From 7b61d4ffd17bd6cfdc8ccd55465544006eebcdfd Mon Sep 17 00:00:00 2001
From: zulissimeta <zulissimeta@users.noreply.github.com>
Date: Wed, 17 Apr 2024 17:29:09 +0000
Subject: [PATCH] deploy: 3edcf8000b1dc37fd00f00fd8b2622c5bf7e49f4

---
 .buildinfo                                    |    2 +-
 .../train.txt                                 | 1187 +-----
 .../mass-inference.txt                        |   49 +-
 ...65a7373c812846544444edb8782cf62a3bbac7.png |  Bin 0 -> 24909 bytes
 ...98f6edea6a10e85281888a20b9794ce2c728e1.png |  Bin 34937 -> 0 bytes
 ...569351dea54e1d152bbc1c37d3d108af52e799.png |  Bin 0 -> 26553 bytes
 ...ff067760abf3376dadceb40e5dd013613dd292.png |  Bin 21684 -> 0 bytes
 ...ff7b746454a1b5da3bc3e6aa9e9da4b8cc81a3.png |  Bin 174954 -> 0 bytes
 ...1882bf283d1c61c675e293e8320628657e13d3.png |  Bin 30002 -> 0 bytes
 ...ee393783111647d8570539540a9dd6f964dddc.png |  Bin 26516 -> 0 bytes
 ...d773c45c49d9abcac65f859abc611f8b1fc759.png |  Bin 0 -> 34938 bytes
 ...e324f2cb6a6650a860f5e35391dcaa25573435.png |  Bin 0 -> 8616 bytes
 ...87960f8a0bbbd4cd66ed19728fc7893d09b3bd.png |  Bin 0 -> 31937 bytes
 ...e3439eec937bceb84ba422addd9d9d5974ed8d.png |  Bin 0 -> 93119 bytes
 ...096926def4347c7058384ec9cfeb9b05c4f385.png |  Bin 8771 -> 0 bytes
 ...22046abe7db23613536b449f1dd94f5f42dcb1.png |  Bin 0 -> 16614 bytes
 ...29747f2425e39a3d3be78b205c036848adc458.png |  Bin 0 -> 21077 bytes
 ...bc74db5d1a0965e76810d25d53f2c0c1315fb3.png |  Bin 0 -> 175011 bytes
 ...33dfc5cad86df966ad654d7615cb13df4d5c2e.png |  Bin 14222 -> 0 bytes
 .../core/fine-tuning/fine-tuning-oxides.md    |    4 +-
 _sources/index.md                             |    2 +-
 .../advanced/fine-tuning-in-python.md         |    4 +-
 _static/basic.css                             |    2 +-
 _static/doctools.js                           |    2 +-
 _static/graphviz.css                          |    2 +-
 _static/language_data.js                      |    4 +-
 _static/searchtools.js                        |  165 +-
 autoapi/index.html                            |    6 +-
 .../ocpmodels/common/data_parallel/index.html |    4 +-
 autoapi/ocpmodels/common/distutils/index.html |    4 +-
 autoapi/ocpmodels/common/flags/index.html     |    4 +-
 autoapi/ocpmodels/common/gp_utils/index.html  |    4 +-
 autoapi/ocpmodels/common/hpo_utils/index.html |    4 +-
 autoapi/ocpmodels/common/index.html           |    6 +-
 autoapi/ocpmodels/common/logger/index.html    |    4 +-
 autoapi/ocpmodels/common/registry/index.html  |    4 +-
 .../common/relaxation/ase_utils/index.html    |    4 +-
 .../ocpmodels/common/relaxation/index.html    |    4 +-
 .../relaxation/ml_relaxation/index.html       |    4 +-
 .../common/relaxation/optimizers/index.html   |    4 +-
 .../optimizers/lbfgs_torch/index.html         |    4 +-
 .../ocpmodels/common/transforms/index.html    |    4 +-
 .../common/tutorial_utils/index.html          |    4 +-
 autoapi/ocpmodels/common/typing/index.html    |    4 +-
 autoapi/ocpmodels/common/utils/index.html     |    4 +-
 autoapi/ocpmodels/datasets/_utils/index.html  |    4 +-
 .../datasets/ase_datasets/index.html          |    4 +-
 .../embeddings/atomic_radii/index.html        |    4 +-
 .../continuous_embeddings/index.html          |    4 +-
 .../ocpmodels/datasets/embeddings/index.html  |    4 +-
 .../embeddings/khot_embeddings/index.html     |    4 +-
 .../qmof_khot_embeddings/index.html           |    4 +-
 autoapi/ocpmodels/datasets/index.html         |    4 +-
 .../datasets/lmdb_database/index.html         |    4 +-
 .../datasets/lmdb_dataset/index.html          |    4 +-
 .../datasets/oc22_lmdb_dataset/index.html     |    4 +-
 .../target_metadata_guesser/index.html        |    4 +-
 autoapi/ocpmodels/index.html                  |    6 +-
 autoapi/ocpmodels/models/base/index.html      |    4 +-
 .../models/dimenet_plus_plus/index.html       |    4 +-
 .../equiformer_v2/activation/index.html       |    4 +-
 .../models/equiformer_v2/drop/index.html      |    4 +-
 .../equiformer_v2/edge_rot_mat/index.html     |    4 +-
 .../equiformer_v2_oc20/index.html             |    4 +-
 .../equiformer_v2/gaussian_rbf/index.html     |    4 +-
 .../ocpmodels/models/equiformer_v2/index.html |    4 +-
 .../equiformer_v2/input_block/index.html      |    4 +-
 .../equiformer_v2/layer_norm/index.html       |    4 +-
 .../equiformer_v2/module_list/index.html      |    4 +-
 .../equiformer_v2/radial_function/index.html  |    4 +-
 .../models/equiformer_v2/so2_ops/index.html   |    4 +-
 .../models/equiformer_v2/so3/index.html       |    4 +-
 .../trainers/energy_trainer/index.html        |    4 +-
 .../trainers/forces_trainer/index.html        |    4 +-
 .../models/equiformer_v2/trainers/index.html  |    4 +-
 .../trainers/lr_scheduler/index.html          |    4 +-
 .../transformer_block/index.html              |    4 +-
 .../models/equiformer_v2/wigner/index.html    |    4 +-
 autoapi/ocpmodels/models/escn/escn/index.html |    4 +-
 autoapi/ocpmodels/models/escn/index.html      |    4 +-
 autoapi/ocpmodels/models/escn/so3/index.html  |    4 +-
 .../ocpmodels/models/gemnet/gemnet/index.html |    8 +-
 autoapi/ocpmodels/models/gemnet/index.html    |    8 +-
 .../models/gemnet/initializers/index.html     |    4 +-
 .../layers/atom_update_block/index.html       |    4 +-
 .../gemnet/layers/base_layers/index.html      |    4 +-
 .../gemnet/layers/basis_utils/index.html      |    4 +-
 .../models/gemnet/layers/efficient/index.html |   20 +-
 .../gemnet/layers/embedding_block/index.html  |   10 +-
 .../ocpmodels/models/gemnet/layers/index.html |    4 +-
 .../layers/interaction_block/index.html       |    4 +-
 .../gemnet/layers/radial_basis/index.html     |    4 +-
 .../gemnet/layers/spherical_basis/index.html  |    4 +-
 .../ocpmodels/models/gemnet/utils/index.html  |    4 +-
 .../models/gemnet_gp/gemnet/index.html        |    8 +-
 autoapi/ocpmodels/models/gemnet_gp/index.html |    8 +-
 .../models/gemnet_gp/initializers/index.html  |    4 +-
 .../layers/atom_update_block/index.html       |    4 +-
 .../gemnet_gp/layers/base_layers/index.html   |    4 +-
 .../gemnet_gp/layers/basis_utils/index.html   |    4 +-
 .../gemnet_gp/layers/efficient/index.html     |   20 +-
 .../layers/embedding_block/index.html         |   10 +-
 .../models/gemnet_gp/layers/index.html        |    4 +-
 .../layers/interaction_block/index.html       |    4 +-
 .../gemnet_gp/layers/radial_basis/index.html  |    4 +-
 .../layers/spherical_basis/index.html         |    4 +-
 .../models/gemnet_gp/utils/index.html         |    4 +-
 .../models/gemnet_oc/gemnet_oc/index.html     |    8 +-
 autoapi/ocpmodels/models/gemnet_oc/index.html |    8 +-
 .../models/gemnet_oc/initializers/index.html  |    4 +-
 .../gemnet_oc/interaction_indices/index.html  |    4 +-
 .../layers/atom_update_block/index.html       |    4 +-
 .../gemnet_oc/layers/base_layers/index.html   |    4 +-
 .../gemnet_oc/layers/basis_utils/index.html   |    4 +-
 .../gemnet_oc/layers/efficient/index.html     |    4 +-
 .../layers/embedding_block/index.html         |    4 +-
 .../gemnet_oc/layers/force_scaler/index.html  |    4 +-
 .../models/gemnet_oc/layers/index.html        |    4 +-
 .../layers/interaction_block/index.html       |    4 +-
 .../gemnet_oc/layers/radial_basis/index.html  |    4 +-
 .../layers/spherical_basis/index.html         |    4 +-
 .../models/gemnet_oc/utils/index.html         |    4 +-
 autoapi/ocpmodels/models/index.html           |    8 +-
 .../models/model_registry/index.html          |    6 +-
 autoapi/ocpmodels/models/painn/index.html     |    6 +-
 .../ocpmodels/models/painn/painn/index.html   |    4 +-
 .../ocpmodels/models/painn/utils/index.html   |    4 +-
 autoapi/ocpmodels/models/schnet/index.html    |    4 +-
 autoapi/ocpmodels/models/scn/index.html       |    4 +-
 .../ocpmodels/models/scn/sampling/index.html  |    4 +-
 autoapi/ocpmodels/models/scn/scn/index.html   |    4 +-
 .../ocpmodels/models/scn/smearing/index.html  |    4 +-
 .../models/scn/spherical_harmonics/index.html |    4 +-
 .../models/utils/activations/index.html       |    4 +-
 .../ocpmodels/models/utils/basis/index.html   |    4 +-
 autoapi/ocpmodels/models/utils/index.html     |    4 +-
 .../ocpmodels/modules/evaluator/index.html    |    4 +-
 .../exponential_moving_average/index.html     |    4 +-
 autoapi/ocpmodels/modules/index.html          |    4 +-
 autoapi/ocpmodels/modules/loss/index.html     |    4 +-
 .../ocpmodels/modules/normalizer/index.html   |    4 +-
 .../modules/scaling/compat/index.html         |    4 +-
 .../ocpmodels/modules/scaling/fit/index.html  |    4 +-
 autoapi/ocpmodels/modules/scaling/index.html  |    4 +-
 .../modules/scaling/scale_factor/index.html   |    4 +-
 .../ocpmodels/modules/scaling/util/index.html |    4 +-
 .../ocpmodels/modules/scheduler/index.html    |    4 +-
 .../ocpmodels/modules/transforms/index.html   |    4 +-
 .../preprocessing/atoms_to_graphs/index.html  |   30 +-
 autoapi/ocpmodels/preprocessing/index.html    |   30 +-
 autoapi/ocpmodels/tasks/index.html            |    4 +-
 autoapi/ocpmodels/tasks/task/index.html       |    4 +-
 .../trainers/base_trainer/index.html          |    4 +-
 autoapi/ocpmodels/trainers/index.html         |    4 +-
 .../ocpmodels/trainers/ocp_trainer/index.html |    4 +-
 core/ase_dataset_creation.html                |    4 +-
 core/datasets/oc20.html                       |    4 +-
 core/datasets/oc22.html                       |    4 +-
 core/datasets/odac.html                       |    4 +-
 core/fine-tuning/fine-tuning-oxides.html      |   61 +-
 core/gotchas.html                             |   91 +-
 core/inference.html                           | 1028 ++++-
 core/install.html                             |    4 +-
 core/intro_series.html                        |    4 +-
 core/license.html                             |    4 +-
 core/lmdb_dataset_creation.html               |   38 +-
 core/model_checkpoints.html                   |    4 +-
 core/model_faq.html                           |    4 +-
 core/model_training.html                      |    4 +-
 core/ocpapi.html                              |  312 +-
 core/papers_using_models.html                 |    4 +-
 core/quickstart.html                          |   41 +-
 execution_time.html                           |   68 +-
 genindex.html                                 |    4 +-
 index.html                                    |    8 +-
 legacy_tutorials/OCP_Tutorial.html            | 1446 ++++---
 legacy_tutorials/data_preprocessing.html      |    4 +-
 legacy_tutorials/data_visualization.html      |  206 +-
 legacy_tutorials/legacy_tutorials.html        |    6 +-
 py-modindex.html                              |    4 +-
 .../fine-tuning/fine-tuning-oxides.err.log    |   47 -
 .../advanced/fine-tuning-in-python.err.log    |  116 +-
 search.html                                   |    4 +-
 searchindex.js                                |    2 +-
 tutorials/NRR/NRR_example.html                |   71 +-
 tutorials/NRR/NRR_toc.html                    |    4 +-
 tutorials/OCP-introduction.html               |  105 +-
 tutorials/adsorbml_walkthrough.html           |  540 ++-
 tutorials/advanced/advanced_toc.html          |    4 +-
 tutorials/advanced/embeddings.html            |    4 +-
 tutorials/advanced/fine-tuning-in-python.html | 3471 +----------------
 tutorials/intro.html                          |   12 +-
 videos/technical_talks.html                   |    4 +-
 193 files changed, 3152 insertions(+), 6662 deletions(-)
 create mode 100644 _images/1109562e7d207b01d4bbaec75065a7373c812846544444edb8782cf62a3bbac7.png
 delete mode 100644 _images/1c00a60ec6825804ceaf2cd92498f6edea6a10e85281888a20b9794ce2c728e1.png
 create mode 100644 _images/48b93de6c90cd9cc12e813f797569351dea54e1d152bbc1c37d3d108af52e799.png
 delete mode 100644 _images/4ee738dfd70ee746d6ead36948ff067760abf3376dadceb40e5dd013613dd292.png
 delete mode 100644 _images/607f0166a64aed08effeb0d2f3ff7b746454a1b5da3bc3e6aa9e9da4b8cc81a3.png
 delete mode 100644 _images/79f404471d0a96304761c63c7a1882bf283d1c61c675e293e8320628657e13d3.png
 delete mode 100644 _images/870ff688994fc3d778678cdb65ee393783111647d8570539540a9dd6f964dddc.png
 create mode 100644 _images/8856f2fef112cf2b683e065c74d773c45c49d9abcac65f859abc611f8b1fc759.png
 create mode 100644 _images/8cbca623496582a115538a3185e324f2cb6a6650a860f5e35391dcaa25573435.png
 create mode 100644 _images/adb891328fabd0a89c888b81b387960f8a0bbbd4cd66ed19728fc7893d09b3bd.png
 create mode 100644 _images/bed8167be37c92b5d71e2ae9cae3439eec937bceb84ba422addd9d9d5974ed8d.png
 delete mode 100644 _images/cb636783f02f8ffa9a8f1612f9096926def4347c7058384ec9cfeb9b05c4f385.png
 create mode 100644 _images/db59e456e02313c8795362533022046abe7db23613536b449f1dd94f5f42dcb1.png
 create mode 100644 _images/dcdc99549323297e5dd30a0baf29747f2425e39a3d3be78b205c036848adc458.png
 create mode 100644 _images/dff1fbc3de1f6dc1e221f96257bc74db5d1a0965e76810d25d53f2c0c1315fb3.png
 delete mode 100644 _images/fa083ce0dec8caded35818ff6f33dfc5cad86df966ad654d7615cb13df4d5c2e.png
 delete mode 100644 reports/core/fine-tuning/fine-tuning-oxides.err.log

diff --git a/.buildinfo b/.buildinfo
index 52f975105..3a165ceb0 100644
--- a/.buildinfo
+++ b/.buildinfo
@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: ac0276eee55fc00b9e2e0b7128308701
+config: efa2b153c9e066cd129008874a6226a9
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt b/_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt
index 5e32b16cc..19a01b3bc 100644
--- a/_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt
+++ b/_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt
@@ -1,17 +1,17 @@
-2024-04-16 22:31:05 (INFO): Project root: /home/runner/work/ocp/ocp
+2024-04-17 16:29:33 (INFO): Project root: /home/runner/work/ocp/ocp
 /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
-2024-04-16 22:31:07 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
-2024-04-16 22:31:07 (INFO): amp: true
+2024-04-17 16:29:35 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+2024-04-17 16:29:35 (INFO): amp: true
 cmd:
-  checkpoint_dir: fine-tuning/checkpoints/2024-04-16-22-30-24-ft-oxides
-  commit: 46df531
+  checkpoint_dir: fine-tuning/checkpoints/2024-04-17-16-29-52-ft-oxides
+  commit: 3edcf80
   identifier: ft-oxides
-  logs_dir: fine-tuning/logs/tensorboard/2024-04-16-22-30-24-ft-oxides
+  logs_dir: fine-tuning/logs/tensorboard/2024-04-17-16-29-52-ft-oxides
   print_every: 10
-  results_dir: fine-tuning/results/2024-04-16-22-30-24-ft-oxides
+  results_dir: fine-tuning/results/2024-04-17-16-29-52-ft-oxides
   seed: 0
-  timestamp_id: 2024-04-16-22-30-24-ft-oxides
+  timestamp_id: 2024-04-17-16-29-52-ft-oxides
 dataset:
   a2g_args:
     r_energy: true
@@ -34,7 +34,6 @@ eval_metrics:
     - magnitude_error
     misc:
     - energy_forces_within_threshold
-  primary_metric: forces_mae
 gpus: 0
 logger: tensorboard
 loss_fns:
@@ -106,13 +105,13 @@ optim:
   ema_decay: 0.999
   energy_coefficient: 1
   eval_batch_size: 16
-  eval_every: 1
+  eval_every: 10
   factor: 0.8
   force_coefficient: 1
   load_balancing: atoms
   loss_energy: mae
   lr_initial: 0.0005
-  max_epochs: 4
+  max_epochs: 1
   mode: min
   num_workers: 2
   optimizer: AdamW
@@ -143,1095 +142,34 @@ val_dataset:
     r_forces: true
   src: val.db
 
-2024-04-16 22:31:07 (INFO): Loading dataset: ase_db
-2024-04-16 22:31:07 (INFO): rank: 0: Sampler created...
-2024-04-16 22:31:07 (INFO): Batch balancing is disabled for single GPU training.
-2024-04-16 22:31:07 (INFO): rank: 0: Sampler created...
-2024-04-16 22:31:07 (INFO): Batch balancing is disabled for single GPU training.
-2024-04-16 22:31:07 (INFO): rank: 0: Sampler created...
-2024-04-16 22:31:07 (INFO): Batch balancing is disabled for single GPU training.
-2024-04-16 22:31:07 (INFO): Loading model: gemnet_oc
-2024-04-16 22:31:07 (WARNING): Unrecognized arguments: ['symmetric_edge_symmetrization']
-2024-04-16 22:31:09 (INFO): Loaded GemNetOC with 38864438 parameters.
-2024-04-16 22:31:09 (WARNING): Model gradient logging to tensorboard not yet supported.
-2024-04-16 22:31:09 (WARNING): Using `weight_decay` from `optim` instead of `optim.optimizer_params`.Please update your config to use `optim.optimizer_params.weight_decay`.`optim.weight_decay` will soon be deprecated.
-2024-04-16 22:31:10 (INFO): Loading checkpoint from: /tmp/ocp_checkpoints/gnoc_oc22_oc20_all_s2ef.pt
-2024-04-16 22:31:10 (INFO): Overwriting scaling factors with those loaded from checkpoint. If you're generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+2024-04-17 16:29:35 (INFO): Loading dataset: ase_db
+2024-04-17 16:29:35 (INFO): rank: 0: Sampler created...
+2024-04-17 16:29:35 (INFO): Batch balancing is disabled for single GPU training.
+2024-04-17 16:29:35 (INFO): rank: 0: Sampler created...
+2024-04-17 16:29:35 (INFO): Batch balancing is disabled for single GPU training.
+2024-04-17 16:29:35 (INFO): rank: 0: Sampler created...
+2024-04-17 16:29:35 (INFO): Batch balancing is disabled for single GPU training.
+2024-04-17 16:29:35 (INFO): Loading model: gemnet_oc
+2024-04-17 16:29:35 (WARNING): Unrecognized arguments: ['symmetric_edge_symmetrization']
+2024-04-17 16:29:37 (INFO): Loaded GemNetOC with 38864438 parameters.
+2024-04-17 16:29:37 (WARNING): Model gradient logging to tensorboard not yet supported.
+2024-04-17 16:29:37 (WARNING): Using `weight_decay` from `optim` instead of `optim.optimizer_params`.Please update your config to use `optim.optimizer_params.weight_decay`.`optim.weight_decay` will soon be deprecated.
+2024-04-17 16:29:37 (INFO): Loading checkpoint from: /tmp/ocp_checkpoints/gnoc_oc22_oc20_all_s2ef.pt
+2024-04-17 16:29:38 (INFO): Overwriting scaling factors with those loaded from checkpoint. If you're generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
 /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   storage = elem.storage()._new_shared(numel)
 /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   storage = elem.storage()._new_shared(numel)
 /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/amp/autocast_mode.py:250: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
   warnings.warn(
-2024-04-16 22:31:15 (INFO): Evaluating on val.
+2024-04-17 16:30:01 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 6.77e+00, forcesx_mae: 4.11e-02, forcesy_mae: 3.63e-02, forcesz_mae: 5.26e-02, forces_mae: 4.33e-02, forces_cosine_similarity: 8.24e-02, forces_magnitude_error: 7.42e-02, loss: 6.86e+00, lr: 5.00e-04, epoch: 1.69e-01, step: 1.00e+01
+2024-04-17 16:30:01 (INFO): Evaluating on val.
 
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   storage = elem.storage()._new_shared(numel)
 /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.54s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.44s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.64s/it]
-2024-04-16 22:31:22 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 3.1485, forcesx_mae: 0.0087, forcesy_mae: 0.0115, forcesz_mae: 0.0073, forces_mae: 0.0091, forces_cosine_similarity: 0.1001, forces_magnitude_error: 0.0119, loss: 3.1643, epoch: 0.0169
-2024-04-16 22:31:22 (INFO): Predicting on test.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:02<00:02,  2.81s/it]
device 0: 100%|██████████| 2/2 [00:05<00:00,  2.64s/it]
device 0: 100%|██████████| 2/2 [00:05<00:00,  2.72s/it]
-/home/runner/work/ocp/ocp/ocpmodels/trainers/ocp_trainer.py:510: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
-  predictions[key] = np.array(predictions[key])
-/home/runner/work/ocp/ocp/ocpmodels/trainers/base_trainer.py:840: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
-  np.array(gather_results[k])[idx]
-2024-04-16 22:31:28 (INFO): Writing results to fine-tuning/results/2024-04-16-22-30-24-ft-oxides/ocp_predictions.npz
-2024-04-16 22:31:32 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.12s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.42s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.58s/it]
-2024-04-16 22:31:39 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 5.4682, forcesx_mae: 0.0192, forcesy_mae: 0.0185, forcesz_mae: 0.0173, forces_mae: 0.0183, forces_cosine_similarity: 0.0143, forces_magnitude_error: 0.0212, loss: 5.4885, epoch: 0.0339
-2024-04-16 22:31:44 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.55s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.57s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.79s/it]
-2024-04-16 22:31:52 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 7.0455, forcesx_mae: 0.0109, forcesy_mae: 0.0145, forcesz_mae: 0.0132, forces_mae: 0.0129, forces_cosine_similarity: -0.1366, forces_magnitude_error: 0.0111, loss: 7.0034, epoch: 0.0508
-2024-04-16 22:31:55 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.63s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.50s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.75s/it]
-2024-04-16 22:32:03 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 9.0700, forcesx_mae: 0.0265, forcesy_mae: 0.0221, forcesz_mae: 0.0256, forces_mae: 0.0247, forces_cosine_similarity: -0.0203, forces_magnitude_error: 0.0352, loss: 9.0104, epoch: 0.0678
-2024-04-16 22:32:08 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.09s/it]
device 0: 100%|██████████| 2/2 [00:06<00:00,  3.30s/it]
device 0: 100%|██████████| 2/2 [00:06<00:00,  3.48s/it]
-2024-04-16 22:32:15 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 10.2165, forcesx_mae: 0.0291, forcesy_mae: 0.0281, forcesz_mae: 0.0283, forces_mae: 0.0285, forces_cosine_similarity: -0.0326, forces_magnitude_error: 0.0414, loss: 10.1878, epoch: 0.0847
-2024-04-16 22:32:19 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.36s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.46s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.67s/it]
-2024-04-16 22:32:26 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 10.2979, forcesx_mae: 0.0192, forcesy_mae: 0.0177, forcesz_mae: 0.0159, forces_mae: 0.0176, forces_cosine_similarity: -0.0028, forces_magnitude_error: 0.0218, loss: 10.2099, epoch: 0.1017
-2024-04-16 22:32:31 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.12s/it]
device 0: 100%|██████████| 2/2 [00:06<00:00,  3.37s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.55s/it]
-2024-04-16 22:32:38 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 10.1970, forcesx_mae: 0.0158, forcesy_mae: 0.0183, forcesz_mae: 0.0169, forces_mae: 0.0170, forces_cosine_similarity: -0.0445, forces_magnitude_error: 0.0184, loss: 10.1302, epoch: 0.1186
-2024-04-16 22:32:42 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.30s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.47s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.67s/it]
-2024-04-16 22:32:50 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 11.6947, forcesx_mae: 0.0175, forcesy_mae: 0.0202, forcesz_mae: 0.0180, forces_mae: 0.0186, forces_cosine_similarity: -0.0505, forces_magnitude_error: 0.0231, loss: 11.6073, epoch: 0.1356
-2024-04-16 22:32:53 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.45s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.49s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.71s/it]
-2024-04-16 22:33:01 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 10.0962, forcesx_mae: 0.0157, forcesy_mae: 0.0157, forcesz_mae: 0.0163, forces_mae: 0.0159, forces_cosine_similarity: 0.0205, forces_magnitude_error: 0.0223, loss: 10.0102, epoch: 0.1525
-2024-04-16 22:33:03 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 6.50e+00, forcesx_mae: 4.14e-02, forcesy_mae: 3.64e-02, forcesz_mae: 5.10e-02, forces_mae: 4.29e-02, forces_cosine_similarity: 9.37e-02, forces_magnitude_error: 7.26e-02, loss: 6.58e+00, lr: 3.20e-04, epoch: 1.69e-01, step: 1.00e+01
-2024-04-16 22:33:05 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.32s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.45s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.65s/it]
-2024-04-16 22:33:12 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 11.3320, forcesx_mae: 0.0179, forcesy_mae: 0.0150, forcesz_mae: 0.0184, forces_mae: 0.0171, forces_cosine_similarity: -0.0407, forces_magnitude_error: 0.0255, loss: 11.2244, epoch: 0.1695
-2024-04-16 22:33:17 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.50s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.65s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.85s/it]
-2024-04-16 22:33:25 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 13.3116, forcesx_mae: 0.0187, forcesy_mae: 0.0156, forcesz_mae: 0.0198, forces_mae: 0.0180, forces_cosine_similarity: -0.0785, forces_magnitude_error: 0.0269, loss: 13.1674, epoch: 0.1864
-2024-04-16 22:33:29 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.44s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.58s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.80s/it]
-2024-04-16 22:33:36 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 11.6753, forcesx_mae: 0.0183, forcesy_mae: 0.0154, forcesz_mae: 0.0206, forces_mae: 0.0181, forces_cosine_similarity: -0.0357, forces_magnitude_error: 0.0271, loss: 11.5530, epoch: 0.2034
-2024-04-16 22:33:41 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.35s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.46s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.67s/it]
-2024-04-16 22:33:48 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 8.3150, forcesx_mae: 0.0167, forcesy_mae: 0.0143, forcesz_mae: 0.0191, forces_mae: 0.0167, forces_cosine_similarity: 0.0705, forces_magnitude_error: 0.0248, loss: 8.2803, epoch: 0.2203
-2024-04-16 22:33:53 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.53s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.51s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.75s/it]
-2024-04-16 22:34:00 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 6.4459, forcesx_mae: 0.0132, forcesy_mae: 0.0118, forcesz_mae: 0.0124, forces_mae: 0.0125, forces_cosine_similarity: 0.0741, forces_magnitude_error: 0.0174, loss: 6.3985, epoch: 0.2373
-2024-04-16 22:34:04 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.62s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.55s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.80s/it]
-2024-04-16 22:34:12 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 6.6053, forcesx_mae: 0.0123, forcesy_mae: 0.0118, forcesz_mae: 0.0140, forces_mae: 0.0127, forces_cosine_similarity: -0.0477, forces_magnitude_error: 0.0179, loss: 6.5571, epoch: 0.2542
-2024-04-16 22:34:15 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.55s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.48s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.75s/it]
-2024-04-16 22:34:23 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 8.8267, forcesx_mae: 0.0268, forcesy_mae: 0.0173, forcesz_mae: 0.0455, forces_mae: 0.0299, forces_cosine_similarity: -0.0367, forces_magnitude_error: 0.0564, loss: 8.9206, epoch: 0.2712
-2024-04-16 22:34:28 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.61s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.77s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.97s/it]
-2024-04-16 22:34:37 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 13.4360, forcesx_mae: 0.1379, forcesy_mae: 0.0575, forcesz_mae: 0.1490, forces_mae: 0.1148, forces_cosine_similarity: 0.0383, forces_magnitude_error: 0.2568, loss: 13.9780, epoch: 0.2881
-2024-04-16 22:34:42 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.50s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.86s/it]
-2024-04-16 22:34:50 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 9.2142, forcesx_mae: 0.0698, forcesy_mae: 0.0505, forcesz_mae: 0.0665, forces_mae: 0.0623, forces_cosine_similarity: 0.0905, forces_magnitude_error: 0.1201, loss: 9.3371, epoch: 0.3051
-2024-04-16 22:34:56 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.50s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.65s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.86s/it]
-2024-04-16 22:35:03 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 18.3130, forcesx_mae: 0.0255, forcesy_mae: 0.0275, forcesz_mae: 0.0217, forces_mae: 0.0249, forces_cosine_similarity: 0.1273, forces_magnitude_error: 0.0363, loss: 18.4632, epoch: 0.3220
-2024-04-16 22:35:06 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.13e+01, forcesx_mae: 6.85e-02, forcesy_mae: 4.44e-02, forcesz_mae: 5.69e-02, forces_mae: 5.66e-02, forces_cosine_similarity: -1.49e-01, forces_magnitude_error: 9.71e-02, loss: 1.14e+01, lr: 2.05e-04, epoch: 3.39e-01, step: 2.00e+01
-2024-04-16 22:35:08 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.53s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.53s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.77s/it]
-2024-04-16 22:35:16 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 17.6063, forcesx_mae: 0.0222, forcesy_mae: 0.0192, forcesz_mae: 0.0204, forces_mae: 0.0206, forces_cosine_similarity: 0.0464, forces_magnitude_error: 0.0283, loss: 17.7898, epoch: 0.3390
-2024-04-16 22:35:20 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.68s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.61s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.88s/it]
-2024-04-16 22:35:28 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 9.2154, forcesx_mae: 0.0271, forcesy_mae: 0.0225, forcesz_mae: 0.0235, forces_mae: 0.0244, forces_cosine_similarity: 0.1727, forces_magnitude_error: 0.0381, loss: 9.2574, epoch: 0.3559
-2024-04-16 22:35:32 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.56s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.57s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.81s/it]
-2024-04-16 22:35:40 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 6.6395, forcesx_mae: 0.0270, forcesy_mae: 0.0224, forcesz_mae: 0.0210, forces_mae: 0.0235, forces_cosine_similarity: 0.1715, forces_magnitude_error: 0.0370, loss: 6.6691, epoch: 0.3729
-2024-04-16 22:35:43 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.67s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.71s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.95s/it]
-2024-04-16 22:35:51 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 4.5364, forcesx_mae: 0.0177, forcesy_mae: 0.0161, forcesz_mae: 0.0123, forces_mae: 0.0154, forces_cosine_similarity: 0.1084, forces_magnitude_error: 0.0224, loss: 4.5662, epoch: 0.3898
-2024-04-16 22:35:56 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.66s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.56s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.83s/it]
-2024-04-16 22:36:04 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 3.5990, forcesx_mae: 0.0148, forcesy_mae: 0.0142, forcesz_mae: 0.0119, forces_mae: 0.0136, forces_cosine_similarity: 0.0659, forces_magnitude_error: 0.0171, loss: 3.5916, epoch: 0.4068
-2024-04-16 22:36:08 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.69s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.69s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.94s/it]
-2024-04-16 22:36:16 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 2.7018, forcesx_mae: 0.0149, forcesy_mae: 0.0153, forcesz_mae: 0.0129, forces_mae: 0.0144, forces_cosine_similarity: 0.0553, forces_magnitude_error: 0.0152, loss: 2.7043, epoch: 0.4237
-2024-04-16 22:36:20 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.67s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.66s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.90s/it]
-2024-04-16 22:36:28 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.6941, forcesx_mae: 0.0128, forcesy_mae: 0.0145, forcesz_mae: 0.0125, forces_mae: 0.0133, forces_cosine_similarity: 0.0178, forces_magnitude_error: 0.0133, loss: 2.7043, epoch: 0.4407
-2024-04-16 22:36:32 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.62s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.66s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.90s/it]
-2024-04-16 22:36:40 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.3905, forcesx_mae: 0.0114, forcesy_mae: 0.0136, forcesz_mae: 0.0119, forces_mae: 0.0123, forces_cosine_similarity: -0.0488, forces_magnitude_error: 0.0126, loss: 2.3996, epoch: 0.4576
-2024-04-16 22:36:44 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.71s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.55s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.81s/it]
-2024-04-16 22:36:51 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.3812, forcesx_mae: 0.0111, forcesy_mae: 0.0122, forcesz_mae: 0.0083, forces_mae: 0.0106, forces_cosine_similarity: -0.0155, forces_magnitude_error: 0.0140, loss: 2.4251, epoch: 0.4746
-2024-04-16 22:36:55 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.66s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.90s/it]
-2024-04-16 22:37:03 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.9895, forcesx_mae: 0.0127, forcesy_mae: 0.0125, forcesz_mae: 0.0086, forces_mae: 0.0112, forces_cosine_similarity: 0.0190, forces_magnitude_error: 0.0146, loss: 3.0203, epoch: 0.4915
-2024-04-16 22:37:05 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 5.48e+00, forcesx_mae: 1.10e-02, forcesy_mae: 9.65e-03, forcesz_mae: 1.36e-02, forces_mae: 1.14e-02, forces_cosine_similarity: -1.76e-02, forces_magnitude_error: 1.34e-02, loss: 5.51e+00, lr: 1.05e-04, epoch: 5.08e-01, step: 3.00e+01
-2024-04-16 22:37:07 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.55s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.52s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.78s/it]
-2024-04-16 22:37:14 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.1661, forcesx_mae: 0.0104, forcesy_mae: 0.0116, forcesz_mae: 0.0079, forces_mae: 0.0100, forces_cosine_similarity: 0.0462, forces_magnitude_error: 0.0132, loss: 2.2018, epoch: 0.5085
-2024-04-16 22:37:20 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.49s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.63s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.86s/it]
-2024-04-16 22:37:28 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.5720, forcesx_mae: 0.0097, forcesy_mae: 0.0114, forcesz_mae: 0.0075, forces_mae: 0.0095, forces_cosine_similarity: -0.0048, forces_magnitude_error: 0.0130, loss: 1.6110, epoch: 0.5254
-2024-04-16 22:37:33 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.52s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.86s/it]
-2024-04-16 22:37:41 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.4124, forcesx_mae: 0.0095, forcesy_mae: 0.0117, forcesz_mae: 0.0079, forces_mae: 0.0097, forces_cosine_similarity: -0.0253, forces_magnitude_error: 0.0123, loss: 1.4379, epoch: 0.5424
-2024-04-16 22:37:46 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.68s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.68s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.94s/it]
-2024-04-16 22:37:54 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 2.1060, forcesx_mae: 0.0101, forcesy_mae: 0.0125, forcesz_mae: 0.0090, forces_mae: 0.0106, forces_cosine_similarity: 0.0324, forces_magnitude_error: 0.0127, loss: 2.1192, epoch: 0.5593
-2024-04-16 22:37:57 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.89s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.82s/it]
device 0: 100%|██████████| 2/2 [00:08<00:00,  4.09s/it]
-2024-04-16 22:38:05 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.5403, forcesx_mae: 0.0106, forcesy_mae: 0.0131, forcesz_mae: 0.0099, forces_mae: 0.0112, forces_cosine_similarity: 0.0168, forces_magnitude_error: 0.0131, loss: 2.5480, epoch: 0.5763
-2024-04-16 22:38:10 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.62s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.66s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.91s/it]
-2024-04-16 22:38:18 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.6834, forcesx_mae: 0.0109, forcesy_mae: 0.0135, forcesz_mae: 0.0103, forces_mae: 0.0116, forces_cosine_similarity: 0.0402, forces_magnitude_error: 0.0135, loss: 2.6910, epoch: 0.5932
-2024-04-16 22:38:22 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.60s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.63s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.88s/it]
-2024-04-16 22:38:30 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.6031, forcesx_mae: 0.0111, forcesy_mae: 0.0137, forcesz_mae: 0.0105, forces_mae: 0.0118, forces_cosine_similarity: 0.0444, forces_magnitude_error: 0.0138, loss: 2.6117, epoch: 0.6102
-2024-04-16 22:38:34 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.62s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.57s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.83s/it]
-2024-04-16 22:38:42 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 2.3187, forcesx_mae: 0.0113, forcesy_mae: 0.0139, forcesz_mae: 0.0107, forces_mae: 0.0120, forces_cosine_similarity: 0.0519, forces_magnitude_error: 0.0140, loss: 2.3270, epoch: 0.6271
-2024-04-16 22:38:46 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.58s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.60s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.85s/it]
-2024-04-16 22:38:54 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.0731, forcesx_mae: 0.0114, forcesy_mae: 0.0140, forcesz_mae: 0.0108, forces_mae: 0.0121, forces_cosine_similarity: 0.0659, forces_magnitude_error: 0.0142, loss: 2.0772, epoch: 0.6441
-2024-04-16 22:38:58 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.60s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.61s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.86s/it]
-2024-04-16 22:39:06 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.8496, forcesx_mae: 0.0112, forcesy_mae: 0.0138, forcesz_mae: 0.0106, forces_mae: 0.0119, forces_cosine_similarity: 0.0724, forces_magnitude_error: 0.0143, loss: 1.8491, epoch: 0.6610
-2024-04-16 22:39:09 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.25e+00, forcesx_mae: 1.07e-02, forcesy_mae: 1.16e-02, forcesz_mae: 1.24e-02, forces_mae: 1.16e-02, forces_cosine_similarity: -2.74e-02, forces_magnitude_error: 1.26e-02, loss: 3.28e+00, lr: 6.71e-05, epoch: 6.78e-01, step: 4.00e+01
-2024-04-16 22:39:11 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.70s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.62s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.87s/it]
-2024-04-16 22:39:19 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.7140, forcesx_mae: 0.0109, forcesy_mae: 0.0135, forcesz_mae: 0.0102, forces_mae: 0.0116, forces_cosine_similarity: 0.0665, forces_magnitude_error: 0.0144, loss: 1.7108, epoch: 0.6780
-2024-04-16 22:39:23 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.60s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.62s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.88s/it]
-2024-04-16 22:39:31 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.7462, forcesx_mae: 0.0107, forcesy_mae: 0.0132, forcesz_mae: 0.0098, forces_mae: 0.0112, forces_cosine_similarity: 0.0303, forces_magnitude_error: 0.0146, loss: 1.7435, epoch: 0.6949
-2024-04-16 22:39:35 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.67s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.60s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.86s/it]
-2024-04-16 22:39:43 (INFO): energy_forces_within_threshold: 0.0667, energy_mae: 2.0293, forcesx_mae: 0.0104, forcesy_mae: 0.0129, forcesz_mae: 0.0095, forces_mae: 0.0110, forces_cosine_similarity: 0.0386, forces_magnitude_error: 0.0149, loss: 2.0324, epoch: 0.7119
-2024-04-16 22:39:47 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.61s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.62s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.88s/it]
-2024-04-16 22:39:55 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.2652, forcesx_mae: 0.0101, forcesy_mae: 0.0127, forcesz_mae: 0.0093, forces_mae: 0.0107, forces_cosine_similarity: 0.0431, forces_magnitude_error: 0.0150, loss: 2.2702, epoch: 0.7288
-2024-04-16 22:39:58 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.70s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.67s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.93s/it]
-2024-04-16 22:40:06 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 2.3588, forcesx_mae: 0.0099, forcesy_mae: 0.0125, forcesz_mae: 0.0093, forces_mae: 0.0106, forces_cosine_similarity: 0.0691, forces_magnitude_error: 0.0152, loss: 2.3641, epoch: 0.7458
-2024-04-16 22:40:11 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.51s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.52s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.77s/it]
-2024-04-16 22:40:19 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.3325, forcesx_mae: 0.0098, forcesy_mae: 0.0124, forcesz_mae: 0.0093, forces_mae: 0.0105, forces_cosine_similarity: 0.0628, forces_magnitude_error: 0.0152, loss: 2.3372, epoch: 0.7627
-2024-04-16 22:40:24 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.65s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.90s/it]
-2024-04-16 22:40:32 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.2306, forcesx_mae: 0.0098, forcesy_mae: 0.0124, forcesz_mae: 0.0093, forces_mae: 0.0105, forces_cosine_similarity: 0.0388, forces_magnitude_error: 0.0151, loss: 2.2340, epoch: 0.7797
-2024-04-16 22:40:36 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.66s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.72s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.98s/it]
-2024-04-16 22:40:44 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.0511, forcesx_mae: 0.0097, forcesy_mae: 0.0123, forcesz_mae: 0.0093, forces_mae: 0.0105, forces_cosine_similarity: 0.0324, forces_magnitude_error: 0.0149, loss: 2.0528, epoch: 0.7966
-2024-04-16 22:40:48 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.66s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.63s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.88s/it]
-2024-04-16 22:40:56 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.8344, forcesx_mae: 0.0098, forcesy_mae: 0.0123, forcesz_mae: 0.0094, forces_mae: 0.0105, forces_cosine_similarity: 0.0303, forces_magnitude_error: 0.0147, loss: 1.8342, epoch: 0.8136
-2024-04-16 22:40:59 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.76s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.68s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.96s/it]
-2024-04-16 22:41:07 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.6779, forcesx_mae: 0.0097, forcesy_mae: 0.0122, forcesz_mae: 0.0092, forces_mae: 0.0104, forces_cosine_similarity: 0.0375, forces_magnitude_error: 0.0147, loss: 1.6772, epoch: 0.8305
-2024-04-16 22:41:10 (INFO): energy_forces_within_threshold: 2.50e-02, energy_mae: 1.33e+00, forcesx_mae: 9.88e-03, forcesy_mae: 1.13e-02, forcesz_mae: 8.77e-03, forces_mae: 9.97e-03, forces_cosine_similarity: 1.28e-01, forces_magnitude_error: 1.06e-02, loss: 1.35e+00, lr: 3.44e-05, epoch: 8.47e-01, step: 5.00e+01
-2024-04-16 22:41:12 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.79s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.63s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.90s/it]
-2024-04-16 22:41:20 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 1.6528, forcesx_mae: 0.0096, forcesy_mae: 0.0121, forcesz_mae: 0.0092, forces_mae: 0.0103, forces_cosine_similarity: 0.0449, forces_magnitude_error: 0.0150, loss: 1.6462, epoch: 0.8475
-2024-04-16 22:41:24 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.85s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.76s/it]
device 0: 100%|██████████| 2/2 [00:08<00:00,  4.04s/it]
-2024-04-16 22:41:32 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.5217, forcesx_mae: 0.0097, forcesy_mae: 0.0121, forcesz_mae: 0.0091, forces_mae: 0.0103, forces_cosine_similarity: 0.0467, forces_magnitude_error: 0.0149, loss: 1.5184, epoch: 0.8644
-2024-04-16 22:41:36 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.84s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.68s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.96s/it]
-2024-04-16 22:41:44 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.3849, forcesx_mae: 0.0097, forcesy_mae: 0.0120, forcesz_mae: 0.0090, forces_mae: 0.0102, forces_cosine_similarity: 0.0565, forces_magnitude_error: 0.0148, loss: 1.3856, epoch: 0.8814
-2024-04-16 22:41:48 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.62s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.89s/it]
-2024-04-16 22:41:56 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.2163, forcesx_mae: 0.0097, forcesy_mae: 0.0120, forcesz_mae: 0.0090, forces_mae: 0.0102, forces_cosine_similarity: 0.0465, forces_magnitude_error: 0.0146, loss: 1.2195, epoch: 0.8983
-2024-04-16 22:42:00 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.77s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.69s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.97s/it]
-2024-04-16 22:42:08 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.1416, forcesx_mae: 0.0097, forcesy_mae: 0.0118, forcesz_mae: 0.0088, forces_mae: 0.0101, forces_cosine_similarity: 0.0131, forces_magnitude_error: 0.0144, loss: 1.1476, epoch: 0.9153
-2024-04-16 22:42:12 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.62s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.58s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.83s/it]
-2024-04-16 22:42:20 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.1088, forcesx_mae: 0.0097, forcesy_mae: 0.0117, forcesz_mae: 0.0087, forces_mae: 0.0100, forces_cosine_similarity: 0.0078, forces_magnitude_error: 0.0143, loss: 1.1195, epoch: 0.9322
-2024-04-16 22:42:23 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.80s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.69s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.97s/it]
-2024-04-16 22:42:31 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.0831, forcesx_mae: 0.0097, forcesy_mae: 0.0118, forcesz_mae: 0.0087, forces_mae: 0.0100, forces_cosine_similarity: 0.0098, forces_magnitude_error: 0.0145, loss: 1.0975, epoch: 0.9492
-2024-04-16 22:42:36 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.49s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.50s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.76s/it]
-2024-04-16 22:42:44 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 1.0367, forcesx_mae: 0.0098, forcesy_mae: 0.0118, forcesz_mae: 0.0087, forces_mae: 0.0101, forces_cosine_similarity: 0.0173, forces_magnitude_error: 0.0148, loss: 1.0544, epoch: 0.9661
-2024-04-16 22:42:48 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.79s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.67s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.94s/it]
-2024-04-16 22:42:56 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.0135, forcesx_mae: 0.0099, forcesy_mae: 0.0119, forcesz_mae: 0.0088, forces_mae: 0.0102, forces_cosine_similarity: 0.0259, forces_magnitude_error: 0.0150, loss: 1.0325, epoch: 0.9831
-2024-04-16 22:43:01 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.89s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.62s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.91s/it]
-2024-04-16 22:43:09 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.9900, forcesx_mae: 0.0099, forcesy_mae: 0.0119, forcesz_mae: 0.0089, forces_mae: 0.0102, forces_cosine_similarity: 0.0326, forces_magnitude_error: 0.0152, loss: 1.0102, epoch: 1.0000
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-2024-04-16 22:43:14 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.58e+00, forcesx_mae: 7.49e-03, forcesy_mae: 7.76e-03, forcesz_mae: 7.25e-03, forces_mae: 7.50e-03, forces_cosine_similarity: 1.69e-01, forces_magnitude_error: 9.35e-03, loss: 1.60e+00, lr: 2.20e-05, epoch: 1.02e+00, step: 6.00e+01
-2024-04-16 22:43:15 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.73s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.67s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.90s/it]
-2024-04-16 22:43:23 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.9935, forcesx_mae: 0.0100, forcesy_mae: 0.0119, forcesz_mae: 0.0090, forces_mae: 0.0103, forces_cosine_similarity: 0.0350, forces_magnitude_error: 0.0153, loss: 1.0154, epoch: 1.0169
-2024-04-16 22:43:28 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.73s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.65s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.90s/it]
-2024-04-16 22:43:36 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.0196, forcesx_mae: 0.0101, forcesy_mae: 0.0120, forcesz_mae: 0.0091, forces_mae: 0.0104, forces_cosine_similarity: 0.0319, forces_magnitude_error: 0.0154, loss: 1.0444, epoch: 1.0339
-2024-04-16 22:43:40 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.74s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.60s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.87s/it]
-2024-04-16 22:43:48 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.0110, forcesx_mae: 0.0101, forcesy_mae: 0.0120, forcesz_mae: 0.0092, forces_mae: 0.0104, forces_cosine_similarity: 0.0002, forces_magnitude_error: 0.0155, loss: 1.0372, epoch: 1.0508
-2024-04-16 22:43:51 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.89s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.71s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.99s/it]
-2024-04-16 22:43:59 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.9786, forcesx_mae: 0.0102, forcesy_mae: 0.0120, forcesz_mae: 0.0092, forces_mae: 0.0105, forces_cosine_similarity: 0.0192, forces_magnitude_error: 0.0155, loss: 1.0060, epoch: 1.0678
-2024-04-16 22:44:02 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.84s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.61s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.90s/it]
-2024-04-16 22:44:10 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.9281, forcesx_mae: 0.0101, forcesy_mae: 0.0120, forcesz_mae: 0.0093, forces_mae: 0.0105, forces_cosine_similarity: 0.0091, forces_magnitude_error: 0.0154, loss: 0.9561, epoch: 1.0847
-2024-04-16 22:44:15 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.76s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.91s/it]
-2024-04-16 22:44:23 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.8908, forcesx_mae: 0.0101, forcesy_mae: 0.0120, forcesz_mae: 0.0093, forces_mae: 0.0105, forces_cosine_similarity: -0.0245, forces_magnitude_error: 0.0154, loss: 0.9179, epoch: 1.1017
-2024-04-16 22:44:26 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.91s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.69s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  4.00s/it]
-2024-04-16 22:44:34 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.8596, forcesx_mae: 0.0100, forcesy_mae: 0.0120, forcesz_mae: 0.0093, forces_mae: 0.0104, forces_cosine_similarity: -0.0307, forces_magnitude_error: 0.0154, loss: 0.8855, epoch: 1.1186
-2024-04-16 22:44:38 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.97s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.72s/it]
device 0: 100%|██████████| 2/2 [00:08<00:00,  4.03s/it]
-2024-04-16 22:44:46 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.8578, forcesx_mae: 0.0099, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0104, forces_cosine_similarity: -0.0113, forces_magnitude_error: 0.0153, loss: 0.8810, epoch: 1.1356
-2024-04-16 22:44:50 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.76s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.91s/it]
-2024-04-16 22:44:58 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.8903, forcesx_mae: 0.0098, forcesy_mae: 0.0119, forcesz_mae: 0.0092, forces_mae: 0.0103, forces_cosine_similarity: -0.0105, forces_magnitude_error: 0.0153, loss: 0.9087, epoch: 1.1525
-2024-04-16 22:45:02 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.88s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.63s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.92s/it]
-2024-04-16 22:45:10 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.9086, forcesx_mae: 0.0098, forcesy_mae: 0.0119, forcesz_mae: 0.0092, forces_mae: 0.0103, forces_cosine_similarity: -0.0169, forces_magnitude_error: 0.0152, loss: 0.9241, epoch: 1.1695
-2024-04-16 22:45:13 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.27e+00, forcesx_mae: 8.60e-03, forcesy_mae: 1.08e-02, forcesz_mae: 9.69e-03, forces_mae: 9.69e-03, forces_cosine_similarity: 1.81e-01, forces_magnitude_error: 1.36e-02, loss: 1.29e+00, lr: 1.13e-05, epoch: 1.19e+00, step: 7.00e+01
-2024-04-16 22:45:15 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.45s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.49s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.75s/it]
-2024-04-16 22:45:22 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.9151, forcesx_mae: 0.0098, forcesy_mae: 0.0118, forcesz_mae: 0.0091, forces_mae: 0.0102, forces_cosine_similarity: -0.0233, forces_magnitude_error: 0.0151, loss: 0.9297, epoch: 1.1864
-2024-04-16 22:45:27 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.61s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.63s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.88s/it]
-2024-04-16 22:45:34 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.9110, forcesx_mae: 0.0097, forcesy_mae: 0.0118, forcesz_mae: 0.0091, forces_mae: 0.0102, forces_cosine_similarity: -0.0300, forces_magnitude_error: 0.0151, loss: 0.9254, epoch: 1.2034
-2024-04-16 22:45:40 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.61s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.89s/it]
-2024-04-16 22:45:47 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.8976, forcesx_mae: 0.0097, forcesy_mae: 0.0118, forcesz_mae: 0.0091, forces_mae: 0.0102, forces_cosine_similarity: -0.0334, forces_magnitude_error: 0.0150, loss: 0.9127, epoch: 1.2203
-2024-04-16 22:45:52 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.48s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.54s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.78s/it]
-2024-04-16 22:46:00 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.8640, forcesx_mae: 0.0097, forcesy_mae: 0.0118, forcesz_mae: 0.0091, forces_mae: 0.0102, forces_cosine_similarity: -0.0337, forces_magnitude_error: 0.0149, loss: 0.8801, epoch: 1.2373
-2024-04-16 22:46:03 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.66s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.91s/it]
-2024-04-16 22:46:11 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.8262, forcesx_mae: 0.0097, forcesy_mae: 0.0117, forcesz_mae: 0.0091, forces_mae: 0.0102, forces_cosine_similarity: -0.0344, forces_magnitude_error: 0.0149, loss: 0.8431, epoch: 1.2542
-2024-04-16 22:46:14 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.60s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.54s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.80s/it]
-2024-04-16 22:46:22 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.7841, forcesx_mae: 0.0097, forcesy_mae: 0.0118, forcesz_mae: 0.0091, forces_mae: 0.0102, forces_cosine_similarity: -0.0365, forces_magnitude_error: 0.0149, loss: 0.8027, epoch: 1.2712
-2024-04-16 22:46:25 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.55s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.54s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.80s/it]
-2024-04-16 22:46:33 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.7678, forcesx_mae: 0.0097, forcesy_mae: 0.0118, forcesz_mae: 0.0092, forces_mae: 0.0102, forces_cosine_similarity: -0.0371, forces_magnitude_error: 0.0149, loss: 0.7870, epoch: 1.2881
-2024-04-16 22:46:36 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.63s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.54s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.81s/it]
-2024-04-16 22:46:44 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.7646, forcesx_mae: 0.0097, forcesy_mae: 0.0118, forcesz_mae: 0.0092, forces_mae: 0.0102, forces_cosine_similarity: -0.0404, forces_magnitude_error: 0.0150, loss: 0.7845, epoch: 1.3051
-2024-04-16 22:46:49 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.47s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.51s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.75s/it]
-2024-04-16 22:46:56 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7637, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0415, forces_magnitude_error: 0.0150, loss: 0.7842, epoch: 1.3220
-2024-04-16 22:47:01 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.44s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.54s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.77s/it]
-2024-04-16 22:47:08 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.7637, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0419, forces_magnitude_error: 0.0150, loss: 0.7844, epoch: 1.3390
-2024-04-16 22:47:11 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 8.46e-01, forcesx_mae: 8.04e-03, forcesy_mae: 9.40e-03, forcesz_mae: 9.53e-03, forces_mae: 8.99e-03, forces_cosine_similarity: 2.23e-01, forces_magnitude_error: 1.20e-02, loss: 8.63e-01, lr: 7.21e-06, epoch: 1.36e+00, step: 8.00e+01
-2024-04-16 22:47:12 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.62s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.60s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.87s/it]
-2024-04-16 22:47:20 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.7619, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0414, forces_magnitude_error: 0.0149, loss: 0.7824, epoch: 1.3559
-2024-04-16 22:47:25 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.39s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.50s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.72s/it]
-2024-04-16 22:47:33 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.7587, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0398, forces_magnitude_error: 0.0149, loss: 0.7788, epoch: 1.3729
-2024-04-16 22:47:38 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.48s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.48s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.73s/it]
-2024-04-16 22:47:45 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7540, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0383, forces_magnitude_error: 0.0149, loss: 0.7738, epoch: 1.3898
-2024-04-16 22:47:50 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.58s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.88s/it]
-2024-04-16 22:47:58 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7470, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0392, forces_magnitude_error: 0.0149, loss: 0.7663, epoch: 1.4068
-2024-04-16 22:48:02 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.59s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.56s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.82s/it]
-2024-04-16 22:48:10 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7431, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0398, forces_magnitude_error: 0.0149, loss: 0.7621, epoch: 1.4237
-2024-04-16 22:48:13 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.65s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.56s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.82s/it]
-2024-04-16 22:48:21 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7380, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0480, forces_magnitude_error: 0.0149, loss: 0.7568, epoch: 1.4407
-2024-04-16 22:48:26 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:03<00:03,  3.71s/it]
device 0: 100%|██████████| 2/2 [00:06<00:00,  3.07s/it]
device 0: 100%|██████████| 2/2 [00:06<00:00,  3.18s/it]
-2024-04-16 22:48:33 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7314, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0522, forces_magnitude_error: 0.0149, loss: 0.7499, epoch: 1.4576
-2024-04-16 22:48:36 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.52s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.47s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.71s/it]
-2024-04-16 22:48:44 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7272, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0566, forces_magnitude_error: 0.0148, loss: 0.7455, epoch: 1.4746
-2024-04-16 22:48:48 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.44s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.52s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.74s/it]
-2024-04-16 22:48:56 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7224, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0604, forces_magnitude_error: 0.0148, loss: 0.7406, epoch: 1.4915
-2024-04-16 22:49:00 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.66s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.71s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.96s/it]
-2024-04-16 22:49:08 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7195, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0641, forces_magnitude_error: 0.0148, loss: 0.7375, epoch: 1.5085
-2024-04-16 22:49:10 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 9.79e-01, forcesx_mae: 9.62e-03, forcesy_mae: 8.13e-03, forcesz_mae: 9.44e-03, forces_mae: 9.06e-03, forces_cosine_similarity: 1.10e-01, forces_magnitude_error: 1.15e-02, loss: 9.97e-01, lr: 3.69e-06, epoch: 1.53e+00, step: 9.00e+01
-2024-04-16 22:49:11 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.46s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.47s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.72s/it]
-2024-04-16 22:49:19 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.7188, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0664, forces_magnitude_error: 0.0148, loss: 0.7367, epoch: 1.5254
-2024-04-16 22:49:22 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.63s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.65s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.91s/it]
-2024-04-16 22:49:30 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.7163, forcesx_mae: 0.0097, forcesy_mae: 0.0119, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0685, forces_magnitude_error: 0.0147, loss: 0.7340, epoch: 1.5424
-2024-04-16 22:49:35 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.56s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.56s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.80s/it]
-2024-04-16 22:49:43 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7132, forcesx_mae: 0.0096, forcesy_mae: 0.0118, forcesz_mae: 0.0093, forces_mae: 0.0103, forces_cosine_similarity: -0.0703, forces_magnitude_error: 0.0147, loss: 0.7309, epoch: 1.5593
-2024-04-16 22:49:46 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.71s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.90s/it]
-2024-04-16 22:49:53 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7127, forcesx_mae: 0.0096, forcesy_mae: 0.0118, forcesz_mae: 0.0093, forces_mae: 0.0102, forces_cosine_similarity: -0.0711, forces_magnitude_error: 0.0147, loss: 0.7305, epoch: 1.5763
-2024-04-16 22:49:57 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.55s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.82s/it]
-2024-04-16 22:50:05 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7102, forcesx_mae: 0.0096, forcesy_mae: 0.0118, forcesz_mae: 0.0092, forces_mae: 0.0102, forces_cosine_similarity: -0.0717, forces_magnitude_error: 0.0147, loss: 0.7279, epoch: 1.5932
-2024-04-16 22:50:10 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.28s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.49s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.70s/it]
-2024-04-16 22:50:18 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7072, forcesx_mae: 0.0096, forcesy_mae: 0.0118, forcesz_mae: 0.0092, forces_mae: 0.0102, forces_cosine_similarity: -0.0723, forces_magnitude_error: 0.0147, loss: 0.7248, epoch: 1.6102
-2024-04-16 22:50:23 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.75s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.78s/it]
device 0: 100%|██████████| 2/2 [00:08<00:00,  4.03s/it]
-2024-04-16 22:50:31 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7082, forcesx_mae: 0.0096, forcesy_mae: 0.0118, forcesz_mae: 0.0092, forces_mae: 0.0102, forces_cosine_similarity: -0.0710, forces_magnitude_error: 0.0147, loss: 0.7257, epoch: 1.6271
-2024-04-16 22:50:35 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  5.00s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.78s/it]
device 0: 100%|██████████| 2/2 [00:08<00:00,  4.08s/it]
-2024-04-16 22:50:44 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7080, forcesx_mae: 0.0096, forcesy_mae: 0.0118, forcesz_mae: 0.0092, forces_mae: 0.0102, forces_cosine_similarity: -0.0689, forces_magnitude_error: 0.0147, loss: 0.7255, epoch: 1.6441
-2024-04-16 22:50:49 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.55s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.67s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.91s/it]
-2024-04-16 22:50:57 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7074, forcesx_mae: 0.0095, forcesy_mae: 0.0117, forcesz_mae: 0.0091, forces_mae: 0.0101, forces_cosine_similarity: -0.0665, forces_magnitude_error: 0.0148, loss: 0.7250, epoch: 1.6610
-2024-04-16 22:51:01 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.73s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.71s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.98s/it]
-2024-04-16 22:51:09 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.7025, forcesx_mae: 0.0095, forcesy_mae: 0.0117, forcesz_mae: 0.0091, forces_mae: 0.0101, forces_cosine_similarity: -0.0633, forces_magnitude_error: 0.0148, loss: 0.7201, epoch: 1.6780
-2024-04-16 22:51:12 (INFO): energy_forces_within_threshold: 5.00e-02, energy_mae: 9.71e-01, forcesx_mae: 1.03e-02, forcesy_mae: 9.34e-03, forcesz_mae: 8.24e-03, forces_mae: 9.28e-03, forces_cosine_similarity: 3.25e-02, forces_magnitude_error: 1.05e-02, loss: 9.88e-01, lr: 2.36e-06, epoch: 1.69e+00, step: 1.00e+02
-2024-04-16 22:51:14 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.73s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.65s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.92s/it]
-2024-04-16 22:51:22 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6973, forcesx_mae: 0.0095, forcesy_mae: 0.0117, forcesz_mae: 0.0091, forces_mae: 0.0101, forces_cosine_similarity: -0.0594, forces_magnitude_error: 0.0148, loss: 0.7151, epoch: 1.6949
-2024-04-16 22:51:25 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.97s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.80s/it]
device 0: 100%|██████████| 2/2 [00:08<00:00,  4.09s/it]
-2024-04-16 22:51:33 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6940, forcesx_mae: 0.0095, forcesy_mae: 0.0117, forcesz_mae: 0.0091, forces_mae: 0.0101, forces_cosine_similarity: -0.0551, forces_magnitude_error: 0.0148, loss: 0.7118, epoch: 1.7119
-2024-04-16 22:51:37 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.82s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.72s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  4.00s/it]
-2024-04-16 22:51:45 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6927, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0090, forces_mae: 0.0101, forces_cosine_similarity: -0.0517, forces_magnitude_error: 0.0148, loss: 0.7106, epoch: 1.7288
-2024-04-16 22:51:48 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.82s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.68s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.96s/it]
-2024-04-16 22:51:56 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6899, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0090, forces_mae: 0.0101, forces_cosine_similarity: -0.0538, forces_magnitude_error: 0.0148, loss: 0.7078, epoch: 1.7458
-2024-04-16 22:52:01 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.71s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.60s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.87s/it]
-2024-04-16 22:52:09 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6892, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0090, forces_mae: 0.0100, forces_cosine_similarity: -0.0532, forces_magnitude_error: 0.0148, loss: 0.7073, epoch: 1.7627
-2024-04-16 22:52:12 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  5.00s/it]
device 0: 100%|██████████| 2/2 [00:08<00:00,  3.85s/it]
device 0: 100%|██████████| 2/2 [00:08<00:00,  4.16s/it]
-2024-04-16 22:52:21 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6869, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0090, forces_mae: 0.0100, forces_cosine_similarity: -0.0549, forces_magnitude_error: 0.0148, loss: 0.7049, epoch: 1.7797
-2024-04-16 22:52:26 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.81s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.67s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.97s/it]
-2024-04-16 22:52:34 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6838, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0090, forces_mae: 0.0100, forces_cosine_similarity: -0.0566, forces_magnitude_error: 0.0149, loss: 0.7019, epoch: 1.7966
-2024-04-16 22:52:39 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.67s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.65s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.91s/it]
-2024-04-16 22:52:47 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6794, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0090, forces_mae: 0.0100, forces_cosine_similarity: -0.0577, forces_magnitude_error: 0.0149, loss: 0.6976, epoch: 1.8136
-2024-04-16 22:52:51 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.68s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.72s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.98s/it]
-2024-04-16 22:52:59 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.6741, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0595, forces_magnitude_error: 0.0149, loss: 0.6924, epoch: 1.8305
-2024-04-16 22:53:03 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.69s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.96s/it]
-2024-04-16 22:53:11 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6719, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0606, forces_magnitude_error: 0.0149, loss: 0.6903, epoch: 1.8475
-2024-04-16 22:53:13 (INFO): energy_forces_within_threshold: 2.50e-02, energy_mae: 9.48e-01, forcesx_mae: 1.15e-02, forcesy_mae: 8.22e-03, forcesz_mae: 9.66e-03, forces_mae: 9.79e-03, forces_cosine_similarity: 4.84e-02, forces_magnitude_error: 1.39e-02, loss: 9.65e-01, lr: 1.21e-06, epoch: 1.86e+00, step: 1.10e+02
-2024-04-16 22:53:14 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.65s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.63s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.91s/it]
-2024-04-16 22:53:22 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6706, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0611, forces_magnitude_error: 0.0149, loss: 0.6890, epoch: 1.8644
-2024-04-16 22:53:27 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.71s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.66s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.94s/it]
-2024-04-16 22:53:35 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6693, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0628, forces_magnitude_error: 0.0149, loss: 0.6876, epoch: 1.8814
-2024-04-16 22:53:39 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.82s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.66s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.95s/it]
-2024-04-16 22:53:47 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6679, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0643, forces_magnitude_error: 0.0149, loss: 0.6863, epoch: 1.8983
-2024-04-16 22:53:50 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.94s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.63s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.94s/it]
-2024-04-16 22:53:59 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6667, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0655, forces_magnitude_error: 0.0149, loss: 0.6852, epoch: 1.9153
-2024-04-16 22:54:03 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.69s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.61s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.88s/it]
-2024-04-16 22:54:11 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6659, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0663, forces_magnitude_error: 0.0149, loss: 0.6845, epoch: 1.9322
-2024-04-16 22:54:16 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.79s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.73s/it]
device 0: 100%|██████████| 2/2 [00:08<00:00,  4.02s/it]
-2024-04-16 22:54:24 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.6655, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0670, forces_magnitude_error: 0.0149, loss: 0.6842, epoch: 1.9492
-2024-04-16 22:54:28 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.78s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.68s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.97s/it]
-2024-04-16 22:54:36 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.6649, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0677, forces_magnitude_error: 0.0149, loss: 0.6836, epoch: 1.9661
-2024-04-16 22:54:39 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.90s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.68s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.98s/it]
-2024-04-16 22:54:47 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.6641, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0684, forces_magnitude_error: 0.0149, loss: 0.6829, epoch: 1.9831
-2024-04-16 22:54:53 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.87s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.67s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.96s/it]
-2024-04-16 22:55:01 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.6634, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0688, forces_magnitude_error: 0.0149, loss: 0.6822, epoch: 2.0000
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-2024-04-16 22:55:09 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.68s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.66s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.91s/it]
-2024-04-16 22:55:17 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6625, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0694, forces_magnitude_error: 0.0149, loss: 0.6813, epoch: 2.0169
-2024-04-16 22:55:20 (INFO): energy_forces_within_threshold: 2.50e-02, energy_mae: 7.94e-01, forcesx_mae: 8.10e-03, forcesy_mae: 9.97e-03, forcesz_mae: 8.51e-03, forces_mae: 8.86e-03, forces_cosine_similarity: 3.44e-01, forces_magnitude_error: 1.40e-02, loss: 8.12e-01, lr: 7.74e-07, epoch: 2.03e+00, step: 1.20e+02
-2024-04-16 22:55:21 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.69s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.61s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.88s/it]
-2024-04-16 22:55:29 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6614, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0697, forces_magnitude_error: 0.0149, loss: 0.6803, epoch: 2.0339
-2024-04-16 22:55:34 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.83s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.94s/it]
-2024-04-16 22:55:42 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6609, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0700, forces_magnitude_error: 0.0149, loss: 0.6796, epoch: 2.0508
-2024-04-16 22:55:46 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.80s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.70s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.99s/it]
-2024-04-16 22:55:54 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6601, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0702, forces_magnitude_error: 0.0149, loss: 0.6788, epoch: 2.0678
-2024-04-16 22:55:58 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.70s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.68s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.97s/it]
-2024-04-16 22:56:07 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6595, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0703, forces_magnitude_error: 0.0149, loss: 0.6781, epoch: 2.0847
-2024-04-16 22:56:10 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.84s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.77s/it]
device 0: 100%|██████████| 2/2 [00:08<00:00,  4.04s/it]
-2024-04-16 22:56:19 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6590, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0702, forces_magnitude_error: 0.0149, loss: 0.6776, epoch: 2.1017
-2024-04-16 22:56:22 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.87s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.70s/it]
device 0: 100%|██████████| 2/2 [00:08<00:00,  4.00s/it]
-2024-04-16 22:56:30 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6583, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0705, forces_magnitude_error: 0.0149, loss: 0.6767, epoch: 2.1186
-2024-04-16 22:56:34 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.69s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.90s/it]
-2024-04-16 22:56:42 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6577, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0706, forces_magnitude_error: 0.0149, loss: 0.6760, epoch: 2.1356
-2024-04-16 22:56:46 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.74s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.75s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.99s/it]
-2024-04-16 22:56:54 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6571, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0708, forces_magnitude_error: 0.0149, loss: 0.6753, epoch: 2.1525
-2024-04-16 22:56:58 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.41s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.54s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.76s/it]
-2024-04-16 22:57:06 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6565, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0710, forces_magnitude_error: 0.0149, loss: 0.6746, epoch: 2.1695
-2024-04-16 22:57:10 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.48s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.58s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.81s/it]
-2024-04-16 22:57:18 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.6562, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0711, forces_magnitude_error: 0.0148, loss: 0.6741, epoch: 2.1864
-2024-04-16 22:57:20 (INFO): energy_forces_within_threshold: 2.50e-02, energy_mae: 6.11e-01, forcesx_mae: 6.99e-03, forcesy_mae: 7.31e-03, forcesz_mae: 7.49e-03, forces_mae: 7.26e-03, forces_cosine_similarity: 2.71e-01, forces_magnitude_error: 9.75e-03, loss: 6.26e-01, lr: 3.96e-07, epoch: 2.20e+00, step: 1.30e+02
-2024-04-16 22:57:22 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.33s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.50s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.71s/it]
-2024-04-16 22:57:30 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.6559, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0711, forces_magnitude_error: 0.0148, loss: 0.6737, epoch: 2.2034
-2024-04-16 22:57:33 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.70s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.70s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.97s/it]
-2024-04-16 22:57:41 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.6558, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0711, forces_magnitude_error: 0.0148, loss: 0.6736, epoch: 2.2203
-2024-04-16 22:57:45 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.50s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.56s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.79s/it]
-2024-04-16 22:57:53 (INFO): energy_forces_within_threshold: 0.0333, energy_mae: 0.6559, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0711, forces_magnitude_error: 0.0149, loss: 0.6736, epoch: 2.2373
-2024-04-16 22:57:56 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.62s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.65s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.91s/it]
-2024-04-16 22:58:04 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6560, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0711, forces_magnitude_error: 0.0149, loss: 0.6736, epoch: 2.2542
-2024-04-16 22:58:09 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.26s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.47s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.68s/it]
-2024-04-16 22:58:16 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6559, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0711, forces_magnitude_error: 0.0149, loss: 0.6735, epoch: 2.2712
-2024-04-16 22:58:20 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.52s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.59s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.83s/it]
-2024-04-16 22:58:27 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6557, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0088, forces_mae: 0.0100, forces_cosine_similarity: -0.0711, forces_magnitude_error: 0.0149, loss: 0.6733, epoch: 2.2881
-2024-04-16 22:58:32 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.40s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.49s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.73s/it]
-2024-04-16 22:58:40 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6553, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0088, forces_mae: 0.0100, forces_cosine_similarity: -0.0712, forces_magnitude_error: 0.0149, loss: 0.6729, epoch: 2.3051
-2024-04-16 22:58:44 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.53s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.87s/it]
-2024-04-16 22:58:52 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6549, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0088, forces_mae: 0.0100, forces_cosine_similarity: -0.0713, forces_magnitude_error: 0.0149, loss: 0.6724, epoch: 2.3220
-2024-04-16 22:58:55 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.53s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.61s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.84s/it]
-2024-04-16 22:59:03 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6547, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0713, forces_magnitude_error: 0.0149, loss: 0.6722, epoch: 2.3390
-2024-04-16 22:59:08 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.37s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.44s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.68s/it]
-2024-04-16 22:59:15 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6545, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0713, forces_magnitude_error: 0.0149, loss: 0.6720, epoch: 2.3559
-2024-04-16 22:59:19 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 7.71e-01, forcesx_mae: 7.08e-03, forcesy_mae: 7.15e-03, forcesz_mae: 8.61e-03, forces_mae: 7.61e-03, forces_cosine_similarity: 1.02e-01, forces_magnitude_error: 1.05e-02, loss: 7.86e-01, lr: 2.54e-07, epoch: 2.37e+00, step: 1.40e+02
-2024-04-16 22:59:20 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.49s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.58s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.82s/it]
-2024-04-16 22:59:28 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6543, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0714, forces_magnitude_error: 0.0149, loss: 0.6718, epoch: 2.3729
-2024-04-16 22:59:32 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.52s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.58s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.82s/it]
-2024-04-16 22:59:40 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6539, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0714, forces_magnitude_error: 0.0149, loss: 0.6714, epoch: 2.3898
-2024-04-16 22:59:44 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.25s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.46s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.67s/it]
-2024-04-16 22:59:52 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6535, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0715, forces_magnitude_error: 0.0149, loss: 0.6710, epoch: 2.4068
-2024-04-16 22:59:57 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.43s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.51s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.74s/it]
-2024-04-16 23:00:05 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6532, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0715, forces_magnitude_error: 0.0149, loss: 0.6707, epoch: 2.4237
-2024-04-16 23:00:08 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.36s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.53s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.74s/it]
-2024-04-16 23:00:16 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6532, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0713, forces_magnitude_error: 0.0149, loss: 0.6707, epoch: 2.4407
-2024-04-16 23:00:20 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.45s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.58s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.82s/it]
-2024-04-16 23:00:28 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6530, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0712, forces_magnitude_error: 0.0149, loss: 0.6706, epoch: 2.4576
-2024-04-16 23:00:32 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.52s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.61s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.86s/it]
-2024-04-16 23:00:39 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6528, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0711, forces_magnitude_error: 0.0149, loss: 0.6703, epoch: 2.4746
-2024-04-16 23:00:43 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.64s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.65s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.90s/it]
-2024-04-16 23:00:51 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6526, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0710, forces_magnitude_error: 0.0149, loss: 0.6701, epoch: 2.4915
-2024-04-16 23:00:55 (INFO): Evaluating on val.
-
device 0:   0%|          | 0/2 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.54s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.57s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.82s/it]
-2024-04-16 23:01:03 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 0.6522, forcesx_mae: 0.0095, forcesy_mae: 0.0116, forcesz_mae: 0.0089, forces_mae: 0.0100, forces_cosine_similarity: -0.0710, forces_magnitude_error: 0.0149, loss: 0.6698, epoch: 2.5085
+
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.86s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.74s/it]
device 0: 100%|██████████| 2/2 [00:07<00:00,  3.95s/it]
+2024-04-17 16:30:09 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 8.7333, forcesx_mae: 0.0231, forcesy_mae: 0.0188, forcesz_mae: 0.0198, forces_mae: 0.0206, forces_cosine_similarity: -0.0317, forces_magnitude_error: 0.0290, loss: 8.6590, epoch: 0.1695
 Traceback (most recent call last):
   File "/home/runner/work/ocp/ocp/main.py", line 89, in <module>
     Runner()(config)
@@ -1239,67 +177,8 @@ Traceback (most recent call last):
     self.task.run()
   File "/home/runner/work/ocp/ocp/ocpmodels/tasks/task.py", line 51, in run
     self.trainer.train(
-  File "/home/runner/work/ocp/ocp/ocpmodels/trainers/ocp_trainer.py", line 151, in train
-    out = self._forward(batch)
-          ^^^^^^^^^^^^^^^^^^^^
-  File "/home/runner/work/ocp/ocp/ocpmodels/trainers/ocp_trainer.py", line 234, in _forward
-    out = self.model(batch.to(self.device))
-          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
-    return forward_call(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/home/runner/work/ocp/ocp/ocpmodels/common/utils.py", line 141, in cls_method
-    return f(self, *args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/home/runner/work/ocp/ocp/ocpmodels/models/gemnet_oc/gemnet_oc.py", line 1250, in forward
-    h, m = self.int_blocks[i](
-           ^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
-    return forward_call(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/home/runner/work/ocp/ocp/ocpmodels/models/gemnet_oc/layers/interaction_block.py", line 328, in forward
-    x = layer(x)  # (nEdges, emb_size_edge)
-        ^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
-    return forward_call(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/home/runner/work/ocp/ocp/ocpmodels/models/gemnet_oc/layers/base_layers.py", line 104, in forward
-    x = self.dense_mlp(input)
-        ^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
-    return forward_call(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/container.py", line 217, in forward
-    input = module(input)
-            ^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
-    return forward_call(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/home/runner/work/ocp/ocp/ocpmodels/models/gemnet_oc/layers/base_layers.py", line 61, in forward
-    x = self.linear(x)
-        ^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
-    return forward_call(*args, **kwargs)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/linear.py", line 116, in forward
-    return F.linear(input, self.weight, self.bias)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-KeyboardInterrupt
+  File "/home/runner/work/ocp/ocp/ocpmodels/trainers/ocp_trainer.py", line 200, in train
+    self.update_best(
+  File "/home/runner/work/ocp/ocp/ocpmodels/trainers/base_trainer.py", line 667, in update_best
+    "mae" in primary_metric
+TypeError: argument of type 'NoneType' is not iterable
diff --git a/_downloads/819e10305ddd6839cd7da05935b17060/mass-inference.txt b/_downloads/819e10305ddd6839cd7da05935b17060/mass-inference.txt
index 8fdc32cee..32a183ca5 100644
--- a/_downloads/819e10305ddd6839cd7da05935b17060/mass-inference.txt
+++ b/_downloads/819e10305ddd6839cd7da05935b17060/mass-inference.txt
@@ -1,17 +1,17 @@
-2024-04-16 23:01:59 (INFO): Project root: /home/runner/work/ocp/ocp
+2024-04-17 16:33:33 (INFO): Project root: /home/runner/work/ocp/ocp
 /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
-2024-04-16 23:02:01 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
-2024-04-16 23:02:01 (INFO): amp: true
+2024-04-17 16:33:35 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+2024-04-17 16:33:35 (INFO): amp: true
 cmd:
-  checkpoint_dir: ./checkpoints/2024-04-16-23-02-24
-  commit: 46df531
+  checkpoint_dir: ./checkpoints/2024-04-17-16-34-08
+  commit: 3edcf80
   identifier: ''
-  logs_dir: ./logs/tensorboard/2024-04-16-23-02-24
+  logs_dir: ./logs/tensorboard/2024-04-17-16-34-08
   print_every: 10
-  results_dir: ./results/2024-04-16-23-02-24
+  results_dir: ./results/2024-04-17-16-34-08
   seed: 0
-  timestamp_id: 2024-04-16-23-02-24
+  timestamp_id: 2024-04-17-16-34-08
 dataset:
   a2g_args:
     r_energy: false
@@ -36,7 +36,6 @@ eval_metrics:
     - magnitude_error
     misc:
     - energy_forces_within_threshold
-  primary_metric: forces_mae
 gpus: 0
 logger: tensorboard
 loss_fns:
@@ -122,29 +121,29 @@ test_dataset:
 trainer: ocp
 val_dataset: null
 
-2024-04-16 23:02:01 (INFO): Loading dataset: ase_db
-2024-04-16 23:02:01 (INFO): rank: 0: Sampler created...
-2024-04-16 23:02:01 (INFO): Batch balancing is disabled for single GPU training.
-2024-04-16 23:02:01 (INFO): rank: 0: Sampler created...
-2024-04-16 23:02:01 (INFO): Batch balancing is disabled for single GPU training.
-2024-04-16 23:02:01 (INFO): Loading model: gemnet_t
-2024-04-16 23:02:03 (INFO): Loaded GemNetT with 31671825 parameters.
-2024-04-16 23:02:03 (WARNING): Model gradient logging to tensorboard not yet supported.
-2024-04-16 23:02:03 (INFO): Loading checkpoint from: /tmp/ocp_checkpoints/gndt_oc22_all_s2ef.pt
-2024-04-16 23:02:03 (INFO): Overwriting scaling factors with those loaded from checkpoint. If you're generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
-2024-04-16 23:02:03 (WARNING): Scale factor comment not found in model
-2024-04-16 23:02:03 (INFO): Predicting on test.
+2024-04-17 16:33:35 (INFO): Loading dataset: ase_db
+2024-04-17 16:33:35 (INFO): rank: 0: Sampler created...
+2024-04-17 16:33:35 (INFO): Batch balancing is disabled for single GPU training.
+2024-04-17 16:33:35 (INFO): rank: 0: Sampler created...
+2024-04-17 16:33:35 (INFO): Batch balancing is disabled for single GPU training.
+2024-04-17 16:33:35 (INFO): Loading model: gemnet_t
+2024-04-17 16:33:37 (INFO): Loaded GemNetT with 31671825 parameters.
+2024-04-17 16:33:37 (WARNING): Model gradient logging to tensorboard not yet supported.
+2024-04-17 16:33:37 (INFO): Loading checkpoint from: /tmp/ocp_checkpoints/gndt_oc22_all_s2ef.pt
+2024-04-17 16:33:37 (INFO): Overwriting scaling factors with those loaded from checkpoint. If you're generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. 
+2024-04-17 16:33:37 (WARNING): Scale factor comment not found in model
+2024-04-17 16:33:37 (INFO): Predicting on test.
 
device 0:   0%|                                           | 0/3 [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   storage = elem.storage()._new_shared(numel)
 /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   storage = elem.storage()._new_shared(numel)
 /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/amp/autocast_mode.py:250: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
   warnings.warn(
-
device 0:  33%|███████████▋                       | 1/3 [00:04<00:08,  4.11s/it]
device 0:  67%|███████████████████████▎           | 2/3 [00:08<00:04,  4.25s/it]
device 0: 100%|███████████████████████████████████| 3/3 [00:09<00:00,  2.93s/it]
device 0: 100%|███████████████████████████████████| 3/3 [00:09<00:00,  3.28s/it]
+
device 0:  33%|███████████▋                       | 1/3 [00:04<00:08,  4.34s/it]
device 0:  67%|███████████████████████▎           | 2/3 [00:07<00:03,  3.88s/it]
device 0: 100%|███████████████████████████████████| 3/3 [00:09<00:00,  3.01s/it]
device 0: 100%|███████████████████████████████████| 3/3 [00:09<00:00,  3.30s/it]
 /home/runner/work/ocp/ocp/ocpmodels/trainers/ocp_trainer.py:510: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
   predictions[key] = np.array(predictions[key])
 /home/runner/work/ocp/ocp/ocpmodels/trainers/base_trainer.py:840: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
   np.array(gather_results[k])[idx]
-2024-04-16 23:02:13 (INFO): Writing results to ./results/2024-04-16-23-02-24/ocp_predictions.npz
-2024-04-16 23:02:13 (INFO): Total time taken: 10.010130405426025
-Elapsed time = 16.4 seconds
+2024-04-17 16:33:47 (INFO): Writing results to ./results/2024-04-17-16-34-08/ocp_predictions.npz
+2024-04-17 16:33:47 (INFO): Total time taken: 10.054125785827637
+Elapsed time = 16.5 seconds
diff --git a/_images/1109562e7d207b01d4bbaec75065a7373c812846544444edb8782cf62a3bbac7.png b/_images/1109562e7d207b01d4bbaec75065a7373c812846544444edb8782cf62a3bbac7.png
new file mode 100644
index 0000000000000000000000000000000000000000..f7ebe133f206ac05b1a11d096af9a3e20f09974b
GIT binary patch
literal 24909
zcmb5W1yoki(>@9!pr9bqji4Y%BPFGPh@=97ba!`y5&{Auf^;b*N_TfjD=jVE-F4^q
z`~LU4vF>;8buHAzIq!b=nVCKF%ri45=!M*~n^<I6C@3g5pG%4>prBmgK|w(+x`qM2
z5v0>>f`9lOp1yWav^H{Z*0nQ4k=1puv9NZqFx8`RGPJWdwYK77<zs!wOk?8UU}OJ?
zjm`3Zzk$`-&X|q*9-SjBa@|H!)gA=}R~Pv~{U(xWih`n3`CR;ol1sw+gtG^M<3-!{
zu$7zWZG|k<>-QW!;{3jPRq*j+@5QWdDI+g>K736&7aS09f0}JmT0}EqLVHazPXX=A
z@QdGQrl;rU9CvR^(!8~xAFWOfYZD%cO^iLiK|bPKyPLQ<tQ*1+2!C8qGAGcH|3ng^
zljGsxZIfW}(9+WW<sh&S7Z-2VzdwRpY<rOp*YLu==+MDMDzOF$xG4C}Cls!^+(0J}
zzpYm5!9P*yNO%AKwScCEIBs*7m8?t~J_@I3WyTOP?)Sm0mF*jx9TSm^iY9-G8HI&~
zmGZPG-%QrH_g6VvkC}b{p6su56TbW2$B2j~?aLFD50nC}5Av!T;S=Aq>uPhjEyv5l
zGn3rjCki<KQG2HPTt=pOY%G2?uda5)^7rrG*REZg?s$;LTznBg?WHqa{}#45y}2nL
zK`-mF)qu(Gwzovuc62aieLOaGAz@*`{PykJ=9ZT2dNkaR2?-iQnavB`@ub{l1UJcf
z41T9QuRfe~H@u)Syu-y6fqbp&?!u_%`*wdWT06OT9!t(Qu@6lZzU=e!^Di82&z27C
z4XS99)}NiM=9N}^n}$;G{~pNGzRVuGLBZFj^h3GZz`%gu_@s^6+X7{`n|F#J+kN^i
z<_(=c#isgNE;Hy{roZoU8Fi7&E-o6c3}or^SWjv!k$})MUj0yB*lwfdg$Lnup7Jc)
z-rwhzjpyNxjg2MtNXm3uOmx1XQ))G#X5yKrRU-pG9eXuWbOHin34FF+b&j`YnlRYq
zg^$xLxq~7Jtp&tBOB#m9#9Vt}!+0mTtc-VZ^2At4St5j_A%v7GM%eSwu!em%X`c7N
zsIlL>cbq1DG$_KCXZBid%l9r0%Idb4Gn4<$&%erF|MoJqeDAmP@v8P^$M;u1u!J-7
z>Ml+~Iv=l(l^M^qhkKkXXO7!-vKTrEx15iU+@quOO-Z5g@bFk;ecJ4~CZ|kGIME(X
zck{(k_~qC^guJk++@<l=n5vD+PMO3<gT*Gl8jns+;y^9&$=(;oA^MvWRm0;B{j&6r
z9#!g8;R+v3Cvbc2{d#6R(9D>_ORziUe15Xu4NLa&^)&ipcY7XA7}L_x$?E8&kn&i>
zfW-*vUnYB<{B+oyoVbdC5ob2|J+|&_p3Mk8XKWGez2W8MmGLx~XkpB{j^$;rteacq
zbu27Sv3EE4XG_Eaa7fwM*to!ud>n0UZRweryVBCq2wbZ(lfC|+EbR7*h^(GwWMq)l
zk9%L98&BjuTp7;uZe5JHj7^x-i@4-p8!1Tb<M2A)AEs5Gzc{SBjCET7L+b7AjgN<?
z3kuLZ*qBf^i4UiH76*bVvK-^FKc0_{M|Sx|EP$vw>QWV1qCGiX(c6p1@{d7o<q8u%
z5s}f^*_q7g!FqSGX@AGG_4Bl~tgz5_{&BC<b-|ORRFrWLgiI`_e;bwiTJ|ZkM)^m9
z&FTpA+=_R^+8*Kf401MuuT%(Ec5RpX?o>J~Hzx4glL$C5=hYmLg_3dW?JfPPK3Vx;
zEacUjBvf&_QHAOPLXYJ%#8S+V`J!56wCMQ3`|@;3waSSF?Ch?7Ysk#$W}PwY)xQ+E
z%@^b5SG5we>a9j>!Hc6=3pmId6IH}3i(KYI%*ZoP;9%m@%jk^c>musSeqHc4!SO0O
zI)}s33!|Qdp9T7DSTzUp(b}J)quT=U=uk!~9UrKdTIeqIeev`20}YT{SL5ZMOeb_V
z_+p|4hJ*+jhu+&?`H{!zab$xs>AFanArosSF_p5r4JXNde^6z1e!j);I)3^7koqzB
zgyqSaQ_^!kJ9~Rlb{&*ozkZ!9id@co|B?G>*5&2Pm({yH0w_1Ag{!BH8S93?LG-0d
z6N3Vp;pDq6r$=AI!qS7ygVpZ)^gc`L8coa=XYxIpN~i<5iLM5l7a)grtkm+s>oTWx
zHMAJsNtaZeiKSnuvN>ucU7&ERb?<KO;h4U@KKp}1K6PqxsZqWDJZ+I#y9%tKDLD46
zot>R`85qd*L!L`Za}EAb;VqkVGygJ6Dd^G%$COBIs?<_l@rQDbk7p={(NMN32A^?o
zC`aqr(QFt7JLs6XxK=uvHA61(5j`7QFNuB^ENYCh3obKZ-{sDoI~kf)PR0{Pplsx;
zn%mlvi)w$jUmo*;2*2zvj_E}tCR%<?O_lA8V!_^DKbZ-jzM+%k@;AuG@t7rawk=E~
zHMd{Aw`Zs=!+NR~@ml^TbLASW{W<Eq{pGf^x6fDtBiTwu0?VJ&d7YbpxEkzMhjOl8
zzpe|Wi$bD*v=DDi!f9}=mE;2jzrq#?D1woZF<Y(V`}j)Ddg&O}MCoMeGu)k>osklA
zVw57|UV481So6G^(ib^eT3QYp<FVS_=Y((2FmdvYy2&IyP&_v=F=^Olty<%Z<F(fM
zs&;a?DX*kNknDM&+E7U;;FNFh^LB2{fm(vxYF$oo@k10JU*BH0>gj161x3YR&-0>Q
z;aOi?Ver#bDYmn%_rCvPeW098!@&^_=Lg^0`_gA0F>TZS3`EMtYv8|QcD?HK+dgnO
zZ)oJ!o|r*g!V*4AeHO;4Q;z~Zx}(<fwCD7Qb|XbAjMnM}_-d{pe}Dh*$jGbpGfe@{
z<>VG>4ksTR5KW(b$UKgIzT^My-R)bqria{`8XHltRv^SaK=C};W3;<GlYVmi<lDD5
zw}^>VzUD8iuXj&f9Pmzhomw8Ok3CC#<cK9IcVT${h^uc7GvRMqdO98@rRJPDHW9N9
z==cT+`<uli_l<;-^t3dav!iVvLv3yC#-^s;3T@S&m#3k@!2+`-8M5((HZzT)tJO6%
zS?XmQu61B#W9+S4@VLA1LtG)Nr$_6!GQhuic#F{-!nc*p$^?HVXDiCIT?I<{#mOou
zznww&7(6=J8*l-HYL~yBQFE9LeB1s0fQ>D$eg9sLb4MiOK(^{`$a=>~Pd>!+B;F~H
zh+dJ)1Wam=kI26e0s7&4eJpoQ@pIJ6az|#@{*(j{3=Gh!2M^_Hb`q*+JOQgbhS)3Z
zfO9x*kDKhV^Sr?h355o0(SI>qnKyQs7)3<te28*)!!IjDj;4J<0x9j5WZY&BlWoMd
zn1FuB#h*UKqo9z{(xQTRAh22rCdOJk{`Dz#$`PAbzM6*Ires`VV)t7#%$^^UXPsu?
zCyaA=z55!^h>{d7M+?)NH-{_ijmdZ{+KrPvTMeT%Ti@Lz?=g94`aA8qY}~_{s?FNj
zl3}d}JD&#Teny~@2)e-0f)fB3;p5VhiPy<80|Zj#ua#78OJ79Mt}T>VXns4JO}L1i
zFYBA@ygZ#KH0&hJF$UkqzxjkN_*C_MXefGpTiarSNG2_z|H(+;NPTB#@Q>We_tv$?
z@Ag-RlebU6u&|R3SBLZZ=<3iJ0HN{icHYXS*?}NOs0Ju!Gtn8l{tYVHwd>bs0C^Du
zq-hya|DnwCr_{2OA=yJzN=m9>6@+0l+Zvkg){93ck?*!|mIN{e$33j+JV81pxZR9@
z_uf6*HcICNTdM~uxpV%+S}BH|QT`hkk6gBB&QA~9mK`|l7i7ME{VJuQxVzAe?MVbc
zfo+hVkU@km=_Gc3em>DQwh+Rs__Jrb8&#X1K7W3df3cYCZPcG3i#~fAsjQ<zW3$k!
z;NbAE#{JOfZ*$PocYhVV<(@KOfnOP!J6=p)9M<+uw_ofTcU#SQXg!$#XR*L+kZGYS
z*1mPUC)0ealm&bR5{V#mPcJS$OBVJF{P1BRO5JMagTTf#xct9`ovixne@eO%_;;(V
zjd4IKiO!QV@5rrEz(oQ!;s!e@a6h#2I@^B6S}}Kf(qmT^g<dA6KIMt;(qxSQm@ik`
z2g=z{-pLdI6KR>5(MLi6jogx47f9hqwcd-?P?#H+ppyvEIo_GCKKNsfghUYQEh3^;
zFo2`2CfuOFz-c%OtPg1>>ffS`)_Mxy3hmv(CT3+GU`v+>CDU*kHC)_xcDSQfZ1N<U
zRnuiI{28Cq8p+JejK_8h@!Y}!(Vw2Swg6%+m$&g&l|foHZno<s!*&qjwcOXaSu2-l
zLBzGYZkKP~pn!YqiPrXd4iNJiE^a2Mt=MAp69kxGh|~SwUp=s@*;m%n*XMUwx)n^!
zX0$n3ldV}*%6x$(-ti&l&>%?Zc6!akX>QfVqgj&7DKpCu?xk_C3qw6Uy^yf5uq@T0
zjODSiJlD;dLn)=<wC52r78cptJ3CAc>NZ+hNv=mT0oWMh<m@_cMj?z9l)1BM*H*Xh
z3Y{zOfKMNUvsw>9jtrnuf4;65m)XGmBE6RPqGO%_r85A5wD$J)g1W1l(e@H^LFX9k
z)^+Cxs$~FHHoM>)Dzm@QNR<ffLc<lbX|)_`jiJR%?evb^e~5XnW@3y)|Mu<MG7yzQ
zl9Q9OUZ%ct1$@)JHd+*XMp1jVBW(`?B^MD9!Kb3~8bUpJuP|V|4FD$|94)!F_7s=Z
zxtydVI}+282i@M@<^Y$-;fsmO1Dkiux)2uc@NJ5Ts6l%QISCX0e!>5kOu@zfJqr`G
zdLta&*>Z7ydL0Kxc=h8hq+bfQB>Ixl(y4$Qi66GbwxP$v;ljtq*LNm`t9DceYoqp0
zihjFm<o`^*W(|-HAkv5ilBz|Do0&0jaBw`8Gf^j_BDUCJ6Y=-+`<LP=aT5Ot6;BL+
z9sXaFz8PCj3#mpDF)J%pS65f3Xa(Klqoe8hdBcC-m##4HBkSbEgNZ{y!^PFVp}_Po
zpy>(3sVwE3xQTS+TVH?1;$e*rhJXv7dI~2Cz|bI#*HiXZo1-lR^GbtX8MK4c^0Nfo
zIyyQEumLRR+Kn5<RS8%uOiW15_bDPG6-htgo;5*_J7U}_gl0c)<ArxfPHp|4Ggc)#
z@D2;$*U(`{5r{AR`0*Bas-Hi9mJZQ_04E771lz%}HTs}qADtgg@!L$JJb(V2j{*m9
zlfJVlEI0pEYJzZn8SKJjD4Uc;z4WTiVo%}$(Op{Fq=wI!ZBF%H_H9hi3^JSQuRE!{
zN@Jq72;rdUEik_N7lk@cVZt*qJiH->Lmx>vL3IlanAFTJInJAtUCAQU`5PuHfZ!T-
zT8Oo8JccM01Mp-t@eL%?Ng=5p%NwxRkDt)na?Md)+LN<sm#>j-?G)to=qVlR*b6d*
zEy#Bj&)4t@bG>;y^~w7x2v7gw>{uqAClq1`mFM0|<s7xA05%a|ODf_e2%dite0|IC
zaI~M_)klsi%>eLCetku+t*x~ZgseYH$*yQx^6V#yeFxpS&aW|d%*PH~-+nc^&CTB*
zX+M^hmtRC+P~GJ@o9F2PdbTjP<LVGPji6vcef?t(PfxIVdX%iJEEF(rf^2-eaHdug
z$q8>Y>@JB11LbzXlMHLL-+t}%-ol@_(n$WM=r8Vw+Ptsqn=oSXWKx|m_h=<i(JP>K
zfN&K$nl3JUkX>!umxZ&En(ZJt?$D8*7NNT!F7<2dG(ZiNzVi6zt^V6z<9)Pkj)yeg
zefP+><)cWiqyXLM38+xrT|X;Ar@ss@PF-53)Veh~*Gm+0_Dqs;D?fZ;KUC}aLyM7H
z)YQ~bteR3aZu=;bQc|?S!b#vC2`l8ilH;lc-5)&*4wNKq7gR3apYOxqt0uMM44$l2
zll^8Zg)I|Gr2K9B;K5X-<yRfW=aAWl{z`quWi`$RR)a*6f;K9F)oK;M23N0MW!G=L
zu`-ksTvsRZ<;$1(*CohtusTRibd|4(jC4v_TCX|3T<aqDlzJfZ!T_G8;r@sc?Iq-f
z&*kNf+dtm9iix?4FchB@x*Qejf$xC$mS~*h`i>#V#fM7BZOO?R53h<;-~Y3sx(<$|
zAD#O9%`WvCubG}|ZneiQ7U@e}>XQ_$B>K*HhK$_YpZoe=C@3gEq-Wgw6NJw&QlO7{
zlk8#r)YMc4)&tCQ&7i=9Opv+ARnmYvLU^3F@0{nCY_tzWB)UcfPY$!~8QAcba9I~g
zO~jU^^&FgQl9?gSjGtVe=D{Eq18ERLQ-|r7`GNhGeNX<+P1v;L#I=c)64=*rR&5hq
zJL3_?NJ*%*emkuQGg9%gtCMMB+w;nu`&i$fioJNK6kK?5Bka70D=$o~Y2pdOG70*2
zI&x+w5Xrr-WRA2Y(cn)PsI}foMopjYUHXa^qRoAnkeU$jZ&{1jw(M~GV9Qth_p)OY
zaI9yj-45Q^t+*wl93~`3G9vU=7GFpKM(kM4Ri|^Sb5{rR<qvqbl*L~M`IvF{XsA4G
zb;^=Lc&}#RT)|b=FN(f0FC*A7B%-ok-Mjx?RIcm({4-=v9r8W4BW1UpSl&$p>-KWC
z%RQ(L?Z;dx_I1<Dc_zbf?M7LqR+huRg*-XK8j{kzOIz2pJ&iIo>ux=$p2LiNv_6ph
zwCA5NA`|B({MjB*PC6{`44R3a=f21zA6V6!xX8wHNDo0=bNjJvMfP-|`}R+1X=xhA
z&DgQ0JjX@c8Ct~Gsw92;g2s@WB!A8ssYZX=@$E{wXY;rCcqL)-#ShsT8pRd{!^oX<
z#BV+o2-kDm=*HzdRZil+k|%$w+2L%rP+<aRn%qFXhW7r*Ykm4i11((Vt?SIM>@Ad)
ziNLYU2D8=DfZ5<sKH7pzv9Cb?848cZNPQEoNEbxdcO35km+wGMjf7=DB~R__IDu2(
z0Psn#s;a8tJmFXkNdV9|m8&<Nrg1)>&^{{s{bj%2boVaiQ&m)Yk@f+Ln_4GK;qRMr
zL_#5ShLH1q0MHbkm?#U`p(~J36~Hk`7hh63k2f?2;k(X%Rw)P2I-zJFM}PLC)cu1e
zYuE<cpfwMIkET3!Zvyte4#0O2oT~xAT8pt#Bs=XdGM0Bc+~^*!ut!qPUtgah5NYkQ
zldTR|!rp4v-H{4=2Hpt=;9~FuA&1!D6Tr)A4|z+soq093<zw|~*LtJAd`0#EAuZW=
z?+_&utD8I!;xiyI>`D}f1{9^`x&I0Smr4el8Mpb6;A*X6rkvr=Pxl6LEftr(>2Pv#
zx&T*q1bI`%*-j^F%tO=L0IC<jwbC#$2Eoa!J^G97;gQ{t6$jMf5(&6x4**6$RQ-k=
z1Obn&q2z6llm_=NGauUD4!4VpM#CH;!r^QSBb;oV@r%pBIt;rme0n)ZOBg!l(+#`=
z!jw>ZY@tHhgfWfa<Mpzse{9!H9>}_9H@z<fxQu%Y`cj^3F#Y<AZ&H#l(!h}498Z7u
zE<(ftQr%hH5Egb=83+Q-(ROS43D93JZ<)RSogqtp1?|$KH&?UjQ&Lh-l8`&lv=_&T
zzJW?Iti)>?C{;wNWm=n>s1<G4*0bxljsi*5#RG$G8`OGWZida44G@Zb%FFra<&$Kp
zoYuE?cl80$1NQHSBw6p!zCvT%rs*bP4@4|#3A>(!g@x@MCq-Q9W@cu~SdM&xUsKf|
zzriTF9UkGt_BJ+5Ezwh+@RssXp+XMNbdIpoU)6CU3kdu63thUvHh?Fcb$Ar?;e%0Y
z2&tdHKVj7rHe2-@AV7f#aSoa^ZuGk@c)r(f_{zzD5Ud&EnrgAh%O|T+a&kDG(QJzV
zC=d!07%snrgakcxOC<H&o^8Vx?fZ03`kQhN89=LfCo0;%63+#6dld6^zn843-;BdK
z;c6G>LDh63!c|#G-hxle+VJ(9j8waFwUTU9uCfBDqMEOR3K^_E?DGaGryo!l1g>kJ
zAE@m7G0#INtJ(Xyi^b2VT>T;=BYoOH)>7_LpG9B1xCLCB?s&OvR}6=5C^@g)YEIdw
z*w~*yERh0%2O$|rSAb9R0sV6tb`X?Wj4IfKtgTr{gi&>aH5~()>$3Bc0q)K|84gr(
zVo=aMh}bg9jQG-ux^CrHm*?|f$`^<CiG!j)S=Mc-2|Xklu|xh|WQ9*o-U+Aa7>FPw
zhTd(iG&%*u!R3BnA$&ZC-x@~k-RcE&1HzZM?XM7K1FbX*RLV3E<%R&JjMsqc4oKD>
zjB&aE%VaB8ijIns2*9C?;kP$>f;|Fjlk!?oK#XpLlotF9(Mm*rnYA_<uayj-+MgXA
ze?dC)S(!<N%NF8uKJ)X9D?ix}`P&8ca?Ja%F$9eruMlPVNKslq${G0n{i8*v*w~>F
z_RKO2zC<|<R+aEm#K88D#JCa_4FmqqYtt{w`?*vpY!+MsWM4h-qcyh*!ZU&l(padq
zUtUD>9_vJqOSNTPeYW@GzY^yBUpe+J86J|Rj1{Cy*{f5>!-2RBc^uHtu786Vpe&&S
z)r5c4Z=xKWAw#e;pb`@T1Fr#Mz@lt}Bn|2%w~2`ta}}P7Gley&XFo1-j4GkHg;7KO
z7KhhYW!w4bdnH0EY@YD&a75F<<Aw-(p1=VW3npTT;jtvMgqq5T6<82twF&c*w6vnF
zFJpL7l|8P}_r^tJ^;`DYQ(S#FrkN<|KLZ)e&gq+kP>zM{JmSGT38~H5Fp<)#t9bm>
z6{`7bLNS-t?T?P7b;fA`cm`S+SX<H(exyITg_ji=@>X`LX^nx#G@vBc=mE(Vn@L~)
z<R5XSd?r$ho<XU*Cjz$%1}_HLcR9=lbl#Y8r}WPD9Xzse8&!{&L{~}ok-eyQgt7%$
z)*(e<Q4#9a&TsFpwDa_iB4<0y+2<7OLy?#h7dX-5*j|HcxpHX=-xL~vj0^^_903K3
z$2vMXL6}#vr8HQH18}M7+1YPdZ!+!E(dvb*-8eeG`Ff9R?zNa<--_AN;a$I>k}{rf
zsf-R!^LhE&SZb>@6S>R?utUb9pz?@L^wnBF?WDKG5fR(14)0L$Q>?b_SArzBziS|1
za^U-`V8GILc6Mv5nT<P;t|(#CZWOONn}6*%|B*AlvY#^5-=|lOF@j%#@``n2Zg*!#
z;Svvz(Ywv*weus(I4hP@46$C!lwFdo?Xof+Jlq$CzM+AV6_3KN)SZ(@$@x`V*zkRs
zkSyQh_~x`>Y9^j$fZ&C3MmAz)FN09B1lIvIV)rcWmxiH42SfCK-~PL5xN2c87)Pg`
zJ>O2>cgb(!5qt70usjIRkEE*fxB+^cpLX{A8=LaImnI@o_^;lV$NszYlkZBMFy;dh
zjM*!hxDK@wao;#oDklbml&&MSK4K<b?5JAox^ql$oQ~b^UYA)vdsqyzW0C-{Gv`5y
zMxLo!X3el!I5cRcFRSGG(%Ib{KkF;9qn@_f&&nck6Tvz2(`tQ(*G)Wcn%GF={evWt
z5*@-v^QPuZS5Y=m%IB!c=d8AF7J@8ZLM@RoJlnziQ^(ZQoAKG9N}gfS<hDD-A8Ja1
zBvApUg%{aY=&UaeiGN<k%yHbWR7G1GG&Kf0w8KEI{$10!#zpnkcQt!HKX|&(IAxTO
zOh-P=M*$Y*pZIlkRW7qz<aMXlouStc6Rk0=MPR?-Mab2k(McwuPmBJF+04Jje^pxd
zlZ>11{_l+y@wBVR<H)7ee;wBSDey5uH^+Pc_v8})Ydn~4VB~v{qmm|no9?K4{<I-q
zxJAy737iw5>jgFI*)rli2>w(Oa^=rIsbjxHmlV*+2@dhC4HN5cSRr9n2x1%wlpLI~
zYj|g!6T}o|SvKU~`grqMN;miPUSXLqUWE>*;qP(CTTA<FJYU=k-5l(Y;thutn}`jE
z+uJnA#Zd@w{PIm3Q#popx0Vi^mpC!beAaVh#XAz<t6egDS9LdvZizIh9qjn_ls!2-
zy~92Z=d#%no~pTsVhpG50{h~KjD32`Cpa%a3)ftZA)M(ks8>+z&y$!-+U%378Wls8
zL`^fly&oIUA@Z_AlI_o9+jn0dF)=3|EoP5}o~RaC4O^KT8`A2bfgZ9F3b}NatMZq)
z&F6I9R3>IO?6a;|ftK{hk*gYZMLC_aVC}zgRad{pi%l`4{Cs>fmqDQgk;nXWN719J
zy{E)?*NcZ<<>5vPW8_@O`>qCEOM&ktOyn418LJb-4kFKXeDbSr^^OVe?P|~U9C>jj
z0%Y-WC)Pp<?8%}5wF7Mbjl;)_0`<J@@Wg4Npyu%Ri}h+p^Q7ivi0LhP2x!=aVGRGr
z1j66Xnq28R&*Xl2?@j+$<@kU-h2H>Tm01Lcth^XcbuO?$k2*Uj0fTprem}b-IE2{8
zZNzF%4XAwm*_wVI(y(=^4I89zmuq!L!SSU1{0Y<$S(okbdWYxi0>dC(ZFR-52xIui
za0{|21x47@PDDKV17RQZ%eNs-LzQGX*^m3bB_rFy&VVQ0SnTk1)Nahfr!g!mVHF%A
z)5vT2JnisDJ^5dO9nY3pUuPG0C{ZqeSAEsT{7GKG%-_|9&bG-D@#a}118}!Uw!WEL
zW}RNLrcLQKj+<zOmW-k<jgQwmKXfp4bma05hf>PG;4V~pp!%5z#MFNFDOBdM0-9bf
zao9{hc8+4CH8h=)iV-BB*VYv}yzWPZ+bCq7gL*(<Cf*!6{zs3?WlINwZx;fgq1cXu
z@vZ5GyLa!tC^G8SJ0$0`p`ix$p`j31G=WZn@Io7dAKYqN8OuY3{g{u&ZwOKQnf*e<
z_3GXKD>#Khtg)x2IMc^sUv}#&*>O9I({7fzZzpH(tkG8ezz2rmf5wkR8v@pofDlu!
zV`HbvCkvnLCSL+S@U`8t2!W9uOt0l+Wm)=nZ-wh6NcvA{2eeo}k;^E_{W%YA?AtHo
z^rUszsUyLlE0!xjx9J^J215Fm?>>4IN6KXcM6L3g7r?YR$coaQ_+o$*ww6-E?4Vv-
z<g%?-U0vNX;`LvMa^ulWJbq0pp6sJrUha6DVPG6iKAlPLPA1mi2!9t0;Ao9B3IJTV
z+lbAU;1~}e0gsrtEnl~({pZga;1lR*Xx<!7c_%OTXBK%J+X0_F>gP08W}OM!LUspu
zIceMNB?}J#Pyhh8Zr@gjQv`d5#PKKNqA>PzfgDG?(42<-IGmwrH(I+VP~N(J^JWbs
zJ_?xeO#!&}P!akMpaVv1X{t^H*f4)AAf-8=bY%q9p?hAv-@e_yIPUefJ6$hJwjV1z
z3C0Uov`EG*O7=rD&z?8q&K7=1JatWrj9XNkRYTR&JNm>s4L$?dtEWQKD8sRP!u3z!
zSGi35=+0Mv567yU*`9?_vDjjV1x9{BTh-}N{J0fdvPNz(Q8=+L2a%%WAzt{`a!ZQ;
z1D-+(%>R`l0-4Be(wE}19>-(ZF_5K*DhYfE0AXg;LO&o2cOb1}hw3qucbcKHG5+d%
zU;?Wtv4=ak%$lh`8HB+~$_-VtnpVbvKuQ1kQl7c?c1ft-HRy*4NkB;e1pfuHP=r&1
zGB1HenPDdp@Fpl*J3D&7ZF&G?hGMK@m6IjZ6nh~h`%z#a-XXTY@p|hvvpeoiVU8n9
zo{#Wl{({qOysT-diMEWdiqz!cyC3Z-qN>rbwf&h_iEona`FY8UB|4Qx!I|*2^aKaw
zTfU>yojH^}W_p_A$gQUKHshuC#PVI*&mVk3C0`lbXztB_gt6FLNlB)!X=moh%{TEV
z6rdy$ah15;qX3-g9BvL3dOI%h<2;(YB7A|YZTAIy+xPc$>NC-qy8VYkg=HcRwP=-7
zn5cu6EVANh+3;zXN;qkouCKXA<I;Z5_>~Sn*?a~e8DK)-Kkh{S^Jk1;EjT7goX_VU
zFP)~*XA$6q0kiPe)UHT(z6}B&0=$3pqq4eVuvRt?{RTKA+aS@bSPqbi2>{;R_52}!
z-eUSJ3nzc838HW&Ab6VbEs}BVll%}+m0|*jz=_u<It*|?U?d&16?LplyFKW$h}UO1
zRra-V78|ar&x=E@jzI8A<CL1bX`c*k^9n}7WZ#U@((x@|kg6Wx{R1FM^iO3KM)mmi
zTq$VD{y-F$M2FC#KsrYekiOaIqjHguw)2(BX0-oBW(~5W5)x?%V;|rSc_HCa;Si#h
z`fHHC2qJ$wGT6@hc9OtkSG!LgvO|?0D~IlW&dI~bjLw;d4=W)b?w%xsUqas7c`^8<
z4XtmPM^=H6)(!``))H>Xz>t+-#o~VaB>L<*QxkIb(>_6CRe}16ZVYcj97e+&Dh`N1
zn%cjw(n*DZRv`=YGSV{dGpML@Fl+O7E>SM@RIDyDMFJaf>{;2M)ioOzY!7d?wTlV0
z+)*qHnKu|h7A(@@X@wAS80GmHbY?mMvDnPNk*Co(Apxyd@AbYEpA%j7RtVoI)JHwD
zVWXHZV&UDu^*+Y+8!Rhf#>12U3R<;_ZPOW=&0nY+vMV8D-*N>UcQYUMlmTBl-a_*F
zP$cH~z5!LiP)Xg-6$*+M6FnWk)<r=a6ac&-GLAduT@sZV*Z6TbMT^*d^)}wN4T!;z
zkqy(!8*QNurGg>*$$?v_uhrq3vOL7fTm(VFg@wla9^SZjt@5MD_xu|2M8(C_JK+Q&
zv>fX|5CKH>*B7WdG&B?#XV`x<QhOSJs+Vby0GO)Zy}H*g_R*_PZFu3)(xv>h_xTXk
z!<nRzt9LiwCbvF0>m9Ol$#xuNERD`F1f@B`j?!m3eADrDH$?6*pd|?Roog*^(;OW^
zrW7doITP$f;dJ<QqAzZCL6m-F{YRBMm9e2ug96*LU_(9k9#AgGzPV@ZYx`FFzQzGT
zF*&+iCh{!pjL2nrFZ#11l(e;iDD@j<8DiIRO|3Pd`fwMX^J^NVUo!Q(&?(i<FZ()u
z(tT-l$d1}a0UITB%=>(%Zb-<y^8lSftIzO;#>xF7j8WK8V1h4rf!bzS<;7_s>74mL
z#Ok{O0LuR@s|OFm-!@Zr2^hBiGg|FnO0P&tza?Ny<U}x{qmyU-Ded*8-Y7Df#Rxpb
zKAWGqr8YcNC@wyCc7H^2Fw&O5NC?ARq%6wUykVYAwCGOU)N=qniuvK+TSy*sb$Q(Q
zK#fMxw@tKk%6Am-2icDX4Xpa;1ARU2VdICX?D-`k*jdbn(x`j1w1&Wy3Tj)G4sslo
zd5dWgxnMrt4EVD88cG@eHYA3{1Gtu@RLvB}x-^RX;O!GOF&8vM+jxg?Dta9RuP+Fq
zKM*O6LZi#cx}|oW{0K8R(1pFMdzzS<y0`C(SWrj^gk3)<QSKsL1NL<YL)Aj4a*K>i
z3aAkX5eA1F6B|s5f}tGw7vwHQ{mEYz{*vpg*_oWH_><w`;VzcyAfN`?eqsfjS)pp3
z220$a5{v<2kElu>h`fm^=S=AD=!)kJgPO-SaCblrZ02&dMBH8Xk-x;!p1MIAbn6$1
z#Q9aRDZhFfz$SR%cGK*wF@?fQz`p_S@V9Kr3&JQB3etmd`*tJL6_<zew8Kv|ftxux
zI$}5Mh}`ws92ig%6%&KNd*|-mx#}>w&yrfK%&z2MU<oo?JN{I-j}K4l$9e&bLblSe
zayrJs!UI$#v@mkG?ic{M*xuc3_}>H??V)Xj2GW-D(Db(-up751DP@6lIfjC0&xsar
zvuPO_L~fFVh1U0ER&Ewimx;=rOHY4z+UH&^3i%}AT$B#bR54t}I6qYK==u0ap!TZe
zb!-Sh^2zJhuftF8($gcnA9TI-LV-G#+nfl1#3H~U11Ltd)DA;;)wP>9SzMZ%o6Bb-
z)4u-f@gohZKRutGrk>WO%ymJNxIlR+3u(T%xP`)Z>6gIKE<(=$-zpDuSJJYwegJS2
z4iqF3ksm)s*{r)1?$4ArhJra{=c^&-2b)v!(B)DN)$`-EqF$^aZO}b5jco&$M11T8
zPiSChNXVR-k#QRzKUMl=lEv`m)<ojR;wCk#eH9XR)bCG6)uZ7|l@(SJy!t*?L+vt+
z3KX{EkR?>Q5ql6h+d>0<ptsbVAB=S+3B@DSAHcNa0&M`&larH3#kudqs5`E}W~NbZ
z3Tn`}A|jf0-)<LjO-CE+EQ{Aawy`Y#>j;VZ#OELgKrg@R;1d!)RT`-9e$dm^b+vw(
z*(1Gk+2OBU#ryF#sLw&uD|C27iLTDh&Sq)Xd6{+)$QRq+k*UJ|<fPUKgxtmDz?mF4
zkwEp65r_3ZpY!wCq0#B*pAz$+urLGw0ny|Oc$Cm$xY$$?y1mr$1)(;DRI%x0<C=j*
zbAgii@x|$81@yE{yv$I-P+i`d_1)U0c`)EN;J;c|aMFK&0Ll)g<F_rKc`}wmA7goW
zd2hKNn7K#!HZ!8o!5{%D!YUmrG{lAuE%Z)A@e|Hd^T4>LLHkPe<;AH7d<)WLNogqc
zv}~5wC6k;v*?^^t8r_-ooy1dIVjAc%j<U5_OS82Qe5_2?<#k)xLx&}x^|hxd*+D@W
zD;}OLx%wmA;PQzBSN8SIk9Kxsp*XxvhP`jJ^AS%eIS;{{uqj9>=KN~*S-V=U7H+N!
zzMlI(l`1h|@#xk0Rj{91Nsj8XI9H>e2;BrqDMuPgij?T&1-(H8G5dVkC(ZD=skr>Y
zC-O*y3YU^@kXS3Q{4gjLQQ51u;UKW*DVp;TYU)o2EYds@C4ppaSc%{&58%#MGiCkF
zat@bf;L=%hug~V@+v4*#Xpg2)J*hFLXsRAS9RU~mr8k@ff10JM?q-!xP+^Nr`5>Sl
zwjl_3u3Y7;D<bD1CJLrQ1^&qyng`l?t_)oI2$$Nn@5XFj%RV1h`(Of|<(*sN`oE9G
z`GiK+bc;0L9zHpFQja>(+L#{pR{jlQUV#DNstY4rZ+Ll;TpT5rQ2Zi!S96mi@!$7-
zhc0bK@^~-UIOpw#89yuUfXT3LpOI?TXP;1wn2^-1U9tQNb8~*q9<%hUv4+V?@H0{h
z`Qf`|wvWzSL<}gvQ?piJx`kp=dm~TxFS1Ip&0afuh{NMy&hm`gSJ(PU;=#cXIR95k
zu+N@%o6~KWG`rXMs#8uqA&K8QD5~NFp9Nd_ve&fL@0-6ZV9sAzF&Le3(DE;6*fF7#
z^9$(fG$}n8FrX??Gj$V05o&w;AA}G{0KlY0TE3W70AbjMO-#GDm8x<Oa|k4WXwzeG
zBm1&-g~sEIgs<jHo3FBTsG2D}#TAfC<8K_*G8^lQ27pN&akE*<=7`4e7=dmoAVKr?
zFf93<Ac>I~=2)f(Znm=xakJu5;tdis>nYrnjZw+j^J<pa%5iZl|MZX+Nnr7vQ(tEy
zdMNT5g92Qb#BI8F_#F`_(>?U~?@aqB0IdM6N12!S>ux>{U2swcxgeJG{p(G|nN#;{
zWimGHB_XQH2{f$}+gs4cAUkF7s{3MatD9xI!~f5E_AlSm_)*QzP~D4tk)I`H_o1n*
zO#Ms7vd+;egIPMrG3;+~6$;}s`=obt>M3eB%m3a)qS`he7SF4e1K0dL%GKk(G8*>r
zAv<`O@h1%#OngZ<rY1~<Hf^{b)^`2p*H7WsN2U~M8@^kw0X9|rfQ4;=!I3Y!P(PaW
zp0;V+Is|fM<2|y5L_=#t`bJrX6pFdiM$CtUAt)^VHNxUa>L7{X8H(#GR8}_^m4+2?
zGj(ROqUvz3*S#qd(Kt?8@PhLNh`$w|aulnGsx0Zyo$Tx1wVY?5pM?7(E^*ZqM+ZFZ
zLO2CAU-~VbR3KMZu!1&?Zl7qKOQtPc|1Z|Qiqr*AJ*GSv+P!<K+;~Quv*_)5U37Is
zJq$#|ub970Fd92_HJTn*P2+mbMen~IcO?3RX2$H^rI^5KC;^}~Z8M@74!2jp?N`UV
z-WqPI_6F2uU1xm?`MyGa)*2LSi>tC1DXsk_&i`$%Sptja^MpLE=pWQTldI7}`p(?I
z+n3sz=OZ2$I*`RBB%n=16rjfO{;+m$Wmwb9{he*7tc@k6E6aI%++3|g4T$Eh%(qUN
zAOuq#>Bwm?0^$VfkDSmZs+_Cw9Na1N0<vS`QZYLvBgG##r0@s*C`fa(bClX~+L|x*
zCJ4>#+DdU*85JI0I95GOaBT2x{ZAOf!1D?8A4;gHk=23!56?3;Gz>?2>JsAOq-11n
zfbWLZAdRCSC2>~bGiN@?=1ayJmQ>@grND|y{sTzZj!wrc|0ksJQ;iq`LvxtOMLU$8
zf+viC^*|bu1)+ndV}*bzcRnKf#VlnCB4Tm5nbQ9eRs?<6{>hMhi-Mx-vx=7L8c&$u
z&NU>&gbBGHL=G}4$pn<uuQ6mVo+taaxBjy}g}0H9Mnb4XYDaKtkHfm-dG$kPpbw1}
zcp7wUqI`={P7p!s$2($tz;Ojlu0rM7pg9ol==7AhDl|En8u&1ODyknkKAre|`D_l=
zE&t4hDN^CEfZyYY9dMh_Do;T{0rTtpH_(O^5gDm;-{PUwcns3@;dORYM5W*0gTA*m
z8UZ!mK8TIChgFn^mzdHjdK;|Se7qgY?XLsFSVapu<9w++H8q(&aR)k@zJ2><ZxtOI
zd;QIB@o0LY90P0gYQm{EOsW(^`?S)R*3@-XtM2ie>_>#ip$?}l&k2(q&ea4yOCM${
zp#3fiNIj$=448rBp~;H|C#1Lpqa*$Yva+)CKk{n-MyWewp}$$X5#tum-C+2mPPFsy
zDFs-dlHq^XlJ@o-PWG0e>5}qwxy>DDw0tmtRrDXW18e;hBDzk<43ya%Ra`%JX1C3Z
zI9<y^^ZxbNAI?CF?HC`A({{NqkGgSF=B2Svoh@1OL1_sEoPXzUTeBmQq<oG(ojv+M
zAVRGG{LfcT46kzH-?&c<DE8cc|3}h-=<)B(CN6bmAKJJzea3HKsQ>TZ-*?45+e_K6
z9(MWWSx~bN&16cqv3LkWJJF{?-)1X)8^f!dGIo9nd-?p%NA_va9_2^{ipLe*Bk?V!
zeUkU^`&UsuvWzmSg~5l!7S2=TcddN*<<)ynFY#%~DmQCjTY?|s(4<VdlMJXXt%Ojt
z<S=<Pf2UYX(eRSj))4L#ru;JOn^`Cnss*1xm_ihP+f0!+vhL9IYJLBdwZYEcM8i{z
z-Q)mY@5hh%Zg}ETeE46t>L`lh1o)n^nK#Bv4$XgI$grI5Pp|4&n68R$Y*fi!6w~sb
zjx)5^0M$aFC4&G8)wnkUXG@a`Py~4#g|u0xJasX<r9}7}(y`UF(Ygboo}?qs69Lb|
zPk}>KQO(Gkyr$1}F(z_k){?X<GTrs;jwyp*YrVD>b384aweR=Q<9DZR_*^_}xFno%
z!Z^12cvp{{1}A@0n{?iIy&tsiF)}tytyb#)9^}e_#k2Tx#%61Pkfpp<S}5c#W}RAR
zG54vI*P9SJcF*kn>ebg!?GyTU^BpW6;(EBbi;$(FR8dF+W8>8B=2YH<_XcI?TR=h~
zO}7SboCt1Q=pp++L666tb9m%p^;$Z2;{|c_TlYGRre1FfzEe4KVc%|%H~ouqSEDcH
z6|+IX0Ad)?<T8C1^DMewt*?Aq<UBjy9qbyn$zKYMaBAqqRqti<ylPg$SSJc=3nuu;
zlG;9^tUmJ2Ass5^sbFmy=~d=1p8e8DUa^yXowcZ+CWA}EE{~-I9@2#gJ)U!J-eD`b
zu2fet{?FVT>BgA@VV#xSnZ0j|bwlpcY5c2AQ|Ot|o-N4jG;sUE`uyDIA7kv_Ua=JJ
zYK#jT-rJqUZEDzOKU6hOeTz>cI5hchBLLdSUEKLy_v1=$SiFo_6C`$)(~@Z=PQAlM
z9;bn`ZdF_*j)d$qomqNeEjg{a13gxAE#HE(u#~y(xg-B3!aQ>yBy#e;%(tb}wq~$)
z7HL?Y6hX1^UXW#eu2ct30M8k&W#VTY$x!>^H~FMocqI2H#fxb5>?F3WA<(gzj&Y>C
zzv~%|E3e;B>TJy6(l5SGU2B38p5-B*t3Lfpwvci`dFKMP?!GrF<_&M+OEX=W$^x_r
zGKr7jiEZt;(FJa0jnJkgsj84~8?e^|AbQoctgh*4G|KemYzrox!0&rJ347TZR%be-
z=7)F3R5B5@z07AcZ>>Lc7F)mzv_kc~c)2u>qRl2uF&HjK>>m;Jx$`D9v*CFyLHv6{
zfGEsZJcgG01S326F2{|ZH{X^`k;Y#=aoe4drCfd?5;A~a5#r*_NPh5O9M;wVLoRf%
z!0d8qcJo@+e^F#u5U;$uyO0|H$j-KAC5@tY=HxKC@L0!;pO6XgNGyRx$NLAk8I!1^
z%P;cc2g?>He9k?O<`(3Nv&f|sjBx1aS?*oDP~#_f@LzX#Z00p3-J4dw`L0g!?{!wO
zGtU^oO0Jw0Kf8x?@vHPKy6RsMk+dJb$Y;dH9BLR}%wCMHL(wJvY<Ad(LY)z^A-=12
zhvIqf!k_2T&-oIx4jd8t;RD0}Y=0$V5+|1;ko>CUvxH&Y@0ce$%PfheYFsf*rm7mJ
zlee8He%_x&4vJvBPq%;EDf3+`zm)qVJAcq+ZAgg>{Nu~X8tx|D;H~<=gh&G#K)U@$
z3Q&mZ42A0c-uy=7*bor%ZJ{l*%qhdxfg2|yY5LD$RQ}@Y1$1f^KvzsJ^7*wH6sD^<
z-n@0<6&;^9bXsbUn4#xk3Or|ID0ljO`+%MiSvVosr~CNCRWNPs?aIDxeO<@d)~|*O
z4=;0KGI5Lo-etaFS+$Ofxmm*tVQ@rA;tdNP76~}!B4`2qWSS#vBP`a6bj?`2`*c@E
zJ((jwYBM?=*UPFQ#SUZux#bj#ZJi4Z?MiRFb<-R_apD%svBAfus_#ivE`KibsvOLl
z@x70%DG6GCTjRF=i&VlruVRhKQm1_s;kpuR$M2Z==aLx1a%!S_asQODOkg3UKi`(`
zIK+sraS}DAK712<E_kf+g}^|vUlVCaOmQULvg-W71ri?K`p7<~lzkJ+pl)&^jLIDs
z?S7qO=B<a9I<eWiqatpOM7)S7J7&77@zq<<Cio4OW@4v^!|@4rdmLS5@gUVp{8sYR
zkpGg7NGXMse)FmHa|L9_sBj}I&5c|)>fBRmzV&l+^IN9=@$F__7LPu5>{Bz}yT{cw
z6bE63=}MWW7_@qDK~Vy-YG^_G;(oY+Op6*%FbD}H!ibwfnU&_1D_2Y=tNAx;p_g7t
zP^9*)lM2e?rf+7T1!LMD$A!AyOuQcDk&&}lya13(Dp*DkwrYG_W1%Opv*YsvpsH>H
zceOCx;M=lce|dh$1r4Ydr&E`Orv3CAHHTWQA1FH^m!EiLls;50!Ja(%+kcBjduUyD
zrWH3j+)Z=_5}5C-Wmn_ro_)x7TvdiH9(m})GlfzROyUSa^F}rd<BptrU7kB56IL(@
zP_gtixE$uQOyIkr1I7MXEY+P{BV_5=mAAs#6A@kDRKhcCAXRu3sqO=9y;q^XS0+g?
zHYDT*LcQ_X(n7Z^0((ZzD;-x`VSl4#*3_*eFe$0>cXoDps?NLM6xf{bxHz??mxB*~
z5H@C(InY0>4;ZY9s8~*&H!zt0qZx(3dVA^rRkDKyYkVl#LFX-7-5Dp0X3;P+XOEmu
zy3F2$aR)i5;y@d^A<PL^!wewcx1teGnBjPgjEvFI)3;J)D$SI9qwGMwsCg=$u<BF!
z^6b2U5#o^~2Nk~S0QhsEz-d#Zj_0**C24|bho>-?f{a&<78>3l=LxwZ_Ra>D*9*IB
zCAUUK%`)VZdq79Xz+m}mZWVBAas{V?JMDDH6saJz?JLG9?%Zct_2V>jF!njGRxO<+
zNfps**j^K?LTFJ&UL5@p#^qM%eOUmgZ9GBG!xIG{x3A9I`_rdSNK>y%4zweNPzlBT
zqp7CgZ>aMjpzsFS!*4q0EM?=3Fmer?jzo}|jI8XvhYz8lEK+n+^K<r}#O6?HW;&q<
z(Ho((uHFWiXP(t-tUy(yy*AuGU)PKaP5tjSs#p|0dGgJc|6;Bf7#ISeC64O=ndoq$
zW>l+k)Ag{ke}+T|>@v!kQpN|ao9_+~oBg{z{<|&1d^i_6@Hp(|B%y~++QUN->0t*T
z>#wH&zv_ALG+$Kmw2<~cn7oGLfg^lzqz}D<T`<oKywx*vZIOg9s}*tRBCl(qHtO<L
z`SkfmrviM%=>K=-O50-_9pQ-~BS5BwVAd!Jrs7}_sJw~N(5+hTX5+Dq(z7$qgtN+d
zc4yDZ_iGv@UVxw%nO;%HcRcpA=qWZC!?U_@;a9C-MdEqcv*M;U=^|4wk`@H*pE&)v
z!pcATc4T<$=UQk$`RVT9++5Z?oHD^MA6dd*skQ{06Ma<LYz!iKBJD!j*+V(g@Cdd*
z6MUSs{Z;KQCg4#`akkg?<Xv^e$I#Oslak$Vy#lVs2+Nvp{p?N*#5vGc*L&17sn#5T
z?L4iknFBg|54o&QC3lEHYmLzIa5l!MD{IoRE*-CDbpkj=r)cQC{KrLngVRqxF_L5)
zP}1Bx_OqHLfb?kP%7W$d;;M%LO?NYN6#W5iS}iFgZ(dF&W^nuRe@bfk78bSJbx6(~
zlMKjF3X4ZHf~>*AdH7z)iW43RHS3>-{4y_Nb-lP6e~?uqG)Me{4vH$p(@ifa1F!8E
z_P<ras4Ms=AHAW_rUwr9A+Ts4k>}a15kfEvK0hl}d}WfrMb)RY5Q{2lAk+96fEp5W
z$QMZ-9|-ckVfHR8+BcRQ$M)D9`$%Xea3USPDgn4Gf}hI{Hqv3QGbUZH7rcBzAtTff
zco@C&H>5l6!xM1C%&^RlC`Zxbnav3VyoS6jTfDdBy?NHtLr3}_!9bT0f97LtYkG~*
z_s$Z<bl_-8+!aaoPOj9dR;W-016LsWGC%xwRrM<tui8w^L~_3fz)on|IrB+uLm%B}
z+cu#3DUJd>SNfkpw4=2l))4Yr0nz;pdnKpGo#xoDD^_FvZ5RqK%dY&C<Bq0uwY8}a
z_8ZYg;~f&}YO7*~7cB1m`znNgu$yGfC2kFKc3$iVUY+LL>PT?OO)U1Sc^><3!>=NN
z!uzP>O|5mIuC7&;!P4M0$vhR?JfFuh9pHGn&I&&FJCte|@x{i5W-{H~Y!KL#*lxIH
z{DbsxP>r+D?mze3f_u1-xajDvva!*BEfcL)ts=U?n%Q7t(g4vyIFo3DL`P&<bj0at
z+xBse<~Pcf-Vb!78pj8l)dC`@(bD>p5bxcgjHT}IA#{4t-EAjYnfs?BY0{-D7ZSR}
zvKZEo{RqYY%PDJ;f@`fg{DC;n44DQAE~PY_{!z!_K6~e%%5kB*Y&CDgS6-=qLu7m+
z5ws@R(KR#l^TAP@v$u_)K<~y5fZisMVucCGt5EAUjmC8$ebl4PPZJv33!*%fk|h;D
zIBws?;!&{js7Vyui8hiUoe25{VVpjLYcJ=iN3lr&eLn%@=D^j?=RTXgZ#3TTTPvIT
zv&V6J?~uIWcy=CeT_JKB_=5-V`DL`KBUFsq#x$i0C|aAmUO^klf4nGxsHo@~>$9Fl
zlBUReRW2KCvIg^&f!Paf(kf+NR3h&G6JJCKNA_5Jqp`Fzm*=|IhsC*>)pdi>RL?A`
zC3T}sMT8zOR1TL!GCZp_H@rl0aht=%AES2nL&K?AXQMW5lJK(Qh*+~#NfY2@6@uPk
zON~U5S;ksUJiQMBEEH17h8@2LgsHStFQpQZXWf#Uo7+C?jXyp*OhkE@N7%SJtR<7W
zWOhJAPpi;kF`nF!DecT*+3odPUM_eRw({bKn#OPi73E66j16DMnP=z9sd|G1Q=~Qz
zrQZ1PDqmE1XkAzYLqPF#+y@S;<7YtAMa_=7p5<GKB(qL*#|iyJU)87cEzh+V$~9Ao
z&QB?<T2mrGkJp2-7O$Wz2AAm{CCnpkSKqv4G21zNmD91OmKzvYKO|=AQR%=tmHS6}
z<@yiD*0#<kmqgs8zbdFS_31j+iKYLo;DQm|xz*4}S<Pq9#qatq?#@N^PFbmgC5bLF
zvi12-P=cUQwn#e&x5#3#z-OOh232D$i^|)QT1+WlyJ9$9M-f=?-a;>JENAc9xb<h8
zHhelVdGE%ZRU@#*OraeA^^fgc-`?o;g&&0OU}>oJoy#fOMJBnc8p%|lw6>4dtJd=V
zvq(g2Vkg&>^<410JBkUuV&ZU~sq}duP5c9>%a0V=Yj#b#1olR)>-{QCMPD`dKe3l>
zb34n?zrihbZkfF$kHypSB7a*$<lOen_Ea|AzBucXS}j3=?0ZdYxv3voXlXM??U^Hx
zop{4A_zkZWoBDLyUmC+%R5i0-w{mq@rv9^n#c4#C{bscJ>(Zu5R>3q`ODeKk&tzOu
zx}hF0@_@IuWxP8Gk!+o%kjzDyyHY;&utUg<HKqPHa%J1gJf(a_c!|qmr#<OpY+0xZ
zxSU?YExSh~<CR3tduEbFYA0P!)6Dok+9j|>t<QAMyYt1kebw;{YYh)s(g>^VHdA`<
z74&Z>S&xP`o-fRgZg+)=XykAFF2CQpXC>YiJkIqdGEnmAM@Zv|yko%M8*MCzmCJcW
zJiB_l<4w6@XW8baL7-Z3a))VzK&&BSMYWF2Kd8=fvCZ)m`@**Dhe{$x4f(G!)8d?(
zv!~)63VMI8*Qymn_eO0PY42?N>}%>ZRpi=xVibRSX_}b|Stt-egC(mb7@Oy%iFwK!
z_XLK~AI~nCjsN;_N2NGNlQ9lbExAQIQZISF4&zQI4)dlvcJdb(#AMS=mnC_fC5bDp
z&3jz`9xA-K7#|!2!=+|*aB;+L!ax>PJ&O?8R@n!Rt0!g~DtK8(A2N)$_d9AlYAtvL
z!i<Qrt+ho$Rv!)OzgSf}I#uc!iv4;Yc`k{a^rZHg{(Du&Ix`=9#weSvc#;g}pz=E9
zY#zAEL#3gUq^Xdy?Z{!-3QSniDQWP8Vr{W|%gGTrN^wJbU7I}r&OrMza-_Sz*T^K)
zB~G+uPq|(3tSN^uX0`n5joKGf9+msFuQa8MaHg{Vbi(5mv2fJrc&=7{K@@h!(#+k%
z+}<CT=fAqB{_le}!4r#6Sr<IpYU+yP4xXDca64H032)bU0tij|tQP!e!nhzYf>i`|
zZ;!ap5a!dnlMj{RlpVfLf9a6lP555&m0pPM;D&*)dSyKI&^p7a!BqWYZMJu%Io*zl
zEB)WCzIDHfO2(qLfFT!AST&Yi_X;X1D)NRAkF)Kz|7s`XD&=kMgEvRO+hSah7i_=~
zHoX4>8QnlerBhNqO_W00<f2~4Oj*t|7vo8uD2p<T6MMcC?_DxP)x^WtMHQlW+Xki#
zc1Kp-Uc#D%!QGhsSVO!yq+Nlm`v_Uoa3Rd2Y!Ze=X#p>s5QP^*z{oJUklP*#4GT*s
zjEoxfCdtB3aL)(>%m>1t%21xRJoMY6*i>l1`wAkw&sVjP*W284vxcx4`l>3z#aZi0
z5f2s9>tSF>5VI|^O>1q0*rFSvJ26R6`?@yX)cgQk2j-jPvIx+Iz2>5u28Cjc)MYZ_
z`>iT;i1F~AXlPJGFvuhC<2X7#=CJ)M4sDF4Q?;JqkOQeE3Y?!`CWLeX^j=(SgSXrS
z-{gT>H~Oj1J~4EwtgrZQPli&CM8&jL?UwCMtavhydWGB@i~d!ud`;htcaAN`Y$m<H
zMm#OjZbyT8$~Hum92d^OlY`7NekL1;4TzIbDfuC7qBCfoXv<Kh`Th^|>NUN)sXzGr
z6%0<mW{zPZrQ+ysaPYV=Ab+Tt|AMz3(90!ALf1uJ^$r%4@-w|JFJOSasQo<2ZG|xj
z-fX}%^rJ<hrws^%>N*|FWVW&HZHiUi?<aU~$A`G0e*78S|EB)nY1*2h(c+H!8J>})
zU^`p<?dSYSid$-c4bIgErYq(4mj-C6rOJ8;TB81cb`1Pz_f*N%Kqh05E<$(*0L*>h
zX7&ehyn}ZORkVA)H!BDV3IbGz{V6iMn<3a4N;m?~dx|gg-$M*vg2?+To$Ai3t&_4q
zf^`!&qB;vXgQ0g~5X{O`@Yx@`d}KS1d)i;;DqG3>VSw$Kv95If|5N?oTRG77@ERc#
zWJG32AF{uXFzp8R2aSsvz{Dd7>Amm&TV>}N)zr4NVUC@mq9CH82ueQ`LGS=#jx?o9
z6-1;Z^df{RO;JGU)qs=;QVvy`REY%zX$jJi5>P@=ng|#P0lvA_amV<^y+7{#>45A_
z)|#u#Ip6nDKgcEbPh>FORw}`W1zeQzEXSW4^erXn;I6BBm2b(%p5)JRAXRAFx&8I7
zBqqYNV%hYSmjn|Wdu$Fjk~YPidI-U(5*S>(c+mf|z?kys+E4P${p>ju|6{?zy!V-#
z`v@4t0B$ldY>yY$N#n-|b`PefH=dgaFI!C`*r67QdRERh3X7du6L-TDe>kr<AhSk4
zkm6h^e?a88E!(mExzeze!nD1~-yXJ(ttsJ9-kO&EOwQTmAsgzQ)~4>(C{_gZiIp$?
zQHXgJ40DJg0r)K~-zXhO;erWiVEl5&@Z5e%phJ&D7_1+F%woJ!qK&G6VQmc<F`A5V
zFrE5(*0aGJOwId`m^LXMVJg_Z>seXX@g^Hb{l+iR@_ZjZdoDwKr@bkO*`4-m@=CUb
zP*cV}1q)7HxLMSd`0xD^zVm}=q5VJIzG`af>e5gr0Xotdq!$8yFY#;D2$^eV_AaYm
zrW(#adH=e38%+Orm>_*%W4JwEQa=&G@bFC*_PmjyyBjC_^x_M<_kWIfMEgz)Nx64e
z6D%9?i-QXV_DOISI$g$@db4pBM#tJyE39U%Vb0!2rtd$rQnCFj&7-GSgL5N&FjueF
zL8rsuqNC={1lDSg5K$O)<O0uHR#h8QNK75yTVG<fH=}_dVUR6=LF4Bb0rBLT6Vs|h
zyoKQFZ9y|5CA+p?>&p#za(P=||JtC1=n7Mi4=Car=Po>I3t&C?gB;m}#y=O!u{L6d
z1O8oijrZ48pR7-N_ziA+=jlLyZ&B&|;1`ckWbxfBJ;rsV+cIBeL+W|cihJ$(U+37I
z&tKwEaa{9O?H?_2F_djr#QN~&x88W_v~q_s&Ij--A|lD={OyiAH!yNp18cSZrR?<D
ze=b5OIGSi>hRi?yd4DPtHqe{;I@~iBSblSNL@%i8pe`y^Ija^u=W}4P;ezBx6Mu>3
z$V{P2n`3_QO0Ao7j9IV0Tcch>JPE=`ofNzd&w}I>E_8(s$dNc-6r{}%zhiN!G@E@}
z;PbkCL$=zL`+2&nOzC2rOFTlJ-%QI__f*O8OyRm7@N~SB@arOtXpjW;SKM#hg`3O_
zE{X;EFo3@^(5KY1!3p;gIpNC5PP=G63UxWIu5OFN@pX@0!3k?1FJN!C+>x(}Y*Ow^
zmss*u{wPkVcJDp9;;w)9M9eAXmHxbmNX=i5dw;~%v~GS6vUF(oP?x^NGVgzE?s9tU
zs9LwIT<8pYjMJY689{BWX+fS-<UGaL1YgZXvO@p%x{~@sb`Y>-#1|>|LUn-1mn&^n
zC6wkn?P^QRf1|v0=C1c8<J#~9xB*|p4egOl*GjRAw(iKTPCB)90=+?aof(ooz$P&x
z*_-2YUt!Bc`PZeUT^MRS6vf!3fY%4O+)?e}8-*F0l2vA<><umI-KEw$GHse=4;1*F
zwPkCJ!&JJtvlROZEq6?-><sFA`Gql(9qjiiQ+t)aZ><(orpN`-FLbKY<)I6zC2{`J
zn$qN+rHCHZrUkFRixslHl!kM9mvW?5kH;f-oXunoM#Z@_?*K#7+H+y3?|Jc_=L@=h
z2;;i9<YKGUH(j}O(6Xp>Q7&Jo7$Z;4fg-t(3Q-@P-VS+Y*bUl}XSZCw0^|iVAEXka
zW{q3PmrmtszD-WO^_oR$-2k4OhWeg=b0xVE_igQ#yrYTYJri%`x?JniO6jVOJi_~b
zM-9uqTpoLm&_iBaLOkMU<#|nOpVd6&Rj&;{fQ;vCL;sTgZq15U7148{Un|`#SwiM?
zCau0akf~YrQE)Igl`3~8ySm6QbHH20(cqNnDW9v*6oX5BLJ<@Lvus;g=~PD6&1$Q^
zUk2VG-0*T@53Y>UJ>BITF_9-<k{g}JL$cl=FtjuVFnLWHt)wC1=iBP<`yGr6=xrxC
zG^?)hIbljZa=Ju9T56nmCj4IW=a8Bi7t}R}aGTrgA?^zJx%;Eftas?-+?6#eNY+$0
zkvR6fpmG8IA{9n8!{fnOOBXbI>6h@HhO+*Hz0XbVONg```Sm=5)DFy0pi~T*Beop9
zuK&;tWg-<}Ot^p2vf*sBaNTUtMRdFyE@d068Mxu4cn2i1N(i|sW(2on23W<k_Q5fn
zbWt!FvT^U-_~iRPLsOL~0oew9qfiL){&E|8gY1NBe?V!ycNOid3uD^1x3{#~Sk0#_
zN_=;(X{{uLKuPc!2oxf>J#$H$g?WF)Htphuen$(TWT}|i(^QS0i-$iiDRb6lejFW4
z_DOy_5?AhYReIRJOnJn?2u(^(r`kB%(A#301_biDcJ~l}F#dodc~67es$r<M@cUPE
z`S{8wKlg|PRxH0zoN;5~j}3Gbv7t$1itCJMW&b0NLj43WW?Tof7H(yG*vQT4O{x;p
z_>j`_fRLmBg`5pSBukvo+tS}dSJPAFX+~J)*3$J+zwrV^i6$J<ao*KiYJEEM=so>Y
zZ}8=RTf$Dv{GDb}Fy-lWUNJ7W(<K&zPRdAYo?PKTQf_#A2^puX?lXR5-Dr6^ACt-c
zp-*X8GGEu*=Jj??o7_>6pDDweCIe}#X~QSdt8M3awZ(kQB@6CCvk5jz_7gK&t3Thf
zhxJ?Dt;eJ`rYWrF2A)(*9};Nc?y2<DAikS4wUg6G8$NAsmz12K($hxC?c_<6E<q*f
zg{PH_%9vZ~9-8>17WIK|r?1enqGOtO@1G3QD`fxuJqfY7=1=$~b^mJr(A2iml8~lW
zy)W4){weN|PiV<k!=@`t?Uq!-ZfPT>cM(>oMV8@qNb#T(C$dMVRhk8*N8B&EGyCl|
zUpnPQ;x`|KJ*@QQ#X^mki6mS~QLmKfWf=>tuwVIjLL{Hqxwxs$j8Mt>DTYZnV<4il
zchIbZx)u~$+k0`<@U`9~yVr*X!)wu+GW=Mdvf?XUYvO_h7xXSXQxlL$PyQsYHqK>n
zaPtBYW!@0F$>zC6z3KFl73HtnFY54;LmpR2-yGPZ!T*sfc>G4+o~0ahk%h-_dw|S<
zRic)2#}h+|+6;n(h)g<E9X&0=PkkQd(LiB|*;R$pR96d8R=Nz+&h-F%$&;_^`FOca
zJ;xpE0f!q#xq`n?>I|=$zSd<vbM(R0+!fG#=f1wFaQxmbI{VR?X0;tDelIxW{q0?k
zD9D}`zz-xQW~FG|GI2{#**a|YWP1_bM`W(g<gwxUK}tj(v`QWoYav>w`<L^mi=Wg=
zyP2HAb|w4a&*S)3e|#=Q4d4rfJeikh5?;(=40N&P{TFcxBaudkd(c3@pW<8D&wZZ%
zgqrIU=y&~({8s2>{R=q+-{RjHK)=DS&7bUOaxF~pj~+Q;1>iLX25aPzHS#BF$EQ#o
zkQp(70ZHyE{D40%1-#r24m19Xi&BS=#)xwNi(=F=2@)*bG!3Ym2?~aTt_SQ&Hoo!{
zO==l-5UQ&Rw4$JeW9QsXOGxZ1SY`yY`(2NU>HVDRHrC*So0J2+j`70o3wWXh^+x~9
zsP}@g4yb@7g!^uTS`<o;yAh+_PgJd;2Bc3*Q%QP|DB1gpP;}u1Po2CL;05`AlEyy$
z{Qb-Qd0hVu_tx-^cB<4JklGvsKpgaWkbDSkhG8}Jpbd5$D(8a~7O-Flu@cCwE{1P0
z1*fT5B<^O&T4S3hCjhl2Mphnse408Ayjz}qm$HGBHfoLhUM_z9<J&0kcJ04-@gfMa
zx`9*?%ZqYTd5fW5rxE~WCUaq#(R$S~2xCh*Ty`424v@=w;F0|U*d6#twew&s@HSfV
zBRh08h)R5XcL4Z?$c!&v-UA<!1!+%Z;m1ml`!04vdo45}1!xQH(9OI4l@16Pq!k6@
z_891V*S-6VsovwDuzAN=Tds#6m{y{h5zr!}d5HKaAwj=f2f2oW)orNSkps{XZ@5*q
zHaFTjI;twZv0hEYl4yY4yw!K!N<fKb?%tGwsM*fn2wYN27nM*Hkf*(kIxGW9EW|bi
zN@r6-pgc5wnkK9V=Y7hsaStAdtoS20Z9u9bbXE`W(~Vr;2oq_e1_MtGKEZ`_(U6P)
z1Y&JqLF|GI!L@|(I&*eZMp_#2u7T{P9!srsc+U?W^CJM1l)!aNf05LNj-Nk(2F&U`
z1t8IR45mP~;|j?D^JKb74x%jq2WlCfcP3;r5TxZKM1Mv<Cv9L2QF`<xP@7&1A;1S`
zCcv`Rc$Rc-L@Lst#h4B_rBwKi+%FMiZPvCikaaEg7vt)ojWj1#l)>q}09l>f){j<{
zOG!~+@)S7$$V^=T0KOh;oD!EqR1y|`2ffhxZXY1G*#RklVv%K@8N2{Pdserg7ikT;
zBxPg($RZ+5DWJvz)1YH&n(7a&T^&!)N~q(Uu>|bMD`$`pO5Zkn?&nb$YgQjZS-J_b
zIi`CN5r@}qsjKe-U*-Ye{G1dN%s;P%ZG_hX84Kn&7Gb;rec*%fqme_j`Vb)Yf}F9Z
z5~Fp(f9im=jLf_+sZ<w5d-FyW;Uz)f!zcns?I@DPg|Qy~V3u#5F-u;DwkA;6_JYkp
zf>hbArcWJ*+6^K)hZPgvLHP(6nF)ZmtSpR;<cp4dTEUXq+h0%K<UD$3kWA(+=>4pZ
zq5)hCA=d#Xx%-*(RYVpEi5P$w#fI`BJM1gI8V9k1TbRIP5^`OpD3mmixu<CXfG>J*
z{MM{E2PY?*i32DK9;LExGuK^f$Ls)dVNo8vyJm>fcL4~fXQ2r!1<h=kt&PPHWY<7i
ziLOOGN|6dkSRQ)`!<D`t#pnj+X!~fuVpGfD;2?ldM@(IZ6-Hjr0s*#hrt6WcSZh)H
zB@b#=axxmi*q!Oq{Jbj^|2x5o`TJ=wTpX~gE!0y_z?!k{>Fw<T($Zclx5jz7W5wdf
zkUs)eE&^HwspKOF=l1|)g_w5&>Ii9w083&zJK}_Be*o0YulSC7M1UE9Fbpg4$Ws9!
zp>$CG$v~XSpx?3gmRTrb89zLZ6?s841wqo9um40{P+Yv!DpP1zdR5Ru0Uh?B^9u*j
z`cwieitVYu5y|bY0r0Fe6lx?F4~|V=#|PNi<wL7jb_*<??e)?$v4v6S$2voFqk(*3
zi*V79LJr5#qfP^*=Jtkpn5T7EygWAlK}?M7zKCW&fB!Tv;f%v(L>vVQq@3|J9{{#=
z!Y_A49un&WP_7OdojY7^4Hl+?MhHD*J$3;>k5un!V)BrgjqNPLWtBIY4u;u-bl>o6
z-1)6PxC?q60os7ktH6|;#RmY8`HxP(RJUjU{1a>4$!<(C;Ga>Rg?fP#cFcP)#r}bt
zVInE$+f-W%=q<pd^3WEuaCNlaeWa#~2|?e44bbLC1`#+i#Vltec?ydP{86r<sVUvU
zZTLie?=l4ILql&$0q7B?Yew9}eqhA60+(T}lb!>%Cr=@tK4f&Vg&R>)fbkSDionVe
zet)5b8@_ORwlYnAus)6#l?8sG3h;)6?tY12%rEf<p^+Uu@B)po{M5MkVR|w4DK>Lm
z?XZO^An{0b$K{~PNMD`B*%xBU&f?bre)<vtn;IDz$(zhvpeoQ9o3;hywP|2)e_mu0
z?V_GIaztbGOF!}#K<Vl_*k357j%!ez1gXS(LQnwIPJh7Ev)n+88jZe-NZUP6aVCr^
zE+U46G7!n^#-IC7gMDXbTxX}YZS)z?rAz|?6lYdp6E^(J83zQM1lU6FGw<Jj4mn5a
z>8#i?tR%|`PmwQhHo1<-EqBV0QV)rlq(U1#71n9m(2yy@T1pptaZ_Mz)Y6}F2w4gQ
z`WLY((3333g)o{ye0!DNaZ_L;jojc}3>NEYXuQ`H_Eh?oVM#=y96+a~p$;nrykZ2J
zEQ17PG^na)lJw0|rm$Op$LxY5vkTlToq&he_VcT&2hWLXNrMY0ff2+W8Ei1kCFZq6
z<lms9MnKcH(cX?_fO)e6%ADQX$V13*{2Y>C-ks?zJ3zAyXxbyT(V#uSBY-9yFRyB3
ze}#FJ1;}aU@N@sFrZC(cY-WJRx}S16Of#roMnF2!3meBV;6wKQqkjrWaCOSHcTG$L
zHb#ZCQ>}ph=DcnDc0{_{1?K8Gkvg`Nl~G>UT@hp>z>Mca`u1viF2I|n!8~;qlrR7`
z>8^GgqeqXt5POoCu?~`D7a;Cf!+dH(!MsaLvI%`%0vDu)OGtMo3<GAKjBwJSS_XI=
za_AM9$JRLBbH3yL1)vs|0nWYMkFS%+H0K5LB4+cl7?9no=GqwW{x?@2(Cz#O<o|!T
cGBQvq6N9Sjiw_RNe{H~|p{A=^rfe1Zf8YANy8r+H

literal 0
HcmV?d00001

diff --git a/_images/1c00a60ec6825804ceaf2cd92498f6edea6a10e85281888a20b9794ce2c728e1.png b/_images/1c00a60ec6825804ceaf2cd92498f6edea6a10e85281888a20b9794ce2c728e1.png
deleted file mode 100644
index e868846d1db862893b4988c2be77ce68bebbd80e..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 34937
zcmc$`1yt7Q*ER|k5`rQjEg}sfor2O0(v5U?_ZWakNtb|hcefxR(%m2+UD6F_KQr^b
z=l!qmeBWAUt+UpdHM3?$@%P-n``-87*S@Z6KLPTxV)xJp(U6dk?n#IXD<B~u55PaZ
zckjTjq)vCb!@sy4MbsP>ZHygV^z4n0Wb_<uEo~ev&Ga8T8`(RU*;una<9f!%@YvMR
z(bj>7iOK4}f8d#oy$KT;C500_1l3kt-2n*+OAql6a<)L084{BJvV`y}CD$)oGfpo@
zj*mNbS29Y7>H<rPot%3xTek~ySWQ}jCK7n+G{0^4PUw^CrKr)|A&IFzK1O*zcai(>
zS&RqMHs966ui5j{`j@|^UFe6+D+tLy+!sub4Qsr47yfH43g<QA7lagqeeVn2y(jSi
zSMV-5+fxxG_}%``{~!ORVd@T&;N4wa$CX}^*+#Fxs3=?&6_t9gbB+<RCXZuGUfw#K
z2E1QeQ&mWj^s1PDc^q$h9oa2dG#$ip@XK~*^z3v92sHX!^Vc}6TrE4$D`kI9^%3*c
zC{W2-MXXza^6}%p2-(el?d-_S)H>y;7Ll&>CN5r_?&qAHOq7`%Y|rpc6cy++@E{{2
zpPZlHeC~DTh@_>Z#edGVTcPVNO+<!It025F7wY3(Z?`D=36JrtsE<)0{jO@E7P)St
zXXjN_<P*9N_j#N*Mj45TiPdTyX)7$oMm41lzWZZ2Zj1(JNX01RD$zDn2$Q{VZ~gdy
zqWtPoTte!gsOd@{{@2yjRX#@{!|+;D60y@H=y&hF8Oc?~AY`KvDIo3Cb0tXshz18j
z7(P)WcsIoW*2%@o`|$q#$J`iC{WJgh-H_Y2Zv9$V(7)d%WuN}+J>ro1OFU2anBi?2
zLWCqSw+ufs|8uN^*oaSI{lNUPGbIt@zYf`@5Y9S<+$;b-Duh7rIOBJ}>>b)v#0UBn
zrwiGeQvdT%W+Amfa_;hoSMC2shZKZ`WB2`bBuam07V*E|;6I+-fuV;XkND$3h)2U)
zL}%X@T#Y3ULjHSEh^-Se6|Z&pC)WObS}oK6d>SQ5xDfBZ?@7=Sj)_<|3)Me=P~)E^
zKEFeQSk$Ng<=H&OcMbkR{Bc9+f8w_svF`s~)ZZJ$EcEDRB=KbDV?>Dm=eztH_wbAV
zxuk6=#3D*tMgG1M|Mg4>|NpUT|Bp-h-=D$%VM+hqx_)M%)yDt1&VQEl0~`PE>-t~k
z`k%Y?=<ENwr2p4P_doA^2S&=d!v6?|f0rbs1?LFK;@<;|b`(d1+}{`DzfR!qFb*MT
z`DaN45C2IkjEGSEKb*jSN9zCn#363idjI2T|G7{9xfm&)rx2+>Vj)!i?|}bzQU3<~
z|I4F;*Z%+W`uul@|K|oH-i7>w-@m{3?~RUN`$_TP{sO(il-KFOn&OQcH$DaiQg|F~
zs%dH(=!fqKtoZc@o6~R`1_a(0^z2AYOPi>$!0(D-nEx3}l+35{+(zflJtEQTtIN&=
z&Y~pjE6%@PeN{~|Msd2{EdpC4a4<~_i)FSUFv0hB5&_Gv2=bdIjErVS^Eb<~<g#p2
z1Q|3d8G7u~afN=6BZB5hqIl=Y)KXVW&iQvN95l2RP6JWd_=KT>VH{oqgP(*%ihZpg
z*zxe{e|~=3jCLDxs>x`+x<+4EGzPgpBBu!RgiY^O#W3j(){3ALE766-#f7~}Iazlo
zqsL(=DSn(K*c?f#NTXfLM#AenEE!U6e3$$0WYEYOK_#O<QSWx5t`WYki?%9|Gh(hm
z6IIWk9$u%TLlb_=lR^N2rJJEd=eECm4~vxVTUS>gd=fS(X-NGJ_7kUY)~ie<I`ukx
z%7&nzaP61KIB2)iWTgKb?9LBnNaggVp!<Cm8p0UFzI@l;FMqT>)3v+UQRB3MSESQG
zMMZTdijFi&@;1$L7M7MDKR#j*Fwm;xKZ4|+CK8CpW;S?>m6g@Y2bFetYpZ8_rjFa^
zif?vy*7M{~SnQ)E{A3GDOKI2(+SjSK*v*H(I&F*&=c!^D7#NUb;kEpMmmwAK4)XU$
zAtfc{^E~-nWiw}gdFHe}RwP%TQDJLq`>nb8?YrCPR1Lj7J;AbxJoAa<H%DnNW)yNp
zB7*}`Y9k&dR9Q-#d5VkQt+JkJ`TqSqugmtI%?Z|Lx{cECh~kox6om{)r9v$N4-b#T
zE0Q{RGfYg(e<~Vf;*2U0WbLc1^^v?F65i-KmmTZ}58i4NwEy@KtKTO1#zyyTz1zNl
zwKW_WH^7h#miX0G)1(*si&vMtw{F$n_y(K8pkCTvZD)Y@OiMgP(D&dX%4_Cye}zE6
zo6lu?njH4<uOI?eJqt}t%_(~vS_NV$DXH%6?$<Opt*x#1AEy28NkFP^*s;65BDryM
z?gpxF#ml!h5UbJq?x$z?G?93riIIlpV=xhCsplygY}l=rR~NV87@kH)6Cknc>FM!#
zZ+7`(?I34sRM36*yZ61bGr$)ezjVCK_a!=d@b(-N4`Gr0Qnmf!9RL;vr+Z7AGj%a1
zC$0>PjI@gFe#G4NdX|=gmigghMY?;xJ1G_x7dxXFi5fhPjemS5k9?-Bp*a^`g!bQ6
zU)*LfHQx9{4u7D!nrpc)xep=<_3qtoEiK{g!3hQ?s>nn{9+EN70&Cp%y#Eps68dv^
z*wVE@T4kfVQq<IojP^5{@qJ(*dPqo!*;&O?RZB~TGUFcowog&F?le*wv`d#;Z;7{k
zQijvZdihq6mQV;4?d)S{DE0Bq+|swV+V!5N#8O=t<<>KwZlmLQ?)7SXynYAg0+>jx
z-j&(T&W_FUgo07C^808d-$dEU$>ynfMf|sKoYOT95nkuhHTFw4xE+?C`dnRj{yF%q
zyxdK=^oW3@hl-VT50~ykQ4v#HU`)$E3H?a!NT%t)g6<~wr;w24c_EwLq!-Pz4TZN*
zPzFkk=%bl*qlX{M=O{@qTKM?*Kq_KpW+t~7&5vZ#P5OjOAI|L?m+>)^bzorNV0GZV
zkU!=F5)zr+g^bn73eKK{DoP>0AdQ-isVbZCG7}VQYfX5~m!tU;kN7<wv6}P_|2$Nr
z<KT!Uec@j0vcs>hAE~A}HBjTg6whJh>+84UcpalruzYsdwK-iAx4$BnDo;~fQDFp`
z4~J1hiT?P0%V+I6=U|-%_x*z$vIY;VOvNnH-`#P%B4dA!eSWqF(@)fm;VM#4crr53
zB(-c$->rzJd+^{SdjxQ7*aM1o#TxrVoQ78_bZOjn3(tM7xRbN9#m^4bzDH1dYgOAO
zLBc>PHR?j#4LW7Ml$4a#RvHLv$Ys%x3kI5eeDd@28{L@JdS%3pcIM<lNnhN>!pf3}
zh<4nb4n)Hx9<;op35O3+X?T8gINj(K(c+8lu+WP7Gm<uf>i9f-C`)c}byeKf_Bo?Q
zd74zr?D#~K+>l437tuFB#p9($jBwb}@dxO=y}f4ca^weQhwCF41T42KEO@oF@Z?Jk
z*K1!DY1g$5=NR1eA^U;s;6O;_pxHD=hZ`Kl%%?(gV)px1t>ao^?kQSI3OR$?^Y=GV
zoWm%kRBByz{2RPP@(Z?pL^FB}?k_AXxSky_&(0=65s8YR4!uuCCe{%`68FM`L*x_A
z>H3Rw%6Lp+F|nac86w#vK8g7jkvQ&sm(4Bu)y*piKd3p+J&tf7NC?=?pYE^p!F#l~
zw-44hm>g|QiOtrZ#xWa^V`7dB9wc3F^dyW`S4;o;85I~w^EzBHOI9*Z$<rnJnf6aP
zflJ{m*%t(y*72g}<K7a&!dwRJ7|Wv-UBt!Dv(`8Z&m}V!P>e9bCQ8fn51l{ZGv!1P
zBXxw5>F@m>7%tQfJ>8EnFgJ%50qfqqdALoMGqurw{yfKHQ2X}n?aih-O3v$mC+@$#
zA;T8Py1H_ConaXFe+}y--59Ps-nj{@#9rx3mK;)9gDht@Rms@g-0ZkEn2_vEcztYm
zXGSq^WOHt(ce<vxwXKcC=qFC5OhRT1gP`eDZzAv7U<UdN56m|Qs}dSa*d-;*7kuWA
zIg7M@z4N^t)ijukp_rGGse~QL$h*P0MegIh)hAYMJC7l7&G$K)acXgsk4e1<6&>AZ
zAaw$gSOh$JVSD>(A~vU7_}(~N?>IIyY+p3o0k@5Pi>nE`;Nal-likJP0!>wmF&8JN
z3~0`NcSfi(74#LkopT_Wtn6yl*oRrq)Rs7HsCbECKT(G3;#*L_2<2+NYA!lmot~bD
zC%&;^GHuVJ)ylzvq0u&(d|<$mgGGO;_d5=KW&_^p^<>jr;@VJ0iS4{3A%|u3=Gf)o
zm^zj8qqo7q_o(HP9z#ly2+dew9@udwX@T{eF2(3(zg|Rf-saQ4e;WrIPl(fI_6}!N
z8r;r=_F$qipKI>|Esv$2QHbtLAtQgHWbtz|jyw{5o+p5l0NF(MQmZMBcut$b9dSWZ
z=>iqjH{V`%cQeGYnHk4BD{82z{n^N$b4yiV)jmBv+hVn|%MS`(${L6mD*x*SBD*%Y
z2gk8npuKuU7I9fSS+N267n79F^<`Id!N-sgS$FBmOV*c77klUq%iSpw5qRD4hrF4Y
zel^G~=f`g`2!~00d<5W1C+D`5Ld$t}xFHAGTfNkfgn-p}P+wu|b>0YrZsSLGi|D~p
zBPn=vHY_xKe73>EY_9QzRCIotY@#1e&B|m&m)g;ar)Yfq-un{fOtjlY3yTDK3a>M@
zL`DmpMmh<%AmrBiQ&58mFMkZ@G-a$-xa_z;fAbPwG?=gr4t$6vW!p1G#BsLXP5KL0
znBP4g!|myeJ53R?wzl^h+?{?MZp3_f;o+xIVV-e9cz(3?eV~NG*?CE=#-1oTI@;{B
zQe8AdTnA*)wTUw71P-e~7h-aSbe)E?556L$-VF)8+XN5O((M+_Klu8kD&+CIS$0Kx
z@oZUXmMzPT7Mw>sq%MSfF>2HFi)^$=w>R16*)J%EN<}&^v_k{DU1n;iWxxE2(e+Mo
zKb*Wcnj*WS`;uI*U?iTM_eUHnelQ{X@?yttm#~*D5?F~mPN}ZD;TNYX?T)WsB8vt+
zf($b=Uhn4csrMz0;9Pw}0{|@IM4rR`HLsrTZac?KKO;X3sNVq*)J2MA#@d#an?s%x
zlh@{By#dwLu9(E*Q43>7o80%IAVcDo^7Qnq<wx79GY@EQZT(CwN6KQ{-Mu|SeZWDa
ztmy3>YG-dQ3fHH4SAcrV=i=l+lw@014Abu3-i>dgqtR%%bn=y!>KB*EW!5vYK|$EF
zY`=d-`A^sEKW(_0se3uwgvD0fQEJlHIbI^<dhjC#pDAe{pjBUEqcA|BQ#rn)qb*HB
zHq$?y1}()wM4Tb_h&b#w$Bh!PaBttLPj%a$?2aw@Y(8Q>lrF)ZDSH`ww8gu@hVtzL
z>i6A!kD$8q5}c;dp?%C3?&V9rn%{GAaivd1uevxTWk*CjBqvX~xH^w_RDFpINw2e5
z&p^H26*Et@$oSW{w-TWhHgievE{X*j>{n+SOi1ga1yYc!-TwSS9?I;QZ}DZ#*Qj{(
z*Q@uUEQUW;)5mruD|+6LC2%{ChlKQ)PL|U`bk74RBcVG7L{7L4r}=R9b+-ZFh~Jmz
z$9KOwF8x%dQ!Olvslhwl!~LpOf<0a5k^smrMI|psy)2~H0ckk<wf{qE%!dyiBrR}1
zIy%BFu3+qd0;=BRtxZTN?J*}KbpY9c&1UvXZ=wgY_l2WZ$AFrrCm+1;_r4u+faFia
zLWm(_`Np$bC_r?p<g0}Zhj&KN;}>XFW$L%(=4;jX0!kt<v|!~9wVEuCpYuuX`GESc
zxT*>TBg-hetAodR^T%RG=tQ+0MT7gH;G-k}f~AI?E#KZ!tj&0Q)?txO;v<CHZ9bYG
zSa;6R`=ur)Mh1hF?+>7d<$T>8(F{pt#fvk5QMPt*P%uzTp&O{xTG-RZ8IY^9lgmtC
zZZ0~Vvz~z$+glx=(5ZKQb#-wXkrXo?4EUOMZ;AeEM{5o~8JS#>4oP^elf#Pagm>E9
zO)@evOH0dasC5c~N{>i&b#?O#3e+3id6n}<ho$@qG{;H|JGF9E3V=G(pJ2I^?hXtN
z&QM|06b<<zUS;hCi|X&czdlUc7fva4@@HPCcC+{L85Q0=0+tV-Kg%2UYDI3N(_Hve
zZTBQ_ayzcxhni@zHCd62Bk$tk0?F^&c!}bW7qah%v|;#RaV;(4nL3v-7vhHE%1UEE
z&DC{v8@!)R@B?Nx0YRR&vku8_PrH2#2q33fP1A9RjgJq1;UOz1_>SG(E1E%_Rw?_g
zToPaN#Dx0JhA?~Q=j{$*Wjfr#LTjkPa%tPQghmQ9$vCXFI)8*wr~@abUS`}jGJ@*>
zMTUXl5vMgVd`hO3CbgH?NPMb@RDZo2Q3wg|k3#J_1QzDuA@mh|n~_0@hlhvrOzRO5
zQG(6(RGbdHuJGK0R?eqM4S9XZ&8;3C?d_|VF3rQkk>lf!f^}^S4EmP3RBfG|Wn&lz
z9Cd{`EyrI1h)Co;9(KVgU}0s=g3p9&E)|H!$nP-?4Gy`GsD)LUh0y%(;rH)RT!u;v
zI*Rx^T3T*EPnD~b^X~oon^E+t?Y+IvW=L<50>qV;#(>*0;DQr|vAn$e?HXUvOT4}+
zE-p^T;i<7i&#k;0x6vGqw`BmZo6gi$=mcg{5e#1H{+cNBp|F{~7|zdWXfV0=N==Q%
zA9L#!R5$zI!jn}yL4X%ZN=mA0t&Mx)1<b|@BN`3N6BD)F5GXC2k{%tuuyuNxxI!aX
zA?GPnZAd@!TU!C4eO|C{odC$?^F|`+l;cx`{QL7%nIKVJZ4nWC=Jz@)_BgiIY4nsx
z;yc@jf7lsuf^yW8pbF4Sl8NBP4V?(s0sEE81wdu)ok*xAA>J1!{B0(gR}nQe+;(=m
zYtB<m2dAT#Hdti*zt<E6cwDxltToAXp{go8dGaJ%rvXnabejUop5f2PILnDrhl5pQ
zpnNmON<NnZY+oJDp@!azii_*6q9Q9ahn-)z(ILw~@0#nlGaIU2=55lK6rok?m>fl4
zrI0F2&>l)A_x8r^)v+QnXnY5cW5OBalKCNgqEbZyC6Q&Q;cZ1LEhqjQH5OH2@bf1{
zGFk)%%W&5>ycig}=obqmy^oLY9~|7!J_hv4_m-9?Ga&()8$b8=`veT2X;0wL-8qvA
z)oJqXJlY~!8?$-z!X4w+ypZnptPBkrr;SeY+#D7)^~`o;s+3GZ<rBrs?#+p^#e}||
z&*T&%d1J=CUowbaxCb<P`P=>e@fuj?Y~3d0P%?qhSNc6p>%*uO8a;*Dv~!0dtNwy1
zU!g~L^_Uydyklb{2Zsrb9|a#@5I)nzVdNqy&=Amrsw`UEy6yE?F*69b<qfZnCo(MQ
z8&BL1*Oeht2|<lJAQ8!f<npcF%?Ah`pIp`Jx0@3VwukE?NY>NUlJFBvc@j$3U4w(+
zWZtIV;CvMiYPD+ip1=8Ki%C-ZBUOanZSOZKfG&gGg|=*^TpQh&Sg?gHHcgkJa24VC
z=`SH))YvVey?!0W({v17fa~cVH!i(Ob8q1dDyqyc0zQ%}+>hryUlS3XD<$@AZfuAI
zU{elmRr;(|e#}*(6BHCIF3bD6L!*%;Ph;Bul@>1VBLV_FD=Ys{Il-|o2vsQIjderw
z*D)0pBv@o;a7-}^WAU-E{a;_PYH5cKW(Ge@6Aezao^ii3LC2_=iSdwHcGv|YOwjB6
zi1NvkFBD?s4j=R+tLtni#X_`(3#LBjtCtOAzh<4Dsam@TUg(PHt8rW--kNe5I3a`!
z#pk&yRAD{>eA5`BE<&GETsd0LG~3_W(c!a;-#j@<YO~{!Jz@@Zs41`L6eyj|0O*F-
z6noHh{V)jPxCVULEu8;s#t9&{t|y*dLprC%Cn<wwF!_ndr+&y>)6<o!j(jYzI7Ien
z^jb+LD3O(Y;d*sJJ65PYsE&!`a%_dT8JRMgW}Z+bY#uy(D74rfYy^wK#ww{SDH(FW
z-m-I=kxu3(2?!3p{Jqb?aa8Yt4~Y<eXRhhIuyMJFR&x{&GGdJCdPgE;rMC%FuK^%;
zL5TvS8$C;<kMzOcKY~${<Lr0`?!=Qr?<+SpEK=7ppQde&4z)^4ayz>cE*@u@Gp&EP
zhn3?wlMM3)W66_q0i%`PV8ri@+~KTqwn}qcV}YEj)-LR{wYSuT=&6+z^X^H=_lv3I
zpCm&4@u_s3oa9LXswlx$;azagv4D3pvjG)oGfBh2i5dhfhVZ@<7$j$`ikZ@SEgw+b
z>C+Q=T|{$~yzMTF#03x(*v@Q&dhr`S+32|GTBk%3UJe$|6Ry4G%j=mgAn^dSH23W=
zTZ~@BEpr276UXmG4DoC9>svBgV=tieFZ^CX<U)6{Hs*62HHFCpyz}?>_Xh`mM)`bI
z$s^#f+%yS=I`9`F8?A((08R4kr=*WIX{}OaJ_&4##g;po@4L4*ee^F**1D4g$nf#;
z3$%G_077zko;*J~Ix4pqlU+H+pFBL@X^P->FowoAA+zAy*RP>)Od)$qBtUcYnS{nL
zT1Yi{e^+br<_3OGx{MfUW31@cwl<cQ)^gT*dHzUVjJ~n4D1aNbZOM_$Yb}>TNZ)d#
z^j;nP@vRl1-1fgOHko||UlnS(-9<;I^f)43JJZ&bH0(=y4}EKaZk5Ft|HZ+OD^!z{
z#ZZBA?@J#=P_yn}kpi@>b8^=W;{YtuK3bqz?XW@xm-fn%MwCcUNaztqKIi=WJYdfI
z1_p~v{6#+3dXY>!-#$L@Dj$8n-{ibC*<Nad{^<D|;aruw)75qaoK=k7ajgE3>MW+C
za%HY-wx>@{PLyQwIM@I-r&!O3>UvF2Pv6K;2#AZT!Bkv}fdV0EG%5XUZOVlP8ehZi
zSZ1w;_|gov96f#g7Rb^x%8~-SGk3Qv`oAIrc?q$!2*_AC&*lPJ8ky^>M7PtyWL$cV
z*V*!6Mf_vK!$EC<V+!S_c6TsVTSoGH%ozP8GxRUdmb$-i$34?__p#@<mGt%XU07fV
z<8fMNaa@&uxxYj?d62BNpl_Uce$%dkv1ZX84{y1(z5OEVQ+7@cfn)|tPvP~D+#*!h
zETEdq_%&5B6bLpol*8O1;~4;@1gr<HSVyK-qbIrY7^20W+4z)Zpa^J3y=gYM)Trr2
z%5x|JfT8bcPVHfkPA76ZWM;WDZa}^v;3}q<itbMHxt<Rq6VP6qEe0OR`z(j-!2`W~
z-KJ+|S==%)F{VR4)&b}=A4BEld?F)%n$|j7wbeLKH=RyHCleGL%&x&1r_<Kfma%r{
z97+NgZ{G@(+DtjQsrS=R&tyV~xx+&Su;-GOdlDAc)&dF&*oFL$41x8a-BwY~Q9?BO
z$Tw?$EwCUfDk=hKd^wOx8SWJf5S`h2nvG7$_FIn?`qm`7{*I1nYHF%NB<1rzjPxoO
zvK=8ku7~Tl^Hi)1PX3e-;`am2^uyfhOcUdW-s=N4<<+%?WS>Fmn)6L};I{Sk2MeQ8
z(KV|I7Y8VGKjF|G^{miE4aCM}Xdh>ie+qc5uNPLSeMBi0jo?)n)QbOtKzj{nzF=+<
zS_x?IgAha|z3Q_9UEN0^P|)r7eoG+w-Jel;T%N8>92`rgGm{T^>-GT6ESKqJfBb0c
z>D5r}G4{T}L)&e)g$!0<zuXN~aRL|t9K_zsB!npCDzUHq<>&JWNRiG6e^)m*=)I7k
zHVRf+a?_~f-}3gBLtuJng#eXN0QuQ6IeAsaO-UE^2^gP+EwALEtWdk7O}oc>0W--y
z)=xD#da#_UJx}?Xu6P~*HxAhSHL&h-q+<t<SgZ!w-U}A=-FC?N%x<9qU7ugsKA)G^
zfcTqVnv>-@a{idwk9eKeIg{rqt!^Uv(2md@Zg-`sz}&;7F<qbLj*bWtUd)U&FDOZ?
zGj%shN+h?ZYYGlqX1>0<2}EpHj$)SScyWqK5hI2a2mk`t7p#z3vNS3t5j2-nOs~WK
za#VU!l%VgYH)e6jQIaA6bD4Dc#R^n_(U-kEld-d3m(|i@K*#T0*j+>^H(&awLDJV5
zAr=r6goJIpY0?>v3p)vvo$KxbH`Gcf)vp`tZvuV5ZEq;R%q$5ly8nA2Crpybp0_va
zPX3VZ%I{A9{t@=@;X_v7Ye69Z_(%L#IAzzL#n6J&Kl32)Sf;*w+XAQlrPRnu@!<0B
z$Wmp}yY_amU+L`uY?`fcxQ{A<&@-Bwk+HC_=#+CKfBM|+F^wmm!5e^ZfcoMLz$C`_
z7yxa(`{4~hP0)J_=P0ErQ4wQX8Asc4RYocETUvF6QOnKZI5_|@3)NFFfrCWAL-jOc
zWi;PRtjxH8%h41IpJ|rDVR`3zvoq<%)a&9m4~+Y+D0+4dPj+weI9s*@wX-%;SEW+q
z1&kmjG1s@r3X2MNZ9TOl0UucaB5s#w?7+^&L8nfADI-sp=62GL=<R?cz$PK_4GVh!
zDh232I8d;0=vDS2<^#va)gTwQPgeLS6lzi8F>1)j_j>>^bpyuW#}9F(TvtHAv}(oA
zM@Nq$X$^YXgY(oH+))KC`v1yN^f^y&%TdV#wTm6N*poB&2ZV%zaE8Xl%fCAfd@Cwm
zjE*`R_QW%;u|pqhwD<dUz3aT(P-X!EpX*alMK0Ip>Y!=><JVlMJyq?xixJ0Sl<Bt5
z@rB0;gMxy~d2`%EL{cNwy}#DUB7{t!cd2VugNPFyxYG5Jra!y8(mZ7>Y;3p0x$aI*
zPcQ5Qya-s)6s08jm_Q*`*d(W14DD7DFc@LbG8FvY+p86;vMvCUm^p$f7?wq%l%pU-
zKX#?NySvNhb#@D&6++F(P>_%g3P(sX4A_lV09)T!S&2=QR%)CRUaLYQT46qcDE{sT
z{XM<>-~A2+bAo;WPsme~eBxd2y88~;tu%!k^%8w_c*T*)ik<1*H?1G}0iy&d=T(N&
zDlQlCyFd(Eju(dmPYbPrP<bV>Y)+8zV0zdWZigEc8Zw#EaV3?NX}0sJu?d>MZp(>_
z-{<Go0mlild~G>9uukc)O==p(k7-sZC`1qDPxrHcSyQoLl(mwo5^?MdrwoD=tX&tP
zSZWxjq}??&^-y)JhnUwH30@EQ?Fcme1s{jsC!P#a1u738op9u=QsL;x@q4<;!DpL|
z<ldB(odI3TFn14%PB7FDhpP*1LXQ0I&*W)qBNlIR3*%_m*gl}+%PuZCVL{LXD?!D>
zqjy7ads+n+_6?dpzzNbp*cl3)kWF6GMbY4(0p<#+aB3m)k7wUdsCQj&92Ev!{p<Gu
z#l~pO!Y}!)DW?8+AfGVX8~POLHpxcODLdNBg<bjj`-1?2+tShk6>ckH=0oE$a9oh8
z{n89L?N_djxJw%wkJsj!&?_sK)JpWb@cZOuOAII+R(M#AyCd1$77576`k0!6prjj=
zn=K04{t<&-5+tDDfB@7uR+CIevxKH=<LETu0EJ}SU5H9QjI~!Uze(}&@zH2iKmXjQ
z2_;4UwLd1wBX0Yr5blJy10ZwBe&PC%Fom~0*Cf^GdHWI9A8L&Xd+8%8Of=sc^m+Aa
z>Ps0q4ej5qU66OCR@#$Z@J_(0fJABS%t3M5;8<u45Yno5^&?=#^Qvr^8-qFk+d>N&
zSR5h_VleY$<5Cx1&CX$}J&fWU_~2CWumyznRIFE)uChE<8w6R=?d)Ke+J;y*ng8dz
z+pO7IH9P?6p~;gdZE9rNJvtIjkxzHUpkg;4E0lv}sx^9Y6LDCIk5oW9|B);p0F}-J
z>XU{f4aNYFUT#;@$&l_T^ZqhVwN&Q?F}3sStC?|F`AqHM<!?KIrVe2DENh*&B8*>f
zf^gCuU-9wk@@BR7C5yGSm}0$+H3SjRC^r*%IkR+|yuWbSJ(;l~jj+~CMFP0})oMys
zI`-F>)Um`D9`Dr4sP;j@H6O_hj8MdaC0>stzGTA%G4^21pt{Ct37TFU8u^b<Sb@`P
zes{Yo!Yi>iQB%G$pRu=hKbCha4pCozeVf2pk%%R5!GS<W(0zPvdkd@MQO;XD)EhH@
zngRk|Lm9S%{>Oe})CtnNP@Quku-Wt~DsGCN4RhWJ?LbeD*Bv|N+Gh;cI(4a)8PopF
z@?rM$<$$A%3AXGFv{hiW5)VZ6CFk}yVz@`h_NL{Q2|~46K2BgY;W<C5Sy*;v$m!yO
zK7Y1>_dX%vr@W0Yw&a2BogM#(p-{)w{;1tWc1=R(wLxybdmBB#$r3z&^H=o4brl{R
zYBaF3Y1KK?P7vXJ_;8EWY>-AYl=LHz1xGsqU8P0|*_u^hqv$k$fy^gxHSTwhXnLY%
z|2YV6AcN|enZ<41?k6X2=JUR|Pn7Usu@4lly^B*t&{4ut8GtFs5b~!&aEel0K@1w@
z;S^$5`p}~&Xul+%x3C(`XWtmBo8R^hazBhOcG}?4sLTfmn_i*3QMo|HVQW&?otwT=
zyG|Cm(K28PgNt_emZUhWCWXVEh@}7J-JwK>E98gK)|^5J2}*jvVy*$*u<g^F+wrsK
zB1J^p_BWt&*PCyNlSt;ZeS;4rp{>oxJ04&DFX&BKA*DjT2Ramsy;ih9<Ir?!Gyupg
zY&<-wsjD@qxkfLboj+u)Y}xQ1Z%#Zcx0(AGh~M|zVfhIjlTJeZVcetw1VowfrR-um
zBbVFWb6HsdIO#*1Mr$bN(4+yqkMh;~vK`UfLKUUnXawc}I*3FFz6jnb+&Y(J!;#zq
zHq(BF9u5{7<y?jc>b~Et0eOyFll~b}D?@cIC`o*7k@;hD^=`f<eHVcHm}T}Z699L<
z&J4N-?eowHAtJnCyQ^z!&6(q#vzhdMnQy+S3kS8|#{AP~|H|ueo(kjg<#{CTYmm(k
zHaLSIg#s~;K5Wj;>tdY>QjAjeug|F#8KNt_FFM00sJFK@*&Ev-?FM}O_-13YpmZy_
z@nWxwDK;TtalLjauMe7Vqq76MAkr820q$?kdWC~Lw~;~CXuq`Ho!o?>I`+4g<$cKm
zr0sN3WjZjQ@KCeCbdkaK1AqkZB4Geln`$Onfr(igFCl<1W&s>NTHuf&j5@P55l^dV
zEE;;{8%*T#;K2jgm0rg15jrQQ8OhxR${a2Ab0V^*{=kuN+PIruoWXwBg22&-7a6z%
zG1~=OiGfR>>4~iYUE?D*)2B7|8TI(t>Sd$QfuXt_7r<=|M8T>D1emn2k?sdg5HKS1
z{V6XbETj~F{-h&=OsPLnx&-bF)ym5u6hL%9*tG&o1d;w^V)6Cs*YNV6zxyB0Z}Npg
zOGen*$pk{M!3>Wo^cFuLhV7h5uiIMefq>Gf|8u>G5BZlD1UGKCy;c08B9%OKpd2pG
zU8v-e>Z@x=(lo0YX}zoR89_(TU+MksxDnk?w>34k7I>}mxfr!=qO1cJn^J{}0<h@h
z?Ck!72PrY<=-=^ia9V+dU+qsx5EaM*(opZm=K;cd8EP6DgSpBmn55G^&F?*aBsV<<
zNmF9iNg+?j|CzAx2Zy6g)Zn7|)$w~wMdx60p_;Kik0}hK`33+JEDf7eD@UCxX{k>L
z`0F|078`YjJC$2)q{j&S1n2_xlv`M#a&;&mu!3rEpVj2q0_>gimy;nA-(hH@jDC*G
z7fxqw<UsX(RbgIX>u_Fwn-uEd=7b_5$x(;~8Ej1^YG{{b(mFVxiw2+hLSAtLHtq6^
zd-rH-WrhkYU*EdBzu++*xQu272a`Y-0{wCNs?+{*Pa41|&x?~K&btfe(80fz%t+O!
zh$n2&8Dbs~hQ?(9&INj?_jJnUt4sIn0esLZq;tXTA2}g}`rbA^9veX|_cJ!T5tzkz
zaGsPntYoGO*%|0ZUR>-y1~7`iQtTG%SK1n>5T@Kt>#M4Ax@H5ZB<Ohgzou&*a`A@B
z@vJSjq5C}3;@Tg<i-S6{J$ra!$cM<nW<%|zU=99~xH3>Q_q?HkzbVtx4TZzfmV%D%
z(`*9?pk|{%1IPuNvki%OjFan5Vwu>Kk_N`ce*R*6b&hFiX>lA@gm2%zHSCIJ+-gC6
z|7(8!ReKNtyhgQX(U_w&TNos0q$K`BsWTrh;7dEEH1{c8fKH5LQ1=7T3*L<%bdFGP
zz2vL!Q^V$UM)<UUUnC5~FUrtw`{~|=OGwxP?1t$?=?jpe8qey_4ilamv<qUA&2~XW
zht{Gyb{Abm<<xYxz6W1dvC5j_XLJRm&nM9MK;~$=<cLZWJKmqN2{fA;r44S(9j1p(
zCgP|zFf?ra)%*f97!oANmy`?)kva_rylEpqUVy6#$f}6VF>u7(1eo?SivHeqaA1EU
zoUMFjP(l0kXb!={+dm>YJ^^p}fQ$_8`1Yv6H4`{GNcj(BkI({`fa!~-mb)0-iZ!jB
zv7Aqytg=Bkr`79@<N#bC@^BztLAtqePpw9Ij@gjP!4~g9Lf`pr2M40Qne;m98yM68
zZlG7SZX0Czj-PA;R7_FRv#(%^&ev(c@fAe$26oO#VCE<&zcez{h5%Bpv8VSs<6<!s
zmxHdauQxH_k%0GE6DeOlJ>*~Mfml<po}i+krAoy-GmDjc^eL3=eK^&**%LcyHg>Q<
zNQ;aA!FN#{ih@)Hol#<LS%|~$ADs;zdcbE}aB87Z0s%klvLAigpCSZ#w#;mZj>mCT
z@co^h1Cjvnn6cQUN|jQx0(l;R;I9GK0c3swT>I77O3X8>9uV+=V{;pPlucgs@>(@T
zPy|3JdS9}D!9wc;E-s}EhZUW(klRm#<}-hP-DWmuw_P93VUvD}A)%#ZnH&8v!&w?f
z-28UdQe53!xa-dN__&hR_sCV#jG%z^1kjm40iys$8M2<loE;me7O^Zw93bzswm#kQ
z2M$puHZJaUqbKFr0YP{>YDJM!PAT*QZvjGqbff=VI|WD^34ipvyG`9aJ+J8wJ(BDe
zgoVA9K^e*{=x?=vcQ&IB?<Hv0Wne^D)V;mEftmZGE63gM3t+3nam_P$Hc?%D$!I|s
zA3C!ir~7l(6ZvYpyyooigFoJ&$x9+O=M!#TvFB-O`abp{BL~NFLS0j~65Zz3)+tCE
zPLXghAU=7r&_2shC~LiqP4xh@9OS=Li;^t9P*gw_eFZ{+Vujq%#uyWT@Q)0316e?R
zuzFv(!fWjHJnJvVBO>}<@7A=i=BBx59j#Kp^XEI(y;$bOnDn&q#^1|5d7I-UVbEpS
z-0xCjGlIJSq4f(A5`zw(>YUwQAH4jUl!ddT<5~a$qhbu#OUb6ofhQ3F)MF9ttLw<g
z?P;j=&`Ot-cmGv&>=j&?au2{i97x6);pnJQ2Cr%|mF$;~2t0P3e{DSth<AUXjTO9i
znY*>aAFOB80hs}<eU6{}@L^i(gc~176a$^@V`c^NDNo=~kO8iCPGT|_+(tnO0|164
z1zsQ{P-&r6QQUd><ij>M7Z<dEeQ9Ey$<3E?Iob>1uHlLkr5qaEBN7k62np>W=rrt&
zqTsS9(rrq&oo@lFx$YAR3Yb{HBH?iy@!)*+RQkovoDWxqWR%Q^Q-1#5K=wc==n_&I
zyk~OYJy=@mT9J-p;hk|_yea}qivj=|BF@4=ix7wz;13iUJx`1HslodQB?)XM?K{io
zOyNbq<3UmkW;F@1I5-=AW(Nv9SB8|PVud+lq0Xh$V!^S(;%tK^cu@J3S1yyd9S}Vs
z_-F^Wu<_sXqcJ{t^6n-IrtRi9v-NDf#LJgRAmC*y!QbXVK|vrW2<0f*|N6%LUX3tC
z1_<k~a>*e;v*Cd(3u%LymG%4d^gED_5j}C9Dzy#8*#Uwu^uBa@0*uyI@GH7^{+hQ7
z2IymVysiB+YG_W-S#KO5bq~0exScmymY2<Z+$B@1Y;K<Hc4$a{Srts=xo0+8&jEfL
zdJ^7s=j&<Upd5}1QBW|y46O#IYZPQk#YBS|83Y!>%vXXl&#SBYrz)+|V0^-`Gu#&d
z<xqu%Do{d#hUwwvBi>)lhN8=@rUF7p>V|47C?G$jiUyN4*4;ppPZ2Z%cZ7(k>D>%T
zbw%J`BqM2pYie#cH@|Y+{!+RaGx)x>ry{~bQbyy?(NQaiyhKDq4Mz9<Z2tUe1_2Jh
z>33RhEAw{YnVBl^o=ODbZT(2#6acu?GUC*Q?~y<F6G7yGVGy{kv1;mNI18X@m@UWU
zxzQLa-o1PGh|Bgd$ioOPR=xM7ACw&yy?3k$99zqKMmE4B^?c!$LgbdkcA3SMWNKi%
zc=^3Oi;gRN!A2(%Xl&tGIXec8J#;{ApcN6Ytx^Mq3IKL-Z@EVd;4%<{VJbT&cfsFk
zHk4^lDw`ug&(D8Mt6DgXPwi(lTOSA57@M^4e4ABI4XlPjc`60aInFl8B3)q1bO>Kw
zCYL&GXb_Xsg@a~;<bJT)2Q7lF%Um=-<o1hG)^KlC_6I~nUEpzpTRB*6rpS#ZqX@y0
z2^}T)%lz3bM&FpICIKw8zc|5#*gyt(Jry7TEUD?_43dGqQB<f##rhh@$u*bLIt^IW
zsh-Q93m}0lv<*-XxCN0=HBm|V>#@W-3f;906QjYnadb?}E_Pt=qdRx5RCsaf90p}w
z@4KHJq~@I?4<-e0DHwqTvE)s25Ke<^1oP`CN#C-4SNo+i$Eq~RsNBI41J0|HMb5u_
zGvatIxH+Ipn?N@SkhySxox@5axTpx9h|?N;&Eku@;#QKXVktRFbaya`#Q`@#M5I`Z
zH4<~#hTzgy$^#+*UOvK!gsG@bA`59%%F&T65U&T(PYma)t8R?-#WFvvtUPjco4NU`
z#dipnHc+T-QZUyg4-VBEDE{UWHpGr=5bP(XFEXuX`mPzpf*!qcb>)I0eX+cUzdI*i
z{N|PS^`#3qnc7MWI<MVE3==_C^07ZZx(DdWtCD0j`*qW2Monib8N!U+(uCg#KDEqP
z1|BC0MjDkgi|K}q=3Hf;=a9j3l_a<Vm512lC)3UDBsL{Bf*Tw_(h79i<)#DCs1LP%
zgfDGKp*B)Idlur4<z+fuEkc+s-B?^K57(q8mN{Z*lN8wZaARb5w;7<y^a+^;WtoVH
zb4x77oMBE)Hne!E!h#5NxD=U$KF%vn7M4^H*g#?sHF5hezcG}B1>Kq6`Y<!lRbQ=V
zY_Q5e#RN;ol&#}tbpG5Dq;eRFdIFL04O)YVs=i>5N&qmG6c>Me)BFS^NQ1-mHh|wB
ze9=`+y-J6ss*o{=$M5;Jd}J}QjODVsg^XMzPZ#xwDB&|ma*|PWfk24@VcqE35)A4x
zbpJAIgGSFeIkUhU4A(FI&mUX3lQbYCLw|tq+vh6hDP(`%roz8->sGP(2;H4~gpsL&
zxn&bI5N*xxQOdk8-N7*QscgUA@UqyeCrzx;adSM#X+ukqy^ZGu7ck?%b^g9M<qaa9
zNQTaW*`!y&t3y%|EDYfLd`m3geVd+srk*!ADCnz1#5zcKcfrq*5#jM^M+n@&va*R>
zj;oKM5k6Z!ZG(FYo>59(XX2L0vyB8?@XSAVT7Lu_*sZ7CO~u8<=}I{)kOXmI2Ub^U
zlK8#4!3zKO10((Z68(=-Bch5*)GmmySdd30jSl8~r?3G@f|KnXBt38~L*9ezMCn93
zH5r{{&|%GHF-i!jp2J4x`(VcYwT^bm6R>Rn`4uMM^9lwG0A1dNYC1oXhYx0T<gal3
zFv$47L^En;p5FfnE-b{<0?Z-6&U>BT_8F3pVxyw+vtRnT`>Xk;M!9L%$!;%#o>m?^
z_?sgGM(HX9c`&M#<W+tB_B<E{-rtcq{6e!eG5(a{7pSbm>JMJPmI9HELChsjef)3^
z3*@WmnVCm?uFs!6d&uRo{S<_^D|32QZi7_K%KW810sOB@q6Xk80HTskDO-9VwM~Gi
zMImnlR@~OL@k}gaa}i`ls1TodoCu%8@dW#mL62&3@@E#bZiH_D(0Ouuu%>*zT0jwI
zn(v2Oi%`<Q4h8BN`I>776lgR&25Imi=jb+}-bTZbbWhve)_x4Wc}erQCJ1TRADGMG
z1tJ%&$rG@py(9Cvc%4>6!HwZ8&Bn*~1w;&lJq$!(R*O-xoM&G@|LLd@57U=m9d_&i
zj~}#u!=2@OExr#Mdjb9dZF*R=qt%2DcMGw=9G*X%l+cBMYu*%eJdsbHwOYAGUD3qc
zsmT(uPcEM`GwZ>JgGm@)S67ahBmqKs0f)(;#^V^zYI4{FD52r})0<P3ByT!Ggn%LQ
zh5pN{#FZ8Y4Uo#<*H?;Qh;A-1P+gsJxeG?34889^EvG8UMSSu=4?;xK)+A-Oa5Aq8
zZAYjsqUVOj>r8hg1r9g(&b|0j%L!4COT@rv8}RXNM|&o*#pvc&vCu0V2DKAi&2@yk
zM>!AEa<V)jkr(Ur*Ow2#tN>)H*Ii6Z*`u)(bhF7sB3xXAedI2NXUD~9SNY^SLY{JJ
zJiKTIjr8*wD`39B7bukR$z)^nk|%C_xWR)6gcF$E;rU0?VKDQS^CE%@0%g;vizD;2
z0Swrk*{^Q`>Gen^;p)0?E!pR)6UIG3;YNa<QFfnr;r!41ca%)o#Ge3Gz}l7qQ$XNl
zC4$ivc)xhSJycFBAlbYF?gV%Mkh(6xxI+Om8$j^|f`22Et^;Z%Xew-tjXEIFM*y&U
zW1&e(M8peJXyO4M7=OTf1(oFYXu$>u>F;A>A5B&|>37G{=3IF=>@KJypcII0po5}n
zPRVgHpQ;>JY7`g)$ijQ}1%w1Q=*FMI_>qiq=5>adi*-CMVh#oB`1dlCJ~i+l!*J`^
z`r-MJ(-WVocimrV#Ph~vLcrJ0Y&EGiTI7-jt}3t||Anl57v?R*#h+8lt^3%hYpYe;
zQo%{<%{8)`xhI3h%j0M&7)2KaUconmyuV?cP$m7~B7)()G+!iL4MfKTP8;LPvwOfM
z;X|#>$)N>apOQ)x)PGv|DQG;TrKROzB!bSUXE0-fpVmI-0X}{QD69xhet8*>CJMF8
z1#Dt|8Af;DKp#Aqm(WB3`!+W87(oPqrn49OsLt_dsHnyu=K#C>5#$^_ljG|tb1IkA
z5rnqRlFkd~+jLcXqF(gc+?1z;rss-oI7bmhped_6u}*jc{N;ULhb}PchQU3N;bb9}
zh$}D7Rm22?N$7zXbKZL{AaN*An^5*9tO!a=vq2!7r3XS)riO-&*=ClH_NyQTcoU6a
z5;*7)^E*HW+b}!_Q(NFEc?wT~bP2#q3V_!tFxKFMFgo4q(IClWfh!2!5g?*Uy)V&3
zLz9F-2LRI#fus=|SW93`L!s2rtoI9dZ=;trLJ);(W5#&%Db5y{+*n*~v7lJB9c`gR
zR31rd?d>zdtdH>wj|(W0;vhWk{;8ITW|&-ylG0iTS1{X)(E}eU^aj2NeGB^b!38|v
zjP(rDlMhosLJ%3##7u~dg{J0u;;eWlE>3-t%+nJbNTA&U;Y>s$|MeSnsJf=+{_djK
z#2Xz`5%4x;zfQXYRZ-mh@BqB-u>H{KIsJ%bW|fMu7LRZvg|~n)nf-0;7Fmhy?GDqy
z-$P4pRg13LpgE6w-mJcHo9#6`20G7sj_bo;5F-NahtAMuD3t$(28bRwQ|XvzjE`82
zF<?YsK$1g7Ggaey;}0wW<bGdZc-#*O)3>^)B~0Vic7$ED3$;Idh^`6?8}M1jstpUf
z5k<$}Q%Hu5-5o>_0W{6+26r#FjUU&8$C|6X0#&h^Fb$<zq|@AH)F^7P93hn=|6EV7
z<>y`e7}R8GHZ&}(?`=jmKp9F`%qpLW;I#`_1hzAxl1_S!<0A-(M#I^<YIV+x;9&2U
zeD;3gs7NA$3WhqE9hOts5^W8vla2}^uPYo@jD!2Gr3zvnQD$ZuyL&BuwLsNAGAm>K
ztU%CnvitpGu(J1Pum^Y;{4hy!hwe4B`A99;qXEkTP#KDQm8_pX5G38@W)2872N0>;
z*~Qr*J!C@tvx6EQw?(xA4MsrYrLMcgVB2Avyi+3NU#L`|0lv)g{W|meQd%kn8lcyq
zeD@2^00;eK{eelTaZlmUJCN%rm%HOYD^+!L?(=bnAv@@XhEIu5yd+~?Q!edxAazj5
zUIf&+yclotxi*=phAL+QF18PTe&(06g5Rz~n@G59kzlpIn$sMecL>?Nzp50}TFx~-
z5O)=-G3mnumL_#*5d{T{R0Kp^u((;2-%Euw@!dbPt#1dlBh<pVa6`bXb}M=G6U?X)
zr-_BOLp=aDQ2(e=Q?8}DCYU!ISvUwFGhCcDDL{(`_HGb&&UN+lQuutXB3pa|_vXLz
zLjUQM^ok6o1i@&GS)jwp!Qltc#%_0k0N(R(g0u#3^V8?gKfg{B4FjWF!K~&-VHn1j
zPUMLKs}~rEr`WdIFR`h!NCA=q5+H>jB<JG#2z}xjn-DPN;HMx!%%Nd;<_!$k0xbxN
zumP~(IlXDeY5h<UUn(i#K(Zh0td)R_4tU6Qw?&|52lvs*9hen3*&TA?$3y$Iv2pul
zPrMV<53s0(^|G$M4-L&y;f((H>61PnKv0cuaB^~Ll%IIcEy46#1gnYca&KZ@#W~t;
z6Ab)bd4E4rS@Ac!2|kWwn0YL=Nv21^+RoId(9oUU;3(kcasECx7YYU$Q%ANhU>}8O
z09Gy5WoI^nE^xL(IEF!8utcBIsdDrCB#)hDwTGE^(Zwlxsm0iCdcmqA<NRk+sr6B-
z4}vM*I#wEW>{k`Q8Pb<@YF6-(AMB8GjU+W*=Xd<E$T9&W>w3<DjSLJ2!O}F?W_0j{
z3Kx(Dpz<j)X~qx|5h*sDVNKU8HUnPI(WuDmWkpiTmM4I@Sg2Hq3;*!Zf(0sz^YdZ3
z4DKWk8=SWY;ZR^?O3H+>0<`|mOuESR4Ni*k2d82q;CcZd{{#HLFi_J!q2hWLIj)>M
z$@vVdS-?#KxucOLpIu`+e*-3B&YMw6sgzb*AZ61k=jP9DgSp#3d5+@Ala>fV%35P{
zbIBZqQ9k$IdAsZgyaulH8n^vSya>u<6}s;ru0mUpE)vMpR3}Hz!Et0ZiR}fd0639l
z%QmQEVq#1bz;8|KAKG`UE8NiVf*HC7*Ifld-Nkt!GWR3Pj$GwHm_s85^Su{uQ5c07
z06L$v1g%wFU{%0O<j51Y;-juP^$?Qo@%4s{fHlMnX!Zlyy!hfgAAbWJ$@!U5wLJ|z
z2)Nos!JgvONZ<)_K{aeYbkm!GvY3Dupv?v<I#7pt55jh_Ezm?MPX%54M9=4>f2B@$
zePPKd6!whG9QW+}oY^KxN?`*rb<z!be;%(EfWSboT0OU0XdQ0Hd!i1d3jHOJqleMt
zF4pvqQ(|CFbkn^n46OU9sZZFqdvAjspPEeIP6nO-Y^?({^|H{EFlw$>;-bL~((LYG
z9B=UOA1(5NYgedM1LZ*RIXnBv*<nQ2j2Au3e*E$$BSb=t2#l1Z%#tG;(#$N!BPDGI
zw*-_E*;3tyaLwabI|%ryQLHA}eu2+MI-V^+vx*Ni^gUJGEQK5d95XgH25cxnwCj74
z$>)asNd)X|htbX5-55v)1`ivgW2Ftv%|A(INbX|C_&}wl1a?)K`=GLQ36d%d1AtFj
z#+)fiAK`8h33LXaCA3k{1~zxaw05i<9xlEL$fR8Ejsn2d$;9t!<*P~jW13ZISdz2=
z+dZHdiSr}vt3x*^^DxrnfSBh}DOmrr-}hcV&j5zfS($VjTPG$?6VB=9ntYPs5P^n~
z&XhjmR*}0nzIBJnQ4_e;S2hILfv|-^y;aPY)L@K+zeJ_9uH5d)^hwL4uVKe1^?il&
z<^U#2HbP{#6Q&GEK%j#pu~63VSP@~l1E=EZA<5*`<#uaFp6OWcT0|c&_u-rA>J)@~
zd2MjiT{4CPnt{T?1cVeacFYg6Odwz&=25|s1d!uzuh1;@<6rDZ6QxFJz@uT1@UV%9
zJwk?A*O0GY9|OqAf(v`|8#qA@qvt_*leoS<JCte&?rU^Ed<Xn{iTQ~B`iMpTYm0-!
z4SX0WXIAFM?hw`lf6tVn){Pspt42592?N=g0r(O;1Ow&|ZbM)Utsg1~W+=>WHwKFa
zdtYpdr?--^!TSMTmXbpq^7HRtho%(<$-^!MJoq##Ey1Q2014-HjlB`r=4o{5U2|tQ
z#gTDqVceKsGMb??PqhysVd|W}y`2gm4vaYDR6SW=T$DK7!(_7@S4v|ZfJqP17kfti
zU;D0g(m&|53&R1)85%z2;5bW|xZR(lC<ol<PjHWBoN3@c`vN8!4fGs^6_D_t+#CcZ
zyh@0VA8ho(2XG|i>KaQrm_Y)Rv6`CN9(+4Mlgab5U6`?lFT+9j?jStCH8IqkzzG8Z
z)WDOZyhd&SVufBMU;KU1%a1lNbw#FK>o~u==<mKEdAPfq?zmP8QL0M4vDNexeEz_8
zXDj98wi~3vfB*tfqM-OI84YyBuEM+^a>eZEBTDn>YHoyurOiliu(>oI+6TkmKdy+m
zOXWP~+5UiAW4Xs6#i;8@DgR_if*GV-a(@00a2Bs~X;1DR)c52liUAeK4&*eo&1^jw
z(Skt#M-0FLlaX4neFy_0ESBTX`Moc)qc%{(umf!F3wU4r6%(_Kt_CF=zDXw?*gGJ4
z!2XEZfU^%)gd6hZrl`Rk!hK)3Wx;xq4b*CG>8jC`0Q`jnuJGjeuJm|-0Yh1Rlu%<~
z5UXH-9fEX!xkeuRHX2pV!}cwaOR?Mz*f59)#@NfezOvGvU7)&8)H*S`>||PJVG2Pf
z&+4{k3izlMK+MpA4yf_p`}#s5UxrioJ0CCOKH-LvIbLZ+1f~)@m$A#I%@D#59-a7s
z3kBreDA?VDQmR=HWk>R^!Nd_Kx*-hyo$)#s>K7hIPlf!36D#s#oKolKQ41Q&c?#($
z(Qs&5R|lGkfzt}Eb<%BcZwB8dV&GWEC7;{XmJ`t=fqQ*!I<i(Q6d4#$RuIPCufCHF
z#-;aO0ZFvddM18d-FdFmZQmFePnd7>ik}txSR_I00~8o1j7>k~;&QSeR{S~Q#EMI&
zlqpR>1TII(0PKv38pSH9dJtf1Ty{9X55~@ecJCLMa_W7qL&$~v(s@E5nxViU9dNK7
z`v4MvLN2qWrq}$=m)rdS8{{zAG{?E4KI`e<3<WTb57-wO95sfgdm=pIu^fCaY(Q8u
zhbdk0jZrfJi7lAuJ2^e2EQok0s0-$zPXPhUFzBvpats#%2P$DEn9E<bgb2KFKUe_^
z2>730Q4=8S_F%jLh>RFxCDcX?tF#5K45mvw+}u3iWTI9UIk-NK7?~qX^O4*fy$1u!
z-Ld4fvm?|n@oyHnIR&}*WG$-^NWhaZ>*;IdRAE{_Oqtcu1_$a(rwvgtF;-|*p--TN
zG~T<NP;C%&|LpU)6Xf+SAk^5lUrFUae+ol3!hrkCrmNisSEkC>#G!JY9F7I>#N}68
zO}WFnE-tW;fpY=Oq0)9P+dEBtRBUXqFso%w8KG0_z-lZ_!{av`rS|nD`PGTRJ($sa
zv(TCh13~9wD@{;>VGNKY<GeIGn+D<524)cyMTbv)c$)(TNY2i<Fcb83wkbODBbY%T
z7lYe1)#KP3>cp2oe5TBaOT=^{+b!}B{Fh}LwjdwCcYlyU>jA<&f6sP~LJlJI!ABvT
zcs4~Hae$a<$m+YS`ynd|8B`sUsmKE;fWNF~&ZuO*NSnEAL;D1k7X?P=vtS(>ozVLi
z3MPJ{RR?irp=!>1@ptD2q0LyN3MleDeF9ji;DYN;y6jM``$7!}ADk}sK=Uw#_};nG
zxC90qR}YVcmE(`uKkmXu$CVjoKoo+gRZ>PTx7@AH_LBgrHe_Y+vKbz(Ta8ayRKDQ?
z>mwKx9uN?8`rX_9-KF|6ZDSRxFk-g;3!mEuApGS44nnsW@cHv&$l?hHcVsl5X;r@j
zeHz>Yx53LdxL)Ba9s)i)PcJWEfiPdadIj}O9~{Xr&{bSonktjP0Xm#NG{NEQ769UT
z?U-yK`&L(XQv;vD=dmp2=!gSeKk)KEA`6dUx&*HP(55e95iMty>I=`+?=aU-t5r<{
zmi3OoL6)|$YA|W1iQWSjTqUTJLOUIJnYkZpYiki-KLCy!@K42aIGBOSgc?+BF6CS$
zAjqQBG`x8{HXyk|dVgTD;#O{TeqDE?t)pXqOxMJ2swSXI^%{_^fswu>_pl*l%07>L
z%C8Vf5j9V~<;+aB%aVJrsNypE<V{cTy%4~(1*p+RYlHW6wR^+0Y~~tM<dQ$cwSf$u
z0j|@WS{)69t!T2m1Sn!)ucN7~!smCcaj3J%0L8Gtpv=Jf3v@gNaX^;<pe4?u(ZWU%
ziX%)3fMn6~eUU0G3<jzBupzxcuN3ayW&iufD`DYV2oD&-ZQ?;e{4h=0{d+uo<ZP21
zSG`7x{8Je;Wx6z&R|j)<7`-YfbXWbwdaN)3dN463Bct8q4c~ZhM-i@wO400<MCeqV
z%iGP#ihE)m*1A@o;VW#wFA*5nbt|6D>}S%8x(c2ma`-+s<vbN;nD4@=5LHwbrl6pJ
zfj-tWF}YN+(BUn-T}GhJ0Gq%V6%_{u9<&MoDuI%}9&>pDDaRNp+wZOzxGJ~Dr&Pt=
zEl2Zd0r(mL%_lMTXSb&Bpfk;F_4wn@OyKM}GIL6pPn&G9qBMF8D&iYTN*Gjg+(_}I
z8hHM%?!G&m>wo`S-%d+QDWQ-GNysi`WRDO^A|z#25~a+(ZDfVa?2%+;WUGW^Z;=t%
zyX^UUysF<hr|Y_Z=f3Xyy8pV*b)D-v-|L+7@m{aj>-l`F=SKfylW)w^%TT7hP0Uxu
z!TPYfRETBpye=G)s2rPRrxhVc<pI)yh5<{;MYob;;VBfRa2FPJm+qJuep49oq?BR-
zzOZw-HY?B`YX!2{BM0w*#w#SlNJ7+^sgc0`A%ESbO@?T*UunN_^YEY|hP?WhBz!00
z^4aXjU=FB@&v)!3_;#0N2#DJs-%2D;C@GmVr*7xs`msDYy{J7kY-zBxpa-m!4R|~M
zmFBHSvniXJpG6o~Z<WtCAV#&@->J+;=ZSEOn5gOK{sv~odcse+CH*;n1r;6LyUs$(
zYf!mk7t~BTUuYy^{V(!ht~2>ElW2~?)KDz(MFor4zP>rE70<K*ay^oXH#Rmi=jo*P
z^yMB(4;DolhnX<u6r*L&fKt0Xyu3fbPLQF+y`rcikJ(Orb6K2#-4BQ;y_uOU3~_J>
z$DpVQv1&&J;Q{pzT43qXwtGZ*29yu(IhbTW28*l#h2q1pe7?0=ELlL%Fe;W^Ky9pG
zXQD<52bWt&XXnWP?L#Kb=D7WVlwJTD$;Q=}A(ABuD)_rL&HmVN!sZybDNrf<7S(QJ
z1B1d-jShZSDXc>j*&sE}E{&+cF{d&&XW9L!09-5}LbjzP2k<QafH5^{nrpM1--Dw#
zvWdGhTsjV_xDlhu@yW?>%U&8Z3Xg6Mr&{w?-CMI6Dmw4uc1$0phx@7{Hqair)6szx
z!671mMmrhws_|vLDU|dTZVZ7SG1melGys?Au#l|eEJ%NQVTKvUS5adl3=5@IagE~i
zLRUS9x(xtw?h?rgQ3`Ar`yM5Rf*C6Pv)<ex3!O-<DhiXd{hXwKWVCG+_<t6l(30rn
z#cW3!wZh2@9Mu&{zpCRB8@mo=WpOpnm4@-bC>F}|W@d_-n*Ug{IasCq5^&CLl(LYp
z6@i=r2n$$zzfQAo>>-?(tN8dVPbifGl-kM=zmK1vR!=W6lBX0f5TII^GsVH;8`ngx
z!fON6m2A;<KqFz{9uOE9s>EVX)1!N<V;8eTV-p<^z*|zbfp4RA(QK#&-?`X}Mwbr)
z9GQ)L5ZpAk0geH}UWZAZ!SMpA7mC#o7?L_rJMgQ<{Zdq`hD(`1cuk}n=-(X8ixR$d
z6;I=A_=<8K$h5~b86+(V5TOrV`3F=>M7{R;c5qvkwa+JGVm5>)8D;@@mr^_Q28;E*
z(*yOv=Q3Yg!U)e0y=~78D58)jbU03fCFgjM;IPp5o_f2z0Z_N_UHVj+<H#h39=5+N
zR}7?9^eOhiO6M?zsP{1U;`qh4a1R7~*hyNR3m*<64kpIJOc0n8>gv~5TY1Hgqh15~
z!T^dlB=rSz*qf^MWp=3F;1zQ<DBgr@tH_HbuVHhbP1BM_6OH058fP-dG}Wxsa<;B;
zU>ab4-(y_?r6kg8KlohZwS^2TgO%X*$@fspSJRP#PM{o~uGv9u71vGO4r6b3!iGnl
zCb}FnWD+QWu>RoDQDZlK&EZpxp3nsbd87(```*1CT9N01SAzPQc)qrFfSSPhMhpK#
z7@A_xmaaM@Er)GxakrG0_rG|+1s_Ctq#rFbO=G3peEYRh52I@6MBNvXDhh7qNnncx
z1eHoai(r|J03Jo|1rlJKPs&q^SWixG-mtZ`O%qC=TX#ks8WEyKtc#6+bfQWzjz4*F
z7P}NMVd=`?mHD5QY-h%FSydRpx|_dzmOC>)4<XNb)5eDOX1(!tq;@FcE<Wcwiczy=
zb@VkUacG~Ck-E=kJ9UbjI-Z`YHP@8Eei67xMn(qw`uLDPlc%TC;8ZyPZ7Rs%<}Spk
zP-E93vPPKoydE}C;81)3TO!UNV4PG846F9-5=85}6Z)pRKBsjd4)`0Qfn&!K@O7@k
zPAP*|2f;lMuk|=s-@lhY2QM!yQi?>7Jp1_?d?BxmROTfMCL6XY1)WR1P)K81H^cln
zF&jo{s22hA1b(Zy@*u+C41#9R_G-jB{cwV&3Y@thw*9@32Lh_;{8smz$KWAs&gwWQ
zzC)c%k$zUQ>a>gf5cmyG1(wna2C6Fn5=4VUOEszWgk%C3uNo{HCm`8E8UQt*jOu1~
zO6;*<m^ypXQJ+`9`GvBIa?##O>n!Y$(m#5xqzdYHIO5<&3+#*+3eqj$RYR{ByH7R0
znT8iy&SYcHo<KRIi(H$Zy3&^K$lWsU#1DTBHo-L`BO{<HBnFMB;_6L%DwlnRTZ9hX
z8Z!pNTL{s{<0ntVqtx`TUOf(o>7x&aQ2w%LAWp8=cq*@r8b>M@2w_iK<%2a2>T?U#
znDd=GXXJbTHZ1e&AKkwGrrx<|*rzJX{JlP-L4*816r2X)>Zquw-h$q0O445mV{`<P
z^nfxR?~UQ;zjA^fYYsxHaUw$#TW;|ZL{S7M>=A$vVdpXxCI$ou&ueP$F%tsr@(6Th
zfr9a!{k3e+LOVssa>GJ(*C6|$m1^8s-__dXg)iz4OG$4r^>NpkR|Z<;JCR1nap;rz
zP3sOSS=&*ry;X?#Eu6JaB=n__c{e_#+$Vq>5Mtm-o4P81HwuXh-oPr@Hc+G9MVv`(
zn56GEm95udF!W**{gP{YCgLE%Ot20~j^KSnl9*X-WPWN;=)4`!jCZExawJqtCf7G(
zNlx^49mZ8BB*<b(eqeJiE-b80F|x&{_&L=?2nOL3Ub~12&8YIGH<Xa@EU0~H)`+Vo
z5n3JZT9H-uHxTu|0^a<UCU4HEO8k}<u(P=_<<BLisF{DsD8pZv1roPcRykBXCRlh_
z%kKL(W>~Hz<27)GZ9L0o)ZINic<ZdDhk)y*_B?7P6`vRTn~&V=#ts9enJ%~9JnBL~
zj!r-ZR3VH(4_#IrF%Pl$oqLj}Q7^%DDFTcY?i|GiZrNM6Xu*%p%zP;ZACI-b3bYM|
z#QwV2qdpvsRT+u|OSJ4c!FKTAiHNj|kO!jfaR<OnaD7+awd0(X!6F3}6>f&*T9AaA
zo7g0xOA88e*av&`<))6MlEb~oGy?Oq3NWH}S6WZW4N$8xPx=Zb`YlZwxw=zscEMNK
z@@B89>K42W*@$*?$#9=N5Yej>kO^c5oJBE}jPB0PoiM_8;bpFQ^b)Sy7-$G%bK_-*
zRuYDH>|W)Tj$#^qfqeU2r%w)V-(ENcHum((yDp`F<=PKp@$QwK;<FyH!ud+V0&vp0
zF}AwDnHCYXlWXFHpF7CWUEUW`GhP!qPc{ETVeE&-HsX_p6hRtQjlTZz{u)6DiXKf3
zXB$T;E-fu)BNT&(oYmsBJ~i&f*I)tLE~HmJ0|zDSl+X@lIJWP!o;D~6F7Tj#b5#d^
zAZ3`UIZZ~j(b7T;P>tjjXwF&6`6v)|@eCztiuI_8t6(!+O+3$q)6UO~=^s3oaZ)Rs
z;?gJYuV8Y}l1zFfWZxIjpZ_{&8v=-UAZOK-0IaozHwqNmE|$qf^P4_k&7xsanfxdR
zpgm^Xu(WxiQllSk(7sxukL`o?ZNLpmz(f&O6I6@uKYZ}^qrFtq<bva$`0tyWH$j_%
za*|!+Rb+!o9<a;U)1_{OE<5<(;*QtVUVBCEoZ~U`w%3sxC9Q~x=u3vhgMvrg7cO63
zn4T+%*mdN)Z-sIl<;IO+Cbjfr-M_mhYhvZPai>NS<g>sTonvE7vN*%F=1YYDKI2HQ
z02J-z5W2OIWA#6BE=&##dvo|MywkdZ-$3w+<7=OWOfT6!(+f{~R&5J?>A6KPIvP&N
zy4}vk$iA6boE9JgT!_3E=UprQ0p$dAZ97mp04jWqC;B`mduc25{rIBpJ(B$-STANh
zvI`<zp2tF_o%88-v)6x%EuOc%LAsy3EUQMW8iEq1s&Z|`o-@k(BZ-fQX0Y4zHJba$
zSZW0Y*(BW@=G92lEr;yU;^xf;hpKHKeYrzq=u)SAqk+caoVvGay&?P&%1}9ij_X~V
z7e|j<uf1XwNqNx8PFHBw<v<!m40nh+-}a+_M}i0n73>(it<5&AxCu;ORhSqoeA@&s
zYnDI+bmu-@IdnB)@J-loggOBt$Us=!>yXjzZt2Cj$=b_2=~PbO&<O@dl&`b11%iU>
z=5J(Yn|JqBFYfoLhP*^NhK>TIa|KRIkT<C^i9{O*>VZ&=IQF}ShJre&Po=W&-Yp)n
zLCZdSq^G9{Ar56B%N*EBfkz9$TCbC+T`A(QfVhl!@X37rk6IfW*Q1%cw@I60lZ?!<
zaYxgWY;6=oypwDYLs)l2lDQEDU{4u>St2GGT){VO-R8Ye;LO0lfUL$c2+lUDuUmn(
zlZ}`6sf=rY<9vxps6`jety|}i&ZdYC^us5GX`N8w=!lfFfL%O%TmT2T)cNzfv42<h
z5vTXWe*XBp2c}I)%%EEgDjBVjV1#Z!_I2axXdk6O4R!d6A=mVo$i!(!;a#J@h4a!y
zsT>7qw1xLtX!8IYp%zKHC@*1V1(U3eh_-;|g9odst4oejPk|<a-=!u@at%aPK1C%T
z9G`>gMbKO%vN>%s^Rcm3SF7H#X^TF7&(NmC!>^#FMZK#Lns_BRCg3TFk}38u@rsrW
zGs$HNHz;<4=^_wLV#R7FRue4mvw+m-)oYhS{@zJVy;8h6zG5M0w%s7nX<CpUcpY*-
znSi!RIc=S@@ACRsR(8x}jkkI1$*{lXr$=K{_YQMe?dVh_T4I0Rbeo;FD#wx#6hwh#
zJo$9RR_8t#cf8WImDqs-z(3Jd9U+^MnHhEb{kPhAzx{9V8?fS05MO37leXE98hSpV
zH=%N#D(#%Co9+(24k}y{StraX<RiBcA7))_3P?Ce2u<ePR*p?`8-CB%gXWA?@?q-d
z2l9^{zfVs$wx|i*Df3V95V3v#kaDgJxe;4%>aSZTzm!zEd_bo;0E}y?-+pnRq9^09
ziG0@jEW|6YG<<&sb;@63{2Nuwm-QS>1t4xXm$|`wWw#XeDnn@Qp}8vq-8{kY2-&_u
zD$l{s_aGHnSYe+O0xx1~KPTw{#afznob=s0-WKaW=y}AFMnbXxK8+U*&V6`>hp&HI
z>&05W?+n)>qs;>JV)0t_UFg*G?2e7+2ybSfQFWiW<-Gmit7_K8th!Va4&by!a17yS
zzNecaB_rd(T#!F%*ojC`sDc4HG$`$7rU1Z+jddabkpGg`@&KFU`{~^*A~MSy$?tr0
zi>1=kq;S&F3SOqYF~EQ5@zpQz)#)PuvtGcTsE|*#Eu5?Wy19LO=w*8I;;4<dZFw(4
zM5JgYOZ+HrPeW9K?6Qq>De`v_g~^XL$vb}WzA~g{t{vygvk$3rjMr^LW9$wNaYjV0
z+;ALmukib=Gcq#D-Jz<)YaI2MQP}G7+qdEmH_V<LZOs4()`hBM!%o2-7q)f#Ubghf
z-h5dvWoA?m?buDnR2ko-86Ps@p@BuK)LW4YlRh_e05&DKCe-Yas5JHLmGd1Ip)10d
zto^9u{vFT_KRW(?(>Ah<`XBNd_<*2l?B@h^Yfl;d`q413(`^S%_2rAO&LOSEz)YJf
zHt<vk<qob-bCV+oa+%c&X@oeqt+?<jqwkasFUJLg5+9LA71o0C2;s{nF~wtFb8Rx0
z(KzC{Bbnf9TqSf^+aQ37hWKCj1gq5h6>GpyvF+QZ$vr(iF0ZKpK|d!Tn8~Ni%*FPv
z;?;$YHi6#8wVJSdjzndFYoGC0zk{nPO3|G2L$w>iP#i6@Zg}n~j8%=N;p^;jQYdKX
zGw^YC9Ur&4HlUxxXPHlOVFnt_QMc2irsiIE-nXPb^JY%~h#Z_{32|}~`@q2;pkQP?
zGkJX(9fDfMH6BPH%dmd}rLMpI5Xwc63(0BqITR#C7DXFS>Cya_=h--nc#SF~x{BsL
zXYTb>qkG=T6lp<yZtP3}|E2FV6EWTj@zK^NHe|xbkUbsBpDC*a|IASkjhVOArycj>
zR}nbgzQZvT=HvJu$0Qci;fTlB1j_82!&S4nh(U(#ZZ~plqhO;)%@_=trvF&+*8*GE
zglk@%<#0_zRF){rG3+{76OJiI&%~ZWn=MS_CDZ+Fz^PDzH^|R-vC6^$NymG61KP18
zo~v84QZ8J`*tWBDf^L0s>Iuie9UNy8jsrA-VEyF}+jba7Q5rc+&0>#Ne{qu81{m0n
z6A}xxN%{o@7RKjT+i$;_p;;0!3d7Aeev&b#UZB^dd2R?26<tIW#MCfC>P47=Z%hF#
z1RUv!TI_;3mj(2cTyWqaaM{3=%gYp1_{G}j(+gvg_qL4&RHyV(m^QwYJsR~iMeAUs
zi@^my8tMX+mY}+`8WQ3ZvDjFZw5~&>^ZaK2+?<WYXxlJ1&8JNa!l9tSc`rV$_`Y_W
zMOj%HfVkJ`IGVws;ICixFSq3o*8uDDmX=uc&1e8$)iOq?$GCk*1&{i`*v=J?mUNIr
zZ#4dW>y?_)tve8;0kJx}j+W!jvX!K0A&Xxx-#g@}$>qys3lBKh&twXV9q@VO>?D8s
z-D9;lItGUF{ZUVKb5{e&m2*wJv=(_9TcEWXY|Lt@di#^>?~b`KsN$;#aNmWLqbN0z
z3K^DiOv26yjwyWGWYq`{Dlc}qx37hWukMADe25uf&tEXkF~CA5!C!$&lm(0U;FeD2
z+FWr>*g`||Dd#p9x~<1x#f*<J#wyv+QRl*=Ni-q0XGUJAQu_;;XBGuUYinvIeXHD<
zYTWhVeALq-1r`VT%O9@saJhX)!(4v|ep(#qFQ!?<Vto$(P(H&)QSe>@*(FQ>_vT)m
zA=&7N4f2A@rGK9bReMc}kqTs}@9?nKQ7W`d1|UiPd}G4!6UN2$MC3b{13nY}_gl-N
z9_^0HoJxE^HXY`#&_hTKy>{KqXiK<s3NT!fs|bgNYw_MRd2WMn*pv&}C<LjHcq#;n
z&|XCUI<$p+SLSv-<8Hryrs1-;^W(_VR{XMEol7@3O&)8NM>lD{l#x|uJ3#58cFE#~
zm;y8=KeHKE=2-ToE7Z$xWVh(6Vg$;M0EXoqOc3Ys0_Crfr(w>M4m+7-GkKtH;1=2)
zNhzsY0bhtD08cr>uv{1t`uU-8;CZ|@6BpskPr6jv%un`KI6y?Pj~D`sq#r$D-SL)d
zYNWLU>GS*5_UX6lDUo~Wl?{`YmF*fFR16ec&ST``EG#OryDscP+7sX0HI;DmIebYs
z51sXT<hOrY6D^&(>WZ`5DC@*SwOrSXeH*o?3#d2yA=|5q1+wzV4XdU%37}8e;t>fC
zEDXVhL~!)2a(UTn`&N}a9=_U<{4}cOlcD11RmG54GYQqmQHT$BL$jily_9SFhGba5
zc5Jk?(5)wOgd}`pGEKmP^+sEF>`(*(oi-(-8?W)Bn8~s!)nq%+Ns{JEuhWad6y0&C
z<MI-4-QE2^`fr~&71nT#VhqtNKtAwPbaPW>@U>W6pYud9S(BvS9266S<dw1A`cE+=
z;88}Gg=_c&=kO;^J(Dd$saIRpp+AIpVbW{FXS5tKV;uuo{wYT0QM2|K0f6BQLN7GO
zmmQ<Aca*`fd~0zo?eZwwhG(edPy-jB88WHuIhkVEdP;{I5I3sE<m=rRhK4?+Tr3gB
z&ip+w5iAW^xj=Wq^a~6jo4FTsMBTct5Qmb5h5yGiGe;7dN-`ok%?Nm_UqA`bgcMrk
zvxw8Nu5GHyI4WdOF#4hEmemzl4gku1s7R0qXq5~*2_ZfM=&C*#*2dq~oYw9ay2XFs
zd~<3$aE$_M3{Jqgt0X6PEuf-ma&q#*aI+XmaTa9{B^jTXPJj<ZVa4{<<-am}hK4TF
z38(I;sOUn>ba$&4x?pH;sv*%{TCiLJXOuzrC(ibR5WNeT^;LynHPc~{gkNcSi0o{r
zWj<|oc;e<}*ju55&;dVSzpym2x>EMxBL)gZQmHB;<-Igf1sJX37jbto{Q|YP&o#~0
z{{CF<>B?i@yDihr+r=T^nVA_EVG_$@JCkq>NL-cdGRm&e_BE^`dOO`&Dr|m$*8pk@
zHbcJkfQf~eq|FJ$2&u(pI4*MmlGe)CgZ!bQ!T_Gz0QjnqVZo4-vvq3abKXmorfFKN
z)J|4mP(B<M7QQ~-DNWqw2tvXPBOcsi!Mm`5{H0uigu`xtue%6HFa8pC1|TrF%M&$O
zRf%aG5JiAnCSoL{BPq~_Jcqg-EhT~@xKd5)|3-e3U0UFoD7Ep4e(I@FYj6OKk+~_b
zo|CL0+j-}b13h@YN3D-tvut_qME!_j6|xY)Bbw+9xhd~*N5FYnTb7kTxyMT$)tP0!
zVJmjMyuYvlC9(YXaq=>Pq(Pm(8av&UkXNlWMFtQ!tU5o`bbr!m`OAB5&JiOy_trf7
zm3J6Lnn7#t)=x*4DIGM(og@!9gd15c-Jhb`a|H?=C83XeE_|a0W)D<V{>Se*;D1v~
z5=%dNFaq61B0U`%NKip+c)H*KZ%+=e0P7$jK(Hwyg8~9}5fTjs(hqr`ZiF!y$%BGG
z@soFQ7#M1-guB><(eVH}Cl3@aciC1W`!2eeAA^ZM5aYB1NeiEGy=DyuS<JAxa+=AO
zJdG+rGAAAr3Lr>>3c<=Ca0URX3?fMoB>f3NBuE=v4XXtpxb|3`Y#5!U0B@^D%JHBk
zaRQ=_cv7a2c>-F&M-Hh@=*h5fD8k(^2LP>dAyhXg@DJVoZYRv%FLs2LWXR(s6!g~$
zskQbdtkZc@gjTNbh3X>t++oIlSAS!DW5VnJi%SAiOR@nqpfjVcqE;Az%_bf2PynYr
z0K)v*X43SI3ZR(u^mKrpE0{N&hLj0LxsJI>Gjuu=m;!=N2q5>Dd`FT!MPh-VxFPp<
zu|xsh?WA<&{R*huS;3!&<TQXrK}e5!gbV}Hgq;#c?J-nC?&8IN9Ppt8RzbW$zgkN8
zJ%Vv4j}0cS7d<<*W6PEba1)4t`q0wig(V5-+!YE^<cW3`Dv}6KIIYOJ{=ReBmn+X<
z@#&VmbKfB$LtP6=P9;Vk%n!|np4?Ap1w;nH@wpL-9FMy16W_CnAvA#Qa1Ee9B;e-A
zC;n^3mRuqy=_1ZaVWWZmS_$ckoz`NkYp<bdTD@@qgxQV^o5?*mx(f@sO01KgbZbwI
z+<;I2uQyj`?Qa-{vf9~=@F6iB`o1!xn_QfVm-9u#1X4)=e-83qrBkmoy8{!)$1_!+
zMn~5C$=AyH!o<hL<_<f18__1YRA!=96kDuwhsk3cPb5{;0;Rs+@q1b0BdywkSHFN#
z-m|-7JGu{i*(C4;tlz?5vN7sQB>yREo;_>PU!!-iB8YBg+36)FzTm8okIVE@tldDr
zERBpOeeR}@AJ-~zdnW92L(+)$d3}8+g(wMsnVpS017L##i<hb;&IDasUsW)s0g;q^
z_Ru}8T2Q$|QgrFv-R&g@LOrTD_>8MQUQA3wnYgj5Sj7ldK_I|ADaH5hib6+43xk`h
zOX&i?|13aZK~jN$HN{T7AA!w;qC&A-_wuwm0xa`xCm3Un!`VE$^?3M(P)^8)s8qIQ
z(l4Jrs4b`;mk&RTv5k{eH!PpHu?K+a)ibWCQY<Vm_6vEtp`Z4E%nV7I(<80nj>{Fu
z<MIRkz?!>r`<`5qJdO|wSbN*pwQ8OowPpk@^qfD(a~JW7LSjzh7ci6}<d`79Q@k)_
z^Z9lz7N{cw{2as}1qEGMMS*S5ItO^}b<{`tK#;Icl1``N^_F}@dZ|UqZOLU^8>fhM
zfn^+q?@mWp|6x$V&GG6t_wQM!S$51p6-Nq+n>TL;9kqsa>bh}vmP8*4bjgoiY~0A`
zP^lhl`)8oeSc}S1phOtX#3NGD(yy)h7a}Y5utkCDgMrtjD0^*`l+OVHq?Ej4ax9Zq
zU2+^~O5S<;WgV)F6_B_@53+E@4ur&=%jCu4S1M<z*@*3=scGNPUNeBan2Tcd+QmJu
z5S!vml~BJ~<0%3!EAM&-!HRLikSy>Au0c`hteZH4u#uFih$&(5@k%G!qZ~zZ;K)19
zb%fZ=;~ID4Ao8iBM_tYU@8j%vaYOs9w5bhD!ByL{job};W9jMWNT~pqc`|e;R=LA^
zFP&c?#~SUbs!7sWTN?-+ZHa(8mG0=Bw6s>oaF)55aY@XtQ?K7D0!Gu#O$la&t-w-@
z8o8z;d2TS*#9@c=U~}I-IUt}sZl*5GI;VmyaSs<)@Zx+c5up+lAz>GufAjknuBm4A
z@P`<-jc4%Z!Zh}MxyNt+zHQa`-l6<_7Enr?^Wnm5WrH8gAQ%KAexhtzB=ciS%a75n
zk;`fe%|Jf+EIQW$=sJO#8%g~ne`48*uDo-e1}Y^~a~QbbB4gkY@WhGr6Y6g=NC6>H
zu$KCeVBm~oL)*{M50PF1;mfuDn#@z@B94+>=-9D^d?8lKb*-6T7NP!N7x3k|g&JiK
z2nKlA4)<GP4}(;!8%eGrtcteChzXN&swo*saCUd^g~RCyZS^DQg|BxNT}r>wQUqR2
z^z05+DI4<oKv0RD-5jtL7qz4g_d8;i$^eYV>gG<dnF-(csl<Bq-2&y0YocoQO?!$>
zOri_zyQs^tMFQ_Cs=r|wFcSAt1yIYb!$~g4V6dyX`x?S6SRG+I%x0{Oig#yfw?ssd
zR{G`T#7ZQV;(QDM5RP0w5vbX?zkX$YrIY;(w@SS8Cic#w&ZtBoyN0SmE27a%m^I*I
z5v%^K?yr&|Di8gwIMWKWh?p9|{#fQLBre;AYXUtqOu{@QCjhG7*xaCZgkD1&79{F{
zAhpjM8oFU${Kf8IlEX%nUIQ03f)a*XdSNBI+Yry-C5oyVj*Gz5K@wGNXFm!<(QX85
zU`URCnB*h$XxrI?Ix)GbffE2|+_>r!l8}OM3R>hS!BTNzGBUpoVjH8<XKCoiTpio-
zAG#pa?T6E{UOM&oz10XXpoE01{nD0Ja1ZFZ^$Tq5$1MO!;;6Xv_Rbbz<!9;GVj!iW
zhG;U?czh)o-~B!c-k<s+doko;=bANZU;@8`B?9=K*+_XYXkhPsF3fcF5Hepf7vpgy
z@+ojr(9ll?kP!F#4<4Wei5uVPjFf_|et(BYh2Zkx`K1-M+7AkIenjgciQ_^c0(<oJ
zv5w>Lzd;R%-$AHY2^JQtLF-Y;^w%261#n$&NFy##+L>p#F@sB&q!C9Alndsvr|^NG
zO(r~KWE%UDS9k;wuFdm%CCU#~#Ggq_mhp0-c;ZUE)YfPDCh@~cxeFIA@N<R3ssz4#
zd0N?GHU?DIcqw;&l4WmC<fLT#J<J*)>AVPHfxUHUM+n*{M;x~Tpo(Q`qd9K`9lC-C
z4IRoOJP*s>ih9fp*?=)fbV!h<&lgQ=&7>F~U#AFsMxfGD%V~P4H&!Fy9D*Z`wchMC
zy~I}sWd)zjgs~vP|DjN6&WLQ&!D7coN=(}j6MwJoz49ev3+Q&}nrAO_BuosTKsX02
z8fx%?qs~;T*{w&;(W_7@+{*1yJh%I+>s3w7_w9jo-{j&!5<W%vq^owAhliMX+j2*`
z<FXlOJ$wVm0FoV?eC{a-upLzmH4sGjn4TXzo7Z+lJ^eC9*7%8^tXe~J&@ZgO+XP{>
z;t+Mo_;TqO*G9YMb*<I+Ai}SEYuW$<{R-bekP!<I8O%NyxKX<U@+=gafiLwLkWk>w
zsoj&G`Jp=m)gx$HY7~s;yNXUXXT8!rc<!(lqVhYweUpOsF>iK3&vDTQCna(>61ant
zJaqAN4a;U$tzT~mCM|sQumtTZ1O-upTf{^tej9sJ-;8}DXLX^T$sN%ffuiQ+=Xcl(
zaNv@xkmwc`uI8gHlrI3jfmb%Fe<@aT<;@6;BcCy-2fN-rhOLX7_`r9G+O5SiK6j2a
zvgK+kXi5Z5n!rjX4Nc4hgY4RSr(@MvAXEdga91W#W!SF|lQus3CQ@Lh{|a)%rhm~E
z`#Mn1;<mi-qDEq014LVws3(T~!PIX5bR*Ufp4nqHy5b_&Yz!%g6XXtwhU$*Ag3yY+
z1swnxoQbop82C8Y;EDYk<*~m;W%~)Ur6m<eb2fq|IzNxbXXQHPRE%on!v5o$YpXIi
zVJ!ltomJ^&ZT9qT_?e`Tkp>eh%f_7!*^MUxX*dH4VVOV>B4$dI-#kIj6VAP53p3O?
zds{0e8t3wJpaQvi^(wGPx32~BRNJ>l4Qod_ZDwlYIWK+&f;B(n_Btc@52M-;WJgpi
z7+{lXmEuwhWR>nv=z0u*GQcXGbK5JGbqEwCj??SITA$vCD3$y5LC6KjHB2YF0^fup
zya@mjm5@KSS6Daz(?g6~(!GjSO~5C<fMH2+V15FWeDTCY$k5Ob$bMRPrg>h|Q;zqz
zBVjN&Ki0trdGSR|P$4mN^g6O(C$CNPsiKs7m_4rn@v_^y9W~aYf03wZ8X7}TlnR21
zRD1jp?WhDx4)TO_omF_Nk(-48QM5X>h@wGW>?(0zuH1~9!`xhYq9G*Q1DrX+f8SOo
z#}zeVmfR*#ACXw#%dHVrOG?oEAen$FIQR{!rk%j#O>V@UB1yElw$^VeN4LOLLPB)f
z9jfy&FR>HTbHf1|fPZ)XoDxGnq-p`mCG<?<P1HijUSfxY?&nmbo!F1-<IceQ@6%c0
z9pL6fjJW6{p%+!2I|nQ43ypX|IQ?&Yw{8HA1+XK=ygdwXzEp%65gkJfnPSzihOsqc
z?IM)J+Q^Qt?5~XhmAwwLb-w}nH@Tg?E!(pA9uj^@>>oCm_pslm)^L;HE4ZZ*+bN2j
z*8h-x#=Bgn3|pbEW^YncJCL-9O+%sG^S+!lI;Bq;7G0WY1Md7GEVcu6s>C>(VNsj(
zdTyE8^Oty=89Mk(%jdPJ(;Np5JcSGr!J_i3H_#$l1l7g&7ISsTbQsVd*IbuqRs2ys
z2AdYN#5+`DFA$gs6@W=jx`H<7s<WxaG*BpRrKc~$r-5N54Fe+3!xIJuagPK}Kzn`Y
zbnl3X;`>I?Kv8>POvT_K0}K#2_i|KIB2pV8;hI`}VIM-K!92^L0Q+!7E)+?mr%{dQ
z3E8#Qb3fWa0wSTu20fm`&mM{91!2aI0ed0|ZI7#<CLH1rx{Bc6D~X@QG*!-eM5w8y
z1p(v4I8Q#2T${As&wS+#XQCQfvl&Sg2B-Gc^fcS?&Q&lC$a&c!QUEAa1@^dAFNg>l
zW{O(vIR0_7_GE*V(Dd|RUexuX7^>Kd`ugv1x}o;oY(Fo|5+@z-bmR-78u{#QnPU_A
z^y;ijUbA)s@^Fft_`iok7HXfyZSJ*8fiMFA>nz2&g_%biLDfdiz+;$*@gUUrO{|8k
z92{|x#Wj}J2@Sp(cBR-wz)P}08GI2D<hW)Xw$k%(2>`pV2VAlVmTu(4Y$nkkJ=02&
zkUq6$3n6ic4U8{&Vp%tKLTwt<GYw%1$)1;={|aJw%g#XW<*jR(^G1+t#cwvX7i|yb
z5qM6Fi0nUY`w4aA7|16$p?qL#h9acqV)=apI=&A&QVW$hB#eKNX>}H>@8mBDmtyru
zpeKhISaIA$2fzi2XaZ2c!qZz9>*dWA|M|$PhjP8r+jjHv@|tX@`S9U>PkBo<7y;0%
z^#k^R1Q;0`AyO*C3ZQs_1_6;0)h&j9p$vbA5t(?&B!majr0Vo|YUnSje*S+*O#-hB
z8cOl7lQ<;vq0jUi9Z02P-XPy;vX6uh!m;~sGn3-vfS6sn+r&RZf!|b4RVw-QS$m5u
z`4xcIMI<9%SMkx9zUe7s-C^rIg|Zhi23n}3O8oh(o%3iQkAi0U2^fAg81Ue)g`~11
z<f!MEP~RqwGfVG4RU&;`2$OhFb`OP!2>nx9zB@O#GhBXk?zU>;@FkTj^3T0MGJ>S2
zjZ)->23yf>R{&?4++qH?jX*0d7Q4A(At0A}H34M+SAGo9b2J)V<m*CB;RpO2Ejfy>
z>Qoa&2o?U$wSRCbO}PMxC(tqim;3f^r8#!2kI0AUhs{6JGG@qEZf%%9l=p|Ob?k;*
zQwfqc#Mr>OE=CMako!Qa{u@!CLMk_e5Rhg<lN3X|M-cNCBW)%r=^CS`ojAH|ga|r0
zZ;wL=AVwHnT=?dIgju2;g_;CnPj_s4BohDfl`EMr(BhN@J%Vt^<_l)pOD^Wk^*=Gh
z3~X}PjL~y!2YV_H0uDKU!uYvJc*7twyNk^A5<i|=qeetrA~+kOpacXp-ULFT{z}sV
z^A#oVtn=m;vtVHR=bYH6y5*I|;<X!WIK!Ptz~HU1-7vUd7?`E_`@buROByCwBveKz
zws^3svjV5!5fo$<6=g&uzK6$oxV!Nn+<hB$j){z7M|%RbiJa#i{B7cBq8++Qi%A~_
z7`!_4CDSV@>CjIGuz5A&{lN_&#zh5OUY@2VUd7YAn@GKet%M-nD=?Id4#S2cAhZzf
z=cSRbQ$S*F_owaHY}~T5kD`tTh=Ru{fVSl;WWtc1bpt;ps01`vz!6UX7{{|&3tSBa
z7e?lmft$tp+Kf`larp{|3~Vqb_dh`Zbm#03BUH-(5irYWHS!V)tE;zQlRyRY5w<h{
zB&$?{_r3BUwGlF4KGg88gbEV?93mTGFkgEINDD~-1DAORMF+QT4jCYiO6(!NSezZ;
zwMe`Xt``9fvdEOf01}KzbCU?`C}s*oPVXViJe@0Ncpk~}QhI4=3H_)Kvi^}4BAt_y
z1JUKew<DAfI#WIy!Aggd@i7`De8}n!3**Hqs}nZrpj$v0+X*8Je5EuPH3nJd=6z)o
z0s;aB@YKRm3o7ZclPc@5uL-98{u%%oiqjjTBYlw%+W(_;i^PJYrY0>+Qty!O1EJA4
zl2W`s(Zb;NF;IvbUkiAX^XBI64+?#YMNn44I8;<nuu?@u1wMJ;r*Pst#j)Gj(IJkI
zj69nGZz!!RD?v<dhI#~zfIDvFeN)q8XgT$bjC{Sj%%t~mac#oY;=gx7cM2#CDjiBb
zK6L=M3P}C3xOR=qPFnVN)!vZsc!?WYppXzIU0q!%DJj%*(g@^2M+=#!Ck(77^XzUz
zmUuoXUP%eTf0hupl97+7G|+Yt3zEJ*nI}g4vAAOZY^8@|sQMo>r{<7x<g|8Mwo5!7
zb!C3CLIH!*<;04gtY!XS{hq2pn*6iJvwxpfZela^?AxK74QgbR{r_h8__Yb&e;WXw
z6e&qYx0A8i_o?Wgl3(rf`~5dP{;!6$V>Z22?;pQrrT6oSfB)LAY3p*hyS13){%bb<
z&*|IvKc<rF{||HTt;(p1C|LgEuy!)w{OB3XIsfOc{W+apvxfOds@HMnUpIQN-(y#E
z$!>$+lhIiY+^6~v!_&hI9{wH#U-bJy{~m7t>!SYqo_NGd!k+(n7k}Ifm4xKa7gW6A
z&rA9}o1V-*Cok{!Z~i%>-r&wt$)lK^jR)&S_j@)y9rYh0?rB$glY5aqwU+sx&*^`0
zN%#xDpZ$p9zg_3=OFC$=1w-Qb_i?J?3Gzt(`Luq0ihq6<|HrTH=Oy7U{JzdCZt_0=
z`#OJJ5~3~t{RQgFKl-;X_V*k3{Q`eq5)UpHkGE#)udnKVdIPwl-%sg(e&bjLBj^73
zwLhNIpBMB0-SYX@C;sOHCW}|X_@h+&iu+WZ`K-x<hfvlbFJvbN2M3JlrNEDpU%#%I
z=>i-=Hq)U-2aIQ7mxUl_|Cxkc6evws&V1|o(CE;gT<5R=Qk8$!Vc|y?>NYP#5hsdH
zqX2zhSoi=4YRn6P11XkdCxFwMWCGy?BIg2z&smIoIZ_cK7V^?P1V#y*<6eu+Xlkgb
zsP5$Fi%|frSo5~9usg+_T5mq8ICb0tvGu7-i!;5&sGFc)3}2r60^s8sj%{|VdHp`r
zQ4#gep0RSO;zlTNC+in%&3HJq!^PFOt~iLP)ofK-$dGtI$v$W8{p%UXvC^#jxmW)F
tNAjH3hB1?$BYO{7q4<RUAODw2n@wzzXKlW{ilV^3<fWCR5+u&w{V&}m+2;TN

diff --git a/_images/48b93de6c90cd9cc12e813f797569351dea54e1d152bbc1c37d3d108af52e799.png b/_images/48b93de6c90cd9cc12e813f797569351dea54e1d152bbc1c37d3d108af52e799.png
new file mode 100644
index 0000000000000000000000000000000000000000..c3a9af5e3e898f8ecce12a2b8b8136320fafced9
GIT binary patch
literal 26553
zcmaI82|U(m+dh69rKv^|r4$-bN->H;)=8vQ8)cnnvBg-+ZZegW2$d|MMJh`~Qevj;
z60$~7h_WPP-~PvWyKnFFeBSr}o6qNY!gb%*_j_H}d7aB~9_M*MXSWvj9KksZ27_CB
zo5nr{V@4%|@ze32x$u{eun#5pN5OIHA;<l;#~n`{u|LMxb;R*cYg<Qa3)AJ!$Lt*}
zY;873$xF$uU2g8^_@{%SwDig84@lYCpO6+2U*UvFX8*bEumgj^bA<lK5vO|3g26bk
zQd>j)!0Cvt4=xdvGe7*()BR`Eb3boy`_<bUW(lhc9*PTH9ikWelV(GlZ<wy1R=`M{
zg=K?K^ww)GF*lB{HvjAq?XoIHB3g9L!#KlHw~6mZ9L^d!JD+eq?%C&=Z9M84@$N>W
z`>FX+wo#G8yH;ukiQz>U-dq-Yzi`k`(IG!u(!YT-)w${4l;v^sceO<`<mlIeGtsmQ
zjKlM>B@D*$xn~6F-=pd}ocPCkExxR<(Yp50;*HjaV)8Lv!Ok1&#n<21nK?1iaaMSy
zxu`m~#M31kj_1@So7D`x*twFgIX}Rpc~Ezq*dCSPqr&&Bp1Jh3=Ds@-CA8tho3%eA
za0pMH2(1e)%n`qCm{K>`USA%&^TvV`Q62-9HQAU|E<dxs+CXn~g1&QO=gJ1R?iXPl
zd6$KjMk+czaF`ewC@{6}uhPp8S-pRbGFPBD-oQ8aqCo!b0F`HT{TCOl^UD`@i)ZkC
ze&aFtL16I1DU*`V^bQJb5i79xt<v>ET}>CIF9)bjJZ&(0b7R9QW7n^Ds}iF&*&2^^
zm`v(-jX0DlZweACG;M!tS9|1q?y4yF1s<aV2^qU}eBO%1am?(=TWXsVDr44^!?)*B
zfXax3sHn}0{_0xK(XQqzTEeTpJNiGiykT7tyDQbABKDsO?5K3O(8>Cf>Heo0TvjE%
z7^rg%7_PHQ$~AWDS~%IKI>}djT{=Kay9s~u|8>i`oQu*~PwQl&+`eTz9UrK781-3L
z8zjC%RP@%d;%nuJM$Ze5uAh1HXY)0*_=NNZ#fknTudUq;FPh_SU-mPw$q={68g30$
z@o?Q4`rEJf0@B(~&f-!2p|i}Xa&K~jYsXgncS%@TQDx|(kA8aO#*_M;F9sXRAL=EU
z*FQOFo!OJu6C5=rrkiMZxWoC?Iqr+=(%-MY>DqpOs9i5xP)O0yS7iK)mRzHO)4Vh~
z{mYxbE#~DtFXDN+#9#^YJR_ZSQ*AydE?Rr&QQd1TVV9%vkKZWve7zUd`XhtEh}*Mq
zbDdsR@71BYnyf_vMvi;kdka@N3HMo<jOx=N_~CTqJ%?V2<Q=<iw5U{N)LLn{CD^V^
zeOA@8u2Wfkk+qH$yTbbqT0U$LRCH>uTrB_RAE{O~Qe51E{It-7`WHAPyUyhNynp`U
zyp7YNW#@9tTK1@JxJ<X}CXdR{AIsc2lgnSY4c7koirdP=w#s9qze7Me^ZV~g*cLgr
zrbkC!HK|Sx?>V~u#?ZS`&nI=6JgQ@V;<u+?W5auU-5J~!56U<hpCy9}H6VAEo?Fr_
zFAUw<qdJ~iJ-lA`aKAytIYCuVcUrpLz`GOql1Z5hY78BAVSks(nB`px%a2@tY`bH7
z<?5BYBNjux{bmWDUcPcy82`b82km-t1!@!<UY?z6mh@u4uiL$Cv)z}N^LZm3N!fK~
zHc#FixBHgSmUl-xxT#=8z$K$oALK+u&;7Dw!Sl|P9TAY6p7W|>G1bG$*VY*<N`G&^
zqcgqHlVm5}Q<LExYx(8!qMmmdC0Qd?NqKTLhJ1XhcE|UHuG3HTU9@gu)b;YS%QY#-
zishRxZ7}`urQB|`D?L9wd%P>{&GT4g83WqCu}?f+zI?mof316Ra;ct)hts9SGNQs>
zV?DL@#p_mxHeFbC(-$%!kK^jjIk(hiaZ>h#tD!@QoD5XTX)N#dmh<z{F1z5AG}CQ9
zn7+NEEtjM-daGFK`P$2>6GLAr@9!TQ%2&PY>)T&rqPnrp{Ps|hUe<#B_jdaS?^e8D
z?Gd{>QZRD!smoVZXl)#B;|g2OA>rM2(@kpl?e(mXWq6Z9Y|GV4OE#<=ZWfsg{n6d1
zn$ek3Y-uCFYc=kQ7i{;4FAQF_iucMdg0d2apI9F*=_hGiz*~r$YneDY)EuDqd~&ar
z&{fATWxo#psMuqbxKz>693M!lF@9dxb$*^u*e^ngsja<ydz7wdXsmbXZK<-^eER#x
zqivC=5}iJrO#g5VfA$#p;p!#D@HQ+yuC@8w)8-&C?Vu0N_3OTt-_|M-PO}`;PrJP<
zN=5l=W44z)&UIytiI>NEi??@L+8-wE9vSEgADbA=-h;0lFTEM5p<$2hTP3L*zis2Y
zqrpeRPd?Fp@bF<UCWWj?UhqBo@0po$8?f->32sdfmUKLBe?t1W#K|_ZNAoR&pv9nZ
zM7PArs*X>@rR9p4XwXvI%;eT*2URDfo_7YtA4<Me-KFPYJJ9(~uI6NN?xHm3{DX<l
zzdgezuN%AGZ+!+uByRNFc~{=0C6BA4<`ziX4$qi#YfqGl40hmYlb@ueN~Fc)_+Y@j
zC{M+#vCq;q&$<e(tY}X18t<?)xp&jmQa1ok*3#^#POy>^ad<6L{@~!lp}wd|LkFYL
zfiA0w;a5DWmj)Z$q@6!F)ePYznm=DRNp#A5a<V?}(|M7bRlk_Xy8ifb8scMG9e-G^
zW>=)5oa^8>AxPE9x5*rgl&d9|pA?ZDvCSTLj%?f4fz5pnt6<l9;{-i-1<a64{xUwg
z*49v%4?lQTJ*>RxG4Sqb^X1L$k?B~V)qB3lk(%t|{SG|BO7hSz2OKhJmG&(KL&YW&
z`yAQ>O1m$R`aU~XAkUkF(=^hl`T`d1nr0?!m&03*OBCNal*!4X^jlq;l>me{A>*60
z*YJ)^tc`B;#*wFLHm8eM>CC@+^{SO&QT5>yk+m*ukyb|OpUy4K`~K;b-t#U4+ZR`>
z%xqE$SEfmwg2Hee=set!$<$U6c6m#B{^8`&fYL~)mp0CPTK$=OV{LSyh{~T(n7Mz?
z<}+=tye|V`I+S_ZZtUwGFF#zL!a_?9@8j2Li}bQbs%jyqO}8#e`N595rgeKw@U2r#
z(n~TXqaf$m9k^xQg{ZNXRZN`|xA%5?L^>n@oAbCoS6N2Xv|`sLf701d`16%rfA~V$
z#H5~nJQJ$qV*fgFb9%KxL)Oz(n(m7hgflk?d%VhX@OfkI9?#xj-=R){q@~u6)ZM$R
zOsw7}{}szu>3wE&OnYpuMft6*GPrwjadEz6mNzz>ZZ@w;G*TM>QDIkSac`@WlT$*y
z*F<`Vf7-Wa9eJCwhfBhuor~9{=e)hUW4xM|A@S7OIhAh3Iqs#4YK%@9kvev2u<5K#
z=2mQYpm*P2X!FL{UE$Tyqb>D4`6430tM*);&9^e=<G(()Q&QH$+kxtBJbZG`rGk<~
zc}Uz4bjf0-%%oN6+Toh#CFctpbhtaJ9T_tCImF*<a<nl`%IinDmW<cL*q53l6Akx)
z3lVb#q%N)AADaWUxVUkwb(7i9_fN@q=Z#<OY6iAHh9by+n3N^BN2y0+CnWhvz0LDl
z(~IlEeuOd@B^F=GVn}U1{r+-p$9PVu^)lBlF*1Mr<1OD7;m|vAA<E=E-wIJ<kNzrr
zaEoI{^*Z<@8K18$-f(=Up?#rv^5n#5{<r7d!ekxR>ZitO2N*Rb%A4l+eyL6{py%0S
zj}I_!*`rtUtll<rWc(V(ajY5ECg5}N^%}#h)-Ws6T)&0MHO6jRH7X;ToBHO~L$;fs
zpKRVXJ9pN~h~9d0%!+Ik^h@4Z0prCm64841I2hs<RT-6u@a`g(+2Vp7e-p6;e$a{C
zmk(cuYjCI9rL4iduOxIM+z{-f+-B3_YwPspy219ATD?iGJ|wi+Io@H9b=8A|%iO>J
zYu8t@iM&74hY3&o;QTz(4w%()F5Ug7V`lGCj`hG3Ql6*u{h!mHuj<juT{d!lCqD4u
zRHLu&;`K+j#Y2h79Df}u|LJc&QQUu9&%W@LlbVjr{+lj4RUc+LXJ6iDI5=WK&J8YY
zVSSe5$S`f#RXyV+>kOV;^5Ic=TBs_?P;($#0QD~`jQ5HVa=<dNxEqhn5(}>x*ern&
zJ`wTf%h}~nSz#t|Hyz$6$fXarZpvN)DYd-?;o8{f-gg>Wu*ueI)F3{+!F88wr@9YU
zE*WH|U&zVzi|@A&&ubL5>b{iUZuXN*^!-|KFCV*Gdnf-V`+Uht?-V<%H1Bx$$wk2{
zclnWo{X0u!8Jy3DE;q(qI}!xEMk=CiohZEtJ#ivu4}PnK4s6C<w|v|D1Z%T-`stiG
zwr-ink8->3|ISK!VtyIUp{QsU+)Ay|o66xoPBR#1?cu_-{WzVVpXRsWjr@vx`G&zU
zTh22bG+GXs@AA7lu0MqVwtOMj*;_0fKr#&@-rN$r=kjo0TYlrjKzi7oEhpo(gIDHm
z%Ifid`sLQerjI^6mvOh#s|RPneKW95-kNG&E;>)4C2*zkqQK2J#2RfiXGuJwl|k<d
z(*@~-ke(Gj;ZM4{*17&<Gdyxf<6juw$3qH_HbHw|gs+uScDvHzdDoMRQbx~m#s?cs
zzU=j$Y+Go_*!oc*duS{9U0LH@wgRsF42EAp@E(;Vh*9EQv^aH^MQq`Y_Qu^zBsYb5
z33{6IYuvpNJbmsOZi@<l0b3)L(Gv9K-QyF>9Lv<t3eO%|rj9R><8m50p=oL3kY++~
z!%qyI2D*sygYO;8KK}EU9W>?E=gwVoloxzg5O<iDHdpHDavQwm>EX}U$x)R#S`bLL
zoIZS3n4&iC_50Sh>A2x!nrUTPA|A36FiCm6pNq``lm~ppcU<Flm8HO~Xj@_C?_C#3
z34eHgDqxm~`)}mmEplDP9Mveix#eU}Q!Xzr9h9Q&W5=&=4?T0VDEZvp-hLX!+6+<5
z#hojI2bXYozr8M|?LPGBJTodNzjf63eU$5f5+nM4SW4T~7RgHZ8)l6jgZ^7DF3MG%
z=m}7?Jp}>TT)2r5$Y+~1eB2sRbynDC@<b^o!~U*}o3S=mn%QNAm2hru!l|3s+s!kU
z+h{0doGCx@<16zk2M!#N&5vWKUAUp@<w+5Vj8%2KevPz#s>B*e$+@x%O^#x+lzzx}
zPI^{<!fDuXOQXh6<)oH|UIovwp`nVX3G)BT^gE6qkhy)b{>eillf8S7l>fxg-C*00
zS$nF{L+_#m@28W0Z_T?oi*d9Wci9)R;guG;sQjsN($U>B;A349QB@&*c>3dCvu=4!
zPT+JI+pbU)iIZBClr>_R(6I@Y=%-yX7-~|u`?H|8+;Sj7hdV}um0e{=LdE$i5fwch
z>az7(nmziV`<6r7o1TGs+x&XlY@sOkUhNnyPR4daBbk$AI-hrEJy+Y$!6-Z6l$&b&
z!d1?qRPsi;yD^+)US87s`ZarQDk&fgt{>y%VBFU+*%^-L4kCPCEf`<p@6SzzUfA??
zp(P$1*72B+jt6(Tr1y~8C-|}}I|8<Hy*+VKCIL2mFFb|luLb9?O6rji%|#fkHK4TI
zw2S#NC*R)GTd$s=u-4$oS~#0RRaI38^$Q*^TBoluIWc~FSNKN!E)jSxNA~Rs?V!_$
z49sAq=`$PLgv$a$s}G#1o7@p3)>;}RLh7>Nh1;k<*PTN!)vv=hNz<R<4)+v#=$y+*
z?R~r^)~UNeS<&&!$L#UIeFI9-3a0vhN9&rw*z~|2Yb6=KxCNK)tnjRY$2K3H<z~9{
zks&I7=G5_f0H^E<nS`-;!;F-bv9JZM^eMbWNK&hx1+Vyz)ltJw>^~Rz{wzKB-1_A9
z?vV%CqiQbmD~c)}IK&R$T^%wDpS{<5$%6Mxon@xj;v%2y4js=N*|BtysUO2O$8H4*
zqPAo{qWHJ>=gX}79oWde-8(rM+wT3IoBA_wm2EOI+>GUsbCy(y0#;dmH%FG??YPEq
z=S5%htAkn+>e#^KKR>-Z^X3tS-WM13559r7Ewfwk>zz=54ylmR){(upHMh3CiEM@g
zv+GUUGen5ZwPpeSCvLi|Bp2V;SAL+@tog55!oKh=>+YT4(BaRKZ8t4_I4RTR!r*^y
z>Pu@7Txa<7w`ZrijmwraK*^JBf03^6(VMgBZ@%5Wo4YeN%#;7<9X9%bykOkkDwpha
zPijRW%KnPk*&T_`^OOhQKhEp+hyI`VaZfe(*YnF3kgEd+-s^(NMDO(;1e=Fa7!q?#
z1^biR-t{pgjB*!X;b}qDSstT9-%e#Og#(p%IMs8szELwu#ly7r(GjPH?ozJ_hqWeI
znGMa=ZP2S13ANY_BmA`MNqtl2<I>A8dvfh35Fst7*f!Tqm{F;_lQvt@MQfRzMkf@X
z%&BkhYya@!HZ2NSEdzf87>HBDJ=?~tU9PX4YK%5{_CGYqz3KLC$(D1!T&UQi`a(OO
z)7x-<#kQrG%{{gjQpF=K;Q|!K$og@~Mmt#iy#0HW7gEH3NoezvhEZz-I_3BG-&4#U
z01%U=@@)%`GCxT$*)HHO_CG2ZYR$eDcdjV&F#I;eZasarPLQOo2cFd;_jBh)5Tl7)
zH*!7<mv_@S9uZ-n3yFgRyF4WSK`^sS!1(l$_jpxuTyuwdnwt?6n}5$_1nw{ueD{dC
znL@dOw3%|2<+pP6_wXC+%!2O7TYWELLH1CtbQ8>+VMkYZudX)^<+pj8J0FoBV@ggJ
z_ony1Ils5duLYK73SDmd!;T|bCPy~qSn0!XWgc(SeXnKKy);nS9|OMwiYS}H>q~-i
zYmx$-5D9DMUlwW}>njcL^-XwEx8{xN<d}SW+-=iu?=xIHtQkW}GXC~|lyXKdTj;j)
z;{3{eW*D$5`1QO7^laaVd^TK#W@z?@{qg`3E>SGRwbVMWCZEguV2*6j1-yX$zB$Yn
z*wFyHG=IbK*S-WDRq2@+eX(OK@5ZOj(x>*XnL2hlC(^8TpUw&ph%;At9;4-IsHQ@4
z8;8#B?W^ftigyDTkpA&Aqiij{?oVIeYl(*_R5H95ERW@2+}Xc6k9kKW>`et3YKm7a
z>E#*TqARBc^QQ*)O%1xT2E~|zf~1DH82n3^xBD##xf~<f*B7wv*O1uIMZd<W7eWT*
zOcpL&n2dNa4{COfvhHm|r>cYHNhaA8rgUcZz3D;dn$)l2HP$TByu)N<AK_F_>MW;X
z-HuW1pd4U0<e!z}0xec?KRq_uIQga~fYI_-C|8K2+f8Mjw^Ao*Q*OTo_;h-_zh<to
z=Ivdu2c$|Vu6O?|X>tKpOqFoJg|6}OOlal;->N*sk_!PyIg-RD!!yf+r7>vp5cVAU
zBoCC!?EO=_p4S^na}d&*R>tk^fdtgNZ>2a;GV!S>A(a$g-!jX;%=|X#o@J_w$}~&`
z%MJ`=zI@!qVHK1Yx`>xod&yx0m%v4uaxdzQHUKjX${cFCSco6?c^3+{LDaWBbNm|Q
zKJxWmTB3-8{ZV_wzOA2SuyDdNIug=X0%_b)mu?$n4L76^7sk*boZ|oCH>a|Kf3#Og
zS~O;Pq<p?+u#ya_rO*k4I)$(hQ4v5U3!zlP;}K&NV#x>Fnmqw17Pf}l-du(tT&@NS
zvC_V`J2J>*yj_p`rmAQV9Jdorqb6fb0)<$7&_GxHDmdHQ5DDt`jW3kc6>A)A7!2|p
z9}(}WOWU#WgJVTYO0m>Kr%OQY#8zls-YJze)O1HHKv?^_lu-~Iv5kZu`LrF9EAC2f
zG<L{%@L<ga-xj#RNqs6iu1oDAcYyhM+?Ze$j}fu9C@;^FK@-GmM-i9q0*V%H4Op)b
zx;eeBxutIR=B|)sr{3GiUDr!Ayg?g~@$t;u_RLaPflzXf(h}=|69nJBthffq|NX?o
z-H1-F7`pf5$~Bs#n(uv!xT7UD+(y4yW=BuA(w!>AHNm?!eUQE2t8Wr+^UPvBRO;^m
zdfgLhJ&)StB9%*T)*Kj6`gpOyYjXVPc_HURCrdl39_sZLNha~TX0GgVF^<uFNfzW#
zhW)Ykcs4e6^xJbgpzQgBS%WVWyVG+Q8E9ai+sB|mUsR9Ol55x;vVZr58yimK;avoA
z`TqpIBq}PZf*5|Wtho+BG9-BUz|NQ8skN5UgIRz+Na}iE1ar3v81X}PZN?zoM$OG>
zxIl#bZF>LbmYv}n*8!$pa$eZgyfbU`TmM9S#-DE#+H$Z*i%XRU4c(iUHu`Rvryxda
z^7V~NOuS5*asn=B9#Hnh6f+T+O;KfyV&0Fh6=ndFWZ<B{e_hJ7HOGoVG)q(Aa|~4_
zc`oGTJz1A}zt36E&~7Vj0W%yWWS3w`h)dP$3HW@Q>ryTF;G7>abn8kZeV@>uTne4)
zIywFodiOPU!++2S0;AMlxnIV8=zCa)eyTa|tMfbo6cWG5cSlrc`C*l)DHai*QQG<L
zaWlj!(J8#BsEE*^4rM8w)5bTrtd5sHZrfVhC)(+vQ?zfiDD`0P{2@PGGfxMXLh<Wj
zKvn+L&xT_jRdqQ7IJ)eYtm}sM+PA%8$rpczGqNmsUaq-R98QW;LmSlTo{8~pubN>b
zVQi~h8V_b?km*0{@L{fWW}t>f@7o>Ha2g<dn-ze_TS@UC`h5qG-txooe4$f2A+xEj
zUJVzeo=JQK+_fG~`5oNwLS%9Dy1TL^1bf1Z5k1~+?L`<9f_snURk}n$eM-FpN@pn*
z0I>FJeY$N5_B*VDWUVFIXI_!(fOA)!IDmki*e2ktZ=qn1etLNp?+o?2Cu<-rDWRwF
zd^TQI`=M@v<%^MKxB`beY^4OG3=ef@t4_i+2Ls7S>dAs9zDx90we2(DrMs2;E05lb
zbbin$V~}q1qRuuu=~?@OJ8pyDaH9$dfdJwO$G_@X36cka%McM*DaAG#{{Cs<sAPq1
z&z!Wkf0T}1Qnq#0O;2yDI$p|Yf4A1;#*^*)2Qqbs_c-58fEs9h6ZyQlzW>_?x3mt#
zW@XW%x(5%+Sw8XgU2$1nl#F)h=2JE}DJ~hv+TzX5*3k2c-4*G!jhd<rYk>VZm8cGO
zzS|(GGMe!9de)D-bpIl}CWe{9hg(gqelnst0)Ha&4>?7Qyh)nRYX=>OLwV1uXY6w9
zJwj|sf>gPULK#X<U_WY}*<4)rB+kVX`0`S6gM7TIFAHtfM0O}af%aht7f#5b_4NgU
z^C*u1OsdN=01qqHSG6*GbD`&P)c9I*bg)rgO?QHKGtCC{`~qHH9I)fqKzepUMi+kM
z$7S{h3Zu+5Z`tA%nwNYDc%i6CLnCL0^b3CSl=|BP{`Hxa<a7=Jd!^D!H8YoEg1P_P
zOg}!L<R+}P|IWl!i^)AY1{eMO{Kyfkc72X`Afe~kx%cU}Zr$4Zc&mnW`UmIal8yB_
z{+k*WBfX=QiAb8%Q;l2H|8{iucgyIf+ZgqgKD>4f5wNfCQ&_BK0xl>8K{ome@|u)F
z!`gM*WORj2RLQjW!r99sq>em8!un)@qPf~m0u5fTf;$mb9B!SWJ%$ZQ9CjFP`o(Hr
zV?_4kcsElE?vTn5<KhusMp+A}A9-QCB$vpFrG%MsaB}4kfZW?s*yC^OzQP!a{0o97
zO6J%Vt-e?J47osCk;f-WFXJz(fTd*TlA0r>K{>yUeB;mL!S$7@W;fK6^)0`*C#ov3
z8y7Lv`rUe<S&{lR*?n&|1D6R<45-2XyLLZrpUlFa<StG=C^j*4{p%%Pg~XzPOu5JK
zN88OxIotP3k?&#fklcx!3w%qR8cU=4M5D5>q<qTG;X3($dUZajCp|7|uuXMR;hMCG
zaoZs7aN`}932Z|i;r?Y?c>H}!7d=9rNRCjil|q|Do7@^ljjaKq%GkVrD&OS0!jvG<
zcgMr4Tt?;AJ)@kfLbk^KaU=yUQC5^-R)-JqhacP9cc#6wxEE<!7OifFW#u9>AWVn{
zpt2<A=a3KiFVQ|tP#k{b6=_~t%-fwk=}FeL2R=dG*l?fKwO|s^ga9|-wE5V^L)|Ca
zM?_vhxnCdz4&M{Gt?BRQTRJiR6yT}Z*ies?u<iGc|JuR1&IhQD^bn<s`@*Xy#z)}?
zC^t=vb|)Q<fAHWz6W;V96zuT?RlYL!99h2$%F=ESVz_c~I}|8tT(|K5a_k*?biGHc
z0rJ}sfK4F-LNXge<fnVyZ0?qIDaW0B*aS0qfwEkb>j0i{YMFh(uRULG2UNSgtah(E
z8oZ0bgiE9f%d@>Ehe~Wck(=t#K=v#9u&~$5zi0O(*m_8Me)kcHx4WPD<L!>y(9p@q
zMj<v`*A(D2W`=~{3Q9weH){RtYb*h#bT@88nR&vGP3o5kAJO$Di9j0M6gJy8(z$Lm
zQb#F=QjTgbgLf&HzC_v8k#w5fzcU4J$qDvG81GLvU;tVDA($Da^J?fd-p||f&i2fz
zouTuYpeNlQ%GJG5>U;eK{zu90v-od@a=jyw>~tAWl9>5<QH7|ed(nwG2XuAwkaib9
z@^p>g<UM<WIO&oQ^!m%vjcef$mA7OVdk%k=hoNl-9-KH_(utr$sQbmBafD0j4TaEW
zc9#{~<A!jZgk}jj>X6S)@w$F?u65kwQkCa>vv&!}n9}~K;uJFFJhLJ4cI8_IauI;d
zhgWAtbch}jeX`+{LPdC`OuC>JLfQm(-ZL`4@UG81MF~$}v6QnlB{BfHM6jewk<s-m
zIobO9247!WX;Ov~5Wt}i-JSxJ17wD(Bn_m;am$aDoTQV>p-ctk)hROWDc2IorHSCF
z7LS(Bh>r~A@;8HDK-;C$StJv?RpTgNtvSjX4)-5C@PiA1Oi+(y+v6c*G|iCYBS8ro
z<LLthqo0xv$loPO{E(1+iQ@%IF8g&wwSzd&a`J5Xcetrs9cgrt5Wg#2(OxeiAv~bu
zcU3uQc>0e(2wjR#To?tgYl{3JrMjPvv_C`y=N~Ah{W?@;1)M@Jepi0)2+96XuCqr=
zB|U&Ym26jzmAe|P+eE1k1SdRAFXu{M`ipZG@Jqp8g9|H1EesiVx9{|cO>VoY;wBuZ
z`&pQYJPaaBA>cY=U+krZne$q%gmUdVQM#h0(?w0n*CMJX1{mG$3lz19#g1P`MAvdD
zl#3C#+f@JLnL2^fOJqZ4dDZ+nh+Ap|gepdh5%!ldkNuvV29XYN<Jmw^v{nXRm^pWm
z26EKc3w~Fz<;cS_|AGOG3%D-ZHdDsmv>LI4Igl^{xd2Wrf+|VwP~ZNpZ~0(OsvKYC
zgbDH*X0Nz6T>@lKJo}HBUts2md~h47G{9%uZ-#0nTVVo{Gz#tdT1zB<$gADN45xBZ
zpUt+6ssK7siyLk_-20gc%Hi<_Da&W&$Zp>nzVYNOWG0j0IFWl0lh4sxaC271ud!8o
zbVkp>f{g@7Gi1F(HSZtpU-X+TC#Uzw1q-XTEwdTk@vQBUyM*mIx|P7KRWb>mDBk^-
ziDoURNFnkJw<tx%!J*fb0ec;iWCq4Lsd>DJs9o7p+{6@>+N>!oFvTDKtSQ2F13J@P
z!J1+zxJEh`Sts$0Fg9-1eD4=vK3^u_wtZ(YJ&Jzbho5=yb5R8AI}`YhP9AIS-W@ue
z-s{C#b9-U#kY8ETwIY$Fc7vDjJMEoTDm28)9ulV^=94hwNkbg0p_hOOmVai=K1U0)
z^YcwjA-NWBfw!63r0-baHuj^MK(A6OVj=`$u?y*K_i3;`_Y`j%xWJS^hzl0E%=uW)
zmE29wm1jM-iC$?o`%yMDB*7k9MMDc%Z^2DNi&;Z&X^pd4Ym{6^LqD^J_U}{gia9Ur
zM=4j={`Q3+Re^wT`S*YsjFR73Zzp^8fQ|t)H&feG9n@QhoQU~G)2X+;`|x1Qtb#n^
zDj}HB0};&oIO`O3>$b0nJ7)Fu?OpOd!-@ec&y3(=q^yWl|Iq2e2w5+a@Z)Nwfy!ei
zG6Khr9V^iTOKGn10*0(_C|5t=1DyvssgB#6bVflYS$t7II&s()kr;g<{%R<f6|x7>
z{1+^~UTIHvM>M+;L9)RY8Kzj8F9xo6S99l%>j$!b=Volbz><rRkV?r)m60#EPj{u&
zSV|#(wV5)GM$a5CAnNA-b3MackhM3CYwkx6AUTx>w^rA|r77nE(016mP|$Mziv7tu
zmbIfhl7i+~5)X=W=zl1XXA0*98T?oYQ=N>=hCnh{oAwzTI`895m?=0^R|QgHuE`$S
zN<*xxr0YpTT<jrj3@Ncs-{g!SgVY&wb{9Sf<Q|qll5p~{e)gqb+E~9FqPdr`WTd$d
za~H6LT{deQ4Y7pIY!^LNbZQ@D+eINhd@Q-$D+0L{WZhu@G>e0v64Dt!fmYUrK1or$
zkbfduq}y}I!m<0klyiHdxc-v@+57^2Z`}OD%tzl(mg#C}Ys*(S^<r_KfS105QE8F0
zUA0PhzVAA>R;S~0UKyxxET79<w48XXP+$E$tK3vy-*f>l!Thm-uTKYuhh4&Nyo6$j
z{)@RX%c6Rv(u|JWZPnjj9IT0SsJWP&;<_t6Is|)OHnrz+pE-XPjvAk^Oxih`DJI$~
zJt2!<JrncpZo}Psv}o#S{S``$<Bz_DR)^N_Rm2{|ooDXvE`JMN-VdA8t;)>gemIBB
z!xpqp0f<tj`WiXA$DeCp30LknkKP#StWY`C-gwu7bH5`dIK;`^MEiyCNU#w(hexf2
zd6V@I7&r~bdu$B2wyu4<O$dm3j4U;}Z1)WFQV(iczuS<g;5hna@8Qvtk;-f8bLGz4
zh^%<h`R>k*)w>hsC^H!Re9UQkc`J06Bp)lS_2?7s8R{Ht{=lQ^|1DD0E&QHd>|L^E
zlY5xcx?@^;{73&9t6n<^?uOpkj9*C|9&`XS8W7E;_Kqc1D@^d#MPXB7B{&R1qs|kS
z^b~AT=k`uv!k@vRnhp>wiOnp@log;Mme6WCKt)R|We+jG#oR4?>sM^{9e8Ubw1Q_L
zSb>(T&+!N0Ei74fVz2obLB@Udqh#=?Z9*(*^gD~sJzz`YPQ2~DEmL~R-xO9T5UB^I
z7Uf@oR|;A+rSmnD>6I+lLmOy_WezlxadjlLSwkT|(GW|2Y2K$bu4WG{pdse2VIlV+
zeG;?TLtwgk-(o-OK0S-QtdR9I#D3O&de(N<x9<Ffm6WrT$clAXiJu>9XDqNYI<l;N
z-?o&dVDF$HWSXC4<peEY4|H_c^WDIF|FU-Git`yk#!U9xDqtbz&g{3Hi}{YTUr7NA
znO5c@^r++0-@-x)HnaA<=qhG6W}nX+ylt;0Yv1i*dIAMlv%|;*&SL%ieF>(EVCfs5
zNt$j7FVB&U+oi*~d=+bje>mY~cd^tVm(|KRjxsUU6gnh6nk?b;Atfry-lX_Qyiql4
zis&PFBen!`apR53{$NcJ7#TFzQqRcg;E#?PX<}KyO?Ob57-~l1HhL{<ztjg{tHz15
z`2P!xe<^3|+cmXhZozwZ&eYw#ZY)UoCyHp2hg-w*!TMWD{8tl@!jPR`p2mK;9{q)`
z-skjLh+fYtk%>pG&yX_B0e_1~!H1hYu1OgQ0timXFg$qh>YxJ0TlfZWoOz-xa%9cJ
zf?Uql0VNZV)Jwbs7%scIpTdGng#1>Sr85N#i5(_q0+__+@?MU8>iFsne6<H(eHJv^
z(x0CA+ahUW!@hn*xQkrHyn`T5xo>XHDw8)AY|$*t{QTIeCXwi9L{G3ZnnWz4fvC0m
zbQBD$CP3+MGbQiJ`4!&#kmo7D4bIrVK1s(4L=qxLe#@Sm2<t#rxfxL|!88JYuJ``I
zvL-(7*WA#H+p4iMLS6<AKOgc^TRKxKcH03N%thj?>H8}l=^y3{ai*?XCBto>gw0i-
zCB#2>(OO?3gHTo+UjNDW*n)>1Ivk95tXtzVCUHM{5w8q@#Kqv!!ui<7@)KnXqJqf&
zX0UE0*D$UMQiGI>&5<oo1smfRmN2XLnU^V4K56tEjh`0=f(Vv=i70Y=w{QfiB9-yJ
zGl)^LWv5STMRfE=;9c?v-EITVwR&+fNUSG&ax|OVo0UAX)NC$TsQp?i&e6LEpRW42
zXPEHY+kgwXpLK!J{`SjXi~=4RZV9pHVrmn<7G-0C{FRhM|M1Mo>bts$d(YO%SHDma
zN$uBnm_=)+&r9>N^9z1-)o(IB{pl>1Nb0HX20A27o|$Uj@Ua;B7+&qA#rJ#e#4=9?
zSd%a9*>iCSo7$(q$54P$&V4C0JJ7&XkYCrwrw){c#l)hC0I9khXc2M1#t?0nwplY|
zkyGO5!^>fAozvX&EJ25|8Uvez$<INOwvX~lX221XL2_oYxQINd(l&$4wT?A53K506
zo%x?S26qAJ*?}RFPY)zg#IisC;jn}ExRuhr$S#-UUt%0(N~+NUl2i%d8(^r$F8iY}
zNL&W2?IEVm2gW{#2(6Y+A|6i1rgor$@VhSaj^L|UKG?}KeD$Hx+bF(3=(iT*{R8K9
z{XNQn_)B<>cbMcO0V_x`H!&>p{Fm0$zT%+#l+Jd%EBC5c^`62taU}@Jh?l-UcIO2U
z*wztGngD#lbIX&>^4&{*{zo6Xz53CPpN`^an<_s>KfwociLvwr8im;MNN{xLA`{uC
zu#~}#%XRl3Y`U@xx1XMmk3Q(6&ER}pAXt;m&;88|HBJc2eVP%++*JKB+8GzG`Wa<L
zasgsBJv14&Oto!PK`;r<O&<rxp$(86ac6Dsb9@!iLumyA^N2G@j9KPk5Me45%oq)g
zOG`IN?FPOO!SnM!?K!g12OuQvSgJ*VVqB!-TW#V-gl;&o8^p<&))B%Tz5yPHm^X|0
z=@9z#%2@TU1?~G)R)_-5%pxl5f~7W3kAT+#wgKn>o9s6(W<2DBHaKy82EEw!9o0$9
z7$Ko?WnwRsfEHAS!+L(^hh(wJ_}x2w-Ud7A)FZ=9e60A4h{B_{o;_2PdiLcO(M#<W
zmocJvE4)+j;YvK;qG)7Y6qEdqV+=r|a6LiHszd+sG=bmd3sR0M!H2D8n%-b{a9EgL
zpD`qj7tzCu)PrK)3>e3s*nOIpmo3?GZS4h+=<1o-OgudzU<pUjwNS1*{zeNvZZH)L
zd9o7-NX&V2Da0sy4<BBFSmQE)LQqI_FsYx<c#Q0j!%q}N<i@NX-Qr^$GXTh(_@zEP
zBLE_D{1!^42+r`HTu|XHo4n(vvFo8+U(2GSp8z<^1xtUadl|H1euRR9pfbOj0(LGH
zpK{mS>GOkbxR~|=a5-89Rh!&*VVTu;Vi-jTaPC|&TA;SmC)GknXOwCyk}`X@`|v1&
zKW>g>=k4=9Nobi02I@L%N58*d5vamF#}bM2g1*I!&#+T(UrWsn!O^_Euige*>&3D~
z%U{fp^Zto#lO5rZ%wa{L+;8{ja7r*(DpG>y@XR!%M3||&P-QpgtX7U~FRab#irU45
zZ>0SeTN1G};I;l@$%nzM%LJC6=nPV;yI`TCk}}6K!65xI(h_nej~RE2pG-OXQUWUT
zXH7Ph%l8a!X#QxTB>3ELNbUXT*jVebrOQ|0%VGGkaf)Yg8}hA9$c7fYl3;wT4h?mF
zZ5wrY_@Zip(|G+wRev+j(bPDu5NOaqL`)%3y6+l}1n=5-f#|<XI5}F~hf;%SSza$^
zuWGTD_f9o`Jrx}sstDg4>|3CbLxIP0+lCeJh+9tDcpE<6@skB&QkNp=pQ^&sBZJ*0
zga4we0}8LAC8qZ-a7{4G%)pJ?i~qjZd9N=I<yn6EX!T3^A%TFz{@P7KJ)ak6_P8p9
zFFX`E{%d+~+Kv&2pXR7T<f}u*f9=qVQ@F5J?UmdBg%{r|<cu3@>pA%6VhxBpLek?)
zW1bX2D>Q*ZdI8Dh7JFguN^@&aguXOn82Jd_j!EZ~*oadOfy$^>?`jTEy=>Q<w-x0D
zK;xeHDmb(PLM6-(wrDaOx?=m@{r?e|?5%lMzMi-Iaf(rAW%dpmE-v$xn5+_$X{<O?
z$Ky5h>NIkIz~PpZCw}lUSwa~{RM$)dR(xV$CNq5vjp9W&<gKDgR*33ew0tNPl~&rS
z63CEHn0lvw)*POd2BdREVrFkqEl_{a;NkAcz<RtKaqks`=0#Vwh{h(YH!Z$tR}xdN
z6;M=X+tIoAofL&RixI#?y#A#u0zz;f*Qd02WXo(8NztTh1pLKHeLqIgE-ACRH3)*1
z(8*EgmO1+AUipi@6SjRnikM37uYCv@OhWo4E1gl8^%SXRE2$)XchBKslRVJ19X2gd
zn_Z~2)8Ov0i#va5IQ?RAMi-aN>E?c@$UE=E|Jnzy-zo^-CU#3La-U7P0w$Mm966Lf
zkj@%1RT}&Lst3p;>6}~FN<+B<nTG<)V3gu{whjRI0&ql`U(q!<xsa;M96??aMkNDf
zvQ>`HkkB_3RCA_<!jl^L->56gvPI|MG6;9_-2E434fLOo^Rb;ghqFI#5H<Z=bd_0c
zLs>Ci-f-J2mrKhO*6XKPR^qHKhjNvj#+iiTXtx}Fkw*Eg<nFA|JaV8oXU)6h>x)F~
zZv;P{`rxEz4d$tW$b#rl_`v>9<bF3oxnvJix9N-$Q;D1es<!I^3Y-tdln|4*2_M4_
z$!F#kAWo2l0+rB(67r8Xi6Q6cG_s0jD9K33u)+WP!yS>P6eg^T&dwZJ?^xWm+-*BK
zQ?6p8i8ev*rtb3z<o^7T;c7W5;cbd@XgP;zH^TQ?49Ox6ERzfdaz_*FxgP*hNn*{0
z{&wVdL-<9+SnQh_2$)3eTdnwCrf_-uuTqA#b>2GtvGjkBt-s;xd&tSR)a1?4^~qrT
z8J67OQ`s$401HqnVlQd({Eq6X<#3S7=(0M*QK?P+b4G}m3^)9XAT=2rR&0@C95=Gr
zA`T4xh4{NF{vLyEmO3g_sXL4;v)P*ng=Fh@Df%_G*rQ#-bD{&W-Z8BAEWCk?ASWGz
zM}MeOs9;A)`<~HU=LT7CYi#}SvFkJD09LhM-LYpl0&4;TUxHG9q~yuvwF4@gvohRz
z0rBD?Mdr{NY7-FI-|=FG#Ul$Xd6d4Z5!rzRpFn2v7@gr`QDFpaAEi{>U(XKI!x#Ht
zU`t>hdPy&>JDeg0MxZb+FXfU@kGEV@lv10gLBw&`ETpypK73e!(E@XX>w(fZ3;^zV
z#Ao2;t+#%>%MfBj%)6%`&`_R8L1g~&C@i}bO9}&g+p@pfc37z=htF(cY?znV4r!xY
zU)~i|aZ(OEoRGA{HqL^jGThO_SWhc<YWNyX&Z3Az1pyk9^$gUy9Hb7zlB)v$%Q*7~
zLSk`f+4fA0s|)|(oMq8OAcRXrT04j~&>BqLT?)UbJ%-8i^D$abASc6ZE_FC+%R12}
zl(rnCOF)HhM989_dni*|^O&OrF}4ma({d5$2ZdwfbJ8dhp^z_M#LN8`l>3N^(#@9t
zdMDTvXHT^+t?t{r!6{_SDV3Vt;)7Qs)eaCool2gF$)4ym4u%as%|Hb{3PQhKk1*gY
zg0modjcqs1^ddC(uOd-Qcb78BQldkxN)&+xA!bbdD~=XqaCDR)fKm{^7ziLy{hp!(
z0~d)(GKkQ!Y70jT0%aXTd@PXy3OTrQUPOWfpGJVVnyA5}L?nzy4vGg*u6jW({W<b|
z4jaVPRzNIs3#Deu!U^Hmhsgn}J!#my@9^W}TQxMWQ@0T<PSL@nf(u*BHM~0!Oih2o
zC*G$HT$w(ZS!!=+ree%=7BgMMc5vyuW_cpsra(FFv%m%}en1aMluX5E(TitWsui-L
zeonuGyM5}2GgkbHgK*zKVQ1}+eK?lT&th@wjGoCdx%MdElA1TGY&k?+5n4bRro^-c
zjyhs9W+*{n=PygvixIr->r16alu4niBpqR|+$yzo_^JimGHx8e-ROf`Y~@iE^%O*Z
z$~^ZVpvni!V?GtKDgi*Y`+E0!9{mBC{?~2s3|_1xMD)2>*?fc-YXp~7GFe1KHGn0u
zRhk^@ONKVhhojg8!i_(i`qCvFme`)V*ywnFu=#?xvOo8cf<uaVt40nLiGcmftY&<-
zD4J9$MJ5C=pcducVPQTADZKI5H9w?g^KU|MAcu&J0D_Gt>naUxP!K~!4ANT?3dy(d
z=A7q?q;u>$d`*}ZDoJ01b1Six+q3vYkQlLMslZo5gIIWWNPKI7^=b9t8xn5CU4Kt@
zM>xE>;OmP*i<ZwrYCX74+f8ClX-CUL2=80|sk0P;WI{1ft=^pH7y@{_T&OeX9|4T6
zw)#^i9Q&=(R&Wue1$n5wvXas}cyQsLf~0lTTw7ePr?#nEP&`rd(IHMQ2NlIZRb8Ma
z{s4!v-}A*-Z?XT)wlj03e36|DO9Jg-)5syUKD<NGo{i7%DD!N`6}qF268AeXn~al9
zw`SrSq+#?YuORcKzcWmBHKlp=vsW92BU_gPm%QUeiRRLi2Rddvp}3D~x^8W~SnWC{
zH{P0pFgy8lPZQLq`S%EV4hXV%Uw|wF=a&_Hma-^Ctv3SeJFDG{eHwd*iJwNrWv7vy
zSRrcKQgFqtM6PCvW~MsnPAo&>nVjhVh*19`cqzx6qO6(J?woWr3uuhDt819c2*5J5
z5v3zDyojoMpla9KAjeKc#Z6E?e(?LIlDYNirEL*1C*DLbOEbv$z_5iXI2_l|_+{~L
z|7ay{*$&zIdhiP@=~@}?ZQ&5E$ABV;*qw_bT}mMiF{7!#M;;|Jy~<{Y9Z~K^e?Y}M
zDhQAxk5|wCevMng7&0B-$&+!Vn?h}-*y!$hCn7i&GlNp)C6mz!@$r{H56Zg^YC-49
zlV>0&8bM+YJ>+DuPdj#UZp;3?J4o#aRFS^i(7Gt(nN;9Tk=8}<L%#u4sZzQ1-gd@c
zWE4ODD>eJG7NVH=f7RD%2kB4#i<$vS{pw%eaAPMZ{p-{De!7o~8p88jEJOece9kp1
z4OI?p4)da4(*(Jg0LXBWI<^zUr#^*QI+`#|y=K?{?uDKCeCuD4?To;wGy{ZG!Q#7Q
zC1vPu?2K)wNAC3y#3=auPe==LN|-onZ=)Nw2{#Od(r%HBZd8{=1y`U3Mf@`J4h~MI
zp))9uHtI4iKcdczIwuO)B0NV>!)J7g$(ARg;_maDZ-ILNA3)BT<MV^PZ93s#`je0(
zSLqs{dO^|@>3*{M8ZclE$|5>VP?=c;_yWE7+K16kAe{1DsTHRGcyshn_(_Bmwo5l0
z#v^eA*k{y<>wg1-^R}<~h++}P@~uRc)+8zlll56VzyW&+?)G!BJ4kcPze0AmfZG6D
z&{dxv0Md>YGSVHH%p&E-pX`aN_FrKT!JEr>O$&uAkgaXOa8$YB3&Wz+jO=Zr+>4dz
z^}pW&g&PA9QisaCUU@EZ)fi66JATKNXINTQ-gE!Sot4QF{HJ|}Ty!DJL@=s%>Trg!
z<I`xHGlFI2_$p;d8T}{&)nws-oQLT2iDpZwy|Cg<9~}3uJ)Cl<wHJ4qS!`u<kJB$G
zluPYNXONB{#Nb>Zf<4)mb41eufnRIz+lLjR;E9P+HgM_5)V&%SV0vt(`X<VkPsE<Q
z1?o;5gdFW8w7`Lj$^R>ejxTQ_aOrS^__%_41*9m$qG+P*qh6dx@^iUIuQ*o26)ijD
ztSw;!HRp`FG4uH>3+LTA+wvcM76Qp3yZfQFjS{R4QS>x4sJMp6B=k66U#grPtl*f5
zJq(n@T%`1y<%YJ*rkd3oJC7%%hvTjWpDz+v_3&&bM1SDCVd0?E*V5U@v~tLv^fHHJ
zBX4=7%aEBnE)ah%#*f2_{)!hm1jEBj#;DoIepzS<dcO5{4(S&^-fHr260Jrp@tt^#
zJSNQm`Z)kHc;&M(3J6F@QG>?I+XL2&CQ%o_w#tZ_&rBr@|8f0qFvS@557pJX`c|FC
zbUSVnEruLfP_dWtMvdnW!=MIGV*=IvKe^D_q_H+=s^x=%W2>VcGRZ-ts}>np@9h`?
z9a;r7E&)^%vwPNS@u-OzR)BpfOC|yhhU>8X{{lc@I9ZYNcYeWvg9mfZ%$%$H+!Lkl
zJ*W#j?j|4o4}>Z#*l0l*?rNYad|6wM4g)4c3HWIdymnm*ckIA5&wFau+*IE<;S6WH
z7t$A<flYA1CJa|aJH&Z35YB%u!hX9uYLxwfk$5==>L!?iEl+J3+T7KatKv~}puvW*
zt`-wSR0hWg)kMLXuWv2zv)e!@6ol4_!1+_5Gm04hRn`6lK!Y=-cnWvT6ljp}7T{wo
ziZqwHor+e&lzx91Edcj~(_97qE4PFZ`zn;|(D7N%cBIP2X2?l!vWL#15TS@IX8f0<
zxmIJ>h^4`$bLfoVoe=ivf0}I>_&fVcx#~JTA?&LqA&k$lve<%ZcD$9##o4#h51GT&
zP)SqsMc}!1(^KG;7EC|tJ%;v95ADGauFllA1TiGT9=f{)L##9+mySM$c&CT7Ff{$F
zFbqu<ZD4J8@vNzu4O&(mhNen3Xb8^|Wj`x$-Wfqw!3H$IkNK6XdJT-<xfsp0mBn}9
zUhaV@equlPt5}@+U+f*cgQV)r>G`0K*!g`yHRPtI^ZN`W_<h*<eJ&j&_^0#xjL%y!
zG`&V7_^0#xjL+ISKJ5HHjLsQBc79(_4GI3~{61rT<#c|Zfdv0_exHE^zYjaV&-oDv
z{^|Ta0||Z~c7C7p4<z`f^ZN`W_|@6@eGVNY_}Te=ZtpbS%4lBpahs!_Erq>!wJldQ
zblfN%0J$fI7&F*H^Acu|2aj`(vfwdRhLGFaI(5wt26qqGvs%DRnPDT!(@#$fw>5+2
zOhu~9+T-5?wAh3j&gBN;yp=@G1RppqBNH_ATnaqVBE>&i^D!&8#2GEKy=h&PRSFE^
z7x<Mi`O&}N1`(SJidP&AY-v{zJ(@tj8`d|8q+npGrWMNEJwTJ#I64uXE)?ge?dSio
z(2{yH!1%jnGu_3(8=ziO;}W8p69=_jdE!5_ZExBFwlL?&#2kol)b<}ECSCtW%3Pt$
zsoE{ve`B2l(fxU&W?nw>>Rc}QM-=y>0>g{Pu)<afKA8{;ZjPN~+yN%>&zh+~*TPF;
z{eY4noTopo#&){Q^e8?7mf0;((UDIgUN`v67m1GAQW#u=$}myzUzQ?bIN2T=LU~rd
zDCK}WY*fM3Ao=rk^aWJgm4kUZgf0()c*VG3W4Hrz<d*>coVt!`QaDv&t_q@ROg|H0
zeKHCisz;1D8k4uvN|`$wXf<<O=gc`laM8uIQ}Uz>*l`=9H%1Ini)+ZVDU4y!xV`KQ
zEu&zSx_=5Q?aZZ?HQO>ooMj9dVLs8C?3^C7?a!7Wz*v}>I%sSRO`moKzBT=@IqEtq
zfZm~=5`lmOzq<bccElJRI74n9_Klco+}^+QRc@Ppl;2;`n(gd`=&Z%(Sd2Dqibt;q
zvadbjQU3$e&qX{MqQrhBzpK%j+S88;#SqNa)Z6++VhC?TY%*|@u#jc!q3vfe#8#@*
zdMo6Y=^;q8_Vly(XIt_kaWpmIc06nE^s_){;a@jBglFw#KWjPn3^_mGe^dKz@oU`P
z1MHpI#;5Loi)|g$>VCH5pWeZ@+jMS!oc^4oy8oH!`ATNU&6&QwseF|ZEXtTHqX;|r
zc>0wLf3}omas4oK0YlSke2<~I?6)nt60O<5R--zJGvs<%Bsp$x`;~E5HnI0TWV5<|
zCVMX!>i$aXpS??ewrpYBE5_LMXidTvnDVH0@{FJYdxc0jRhqA7KlacDb^n#@H}ZZq
z+ftUzZDCaI(Yd{sz4$-6X2?+<iD{G=+$-X)OiQ4-yt+RZd%fPBSQOhDGLG)iF-u@i
z5p6d^uAMF44F6Sedm(&Nr)Vyy?k~sQT5mKknRdGvE$5;&0X$6kw1Jz?2+FbNTb@2c
zPLyerXn*bZ=rDOMl)~=aq9f@r{T<aa`b(x?Z)`zj(ex&@L`CbO5PRx^M7#WKIjxWZ
z>P71!9AXd6wminRevB}Di)(u5w;5?6)3bwfwQncuS~2GA(AmLGs52y#)YqMz{*wI9
zmaEw+g^{~OX9t^R#*mOYqrZLn+<Gt{llVkC<rfTg@AMR>XIqL-KgusWTKCrU&=7`z
zAu}&GWBZoE8EL?@Hc_7dP@FH`RCdcda$aZ=lOKDigjtMD({I<p2dS$Pbw6YF|3DFw
zKM<{4q$^FnB!|HUOx>Q4Yr1EJqhqK9JIw1FN);%Cld-IfJCx<_f_@**yo2T7KTjR4
zgtB<woU~FmYLGyUbdDCxmm!vj#9<szNGzy<C?L|Oh9P*|3(C6!s7+|7mj-SHBV_4u
zmH38#I9b#J(L%lSOz!`-L1Fb#C}3nJE(y7#cm)L-T0vq?!ju06h~x)cMJAK+PuSIw
zn{YeTEQ-bY7v5JQ)OoGp(?<>U)~V&1go#uodcnuN1&o7<X(2UIbGq?AaT)3r$I5n<
zr+(_gDR?*OOu--G$*Lj2`x=<9I&aszzBwZ?Ggy#@TzeME#CUnr7TuS&gb^ZmV{g7R
zKy*g5=iO&*xch<g#CujpQQ;e5!pW$kVMYUwkC*suC{@}(?RykWB6T0IPkOoX_NFbf
zQT#t2md?PP62XK&!#g*{3NE8q@R69;hQo;dr_N&A^&k{oQ|^TT@tFLAX~ncH3M2Y;
zZ2hCAINNgO^lkqt9=8xc^3>tqfv5pPWZg&4Gx{9U(&{q5G7KpamXPqMCoGws&xN-#
zj72fUsf%Fff4;S#vUggLi>^msL(X<;cAbV9X-aI}#K6yNRmVV)H^>cBR)nF;TWLQn
z?nAg|TI~JtmR?Y4KYf1=@u??Vm>zoev*j+fyUeK6(y^k0Anps}kCQXfG^ZaW_`6Oq
z0^_MgmFb+(Uo<_1_0N{vY<G`wbcc==J2%XTmYI>3_CHhX(0MpTl*G!)_|NDIO-~WK
zpt5@U1q)`Xcg>w1GUTmP0l+hLiwnfnyC&JY$;en42WN^Ah{O^jkms04<@A@_S9e5D
zpIgiRcU(a8r&hJRv1ol<NtCJyO-Yn%^Le03s{Q&uokD2(yWP~<43#4r(h{-3-iDIJ
zdU4awEs0s{Q%8czv?`3@ebwr0!WX09UW(#*{U9;9NovrSA9<=_3H9W|75-`WOa}ks
zgKjU|27mS|ZJTs={qcpDz!+4Qyh0n1%KJbGkxWNX{-f5Y6D45_O-9~cpCixB(AmC7
z%5X7IMYKXuboVTEqiz|9qlqOgA@2XKZ@u=C@n>mZNwk)P3s6<q&XxPW*rlLAa3Q!}
zmp3)KZ&<Tt%^c<3?|Q}ruC--9Qkp#bd00B0FbV*8P1L`Hu;Q|29rUu;^=VjoZK>B0
zmx;N>eI|!+eT&)`S`s@3MX!&_%w!L5-Fi0Ld}hmkeQce6NdNs4P^$rk-~a0&d7UmB
zw@~Yt|7aAteH(6mGn#1mfi||tH6-P~=ep??=Hpd5hn{|O@@4PTbYZ<?*Q?GipqbS6
zyPW-BO-Au|bSO>G=mHgmYSsud{DFE$%6bqS5R<=VE;SD%-V1W~B7|N6c9(yn*b#pS
zl)D%$$)(6L8WZ?Wx}+oi@$Q)X)pP%EO5pvqN<YfBB%>Nu1HDD42^4B;_I|liR78$H
z)$=%hd#^w_Gb#W>?d07uv%OrME@#b3C6(Na`yRI~Jg1!W$UeCZR?3n*bR=mNj9oro
zeF}7e%7>}jmVj$~%J=_>hL|8;spr6B%A_@GsgCTWw+5_ok#nB>^2-XXp}z<0TQu?g
zylM`r?3f#jNJSAPYvHw^J~ShLy6%Vh{q&=SLA7Z1)b!wC;+h{4$G)N&&Lt|J6-M`_
zA#&@f7oGAz?TTw_5AXX@zD>c+_)~4)9F%q=f}thE8+N*=eBL1b4d~ZmIm-iUVWy}I
z@{3*38|1^6QHRPgL{qCVJIYa4%N%+6_aVeGF<RPbxDyJL?0t%oaDZtLTPi}MWEUCG
znKu*N5m`~oQZqCYI4gYDdL8nOw3E~?(jB>}bwA`oc-@STz^=TyS)<hHlKbyXz0<e{
znZK`_NhR8$icXd|#+;yo%PC|+B`Ck^F9jK>kjbTH9jJ9o%1A_^8Zj8Ca~47y*=)KD
z8bjU6B}JHQK<RDK%~_LGp~`!7B#-=Grnzjz)w{$3^PK35%13j@gJ1S8Z=*)Dgac9!
zfwV*u6s1wYwN%-GvN7tVLuGSUlibChytgm@Jz&d{M{Nsn-z<)o`jpB#m-1Em6`;AP
zFd@rH*G)V#S_i1bA!#8(<F^ue23_$<DAWIXSDy$kWmFfVri{s$%i-1HH}7>cf8EDZ
zW=LHEm_hSk_M}IQR*VLAs`#efA@s!wm2)n&x_ZyW{BJZGqFz7--6yFjCOjB0)Ev9&
z<S5-<iy985<wr$e9xQ*Kl7-^2(Xmo6;Ls>5oqC{A#huGdsqqw#2@7HLIP?c0DGy-e
z{*DpqPYdO?H~N0Gi$A&`F`K|p8x$gk#pM6b>tr?^E%k}*ayg^V`xW_5bev1rJD7m#
zdS72S8m;zsQi4kQRIyBAeo>t!^@TJqe|b?k{K4wUiD1?LD6}+j2&x3g&Mvb&D>Scn
zt#*(+(!<TD<wHgIaSb#cLQRPHYubs-mnm%vSGfs)UMt{sGg|iyCDKo$g^4LTuUw#f
z$8jiNkgbkWBU?|acfX+idMQ<Jpua{Q^*=iVhpA+6Y~?){)ZwpUN*$aw$~X`-%*#t@
zncb0!3!R_xhsoQSQvXoO&@zkp&;#NkVHrRijlY!d>qfgoKgd!-YcERl%>e3CYppL8
z_x5nClH@`0wc!|A;#@=<VCwE;^=8$6P|u*gq`y1fLCxGFT*(uqR>oLUa@#`P-2<6_
z2lat=CXR++1^_#*-+_yzo$Waugy$%_z$Kcatbdp?n+tfY#%{S#hfn{~Nn~Q@D(hR0
z<J#_llN?M9pQt`I2qmtmkoL34nk4l!_M;My-!(Nwr^c&e)t;M%&<^O!MRyU}VGOTw
zWJ){Sm{grly1I<9`)B(1|J5HFqyLZQ(#MVik01r|d%%^eXpWEz>X5F3!j#G_?{tVj
zQBpEG0Bsy?KK{@o+w)4{QPRhN^zB_cv9`)(Zcro&${QJFvICiURMEKH;EZ5M25^?D
zG1WJvUP4fNXN41XqjE9;b?pz;)7RzLI}!?wo3xlRsc#}T=L2(Zrjxf!M~;a)5mE~U
zV)!P*gyc{eCw1*{AM44N>q{EhV1djkQOPMj7{WbjkNku~@uw`pv17-4jyG67OlTk5
zFiEAgl)t4eC6u_OmjDg*k$V12#+>|{*HQEP$3k^(W|=<<`b;`H&{?JEs~MsHC-U3j
z<->*Ecp|^}?*82h;#7sotXoDOor}<^O3t89FGi;nLztE{8#jm`vzaGykJO)nGJ#aU
zDubK!6civ!8*09hgWBe1@W%s)21F|*E^|jDVe?e=jbtl#m>YF{K~<^>Gb5L^2{)4(
zqfy46q6cJlw7^TvVy>e2=Jm~J2?C&TTQbQ#25H}jSNyakXh-$w=ktUViAQefaqz%_
zN|*P9fT6b$)k_o2lGF=%{^(DVu?vFSv`TeYo7lAQYM70SeSN7jPBO?Tnxg|<w-K}0
zf!3D;*0|-jK`OOZ8SUgFgO4g}Y9^@XHYT05@FOMB;rqx_uK~1$xP-PLzmg&#;0<YP
zg&y>jsvaA#g#qK`O$K9Th!{^4$bj@YL~W<3t8_yCaO327;~^+S+99e#r;^wXk1P?$
z6)muddWF;JaQ(7)KKkq)j)00Ji4KKk$V5p1I4{(Y5^vUwq#LuB2z3L}#9Ap!Or2SC
znB`^fbrbZrVxvqUoR^4`OC1iMA_LVCd2Cm^+c)Z4H-uueCPa}5PEqJjlaK37Ifuil
z!i+#w)Q>kn{-cM1<C`+A3$>}vo*gb@rb+Ek6%+>G<jtr4j3hi#*<-y=k(Fr%9C<9E
zehl5b{7*i4w-O}O8}hJA%r+<JTu=*scN0mRDw+nNEO%^0UVw;+LlhDddGKqNK$S7O
z3nXTZw4X+XyCb5RbRM;S1m4(8RC;ur+DJvo8UTK&86x$as2OXu1tW-Bc7y0ZBnpVA
z4K<<YsocLOmuj@BhN2m1%>eWTh(V$CW}@X0yNq~7cIfe5GaB*Uv0@js<f2|wx}yzf
zC$tRyP150`)BuL~ZfO0S=v)t{xqHVD;`pe3+cPx-?@z%P5-T`+qCd&%0|^0voOuwC
zD^<-L;A5dUI>EHm=O=CN10%>%1%pr_24CBu#0iw^oz#RV0wzVSh6rI6kQ&O<=$oMb
zwQYye0JKRknoO)k$DPECZ>V$Fu@O|MuwpbU*rn+&c(B8>InRH`Wu@K%{hDzQ@Apv8
z5|Hs%6$0K4LK78`$!gpuk?h|tDmskT;<^q-8e)`n2DEGsQk^&gf!zokp5`4cg^Nr5
zoey`(NUm8E1j0mWbwAq2*)czdgs#slp52$>@98%-LZ|6%u5R;REOV=&TkpUDvHWEY
z#ClGF4=GL*mB{o2s|g}nQ*V|OIH@%*Q80?tu314xyGlL4rvptq94=f7^*zTo_Zb;Q
z64OipZNPQi*sYHYJH{Al-`@49m{IE!o;j~1E0^CTqf6c_T*QplXYku{K$S=5V(K7A
zeKq^jAOO|4yk5h_X>aO(1I2j=K8_IREb$pOXdw{i6h(qWG<|CIKU@b{xeX7K$|sPn
z+?Q%uwT9V$IZE2&>kd-fl?wSV;AX5ApOu@t1=>hkn}VJ9P_CHlF?@04FR5pZ>o?u;
zOIE?|-@4{!JT=nDA<3W)Xhgtw1{q_q(&_J(ZC?+CrzsEe@*)m#qXw4bw4f~r^?x7&
z7>XTE^dDlVd7?E2_1#f-pz28Pmk*J}C2r%`Q)*S~G)xzSx-t=`vC5_%5zT3c^JC9T
zc@eVxG)M>*F1PNevB!=Nb<|>kdGm<>4sCwF{{>pkY(<KIM&!~x&>D29<9h-|C@7^H
zjvkQ-&YkBD)jNprf(>|)n#R0GDLJ#xJdy>>!~rEHI`TO|ic{{+?nL8+0`VlI{pu(^
z>C{n8y_KpA2N6KXTHZJuTq?4u=`mj#^_Zpt2F32j@Z<BTM-u#@LtPKi_p#@$w8v`Q
z_(QyVl=}~qcu>egkwIksd!#VQ`H^eO8M;N}q>+>D4-^{EnZdm3L6xNgIj5qcbW7wW
zF7;DGFFq*Py_6+-=+S*ob=-oQ>_RDI`}#6_2vRu-P_&b2^((a(AP`9G-vG|ba&+jg
zi4&JJ?J6B#Lo6*)z;^IzbK$Cg6H8<0{N3sD|5bK=Ax(v07@yT$ne>N*E)rs!?8>5`
zW;IK)I<;I7LKkJ311T@!tp7$JLUADIj|U25d1ku_irI_>F(V0a9*d2nd1ysKJG5>N
zZVr?@mOamR-Az}!**P4x^S$r$e&6%{UM*g@3AQJXMGvFN#DkuYY7s7rBg+M53QU)1
z)1B;64uJR+nViPL0-Sp|_<?!<EL?IW@UBMb;v@ejk0B4w=Y6ar=niHh5;HF$ZFeE-
zvf(Y4aY{}G3}ciq+z}2-Jc?m|(V3&TTfkBh-8EWCTUxAT9}kO{&EH=J2KwN<{}A?W
z69ouptgC8#yNQV56<D-&tw>JS@aE+KO_ezY0T~BscZ_`@RD#1mD~J<0Wc*_@nH^YI
zJF)kcN0=3`4KB>Ow~HZi!ezWkDfB6=<=%oKT4q+)|BMg?*V(Mt=$jbTAo<Dt@N2#|
z-%=A(xqiEaHTP*dXNZK2vVV+|0K(}C$96Kq=85FE-`GD=IX*}%p%>M)3RU1_16v53
z3>UZ`r>tONO+06i%2bfyYwzRu1s&vy$LRHO(wjOPt@-_QO7Ao-z54{~29wxlY>29m
z;)4A23iKiqMeDO)NGxR)p=#GT>_tpsd6{_flh%pSYc&gp7;zjr-n~b>GbG?4s&^As
zNQgg))UhBOqeloh0o;lFe}qviHo=k;oH+*k<kcAy)N=`M_3?{eY0YEMoJ1}Pf?%On
zA>nle4kRZA!JQ1EzL5a+?S(zc&5o)Nb|Yd}lIUx4vz#7+AaL_RAbNUnoaaJ`czqUj
z{#t41hib)+wrh3^ap*4mM0!_4Mn7K>L2WQM%pg;K@02!l_*W<jwH1wB6srRV+bTJ*
zVx8Nsz}jY7TR9|!^H1p0zi<zKPQ#5>8P}JJ4+Gun>tQB(0_B!Se|)f#*dod}c437#
zRXe(G#|!)9qDOOh%2*1d!lJx~BJ%E;qdKPPUCE@UmpS&9@lD>5b-{QKu-o|jk9jix
asu%uLO<ONEMxu#Zys6aGyg$}>rsprOgb&yN

literal 0
HcmV?d00001

diff --git a/_images/4ee738dfd70ee746d6ead36948ff067760abf3376dadceb40e5dd013613dd292.png b/_images/4ee738dfd70ee746d6ead36948ff067760abf3376dadceb40e5dd013613dd292.png
deleted file mode 100644
index 7f7a08c233fb6a4768d6ff5688f33a91fd95750e..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 21684
zcmcG$bySsMmo|QoQW|Nb5di^dX%GSFmhP5rlm?Y9=?3ZUZj?s4ySuyNyN~bt&Ai{t
zZ`REG@pCPg$T`oQJFb20y`KO%8BtUuLL>+Tf+{X1tN?*L;fFwAN}nQt-{k39$Af>k
z97I$d6s?UNKI_>TL8SE@Y%HuDEKK#uoQ&-3O|7k1-*CQRqbK|1;9z6V&B$o^Z(n$0
zZD+zrN=4}i26<*9re+U;pzA^Z!sH6%m_i^Q$;E{QKYmHtpLce{KED?@nnV!eeE%Eg
z+1q6ajQsO=Pk-oQA3Y`US3WkQlBE2qz~CP(_p#C}ulrcZO#bEb{7SEL$ng{A2a>2Z
z;n%Nmevqj={RKNsWA=`vMPP$@dU`s3db+=Fpl@LJ`pcdH_<xUypT$N~>fr6^!xfw$
z#yeqQ;WZd>Ck`)ve}5Wn{3{Gh%y1K?BXSA~ib35aA@Fg^uU0?sA@4VDbWBW4X9QSM
z@YzXlj1xzzDdCG3@){aJ7yGkqo2S$BMBo#acNlPPm-C-F@6SfVqcZ19+FC`^s;hCq
z+)f<dz(D#oM@xc+Mn<OmgWwbQ+Y3lLR%}d+vAsF?u-pIU#>LRYghQ*Vis?xHhi}cu
z$jIMS)k$Tt;k@F&`X8<j1%V&BH3Aej=%}pES&p1<wsVFnOk^vq<_W(cqJJ<l%9@u3
z3#LF6t8F#u2*jz~OmSth-;lbyY<cXc+e`^cPp5FZUXOL+2mxbQ#MpQbHaed&dE9*o
ze!+oelH&X-#d(9E(sCAeP~fp~UYZh&l}Pn*$$q8%nZ<lPPOPS#_-J)z=1Wbx9;&HE
z=ZYP3LPA109UW3T=vVDOD#4s?1YEAKw{8uuG-*9I3m++Ic_7S@Nq#?BtR+<ad4C3n
z=kviw_x?h)ild`8bd81T{MWi|2tP|Py8l$%b%CP@2);v={oZnF+=AFbs#?$HcDpm)
zni2M7e7ygWU|1rTBvn-^m7m!A-Op_&aO|U=zKiH6gm6;HuNQ9bvmc*=`x0A#)%zaa
zvfS%_auQ6sNZZ$}tfZ8O$QQxqy0?8Tp4*xu8T;nba5{V_5!dtb`|fbc?!LZ{?$Qzx
zNZ@YXTNx|dhUwIgxs!syDuiEriKCqfY5?Pz-MU?+H8gLj+ZN4~lArJwD0g_=se<!~
zOiBudfkn{0zd4tl1rk)|aqqIWxj8%Xs_5}5<i+YN8U;m0A&OLSeQz_#k?Na+KQVdM
zkCQE5A14}G8`gu0aVGO&5h)H&4;soy1(cuRTtQm-F6X|1>q7%e?Fc32vFRfIymWQE
ziqBz{#IVn`igLbRS9ffQi0Pa-tlQa}c1>3TxA2A1AyHjdS82&;9B=sd`}@uLBN3Hd
zJ``fYTjmfH1NTSwy{@qMA6~fhs$>p_3tD0_GPnq+gfA_o%R7$DVZFT|@1DXv$*#=u
z^b~~rw!XhjwEIGF64xss7{{a1sNz~!{n+ZA=II$2G#*xG7;v*lS7abMYgJ_c`<2Pl
z!=`0L|Grv%7@_I%@@99Z#QFYwi9h3mX$wciK<apK<KU-jx0_9o`uL8ma~^Wo)D0${
zBh%sc_X71I$ckvP!f2SZ5a!jY-k)UDq5@)a2PIC-6SJZWOabF_b>Xx6Y)k>?n&wq{
z2b%knC@-=f67<@>-d37r-7iE$q?>1G)jKI!drlUYk+O2ddxz1*5nolBW;~G2XNS=G
zU4Gxtl=ELn<7&eGpi?ku@LU>$9Njpb&)ELceWA`BMQxa}uD)`ZoJ;-9F^|KLM~JfA
zXugt7Y83YU>7}0lzIBFHL_{C@oSi-8qg9o)^@1yt%e_o35owONY?u{~k3KEL4#{XC
z;H<V$lTYs=JF(q8Ki{h-vLjLbP0)<_xE*D1-w&9t*Du2_NV&(Rn1h1)^EM-55jAZ^
zt}cZ9zHU+}q=?&_kPr(LH)}BtuC4WS&(2njKGp@{?Ft;i5fBVpa;$75QXaAzih(Os
zdXK~8kgjw0B)33uQRb%dp<6m(ZDB=sO{SN^BAEwv(JkXK0f(+VaV}Ce(EB^~)F*h7
z)lQhh7E(fph{VrmF~P4358+?qf4^UvVm@|Xv=1vwHE$2V+L;Ak`LaoTya<aJsQ8QO
zq<V*n`o(qPk7U%n`GV#qE^fysp(NuT51XlppYOhiNyB4D>p~#=vt1s2Xv7qUqZy)L
zbvUkW^iIbeJF`XwW<L;Oo{&+?A-7V(^SP|?VVC#5sK13-@oB2%bVyA~8tOVB6SRD6
z<o#LBf-jf159^=WBrAa9s-DPNAS!OYbCNCnYe9>4i-41<vgqBZ35nV`?BlKuI1^vB
zMs-06`+<;&LgTuDWCH<@Li{V$LX*L*YQ-NoqjUl3Mh^b8gfBP(1^W}NKP<==H)^6F
zYz*QZ78D4P()o3--L^b%A6>1!tFhX-m5NVa@Rd&VVmA+N;b1u3Fcr8w9o&J3MDt;o
zd8@Mt*)pgL*APRvoq`+r6s$E1ly3%kyp@lf<{isOPyI+K4h=FV!luCjr05c=D0>|f
zHy*+%S-uUEXMe))FOf$+X>f!c;N!q=U0V;h7E(_QYUH)8)gPnLZGUR3no~&cmRd-^
z?{s%w5<W}VqbO@CkfW+y){`s0Y^j9cIZW?tb5OT4dwV$v1oI)(?RGPD_ffN{wU>5)
zOVs^#+N8@vigMRxf06X|*r21eOCKJ7XV&ud%YE+tYf4c=greo2s^Y&~Gre|t>Ds=<
zm$NY2gd;MUPe48|<jvDn7^B+ETBglfHK69^J>xIVgPExuw)%6ie`Co`fidK9a5h?%
zs#uNVPqb%RccFg1pCM}A@}Z#SLo?sVW0tn=I=1>R4SQV7`|X@59djxK{<lZhdsf~J
z?Kh&K-Si3&ejD8_C!;~j%Y&VgmTO~MnjSF^RI&jN1q2p$_8pkMT=~}DJ}XV-e%*(7
zH3iqRi|wwoarLJ%=l2k@p6_%%3oQP5c{jhZ#+1b~b!CGlhW>;Jn6-SMyH-vq{z=6D
zvHsraelxi>aO|t#H;TiywGFsRQ^l*df{?e?p`IH4G)^OCvnM3oB`vsz){XLWq6|7|
zwfI+?0v$wnMn`YpKi146puBjsprY){xC?<G;|g14@RCxG^iGvDrjtnJ4e!tf_%1N3
zS3Mu}nXs7!X7-WKA=jhSq&iP=yylNd!~TM$<%<<^Mn<>q=|6uu>u{oz1UH6-$Lkoc
zIyeQHI%2)ex&7h47a5D^!n`%X;5Nez=}XGv*UVybwmU)|xjlqUb<gIvmrpn#?zy{O
zdH-{eH=|{dV-X)Y8)9!vwLRWjxAf##yFm0qf=G?A^i`}l?Nq}~ezzqJ4TkF+Jb7*Z
z=BO;+P_ICQwXF2`W8H_G+1b48S9i$Q8~rOzO?QlZe(0hLU1Covr>9m8n2VSPe0{H~
z+xqqQCtd|27A-C3q*CbYoxNF;(DAe^<WngAV3hUXu|N9)J^SI5)Zlh|x<d4}PQx1K
zu<FUvyqLbZx}CwnRO>=iHMQ2Mvb5RG(D9bimWTQqC+Cu+#)BV(9DTy`m9%VRa0vq3
zdWN}@ba^upC~oxG?9CqQ(Z`m48XXN9iDHt{sB-d{QkBuKIsW+RtyNb4G1clGH<mZW
zc~p!DT+hSFh<w2_@#Q3sAbR86&h4eTGrvM<`nV#Asd98?Ho})>pCL=eX8aUhhROP>
zn~SKZrIvG-w{t95<AK8gVmL)G_9tEGP-RdTw+@e3rm44X6IOmrhlLd@8jNx1hlctl
zE8S6Vs_6wj>j%%CKq0>|od#QjE4Bj-E9MF1yxg<}dWLsN*={>gWd>$cmZCz|+pu{m
z%PK7jp4tftMM^N!pN!V#8@xL^hb(hswsq#Je6QDL!4e8-{B+^zK2TGj!aTXa{%p7e
z&fH2tyOC0(T-d!q`}eEx=}b6XQ~Y-rW7G_}*Ox6FK`X#abF91AyLkKA5neW365hru
zl%J43{A^jADC)H52)=l`O~6EU!hhIO(yWCf<#G-dq4rBXXu?Oe#3bEP<9z?5Re>?!
z^KZC&5~`e1eTVmqC6f9tIayx7k^&L*&M#UNNvnK_!;hzZXNX(G$XFJ^D3Vt7DO;F7
z<d*c2$;oY-!lMoK=5~MDppid3JPVOxxV}`Pr^BO#GqY$Th_T(Z$aMLGaW>3M9j8VO
zRQ*&WJm{O!ipBUOWb`_=gj4y${mO&kM2!u=emAb#W$0SVGDfJKV;4l2m4k2tnjqmP
zHfwxjA7;t-@o43GyN3??f1F+i_s0dkq?6<uayj5)wi(*(iGCtX$?ka8ej+j^78*9O
z=o}EPiPvB%-D52?6cbJLP`q14NdrAoIy1^IB6j6BPS>PF<;u==s^b%Xa4K5vM(zwe
zj(y5fUS1#8PgI&wnO=O%e3$2FZh)8khcV2ZyFybs#D&S}?9*D_rNYwB^DL7^egjMY
z^`P8vBGRgsQ#)n2LF3UKcMGd9smv_3y|~ifK#17cTVoi~X8EsLi4B^aMtkLJZx4VH
z71-H(+pc<z7j(FC6f#-*%&4D+O_yht1ufSsB0LtIi@X!>{TzTzV`R7`%N*Nyoz3N0
zGL|g~`_7cM)WGk--1QRoaM4xv-nnRwEKAkbzH+Cp8x|hA3M(<oQvIGlF%dTJ?xqxF
z-6exERb$K_VsxV93I|Wvb)22AL~I91tS|1iikNW<+WbP!U-p>LB|9aQ8AvJ)Qo>8r
z)pf=WmX(jV85pdYo+}I$ML#t+>_+pq<m?h7{=3tE%z;FSeB6BR1a;g%SUOmOyo8m5
zxgwcMn)938$MeB1pY`Ey$lqL>81RXoWX^{YhY;Tul(f4xy`!ZSm!gSrQCJbQrV(R=
zQ8uIdN!(|;zD(1>l9W-E`PI!eGhW<^Mn_*n-8Ve%j#9J};AQ5cvbYJv*CQ5a`a_>`
zRF%tQKB}9uvv*n65bTOalptnlVkiZ%!Adg9saMj}d&yXfBW9GBSLUo0pn8k1S&k!Z
zoSDJ(fEieA)4}bdRERk<SzVPIL+9{1Y&_Nf2NaO9<kktoUFeVX@2q#+nO$_}Xx=}f
zXc1_9D<LEE36-#<bOrqsl>;A{cMXr&G?|v~gg{l@JK_%i!)uPu`)1lDlOlL|)*J~f
znK*p}`=}NAoQVFsmb0O>v%}>S3~k*jMM>k)UYXl&4C?-28kLX~_lbmqQ{jy0yX(cr
z&KhEEB`pTr@Wu_o;|0`3^&;I$RXw)+0_ZK-o0pfj=Pi!FzoivVB6;I^H)sE=g#pY>
z=HG<F&K{nl2ixj?DYDQ-vu=m^yeP2$U1^b*6O&0L2Yt*kQ4ufB_51RXMdzZ{G1OFI
zI+rO*`0xCrbR5)$5zm*ZCcStLFb*Xp_N>BrKDm<xE1PC*oZfc0kuqMKi51p<sxmhz
zq^2Did_#}zN4?RHb-3=Sk@-$s+8_h}<NCVD8~sn6+*)4vjfI+d4@nCc`D4oO_~Ifr
zAq1vEm2F(f+<De28xK)Y5c`eX!(Cr?gd(v&avsMj5r{j-?XA>kcMn58Z=2jO1ALX`
zSu#3${rhx9h*OI+LQrAF0(!l^*pdkFa}o_t(eRV-s`kMXvb=P2XQb@?(-AM(tMrHJ
zgd}!j$fd<3*{D%PuxOGl!40Yvnfb#Ky)%LyEiQ~H8o0DouNg8jg?Uwa?~18YN=vZ3
zyu&)icJR9;C$PdR2$DaLgbWIBRDTHPHB~7>3nhcAVSnq3K+DcPBgrfFM;M}C%H~q(
zl(pIU!QQ3m=1iUxX{Jo5MMZEynQrDsRHmoxq{L8vAIgJ9iFOEdHf{!kg~p+-tgMUi
z3aD|TTx}Cx)BJ#Ck`W%B)@1e3-lN)0Rji;oco2_BU+#h;uZ$Z#qfA~3W{83mE&MB&
zbBT&Q9?W>6Ji@0<!JgRTp#qiF7!e6?-9sr6pD)(RVZoz2(@>>Qs(9M?vo0W5SZ2J8
zveaC~p@f;GKvJea)bxC330}G&p?q%X*M{5fVw1+L$^D_{&TL67#o5a29CEJu3pl~Y
zbKsCyI?`rw8PWKtU7EP9=u};=N;$oSt(V6?b&QM}18j!7s;*ULZbd;E9x1}}Jv(MG
z{Us^xh=lU}ao3hdv6|%G7OIIU6^4$D;MVHK0I!)0Nzj7xq(;G?0c5wzI}hC<GG-Oi
zAu{t*c}n;>WqoiQ#p5_U+vrVheOxoY&4p!f{$Qw!2h_@$fW5VRDZ6lRD#~l;n8%j-
z`gSA;J5RKorf9_*!ektLb5Svf<~}zUFIu)%hEJe9`j1K23j0JuvU2*Nh+(6$OuDAb
ztS`QshR08N+`~y3m&qdTO9{&NsL^RW1|)QkH9RXL#t2+iq$5*QL@np63w4c*4?Y7Q
zSq(PiD?JqfmGIBCLx*)#C)WWdU_awot5LVEfkl<_$=*DeiBKvJb$4RSAI~zcOOWI#
zZFCgm@kZs!>DosFDdm;ygq0rwo>f(XV4EK-fXpDYy61L23{+zcI~$0P2tRK+LprZp
zKWvJ=&Xu8C`vZK1%q{xo#B!FOqUZqLAM?j>QwjHzp9jX_+~Fsu@aet3T6|VD_>Bca
z;Wdr_-8vl|U2SJ9VZ|#08pdJ}eqFN`?P)P*;ML|!Bxze3;^&krxHq^drzofKbKE!8
zaFdS9H(kDevOS#P2O(Q~Yd%q!8;bc94i56341=l45)mEgJve&VP9k2Kr~IiO^Mo6z
zsE&yu_>>Eu-fIP~Z=62+z0%Pcs-i}4bBa!a?fDp;inz@h5rxfLed2hz@WQQV!o%~i
z!G*^cg?aNX&pic3@YC@7TNBB_#Orv*H)wnwwq*|w>XsU{a`$}7AN?OcTiv>rT-+L6
z)YT*m?|zniVem%s?t0L(6R;JDBsJEH3!M{iMn-j%JD;Cd<y9*rKQA&AqbNArp}Lr8
zXW4U^wQMzt4dCPJt*WdH%^}j4|3eur5M%c_Fz~BDMj<^Lvx=m2$i<ma1+M9M!hpvP
z_E1*PMcviDb^q;bUUVyuX@t{YCkP^vKl@t8P9BHXULQ7Uzln_B^lU>Y+Z-H-?|;TI
zHs0*+YG`cyc78@AZgXmA$m{0j=En=na80%N+LywGb;c)1e<H*JI(nb@h2y%xz4!Bp
zstAACt0q2jG))<nOKLw%VQ-vvv7OP}B!bLLHpYzyu;;@mCF-GR0F^ff9UU)6UhPy9
zOek)_sr)LJ5`Q}9`MVC0FcQA+#aazW$=r_52Y3#7^)B|NfA>UEJL<67Z}gQeGpjO<
zi3}_55?)@<jh{;#<h+H`?UakXyTW>f|6)b0k<+1D;`;hW%SO}X*(?QW2fnj44o<&7
zSakGGSMy5X62E$z=SgY_FQQqS({QyQS0N4F9}GF8EV91j0#8k9^+r`U>k-%Bjk%qG
z^~SE>TXHJz&#&g(FXvU8-MC)Ae$Ax!8}4qM(eoGhRnBd~_Gk_z##6R=G!kC?oC$@O
zX7ICn>iw~elGgclm2l*Z2vW*1afOA3nR^`o`KO{gQ&?t_q#w3$JS_BGO_Yq!o=j-`
zI!$9Q(n=5<pQEB1Gma5a7iOD@cp17g?H{4^tXoE-zUSCm*3^{NjX(9ka&sUV;^lf!
zhuG$e+Qzk+^eq63TK{0KPPJ4Q1~7|kVW|-jUn?ssf4t!G(@uV#{)MSL?h{)SUO#mT
z#Hvx=UFTY?X-4GH2d~m^F*E*yI&iS4sW2P#IzQR9)G@wp3YjBBpEVLV4oB_#SNeZq
z6M7d=O5@0;cpqXnGa?;|?v^c+97xRLw6)-Jc~EpS^XnVp>Sn5EXS4h5%IqhWXdF^u
zii|#*g`Ai0Z1x)vm*kNXIFq6^W7?zPo%^8#Ujc_)r*I)E*5>%l^*mXLA7A~;S(b)H
zt7ehd1kgn+J8s1IK8$ch3}g)E@QKWu^1YD3l$1@3CL+BuG&KCF)8bKIv$ke9K4~>u
zjVdlK&dD$%V(b6(ox{1z^XOsi@J~bnZ?r9Pq(>J->pCODjR?jf631P>r#EfIo%g$~
zODxHHA|YTZB)@1?)rj^^u=~Ooq3Rm^*5YZkG)5&XQO>yqr+6iwWef{PRX2a)Tg&Gg
zgQ<)bv(?g56((UvD?yA%1Ox=Xr^*a6xI>j3-TdcX&A3npSRCu06S9@fWwuX=^>hJ~
zFymWiA3`N7Dq;2TN9Su7Tf`i%aq#t~qS~ZXL6KRNT|(p>k$JiuTR`32-1i`r5VAok
zj-1R)-RqO}+O6~;n+Y|O<+3i4wkTS~QZefviT)p{-WPw3myqyU|C8uR<cuzoIhXdr
z>Z!ZM+KX~BxKrE8?6AQ&%)%Ipmvw4IzS8z%WBvjh92`@M8IEtF__+F|twOURJSy8%
zfLPf)%_&lgXYwAr-b@W+(5PMl+qpXKB0ZiqN!7bK+ZGcSFKaLzlPa6o`#Hs+k=?9i
zIZs_8r*ZSkpV^?DJSCb=2<wb;9gWtndhF!om>8a6(Rah^K9-^-u{ZB&D|0_F2!dIQ
zo4Fmtky+pT93IdNG`@NrLqx%7Gm{Yg4C_ixe??vEBDWyOssS(e92Xl;6wO!LS%iLw
z!&vIm;Cp&xjhNUV*3^wb#29*c&msrGiJd&i*I!@5r`12$1qBc777cUb^=?0!c_$3w
z-NUmbJi{7(xxrmz(ngz9ZA=AAYFD`7WUjauN}{y*a6SnF=usM1<laA&mtRe_uFA{3
zS{{_{*(;1qb+GH9EE8Vs+Vgwl@&$|_Y}IXe(dS0++o~e!&jrn$;_vSA;LT2!`3j<9
zVM|)xpxrh-)L*HFjJmu{Y8MZRVmTu3TB)JFy*rD%xxk`cnMI>kxWJ`RsZ`Ej*JQK#
zdE-<>pwde+^!xoj7=LJL>6iX($XaStOhS#JkGk&ZWlPW{6%`1Sc1oh3AU0$N#YV$q
zhz3~_^Qkv%PD7=CHEQG~id%Qt)qW4ZdL1bj7uZdtc%8{?wa9{sd9BzkZvni78Q;&E
z#Wx$jK56~<^Jm<z9mp-#c*q)R{J9Y&9Wp)_i`%UvqlipGtc$~5+#3?h!HP(iw_?QL
zpy)kZ%LfnUcV;j50<3wGgi{O|51k3vB_17nU3l%(h1k9!_#iTu;WFK=AfKm_pGS0`
z`f7X5*E7BV@m-?zP7RepSSYd2k^Z)`lf)oGp1J8~SpPGCb~lq??=}Tm;qj(awnxon
z1o-Or1BwgjuZnbDH|JD+{62DZtdEXNh8EPr=<CAu7V8y6L}c0AdRtl`cC$}xe?r|+
zYeAA?9rb)0cFx886YaOfhlwQQT4g2%>!5Iw<P$sHk(bQ)gxq5{Ezit0llcY@I!Q?F
zD$7}PyD^qhT-#j-b^^m#2jmtHIs`6y)6nwZ66HZqZEidNg>tCLb?dNHJ2a$Rg`7_E
z4rMD`=f`-qvgBIR%aetIgL!YyJ4%N|Je|t7T_$~Tx*EY3TVmeoHCFxBDlhk(W!`N}
zNIM89TRDY(QM%2v*-R<WE~@tQY|y~<41Y~8i4&PoG)FJ5d^0{HTky5?PFW74ZvMoq
z8$?O4`q4(L^xE{zjN3`~+p;^iO3FyT@2+>o!xI(j>bRoDvwNI*RqEoOqnkKR=Ts}Z
z-=+zH`^LgoE0Dx!cQ3A&aFv$}IQgvFTUNL1d&FKCj20xGnQ2tyRP%|vT3$cXt|GpT
zTVds}H(H-+kLTd2yLNBJ&ID>4FIQtu*T8eUzFBc1s5JGxR{k(-J}%+zDv53kPpI{)
zu?$nS;?)UL9LtZ~JeZ3E9LD@Gek9&2vQlUJD+{s=Nm8+ZRx=@k5jLj)b(^(QHJ-xL
z0iITAjsPLgll06Ffzc;_Fybj>_~eRzrM=nocd~uQG6;*Fn|g~#Qrcj2aeccOf^K3u
zA0@=99+Z0Hwj;!;-llJsie5B0xLe{!Qt^}Q>>36ZPOk$=P_=I4PLH@~dAGOsXkT1>
zIn@!(Gm-?&F?@GgsW8|};E~I1xqIxRZ3A9(G)&8*yG2RU?i<@F;}gTOcd28Ml&G`0
z=NPoHW<R=fQdE?8sGpd-dwd8%y2$>h1aFcgUTuZrYG73_zL(4#sT|ht`H;b{q{Ef=
zON<d${w2Slzp=;rm4cEIQ5P5PC*BZ{-rBPY%~4VcIG2igO~+Nlr%mF9@#S1;X~w+i
z#Tl@(LX6>ddX-mhzm_^TVN+aXP&{70Zr3B`!@*g>h)c<TeV#Y3o=W<T=y!yjWwy*X
ze|2T5nzzqPoyG8bqL~*g!uLdfW?NgHWp-_yC-U*HsXAfPWypCxupVvaETFnT44$>R
ztm!aB(`D?gqY_BJ9{8gu3pY{FOTXSB-1~xs$Mb`^*%$4Uva0$iWGQ2it_{uJo0(K6
z`cWva1mBm4=Pd3mY;35k!WK;5_biU}J0(ML-b;9;@R-8Vbh*@t2(%G(Etlwwebw@>
z&(VQJ;4QMQG-PPeAySUxR%*Pw-M0$o3&utZ_Pu+rt?)$ibMlSHN#3^INfv8x?api6
zWBvVj^%F)s&zs0|pPT&rcJgYc{oi5pMTx3~ACWwwEOi-~;=Q@}k@}8pQxXVmYtv*&
zUom$g+tYqMvoq3{m%|`R2yocDKJECaL!rY>Nh`j`{Q5P^#dU5zOZ6GRu~U@MiRKTR
z{fFpUXc@JfQ$Yo8){{EubFL*W8dWC=-LrA4LeGAQS)#L$f-(QDw2|6mfau<R9mrTg
z#pgqk>r>4A5k?*-f5GT@p(G`xG(mJS{^EQEPis1rz&3X?OCv@mc0{N(<SD3hA%+fv
zix%A38M1PC+#5Y}tLf>!<-<2IK3$OC?xPUm7TVkEwP&$3z|+wo-A}YKhMZmXyt^v<
z9P1y0D4SAI4@p8~WI(W1kyB=XMx5WG&P7)I?v2UI9(4dtU0kA`q4wTql3Cnc9T`Y8
zvGix*N$oaqcx?1oK((`Sf^a1QXJS=OB^TJao`|D;YMJl+3pI=<WtoPWO+igFhjlX_
zZPx2`%?c{a$2-F>B7GwPQ}0@b%KET){yg&hdH48$NaeEyVLRw}nF41cq@Pm<6VzT|
zA51Zy?~8_YRuP2ipEW(6#HNLnG(L}G5ozp^WZBZ%tI95qjq>k!fD#?4t}?E;F%w7f
z3JNv?O-o_}h2%0tC)j2<nK0*ryr&Pjb-cA}WOY5hsK2b!zLN1PzgZC5xV<ts-%s@*
zTy)|L7}iWB=6O%5<63lcSUAx^^7Pd^y2#Jt#*X{5IsC|yJMs~T?Be43MMT@R9|Bnu
z__TN#8SlQR^97^x<GUPGo;(BwUitV38-$^A#VpWcluy)c=35Kg?g55PyxtLuv2=Ju
zVjzS~LyBuvayQ-cs`LgUdS+-UT_jD=FT9c5s94@U4^`0=K3YYa;3m%5(+~jxC|DnB
znXDh$&Mc2(pgAj%5TSN}(eQv`PCI#CG+l_+9u;E~c74l)i06^+z8>lNP+a+@H~~=}
z^XX|eyOdES6Zz>wHwyGvIkRT?)nP)F-$iu?Z~WT2K27adTRxaSXS}fciZK(JHqMj5
zkvuPUPh$Ekzz2DJR&QdHLBSb`^3Uj}qVo>DH-Vsx!j3*BrzT99qC|Pbo?=w;dCcOA
zv_eTmZM43)wC0j>Y9Z(0u*#n%m5!x17x10I&*tA62Ro;7P_}*ifP`fR=u$&$FbLZl
z1vB)EYIsxBlBj5y&vWDpqF8q{-y+p2#x50idw%GgQ8H|qvXOq^zdJkm(~6@4m+E?L
zbZRUe&nMN<5ksR4wsWkSlCqacUjTvJ-@vSP2DAx*{3pn12xw<638zP|#zez|q>l&5
znXh{=9HCj$d+TNbw}n2lZDUkLTW%h9JWvyY)Yg6?cT$c7Icj<I;U|5H&lB3{i}q8X
zptl?4Lz5mUrMGYR_MY)TLLi$IP976^Y#BK#s541tlCnZmpew*A(rfej!-%L{goG|b
z;;DJ-_~D6k9->&mQkwQpJwxt>>5A;i8S_kPztQO)a0UJ}D3OWZ`c#we?=QV;7M=hj
zuXR>Yh!Xc!`qt5S?W4GN=W^RhrIRybgnG$P9P=+-8tsbg;EOdIZl3sG?B0V0VSK({
zzdnJMZxFLJJCShOKvcAysb;DzgGOa|P(ANfNsmtl1-fd|gr9l!^a~o747@?r6G?bw
zy%GGnMMu-reP`?lXL7yieT8wrv;L3}eVNfhwc~j9tntVSW9hB8GA7ilwXcr2Y**kq
zg9*Oz9MlS(Un}OwEceotfb21Ksp;q|daZiw_4V~HN52qP=M*R;UaFrvxiwG0Muxng
z+?<?qHnHeZW>J9Qqm$fYr)5B`7RT_~9$k$T$Y5V{>LN}PBy8Q@8*?ju=0@Uir6(27
z0&ikI)~D0p#K3>M$J%(c62u88UK>!uvKlT*@@rI9AOx$IDym1R_PPBXGXNcpg}>+O
zR^Xk_&1@5A^7q40h+k{(MHduEg8co9X674DQ<I0_nLe%n^@tj6Z7lhhU@D5~MrYOm
z{#y%&{h2CL4S9LYo!#AIfpu(@cwb+HvB^olxo$2_$8i#Hv9Ym;7PGI=@E9~{Hg?xG
z0!ODa$Z?kYdY^}7ZKSyNHRQe^uCC<q%+3_P)pTKBdS(7nYDrN=1@HM8<dci0ib~FP
zy;_AaIUirsc1&`zr72Gjr;Jt=dSqf-9xB29G*<JXKjyy~G1?%Thh_BTlFRF{ny%hY
z@D2^9CU+i7*PG+1r}|a|YF!hpIhB>z{Hd~+)%Ke*lCw<iHx6)5yt8LPAj@#?Y)F(-
zJmc5XzZ^Vpuroq+c3d?XSdq8UkBt8Iphe*B{OeDU(+^gD$4CpK?J7;w>$+ccwLZ8N
zjk3hTZde`T^l+4?nDe`&Pg8MgzM&?~z{uD*y}X>oa5kJ$G$Ca)0tDw#QP@HP-&Q1d
zTw)OglIjUb6&Stm^w-Xje+*A+(W&_Ir!c|Lyhb|Y8g7_k1gWcpOpj*Zc*qJ%nd%?I
z8XLQBZ|{G-1*iFt+GP-rU-Z+i7n@o4B}-%xA3q3Aw<b$c4;Z+(riaQ-PEU`wb5d9S
zFt%9CR9nq+XJ%zB_puIE?lAoD**kE#<SvfHm9Xrlp{72wm6yNTt#qNKJSWRruiBE9
zw0=Wb(NdU>^Krqg;#?rHv1@`P^%D`$5YaG_4sTdQo1HOQ5E!FEek3Lajg5WObecBe
zJndt(-7Tuo2c%7IK|$O7<zkq4<f}5#t_}%__8@V`s;SYopVZC4XV1TgJJ(HNRoG@+
z-A)w~+uVIQx&&nbUY{49xrZn-8fB8aTrW*m)@8AXi;KjuME?=7u*X>7i8$3JW=mBo
zY-?KvA=^`ymmjVi1kA&CutUvHquC)tS(12qJ7alJ#wg>4%lq9s2pQZHn8-yKOsc?+
zAb4_GaSX_Db1mnUs>kVdyL%Njo?i<B#&>3e-<QceDu5j+s^z@6{HT`a(bwBM6-FTW
zVq-Aua4@r7@9btD3+{Tv^`nkX*x4D785nSypxo^%XOQ`&74xPaAHN~q_9YWL4nE7v
zla&-NPNCganES=q{MThF>#Jek+5*JISC~q8>i|zlv=EqC&Qh5p-204s6{XBi;?Vx(
z;4#cf?5dC<LdK*u0zVRpTT)gbJ!h8IzWzIG^pi!QR7Qua3$egJubRb)#hmO9g^F2H
zYl}6EY+~{VugpNO44Bsifssuyq;_AlD(l<;9VZ%G6gU0$)-JAKZ502)%nMiiqAn7w
zQ#T}}G0)F*uYd18ip~0=BG12qe?`oli+304;&$fZAC;P+Y7(gC4W3v2P_p<;vGvDu
z^xdl;Sf7gWsC0fc)^c**%Jl~mw1#jznQtgiAq~qmv(rwQ%2>VJ#d|fD$o}e)NR3O8
zUj0K*jIxqX37hO+Cq>^NxrGHY)8eO54TslD&xm)3_hw8WhAda7+kj#Ir;6P>>xsBC
zu5x>%20}_5rzGs$a2{q5U+WW-+C3>+Y-?;B@?ohc_bMn3bmJ}3{-dfw9P8p0CG=6f
zp!bh}sEkJN+mTq}9C))enc}=vp@nvC{x!Ih#WtsXufrBRSIhG9_gJ={4@2GPo3#HF
z(%XA>MLYT_C<;LzO%O(6p_amc6<&`e<}pW=UxDIilZy^78eBCsecSiWEBjfoPj)BZ
z{Y-pOh6O$-D4e=7WF#MFs(c?Y^?@}v^IB-~?oaIa{iBzWM+SMUJDIaU(z~MG|7#N4
zY?oD8-+_e06X4O@h#_m6yNGn*UkMA0dAanE8ip@B)rB&BMyCzhTm8h^k)?8@={n-o
zhQ%bFTpWfG?KOgu8{o2U&VNnPGTsGfE|AY$ZhU_ik_3EU0FAK}1*(!V!kmNRS&6yD
z7-Nf^GJ>HA?B@jn6qn3NS`$yx{x36)YEu5n1K9SFpCna2Q8{1{K#Mtlb6Qr1C1=jC
zl%0iu;PI7Ei6-sB+AncwXlct#iIVo!xG^skRX~#*<p+PhS7z*A)0Gsl9^VCK(b1%U
zVoZ7bSK$bzI80~P?YEgPm(E7pQe`Ec6gT1G^QxlAM8Ts__Cq8kkeZGPqzhtWp2JrL
z-HTv#M@0v~M8$hYVbW^}9=8*b!f#w*1b~b%pX=8!d%H$8b`82mVXo6p{e-sC#iSk>
ze(+ThKeOg=-Vtq#u(-ZG>JrGW$*Cv2I*~k2qP%9o8-6LoL+&T$VhzSC(+x$(>?q8C
z&9(*8-lg4l%&gvelwaUAqHzBc@hO^~kr7M~UcupMJJyb1*jS2QTf1Y+nXg~)n@6(!
z2D_|#$#${B5J7ac06^=}pdfenu&9eEnyX65kR*w9X;mOx-Ptb%v$jKeyL|){$^@Fe
z>s=oM&+lSMC4v1Hi`cvU7WZMxN+QUc2yMIwjmj**xy!|2>g#>-N+!5S+65+FT_egn
zxLieSpvU>`Fs|*(h*dc}OdolT&7Oh4W|=gphx1z@(w0*+o86+c5(3s&oCW5O9`;CR
zy{4$>1mgG;J82050`=#=`}AL8&KAR2NDxU`DeKy?%3~mRz!T)n(XY=5N0QN>YiDK$
zntR312c^X_?S21l91t#SL0uJ_1RR_2m<2sHp5aT+oHFKmI6ddXj-P@PXZl-IC_F}l
zb;H7YpOA^4=jnl}UqdhTa6YQk!7t?eMR$Zv(<;g|w3x0^Ah^9vPrt%rVj~<X9U_nS
z_D1K@R>EPjPT|N=h_uf=55>kqB!&I;_3KE7S_z^^31UyN>DpnVf$T%@uvaH7-^Vqp
zzGHda(69=dG$}hmqX8-Kw4vB1jL0ZBdY$4H!UpYuAH>ddPMd>K(LS>MlXTVH@BK1?
zwAk^zi4vE|?2EsCa6Mnn4@S8UDlfl$udl-BJAcjEOU}_mU_|dA)(_;HC<xgo;sqP^
zVP+=W)vnIB5?P7oq+PCrTuZ@s1PE-{=uiN!DjYWVlgpVJP+66xX%+DjlB<cT^m-2{
z&hSuVjyp_Q<L_u3HQy#FF^s~2S%(vuh!Z!r$4j3sYPC|0GaT^TXLy$bmJ}Y;8Dkfy
zK8gQi%!(QQ7TE7M3KGJGUqPX6&vOI1^gjez*UA2UP_?5$P*PgyYXfD3+c|BLjAFrk
z!4b+H)D*kG(oqCPl$U0wn2rV`vY+S%URwxHK&!6}y|AMkb_{ueRKNHAP%6PC?*^^S
z4kSw;Apu3@IhFZQvI*@eq!bl(*`farq~&&yoA25@^_h=h)FD~)eJ=lA9$6wdVn<Fy
z-7r?EH(;fUosXYdCaE=!+2BWNY8Xp0)wfuBwXXoHyycrfitzUj9zv2>3k>R5h!1(;
zjYjNc(AA!jl9P&nfQoeRxdW&5h4uHAlz)umJ=lgWfC8ZjW7?We6G8;3BSL;FAt6|h
zlt>_%oSf_$<1d$y4pCjMmL(l<OS>9Hl8B*yhQK*u6Xl?z1W&JlyP$Zsk=UxF0%Jb$
z-6}Reiq77Rvroj3e-g!!fZcTDrNj0J{5J&D-vE(^iJcRe^e6b7ot<TCI5{~bsY`qS
zwgrCq1E^GT<i7Q%PpfhWTtt^jAtFh-y4PnMjFinMJq+O(^K0t;<J~Kv``~t*63{O^
zVWYLaadKiOmBLHV6-tckdH@B<{+N_Q)s`BCS`E0YCIjtz(-pR$n%$g4wy2AmhbJ*Q
zk=Sefu17qWK3PEthr2S%=)sNo69vU-Z93=#Fr_8&ytAEmciNls_PD<x;9h`5=N&pb
ze7L_|1qr?{D*@CFu&DqAW@cvMn=^GpFFXlFaa;N3X!P~ugd!D|^7<Xb{<Hs{q4^T4
z<Icycdyjc{kZU16Jw^m|a-t;8aHy!LC{~)evZS`*qDEn|nXhXN(I%qhbMR2i)?s^?
zKl^oSS0g~NU^kQcJRQPpwWSc)8^KxaN9CB>@+vzR(TfY!Fh`@YJos;suY3^Rn~C?1
z1T!}2u}}n}PxkF_+blssN%#U`5z&^$@)W14Enh&$I5_a~^76jipHJGZbz`Csu)q~*
z)PO>f-J{r+JNU~5*ODgG9OLCDp%+61bgSdYHOfr66Li_QTVKu_MZO6YV537r6t^Qm
z`sjO~?Zp-W$j|ijCm@R@RG?gRbT%q$&>KaI0S8l8R~N@&P0|@gYONC4^HQ^w`9W3X
zRZ{pJv2#h>FmjC>ZE%KYlk4#2(Cdz%U1LYJ{!hxB^69HSG*LLL)s->7k7nv7xND-L
z7f_zizJ=l!l`cP^eDy48V>{Qm+e0w9xfp+#w}v&447L^Ssop$CjothCMIUHd!pX^4
z(3x{IHp+s{w+sH&P6E1G0@JO&;vf$trM0S#zRonIKx$}Hf&A74>eXcn<>BNM&43sf
zH-PQ@zMv%CTEkvkDJMq;=aBN_3+51IM+<~GL*V3Sn7|sw#LPS0&v9&4LppU-<YAx{
z*-6Tw=opW$*JZjZm=%Z<#gOemtAZ4T4(ma7A|!QiYL^0MF3NY{ppo^CD^J3?k&}GT
z7kZS?js}OZF-XlKNg>&r^YEHan2jLQ%pZf#P#YhMD3$s~nO3ElAE;)$iIDbk0ykK*
zlbi;t42GBIJ#u&VQ``x+Gx;*VY%Ly8BENKzK&U(V>evxf!FvC|%8xQvN;W=3rXu|3
z!q?2q+V$S7C)j>Cu?E!F@#?oGVSdu1IeUE(yP{O1&(U@p(?2u_nmkyK<e?Tz!pLa3
ziCO&@GNe!qwovm~<I(#o`(qjPS0_loHljIVhQBIKei>-oUz;ZMO-REGFxcQwFQAX+
z*BXk@P?~oZsb!F!L5^kBU!}_>jf)8DRVq_lj<6t=eL0oB-;9h{Nv)I;PWy{PsK*>^
z^Aia7t7?mD-`}&3W(RNy++OZ(B4CD}bB=*WRYyg%)YM9|WfdYg;hS>Bl1>(K&~3(*
zR-zoQZBztdjwV}XCXFeOI-szqG+UC>h`g=y!*LmzKL;(wOs#z1x$~{1?wS}gK7~Q1
zk>JhQvJIIUfL}PA$;mYS>{?%eOQfPZv&nba8*>@uq!%03B~HbM8gzCuAC&Pe28n#f
zIZ*dF_HpU<uxWaBIEf-$`1xNKL1C))?3z%kw?iT$Isc8$ox>2>akD78Z9{A>1M>4j
z5%nG(u*dLhKm(qAvYtE)rvomS9O{BMQ;<==r^n|P_Yp*}y$w`KA2$x6%IA0A)5(l(
z{097d=4%eTsS44%%boFGBAiV!+TBbEfddj|O+?Rm3V3G2b@#qQhfhay1D!j5j=K}f
zfRKPDACC%j?t25BFvCN7|9le+GaMwbZCJDx`bN|zCSt;_!04xbWT0a0m;9`={~1L<
zI_9{XiiimO0QWAvR2&n`=XpoG0f9$1DDj|N72<DkvQw}#t5Otb&GS5-#Y9XWJUZiW
z{{_9y$S5FS8O5brLLQzUo%aaxrs+(9h}+@mqT4Ad(EhO7gNDKUYRquy;wF#?*&05!
z6ituZL;-Nu-fu6ivmegjBrrF-;`7!J3`o@ejyFkp2Dw`HBmEH*<4Y+T`qO@MAcmbK
z1zeICG`8|eBGQJ#BFKq~oK<5<Zfb5O(W-Yab(sTpzS49Q!TTNAMa=VXN+lIo$r#9_
zCglR_mbiu4=y|-ZQ~=G++Q#PvXT<I8ZRxNV|L9h+SZr=GogG)vv6R{M?^gB@h>UOg
z{;YEiULMtviWZq6mw0Hi4Uho|<1{?Bxj~=-$vs%RC1dB<H27mdvcG@r)T{7sWp)5C
z1g!m$`(k_jj3OuK_0e>_Bb_fgX(*_+DBT442k6gX0uNJ_otT()0a#|s7~##iPg3jb
zH}%{7G4l;fz?y2$MkJ5hv1H>WI4LMN^caXJHo-{OOW)9$)N{U0=gMaQo+;ayBhbG)
z1Ul`h2+kGsr1xiQCf)ei*>U{PNv)hRqM(8h5%K(NXB^pbrcw|P*v11%fTfc8zIWL}
zo%*x16a(1&4^B>RjR#XKT{QgtD@$?Fz;NsZbd;2^4Nm*-OSGFlrY_dmn}~S}RqV~x
zVTFW*e7Tr52?rzrn9ktt>X_5xj&q|g9`;>QC!h>smm?(K{9+yC{U$4LkKJ-Re>eot
z!<@(Mes)cOzZk0dG6t8%M@P5LkQaVCJ7yMBrQ~~Df*5kDs{Z`$H-H?c%6_ZRk0s0N
z?SqU5^7G9Q2)$-42CH%3J1s5Zh{#A7NLE(Xm;I{AQo#4Lbr}&uTh}hj40{4^LG4hg
z#|<q4aI4XDDl4mD0-ar?p20YD%DP8Ozoweqd5rtwhW9#OfNG&3aFy9zi5%9QK6u(w
z*k_P;fb??OpYgG7xmP~r1THzZqy)VVbjQi-2fjY)>FN2^aM&EQ+7-5%ooMwNnrepv
zfQ>}!PIQ4gFQ9Ma9B688<KyGd%8gf2aYL0w#l>h^4Nj=jvVUnWXVCHW@3fb6MgR~Y
zCwV+3z`>AJTQ7z_K3ujyi&6l%3k~DHc{*ETEvl`p{juvc1B1`t=4cbGUmhAU_jiEi
z^!wtN@dZ5GD*Mq{|Ap^Lbe95WVV9kYN6Y85hYvRE4ff84O76Hfg~>7RfJNedChxE{
z^y{b$RDB?Me#gOZy*!vdJDizOM<L}Wf`^A!t^6e4?GYaz&uO<N*8O(d*4Q|E<5*Ea
z;YUP-er-Rr{Z1R`H{gs!JUsZJ%UQhJ;J5+>G(cJRDhB1WwL{N$Ck;lkrMITaGSXI!
z3=PRBDcgpc{m_ViA1${r>$XDZ)yiL5{2IHva|8Q;rIt+*29N;)*_|j7T5NVlt?~1J
zucQR?;w{9-=Uo(Wy|8d7_IP12pnwcOd)XI&+}ch|cXoDcpwb3Jr1S3jRN8VaO~{YQ
zVv6Z(YZw-EjENxUi6MM#0+bO1v?F#H#cKHiozc6!*uR=T^zger-4ta{P6iRZu!lgY
zgXxj2Ewh}ql?v!rJOhqT6zA$}ZyIZm|CT;5Fz{ol=k0zCv+auT-fRuy4#F-iBV$*s
z?dr$WNRG!yS^i&{;*oMnN<MG2>X(We4t@jslYXNHd^!Nvg5Q4Es3@0j`uQjIfTpkf
zwBj~D^wq+Off2U{m6n_61C)H#>-z`)x_1zp0j|y534Dt5txxX3Z><c0`#it}8wbN~
zU2N>lH*jQDqhZ!5>ZRRWqzV0PsjC2*kBx()2gqnWb3+(?@>WEWFA!iY*@|q14Z|9F
znR7&oYvY>ugx5Ue*RRIL#&nljy+J_;bjd>{Is#9>dV%7fr9;n09sul*fVr)&e@X^W
z%U6*4TP{iyA~?ecuTYDaL-B7@116JtqF8G-N_Fq_+GaZ|cE#HBRzveOheiOjk2L&N
z6?_lU<Z}L7!@3EoNVpB34-p`18yhU(PW}Cf7<XDlN6HLDQ4|snC7`k-Ctm`<0Qdo9
zEdKU%{%s5WN3*K*-zG}Uj3EE#qJ6*tMos-C7TP^av{89)XymjktrPwI6N30au$JA(
zi+?6|v8OkPj#)<v&0L)Ro160Y@9Tsj0Zov#x){#*$GHJ-p3dYU@FNndo`G6)PDXgm
z7_2}{$&tO(@R?0N`wAacVgL=MaFdv6`YJ^hSmJ@f*-bym-#*#@(1-djYyNK<Z2$KU
z`qDi~1@fB)!d`H$?}20d5gGX{p4DUpcz5#KE4Sv-*%$^53kxn_skp=?8(!$P4<z#p
zPfhuoq`Kn*@C`M4Q1=Tgm%%_17x`^7aKxOug%t@TpAY7^7W%1x&G54mSz-kmA56qm
zzHNKB&{SqV`3BfsCi<i8xjI%BR#sHfhO{&oU>2prc6WCZ7j>bQ=A{aXW8O2kCtJ{{
z;-a9WnJ_2WiSSMB(vw2%Chiqm<9`q7s&W2KglJ>5q^PA80*{QV`}_Md=~)FuMdr^3
znvKBaeOV3Ru=xd#x0GOB9DslKuRX2>iL&4d-X1^uN;Y-gCMhX-e6<?3dr)D}g?6?(
zS+ac$l;37p1W#|OR8O_>OWA=r2#|uBTrc%OK;k?5|8Tqn9>n0Rra^jsc7iAsO79<D
z?jDQ+QO)+8oS4wRI$EZop=nJQ38EnJ1b#!c#!AaRQ5?+w?Ds?~HE@g|67#*_bJ)Uw
zI&)~(EAU!k5`nxDHI}n)9e^3D>wif>kq);UsHO!qd!>49Lm8szeetY_I_~F6qxK^x
z#aWWE6kJ>c_qUgbkj9f<x-Spco0MpNnBo804&1;lEZn~t*lIFg@0eR${K3(Yy&TY<
zDUmred?($MQ!SnX>eUtjAS%^^_Bub@?5@shrhi|$1Qrm16b}z}ech?b*T0*n`V|Kc
zW@KW(e=<n3(SUaBR#(R&=dcR4=J~(6f{mMRP0G#IyiY~}ZJ?n*ij1Y+IP1p2vyTh%
zpBuyh>WJ+L^fOa@<!E9k4aLQuh8ap?NIN^DeDS9#vw;Gn|JYvsznA`h_ND*l2g9=g
z7qh^7oZ?S|Sy|ZtBfKW{AI*5*FQBYQib^<yXOI<xi#v?)*}qEv;%%<=VlDH(Z%t7(
zx7mGb=&Jgge>X_i`_o8ir^Jm?s%X+%QB&Blg7)<A{J-T%wqMM*<Pi9TqwxP?_(om?
zUg0QJXh`y3HPruyg==D6X}X_}Z!I+Ofa;?VtNHrn2@PuzOH0dc{#3V<XGqA%!}X5l
zh9)KkAmQ@1Dh8ZkQa8KzAn==IcIy&*GgZipEq5&7!*9DKEzR54ps^mBr`a0LKm_@q
zK<bn)Ptf_!FmM^v4GjvQ07KmEE7?;g4hq}?m6A^ONzHE{omXi#j)aW&rahQ|RZd04
z50qa*-T{_F+jXBEAiU8dTcF_KDJh}v$h;~m*$NV%s`rY;<=#m;ENpH#L$u6dngtsh
z`=?TYGQ_Jtkz@5YGNT2O3*={R?o)snf7dK}6gU_D-@GB%0}XTC>!bL$mV`4^=6=9B
zt+sl@s#ci+MR0U<+ycMsei&J;ujlSJ7)W48hJx~%y*&$aLg>WR73@c}{{%oiet8d9
zT>>i^Vf??rQ^V;Z$ic)sxc$U=iTv)MxaZyI{?e~+{q7pzxiz`!HwxVU!nXjJ103m3
z01Y@-gISOM=sY|JuP>M?H$nz!wea}(0N^#hH!8a%#mDD4-~EHmX@7VH^-Am(sBSDQ
zEI-1-F-OfoxB%nN#SMWHYy_;vOKUxm(#`_^#4f|Yx!Ds+f%%I!0*O-5`L7_Jx3i0-
zz%J}9wvZk+U6NQeUmLHjt&s@`kV0(!Fw~F%D?mj>b+!2T;0Ms!5&-7yp!40peiwRw
zw3?V#&~$c5;|bE6<}3ZP{aHNlZO+Xk`=iH)#Yc0(YzbM}E^r!UpAWTB@R=YW8{P2@
zo!@`fx@CT20{UtN#oFr7FeO#MSb&)2c|Bm&0jQ<_|I=&zmwF3U^FMhJ#edM7|8A+K
zuNe_Pgy9|r_&*l}9`K#;KvW{~-ZUj(mCZmcviFXe>#VTwnC9LwaQf@(zkZ6Ao1nXT
z_;=s`*BUu`3ZUY*!A;}_OYmxdPGzjR(SnkEYn`gse=SF%`IFS;Ha~;)-sq_+b3AR2
zYa_raB2Mafx=(o=Hs8KMBjulSc)_IWg<3>qS7TnHw8-z`;5I8LZ1^^n?CIC}5dV&y
z@dDd^_Q{{XuNJ9S{RVkY&=|w$b~Y>u&G75<Te-XQjf{?hU<HK0#@gQkG(V)Q!a}&X
z`i{vdHvhjBl6+7LSQyUz%2B8%)ji)C#|#_)w_^VQ!GQ>>R`yB%OQ^-hto_egNhQfC
zCN14DS7(1bBFVTM!m$8KJ~h3}i|bzLAF-NG&}Zi4aLkuiR1|r<5H4Q647%p`Xqjgq
zr(p3b64HW3W_QP3j+fJA28cK3yNHmho81!Ivn_e3^n*Bw3GAoLxS#OKjemR+ywd>}
z#2+2Ls4v*U7QrHYeSNdL&d<-g2L?7kA_X%%2%mVToc-u}r=aAhpJQ<g>ZPq;Qd9d`
zmgMCLg1Ggq<;-^wMvPDLgEy0W0VijBb)?s3sSlO$@LT*Qk6HCrrhj;B=BDbhGEB&O
z7xSoU%UNGwd^;T60Em&`EzX_0`-MpQGd~{*Ptyj5+iB0A&-G%-8<FIljEsz;_25XB
zWH@-g1&H@xA==LCIJ}Q{r%;rUEKLmtK(rNE8U?Ha)QiV)*}n=U6$k~R>#cQ%*FHYn
zhDSt<R4!76@qPuqKEvow3`ppcDi^AzsqaEDabr)Fqg&x`qQ6nB_!gAd6BaImQfL1|
zr}Ez^$G^Yc<$tMF|C0x$m6Tc=omcoU<taWvD}}q`L5I}#$kOVH{?Ep_;t34Q_-}vl
z`9HIGd)MR?H3ndFdT%Y{7MpDi{-F`jd`otz98iEX=nFl<!FvQS<m3Jsy{P_0=TcU$
zD3tzt#L?#HEenzq&`uK|W1yaaVXaP<{~FH6$LG_0Jv$IwX4eY~S3)S93tg*k-2`a3
z4b)VSR6`l0SS=?4m$NNzz={A?Kc!U&o$tFy5bpGl1QhL3sH|T#o=<3~f?6D?!b5*1
z9|Q&WDA1e>G>ZXTX_DiF8kAt)=uh+mCRpn<4q)a_;E#)@j*hk3E!3!M7jGYP*{wZ=
z!g4(AFEEy%?84RKbfdra=r=Nuw7JTne|4pE|H>PP{~f`j_^BJ5px5GI7YGBGZI=E|
zD_0&4^}dHEB-?Q;Md2Kz32BP+6xmu(>Bx3CRAVbrwh>cyLnow8G2O~(8M-ZpHe)Hf
z45_GY=oW)UlS;TXvXq^<@3-!Ao_qhe_dd^k?(=va&trb$w|$oPeLu_k)<h8EmXZ)Y
zJM15+)cK!Q#EfV-k^9{h^2%+;4!H}>dGRkQnEKd(l8jKL_$<%a?9MlahKBYI4)R|W
zkK)x0d(d_<I5kr_^=Y6>lO!(F@R!F<ojS$tl~&YBC#-*4<$gmj1C$R=uzP=RfM}3g
z3PzSLc=!iQRvwH0+qJyGzRQ`W*4+I3jnG(N`UlaQBS}HpHSvF-z_E%|LHLuP+@zN&
zg6eDpa?g*I#Pz;i#y!*83J}k3K&66`%;9KZ#n2oIqoPO6YI?BVz|gP`RJ$;7D#~i&
z?a4Fil30Ql4)|iz+oQD&>1gU81)q~k9q%U3ktCfYR^zV@Rl0SMS3v)Yi|%fLBxkX|
zFB!{&et3EoA5hWwbRs+ZxPL<iT9mw*yp;YSlgH7*#CepPy>QC6Hp0ZQY{skl@3m7O
zJlOQSt?d#ndT=7)iAC1@#Nx5W1go;P?uruW<{JlM82N8<nMN`aFfvOHYqH<|$G>vh
z$Tv|c%1sHnRk)T-4ytE{e3Rq(eo(NZf!6C$khl5u(MLpTu_Nuj_=Rmv4K{c`h%SNK
z?gs_0&7qTn5B0WM;AC6wF(1DTgn<q#jQ+<}Pni$7HIu>Edh;Do{mK|!C`*@JDlPS3
ziZ5@@d=2Ho2J*|(Tt`iE3~t#BkV=a#Qhb_2r;Ni%j7iaMK(GjJqkN$9{XV?-H6`s6
z|5j$~tKmWdD|;Dd1T%Tc^|s_B%}&IS&b8;k(dnNB61DIWlU?^@Ziny{gMxyH`417*
z?qcge3x_G6zJLX|8wp3Q9_<WiGi}?r%e;V5omLci>mi|D>(F!G*OsqIWT^O$chr%6
zt&tI~R3?Rm(Sk!lOwcyWiG6pL@T8?qoOH-s(^Eom2J?M3t&=HFam(FWrx{*-@Hd}0
zS)k5wOq6E&iYNK)<q`f`^Z_p{YO?e9*UL#9-3|?77XSf7H!Bj~&6)4^)-XP_7p;NL
z=7BL;BK=$tPwO+vyQLGLTK5TgNm{~#%=>W+Gx!bB>@bN#q(MU1AOLSGlj8C3#WASj
zu_Q771NDfC>+;^#(|qHD%S(b=m(}%-$Res3PoIO5DF^kDbU@KU&rWT$D1(Ej?kEYS
z63*=S0%b{EiV~btt01tl2_PiZ=T2Pzz%xAVZf)`S=EhQ|Yzx_D>oLx0N2ax2FIGm?
z-9;mpcAgqlQLooSNva!oT7@<AtFH`nV>OCQLCxg#&&Qc2mwSJ1>gOA?QVU!D74@h2
zs(-;GX<4)m-Mssa6`-d^PB~Ub99C3Z38M2@GnmMT4t-f|?&EkM8#Dq}&_Cej;*v}N
zF38H>(9nCsJ&%Xbyhs@PP|y_z+?OwFg1UD6l_V#sGYAZPJr-s~fYW!c6Hhp6(fge?
zvBHzayXOfaAJby6_Y0VPQC?QX`4c18M>X_)>#=*ruk&`$UOx9bi|B!4D0cd_UjI4G
zcj`0W_e-m!s7%P%Dc@yuj!FMYdmx4C2E^kuuAZKIA{@G|RaR=qt1YihkyYJ4Mz4sZ
zl6wMQ(W6r5sxIAH3xVUPKp<FC@;vbv=f%pJaS6&`i|w~NA%e$1AdCQoe?#=hfv&1I
zt?qo2$#~1%kHD1X`$3e92tHf2$hshsTb|a@)$>*w3aKik?<HQ})7xTC-$W|dodZ%!
zzVZG(m+qrRTqUg0(wpV1*U?eXSY^M^JTk!D)}ImBQ{i12dX|k~SZcj;rE@tV`0{vX
zCnZtr0;vsGuU%7)jEqb{Ut)TL81}r9e3wY3sYo)i;D&5=PR@#i;fMMjcc=}8!vcn&
z+?ApOt;IS3YjiHqPGx1CoAu#5c*LxN8S0vud5#ZMeLPoMr)TT!A+~0h_h>wz8Yztb
zH%Rt`pM<j-EL&!Say5Z`SkYG5A&QbTY8Js)4@22sC}d5A*%vrtMASHTH~_7#zjuhD
zukURRf%^g!rs>+I{kgi@%j`r{bB?v+k<2~W2RxpQ!pNkcYsI`fyXP;ls*1aND!Qto
zSE8bRoa9p8j41qksSsMy-i~4_q_M!J^ZN{NQt-5)=WfoaADC!#TtcN@MD^n%Ph4a8
zvF^xCs{$1>?|P0orPr90*&7?v`%6&ipa7CeKS@MNaCLW20Vjm4)%lcX9C&M3pa`x-
zU^`%LMArfS911BO!07s<FCNi3HxdWiBAU9Sv_kEls1A!~PfS5vrRaq6K+adqTv+mh
zQF9n>D*~464-?dVu}(bA^kPl)n3Q$UZd#QAOP7mEU)YppCysU?x2@fDTw?+Ad{^zG
z5xMd~jlk&N+!l8f@BX#WuTJ8N2O|vY-}L4Az;%>}4WJaVMM<h?sxVwwb9bJ00$4};
z>NPQge%;XN)vn*TkqRZ+tcx`}vBy%Fars^(W9|kegh>Ok7cB-EKLvo@rLnnL9hq7b
zr<vjA=B9@@D5vh5P~_s~raC;OFWk)XaptViC4UCQ`f?g~PfvM__9|n%b?|{^c>8A$
zE&VKHK`cm{P0*#$9Alsyr{JB*j|r1_Ef72|R#tXqly%z|<<O}y0aqVi-PUwNvtXw}
z!q!h<!!o!`bujrQNSZPL=JUxlLdjkw!Yqi-oMabQS6!K3bllzD_hwYU_4qkvuh$oG
z=o^$$w3DV?%SW0lQ$aQ4-~bD_cSbwe-xl#{+l%c+#+)xj`H-jH&F9UQ?CT85lO@MM
zh36FZi+t4ISHPprtPaUypFT|m3HKn+!Zfs9skhCN&TPuplDyzj#PKxqsmI95mo(k~
z0l)s(PxwC}^Tv{C*1CkX+W0|?Pvv@7y#^7x4|J(r>=z7!IX`-mv3>jYn7)gL@0J>c
zLxCy}n5$fo1uTdxQyB12g=29*ZgYlK9pLA2Ku2QeP=7W(&Z3c3iGXl^2w08<VOal%
zczK98K@i=?=X(ZkW|TdHRQ+Z$C%th8O~jxmyE5_ASIyPujo)9n5An^vk*!;fQm`xP
zJY-)Mr3GW<tvX9ruP*5q(stZ#5oD&TNFJ_CH|RdL&_n|3`&JOfRCV6QPO%;;yvk3=
z4#XmJ8xR0(gM)*giLT}46c?aep@~icR~r>6-6iG|nHbrdW+gp)gT&h2vTSiNQ6Yb{
zw~YF*9wkXg*XSKW5HKx;LY8dnZFg$l%lMDh32-KYOg=E=l+6|56Ve-7QPqIRrEZ!%
zbNvRF4El-~-{Uj<x5yF*Rhmd$w&ck`xZz+7I|gvo#mnp1l_gQZs;&lV#t?EBH^1VO
i-I>GxF9J2Y?$#%ppOn4quq>29*|O2ej%(xh%ijT$xRfOT

diff --git a/_images/607f0166a64aed08effeb0d2f3ff7b746454a1b5da3bc3e6aa9e9da4b8cc81a3.png b/_images/607f0166a64aed08effeb0d2f3ff7b746454a1b5da3bc3e6aa9e9da4b8cc81a3.png
deleted file mode 100644
index 84eb9a7500713b872f418ec72fb7dc299866a0b3..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 174954
zcmbrmhd-BXA3sb}r9vnnql{!^WJOZ;4rNC&5+b7{qm&{do2+cIlZrBml$D(*WK~o$
zGBbYf<GO#(^ZWtN^?Kd+)pcEbzvp=#$MN~R*XIn>(Nf;Nb?;UR3X1KjDhj$36zkk6
zC@4FqHsRmM8&62%Z&GfGhHiRJHf~qXxmZ(Zo^x|{aB_37vt++w?c!?ZbV*cDQc#Sa
z{eqjDv#Yd_kmLXR1A<O2wnA)N`|*hsTbxylTq!7ao+JOG%$CctqoAaqP*srE_el7a
z=zd(k=ktx^xD=D)Z#SK)p7>Du(*1r{=}QyZ?g{djlG!#B<KxH6ugAU^U@K|LIwV}X
z`tfwqn%jizJnKZ9YyV893eAR_UeonF$^ZMm)sBEQN6P>2pQr0(7uC#;EsjKJlmBbk
zdAw3L=D$CZ|C?F=ps;iFfBy;pyi752$o>EMQSD=L6#qYd)p+e0g&dt9I}I(Zyrm_l
zr>7^qpy{44mA_6wv)glWa&F(bld8{G{PbyUYwP3y<H2MWy4|~#_4VnEjg1YBj8ZaY
zS60%a)VNYoQdBZ@H8eC1OGvCeS8U+9i+?<E@+9qsn|>R&Sz1_3It4`vhJ}UIzI&IJ
zn;R4r)pfOO$M=XMY8l~Qzgk#{FlA<D((~$k#dny|(a{A22P^P1p0~F4fA(yyid(%h
zLonvOm55gIG0k@&ti?~Br0S%c`1I+MPPz&$KR^G4uEz}j=Kt_WNiCX3i5@=upv?8V
zZkp2e;QRLv8a+Ai@#Dum%*?}IzgB0TO7occ)?CGR{+Q8zs&(2)GUr+!$$#qYwY+%o
z-u?UAxzr-7KYfaob{{Wt8`FLB=FRG9so~+_o@b8CRm;=cHg2VVbfGO3Uu<#ioP4q6
z+aEn8JO%}(@;Umexh~%#j#O4wHYG?!JU*RkX=SC5qnpubuk62-VUL`T4BIiU1p{k+
zUV7749$}aI%1@C?7Z4~eE>6Km#>U09<r#@y`Q58%X*pEIXM4<O7c+BX-F;@eFE512
z!x1{m!pzLv)Z9$&$b0GU;KzKEwWZ#{p`kaEgEhq^B{j9R8|>}v)uQ<Wi;IOzFLqh3
zE-!A_xN)Urlx}q1r&+4I(A;)ma&Y0_KfPj0MO>p&oQU;dF|h+uQcULN=KZg(-3kiY
z#>mL%@TutLG4G{iZSDJkfq_jAj|2&rJbRRztA1<Kc3y)5mbdp9PVzJEqNTlg_wMFU
zHaTv7{@`bhpPzXDyP_7!J0%w(%+@^l_pjCa2OKh93lCBigLDhe%KrNOTUbIuSukc7
z4b6?*+(Y<9r5t?`?<Kc{goM_vu9f6^UaEDUpF7#s1v4Eua6sqf6-U0)k8fjHq@|^?
zafU}n-_Cq*nVOz{)8C)e_ws7TBl%lvalwlhlpGxR^)fZiwIs>z*}J#B=-f#b78YLP
zr@WkD0j;e%GBPqAe}B-PI(5qJcW)H##lqTpRxWC0b>$y5t2DinlM}8j$Ebwcx-t6g
z`}b5i`u9RZcmC<G7+#$D9{cd&lZ#z^n|AI?aH{zCL5G(fkB5?nhbLY4p!;}disjpT
zk$k7Ova+&To<EOk8yf4#T3A}r&C%tWo9I)&zxT*$mdn!OqOilK!&r93!8iUn=2ge8
zT)ARsY>dOTg_^pyx%s|w=su2!da_Zr?G{{4HY%NoDrb45&le|VN5?Gg@W`h5VK9qS
zxQKOwm4~;51^e~6UxObKk1j9$Ec`W4wdVVz&C|o9wZQDCpP%0zNoV#%Y4-+a%lc85
zgv7+2C)V3^b0X7}L)#0?UizBWd5I0b58F@8B(h=KwrzOYC;Q6XX@fc>p1yng_VUtS
zyB%!DG|F5?U$~5JeH*lU?VWXSXlRygOOk1oPvQ<%>BAP)6k8eiA}31y*uRdCH$)4V
zIJ>)BV*^P_NsT%^9oXX3|0?C=-5m<b%A!{9X?mYI231!2ly^5+iA?lYG-BscN_sDe
z;Yc;g38t}A;n#{irYs-p=e)rQb#``sKe>dmF!%fOyV;-JW1oum<JAAV)b~z~xvj0u
zZLEExt*veOmEUSrJ}X5<MJn^g@-!a*<^<v;oW2de3(Yeu_N$NJS<@boxjMnJ@^AiK
zYwH8y^L0A-aq5$2QC}o|S7lHzvh;IwO)ESZOiVtLr;;HUPvut~K)e4_sr~Nr??N(6
zo?qJQr10Enz-DoJ^y$T}d!n`<meYK$V#n+iyKv*?P0Aoffp!nQ(9lp@JY*T~rATbh
z?}x4oP~P3aYFT}QlKfKOE*_f~Wvi_Ct#3_nw<;@-h3=D0RSDx<iw#y)RV6<n;ne?i
zWJCdrCRVPUqT@XIRUS8gH!W>HzF_H{Rg<!4f0eIxn$mq<{cM_TjQp*irWtqbs=?9n
zSX-6tE-*_|jo@C(PSDHJvYs99qGlEk#tF9ac)xfQUuM~ss@R!t5_8C);89lAd}u?Q
z_P5%%Z>JiCswSs~mA|zlYj-_9eWYAlFs8)5TQG$6Xx;Q^V;nv~j_*5a>5sOw&D)v9
zt(N|d?R}T(yYzPp_Wy{B6h8V*Z|@RYl&E=5BR3wX?bqs?O|inaPz`MUt!8N_i(H>`
zz{iKCr47rmr;Lx7;!tz$-{14%@_ri|o1SuW!5Go26Q-z*)pvKY@t(>1B*%%`H#{++
zg)3SdjWLfs=3QRLY_OMugCm$(BBUYekSi*<Zxfxk&$7pri7)lzUAZ~v2G9P;dH&@^
z`S^}YU)&t%8#Xdx_4rKwJ>49u-@T=10Jc9@J3IAlJ|w6fKTdJ!(j_Ki6PHGu)-l}O
zaNYg1>+=&mm21uM5*mrpQFxriUW?Pd$KQB~S))fJ$XpA@UbG#bY6viUdFAqtR*s2*
zDsBAU8s(PLg57FSe5cTHzI{jxQsAurxPo3sE|-o=Z4yt<VIY}xI!b!`gL<pmw{O$X
z(Vf7$W}7@0EU|6*Fy(Rd>cmKG;4W;%s3+Eqy4gA@GExFc%F3h#;87ZuUSz=5{?N%9
z#&r4eW$L|R0S}MZKXLpl{&#lvpnkSa<@H~_H`uB0(GL<5nhL8{)eH^y;6s~=8&`Wu
zY&DXPB}N@GXirn#iT)uhEL>ljfQ@(i?%kQ8x7$4b{&@YV_&lD1a!4KBhMP>HHedhz
zX~A<478U(>spOikLTYMiKv2+mY%GU?%EZK@SHFEqrD0;KNBzCf^MniA3i#jwI{i1#
z-wzr`H*DU#i<MOq%XHb<*#ZSmYTrD1)UW=EcpMMCG8gNujQrWf3^K`I!eV1p6cjdm
z`0(NHpMhj7#`lH8SvtJ2l9xHBrlzo4w(sA+KQAxOC0}xj-|-6<c<bxyasO0TuU>Wc
zveWXIpJ2s-x1IP>M$IBgBPv?rz-%hUf!%lm^#k4Xt^c;&<cD-~=qXU5wXm|en!-np
zMD<r(-^IYN@kVqs<7i_{mS(&-$}1f@?EN}`7CgJ6>+_fP9rIGbUZJoojzz5%J@@7|
zOCy!@aNYK3exuaY=l=d1(PmS9*H+#B^so5ty|I=S5gA#F2Px$;LM13DSX)>3Sk9!(
zg$qB{(6!*ZJhgcz+cAX{9SWUtH@m$OmzwZca!j5V)G?>U$1{I^<~WSn_~PZuG<`nW
zK!r$tqwtFB^ERKu7r0)(e*O3N=a{Els^;d&Xp5~C*RO8czV~mak++Xhq#BpRr7sp}
ze=?qbRT49J7=!RAch=n5-q^M9{X^n;)c0}U-Ta0RdQ0s^oxdKJzB-Y2`G=~9hvdtv
zf4+SwbA9Fg?~Iw^an3O3<%P?DC9eEwrh>L8U|354CAz@dE~5=?Pps9ILRbP56U{>2
zefVzDU+LY5GF9gNPdq6piOTPWA%ES64<Y#`&%ddS&Ckw~b2IMCymzl|zVQ*yxnK1+
zDA$XfNz&ETmAp26VDrv>Bj_&Z5xH{la=tzVC%2x-GklFh*7egF(CNabA`aX^+U4Q8
zYnEd5LUz*<_{~`1^P9NTqpj-0xqz93y%wC&eeT4?G2vT3lt!IYR=z7}R{kh0t>%sY
zHYSNn1gxC@`7s|DPXvIZP<-~U$I8-?u3UpG#UMtRYty%vW`7Q&_M$iF@I?V295E1C
zhsGpCAX)aQ{fvU9D(F62cI?PBuktZ8F>%FaGnE^*Ri@c6_h&$RYUnMKxWgXo*1td6
zZsCUXaI^Pz3u!e!JmR{NFwyriO^0`nu;m6E^-Ry%@h`8gMc^wtUR*veBP%OfAqVi3
zBzs-A((BreeKG<0`2rC<+9*;|6!^UT23uK=hjA)q12N!ot<hx2KF3bBX-U$=R~x<Z
z5Oyh(F=%<O%&<-uunxVpG1s8*LVNla*Y6)rn;2m$C;YTUli9j{{d(hP4)r*u7d}4|
zNIvGBik6P&;<B<dtMNx$Q*$&_ZuODJ)X?(OJGMQ0_8j(@w1^fm*Gf6zkB?I=pqJKR
z&3x(p^Nu0^H~gf<P;DTP&pp}ea~4ic+IW6I?M+>x(>EVIVwb-1OC^f$wB+TX4Lf%1
z(1;hmkFo+dGlp_h5XFRZ_Sm3MYpgxPsNC%!I`n3XhRB2Tht33-+IK%@$O$IDNR}Bp
zP(eYVHA8(jS%(VG*`lXUn<A)JfTU9JSOIigzcr=cSW6x~+VRv*?_zgBGy0J0O0d^J
z-R_0O#Wp~qR}~dZhb<^jwoku{+^}gA-L73H(MqRBjP5f_;6cjnVPYanjZ@LIFg0A}
zIm<_m1;DpyxmzF(o0sdKOwIUMKrv8>JhPY40MCzo>49=ibvM=v^!E047MimO2?^~z
za!~=FOs>nv$LH6l;#&Y**mpFj;?aM&8!1t~mghb@B}lp6VH7YXPxv0Az~fafbSNwl
zpSG40p4ywHrr^j(dgIcIin(X<_sDvR5u$=}3b^7=a4!&v(}ZTDN<`x*>9*gR<I~d8
z)>or2(`?{q@!75UP;3xY2%X_(x%<y`kBj_JBuStBkSy1dp&ldB^thSl{04aoz#2(u
zX-g-k7Tj!(VR5RbkF3w~p3R%@$}E1~yJru<;9x-)z(L5Pn*93O<NEayG@jn4b~SiZ
zMlY}Ymbgn6y!W|N3m*Jf-%AN>h}zChdY!Vsj=H98q{`vpwYIgT08+XA`V=-b{0=Q#
z^UAMJuW@K!I1l>O1<EaYHKXHTd+>l-HpPkF#qT_xzo#A}$iWyilb3L+_hsIxv`uJ1
z>-AG8fE8@8VG@pB4Z$w=)~l98NeAL|0dOK;2ux7bD|dC`iz+I}j8*6%y-aGHA1-0x
zFg*6wRK;yd_xJjP?Vzn@;*So!PY)VIPkX8NnQz#zp%rIyXlMvcar633)C+tnlFi{^
z2HcBi<^(=P`759XV+R)7w(O&(roMn*23hzwUWwWzdg+T~x!c$q)bX4%`Mn15KE}Tb
zU%mP8VFw!<o35T-*P5-PWAo74AfPL0f|#(w*E~7iuk8ih2D0@>Gc9r+JOQLQ6Ln%Y
z1A`*=e^P~dn9A+M#6E)=O@2nbDj)AFfBH2exHW%t7qS6qE{#`$KeT0PGK2lqS9<@$
z0nay1S>NS#$n=GC(%U=fE0s6|U26u9j#Hw7*JH<^V5Qh~WG*sBvJ_ot;{?A@#1Z}k
zV1^yIbn!O`T+>YH{^sUrLK6+q#7LtB-U;3#Je1o~gI$3dBQG!S(DTF}kNz=(v`(`G
zd&>yFVG%p9o%xEOo4fm1Ysz}ysto7BH%~9L`F(Fm{$4-h!+oj$l`5{AkV*1iu{7of
zmC!>_PxxA%g#P~Z3orsK>hW63n>T*gFeR7zq`@yv;t&J|1?l+~=<xo)RzqRd<2me;
z)5^ue16ny5x-8gE6R0r$X%+`g1kHh*yWuI{i!*8$FY@8hrn~?ANX>RE0oagH=xlIc
zV7)}Vl8z1yHXSehJqJf#&|jvrP8Tn#si?e{NVd1L6TaBVi^a?;$V$)3dWZc&$^d|R
z>eWB}=9*eMiE2PcMbDqNh%&jmxq%*{!1$ED@Vj_3>F~LAD8-qms0X;YA4eRTR!s&B
z(|vx)43+*p_I~WqtAaouJR%~~x$^*BJF~x?IP*v3cYoet5fM&y_T#esF)hr}ZoFV`
zuWxNWf8jy^*f1a<@J6C;hMKTruUP5OYK9E-7XaMvalv+KN+5@K?%Xl&)63T3SX~(2
z$->Gy)|I>a$i>b_r*qF>6*wC&`<~gsB6%Yvg=27Vuqp9q3<_u)>VjL%(bTlGw(f52
zc{7`5N>;ZsGPqE&fGfS+X(*x;&!p%SU7N8X-3_P$I0?O(mXWb8oJ+mk`x_RQGOBCp
zPx7dO5_qMCrskII+coF=<3w#md{@07s?^@zva9IH6HBm!9?!a#+MwM+lQT1E$8WA9
zy%V@y^zx8`l}L|-?*M3B;l~}C-2p<2(@9Tj18&^7;bc04_WG{AUX?Y~ZE8sIY?V(l
z_PXTtIezf6bR6Sx$$2qOPEMK)@)bM2pHb2=Dz2!g=ty)zgW*Ae00qnzwZ1+(o^d&D
z_d@+Ht`AAF>fkW=E_NB21gx^HVMKjR%`NoB9PinOA{ScO!Qta4Y_qfyQ*k);3(u~^
zw~(%n+b?q-TzBTo83;28*b3(^Tu?zVY`<^bTjg6-zR~aseQuN0^53yt^Amk(_<?}~
zN+9aV1HNmCJlaXw+9TrP;tLB47nXk|2mbhR0m8{m1x^k@!4UKopV6~x)3QL1E)!p*
zP-;&CLyNLX{Fb$PTXT0OIRLhCD=QU;=(oBjSfPeb&CZ_Qy-~AqVd<YN(PQ}d?t!L{
z1O{W@py;-tF#?CgOvs`seW~(g3smsCdGocz-FPqPQClx|X5WM!!x={9>gsyp#0e3v
zo$o@~-o1X!(f1&<>0>}JSu%VJ5V~BAhdQV?h@rx0LliD#7)61Cso}@)@U4;(Q2>d5
zb*$05m^N?Us}Lh-hF@%Gef#jigKCh-*7o)jf-&FUx!ZuM1T%@=LA$baaL|D6h|b*H
zN_TZ_)f))!LSOljM~i!>xXk+_@S6a#c0Er<4bFxN5p@N%;MeEpp-1dLPEPb41sjYx
z$7!sqONVEger@I(Rzs#+#E&oY2o$86Pp30<>#?s}J397DO2z{G&iozIyPrI-XEeS+
z{_9}P-CtkIBGBvU_Uxg`7Rjr%6h3zB7(H+@%Axo9D9^=dF0|eh5Q&~kw>on4vYb|h
zxVZe+Z{7iDOVHF}mn|eRh@HT~AbuS977&l)qkAW(r&Dn~`uWDQxo@Ay-`a#0v&GD;
z&n-F5jENHPj_3gB<!d(QF10?QMA;E@?2V+|uhfcK>YF#$@5=za;F;6F2OuJ-b~OeC
znE?S*v*$STCEa?jt7vHv*d8fp_7Jt)b}9Jj`~wEx)kPklE%S<>IL{n0jVKg@Sa&MF
z<9Nn^IqUVKjd$+cxmVml1#Ph^oL2wi1PED2@%eWe=hwud+OYM>b^&Bsn)@9;D9a}2
zqre&FH7vN=6BrU=Gf?TBAnkq+r^7qrMtWwZZtfWY2M34Bdl~A(fE!TCY+f*0UDcFw
z{YL%m+czAT(cHD&8z=#cNWnjGV%=7MKZC-vlzi%r0Qe8oGEj|%;um-%BqShH<rtUp
zVX;1x2D_9cq^BPMmP;I~fNCe>F?j>mX=}gCmIwxqQ`-pX?(&r@+#DQ~I?X3#Wo5tg
z_1U2vp}Mcs@zO9e2bGkREd41M`)?b~EX~>z=@_TD^3*u+%!_L?nbM8_)a~sxG^img
z0D6tbiyXt(0!^GsRoDXf8f(wgG4iyuwArna0UH7vj!42dj1l?YSH#p3!PjnW-uVqW
z6R7~GT?FQX2%z>tVI77nhOH{)vn=WTZ*KJYfRA2Qf0j`tj@J`2(<2qClXJgKHpo9B
zMXLn@Iw5KJA2!nX$Na{xuWuDUdj<jE?u!?auU@_KnES<qT3OfI`w%TVXSBGe=+O!P
ztzTYTzO`=SR;xqI!fAoy-@o6jsF2;bjj?HRpZ|%Q(10QM66t2I+>A1}wDd#hP%dAq
zDN&cPk#}I*k{yQ&&;4g3ee|g7XamDTamNOf=t|F>z_|cIR%HPfp1j9OPmgu*{I}a@
zp>XG&t$2t{j<cr>;i=18R8LoTa%yVu_vhyhpP$`Fg%b7rd%^hmrTjBg5MUaxHB{Bq
z8pNcOJNzfHju-6h^+1T7Ot09X`haX+TUm1Vk+@NXo=-j-qU-*M`fP*3eFO`4c1EI>
zktNN_;?Yh%Mr6iF0h4Id1-)kuMzebu4xNFPwb9je#*N|cuS+&ic0PUn?CU;&eq;pL
zQfOXP*U)eePx_p#?OlI=f9a+g2(DP^%hMyOgqA|a=-es~rIse>E%<Jhy;*%h@Y%Cx
z$rcCY(D+kYS~?2B;6+(k8yb#-?6C4^dxkoIkROmQpFx2JxE^#|tC9C%2Y7g37}Wgi
zF6=2fw;mkVYI$MGyfie|xb$(aC~SkUv~We=WD{%?z;pSEc`h!lV)vhCKw57@PlU>r
z4$Mn0U`$_Zr~wrRpa|5)6;EiqyRao)HKMZj50LMzsw&^4_t`qUle4o#ri=@TVs!QW
z{(%+DF%BD)exe)7fe5h6*4={O2<LfCUmPYX%XrtJzK$Af07;jT0BKq2W;r?hP;hWC
z5T12`wQ;fKMxnE>zCs?pU}qPG`im-a4Q0@*+${zCcZ^T>k@T3)!sJaTCOPr1=6`?Q
z9i~zX*^LR(HP}jnyMu|Fn;0IOCFK9VsL?g{T1hgh0Pb<p?tBnM#>yjnxzE1xkOz2E
zRZ+3{RCG?v{$nuY;x?cqC-Ej6@k;}h`8$HmUO00AFm1B<H}{*kCJ;AAjjyTZN_k)#
z6Q2Xp9{v-HoKFG(zbN`xq4+}8E*6$15Ne!pZg7^mwl-QbGqdoB2qN>L(OCazO(_dM
zMYG|~cIG?4H;vH(jgt@2i`oI7@$U$jS+(_Mt1<wR_|ciO3wtgD=o+^YZ{J;z!~EG-
zY5>gxSf7-1IXO8Zpg+IVM-gRm0e^Jpe<h`CCSN&%Zj)zPM(2M*9z6ZBn;RO^ZGb&J
zK=8T{R&_`+qWm<>Y-}x{#8MuUkIHK`jpJXUo<ux+*Z}t9!nMB|wY|(|MH<bmsc7OG
z4hAuQKz=fz9s}8PbhoSsk-BsA3O~f7G;k7tTNYnmUz8S9iUAg?b?erBDs$!8xle|m
zKM?Wlj*gBXH$>8{T3bDemfaYo0UHh#6%N^rh=^T}T)JA|`F#3hc!!$l1Yo)dzo0-&
zW0~*TF~DCXz9<o=ewo>n!RnjqS&n(d63O{xO~b%7SS%qSAt(U?HFXq1=9MEj>$SDD
z&NyX2l_l1X76(hr=YRFopuE|&rEY{Wq5n?PD~@A^3kDb5h}(d~;N~@uLc3l^5SbBo
zJWidLKnIM8>OzbF0QCc0Tm<++Juxb=*}jWMt4SwieN<2?oEWS~pwG%uvFmp&09=Y}
zH3QNi_bZ1yF!5gbJJu1PkgD-HB_lHv9>57mNVGw3UwJKx7_=-G&fsJ`lyC|uE0Y2x
zIsHx(MTM4)ZLQfaD=qCLo^H=`CpKU<JVMRHsV~Lnm2s(MXbA;Y;f<pSl9&BJ{&k*M
zse)F6C6RxD!dG&!>#+uyQP%@kH#aN5IN}kYKe9*Ew{~}Dp<iKR3wIYg;$VPU+ZvyT
zILVNsuV!U+0B+RE*mrW8P+n^K`Vvtb4x_SerRN2L0(SHg9Z=w;g-(7Rmq)BE`~Z2{
z6!=m_s75Z1j%xs*IF+e*QonjjgWwm4xR2`-!5;{qr{cQA_Pt{7pAJ=_TY&0X;7Gz|
z<<^Kjj?zPcGd~FE3~f-{zy;liv<UG0WIGP`K!wx-zOO?=;kmY}-5>%SC+`&Dp>t!S
zqB0&dD;I-j2O%@deo)|4>IOI#)opEIKw3}0ZRxje<mTokhaN>ZEHX0kP#N0);__li
zZ`T?+4Y%gQ+hJj}gc$;B#9i6e*4|FQ6ajwF*@fXLpngyu$Jr0VqnEudZXm)Jr3TwV
z39gmM@4x988UA<gZl0T)!y;NARa&`wW}JwXsA^;nVaF;O7{tJyZ~=_~)QcM1*#qGc
zM>--l_B~o6?g&Tk{Q2`Ws0I-2rNR&9pNWK~@44<$&lAPpn;Ju+)Ya94aN9(~0ZC{?
ze+Kg;+%iVU+y&*1rJjoKIT3@=sahna{LRlo0o;ctqya(gu&^)(>dQN9Jba}JIKn~Q
zbSkn^7O(vjl$8Fn9JlX{wELWa4qxQ8=mJMGR>El?XgiuiB<}SIp0~S(wU#6>27nrI
zTPeO&ddK5iMC{rRKx&N2*Ry~cWeAB4$5Ef{08m{JWL<1esc7MY2LsVMbu!eVsBcAg
zJn1;<KCXba3<sYFhAFO$mMBkP3`Fp{$8ZQ<B@ye;lN-bsl}$|IL8n?@UUhor(DMc*
z3B8lJPWY1x#1NK7x5a5|=+bDywzx8uqgR4!YZV9__|;P)eE4vy2R}r>kA>ztv(=vP
zMybJ1JC4O8*NVTSNP+&CXLL(}GX;Q=>Fjf#6;F5<AhHG_Pwaigh<JpG6^FG47e8@;
zju<i^;(Lx<)X$v9C55AO4FCGo1kgjV2jU;FFuV)dcOq}!zAe7;+ZYW)8Paf<f9^JV
z-fGn9F2=K(Se0`)qx!jL?gK~BFfafuY=oROf>H-9an$ewO4<w{wT6AG85$C3oiL75
z>D|LGuaED{?K~KzwrK~83Xz1NJcCfl)9_;VD=8`MWuW7SAKj6uIgIT<%%sUlXJBX0
z-}4Z4dp`KVd2#&w40isBuvA6##jl{FM1F*;H2Q+^gHzRt5?05s(n|^u3>1aNk(Cu%
zWFwG9iR@W8BPBL1N;Df_#;QZlz*aRkTHPRD{pAY_HfpK8PKwS*d2Y2Y6P!E0TemK|
zxac~WBJTl@L3jUrPC<bnYB#`3iB0ofSjg~TkHebtt^+-@d?FA5a`*DeAEkk63ivSq
z+eTGBvaoN}pWSNc$Ua*kjWY2a%w>7;dol`0lK?+yzo;gSa~|NJa^ITwb8`B@+ah(>
z(D0K)l@J6ikaOt|r;(jVyI)*&RnYWBHJC{3;d6dV)$CM$z23<T@b5u~hLGHVVm38D
zpJiBVsq*xxVYvenU|vu3L1aCGVgyt4`MO4x!Adt&!~A-fHk*P|L~;udN{J+hBudwe
z)vDh{DQOEfNoNXBSU6BBYHC|ys|@f4__5;{FwB-`>GS!H&kEo}0g&2LPHuLej%KGK
zIBj^{7^(yDz~N$<IL?Y45glG$oRLyHp{k{2^DJ#Y_7_km!5%o8lk@YCDGn<4C4)ea
zJ&OClS)-w+$34rU*)oaRetYkXeX{Lzn7x@9D*ACO8qT)48Qd1st#QMlr*yhKiLP=E
z8hwB<gcQTY(ChY)f^m+}5$^6#qntk41b8-K#U9tLd7m~lNX-pB@i6#g*)+fDVL3em
zyS?~O{<E)c^JuRsq}tx#99?T}#>T|ibKi7EY3!3PYz$LVQ)2Z)&R!g+KS&oyGxmey
zOaqhLCDZ7hKsz+ZaQ`62T`>=CJbI9}oLYJ>Fc5CYj;9Vibj5~Ecq~RhBIV`f==DUX
z4`Gu_8mpgI<^ttFOP=~!SoK&m7c9mQ-5TMBrY9Mv@Z_;H-(VhjElkSy+3z`?m$8wP
z)_)tLRYAlqNDGa+;4tKbOF2)n)0ufkwvQA>x*R%m2pNGB*jFW`y#E##FAu)ih>P!x
zci&6ry`H{a71tCF1ZCgJBFoDgpcu4!_}jM-6;Ans|JFFWafxs{+9B=&DZWNUixsuq
zf%3Obf0UQ#*)WpC!dH~j&Q^GWhmq=|a)1+Tf6FfJ!}tyUpT;=fNpijgXOC9O9M1l@
z!|bWzVe4rt5Tl&7W#=nbY^K7wR7STR@S{WLATl%*?XY?)Qcj>CSm#RnJ`DN`(ZR#h
z)2C}(H7`Ht(Sw{X)+IJ}`cdr7oL+zWWoNxkhw?D$J=Q;nZ<Gi2GJJlC6;M&{Y9aX(
z7G6sCith%P7R^xXrLO$igW__7Z_^9V!SNSOO_OtT-*8l3ym*m)Nc+ac%D~ybrw;J6
zVJqXuvrd^`M$m_a^*ap<ou8rlHpTI^!Z^4Wl9H0G>8iU3WxLFupwCCh4)LjAR%Tz{
zzCM79PJwRAMvZ3Yhr_X##*(WdqL*J>Yh>IIDBjRXzhKFVqk9;AAr({?1|${uxVytN
z_y=iNkS2S^r>AT9+;JPjP&^>H><Uv+fF8SL%a-xjtYGK>zo1UR_Dapq*90y(XkIA;
zrB9hN3?_3R8u`wB#}3Gd(F+I&kkAL5D-tuad9|?M0U@Pkutr%$Gs^O!jZz1<CX`r%
zs_d3zx!gLh$s1@n#1KQML?kf)R0_$Eb&yr^^7G-k3X-@_QxkQWX-IN1o6|t$D2@@t
zl8lC^v5uD#2=}OVmk&-%e8}m@Ds!LVwk+Oree>q=k2$ws(rwzb2{?2L=?QF?w<y9e
z%hLe4H4-Fgb-E74<Iwl__hY}=%s8&hle`1&?;DV9Y<xV9IPCW?71v|L9eb@_1a9%G
zhRE{?DIGkK&OD<CSWd(s{`>c@ii%40=g-XFl|vUseg?5qx&3Ip2}>!{q+MPx#uXbz
z+^Oe;hMSnNaj%#|=Yy@Ije3wTo<4mVaPQumjt;%P_Z2vU2mr`-{OZci=0(G8L9ITh
z^N0d`7dfi4W+#OtCHKHjpXjU7wmh-Ub7_fspI87mclysu+qQ2X#dZRiT?ZaRxoz9S
zwdrk$E{#hq1E-PH2K2vEd{MB!l5z9rEG;2$tV2h(#2LN#e7dC;kT2V`Oa$j%|M`Uo
zwG0{GRTji;G|aRRh_k>+M_)aaslf!XM-z<@;RFr<V6dvQ6+X=~wk@4ZOV~(fY?FKf
z*{NRnt|j424Udfl>e7(5vtw=!bq_E-6tEqd1)ys5{GS0LeP?RKh1>lUh|{QpaxR5v
z2x>44a~=4sggV0aN0bOB(dFkHl3S^5?H@De3#;0}@7*M-v2RE_s$BUOmYHs0<<KOg
z84s7N@XV%@Cr)(!MCZ=y<urrQOQ96JM?T-UR1zrg*+921YniDQkT<bLfU?%>Pvuim
zQUZkLtSODr?%VePxs8RH7C9s;)6do18Nas`*-LZ<h)MHoGVD?Zx2!*T^3G0XB>?)4
z(-UaKpGs_Z0%j<t=;$=`K3tj|Cn5$4ut*#=9uh)9Ey=#CfzO_aBb%2Bn#yE6w^9Bp
zAPNcb#m4S|%~~KBf8N4^Xn@#}GCtF{Lw%X989%o>Ie)3I{kI5LOyjlbkuAz0EN{DJ
zYs_6=aGZXuf2L&+zYL1Ch^s~8eOFg^2aWA9!wBMYB+*hxZ=t!s5hX2814lL;i27n~
zJrK+3Z%d0aqOY)}Vj=s}(bK0-tUSEJxp)-HAMo~*ODmplYH9$lb;ZRcmrw8DMD|eV
zPpH@5GhC<P!U|vcWr#-<J-8`3Jp2v7UJtk{q!ND6-ad-Cjx6mG_z%EMV7$K!D$Lik
zz>dJmM^RM)BB}4+zg$$3r4Tseo8fkM_}ieCm4_s<3*oRzy6d+vGsjb}Y2i1&VoxJb
z*a4xFFcu^QaPVF?Hw$QcMy+-eY77||u$NJ%>-OiTcDt||jXF{>Y8k+AQ~(cfX5T_I
z66p)>>+6fFvY<Sdk^(7ftC7*EiNbK&t^Vuee0{(4eF@7@LyUtYTd*Lu3tmv8fzFA?
z2H%CGjLzg6d%O05RXe-50K^in2^_TG%FWFA!~*lG59EpFk1B9B^!A*}bhCq@2F<;u
zxg+AZuWv0U?WQ|-nv#wL0qR>zI-RZb3PfNG=ovty#HyYS`J}=RUo~>4=0%I`I=IQ5
zLQQG?_z~pm4i1GVOc_*~$O&0LcIT1zwD1(~1D=rJ8<I~<t9`(1hQ%&iLP>JUIr^3k
zmiKPml6||%x0x2*BmU*l;<h%#<%Fu1-vId?M0Vqj%fE$%B8XXNl3Gwi$RbJHvqZiJ
z{!DFmcMJ{}LP(+1!=8{l(Oj$+?=c+U;o_iL_f|bRHKBsFuC6XUJ^kzN;aktMcCTBv
z<mnl_Pxc`ivyGt$4+qChd_efahxZ_zBR_QlE-Y@t72Xl`A<E_Vq&k2e=E$1c`QM2@
zVy^^iN95HX$SY0Ba%>e<s}u0W>z&usp`C-{{rXh4%ilCah5z-3{v9UF%x-ROaM#{;
z_1$_@O+n${*m(Hdn+2!dK5tckES!!(xYGKM^#fs6dJl(3)mxF6A(jr&h+WW)qQ@Ri
zlPsN(VfFXw<Dj^V{##GMEdaiqt{-6Axl=owZWl<Bm|Z(0R&J|LYQp&uYDgDBhz$m0
z0zzm5n<~HhC+T<eIk|M*?|=SiLnSwSVzmVri-((g6Z+rs@^UsXaQXage}8gVQ0egl
zs+sb?&BGBr0;?fu9Qs4|6*x{FP*-eiS4zph%lj#2{B*AH)dIac+d2kd%Dt_x4}@|l
z?(k_cO7YuBeFQ|SIA~^YOed)&x~paeYc^+UC(DOZ_*v6F4c~Q~!as@f#0mb?7rdET
zaVOw&iJWd28Xksxf(i;u{|2U2_UT+km<<1Ajr6{>C_Vh=g_Qx4LQocBY9|5~eLt;5
zm~aBVLCnF^RCaW%--<H<j;1f?w(U@D`BH#h1g!!my{D22=P|wNPXVLqF&7<#HC0v5
zAt6EHr&vwjj87RGe<PWa1XsyNk6L^`N=n@D$nEZTp}hHdVJZ<c2S<2I-A{4)J<ui%
z6K&o0MVa6DWMnjDW?^9{G%nN>@D!r8qfCi~e^)+_Y=ex?vLUO*K6vf`<IkQwV=Ave
zGid=BBJmOEBdwn{jw5gFpsbuu$ExtnKP(+6uq=r(bz#o|)yt9}l2%S{f6|1kKXi@a
z%fm_pdvxaLb=hknGLKHF%ok<jk*&EiN56rr)aBt#^u<d2ytIw!RCEIL<(mR-c^~}#
zwc2lSrX=qOBd!DX1lR(WfB5%rO*BgweO&D9>>Z0sX++BRSzEa(XkHl%BNsLaZYW*X
z?hfPXZlSY>UB78u{FsM=kX9$y3bo!wN_vQGfhps(>Vbp4`K;2Oj}K?JQXtS-^MK=|
zSW=DM&%CH829(m%SKpuFrN@a$mRnnn09p0zpkm(-!4p+7&+Pe*rmdXfhfnZp>gLxh
z)djqfJD)9ZuInB{oK3kO;HCm60Kf}KmM}BYfUgLOM7Z?=%l`PfolLWFjPGN=?dU_W
z0#fe>ofJL3C{j|PAR`iW<jjxbUGJKq6MYjfX5YH~cv~LN^x5H4Pg!qB^4;c(%7p<#
zcOPQfVo!IT5%EM9hePE$r%n?j0U4Jlw9q6j<h4?g<O_g8iqNL8kYm&P&WFvj1nD$T
zT5`t9Iqk#dYiVz|0-?;NDOMixnH?lctk@`+1DQd{a=Vp5%fytE<b>6?g*?slK|;r|
zsPJrsB?3!(54k<M_mAXUkT}2jo+fhCp5u?y4#j!lfDK&SOG^&DMI0uA&cMJVX^PGP
z4<bYQjNq|jNszDxL1jUM#c-<(Un;LO?^XN!i9ImrM4KHixmEECm_H%r{z1J=t1|h@
zYcqGifzI38tHXaa0s#O%!pXP3=)Tq#7!aUS6^dg_RGor?OLw;RL4*4A@~RMgDH7G$
z>vZQ4-@?mtE1qs6IaGBv<E6JaKhm%@hrbOXkDB3RSE;=Lj`;_u(q&hE@10zWqJ*Xi
zYF|;el{I@v$hP@m#y!>@+m83VD7nZwA-P9YLlWRG&$vuP-JjeL<@!xza)jhV;2RM9
z<uSERS@~VEF3FyBbax|oO#>c>q!1v6>Yc4-D5cN>AE9IMgEN@S_T8gD_~wrLPhJ~q
ze@WqeiZO$aOVh5XQ*D3byS560h10|p)U<&}P{8yh=V~_1t|dcSh0H`U1!OlglN|i8
znC%XQyD3le|E~QkQrLFVaf=B8v$zaGK>$25P0L&~Vh`U$A9nruQGnQZj{ZA*bTR~+
zoeH2HY!t^QCJoM#fC?#2509v)rQfaE&lnUZZM}7)fB@~l(QSS=ezaNteao5fZNz~C
z2@Ojm0g;U;avC^>Ff?{x4LtLX$RABb&z{*#*9KDcJH75^7)qs)t&oSp*Y&zOj&{!;
z6||*TU>xH`d!R%(5?mY{@@C58wwQQ9?lUkrI314%MwoPsg*mL#5EiL72u`|~W|yHg
zi>-|At_>BGcj0_dahz&7VA!E~UENxU$^lEn@y2};{n$wZCP7J2+YqIjjlS=yt8ZL$
z{m!Wsa@STuK1adp5C5|aM<(cG(VGKq-`;>Ae=SlnodrRNHyyTapr_yZR-3tK$KxYf
zIr^zOyiiFjVe>^E)Z^~6htr3Z_Lo-T=K;tNwfW2I?7ibA8wVeCTjTY=KR?GnNc(=F
z3ACoQ+}$33Q^11b{EwiHfP|P0TNMid5&hp}G<)UMO&hpm%0i;~{c(vlaWBA(pvVx3
zCGkRPVPOl*CuqM7$xdoqe(WTwF7DK?0TE5~l@EBL$^kkM;Y5MqlY0San*N;^OpT>-
zF5B$FG<4lITPKGOn7E<sYEfyaHKKT=dtfKP>VJ<`M<#brS6kX*Q75uMTmzC#Z{0Rr
zSlIWvJBq0z6E1Kd|DXBkX-lXy<I^^F9D>;2AS>Qcd(sc0J;z+}q@t!C0rVk`PmLiL
z_BrG$j3S+mW;!32f~&8c8rIpg=ofm(Z{7r;{$biPPCJsAH1}PJBKG6IIY-ztu`<_O
z3K}HEoca^^PUmv^{HFesWbvr5@G{Sh#u%Xz3<o(`+7PoUDd}v%c;reqtYL0QQ~>+J
z@Vqr7GGKvVqD2w*yz49kPj2?;#@Dk_;SxLTu+Iz11AdH;i=2D2!PLy`+T>SCEarIx
zaHOPvq@Q}_aoOi*_s+1Nu9H4NA|khQ^tkQa8hmEHZ3lb#_f4V`*oH(Zq3OGtS^TTI
zS6X@mkuP`;07n}R(5c>0o5pe3vU8{H^hkZ#y{o@rm|6e&MN@J4j>Jx3A&U=W=gRD>
zh69Oc6fyB&#*pj;`d`fO6fjq;h#g%+QOo3%Ea!X-_43Nq`#YrVE@#lv(wei@2BA9O
z6F`Dmv`u!m_4e*X>%<w2!>NWZ*WCJ#e$SrlxiePu%9&fxu~9m=Pu=DDy12>OfgWVM
z{<KjXcA*Y}u_60pA5YK-drW?13ElkIIIP^*cyeOPQ1{O4(=VSX_3s7_0rNl_@r^+j
zEnpRf!1y4ypl)z|o?d>SW_EMkMqc<DILPN=yd%KEU1OgNpnKs$w$i~Kqf>}=ZDn}2
zF6QWuv9T;>w<I$Jo^C@+L3TsGz*NdaFz_!7g1<ldS*-))EO+jfcE3<~YAg^sSUa-Z
z7##T5YztN4DH3Z?Npk&$eNUi+*F#zW3fu~hx7m4+ByIpl+{QZ(noQjKdl;Gn_)x%r
zoILF=Qes?>?8`QF#1xyw+Um;qrQKy2uvG&#Ql9O9_u;jCS~x#0xDJUrbcoEOa>(-5
z;p2UKx2_=_#*RHzU45L$cXocw&|jc|Y8C8KgT*9U?tXG|{=~>iv|!@V(Oy<N@O+dz
zDNNVEAGjuR7s)z}gYoTOU3LZ<=A9}$6Q^+pvJF6U3Yf%zS3mTp;|$_cqT!6pUa(v+
zwh@=}as|68Ha6DE*!qMXB9nf)5B(N?pL~3}Fe$$^`>%@Y3i5~#ffFFa-etMQQAuVD
zt~h>Xcex%SA``H0?}tIel!(FR<{pYFrc+>A=D?#`z4LMBO*JOZ)nzGY5PF*xGf8NV
z*Rbf3Qstk#{{Z+Gs>`PI?iah;Rg4<$K{!KGK5k)Q@yxPNBn`=#fVXs!?ezEGEra^@
zphe#4sfJd<DK37dZ)n^$4MiAJb(mKgqFz&abkRjHqJH|9nfRqnDr;StI_}K4x=Fix
zDhE;_+#?EzF~s{CRY94ChK4$oC$0tDf0VQ7l8;W;Q)Bq;cNF980n(C^_7R*}>b0f_
zX6diMNx-goSL^ao$V46<9wR+o_6WmM_{seF=8Vq^2n>`rH<vT$4;RDYXfjKjpl4P^
z-8sT{oSB6s@6z_Tq$3^3O@Q1jKb^@(#fHEKwOR4YmoFmjIRsT;Z;luntvkK`hVDmk
zDq&i&Hs{~(??E47XABBc%ec1mk|w?W$B*%gBLYw`iJ3{F4B0$l4xeajZNF>y4vbAf
z(u1V--s%Z|(A>3a*D_3OxwDYWV5FaBxq4S+=h34_6*x~N)#s$8-752!vMe@CyRn4r
zhVsn}dpmmY2o9{A`=4%z>ZcwZzsZ08CPZSi)rM0|I-cpxTdrS!DRYSHJoFAz!Iq8z
zMXAl34`9*JPLRUI+8z~oYID)f4(d@{@|DU8Ko6+en1~TAjb2<>V5d5P*eu+N;9yOJ
zkK1@{RCcvn{g;PzcYsQ$9DL)J_s4;we0*w&D&cWQIzD`u$SS3N_wHTpzewBY!x=if
z3ky@{lL}bh1~JxmNabZ^W!-y8ALQz|sJ>rQ92ypXO&VY^TxCF+2P8ZwZR6!711qj6
znx8a?GhWX%;zURYytTEJy72z}`^~4nd>(*Mcrr)-+gPmK>f9?9J#+1y-s{)j*V4n$
z{012#PU{S?BSvX`diw()9wCVD44n_7D6xa?m==Y8_&si&&AD@k3#M2wvL1SJtE}u=
zQp-6+F5T_R^1xw7(S?mJO(KFN=U6y+;|2xzQQ*CMq>VG3-ObFrZRB@vN>)}-PL5Gh
z=><_yz57wSqZ7q2NQ()Gy)6=0VE%vajSUUqfJGT_u4W<K!vQ@VN}_cyrzj-x&d$zP
zeYvYotVU;(9%p1kr5y<Qi%HT>4^}NTwIL*c&>^hK>oU9teof@aCFsUHe5eNcLNX#q
zEpsA^2?r!+_w%a#bb(JC`<sG={%!ciV0V7>z%FiZ4N<167=%TJ1o>w3=<e0L3UdJI
zAWV56!gT_^>)W81uY-eO6Q$Q=2iis2R|BOIVrB$1EAvKPdCoq5y!#iMuT{<h`91KE
zM(|6I<ptsBjoVyMIFYo$<f5H#&8sA~doufk9QS=^c=$m=TU(pVCIXy4;XgWCGUwxs
z&=sUd1hGXs3(S~-#LncI#!W0uYBxWBwNDRz+L+g_4U`$1emWz62&u#3&Fw95R|an+
z%=@fx*j#`Ridak*2Fb8w@FD8pK4S=i+E3-S?{SJWrBKzYX{Aq|Am+>7Vg*A*i8E|u
zEEX$H<@ezC6^=OC-E7(}y1JQ~LmTCZAek0ih@2=`_e@j5iflx5em80pMx$N;x-&~$
zN{0>&4JuuYYZtfH2)5$@KMUfiz^5ZdCsZvg9zAwz;aQVm5^~fK5XhHFbiy|w4#EFU
z42G|yq+yz{obT$gUXz55d)J<0UXmbh)}UBGV0TemX;|oQs~ChLLV|3?2d8hRjX&C+
z%~$qgfAHXeiktq3fw!>hNgbV5^I`6hdXGm-m6pYljf<I>8P?a2RJwZ$jm3RnkS!5^
zN2gPVJ#L58<Gy|SNCpkvowL1d6b?nx6}RQOd+Fflfq|+?6TWcOj`ug8)A5#z(}=cp
z6_k--k<Y1Zk(+ThOwnPd3xqYlx1P%C`u#?;rM{|Qb}ABbfDjEuSQ|CFQ_(p;KObgl
zbz@@?06vMaDTVA+%nD%zlM5=}9u2(<|6U2XRB2{f{hO0&f#PhYX0Eb~*_D{ciZ9pF
z1%`BywE+>oTr7M;t^cnY)%#HwlB)(t&p0(a^mMNlle^BsDdPXY=!P79&dDhh@ddbc
znOGBq$cBFYY-}_r^q5+ff^0R^JNxtR>Z}1#X2)~vokC3o-+lgkw2%Mgukg96YYS8R
zb#uhDO$}ji{`m1@#LleXDx2x4d$mZPSsM;qMCbvN_jdZ+`w@PWldEF$sa*W`Pn1j-
ze|aH~6(iH}_}+2;HZUfVL;U^uD#Bh=Bm#s47a45=Ak>9w1Ud1tt7~Js$fGR?L8|EK
zHzc6QDcPSqlipl{xoL!^W)8fD?Y=$3@Xf!SOocUo7&UL-`r|-dd^-2Ctn3sL3#N^8
zvSjQHzJ3q1Qn+kHB_ru{j0q!H)>+Zw)L;H~#<qp{@Icxb;5^{j6#qHE-bwkafc9<O
zyNjd6am!K#feTy!f8#~luU?%ujk>9}|Mx$i)!Z%v&-yrUgFKVxA%q+={oIMsV>Qg+
zi<Qr*ua>BpLElEj7(y)ZseN|{$yp;g;XKyPh2UJ_u@v!3Ut$s0AoI%08@IiHlmHx=
z_24vZ!_iOs!&E?XhDh~g)a%sGMDm0qUG3V;(h+=PT=d@74F(1V>(;NwtR)SB&j7Gx
zSETx0Twbrk5cvvef;;Xh55?@lFNx0mCE^F%(J}G3HCiY^h#{0%yk5t5Cht91R#8a_
znJEuY;B==Q#Ar@?mNpxTvk_c<Av065LFzIyB|m-Et8Lio?d^>f4dYSkgK7)p_})4P
z*=@OQYd5S5l&>A&JVf%WuC6wXc{4dV$^JEh?a@OX5Tk!KyH4{(p;zk+ultC831*3|
z8*f@aC+ms_LIeXysF<ZlLs$xlNBoI-R!P6aMw5&{L7x1CtP{AB4IG&~qnFVl){U0-
z=Wih`hcHG4fOlEQC~kW%jO710z%vRtFEKTRu@4gXLJaY~+5@XQ0KZ7lP(9IqRUtDq
zGxM*m7e@U-%zT_XcW&=NH)!ktH_NSN8kkKX8Vo8D=J6x{7hWdudW4g7))I-@4o$wy
z{U@XS#{z3Cz^~qlc-@a5Kg9^B!$w5h1WNT#?vlOKASj)}O2!Q{OwvL)`QEz`H|TzV
zZVQqQ7$z0ajw}bDeC!J}-It0&Heh-lP!^r($YWl1MBJdABJR=jjDJma-X113xXpLq
zZGMwy!C<gxR(nLOs89qopSP0Sy_DxjKzXZ0EXzI*@1a#@gW7UWmSZjlx`h?6x0Jaf
zgfT#XLxvQvM?u}L4L8vk_qToI;8fItCXVT(`mR{W_2bb8$iNnM-#~0>M0hy)4vejS
z%oa?ls*)ozIRc#5qA4aT27ml`kJJH^jK^Vw0csFg0^<xv37!}$M&cpQxbz;hoV2uD
z^;hf8ZcuhzZ26uZZ~$Y)N4n)#p^|+Cv3Tk<un(_^0DOu*M^TbVA|}XMztOb{D1C}D
zp;Az{UJ`B@5_x1$jVvd2hf@IpjJ17zW@%USkmrC8(}AS6M*O?Am@?$&aG>F%^PvKe
zv8^Zni?b?_xOG`S<OgJ+T%lIpqd#;<<KWl5F%3~!LR&(#(fMvbV-z(IdHe32>+13~
zlBC5Eeu3Z5RK4)<D{MZDXkB)pEH2mwyw~v_umP)&!YA)&rslMRP0HmqR>=O9-9A~*
zNa&Ltuu-weD^PINfs@f4NIyU>WO8}Y6>pgU>HjWquMofq!Mg-m*E^oGKXXk(b!ngX
zznDJ8zK7;AL=@Bd161okU0%1hhZCm$-~r7(8IK3K!dMzf_a!kkN7is!*ZB!ExN|N?
zGV!Jek`P6^B&lRj@obapnN!HU)`hZZ1GO9xi6qLy`}ZpFBN832twyNzVf>G{fJV<8
zm~bH*^>gM<-l4AV6ye6)E+)F56yFW7h-4V&{3FF^9X~KR{dWX1vQ%{az(6wgXDjA#
ziS$d<TNDDk`M@#c-K*>Kg5;GNZP~jTeDog0ZU@xnK?v{Nd8kwo7#%>)?JdA+mt#t$
z{sl!&S{N}Ov#oBPNYR;BZgRAq_!9;B@CgEqNJ=Y$K8C3rfOwC)NY1c+0;4L={P~XG
zomLz4w$aPhaV|?!#!-OwHC--(erAn!N`FxIHX4HnqM2Ua-iRg`hSaS;?a%>rE=7YY
z(wjRiuO|V&G4eQ=%!&{m4Q-Vic#Px~;rSI>UPfhOl5$B`QVgU-He~+fyw7%O>U3E1
z<n0BJPtRFdDY&?ZAhb$|T3o+Lo}uuwOZ^&QZ~SR^cpm)_S!X?PFkmagc^qjNeBTWV
zpze@NAGT(klq)x~4&%`-Qu5pp#W2Wf>uh-cX({zwE-K%qqXl2Y8m9_X^8qo(a1>B}
zUt_Cxbt4yrAqiz-&9!mh8D<e#8$Qs=g9`Ie7pbb%rQGs~bAfbRh%$6OJ{<&y-p23{
zo&McGBwAY2?euB~Z}L7|yEoLmg*R91D-4$x-#Dqq0C-@BCqT14jBn%9&#s07A)?{g
z`CkwgiT74-v4;K#8aFot@9aV%4nt)mV*p>iB%lQni665Jm3+GSI=n=gz)NA;vTKx3
zTCnZX(CX2L4}KO|`5svgidBqY7hYnLcj?MM=xCnv6Pl21#qPcP(OY_G`(AN{5iiO&
zay7PW6eL=Q9atiu2kj1_uz<Ig?yXKRs_^id;w6NXDU%8c3P`j$%#fNRnO&Otlqofe
z0#dCHK<9r83z?PI;u*n3z#v2#s2a2q@_rEHKgRnraKPWZf6v?KLSg5q1xX6A+T^-|
z-ZeS|l}LJ$bj4f)q2r}YE35zhpgHB9hspsNCYVKdUB4XVpXW5wTdW^P5;qxkg@e;Q
zyKSn@&W8aNk+A;ylcXfD+M7XQ9DG|~Vq@R?Q_wK%5T>QcREsq%vY>=!(X+1u!!D>{
zoM9@6&~LPWq=UHxQAA6LueISO3M*35sbNQ#;7qWfyr6CCA-L(#_}AP5Ie((5ov))V
z^|!*-$A8z~Zx9B4;wveY5=?a`OM;z`p3X85?*+l>Gm4&22}S(F1;gcd)e(puH^$8{
zf(Xl&nC7lxcVjTbj$+?1qCmCNujR3n7Zf^{YX|U3nYbhNjQ@K}64I2Yc3C)z2y_{m
z{jmqP$ulZZN?Wi(rUm1S8rZ%}B33HTte1p}5ST<XDpvOTGtcHK)M)Uo_H3RP5Equ7
z+Qr7jvX@`qYPp|7WDi_LK=Szg>YqSYNTM1!7eoultg7n=7=<uo9YU{R5KZvxs{q{;
zo!^V+D0%h5ui>o<pdC$fEN6J>$!<Wh2u>jAX9fm;Fs1$g1?F*00!ni&EGA5_`$QKE
zBeH{eL}4*8E0RB64WZy1JnEG61Miza>2|(+nd9)JsE~O%T3U6{xteUusYFLdD<~==
zJE4V!D=K>pVHsR!na30-$*b|@>ft?6s0u)T=&o51Mfbifs6Y$^Ya5=Bpn+ey2JZLF
zx?!^Ib39bXnZ+4fIFdNm-Pv|U>{O&UqX?&DWGG@t#X#@~vRf!aNN8B$ttm|6Q>)<^
zNWjcr3mWv;mom}S)m79*L`>IZ4^hJPmPa+}k{?GjJT6HMewz{6EhK(Rz>;O`V55d9
zb9RjNLCYm?+W^#=nwzV`01A)^89M*<>lfAb?TUgixQocq`a@`nIOEf3Sf!Q`O2#aw
z$f8PIN>D0hM3jo(yfOiRZW3>9AutQW<7#+`1D+9vuZ9p+f*g&EY>d*>31W&tx<;1x
z@p+97C?N7CCd@!<C|^e&R|`_D0|c_fkt8pfKyuxAsCElxr0ydK4zpGxNrnk}0!D>Z
zQ6(^!6F2ugvfheC+ARRHZzS>z32*V_izQS)e9jP@GXg~)wCe1W^-@9W#gN5%qA7}q
z&;iFHnERyZwmOmsUth0BxVX~zC<G2b?o<dQ7(l;h6{ro17yCKknD;}d7rBS1z<p@I
z;-G{P(OSUxDWTWoEiO_vxZ^`-@~ScPvujsGp~&Q0OJQJPj7v@<YbfIOL+AdtqL(j^
z;xTf=q=Mr7#GyxotQ0<s97)X2K*1v~WHNqwL0(5kCpv`-85?WF>|t}<!Cb<~<Iu5r
zKLn1DeFPbp!fXK2+ApsD*@w(9DXr*7yCHHSMFh}lWZVK@8~o}kY6YIdYHsOC1B2bg
zhQUzw5PfKBZ%E)C05T)|Nbw%Myt?`}OoOXM@&_gt3gKIa;ZR5No`Q9zd|%{bhVDV~
zb|;u-SX7_$W1=AFnCQeJ9R_CPSO0vY;X#SZs2W_1I$STwjbT>8219~~z@R$3MQ(=p
zlK^`>Vq#*AC$nQ>cB@D8b0GFX-fJLvcJ}4zalqPlFtTAEQ{Ra8XAn8r#b&~?+h2s6
zC5#<Xsubzr=t`MU1z12M*n1#nxJEzRB9Y{fw{j^XlO`mBghUxaU~q(Rs@O1I7(0<V
zG&=eg);bX<077tJYCSjcZlhl(ds0PHo{se%=RryYn5}Yh#K6l?BXl5gJBc5F3Xh02
z8Jk05UEu&7QPmOoOg&RX-mZmkBX%0*BtY0MbY{~6HK|^`8LgH<R0`;_Q#jkuFcsj0
zTw9pr(9+T(R#M-oH$6RZ02t(DGdP(Gzn>4Zo7E!NOj55rS_ydV3EuWH;dbl9nmx{o
z2ws#h_v^E=nl4?h4dZ(aetFKD>5{dl&hc937{&-{8mds?ljFqqh2ot!@JRp$cHu7&
zKtGabmSN}Tr^c8iq2r(s;6&ubEhzI@FNL9s69NYCedokM_LvOL_V!IPC#ddZKGJ6o
z+@eg&>~F~be?#0TA9l!0lq-tkLy6Lku>z$7bm!m&qu`+bQzQ9F!ZO3dHK;9QM$3<#
zI4hWFQ$-lFJ+THeB_wH%=1<-&m#LMghU-E9wZ!L+=V_u~Gx8hWC@d5Lqp?PeWh^=f
z00ty88P9U?&mR($!0R;@Te`PJAnsybmDFY5O-Dz6JNhQA+O|WH#^vmqXYyI=17l5$
zQw#rlJ)Fq>LX2dPi7f01xOw1XS&$7OMQ_F25gs{SD=-3Ph8GKR0_^rz97R}A?fFYp
zNN6MxjCU?TvC1BA-?DCK-NsW7jVU-4rrKy&?>y2+IFwW;pqv!Uo{fDN1f<69Z34T1
zV(mLCcqt??krky7Di~}vXIIx@e9^c)N$7#XbjVsQEi5>bK4w;~fU1VbRVoqj0YEVp
zL*`PBM+qP;xfN*t26F#^K1lBVj+aWv{7c4ONgU$;zVzX~_|l(5G79i+dGXb?*{#JP
zf}Gn9(R<!`^dR?R$P2t|a<)jo@fJocKwIMW{nrCg)!^7a0!_jcIjf0@3HA2v$c~fu
zl@Sn#`hyr0Zj8*DA-*sef0<$HM&xORQ3qc6tn3X`*yevCr1lfFzma@v`<?U+wQVW9
zdZ&$60S<sS+u_!@MU=t#eE|{+`U1h03XdF^RSR<!ycj;fTa1c|4$uDKL{Y{YWT0Ou
z;`2Mazau+h{@WL4Hw(Iv12hNFWAYj}xL^>3StOlrki`sBi50QlifX0)T>3T87n!?9
z_B<8P4AUL_2C8lYiMl*g>#!N$)!PaBsZ!EMjmyXJJ(_tgr}UWq%UO2MHJ;Slk{Bw}
zzya+@yp0`ggAPRIS@0qO_$BwLdF)M1SxlZe3_>`-I^r4O&4y`MCV0K*B1Gj76QjpK
z-|6F4J$yPj`{?<0n1>vqqG8B%d08fl0(w_JhaRm9ZIz5X{x4n$FADGwK$du!PwhHH
z@*W9Ltpke1&C(+JdYnO>)HL9?|HUfNq~W}zpq2)+Na^NR*IS8@C=W!4uIAf%dV1ur
zfrt(R5#X&ycqIdz4CwR^A|r2u4q`q7R|}ElKQTG+(uyn+3=B&cwkr;-=jH3X>2l=t
z4=1?`8S9p1Uylmj_Rds|$OOfgHH#@h+kzU(4S}4Df+JN$t$rW59y0QbMFye8Cp$Pg
z7MGTi2`1S01W(M&oIHT&051(gu~N1vo0?R1<Od<udz&S8D>&`rJk=1^Xoah@u(eeN
zMd@_?)X{;#dK#!A=tZwFr_k~73QS#ovvPXKTu83LIQZ1la}ICcWTyfEN8DBw`X>OD
z4eE=z(Jbb}Zsg<~M36&gZ2)=-mS-b&0vxhvoFq$p54_UO%>t0rfu!tUj}xL8@q}fK
zyeI1K(yT#$<+UIS^X+^eDH~G<3Rr37Czr*&rmK7F?tn0*U-t+K3_LgYs|N#Q9VNEf
zAS;Q3lm;{#F!l8s(M_lVa8Ps+bjB)UX6IDQC|ZLOcLWDr;OlBC>(aW%?ppIsg91<V
z;peyg+)T48<wLLlC=%8Q?kxI1!1L!4SSJW^2wB5{7s0+p#8Vq{H|Ql8G}|dpgBKRO
zdHwn(Ccshw4iPlP#RE6MtD;1WU5v8!M2*JuSu`p^Znr1)5$Ty;3x{vsyh-#;7+|yV
zhY+rYb%4D~UUq_?Y&kVIIIm<(RS$+i6T^G!iLNZ~DaKk~lcRK&gQMP)p0~mZcDS<G
z=AQpprGWSG0mlP)lUE<%B~l8Rj3w}MK$vgi29PtwY!BXDc@VE$fryIkhr}*<I?BqM
z<8+T_>$5d<Z-}V!r@+)!_gMU0ny(qX*uDoblZ1Bo7Pz)z4bB}$lp0bNL*3@S82~R#
zb(<STT~Gw8q2+W&4?lG`M9>l%(JaeH%;BL|pk(ShE_lq2Gk{cBqK1r1{zSwK*+il<
z<Ds0?)((Y{V(I939|#GVB@)u!vnL=UBSTtT`uXMffhbZb&^yngGVA0EcV65PuA%WK
zS>|iM5w9Lo|1l!YAxb}W$p1H7Vj^r2zYm(i{huD!u3s0$TSLL50IBfq6kW66=SWF>
zxjuQr>Hu&2?CsQ#MmzT~`TdyN@^qJ_-JH4}-Z%*V3jtfQc3xgyczc2k!2S629wWR(
zsx#{*4rt2%Vd=U9v2NRTB@(hSQYtG6DYJ~SiB$F|Q6ejpl8lIwEwX1Jdqq@aWt5CW
zMrn{eDn&@vcU<rDJ^#G#(-Zf7|L$v?=dn(B4?x+#Uy2wiIu8$z|J5=3NLfX)!_ey~
zlnt~YZ3$&ndO<-OjznpsNRk*WB;cSh)kESZF<zp=m?^btsUctR_`)YA>c$o>iHQw&
z<0aNk2Kc={lWKaRVS4RReyF5<Z~mfY@hp;30Xrd7_8?I->HPyFiMy$;yE_^sA2Ggb
z@#BFq0JQsB<$da$_CclF^MV=TLcJH9dE^c=9NkSyA@s33tu3KT|GDolRK$dwC>DB;
zx(7zKbGEh`0LlZx!caiuuutOGKC%z|in<YwaP+P$+9tkt8FrKAfkcx6MH)r90yShD
zQ2g^3FRB3s&O!JR{Ge~%o84dI$H^&i>2us+Mc={LpSicssZnn*{ji0ShG+9kqe6T$
z^jy_JLm{ZN;e7{!Nb-e3hv?8NkdvLrX!DJkw5ztF^Mn*%0}N4akz<Ctb{4CRb#aFP
z%dg3!ay6m1Z&LtN9K^K*3MDNo%O4&!Xz<cN@8Gah9y)yu&)x#31PXuMR3%DmF-T1C
zMc^n`$4??a;On87acBfcR}WdkNsuG!jp0>-%9v=uNFVj<n=<ezqykU^am~akBK8aD
zjdQ)l*Ia-E*nUl;JkVdM+VMDDQ?&iN$B`G5iq!$vuD$G!1m5wk((UTpYh1wCO;;c*
zgTz`3{EXzPEUvZV$)63LUxp>Z0^mK1pguL~XfTZaow<AxQ|n({G+`K@UEi_t#CY2d
zy=NyKNTv#!Sgb$Lg~W{P!gKCo>P~ZJIK*)Tkq8J-{Jc2r&aOQ{hdr6g<o!$qvS3&i
zJb-az{2YVk!Hw7!a8poIQ<HcTT+DP(=s$h>3Xx)He%~V+mt<R5JIquIWjKNqfE0^9
z;o9996BdpTdLxrPG^|GZ4;Qw7Ta^a#SM>BK*=!aK)Fj>u;R7Wryj$q$A)6E>jS{vW
zAaRt8bh~7t!v9*bB;U0x+_;?F#nKQvf1dBez`*KFyV;*$WC&dWJhHuG)CG1t2+iB@
zhms;;()K;VkT8(u1VssAK;U{xHM;}?90D~K)Sl;&_V6)gqNWyAMb6nQ`k>C}fmp}z
z_~WNUZr_`JS;09zsrc8rfqg-{=K6j%5#w91Y)MPU1Hi*Bszc57B>C`tHV+PnzMviN
zqJ52H>G_o@spk0_<&ONV;$765m#a4xwj0+tCd;S|q3Qs(68E3`&;QaJ>Ri1E)C(kP
z3PPIh@f3;P0kAQsib(bbfKt%tSz$vv0La6%hnr(ee%kEBJ)j)T2H6V7N;p;h6(6oS
z_;eQia;MnyLx0nma=PD*N8*B6IsfwPvqeBN6qCNF`bM%py#(S(3|#<K^o3kWSTm3%
z?V|nq4sliMtG?F$h@|6?i$h6Ek$dSYm@JY~M!d^ETz4=ry(AG2V5jhqd&j-deW2=n
zi6aw)Q#}p=nB6RX8P(V;GX8~R7DpNdwy^x2*Wae$cUstW<oV?h!Jv5xae0Mx8{PAS
zFZ@%>m3Cc_7`!+Ap~5P-F9^)ATTkKH;K<1LM$IXi#O8^%owV90b7-?!7PyuDQw4OW
zQdOs&su<##ScCr7Ip)T=o}0@xz#R)Li361KI()P)fw!~Afn%b&2BBH(I&BuZWgCpI
zBr6i(6v3c7pzct|an;rH61_7}ASys;={ggcNi$#alRz42B_2IH64a!bN)ZrxYj5wW
z_lBq<O4iB84olaMdaok$h)^>G*1!QgI^Jb~pl#e_uTWPJZtkIA792MrX)ZP2_gz~j
z<1TP!VGp-z^S>IgGsFi8qzrXvbFt(gGF#G#5Yx0=cc}I0fu(I!Q2oHc?Q+`n*fDC{
zPZ?-zkTfByE_QPoN7T%xTkEwSGD`foU#_$%eA}j?WbVbHr(%@Bsh2vV{olTY-;4bg
zE)T?x`b9?Sg^BsNxVWH2rUwNiXfK)TOoNhA`Qu~dc@~*<5!<$3SGZ(we-FCW`}dVl
zevuGppmWl?<LgiszJe-_T(-b!wttx&@eGFQ1IzF4-@n-{^+0Lwp)`ameMwpH+B)oV
z-op}fs#Db_Lf2@dZ&Xv6A2N`ONLk<9b2Bg~>^#uob#ln*1~woD0)+Ef(RM_R0YSfj
z=ZNAH$cOPWFNzNaZPiMf1dnTXtD!yuezAL_;yJ(}P&OTex|g%+42ls#GT`?dM(Cv4
zg6GFWdW;*PTxr5d(M|IOI}q}_^?1D{ZdRFF;7Tsfw{ozA%32q^Tffm;x7@tUMStr2
zd&hHTaeI!(A`hFImX>52OgbNwPDO7*76>F6%m@%yN<H_c#7bbx3C4uE))b{p=ghWQ
zJxQrtw%<*8_}X}QMVrZWR+)9UVF>&S&=WoL_Aik=HHRI%aJN4}xNDgbvM9u#I(}(J
zUB9N|M_<jG;YdDl*|mp`Q~3wz{}{$Ey$D;D5qW54&(c>xEbLI$4*=M}N$5P1UWkMm
zBrXi&#}Q(Bb*5|I9lOw%a{jbFshgWC3d*l8N#TYfNgKppiN(m-BETF-icPqGK3Cs7
zlkR~&6&YDD>P3P>!r!1r!{df(8kLbUiY^>_YvC^O>j*IS$)7<W;o6(ejSPZ*Z^tOE
z?bv+L{JEZkkgtpM^&cOV(KfM*m=c1&e6m*i@i|4{APtZpP(zwI_VY_XP&Ac4=hJ%T
zU>&ImO`BuX$cr67Wi`3oqdXP-3Xv3;o|AB>MjXu*Y<9Fhs<=a;aJ2+l25u<~rK`O@
z&u9$^#Ff4NQ^n-T$7ffRyw$bq@-_)h6|b<1-r*k=urDLtDoE6?z)(aYKH(>K7LLUi
z0DY+4!aKk>5rUL9;lYLUWeK;7_d!)Q2;7#$&sJp)M`2}mLO6`ex=<(LZ>g9rZe@ZA
z5Fqu>RPQ~=U<km4Ly$xf9C82CRIJr6jui6o;X6$goFDA8r@q&VKfZp8|Lp488Xt4i
ziHcuu+GFu5r13|*7u2V%(U+j<s6)&@^o_r<1mr${)|UF2R2D4Hs~JQ2BKP~pXXFGY
ziBUvS+5M#nmnSaMS%8<J?&tjd{duD`p|TjnflZDXNF|}$CcbPOYKW2w0+c;!%zt80
zB&q`WP4t{{0iRR(ZR`h(3<dOmU-N!eZ99c-Ab9GK<K_A9CV0M)>4P`Dvj9PP{`(UM
zg+waj#_Ycizigg9&I|gWU@)<am$-)dqWAX>{6FxjG9)#m#U6JYH4P11oV#Fi#Q6ry
z;{u8t;w;07KZBLG`{`-<+RV1Z2$pAlzS}+3O$0YC<=o%1dNP`7BPCVt{^W9<x9>?D
zEI>L=xf_g5r%v5z-ck~l+7hyXlF3B&@@SFF34pInE^fqr1leE%HelD5XX5qU-K^M2
z_wV0F)LGr@*Z$xp#Bm{j0{{YXy)Y_rnj}T@^z`^RZ@;77WR-i`yf~u2dcj$e$##mk
z@<IO0TK*6Kk_E%zH}Kk~6`qtCH(lPfsJ3YYvIWh!kkbO6HVt*z_UI=~K`3mPw{LI8
zQhZV=Rp68f5d)+m#Po>|F9uW^^8VNOOL5XyFBV$;Gb;xty1S~9G1umUkenpt(Iqe0
zei}Aq(@Ke~_LLELz#z7j`cj?wQ4!5FZcArGJL7A={am~Fy9YOUNGhr-k8$SXQ;uV|
z{Cq_LhVCxxmuPpJXZlKcT5#<j%gEjS2$eKZwPVMLp<IG3c~)NZz9+lp7u2sB8Yg>}
zRU#NE+A6YYIzAfm7zmDlmju&z@RaXaNN9o}7dl|}T%n`W<i*Jnr8K{iD2jITY{5Bu
z-I|kIQLf*~%Ce5}<8b=?+y~*isGYzAaH3oSgXoV&5QNAWD)#c9CQC;mkpK>^Njs{C
zD_c&O@vFRFOjS+WGKGLeXv4dW?Ck82qQu#n>^uPyhGZtfD$do@VbEwW!kl_-&$6c{
z*ocht^_<VUJGl!Av<=%{9FdblOa(9G!GNiUK-EAXLhea`gd@1m;$!?5nVw&n<qu-E
zs%aZslg-h+ae2L6*)5))ey_sx;1Wxdl&Tv(PoG{-5jeh%9GKYfeEbc0!tcs6wDz#j
zl)LYIOB-8(dLO;YFdj_2+1_YPqQ!ugi0piV!jt?pNS%qR9;vC`AC&5BafI&J&l~w?
z>|MXx4Gx;vrgvWoh0ih_GBN^IJbUQ}36Ms5Wu@2bcB_e?a@o=i#%!v(wU}VSj+BhV
zy-Ts^DB$vb<6P~NE13-R2m6-*rZ{%<zSIy#0O#<Ucu}uwY8U!%n!v(cakh-%HWzbB
zk}Ut0Q(Ejii-j>GeBmV8s-U-b{djCFK6czuY77VpAvwz1S(Cdr0tJZD%&2g7cL!K|
z8Tv!yuK@@oln^m5&P^H|^;&L%NZk8FT&4t2`K(;Q!Z$Cv#Md!#yZ}!h6{AYMg|_8A
z-3jbA1M?FtJSMM~Y?V^i)(YMBSfh&-6%)e+BL04gDBMLHn0D+qj;8t}q(T67P`!w?
zkFG5s1z+ERE}?KI)vI_XXUbrvU2J#D%3LbuHeFRp=-w4UEiBQ((#oQ|wc+k7TxMev
z(}=7UX<39TQIZg%fhwTW_44C#Rr?6^cV+O78m0Z()bmQuz`C?!J<a#IZn-ITpXcGl
z_WCQNrW0v4kZ|t8h1)PDJI8Cy_N%f92nR7UF-45c?k`|DuJ&loOA?buU}{ukMCnRJ
z;-cE+*B+s{bK}3qZ+SL%$y)(Dj|J~mmNa3hBL7(ZoVNzzId%t_dBr4rx_$|NGPT--
zyvk^v@GrvwA%FA2oz0r#VlpD*WiNq80%fR!>|&Swj~{Gt*&C7nHDheYuZ3IY71p`N
zoA2^B4F}0RaB}wBKsRGoy|Q-L&49GV=N%nWCOnT%t@MF_MynQ#R7`|Ww?>Yw838gd
zbmJ*WaJr&%dF)!xo}F|jbOc%4`o3{F{0wrL)3F-~O$$ij=6f|}yU0sR8?3dz-nPp8
zOsUOF98Di^W-{zJ6wAS#dY;;(?NG)Bk=@!qvi68gX#Fv2JL%x?!}NvOdxAINg6pP`
zDVo>k)w6Vls`pU5mKsp|ivA-7Ru@jUeZ=~(Pcr>|>i1az7bvO?^bd+h(HK0wQAySI
zeQmo?)(Q9b$^|*JZW5#N0vFUo#!9~yt#jxrMK0yx_LLQKC5OP)?`H*BweuyKbW7eg
z=?XFhuBI-=7+vuCeU_ERPpu$ULNQg_@^C-Nc)=A5F8Jon6*_zV)$#1HGltW;{fwGM
zO){0re;M+fa$i>Ol4WSRRGl$*z)&z6*jNWt5(p}q`TlWjk3^pyrJ{jD9T)BKMe`xx
zq+HZ)hBc>-c+Xxw#Tv0NyQQ;VujczoF0d4Ek~P6vlhbwWh7dXo7whD%`xf%toq9uM
zEr0Mlhcide;po9Ejh>)PDC*Plva;;1rLZ^L0VItArS&@Rw~%8?)!z5^9y@Wu3Wz&_
zi*O5AI6A&XyVq4^?k&}2q7z@$V)XX%T9Vp`OG7c!w(*IPMNjc}z3R-d>a+X*tu1km
zMJN3?^2ke^1iYaaBs3^s7h)47B?o-34AXtkYu~&nOv~2nS?%ZP8<}YE`;v*(dNmB|
z$cjx@o8X9$+6()@u{T~%{y1q1GFhZ|*_)aH{fcv}i~_uiBZU`i9`-)8nVR4sy2=*3
zq`tSrC^ECh|E3h%$9XnOQ>(T4%dYg(vct}cMk}3H5jwD;qr;oSX2#|eYvY~t1%~{3
z2(<bw9o5y;2FJ&<&BoAT0p_Q{ncViodMs+%!mmIl{cf}M?wFS?;rz<!C$&FIO}(t!
zpr~zOYa4I1?pY>DDuhnz4f7sG|IvsSVqFi?8iT=ODI;?tg>GVUG6;BQUsd#fMtqWS
z52}o$^^y4#uw>ka<`Wms>~Q&-B+k=dpH!whmcK+Y_T_H9l;Ljj`cacEH%}a@!Lg5?
z6sSxHiZ75>r#~zI?9N}_)t13HBWHJjkFhP?qQbT-!8ljm;&11ms)kC|0vH1Tdjyt0
z*o%-m-4})@8qTku@Xpp(@bT3y3KdKdp;bv;WjSCN0_f4@c>3qT(b2nsZ_FJZhj_7n
z<QCkhD3XqpJU6L+0EK9i%p0}f3V7^3X9pctC@KfiP@(Ze<%`gz`~Q0p4Dh%UFc30?
zM9%0$^T@w%7`?AuGnng{nLL|W_Dn)dv@LNlQ=5x^O$+@gK2nRgav;tKcp~kN6Kf;!
zNI<v&RpVpGi$Dk}q5SQd`c~718w9{<D07CUkB5wWU8$k;(P>HA>}wuADL(5#UVjE&
z)SW09OYSt}k$^XDe%zj$5>n1BO1~_3P)b4ts&^7}a9T}~k&vpu=%M|%i=F{>2|FRT
zQTTm?u@;Ta1ti;nBqb;%j6TjQpVxT6{p`Xdf{{6yo9vCVpDr(1j$Yxn_4M@DjS0dn
z2q>KROiot=Tn3?AWVeHtdf>O9D+SGl=SQ+2EyS!Ml4)kzLY*sYhxK1*R@F>^5r~IK
zdx-^&N_}v6n6w;m^4>=QlC0W}?N9(XtV89cAH8o;7U1p&s^}N;dCDr6`0A{8(`})H
z8wWTFZ*R#y78-2WyC4<RUhxmi^YmUA9QAz~CIUYcp(BAInldZ`tHX5*QwA>?qyZlA
zJn?M1{|Pu>f4A7Gg^d(xP|uMH1BHs))AF@m^8S2<S&vpP&DTHLc(_zovbV%}PAGa{
z-dBloKb#mXkySMMZ-ham8Yi%?yBC{l@u~b}`xaGa9@HKnDQ7@;o3?D*wJQutM2MVl
z9T4>cNe#soutD-W@IF0uivtL#0L5fyHP=7<LVFV2%FwG2#o-nDw7TlmgZvw0=yc~?
z+k(aq!e>{U$}JWjf>zzs=^XwK2tXoWfpz4xj7;tc`9r~tEgk?(@No_vJU9R?6RzGd
z&9?wD^JpEhV|0*if|#);ya8gn1uw(T#kCI97bdwV0y8qG+Uc!}B+5`Ze%-Q%o*Jes
zU5<q%36_4QR3Zxp#dPO%ySuwb;6^Bq`GMYQ@@O^xEB;)i(wqbr8V&Xb42(O&VpM!l
zXQHA<AON?K7@@6E2!JX90SC66#5}=P*MRSgV9#i0p(;%QmI3Z(LGR2-ua!BYRvMOD
z?5@?T3JLkS^Zn<!#vk=xS{5?<td^FcisK9he3V+cLn2}vS0H2o#sE-l+xGGLy$c~#
z{0WTgTYiefZQB8A0_5&?SKlUT_$wjhfXieUB{eYLPKakP6ru^5!*L8d(aeB%c`Nd5
zP9Y`@={LGXf$}@R_mn!mr}~|@WbQAy+1Ku^%Z?nA*v<E1!x@8*@hKt14$+!m&?ALD
z0y=6Xt<9Gs$24@KL!0-}P(J_svi4m#S~z_0!w8cvWc^3<o#NS;q(L%@NTLsPnb5FM
zf>nX>{X>O|5RMeezasNp(@HrM<NY=A7RA&*la{>;&gR^*_czE2tr5E{ro!$2DGQ6A
z#N}d#Vk(y`#NjbQ3!}IeHq+2pK&V2*wDdpvd>*{W^*eQvdYO9q0XYQGbCM1ROyJ~G
zZE0@kTX3$BQU^1;Nc0$ql*h+d&As&tcrOuBK&RLU#b7{yTu|>n29ntv6f2OL+rhG+
zI@8v&ba^^I_olI-T>1Jd9rz?jE1M@SV1$R<d-CLJ*odb6jzb8Y1eg>Y`JU6jzQjNF
z>h<trLH<i)2PGv(NC>F3GpTYh6X*T~p{HEbxPHm35h9rawoXK@B%20cnVnH1fFL4h
z!<vN+Q7L+2J`y(HQ=g<9^r!B&v(wD&WjI{*W9sA{j&D;mDNZ(>&qdJ{6Imvq5rDaI
zwy?6YHeyqfv}ZUs$n*{y`>EO=dhxMg&D0qiex|7L36QuYbP1%RCYh1IRuJ8XZ)@<!
zk2X{UD8~-rS6)Cog@j$#vE)Cq2xA5TQuy>3h5X$1LpR=WMTzR<x(J4TICi*7)yk(u
zaJ{g|_FZQ)&!s96IvfoQiCOyJCq9%8z!3xqV6gv<?V9c{qG5M;KWi2BX0wPZw^&pJ
zuNr9~;UlVtBFWjRaTV|@x>^gIUL^MlfjZe9R#|1cfZ<u;I7IHUHg-4$OH>Ch&VLbb
zK{c;@h6kdVyW_7!yC-<wZK?=ew=@~wFC5EVafMFfnm`}(W-u$<kd9$KTsY!mTTPxg
zvv@c|7))~ht9{l(yGcMC0I=Gn#-b_<?YaNNF8YU`3UJ~~y&S<K=P@6Goxl~XDZ0{<
ze-pILrIt7}l1b7hvC}N<?OPydhev63RDBEq7`Ubv=X%Z8cfT>Z|K+HMJR>Rtu7h0b
z^mvu|Viy!WLj;Yh9PJI3FJ7ef)m-#g*apE9NtZ#)7A#4)*4Yl2+~*aqg!II_HPPQ#
zI8!B%8Dh~V01jy4;&V>6o^rZ)s`z-2x~J`KHJLuV2j@TII@n>4i;Ia9%@4D1Jg%^9
z^w}wU{TCwL;ZRZm0!EaT(u-5i<-t6I=4b*Ny{_AHi6fG)6C%$MY$=v~r&&6FMCR6?
zz4S=%(W9}r{4?E@UMkn7HmU}(jbQho*JRGn4J;1ajC!OeJF>MO+_z=V_mAjRbdgg9
z7YLaKsp-f0<I!Q2UizF3lai{bw`8*z{r{#TDb~y%q6-qBkt8Xk9<%}tB#zik74Gg}
z;2B~5zjW!lQ7=SBNWO2y0Z!O!>;0?w_DKLV!F8|*+iafRmDeL=BFNXERFh-!y0h^$
zS9v9ap0aXXeI1#a2lE6$oxswSz+8LDI-bV278`=-F|pP6;3@{&j$sm~){Bed+pw0m
z9bDOZxg0Y$S&=6Pq-GOvTE5e#u}uZluMB~#ZjB$>cni*MNZBwG%-d=au^i7|ytoRC
zhM1IouKYXFdMM)8&W$?(?2&kMqOrn7b0ul$PTdDO#nfAU`^8+V?o#qpyRupE2$-ZD
z#y4Te+ObR<7$c>*QR{@3N#*7Btb&$bRFNuq70@7#6Iz)H>dvAsJ8W%R@R780j&|9`
zyS++KT3@ugHdvPBpt!Ppa;s!u_4=S;K4JlZYPvi0mUw-8`@N4>M~NZrzXZDn`H1Hx
zdMKDEQgIl<jj8=bi-SO+1TO|~V7ZvIdy67twqe0`_&`7_NBrKpmzjh8UWvl_gF@6N
zWUM`}>dK{UVrTR`OSo~kEX})Zw+1%`l)5nPV-4ATC=4g7o&E;W6Xctg(Uh-ivNDg(
z!(G%+SGNHoIF&suJQ6?eyX_QLTxV{i!tgdV_?E%9IxJ~#$xIa^2Gv}aPYB7Vyv%KA
zXtGHQCQ}k+fl&OwW9kgwXk#D4FO1<ngnR_JN2o*s3SgV9CpSF$_)7QamcO-Y0yxAj
zf?y}7nqM&cY-b~7>J1J9Plxtmj@O<0hJOu;RJs%KQs3$OPI3&k_UdSd{-+*|o~o*>
zyqqNN|0{sH!D4gJfqZ9Bjk(II3S7QEqRkh-Jo%}`2+sWHz5wdRz6ut+rn!ml9*jj{
zI&W!HyNt<D?sLNQli4hhcn>9js^9hKSdDrqLKB^>pToRU<{B4>H<W)Rh{J&Cg{0g3
zCpx6kdoNrmC(lLjX&m8~zEnixta<Fc=4BvMIDUCtROUi^EZ41tGYt#}Qui`luswfL
zL7~=&CRD{}x1U7(46ESdbE}?Z1`^`nQb~v;l$HvQ(u04g7GFS+AT%ujA<z>_vZi`@
z7%Y~w_OuPF+_=G1*{=h40E&VdvCjbw77bW#CHiWioEjkLB~JVAhQQ%|#&Hb;0Yz@3
z?#vZh=zh_<l2Nj-ZxINUFy|O-g(PHvKZC$0uT4hz=?v^1MS*8nXc`E096kpwri~DI
zTzs2y!t%y*!J+QzisrQkJ=C%yG<6%8+^W^6e<|@r+|tzmC7c5^23Mb&y1M^=(jB*d
z-=%*#7DChm<v=4qp!W{*i8#NBxB%=9gz7jfiG&Nh#6Gi1l4XVvKPYH#pf1B#gddDL
zEkjK&ssAI1hRvYyRnsFzrVS6|d9L5Q8=e%vMU7jD@PyEabW_saMy{)?>)6jK4?cdr
zhgn7K1B$naP?w6TfBqaD$_}h7kVu;l^|x=wj_qA}{>jNZ(PzT&2yF*p4e{uda`Zcq
zQ}u6Q`X0IzXgk0~`;qW=<m`L@oAYudYBoZ=BC~k1D@PgB6%deDK#PmrxT8kw6eDy6
z+4EJ>XoTq*HauVmI9g4qsGu!?z}bg@_KANSUj({YL>-O%c;PCyID2Xx!0cB*iL%eW
zm_HOFh*_VIo+L^+y=w1e$F??jA!U%KpNjVZZBNeFFWj;>Fci}wkWEujJG%ODL3YWX
zZQJuc@9Q|vIC!t=2c?qAK{(eSB7?-^7<sZLC6C<cJ>1=AYCpygJmiAz&8D|-XU)p|
znF^N}z+WUChe+zAq}a|LIdb}$T}Dd%I#>g7ND@*2a3kqjK_?inZ`dhe!w3wsJv#4K
z4H-Iw@xN*CM<L5*L%Au*|3mjCGd`IrY_v5fR>y^*qeIVN;U3-Hbq5-LiU>q*MPx8|
z-2cKEQ!uLyvCAYG+x^F}lbUr%K)|Iz>P3UJwtmFST7#hgcZZN2ABT@6U3q%`sBf@M
zl<>+}Jw%j^zJbEK`>v4P?Q`ZkY1lXE(JDO3<=8&YQE67cmw{;f1Xze^MbNwLJUTmU
z7^1UXq-FnF;}LAklWG?&2o;>zm&r8<ei43$JQ`mJiqTObryH`}J#(DEO<#e-!YctD
zK7|bl{fh2A2*YK7R{@}2kYBW`IfF&vj|u?dLP|msK{XR?nZwd-sMD=1Y^-mPelk_N
zVCTyRj4x^wI5=o{nEtuD6LBzLdOd7pv{b<QNnqpjONu&WWfItUeC#ctqrG3!YOoGr
zbBo4x3p?B`pH%LG(@z^PB^c=rIrcOa<>kNeJ%O57$CzlcTt<K9w%hr4oxa0-)N6EJ
zjsbFJ+)O#61dPeXFh+O!7E3Y6F&aL(PTyGWT{U|Cm=(ARAt3vW-vb!}=#4i|i6SG)
zR{>pdj#<HWQqjWd2K<hk+(3{q)It(X4j`m>+!_?b!;k+}KX-1R=BxM$ju4q^<0NGr
zm-R;dtwiTQY_rzw4~8Oqgj(J;#WmcyfhYDF1-AJ9<uS01M2>ayvoI}dX60>)(NRi#
zZ-4(Te)}=vC$WbzP=&<e0;Ms&%UX(bJ=DcSn+!26S4St0Wb(E>`yCt_c$m=XlG!`>
z>MV`_!X!#ODd;`auwDXGKE&)(j<1R8Ld)}6PL6tYnFAi(6BC_UNe6u(T(!DEvl)ae
zm^@GXr%jtS#efBY!WTL6&t%vJtjT~-sC)b|zyfxPjO(;GI4mqKbkn}<7d<G!vrp6q
z-zBDKZp3jU?n#VF08EB)u;vcFxO+G1>g9(v5j^O8eU+6iUv=HfEkduzNP>^iA{h#4
zOnigV896v)d?S^b8sAFUI<HV_Wn~JuIgriv5bKKL={H@$Xd<a7o9ba==7b@f<$wVV
z_JpXIE@iogyT{Pj&~4oufGLSgymyI*k#6iVJ~|ksF(k_&f%1R8Fz|$GAw&px?PpRT
z>z_@?4EMv%Edc>hmNkIB3jfI;aY>g)`XqHbCwlYK^MaK`UL$e?Zhsxbme75X1@l0>
zmB}xz1K~nYUetbjb=w^VLdCEonSMD!O{>Go=_+6pwt48a9+FGwM#4fu;49*VH;_tM
zS$Xd6k}J&9z~UaFs>5&uzW3FMfN99IHPqr1=NxS{-29z^%REF-#qjjKtSt6@Z#0ly
zf)rn3m+iiyMY5gAq%pM3=ohsTBm$vqBIYW>4P$MIM~$efBH0lNFP!|{{?{R4MC`FL
zuDj=+bAn9g`(G6WHdtJ9xuzp9Oy)D7Hp#HpKj!fYC4lh@$DI*OOahcX_cQXZJQfP}
z@mY`0eB*}O(Dax;mq15P$NA46iV4G3U&f2f2rTq$1}|M(LCuk8B4)_E(7hiCaqk5*
z8&L<$kJhgokdaBi26i57&}gt=s`&Sh7@^Z{Tmfwh=gaeo7h4yMJc_Uj#E@;O#rgyV
zI#F$7SCdN&oq5Cm+)8}dr_t7p@mHGxy0JoA3<Uu3df;G_zC1t-=mv>xxMMI)N|*hp
z1bSH9ySdvQ$*;b9o>QiqGmJtr_kFOH4&1x}x{-=}YN<|l1paP~xyX;?v-^<5*-Bi5
zkRHh`M5Rooz~GdLNJ<I;kcKBff>&{yi(0=;S}UT6rbKbudL<$F**%8lG^t~{_Z9Z3
zzw1%WVc{Cy3ge&<mUK(0_^to6;^;_k!>UOvQV7CDJ%umK8Oipc!;2jR+X7Q>1-xw?
z=^M?x7FEA&6~mK7D}Yq10OSZXG~B`BxQbY8Y!o%94<y1EJfJ5yi2$(Z@rM#ZcT^Gr
zjxmN$ac~6%E6MJOaPwX!{w2xnrx-VqEM*Xin6|YCr8Gv7(Zj)lXhAfM1bqbajHi~~
z5eFCyo1P4V5U{&#tj%*j%h#CJFYKu2e5QpTjqvH`2U~jdaTujTRmmb^8YjQ{mjY@L
zu$JmL@34mZRa@Vzk&!E6#BXd?MG#0B%aO$#0>RDt>`!xx|Na5~@<oAxTAV1-K~%yf
zNf-J_oO079@vA+THu(DLoQ_uEIk6#QgQ7Y^h8ER%A7VNKPH(>~LPo=3j}pH=um@fL
z9dOc+><=Us-$F(zs?;7EIRL5fm;(q<7SN{tv!z4xgd$_0{?uigb^QO_^UcbA#jL~*
z2t^r=K7u-(>^p=Q6UCon|Em1_TUo)}ys7&3)^`y+ABvAZIamMHV_K(JUF-XohQi{;
zyHz_p4hZyoU{(DNU1BGbszSKgri-Iq-db@7G<Rsus3lt$xE368o-X$oO_6r(zd679
zV+SBX7Q5Z=iu~yI*AP^v#_J}oh1<Anf#?`kHFz!mWr8yg3qJf99}I{k=pjNvL&4MJ
z^d*}^YHfl+(TAMAYzS@+7?}vLoZ#wED=eVpUL}FBmtXo`+Bth*5%4Jh1zs2s(KEsG
zu5s#A7I1RprqJMWhd93u+oAhs$n4C>@zK^~_4`T+=M8BzCi{E7-7)41yn+Kh5!m1G
zVFX`6(rkJjfHx7tq0b`jlU*pQf%+^$A=X_o_F!1PgI^dCJFFEajvwchk@@$;lMXN)
zj?k=s(?CAp*KC2~bLP=D5w>7Vi&g*;kHwWfesEpx2OlM$zn?`~wL(8uJDf>ze?2iV
zA^M+S5dNt1sC=S?jKXl70=hYg3}(!Zuua+S6bqA*i+%6GD>Ih9@~Yg^vS#s5*yq{a
z{<OgR3)wCy*n6e3vlDzCKPXsi)M6;CiB}t2nkd>or8tE)HLXq43dgp<%0k>INiq;5
zl1?}%mxOkshY@xBeAwV*T18i$(LKDD7+#Czm1@MZzdDQln~WI!s~c_G>|i!1n7@J8
z>D^v`*W)*Ir+oo#3Vl6xurkJ5ATv9QIv;Bvc;=>vfa9@6565LsmXAavgnV%0mHhtQ
zcw{(g<oefG^Z<YzFivzkd`IX^SW$T(f#lwFXDWqNR}TjD%&km}kK<Y9IZvXXL*RCa
z;2u669%3lNz4Z#iBVw{*9C6)U9J)Ifl6cVP@$kmso38|d4}M*&^IIYHUHd+E=vHu6
zN|K9$Xu*i&c~NW_E_}%Ttf#Iz;%Wx)9SH6O;a|56t0D{vHX##n&?{ul<zuzW@i3+u
zIwZQm;`0a%0ePbc_Jk&KygRSgb>iL2HKXN=a<6fm!$O%$egD6nH&^a7#49klVC<wd
zjv}~0^nchxuu0U=8wci-UkLm=rJt#>r;+#iSCtj2EhZIz7UbH#K@(eo<P8)u4S;P(
z66iai+VCA8mX)2wzY$t&{>D0RGnb5O!hUb%zn^A(t8&VG>X+W3JN`x!J$dXnqlU29
z$<P4&3hQ#SHzUplVdo*k!+?@=pw>xPAL{MVH<{i+Ybw$S$g?_P4CPc4-tLo|0##ls
z3AhPo-k*{mc|oa#lFPQIQrco+*4uViPJwAPtbeqv#Yp@dT$hl`Vz~V_e1C{c#ubKS
z5a@@8-=wzGqNb<B#52txJ-ah+td2P*zj|tC;Pr1J%e4I-5J4#H=yu6%!{~!`#32s6
z8LJX{`jL;BPJSVucjMtr*Q}icWoCoBJLWY%=83`T4bcc0X+7g|1XiP0VY{{z?NYJ{
z7n5&)pA4x%YozjmE6LJ_xQ>_-amo@+C#q{PTx*^VIhbY0e<}essf=hpb>DRhB5A?C
z{iE&e-KmJNz$gonH;DRv-H7knC#M?jh-3P;4E+!Ts~A`<zuxV=?iap+iyq4;GRW5o
zGGcME!ybxUMB6f@$@^x>KFZ=Qzj?P}ejaS10CJo$p$(_(6@-+byZ!%QMN;*gqW{uQ
zhR6cwQ}SH9UvjQtjH6CgezY|qBSzWv`v*}R=@0GN_#mvq;E-IUCkH)-yiQmi=EX2S
zTwDXlUBZd=<YtZxMvkK+A`bRb^k=EizHq$Hx?tGFQv8Wyor>#QJ(W}bkPVI5)9*kI
zIo2M~MkomxF*zP1Q*cg14>|4Ki-?NWVU4ZPB}y-kGHwlQs*eWr2AwhoqWUz5?Ba!M
zQOU6xTH?(FF%c(yH8a=27<UY@x`7~Su6wh#Zf$c`AxZ`uE$1vP0ja5mML!_-CE&b8
zuUg-k*YYmSEGiSaH->zM8_&vIA6IBgu%qU*CL<%^xEKV84(;p}%ux1PU9>h(5s)W&
zw>}h9TwZgG%PG9~RvP}8d+7)brlzMWL&Ya{GZq?vmuQFZ%?*DlEJ`NoFl0QhgWNh|
z$Z!&D9empcs_SQtLt&q7TrQS2<~p#rQ!_@e5&g&PkzKWzT%d9MIGK3@9i*0v(<~xq
zMUb$l`1^O2?vBoBY59BGQVm_ssHy&rC5lkYyoN<s1IIzN!%_l9OY<P-nkY*q8#Yl<
z&7d2@5VXAc>js7xss298)v4jY^zC-N;lSU^Vh*Q$MlWM^A-Hn{=qX8`1AD-FSVr`G
z-HlS!+C24RDKFl`(pc7Mi$Q0o4dQ#00K0lEj<82BcP$)y6{dVQKQ=Y>{8M|(xRHT2
zi%iF|>vo>VO99$JrIm76=cDAFT3YU3k{8tPiD-{pf!uZC)3XD><p*&&0R|PvBio?C
z>w<yRlah8^^Vj^@7Y>R_@ndWf?5e~r4GgmdQYf*uo#@$tKLRO<&uzgM85|R1=u>);
zHgfHbo)Io_tZ3pn1;o+RlM@^k2D`m1pvk=2Gt!`Op%|nI?4=mqT)h0No`G^Z1Cr&b
zh`b(7Yorn?0JNo%y9nfkaac^H-SL9a6Mlo-;je38f}RnW3ct+SeHL4f<R8O4c=K6D
zB+97Y;56`LRDmQow|*iq{xD*>g;CN?BI0l2Qx=2LV}^~D!~QihXJ~vuyn?qPZ4RR9
zl;Z1Qh;K|Yb^G-^FzhJ?ERB3M;oZMK6s+n6NMtfDV78zuSao!7!jEs7^KwMwqj|!$
zo}L@mLVS{2#l^)j6~$y=YJRetR#lT3%ZZp-ee!0Y_6KwO65$Kjo$pZYd;U;b-ieq#
z8JF(?!*jgD9ZYuZ->@KIAdb%P#L(-VpbRj&sY>DL%>rUT2EgHrFk$HQl83G@0V%_1
z(oBf8D61W@ISw8$+aPDU&*D;&y;p+FpYI<dk+VR|AGlh&-@3HZ12OF1?WMr9{Z7*Y
z#}N;KJz1;OY?$+G6*RMoBaonzyS<l1-v>vap~0zR*=w$<xn{q*_2gN6wIHD>h-B=k
zE<==HJB=UDr-G8o&Po&U;lL|#3GwWjt8nmULZ=PxxD(}2S?Q=V5kA1(!_%PJfhlID
z_t;nO9~}oU^7PCbaMdbj&b&}aW~jahZRMR~e09yug6h`$k#&z;C#6Iu+{b#3_H2Wk
zjy?GtB>pcUfo=SREGej&2Q8wRH~Bui{wa~X<1+;>{&U|ge0lo}-THaBuW(>sVYmGL
zfUe;E^D9FeWS7_B57I9!(op~Iuq)U(8Lsm#63aFFs&UHwJB8KNrzfawZEfkc9pw5H
zD~e}@TIGtX>zboS&GpHyK&%c^*9VCA55uVy!))%R3NpCTc55l~1>4T-h||)~%XLtN
zks&=cHa4kk&(KfcR$#Q8Ak*F;CcA<n+-v!_Itnf_a^4mrUMK&SmP!ze6EF2-3qR_}
z5MZ1qrhDoBhmZ5|K)dw%$9kabNIS^wxgIWKc}zD-<Q&WBG_)HL<jreT7&thD2Q*4+
z+E@}gh**B1yePRDjLhEELXVn%OG|kYgJRCSC9?Dar5?6+c0q2%7B;r_dC}sJ=sBL6
zoH@h(JnASSKD)DAkbQFv0i|fWN3!P-|5J-2u%o-Xt=QsibMxejA1etdDL|;#AzrQh
zcZQ@gZ{fk-ut@_41m^fjUBvVckUDSXyvF?KKEd9U)5Dp9QST(+Q#7`{ukYWBpDWm&
z1^^8;-YN->O@kz0pY(iET&x(wZ{V<=oeC#5LU~vcl0jBP?Kd*pM{AhFjGo*AoiaK1
zp&15HeKgPF$c<lI2ts&>miA*<e8jU=^Bb9~?a4^bVDwu0aR?A?JCH~N-&hlf0)vqf
znL1HxIs9T`id`-(#s?}^tY33V_Ky*whK`GFxad%1AP+nx?@z-*-;$(qy)7yVoY}x{
zQ!d?W(-t`J-2-W!dRQzx5iHHYVMr{&k|e1RkYIfK{yhX=M%Y;{l-GY(7W%KAy<9W)
zwdm{DufR0!f|(rta7cXLzRl&PX4$iC7`%h3A^XDQ`1m<HyVEw^t&qV0&;HXL@Ez(s
zQKWmA?zts)bb8_WD|i&YK`e#s4Tjx5Z1XZldsiLL5Jz-!^;xf`55EPqWP{h{oC`8C
z{7_Va_#u<FLDFI*sDQyEIrvh2C^m^<LLO)DC15Kjrj4{6S%G6Rg9*c0L6YYAH`6sk
zV`DIqBDk=9Wz?DHLVjKT{buTgwXN4jrABegz`^qT^ry@H_S3z<bCG<vKNref46-C{
zcR*fNZkN=Q98<p@kFV5zb_Zp?FBeNtD95KgVAyWW_z6Ki{mJGcKrf^gC^FtLb?K_^
z{aOTM10@~OYOLX91xaZ&mmq0UD81I?sdx29)AVycMYaCc&tB}XcaqExR1&6F^T-cE
zIf6FqU5?&flH~&o3-jMr^P|7@FM2)55i9HYhE-7vOx!eDYV~-P`P!U;)R7}Qp?yW!
zM<#f|e9eF4NHT~m67n4>6er;(MoQa18PGN-kZa($8r|m2>$#3{+h_b)X8dRLDWi^V
z$$EUy@<Spk;0ZF;3XSyW^NhHcVB)*jvQ`ohoP$eYV0`=-#Aw?vKJa1d`Xv^QKtxC4
zNJn0eh!y+2nuuc6g!c<6q!rq&Bp;q|KVjnZ;s_ow9N#z>jRuPGWHk{CKy)2s@GPQI
zFvnA-<<U)06PGRtqdPGa+Rw$uH~b>b>EZW;gXjwJ_=v+6b7qL<3Bw29^?U=|*cvZ;
zNKf)H1l9m!{iOO8q~*m*p-)g`Jf@|^2eK67CzUv6u~^`QGF4Ivd%d{0Sd8V&`Rt`w
z(_ebpt2=<>-_>@(>4dI;1e)L^%9wv--1=$2HDu?ZUAuQb&>900TA@952F4&1miR|$
zhxoT5H=VflF4yUP-s7i?LX%lR7%cyJe@gI8Qc^%j2%n_noP6=CmAsQ*(D0JbMu0ou
z=;^TuA*X9WU1@^sY21*Rjs*#iG9M91S!R2j5BvwsQ_nCSS}+>(b@T=1E8S+P$lQgm
zktr!=HWwx*CVu0Gl{f(Dm{q%na>WcE9>wR2mvbvQ9r_U%4pCD13?Hbbg8hWxtK?fm
zr4B3+Hp|!OCJ0RtC*`m`xvy01_?blf@GN?qD@d-0{^f$>2{U9wN<9`=S3Gp}bQw3Q
zKJ6H<oI!@5!lFrrNoh_CEvQAJP=^m+<ZQX`;DM^f{6~`bYO^}!^v8bu!Kt*^BffMR
z=;k><USK}`F#1&&aaD-#MF1EdmN|(n`}5-?#f7a~ktx#zZ>ltWJ<a8MPv=VnOCiG(
zxUuqTha#U~sc3y&-7yUf>?z^oJImps{=7%MT6=V~PMsnSI&d^&38yz`9(j*AWR_#P
zLp5Qb+VO3IYBJn2r-K(I>@s=Wn6#pdU~CXqcl^B0wSFkZ*a1V<z)d6K-Jd?ac(;L!
zlBU{u<SUErONd!vJ7C+nGg&FI9>W$Jmgf>%avqb=7T|x11<PY}pH^wxySy{f?{HCL
zoB%DF2+(2mD4-!|ii?jwPi9C}*g~TY@EXhNK5Fw{-zW6scFDhb*F=qhG@3C2K0v^L
zvFPmKXS)ORiEBgWBV9ZfWjr5R2{UA7Ae03a0Z9u&6c|ks;~I>kNALP=xQq?ZEj8DV
zsniX9eF-?QattJ00okD-?{XhnIW3KL2*4aKidK?th-bry@l;?_3})NVD4@hWcx6xp
zHKsp=Z-8zse^j_&f#~E|P$Cc%b8ne(zU;re>ob}WgEN-^-x;{%3sB?iAZ`tiqUgK~
z&vBqMhM$1a&-X*zHXwRpBhLJL_in{FU(}LUwU*m4+$<3zETRQ|KWl<_k>o4kX_9$3
zC~Ietzl?BaUmT#5)kp_P0R(s%d__-zc{`jQAFHexMw*RkUp3$V^XD3XCk2EGRo^+c
z_7;-5z+eM4Eg0vUP)*aw`4^d%`@)J2mkSAW?;rf=Jq8L2zzWVFa_Tv!e17424~sB&
zPbv@02SEB$UeJ4<fb<UN%x;q9g3f3gd~q-!f~MbEY@FY0YmaCHa9@b$NI<nfU{}0r
z^<w5dId=B9sYhCxa1_y)p4|=$FVIfyCQG^BzsOgOmu9!Y`aA{Mn*eBC5`+O^E#=7}
zl1Kw?61WMTE6mtlnHSJKV5(_U-~A(42_%yOy+NkJQ&y@q%}0({Qir9b2^>Y{6(XP$
znq8Ezk}al5coEb<+kqh84GW{!@QvHc^xO3J4Ilmd#s}VJ0*}KdaIcf`;rQ+Vz^CA(
zVY|`3if;MX`_2HZt&D+<xY;TdhLE@g_Y=gD7l5<lYDS+Ps`a`GDdGT(a-)+Hpb!S`
zg5*N;Y8eL4EztEbgB&7O4I&VPPz&q=;f73Ps?dB9n+#eT?c8e|mH{^+`G%S!V^tnK
zf<ijmP9eoytl}sM`$Ox3o{ZJtz|isx)-;mRH1at~z9!-UYn?u$p52R(j0ax-HbZI#
z=R?9o9C`pU=c<hNHoBk;e9!&)dSgRF$^fg7|9u|t3<=^vkOA=@<Hiy@atEX$u9?9<
zIeHL+VOr~ry^)veTiB<639$IqqJO8cjO3!mOWpzM-%;c34X`2n0#kwvlIAW?{;?hI
zt9TSp`uzHe3?z`0+uy?lMZ$K<uUccO{gvz2-<H}Fl{B878$5OV-+J?(Bex7NK*&zn
zrwUJ3j5H8|1!|FqSn(`TBC(*xZ3bk9zh@ECPI!bX7^@9{lfHJZV%?Wpj6dBradmVL
zz57;A`S$kJD_3+z-aw&_Nw=mCe~YDfGw(c`*2#kQ^(u6!8$#pp>iB9%h6*g|C?0d}
zjIX`L@e6f9!098g;v4JtYQ<^WP+q3|w%c{`WYXc6APz{*3vOd|VKyRB2Y?RK{Q0mk
zjEf2<NojjdtbcFO<h?EUoj0>B4J81hH?DPVfKN#+3JimI>k*vEYHr@YVgDoCdd)pN
zJucdGaUp4rLLeFRxO~hJGy;WTJG%SDiL3|Y5<*D-YHR9EIKJ4}*#38hZZ5-wV}$Tk
zfBaemtpf=M#9|h+e#;4M90pzTgC7AfKAN3udH(#%d51ImOj<dwXfn^3@#@ee1wA+3
z2bBhbg><Wb^gTXLfwl&2-9&V%nCb$g+@N~w@qfvc0Vi6Ss7|VOxE#it#kbAZFLf7V
zUGVDQ(%NwIa2#<j&E2n0g-kW1b>G6tmtzom9qKv+>Kj*kE_(9>K7R~&BpvY?+qQ2n
z!M4*xP!!H*WDE@7lV5ET?SBV$n1m7oVdW0HaWBomdw69pPnQkJFQP52A`1k4)mvCg
zF*Z#YX>w!&%xliH&mVx#X}ozuee*Rh9wAqU1sb?T3~aKsMPf@7U{EsA8^5&?OZxET
zfm@T?0109V8Naw*kZa_45{uypJ_<n;ot`dC;fVi@#0g{xkPI_z8GVpY_F;o<s9OMa
ziXo~tfKK&%@3xN&L*cI50u~YvA(Ks}U&^X9bP8%}oM@T&l*A^5b7RD#6;$`ow{Jd`
z2D@1(vUmgye8{1ozj>w}ta1PXvJlXK$uG$`jfRGY|HLbMz=#Q!A+5RQ?Pk1DAW_+;
z%O)2(mLw5RM&#^is<c3vbN($L-w7RHP7jZHmAi}D>hjjgN``OKTt~O7CPbkEEWv)4
zJ0L)w!|Bohw2T-skNu=Oa_9#FPf3W|59KuB#0PL#!^NUw`bhVjl*|UeL<qf702Y(-
z`VXeN;5p=8Y+VN!7y0YRS2Jba8r`@PT@B)bPZUhgfJI6|LREMA?3v-Q2i~umngXz)
z@~R^t;4x@AatLm&MTf6)cbXV}EsH$LQq=WrW_o+-Yaak*Tq6A7%FvA&n31t}SnTR4
zW0wI)K^OH6cNF!$K&}&hr_KWshBcbR-ljN&goR;llr*4r;EzCwanI=?0}bhp`OWoY
zEHo%byQ*$@!AJxg8p-JCl=L+hgxeBP45$f%5hvg{zft0KJ4x)t0Vi(VTHBCK&9m^N
z**hdu1@#=FEO7<LSSR9YA*%})4r*FxZZLa@PgFDl|9vd4_8Z<WG!?9VT2#dm;f(&K
z3C+aH1OhB&?6DR<F^2=eWMpSohw>7!TgzZ1NGphIoB~0h0a;mlaVnOtdZFSZHg_O+
z7f71lYKS=n2CES5Ga{dmXGSaVz?NuL+-B7Z#uN|@W&0tU$ztJZcnnQMvow~G6d8VC
zoruelsGAAM{CE!N7MKnKtIZe$e4Chfg945zu;JG}I-q2M#qio4Bpu}3LP;G^ErLm5
zvB9oFkbS_>L?Zz3C0p?E?c2BApe-%z&j1CB_Xvkk2^P2#(-{#u6(#OTA=EOz@XZfm
zkwdQvjU*a&alo4iQVv0genP*~K&*1tl|F*#U%c|1m%Fd|&X1Cb&DVZ*Mc~@+#C3qg
zq=$xa2;+;wwN7Ta0j@_RYDS13B{+1*Ihk>bL1TrBo&`Xa-qa>i(vhoMDYdqvg9*hW
z7_q{g*5BhqiK+mk7aH|K!?(yNB>#>I9(aN>l<!0#irhDxLL_w_77bEg00T@zkt@-z
zy5CGNnh5l8V>ScQ?GBq<=_R->&`7x(ziz?b&b%s`^!nbe4rC0Ip)3f<N9Z8PVElyp
z@Pv2~OeevG&%%4{!p2`(jkYKHLk5T5jx1Wc%|)p0p5P0EZRZrK1W@cs!ZBP(SJ%)W
zS@@{M-&f!C0B7^au&5mq(BWHoi2y0U<orU(Nym!1Hv~?LC-mlEJS&M@Cm|LHI_PRH
zCR-IEYvc$blkyD?4KfWGKpYXk!!t<c@FETQHVPg5BaJ|?4PbFDfLlk9)fJSCWzN&9
zQ<nO=$gC%pZyx!Zbzi;!1{XYtka|=qs2u5F8@vFKn_K5(#edpGA9{*!lR5}>X@zY)
z`aa8(i&pUqvwP5Dl3)sa%;wkw47HyI&cVW6zvMb?^FDJ6Sjlu?`>3MS3u2BV+JVgf
zKnY1!%&sHzwFgY@p0f#Y)2F@-bQh1P)bUFK>bY!#I80J|367i`&d`dJoO^KDL*wHC
zSOO3>5K-^IfCAEwp-pKjJ3NS6oK)@zal$QxGt{o|y5|;%$4Tj*BIj1O6wZh=D2+%>
z4pEDZL{A120Dfj@U?4opvk)o+D!OgA(scInwSSrD%B94SM?xTQ8<B#yEX5nDc`NL3
zXm~I#nPhNA3mWkY9Aw1Ng8}lG3IlbxUcs?EF6tzC?-X#k+Bl|x{Q0(&%j-x?Qaf6c
z-Ko#?8$?%j_hw}*JoNu4F?`_kMKP^})I|{33h`%ZV9G+rN$fv>xthy%jzQXC3@#h<
zAxQCs=P+jXx<)niunVTESfT;ql=0kVYbV%uanG?sQWV8(e2u(e^y(2QYF5XE?DX?A
zQEX1&_(~}xF?LdyK2rz8$=ULdVgYWcOMRuAfdT<T8^_;?VR(gwhy`2JH;W0c0c9@Q
zanT!;FK9P~H>mO43sn-1co^Q2gAq*R>O%&#3IB0-509((#gOgz0-px$Lm*x{PPw>y
zx|IKN0+Wu8_@c7FJx!VlT+JQNoXiP>^yVd^RLO*Fz&!?GZy+=wvnh}<hV_+~mW)2<
ze|Bg1*|8sI5oUU^Tp=qnli1P;gbhDz4N~NAVNV%NzthOjH7qh~tJtywc4L*ifX&WN
zn5p{^$*9P@!sO=6quSPH`?Yi*U=KUL&b5=608%2*_*~$G{U^*WvH%xQkJ<r7nKay^
zXu^40{3O6_U^hC0RfA{&k|D@uRaB2ZJZR`>62zRw&A&lWL>*FoApKZ73gAjglIkJK
zBi}zRPzy^-G6VwQIrLbp!$FC%LBlG@$@Rs!Y!YY+Q4$7W#jmHJdIz9d_-X_WJaSx-
zo)J%njGRQ7EefLzShoDWG=#BX;ctd031~KnF3*9)E7R=}I)5bk!g5dx76Cyx*ojYz
zzJi!skH^Zk-=r?ls3?4VlAA^7wo>o9;fZ4w^4#}=mDG*y#q3W&CMDK)`}@QfTKq%)
zUMm4xC(iLa`sO^i5oI~qPmuJI*>zrjzik5LpEBVQ`^NJBBQZ$~EVR=!ew=}U9M10t
zxjODfZEVolt@9`&Ee{H?RLmmGHzQ*+h+q_IND|wMp7kB{vcxb4=7Q1I_V<%?UM!_i
zT;#wP*Z>QXm54ec<}L9Mdao|-#d}ae{0B<a3r<e$&_@v2E|Deq2BI$iFH3)4T>uj=
z2_=Z>&jJn$wb3`!Silnf(NK(hXj!!XhE>&?aKwMAw~*)lv2YB9ZB<xI4jM{lwBSKy
zf!g7`VW|Mnho-A}Mg3k&p|YpUA07*_LZd|bLC{M>gM;MD!;uR3Uidw25*Iamh4|At
zKvw9fxcBeh5~#>Dta{ux<>)cJhz3uUl&D)VPw7jpS)D1zwnY?I?8xjiiXp<v<4VJ4
zd4+oil+DF~hl(h?bIxY)AP4OglI`KGW8A)76HFHb14c1F7Vsbq+H0V05(AD)@)XgZ
z8<*NJ!P;YV<PhMpHspmIgMI}IfJhix*aJ}pk_0TYZt%{XLoH!9_j>ivzQ=m5;AlD3
zL%0+Z!Yb7+WS?fBt2S<6rMWRi`|PB$CJ%nY2ozOs-X~tdcYrIHBFfF3!$1-h3=VJ#
zL@j{0!ZnwP6-p8WAu@%O6;o4eY;E^#z1*Vj+t>CmNz&6qH8P3XNsh6ma?^w^ix|hh
zfB(R5>VXSGC5D{MzyJO*b8u+Dpb4?dLsZbYmgD$TgU<ix+7hL7M(AMXz_XPGvX7=Y
z9Z(ASam;ElD8od-0~k|{f6x0`C$<fvlz_xpAVLb`ED$-3_;ga#Kn#N0h#&#P3<7|c
z1oN$|kmdyXWOzPuwR88c^+N6w<V8<^qvp3-wjD$F4xdGKhp!vgr`1Kx?iXV@E+m93
zt?;p@YAc*njEka4XeV+7{V@Fz4aPdsd!tH(y6e2HZ6NLqO-DR!#&XkrV!~pAL1`yx
zALnlFGnb39oETVR?s)QvaY4f%!T|Hmu&+rZGMHf0P_vkk0Jskj9W5}F+@?P`o-wqN
zUX7nWN%pE*nQ=7`2IB9*eGLO1Ld?hzPcQ_i^C1p5Fo>R;?q7RyXcjdV!F!S3q@Rfv
zDh0g(GaH*4GT{Mkfg;M`y9RKKL|CAT!97Vvw+SZ}cssyWG<euzqxH!LYWgp!UKVbS
zDxga{&=b~h_{L?*4P+FV#n+^d|BLD9#m})C6`swyuykEBR5Z%|H6R?4^$7evE>UPn
zAC;47#@PuNs?qiJ^~p4?OEnZ9kue>neXXfo>#y*ul45#ApWy-^QCz2@Qd0aNRDpZ}
zg2kOcrXb<w&GRA?-@sL~4m|O<z|3Gwm8yku9;i3I>ulUXpoIAL?8zB@j7kTe`(i@?
zQ*LZ5jvA7P2(4$f`(e=QL>LC0GTtKAs!oO`D>6R<{!3!S1j`&2DkxA$bTmzd_0KhC
z7%Opdn9M9q2L#0^IQDK7{-H1xT&q;UVs_;2>s}@ymgVKyQxMl3JaynZ$|}84i5QXk
z-|1@)f|szR!Rj@l2}EIC3lRra1vgtT(iTZ13`&U9yu3Uu_2L}b>!GQ}wtr{->Foa2
zO#x*?j0&xZ`*tkS##gWILQBg<y#eiYEvAG+Lk;}D8OPhvU@eB-qP~#i0|rc^xrFi$
ztPKI15aXQ%w<0zJGH{gK-7D;fXq!Mz**fX^S0#ZB0g*q5&KLu=3%5I=3&o@O4L}ju
zV?bIPIy*@)IUq@*HNjDb|4Kxn!0{98W3$#MDV-;Y)e>*wp|0c|wj+x2{`<B4IDNk=
z=pP=8T_`TjuS@98>$?6O0)z`$C-LJ~=A9Ud=x}k80A8Sk#BT>?6Ig`+yrOs%yuxD4
zscsC93zOXjZ)#{Ve?Cg9SY-P#jS><u1oHxk1OtZkN~k5wEPAj{<t8du%(;FG1uw_p
z%jYuNF%l&wx3W#(2C3?S5p)%q@5UrLtp^S$b>-Y<RH7B~aXlg{5RE4e_$yGIcS~8K
z5-~WLj#3`w)xT5JJZw~e2}>_^C-6Dk94_$I7UB8GEij;WxbkKwUoEY&s!XDkqqcp^
zzT2ow@sf)l>xFKk&P3r=kM3?WHTB=A)Z7y&4l(%Ch^?v1k$&#eMYC|^mHKBrtF4F9
zB3B2Aj3^TgzHkyU7+p3|A7u8opt2i>&SGwd#JT85z06d!U*(8Zhbk0|Ihd$}Qc|z5
zj8G1OKEJKSpoF6r4SOxB3QW6HPSwU0(Tv_1DfifNm9?niai5bD5=DY4T7=?f&&W7e
z;CbVD_o!}nrrLMpvKHN3i8wU9-oRNqnw=#)X`|V~H@$6XjNWX^^E;p%)Ln8%&xE=#
z5HI5ubDOTYe;L0Or8uV68$}D7fh0h;dAZ7MtB$nL9mA^V7YyZ01Aa|E=o+;`Y`PwE
z<FMwHmgc}^juPG<UOJMQRH9Vvac>tEt;pHRI3yfkx;$oSfw?F3vu4Kl)D$ustPtl5
z5>Yi%KOVAsVl0PRPYn`FT+zT7Nb)aQAjEi~J&{E<ys_9=3x@$2{fRVcLaSq;XYW7q
z+gvSGo6HfJ|Nez`z97|6sL7UAKZfeS&waO<4os7xp8sT0_Po;pB+^0`2z^Gp)i+b{
z*sxQPZHFq@Ah?mJ+Gj`i>z2+j_RZhEAD?a+|Ci<NhdI8!H&;p>z9is+jaImV`wLTO
zGa*zlVPiv6aSw0{DZ{irO=97}c1ubna_wkoLEn%_JSh$iCr~Iq>2h?zBq2;LLf5vw
zS#AWxDam+;)SYY_l$1Ptd>bKI!yh2KFdeUe!cTpFLBksBqE|t=_u5fjV7{q#M{GKH
zXA`ITBU);$c1T=e*wUApZ4=zSSe1Xx*+NHz^)Uw^6xh%Vs_1GO(D{ITvi`T=7tF@A
zx{oGxiF%HIw?OiHdWwO0X-5<iI1rs3w%%7fS!IsVI7H#0ca&Q|9+7~Y53kYTs8Pb>
zC+x(-t}~wyoC>=e@v!taP|O{N-DdnlxwwYATGNYF>WcDfZO^YTYXvK=TyL_M;Qzh6
zE3-YRvHHl1Zm)=@4?o{bnt`F~fQ1K?+rq~h4D^XXxvVg|OIx|^Sg1<cwN<TFw;%5J
z(Km=<#7o)9w(*tIa*1DySOxW)B6(@o*4$8m;rqV;h!=|sx$ZO&h)EK|7*71xEiHMq
z?sjXcNasU|rRiU|M18PbwQFha!i}jd$^Pqj?j(u`o6N`p5H|3TJy`$o4d%8tTA<^I
z)u@#Qya`n1w$+I{Qu4Qq+h~RaB^kAXnOwXMecLU+8XZ;mwE{<aFqp;|X(OU|;_Unk
zy#q!X94~wI1z8O!ZA;M4m6nwmbiBY(jvSplL&u)pCT!^_`m>4E%>&9ORlM)ysi(Fa
zJScTLZO>tsNfvxI?WHB`b%4&+XBy40!nMk+&_2_-aw_I}G2QtoKf>9xDBGx+J}!O#
z53NV}!od1Xr~`%kw>ke@$;F^SaALFhqDu?bcDOh(oBcc~jRLOW?1OQcOfs`8YFuNT
zF<41}!7luKJ;ImsJa3E)zw;5(?9G>DS(z#*QZZrK?>=}PK%C&*OyAH9u7J-KZd+A@
zcTLJ(;|OSYSGg&T*~+BC)349q-kSb&Z^(}?QBf>pV+r;m=Zn1NqpU38t#6(FC(acX
zl%jX@_bHdfTqT=#C(FC(A36o34RHa0uz;M%&Ro1`K@3{#f=^Es%l_d-ykA#HbzN%y
zdBmfuFixcPYY~TK$R4&}B*ni%pNM6;p?R7h$|T+O`{(l6M7W5`%Wf=o?insv8vgk%
zBTF$lp?UwQVwL!wj@&~m`(JgAv~>5-w@!H?!(aGpHRsFHZKXfctCeGY-1e~)cn|ze
zS8ry!Xs7#Oc7M84rm-+l1)$o2pHDtI(gWEH<bpp?vpmx#bM5QbudT_480@6lzM$V4
z>8ZH6<KVJ=aFshnw&8>QXP)Jp6-|CnU5nFzZ}9zImYtjOrr%jT%=1sH=NgRE{qWp2
zvM+1peY-x?&>(pHU{rk=b^SC(@}OZKLjAq3)PD8Ma7&IXCXo58U*B|QzBws&evfU=
zWt%Nc@1vbqIE?$a1)bU)C9O0dK!e)?=yqP&F;vZkM?4s#pHa0Wl<#`5$3is7@Fq3w
z$}LnMr?YUg@N{$vMwumX5JMb#Cf>+5f5AH-JTDE`1~SgYLA~I-A~LzzB=Pw&Mn*=c
zel~?4vUwnVN<c_t*Tx6dYtvop<KlR`?CZ;C$57$uPF1-5kVY?h#nNKGjp?n1k5oTu
zYXiWR=egWao9=!1%q_O<jja|AY@C-S7(a&%OHMSfM~|@{Aia16)Uw7z^gNt_7)r=!
z(x*uI>GP>y*ZhUlAL^E^tsM$vn_;V>rlHn8!@o~ZkOr*dyypv~+WD-m3Y?zbpmFrj
zS-}s!89P0YLNb*aPf&E33T=-XK^7V?5N+sKNTYxg8q?@VBqPDTaaUpBpj)cxbWIaZ
zW~M*E0^V!oOxriA_xh-gv_G@n;i@Lmp?l`fQ5?m{pL(3oo{MAuZPJlo?V>Gl!-YEW
zdsMZwB`&p><rzI;S!oOUdt*dq`IMYqKW2*HvLZSRzzzibfFBB}T5r)mR5x?Bc}lw^
zK66wx{kpwX^P+e7Lv4QFtW1S_4<1@Bwy%jWb9dRjS{gV9t}lK{5@uEHrjbW$(M^dv
z5Z_bjvBZ{Y`2O?Nap$`HjcGH6NisLp3hKd-hAO2s<|%z&!JsC4l-9toEdetV0VOag
zav`Fyf|yiSRkvCdv#oqo`nBW36L<U;edndn<Mg6?`z>RPj$?P;saF1>N}Z1_&s}d+
z1$r8G%-e80!*K17^D}YT($WYc`&(0Oi6o1~{f1imOUUy!V9@JQ91z{TXe`idzsH#C
zq~v6b$|C_Z1PjL>vNxBl1_MWr4tJeqw9EaSs2Sv+aN?mxR_m138|Q!){o&S+SMAOk
zAuHAB$F5lGw<)To6-r-SxvL*t)Z>x&($BNkgwvw4t4j&Wv)^vw|6*1#!V^J3i6CMz
zjrAlc=FvRVG;hk6fm-Y8_rIc+22*1x-a^NXGNZ3?CY5vPsI$9uyPH-xtM2z-LVwA{
z3=lfq@Zm7-ux6XfWuHe}oEtJlERIl+z@@2FU#@}O+X9S_pDA!LCfO{1|4eKJ#E+Rg
zkHI<sYF-4iN18QEXe1@r{XJKIIjz<YFB*}!YCQ%9o8&5I$x~k#kCX>;9XArWwv*~&
zq4vhd*&!<Z;h;!$o?Lv}QHrj?yQgUXq2HfT74mc(QgDoTCWaZ^f}g&*zV`!!&pG!?
z%)N%j*0xgM(bpoZ0_<d>TPEfv=<M`wa$C2?y@a~#U2nUU?2OP@bD4cp%bBt2fz2CC
zrSn5tdu$^Xrz_kAnoWKWPw3&tVurM##M>*qj|mhz`PToBy7zwQ`R&90jVL?GsElMK
zSy42MCPJEs2u&GLLW+naBda8<5>lyDLPjBqLPU}%(V&D%NTvI6`dr`d{WsjdUDpTo
ze!pJl`5eddIF4scOV!7ZJ0}h^w2q!{8uNOv*SZd<xv_3K@-aeAGbriDM5?S{r|9sp
zbY?>DCCJT47!e&3eIO7BmK{8!^uj&sI>IEFUi5PR4;dG4lX;u=1ngRyk=&eo)~(yp
zsn_Swx&=OJ1~ma@mG-lFN}K=&d779shJZ^g8}7XDa#OeI0ZB9W@2jKe$&LA%tfYT`
zv1%W8Ds8>bEnDE<JbwImA%-f9L;2N=Hk}b`QEokHnDjlxonk-lMPB$``Bhokw(GRJ
z=qDBSxwOLn$D`3KCWuB+bTvcDH{3h5x9rdn!`z@b+BBF<IisU%_Db#7kC3;|@{G*x
z?#`NbX58=)eaaG}IWI>{*PPcm_E#*uBjkh9UnM?S_@;s}uy<JO2&L<2ig|IouDJ&3
zfJ*DU_4_XM`0mxcM}pe&FJkeUVZf1LJ*T-_OkJ05FjUX%QrF_tTeXIqQTlbJ3!<n>
zg>Dmn+jgt>Rx{aAN4?U*w3-{NCunKgXE8LgH2w@@z%Q?<ffh(OXn+q<>U_pmhwS;0
zN2qF@RCaRHr@R+0JRuCXcsFU6ehbga)l8q&=h~gDtVvm;eduqwj$)w~YzbI98U@O`
z!BUh)uTfrfx#O!g{X&(-kF)g9dK3sABMMiT>HENSp^fvK)e+di8DKfKGd8J^mdk+P
zuuA>TZ*4QsOK0#q)h?d9$2Q7dxMaTi-H0Z;y^9rFXWyMV!sLuj0K`J-4=@Y<Pw2;5
zAS=T$M|C@?Z|j>nSZ46p`5gz@mh|s2o3S3eAci%&DN~ubFLJ(ZJK^j)zNxTtMeKni
zM4W3eYM(ZGIpI?MLMyzNncs5TbgAU`<GPu0vZDiM&Q>U~`C3k6<OwYYc2fr1D+Lhv
zW>{uH!MxjC<GqW&Ym8IQYA}|TV3xC&+{-vmte^3F)s)Xz6P!(0Dlw|M!#IhR-=zpS
znqvlNJ)CjQB!Ac2aVN8bH*I?vzc_@r^Zd$63-LFJAA_~@<l<)k@t!^F*>m==suk&s
z(3M7uH4?H-%((}g&O~B{;FZ>N6PwPSjeor1w$1p7PrU;ddLH05IyIWI;;NFVqp-Cg
zKR$=lNFTirRO=tt+D$`6MJ4NRC{sg$#3Fq36Ko0oEJ1C3vLYcFhF$KG3%X<ci=4vs
ztS+xQ_x8fW&H;U*M?Ugy{%zJ<v$1Zf&GmI{x!H&k0%(N!QSfFGx!buaPEVdZv8vZ#
zYg6Kxwso@Ve=>%T*seP!*mlcqQC(!V<{3p>3h?$K6M3L20oE`o7t@U3Gao}VDvXHF
zcmu9L2G@V8cRwNvZRAU>UyDE3-N&%%Nz0u{1C6)d=rbkB*6Ht}Fv4f@?H&vgg`+gZ
z_H)t(yF{5qNb<EZU%s4}qplacX@rbZ+EuOk>e(B9><J9WULP;|Qvd~?WFV?czJY+N
zc^A<e^z*TO=?sY;_(IGismnPuz2EdHDlh=fJgbzMnr^VG<K3OH&sN#Ls;^0C8uMzB
zIMPL4q3Bkb;E@xY@FNoXQy50;`Jb!n?OAGuq&WNCk#oN<g&nOrG=5UbmBTp>)KCNM
zK3*!=$b@bn+wKKpWb%3?@h0)O06Jb8_jH(b+*YQoBe*=^{g<(MXGmrFZb4e_x-T!I
zvtK9ISEZz&MQl$O;(*m3lfhA~@4jgs-(-61Z|mvfQXhtPW^=pNw=zI*folROB(g@L
zji_q4_SUyHufJNS=(^K4$W`5T>DWnC*PeKrY>^MQY@Dx|;uFcKdwg2EFVp_ww5>T5
z1JV+08Cx(>Jr;NG56E<5ZPuXViJVtoCLZSeG-lz>Z?7jBn}6_9Dro%KDyh;dKkRL`
zb<s#QSyQdGa?6|3OZ=JTJ2YKaa}dHHbQyZ8ePS2g=B1f99A)#LOEEn2$eFXPT+=+S
z>)qDS9C&u-tPg-oF}1C0?TiLGWd8h{kp8#xbea+2^p7%_O&H^k9?-<&{T_7$GI362
zX?eNT#e7HGUNQm4l2%NcbYhdg{{r{4%INHY!D6j?6VvsFX!(RY96-6SAH)6uwF2@*
zMf|%tJyxZksyl75o%!S9_;j_Ny#rs*oK%!5R<bds!9vNbx2jN5kaWhe%VBjv;+Kcd
zwt3^30lmj?-n_9{HTPWQ0t}8c{pq;OYW7Hn4=qEh(_1}CdgqBEIr&z|f8r`>%p%z|
zCYYiWSYnr-xWJ5)9OSN>)~xoHGVL?XvEh`Z|Nd0DmY${+36A+SV)G?FhGqaZsL6$s
zI{PDlG)1e+l8LZbjna@+C6IwO!+S#c!8o4HWJg_}M(p&S>=846XyW0}Ug~YX$k*4t
z9AtSdIr5TUhhJZdt&aUEY6*_5eemk|?-~Uc%Y+lNwoYZ7g`3%Twk|TRIy7sPBl7^5
zMff63V6uF8WWf_)5C1e><+`IU8_P8Zm1MYodKGuFYI*36kdTm=Utb_!SUEfoe>q<P
zQV_{~8MA;;*$Tj!6Q4)hNJ~Hq+=2gNic9_qu#K3}uY4<HybnPCUAB6Kp7&};C#_!j
z3MvC`o;oW#aMDPZwI+-`En8m_JE4t;6_(<$0f7R`S0x)}FwSCdQ3rKHOvqh&92@Vt
zPj=)z{7jO*_OBh*dyV^5v%xbqR~a!kwyJ88a~JVm2$Mk%QIob>58Mxjffm$;3Ysn_
zc7uX@^_TC|#W2Npff!46?~mNjG{0}H*ZntnGOh>vUaURtC$Cu<-t+97LNrWsE~I<}
zT@~C6K35WzTJElGToTbN?E!M-m%WT@@;v+u#5r|KLyVjDrMG>xHm5#GP?g^LJ?fO7
z;e}K%)q8};&2?p+a9g)0D2BDPF!Lc=bw$0*{62Ke%kpo+>KvY4X=P;=&;z`^gWW$(
zG9p_Zez48FDz#$%gHtcOW1YLa(UKY%Khd>V=fy91pg%+-j1R=lf-sLYlie%2PH=qu
z9`9>mPXOD{F>i2l{k;xnyUqRE+IT$7X;tQ1?`?fC8(^O2pS!V$UO>>6sN;Z6!vq85
zhaN9sFB)qYI`gffD=yqEjGWN}GK@g?nMJLDn90d5k1bj8BtS>o11M8}!Mq+Tf8Wd<
zHbhN%Q9HwLX1D4$R4#FzII;S|%P-jv*EBV0EIJ`Oc=(YM>P^w7PJ-gGr*1zxkFl2(
z%6(dQryGxH{lusg--0r3@eeV}NDCznSKg%|m%J4CXG*^bg;LT@okp)2K=eDG-2&%L
z_zj9?g4$|5Tm{wJe|d&tWC{UDxKV<9o~K{mV{kUNzgDAdr#y-nN;AZ;4~czgji*xI
zvW-T-#tTX|m8p2!IiIT5h?`t7L_NmJV(TwN1#nT5Fm7S57=&>(vFNb49T#>k#fTi%
zHo~$16!|PiL#6U*aq&{mWqPVXIjMU_6vUN%-xPj`DbwlPFFOCxP*`Q-&H{FUHGY06
zY}=RJZ3mzo=<hGdP!Zv+TF$lQ>>(7PfL>KNcJqC#Gza<}Zqu4#p1y6$Q`;NoiuE<F
zdC4_((jPK}ZXJmS#Hd@iS*>4R%A3Eksvr>1$uW9M*z;+d7$*q}ek9jBkiaU+1OSv}
z;HGl!^}J<GhE~_L1`PWfXtP^ctDQpi&zQzzK|$xLTI3ZJAc-zk)7%h#Y6Rij5v^J?
zO_o?W0P5-#eSHw*j4+?SVjnpmJ#(n?o0NYXTz|!*BRBOlE|<~F{#-0CpW#(Ldlw5E
ztCrFLyP?#97PFI5i!+ujyNo5cQ#pPPg5SY5MZT&am7;x$-%^o(ap`I8G*>hG*M|x`
ze_nGp7(Xa6CC)f8-QdN9KYg*>{ui!kXEoNoy(lwqcWc-xw9UfuKyHHL#VzTM4PWN6
zPLPll^Y;NLy%S-x<chvz<LX`->)uZ{S$ccNrPg!4y_Ggkk@!`QUnlMkk4e#>`E9}}
zOfMnPTrjU0ZyVU^`#6<t_@TfE@k`R<Wv4tnD80I)Z@a)tkyj$d0M;Pom*+AI{xZW2
z?w|;bnnusnWTu9wTKnQjFD5(L*~a-z>Z+=9@|*G@l{4VIc*D@y)c6DzG<}wTpEyos
z`|C9uB>I<3r*Ig_el{@y!rzU08?-Q!5VrEU(!Q9&blf!_!&Z2mwpE*XV@z=Zo9jw%
z#Eu#{Y?N-+4$Z*BqbALZsQ;-x;7!UfSfRqj_O{myTEyQ-`mABE#`iodhGZleAu2-_
zM{40Y`GjRqfRwZO%z^E))*GdM4`hyd_tmRDZ+_-1k<u7Z<~F&^pmBwxFi2vAQ_6e~
zbW!k~m?#M~hvrm!fL0(CQH=3>t-ckYRjp+%R%~dL@k~xLs(;z;gb{Bi>ykCt!fO_n
z0e=WC)%&utpj8X@6T0!Rd;;;2F(3{=v+{RplehRu3<<F4zyJLCVNl)HsKujOPO^+e
z>=n8`OYXe0hwgPZ*_MO4S600+%AfRyri8pRjtyzVwvb5Q_R8+5l~_(PBpk<2p&Oup
zWh|P>AmHwDwc`$J2SsUg8ozFHH}#q?yu({A15D=3IY;#^C@3*YiwX||lQPT@@^A*%
zw7skmi>_)pG2WlLkoT4G=+VfWKK3O__<RBK&W3CrR5NFF-K#od!yB^CYY!a%>};0i
ztqBMpjnyEBCXy#;ot9dGJKJQU#69vI{8&sU@h+V5e5IO%|EyHk00;lv3G1c=P{wkF
z2p~`(=0TT(d#-<G;4WXqb?|Ok9Z}0FNFAO2AYxS~@jcGU)%zeHBupA_?C%iJXTIhF
z`HIZ^NN4}wX186eged~&n`I3sqJ}M)b$YB=y$M-`KCTTsd@MECjyAuu=g$F>53<X0
zGhff!b83>=)j2Dnn(e0ACdHpc6eJ|JN`^@@Js-AZ<u+JJE(H}6L>BeM{&CcBEj~pg
z+nW5xwnN0+qK$92ef7JQ`}*zq4M`c*ZLfz#0jr9EEY&6sNGoxgV`TEgLdy?^7u()o
zx73zB>cySH$K1;0fcm#HO&aSqKFsTR`mJv#H5IE%e8%of{r+3D8>X{B+vm@ZPDr|_
zT?PA-^aAfM=1*5hXp7@Uzxj56DzUEUo}u!exu#Xm%KhgpU+31PcXmh?;ybzp3@YY|
zUCo8bQEzH`PT0&=OG-j`CL<&|j2vZUd)rh0hTpIa{ez|{v|W2cvDRnSfvSAVmZX}R
zn$P5+3ln#~rFc7~y(thzMm=MC$l6GQ=07Rr_W2z3bk{sQHmdtFY&Rx{Y5F(&uTKqG
z;S->ErzZJR2hY-mI)@8?-TVxfEmO>2^-?j#+{5|#sBcR50}^MNtUd3OAgEtugA&bl
zZUN^$N}r@#8IgT!|E&+d+Qkp5giM4;HT-)w3Dkxc?OYG$W;vHlnc=&!Vsvi*!#Rge
zmCUxD(lg=qt-4!MtCV#}7Z)wAjY)Fp7BOq;*@{G5##WbCmQJgq$CXXn;WOUxalegU
z-}!&=U*G87@#_-3>U@1P{4pDSR(1262k9=q=F8?Vr3F9bpRV$kw$?h5terS!?cT~4
zQPvk0%XTETEQk+V)3noLYUjnpTQbh?BpmL<cd1X>4*9wQvvxt{HRtz+MtH2BHZ(KF
z=d9wLj|$)aj8~Yn`ZqYC>DmWt-(GIJ)Jr)bv~R2W`0jCCnnqeZ-aps#lSNc%SSjq&
z3yZIPow;^$hX0*gr~7}|`TNz#j$Qlj*|{@gnw?^JWMoF^PRZvc`*pn=_Qbd>8Vv=u
z;50hxJN#$$?(bTUlL{}pJ?Ol7o8+0)$~8564jNT|XscqSoJ$64)f}=zxXncCd6sMS
zk2<rVTX?h1nXliQyN{Z$S}=J-s~sck$!?#d&(4e36R$n0UNe8#ly0^8L!3t#xR*VP
z@Od2Z&*-?lWH-Gp8$0{nuHRVaKYi$=Q=i|YC_ucepJo@nyLm>{^yq|_Ngk{2MXoqB
z>2r+bi`<d&$NKrdZt1`GTCqqz7KYW+Sd7&RZl!_E-Hyy$Oz%%@+S#FPv#nC<rX5Ed
zFI<0jD|FS=fZaa+Xu6q{KIm4UAmy=0+0WK}OJwl*jL7OeOW#H={<Zehx{dR#%v+9L
zzi}fk&TCU%!(PQzg<XuxPxUn}lN`D>s%Mtr`s@egCu^erq_A}tqdx^ftUH^X-}A(#
z+|(FL={uDpk2Hl`G=1f}I6fYmnLB-!x_n3PwkTz#{<?>fWe2o&#BF_Az0R$j(yw}{
z9SMS%46D1b;%HVnrqtJ`f1A41lwpBuq4uW4lJA?GQ%@Uds~?`$Dzp1<6tmwS)g`ut
z6|s&M=Woq2xhdl&r;{4+sSwM7wHeTb)yKxQD#AdR9;!bcLOz)CbCvm>Lp_!#FVT&@
zH1^nZHzk8@+wT<Y*?CL2ig<0TF`uR0ycmdMN6%@kmtKa(+O&^w^C<6;d1q$ytlqua
zF2C#CIMwjy$WtgOu}VLtv(Lrlw-eSsg7K`n=vKeO@o8>p!Ex;#7>}wS{=$5)O4s7X
z!L{`Us<Z7re@ho$2tFy&LaenMF~i3h2M-0s`M!<m6QtZF(=l6et#?<0U5Y<_0zaG{
zr0(*Hky`tbxcLP>a>OR1z=3mZymj`fY&1=jmmS;wk6}=cOUI?8y!IW-wXlEQlf`EH
zsd_E0IJe!qr4D~wRoW1T*1ubwLxX>}dc3}LuI|BzVP@7#8h@&P*dBr>crqLu*kDZw
zg%@?Fh?TJKBlK&x)V5piIZF1J+^QL7<@@x#C-Q-6y#jTHZr_4I$FkOKP)hzJ6e@@0
zSi>B4uXt+sEKk?bN+Emk4$qYi->Nr^H1Nyt^10$2rZm&y_nN=nWaZPbX{UC#Q<9Zo
zS)N`(@$C-KlH1t-v3-yo?1xNU3K6WI$0MCy3JRm};y1czdEOYi+bdUgExqm4g?90G
znD~TL(tbipWVnAno%8SuhJK8`I|2W+PEc@A3tb2KJYv?13)XL>q#CLU`eK_scINrK
z*3i@PZiJV4_W+mulFD<OJO`y*xq|zZ<lT4gT6|n8$?OcSB$>Qw&(_X4Hg+tEOB;at
z7p*T%x@jWnAC6V^^otl!TwOKe<M6q==*FbfLcjPpI!&LxU8sqr_%O*=o?qT`SRmSW
zi;9|j96$at+A+k#Ry1++osg#VhaY8vV<HMPiwlo^hTk76)eh2=aEuo89wgTo3-dIZ
zzj~CWX~3?5`U3bQ{Lsjol&ElYTBGitKn36lF9pgRLfikG7S{&OEmCj(1<?Uqg=lNE
zVZ)Ue(Xo8BEqt?}FQ6L}0;pcYpi0q>n!^)78QT<Q?XP}u2K#vV{lnM>jY|Q53cb`*
zA7dFv5btRz`Rp@|jqjnkA@s3`Ci1ZHpOBFoqD)XT$xn19C1s@N`iuyQpy2uMKMXE$
zKBe`)Kij$6wao#GsQ>TJzIO{>U-j=FiNBoIcB0AY|No~<+MXHxLO6DafBL)Qv&kO+
z{doRENgMh9`};~2rhk07lHdF9Z+f@?f8m$CYJIcabq5uyPz%r=!<*~C6hxFTP`#lj
z<udHU{5P-lrPxY=+=cStK2;qM5PNl%u~Meu673k=e^>)e(^4$-zp{749rqL#%y|C!
zF_O{}3Z)q~qNJi3!b0iaGTToaa6ljy4M{)(hjcmwYjO>Z3xJct6BJBw+1j;#r=^(b
ze?>Gd$hFkuVmmk^OWasc`ikF-r#}4<doWt2rA$C~$#)Rw3M4@jRuHh^!7^@9Ff^&s
z_wVt)Zs2QllmENY08vHjsv&9fVGaJq<{Tj(+8_>*0J|urL96^=?s2bq7!eRy=;a2^
zo}J_K?kUahc$UpFZoyM_D5V-@Gj=PDjL%>=iRIDMegL>nDW6!m{JW`Dok5Z?4*=2u
z$F_q|$#rscbfna05ywFqDV~t%K1k8eQ3>%&1Z>B+S~N1q+F5Zx+t7)H?i8^&!s0D0
z8DMY^YQ3<I<|nn@Ad(mX`oo-K%D{SovlPJ?l9*y=4yzSP{e5~ac%p)4%`i<&j91jA
z-)u`P838_c7rdgUL|X*~1yqeA&Cf}(ODd)N|2EJ5Z{fmUD+P7u-`6<)jb(f{(HSwI
z;!+qer(r`?_68e9s>D$M^5dUAIn%diQNp$MRyfK^51KTAhayr~ac6s5zU`<SDHHgc
zkg|j=l@O{qIaRiLZZOMe6{~T9PK1*zMlul`HDL|#Vm)0IRhT=`6xD;+9!tNahu_ek
zYi80C2m$}ms)!SEYW7mh!*lE22$2^VlS8q>*;#DU!1VXsw6&2P8!$t10QM2Qc2;c*
z*#-4~l8rWGO#wPE^bou&z&BD=sLz9^yg)%7WC#UKPm#c!dH?><7wd7<fYH)@fR<=@
z2xU&ppIYmkuXgO_cOWx5N0O>Ji}sFRF^&YQ+V`-SF$!o)l+<Ktj?x#Om;5XP%<P4p
zin&fCErZMGWdMmn55ra^Rtj<S|IVm+c}N>ak|@pz>T>KebW*+spv~Y%@pXml2FIM1
zgIXJX75Qxwd2hJ{qkh8FqF^60bC5TjoBIoch)v)A9u%32K?SL*8*XhN^gHP*V?ECB
zDS%2c?%ZhuFJDCCgKs{=5=YV@MhIwdT-KD&K5s7E{sFw0FbU>O>%{}|6Pt^iPu<WF
z&QB<(fbo}r8!tL@O<vF}IoN^)1Oxc5|D|0JFWgWGqHZ`{8Mhni0Tidb^z1|jwqmvp
zN;219iz>^Mbv@9;7!!FMd;b2E5Cw>h!BpOWyrqMZWbnxAfz~U71NoUT!kMSRFko2k
z3+^IBKoIX*2ai%O+pQ?Ya>WCJ!UpgKUGYd%Jy<L`sx$pl1*gAt;hA@26gEl^gx9x>
z*5A{lFJZxvv7CUsnUmFuPGxs%2l=QmJ<eUYV9rJkjP5vt*$aw8aR3OL2JdeW9LV~E
zL-&ShdHh4DP?MB<&8}ub0Db)k87v9<tlm}Aoj2I7D@=~~P5Rg=*QpCLvDfg<P{GgF
zt~%0}2QD^p!(9|>+n*HlqxTa(0}1iEUtgCDm6<hoakTCLv4aDLJF$ZUOV39I{UGoN
zaXsM7cw}9ASEV_#WTm!<ADWqnGzLx|i>OpQAnusYnwtxE?)H&CU=h-dz8fkK9q&P~
zJK&;WP##dB@c}Kuy_0!I-1S{>y9MlX@18F~RqO&2yQZT)*}|gZZnB2-rYIX2AJgMr
zw2JKm?@iV8=|jdbg{-UNVPC+B66{UnNFmHZUlsOky}JDY1P;Uz0gxjyKYHj8tKl}M
zowfCuF(zaJkOxvpQ3n(3gmj$y^bGP6UCYaXv!T79tOcmQD?0TqT?B9i@I`AzB!7JE
zG*`w6Lu0Y?oeD*8RY5m}?+AEB&adn8NyD|YPB2InOj?mQ_$mZUv8PUT;pOn@cCPPk
z^ybb8T#{f+9V8$W;c1s+^Xv<i4We8D1Ja?hl3NkA8jni&EdwLhud(y?*5SJ{MzX_$
z7wGbT<W(5pR`n|)N@EQoEkZhoqzYk@uO&S5?bSk!l>`>iVT|IqNt2@ZY%tC+ce2CU
zLF7veQ|<!y;J|qJWWs4iMI8Uc%a@k{#0#A{fCl$^C;B9eJ3E-P`wEd3TX}e&;y&Rs
zX$>8VMEAje&^E=%ldn(zxXP5hDRTjASXC>;$Ls{!0e6v#-Hhw^i66fsGi2sa+VSo5
zWx@!LtAk=i#5T^O@Nqn6zB15`M16JbJ7Wyd#q;$+=K_is!8hT);7Xj(PIE&W;_SW5
z%#LI;%Bbn=Ll>)_h%8YwF3bq~I(v5$^b<KG(#XVxxi&zw*?-c4Ig1v_qh?Y5t}gP!
zKks|fxJByT-rk}+W4tCNoY?J^Ywc!eLwz7B34%4Xt{yN5>-WwAt9Nkw)CN;k;nxS1
zmD%QsWy|hBMF1rk0dd@3P!{4d2xkS)KFx1F04<u4L>7Pt@6L%sBa#)2FHk~mkw6vw
z+~Qz*iGT(S9)O$%D<4KO2)dpEX%R&#-rwD6-DkPbUsBh6N6IJ!LHvGtv-Zp2jLD8&
zDjfCuzBXcnDa492NdUAGLGt)#EfE%$s2mfK52LF#f4^#L!s_B%p(yZ!NmLUM?x13i
z%j*muNtrY=Qnuy}p*)f$+eBuo9yQc=WQHf43z6Fx)L14go$?|T<qL1L4GHXjn^buF
z?SkB&7Z#>IJ7*#O8;JS34I2y=Ea(e;jhU<%m_WG_EDNTXE6*x7-hcAs0N0@>oFKj<
zctEVN36EGEyF$u|lkIGygf&`G5rX{Ci7RE=Aa4O$_oGo+hY=(>WG)uQYNt=0IU@=t
zK5iE-m_3h03@~s!2bUo%2wRE{S9=N@to~EBh*u^$h3Sn)JcyuzW=JC9U0B5>h`09K
zpz5y@@&IAt2O&-rV^p5__n&bY^|GL#Z}_t#*P(GUij7$h6`0YCQ|*Tb&`czF6g<hf
zY;bX^WS8|xuCb835!GOPHLt!)r}E&{tE<n98yGv+(m9O@X)g@?NLyr|9t7a!d{Rbe
z=S|}qZYN@04R3TNlY!T~TWl!IHP;D3<E~w@Z@gc;dX<@%XRcoIZ{Uq{n_veZb*Jv=
zI&WTX?o)Imk)#iy<KdZ%qv#CQm&|T-{LfG_;`Pc^tM=K98KJB!WojgMa^lK+oKmX?
z0~wUee=?(6l_1~<1A2&w;<FJfTILKIXIG=Fx_b3$OhK#+Z;HDOQ=dutd8%$<odL$|
zv(W_oI{%{*4(c*S3}TMKGmbvB840<BuJXE|F*`f=R$+(xuflKlUcEZThb(0;9Gxr*
z08PwY{M@F9Dm$%d<`T%~ymFNpE=)-{!aWBJXenIJBpbpE{9!?{^zwFhuU~zTM_);n
z4E?*53r)>+kMRJbS_Sf}dB9dGh!6~H#6tjVo~Ats*&Sm}wmU3z);Mwe_#v8EL_tUk
z{(f<#Xw;oC!@pCn;o;}c8xnKb<mDY<&?((Yt)hq^VU56yr^LCK8Z&079GmS^(#cAx
z#W_Uol+J6pCz%9w%a0CkH*p<>(Hi3XIb2h6=-t<^`?0<ci)naXoEhO85*;6+OD)Ur
z<M9u#M+pby8n;qW?RoGa_vuO)MS$FZ2OUX1XyYz~x~4)solcgaQO5Xg8LOAj5@RhF
zT46;MDflpMY2{ap?8WVcKQ^3HYGGE04<*QJCQ@<JwYS>~@vv|y#=(~^ZQh(YkDV$T
zo0{5t|6DwB&jCCq#q^)Dc24Ddtd~SFK#Uf<otd$SoI*_Yys^7ux7Oh$DHe>>h6%0~
zaa*c;_X_~A^fA$AC491qiWK0wz}u<c&<#Zald_QV5=d#BpC@(S!~(9lCpEy})R;fv
zgcrb&l>s9S`8u+QYOZJ{fI$kEPDs#5!}!WHt-Sj4XNMcb^e&=<!|qLq&Y#Y%m$Y>F
z&y@5LOl2wB@8T0q>46*Wb~uSuH(Q&wKHT%H_~xd04T?E|oXyx_InpvRdYt5A1??{~
zV?`Vp;nVu}^_w?!h|b{JAh(>rY&W~^6i*>HQ}yBj?$&nmy$%F$>oXR~j&tD&Jz}0L
zto(kwFZkXndPx{kLg#6qRLVpK+5N~IJNCXYFnUzCv_iZRqaQ!%u&mdHP~FPIG7v;E
z$VOE4)ID8IjrJtpSep69jYBubt|E&yFf-`c#0t}&Z;4vee!Yc=oofp}dS1b^@KTlu
zx>sRbFR}zJ6CzQ6rb|6pM+mk8N1hATXVj?JIYl7^#g9~~SDc@>v#@xfvm}{_7y5TD
z<qsVZ0WReHdl&wW*h<0s9>xwW>@~=w;(6jgOjLHrQ(Z-RU>&t^aIzL}#W%^hjLXH;
zL;GljCEbUWYdneP9Cw3}_^^2eEw3;m7Hk6{8^+YoI7nGnNGA462u}l);#Nb4e4Kj!
z!2@AhC`{e>8Sb}?GPgeLMiiUlKICI7p7o-#<ZVtjHI>HVn>JW1S3{9cy?w^`XX&>}
zdfJZ_700T*EebN}Q-LFlx%vHcHm^HYNiXXswl2imXrk0VReiiffsa>CzTk7oL5yJq
zF+oODl?06#r8BldPR$2BTyy(z^$DRI6e>jG{DlTfm0;1I(B^v5Ot6!9C<0exV*JD1
zC@N{Ko@^+lr@8K4*&Xh{WAoiZ6Er&ePA4Q%xMbJ9rBwrvG<zSj>|cmeh#CV{z+p)y
zIrADR!xU9j_mg_U5iAfCDCe04PXHoggxb&QgX(sUOSt8o+*n1Y`8_V&xiei%H$b+W
ze172#NarPbG-3t4i}2KiV#njcxbR;Gg*KBkvVtuVjONk2@Y?H{=IB(HIBfF9nvON=
zW@~Occ$iQqp*bTYvTGqgXUVU{hSCzE4TA^GC~g3S_;5lfMYt&{F7}x~{pdmOPLaGH
zy)~|_J@Pl5NE|IIFMp!?wq@ngF23U3O~b#|DU0iI)wLv$3JY5iFavP<Sqx$sX$@n8
zI2-_X<mD81cd$x}HjVJDYGx{iO#ib@jp?STjs_Cd9M(1JaW-Qp?s1k8MxHO_e|f#9
z#F}$b;{dVOoXT^0<LzIVyCRtaY!T8IG}Gspps|kO!vxKf5GH!|?|-W1c6Rj%7WnLp
zi>q<cOy_igKlGzs=iUi9CGt|lLH(&;h*kogq@Ic-X7h?ph^+QB_s~_Ab>DgVH2#jp
zZa=@n$B)m1T<)&30C_f<+Iy9u%d_vUwM!;@ps0hx5ytTp((yM}*UY9mA)mCWRt*oy
z5$A~wLd)M=S&8#+b+UINp_cu8HMxC4o5ki@+FQIzx7S5@y}#3zwrw7_8{4J9R7*ML
z?`a25(1401c$6Di!~sDaX#-V393MDReXc(Uu~aFilhQPHId}eiPZ^ne{4Hp5|IF5N
zf83TCFyIMA7<5}T1jk~0jr`S|k{@mD)P0-(G&ZiMToSMVe|&tJPg+%}d6dZjA&x>)
z+4=3zcWn4!LqTp`F4Nu|qB13tcuq__9SRfmSS5oYHDJg6+-a@g1$Gc_2DL%Mr4LE&
zY-$G~eOtAvx_`MDy^t8>BeE8@BjkgaI|VH#2qb(Jf9@ETFgZM(XGrg?@>^TZY=bEz
z&J98fp+F?UTJ_E)5tdRDi*kO}>@lOL;RRs~Uop#;#at`~#`wk_XN%7>LX&Ej)ewI~
zSb#<>=nbSQq4=O$7_Y8=o{$>jo9HWE16%5kS(V5EVB<9{!I8`2GIWlsn@=C?>zei_
zpB9w5S4k$|b*lRaprhe9_3~F7-Hs#h762AsOBm=g_&N%|T<Pc|_%?!82_>WNWPf2=
z#&>x^Z%ov|E|cCS8Fu9E?gO$x5p;>ZNi_?XJ33|_8m#~N=BBY^N;@zN!5KGQ>mC{!
zii2)+yF#h#n&Z5T{?~@l`-*K#4W8b-z8wio>b-jRHY898shq%^?)r8RHue<e>;w#3
z*`)||B_&@n-uVEGxp3<&I~7gY@<S1G8oX>|U&qrZn<uU?q><|+wCJJJe5Q)B8}b}{
zn6X8D>;X<UU<Qn-AhLrVaLexVpxQdvpTqYU{IFx_ocW3h`g(ese}7*dsFx#mTU)Tn
zInZfM!ncv8!Ja%T;0lnb*sob&8*1-f@D@s;DKQ721gS&}R7z#h27eTJym73`QWR}&
zZ9aVE%0&E2J1cJ*4n=O4Uc`G*hBp7MEu24R-#-mo7O|Swt|i!doEDYQ4@99)f`M(&
z#omrcO#>InDbxJ<Ep1zi7O2lTzzXmL*-t0v4_<h`FnK3Ls(4+AXV2@5@!dmQ7cd@i
zEJ<gcY9Aq{WclYkYK=mUK^vX~w8?`!tiBK9VbB~UOz^ncIxJ2gTc{z;W}{2~+G+F2
zYY?>r4M=b`!K&#L;3nSTq<pWd%f5DikrH0lr^)qBMaQ)v^#U5P*>yjP(#*_En730)
z3Yy=5#xnWg%>z=lhpcVH<zr_c>XwMT7aR?l)d<!G?JLDMrbJ?MgkUwn)(3pAEQ%MA
zAC#zLkAeGfoJOckoDv8j5W~5Rffs>s$ny52OyQ#o<-N@~=Vyunj%Fil+8Rq`SqO`J
zK@98_cChMFfT;ZVybE&`pcJQ7H+H-Xu}kcu1?}nwXAF3O;H5_M*?)+!Lw3+|La1<$
z#TZ6fPA-67$5YOD@SwxAY3bfYvQVu!PeN=-!7>Cg498V$0E76nhqY3RKBDa85D0RL
zCld+A1RaAG?WU@6AXs*gk(`Q8sB!fKZNbh2mjshPPt!%TE^FGt8&(i+m^POwEMVZm
zU~L&T%EEcbU({9T$BABost3S&k9|(O2vK=_yJijCiFb`IAKhx-eH!{t?`~eJiqjbD
zylT}1z*c<w_A<N%h2{XCWw#y!D~53vXR_wZo-Gz~Gc_pxy$l9N1;4@awl2q2wzJ`x
zgkN!&S*B=Z8NvDAp7j21e!kV{)3M+tm!Uf|V-VAap)%vK4^kR3#QJkt(AYIs8JFRl
zv?Ji3YrB|^0Zf<zg3z>_8QZgjmisvtCiwMDXG+F^0OQUWCFjQFNIt}NK5m44Owv<D
z9xZ8);(EJ*lI~EMtp!^=sCn#Zcg2c#?sc2&xP`D|u+}_OofCoKKVemmgHEx8j|%;^
zA$x&1yN-DeE&V}4`l#B>q_zOkYPSp+o6@Ad>07$f5kqr-x{Gm)vaNEAu-?(y^!1W)
z@S`3S)B^lq3Zp(_#0#d&oHe>K7=C}^3nq25l`L8PtpGxzIR!ZeQ?t0bZ5?Db(g$(G
zbJS<d!r_+rFBlG+e0+^3s1DcY6FRf&N^`Lnffd;oU+o0^C)j8G>82ok#pBS!JZvn5
zP#akrfR^y4<kIF^{IvvXqQb!;5ihamMH4BpbZ4JDJ3RB!MmKZq^f7qTJ(zv${pZI1
zZQFiSGJN*pg+7~VK>bKov-zqJ0|hz>N)-_oH<!%M2ejkkQjX}YX-e-6%sLWPoVbN#
z-tB7UUocSt{>iUOke8A1rCOq8_&{92%~jx0D~wf?%V52p3Z39+udw{D%>PzQn!Cs=
zS<C-7AEKZX!!i!Nh-awDV_P(#W<mb>NF894zHI<24#_gXV|!?Aaqi?+@#OSu5<|ZH
zSOiCm5k|h~aK+<!@E*1r81WuCa?22D^NIzfkG9_dxGd)32apG`-4O1uY0+QT0HFFh
z+=2waj~2pZ6#?#yi~7Zb2M<;PF}%Iyc@&7&ZuRQ@dJ&53OH91l-N86yMd7#f*msqh
z%-{;S^wQFMwr>wO+!LE%dIK|(4XJzv5{kN)rw2#A2xO+gvQS0*s(BBPiVmr4-!Kxw
zC@I4{ZU9^1@J_><s`tZTi}vK5ha(1nG!g(9QlHq!L*<5oL3hy==LnVkO>80ojBNcH
znIZqT$UE6j2GV2J+qcchKMj#&VVG6+W=$y%OyJ+BgN|_zmqR&&;%Vu7I$>%0;NNSc
z`Dh<lo4H>>`xx!3y>>hWF^|%sbGC}?!XRanh8XNfEMYIcM`?5lMK{z%th;7X;JII!
z03(s4AnakO=7o<5^CI3ewE+Uu5Bb%T41E6Fr!o<HPADm!Zj7BvK!-Pbbxnzho4E|}
zvnoGkxr2irB!3_xVe&<l2+!A$a6}uuC))`0MYi(;r`{PQz36ryT?rl%l7kfTvHA(w
z{{0^V_=yS>tbw~`mH%qg`0+gl+1eK0s;&5XTDz-P!`@mnJun1U4_X1_wt{ISn~uQs
z0;5Ca@?&3#)g+8*0cZ}OoPrcA5JrOZgbkmb^)EU+Qns`3DWLxplTMO}m_msTa62%}
zEgoT=-DDD8IPwB2S;uN=py03Ae`W`pz}Qoi*%xh|sDp*Sl{=8fah{Hls)EJ)rlxA5
z0gp+Sl#uYgW+(&ifcj#$z-}TV+ba*Sr*J1%yKShVo~Iy-GOiPD$Mo&2R~B$ESkmU(
zTjsv@@3H^)=Mnw=dqmL|7gpF@ICpLxZHUOMbB06b4s)>ze!loWLl8I*cJMg`=?vU!
zJW18&^i8^p%PgnHu?jwMB;9h1X8&HjGFG{|`nGE)P<P~U4)nON1Qd%r>cOhM6yH`L
zXE0zLHd{8zD8(fv`!5y?6u*MCE`<7k^aPOTQ(6$9gFE{Iw^*eW&Rjy$!}vEXW<fPf
zd}xY}T*JaM%)hOnLlY(L!K5X^<C^eJwJ#ePOa)ZIFQkADN-#bAr{N1yw{t*N2q@V&
z{V-$3!A{#0sFlKbu)uheaxOBEA~o-3fJt&Q0%tis#cSiSE}tot7t%2RWC<{zPQ%GM
zaO}}Xn=yZr>^|^*L6+p<g>ya{9f)3fTORnG2`@Pb*t7iUyPHFY4F?>-FePvUqmrCY
z<^)0dv2ua}{+6`k7_tqaYyUt>rD}Ij>G*pfm0%gaC8l{cY)Sz_Q;oV^D%-Gr{c>)O
zC|jAz=5Z`lPshTd7xuKz?XqUho1Jn0WzdDWCx}-ED2a``e|V4+g17Q?X$cy?2b9j1
zQzoY)aN19FB7W#GkXU$mneH+73G}r*dtpUIMlzsCOMaKMrM{vYnTJA10jHgA+S)Gp
zmu69}vQWzEQQh^D)Y)@3$Z`om=SA<kx9`|9D|I+})cpdM1ppH0s4%C7wp5WDmdkHV
z%L$YrxjI48XN)`$wx!t5#vBfCyLpaV#caw1L2womUsxfa7>2`q>cmzR(vY}ad|z0r
zE8kx4$z3|npYybXRS%vlT4SHI!8l0u(f2_<kFVOUCvgcy1G$8@uNKd^JWR1v6R>9%
zmW=vj2RU$(tJ?h-Tb0og;_2L9S9%<+ydw{gn8MhK;USn_X=Afyg6(alQ5K9;!KRO|
z3I0oUCE8Fy65!lXkw=;;e?opqqmt*m-sSha`ng&jP!t3<z@NUjx@NJ2E*$P2W5*__
zD$K-x<s`!woLYoQB5O6Q<NiiNg+QEj@Zl%rp}R95er!!wn{RVp!t92uMWj-*hEG~d
zZ<DorQh(;!!V~^g{F0_nyGlGh0ZK0;<K%m}tVzb05MmtEU&&7jzN!NT&kdCvk(Z~p
zdf6_Wsk^zMVtU^Hv@{0fojR2=5fY}zAZ$hl2R<QCg^pX^j`nCl^@MG!fSv^bMXV2!
z&{d?>hJrYbDc9<2l_b*~azi7%EZ&@!frpd20-C`nA56bLbN>_5p_xj}!IeYu@+A}d
zt-lfU=;-k0EXPTySO=|@`!)=L8A*TJt0Hwy9yrzDU}J_!fo~2kBsgrdy}Ey5YP-a%
zW9rUrE+1sTikLZrHQ|!X-ga`@v?9GzUBNCW0L5lm(QRRk%Wr2F$>^Z$_X&sjaROJ%
zf0az@572`W!ld_<mLotUYLujGL^!U#>e!+at3X{rI^MIO<NBWQ=VqB*eARu;vkB8@
z?vLc?(8Di^i);S<dovGu-^r5-KvAaWv+QkL(VmK-6cWSdEDcS`Gh^y(ePwee*PSK4
z+j`1&N{mULwYOj7%%f+chLv7xtmm+<j}OxvQtn8h*-uXHIYUWNeDQgbHu%C1N%+oT
z;lU9N{3$@pFkuF8ILHZ{*7C#RY9;S?H#1>0=GpyYWs{W{m(H@d@O`S9yl2>WMVV29
z;(fk8*uUZG>Ni0(dM5`E-GL$fxblgJh>5gJ7jTL059)--B>q^h@0%cs3tNB0c*_d<
zNwl51`_6+Fa*U9@*__@ETp-46+gchHOb?Z);rRf=a5__`hNoKrK=y;p!QUw(hKacp
z5Wc<FK`~1Po)DhwDiJnIV7!@_#9rT0qoS7^cK6EUJqF)DY00?un6GLpb`I4~bcAXo
zR5M%>#6NwB1pJd;!{-PiczU;(hIX}^gh=r|Zjckl1U}oQs9bhvjG?!ScD`!t<?NLX
z@g{eG48%d_Ks|W*QkIj0kHdDlUjgxKv}+uQVP0Pbc9(2Yk1)<7+h?&kI_cfl?i_vL
zTFlj@Os~*9v5mPJ9ccKhzL(=-ZM5~;y?--a^rkLte{BLHfzR*}5D=y5tn<CD;c$v>
z`4I~t&cxO?45RXx(^B5oyChBj@+yfv5x07O@aj9>IKVFF!ravOd4R0qZ7>-Z>@a~X
za3raV?ZlL5$xV%U8Y_Xy>gUc+cl;d<HW+Pb%rSw*V01OhYxCxHjOp156z1gL{SF%Q
z^4TG0gU@t67(Xg<`PgqmygS={J~GU6<EJ)a0~_Z=<Rm%+cum6i{;#c7oTta9HdfWc
zp1)XpsGsDD@iM=XUq&xpFxuZlC73wd*Q$8$%%Lj)rl1#fY2SXQx7F3Hqu|fX9I8Y)
z4A%LKdEV-8W^_yn8mmRA!f%@%9fd<>f@O@2Ty2eecwBq4()SJ96YVm~3M1N&!yk^u
zjx>Am+z>($d0;tLRQ$8hcC|&fJf*(1+->dfNkQqxrT`_aH_d7G>*KqhW=$)ZUzj#+
zxR3PbDG0`%nM1Qf=9YAptM3*xRu};1Xw(Uy#Lev<vksd0@=;UHitPRMox=0TRfkS=
z_1*saYuLn<Z-N-rlzZyHXy9Rk<u9jtz!M0*-2+e+L9D9(@~kb&`Eiafm4|*dzjEeA
zM9brDj|!J4>y;#JF4ap}IvGPI78_hN_D<!H3!+M@&EF-tv|l|+&RK*cUN<x{5_@)8
zrZ5u(A$iI+g5pcIujOuS-)h1vLr&do=;moV<}Ked<=y&EC4-pkdLJx2H>($5X9h(g
z*5;acOf7?EQ8-*RHsinX&cw~v?^S0VI`VM;=NI{JF7UV}fW<UlN-|UJBZk(bZOcac
zk|D#4gSaU&V79DHYqH+)G=zO{?fmr2!qd*vKRgaq?_y{<`FFZO^KUJUt5*vz^t~u3
zGyPaTLrr!UW*fuJ=O7;a^MATW(x7el^1A1vUJInU7)fn;!Y;r3yv&;()qN;=BN<nP
zJ;}wb(jr37@7s+YPW+%fSlQ8;Qi#Cmsabt~nUFjKXZ*%5vd;2z^Dw9bXD>!~(z)GX
z?6=6cL$#PLvslX-X6yq1O|dWxP}z<luvl|KE~zZaq{s(k?hPc>_+#XeH|jMMl@_BK
zNEYqDb%cK-RZUe%^~-2|s=S4WXvolwSLXsk?sUzI9>uabQ9uI73hmd#Q%M5DK}y3g
z>(I9cBX?2&pG|OW^K0zjhYl+1OML~GhB@JDCcTtxsT!MdyTP#d^Q)z8ahmRzhV8H7
z7RBbvD3hT8^qdMi$53tv+9pWwwrg4@P$fjUNToKxt?c3I`t5KQ>CeI$F}m#g>*&vD
z#G|Hq@RqNEN<T)om+Y#%PCF5V1YfLsOcf|$FJRNcVmq8}+j^R})45^9ij1T=fvrd2
zi-=JG`Cx*k5^qz~Q9N7WyVS1em%5na!$<+6b$~gg`L&}!7nygpTX3Pey1HKfTk-o}
z?H(!g(ArcLRJk<PR=}3@XS={}=AF@r;I}sBnLHMOmLJIKy1>N5@igWZvyWOzOMutH
z*pJ{vg#P^s#SilFg=;ChTXi_~BV+=EnKMq8m5?AcU9L<4f7RE|=s(1>iXAyKs^^dH
zIb&Nm(6?uvU3PaiFhEtJ1@1vVHtM^+LO9tv+%$aVp7Z+tUxpa_I3W*aEk|#>`czv9
z_FjCe+F!rMitTwk<O)ED=0DX5)*AA;m{$0ci_51dORy4eyL3a(0ZZQLtz4VH#E7B`
zUxo;Z8<kXlUxE0jSVjAmStz4>!~RFu1!n#o);p*-P@68kA)u_{G3EgVk#nGEMA2{*
zrX9+*$8$;ty5o`^wu^KdwP%dcKXb~|*&PeEpJD|OsANh*w`4I1nXIiXd_{zzG*{W`
z$WYCmva;v$rayM^x<R-QFdl)a_rt0G241tGx(Au<r*7?^)1+&C+XdqF##Qlek(}!e
zogK9(KgLgO;B*Gb$c75FEIl7!JCWy8?tgK@1sGl;N%9$Ue;(hzKCNKsDUSFITia=i
zLw9v$#`7FuQMGPlce#?A=g&JtJXwxO90*94Cq``;MjVcs6&;iLO$l{5PY1(^?A6nb
z(k%mwHLtBa33Mf>S$ts43wEN(|M6o(O4=q5Wo#6;bnGaG@iFJR=w<eQdg%5@DU$OY
zJ{i6`=1^fc#^SEK>5O0)s4M-N@-EPG6R6sW;sp7>_1;HKPR|)`$FY(fy(kF1dD(GE
zJdqEtvHRR?O7&Xi<{1$f`dl}BT$XBU$nhkt2i*j=LWikotcYaKyWqC%1eG8v<e8?X
zrdP8J4Gj2a(R%K808`oX95m{F%*Xwn^AEj!GWOB&jH;n0X<Eb<i^?slX=~Do8n4or
z;+YfxBNnRI<Db{@_74C4icN>RB6hSjeDb*Sm+cPXqugJyKEm?p$<R>26$&0wKuoiF
zF<bDXpgR8f^GDNY!e~|1iMMUln=2cKpS}S;E4cKO6P>zsbAYi{Sh1z$_TEe59=;wp
zdjFcdu4-RKy&eC+SZ=?~bvzuYnk{1+3RoTI!8H&9D4OlT$7cRsbGIFJY_iVP%aujb
z#!phqWMA8ahie`K6ulr#Py&WkCyKpl)P91o1+ab5CRL4=3<PmRj$LcKgy}*+-}`6p
zEh#ZjGUMfgY+2pcxn^7fDFbXxlhxQx4|*0BHcp9ml}{U!CKvUTpiRw_hq;ER5CG8a
zG6M~zXTzoGxUbd4v~?IR87}IJ7liO5tfF?`QyMm`L%3;H*QS1fHp4C0*9GN~;qc$)
z`dk~Y5V5vs(4d54;h(Qf-@UO2bFk1!t^<X!KJ6J9cj_*`3G4IDsg_jDWg`T@Z^V@T
zYHtp0ZSH5L{PAw<j7@GQ6g<(U%01lLJ>9$U2)8~af7B#3H8oo|UE3kVcj0tSF(in@
zRAkYMuZ_Xw=iI*gb3(O(VNW_~jg9OVwXPr%sL~E^Za=l9lqzniHtOFxxA&-Ip~X0=
zH;Yw|A3l7jdh?9)v+uSaV!yRiVfsL6u%2ZDKmwpnd7NMPZEVW8SCl15-@W!`YAw6I
zhwmRWk0@nTWXl{<Wx(}&n@={>*S8PoQ(SDFu3701(7?SW{5%Q?EDqrt7pHqkD%Y1M
z&HgftT~Z7TEMxE0czte>2Tn)dD=ad66;0v0W2Ph;aEzKqC@M+=Wb!Zlp~wUVW*=K6
zw>XsF$5^75jLg}Mkv~pB9_er=t03xG#bux-fzU}x_T7wgkl!xFS9$je3MLhuJx5n6
zFyR!Hwdo=MR^fq2C*wMZYm727Vu3)B^|zZ_{`M;vwc_m5@r+>Lu+)V<T?DmJdfx+P
zXR<Swj@(J4JtEVq&3S#xex4z6?yqTFSx*>VRgivg<nvd9f0tfglh>wgn>MoybS)D+
z#@xhhb_K>qVT%f0{@9lPUHyB$mWQw6Wqvi)$v%YMJi-jBZOX^zWZ~TY!TUAz#oMDW
zWIyQhb7n)JrEsm;qg2cEvww%Z`MQuanBK_V0bAg;WG9v%(*hw8T4U-D)`IjAtj1@X
z+rV`<92_#_m~$y3iSrgC{^5sbq0qU^G6lItrn6LWZgQ)ZkeI_XgI1}w;=UAMyVzfV
zmbm##8dTBN{7LRzD7C~u4+dmE;;0y2K$C!t;P~*+;0{+mgVF3sxiZUmj-`kBNGXOI
zAUS4C-PvSmOuX1(cpg)T@7wA-Ub(`_a^N3XYlShp;;~)~ehJlPD@dm^F>%N0rm?;H
z^_!W#twpQ_Cm@hd{ZUUK{}7vhEK4H5qVRVi0}4*sn58!iYTkHUjx`fIip}xO#y6((
zxs1@eAY5&wXAi~q?563d8{+evo7s~DfDTysvdj)eDTqdAr{B-%J9bY%z@wy;1^6&C
z1T>BPpg~7ZCKp&`yTS{)8PlFDNNrJ(YDc`XXS6D64!YxKG^;@K89-2Knj;yuVS1cP
z_QS$_#_A0d7kr(%tYvpMBvow!49u1P=!>lw6ino_BXqQO?UHYtnz~gUJ```e7NZ7E
zWCwXx@Ch5J&``PZ>_vjp$OoRLZ8ZES8wNYlbDTS-AHsrBfR28eZuV&}tI|6Hq|PQW
z3wDRd6X+oXsgY@?y&Igk6oH~enWPF!c^>gPpAV0o-fj{~54a8D14LUcQalMNm&&mT
z9yOmlcG0xrJA^hIWJdsqk@z5S+rA%9LAvjlfnGO-Rq&xU(|ld9>)wCzbgagxDd)tq
z^=mt32e4c$Z-&(s>?S``9Sb;v$i=8YmcffI2rK8k>G8-ucuJsAA^VL(Vo#jd{P$0{
z88#-#>@1{g$YP}IruyDY63~pJIFhW(P(bLfJM{U;7@-1q1|V3e&%Q1W-RT8kv`T)7
zQ5kZS*}{_z`%j)c8B>|4WjLGvYq)r^w(YwKXssqSs+_*T1UA_vUqx6^At!-!ryF6)
zz7e;_Rw|3GC^K`9T61%wvdl;6EeAVhr9M>HbQel0ctl0f1pqcCiZeN+g-lTeafZGI
zyQuLccK;(o$flgQdoa0Y-_cM1^O?{6b)2&IJx5h6k|OT6z05t&4Fq|W9cgY*b1H^s
z12uq6<a%i}f5sjiZ1N7T7x)6Z0kS*$wSy8y{79NI4^LdcoAKx{WCPYK%WvG?vpzhx
z-&wmAg=~sQTa&%VQh_y6s1bPY_fbVaI5J7gngbY2X5BN}YI~`>^y->INb^AAjRPmZ
ztbqqEEIS$cA!SnMo9C82gP3Sjb1MN@_XFq|U_t$w0v~pQ$ud6Oi<X=WYdLEh^kSW?
zTW}18R;Q3{zFI2|g~UruYw4)(q%>Yd%vrlwE);SEf&ah`XU~_I9a7_#d+Ffyg`l$Y
z=r#Q&!#gNukdA-w6Yqne*at9+XNR`~T_e<>9wfM-7Qt6|6hI*^=SLCPg<J=c+)0P~
z^AJzS*q*k4nRAbPC5}0CrRCgD2qI#M0zJ%jn_dmW{w*{Lr;^*_8rEUWl5yi_43!b^
zk66v-bQ1hjd^#5SHbhQh)JJR2V7Po#saOKb{~Fnv@w)4eZf2jVdNCHE!h2~xt5t?9
zh<0Dh!fCgeYmZ}}p4c5o9%(CfSOGXfc$hVMKn%66Sc3^tw)o<aQLVixtHl;Yfei7N
z7?BJ<`bhX9QXWoRnK!gx{FWb|bm`%wr`_tDXE{!-L*nuO#00m!3q2sT44mq{hxs>*
z3ZX!tVmo@&BF%m(KbBf(C|U)-w1_01+SbHP$4bqXEN;JT#s@tKDG6V{q0;?*dq-WD
z-P?OKea7q^dWS!JUG!G}@CTW<z7n&fq*aZBq$EC^dHlF>+nfo5WRJ`_ckQ8PSmo4^
z;gw%*t2sTHx+>xJ{p<aV&mX~?(?w=L9ej;;ytwu+$3FjZ%#8|GET;%I_CvdJa#9a?
zjzY^(c^tjOKk6@W36+9+iQ3lAf>6Um8sIzO(ZjdgB{4+i&pnH6X>y0pJ0Y=SUa4W5
zesYm{`58Daf&BG$uG!2@V{pn^m=%tWyJ^e-Dd~$Ddo_3;l&rGYLylK^Shmcj>t1VL
zgL~o-mRVUwW0;lbi-3&mup1&KB86~+02$!q1@20TEH+|R9d4!LNbm<Ui{h97XiO_n
z3)s_~a9FBC<L=fTX3>^n2reeyFbxPtf++)CX9Cyc0y8z#-hoU;gqbHy<0I9Zsm-w5
z=?w>&4%pvd-XPh|8$8NBJuJr#Q-~Yl_IV5+K0Jv~Cu}f)1B8>cXaqRN;3SldgP`k$
z0>!=x<+?_&H|HqLx}X5M8F&6vrEet9;L^ar;2EqS0Yb-lX>QrPSu7)?RuD4Q|7g@G
z)j1SpfC`jXy8)2av4aMT<!E)h<#}_#^CX@<1YKcCa&@|SyN~IL5J;Hcqgx4tdkY@E
z94rp&mw|Nu|2ZL@r&CJZII3+*V%gWPPsy>V>uQyJEe9MLt(>H6c55;_w3fpWBz5Y>
z=FW>S{kIA0%a=LKj6`9A{)mdKuc_-IsJRrxXI_mz%S1zXp^%}OSPCbao<F)CvcF)*
zd=`ih-Ju{h#A(j~j~6%(0TF&#M}$e3DoXRg#Kl9nAe3jA4tJrE7X(!X#FbhV<T0V;
z;C7Mi`)IxTW;d8k6wsE$)^7oN!MboRNt+^Gr;!ngY!w(3Sc#kmL-P!*q?sXj=SSd_
zp;%z}aAqVp2OpyzGgGl*B(D1LJLcCNy7VyxNB}TlRx1|1k<l&i<i|roNF&kLJU8|a
zHXg=^>cy3*`}gkEi*ahB(m~67Bs~<rl71<wp?1rE3lZOw+PEmeWWXeXI5c$wsFDI~
z0uB;s<niM<Ocm?i8W<QEiQR^5w@6+8(J21(3Il_weWoso6ckeON?q3OZW59m+bO=7
zWIAY&y+gYyl|Nh&NAY&}`LsH2447fGl_)UZAHXV{x&8OxVhMPI2sPYP8S&Fc+D2L`
z!QDVQ2_H_=aT{EM4^>s!@Q<Nr8cI)(w%l&eS?fmlLy6$d0S3MVCoU!^BQAyh{d3ew
z(;^c9cS1sfn8l796EH_+62oA^VOvA1&J9~=ZC%UC;M)8Jw&llf_m-1;L>Zvz^;4DS
z&wN@_aJdMaJ9(kzkfJPAdh=Z>7-ES%45US7_qBIBEW+pM_U%H*f;|RJEfX$1lqZIZ
zM%1J$YQI{?M%uT3nxrgZV*R&E44%+ldfY^f3rk>}-@J)o!9@6Lq1Bry8N@;xbP}Bz
z3m~kSXdOVAz#bMCwK?R!$J`g1O}D_0o}QkG49z?ibY8MVE&1R$kA~^d?au#MSj_2z
zb|wNj6|=i)#-ZTg2Yijf>+6RA`O*o|uCZY=1Js)8ifW1`X)v8$s*MR<KBifwfm)|n
z#0h0nAaHQjSy(6)Z2X|dwB|e1K<WYAK(ZbAYRbW4qu&F{ANT!h_U_%g0)YJb_3O_N
z#Db^I|CE+Gs6BFM!M-9?Mwr?UKAdy-p@*r1<91`eIm4qk<$Td2Fn5?!9<<5I86)`-
z@+%ov%n)Jl6S1TR4LX>fo}T&p8fY<axR_XHeOtS5VL#x_dn_B-s;{4yd^^Q$fX9KH
z^n&Ghr(r59oVf%x^E?CjKUZ=&L~e@xHdX3xu_foaMp~)}G8T{8!fU^k3K~)qYJNA>
zCCm#&%gyT@PR+nGAO!V-?yC>4mqMvs8>Tq_wq9*(Il(0tT&lUcUwn?>_{991;nxM?
zI}f4k&yv198;}21K5&DdrRMy7*}Z#9rw^MUar4bGhxUJb(r4ybl-}D`6{J>qB6bwi
zn<1P>WPS**Qh(iAfY5*>5kltRcV|p0@vhfR2sJ)0w!kr;gB*LnK<O^qrr_kGYTY+y
z_z=h|I9!R4PG(fpb#d99o!B-gSu$Bh@#qfY4xL;Tb)-LAY_hCPK%LP~UOo@=RBV0N
z<c&Sq|K{Q(45$u5G6Lyq4vdj$zt8SFc+iQ1B<8S8o9Xbxv&AO?)$ZZoU_*G?#6lhL
zMz}B76zb9p@C%@iJx^J+041z3#*=Lte5)%eGAT<bPa=uoFXNXe(8zV|)@{~5qP1wV
zMc7AfMj$><nQGYbyS0+Ga=iVg9@m%N_PsJ^n59*f?&rE?tADnRO*kGR{iAC@$<{LC
z4gx16HVm5RO;66)ye)O{M+VD65~F$SD0&5ZDmt;o?7aCb+G(NWBqDQjF@3mHYw7Rj
z2kFqv_?(ng)s8hD%4_3_4W!zg8+tFtbm-JGQl&f4woB+f`*it9$r1zRnE;_e8cJY_
zBqeg>A>$WF+HR1OlY_*xq?hf8kern;wWtRp2%6YOSXu^Ec;PT0L~?xE0`I<*^d`_X
zL$y3&9K~|rWGX_!s=)U!W)Q$LwKpk`^eZH&WQ=7lF4>H_Snc{_MEVY5p985>aDW~@
z-WPfCgM>rPom-P<I)t0+y;YFvF}<oLP-W^d`r-+mb@q^|P#Hv9CV`^~UMLSij0!=6
z{=7FD3s;Q%a}+WcXI}_e2o_nz#RI9K)Fw>m)V+HJ2U}-bbH8YtK;!6L#`$;B0=Ep%
z_^ll|ZAiDXLlocll-L|G<S2*1kL@T%{tXQc<kaV%)?qVCEQX{xZpHmQJvMqFFQtm%
z9?5gu;1Ux%%z)1*mHg3=j2Y7%QV@MMeu={7LIBM2^XkY)>)qWy;zOFZzlojgNHVh_
zGQeny1bvbp&~c*Hm#<$<=FjiLp21~|cMRWH8yb|AR76gwV)5Kq;X8CcyQ9NC*SnW~
z`;YDF-L7xzJwhM-Od_2a!iu}Zs^Zkg;Mk0yL<`TbHNtAmI3gbRkp-fH*U2WALqX@_
zpPY+~)CUmWGjC=YWMC<ixCoO84J%Id@@-T6>(E=x8RPASTrxg}W4=Kz)wRyfdm<tR
zQ<FrXKu+B<x>$&FAsu5PIfD&-cwhw&Hxq<@rYK|(!KN<uk`rV`zI8p0CvB>hhy~X|
zNyw^Sk%TxnX-B0@8UKqx1d4colZ+9qZXG;MXB>-LeDu&^zq8hxltX6sU+&hfzm4Rp
z-h=P^i%AG$;7wg`f*&!ooQLKmz4h<SSLJe;4}?;oSX*0z?cO>%5!(m^Jqxnrtl~R8
zx$(EP<A@PTI}hI&Xn5?5?~?Lts*hDSY@jj-<qVop5PLf){fj))Kn7ov`1pJx0CN3T
zCJjn%D%R4}#2z{7m(E*J3zE;_DfKc{&;TM512!QQ1=oNw)c#&^%qT%P24$K-SQhKK
zBXZhr?MepEySl_nXVBXjR_UW(I(OCFdQd_)&eie3;oXwUT%EG^I^-0OzeRz=B&LFY
zEf%{nd0ZTOVif~+VFf_7j{$hGwKh~36X>F~J*3*?m|tA<QzA!aug-|f!KoX&4px#v
z{{!CP*;seJqJRn)y}^o=D<5&`QdInuq}su$vZvZ7bSfR5`L}pxY(`g69&w9UYnS7-
zT$=fvSg3J|UBi&_+KPqrLPJD5B`8#&E@U9*BQp>xUSz&ZXDrrtE=sx5t7qfu-xv4a
zprGfQYFh@c(#vsmpA@8)_r7q7{k*r+qYchGZ9gQN8xuTAy~8?Eq#W8<U`XMh6RXnT
z`jJ`~oT~9>kt^hxalVS-2?@DhG~KUPukT?M^(}ww<~0GH0Y83>`H~&%@a|2Dy`v*v
zVe+Q0{TUq#qRXNV`_kufh43S|%ajiC{j%lDci4={O+Hx4u#4rHsy5dT?cd*3rdPg^
z%SP4ZD0%@b%Zaj%G)2s7od=}<ivEt*MNGk^S*H|d6nZ{v^-`R=OL4mSDXr&s?{#h-
zc&DLP*8y5Vj4Rt$J-GvJ1)FdMPXPz!skU_jVC2LL09F7Hic-YqQb?!VgoyPsF21vD
zYC9qC(3y8Tb=~?GU0Wk~1;NIKlmYao=a~aF^W_^gp0;x3>5U&l0x+R!RUi22ZDu1M
z^EaC^m=AOf*HB4HN`jShAL%1E93dhp=_B(tux40z&4u?@`YxK5w)VyDlbgPt{W5W3
zO+)s9`wI^}(lym}QOlcfGuk>uC3b%NGw)ZTK_S=BPtK05(|0|3`0!nRZ6Gi(Iqbpx
z`w~=Cq(?iS#tv4RlDjmvzEpGG8SZ;B>Tc0aKZ<syg?yHW+1V=)T=47JLsRALl}6ou
z94k}WPT@37jfFFS+vu<|_T$odyuP|df$YoUT5fM|uwup83t3+vtpLOfBJ)P_Be=-2
zvr6rH9&SByFf(5)bPvC~Ge2vor`(3{r(f!RPS<qqoIS`<=|@xVm7#la(=s?3eGPd<
zknu2j(A;aflFlm(a9`2mv(qS2Z2A>lTO0A`#-_hrwM@Tl(e8Sm?T5Vn<*YKp5deN_
z6lH6p#;55uny1Fwb);g1*&#zc@FZSiQt{sws^)$gtNUqaRE5kjGTMD%8`ap!%a<?z
z{?b)TSGu33i|qQ5E0wjkhTYVal<wP2veh)J*CYG)3kOxDthkn(d_gG<Xitpffmir7
z|1`#oR$)F07Cw23anhrT(Tl?~7c@@z)aFN5Q;$DqHUtDY__(?t7ZL+$AWPADbf~+^
zs}6xEnYgWG3+WA$o~Q1ot~HDXZ|OP2i1pA>wOSm?eL%m7Ucc6g;WqfJlf$zeT00x4
z)UvO()M<PQGM=2$>t1vI@;1YA&bk!!Nbv6=Se4;ZZ*0P512926jdw#lXdSp5mwCDe
z%#xQqSCYsv=MzpJFz@Z9E=TIRt1h{EiiQezWueOuov1Krm=Q{eR}mGqEicGUO<ny-
z^1zCs8%Iws---><0o_V2JEUe5OC3QtAMnp7elnQaWvYDSTB7kS@7@Pu{Q7iUqSy8H
z>$}&c{l%7cWK5qD8HGVvr5XOX=}<EVgHM$eUeuhl<=5A_lp%!(x|!gwetSjki;J#d
zmTxy_hn=ReBcFQxr2NjM6;gk2xXWJVlZ;J32}TV1()xQaou6Q*4<Fu<c`~F<Rx6H&
z(ji1|90&UQ=ebuySV1yL)ANHwc7oQ<<pamc8}_kxoZi}L+28qjy0_=gRK2t?ef<!!
z56JbubtI=wbyi(~IPo{vS)6Hfu81Le-@VvxqRWEIZ5z6pYJ7W|A=yJn8krjm8#;6s
zpJ$cF{jgqK_ZPcHI_qCebMWen*iN6w{P6K(QTz#49@Ql`ek9jOALc&1Eb;Mo=@x#e
z&ys#i{dB*Dh1V^X3vpNzv8eskwM9l4|KRC`#<6cq&W?b9PW)WKl^4X_s+S|rDh<h>
z5#KoeQ_|s?xbF?ooU)VX)02*o<i_gaU9Uo44Ek`=HBF4YPkd~;^)SBD34Ig|wSc`L
zR?m=@01UYgD8fG9k4}rLP0Mo1Bga({3tnGd*-Pc-qN)?CJ!_TPJpJa?>af~nM|QkM
z*1R(x5FjFqK(=yH@6qt1j}UZB!o$82O6Snw_w{e<rEPXmHykNNp?*qa5@1+8uX|Om
z;@Ayw+Ocn#0`)1Pl4WdYrPRYLIjQ2fE7b!vwy+$DdsFEhBizPQ4QF{I=`Ov0YnQuM
z{;XcELyktoyxX6(bgB5kc%h^<eZ8rd^9n#;m`-DZ#ALz9IyvBt{zB92!Xcxrk9{0r
zvW}h`DR-FNvAC-=3c_23s}O1B)Rh{Kt^=yK*ozFCUhG0AtWDn5JbBftOUtPV{EmFK
z6V~VF&Y#m;GCIv7^z*u!$p#Y9)y`>i-}PZ4B$RcGSw0meS4t+g)awK8;04|l*rW1w
zZ7-?dn4N}$HQbFZT#R}7@ke2@=v-j2!JoBMmIIG1+4^e$rf<I+%ik?1Dk&M{?(Y8h
z$rGVK5@<Q+RRCV#6Ls%4mHc;#+Xp@j$(gbIrPvqtDP-(j-F=SV%?6v^@O?A;SHwp-
z{~PzSGS@K@!){@Tva5jxraRNo?8Da_GTQ3v64$x9<HqSJ+xq1!h(8h<I*W|iWpt#0
zQUoEM1rdY%^bS|2tX;d7P%rwhx;nA^TrisHg2iqLFokKWcA7+6x@AA;;J2ivNA<I!
zp(Ccd$aFpRWBI|Q=UrxcGzgs}X~FW+@!TPeJ;d}}FpC-L<kuDUPV0RvJEHq9ov)=I
zKUxg^(-G>J;3BBAcjW(Ycis;@@BRPJ-Xmos(UL?tl2Y1B5-J%*g^I|GkR+=?lp++V
zkOs0xY1m~{C?X>iQAmXr^}RjMxjz5I_xy5Q=NP@;uh(-t9{0z6K#|X9IXo#Ua-);k
z^y}Gd0rFs-Ckg<}lUV$t`b8Vg3X?PHt$n5Hc=7AL4pomMUEJb7bXn>#_^`tHlt+mV
z4?Y{a(KW!?^Ce6hzSKtwPIC)O&#S#FEuuD_P#LiXsU_U8)|;o_{1JU816}4|dA~UQ
zMXWqLJVB+TJrwe0p+|*pBJ4Q=(8VO|Ss)n^9ua;od0(Ept!e18<A)Bu^Bupq(4w1{
zvc1pCps&C60+F-zp`W~^q+}QMNNIrO+|$b-LKUxFr`lbR6BaE(_o$%j0+K|5D&%MA
zEkr~$xGTtm3Mq2JBVta;*EKgme1BfLlvy5Q96RK_Z~r`nI4hOlepScPED~47Z-%Iu
zZSIu0Kclzvg7X&?T2?;3a&Dc=e~xCc`UWG2c{WyzNIsk&XAp`R8VF@BLef5c!V9ki
zcxf}DFD#NWIeb}3y?<tn$!jm4-KD|zMlCTjH&+&F=?mVnbd61IX$rGEdKks~u0FA`
z8H9weS(NdpJmQkFIY7eU<uloQKwFl+_Des6CL+6ufj5``Oy#<ekWIU#-|m^&QRIl}
zT$Ueoc2Mt};Q227Qa{?On5s+y8PGI5X*J_1ITPE@#>HhsO|`Rq)Gx~3@x)lKm&-Fa
z*VpK~Or%(XT8jEN6hiw2kjF7Aa$}r-=oBt)stRoWSn763Pgk*v!^s0DvNqXOG#`kJ
zY(Fco;ZHl;uWeI0^p841<^p`2kEP*Si1(=go?cu$eX9T6LjR&4(-{SZgzpK|^Zh(`
zk)D2559gpQE*kF#-5q`Z!6Q|N-K9qNT_&Cgx|i&Ic<x+fd*!>M?JOoqH#I2g92en3
zYzvXWh<}h6<)H3}vuGMFDY?8+Rm-{Wj?D0z#?Jf4DXP|ZwY_~mz~lE3C>RGXtEP@^
zJ8)ig;Nh=1I!S8dS2k?UFR1wYw5Q&N>iYZDj@{Klx)z(3DF?K<N>;y`>o)M_mYQ&9
z<=fWY#aEfUO>J99nZZMEe(7;(>Fu@vL*GB&qGkHFbiYs+V)y6jbDdu~yOup#7CWkH
zyv7Ls8ER3~=0`wpVC4#*V!F3uCL`)BYVADz==^L|MkHVVr(#FTaG#scI{PXcCOafY
zKI^1brt!{cjtd!KVMm85=MK!@GP%}DIdc83mH`K@j>~S{iO`4}_ypYrMczALP=No?
zW#6ZF+Y?;A(x6GcUAThcpwdkT*Q|b#6QMjJ{*=-fZ~r31UokOrv^r!bUZocu8L2Q+
ztv~;#DLy+8OdFLOY?l-)uc>F>qX&{6bJT2XZQ&r$(w=*ED-0j#9~#i1A<g*IP~Y4)
z!*i9Q9@3$Y)RejCGdt?Qu_bLYRXete{7@!yT{W-ZSnCLAw^T6_gsqT|Q3#d*p?PwI
zvc}GkP1c*FEu9%)KKt9d+}rS8!iJF)zkcVgm2`EiDs}Yjw8|^gK1G?$Xg_O~mCGdQ
z`-d`n=klkaNoYm2_6TLDYoGEn_IL@5A({jc37m{plnL59N_-U*!66}v&2tUMg7SvV
zOY89Dy{@bKqLkmoOWx=2%MOcQn__Qqa%KFA2P@DK{Lr&^zIghad0X4X=PG`-valP$
zqWqIOIdLd}m6r=cDJ7-tU{Pb?BXT=mBLpwvQA-M(cv{+Z-<waKN@|VM_Aozod!&bl
zg{NootmxcQC`d`aOM9qokeb=pZl9FxNfoyR3+&vRRl2svN2TWTT>320DRT9qSvpA7
z087ydh~{!?M|s7%^jf<?K8&&Nytw1=O|EIgHi^Y;4!Ij%c}d#J{pc#^Yye!6OMU3Q
z_E}{Yh9z9WBj=v%X==VVBX`k)ya(p}DyDXlm4z(`n?Uu_ZVB`m`-zbOI~Ix{F?q(e
zNtj=<lH9>dxbsbl*8Ik{)k3o-DF^^Pf9@sY0gV;62fn_3tiX8f(_?3sZ;*d*Nt(1e
zJO>=pYCTFLVF7Sr5~^xx>uwS<Jt3DM-cuNYUAj~ODjGPf&ov_Dv3tk_CZ#?a%jAU9
z=`I`-p;RU(`W@6w`1c(qPMpXDWsY+F=3Q&6UPyikmGBvHB%tnt?zN%Yn_VlNGgOp%
zO+GYC+vDLe2Q^p%vm){;tExn5P-jcaAAjuLcj>udhmA(b=}EpG6<)U~vv5PSP>fhb
zkwCoAgY{+pxk&I+98&rT!1&(1Af7n=hb&0x+{PR;^9reQiZ77JrUjq-x^HeMbN%U{
zmi(;a?$D10ww8l8T;CTJy_KUJ#@pkJK`W<a#;R{bpM5!^sc~Jxy*mwtri=9G?Ing7
zZkkgRa4sHYN-d_Hm~jdr3YD;sT63Wa_a-sNwoehh58N0#!9iDZ>E8M)7x#}*n^tEJ
zhvW?Nf>)|h^Ic_k<&=5;G3eNC=v#@D{jaV*)3cL)yY=g$YB)7B{kji(YwKs*{lQ_?
z4YfyR+u30*xQd>|R5p$p54!QT)2By^?@pUwWo0!V<1}Vfdoi8oXcyH|vg1V+?wKc_
zTMp&{>ThxATfDRH%H#GXlf6`Her%qa(WmyO#x_%N+#t#Zu^hOuycq{V5K7QgW%c2m
zHVsRD*eJdKw9N+ZE{Uc$IfjH&3pGq&q~trKfk37Z(WVPYFTxVWZVN%UslcU2jT!}~
zlgYNa_z=LG78}jg73)U+VAV_T(M<Dff)8u7wV6fr>)qCF$w=GOd2hF0i?vL(o&DPg
z%SBjyZnQZuC(An_J?_s25N3<Chp~F=c1&84J}j}qa^aBI>BbNw(1k5vN<o3U#5uan
z%)Lw3gQP5qc{ZyU(C;3y2ug6JjT@^D3Lrq_Pz&_6w6r<)(-+slfbP8#PoH^TCFzqJ
zvMfz*d(wB?^hIyCHyUgSk>7lHf+QqwfzC5&0?JT3H;*Ya^O0Z{Ic)G-uXWeF^XaIc
zJ>y)vDC=w9gD~F_@`SA&x(M?>;IPsA$DSjU3;pa1W;2YL-UH$=#y$Z0xnN03LEURK
z6oM1NN9L&e6#D!sH!6A^9UtE#FRu1nn$u;~qCO5j4_cCqGzROReR|q)2C4FgAo@|?
z#%#{$q%dk!sL)yi7YZ>NKYH&J<yC)oY%H?x``yJj^5`uPVjdHdgq>o%b>hS}*<IB0
z?@^E-!5P386rln9CK(*;fQ{SVpc7)}iVgH2YDNy50{a+U3v)vY8qn`>T9T!^ciqsj
zPui(~L(%P)x0p^=uTn9{Y}e|Nyx&@1U;iKcD+1bDGochx@bu4<8UU|>fy23TmrhVQ
zey*yjBlP^|&tDNPFV3!*ePEdVzKEl3QqFQ@2yUf7Mhuc{o6w#T`u4+zqslZ%QsvVz
z*GhnW#Ncq#xx(elKZJ-LwzKhfM|aou4C9oWKTbI@a;KGsT*t)rPiG{o?(!|e#=N6K
z`j>5CX&Mm8a4p>d*<Q$<4E!+QN$+^K(wLDb(m2aR`>{Aeag&P?GH06Acb6@F%l`CA
zw%=AQsa$(@@-!P|Y8+G>;;{&(7`IWKx>9oJ>|yLXAW5{fArTQz{A7aY@rCWm%Iv1j
zeSfJl42Ic;`B?DRTP{A4(-s9el^n?~n0P=#x82L8ECGQr52I6Hx{PgX40qA{>ci9D
z7-y{$o>}0UtUt*2GJHkzh^Un3;~S<l>3lu<c4pi3zFK9WEF=~wJ~^S?*Y=bhI<$bv
z7qqto0&)c0JKMofNvQ)PB;h)jlCtDzlmtWE*~+&j#s8x57MY}Un+xd#V5m<h-fC;)
z*|hw-|EzIE?|<w5s69c4D-7Le3VAq!FF9UGYJc~^<5xUFBr(3%o%#<z4mO7kW7h`u
zOHmA^Y+(puHD$_iUQHwBl=hYbQa`;hn%DF<&OAuo$6(h{#qD~Ry-)^iMc4$%M9f&8
zKCwu15Hzhb*LB_9-Omxd^eZAROru#-u--((2xTn32{c_dU@`(P7NP!vQqcKEh@_GT
zoaDHDwluA94=`CdAR6P!=<$BqsUMyvOIVlQm@T&^+s^jpzU#c!8yRbt*i79`#tfPs
z;6V#}Z_RDy)+0|vj&{wEmX-asYo;K>j+~LyulYl#ekM2WycmQoh=PG#rp#u0eC{95
z#{-t?<X<=PwjXkBs9C@Mrnfuy+JJL3d@7-;jEu~aR^A(B!n6@g?9i;(*&R)UE=nL~
ziSq_7nbjG;GlsN4)nR-qs#~JrLnwJ84jj10>Cz5#+emoFFd=mE9~vhssvm+b7lY$G
zI-IlR+NGZRJ(eqc>i=^{?Dd1+@2+t#311*Dnf(2;aO5SO67U}NvF&}N^j#mtjtge1
zdkvosHBQJ2*Q-ZV&yQEiWrj?s4R2Lw>p|XZ*N<CLYT@iFuX923=3hnq^z9I0*>&W%
zx-DI5ZE4wg<QJKEdtoE{sUX_y{6eQ4MH0*fZQ{mmzq4P<A^MBp3!%>jPoYf}?pAEu
zHUF7_+(cW-Jf|EYf@r-%LXMr;H$t)Qd_8x9z*w0Mh!`r`kkoMR=V#1DmRQWZY&hY0
zfYC|z$)BvfhFPI|k8X>1Sjb1=f)IB-iwBZ!d1XyFaIAG;duIcKd%K4US5WV-O%34G
zK!AZf5bMN#5Bm)lPlt*^Gdg2NU|d|BUXg>!q(le#k&DA^vlRB9_t$ysn6l$wLREQY
zd=f{LXyTa(tzNb2vGQnm5Ou|`4j+t&h)Ml|!7@^u?!)%ODab8e_TpMZUe35V-{ewl
zFYnrZud!#hZa0}Tv0?BJyTL*fRwuk~*7aj@6odgVTXCjz_>X<$%J1N&91AN;Fk-1|
z4jHW1IKO)J{J9;Lj_)+()cR4)i%**E)p?q<-YzSQrc-|3{bZ_mF`C6gkdFv)W4bW?
zwl-DSCx)?bCJwlLY=ckt8<}Xr?O;1K=|O{J?DC&PJYXJLUA>PXHV`oHRbgCxjlI;O
zyOK+_?fiV-YDkajTD9=L;Zdv1HxW}3-8~iw7K9jXU^~D7uDp86yZTCO5N$&HyH)KU
zsRb!Kw{$T}6n7Xo^nVf$_K%u`>j2Z{_JZYugq)jWE0ccoiYGXx1|LVbejc^`fEN=R
zM;^CN5sZ2P+H%0L$i^-HuAdoa5U3dyKW)vqw8pfn(^9tN^;Ir>Ex9c#;{Hd~{@vj$
z@j?W<3Qh~fyzi%Sv!4$SazM}x6bPmEYa52!M4LS-y<E*{Wu~_8{rs9O+qWCQtd9xP
z;?5Lglc@V9(}zX5b?|BVN9yAGUXP2Fe+2CKS*va}-6YWg1I-<*d~QPF)z6b8U$FLf
ztwluC&Uur9hfUi34&?92j-WrnRbmZ(LP+*cr=4;<J!t%?*-5w(@NuXOgzq`X6RH4;
z<w-0`EoWz3$O@2<Fn;<t&{5XzKTMG6M=r&c;BH88Pm9qYC`sMpYRO%vZQSpjoWC$3
zZBO)|P)%LQ6q}%U`vuFF=Tp%c!;CZXJWaTwfcB0wd{r1fyc5g_C#{uXIJU9kxJpgU
z%zXb;bPLbSBy4iTh!Gh37*j<WT~lSauo|rSU%P=x!KZikRJI?fIc1cCUbB_7O!C6x
zlG5F|q3=J+`&Xh*VK~W6L=)!p9$EoH-fw5eV5aOdu4{8BVz+t_HzJ(KuT_69sQ&B;
zRS+VkF!PO>aPq31S`<w1^Te#tUkRIC<mRG*_|JbjPI3A2Un%E29uC;t{AC2C4Iaqm
zeLD)9LI@8NwD#X=+yFvi^=OKsm4{VPq}`nqujTiB);@mrL>wAIIfuDm!@b$6(&DH1
zT^+|b*6M_Pc5~IJ)LAK}bU#oP1lI=6+v^o?OnJf1CwrQ8?sJj~b=c^xv1|z5iHKQ8
z7N$~NQ)lQsZi+*Yij{-fj>eMYr$u|KKgZ`iI7Tq50PMJRHrocfLhJ&R*8NveFn__4
z$^Iio&<;?FlV;c#n5zBJF8$us1ly<_hrjm+?|B|Yz=xWeLT0_b1S4_ii?JopKDi+e
zIiO`=TQ3;;W`xkp2%0G$Tx(hK_n?bd@lb6BnX4#`R_?gdCan0F^0u&{k*9M?dMCD*
zGw_#=mcia2mIK!Q%GZ_zRlIz8UHG+~o%|xj<#^}IUeAuPD&g7e-Me=S{k6`Dx5}&)
zj?3&}S|Jq4o6mhejB=N$2@Vm5VZ!gR8#zuZXyIK+W%<dwCPhn!o2yx<MF_;PbK9BQ
z!!)1Mk*1Rsd42sve5JO4WT>~f1Y=RlyB5s(#c$t|@Tb@ght2yy+PHb&>=N3QBIF{m
zyA)3%R}H1!T`Z)z%j;oet!A;@GSHWdn7%vwR`SJ*7lomP$h%W*3){)ed@yx@IP5=u
z41_6kQkX6cr?YsS;S<{Ww`CkwL}&Dr*xDD@zSIPC-hSs!Py2q7tznn<4Ib1^e#WA)
zwI!}g%CfU&P0Zx`2{kfBw-}~Qwy_b8iUtM-SS;!i5eTLQ+gun=pD_$)?sak1lZ8*E
zyYH=zw{E?@W0%9ON5w-tOoy=U=fB_9$#<wa^nc;)hhN|l&NngO7ibVmYRrYF1L6h?
zF0N2NKxE#MF&l0{bBHS&hS`&#2;dt;(E#p5g@6H+NPuKn1w0OE9l^vz%rvM6y6m=z
za9<?<=Z(5?>hV)6a`zuG#u0_mVosP#=+()ze-s9<p$Rf`U@SbH;uxQQ+AzTs`X9BA
z$L;h*&^5@JQBu~DPO;f_ervn3%`NHx6$)xq!@J+Gat-%gQ;EJTYhLcg#vck0Xn?Nc
z03x8nT7v0_SI)TI;`yncGXxJzYzHnadyKH4*o`Dx!#jNl--RBMTu2psQy`y#dW^+9
zjW5TQ^>2-*<H{7%?f%n5cg1!oJ!kIH(=}0yQXH#oW);RUsrScldCaW9`2O8H39|}%
zO7T#b!h32aAq5l97Py1S({{}1B>nyW>gU>6TQ8(0fPbktc6@NL@{Sz0Z|<Efla>2f
zP51bjY$wb@XUl=1TJqpQ`Ve24@!&Cs?7%9h<ScRuz5t}E0d^J31Wd4vcx4=sBI=0j
zq(fe9Pa$3lx`tq}ZOTt{P!k&dgJ<WNG_E_5(U#=UeZ}I(-8SCZ_3>f-oB8_C${?Dc
z5YA=mV)Cm(-AGF%E?>@%x;N$Hc{p(aGLur%`<uSnTs0@{r^AU!I`-E$jvp|_X@8QW
z$kS!&!%FN4Q1tI{Np>)aCcFZAsQiOAaXnCo6g$MvR*SMZG9iNP@`OgFkIOKcE%e(~
z^eNGX{u#4s7q48y(!`uAA#AF5@+m`=UbR7|CP6Y<n|<o-DF-!v<t8>6+&{-Z1?Irq
zVTyB`wz*C#yA|zEccn>tRQ^~D;<Edf%tvi3Y?<cI&*QvMb=IrV9K%g?8w)>}H2sJ}
zg<1zecp)V_go1xuHT^XJ1@<#+`S9Ub!B>Vp6A2lHz+JPwBq=Fr9C9FlEV`AuuV3rC
z);BdbYi_=E)_u-wQ_p8JV*lB9B&6bn%3z&kH!{%*oVg8=YB36TaiR+8xvlJ85wL*i
zoG`d|MIv&8UQGAnhxTQEBn~{Ua&r!Un3riV2j8W8r=n$rV?VP|dMr_DGv>r8CXs_3
zly0{E#{Nwo8dWd2b}}(mi-PR8J2<!tQ$pRrYhh<DdwneeURA}b_zo!Dgv&e7j#Ad<
z_7xd@`*+T6X!7{_Vw3Dz38v|Mw{Xgae91b%87-I0KZDmwa9p^5`dKD<tG)b>Zl9}^
zR<B7obY5~z<)iyW@ejjd#bgRtLL#1qnf%PYDGtqd$IlFqh3xL2h7+nVqCxMh)lIq0
zJi+!HASG!P`Or4%|7v!Gn$m;&)}m^&<kK0(5j%hW))iB#cx_9N9pSkSoG4T;jKY1{
z){HOavwg&n9hyobh?vA4N#^|9xT|I)g*nNrWzUr}nies$5->N8vI^rJ)W)A*@2dE+
zT2>e^3YTa|UJq)UF*>V5st40PZsqpg@szWFw3jHFzMIjtzJs&D37zTo7tB{LDmY{(
zFZUfUDLClvH1^_>fTu*9##9y$2_^HhbN5*(@0Qi+O<l3q#i*O64AaS^^@GMPyf&+|
z^Y5L)5&b_>qwo>oP{FviZ!f)wF_GLCqd0naN3eOkq5jOPmXU+Ejj(6B(O-vmO$-qZ
zY5R0f)v<$5m{RE>=qs2Ob=O}6Oi$X#1o3^@0e=YA+0^i6J?`%VH$0+9ujM}|T@UE5
zxSjXb=<{d8nXq&8RoC!nL@rV@dPP}4n*nbu|H+ge!||;V%<}t>9^HXn!}0#H@z`}H
z*bG<%Z^cP2{L>w<ld<EqXB~X&yGhm{x;b%{Eu|9ugaVBK^IXBkhPaE*zu(r}Wkg^=
zgcb)Ki{~){ZHcLlk*{r$3i#Gx{C;)4;S?%5;d&2!sm<s~d5`1n_amWFMaINf!|PzD
z6xx-+WuL$RSA0@VurWW5z}psv*?Hfcx7r3c*d^FBeba$`QkSjUC8*D^Fn|UDjPps|
zJv=!68r#cGhv8S2G|j>)q+MIEmBHEhUUMDGyFCj1dhOFyqbaz)Q>;DY`Q^NL`&`jg
zdsv`dCGP5!v@{OgxegyZ3Ej_b<9ATgOi6HCBgS?4PM7y?d}I7e?MSPC%YcoGOBjN(
z90f|o#iu*8@?&sKc1v#$`}VJ|+bpTp6w;MKKc*O><ifb?#`EXDW6QpL{>*{ghg-v9
z!-jS}R0BQ;vo%4s1Vt9Q1>`;l$}h9z<C(WQ<(hrkL3#M*y8m{qcar^Fr)RADe%i+|
z_z04qM4%zD0(iPRm;r72=g_>l%rG6(y@zvNp?K{@j{{V4V6o!>B-c=MAd0ob=U#+@
zO80_=@cH%+e~+AjJe%}YPG7DqqZ0QB4rN@`x_cbiUMlq*Db@bfXWwU!ic)*EWU0dd
zX$CM{2>0lMNIFPh7lUs}FMR}3UzEJs?L_#><K6q5s9Ep7_kNvfNe5_W{UBnX0jYai
zlik|v1%i;KJ6=+<DY8*@cLx2gs439hrj@YKc5?_pAf2IHe`RG!?`MZqfA;Ei*}I`K
z5a5Loc*&i$o>C!42ExYQuRgo?F(uEED|=>*`3A7eqVXPmO*{=a)V$WSpu6@Z{ylo-
zKO1!f3KSP)s7)D$!l7!Tq!bL!Smo07n&3ao^BJ&FpYoSU{0{R;!Kq=-Jm2Wmv|fGL
z$z#n@gIQ=8U<T--P)YdMB27ktNP(p+)xW+JihL0y0maFxDUf$R9k~16rz0K$>XGGn
zxS&KrLq_EpakoNzmzl4<+`V<hcc>a_V30Lr;#Ck2UhrLnL%YlksUmlBDujlGf$QPI
zojx!88r=!u^s2?@@4RyFa_FG?49in*614H%*&7jIcOua=b>^8}J-3p8q5(;_X^r5Q
zagiC$NtGx*Z|~||GdsmW$kVWXL+&#+w;E18ThYn?d#P~zdSCWtptoALNY@L$PIE7G
z+7;E@mwH3BsOa3)mR0krUqNXYhj@lZcGzol93hzlU$x9s*#}le220+vqBOYbv~dw%
z4ub?bJyWxa&wGBHOPCm_5F3?;W54U>@LB&DT#1^c&>Ip3`jdZ3HWX79^&K!k<@aWB
zbrtT>1J2?w8#(vN=zzb!22vpFy0id<a9KDfE1kT`h@z*2iqpF2$3dXX2@YzZmv;GH
zIpVu#WY_jEy5Pf9%1m@yzWndq-xe5=PM{9~%NQ}c<_V|MmQ17d%Q=GiUB{Eoy1I9s
z6P=@@{8G=}!L7ZMk1O7#BBi77;A&w3Fvov}sx;nOGF!MUDmOR-pP>e|$XLgm>Pp_P
z+j)6tKSE9K9?G7|A&mFJp+T}AeV4E6^(0gK{mX!wgQ;s2T{YU$?Mm1(0)Xe9;djBq
z8&#ro{@5eWW}OSiFZ3!nrm0^)?j#OTLRtmr>^r!Z>(Vg=w3q@A7uhb3va(3y4lk}w
zJ@!m@WWQZ5!EL?#A6D0}-N#eQodlQ=e<(HkE?H-!3ep~npcTOrp;b$NTfg%3Y72u;
zIb&U1+(4pfXYN0E@L=4PIbZ*()g{_%ec!f8xV3WC3r&HGi;J+2q<gp^-QC69a_qX-
z69zmw+~D$SEgTdv_Lc8yaUt0~S0eG`$^IKpFT+HH;G6uh*~#+me!Cgo7|pR8TD*EK
zRkzCU;TETQUZwDwk(DuEPqk48!N!3yLH)~aQHrn<b2hMEtDijw>1@`o|5R}I{{1hp
zEf*e6W+s=Bx9byr{`(@L6Goo0mo6U}WxXd%y3<QHe)6Y{v7mGe?Gj<H`-aJoa&dS6
zcmOTIKjy>|R=nsIF(X0DB)RsNWA;K3vsW|x${<<U<NP!7f{V0!@D&cefqE$lhY_P-
zd0?k1ZSi4sL0H?=sSo|-3gBf4@@xMI1ug+O(y>yK_df+xrTEeO;>LPR=-`g%N^z*d
zfrrR+61JgMvg<GdIo&a)W`g}n`5%z$g=%OLhH`K+M)&gtifI?JNoJ<|#0+#jD2vE6
z85LP8v1!v^+teNNaz(~F(W!@LwQFQdhMIE*%v{BNwQkDe#_i*9SO|84qDL@k*c?Kn
zMEi@I-;~iddnQkr>VXhs^xW(t<PhZleL2?5;@4=@^;RL_W+}GPFVEXv>5c27bad~Q
zmKLR=XG#;4m2-tu`E$wHVW78nAO91+s3suXac{G4TtC`y)IkgQ^c0=K4W6YT(tT(M
zo^qM1?Z4dFWIn~uZv3kt9i;lMpz~x(GT=+;`)}2u)`@Bt#v*p0lvbp9*gNm1l97A$
zk5dQ7tg-pd0$d3A!Ax-e;>8Cm4{hGO8EZ@XQ_Z^+72~AZ#!Zi9T4om1)1+@l$`}jS
zal+<bOUt3?ShwQZ5p;a-afW`$9d><P%}Kl4L9Bv6pnEhD=@d7t3-wDjbU+p-Pff8m
z72+DfbPF7e+HMsdpirsOG1q_v;B<HRM@x5i<-!i__kRAo3T_H$R>Rxzum^B{>&-=Q
zW?jL5v?q?|nW`@h7ttIFYcRn(p|k<77n^SW{C5)*<>-OoCY*M;7*t<bAO?7})fVJC
z3!7RznuWPKc+dIAn%t99%NGc*Z0Z{Sgj^OvBFsA|`8<{Frn2~J?K+i~rrL?DtD#&k
zKU}`_=V&~?@Gh>BS7z0^QY@mmIBk1*xY0V``auNn@s^G=f)TwG=PuMKGs>5@V>jU{
z@Ndf5iZ>rb=<&R!?h~G!3Pr?1hhIqx1g<Nsw@4kib8<-66M7kRp`Yf=pJ*h^ZfzIG
zvE{R@B8LkE$7a$&;2wBWlMrOSz5YL&_NAAPa;)IG=J_V$@|-PmDniQxKBP?C@IxLN
zkjSgz%X0jVq4^M5C~wDpHqM&696@1jxE$x#P=H$R>i1IXCe#R{Ezr-fp%YIo@pQ3;
zQ6U(V>o5dfwoIgpbss<U26ra!Mz{p<QPB0z{X8~YZembcTJQ0xvlO6ZFwD+cpHK68
zXu|4avo06&PUu4~EqiId&*yjg`)}W-GQqV%^(~eznonx2`rCbsGLu%~M#(!q?^QXC
z(2L#kRLakvHR=);=Z?(;Leh8NzaL#Za#yCUs<a^M0Zu?Q(8Z;LeHu7;9HI%>3j(0B
zQ4#4;frI-LXKizxG-<|FOCO|oFf%vT#6Zvg@wcH2*75OYl69;VVjPcg>IWXEaZ{$}
zMr9@(4NxoG#%vA-c=4rz=A;o9A)kq+j81y~0>>lgeyp12oPLiQD;-rV#~QgQDUZG7
z3^s~#Y>3=f=y?y$cMQ1#fC@)?o4KL_91(zy$OE|%OI*Yxo`p_SbvVT`2@1Z2<wuC~
z5tyvG`Hooz2MtJ8>(RrF^&J>F)x2Uxg{w}LP-@~kPCGVUAYX{O!J#a}hD28vIKv}k
zaIcBN+u?p~@?f7W?=QZ46+ype`9?Ww3s$9!MX=*?1LF{VFO-Vyj1;9eJYs&sh$Z;M
zY4tz<NZriVhI64>Y<C_6k=5)53FNd(R*dNWs7coMEQM1hicJuu%cW5n*RBbi5CxUX
z{B*-bSb++Ab2<(&o#xLFBxJ@Eo@ip{u(y3kwnF12xL6s<wobFRy}$UrB_(fn=y`0_
z9n@xS{aA|dUq~@{%;2gbUW+B)UH_<jSJct%O=b`4{5R-=uMUXRL)Ksq{Y4-P)G-Ov
ztimFYT~W{W>L)2#TQHsvvFz2Asiy`mgIEBWZxP?vV!*-1^TLP*rlcbzTgnLY6bHdk
z;pcdNQ=NgXd)@aJ(;U6LI_{JXnidTEJ*6TKqz|pF`Z*h-bw2RLMYOZvmN5i`JrPr0
zdr})x#~~aFcchsmG)z}cJaK{JuYLH4uI*`EOsQ$<zJ4(56?O%1Ez8n1u&kgOS^6<>
z8aC>{V*je@kA2|i9o3d<cTld&|AJpmPc}0W1jj$M!L!;u7f_p=-df|04f^gUww@np
zr7U6^F@YOkl}54t13n2n_Qy}2+(axyS}J?Jd$9-J5$874E~M+EcV%eNb1EAM)u2w{
zmij)Dva+X^eDpx8j@uI%43GgYKts=8@tcm2-!%Kw3tq%9cEugGROso(Z@B{VVEizg
z-CHz77D>1GYD@cTeIw@JtdxrJ4W+IDy*mdbSLkt-?gwF#wo-wBaU?cYG~cqa!bO`M
z$|>7P`xfRLTfj)R+4SywZ@xoMJ~Ru}TfN7A;W>~0KwnwePzd8349ti*<_nmCvfbJh
zyJWC;E9Z2mT~0$M!W^iTLBo}VbYHv<`ipw;xt87x3<}ajV{;~Q!J|iy=3H9UE^@#5
zwVLi5o4YpO!(5h3(aiR~YbZ#B2?U@gMHVeJBhbdCCXp)M{;tbLU*D8o6Lw1P-j&ie
zB1+_y;J{gLFf@7G6Os}GDe7_b5x(X^F@S5%p4qjmP(g9Wwn#txII1HW=MjhpIFLgp
zomF&I?w1g<Cfk+a7SlxrU;-tjdKnA*7~o|O&R*ZYe+NY%&@O4_mhs71^Z$0~shpD8
z{P~e;#mHxJa=ti4a*Q71Xm|48dJ$4MED%w#^Mfmy1zf`Dj<XIdH{3cAzVLQbv_eLA
z#$6~ifxkf4pE69Gc2uvE!6YSv^jPgPPGp5xB3lzT-1F!;aAC!ul@?H#R)hMBzn%(%
z!{<Ek5xl+Wcr%f9(;mdick=;AM;_#Ih^Z}x5)0h-ub-MceJfcu!W5gcPvEXRh9rIw
z%X1<8prZl_!x7oq%U`PF*2y`4gJxSzc#v`C-G_E)Z40<Vpl^?$6lXv*`_y^*uv_&1
zWD<^;FoC5c3oavuWL$C3y2blWy*|M+;WlfB2Q3mv1eJ<H=2F$p;u5L3QU=livs>aO
zu21`)qMs}?j=>-KI%TVvWU)kvP16_QnS^i9q~IAlh#!$mVQ@6g0~HZ<EqdQ>KqrNt
zl8p=u<PfA{b|LcJMMp&^3PdpjE+Q4dhPsMwB0s5QJ=0D9Wo73(B$NzNo}~RWeZ~k-
zc5{y6Xx%j@XSvwfj(8;M*hKrCDJdgajtL8H2Z<_rfVz{YmBfLIj^k3;%j=XY3<XY7
z)a(e#lD~4T*P#ApB`q3zpd;Y`gQaaPU&ZsxZQ-$l=1An3(A5a?W_HsjSw57|CR4e@
zjDL(OSV`&lyxeI3t=#$o`)2|6pB!pQ?;D{wwu&ngcl`N6k6!;n!uaIME!GkW<K#NF
zGb7Y(ZPgw0%7iCAxZL(WSV;O>ddra~{Wxd+7y>v1SBLO|_Ww%<)b0E&)j>@x0}fN9
zqLwNLq04pa2aLJhzFqfU5hsCEpppn0F~}7U@P41LXix%9%a<8Gqww<(0~NfnHvX)#
zSb9Fv$~DNl@v#Dx(HX}hf(Z^-u)n;=SgdtfXcu_#0^Gzl0UC+hoe)U|g|2Ikh>M*a
z8i-dZ-V*>OpAN~BI#$4s1W(ZCsH)&pin}`&?|s=(v(J109fglXMJ8Wj5*5)~ZMbGM
zMtq0u?v=(+O<bU$-Sq7>a~~1&7#Zo2Z2x-qR9PM2!LE%54|+_I*bFF}_e4rcT3Tc(
zVuH}Qb5PI;4?i!Tw#^ZXQVsrT?%erAQsR?y3(Umiy?k}7d{^O5%<c386oLO{$(*EV
zd7b<BE<uWSECmL@`xh>pzVJm@=Sj#$byui>&8EYqoO@-Ns5M}H3mi%Gy&_7N)1lqv
zgnx+6Lz*m{Cq+lGQG~FK*IR~|Gc<Hc#Jbr{XUW1_#FhQ^_2t9+E0mS(W$gX^_eV#^
zTt4o^B3to7L|t7(6Llst`lS$WA74EEg7tojN}mb2VMB*Ak$^UdK3G7aklG8+ADP6~
z5J)D<TrxIl+NO7@(39VH>ep0Tg_0*0wj;q4cB?E<PcqG>n-cEwY;;7fLLyhdxZ`Dp
zTNitS4jGqMJ_L!qLu;UmfC@lhG03v6;YyRfB+M-27~-%NX(G5!3CRpcP2xSNqf9_h
z4DdUIlowrJ=Ij-!hXJS3TyxT%&{tKOHstr0Y}!BalHEYwPs8@$RS&<ZJoR3eJmg;u
zxqE81aYU!FV-!BiL@r+cB*I#zrM?i3`*7DWFJV;?OxpeiFI60Y@zbWwxxP+a>|WlE
zI0M-N$C#u6TX4RMHwqn@i^V#6NWw0u7qhxNw6C)0BR^cyB}lP0JGk#qKpL~Y9l@w^
zkvo1;)6d4HCrn_vbdkFwAa0!%M;499qFO3&%{G1GG~V(2Cf)e3dhj_Z5F0c2qjYM}
z|HH{z-zG0IXdtx=4UoMf5Oa9MF|j}KkQcTjaC(b34W&7*WIrM|6>>_1!do!bpm2)u
z?f@r;uqdq83b>A$622G_pe!U&@FTEc8CCZo(bi%0whK`=AKCkBov=5#CEK-!adTd;
znbwLZ&)?+^3n)&_o~ca_wK5}MinqODdG4N~OjR1)IjHQQP(V`~4D^ic@otQ0PC5wY
z3IjjDhTzeG?bS*;w&=~DIpAk&n!=%o-e;9=l=Wzz`8eV}L~s!lK$9S>&4KWlw}0Zu
z71t-Fsc=!|BWjH)5TjEJS=Rpgsq6RYl2a~aIKha#tI5-+Co!#oLc&Ja{+}U2KtKST
zL*n3)kb8?DY0Q!&s<dr{ZVHD39u=3dFf!y=P2iQ%3=2}vpxr?DtUEzOvrZJP-6F0(
zC%;KXvw&}bcK>MmYIcwAZ5^Cpn=*LLoRmGoO>ED~MJQMueQg=iJ89j&gG#3`*;_}r
zakW>hH}EV?ZpZD~sn{`2OciM_kP$C^9>(X9@7kW9!@GL-<qHAm^cBj_`}a-NmZ+|)
za<kuQp0#?9e<zc-R#^sn-8~q!K%u$C5%1^chis6Ef--xPGpi0q8G3JFQrC!bo{9|o
z1!d1L30`u%?h`Ua7Gti@+)}^}V79>87F4hl0T?e7Akd&K5e}*}xpr%6fS80Y6dU~6
z>Eo#Sgog*qYTwbL;ORcA)~-Dv$Sfbd1(~J3zMO-W0n1ZxdSOhpXU|kSgN@uak)|>}
zu*cq2YcIDNa6&a^eXwTw&x_Iyt8QCloy+W*NJA-X>zrg|SWs8Kl`0&(ue<*H*NH>>
z1)2&6JuxHzzlf>m2+NLtk+^IZV&?4m)KRYffUKm6)mb^SqepkeI(uM#!&~lROt>$&
zf`A4<HQ$cvya~k~2%m6ikl{H@%mMcm5p=?@g2e$Y)z0UM9nVtaj&gFAy?Q@}(t-91
zcrdle@pq4_;B_%$Z{ND5RjY~QnxtSxsnZcoo|$R#Av_i;m($fHw~H3PRh7LGy!6+z
zpn208H*72PR~~EU;B#*A-MWuWnwo;XA_5fHlx4MsxOl@SXJ_BW^OMtNYQI1>HcrQl
z%}plvFLYJ++v2<P^$6?TX5QZhnVJi*Sm^1iK6+HIqP7sRE4agMs+?H=;cgGk#T{;!
ztCqd~v7$#RnMOid$dkjQLO3eej!>AHHZK~JVfba04I4+s83i1r`d;<vkxahi2l0qe
z5CIi@qWq?CBsu#`w@e*Kx@;v-nlK8MkFVmJ1_A$(4YZBk#&nP6<8yMKE4<yCsye-1
zYZ7x{$Ih_bmru?1(vB+?iQj_A#E`ks<^D;mN*Ne$$IOY+tK_sCL@NxH`VNvdKWWot
zX6VWU{Pkoc+&yl*3H|XiO=ZZt<#HO17nGSgh$@$-#erF0@J&w7M{%5i^To;emMIP&
z(7$2;!Ky3zd=5YytWY3SKp?gd{MWB-WRxX566rLBolm=^W8PC|HR73sqaz8=y{PQ+
z%g$ikfj-pp`Dqz^BQ}gV<!oLtCGmz&6)VZJ=!)FrjVcI|+uDYP^ifE@@lDHNW%BPZ
zgZg*OzL>%YgX%M%_E{$)?nNk9`!?d>JPk1cr&SnYJ8aJ)4-bwL;mj>?G_4j(gB<Ps
zDLYb2rmGfAkQ)4Zo7}6b3zjb3Wt~V9X;hNE9lHVD-<#F>?v!f63=<ApetVDk^Y@-w
z?Zph?`t|Fda)2wX(c_IDZnGI(9D}tfP&+Wkz{#g^U&G!%)R~hHraAjo4cv0!Rae!c
zlNRPF>HKqf%TOgrm#iBNyT^@NoWH2)LZZ`p@4U2~zX}(RjIcsK6LYT!yCn#5aB#Xn
z%v1T(JZjtWUY>8HPNX*^cf3(NFV=3u?M_B<exn^T4^fX{D3mz))BSEto4|p!J<3)V
zd3bt?WN49byiI=Z(W7Zmy%)D-acADdkBWm2FEA?X&hvrbu=)H@Ss9GBfOYMAPv3u+
z;5x-#Uw5-4>t^=4?*ntXZYha)?53RhQ!BFI>!Mp{rCwehS9!cDKoF6w6Pw?aiVmH5
zWbfph9xuB|0}}oDXW4{k%e%HdL%Rn#72hp>vVD>B%?CjPXNNz|aWxW1KMYmxbp66P
z6P3)&cK7U6c72-4KCwKO^t=ezMTJ#gya3$kgni1%eU{`r3sw%`6b$SqnDJw6e9f;x
zg9=PId2n<OaBOpzj40gM-XjNq?%ey^lONc}f1RMZetU1@;ad`R>iPALcj}P*YMUG*
zaEiS%mCvqJ#-pu)s)PvloLl9z<RVkQ?bF7Ev`d{<wom0oUH?%}N=kC`@>B~gpO*e!
z62;;gJeU#Bp~^DlDC_Y<Cz$lb9_HG~*La5tZ*Jby5!xEZ3l)nOKW-;*lIs{2EGsc$
z)PCbd&q%4_wksD*o?RK!U{I4H)#H-+tL$hfI5cO}|2+n(cOE7Ct(RWDyS?Yz{yX=`
zO*x>hgsXdzwzaHG{Zk#Rw6<<F$zD5QZl$nDp(W7DDeP^@@nJ|6S>*n3^E6J3V2%>w
z?N@x^HZ)uAJ#cz+7@|Er|LLYqdZ$WGKiN2K`7eZvOP+^ahE%clKu~JY{BJ!ouAV>J
zt5@lTwj1qW27%H&Rr584zM7wJ)~W+<*Qxr)E3YF^ZJ4JGHb6VMm@WoKx2@>&alug=
zyjD?B*H-@ccgXDXCIk$%C`yZu3vL$?)opP@a(KtnqgvYvW1Y4;uGU^rdg9rUmq&wi
z&X#$`M&>LjTBJH_NY&NnRm}~Lb<AIWmDR8DU4>itnH5b}H|E3~KFmZDUW^_mND{|~
zV4KtP3vd;5S)_$T<Ts5Kg!<DjFT#wSmFx8>uzIXdPrE%=4f`B^VEb%m{@g1|o&Om>
z@x{DXE=Rae%6%TmI;i_q6vjWaRJ8DX5__k@0c0fpnfl8tSJ&1aS+4ny9tjAU8hKOO
z-v;nJ>icLMS(tik9&xXJjoa(STB|7s0!y8W_53ytY@hk=)U>L`@e)ci99(@qHDC4u
zi*Y!m3nIsr?^OMYZFcQb)vl^j1#QD_A8}o(W9D?BX8<L@FLnB`J9l##D|XkeG{SWj
z{AfOfAT{?(k~<NZSZExq2lktqS;=K(cs+l6h?U(8`Qs}vlFggqWag`Wq4b2k&;0Xm
zjdmMF51Dypk$&Su3H>p+FHD}bi1zuuQ~#g5ugX^c=?<3<r*w$vVcn!=6?*Vf<4!3j
z=b?T3N@(h4XIqryJSi)4-PivmY6)~#!upjn_#L<uQh$qmDUG@pa9+^7cp-jWedd?}
z4)bSM-#)x2L!Fk-|LnCT(=r<;s#qP)#ttjeZNxN1hqP{YFO4#)HQ61S;GO(1r6`H2
z=uv&$*X-!cn_DePTb@05&>iL(&Bs<8kEthYV)ddx?*5^zfC+s#DYs_EM^GrbVPnUn
z^o@TX^fKwBy>9-jKW)7-mVI3+Kkj11o%{Qo@>|%+Co(oVH7qgM{GsE8g$L%(4*4B~
zzk;6nkNVmtpY2yLW!M{eWcLTx&wrh;yN9bA#54fru5fA+r4E_iA}MXEVt7c1RYAq8
z<cE2A@BXCMtE!c34v=gaalhNDRk3>2g~fmVmc5!aNwMTTV+7v<KmN>KtG!l<F|FIv
zS0g`D#_#Na*MhxPwl7O=-hQK0c<{7o!VMHr{a4i-?ZWgW@UX1U*JEHi5HxTa6g*%o
zpC6(yqMCcpw-q)yfk!LdcscvJYX9~fHl|zqA!VrrmVa!|T}$Z{sTs9u&Go3tBMf8i
zWchBlnLYi~hg2-S?_`F}8c{BNK+VT$n$4g2Q?3Qz$G6KN&1|W)CbgdG&tl#Slr1|L
zp_~8IPNM9>eZ0#c+*HAUuU)%#4vw0Bc(I`em1N-S$6X(I+0Cta?zmx7k0G*|Z4-A&
zCps^G{d&d6mwS|zl+51jb4<LIpRZnc>^3zbQjX)7PDS}$*sHyNz44;>x2m5kewU7l
zx_`+j__CM*(coYFPv*FV8-`L{<in6`4=G0HjMt`JA)CHb_>KQpk702@Z-wfZwLjxm
z2OlvQ=q;x_+`2N|jHOcnAMwSkRP)4L{V{6aaJ2IQK=a5CiETOVlNX%3V3Oj{m#pS$
z4@@zYH8jGs)njOkvG}n`NFscC0+1$~u-~wMZI<Zbb8p}7z)y!Q@AO&MaM1;?o=X!~
zIz~VKBdZ#*W}k0@x#OlwKX%ZCbYv4(m7KZF*01~ew+bEU+lu`gj20-A&6%SRQC-oL
zmG}Lx)75n_9Y^mv(NIk>hJ{prfnL)oQQ6xezd+|@0<F`Txc8q!hD{twW23erwn1{^
zq98q&s|z)v56;pCl~}52vgQMb8)-0)Pg<<8x3}j<4wjLb?6kD|oT!J+mdp1(u<bu)
zUs5nk25)c=Q2*epSUC+14U4BOzxX%d-B49!O*6}|YcWtaLWtCsv7xnV6cwHJ)vOHt
z^zlH6<cwunLtgca&7M7GbF@s=webCS)@#g=In=M;087**VP@a3-Dik>%I}o5vZ&es
zM=DC?_5YbLC@SH;U;W4XUECjO43fo?8}e4!^}7IZ2;GHH0-N?*^icvK1}HxXWTSgv
zz3|e$Y`=-o0Ee%bfQjagUS{+2+|$Dpao8)~Uy=E1YRZldUhz(5$xb?zl`H03ZCch7
zV(Zh)(XCBG2phe_`7f>ko?!xY0Az<lly+JB_Re3jB<0B~BD38sRaD0nDU35%?>J*$
z@lLaJ`SIhG7@>}9HS&<|xRqPcvw2_{{9}fOt0}dqzkiy@)GLyvOy&NVTr9!9Wp(y=
zHs$w>;S-cQMx|K19q2N#x2BBN(zuJ+f3wyhk<-k*V9MD64<MRTK+yEy(3~839C?J{
zHA`X@liL!K8d_gFeJ(MQ>^U`L(=WBz&H_dO;Kfiy3{P=%Y(g-E^W634a$_zq-@AG1
z);7Rz=6<{3N%Pl>S<>#qQj#M(HfdLBt)A%XUpv~`^yA>F)@aE9*ST$8KUyc<0ton^
z+?^f!>*fN)6{0cYDJ{NTb~BT|>?36{1nZpHBQy@byJ37z^;hdA-&zHkwzNSt@82hM
zQw%r^m7<n#)qPCy>{Hx9VVOo!hycXKGgBF+pXQBm4&~u6X(a+;DH#`ddgj3_q1Aj;
zTUsb{ru>e(=D9PS8#K1=ol;b%V<&OM(BH`|KI`ug##6%D34jBvQ;Mwy^QnNBkM-*J
ziBs<~n@W8$mu}A?I=b}B;mVml$80sA?sx6p{ps$u>CV2uxg1>a=#vFlYton5pgT+t
zp08)~+iZ2WG}OaPY-0hui4mR3BMnvF^lpYZUIQgMTV|EritUkZRG%}hwUbHXyEV3I
zQOpc6IKeDSN(KW~oONP)4`YEfziV(QZ|bq(&*oq4)PGhRd^jfAvqHD(0noYV!g!7|
zOTL+9^(KA#04K;NzvVoWlW<X9Utiyc;+*y#pAM;BdXf>Qkt>g<(e_jYDBrD&ZE|X>
zZV31^r!BT^{|=)hOf)vt=j+t`nb)@?1F(Bs@F~PIP`y6cFbhHjBnVmd++wgSX18@&
zcg19VgT-C>KW>I+8Y>OPp1o16!XfQ{w$n6I(`}1t8AYfA_&)g~LMo`jM9oCrUZYF=
zN+uPC*KYS>qDhg4H0lC^)~QizXB4$xbj|-3rdDJNPq$p>8~Hl9XvmPNitmX(yl>xl
z9721!WUWezuCO*1s}Z9$KI&Uv7a{nf!W6E?ESV)6a~4&fnWs^Cf85Gsdz~7$>)mI1
zAGDJgT6U7ZA*S}ChXXTXM3y)t;xgD3gQ(-_>g;p+R!*k}0yFC5*w*x>S-2}9b>9kB
zH!E%4WQHNdm*sM7AIzCs-k`rt|EiSUM%%L<-%Bz#wwwN)jo$Qjjj+<@qj1ojXCJTE
z?#U{dPqV`GrieVLNBL!YCim{uYv!;gPO~=|X(^2P+uV1|ZET2Nbn*GfhQ)k;3%KS*
ze9`xOU%b+3%)Dz`nE%jpmt-_}ac~0LhyVkatr`Irc7=pgSY_|Y;1VM|(=Mxb;rMmk
z8dt^qePuKwW$&G=lZ#4z*9_7Da{P)t72<<&8-C2EwP|+g@T<o_jejr^Aep34cx}Ot
zK?N35Hc?l%*0V6KYiG-*F=J|{r<?glSe<|bIlXA98b~q{WKWmP=#B-qu;%qFZVw1}
zg5V^q0r+6TM0`eKTU=*nY`&PoECxmq1q_>GNXyI3Bf)=`7N6d^c<o!6r-PzDIhQIZ
zbe@!(S~KK$k8L+-eg(5d1mA<U*Yw|V2Gcua12%{LX~*DElm;M^@xDP2u4gu+*-Y6Q
zIqdh)9Hqr8?&O%{*(4#2iK)%c&lmGBuKnSVC^%RDVYfE89AhGt2xcd&yjcer$>$8&
z{%D-0rU=@FLd@BM)LP^(kB2U1js7O>dYM_mo?MNyi=zhxBl)FsE?Q<?^z^A9%`+M|
z1`1;zdNu1U-j}uR=hv6}n8rs9+uXR77wHwY3K?|}f6Q^``Kqe+O%Y$>y0*X2SmLnc
z?Yr3VBSGLmV)5g!W|!lcTj)0_kBd@BR0K7gDYYg`Z%Fy3PA2cDyhQiLaU_yADaR~o
zj)YiA+Q(}z$dA#foVKdtgS6Xq*%NfO`M>+)B3QS`Sx&AzNm!Ghxd5!Zd$lqr-zS83
z^aEWIrr;*X(FFL*|0v=lzkHR?psxLU9JG<wJ-<g&Pc5kTP@84TPM@rtkM=_##@st?
zH8=lAhy=VCE#ZrwKt>e2E5jEpzd-U(pJEbOh{Ialvr|9Uh+NLmb1q1KyisO+wQt<y
zrJ8@zcWa-SD+U`=%N~IW9tZ2Vw4~^ezOQ#$bS#`#54c_6+cW6X1?&y_%+&StysVg>
z*E1fUm~qpi<F)mjnv`@@TJ^Sq+Vi)7@h&Y%%ZJVBy=+zQDy1w|#aQg6Iorqkk86AR
z?+4?GDLOM(hY?KU&1s!o6_JXFDCr;h=U&ep_9;+aUN`fo^(U2|gm81dd2ReoZtmlp
zfB?bq^U`->#}Sn@pYwZ=j0{aF;OnY)XLGvlo@)B}@5ObwcXcHtJ0`9BmqkLdGzm5M
zP?pn=!Jmp0_cl85d3(-^&4&9nsXyoblOomp+MK__V-CDNKECDcpr+AX$0#aBj_9OW
zC3;63D7qL}E;$(0sL-+hkr$oM-g?&78U3d*@8Qd<t7CZn&oY*6qkO-6HxM}_r)yT*
z**N70)BBn~zJ+(1-V*T3H1<cW4tCulwSwWHNc&u$x!qUHxLBX*8-J;x0585Xn!83=
z<LIsZd;=<*(V^Y7!^Hwguls2CY~^voh3cx`559Zv<MTzT_~=tEJOOTGx3&6B9pdBy
zEXly0JF^1fRn1Rhi%A1J+qCa+eA|7H`j*+I85uv$JE)N}t0ol53T8o%;SZlNkfqrW
zYz1(B@3vO|sV2+FCC1D;<;&qO@8T`KgpKKn%TuybROOQPrb#tDR{Rra)a9UaOq-UL
z)(L82f%I{wRGb>K3}QOxS}t7-7~Rwb%Oo;-&Ky{x(G?GrBMORrTQ#l=XrI`6Vc`X5
z;+tQRvMx+jFykSDn9kbm*tv82rE=>Kf^q}&9IAharxo&6S27}CXL}hR<Wxzhu?GwY
zJeHfhEvlFA#(^s`M3SRW1VR*J`f$7#coGJg-ZWVZ!q0wRGbhXLtxl_y#eh1u!zr`U
zv~<#(i+;wb?>cshh6Kbl|Ii1;gA<{&SBCGAwfps_+oK+~JAO`;jy!(2(ZAFIe+s7)
zao0@~Y-hg=4?RBXo1XHVIZBtl&HcyiUFqtcw>Q;pY}_Ikw`b3~Dvy7EVd4eVs0WHg
z?+c@Oq9Xms^UV~wq-fU*ntO-6G`?LmQ#auIka+E?OW!6Qk$vga#W;6b?6sB`vKD9K
zw4$#x-74#mHsli)9D-vfCl{+YQ6X<yqpF(R07=RFhj|9^hC!*773Q;|A9P*bTyfUR
zY>vd!9)3-$8&_#Bd8u+bUJ$qP$pyJIEZ%wSlV$t6D<ABm(5KJ4n}1v2@a8GrQw$V!
z?BL5wB?s)=a;&;fQ>ZLZ_2!KudVhTI<3`a8uR=4E32<BRY~Q-^Oz}?Brm<f$U%xBR
z6~OSh1%W-6_Z_LlX|u5HrWs&S+ltWJnOK8oog0>QsOwSvjXTbq`Ie*NMicYQ>$&pn
zr-Ns<v}<}be^O^9gX_WBS$@POWCu*OB(tndu9J2ZHeHYZzFKJ)r5c+0@v3i0zZog-
zB4i`|W`8bD=)k4bQnG#(ssRXB`^Eu87Pk#vI{yB|)rtz8zg#Z2at&Vd=f(Lk$KF*X
z8MEQ1#*8obu~*wQ;7!8m0h6XBWaq6sa>AzDlof9>Cr4{q*bbS{=YPgSdta1TdX|3t
z8!6SMJg&p{BOPk|{<OB#AZz;JdeBaJC8LEe#pyjtR=zcU7B5%qxqtnjN%OQcOWZyy
zXTQfP{L%{N8`(uowCqvSVkhqNa2n$AaA=jceY!&OyOfFc4L!70mhQi}xS(Q=*>rRB
zilSq-mU1`HXM8qVCI4PBf;pz~%n|2C|N8#n;L+|Tg?kOwOzPjVYqHb`vM+D7MNct=
z7|PLgap6bn69Z<co*M74cz2d_q=l`?qbWaX&8r&rYCcbV$xt5?$-i-Vs>kG*LiHS?
z6;fT2rjYVE#P-bA($KmqNpm7PNp7`@^NsKR>$q8N*w?q0s{=}xdU8hX9$GK;MXjC1
zv*s!#eX07khS%M2&EC?cRPlCbUR3mH$IC+X)mrE-eg808KM@VX%zLk6l*N}9wr@;K
zYtATHM|FQ|o?6m7U<^vL8(aNbl3jBoKJM=>tP1{i?kTUT+BM35d9u^6U2}6@UDsBU
zL+s5Lm60oeHZdpNJMqxo;fi&-3exSU?rt#=?ueMbqw(G^UwYKpYj1m<u`S+h);x)h
zJIxj0n_Gxj8ao?Dd77_LYrj9WAlItB{O3dc2Ua}q-_duZtjWowF%sK6cJ{l)h$xWO
zxXor-#A|e`w>S|4)xyG-zKML$F}7dgv*uaHF3Cq&cQQ`4J9Xe3IUXj7_J2os2L%WB
zfYTz4n4**MURjwQbx%Kb^!-w|?ez->iH?YB7f@B1+S)!2P&^*8j-JAqSwrlWj9u~Z
zZZ4)->*hrD2VZJ0KPO5<9TP2MY`*_acW2Jmp8(x||Et6{huPEj&W)NGFy_$|PxqDl
zabf+_W-j(az(G^Ls<$f8nc+){aBpZhP{MGH6v>pxT`beREgmPG>q-V!C+wj_F+%s(
z8D9pjXiDAV^to+IA4OR`0kEgqy@B04MJl49U4$NwUs@aw6Q%gHWBqX}W2B`bEaHCy
zT0*o-OJl^1LUTKM^d-;9!|UvTNeDxd75*!@)034!o&h1T$Ec=<S;W}~nr`J+g)eeT
z%f9I7owxx|Ehb=)jg4V=qcPuT`Yy%sRWL;V`=?d5dz>p*>wo{$#VHN;`M-aOYj@0U
z#Q*(*jQs!iztDEJQ{xZ})u}B%ynla_tHNsXWK=f8=o7^(lSy`jb(>#{E*3NYTMS6h
z!E!_`!#oVHpmC6F+q@(#E&*B!cudfpD3ShSnu{b!92>(D65a=>D?+>CVlHPu4HCxv
zNM9%N>;~(suz?8G`tM(&p)u{^I{d-$SfoY}ig+;$BmK0^$sD3E%4I6Tddz(wE8+HW
zoH~MGs+hr$LDcFs*228ixno3optKzvbKMzqN=cY#9PB|=+iz)cvcij(FS}vB(_S8p
zjUBwLK*mh1ad|RBhKz=EW>30tKZykX`!;5Vwj??W@BQ}j)UpY554XVK+N5MGE|r5^
znKCErXe_Y<scKi&bYGA;H8^KpM{5vp1STgZx0&A~>2(3}i)}=hNpz*~B1&qz(0vPc
zk8R)<5?CfpevuQ96K|i=Dy3^tcMnJ#s(1*zJkF5x^mLI7nZSlHg_1YE+Jyr%kS6ud
z2u%o63n(m2nWJlYInp)<0uOa%=1F+TQHieF+S<3^H|;1cE^afQ#wCZ(Oy3=CcVhnB
z5y`~#ci^}a;g#;-5!>+=V1{ayAjrci=r$+5C<d9V!DkKTJ-1GG2aw`{YNC<jcM4Sq
zt^M87(!o2;kELtCs}jotvoz{i!6Bo%HFtGw3s6k5ddt*Vh@A2E6}br_y#N#dWr6t`
zlq&!8jfE#3>Y(PqToU-MAwZ=PnxZfv2kRB{V?OE(fbfdCHX~{9`*ONMAyn(rrw@H@
zF24#*=+VE&EP(*j*gwFCgrf|@L_uSK?67h1H&DIz95uq(jP{*^>H*&lvRf0cf53oy
za9@OrD1&+ddla9U+YozsN`kG(0wuft8aNtIRqo4|(Xc1mcpj2Xu8M<wI*HSduB9`)
zZbWmYkR$3dNBq}i_NA`I;*U(-{2aC8@?8b-AI4e{)v{&y&^@Ta(i$LYV36^MuOPx6
zI3-(E!)mkFLWmGiyrAX;)yFW6&#Yhgw=b3|P^Sk#fubJ0!%uDX(GAC98y6q|E_YmS
z(LQMx`e9FSo1p>wLr9TXt8LZZyDGvUp}@Rx2h$Xtsi>CIZ=#|4T9yM=^jqjZA;B~k
zbZ#gUalFvJ*@Ob+!AQdQtrWUzkY2HPI4wS5P|`HpLp%hI&n9IO@&xGyW+R;ET~KzO
zH!N~@{|CQ5k)g}BA@TfPj!Gqz<3rlZ2UF%I(RepyG{E5!a}?V2)u4I$y}CvO^kD#v
zi>UzAa3#7?P%y39uan6Qo;-h#@T!2&7aTCPfN7%0_;tFn>^{&yS?!~bcll3^NDA9s
z{!R<?cZ&Tk&)f9Ij+q<A3M(%V!lsN8tj8b=(uIk^XWQ^@&-6sh5nLgm!^G3Xsq8RO
zH<0^<w1MkQv;b`}M-&y?yv&bl3?qmGQpk@VKjzabblTX&cu(|k0RC`e+GdB1Bq@70
z%?0rLC!Y4`$AbX)-C>IWrPiY?7<hh%V(Ep2ce^8Dz(U6Ba$VOp&_cm`5_hTS6A>ci
zdDu*zoB&@7M}u<^Q8vk}eJR||SZu<VipMpxLUWgAE>A?P8_sFL#qTt@oM|RGJ0XnW
zYT+sjIKN{lOFkFYhT#7Ku@^S{rHmDr0^9%;19xntA__Y{Nq!i}SvB?EY?>#usPnQn
zMI)z2tF*6u_+kIu&xwiT*2N!rw~E)3TelR;%A1;+R=50K&R>Be$vYr)U>q7(bRH|V
zew+tYn!R@nW)4T<49+k>8quj*)V#?7xfQ*k;E9x%n{C>Z`RQ&WsY(4eyoN;tIn)Lb
zjc4hlkx*H9ufc%TBwXL!6fXRhR=mx;&)J15?+4IEA*7}6UE)&_BPCEUG2#94v=b9}
zY<$L-^{7p3sd@M9TRvEsFTrcT)<=v2hLVZGG|5)Jd`PkEPM&vt#eFHxxFF<eqBa39
zWb^Bkd0}y@#=EP){eyl`DDZfUhd}f>`PBFBjxUfOh8;Z!Ln7xhgf*vq`E!q%?`$7F
zO0iBH4Z}nPH;=rW<S<x%uvXZe2Y@KVD4c$~$MRx90cX5mhiDZojj)^qKtktN$NA;u
z^JpFZ*H{G?aPU%O!g;~tZIZFEal%0TE&M&5dk+zQQ`{@a(75pc63P#{Ze9Q)+sUQT
zqBV|s8PGylzjW)-Ll6LYP4KnNiO}Vzs{f3rU_A+Afd9Bb-~hdi!M#vdb_cieIqF8-
zO$gsW1Qvq$0-T+|7)gMw&^2SYiw9aGf4vVh5sV)tHzlWeL}cVP=A&Xo;?F?QIACdS
z$;(fCa4`Zg-3c}ThaPG+R7Wz9#9BR@-JEK>hU%@J5rcj9CSQJuK{n_cN_7E!<Dy}9
z^rHpJMd646w4kh@&<+Ly2iqi+VSqv)2WKBA9urs?&k9c3N6uMMlTs~0vdV`os&U|r
zWK%_BO=yz8J3e3osc@LuPGOb4U~CN)-ksHh{|je-ne@(ssmvZllq`gM!3^ZWA=0WZ
z>p77Tk<h#x`TC8;@mQF|k^1EAttqf}3Vv~8@>@i#0vJnobvJ0fDPWesZVPy}M?mHI
zY%{JbbL6#5;xQ4Ms_|3bRTDn8F!B+@13sIWcXI6rHYJ}+RMZyz+@6!pCjoWl4iE(+
zmjzHeh0Ou#i+_-<P!Sn!IBS|PAEb?%h`8K)H1N6`f2uOOSXhx4A^gGMJefXJ#rGXY
z2jsE<itVsx6nFDs?d3063SnVkN5~U;T)*i)v%r6motEztsa0V1R`UHg#%APf_Q%R5
zRQcW`0)C*q30@^CN0Cn=PHd)Yv}{i^eb>MVJX-!20n<$=`0T<W9Nal|DbS^Pz8Fgd
z0@n|i{7oo%2$U`0kP>LG5afXU&AYyC58w9Os`sY*tvwPd5uv*(4E9+$*6;T+2y5na
z{~}sUc&RY*$2UwgDk%;Y2VRTH&DejfT7(r8^o5*^;;nFt3Mq<62X;_<HnG71%Qfo8
z)tH6z!tT=8cs@&wQkn9surM6evvk#qUvb`qqSC~`ClN;x<mHQ`)QQXa^|i6!cp8!E
z*;<@slW?kFhXTn)apBu@-m!)`XE`?pL}y1IIwYd?kR@uhz2TM>Y8g(}2?+2QRMOP^
zMo^1!6;}M%4v_fSPM9R|j=l63!82eUvT)@}S7mR!EMk$t3d=JPG{7D}md=P*zkdBH
zC{s{E$B55Ek-4NeSrSgFh+7fP4piy*FG&2lcp9WEqW|YJcE^J(%c$dMqZX1iBlK9z
zLkDXw%j02|U0(^VjrED}96G<aaHtS?;wOgu8qyK8t(op+p_CVj@QJ(+sM>AAMInr1
z_z5&o@gOk<rd_nqj0?%j*|T9?XPCmPKR;F=mh}-MeBp?Myjf92#d6Ia2#olAp)**&
z`RG98;kqs>VP{eM(!u#wR&rt7E-n@tAqfFecc^m9fCC^DS&ZXxc=|bU%=<%!2JwY?
z>eC|b&w;1R%YlLlnQcyey$Cg3aH}I^QX7i(39H^oP!>y&8aB5&J;$7@3rg`KXmSD%
z<-nWiwqvnTFv?tB2Du`6^^W*?disoB0*pI<e*7Z+DO08Z9YWz5OK-A}D(ljUH!*xV
zPnWL{ut^aK1Ww$;g)0b$VfxUs5s5IXv{lwz<Tsom%hJ;F-oyqmyZF!3Vv3Vfj7p|)
z@zvJ|0u^<2qdEJr1-wt?4oj=iZ)5*{{Y=@IhRG|_&q(TudqSK>3^d<%D-vl195Lbr
ziqDbL+B~HwLMYH|;tXRMKnu)TEcALqzu!H#AmYdxG2O(Sm|}5K!%NOuzmlOpX^)F|
z-4aw`{rmo!T2cNfRJ$t8B}>%Ks;K<=64(OZ3TU|Dj)>J`ipGy<igDw)=?;}a8up>O
zy5(jW4$LT_o$;sQtn7n9s~ENLED0dLMJ;5wAsn3+rA3q8$p=&Kp@uWgdeJ&=&Kt@)
zE?BBdYsNxYXW!*WVX$+ivNaMiVG{Q_o{zgZYUg8`hm|F2&@ONNdvpA4$uKt;Mik|G
z6DKmodZ%9*zH67Fp`pvTTv&#T6el3s;76Z?+liu5gk=hVmWy@*%ge8UOLHG*W>WT&
zQEpiKONb3K_sZ8SKZp^k=z(+ES|>t%P6FnDl<-OS`$21}`)+;uOyVYGG62nM&Ck<G
zCr<PoG^p|B;^<d{Bcxv5J>fiWp5f=eYrMS)ijfj7t;{aKB~lzqpekU&;ahX`#tmZ$
zPNSc1YrRa|aotyiQ>EMbMuHJ*B?=Qp(t~YBJjUw$^ri?)XJ`n#3)m}DFS<P|DG`OU
z08h3@ucM?Od06By<gX6AvMKpSqI_3DRp2Pw{G&m*I?=MQXFW4l0?T2ixR?De+$tKr
zi>i?(O)P~bjnwF(Ur-e8(kxKcf66LMgy_!I&9NiqH^6CzSjgNj$#iXx7XS>l?KH!7
z38tNJ@c=ML;99)o`Q$_Fq4cknKbn7e39}Tq;dP@^WBv}Q6IrQdX1CWL_4%FC$wZzp
z7ws2%^j&b8C;@~&ESJYpZT*#H`_z*T9-Mu&`Q(}1%)mZyTxcyX-QTW5=S@G3ih%|C
zRZeDeJiO|L)K9?(bvqTmH)SX`aFdxXVk8{TRY_;0lKZZW@xR@b|3}k#$8+7bZ@fWC
zgCyETl2D2kX%Hn+5=A?uEk%+-B}6JI(zHq$QIbSO!yciOhLR9XiH4Tn`+A<|_s8>k
z-Oqg&-|y#hUFSH?<2cSu&jy6sdsYOKZ_u8z<NZbFnkq^OpuW3YSV|<+Z*+me;0dVV
z&%O_rp!^^x7vE@K$~$Sx**2=j<^fO)X#7OdB+aXiAAjA%E(EB-JVWi=XF(0ZlbWt<
z+FyGft~U4rsGqP<;*ASyXyVwewPj*sU^{42t%-`?BNgYf&hJ7-#f!|j=H_+0bSO<i
z%m}$tFd--r2p!H$$nmm^#g9{*V}?|xvbqz5D8-3!g|5d}%&C|;V+Jv)`L4p8XFtS6
z4J}0TaDg|{dg_OB4t<=c-w3~KRwF|(5bwcb<AjUMNe3e;i+&wdf9s@NxpD{hVva#w
zt7eMF6UZN8tbg_c!&9MtqG04k%fg_ipz%L&Ac~U%o+j+p*or3d4?U!N{Xb5-^XE!k
zv2E(pl&FM*%<&{6z!-F2ami4Tifya{vW(xFDM75ZxxT3{Ws%tbgZ&AGBOGSoQ7qnT
zO-^?vK(jESqaAoR>Box~FM16c6joCoRy8gg<IBa1U;HT82MPZO^RCy`)$OMNlJM<w
z@JGa&i3V0M5-B@`ZAW8exJOGXWN?}7gYz#RWNJx$`1ZET&v05SnuMjV)5GcUG%}>l
z2{;3UQlvi8Tn?EZznJ5yHVc)5z-a{P$w;_{T4>3QEqlB4QZ2>Zp&g^RJ*d>E;xsIJ
zKHcrat7DA`_9kV2J`xdyK^eYqLKMkgPD)AfsBcil6%ggCu=D1#h!HZ~_USbSAW8j%
zWgf?D+PKD7Gh`*$uZNRO(YJn}45FST3(^8b5gdI^{g^*9+EVNSUsDox2=Ei?Hy$1S
z@R330#)YMkAW@@2L7NDsyc!ckY|Ny<YT5irQARN7J*%mncnrPo+u=}EdKPNLuMK5G
z1vQF6u?fI%)%wQZmlK-lr3Gt1NCsIo%g2<C`DQLFfpBjw1(5W}dQPd({C$%=jTi_Z
zT{Ppm?7!s#Xtdl4*MlXnlEO|X!zg71l#E{!{)pwlGffHowB{fKI;hZu#0xL=vA=An
zrKlKrtDeI>uMeRq7=%{p@EmIMtK4$jJg=mtuBFoe%Bnq^sE@FT{nilKND$RD!=lqY
z^+18Ilv7!GhHqQOjN33@YTe;o&Wme=HdxO^T^J~Ws-35o^9ftX+Q&D^C7vG5Z@c3L
zExZX3_xli=L6i!Z7{n~Qot{%TEW}iZLGf9z1BMe71neQ<$I+fExV|EBAPwo0tiST|
z2C@_JAi#a$$&QX%$SSD(M9yXEEb4$=yMF($o5yVt8Ul*v71j5AXoZBb)O^W2glj>C
zb%fvx7TO&IMy{x}tQKY&CZAMUV~dj-t1_22xJ|WZ>l$Vpq9MSjQ>;N2TQhKrp%7~v
zkg|w{PXaY)d{rzeFiNSDXk1kvB?1%BLmTy)Y1M~Q=nrV}*0>K!H@>Cc;lo1dCrU`>
zEg2P;=Z^{%jXWTiuzMdfdh~00&1xi5!oY11Eeo8%dF%R;Qo+ic5`P^>pUL!?w|ky*
zy8Ko~dx~^X?~4{sd=#WpMf5;8rF@<AZB+N}-Phx?O_;X-{_&Z()EE}9w{zpPrOBh2
zLXoWG7hRzF6A1=OGO3uFQrJUzyxFl`7Epw_UoMV9$iXk^Hh9Vzv5S<(@&M6qV>&zT
z<%EkF$ASuD<h3)xt&1d;w%G`(U{3h%f3rCJ2s<=e1kR%xo-!{KHz+PD*<LJukKjSk
z8wv~(XUAhTo69*&paI%Ax>H>Wch~k}*BD=RHD!#?(GS!}6#wF>PjiqO3HOiI4irN=
zVe(QTdZk<hFJYKvgh_#_s;VHS6U5jAzH~)jq1MKv3@lf7rz&(5{AyQ&jMCP3oIZWJ
z`T9LtA@ttK%!?pZ<U^Vhd#It13f5yocl7;YE66F&V9LZ!5ll%$JmqNLUie&fDn*Yo
zY9@hqKq4ZW3s90e`3isT$JNWuQPhcoWz2%)Jz~dbW24M8Kxekadq$eQz%!xykcv~T
ztSAsKlS+3!P`1{xDiOoDSOVM?0%TAEeo->t*WBTrOc|S;>3JxkIx%5TC2Mmr9|7I*
zqQQUM_u8Azox7Gt!Y%4b9Z9oEIN{GI(wL0T?Q?TCmfQsdpH@B?yOH1GFtA5&^C%`%
z;9rV1GsK!0VQ^!+f2tAwqoQbo+9MGDbIr=igEe@csbpgzFeX`#`*Z|3Umu+{v%`Fk
z87Ygzf6d{=arm9$xD|wI%_T3Ar2<vI56=YA;Fs<eTNbfDIOks%&qpFmFV5I#6v7aM
zWQ|8cA$g^}5VfistYCBnjNaQs?3M3@Qzp02N%K0CsAAp}tL~<gMdITZuhV*av525z
zo3f!dLFD0pGLcQUf3zV{Lpm1|jWP5t^z#2PrYfuxz8nIN5h`qx3or&4=825M0u^?_
znXml7O?Z3rN)oS?8buVnf^te403e-3zhVQ8X72<!y4JU3w8ru~zlQ^eiPsMm6<@qk
z4iTN$v}TVUWFueT;Zk;13x_-M7-VcNk277MeoZ0K_C8QBcSCrmwmUfJ@9vLhU3OS4
ztVnGPx*;p)Wwb{^&dd9?ysN9)=4i=9Y8I8!R;8~$pEud!+GUVe=k8fjN?9*G);#!;
zdt}6jAb<U;fZB}2diA+)&v<+<y7X-A*_4V!nOjAO=ad<ad)ZrJFZ1P|Ake(|_F_dM
zenHiMIu`()B?mb(4i(aHW(LTpjrfqDdNQC6BevCQvd)LP3AJMA#hp1ESg~81=}Xn0
zUkmPq-d(8C3z%^RkLM?2ckBEF3R29qsoSP>`CTtACn8Uw91(YjeC5=3x8u?Ik4hgN
zxw`3{rFDBBy;~l?kB^vtG3ZFJx3AIcLWPk#ur`8TCmb1R%N8ZL{SC!PiX28pilnaQ
z-rLJvHJQzgZfy>f+_3PYy1cZAhcx`{dv4$U7&`%FBDRgKEuUJjo~Ri)hL9WmdEF54
zX&tW6Xe+-9_KXFNW&*?rj|;A(5P*EOo}<f@3*vmNd+w3KIywXpWOb_C^{;N}f+yVi
z_M@}GihJH&T0T_Fbud20BxX&?$@?EF!la~i>2P4q3L`>MXOLuYh0*x3>kzXO;5NZI
z<AMTqizOCbCI@5vg|F%ei)D4(MB6Xyk(O-VYv@ox*RoQ_f~FffN~+b;($d#_J#oLG
z^<c(IyUy_F6!cn!pOf9YV|LmXxi3#4!RfUiHB)l{H*9!U_v`oXn%Y|L_;?N8?(lKr
zdh^MQlzTcnzqXP{9KI>P-gn8UwTue}OxoVf;%!3+5GzB*`AoFLiek!k=}URX@P-7~
zumxksh=VHmOGDGDH*#`iNBnHBZBatOXSqw5HmlA(X*he+0K1;oHb0iej|L$0N>WlJ
znF6X;6D1Kyi>$v99{0jK0>@NyD=VwLZ<iZ(X`9-*;cPk)D;ZTWExOop8F9&TGQOBp
zw}m=?n0MyW=L*I%f+T(dwCcmYzMY7q-1{L40SvA{p2x7`TL0_?Xun|TIsV6nhdf;F
zwTI5Rx4PA|NDEou0NR{>{rVBH7DT6>Qe+n#6eHoW4zkKR-VmcRc=q4<{R4KsQjkgM
z!zXJ#pV1Asy7@PhkT_=T=OxPb?o(6XUmpEv%?h!cgu@C`i6zCepx+CeyzNi33<pp|
z0md`&n|oCCqaUI<IwQa&_<HS_Y2FtKd@2Jlf=!9_7ucr=y`N|$Y>!W|D9px2fYp3h
zZj^fdjT{yzUBgUvz+CoLVxG@kLSMsIA{NF!{BiK`VO34dZWiCA`;T2`k>N1E9ilE>
z02{*9j8UOjq#4q7^z=6(t@Ii^IM77JP(?xK&$+0;N~X=Le;*!rX0mgqAQSH)Qo>G_
znJiV9_4CWVzP@xZM`>P~D9yxu8X_e^1rwmr=nCmqQdr-95SJx%>4KHJ=V7aGYXDj-
z&^ftWR)U4scX<d+EiFcx3M4y8A|<#)y~m0neFw*-ASprMygj2|45IZvQyd44DJ$cG
zpYPYt>e@BoT2IXnJjDaILO=@%n+*yT?ykdxXDZ*0Ns=;tAy`Bd!OAW#SHU$4<Vj|G
zM=Itz@{ZBmxmp!X=p&iI4bXG%V-Pt_R)UYft(>l@K<t{q`fNOSp%cjs8Z?J{fYa@e
zcI49O^XDJqYS!sC%9;Mmtc`bh4>R%*UlcRr_QCco=t~$F*Seh(PIW+sGpA4ACqN^_
z*L;@b$xEq9L}$HSSGQ;XUi+?JACFMv0!@Nd!lK?>VvGXah;$+lm%n?odd+H!yF~~8
zRqYm@FUcup9B05EaHImDIk6iVw_o9-rK=ZC925Y$paQ&pEo{cuQQ2HSE(bk;Bf7Qv
zo}@rjL1Zq}6*PHNWxy93i0Mw2-5939DBNM%N#g9`Gen9$-&dH@bJ?K*TG3#x`O1(8
zY1|zmON?c-G!TG@Gayo5DK|xVRa=mz6(nFf{zRNn4$ZJQ^5p80?|uI%(vBV1v^B)a
zMYN5y3vmi#Y;o3XMzgj3lM_%z=l1p)O9S2()52x5-G$}M;4?6X-{zIA%F51(I2Ui$
zxa@XAd2BE6%<!jQXo*Dq&rn`;YjlgXJLU)H|7Qe2nNB2SUqQ+6gn83iM`IQ^?r``-
z1FO|4&-L`&t1b`bu;d^+!}cC~rZ3;V)m5LHxx{6w0f5ByCAu@(T6ziIRhDnZ4jlye
z4mL&|zMt&(2>uLBBc2cgpb%e!>n2rI8JbVo_ztcpy^hu70bvZn32m@;LqAO4$V^D=
zfFVW+oQU^4kE!w|nP`X{+(EJFk|thQqa^Nh(c9iIjov``TG%C>U=oF6mhP_4103Bw
zdhTJe^(c9!459Msvn`Z-U^2qy64N?Mm=BCd_WAf2A8sbPs8XQP+=}@Lbwn(zi}C%j
zn*r%Mv~<oKqZvjKv9Yt5R%7np9^e+0^pWGoeG#JxLT#4+G2Y9{Mb|a|X10Y9Ej{h-
z<F^1f)sg2aL=$7|BnbL5*;)b+Dq00l)dOFOLoDvK9l!iA)(ilswDbs%<PrY9?Syv_
z?@H{&ahhC01I_<=$hd;P7<1rDoiB40D*HdlyCx_n^>ORby3sBcO2oXWf9?R@G#AI4
z;v_>)H(>J4V0s*FXp5V=Zeuz{rW*#9vbZqhmLKbCDJ2G9Uu}Hk{=!kmO-4^hef=ZN
z`D%)7zCZ8e3V;JlWwF(kwipYFhx{a&7uTx>+4jh1`&|3z!*6MrY$@at=X|E_6RIT;
zhLzOOgcsea4@f)$v(1hlId#f+$?@qK=WV)4ONvwpGoW?zZ#2dfanEkK=}_|^_0?W1
zExho!7`3!<qHAK*UH9(1*TXJ<ajTfP?dNE|tJ3~TO@H4`c0qnkH92L7r1Vp3g;57X
zb&{#R=bsZ4HMsU2f^Ek+8#zAVp_V_UiD$V%@z?b*m=qiAz#gpLnYM*uR3K;)+-|D$
z5}i=Zfd4E@2rv1)r=7&KyvP+ZH5FFbI}|q#9`xmF4GERUa1@^wijS#f-KXHp4D=XH
z)lE-6ELZjZ;A4;TJYHP?B&F=MWWTXo7d3gY9bRx7Vh^3A1Eq_wzNrKl8AWy#K5@&J
zR}J`G!y%}@xA0y0ZD#5W;geV1??i>3h9wcxM7Qr{jGe@U3di-NZhf`SPpfEVQt&l+
z#Q6~QeHN+X^0W=qjceZ>R>=#EHai}3y|x?(T|;0z5SnAIFNC()S{J%pm>5z}>5i9p
z&>brZ-kp$Djs4W2(_jVDv~EqGbjq*A`_^2Ib{l_067tC~XjT+=yuJc@etc<^Cr>_0
z?ut!0^kW=r<!56Q)t4@VV1iy(;G(tfvzWi>&?pehvshOURB!$^6NbBv{qwPZrr(oY
z)Y7hfw2oqL>A=fkys8c5yF=Zm+oX2lvLz-dR8i+n{a`RGN)wuFtCWO!q2z;Prf%LF
zzTJt_%d0D>%HF5Zr;GNJ%ZpDto-+8a^S5x=S+{XxGJ92og`tUxSdhS5iJs>C3n|&<
z!PFJP?*m=|>(*$Fb|m^}!SWVEt00ps3V^Sb8Esm`7pe-ix{rL)mohRpPrmcp93E+K
zJ6&_p4U12elPqQ&05yUpD22YlqPSi>XS_8ysZD}3kmvjNuW&z-mm9aOXTR$m)7Ubz
zqq#%VVwr!xnoHbwjVM^H4F+t;-4$>RzP4iH#kzItfF|~LC_Eyffn!F&`-)4_(U*+b
z-Y{YA-y&h$!QY|p?fS8FujRaz`ERnNA{&*a^ouL+aI)LowsAUBr6LuBfvvT7wyYCU
zY`LWEPEN`&O=r%`?V!6Y!u=HCRoVR1c;i1s)NY;P-}^0}oK=4Q+M*r<)utAb=#=FA
zX}RoyEHOBfW*$V*yzupp))ba5#a^8N9>Ohix~*i7ejHODW~@tA?C%k5_cngPrD@Bj
zd*#*Z+Ehp!llEJFL#$<*aj?(4*Q;9qEU)6`M}uqS)0y8=N5d;#${l{~F4e=h-`}b<
zn7_F7rc_s>0gA;3>JGQ+ZHqW~k0Mmf`J0il7)nz`l$Dl>IizIRqYA?rGkgnP;cWm0
z_aIrDZCeSLw7_6FAik&7tCOsd@8R-6+3l^gf_22vfp0>8T)8${>&o=brar!0RF>h<
z<A%K7wG3-V><QKQF9pXZ9WFd>IJ=M0e)Ui0%I&M_vGhN>s5l9<gO&w{`3^$f$ePh<
zix%~x7*j8GH&v@{^CE5+KA(d3{0crK^X%GZA-n0;A(=FTYAOB_I7c*J+i!6Cv<=cn
zcPXxWc&)Gar7b6bSF+d!!&C%9X%RIY=3BvWlg$jMDrbj}@9r?>wP(jyJ0he!a?jW%
zmpe6x*ScZRX&)eYY9=K$wU|<e2^pQh>ICD3w?&KXL$0k)AGrg>`&H)d5>OvbjJ<G{
zU^j->>$ZMgRrl^|^y%AAKKAQVoQX)Ue9ku6UcK(~q#4uB3u>`u(6npAlQ^HJpY&C7
z?j^s#B4tU!$V+e%gb|7mYsS^e^C6kgvFnLtAvO(e9`EpVU=lhFf;%pfb_A+4y^VBt
zf?%-Rvo+e{@q>tMAJ>$e@mCqzJuJ;Db&{c#n)BL{QCFsi8e@npXjpJ_NnV{H3q(do
zX9G-1ix1E29L>YQyuY1Ph7Z{~DRBDB^bPCp<)B}qxB2y>F+5?tGt-$E#DKfo{!Un4
zowK0J^1jQX=dZ<Lgog!bjS^yXN&mG*MiQ)nTv-}nup#wt-XX{)`wV;h&{CRvus(O*
zRQa7-JJ?TX<KMD#Cz}j}EK%d?^*CW0z4M#l$7cDY+{pvpms`IZfhtD|#hF%aNeop8
z^qf%Yp5E&>FV}{-^7Gd(I|}=xq^*hm@9Bpi%?QW?uHk`g#SFYw+Q!Q1XYOnGq|r%c
zz=^fr!u3{vyZQn;6lob|N!cbFO@-$Bc|mGXhSg=`n2$D8W$w<X@8Y!wWh(=;wygEg
zLWNjt;-pD5AIlrkJo0HGVFvD}x!G{L@DNFU-i6tHLDd$V-?$*gVsGM7y`kUT4?eAF
zUo~$1DaU^fp5W6GG{c099I85jHZ&L8KL{i%DTSE4-rM!-QxngA<4i~P#~$bcgrac$
z*9Wrguy6HGO-(hOaLZe6%EAoOi*xYMWA!;_a~h3(ShfTajpfeD#^qN>j~O$sVD#<g
z^9K%@U%z<!-a|-RV&v%Td=BQDkEi;-6Fj^~leyD-eh&+q%!HzC47ce1%a@ZYHn%ar
zucPk9;8VfPbGb6lHyhfv*k_(*-u(U3Vs@zqxbKs+FOOUM<Fjl-fQjr^D_ILg>Ssal
zg@MiBM*UDllm+CFg5Z$>4QCaxr&*|>?#|s1EF}1qPPdd?KRh`^Mi{l^hDB|whrb}8
z0%ak>nE*Bu`XL=3D`vgtsoPr>*2hj~@M&>gCDO0QxtTxSBvteIt3Q99vu4c&(*>8*
zC<sf_tu>6=hgprDko)S@lqzRHhFrKwro;qi%_645f{a2HsOaW7Ecgp;(6;x}TCW{v
z<m1><j0}}<8Rv3t-u~y`znj?iEzdVz6d$oVW#ue0v-umhT6Tsiw(VPR?~`fP1s=0^
z?$qNal{9w>AD8NA9gxhZEN}Hyca7<{Z{H?{xJmmdN|20YB{VgxM>%=d)Qp*LX~}d#
z%QARW*Cd;R`)*H;D%zIvDS@B}sdd!CnOWuKEvKJ&CNN*cZ4h&_;U$fe0j!u-+by0X
zTs2$v9a5|~0TK+(Lj&BLu+2JDNIM@`CEjm+c4deZ9BOTBgn;CZ)r?UN@*}MtUzd6O
z%d=){Jr}SdEHa}mUd*MCYA)I*)vcRVe28~C$Y{@#vllenN<G6UVup%b?+^NB{X+~H
zEhe0Q2kpp-22#JP61nz=`Nm8ZeGR7LtE{Xf@a28G!T1`KbonNkp1gCvY`aZywN<8u
zONCk6Y*mc~yTGq4U--(<g;8-sV>J)U^(cIPnSU6{1d$dCtB;c(wsLpcWq)7FDaXEJ
zjQY~_r-PKQ{wj$*mmW2WA1vh+@#MEB%XFcCbtGyRHAh}D`kmsfwU;D-zPB%pjZkh<
zAB}jiqxN2|bwIYk0w?#Cy<R&jZ@ly-?4s|5H5qf0Xd1D145veW>sFb1>F+P-evFNP
zLq~vrvS3|*;me{o*C!OqRIS|leDRY*2{-CTNEv3V!er+mox_aSpw8bCHe_b(ZVLku
zPhx!$Gw3V|OXuQ|MGrkkJ!rJlR8Wk+JuBK$MQ&D@`cz5drMt}L&dp_E5hF$<@@E=P
zRJ{>+WA?(D^8D4>g2hOMY!2=V4BZWSR)?e$-TO~)0%9I8bi1wP>}+Gmhsr@}CF{%$
zsD0GFk0CRn<1kh|R=4xu5UHZD$*1X_1Tj)S_gMaF^;s7k+Z)J=*(7+=Ic#T;7dzuw
z3YvVQ=53B}&AruLKK1r6Rn;g9wF54~*g4Ctsm;GTc%A^QQm$XbI3i$NdUIN@K7I0-
zMy$gDobEzw@s*IcHC$WOH-G*GTIj#|y0((?+3N?NJgH5e6_6k|cGxh<ld~^4O$*ou
z-jTBDCrRZX!7SlVy*SDNbB<GG9ng9udajk=<5sM#W*{JJhnZ1QYYYJdDeIi@SYYtK
zZ@DokSTiXTYClclg{N;hjQz7LN03*t#|s6kQ`)VkIl+Z>M#i~ALi2Z^P)W>nb8}0=
zm^el5OV#aN0z4owWNYV^^hP!KU->%`do(n3ZpuEUq*#!w+pvD`5aF{uBd{;%=jG(H
z%W-&SnC^V5y<#UgD5y~iFaG?<QbI+4Bg;$UKYps&XDIviPeLmLIyk>6{iM4N&iVEH
zQ}^J%9d@-e7yu&+)igA1^v#%{9ooBh%7LQUuR2ShDmS6S^m;S&F$RYF-z=)3MVRFm
zICR`F<LJRltggOQ=-t~|vu5u@Umuya;zJB=H*MPV^p;!lqIa@DOI6;tL%!HI8&7fp
ziR0CZH%0}LOZ-xUss@&^hU+Evo8q2Z&7R;x2_t_rzFft)R}+^DezhTXRNN|tQgQ<Z
zEYWmMcWs;El;pi1@6EoF^Tl>WFqK0<&6aQD`#^7=cKqaC6U_%Mvro>>5pJ#U-V&F-
zpZb<`y$%D5$Ajw31j9#^!0tb{kTq?-8jPTXP!)qA#&KJk?nxrmn?rFT)kE42a`(Z(
zZ5l8)?mc=m|MA%L8ySVr{FINHVEZ;?$dCw|9Cswz+&Ko4=WU{fgOb8+>~Q`RW6!A-
zHDbWT7sjW5NyaMrPD-DMOXJ&2ndjNl-3pNifrVNrN30?TFa?$rQ#Sf2UnVAE^)e-_
z;E(R>B(svr{s!wUj^&SLZybj;TYEUTvc2~l74-%EA3T&CHLAXuQcdlAKR(Uaijh0{
zue7aRY&XuRi3Seh_8X3?9u?``7Ve&;y^^mbScX>d3l4$43z$$`alwl{e0a{`*1n<&
zdUw_SeDuY&k2=c-WJ3#D{_Jmt)N22O8#jIc)hG}Rv*V~mp1{}#$-Qt63Fabk-5C03
zx0u-C(AF_Xs^(!dsOX*Hhny~B$sm4#ukVbERvo%1Ud$uNg<t{m&!>4L0+f~Fj0AKj
z#$l)$Fxu)&dKx=!ob#oto^AgoXO^6vyTxL~_?NSTOpK_O7<A7JiZgqJ<PePLq;_BF
zv@@V<NIuRR26irp5tByiw%vkmMr&-ciisQ9=1D|!!t@zC`yt?NJKyCqNLvha6(}$p
zjLn4>0M|aM(&f?LH^PwxV6Nf03QYq{H~h~15rpy1bv<YBzBQL!l}MfBDr<ILt+s87
zm1(pkr|ZI#j*FHFZ#TfLq3zzTS%dx2RO74FK;%Ml3@!$(MXcFifZ2QfVVX{19zAm4
zz=!kapXB2WPq2h|$s8O{pLlym2IyJP9;h+o(=u0g8TLo3Re7k381nG`1jJ1U!XeH8
z2@{LixGir_ZFvEc^~{e?_aEMqOA2eht)KK+--wtcXKRMfsZHyBaxl+ckONk(6tshw
z`4@X|^pr-9Oehr@<m#@HLEh2}N)x9ln~#LlYtzs)ZNvo+Ru+5y{kCxY=BLw)jIxIN
zuv%aQOAF4x+ldX4^#Dp|uWG<Y3-?4}h{<c^wUPh3GO9oVyamcCI6?5n7h;{q*T6@k
z*!pwv;O1)|CC~0xF5k$g#1W?1h=;eBsF+i?v`y3%#`a>E2<+N*au{e9@1me;#_zp;
zvx{LF_vZun4AO!5vio1F(0(}oDxU?=%pkgEc&iPx7O^v7!^;)Ri4r(wGXj0F@Leg(
z@aQ1iSR{=N#Ch;tChhc|Px-`&;X#Zd0~ANvk=0E1CvMki(C)VAhk=qDo3oxM7k}X1
ziFqa+RB~lm5al)QQmx8|#Hd;B*wF~v3ANTA#U7`i>whH;#K)!9ar)k}o<rx0zybo-
zv%|X}Y4jhz$s)emoeeI4<Op=nWkqUKC)Wo!zXzihC?MFO5Y-~$g6_w2SxKmD-98aA
z#@P4;iPL6EC}%2~zAXCXAS*8o%gk!s@J+x4=o21NX)~;X1u{fa^B})SUOf^r81dD_
z)JeO1eW&X#7Qyk}@gE#UExTnCqbqtO>~)xz@>j$<FyTc+ER0dGB#I(fu!Zf!?Jjnm
zO?m+p!RtVqv!hjhYl<s+5DXSH;a^joQU)`>T!{dqHEt*$9Bz+sG5gH)T_pqJEHcL_
zk944>4ghikH(U*RD*1lzHwcb61$cw;1BAzYAIv0v)U{sQVct`4`A6A}yApfI;+#@h
z**w<1Ct8fx3@sFz7pPD|z~tcIAT&|T@nGy+dVhnS21ksk41h!3bLk^ibN)o<MMbHw
zW6tspAc1e`cUi|U_i@+H6s2OW25k6tmnZmaU-F=G;I0TqiO2mTM#tV^IDNydc}?V7
z`QE*K*nP}=32L7_0g2*|#gMBaQ~zRjf0wWz+j8hmMwhYc_M2#~p;&--p}3()2wEuI
z-aknQxNt!ga;IR+a=l}mx;MVOxu2eqm{dHWAjU$?CV5SFsO?qP?B;Y?-edW}`HBpV
z;T7@66=1VcGnzd<F&3ze%jWTQ?D77{m99BF>Q`NCHu1O2lFI$Q7gWWcV|B@=t<zdp
zLoGGnUEy)rj|W{toTU$3#V$Sprea>O_v;6exkxQYR8hSRP8_^H;K7$yrvcRj1%h$c
zrSCi1!7&ta54s(3mq}{vR^=SLOO40{KodC&i3t09)O&ur1rcR67Bq3UaxVK*PZ4K@
zGqK>Z@hukC?aZGde`3e3UGa~7mDotK-QjtJ$-#ZcUc9c|?%l#1WUO#074$wD6nhN5
zQOapoHNhi<^dk!ETNJYJFs_o(Q9beY1%50Uw}dG>b;MPN7vt-8we0K=+G9xiE<E6e
z{%>3-z4|_yP2gCz0Qf@GV>rUvNQhbnWK&zbeRwz+R1>%G9bcajZchk>#zbl7PZy~e
zV0f<{D5=w+L4zt;XDeWL5V%b;){KK#s~l_Z$UB4AI^Wjc(^KY5Ro9j6g?kT`>{bw`
z4#n7&9R#vemh)%W%^j+)tu?}lgejH4MW#;8>~N?R*Fi2y!lv)1Wjn6jem8CR5x;CE
z=VKtNK{YHNq-EymNKL>%=`8hLuYm*20X>DHNB9_lUNQz{DQ6K9lCOU?>HWm*K$NwD
zZzhB+4U<J3D;e%G=OxcCIRDPtlAe8ghJ8x0j6SsfN$n&-m?POTO5B#Qc!B^|02u*l
z<;kx&1&JlCP*z}D5Qa!v>o#m)PAQMe#*vGwguIS+Ypbj4#e=aUz%ugepE-X!SQxCN
zuG|6KKzy&b8HI=FyWS9fFd6U~5^?SvvlL0L66Qj&|9S`_Fp$}iwY!Hwe<YEC&~{`N
z3+(O1_jLvs5u<6MGB2HL(ACk=ktXw=XhryZP6KuD%p!qbB?6=VEkObH^;1*JFj*L3
zWa2HacJE2`eAerFip#dGTVl*p6PFUJr@%YI3{1JCiQapEa<UFByRwc>FQLx~)sj&g
zxBpyJ6bvRoMdl%D|5pi`Pebaw$?FueS3)`d3b`@c)<1ltV`82^s7%el&d}6S4qa26
z%I{m7ChF^-0UC{$dpAt33zLgJefk|ebrk*k5%scLNEG-c8dcwAfTYBt0trb;;rK%H
zkPTzVHq&!54}uYL^5&O%<iCAHN4U(9;Kyl)FIuRP-a3&$rZN2_gSq#X)FrP7%cW1k
za`m0g>cN)>%5|}J*wpYUMFaY}SpJCiq*iwshmY7>%UlNKGgIsU&>{x&<ZEh@4r&7<
z$k1O{=Ue+sZiecyt+>L&6oZLo7!^6oaLK0Yt6I8s3-Sw=DWD5{gWjt|$9^b+7{*Rc
zL~J+?%tMJFeAvDeabQ((+g14a!hf8q?CtvdPzQ+PJ<wbOo#guU9NK5}igv>ImxTuH
zQ1JC-7RZ_d^ZzY!4hxT_7UN6S65@gUM!4KIQ>*U!I(gfB=+Gw-?b3%DZm{Wh(q*LD
z+Ah9>RaVQ{DJe_kpRUjARReJe<L}D&w{(2sq0)Q{&Le9qVF?}EG$&$+6i<FD8x#aB
zg65Tr3BM$enw`pMFAI)f_;TKaG?m|PplNWVu&4DkgDcneYWJRI)>-?Jl6p6<zjvy7
z1=)BH2^CTTvHTH=IFl6-Rtyb=Pk(l{B&IGTSSC7RKN%$HwY#EbGms~{eymJ82Gxc~
z#|^$fD}rJU)qoM*AR(%TM7xBo83<kY$%TAsP(5YP7V40-8nt=sl4I5geO`ibyq@dl
z*;E|hq|#`AU~>x@Fn60^rNm2u`X?lMiW`SMZ0joe3YaC-O^RMdUX^jGRx#aj><yHC
zf{pyT8GLM$HZ~ePV@C8zJr~nN<I%iTamBDE736SuN{q>Jv$9lPY(@Js1n=DSGu7g!
zf?pL<uoLilaJ}KnHqis4EG+^j%F8P<vQU!^joouEUG>DNePK#!wX*%YM7H;Pb!(bR
zA)E@an2-sU5!K?AYuBuvU7=~FZ!GZYi<<VZm=ck$*Z!VT=On!Lh3yU}8Nvjv^%000
zMH|D(i;r@6_39NOEX-JC5LAl%2_Aso>u5Z~sKPE3+++kw-W9|~p2GUaalIioMpF2|
zmqCxu;>p+CTw!EK)Dv6iL17LoQESoN0tazM;6St4R%5LaeOD|qPTRh2!}J;bjP@%@
zw-`%(nX!2B>CZ3IVZgC+?<S_noLd!!VGKkcGVB0=33m7d9#Y546O?3rJcSycUFf%I
zzHvM@A=!||K}ol8Dy_S!B_&RgKCNf*phGwFX%Z?q21c@PCTLlxWRX&cPXcnJg0TPs
zxR#Q_tOH8l1iC+O8tS01u)|asQ~$Q~qOi00Ji~oRA-zp{7Vn4cdG~OqhT6ez?v4S8
zpOyMB{Il%ugUmA7IWS`WzrW`EVR>P-eCCYRs^34^*!0gG|3je*6f$}w&fg+J?C%Q!
zFhzyv?->PC>nwI(?oN*q*!uBII@!GJy2q}lnqEhCS4eIeIPHv?_O?9}^wWLSlzc6B
z>Rnov_Vt*F&5|Vp#K@VL$pt8bL+hT}y9S;;37V$INI9rBrpF3KiDYNx!Z@koU3=y|
zIJLK(O7_rn*Dlq?T@RXus!kd8`PhJADEp75*dl`%{&=tMR=5dZ={{@<O)5)ZqY-4&
z^Au2IY@HVyVXK_uImMag@;j~|(FV89=U|JOA{^83gSL#PnNZ!;%KUTGvAoG_2#rSK
z%k-^{pC^0k6-O@9s5>-nxaHB;e+C&b06g}FQsu$$kVsl93P)jei`F%d&i=^8g}+6S
z!q5@Zx&yawPliS}|N80tm8T!^7QC}mMyvTm8EcJB^{xCkQKw^A+P!0^8$P@XVq46r
z#hn?d;m;)MAo$o1e(y819dp8EzPyCe;;CaTo?k&;MEJcxC;9C9OxAOnz-8(`LA|TT
z!-o%lqTTMx5<f=Vb;SHzlt0HdzQ@@6rmLeEn!#B8dbXziFf#wMde$dP?5zhzu20=P
zc)`@kHfbKG!lZi|h<J$1?AtMi`<LFof&4p~+5D1kW>eqt1BDXP$1teoc_gXCP}Za*
zScyUL_U=PcqvU-$yxKWr`{V#4rRj^!0)W)!_P}$_a8#&3q1ZBVv{CO2GjiBiH=OEB
z6F(q;9Y>J8NYVW4%ze%ht7!VsqQw0An}EYNF`2zlxg6dda3zPYqR|G!e}HYpJN{P2
zq6a|bX-&4eE?l3n>&pFh1a<m4YG`mzze-v8Bd0n{DT#=i{3hUcX~}H+566qu_nW95
z6I4|WH2A3b-WD0u`Vc4>I*1W%>@^7<yCB&R)b`~JjNDvU>6qA-{h>?L;^AT;+{>FT
z^Ywg`djiy6TAmrkRT0mngLMl6O;I3`{iyd1RgW=A95Z1;?!$-L6}N(@n$N|@7gD?6
zB0-Pf{QaXX!>K@S9|Yqut8#{fn4+10Kov+lVpYj9P36Y$j+C(1HoQDFvm|V2<5;V{
zXA1+0x_xo)X1(F=-$Fn4aB#J#O%HOwktQOTK<H4i@TL{T0|Qv=-kV4VTz5ci1w0Lf
z!a_s}AkFG~#%k)%l&^h~>9=9VjG_C2mOM4fmaaRY>!HW#N3+1b5BM@d{!RQ=Fp<QP
zcpp>0(|{&INkJLT00ALXCyY*(477p3!btrdKzuv<ZRO;=&Ye43H)b$5*xLNo9OTrS
zMNqI>v)ND`AGhT!ff?7q{cm4JK5=!sJkUv3;+OhhZM%DSzG(^~+X4%`l?ymy@0iNt
zU8h#+sKYvNJToBJ<n!8L;u)!j*sWM`XYlTS#<vW;Z+*zCJo}*S=&6H0kLoPyGEei*
zZ^y^?k(;RsP((sP5K74ikHd!Ep@<hEWrWP<m|DSoV?GK3v>{PihEiWh93Xar@<M?l
z6hm!@d+)HLuAnzGt9xX)^-r%T(XFD%?C<bt$)NX4c_~Ro1OwP~8$9Ny_w4p=sq@?>
zZEJUV@cqX_EpB#c2sJG8kk9w>8)g<7t1QJ6%thoxlu)oKU8Ew{1j#|rc0?mg@j$qq
zrXKR<<Hv5_UZ|bZlia%H<9nrR4f)w!6|n<}<V^})FQZ`y-Y+}wYxs_g1kSKIUeHj<
zSL=};4PUI)W{mguW1H_3x!ms%m~t^u8bXSWoQ-QHI%R5xgFZe${H5)Mteupq+^Da=
zd;cia4u>~;n?4S{{_MhFL;Fd`M>$&=kEJRr5JTt*o0nuTn;*JZP}LAak`K1ha0(=o
z1O$zalxfLG_DMq3o+!g%-rx6?yEe3&T^!{4d#`Kz#x#6dpqL05mnivQK%P6dYOnoE
zdQ7pej&^SV+wKTZj{vdYWPL4v_UGv<=!e2dn^B|s{s+*lh}}uNQsJh#6C9hfnyJ43
zGjRgkW|pFT%39AJFUt-UtUGIKAKmfk`L0xome#X!fjjtH#ExY!6YjwFrQ*aNNcdul
z^gsfdIH_^?l#v77e$0E%!`0iVmVQ`e>EiH_i&M)Y3_6N2E$lhY$seMt<o1SkLe@>K
zCPeEXl2M#^;l(gFKk<^h7xxVZpwueQp=xR-b*1d>6AB;!0wOJ*&EFE^bpPoK?<tn7
ztttP6#y@pZV&0-}od({%CG((YPh3h!*HurRTsl1H>l2Tr9j#v68G68CAO|dWOfnqi
zI89fP8^bO@uJyB&jc{wPxYwy0*^i7c_&4FxfY?{<=GDCy{*#CXIbTK~PC9EJXts2R
z#dnaIyAQ80_GQpy+zBWlnY=K6T!9n=wlD4sPt%--3rvT4cDb?P&N+;&ukOf~^WK>d
z;r=T9x>SdTclTY-29H#3mu0u^@qYO<FOC8@FvdDrFb60wVkgV+e(CsVRj0!(B~q4x
zoZ#0Qh$<Hqi_#R`zLDmcm8qFuqh?Eb&lorngL%d#VBIyi0YIKdG~I5($H3C^^3^o`
zz?*9}njclP{eIl#A8J+Wo%bjc#Zq?E--{Ejt1ee21Bd4vG}tsxa==%|-roAX7X4^{
z>}%V<;>ZzpT{j-TyaY<%T4+gJd~5p+D`Q}l2{jc%xnYoD&}9tLzY%!LUaM5gJ2CP2
z_ygnr?)d#AkV=}ZRe4l%RKRnCoE~|yiiCwf&sbi*D0i*(?ho(YVI*-6Tne?7UWApe
z@T3qH3bgM&Ve`8Tb3g2^Fo#uWmlh>=+G;<^KGDKc-`OYNcf{A-XT~|B&G<CY>0=)O
zNvMaQ(z&BtTzu!w9v<RWiV2#K>3iB1%OBFK4XY0wtlaaS>si0RLv>We7=(xn6m!(2
ztMG;p8f%1H4}RFtQG==qZ2NzntU{Sew;{#?biKfKg7I&B>QQ|WH&%B2JGIo3=AkVE
z2iU}K`!{9#rEM)16R*8~pR%#?_AbS#Q>RiP#V&Z^UkRTa!1^cxyv<b^#jRZxEy_1o
z-srzc;d_-*nN~J9iEvBc9vd&v6YYo)`4F=<e7n;8?OQbMuV{FgZU7$aXGbSTLtvfT
z7_$qZ$h+j<XM}pQvFi5pvKvGFzPbhWU4LbF$k)ulGYgFD<f~j%l{JH*)QSF-_-$QV
z&`eK<{Zt8q4Bed{C)y<!SfuT&?yR|SuSIs)x!gc!{v^eIbHeyy8SFL0<{+m3G^4G9
z8b5qsGZF@lA*(>_#fC5pnJGcVkdxWi8^X|rS>8~tLbKK;d9gLKntA1c_imvdJ06jj
zNja_VZ0WQ^uXo&ptf~?jY$-@1A#44XEfrfDAu0mxnwW;pD`_eUczD6DI6>Ft*H{Kt
zDBf=8IR~3YW6o!r;u5MzJYjLCuqJ2FC+LsR)x|R=s0%tbWYhrti()ePG}&>mQ~%CK
z-X4=Wd$PT6PN|1V!`l^R+rL@3ubV+Qbt3{UtZlW1fXtQ};fcR<QNQxM+b{Po@*9@-
z>Amx}=PpdeQ9bQS+H_7(8}8h><8G~q4?dOEFv6?Q^lWRe5Tbpw6gSw<$RT>mq{VG>
zmFGL6<4ns39SYvQ?9_Qr`Razr3hGwBTE@+H&ayAo-Tvo>sp+K{D0Tp4ow+JGg^DHf
zthAzTw=Z93Vq+r3DC0b(YPglBqA%fSNRSB>!r~uKNjxhsI0YMqbeUCA5emm739t{(
zsbT;`vtJKFzF2>?-PY*d(h&4@aPLcBr~b@d>epl6pmR>1f2VJ@0$dW5tK+Q{OG0(B
zds;guozq@*Wp!RrhW4*+-x4o*!GaC99LEVwGbI76k+-&!cL6Zbg|X7TeQ;SM)u`ZH
zkLGNqoOjMx4S~ep|A3e8+2*Me^JF%M?TLKk?74KYV$v)(d^^@b5=t^UMemMeLmU*7
zLj^-LOkqywXlM^w+A(;$<p3do!+QF?<B9&ZBew{aH&g0%!r?=_;6ao1Di#<m@AYGl
z{<LLNIuHMpsWSXdl6k3%MDPRM1LtEb`nF9dq2`$#_E)8=A^5?+kgj7je80t<8Rj>P
zNcfO?I4W@eRpnH$BjD9~w<U~BfwDVVq?8gj$I`ZoHNn|y+Nh6pzuHc80k2&btgSj<
zBV6Ti-io^Iw#$OlMmnhYMh6YgvWz|2FCgX=DxRJV@1=9Hw{_GWF_$?R!-(wbb-{H5
zAez2?Uv9rX6Z4gmw0iS7ZvZ(L3tWFG0CiaY8=BduJz|jQ$vbyuMV#CvKWkaKW*1Mb
zfS0cxoSED;<gwq!nENvuQzDF~r_nN)QOS4d)~)E<3C&LxJbFR?5jNbA%O|9K3Sr?|
z>F;(iM*|Or8Mfa#Z}blJhT1ZdmpAld^EW?z_V%Sj`jFKL1C`Cqz5ifFYoKgwS#YB0
zX`Ws31d9hc7oSY9b-(oYIb{{gXU#bqB(|S%2X2|FDNUFX@TmePkw2+-+qs9`Kbss8
zAO2&jT=eBdXI|)nJxWPS%7>0E+pnvzcJTQ?jSMGcgo=QF=OQBwXwW$;D}k%3f~R->
z^CEfV)YDyeUoLuCUNCd@vZ%d7<TG#EA6lyE-m)wp*|sIuI-!l-G6GTuVMA@$iMw=x
zX7|5;yYncXmr|$1LB7|5Z#92D-*z))y2^2d!Z{Lqz9_X_yRlm_?OFdn@qeGAYC|t0
z8enW7Mr>^`{ki6+rm_p(98$6Q1yV~kPo2_MQSg13ZrwN!M$_j<NEUaE+I?~`ps8Q9
zrF^VUFS9mp8E4H)KX=Y?U()n#IgS!1D8VstfDFSvSiwk0TKd}zT)?C?uspc((+KT8
z+q$nTb!=UD_QJ5CJp%%&=)}ES<PSs#t$v^BWCsyNa<l!>{(~2$c+Tdr2$T-UUr1RP
z;sCiFyQulN;sDpqGPcvzYx+j-AI(?Nm-U^~as8Azt{b%djC>Ssm-uVG0K!&#JWG19
z)b}y()<4S`)x#+{H85rQr;i^eBEv?DkG)35)5N8QU6ywUH$MO1?%npbrbnG_YD_Tf
zc&BEs`n?d1Sxst|$Izk>IZ|!jvZR^<;zXa*)2vLA4$fLF)hYU*_<o09{_8sZ$?v}t
zGiQwob*7#dCNZde#KLX<5oLUJe8SkGKvJqkTTq2--@)Aj6JuSRj~VT^%*nd(^ketn
zs%S8kH!-ER9(6CTJNM&#P0jq4CW|R*AgGoEfla%2vzCO~x{g~RmVWa<aG}0Shkl?g
zeR)4rFYghsI5^H~`f{(kcDYU0D8td?$J{L`(V7|JbMN(s5AjQ6YPJ0issGyZE>=yh
zrnI6$Yy7T#yW?Y~s^V8i#hk>ZQh}X9Np5G8;odsoW=_bLPhV|q{)oxCjq+aCFx|ml
zih9RAw*KCwFwiy3FUt<qdz{<|Ep>+4G~yP;PdaVA5`I<rs+yE^R^#m}$tmDtY@%PL
z*(~@B_{phzJjEG7WC5Wp0qlKBX$e>zMU6yj2sOh}v*PbVLE{*=;fZ1J>D#wGqTP2i
zj8Sh(h-nyI+cX9k^9y*Ko&PO7^}a9#qxA~9s5;$djFDB9o86KedDvNlrnuX*H0=?b
z3ORo@SWWy2;Xv{S|3mRVrVXqe-wq&*@nBC<v{-4A?etPBXnewArS3b=Z9DbPY?I2Z
zA3js2)@Sxo3RUuKG#l5yKhOtk5Vhm2laXXoWDI>=>g{?tV9M)B_OIgjNx)LWMvREf
zo8Ad!7V1lWGFt=1Zc40Y_mFy;5Y@t2&AYPl{tb`cG_TjHx&Ou)YbfH@Q^YN0uK4cJ
z%?XwzGYd-Fa-}-tX@|U6+4^!tZ>Jq@iUyId!EN<-eLuKo&mQHHMoJ$>%oK3@lqYw0
z4^wcs({8YQ(-;QHQb{&NR7(N+xop@V&l`}&7(A_I0!9nehZb5WwdsN}Wss+=MYaML
z=-m6+Z6mckE42#t`(-^nBO}$cP%E{eZnCWZR`~eCh8YiQwU(zcGY3}_5Nc&ysB6IZ
z6&tjF>JL{{KMITLLHN|UV6;KLV4<Yfj-!$8|7W%j+K*}qO8shzR&|Hh<ZD(G7w?X*
z%rs!Uw@-6K`#;M(enlDf=xOl2d+iTtV^d}3?C68#3!me~CP<Z_O~%JhMppLB&u_I-
zG-w}qd8k4Ffk=sIn80xx8XA;~g)ak<2Y4=<s3?eSckkXs*xM5vLCohs<3Vx+s>_^9
zapO)io_rT~1znejawB~@1bx@vsY;h3_M9Fbx%2*?oB#HGt^8>tzJd_?az6y#Pejt(
z7Ig_A8C*>4S^*dIqQ3b0^<VERaY1eKUFNJ_v*$zKqLCw8-HQ4!aL%W@Wj>T)dhfz$
zp&O005)$q)W5;IQyVs#>*MLngWN2-ytd-bybi*dqIAg2;2rJ#1XWej-PXGJma>pMn
z;~N^L>x}!g+edOw{VJ+JQ{n1EZzxvvKqByYFi<ecfbD^N1r14vz&DNS+0ga4&!z3R
zJUVsnK0@bWi7JRa!+RmGq0gwlcc?S9o$cdI&z?L{fb#}8k=%RbnMtmPA*KowjpXF!
z%#k`71{BxE>>Rz}_Cw$5s$_zU!@gI)4NLp4tD4$Yeze8v#;&lq@#7B;7~{oF-U|GL
zF;|nLsX_aEOGBv4tDq$T+$U{*xzjs$0_&j+59NQDX>zn?{p0j;NE(zFJ^ar(t9N>v
zJ+%ge@ALoVhR%up8+W<QvFr?1Si;zlUJaeG0vZzN8)l161b;DavNd|&4zgOvytMrb
zLvG(~Csr)lz7HRK*D<7CSxf*hgSbx*jxD7yfAl#88&&RqmOp||1HR3M5ZQd~o@oOX
z%#iKsWw^H?r;EufBW1ZVrrJV1OU;h2sEW4sRg3@VwdgqQm?=_cp9G%}<iojNXF)-`
z5SR6+yj=78k_@dNo?-3DzOp|%g;oCg;iJ7K!eXdtkbL0J=ksI(#LWYdS-~1y@nkT5
zFs##qLPC<jQO1sc&8aeccFkJF(Eaa?t9n->c2w?99TZ_<fkP+Vi80qh7YPue!x2As
zs4adg=3h_<MDF2c;eYu1eB5=)x40QksXf{j?DgD7V=C86PB!|YQu_9mDw7i{*V`-2
z@k~4I)HiD5%%1$~o&i8SBjB_27kx|Fn{0-uy*DfqL?Qf;=w1Z<hNypFh}!FS36+ml
zepS|&tsKR;L`W^6q9KS3;qJxm%<Ua4Wcj0(_;K$+T^Fohvm5=06RT3@%9xv*hm7<r
z+_<Dmm8!DAz(e6}W4wl}fVU1~UODN+#ggSi#y0i{3yhpqe=GZmWPA7JL(*N2#w}O?
zw%L;{VBp+jtnQ5+_f4}H4MxE<C4PGrz3Ab0I&0t5|4=X(b&hU;KP|M1)M>>7Q*Wvj
zoQPak)wX<c=`9m8gKf<c5<4DUaM{RyYhl$blEC$N4do<>`H!?OExnySt-CRzSV2ua
zWT<kl{HX|<6!au95j>bEMMOs4<q``V5zwjQ3KEP!?uaufm%oi`f|(_(BKd<^z=C%o
z)2=pc^eM22-}-9!%uYkM>K@FnG3c$KfhDXVuL~$uY#eKcl=(2tX6(x;Mykh>)_hv@
zAbe8iY5e>#<HzR!PBCd>(bt?M8~T0yzRzhvzn@x8y83Bd0xv(J#udz#$VeraAhk>Y
zRaAx#?Hyp7zPd~Ield}?U)%5Az59ZBxWN)TWjh})g^{N?@w5Ql=#uZ>y}K6^gJei4
zj09S%_YZC-5E>%n@QD*`K5g_cAHYH&rRl!Hbn1HJ)4jAl-qIl<hj)I+aC7{2QAIi3
zbHKd3#m}#8E@r|k8X+pk%Cs6^6ZO0Iiq4FSUnnF2DfQc!J`D)f>Kr7M{Iw1n+)jce
zVrJI$(N%l5Pw%>n+^ObjT5da`D#LKw-#)#Ii=||`QY7>fL_nrmVh{;&P7pjnk~Unv
zPpMdRdTMy6)?|x3dsb*jVF?1{icbA5&S@~XH@{5J24%JZ{Ua?2eI89fy^YO0YCfHC
zpZTs#a)dh!Vg)YD{jGSlEWg?5!WxUz-Zm9~w$1A)A+<ZO;hlrG>oOR!K|x`MIn8KU
zNj0*ZL-Z!>|3n<m>A_fcYnWa<BTX@5*!oDd7Sf;(jb2CWA;s=!V`EGkr1x0O@1?5@
z&=t9}W9fs)aN8MrKlP`7^c*;EhMsg<Hv?JR;;daB%1BGo9P|L<g7}m5rMg@H@!i%B
zn%qQ?g8-RHM=i+@=ReccGhN1}fxc0U-%xR)V-+UWD3<{Q@cR}EUjF_2?PwkSG}VZ*
z6o|RofQd)2rF5#z>&fWIcZG#?WL(E`$79a@k9qg8@A0y57bOy3_kvTzq5o>U8HOM+
z9g2$n@uT`c$>wI4QzEaCcW1e~58x?qr<p_oY$X=>+H3bc_5Atj^U(%}X1p%#cF^g@
zUJZHK*M}O)ti2mXTYDGXxzi36Gq|k(!GkJeHM>c)PqLX!K07hVb#vHXY53j3*aAq|
zNJ&bq)`|W^h`d$gc!H+rNGW&Wrj^ozVJ!(V+<663T9{()$=P!J-{IsqE&-M2gTcH1
z8avHU_3{~c?PF8p_K&&eFM9o$U&mT(rMA*=20%^_>6E29h%Jn{xzrOq{j(4DoqP&n
z=Ft3e-RCY)d0JT56<d89P2riuB{_Ed_zZAbcv7Gd8qQk92@wX9>N?Jy^T5XFi1zbO
zZT$d(Alt#@o~9xf8<i{<E1x#o7l)~$N(OkxSF8-$waURj_J(WYAdLlyDpN-F;KvjA
zz<A*c?Zd2*Lj%@LA`te*{3z?A0k-dl*@l}_t7uRqz644THamg^1v8csPb@XEnttr*
ziFGP7RPzc?XpEa^Jk7n^(U=vrTg&{S`}y@09;adqMjn5ra1Fw!SW!-in8rNWF6ji7
zjUdcYOpETGiV!pp4s>zZs$7%VCSsM7U^k>WuZ71F{wZG@A`^9o*kXuhjjVt65V@i1
zYxmwe-+{^XnodzCMjKV{RhzQu(V`QlAE6rny!z&N`I-!uU@O4d;lWc4tgM8vyXC_R
zMUob-X~3|;%9g<}73Lv4E;!%&^;{Y%QniHOLA7z1R0jyHXOMKUrwNXU-~_D4C<;_U
zlox2K<2I*P$=S|3Mu3Rhd{|7VW7n_u_Vpf8RyKXv6S;$h>Z#e5$Br2J3<;Dn&<u$<
zk}s@FQ71<dC!U>($9n{NtZ+)K*IF`7DRlnb$}<_acL}E_;b>-}qO7k!0Nw_yj_K3x
zOah<5ZbY;$G$rnK_l3Bdgun+;|2?c=waILaArr=QoIKtBs>c$Qqkcnb^Zj8j3di_o
z$;0`Z_bMy(Pj_b`<cvSs;ek^Rhh7|R=kI-Zpx&34u2r#4Au#Eh*aXj;K9jj+Z<e=2
zOUt*ux^@z<DF0;n;;WekhK8A^P{xV^m;jA~{~Y+5CnxV3Poe!ge0OGef7`3rcNGiW
zQ#;``KvyK!vu_u>F^0BXC2FKi>y8#}%PLzbRlWC1wbB)*x&q<T2yE*awRRvaCgD>c
z=S^F;HoSk=<dNwK)y1q%B0D!12h982wloehQ4gF2(^E&dQs^jt|NiaF4xmv>EH+0I
zZj?vZUs|%??4(*nb=Jf>y#c-aeSKBEA|gO#;iz_m(nVV@Y$fn%0A>_FIDh`d8y+7N
z?2`KYexCBKGWMAIa7?#QV~9m2ydD*`FOx01cTacykn@8a?cW{m$t^rb;oghw5uPdH
zP@sw$&D4}ePvoV4neMq_ocjg1im}c)Za>7v{uY}(GIsswfe$lmT?mft!<M}=GMb@0
z#NtVLuw|!Cf|!e<cr<i!{cz?KOmxhSk3u}sDNS?#tr1Cm<fTQH$D(bDt$tg;5GjG1
zGgF6m;m6p`u}YFj-+|-D6&8eO^!)j6GJeitQ!FufbV);hHRowCAtt)lN>O_#?N=X*
zzC2w|ujs^-v%G}2y31&`Kpn*73Tl{++t=0H+&T1f0B%*QFMgxW5i_zLgY>1;rk=w!
z96UNGf3?v5&(+d;)meS$YTxK?vFkQJV7ef@9T7QiaInP;<m$F(+RHL_L~a`Lrz-pu
znMUQ_lk5F5OU_QuKG3Sz@iuPCj1uJ(6=y<e=+dM6eB+^-Ma4md+HT;v5E|ABM(+5&
z3KDz8$ZYf9o!a(oGxklH5f!<2iRwAW@F~!<rp)bsI3Qps+l}b^w*ZYmH!`D~c?KH~
zsQS06aXI(bjQ@#R7FygwkLC1d@YCUG+=Hms^lcZ$u>BT2Uu1)%s_jK8Aw<+xk1%3z
zA36u7Ha=X3_-gS_uC^(cmEN(a5?)<#)+c(iae&TSSm$@|H+IOdk%z8a*&-oPaN@)Y
z%k;5<gQw;^e}0NuD?WPFUyL#oMlLgi;&5QVlL<*i2MkA@yS}gE?!T?Wc?1t!E+GlQ
za|3jj_@lt|Q#ilTPYB-<pwI`dQ#e=SnmAVw^@Mo<y?)RCddEQ;UzMm_E#|*r`X_m%
z+6W-r2Sx|_vkUQSd8~x*Ol8Ni`K>d9Y({kXR;xg5E0ijdr!whxAZOo)6)PBjQJVBC
zq6+5&S!Q}pNe^rj+j*I;O5IJ&xcYE`Qs*Fv{J#OgPh^u;zD##_ZsbmhwGnW!h65X{
z<!8l31u-%aL_GO*bC!#IFkDaX6m1r6ph8Q}SGhnq(;XC!tuPY?ywvO|4-4K%j^jv8
z9JTy#;p6zyTb&#Fs-3-g&B`e8;`%4oM(ozKu^5tn5q9pHq7w!@Lqd{ev2ex}l6N{^
z9q9HcxgCWWRHpe!!>h;JAMpJY?ElBE%Z{5vJ?pa{4l`R<IWc_6bYa9)etCH~?4j7N
zlgEu6+weGEk$5$#^h|~Vj_IP@5W)fo0>Wi9ZAsY1a!XkWv4t6W0>m@7z3~&0Kkj*M
zemCmC!?a%hK{w8xyR>)E2W**+Se<4%$F(mQpg(ga_RdmwfK2;fsm|$mjjx^BkpVVL
zF(0jckX13YopIqZ)8SSsUNNJ0Yzv`O`g&hxYVB__VEr6X_weN1kc|inH)yQbPgmF1
zFT5mY&oLPG#a5+1?Aa(v1nFi+{P8P>XJA#$t7mhy!`^{<77I)g7A18Um?Ra{=p222
zwN<CGfSY8FiwM*AU}7(n#3U1o6x!`(Rg5%NQQnA&FuygI_VsSz(zLT1tvh=Cl^vFy
zBzBVy)H9Iv^YasH7(@?(rGOBA(pQu|d?>`a|F2z-+f&U;-}L;NKlM}X&OZcg;mZJC
zF6q=TEmn2(#<#OKJig>p`^;f<YA3V)Dq59Su3tqa-FXGU45~Wi23!j!u>>*kW56L5
zpGI~RCXUaJ4wDMHE8F{5wSi%K&&wyqc%(1t@sb`LkB(UN%dub-g0IQExKp=27O!<Z
zMy^h9<maI`(P5JcWq!zqCIA&-js?Vd+2RxEM#Ej8GFi9Eg`0~PKW^7nVWRWM=C+gZ
z-V|5(ufW~WWNyJx0DBVDL*O1rvEotD2G~?Ln2cCD&}dm;q?3!<{Ps-&leRTHoi}p-
zC<q@+OYkMxMh>U$vcqD8X7LfuDRTQ0y&aF1+>6y2J$eZB2-8XH3BM|@_d|3wi?hu$
zRYx`M16(^_waxc+eS4*UexH};T$|lDx|g*H@{Z}0N&?n|9w}B;ib9ovm0_SR(p2yP
z-=Ck|`~ti}UHkrhH1|JFCC)>Yl?6@RFEFre;ibhYc7PSg%90Q;8kT%8yNJ0gCIG?`
zo{9%jbeqal%>a5c5g|!B!gMM!ad?R7Nu6B^Z?3Jj*UGL4lznsVr^n|rh5=Xm_w74|
z6bOSO054x&M=mV_?V;iZeTxN^J^GApS61`k$Qi%d&u;z3ZJy1PxOwuzNDE=J0GbzG
zyuJYe6v^`~SLC(MQ~94$g;NaA8!D18$Kto&rI5*81q<uxb%*|<BqAsIWQdJ<Nr-Ek
zZU>mUX=}N94xErUE#%u^dI&5vI|*vB-Znpi+G`v<g;~HS{l5MBX*=g^^Zt<``?|YK
zqFv0z!t?&U9-DU6#We`<|H1WW$F*y7VUm+Aj>JVIc*|uBo6_~7fbLPeiLJ!|Ux|-n
zDPTznywAnz)|TfIrVpa8R?z9%b;tJ3)n|vZ#_+*{bryY?6q>?^W#T&wuPH9M!icrz
z%0XX*{$1Ity2+)bB{;i(YY-;nJU8LM#SYkK%XG$%7oNg=<cl`vcV!si=_c%m2y}vd
z3HnjD^COp8I08|rX+9i>YcLf|FS(MLev>~xinG@Ud1JV8eOZ(wLs4N-%@5aMGPupf
zIp)qNkxynQE8N|uk=M(vbt}rsO+S%YU?3~(o!0!mX+uNk*YnoSZwKg)<k9`BBk!aE
zL`HrG+SJ!gzuYkk7Qugvol#I?EHFi0_5FDgw<Uj^4jw-y5{{~Izhv+x;lTt;V=I$N
zAtNF-1?6nQ3ftPjp(k_AyvAYsI(5sN5ZX7mcMWr{H=@p}P2u8Ttp+@>Ht6jF+Gu6k
z=n610>kd1Xp|g|4hAVY*n(J@ghk)7y+Nr1*y5w9(u6o$Zn?t2r43vXn;vOFG;tHW%
zsH4>aQAx1*HI$7bQbSkuGHSnU+xw>m2^ZgBkb|<v48HT>3ANnxAb1kg2m$(;T0u|-
zk6^6JbQHVzf^myfLkrXJ;bX&iezLK5Iz#{NZk8Pm{9Fei>v?yD;PI8T!6APZ%o{k@
zVn(~gV;%RZl<qeTNtoiMmPZ%bjRhEm6gAG<)IU6qpNRxuBI|#H>VFIqi{9u|1@i#P
zO8%quX#{10S@F1|3uS?n_Z|)#6!qiPwhs@ZODFXoEV^xLrN#5kW@+x+-gsEHcK?vj
z*xtQ6MF+n^H{kR~vpfE_kK-OsIDOytUTX2$>T-4?1mSXnq^x<#7u=%&3wR(Sb1P6E
z3aSSpW+4<54weGi(Obs67Ijup(Z~Y>s(<b%BJpAkZL3+s!1?3G$3`lJRvMZ3avuk_
zyF&0^qT!`M`vOf4S9f&4T8DrS#h8?2*j(gFq*Otn_jI+d0QOq;b+iR?vFn@6L6-8e
zG&VjfwO{Y)iweV_QwKc~{y5mk{>O(?h^SrEv+a`N-ZiEA(Y_LQ!7=Ol?(HSf-qEp<
zX(@<6+>2*Qd8^^@Di)rw{S>mt?)2Ix6ICx<NV{O*eh}pxPP2B*B+>@0a&!#5cyX=&
z_l;eu25_Q65kuezNRO!sYp|k*mKeHY$+$%n?$#_T5c`Oz6GaMwcJu|GtpR~01?D>A
z)z8dXyLpwm{DBTG+e>6NYG}anU6i(sA40W1Z28^qAfg`0&o48wlJdGk`{D)%CNWo%
zC8sgp(&G2w)CeT+Fz~G1E<Zuwu}iv<w>WJu5+`gouvV$xwFwAHRFBNoO4f;W0hzYD
z3iI-&sUCy(5p?mN1JE+DKYNX1#F9zpE!QU<8lez?MQ{Z7E&IEy*jqr>$=NUw!<cbt
za1p|Saxb||Oijronl1QOayI>c+{XW|6I#J<P;)BV8Ir%+tzcAkcJ@lvFQ})Ls9WZl
zD~>_i|8e5K%mF%6^GDD+L%^^}*<hXF^|dNap`M8O6XzvCzn}>dJUsmG2Ly(AG}y-^
zmWS%CTfbq%X=}w^w$>rpx-(rICSoZ`J1VL;`2NiUb#(R*+Od3+_DM^-EmRhQvWxHC
zo4UG?4@nlczF+tZj-6$<HR&+Pr)R*h4GAX^9g5|%#48vBPyS?Nk0YC&ZtHb%j;w@W
z>~mWM14ooJVCNJ`PKZAT3=FORxvKopqrz{Ux|!bn1vSO9?XN4e!Yt@1v@H24F~Y>)
zPxabEwr30<A}RMXiqfx|q^6ilgh)|9GLYro|B<ITX3>Hy&TP?(Z5oVAhrvkv5~Fru
z_F2<y+ggU#ug+gn_ajZw`=|Gg)!7Y|Labt;M&8xBJ|;P*pwX33KWpdC^hKHBJSn??
zkM3O<z_Prci`eDCVFaHV6*_A93?(@ohhN<=hWnPUizZ^j-v?a@QXRa8$bUG2(S#8C
z$FG^g`oK}4FnND88p=wb3NMe_P`op<>S4cyhF!k2J&P6l#-68i1^*D+MjSK$=3rw$
zDFvX{X{3XLuwg4|7_(~1vwrcAoj6@-ukNrrN>t`TJc**=4c#(^4pS>$+1b7@s1BN!
z{e2MgPvM@ZqH_LePRsWu{PC(kd^r7K3~cmTo+k@2CRcf{!}R>Wt3^g!*Y!-SyybQb
z*l?wTLovj1v1~`2eSV{`V=`VNB!C$4&<ZNnI;Fj@y!5uh&EvDA60*Z9r54&c+I|Pr
z2c3q4Wi0D$cY4*66Gvraq|$mSC;(Cn#j;}GA_r}7qKq!Pnwy(fL0vg<@}yviq5+OL
zdgo!qqv=5>4K|o+_fnlB^qZL7#yxoa@FDccD4R^PxsHyH8*fj<X>#F+D^UJ=6HA-}
z{0<a7o`-p$FleUcJq>H5ev)uRpaaW3b=*Qs^^LXmTlNC>7W}e@{g)=$Nebo_-BjH8
zfwt)<1z(niiehN~?HS$mt~m;eRDi~g!Jm2wC0dOO_3;co5ID2gQs_3LGm~XMqv^+D
z{I+07RerQzVONYM{-@RV{L=>`k=g^v|M3sl>0@Gc8u}4ikuDFo3}wn}-MW}X6}z~M
zkRvwaOL)Xma_X>CNjL-Wi%)>rU~WQ~GLF^wQ|)}f&+j!8Ua;>oAVA3;^>fl)KZ&gy
zm;)*kBI>whZr3Nz3%#UnZSj2BRx6n)?muNwuClXp$B)lTlWOO@yt#X@k5xz4AH$#Z
z8@Kx)KCCcq;?}KMCPX~!xIClld_X_-KkP5I9Z}jE!Vu@j3O{PW3nVRDIh;bFC;E_^
zXU;rDshJxX9zhc%)UV*ZkgM*a%%8`On>p3kq~}0Z3-VP!@27TLdN)o15(c24P2{!#
z73aLZeyN_0c}2dzKV}x4`u9IQAaG;ljil!<GFZM6Mc0>os?&V&;@XyLzQO>Xa8ZNS
zi0Z`V+Pa=Xcg??f_AAjJpOsCUegXsFU$*-SMW&;c*7!}8d2~GmsMur!ve|5?TvEDQ
zxYnkm6hDe&Hd+mOyUt`7Zm($H=GXo}W9iQwK*(k^b0(b71+`<4L3__uoxWJ}ElmiU
zH+MS~QSUsxy=wvmkmbfAipo{INuJaJ{mhaeGOuXKAkCg2Pg4mSn3)C8AN?P7@BP<v
z-~azxk*q?pQZh;kl~qWkq(oa1vQioxN@mI^Nt86mXb}yBh^!FO4rOE{RAi;3NcvtM
z$8ml>-ygnz!S{W+ywCG;9!KNV^Z6L}`|W-k8Y>>`cMn;^Fn<6AAchDh7*`qY3QTvd
z&^-x*68an68sX$4iaQMP7R4>o2?h*RZrQaMAl#?RB-xSSx5|X+!Mpj4i(_Iw?7l}A
zAkJa)5COo5<_ErktE>-c8RDBLw<(N@W%Q**=p-2F2@XJt)IcuB1_WA6h~Bwxoz&Ra
z_z`FFoKX4Y#9)ExudRN$3Hxl3ZZ7ad#^qCSop{i|v}JI+1y)@V;yjpe`HCV>v;)pP
zq^eB!z5Zb0Q49q^Paf_!4RdvQ?~*Ot?Bu8Pn>{;!;S>d*0uD<7lmW$#dGrz@`|S6A
zUrP}&Jc7R`^oUGclQGR=EBuRteL3{6ct5-kYPES|2A^rsJ6Newn{oH?<8VMAxmAn7
z6cGEL+fY2DbFYDS0j|4BN~-+WNTE+DHcVsOj=4K!4r(lKh*E!^VJBq@p$Sn+B2R!%
zyO;j_JUxkfw^cw%m^&rHb$6W*w3YluA!%i_Z{)i7PbOwC!mCe+C)s9L<93TSBYeIG
z-Qn!Bk&ij(#T|-YYL5W3&OO!RK1sSfmWwtJUANKUgFx2BvD2N|H){6R4{_S|%`|^Q
ze{3>mc3{+v{SHs_(jPg<6CL+S*F`E;+v_lEnFPlWcaNb=F=z!q0F*114Yuev3di+8
zEQNI)YTD9*NSZsxU`~+WAuR*R+=INkG<%oGt{Ge`6MXMaU3M>_nCX$+sUTJFvO?Tr
z>AQ*f^v%1JWTQAQ1w2T_cQ1Zt7r}Lg#~(1Hm*}#YhxHHGYVA_GogO@OaL%0z*yz(l
zJwLy7%JkOeVKn2-CrlUM2qvT}W!JDPp1AtuZb;W)$?E^_YX$2JVc1JTo$a*U^t*RC
zQ5(v_VWAcrn<96uwk&L_mu>CJCmsQ_tb;jy<#g73L951_8O)3>FG_tjs%DN5o^Ddf
z+-H0;a^MUW=k`497Ju%{Y(s=c6WvuxAD=cGnT=lsQ+3GlK}dIjU#eN%5UljQUvdH1
z9$4{9Moun}TZb1o`oQq=e+kG}&;@{kol05zm77g8pRmaboBlA;80S)=XgH)vuR`*3
z?QxYwQIrq;7RU@mF@_Oi+?g|i;D>FMNI7DiC6}M<i;?>VVKHry*WY!#|L-&HtJb8R
zyO9b0x;rqi3njH6S%cCNrvVPRFK-t%b>b8Ncq`c8HXF_!vLrMxR9FEJq>K2C;vgG9
zd?L2X?IIo)F)qd(cAt-}D`kDILbrZ;=M;wD+wMK5?~|YC)o+&c>J1rH7(b!{04vxD
z^9U_sC15A0?{SOe%w8`LJ8^g5K#Q~qrK@@_&=Eicoq()s0nQ=mNSXyh8jUWTpd3(8
zmRM5hYN&htnc`#A;relm0^Y6Q&FOTDy}vx|ebeNx^4vx2Dh9TK!Xx}S@b69X-7hSq
z4r$EzQdG%QE;HSEm}y9t(3UrA6~Y$o;=%zb9re$;FT7JIQ0>6j#e{`cid~(9NG&c-
z5p2sk?#x6O$lNYq?1D14`+BUNYwx#mXKgN>Cj_J$TByZkXZ7TTw*WVRD8KLA*#V@C
zH-yl)0$K{JQSbv1F;E|s^`0Gybu3SZ&X^_AWLtHZvZ5Ya2;sv_H~oRwUXZ_b5h3oB
zqey;tl&47N88%6Q=Ip4`+udFG=?nTl^PGMzs~Het9Vx-}%4P*PT*;>A7PS!WhGx-L
zZ$6ZB)CpZ&<em}d!=&GL2|as!&3p{3$B|26ALlxs=o6pjarkz|@%M4b2Qao{s&tE8
zPq(m?g+s|^K}IyCX5_aFH=Ig<)vI`LoZ-rLAG5~FP_r@o;62(J?Z1!_g<_R=B|f6-
zr_&QLkE4Pc=KGI?Rk%#nW<4qj!4BdVKA3ksTtQgM@B-+{1(AuPCzFUB!c|Z3SJGKt
zxfQaAu?d%oky4nVY;a}f=#5urY*s}Agv964t$_aUC7rl81&6nHZ{ZHSpY073@xuof
z(J;8XpEk9goa!=a(uItj9DW6YS#Go_k)FoT&_JUsF>6ax2;1&_+nb>sI=*(=GH15K
zpe}(rKfacQQ$XNRU)aHTk1)x}f7NBTp;GyTRd+wc`YvO2K&TeZqImEhJ2iPT5G{X`
za8ZsJ<6-7$3JSGq%CZ&iX0D!^lzu{x#8FwDX+(^50p&4(nKKt1bEci`J9bG(s%`h$
zT#y^Esb0yHh|%3RCV&gWx2137IuO!YHoru-eo)A9GZ+3f@f@BoXK1mrxtK*78ZeM}
z?3p3T=!F0CP+`*a=IvW6ch}Bs2bm-bPyF>d+LhnyN9+k*?X&E>zv{$^>%Nr-z_bI#
z5u!S&i?4hH9YS9Ic1q`yqclFhYVCz`LX_e_9U6qkO}(tZBwgeLvDoqk>z+S!qU~a2
zN!e3l)qde12IkXS4UwBPm~}FTK7!`O(kK&1&fIsvq?mS@eJ#%^^zm(t<QZsf`RNXK
zh2!!hh2y51-_U)FKZge|WSoK-h~v+{L#ZKC=Qr95Z(zt^D2ylyHuZatSdGD;DJ_oh
z55w6eb4W|#{>H7VUtf@&ba~2&R^<f8*9AvIzPzv`6$aqo9(YBWmGJ{5`mgxxUHX@<
zzG;nUEfN4`Ap6w{c!N49=G1HNc}HN2%#)Fq-*<ES(DNG4U;LOgVS+~KB*l><53`;%
zATLg>A)`}FWrf=@O|-CZfL!QR`_{?u>Te&rSGztwKB+;xvhC1?%sw0T?jND7Ec!r{
z2Bx%V!g85o=(b=WZ<&!icsyUqCZ_aoued2MRE9a-iSJ-B2+QbX>r)pPf~IL+I^o~D
zH2%TdMR1ToDOcn^O58nue3;$&!1~Dei=$=@-+w?dZ0PP*$9TzJck;>)oAgnxesTIo
zmPjE*?bZGqgj#Io=TLHp1q=PO|9}Axv6L6y^O2FV<>loRbOZ(pT$Uqf2BOY``7+Um
zhuI`coLm{_*3L6i^Q}z3Z4a8XmFzn+Vx?|E#B5A-`*!Z&-a-ECJ=!Xi4nq13kwKHR
zDBJ9J6q{Z(=cm|?UU04<`)3em26z52Ma6B5DTNP~nDVoViHGXldj~!Ul#%!FfBbL8
z=`Lj3OiGwRi6j`V@{V~De^3_)3J~K(&I==$8iHfP`OOW)36(>SgW6V#p#Vgcz2c@!
z>|LiFUS+d)P+RH+xky{@P7SI{tcHxgG;~;x1Opj~UrNne64oqvP`o@RDdT?W2qxG=
zrfpFQ&;Pabt|Z*Y?MzW2A%f2gBSDJvZ<^f%xC{L;dPRVa?>T4Jd+IV;?RJV!#s=KE
z-#*WNM`d8~bd7#WJEU85jl-n7=^+vl?(+bom?IqLItQD9)m6z~CA9qd(n5_xF=M3G
z&x^ozT8Q2A)vA9aTeF>U_bUXizXCx5#*YxW@_?2g0r}6r0n;MT7Qy1+5T>bKWZQ$&
z-w)bvgh$Ia>OSH9hC8HK0;E>rm~&XwnFN-;5D0{Tg$pp*F^f3L&!Z-0UT>Q%vcXF#
zv%ha{9T;Tq<g~|VfL2LamrS$F_5RJnHaBz#TUgXo(X<?ITZywiu~VH?i*NY+b1r@9
zmoA&K1<(gx&;CR@(jIv54s1@Ql%4by5uS18Q!3s8WtN#eTyj}ggR*jqc+LI?C4%}|
zg%8#26xKG{|6J3o;dv{w#9c}o_Wv;rK;}esfVO7}9T?%sy%>x5{{E<}_bcud5(2Je
zT7h1|GXoIHDVu6UAJYN~HN+@8S>CKL+!}=fTKLa%6mh6oPD@&8YaJLEm`)rKXW~pS
zSHV&dxziNvP$eKcQ3zJ^EYXP_ME-mZ()MP^rKc;l3c_^X+~i<7bL*O-E7zv$Cq0#_
zz1VKwLZu!%I)u0zMjYNdS&LMe>g2LDD!~A}Rs90y-xZy-(RjF0lehjJ&!)>?`y!X5
zzeCUFk5k)May8BKeEz<I?i)7`ig|fg&oLI$FY|$2gK0NCJU%`=-bK`nQIo<i?JGm+
zj=fCXw{y|a6bPQU{6HSieQpKqCk|Xl<Z5uqI=@gA@!yb?NpG6hczJr;pFYSTp}S1p
z@O5FxCUwT}!WWD6n0mBm>;OoubZIz-O-V@kDLLorHs2w+zb_YWi|uk^gckE7exzNT
za`VIG_v`OJ4FnBdu|+ay-#%e%E$lqv;^NGU9zT7m%uKR-d;gWMZa-;%H`BdUN~*3w
z@BQX}$p*VZGS-LeTLvDi2d+T^q{GCnI;=>zz|N`;4(Ts)KUOT2*v^6yt`t1^rXcsD
z5CiVt-z5SuSh(&ll1U5`meZo_mTlFAsKt+3PLv&R!Y;lODhz~EfdeA&kK`_s4c_*r
zZ2~L3GAGv8V1?C?O~El16GJnM*DSuZFI+MI*3FELct}{LR?Y4Qg7|s*Kiihh2-HN+
zUseGIE?|AuOC>|>Se363)39hczObeCqD8fxt80yK{BA|VN#=THo!E%l6JJjRYUKpt
z4b09gY{N%DKWFZ-{Z1=AAr8CCcLui+@eq(jf%begS7OUxGjSmi)MXXirTI*`9?;X<
z-t!U#0+%F?I>FR?7(M+oxtTs|cmm;NfAHPop!<Bpbv5ddOiPzjV_-N`t1qZ~`FPN#
zgO!`cu5af%_V%65(x}drvJR>(x^P18#-pp=-}E_=CZDU&&Us4uCxr%$S9n<1c6u4O
zdTI-<_mAIm<HC-4hg<r2Oyn4Id>I(INn&N;A$=k#xB=J~mOxkw`@}(>5Co`b44atf
z7Jol<diUIU!*fbY`=<69xKH~#6tRCW8-{7sa~s@wszEFD>bSjUA-HU#6|sPh34{XJ
z_&3F~Mg&4ok;p7)+)>-3UKdH4Y4o<Ji5sT}OsNqjo|to4wrmDy7a8eTXdU3-t=VV>
zmk>_A?MJy!A3ls*bGyTV#PSE%_C9#=@z0^s6?f&D;*a&se{0k&a_-WZoiRaVjyd9~
z#{~w!<lq`G)rdwc9g;(7#XFJg+7+<~Q|4LBV?7Ilw*Ve+X)ooS;FKi7$RJJ$Zsajx
zZXikwrcrZfq8JOD66ma|LZe?HGdMv+Hfa1^a{ZKN&Cp426BO0$2WW&y8TsT!qc=Of
zD1CuP%|y5SHePfb2ebAN2z~cC8*RUsh|2hC<Dj}9TX!Zjj2oAF`t_0U{K_KxI-i1q
z0a{7S^QfXZmmqX9+%q`aOK)pS;|weaYv1P%c9i=!<weji&CQLCjk{oGxzKM0XfS%j
zalm{+Oilv@mxp;s>gU3WidaFY1_tfiYsg+)I=Q7rge=73B+y{G=~x6K&c%*#AEwRA
z+!rn9IpDf)r|9S<cD>4ddqsa#TYNPFd&{I_Ta@|*my{N~8r28Sgt3l`BO~PH<Z|l5
zhTVQNb5r4t$&;PbE!N5BzOa5l6P)7uNo)Fres$MZuLf^Q$uskAo<GU@-&~*V+^8TO
z9p69%B#~5JS^1RD1eq)wT(EOEbmEPQ|H$iXdvp0s%i!`K5-lSY^F_8F!FYOK&a|lo
zPEK1`$l6T452S5&Y~sEZ0g_l1<bBchhI;qVWB5nq%jcawO`N!<JSj>mF63t_;e>qs
zrs@@~8_e{ayx=kkmKD^N4t0N9w}`waJe&?q_q(}Zx$i1ez2D!NACEUxcX{5;@YiYi
z^D=eKoqx1QsM^eY=rlQP?l<vaT$^gFb6z7?Pp`WB6##_^`OqJOd&riy__j~nS$;uz
z#ffy^cQb!}eSJ)Qb5u?8vb8Zr#tbEyWTi}tu~9WrjZFEhuA;J=qC+sD^#<sPKvvYo
z7(`V$SS~c^TA>*r^-fG)DOuxPO2+sF&b7FeKBXjMx=m_BWy&)Dd0S@{?Uzk*pRT2q
zt~YQOb)Ta4Fzd{!1&4M=CJ!*!`E#)LW}7ck_qZ7il`PM@t*!kuTHc?|Q8YN1mtd83
zm1cb0iU-oZ&6R=6u2t8Fq`>9Ae+MA!PI|7=)@Q214BIU(uUaay%2tIuE7(&tdY<ov
zt&xN5Ck^oS_{!^>y5)D@O{uRXygpngd8GgP>R4Uf*D%r+pRvAh(ed5iF6C*oNrE0m
zGmcq6ca_U|?EPJdiB1{owx#W(*b3VvsV^Tmra8O3<l8~N%g^)e43b_Pn6{-U<<;g<
zqYGy&+S08@52xbSHzd6s`W3|I8w}qSH7&RA?B_pjZ?_8ETVMuayvMd>f|gbvh7p8U
zasMslvi*RNoe3`2gk;a2)s&PYdM@fZ;{A;HqgUC9Lmz5E+(8hl)o0nAp}IOPZ<A6(
z6V_{;y|U2OO(r-rR9SsO<e?8Pmj<5%cOB!nR^Rg4rpndl>`PbgF)Y^mvbvR-9->4_
z4(n#Ozg?(A#6Z(*r1glI%EO0?2x7s4hJ131do8PcPa55>Ouybc5-g1^YNnkWerHR?
z=bs~cA9r~fR<i$%yXT@!GQah2%y_lFhjFO<j1{Xo_Os>FP0F+D^y%>6X(tz7{;T%I
zZq1rlpHN#lewi@tCh1#4Lk1Tz$S8s@koBj&n@|>Tqhzi=we_P&oc!Fpc7^wX9Z>^G
z_0hS$wK2KD?y{_l3)hqVrL&*D;o4$t?XhJFchsy2kxxgdEzo)JDdQ~|1}mX@3r?Im
zUB7=n@weASN8ou=SJ#vjkNseeAVzPw3535Ci$E^F5zy7`<gK~Kus4lu@LiGN-B6^_
zzG_*``XPtc<!L`XzPaOj&*%j=vKVP3{ceJFP(ST;S($9KTA$B*u1L=s{=nnY+Iv;5
zH)V$WM^^R>i|Eozp<mLZMXTvs#EDF&@PNugWQiaL6SPq#Dk7mSJ>4tDVWOi>%h6*p
zc1fK^YHz41zW*wC$;uwyUM}|+7WFoXmRfjY^Ms0}_~dl$+H+<?a$?jCoL%01sS1cI
zdh(Ais&0!nTP_XhE(R{Mlt$>NUMQKfq%EJ1N#`M)4|p2jwF0nWmo0&cNKC55mm%(s
zN=)f3Xa4l~^xm)TlkxtT4qtxz{k|0+A9Uwr&x4B=*2~Z2#BTfBafQ-(t1Wi>T<V?V
z<eY51SKnJzyUd}>-QKtrM}LdAFHhTT=-N7_w2~|DLv8I_#wAc;g#&{i7DG2X1;_6?
zG>X*7@oMq@Z+X<Os1s(HnpwP_++fshj`{=jH*v=UudK6YkXt{*=-=pDu0gZ|#4_ai
z9PiJmH_I$fR^9YqK(uV~s9aV@&89=NYb@mcA6$CN4RUai*b$n!?xO(wCQq3{-iW%G
z7QsJ9ER4D{lwy7BC7G*gU#D-}t(3N>O084-?t2y0<%}f4Bscvs-MDdc^^{U-b2tSq
zZmyo7Og@9GQr(}aHTf=ZwLYt~``)j=V~{n9_FAXBoGcjXzGNlGa-{NtVg!YrJN5bH
zH44IyD^S7r7Kl91s86HA5@t3AD_mnXNUZADIWh8!f#-1pr)3EVo~OsP9zwn)J#gTT
z_>755<KwSfyH>NwhYCi+((>N&HHXWw*{#1csX5LOx!F&hqvQb&5Va%S<-D}Tg@7!R
zH`XbN@g`FOs?7G?f_?VXnX1Hhl9d<}QTOxbyuaC#V~0QU?|)@|_rvRLbsI-2Z;Oe?
z$6@Fsm3^V#j!c!i0Td{fsPF?JjR$ScQ7R?#Rcdfz-~XN&yKt<d=b>Tcc~WY<dW8-i
z-Fc3gnc&ZX8jEZ?P<eod$>iSbfR0yQu3a&hnzJF|CbhN`Tvaaccb`7x^O+g7+_Ag%
zC9)4ALPI0}om+Js%sjP^R`js_9DjP#*NSV4M;T1}ic~k=^ylAiO*Gth;2HJT+&FI7
z%)N22h=j`%b}1uXSTOZfz1H~i=giZ`0}X~2S5#Z|j%<}_&|9{|pJ6r!WZ~M7II{zS
zSHoD46FmmH%43pY$Qn5MZg2yI$hpmpuC^mqK-YcF$O=Y=W9!cBoQ>Ci8ZJ&T``hK}
zqIMqgRjc(@S7e6N$JYb<WcH-`yv=!$%({l%DyXZl?cd<4i7ifu8zZostaoiq<*v`3
z`dNM$^!?`|y_k&p=I_hJbpF7I*#Zp{`+-5{3HF1l$;Pc_QPW6bj^&D@&B4(_F!t%(
zlh6FMGUz&D#i?5YQQ1|maKLA7*#wJ>Uf=y%zfJVWUZ3}6PpHY>5vnH7&rDN>z9izI
zfFDz$hVY;6Y)We7ngx&k-hXQMeDRyCr}?2rt5vK=77$P}J!k3xb^?sKW!yF(I6Wb|
zc8qwm&<_)zvkqNoJ#sH;&Sl@D_pzPbjus5oNy8lNb#-Aks_eR|_8Z+0yE=B>>r&5Q
zs(mf0hdI5PtowHeAQ37*1GRqdV5s4AMH(S9JKX(e;;m^rg9U2pbea4qNzcs9KYups
zjDO$|I4>-Eds<qW>z}rAl6fR)GeAs*Cm@3#iY^f$O%s)p@osv|a$jNU&ifQb9EeqM
z2qdAy>Wo(w!Q+qgQ)Z5TbaLWUufmoo=5{~3;Hy*6xMgE=-B6zHDa>0yI%ScX2$cq<
zFo|Q%yswnzw`X!rZSv!NDc>~?Pgc+M4q-9}meLawQp{XV)Q&$#-Ug@0+4TWy`U$)p
z4w$$#K$nQWGq$lQwToZR6t?YP-)G6zCc_dFla%Ibhn{Zl(X#b-)4;Y>I|lt860G@K
zdwmB~N>){2@{|A3t16+J5*%3ulpfW^v9ZfH{(bl^=X%KOwjY~o>ngl@FMAU`S|Ag*
zZx4Mjdxzqi&z}o8M1KLJ;t_kX_L89Sh;U)(D*)t;Cc%5C>Z_Xlk5Ha7hL;4PV_m1X
z%;ASf{at+XA7K<0d{4#mg;k-!@E!PlEl$0Dyl>hNrLLQ2&>h)6Jazh;U?^~Ei_kPK
zP+>6`x9%LhWG+AlBU{sq*L&>Ok3N|Hy{_Ie!y$KUitY0;6|?qyXdK4qC3#@matHi-
zM}cd+z4q<q^6c=|yYJhzOUW`Z)VJByL-kty_wP$#GjP5Mgp~pyy-;Hks41Af$Rxvf
zt%OPX-0DX=KRd)-43jaeTD~UkbK&#T4zF_z18?VF`|!!{>iyg*Pcc2>+~*nC<X&hG
zFOujiW83uCZ8OiZpn;gT@5#sud>U$*ebe*ssqJS~j2*gm>$V(6XfVa|K%KU!LVnGI
zGa_e*X75h<f@2Yb(J1^ILBR9F9_nP8j`9`%-hch9mYf=s`fgI#&?OPY{Q_c^-t-H<
zYiyP3{m#8;4%MbG@TXd1-B!MRTOagpJ!Ast5VwHbMd&otM)Qoti@ZOT-fsC}|6aRr
z==8r^=6;yc4xstqnNy2J2$Nk}H6vO<%@F_pJR@1~VqqEM@HH4NNvuoO->30?I&J3w
zJkOa$9<MeQb6~Zq&403#pvok<I`oKrutZUz%cA0O&PQ4f`I7<RaUod~3YL(|2wEV(
zD%<n7;g|OmAp&<4iL4l6My_A`WW$FyZ?>hUr)#D-9ICjNLu}40lM{6ADc?EiXPKGZ
z#gh*>oIX|#R$i34yof*-M?YHx$G!0)jU0%h;pM<?)UH6oR2TaRwNF}bFv+*3Lb35v
zS$1oQhGv=eWSll`!MHwsU~B#zdOE??U+0;g&|=Ri9Y}K_XvQ?SWK1oX*lNwuW2mHI
zV0HA-`Oy!Kdg}F7Fq#l}^11tn*)86*#KPv8r|0|j$}1o*0f6J*E41KL%ME3|{KH8o
zypJ=(rVY0$JDcp^+f+qIVtp;W>kQjL4u3jKm2r2K`%){T{~-MB`3n~?b?plS208X^
zn3F<tK&iy+aCpwtiAeASDGM0E9#uQ5Jb{Z(@W)}RaCYxk9-(Jw@z+)ESLHX8OsSPL
z>MTZq$k7#oBM1o}z@h=)=sDFJU{Y{GxZN}n{lkf^FZFHw{=JfolYQ@A05^cF$7{!~
z9uAk^e%YS=pl|)ls*F<osG!Lua@UIFVPM)^3S^<*<`MFqaI}u_2%gXl4x#WT;a7-^
zE?~q&E<zHuq-kD|qJ<i&8vQM@9#v-3_w^03d*E{1rUoVKmg2>DcyAGd0=RML_<~u~
z$9Oj^;bV%>J1~WmAHiOaeb3O<3l%@JHlrg=b_T)y)Sq2k6>jzT(#2I__j})HxC^u|
zfJ_XXAs3-KsRpbAO%~a23%z!-Sxjl1$xrLcZxF$XWb9fcwz@ib>}#7c)_<VukJSai
z&t|>Xkl~vMsXh6~m!L&W;yH2J*u~+LqLihuoJ@C$_g|mVvgTu-%i#4C+9++;EL}`j
zSq~@_2_#)Y**GH8Yea-aL0{96?i4F#M>IMveK5Y!X}{;&a+$iV$?g_^wgZ$3Q(D?~
zW9q%Kf%hrdIPW~)+-eVq`**AU@OcyCJ*LOid716$QWN>STBTpGfTBgS!nixncJ;^Q
z7ZO4#W>Fk}316?wy(LBg0?p&iA5>efAnfOzLQ_I^Mg&L)+-uNyS#a}A5{y!wMl&b+
zsuvk&7D%*bG)(J!o)NP7mOUR2?igy_P^?|pBcMabX*-?13QMt#=h|cJeR07TLyk>;
zxVY!JkHR7%BEEQ|3588AD2&3BZu@xCto0zx$xBwwbe9;ESZlB}D0ElH)bv)9|8l^@
z9}EuQrJnHn5PA#t^?fuKu(NI}AHLQ-=78V2$zvB5-%2%p{^SZ9Ur?_3mQ$uP9)vQm
zJcrjicZ6|s;E+%SYoIC`@GiodA~SPSWsL)+%X?EARi?Hn<>kFo9XlJHim#pE-#Yg8
zn#zJP;=Eu;XZy&WSwX<ri=1s>|AN6uxkmRV#QB^5cB-ze+2S)^F(JQYl&nHghPnf(
zhxfpr`3kv@BM*`23WtD2jDrR8T?EoIO%|IBS@*d#dQg*sQj6~ntKv&>Cq@p_zPi2N
zzJcRBYHd&@0hrw>Dmpu>=Q`jebR&w``7>7sp5C3Xc(l{)IZHQw-Sy$M5ulk7Y98zu
zvQbA{KfYtUm!bsIV`!61S!}OH13!Jm)LzrMXrcej>2hNpja8A3eX-AErKZEAH3rt!
zeV8dQ&scOKY8>Jgnx6x^cT3{!*T3mgnxToe<vNAPta_ulhMjH)oe?TpibPyBgAl>7
z&c{5`8BF=h+=E0hW(dNHG+BKR9P$x;V+^#t+hOi-lHqpUBITqP7nUe1-&dM;Bm7%!
zY4wxBL2X(OH-Y4)KJmEH_F3XW%<<djwnZK{UsU;b1j3ADpR^HwV!wkNr94eCakZcA
z-*acf8lP5;3ubo@{#<^j@4kaIZh4W`$Ai`m6;6=BQEK`h#`jf~{ikK>U4`$zrkVZm
z{$r<pyK#hKc&^K{D;h)AR1Ev{%ldXh>5#<|O@ruFBiDbC`uHaGHcAMQ1y$<SW1rXD
z_PLSoJDqS|Z}~XyKu#}(l*9>uL?e7&_bopnE<>w=mcLF_ZSP%El>KiQZ(b?4a^%dx
zy6fuvsxd+c{`jDB#-W3w_Wk%gMzWj5H^a=&*)3P^Li<_#wq$E(V#&hZ<%B48_1XF1
zfYyoORertotfsyV-V!$RdQE9=pEm2jo=eCGS@)@2_IqT<yf2HrW1>5?_lX^L^Gaxx
z`U2)b7ur4!p8Y@puaV?F$|}cGlNU}=YFIt>tU*-Q4Mp2qdN6rzJJnNO4{DV-bf#t|
zznmGFZ2P)>*zH-xU+)+i@3dB)8!>qunx;sL53}S|vOj}3Sgp2>7_;;GYPY0?(`r;q
z7xuk=C761tc2ZLDN9$9tCrAG&=%z>Md!yxtrK|4~7s*RUs*dhdI+#7he7N}<1NY&x
z52`Jt{I0NhS5^#KDc8B@5HkZ;oq8Sh+h-RS{XV*C)SHhX@1Lui?KNHd`9auJD9Xxo
zh<nNFgq?g>*2ALILqb;7@9;@QN$I~s9%|Wj@-r8n$V^un%0^H0F~N{HWXO%p-}ACN
z;sU#*qEq*M)2CUC*?Bo_ziwub%BYY_ZcoU+YHnN8@RA^ztT{1z<JS0}=5Mmns<~d|
z-+$vKg|M7y<WSy=W*lr=_Ai}uvVle&sS5G-4b>eKXEpwiuuOFA(6dmYHlz2sROMN7
z3OnhIQ(d%xXPL<|+Vk#$1U|i8Ik%<v?%fyJFn&TGzRV&ma@!0qeVgRNie-=G+QqL*
zUnz1D+OmqzcWR^sl}5@v28yEo>G)Bz3eNmh*y1eT&-SNoU2&&Hs=GU=c8-6xL;l*H
zSLd(ZFMkzqCiU#AGj5mN(xi63dbOj&o;XGI5!1$LH8tg^H7v3l`1A68pP0a!hnY1o
zEw3}3i?$YTc`cn}W!|WkS}Hp{%1Pq9&FuZItGW_fAVa_Rw~zL#moGaFnlhzqqt>XA
z7V&%Z3P+|)Ka#TJVp4QFNvFIhSw`x=V;>|9bp|u=hb197^ZrQEnH1G6P2&>YIeHn-
z(6_licmIb0lG{oy+H2i@@uFpV*yEfWW0&&N{D|JuI*NZEw|Pe7QCWFg&tStHVdsPD
zUaZOL$~e9)=qU8&<|dW>iC<#@x;*jE7^1t`|68ivgDR;4vpLDuFM@>7nVC|RYWb&%
z;Y?kq;(#@5hfLjU_HX>V|DK;eOV@h}S$1Z~&qs9?WWg6P9vATp=CRY2wY4SiWN<A@
znoBz&Jf63A=q}X}h>PMA6l?0n=KZ&tzM;Q=G;dyM@*+mJ<t0>ceq}xMXH@Pd5d+Yk
z86BAYG^*>)>guB+N8A3Np-^VXv$jd_(<>okii+{z&6_7qC0bu}v8<h}E!v|Jh%*a~
zKD(8~RpNshsRIK^xczbMw)Gg;unhyrfB$#(q-`^kAOHK$#S`gVqT>C3zp$d+z{I(H
z!@vKaa**EfQZm8CPZ&7fr=v^6|NW7>*0kGaB|xfwzp}1JoMr9*`CS8VwjXbL?EhcC
zY*w3F`<t>6rX!fk-OtYtrrp7-1eg9>h`*A5<o`O1Y+Q6}Ftt=7O~v(z4ao@8h~_k-
z$NRf53P<(F6$3$RpN(oF3@l-x*s<fzwgposu=oURgZdJuezHjf_sb^9qJ7w`ACAGN
zhW5e+N0dA}cJ5?h0DBNSvO7BZxu5#sfr(Z@%uYZ7gqYy?akSI2!kUztsqNCnf#d(Q
zNDh?p4-E|!R#>-ThPTsgVL~eh46Votshb|Ip{_nhB(3|?y*a54Qv_V<M#&^gO3Pm@
z?FsJ-5WxB~6p)0vQ}{!hh)7}8d<T@HQ-Hzu*j(5ib1I=h_ha;-75NxO2A%C5X=&-Y
z*jzR${t+TaLkfStT+gpbR*8Gg;S@}SM&<PI21Xr1#_Ug6h?DAZygN!xnJZLMhqXoT
z<+J-K_U@$L++>@xrWct_aJI!gVYH`jJViJ*0Np6UQ4h_6S`8E>e92(li0uYzNW{f3
zk8NAyi7SwZjuaDqD%Mr6uWO5fB`;5k@{S!Vtl0pdpgr{=WroSmOp5)#6)Q^jYmr|I
zb@hIT{A^QGDSl<*((GM49qZHcHGpP-L2_WN03y8m@<qf)3Ys?jc7EkdBO?tSH@@Kp
z5WroK;4-iguN=#c@csL@#l|YYV|-8J13M73A~ZNSU(V^_lXm=55!{82&End6kE6$q
z39daA9fUOguhc7tzw`XXi$bJ;JJZ{?Iro`nLR!n)A<+#>y;J-e(LZ5m02qK|8hh|J
zA3x>-z%l}fXIKgiAc}|Gnw6WZpWP-mFma3m3>JYBVAo|z_4<*o%{aLgOAw~E*rHDn
ziUq1wlzr8X2OD4!32K2TUl}O^z#sBxf!8F+TpVR0m4f7q68EsJ?b!p!9&&l0aJE*`
z_VgWPHT;E_2vCCjNhA0Ulmbk-?UN^pn-UzcncDP+s0s}DJR}xAFZ1$jz+d69L0$hl
zAtNNqnF=|F!$x56wDfF|p)Y>I`Z<l0zKCch@C#no-?aQgq%rdzuQ0l&t54uB2lig^
zd~vdkC%zDzsfJ(|ne;&!85wO?IrjhfC0N$h&%&OK)C_@aGYhOvQfWPg?~kw*zIjs@
z{Ezwe56AGwNCOzE)`<*vdUe*lmv;=jbflCZVaK?Zgja*#oS8i`mow-RA~Dd2$KY-Y
zV-c1K-#g4E-t!npu=(Z~uEEd`2cQIue&NtIymxM7uVa2ThsN$Z>5ocbf80D>A4Ees
zdwkrumq<+EJ$QNO+p0zif;|KxoXvD-CYsW658=SUctY3?fI*9cBvW@17K`jx<`q}C
zg;-B*hyVSPkMk!#045NLQU6(6>lW7p64Hc<m6jj}Ch%X0uC@+K7!C8Rw-Z8C?dITy
z5aKfkD?{tH)VyuGK8v6vK7&wK17E!V<-=x$Do$<(tzU!VdH=3E^u$L(H2|G4_i4rx
zCXO5uQkZ_@Tb@|rRJwl(<RPK?0Xtd-&2#s?P3HT>K>-ADkH0&4!KK<P#Sy~B5dA%5
z&BIeitsB7kwOwY|O#I>(!G#(>rT4&_1IC*!>M7<!Fl_}hOo*l?tr<dv5l?OZ>#InM
z6rKgtePTKX502lMK+?dkTIl8CJ2*p{o4*eebP=GY&v1?^p6KB?4R0HRqh-{*c!*oW
zGi3EAec$?9&V&{VY=cd^AKL;@Dxtguyvc70#=hzhH{in*+tI=|83`nunY(#;suf!~
zBgB!8#z<%hfnJt#a<h4-IJVwyi`dSAYms2s6^5=JP4vU3Pm4Fi4!mG2-O2kRoV%%F
zXF?=f$}j)~t}3;dh7*)+7cL*<eBpe&4eA(4+y~c;c87C@FdzqDL$HAh4;%4K&@N})
z{M}KQK=Lq`!JroB2Eq5>B#mib<6KJW*04G>;Y0``4jbk!okw$voei}Fo$Wludo!gw
zF)=2}^p^5gda@&I)yF(L_pLKDAyX^`o`BwX48Cb&4O4E8&W8XAKKYV$SfXKQ*Ou!n
z$VVI|e4{m+v_oTBr5^#Kv7EGPG4|o&n68}xkCh=!x6(F7F#@9_AEPyzNDZi?&JXqv
z?K^hy)Er$-4nf`)h(Uh-?AA=olHlnB$Mv0cAM6CW#}3A@ej~$Xp?sBP@iB0oI560B
zs0``4^yoq^uYh{#{WJE}M>fRv-&wpA;LtzswIHIByC;WZ^Bm4X&(AZGZQe4L;zwLT
zA+NmrDGyr+0bFAWLV#w-Pj57-fJC;0`<)}sI6bbUt}Na}_fIc)Sw`Fw%^y$2!dB|Y
zH?8C#CvZ)OVL9TY+>?6;84Bg_HryPM&Mt=8+#Y6Z$0Ymok=zXh^*)JKx%_4%0U{$!
z0A4JVe-H=?q=2%5zf0nPjEFk~?Roe4^Ij&iT;_>TSC8s=??K6=NjeA`i*7#0zC{Bj
z(6`Lu;a}k>WD7fS;(#VILlt>NQm0GW!#nKC@8p=#hRrQ3K=5i~3ob_ok2LAQ>a81a
zRbd2F0P7u<>rytai0p!?7H^~4aB0FHbAWQephN;Hc)Y~23-fE<mCMt!@=$?>tEeR1
zdipB{0S3o-Z`6q5c!uIB*bf})E2u7++{>E&aD{F&$}&Ot4+$mVY0QMU4;ln&Pf`%i
z>U&WAUvn5RE?gOW5kGl1ZzLVo9wmjyB?L$vea@gu39##>v2P#=iyMmqLCl@lFd}NZ
zgX4^yyV}ghx48Jd<ANs5RF=AcIbK^(+Ac0`fCq{4#lNRO6stWW;>VVFc+8<Mt!rv>
z24NQVA&69|INHpMP?sF%)IqtlgFT~(4GGtBSq`Lx^N7MUbTlV%vE#lYSe%F^STH-`
zc$QpV<0v9_X~m1cEpYGcz)M!EYrHw>_06rp7~Hc~83YAzx29}8L`e#UB2ix5HU+N8
z|Hw)r2OeuSUg9#Anvh>067xitkFvF?_)n6Ub8<ur3p^0V1gKH9%jrJAeT0--#gjQP
z0obD$gPp&8nK*ZGursvY%J<FTJQ629=URa0jc-9rO}V^;W=!xiJ9h5ge784WGMY3y
zE0rgsf(&;chk<nja&8Upngiw@D_V#VgtIai9>bxpS_%aKGs0Y57-vwsiO0JfEtn5s
z#o@(L;%CGiu5iFX6*ZLbE+Da75U~|}o3}GD90$9}ATx$GX5zrvuN=8`cXD%B^81)H
z{f%xoLyfE#65pDc$e!hs@S=~H>!xu~(_kgAYlI^m=yP%?cNJw2P<wYO88O$7RaqBj
z)mKVuY&19$bt|fir0L<NiGtBDu6qtup7vbsulPj`TNJr!*`UHLgSEM;;%2LIo(-09
z*i8idR`YOo*B!Km3Rc8CiUdlQif_g%LISdcvl0@6LV%m;mLK#cyk;I25EHXF{=uQJ
zWlHawI;Y$-VxvAoI)GN|;_6oe&CQDqGG90Cuu6V^D%Mv>afK6!n8=^J{;Q=$?)S!S
zl9J6U+^i7=^7chQ2jUl@{a5zN=MWV84<*6pmzfP(RbQwqYj1YzNXDdTl-jS{jU6N1
z?(km4VI@e)T!*6~KCR+fXjtS>%RHeO6g!$UOCH)i*qL;t2O=U2t*jm?drbFf-WC-#
z?_|z}?9$Q*3NN!zw2m@3XMg<8L*YQpW}JYd<VnMz-ps`hbC`=iAJATR%2*wp!|-cJ
zZ;yIfkh*t(gD3S}tbH5EE8;0JSUpZPM`25i<<46V`{d?lPO(X`{EN>jeEXm>3IzdL
z8K&mbH}&KPY;(P)cFH+=?drMk=a5E~wYIiyrX^VlI?L{mA$Wb@q}2tKG-5;qT78mJ
zQxG&K&I6bzdH8VD_yHJ<w2QQAp;;&{621sroC%z(5o-1a;IV4qwmrC|b+HgMaH4Qx
z2^(6033DoFZC%WOe)qk%W}!}#j8_EUlKHReab0nSX<<RZA#Jab;u^+R1FPULYF}8!
zL8K#c3Mx&Q(5Th+h$350wyf2BQ~j{xlo4nF`E)Bce}!jh2D3q=3qYPh>%}PV&?z_W
z@3!0x$)y;&GLI0WY(XdGB*i1al5%P4)Tx@&YGAZ7RAHk;o*LK2Y3_;I#VizSwFX|3
zStwzy2Z2!QK0F*I$kwb26P$4=j7O@fs^)u<5%RsUv9SK|rbvzDPCo3*V$WAZy&U9R
zwI+WJo4S42RkGC{t9VCC^VVq*@Wo#N_(p~Hh|n3tipN(sG}T~c+3OYs#zv5ojIGX7
z1CI)`CI-i~ZhsmwyY1M<S;n(SpoM~@ay&87h>^BPSom?2noBKbx$laCbLC>@$@t58
zvye0MZ-x4vIgDGxRWo`-OXJ|z*EY~d&g6xNfs+EWryqmqbPgW0JE@!fyimqIEG)H7
zjH5bVq0dW4jfgwzTogZCY`8U0{%U%}YA77zbV&cDGF_9{gZ-q#vl}i<y}Tm#0B+bt
zG1F3W<C7|bYpz+<(z88-OHFb24zfe6{B%wgKHw?n!NA<U3D-Am+2X}?GsP}#E<E7+
zb+5Q4e1F<g;0g68x90fOFXy*rDoP4;fJ=QXH$9j+a6zp{I{iokefJ|$-}qMnnVFft
zUy4a9>S!)_ts5&BJ9QF77P|E+4v62M=X1LYiWt@$3_dNf6~uh=@TpI}`AE||Ka>m=
zrrZ?U)2H~>6v+!V|MLqYM1o9RR*gs`^!C1o85m2$dCRfAHT(OJ|1R<cW2b)NV-o{#
zhdbcP`Y(rd>h2X6o4*p#8sa)+bNDF@OY%9zcN+67(t9Z8o!Ltf+A)qzMg=(fu@}=9
z%0M6tOfzGa$5wP3kcU#_h%m~R3V0j-4(CPuHPL^Fsp#~U)v;4I?KpdOb(EL>;+hB|
zqtHeCvLEijgCmr+ni`+5k9H|8Fa7c!QG3%WHUud(etk6ss>61Y<>+T5qIeXMoHQiG
z8t_BY-Q_3-IR%kJuZa2mG_JDk$Tx#z1}Vt=gvl>{L*NJR4m$c)QteYQ3{JK&W!U`s
z^=nbrK<`5sbDQF^?D_p;M~|Wbhc{aF++<R^T=?b7m#<dreaA9l5EDYHmGpQH*JA*{
zUIMBRJ~osqL5*hiR7r73j<*m=_YUgB#DhL1k4|jd`0)kS>*miJyAbh%2wnX6eQ)u9
z5Y!v09N4$IPoMsY;vMwl5`II4CCWqEzTTJ?QZ&E=w0>F$dsLPCRv5YQuY?fFTY*b}
z5ll@|_o|updvMDGs6xzT|4J8C3>-zF-({~;7xzIQR(my?5{UoA%%$L{cDOkDAdh<Y
zOlK)DYa7EbJ$=sjBQIV$!h*=AIHu2aUL|9v(pN;fvk&^n%0{O8W_g2ViDYU@;A}1s
z2DeHF^G7YXr~&}MtslnD6_a+dlGl2933@-Js7dQIyE6-9$-u;tRnxYl;Xu|L=}uFp
zO#_Fsh$SC^C5ic*H+OUi+k#@sA8%#&JDB_P>jW~&_7-Jkmo8mcUnfJ_P14ZNH#QEW
zOxt>)e^Kb(c8EJ^Z5U3ZPqmZogbH133D8^Lc*D(Z+<)H-yO{FhsQm7NL?qdz4T10%
zkJc8Z*ml|+{86?M4gs(rG&`a~pokNw6b8nnQ5_k;<F>K;$PtH(WChP)P!{?Wn<+6}
zxY3~9^0z=sA0l`$Ajp#^PbU6{9KFQ(=a-4s$u;YVP>7D^4i7$B+v}vxG(GM_k&(%B
zmWcY!8B5rYlf$I(2(F;83q*}01No$Sop;uHLEobX!Iw>NEYJ-d6Gm14<&g=qHdZB|
zO!_~S24c4c^&W9({Hor9(bz;cQNZ?S_^cd3$9Y+Eu|JrSxUQHK3ssHC)xl?Bt*7Um
zyLUSgSUGp#3x2nVh5<Yh4h|eY)-8V!=L87|6T^cg1JID-Oehp_vjgT5UAX@9d<sP2
zZpP_0R(#+gQ#T4N=|(aO!82BJe!$e0q$C$-9&R~Q7~IHOY*4fYb1B5<UtTTGoil9O
zH2H0GyE20YwFJ%9^X00#M+;2d*HP8)5jS7@lG`14%i5mrC25)C*1o$Rp<>w~*+wLL
z$g0{1Uwu(G^Ob!R6pE3vmloTrM%DxR2qlMkhjI1d<#8JpWpw@wAl6k%DuJsM4PV-=
zr=@X~74MJO)d~nqv>D<>UCSgQ6E~6>Q6s`B`bE<T5-I$Lh#%`9%x!61h$Y&*eMNnJ
z{aa=Rn7a?K(7tDWczjpR0cZ*LPz@Yfe!!MR1X_Df*h?ZB<<Kxnwpr%nWW>_fX7rx1
zDb6z+lCjuLz*)IJt|&_K$L(MOD+H1NR#`1ccj2;%mIP7WU9Jtmq@!-3-)Rg#Q=es>
zVl#?PKrorGk?00+-8l{bSop$Ges#$0%QImyg6-XBehm5`M7Z!mQOd`GU}`_<+%Ndv
zMYpHi4C@v91xI6t!Rf~ZDSjOrLO6tMf6wuS^_l96yO)6oXpf183^{Y=%ZBN%@u6D9
z?L$XHeHzYY!zkwiYddPf91N@u@#84Zg}njd;r{y40D|!>9NJXlGastDAm--j0(8~(
zwV*_+;#4*}JU)oCu{tGUA<K!YsS7Oz_Nzxwq<2i&G+9keZFXDD%eVM_@X9G>W=A!6
zKz5$C`NysD@&#J2$NR|oJT`p=lJ}fDood9YWwzMz0@|Zcc9&JAufu)7A9RAAirJfJ
zKd8!c*q99-)7YXbzrVdFa%A|bI2%=wQqL2oR8=bW*5WEG1Q--<wthHfwquhj5iCI;
zT{U~=HjpwejH1AzgGFWSF+|tr0h>+mp>Sj{!XH_95IHuu)$ok4%Gm*`A>zG}y3s_D
zAUBA<nltmlR6DhPTI8RIbB*GZa_lZLO0E|nA*0xf7#oc_0DUs%FsZXu+3>yKmh;o1
zk{zwq&!0d49Py=Gg;cxx(w#&M1eMtQi!Nb0n<u1Eo28Qm3qX0q>FS>5=8ZHo``F98
zMFfpLPm|YC#RIDKq9k!*S<#3Q#@8Q{P^cQ(x-a-Zl+kKJA<wI7*Pl|H^|zdU>{nDi
z?(<9{Qv5m!=$!f1-hmTTi*?sf2@978&U2AG2-d}(O5ilckzzZ9NuONAyL>(w7Q;G9
zoc#5?xwpJCm?2ADTn?Qo=mPjF=aa7MEgVEhCSzkg#JEq-w)z9e!U<Xw?FA$CCd7-Q
zjvA$bVd2AbOJ~qph`7;5E99P>UL2`BLJg|lN3E68LuB;VroV+AI|ODW1dRFkvfu2}
z`6*;9Ui&#752rES(ts*KjKvpUpG<vGVC~0Wwc`8R5!>=o5Ymb>i2M3Dl7IRY9yfQy
z3OZqGARGrYqfc90xbAmGOr)700j9w*#^MQZAsWt~^RHK$B0Q1X1lL8u5*CKf)c+8a
zG`18Co_A)U2|wIRJycP$w$np&ytLk&NCliYR2^H+noe-qMZwLv?gS<&9wY}%_|XFf
z?*n_`_7p3&QEgMC{`~p<`zX&L&mCIPeL?azO$2^GHMtW#S)6C$p(z{AmanlM8BYA$
z(X=hi{hnP}I}Fk}fVjzxPt^Rycut-CTjZI5UK#uR-E;szc?J~RrilkQf0w$t9<K3R
z3Oi;+W9@`(s?UaMY98P~AyFgIrzK&Po0}GB78C0tW<xF{M}#Tp;y_(ATu$!E8T;@=
z*{NDQJ1<1&8@6vh)OS=K6+Cqr?oV3}T$x50%sNTlF!g5BuQ}OIZ%=Y)@dn!NP6H(>
zN+&0YTX63M`<+WCf1-MjLHrx857DqvK0DRUP!2PtiCy{o;wrA@NyeK5nQcwCezXL;
z4aO8-oWsKtMHBT*=H^l0J0!pEL5#{dXrJN6rzQUN!4s=aDUog5U~5}bO}Eu6JoJjQ
zT6gT&F{V5sS`a9$oxHrf!HgM<iYM`F)gyX4ISv{S<Zz1W<)$Cf$%P9SK1+8t4;g!m
z(pP{s^ei#Smu9Plq0Q>AvqBPnv~@_bEK-N)Y0f?W@-RPkTmZHVr&15jkk_R+JXl4|
zEdDZ*eav1EtpvHP_;j?ESNFqA905Ylkth&h>U1)z+kdPm7mONNHqP8Qv`QUQ1}~$s
zb7oI#=lwksZ=oX8YND_?*uUUG1LhDX)E14@l<d~+9l#ysvNWEICf#HdORmltbbs%V
zR{H}DeoAaqkRKGBhQp&2Ri?*I0Sf||mjEO=37tgy^>LsMj(mY+LQ!-6?+uI_w`5Q7
z?33I3w7o}N%UKY5<;t_-gq>RAP5_-4%%R5UMMRai6Gw!*yBhXT55DWL@9lijO<&<S
zwhegLyt%Tn5@^5S`#WO{yN^|E0%8(2zbLIK!A&VGh+2yiP}zx_Vrs|}dwJEnTcVXo
z;o(akUfSF4QyQi!Z8KJX?AWnCKflWVWS3?k)nVVD3Br$*hm`901NcbDw;=m{e{;Jd
zz&85H%~4T(ISi=AOY>IIh$P#k#cYlobufQZ(^q++G7rrT3<}v}U}qN!!K+b=FG&qq
zO<w}E4k|~whu{7K2h23At##Ia5K$ds{D8!Y16=UNDepvj5~zx}5-5|<F(UpQ%x4%u
ze`=muy(WMWuAsqEKvCfL)QmPeb~c`)$3EsD0}T#k;hD$zDXw$wGZBu*#cg6{_MRpq
z<x3;M>*lkwQ*2gU_5LD4wK&wSl<(6UbC5D@5I?kto)>i2=Cn;vhDZ6EH*fT~UO6nd
zvg*)C;J1IKXgV=blX0^QOPqa&dK)igZBWiQ>gigIg)COR#Nkv)^)<=X*Xyx)>*Ncw
zp5%<sojbFYqmBb)QzzcyHACdo1Md=*PL}UhLUv1+PaZdJzt|eUG2mZf$OP7M=h34B
zJV0<3k&Psdy`|Icr|sev7J)l7!lz%a+)BpF$dMztx>nfN&SnzAR04nZAfAyxh$!}i
zP@Vkt1q%-A=+*L`e)X3N#B_!u>hAOB1E8@s?%-UelNKN@RkYE_*@;&&wU6nnw+UTJ
z5yxq_kzXSGWL~{G#(&jg#e>j#o0_^KYsJ;CQg|*fodp^zogx9Sb=|l1uqXx)5^#^$
zrp!YLTU5Iww)_8bE?asHeiLv|j`MRfkqR%L58&SS4$9_FrMwbZBx2e`hzxf}2vuK#
zjp{G>jUR~q1_)IxFizH=5nn$?)tf{Oa5`85adZ8dp)D2#2P+|c>Nm<+kzs~Kx)vd@
z#ijwR#K-nuSr}6|+R?F5^-<}|!CXpK)>c7#B?Gf=zGmj2f#DAI)rBuw^dwY~m{sS{
z6X>RIPCRu=)Zw({`t*UcgDz3+72*zWWMEZ%_>vo=HREK9xWqGaf)4cCeNQRjc!G(k
znVwphqD-)GED~<36KkFU3<_Knbu4~?7<tVbhq@gG1_NHtjHaeD0s{cbCL%>6PIbe0
zzrQ|=Z+`?Ov~A#E6(A;!A(@qjX{nsu^yki=y_{nW-AKRodeY-GC&s&+Pk10JrIei=
zMg&Q};8Ckr7w!G{SkNOgJVo#_CYtO-LBOQWed|2$mKfh~(+fa=zq2&z+vz%t2dh6n
zziVj3;V2z+_mIPU*cx*Td^((eXj%K^BgMT2_@7$VFpE*60cY>uy48*`DrKms2w_HG
z2>IT{=yyNiF->{-mU9%e9+F1?aZB1UcPrAYvSNBoFCfe~$YDJOptsWDHT^L_T;a*W
zBerAYr6kIAt{yt5vVE4Cl4^a&QMo2m<R`3zP1;E~-Om?<p?4R99?^f|IH=~3@i|>y
z&{j0Pswp4;rFLA^b(<#|bjpCrkG~d9>m{c(IwU@9=mnbrVU?AVJ8By!c(u0v{^2h7
z6Qt@-eg0T@4}Gx1fw!cx=;}qC-`99_&-0G!XZz(&N-hP~-osnF;990iLk7Y7KJnGl
zrrl6;93lpnOgd;9>fk0<=We(IZ~@Cff54P+>Rmr-?sw6*ntJ`aAWd}dKTa`c_ml2W
zGnhSQQ!erWQ~ErX+Hp%*Te4#XHQ4LYtNr@mE!HRJzPpq)-Jt4fT(ev1Y=<uAE4<83
zEEBcdyNp@DoVZCLx#=w{dyhAW*AP-9FZj>jCI(vP9vC5d6Z)rWkZXj1RxkwAavY$)
z^5V%83T6quPx{;@&-Fa=+Liq&XF@G*N}WjDF)OkAp6d#4-p>!Ns4gzHo;D98W8Ufc
z`V9YcliM~^f_ty{3Qpj;Xb$V-9GM11M|FG1%Ih23O{hMhBQ4`UyndQjb%AB*m(wC`
zCnu*1`x`q~PBg2Q0X+w3`hzW2{T`Af0)zw5ZE;5%b8>;_0WyZf$1gouJS*8oyiEu(
z_Yp2MM7U{<9J$M6%$QEQ{FNq`w*TcAcHYWkxUad!gc9e%T3c<^7QY%!aH02MK+GOF
z6|;s`2g|AsoF^+u3bS7@SnJ)tgZ1nE)$+G*N^UF69%WMZdlb#n5<qS3kV?8ROWGkm
zDyK;`vqIz@mJn$OlZg4WX(1!G9cwgyPZ-ugYq>-lcOyn`hpM_wB<F=*q4Ld}TU2=U
zpS!<cLd5v6hkn}aln&#+O8%T6b7QLsN<f5|OJYXSzUMK*6>SlsCkbwlb~aV(|L3?>
zf1;#49Y^}+GE-Cg`HDSzZ2RpIXSrq8T*J}o0hiq7)#Mf5gV@Ep6E*<gvGXsv%5voL
zNt3NF`h)_VC+8etki^wl_-HJ~|4hU7k@L*7Ym?Q7cAU}kFL{o5>p!`y%f2akulmi}
zv3Tj4H92=Ax`|&+e)cXvhVMYOo;1IDReR2HZd@{&JhtjPZCW2?vpD|L-5nR}mHkes
z2v}tzxkZFwdfI%@Tp{WrdIsX9@Rl`T{e|UMF+Nf^Z)#RY(wvl0;s+IiVX8D1z*Sm0
zI66|vE{ChIX>QD79y8_ejPFWD(#D<ivolJPrX~3IUnevF^7=V3eRV7%yEyQ$(8UNh
z*k(sV*O~XXUsqYzPQ=6Q3GU|KDJkOWefit*6BD+{i5dW?u6pvWKD~Pj#uLmlW*r)s
zRl^uDrX`?QELB-I@aD#wCW&LR{ftM3i^v^N);mCN>F!ymg}{mriNfdO6wkLH(+Qgk
z5AR-cv_t0L@B1D{j9Ikc*i5A~4mU{c<T;HI$%HM7Y1&oo#%33cquzT`FhJ6BY2Di~
z{#|wy51Sb}FtO-aj68@@4nQJJM2hkx?p~ornl)?pf&tA#a_f#aw7QM<<)PS*>B-a~
zo8tgv%j#xpFZscPKU8EXOug3ryuzFBws%K$Er`+9s*u?%oaAA8p2pY>d_zn=dGG_Y
zJy+aZyb`zq`#B3@*&eD-niW3u=9ihEaAhW|(uXm0fHU;-TSZ#W_i(bD#XPmI6!zXn
zoTG2bQaHiO0_YZ7l0!ezslzL5lmsjX9_J-n8aaTHqu{89ywis%b(^~Dr^&qDsIls;
z|J1Rjnq-76XNE&XD>OCSVTL3E@VpDWe|(*e=s~^5z=?)F4c$+i8hW#8*QT{vumZy0
z^`C2Qo&#k`*dk>qlg%I|^^+#qjgEz}nd=j7x(MeRPB>BxqcG+g!w@ks))<#*5MIa#
z>J{OAl6?OxHx8XSK%raln)vR$mc6g5++_Nt&K!Rlp51gBwD%w?kl83HqQ3prlU@1(
zVd(I&Ux(IT-|3WW^}Kr3?<rzx{pwX~`nL;omK>_Pz**#GWu!$@<1iO=pmC&9EqtQ%
z4+tmI;{(h6m(687&~4bT<#pHhJ*$yfbZuR(ZEb{5b<+LsNlH=?pd$=CQ8;XWG?_|m
z+=@Cy{|z_aY#O8=bqAEd%lj*>f;O2a&X%FD^TaM>Uffs3<m*#2_#EI+^2mPhoS63F
z&weoiH&lWXF+a}j3Dfvp`vwm6UE3?{sl5B=&#(&YxBnJ|AOK}yKq!z?kduY#<I)Xi
ztylhVi5O+VZ?4)h9YxN8(fQt7G^|QxC8f80BrE`FNJ#nz&oxZ5>eY`htXAOZA7hDw
ziB{6>iDW;1;L7Je=`+Ew-)oOrxe|vsi-)({`wUsOay2EVx715#>S}DMZ*#>_lGS8p
zEM19Vy^N8M+V#ehZZ$=j7w(|W>J4N_jr#k!1|1t*I58Qe&XI`v<|dSA!ta8G$9Zxf
z(TbRM5zo_bv~9E&>bDQiZptS-Ew(s0QZBDQK=w(t5-vl_R<4{0otF>5byK1>PVaNe
zZjib6c{;yfG6{(nx45RQ>J;x<!};@{Z5VV&5J|WdseG5x8q#+=J^#rm0K)7%Xzu|B
zoej1AnmU7rJ{bGd%XmFVhseVFPbM}xq9Oo;$dHh^Z(5~?Ee~I)9z(4&nUEeToJ2~K
zSot-ypp4RgojsF1@Mcd=o1Sr?_?<d;uIK5wzxV}-l6%=;cDCi^^&Z2MO-k2#=4l+9
zzgiF_aad!1THRkFiiCy~|EP?KJFKGJ+6E$0WloSj^(zG1g=5-QyJh`^p~RGk`uC8>
zwY>+tHZ{8CNudMiv`MFWglYBjv{Bb|@dHA@yg9?NB-4mlLJG;e!|$i&&#dx?Hi(?Y
zUNwiMSK<BTDG(5s%L9<?3$~~EgXoAyU;IAr#%AwEtx*LUM+tWeQ!<iTk=QcD+jYv&
zxh5y(6%NewOs0LJpL4c1pNFp%K<6sgEZ63@zeYx0-TPJ`I7~s^U#uLyPhCx@(yYde
zE!AcGjp{z&$tl=S*zzRX9QJVW>kJ2Lrc&67BfU=3;E7K(Kx?JNiCHqB17Xf#3kTY~
zD+E!e^68i74O@Yo_UwhzqWx3TXmyy+l>NFU)e+rYC;bPdQuXGLeMAITS){f=oVGr_
zG#Lu>K1gWbdG^D5&8z(Ot(S$1S0H2HnSNDwMzcoZe?$*;So+yu#S%BSZhmFyg<TnE
zQB>rxS<~m-X`L22sfS~)iqlq4A?b+q07|xz)-B3|%v7lf#gWv)SEt%61-zU8VXLd#
zD#%kuj!&?Z?!;K-&~e8|8`V}`n`)#fz&ecgKes4>i0iP3^60kZy3>hsDtpgd%4+J`
zcTeP)o!#9`<~EIy>_B;wQ&6CmbLPgkOFvVsl1~UC?P>cy%+m$*>E!JX%SEx~+qAJR
zCW#*g_3yi2coN&zD*2*Cj>GC2Gh!1tP?hbAlg;ORvFqWeQxRdM9G)vY>FC5UO&tP=
zL+ztQnYLz2YaexWb?9x~=Iq*=dud!t!H3buJ1<?TcyRQr+2+L;{QD-2yv{@qrttpb
zYs#ADx7a4z)H5bEjZnD_OG%`y?@$yfYDkZo(@vesIf7@jw7;Lzb*D?RkqVl=a@zYU
zc`fg1YY(UT1ZqaBRahQy91RU({HjNt2nYrIHKSJ$mYUD&tD;rc56D|rS+q9KASU>I
z?dGxoBmO1k&&Jwo$gdRmA?<O9X;st2tX0iAzeYw}rJ8$4HXu{Mwd>c9{NI?cxo#<3
zB)R}Vm#XIP?_%c+hN;4>l2Nh(EaR9?ea1O7=6cCC{T9Sx{x?X@_^{bbz@VrvJPe^=
z1eMG`Ukss!X10FO@V{<C&<a+&oP!52ja=HdoDM*cZE5|KL>?38jjqFU=*~DCSh|e<
zyZ3x$)6<C#OB;zipiLihQCG{gkMpEmEFCUA<Fl<_VNkU!+ItzmKooB<dcdY%-rRZw
zu$r?}+<LISzu%GIf3!tcxa|sEu(VJf=d0%C(7S$r4t>d3vsh3QaN1wsH(=`?!vyzl
zQ`FV>F^s|*F=t`bT{t&!FsuVc9_M`T?0CsaPF{Wvkvt;mk6S37hmMKh1;)j~6pzkT
zRGF`?rp#-l&N<Pxt-V0EV0(1ZzXk0IIL_e3eKF+m42n<&b##-+SEo0pu>c&yF?7?=
zSxI?qkq1s&sa~j;p)8~g+Q!0J_)FjEhxPp1gB_J%ny{TMkraw>I(kPEd(=QzdD^3e
z$suLqIEG+*`l{~<4D2#(OXD&mzCywTb+R$4jNVYnXe3~^bdY3EDb<Sy6R>RL+`XNj
zpK5Xc9H408<zBrP-EhyTW1P(iZE@B!IUpba_kK&4qTi0HG&gtnQvks%u{ncgV+Jkl
z3a~2b>1E*iVhAZE>rRHvQn-$4_E-Dz%fM~XPQ=X$Qwpf=R$WsQ_;zfp<=C-l1|J_2
zh)KLSvj8cNq2D2sMp&uG=x&Lr>W`VB8rV^>?Q3%YHO^Si8*dQ0WW7yQ@ADI&35rlq
zXs9z}R}q*E;9dvRhtOEpVN>o3O(fm<bd2pHFXcTrA$fo1E|MFemAOEDImNt7Mn)gX
zLRq-ri%PkhFsIYuCc1a4L^@!h2(oNAx~er+$Vd4E9aFA*LvZ|idJfDlT3|sKX3R6V
zWiXS*NsC%0ppfJ$Ukivsn`V^d+qyeA7~kd;w>N*~^`(U$GuLJCW;c_R#DG6(*Ihez
z?#vi0UGKK!fSW!-pJ}K>6*ChQQfgf+r2y@|{ML>g30IyE>J>6!zt>wBkBsO0SZJ3E
zPL!6yE!GspCwnLX(-`fanXG^{SAV7|N{T5yW6VbkHP9;WW|UxOcaXBh*;S(+n)=gB
zFO%J&G?9u?v&N0JKXA8s<6R{gimI^|ug$j6EeW4DR_p&5w@K6WrA1AskdUxHcSZLP
z6|s0l$R-uD<Cv12d>yiw&dNEjjUT}E#BFWG{~p`|l{^0A&(vLMJJKFm$@T7SKso)8
zAvH@8LGuAV{O_i3p$o?p+k6xuf*30c%W?Td(+rIYO_D5j?oUXRF*DQN_`zcPu|G|p
zpYJ3RhEpn$@eSI8<9bmcC?(c^d%f>jiU07?Q&?UUC8PH5WtCFdJi?V!%+@YnZgO5V
z6!wfDCIJ6tT73X-&S5FRfiv5_qQ#0G##A;MQdK&LDG5#@Sdr4Hh7n2h$Un01cPZ+D
z1*}un4IpcPjZ(=Z9jVQJC8Is(mfYUaA=eu_OL*VH-WTg~(F{uz^??JrSUSk$;)NLr
z&bNMknIiT6)9{1&!bgQ+^b$trDv^0+9ZjOfIu;40R$_?}S*8F6Ky-C;RM)i=Y(-#I
zQ5Q4ipj5jLP={HyWt77<sKW1_Jv{!WdAYT8kj1=pN-s~V1&zoPb8SKNP>hDb1esY0
zIBhAUYCi0_Tm5c<g_0p?Xc}}uWlq6l&mSuE!V<L&Q1<|h;OL4$C(Zodf(lf`k&JL?
z)Auj;<FI6+C44lvkmoBtM?ZG?S8W6daj2*z*$skzK?wnTi3t5O0d8Biw73_iAzB(8
zHFjsHrD9l8ZEQwuVa}CM+-Y<xOrJ3TKsz7DEEE_WlDWB<v~YCRmnkGIKF51f@%zxd
z@aoX{FYp%stF}|u6R-ZHVO1hv3s@0K!ZHp!S0_E`PK?+Y4cnc~7^v&}=K;4V9H%NV
z`JssyGFzS<=I1^1A}jtup9jrS=Y<z00QQ&H_b9g-bz@7Tkk~Uj)WEnMr?2B7a|=dO
z><C>Ar{7yR5-<fwba4iV|1~6A%qsb$Dqq|T9-k#p;7)#ixFCzCPTxioBydo;ut^Ip
zsS3&t6%d+ct5^3iKZ0T{*z|*2tW_h$14Ah0KD%veA=PsraJ>fNambI`vBu<zq^-aQ
z$ltw~&=MT02b7+%mizwVphZI$mxmqI^3Fqm<_14FHk$EknaQOtP*((RkV=#3qy}@(
zU$t5c2n4PsqvcXIsQl-M5hDc5R<))3bVzj^X^%n01<M=KuyA0Y+pC=@j9@?w5oIXa
z$y{eYA-6ojZQ}A@aatR3l}cbOr^86|nA1gWeF>xl&>&eN-}d2m%I=cn<;EM=NyIGN
z`NCNy=nY`huM1~4ZQfkZh}DvsRG`94;IT*G@Y+qc=!N_1)CvHUzq#yzl1EQ=1s=Th
zsb{B_<x7?bBXcqt9$5Qv-%%wrAeFu3L!S-@M#NLlUUB#<19b@>0frERFS|knjmFji
zupGqRC%ljF4$1oado(k2;pw=oR^l?wIT&&Uoj<=eWNTmb1${@49!)HrIZX|{6jXWU
z*M}y!&5Mz}MmNeRuJna5>ydvktap%*bPB;sLw{eSFEnk|9>F)i?>N{bGwoW?*_a_9
z?s-o$uEHWg0(}R-7c{V)V1B|-6Dp44;$9FL$PeSJEPkkZ+CpVMrezGTmawQZFDUtW
zz<U)M4Ek8%QcxP(1}RtU89S3l<P-ARW;j^f`8A{N^GN?L38zlw@DS4HD8&qbj*AnJ
zG?h1%7w4}O2pW0cAso{1IKrIojX_$9M5b)=zF@1udy`&CcN%ed^{ZuUiA@>OEx&&w
z(I330@2EQr{Y>V}Nu>Pw@%j0`E)SF>?SK#pP^76?CK!fnjiJPVMj-TJ`y%IN+ufG?
zVohy488HU{!^<so`_G-TSdpxG@#3XbFVD3HrMSmc!ocP&9vsKh>|wXkmZOsR&NNo-
zMOm7oqx`Ew^1Nk%vTtcxy+>{=@Ux7s?;7b~BbCSw++_y-u1<hc8&Js}T|Uc)Xe6HX
zTlNmYO=gZoh$EqMvhzN0a);#EkY>wN?VYGCaa+YpN@!GsCyt?#aD64<Bo1dHDkm{W
z@2vekelzMSgw={ve%uWyvN34`Q1Gt*GLWjI`t{B(&HoQe*B#GwyZ)t;P{_zgnUTGs
zBqC%qY#C*bj8syQQA*imN3vywN=O;0$clu}l5CQdWdGjxbAIQK^E#)ehwu0ExyN<A
z*Ht|&xOeZyKyKZaaeT**N02KFaxOwiUA%bl>3d@dGzU0v|36k1=P8;4-biYgIaSl(
z_X7EhG2k*62K~JNz>rGSLOdJSw&J|^b?S9l`meg*-qep{y>j)c0mQu6UP&3-AduO2
z=@%SyzbNWu&p%b;g?H!wEo#qpj63ZX5O{)ANyzC&LH0oMN5tZQu!(HwKRo;>4|p=H
zde9Km<U_8w-NcMutbahXEnwDgsryItc6Pl&3rT>#vdOQt<AK{7w6rp_^ON1aDU_V~
z_F^xZ3_^-oS>2tuEJ00)#Y%<<!PcW}kcFL3i>?%Ug%fy|7m^O37;gf@f%9w&K|o@A
zIqh=yT%!&))b4EDiZ2ICLJI&Jm`1fD=6xUr#O+6f_HiXwYi*=JB-sOe-fyg}Cmc&W
z7TCmO9uNRva($BlH4ye=i+~Ia1n&+XvK8dskSI7To!X6vc34peH3GaHo6Mz<jtY!$
zmrtbj18!<!T^f~f+{Vcjo@vL<TwCyJq)2pm^OGRu4H<O)capEK^HxwmVR5+f0zEY~
zH^w(2^+flnofd?w5Fw!sM3%A&z9k97#=|B@2mauHa#7%SF&G>Mpv4Kk7(yii&lrm@
z<EADg170|4Lv>6;2;k=a*rxtil-_|gHDl8m>7cDgcKl_vzrc%u>1Z)X7JH(c8$4{W
z-cfg(22o30KxJWZ>J+3#4<Q&NF~NofX0ZS}(h3UR;}juJ8m|N}+yfN%A*^DJ*aY~9
zHG<kXM|bz54aUjk0YeY=)PGMNv24({lA;3tjMz60&3#<PtWXr|S%4vk2Ld8XpPwI+
z!4%`ZI_Kd*W(A_pyop0}xRHKLXBcP<9hXv)iIS3LDC?24r#V6r^GipfnHbdrRlCjK
zUJHIAMU)Vw4>QqNU>_3wDaztDh!T$;J2pK(e+1$-Og+LNYV`iF`O<-M2M#sT{e%y9
z)Qa783<k^o-sq1m$tHM17B}}((c8LTY5s&C%DvgG$sakX_f{=ED=QG8uUIq0I$>`9
z<wV^%L{*VI9bAR{`}VP+LnpbwVE$0&kQt+p;iFoZ`tyf~WdV$0Q;fhrMBW#s0E|f`
zO>@40Z3>4IfKLehv;eYUiD#hfBsC!FgmroGL-_X4ufAz+4nyaO!O6aOw1vj9C_ssk
z9I!0dTmul?s7+7(;GMCggnvAYZU44A(9?`@@=Ba3NIdY&lShmt{Y~V}D)q>yn~>(9
zSRpw|rhm7yvy&#6#IgaWBPlt!SK&w^7z|)d!WN^gJcmOWv>2v)k=hkxnvec_9t_(<
z7YPV~v@%#xsE_%FjD<qtDWj`D@2=xnWeAWKWyp<Vr72H>K81L5P%dGn%Jmm8NM0d%
z@sM&6$2;&Rw96z45PUl_k|9Q%K^6*7PE>8L(5^u!jRKYgnBzl^eM8y-@xPI0k4u|$
znt<7*&^V$$!KV|3z8II->2IreGi2Bcr~urGS^ypYV-MH8M9+zf2WEhch&sg$W(ubm
z+SJwEmw9A;?)#kAK7|ua*>kd{mUcMJMl7doLx_W3#O^5;#TPV@ljkqyy<hh7=z&o4
zv%l*9rsWVa3?&!A&~d9YOD(MeKOsLBoHEdRY*is-R>7TD=^JP5si#@OI95XWWsLj%
zTjvbjSLW_-FSqjWzvGM5MBa``d{4ub8eqhjQwms}5X*q-?G8jjW&afS6)<a>oZSV$
z*z{54pd{P8WeXmeK28rJ$pH<}DPn*n4mz1=<v^sa<Cc?SMR7pz77q`DrHO>ZL>oIh
zj0)ou6{XW<DcS|!H2&Vgm`PCpw<IKVWRS`8%)KF>TdYjCN-zCpQhpuV&%hc~?sYy+
z;*>VJOJ$c!=pNAYhN9ZQS^54+@*uhzC{=gk499oIjf4b8xObpu$|)5d9~+Gnj#de;
z(=DmePFPyL#m!6Iwn9stHVHfxsTK>-Qad;~n{dc<8oxouBXj9jw`)NJYAfLL#nx}A
zu;M{sfjIPBC<>EuwX!+{MGbnNcY=|XsCFP1$<GkjsDil<>tn>s$=5~ebz47|=o4|;
z{cq+o>?&XjY7x#1aiB$-am&A=eIUD#gDrTBSN(U#4%fT@{^+-5H2W=<n9kR8W?tA|
z?9f7jL;pQW03C|1@-Pru^y>y_o?V9t#=$CXQIEr_^T0a1GZ2Ib<kkR>1*hr3OG1|H
zNl7)bp%ab&*sfey@3V7ta>pwS=manb?M6^o*akz^eMEaGdh)JqZUwYU#0W5Fu{&1#
z$>Ya|gk!gHa*~4!`wJL4865Awt=4;>o{@-oA(`vc{(}F8BCHRjJyDYaXT&a$l94$K
z8X2k$AYqcy(!{`yDr7+TNH*0L%Wal1`th(r$T&LgRGwFBdvxHW<E}riZZllD!Y<sY
z;WM{^wf5NN&08JN_u-@p#KQJK_!hu9oX~YWJ^Q<!0!${6fxu&l?gIBGb-*=5fCE;%
z+^Zzy7W(0r;D`6>A(4M%pO4ZMB_lTEGRi$wl)b1@aEB9b4`zU%2C6qW^#P@g6n+}X
zfWz^rrLB!!g}NfJva<5U*<Z@UQUz%iik<z}oI@|6hzA6-9`X`QRVA7X^bwAz#$aSd
zxI7C2o*vjrHg>6M)P{knIrJ?~*nZCefxQBo3)eQsI`es*TUYtaPR^}+D){52zSkRx
zrVD!pDUKH-?7O9P;faT07?sUO97s4DHPAvpBnnmK)5~jqQFqgwdJc@ok7vtolK5RC
zCO`J6KnEXM*~`?j+V26BEWi~LvTx==3`Pdq;W0z~*O{;cn-*NR*;t7QXI-F=rNtbs
z<4OD0<!swhgys(jHf9JNgDSMs4XRf{6_RVDt&Q=>k#`pUcPtfvWb_XwA52SH|C;{P
zA;J40YylLPTXQc7z5dQabESq1OeYlLF;W!4YfkjoaD6sJf4mB&&~IhV<k!SRE_}df
z*T9q@1AhN_-}MxKiU5zxvHJ0xs=d4l{?xSXHh)G|negE=v$BAUhk~vqyeKpj*ptI%
z8qk!WGAD*pP)UduMgM~Jh5W9qn>O7(I@|=qtt6(Q6Z*2yeFXy8oOTL~v++P-LFC{N
z&l30<VlWt(Fq!z9yIh{xo3hsJSsh#8q2;>zH~p6+b+hsbrs>TpehiEoB9sG8QbyJU
zt$w`~nYIp=s||+1(i6XakxH6RBdoqy5efAK?8Yo*XvN{QLzPeeXI%N3;p|6hv8(x|
z!xuuiU(Fe4o>sO+wkPD%J29mK@G=Z_)~FUBi5)O)LCsDw?g`&HZgCZqs2altP+I{o
z>_Xq|h_Y{N`wSWbGK&YRH4FACueec{AJ9<eRh$h!pc=bl+xOjquU0~Z2T$}eV1!l5
z_v2@5*I#n&C7yafZgd>7K_H~buqH+K9<&ccvk7AgPHA#n;WOn(*<NAdxSrmwD_Or^
zvY+X+@{Oi<_n<D~Qn*NAxc@uiKwbm2n~6Ol1sN-pZA6QY!{=W96393qKq;ggzyW}@
zM1tgSfKV8IBGw=2b3a}ko!#w63!9EXma~yvmMdeTXRF^j9-+QE_H#MwYsHM#s(t7t
zQcZq+FQG+`irXId7(bACl)%1Eza^MU&sd?XjD=^Iatd}+kAd#<H~+3TG#;;D;JW^=
z`I4WLZc2IeD$Rhq-{JxEhgkfWrCo<J*uyi0m<KU1mkiT}-UPYCs^|ne+s1KIqfMd0
zp$>lR<d0=vFv@#;q^>%`yyJ*{BQ##xY?`)SQc~ZvTFw7kfY+W4_wxw(4H9&Nimv;y
zQkYULrAINp0i%P!LBYMiP2uvXP~aH9hSO&;cN(so(mx!R4@pYdPk+q9Aq9jQ5p!0+
z{}v#*AhDj<`#n{@R|{pHW+SavP#WU1IXRhEC=kf~O>RX8mKWI98W9}fIjWsWEDE~e
zGGY^Jl|i0!dJ2~Xg@kk;Ty{f!f}>vskb}>{5A=P=yi~y+Hbujo8shCUI3Aildcw<O
zgyNU;A%P=uXFrqd7}P=}UlfChC3=IOV9YwPIgqjjd#zkyc(NbjD~P5#%>A)|pr45)
zGi1=l`8535D|w}!VL)M#TKQtj>9qBolpmh6Wv&^$G~~avOCjUKUaKBU^KNX$w}5v*
z(GBRNtw$jLE|On>R+g8C=Q^0S^SDShWIK?LbyO$SwL3ZAq>$(e@b+=HzD65OlB#s-
z!jkU7t3#M;lVQ7#7oDFz!QlkpyTj-Ps;2}D6~>kS>r2^*j1Oo2J^W`A^J1{cgnQ4~
z&9UPHU%SV}|0xD67AVj8E<Ta5;W|ZzA7bPm?vjT<!1pi8+TR8eh~|qRU09(W!++hF
zJ<W#BHtm(+*N@rqWqN4N#q)R;YDALrfCz~HrXKP#qW#}r`o3P>5o3R$+8~w<s7LkP
z*WscdzOrKcc*=%90>vnrelq=J<S1z>pT5oT+=p(*eZR%8??oAfyZT3_nTT)!o;FG7
zCVi@{R7&o$K^h2M3KBV{-u3ZWnJ|gYDBsHMy>&5bn~90ZDn^vyt<YF_{X|`miZ-Ua
z#X4T<I}u2u`T^KThWnu`mq90t@B%2nKgz$Hn1c<r(DLQ2inAgg8q<V)UeH<0Uo%=b
z!6G8Y#XR@r$HFgmv`Qe}qd@X9cXJWrJsJbx@b5r9G2XwY8cu0=>~TRvH`<fcea+}2
zNaQz6{~KxK;8gfQOx)-l%e7OsF)&<1vjXfI+z1y$SHzo)wwvvsw=DGYVB{XYnk_^n
zz+rh)e>(?9$nAHg%v(KI9le@pvh)XC9L;7t94`g4hA4<p#LhK*|E~1T?m;;bLnBBk
zH}Aj*d(Mvgv;jt5{I$&sFf<Vn1g-<&$C!D33*>zM>~;HhC<c+z^XAj1|5}POXBxn7
zk@2Md%hQ_(NQNmq^-?R1UCoo`Woe=&`)93gRP#|=8PaL@*!^BJ%o5kyJdGvC$;X$W
z8r)1!DI`FUXo!&<dfk%KH3}VVhtHTlFmSXWqX2QEHpvO`mR<bS9f@Vnuybd!+W{P^
zfLCzsV#4-KU`*3^1vuj0;07Zb0cswDB_-cb-1khm=k<i{(~jqyq`cIrA|H)$mFoO;
z>OH_6a2EzjUuG6D4#NT@f$~^tdWLxgQ9RW_YC<Ai{ekg<ps3POSC;4PdccI!np;31
z5d6(h_a{V`0@x>$yU@#HYJ>x{L+FNSpu~c=;=bT6mn|GstkRpy7uSZ-_vRJcOQPhX
z_?@)TOJTWNV7A|0q$XSjI%nqRaV}I~Lm`2{H0;oic|JpWg<dNBs(PQdx~B|lW__gW
z`qT^#g%M>1bOAzW4dN!yoS}gr0wgqCDBqCE0GN#l+Ifq?#KlD1fPLY;F6Vwndi0ll
zpZX_!kt1;-v@nQ0D&1ksP%<!$S|{s2Qz|O(NH(@K$zsuSDKSrm`<pghb53HWVqbxz
z+QIzIUwm>kunCZ9p`uA^Nf`o+4K&-SOMLsMk3~u2^6orkd3R?^UGx=~%eR=#QT89D
zeE8Oe*_dU@YmNrcwBp8cyW5Cpz**e1qL{>F@47D5-Q2qT98|&vFD{-zD~K0n6gPpd
zM%qmzb74M{_9@;+fObf)cWUUwja%-K5~{hgfBvXBJB29<rtp~3bSyI3@D-o6wF*1g
z%iwi^7b*%6t6*&bVo=<F?Zso`pz?9n9N9!^AAA&C-He!WtE>IvBz_|o6o<$Sv^G$*
zgMUvZ6+g-qMfGof@8OTkUDf-_yL4;j;^Vy3r_?Tv1&{WGm@+U8n2+>NK;kYWQ)sE%
zyn4APP{0xXrjGJ?=*{09{bJYQCx$){TXzU}2<8pP;X)_sPu0kNog)yuH+F5}7*O?!
z)l56TNhnI4Ly$s7=cmsugA(mnRh>O{E-v|vWqTrdnWf$@+)VoLN!`XGY~bHL)wNSN
zHyyt?;MPa8YgTra5QpG~9ztpe1ji`a{rDUC*6nE>0{r~k9~+c(4yJ}swSR2+tUbS-
zm+PSBanZZ(?aETJvW5jV#X2f?x39kFef@{0aYQ8lsR0O?EdPy8xYV$oIu<gj1f_R8
zY&g?g>76Is`pMVz@5IGFx<Y}fyWD94c^%jCzs|^8zIwgWqbGL%0bIw38A?OBM6QPk
z^ZA33a3|@f)q7RcYP@dfO&h1~RE%eN;mu7wGRFGR;_X`9O-&t69>MMREO?hoPKy1S
zW@Tf$H#iLmF_~je+<z$WOySYAeK$0<)S24H`7=~^3_XuZa-46*owg5|(ZVHa$Co?f
zkM0)PF#7LVk!a)R0rv8|lrW)!*W4LJ&84i;+p3lPS9gGD1P_ts_QuyO$MV)_PgwbY
zT8{2U?U<JRji$-BP8$B}KZXj|kon`4r7x9@c289esBzyFe{H<r>1mJC1H3E~2M4LJ
zstyEh{g)!3^m704Ttm0X%N&W7v0FP@rSrF$FYws@qM<2oyz`7f)GWPPyM<+FlK18G
zP=9|$;R<jnBh+<K6LJMqTY7md)lzR_&5iD|<=J~b=i!&%d9VMP8pYRh?`2mH5H?>$
zz69+t4QTg}$jPH{HG9f}iR)HGp*RW&=af4EIQJ>0Ok;0AKZx|)SLm5YJ`K=)8yE+@
zv?&+GK(VDR9=X&yGbgjJ*ns73^!liK)JMa@X?-ga;0<eN>ExDJo;WR2r=<da20w&n
z#nW*}pGP0mq4f&BA`CP8Bp>}up$L*}gHoTsU+>KABzJtF_NLk|V%XNl#>UQs_jSf?
zWclustUa08DmE512V$}_{;?s;;Zj<-yl(h6|A?}%MUu)zX7>_<Ie0{1=TdSlM>x1~
z9@<n<XB8fQQ2p`VO}puSdSBX>Z#8?iM+W-OS>vY1VMME51-1l0ZjNr1V$|cZJhjw~
zYC9I=h|LVkD<#E}M>BWkn5cdxHLMD_L<s~9&oD&32p5(D*~W@X5y$y$AVH|Z1223l
z+Jdkh?UN@DX|h)BZ)41(9{#)D!>?wyU}{)!Dv%=Vd6tj>NPSQjAQ}nZCqwv+p|0w3
zTW9+b;L-?F37CJk=EF2GF#)j^@<qt7KN9>zWEx<-h##Mn1|L31c8#8>Qs?+oG~e|#
zGI-l=9lh}4@6jGD>O#~(hkI=ds&=6B!<kd1JAlIs211CDHaJce$BDeARAGSl!Zj_t
z43aW5dZDC4mL;B2c3CF|6n5!g1&QYf-Vic;8MhzJ;0qMh$9x#IA7B=U=h!FpU$axQ
zHv%Y5xL+H7@OALk)${aXZd`=T1XY0>Tja413M)_w5VGmLeV3PK%6xO=T#WT~pCCh)
z)0aIx#U6)&g$2-y-jC2m1cb)R90p84QgHAk^$`t$gb>1CL3sf1zWP<yiW$4C6-AVM
z@|w=?#mfPwbDb;3hF@>5A7+G<XU7hd!-i=-*?79-v;|sf^lZRVFMmOUXVc_uO#vHE
ztrua`9RcUSP7;(4)HiN?B4&l$g$9x&SgP^Wxq!CXVc;^!M!=cF@-NX+1f9lVMwYF8
z3IA^RQU}i7K9or7esAhfOj{rL3Eo(3G+`o-UC|X=U;-g9TfnqNgM&2A>wM1B2gk)N
z$`c`q)&5o_Kw-6j93U7dD8vMuulf+AkZdy?Bf+S}z$TCke$*e_Yc8}WZ`_&;#ErE6
zp5mEpjq~n59<*j}I(;zEL0P4smDbe1?!Yc;UmZ8WBgD^-Aul+*H%5toV8p|;MJN<;
zLOD24T~;)dXk6wN>Wky_rn-ed4>p9&h+8~Aq^qlYeE_rWNj4CI0Po-`A>mv|Xu1sU
zNfXK#L}mBmHX;)mp@M@xcD7pR!{l8=-f`>K_w~h|px;nwoORKuOL_SCHs#mtoZX+h
zKji4~VN?epxv!t*{~xt!Wn)8pS?6+2>czSq5J&pl%pa<HeW#8bMwp<<h;}^l<@wur
zLCc8hBrZ3o8HtbxX>~-5OCm541u!);lMdCO>zC3k2M)ZP^sd<J{(T41dSf|*XWT!1
z?WRxFy!}1;(1A_LN3tl-zO;4KC%CXdn(9W}#RgV^qv*B)OSB>Q1*pq<J?kGP6ys)^
z6cw{IPaKY+#tnnFxllyKP920DDKpWq6PFdiuy7W7;Ql~Z<_S>wr1Ak|w*#U~l!cK|
zQTjRN)z~Imd>F59qd@o?u?PVH>=UGw6irWj8*n<GIZgX`&*i&pw?`KDFod#8*=&G&
zDGdt^O>Hc&IX%G3icOiYWkZjJD-+Cu9@G=C4V9nkOV9go>CGjt%R+vB09tHJDi!dK
z!SKbBTqUPAUgB0LTGj$eXAhW%EHFSCj=rPAt(&)QeTYAXGI?2o=Fb6QCuSBgi>V(j
zOMSK_#yIN+&u&V}(?e|5;i?fMjpsL%Cjl$|0A>eXxEcroNJG4`G_1O(`6iR#@gIYO
zweVBr00u&-W&3@(m*JGstq<qV{nd+1VBAT4r_jd9>J@A@z+{KJEdA}Vd7xvQ^*2B3
z#SMcpbYSEN#yK15U~Nr<DQIZ3NE{;SS$xx3p91%dPz$RcIPm>>c}<4Mlu6V@EUf79
zyn#>qr$>Z+sI#<hP!aDKl4Oa#66~ERya`biabjw*wo|}v;WfVxJpu!WiHQT3b-yaC
z7tp@0wX^*`zaZ}mZ%P$@2PjOsdwQ(F)DigwM7$v8>WjnJ_eMrXMUfHa5U003JB11e
z&oToY>{!s3Nw0|ZDc_melVfmygnLc@WR~eT^7DmGNr3M;_OY^nko{_B>ePA8e><k<
zdn)AKJ>nLE-L?@;6U99#7gi*s^~_JxqlShzs2}Y))*->P2n-9!$GHm^3{6k`PF}j$
z`G6~cqV;UeHxGzBh`LP9wfhxLMlJ2*eVyZ7&1(~7ibtMdRG3VUJ&m>sx1=NkI0zh;
zIJuTHlUlGKh?$PeGSGd_c-N8-jW{o~6`*B!mHer{FXWXz(2hZm@92NQOgNp^pF4v3
zb(+39iQd7QfhtQ5AS}*4AGch~DxU<vH|x%U`6Nv%kV&n;nZdht>by#qxtFZc{kQ$P
z^Y52ZqlwTR*iaxx0ZY!v$gY)lwC<)>H2TlO$#zE(J5cw?^k(4gSt+G;K-IwjlPqf7
zQDc|L<OxXZh!)^SQ9-49nX1-ts3AG=l|bulxKmW~rYUcu%f}-|Z}a)@&y}Pa?g_Y4
zq>pS`;-Me`b$EE1u?<(i0_ntyH5CW$<L0J_-($eIx>yEX126&&%M*9DsfTi(|CUhp
z>haB!Z_mDzWTuUglxP7RPh!?!aou3`yTZ%suLtXf>(Ka|2RH<>08k@I0wtmxTqmBX
z_0aK7&&=2WJ_b^pE3?k0)g$TFBvYjB$v%UPuOK}kwlnAw@Sl6KJ%Nvds3nVUety5|
zsJ<XLdgjLpMcWOX5hs^O@o4+89Pv0!h7H$GAG|7!0S!A$p22NNxPMHr74^LXo&{Qw
zBZglo)6NUVO5bIXiagiEqDm<VoE{rLL5@j>pWw;oY65ofZ3Jfl>B^&1Wf8E6Fee-x
z0oac^7a_!(kYa(Pzd^vLz#|cs(1?pBLD}E0v}=JC-bU0<9FUTembL=X4_Ak`#t3CR
z{oL7-?sGR4E`}iYmweh<YUVm3?K|86ysI$e7?g>7IJDN)3oYr}fty0D5QFE!w=I+r
zMt8v6AV^}&J_~VrUYm(679WgB%E=3u{<%}5u8#lhJIBvQd1G;9ChW7OL=V$qtf9Md
ze7o4`qbE<^6P`5N4XeQi3<w9?MG`y#no>01m#0S;j;r!QMN3&d2)Sn55b&GRZ`!)U
z3TIGING!m)K;z2d(tk$+d8;NOr2lZi>uze6jL{GRVxlLXo#VlY-Sq4j5iKJ|2TqvK
zYt;6;3;AuHu$_Vj)<EBI@16X;%?j(v6uEqM@x8dZ(=C`SOFwe-ry-7Up;&VM!!T%n
zrq8I?+Yp_6;lOI;RrE91R3zUAy@j!e2has#PQsrNx)U+L5r)Df_=Cjn!aO<YEtS@{
z)Q?^Rxj%I{0rmrPg%CvT$Pu7^`%sKBjE|&=4yS&mkrby2;#T6|4PdPH4c32X7HMi~
zO2~E`R}Tvp;!#cm9JumlgwfIB6r_>w>bvjx`7VKvWrF9llfBMfnjLXY7_}L5pv)ab
zR*qQ#hufEDWa23NsWicAghwF`avZ*xe1&|?U<+}qHk!1s2f`lJ5j!&*xE1KmJ5e;=
zEz>M{#t@@T+*62t2||Dj3S#PjL*S<nsYoiGrTJalkwLH@Pyy<!Ll*hL$~6J8@Q8>Z
zFiJ`LyrSg&{E+AW`PtcH*imp0y#ba2t{2=33FJko_-|o>h=V~?le`~l#Mpod0mcON
zoWk<<JIl(ofTe*OKSe?8xqAh^rympjH}Huc7g7rpq}?lT42Vji*rgg-F{?5y#i3>s
zMz@7z3j$}U!yIrV3L>nZh^7g2rPQxIwZxriW_Ho3HyOVGTy?=|U5GTkSNq=qxQp70
zUrcNZt&WbuiW?mU`+|YV-1&xG;Kv4)L#|Hgd8b^?X60Gt8|FoIX>6!5-^I^sly@6%
zhIo9j^Mwo^hI!LLQJaWf%LDWfuu!Z*HraFBD0Na|?jg&2aon%v+~n_5U^r3WWTNhb
ztdMZ<2x(VT+=09kQu9Nzv<D4H^~zsPKo^*9_W{Dg#lI6x_+_gZ*{i*byLR0{6d&jc
zllbP(h_)DRNfDIdS@$HcB=15{LSSQ&I9U7F47dMf(9x>#NAhZ<B5#67@PVPDM8o+5
z6$lw=wC{3q_KBT*k(#)N(&1sj@D06!4|vVMn4uZBo=>jy2@6%X?7fEjN<aHJ7si1j
zd15!@NBG<54QX+xL;R-uK2l%o=1go&g)FnwMzy;Pv|wH+PxCI@tCT)_mI=kLVbSRa
z1kgg@ETrye?fcMsBq@2^dft8V&lb9WStoWuQlbsyyL0v&h%@pxa88r?ZRHjb=u`!o
z-$VFD60=a8NdvS8^Z5#78;KME^^Bba4*QxW|Ie~sKRzUE;C(I&wi1752ukUtzD-69
zZ(+x!$|-dw@#s)VmSezu+2nV=eL}i!dzpgY#yoq*FTR^2Snc)A%}mG_YAM|SgFOeD
z0~-uuzBZQS?Bq(Mi;*G&YPW7@7{X0m3r&x-M;#pmib(}up?e^iCI8b^XhrGkYlf|*
zupICGaF@4kH+lvVtq!H$g+JCH>bStM4R(rH&Q-EX=#j`sXaa-pgszNxFcQ5GIIod$
zM=q8mq>7-?EJunJglABZoJSgu_~{BwC#R9i<p-tQzbg{`IGSNNX0V#EfCAKbdGG*2
z<Hcu(!gr0HS<_*4G5fkhg+~y73OQywNEKHx3fK+sql^p9)U_{2gCKX~;%W}Le}g(*
z+2>GPVhChh=0|Q%_t&)nkaKNPf??hRs6X1J8^GYVA>wj%h+m@f<3qL09=xyL>;XFU
zADLfx4iX4XdAFah7iPy=L!cM1vI>I4=kQJErDG77S)Zx>C=j{_va8bhiJ_r7csj|M
zk7tfZ<s_o5MfH%BbYUudg{mCFHq;^ZIPMAkrosUAPi=cU6MFEk-&$v0F9~S*7r$m_
zW4Cs-Q#<J-L>?Th()SV_CVL^>f0tgXL+vwfob@lXmRUk?8_X~0RyAM0+c&oZ<o5{(
zyHh46Eg3eT)T>3iLj;9RQU<TztT|?}U_Cq*($ZI@L`jZ20LeUGT;Dym5Ff@(N^svS
z?o>me5Aw2^PHi?qF*HhQYN>adAS@pl8I$s;y9nKy1_}JwrKE;wT(F+P+lTBmPPDaP
z2S}C?i9|)l2)IZx4wIxw0bZ?86b6prO>hkSLzp1LQP*t)9R?RNWZNx*5_iyPmb6A#
zh&y7oCoyzDC>OH5m4|1#_X>_xaf58$b}2(sigvraXN=kc>GAWJlA%=Hk`OHzT?sK7
zvTrjX6e86!q5LmiBnixb2CUH%qu-P7^4x@MG+gb&AXRj8OY>wCRM&m}%<$_Dze3o?
z>Xo>R_VehHFy9fmM2ukk99oisLH45IgUR>_;!-Sn`^(hu%8*N@zo~}AU!mz;h@Lb+
zUJqta;QWRm5n1(9a262`9hxE!-vU?ycb`a5)jhedF{DIg!KBVFS8iMHkr*N4n|q-L
z-eXk*aWa-U=>1wKSTv6vQx|1rf_)H%PMlsgs0+RHyCp21zXD#v@JRTY*Pd9H8*1so
zl9TgE7&ID)TWNUTEy$xu6gCN%BtSd5auTD8ZX(}V(Em0N;bh2m&%ySEZ~{C8;Qs^B
zRvan}LBYX9xCHqHQSRZT5K4pu+!PKIfj?2l*XqQlUf{axl>6xUXN91E(`hWb-bB@g
z&KMrs4TURQD2({DXrh#Q_QL_Z4GLkjde+vFhs6e~i6Gl9eh+^LzmSNbK^E(_U<$^H
z=Q{7l_M(hg2P+q;M$rwB1T9=PBv%UlA(H6`x)D$HJ$Pv%rv+|9G-3#$#5nP#9W2&Z
zO?#_?4h3Usi03nX%pMr+e$wx#tbs3rU<{%y!nfRH*z(&;Z-j#AtV8UZ7=9|{?2go!
zc=cpY)MbfW;{xH?;rC6&^cqkLlSp1jZQem5jCT)Ypr_Q06SDhET-{#6{9>fWJI{;L
z_3(}#8;!<u2V{k57$*~!#*4~Bc-!0B2%-yY-qz0UEzT8^LWRQ{dAN$-uxM0O1H3Et
zz(DtRLZ=}r#W(^a1j)w3Z$i9j6N-A!=+<zKQ@~>SsqpkMDZayRBPY}R5If7NcXS_>
znLdeM8m8_5?D!NJ9N1$-?hDlb@!vxr11SS3gOkM`LoRNI9mKG#k=3!+c@zBn8!O1h
zpktTje<y`w7w_4(qmah7E-Vf231JJ;h#pgHm?ggVAlNIB(|{LGBHjxovi)A8O2&r*
zw@Hl=;Xq^vZ4VB6_{?t-d5D%3NDKXwHQJoElXIe;e;CqVpR91QPHtMyx<~&evHn9z
zjxz`?=sS>rD3XzC{1$&O3kN@htxuf?Y2Ip0=WSGbb4mB*{-{Hizg%5SU)VkI-b7M<
z2qOR?8fac-5}<_B0(vkql>_%KSEMEeQ_En-{x=@#ptlpV!j@hEFnHOxjp4XMK?f$8
zUQjUmgz*jkVf<1UF-TC7&ze)dVXkVgrJu^5fyBIrzuq)y4xWKWobSl+w?{;i2$F-O
zq2oait#C<6$!9%9%#Y?JexBg#>(akCs>B8SE8JADHj~l>q>GxU%t6}1RJZ;Rjsesq
zk;t0<QK4rk<L&JYp&G)N2sTJQJ_zfC(k+;O3jY(4lrCt8uFs4A8Fr>!_tu72`HoX9
zoBAF|7+CBc_R@<|A)!~W{}3TG5E?Qk;(wy@>1wkKFH&nED~o>my-ey|zA7&&Ag_SE
z;`+;RZh;p7_N<9wYh5QB93G0O=z%qfSxWoT+BLfeaFeDU3fC;r?e_TV$ez$g*@{;h
zT{N!6zwP01OzAMBoNqa-ub94R`{<_<m#VVr@bGYCEGdv2C2*@`yZ~%1Qn=?@S=GvG
zL2mNg*mR?d%jj%HwmgG?uif8A2`OTaULw#O+B+aWlqe&zaR-n+j?U*JY!IF=QMb20
zKW~eoOF4KINwHV^&{mLX<T%SZ{0^B8@=zM>ECMp6hbo`)R53h%FpUNbbG<Fv+1{U>
zg4RrA{r`;kco{^5g3Cw}MT^higC^p2P+7l;yJGH^V;N(^V7Ye<O~5rcXp#G|@aWnL
zG(2R}K(G*K?D5wn16>6n!2c&?)5PO1b{$9182$y+dtx8<Lf2|U(;oUVNOAIqZWaw%
zIdR<-92H<CZ=#unNtAeGFsifhvVWeGB8|PiqT<V7ba8yQwlu{KF5>Sj|NY{gVk$j1
zH%DM<tb;+QBNyT(Tpr?=W3ixSx)B<xQ`))$2m>-?X(ZW@uaZhc$RD%i)8&(=mgUU0
zZAPwI^JRYuyy6VpQbe<jpKbt#?F4h)@>Kf?WxeJO=8E6kfBg<+M{wZ^I2t!0vpfgZ
zkWI;F9}wfEf#*P4!I`6N^8mm>+3-;1O;<gbu}%c+;Y37LrHs?1`0Lp#YpVzG+A~oO
zZLE5T%%+Jir7Fvd?2WRfX=>MTQzWBR{DE(eVt37?y_90#fdd&C`JwgmJmL3cjm^J3
z<wIH#3N-_SFCQ(C13}I!BsB7}V8sjtBvNjPI1@l5q}{UZmr%yR=mKd(f}5oFSxD@e
z8tK!h)7(ctmwQ}aLUedKoHC?e18}B*l+zzdO;F3tCGKThQcTau-2?2tbvg+E0<n}8
z6-nT%gu@*naiB`axU(k1>BhT3d!M^}`CZ-aakV#iWf`C~oLwAM2!3zF7<BqzntkYy
zbNr0}0w3aYze8t2hFK(+-jad2@MF2{5jDSLA%mz32X8?<@*brWpx%GK?m@_hqkp0B
zGM}tZHHd~&XcRj{ihf=2w&!Ok#Oal0(FJDO-b@&s)YFo!LnXw`2i-)h8}rGtm`#!$
za@hXnfSU8L%{Xb^P`VTK#<S08t8AT|{(bx8=LWhS=mhay;;Gy9{KjX)E8K4O7LJ3x
zof0(_i+k+@!5~W~(7_*clqGLj_g%y0D5i6W@iqBPO_VlB$u~7?^}KkoYW#B%@ZfAP
z_E3NMIG8R90^b8($8yq?U^F##b*wyl%RkheLug3HteJI$wF=L>`pkOA1GEVwX#${f
z;>6!)_;rZf`qbgqIrVK?UC5KYF)%;hrPMqCY12r$9JtrKx6JO*z0ms!EZY95Pd}md
zc6`avDst&ksV0Av#oQ=nutTYbd0j0twFo&S!E4FM8*?WAvCLxp45&tOfS?^QEp5u-
zG(Fj>Z(_0?o$WKvi%*|z9b&=wDm7lcv<P|pj~E*D!mo_~3r0~uXVCI#n;r1}ZxLl!
z6PU3bjx|C4_~|LkqJmln!vrQ~B`*(9p=E)XMH1oAWy&MU<RehjdW`Z_!rTCmBfdZ)
z1+)>6A`r~mLoig!M{Idm`x_n~iny)VFeKWiXHf-d6U>dQs#NU0EN>?#Qbxwcc&T4k
z^Ew{))i`owJ(-N{6Lm;V2BzbxCbJ}xn1Qtn;3YjjzX=t@QwvQy!%(4S$1`?LF_TtF
z&G<lSqO5Cz)yT(dfXk-m<z)#_kMEzf;y0;APrHyoI$+s!i%t_)NAjR5Z^kntYh|5C
zO~V{tXm9bGXlfIw^Y$C?My6-Q&QAVBB?X91<lW~+_W7lQE$2C^+*f6?j)Qea158qs
z&>oVoEWk{@@3sPxl|Fa`*6@SVEL2!ksk-Z_q!)#c?w46?%x#58>nW*`_iX7kpD^hw
z`urSByFEH-MBs!D3^4CJ=+{i(M6UJht3iPaq6T)kLd*&A$xZb5Q7R0pvD0zwlLXfV
zO2EX-9Ft+N2A}?3kUtm#8I3K|_VTiOdb;gDwv=nw=m~K&%kp*Rbvxos_rF|5=vwCr
zD-}d`La{W=rZINSFeZZM!0Ho0W71RFNtR^g%vxc`0<2azE#QO5g-H<dVj}6o&6meP
zO-2ma0$EEb_*GC)0Dae<XIc_(WOs2f83?Uh*M0)fMc@4!3zhq-He1rE6d+OvFnR*K
zK(xKa4k@Bo<OvGw{w`2{JV8l@Z+ir?aH5&R<qF{~cXSrUr1$mJJfH3di?KTJm2NHh
zH9~tvM{jP}#HVv?k1TC~zj&R-X&?`W&;%gX+x|YTA@p2vS;gKCzJB!m==H*J4Uv%p
z_zt5eRUr3-BVnp;a<6t^QrS9pcG)Y`aGxy>SU|W3RD@>Ebg|M4@X|0IZQ#cg)iiD;
zrDUiPT~BSFc@2>yV3U!1-L79&;B~_vPeD^X-0g_OE`WJ~FJcRDAG}(-uOAQ3A3!X4
zhiCvDkjc_0uI}tUmUs@7JuG~!1iglqRdSD63@X}>#f}nCtgGPXz+Ml422=rrhIr{n
z<Yv_3hZ&q9MZIly`Og_ACo(HNQ121noAhAA1Li52I7KiLC^=v0MnFJNc=*ag9XSkM
zKs|%uDUN{U5#ue1w}_4bQwauvzd%fJ2R*iptxIUp9eQ{_t#An``mZLTtAw%_LXH7+
z8G*df82KDhy`!wMqJkz1uJ{wMAS@=ZQlS!C&vh#KV5>KsKa$u0bq$Zz7U~L-))TOs
zIP*f4Aq*M;IN{KkU}_Y;H<{>j5`(^Q^bewW2I~{FxMhrKJ7-4TU+FX3px87q|Bb7Y
z)~zDz;X{%)p{8G;IzEe=DKk5JJ#*rn0Z{iU{Je4sAtbE!Gjboekc~NarS(_}aD;{5
zkKVvQRW0NRm2W1BVS-J=`+Xj{5TwU}o|#~2D9}-npjgtxTi@q7!;gA-x4_=m!~V-P
z$WwP}FBS6`YB_9<`SVKo*Wg1SQu9<@EZE^S<0a{8Sfpl=4`w$yN`~7_Oq}|mgp>+(
zRUbvw7h#xBWS6K5%gB8am*+j+iHIEHltQOU*)%VJG1hPzrQ!(?91K@bJ8nwo_z@ZY
zAn$CR+JDpf(2^b~btmJM(AJ*^M@0N;(6Wy9yrgfec1~c`VE%@8cUO}iW<pi=H`pyW
z-!kU9O1}Zkp#ADdK)cEB>IqRtPdaHnY$RAM^kqcCQJ%+7xExHHIs|r?R<t+15sM_(
zyi6Rs0?R#rWdsvA4&y}uMIty1YGaTLlo&xChO)0U<)AJ4YZ5Cj{>|_8m#%mm2+Se&
z6IfC8`UZ>xqagL8|CX86E!1Kd2=?B^RbhK$UFlN8g?wW-2U-J+F~hTAM^;+l%+K1|
z+Vfz;d<5M;rS`cDS(=RD$RNNia9UFC;=CooH$ZJlUw$_p;@{SWl-sRq=c#o>MBctw
z%rtR3bY=QNW`gPYS<L#%sK4+A-yf+P4j_{;>GK+%Z}e1Iz~=>PNNs{L^`i>7?v9KW
zV<%FYj>GnXzfDg9&{4^PwOGXr%GS^9oSabPB#OKng!cjUHH>^C^5gCVXv7GnR^S9g
ztqK~G<m^B`DcaslrY7NM=H+?*C+8D*nz^MRP7XpxmVX;r85qb|k&({)?If)aMG*|v
zPY?N?hSP$WE5zJ%6YoJq+ji8qWac&gG07Gnif+V6qFzgDe%m#Q3bmZW9jG75e_*c<
zRCTUTXY~yYX^>D444MLHQv;a0+@f%`DGVWa#8wEBvS2YaY5kK=vB4#e)gNUvMLak_
zD|;DtAEeytP&#E@vL}Nks+QIpjU{5)-aYFa{OHOVv^^G9v_Ejd6R{ysJ`|;h9n`W}
z?c0hO*$7Q7zhp{gouTbrx1NewQx3?2#;Rx5Su8I^&)>nMC|$_PDZnQl1;`m;x(MUK
z$?8jDyQ#c`cn=$T%6$2IB(oqx+%9>S>fysZfUV)lBH_zWLBU7&4j~OQ2P2_PxsTnR
z@yL)f@uF(qKr@y&Z6+OBsN0w;j?95W*dL=`$|NAXHyj>cPlB0HY}+B2d;ed-_$HFR
zhgQTE%XuMgT!+jiK$c_}lnXi0hTt{Xp~J<Q6f^OOIMqPCziw#QeEt<}PS1wK`D@#<
zdf<A75pE$$Yj^Y$5bTJo|1YN$t^trsK<W1NW`!ZXmW2H?i>wp7s(N3Ef49I>RFgh;
z`XF5;Z4J%=uy6K&BFQjcs0TdnqhfiA^ATG*C1Y|o!UK?c2ZCr1ddyLREm*yxK;Qii
zrc+=ZI77%pNqpP8Zf5twYR55_qwfKI%##~+T)M_C^%Lf0F!9<{4SvR_g~|lU(QKge
z2u*a!zJZ>YtVuY%==Do0n0Nnnk?OzCt@j>5XjZ6tk#v`c-AJZqfGPt|tS`Y&WIVvz
zfe!J(HM;*V3D$xpvj$+AY>DMwpZMi`?QiHZ3GxKKM^Dg;Wy5ux5<_g2F)HYz?kRZ+
zzrLz`rGKM)rQXAbkkNud^_Y3o9eDe8|IeS8nIevFjGT5nA7IOUK-@@+-6~N_o(z&$
z;qnRC_d}q5FvwE57Q_}#e`L*;D9&xlyWoVEt%ggeQee7CqT0&cy%pkr%ss>X@}FsE
zahvX*i^NEcyNl#H*xL3hHvP#01I7kFF6zu|STC+QSM1-n&kBH>h$SYdH2yi${y}B)
zyu=|@Q6Fk`jAcjH$FOZ%lwbllV7x&-At6mJi*ra!B*=V72qHR7y^MdM|3VR}m$f4}
z_}V?qDZiU1`F|pS5EC1uT5Y=#;|QxO(QhDJ7!i#bSQo^ripKeW)`L`_bC7`zH#S~{
z3l5ZI6P|jt>DqhTTRa$bgCBjT2!S0WY1|^4k%Vuvh#09}=$9253|gs_{2y2}u;03v
zo0?!8Xfk234Mzb-QtrNd;e?<9T}C5T;%tW_=nHc7;mHeqw3`~*Uon3;AxRAYJ$6-V
zu?-S}-UB|xnGfyMPMGq^O9&06CDaeBNuU#e52IAkD6G<fWs`V;k{&!@KXA!4d7v$|
z&s>F{`Ifx0@LDopM>4be_jmt8*VZ^=>2GV^v@I~(w_o8S{LKX8#ZfzJG3N3!Q%jNF
zNWI^vOg6)^w+e2o8(3h{SWvFxmmNrf1Tus65CV)(SNLoWxW-M*wtY{4Q9~493Nmby
zuqQ_g5mAj?Ee0HyKyo>-_)pqP<+tzHX<>t6#sb;}Kqu|EGLTRZ)!!ru%L1y(bD-o1
z_=IdX;COu?$<b+%93CQ~)zxKyjxZY}*Zxlz>1b$dFsTU=<qH@<Q}TMY1fvyeaYmPW
z4sVsHIE~QjFeG*PEYKkC;yxNq4}5MCtD@xVojl__fwyw%>O9ZB4voq89;K^QfdIJ}
zalk<x<Aj<lVr5}r;R&`kh{qF<SWeB&@=X+}2O$b>YpihJc>fLfZ1H|f%%2wbW19kB
z<3O)P5a#Ebnf{%8O8N6z{PNcl8JxIw*v%c7p9!pP2NQME-~|#(2-GnbS<`qnHn7f+
zkR2okq4Xz5BW9l9+FBp17L_sS02m*4NFUBtBCNr6#cFoEc#Wh}!xQ|z6H~F42R85O
z|EVj)%q-@h{bq5FTsy$6v6_jS#6ql88qzHNJ-nV~uWp1sGA+IZsSxpjK%JU($-E(=
zyZa<zr?8iw6c_g&zDV~(stxGihSZQ7>(NU>U<nDrVblU1KH_K#Na2PCNg6rHE#6no
z%@4Z7P}Oyh>98rE6@^8O5Xjgjm>*TLV{#7u1_;z?fMx;gy@xan(5xgXmI6X{B3QvK
zprxs4h1R0yldQ22GYL+_)!K)Ez1z3n$(K8Irt-)$hv;8MrFAQut;XEnKl7o$-TU#k
z(ucSs59w2;=jc*zImA!BPu_(f-((*o7Xm%nLiPcL-_nFU*zxq_b9kqR;R<)^tvZPQ
zYvnBs9Nq76dGGgKl*QGg#?Q(Zq!#o@nERe-z;#9;W(Lk+gz1KiP($v3Vva;KASl2Z
z676K&jVj!-vN1SkF%gX&z7Vqii4GCrdwLm1`nlMSo?m}3V);DvHT(ipG+Rj!=7+TP
zV9BybKzyvPM&osKl<*#0*Uz;>PyqSyDDH8)YM^)@g^watTkr{NvFKA_{vg~FnU#h5
zAzyGbjPfS|*>IlWj6!p=lO*Y+I<5#zAyEC+mR&8KA|`h^IQS$?S&!-jlx~GyK$uRe
z+nl)}7|SYp==}o>9`sEv#K^tFWhs8Dj|vWFm%70*y93-UAy@Fx^q$zLL#3jI!(D30
zTs;bn8{DARK}{jeQw_QcL~mO>rEC0|^=hE#b0wk=_zvsdssxaPF~T`;bD&<$2E>_i
zayKUAUBP%B_&bpa7D{A{a1f&1>%owfO>6tYQgs*1&9KW+wv#p;>mBeR8G;5tJ&$i4
z9ySJ@5V{^mF=~<pG<NI=wT9aPtkq`S&aMre0TYDp>wdBxTaY|MEJNHA&4T}hyW`uC
zS$mjU0uBp+|46>c2#I!4@XTv$JtnI1SSUa7z@IHDJh$&@@-wOk*(h6?=E=4k^KYK@
zr9}?N^&8Y-A+?_$30=K3iQpgtc97w#q+!K7#l)WVAbFg7KLB1|URfb-73^OK$Z%0a
zGVeXC_nIRl;f5MbLvT>~8}9C1%omV`)zT7yj$RL3J$l-X8N^LsN_aSVx@W(V%ZE5%
z(Pd)d%1xZ~sZaIcgu4Z&X0dCJ^yw-eEu8!0m!ryB%A7f2VUgrbr;Pp(JGu|oI7S2F
z*zHF>0>xJ@oQ8;(!pR9s?O~ERfg2rO|CF#koFQl!-T<le0vgJ+d)e};<Ie5&<*RG+
zqOM!hgIsfiI74-K)5|j-x+Nw!oXH*>P!&8_9@~`mYrHMu$bp0en+KLod+a!zcWR$s
z7xt9$Fhk5a6V{EUhM(ButR0ejcQHlR*VEk;yHaggbXwxRR~&8f{iX8X<5h*@v%)B8
zo(hW{;&v)n7S3+5l6;Ip4psb}3J-d^8#^~#mXMTBFgjy3OqG+1J$B>rcfT*f52_V9
zoJ&S)cW`mJd5?}>RKWZw$RJ{JZJNJ*<H8fexS*q2W%zoAE-pMyvVV5cZFMO17uZZA
z!KV|V@*?ptRMa_-9;y8|r8hz~E%o_xwh}YY09)u4rzmhwXQBOjs6$krt(SiNXuG{j
zu0V0!1rLuNB*^35H#9M^b$7o5jyQ^6@8roK<NPdW(#XjS!0eL;GjWyThe22<=Ua*~
zS%}-v%kQjnR==_C$dMzsm!;U~28M@iCD}$k6>$2mE%l;VJRTbKaqT<S?~R0-nvn^k
z5vqf9-@G}u)0d@p)vQw61)4lA)|(kZd>5Nky4L*S__H$>4Gq?K`*TTs;0&w&{iH=I
z**Y?Asi7e_F_D9YmNt@qbF8-g*Ql9M`s*1r3vznBGd7wlTU+?=*KsaO-|BQO(b{7N
zU$x>~hXKabef>j;Wc&V-uG4SczllB-S<T#*)9H*B;|*w3V#<N|0P;Y@av}T)YHmy@
zBAJYMVzpgeT^D}?O(Yu{>rQ4rJ;n*{K{1C>k+*TV<mKfNVNq@EM#L8A=`nV8b`mKT
ze2b6qguu;x%<P@t6^Y<0X}{MSW@tktH$>d}u43g_cjhj?<|@Z=A9`;tiHa#o%qlu|
z;g=F-WTjUvM+piZTg<vfX}hZo7Y2b5o|%aW$I>8|DB9M*+?)g#7#SJWTO8oo!bLlO
zQAU}*%dlpY*{<RC6C>dd&Lx^rb{uca3gQ9+DBF#fGPR=bNm>V-!P|01?IcQd<2rt9
zf^6}e_d$pu0fQxkbdS|N*2s{WQ$$UtOy)DApLy8(9&et6wP9sR555NqTntWgr|%y<
z95Q=^g;mAlNi~g6g9jHA8;iNeWTpU`x@S4gybNEr$bQL<<`2f;z=RV@Jpr<=JN|G|
zKGo3wBdo1L6~n@JqWexpVIsY9cXwv6|JQ%h`|=Fo;%$0#u&1Yo<TIj-%II{)jk^U$
zu4B`ubHZ+1l8Vc}CM*l*#2v1s_}#p@LdPi=hQJX$UEOOnR;l=2BsUp8lVYCL$*QFY
zoDDLNs30il>yM?zM(t=Sy9aMZ@u7=~+$&>8-a`ToHB&3@@^!XR74TQFu&}@}p=V(M
zX&@W1GyMA*3UHwvp`T=8G>BDq^XUc0{^C|88P=|UTdy%Py?PkA({N0>e_o#EuKkX{
zW`l~kPv&)F#v;Vx4*(i!jrL!14p<)KZbReYB+KFI>I&WLKvPi_@3^-3$HT3MOe|$g
z<PM+S{j|Gvbl_8D?g`~%Dk|&D3RpL7+C&1+Qc_Y(3v^1%-a{P31`+q#VplbXPf`0Q
znXmz?H=#}0=%_GX?WpZ@JclhUh$G<T=YPw*AR;bahhrI!6LV2c*xL)hN<xG}FoE8?
zI$0Ty^P0q}Aq&r}_UF1V^Yr;UY{7Nk8CMSbugli><L#0cKC5w_k$K>dz9^Wf+~Fis
zf&imno2lb;pBl-yBlqugf${yJh!?BZa6{PH*^#-X^9L!{@x4l{o}bw^a6ZM>T<_>q
za{_i=J7p;@E>zSXGLFy}A0N#WOvx-QjT`Y@;_#8s+J*qEA@n2z0|UAS2E@n)HWhS#
zt1E5N*qAdE`7R;LXG+X)91@!bFjn=Vu4t%~0LG&jw82?}aaY%Y5uEGwo$oZKpxto!
zz<XANche8U@p-H5#C1!n{!QbaQ-cm{f4Ki`w7DnAG-q;uVHgviw$c`x(Hi9HewDK}
z-W^R~AKbYPi$}BDr)Pfk819*nJW4IM>w(Nwsr_FM(EZv0fmHxn`;$heXsjF^yK?@z
zV5?Bm(eX=ucs==RH_q~7(#lc%P^FNZoCaEn3JSI|xvGUBPFQ8%zMQObne$vbN+gFk
z9)HL)?7Z^Phxw;N#7^n62g1E*8s5<MbiMpHpVz7OXUyKneeWw-arb%AZ(qM6ZYY0P
z=qz61ucr9O-5YLPW#Tn@@Ph9kV{>Pb+^m5HmAjeggGc(g9G!kf!m;2$@ao-5_IP&X
zae5%O&(6VNHGMJQ$xDnJxUv7rRI1TNA%8g>XZK{iq&dFGjl656I6xc7v%NiB?}ejf
z;MIznPZ4+#=nHo3yz*mR{%_N=xhpRnVPMyUoue{68m@abt`|$YZu=cBctKBbyoGIN
zO7Nv#!R5)OBI@3m;LdRGSZx77E)HBu7)1+x&i!Y!<if!Xb*3UKGjl3sZTU8IwmTAz
z-hy8RihA^aAV4|Z7co))zLd!FdXK26-D-eIjr@nFhd1fQY%&-+G@rs$!)3^}GfDN5
zG09#w?lmduGBC3DEg8q2ZfI;)Tl>L0&h_H{G#5qH`tHZ)ZEt+nD$6L8FbW+DG&V{o
zRVH#8Y=U>#Rus03YMPqVpwt}r_7<$uin=FfOBH2%)%Ipf)Zxow^cu%+F8Q4;6piN#
z_uf`nu-@hDg`=WvhFra2VRY%~>5_Cnf483E65q*oD_l@qE)L+Fsi(H5r)Q{3^`}Y;
zRB#Q=%>yX%<g>OJ8XM0H-FHXIi7JAC^DmB2ke=bvrLBvbvdu1yG=_#V_5{~(uPw~C
z4J+AwTY7xyn?nAQrJQF)Zm097Li5{?uDXvLc$?=jX6<;VuO^q7nH3`ttmn>nS5~RN
zGk0?nQ+TiyBoM}$LOcEwD_<i^pGRvO{P@H?f_P}%eHSUOZ%iEQa6@)$<CrrW$h?}*
z&i}mS2OK$>ddAO9+#FC2I`y(zvY|y*!_#wbY@#*|?My+UuCt3vPq~YHlt07s)sSGT
zZrctg7r>vTV^hCeZGT?X8IyOgx9>yMcRbq`jW>QDL5E=NsTV1#P=&W4I6T~~Wb<oK
zH~fMEX`BjMW8~saXdbj_cGv&*?BH3K+kPV%nOw>(AnOWVxIftaxTIBDT6$Yx=u0V<
zwDNyj5B=_|jc6?}|Al32BgwYUe_DTb(u)>qW%w)5dei{HB~D8uRN*Wl^Rl5>tVeQU
zBJ;|UOqy~2=5PPj-NHiE>8e+v-Bfmc>|udx0^ON^S7e>{;?Ot#CNCjDug)|Sf%t?D
z78cDnyUHp)lykKdYOdUxuFjDta4s;&UNJju{ORZCB4U0Ap$}}f@7J%RIOdUPqClcC
zVeb`EquyZrK{Q+3b=HCI;L`QVz_08L6sC?=V-{0#?H4k885*0k3&v{gI<D?5-StFc
zX%01bX2m1sMLBDo*E{~Y-Sz(7ROK{&(da~yV(@Y6!_H=Ap=YX-;T?lo7uPVEiUSNC
zE&g=Nfk{aqtDsUJeb-->nQ0JANxgU}P~14k!!bE;SJq4R$?rlt!do5-$Z~Aizkh#y
zLC1S=E&@DKjJ}gK;lpueKOOgmGM&jq6=$vp_J_+(dZzGM(%*4NWk&%(64Df@4~_to
zNT&>-2_t)tWAfm9ufKoj*YP{`NR#^D)bYXb@!*YFkFfp=ADgytiM+d{`EBuWS7SNf
z#M{k(wEMqWZ@HQ=&q*7&gL6n-E?8+^@6@T<%e}si(;tAm-v1M7u6^P!jEBI+p<#w>
z2yi3=+^WDP>l+$)aPvUC_pH8hL%^rw(Y;DQGX_pq(VaHtzh;uhb8ww@VS<0#{+DUz
zE|fNEeF6IlS}Rc1I`*uCh6WXlprftUT2WTML{|vSF{7X|K4s;U0o!+}4?~*v?-zTx
z0xpeE6JEm)E(1?dAX7bYYXejV%z3@ogKzWKf@^%eYu5@rPBgVd@z-S0?YmDS=iu$V
zhk4|{+z-3O6ReZ$+qd6VDSDThU!uJ<2Nk0x)eTSo?Qv7m#uR28%ATK#mMg9}?V0F;
zB4TECmcSy2fwBT#fWiQ#JT<hH`QaZriO%cTkrPfXwY{AsikcxZ%HJs}eCiuoo^~h6
zi-?4_XCGJbWN|#6Qkt`3W@@T+{1U6aPFPv#gx>S#<^tv>T{)-3<I95l&Oi8@5B)su
zT#_0H%L|m{%#i)>13rK*eyww!k@`1l;;#-Ac${l(ZK`&f=35-^ym=eX@m}KN%PZ$r
zRr|kKLwCUkBnt%<DFU&`AbhsS7`CXmxVcj2jdP6yGM=2zd=ZC^9Ge|12hvg<fQeQM
zn`L)8Z>FcuMyLgR7GyV~_C9>}tT-^j;k4U3o&T1si5eOiMS6~=KcRmhfTH;D&g<7S
z(lxmzc|>H2+lJHIoRBz0&;$~r0D3oL<O(15K5yCOYo!xnU(Re^k`qcw5{oFqex;$I
zLCq#{4}<D4%xR(1+y*BCe(?`@`)%(WMDF@NK)ysm9)H@qVJ!WjvP`bvaous(TAQh5
zEnDYz8Li(|??ohYYlWZ9)sA`#@CvsrnW_tOkkXUXmBiRs`-?*dN}G3NPyT2qr`^tR
z@L?f6xF1?m=wm{is{!N10<J5@lpAntShG^2a<m&L$Ir~rxoI!%?aCi@c-DD0e&Z?c
zm8dV77buT;t@JZ%H#Rk$<=mKGSU6Nr_B|avMi{4KbKe(?Ttz$i6VZcJ1*&i6#^n$7
zbx--lNjheHXUjqnF71+yJ{kZuCd=P~jxV)qoXl5+W{U7RyI;Bw!ipF^#^m?62Z0k8
z0)aj}!9*FvyjYhW({`z2?t3iz{f~Es-6sL|KV$BFx?CGKZhZJN`hLm{ey!#C>b0y#
zkHQcS{&RG+L8evl4NN42Rf1Vo?iA9MYGrpKI_7$F-B#fO&5)u;*W}zdl{L;BhPAVD
zyjRgUBqW3kzr;Gr##dUNaQE*A^jR_6asWJRy<x(Y;_x_VX_4@NMqv3aaHO<0C!lGG
zM#H7M@knY~XdKf^ImEN%zmE+J|GbS7<%`m76dP0U%gz3NIhi;V0U(lrg+(36&-)fe
zeEMpOwNDF;iPN4U7dFPmmX)FLnVIxo<3y8(Mj#ATKCnI_8<hWkC8Ocs=JDUNkl4)D
z^WFIYb_+u|u~OX<zfoRK-FfV{K^d$&woE^&#n-+28@?-P*>h!W*B`4lt>P;;?-wMU
zw|ytK?^Jd>x`-2geoD}J$;K|C(E_6g$r6cNcgWa;v*W{e7Vp0<jdvWsYq;&r6qI&o
zW-E?10qIT@vnXPb2l(!fY9(rUbm{g0vycLMzhwH7#Cw!nm{EEZ84f6KDV^eO{Yv2q
z*Rb{ZZJR7-%qOog({*<ny^8Hw|D$^17D}z55>-y#$K{o8Lq0=x;q<iB;GVHLZ-{c%
zAtUusuE8qE3lgqt)l939aGqw*s}QPpajqNel(}lFkH}-LNyjUVaE-&T>OfBkQCp&!
zb;lW>#ib<~IL4^t<TR|Ud4Ly?Mwdtm9m3kGUY>8>xMAynT`Zl3`IBoeJPV)43U5i$
zCb7Ah2@SCrVJo1dw9~|-%lpe`9H&`1IrS$O+#Di=L`4U%9O^2RZ=0K?o|LNMxa)aq
zC)bX0|L(_BmZNjt#43T40`KeLY7%;0XztS6N3Z-YA3oaufn)4Xwu`ef>TOxE$G_{Q
zcQZWWKNit}ara;T-QnCA_u$3%8=`&>pI-^MeqBXz`YqF(QZ*j%E}yA&Sy@>X({-F%
z{%B)D!aZewC4@Lz12LL2<a*UT)~`9HMK|R7_-(=P07qF(GLrDUk2!fNa3Qx_)b#1i
z)KqT3IhGO^a<JK;8zJ;imi{y(qFqaV5a(?%?n565nN1+TMdG@GfNk}Uv`#futahMd
zcFRDo&|{x-lPYxqNp<PW_VUlO4TilxzX5NIC=JY%CCP2L3f)t)%}<`J2d+)j-~0A;
zcib;L`xR<3Lg`KYm2W(<_m%*sONr(lGQ{umfJJ9`EJOtu-4>{wWdo#e3oAQxBMtxu
zasJ)&7Wuwd<|(7_fap0d097DtCel_flz+{P^pXEqZE1PD*6(n?X^gV%8NUXF_1DVE
zE>}7l85od}+GKzLmL)#S!(;<Pb8{V3%DsL|VuOQ&utsN{-c>#`b0Nc^tLEED(epBK
zb@A*2J&q%Yali2->cNBen|ApeLO+Z9)G4)b27*VDn@6xpm<l8&Z)=bQUjXP3&S9d3
z^`#mS2I|Bk(GL_r`y`#R5NddTv(Q1<%zbDmZrhNOL43M|2$`7x8BD5ienWjdH_i`S
zr-&`x2j4LEliRt3Yu6~CDQv`ss7KRHrY4e82s&{jxJg6DPTDX@w#4M&i}~N=X`IG8
zTAoF<G&S|3Ew+M6fti(c2IC%QTm4ttAN{z5G-iBwk~9xBQ9|D4mlsEEE{t4M;7UkH
zAQd$PzC6(lVCE&yRDPeJ+ocebGr6tJTtRox&ab(XM@y)1m{IbgB+4155;J0;fja}G
zW{#mSS_kOyqk7t*--b9`3B<(Py1JRSOegMLlo{u>jbXk%elTvrHOw`GkAa!l?z7VS
zmX_Us>CtvT=d1}2qiJj?zAcGjMWS<2<zEh{#;w0TKaVE6qy0T5uL`5q1~VBC^zJF4
ze!R!U+NF+lI-EWB6_uCkm#S}U_Qf5&A3qjX__4^-pCA)PYpl5C<>PVGGN6q;e_jgC
z4J4So{dM**J~}uoYg8=wgL}^`kwF!POXzoUGV|$|pC2E2AaMUI{L+T{HxWaJZ;WP#
z%;$~vdxHOuYrr1e-In89sHv@Bi6&Dp;44aaW{G;h^2Aa}X68*02GM`V;VI}r7H)pw
z=k3&f^oasYr68R@t<CfOkq~`S=-xe{8FGWEx39CjSj&SU6=rkHz>UX(GNT*q`t<23
z<Or~*JLRR%A&eD*=ce*<2FZ^;S7}|^I#u6(+4uSLz0;4KOOT0cp6oTmjzBu6PTDCD
z5f$^_uM)3+xCVhA&_n=NiT;~kTwFYA@6&pab;pgDWP+4!@nA#o{jQF(h_9iK-9=z1
z1gsyGl5*#GHW|W*l3WTzQa=A}LKCd5%tJD}E)~lJdd<lAloM_T<gYkinswU{^gZP1
zl=K6|gX3plfjpRKV(A+Tui?qC?{TrQj2s*Y_h9q#@<KNp{nrKW0Y?j|qad{>ANg;f
zZ`lPHseX@k1b=?jCi%+Sw4AELQ01-vIsKBFo}L8wD>B-gkR>(T<CsE}e#YvhV;m8%
z#0;b8O4H9Jal!<^a}l=wJRaw9oRe?jfMy68uZrc3?+pPas);^`;!AVn(z?cp;{t2+
zp_>DkE=ap{^E-D>biqeOX!K;CnTD6%n^d`<8^|{0HZ?;?(n^1-H%&4#O(V@HW;<VR
zNo39X^<+1K=Z6CmlNN3wx+r?>hk({k6w5>@0#3u(*;x~FcDtty=?sRi8{8i1S+J#>
z`LiLwvE?lk6M#bD<78L7a;{joxWjobQZNX=2EcRRg4e-s&0kpjzP=xs^Y&R@u5TOp
zpv>s{pw#|NDEC_L+MD+pbsnv&8<9#45Q0d8DwC2Q-i?ochnz2xsfy<d@aZwwrz-;z
zA2Nc=lRPby=$H5aqEaHpO*KpZ{AA@k?9)~TXYCC>j9vsIavot3PoF;hFg~~Y8yP1q
zZ<gaBKl@Qfg0YHk+e%FNu{%DU(<`TAhClxMqEmxTh6*~6_OI5*J-W8p+uI|R6!|aO
z=pB)1?YjDp>7vqltAUBKZccTB2p<!nm6a9Z_W^o>9W4p04wk&GM_&Jy7iP)x0)3R1
zpRf0StzG+Dl2;rrG&3ym8gq%}f=sNZFkLq@74J1lnY3wYisn5ZQ!_8v7%Gpb%QUkh
zGt3(mU1n+CLb4(1mVh_Zf%h^)B+}_pap!H%{)4?go#(vgyuZEYe81n%<;(saV)}t<
zXby)&9o6mGU9AfNLn|X|d+@30hZ7Z|XGKZR1&i*ZY+?M{UUq8m=j#>a<*+peieSKc
zUtXDPz9s}zASwPoHmHJ{|9;C%e(gq0T2ZzkK!11xtB4alMXl=%5Z`nk^in+~e<zm4
z!VA$KdwWjSE}q)`*)rUYV!^U<H!<ed@SH%(#PHzH2>|V0xv*F*VI37qxX#2WVFu|Y
zBvApVWisDml!kEF7kF8&Bjn_)YAmFN((6R5`_~e}-)L_P+8(jNwrOGYnEE5aEM4hj
zgd4V~{&**Tp@!{jR*Pber(bk+li}#PP=5@$tig~u4x6OcZL7yW#Jn?Q;LC6z$O3te
z;zmB~!;3Zba{f?VlJTQLUZdd_ttH%6g1R*=dI0)BUdY>EbBYTRap0QBKW`7|VWnKF
zbDHzwFk2fjf;DX%0T~_gVutz<<H4X{90(K1s~tD13))?6;>Bpd^htP^rx}<sWxSJc
zD|1CjAWy_bi~6_c=DNh&F$Jh2nRrXRX9l-WYz^}1Pi$gY@R~Y;Z2W`p#&DePSDOox
z;8P-+WXIFR2YVqe*MvAJ`sM0h{yXh)SED@7^&)0v%gC`=f6=vVrP)0ld1-RoOGyi;
zGwv3!Hf0#1J)ssKz|-C|rCI?BPqbh1C(X7_m3v68uy&Os4?GM8BtULXX+uMU{k&iY
zu-etfk7@|xA}G=cCcE#|`_M_NpozW)LpqrZjH+|4#_>=PzGiP127m75pNKc#Pr5E6
z47vos+jZL-Z13E$$?C3)t-X=kZ_wM@t9%u-)`@IN-th_blkGHX7)kfk5;)LR(-|>Q
z(UO+vl2b8y+J5@nPPWEG?zaH$bj?K)eSNnCP_F*jlIJXeXL)1gerBCr?}Ww1`xQ^y
zCC!nBKyeVoF5_WUD%H|(*WLsr@bD$PnQr`S(!{He)X_p21>s4TOfI|`8$H`Slspm!
zs4)U&5f}5~Ui$KE{Rt+H)-^b|%f6|cTixUx|EgamAu3ZH7|qA0bsh_Q+Uc=?vt(lP
zT9xHraQ{9QqBf*`=(iva-JP33C`vEO3X7dwaYj=tfkQs4>K5SZ0ixE|#Jz4jbGlp}
zbME)s9rYvWv|lOiiGeTq@bHc9!U5+FyU-1X3KGoP>tZ)apFmxoR;xrL&%&koo|88Z
zTwXuJfGcORCPjU_ifW!vv36&gqHfcVKi)q>-6&}c(*d~W@*goq+M3+;K04lhe%P$+
zY%hGaZm}F?if)|`8aOYl1ol`~7))j5`GFWvIIIBqtLMxRC++CAS(Iso1)lB&j%A<7
z$oF%xRjn{T4r!=1{K~w9Jb?*EmZWxzf9vy24H<Wd1i?)qp?W!Bw)w&o1K{&E?75az
zOr@9~dhZOYU}br}82mLA0KOgRbEAfB)}kc>ZcQZ68~Kzxk}dF=G%t+wSV-o)$lcr%
zgn!%zrQpaEyPH$c(DdY8pFVI^o<0rj5CaED42`F38nV*UR&3@T_6gT*35<(EdJibZ
zu6U%R90DmMxY<Cp$=lY>#7{|gEJQ=v)v&NiwzSP0XUVCm;#U{|xe9~U_BaA>u@qos
zZGEqzLKA2Qz^=6deF}{SLQ5(;z$XEFeglkGmV0EpcatWJ>bPA`JHuansq6Tcp(f0!
zNS{y&&4Qt|<H4kVmuPa<js3U&87z}%3B9K}3gLSH?_%|_14^ZaEuE0D4m_T&1eZt7
HXMg?&M2<3P

diff --git a/_images/79f404471d0a96304761c63c7a1882bf283d1c61c675e293e8320628657e13d3.png b/_images/79f404471d0a96304761c63c7a1882bf283d1c61c675e293e8320628657e13d3.png
deleted file mode 100644
index 3f2e6870d9a3f3e1348297b90507f2c6fadfb122..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 30002
zcmeFa2UL|=wk>?rvMe!`B`6|-0Te+AA|lzW2PNk$A}Bd$2}aB)ibM%Yj!Mp;6d;mR
zk|Y61k|k$&bA#2lyZ_g>@A%&s_y5Ou_l&x?5jfvDXMcOIHP@VTE$&K7o>@o3KtrKW
z)=|%%l%-I9>7-DWtN!*YzH^`DEEE1m!0ME;m7J-bm94ggE=5Ay%FM{r%1Hm>4jWwy
zOMO!lUd|(&hxYHdVr6A!DagfT{I_4=G_|<Q#mu_f8W&k@c2>obLfN2A{%=`?Shzlg
zViia|c}(8UzrV@$s=UJd!q5cE&Yi3Gx!$Gjc;<RE<hOU9cVCqD9kt$fY}tyqHEbHk
z<WI^R4Y{+6t@`*I*LyMNp1ce?yJ7ilP1>`+T>Jg_j*!M?=Bqw|IyAi6d%SMejtqGh
z9qbBl?6Q=)<L^|F-KDxVpZgcQ6+D8Dru%3teMvFfyUTmU(%0vYa<5wY%G>qA`lYY9
zm%U|N`s%{+>jFz(<^A#tJ_~ucuKo?{wfNX%=dE#6=CP+|Xl1xmNkxU!=KBSG78J_S
zofqhDb82LSynfA{o<5|}-G9#>%WC#)_lWRyfxSnZrjy>~=a+HfJ<uM{U6{}O@ce+G
z&DQrTM}#Sq$6Dj1BfoX}=iz#v$Cgb@Oz@{OP$<&$EPMBI2n#m~y65%Z{rk(MnXBE%
z%@x~pm_lj!-NZdBo2LR7p3<!lc3&y+*E{{ablK9Edv^ToqvtW;BejIB&6hrX`u0Iy
z-ZIY6k7l;EUT$uy4Bs!KxHf3&>4kl+tSsYv_0g<T*qy9Tdv|@Zq4?Re(gp@mb)mF^
zqN1WS>(+UOhlkgN;sx5-SXoc)l?r&KO|R!A8*#)i;0#$`3s0<(PSK;{rX~$-ZSCRF
z(RLbcA^O|FhP83seRYX~Hhta$>0M0e>2I$8Mxmr-U((a-X)k^{JTxRDE&cn5u+S05
zpI5T(ujkX%)!ip7td7^#^OB3Ob99VWesfXK{M*eqjm)rb1^4|l{=j{DI67*z^>%Pj
z&<=Y?M?Ve8;MP)mCatFB6j#4*2Jy4njkr<Td7c)JENg__>vk<I&%eIog3hyP`#0bJ
z_U&6K=Snl*ui1{#_(XN}{6=4P+%I?;62j6OXz9SZXOFmtrhNyUp<iZZChqcBm7G-f
z?9|B0tEce_kMH5Nu#Pm+7cagHu<zV@>g37yB_-!tTU!lk<6hLnX&Bbdca^`8i&l)K
z-Mm?^$)zRlnz*E7%DBqw3)jY&xA61xdmd0zbebOh<imSe-CEVv=^$_Dx@{o^_v05#
z^}_1tRJI>6JGy%H>cjCZEf;#nd#a;3cJ4fuJ2&pvSrHiT$)VIEwlL*>mkxWR@w9hW
zhu@iNPJd7uTOTot#qE*sW#i_Se!53Ow#=8$Gaw*NAzD#C&vjXSuFHaiduwNB*!t~)
zR~pmIX=rFZx8}R?UC5)n5OdMIzxhDI_{hXW?X?xFp5b0MW!gqd1&Rt{rz^&)c6^Zg
z#Uj<n=g^hMR>SQJrW|UD4l~A)mX}9*rp4aAeM_@;ZK-vpo15G5<HuR3x*wi>(s36F
zn;PlbB25BGDo>|<>P?PLN|5X5V6)cd`=``WO%%L1HRMCZ=@jBMHBPv#udWbV@Ner6
zp;D;{%KPhIYu{jryj1KlUEwnS%3-W0^6J#^y+@A}7v|@Z&D&1<Rp6IsR<D*(R`ym+
zHHp0(=%m=}H1Q%%J$)CoKEpb?rz-LlHd3@^wgdLN(y?_b22Pedr!LHf_g|9mkbIHx
zHOI(Dz`CPysI4g3pqky@!NFGpA=NeAyQ}G7oc9XX<!1A<_Oa^evhlg|8CRX05{);k
zT`Mmu>yck1f>n8bKrKwK%(tViqM<=eMMdSq`}fk~;`f-GMrA~1f8<ZMKb5lT`@*x1
z;n4fmieLLYeC+48$>+b%DdT3je~Lj^x##0C3tQXiqIl&u$63XnO{!7rOk>&9Qew(x
zhC50On{%9MCLG86WbXdK`pm~CGFmBK+#~F~&$m$r!~vRho%WK)a4_RMeD)bPvazy!
zH<R^19Kc8MxA;ELl-b)GpId{yQWd8mROZ9Gw>HOZ{r1l>Dv9#(nj%wEQ{6W<h)OFe
zKJP4l5lz+!ODt$V%+jm-mhZ4h>HNALt*y65X9jC$L?(kO#d7RNI(-E!!z3E;v8xg<
zSLAx8%Q!nb*Gv@Lqf4yQOg2zBpp~Pp6t7vmH}LAqw6r54Bc;5O@mmnKKVAsvqHX*@
zLy3EB<Rc$^y(%lc>XqAr`MLPih1o>8^<vgN^8JnJa#}8P$&VNXUIw3Vt2fHE8+s}J
zjBO_~GqXahs)B8^Q|e|;bvEifcXy>&)nxfBJ9EQ@(+?R0LOFN%-Tb9%-12dJd_22S
zoY4roT-f;(XF3kWq;9#KtM-2V0RaI~>gfpvRT06fH|=?k2!>;CO)bO5ytRBpIK1Va
z0L3h2Tkrna4vzsx78RC$ml27`V>cML9J98}oY%NJ<TZyNYB_u7@#Eib-Mks0nry(X
z5cTZk%a@~{&vETLbV%N#y{jwyg^=xsvNDO_;Nao$ahtDG%N|YU=026|we_<bD%dji
z@x+F1a&X_hdsoVdkQ&s&Q(;MiokqF*LHETiSr1il-<{pVi4}T|SM9LPu3x{-LS5}L
zb-Fu#!}a$PxK}Lu4jd?}@5CAY;K{+UYu7F{wk=z?Mrt`v6=XPHXPN5@;h1tYdigR=
z%(LWTv3+L2u3K(egO^|OUM^?j;rZ0*sm9Hzk^6xhXot3k{4}q{vELhh!xE5`a`}VK
zi(6Yg4zgB@S&N@5dRU1YLCee>-(49VE%WL$K9gep?R9+G?|vyLD(amX%&oo8m2<`N
zfoblX;z(CTE#j&5?4<eJMD9X$rIc7KLQ%x=TQoMFUtXQrpt67SSZ}RV?)-Fg&fK_K
z_E?Qts?FD<CXG#@sm(d_UAa>ACRu@p%UIVe7kX(>9fg#XY~TOo&F%`P+iSPJ6tL|4
zKGE#L6~vCsZ?d~|#Q)tzdI1s96_3tJN-7>b>dL8^#pdGTl323rLRi85P$m(JCjTAX
z)>MvxjB~4tixKQ(n=-8VF1`O<WU}Q3*+oW1F~|h+*tywLoqi7OPtGJc&pD8vs^&Up
zpLS=8#fDVS*Vm`nut5m{ozJ5E?8;w%75CV@UpeUQja6M!&uRl*=2fJ`=90d(wOJ2l
zPxOR(Y04t1B^lOoR>x^H`0T!Zd;sB_Bu93|m@A2#!THY*WIFS8Yu)Jm@uT-?GNVa9
zC;KpiSm%aYE5!Cvj>>dCOJ^F%QuFQFSSqj#fIxBEVRe_5{IVFWL65zgmX&uVU64$$
zmwj{mM0|72g<<}PxYOK9lS7uvDYUwhe!V;uiFKXtXRo=5QCxYOlrOhdMH=;%QZt;X
zwsi?%@re}gcTF#j0*nN)T@3Itjp12EDVIN6qq3Mfy-8m4kF~tqeV;4jpsrCv$@A>5
znm22ge)`2-O=VdgouKV=L94X3pHKNho}zxsdh_B1>{}ES7r&tV@4*&<Fs{2IZ3n+1
zc>8i|UzeCs(sE+GUx1K}c#qsXMn_8<a@e^3N=1N(08`1uHxa-EQOa*#1~?7~Xk<Gi
z=amz%S4$Ua&qN>|Tf)69Tyb|d?d^GYYmNQ5kXeiCAAkIjgm@kr8X9Tbkdk53?<*0A
z4Zja5^o%=GbycL?*!;|(VW~Gy+<s<UE1iv<U^?Kl9siJrd&Lq@-QSE9^J#LZZKQ7t
zBV!DXf0N6?9D}gkYv+YI+y3U<<}i0JFE1oLS|+BrN85#>@D$ZVy@wnnc$;jrNY2dU
zZJMR)mW0sIg>;r-XT~j<-lC~(&>&FCG;8SgSNpE*FNE!f!{)d&vm#i}JwNLqEFxmr
zpK3d(IX7A<Wj~HRpSFp+B9o74<?ucLzDLPMKBE;b;<vRMoO`Oq#<_AH3)<Q=b=me*
zQIid8YrJ`M4%rSgGR`~$(D1OD8rG%C&W!gXkn;J7awx_~lbrJ8NpMoqq4f0h?k3x2
zYmHVcMXCVO^dqEcifhRwJ@FgA>ITM87jlh%T&Qgx;5Pqu(rL2Q4QHpqe5UZ>wq%{6
z^#_z+A61Bw|Af4fFsA=CD;-BFNw;M4SWopiARHMS26eR~6iS})J^KL5MF{IvmnQR}
zw|sg2W2~Wrn36-wwN+IKy5}A;@Ua*5BW%l8M=4ZCD{+nWHz;Xj+LYB4)z&H@lhrs)
zG=(D%>6bh|knYU826wCq5p+GdcP$53uP*Pm<=AuHJIFL=>a-ufX?bF^>#`L|SVX6(
z4zKiab4$z0HC$OiTePmqD8;Fp+eDI2EYfLTPVy*4eb1q)^f{ALKuvU;HoZd7>#D0L
zDmpVaJywbJywq-GTDV}}_ok?QU?6TQuilYNc@jLCMufW-@i^xuI#$mE94h+-OjDIZ
zaJc7a-bKgfM8(9!_>FHnVitrLF*el|*i~PYpMPS-s`XWVraAf==jrk0CEp5H2<$(t
zxp8NohrfS}t1Cq#%T8u~eqPUO1;w>eJ=;N{=+SmLq*{e6yP>Pw+X^c)SQ-khnV$cq
zK9|JF+rj5t%1pD$S(4)VvQM$gp>)K=DWHfBwLxB}ply!mJ`TCUlx(BAmm(^_jBGtX
zID#7zv4E6QT3zL`ZtH6UKX^VibBcWu!G>Mg_W?gK<G^n*ES(Dk=~c{!GD*RCWZOvA
zY}>y&=6MoBzfb&y%l!+?%Ncmd6&^=lEVxJYkd>2@hzl{x;4$GZ+=!2D^KITm>Pi|;
zXt5`)Xt{6K&=1^*#~ik{wg|L6r9QkKEXe;z9Z#b(=1>S!Rmr~)usnV3+O--g7d~A7
zpIA!N5Q2{5G56>=_VDw^HD_$ST!G>Xl|cZ(qQwm5Z=J~#hVaSLnw0l%zIFR{&zCnk
zq}ZtIpk>F)ZX{tzxXJtV%2lg4L`0hUENC9$4V#DJ<fiol81^9gwAv`HI${~1bme+F
zl3lOQ<$zE8%~y8=&0BYWK7|~Z0=Qyc>9j6i+V8M&l0}C&*>-rPS1jF)>6Z8I-u=Xt
zJNweIt9;*)Bg)$atv+ru&Dx2SwIvX1aqE6&rqHoXc-I@-k=_?8pu+8u9~*@ku^F9a
z#`Uo;Ro`5^<viKCN(2>&O}~(FeG+4BKDM<SkX_Q%DU0pGcG7D$@Bav}6doSvTwm9L
z&rBYNX$t5phlYk!(=9?%j2ps$^{5^s>?G?~o;J-Mdk#oq(ZtWmDfx7-RLyvQ104f{
zL1OGr^sVEh1sF93+>WZkqU`R{H7N_>(&{{^_9J?@SE?rjs0N>2-fC=Y#OZ&oK5<S$
zLcyI$<d9C`+RV-ELjM7m1wu`hp1*_t)-LaJ=g-TVnZ1_qb8~YO_hb+K^UpukC$=5D
zbccc8BnEX#yZtPnYzdAbN{T1Bxw)OCK2I+%Aa1el-P@3bD@ji-*2*i3t1g(dzkh<f
zVxKcU*c=$I!v#FrTN7KEq+e-LkH{EVpKckRGe2#(UBKcb>W#9*1q61w-+#a0bj!`H
zE1DE{jhfzF*bCP$@ql*d%|{Z7#trMJ+q-Mm@xZIYcW<xT7Pe*!r*Z@D!Gi>XI?YdY
z;mUF;bH8q2ib2dMDeGUj?C#^^V}aWuFaPYY(U-?<UAR+J85tSWQdTK^-6m(xos&~l
z^&NAvut-3CX+8AqR6r*V*I$Rfb3^LZPJ0{>MS+7Ayko5!jvYG&0F$Ag3&6W?-#)64
zO`kN-3@a6%PY$?{0cBa6=<YL*<WV&k*BjKtL`KSmM<IBoJ1Y|0Sa<&Yd^w6#O-)Vy
z*lqZrx7HA%Li#aHft<?j-MbNSIS4#U)GL#9aLD*|J!6DPQ-(_5dxxH?eW%Wx>3!uc
zDvL-+_s1U|Z7Z08KErX|#61X<n;R-(o-Pub5B`Hy{0d&5f#>2)-$VK@Y3SH#+xIPB
zyxT47<=B|!cTll*09@6y+qcIe$w%l{hE2EJ*bviDSy^e_lD8~0EUez?ys4>aS%8R|
zgx_I>OP4|j`ooSiMDU9{vU2fil)MjBe4Y1bYVII0KDszBedGu559N`?rFrQq1WzwM
z?)^bR4|)7+FtYgLzvEN>kEo>o9YOOy7bHvkU#H{#XAQ}E{hv{q|J5}-7QDK%JWwp&
z+nauBW`+Z-(VI7K#HrLbhFbaDRT<WXNW4yC)k*^60=5JGAUHXeNU|=vpDb&8(8pga
zd3bp0Q%wVFVpLuMyM1?KcK#?QC8ArKQyC`lwBTZKq7(`(6m%UAWN}*YaP?!SeXD-;
zYL;T0dL-()h+{W?HK<RDB>CuoO2Wx-slal}W-tg60m3RHon<A-6+i->&z^;VtrE(#
zTD%Bl#~GxLhAjKU<ttWzKoT)j1A#?S=K-~p_6#j>n+~JjgMri7SXfw!L`mJL=`^O`
zH2Ud`g(U}V{?GTaD=)uqdEXOn?+8$Beup<~*x<>oAb$7m-Sh!|)QWs2jU-jSH+Mw5
z&afSfqdwgesh(~j=r9_gF%}XUN(%C6Q2~LvxH-HpGe?~OAQ&2tNUu8&83klF-)F6;
zou8W-vF__A@iIin_C0K@8s~&C9{T?M*|EO5%3vLLW--lW%a+wB+1c6U7=Y`}>%T?F
zVYaiI^SRe1ip~;t)pkHVzzGHaXz|{_D_>q~XPC8KPZrs|`$WP0Ewx>NE^(4C1a%us
zf3&>y6?Mue>yP}06chvo%n-?}X4MHWwlOjL(=#&-N56k!5VA3P#Mdz@VPI#M_OpU^
zE5rwB^znH56sa+9w)Jqn@CJN?{Y<BQ*w+sXD9?g|g8aq}t0JCwcz7hC2B?lzQ}ReM
zX%Ymf3)bXUfdO8W%0Tb6VX+{{d<Cte@cMhHsu@<1pyw_&<rp^{7MW^)TAybAits3g
zBFIa_!^0W+O?YiK^`#sv&sO7o|G@)!@TgVsT4KOI=eoPQ8GxiStb4=2%Tqri$&pmz
zE;@Y{*-Po{*|U!}TxC;=^GC7GMy-37Dz-3NIc*R47bk+ci98xV(Uj?&-NLCJfjzlT
zP*4@QSq58m?CmOM<y4U1y?NJGh)YQDy#Y5u9(kg-zTFd`lJ~j!fa<f}apbk{dL<oA
zMl)d0>?%c<e$ADa)|V7c<l*}ACL!9%<NwCUcg;=YMVM6Jz>jM)qusm3#Khbtex~Gs
zUu;%d-dMFku`WTkV_?9f_86*ZTaoGSul|x|j&k<Vbh7B9SfyFNJ|&v#8X!1%Jm$}=
z@!rO(_W&SUd*YauUF%95RQBdmOXrw!>O}$f+Wfv<G@0$~msbAr%Xc8?VdyTIc)s*+
z+%9a4lLGkFGXe))Ue83vpggTa$@<LS|7yv~C5S??70kSmJ~NOhRUtCrfBeLWvB@@f
zLl9n^`$?gM2U~sL`c6WZ{`u$0GH;#}MD}_4>Xkyeg>Lpx;Wk0*o@X3}KeeiRjF~qC
zs6_l2{F<Gto&PJr<~aYApv~g3gCampsHPbCMECsl1X{Q2>A6wzkshe5!`q774TruJ
zOru^L`=aA6kO*anJc8a2r+L1BUJ(Rp-LU&}=<tsp(z(ua{t6&k$wN9sfUy*0f-I>6
zuCH8UHTqrV)TvY5*%MzY!N~6cwo<BsK0_X~0ye8G1D(cwI?MdRK^w56F3ENn`}|Z&
zG!h6eGvVjf4mz74<lS4B7+#-Z9E}=A7DwiZpIVMr_+Pix4i|!CM4&u};m<oVKyRZp
zK3*$5(B>|th{6F{NZ6*ml4m`_B>cj_sMk-?{apA{kMk#9mHP|G0hBACc6x?TUs`&e
zDtqBV5PrF{Z+hwdy6!4&4Nu4!DHrk;aZCZH76CR_xuLf@I-F#NWY7$h9sDI;T()+B
zNJGkBzkcP6_!TGEeElj*Qa`^Cv`$ENw72gDzb?6tRI_P5;A{k|nlHZj{xSH(y*qcz
zB#z<R>n$b~YXETBIXOAiX0R4?Teo&U@Fi~}lV#5yb`Fk`I4^g1_qq;zgfC{3_tHU?
z8bD;pa2ShPoBy#URxR0X=;A{}cFWFE^HUG;#G{9?wie%0sscnDKQuQt-=f1p9Vxs>
zf4lX&Bye#RM|{>xK=`vBD8>%i^eGn<77AwPz1txmpn~*}VK=nvsR)H~VarddkkZ0-
zrgOvk<`3*tq+mg-?~i3=WuGCDp@jSTCYYR?(h+DUavVx=@}fD0SO{*7oa^b^u3o)L
z%gERlqe?!Gn|hkrG3-Tb;*Qbb60Y9wpI+&CVNYJ*&%B<F&8me^`FbV@V7wa9c36WJ
zPrBfa-O_{Ky!Y_oBHiyekbY)^$mnAP$Pm<Ki6z(=@1JTImV#Z<$F3*AQ)88JW7->M
z)WkxaGNUmfSUJXm*|&UHD?;jYmvH4i1C>USEEEJ;>)x8O+M$0qw4XkGvWaifexuwc
zvLElF<q&yECWr4kH8QNI$o`)Ry91I~YwOmndS3Xvj~{BhZG59s#3*WpfV2H8QZpru
zFe#Nd8A%u3E+;I@0o5e#Ocn%f#yYxEPcE&m)kLtOOxcX}C^&((_vJSYAVoK7M2^FU
ziEJl>WLejNyVw4H0F)?Ufy(eH_)NbFJ56_olRbb~5CX=ET~N@sLjgO`cu{$!+#&?J
zHDs#p<XTO+^XDIkKi{u!L&eM4>?UQ)(comK85=?|>UrV1kGV|r7SDBit=5V3huiq0
zE>{FV#dv~b&q|#}d_w)cC-KALYM*%9h?+kNU`}NGi;gd!;qzz%a=;i9th!~Bjp}4^
z9FT^+K7anqLfyipSq1t*+k$*nfkYv1KWIB->H8Z}dvOvNxG%V#en8*)p&mb{WIou&
zFNxCdGmwZvj53d*BhGV@WtZe84)W43n%*{M4(3Gj=oEfO^1OHdekG1y#Kc#}3eRMG
z42q2aXjvw^mTN}+*vaDJ;_Q>x@$J3~w%oRePYA{((>dT~iGp_g`1Nx%xGJR&wdTuw
zw+)vKo0IgP0{WbfK-_BSL=479Xz%TvS+KRTe2R<>O!3X*9iBpQBsJ`fU)OzxNOkFr
zveopc{sHwgX<Vh&WqyQtX<t5Z+x<ezp__GTa#FcjE7L}T$a~9|FOM;XZe*@WR>XDt
z=|_x_z)2{5Ir#V#HVFT4&C1F;bam2<$Xa?{gr?ekUz`56$adzdKaQ#Ff1b5L@68o#
zb;*4(+|+-TBv5ZtMpo4lrfWU3Xw0)`v`vnK+3Yee|2(kWJrJx9@fEDfjQ4JMt(_lR
zL#o`gXZU0T*%O+HCHU9t`%Q+W)Y?tCU=xk{AvQu#wo#SAPx8vF1{&*v1+HK>A%?cS
zyN7Qw>ezBmba-h+LHxvaG)OT9;rU5yerSW!NEyH60Rm3mm(^;y#6rnq7Z8{Vi@(2x
zs|SRn3>3^dU97)yofAhdaQ9fFWksFvZ0oODT3R9tvm*`@O}3CWgu*wIEYkib_gaNW
z*@C`<_{VVBzy%YeI|nEs7ESYcD>i&D*rH`6zVtR@v~s_;I(>MyukAWPR>MUD7Y4xD
z<DS2_b_D0Zsh-yI>?MBU>Ze~5<5S0qFB|{Jto4qT4!)jZ+8ode79cemD)3V1#*f*0
zuo(c2V?Mn))9Wra|32ja504C2&g9DstL|@A-|#DVxW4>=V|oTR6gOIRqS4abVZ1Lg
zN+DX@14L2$tu<TN;Y2{>wNeRQdd5+ii?-Zd5cHT`W+8k%{EUNTpdrPH3Q5Fqyb8i9
zCs2(S9mybg(6S=^dC>m;dl0s~6t7<CN613^^0{egX<6<Ue2ZF4UzwLKUAltPFKE$z
z2bIZAT;PSMlPWk~Yy%LHI476dq`7VLkshpmv>c<#f|F55)RPF`Ot!<3Z-3t11jOp;
zJk!q)X`{Q<jrn<CVBj7}{|H1}fa8+BKX8o%b2je=sNWZLbjI*LKX9+5dK6qFM~n|8
z#9SNmf*JJ*u6I=P*L4gb-~sg~2AbG4GLn+B<-#R<YU2a%dg3ze<pbdf^V7ZYP~4xV
zrlyKcwQnL4t&r_NRS~nxel9L9!U|yrS?k7<%RM@5(ilOQb!e@J`{~%_KO$S4kHQM=
zFvaS`XAR$Da-P&Su1h!tV}VkCeX>HPjq%v`PbY{Gz{)C#7%sf%9H6)t{Q2km=4LH`
zcBB^t>_?3mhTFjiuuy}(gHcbY(|e<wko|nW%D3yhcx~6{OE8o0^75+96hGZ-e{?Gj
zk8$1h(parrO|GmT#~*EQc&)tOq4m}lqVI)oo>2PFO4gE*Wpv<ol@N!<s^93G*{iS)
zFLC|H``zwW>XY<qCg5EF1;+p=iht^8YU3T)zjl0>e$I=tdmwYL+}iQ%**kC!wLg0~
z&nYUZiS%0q&XuU{)XzeLS+78ReUDB3Dyyul95+)~P@q5DUR<B!lnKab*|&+FJ_0I}
zR~0#;wT`{9sa2rnNVFhng_N`aN!@Xo1D^qK%Q#V)?Koqj#iIm**0?EyueM(;#Ykpq
zxZ{OvRkQKeEEU3hOG|pFCSBPHrW(u7S~~|Cz8Z=wAnfjn7Gr{1dgC(XbDf>a{P-)T
zFWhe=buCKTPO|YvZo0V{VvjJ0I3y7&4w>!ByPK;?Cb@p&M!)F#B_6Ra=VBc0B!i$;
zM3iD|6a$~Z7o&#6%kH-~Fvsl;uzT0NQe5`p#fvGcJ^vNcTi;c!q*Z-lg9xGgV>Po?
z=Vm69aQ6e8#_QB4wu(7t6+YVDJ4x8*yl$xRM9hkXbpkgN+<NiEo1e_BEjPbG6&s`?
zTkxMLWYe8GeH!P0Xx7M5a$qsX-mT#}GTMqGUxiaO(zl73dGI5TsdCQMbb>}en|9O<
zLds2;Pe-QBxH^>pDf`*w#S5?7E?7kheiitArlJtKDXC$QD9PQCdsIM5Wm*>05x6^s
zcqLN%ZsyXA8O&YK^dMdrByq_Tx7R)a(mBB_YV?JBY@kV~LUiNCjYMdKAIPX4)Uwt5
z?3B8xj7F--3u1`K%RA~fjxEK;&Mv;~u+e+-TpZr-1VX5)s>XG-b#!$6NMDY1vHo=}
zeGtS@17w2XAFmzn`K?>JJ&eA|c91bpPSlQ6hz&m5umO6wwDd=b89sxmvvAzhztM5)
zsfp$2cKGoe<{w<YJ+0#Xlik&+rdoa}KobU_x#4fphzq3KvL)Pu_1wXo$P#QPiJSm5
zXn+V4rIHv1n~ZS^ms(0`$OkNqh1Wv-rZv)Fap9N<b)K6>WLFWFlBxwv0BgYCyGcdr
zg<$CS?^g&f6Qz}#1IflB%NH5lf{4B>-AGBF5QT$5yhqs$eIwH9SG%@#>zGBej#gl?
zDXDu9l>q>GGS}i?ZnXC<NP5615&;(z(3h%-iAm4r(EBJyO_~sz;-I^+@$pp;=xpXt
zJWoRP<DDli(cgw|BxavnScF!t^AgFN_8x|>GERiTJncmq=002B5+xFZOiA$jl1nge
zHrTAC3wW8a<Na*#M|J4wh@N3kkDx@Pn}|7#URkDyg}T7JNJi5-p!!X*55zmcF4OP$
z;7QnW0aC>_-UL_$^y(LFdA3h(Sc80=$IJjTAKo|>KG=!~;kZm`@k#*Zcye7<GxUsu
z&>`SppnirS0Tp!|s1d>3<9O<hK;nu*_8KxnqBc`Y;P6(1tzoPJAm<4Zhv@8&6Q283
zWIe1}->n?$t~>*MA}$i9JIZ@EWYFWG;+_Y|lDaYqWED2T$d?QpVaT?Z3VpgN&Ae@t
z1Vj)~k_UdrbJBbe7rqG3zU5vE`&<ujA^`#CV{m~Twy3^}i;JPr8KsN^Z{U8MTT0<(
zCm~!JT^B%PTDfv%Hy9Wq4*bWnP_M}biaH&#AHGx_uchTdgyo0yJjda)v2nPDm(457
z8vekc=Y=m@xZQ4~t0d~_PyT4_`Si*S5h9-X&-@dhG$BTKRIVX)wn-r*cNpskx1cWu
zQWGJ})5k|&Ru?}^w>;uKGBorFu{InuUpIEYM+iiz;@aBU?gHE)$~gDh-9_U_w~z!k
zoAHtFm>==Z+zDp^E=qLl_Wu3@`P@b|WB3_G-FSMm+XE1QxK|=h-u<J-7_8hhGPkl0
z!h2&1<9e_OLg6lRy;{U_0{a6buaG-;enaUO1@X;S*gk<{kswIG`bLHHDwPrzY+zuZ
z#+Z1T0F1z|=_*1hqS#v;@g~9<s@AY(=NXA7PoC6_W0M)6uw5iq*tk*nJY_+Zq7MCB
zuGoWBA`Uwv&l$G|-m)41BKZ^}6~A#(%<Yx*H&fNdWnHst;<Zd|R^!X{Sf5P9Le!55
z$$@YT;_>r7Rw3~wLx7wcZ!jf>i?S3PCU1E<0D}R1NaB<FbcUG}Jx{Hif|~%WiRH!s
zc7dPwMGt_$pgAWSFh9v<!MQp@=0uS@vzIn~#=`u}&oqbk31vSFj0-7}Z~`O<Q3FsI
zPV`uy604;;JAkmOAOsBizPuS88L7l}ql0$?g%LK_hrVHa6pQxG@9PoyKH}6=C+W*s
zfB$&Qi%UxpE+51)P8b@B>G%*(DfTcs)NYaz-bn?~@(~rC{L7Q8v!{EaeUF&GEUw0;
zXfJK$=p>*F^&z2D1x%3e{pFTQn2z3FLk%TP_`?7{2?%4Qy39|7`-GAwerUZAhd4o;
zxI_Y-Nw@5he{=DauAZJ?ETJ;;nAUAOTm=Gz78WmJiNR^BM@l8WLxe+L4RFLqA7Odd
z=066{UK8Nq@e*lAD3pync_Yp_0rM>SSO$>#pGa|tTkEzr0ruI3=cw5bY*;m1XnN0a
zWs{uSn*!2>05mMY((yW~2}`l{a61)H^xWsM2Gz^hZ59f+JpW}|?o_N4wH7rC-V^*P
zu?_ftq_!m|usohbh4(jLpk=ae--z4`dEp}onUp>~JQYBUN{;p@HcSbEsV<3tlt&RV
zuWmnL5{belUh-l#H8M77180#cp~e~D5VG%IAF!?PVdan3{N#%TG^{KvY(D{unGg;F
zWKlohLyy?G#0pWlRFfuuS;AYi+#$;dFhjN)^o(evF>=meUX{mr_-mhud0OLy2#D78
zAR<+P=6Lb*+1pCua247;*om-(34HzFi#U$kedOno<8bn3k~rfgaFv6ke?lr>G7Lm5
zj@;V2Slv+0fCiC486l7NZw+;o`Wag{2K<VTI*{wpa>ksCCUEBxHQi?LYb<gj^)t{`
zGB|UfqWbPdx{^N;MZL)UWE-&+AclB8f4+wbis&Utj!rZEse6=gwjaO9S1RSx|9lc|
z7)6j4qBDKGqyQvlNDwhwKn$k8JdO9eLy9aW2+>0b(ok_q>%WFj3E;2%b1{u~{h+h-
zkOyE#HT|(J8PA|hSwOE9`H{Dxu71Vx<)G~3f2_nk{PH&L0w>TB>Y5s{u8z}U_|>4G
zn>TNM$E_j(OJauX=#3k-B}rMxudT$blyHekZXno4pjD*Jx@r2`I}tUp9mBVf$kQH*
zyi7E15S4rJ16cJ9Aq+8yUQN?PA^)?iNBTtelaG?el1`8HYN(Pe*b?z%_ZjeY=Rh8T
z)vsQ$L3js>7vKl=3gM9lKWQA0aN0H-Z)re}2N7TeJ>H}P;MYcbzJ&pprxMY`6Q>KA
zK?zRXw9q!<w_DVkFVxam=FSe^Z(`PrRy>e7LxM*64_JSD`cs=pfksMr!x^YQW2L+m
zSH5Q1?@=V=0dHoUx22^e1hO}AyS==G%pVHmQ1Oybvs=_jfaiO%&;vuXJc<eA_+e{x
zn0qLBGLpF$2Vh>Q5gV*eK1X<sI~#XbMab-?e#YAHAyJaRnkr4`;uddE;ahL-%;&c1
z{>)0prP-KqfR|Se$-y|~HS$l34Ox5?4!wcQj(t25fub59cHg9s!wzuk&>iYkg#zg3
zEnor6Lg|D5NOVkTy7=Y_0?QtG&}?RwVD(*+FIO-Ta!Ab)N<FDP1(!|*Q*UiN0=dKY
zV7DY}TCnyXGRi6|<*+15@NVBFEO2{y>jln(2W3Hf*ZK=sws&{$>z=NRFLY;)hfEf}
z1$!Bw3fbKwjw@Rh=+H0D4bZ|&2<g`krwivJJVCcaH85`)G~#>IiNKBKixA<cB-!aC
zp#Tb!6Efac_tda?+X#$`t_^qd->T!BT7!imMA6K|pcf0;6BI-oMv0wxDLYxnV&?<a
z5Plr7@p-|;C))IN(@;kdt9_++;?#ac7-j)bP?8cEdzQFJf%n<K{0&&6vVeCg{iU75
zdj^CZu^tkRwI0gl2QRL8RLSh{mOx`Pvsq$^u`U%u75KonZsosiBn%8_SwjeWu*CR}
zrMMzyK`qr^%IUv@?M}@!g<PVcjFWP7{s?1f_P-&>w+q=MMKc=`&r^dZUIGNEe7NKb
zqkiObQtQawBb(S{4@mAlf(K3R`n?j8k5QH}H#e`V2ayzsdvdvo#5p`@?bmDZ@LPSC
zUPsS;6!vdVZF=IqCq)m8^@b=!;vzOK{VJOUR%v>?p93O9_T;zwIFH05M1+CVW@j~!
zXO@c@9KU_^3Ahk1I22*0jD(>GVNM2;E*Ne?T`w^zxPQBfgZVmzg@s4qlI(@gcF`_&
z{HN<<2Qy=iXEKToQmbOE2k$wM_mN4QL)8^XIt8Bi=MikZIG2TahQmhQk^#bz2q7N;
z`1BlMGWS;`Ec#<F)L&ru)Kj<p3`?cUV?b==i6Rg1GyV9{msp|Nuz&NKr%1>Y+B9&G
zY70j6w{eqR5#V>;=inYi9PJCtK&UXDr@zGELs@}rk!U{%%#LJ^J@78%9=_ezWyW1p
zPx2%ld9i?8PeV|%e1Bp4RR)qd%RZbE61Y%g_xv5fRrYE7b50FXc3%O?%NWd=u_Bom
zcqR%d6+h~^$3QY{X2%#e4ink<N~I#;!tjh|L>KoPC+ux{SAZNGn}2<7B$kG(TvWCJ
z&eQr+)6?}ysO(~Plwg0nzK@dwjwHbD+g+o6!it4ZpDtzD3+}G26u$|4@6cjBQ3OSb
zxT+V`UikAXb3j@n^$5gr;~ll=p{HdDU`}<Kao3{EAv7bYM{!HosEZO9>Q;j0R8gQy
zXpx2Sbe^BO48#?U#RY)+h^>YrzB`e;wX}VNnB6UumR>iJ_1j_|DZNUk@P#yA?bvY?
z)b}$O$?7_=498ukZj8ieWGbR8slmaj%67CR6fzMO<Q|n(;7A?$@MP*nzLaj+hYtz8
z*5NnFt>IPzVI}Ux8A}K+6iODVY>4SC1`uPgFDQ+i&<r^7!ic|wG=r3poD!>+TE2)q
zhffl>sq1lq4?IGat@!o(lQT@8Amj7FEB7>-tgU-~DnJ@)+ouROBnuF(J{Tz1k~k9C
z4lQ=CNk^b3$`IU<M+ne&G>YRrN;s1jm`!xC*^UO+q?zmV2IjweN1Bi>^5Jsh;Q7y?
z5h<G4{Rt^k@h~YLxIk!47!_*!Z)+oRvhng(?z=_y3Ld9?023eX)uh&*NF&e*ry0!^
z50(ge{QTZQP#q{i>at+jR06w6w{c_Z=*z|Df_HrsPCiD^$DZcgTpZn)L9BfYB9>b7
zURKsfKpwqkBz?#&#j>QYE(=a@fT=bw%rr05pz7Cl3Vi-N4E;+!G7Pxs5>2w)UbXo<
z$mNxI*Y2*Ez!#~!pon`L(-X^PP{s6ghX+1K;Fg#{I`EeRpdt_Hn{`eF>Sz)ui-v$g
zvt~_6%>a8>MW7Nm^VzvMI&f}Zz9{>Rog4-bK-qi%_bxtXn!RCs<(kbA@Q$-<W~HH2
zB&||=l?dyA$Creed+AVNGZP;9k?@4WKs+$$SR>Um$pcWstSX(tCH$WE8m9t|e?k=v
zG{(Yr<>OIQ8#UOpFVrFFQPexY)jx-x$U<849OlMqW3}iPtmhEOTpJ!1m|fWUh%_1?
zDU;QQzugLL7ARlddyY{(ezqPMG^7|uDa8k{5K_UQGVCD<X0KnrR-bqXJqGr@D6r=o
zs6@~#5(@2<jY=#epyOW=yEM?zR2<jel*X4>l@TZGHM6b@^DT@UL??qZdYR(2az(X@
zy8dE2-VShdvJfeigifGs(zgQ&$2nC#BKxrE*BC@i!WTead+g`umjd@O$h3~Mf3oH@
zjPn`RumPYU1<8UaB0ZN-z{$o&-$g}o0LpFf-73v{_wH?eSBH(cBNwL1ma4X&zR%$B
zgwtovL<8eEK&=Bf*(Wmk@kCry$!YZG;iehaBS8>Uhz#DD(G0!^^o0&8zMVz=(3})t
zk0hWOyHP^x>d-A>h$7-KU|-2t8URVEiV|1+@8qW6TJ;}XClpH{Rj4pE2$Bk^CK`rd
z-Ft_}{()5dI}<7@af|+^VAild2-0#F9=^k(4~d`9en6|$*sqKe+YpU!uitLq6zK0?
z8Uo@u$aT(I)P@(E=S?*8&sSgHX%bVygRLks{C+n<G<v1p=I8!%GLg|##xn$Qh>#kn
zc9Qf5L5iU)Pl7W6erRzI0#kd(gMxN6S=VYz1G`$p7BBfl?Q8HpD7DiwTV8|xmq(u|
zat}LI(C$Z2V^b6P=$Y=tOT4FBjkj8+P3-*ah!pWhfatHqqL_5s)ZoH^LQP3pP*aG!
z4-BHbSMlGvS3N>Nyq@(~&v+yV>m%+#ZVoIx1Uptt*kdo`jm=LVbpzS(9<8>_&Xd6q
zQ~@1t<bZj36%oOfD2|Z${^<!R-8n=C`8ag}(s~Jp8998_*au2Am#g7)BOX>FnSwQ{
z4wqs^_kk1yWe*lGP~tcnFsQhLAfID&hx%+30LdL6pbAw1De#C`K|~^mP=p#qNnfY1
zO{y1>ZxPIsUPwR_g=`0FzwvCxi5?Q};S?VE3(`L-WoC4kJb?-<R_XbzTes+xaccg(
zQC85Zk@%j_UMP*DUmc^ui^A<Zs?j8&XP^mPr$AR)1MC|0Bj#0yp7Z*tpE71#Trbe(
zhvtPAw$2UZV}EXvx`NjxT+`UVUAX72{CQ{Ny?ggQ;}m$uw+;VQ>9l+#y~Z%7T|t;5
zr56z+u$!qKVDuq3k;wKm8n66*E9rQl(1?IjfbGPQ&~IR|cTtJC1^lo?+#)Nu6!Z_`
z8wl_R{!%$NxP1Rt$)Y@#;3hoSUPAUG$--}M!2Ca_3V~F?rQZs=1J}yTOum}EH^<U<
z9=kw^TKbaW@Afx`)-~)7V%6_xYuimF?3Jd=oHZ;&XFbZM|N8Y|kQNg}&;)T^GXWC6
z26sDg>}Q%p0kp~z#JrjI&xDir;uc@$&sW;?#k%01d0qU-Ec`WxcLR`V*$n7Rb~yR4
z44y2+CWP`YN-Z^RgySc~zPAI6?;@%c*8M<BS~v4Ih!Mhql?ro)G-woBI=T*D(iw+`
z>#o99zRo>T0R(@m!I#gjl0YJAI8efpM+UzX6akh5SfHjZ@p58vpopU)V4uaJQj4D+
zl>rK^jg;F<G8w3lN<5X&KnFB3<iV%*Alq^fqau00=v3o96aDX)SMr;?+-?Z`i#_o|
zlWZA0q~(DYn_7B%qoEiGByL{%Zp)+AAB($>{L^In;{L){7yeCe|9{m8`(GXw@IMzM
zH{id=o&4W(Q*Q0?7IK--f;8DaI2aGe0_vTem9-#_^zk4+>Aq1Og)XVmuw}n8W(0V&
z5l;lCAkqEsI6BOoNpXZ=%?1g;uqH+ZJ_eF`!UG({kv}rJ|1v?>d_@a7p`XKI(fmln
zLLieDib6}5`C$t$^L;SQaGDXGkE9=u(Q=`|2%r)NXuyE*&wF!Ff0HN;FGSqOkJ5g|
zF!Z1&Hzh|5-A_cf1c98<d2;EJt_yN(Cb~^a{^;0Xf0pDcpN@k8sYjz-+ze256tIsk
zkIrofZYI+L%ub_E!0V%@aGtlq8RRAzSU?hN(2pfYvuyBhoqufFl-Q)&)7ly=8!EmJ
zx@+wmQG^j&q9ID#IF+N#i3rPn(cdi&I?vi6hAL|TwAySZZI-G0q@^WjhYv$3tkDN+
z-MAX<&_F4sRiyb-cSScyU9}5{y`}ElK8cw}41D6K8Ip3)DL8Spda-i-*|>6EL&pS!
zcn?6vqA{8lohkkMB4Pa!beX>zml^>%T9UBtFcC^PBDx_)V#vbbFG&?Xyk}5XDS~e>
zRZWEu3uli>{UX5o>)Pu&(R&U1hE=6Ax)M>kc!12&URO?58R7*1{Ei|gViC%5nyF7h
z?v;ai0)~cuqk1`6+0nYof%>zPLsP;(w@Dt)t#6SrP-KXK17I&4(Q==Nhz1IKd63gF
zQkO*F9fhzl29+cdj0Hep@sL4=MaPFoz=^}gfzH#BU;#<r{c-`an0N$93(p=~lsa+M
z|HQ~_J^2MKObVa^5}U?Jd5TAxcyQW9Ne|L-1%jm`BO7hn2T@Szw5QBLC&&n`U-~`D
z8M^;5H7_p3|BXKG|DFiEhy$_4e?OGx|C>DPx~m5bfhg<XVC2oDr3n0-v(vJfXxeD_
zlsS3wCV~ZN^|tA+*N0|l)9*6SD1g8&j+r<$bF0ud2hztd5WE4n6!IVDL4dzh07$dy
zEZwT~Vl!pS2$II)gC-I6Wi+&Alw^cIlZV|aG(6l83_LMl!ky+)sgstT9*OWu*k1%C
ztH~eQglPqPQTy`L{g^pa>ZEfHtrx_})l(VnE*U5q3oMyFOuH=YH>IVaL1t^FCkDAd
zYk-D|f>S9<HuN6Yf;g1yJ?I`OAF}z3={I1sjlaA;<{=M7X0A(YK?aUxc?blsdPRdG
zB?MmCW&9FGV6g4qe;(JWfxZ?Ewowwa@Dmm|kQ5+k$)KzyEjd`9=%Cxnj*9-gosXr+
zyGD*9JPPPUy#^+FdXyLe@WByD8V=LpzOMfMScF*JOP9zTB2+jLq%_4Kh!ey^20Kwe
ze8nnh?w<pk-iJd2DS-zuTCr?jQSaC6Ok^?nu=88d&_uZB^l=dwqrp&x!s=Fx8WCAp
z78O5n@uMi~MZB$sg5oc`g;M+TZs%?E@%emv9sE@XQ%r4pg278f0ipMhaVpS~4uR_S
z>qk<OM-P2_TiYw><~{Iz)xgWhN=1(?{{0*?2~7H%K}d$ztjbHLk>IxdFZtTwr8!I-
zry%6uvXIA`Bs)%+Z1G<N_CX)jQqD(7A2ax>-t+0i#9I0t_e18+d39#o_iGqi=ryLl
zoqRw<M5HJOb_7)DzG%vdCuV5O{*VVZWt|BziZth=A6_Hps*2d`j~gh+zCDv$A^ijI
zaLa$vW_$?jw^2V_ZzO-={)Lk&5j`_d*X8ggE$7@>$bN2F|8p$CUMW>SajL;S{la&*
zGG@KP!@oX8%?}QMny~uI{Pd1Hjd1KyJz(RFF$N|fawLR*cqfc2#lUY9JuOZ%+rW4R
zyl=k%FJ;dVfmweR6&ZrtLKA`?Zrxt0L)Qyi$m83{C=tTxS^w2D){ttdbmdA!SqdCv
zy|D2(pofi)iHVa+OndkUp=d*hKyHl_+DG2@(bgwE`_?hA%ymSiZqqw!uq)CzUeh62
znWs8RLk)O>c#ibS{UawQ?f8toNN?J6UK$FQHBK`TF%B0^Lc<<|hWnj)VbTrlDZ!*$
z8#T1S=a9SX@(~x5?m|ua2+ao`7BRpHaX1@l)l9Rkd%M=>>5|TDBF_S*@I8AP0?v?x
z47m7;t#i@tP8^c3DM_QXDWxB~Tmd~F#K}qQ55&_8$c5enpDve4tR~u7j7Gpa9BnNU
z-f%STut`$7>_Gf3mi}i|!n;r82iTt`o(B|<F~C0tXr=ZD0gts0wI`^d>Xx@R(C&7`
zPY2Vu3_%=_p1fVVcaxDR$)?Sk7#s0A^H22n5^e1hT&fU_wm)PNQN?PO4sKn+MnRuc
zI$C4UMBk8PZ)X=FA1Nz-{(Px*?#>gpBh1?hdtf+t)G#+YOIRoCzArNI+2g(}-RQ0V
zghSKb`ef$g19VJ4A}K5KA^XXukbI1Ji){vy$62#Ex|<^9LI;`>jolwSsKV5hOO@lb
zd|kw!Z#>fsADtT5mGVR>(9nrZdkovnJege^ZbT{(xcM(T@t`HX1oulsau7?2&a*>j
zh*pS>h-$b!ESgLqt`d%IYz(~+f7c`azPkDO>5L9%%8sY;-YEUQNL0?lxP!>}9R<SS
z{+~GXQEG(vXK-Lv?e90DO};+K7PA82v?9|^NV5duKT)!4!rS+&CY>eLDq_k;>ve~n
z5oBt6d;2<D4=e@SA-EggE66{SPl>VWk$==%T6{4*M}$49#c+l66+mhtGzLmO_4=m<
zag7aM6A}`tf-uWyVyl2f2-G*jN=2j@i5G$jh|jR&tP_O&%5QJVS38%sZhmqgDDRsz
z9A^4^rF4^(jq=mCEd*NBC-u%z@+5D4Yu)g7Fct}*2OGcYAKiR7Vfv_?JVM}O#aiZf
zvQlwu$?ytR>ISjd*D!hqLH1ySHx|0395Q1&N(#u=ewGR3)m<Cpy2?Lq(K@U9;Y*6w
z0mtlY%gdHM%cZZ--E$K=`x$YT&#dJr;$#U93Y>qRM!PFx|Dl7t6mMbCIS8ek$U^8s
zi3ImdrXL(vS!}4F{IGo?bZ)z#x{J8s@pof<9WP&|$*w<|qr8@>!lLBg8~vooIIG16
zE#Lot0L;H?H)PV=B25cV1r=4@;q*VivM4ut^EY~*X&L{MFt^aSFippQlRElnJb-RY
zELc%ryiT|3_JAFtlygP;1=7|!ToPa(P|#vnuSP7Q|1mF-HSh_Bmi+i(HV1JVO?S4%
zmm4GL)oL%OYuqrmURPMnM_-$T=^elw`v4nEOky}KGTHCgf9-c|uI;1Wr1s#9%>$~<
zgS!U`cV`Oeo@eywGB5DoM1YS`UBb#?VkS8?%@yzSPuFZT4{hv^-_d2Cy24p2QRlo7
z4^th_9{iU=@7_0Xljn_XKv8Yt(rx-jbV>IIv~H3OfaXd$L*Hu~{q3D9;cZ`gcjN!@
z#)Jx4gqY@+E=KWo{j1fJvgzMp)p8b+YKcPuEvo=eq@$X@=`x}e@wUOb8;Xo-`1bnB
zx@mu~&BPgm7~cUH1VY*XC!}2LTEjDrLOysmxUxq*NNXzubO;?(5<dq*y26eK#=(C`
zT#v};yKtP>F$o_ja)xG<j=)NWi9`beO(Rde(3&+arE4QzOenBqydGf(;SLYRS<dME
z#Y8S{dd49iQYhMI7Tq7!>hx&_>Q6m94gs`5D)<0Z0I!|iHm^oW`|w~ZuYB<Fl`xm6
zgNRP+&RxYn;}ip%&;HHlQfe`NN8O2CvbArBjmGliW%pvR(1+}PTtJtVCddl|^n(HN
zboNx5v7aey2bEqrWcw1Kw?_1~_IF5Pipb(w+1b@EPpyGLB4USR!9ITxCPGN=b{BpL
zUmrRG*f=@kDCO_c{RQ@*JJ<p9I7rh3&?P&znw0R+O~7Fd>2S*u|2f-sPbEzmfORwv
z8O|;6BFXN%BgeDutv{7hD<_7uej?Srj$VKx0+xN!(4`K}g-m-w+>A!{Rhc2}auU9W
zWZqmX7|mUnlOlcPglol$W%L{}5sIU)CH`yVR?;X#hv{i#HdPsaa}})rZBdnJ{kU1+
zSIF>1Oizozi*gl-ip`BaCEZuZL<q{~ATG#5#!m)RyZqc)&9Wd3RL3zQr+_?2#>5pU
z-@QaefP2JWW!kumuFWAIY%d@BlZdeXs_J+FzJ)QHWDubsre5Yuep^F^N`gR8^f{>O
zuOeu6W*VjmKA_o$TX|2Dz78^73Eo07c1K`5wQIs0vI4aA*E!((cT*iO`G}_7-{clY
z;j7mb8#Q?L0OnL<i;hA%A-&~ffLawwlH<G^%&pGjLV6=YZ}17wYThs_nFU)C=}ae3
z9O&^qtTOnYDllDZdXk3m0n9O^iqE)S9%y2J1UAHFcPb1YHUo{3UYZV6^8TOzS)tMa
z7RlKm#nG%jWJ}z+WSNQeh>TbvZ6{=B;8Sj{(x($%5%%=bRWSSZ<MtR$`T(f0AqnoD
z>ML~#p<{C}!kZp4uCJnF-7H?tP>Y?&ASF5#A`u8hZyVSx$>?P6H<#5HU~AVaL<UVr
zUg*_YI0*b{SXmQvY(-o1!u-SmMdc#`hUyEPyLadR7#ZP(tvY{pi_#qdOLh48AAlR%
zh7M33R3Exl-#@<H$G7=3UJE{d23Y<J0mJ;27%6D;e+Aa35a%Uk5REJk5h-*)APJ0D
zR1CJ^r61sfZbjEus(O5M`bA-y8OBd_Iv&2h25Fg@+Xyhz&qXYG2u(sL-fWA7)%kf7
z*!6D%@uNqdnA?E2x1ug6M3EWegtq;)02ewa)5;HgU5O**0yM^R!s87botHh;cBl*N
z;Wui^sD6CO|A_gw=e^d+*XiA1duQ-?fLd?hd2hCcd4c-QH`s}w72k!$qQWJHrm;Dw
z!KCsd9f<H)D?&blqp<HfXR<U_avNs)5JLlirbh^Nvmr_d1F&${YE-Mf@Q$ZhM@B}X
zIY22=HWWemqa%UsFz(_|B%a%M@Hv-O9MBCJWtxFgqwwnVI?{Fhp|tc+=Aj^IkZ-<(
zq#GHGf!d6S_M|sA@zK1fCV(=T+!Jthn2PA@<?oi5W*|&6!uW|!#{&i<m<)+EPEQOm
z6?>@IdT$%c)YhlDenPgyOuq+hZ`9hsa_af>NdkJX5Wt3L)=*)u!NYV*<JiMu_%=Wh
z)6&!1MYCqgAA3-Q4>*cQ#<pWeOPFm6tsZhOWd=RNq()59&%`_TM6!fT_a0M2$viq7
zH*yNIf4o~mN*lDhsK8#1;#_l&g0o}dWp$94ksuWiek7m_;q#IPv^dzApGI*qSZtdC
z<bKM|?i=7TZx8iQcg?X@Z_vj21C8moEVe&usKc&E#&8C()ZZISbE~0RR_D675S{@e
z@X*Rgt4ch{aQa%#+S*{cs=z?o_rW&I<qHKR09f5X7v3Tt$Kd`>_>5J7_vF-6B)SS5
z`jcykFBu&*YS<YyfN!LQ`1+ApHIG1^sc57V1GEDAVilA73$s$V%YQD}gJPWdvDuM|
zXvc{GfQ8%+UyWkVHpEjJ6d@AW0+{?r;)+$RhOI#Cc*DB4>Ki?PH*kcyAM$^F%z{4T
zGk7jo*TmmCP2OVgYZ!X?;FmpxcE=3s0~t6yg><ROXb!&ukql7#M2cy=b}nhqLaeGq
zbHe@6n|W(-p0G!2Rxw}Q0rv_SVu4csGfv2FovzC}u>^$9hBk~v^^uP4t>a~~t!Mlc
zz%xZ`d~kS1!Fz-OuC;R$&G8sgWr&EqM`_T3kgc$GDWIP!@m%@=Zl<~>qw~;}$KqY)
z&fV6&g4D25UE^(up|DBJvIUSY2B@{BYjfvGT!abs%S~|&_X}~4e}gfAcwj2W0kMh3
zjEw0K0^*-EgB^B4WtI%j!}93F*Em{d9?%DaoPca-;t_(y>p@==gP8NxC;nD+&l(Fw
zSy=uIxp(h*>Q{$zs9zTcgh5~P!9-;nR3_WSoYj$c5>vn;Q9WRnAaNE+zBp!>CK<0t
zgk|DMO@Z-`P+<TwnE!m}jbP9Z(mIBLcmp4C*k(loj+h^Z@9YJlf2Z#zvx7<x&u9ni
z&M-KS2JjHl14T^sFxjHjtr~&|CMTzjUiIH8rel#0Nk92g@gKxnf4HB2d<IhkXfcG$
zvJ@{S6mGV~yugmuCXVsxw%|r&R7@MmXqYz;C{Au`g;odz6^(-4;LGb^GK0G8g^&^y
zc?;FK)J-+s94s)oh2UJ)C&j8HB82cI<d~v1hpXU1Wfy`GJI0$`t5T+~<Bh}iv#?B@
zQ!ux+O`T`9Y<CyYai6t^WqPdMFrGMTh{Xm|;~YTIRiXx_-LmDf6Ef1*X$eiz70$X@
z73km-&Y1DMqXXJFftddIuq-tXhF4+(o3cF&s|!YEmyI>6oN;CbAx36AL-eWP+uL&K
z=P4U&-iWY6=G39s!F}>XcYllTCi9oG4~o|jREJt0T7Z<_IGIs^d)w)a1{+8_CB|Z1
z){6_pKo$z@-Y8}}Mq-~x#y8Q?3=f_K_k|~$M1F1Xt&<8&lSBPf`~@mB3H>KLc%U!q
z!1+?MH~s;mz-PPJp`zG1STqeLCnxE5pMJm%vk~Be9zE`OAr?K>DaE7-vt#V&Ne{I-
zJT*G4?{3|OlW7QZYG@~?e1JphG0O23&PpNP>;n|{TLIvB2Qqp&+h8~3_%XtJ|5cj-
z*ee&L0`LhA^a$k#(bjRfX&#$^fr*K!5NwGq=$~ymg%5ae6+Il`@S_!F=Yh6x%IVPy
zQwS@bHYWWjYeDK^|7gkkl%sHLaNy7Igp7;oE@;oluc)Y?$Ltt$Y;7IXqNmYw!2_fH
zauNO@Hr0encUwC;boVR2&YK*o)p`g4@566v*B*l8wJx9g0Zw2eJ<8|g-0WO3-0d_%
z-2)umoTC+8ia!%FolXK~{<XO*%mkXlPOO7&k3vAI%ZILf4EiYS)bNQXJs1ktX)Ld$
zaOcg{n;t-IY(pqNObp7eK=Gc&+j@x1kT$CB{}zY{%rdzdg}9^^k~2;R`R8endFLt$
zRQyHu;9tC;`Ajk8v*ynI`-wie;h~}FvsX<#6N`33#H5Fvh$QJY(AtGq(TAc=)AXo(
z3Nfiy!&y{sr#Ejg5al{*9s0z_4z6vR78^zADoK$-G*~AkCAAy2RBtgC=ae>QoB?ul
z2yl3XEm?@L*)sh!{bAZg^`}ptKE&9ctvDXMg!w#q@+AGMGwz(U3&B>;XCD|!&cX9%
zTG<7zm=^`gMRX!EAPMjj@5biR)lGZUdE$tp=S>CXY|`{)m3Btu#=BVW{nav#p%&6t
zF;?&zxjp2<WTSzCkm26DlGc1MYvhp(Og;ISABWz(oFQO3wNx0&N~dQWZ;0f&V|LI%
zmaU-W+3v^@OnFAed$*wDdC|F1Ir7<lAc{c%eE>Rw9!-!dtpz1pzkBy#tn1@TF`C(e
zMQw<PTS?Vr4w$(OOLyAJ$|`tz&V1aiG*B$}V}-&CfjtQPCFa5`TVZs!9r8Ki##_{e
zvvC^P<N;C<d2he1TgOLk6aiJ$;o9slsGfF?OM+R3JRZA{F}#b9|2KcZ;2#Rm0SYne
zVHly2%~o4~$PgF?|8aVr6h6485|QXP_>LaxgB^+e$rykEL_|Q*tdrA^x2s}{-0$DF
zoE}<6VT<wR&`bqOhaa-SX7WMQD|1seTJ374$T&rR=UI%fQFeFHX}l)1?k%I)s%gWc
zL$$RS`fOaA<5HVxYl<gIcyqrEo5PEt0lm0p0dL_GoX$q|Cg*Pw=>fpY&ln9Ks$?p@
z(=8f03x9g=tyk-G&_1LJ7g^KX8o~23NUkK;l41_09FaPU^sOVu>h?N93Lyp+fKN}T
zxTuRGNE$}Pe0Z#xh|dvFR^aB;2;iH<crz&Uq+ZtG<ARF?@e2)$@{bw@kuK2EEANqH
zRCf^iMRi=;a{O@#oj5xUoGxqF?ynBIL}ReNv)a{QOvkZCr^@%p@PLHq1-LmCAe3li
zJMcB6fT|^u18MjRK?SRi5?(TP3!4$Jgb;C#J$wB4!iWP7k!2rAZ9TwEiTVJ8gDAqp
zRGOhDsH5_!0+6u~J`EQEsVQNuGHgJpFbZ0wVN?hs$3$U7n+<qgiM|6egJxe5nH>Nl
za{n_Ofd=3_g1u2GpCyP4IS2<~e=OY1IJckSRE>2?g>?X+mLPBkDC(q3qX!KWr0en!
zdXfFwV6f8yl`svQ1RtPnH_=CMUCY>fRN5>oC!L+0ZK|8#(e~ujP=()4JH?o=8)T>j
zU^-P6&>gb*rCRf4l(b47rDv$#0pa^b+W^DMx{ItjE<4!SkqcpHtIe1T@{2X<J^-Kn
z4JoAS6l*SrT9TEDiI>0(@;Qbp?!n{}bSE8+3GkY)_GFVej``~FL0CMRBa>|Y_~YUT
zU}VJ`Q!>E@D@BwljDPTe;1!Rva1;iF8c~=~L80G4LrGv8kIB_-)0oAsk6D$|=&c~r
zEZ_>P32Wx95Pk(4JllZ-2gJey!?!gj&10518qF8S%@gt;xHEY?-Mr)-3LP@=o3J6|
z?=m2#lHnkp`{YjN<m4E93_6x#Y5~hg5Ku`mrkA1+`d|~PBH5f!?#C~M;D-(C1r$V>
zOloazw`U0W$>NJ|l$+0eCJZncyo1t034$ZK-lHEpSlc^J8vn1YVv<JLMqb(gk(z(I
zA41oAfD3q^LF<+gha<qgDgj}*Vkqw2Ir3Kl0L87*ElG@iFbc;KI0jrr3V>-0c`$yo
zZE5TPp}wIPRe}2Mi|UFWW|)EffPm)Ispqq|p%swvZUkkY2wVl1SfTnSXP0bGYmir%
zBo~8rHRJ5-KMH4eV?-&~0R?I4$B-w<+<T%;*0eQxuPBH40&r3uAA*&NTqlnjkod1b
z<}8YF0I@MMXd{yGAo2pDNN@EWfhGqushlCD$aD^z3Z(WJg>4a_xY;4Of%KEn(Xpa_
zBeV#-7u856+nM~b$_3D{gQ!=TWj~V8&yVpuD0821ub*5)cGOlhUgs>#J37H`t%||o
z;P8W>^L_oylaD|70p*D_3lPUElo`@E=U4n3-HgO4Od4$PrxGru=m7bUu1rE~kV&Xy
zY5}<sAWn>@!NDm*1t2PwNn~f%1N1GE;kuw1a6&?$AJ<(K^7HkL`q{2eW+)PiIW`2D
z+i>pr{>5>@MNE$8vHv~;%CS&ESjk|RBAL#bmUe{DQ@EcciH{H?$nYtLp2+YdP$A?G
zG2jk9x0*|E?q1L`w`rRL53y+U#KxQkzF8cAj=M&z=B!i{Ld4RC_RVB8SYunAL(9R{
z0Be8r_#%PIq9z0#X`FZf=N7yO;f-|ZZxb!iv{@9E8Zf$b3#*F_w?E%jWHY+0!SA6H
z-X&>eMud2qA%!kf!awy^qj#c3u=CzjC9pr9SL&d48DIvMOZG*2i3sF#gDwk|n8{^@
z@Wde~Sl{{R1{7X0>5NQE8>^`TlrTg~b3F!T;7_e^fb4|gT<nlq_>lDoxCtS|=XSf5
zs+wONdJh2mI$@iGK<Z{CLw~W5WIF#SLf&_T-D>Qd7_GHJ-}Jf|w{43CKJP}^RO3WC
zQ1Q;MO>O;Q`>X4&HtfyY7{)V%t)<cca_BMyvTbP0Pe>t1gH18U8#RdG2>F8_7QzGY
zN<M_!n}PgU0CRkbZRCqj_{42U7`Ku5<2AD%U~$08&|?t}5n=)aP#fOVA(Pq5dq5<4
zA2#;=gtp|iK>W3mA+#4UkY6ORXe*usn8DAo70yp?kZHQl&`)<(T>K#B6@#mPfH1Gt
zyANrywY%FVb{@xfE0Bv;T$^PZFX@OizDlqUUQY)jCT_Fr=Hx7|@4~0PjlFG-ZdAWE
z2rJuAJdq26k~BfOFVu5HTz=^4O6i?Jc>Gee1sx?1m_!6?9ay)boj^CG;wt`{gi*cd
z{G`tALx-v`iBB0-3nH(!TrWtnTt;{6eC#Rzu5nnk={+8Z%}?e}VjHca7GgauV}-(}
zF|FAMe;TG4f4ztwf#ikG0zOK^1263_{NuOH=LR*fY%zmyF&UCt1m(`*8PKGqk1zGr
zC-;Vpt-vgJZlxsCI6I6p$mdR|keC<s;$55n1)hc0!9i1uP_GWlhHtG9q1Chre{<zx
zA&!m3oDtwX_(D)yVBYC(Kbgr21>bjAj0@k#UHVdb3$0_O_(LwA!pI=gA^a^M-RS1B
zva&Rweaz0B@FzUqLER7ktF<%#iRzA`xUIJR#o9D>vsF=xprS=uH!NUPphduq0E&YP
zSd1DR4N_$gx1?H(3nh?X0Ifza?3;kdW~~$@z=-G|%RuYMkZ}Zx&d>@D^mC{F3FW6r
zfbe+leeZJaIp=;tb5gM92&&1`1pP^L35$j;F;XDG!SH~0|LuMNS*T+-+X7G{h<(YX
zE>N7Bnwr)MIsLkQIDzKEC=>KpgzF$fV!ttE*<qJWT>>Ku?H3W4Z?trA&CRe+g2?#6
zB$xZZHHkVWXxRQY_V4sfS>n_ZF~upwy=16&W88*#8sP1g7iR`u?yjVY5{81=LiZ|b
zWk>~9Yl0TI0?JD5G&i@-u#V9Y=OYI=jp9%wu4@ku{YGhJewvln_F!M=yGc|#BI(99
z3EImK4+jEIY+I71-V)j08H_$Q4%|`HXz&r+PWLtd?Zul!5ewdZj|qTnaJBE_g4(G?
z(K%4H`^MFO*qiLIG=vO+Onn_EJzPJBlDg=8R)XUexAve?Od{6vU9?4Fmu|d2Q!=jK
zE+Xybk|2`oR=*vzl&|+wwZ<r-8(Xn?5GO-y-Z1xI0&2o^A(L%J&Yh8Obli2R|6<Hh
zXR-V$_3iY*%dD^%9CJo(mH2!SX9VDC&5l@yniZjNM|wYjBvm)=E@t!6eyINLOEspM
z4`?F;ONLU51AfFHsbS(RXo9jDfVYwjGum_|{E+9CNiRWQFEdccq-Jd`(Qe4Qy-s2?
zo=iMRYS4u6Xg(lY$bcV#m6k`m)c_&GuP43s0;Uf#n>l*)=pomGzjhY%qiYw+rP^)S
zN3NA|b*-W$AAZQ<T1Ar^3=P1uhLXYj?d7*m=H)3%dP#qN*a0nM-~)~|8}I=Nz;#2R
z4ZMris<{?p;oP#AFe3B_kynyugQgVom8iq|u5+Pk=ViFGf+JPDCO*o5Pbfy(i(@-x
zQ`*kB!il2rPD0%iVyQI)SBNeI07{>rzGJZYqdJ)-AF>upSDJU<{MKHjo(JCy#wG@b
z?>JPHfo3?j|KslIsc);MU=ehaV@W<w47~{2B!)%pJx_jzxg+2{!Tce~eDd%IAX0L|
z!g*_}0dnGu?#{v-!I2Yr6u^<Hd8w`79x4`Am^-8UcixGczUb06Btc>hgCo%jl+0j4
z8WajyqMrkkX{{RYS+%P0d>m8!N3I#_Sl3X;U>mihU}p5qoM0S$5?zMJ(jbK79^5TU
zI#QAW#OkOR^xJ|LN6@jqp0boQZbUGb(EGyn`{8<?ENN*&*N(6-0Y%FiXO9L^dXK2Q
zBZ@w&E$B&cpdKTbvp*y1%ke9vSml{14MoQ;|Fm_&tQA5kp}ZFB6V6Wn$OYSJQgz*r
z1uzGg-udGB^YuWT%CfWE`Z;!Xo(yNJ({w&b^OsXwS9GgJ`XDh2cO;T*AT||(+cDp(
zRSW~Sdyv&tk7MnvMk}DJA{gOTgE-FvnF`=-%N9d-K@aIJ?h!v&Z&2rAJlLHWDAHR8
z>MS9Had9STZlKEjY`c4J3myVSwVpwqM)YU=ia`>Z><EC?)T=EIq<ry%ktN1Rz$M<C
z#Py(q=Ge@rD6UiVIbvKWKLs=b%;qMy06|TGo8lG%bW)huB%otjfX|Kq<eY#ZeX{Zz
zUNte~-oerNdv0AQsGg2-BdiN}#npzfj__Y6It5lNlsAf70EQ>x@jBiyx%1>c8GMS4
zURZL%rjrzAb@^}iQqE#tD$-ABEoekUDzyN&<779Mpuxu0(E0mgqaqVgybeY6E{rkR
ziR91AvjBjNhFW`V1oUV#S>4K=AjmVYd`jVO9jMV2wz*C?n-W330iLn<(p-J?W`0eB
z_M7*=LS!R@Tj)RXpW`N-Nk126TrB7N#EG^FQg+|9rK0FHPE31lymWHv{gv;zUZH`o
z_m9+qIsr#b6RaDHYq?X|UEk@$xR2JyPYXy|@)vCrWomZUB8+C&k{mV64RUB!*AQ|w
zMDe5^r)cxjG|(*ZmG$G%nGr|@U0g87OG;ecK_L-ThRZ4l*;x^gw>js?E1iwtv+1i-
zcUcCTpl*l|QRp}Pi&@O{G;8NMiaDRq+hNk+i8D%YNi>mgGw3{IzSNLogAAqxBuhMZ
z`M5^ND0q2@2@F@GH5E;cEGnoLoGmk`I1?U+RJ}_o5e}Vtlfttl&HG~^YhrX3NOOWn
zeJ-3x*<U5mRG9mc4gt|+IY=Mnq~ct+UY`yxM`YC^rIzRmtk7y2zz+uEiB!@KfD@dH
zxc!!ongG%avGy0%(u-kov9CF++cpCM=@35#n6O-)9brzzP%>O&S90?6o(?Vvnh#B)
zz1s2Cv9Hh9?A<?8IcC-s=|`BV7>TKiN;f?o%m=Qar+AdBJoLf{peO!VbP;JB)beMd
zQ#y4#aC4N$mKbv)rMY5oQhn3Dt2#ED-3-^k01%|WdyfYYM=|J2p9z?QjZv@n%bAFf
z&Xz~?rGYSaQV%PBng1uhd0>3ines{?VlO)NlUIyuOcFLyRIgyW8+g&<bC*Ru3oCU5
z$LcVMHV=ui_l=Qzv6PBer;bW7ZC~f<?*8O@=k&D?WXp>6%Wm4)xBvU}|0_xU8Xfa#
WNTW`X=UgLy!pmc|d+v&@$NvQ@F<z_y

diff --git a/_images/870ff688994fc3d778678cdb65ee393783111647d8570539540a9dd6f964dddc.png b/_images/870ff688994fc3d778678cdb65ee393783111647d8570539540a9dd6f964dddc.png
deleted file mode 100644
index cfa62497366f34184d01f569b3e97d1e37a10855..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 26516
zcmaI930%!v`!>E4IXFo~M1uxpsGg{ZMk)%GF)BJLq9jS0hr@9+mx@Aa6G@{YV*^K{
zp@C*8ry?4p(megId)vF;^ZwrV^M5{{^C)ZY^<Ce!?sX5>ecd-dBZJMnGlga{7z|#$
zE!sO7jHwk2#*`z!@!)SFu6}%rKU7ZZ>^r^7{>W+PL#GZiwjVlu^0@u!<Hsz-&Ky4F
zc+CF98o70HimSwqo<4ojalO2}-Q)-4>`z(Ci%Lm2VUigqx9oRhF!&D9e_RO~caAX_
z)?9kpTDx7MJ3qQcS4<ll>>fB7`^?|RC)z)B;LpubJPTGFnfdwBU7w3<SKN%h)KqRf
zcK4V~gD_L)vg?g2N0$Hb*^}uieM5#RJ~JsHI<`@?;LFTs9UUbdZ#=#Xd8qbxI~}oB
z?`_Z;&2jI1W4&50Op*%=VN`6rzmboAVBFR=;>I67tA4YgUqh#9@zS3eVhQv?%>`4H
z=+~mNOxg^_{yEqg219JtSt0t<O3R45DE-E!3k792HqBDQM|6(#v=m<~wrc9DHkbb?
zqbV`NM)Sq?Sar36z(x0~x(=_tvT*H*dXwBoZcANziluwk9cX@gZLNHXN^5kKisO+R
zo4FVXkDNM>UfH%xF8k*@r5xkxU}e{ymUXSsj#ZDxF>9Lo7rRFv9~KOh;yXoFtGgTA
zyY`r`J@O{%D;AN`Tb;RiLAY(|lV!^cW6ZuP_^iSTv{oI=S|{T9vs@|F{K3&3s{J*V
z)1qXYzvoVjKb{yLNs=$6HK+}k;pJuAYQG<iG&`l|G1^_|B;r^St<wE&t9**XSe9#V
zlljDOwNQ1ebA#(eNxcQTB7<M@X{f3XwS<3tf5))T>8w!1GA&*i-?a@c61pKG!qV4I
z@AUXtzL}rj;e*|y{QeL2q9Lk1TmHOb8&&z*Drs-Z%{@tbr^WCv#N2B;j(#}t%r2|9
zWP`&;r|L@AH`NE-W&81VgSitUx%+ZFTqX79Rv&Oa(2?<4uDdBfKGoq(YmB?x_s7k_
z_2Yj`duUZ0=IeX3A<Ol_vG>bXU)lDj^c113M%*(k+EX3{dylo7mnRvgtsDLt*IZ?4
zA7pysiB$adYYUnSLrT9{rg(jLv58MjV6&*_>Eria@a)*JgFj9;$e&MrkXc}N$Kblq
zNXLD{pI^%*Odg#OzIHrAZ?r{P!|&2c<EqCWvG10zWgi9JiE&$zGhCUb`|M0-(`Jp~
z9eo3PV>j6i|NNHT9K1nSJCA?!k{x4v|1J)fF08eV6_z!97&vX#f@Fo>9h-&cW0eOz
zhQHlW@swjQ+QQxj_g_l$kjm-LOv}#~G+z?y(W94AI9gYovjAt1+teJQ5iC0X<ATG`
z=g7kQrRs|f)rYK>c>H*wbYkRsmxnaZ?+eRrrR_8wt14T*D?ab}pWJcVuPG}WEn~WT
zy>Y>&{(I2c245^oj%W6gg?1kv2JtG_h|O00@m#6o!b7)#Xa!5%CC>E@<(anCUu*AM
z2X&?77&hj3HlG(f=(}jmk=<Q>n=Z@_niy@>AaS?W7^xNNRUiHFl79Pg&A#MyFIR<O
z0B%`C+O}o$-d<Ho8t47kCe;+6KKApyQ0wb`c768S+imL~JES+bwdX^a=cQ%!=$pBB
zW_A}Ww$J<d?R}D{Gj3Bk?pM@*4sAUBwQQ*f-Y;sMgT?MWd-A0s&2~1s%o3Cf%pPdi
zkkfm;EAP++;RTCNJpNZG<Vo$3Yx%CN*9GTE8wAD$uU~Nn^5^SYb2##V1!O1)QYMeh
z)2LXNTbOb9brVU%*g&I3-GgJ{m8HKi%J%hrEEiYb@Tk@}cewI#f1R!6KYz{06uH0u
z{*m(J+KGduJ3e$@U28959pic=P)KP7N#S7squlHg*XoDTM{IH5yDw;rE;Uf?&O7??
zsgs%GTO|dL!5=QTRV-og^_7ls5f||q{CBX#IcJ`ldw*cHxwl$sc7NT%^{0<!4K@Xo
zryh7FRH%xnZ*Gm0Q*da?Yco#pEdLy7E+QR$lC>dTqs^k5we$X7d}85Z`z!~K&nwOS
z=(vleW6he?cg1h>3l`o`;L9%|H0H=16v_~I?pUf8>G5r=xxT@=fB$Ov{;bOY7xnsR
zcZm14;lB1rGq0h~m5%~^oxIe#^X56JSKZPJ5A)r^!z&cA%JgCK@Nj^9&N@F|tG0@}
zmDQej8Qc1auW=y;b(yx2B)yf@yo**#`uVmzZBI3A?%(wH?|Og#zG$cCke_tS7IE<_
zipSmwJrY)RIhlbYsDAt%D!~wct!!s<T|<zenR@tsoUr$3HxzX-))sTRy(+~m#3b82
zrJ)?R_43d5YI&8etllsj^U^Djgi~*oswF*#f9iQnj5JE)Yxk{74aCKtw1jO9o4<0e
z<h2t|k7c}7{vZiuqaP-zSE4@BAt@e)Yqz`fKW;z2I(_#`vQB>8_JNdGWpy@WPw$$t
zU6{RRyJ=;0ik+cH%f-#ufD=!@#kaNZofv)g{i$t+MZUk#BlEFrTnuCLNBIj(D{6#|
zpN$W<hx=|h==SY)Tl-~M)61v7*Q+d2bNjj8TTU!D>+?Jr--c}WLTqT$tCeZV<EP`f
zXRi~B@f!X%*b|v+*8EUHH_$hCyf4kx<NBGpWBb*<kXnF}NY3%-NH5e4SRmU}>OJn*
z=Y;E;GTzFkG5Q~<$Lt!|1C~07H1~Q^&`k<z^AZQ`y=y$m6L!Qkr5B0>Kx$zl4!?@{
zTA5`0`=Zsib`<h3iuNjRsI!4#F~}P0|BxB8HN`yF%b`?lAaB3*b$V_fE^eWS`*BrV
z>-3>7*U}tDD${nl_t#oCmu%=tc5G0#t4nq=9BntBxLR4N=JMmyLdBy-eV^$qA#zRf
z-a}ja?rNy#O3Rt&s4kE*TR1i{5Yks=Do-!16zqzv)$RTA_Wsr8-r4KFGLOEG-@fh2
z>f6Ilb4NeRlVQupjjsCCJmty1vay<4yZ7!*by{v}pWSECdfhqI;XrAOnq|$sL$>w(
zDUTXnwJEIqc>29i<c8B<=X`wToaWFFAb8MaX^Cp@8<!t1rpF~FCKhxG${#dq?$KRr
zSMilkblu>mbC#on-3r(lQY&O8$A8|@$j9~Ru*zg;hQB_t*|amse9WdJXXLv>cfMeu
zLgAA81p^urewSmb<2HwUEsrZS$#sTGEim-z310`<v}h^1m|5}x<}&lUU+r*H%tC&J
zKc4#x4mO8azBoIrJjL|UU`x1R(?7H11NFj}<<~!Pw2f}=3~;x|vtF9609BM-<J{=k
z?3_DtfMsQTOTD_Emg_FguZA_y6<&N)6*l&9X>49@=mJ?20o*Y^e}8}0qr<l=`{7jb
z-WzHN---2dOE$^GOKVJ+zWUq5d#tbdTI1*uC!=RL1IuskZhN)=#t<-r6p%F{b>5zq
zt4_~1u_uSZP1wFKsREj8-mW_aDb=1moqx?U@TDaWb~ju8`1E4O{{4&KsgUkXPM6kg
zIbys-$!0g{lE4e1Uh5v#*(5z~Pkq(|-I(N{zMlD?QQ4`l3UVjLx`ZM%V2GnMyuE&Q
zepoB6KB8T6ewJWCOL2Jft#AW>d#~PW3dd{i?ZcWE_dRZRyIo77Txo0`L|QX`+m*S{
z=Le3b=Pw9y+s5#TSF|b$CADdGx?IP}tI1k<_J)poUmJ71quswhah=F3mH+O?&!3hv
zZ1cdjTJGuTZ*%$iA2qny28yVyCr4}DCm(K$5Vd~a1I{0nu&EUZg{ij2OVmAFPJeqR
zMbCpR+)OT!!{EOc*0y!~)X%B#$#8hdyEd=q^XnvebJ(qPsD&C_ND1-8QitxL^LDiv
zhaI4w6x$p=JhB(%-_f3tIndy~xwYha^UVM`f0$7hCn1JW*xuN!olxOL#oc>z_3ggA
zx#9pD^|>V~lWvGj^z_cRYa0Xa?z&SD<NkerwuG{MgGbQ4f!^4Otl=fLyp=hgBPIiR
zSasgg3rprcsz0@LTa2m-?S740d&=TI7tIqcuceKYp_3Mn1J}$vH{0L%psQ5slP_0m
zoT?94=8p9T`1&3=Q!7<v?mf0p&FyrwOOqd&^0m1`+vB_?o)#~=mWRm%$pJgvQKL|Y
z7uwL3<=E${Wb*L%qQ;>T=cdG@RR1q;uN7hy@4m*)XE5)QEr9x;yXMH7qFM#x*sb((
zDjUAk9e?uqaylHme3*rWxDcu1=i8pN#+Z6uqoePJm@Zqfa;0VO+qEH^MO-DvVOjHe
z79TH5C=`K;VL1uj69eAmx!x0BVS0ibZw0{!r)KrMih?O2DF|{~CFY#9kymE1@d2kj
z#~;=nAp;tv>UwI)siLI{PHh!!k+t@4^}6q9j4gla+{H5GqqzM+YW+15ayf%dx@sq0
zUzTl#Hxfv%g_}R`0=_I1@CCvsF5U#a=XScQA$v#2bcT@(DN=)w>YF+N>w4d;addl=
zxoEZ37P6<T*I8x|z3}>aCx6Jtqk^OtsgIld7vi!&-$@y$e2$>2FxqMFoiwgk@%L5e
zB9G?9jlN`TXREY?(%rW4@GfI&LE=rd?;m;FRJMuFuELV*Nw{9m*pbsdQ?AjQIpp!f
zY8&Q3`i;IiRJGw=2f;ch!+I@i&1W!<Zp3vB))*gr+?JR$Q%yhRA$;zy6?b>R@8do%
zGHp;k&4^oOO7393{7vYCZY=0oSsa65q#fhYQ%n&`-v%L{rcX<37}HJ<d~`0v0vE2W
zKe;Jz@!Hg3?%x><8T(R=2@lo2id_!hZb#}4eE-<|=^UTj&n?ee5n)X`{m%^PJjl(w
z#=(NMHqk#9FnoH>!1FC2UyXbE?7(aGIVy0%c746*Q@Z?$W5NNKf6qINbUrG4EuXuD
z+*A@$xu;)mE?jr=j~kmQc4G!cyiuuuzTz(w_4ZJOUg@sR9ap+6Z!Ut%Z@p@N#;vkA
zisp=T^}o!wF@NyKi?bv&Z=w_=$X#FHwuFMYSK7rfo9w!q^7;A8ao0@j@8jz4dwTj<
z-)96V`6FGqqKl8;)3RE9B?}H>M2@6h6M`Qo5I3BMRBzLG#r;+;Mo?vxTAHN!jfXas
zi8c1QV;1E%b)XMN<ElPfcPvpc=;39w<l!Y3!Qor=bKz*D8Xu$R(%&7fQj02rA$X6W
zAeu!d1~*^V_#x=+_{62V=_`y`7R)bVl5&B#DGaG2<D*0ArRpPj$@}lynB^WVznPGn
zysB)s$3>c~YPzV$oW|j*M@?6(W9~Y5ZtBkpbAR3X*rB<}(0h27>d&%G?a3E#=Yp$J
zOw$}Zb#%__%wp_&343J$Jzy#kuk+U<{soKNMHrz$h=0UpLpds0m}tMmL@NAS!Xy<=
z)IWww-_Z18x@e%+*zkNeNrspXu882Xt{nHQ;kG2D)JCiD?K2hm8H^_|y`p(gT#G0`
z32J}l)L!+;^71yL4da8&&5v@&>_)#k=LV3Q`oTU|7+ZD*q9%P_1fi%yX8r>%Zk{}~
zf%;v{yAa>xIt!B!5jCOA)=O_p)zjcB`}&gF4{Dd*epSG-An@4mpA4Vf2`k|%D$A}v
z{ndzBjIRYgwSY{$7wVgt88*XadtdDgc!U0jUtd-#w&XhhK5<V{vc`f%TVkE^AJB2`
z*|X=*cnQ(Hsb-5_N6O3pT&O8h+w0@&R7i_av?*PAg;^y)$`rn4Fl1xCn}As9RVCX6
zW5ay`ds9sCJ5#f5-uo>fkde+ujlntr3s|4&aMkp*FtMCrGjT~$?@g?R21O9rZhbwA
zdAFpKkkJ|7aLb=L+sD>VKfGnzN{u8-lj_t1aR;8A8UMhy{BSAvRq=S8-)t)PChy}H
z^&WMgm=wZn{MErnwf)`gt#1&@(-{1>RX^8h&YS!GRq3lsE0Zkipg*A$d{pnZY7N;W
zMlIN}F}CN5{YvB1K;Iu3f5^;Bnn+C>f5sOvT_Hs^Mcw+U`PGfC_gb}FZC*t!SelUX
zV(Zx(s)NsFf8M<9rT56MAMf0?H2DkANCcMxFGKA5O#b)c08GR_=P5FLPOsR#EdY3l
zkHEb5492^=p$f7afwk<^-^R_@a%W@V17F_-uHJvmeSn*?@A1h)TGlmxoa4Q@|Nc|=
z*6nLQ3P{I#oT8V3KYPG)tmvXdoMmA!OO>`d!q408Q14Kfzot}m9=Z71+7zsIL)8?(
z_33<npCL2TLMSu6wQ?+~UzOp1Kq2qJZ(4RK<b+}?WxxL3l{0bz7yNd~hb1nb{&Z;a
zlP-YmpFds1<&VCx@32LLjM!#3E-*dLZ=cnzo6^`wem0!a1MLI4K|=Grhu_DN77ij;
zXB-}U9{k<cF0k0E_A>;gDFi*O>Fsc3M5J2y9pgW1qG$Wzp`FLTv&JAeP<!M}a>qLD
z<D9!16cE>%bPcp>OsGI(9c*=IKQ-1@T?j8s7_N>*z1K*m1K^=Nrq(&3pKBPJa(>5d
zoyR@5SrJdiaw$t9M0NEU>_yZD=M%>tl<O)0E?T(e$Tlb{lP;h#vASwshTGFb5yz%k
z;L7-u1}$0F9H=YI$2g_6O~MYV{Bgx1;26Jp1hWM%c_tkJQy!gxp<3VWtRMf(Qh;_{
z-*umC&xP5-He+?LV%0;B`P6<IDcU!vekqL=-FkUdak(KkgI6N{qAs>vrX*^?zw>Qu
zGhgs5&Vybs{jsR6eWY>1i!7po^Y{9N%E$NpY^zKv`LMP>g@It^B$;govMS&1#ELW*
z1O*_ZO>gL(Lho$#GRC@;n|WHmmV~M*5fM$h>W<?ILr@-z0le6ZHVNkXk|<n%WdFvL
zi=c>g_^%n}kOdI9^>-}V@cpr62iD^7oNKz`;A2MF91Ee^jMmDMnCY4d%fDd3vaxrK
z;M79ddlTNE8@%L7b>aGNx596Fj`Tacm?o&LowwK2ZoZ(|Nv$OS)aXUB)Rh??F;TiI
z_gcA(g8kL#dfughbx^f&P<O7L(d2e@*E^P0x<t>Iw=D0U^Rq1Df|OsiTXH|Qu@L&4
zhXtrCKhIi#RM$B^b>DCA?-T+8X})Tky8P!lMyNAB^$$MvWcj6E$KLtygPc0zm&adk
z23UN0{^xm->5LxzZE?{xy$l)Y+XA?WnPCGsctN+RjH7e$^#c03OeP)z^Q}2!4(nD5
z{JOvbDy$2vuSAPyX!8HMvJvdT<-Z15Z-&9S^v&hGzwWbtU=$A{)ZiEiIeb}d*45YF
zMW@8Hf(*8$AvURTC=|8?WN=<2Nh>vHxa}+aVM6K7G`O}BB2w)dt1;dk(tTUrb2&8i
zJX5>OJ)=XV-l^SVl6n?Rd4A>D?gK}0fqq}CylQ-`%e%FGGowdy8~3YAYNavLk3~MD
zP1$h-s9zSM@be;ZFP6a|^tP6UK#i=<>A94a$2EP)974`!s_orN&`;i9Gv+mQ+%FAA
zoU|V9;k6puwCtvj&W$O3>LiUUH}OnIjmwuS))dkyoN6g@86Rp*vUj97@RIStMdS<<
zm|6}Gob_$!9y@>0Sw|%mc#p1fKlm@qMy8(SHu%=J0x7rzZ~_Oz)}t%jP+jk!M|VEr
zK=tL%t#}=qgVrvCd#KMs$ErgXDu}Ce+<V#66UD|eaNJ=4!j{1W+WruLS<Al{L{oF#
z;vPnNv~FnB1C(*`f!zn?+EcG(!yCuGJ1YgRK}^(wh;56(hRz38P%4JX^(SAp;FVMR
z95euTSi!wE3|8$aYHL4;@Z}afzTz~mz9hF&QU2nN+WYsPj>&s<2Uy|d^|1Hh<6|Sz
z6bX)x`_Eq)*5%pdt_MUg9Py?kH_z`|<Z?%QgbFEmSZ$H#3jjt=@2OM!<<o5y%T<73
zg~8rdx(8R@hprN?j7&;Q1gt`Cut^trS}h2V4e9d_PJCSd4KB|q+_v4`6Nve?6L@zE
z7peHjHM`68-V<ZCss^c@58fLTcNdD9d%Avpbx99yLD($$tb0`>OHP+*6$9qk)%^6j
zbAyTs9Kvu(y)f8UDFAU><$w*fb;+ANkU555Phk(z`l4<RI*Yus`Ck8|*oTWd%r~K1
z2@$&$em^ggRx<Wy)1gvZRreURwDb<w=YrX=48;^+7Q_$)&;n6d{?jF>t~YCA%3s2;
zCh4a>zoNi5G0h$7tQpRaAMI9VgMEPPL*LoL>nnyS5KQY$_Xd7fc=t|>&>HKKKyq~`
zf?K&a+1J<CP-9FHu$#a@y`!P(#AvTW#g5JSIQ5)@*V!;g1xK;>Bz!DXg4}0<xT}X<
z?CKt{AVA=|3vpUOz^Drd7<KPRhf`@QM-j0@nb!1tAc2D9hO>;=K%=*YxHvg4gha9~
zBOvyIJimF(gk;x4tdxQkFn5%a?cQy0u1;VH6ip%2eDY#V%D!}QNRGLVwl-WVo9vHt
zJ)A!}8PgZL0e9s^EZ=q0zA>lrzW2z7#$Y@s-!epP0o|ZzfI;mZ9kb*fGfTX^;k3<h
z{PJdhyJsXkEHXg2^U1?ckG#E_fA7%Cri+_J?)E8&A~F^l@bjfxm)Nz&y}!c+L4s|4
zd`8A<QY!01W(mX?$G@nng$?HK&-%?>BqF0CXSH3X>eQT@m7$Gh1k)7*2YOJF=7~cJ
zvIN|i)AzLNcI3gjPqE)>EJL<a@<FJVUbGl4qD^)w;E|Y7*s#<-ge(n-eK|?qjzh1_
z$1{eX64C_J6W>nk^P*hAsaMPI>^2uc2$%s$sCxW1c*FN7dR3?KEJ1S*hj&jLTdjb8
z>mfu6Ct)c0;Jrif)7nTvl>0u1s1M6vKCA%hh~k<I2%WJx+|$$VVAHMg{pVL!ldKiP
zy^ikdz{%(#CXZFLty<;hdkZ^V3?pNkT{=TLI@F`n*4(r`mk<7lc^IJ^E`5an&7YMt
zn#q|xzK2~Wohl7y*Sy^m=)^T`?V!ffKvScELl#4Q>~6Pwc)a#hP@|W*XJ4fr98$Vb
z-s8QodfJje@RA&^ar3GEN98N?T$S6l+$Vqiv$EefJ_XU%?H4fvi`*MJl26!|CKbm_
zZ_!WB#VHhYxXSj#cIcbJ*M4(-gY)%A?UhN$EXnS>$2>TYl9*^ycATFdp}$oJA`LR8
zHAmxuERYT$R|ILV%m(a&I<Hq&C27Mp@9zK|wLSVx-^+V`+se9spU%!|x@>yF5BppI
zh~EOf9s%kmA?d^GoUWTM6>o~zW#ETcbWQ5hwnU1%EYI;OC-nA1r#g>fKhhjN!ui`V
zHVQi|eGqY|+eC8bhesi>XF`q#u@Bt<0M-N0m`Ax8pyR6^emwI*N#wq3?-wPns=uS>
zH6tyupJlRu)et7X1gOhlQi$T>!75*(1`%JIdVZj@CX|hC=<iF`{pW8!QIW>cFKaD<
z#RmHNMjmuq?$+0~r@2z}+;qN!t-r%gBzkT0`Mc+pqW_<2_MIKB{i;3%TgFztAKz+Z
zdV%aMHml0@ncRV=$$d|U>mS{`c~k4Yj`s2Y_U$M(Cf|+_-wM}Q*@rda4KB?=Cb_x5
z1o9ysrmYHqcJ_~zCPiL`^3>7JL&{~Yv6+Joxp3)~drfsl`a20fO+Q|n!P?iPkR8_m
zU9P3wp-dcImf(M1UZ{2*F^7xXjV;)1-T>#lnFVCWz819JckSsH+HFyC;>>U<6@Vju
ztx2~uJ5?;zjcZsrvat3mLe-yLjT*xPU83R3w)@)y9ibGUE+nxTDZ_wWhH9Aw2(`RM
zqSV~a)Z+-d5n9R;s!V=nJ)o=o8vQopwwaxLG0myr3vz0KkQoHP5coJ8SvN54ipS$H
z8Ga`|KCN`iqW^b|t(+LZU)?=8YHU8<^bT4jN;mypYsz)_9maz0B1Vy?$n&XNzdh<d
zOP6hnDr1g#jYkU({lqJ2kVPc793pT$C0A!GOJicFG~HvU$0WD$q1^}Fx4qbgHM)Td
z`7a2c*{ALC&?g(gGePZZ+aB}tH;yz6SR|!9^iQ`eEP&oy^zv`s0J!GKRUgvq$~!6J
zIwU339y>8=O*v5th=B6jRwYL-aX)~YdxzloXz%eMhy3}*+7w0FR;Sw5r{26NJ{zth
zq2J9u+_QagK!pTvT(f()pMVAh@A1*L&n@MfMGv$#i#WbfAahaadaZ7}@FcXm1z@P|
z=iGdGh{+_H?t5#9Kn)?SZI)8F7>ON%k`%l~2iw}m;ce}mh|fe?fk1D3YI>p|?0%vP
z(iu%S+5@enQx%03f-EdbU&mlW;o;ltG9bTl>-jFPfoBeFckdLC3-b6|{Ix3A5wooM
zOgZxL={&oCyyPpSz$Ws*nf;VD4m$XNd`pVJnh?JQ9L#ph2XZj)f{5EuLWP`S?kUA8
zBXp$MSjh>>CIN12M2w)ykKo-ltWZ?L%fqAHw9#L5^wV_P11sd8b!2>noY2)N2i`IW
zaAqO=h5$-q{LQ;~0X!ey^0>`~bT^>Px-sr@J*2kg(UfhF2ugy(QP|W0XN8ri4U^j1
z<SP-Jkn<K8q6K0Ae>g4w5f?W=kg<^PLfilrw$tT3G2#Lsq#3}lFERl0RI#UnlnSrG
z{fVPgP1SyD9k@M-g6o+-@)V1H?I5E2<uZ?=7V!VOOMMp;=CHpJ7%5WJJ4Q7wAzWVb
z5SN6^rUm|zjzzb$ujjRV;juf{7gU=$Ztt@{k_K4Vr7L@&DfxcMs}~i#j>zB_;yQJ*
z@+C;U1OuzD8k9ZaNst!ruwC1ae_ygz1ot?tZ$x;*nLt7=&(s{cK%RdyXbT}E`m}*Z
ztCIJV2S~ag52i(+abkSHR?R?87`ff<_p#%Ogp?8$;7zp38Zyc?Ctva=*~3AKCXlr6
zGsUkEj>df6we@p89KXMvq`?8pDuBA*?|F?*&Vg`7N}o~4M+^jqM$Z8qB=&m7*KoBj
zi`RNd!Fj)`yNJNEQ-R0$`LDp9ZR9K84e7jzO<N#;Fsoo_6?x;NP#`F2k`pgS`_jDC
z9@ba{Jnnh5a+camUdkZC7zGXc_L&u1t;TCP3*^6xF}ywQETXS>xA4K!{^|Y~)Iux{
zm)g2b{w0iGL(l#uir%8sJ>9l}9zsa`#*j_ipg7=K121eA1sp5Zs;?HWwY0WZKUR%z
z%l(}p$AY91E<OIgL%$0=ScQ|9kf7$>x$l_{9j><#72VqNq!6G-N=r5?B>FRAd7Sf~
z+^&-GTFte+MM~}>p|dRNtUYA77@@l?gczFZ{f<pYfcByy5zocA6&|%WoY_C^AP?{7
z7mZFuYPhA3fYfXZVJLFBi?qZ<JzUmmG?E4wOm|thAM&Z%k#Yyb!;1ynB*hHFBw2rh
z0fNcgmTUnWVo?PricX(E9m>F@m}F+OYw6eaiVfsF$edR(o&+sij(Eof-c>YX!7ELC
zKSs@+QiRy-2vy8c4GH>Mon}tp830EX>II4a?t2UqsNX>Zla9+>fRqfr5o!$(?17cm
zY~N!M{_r?;fYn>VaU%C%V+eN(;L=l@wk2J|Yl4I`AZpG?n641C^Zu~x9}PS_45xYT
ztKMFi3)T-S8rIvEBno~^kv}WmwJ;f*fj~Li4;-d%lJSQ(1KMiSA!tilLDn6S@I3?e
zp7PS3I<aDAy=}JZFh#;8_7u&CwV#`?r%;Lkkd~~)o?<O<G$s!#?#_Eq&kq<4I05U7
zo=9On{-tzAm!dAyqr~Xvh^Wh=_&MTNAfNYO6yIS6vgiIBiMbE6kT)!E0&~l3Vo$ey
zlM%PiYW9&=ou(lP&Jfr$KC4+z3XiJ#NkiQ1q4P@<xHMm}XP+O8*_SV4OU*v40;?fV
zz{2ETY*Oe(_LuTOm-30=C-gvX+e#7ooG<%x4p^<26bn0;``$l<=3~7Tq%fME>%f_U
zmNb|1sCpXO!5K27AxZWsglI^CJ#?GiajrOf$b^RYIYW1DovkD0&&c;@_JpMZLa0YH
zbzWo!<LY1R)g4=Lmr3-Z8pNMXZAoczKV=wYR_xX48-wK%8bl-%3K%wqa51*){yN2!
z2bXpmy{-Z(OW9Ud%sX=(FT-l{wsQzf7&3<~OuntW`^e)+JLQ63y?WJ_2BSrAdV-(=
zZ`%<7Uc3E{eG6@4_P-Pz{|}Us*;pUQH4E^GebNfNRc`_5ET8-SokXSm&~aEL#LiF4
zELmb{qyZ34KPc+5++DBpkc+u&S^ByBE=VNMh~0IzX?x6Zzs``NUGLN;0E|WMlNF<E
z9eZ!S?cS-?2{j!EP$YY}2Y89NxCQoz5XLFnr!j)qQgivB)clISXA2AIg$cO*&L~>M
ze$;8l+1TkhoCnW?Kr+~y_Uastc>6Z?HhJJ4l>NmS3ZNlv_RuH|P2~)QW5|_r`Z+kq
zA_?~FJ<A}FF}}ZUBMGMn`)7XorGzc1=~pp<3R^}BT1hxL!tQaAhS)+^P)Cp5!rq4p
zU5Jk^3op~#7AJRBh@lwzOEQGo-`y<ZX3!ZB#J$k6?$sVWRrQfEmw}gtakhoZ>AP|b
z%Cq*z7q@=$rsamQzL&r7{dadSuW0vy00r-EaAus+j?c61dgl6jV}^Tp=}T*nML<C$
zdEJ#>@W9f0<a7`$dUt=5VRKERy6}LSMsBfn(;BR#BAheh-c<dj`e){WR<ezzo*$n$
z=Pq1noYJ|V<r?0r@7G)k1pwU(t#fk=R=!u4_wyYJ&<Mh>ji)#5*p63p`UMH@voz7p
zdnQ^X@?PlFhEsIm*0c6<_ZtOS@tb%lm26>BLYlIyV_DIUrLo>KJ7c?*&5+kJ^^pgq
z*N2^KUZoGpL)}$vq_e!U(-&s;?X|;A9iD4LeD_HtrsR0^=Um&|dn8k8ZI2!vBme99
zyDjQ$UOws&sTO(Yc{(Y1=wZo;OLk3lFCT{dYkEe$%<6&6Pvr8p{d#z2)Wf<Tvd;=d
zt~m$bRYbeI29KTY9IXAIn!P&Z9=3c?o+TkbHdCsy_AleH&(OM2_{ouWn6<7XSXBXO
zEnc4t>0kOmHwR}Qq4Z0x6lr11<81M{XpbE~toKVagW|yvH9Er<&7&)5h;0CZ;w3Sp
z%o(zwA+}-<+K80M7B%+lGj)u(#VXmKlaa(KD%gf1t_*A6$$69o9u>OY;+Fvsn1#>n
zW~<S-D6IC@-)wQrhop+l=gg;z=Smr}S8IV2GkV7vIzmHRIYZJI3gZk-qoK|0p`Exr
zMmsq}QZ%%QGX%S4G?z1^gCQNxvv$(6DmX)jX^8Wzo%E~-_Rtn?yva?r7ST1qn+VKj
z@60>!a+ycjcle?*O~Khg#kmy>nRT4c>Em-u&U|Yy-&yv~NOWQcXR^*%S|R8ZcCf64
zvm`;xx1DVcgHDNKh@;JA*3!`Aw{VUGy|WB&#7fMb#W|m7D36vP_P&2Mz`o0~XV=8f
zeC(e;(H&Kh`XyOB<X(lYVNYiSWu|Gse!~}6u~?z)zqXdQ3ez!nu%}?2!4$k~rN`q0
zEqau#QWf{D#fp;I!l^Ze{j*|AAa5J2A+v!!h1dou!HWME?mkOxuI7HWVmsFXV>JRh
zGiTniZN6ZXZXlKxnLJk32x0vrq|t9(WxulGHoa+?ujQVtA^>?EVj2q~YXIt!LpD+{
z7c{n6YC@VeoW;G&#I5bi1W@3Dpsoqj$U}WjV1))8dii%gQdk*PBdZQPRlF>Bz{K-O
zV&aM}$0@h`qId*Wx{GKw`yMM>C)GQXFjINT%7XlND5xF0gO`N*RlCJf3<bVOQZ8_k
zO616IoyAwz;HxkFj+MDc&8rY%JrNN6<KcFYX;%H*!jOVI`CnJ#V;(~66cpzA+WP+q
z1OR?x=gQaSyD;v;8@l~GW_l=Y@Togi2XBy5OJO!ez2FO)WUgRE!-#{qq`9~7v8A*q
zCCv3av?@#}8PN2Xvp29}A29Y@!B3D3#s+Q-;W6sr9N2*ViUbOX(!o_AW*RZ{(&6_P
z0IPgdFnvBFRG2e$NZ3ppett@qIW!l{cl+I^f^(pwM4;dbb!Q7)sQFnT%`0sAJvRzL
zdc`qgia~DIH`!q?OWT-Wh<pcmlOQA^MFGYTuIKi*ax=;l^AwM+@0)2uNcAoQ6)6C<
z_ewr2)0;cdH8GY;M2WZy++vUN6q$26!Wcu+@mlW_2kv;p0Ei$GvD?Rf(8%q6Xfj$Z
z;BdkY%oX#-jBc2b(&&JyDn^*{IfFMR4)IVHi5W_>NW^O$s%YOd103pk@>xGNX7km7
z#7)rBxeHUoobj<T`q<KVt$!;<cBzBX)m{VdtywU4P{#vIt)b`{K1=xD`&b-`oLVHS
zz&kUkLCX$U8_{U;mfwk<i$p^Rh3^!FdX(^JO86erR7l@Cr6o9u=e%(jlL#{TX@J&Q
z1Rb!QLx`nIoF)qV1LU5{G$2FkQ8Ghw0TxqJBgKV~;#`vvzG(t<tQoOB(WUc}(sG0-
zw`>Mv4C(zY;)e7nNT8wsi#rlI^(YjY|K??SVYd{f@5`{#BVLf#;7id0@QEyt-*|FW
zw)KBv(<Srg&qu;ftQDfGHnPd<vrXjB)~UCyNAWzVjvBk6vq|*ljSC|FlyxNHy$%tE
zi1Y;@N%`kVh9caMh`G-sHOKsp8F^&Pv_XUwK&*7)-(^-G44@F3$W-e9=u+l$=qf*X
z2R=Lhz&6H2@#NpdHUc3CrYv?j5LTixd33oq2K>oA{fnbAqYal!|4*DTgij#NZF(l+
zzye_ALWFA)+C~TCHWxF}!C<fRQyR27Q=ffLbQq!qAibMU%xlW|Atr`QwsKFocg8}<
zNFV3j2jS|rz1%5G>3n)g%jZ5^-9h#q5|oMN=Lb<Bh(wgWvrK_kX3rTtpQm_Lp^Vu!
zL@Ri3ymmF=ww-mENjc*n4Ftpcm%sCpi}mTl_;ejUy*^_&qSV(H$e0GD_qD+`wKdD7
z@Dh3Hi}znJ_QCgxSpQ7&IepqB!|Qw<&>fpmWrs}4rhvC_J^TjiL$|OKe{8o9iik-*
zS9juB=K>H_clCV+y_R?=ET{zVMD*<G&#m(m#boh@N|^C#hS%#>qW-fud*p{BgO<<d
z_2V3{Xu&4X)k6q@ABy5<!Ukwwh3t(ZvUqo?Z)L?p<Xv3)Dvd3XU<u-v(9I*<=|kiA
z8IWPuq=U@YVyWws0lRd}GIHu5Qn<Hef#~o2y7a0(Kr9e#3!3r+;s6_$H8U#oAkcq!
z%kYjz`|K2t*K#=eX51*vI04w2V>%!KH_@L|6acohmC|pF3FwPs7MN62f%n~wgIada
zIv)lQUNpi4dL69d_(jo0#^)658Rya8cBJu1fmT$qzCAh9D{rWdh~_&saYd|D;N2qe
zOwuQc=h&_^W`AXxm(oGk&zIapPlJ0}4gi&hZ<<jsb}XeMO!LXS_hO!H^DE*FV`Ews
z7_Y8H@!Yy{V6Kd{h0v{C*(Eo4G{@PtR?7{hdm1|k;Q5BYL4X~G3f+oj@)$8V23iC+
z138fp%H1g-#pLmpJJb!7q=qqNzg)E+Og!Q8fw@~YDDb}8yjLp)r$d+Rv+V+(iX_?i
z%&!l2B-guJEctmYvN@-<Rq*I~pV5r1Q;q?BaxET~jg{CO97yR0zBtA$(*p{2FT2d<
z$gV#z$6kJ1F?g)={Y{}zlQVi^L3xTY8nPMLFXOMB5CY0|a1_aeK&^8;gudH)OaQ!m
zQ+tweY)35o@Qd2o%fw5vNAhbddrwf{@$JI2BJ5$PGNkX$HW1*Ioe4kboc`LX36Pv&
z+=W+>&?_L21?C3`Zr0J!xlzdVO54-2PVl2gOQhwGWwsL{Wv4s%o?J>h@Gf?q(QlaO
zVL=Dq{@jgk^{lws(rzFsX!^*f@piz4vAslY#;x;FJfCIT9TQTJGRkoIe90KJ*!fSQ
zr;91I4J(#{W993cD*U0vQPt-xw&ON}KwL|rG6f26P$uWW^mw|?n=5Oifr_F=VbB`}
z=Cg;U&(7VZ+ZO-l56#i$8;i=5T6K4Ps4ZX3Uyi7wqatlrL+jL|HfQvh6}Sr8+-K|f
zya!*pfU0f@(@`G(cH*EK5sINv$3x%$%h2C}4F}VJ=5e4XL_3+ka<93%d*fSAF|JU3
zOcddF?77YU>6x4i5fNo2!iO3sYCc#5$XWo%QW2ibtVmuN-v`)0T>NkQTD4TQ<0D`9
z?(em`{&B^Jyvz%Bq6lOftk!TVN<EV_O3YLI)SEGGbe7OE!12|Oy^6!6lrD?=oZ8j+
z{}adXZdrqG`{UaIq-2nJo<m9DzR#5brNlW}2yf&2GH#irwFM6<udaQa_i4MbFaL)V
z0_WD&f+MlBRBlFukOJ?%Ysuy}&LFFv2be+_rq&`ESzF4$yMWNpjMQ>4EEOq+n^k2|
zJVwE|Rm)*J>#W9RW)d&@NJ;b}%1x&{tXn~~V??5a^Cv+?MILW{GkTDx=+jXn_2*7F
zNlwK8R0Z68<9F`aGyl@1OX(moCL|=tfRg4n?>$qsMpXZthO}5Dgqts@RurnvT00Ls
zHP8ybvoc=d;>wL4y$cmAv>zNTXTIc$Sfaqo{1;17nD^dixX8`c6-tl@ivh^`Y@i}0
zety9Nr*{xv`#Z?`HAp-=s!M7rARG{aSPHCB;7v$NF1^uDnHd6c31(~p)rds^Y4GTM
zOKj=pgt*{Wg@FtmggHl-VB3?SUlv2yiMiYjx<&y~4(6U8De=%6>+MD9Ns@yoD3>7X
z$f^Dpqj;=Vwi_q#F8q%e64BR{QoWI0j`N-vS6MWZS%Z%~fywhn<e;csrPWEm53&ym
zC$jshSPO!Y^alf9sUSpDl->uWPJ6t$Zv7d>6S@IXiRWl;I*faq@nqBeBNMhKVH%OQ
z7j5c|Tytexve}c>#*Sb93fVQClzab$`d8I*-%4i`UB=^%coz*Xu|bW+>wY<g6hg})
zHN4;Na9h%G0Z~OzT)2dxg8-t44}X8uLMU_=#J^G<Jk6*z)&``N3;M7$r??AKWWaC{
zo4{!-#d=b$gew-T+Bb))PAK(eJLZ*seJ!upVhbTnuUe@;H$sTaUJdV3FT^{cip3vA
zC9CQl+AYS$nAaoc$ii$PVV6P{aS`Yi>Ww#@gN?5yc?TVeMPv{@Q?ry<mZ<jeBZ~Hl
z6)RXZ6rTOH(xQ%2T7asSDPl>xARrz^!}D!GN%KR-7ln6pTC*0c0;_^#m*SdwgXsh-
z`NYHiU4=W;vb9Rf4m2v_DuCmq{NeaKIC`GQO|OMl@|03QCDW%C0d!*?!z;xDOdN{n
zGgUW4-iBO5ZS82RgDSkDRv*>}r*Q@9FQeOs7(KuOkGkP~mSd-K=;VYPeL^(G*BwL>
zm8iW`C1mXQS?B+<yJVvJ4tp1+nRSN2^a3Ve<_O)_pxaowHB6E=5R6$*%h}vzx9}!S
z@Xbykg1o9<)oK*rI|y?*A4QIbiD$*)RN?1Q_%Uz#jx$t%bqK^9m|HX*L?wNaZg8v|
zY7a-|gDx<K?6j{h@$L;!6-8$sje<`V(Ya!Rc+Nlfw@w)Xp0u5Gyc2F4%Ta6z-DG3t
zjS#SqW`JvW&|vx-sn#l=9>^gt-Xg_=-h$}?^}I=mL{T=DY%2~Gq1<%vT%cKs`cE=k
zX=xC^(5-OxWFUZ4VM<kTN~yX3{=JyUDsPL87*B8j0)qJ1N_=b!FFZB#u{L9eiLrsg
zNK_B``cjV30>!HeHWdj}KG@eOhg4quwi#ux@0t#<JV995`O8j5?nLU+sPlkE2lX4y
z>{nFe5aXuu(QB*KDnk6^#7=%AU#y)8#?u3jH>^-zvzumu!pj%Oc5soF0TC8Q1zbkc
zhV5~15iYZnjbHG}0GFAJ^n5HXy=V5rxohb;$!N!k-@0&M?w~51)*~u2Y*6+Wv{gP^
zkt*{7UUF3g;BL%5qxUI*VvWiT39<;8Sy2Mn1iao>g0A`b6^^~TMOL2j^bW`&w%Qu_
z2;u17!7pnA5~HsbFx+sGj-05b#Hu0XPYezUL|p(5HzS`MKz{*-a!l!dE^#0tGCGiA
zbv$`@#fF42D)K=pb~y_8a$T^4me8ib@B#Cv78Ob<cFmOC$eZYgADFujV781@AG}#;
zkNM|#c>R5SWgpeArb;z($HQecS*jGzB!<R56nI^2QTVe7M;wv5u`5i|0XKT*E`(G_
z+#Ib;+|&0NBo<<#_N=ZTZ*djXt*!$X>RJcBhQo+>NMGxw_+oe0BM$_r;D-BwM1WdJ
z(EWr8mpE>F0FF#S=LuMldV@i8R1%-i)~31{`NHY`kuZP5Gqbl&$%mTM-;;f=4s~9(
zX6m5iol^h(xgb!DZ@6wbTQIsGqp0cYQQ3U(zY&Z?pZAPf1l#W<s-N9b<I{&f8u8RE
zc2kNvsruv--UW-SwU>q8?QKUr=ZPPxAP^mb-@Vrx2u9M2!YNmwvW>hlYNa||jh;dk
z@>217Uv@XBcTM;PF{mmBL+VkxVTpt6MhdrjaQnYcSM9qehNx&?tDQ2~9759fu7jf$
zD5{~39eYsHoYuKE5`=Sqwy&4nI+dOy5dO;re4x>yDd(&Qt`tR0%Ytfq+r}=J;%wA&
zhThs2P}u@Mf{8$1q>q(}TR{ikTqF?^2r`Lu()2E5I>`PejaU)ywNg4~n*KS6tih88
zdJQ+c#`ZSh3ImO?pH!P==2W@Ifm8+%nI-bsKX;M?NEu&>`qWzk5i8^oF9CEgs<bYE
zPbeXN6P8r{l<-an<d!r#<wMXYbrmDBvEX$FQLsiVoPAj?4#~OW!w%q87C^XTx)w=@
zTcF~D{vy?33`&vm-+k-<esr8ACl*jqK^|SCqFgXxx(#BSE<PzrgC|Z*w>y0JFyuu&
z2X%?oYmZ5goP<g4Z%)d=J{^R1Kn+CX)S2)Z-X%8J54}NIJ|3!ze6zS-7!~Q`f+u(L
zfA*62%?clq;X9)zqX7eZq;Iy3URcE--@!1+bS%5_adfd2E8M?6XA9s8rbms`jVu_B
zI$U-tX^3@X9EL%Wk;eq0(0sG8od6@kN>zMT({&MjCJFvNuZ&>dxX~0JGd2>${Yo#}
z{08*feM%EIEDJBrgBS^^2_Qu$q&bwabt9r<%_n!Ajh?~(vKeatAUBt&N+=&(A-##~
z8)CYMwa+AP;a)_<A)1E}Bs+XunU*!zI@&?E9-x#1RX{@dM85ym=QJLBZ|lbOG^b6O
zN(EJh5S8nAX60V0k)t{yGW+GAaG8}(j{x-HBacNO&7i6BdPRaPn6exhA%+r*Y=Rt=
zFqyNQFWmZ3Q9RFEYo(T|K^fIo;^>J`N9=LpGdu=^rFuBSlME(99lq~3C<JXQ7~VF=
zmtYa<K)9%Cv>e42Cicz%y;_eyHUlli9|<^;o87y23m|2U?cXwQWYdWjcfwY-)7joq
z7}<o4RE9}$@~TilVEVic2lNx_U;^ri8a1c}vwSs8yN)oUI;h;MLO++sGR!&A<~_7W
zII76D5kAOS`{=UaYVL&VOddtN8RbodG(S#NVrsF`Kt>gTBXBeWz!Xau?xE`f-{x*k
z7D|6W;LN%B;hWD*JR(#U$B(2j(~G4no*V+MV@dTSz~6j*;ePvGSz}!Q_+kk^KPt)$
zDBlS@^-Aus#dm?ZQpFwU$*42h@zsGTNynG2(W0B<tmkb|<^pLu0r#U~1SM1*C;B>0
zYWl;xDMlQa>kr))D%@(s%}IdsiXkmMnE+?-z8Al?*f4sX0tI*c{HUo5=q=UIz~dyu
zsc^Yu?6l?!>|u*P=7NbUI|=DM3$`<u1^Zh&QOi^H^+r#AvCYyA7D7H_OO1Q7w+=g=
z?I4%?gJ>K4A+Y7GHwYU2gAF@XEH@*coOe|$sEVD>;|X2d=XSmh@N1jrbAZ;#FJ3av
z!_f$}#XXvh?fzb|GC>W{h>{$1(|Zz9sxQ;lreY=%6oPoaOHaKDq(oC4M-IM?Pko}X
z(a31=Ar?glgf*5Y3#!HDJnIPubwb3!8G2nBq1iz17I0whOqkxHY&Y*$tv2AD?jRyF
z;gBGm4YkIG08Uwhn-ck+%dz;5#tUFdjLiEQEqim$VEYOB((Gh;e>bMWQzTp%%{=b?
zp+zWXt;lSd|KJkETSfjAkGtAph{(dUad<Bk1hT5<$ne6f?yU!vS^=bXYE^JOWYM3h
zkUk2Vj|yRaugdl%HnCvsR_7BXnONkOLp`5kg>UHuEZlJBI5F~6MCTL%)%Mwl3qFn|
z4n_8<RO~ecV)^E((n<tvwN~N8Og5PQdOEznQk+qrwRcg78L8G!$bD#zvAn<eHc6RK
zs6^iUyFr+e#6A{(ME+F|m*J`b99V9B=$c<w;r-kS<~EKerKqOG`wAED*U+KgY(h`5
z;Tpzyi3BZwEQ$CSTmqMwJj>zW5s`(*$mOiiEe_VL=`g24>@eqQ`Cq{2pgDhi&TOjE
zmKmJe*@XFKa-K^mLj7pYbGxymza}4rEQ~&z@F1kwJ+Fc}l`|B<gP~sq5_t1(D2e!s
zGhxI646z9Y7~;pbCWoLT{3oCF4bSqOoKP7<lh68wXZ^+*x`mXw4x4zuE2cJ8Nk*Kr
zGvCA$v@UXN!4|Ms{3myC{R|tUKPEpXm7v8nIUf?o(>Oa5>UCB~VDd|@co9F&=OXyD
zc&|=wt}9-|Z}LU(sH^|;t+^FqrJQ|#1x5;}NbG%Yn5tAXkG<~<{LIby8RcX}Y(|SB
zWAD5Qu?w6D22limip>&$`M})MIYavvYw-%PQ>VN>NadFSv|^?37!^83=XlsD5bi$?
zOjSC{;5@2rlhL_VoR=~(m*THDi0X5ad!h+av_)-SD9R(c>&6h>D;&)&wpezinx<#g
zXwPfHLmxv2P`uwg+FM#kv`vabW6@XOyhsR#O~a%4P+vTOS5#dUWZ#3HuJB5NSrysY
z{U%yL%V4os0;#zvBF|L4`Utc#)ue6=(OSegM&=FuCTQZHU~%MwMcV6>v)&FQlXUoB
zZLgsrhD3shYQtPt+k12sZdZZK*Oe7i_Qhg~Wn-;M-`9Xwy%06-tO_{LCaYXW|2va*
zsZ{g=YYrF8@jK1&ia?#V7lH`((Rd}fSDBiQP_QemK5Gdz5Fj{;=po>FeHVHBu+gl)
zt#T!JE0nMZn&2X%>QnhEkMVBY$g0Ct5yJf32A<~3;mf5+0uhU>&FKS?w&4kiP_Te{
zxs)~WI@(kif{@{3jly!up$cfYi|}HjLRU&T%+91QfaDklQaFo52t2}QEE{x~`6pMu
z<J<}#vlV{Keku;8dKZ_@%<7xgr7>u-^xQc)Y&AzlT1>PwBA7YE$kq!>?wf@gITo#p
z*T+M~kI6H{ky=d<1txg{3=jq4I6MKaP!I(;JOQX>v4kBQo&bZ00vw(Ih9nbqaCibx
z#2A`<7>ELsJOKuX0umga00TsUAP!G}n+c)-hbI6XDwc4O!xLbDC=kTq32;+DI>{4Y
zARv|C@B|nXkaBnem_jOH$2-ndk^xbG!xO-ebi$6X$)RZ&V)F!eeLxi0v2$`r3PZ5L
zM25qVM8b}_lS4XZg*ZF`4B=TEo&e}j7-I7TFob7ucmfO%1%fy{0Uk{d1txg{3=jq4
zI6MKaP!I(;JON%G5CtZA0*rV1MsZBeDz>cA3gYktxWzye;P3=^eLxf_Z{d7S21Ef4
zPXI&W3FTIkLm&!pcmf!bOt{G52{1qu2;%SrxS1ddO!5R6APPuucmfPfBMA;qfI&oo
zNuB_bC<zxiJOKuX0=gWY0M~O61txg{3=jq4I6MIc5d|iB0$?vzO!5R6APNL=cmiCS
zAPP+K1Q;L+#Bq2646zMoh59%;pHVxnf>>rOJcDs`p;iz)`d`*n^W_Yi3O0X&mm##-
z$TEeqFU;<#N|SCE;|at95g^N2Gg^X~x*T2&qexaO$d{$eFpp3DJXY44ii3Sd=TyAn
zSU*Nf2y<@%XKu0FshO)eMja{UgiA{&mnU@AWKtpf#7iVx;-4Hc!4OAn`o!Z~zp9ln
ztIY3OvY$D#Gfz&<{8g(A+u`%i+zMI^ON1FS4UM)=K1ycxS(8^B6Q|idr(!3^3^Duz
zn3qv%`ODTAd0@WD=Qc?uT;h;c7%~UXn#^FcO1XWSmL*)0;jC813qu?W<@3&HwU!-$
z+`u0<Bb>bHKJcA7kQBlvMImGO<Q(sI;Df+ZL#VGAWyy#oOi2o=bro<+UN*UHw{Pp*
zn4XY^!ow%Su_MT<QwSHhL}fKKOaNha)h8<oc7DCMzF~3J#?IabxT=I}Qkj7TF+hwm
zX!o{*_eX&mIegSLO@TPt>z!<_KQad$0LXRa;0h&d$MdW2?zKX8jGoRE`af+@<s%K$
z@lmG&KMLKc9-i8+N$T0CjU%bJ5SfEYa{v}L{-P_98)f)puIy6-&B*87Wxci)J6#{b
z52oVr>yK&?P{yH5#nx;BwbMEvQnEm;7w4v@_2m$bc6)2&Uh`Chc~lp`&TcxqY`ucF
z$-nU{`q^sXjndgH)>4-U-EW=$bJGlBDj&exlzAGXIF5gZ<;CHf1SFv`)#B5m8|kFl
z_9nU`DbDz2G&i<q2z3qlR8K&Sq6mUeKtaa3_T>8(=*@GtukzUKNvV1lCy9z{z!oeQ
z9cHPIf(`;f$SsaS2R6O&BN@ot{gS6pIjQcMnFL@{8?=of7mX)J)M@0wq%fSGTQQT(
zt>k6A+iJ8@j3ZrJ)@r3_as*y%Y-;9|NdfH<OHfkad`?F6tO;5Nu$a2sK0V?IN|V<~
zMgv3t^DW7Q&$NXUv@#;(wPZs$voo`1*tkyWlHY7xIk6Z+`!^c`pjjRcBY9cEXO8#C
z_~CliB$#ux5H%-!=6H{cd&*}`Bsltqk;z{n#Icl&gaBrhCTB06KmE;yck)pc7nql&
zI4{M_nVPw3a`xIe6>S_Rkx_J+xtEVKh32N;Y}zNMP>f*i1*Gyz3o;d^W|~Y+0XBXL
zvYo$PK6KXEI>E`IC*ld7pf#|Eww|r?o?QErWeKb=?Zxv#`3{Rt8bBY9<?T!k(TmZt
ztCnX{TZ%QlTAlDVR>PbwCTXIhGs)*%ieg@M5-_1^n*Med1$~s_S4xF2_?WGHZJaRq
z-0e43ovS0+W(7!$p`BG)9Kso+=uXD^3npQbl@nRi>4!QY2(Lfw3r}r|!8C@z{Yv+L
zS_gjfFKwOhK#lGKkineMnho@0Mn$56`@#LwGEp*pZ#dTa?bZ3_!|x)A=4_--^bFkK
z^CIU=JiJQX0kv47c4%5O4?{+Zx3+h+-lDOmPQY^&>>IME<O}8E8$-e~@l@(l#_o9n
zEaFvgYwkVOiSwU_<X4q?A0m9nZQ#4GsK*bjWKe$2i(D|NfrpAA*YR1ed(HR7O#EZ>
zCdPPgni2M9|4-C1msu*Bpwmh2(P=HeCSiZ_?bS<tcdY|r)I!XDj0#?!d`>c2vM6t&
zzA#1q)B96@3vPWg)r>;}2)adN{GW5hcwas1T{@G!fSzB|3H6RfR#FuKx`|r4f{Bg)
zQQuJf@n20xQ?#jgjfg?i1Px7v)Mjgp{)k#@fAB`(idkv7<8GuDkOmN>9yr^TYbB|X
z-9D7(-PpWx@&888XQ~<Oe+=Xz4iGoB&0|rbP%16|bIaj>i5LXHZY@ez_=)R<(y5Ih
zyZ6cgX`^Bt>asz2(L$9|R$u_FJTDTk`j66;OIX$HS5X4}pAOgamjcubjaKdeRO>!j
z;ETo)3&1n-M^igyndPPP;I^qyJu#)xSSa58*s)cVOB*Z?@!I{h{1sJYHldCz5QV@G
z%i<!=YmENOr*P<>zt*9CwwV&Mb`NWpq4i>#3k=&VHIp`3Q01snpWbbjn*RQ))T9#K
z0=v<Huz*-H)Fre7wO{EV>mx#Yg|MP9#@MAlEB-L+6%Kv2DD7PyyPW!K<)eI!X!+$>
z#>S9cXQ(cm8a*}>E#k)J<txLb4THOz3k$)(LaU_2PHYtQ@hsS5d|*C5KQVX6l2E#f
zEa;ziR*KSg0;Z#_!vv<3aYQ}?fyA07>LGWd@J3)w@66XR#tX5cL!~Qc_h<cMTNKke
z-)8xb@sX}V)JR*Pnl0UGei0ccRBxXb;XZW&ZN$1Ob{SInb7C3^G?kQ!paOb|0nc`O
z#D@I*<L-vx8Ljgn#t$-DUrZ=kmCmcsuc1B~RIy5}J&Esx31uMy--uy_s=-zVWO@YM
z1d5*gzloKz6z3~uQ(GFeduv{4KBP}wyKvb^9%lEezIzihJ@(kw80m!h7uS@mqsocv
z=JL6tr}{b#(Q$zKCN$x#LI7$NqS)=94K9o2KD26xTcE6-5~b@vnWW^ws<M`EWudL2
z%)6|!q^OyS-!_J9^usG%R!h5wzBvlEUt_Ap4SUNNccM?}V@KmlJ{(77cI5<;b*zlt
z??|{KZF`?o2bKF#9jU6}RfAgf38J?FKUO<~4CiAc5qne*3?CjDeXqFQ`TG)-{)8aC
zd8eR{AW>>Kskuw*y%6ddN52_*`=feL2E9Y}e|3=Af#dqMA_Ub;2lp7}UhV(o9`M7{
zc>8(FVX14a-gwP)@X89&xy9n$Exq#OD}wIIdo9Puq`gftZCH6QFanvwl6Og#@S|8k
z&|>47f5l2sJ~hu^-BOYzDiEXUvoeVt|KQ?5jL}!ZA)|Fi$*FYIFGzi*_KwsO?+jo&
zYL{n8J|8Lr^Os#a-t_45_CIL1(aVGy^s>5}QR_?ZQu|X^3!+sVSu8Tjvw(VG2@yd8
zlv=7Gl0I}{>kVpEg2b04s#AT@l5#oKvl2OxV8!zyvVH2<W{RQ{<-v{HK=csma0XXZ
z@MK2MN%Zw7q$*DG2+=Yweb{3)i~;esrWkHE!PUe?`0uM}Rk~G11;xl_8Q3*xYKB1+
zI_eLIQfbRDDEg$bxJ%~&2T1X!SIJ*3z|yLRM-8tjr<BFrt|AcR78>g4VK>8QwXTrv
zS!z4?qa$3M$;1Isl+Ht0&dMBn<b~rnFA^jG4-ew?qr-JOig|G-|9O=k6FJoNC+TP(
zx04&`&;Qo{^y`23e#Wo=rNjSs<7k;Rgor?c2)YF((`(T7wY_HR+-0%N(T*j4(3%g6
zMc0~wWEliLAO?}Bi+FDd93y+U1{AS3-_p5!3esDZqN&qKEx^Dxyu#}r3{N<CjkiZx
z1~314H1jG52puRu>U(Op^l}_983k$xbQBaLYSl+%RccmL_4q)TB&%Z~DxH^*d8Zmy
zD$;xmG^iOsd}@q$U#uP&8q}$Q632z;hrGM>cVeAU#T^j)cBNkQzuD6sJ7kZ_S?X+?
z1?7<rOg(ROsFykmCRRIe`TUdK`Z-38Zy(A^nkYXw)Z1D;_!K>D9fubJ|9@SZPHqIU
zH6^v(r@leC1;vG^ucxYH7xZ3gf~^W6#u1f9Q~SQ457a1^s)~saMC~U?*sQNR?cH{L
zy%KSe+CJC;OQ*_Z7v!{A?G>p-EVb5K-%7p(F19Q*RQ4AUAbO+Y1GyoF)Q_xd`&C6&
z4x5txgk;gWsJ|-fEizg^2dnWB)VT9Fs9MA&pu0i#nYu=1HbA|fp`??LIRLIq5oe52
zcQmSoMlx5IIz6I@7V%7?{rgAujf2I8UUMnH!T;8^B~TMV>h;zEmNDH6QeD(|k<3@y
zNH(rPI@(m}B4I_<wbZ3lNn|3xej1A?6uN1)pTYI@tQvf}phT(x=VS?GvQ=S0D|5%F
zC!n_WDzrMuLC?+2fY!k16lb-RhTmw~>@eOqG2)#Lji_4~ENqE8+6|LYHRM6fIjMhN
z0aZ0qVLlb#lX6`LS_G?OD$KMCQnyIpP>%&_IZRn8jp6bT3lzZyq9G1-9cFciV^xnm
zM*7(oaGVY_1$6`rM$Mff@yyp-@4xmmW(17*Rn&r)!d9Dl>;8^f1@L?beXT-w#g-5V
z{{ZTBkGcWLuc2CHw3JL3-(EvKlCb8I;&fI|6m;8D1z(8@-t*Awc>y(&wXOex7LUh{
z-+!yz{bo%mtGg{ZDpd9k`y@&#2cCzwFIC;r>9vi(zAPg~7&Vh*RTra+C##87`w~&l
zpF7Y&SMp2A^~KcSgtof-oam?+`8sI5cQP8CKPq#FuHjBDL7axx=cs!xfUC3^7sZ}B
zBc_AQUr6De3+O7Spx60IngIPz#Hh<6QH{*dE!s(4dTpbJBekIlhN4x<aYjcGR<lvT
zE9{QmmU+JXw)M*4#T7$y$00vQ#;$#GQX4=&jbP&Z5^Y^*fP?@Z@S1+KpGp=%gFtyS
zvav_`ufUcmx89+7SrmyqEW2r9nkho*cbKRJO;{6iP85YM)x&KK@9+FjJvdCwD%#U8
zAlppcG^r&@V%i2|%fhK8!SJbAb<ePi5}T_YH{!O1qvv*FffLMlV>oiIQq&;>&SaV-
z|3x~V%0_QU7yAEr_1}-(V=l;FEbLs5j`Cq<uwZ(S#c(i&Q=O`)3I+b2U6sol+?W=$
zS3)0p7`9)ZLyzcBFV2O-Crd3DfC+C^3hr}#d4VsjcLcYw7?$xGrerM^9DU<<JKJj$
zNW^c0)sJ3s@;TS99wJIHX_ET~9AhQ*PJx6i1r3bGQ{&X%gtFhrEE=AICzIN}5UqX;
zppeo_hPZs{@3(puP-hbnfxnFtwDeKQvXV-jK^8@SX0n1H!lycXASs8c+TUyo5GSd3
zkh);lMn5_P0&_Q<oDImn?)Usi?K+#)(b4fZ5euko;TT*r_k3)z1#SZM-$x5US!%pc
zIWY7tGDiSpn}aEiRJh6M;Ca2*%ORLLi72Cup3wa_WRMYz@$(b0BB=F5U+H7H;?{=Q
z7Xv=%Xj98(fAk^Jrd;@)>u3B4CUJ-fcG_R<D9VqGb0@aDCCns0KP&rAt^!IKirUf{
zATd+NH0#oH@vP#<^TueHhQ`jNL)7KgytxN9gVjf$G?{JvLzv`l)XW|kTga<&tc?b#
z<^ubg)}8(I@>8cpEK0BFgfIBhI<Va~9*72AcYrpE3X6oCPBi{BOKYBuz9^(Fknz?*
z+S)S6vbqpz!`GMk0s$&%qAsoIMj%anzbGyt=WxG<2*YSehwFr8DT>795PjXMfb`4-
z$`y!rL{}l|@2~axO`XU1WB%Cd2~O{~uML8~ijpG4W9rnQ3q+L(A#)V=__I38ATvw_
zOo?5+)YJ%}fsNW1>eYv;m}GV70>MlqfC}t)8JBj07_}LPRuvWJ*jmERpAI=r=|ih=
zXS7QmM8MKSMABw=jj?Zrad`D~^!EWf2~D3rvWWZWmWHdX7e<VPpx7J8CzZp1@W}4x
zZ}<9cyaA`t1dSUA_LUm^#M#n!r}>Cmm5v0eb*<@F1+K}vGZF3w<$Bi<!bYt+iO54)
zjki}*hN{Qu9}qyy`K+KCTFa=lyA=TfRen(#>O{`amqA<u5&8!lt`Df-mb3W5s4&V0
z3#YkpV%!;)H*@%}yVSImG%31;2%~}WK2mVqpxEY?G#ZGY(=J&@3W!*&b^7N5SpO0P
z5lr}FJ!e)TG$+54)$E(<q(RIe$DO`G`SEUSQXv?COQ<7NGcGUs;e;EkU+#roSFBFz
z)DoJs1oh`x@0|lVF4U90E&!P}VKtLMxa5L=A)y(HKX7I0V{tOuWM<JY5^cg9(43Uo
z74P)iSWo|E1*`ct!mR&qpyNVI?ZUQQ`+8^nwe|7)e}JxCaF;C&0nI_}1MYcwUc$$)
z;NzRhZ+k!~t5M_=OP)hrEpTA=B=D%MX`nNvZvs!Pm<-z50Xzlxgp~T~-VW1!puTKW
zzcuJwHel1<8*~KF5@3ZK2`uy`%m01hZt54edz<hw;4UCgA$d}+`pra8@t+ACUfl$2
ztEq$f`Cq?3KR<syXxzsW*j1SftSr>Q$DSYWIzM*}Fugnh9=72RI`ac$awf0|xCvOb
zs(@k!xB})Au&Pu84z$*90uC^$3QqI^HhzH1%7BYMz}EpRaqpJ{7x=)Att#l)6eHk(
z?yJZ1fJex90-G|EfhC3ts1yWlL6N^wX>{u<=*TZs;2fP7FuW#%7D(L$wr3}SMm~FQ
zuLZ6}-U;;aWMI*52y#eJVBka^DHDyIkGixcfmXnJPTD#@r#x2b*PZp>cHjT2*V$p}
zckOqjUl=z7u%iPkVSz2kS#fHfn=F!*99(#0txP~myFiUq;NcG0pzI(4Jgo(^xGldQ
zbSzW^@NN^(0?5j09)<-kZ+`BYZOh-)zP*NN$puhP7}(-nQP|fP^8<J&5s1?PtVN%E
z*#W!_rXQ%T+5abt$4t;xE#To1z-4B@VGv8(Z=iLRpbc*w=g-||VsN;;@wwy257YcX
o9f1=~K$C$q5qHGk>nHrP7gek_Idr2a0jP?>)78&qol`;+0J%&Tga7~l

diff --git a/_images/8856f2fef112cf2b683e065c74d773c45c49d9abcac65f859abc611f8b1fc759.png b/_images/8856f2fef112cf2b683e065c74d773c45c49d9abcac65f859abc611f8b1fc759.png
new file mode 100644
index 0000000000000000000000000000000000000000..acc7c862c7784d7a4fff7f3656e0877572fc751e
GIT binary patch
literal 34938
zcmdSBWmMJs)<0^3D4~S3h$0=*4GId<DIL;X(zy%-k&<o}NK1EvNJ)1$C>_!bcdmWT
zea1Os+~@!5zPNXc?Qri6W3Au%#+;v;%THcb9P2j8?JHNVU`f1sp?KxW)js(1=@uIN
zpKp_GZtxec!%H;>B^zT0XT7&ZS7h`YY%OgZEY0*EIvKsSH?y&3XXat%V0>um;9zUd
z$HHRuKfl0i^VWog;>lx2co7WSSL*gxuHfjQ{#?xz&M>=j#dk^K#dBqs_>C#YXM=~A
zKem@B&62+9`!kv8tr;Im<5z1g4e}aL^Ej3%(R6SAbaHC7EPVDuq)=X2a`kid3<ajw
zZni8>P<3PN0|eIQt}8<4Y0XIOOujSipm`|?rT1Nt)R>UE>vu(NQL-^ee1pHdeW?6y
z!w*P8sp#RyrmsRX;it)z|1baWm)gwLTa-<RzFf_6m-7?O<J~11#Kl>S*E!#mZoTU+
znz(o?$JCv_C;Jvx+M`%-ekAZa3!U&CPs`P&2j+(@^e=8LAazfVj=r+!*0Jbl7V0;1
zoFkMohs+&gH{pRpn4dp?KA58(_T$I1)!|&JTDN^3`$bHXo<y0E5xGQxWaq8vth#cs
zK$06bZ{8y!y7gl)OX;euv-9Qh+HZH^{aCKLvckf?6V$upYnBJiH~U|%m2z=$X;nG+
zeYkli{p2!@N`cb5w~&<EdUk!iGxUj6rcy@GwA;6>>Dm;{a%)EQB5yXM_T^lfli7yr
zJ~$M4`!nJiZr>2+`-F|YIISHW{_PPA8UOP-Nl6bQS#-OTo`38gTnpjBWI_A)k{deZ
z-4$6@lb641ZEX!tD?x^a>zmH{3YS3S7Wtjqw|`DeO+5^aY6__%`e*Bc2pHAAW+`Q?
zmSWS{nbM$T{d+$XVI!BLDF?4S!QN<kD4`5{-TM`D>0g`u?;m37N|KHHJxA?1{3_$h
zSDq5QkN<p5R#CNn%K!7rIdtANe~0Vqr2iFlboh*KaX#}C<!5~*^RKtsd-3V6NGoPC
z8ZGK&{_hXRqx#Qt{QHM`M~d^kvY4U&`c*v%-=^e*e}5|CpP|_Q=a)-1@R7eB{vS`A
zdG()9WB#vmol5gxPxa68v3rvw{l{B~V9Ec_+uy>H`1h~ON&WM_|Mg$La0yYjN3<Ug
zwF~UtPssltKKOsVMJn~b?vool&HwhK|6ce1-lBgmKT+L(ezbr87o*)hxU(Eof~ceT
zKU;)a+yCt?{{OldobU<%W4-@l+n`j<Y5ms^|9iv!duycls8GlMe}B0k;{QAa|8rjd
zzk7@Rx1Iiv!VSOj)Z?FGuz>kR9O|w~s`C-s!-wxw^L0YLetnjwRasD8-a5*&VYB4(
zG{BtJ?w|90^rg9_rO2QaTOg8gZl~0OqDF-W;f01pDt38szMpva(!vmReH|EcJLvLs
z>t(a%n^(q)X~t}3jD0J4h184ZkxZl}jEtuDaDOs7JAWZyYKJn(#uyZ!f9qfG@QbQn
z5mD{3{m8NY*ymev@{vhLiyb>VUv%{B*C%)W1O#MSSa#mFx7Sfqdph{*GlkdD`;~zV
z3&EfO!&`R$6c#qW!QmO58kgs5kxX_fSv>mYk}99(i$@j}Y1Is^WpzG%XbYoJDzjAA
z($+4;6&GXo=K1F)>c;rt(d?YAj|r3&{8-h+T^7z7GOtsjch&fg@9g2Jkh&w3OibKO
zfFvL#m4e!PadB~Ubo6(9jD5Nu5$v&v`^ZyK386$Ek#n+u<3>!J#`pdjE&gpW64Hf*
ztsY&(dBi4<L&M$qUJkSsKQECNFK)OWtj{g?rA$`XeI#Vj!6hX0m5lf-nRX4Ih?rQ<
z(D21@&i!y&g%7Jk*#kvJQn4InAF{Ht>JZ)>)$WJP)lM7pla=;ICnr0b+PCcN+U0cO
zo=Dw)yVxnw7WyPhy_gyrX}Z_>iD6sl%T|RudPmCi1UM8zO&uL~SXfv#XX@o_ZJ)w+
zr|HzX4d!W+nwXfxCnV5ml$f@A@;j~n7#bp|&rvUwS*T}<&<NDlA{*j!GF(WPp_{?E
zb7!F?kkrN1)oyK=DN(@nXPQ)0=IiYH2L}gqc09bidd9}-r85mt@X4;j%huG?WNK9w
zbth&ALg~KP*!k0Owl^R*S?3v-nF+XqQ%p>qR^c1ItSkYYe9~QGW8>)9*kqM#1$qO&
zz`#FkVOKmntncCPUAyx5@nc3NCbP*3);sqZlU{{9a=T~~+Uks94<O|Zf);y^kP!V@
zndO+BEp6~eQCCY#Nqs%N_c1ZNw?AD=Q<Tt(4^_?o@OQuVV{i}ChmX3~CHzX|lYhd)
znATlhxCaCneic0{|K#mmU_HerAP~8|+$VbFHX*a5A8uM<!LKhGxzubsf;bc>y9XPj
zSH7#{wioC%+B!NKHGH_q_|}<bbW$s2>Civ$kM;46R+UrWK!)7H++4$St-FM@G?m40
zPB?=}aKvk!BEvQjEiEz@U7@AElv65d>QHtQ*^|AM#;=s3w3=l(!(KE<Jbe5nSSVr+
z)34L3-(p+-B4xi}U|@76@JBt7ioA=D?_F7WGmy0WM_=Kig9F)cCJX-<_0@}ak01Tq
zKCJJUs&=k$-K9sIJEF<IvCs@M8%Up<pAStImNIW{ZDluT!Hi_m6oV5mR=kw-nt_mB
zHP5HE7Vpz-0tqFoCmb9%goP<Kr)#?|&iP#r81LTk&ndB<`r^8~NWA9@&``wEk`cfM
zqejW+rluDpoaPPAGo_6U$=531{<&CoE7g#({cB-8bD+PaBgd>G;2#k|05AQhsnwT|
z_pK>@>*rCm;ka1E0#k*v^K-h_-x<mI9MatO`9?>>kADABfLF(PaAdbSsBo~kPsPFE
zy;W!N$+xvXT&GAfZN4u>9M0bM-ingGfdMNQS4)3?=xqXe`7FgJMS$nh)t>knvlSK=
z?k)FyypE227w&6YsL}FxDL0cw$rFoVOAXhSwUPYMT6c!T#JF2np5oo{l|({k?q0`#
z2y;u2D%;!J4qMX+weE-a2s4_xyF-|@-3C(IoTDv{Bn}Z!7V@;Kn}&1Oc-;?p;AEkr
zqaSQch;Pp~m+oLvVvhakh+3Jd#tEiC@2x(3!{@x|7x8+UqZA$(Z#eJ#qo8}4p1GlS
zekE^OKTkYqnu-!9{cYjW*quKNtR6>d-<7jM(s6!C8Zov8k^erNS;ED`lbNaW#JJ_s
zIaX|P3kL`NM?V`4+!8oAI~Sfe;Ax@Gtgo-HOxKd0pX@h|kDvJWgw9P$8$wk^eUM+j
zUd3`82X!a7D-?dS_vw1$9~`{Y8M9zHRumb>ov)A+jRo(Ord9ctc&A2=*L8;qw&Niq
zV?ZR+L|>Ye4H-Fu;WE2!J+}TxUasY2#TRdH7i#I~cX4r=K0->jJT>Y(ctw4&o2RES
zoDW^Y>0eW8Z)n%Lg-C>XQSDegJ?-o?4R5zP*U41o2=ZUJciW4IH3*h8!=et#AkXgN
z`A;}zg(aO5BYB>5x^<7r%7WC?|439a3kfB@dxw5>d~ADuViZIn><tAnJDY*sq&rou
zP#@{(v-g7i{phILc$rm4p+PIHN)FFJ21`?0*0=7&e3fk8w}!&(#?p_txFQu&#Mn%_
z<1syrJv;<}Iv4{e$ETJ5tm_pMTx`FO>A866w!ivhb914>VMQQKGGejGZ=s)oKsTY;
zpO9U@=@x8bvz)NZuqnlaoZpu(zcczo|5m+yf4*qUaV}Eb^P0X+q2*o}19yjtWwK#g
zzlPuS+2y|L((ycB_#9VRo%7JCsi`mBJY8IfP7k*X2hv}^5Eo}fTzH%uZe0#BRUXTA
zUX0cwgolTR$@rZDggns}R$SFGFz`du6S!@reQMq1F3!by2uVpvH>awjD0}#UyudH7
zPuIrDCb$(@jIbuq$iKUG^Y+|a;Z^Q(-WreN&?2J_Hmh-tgjUKIVq;Z~43EVEl1zH8
z29PeLm)^K7fp>nNMO`Lv+|evU`K=)9cJWA^YPJ~}p)XrG!5Y_QpZT?$rsI43_nEaC
zbP);0EdhSIH9{ucT5zwB3H-r*nF@E%u*qI^L^AmW1e`5vsL$*FFz!k0^2WfU)fg08
zs_p4HHp%A@5(-KY4^}L<*3K=hx0>K`+gpBL>UgzwPe^!af9>JqWXs!?e%C6ejrPT^
zxP9`_yDK|q$M$68<j};J>o2Nk8{O1Vw|Qge!RsH_tz%>KF8r1-g943GLhfmnQG9dR
zRwTwn{{crRhV2i{V$bDAAFQ~vle*m{Id-ozTQV{-9;bC$Ui(F9S0?t67xk-&%cF$`
z$Hz;^EcIQ|GAn+=yBPQv^{T5YuF(RnJAD;)25_A-BFdtmLLP2T(P<7R=4#>)NngA9
z3t9hADk?8SDI*c?&ZqlK8q54tlpN_Q*~CxZJTx|5l#c!@<%6vh8yClJ)nX%{m>u)&
z%;o%`&HF|qRNeVj3F6piS2arCCVQPzcSf`N_4a;Mo;mE|-dC@D%K(U?#C#}r6pG-8
z;e_yY4zDv8SWlTSYNi-g14?RYpUSI0C(0WzNd^;s{I~)S8I{*m1g+|1e@*UB`)l<Y
zm(pQl5{o#ETw{2;9JRvet-8}7;mb3n8A^;0<7(%vmgeS9&Hf{QH_EXbb~=Z$qjpY1
zE6?8O|14K8dh<>G?<3ZbK0kU(24&-+?^b;3Ddz`PPnnrzOb0W0!)PvJ)7@>LrvG@y
z96-YPMZMVANZz|@_ce7NEbdcySQ0MF?)5P#OfQ;*f&zKB!_6Q5ggrc-C-|inBeM3S
zfOnD&#8u<t=?g5!s2Ld<*&ZrxXw<l1TMWDO7MsWo=j-Ng*?PYUt8!esM?lcAIyB*U
z&{@IrL?(7{*7F6AAN>$|zSVdMOQXru<-qsXQtGAV7_C9t4gG9OQ8q`u@NtS9Ry>$>
zYF_QH4zcgAPv%?m9Kv3oo$dAvW-9ms2<w`~qeY=x^+NqSt~<Ze6jEBey;HqD-w0i0
zgR+ngR~L9XmlBoyySc{J-a-RzF3Zs${b^GB<Ux0{oDMg&yA$~Rvn`wxghmDjF$tsc
zqBRZw^d{el=dp_zFJ05O*-9O_al1D!fdK=<Z+)hoz3cE`mGc%qzc{RisJ^~_y3p;7
z>{UP52|X(-nKDb>(b6@d`}fuN$rWR7+z@CQDkUbMSDuAErKq`&i~9i@9%vzxweEyh
zpwZB)<b2M}WqSW!PQBKRR7^~Qf@Ej0lv=m$Qup`SqRdm988p&Ki%R>YxeTPw-`V%V
zJ&A&UpoCGJd$d_kRqZ2PHul#>I81wIKaP0o5wja(T8!i^{0i~sV<EVCvo`6aKc93Q
zS1<`@U9v>js&ovSztaZa3J3N(yM;QMhqILYPGl0hwbRqwD}5>Ch>K&I?(XiGGMbau
z2{fy#tCB7*H|`MTbvj_+C&5Z$k{;ms-|vz<M#kiLo*vMNQnb;q59Vq{rOU*<-I^9m
zmyT(!w9inh^SF2ABU<2_UtbmI4!0&N$KL4133&>U^K+$0gi-(Qj0r0?=}ABHfC4U2
zY4iJ6$YspP&hNIyiE^8JJ}dLhQp#D1qAd1Ix9>Ab15~T9U!n$B^DI|Isd$l_FZg<r
zahDCR)A~aNg%HDz$g<oEID&Jt@`-6uf@;Oaj%Y8Vx9egP0g8*8^?kdUz<;Q}KALrc
zEpFiF=Lf|u=-s>18kg;B3=9m+S{2U{_#86<UO#y7fKD)`#&x&9%F%-U_4gJEgyrvz
z32wBp3F$5iQm!1sh7ZJmOR;HaXnxqb`BZu28ngxpcpQCoTpRAoR%P*?160@q*ya6o
zaR3TQEHhuPQp=LPeDmf?srismYfx7_pQAQQ9MNR`mT$I&{cz59>f1l&W_1VvRg+V#
zg@{WpjZ*Unx~K{d0*Spwy~%}`bm}ACOa2_qJT2Y_LLR?h*=UtB<=Y+G8Y|on;*;Jq
z{B#T8IR`|sGSu<JNR3;!&f^4IV(IMc4Cvm{giXE7O33ZTg{`gNgamR1Xk{9u8g71i
z1L;GIIs$R#L*^+e*=kkF!g#y5xVV|x6YuXmZW$=GKyu7b+`HFZKBMvm$VZLmDVGxV
zk{1D<zYiv{2%HIM%D?uY$RgB6K;;5VX1hMhs*<a*|NPoip#eG+*@X-wwaE!ICGjj7
zq!6;H=|+|F$c7=7sGf<5udgpUFp^$p+Id|noZ?G+hnFJ&jpYDBCnr<>?ugR0u_GcS
z4dZuy@bjk#XVnbAqvkJTfB(*jPEJnl)yXP{5wUs7D5ohFdREgot_}{E@-)c9F8DgG
zUA%$g#Hdpf9nWiD<az4U+1dG&o7)6x^Y5;>;4&-iee&<a_$)eK7P}^FfB!<RPgaHj
z;sxNTK#Q-YruN3#S{9^6SiQ^nx`db^K=6CyAC5l!E_MzK+&|<t)eqepCa0jt7_vg+
z)U&jd_V9>rIh+{hd%HdV1fGt~NRDHGrVk1vE&+kWQn%nf`4^R#*x0_ZTn19^ymX_E
zNQzo(L&K)8lqq``IIkwOwB7$MA*-Q<Etur9va_dn9PcRSY7hX=0_6B1CB-0J@Rk4|
zo{9<{;7agvuWqulv(H|JWeHIUPYez!=i5=Wh9+XDy!<k1yA(vYxw#3@UL#)uwMysw
ze>-F96_cJ(nh*6)PZ#^lo}b>rCL0aZ$klK9yj@~5!~5rkn_Lf8j#i~Ii_$oIY>L6n
z^>s1;Z*6DCh&RT@J{q}VS<1Miq#aPv|L*U%^z`^X77r@69Ag8fXVe~UwA@R%w>soM
zSt%@ZH2QUaWx!Xv+G+djcvm^0mUfTf80%mtn{Y*FQ(EcybC$MPPSWF@KTA;C-TbbG
zc9UUYxJpge#P;YtWoLg(Ny$23eHz6pTy?o|aegY`MfPl|yOzz0<+r^`o|cHRGCrsI
z;Nsu8S~ZPDD)$4j-`!TtbB&1pOa=Cx#q*PCTY}p+6ZrOj!{c~=`UJ)KOI8*!?_0G{
z79?i`gKCQVp;u>g;n%6^VEefbIEb@CKgBdlVtyyaPj?8@b?d!=;EK)&OMVydI*Z<z
zC|9a+v6D!OdEtlq<W~d(VO`y{n}0)352>am`uax4!rEG3-J<Vw{g#}F$TcS?S(0*)
zTHaMwx~Av)8LxKkE(8mM8ghTU<oK*t*LZK|k3Faq;`LsQ%Y6n{4!2J2*CGk8jO6P+
zdiwN=>c|7PAhrb#tMM=EWA+8^hr=v7ahw)h=7X7yIqLqr9!J+aPq7zzlOOZ&^DEVR
zU59dz`SCO7NR|=}>;rT<&k@38irb$)fabi$>34GCW?-`PxwiIkNXQm2K6w_qqhnVC
zIIv?yWhCYINKS&*$BK={Q+nAPacez}*-Fhlr8Xy3POx8QL)q<&=dB+|5l5I09{EgG
z=2mzd3tSn=)24Rb6wn=_`hIDor`Nze!vS5b!>o$MM#lmT^C<B;dUxTQ1_}YUz0Yu+
zi%t6;DPI=%WG0VR*gdYlIAH)DHR4SB2&?XRkrWu$3u)<+Zsa+j>O^6LWSZn_JBOUl
zg@qVE`FdT+uE1YSKtR~p?E@$N9@a}`DW<V)lp$ic{JtyG|7>i8-_G2UFOf}_?@fBH
z)Y;X=%EtDyyZasx-79Bj9tGvjXRETlm%2_)K~QkTMMOkmw>Y`D(w~1cc5!=<Y&9Vp
zK*k#i(1h49zXYgK0EMv5jNWIC)qxD0zCHyqfeO{7o`b!~S0IRFX_iw0Ci<q3V!S?D
zsJ=vjj}%6<H~X8I&D8m~ST(h_+FjNO4`r)H#b)N6?~mxNJn-k{fNq04^L=Bo<ek4o
z4x8lVHLW|;bH)qwzNw{U=csVeujl6@hJ}{OLh~W6YuB#>R}x@Q%^TDYk3C&d|MF-T
zU~;li$JXDy$;<&aLuF+ubnNwX&r@bPc71KA8+$7T0DY2*d9FCEk4hh`^O}yAM6_6e
z5c3gGRv;;NBs|U&3Vkb^t<0rYB_^i_SbHl2As}<%)Y;f<H9^1qySqCFP41uPDl5YV
z;t482*k&2jp7$9`_dq@B`0@Taz*V1VYW*uO#Kb}wRGER}<d+k@I5|IBpxvA~G=Tn<
zAh-+EHstGFIbUpTr8?Ct#n<Z_32GI#VpYQy>8Kt!QI?xx&}zLhK5M+x-4#x!6#4C?
zzod-v2nydN3LO6mTUr}^zzpJmQOAA7Du=OPF5H4*DaqIjS@N4drZ3j=kx)Dn03D=b
z8e~L$dZ|J!6WdmxmlDHah70=Dfaar($x3#~w4Jau#LGp6d>uhRXkBN=1CB+VO&x2u
zHOuoBPPbaW3SV9xM&jSTsg&ON2oMm1>P6z59dK_p$5pkQ+&gS<e&CRl?*dS!k$a#A
z#Vy9o@nw48*<7P9pRh2?<MZuS8*rg~uufM}Mo<U^wxH5;0_tC`&=L9`XK|_H?`c8Z
z+|mqrTB4_Kcnn%)jW#DME2^t4ayJHdc6S$M8$N=l)|aQvpCGJjI`Z?=9VoXA;dH`A
zrYuk4^Jgiw$`|TK$ZaZESgbv}yqGCA4n*g+(dj7QxiXxi-m)>F1DK9myS6ui0ns`*
z7!Hb`nLzk=naj#Ktu#fy($b5AfWflgrNJsHu0n1y$?{*h^EvO`n}c$>KO{#l8OdKx
z0A-<c+8PM@(VTA~JlrmT1+&_7gi^XRF&fT;PPm{BCt4w_Z~wG61H7wnT;s!|2|CHd
zPr-s$!XzC=X?<SDMndXEhR44h&rh&Y^qc81DW<s_BWK`}_@zlLvD(h!D1TRez2F3|
z_6sz&Be)uE3H;?PqFLj6NYZW@X=&+^5_3_dl1wbeHLjEOHQ-!LfTYdM(;GAQIyyTs
z)7T8CXZJSv!xIJ3+1&O_nRR6+6l3?Ea&ZACG76_lK_*yx9}MN|BB5a0pX{-EotWL)
znh`h6-AGCz+}oOoA!JD`vK&MEa=-L=y%bpc*};V57ebb{AMdp*J&sv&o0Ao@)N0-6
zKw0=^F(QQdKtOS!Y`Q-9$CRhQjK?lhqYu_~4qcsZGM8;nnA6j%gzu_OC~8Krb8|ly
zx~PwM0UttvK7x4o0!KIiBon{s+Ec?LOZ5mzqXLW9FHcIXCL#eW&;4<X2_lbsyRCl`
zRHT$Wv_4)MflVHZ``|&#>QLh7IG@LM9jfws92<i?!{%b^>~-#V8w%0Nmp^00&(JWJ
ze}+D>2U^Nw&?4RE!odji@!sPTJYwR8@lp##^W<1&mcI1MNnAqtuhG$!GvVRwY5-&t
zzJKZm;(`*5Qyjx$UPBr5u`aN&v<!%w(0U+@{bqGAK=79*pyJ;kqyHgd+TJ&tuHh9D
z65`<*Wp^-Tp_V3!S=4(SA=%vQzeMyj=}!IG4m&k<`q|$`9$3YgRW48^x|jRHGUXd$
z0O9x5c|La9nihkdjn#KOKOuPV;0}NrV(9&9m2dAf`UDR1ycc`n4X-T+%0~xWE6@v-
z+bv=$sbkH!ljOz&1Q*=sstU{o%%Qe4wxl-^=D(&lxZI36cOE8eX{KZ4?ir;#?N94q
zGwr<v5`#EM=a~vAKEufEgAL6{Ms<-okK<pUgAGp*`ZTt*_$;&rvzrgnMlzj#6!ksO
zH(7cS$3<>yoB0e{Aw@*;qsKD~TZpKM^4ihrkuZ~<YXEugxbA9%F{oMtes7y^E(W#r
zG2n+r=toi=@f0QZC@5M}#1AXoN8%cN5A8tAdb?Ei?S)@I5I)24l5Iw{rwJ;#eDWz`
z<m>D4La|EU6tiw&V*VHz@dXRn7Eb9yGfrTkYrkUHqgv{tfL60wjk|=m6UinDNC4Rt
zcF`U%_*Eh?K!k7Z$s8@^3vjkS={fu4<l-_ve&7xCdbpD(6%`IZ3#k#?CuLToUzs$W
zL`0_TjtZ;^U$1qPm<cZ|Ep-j&qO<Msg3!FTxgp|F6AGfbxu6}lY41A_v+d`bFo5G{
z4wZe<!@$8Yfm4v9QyaTFWTBKHdmVJ%#!`zYMKP5x_;fx{Z^3W?#wCEbz`tT|Z@)TX
z^96YG{K7)CFaiySVmiff4LehrUN)Xb8amZi4g(Z!7ZVesjVKgwKL|fM;t2q|N3HO7
zP!Iu+i!F<tog|p%AB*j=0FXALgy}<OGY%@7X%7$!8%9UH0rBe8c_gy!X;wM##&X+q
zRXf{&>_rY>&0xC5Xmor$W91NhgbxG^_kkHX?JRb+zQ2y}3V(Lhda~kuaWT7&j*c==
zC&9}*9O-7503GhL=#WWuOoHag-IxfLgzNS^F~GVSPtpLztQT3*d{pCu94of#XUBKu
zXXPJQtX(rBS^Vs;1XMz7ykzC5FQZ*fTQfWIaaXJ-yq7x<;sTrZt;e~E+`;--(4&`@
z(Y(9mn22FG6{tfG76B@Upkd_>$}NZo$k*8_W~JJCYKcOgk_#;|F5B}rg)ewQ4mS8R
zYG_ak<zkB?ENpY_It3mn=|>Sg@QlW2Uw_90$N;2e_2bS<kUN2E8V!A)0kpsd<oqGW
z9=Y?D+wR|F;l94UOl3bXTNF}XvBJTl)f|p=T#GE$Z`Q9nPQMC@&&l&(rCgQW)gh^~
zvzqP0!zYg(2^i&l0{ITQwPMgC>BR;6I6pk`optqxU2)~cy-6YXOy;{|ht-*xuV7JI
z^0ec4oj378D@u9kUluRmdgJk9p0~e$iAzYjeRJ!DiWBre5Rg%wMt0oG7vA>AJGy{7
zGvd{W@7=?u>cZz_XP4vs%Dv*z5gmTrE;k1R@9!V*;NvOh>%`@#7n?oF16iv#SJT3{
zTdT<%<1rKshS%A{gOU@M46Ljnt-%y?Ywo^FJ;-m$^nU(Iq0!NwD=T@^(~Y6IeM(4p
z3?N41l=xB=AbF_;|KIaN12BEK`A?x^-AQBnVll$zl#p<A0w*#6<eenNEcG(W$IV{|
zMl>eMtzB6?TqwQ}Ff{D^iTjl(*lLomU1ECQV&tL$YI~X-l2StxJ43l;XSe4u$Y4a~
zrLknZjD^MapkB{M$Hat1N54{2qrJEgx`8Gn269DN4pUy9AczoHuwaj&wa+!4qEMSG
zQYg3lK}MO;I8~L)w!T;ZQA2lvIGuKtR@L~<{=P8)H8S2J3b42?&Thi%H#H=CNa~jq
zom51osbphddqsrWdU}S1+PwOu2^PuoY!&8;DyIx6Kr3Ht09~D(tl@VjREswHye48Z
z#IJS3l2(mtd-Uih>>U*x$cB-TIQK&jzd)JTcaX2~Vq`4R2dXEM{E%7JPce&%>Nk^Q
z8tx~N=Rj%;%jHf4hrYj#3VkwgSWI1wn88sUS%f-4Zn6~Yi(vZ+hA<K9H(`|ZX#Tou
z<cHs7Bp4I`Alpw5Lvqv?B;H^9ROiwY$K3#AI|iG)DuiVwswZUs@Gu#1$;`tOZZcLB
zh@6}=>4+=^69d&t*nWRB(bs<@d@1k&>Lr{ibP-X}TesbwYsKRl7#Kjuc|KO;G&;sR
zzpVCNF|FMzyy@}d8Fs^0I3GSFF8ulP5-9w;&MCaE5<Gt`EiEEe{Tp!0NuKn9w-7|m
z|1M)m3@k{cf;W1=Ti&bWYJm{^?EAPpE&lHw-LG)@73;n59?}&GAuhse-37;L-AMsG
zrhs@-QFV}HJtYR3{yWg4w>wzw2#rr~*>6torz>Z%ff|Jc<nZjQzy9m^%nZ6*PZt?q
zNz~{l5z4wWS$fsz)1~MZgCu1O0>@^1!IzGL1TG@4-TYl}O+<#ibFPdQ^6#&4OYHX?
z(!nFs;(t+=SsRH2&jIzc0s;bR)lODb<C3plCCMj?0K7rQu$!3EiRgW92_o+p$arr#
z;q>%1hB6*_E{s|g@mH@`!D?w#Id2^{tX;i|bG%WmyE0xX=My*ynBWsJ`~BW}#9g3v
zEd#r@vCfR`0JEebbJFaW?(eOQ1cSn5bkb$OW+jLJ5Q<re)r6nj!eqb0%*sG(G^@cQ
zo0+;~r;RGqs>mjsAg3^1C_!0=CiWp?iQ0O)Mr`iqOK?|GB_m=x<Ca2Jo%o!sB`V(@
zR8;pE9awTRYw>hkoM#M>1uGJF_~H4E)p=fb-kfY2ueyRV5Vfnjvrah9Z06^~K{~^i
z>yZJ19^rAEV>Xh<&djW>be{YhiGoRR_TKa)hOK;I$W_VLX>X5^LRD53l~|+_a2(y?
zJnaq&#90GGuS$rLpHgMWCVbOt^a-HYl10f2XRgI2)rBTKTxB-G@od?`P-doUwLgFU
z{O0sPlvpT5@E?A@2;J6bU9Bt9N4vt-N3YQh%Ia-2OroSew;UPp^6@@_;$i=%{gbkd
z+Fby3P`ZdY%^zZ86O7hhVxmk2I5rw`Nmrm$aex6-YT;a9HSru|w_A7aH2?hhXvp{2
z$JclJ@7#H~%u+%;J=lu|5POJBSA*n5fWH(TN=t-xpk6SGgH3+o51sCn^R-W@$WrxU
zU<C_pLFD3@s`(gkT)B(YTXjYo<3?s0Gv8IR!NO&!jVGAM)20ETaIDNKuEh$Pcs%IF
zaF-rq>@lP(W)bl@5OsGC**R{6q`S}5V4w_#8dtpd^i!`RJw`x7>^9RZbTbq62pS=w
zayw^a+#Ck}kCt?*8HBJ;uI30lw`bsZrgrrMtBI<e0XgCAi*xs}13BH3gAJ)?Kd#r*
z+IVe`4`c+R@L@MnxOs2o&e2ABga*?E!Y?=XI=eArs@*~)nXuPgs4lS0`~HUj=&wT!
zT4?FInyFjQ3KH;}kvyg>H*0BWj$&h(G{j}MnkFIqzlF2yRxuI|(?~s1;&3{HjwZhW
zkcZi{s}J<rLMs9J{7ezYQFOfAUyE|tp?Wu*%WwF~<Fcilp5;&b80;BA;KZ+3P6kjA
zjZP0XGy<fFVgUfzZ6yi=T$SCWqXHGa*yH%obe)VQZfU_UNzibP*765XP^eU+tITTc
z_+Y|EIcGUOy{tdQekl<Ej9zPy3`sew;V;^6-@c8On1xxMX0U*D!wyET<xCxzbD$cq
zJFXHzLh*Bo!AqwtA(ZDn(!t{qLC+b@?@TvQPC+e~=mFQz50nN(8BMNY7MLG+5E6J5
zGis<85&<8iz@+DZ#hMERLHV34Tc&F#zyr9Qtzwm;OgFVL7AxqEEf#nZ<GAMZFFle;
zX^3H}&JzzZ2kDXo8#W$aNkAacs^3i8K37puforxJwl>!^(%9Je5yFjTCHLH?YlbmN
zI6l<44hY?bz@-HW?{_D}fhU1>xOqIkIxg6?k?QN`N4GKIJon@M6rF|Y06pU3!(i^j
zXHev6<&)mQXUA!2Y2h#*{G1|w2?2oLDI*5@`b2O+&~Y}Kr#zYK&&w1UM59)W43s_$
zWtW3P>jK{Tb?)*)q%>m`3vy|!_(!nM7cK2-JQ9+hP&tLi>cAFT=|85cm6Pjv?65Yh
zYGZN`!J->uHG$oqtEre@Vxv1EcX9b4RfZP&EnrogS{a^#V*8&nGr^gedmFs;bvk-_
zdH~BP2&1e?&Jz|pOu9gp<!}=&DkwmOC@#+I2@w~SaX&x#D;6)7n_1J;YH3y7B_N0?
zDh{FMb69Sfsurqo+owl~mRVu6KOi?MpQTKZz)XRM*L65^xCr_fh|#fJR(z{}WO$*l
zAiYR-`g*N^r7Tam-vu3g7FH~P;<8cPZ*ai=u~EmkLh?`FwJe}kFZWj=V{lf1o){hd
z3p^7*LKwnlPa|Jvm#sLAp4fx5P0YJvGMqQn0Ig_cq$gq|U-$tRG%E(EF(sB+^~GEp
z8wv10li(H09CpR9`@-Jg;_j^A+?rpTgEk30b|`zKf7wgM;#=Ey)qE7fu5?@@K>@A~
z^xxn<>lrBFQXnTt$`vZ#azf4pmcBKO`a26qF=?QST27P+{gIypwFzMCEnQt3NEp1z
z)u_4*kF@Mbv;q^22ro<y$pe8W{>3iMmKgR{TYJ*DxBacfChz0<oxgzB?ZtLnU3D;f
zV3m)v+5noFbj%JOG`Z$3D{PQFIV<oM7?f>|H#Fox&t0CXz78=PIaelX>R9dSvfd&i
z&DzahATp>+%XIzSkv#uu4Pg@yG3KDW{RS;`;R7C81DF)x@9G(ZodnKZN({uB7X9|~
zfjkFjbEyiX<8N%X!t;uyy1Kdmf{{hB=z?x0gj%lIS=Ah^V}AOGFMfCkl!oMgKlhtr
z8oir8!=p#>GYF(OATJ)?*JtaF(6r~GbQkUa&OTV|K?Z5$E=K8kQNuMTG3{FnJA}({
z3y=ZWJa~i|F93qC<%jVC*aSa38e9qX<qSz-(zwtZ?dt0gibBKLY=Et}qE=$c1zJXL
zc9fS%No;hqe379Ucsq)oa={M-<>@0_Abv23PMGWok%Cl9b@#wa-HZ(C+i$EAkU$ti
zqNCp>By0{VUb28)31nJk|F)l8VX5P6U&=daO+ZI+OlL|^@j%{W&Q>{>1<VZi8hkF{
zOcj~p<oj0U<0S;3?3~U!0vVtb5C~8&PKR7uD+u~1*bFYGuxo8$A?rYTSBk~RFgVmV
zK8XO7)wH#b6CFsOF*|MTt%6gu-AWO+Jdkl+)MwA|=x-sMn#4kbjEl8~#;Q<Gi!zR(
z7Z!t=&rMBfr>Yz~eq?$l-@?FXZl@1!IiwkRG4L3aes5o2&$ry1+J!~!qL!AHRo#4L
zMeU6V{9AVR_5;?oX5m_RGTHfyk9Xf+M+Yat;QZtd^y_30drz=YoE<FVlHee+lXy6A
zJK)bl@`f~5qf#CWMM!Y~n8YOGiRZKsKwYv%-(c3|2g{fA8iPJY9b7w*^JxjD2r9Pc
zOkh-#!%|Wz<{%#w1T9K7{%EJNV1DiE*SpBPC;BV7e%I(~X9EQ652ZqpU=ksNxTHS^
zz6OzV2HbI4wStEr$N?(&P}kV^StR*Qf2uAkC#Tdtg%QAzr<|N=BA?p#R@kXNJ|3)N
zGqNOR)h7eO4JJ+V8y}Itz(6Hz!n^Z`n7FtU<<&!hh2MUkPXZnvkHsE{giSnUKi!KD
z>HP6@y0B#Sa0WpG;ZF#|T;^wxErY^nqE=*>Cx-0aSz`Hdw7m)J0$FTQKUoahNNLV_
zw$pL#qr@|_p)4gius*-|wtfiT#oT8S658~yt_M;N3H@MS@zru$d|h9WPq#gv(lO`u
z7dPDurM~CmU32}_?xxZB-h4Cr+okTXJkKJqA;k*yxr&-zB7y0)15yN`{0?|GeHM({
z+jbCo!?M|mBf%*yG5_-ue1tbAdl)qcitVvAz&f3f#6pRZXoUeUl|Vm0`PaZ%icI?~
zJ$<iJb^X0i#7z)zWt*O!hT1DBu7Dw`kS0m+K(Gp#PI-xt+_K#aqqz!XT20MxsQo>D
zEHJ8;>1oy}tI@HscH2CmbBGTBN#0oqKA~utDzmyShZNH5jHV;Wmy#hFPJnZ`EWV~2
z*4#{IXHO~x#>7g0nls-cF3gwy<4^UQc*<;MzJA}h%dP=jkJsMoqG0dy=Ua=NF{0oU
z><LkdEGL5W0EJAz<?9LY<YoBu6XrI*f#Kl?U`+&$zhWuX2t*>Ct0G6iquK#i2nZ*&
zl-Ax8K0YXEPIL49ueTa2zH&$p)L$L~oQcbGf?a!+BGxrlXkgzy-iP4xI(yoK6gKKl
zjfrt0Iz)g48us?jx_Y^FrOv`<2s1&%l3qFU@0bP9COVxO9)Rx0=3bYN_T%H@QBD>}
z>O;#Hd(3vcj;pk&o|CI##jMSjAI0`7fuGyuaMP-)`&1Bq27VH#?1tk{n9)4(HNby^
zu+!47kjGl}UI{SI0O(aA3;r2|ge$7rC}u%KjUBC!LnICb{*glDbV@Dv*^5)##M0B#
zfg$hyofB-2EH!BUGHCSzsSXxYg4sZe{p=53h-H3{A_9p)a;7d16(t1=Y3&J`-jUbY
zw)k+aW>3gtLRR*UqXDJRS}*b!yNjj7!qW*h^;WO^?>k06og?IP=-t@)4%&s?X&K?^
zA+m4zW2#1Ox>VE_2q-tuvCm?z-dpu)@bsRpab<@@#t(4n$#~!PmRhKCSx>%lC<$F1
zs!ui>*fO0c!z1T+$^bdbuq!qpmb3nN6_@r|^Ox7O>P46!e#4$f9q&XaISpXkxdTio
z@dR68EtGpic7u+S7^pQVsAKCJ8~gV^KK1yBjzbN+A0pQ2$J2X*FPzs$10d+hq*<2o
z?7avIB7ytj^|pyV#oN2)&uHOChxJkIg%H4h*0Uf=0!wLEFkK-aA!!F21{J9TZ{78H
zhXC4*(IgM|aQ+PFvUTfI?xE_%_u0+*rCS1Geg+H6CK+`&!7C1(j*9?7{cw|=Q%G~m
z9$XLYs=fKHxDgbh^TW$nSmg3Wb$Ki8cd(SHLrcWh?%cTpN>}uEC3ChfNF)xJc9*}K
z3b07IdJFVKA3f&euN3isJ!F!~R>=kJ9~&0LtV$Jn>YG^uE-Q_f;QzEmGVx!50=d+1
z9Rbc13Kbh{PU<RN<eEQ%2;f-p6u5IqAgaE_k4=YzA_4h`g0eE>KkX4bd@67HzP%<B
zbn`PCSnR8`XQ5ZNZTb0gKJ1V}paS)*3e`@6Q)m~$pfh&*U@_dn9=@P>=6~M`D(M1{
zr)T{tAAGSl(nNjp+_Vi7Lin844-V-#efM@eKv?^(eC$&F3dC#(`c?o(R6VUGG+US}
z3?Chh#=&lr#gZ}qMjvsTyF692^0IP5;ZOU}a&Iz2{rN$*Y-BZ{<8V;+Sgqqpfm97=
z2JWw^qIL<0gTA3*s-2)>9NUnBDZmBjLW-s4uRT1^A*PB0r%?|y4%BW#7%BC80`&Hb
z_-jcl;O~J{{ISZBR3TeMJGUGO8ZH@Ge1-cVHp>5e$i?LYaUF|ubstnJj)z}W?szsy
z3VQ!TFs>Zeyv{D)9{rsISB}l|WRHazaqklA<rjRtxu2f^)rLJ5SG+v@-p1GWI@@b$
zvCE>Ovg_ECzgHoJ`YTG>mL|&DE{Yq3RRGE$oeK06po&Tg7b@m^yfZ@tw)pF8>V)R+
zD<m>j{Tyfsi1<3Y1vJRq&H}cA-;D$*00eB+*a?YOuVybig-N)rv(6t5pfU!M5%e8!
z3_A-<Mkk`=Vs0+4t;rPXKf#>W8VvZou9W~LP?Acvqnq~>P>I5_GLW-_xi7fE!W|xt
zgy7B^;{&}TRD>GloFK)=0Z=1L^RUAxlH2CPSfxEX$OBSC^?$4;hGF;Kfr9gQyRvJ#
zHW9KMpu(XfL5M^2CW~^b<ft{t31jJ9oEd2#*Y{2w?_NiD5>0;kO^eqZy1J}<@11bT
zC+bB+uw2;f;f2lJ-5BDnJ4k^!RMG)xK8zOd0@OAg$s>nJG%7Z>(B58o0G8riv7B~J
zPU#TY!Dsqj-S!FQ(HM2>;-7y+OQQ=}wRFmpOw<26+W?{_8UPUK1im=8eG-ew>5u3a
zaLEIJ<z!fVaWuAF?iGT)Xc#Llhpy*^&#3lUy*P52KL^thd;(yHzxq<5ej#<ak+LZ%
zDW?6YXg~tuVat|($IP$YrJ#@lIpcV@=Nz)B9|1~U?l&Ug-fCBQw1W6wP<(o3eACX(
zPC8K_7OKz{iCvb?E+$%~bh5}uUIp5K&w+t+K&NWl5AVMkFDiP|@Q6{nO4cH-0I2w9
za3YhGTP_kRn1DB>nktaOLO{WXve!IwY2E&{=%eUOxL{(%#<>t(F<5AcfLPJt)(`<b
zBa=N!?@AVV`8mL&2i_o4Ig6e}N8m9JkJ<GwA1qQf%h9K(wA0*^@P7^11w=&=g2!^P
zgM}E7kmF!x4uTF~53yc{eWA-XsH&et-sk3C1YPZq_)Y#C<U9MVL>4U4RfPR{fUym-
z<lV%`h^C3eUT?A|DvE16`z%2~&O;D<D6r4FA;)9uOwkJb1MK2O6Ze>`EI(*AUjW1V
zDiZsHa1193<zRx$zLSC*38Mi#N1OmV7JHLxQTHAk7Kprx8h2^r*yZnmBUg7>$Nm0&
zFaT1xkmoSN@Z^bP_=zPklYjswOFjemdj!shcAasDcR(fv^&CtTu?$(kEZuqxFfe3}
zleQt=2Q*w_C8pjLuk%mG5}fNhpm}7dv65aK84!2HagQu7y~6sK>jx+Z9C5P;0xs{W
zPqmD@&zPnlNj$CP4+b2YsLTkcD<A_qB}g-{sN~!LUvvpfE65m}t<j9+qtyMJoSpQw
zA2TKL*+VXF)~S#wC@4I(tsHco@oWVL&Jox5S4}`*Af#5GxF2pd&&-e#Mzz3c{yaN7
zVrISs)@_NI67qOALn(Wh+j6=F2?5&K`TkF!y?U^@(&66*g!1eonoJD04Y7ET);F6O
zN))?8!}?wT@PeaO73Pedg4i)$Di!M|<bHq~^q>|Mfuhx}TCeXGZHr+i#3JD^TIqLO
zpF#M*J;5U&@T>K7Rmq!_gw>@}OdYL17~K6+oDQ@c)%41&&}p?seIT*hn;}Q>^XE^+
zbNgixAMB-;rY8CC%5)z-&OCMAR0L7zdubW;13zfGckVBHIg>_6z6^e_@k(0y4M?th
zF{6VZ?gDqLuv?&C>Y1Sw$L_#Hq}O>~dQw1S19ZENza|O1_VFQ)(IGE(FP7{4vVLF&
zahU+iHc*d1KrSg}&hB%5BiI&DsMuf-fd<a5+kPy{{Ual5SE_PQe;`zYWQ*6VaiQCs
z+HLOXi31-JWn%y-Ww)CTa6n?6fqq6UL-MKqQX4R|C>#_pDBnSR2STk<m9jt>0bP4|
z)>gt}LiczAZvl6mSkO(eYQ_fiw5}4f1;5~6gO&b$9v+VhzqTl!@*#6h_d_=}#D&Ao
zQcsT`UMoOBmn!`e-B|1;V>MhE(2ybb0ugENW`9)>ygYNuX3Fy!V6a2)WbdYi6*uR>
z)=V4Z5(<q2Y2a!Ow6UXOE{nYS#ScybkC)b^d&lZe$XD=!4Ca2A*xtMJ;)VCZe82bi
z*V(qSKah0DuM6|@D7*>h7qD(y(fttPxw$#Z(SrA!7Q^s4t-w+QM;;=3VIU!-r&Ggk
zfg2CzzF4xne0l&mNYNJ$+tMJta}6{OleJ+-0Ff!m)Lqj+&k3O^C}b(Wc=-~SAfn`8
zY;y7gn2eA~xXPsAA<!VJG&iRQfdpUi;0OP*)h`j6U4ybEZWm{Cz(gTWx;>)1Buv67
zi6cXE-)OY@XZeg5h?NG$Jvur2H*U9?^qP73XuAP3dA>GG?hyIxeSHs6VB@5~S`^EL
zWOSV7^6#7`Ui(Que}ALqFMlX7SpoFiQc_X^GVmBf*^~-3p+F%N4@U)$oV*L}_V&)s
zBPuGCvk8?Hl(8!i`QL-wH$-8ek3G*eq6bN~B`D#`r%yL6h8Yb8GclkcL}$n$p$>nO
zrv;gk6o#|@3}&UQPp!4pxIW-8O`57CgmBV)urL=Z*oQt?Yt4~Nh;+-1n3~^9Qc!kK
z0RvDGL!g%|{Bb0glG+Gpf5KuXk&WqU0$E+&C}!<>Uy7Fg60__8mm7Y57(~P?CZ49{
z)}DR)kzk;=P*G8Rg)CZvkSY>x3Y&mmqM-W+XrskW8ybMy&l)V8oB(Zl|3cdpVJI^0
zl7!X>VSi)E{0zk9g_@@3ZWs4Vs9-fzyPU4Ct`C4!Kp1;xQKny30s_d8OvZ^q*Qs(y
zoT@Gda1}R<XIcbpbNh75Vr4MvCRjjv&0m;+W2Bk21(!N{MKVu4i(+Pi(_b>&&KP^}
zqV!_(E-vm*ASQ+7EOPleA4{e@ZYwFV*IL~{Uv}7dM73WN7*KSUG2I&&fDaZa@vs*t
zC-rA+@1cP7XOCo*2c5B;*L~VNv-huj>3`quc<0IF)RMm0@$tf8zf`h(YEA&OkHdx+
zDZhRl0wGO==xkq>Qp;wWm01iPjAsBL;x)?tSz`TBEl15xEa)r-tX?}v#pX5{J)OAV
zH0y`;xsfiX`!yNQy0eq5E^4Q~%xWTO`xvnjp(Wh6gpRH)MN-rgo$wxl8{p-LdDQHr
z=uN_;1)IaNe1i2d(}iYeloABAsAc0{L2d^cs=1FaH)tcMR5y6S00ry9xAN5&o&zsc
z%IF?$LvIBue;`>@^*&SV%NH*y#3mkARXC)9jfF}4Edh~@R@h_&VN4jlVznHV3ujc<
zh?7CUp`GNDF;&gedNZ6ur&aAFVbXJ!Q4X9Jbp#N$y&0)E*yH)`G*nbDBY-nmx6xeZ
zc`8KGvH?aQq}Qk(JrY^#xqt1V{-O*L&EWYH3Am(oCu)P#0&|HlgfV<of`S%WtB=1F
zVZsAp9+$tbz~MPNUSbX`d(OeeHh;Q>fMnJ^@nCbOyftC7stx3Ds40|y6tVNq&=lMb
z$dYo6g*%3auOcq1`LblF;ZdA7IUq|f0!W1Y%=K~&ASfsg(tY2WT@N?0V5EvK_&EiP
z2!`>ON2p8$K&6~-3W*m+e1RbWuM+W1$i-n`V;e&y0?|+^yXXERb(jeaqmgTAM0Miw
zzT;3%$Y?@rKMo4L?b#6}M3YxW70Q=F09ng`uLmgO1q{gr2Km^({q7BbLMqBFmH$C4
z#V0Np3)0vB2FLZA?6A!E1V1kEaU$eQ*w54(8uCG(4IpNJxl}5D1wPG{!SDM_0M{T$
z((8(OGP|^tI~4c?luwja4xO%XU?41#NqE}%7?Ll*^L;_cve>8;Im=H<N~#wws7*I$
z-Q+`fK?;^mt>CHqq4iRau(Lv~+lJhxV_Y9-)?$#wi(*a~ST^MWMCC7~icQW3X&IY-
z0{>}?Z~ph0(!oaN(>%~Ki7H`=N9wk0nJQ(<-*eg&IO)5lr!4^yi4V}AQ{-tOJJ=^h
zR)tSM0MVhV8dBe2#&4k9MjRMjOT$NWFzKdf@+V3y2=jGnLor@H5=DJ)flb{p8bh{#
z+gKHcR3zhI<~A1C?sJejfE%?UfcEYSLG~MS^L9AT10d<C)Vf(g8-|dqoGPPRt{)`b
zB9fA#99H_JOax0IatET?)4IAU3EC46rTyLAbU^iQe;1^>Y=`nq+?GRz`mTl@_6{jS
zY65bL$rd9jwD{&Q@gbffcInmblY>D}^%oL_fcu9gb~iT2VJPpJva+FM#)}aEj<iZG
zLFhPVoYpC?Li8bW470XU{vm0JDr^wpO=0CO2bL{|sOq7G{KC=6bX&mzg|OEz5J%Z_
z&Iha9NBEz_0Q(t{*wUPV){P2x8@92LlyAcr2Mi5DJlM+sg6WeL+s7L<s0_eI^vgiK
zx5)@#60raMD=!i+jUcV0uRlL?nOlEe0S{Q|+#{DVr}gm9LsXO}jRCtBYf0?oOFJ;J
zfVF4tcFkskj2}p<3el^G;R%)Oq0YpOZkGBpX%UeR!xM73aC%|J84tvMEUNRunfk56
zAr{9<Ae>-@Sqw5@Vq(7OCOZtDUIO9|vCkG0=Zf)4dm2ER#%D*{D_EMJm0_s&$`z=R
zBbt~{J<vnN#vmk^Th4<5E|BSMX{@{gIwwfDGOA>5q}@|RMt9%>dK@NLyC+`(`q<pr
z84s1-ymrHWN%rmWj;mO3V(Q3TEu_a3z~n|nRZtTXFSC^2?)<)2+Z^5p5iR?Jbqw?2
zGp?aS=tj0MNeUYI^EfUn9ybSJJZkCL7AzKs9PEsp0;IT(hWP_xk-$<d9(z#M{Tk<^
zQwK|~PZJYVs4IqT`Z-Y;VQsL%^4YJ=bmn*DT3V<fb%<I`COdEri9pv#*5W<g<BBjw
z&C`OG0&{r~suF@Ar$krmOzLX*NdPWPNI;&$)@~)1ZJ`pzV<5JV2Oc$;11aP@1-^i2
zz!5thSwp3==6(_j2;BcW<vatj<45`Ig|Py?>!9Jac6Dv|pEAJroZKZQZfo+xYfID?
zZe8`eOq`uf)$92B)!EITl6M8X!W9qF0fZub1nTkoaH9}qde(_`f$ALE^P!u}Adr=V
z%w_4r_(cv&bz~D2zy!0^vxLyl4G@SA;G$YD5%9v%{ru?1OYP5RPa&8>#BNLrIdp}x
zoP@-09jG|V#>9w$&6an4Jq~0AfGjjM)4|lXE6B4DMmRb>y^Ftx`wl=O%pU&)c0J(W
zeeW5Z0Sqjxh#T|{Fxj4pI|%Q)f4^~UghlD%6j+U0c2AwlHl|dE7K%@xDDWVu=kX3P
zg#IK|$=W#k;Mvy>@S~zwKJFD=eO?5@ca~NqNn#>tY3z%uut}xkIvOBBqax0rfeQ2C
z(jDVifx8NPS5)qvF^X(KUjNoRNJAp_+`8j=QLG#aA1Wvhy0By<V@w_nf9SJMd8qmW
zqhA1}m1>)3*VaTM8CxLu3;&i|PPMwUB=hNZH;3h@a!RbJhX)x{Gj`M7)-6J_<fzzX
zxHq4Jf?B3^5bV`gz$I+}Ga2He`3~ido0D1Ly9awK;N%H-o*ae6J&%iy?yd7Agj}1b
z;cs`r7g2Vg8N+12O-f2iM9&+{StywBO*pZC|Js5=iyF|iU+hc<2oAHhk|{UbU<^N!
zW#s(*rpU8?QYXM?F3{VjeH72nYG8WtKE%?9tJ>#gUWnB#p`>2bymUL6JvfVSi02^p
zm8Z6+h&NSif|E2nL6Tw!hH)y)Ay!leOYy3y;CXoo1rYTGe?&htXW_wu$M^ye)@-bZ
zJc8cSO;P&vKpRDln!h~Z3u0byai96!<kwhYHV_NnPN0<Z?5boq?fbw$EC8-*8XD$S
zE>kdqNGa+A`0HE5f%hx_-#DKsDYy2DHu)(j-%CYxD<ywmhhzb-=Sj3q=rIuRtF$^b
z;Vqnf0P8{p-JPIoN5cabZOo*IOEg*oOOupiUokc`^p2Y#gC?t9VVf>y1&Qm$PP+`K
zpD^6=yyIRvQ_#u)4NU8Fj}|HkyK6&E3YBz%@WcFp)j1>EFm)PRB#6Nw@D6amqLO<w
zYTY=mUcKtDF;2k1u(8?2@WLFvYp2k4*BIrA1d&%Esa&AO07ighHVyc^e}7B7(;04Z
z2fi#8Xan}lkZA(yT(}=trhqsH+A!Er%SH*NhK7pyEGa?RlKx;6v%US@139OcDSA^7
zJid4L?>kn5^kqkh4kTi8{_I#uI`NDF(E7=Uh5H^65Ij6s21+iKOVQqyLd!9cM8P{S
zOf0jKXmt35l*{tR&z~QFDj6=@dmqLBKG8%9)q-m%48(@d^8#2oDozQ7djS-+&?g-Q
zR&mx*F2^Ts_DkI|V3k`q;FJ7-SdA;>$wYlHC7cD^vizW1TwS&@-n?8LE!1o;u-35n
z1ezg8r*~kalIG*L(;@`+Lb|b8AozNlo4X(n@<N2y;jUiG--EiglYIu$(E`d`O_MXK
zQV3n*-o5*^NLKciCxnU^T3XbP&JQd3+!p}~R=Djyf&|9ZP^Yt%G5afkT^8n>?fLvD
z!375!Q87miqwc&cS<DJfu}R;zF%Gl-8{*>UT^$mtxaXJWhWq6$%h10a;R_G|IlYQ?
z-iO&CO|+K>MxZ#K{T0=P(Ave?)6GjTtT07=sj=3kt0Inl9DzWg=7s|TisT{snIOpR
z+Db&ZN9nr!6r^WZ`2vGhV~Fg3o$Cqwe9HtX8+<PmvL#S6)uSF1f8}fye{dw$42$Lg
z*TE<D1HlE95!X{Lp038qJA~c8&rfYHjuvoon^L3ZCN0N8LxU)>p1@Fb_>7lkTUVSa
zvG9d2i}lzcEEUXjIN(oZG&eQ<ZNxc;0NZ=t))N-&g^T<Lf@rhLY9R_KXshQY68=X=
zE-eAXk|0JxQVTU72LZ>Pf+esC7}IW0dJBQLVGCN~V74j+L?S@g?<#=tF#2>k<TGh$
zOjNM5fl3gJ<8;}CbLY?m_|}p30v?#;XzWkhT^`Q0X>V#P!CnG?${S2`Hs?((xW&m4
z6&&Q<uQLZ&pIFQ{`N7Cf*g|W*d5yM`7%C<RhCZrVv)eD)Aj#i85WYZ%dDHIq*O!FU
z?_gnj1;STuz?hB8-m(yDAI#3(eyg^a3g`>UkF7&a(sptcOc)SDE)W_A6n?**KLcgz
z&x(3`@1E@2qpU6nK*>Y54;=3!06o6RFNMeJ>@N80sLQrIQ;#<{mkbq$|IhW<GLVvj
zU{I$YzBL7#j3)`=%C7=J=!LJEsC3<>PEJmS_Gkcud&wf7P@Eb@iYetDSb&D66f67+
zA<?fhYYmZ`tImg&C^8MB*8dv!0|F0*I&q>fj$wN^($;aKp~B8uL%4Poq--?obx8;j
zs@Hkkxqtt@nKhi<Vwe|t2b`_QaZRO`LNhv#YIS8r0>oDs9^i)xS4teE5-;Q#P-sw}
zVLn9CiM&L=f1jdzy2^Ez#Ph_V3Gxh96Bn0x&%hegs<1`t$z7|oJr;nkX|piEYfqtG
zni;vlfIq32<${d<9OH)}6Ib3aREiF1X+?5fQ`1|GKKqLhy8{Q|ptwU_aShCey_GPI
zVwdBcE(qy{<sGm|0?t)RKWpksL9kg2hlb0r!3nf=v}#C|zysYgR0XM?`s&_?4<Byb
zzAZUcuKYRRKIjrqAJt)^Oh;$LFDM8tbTI^#3_Loj2=8Nq5m|^Y{fZljh17}J#z$MN
zc(y;+Eg%v^Cz=kb4oZ#r=ZjqwvWHL}Ak3KnrGW}T4AGXOWltp~h~^pY{a@XEX*iZ^
z+qNcJrBoWsrGaQdNQ8>WEGk8&%w#AtA(0_t<{>0gDyd9Sl(A6eAu?nN$&k$A{`PaN
z^}cJp+x9*`zHR${eb2w1#qGMU>%7kMIQHonD&C6sW7~mT9h2yz13CX-_>0%P<ufi4
z(FBwc^~o}-unwd&J8t+FmY#kr=Gk5*R#t^Tmg8uGR*E_$Tju#30p$R(stm*)s4c<f
zUbV1@pL{=eocz5qpJhDgwaBi3HbdUg954CY!U7xxU13T`q0W_$=DEALg3d~iSJyb=
zApfV3JEzx`OPg)IU@Ab@WI9v!K1)93o5|@D(?#YV$|~QwzA$pdE|{voOf0HwY$K|+
zJejaXrl>59)G|YVUhLt#Y1?!>v;yC!-;^jJ<i_B~XWc7r90Il7G^b8!QWGnQ+Ozwd
zJQKbxhBDm+wtnD8pbgsuL1%VD>Lv=@^Zwed^LMb<Lp-RMq28?mO7_PnE7ThDjQJ{0
znj!h`9qSY!*%>H)L3RfLs8NW`E$MU_d%NsR!BLt^G<rb8u9`%LrYdOk^q=4C?92%z
zQTU|gL2Q1~L1VB4Ks0eo$Z3iS))Elp1|6@`q3V?BV|bX91i8s})QHJW)9oK)^L`}V
z69HpgU^5>GwD;!ZrCjvvJl5azA@4j58#>(j1iWK<KgD&-qT^j#8{?78+MUsJT*I;t
zsX#8we~YF5cz<5QDQ5npjm=h~6@z0kGxHdHa46V@Lj6!j1dy;8v`?SEi0Go#A&v~%
zZn2vV30$gD#Ff!iNW*Jf=M$!+qpO=pB;FuZ<|ofQ)yiMJc<}OEX_;q?$y}ep`6q4R
z!S5zKSBH_zhRFlCF$+Tlz-mCRg`(F`DRg4R-gpLlgo>6D*s97<X*WuT82Wi{><55c
zKmwuu#mfcHYha3j;x+S7udq>UW>!|ap~AzKYw#gB9=dMBGN0=<-<wp&CD?-b*V}(@
z;zcya{Wa?&RG(bz40?vJ9=XAqLr`HI8*Mik*M9&!{Tw`19&@5TnO}ee!oow<)3X^A
zPyn>hDNb^tAZXFBL6|8D_04Vsav;z{>en~(hV1$esM4bNho#|^ksEFp7-}}#g=$WI
zdh*54(Eg3A?bSGB9G6c7qiBv6x=y`~J6SBBRE6){MW1Sp6hm_jyLdF0s^PhZlEXpI
zmaZsGb-q6KqphzpRpAK_FK-28ej8c&3|Zf5IX$Eb3=EW%l$;z)Flub1h3*I-t_1>n
z`mrCP2}kdQRHDcb2J8OkWyngPr&sOm3oonS_Vrm?+D$o(jUHX=E_U`6ID+9}>IFZ*
zp`Z?7IT042q#Z=Vn*^mi#J>u|;RLjCYzSfzUEmB=kdM+ay_@bO()UL731jN{m!e|v
z^+}vAbrMQrE-(whN=uJE>n;T9(0ze|g<`-0Ej8Y>6-0yz2_q`!2%_;aHT8P&;%9g4
z3*<F8`XzL0LSL=g5`9@?#{=MAL~oL=Dou38*s-BfdXm?piAoWc!<V|HvgGixPr#iv
z5O;RT)H)2$xF0>I;t-E4djluR+3~lOc=W}pukAEBl$OI+uHo<Y`PQD}Cm+KPe~MP<
zF-tL=-%5~-06G{;(tq@)?dL1rTVnSDr~g2i0hvGy_@T7xmV!u9*>)h}xzn@?h<Sjc
z@Os(_2?@E>C3z+DT>_tuYtMIGS|=U&gA;q*a6>NMn@u_D!~_B{O`=v|1&m`V&+aeL
z*w(wv_+(z0_Y36=(t*o2&!RKxxHSiQv&HjKPT^yF+fjfakORSGj%GIdXA7N+Km_%J
zEW_CeuO$8VrgU$BR)mmJjnqu{A6RyA!=FdNB!oJ4kJ_^iFbuNq13UMtBs0M6qlX<1
zSK|Z0-@dq&efho;G_%i}Kl%r%Gwep=DDUH^ckv1fI`j7xsjK1r9E6;C=ag6iN)SlH
zK`h9?Bm|p$5;hwM`LDw12m`Ci(i@09DV^4DOG({2b1)dXmh_7m+c_0kprepHQrOVn
zH3%m<BcJ|WXj^~x@{D5ljS{-P6=^HO>N8sy7)VOOBUNcPGq-X#3EZh?&*FrvzA9A&
zB@n<d<Jvh!R@QQV#!z^W=x~H_4crF;bZ?LMKKuim8Ona_jg=!a3S3uS?ME&dML$!C
z9*g_;T;DGEj?o;+Ulubq2;Tu4J_OZR{Yt}BTMwz<-+ri_bbX|qfT0UIN59C{ZP@4)
zbiUH}_V)7d@nI)<gZ^C}DM>iB%HDIjbQc%913qma`0ZfLoJ8q#3%x@8mF#P6Qb0R6
znrER1B34RkP#@q!iMtlK+R>Jl`9}I08bF*S;LqFOTbmu<gUGhS&z^OnT3!n>ZD6eP
z3sNp<Zz+8HX4BZq@EUSiPnF7sIfwHn(^U+R_aScHZbL+kK*oBi!q*db=xmFIW{%xm
z5>hfb@QbXFj(k-d6Dd|b54oh%(CYd@#%X3=@{WQt37|J401vo;gf0};0-Vq@LB<_o
zwyqYh{B-P|m7U!;pp=M@xR^Uj&xrF9#6BJR_~JK?)!DApFK|U;9VU2dBZ@tw@8Jbv
zJMl^yM+FoZuzka@$qqBv!7D=aXm}55<lgJZ&sjW10foP`Xn!h2rDsgc8y?TqYYI=M
zpTCMlkEA$?){C!m#mR~KL`a$-hW0P_1y~BAUjx5PfHi7rFceIvwk1YdGSV--cvz#P
z)}W!lkG2GIBrp{lqC{q^Lj`djLZE(`(4{x$tERpS1VbV7XnOZgad4S8riK!pYQMdY
z4f`H68yj~Poy0R`Z5K$+QvVb~``PrcVn)Sr4lkeIYufT>_rib2CH@-FHL6%S=-H3j
zyidbA&jKEKLi8B4Ba-)amrqP9FbNoU7OcWE1XCAwF+TkKs<r@lRaUNKQ+X)Kg~+M^
zKe<SLr7br=WhY6yLMEk=bP4#aBr=;!8j}A2)7AWF1G|bIC}3Jv;jrV@5vEH*75X^Y
zK;>KEqOWzk4kfu|5kugQws<U>OK)9w0IlQO8;A>Pe4^$IEEGKKw8@zHlV(#A=7g=b
zCSFu-v^{6VCujHe<h=O(Ct<n#jC3pMAg$%r%jvL>=znh_ZAoKwT`!E0aIrArZ{ppp
zjNZdpYpK=uET8fC(V>Y^4PW2$0ltYDayy_ms|AxeJ()%5Z)hxqoM%=~e-}tqPJGBB
z_9m#V&K`o7G$f=DpU+=ry!3_l2oj1`2`U0$Ndz+3K^LZDp+S%1zF=y6A~{FzJ%?ef
z-5zidNjdt+vOx>s4RI_4FNXuJZt9go3xrG!*!OY_C;PRJPF?2Z<$YBk$Z2nJ07B}Y
zr{b(XG10kFT-Zih$4e@?T)b7?DnWZQioKx&rIM=oI=i-=5T};iflwLTSe(hQv1G}#
zRF`>3GKY~{1N$%nVBF@0rlX=5wjaLli|1FUbb}ZT5pF{A!_wSWI7CJB3VF;bk8Yzc
zjqqGurS|OZ>%|j=OFwYaKn?Rb=Q5+RLK#3#PH(#L($?9H<6ZkkBd%iGfs7cKRshf>
zSP4*cC!Xg}FkZLO^-e+p5hS1zkBW_j^-PpRIsnbd=G!|Cd>z|?)%>KvV>P8krhafy
z=z&8fWz>B9>(CtBym_<jMc>)SgFMOap$;4R(i)!N8iP~B#XWhtnN^q{fyZM0Ec4c0
z@2PkUs+5Q#0ug4WHo-G}@999&?Sl`*AGt<yN?Qr3{Kk1l31lnc3<YxS^tn4xbNe&!
zcIiZDkl2|~Gs>?08iF_Um5=bZHJ3>~mX=0X1b0TO96!-SK#cVDV>CT}0oxljrBG{>
zBqxA~@`caj9;cF)e}DoknW;@$AR|A-eOU)_Gl?w8vnLK*b@6$rbpI4Pb7@d}WxyzN
z+H*IxTmAZ`0GRA!M?Txm4Evh1I3;mz%W=Jax-TQ)#K%Mlx8Wa>89qK%F@hN~nOdtD
zL0L(e@12bYpzrVNE0e15P~CYjmd{{a=WF{xu&-RU?)}quiK+R;Rlf?2_7pX||E4($
z9vRs+EaH+o^!jMw^|=t>Z^gsg0|1Tso+Q)@hCL<W*vNv<_!<6Ob`gTmc%R$yN_ftw
zAf1OS=X2IzvZ9!#+g(Ilg61u)K42dEJptV>07r&08iAj-za}Pj;a8e6yCu_VN1;ot
zy64;cxVabDBa#7?(xg??)xSaCkxL2=*Cj6#{<IXNn?2PUEr!fAO3XzVF^}zZ{2P#5
z@aP<^x^voaO9nGG02RCUP_Y_Kd>w-n$P416kwfk)4{8c0Jk!)jxt6&NBv0R<QhIn`
z+{uR1Am^DUW{Xln2UB1g)ETPVi9=@#A*?Gyl9Qsyu>@%zDz=Att7ASQa1j!p<b?%b
zsL;@K(rWl0l6;B3hW+|B2&lLO@oNz9XwTv(Bbs<bCBocg!?fxo$_+$R3Jli7H4QD}
zocPsgKT0$z?(Xid^7B*XS8p?4w{Bg-e(DU@E8Q<jL-Q;>qDAbPy4|`V-ERf#a3)iu
zR`jMr5PF`*bk*80aXWBqz!LA<e%81y$k%&LhYA~ju(P2lyw8+z$?wH60&D<E_o3vc
zW#p6XPP~T{B4D(tE-v01Sz!?T7%wWaDrw8gXIh1_Ha7eLOv4rovk6eX`9`*0z&mv-
zRCV9vVC&K*W7yn~{ML_U#*{}O#oHbp$8Cm!rQQddgr-U-noRFG??JtR=*n<k-a)(&
zejrcf@p(pbvE83gsh#R6DIaP`QLCE0eOrr4S;|``+yCC?$8TpVvtQKL)Qh$^AfE*>
z1v+R=sSw|DA=Bsy2SN!r1qE%5O1cVc*Sop7wdYwXMe{8z#nNkwBPAC04=GqWrzdZs
zF$4$#d`kw@<@6Sb8!V`Bn7XxdpR(fY=);@L#43@h5W{vSb^5vwJd;QyJdB!GK!Gzx
zKTIan5KO>I`cO)OJ2Ns`Z;f%U)mgS56%Z3s^j1<RWS5XaAj%PN$jRr^o6PS9*W*=H
zu{${*f<^e!vRjNvpuz3a<(o^0lHIRXbILMjwtv+Dt-^IBU0pIqcu%Tq5p`KGuCjY#
zVgMXCBV!L8+lhCLjYn7QmKQB-m0ZzP<WhZW#i~add7Ht_wiq@tp%$YU>)yDr`Gl<t
z%c#$y^A;N^3+{VFYJiKq3P$niWz{LxjqkcCJgSsMQy2|WwXHe$(EXh(WD|%&`3IKE
z{LzD2AyRiBZ)swpDN=J;4c35;H;$^N52=tae>%gfGStY_p!>trTpoRIM#g%o387U=
zmK5z3rULj=Cmd-lR}JVByPWGA5oB=o&;68G*a#|UV24s1jDF<C3g12JvsX4nB`r%=
zy!_)qle8@Vj-NlOdG{`D#3K=~fDTb^_wFvE_LxU4AwwW5v1&G<kZv{pnITx{NH727
z;xua4T25^xvCJAdZ<(e8y!U$V_<eV&7>VRJYl)%W5W|Ny9kkQ1Km_{4mxfETop(X~
zo<yW6w0n&T%BO>ER>OdGTT2h+?COx2v1V;rnYSL<{tQc*{TtN`Gki_=`H~I|Dm|dI
z?x$$`4qxV@p{J(@J6Fu9od+dy{mMJ9e$VbqJbZ=v+EE9Q!{&H9aK5qTsF%Mqh_PIL
zwgE!bxmMLH(Dc`U@JK(O9&&Az(+2zS70){+VxG}jm1(I|o?hR_OD!hHcZtT9zptnu
zlmK$Hrs5?9d`}&anS$(jH4V*C{SQG-J1d}a{R4(9KiyI(x5>Tk`nJphMzQJ&PwfP+
zEvSk4`Z|=qSIyM=7Bv;ZsU$`cK4H;!popD5!i#qv-3*wa<sSk_<2aM3{2U9KRf=PE
z*b(h`c%i3fese0VROZ&>J$CGUH|1GZFX-(=@V-o}9?=JPeO&><bIGz*a>wB-J{}VD
zVY(_VU@oAn|M37eRf>})_9}<S;CF$Z{yRf1Z{MlZ)o~HAeEg*eDThD<vL9BQZ)5-I
zKLfo#NDYJ;RT*W%_q!TJD0<?n!v69;$*VS!BqRriD6RPM!N}~Vz*FHRzB#o;LWM=_
zb6bj~-E%N=+qlD8RU``{$M!l=mR$&$9eKDgXH%dZTu=jkjTz?GWL2`9%w1*V_j0Uq
zPNKWO-NM1q+uPpfVIb&L(=IFy?RYu7X6o%)#}z`l8J06RO_5v(M8|ep$R;j`x2SJL
zwi*<kpuoMh^}xm3pyY9W3LxphmQ4a(8+HmIA>()|1js^4t^?L@wwtwP8YdH0Zk)xt
z-(0c=*J3Ea75>(o${Rw%8M8j0Nx9g_c{uRR{Cbj%N9!mhg?>{69Amz#=B(vbd?LbI
zCqmuoAhB(7JaPKBYBZn0BlR3^^vuokS>OPU-{@CT&%GuGr8oQuhfw?>Bnsw1b}_NT
zn!j{_h4@8BGs2d(WVvyWJ6sk%U=+(c3YBKH3fnzU{3QPfie*B3Yxv=L{Xw6gL1Sv#
zks5!$zRWp?)a92{>-|3FxxRo;84=xg!9)-LZiDLJq0_YKP8SM#el&Pt2!0+p!NI<4
z^7%PI_aY$68k)*SCKCrcd;HAkYvpJ6MYkQeSlnoxq^S3o)bb%@)l8PhqhR5KEo$hm
zfTFkgWdk##U!dFmZu^Dn?Bj$Cv=T@oNO5fShyPkR%}%rZK=}RotGhL~?0Db*N(g~G
zGH``vw>&!xttH9+MLj!YbG8+*3;fc*`;{~N{MJKve#(PSyH@L_CbH1+#?e(r9%*Ph
z3Tu28zzt|2Ws7dg$o(M#_7WlmTj8rVy=A)4CQ7F%#zd;3$ge@)3McTRifXxRnIm#n
zuswf37>YslcS{e)TL4K2wCK9j;5w!c2V<0o+wp-XO%I|~D(}K<wa=d+CuXOf-u$Wb
zWVOswa2TBK%cXTkZa2DShj|ryW+p;Q!y{Q=FzsC`3DEE>T3V7H86#l!{U95=7<|yT
zu|pC(IBr84+~J`U6Fg8xBuo|p&?FW_G$iP`<9c|}Z0LRaScz9G49XFcri#Vc%}5VW
zOp*$~x_MkNeb&4|PGJhMn|PqI;}ZD@tuv}&p$ka692*;(H8-1cv-KIhN0=<rf$-JF
z&u`6VdamZ?4nKII6sf?_0sVB+o($EhJUVV8u!;v}KT?)EOgspZ+D7U~$c3QRO;fzO
zxmV6<=7$VqGxGzHe|UO%=?`TgIHej@6QjU)BdFtICS5?xAh=}$ky7h-EXO30&4{?x
zxi9PnxYRngWR7G>;I=PKo4L2HyYpX{4vo1G<2&k=P=F?>q|_d{a~9UKqd0@N(FJYj
z_!J(?cdkA=Fks;9>6KM(!_iWYny>i;rKw*#*j-kpbFm`AJl-1#(%Pv?4}xuO*&`FD
z(N;x5oki$*EZ8OzQ(W1~2`L%uFt%I#Hfcj$h<)hzgR65BVz?N?57xhzTo^=VoK2e-
zB7ju7OgVuNfqQK?sQI>6*DrXLLBUTPAjC7+TgJ#_saxPiQA7|*4N^3pzmRF4Rcmxg
z#+$T18@UT$YvAbUZq+kPh8iK`2y^;{5sjH2;-!faixV9$BfbTV={;1|F$%jQyY54}
z@`IIKkDISZ7ngb_GZyEVHudDy6wU!r)~~PE?JhtpYuL-fhxQ=*yl*)Fp518sxkt*0
zVdI<$1$w42juC5pDS>dkSx*g}!?J((wYU=(dWe`d)EDu>=zM<O1)+CHzO|^B^9^~Z
zZ84%|9~7nl`QiaNn~i$BfrB%z+wg_!(hbN{B$3%GU^)o6>{WgMjOWX=3_QCA7Li%>
zSlR3n)f@OC&}<@BM*2u$J-TXeE;UiSp(b??E_<Dj0K+k^)vz}b=!X^XmU6%C(u_Og
z>PFPEO~3qMG-!&9no*CQ@XSvLDX0Lei);}oFL9%Rs(t8s0%XINDVC2x>5>2$m{Y4}
zTuXF1F=POq37{S&VO&{2ek=;w<<6eff$tG!_}vIZg<p;vQmEgp&cJSg59pWQEr+<l
z{||asnc2i0aM8a1la=^g4%Ull^pD`+;CJmg)e{q!P7-h*)s9+YTb+Z@F~`#J{yqmA
zb6gJOx#+}s5uKyF|9OrrvTbRW7TuI~Ki8k<SlGxUvm3o(CNS2?3&^g<BG}Bv7Lj<=
zX1wzk39KOz&EjVtpeiVVif#9qyJuH!qt1YK2m-{Op`mwB+5<GJ9%(h%8GrssGg^1D
zZ%-_a{{lBx^U{F1DC#8pu&5c@4TN5Bp^SK7{>AIZmpq9iYky$Q1VM+J>Km|q2Zw8Q
z``y7K1jUPfLHgHe#GAjvE+Z!UfIPFGR>%-&(5+k$@`ADaq@bmi2l@~cOfW}Bym8D>
zO}$A#31l;KwVL(i^k25b2?cEjgPvY!m~ObgLp*z7>UnO6kLTt(DzLamYH{=5eKM!b
z&9#HmA{yGP>$4UOt`9;v6i#Pctk&OskBgijD5P&J|8^wCayaQ80>C9aKvnpY<&nJ~
zvDd+<P8I-44+J0)FD)X&(Caol(=@6I&!SwTgA$w`j1zXF7v^6U!WMosrRx!wFiH#}
zjYoOC+@`Aqjr+-W5;LQ}^vAVo!wR#qVBGegaV2cn1wJ+0+Jb>Qz$I`sRQrd%<Q;+X
zWU1fE=7uP^%@!x-hGu>*n`X%#N^N!{JgIj{y!6khj;NO(9O@oyMqjk<78)wI=XP?;
znQ`K7Ot%tTnO07mIwZI!-so&*=Nrcjx7bA64L|?dWs;khp3a4>w;$LVS2x@V3<K3h
zU4;UGW<gv-e5s2XCflqv`jm(3*B@=6fZOyx1hXOjRTZ9Y($>GM@<1r0Y)S}V=pH0m
z;fO+^2_<O|g0Gb!t~dM`RR)8rkd+Rd2qF;BNC9_(Oa^@6K@#P~%Ue%ib8YRNrzN_V
zM4xD$D!zRO2^JD#9gc8R(j(bL533XAI^VcBdPK#uW2C^zhV8D9MqP);1UxqJCych+
zrovQqrO?UU@mFe=!%r3nx>T@rAUTPo3IOK*E5m=w_U*(t2bqn7qh?P}sWZWbp?BW2
zc{8Hgs^PESj#hHFb`hO-6eU!kera(QiVtSR_&2GM9;vpS%!q<ty+?Wm;_(#7Z}bry
ze5L3|TI400rFK|jqeY#$M_NWpK7N#cQu}Lm7FvB@A|XfNL3Oi^ehmn#2UpAQuGM`6
z1k<E#QUp!u$ETO&9%;-{l&;AN-}^wbGeLv!i1==Rq(B$FM^M+Abz5a+09Ic}M5yr2
zj@K@W)Bw_wkhGkxRVaura{@0@RFpB~b@-ZFxvqLZy8{0j%pfs<;E+q-5w`aa8Q;l@
z05c>$AskgfN9Uxh(T9@V2T*lYAemD{gcE0{SN=R@Hb(o6Lj|4q)SmrA$IJa939pUo
zpbX7EP~H!D&|bu*7}r0<mfIvV?1-|<8{#fNKWwN`B$lC~8N*mC@PGp-GR|g-o>RD5
zC*;c}?s^|)Rp=z<GmALZS`AdKq2BPl0*VEU0AP8$EWGAOrnGiBU&Ik;W<|(kfa`m{
zW*uE6fK^p`YlY?`m6UY=Q17+n?N*hQmrq6r0!;KwIBZc^BaQ^OtS+V6{#vKgt_x|}
ztistr&=)o2nC*n+a<bBlocj1iNl0S>!PUG_7KitlTmW{Fry6;F5G<gPhm4;f)u1|H
zed&1ntd)-TraWaij!Su$IF$5fuxM{l5*~d=I0M{}IZXDZCQKd`<FJHrjILp3Wlb@m
zkCwgRQvC5Fi?#K7Jd7&Z_E%kX_;5W_)5p!L7htf30{}@_tk_^eS99}aAT8Xw|AQ`Y
z`-sN~WKQBkH1{q`t&#JZ-4D+&!)$<@elrzWIm*`U+pCgglF0M6u(0OS|7KQmKOg4-
zm}V{u3q3B_;h6-!E9Y74F>QS&4XvDZ$3z8|eRYI+e|?fSRLmSW5*>xq`s~kWd`Zq&
zMroOb>#YJJTzRiF1P8)7h~sw+^R!WJgN)YGQ&lk=b#(4d#%Lk3JEHSVyUDa|cUHa|
zMGPJ91G&g9yy!=oXR&FJXbzPs=5*o-B_#<|I`o@2FBh933T7WWJKM3me3LHm6Ng}R
z>Kzk{g#NH^IK8cSD{wS}GM@w}IgWEG#job?zM&LrQ#7g#B=|W7z>T;+FX#s^4ekpK
z{7ZvT#K<<Z9Tr=Nu$g#fxABVj^<EwiYTHuqG#KilXJC*LZg;27yV%2<1ZN?@?$>}H
zr3Y;g=C43TU94R+XNeC2<+>ReAc$;KEpmhSGmxdN_SN+<6WOX5%$eB^fAJv9CJL&*
zDNV?v$NzQet?LpDJhe@7R~iJw)F51h#Vsw(SH85imd1H8*+u^lA_OkK^jEa|S)T`O
zDR!r{-#=p3ZP=jud#(pFZ#E%jqyq6A`kiSXnk>4DK4Fj&9EI0S#J*3Ae$m0~xvAo^
z*G*8!Y(gMdKV;#lQ&J#ZJP`SeoYzpebob0ll;XhTFX;a8!3VmvEevy>=#~w>n^PLX
zCFA1ae*XG(Dy7(PG+GA9V-RCUzho3a#zddn!yU_TFm2h=+t^Gm>NvR;kTE!=w+OyL
zmdB`kdiwf%mmM7(NHPUPMQQV0*)5WkbeF{%sCfYhZ6uH(0w!_LCpO9iLOp=cv_okA
zWEvT3DCdDnVP_hc?T%bNX7(^ROj7UaLr0X|PBFX=m8H3q9|6aO!UjPEGL5bdiJn9D
zF({R`mop|svxv??vhV%+BpR@`<~LnjfOmdzyDF76S8xWnvq>XId*1kMK)f;It;rlQ
z2Lb#crsh83jqJzmFn;MwC`Wfne%#az+fhZU2_(h~C0%ERydJ03QFL(2v!)M&`R|({
z(tDtKM?<53@#`A{EAy>2kiqvNY#i5xz$DBvdNajvx#G3!5+A{J5%+YVm6L-5wSb8i
z-FP)@c-830$lZcmAn~O8N=BB9O$FCMnqw0ezeE?aJ*G*LGW^AodCR7WU?3N&Nm6li
zEjHipB0FjR*N%Q149IAKhl^?>+ljgEr@rc!FV`cDk7N}jE<XOQ3ZV=(gyahcBI%rz
zvAsTj!BvSSWr{(wV%;B()u@@~#$L~8znOuo=&9x+jd^>M5jp{QpAe^Y05>~&N~~NB
zLk-u%-y|D(_(}azOp9dbaiP5dcRSyXFP@5)X~l8<bGrG>({M1e5SW$YtMZvE@ON4#
zdSj#*GI}A`VuF!O&eEEC@bimR2=#z7ffcSaFZAx*;Y?uS7p9r<P)xguHncp-)g6NT
zpzOn0V!u);N<&`bFAgDt*3f=)WHvem;Fl2Ie-#dG$o3Srq|KR<vKU$j0kONhq5|h`
z!B(Y*oTR9zAseLyIXZxzg68VTK5v=peoautonjxe1?p`$>!~*|DMO@zyETFF7vLFC
z;4%n4ZROO4CHZPCn-X&3wBFw{c#4fS*Ia|>fVy2~4}me>A1)hK^*PK8;gfO$RW-B>
zb##bsCle{-Pb?g7mR_p~g!&=8{@O)69z-Gq>ov?E(@fHc#RCS8jzg=DZYyN3C0|5-
zMU*$hNd~|&BW$x@ufl)+yOTadH^>|(R>7Zx32q1y_3`yB{_p`{;(D#Ot_lzblTav^
z1=^arGc^Tv*lQqRJ!<y@S;iS;AVEh5%lh?xZ$pg?NX|r|!q0@Q%umWndaKi-Zz@h&
zSrj@22xxtYeskcSnEj%xtKF3=_bX(Y%F1Ag|4ixPI!uA+@QCa3yb+{t?`FFx$pIW2
zN}wLWpe94y`KC;5N@y!GbuB^r+ySprmz_Rl^ub^?R4w=^AZ~`}2r+zNtp_=wel~18
zOR+i}{4$$I^m?)y==obxN5ew*?cEFAO@xWJb<RshQ>g6GXKo#7S%M{Ex!qW0e0gDn
zA3PWeNfu}=hO=6scMpVEhsP*zQCj1=!9`d+`;hvM+WT^M;#%Ec01MS$@-iE*zx^h6
zW!JFB*y60rIEX-FHfg6q7iM_`sqv59Ij!=0&AQ(-c}t7hD1lR8qym7+J<up)xNY<1
zz}JgH&}C@kUMp^x{8cKLo12UA4}st%Ve0kUnDmjsvTOBGvzDy|Hp8c51q;5cIOFp%
zStUib<Mp5%9<kJHn!Rszb!4q0Wmyz-o>Ql5Q)?@YhK9FIxGj3?=Q)RFyRX1~fO-mC
zay-7@3yaPh<^oT4pc5Sg(e$dIpaDL(BU)hU`H^}9%9RsbNW&>lM)Z`ws*i|6^;m()
zrDT{1^#PNlXa*EP$@NRaFa^BPP;Zz?TKIDOQ*Et?W|jvUB*&?t6_{`uZRhJZQ<J+A
zr%n~t&gG)tdGaDp7hAQ{+F%ekZmpimvSkUDc>NwERYME720rF!yGyg^exbw+0T>3M
zi<XP`9?#;(SMvGr)i5(vF=??;gT4@z7M5}<SX(TIQ%7v;fssw1U_(P{(oumu4ofl_
zQ|zL1(S;>;BqW{Z1}?ls)&K&b(Xs}<G{M+fWzcFvU4<JUBNw_k$D<G{sL;3sE0!T_
zm864h%W`Y|J|D|?h-ZQq+OD40<LV$bT3@?+Zfb|TAIx$=NxUeh?SkbJY+y0`>8HTx
zrK@G~B6NU+8(~;Vb&_FwwoWlEP`G07lmcD6CQ#T*N_iosS+uccs&#?l2uk6Es3@_I
z5k3iQuDSSb2||t`QxP?O73!Ua`zP5=F6HT#dJ(rgRL%M^n)h)mR-&B5ppIQ|IMv$=
zoz`E6X<GYmwQA3jUA{CT2852~vjU{#=-P@~THG-yEX(D!p^>vGH;4xWPNKHC(6@R4
zmS3{)5kNhFY<U&>B~EE+Y2>SxlzK1wv$S=8r8j{Yml$D`>#U^$St@JADNoOdp!~p#
zqMV^F0CB+!<NAXhO37rYTIr~L{G<TT+4EY&E=g{L{di-{8bZD9^V6l7s?!raG}v!U
ze+z`kk_r=?J|STI`p@1r{+w_&96Ec1h3^KkzQ%)mcqZ%l%a;%3A`eqKlj@cg5LtZO
z>MIrI$S|IG#SH0~ep6BdE;^FL4kP~0Ya?qF`uVpv8{a|((+g+@RQVlb(~=yl4Kt5k
zp}DJnq9y{2SqPvw1nKqmXHV-h;j2I)MTCIUBaMR5DvdEi_m7X2m6h?BHkE~q3t(Kr
z_vR5E^Y&U{$AoFj$wRX3@E802Na`_eLNVlxQBmY6prw0CuC$1(J?K?JfLUQ_O5=5j
zx)&suh4Xo+ElU&u1$qt1GKg%ubf9k%&R4Rh0YU`Egxt%bW3T8o13kjbt(i-gqO1`y
zS%m=d@nFvnHbBiQ5OV}O?dIiWMiIH0{>nWBYC{o40_PKal9l&I3EOVRt>JOb)$j^*
zEiaQiYEWeiDnIGx#Wbj9=cijM(FtR$n~2%*)1B25rVas20>~Ns_2~RhXcUY(3kH}n
zGa4d*H*7x`bqeV^I6w5D%K#T@GR=s?h<r16F^EDGq2P}idm?IO7TSy&Ufa{4wZqh}
zr8A&_rdcC4MMuQOG6x1Kk|6hY?{1y%3~lM@z$50>Em?~Nuw3lEsS=B$#Pg50L<I;B
zO)R_bdC0=v@1((OkE3w1KB%W&kN%OCv0)X?A}Co^gb(rEUtFW8sOaGAeDvm=6|tRW
zYK=NhN@h)87`8<&4}f)~L?oM!!a*zrAc(L3G6wF^(b2)e9t1hiP@NV4wq}jYshT)u
zl9GX=7+jV-=Jf0`y1DM2;<s<#5Zc3FW@bi^-N$Su>R#5haU$gi+e^J#{ut9eCbE(Y
zpquY|zmxMNa`Um3wwf9ZU?U)f7Ic=EvyJy5lOQEOfaJp?Tyb{16l-pdW?Yo?E+cYR
ziu$oWA&&`#2p<lhwMe*l7HYslLLec=BNYS+4@AN+gTAer801h*KR-3r84D&-$H1W6
z^N&XCH7^uXE4=UAfz*f(zi<bEP#}7cA1+p!aG=bs5`IhLmZykW??Ud_Z6J;*Bg%I{
z)wwQ?s^O(Qm#IZe=(nTWB8^HczT~>MWu^5(&I<)Q&}{WS2J}#OO&VP}xVb~%-A|j(
zK8)kG$VCKE+`>RPA?NQ4JM^UO_*1X5gECup2@4CSP@ACd^xHl<)Ray`LXusOQC9&p
z5`y2aSgcfNv|@4QjF=yVYv*wNi=+d18`4m?*g*7!0K*VCXIl~mMqT`Xu@NZ|H2**#
zE8v8D`?%52lV@*b+C7Z!!~sWBL~*4>?>;|NI{8oRuS>R@1@=5LRiURun|M;d@-v9o
znZ_)4vLTNw`e@oFR#q9zJLvn~&U)ZUcHy9?>+j&^C!&CMjv-vb5E(9E2csAA>7khi
zhC%#fXzL|lFU6n<b_7x`54Ha@WqZo$t{(^Q5O_=i79hd+_wwR6xWvA%%I=s}ND_CR
zKIPXiMGQC+mCFG^kZ^H#_Z4vVgbSLt^H_GBShuaAyUm&6{}awU`6wQD=ooa+TEJzD
zcyAF%^Hl?d8YJQIB56dZ!C%?e5-&dqHzC2N0Nu0aRM)bL4dQjgllB2FsDfDsBx?l7
z3fehZY%>1<3sjJ@K#Pp1zCp|-0%R5d-!+Dh%S)CyLmQ_A0N&(FOSo+KV~9RQ;jmx)
z>If+p;H_Y22&_=A1ME48&K4lhSMYK$w_!HUdhlj`9ujwyT#bSKK`!^T<<OCtvCbMC
z$Al$9nf?twjISMlARXh5S8K37^ueSh2?Ah1I2vLsNuJ3XsKKEoFCKq;1WMJ2ge4c0
z+y4xNy|F-{F+SPIFcl+7>N!j`asvi^6_CxUlU;A-t>B7=0uGvXU~}>KZYT$(z#@Tw
zmQ45Ghtw2EGYBk&^fBa_ptpy#<N+uNe^wFb18JCljGeOVdZUZAjr_oX+3{{YLqjPv
zc|yV$-xVjGzyKbS-4g06z&GhqRXc{BK5te5y#@72#1qafFY1CDKd32ld2J#iUKV`m
ziHQjvaP%<EVZg0o{tY|*T8l~)yOjxVsZe_mYYT2JEa4v5t@xnU$LK+@dSL!GW5<G1
zK><w_wlC(`Ex=cNk=B0g8ZB-Y)B`4>u8^292wvNdNB!>OM}JiDDDH&G3<Bw(kc(%x
za-a9yvQJi5_a59YXRv_q%=a8Txb+q?agJX5tc=uZ#2EIWg-56&lp$(cSXlgVKO}us
z2=)ej5aj=W<8J`OLq;IpMF^0Kk<euV8}N>9k7UlrXP}a~QgkyKhG2p@!wn>7V>3n5
zx_|54Aj5>qmo6zMpFMX!?m#1=UGU3_z}0LSoeHpKZuFF_!GbOZ$_^yD54ja58|1a2
z_m)>ss0=BO0)K;p+Q-jtRfwJM4d9K2pJK>)j)|L<{u=DGAJAzMm=gr*AO;H~`2et&
zu7!n^`^q&Cg{I;x!T=N(JDLYzqR^5<<1CCcKd?>+kt5kncsLbpZPEBSmzgFm*n<#*
zFfln<f*em8IyUSQaBfQJ*T%Eb(9n=6Sy@@Xj6%;sD_2xh#AObNCpbdC^z=U>A|lQ|
zy|ft(8Gy&%32m>+zlIDE<?8CytFg{B;cY=Th3B;$O)Y9juauO1h=zM$)l(8}H(p)~
zu|yvftR1iI0ev#Sh3^v-^#0F=YCUL+Gr)?UXJv&7r)`S%VV?qOIa;POA#;8$dy(LO
z4XW4OzV6PZ-UEhfM|STcW68-J_y3-9-Z=I7kZ<Y4)!@B<O^)}nzO(5x#?mX{BWyly
z@;dV8uaFPKzXF#-gtF;9{vH;8se%2vF(>tZ9$JpyFunD^jI39{r+L-|Pf6lW{rBv1
z8O)Ps_w@R6*!MsGQFl(Iw@#5Z<gXvqmGLf1jKjd^b?lyjj3pr(eI-PA|D4eM&u=7B
z?<ZG9KJGsaE&tEs=`rQLH2=@*Nan=-5H?&}8u{-p@b_T%zi&r`%~_Uq-&6nj<5-V+
z{%eN(e-C|Eq2GqT!M~S0h&o=0M=NB>$B<F#Ls9HaRR6x?|GIytjnDr5BedH8{)NB)
z74ZtU4`b@%|N5AN!@>W0RR8Or_`e=c|Mw&MuiHP7^6!W7*T3|A{jhuz*@yq<Bie#5
z{Qud__|MB8Yms&kEA*d-@joBf|9mw6AHGHZ;Yt7b60hCBI3hyD?m3q!!zTPO_Sg{w
zhqAjZ|0Y&+?A4*-Zmt1uU4MPs03%R((JZP#uIm`o<pnThmDOMk>n*w>#iCi&%#_&?
zY{U8=#`_Yqkz4>Eyr@<S_<>u`*q9>f+{Py6@HV{4iFy#+BQiV`B0GYJfm0U3m}6*n
z6k1z}UK*!jdQl#7iQvTE%)qer9lW?JtnBS6LnHmp;?psLMY(|J7s%hq1mFXtgEEo>
z1Os@340#_J3Q$m)<fNq_Fb>~?3SWe2Zno>H)QqHi*sJXM#j|os{PQCKzEX!NNo4E9
z-plvm?4MiU-~ask&d8A01p5NnUa*M%AOFWGH&&zMLXl<#87llw=8U4`v(q}a{||w`
B<v;)c

literal 0
HcmV?d00001

diff --git a/_images/8cbca623496582a115538a3185e324f2cb6a6650a860f5e35391dcaa25573435.png b/_images/8cbca623496582a115538a3185e324f2cb6a6650a860f5e35391dcaa25573435.png
new file mode 100644
index 0000000000000000000000000000000000000000..55a169b91d9bc55b8e59c8e7bf1eb5f50fc8aaed
GIT binary patch
literal 8616
zcmc(E2UL^Wnszu=uwX-q0yf~#r3+H5AOa#%r78$W4G=;N<ti2sh|)W#fDoGWP85YG
zCG;j>RH_L*gdUhTo>_C}Uo&&(&VTM*m$g9i<;%Bs_I}@|?ckd?)b_D(u^<qLed^b)
z+(ICJ<3%8tl6UWfD@CmbQ{f+Z_p3(kx=0&$&%18c2(7#BE{;fdM?1?C9@cIsJEXIe
z*f}w2krVgb-Ca-$;^I#Kaf2Ar%~qV3?=%`7!t8SGHVT1Yz03Gz%2Ih_hd`WUQ@?Ui
z&nszq*w;mGjJt7OV0#gBtccvnD~E#v9~^jpO!^KthomY?R<gm1mm!mB_j9ivKV!G!
zR-S6MWJ%nQjMM2-EcR;eUOZD!KhPccTkz8pu}yq`+4<$v?Wb=qEG)4mc8LrGZ70@!
zemrYCt~r4E>PI52PCKtv_{s*KZRB7=AdEV3*?VAi?CkZs5Qw)Sb8s#96b7#3?1puC
zC-h$~8_S`YY;$n9&i4;@^}M{i>*|#&(r9@EB8@3jLcwDy?#IYT4^E#x>m*%0=Q{W8
zBHx)a(r8Wu;+tYrRMccqvsjL&X7L_gZUy(}i&pc6g@szC`w)oxyHnfV1O;uM*dkE6
zrs~ybYNGH~5Gw*vuX$N4{@Vjx1mX_c_iZrat1B=&gM-QlM4&$7hX3Eo2`^GOg-zoH
z^3(dGy$_gQm+F;4GhcXk;7>pJ&&*E$^#{V2QU@82DWe7gLHN|EOU*H&sPJTEKVvDI
zmYZ&FMey#Ml@+gH-`QFPuer2DnQe%`v%QmZIyyQp|FUhDkbuCO-a=mgm5YgT$ljKC
zsZwvMP3`hm-!Fw$Pn@f#Wer1iAQ0aR&{nf&?Yn;u<B}1Ylql%S!K!SYyF+Rg$LGSn
zI&5vyuWM>5;)R$H7oK%Y&UF}#jg5soeR`7+&i#;Qd7ZwnPA590wy~2V5QqzhS$^(#
zBcPqq9m**s?Z4sG(Ac<>J2E+0w4jgT$jr?AQiS=wc~K3GhuA#JR+KTq5^`C#{0!d&
zf9kTI1()1-l9gNLXzKEY^XH}}d-9>cw?~TRT-O%uhS7ayl8yJ@KiGi|Z*FPP^Y*SR
zj*f~7!ks}N+V=*HTE&vT6(UK>V-pj7tNBmPcq{UFE2i9xf*MXZ+4n&WJ=b6A5X-{C
z(w(8fULFf&b2qo+`^d`t$d_8*a+Ggdijt6+n85@wx#zVSD}5mr-#y-%NPEAFH>;@V
zmbJBYL^?6~ys(f^Q*9G0gps}bN`HmxYt>MW??WlFP6=o1etZmWYHI3SpT&!-b4lO7
z`Hl{wNn=*#s0Bw5h?3o5`*}Y+VU3l@B#zLyp?JR`tN%u8{SO`Y=Py^d+%~UXu6}xE
zf?p2J+-hL%Uyv#GzA9z`bK-Bc`kx>8e}<7?&&H`f!InDo*-!NshG4OVSFQxbh?*RA
z8RB?-yVxdM4a*Y}9IRt+kMo%RGG<VVK%8iiQNZZw>D~YK?k`QBKQsGah)MEm)YPq9
zLv!z|$7CIER(niG#l&Pr3TT_V6v78KN}Z>;Rl~S4bY83OP_hZ_sPU#QcI#^YTpC2i
zo}o`819X>XhD#j>B!~T$huIB85s2Ns`R3F@+cuu)=x9M1nVx|OnvcxAPY2kJ9<8c`
zUEQr4=0EXT`B!<&3|H@(n*CZ^jhb@w$6NU0NtM&o)gcjP1VUO$Ytt!qYRb{O*4$R(
z+O_-Sh`{Gf@evjdB#n_q>5F_})XoZtrsmnPwVL;9I<Yr%#nm%7DVHS0#Z29t-E?CE
z54gx+J~lL{N9^ZTIP!L@{pDq1VX?K14X&nUXyE$w>;FDX{$p%<`k97?20?N0wt)%i
zYRTOXJ2TSLx7T6`BRY<bj_-iVjPq43sID6;uG3#@2P<pg+p)2;=b$Et(B|FU*}AkR
zDjOI5))sYc-HNawCS@}a#+AVB+zZ%TuLq#i7<Np?^5gD_r4qZYGwO#0Zgju8`fPDD
zQXBW`)g@Ntm9%gkC0wF&m3oe0fq}bwiLXB3(%YWNISI^)3#S!Xk>}vSmv2)2jkQ(i
zi#ymDQ_AGuDg*ARsQ8yaZlLNXK${43`SSDx8N=?zqa<ZeVfab@BioVlTVkz7wtn<G
zWD|T<qrJTDf<u_M-4I8g15QvJ-?w9!G(BOA@{mY&KwbU^k<tH|Gb(wMg@lD=P~)0>
ze0+lZ{HnD+v`(ou#nV=ygBnag3Ef|&nJv7&?+`V5d!e$jl1#$mWu1qz)Fb&nQ)uKu
z0uRa;So?sDDJySkz-Fa0p6(IGqhuV>U2Ll@YF=Yxfti2w$CF0a2x6C??AJFpPw|);
z5>#I!=M*gde3NS5ou%U}4s25YoHC2KckkY(32HWyR2LE&s%LGTk>a;>TPyDD$w@Cf
zNgPj_9a>t&ILB@WY(CgWTJ@Sp_FNoKM3VE$zjgxZMkglbuv=hsV5%1hwzjs-6q<s`
zrArS6`Iy+#Z5u;WNkG&qHGLXHt^GqU#+>Gc#KVrEzEWfjh*6lnaiLbDiH+*s)h9+~
z6EC8pd$PRCmZ$r^6?(7Ma>>ZGcUJHyXKJVBhlcKD^!fE0H+q$phh7tS155`724KMd
z)Ky}P<~^MsFtzZ3RV7P5=bh$ZPR?u`4wp8f#Di7j!46u3^ss57%}D@DE3HozLl5Zz
zW9sYarB|XR$eZi4p1y*xwvS<LsS|B|z{0dor?HcB-#-A%^<8FFN(X$atYv`7<@_gD
z=<oYqYrGTWkST+@&^AW{@zcNkZ#wLs2F@<6417W}Uu<AI0&KyaD{W;~OF(6gn&7tY
zE38H0GsRxsKK-xdjpsqwZM*hQ8sgWYtK5ISii_jm6A*A1X$*U51WG<AzSmiMg}zL3
z=zn{cOTse9AkR2ML#*-&u*0o4H<E|U88?AKAnXyZNdwg>YFg1g5E~UWx+Dplp;@_E
z*bJ0jaLl>lqUTrdH&tj#rb9ukK>>c#CwYYKkH;um`~p=mc!Vd(@6C=qN3*n3mDlDz
zu+rd{0^OzS?Cjh=55=|MQ%j6_{`{MV`UN8f;*bwLXkL&-?>KqT@a9lAAA(&Jl#0H7
zbbj@W0@Ng`YUzsu?b}0E`-RcZK4Z~_55n92Dt#)<4uMuyg}PGmS#0kywBUYQV1f7l
zf)5C2pXb4<fo5hp26t4#9UmU=>k8*S|J%~^P^E6Hg@5J0ceBrm*Ty`d)SvFd7>=QY
zzWPu^Yhl>y+S-3DT)D4auVci_a1GDc9o_{p`HaWgN+Z82LPx)!&H&NJ;YMG^T<eUJ
zu#&cEiMy%EAd2Gwg8&ErFopj2f?@?j*zB75v>>Z>^5W>&@~yT|HZ8NAh&}(b9{FE%
z%^$8wX!QHY>O?9-)@0sD<|6-EwcU0rD+|ryG{8`Df<r#@7^C7sgG4aLRs2m4^J}(K
z3h?<ik`*4=gJ(KmbLpsZXIGbu&*J@z%*@{N#M$NM3F;0<uv=p+>MKS?_kv}SUvsCX
zrcmLnL}E-I1zi>t6m&Ccd)ofN^(B-avEqTH`YmGA#-3D>W|QTYxw(5%@sAnCCs|yN
zxGb@!!D{%{*w`|ZrLi;=qPlvpKQ)mw*(yiUb9Y~q|8I~nZ#c!JD^p7Wv+|Zvv$ht1
z^}YFKIZ$G^K?A*b@q#FUC7cHF;Q?PEE#6HD6M9_!mPG&^{jLt^hd~hu5>~1g=0FOw
z^TMD{_H#?$c^4SyH~pnlH&)Edej2<eJFou-0MWNiG*9IR0GDB50J|4Bz9s(&%lG#d
z)PJerwEYZerVwCy(e>JdVT@b}RoDw#R8(}S&e_emh&p@6Zz{g<)FhojI%%s6Pg6r?
zk&{{9-GAj@B@q5F$iOZjL5ICY!pQ9}A2NXK{7l8=^Bz+!zKr_H1e{34ECfT1F#y32
zfI-1;t;D%<>?p8V#UBjC*l-%ThpC)h)HvOFxXKQ8ziM?naoBu6z$hnR;6PJzGoO0$
zdC&bmLr|f!%je7elr6F}fW)+ZPiIdu(AT#kcV~0SI>znX%W=S6)5D{z#=M{yvVowY
zGX&t9YY{#+xh}{~kpi%SeU%2L7YltIdQSGQMMOnMv$+SfQVZm5d`bSm^PWT+t}X9n
z1S*nZs&WKYoV}>BZ3a!N?CGIYRp^gYjx(bRhI{*!%kI(WriB?NRagTbv)HX%)7I|m
z%`+*z_c=m=aPO~#f9W;@Q!P)f_m6d`@%HTE#iW5JAv2N+R1#t21!06)|5qWqDq%RR
z7AY26#u~9=Jqa=n5NM1p!G}+Tf*OM*r1hF0?N%4Y7)uSd@Qk{7fuV$igtIu5bA2eK
z4<iCv42(3FGN!_3aq_z(5>GGt1C@_NV9lT%$n_)-aIgP>bmRZ@klil<5t0IIt*vDy
zm0fo<pn00(BMLf0(O^&btiAcvL2Dge^k;}EeFrnD9*D4*GtoA=>#mwHhJZ6U0i9ej
zHrCeis0q!_tW|YguSJmU67R?J%Nr9uJY2-r@#q&=pfu4~`+N(!m!3*5lNGVEf8w%T
zV^!cFt<_AowUR=nRrV^F_+im#ESKasCYf4!^a}W(hi!Oy`zchJpgw*n@bTYFrvB+@
zk9+<Io0N2%HZ`Ez(b2&rdGBf6%8zF^MS=6`uU)Gr3?lJ)&>VJ4Qv+XWyo-14Kb}=m
zBF(LgId`O)A;}L#%t?68m};dc-j3wg>IC}EWB695!LpuX$eM#8V+??^n_db6jnbK^
zl^7Kt|8vTr2N!)yS6AQ2$jG6FG#g8r^>mJnjn#<2D5nl)>^SGWRs#RSZKza~$B-sJ
zX0zDVkt?-RltuBR0$j+*glSHlguo5`$vAwNkPvQ^dhBNaY8|6I;on0s)YIG1GP1n>
zkZ58UMi3U}+uCZ&Sh$h_&kJ7_*3&<DGL<yxWt~y%Z$@vwjWSHh$}Lw@PAxFtr6g8o
z8p~|XDuNPfr>az|p=nihTn^#ciaNJvt<03#f_2%pcy(W6!4b#5SyROEQW9$ODe{NT
zwr!0oSNE0LZ;*y$cqw;k^HZvAREYk{DYgEsges!BTsl_9K3ASU4SUhY3`I|9queQo
zx7w6tQepj#hf>_V5wC;Ne5<_Em&b5<-c)4|ZX#cq^-Z5`vRZ4YeK>RG8trD@TBQLg
z&YnQ_4&R<g5T&&aKUeO3laJa*8)82dRa<wn2hC|kRO+vodiR%Ysu8Oj)V6I)Am4`f
z@+emHt_&309#aR~%=i(#BP=K=Z)@N}PsTPjwX}4D`%N0u*Vk8Y8-2=9o==}X<<Av4
z_eXdM+0^f{vSr!LcCwQiPK)WXK8KF`WrwA7_YV15hISNM5svWk1`rDYl=IE1g(M|!
z0rRo+2TZn~1pD5@H9PM$I`8${5_+n?W4g$c{n)WV5#EhVRSWyq0;L_1-+n!`Y<%c&
zLEm7SYrcgG7aLm!=mm3cZ*O894krZIBFM+rFwH2WIOfj;F+l3BkHLr0ANI-JpZoTn
z;V^`Rgrw~{({G9}K#5Vc6|N(T1p#!8Vw=`mw{OSq+{cyPlVh0UyFByKh$w_5yoLqo
zTg#fXRQrGD5z`&H+lp%;nFDakbFLiV>%Yxo$*zM=<$@9tI?yuYj@M6SDkpfj6}`^h
zX@RU~u`6{`58k+b?OJ=1Jj%Y6I#WH1V|d8$a03WC4f0LxC`U|7J!j38=H6|C(Bqb-
zW~dL1oB@-fKyJY_B9@t==esmuE8{+SvlLp1Xc18!u;tJ2vhYg3+<92qZ_Pbf9>ssB
z1u)wkLdDM`^I4v=UyV!d>r6f?|6M>pP04o&<W9-sy_~Pa>sDT6Yp}%sow*d-+3`;=
zPA8nb`@qu5s;AIOjWJIJ|BZ@<Vi!Z8Ip>;rRrF;0#o;P+7q{ooOYZX?+e78O7t(<*
zdLWi8MUu?%D-GiI^v<ToH8J%K4|eQvZ<Xmghd(F6$9FZyAkQtlyx+fKVV9Y47P!lV
z`ua=7upHC@+tm1|s3VaP5kHQLi;K$*S9{8VemrYZ?kw|+U0fE3XB-d)-H3t3;g^)`
z1Q$wh94u>9q;=~8xX6w}<v54vR-J$`B$tOhQ&+*dw5n{*vle4k-MaEj<ftDHYoD_c
zD@)N!lyQiOKku0z52@$8Pi<*<sywQ3FUQ$;>6w`cuU?%hb{o6iRq9|E35XTC3VWzI
zSmx9U&C*ilG}yASO4Yh|Fa36{Picb`b26VsOk7sh@6^U)$T(!(YNKX~;($Ap{BZ^M
ztZa=v!O_Bo2_*WA=QzaHQV}hk85-NdRkk*$jTBmfb#qL7LET!@kjJ1Czo6jfq;szI
zoG40Oc>-kL2{cMyBAU`0|FzaPaejngqI`HcJtHIj(H{1MJd^T-A3rRq#i{g`GyMDs
zBLwVut4z&!%R`3_X+p9w0Kx9+XKjDW$NRa-$B~~L1e0pEHrH($LfC8|Ahv<vd%PS^
zXW)C-KovSiB6Do%;atb==2&sLg9i_eLoGIPSZzXv90%&16Y`GGcnPb=m1JB_(xB%s
zI+jz($Nin+<;Qy^Sd|u^C%?Mv2-zj$D^&UwF5mlJ|LEceLQ}M`7VL&5v|%w4VsCy~
z+1{T$k=n|3Ys<5|E_m0G#`uzwlIOjS&EMWX)bjDELRA+Pb$%oe62SuS=Qf2G|MHT-
z&z?yIY>e<G`$2{(!-FM=nAh}kSTQyu^bB<@)<VGwEV1>eQ>R*B*>Zb$u0LVrm5pc-
zNX1x&t`_cc`cfh>TeqGsWwX9Ctr{UHA|l-=Jym*SMgdK}x4G7bFPrqAE7aJ=E$?;(
zb}$px3@7XK<yr*Go;_%4s~jUT=Zu9M7OH&`oU~^n)XC14Xt)C9>)Y_;CPeuPo-<QJ
znF8-2R~3?%m;c5-osp68d4l>g5n1QjSkhgWq=3GjDC@*>4iA%sB)0Twl7-duK(QJ`
zuT1ngpIQb3cVXd)0GK**LoN@c_+@1D^NdS7AMZPs+jpD=@GxR@WA8wTUF3~aW$yOa
zI=^)xXpA)R2_Ml%IZaL1MQ;~fVPj*vuC8v^K|g^>`T$25-T7wc(LXz{t}oB_EsQlM
zTfumx{tgbbX;Az=1U+6>+iK6*UZ`qX`(;-7b+M(C?y*a2Kd7tjKRz;_fAshhev6LO
zH!v`F$NHM#+A8b(LBwW5V=@uoPad2pls`=Y68TS>_{2{FDm)|vhaT=8@RRRz5FEnL
zX?^yjx>^XFpiEz7XvC7iGdg$BD<<pJR8=3t=8=c%=u0NH8;d`?7}*n6dF>jwuPQj~
zu{Q1(f8^w-edZ@nTove2G{kL;L_tf>`+l;v1wvXAil@wZ7zfQLjTY3J!R6%Na&;|~
zb?i@j!s~Cu2za4d5~^~avwS9b*b!5_elQP1)<Fxe{1F0L(R2EXzFD<LPqd+Vwm*GM
z@Z`yhl)eJP>(@hm{P<yShBoy(FD6D@CEc;YVdZv(O@D@CB}Ra}k6S^npmxdlT}4di
z;p}<8Y;99h(>$bybcr~G7m)Yc-RWu7?aMb~<K*N#iml$)Gl2nqq)m2w7+?_PJ}&7`
zoT!z#?}6)p>8fhs$C=ktl-4F+uR&%~;xTP(<}qMR+^ncLmki|t<-c#G08~UI16#H9
z^rC#0XGGPjHrFULXall#z*;0E+kI~99o_87L6LszOPuPNX=(2`s9Vp3bHp#mG{&{G
zv>3A+hI2~s-$?<*|F*WGsHCJD)|@Z|QQ|n`h%MYAR4MzXDSJ}yh7BR7pw1q+p!IX4
zK$wJzxr+kB+OCK3s?=RIbAgFs70QK$g<CUX&3$w%T-JU(6IWOV|Mbw@rOI_g)wTte
zpQHDeXNq53bU)0?i-gqmHpPp!BPL*Los{fH@?Upq-y=ft6@65F@U&`N@L>Vy#{<gb
zw_xF<0yZ(adV2SkW`-RW78Y9I)Ih7iyf$gq;$+9`Od$2~6yF&M21#hdh)4iK=Fv(!
z!4@S#_}bw}svB-eQ9AF4H!wCfwuiNHQVl<DcU?oHRb^{c+cw9eke2=hnn+Ve=fx_0
zHURmh9El7G31PgJhr?fq@hyud)nhRxnovs&yssRM(0JhA<FU5*lYu4ta5~xG*V8*P
zA9wZH(Rdg>9{g52pufa7A$rVcf1wqTdLe>AHG)DylJE(s#*G#ILCCQZ#+qXjMNP`$
zKxHdU8agqGs2EN<sE|Y_DEqAi(F~p7*z@iP&8HQ3{x^UB4d63koS<%I+{cesB2!b5
zkbfId43A5XmL9nwDJl62?m(+sl{pSr!fQ<kYF1%?LM24Yd4sSDjsryvp&SzR?lVIJ
zUWz<j5R6M%HyzP6Hs(4z1G_9KH|!oc@1;22sUa@Yrm}^}tNiLc!Ht5@E&=$h3qrYK
z%LW#cH{Wr<KwRn<%M%!4CGniAWqX|-Uc)9-0`^1ZwQ86oU{a<-U;cQoK+4%S+Nt~F
z-arlRg;KwA^=iCuenq_qB$PA3LH!IWwX}Q{91<e=a2KmAv>cKgaS1B+#3afRP9q!R
zcu70r<WZSF;ZO?ZW;6Qf1%tboP#Y5}TN1!}a?^w5a?olvo$2Z~()OvL=^I(AiYl%@
zg1kpxsA+=r_{H6A0h`pot#=ZccMCFHT({`UiEuVN#F!2QsUIQG>15_<EE)2@!qHWq
sp8~0V>zAv`PV8_nTk<D;*qZnZ6ILYT#;YI@mI(E$H?HJgy7S=Q0K4{(VE_OC

literal 0
HcmV?d00001

diff --git a/_images/adb891328fabd0a89c888b81b387960f8a0bbbd4cd66ed19728fc7893d09b3bd.png b/_images/adb891328fabd0a89c888b81b387960f8a0bbbd4cd66ed19728fc7893d09b3bd.png
new file mode 100644
index 0000000000000000000000000000000000000000..7cb376323e9fa5e63e87ac068b9ebecaf44f3dc0
GIT binary patch
literal 31937
zcmeFa2UL~k)-AkEVvPMHiYO`?1*IrOM2ZxR6;L`NNJl_GdJ~WmjhYB*L=Y4NRFJ-r
zrW7fPh*Fi_5s}`Ms?>ijFz1|n|0&<OcieHu|Br8vQxG=qe#`T$HP@VTEq+s!KeTia
z+ad;ou~g>peq{#Zn|21{E6wk|#do|o4zuI`#Ox0ow^y+;ws+FEHDVmqx3@lRWq;b#
zV56gvt(~crr4XMe-_C6tPubgB+llk@Tm1D6d{(w5{2MqoJK!J-tq*J1F&NAB>A&+L
zr6WukjI(?)`}eAz3F>Wh)>1W^nfW-zNaPA+`{p~I$c2{MT{?mn-@N$vmW%)5V{Bd8
z1{!AJ8jm#|Slq0%&`e87t+=CV9DYky^LA>-x%S&@PhRl+byMNzsg~-`!U>}1h1R{P
z9{Lz?sKkM3SKJY_&-Qb0((xs^0^i_N@CyAY?Uwf3mkev+O#xreeSKt)z=FB20zCDW
z&3z>>@9Da^uk^k;CpPz0&NtuSTIl7u@H^bE+1H9Q0opl!p^=e?^RI324+#m`w#uuv
z4R4Xn5m<6Z+(A}fU*FcQHKVMMWk`a-c*}LD-T50kdF#nfHV5|a575RPkNoB8I<b2n
zK3FFe?%@vTn8)xOOf(5TB+&7VySuwj$$+(ohsTYWc?^c%UPs4An>KBV9r{iynBK@Z
zB(|e;bAa8s#s0#dCMJaRaYf5o245DgrO#5-87&%0y}NMkME~)1q~_x?Q@L^lR23CN
zpFR62NiJ$<Lt|rGOUqNq_Y6jkQT)S)il0A!HuhIC6}7`j;Z7CU_cw@zhlg{Eh*b9~
z^W2G6i{aV1Q#Cj^*x3IoeC)lTpmpmdT~sgX2WZQNzl(Kdr+dkzrlfRz8M_3Rlateh
z3m0CMm){V|>D60(vE<I~h-Qx&?FGx(RnLFB^nLq__51P3ZQ=OjL)X~VDx=j{R<3+5
zQM#-oxa0dG+#cmSyPf0@95`_K*IyO!(_+2|<&PgfD*5rK4fn)ncQ>Tj4UUfP%HY6-
zuf@6VSh8>L-o1k#KMH09$>!b~lE_M*&tS0T)#|k6y5o-d%`+(wE72H|F!q|eRe%3@
z|AG&keQnu@_0swJ?!Lt1+v?ICVrs(~@<OLxZ)|k#xRY0R<Hil6gyX)qZkbNm$;1y2
z+sl+Cl}edg*f}|=@8AE+#bxWGy}i8`HEqJN4y#v5T*E@+QFL)hXLtXkk4t$~SSa`X
z_uqHFxqs<c>~a0-agXWG5$O&+4<0@g=o!zwv|JsJKBW|w7MHEn(9p1wot^pg{DPk6
zzpY@_ZOf6ma6#ENF<I~F=b2TjZfjq!43>2Dy?N7kXwkA|kNB(_QWMI`%IrUV&@a9v
zbV$yhuX5jV$&&_oI2r%%+nw9mmGnctVW_9=yR<CIqW;mMB}*!J<DcAna5RudT3Wa8
z=5`eWgL{qxO>S=l@!1tgCJIM`M3rz;>mFN${IFt$-}UQvKM!@BnD{&~VO|<6$-~1_
z_Q;}s=a~<B>!sbbZ~(iuEnkJp$@(1h{{1TZ)Qm+-OW9hh!<nvu>eVv~mn}P{r>7TH
zC@CSa@`oQb$zVa<>`(9E!^uXRi^da5^%gA6;0O|2z+gF9^H3j8KvqUZDMZT6zR{sN
z%BJ-No0x5w`*>Hx5Byt;i;8^n43unb6FH(>M!H=(?_R37cVKa4l**xmgao!-rvs{D
zH4KL|R(T!x@y8z*EnZyS_qdsPh~0UAv)kC6k|43oGC25~D<Vx?R#sLir{4T@;?e1-
z$VSf?C1s!Cc#m57Dvqw2grPnenf3}b`Af^zmn9k%zVGTXb>znVY&QsYdL?Rzr@QCi
z!HYNfw4+&d&g{i1<$WX}AfR~b)~#jNT(S8%IXR<nyNyPNuyV087A;!jd*jA^kLjV1
z^pUC)BX16E=z9C~Je#1wFS#L0Yr-FXm=uY;sC4$0{^3<#!=3k)OM`tfGRmdhU-@tj
zj*Lv5kjdkZ`)>L2$IiMD^6UE=(#pr(Cr115BQ<^fyCuPryfQ9*Db+zb{0zpP@TU@`
z+z4SgYKs<!3!8@}@9Zlq^3`8``RY~2g4a_MW7Vv>XYUG`ltf|!-WIbnj&d98Z;V+Z
zWE^?GYt`V;P<h5cR?NM7n~HA>%QZDMnPGulWtS|NN_@*^UbS-O+mZMs`^0VEpUu9y
z{?7DAgu$}mu5ydIs(9V_pTAx(9akibgCu3eD~De$9=y18t=Y$SdE&04u~Ormn=KmC
z)s{<7J}mFSE{)t7&>=S8Kk+M1UJgzfhaTBG;xb=<`*QWJ-m?=5(qcxRs&zfI14XQ=
z=!9|N=I>u#-&L5DnE1Y@CkE>%T0i$<`e>cGuvL?UjIx<o^lf4DEqJcxGgWaXc8BwY
z1|;w77`0POF{@O~c6SR@kJC)KJmTf;o!q5@`xw}Us1~i8oppPs={<aeQh$H{Z2|pr
za%L2_SJJte6wUKY(oQXXrYqlNx$)H|)3HK+x$P%zo>`$P@_4A(Z?%U8zqEAr^K0KN
zT&Q&T@UQpo-&ebTaA}HFvrehRkoQmf_HoJ}&euJ0PNIFy#>TT@!-fuv4R3#)nYd-I
znO*q2TtPYxL9*xWC3fZG#{($4FjOVlo#mgdv17bF65e2P_hJ~+=Yfp))XU9z>>Gk_
z-HHkg-6*46r<<iT-gADVtct2ChfG0XVbY_tw6rMqsqxE~FY~M_$b0_0vm?agQIqsu
zA9vfbTW9wO_SJ`Y@c8E`588SmyoxrL?%ygOL~*J(CRtBQ+~cNcl5z1))3UHdu|FW2
z?RfTOA>As#9oQ*z!N*d{@rc(J`HH4YSHIi0qeYs}s>GdmeDm71Ynmx$;dBe5qN2v9
zCk94_%N6RqKaN!Enq$+|B^Y8SiHF5!jms{V`V?CC$RY;euTJfq=e(~^CLG^+^5tLp
z>Qdx%J*HB0+(s(p>McWe_V*)*1kDUJZ?#};Qn=IYv-Ydq_wc|MEnS-8Y*CjSRph|#
z+ACNbB&Krc>bj^<9)xnf%|$~&&kR;`N=kiw^<_!Pu|0b{6R}(d2CN*#7)8l?KkwAr
z6XjLTk-5?Im2frJ_T48C=ggX(q|u=qdTZ$XWe*>IjrCLcP=8<M<X~ZX-=q3uvq~QN
zY0R;>vQ(SaWb<miwzf9zO`CqobRDY-5Hwu5dNr5K?cGjHcDLa-J3<D>@mRZ_F4&-o
zMad>?7G@Ice9&!t_|47jC+u^Viip}>3-#HJErFC7`SRuAz=<Ekw{dq()`od3Wp3V7
zqEIE9nmi$^R5filtte(4#9*lJh$tEf=+G`haw%CD@NnKkS$V0MoJ(FBDFvJgTfPb^
zHhmg&awyE;!o}e1*r)HU6t%DDF$Y^k=P{Tk<pX;JOOrI(UrzpfNt)p)L<>5>Ft1-|
zYu6-qV@u0}W|MgW7czGLyc4O}?^kD?G@EN;4C@E7wjtQ1fIFWloYcCE-ISVAjaDms
zBq=d@c7o;Xm!D3h`m!*z?mAgTnUu!#OD(2fVN4*Id&XGLy=BiDdduwVA7d}SEdhlu
zUn-tG`($!zie>fc$X|Z>rtSTE-?WnKnJKHv7<C0HDJeuz1V+ge*RlQ|CZ<1kge+RV
z+#lJ%*!aQXM>x1@*xvKszA{MY%wyF}Hl3LqDn-`jka_j$6>>_Ix}xIm@7}#jcAFUe
zAs^p}MtIt^dGpBg6$+ibwMi_GBykAQ0omIfYPa?Hq@;9qJM~u#wiTwFeDy<|PNpW}
z`F6WI?Ztt#qGgXBtwdrtx%#4IM&B-$RjXF@1pfYesB!V_wCJ-8hTd0*LYc#5a^lW|
zCvQ!S_SW7{PTslw#G@n5&d%LUnHkveCgl+)9$U)F$(18$4v+W5_uO%6dh_XHtG0#|
z&P3KGyl9B$fPg>tS-70PS$okfv)aV)x)k$>$4xGBi&^<9KDOq|X<Grcq_^EXq59ZT
zyV1V<=xtG(dxSV~y0ycBQf}!xgoK1$hEK6t0V=A;Kl_PWOhfbG+er_(Pr*f9>Goas
ze*gV1M}sBOirk+*eY$Aj!Z$}n8p954a8t#u;&!~5>F@9V(@#IG{Qmp9y9b`AXs6r1
z!A+Sx$35XW67iEb$H$h9;`6`#HX7-p>JguI`pe?tqdnE}kIlWyBNXU%UH0}?1yD+H
zt7dAu^rv+UV{70|S&i5I{UdsNPY1FBLTW4fs6J*^MBUh_m-87B+%>Dw4`@}`w2UJY
zNmJZqxbwh-iII_M%d-nU9104h$`gGx3H!{encI_=^K5N*#^bx_+!P+Q@~IYL+PU-R
zE$SpBBvcWP!y_X6)B5YJvbXE%>V6&{?+&!eqRWWeEyB;QKq-+B5$<ihcIo?9H(37i
z7d^Kr;ZA^)M?OAb9#eAT6K7{(0W&yxq`Oj1q``XME&t8GT)I?PU9JA}&p+Rm_Q>i_
zZC!TY(4qQajl`3`opp0->+6dH$m#})bD8{@uYE#-XB{E;-h7FHvRiCLSJnu<Xg_$C
zGgH>}`1#Ctt*t3Wg{$0VrpD3%kL<@9olaQ26>;o6jzE6uZO+fju883uMn*;&x_B~a
zVQljlsmd&?WH%o?4CGLI;nATD4pVK*_%nxnnmlIQ!XG@inR*r}ye`@FMtjMfm>y<^
zypVAbS5*XZA7Na|*Ax923g;IrKL)g=bwc#Z`Q=KKib?RiSCJJotKeG7wllIw3Lu7-
z#&0XOo~~OAFat>V`|rQ+sLuXiVFFlR0R*HLucIB}HhOD(Y#`o`SKSQwWE@$5Q|86Y
z)O#(vVqrEB%b+bs0u<i`=;-JS4h|;T@!}F(;xtqy*H&cjSkm?K`p}fPqrLX}#|^e#
z>5hHT35NMMMaO={;?dI!1-Oe`u~k0OsyRzD(<S9-h*@PcWjmj++9Z=6?4RmbjU?aS
ze}9|)OsR$HC%p~r&L#S00<0@nhJ}WPdX1Vlrl(*xq?nd(0b<bdNw#g1Wnp27GAg|3
z=n<^H8l?obr%xD`aaYkTp{lmEyH3BJ8f%UhHm{1*$#hv}xs<{9ltGvxV<msqr+b#E
zE#C^Cu6bDG{@ZWA-Ij1pl$z)j!up7LE@f$H>Czn)vD5bb;ianu_8@vOxz-@3Cg$Ph
z^5jXj8yFZ=#GMdXx@O0IZf@@JkNF#f&wjEV>8VygP3aS6n17X9TwD`B@(KHT!Ln0>
z?_be_T(&_fHpRTUo0-w?gRF~q#vy|bRJpO`Xly(ZNl(YrRInqWxXs<WC4ElZw|7}Y
zfBJML^K*Nk(P)fjO7z7gYwjU#oG5+3|4Q4bkrVaW(ZF5Bwc)7kv_=7W4uyZ$&SBd0
z#2Ik$*y+=;_=pOo_U=rql&Ut=TXjh$*KF<VIAwqgHIt05;OB&`M*8a20dzDo9Jk+H
z%V4mCxw&#nXeAz()v-)C{QdVG6KcP71iMmQ$J!@?3&ry6_L!N_jdH^l-HC5dsugz|
zPZlafJ)hbuSZcS-OX=AD?=nuBnDB1gxJN@nV{mLtBm>1}P&?wa_?Zu(2;bOb+Dt({
zi8#5$OtB9aWEvtuWHViL4et6!C5~<wx>WFU>o<&4AMI|fYX}XcLp;TRRg6&E?#7A9
zu-IeU>qkF);B`#|;Ij@l40h@|;`WJ367k{w?IXR;(@|QcrX2&qWm%c;`z;-f5SLR|
z77g(&rJ6VLFa7<>`B#nAsfIK$3|4p7Dj?DYum4Ilq;j#p(~;^GLH)c&z{DmfX>`q8
z)r_i^Lk6&Ii@LIyc8wM5=w>R8pHIyMzqUpleuFpaY>;qiYs+$+vnt>z6>r#t95QM#
z$NcgP1k<7mL-bb{6c<<Gy8t1l?hMm|l&83tVx~3)C`Ng%p+VH6#~?@&bONr<2wV9&
zhq>s22?TA;u?_T*FANg6Q0AjduZYi{Hggp7yPQN^20r%)>z30<4F#p8A}F!%%lh#I
zaf2w}a|L=fdmTE@KS?|XbvF?ydaPJa=e7Vb@ctec82BVJvzV_n`gvaN+->>irT6U5
z|M#exKiBgAbHM+)2I-FcW18r1bk~3P9_|fa*uG=Oj+GlW@Pod>D&qO^$Gu`=Vn)oN
z0gsszh)6dOoz9&*M{GhL@Xqn<G`o&yjU;1mH^;24AA(lUPC-1RmuHyl%A&mdeDjWy
zJDOQ%({66lxCg{%4q#)%EPvu`N3;fTx#pwOx0d9-ws_q509=-NNVSgZ(bgAN$^pNV
z?K<S$kTJXKQet96zVLnOVqW^IFV-H=I`RdCFI~HfDqNp1;3*zHK6&DwP;zOvP68^X
zPmlMYY?C6axm6)p6{X^Eo4+p4u3e8BMvVSG2Jw%HB9M1KoxE%N7Vw&AI*-VeCPk=(
z<N*b$6y<#Yt2T*<h{Wk;H!%g}L!{!w?Ap0@>`(>?<P+9b=pRFj;??ykM~-+u%guGb
znfJWBzS-!i-{0U6gGZVWP3R`I%X)m0lG@mTyDZq**`t;2Uo0yxFVq?XvvD&%J|0M8
zq*$c+)aSvr!Qo+Fj`gC}dk|(()A~G+zZ0z>J*B#4%^IQ|9Qqs5l=Fj-r@s2?tJwI(
zd$IEwJR)-+GY3cxuJQ^mQkPk7ZoMB^{L$&!djr`sI@Q`vclxs?EbmCV9`jLERSlb*
zJWDBsZZ{Qv^B1o=HPDoaFV&(9udd&H48gjpI<Mp*g3X?`90^1(RgUFC(q}6omDqNk
zQoQAM@7_I-LHCf)Ym$+lxi)X!2foIL>CsYO^6gT#NQAd&oy_#vd^*sqd-v{LpRj{h
z*fb^<%%9(N+no8PCHIot`f~7Uz!I#r;<ymiT}4CqxC1+c1AtJJ6%}6}m`Jf~)C4I*
zne(=Y6`zb|nr%3$<BCKhxeV!2fhB7$-hJ`})It3t3r-o=(O#u9XHq%1aWWp0A1`%R
zM74Id(+b7QF=pjhfY)!oDFN$Jxf&i8)|tP-qvAtLZe_f#bk7QnYwLGE=<Ga&9~>6<
zm`QzgW2<@jgQMbSKRv8sYR6>sr^^8ZT=w$1!GXN%&|RApanO79T_kfetc3J|tcjKD
z*T>1<5x?~)bM7Nk2l43TeNb^k;JA4&UeKCFnN0MIxpr_!NW7%$D3^$cy3czcO<)u*
z{2Ty6y*bORt)n9Xhpv-2{O<g6DMfH}m6@(i4xO*}szs~5DGQfV3zzj<)O>L6le8qa
zUDRJ~%&JuTr-eS7Y!w#@ctoxfl}D0Lx>~ehE`QRm<@o*bpY!Se-2n67Cg}g?fb=Z>
zKb1K{%f7KgM7n(Kntyh7_E%qj?T5-aC@5%0_2;qdnK;n8uk!N`ftR5@0$$pp+$8tn
z(#uz_sG$moR*z>gwKL4HW0?&r>Dmz^2fwj{L{OJz7jctcm&qx2^As`=o4Ea{TRl4g
z^zGV<l#l|zy==)9u&=jx90l>ghX`5A#`Gx1zB<ip_e}RsEeil|qfkx)>BRq93><}5
zj#`1i>Wli0-?QF8A&wAaigPi0bMFF&X;)b|wsZNL`-f2f8&``;&rBvUv!`A9>K`lM
z^UGgcSvzvgV{+f6<r|Kn_~kG~MPybLdutSA>-b1dy|5)%e?($mKR-?nkC{OWNE)fp
zf8K3*YwUWe;#6?q!oD}c{z++_e9;=IO%=5sg1|PCPfSXJ-k=&<xnjkA@N755kLl<H
zCnhCX=-`SXCudct%c|Vx(jaBbU$CG)+4;<wNL-t&f&#x?<Kt%c6IoeVAeSpa@ZCqc
zDl9Ko@p+Gs^8Wov@LPwVwp>T%A^zJc>+?ZmrSPj_U^?c1^UZNx)^kK(s9OFt8m|>H
z_TIKi?pA!ZbnH_ldQgc*URg8Kt`rB;QCB#O_G-wK-4ZfE^%e?cp*tePz3iIwbmW$!
zw<AIJh}*Rv`MbPwee)r{D2iNK>|d^A+*F@M?|(J740V)N-`#g985~Ah+MQCaj?$2L
zlyE&>{8@_G?o+bszGRtED=vH{&-}lp%lY%?b8~TZ-kZ{VY#CQnbOfBFOmU!yKS!Ka
znldsl(KU@BCaW(l$yLPt=YXQ7j<S%rC@Iz^Ru&eqRAC$uFVCreSrL|w@2~m~>Os&$
zG4jC@QO}?6N0ns;RK+H7<{>JAiYS$><&QwM&`Ui__WL54vM0_%ly_=sj_2j&MQLX^
zx&VyC6%GvzrI?hmx3#y+`T)hJ7#FkA&rxo7*FTP*oSaN{?9=Qy&jG%B1SqK+MDsB$
z)XFS3SJH$aLaCiP70F#cCr^6DoX-<jlH0q9Cj(>;RtXm`uiW(Xw6Q+`0?)km<$ho1
z<DH@f*FWzI7lXVq`%3lsTX28a6BUc4_8|A`<?Is2QD`oU|AO+gmi8`c2kWYI0c1>L
zV<U6#HLzc#wEUsx?%~EeI7|T*t0HdcEcqFw8@&{FW%LV*xKEw|A5<sVsiGhm4yM*O
zgPt;8Z)HscAueb9T2OL5|1E;SVI;rBS684=^xZtPAS0xp4#HD$fZ)E`+FF0DjkCYR
zuue(Z9gqPiNwgvrRAUWx*L-f=&_2HE%NvaFhCpHSo4|0w7Iiz<i`njnaz!cxRy&pb
zX^CI5^4rUXP6Au0(yI*Jd)_xFC|1|~^MR@Hk#Z1mw6CMFH)LgHZPo6~9Xp35@2*}y
zE#3%JgWXUwH6QBz4CQPqgf#7vSg;rLN;PoSDkuOedRxfk>Z<LU9Ltw42MzID!{Lh<
zs=o8m`Lz3ou9*QZ5~savooMK2Uwsb%XBBY<kTBFMzMDIkmQC-ncB#+rR}=?Jp5Q$e
zs|ax4pD`fS=rJ=z7scCyM@%o~VaEk_U@}ypHI3Aogm43_SX#DaNv@y!xpgIO%x;(A
zNbq*r8gm>n!@Ba}MDpY8i?$owKiwtO0D|chs2-oND3yqA>`-g>3v<7o!}7AFM=3%f
zgo*G#KnbvqXWKSk4iqP5KyoEafKYm+ZW5bRts)9_Aag9Z|H+Vi=BIaFRin5Or-nP<
z$Zx0B$5s3;&uhI-N7V@{KNK>Hqj6`fgL0oXK$Uf9y&|&8d~9&AtgAfYjxyySYeA<b
z=ZJk%+gEu}aF2}Ss$K~e<L$;v{6<&2y(^$5c%|@br>hDI3YJ9Do_Ht+h7w4$*F`N(
zv$EF~$3HE4_C*7#0Kb5M$Rv}}0)ZuflBb@Yn@_}&aY<0uWiWmWPXoHUm-yrW^FzUv
zYajm}-!vrrc9n@_Cm}h}n^c$Wk<G!qZQGF*TaGCH^wYWW#j#5e{y}So#>Q^j;)=A!
zht<5`ud5m7=@$l`sIM_Y9c3KyKsC}@e4QfQjP}pf+0)^unWEP<3*%`9FtwgG%*V1+
z!?R8@qeZjMcJRH7!$6ZZFlQC^-UggqPOlGs(rc_P;8cE8qzkmF<MKK%N$Ynz#x@+F
z-x@uhU~qvJ7s!4}D<Bho7I*58h1kr?&tKX*i1!qntd?wtbVgiVWu#Irb8mgJ>HQE0
z=+VwACCAutoT~=YZ`pX&nH6A#Xl0SwPLwV&cL2}+<`RFsPV8E?wQJ4CGIztsk(o;=
zUcNld&IFZ_MuhyGvdPawBNZwNU0~uNfd5<@j>E4s#1(vayZ6$9Wy_a4ouTFWR(ZX|
z8AZE}l1fPSetv%8NX!A+kj(b{hEPLwLpN0<p0*_MNKFl^(B_Cyk0%)L!w)}@az1Mh
zffEP6ku@ugq&9@%aYHE>|I~VoG9n;^9L3Sor?)*OipgJc)~ceaiORGL!dg6Ht`4#(
z)k(FSctg#VSv>An1>oU;TYih|CwtOT=Ug$0Ivz{gAdcUM+7Ru~Qzh=$8^F<(yIi^g
za;)All$s19Tdsf!d^*d94e?a3fGxIGJ4zR_54$4_u&V&T41&4RY&t^>2kp2c4VUWa
zQ@g(CXo!?H-FJL^iqn7&=awzqU^ShLEa(W@TjYZxAu)Gmjy0)(^@{C-6`>N3=V<H_
zAUJyjhncAX4`IaPzS^WiP(~^z2D0OUMe6-haB&Pru)NnS)7owt^v#<$ub`+X_R~3h
zyI0Ri!0Bzyyhf*Hx2mzPzg?n;=LS23mhx)+R4*Rl2Jl$?@d;cdd^}t$c<|6uMKjK)
zq42{R?wg74Y~P}wpm0ab?gi%s`lL~|9VdUK+6=W+A=D&DGAJH{4_;%ByTtDDa&}qD
zzHd3)L82ZGk&-3t)E}gCre!|ipL!kFKH&~E%1$-<MFE0vODKaz1!d|`xc%`<tW8AL
zD%|(ej&#pC6M-&k%E5GB1u!sLZk%wct-w#7J9fvb|0-WHLVwW1N=H5~&vKg}_zKAO
zs=9j2=LN}pvpmGZ3GcM`@88SCQ2@2(#&rpsRlMxofq(THj7heK4gIDIE<a%u@;++4
z-Eoxd-Ws@!_4mDAw-cfl1Yv9a1Ni3EgxvuMC8cDqK;8eSCJ~N-&J8o4E@e#)%0;ZA
z3-oPA2!0KQfZ5yI>y-tib(S*Ox;4Ky5hoOjrR^|2+~xA_x2>nyr>*xwhaY}_L!ld*
zUOd#CmWr?NE>EA;7w<xxD49LWg5rKXOBBQ|6Mc{6wB2#bI=do59A%a8aXERhnkfY>
z4j}&9&dK5%1^NAY{Rk{PTwGiZ&hGA6fIVHl_wW->uddg3&)0I|ORXO=1_afij#<FR
zP|>zl#8MTOg`nBMjUQWwBk%MyW<18Sjc9hCh^t8iDwdoYF7GanxTfOuNBUBA)GZJ<
zE?VvOF^`o3)wj#mMZ()4>w^j<&UvVv#9+f0-ZmO{aZtQ+{GRvgm6Vn$NKb#d|KjTU
z7y#ND7wNQ|oIOj|i7N6x`EU*}O6%AcxM9tS`+XzK)02@oHChka{`T~z*5%+QLPIxd
zY+I#XIlG|3Lqqo<aZ`N%cFF3E($dm|wt%Dn)`c^mEqNNOThz{1ljWA-{<)1+Mj6FQ
zWwNPC#H#r?CDC{AQ>cN!Ag>Vg>n=)fFtzEpbaCRJrZ2qL82clyD|+vHswFFX8KH`l
z?ll*Gl)>608wm8xaF5B>4Sd`Pb_}k<U%%f>>jPW)C`ymyM`MUt`z|gKOu&NkEUTST
ztpcLt-nHu(sE_f^``414hm0+no@h`yfAZwX%C&1_@P@R+V>nvqe)Fo>H_*+uW7P(Z
z0^fAkBp7Z{!<hrBl?J$u)|xo<#63pwbzs++Z$`^Ss74+hBmIphN~I=Z34{2rB>vs^
z0oXN|(DLf8!L{;r0iK0XVZTuOu{h1}h+voK=L;l{Z(AjaKo7#oPsM8@#@l-d_{YNL
zW?k@ikpC6s<*#b@uwA?h#ZVhoBBYzN;zangVt}}!p`rkzj37|PgoftKKY@>gy9zFW
zoetfqJ+5APWRbhFL0ZSg#-^PGF<9|ioc?ZyZeM2RXq~eErC)yO1QeI&j^;r4CIJ{q
zB%VV&zy*<>&=RK)RAY^r{r0l~>^<pD15AXmIPHvMrlzLpV@<9gZ&;4r-ua3p5c`M0
zdS;|jy%Jgyw)$a{(%?#%Dv}X^wV}BY0IY4pyL?~v>oLJDk+o|7{{6odRzv+0cjy+4
zdzejPHYlMK{oHTK5#=+CbwTh9c8%y~&z{L@I|16?-eGikmt{lb>(`2bMzl{*H;03@
zk_QbNM?#n+1b3IgS6fFAG*)FCB9z0Y0KyZnEl_IulOZh<!WOu_pcc=bJzK;_s>Xgq
ze!{dsKIFK7+WXwN7HE?+>qggsOnH7qAK<45>>G2gtuoM`uR~cN?GlQdU#gC!B@<gA
z)U^BoHwQ=9bDO|j7G`!^^dK~kyxzCm6wxyM<BPR&>qzK@x>q#@xZc(XqXR?h9%xJm
zw&pNdfs9bcDW&Bb1Y@J|_%uFkz~UQ0R_VI9*79}S<EH3<fYsQJ6&0#PG^d08B&3iQ
z_VORp&<>gT?5<P~D#5NGw|;EEzeDGYZdK}ytqN7YEL_pMorqUHRXjyR)+%m8!BRvS
zmRJ3kq|dmzn!`@!(sF?n4!;MKFbRtQEK>eNvUycsUw?P`hCfQ`#tf(3Pn3L;&wMmM
z)mhfQC8uP^->Jkl<0kl|9Fiwpy2AbWKL4mQSC%JEc#Fw^F0QztAQiPW<ZK!D2C07`
z_A0&OjGmQC`<k<9kL>D$nMDbFh99aDtW6-*nr$<v4>+PKY&Z#kftEF@Lc!sAISI=u
z?s&pav}Q<-MD(uRrXVYuXufW)lonfABz6Mk49Eq1b@6~ENbVI7&MQFu%XFN7j8v6!
zx;F8-1LD*D1?*>X9>n2kyG)H#SKdFgyeE}HseF*Aex|A;ao}TP>PU=yM&-D2#h*bh
zRYoXmNGim?tbdJq8kG5W!YcrdBC^KC<r|o&Y&Ak&y7blvf@tjqXZjkPIxg+^A4**i
zqaHzO<dk{b=om<D9@qY~L;Ts3iKyYo=)@~1c-=}Cn~di=c>VxwAPmpk-mLtf+JDR4
zR`&~{W+jVBT1G|;uAL3AzCUwJM-qi2vj#;3y>h;AP=4Bf&lq_m72-4f7()v>;IDu!
zlH1`kz+Hhb-`|SqIol0a;r(k;W<yf2djh=?{Y%j+PzAM1&Vd@1qATmf%KGQ&y7r~m
zvQobD%|~FDJspB9ge`ykX(hf_lh4$%1dqIHK*Xvk_T0IzAbczO3>Wfezr+=cKUc+j
z-r8CtZJYPjBuK2oP0+dtG>oWgG&N)%pScCuDsyIfg77K_l>@{|z+yUZn+KQSY5NIx
zlDu=XkBaMh?pQz|LQdAy=n2~QkY%c2q;LRxX9}iAe*0hWd8q+wt)9GTZ&`j(p9>O6
z_RMrfllz3l3SL|U*PYy_TDV>AFjN@y(T@=Q+GfE4<Ir$#ZTXe}J3BiStUDm#ND%CQ
z`z=Hkg6KzY?Kl7eEQ!Mu@rfK9l^IS}5v)}BY88?H*O6k}GCR?LKtaQc1P|wZ{VkU?
zXuyr^>|`Q?r{vx6EX47$fm2vh^Y*MK1#waVtQ%_C*I`Ib4A~BA0d+_xl=xlR{M3^@
zX53|zGhIfYK?z5&&L;j`0q-B`hXx1XMAi86I9l}j&%sm#t9IAT6PDLerY^~Sm^Mp`
zyfq`PgacNnQ?LyI8>H~@ZrfG?VjykS5q?^1UC|W$Q$)T2lkosxP~`_;NYNREhp<t>
zO7#l5yp=;Jx8=k=UNm^G5qjU>Z>inh)fI*0Y({9o4=1O%1#AJuJ5m-P%do6iVQ4V`
z%zg0cIvH}5doHp=`6Q!^0?XIeHw<SHs6|EV)VgKu^mxe@)zZ?ks}EL_*ASn(lb_*(
z8Lp^v3VI1=tZTOxa2g*rMX8)}+!e-KK!-W}_BN7e3bL0%W+6{iQg2GNj!+a24qt|g
zBp>F6vmbsA_Lz2->99&Z0qx3P*Ifh2)z;-_92$@kp~<Pi<`NXCWY;lE<e&ZUD*EWJ
zPVagU_$5UxTVO}q-N4W=#isQj5v&RlAAfP|Z-@eNn8H?KM&g1PT;<3al(&us2<#;@
zMDnTYc;Zw}foQ&^JzMTItkb?Lb7RXmSTpifjP%y3fVDUV`Hbv8SmvcH!q__uBg)Ds
zmUv|bKYVx%a+Ex;WT7B~&#Ovo8Q-E7p>{Ha{QB#6SJsL!pBth2c9hk}FMDRf9c!E!
zuLTlrbf7sN*jCPm0Hu%|Z4Ezcjgu$CP$sQhx9)WLG%86RsFT1<^1M{>KRg7Z<1lIz
zt}R;*0>uz7_Q<N485YKY<x=pa0<snWw+Ui5VH9}B+0}J-IAPhG@8dH^Z`<11a>x+-
z03=1pU-;B(&#j4HF+2-zBDEsdbKdb-)FV_XaUUnD=??<k44W(+m@Y_XBaWhY6A~}A
z8GzKjVLzQ%g-jTr1q)$L9x6?X+Qb88pM~0SPJ951Jv;C}+8$FQY?3a?L%b9;3*Pqk
zGwUrgjzTwvXJRMWMi?3RRV*P{AKKlSKn2JZP8w8Mcy1;OFxV-Gv}L`@_)c$od*>n;
zrPQE9B#h!QQ?>Nv0-;(~biTPyQJWeicJHol2S~LRvlR`1>n&szpVsl%DI``U(8pia
z>947&q6C0wr9tsk%XD!dzZ6pGZ23Ni&{`rAnV`&`Z#_X?Q}C5`vt^IxX1)eTd_d?9
z8_|Hm!b0AU%2hxvRIqX%z&c=D1!$bBbwrC=<TSANjmfT)S7%Zba2F})%XupizRvmi
z>&gd5*MfvO;xpWGX+!s=4ekPI1lN7Uz&|0xR))*5(y4-#^a*3(J$4E;#Q12v)t%V~
zV=d^lYI_;7(|yoI1m$NPQ(%>VM`g&r`-%mtcV)+iHFh{iB?1LG2Nk3~?+1Aq-d!CZ
z4=}BPlHBRQ6`cB>TmOa^SQa9<RR(su^SF+VUQK#dw*QO?P#5sOb7wmY2|Xc&ws#3*
zDJsFbm`tjE+==Q3Q@B<|RaIXxx@%g$Xg}3LsPhBNdiz!nG+}{3!pa^)TGC!<9Jr&y
zK?k_`<Gzchp8xv&ZIr<H!PO1YOk`<OFoiDdw@m(ku=DM}KdD|}6XuY?&apM!OXqo?
z@Cv{SDYu~h$<&6xwG;6{a`Hp2u|LJmO>-6nRY#!GMc;j=c<k6J|3Tcq3;_@8D<GIm
zq2+?ARRW^H{&$sWwF#mlue&8(<M5)PRC?z0*d-D3s-pfZ`b41yu&yrPCrPUTIiOLm
z0Pg{=`Zx&1T?unUjl+u|0BBsxh?K2S8ry(izDN}Il~U1$AmYzm6y9f#w_cMbc^-(&
z_DZ1*&gZJ__!>KygOaD6fdOcrv3pF~ki70g!U?5HM94u-UqC*F=$75PPh8Z0IoBcu
zpIDU<Ld!T3iPr@O{M>(W#<?`q9>-_S!dcJ-prxv%6_gSOdkC6-UQ<*6!(HBWfZ`zM
z!X-<9ZLa4Tya9==emV_b07D;%1a0*89RS8OISm1TwpFpOSwjkj*xWW{$CE%9N5fDO
zu~&#;$NimMT%rL3@OXt1e!>l-96|O<xa-ge@jyaS5^-s~k}RMrR<zFL?lOC*=4GEx
z#3Ni!+#B16f-W^kbX^fq|B^1lim(ifEQ}@b5BGGI8<~X&zVAsB0YUb@z5N09hedN%
zW<?fjdmP<>6-b$|plU2ww(d0)7)m@c%6QbmdN~Y${Nk?pvzMNRc<37(%*6U^w9Z|M
zB7Db^`^TkGVIn%N;6b3{3e0^P#DQNq3cs&|<8~a}vyn{Yp`jalLa@wv0&VBpQMujZ
z+_9dlAtWav{gL6Amxo6d76N<6*_|lp&|Sg(u@pz}y8xyeEgd5vGn0p|NsUKhkDkih
z77AtdwzvZiIoB9G&%u!Q^}FV;cS?PTB<(qf;N*((e7MPVpsQr}Kn19wQx;ZGN`Z{}
zD&EnVl{KK9%5kKX9k#N!wr$Aj00xa`TCe2QWj=Xgj}#xVl86eeBj}m=Lf(iRQilQb
zA5iFcU+O!GS^t(Zr;p~nifj6Mxx_|@7ewxmWe#=n%2lf#h%}wqhvZ{78<6nc9G3jM
zdQ31aPzKdeM^gT7XwZTkol8`-Ms0*bE?(*!m-+=eT3YTd*l<=6Ww##(@QL3nV~(G4
zEdZxZ9+}y!9;K4cGD5%PSXff>C?*8Dw-?N>bDF|K{oI|Xy=Jprpa_s)<>{NWr%m(d
zlZ@upKet1g{%R}$Xd1CO(fEFED{f!Qyye#<27gT{Hb@ZY!n^leH~~syq!f4<^*abV
zvN0WrU4)C00*Ju|wm(1wwr8%meW%_~Q)8nx-k^+_D8qtZuPMEIN&2udmPf(aG+6*G
zn3CHD2I5hBb8>KSf!AX?EX{q5I*$))5YeZhF3X~R*9aUsDD<HUE5Xpzbf$GFs|B4p
zULR)ggn~GT(zVJQxv8w8!YKn0#N|`VC93u#R*k9uI}T)wy%zQzVqDNQMJyW>`bub9
zZOHI|n;8Z|b05W!Y5T67b~;MADA>Hr;P&MJcj&H+O_*%m^3zCHd4AV{2arUe+}AzS
zKM#ENql^pI>`GSF2z6aI^it`EGcz1|j!`@#q7d+@I1xN_bGsYv5z!EUKt#iP%0|at
z+KUg?k_U<nKJ#wj71*9iCC7q}PJk~a^)Hnp04(+$6rgc;gE$<z$__yMC8q(lk=i>K
zm_FGA^gL1LK0pDTA;k+i9Rv<nk^;zexT9kSl9H18*x;pQlu+RjI7ZYC3e!j`pp&<9
za@Gp7&o+WyUze4yh2jEbW0OH2No@Fs%H{Elf5%MpjRyfSb|ctV;eHnOiu@tr<6$~p
zA-$|)yeDWI%(ryV<HwIDIJ$nJDu6txYy#;QiQB!aPkQphd8*}J9|s5eMvgyI)i`AF
zSb|*zqC^U$8z8nk=JamIUPUk>MDjN})>{~jk`{zA!PG6}&Yj{g<c^$gVAindJ~PKs
z08nMLUfoTcu^GHnxNyI)p|OC8=9%e;g)6q40`TAER=DF|5f|N@(IgE`Pfeh!<WzYR
zxBw~&K%!PX`oc{ja#n(N)Has%dEeH?$<H6}H42pM*@G~lKwYTVB1FdEeHsH7db#FU
z3k`_F>olICi6KT8x*t+Xp;|>V1a}zp4%VgG+@Cd^5pW`E4x2mq`6cPFh=?BWzz<E$
z(Z56+Wu)`XzU$Yo`-GvWh(^9AAK36<A-{i2)}NH}Ha47*mUe)&Xz67ZUW&2Q1<~D{
zolS;rR6e_nPXATqx>Oo~(9Ywe--awk9v9P>zyEj}H7eTjzL?BQ*$M~(0^^OpJ-^(3
zs91!T*t4WAvudWr(l*E5n!7k?47M6IUyistkoS1eqUhA6NIHAc2-0wK%fMThY*rE3
zl1x!ArxH7%Xa^+7r5mKQaAZgxD(EX1ZV$B5^zZ2Cpx#l0-4xd%@+4A4P7Q%1{8fzt
z4FJUME7>;7jJ<|Y0W~QgxA{<eF|}u<SU?q-gG^fxSP$4}Q9@alH~BOTR?@f$J6QbW
z*ZRZj%~;p=a`I``+7}do{G$M1J8{QfhsoSP)56nRw!qP4)a;8s$@bRP``juI4*NVf
za%&SBc5d(@>poNnpDmIZiaxt6>W<H>gSW>`6k<|NTS>njAHY7-y}=c~Pp?@a3DHqw
z+f8NvwHJS!%ghlgff4AX^$OznECG^)_Dgt$&{cq3z1{y$Z}_jFxZI19KVD3G2|tuP
z48JO*2<SbAZrOTIzq%vkRyQssB&34E%-9#7WUVyobcjr*6c5LSX7dboNR?Igl(Aa~
z45esqxTVB~3pk*yETCSMyOEBqF0|x+(HOq)7lJ%e{SO0-SOn?<dc9p_>?FX7rkEjj
zG@{7!f4RI=&6@Q^Fz4p`5vpUf4H90!_4#p7iA=QIh+JEClLr>ZTiaPLgY?w!4Yatc
z;vNuhfhSH;I>wA{XMsJ$o>N#ORbyaI-+;-wOsO_?9r!_9vnC*L*|Q6ag{h+gZUr?5
zdcdq8AWzToFm3IxRWu9@4b_s2k5YmspDe`W-sp5XH$nin8%>IUab!T~18vu#B@<iJ
z(&7X>p}gi;IE>3{u+|&hz=H|19>X(Glma(RD3XJ;%t!T>D#wo9M8IxOd`1UM1Sy%<
zK83<W4ej-_S`djYMC3saGWG?&w^mx#XlR*tnS~JbPS`ytRU#g}w<X0R;N3IUeAKb;
zAOsD=sUL&P;1dRt*zCjGr)I#58k{%_-&bTnv+6*ojt1wBp0{c=aKOs>BN|y=_>HJ7
z`fKfQ6NZ3dK76j~S3vVPbIsZKlWJoaNTIe9mr#!1E&Llpcz&Nr(UkBnix)3eL45yA
zkdhI^1^ABb>6$P~o%^6|cHG^B>-DnhjEcq2bJ`-+<8_F=^YQVqAMR8l<btYD8BPNT
zi57FZrfsJ;@+2PoPQw>VuCPmLk~RynmE%=z?!JW!7ZTHTgo&jQdU9_04o4r0ize?`
z{FA}UAT9W1;Pne89s?697>w}Q)`c9F`w(r&MORDTtjX(lErR#$2!w^IvBj&ly@n?v
zZa_##h=rB4qoEsb!ON4^7o-E3W&q=QCeU`$JPr&KI{-p0`E>1$j$^oG^wPSE{kkNV
zYe;hL-;4<`2DHrZvS$C=q=;pbek0N|pReJJd1SE2{t$l;`xH-g%)OoA3n8-~#M~P+
z>&Fg|X#q)e<sWVsR4&WfXMI6m_L8+j3!!3qc`ob~H?%~nv*Yqlb>{JY8Kh+6_0~*Z
zUEncDqQEiqL?46Bjg}}b8Df$^%rU9Z&;IGlTNj<gTfyx0gwSe+udxem2z8XZoH8)C
zSD^QttXkEoMDgLJr4J0z;LEMD6A<9<=vLwZ=cHbGQxpO`Y$PK9M6BkZRhy||m_zLJ
z<1YLdD>xi77B7+m-1U_(kw8(}1n?N?G|)81lHskX?`j;brDan}`d73m-s#DE9b6R@
zkr5=)9zS)RH^}6ivn@}+$w4|)ir{4(PEaBA%hC`s|MJY3Y|EPeaFgZCEg*XL|3$a#
zKk0L=NnwI;1pkYM)nO2`{xuyy*QzKjQB$I2?T$KH4(O$LPIkpV>6LJdgT$zcOtfQy
z1NR%nbO{$_54=(%;q@agAb>B`x#*-I+iMqOEefd)lb=5BsBT0{AQIs{uq*y`CXnq(
zh5^lWM;p8Wy%g`^C|{Z!$N`%Y2YU*Vd^yala@zc$IIzWEC!3aoI#4zU0lMl+>j*AK
zd9+bPWWw>#f8T@pXZ=ho7)cC|ogTju{O^5C6V&TqOCDw+m-On8q0yiJueMCIRnB%X
zRQES#6bg@i0iZ|kh^JIY!DXR_5(V0Q=j$5!2Lk$t1GbuNC1`!m!o_odTB2z315ljl
z>(ISMqrY9gtc=cnQkcqh5a==KLz!Pm8(D*xRV4qwQ7O0aNVFBp%F9<3`0=K=O*pz?
zT!l}Gbf%gQGp(Hs?5sS<P%fL({QUeN%xV)Z;G83m%-L5@{__^avd?ehAZCLh-)3`1
z(C|g)&kNY+z@v`GlmmfBpJePWq5{*;f~QM|zCvD2(8%#m0;!b7OUw6P%3kCX^RfR&
z!q<a8gs-UMpGMK_a9ny|z@+ZW-YQY$W}n_D1AL}pZ=Vcm91%By78Nwp6u#2Z(rTJg
z5*TQ1;5T;~o^CvFGy70GZgGfoc10U_w3MdJ%$=+!nqYtN8vSzMpu1%>3uN}CCG(&6
zCjC$A0NuKOJkIEEhT2&OOmF<Z7!3a~=>8vQ3*<Q};Ex_<aMT!D!;8@@Kpfyv6U?>I
z0RWAXd|gAO()^Fk!sAMC0w!mcb?ai`nck}Y#VJ}dD3HN$g)xM8`}U)S{`}}~&H8pZ
zdo0Z2X48|OS+$+u^aCZs$p_)IdM8q4=3oIYxxT663)P}nnhV`wJd9&#ss;CvV&A1~
zQS)%`cFpA9XM5VICWwj8ihlU;q4Hk?Froz}E>#%UqJ@a$<sN9Ps<4oyWFn?BYf1RT
z>+Ou{WjT%Nf8>nN?fx^n@Vf!dUY7|fnrc4KFN7hnP2)Bny6USze8YdUH{id-WfTMR
z&_9iNAu`|vqsi!Kbn;{;+#{9f_LE)j^mk#p;ITeVIyF{c&gxL1X9;f{Zk|yV{8QS@
z1Xg~XSn3+bEe#*#hGz~pyXoxEQHQ=dlKslg&0kEO7JM09F+z4KP^vvW1|~I#8lkp&
zbFPi3v4FLZs?b0N`T=IY3vk*%(b&}otA4@Dms}rzP@8Q5`v-yhQIj1LA-}2(dQW=$
zZF5+pT9nPf!}$37tKV`!ff72X|K(GjYW**}75;gvnM!{jz&^eB9w;{$@<Dk+MlS#T
z$9=v&KKC|wOe)cwC@4y?3MVDu-GuYr&&Owz40?H$KyaPb@lnliv^a3^psWv?!^KHg
z+<egcHD(&580Ie{dn7e<1I!oI9-sRhEf$P!*!u4yc+cxp(ohLBAf?7&VN**nHGlA^
zMT@$wm^&JS_x~kj{HYxIo7?!3tlf)0a2w~3REpE<|DSQ_f6^B{+u7-A^u<4T%AULx
z2&fnWlnmZANp7Cv9~1fb$o2Fe4^RVu#<56q!N|R(=oKMDYo+l#Yr*A7b4>-IJ9gW5
z{!YyVz;3e<8(bWiF?fu2pw2f#e*)|JTud;5G*W@+f$?-<0C(Jif=cLGqd^}j#NWfI
zP2wIYr5K=5g|eCspl-Q|!P+ug`C=nK1#g41p$!a(*qPqLRDr5X3<gn)oI3KiZ{6Ys
zXN0yY8D$h_<X9u>I$9;-Di9SMHUbdEUbK_4L^D_*R*)l+DF3X9{@s9m2Yu+^aKR`+
zW+PCJmR)6~jCp&+zNC6Zd7QLnx_uOAG76*yg<pUDb)j%S&esoS3`}M6tu2MC8~sXf
z(UM$0{kha*mcs<=9_%)%f!aM?D`a`7fi*Yp>@&Q|wavFG_Ig=aGQW@tlm>C}I_`aA
zAU1T*e!PHTFZbCcUC4J5J_>hQyfHLru<|eAgax<BM9;%cG^xQZ5QE8XnCTM9?$Y^V
zM8&r`pQ*L<AM^#T%cv4wvJb>S2JV8?%%okQ5$19zA|ZlWCn23u1lj@Zp3b${@MMN@
zL|JNsLNv``tjWE2$7-f)Ys8Wn2wub{j=%HbCx;Dro{XJ=|It6K2KNownaIkBGJ2~F
zycgh+iqThV(bt^rU>;F1KSvmtf)!E_xGgjI%rr6N<ygE<92Rd~N<aLZSb3LII^MsJ
z1nVCS#~4`@A-s_hg!-hh!tP|wmfM~M+qh-MtFy!IABsD=ltY7~546!xq1@Yc$LWx!
zi~7gwWhX>T=7xzmKwl#V;2X$sP^yi!`=RWj2BV%~aZJmgGk|xxzwGf+Pwsy^EvQiI
z4=1N_X|VR`T7+{N?nkZ?Y9OSw32Gi?sMR<c475{-z+re6Jb0+cCiv61T<R7XVGaks
zokz>M4zY_h5AdTh#qQvc*)^|Tcf&VIx3M2&lmRDFim`pD6B(ijT$QKC^XF!fRiU<w
zvyc|+IwHkjDxv=nB>*?T8Sv1<M}JdD+@g9wW18i7&LbZ*7XIb!Ry7ar0;WX)0d=A0
z0v&<g<VA)j6YToq3L7vvzIX0e3?YT?Y0H;bz9*_GHbG3KKmLIXkFWhuf}!S4n|suo
z1OFzeazs1g%xG>6wf~UUW~|vG9%@mYu{S(OnvfyhppzZi?~fQrrtb3L>4HkMChnMV
z8>ce&cc{=v&18>ugAvgMZ{fGdn3t*wpa)kVpycWDc4&i8o#9N&tQevBV&LlzBB*S$
zNrUMc<PQm2)ar_6OWL7XpWD|upYfg6@&@qZ-MBGl9O464^F<(>w~5c_nx<_Z)i)oI
zsoNHHBTNY%dNQq?u*y_J-_>g@5KbA${KN}^*JRQJCm2<d*W}_8sMQHbAOiPGa<s-U
z9imDy+$$M!!)Wq^Au0-njGh;3ttv3w3{$K4{R|D~sjl?WpX`%pShN#c*lU{eI{IIs
zevyTbX229DLY0Qm>F)EbMcZ_q94C4f9ky^O@RD1694=t{jyq1WJ`@pfCwVZ<h7b%4
z%^2~fhM^EAu#LGKH9yQpMZ7EG2NTR#fVwv~=f&wHs(Q~D)j7XofV7q|YGp1p+riHZ
zq_m2n)i8I3$^16QsOY-0PFKVQHP3%luK&QV<QGQZa%Or8W}sx#0XX}iR>dRkq7>DI
z->VEpl~|G1AVhcSFvf77pCAeI{<UC#d>uQ1#uefuCPtOdq}ul$Pnal@@!58Bs1RPa
zPjw7c%?IDw0X<d)>fH>-!v2q3tTG(~dpp|Ojfb9BEgs-+I5`KZ(lX?%p4d!B#jf(Q
z5Or#4_Em`p9$3I|jQ*Fi2;jAl@xdMc>okIyU%Sv-So4H~NFTC_ax_Bq#AvcGn(m3m
zN+AuDGmK`6TV3UqW+_Q6$v=;Ka~)`Eub3ZNwqwLw>`+mlhyp!K1YsH(3Q>(V)!)wt
z>SGte11HZ9Mm~i?IW0s;fYN@Sa3ehA>ZfNvC3Htm<B9Itp-C0Z^0KhkuZR5OZ6B=j
zv=ta>S+2gwvI!;+h&+E9w1IJvvuTK-&h|G(_Wxih`M(9>06J2CSd9jXf|8P5Y4AxX
zYG?(BXayX4JNTT&VxZ*}19XE{1Ywr251dl^ww$Om62;IgfX?tDzOTb)OPhkiVCUex
zx8`+n$KYUW&A(QNbh^qbuh*7`wg_l2`}Z%uN2wdAy{tD!FeXUU(r-n6++fs8L*vyK
z;dsHgU4gVT8>j1qm6bb6TL)s^)oguKvmq}*;j&>!je*BXr<C3m7+xGC*zpZyY7~ef
z8B0`fK;1VpD%!t^8q?uy-=(Tau{acos`L*!r4$c+nur!1{cZc`A)DSCUyi4}bmDoF
zGrMl-muK`R<abH#U0Yi?2@rVoD(h{%s?qk`X7*&4=Pyy`bszPbJDGeb?yGJFUQ<fz
zCc;G7r{^9whAIiQfBAC7za=tuk+6<UT~J?722)k^$=;em^%D)9hPv1wal7;;<l6(r
z{V<V*6o8oJ0x42k@pEM{OFjn68IlznIfomL5p?RR!Vh5IW~`+a<W>Z+cce(DlqR~M
zv4vy`GMIimyP?DOeJVz8^nmwNfzD5JIWV(W2RvzJn4pqWiIgR^07y@NTn<W}TU7Ko
z^^M{bTDyzka_wy9N7t(Ckt5_gfK`m<-*(~mAMwSXc+4cHr8*|{#)#x`2W3h#e`(Gv
zY1)cQDucN@8UpG|Tox&3xI(SWHS%pQr7*J2@V6NS`+=s$x_p5pQytPXN;otnKA8Mq
z`F*@;*X+Sa$f3Ci$f>vw7!GGX|MUerF}n~L$$DOG4N-;q4)iFD(9#9%xf0Ki*UXOZ
zR+7g-f{19MpgAyPWu$?El=+`O2*_tlmx5hh3Uj6*uJHu~<tuR0t%m9G1;oi?1~ZV!
z)}T?~1uRhB0MTr)mI?i|Z{HQTiDQp9`}(dV@%kWunD_Ua52l`xWAZUYEddb^!lB}g
zS&wUAw-iAGsou5|kBVv@Tj?IKsA9p>>%G9LBY;O|x=kbTxhMvOeMHAu=?C;kL36)y
zxh|GB_<nxhZ(D-}(B9&WHkX1LbX0u=?pX^M{Q?lMP;$$<j?1l8Ddy^iNMIlwc6$S8
zut9S@2nza2P*Bk2x@~Xot(&SXEi4p*lSKb{UfvqALD<04v{_87wg!B9N+}w#z2VaC
zF$ZM4$YBU2gC$w5t>f~PQmw~Wx<N<-x=9WqcY33XuBiriSr7;;x4F4l6h1**4yTQM
z$RrejT{8->)#q9}If(#T8}<zW#<HOi@&#OGmZ$3<6{jMndt(AzD>UXWAMp`W7FUCJ
z7QiEu+~<=3A^39b>a8}TQm=}NcH&7HoQ13X1yJA><f}F0b$^3Lv8W+>&@Qj^B|Q}k
ze^@&)Hh?jNHTqB$R-@JI1ulu_R16R1e#ctEYPwla@XdG@%<SL6RkuYUSj%7rEZTjT
z8FpEKVA_dF%e>qXO3{5hu@`7{x`LwPFGXUvc(2yOBx?!`RU$k;moq;W%~da;Dp{3B
zKrA|lCZQF)+38{~4YVX?rpK~(S$Ifqxq5YBe%ia#sYaZ}5}6l3Z398~=54heHt~RF
zaS({p27}Wwqzz%(JcvE$4P&<)v$|3%L7Hb`K*wa@21LMI7#)uTz#pB!u*;L)Yeh<&
zFJ!z9pVn~)m|KcQg&tO6R73{>!ao-9qI>kDu`wI1RM1dCC!Q=8b@iC6B%RAhprgRe
zb}yRceth)_n3+FKM?L1(sq21zMu&HxM$3?6j@jmg$NoMmiK913*`H54)&e26yDZ!b
zX;J;1IPF<PtJsKWcKGwiLyMVur^iu?QiK04!(1^fhlW+)$52Lf0_!WI?b`Cm$Ahr@
zxH209Vt$Fas(~XX8{{pTf_20v3^i#NOrPY_>VFoO=HlCtiuOM09C}cU7=cB)FD?HU
zLoJ&ISs%<Eks+ykMfA6P+RpBy#KYmV(9)tr)es>}xYaQ*<zYqXCv@=HL-zxDntF0~
zP@dYv{T(y?4tY`-gP{mqm+Ns!hcD=(t25e+;q(oGcDqG}=JWv(TfA5Tdn-0L|3vc$
zvu1;z_JO_|;P7Dcfb~|#>=mEd_Y<vv_B4Nj8r2c^nz$WwuSyj0G5jx~iE<x;4-I>^
zsDr^=lZJ{tcc9KM`VqF|4gJ+9U|*9#3Qc|mbtdq~K;yRy&v?Aws3p495o9HGC}T;Y
zZ%Z;91yASoL+sZhA|j}x-rus^uS6~XG+0Tb>SK^JFnScz!6IqEH!Ny=jlnSooUfjs
zzA}ii)N-MO)kQZQ!@f0U=BWe=wyaiP_c$BYo7sqrY9Si8PQLluP>F(}BoBN(4F<un
z$O%iM#z?qE9$=GpKbtU3J%%)@6+`FMPoGmsGxJbwZ_Z@aY(@P@)e2=88tIG=uOu=Q
zu3HSA%HFiA$49Gspbf#2hM^)>CO!&}h&Yk|X(E92rZ$t7ea7XQtz;gfUN7iq=yRO$
zF?Zxt@4tpoIgz^A?r`PMxDFbgW6n%_VVa_Ai6Q50H__aME9k;HszOX8zJMk;Lz#TS
zfnlASX?!`puihId6wqOie^h*Cd2yg+I)3G7878bp5>fuedGwo~Zf38Tamd-h-|!m|
z=<ugn+y#qiq&p_Q8@pa4VKAm1M8;jPx1ba>F<g*M>TD_q_iZ8~?jt%S>m)7F#zv#0
z$zcD~@2e6uU?CJC<aH;H(D-N{aSDFp86H@Gq^6>+;Mh~YV@q5|^D9R)s)OAI;dsYj
z1w>(LP;-IpsWRJRCgz<}Gp6NKpi#E*>`<|>zpaKI5K)4g51KMDYztoIQ;01rTH1NM
z<{tL2kWhO%>M3$|H6nnE+r0Z_q1v$}B?0F-Xgb;TjEoHTi9V6QQ8c|B#b7f|<`D2g
zXRvGk8}gvan1OO4k$~<{L#hqUCxgCt7dP)!x;%CgmGu<yFxC48j@7fPo9FH2)^@O3
zfX>v>ZJdcx4rTL8;kC9bHkE>|2;{=(PDbi2t?NLWFL{{73g0X&uxo&en>6Jfj7J!U
z=7F2?08%0s4^MQ1;WI&GR1Y$RZP!TLPa_JTIm<no$8~LRviH)(i_w_&xXUgHABIKM
zgYAi)!Q@B8rHo_Opq=Oa?WNW`)cdX#OlDN8O@!%Wy3qJ<bbXuBC@~B`0d=<h<G|~}
z;_yiwkYLGpc#$9+N*+u-bIG0>4McFac=3c9KU7k^QVl#*9hnVVS$|4H98`l-=1Fhq
z%^O-7(ugGwpfkt7ZAdmiOpyx(7hsB<C?7LpYuo1GFfZc_+}(f_nwTn)Lb551BZ1vn
zPHU@($m5#Fx~%R>YcJl#s2g~(webj3vXHk)Bf?O6KgE)T2#6f?7ZRwvJsLv8R$y?j
zG5)O1slGm`Y<wjq_9RWl9CN-}KOZmwXLJ*mIMQE1wh#H_|Kf%NgbmF!lmCq-;T~gZ
zMIj^mTYRm^-uAiHs{T<N8e2_<Tw76c6A(L!#x@#Gg@BGG-~PY5m6g()u}D?$9-8EX
z#9ceN-X$&Fw|NbDyL=&t!yi?beCXgo9uAJ@#zim-V%Xqx;*9nHL5noA5Uuapi0_~d
zUAQ#uUHX`c*QGZjsbNiJgt_pWKah0%%Ky%V#jLZ54UhH;6#F$`_l3c$U4eHrS71pi
zR;(b}7!3QQ36?<BJ&uNA8-%h}5Rt-Y<uV}v6Yl=4f{}w1q94LgE?#HQzv_+A=xo^J
zLU75LodvXJ$#PTQq`oc*+qD#}tTz+DK(xY%a!^^>$EH}gdNrD=_Fu4S_A7YPItoMP
z8hDC!K&r8d)yb^ugpL3EHET>Uy|Aob(54Hwnux>Aph*tP%kM%fQ!Gr{4VRlFLRGI$
z_im6nTk~OPNC>T+mRR@sl<dC;DRU%9^o?-?-1GNQ3co-=)VN!37xe`jsQ2E$loPh*
zvqM)LvTT6_)}nH-?=;OewzUt@dW~+a`xrjVdG#}4FG8^xc&|^hBM-v0cI6B9;%i)G
zVx2er2|MiyetosB+lb$fua2i$-v$0!wR!vY;_&)++ko8BnJh#jqc=-PG!RxSezFNe
zPug%gK=<gM@`fnRhUF^+xODP#L+YE=a9p*twHXl(Y^yh1bxy4249v^k2t;cUEnlFI
z;`AhV<tn4~;`RcR)Ose+C)A3OD6>xry~S%$_PhWoeR}%ipwl;Y%$Ccoqp%OLp?OCT
z1&24<AX`Zo42??@7o7;e7G4VxNq|hD^xJ3<d;x}tCy#%);Q94d<cHJGpFdxXP<jx3
zT365(n=cA!YM<dVu^_hw4!=*BFeE?U;(NUfhulY(<_cgCqB#s#Wgi9ycL0`oBey=q
z=!S<~NubUFP?4lA*L)LUJ35{EgZr4cYY5>}f^;qT1028n^2=%@fP==y#s@5}s)(j5
zKsmGk%0i(3As<<HN3e7InpWgTVY-x>ni|=WnQKX7`9WfKvXkq@v4B}EXN#J3xRDjk
zdDy^OPdH0jil%JZi`LwSr|lr7fzE!^#fxmzsde4Q=UsQPfM1@#^nf@ux6zB`qU#@?
zus>C|Un~p%$=FrTm_6WeM*ypCYrjx4ffP;jRF(%#I>28E2vGI{%}4;hz@*+BKSgbZ
z|L}cwMykK>Fo}Xh-0duSF?icAcW`dq3S7noU#RlOw1&z~JoS{45KI8=9{z|`WWIjp
znfn6fu5ave)H>tm<>~6uA7aq%nQp{vDQFbKSkraM7^~BPPskgW#^?{&Sss~Y2z*b2
zA5igH+@w)TIE$(=R14c}4D^gY7+r(I%N+hj$FcZMfj(dYa-bl?&_osbqbwvrQo~p5
z07jNj+ua3B=|X!rJkMlaMtAWkm6;3b_%jV8$bh4}sc|0S3bykw_Eo*w(7gj*WNw33
z$1n8>3J9_zb6_gA4F2nQWiedG-f8cgkz^{-f27<$!e5D;%IC$u66Ja<3a_Q>#VeT8
zDi4k*L0`dGomzuJSeB@%0p*U0PcoX*DUC*reC3Cs&enc3`vsqVS_g--{ml(?Ko23n
zIqkBbzaK;E*KGhry}ynN`RKOUcw>W6vjAXR)g#cY#MLKs(LfqEFve|-+al0-tBP(G
zl^1BkRl_d1v*TtG_2J-CU*pecq`=V&@>Kz?=&#}Iu0ZJx4gL6pWkaeGhRIdqH12^U
zIF#YoS7s98Mw}kn%nFPfXre592{c`VEJjm9Au|=o39@mySOpv$`vDsrE8QR;M53rC
zpyjpw1jeQ#0YzZkl8iErvU26hlhvs(2=xW<%7VzipA&K%Peoj^8xLSk9>G{J2<X&q
z;5d?vlui9Pz`86aM$uJ)wkkU!NH~D~4^!WQlSPgn{=io1vmkhNQJK(OS{638Xc(-0
zYvOSb2-OMBV3ho89wYX;fE(TkeG8SmER0LDe{u$WtmYwn+Ua!q;7RywycaiLM3=1w
z{UrvvcnC{eh?WnU(V7}d90a`j5`nr87B?rmgMmlIPd*MLPF`$~+`5iuoQu6!`H!Kz
zhOs{!ge87K0Ug6I#->nnHH{Uh5rJ2sL=6=LsX$mHF*Uc0Io%5J2Ww6Xqxl`d4S#W@
z5_4WT@60?<_kqKa6Wh{_Uxwr^%k-`-(6XqLin?9Fy*qryQ=J|41Lg@gxeOIAf4UWz
z);2Uw6YqiOtcZ_ufDNSw=#pmt?6hnUl|i!_V9oCYZIH2P@F6ivG+Kj(iO{DNry}co
z5&U<$joXv&i|H~Q9qXoxSrUzQrINdveRKtI=D0Ft_(&W(hhVz!5mZlZ*5x+>&C4V<
z77$0HbmJ3&nU`?*0gqxh{zg2Q7~BUM*5MGe*e(YR$J7!GoHIKv8G@E0ViUFFj+A;#
ztAG=D%w%1&hFgZFYe4#nHQ9XAzUw2Fe-w79Ml*~l>QpGuECU?-M5*Hhuy+Mar=LH4
z;sVc4A|@bk--j%2^T6}x&(kaijLFKVae;_Yh2zMqUNAWyTk?W4lE4Tm1e(bB|5SD5
z@l>X5m}F@tm904(vna`DKei$BMcE>!g-FH{*|KE~Nz4>VNEAwvB|2G#9I`~32FaEz
zabzUf_ojq!zU!&q{PDei^s8TIdC&X4&wXF_b>G+Zyg(l?541g$r%MU-F;EKvCTqiY
z$rVTgC)f!u3kQ{6-@w3EnD{3~CgT`ktgD}chWg&&ETTo2KxNrYK8D;2bSNK=e?kDh
z54{%@O5HoUtdlV6W{rqJh%_vbY&>;6XSJZ2%p=PlqN+|XS!7rU>LY9^5MYJeer|2a
zg_!J3bQh!ocF7tMp%1b80<s3WG{<B9620W6{1Yf7!0>fq^qtHJ%A<1v%%1GO#ymI9
zPWL%IxQacD{L!y*1Al?co=k@NThg?Sl5u)T22d?vRT7F;(q1I?AYkX@O5z|;2G}sc
zN+QPFEe{|m!r;;*rp}Y>DP*$;B34I_q_L%7@sIciGf#c(Jq#ZgSNGH$gi!&BLuWp^
zP42=NHQBSFzy;0{;s2z_CLJWAM6B*fr!;ua5bsCHanf!C`SO97PJ<UDI(ZoRxck*T
zL5wGGm=wf{^#20vL)*i^W9WtqLDV2HR>(i<Ze7mZfN_*uCX*@HrX$-#2A~K_N~|e}
z_7fgrc|hmHeu-SxP~84yJUjVz8@1j#^xc9-DDuPvYMjzSKT=fNR^MC_oeSg%m#v2@
z;6`MgAppDLGU9L$iK{_#_>0f|S2THIFt0*EbSMcXqLUqQA(&k!h^`)_f$MARo$}=`
zAEx_Wfqc6M?{FUkeNlAmRH5|&zv)EewJ_SNM=Wx-UUbia{Z9%8pW1;8hwRwP$@9;)
zU!fqjD3ewm;4`87A|;1ViUC8b#Gn~S0l|w;FhIhixwMMA{}&Yo4YJeAU1S9hp{`O4
zU|TQ70G4m<)5g?KF;0WL66gr?5$@?Ii@FF22tv|X#TNY+8th*1Ras%|H3O(<Ti)X)
z5Mr?V6WRn18H#dp&6J<LtQjATmEopc;*hS1{ZvxRV2AdCkDp%+zYJYF=b)gVp3Y_5
z(Q6vr+)!zl-Do0%<GKm+!1<!&JR}->z@{()l8>-4V;_r+m_(rost3zqJf)2jOkH)N
zEKG+y)nNPK=6*Uh&~{U;=^n<luA(nn@;AsbexrJPm4cNv)F)yi(F-ji2XFs!l43Al
z(Ks;bi>m^CIt>bjSOfqT^A(&Bf{-NgC(RkAbs9cz^%&`%l*oAupHmZJkTR)}hnFAS
zMZKcl(1hO)?5OUS0UDe_ICXkDlH3VMis~i;{rprw;hH(nhx<q1Tatz7Uk{C5K~p;L
zBB=umP;s}M2^*NL?TS<x3735ak_3)`nh2sVS;!vzm<=eh9Qax&c8!pp{56dk;EWHo
zT$>3qfZl!w(aYkWM8#CMT!SVm$+>8*xpmlnHB2WSI9LlP?W@0xcxxCyFM*WBKvZFL
zdXmTda@VOg{!2R;z*pVcc0Jl*1+U<|i<nzdgLPO15Eg(S1IxEp%cROKNTz1z<glhb
zJq~LfNYn7yi%lv?OU_2kt_ZSBVj-g*U|r5@0*@q2ABsSTk2X-%#G>p|rCTpY|G-Wy
ziex{WrKOYb)I!`zYN@HFge+7`68BCL2*`lH(Wqi#Ic5x|YK}rWdX($So%_BRUjRic
z0T=3i*FoO1n$0o0XEtT~5Q)niomNZ+!qzx!vS2?vDyFWnP-`E~??$p^b@qZ*$A6P8
z@J?TGZ&N1}2guS6U<xNnBt}Gt8pa(R$sM)<oYpOb0$dE6?zh{QXd})$H=9%Ad_Zp`
z-8pB(!};dP1j}9e$K;I6RGPLp=U9B_bj&D1LdM{wGF?x4Pt~Q&)O9K*G{J;~YcVT{
zd#@Q)M0fhXqq9OJVgu>@D?$qspSWxnr@UK(Z`({Y%>FXE;_B1GVoj9M#e@U}9lYro
zhfI3a<>WRR-xVards?ID7_5U~N4NXryLYNi;f`KjaoCFqvM8>O8Y_s%PARb?cIEx~
z{JHTTds8g(B5vFeWwBVtot<-DSx5@D1jkgoa4W?$Oao|l{@tGgY#TkGO5gj_mOE8d
zRFH!_>DWT!X>02y9Py2g9N{qPB2}*I0K)1aY2l*M(loO{ZnN}IQ&T}W?s<>4et#h%
zBBP=rn5E)z@#4j28uigR?QW&<`y_c>Hghc-p0)h-SL)dxgoL=TCBYF3i$8mNMTLZf
zNIT@rRMa79RZF?m*<!hlSVotd51io$*UbzF2uSm39{5Zfz75CSi-1vY0rgW-Qgp(?
zwDB;}e~5CeIPMVVy5XuZnu|p``}bd-X$Ww2<*Tl)#!iKH@wA*}&NZ9EhXt^tbFD+U
zr8d{9NzrHmZlz*);!191_@HW53EB;a(NVUUkFR!dQDb-5+Qtg&-A+_oN2CWzjLP>^
zDz&_-Dyz5{rK^BhS#ePjUReHjDZp`7ZmtVUr?;<<y1Kebp-{s0w$XNN=Gbz%4hDEy
zP(a4Rnlo9o(^a)R_#dewG9v5OapGi(f%&2MJ%J^~BYPWc#Tm|C)Pg3PCUPB~m+(rZ
zyEr&(yMO=w+(--cnd1Y|J|O`CdBYfyQB-1UH<Z;oTve5@IjU^8Q#0;Odq>B4+-#d>
z47&=QpXZ>&jK6sk{@ZVy{p_Kkp|P>C6!n~yS?j9G$`O&&)rp2{AxXw}ae)lY%|*_w
zt!#+c%L#TWIF`;7rqK+U7cS~;%f5S8LQ9M4P)v!7i+k4Cc;kJ*{OrJE-K_R8n-V7T
zLRwn?qtRkG(MayxnU$aKVY>=yY7gT`Ysl`$veMGwmU5Aai9(<dj-NVprM$fSWM7k`
zGG42D*EFNNoPy-A_<s0X7@-c1jz$3#Zc|Ya0!dkZc1amiXY+G|x}9BJEgDzgkSVU|
zyB;TTF*^Fsu`%hJsi{5?3UIvGF@vcb{{gy}mjdQc2PY<?ktKDch2NrIgrBTqZ!aPI
z4Y#ARsHv&x9g94gvT|nLy<Lg#-}|Cf#gDZFF5ePc1?|$(LVAdWTwyYLKi~RwM~)uV
z%{Zi^ki328PF^(kqAc?C>2&^y$;tN4PRHeB`wRbRTT4b+_iWhLKQNFgAGAkLk10;G
zxb-7e&7;uITc@X|y?uOsi;d;S36y#DN5go<y3&7x@{Nr@YM;~d^puCDoxdz`&B4Wm
zx7acUU!uG1>KkAV4S2QMQVk6aEsq_`C@kEhpr8PMT5b<dPw-BcP>*Dmm2EX;2p@(0
z?c7{Z`%=259}jlr09KGjgTvm_Gq$i$K~+`t&Z9@K-;FAzh8)<xU)R8Zhhyx1kKona
zUNcfw4xMgl?|e03L3Zbm^cFF(XpA79KMe<2EY>q&0M&Ly!GN4&GR7_Dj*gNr9Yd9K
zh5Ke#Hb$$&wa<wI|G#imy~kj*7wkKbTUjY4bNw5%fPYU;{tiu}xs@fqem6gFZzUO7
zSs%#EJy^^QA3uK72wPi;3C+pQzQbhVQ4yJ&pWlNHN8w9p4lIPMj0{d<4dY2Qm$_aZ
z#@>y~O}MJ{yu4Z2*?JF`rG>xo`7~n_6B{cbEzLJRK3<v4GC`9ls=FI>anNyi7sVUj
z)$kwNf<c72594Ol1wUdC#?{j^A~$y@_KA5jJx$2PjFJ)|$UY4kZpxp)Z3LAa6dY{t
z=(t|yy4#acawmnAEN)dHbA#gI!gBZa_O1oV@zWMQ<N_{4ISDm25!^{5Bcrj&$@7Vc
z9n4THpw~5_R8LP&1T=m4r*yiN+EQWd1zY_=0BG;irww4C8{R0N3CiFQ;|SJX6pr?X
z!yL73ZJX(I`q=bzgtda9jt&Pv>c>_o^*WCkO$iCkq@*Ov3g6+FZwK|7ZoC=wIQU*_
z+j9Dul|>qUr;@5__QU>!wM{>Jy{-iuHnEyd%R}GN9;IE-{9A4W8g`EctQPh5@3FQ0
z0nt8cVPQdAo#%wV)y!hOxPZW_8lW1_)qNif%Q6l0^`A5}xIFp110QYm95g!j)qNL`
z3Atzc8X9;(ynXw(Vmo`oK+5(^r}KF}VGrBe51(EBu%XsbUoj-)Gxszb<t>Fu<x)Bp
z+}yL^gpbJ__VV`Lg3^jZ>hb|3H3e68XlQ6<^aJ?yo81oF$LvJFAty)<CSOXN6yEgZ
zuv%}@Ov3G#Lw=pq2-3>eV=JeS-`6+b&&%PLH2-}|rhe^T_)TAr_HD=v|GvdlK<WR!
hCT07-@3C6XUbncqCgw#Ch$qaNk^TX_!oA0T{~y51j=2B;

literal 0
HcmV?d00001

diff --git a/_images/bed8167be37c92b5d71e2ae9cae3439eec937bceb84ba422addd9d9d5974ed8d.png b/_images/bed8167be37c92b5d71e2ae9cae3439eec937bceb84ba422addd9d9d5974ed8d.png
new file mode 100644
index 0000000000000000000000000000000000000000..71ab11a4b1fa2aa3a9c9453652c44b48a85adf72
GIT binary patch
literal 93119
zcmb@u2|Snox;6Ymh71`hM46g|NQMd-OA?VxNyd~pLgvVrB2<J13CR>PlUax&GKHdK
zC__o1OwYRM?7h!^&-1?TbDpz5yZWo&aNpnW^}Vijt+lQ@MDzF&23ihU5{blcROOHs
ziL^$AL?X+kp~Byk_-Rt&j|0w!^_@>%IOptYdeMTUZtCn{d%@Y(%8cid#YHEp3-)5d
z`-R1Ycr2Zr9h{^@MC|_Y0^ti6&x>$x-|B)7S?i#3%85i`G$nqKJ&{YXB9W0uM-M4z
zyWJaq?{28AvrPTHC1X!bW%gBaKVMqm;zy5*0`#d;Kl|~Y+hv*bSh+YUD&Vmd$F<Wt
ztR6*uNsMjKXcAxJRKJDo><OmznrHi|&K;<bb1MoT%x+5SpB<ABx$oI>aKv!<)y0Zg
zA(=XM3f=%FMH=F_hGU`q?HhUi<3}1R>kT~r@{i%<+y3!S?q5#${^JK;k%P1me?NnU
z_jB?QGM3d3#HT+0$uIwpA0qBN$W9e}(`O~lk@Wa+^_w?LGF(}y=}LHA1cyl|ubdpW
zuCDID^q0#_#P_BhA-ic!ys)nBaca5(@hT~|?*n8RnVEM>IEb&eBIB3WVo*|2B3Z~~
zhlYm66-g3*of`7|xlDI=w?qHn%0+f0kd8_;26wP;+O&GvR;HG2Lc~{CU!xlO$Ho4?
zUO5+~%E}@Uzx`-SB(43&${2b4k1x~emx)XNrrpkUb|bHGg6-F|l?9Ht6Mz+z$3@6Y
z4A&Trm&W+X1kzqir7`lheUq8_JT?9B%2gUUwEN@sRB|J;G|lQ`w;8H5DjMamX#6;q
zv;2eN>(SLM;n@6(*x)u>nPx!+FArJzp8@<rI!ei=1JhUT@olI7by)q(!IhW(AYZxT
zh;v()PROqD;@Y4pf#2JvH}IdZ;$hJYKC<$vw(L>1o!F&wya)BJ6dn0JYHbzJ%&Kg;
z{jGmwIn%`HO#|VaRt>u!nXc>-Z_-CiMq=^Rk7t_BNzX8|Qy4jk*P8_EHtf>!tEaf}
z-XoyTZ2Qa^58s^QcCD(9yV^Upuk5D?&sPP!FX`nO^_R-Zm)HJ0OkU)?H#ni3M)I+i
z{#_N(gm?ynm$m%-Crp=<eInyd_WkpnE0JoYReV_WUd5fYB)8W&8<Wf?n#1-U<bD39
zr?OF>n>LxF!uU7atQg(hM`<hH_nA_8C8X7ZM1!tMhd<O7>yA-v?Pz;a?fi$2tZt?t
zC^Hr-Qj=hlde!H4e?$J?%iO#AWqV!QrXA&SX%uA{vs~>NxWe_U400mETg!T?bHaGr
zIfCTulRnl}6gTMcPw}MF{HBeojau35_ATmds<_YAA;H@!Ejk0;na(8n<(YGPM49wF
z@A<aWoPIC#P~_9r;eNvfkB_p?u1CFL`@wtX+CWD=)%%`C&XPZWFaOZW<%fMGLZ)JY
z<l6QlK{HJ>+kexa?zr|jH`(}L)BC5DYS<;~4=U$qF$8z+J-hL?+42x|w#2P!P2+ao
z^F+uoDH<ITuMI+2CBD?-Cjx2Vt`2>&fxlTY$0o|{`~o^10^D5T!PxSMV}~NXter}F
zxM7DD^Tq488+JWP_`B&dD+wW~_49^Zk*AZ^nA7u-anEGZKh(;VqLc_t=Ig%8Nh000
zW|&MGQ4-!*rLS6cWaYb6CRWa_N}_0V^shO$n3J9UYv^6pS+jq=^ZI~Ue<LYyy8wR&
z{e{`QM;|3t?mOxD->+i-di_mB*(QX^6LEUhx<B8)nx7nbs9acZagB%biv}*;(f$t`
zLOYxSR}OW<G5;M_*ul0Z?4*%(=SIz}0<b!AuHlSZL)dGi3hSnN!yP6R*4^ug^=--W
zDmGb(eMJGqgG7c9k7J4An2q0{sKH-Zxi0go-F~(6bV@3<<evq#i|(G#6meh4HxYM^
zU8jxMeBk1m#rfIbLwr|4Le|!WZaQh<!OhM6-AyJlxU|%BP&=AQ@#>AwI}dAGv8yHV
z<=qS!+ijfS8_s1nMDk5%y!dsu@yeI~_+crkWV>$jev+J=T!vvWOHB}iziM*z>%05X
z4>rGlza=3dq0i~y!Lp!?9XOu?+hm%lN&E9e*M#d;)R=g5vk#hGl;k?cHt6_(JTvU)
zn1s*j$C}wNld(jpQu_G#c+F1~#>je06_(j_J?-F1Pf4Msqq`oI!A0b5ejTfbg(N1@
zz#9YIZ@-&<1~}Mmt-1fx%g{T5qEK%%H-0so4X?ACISn;#l<}Hl@{;8)^PCMzPTu~(
zV=R;77f;BwYl>r?nXRcOcfN{~po@)-)p;zkYnOtN(SuHZ6sPIZ_)|2=aSFoBRejl}
z9@D?9&(o8x9&0&b8j_~axLUPD9<ws@6uW-oBAI+?OV)pOcI`TDS^D+s*VAv2+HmUB
zsVJ_I$;lh>m;bC~W@gqe^N=|HKqjQ{g9n{;eo33TZl(ccv0?K;TU*<&i(aT?7S4<P
zhM!plP3`znXFo~|2@SF6H~vcK+*7-7x0lCaH6yc~yhWwLDq@r&7V<SWT-tR~KCzWV
zDxdpA=jP$@NF!dBhJk@HyuM~>abECse{V16g^ESV64!4xM9u34zJIJKa+~6N^yrbm
z!QtE%StWaW;aSu;1@CxC6i?@;$!7<<=w=-!C)aPTSfts<Eou1u(Q~$!VZjG9QzaO5
z*R50`_Z;yro3~Amv;>ETYeZS~6kZ6=%M&N{INcci@+HB0en#c!(NstGiQd8^>AIN_
zF)>%WjD5<g#XUSc#3KcH1KJb40$EC%w<kV4M0t`z6sc^+_%i9Vm{r;C>3Q+s&Y=Ct
zvuh}~3)IR9$m<CvdWc{@5bDp};>6|6?CsY%IZa!?{q^N7H9qj__3JeQRsLio)nt~J
zFJETo=Vv;)FE7oD>=hF;wX!-jBDEd``aa6bGumUkZ`W5J5(r8*^sE0(i-f?rO`dOH
z`b~|&ja*kTN1U+|{m$iU2UfG#i?@8kJfeH|R=<iBV`gW+YF>YXS6Fym?zz|GBsX_=
z$1hT@lcE09jN~L*TH0)fkBax?e7JB4SFc{J9BoZ(%`rbxR9r0a(jCFn)SxfmcSz`v
zLI|xjgOY*0=w~hF(Bxm-n|F1+H(19TAAH1}HfdOZBV+UGLHK0J+_XSmS=fJ>E<y9^
z><3TA7cX9n_E*Rqzqg+Z@g=NoXt?>JQ&U|&-5T=R+FFyYr)L^ozPu6@wef@3w7QUS
z`MsbwNSs^uwzHXP2J5Oc?NTmRTzia8$?aE;Rm6v_LrG@5Qm5EI=~{C=P5%5aGbgF4
zk#FU`MX0#ULnU0c$K?XlGz?w*JUm?8aJ4RHy`svQdqvYUtw&G&O;P(S9g+-D4lf_@
z;r8NUEcc%<X{WKcIqY9vK_oV<)4R>CGT^vIXKE*3d7w$MS${Nf%@I;%pC)7H4i-yx
zrB@UNKklq-t#;T7*yAt^NwY0Jb1>oIiKdD7Pi@(U!-9)7+iq5@=2zMk;L|psy3EPL
zOvgEElj1E%(XgG5|F(7C(WVRS&sOrON|WMB`C)kav!ZNYtzX?@&&O%^Q7dzLQqc?#
zr}zZxN)V^guOKY(A{L9cKY7S}^)f<vSbq>Dgz?!m&N8o+jcD7eN#ITu|3QxkaRuK)
z#@poenx5&XJ(X>+|M}zZ*UA6=y3}EwU3#*wc6>R?d-0m;-K2G^SM9zEWvG(1Y#w&r
ze!bY*?G$laOoFMVJc^8+0-t1cQ)=~S5C2^S?Jp;r#w2xo*N{9G3)x;yw9DLn(yp${
zxOz!4t98j=K*vh+kyhdp?Z9d+om(9>ooci=OsYB@eX6f*o_YNJ$dJ{A)qYiRV883W
z^&^w#_(t_N+snSPyXk?v|CH_JFX{ttEG=LD&FpfkYi#mkqw408=xZpo$}G&!XjO^w
z`&sa|x>me!wDOzvQ;{c=4r!e;z14nY<%`5M{=V<xwc8DXx{8l?20VyhJXX90z~}P@
z33cB?LZ1`wMr|fJ?B1So^y_MQkK4HlSoYKrr@?H)?I)TU+FN%QvIAh&X`Q&$k(v@F
z>L$apJ)K5_Ry8hz>+gal5NJ4p%KV9l-+68ul|$s8S$COQ^91Q}bFzQkcgFXSFmr-`
zF+J%Q-^xz&E-S6>P+EBA+I!M5rt+R*UO!7HO7f%jxkSAwy)R1Qk=)JrB02A~$jTf3
ze*O-Y@22>Q$U|#n!+{0KNO=;`MDPkQ)Vywgd`c&H_0C29M&&j>GSWkpcQPI}|5#Ve
zw|_(TZ^vTgK;>aUcJq^#&iby;K2rIj0op>9xBOV{9e-u{EID{Jo~C(hztZBP-KUP$
zS{Uy;{MxddF~OHHww%eQPo*Z%Gj`O}oIXod^0nEG4XY6`_k?<7L3ZxuHhUXNz6~(m
zK6zLnLEFE6kXPdLmBl;Uni_v$z=l-_K9Kb32e0Joo$@!ak0(NCC)5~t1}HM=e?^>5
zI&?hp+0i?^J62X(-QR=gwX7Ui9H++=%!D>72yax-s68Tmk^-v^@Mj{FJg@?o8k(-I
z#@fBxcm0!otF>8U@vtQ^FKgZIW%;J65f|O=x$>!>w;xurCD6-$`>X0=r-lm+0gk%k
zjv}f8a<mUsF%vfyafkiy5gp!N`}kghET!_w7tt`}V4K=#9z00WNi<bA<Xl+=Md!cg
z;w>AkW}5ESLj91?g`1C`u9hrbDa(~yMCB^Io3VBFnWp9=#S^KtC+|)CYa2royn3^m
zSV5E|U#)y9Di1}OW<3*NQ^4iBCDtpKAK<Wx^c03xKxIIF$QqzZaxU(bXkYF5aC6+N
zk?{~Hvmu%9iMX#;W>v+z!$7L0Ldj9)D>tJut*{!Ljhe=5ut3>2$CNTn->|KHQ{Q<z
zx^orTzouOU=2b2>g2BN4%eChR>S_%6CE^}GW#J`}@(mc0Zw7f1t0p24sj}vZyk=tF
z>X-AQt789Tc_W~n(k<ppC>os4EME^R#!;EmfBEtSHN$GP)l0gviIcOYx|$p<a-;L=
zdo4qM9?q7G{G_1E{HbkvDy_`wq+ZDLq(=X(nWqbbv;{I}sMiw*#(=Ai{o1u_-{+>x
zNxsR+7Exbz5lwi~373LBwf-4=hUzba0wcN9=xfEf*IH>?=f~0Ah>4AraB(4)pv`w1
z%UaUF)L^~k`x2L^8oSlCJ#io}()5Be?IW(?Pu8lEJq^D;uC^K2gwNYg$c|jq7O?vi
zN1VYV(c3;Ff>DhE6x;Hy5fw*SC#`Lu|DM?f!448*g8=`Fr6$IRtcM|cj}AUECBS+^
zQ^Mo^->Y}|1SyN@hdXxV#1qXLt*7CAeA_QxTe%3lGH%^!3<{X1(&%3F-Vl{`LO-p#
zY-eD^vBP_!+hkTbili^Abs~|dw~7^)vLnV4vky^nF#`H4t<Pss6cBeF)%04Js_%1>
zmX^*it|))`Rmq56Zs9ux;9up)bk5~P51}(98_GO>S>Jx<?d7%S+^ZPnUDw6KqGvdE
z?%au^{IMtBhQWw6yk1FPUqAQBvBQ7c4FpAfeU`KdI$4KjqE&*r%IasfD;flZhSC$r
zcA_WW|G@(;At9lG;o%^$^Udu7@n=deB^Xy+j!;eBBQ73r{W=|RYev)#0Rh^?BjE%{
zrl+TWlddN+{-LZ?R^v#D4BD)F_cmuvR4gw^M~fJLFd4d8r}LJsKKFc!S?yKkJ))vl
z%FAU5nCUXssgSAbWOeh_Em7}3&fUGeN_>$Im4esN(9<8Xva*VD9~l}lZN7IvKhKhx
zOV;ZuqwL&(yGFXMq;0qFeQDQ=E%6NGH;2RO2X%hympG?3+t8C3xnwHytlpYfSWxEZ
z)1N+ldTxGxtC-lWV~N@VIhL(_&fh+4p`xP7e)g>T_O6o=adABj=ifPFVI!iWgY4gz
zkUd!_O-NYXqFbZZ+k<1(=mS;#L;Y6rgUih<O~m+#MD@MnU%rH->t&e%PF)QTKjP-L
zKWN>Sv|kjZQgp0Bm7$x&_Behz1iZx~CB*^gR|lMz<34>(`2D-w^R0<T7&q^CAc=~K
ze*g9B1un#yd{;;6q*=by<HwJ&&R$PtR600Hx9B~7p1E1ZjY(KoIJ=-g`Rv(klYPY$
z=y@{qbI3n@_+S!BMk4+uOxZsof~l{>g|4cqs=LHRP<DA?TA=CZ(W6(iQfnI`w*ue3
zvlKK)?Xb2K=Kxe==j7a{8Y^<E&bl58-Dke|=hvRSd)s;nOsdH5cg=k$^BnCh6k%au
z$v)r0wQa`^GxR?|tG>CpV$YsEBasdtK3sHhh?bn3+yPzF!qWUV0$ulBsCfTyr2QVv
z8gj&)JiqNDO4m)PTId`oDla-Y-7OISLsh-DVkRO}nzg=p+gWiJod&wcY2Utm`eb%#
ze#TDM(C`(zxmsdtHcN6zXSm>OZud=pQQOI^JMZx4c;jM*!AL@@rM1`bckkZOldfO8
zmL|?XDzNL7lsxx}eMh8<e*KLt?-G=Pixx+k@0*jl>%ur)ZrtB@fopxpA))QtliL=K
zgtAw8d3&d4q#%~>9`ux)o}E2^?%X-s(KiV~yLN?;ndoI1bsUIqXi%|VejA>8GUej$
z-}CcM_3wImo(&9`WO_Z;h;KH?w|+s-z!00BE?9bL!XV1Ui#h-HB^j5m+L9hWE$j4O
z*d;%F=!;G<$8oUk%Vth4u4Ym;x=P)+<v0nOn6fhO<av;TE<FZXS}b(*^k)xx&U|h=
z*gMH?Zu@hz)v)wzXii3k(98$VZ=&Yr=D4$%(o*T`;o)5Z$As_X;*8`7pDEdMMZWUp
z&6{~kR3}r8XJ*TWie4J5V;G*CY{sF~$CkY-{Z`(zcdya-x2EW}8%<FabuAu$B+iA3
zy1Kfav$K1RRGinAoSZD0s@-_5`Q9n3O|7l1^rTXs<;zhn#qQHPI1gOhCMGU^c5iGb
z1D8z9_8mL+*0G;V@34LM%p$|Cw?IvZHTS_m&u4PW3%8_a-nEQgYaT<7HU8zh!f(&v
zdTyVyl9H0IDl2_o$4OjI)fOl~&gy)u&Uwz>zF9XzKOu^dRAAA>N?h{KU%z6@$`1Bc
z`1l06q<$?$YRHWe)Z2?B_&6)8#pCB_LR3rcgT=`#we^7(L^*h9ZnKGnn~g^_kwhU~
zVEy%L#GTt(ufLx;YnFLq*NIfeN&6kwqO2Q!1{B?T5FX>>^s%ps-a}C#Y&v$LhuO^Z
zbu`!QmuDkho~5CqtMMhHc$ku+XIf&>6m5!&otx>skYn|BhuQ;~O|#$ngHuy?&5XaJ
zh*b;PBzA6e^FE&?uZ+`$>!{alev((}g9tBi{-R}f#&x16@Ko-(4!6<purLOK_R!GK
zsD1IGs-b~~B_v6?-oxEpfiH5PMQ%C3Q22<73XPG^qDyUkeNB6Np0fLM8Ut17%bmG)
zL)|&%4X<9+`ccw3w|Tg^RkpS=d(Mnk)rPDWd?m7PUtwdH_ov#B?3|n`&I`}4jE-7@
zRIcpndw$$yc4|sNQIWj5rpEN_*?_~>Sxu33i@fJ04?TM3o{t^R#va)Amv2GPqm1V3
za&b!9%6oaql(>uqWtIP-C7IaU-#`kd=ai)XR<SJW=kI^Q&@hzvr0RgR`;pe}f9++-
zYrkX|g%Dl%)nz>QXDrJ_whMJ*kNc0a3nOyNRnfao3m9IL+_#U7KnX@i7`bI@ZL-RO
za5iz>>yd1#W5v!t)Ji4Y&d<%a>EheAZ4J&x-Hk2M-?8+AotdW{92}lZ7r!s_Wb;}2
zz4Hdw!E2?i-^>=~riwtLY~HfP@yF+*_YQipzJ07-Lo5Pl45xa^HERa$UMQ~$V&MEf
z-6B^5R%4%i-<#i;5mBZcX*zR5cZ{=L#&q}Z-#-xVvs8rxLg(b<R8&;d{`=l)m3-M<
zxYyUWMd_TvE)W6e7VN(YFl%k4O{TiGyu{A7cFv+n_s$c|NA2xjsom{p0u{&miq~Jh
ze3{6*_wL;r`1FbV!i5Vs#s0@e1_%9*-r7M%(tT<e62`fY55-_|a*`+*!Rxm0u#S~?
zWn^TSV4vpZ=4hMx3omdB8$G`o5fNcM_H|&uSHh;#q2<=CTj^>dOf*H;d$1~9ZgW*%
z-li~b*%DSC&h12&`0yc5Kw#iU5CAqmi?<uZJ+`cG@hHf=t?@zs6wgzqk>;p^*4o-b
zwmo@k6%-VrqIX8Bn4CLD^-ze()YSAuipL#lWt3R|D-_h^q)XpEFmQ5m;`6GSn&{-;
z-D5djV5`vb;Gp2EBf@u-gjkgXqO3bCriWjTzAxQ}n|f*2n`2Im^2x-_&3NQUy;R5i
z;r7ivjyfnEmF($x>aJhfD3Plh8XDfLeYk4_t&l+;&8;2kevv1Jrt`gL-@8UM4Rx2g
zim=`DED2jfNom^p=<xTM87fkSQ5i>MWTbw@<%8w(lciGeca;;X5FI9#mRFyiDXs44
z*y!l!I5!wB2S`Lvb5Ao;D7G0H8M!Sl&XSRu?ugU_ClW^(x$3asa$`BCs;X-C#Ua&&
z#o2y`OP8ofc^CS*QZ(X~aSB(ETb>#?b6d6TDwnkaY5{^fmWGOZkHs-Y`Ubyyy2Zvt
z?TX^sd}aR(#qC0&KO-Nc_@-W=aSC<`$Y2%R8?q+9^fX{{NaWTdpW0JT?)O=eSz4IZ
z$T*ct)mwN0^cN$^lJXexGO^pl&h>Wtj9hpUhB`C%=Z{%$ft}k>lpcwca{PYv=?i5q
zlGm<XTlM+nEi#h#pP#8Nn_L_h|F~?}u)%@t`OvlN*Bxgk-z%poIkn#GnR+W=BbaZO
zf+H4yBJuqB^MR3(db>L>&-N|%d(WP+#UZ!f=&fvPD-@uZ(0MpMHg=Pg%h!PJZhiZ^
z`a+!^8lCOG#=4j{ZA#TyzUcbxgSRQgw%z$#x(?a(<^etgtX*HpUNhV8(_-f{mRacV
zwS5=KH#2iL&{7~6SJQ?FUPFh^R_^ZZD(dPl9xC|f6)<v$({yDSXVt_mgx|k^zjN~m
zyPmu&@;s#Ymad+epRP<K;U`l+r+YFCZh`W9^oWn1Th`FV)5>a>$L!>p>tb&@_{g`N
zIB~+k#U<0h*x6b9&#y7PkFtS^SAI{An1B0F#=mRVmAiL23vA!{N!s;@pLIc3+wP}i
zqeL4KvE#+yl=b_}9_`1$A&WhxL_a1Zq#&py`utCKrMB)=_MJaTSy|y9Yl6+^zJH{l
zp{bnzRuNuVDK9MlW1R6US2%T;GR4F38=r8@P8b-Zy}iCoLSiFsPm0ZGr^bVT;9zQ`
zL{W>z4fdY><=*+1-^eb`H{$(*;Xk;WG>m!pqgv!5%@h>Kgm&*{-ncP2_nXDtHMz<8
zgBM#0qJGS<adI~OdgW$-{V2IKk(R$3pZ@geQ}+E1JeTJ_QfGQ=6t<>KR?1y(85uKt
z)0zBQb=ytaV0G=3hYv|yTwEZB^P6Rl9cwZe>C#%s!Z;OvXx}9zSwTE@yyNENqyzDn
znP4<j6*)iq%}ME8qaE@+ctO(Ath@1B-Vh0$w=>4Av+6qi3cmnUNF;~P4a|9Vy}CBW
z7Bw0+X@}RSP_5g16;y4e9T^!Jke@v6RPf;BEe+W!M0hp;0#GFAPU^wBu=HPAZs>nF
zj(a*$e0Qr%l%c$MJu2du_2t6gh{x@jnVSpFX@NpD71~&p&FU&Jb`qGm*mP~j)XYpB
z02(t3i(j$Ri1h>=Ev=u*HougVorSxJ{z5sd`fEqJOHjJXHWue`{aop?A-RROZEZ!R
zo-H4C3o&-fl!e;3Amv6pc(5)(lSW#)l!N=oQc7{&;Kd8&zjvsqtLFfm-6tIdI!8jv
zi}t=e_np`9%$e2{4eo%TAnW(VRGNd5e}qs0GRGM64Z`m3yKr%zU8(aI@+j3nIyPa4
zU$0)hI%H^g?>H$%$}C4e<-PQQ10O4|P-N%k+LUz27(@(r-iSvf4I;v+DSG$Z=UW<i
zew&a9y30KGJywgYrffqOjKh32G_?H-@2ssniGS=skxiE{f0XKdQeb2xGfIHN@T*Ok
z2|Ld>->XW`DmO5_|N8ao$oTm1>S{&dtEcXAadjN<S$eKpxw!CqI%;O&$!KW;j^3NM
zZ<SP48=V+ZQdO?&59<lBqAmCHM8o{?O@b0yi%fC8yLazi=k{4(1{$o%HmxaQe2qrz
z6Fw%)iwc`2uyrF{YiH4Tz2c`qza38*c=HLaEG#we#N|-HVzcgSQ=()ttzYk-l(cQU
zzk=JQGouR4jLq#}Gy@BZi#g!4GtQK<B5}MxQ<i=9C5t_a9I6P(qQ+YJ#^#W4**_p)
z9;j$&9P#jwD%@;ghyA2y-$Uy6nr1LFHz(@2(5YvK1jCS2++?`WU_vmbpIm3E^TBP9
zVZXGr`KuVw{g=ks(I`63jGywFdcjr%xRp8f`<eBtONLu0C@2B~0tRr;a|8a2#I=6@
ze0Bk~;rrB7)!fvesA=^Yl0{V{z{ex>voy4{ipt7VUB~0Qup&h06Ka?1WM37sb;PY(
zH50B54g@j(abzU;ZHmSqvX2`|RVx||jtcH3)U%J(fpjXzkJsJWsqwJYa*yYX?O6*8
z)3&6egl01Nq3n9a(jU6=^74FIzH+s=lfZPtukRK!GoUR)hwA2w-q{Sv$FjFzclpvE
z8{*<ntp?kYj}c+hZY|OEINe~cHwtq@Q<HyT;Xa^!+~S&rh3OV_S`;K9!y+cMpLIS<
z)7-$9rc<9@6kVF&z<vn6%JNxWLcczT*P=|ESpYigE_OO!ws>&nTYvZ#=}SDavRqfL
zT)BGVM%}#wP6BGDTV4GV5_nmK^nEpCf3HDDQ~kcw)e)T?fg13m$J3JhtE88?0F{xk
zv1^Tu`&Hi>mV0f2l5*ks6jfm+V1{Ma(=E;SrS-lzZr{EgSN)dYm96x*oW2v5Q+^E0
zmB98}FW&&&uc4+M%<nQ%Dztyk#Kc7Cg0>%?7uWp;)xib0QH6fuP3Gx+KPP(Gh~=uT
zuFms_8t=)cL({3BZ@m#&wYa{>aqz45GVVn_St|ij)*N;_$Ls}d<|4Y17tbu3vfZZ4
zKm<H)LrNZ;awCAk_a2+9s;(}!8#itMV$?z2v{G@Qlf1m(c1T&7Z~Jyir676*)L*8}
zn?ps)=g2*0Cx`4Kxa2Nx4hab%y5Ic#d|hd8BLZ-u#1j<&xbY!WEGeZWbaO;j3FVNW
zZEkKh3H=x@xAeq;>uQ>iem05x3JGx+SX_KSOG~RrddWJUgGf*W34)ig*VWZYm7P_Y
z9s%S#c1M`d#bWlDl1n*{`hxNxp*ZY!o!q>S`AbbOBQqD*4WH#jHn2Z!)^E?ZJjfLH
z5fc-;x8ISRl9JNF(NQ5@);k*=@zdRxf3_ZpLGL@<5+6SKzH|@~O~c5T<xI(W^5n^d
zA59{}qP!{dbRB<}OO5Z%EUc&}R?hXC5zs4z+~Uvm=y^_BwWI?)fy%kz>r2Wo$frG1
z;(P@_<HqI#<er}MBWaxB9TtzD?vOOAr6E-!*PO75Gxk~Bi10_5ZtYq6nw|x?mR~*P
zMassp6*^s@cHYz8-afN#H>l>+Vn}?w8ru`JGwWiE>`X0$tfF0gRhlC2+@UTuH2OGO
zsF)y+E_r-nA|WfQ|BwX1qp6suesT4=6~xUZVnh$y!q6Z>&!Bz*m3(e2t6~o@6IJTl
z^YPw6eSL<LQ)o%4c7cR%Scc&KuyxNp^;flNa%RlVLhJT%4@<h_uMn&a$C8eoUx=0S
zk=-}wVF9f&>z9nU_y%NmH%QFsGR@#T(JX@rZH;@e01`*%sq52}l-WM9e&Rmv<32(*
zQS$4inUahC)j_)BBwBK6alz1RU%X8sV<9TdP-t2WyOO0PKgxsFM0dHY_aFIfEWCVt
zes{wTLO0yCYnRlRFvLhJg9C?Ezq|RWX<UW6LR3-KUEsZw{#tyjHte<zieJC;IM1$K
zYtgBdH<t%9azDaZ#L1>2p+Kv}%WeT!R|0V)Y+O!nY-~(q(@I~murn^WB%M9c*G%l6
zP%}{ctE*v^QfF%0Z_xgzM{a3uD**+tykp}h1)`9Alun#rF5JC;KRbkS<n_L1syMY)
zuLKD7luXH+88C~dLO<|yYVn>o>&=`+1i!92brd<&uN%I2EUF_xCky8FPn4eFwKush
z`Gs``U+W1Cv^OWErXMokH+TUb2MzC#L9GDc%V>BTy3LG!tR3t+8T3c_!~}M{n@BC2
zS4r6n=K}G7LqhWQIV`geHi)k>#c+)Itw;=U8zcXk5(H<R;tKY{0`#J}dEHo7)`hRu
zh@&X4zx=772q1?H7vq5g2f}oR-=@vma!EP!%P!3gDyO$hKU~p~&ZPv0iNamPHN0W)
z#Dhohhrz}a8F>XAe*(@o%CUc7AZ1@)AIf>G!B8%W{Lis2My=EhK|w({npFS^`E7>|
zA2!AL%FfFRxN?Qe<JZ?fB-^f$FYP@quCq;5QFA-AxXW-M?ZrJ+OzO1u_~?e37s@V5
zzGKIZH(gyvfc$gp-%CB|uohOocyTZ2sCAy6o&-i3eM5${&cA!NU8UHQ;^bp@9)ZhJ
zKf|Ea;wEDh6^_3!gZ%=vAf?mszeALss<^zo=t@Y&o*(Y{zh7PdaS$vHw&paXqKk5+
zAvQ`X(;xq*snM{61;4JozRg;xd96)5!x9%<WZk~=7#bRy*x3;cR9~?Z_0rOkevTRC
z^RluN<#n|HBB;wuK$fQq?RgQa_~XS$yw8W*DGEjo{}0M@l@WES?<;j>MDjfh{sfuN
zpJ<!kmu!S11O1}1t}ZL-;gcscdQS}%<mE|E4U7HyeU`VN3nkLS*rE)|wm64+*~n>T
z<X3hM4oTHhEn$%YL&L*+NkZUkQqvLFB2h<*U)a9S*<Y~aCetJ+YzNwk^*>Xf3k#GR
zNA^ZXY0q4sXliagN7C2U)=st}A*&bUz?-or<WRNLrSXP!Tcm0y<WLzXDkbgvo;Zy^
zcb|??*=C0P5j8A_Y&<+RcG}|L8AHQvWcYXZ6$`Y9VqtzPTF8_mEJ(Dj8~MIlFzfjv
zCqs1k?{02C#%>;}eqSmojO$=rrhbm!DFXw7fvaOTFDNJw+P^<$UXC<rYGczhw2_sy
z4&B=8pFe+s&pdd##CaF;gHGpsa_7~FqJ?~maUZ)E{r%`RV{-t!p85HaBa;$<KgG!w
zfSjUoX7c@Mt0mw`)0vqWolag+(a5sJncfWO0t99FYohng7P-rYE4XkTASN~|OXSwe
zv#;vvf&v2qER%o#e5(=b?@w_{W!tL{A0F&J^(-JNI@;Sf5Xe4XgCry_ej9fPDdZHO
zMvS(AMQ3NHZD+<QAvwADrhNwv#D;N5T!WS+2KE!3SR)Er^+bi^AeED=>v@O-#D$E%
zckQ>>v}u#hgXv=l%)O4qZ{BF`xYOiPAosp`lliOn@9&>FeL5E%Y^F1!N=+c@8E7qC
z17-BA6qS?x6~<O^2v92DEwWxQF5f=fM`Mr!qAC}x)M)!JAl3{NUNs)3Y@qAtsHhhp
zd=H+pwS5Jli@1uZsVRfs%OJ!u0QW(*ib2s}-LN4kfB8$xxjJ^R2AsE=hQ^Wn&xJ;n
zbuBI~7B9=qf8cjTlP>A@-GpFHVM=|66LJddPx8naPKm|I6fUBM#wB+u|AA;HU&H=X
zu7QX{woT@~X?Zi@)NEI-TFBS_c;>@xnBmQpF)S$Y^6cJ*vwJ}dB_t&!wK=2HsR1uQ
zKyBu&$|gTPzwCSe5*)Vtj$5WMi%HeLj+f&GIwbf}@o%WXF>!Iar@N3O75Fz0EEqV)
zN)V3O-t(78gkZzO$$9-co5;m4Sw>}zzqEF-F*9E&D%!tU?(*|$Bf+8i;GiJB-Mhm)
zFXP74V)s(wxD%YFqM~B9)5vkJ#a~?=ou!9ucqisg0k8V$3)NvC2%>MZ^d)+PpnkT=
zmE#7CjEwuGq|6ZNQNwz-Bn>n*eR26be0=0cl!3rBGBPp|H*Y?QvWFB#C?HRb%C0fW
zEil2#qX-{OVLzO~FjCdRu#{t3LuK1rzyQUC<QuYnr`giNZ-T-pdO(SiyoU7sx0h{S
z5i>%s8hn+*r`ok%f4-y`mZSYrK6-TR((e)Oz9L5ofcPM_9TcR`pFf+R*&=u~0_&qe
z_ymLj7^o=W^M&<MV8LJ-T8xib6-(8@+?Q!W4n4|m0UkjEveE-QJ>Q-SiKS|AD$gTH
z`yBcc{nAUjK_=1wak#m;$){>xoQGcWALK7Ci}1941VM=a<du=x48erLoPMiv=)jFq
zuitxjsKt;#V-lB$7aW$C_ibi+bdhNOKE1f^INmM#eCf}a)I6Z5tN!WJgXmg6ec&WH
zpx-DeEv<R`c0I(cxfY)#e>70$=wmt_xO%fl!gh<IyZfj8c|V`r>yCq_!bbV~0`*lK
zz1v9bssrskJzEk5$Zjr?-9GI5fcN_->-X;hCd(W=?dk5aO2ZV2j$t=x|E~zwXe%g#
zTeofn<*ui{RPH_RF!kv$IxFqddT3eEnm|2GfSQ8-f(k4TIzVb08ymQ@c!30=l2K@~
zekMTn{LDnL4A?vb@C@x3?QMoaG7^Lu$X*V;cXpo+LMb=@+MY`Cotfx0|NUcV4!H`}
zFnzoCr!!dFZp07$2fN!eavO%gV}V}~R)$ub>S}7WkJaxoZP=h~5sL$L2(el`La>=t
z{?x$!PhCU_ob5IDF_`2FN}i}~fFPsosq0B5FK=!)G(ff{S`IWXFH+(!(}o-(k5!{e
z(0tM%OJ=FAYjys7@J2yh695$CemW8l+8%(o(GO+PB+D`p$qOGsA^w>UHAeLnpu4K9
ztD`~=a&UIe_|bQ_jJ4-R`pt+4Qk{OXT?xXXp}AQZowPxreP+H!f~E<`+Zb^x7PRka
zy9M{`VM4z`t;y<@S5Q!g%P%Iyflh=nP&5-C5#js&y92sUDhld#Ye-O!IiVCmiSfU4
zhYd7$FnoYpKs}L2M~)onEBEH?zdXMiSS_#77-I0{rQhf8$+)v*J^!H^=prs55h%~&
z3nyu(r#U$O7#a7yvrCW<Dp71ce){Bx^vLz+&!3J5KHd+F<A~Ik316=X94ZOggFhC9
zWEun%%N0*8UI`Evw-9}(b$gMW?P}wa&MuOUqd)5y;7ohFHh8}p_*Ds3^5Vs|l3TOR
z*|n9GB;3E-!klPf=Cjh<Iw7H<0Vq=73F;O{54wEa(3O68$1N-M0V$J861+Z>#o$c9
zL=~--TwGWnv{n8Mw6~+9KjCg)APeR-Vj(<}t0L13D=u#__Wl*6`+i|zfzYO5#55S0
zRkV3@X(0~{gLY9_!NgDCNe5TgU@RG4RWzYd=#Q*N&OfH`3_7kesCRUh5V)>}g>`&U
z`0>*-q<*jpl+sw)&-mp9YJVyQKj77~dpAW3oqBZZ$l;}>`3uCcCTIz$n^P!8ywJ{V
z;<>$lGDEJrqTo-(i*3cx?#ltcd*tldq)vC2$-YhU@3zd{(Gs()mpIWYnW-&6FfM!Q
zzJqCZ>h1R!+dY}@BT4gdeEij7e|!6e`%*57U_T4hg;;I!$G}5FMEUuxKfV_L;jxP$
z{)vi#BT1*3;F4wEUU|l)heB5aI#!V3hV~HH7y`oT_Fi&w@>fn&KueuDoi4a)ynpuz
z20jb(P;WMFo;f#}jL_|HU%*=7Z@+woHYQ?Z2UFDh0~ujAy?j%BtJNwSXd8}E(!cWU
zlHEP;Xmt0P%~4}xZbWT8?61sBOuk^fxdEyB?#o1~NNaF~*Q?i#jE-JKPD{+o)807;
z1Hm<zAMZ=Q`7fAZ$B7<^N%y;wcGh0&K-{7|sKF`VWxbw&1p@1kDGrb!(frK{jk|t<
z?Ir>m<!0qf%1ef@cHU?@I4^alumY<yd1K}+c(T@f8@)`s)YMe4;x9l!PSr5VSx!JU
ziSEB*oNYpOgIn$f#31MKZf2H{HG}oxU8fcwr_Hv3TP0*UwB7V*y8r4eoli4MW|h!B
zD2H(niseUi%|Q@3kH^b~VWDw%8_>28@*mO85EL2eC@i|wfK#H#R8S%+Yifw<)%miw
zt?gOkv(o`Yc4&i_6@gw`S7$cfog+1moM>uhR{iT5#S+`*VxMJM*isWZJkKJ3@(T;o
zEy?sMr*Dl^$@A;_Wd$K&|HaQV$e6)MpIv|E02#sjQ6Tyvo69dv^mH8AXcMs7)=8W`
zx$6_x5aA0h)usAt+%d7)5twkfW+8@GWD{4`%=@&!bMoJ2eQhep12_3*NW2-l|BQPm
zjDS)SMqfK24FZK7g8DPud_O&3grA>=FOpy?`wE^s;U|b3;_eKL*!brY-shOt(>4`5
zeDv#_hMT#js)`Jpj{G}^1Q-PPP#Vl~*x|>JGM~0l+{R+{zG@8#P8<+(ItGPox^x%n
zhX}JRK#&=Lg%sIM<i2g&wps3G`}6&yQc+3Cf4H&Zv)(I|Ke|NF!B7Mp*wPUi;2EFl
z97G+U1NbAj&%Oe%`ZmeT*I!6YO#c{adSfY06nnic)S@q+FPNJXS-=b#er`Osg`k37
z-Ir!Ne*E};hXK;~_&Cpoa^E`_MO36O$3Y1SV&uND`*gtonElp28OJm<>OmC|)RwTr
z39ijYRaE3b9=v*$*OG|tBP!ZuX~A7MCgT46FkGK%@C-;^Pi=vX!iGhaW&JQxGqbVP
zQ}Tg8f0TQB0hci_I@;j<n4%K+;MxJF;Ywss#f0o?_kc#7pC6D&tAV8MF67Qrdg;NF
z<{r5rIxRs&V4l2LQ1{XOR5Gp+!H5;Y!^%LnjP!O!-cgcAl<a3ZH}{eZzU|}CP#`$I
zgd^cxaLv@B!OcGRnj@6!V2QFjn2wtMer}NX@Dl9;D5Xf&3NgO?o05Q@$RVcY<`fTY
z^<O_ZkvQ<}8zXf3q?8m2{&~~W@3+OEg(8?U7^|)b>OD09<0s|XiEht(GI%~$uH2>(
z90J-xc5zE4^gkwMW_}_S3oKA96oEeX;A{i^5h;A%g%7pYHVS^#Zl=qO>~(YjVn9<$
z=)+#$tEgkd&aXqQWCGTO*g#0zeO|PLQjWd=J=S%c=CfzdI{cQA{#O5X^XARpL2uRI
z)PbfzY0Nj8Y)2g8QV9VScNDz!$c+I|T?SUz<%rw20}$v{Jv|&CA4a=#w%%6V4y|kr
zFtGi_o)m95%-kU7VS}!YkK2L)z4$E(-XwFRTB3%_F8(};c;yonWhS5m4rRWuzOlgT
zj4g6Dpp*!;3Yj4rlq-B&gj}y*<iOigVArJ1cjm+0$;K$b{a$l>&=SwSv$3`|n8>an
zyah<`mTw<35HkpQ)*ZCwb)l)^WoY4)!?_qh1Otdw0%4;OP{w5xe~W_Lmk9Tne!16y
z9mnro1+`_0FYmi|K!Xz(0CI-$`LE8?OtgUp(-ShUu_**&3=SY6B_$X`6NH+~zQ=@w
zv*1spa^zd0Ye1%an!m<dDe=I{T#OA&#kQ}LBCb(d+6XE9hvk05X5QDn<;*5#z5H@@
z7JE1Snf(?H|IhQ89-Gn5OioyzAhYVFbBBXVst2ecs=4!6Cj$=Q3)o@&v$OYP8f`~7
zD1t8|1~`r#J2rWu^-a`yb@VR~<J^9A=!rr(fJ1HUr@SNJ3X*y&i2BT_Z~269h3027
zKoQXrkSbrlW&pWYhdlHq%UF((PtbS}GYls;i3BR!)=Ll-<$up(Pv&v|8;_mYi2jR+
zTqytG^(jyra30fiwg73_dHr~~lZZ}&okGKM@s@t{^v|D!ybSfs6#fuE(}y6R^$YE{
z=w=y(K?^noF9mu&s?!ndHqqqV5k508Ik^t_ZPKj0v5^+y))j-yI=C}J2sRqrb5KrB
z&hc-tcaDqM)N43l0dRodlzV%s#q1&5BIR63&Fw|f)6=^r?RtYwN)DqrA3uJa!#=jc
zZ<s0R4T{FP>G$y63pl^wz(hO;4{lkW^;y=l)7*}f3=X)8INamo^mXh+sMyclxOHni
zQC{FQc?3pi4jlMYho12lwKoR#-v_FQ>H{d`r+!ybCuSHaOA!SUEPN%y?ys$h)Wk^6
z+?*TzroAgxl{?0l*9r=zTep<TPU)XH_thih^U#oj@SUxodX&Ye2|CmV>@qQ|*05Wv
zZS%Gy<+MLby8IhdR8{@T$`-F5+<AEYCXkH8B13@Ji@hOAMNLgjV0$DVqe1N(pg)hL
zKJH&!oo&nQ`d2Nr^$mxjK@o(q@%N={pcNqZp@%1^Q_`xBC2&uBN+k%VYdD;VI_bLj
zSZ?fhTYCq=pORKQj^Mr96Q4YJV*U0F%>}&mb?Y(NTZ}9G>dJ2`z6jzo@s5>G#h)ub
ztT>TZfB3gS+W&eS)k^X&(Mlz99{tW}N4j3_6FT>tgT0+k&Xmo?eUgxM8m5OJvMy33
z02~+3KiF6XqZyFTrna_y14H6ef5&<An83-zNZ7Cfj!+*wco2OTaY7JcsXDU6nX9<G
z$P=Y%YH3Ns#>Tc;)=OVdU0Zttk!ElV+1c42qTz?s=IZ_6cy1v&d3bnkdCLBE-m2@y
zvt5B>17alpe~6D6+QZbBlz7DiO*mo^+y93~R_}P$U<mX=LTWa>aC9Nxx0+bM75m|`
zpeLNX+9SCXBtjKLDXYRk0hR#S_I-Bt$hmVn?kJ~fn<0%69U9>tv9Ji-b@DNfghYOi
z2Zrbvp#v#uY27^jj=>JbDmaTq9&~LZy*K=8El&#k{_|%oRyzk|G@9P6==9+p?D%u#
z%za8aRuk04nEj4?W@ctga1;TanuD6|e(o-IXA*oN6eBP=`+Z|#*a?$L<LzBiS8lV#
z8VdWEPF|DT2`iJzv12tjO@w3y2kIIss?NDN*j=k%yr2Zz2F;tGVu|yKrn3@=D^!$J
z`M)D)jne<fUXVw_RQ2lBc<~RO*GCKtIA#e45Q=18!EXI*`H|eg|Gqc%j9nQa&6?H(
zp(>V~kSjz*1kZ-<^}VHqB)@Xn?YnoINZBZBkDt;K5pVtEKUq^3`i4H=`J7Ab&ZvL+
z=#tZj&V3Y4DqqNwI&oAaf{Wu6J4X*TG6O!0an$fWyr@}}WDAdkRDJW^ec>U8_@Zy#
z)UsLv&0+$5OsDfCT#m$90GGQbNB<R^RNcS}MT=;$UUhUteHj}Q1DQMwL(h-t<=NT0
zQZ53V2R+1R`#L+LDXFP#qFQs$Yp}AjKXLhhgk}K*aF!(`04-VU{ezy-+qZ4ogZSSO
zr5cOI^O&02=NoHR&8BCGS7V3N_#*d+h=@erx^>d@%;V$t8%dT2VJQU*{JzN1zqqti
z4B~ociHpt5Wa+nO*av~-<FAjJ7Yv>^Hm+j_e%?HW@?@Uzr>pc|46mQJ{KN2Su=LmP
z8s#E%ffI{le(BPs(E7oSC-w+(gNd5XPF=x@#w99v{WA@VZ$exb_4fAeghjdlI<~-=
zinGKyX<;@Fj>gXyi<@W88=L=sn^yzpZ{57<EPGc`N$C{eD@EnA+}us(B@+>%bs%+$
zFE#3)I&FxK%La|^`s*(;P|3z&$!y<c18>nd#A$QP3xYq^9{a|`!C_$P%`Q04br&<H
zHXUgj2|p|(St!yrQ4c)5)4sUMtxU=wSBHsGB^#U?JMwCf-L~i%+1;nM)j@)sOw;=x
zce-aUfB5orEw~tXNP!J*-@dIKXAc`Kq4eVT?E$L;vuSLpbTNPgxK?yNN+U%8KuW3F
zpMVUahVS3KOLy|*TY<6P@6N}6L>(n$2>br>FhXsG!HSHuft9ryX%IpY;X@$Q{)*)#
zPN(5lsW0OnsuC;`yygyQOP$fPe|tW?jsUnVvh(z))#T=CDfggwjQ18Y5>+&qpdjJD
znfqSDDEP_;!VyG}p!j%h*OYFsLeR<BC2iTE0EB@E`iM;7_H&dOtl{^*5pB-h$y?;c
zV0qZ@IU`hS<`~w-{ZAUUS@vIOST5sRlJvLp!@vR!pt9G)3Tmxg2mnY<!sbOrN7o(9
zYEIKh|Nd4(&J=`Yk;@pX?C;O(pTiTlA6;$O4WG#WWJSf*@}i%dIi;^p(9#42dD7~4
zadGj$lv~scEf9wSvI+t@8)Fnn$;qb3nl5Q$@QY>xa>0SfyJH6xun?i?L`FnBjIxKd
zg2=^SC6F2NX4LQPXGRNH57ngFTQ|C^9!|+{Zn-+RNkg#0H7{ST1xYJ4yQO0@&D|36
zl^UsjH2H*SZ<rnY{n}@)(OI!Q)D$$~*(>jLT*h9uIAke$k(af7T#=EqP%^Kujj4k_
zQ<J|IRgW;BV1T9?pNSCwm=;jL4i-7f%E}TDon!)<uDi%_>!ZZPkC+|?Hh~0~P<{P`
zpr9b0C}9=0)u-oQC{F0(3tqO}*<^4z)xp3(Mj}8K8U`{F>?(pAXelrM`LYwmkwgLy
zNRM5D2{Vo^sXY*!7TaxN3gh1W`=CWC7u{xOXM?k{vN}bFT&!@2NJNXo4zqaY(=&AV
zUuNFL;?1aITB+JL{fL9sQr8QZ{=V5;U|zotR%OD00vm>lY)X&it_gM$F$|5P0n^pZ
zn=I&^GC!Wt*>xcvPJ>hjA28E`b~W%|bmv*E_w(~h+noY>g0LsNdi~l)TZCk20Gi?c
z%*j~18Q;PJQhFb*l#GPtvYs%@qUB;^yTfs3na}d*MA75F=G51h{%KC#^!Sk`e>Mh0
z)Z)a~g45f`1;?$4sVN!kfN&uU7U)Hy8zbDSX!A+FNZDKW?qwmMziYpDeeyi46r%Qh
zMYPiqD%-%g5gm!k0q;NJ*qSK}J7L<{aVT)rrdtD8t2yG)wR45B!u0Dg+9>kvUs>3%
z((`<}PJ~5B$r@Uhi5+nnyNRy!@nb#|ZNfHu?V2CVz?}hJ8r1*EN&5BT9dTR@3Q9MM
zkdgb)Mp7ksi6W!jdt>QgnkKBDFu#6>hNc&zfge0(#$Qq%A(^~+r~vW+ntr-V*@Ky%
z?supS0KuN-t0!pkh=_#uVmGCQ_mh+0Xvu%t^w%W%t8lchSj_j?0kXK<$JX^og@p46
z41h1bvl{*yP$>D0i3JmL|4vU<*kh*Xb3t!UPp80sEj{cgzkonBsJ8sCKXAS!=4aj-
zit9)}&Fm>Sg=T&2`W?QaLExYs^e%OtzTh~Kv@l&H3y{qV$0W$hwjNo_H$0%4tnJ3&
zvCW(Y=##>PHSEogJ33JT;&e{0N?kPWscU~L&biE{%YHmbt4jCqob_43XRXRTRN>dS
zst)z95i4o&RTE0rd6%F3Us^*!c92Mi_$H(uqW9(qqaqP)^IsM)h3%-dwZM-bKb$>e
z2vQnUAI-XTb;z_u6KDoII6U59;$hp)on3#t(rQMgU4(^ht0o^WNol!@$)%Fag$pN)
zan(g!ds?35<z;j|OKZE?lLKo2G+vsA8HMVgex}eZnf>|srK9}A(1aMAp2(N&FQxGx
zkkmSQqT}Ld(J0Yx-p_<NG5^l;l-}=eT}R{BeTquAI-L;)B8^lD-)5el3#q7dT;x`C
z`wg2kpcEuUki#!9ZQwFfUsqR+{4dC($MsL9PO|Vq{|!v%kV@ibby8bqPPfh{N`aJu
zd*P6__U-2KVew6p|0sX;gGBcFYRV^Cr5~KL=T;2wu}Dg>kWF<`p@AW_NxHvp8|TS|
zLk@eCot>?0RR*zMQ&aQfo>-i%tB3e9rGJB7C(;Od%FMTmr!WqNi|nfbC$MhaIvlMi
zVXL0xV{D*S&ZL(E?UTi~9D!p?K&B4%07BNE1{=F=`}U4euXF^!qkOMnRM7N{>+m@n
zD6^7a7Ihfw+}-`|oz>z&tgn8`^{XY;sS`0RBZC+hsD}Wq317j)*dp4>YEadnP&!@;
z;{3tE*~cXIFk_?v!0xYq)UTzhe8K(CuQdCOH{$XRN2(;fRZeRIO^f5syM6oNltrYv
z_Wki}hmYCS>xhbp)gab$Fz+IqeL@(`Dvo9yh9Qc7G_5#9=Rohc=*n9opLQwR+S%C{
zGD5rqD`i7@^Z^5t!KqVUggAXb4c>of?jkUsp{Ah`tjXVQHI`|RpQf|K5VA6oijGb}
zFZZeC`R;Ya$;A=Zhw@8Ko??Rp`u)d`YG@2^fUICn_yo~OKldC1D$1Ee8Dz_k0O??%
z9wD`YmLcZGKxz3ga7vm$_Ub!K;3#m#!~-|*^aws&z5F}I{>B}}?Ok2<j}Bk|PV`4Y
ztma55F#A`cYQco%OpMQfKaT-yjTSz0jhHh87x}Gh)+l*8oER{H>O~l;L&L(RU^7+Z
zVQT*<qVMR9J-vpQz*+y87%q#kll1~yYA!&#0-eWm;J_y2HB8FIV0;T&OAtmZJ|cev
zg1=^2zdi^4HO#k^efZj=NzBmIqCn$qwMf)@6JvHJCcfxY+&n!8{TXE|p+K3ykbm_m
z4dJK+X+ARiXcyy+?w%e#@WE&@4P{+oQxbOAwf;Nfr)BW~#2R#EG6Iiatd5>bh8;L#
zKl)g}i=tvLm5w+i>8Fh-f1(Zp^3V`XUtHUmU07I;#UY*o0mC&bpqqs6vw;S<R0+Q&
zI#qT6;rVe135m?9vvnH@eqit3y(_dPw;UIU&KCe0sU6Z5ka&qXNz9QD<CkzVe*z#S
zTH4G;pj{<6=5WraAYKxi9k%ZSF}sIu&mS`-#556f1cL6sz|H9tQ)z~TPO_Vr`5}f4
zvG&#QMxM~tUW4%aIr*LwaA@Ntm#qYpac6#6`%HPBSNNY^PLMg80#O)6x&m-W3?6cf
z<N{j}7DB?#i6h0sL^JUDa{y2;lxT-9VDbaum>{f#P!v8Dlol0fcONb>1ey&{<Sk$L
zag2DhR$JT6yS)kmQJ;XO{3<HsKyXs0YSW@3V({u|+k));xEM~lY5S8C&@{jhx|jXp
z`2wC3GD<L^>I(|e5f*Y{5=p%RdYIaMsg1~%haDY7(czdNm{5%f$<l55^}Z8YTI8VD
zp<R#t)U|xdk-J6j5dQ`<V)zt?1b`vUy9`qs;V^R$W&`%UXK8?!2u}6|oACg$^YCQt
zUxrOZO)Y?MigLNcUQgL!2Nfuv;F5_z#jj4w?swqq2@VaM%tv&ydn6@;(0*lp=t}z1
z>!^dzbokP?9j&w(;=ZA=k<jRfjUy%$Mi-zL;J{FjKpG`SL4ezau~UN)DMIWcRvWx)
zj@R#tIHG1%ev}3^&9Z++x8lJZEA9m7l<>J+gZO~)r}i`<tR*qJ2|elX@#E`&w+TA{
z9DfwXUQ?79l7z5K1~5lZo-GmzuHJ(=9G9iAH=mkBDr&LqrXVBqjJ-GF(P+rcxK!e?
zK90YCSP;i&&z|h&V{{VxFgStzX?XoQ(|LI1fkfgWI^I4&o7lXn4<86&R$W_(V3ow9
z<1Wv36;U5W6DEpLN;r&*+eB4Bl@b$r*nh&uN!zt^C#Fcfu=*H-0n{h?&dZ${U3m-u
zla{N*x(KMnr_cMvoIkpag#dGyHc~uyZrDi=Y}(ZV2)Tx(mly!W5VM-8+9-ff4nBL#
zbacGE!bV%LLT^RfQ4gco)<JpX!M=lVDyCs>$*{zEEso5<^l#iIxu&F*o{<q3G2lZm
zvC+}d*hH%MmMq6Ni89}{9u$CG%3oKY=^ME6d3k4Dj9%;jXu-5m9de9I=dI<@#PA2D
zW;jxL8`;>l?%YYOn7{;J0aXbI1Nt5Q13qdz9;XU#;N3tAX9va{ZnU*&U43DO?W?S<
zT_X@hOC$@u1kC{?8Db^|lhu$#2u~umM+sUc`IUz~^)QJzV7eA9r#vbujQTAdcUP}0
zqE0u3^b(y0C^ve1Fh&QgGB>>*oLV9K81Qo6mXXAyq%|P!HTgG?8a>A0`$C!~i~&e?
zz;9rmSU{ve1|d`-Oau~h-2ClJqawn>%Ame$%|yjH80NfWY3b;u&?a*HT5}>*+rWZY
zRO|%Oc>ArDCMh6~-Gw${4F>p#@Pc=@(=1wKD;^4S9QT3tRskP|PlElM>^9|oaA8HJ
zqM@QPZr@4R7{hNYpaCJJ1H!BUeg^<&qFICA4MkW270J+ZqxZqob0V5m{DWqChgA5F
z4?96s|Ni|O7#PM%>iCvmxZn|07<W|rOK`TCweOPGLMnu0LyHJf*{YS^fuJGq4{%v4
zm=RJ*dN(A`Jp1<?!^6Y;LPDRTr6k0}2!Fc(y#b_c`*o;Fw+vn@pvBPC((;1>kM4|D
zM1&D~M4y24-@9LfyC)305clfgu^B6s#Xkr{LdSss<2W6Dn_5(W)@^ibED_N~K<*#Y
z)5TmnqJE8Hn%yro)$0C^Q{E*RXppR%Rv*xlbRg}d?^!q^*d?qt5CfD%P(YrXFfOz|
zQ%2CsabjVLl<JYRUa3r8i&8D_XSNPadtfjH*Ovf@*5fW~&G{2+ljWp2=uR%QdZpsj
zF6$zQxz82X$*3CfBsh_hwqQ#B=eO6nDC}CZSCsybfqb8Cr^yh4TPZ<PUPFTs+A4ZN
ztaeB9^puQ3c#rj~XCR!r2sniTMm*@Cwdq5#(@uD9&Eba9E|LQWjP3#^69@&4iJf6g
zBn)&YAXO3O*b;#xvevP_iyc-hkzftXF!>EAdl)P)-`1_g^>Ac;ExmzfMr2rS5ZGXJ
zJa}&z)7L(hC(kzUKfkvwOtHhnLUkJp!2~0^X#>d-%*bKlE!4asu>?%{?>-J;pR+xL
zkYDanVfF)+S3r;Y8w$e%qnRLobnwU26j^vZMR>hG#+=}pBs4aAi-I^Quq4W%?8M`m
zi0#F86S@ktvpYM0b<k!6<HcYqiGcuA0YrJ{tW`%h!CAokHu)P%I5kzzz3-H_%0yIQ
ze<K%yyu<xI8PX+njHDe028?)EuR~F!1A04q?%YKy99Y)f1_6kN8hBWczhm}V&}yAL
z$@yDIkagomO5#a?On(k*rjSDLKnS=owEJC<30W0RYD?w??fmS&bHIP+XQy6{YsfeN
z)jTXAnm8n>+N#rDOg~tD{7-Yvf8OY`Wq?m$Wo2z2EDixLxpnt$1}wCagTo$}0GVK|
z8XSbDnV|dOM<beZ4D?(9Zh&uv42O459f?Hz4Gbet{E68`h<Sv&7jVj5>ApeoihGyg
z^Th*{Lk2~de48Ymvw?G9Wp^6h!R9fqZyyd4Gbv~Ux^vGn5<nC7!b67+Rla+-2~Th%
zHL@xd|JTn%ICOrV#mt46J(a{Ilx*(#go^x6Pq5XF_7|$rF8o)L?Vi7Ct0=8*lQcSa
zDwrjvME~8xA!~7tOE3@4V3<A|!)R2yuSY~b{dZpa$&cw%Fa4?2qT-kP+;w(JOW!3k
zK`RyYn5>d8BLP0tAb!Sxj-;JOnF^QT2c;+V7C9z1=Ri+2=Zn0WoRp*;w|td(YfM(w
zg{WW7j*g}fI?fTlkWTT%p@hE{&qoy|#<b=!)6wnut*jn4p?9E?HkpUQx%=-f)hJhZ
zrtzxTn4BC@!letl?2Gz(C*siu5D`Wm$X#BD!PD7-!#0Tpp&qbq+Vql?4N`q_SwoJT
zf&!n4zm>$S{W%MZ7fD*XJRzB)5jh(*^8O}R;Rma1cwT1#p0bbwC?!_c*rV*=klne2
zA)<>}>X^YK?9Sld-@b&m^B$QA&Q@mL0x<9%jIIcb;rurcWJrPi`$qU=V-N9}VuV;|
z=gwd_hhN^>8LP>E7Hy?LJsts(i_;`lx75YT2;Viv{j1lIlO0o4ZIfCC@9{OS3JzY_
zq%m!70<MNIFz4I9k1GRDDYSKKVxvdJI6&nc&l$0lzTAnv{~yL-jwsa^umaXW%#Xn-
zb8>b*3%)5U`#52R%gxR<LFpWa2k0zjQViqp=)e$SDPhzl9<U&3)wXSBv~?@42u}f#
z`d_TQ2{_hmyEl4Qs6<qXk_<^AW2MYfWXwD!lpzs`$dp+^gOo(ZP-Y=TDN#`<nKPA0
zLNZSo+P|ykeb-vw{`T7I*!%d_@vOC;-nVq$|Nk|d=WjYkilMOp!fg%M<fKb!d~94?
zA@G1g^!tKefSQSchqgU&q5`)#q$DGsP)3$60g68Z%pnJLYTd_=k)=<c7NQ+C@Ot5<
z(=@s)fnY=!$k1dE$`*yaCA6ZZ*MA#+j(%{j8Uh}EX(ynO5`$>dO-8482A7%5{Z?R^
zDxhe+T+QF$Up=7Mk*yh|)m+mzjuwmxpntC5>)^<NS1hae1#+iT=Q`Y^%%82_S}{EC
zF(Sca@yvX|XW9F~Gad-m@DJ_)T&B9G|0Xt|QobA(R)OV9q)xwneZ%|bxcN>PRZT)4
z{7(#klK`3M$6Y{F1AL*`xx@J2989#tM^AcO<OzLxaq*d99J<b_pY5A)#X|E+fotXp
zU?{>|;l;j0&kXo8xka<Px_UJ*a|P(wQ9P}#Vj;(Ox^AXk=xT-?mJl)#iGc6I$Uz_h
zr$^WiIVXSU{sO*@@>hyLWDKZr@reT<-NRY{(5yXDdN3Lx9Z7DJ-!<bAYjColM0pTy
zy-Rg<8o!FY;?N~;XJab>RiSo0|1|4S2t|SIj`;zrKjbyV`){Q(g}B^^gKTboAgOc;
z8f=0xpzkknB>p)hOFjmo1NJ8c>UL8b0tW-#8=IW$>qtgqg^P=e@R?7-r0c`?tAqp@
zHQP=Q@+lo&PtL;?ZnO)1mEY1dv&`a{VnRv-PGq9DT%Jt&qi^bqr%S9R($`U_VLuhX
zCrrefklpM;XXpxUL5u%5nij&tp_L-8J|F<izpohZMH7)no<;dJw21)AUf~H-EUm0w
zU6h54iW8?jbUPHnaGd;H<_Y`fMlLQcSpP);;-LAa5UnTi#^IZj>_vR(O9=^VMtOL^
zaPVD$B4bmGkOdm8O(b#S*RyPqmch0%)D=Ng3VeDp=2NHt)99Qn)mmTA0Qu$SSu?(9
zF%`D8oI=bu(pOCV?6*{-_u!JDQa-S7VzvxNDqufce9gT58zywM`Np}wg_^S6+asXV
zFhBW`m#K%9MQ#&2!<+YaBiFM~eCdUzD9J5X82q>0XQmB-h;cV$n}5?N#KkMXm;zcR
zjBCsXe0Q`hD=7rbCK@%k39w2wu(MwWPpI!9V*meD#9W=e6=V%ILcMen-WGWTD6}aQ
ztf+J73`m43DXsp=4LJvhi9m^zhu*VJ1gzh?mky_*nK`U3EHXZafEh#(y~3e1Wh6of
z#y~O+RcT;nVpLQh>=7^syabCa*ZwdK6cQ1~K|+-?vv~LLy3^GZ=ee;HV7D^#`OuD_
zxp1H#%~JDR_(?R-3;$@K$<qFp2HH^^r5Qo`p)6WQA^1OW6r<e3?q7+*=m=bNTLjJ4
zQ0B`2EXYDko6B+OAC2)x++4J^=sX!C-oOlN>gbG%4pN#YhR6Qb$O`-6FDHwW-OcoH
zv0Gj-=&*%&Ef9AQu9+WH4QMk-p#+2p5iS{xq7VZBP^glA0vHFv%7<sa$mEKhhKdHA
zuObIyGPX9sFR?aD>c2l&<wF<<tjq>zb|9IAJ>p!&8|X0{sLx1AOBW9nfeyKI_ii6V
zDdfb!dDa7AI4&CUOhNIgd;gv~efY?cKDdL;I3xi{A+%#|<jEJP$Jq6~KGUZhT@m&1
z<Hz55N1|)0BW}Zia|jna1dYc=SQ<~sIwSH-MmYWHne`h_m>iLEGhZ8A<<+u%da)*`
z4EC+G(;^`&<G{Gk)4kjjR^xk%d2_%XCi;n0&*I_2CyyFZ_^&XF&jB1QfV2*{TEes1
z|3&&d{%6QM^jR8uPLgGXYGbU1Kc7N5njjH^{MrchO)z2MCS66Lp<_v&W_^!p3Aady
zY3?QDK~NIznt_sIk@mtRE+0g50$3w@GZgY6+PsJVEH9NVq4Okt1_ZFBj(`FP^77ep
zAVDHG%@tusaKR-+e8dfg&b39N{CiGjM*%{aUi?}1#!<lqbv#5H11qy7iXE%}Ga%#9
zN;lE=KZeQPaCMU^jv|LkucT*<cI%}B+vt0HdkOP{xMSGTsRrtks*w&vDs7@mA}yN;
zk^qL6jP?E{fi~=}K}yZ+oAr^+@_NO69a)Zdahwrem&Ixh_)6)>+2_++@Ia_35Ny2x
z`bVK4n1jvz=cj;Mx0slinTgz%7<y|aqm9hJ$^@-=+1R)d7fw&21zgss=HFny-AG7y
zKTW}HE|2^K{#*xaR)Uq8l{l}^N|b7l$ityd4DZ00NgfKIEGuAR1l(G2t9TX^Ktg>R
zko>Oa-cJnuihhroEmiCj6=h^*UQHnn7+l(Lx^Bx_1_mNKArV=c&#?cAPZ*t`Kdv80
z-m-owVU6BvaXcU-ly5$yvBtCD;l``2u5M2K-QB}C_4z`O?MzJZ+PrpAh6+PLD*EmN
z54SW^Q(N+FZf<X9e0+LUOX?BEJ9m;>a$*_voptp7Th2vLj?0UOXs(xx-OitX{lBMi
zSp2_guHANMS*Wz`1}acCUd2kph&U)R+-@A(1o{FHK#9+MVQUDLKdq4Q-K$%guhApN
z4&r5s&4oB5ErpTH1RO8`1=>m@eZ1BfcrE~>?)Ta#Eg&XlIG`Z-UsF5epIxYIaxBS`
zoT|6)etJMkN(!<8TDUS7aS4OAYgB{Ad1ybUGYV4tm&AmVa1p3c@rQh+)AC>>3Dtw(
zJczxout^%8@&iYwp`r08FCEMP;-^SA`>5kPP6<F0i(mL+T0Bud5bT-ot*1_%A{Z~y
z*WLiYe^iq-w1DQFkqG)+U0<QcBVZ#I8W3m$$s3RHCP6L~Ko@LmVj`c~kc@THbq@Mq
z=+Y_)i%m2Gn|L%{l29eon)LtBJ<XnfD0We6uMRVD?Ag2bH9ClKVD9Jqv;*Y)p-3VG
zFulx`ezYmUNM^z1pRF<bL2~qEYwH&Dm!vuaOMulD3K{M5zmeAIEz)5?I4ad@zf-=B
zQ>rL#PJKBqBN2OnQW_ik+rR*UI?R}z6;!&%JjzVJ*f7P#ReF@|c44?ApAb!bBHJ+X
zI@_uf^xwrY&Jt)BGO(+SUf$lM;$MUO9DK;)8GL+sqRD=DJv_V;g22B|-{}KnGSA*#
zY%P+lsZWw+fbK5A|5X#p`g=uY<NpYk*WjDMi-m*%VD0O=Le61d;B0s#czNDOhFDO_
zCO=3L@RZmylWyWrICb;^x)8-&Lvmi@q*6(rc62hem;63CPtq7f&VH66e@6J=!M1It
zNii{@_@ck&q2yQ#kq<&N40p?cKD>sY2V%1AocX_t!=<UMY#a~4vO^HBPDFx80arto
z&+By0KTESBsQJ<Rrb6H42KVtju^#~4QT4tAb)j(L)rYgKT|_Fe87&d=cD56^cz2S|
zy#oxY$mKxv(^b4i=ZZ%YJt{a_0HU~g8R|1l39x$^%V@3lH=TV^;ySP%@Z$LUgI@^#
zM<F<M?*9IO=?9%><_E@b_LtPxVbctMI}1*Qc;X<gV3GBeA|-BgG&LmgV6zl?ne5-I
zH|h`VR~?39)fw?0i(mdMv7_`v_(l*u{a553nOdo47kP~L+PB?!;W}`wRfHsU!<!-m
zi0paCqU>DHDy-)e^mC;AB*F!77Y}QyCZLVsJa{n18^B<4)qvs}PfxpLgg~<l22`)w
z|Ax=$n4%6Z6Zs~<KyaG_L?b>8UZ!vwffz<zk$3$0FBh%+?kp_4!v9lQmYhmU0c7(3
z9E8%aHBNUcwjU(CR{yfxk;)cj4Dn*Y&bJEtvvx`N8gy_-VH|Hb!d?Mu9MqafL&<MQ
z^Zb|29IJ}Rhe_H7jEx36_MznkvS1107!-ZgXjL8}JJLz?D3&SI?c0zxb_n7EQZ0kk
zVumsw`7l_mFp{UDK_J4M#-=9zy-j%YSpLYac!@)qAT&_p5>8I<zD5Oz^=nvvs4j?U
z3S^Lq=5n2Yn$?rOaD<l2b1?QG9F1hgkRY`_H2K662Z>nLX5)Rr!g4@SP>cqXfC`A!
zNEiyDEY{%CyuvP<c-QqS$bS})S0JTA(Nhr}`$&ldz<$C7k`GQQi+^!@k1qXsR$59j
z^7svNGIZ)^!a>lIJ%^wA{Sr@IqBJW279x2e>1ZhJ|8hbQrD!&qhkgHeExQm;2jwJ@
zfD!>X(Ng};2`jeQLvOzRlej@_l?sT!BR8B`T^biCn;=+7QG_}J^#R}FK+PIZ$SDnI
z9wKbuAv8p0aPs6zY^6mgjzIZ<$K5TA{hdp+@S%`L_n<K(FAr{C)NCuDP$BmaG*nf0
zM68@)phT0?2aV-iZ-mhKmHV&W6IB0(BF3Pkxg9^s7|fV`d_Ay#6KDdXucN}rwR-V;
zh#$#`dBxjxG&eIb2~&QeT{s|f>Gu4tVEr^+!J9U0YSz>-O(x6jp?e36Mfoq9eM+_g
zc2a<2{OSlKt|Olcg4hl@`xCHcFT~68wY$=G+2`2!vfflkv4rf(7WaULU<|QDlXC@X
z=t=>$wf<~U9@@i)FoFOiQSsv?s9kapx}srWk+hYC<sqlyrH3Gua`$f*kf-%81)XQ2
z1srY$f@5Nb7KPu^7A7Fl0Vde^CLOPdF8Cub$-gn|FV=wMy6oa|pI8h0cyv_Y9J5_w
zEz))0p>D1wILi)cue9R2v!&!m;eqGc_(H?m4*B&v0*%1%j+^uh+(vtOc<$G@?rzDp
zi-k7v7@}hK9XxmnLbWqEhU(tFz1;rk(?f_)?FA-}{lZ0uYtf1P$6;?y&Y)&}h-G?T
zH?w3vjD(vXe;pDGsEL{HhDoxhu<#@n?iu(qHv4{|p`s$Wn*d9TAGe*KZ-Yx&4DLQe
zbUwO0fA#wHQ&24Q-+qKx)_p`3RQ&l!+F;9+o9&f?Z{MuNKx+|rhG%2g9dz4wB`*ki
zPkdV&bN^oY`C4`ZfdhHkymz2HhN-*m)2BNmHB-R6?9MdSNsR<BD2I#p|3Jl4_u<1e
z93mn(dYlG-!lvYM`tRBRf&;<wle$q{KPKqk?*P0VMn?(bZ{u&7-*_L!@K@h~wgi>m
zNg`8w2E;Pv6u2z%QSe23m&I^W<hiuZcMxIY^@5K2=3UWhgw#uj^*9UIln{QP&x+p{
zDzjJt;8}&&WR%+eAjyrijo`pZ@Y{H>>VNWnEhUE)-bQ3komer!^-D22)BmFeyO+C*
zom%t9q8P>U)N?`6+1k9sA&pal7?stZqS?Rlos09^*8fTsCVmE0!iH)X_xzpKMegWW
zC^A8gGw#^&d2I8};ARue@`d63udC2vKy+Z*{WKyXqTo!sD6BwjyK1+IpX;Rp^E-x;
zeE6p~lEBDV21I94Y^?G~ybaWQJAt>uWI)hxbMKL2iT6C3(9<U)?%6|}Ely#VhnEjN
zHt*6wc8&DYV_~M#)6;~!z`i}Vsa0G;qLCU?M;II5!is$kog0Z>l9-%F?scBT``?5W
zM^*l+qa*HE+XDDZ5G&OX02t(N_UXXkc^OU&lHMY*fU5~tLP@&No0B5Mlu4qI@XQIv
zj=l_=veA+NYIFOQ`0T><dsKtv!nUnc6uG0e>VC6af)Q<%ae{45{vOBxiG>G(Mz9-Q
zhuaB#b6N@~BZ((K-fI}n=z}CMWjgJs;+enU7C2nL^XQB;rmy4CO3XRHKN{hG=@X+u
z;(eWrNbkK{YnoRI)34Iv_0PD<<P*l&GtS}qI9Sf`S$o?s7jPlGdMHv}L#>)^wly#^
zX2ak7bp@4DLhNR)en)&U#BNewujTLzodWrFo4I$cVEaZ)gsN_1u1vm8J>jC4?4?T=
zpidR_VvF|u&2rJlSGt*>PNl*rtHE(Y1p*!DE9i1frvIkkui-2<dLXU>UkbljuK)r^
zK^fH_--B=Z;kBbpBz<9^`D!Z_bCIBuT)LGzr73n}o+>rt9#Vq5E`OFUTAw=A<nqtZ
zh+wHuV49g{u3SW&2YNB_nJ!*s*IK$aJ?g=he-c(6<`B9Yk+wgV(QC$KY<hTV+>{?D
z54jbg4~UG9rvt1#HPo^W<u1KBhNKYgS18VODUcm9Y5zjW80a=(0_~eY3^SR;0e)!u
z7?|(Vm*%`|*pqS&(^IsW`E*<kuGUBo;K`?=S=!6##P9G?Lb!^glI7az85>_Fp04KR
zTi*@-nJbfa+kP|0joN++ns?T1+w3*p@@<I_!FiP6sfx@YrPodTtSN8RTC|z>==k)l
zy%QI(`@3TF@xaR3LB_cD19n<bXbF+m44e|l4pcz%-qzP2fkfip&X3G=(<K)M42q%P
zPCfxm!T$J57&F!zM%DATWH(=nqH4|isgynXE3cfZU2)Lb|1j4LIoM#pY0I?>A1O6k
zuFU26Cy!snDx--z7kd-ts^GF_51$<#y@ly+o-1YMbU9zL+%a9{=Cs!1-XA9iIUKme
z_ym3d8H}_tN!QJvd$o9vZiwb%fAfYRS+~E<;YDyH^Cl}gcAv2ofOJ8S6J;}*r-R<@
zT<R?%7ed>7P|YM*-x?ZHQ1nh?F7Q#m>>Dp(-KA;5+&F=CfJ}=O6eP=)){n+$CamP9
zjG>VtNw>r}25RdOW=Twl_6)8q`NKL@;4hcA8j{dN70Qhe`BaT&AaNnM{$4`J06F`#
zjJ$*SvL^Ru`pRzaiW2V&Y!ee_TOF2zBRk$f6oq)Xk5E+NSpzRyiQ5NSA&uOL_F@O-
zf2murf)FW2hVPi3#wQg<n6$B}X(c#1zyp<N<+9%|;Laz|A&JQYO$EzYuA!T^IfAfW
zLs<G!+VA%f+0$NFYBpb@|EqbW)oa(||3B6h!=eKu$sDvzJ#Lh6yoLkELxxOL3ur@1
zcSXyng&Rzp-$zf08lS(5<c<*g@9WpeB_%9)(MS#m#wCQjY--pHkWj8Zd<W$!2@NGl
z@R%({GX7A5ws}9VHE5-2Y-}8Z*7JaIselq*2Eb2ZsPA}mItaI1FT7eI@T}rF9P!hK
z-ahEh7s^_G9mOs~n)$o#!Y)rjvDY8!9=N01#5+v_mcW}Z(JDP({-KvSF+Lh(5qZ;f
zt4|_}n$4C*T?R7gA}$gKD#6atK5{~ojKiN)t*A2`;;Z4+Aq;{B6yGRuNn9QnRS~=s
z1lGl>UqCDq5jnvjBd4K32gHQfW)tLUiqHeBLy1B#RBR|lT2>ijI{$@5R3o97L~u(~
zwHw#K|7ilV2oS?ZSo-egDF^ZHG5p$igF9Z*<4I$6`cBp99o*!uBo1+Cqm52k05<(S
zGZFzz>MNvSFOeWhoSb;cP%<t1tEDRddONqg==tjotk6V719*>Q(4iI`gEF!g7e{fH
z(R|vHo6U(6DaC7Q)gxL+blxY_6g5b2=eb#cn*>?m>(;EX#H!0vzy03uzvjS4+TQ=s
zy6N^(wX~tf^aed<esFyt7jOH`aMp_7u48(4b++^zqB#il33aRKS<mm^yR8R=JRbhA
z({dmAO}B-)JgU27el0(rm-bm3#zt*;>!6Xhg<jPbFk$`iqpCNe`fZsCqPY71Pgr%L
ze<h)DS@lvH*a<!>id<ok>A7C$HMEC~|EY{i2e3^3H`~r+am_YZc8(#Ps_4-pYhr&9
zslrb&0d+n5Cw%A?ixnD#9LRDY=)B(E*;xb|q-c8KSBvWJ86utM=7(n<{RhAK$fDc@
z&4o3#7Jdr45R@KUu}k8Qe#X)TrwgHddVju2(IxyKqhs|b%UhqEwYdM_K{YtsPiQ?#
zE~1zE`F!@X6~ZBi{ReiME$r;|BRJ%3TuRGoTxXDok4M?%iW*+*)Q9cgM@Q>{eVO2-
zX-62&OY*mp8uguZ4x06!STQ}<kbGfH`GjR*0#ZJfl${ts_3T`qa){endioYGSxV1m
z*Z+o4T)1GbMlDY3E;Y3!VsY2)gbwBhlb7)?Yz)ue(7G^9o95|eT0;PI0tH%IM`BV^
zJ?Os$RB`PGzxcfJkV^dUMH@CMuwjMhltr&9>z!EUiw@tqZCfFBwSfr(<qYzQ>R!DH
zQcc$-Ua6)T7OS7w$~lXL<ym55Qv)v0Fs*utW1yy=fXe@Sg1%_hyu$%@L?`9zF+>4M
za}u`*I~=&USokaq^!5%oQT1Z>uH{U7qcae5@0-(lTER5VSz}Q(_AUO<M3Zzh-iwh8
z_fK5aWkv@>kwb~_{M!TF&0PB?nLMO8S@b`)JyAZbDsfmr{4kg2^IP&Nt`#gnrs<i}
zJEiw94^;l@T}*j)h}oTaP_?x9Lr_7SpE5|4{~?j-)T{r21?BH9hxO5Cy2Xf0mw+t>
z?X_{=q_^pb6P)n6pur79OL!7z0g)z)U@7FDhwB}FfmdiS_<y$Rn)}+>Wf)#0U_Zd4
zm+;$T|B*m#_g`IMI18R0opxORH`AUd194zpe$%@xT^3ocIAIIOu!)P1%m0m+@k)Ct
zMn^evZF>dO=pt}KnLYO+(QCveUAlz(jBtK1Dxdq+B`#bAyVT`@7eVE4H4-B^#unT`
z17rI>j$AY3;6+MX1+f~>Vj>!dPt$4v=zCE-y#X_g#&10X!*$wWQQT~GNUB1P3@vUR
zlCy%|dnE-K+GIoxL2m&Qi=ql3-ifx((eSt|M@idlGy##TQ;d@*8P|AP#>EX7HM#F)
zq9vz4Y@~X_cc7jH255yi*g2@AM11C)K`HAE8>5QRLcS^<Q56ak{<?Cc$*H9mcDN%y
zC}yjq`(8Lm0$>6)xceeYOgs8t8T_CYs&FDWPyNu5@|s!$WHw{w)9w35FYXZ7yEhWB
z8g#3V9NN}{s5k;i8U$lgX6%tDU3H;+y4Cf5g<e)g3~kCDZ5Q>0@V#`&Ds=((jj0W6
zMGk+b|I*S4kvm4w5uK@W>WU<bfj#$=8*XtdHE;@RuDx<~K_OQ#P&bzP##^S_hKY={
z^uq<;gZE2cjr%&0^sZP!Ik&mzOUaoGwH8KID(&TC{?+e1AO5ml8IbXPv|Q$FyFACY
z|5IkB_eNunK<<8pG!D>i=A&y+lR<zDBp>udMuVrpH-zYfD5Sj9l3jW&Kt}*GB1)JZ
zY9WaOl$WTXU=qon>g|A4fMR*(OpZYk8TJ5s7lEWGB*&Fd&=6%cnbJ?&9mTSx@kbVn
zBF{~Egv_Ek_K~r0@Gvr{={$u>h_CAl2tc(?=aVP7kgE`!oSe*8OC}+F9T~ZbAAGK}
zM(8}qFLbBZAT)M9cm*f?f2QkaD-Y=0!2Uc5ppfEEJa{Aynbb+hL7=<@x)BC|ZU-(D
zQionJv$W(uRLA<{y>Cw<^bi)?A+s_F*l+|uVVFBh(sBMh6F_k<G=Qi)E&=t?bU2!H
z$?&ebS(Y~E<cSr*CuOJ<x@WQsPbc%WaD0Eg>av5dkeOr0I0OP?pcQ+8ypsCIzfdj*
zg%Q+Hy?uROhlWhQ7W6wFl#zK+St<uUlnR|CL9<#~`w}jE4uE3l>JXj&XPT@cJawWS
z0OR}ZF~Fu($S(j07MhxBb#>DI*U;2DFQB4Gp<PXZp}3dCiKEsP!8Qc%@z|Unc?|Dw
z+*hH#Z;OKaWiy@6PLU^%gtXp<eo~`J&S6%y!r%ymyIn$sg7P_GvcXOtwnJexbx{sR
z70a`;oZBS?6+&kwKc>8rV%aM8%Q_->zY$;hHokNkt}x2V73}!G_;<ear@w=eg76Ii
z<3KgA9(N#OIV<3^19tnZQHpJ^h_J9f(h{K^sB_G&eV+rh!hg-_zcpRSJKDl^^PT<v
z00+%CRaN(ZyP9V6tVi-aWV~R?yB?!VZ7Uh5Xd-AQ!Y|aamx0?t5!h5J`G?CP%l+rj
zP&iH`0(6oUhyoJHnI_p%_MO+*Wqj7)Gm+tuD^^oX9Z6mn#h?6U94Pt1N&jnR(j}a~
zh<|@<=;qbhG<rNhj)F@Dla3NP4R^5k{9d9X2Cl9@nwpvp$77%&!psN?XjM}`LbMP*
zFz>;n!Y}|UlJttyFADFv7szO$1(ZL~*xX+<gM+jJ#Kt*{|8z2_jOI78e=Z2<+Uz&(
zT$zE`<~kf_f9D5W2k5!#<+?WIq2{1($f@&J))SlW0eW=;5$UJ{d$Gpy9@g@p`?EvK
zN2Po+Lo{LqWoR!oRh3s)<BO9HTh;U?l56zkj%(8f<jlzSI1nZrXB6Nr3`7YI3scRV
zwA2W?vb$Q_Y*A>=XT#pT%8J~gG?bwO3g&h`D;O?*F3fHbNq@s<w_la_gHTA_VFv2<
zU6Cx|4Htr?Uq{9LDeGNl@7wk~9=!nxzd_BilY@hT%_alM85HoVD2!o;O$U*|I{WNB
zoDyV2#Oc$SM=go%45*gGg_Yo2!ILr|F3t*`_^uf|277@OCcfi_o1}JV4fLi6zS@+y
zKDk*Ld>`Zjm&g#HpV_17jjZbG_SK+}Ngj)T;j@n@<z5ry2fH_@e!!?*3}*|tzqX*h
z)1bwFbQEW|63IFef=&W0APEkSW~93>UA=OJa;w`WU#lfSuQdGgGp)0I<2B14`bP(T
z>uPIL(0gDt5B_xcxhv42>DoG1b?x~4;1>am_h`K?^KRzjr8W2=Qb$8GF|?aK*HJPN
ztpOAR5u+~_)&u(_m>xV(7|haC6R6+cnY5HcPfJ^gS}O?5;4yw<G19eumea~Np8I*q
zQnS<45n!~l^jxCN>C^LF^9Oeq56Kro*dXOO@%PA7c7gtqWFZ3E%GG1S$X(NIFJ3Ux
zTomAl469Jv@9)1lNM;M(zE9?wN<+*`SNkJicS|C=UQzdM%ibE1s>oQ+jUm))d&cMN
znrxY-rtEzS6jju#`o=jJCmg29t96UqoThw|X@H;e0H3#@2vZwh(!{#N0TP)789*y<
z?vp16QMU4J=h?)>L<OUk+is#RhF$(O88Ps*U7d^=_;kaYWm~IMq&@gjq5$<&PzW@v
zzX}ep2mQI}06{omPCbuczp8$U4ReB)&=M^Lh&d{vrYyhtKF>?MV(GU#u7MvUU^kHu
zpcj#F+zG8Wi2JTdJj6|q?E&}BJ!+1ET}4Hu=hB@OHqu96;|M1iCNP~3Okez6EMzf~
z4z~}en~aAq;DZeSTn2Wx#1T#|^4G1cyX8F-PZ@bxH|gc2bPIwNbZ<ryRH}Qo7|r>D
zULw{oPgxX4S)YeYHbMR%CBuM!7HN0%FKo+V(}I=(0nWtuOUN^gyJA;s$+R5whfh98
z?Zg>|e3`!saFLs&KEktd4i!j(IVV29X}+ofe^Bh*yE|oNEryFG+aDY1ux5~S6$opo
zkwBOrrrRdx=4z0A)}KT!A!vXE2Eo<0)YbhKnv`9eo<z%wr3p+)uqZaRGxa_e9a;L5
zkYf;Q_>otAIquFKl+7u~C22kW+SNsnOGt>OXWY{17fo2&@l`ERk<6i<l8SUJ-7A*9
zI9*?nD*3YP_^X*mH5iyg=qlI;IDmQLfqyFZlSSZb5M*p^ybS*kb*?uhaFj8VxPMra
z@cU^%yl%lgMX9;ea%H>tMiO=han236Eg*;VihXnrR~CuHATR;Y=My-KO)u0yd_V`y
zB5@TV<>@d)ZDbFj+{`zWHlPsB6~!wVdf@IZ=3iL4ojhfd!A6odvBeR7Tl@acnCR)B
z?q(ZMvjT(jff|KScZ6Dw$MH)PhoId!G5Y5b&J03mrznOJ<q!FKDB9*A`X-hg6yvTJ
zIw2JRZ>6ZM%?M1q1k;%y701cD8m%Jncw+oeiR1umln~qOhwjW7__P@!s<7(?p{_bM
zxZsTMNs4UpNs&&*fuuitvz!OzJH`OKAfJ3Cei@9;4^>JC3?uq?TJbIMn28x7QOYwA
zB-MY<ae*vO_sTw{s1t3kouxe}rJqi}(5a5RSdcR$s0_t-)pYNwzY_>>Tk;W|1muHI
zll7qFLyE~^JT>3N@gstF3Zb8Xe9aP)f6U?N>#&oTA36JQdh`oBGV4I>h!YZ)0P7BG
zc(l*4W_-Y70RJ39e1iB{CEl}wgh|GI-YW5_v8#no&IK?7!T`QPPW!sQHl_h%3gEG^
zM5OB+Qlp2SKVybH>B7BM-LYK?cC-c($G1`6|IPUJuqEH6#z&V%mAE#BmE=7v9#o2o
zxv;9eeSku-y`L}7<9&{&gDWj1Y?lH{aa6PYA%)|R=OXEl9ec}Tq_~aDIlvcrSzn)D
zwaIKHi6tZUQ1aFwNL9qlm2rr6iT(~pXMZDJ?|&VFa75{qu6?!?<38)Rj6_yI^dM=C
ze>Cj`qSeMx408gJho0&cyoKYWeHoHU5*)@aKqJUQKC*&B5J>1^fc{+aUHW|jx$tY&
zufLR=JK~yjOuhNeNC_8ANl1^VK!gXGrvPZu5|Sb!a3h8^(7$%+Fuh4ZD{uqaKj5Ir
zV0G~`s+cW&0?@a(Fekz^cLWtO{s&>*xh>bSMG>+?=7`|*LkbY{a?<mK_1Ev2vL9Mb
z7!hdK*X4)|{+!15hQ^HQa2(efBkKJ<^?~=ysaPAC<mF#pyL$4-hQs=|d~Z0VtX2@_
zyhXJ}RjmE}OzanShnYfdxxn-F1D-Rg?nANNMbGw)mJP(CG{W4)?>&piHfzc<;D;|!
z9%3(TrVw`DxfHWav7*2TY!J4Az`t-zC__F=ROEMizcy6DTSZP%!CQ;t=Q?)DuSX_J
z=n>K(mmyaLN-%Q9bF22E&gr>-*Qpo3B^B@}9AW-MYb?&;DRTO}{go{OGWl0(zw*zH
zdD`F?+Y)~NWR*MuRXJ`Zn1$OS?+eic1)!)Bg_}L`;*1Hd7h)cQ4i1;5NZQTr3!gn#
zV@^9t?X9{;>RV%-m4FSCNi(D%u<LlVhpc%>Ue=l1zbD}=246jyO;`R!3vCMduTfzf
z!eL}|rnP%erREEZJFZURM!;<NI_L*Nn+DUMqX2agfyq<TSt?KV2ntr&7oRL@4;<M@
zEzelP>l+f)vRcQQT7BVg^Y@Q8ch;wDj31=V(Ac(jWK+Gm#8NB_J7l-wbJfrb7;Ol(
zl09<$B15>s;n&57m7>qq3#>7^w{OY!nVBHwN5a)sdUD||Bb7YkON5wC#>)iBr|PAa
z9}bZHI-%SCWx0IwuZF?%fVQuK9KMTYrx0@^fYHYyswn^YOvjh@M;vP^H_Pj)XXFMv
z+rNBoVo!L7$G#}Tkn&GK-hLYjYcI&x>a{Yc!ZIfFC3d#|{EqLR3fSd!)~s{Tu(p1-
zPf%!0Ajg_OXYmHs19x(NH_04!KAe%oN38<Q<2!U^M<vT4kA~ha0ATevvU~rGRIUx=
zFk9QaAt13~Nh!}|lKU!c^wF#M%N{2&ST2aO)_+~s)>UOKdSd^!8#dyfT3>KEX~`V9
z?i+e<P9#<@ENt+6MbR;QWAe{e7sGVQJA5~FytN=JnWW6>sixwJO;qwF9d=wRPkX(n
zoY=};SUYR9JJ(mP!s1)i__5E_wcIzj!@yVK+6LzQvY(c|W6oz6Q%sucx3@8G3t59W
zZ`c=fN2X<GFJ<7%k$?0JqCZ@o9qFt_gi3}{{to00A$lVbXigGJc8iP&@}*{)H+XTc
zwSJIq)}tsm&FO8^e1nF&n6`c7i2GcmdiD;E@p(0835MRu==gKuSXG9GTS(bJdOV0)
zC`>Uwx%W+Oo=KAhD#RaYbMV|bX`Rf&a>xFDRe8oNpV~2O58|bTpIZdQBXn%l^as1-
zkSP<3#s_82bH;uqeEBn~+cswjvxRF_xh5atR=Fp7T03^X%C^nP9G%j<=CXWxEgi47
z;IDK2vw!A~c*4?xMe0Lm*N}>hF|}`?vlyTEffO7*!*-0~bN7}BU4Jn=*Ml`GP5#Dn
zkBe`3!)JZUsQx||y!tni1M&7n?RChgt%pbj{7la^$zMHiq2C9LG*IM&-)KaWbOmqt
zjl=qoseSiE?S!9%A7RT=6t%nY$X?%;t?>Coz}lqzV8u|G^bEUwPP6CEyy<MeD{}2(
zY(92_1D*_>;P82gbERg45i!ih2RxK;^xDALv=R?VKGjfVs|tI^kS`YDZ4Q#7LLvWp
zX=Y)|?y0V!uPX4d5Y0-=sxaLqUUwlcOT;>cVYVVlPIl+Ux9(?EWOqIt+LCiTD(t5T
zYpv!1?a*Q8UlIX7WtJYE-#zIS;e6Y6XNvMnOs@-DRez0=j+93k^|u`+jCI^1+pe-)
zt?GH|?k&RCBG{G3mZ9&(#H8^ZODe?ffZ-$4;dwv#e=k?s^B-13p^yt93kT}79o|1h
zP&ZfO1FC9i$tLxamHYEux(t(vyr`X=VdVZSxi33+Pm^c%@$gpR1J~r)?kmmAo%<yd
zaF6#?_lw%-h^E+}rs$yBgiw5awe(lRdtM{lYkUjUK6yHtRX_`?PZlIM&4-154tnQ9
zSFEgcvNs_(^x&Iefy3EXxi|}iwrPH%_CEgaPpGDwt~>^o8}R}$$Qg~iaYG(iQ=YhE
z34F38qF*6e2m3B+ymMqOB3%2(;bfWjv+*@)@{SE$ozHn?WE0I+|BgGcd1fD1=B_K6
zC!NpKyowopeN!*+h2h-k+5X9B=c!M#8Tu0X;TyEIGas=`t>yLabYm$O+nzM)r?`4I
z56?-_=%~9-uBRTMf9t#1Tx;D>>)_>jqrf%?#q8qnp3DDwx$$XgE27YLBN(O>#iFXZ
zdMX0Rn6u2V++yNg+XQL9e|Tk~dqqqp;IibxN!$QkE;dV74n6+%RowVW+U<|}`%*;p
z7dK}={vq6a{dKIlzhu!G&9oi$6&h#OF@Js1u6-=m`0Qv<!8xn4&s_NDQHR}miOtG-
zd`=exy^bGPblGDbz3rw*bl<#e-}L5<wx<uvS4gP+eD-npJU7pN4AG*x#&$Eqpf;d=
zJI~6UWVble;FPk0Q66@=>3gFn@9zQvCy9!2h$;Lk8pTa!fWax`s#D9exKIE7dh_>L
z&97}yJ#ClqxdV69->+|UpuGD7@Yw3;#B1dbFE?8F^?%CN+k*j#qYbINh1(0u@}5#V
zJh9G^wolDx3+SEtD&(HzzA$9W#`l~ViWVl{q8oktJ||CIm(^yXwvd<SFh2PtwM99(
zMfq!tx(?IUr20$kx70>Dv~-_**tg$tLQF)2O<w0v+>>C(&d?jtOFY!ntlAEB&6)dx
z@7#&w4JTq(&lC$Wc}Bs95L!)sRAkU8velgOl1AkD`H_xjTmc5BB}wT8Pt6-^(G3`R
z0qtWQ`UZvDCLlsl;_z^Ct|)5PfVqH-qo^PFx+s8Dr5;q~<;`yxv+O{0sze2ItJ)P~
z)UPfv;tIxOt96<n)edUC-S8;}Rmed*OP1=`!k@NsBlHU>4p8@6?%$Sq{FxZ^M3`t8
zKl<uv24p3r$U6;qDWVp2UNulWX4QqvRo*8mPP6~gt@iu^2ugYo^0Sah$POd8RiV~r
zd(iX_czPzzey`_=$nisoN%VvYtwb?e3Jed-4Y#Oh6o4Cmci$(?f7Ku=hzklz9?dvP
zz?YS(Q80NwwYGVBC+n8HOEudCsy|=QRsqbh1u;+;FMbm(CdsGK#k1RH<Q!^%eWupC
z*vHUiVv<p3t8crH@*;5M_VS!p#TQrerLJ(i%6<O8&5x})Asr``$4j+OtABiLKhFI7
z+<j(CJ4*#YzDf(@%lR2={7&@vwSSe<;a;4v!=YFHDmbkr@aGZMB>&O5bBju1=MQAv
zyz_}U)QZ78pZ;o<g2G7)x=X>9CRSFGsVz!HXTPY=U371b6W(vX>FB@->vkoS&wF@z
zIWYYLVt7<4f-SXtYbw7qgCB#i53hOGfdkP{#}tAJMNGBMpd;GBD75T1QO@2#bKW!U
zHIJ%`=n{bFT4R8lT+hm>IEOqk&j&800?fXHS2noCp0w`FLyRGQ{%D9v$ZMIoQ2Ejf
zD@qyVC~h+MDRY`x&`bqSuoR`GF|=wZ(1_?)CsmnDmLM~`xK&9bU~)SaIhSrj%_pE?
zAdxA!7|<2g4~qbyIxo@f+5LSGt-r;sC9_{$>FdSz&aFH(K6vEYzDvhWw_Tuk-JCBQ
zIVd1-6&RJvkB^-8%^4d+&w{XmUp)?sp$S$2C~t{P7!(`HaVvx5A8_y`^g&JN3pp75
zN$*aKESAE;;5djR4=X6c{P}NB{tGs@TKfE4*d!kuHEqi=QN&7ahf9ZG+3w!SBMZ<3
zvq-xC^b|-&!S?36v=2*letAmc@Qp{?rlyBe!mcVM#f7I};Aq17_QA^MXW4i08|n&s
ziye8O+4nZ1;oCLOfIyR*yxk?&qN0c2`HixMznBk;Ixu{0<Wtz}M^5V_Jx-T8&d4R5
zkz-}QE|wxQ^p?B1p}}Kv0>@y+&Xqgsf<q5*=9vm{?d;Hz9v7^96?coj$ecOIoc;Pc
zv(?$f;#<@eePmd%f{NO=F9vjDWl!vB7YgJ+=<Mk|kF7jQ)YXONUSMo8FdG5LW>c^o
zo3jiehV!0XJC*2p2?hU(faV3rVEv&RVY~V6FgiDrGLLi4BwgGZ%7wDuL)l~@K~MSd
z;R!`^ufbhAAW%v4nNVF1!}80bdYM|NM^ArwA&qXp7SozZ;fwij->>wWVXDr-F6UKP
z9MDKKA-V^le(doU?$ryxWXWf_qrrpjtO{Q6z*-D}BWb?6&%N9<cs3!$wjat}h7atp
z%#bNNz%44y1Oq8r^z~Dzl0$14EADEmG7nhhy<6My(DpMtm_ddh_(ZfXR0Do6g*`gc
zPR=LfTj7AL9+*6L;MtvNmNmAr$fh76NKnw#VT2F`LS0+5gq*cN2;zZut_aw$Ka`$T
z8EQih5TtgW%fx|KK$~+5oXG?*Y@%@P@e8;EYz-OuYWRKVD!-WwJIA8pA(;p7tnc~#
zS^jk9&of5y`4Q&(H9f{0anv`kXjeT1yol!+++fEoArZHFhX;p8E)_?uD9Ev7q!j&_
z_QKWl0iH6gV>IPo>QUoq!TE~GZ7WtLO=4`u3QT!fDHpLtAd))_Z7fyW5(Y=weR{}=
zP7FJkjG#6eD#>Ruf5LjIfd1;yP?5c5U5cqqU-v%#>XsyvI%|d<AA}YV&vcV$x6_kJ
zAS5KM@XFSGKv7m<z)}i6e#Pi8OrPYfgIx?{oA$#57%2#b_v0y%zlK0LwW1I`AF>ih
zBZ&s@E5t8v?Dj{+#nqsLXN&)W+tc#pvpPUL=!hyDA)(&~wgi9pFubP>Qe$!|hPt>h
zfZ9`W;4)E-A_ghO3}9f3E@KOi@iaLX%5@X;{J$Zf={v$|tdTj%d83i^#duMZhKJ-C
zgCpKw=%so*>L-`p!04`iYHE6@Pd4$onBcV^Cltd<`qtkIy}zMhcD+WMc?3`1w!${`
z!75FU^*au`ON@VKt9*Vzx{!5o*V?)G13GD5KZYK0=S-Hb8EsiToG`o5bJp_Sa(C#M
zV6Mnx`!JrzYnQoJ$7S&5JegfP$Yhv*T|S%shz{S5ZN}MG<?<txc4gks?sFfwMAvsL
z+fd+<set>l1hBCY6Q;D4(F!_Di!x`U*-IB@9?ndbE>66u&ROyi#4q(dS);eU%ewOB
zWW~vXhlug(I(6tPfhIu3p2DmFLWV%iewPHH{Y7TCtoxf3?ezQ)#+7?KH^=Nt=MKlt
zGmkOKO?>-$vN?U1rj5wZ3$^rKEC)=ezWA$jfM6d00MbdHzx|Lf%Vp<MGhnRYB&810
z;)$257@V=-X_`L3_N)q^fdG1_OJVqjZXkGXE%1{dz+2(C{3k2d35@~yq7k}tQHGtY
za7b%x@o8bo4ZxbFs7CqAc`afJ1`B`)=xJ<$Wn$)TXbjGfE7d;YCAvf7nPA%AVN38Q
zTpY)4cLk7z9@fOk9JK&$eRCDz5&h`QR}{d;V7ilV*<1seJOP`|7=-Jgdy8<{5iAnB
z*tpPo?fTFlob4N7#0PIN2bVu6QO~zZL-=cBaYX>$u_2EW#SxxB!Pze_Tx^`5bz{oi
zb=cYpk)Uah&*&6eSpOP;@jK}8Y5Yjag}KL9YI5+wl@JRVKLW;1Kp=fedPY5yZ`yb{
z`&VYM#D1@frJ<(TiaJc+Ce5zHhey2XXc{?(i9%s+$rtR@Tg1Xt2|VdiAOo3N4Knqm
z#$Rv3%#^!m(+x_Nkd9Mkel~q*5IPq!z6mWrA98DLfoxUi*dQva27i9bg!lNn-AURw
zC2@o>#S=|7IYOZttiYdBc$|dlc2Sdr>f^;#Bu`>5)xoGjM!*uOo|e=&)ohn51CCU2
zhf<+a2KFcQYyn03%(S2Czi*Uncopbs`Eg$CEA@)APplSxNiscQbySdQ{rvn!w-YLt
z<_)cuFBNpN8+dr`X==RgdQ6{Jr_r_5TgTy1#(4>C)wk;zwmG;lDFsP%_^V|r&)8Qm
zst-Qydz<dAe_w7O@3%hxawT_j>l*Hn;yax!a+|hv+^{#P&XOsAZdO|ReK+^auGzOM
zyArMXFO9bho+q~zJmhG)Lk+Wc0ZR<3a9&}dBVQu=)|dV6mJj)j5;FNQL6T4U+@5{h
zs_7ALvc0?fdKyn#a)Ukp^8~Rcvqy3>yCyI%4viHthkwRUanr|V-jPxm&d8GQaSnmC
z^jk%Pardkgh6#z-i;*Cz0T2sWaLLH~+H8IWp|tQe9ff%!WFbk`PX_j*6Id&!_MQUF
zshH@8VWo(2ECdi`dDnf-{^`<@$DRIi+7EC@!GF`3EWauXMXbw;MI<MYv`7)$AbHPz
zN#q#vOC+qn`Hm@yHqS77tE{ijm?tXOhwqe7ToEA4wg~V)gMC{bJ!513XW*ZnIEA-L
zc?gr-AZYt;pyWC}W724(CQU=Oz?KMVBms4fD5vX=V?!F+cNhNle7elYy5G*ZLn1yl
z_8p9II+@=O2*yO9Vy50F`~?z5r)MK#@QZB8akVXqMK!=N=jnwCJ7_rekA30-eoiBT
zno;<XF=AvF;r<}eQN%j;(7uHaLA(_J-!^xZcRLL{?sR%J;$DRRILFW-q#xQVY7Pkr
ziEl;1FuRk#<R=&61$VJb@n?UDNzH1uy596|e3glvn^*JZW~1`9h_=4(v+U)Hr}ihh
zc^hO_BUo3KK<ZerYi&nhr@4z_@MN(mFpo91=J8oMzih3o^*^m0LiMMrp^=7C_>{mA
zq-hc<00q;`$elru{WADQy3SRz!9Es$wtVR}Fqc)rIOr^8<!p#u1k;F<dM4q@==oz`
zEWwhIX_&hWrHdSg$3ZL$XzY*TMD%|-+mG9+5^C5Ir1#gG&eXPu+eE_e6nXdVF{j@|
zz1z^K3a}%dp|DeP{K6N`m`^%KlsEczI;xlo*hf$wzdH1Qt(TdUe0j<n`4ZMU`bfQ{
z?Fcr_;L=c`IS^iZJx#AqXuS7RRK&qAYomhC%=XR+Fuduj{=`ia{f-i~ww{yW#Y*PF
zVZS}y6_l|2Z;$%dFgPfX&QWq&)xOQQ&`d8L_(tEfS36DtL~5@37ue-D8NDgkk0+`6
zYJH#bsr@OfcGxi$r<rxJhEcz)fn4f7t_PBvOL*TjucYmJMee?bgUA&Im7YhgrJdz?
ztvHipK7(nqv~UHdPj6dny!W={>O7pRR-kzS_K=-|*#mM9J>``8HB{D2W$POrMIl4#
zL;$*ob}`<&1w73Im(Gm0ST{<r3lWm%WWgAQHc_|1@Np8ICpo8qW{LvCk95WL_84=S
zf+PF*YIXNKS9z}`cwgP%I;!)x=ov}Xj_%|;Kx}?yW68T&t$onGG=ZQX9V2M6z$Pu<
zd}ysJdZut%UNUPVnj@3jctB^JO;PqM23`e6zu%#CFU$57CE!<rh7tY*XmUdy(89>V
z;|PtYc(!aqGzPD}_JCHAadiH6e*5~>2)x=YARzE<&K%QiBELITmO6Y)UV(;V0RFI*
zD=VI$ERMQ;dyCn3vlkAa-RjVeRe%f)I#_@nm1#mIaZ%cMOZ=gEPm|-KEOcE+oT(6n
zZDJH^tbLyj-`9X}G283|&OkMF_0s;^#}sOCI+gLixR#(t^A0B%VZ=z<Llie>ttfu8
z6>v?uZTo-t#1PCVaH9PTlYp^*`NK7uhpAc<rL_%uk1B30eiJx7BlBsCVC99yL#Svf
zorc2)l2@F~TlGe$PyEag*0T!ZHN1lCzWG;psxF%i0a{H76SX|UqV(?R&Jx3K$?Mxv
zu6?v}+I$_bN3jHBvbdf<Qr~Vh(f1+n<YDIssuE-pVV?tbiG~dKhAP)$YG(7cj;_z;
zYQyMDZY+s@*vNW2gXJgnJj<(`N6)R$?PaPh<naYnyu>A0N&Xi%8rj9@6zCJD?6pd7
zn!4xFXy=<t`_A{r&`REt!m0&F-3%9t^>4h`AMHiEq5EJEuXjKr^Y-mlNLl2PV->-J
zc;Gz4@o@OIP2B#|x=!CBZ`PW)A1um=Cua+3h*ACSckEySs0uj1x3%F2ne##rb+nUY
zJUC>oq#1(EaZgDddRxz*1=Ysra7a7|crGcZG|7~qPb2PC*V)-ch2>*wm%Jy`vZ`^U
z;&`D1(4_*J9S7-w<p2#3--Q!{(_TS;Vp{5_rp{wvvxQS9S%db?yw)9vw;?JEvWy^h
zT^D=7g$<&={E2gByr{hfAUy)^M$h@4lP@)={w9vdB%<P~)5~rd$i2d>U@%mW`q01e
zBrA=&amZG#9S=6eJP*G8WajmD&zbLh2D#P1XrzAsNG0=U$cYLlboIX7I5dm|e;C|9
z^E>lPF*)WDL5{9oiraq?4F=6VIgZE?BNM1*({XcbmpFf!uu|y20ikRztSfEqE0mZ)
zvl62o`EhvK;PdDHZ}BU+5e3qF<H!z9OnC<Sj!et3g{8%XFMqy6o+t}XG_Y4ow5#V9
zr(-=PuiX>f7PeJpyW8f`W(o`IL1h#qDz4id4@h1UC@o>Q&5^n5(YWoR*ufW8>B+0l
zCayZJ%fhGElWokFazxNQ)nh5(=LXh8zO{;*61LNM&0XAlupqO!Kq7%RTmclfZPC`C
z3jc1W>cR8oGrN}qojFyb^wYnupxk%n*OdHRnRkHSxg%Wo*v`{FljXu8MoSBQqd**V
z9=@t7+6o|+Sk6$o^}+~CAA1mm*CSKMw+V}QYNWTt^;o%zL5i`ktig`X{M&6}*g`!(
zzy8=-Lh9?!-@!q31k`2eK%%$5Tn{&lh2JWT9yEo}4VpeS$MLE7J3QlulPwxMyM}wz
z^-_~`0Dbz<VUu-*W;P0l-EGM{{)%YR>jr$AA-mfPMJD&3<=OHu`0?Hip<v*FxNWWs
zL_ah%BEUpkRzyKF3Oq@M=V&}jygLF+VAof{iA(Zl`3&q<E)9MjhFBBxV>gzuU~a-r
zzG%KrTOE|PiJf_ifLZ55+bbeI08FHATgSk#8!asUJ!HQ;33+Qfe&P7r$2+`!aAHp>
zpbaL05n7$rDSJP9PMkuL%{4?ck(|k2IGCGm&${SGd*w9R-QZput!D7+Vu)OK6#iBD
zSbx2;4H=<_;L|ZUpo!BQKQzVi;RV#bQYcq3s#GA2eIw8$sC_W_mNs@7p2x99bs=Ko
zkFNcJm;wn$KjOHcTWf~7pErokFX^CT$1ObcNqnkF{9J>ldph6oWm(||DCD;xjNDb}
z;DgM!;?yeVCD@3BN~mmXC2o|LPEVTdDFFh{^?p&i8xV5E+=x4^>=M&iryYC|TZ>!5
zt=@0b5Qs}EP<=m`A#gi#`h1Ik-95dr?T`Cvc&YNQr1<VnjNi!ggwB5L#e~Z}6E2wy
z?~;{m8UpE-H!>8$w)Q1VtRZmkvvDuSlJ4Cfhf}l7WKtV0H`w8Hx}v;O?3iURtJUU0
z8!Gv^q>^Td!>@Pu7RFdU3^o|NworNq>k8;cAHLK8&^rufxdOESqBlH4APq6HXT_qi
z0uCcJ-K+<BdE^P-T2V3Z!v1naaWJEjQ4MfUu>R~ZdC-(FV=WE%6to-}-3ucaK!&eq
zweuzl@Z4gs;N!rwZ9+o@a=8kXsNza)Kp{8-!+^x>-LejMc{6?^&I9ryz@t~9H>*SS
z5V-TAwT%rK!bmKJ$eSaz2-f&IbIY=^%5?;Qz<KR5kZ|FiZYBwSC(=bU_&GS@)(W~y
z=c%BA^BBr}K*oHLgb!2!DS(JkXyK0w1zStsd2fsJ^bKx6kDh?lB-#h0d=92QKS=Zn
zmmDqI=ka6-@=OdB2!P~+M6$v`vZL!m`z4VBEOhXC5^P`B%&gApy0kK??fR0>7?=DW
zcrz)lK^pX-+9rqO-z%9eoBUV|u+n|z?nvMn+yEfz93F;syxVbcN@vkmR@!T-2jBkN
zB~~ZiCmO}}EyCNbVnEKVZ3pZvg;^e&<`Qpt^$u^k>=rdN7w9~R!xB9D1Yp_3dHT{y
zkM2A^O<4;(*9+Zl%;W&T<;JOLl<3jB_Qlf7F@(Ks6|EahQ@sgk&MEloD=eYl)ARTm
z!c0Ucz_Hf*w%tB(O#CKk((wjeU(p{V+1A8jE(7Q$(gsSc8X{V~`@RbaUj{NC@N76$
zHxkGPhZW0JWn>c(n1J+&g?q`Lw=8NWdmRrq#!dF%sq{6ctc%*2<O<r)#60CinS1J2
z(CX-)3r)9VN4F(!_n8veb+(4TCgq0Ko?k(s9~NG0@4UW8N%j=~F4pV3yUM@wRm*ng
zetW;DDK2w1Mt5vP=FP>7!{d_A)heDW-0GWj=c|_KNcr~SvC=#5z6<GNp|a77SIhU5
zFJFi(Jkgh1lh>`q|G1ZJK>r#FJbseKK>)eG|Kb8jd(tN@(Ao1))990?L4Bk`<Q_`+
zpsro$I^a@z3j<|MPq!DQqj%VR^IckVzJ-M+1{p`A?^e=bqSi*j3QJ*Pi@kwueIlFa
z2-GzCcsS`SbTn_yi18o%?2%fCNQX!p8ipM?l>Qxn)+e{tmcpT%j=MPAJl`m<^!qj&
zNVYlqYieqADg96`tjUAzF@sVA2AfGq=N7sVUL4|vd$&aB=9(Vp#~o+{G%O9OW66>a
z*uK$#ocWYfbynO$7VVpUmpzJ?=yY-nvo~(okRmnpQLzTQEEi>}h7Oa`yV_bk@K&i%
zJMl^+9L+SyzCD4h!RuQtTha}fgb&q&(G}%Xl;e43SWq=6EiY7AZQ(nMX<?kBR<V$2
zo8aOw06u){*{`SSP=y-dptyxjnHT15Jw#=(7B2ezS+Gb)p|9rQQF5<o@D?1?{3s3#
zpeJ{ZMFn7F99r+bc0ZcCbl`P0z>#ygd3g9}g5*mf>xqV%yJ$x>`uAukb;y4j79Oq(
z!1q2P52ywfmV9lHyr+hzwmH`@n|!l*uunmg{J(vm>eF1iZk-<1@dIA9`TBYAxB19j
z-h&J3+vGf!H6NH(qw^98KzuU0&Npe+;GMWuS(QhXY<IV5DPy?B{yE;gqdLozomVh)
zDKMG@G|?slPJ7-Z75XZL+$?I43Nztv#&x*|`WOR5*+_?GBQ!9?ZK_$qk5A4M=g+NU
zPNhl>!_#UmE`<}|*l!=pOG`T}601>zMPlY;j`H#rM6jV6*%|AP-Vv4$yMEn>TUD1V
z6yETAZwqtCIGjvm#NKPMj|T2a9%l`XzYoU0)YA*gm!j_J=gr<h&eT2_L)5xYccGm@
z)@()MyL@Y$0LHn7XT*+0ckZIa+Metj+3wq`TIT8b<4=u$(_y6z3v-uUYdFL=wU1Q4
z__`+CNLe)F-10d(C?NFS2diZ(*fg9RiMlcxysrAJXTX__SNT3_g;gubSI~6*GV{58
z@>}ppx(1Qvyrpla7g)tN#ngs04ZgP9AAbKprNOX9`4<2MSc{<lUZ0XfLqYpp(5*-M
z)x!bP=R2McR!(nr-J=@y8VwB|K>gO3+7BP@12Q?&UKoN~z&yV4_$9uDPK!YvF+hMs
zn?TSubajm|`}I83g{g#KiKvgpfNGIZt;m9&oxQGrziFlJvAsWrTi;md2lu+90BZ8`
zPMX}YeTDX53(JslZ`Z|@v&&p%)JL^dc}v}=_H3y5V7ltPOVkbZi;(u{)6idAJX3b;
zT8iL94)I4BMfMy6&zwUBtW-0+{9juNUye}tt7ggb0LPR?@4tB5JU<58a|}s0s~3zn
ze#mQF5ru1wBn^@2r^`#DetPh3o8~I#x2+D9c0h%OO4tT{YVWsWjKQ^uKV4Epw}})x
zsvl00vFpt`9@(R^)$!g|t)n8#T+DOU0LH=t2mI+36W&^$%H>n!5Y|;@-$0+aUM*Er
zr#~chPxxzXQ?^lep=+-^f9U08q|$L(b*%eG@A1bBeO)TyZnBN8<5K>u%RCUSlYZ3n
zE|5R$ih7_C2!NC%!kWSJxNH@{=t4+Us!fC`hemz;+*<Eny((`ZIUP8v6$J+Km5#4C
zT@>x2=v$6#8#?-X3V~d^o9rr8RDRZOu#r((440@<%XzWN{_YBk6jqC`BF%<uznS>s
zSaybYvPT8zZiYtb!!YeXpN_e@-Kz$=>sKZ*8)_sU6j?;8DdF!w{kd%3Q}7yL&iXJv
ziK1C-&+M4QS430eo6{U{g+WyyMN`Vv%g)1ilZKo9xgQ@-&H0E;wbU6;g?SW4jH8x%
z;>p|XwH*zq5bdKk2C@6^9D9?RZC;wgQh&lb`Ol_MhUilJe}9O|=)6V$27I7Dj5b@j
znfJ*B(&5ua$<v2ZZQC4W8p4$%U76nyeB!EIm|FUSNBdc$&4W^WnQpUYrE0BT&D0gE
z<l#Cpr!F-|+ZEs+T6<yUWU0@mgF7l*-(LIjRsOLz|MR?m3tZ?A`yXZu_RF!Pd1t|P
z)Pj!hCXMEm4aeQqJvBX%@%|~aBg-}Ea&cFRDbA(qIco!YLe!XlP+C1S_eRNIwQly$
zNq%e}lu(`+W;T?5epp0mwK|1*k(Mv@sqTM#nHB{q6%>C*q7sfSK0evQwOWNP;68sG
z?<&5VTcXXcid6*8Mn2aa9zI`?ae&9VJ)-j>w{>Dw){$fHgLyQrOH}&zPObjEQN*At
zPS<_j8M>8=OB;MboS^!O{8$wmSzq`cU&iruY(5^Eip_h6W<&n02&tjgcZ%~J2m85B
z>w8RW|3PbZYGk`X6t_l|>8)F7dZu2K)B;;)bCa<*<HyXCQw<`vxMt6}bl&Xt?P?b*
z3;kJfUm9ArOZxmDo>QMPGy0c`D$meBW)c%lZ2`q0<HPC2ye&Eg7tWepsIKLYhp#u)
zG8DU&-{0X8-nPB+u0wUq=wZi}gko3yRFSQB9dYB!J~X|X+7L`Vkg(lH{J<wJ??sRG
zOnu_UffGhIcW9=qxX8vIcUdk{#fabR%E_Jo=*Jd!8f1pO$JJ{GB_d%=ssYKUp-(3~
zxS)PJdP3`uK!7m745pp|)NPi?5;|peM2Cq${wRl0!C}}~EG~xQw<gHx`>c6IlxUPm
z(80EAz0-X{=XS=#KX=tnsy{0KRT;x5YF=Etxks>ltEh#|N2<87#mzn1WukdYN}t-;
zDiV%g={5RjJbmYw;j88>Q{h9p4NtLNnLCidprEY0{U4sN)VhBIl|QsK#NC3~#QSXP
zc#X7#xW~6<NVWIBviK=JqIh1+&kI#JE|tE((FZt%q#$RBQ8M96g*pe)X6IUgCnTv7
zGJpzTUyyAyhwvS{jN%^?0E|mrb`dfk7d+GgJ0NOHa8Dr30~osm=qY2syq*xdJJ?ao
zFBmg?@0JP9wzgecEAFohZ(`tE`-m^HVswm4vh2ag_Lc#DQ0}7?>f)N<Cb!F7JJ*fP
ztJR$C+}-!#u}<MH;a{?jyfRze?yT3FG}dUVN(mF=Qf;J`!NL3CL5=yLT#NEVxQx(U
zgjHB3!#PMsHOwt7_lUx33q3PY<u=%*;WmN2YRmO%*NPe;)s5(mX=BBZ_XKw9T*b^D
zGxJMyTLZaOp;G}tuxnQc0C9u)#YKhIafCy_Bl7{cusDRmpc`L`vkjNViM#TknOG~6
zUq}62_QuZ%oieV_d+8<*E;8l66(5z4BDWLxAliXkNb6Oj$iaH_!A(;719*bI2Cg=8
zi9vZAl0#Zc*S@O<QGuueVE~C{i=%I#xGv@y=28dyeBk??TVkBW#L<q>13)2MoSXqL
zW0_x^Hb6O41;3`C{yYV#6@*8Sf_cx(_5A_TQK1;nGc~P&u!WzjM}n|}Ak!l70T>H1
zk^^SbQfr~d5MHe=eZ=H<jw3la(|ugRE>|UaPsFxAYnflHJe8cO8Ne@0=S)r1R5GkQ
zdZK*MTa?E8rrXE79OZhfE4;hH_7yQM0Mnb<oZ?~AyhY%?!%5*MVMkaUHU?~vKcofi
zibcS1VTrnld&3h5rO4I=CQ^Z2MS{d3$?PGtEc$d_wdAmFJiAC6!h#pT+j?Is=>vGn
zS|AwSM;D}xwnT*d`0=B>nEvZ%>8I%uK+PZ)CxE4jV%QGp<<NWaKVJ^X>qG1j07Sw{
zkWCn?;WzBTUpqRxvsTnFI~uN%h{AgQ*xnoCl4UB}43hg6^markhkW^}H2!wLtsK}E
ztO{4KFQV@rgn9)dGBr{74FXRk?g*h5b6gmWgKmfc`E!ssyh24AG)z!$P(XzMxW&$V
zl7pujzLl?Nl?IBtVu}zX8!;m;c^4vEj99?cx>n|3tOnYpGh&^dLZ9A25Qq9s2JimW
zS7+=pGTjwt37K5GIqzn4w34~`4lIuKM~h5zi97`nLGkVuPEYP4DJL=%TFn^C)wvrs
zWSoDhZniD*e1N4&yIgtrv8v(+93FueM03Sf=2nGsEkHV!zxz-AprKj280{8o=ibTl
z;W4&-?=RdFwHFo(tLWlc;TUg1rA(EwGW=fh+&4biF7Y>?Zrh$%*t4#)aW8&h@Z~6V
z(qzpLY*J{T22g85{C5egX|MAk!uBGmqZf!{DoP(jeC>nW9mbGaoDJ_0q#E#2X$XBU
zyb$ZaJ`u?^aLNfVY4PXEZ4jV{SUc2-!iy~pZc2L^QJkMbZC^1@fmT>DikmtqDR(e%
zZ!MANRP6O9U?^HQqxtEl9miFtjq}?!v9oL8xr0ki0f|HGCWpMGpMG@n0gp<cS$~+x
zxK+6%C7*S<Y_@TmLSQ&l`&3EHTecAOIfVQu$-BIUb2;BH4b;Ud9zIM(C=DD4kW@e>
zq#*hRXGJ9n?>mr=2v6S6ks_!A5iOi7K)7QyzPP%t@3M*cQth$mp#lpUleJVTkNVl8
zl&K2?du7X~OK@U>=euM*PXW$LQmY`107y-PcxMutM?fs}jOV)D+K4|K5Sogqsj0Ic
z^3C@kd_WkF<N<<W$@uiQg+8ryPccbodGycnb>whCII0=9{{((Y#r(Q0dy_#O;$sut
zIH29rPogoO1fn<ubXqS!vj`Ij2jg2vs!4P@z%Iz`27!`*$?XFMk%o>Gw9VwG-=Dk0
z8a}e%^VcreV!sP-8&^bd+2`GUzqDqLtsutP#zGr){PlRJfGBn(jV{u-XLr3_M8jNZ
zUrdt}^W1ayDHpu%;l*3Ogz%SRMh_ZKMPp+YBozStEr7rsPoLlHLC&Bi+;?xMV7AyN
zR_h6r9-QXlJbxLEDYp86RdW#$4XrtzGa*94rOlyfIw{%z7hi7zj`iBci>icFipUT$
zg^)@}L`udoPZ5$Ra}uINrpO$j!8~LNk*OjPQ3y%K%9w;qDI)goS>O83+57Ch&vmV}
zu9b@SegDsJ-@oZTd(`cZw${ts{zI0^R_`sccCs>jX#J-WJ@MoAdiP4jEIlQc7g8ow
zvHc74g29~;>4s_UOpIk)bQ^86)O$|2`};brpB82;kUo{6&qx%{ZL4yZJ-iMFPJFXd
zUY4+Q8}Yw#a&7ZdYEekg8Wpz4)}r;GAOYh9p@oS~q|E+5asy7{L_ni#7|{Eq+a4WZ
zf@>9&2O_5)-+-Wrs^r;VXqm19Ivc!YB8$WKF&LXS^IEhbL$nC749KvN^vlp%aFWbl
zFoeP-Vc!12#hg<JumhH+3*=R8k9W%Wg6Wk{B#!p+Ju>a8uy8ciK^j&VqArKa2d(%8
zU}Qx3f&M71gUagxe3AE%>_q~D5E!5*lQA|0T?1IqWH^IJxGzng!(JhwRP^RVs)TlI
z$VHkJ<PcGjVAkfS-si?+Oy3J9ehoEW=89Rbppmj*$yjg_gihAa3#%`(?PWh&i-S1|
zLjOPAce!PKOFLQNK(?T$8YUi**wc<FM3Xa~qbEc#DZsjp04xm7I$`DnV?pP&*H?ua
z#Sok<jEmS4Q`kS`n?Atnr>-)D9_t{6(6^x2DTn%u%ta;}0`G+TXvJkrpOhk97KC4T
zwV4nfVd;|@SrcwD<nXvyF++uFg)aZVl^-Tp(8SP2RQ$NpDKHMf5~`(<QtxM9f<d;C
zqkwSujukUXL~mvvs~fYa_(`_&4NKr2BM<)~uJg>aw`$a}o|S|*z*Cw5p}i|Vi5O8l
zpHXlXDcHiqR+rY+fKVcNEDn^d8<DWBFB5dY{p-C8?s#i{Ey!n6Ra29`*vm{g@ZR}H
zk79L&hkFD^{gny9Khh=pB^^EAyiNPZ1R!X}S|KL&H!IXwPns#wZ<h+&2Gg*|k+-dC
zHifm`wGiC%Zt&Dh#Ddd+)7ND8lB^mRYo5(2S0#!*g$&O6(L~bJcx1Y-6Zjlu7M5<{
zBNzEM!+k`^^wf$ekoXY*zZ>NC+9~y+(xZ*L2<{P=8`HbSrlw(p<Cw#abKz4#{m@zD
z&g(yO5;-jil^g~_s^ty2Jtt}w#FAv9l#%bxU-_5UK7M2P;xoN@cbr7vY2nv!EZc!;
z4v_2_WxF<hp9;tsQcBz3H7pF%_IuZPJu4qV3ADYqevK<~cjTQrwTR07)>*KV0v$CT
z-t)cy7uMX4V2#XImSO>SMsQuEL&Sz$p50QDD9Cws?}mzZ6Ue748YA0<MhUJBJ(?8?
zRA9GjXv7P~Acn!ck3R(J;?%%1E7yY<N>M}c=0A-8CYueHa-jDl_I*fn{H9!OZEc-a
z2x48eGQStR-a2_)Yh9Js4gwba{)H~G0<o1QV07h^pSB%nIs6Jr0KcUwpjAdCw)!eJ
z`0$FbeRx$FuplnrNF}MQ_;F)i!l3qAuw*zwmBDk901oK&T*ub(6?uB~Ui>?HWcASa
zjysUQVFZN{)EF>7;22&<6nReo6q2hHf7{ftvWR&OFP?kN9jxla{b9NVooSupxnBE-
zp=H@krZgaAI#E#GN{sv3VUV=P40E^JHjV{$R7L{V_-ZgiD6W~t2D$YP65F1!oppES
zxZ~JZ|6)J0>Yg<WJ?`5Yk{f7^8TM=MjFa1_*|bI^aeIT~k*K47_LtL&thMg}-tl!Z
zu-)x6`k2--F2ce{$!$R^U_3HJHmixPMrN131Eb*l7rS3>&mO+kcbFx;1kO4oAo9mF
zPVEu6e(>|<7FjaHm;&;g@%X76Lq(*{VUkCmbK@TFc3I9XdyI?A`<JRxO^(i&1GgXs
zKPh%P6olbQX(<q1>G!-wndfbYO$TWXE;!1}7}p(`5ylz+uzie(a&jvEg7qrIQ5!iM
z*Inhk8nc5d`<U#nIQPiOMEN9MCd(kaC+F<A$K%_y1NBo?U75aLg6PT`N>ozjLC4N@
z;6OAE1ga;V$=_WW$v|aL^vo#qq`N#XA>V}C=P?eaCpg7X(O&BLeMnX|0T^uH$>$IN
z+{3NzRaNz#)syMa(-*Jn>duPYJLY=;gz|{=J-jjp6(twwK_ERgj(J-Iln5|o{fWJm
zjPYN8FTpc|IY)_QawkQ{?p;RiREC#HW6!>9y_DPbF>0<o$?9rqw9x5;uHa$W3fk^G
zGzbLW^)Beg61csrsJKA8QG0A2l96ZkOQx9_`}Y=^7Ex@t0lHn?MGS<}?=?GKcrw4>
zIoR|4yvenVYqMLZHU~EbPWf-UK1m}^f3^4$|6uBhqGNTOdq&!~e2Jm%@5e=Fl8dbO
zmjyGwnx{RsOC?Hg<m(#S5W2aN4L)a|a+v9z^=XOkalW)9A@-n|yQNVhwjJB)N}gtH
zVxk6^+hY$o4mtayZ+VZs4rZq^(nFw3dGB*o{WdRdCo{M2>wP-M^ZI<^Z+>#5?guWF
zi8+7VbG4iEv<!7*B_A|H`Atn@DGQW06o-FgadGjJk7*(L^(|jLJFcY7^eNqW(mRQ?
znI|>&%X9Zky$kg-I8WH>oAbRas?T1zFPbgv=sR}>>uiR|s8F|&TNv6XjwV|KteL5B
zO;}pBYi@RgtvLn_)DzFe*+{NhOv)rub-xx&sDg25bpF)a{3n|E?U}hPR?V+&^jqr*
zMDvYR2pGsGzr!r-M42DuX?+z%=I<A^GVad;&u&BSM=K**(rr(ylX&(CWi>H2__4?p
zBRmqmg8!@5)s$6)yR7V!+i9n#K=sL#Os?tIq&X)CjtHVqA#~k`>j?;5UHPEz^p=e9
zAbBfs9vSxJhK2B*$_^!|;g1uqk8C_?)tU^sg)Lji+bq;a(@9S211Vzl7=%K$s}|6?
zJnNBMbKREmb&&hXhn8B5@een_MCG@|bp8bMPkMjvwWh9(R=@9!qf7@s$K>|94E9%2
zSRmTcuN~2QCm|-Z25Ao)gy@w6IZ)G9*JoenjTe%Xj74-({~S7JI3170w%L}%I0kR_
zcQNsBCeBXY`|?QwanCq&asR{XnFtF?yvC@}cw5G!Apx0^cu)`Nnncb$IJekUY@_Sc
zgANy3#EVZU-gSR-dFGt-0H`nq@ra_XZM-fiL~Cx=%ouSba*y*{g&Dn-=U+{T!5Fs<
zkxD|gSdQRqzv}!o>!=>%VLErdE)qF_W)YMc<NHV7arY4eHX+%t`vM<rV`5^OUBS#L
z!o)xs?b7qr5}nqjU+Vhjp$7qaT2K=jR+JtPJ^u4e^{cA!;g&UI^h);WvL7~2l+mkO
zcNgsf54Okf%QzP6kIR3r=-HgW-b_PP#iV4IXCPeG=e&_zBObyg_uxn&gJC~8X5zPr
zC4soiAT5(jx0r;@!t!_mdXInBDpA(LBV$q4YXk>^N7%j%zD^@rr$zi-CvLnomv?*K
zc3kmnWo66yX3iO@>x`o^Gg88xuS(Ok&jPSF8BF;Zac&_*w!v*D@Y52bK*@Lhl9E3i
zqdR&SC{EApyz{4st4~-=nR0+<_eMuE(WFCAu>ccZz`f%Ea+E+Az*IcpxZMP$<3Hr6
zK+!}EhGN_&dj<0N=(xBmuis6yq~o1<F3;4X{)r{4)qT3(S)dAN6Jb^{o*4ebmS@eF
zazm6c+cXc8lzN=bM-Z;@PnCwoO*Ye+cEt4i)jo_3fd&Ys+>igR5PYWFK-tNXe=(+D
zASIA971|)FD)>x5fjvOiG6O2$F-}ubK|?ZWmOu8Y8;$4_n|6K-hJAy0&sZx?k70V`
zVGv^n(P3h5FT=gm2k=Ut_L$ilz69D5qmaSq+b1eVID<8n96s`liJtV92K)e)D}?wS
zu*f6xc}WRNM3`iT7J`Av7*Tvbay=pFeGWn$s+JL=>Oh0HfCGons~_8nHa!dO^PFoY
zd=n<B#UU&S?)*A%eGO3T`^Xz^ha%n_s}kViK2)nHYny3h4&IdK*TtoA4{`4h`QX{y
z1n#j?QE33E<1p~ZiBHetpdyL~&FBXiM7-N#u$M4FA;E{#gNP>DUHnCIfsK~LYt`{f
zK9F?Cd0Z7ChEH-BN8CbhK#mG%0>X>ED{soSag5^oM=)1v?#s3O#AX}Az7mHJe(B&K
zJpSbB+e3$TO_*Krk6Oz-&_=~ps>xS+zRRdnmsNaW(u}c+y@CId`wXXBa)HBU$p^Ph
zUzpeDQ7LR@tgFA}>)K_1djA94=*X_P>Bs!c6J3z-c*eL!{)Qam60opA=ciex%S2mb
zf3xFLai322MEMLAY}CDbsziEGdP&q_G|A&DD~=cxLDVSia7x5BauJO-5ws8~21GRl
zP75D&)gf^OV@8@RA|!zmpKMV`U+iNV1x*q$sfoZC<RAcmb|FtWE+;%`0wv@HeAwt^
zXu_0UVU=p<>%Ie333`nN7J8rhp#jp)!1^xO$v0q6mNEkMY+x<|&<C;$hm#Q~Z`5WF
zp`<DQ<cKOn5tRMA@lQV+@4ZdtUOpqCeK_;tJMJ+(X7TAbSSRqkR1h8rh1n*JgDjgK
znLLd`TQ&n$-nswf8j$Kl&INf2xck+Fv`W-Nz`=i@E{b%(m@G-D3Rgv__+P@3%!*|V
zAv+{vWEvP(qyy0kla&Ag51DNMmx$E4)g)5m0O=y~eP|r#ActuM=X?3uS&jX;Vd6Ce
zAkN{yfK@CeO6BBi6~!ttKiCRIJu!wuxSQNzYlCh9Fq!OLD-qt^`U`IRST<qhWAwPr
zz%s@z_EZ11#mJ7(4%@o(PxP}*Q_;i=)PHTh<Jc3La*4M_+Vz?F(xteoi&LYljKhbt
z>~@8o=Q!I&)$=Pq?4A49owjFuHuko3FHCYy3pbb@fwDEljS}oYu;J^=S(J4JL_~P;
z>_E%l?yku(>tcG9C@Md0pJ%R#3Yj4<M}@1$_Z)+-BJI$%8%kUAsV@Ba>-N+Hq7vZ3
zJVk17_EQe*Oa^<ZPn(Gdt0DxHwNt6U8>WDy<qkC=Fbni=+^8vp<^meoFLm`ze7dW=
za#qIJk2b-~Z~w`V=N|$a2W0JTq}zWxvrL=Ccjp+h&=a;d$<>C#uPdtrTQ7~Dku7Du
z*myiUBe|o_cTnNibHUx+if+G7XGv^l|0OFZ_-+0YAOEjy_jdh<2lLhP5gIw;iiAJQ
zQwh<#gKJO?y1bsbk5?)x(S26=m;1EL#6nAJ>70rCC$FNi(I<A3^nG-DjVo!x4Ak{f
zS(B8NF1|P4mn554ir1uncROEe$K$PSxsn43wia1Ce1LqEe%EF#0XLYXrfyB6j8EsH
z3Z?3?v_cA60gXo~#o`+yWOl|0$NdM2e>Z;VUjnhFBUz1=kEj$uRi^^shi_yx1+f|O
zT$hQ<i=0(ZLT}X8fbM?|5?1Dn9g>5ep9j95-|_hKXKIWj@wR(V^vFr%`Q2Bn0SlEr
zZjTE~YO=fe?*FaY`O0Xp&b;mY<LiS)Pn6%rAO2bJHhn{BQbz}k!j22aO0Q`f%{NFM
zG(I79>(=!*GKDk+ElME$7#P+nBp*^+J^sEfS&;MOYs<r*JuA!}Slj-~-q2)b>D(ab
zKQR^p=i6ug@`gFJN^ojxmNqY{i0$m{CRhT_LtRAygHy3w&p)|q#><Pk*3>9|v+a-`
zeP<jJ9uxH>mm==dx*KnDGS3eQ)}*Z)YOm)H7;tvqf43xtF8q!*tN4iYcHu_ROUto=
zCWA-8l|$1i`r7vp4^u(sO#?f{v<<JY6fGYGbe_JUk>p#S5NNO?z~I_gpv3n7*th)~
z)nlIjbO10%z(kyQXgjtkYLmbMz<pH|b+DI99YIqUuyH$Hq>2*n!r$^O?DAHUL$aQf
zRo(v5JcEyX7$Od|M$pKAPLd1`k6oMGmYc18B&sWYA797n&HfHn34OZI_~x;q6XN$D
zM>cH@;}7+(eE~20jrz;%d6L2S1<$qP|B`J&PVX*Eq5<QA<Wk<H2`*8qmNR;kq6hEa
zWnqk<c9C9|+yRqZL(;rxl(Aort?aqz2jn(b8QB-0d}8L=-`Wq4&2NcsjbqoasH71$
zo>!Df3@$n$#K8HHQg_mr``)e??ZG+S{(1V0j;#-$y4Qom`-dBiQ;VT~BPt~HkKPkF
zBS1~S+Zdj67Rnq(CMMGxJfMu1uYV7s5#PVxI@eH{gMLj>=v&LRF|@y5oaC$IJacpn
zT3?}wijJY5g$^S}omYzo=Kjn){mYo-q+OuSF0n)T%!hszeH-z!EMXEto5JrbEVDa3
z+dZ@B*IpWTM{NHb%{H-!eTyw7_?21H;J*xY%`WYXO;NB<LFZbJ$h4<uU2Wi(qad~<
zfXk$|L8}iY%Ht@lFb<CV58F3>>|HWHT~2f66bmegryR=@Yg(%0XO?CX8kCcwg8y;x
zmPS653{G`2H<YX25}VwS+q$FVc-@1UB}TsV0~7PJrIqP-_Fmp7IJ@{btD|o#D^0Se
z%YxK;&YhQ}Hyg*)#ywr1&N9yv{qJ)t&(Ys4FLt(u5@JLmDi;;a@2h~ra38*e#@Wkk
z<8Hh%xqnr$ToerS-?EBb8Vl~MtjJJsHXkj%bg9~7E6cOrEl0w&ooaoQ(vI!Q4m!C{
z+jzLzye-kS%j|i*#_i`pG}kG&e|qXldF@4fpS_Ycqnxx$JbN7V=Ev<rme*8wtG^0m
z^tkSy-SJINh{44;+@q55>UAD@p8q^!lMZlMM#a|j(7_5Zv#&usBDs7A;00t{!+?YC
zv~9>PJ{i7L?;{n|TLzn3s1>Ur+vr~&+@|qs)r-BLG4Nw@N_SOM!&3XrC*{tse*Jj+
zr7rGT72lV8nmVT#D#w35)OJbR=oKm;yfJwAS*3`afl7XF$RqhX2F;~WI!!_n!D>7w
z^Iqo)itl56ykvQ}=vb7ta(?fLVgrTrUm{1C^DUgV-`G#PX@GgOABD+xQt$$02So0Y
z9m0d$m6s#V1M^okWzOVwSnOjFwYVk9sTy^v+=&~!!_#j|a=lmP0aBjAdjvsMnKdH4
zGv@=fD&n8RG}}G6<w4>#G&U~v1~A~ep9&4zv2E^~Q<FoFx&6mY3Ta9(=HG7O`Q_O3
zYJB$WruMdPH;;ceW!CKdTw>EM98+3px9#*3&m>N_h=iZp#zfwkGz~XLci*n^v(VgM
ze<EVe;cHo!?8wr=r&?q=V;!3{NHv`sqdujpRdcB<!annXshhyn7+O_dKEH7H%Gi$v
z2mUgodOSWaG58bDYHjsxA8q3rH99I^uB{8F@BXbCRW7Z0%Y1g^gin=nsaf$kMt|@7
zI861vTe^c2Blt4tNJ2fpZ(Gu7_G)VNjJLx7g@0WW(cgsa@&>A4-xiGGeMyA!Z{G68
zdqbsmG>VT;^;m8P1Y~4R6`Y0oJ?~<S>op~T?e1sz_NCwX=_%xa0B<}pc@E&7e*WnT
z?XVRQ6n&rqI1P^~12Rq_&K3j82RJa$tblM+xTOlAmx^?S=j1v8b-^?MFeE-7B$+Q(
z#4cLwfM5|-H;r7u#Kq1La@B#O#c%{&fEKi)7p$!4nV4M7X!)^!3bB74y0r5jrrT0~
zg}uLAJtVDRv;4`heYO%|N_iV<qcu57JBNNd)q45+?V>(($~ltf3Oz;L4-0lP>a)-G
zrEb!$WjQD4#(ZwBOH@tw0Yg&Kp}^U01D)VUf{a)Hvgk8(xEM#dN;C3N@gJW#k&?iZ
z6d_d^`<x+_rakK^f79_`ZOxQUWtSDvrUz9N7r0q?x$<`p+uwM<E&0Gvozo4*+wK-@
z*|PlU59{%a;FAmkJFBr;U8Dh9#4U?vAdNY*{hzoBAnDhCe<Hy+U_;5IB@zIIR(Bt2
zMLtyvK-LXKqyx;-&7{M%L;!MvziA{~)o%RpdkG5c+>Wci0s`iKSac5k-(CI%wbG*T
z-oSC8kwmF&?6An+Vl`K3Hsz7miQ<#=KZIs|E(+dP5}f%%JS+qZ-h!SSPA?_2C}g@T
zaAh$_(a+*#7CZEAzk%BRfK$IbEDsUY=0w5jGWI?I#i=$>+BpM9nhJiVN`uh{#18wk
zSiP}DKSoUDncL)BfR2V|KXgpGK@@SfU8x=Suc%>^hO(-qkoRz1;o#hn?!S%n@w+&6
z?$<@VKTMTr@-`((p-a}yQjx#qc71Hc9+AGX$SqgA8nzf6dCcogt@wk7k8kkgrDApa
z6KUU+^bY9r?iRU)2R`t}>Cv;0%d=JakNvF#?1!JpB10MQol4a49PJ40JpMPyLpK}t
zC2FXfyQr<z%;a}czq`BK>u$?Y^<KHAs+OA-3H?%3-uXT;+xn+3`p7pF%1$rUI}K_^
z{_QXHlM~t3V&twJuDkUewW2mM8TGv|{wtD6*nn~;Ch$I*m1I;rH0pc>%4J+ubC|;e
z<Vpc^6E8`zBSRq+=GA|M)fFC>(W$V)AcMUy0_!^oEqS>rs)He*$KZO$$7umG5E@Vr
zu@}2dr@-C(&+c?diWL|!ph;}BVmbnps?U8WjDlEngMw&~u5}W-2SyHrWBK=45qZjg
zZTO*n5Pwq;>uz4z=ioXEBJ>9u7zgL*Wv@L2Q~>)vj?W|3A^Of8h~ch(1M?2m%{s0_
zhwiZ+IPWj=1+N^i3$>H>_XS|@W57y)tAcFEul!{UqaA0_N%+Tza|E5700i!!Y-a&D
z28bNM`~q?`ys_j#+y#hC$_IYr6~kfv1TdWWU(v?Is{mR^a2R|y(9m#tEu5VY2zz`5
zZ5SGTqSC-`;HS?)yGc2E=1o#W&c|~`v3_f!bax^+(kQm&n(Pm>rHC-)?slYrg`0?}
zk*G;D7=X5j%aV{(26@IrRZG}Ge3e+d`o4fMC6Z7Qs6u)x!qpXt1X`NMYvBGMyqHqj
zZIIY6fG_t~;6sFM9(czv43@9W_Yt8s&;KC>K%w;c{}vdKPM2tlj}%-qm0!HT1!d$T
zhLdmtkhxUjfA9&dk#e8r!pjr@-2;f_>hB*M%ZXKbIen^j00{tiiAEfrrP<6TF0ai9
z(!>LC374LKBFGPO&LbjA@~<B|=Y5oKeTH1Iu|N?!OUi3DJImj<K6xh0NO*)FW@NOz
z*~xcoCw-AuxoCX)W4@@GD3xM9i&n}XI@m`;y-gS2>}?i!zg2Zgx^l1auZHD{V->-^
zwEMF4-I>;h7%SZRqWS2DcQ=px;yc3#`^}a<>|Zu2U%9bME>bpi|BaSy4UGHiZ|r9<
zQB2;yme#+{r<d+y`pd&d%a6fJjewZb8LnWaFbn`X5omJ2%a1^-f!vwoHocXf-(T;z
z_~`v?=6%GfZ;}1E6>oVRG3|YY1rcc$MSVp;P13QCJRtz@Lwp32Bc{dc3+<2sWw1Cm
zItM2JI^UB>l_xAEq3;iVa@hugoP0vWSpmLmggkBGf(nK{B<!N0J~;pw23FVmKnnsU
z&LLcZ=*!Yo(Xij8kVpO_lHAGRh!{*FctML!00wZK01Jwo_x9<3Q_HI-hczx{@G7}F
zjb}oo9m{&hK3B@@t^CP=2pp&~+HhsU@_qt0s9z&)?J!^`vw#_h44#AlUBYhHt@64~
z0nFj<feUods=&PI2WX810O4jP^eY*`0%T(|)tR?sm@yM^HX#z3M8=bZ2XdK!x!Z9=
znbU(3*?ol4ZaRMe)iT}ZysGy{cEXkm?FxvUls0RjN8VOG5qKpjo#QRfD&KxQ2h0Vw
zfAYf#1{B4}(l(u2@S<kwH#zkkpN;W5J{{SPExo-cAMpgY1QPp+%^iRZlVqV#<JIh@
zD>H!H$YezL@`h1l5DPrs1g}(&$V>2N&BT!h{Vn1y$W%3l9&zB9pcMBIl#awQf|p6f
zrG^_1*M=H?)dl_*JRX_&1@~`-i587H7;$0-u9$r*3}M*1k*^U*Ie`%m@}7IR%qW1I
zyH|ehCu=Q4DQy5Er*zbVB$OyY<I2aOs;xOc)eX{=HbX4*5?j6rJmR*{tB^ty-y*nD
zRUMu8>vto{u4d6?_M6xXi(9@t>+`m|L{Tf;2|4F>@XL>$#w+zNQfg288ri)ba5cZ&
zTb}ZI^M}%p{J4YI&PqJ~F8q$xhVfI-{j(B<9`>hPKZZyKtNU~Y8s5%+*r7A=J1v&)
zLsV__n+|JwM}D2$Lw|$B^9SXfhEGYmvvW0SMNwZ0TQ_I9(_cW|Qml)PdPVa4=I2$L
zEyGSlCofhh&an;TjLu(0s2iwuz_eE@F{~Cb&P%7)MC9b)t*W%9JbG0Ttr@QQ5%zVY
zvI@n={ntMJkosTyczf0VWFJ?;5JFT1FciwLa4q7Qq6h?>f24eKL1!a)6w@DTQvoI^
zX10S%L+7wX!yAj$22T=4J*~zP!B~;r#LMdk-YB7D`Pj>hoO(D@kct6G75p+-ssv6|
z%R6o0z1NcCA{_WCmB@|Z*~lzvi70$L+rv`uSNtH0Sf1;&B~&Vpj7x-AxQNliuaO^$
zCMXC0F?NQr1+-b$BBrg)`q=k_Ti;I+%QDf10ZKLBCy$GjB$yJvGI82hkJOD04H7oO
z191+xM>m6Apjg{%M+VVARfE?IUd*7}(dbh%Ms4qt7sEvbng^n@IitolAmK3H&{BRM
zLsA89*@M2W>(|bYA+nD~j!b63K|t0x#mReO0g#O0UfcBf>i8ZgAfEJJspz(+T05Tu
z^Amo1m*vY?Bq<Y-1LRhI?Nqz=Y~QGqMqk#;q0@N;G89XruQ-NisP4hVq7DTVa8v?f
zUXWecnDX|EC)wpFDBwCOf+vuIa5{fD=_v<-3zupgUo<aof6#l=EH6|0(vAtvbzYt<
z6@gNhUWRAhyv;D0)K%%$WPITE9~FkC4eo!<u6F!T)HyZcTfIGDBz4Qwj*O1vXg&71
ztG5}~OE5IosJjH0CSK1nyRhcYFqJR2@w(cB0fW3g=Bk!^tb3U0{<6{Bzk6<Nb!6>V
zpON?gpC)>GcKZB%aNc+QOe^YhJQ$qX?<56XZYE|ifzD7r_(?BYCPrXtX$sVpen5L}
z&oGhak+>mLo%<0x(*HBMH}cE>Lrp(2I*{(*iQNxHA{GS$#>7N&E4X7Nbi?I{YQYMv
zKUtsdMVpiVC7ty&Zs0cv>rC5QHua@yb?3D;?z=jM@Nj1_4;ZiLE*yxUtdT)rV6%g{
zD7+VbUyOQ$1y>Vyyj;?j%yw0TYBxw~=2u1WVd{Mg*hAlTGVGeDQlLnQfCF`Oj-J!&
z*Ovy!7UnRc8bll?4jydAauZSbyrE+|{HyC6VT6}qNFW+y{6MNk=L~PT9G!?0YHF}$
z-aYw{_Q__1e}NDsn!?AAXF0|Vi>Kb&qVyonVTdbIQJw>ON480idFc+l%J8)qpn4C>
z+!sYS^^!UiAUY~9?SNcYpCrDGfJa}T1$5@E2b(3m;EhpgkeLp^rnbfCEB;GRbqYYl
z?Px6`r^Zoo$}Mo5+0I4$_t>Zd<O`W}r^+09l@QVY^!Mu#=R#a?LKmkz4~@1uq4okQ
z{b^Ao1jpj~3%|P-En1i-_Vz?5WmFqx)x_APJd<F}GdTM0fcdOc)<=>1w%G><Bh{S#
zB=FtcCiPuPE&for%HNSMp2z15KL+{wpSV5K;N=|eXv;Q#fi9|xPT@11Q#{R20ft@*
z9Y=q=z@x`?xE8bvPA{4Vahp&o`3uMLsp`Kto!@3nt`D4XbpuZ3g{Khk<k7HUq|WL4
z%3Dz{R6|I!y8d(o<hRWSL6`CwXvD~HZDP^R-x3h5SuA|{tl>k5gg{kCgI1uvm>*Me
zXzw|3Hoq&Ib88&SsHZFwg}Av>-u6B>Hc_4LvX=y_#=#Z&sTFGyK0Ferq?N5VA}XTE
z`Fh^s!wh7UMbL+!KO=r5sLuN^B!1-2*~2AIPN+sjTCv_hZ|8&vmjhnQ?zq!}J8VZn
z_P#I&bbG<m0mRrC3RY6+kU9Z37ZjFzNh0)&JH)d@4Tgt03v2cqG{j`R9l)Il*J7LS
z%A7VVxoy^3e>>{$tLeY6Yc3kgwEI7j?9CAFY@+;bbM@-gfbkghBNC@1;Hku*#U_O1
zDEM9^=cdXpQ;6wf-g>0SwV<QtM==y3_a~^=@p<0cgsPrNH+*PyD4UEO&Ft+b7KP5o
zm{zcB0dsDAc~RN>oZ*USs4*{FQuxC1GnJ^|1^)B*C9*@l_HJfLa7(q&*{63gsKdOH
z?{CmD$9l7!Y)s3-V(}uGJ05(gzgVY{*nKVN^;sn<ex*Q{2DV`#I`J57yLH{X!CNMj
z2Oh4<FRLn4gqR0$QTRlEKsbBjdBz=NK=xK9raJ7Nx2A_NKj<!${+Q=c+g}V;sU6Rp
zyk6)L8ci+lnARo=2?zvYF;HrLK)QL5S_ZA;9tx6A0DW9Kgg{WcJ@4aaeA_za!u_gr
zEpcqG-?$yK6+N{d95Brjb(J+h<`2$vLiiC6JpaFZ`|^MIcHfr0N*rfEJONG_0Ch{f
zmf2Z<QmW|DnHX5cMWrUe-*Y$W=~WRiou$!vJpJmTSXb$5MWoO1oIXnaO$4z<kP`BE
zy@yAKhAE7#9wzNYD{uj(U=s7w^x$AbAm>#<mY*CjwUZJJyLzKd{;ozbWG7^TvgU3-
z<1xZSB9BN)M`Y+0nxCDQo_%B^nQ*PiN4Z;07h7NI5ep0qjJ|uf0RWC~H9O6R#iHRr
zbV6d7w8T!Qysx|nC7AP<89*_l10_CO^m>R+TW+UP)%b0?0wWzvkR?Lv`}Y<Lg%Q(+
zQ^xFDGlQ>>h9k~-C+m)DSqA(m{pg?jsP?#W>*Svu**nj~`NwW<%dt``b9i<6+t&Gc
z36J8sv`rTe#VematcDi;!k6w{+W||bwDliNNvV@hF;qHQohxWxc*tF5ltr?jU^)1m
zZ`B|A?Dg~#DaO1(YE*W03ePwCQlOSZ+D{{o)LI{z0Alh-y)uFvD|2|3fg}+&SPb$^
z!r1jEG?3MiqCkzfs5g)a9P(P0!f1^VrKId202)vk!ml2N^*`HnE&^%ntC7D(0B`I%
zd^nzDF#>#^iVqh+GmN77c0z)>mzP|T$Xo+&gqD`pOFUzuHUt7Zij6{IxrMK+71eu}
zkzbF#0F#;KpnGXU>Vn+L!Z{SDjkuav4!b+4v<HT0*Q3#CgbDH$<PhC3Rg-7{zkA#<
z`elx$5I~b@&19+oDfdw_Z8GA=ivZtQ>i9_wF9Ib!SV!bUdZ0pCz)`V?O2JRP_brjI
z5Q?2Rx*_X9woi_E)%Ml&7GyFZS#<pa`Gh}!F>oPmlzfy|XE6X)eem9eL^8^pD6~gq
z5p+eGWpZGWZW{PdseSh`9J5H^9Yy)Pi3<JG|A%Qm5XPqa6^+9n5ecHe!aWKf^Vdi(
zXQ9~-x|(ES6}eSO{ugNq@RmvBIR#_@SEgmWAofM+7p%PV`W;{s2h&&SX)HJ9gO)|-
zw-0@Y=L_0*dpCTT$3^+%%9I%<sn1-k>;tHVuw!Bh!bf`oY95qNUkmFwhgwq<5csum
zB#GXD5xisb*U}l?Uz)=*b8WfveP+3PyPwa_Bx#-7XS--vZ{WXU-Q>>s`SEj0jvIcJ
z*zNvQ%&P7p4njez^3u?giIG|QhuW77k1?M4y4|U3gxe&Ir^C87O;E~H>>7uLoRmwv
zSqIOpb{oN;i?`m}(i~7)f4@1tVUu{t?aHmOG^GkYE6Tv0dB`0>-Xa3kZtb{OK_Azs
z2$72iloRe~QvC!*01)t^pG9<x?FX98{)u^$p157ghr(sPp{2xVbtsH^({<%(EU5@e
z4!$~|Z{SfdE+aAbX>(|7{M*O)goQ&e`WYW?J-B+J{KqQ6sn|vwGVK!qjY&#rgx(>2
z)I@Jt1XdGa*gI^kAc5d!<#QSsUm!|M5@Lw0gl?3?jWRMb8;;#Ym0w3BB&gzmJ@mQt
zIv{|MU&>^^JQfC|(-#S6j;5I;lwcW6Bgd9JbaKLxE)tr6k;s<FFH=ObJAelSsU?a0
z0a-$~wTW&)z*7#u_CGf51B%7Qlj}Dx6X_Us@_Uqn|8H<T!kvhiiH==L9*TB|UMyk$
z7spr2Cm@x;1fKy^ew(^~!JVS;{e&WsfRYR!g7bimCo#NF`OjxwMI6lIZhJzk4&YBB
z#w7^B8@kwd6i_uE`TKJl@yh%sink4w1ewrGTgHs~5L(eO*fFqf4<_MtJhj3h`Wg_9
z4JbvRPv{5QaMlp0jx-fNkZ6d6Fa(%Num0(*617pfl^%a$YX2(Nf1Sd;Rxy8gX==K=
zW!>C{r}}@NtK#K8+saaI;L2NH>i(v&)JG}Brv7-oO%l6F{l&7&)(dG18u9XRQK9K=
zskef8e$CKl34fcOa5fm6yWB7`kfu<-d#15=ym+EiW_OHLkJ8=Uvwz;WU45LT&&O80
zNhRp({cYYaqXgD+l-R0o?cHiIel&Ab@d?{Nu=B$&7qKd_jnH<)sei4Hv4kN+#JD)i
zMEM32(xXYl0(5Z;HOwaod8v^GI-kc6?#f)>Pv=I1{?gFWcI@fsK2w}TP+Nex-#V`L
z2$W`CdCy_LBpEkEeWG=Tgo+B|Ncl|hbjks$7j%CW6;-I#2|Z!;K1=_-K?PLj3QsQ+
zGuMXpEF0_n&KKudUNr6LFYi2I`oyO<SJA0vd~|-Da^ce7@(;Fj&nv+=oeT}nP%2R}
zf9%WW^O@b+ZAj!FW=p8~{1co&bVQYoP6e+vpM}t3HB1+Qid8(B=lHdKqE7hQEwSU=
z+pLA{Ki+R!4C|WnWOreVjB`-9fV08oR?vX~k(ohfN}U6y;QbX?p0P<dT|3;6k>Orc
z)Y_5d^Y-cp6?OiG1Gg<c=zg20&j!D$efj0s!<$D#4BO1-7OS^(YaD#Can~QUv$b}4
z{?~$A<GUgRQVw}U-BU?gop?pLt-)mX^q;lOZbF5yTo@)n&Prs_q%Z*J5_`gwow%N}
z80oo4&vzabxX9lFrNa)@!q*Ui@Sy&t!TTs%^^6x~tOM6{`tSOvJ175kf1<DHSrnu5
zfZ9(nr1E9m$B{$jC$4`}XVb~A+ARBJ=#Ue|vX^*ap_KPurW1j5qvCucBU~rb=r$M}
zw~?s*Rt)Ie+M?~Y_V?GRS=u{7?N!IrqniS1@AS03Wpk4;*Z)JO7wdkNZ&w>%Q;`4h
zZeebE70KH-ICf=tCKv`aj|v>ir4#SXwywoX&p(B&DP#A1K{xOx6CQ!Tun*+%zD|n5
z&dl2VA}<A&A|qR~#LNFW_C-Bd9$ahEP1Uq0Ep8^^_{PsSH1|XJpU9J*CDz~vW_yF}
z?HB1zo~2@!Wb!JwExG!e#`)6z@c6^az22`%E;9?#zP2k+EbT_xy2&MVM-4Y;<@`mn
zo!LsVS9TrO?zH4eGp4*(=-TZ$$kkB>&-;qxAErs(_V}9m`l}2{eQej)b5uUHy5}0;
zruJ9tETXXFByikET6_pO88!DtpPl7W!$N1Ix7F%u7{3;0=9aiuA=T{P#;PV(iymJ1
z51+nDIoPC(_h{@d=ezGZi){>>QS8hcIYvf4#be_VJaKA*W*Zb&golpq8o2U`zL&n3
zZI8f5MyFx<HF71?C7SB#qO=!c<HAl<8x5{ejnM9lV*8cgpJ%2pz<egP^k!PAl6ht2
zme<18E)R6|Km4RhHoAN3{MnK&yZz2TuTY;Y+8B67;rccHoOL1HOlNkU{OH_!d6CJ)
znM*2FU$u6um~qkbA7<G3g=K-?k*_}W8-h0lZxL78S1&*JoV(D&nj(YYXf*FqaM$0)
zvlV9E=Kkvxk7gL89JI0SlDpk?|19%LIUXVY5ncD6jntg_q_x28h}+jGu)z`ODh)-U
zMt1zKS$ul9Qba#+z44*q7CJQTed~$;E9LM3J++w=a^h?o;y!QAVCV?FG(38z|Mwf~
zFx$hndsud8oof{O@Xn&uT5DMhl7iNb9M`%FQSqYg+NPztIoi<|@=i#!Z19xZo5#W0
z$1qSG#S*dh&St-df?5-ELybCu(|=T2?cQ8o3Tm?n`VgFSe~#xGhlm#=`(kpNPv?4}
z&Brs2t(Zy0(!Dt-|Cw(3TD38UF&!PHy2g--61SaPOLBSxeCD(tJQD6N+;Qs5FmqdV
z_IE4mRJ!oN-|}8i6R2`>f+!7cA`jSXeBt9s>mxpk*G6@RMF;QBv1tDh9NaTgZu?c?
z>>j6F`B;keinD3@+1jCICUP>1Z<d1IYVw%es%6zznJk?@v=X>Ob=QFF(uR<aLnVv1
z(*|36miy;Zv$fZGpB-R2^i18#sK!Di_|fZuZ655B0=IR_H|AD{9=g2yE^p)}dhUC)
z+R~d>HA3kmdvCSblnZmKSw_Tf$+zfQmg|b}Q`%y7a6vZtBbD@xw)^Ym+`OrScm6!9
zb!Xk;Qt~A4)-RMbxe7+@f`<DOYdqZw_EejFJ2vB|{A+!bj+UU@z_E;&$IQ>VXTB(~
zgc{El*)LqDrFzmJLe5Xhf$w~4`5<>^GOjC2_0qd;&$+|n*I_TY=>y<fQ+2~W{8Stg
zosAxs@&A68mC05|H)@{+-={IIBZZ8Hc?wddfwzj35V5&7KmM?Z+unhWP$}9zmPblW
zw+aQNTKPL_<B}ryg=k%mFFxcq+^itAzmtxCB0_We5N+G>V#SNWYrD7DWm5a{+H$b)
zrYu%*7cSa7n56NJegf)T%jTu-+9>JPTBSU{+E^`T%BDgek3ZA$)0D}@6h#IKKR(Kv
z?-FCR+{u0_qLJ!zyq)$irRAZmGBZm@e+fyQINTt{vd1`Ha*Owh7kg5D#OFtKW)!^!
z!%hmTSF7bt{AbzcQ;}t_KRg%H|62xnggnXAwji0@IA6sJ)u~UkKIzD^h!lQ*BxScd
zz2Jy%2j@+hzA%kEh0M0pgEr-bpCsH90zpJ?%Rk_JqU6`z5@RCbgwG#8_4VVImrpb%
zl6XIaXW%m!pS+&mGjTh)_UpGaoi>?`>wLC`t#P})ZYkEMOgu8CU*yISxeem;`}~s%
zyThHrL$%F=sY<9S)VL^8b=Hfi&^}q$Y;*sY-={BB_xq1$P(92oiEL$`@bKY3^t6|I
zysCdso%zXQ;{{<iX<F}3doaGe$seT$zT$q6`?e09nnSU=zQ(!7qF(N8WItj(T9(mW
zn`wMYZQnLdyW@EVx6VubbKIG<)pmz)>G`x69y9p(0HZ!KO_egkcy?Kp(?pqASXDDn
zoKS!K`lH;WAV-*N$(x=szX|=SNd4kF%UNe^+VZF!u64?dSQPAkW?Zti*_P+gh%c{b
z+{VlUt#N)Ljd1F2qIy*)_j9ggD`!vl1)UvTaz`SY`!7@dc`jAH;g^WdGt+AJ>tk=P
z1{7YKV0;=9)T&H5ZWpj=z^7C4+McXpu50+FhkwZ@)5>3<vz)d6yGd=9ON9Gwx1WfD
zswn%Zon1HO*b|16wLeS^_og{zi+_9NQf|t?mPe~wP8Vht#v|;nykkRzWWVbYq-Ttr
z!ipF4Qlj`Y*o!U?Msma`1*q-1?VUx*xbIYPDr>ltF&ydxFz04wWqtGgaRKo-#ClLu
za|{AlQ5z%ww>!YcqBKS=^-YI)BtG7F>Nv;q$186Riq6f>mLora%xEyqi-q(BdVqnN
z0JvpGeSiF~<1f69{&p?AMRAKOUP<vxIj5$aMkl?VkStpmYfSo<dwUx-4u4*|>@}*t
zWaXLho>hYTO0nk3nQ`61D+62D-*s)ik*=eA_liH}^3Zc`+g8L;Qpd0<wA>`We?vs$
zhy^f3Mn*=YM?F3z0-o|cI9~wbd#Bq>EgxD3<!>wRH?ZM4av(C>>F_$*E%Jcs?6^yh
z_7DC&yh-6&iQpxVLwctmY`Zk&7|XdpSN27{TrU1W&X?mjD>Jv;;XAYC%|R-&D+%j=
z6>Rz$K7P6S*7fQ7dZ$;>t<GDy)_)Ex>NLrqwY>LXoHnpj{*89)ch#Rih90ITbx-~X
z?ksr4&)UYaIqQRTpBt;;t+=o+Kd4_?{T`fqTdP;rnryoE^*)Y(r*yQ=98w{&>^-N0
zT85M_yw@`6ueJH@e6H%*-A8|dBb22CVk+G+g-({x25<l)dqoHJKH7UZrBD_hV~&RD
zx5&IeBShrD5YOZNlkh)xv}nMHm<OyyD~Tc<Aqdn-5nyn^VHLtkcfv3$_b#96g?Nmb
zJ_W(etyDqo_AQ);8_-w4KCm0nK*)S*MS?w%1*fL1JL&;~1^s#p$jX;!NN!<<10(@}
zdKZ2F(h(g2ROAPcTiss_8%Xqn2O%9-nGRN0o;1nX5r=-bc6=T)s@^-3$s3IT+G}Cz
zBogju0nM-Ywxhr#`~w1DgHZ<5tvnR1bkuY8@9%pEApl)TnT!qvZoXUK6@P?|5PTfT
z)Bj9c=_~^<g|Q#E7RL`i6<aeV96-#BXEf-77ChaY>E68_-$VP(P}SD5PFeMhD4!~%
zl{aB&P}NB@U|liZvRpK-!+2(4$LtnPt}Cl%mPuPwGipX>BA;K}+jzt?&`#PlMJeqe
zMfpTsmnmnFv$Npt-K6!xs_Xx~v<9Crl-q#EIU}eMDT)pj$y3jy#Z=$2)U3v3_lx-7
zci<l3pME}YoS%_n(_ycqjir8E!ak3p&aX>3|6KmS?e^@!ttEz034snx#!r$a1B0FH
zehoz=Mi@^X&;3XtHcnTNrf(wr!_oa<*txX=8r-b>H=V2{_@<xr()sRR+teYSL6t<k
zVzLe$yPS%~cV_<D>?zYQJ5~GE1eVO5ohg-FA(moWlm=YvT65I9K5dV$qcu*W+Q90m
zf!-`=_ecN6fn9PPYC36x;pdqy|CHa)R>{V=zUoX$e~{l7Z#nssIxN~7&hreO{I<#P
zi%lRI*K^w6V8^95>xS^26Ex~cDibEz12^6Y+cAy~U+@hF5HLzeOZfR=AIH;2h(7?Y
zRJec;IU5b4cmOO1fS_Hnu^~wFw-9IB>$+d`X^4Kr<;$1-R=r{BCJ}ycEF6?-wkR||
zv`YqyWHlWS7s)3gE(T<fgG{J{BkCVx1Xc|``_$s%J8*s^fZZZEIGiK|uOWd0h!@Cn
zVP#URp8B2E7T^0jMkA9~PHrXsBU8@nsV#kX^>R05>5UwzXa4@$3Y0uR+7Yz-Nap0V
z{0wxKG|G@~5)%%@D*J$KlT-(!6%zkBaz%*dEEBYjJXbkEe*TZTqxRTy@R1NTJ>bm5
zvU9niMPKgcmL#6JenH6BiB2O-e(CSKs<qrgZ{_%HOV)&Ba7LxC_bmUUT-d!LUl37e
zk?%c5yLZ{)hmK6}BQ9YzuD2P2g271&V=_`+{hE&oXSj~~7`N>IvU;;rmIDDvPz>N1
z1-|lWAFFt_mTznMbhz4P6U!aEtISPKObVZW$wxm>sKVWgQp<%Rd~yS&PAGkH*$vT&
zf~we;XL{)yPO+V;XI!`EhujcZqzrL!Es`AO?Mdqyuc<{^cpaTQ;xkPB!A!np%=O9K
z%k7_+FK<b(yP`0=wD>CKR%0^H+pUUFX4vTcddAG*zh{ct>|!2k_%dBSk6?rEG$m*h
z%R9K~X`P%~vweSSP=8}{<ErS_w4k$p6?1KCgyCSPX~#^X&|$hg<?&r1;`WITZuLfn
zzGc@qb;sxC<Ti4<$C$si`E9Y!M)0t4uyLAFo`JS!pX$sd0TqT=6<M-yht$8R_cT6i
zVNlf8V!RmBDGYhN<7XaEvmI=CG5!m3{s9tlOThxS`6i8~a*{NNY3+Ub29R%>a*O`Z
zmla`R4X~2`&gt-NgyriFM8^bI!s>pC1L@nxyd40=Hi|~Wl#6B<klB@YZ2yqcclVwB
zC+yRr&<Sv75zKlw`UA#*!XQ2UE5N6(5L6tQRP|Ie+7D5;6xbq??N@ycO19nbRX}Zn
zG(30saTb49tu_P0S_DCMD<lNp>~lXb+Rfc7SW3h$PGaN%T$0oWz)F-f4i?ZgumeZh
zvb?wbEF25fvtbY)z&N(OtXCZnE=f6sz9Y9*#uaIp^9#cpg<zoOQymd4(#YFFggep+
z;W+0Hu{7lvJ>iGeo5a+UIJ<u)Y33Oad3;eGps#3r2H`+k$zX%C_ul^STt)23;nn3i
zq6xuwzzmhI@r7n|fdAm5e|)}~4fo9kc_22>fL^GKUV)%U44f096xA^ZlVoh;29p_0
zZt6(K?1NZY!QfE7F|FLjqzk))cPj2yjD_%U^iglF{eLx7M4d(AvZel=Gctp*3}WE7
z$q|IGbo%AQEdAW=B=7=gI5?}q%cB~QMFG*p2MGK9OW*YyPZe6MhqX87@g^A2*rl8(
zZs6nG4~&uwFey5zXvBf1lY!flxI^OOH<7<XLNPIOn-76I1Oq0MGPsvOt)2t6h^i?F
zE>Ay1Y^;CKg-B6C?@<6_UgJA*+v*;)JS2$xc3hk?PA8TF=Qm-7<*3n_(G!ZEv;n!n
z&p-HdPRdPs=9xu&wxpBW+sJn4=~$?-!@_u@L4cZ-e4ZGOu;a29wWA@YT+(Dg36mBh
zGP-<yYo8|c)5e+EH#43bFtD$Wpt>)zTsQhFS+L)2qQ0O*SFh47qg0?#43ct))o@$`
zPpsY<n)^2Udh{Lj6ED`(<h)8bvl`65+lO8cl)2oAimTJoK0~XgTSn>JID_RxTFYL4
zZ1Lr&G8+q4s~qk&xl>*#_+96N5XkhkG0bBHor3!d?l|_E)Fw6TdL5&1*8jM3@y(y5
z8<rCz)iqS<6xcR%OYp>eE5Dg#yt#U1$s{;_@px@Vy^cA}PtC#KzE$E|(|dl3GVY|(
zw6Qi&Rh&vt+q~bkt?q;3Xz9?K?ptI1^d@zjHI>(PPb+e(Dh1nLT`pbgQYig_jcIH=
zqP6tOq<Q`8A38g+`AM@P(j$L1->;@ZXCgp!V!e;@yZmhne`yt!IgsVF+vJMsl883r
z-tO)xJsS=qH(jlA`tCEq#tzjNzbIUqp-biIP1VtVVWjOmtDy4!>A?&4{{OUIn?46r
zVJisrB{rYu6%zU$y0i>w;ZsZmAb2^6Q{s$(g=>LZ${UG(1jq(>yN#2Rghvtm6{Jr}
zxw5}+M-U4?L{ubzf&_mP&J|3`Fxa|LBn(?Ya6;l@aSfS^-SZung;I<R8CzIzClE8y
zA7X^W(;^}{BbO~4TSW*{xnbUO73O;IzC@dWxJMF(RE6vUsBYf<xoRq6=qxLj0RIB$
zI04Xd8P50Q;2tMzg(ta<@iv&ux_ay-`BZcC-mVfh1hkZ@x_aJ+i@*NYkdPZN(}6EW
z*e$#etm4*N2^R#@Aul1Ez;{usRS#VmgT~;x9JSk0VwIT6+s-3Kzxv}$*$+!?343i)
zz5SSeDW{z{8ywEHP=b?U*4K6Fe-n7cIv>@8kC)*45Ysi2T+@lFw0~nlrf@)&5+`)c
zt5@U*I&`51@8Kee&%vI&1d%|Y*War|x`|*VRxwKzr>6+(okhB--YI4H)5x%3Q~_3q
z!vg3}-AFj?IRr>fqxL2xI04I@!EA2bv7-^RwWo&Fi&muemD`q|;IKb6z5bm=uT9+k
z|IQdY#Ai3`&B`mSC$za}qIyy;oG-i0HqVDEXs|9<Y#nV>x?;wA`t2WS5;R;?JTf+h
zgr_K$aXxymx?3({hoXV}F7Bo4{hNQP4sOZq+k&}g)urvhsa&cISTp>nV!k)>9NKnS
z{8aQ>-kejpev|w3>{!0>Dnz|BWuWmbpY*9(?@jgaK`O<D8av9hLhovFdE^<+zPDJ+
z^|&>7kgM^kUhsCs*vJo}p`rnaJFM6^f1Y#Ron=Y=%!0|Qu14a4rdF%$?X+2K0}kW5
zi}hX#Y47{v{!Z*KpUIIpKE_*ax~J{^q@s=;_mOp43V(k0UpZH1klCPnymsnxp&tLY
z^s?mK-q@SZEZ)aCyo!m@On>U19%MSP+lG4O*oT3cyJ?&6^c*f{H?y$28Q^l$B$hr(
zOTgD(n%+HLj&@FMchg47lXR22UyjbCN#tBQRN-^`p@rR<{b^qo{)$?52N*jX&3M0d
zJEk^zRXtZ@j`cPq1QjAnd|MiSxE+LKr)C6$N#w~`l{v8k2MF)@?!N3SjHLUC+pBc_
z)(RTIjiDF_9FE3i9Z|?)5YfK@BWE%qCiQSlZv32g9k(pe3xaDVL*{NUo4Nbo%nk&(
zN3Gk*?bPOhNIVK3t`qQ|`Zh;uoEK*+JSAc+en0ZjP2$;xQS0(V*Z!Y>US5-dr~zh?
zTGXT*73Gx-rlRu;F8JYrse+k#Es$ZPKYknu!?Z4_>qrmC;8150U1QCwmK7P;cl^y|
zvyt%ppSTl!D91o?{C8%{)`q_OP^&>#&9Ej)xB;A43-%33f`u?~-PQ)F@&6{Bgqj=F
zWxxG?*~p+bTPcE*+`Wholbc*QckUd5Xfgb>s^bGOYz&=Q{lkpTZcQ@OtYnrDjLZ^z
z^6#--A|FLXuk#_JOqwvt#CRXq*#DaNlKf&7+otKh#0i8=4jh|%_DL$l0pm7{|Fmw@
z#vGR3vE+q?{lVcJb@pK|hnh1#B!;MEC})VJM7d<?QAJuV%gF=}Drhe^6vfGF9S_sk
z>G!BSl25i@S^ubXl9QF~`@)U&my6!C9Fn)WM88X5cFl&ocQ+<}r`(C<QA~Q_fi$bE
z4qGS>y{dNR8H6CbPfm_Av)#j0^2wp-=%r_ZZ`NHt+3#`6#QepspU1ZwUP|@|;@w%Z
zEoDK)oMWitw#T;ft<IXg#`Z@nhfZy1sO#hz4^MtCRh`NE+TfUN;?4wWOTG#=397Q4
z<CpM4>xUyZ6lh2HaG2D4P*B)$sUAP7_pztzu;c`%%me3x1GCTf*)<QxS{9zUZ6k2B
zxKq>Jp5ZM08-J^Up>m~H(qGP+e0Sn;2>AKt)3LNW-ugLx@IMxQ?xyUV9bu_ZmS=ul
z{gcN;N9wEK#_(eYsX`>Bq(5XQa3`I-@L_8lgNBKklt6gbI^NGJ#-5z4cA@lFY?7Zg
zXV65dM8ysd2j&!qw_H$uGdncTnA};95n?GFinpU?Y1q_90$0I)9KM3pmgDp%JHaHe
z8J+;l$=m@oz(y+e8<8tqIDt7y`V?q<wxXst5HPh_i$l}GFSQ2(9Jqs{6BErc#1g(E
zE`GyGfkE!A@bHJ|i>hrdUGkZVgN!%ek)fLf9i%Y&BSp|IY<~WUb7E6*X#1EYnj(Ga
zn;XZ}^6M|?cKn%`ze+mF;MD1NGOLYB<(MB~gwcXqt$#d*N2k96U3OAZO=2C6dlDKB
zIg*ak{V!AXBhK1r+@k*e)WisY3AdfEhGcyVwrQWe8PqcRa$J~ax6Rh8*Gp(iwY<K>
zbU<#39<2ps+i}$VDB>&;X<u#6lXbOnJ=x`FJZIK}m#0fSr~%jkwDtP9ZZNtw4?^|z
z5h#QIrMu_$cfJ#d$0ke*e5^ZldC?OpI2~lMiB5l;afkY=?kV%1wcFM(3<SG5N3#Xy
z(InOTDJ@lfkcv@SC&>OrrQXyy_{+G}T+JeOM5~lm{dwOnH;gmu_0$7W-DegjxKzF8
zkEANWft&H3yODF#P0GF>hqaa)g11yvi4O-G#cCdDy6fc8{@`Tsw;n%JI|D5japtO)
zKuYVMSM`J><O-<Mlm@djH*ARd<{}NpADjmvbqo{f`gsO$Ep0~V*7+xkN!=Uz$Nucj
zZg{hXX{l{>y<WcW#BH(8jN=C~rX)O{jZxHx@OBxd*4g#>iyW%HLaDerxht9H$l*<K
z#(qk%g|V^8Pdo}o*)v`HC|0T}m%^iSq<0=!dFs&f&b~n8@z0!~tfN{O60?~$*us!e
zV*h^aZJ~SUEiNvENc;(--_>?pUGEVK_+_5$T3g2yyG+e{n>3P6dwD;SdFB%NY5gyc
zDziD?%F9#83QJ6wZMvM;-hEA^d%ddU$G9i%bDhJ_Hnxg8Ws81ia6R7pTiMXXSLv1e
z392Hat+`zJ@=9XIOMaYJS`2g%;V2)s3h;gzli+7JeGlU~E1!ROEaFDl*6_P=@rQ#J
zZ{!en?#mO0<9RY06w^g-9h|<NoRP6RxTv#zok_k)Pl-%m@T_<AN&O+`5#9HW?4pK^
z8f6U))_+oxVGEFd_2BdCP2oE+^NSS@KbxYwii&t5!AG(Mzw3z`{JBrXy*5@=CAH}3
zfBNBfT&U#wW?zTQTEXD=mZ#6%f9}w`RC0a5=`MV2F0yxaN=F*lN!_iVc?aF;W<~8&
z_^t?)`0Dn1FCr(=Xd##4eJ`6I?|5ec4AqC!i<A?+{@7R)-u!Lb8=mQ~8vDz|<VT*9
zRMXDY1?6|r<BukP*y)~0pQ!yDdQRUpMNlX>HAS$8j`PHl<J$_mKwT%VM?~PCd**L2
za{c15Yug|!axpj_!71y;7Ua<PdBOA3H`p(S(Xm*e%Tr%lb7Xa~<$-0z<XFzhoSe1l
z>m-(>Z<hUC>e@Eo#A1Cn_NhZ*_iOu#b+;*1YLD9W?v}_t?z_j%FpX6@=i$MV5n7D2
z(k}e0At_lx_fv-6OrLW<ER_@Nz#<iXGv=hZ(SG)*&AIQbKfCM~P@j9~#}%BKW@FZ*
zCmSBk7ei}dr*4;69@=;FT<y`!tP=-|LVD?QdTLUyeBooG9hjjG3LKxYI{)5#*g7if
z(Wl326tx9~g-<Z+&0VeRDh<oY(K9e0^J}Bt@FBzu)nL`+i?MF)ypV+M2RGgxwKb1B
z{HM6lQr97LY^T*@i9Tw@h@$;3?w2gC9)F@=<9IMOXHby#^nvROL#k9>=g)c0iF<QQ
z(~cN9{*-=jHR%@H4c=bYnxVY3(;5dwWhcb!>mSM)X<jc%EQt*({jTpUvO~FZ_uFyB
zhTv@{seVhzuN7bX#OQvx!P)ajPI*paZl+yq?RQ=GbxYf=Z5;0Tyqb31!;AOKVwCqH
zc=OBMneoS<00s#4NmPCoSilqK5jCha!he>cv)zv*&2Z`Of`Bbzy%atHU3KhDNIO&I
zMZ_(QqR;K0FTtY|W^*5YBChKz-@n_!2lc|#{Gs;IqeriLG%CT~@JD-I&FdTd5E|aS
z#-~p=1~Un}Nn5=dan3O0w-YyiNg*UG+~z84`e9njnJauq37WJ}mi@j0iSA@B>I+q;
z{Gy^L^x}ypM4$3;u-k14C%80#49B?nC%H^VOG^ZXoRx>Hu25}ac?nVHm4&ihzrq~q
z_ce1|yr_YiXB6_4kpN~hbF?`o*XKLN3f<8dUqV7YnT){is$$>!b@gx6sxnMp_w5l0
zvqUf$GJ3GA@nb`C^QTN><uIRDm^a{Jn&1$(Zwm2S&u;3c!Ew_L3B1d%hD2)<wv|Bd
zE!e5m7$OHSa-ExWb2z)n)bZLi+?K}ns_8*f!#mg_9_oA(YxwYcIl}ggy-bGE!9nYr
zKIhB#MQ>neqX~D=J^l2SwO~+=O;(Q5VKy77*W>&dV_nbaR5$j9r)04``>NdGnXYs6
zrQ=<Tp&Jelq{3BSdb7kby)GJZ`QaiVYUma1W^@1djjNZre}(ssrX`;f_>*urIAf}X
zpEF+|@`3V~ZJH19MGCbm(I4+3-POp5weZxYg3ewyKi(yai))3bvv1TV8{Vp3zpl}J
z@yW#vN`HR}?Xm10Q0*zWzdroa)@XeucJWlvb<KsX-+9>&UOC{(xg|ectuJl%Y?6-L
z$^4P5Uz1XKove2(?}#5Voa+1hNb=POr82Gli}hbE_jvp`S!7~#?aTDeWk-|gG(T3E
zTqEblZSybJ%*QAFCyA;KNLRhSp=q5&r-=f>*`P50ih%2WIE6I4w>?F1pdmfRhdCAQ
zK&85$%`erwd49iL4v8Zga*LM4ZHaFXXmkIcp?PpD5T`JJTPGCnM0`h2Ls>rd@PXi-
zJ)cCwp0^=;kPKlV*gtTZLBx*AKn~u0ad#JNL^4>1aQ~BK5|xzH0)+lb`Nd3)1TvEt
zt2z~p9Oc?IB&nGU3zcybftH>OQ%MG6V*02w<KcPn%ykaztF7lEWM3nvg%xgJ6!#aR
zt-O$l*{-Xvlg)^@C`kf{A*Yi+)=JyRXoI-tOZ#PtvdmwWCT=iYL5TYplJ;e<RnF@{
zm6*;*#->5*HH;5LNnam!M=}__9JwsNbHW@F9(r72eY$y`a&m$0x6Qk~qJO=P5D6|?
z$pa}`S*p$9*ieb^GCDyYd(i0XZ}goc+Z@HTFvm$U6uTThf<RChUGqP9`|o(H|Mv|X
zwv`aNNEwC89?4!sMn=e%Rhii<tFmR5y-D`EWY3V1O^R$6*_EB7DC0g~eR_X?zx$8-
z-}~{X-n~n%*LXh9=XoCIaU7@i<C!h%sr5HNnG=-&)il^m{<XjaPz!>EL)8Z-zduG%
z;-6^|YS;T~zl^W{{>sAmWaBFM6NSH#(1*nZ`4%9OuG2P!AYDIAfcLlEQr^mltrG`o
z=4qlJWIF1*ckkR7Ug8h7A2`a_q{Y~{{K2Rlmh-88{It_75sl$Ti^iunCI~%=A!u`c
z;(Rnu7c8I0*yExB1n8lQYq1<8QJeP-mDft@D9#Xau4<oBAwkI~n@O@oZ2ISzV#y4c
z>KsfBOl8_#c(jV|cL<n81Wss2OkfxMedL&YUv%5Yc{MObOZz{$@`d1u6yxdVVI~r<
zgq~GNU2-2rHDbQ$G)Gt*u+#4R-qzE$^@<X9C&La`&__Nm3O*xxx;`pa=t3jv(+_f1
z?8M94pU10OI$Rq)xC-n7E|uTv*#0h9Fd_c#j&M+#e3;a2M)StVsiuustD2HDR<pSb
zpPy6jG9;6cUfMZzu>dbAb!a{!v*urKHLibj>Ysz*Mo<BDAy)7J|Hb!Aj?Emzt4oB#
z1e8<+2n5I`8EBH=4jk9w2h9UxAm=@2yq0Dm(1%DyKpg3rMkxT&p<@_G^Q~#_D9TIf
zJ@A*`vnCtAg^H{8(&JoH^%JPa1`swMWXRxH+O00lgLL%}b9G2KwDk3p?|%LTfa+&J
zhgYfw_{;(71tz4RMQ@DT?73m@M$hf{h^BD4FCJWTrG$lrk-vo=Adu`|kgFh5myoLT
ze$(4z=<cbV|2U)lM1YT7Ev*xVORGT44eK%k-!6}6#$Nz>{KcezKHR}iiU8u&`o@*|
zo9D;^-n`E!Z?E!r$@y{So-tU&#{$q)4r5Ym)CyX_lL#Qy4g|14WNc76z+yx60|)~C
zW>l;#^W^YBT;H<CtvPkjkpNJ-@eoVeF%QWMF;aL!O|q0?9)%Dl?X`HGfTXGU$H!X;
zvlG$U!NeD5c$A{2e{O_>0>TY<5e`0{H~k+NJZIpP!v*{rnM=zgDVYw2Z-|Ti#;&`t
zXxCKo+EoW74iqzRQSb9NC{kCPbuY<r;X808Gos?uQMfVt`8Z_z8a2_E{nzD+#1S)p
z{H{MTpN&<jh`N2(hx3{xTSI<a<eYaTX8mhO0Cv5@g?`$7Tj8MJ$=RMxFp;^w=2{5x
z;cQE{M=8;*b`N`@+a2+C=3^c`xN;vZcg)eLJzNri>GKO!Zo>k7C`#Fl+t2j$zr8=_
zCtG41Y?eBIhwMWo+3k{|g77u}{9=x%NJmL8HEQ-IZiY?Ti2RuE#FK8FmGVtLvgI_%
zuSMXw@xE(gQ-9<m9JQKnqDPK<dwuk`wQ|$rqo|%G#C8ol-)~*kKE?FZ8vo~y+IuZ^
zluvjVqpNEhqr5)KyU-i^{|plTLfxjLLj@%B_>H(r+&Z<1gyk*rQpVA#s#WeChC;J#
zb-Yxur;6n}gy{S{I;14IQ!gimnH$kWV9Xk3my;6A_Eo9+AIx+36GcU0_J`a=8<T>A
z!k5tB4jvDcuJ1J%A5c+H$_kYno80Pc{4PM#{F_R6UGLm!!b*mrN*8)MqX`#h4F+Oj
zYNLRZ?D>c?bNsB;iz+qb4((Pic)1Pcp77JzP7D4?59zu0`Zc41X78@k!i!u9=R2#{
zRjVmw;pW7iD*MZC=+*G4`j}k1bmcI`sjfTBV=J)OhNCXBlw&dikEFqYSV7R)jc`Or
z8BJAjNl*#S_A_^V!uRg^2IOG;<(NP6A9dBKZfpk%kdRnaWw&7x1x89HtV5y(zMME(
z(w)=Lq!%S;E24=o%i@xV!1$NWXD#la281p$$v<12DLKDcmLWe@zn=PQn%leSbyUjY
zTe_02bc|xP+B<7hmxod@ImT3`UtWRfdC+2t#U%OEUi$qm<Amq2Iv4}*8a^c+%h==v
zS=_tF8%F)#y&b^H1#XPO>^5>|S~Yy{Uimevaa=UJ^(yJ2CsC65k{B0fPxt7>kQlt8
zs7SMX{^7~SN8G!jWlT=rT)aR%&d<q5Jyz}1!I!8+QF1l_Z`yM=g<7{uKutr(O%7L~
zi|*7=i~c<vvxUcC;uyhNJ*OZ@YJB}tosHR)3w=F)F%|u}q58%5{oR+oJ|EEaw^UG0
zb$8ovP9;!$O2ON|xvM!{E!y!xJo$=MtD+Cb(+~Pj<HIPUpN5Z*Q;-q5tV%eRpRKK<
zVYf7!q)D>OZgeLtC$4S@As4>Y=Q5)+idOcj?&Bxv8+d1NORR5v?Q)&z;?9FD_ech~
zY1uG2q@LjGTF;Ts(G*fp)Yfqm%3`ux4jr-kv8`8AnGs@E<bhUj-m}7B^yhzB`HyRq
z$`A1OO1)mXPONN?MKhA;a!}&LRo;<f5?8RfQ~t@rnLhmvIuH|>s$y!S_qcfc4*$MM
zP;NuBGRg=a8~oWNca_g=HoEMAw<mA7+Z#&QFg6M%jaPpV2M4Zm4H*1Bwx7A+OG0}7
z8gXV@qe7<U$tF=kgo;`FMWK$YhHX=Mo^uMieZBn(;XRyMES+m|`|&HI<)Plm-HU3b
zZn{h?lA$f^FI6?q8@OsA@6{n4Zcu&7CBBzEaWWR2mXkdh<7(IG&TvcjsxG0Trlzy=
z$95{h^pMRu%lPSwEGybB?!5%q_J};^IFSu=HK`s~XZtf_&I^-Z8Z<9N^nm9KeW;Gq
zjf3y3d5dJ+!=rkR%&k5KjkePMi(=Mk>b_t2XhWjqZO<i9qf;>oW6gIwPy-R>X{Iw<
zZ!e8R%ATtHFmwH$M3cE9H@BsQW%ZAvsZKoHh$R<PN1I1e-wyHDCyRY3k1Z7`s_wlp
zmCroJHyi3mGUM{HtjKQkpi3%JtT}o={(2B^GNUe_46pFiZ~?M%6XI(sJNiPh2t>%q
zUB(=X>`3PQbH&I`MEFATIK)U+8`0JzcgQhii#Sm>+sSpDnCXgya>sd`HBW6H`vLh8
zGLrsA4Sj=8F$OtB`*^9e(nWeN1WGD0(8HYqqo_N2qyr@JN{(z7O`bvKtqyI^jGOh2
zt?@P@vSIjd&*HOH_zV$DI@;KlOSgfc@6dK{M==?@lFlpBo#)9KI@ErSe0=56N)BW@
z&Tj~m{&(39O)BfSc3lzFARq`iJoE-E8A*(wCA7sCoeGWKh#aBUfc;{E4ZWRJI#rq5
z32GB5F#{dwx5Xixf=MG31eLs~9$b2QU0f7>K9hN;rVc#{b(tmct&%~EeeYUDJdOIt
zx5`s@7SMWM|D-dB{wgj_D=Vy)MeT2SzRJOn-1WnmUFlxg$+5i{(i1eWt~TeEOpGGN
zMg%TpVah`6T<lRlLd;4dZVKo&4b+YWQ{>dX_PJg~^6X=KeD{eH_x#nbDcgnS6OPMC
z9&H&5Ju7>f_e_F&E-4Y;L2i+08WY48Wbw}u9y%tV(m5E(Jnn@4l);<F!odBPyyggu
z2pF2idju}Jj^Upf6R57n-<~tPRUvV6u;7$oe@+Gio8_INsG!J5QEGOUSR92e9h6pM
zgso%)?-?B3VGVk*1MHv|?-|mHHEr}bA)SC4Px{ad8AnLc_3f5XRu_9Zg$WImvpw;E
z&8aG}sK|U72TSqF-@ik8!<RH(TM36?6>jQ@TzLIx{;OC4aZmV?7#ujb<Wcc&nFu2S
z3#_s@hzB#nC}cM%>pvhhl-25=>hRI=`GI#i+u`iDe!^eDoi+z8j@;ALrADS!m-`)Y
zLsEf159r1UI0Ya>7Me(78fLdlKDCz0GY?ltZF<UP54DIMUN&dreGBiEnldMwAjGV)
zzZ&K~GWs{f5n!35wL-B%%C;A8I1w?9<cWQZvCJ;H9+!4QkB87d!_`@fCMrL-QCCJ`
z=VDP=2u^r>O<l<?v!20_%zD#M?S^kzC5${JOw|gSbb;vk`NMC9TFS7{VTtr~tFvBp
zIpsK|T4c+;^&BA6mVHTm^M)$TZxo;H=&_wkd>uno6`N=eE)@Y9g+*HklYLQZsYp1H
zt#Kz-@JC;{5)I}#h#>@2-Tpv5C@y@N11*N!C<)u-p7)^D1J)mCw~*l+Q1!4wF(o;B
z^76^nLbTuE(s9evpb&F$v7{gjSJqVCD4K*M0-tP^HcOm5#L|?T>}0~>%&dT><}kyv
z1Wer9_DvZsM>ENb#f@Si6Eef7S5LzoimV$W7C)wqvQ{p!WlzynFc)u5TcxvE7QZB@
zI($`|Y-UGOXK9Y5!C>+Wu?=soyWWzxpMO!$rLC@Sd-Ak`Zc%v|Gj%k0W3-o@iJhu_
zX;DOj9c`n&Im|LDdE><$rXtRv#Zm8TLG2Ij24ItisenZD)S41IE=Xy1TMhK?6L+6P
zLhHVE|MdjS#|7Ee0jSizg7ljFmnJG0vdTn|UDR1)JCDK6lwfUb%?tcp44XKmr(v$l
z05nn+O-xMeL|0;{1$fQI-`mkY7EV+(!LA<3+OKC7-N@k}LF9a(mc2}IYJSJd>uYu>
zjQ;@ToA|#SlX*P@M7$5@e17dfPxv9s95wS1Ww200M%@Iq-v@<%{hUY-E5kRG0xtH3
z3yM@xPFKfG2mbR=$W2H`(V?hgt*C+Fykk#Wcl+CREuNXEGd;r<xC4PYLJFAc%Cp}M
zZLiPCj^&i*Va&x`&Pk4alMD}yL)$Lhi3%#^R&(?st-^X<=B|#3<GW@(x6ZH9xObU_
zo6gUXG4&vLfA{;<=DSiCE?754Inow2Mh&d9!pW4wH`{k*{pmn*z>*l6#q@2hFxpHL
zC3r@6M3d|sFU#}KdK&KOUa#Vmyv~Jp(x_Iq==xnjHdo#0b8H*K#3v^(&kjlYp;HYH
zMGX8B9>If2YbJ(iISeod53$z*YZU|tfO15cEq>68aIiclClEMY)Yc6*6*LW5Q&{Ti
z9UR&moDlC5kX3z#4!DEs43zu>P#dX(@*WHz5)u<#;Du?Km}GonPgFq+VqL+9I6gM^
z27E!oa@;MBD_5KrN)A5(u>^s%K1$z)ITwWi*D8O>7Iew2bG^26KTvl%TUvs)*gCA9
zYY~GnNuGui-@)bp%xe${pjjm?P!$UR?FGgkDEY*{ym$zsxozUjkH06kI=?;59s_m`
zVBZV6%`Y%Jd#c>w_$qiTq4AQQU~~nQ5H%T8@GT}=h)X|W2Ykiv;1&?n4q)!}x5sag
z!Avip_s(P75Cb?c1LG5bz4A}|;66sc+5ve;;8iUKs$Ng8=h)383D!syAz>mt_c_Ag
zi?xi{tKTFXjWGem97VJii!8sI<l_8$G*^??<g<%&d_+6#_Z?a32o>ylm0aRztoWmB
z<@R$)P_6Bamck7sW_fP4OdNq=SD$8<-2{A_h*TA`R4X~MI32DxGv!;Zrm39v1D$oM
zGECIbekZhP>UyS3P|_}t;a;^LK{FQjY@W_;Jjd~vf?hPjJbT5byFQ)ytFEK*O}-4t
zdn_f>5Q}iKKGhT{r!HTV2+%uD5=d1A3tunrxj?GWWD}1IuohUMC<EJz9i;X}B;6o7
zJguO)52!?iLpm}V7sS4mz{e_U{;t9tdkPVQSJ#xXZVZmv4rk?ey8u`D_X)z21$%Tl
z;N#tP+Wm6`!@k&h5HDnyi34rav&TEpenYPxJ^)kgelpRSHjv+S0P3v@u<EdN0zxd5
zJ_PEqODE;%__!;qD%b7{50Iv?2v&Ggl`HY>`rhK+W23_v2ZeW4#mZ@3LWJdwN577*
zHZ2^dSZ+`7!~vEr0Dg4fNv8yA#Pk`M5G@pS{kJvp&H=;%n>2jDWGv^~0>E1?^~u)j
zP?!lNU^mVab?xV!EYt1|aLD-p7}SoJ6yi7i!nL0haUX|j_GsL(@`0gn&~kn25ick&
zu`8uuyMeHu5E_=>@opx)=Zp&}Ex$kDv3S7O1)qxgo-c?=JMeiy$BDU6zBaT_L?V)v
zEi!{5%p~+3VJoAPpK*+9R3GIp`bn$vglx@(s0<w=a0+{IPX@1uQ1*I|Qo*x^Ifa=A
zG5k8H%zzwGQaQmF@~2r{Qbk%46kwRIouL;!@vMf1Fd<f}k9V`TO|a+TTf%c<TQko%
z);-aLmKl9^bFs}o8TvRmyM(m;0}};q1jzHKyt<yylG=wpp7F+ebl_Fh+#ukFx&|d;
z1|GI50F@QAa&w}3Sm$h?PUI_FmZub<v^_3L(?9RdT|W~7`&Il`S@C??*orp|>Gqzv
zSXA{NqODG4_KZ$IBRi0g4QgW$(xa)u5kT?pTl9kgeF*;pXs9j#Rv-gtcHs1XhAg!G
zmY5?1UQgyT5nFmLm;z%<%0Y0-m~ny}mSAxKgS>!FcblJ9b#5YM)fM<7!(}Ft@KR5=
z!2!|*Zx(hjjJk6f)77UW4;|^5svCr;t`2Jel&8qYf|1Zx4Ox<<3-D=1U}81U({O~2
z>Z)Ps<Iq1^js;&wxc-FeKVh{MfYmS{CI95Bm5LKSSrW9};9%zRJ1H?SIEO>6?%?Qn
zvntQ`VBj8XrTq_n#~qNoD1il$I52`z!TJcS@fHCFBD@Tk1~Tmr49pNSL}ZyE&>!Ob
z@?&x`7I<#i93)_&P6Js`$I^~7s7w*sBM$5_7)^Aze(%KAbp`~sK%pSo+uK`J%||5W
zz`CIX-zJ0-4u|9|4-b(c{@KrvFtETtEcFNPgsl2U$HtK743cvhfQLIm$jre&=gEG$
zbj`-5Se=VAH_2VK*{#odDEps>J3rm%q2H7SvwSxNGTtumBaVJ>NG#v>`+W{EqDEj>
z=noXWdi6Z>aG4$PHb5Sd>I<=}J}pSc;ojlmdE_wzNnr<s<mOlr0Hi-zN+M(4-MV$4
z&AZ=q#dmo5pvL9!4G84H4W6!b?gKEb(g?WD^BMPsQL@04Ja%|maBr~?3Z#7e07J$R
z+kGdfiDEt41;H%fv7``Zz#t4kQ-MP@mgj@av4$=~&(e;Dj!q{WP#G;B>KveB{?d(T
ziBgfia(3>Hoz2)^cUb7%c{JS<x=1K9%O+5S;i`MHEB*ir^BGyj#>ONE#l%xad$dOt
zv@QOS;xXnLyf?+&6QLC=B1s_^iway4B2cHNr$^EEFcHrCugH81apEB^FP+!TCRLi6
z?^Hw8GO^^jtlk$+=*;Knd=c`SU6_-uekn`j1x}ZT27|KzDZj%jR8gAxO+9kMf-|nJ
z7hD$zw4^y+VL2{5i&J46HsPE3wE1O<8|)?5GiAocvmXhe1|#z^lWa01SoOe7B5Y*A
zfrc*KK$O!jF*xeU9XWdz7WUGAt))D55Ns7u9j!WTees?V&9n7f`sAgaH$hGUo}Z_y
zn2jT<{xEnh!XsG%ZYJU(i1XJTy0I}0dg~7L+py$c9@8Adj+|XsA`H3#jDAnAxwAk?
z_^UlfEbBEmI>B1)0Nx=orZDr<17Nj6#~m^4!zH^U1ST?l0Pf!bmsN1sUx?r?n+Gm}
zvfq#w9HFUTfOPxX9tzCH(8$d52QOTRAav$~kCWPTj1pQ5=&FbvJGkk!lh0}U!tf<n
zW74M3>;wZ!(TuL|V3G3>>rlS~b_*`cv5McptP6=NanK3@WV8{xE=|GkZprHb%mqT4
zQAks&ZlIHckMA=u%8;q^%gFAW$oZ2EgMo86Rxfvz%{X_EAudvYz&->Z62bYap)(1D
zJhAQOU1aJ@{8_I^X=1#9A3B-oj*a0!xN(KgUW5!2K4RogCLA6-231cXuoOruSy@`*
zI=>hHf|x4+1-ZAse-T30BFrJRf~xh&k6&IKQ|T`BBD^i+Jv$hZGKS|9c@F2Q8D4&B
zpgv)=h}l>b8+XruzTH#kbR-!$y%E0l6ZG$vJOhhx^ACWth;;f`qQr9gDlr&WAU`~W
z<^$4|V^Dt`aWgkht9bT!OILRV8E*wK4LNj?J$bn0*=k3%5qUFL3f!a)H=X?CbanX}
zzcRC_r6u^5m6ex&0W#Lgu;QgI7kaR#>9;A&=mv-zU|}Q~g3<&Unux31P)&$0X=n$M
zQX=F=$itB7kFavyLnCn&bo_{i9)dI<VCRmJE)JM#A%1yE_3KD2gLI65)s2R&`la>c
z=*oE$H%c%lcmW-drXvQS!k`?bbyz^XeSHha_0(Y<JJ$Cgw>u0*Y&M_}7J759{O+3u
zXwo1N;dE%nA><N>+8kbBH4Mx1{na#wG+@B%e=0(Mm!(sVqGVxRBICjJ(wrPVbpv0b
z^M`pXp@~+T^&^ualTksI;(0phTv%D$xCk}XP+PSdx6#8qWG1>AT3m*zH#FNnqH_2W
zpH8%ub3pxc@mBWIeQU0Wj}#h}E^RIv_RgqKi;v8XlB0LXr^r+0Y89&Kr5F=UuIaw^
zxgg1xl~(=de8R^#?#XY`_$(~`3&P5ePoCM*q1Q_^f1IjwFlWzMU6q7AOdvDk8ipmi
z#6_md<bSiXF3gC0i{{;jO<<%#lg#h;m+p7rz-r%iK7qh0Tpa#Q4s;%i@U~`iSA}=H
zUceNq!jV>p(3-x#M=}N6*G7M!l3|V(a1vJCG!~I8_jkkd=OGiDJ&aGD18+0~VsA8P
z#{LS%p@s27XchSr#9FdY`Y0TdF)5#8U@t)6*QN?5fR&`?H#DPXJ_L1adEaO{Ox+O#
z0v!+=c(RyAmZ3|A)Uy)S_~<{2G8cLzk)Akx&(x|HXr4rCYimI!ln6$JY`?meTo7;H
z_tGZ_c;oq`4Eatlt|5!*8%!_x^TVx{yR0FwJ&0IaQ}c$h@@XWDzzP0oi*6ToGvBp>
zx)m_9`*ZZQ@skCQFGLk&{2WXnXT3Ifg0Lh0qsr-<xQ{tv`3yfH-5dO~Qf=U8lKCD`
z6Nif+EoXuA1#DRP!K{XX5i9mmADqEEaQcAJuLQ*k?RD>cKCCkgcg#PT0|yo`gHiW|
z#7^{dOr93!OYiT>PzjK<Avq3Q+RGL{NGH`8cTZr#WAFR-pAid;2mLtUCL?;GUXk8K
zK7JnQe6%AJKzLB^k$(qr22cy!2b>35qR^cc``*hE5HkN0>BzvIr3J$75dX*$cuy?D
zbB)94dx^}Bg`N#E_7d@i)!|Zr4i^lsx*2~DF=iTB%}6WQft&pf;agK*UlHy@Y$ZV(
zaRDKJ4<O~U`@?7Qn1!F#iQOk>vT`#Y`~3JHo-HjAFYjsNB|z#-&qHUXjyH0SEnhg#
zPuw;l&nkW>ZZah$EvnR3%vMfD&ZW(jo=5kFAdWV!N&81#QhR}!i<ohWwF+M1fto(v
zA2|;iImGLpI!~gFDQ}!*)gYr@Z`wfh<ZcVde9tX2*bPbzF#DrPe~u7ecW-gWjm@&O
zhw1rZnb~?hcki}_M@)h+4ZxkEqzVhuRXJ}Y3O?2FPe_dBsjAEnQHP^mha|5{Qg7;#
z5icqFuD4W=9scxKdk=vLCLg1q6eNcZoaN&`XV-5SyA3NK=1VxBrmXCn*@wEr6f1(1
zBdy`!%hi!S%3uJD9^~anh~YUy(<(n2xG4$A$q(W8!ZujwV%5*O1tDh~a6&=G@#0O{
z4n?^99oT-55ZSwy7T9bF4Y~3o9HFg^O)vF)Eo7!<kIVjU=E;jszJM+iw07}vbK7b0
zRPO{`l!4j?G*}kUJjOvzHDvk>BIH2E%N#<Dj-*uJeIg{j4ZHfy#6%s8a(cV)&7;J=
z+w7_yguIDp&kAh1OS5=vj)Y}guARlk{pOph&kRQvBYqO1UVEO1+c<T*z!!o^5I=If
zvS+waAyEQ?uQiqTWHM(0<eyg%eFP%t15uJcRKn@-Q}WFRXg8`s(uyRkNONw^dzUO*
z<J5>yc+Zl2uBP`~sn(a>gOBZ$ml@{mYQSg0_vFu<pwlNQF!u?xG?337Hc`J76moeF
zTHapJ{s-HwHX${$$~(UsU@VD-p59H!=#iHMjMznR(CqxO3)XvFIm6Zxm!~*VRSSYR
zN>{T^#mID=dw+Ih)MGg`2n>n0JWhgcN)bG}>yJr9yDUV7i1)ozNGwT+>QW%cB^z<@
zwfFDb91~v~RYyC7c2VD8t|W*kp8saj%0;4VQYbN`ku|ENtCglcGgK^$L&%e#{mS-j
zMMXTh^1y;oG7(0l>8CHLXGhE}R@Ft#XHo2)XqFGp)`m5MPS0G&XK~D-<%$~LN00G)
zDpuO-Jem7qyRE`S*`ujuUw^tTc+uKAA+V0J=XAX5c(tY6wHA8m@Xqngs0pERlq0ol
zSWrR^$CGQ<E`P{(z0o9f_f=6gm!;OcfLJ{`SxSFb^~r4NB_cW;aL~aOB48mp%h)`7
z47FtL?ab?Hb&1Kz$UI*7(|0E@#8UY6c4$fKMqmB6CR^;W8*l@5K!}t9#kqBplZ<Df
zOVshb<L~E*$mu7STe^Sj1P!-KMR^tg@d#=eu%SfG$@(TgSa^T|38mg0qoqeQ!yr7i
z5paal8X>J2x`tGGPIw{p7zh&{j;M)Vg@T!{X`^bhU~gj}<!opNG<Er%J~eM{VdIN$
zgr>c@(8H&zpm0MMRl`7^%SFOPHsa(VMEIo#AwIYM9xF$@iI71*(5F^=AdNT>G2F-M
zE&c5NvVId#gUiTbMC6D-jauDAm}~$-c>n$a`ld?YZvYp15QakzBEwT*=OBs=*mh`G
zD)?w@)NZ%^@l7ZgIU!$1k~hGf7Cf3j<uK%^FPIKh<Mx|hjL3%o4IT0aS1>~>j6Oqv
zhqwSEu4u?6K$_Kv4JVjv7Gws^L0H|47-BpXPD-ripQrY0Oy(60{h9g;%n|2rbIG?b
z=8L2;Pi!+|>;3Nb;=N{UJgi|Uf5lPAw~@1)E=4*k^N?QU9ml?)rWE5$T_jl+#^N#A
zj3ym6<SCvqS@Xf&7r!}*pGM}3SQMhE3D=u&LRW<>l8SuKW4`<`{mLO^@nVv^zpkC4
z#MCfqO;E%5&llzQ&P_X3R+MK5uWp`7yF#dkckx5%^3r<^jhP!fO%cB<o|RueVo4>;
zFPi?fnKb6`lp<$y_58Qtsr3R8%eaR)ugvhB`#B3^($fcknNoiyrWw4b5gHiKAXwfw
zz^F5%-4Eb%1W*kf^tVf4y+}%ZfO838I%H5N4&s1Zgh}J;Ze#(bErR*6QibP9E4|N@
zmi94*S`x^*=1@eaX}$XLA@jp+-|z8k(e8jIJ)ATRbwL0dsCzesSevc}t%MHHou{To
zYIR8FJAhf%F!HmGns`yn5khVc)O?Wtu{XdKrdyoR)zkZ%==ZTE=iyUFw#O!N>kD{p
z&1_Z)c+@iYA~+F*D%_&dQcFmw)e3$h!5+zPmk@g>IAA{&7T@7ZF6p~NKnuQiiHV6{
z8(;GIbN*C+SJ#@E*}D1DN(hv0hy^(!t47jSSZNuI&mdoCM7+D9baoV2YOixRo;&&D
z2YUL#zMn|;fY43=3-WAI&4amOn`^O%$=+lgBEcE?fQ=+<_|*++#7A%^Vw*K1{voWj
zB^XTFhB<Aw$C3v;D455@#LxiAGsqmu`mQ&Y33~54BXlSLUi&~l4m46o?(yoegYXs%
zK^YjO<iC7>evnW%=o<~nlO{DpE|U6k_Jg=}PnY+a3_tC%#}EC}OC5tX@Kl;5q6TE@
z9cGjnIy5wO`4d9Cf+K>mZ+Mi^^>~DdlbiNr&s9*xonTd@;_zfNskKh0>n#3Z=PI9*
z@f7x<tP@UL^S%OJr>IHQ>68MwDVNPO0$pFy`YS;<mfo`@D#fVk?rav67GdagkB$i^
zJ(x#{q}x<%COsnLM+-c(c>|j9j2W-gF|ec+UDnYK7*NWO7M$5)n79cP0GHlVU#D^R
z0tCR?4FM2=dKFz#))-+|_BsT(IAC8ph+u$7$$re{3Jddv+ec;C(K~?2R=KbLx)9f7
z#5Dns$ZCG_cla|ZlHmQla=$^)TX;U2fwj~N&+j$RPmrm}u!>joTYpmnIC51%fsAuc
zbjBGU!Hj{mj^Glo*eih*&enC0?r2TF^=%ao5@`_p5lk3bXRpH`S3twzRVV{w1mGXy
zgx4c|91H4;3Hbe0&{RV@jMO-g)E<5oZJo+(xt>68y|f>Sz&S|FhS6TH;U3d@c8v@T
z`yqf43K1y2he2l7PYxd<!;g6ea;mDRtoQw2H(3^d7}VqY_wO7qO$W9MtF&}$pREM+
zEMB;e8z8kQf;?h*w;S0(sND%tE@UPPs9o48PVvL)L9|)GvwIB;OvD*<Wo4xq*ibJX
zeNO!&<WN}p&6evmUq)J<vUmE~Z;`Gh5_d}<eeV5p<cqM+khX_xHU+qrE6sWSW6`UF
ze;M1rA&3lSVJ!P|0D|*_I1yPng63Xn{)Pv>aw^eS2Hq!snXQlwgZ-o?{42N5A2Ksv
z;=L9{xJ`4%KSdF+6}~$>{tk~38W7ubf`D5bm~UY34Cm0$n<t)k!Fv+<rznMmvwr(>
z@m<=;(?J3RaIugI5R&WeItM`alrK}<2Vfi-<qP`_-V`8!7O<lLd8m8Lz;QZ;o>VF|
zW)8ou?6O(lY9ITQ4{0l%8|l>b3170P(R7-J7`cSUZW~1*0YQZY5j@m^m9$1{x#(Sq
zoD@!bg|1PzH90076FJSx#kTW1v8mhne+*{%<0XBo0z+O=)$2QbubyzCI8&&^<|&kT
zvps$DZSPELv3{h&UA2+6^E^zc7~Gb7{S%dO)|m68gk;pA99E+PAy<-fY$eJ_$rNsB
z9QQrD?|X>?;`vqUnMYJ;*cHP$$dW)*hOk1qPP4y|kzy<aBm~Ltjln^2RdfY8#2|q)
z0~chh&m?ws<^ZsFmvMs!E|3FgYHN2uPZ)wx*@rJnP&TX}oL%5#wSU<~rfegC+mGu=
zAr7p;!=Lr7Fu#x&Vp%ApdOl6m_7~w}-Qi&(bv}UC^#f_c?iqm0JOw|@4DfM{L<n|(
zN+Q@Hm~tbm&xVB%q-dE3WwDdi4-I-+<X!*&<gp!F`M_RAP8}R9b;}D$Pse!Hm!1fF
z9l26Vuw_T~BVbDAO<DbbDLn!lqXGPEf2|rKKFi>@{}#0W#U&-?z|%uU*+IK09RQI;
z;F3Lu(@M+O_#Ld1j{$O(=BbU{P7>7Ts)6jbIHn_zesy0IMm8UVZ5~3U%okkCVhWQ2
zDK;|49Py+dFTZyimK2DwkVB5%W72fh2gwQIRoT*C#SxGN2NkNOR(0$$LI(ozW=2{7
z$Sg?2JrU^@06t?;K7BILdYp(vG9a<Rr4qw;-`do>0p6Nitp|fn`vdomWkLQA<i8~t
zfVl`7tOsBjy8PwKL+Fh`6#LkN7>>eZ0e;K=gdcW8(#Jbzp$U0L2<6Vp!7&eTi7BYw
z;A;ed@{PE<y|MLssPV$5m~kZJsVoyrRXjx$^yJzvkJj+e`6cNkbnZKTzqf4pPnkkJ
zSHAuHQxAh1_cUKlH6(WJU6sPT4W7FDF8G8+r<S^YKmko<dhO!&kLwqc9Za+1Ms;TD
z<dTLdE-Q<XU_SKJ_?n3GR2+S5Y>E#{eL}4>HK$t5I1nK`m87ay=`nlGIxX3&nZBno
zEO=3;lss3AD2=W;Rl*R)%r`Ohr>k^cjaOE0xQ};y?T(t_DW=Zj+LDQFAW}m30-yAU
zji+8x<T#{35dw&QeqEhMy|DB#tWXySLfUulwqT#5m^uS2Z{PdF8nk?0qmq_Bop+1;
zm2TsbyUh=-sn%M)HMM8wxoz)IE5~GGI7oP&b*`3(pss7_QrBZ6DR1XsMMSugFlO9b
zb!+!AWU&Tkh|6;pr+Q?S9Lqnw!i|{)0yX)1n04BDxex8sy}8#9g&i}4uSl!IoUzi_
zFohv=%|io1q46*QPwg3{zb$<F{hVPA7&?n+eh)VuNXO5IQH1gv)clZnV5CtQ_SEKT
zc?<sOk(_%rG~K>0Z|TPi6sx5ck<emfGfA&7ji7BLLH1y2P=twClF{Q)z0nZ$&N}6}
z{PV**DP<lJ@I$>=>`ikSz6axabiU190sPQx8($r@_Vo0(-+FLE=f?--*K7@&!T~A*
z-kEeG67OOD0kA=kWm!5)&m=DxM;eE3a&TV9!Emt9Nav**ZNscE>G~M|rD36U<@`1N
z=Np&aJXR^oUc%AkjQ5sfw>DgUea*sZ|CFQ4#qlvcVVY!*?CIq2HL*M$>RV$<;xwAI
z+2j#9cFWtdBoB!hblsPBe`ZP464r3s3<=%}H@BMJuX-b<axLm2@ikciT?OVH9|H#i
z@;k^SF1ERRRA%3-`}`g%LJz|;kOf%B;`9Z)@}?~Q<=8XR9BW?~)6&9nr_kd|X?efR
zrAeitHA^k4Q^~Qnl$%^Eh{&-==3AZ9cLMw6Bc>CSJF7T%8pP_&uWm*Nrk;yl+VMJt
zx#;n+E!Th7#JN*%^oMIR4M|cC)liL93C(Ppy<~`u$gwne5}m4OgdTpQtW}|{*4ny%
z)Mnj~H)qRi4fUI~KX3@sS0F?bplHyipk-XMB0}d!S{Fz4sXU}6qx$>84ZIDf<1tDJ
z)azF93p{d~WIWs|3J0w_?!4H-v!5dO6q%FM*rVy93*w54-F`OWp6TF+MtB2?ti$aq
zs-!2M%U(pP6O}k4|D4K?=rl^UZt!W&E2~nP*^fel&jxx~Q!(vTOE@W3cr{`iL=lNW
zIcOX@qjFgnshEEJTXGZCSAT>s%hWO0d69Cn;ZgyW5=SZHF<fqr!{o?>H=KG!X2KfP
z<YV#5Cht0Ka%XDEro>*v3otf*FM)$nXkT(v>?e&=A^f!(<f+!5_g-iR!-c`SCMY#(
zL{rNd|6=>6a=sRt`V4kl)Ben$tA;MVF5zq)KhHTMP3P=+>CP%ew`($A-cJY_%(79v
z$~}xfuStqOwt}nJbCrwf2|loWhU)^;!V3<D_Cjhq)#Ba!6;3h9uU~y0VgutsP@t0N
zFGVPz@(*FKM%%A#T#uW0XkxD0G%2SOEUrZr#^fjoyIec#X~oDA&Cym?+%C}J)qL&h
zpadz)`HsnYOTUL?8TKX*YU6R}k`$NRb|3d%btCP9^Nlj{rt<XtVxrR*nVpq;+6lBU
zDx-DETo-A7I}*>fTQ`k49A5D9*$fK~Ou0&@6u5QsA+ZKLVw$uo^31iA9V2AHa?SkD
z;H}FGsj)!68#L-TaK>q%9=!zkiHTe|YKbE9CKSwPz#PMRy6k}jB;qpEpYVd;6wiI5
zzK|B&+K}*~{hV0AhEh&@>L}Y|ipWwqO&!u}>2V%QKOarsl$k&(ebxn9Zf1zQH?vJE
zM3S=Zwe=wF2d+djHJ)}sZtgHi^2QvBT6-<>r$UJd1!fYk+hRt~9+|HEwB(08A&)Bj
zN1X*G!b#LYVWg_!)n(;}f&~U@QlGomHzy-XsR1b~1w(Ovx0t_l)X=hxjg236CuQ`%
zGcC^QQQwRELH*sd{lNaG`<H~=C)&nZ@;*lbIm5MHQe6p&CgC|>X>X24m)Stc$fiHh
zJM7-y%!eXGpo;1VwYH`9rJby7Qw-O2-LAsoJS`d*Y<G#Bg*BJv0GlngllO_V``duQ
z&4ISf0i}}{N-4lJAf0_y_9b44DD37qMRam*5m95()Zfe8k&DRD(9)7MHDxN+!PKTh
zA6Yic%8a(#QBd)sGCbOZBKAs4!jk%@1}oC3i#Z;sFHefgPeMwKPVi+s-dFB>XZ*x+
z+G(+I0P3SfzDy@kTcGUFkFJOhEQy@z)mnmxQYK4}Mbltqcp4d_3xE7kKL;U4W=O~(
zdQRvx5|D=2aO3cY(pWE5JFe)_Oc1Ah5lkH_3mmg6pe(x=v6-^G!l>vmuK8#0#p@9D
zaBLQHEVJVjPg(TGEAuQp`@UgbI@I-;I5&EpY9?*8DOMgu*h4VlGK3<mj#O0jZJ@6x
zc#uOkg+6B#Ca=HXkzC`r^q0;DzibR;*Ut1ZWwn&0?VXupMnzQ&&oW>|Qk&d3$Fd`V
zUFXoF1SHK@y}s9+VBM6Xqpx4M%Ul<^Dn_5V<P>*}YDoC;zElH>npmUtR!9XsF|o6M
zg2S%2f-uv_bor(vtq>ov{gjKA6)$Hs&B!ac2>}gV(Yg%gL=2l{h+$Ll|03KeraEwG
zCXV~Az;Q`RJvuG;DZ|+_*Mhz#Icd<<oa(lZ5FnNM#5n0;mYMuxHqjUNlHbPNeo0;T
zS7Dt7)M^zHRE0whdHAdmA7dcJLb)lhm`dIu|EePAkGARfZ5?<ekW%FuAIU6Hs$^=;
z!=kBS*S1Ld9<zZYPi3}x4HIFydhW9wy;JSEf5R>OVogSMSzM!2uHq}9RQ8^|rVlz!
zq^Ik%0QXopsXl3R6`?{O5k2WOJLGaQ{L8M^@rO3)CGY+mm-tj(T&Nh5zN_+`!_}wN
zyBx!zQ>bdIMV89!UT~UxQfO50VDLMch4sarmHh+vKdL+>FYP@=e3M%ZrhT#|9mVG_
zS<fANb8+2eik*~ISh1_&7AH25uK6SP@6yO={$82wWy7GdVy|nAdSVCroBW%`dp|a)
zy0=A!+@$$fwiS6-o7k!9<a9rxZKtd`ycr{?1bEB1x$)ZGGMP@HH!r=?Tk;lN>Bg1Q
z{DvVLI4&dCeK-<&Ha1rhWr@04fTjJtyk}Eacd1urOwDD7wtwIrb0UeBfp}0{T=lS!
zr=6(UzpI&+f;i97{5p$6Y*>P)N3n-AedEyVJGoH+Hh1Z)vAUks$x&6__SR_LMXu*R
z-+j}_5NHp~U!XmiHhzYeXCI0pFIdX@7$a;pqA_$+pW02gy$~bM6Q9_gSo2Ij`!%VX
z+JkP)1vgSRsbxWBkDDXjsPmc1kGgK5<8|#neJAQtFxS*Q&_?}l5rvJT6%5a!UaE4e
z-I8@Tmn2b6PX7JTaE;|*afwk_&n$U)y-zi<VwR~wy1ksDF6!|EFBcn<>$)9o^z_8c
zNeUn9G;!)N^Ao5UOkf#DLqf=^D9(aT%G1;~r~TDL?6bJ%RI=d|?G_bN<qI-av<7p8
z3dWu0>64A_Y*FUh$1=!KjXak@<RBptJna#&7m)j?@S6Zl?Y3Ge`_qEo@OEGpZ-C8s
zy^=OwWA|&;*UJ}>Xt7OtMZ2-q{C-mA-VV9|zX0C_%j78eH6r4ct_F&51h*$ZgX_7C
zku~OKNNhlXt$ma|+en6TQpuyWLVDGiExZWmt#WY1_S)9jKT7xV77Xu9V)$gZ=6U7c
z6*(j>?_J{HYPGo4b(2QtZR;4b%6iGSMv0*k+U8H{=y;=a%ayc@{|BHm|4QH%xmQV$
z?-&H>&07x*oO5A@G`~F!Son0?Yt$C?NHsWjl4Ea+>kf0dN{K&T6)6~0FP}=9zy<`q
z)zr~z=?-zqRJd|-p3k$L{FnQM*KS+hYR`_2ga7w{a!QeGD+{u%DbLvHnj}6CrXzfx
zDQnC-1O1!zX7Ls|R2{tzb%}N!Y*}`zD?Zt#YicdGAY-A8knJVtvbpnVg20)c%8Dcy
zMM6`sm_NNkL3WrRc*c$BGtDh$3%cXyTNV!(<aEcR=p}<qm*-uD$>JtGo?Bpu1|oo3
z{%`H3g{xNDIP6e(?})y*FK*fsRQ8s$ub%VFoz7C@H8U4dmij6EvZ-^pCQFMSy@?+D
zSzUe@yDh*WBsBfRc-dCu&X`y+uUN4JbDjFz;Y$0^EC+t}<#x?CrPIgwx|fHDlesS`
z3@f8W%_UE}U1Ral&Y%1DGIFMriInXC!gXfBu*>k6Rk5WiD{_Sst#k5;Kli<Mo3$qs
zyVf3i^9b*{<GNmdeI>z&h;HR&S|+R1(fqYadP22b-+D}BWSNjf@@N5%J=G}NAln7b
z#V3yXxSV4_mLXyCdfEF=Ouwd<&hq?Qlh%S@#xV{1bj`Yt0^_KWFs-7rll#Z`g+^l-
z{YfRUs&k&E%*5BPb*Xm<&Z9mHI*lkcYafx{9h55*&9uMGmpP_G)yojR@V-#Q(sY5p
zM56O{t$oDIO}l$<0~9sCJ(i49vS&_w#Y$ro%_v4nm|tte_TSPABv3L;XFsPB)rm0*
z#YUO!S7|;*Icw?@21U^DzH2OODLYQPP-3NVt~{IVu3UKeQ*YL=+qZ`Y?)4{qHH_*b
z&9Ypf^e|p-q9-8@vK?7=S{eKC;fITN-KA(Y!De5j8%!M&kttQU(S<sJEdLIZ;Xufj
zFY`;Gv6nvZ2&)Eft-Mgz6e?`iC8^$06}w=i?RBnF=lO+_2NkT1!9^GH`7{;ZsyJ(A
zKD*QGes!#J?T4)}LsetGemic8zV-*vSlW9}nR%i+#jp0<zSnwQAy!6)MPc~cfkeHB
z;D7IQFcwGI?$%8vEd`T`z*;NLMoKjOaoW3gzQppTde*(PsdW|?=XCt!W+KiBnxlS`
z^tnEW-R@%_$>^gDR^-n+q6qA}Y*6+JK3V#exa(t6kt4IaR=S};hiulSULJ6MzVJE~
z)n7x0)DBx-P5%mmu+OZxapQGXjIk@#VPoU`LuFPig=g(Z&V2oHdto=J)?@t?d&i;O
zLF>NRz<G2jnv+}Mt$KxcW2%-Pr{kd7OVKL~sHs_j7R$S$=TvqNcxV@L8&9P#Di<W{
zKeQ-_UaC6EqYq6>P%g`^PYo<f``l%@EW)#5*W=j`J<zK#Vj)cT-}>UCx@@DiL(zBT
z_=XQhua%@s8P#ImX!5%$XHwRH58*wc3%`EZj<Joit`$Y-QmQFjbvTEu)YNn-=F?GN
z{gB?1;%M$cM|;4ern#?NmwDIs%C7C20b}^iBaXMtX%xE3=cs!{+}`u{<=<<Y@ILS9
zKeUGfywM=bO(|{pk!E6fk=XxgB@C?eG&A8ll@yd+XVO$^<CSBzh)>5W^#?80_&P+v
zVQa9(qvb&|B63v+AJyw->3U$AJR;n*ewR?umqU9(ESEps{puAb$6|AJe)-WVn=c|^
z(;`>&Mu(=>9nYnr8yRD8{wf6E)z>f^+{_bx^l%u!zL>V9$z{pC(MeqU4z?>X&nB>C
zwMJocD_@qQ*q1~Piy|T-)dK4M;mIGg9Qu$)9cr+br;mKE?j04ba*J%(oFCCyQ;nY<
zC693Z7oeU}{7Hq)6VHBbBKAw{>M!lQo2O&Do^;=jT0^0)XefEDlbEfyw3CF6gx*=;
z?~9~Mx3_atJb!6WnL$0r+)A+@&ywId&ZZzXer4K^djr)#)_5R=Y9Re?B2hp#)%fx*
zF2EoETfo-p-&d<^Umxz1W+db+Mh0fDR5Uc6d!4u)WBh~LxKCAp<VmdPZ|@E3gn2rr
z`=K2T5=pV{pYJsL{1JI_?ubwN%MU4H|10&r;1T<ye^tRGhtKCEntDhW-q=c4#6`F<
z`#0G{%0?-7k?b1z)SNxes3oz|*)V*A|0I=4R#u;neZF~}`aE-EdFfHY6=ljOTeR`r
z>uX-<*$Hns#lnkSxjBkL#ur#QFj4WUIbS|!t*qpJ`K;wUTWfuM=~5PWOIW0wB%VZ{
z`2M*!K31NK&V6cpn-6rl*|+az9=S$69?60J(@2P3C6s=ZC&KIN^~mLrD+_cL2zS{k
z>FH@5B?cN;W_Q_p8_Ck|bv>{c@2b!t>vE|uX4B&dj8`#DNXR;m$~u4ElrZRydpnI?
z8NA}jICIYEgmcOYVX0Sb7ljdpu(Rul>cQ!+7a6chrh5OLG6gYts@X_{SqazVVZY(x
z+)bHEmq%(jA<-!-Z~L7Wc4<={QO;b|c&760w}g3U$JbzmJTC6xhYyFVe%)h;xkjlH
z(hFguCSG2Pvbix?gIS*c!ps$IXs-P)?uCtCz5tutz@TqjT3U_EF{{xHMMrPMloH#K
zw#fKSY{MdHmDL_&tB9^fsjr@5na;I(5L09vnzqTl{;rZ&<V}HQon*S~J*Mlkiv8-9
z7)NUI_rAQ7T>pLl8lk?+HiVV=w~Al><f&x6)wc3>w&aqBuDDf26#0SUXScOmmg@S~
z*QPR61%ugpIvT2+l&03h&YsY)EGT@a`{wEPt<D(>s|DVNDWr9;Fh;?aMi#Ueo@$%+
zT}Eng<da;6;&7DDRKGP1EN=;U{YWrkAUIytESQBh<MDjiJ>{PZH@bI3@CRkD3n_jp
zZ6dx<7xnpq>QRzp<rs&GqawYq(*H0Jxe0vU$7DX=e-B+9ik+6{&D8OJ`}wQYCxbua
zOOKzkjIaiO`|rN!y)7ct&Q!0hRRrFsIrN4fI+<si%E$*ZZ*2MFynK%G9c0VAESIxQ
zSzK=UkpI1YqQssRr*1ganmN=pG4ih5#X1AjHb+dY1GhtEh~IyGOmy(c+sx{D{Y0~x
z`>V9bJ-S~;!~eGka#)p!l+TP*RS#EHDft`;Tj^4(3xvmJ-u^rk;KedV5uueMiOv<l
zFyudJ>+Bs^-gVOUu00l;F?{;=xrF*!MVRA3B0A1!=P|Z^dXF}(-6rGq(j526;P<qZ
zcT@bKu-*-}UL7?amj7E8r-omkgYtrHe5C_4St@0jUU<=ut;k;CVy<#Nos>kjg>ymT
zhnvGn1zsff{e^ccJ)TxRYH?5F<z~KDzrrM(Z@C_xFN}Zic=n`dMt}}0f?E__xL?Pn
z;v+R?HnHq^aN(oxDQ;W+3gNoMh6{7s11BW^t@c4>0VTr#P2=ZHMxr{cmvpFkMbC57
zcdWTxG+cS2QB5=`va^yP<1FqTaEyBJn4|B92KCRSDE9FD`;SZ%$47N@N@wJoHuQHa
z>EGu>x@aZIC4HFxtKPL4c*SR4L?r%_KH=%diskZ!LOxCQ|L23nIF$VJsI8}_z8)M*
zF7WG#shW*(dE*mh?a>nW5Xruxu^n#<i8dYlvt0K~yC5~8=gkkkK65!Wl$^GBff3V+
zu(-}xsm0#7*fScx$kqM6?~lUJsJn(KIXv6^z_^_%=fq~H6}O^BL{1mJwI_8#e~1rN
z+!gxs`d@l08+Pdy9=cR!_fMb1Lmv0?=7`tUlo4gQ_1rcMBk@zt1DyD}LFLD4-G18^
zIcZ%JJI2>*)U!G2og^eXT~wy1*51A7+ODqoc+(TZf9^Ei1x*ph(-kfyvfJcG=|^e4
z4Tnw&4S4?K0py1dj{In6EroFP2g+*x3#_smkwFDSeL#19kFb^Bzh?t&7t#lC_L|t^
zrSDk))?#j69szLw!7bL{wX5ZsTCWL+<XT=w?iP{a`1GN_>*q`dMnl7RO@1G#vntA1
z2%>W>Bq*au2o4O!dsHPVO&+g3&*4B>uI!AM`>JevT(G#Pi~7?)MWy*|?S`4V)BUtP
zURO2PeBVk~{JJ9XotDd%wsW-g*lm|;o2$N4W6X4UKN9`7PR#Dnqj2NCe|Lp$vwFSb
zEMlt&oF)qx^8}q0)8w96zmp>=pr9d~DP+(!PzQlPsVv3llp3-fu>6~BUW~(0w6E6g
zRLk#+dgk-&dS}XTmOY5ndYm7fnl#1x`4cx<wLE>N$Bl_yj>*=N%DId7qv`29y%?n$
zW9PTq-?i7S<nvTNuWrm#C}U4n;(A-ceQyOjRL?t3{(l$gM32(8M_PbjGypw5MO`{G
z34|*OjCgbCfq@Z|Lz6i?UWAMe+|g}>29ASFvMVYIL&Rm!bae{-qJpLZxxtSQVBc|}
ztSCTNKa_!FVQcK!Xm_MoAIi#ISkHuFaGThP&+B1Z-DSyh?{qpoe0srf{q9NBW{Q_8
z!`Pm?MFVru=f|o8JxQh8T6xbqzpT&LPgJqs>iY{eW%j+R6`VqS>P)wrv#<`${?WfV
zmb3X^AYk(NlGS?|RP5l6@8(R<w!Vk=4FpqL-%^0Sss-l;EQk>-bZ%(HoG$}ib6EX@
zJJ?so07;?6{p*mav`N>`nhpD!S3ED|@wzPUk4=~>=2}n9l}au3Jv}}zbMyM7M@Q??
z73;|s{6@wsqe8*elw{?CiBRdG<c(Lk&Km@YiRCZ|$cR^DwjkE%p<v^H_2cCqZ7%em
z?Nd75_6Lu$uT9-))l9-gfX=^%fs7c3fD#Z6x}AJ?=@`A{aS>t!s1A@h*f`Mgkd!Kb
zZnb|-P7WLPSwzIgUz@#PI`Iy^I{oiMo(e=qb{Pi2Q4+6`^H_>jL18l1T8`+nOw(};
zHs7={QuIL~)LQ><8>J#l`t&p*f!s5wqbQ#_TxNejk(zp>k&qM~ZG-9VW4PVD{eAb~
z^M^-I2C=Ho)LG_9Vm9Afsn%cp(YHRr?C{??#^jOrPt%1`m|EF{S<L^D>Qpl%s53t(
z!c<c*Q!D^BnzCNs@jPgy-@UVUwNwAp;=|dnWf<Yu9RA`NpX?Qm%ikA>#iDkP)FVr#
zH`v5JDox;fz1bYz!@;aEU)d&5!DfVFwVyk%7nk{Fe*b=687(3@qU&&56BWfPo@5>o
zW%_8)m5Z60;M|S6oAm<bW2AjZi}&yI9mf3A3T--`DfL+WNa%ltui@`c@S+59TtE&7
z(qUZvQ?F}mOxgzi{V+mH*=Y`ZXJM4%+?CC_dqS<P3rQIYn{y}XnC8G`jBZ1d=bY0Q
z=cY5(`T{S1|1K{oKDY$pKas>%Nbsax9|G4=S*sXebUG8K7S>0%4q2BU?Ve%_Lcbz7
z%^k2gNf3YIkk79=L;ru5$n<nFQI9MJ?DRn-QlZ}?q@D@{f(PHcq=1fM7W&5>rqTk=
z3`C6#@-S#T((v4A1IElz?)0p&Q0t}bSo|>G@2B@3ehDngJ&*F1p8c$-g$jnsY~S0Y
zxcI=|*-Jco-V9SBjZVZ6p-8Vi1CYFzl)moX``4vVENmWb4&_{2kWX2Y7e38>L!lv1
z%g?6z1!9cxcUw(n04bci4KW2mLM|u=5o+1%&uMlD3mn3)`Zglux$Cp1o5e(nuy$R5
z$%7bk?ZQ>M0F7t}ct_n)3|NWtmBiloQJo~A#ePmSiJqSzjk~65zxwg$F}cZytO{pT
zR~NutXWQq$JY7#VEePy9mtM?q;#p1oaIfhQFqjbLdz7y~8I$+~|9A&9gT%~l$MxIh
z(^l0l{$G#s@71zrdcOr)3h>i^tc^WGXfGg4ZRooW6jXLv(gMHZ*==7%G}Qv8q%5bb
zEDF57UV?xCL<NS82T$IqqxnlP6(I1JV}I?!(yo86LszeEPC)tMfwv_J^+Hx{)0;=3
zqblbs=EmO+Pr3s}EwlMLpm^vM(l{H7svJi`Bpv&>mao%=p`EhHQ?38M1(|~?R2J5#
zEY;wU2m9~#`xR4X>hRDo@pHW+`u<pG1&d|{Pt6Q{gk$3c{Xa+2gk3`G25){dErzSm
zvj<}uT$;|TPVb2h8a}fyqLZcbayohf>+0_80B44JET<?e`=184T7A#J+gqIX90CN0
z`+pHlr~K^LdKad=XT~u2T(t1O0d$w3*XK3U_4P5EqbC#VW_PW%GeH*ARqwZ4ME;lH
zP3X72Uo3qVyPxqd#D*n73f?q)aZaWyiH~)E&F+qSZHlmP!?b4`2QRDL2JQ3hh|w*l
z0)yLJ)SdiQhEihR<v1m~nw`E>R(Y`E%sy;<s1+K|uai4AjYh7J<pLVnsgp)jm!~4f
z9|u_mcieHmF-m%A;q|VP!}QZd4^aYTk~2oH7)sk+=vy$qBMw$}UFbu>oG4c!nt32&
zY+4QJHN?c=gd>;uGl@XSV@bv<XayZlFy|Gd^N28_N9}&+DU^v*N>p{`nR-U0{*IOA
zrY#dQE7Ii8iwzz<l+J{`9uIC&>ccZ@a=YC8@8L1y#?6Xpe7Zl?hi<<h80J^|w6j0a
znvjq-IM^aXoCXNQrQ>CvY1Bg=dCoTR6dS&U{B+;MSHjZW%)Y)7iIvlX$ffy9Xxwc@
zGAEaBG0dgJr^i;_O54-+?XA-l%<1UI&s1b*>nV%POb^-tN}d@n`SRWPS3NVm=S3GR
zeVnfe>J46gA>~$X^lv}P4}3Ig!ZrIKUP)_smodWhK0DQ&Y>M!)lB?@$<g3LZfam&i
z%Q$&DF&CfO#NR9qAEQtuvcyFG_x_G#1(e8{4Lw92JM!6D;qbB(OH#Fyhlcw$<4DF@
zZ+;d|hnSGMrK*a}lgq+4$~Ee9dl0u0ms9#LpfdeD3y8S9P;2HZ!5%13vm0j{p1Acq
zymRke1j*Xn<MUPy4tAoI2Jj@h-RR_^*hAOu2ty(Z|HCr%AAZI3laBLaBOS3>Y<)MY
zf9(d(hSJj^>^9Wh9DL^kC|R66S7)Zx>}jCby)U4Y#C_{8^5wBA<9&o2oSgw`c<3e<
z{^s^77D`#cIab}f<o?_2((SW_q8|KSy;lf%Aa-r^wtxH03%?1&e}*iI`;UTF?$E>@
z?1u9mQ$1YQ(@Gb~wtA5LWts8&EnH;3U?uMSdr|W-7tx`o6h^+Cy&&5?f1?wkMy=%;
zJ$JHVUL*2@eE<KiJUEp0P0^`06%_C&$F_Soc)Li5D%S!_XNCR+P>MzW{CW@k&f|Q`
z2j(d1>>`rKnpZ!69{l?Hwe?gLy6oSZIaMhbcf&PI`3j-2MwqVAvzJ(nAbFD7|0^~m
z*)O0&FT<*9=<ok{3-^}ue=zUUNnv;+IYO=X@c!@lb~46siv0J+o?7psWtjgL&EaW?
z+{XL6=l*`~|9}7L$GBr#z<U>Z9NBCQ?)tws@C38t-n8Rxj4W?6Pqa)G9mp$jKp2vp
zXoOsI*c)9F6E!_OJv-6A9U@}fuGn%tkG?vG{(%9IM}dFn^q>thiUb+n*>d#L2xKir
zP2$8-tL1N4j%xouwViud%xN3P^X76`Wi4$)2SV*SRE|wYmQd?0hoqQN5$Q0KO3`sz
zS*%hRsy9>FRiQ}dDVdU%cBER04ntum(Uf$qoxI<B!d~xnz5lL%n<l^C^Ly^+exBd`
z`P_$+OZuXE>YC1sGzOJAokkPitxP6BO@9x4+1b$eF~ZpmiZ(XXirhngPb_}>wPN?K
z(<6;Wj~s(G40&{#b0li`uFGj#*|L{HLF=1Vd|n%;{8q^wjXSctD|=b=`%|_)Djx4i
z{Q3UYlfU}kZ^8elKe?JdoW)NzPyamha~h5RJ|CE4c0rrU4L<!aH(=_Qql5qRBZEJv
zs+y>@_I6KHG8Vi|OP_GOtjKuZoud<Rb6%}<uf3w|?)|PYcEm^ZIF**2Jv;T*E?qGC
zuBZZAT>J7#9*Dbpkt%CJ3j=ml<^0tJ&D){a^4!;5dAica+so^K-RIBJKE+41c1KSE
zlx}WCQev(7P8H1Z;yznr^;SS)^C8Uu6-xDENTisVudf3}Xxa_R8%3Su)-dvK*Xj4F
zsCJ}Bvp#VwA`xmP6*NqFgta@B{tK0#!bd3^p^~}7j#dM)fDE`zgvzYw7Ow*fMRg-o
zdIL;&!(m`YJFty{zcdm(Jq{Z;Emibd2f5|F<(8yY1HN|;*l8(h^sZjJ_Vl$k%R9KV
zxYw4c=7{DR?4|1$ELc$R^5nudPYahpfZU@KEkI}83#y0EaEZS;ompMnSJzwTSdE6i
zr4_m*4^V)-DImbWHNkKDr2JdGMBcVQcF{t5IRL%n1w>-$#4pc#+^S1s*B&-^@=V~C
z=dA7Q-q^*QZ|VaaWEci8>wbdzA=J_u!Y1zald`&9UrLFm$p2(SM8bIW!?Oj~Gcu|G
zOIOiF@ALBYXuRo{F3%v3M2%?8uczf1s7q|JiuOnsdpHiIFOI&!n$NYkeDUIK>auXC
zuo*QDZ^)~+xaNv{ePWL-gb;gX93yl8Wj-n`9*p4uUAQtozQKL#)pOQ6cfKX-LXe+5
zGh}2c#nvc`al#+woiTszQ@HtYCx^A`#`G}syE^bil0pnWGCNB@Kfj#(-qo49(ma33
zPB>9jOoI;xGLh7vPx~u0lXh<!$Ipgbl70cDkH45{#-$43wOEHjgbiwbwK~zPh%Xl*
zK&9d~TU+0Ty|EJiW@4G)7n*F;u19sUAXO&izQ3KVE$u~}@|hn~;v+%Y1fo+``P$In
z5KI6_`zG4h7+?>L{QU*YnS04#W0Jqvltc9gyUX#yWQq#hF4*cBzrQU%k89!X;ZX>;
zrX2Ps^=;ljV|GKgN}5<A@qqm$k%FTlduLkP_1(DB-tJ~wwrt@_Kt2~G?DNUAR{EJl
z4WL@5Oc;w~owgCwgM!E7C8*b7&J_39GSwYLLtw}6qbL~>Myk_a^!&)A0X#faD8ws7
z?`0XLxo)~c?V9Vx2ih$-sJ;iuj;xxUEm$0R1I=ROP@bqnz)v?M5NEmEGVt+cmX?+D
z2z;7IOA!C%AlFDuP!@aK3PBfm0K2is&Z9ufzU&?Zftw115R++z@NE4PQkJT?@=CEY
zu0r*406xD1#Bg^@rAJ}J)9Co3lF2KA8Xcp=?@>Z|7VN3%z;k)i!B^9e#8&_{Ev}HW
z$2=NtbUYq!BDtYK<Tg~CIv_-zO2m$Sk8Nm5f}P_{(!F&W_50o6owI@Qx7<wL_xP#Q
z?@B|>NH%L$7?qP!ABx&78;Ey7Au{GjQ=3@Bee}Wxyp_tmc~978Og`GRJxlGO4P0!+
z`4JSxR=T*jT>S1Ug7ZOqz2f;+HHdwcm6Q(9<|8Lb>X{^ZwlhAb1og~o>oOcZ$!<7-
z!&CzV+j;=l#eR`r?m1imP?a!iD}$dK8+Ri9*Yx{A!U}^$YK~W*8FPl?@FPc7K(O?E
zXIGR_$8+#udr?_C<5-q$YlN95;vEGo3~>L|%IjARhCRR$@IXaEov~7=`TfF$;+yX>
z#Mlmfd?@j9!+q^;t#$>mNNtKJ)V2)+9r^<Y6NLaQ`v!R9ySrm4^oObn@@CDR*%bM$
zl2ZHQC8xe0BB~7SQ-E}}cV*4eXD5RkhbBc}*!t6N2E*wz!thuI^|kkmuLmfO<~#*M
zZ__#3ikKCNeYSfXj<a$+w%J&6jEb}y?+;)-aIX-jpAj=aWuB6i)P~QMgDCc2j92Bh
zmjrD$K&O0FrWa=tv=Ydsywl)^*XShi6Ied!6@PvV?i+moxCG&kW1va7i#|;7OpC<b
zYVDr}@XXGfHP`BcDB^Tu<{DuCb%+Y}%ir}HQc&TBAUL#9Q**p4u?h(hEJHu=R>Te;
zw8(o0&1;2<o>N#2s@1jCqme7-UJ*!i@l2o&v<}RM|Go!tFQ_$3Ros$2JO~|)vh1#<
zTxk9civG9oP*A*%$=Ux<(-r^us$>hUYMCAn5~P%VZr5Wc$Ds=E#*P8^<?xP-KR~Tg
zo`vAH9;E*gPT_EBQ@$h5{k$(+nnpkluI3=jxniBP0!_yQESP&RhgsRw6Dwv^!93x6
z8G?U|y)SRmDrqfXsME{#|9LUS(<i;KuhApn(W9-cC=>T99&DNAidKbI&d$GDTU&FR
zHYAqF@_~gYd-=mYxa+PJo1G!{DddGphYWDM*38zp4Uj8d%!rzHYJCEp)4Sh)_uT=7
zvIF2&d8pHVgayv?MGQZRZjGDW$zD|Rhg)yk_6l%#E68_$7_OU+TxXl0fzClIgV##h
z`ucUqoT{?Q)!&hK*s||TSFb?!+ahs=w`wa;_d^85l?~G<$Wg3P!%at14#wJJ3f}M%
zsPRP-90*nxq9&c^q*s4rG20=i1|fryW%q#e1TO#?FiexG4M4voKt!$V&U*Kw7PpEV
zyq7aG|D?Z<XFg&6#+c;|Uv9zH@GnX26xJ@$j{BdBf)K&A|M?vDMEDbg^9LBFXN{Hn
zy=`o4l$4dT5uu*2PmX3|#}y`?#wJsEbmBDBt*qOkrw|T`8(k<%msJ~wvv4aVBqDCU
z#{|CuAm+Zmh%b;lczHJ>08h~%xEa9)i4^?csZ=*CS#HPsq3=j&2FYTXuLvLv<@|xs
z>KvqQk&q@w_ery$St^9Q3H=y+B6yo*iRX#@)yUvagdnp6x3Yj5K){tS8P(jf(tfah
zaj6Y1%|sI5&i6=g^g;NBWqzJlb7+y&zXc)eH3BBu0CsL+Rx`v3$Q!A@P<~M-4t8}3
zdcYIf#)27_5*zU9Azuew+Uwxou$Ow8)z;SL`dg3Yr;K^#s5gNjk*$wv=yNeKOGk_4
zl`%6*iR*zEMdZ@FdiHA4wrt<LIjp(UE8DUrSJEf?rXqU)HT-!F?={bu>tW)fZI}>L
zHu6PKf?vy(=@ksTjNp4rzm1z)hUS=UBEDCk2&=~3urczubl^i;Ry=dK%(?;vJ?#x#
zw3cEBI*EeC)gUCSH|$R7y5$(s`z?rXkcekNyFu2yj-hI$A&Lv|0a}BJVg_#u`Lk2q
ze99E{f$VLh!6Ws=%6_b)Kq9G`T1Q76PAp`Jt2|}o?Y8(%@rk)n&(GWLa?AInFf=y&
z2Y@$kv_v-wTV|48dStMg^8t&R51bTw7_RLZ_7iV|w!mA7`LdL*{AigoAQ8?Aq57D^
zD8QE;s^_z6ibI0PJ5f9`<iReItR!jz4XNhK!58s6$g3Ka708Sg)Q#iJ=iR~DgMMw!
zFYf$&3jha#W(3%-RAC|V;I+tE>F<zqj9PjiLDtgNJ`PLwd*Y;%r0uSv$Et(EO`&(t
z11^(eXfyhRt+b*iOqyYPW0#DU%SRskO-XZ7u?aG);lBpZc40%!a+tenMATpoO;8Tw
z@(o@bo%W_NZy{I9@+COdO|Fhayx`<82E7}!LY{8a6&w{ac+l&$v3@Z-f)h7V63Hnx
zXhX55VKDUO68MB=Xeu-ZHmn_nt6%mHV_@4N<8l0HuQQzhs8QJhA&yHt>-A_UA#@=N
z2|>>w;u38Q-ZbQBLpW^!+<V^4Q$DbY5bZ>1B)$VAt1~xre_e(eE}^+K^iySB@Fp+G
zIJ_n|i4uF-I`zWf?u0qmmek$d-9Om1Cu;_qUnDdr9(ubF^cehSmVK7<rec9f;lPVl
zQHb0%py%NR1T|yCJ4`Kuu@IJ+g7N(|Gc!|o?gI6cz&*e@|H>&5cg?l9fNwal68ljI
zek^t|ZLD&&L#p|#9P}x}tPMNXwlr-h<kn5RTq&Duv`Cth>W06U1&l~5y0bU%m-Uy5
zJi|wW((Y>69Bjq{7Kt@bzab_mX%k*E^;L*lTU)VcKr2^ZuXE8kEi%=OpvnF5Ph37~
zDEpWoY!LMsfbGZ(G&)9Rf~2v-E&C%d&crJ9F$1luJ_@mHqD|=n2<J7YOhD@Vb*5A4
z5vh;KG3Vujh2DEFviPhb!_AhKiV%qmrzp}4A?f1i9HIWo5HGw${^OPJyL=xz7!P^d
zM-2>=UCdpqxePor{(+ver##1Pd+{IFL}zq=L<qYi96<tlZ<g14L`xF^3%D6Q?j%!b
zW1%Yz`$GZRPFG~dd%lC>qS|zL(HZl33G0?}MuNB5q_|cm4j+`P%7wxS{{3VPDVcg`
z_Fnx#^XR}gU<k1fAkjC;&WOW@b6+p8XTJ_&?LH$fNV4U}DeT|M#e7k>hhN^_M>wCd
z6!J#notTV50;`%X>>@oA=i{&jy(z;}7r-5cQ)(G-6%2WBAQOW0L5P?F5NUQmM9&#0
z(}11FnJXrq5T6$!dAgdGrU_#o04y9p7l5SPk?k@O+1zK6(mOD)vKR%BG<3uxu6pY|
z8i=MS(wbQBig$_0$;n5d^ddl#ptiZu#&_Uo&A-r+UE%<SjKa1h^~az@?<fF4K7~tc
zpQs<Fp?`b5O9`EU!;lFuDu2?e2XRZnYpjeE9X^_tcDSw@RzV`AjAug!TRWtkH!W69
zyp6DDQJrW)(-sMd69x!+FzSy4{STuhZVv-)Ed#vJ41h~3w5PWkUy0+Fj-|}?qeGF^
zI-1?%TH3GMEn1K73cz-XF!Io#r^tS~uun>au&a|_?l~FaltqNo6=DMgE9K~Ls!pAU
zjKO>Jhd{x<p_fccOOy7+30=<8rUC|t4*Er`;skT@I3t7CpDD>6f;p2_&f+;3ojr6Q
xwp8Y~mHq5t%ijf*a1rB-;`8Sw`~yFda)$1$sgL?r_qiPYS*)`%%UI)d<iDbkTA%;`

literal 0
HcmV?d00001

diff --git a/_images/cb636783f02f8ffa9a8f1612f9096926def4347c7058384ec9cfeb9b05c4f385.png b/_images/cb636783f02f8ffa9a8f1612f9096926def4347c7058384ec9cfeb9b05c4f385.png
deleted file mode 100644
index 5360b7b0c92d1572c945f9bdfdc4657fe432be85..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 8771
zcmch62UL@3yKU5QKpkWpngxgo;vfRj1t|kkL=fpnS3{8+q=gQHSSdk@bm9ooiwa0D
zHljd4AP|rel@cHnfe<=5Px$XYXYRUl?wvXJ|Bq|2B=GW;=iSfV``Pb(eLXF<y@&TA
z5C}Hy3+jdl#Li;~#EuNs@8KtJm$NwGKY4GBE8a$E2XD+ZPkY3rYu+BNXm3}i>qmX<
zJ-wXJ?owiB#iUOkz2WWc;iVuh?)LivF|?<nIP!#m4_suA#|3jQ1cLn<^J_<*O0E+E
zaqOA4x~j2X`pi(MKGEkZex9`V#aDLIPEKJ~Lmi{8kjZO9(J{Jj^Lq%^DI<r>Q3l42
zXN3lzdirSikM$jLRB<;%=akoIyDgZpUA6e_wwgn#idg7l{s4?nVRqr`^>r<Lh_&kO
zjnimu95$uHsus5#GCUVt>v#FujwFd@Rs`a4O2zYfcsLKI<7x;*7?(Qy>{&SL4g|vV
zM<_$n-s9gP5LZ+qV2Q}R9}$SF8dWp9(~EO*G+FlZ>gVcZjCxkPinAaP(qR&sT3CJ)
zSJ$FX<xYK+vldnnyk|Xrxq0*E%Otp5>f^dPD>JK`8n>EXR<TYJ^W(E|nd-*I31dBQ
z-#gy|>K{Z#E;1N?=gX^D^EZFeH8$ovuoLmiJ*PHHVL#NV|HotPhP8;IqkrukU@=iZ
zCF{(D*IUj+dEerQX?u#2t$ttY^Xk;@l)!TFz~cJb2-g4O-T&@Q{`wPXWC_?2Qe_S+
z1(aV$p~gI`%k4hIdBqUkzmIJl>zeK_6Tf~RHcQ6YJHpt+#OZU>uPq%NDsxruB6(bf
zYJ46<N4qV2MIe5mat-&fWIuf>EGjxvhoaAsOYz81t3uP_uJ;cG((2A45FZ0%6x77B
zVFO3-SW<$p5wS6pu`gzMHE3ZqXluZxlr(u_2O^C7{k&XG!^+plz3l8Hj?0RjkLUgU
z{TKWcw*<t*+F?mj!r<WGW9!<-&q(q@OJ|kM&fr+W9=+;h?SFRdmW}@y7XhbYE0$EK
ziv956gMq#MQ^wEY;uueDc#GSf(rUdW)`jQq?iW^8w)yhq3-czKN`cb;3w9?21&Qki
zD+h}6^76uVArR#uF%2i}Hdf{@YHRPQ5|@!NVLo@n9**>MXxWG=O|AFOQTTE%iXLOe
zy4E+ps7SZ7v-1HKYep)u-ql>`Hef0tAyG4)>LM0W0XOft;T@5XkZ@z=+n22Yb93{!
zY#PlQo|XLkHoSIkapwU^*S<4{P=^&mmS=~eGXPdrJ6DDz{;U`NMR*Xq;X)1}D3DuG
znljWN#PnZB@m~knfAOf&3TnMY=2@LtS|YNtreaAtI*(4z<Ied^CFJO36l7-$`b>OO
zeg6D;&0NE}_vfY^CrLjb5Ej2`YF#ifN&J34Z{Ehnh5{vIV_wT`u*#r2=Tdib^pT}k
zEXW%JFWqWJV$SiJpGF{VD7`+i9#&p1{q*V6p1}5z`HA?;%6qEjddzHlKEJwEftj;;
zhsVpgB{KKN$vZ;Y6!2mtmZX50wVLzCb)3X?P#R~J0&dj{0)TgZw-lX!QZM}@G2ckW
zclwHkhDOghA#w4`{8)VG+jsAFdujg?Syq8o8PH)(O~Oa*UE|%;-x{vW684$ZA|hSE
z=i>697dA>F^&Dna9zQlZn)l*GS7<^~5{nBHoxAt6B%z#l*>z+pojQG5k>aQ-_+iGk
zb;g$kb%^<EFGV%@Ek1_t)TvX3fU%5BfJphy=$Kd(KE{dCp0PDh>pNp;Zl3ZaE32o>
z@$%-lTw^D*ES*}&{F)jIE-tRP?1_mR8tUq2D?Jg2AG;3o9XoO2#9`&2Du%DA=_5g5
zB_-?X>gu&`Z`e<0-};_yub-8H!NWUjM|x?AI}u@~PyY$hcK@v)3Q)82d@brPvG;!g
zgFmPG-xuHI;-q^{TS#cw^DM1wM5#G)cfEF<8R($@gb<127VNhP&)U|8-~ZsR2+4nA
zF|=-xd6{OG7S<GG1_1KtwE0gS!w0h_yK@U2J2D?cMHyeb_`r9%?+Y<t2jUlz&I#81
zf`YE5Uw0+qaJF-+DN>G8;-RaNHi0uT#kP$$d<x$B&dvpT>1S_tM(#!+inaVu$k<1Z
za>~og13C_&qyy=$N}IIqn#J~WC$vKu>*Ss+Ep}1!7wXHyfphPQxnbuIGx-T{P>`3W
z4>xBhWARzX&fm$as_OfY50re*h32T%p8Mp9S{xCcJZwFXHt|ITBm1AQ&anCkdgQmF
zP>imPO{OA0mT@mKvaDY4bND}sD+BONU0OXUdciP6^I91JBSE(>t&l{!geb|5R=dp%
zlpZn-zv>~acK!NwL2VXx{vWCs&{kVsj;()2y+3hqaB*;Cg@^BC1lyFFQAwp{o}Qld
z*qgOO4<0<&3mWkYl{B#&!F$eE7g~fy9<FdnYH4ZV<l`$|S@FA+Dy<#5){P_PUPhh}
z5^@H$2l?r-#te;()<Dtkx%@f7+Fn*#N+>8OpnW{gJ_%}6v(#%@;W>7(!iCgcZL$jy
z7E797JtXUz93??fob#-vwMlhMq&Q|)=WP=+VGV-^i0g3tO`-o=6nQky)62_E{L9H|
ze(f%x<K2T9I0L`-yMlJ&`=;U!A9qrX%f`_qa`M_{uOsdr_)~-Q-@x_%jqtztMHriz
zxj>aK>gpQX*<}YTO+9tQ1)DY>%*_SnId*z*avxKufzC>}PhWYwwYgrHovqFxq#KJL
z=>+NiLi0u-j;hP^AF~abzdc*Gs29yEZy1*l8~gb7KAx#o@kZ|euvb66=4E)cef;gb
ziN5~hnSn~3xQ4AYmtcCo<3$}EuYa!4z2NKnvd*S-jXqQO?AaL;Gc#&6C9}Kg=ExM^
z+~Vr!;_60ay-jJi4m_G@><Dg;|6KhtjXr>;W?+VyELd^%)y{famyX4=tE%-Qiwg^*
z^L`szR#xfoCu$eF!UYF(@<`jIZ}0e7k<tg=jIF^vMDsVm{1SQiQzdy78B5K_DDjBo
z<V`=}4;>GY9$&>3(^q*o>CVKF^kMdm(eP3&D^9$CT}y&+OM827{qiuBL@*kuVslw}
zHG5%UVTunIAD`9Ia*<(RV>3&O1I+ImT}eVQm8`;vqfhqQwQB|W`T3Z-ftg1GGrj>#
z>c0)tuZiU^rep@{&CkzIksBMKG%_x|r<J}n?b5pp1frHaazN6to%d3j>?N%7THby>
zh3vk*D@q&R-lQrA*K`|!$M|vFFT#6@s9omR(F@Klqd^+FU*q3vF}96-v6>qFg=X{z
z0>LMU&2pXYHEkh|J!C>@2<~?=(eEqlBz;P%r+?*+r#cb8eUcFpy--u-&&O$G>^r=;
zMLNGL)8)L4OH%41nq%}wwf~$5{>6a*<E){7+>Wuexi*6iEiAFFJtZk=sI9GiN?3SL
zvoRCWx6cK?LWZoURt|bb-eE_UaEX{syl55cj^R5;e5%9qkN#+zXZ4?d$HT?Llk2}Y
zzB;F)tLq(b81Vj;iTAt6ki0ba8f^?YxUvQ_S3)gqv_Utlj?3fMgOvU2hyRxa)q1~7
z4lS+rq7+=lDO*%HC-VD`9#EQp%kgJ0{)hmjG%dB(?-RMPC`Yj(EGYtb**>`Ja`XiA
z;Oy-EhD~l_m4YKJk!(xv@&{btIH^Z;DXll1TS-snH8C|^!!9g%<|e`DWpNZQkPXsS
zL;vKmYZkZ~N1q+Cob&tN46@dH(aOOmZUZlO4^{@R`&#>tCH{`ah0*xS&M+bbY^_o%
zz$Mp%lm(1L%O#|wOwyQDi~wSgBL|gni`x_dA2>IK?FfLTmjUUEJ|fpX$<#1buMJAX
zg|0k<ENN$A-c>6oU-?fPvj<@w{P*oXTv@toBkJ|zjsr%<y?OKNFG$}z9@{VS^K{SS
zn;?n2hq{lC1-O<XJbw6hYQpaVqKb{>vGG#{lN>K}X)k@dcHhaUHLOjE)Nid(Yi4Vx
z;qq(<1golQ<hB<athyPnNRaD!s*`l}5{xox#vhLhN=X?BXvKg{Y4OLe{sCgD_hU68
zxt&Iuqgz^AYd`nZ)hYTb@-q(b@bE;P*ui5DBf`t1k4K?l$KEG9#8daIaWV@M9J2`h
zoG5r=+Z_DXQ-KhT9ywrWV^c!joW%sJ&s6q6=j@B=_=6J&*tWTQF>B#RWL<&q?=tbY
zGFMnq(wi#dLYpcqZJ{g*pFZ6d+P-ak&((wJ|M(hkBA^-d5wODHL52a0Sc$g1l%XJV
z^cR?op0>_!5B1;waPUVD+q?Vuh@k5V%OLAIJSq}gkRg0oaa5Zs1N9nDhGZq;M`aF>
zh`%wh|NX^bI>u^r$pM`kzD%;C1%Rbytg~aYNN##i#;1dWR_{0ywc{3~_IAkA4TA_r
ztNuq^tcRi+D3CWGqtGZ<Z)&){7LX$b-AkBsV){i;8Rboyk-dWhvv1d+e?cvThkOUz
zz&&~XLx^8zG<<GJ6xrq80aNx+ErtZc0WH#Y<Mreu^AbQa?WX4D!rBjFVoH|lIw<iS
zltnT<p#GH&(`xPrUu!0&rXFTmIVN|)rs>Zm{{eArCsykf9TEhEj|KMc#%Ib4$;p`k
zr?F)^0t};V23E((N%b$=SHoZ1um$i(n~<%bwsG0nyR}<7ey+=-$~hn{(>?|N;PVo9
zcV=~mRr+Ji3l0uBvgqL=0C|R&uAW}ZDG`xPEyxtkY}4Gm$HDUB&++`-TFBsRkkp9>
zA|+=jXDbIpD+l<B?7{hQx6HFjG*8Uqk)*HhA}a!xoWXr6D1qqS*v*TLZEMqIQkzAM
zcfNwpR5ln{?Ku310T`z4Zl>sttpuu#w`UZB=Cd7<)l~|l(~vOKmi$AKxf8^}T_UVl
z8_xka|Co3E>-jC|fz@Swu_H#t<9!uBy-1Sx6-9_5|7RF1GInDl2ojb&NJ<V%+TCl|
zSZKX^iRoMP^^cDZVaT98j~v>Pe*@-shLGvvrAs})58)Dg+q8B+*1XKY>FeA3sb{W*
zm(<fO>Oqy9$qn_x0o3BFx{v~@=~s30DEcpC%ewYG1}$R*yL~D*fUyX|J!;fHL#D*U
z#5loH5|!4qGySa3MHoV48j#{=NhzoxWt?+CjEr9}zMxQitvX$vVPI>LK{YYyk)H6E
zHVyXLrc4_XWNGhwyibRmCW<~EPI7*Y8(D3}Z4S0?c@-(!EO%7+>YA7kc9#Z^Q}Y^J
z)@^Z))13ykJ@Td2>w|jf3S1sDBPR>Ji6nY1el?2LDB;*h$F3C^8;uo&4k>4$dQ^(@
z=@q8ylsOzVl=O)6%=q*Y5i=u2x-zofsbV%W;!IIk^#3j@pVHAVOfl_P%p1yD%f$DS
z^5>Kp)Vxf}O?vX3khb(qg@WMXjQVCN73Gc~f^=`SjT9v?Bcr$h%aSWS`blp?$z|lz
zr2}pC4Oc3tlFiZ^s?FEdm*?c-+IVb(4tOviooj<Zjv9rNK;3!x_SN>k&b=`}AK%N}
z0(0$D1U0s|w_in*h{TC+U*1f8swlJ)Bke}cEd?+g57-EZM|OMV7w-=wNl#mLKgV3c
z56kcclDwn)&!M7X_>~I!`ue`NB?Eo;7N@;_{o4E6=T~9t?EH#($;rtIBSY?$gYKB7
z;EZz^cUql+fk9nW>b-iG!}Q|GzS<nrTxv|cOU<3x4E%@_(T6V-<*cqA;a)ed$;HVD
zl9HcqpsM<7Tzq^+=6)dkyvITELLwqMlarG*lR0V9e&4PVGL<Y%OiTb#YG-mlB#-_4
z^8rbRwu77NWJWJ-vfISK;5XG<-#d-9Bu;f^-5v3&9&#rnOJubtd3#)&w(fq0{^tw9
zhuwj5R?X7mfxx4P^jC8+e;Q+}38~FijqHcSsSw&=s=q9^8H+64#j^jqsQz-N_>iqd
z9P<}|*zUFzDXJA^bD3;LZU_b;JqIz3)9S()VTrS-uRgGnKj@n(un^Oj)(0$gMIDmz
zUKsrlc5~W#Gc#~jo{dkz7$zwd3VY{3Ev8g6hBu!+Gf)_~Jew+M|3D9?%y-6NX{x8@
z%bg>mzO_BI7&HWtDl3ubUl$e^6Jb8{o%!VSKK9t!LaVr&_=g(c#T&GVP8hcnAr+20
zp|i972ueD5&3kFO-{|4PhY*o=g7@9o%&Q!91)PKt#Osiu6|o?L^dYcvX?E<~_;cwI
zz1nu4<0N>(d~gc|5M-?_m4;eVSe#@>M=C2)V6-f$omF74AJx&*>wUl_vO!7nA&X7%
zypzrXN=W(o^?F(0vil-<+O*M8yZH3<X%$;@bEg2>#5I`t9D(><xy7t*92XEEfWw|e
zZm)#-QOavvx6Hnkdy&?CIqjv}Kq`3e=4K;jZV}U>Ghn$J&B1H0QdAgDkHoB<!JxYf
zUCx|Fz8TIK0BjH-4blb1n)g%mX~!uCfBNCznWpUQ?BuR4!?K`N&+cMNx%l|_5#%Cl
zVH%V^t*GcU^LA1&qH%C@JD8SO^+$EQZ2(b9xp$9svDXrvf^OXG)lEO!={-Bx&#UP7
zk=|8g(GXO<`UbgmRe9y}E`blHZR*Z`-q<HzcNMZ4^A~paSJ$Ye1U}5*HHcOS^CS38
zlzZc*uaw8<U&`Ev6v}*OEV^NDr68Ab2oWNP$jJ1xrO9=;4%hW3BqpZVZY?AUDJu^{
z-qNNbBp~nxGRzc6XN(LDuZPgfa4EpRYaMd15i-m~knqC3wGG~d0Oe|%3uOd$zjU)K
z^Ivp8=`PM%zE^+W&ny*$WAZ@563xktTT7)mI!R*9l*LuNZiYgSl@~!~Yk--79+LO8
zYx24C!=dZ^AuC_T&As<Yz<$IhCr>mIhOPVR{1>O9W5-&P(q!E}C4-_eg1sp1GQa^_
zn?Y0gxw<f$?c$e%W{n3kL6oVKzQw{Wo05{UHPF-3BP1)^J32OIZe`Ny=^H^L5`j(*
zF2Yv!hms!(XhjXo$nN72lWso9+z^2eK}$VmTN2D|7fWiLhS9pe*L?uqJW6nJG8cCk
z74j*Ui4VX8S;c|cTdWx;EG8z~EImE4Y}g6I-eP6rW^w<rs9giESI(Qe?9`b`axa+M
z9;lAC;mw=RL*^rGe?ETvwTc*=AwW9a&91WX85tiJ_mf94k!TETDM$Wl83z79LrZHN
zU52@2W@S|bXbMBVO-fBYRZ1#kLPKTTkX##o^0M=rJ8V1FKjvII@-#c!%5eST6=v!S
zWZTpLzMbum<l9E{yLa!V2CK{5YbJ#l$q5OZ6;9onFv6kfG6Rqg3u|vR4ls2RT;T3$
zYhV~IBog@y!?U*HHd9boSaGBCI54BIynHphSN3tcDPsQA$KP(%_|6p62QE8Lc0Jwl
zf-u=9<haYs3`BQ}G5JcN!hO|Vx#MjqSuol5g(89IdCD-Luy`yIoq5}Wj$>?S!S2-E
zIh^l{Zm&ec1;By^Hm!d9<^eBmD;a2MWR#^HFEshc(!Dcm$1cIma`6KP4)_eW`p}21
zCx8yt#?#Qm=O`^;VtYHg8}nb^F{jhCU~-WrGaUl`@yCL-YF7z?{N<FWXb+r06+yFu
zzX+C0nqUudn;zEgf}F|+#uMsn?OgBM`y8UhgAF;;d|{77U_wfhL-#(>h;$V{VaG%(
zSjFzOCF;_90qoBZja$BSb)x%xH-^DW6GuP9`!F__ahNs}GwU(NocmBszGbC*&DvC9
zPpPd6?0^%P=!<%Krn<Vi8JM}=;h6jP=Naf=lyk@3xaQfRUw5%c2d#K8sTvKk)pV9#
zQX;iH8w6SERM1_m^UGqVPF)0UWwY|R0kC5#qy@nxubMbZcy)_~neQ_;A#x=?R=u@>
zg1CqCTUB@NWh!WK(%WHWdLL?SA`4sYKsaoD^BvdLI_mm$kO*x)c~8O5wo8r;<A)dK
z2Q1(yAP+M)9G86rU1wk$yp+g1K#M*kmE*rmc!(*#^31V=U*H2L7uO-w7K4yjfi{+D
zPEJoxS3sBW$~YT0`GCS&Zl;MW&kQ)O(I!!|^~*M1@Qnhczjj~k$0J4^8~d>&+t49(
z4UH5C8xEpE0#H-1xjXsgfR%I>qVusz^kjywk55H4ctU^F)FJN}H~@s8ZfhONPlbAE
zYu^uTD=;av*gRt7;_R#ohW>tZw9G&yy40(I&i070f>+sC4qhI@EH%7Z2tqa{J^1qG
zZW@h7b0Am7-i!62_NK^tjc=1Ph=q~9{?$AC`J7=Q91DG|6~il`6hJ!zhkJ6c`?8VT
zqLLt;rHgJka6UNxG|5I1wpB*Tq3y;J*`WqaR^F!6>u*`h;QPhW(9PCR;`O<9H#oL|
z^q#mej}4XPJLk(ha$<hwRSF;;Tx5_7V2r9vdGSKB45DYRe*2`Jb<rB599;?K)mK+n
zlcp;tYKGjULbrmpbqT`il=h5sEOl?T483U+1`O)OxD*+eM{vLj3CXlX^9D_{2E36h
zFsuylq$Fn8-?5(jBye+yl(s}ArFAH;w}DjU_Jl^x3SbqlGbN)wz^94qqO!G;6{@SL
zdFMVBD|h?$?Hu5mcC7D>_jt5RLPmxga|kSRA&HeabqmGAXQ1@el@V;T1fdpv?7%VR
z&4B0R;Iy-O#y2e@;=A~V53hkR@SK?ijg_q&4k(03e;mAnoOs<gwG0=CK?BEOx|fA^
z&Ix5~IrP7<CoD-9CCi~R9~#fy6rz`efHPZ~wVrYO93|lZ=bu8Nq6BqK%~WWsln?PI
z)0k9cm7ACM{)fZT@72}SlM72~T0qQ7{c#ueNibCvi9{biew=Ar2{k@cS8y#)o;(S#
zMZtxelW|+`RNOvEcf%pdh;J?7-T{F&AoZOk^JK;rDT?o0ulICcCljN4ID}TtS63*I
z$S#f{u6!yXgNo2cOc~1wUZ;<nHLjU7sWe47^+Bx`n|84$i<H)NF`uVZthO!cpu}tB
z(PrtnhU%zlb#nh6hz|DVqdQ^FDQ5Zq8nnJL5ZCE?6C+n!UV+0zXlv-Hm#AG0{}1ij
BiirRK

diff --git a/_images/db59e456e02313c8795362533022046abe7db23613536b449f1dd94f5f42dcb1.png b/_images/db59e456e02313c8795362533022046abe7db23613536b449f1dd94f5f42dcb1.png
new file mode 100644
index 0000000000000000000000000000000000000000..3fa60cac4a3c218265377cd1706f6b7b84a63846
GIT binary patch
literal 16614
zcmdsec{tT;|L)Q}P}!AG*rkySB{GCcC6svxAxc;*GRxS=E~G?K#*mpzYl+ZKRD`e)
z%Pd1?nKGaI+kW5k?)P_{-|u&wbDi_gxvuxM_ht>x_jx|U{kiY^xu>cu&$5nl9f?F@
zQ8;@_okUtDM<Ox3TC)njNop|8z&|7$PG4})u(|5sY;0#rI&bW7&C15X%EIJ#CsR9n
z3ma<@L2<z&2Y)wraJXhKDI`SspDz%!u`?6m*~9CI4_SNdtgbzYw9%OOKU0EiyakDL
zTtng12~C%<p%%A`nv;b~W79WIx-bd-{&m%s(<dszLljMEEc7kTadC~4E(g>Zx=(0<
zo}m<mX<WD9bY*#Ct7J>gIVn?9g`=Y9Yw5rJHooeQL@S>yEALFs-7fz2z9iJx+xS9y
zZ`YxX;i7FL&#K6jsy9{69u2d4%*DbhNTf^Zo~?pd+S})A@XT-N|MgE!m;4)fY1!GD
z5)u;RrtHLnY`(N|CK73bFtc3I;%u^D!G!wEjF#+_9DCj$VPQK?pFVv(pP58zzr`#6
zVE^I6nN4DMqJ7Qr&e+VQr+@zWr(qiQSbUePtdW|U8ntb#f0MW1i}{)h*RBa0uOX3m
zx;}2%wpVpIiKM~HjPLnxevXF<PtY|~4(!}{!k<%AJ?m=4j$xYfh#?Ed;Zr+z?j$$o
zW~9COp~xlU{?-2OG7>4WQ^YtSA>l0V8NV+^OS3vYbAxR~Mmk0wIh|cylQX@MmJMkJ
z&kkMo7JU8fw~g8e5chi}!py~t)8dzBessI`Mf*7P(-VEE1w&K@{gtuYLe<iIK=GW=
z!GoH{#?eC_GhJ^|wfR+|R*~Myf9vh#-@W^Nbel~i2Zx=ug+-#w&-UexgJ0EduVPV8
z)=s4->j)K0x4P9$J(qT)o;-QdN{G#3B`L}?nP%J<V&qx<y*7UGvq;r`2?^au_aFDH
z^S<w8*)Dd@$bIZ|@PfLAhG~u-B^?`0H>o3$p2}-K33{SE6@T=)DD(M983Q)oxF#J}
z*F2>;K>>l_-7H*^nveIMSEpIG9PyZSFz{NK)XTkQ9K5h>`ErVHW~Mkli4>7><sSW|
zKRw;3F;eM?OFCP6nx3p_*%p5ek(W(kLrppM7H!ed(c~{tHzl2it!M=r@yfHa1L+1$
z`$(jO*C_`rn#I2_l?rI;@%i%zv2gA_eWu=1+K@%g*w}d8`t{=<3zsij=FlCi!^g{8
zY(1wUyAUfzX>$1{#YB2rGQ^nH-^8b*zRUFLGht?luF;O-vhwoUj$$7zb@dnFQqGEj
zCYLYQ#VTx8P<MBKbG0fW^|^JPLf{cf(~%a}fz*BmEj=(WaH3kC=ljBRTSIT8*Kk}6
zLY+(Utf%MH&5vzH_x&f8rDa5J&W?TH(U~4@5w-6*7cS$W*OKo{{AUh@A*TP_&yQI*
zRhuzKeE9lpf^_>T>G(8*{QkD3MOy3iUM>TV$+}i?q*7F7b!3Te`Lc(aQ@t-vw{mO^
zbRU(F%c%(M-GXoZU}_p{!0GGn=(WkNXPRLq_?U@wV|LHs8n>7e+kS+WU%_i4j<X{w
zU!M8@^k<KVabIG5g!;*ow>U+~u~#deNzi*IzSrh0EzWJ_;7E*$`rUE3Sr?l;VHJ&H
z6#w%aJ0Blk%^$416AeX+bsaK~_o>v&^LWG}MYY_fhwJ1vO2^KP6d55;Cojd}Eg^Wz
zETe7lrNZOAiTLe?>Bek}$7ce#Q{TToh4a+zD)q1J4lzng)u(AU#=m-{Ix{olBt#;q
zdd-|;w>yoc)u$OG4-Q&!ct>YvA6b~FRpAuBb}86{h_8naH!=A6_>$Q8QMGbX4Sk|#
z#(R_Pdn@nz`Dq?Mek1Vl<H>Zd1tpKUsnkprGC3(lJ9)_Q+s8+GDeNQ?T`b)@8aZ5U
zlA$@LsG{P0eQCV6s^MsxdrXdH19@(0$aQh1SJe333Xj?E@mf=BnVB`OU3=BC9&a^b
zD;8$9@t7Iw`r!EE+b1$3+p<BKiHV6iT^=ITKx_k2Pm3`!*qF6$?b_=8x@5-|$A(5~
z8=|$WtgHr`_D$6v&x*f3sw3}VXCk%phRrNkt15|V@f|#P4jIYa=xl47ao^XsyVp$i
zXZOfRdQFXbfICuo6iH&%hXibTZ6CjZM<yjO@VBAn*BVmJ!*o0lg@SUK<2p%JP{(@H
zUiWaGe=c@D(rfYch8^Nj-Q^(z!8(T3=a060OD#r}JNoI!dxwqv><X|fxxbY<jcg0q
z9TyjO;Lstpz@SHub|%-6EysJF+wh5sYB{%FkN@%G2mR&w?b4HUjXcyx%N!@1m-BVU
z%7;RiDmRfxg&#suR9~ONp|r2PvlC5?{Qvh)8CLHN+{Y4vg0_^rf4_hK{<A|2TEpj1
z5iLzkO-d2s(c;~mwdBUkxMxQ!UZ7wOe9gF=qbZ7mT#2{V)YfY0=_Q@^W&7^K<N4*y
z_3`X$9Vew{`(n^}j#vb?dM$aRUVN>NzH-;j&hCiS*H?N;oFvlEWxmGj-ZbB9C1Dcw
z*_ZxYwlF_l73^u9qqmif?PY_JmjOaKD>hTLE>UA2rS*+&f!lOiwh<a3YCUCSe0+TC
z)~$Pz>yp~rFHQ5HyI;$npLf4|=Z^Tq+|XuTx!?@FRC4u;)4`E8ZG{FUB_*7~mu^t>
zQQKd{#N=Eb@8O%Ph>+GtBd6+UY6j^K;Jh7uRlK7=e?C_cDQndAAs{{TytQ@OvSrKY
zDY_#0LmeF*Wfc{vnMVIgMONov780rd_kT}C+Q8%R@YHYLuK2SbI(hlS14p;>H*elt
zw_yX-ji}PeH;)#%mjxZ*6uEjXhtiZ|X*TDkto#7oCFtS9s1o08It-y*yG{b_NILch
zwe)?-xcp%YE34Y$OeWHC>CQUgE!dz}uY`S?u9}(gA2^^O?KVZvG%f$utFsWLT@@i+
z2khW6)o8{k<DR?w057kc&qf~YNEr|EMJY5=9(R*URVOFvZ<{x7<>E?xZQtAfbF2$b
zmh*g$SohDLE|iu$t-vk6{q_PeaX#Xhu7!m~Q=v!xaNdC6Br>#2>Jy1{W5&ht%15<<
zhIE~)S6?0$5kbwhnAV+n%!Hf|e)K5%)~#g>v+<sa$B~hd-Wz$+-n~1?!g=JZP|>_y
zYW)W6npmVqr7Fd?M`9(qowaa@y*JXi`6huQ&-wpf{h4|*i%U6NGOjLJXCOJfuqIm0
zM^jZb3VY}{(rQ2eCRFNu{rKY1H9qp*2vdhD>FET=f%@6GwxzTzv#KP0nst9$QPD15
z-ry%sURtIXXah6U>)RA`e|iQe*<9N3D0;Xh-*Td_n%F7;n2Q$A@y32&uv*#0v5j03
zcBfEP9re+RND-F~F&AHp?fCR~UtOlDl8^JC)m$DQa4W(wQ!f>vGUX(J2E<f3?<wUT
z`nmCv2G1?jri7)ih~ox=`}WBjc`f94&UA0XYMMO6Y&+j`ZbJa8Zojxrj;P@{(XE>{
zMLiMFFEh#bDwB2LAW_5GMRr7pI7BBT>~C=!DNsCrJ~+~7!Bdl!*!fXu?oj*<r`F=c
zpiIiFAwsn(?#Sc7z!$;%I(hkQICH(;8q-XaYXaX%x=p3zISnOwvutnjSbVo$C^z-E
zP1j+Le^k(ry{ZUBeIBp*jLy!^-HGp3kn!L~9qQ~vU&?X#t`6K+TG5SP(gj0$m{+b^
z)vw|;`#9ec+nL}fcsF`AkGm>bnzOS2UXxQ9SAGSDP=~LZC|a5;>aU4Yy1SM>QaG2U
ze;<&3^hn4%RbX@!7-8oI03X!>VlSQu*gJFK{e~SsPNoJr%>T4Cy>jJjAeMwI>Ur`4
ze<J%TZBD2PlZeS5Dby!Ad0U}J9nHqb!1a5aqJo0ji4!;TEs5A*4|(_H+o#8qCEJYp
z2n?905f8wAAXPW(3{l-)o(t_9=EUlcmBw|8pOll!A=mNk*}J!iqN1c!D?n?0ftr$^
zER%j&0^#qjlA5B&!_94I>;|-+OSBvJ`%1<MDv>hJB<x>ShD(_-oTdhK7lv%SG?2W_
z+B<Ln@vpadFOCIxnFDzcFkxwNp{~fw3$?<c_T_okv65{q1~LC>H8+iX^X8cJ=-cH;
zQ4Lkqhp2?2ww<Q{NNEkL@%<r6w0h^ECM|%6T7>w^i3taVnju<Sn$*Y}jT0wMSPQ5I
z{;S>}5EIjOn;NV}J8<mz%ux|8MXQm)C|CCBQ+4xe`?}ZmW?YgEXVGKRkx|*$3|a%~
zwEJUhchUS0r9HcMC!AP5chGTh{yL>8TLC!7QU9h^sEFAEwu2X<(D55PWcYQ`=w1sA
zUf<D>wvvT(E?h`JAz{p+*5jcM-9#th=^R^2S5Qy@o=<+&LeAkkaNtw0fn)_ahv-Vm
z(`z?uNISenp$2GX>u<lAxZ!<u*_sFtA8aOb@xv06#8(SAR}6Hv{=Run|J4ATbF1!c
z-Z$~>u?q3GI;s*frjDFb@L-38daWI*F;@>gEc!=@t^k{FsUJto+qcIVW_$MRK}`?&
z?YG}{w6+0{P7Y>OX)~^lv=-bC2%r^IRaR=-*=3&bV~<8%mz<CWjLJi0rDMCK$KG$Q
zqp~nFXG>v<RxOg)>W#r|cd$RRD5Z&Ro#_Bn=sG<-bnW<~*aI3b%|AaqR7bUFNDCht
z!M-ahDiU>!O~`QYi}O4NCq-ptZA1lur9`d1e(9J6Kd{iN$<Ak#T1a6~pGi8B{e|w`
zy?a;UO|B(60y+>q%S=T;pL)*Ib6e57kjTjN6Sr3#5EfPi_^sO$a#20T6;Hj;Rnu}M
zM?gwS|K7cO<l2}1+9?-ydU<&<%vf1jsbULr(+&LTZ(by)<tgIf0C=O;ty`CkRphs`
zv9VpH1@yn#fpGf;v_c|8b}JwOY8W;}sl`4UbzFXSIJbH9_FMDkcrLh_UcJgEBBJr=
z(IcnGV6)eqohC@%uTPfG4Cjwzo0hXFs9Ra37(^~#y&(ZlWSz<iV6iu3c(2>{xDba1
z1Lp(Bj$M>;8vLTAV-Sa8*pIQTzWvYJND`bEZ?Q0+N3bP>n#x@KN`U+M)2A0qf0fz&
zy{J+%-61(HV<rR^05o>}+2KPh=t({*hRlaJVTYfi#teZ8WX0@cgV7!ZVp862^QNP)
zA1^reIZhZY+t_WHqk}_s;Y`nV1yg%l_e(Nj$YFnExlxg)UcOW6?(b>&!!@xAj~#|`
z8v4;r>Iht0zl<m%pW^ffl$4YJuE_db0~JTxfLfo^qvcln^T--vMb<)e{oEXG5~;20
z^9W7D*!+7<9OvOHf1vPKUW`ru9Sldi+c7G60Ua;t<Hxf|x4uTR$hy`7H%ra^SO*Q^
zC1&+CDn>q_zi@82c4~-$1}Ws&_vM7f%X8J>2oeF=RqEEFaj=T&J%|Cfv0cpS3!-~+
zac*P)`7~Q@wD@ADoVWRC`=6qQ`6+_!f7SoX_TGY58B_}KjP)tHG0$xZbw#dzzSfXd
z;Em3HV`S_CJHjt%_;oLL$%hX{*%ZtQoMKjeeQ5&+-~9sNmp3Og;GKd7dHX@YD1`{t
zp)e#_>Ho72u9HKR($Ld;Ch0VoK(q?PUf$erevU=$UX?n8SG$_B?9DuYKfOZt*LL>y
zlbyaoWR&*2+5Th#Q=(q!e0ab$ekvRX#@+E`Ej=_eRF7&E$|iU*p*CJ6`PHj0Tsd`X
zKXWW2y`6Tks#G<tM3YD_oK+;M{o;7!Qi4IglW5Bxq*bb|1hdD&WCO8+x;#hA^I_s@
zTvASSjFu%DiD;!N7VYP{u+wA=Da3+2XTR^89B$DUdNX><I)6w^)S~9ShA7&Wi=T$^
zem*`$WFh_IBi>-NUqF}ZNrI%w<JwQMZ6fK>x3_S7A0m^Y?3C|D)7m`s<-D1}`Y1at
zzjRXR$=R+_g}AuD$jEG$jG(~Ip(Ik&u8@(vj3TchB*04~=K%VbCQ>fjx<&G|ynHhD
zb~vrpGWR+2HAC$uh%((xe7z$=T*p4HVZG7RF_!<S@Mq_GNAv}Ks#P_bWHNR~DX?&9
z(XAp(qBhuIS%Uo3P}atiftm!p;u_CQN_e1TY(6{j{TF<i9BAPG{r9)j0tEdm1~H<O
zwIPrj<1*II%qeALv?i`5C3UH@Hx;<iKtsJ;$I#Cq$8FxHOwZj<Dik=JY4zY?kyoRe
zmzPELF2P4k3C}M+TiXIm&L!=tdFap~Cx-Lj*J#=Kj*Zp_m~Yr9DLh)m!k2%9ZM)K@
zWvb4vj~sSjP-x#D$#bg#&VyuBR8q>Z?K*QlTv99MjK7_;KgnJ5N^H>6vv@fTJt4w#
z)&fz9*<3MRB~rV$GMs<|ME+!a;I_xh5ic4scl82xNW8$fIe;SH-&&9_>Co3++0?(n
zI(0PyMtpqEASQm_nbW5aV8-7|l#Nk7AEC$6<DW$c=p;v>Sv9`cDD(4e_g^5S*tqWl
zkC!Iu1!|iNaES7U03Mo$6S^a~F(u&UO!O3ofmB)&dOi06Z~$+^cNCtRD&tS@18vbD
zyELQHV*7!stg0%csHh0co0h8T?+V1yh&%(_Iumly?%s#{fEw4f0iT6Dc|ryyiFH4$
zjF3+L@<kPh_dF=Lh=l6or^i`{JpH+XEGsKZ{Jtg6(LN3X#PRTsnqN@8e?5_@!lHlw
z8NW}J=a`EsF%_t(JtBs81E)sQhy<_>QQG37hl2o~k<#Y#KgV3#Z?2}t$Zsq_K1L)}
z^q?#gXzScLzgxF%(F;9@;L<>^-Y|KTS?>1gjZaEUs)1U28%>CGvgKp0czQ^#!O$%=
zGb;-$hJrtrl=ep1`B(AeECm%69WbJ70(!ALo<C1u2&sK{cl~5vOn@YPiD&7j4}!oa
z8IZ2<W1^3sm}ULB=VBCfobw)ql`B^Qeb=KkW290F*s2>UVc%o^=dG2qAaIi@H2Yp<
z0{k{nDbMw2)~UoqQM%nGCDY^I2h$R{ZA_%mot4KNsuLeY1FYo7pF2vXpGCU>zE9KA
zTdtj~C7_p`Ks^t5Ih@<IVPU{%N&VERJ92a3|KMxWfzzFXuyg(Uv8`V7V;?}bWE2Pq
z2-KNHdc4Hc_mv7R`n`0W)=u<Dg8c#PN~RpOsM(ERHShZpy<tQOtOs~5YJm_B>KJMA
zajmgAW|XZ|bdlC6XWx<+fb%|6q9ARh=LWOtsEzr~=^$VzBUxEl!C_%3th{H;2ft=$
zP3fbS6YT<JO<YsyHLwmKyChL*e+q`MksU*TZU+FP{z4>}ns+M@pyb>+O+cR<_Zd4-
z`5wU|(LUTYN<sx!8eYc6p7QkcoJAc?sghl4j^@-&*!qudrc?Y-1jia26cigF?bctX
zV-#Fe<drjIZ*T9|`F?Fa1%<cHSEw*yyLIjfRDca0LIlCz)|IiA&Y;=osH+G57$4_%
zznY^*e8x!8QtN9n*F#LVAns7}EQgz4OM1@dqAdhJe{R{ZS4PGV!$t7!)2B}LWtIzO
zxhbe45sOdYL+M`16&%FOQkQO2q_|o8?Abrk3a0cbLPb6dZ8W)9<XM2>H#jsj5j{4)
zs%$m&U-K``^C)JSwy?Z&^@!(G!va08`7R#*1$WTFoJhOVkqcc)1oTIueKpMlPY9fs
zT~-C&<OO<#WR?=DM!FpzGcX$F_?WV)+S=M7?lP=OwE^9G6*GHOe1vOKO%-$T7Y!BZ
zIHu*Ra^r;2+nd_yEBZfhyPZRnXr>z$90AV`4n%=(J1g-hleH?c7SJ3b5;miX@P@6E
zBRHS<NYA80mrMJo4C}1a6*lbNm||0i>MbT#&r2vAF1KpSZ7<rEY;DRi3vfcs1ylyJ
z`G8A`n2)*lZ^VaXg>8`Q&T}5I)_)tMP>WyaNQmCl3na$xwVU_uKXOD9Jj%L_8+FXh
z6NZbHJi{d&%a-pUKKy|OuiW+P*ZXVZ1BjIF4R=n$z#JHh5mJqqX^Ef*6_^O_hWh}f
z(YGyFHzq!HpyH{Kw)D}_(RGn5JH&}8um(I-v)*oEViI=@9VCWu<OctWorzY)^xg<J
z<z$_7Cw*INZ$ytKyQJ$xLLMg4?%ogsr_dI~ANajvIQlSFyLuyc%8zjZU}BgMO$8W=
zsu#!Bvv9^PO)o7*-oJmJ&s`g135Up4Xeo`95`Z_CXN0g*U8<|Ao7Z`te+xT%0`c&O
zGH+vZqyqsiweTKb*2V}~O`gBhoKvU?P_bGCkyGMt!9vCl@AdWbqxV!icWm>RK7ds2
zmcTsU*JPPqhiYHty7kU4NI$VT;j)Pd(a#rpWtXZ8J?3^RWMpJ~-imFN`PAJl{_Lnt
z8sK<Ycn+S7E*T%vg?}cf{MYi_|GU4s?_%acmpE|X!2Nso)G&xP(QMKQc$bjS_rl|-
zO>2th!fc{#S1C#{F^xM;4L0f}5TxO)Rjq<=S-*e(&W9@a;<WFU?c0+P;zWg#wD0lj
zsSMXQEvk5alpm^AVq)SmS+7FQBj!;k0EV8PGLM)ry$HNw_cnIPU!#MGQhq(#!7nI2
z7fqi777q~n`dCHg`>5yo_3Lpy=5FAwh%$@`dFATW4GC9~cv7e=m?JyCjL@n!Ji3so
zonv18qO8gbWDKP-^K`0S4l#wjD=v1d5N+riNH0orDgqHi)QurfmfgcO#NgQZ*m(ax
ziZ-~KWGf9BlZp46Rfq=xbs9i4#>tU3BVgR*e<K`e4M?*74gWRam}=Js20Snp{Qdw2
z40S?`vS~er0$_n5L2GLL-?ae4@Z-{dSK+c2q`@y?o>n}2_Dg4pZ}LzB0IdSi9*3yT
z{d5JeiB74PuoELLqQ5HB!GoWpsf~?|!~hD;C&#KW)3=qio=VXtD3r2~A73#RiGqV6
zL9hY(ZU45&ry@cBeKFQO$VO2ALIo3n+NpYR#9WS+kHZH}7^{yaZM|ZuU}0hEwTwiL
zR5@m5zA!sk_W83W=t$6XLo)nchmT{dIDGgp$i7Q+gGA>6+j#`-vAetb`;T&=hS|x1
zI%JDpDo;XL;GUXXTXl=XZ@v2j3=cl4V~TQ`8MOB%`-)T@AcZ{&-jidY!FHz%h;{Ww
z#iH_g5@}y(r-a;%bOx<TW{rZn!o8r-@8Pbbw<&AnZiG1WsXAE<o?Kj1w@PvDXCh_o
zVrDY@jYC&V{$pFwU_nt)wmECaM^Y4Z=KTtCRH5SEF)PUi!<!)+hr*g=B%4lRqWX7`
z^-sX1s*=&eK@!JAMVC{05+pEL{SRq1e-|kse~sL6>Bqs7jLvlR#>lP@A}3dnw01Hx
zO)^_XFx{{x{#yLZjMTp4-6qwlSH$P|bc>UCf`YZ2BvRyj%H%c>uj^vxSmy2*<9z@0
z8O3||R_r9@vcKEZE|;spOll4gUh#9&@RsGIX{hNkcce;4Zx`_B8#|N_k*>)O?_KWB
z?0lc;h8wFliD%2NhjH%s&mX40Am!izfz)ByxJI4+6*p$Rh3~jlR6D+TQ}OFRKbo+6
zcMR?7&-{zz{|K5#T>LAe`|Vm?UDH21-*xlPFT~wmJy1{iUZ}p0^z%0}&ms<vlLg)U
z11>X);UrZfR&Q0CnKDU3;?H!QJ3Hz6g_#dR(&=kSlUp&a-ja|j6yh&GT0iz9Sd!`O
zHsJS)rYi~4?xtKqMv0qA{o4tR^<SQWXv3uSD)wpXp@RrMz*^%4k5#-Dqyt*}soaSM
zUgg`f=QN-Rs1J2yF(C#c`?VNCM~~`&E6@bg<2-7e!Y%FE7w+7e7?;$+qN|GtERufz
zDqE9Nw$Mr5tp6lSYiR;I$*6O)@qTG(10=Oxw)rE^pB<}F<5UR!I3_?wk5Z%-bB5sg
z36=&VG{_#|7Q1qRri{z-0$LlKZ6`kD{I$CF^M3c4Mnz@j!lM5UYprUbdkb86bsP)J
zrdUGiiSU@xZGqYsJayoo?gLNH!WS=IxKuveCZPL+an?7|sB!r^4Rt;n{cZI#N$W*j
zd_x1cj<=ZH&-nzQ66;i>Jil{iMZsjfKA1TT;PF=X@$+EKmBAWmO@;mq<sQ}9U?%SN
zDe)hR6u8Q>b$R=9ce^V@i6qnw^lnk$4L%0Yf+DTeHCbln+h$SoFUMibs3{BP7roa0
zmTyk@uqG`wF4(|2(aKFUl&T%s6Bew+woKCD)smoyjM}qDJ4udrtNi}WzhDpv)U{{d
zKFjxiu-2{GsX+KM2&@A4fF=lxS^!$dasiq-O6cD-)SQ8LGbhpnO*lDp*`6F*Sbni(
z{%KQEwBVs}oK{<R-J|IL77Q;e>ik$XH$9>Q0t@YpAUeKMH?j*KN8^TdB3e!~Q%rX#
z$;$JgrjtcV>^B-uLsAcO-ODESm5F3}Vw$~^=4YLN&Bt51MJyi^`0#&Gg~_)c?%uj(
z%USiiPK%3+d<zS)tLSUBDmF^Gyc*PM5R}k5DqG4WDk)<7Ce8M0xTukgGHLR*%DJdY
zaFiw{F9>=VItG`l=f&5rUlR(E<z^n9bd08offy0CqW7Z1SPs;uHi2D;@LIf{YE)!+
zwACdh<iU!%*B5dVEJMOB7ToDwqavG}kaleKA7+P{64s;p6R!i?G7D;S3#9t`RDFhF
z_g}c#csnck>#Jy)`B6DM)pzgh)?YBO$rt=6<JZeDxx4ryq{wAJRn`C5o%J^Jxo&oz
ze)~qsl9Z~LI)_C_jyF|W&uc$_Dx#VH<e;sm=a&(otYdR2M;ysRbpGo-X&Dmsu|7Q1
zww?zwXLWVe9kLxdid=14he}$^NXJUdP_sOR_QVbP2n(bRR{5@sE)&c;_gtH8ZxVTA
zn02?a(Yx}pz?UlNxeK9Y<V7x_LUW!wyGI_pzc$TrBkzXr9mx-&*VGzK*%A+)o0l1-
z$Cb;~CH6l}%YAWmuA(f^&?UOlNmh3Hv%Ot#785(E*<bjMUPq#YbZ~`8VA;F(cVoB;
zkEk_hY|ctvr~7!Ho7e7_g31q9U*f*A(<N-5{FPn2<vnW_T1Sd+3!SG=(&J*1PS)Sv
zSZ`HCY9Cl5cP*4RMmp!vE)mD1iDvtvg)cg6+{dnOf3we}vxart9&FK_ow@I;t0S5?
zABBpYmvl(zA8q$N@pf~_gJ#yu{xXsKq_+mSIg7h;a|%1v*9Nz280y_uFy<ZfP}Mf0
zCeL9Yn`4`b<Gu(smbW_BETx-YX0k?=opDoCiqp4Ab;m1?>?%HG&@fZ8+kte=Tc=^K
zT#I&HKwD3RY0R?VmQc;st6!orr{|`E7YYQ^1XlIBxC)4oM%m7ItHvdH&R2$I@C?lq
z1O{gM%o&Kkm>Byo%=5^2SaIk_jzS-)egC^nNt!JIMvC_*W(TyUJvvraT~t1>@wk1@
z&(h^v1|H`*ecDWFzAJo(&tUL_(9RQ?7x+d7?n!+V3@e%#E&gmUwhHTxlIgV0^li7!
z>>qiXWObtYNA+&!))U%|1{OsjPqdv5K$IEYdz+!PHB>+Q6%SYDg|ah`n>{4rlHzuk
z9dcetYUdl?o80TU<oCPT!s6@0RWkZh?|XlE1Z+3s37VfT8|L=)J2+Qs;QTPS$|&jJ
zCgLrsoBf#UE{hs$PRZ0Ch(FJte`K%0{P&t+_m?WB;~_ntjfdBfqI#Z+IItE<ntkL_
z@l;mgU$0)&+p9yJxT`s*64JA_hD4GVHd|w@`|C5}G8dl6nx|83a(?~AnU}dvW7y@m
z;gu_mJEGh2ugNx(SxBRfccNX(3}VDI;uWD|>c2{|lJ%>H^1^{W_fDsmIoQ5o$Mzl&
z)$aF1irSj>jH*tb$s4g2Jh_R4O**X0_2&y%n_N~KCv12sB7gtE)bNX#JBLU&bXmRM
zSPeI4<`k5fSzo_gUHwcZ42-+c8TKD9K;P$nO#BwHwUtY&QRAg96F2G7-a9*mbTd!E
zKk{Rx>cTwPrdrMU*gxNKtBg&&;EPBVy)|5a*hQQdY>c1qx0S*ErDp?6)Wt$wo3fjd
zOSUUPHdGB64cjTSpU3~T@TQp=g*JCygX?h~jFgnjQLv%C%M=ywA2HvwQELV1DU^Rh
z)kgEroh4gut5RCKO9C-AWSK}j@E!eTx1&zL_7Pgb4Z$7KKc<EBnS<XhBORZ-@Ss>;
zllK0!qw{rO71A{x!N+xK&D|?W$A^Ar{^!57V_QlM46!ZT#t9FStqt+u2@-$D1n>(U
zx$<!n=!JnmB|$ZmMNzwNXS=_B(`59bfjtv8z6E+YaqszO=08U}KwDoB&;lBEzgcxB
zIyQE9!NL>+SosUIwitq?1yh<vt%5c%0kYk)yDWGX1a{El$1%pm-gW9Fn18qZ90W-Y
zgAsHGH55zKP2;;&soKf!-n~Pfq%%%xz@Y~dK`hWhvhzr5@GuP?CA^Y44Pge8>yM9{
z6TqgKiI1-!!$+8>YG@c?=r$w@`bd-W&Tb0;7d}D3`WsBktr$ebhhG36rSp2EG0Tjw
zA5P&j?A#VG6AzCj3Qv6G4M@P$MtDUCUyrC|y=J2r@D9`pa(zl@%hc%TweFrC?M5Mt
zvf9aYQ<8Sy{>U%Gxa;^(r}ztaRMU(LNgi?W@r))FAb&!+*%#@)3)&JIz2b0T*)~kl
zFnr{1!{!&gnf+4oA7n6)m+M$qw7}~V6hGL*?~oqUAfNJ0`2O*SDmY0rchjSi4ufA0
zf$PZ~0E2lWV4TbjQ;Eif3s03il$LB1rq}P2GD<M3iul!u<_1Mrcw{aTW};|9q2i3d
zdn9Jw+wCCua1ijxP+0V^FAa+ebE20^nR9H~TG_0?VGz<R(YW&Zlal{trvUG#3TqR$
zOFPrw>=Zvwv6JZuk6JyZ4G8AbtTK!UA%cP<cpMl=0%QM@zY?ON-qzc+zPXM;v=%lh
zf=GZ&_Z>zwr~dr%-re23z4;?Iut@pfC2Og}w6A87BAWV{nVGo-kc)U=A!9vlc%{Vt
z-IvqgWBD-cVay6HF&T4`p!yu=mau!T>6~ZVyo1K^bS$^R<@0YJ47PuuuzPzhOzIF5
z-H-9)#h&Ytx#xP$gTUK%KB)ClJ!4VA+P)*VqS)`lLEGjCHVnwBQjxBGyReLWBCBpB
zvU<CpyL2h)YGs&3zHjA0aq9;R=Fcw8SC3u2*Og}Zp@J|7Tq67Zr_S8Eo#0|Lk?STV
zCR?^_iG^Ne+4DIRp1ve%07Tr09J_8s{roZ+uknhbmR+v|%YwU}#J+$3e%%L$k%H-_
z90~WIuP_cvih_v6m|l}@QR@J9U4{EW@kNQ@|4bUscbXh?j|6Ppy!V_c`~-wYl!yn!
zSeB(mNEK~2VI{+`tO_xKa0>a%YEF*0K`Ww)f!|3Toe`-z))gIdErS1p^wrN#*L?^I
z3$tq2D<q^s*wJp?zFmhm#l^<<A^y3=mo<pHHDgkD{q{(no@1#aYTbMx#LzYIj6Y`_
zJkY;Zv)wxyQo%*Ss{rzZU;&|>H|C6eo9S6gcRY)vCnOH@>RlzJrDROxoKj9Hgm#7L
zSG#E+WDWTM?i>b{P&dJWU{;|r3auIs=PzCE>{~i3T@l<RcogNS;+bgqR3T;yYEei~
zP+#6ang*s8cxqz_A&Z`%Mx+NJmIQDG#9#-pJXAY#aI5{zud_CANydV&*8vHvmqQLV
zV9Yud?mPc17LvztsQQ}VLkRwl@EmVHY8|9Gjh)1VWC0*fP=HSk>UOF|wk^#W(yYVP
z)zy!<|GbtzL{NM18&F0-*z1koYI#o_F`QOV%RWynPSY;8UGEJi=)C%LqjaPTY>NgM
zv%(C$7944HhMOz7ox!(5?UW*@1W25(2_3KR&(%Eihdbr6VbRT}P7b-tPB+^l&_l9K
zO4h*?XAZF#G}1%Q`7wC|yH9%pkGU7J&@Iqg!&o<O?$V63Zpq_-YE5eqQz%8ZYq=0=
zCSljyaM9j>to`;z?U@-^<II1~%y0llQz;;wgmLWtFfup?_iLwxji87y)~s103<ykN
z^fP8;VEn3vi|aDVK9vG*s_1Tx=SOYCn2TwZ)3AE^!8;l<iyfx-HKa$jAkdoFp>iZ&
zH|Fm7Y#YEW-NY{GU>+Q~1Y4x{?k;HSITSFo;l>#k{00XHIko!@MJ3ws8+@+M2Chs>
zvQ2M(b~gQwKmHI#N?m3+!PmkoEd0f#%l{~I@#y?a589tujvhF-^*#*3Q3tmsa#8Va
z)!uVYqaYm_IM!+D<vAq!NzVUqKt5nDr@>GI6t7_Z;NiHJFOyKSrW!$H)*+<t`uH%Y
zgcl4=Xtu+L=a{<lc?q||^0^hOS0}>}a<g^Tp^#?NmWBglVHbW&6##KsU0vPu=6crd
zwqtFT=$%htcfYN;<RJ?=jp#REoYOGU(i6*Xr_I7iSeK;5k1YBQ18uT$#4(FGE9?)^
zgwk?5*D<Id%0E_Bsi1(5oq5e|oTG=v!{;|xA3yHV{+0<ns%c?v!`iiKpw0&uJ=}h{
z+lQuXDF6JKK0h-q<eJzAq4l6zymB}kdzWY)khuGC4ulO^MP}yIbc=JOa->Wuyd!z}
zgPisgxg!vGAWWYj64_~}DNdgI`Y8?$4p+Q#j{;)CN!BmWY6R+rw1zuNu3e!@n0PcA
zpE_JVSq#IrO6R|Ph<x+E-@)Eh#-)eb=%if8IElIqvtRKb6>m_JcAZf5WfMSE+lw9V
z@2ie+?YO(`jiyBfG2a3kfNZTsiz0L|GPpQmJLeY`Ab>y&)@z)!fbpIf+ifbRQ7DLJ
z-Z#atq3P4J3&Tf#jB7O(wXI+BaGP*%aIspuZ4!TH4@~kHYRPX%Q_<Fb0@~S)ch8=Z
zj*$cV_Y1?f;)hQ$%pUUN5b=XF5+6{)k>l9hErWI{7x*YN)B-fDAD2`;JNzLA&qd5C
z*#rHc-+h@}p8rRaq%~~27ZFlt;FVD$jHvoXvTf-FQ_om8ZBjL!g9X^)*!*a*xAD*V
z8K=oig^L%%Y?l_Mjj~$;_bB;+oo5GMX+JBqL+d%wx-z_$Jmmt%zQ;#$dK<H=NKXb;
zL*iRE1f=ALD$p1=a_tm_%Nh8<wwUE8J5=4HDcY7f6psaWo95i=hgZIR`}UQ>bI9b5
zE!Y51Q8VKeA5{gO9yYy?+Mq#sj#F)1i~u?Vk|V^ovCfhWUR6n2$%N4mCDb6Bf><J~
zL`m=!T(*2queS{us7nrs&3xpIPR0+%C-O1JQp0mv4OO;w&RLVPV>-QPF$v`jvXCYe
z3+-ZWmSoDvK(Ew)^oLsY*638yk_%`1`C*XhOQp5unKKLvT)!h;C0$0N;CCa>w*)7q
zb`@ST0!SiwQh3L<va&`SdCruiRls^491_wy-kYDBdx6$$=S!4t)aI}L>$FN6s+?zL
zh@^w$Nnv;bJ3$bxs4tD_%`dfGXB`|IZ0gYW<<DH)Tk(SoDOET9%rfl|OrOK5jH0E5
zku%6Wg9FvPWV`0>!o^ujoCN%H+r7sacbedjZEQNIm;G@KOpkp_tGk(X9x%u`oUr?f
z5&Cf#X!;G4W0T_sGB;h3)l>=y;9%vbwDR8kFn->ZXhmYKQ-j}C8Sq-vjgF6tz~Fr`
zq0*jw_^<<zPO(V_yJdaKA?7aHTJ$_hR?ZBHqKD@)N8+$i-Z%~N91amyN}t)EvonH`
z$2~f<Sd#1XzONvwgxkDR<qE{(y)P~01SmfW5aow&Y%<(Nz31yILbYl%X>f)@;ay^K
z2rPz<aS=E;(Z#u<CB|2{88U3zWV(RM#84Wp99#U^#Vxy6KG&`p+(&7OZk8YL0mteM
zJA_d{F2jRg*@s&usZ}@&|8l|n&qQWqKydB?$#<BDR63omCtF&E4*+=XL-16in(~T>
z)TXIiPe=&pWe78OwYrUng1GU=*|FnsMc~4?3}EqL>bik!8)6^j{xGOC<9YZBMd0W*
zf#Oh%mg+MGsiLXreMt!i;i)u`MFJin(?4E#b?L-i59_AvPfw59L=elljKC=c<R#y^
zdzS;4=f}@6@v_FQMcAPHVTt4<8WpVim)vph0Cy#%{SZoDS27UBG3aEaaH04iteYTD
z-?p6_qBYEpX_Yi~3G(qB_GacVId$d?Cwfcv98Jwr{))#jV$D^@#{H@Rk}d<0l;XCG
z9}K*l;8sg9hEOQSt{1MAbNq<5nDmBCfB5aq<=(q_1q3S6Y+%%8-MZB@C@4tt>qwsC
zfFIGP&p$hI2#~<)BF?-Nwg7(00884AX&Br6Aq8*(oD0J`;s5pPh09IZ7F*L&VQBcm
ze$3?+>y|B7?s$81!W@;6zp~{y5Kne?Hs9P1@oR5|{bsKhvJ?x$M`76vBtS&GKOh^&
z(H4it1~(4-<#`mc#8^4RXLc2iitph7j?5aM0ip5k-~UnEv0oEg+*a5^oGB|jiWdPg
z&Y->cL6Xf=_V<=>YlbnQ6p!W)(=ssuo&f;zLkVk=7W)&Y4w|wQMonvo8}E@wVuV#Y
zpXZ{D{ZwxGlCzOP<gClD?<bJV85fsaR(5vtiIKLpkAygrzORbby>uU9q41sv5!fRB
z_w3hi<Ne`>1Yw#@D^GCTryQn=ei9TM+&!dDij-$x)}9Gb`J+h&{+EE2L;Gz2I7p6D
z3P}RwNJ9=#D3o#|c>G*D@9pEWT3SfvYx7zvASgiisH&q~0qVGB=H~dNr1ER3q#XL9
z;G1SploS<fP+e?%rev>vW^Vyh*^rZ(2q;3#is&aP!6VE2Mc!??!Kt9ETwfg{?>O3i
zg7DQq+j1TKbG0M<S_7z$P873>XK}x>nix3gi5f%H(`U|To9hH46A5CNToZdwE@uPo
z{SmIL`&;?>+^3M$gfkHuCY1u!x+&K-#yYoS)#@cnI%bSKC8AfM61_24*Io-HmAo4+
zN?6opi+L8K2+|)H$?BeoS`wnIfKg#{8U;>Glw)HzjOU5CZ{);4Z|2WVKBu5?5A9iN
zX95h%WZVz@^$Df^+tCjU38b?}0jW+{#rWxa6yW93LZ6|>DQ#m=38YPc0-QIHS`eIM
zPoJ_Qjt&S4Dhn0<e33e|S>;&tR(@@B<Q0`Q^~XpHY8EuH_^7Dgq2dwnqn5al<54aj
zMBsb?w`AR{t627v%1GIC*pLz-io=IYTt65j57)%`5_dLXbeJ`XUwd2>&)u8`*H_;B
zkMc>lnp_8^&?kvY8~kax@2uz01ky1#|1vist&f<zUqe6@)YHINTs?p%K?U6@F0~4a
zAk5VHYC9DOOQH7$E<Ob)z*<+X#A>HqOe7ov0kVs^+#VBZ1dS3Hi#pW*MBh5YKZx*%
ztzEm8P=^W49uRZ@aJUYl!6eW?Ke!dzTpD(8KVhoJml?WrtR&`d+(0QHWOJN&A8KkH
zR9gPeti&Wg0Xxd;URl0N+M-53xo_zD{{wEvMG_YUiL|vEVPsoeUa?{YyZ`p1)B;2I
zv66KQC?=ObKR-J1qOAZ{*y6Ufw*3MEITVER!;X;=n=58!jGQ4{F?jUs8QHBZ-`VCe
zd^*%=0L?>0_kcx!L4|r!X^vpb05`#B`4o)OA&f<gxw1vKgNARunzz1rZ96+*@$2Z{
z61@-x7s{`1Mh*P>tGIh%;Gv9EMatS7v2OlK;QPTTSxBP1hYn?waWY-JxZK9)5PU+$
z>|6KB5+uy!QooFXjVvsV*O&0ETA1KloCjMA^x<>v|C$kFz`z)TV5yl}#0l4fuR7wj
z=uQ9@!n29XcJyou4gKfX;RLN@ZKsfmMO<nlWN1lD<Am+(#fx1)6RAy-kXVw-g^Df`
zdq$b7ja-a{{S;_sKRmqZjeCS-i`rHV6hl{UG!1ENotv9WHZ6ZLi#!~h;sG51*BIH7
zq$&+{G~g>tOkfEHsdv4-`QTm=n8O2TVe$iCwPn+$-xCMz2#XxmrcDssQvTF7<;+5W
z7eX2);)l5GDQ4ZAfcC=3F(LvEjmd2Zj2w}Gzq~;4Dm=t9+V^~}Mnh}1JBA0$b~Ezy
zX&s?0ED9EYO+X^Qj$1{@!K7wuAUDF^2=eb+#>jr2M>Du2O7VgfBp<0cfyeHv@>;YH
z_CQ%rA}m+fAVO3D=rV6;6=p8LrAF7uIvotCSQliq7Bm^`()0+8VFUjQK4g&U2yvb;
z%D_os6(dIs)vzxB`CXKpT0hj7B@f+Av~}a9tLLItsq$iVP;|6l`zEGgX<SW&BPk)R
zXwenrv+Q!)c3d(d>J(4`m4Yi@F~e`hm5ItqpabG29x5pr!qqGW+`-xS*jRHEFhaN*
zE}XN@ufo=*;Vubros~+#HGnTv3InV@&j31F4Mu_qbgQOG!h223L%0<iE^d1g16$sB
zrIh2RJt2fijc^&&)YMG8UB1yA*B+@#SJL?Q@Bad{Oz3@_L#u_Qi0VE=_$6RbATDHn
z`t%9ZM=cCyu>|{=tJ!UhQ9gj+H1jEFy0r;vG5_#FeTQ$4POx`<edhU2zpiO_c4Ehj
zc4iYdI=p7ejp$K-+T8Ail-GbE>zDHqHCOWbkJy&|k9HG&Lt9(hU;ZBK6{0o?IDZ!4
z5<og026%Pi0^98LNIH>nqB4tE(0)nDye2ha(l#^P{~2{+CAHs&H3Sr^vQ5F{6F{{t
z>H=}SgMK+c`lY`0>k`V`#2v!0-TD4rUe^PuU)=<fe0vt6eS$E4zQ4EGnqdYgOI)$~
z^Y-d|N@T<}SmY3n=kRd(G$kf?ZeBUC#dN&y|KK|C)Dlz02brc-2Y!=>XNaV5TKQDk
I$xFBX2RKq*)Bpeg

literal 0
HcmV?d00001

diff --git a/_images/dcdc99549323297e5dd30a0baf29747f2425e39a3d3be78b205c036848adc458.png b/_images/dcdc99549323297e5dd30a0baf29747f2425e39a3d3be78b205c036848adc458.png
new file mode 100644
index 0000000000000000000000000000000000000000..995230a153668b36a2f70a658d224b53168d9795
GIT binary patch
literal 21077
zcmbTe1z6Qzw=TM91pz4mDWwGjm6BQ@ARtJ0mx6SIG^pUB1*Ac`79~hXtOW+$-Q6G^
zi{{Sde}89xd!KXeJ?HW~KHx9rZ^oEoyyG2X%n%hNSwj4~_z(z$@P(YT8U%s~g+MUA
z-oOP{3QZi6z%L=!=Q^(H4i>H+rp~V+il(lPwhpegR%Z9yUpu>4IoR`ZKjr4*y7$J_
z)zL+mhsW-JJizVXY{|pG!sG@Tx#=jU>jHrgo1*_=6o}_rK_IF>Ur0aGc$>O4?fI5m
zvrc^1flUH(ALAvnFx{u_If0DZpO&%$<QZ}4MxCf%B)(Mn(O=8>z70p#z!7`CF8s#b
z8`=m|T{sPOc-Er>^O$gKauN#c;CqD3!tZXr!)0DYwbsVXY-ninXimTI74MDBUmw&Q
z&L1#qOg;E=Q1{_BrZo5=`b54%ben{PWIQO482l2##bRJ&WOTlT3k7$VsBZbdV6e8w
zR43q>X!A$A_rcB9wc9&H%*pZbcmB*aGECQdeC%8f_3%JHh<zWMhyfZts3b!8;>Cs&
z9WE5(cxN`MxVZSO$9wPq<5!Ozqwmx9%bT}+FkN?M=mIX9bMx|AY6Zd9UdgDdlT}ny
z=ry)#Qk`J;<<+REt5c)DT=h6}KqGPLC3q<EN7F~p5bgW_^X{6=Nugit=f+AGzg$;-
zdU-h5U+ZESPAf!8BVY^jNC54zV^r2Rtu7}Rw@iD?Mx5_7GBEfak_6wPes^)<<8yg5
zy0?87Oi#0JJ%P`ihk73d2Gm}D5v8_FbG!4!_gL3;Yl5OPfhWpi6gE*6if^)^aVjUB
zW7*Gmk4G8WqEL_T6G<l$te7G&AEUr+Wv3u7|C1%b;9YX^-D#KPl$8FVp(T_QIdN6h
zzCUhNRXM``InE<fOvmxp(Ksv?n901o*sMy}@m$eSo}MkETs(NC4Qf!*Xx>z3{71gR
zDuxdkl!aKJmv6KKdmFEgcv7D_VIsUy$2L3D^@1Cln{K^H;{MQqfdM^#Fui})II2|P
zbIdUr&4L;1+_*B~pRReS9%E7oayR%DzKd-TrG_;e5UJ=|akKY}%(7<)9lSJ|6u7S5
zuy)JfbG-M+^U3b<<i69K#KGnLtZJ)%#<>)Si%H}us}hrV7TtJ_LptOhyr}4M!m=yz
zzDzh(rgu-2_!awI8XA57<Lzlq2&|<=Mx^c~u7K_Bg}v5g^Bk=b(uL#6W%J6=&<~IX
z@#oK5wq%@LE_?gWg-`}Ndoqn-O*YFb9mkqQL!$x*=PGGC-lhHC2HtkN{MyBR;_l6%
zedw+fSt?&Po+G@Px5dE66n*_YU{b}elMWAEnc3K~Gc$jbAu=;Dl9H0@R&#Q4?y;~m
zM{cW9g@y&jaUyzKBd{vIEq_+rnQ1yZk|;B3`tiPLtzSY(X_tS0f2j@Yo-CKMOCTKH
zcBZbsIm;jcW#E-*^qt_lgkm@|OK&DbD~rdqB9D`=y~!y&^I?ajxe?XHI+@7hjyMU^
z%)RrX9+cSVnwWt7EqnFci4vXr;x3HV>33<4CL7OtM(iPPEY%Iugx!9AHT|{w1CODy
zx~j5r?maQIsX#S*VT>35qtT~w_Y#k~=P9JgqT?d`<R`gS<hP~GhB+?Xhbga(ud<LM
zoMnmrv(Lj0u{iDI72Qfkjj)8>HH=Y3Ws;3Gtz>6Y5A}bF__q>Wnm1lNarK84Y{{!h
z)4<(1tBRWNAlt}udr{Psi%zXG3-V-vV9M`&>#6h74OZnZv^%9$G+w7%{md)4UyAUb
zgrDGI1vp9E4q36dJZA8}RYnI<5*xlahr65hVR8;vJ>d-$^Bx){>}v1-=3DPq@9?R@
zqwMU0NO-Y**00FF7@h{3_!u6(J5e%JnpX#zOK7}cL7uMAbft+<9vvM~3A?g$aB{vU
z{nD;uSCXoPpDKf&`i_GmCMwWwFmFAbL2k#(GL=L({d%8r$D0}lJ6feX*nOMU$lLDW
zSC{-#l$i7H@8bFCrPpWc`B>Md=^LAOaV#<;Pv`M=(nVZV@Ped1;?|_O#$5FszhDd6
zCMKyev=?-olW_D-haRJHr*WVV$5uLzxk!<1n1>)~JV!zQ(h4TB=(;MERP&2MMjYp`
z(1XCszWNzm%OnJuzxdS}qNbAX(ma?j?9T*~%vz1HE6MKlm9gXb?)(qCz-M2mLz`i1
z<LXeqv%;%Q{c0-W`@~eY&k*NFgACLgqrK;=2fYc64r2Bmj{2%3yT8fKwxoyr3a=hh
zMUhXs3l2YT!AwxZTWR?|ef5lZE={Ixucd8<*YU1=cJjd4#X;N5YLx%s%;cZ(v(^F`
zIZ4&!eNj|u?c&ipQQnx?qe*3`E);nXd9}HNw7Kw{c2-zJaX%!SHd4ue&c1Za4QUk>
zCmCO*Z0vJr+?Us{#|Q|F$}W)6sm#b}pdG7GzMlF>kLkV@dVx5K@%`2A77{0ZEmU!E
zb*2qO57sq%wQ?;Q)4&2b8Sg!utb!=T(HwLOO8EJ`+9_0JktmA!g0;SdbNB09Mcf8T
zPI~M8%#BBo-{za5xKN_3v;E<BG1pfPN3{-(bkp9O%Oh)wc)DA|+Dsy4-l*M3VgpqQ
zt51T?IezDPiu<a=WkVW^23buJzYl4lv~|-3*fZkS)Khu#RbhOnP}oGUwBA@#Q|mKH
zmJ7Yw_oYVm-Kbf8lpja57PIQ*w#LDr9#N#l!tb^j?J5HU0=0bQQUA;B`iS?Wyqpg-
z)HN^9y{~O6moHBCe%KWjp0&Df-l-Fp9&#TZ4jQ#*!G&&x_g6R%CzMrFPbWT(cT+%#
zZ@={!FAUa~5<0iNJiae=IO%_oGAEG0d4U?H;m2qgjP#hLqxH$nX>%9Zn4?nkUMDp5
z-w(MehcnwTS~DDKxnk@ktys(rMt+btz<t-~<C}h7I#MnrD&xaQH(Yn5b$Ohhu7yXB
zgcmL2Zq2KeC=I?#o|u?hUh3}7M5(LcXdpF&43VqB-}o3HrFHU+V)Qp7rC%`&|BQLd
zWobDVE0Hyg-N)`k-FLlD@v}bE2DQCAJ9;aDpl|Z2cV9-E%(E<#^$M$D4Q(l@SAidO
z;hKgM8p+lVJT>E-p426!vJ5{)ZV683K#g~J8<$8g%{75wLN7Lr&$jT0Cnkvl0+oM0
z;?*<%y++Vi?09`-Ka%reB|owF)`urgBuDerREI~@wr<m%c=vWk{FxaTJesV!NHIbj
z8t?S~diwqGH~t^pf*+xRQvuJ9yl+iO2Ery1Zjv2NMpXa)ijS3!ZDLW$N<M7gic}Zz
zGDae^A6vK|MEnlpfo}?|M@T%czooyN;=srdqKXqF8?{k`TARO~+KR_8`CeKJlye99
zX+d%Yyht67JD^t60&eazsaaJ6nG2$nY{VlGk}}P_Ali>hp*a<o$^OyAhVk31Ql@IT
z(E+o3@}c0=pg@>{d`xduf1;c=eUS6Q2fw)tj@I4n`jJB{Sc7mq2fIcIDFIjK+@AEE
z8>!x<SJzx!pI08?+joV3O{7kHEUz+JbVTu%=kCaDR_kjxe5smaFt5E;?%JRBAuiPE
zc4DVF7~SV*@85YeDk_aM1`BkMKAnh(#kxgrdnNWOGoh_`;%H3X(=$3PpF`K_2hQ16
zU?Yl7Bp^P1cNSGr^X~oU<hwgJlC61iOn-&TnwvGVKQoN0q<Xs1W|$I^n*CLU8$YB~
zE-LuCvpmU&J1VI^S!K%JWc<l>e`>D6rHhRyz0mUonv*H7B9y|=;$!V95mK8`+?rFZ
zQzch;FS}zSz2clD<@&&-?|C@cfM#H8G*iotmBokVuC=a=XB!7cF?Wvg1oicbJ9(HG
z@qah9%D@f2Fv)gBjYvy54E^x9E6-m=LXhrzXX=jCW3_u1X`lJMa(TN{a7f@yY>!m*
zzOh!IE^GXG{S5gHPcBg#8SJUdHoV!q@Xd9Whuh=X{<fk5kC_-P&F0KwC-ii8<a>M4
zGG%Qf`(<1zoAPp-{rT`7UBwKYWjgl=t(<4cmPt$U@#|?UlS_tF^1b7LJ$0396x;Qn
zd(p&iOSOBDzS%gE8|LG4?Rz;oTB;e<a>LXfJ(lp9#{pBjst)Ylzi=;66W<>L%Lp?I
z42&YITz{yED3Uu+@(H@zjS=3+jN#^q4H>KBue(}bCMxU@(|J+m8cYq(P^CD*#+4Vp
zB){_ZyC@e{fw^0^b=?T#aNMU0(TJFva*6V*xAsI@>q1FXiy!ZnC(azke^JTi&n(C@
z^T{`WUK?Cf+1=%sm}`L<O|uRMYiX(BJjyKCkJiwf#Bxby)Xkb5SfCrfnS;Y1<Gn@2
zBA7yLI^H1U>iwPRX-H)VHHi=z7DHHJJpBCZd{!!I<b&DgCAjLt_K}H*P(2w1hjFtU
zPvL$TpMyL<BY?h3zK@w4#qUMjSzB4c-jOlXV4jR1jq0|&TkTcl=lwbt)jMx5A1{}Z
zND|EpdONn(-%`fL(vGc#U>?xnvDBuxk62?o*dZ%y^0k935*`<4aeSr>wU(BQJ176n
z>ujPMCIM$GSYOY)o}?0+@DA@>zI0IHH#3i?7*zYu?k+DCB;a5@Db#hyu5~2Pv+f+P
znow$QUm?q>3V1N^%6zzk)!2)_;!uY33>8&OZ1KF#G@c^>u_to`3**VQ5=&6<57Kw8
z@G}*ky%q?sW><+AgIr|`a9HH!c7@~P$bVMsg0&@4o#=EeVqEPJUyjDazTW-_ca{2n
zvzUeDiIv;5@Trd4!gZZBn4%|I5yBsy_<Zj=(rM6v1|RU8?K@w)q`zgXfF|Z93*$Gx
zkuPj8@C#H<<6!9QeBUdWJVJ)~_GozS`1D|zJg?uMM&`v9+=``XYA7bjs!%S!l+=`r
zm(iIO7kY<xqFnp@9lqu0YhI1)=MfPtTV4u1-D{KDk$QyGj10dnDSefQcI#)`TYpOG
z=KbLCQn$A#%=_HY5x`l7{l!xT8Xt#~PSajFGiv<NNcS~sp;+JCj}=TJ-a)n0I>xN(
z;J~Qn!*_R$X#`~i6_<;OU*g_hY-w+8;xW<mQ}9Lj@NtNn{9cS+zS$BH8}<72{AJk8
zVsy5~1V^<a=io=Cff6hYb@{5Q6|JT92&$lpx8=ghvgce8F%z1DDwM{yNMeh3I!cBl
zsws?Z%I4<Tkb3}Jo4a?frc*Ks>E1YXTfdG?<@!B?*#D034$`UVITxk%M&U<)&Ouh+
zmMqrGo&Bg;w6rM|yw*s+9o6~zivEkg5q()2>f%7MScfFV5BrLoBIw$CxY)4BzZ;;}
z$<dO*#-3n8$(L!?$ljXS(plu&@`f+{tMnTOtc=#mU4H&9zguzjw!5>Q|0p}<*7vAi
z?kIAU^@6z2Pz5K)!!!fc?gxb8U#rrJ(G#oaZHR}e>ET}-q?fPDs;aI{(R{-t956P_
zO%7F4<X>Kbe6vX6=_*X#9&(Ngmmv@$d@fBM9vBtjcl>QmU^cfsP#rqocW&lh`>ye6
zL>^0?GV!&qrhVhI|AvCHTb18Jsr4ZA+tual>#W1I{!AB#tozuGhXq$QGBhl>xSTSF
z)~Og*wel=16>rwFp6~Yy7N!lVNK0P{|E|YUQqfvT$6HW1UqFemK6v5x7`L<ozxfa8
z$xq2k|D)BVHZk9;<C@(WL5*~Ih2;(YZ%n%ICpRp}DcT`Tix}MB?>$Aaruv<zl{C22
zF0C$~kKbj<^A_FLJ3W0OcX~d%3{|SFJ$wByIr*?`F{OxnqmgcSRZ)6Lns%>T$7HWh
zLb8pg>5YQcnx@uhDP3ft`Y#cBh(+(Q()60<hSm|2ptk>K>-B-%^Eu~JWy_?bGlGxS
z%hLs_D`bP69Stw$bak8BqMN2YI%PE<mSr(6`o8NT&u3v|<UtF)UJp?lkNW+r>liIM
znr%vi(Ie81mWY|FkKgvPCLdzq8OyxB6CQq-MV7yE{ipqO)-0jO*D^Sy^$q+5Sz<5t
z$*REmdf&4d^*JM1WUYKT(Jl-&Ap#mEs7k%;mwo+}WD5#~cWk8l-JP=dtgz&c6(x4Z
zX!l^d9<8fz@SX-3;L|@<%jLkmEAPg?%WyqUr%ElP=5Nh$7Y@lUeyLP6?OWqB)X6f?
zX^Fp_pZ+T5>0G07OqtFO#&hYR8MKm~B%E>%yRsQI!~=e8RP7w*^{7nbEgnjip_LDJ
zXV>o_elJ!$8E2d2S;xTYLP_=FP_E5}C1IA{O;Bk3Szq>%L4f{w$SXlxV=s)zVRgm0
zxR!I?+G&YKzpK?$Kd)DwfX+|?Sk;W4c=sp4SsCK0&d1PUDZ5UuIwcp*a^!HmGE0eA
zUYtm%Jod^ktPf~q5S&erfP1SR3GId%Y!(@b6*)@tl4jvM!i%~U`Gb-rySj!P7@$*6
zzrqVXrAL(+);BOc2P{q$P!L_8i&Y|gK72cTJHUMDKHJYayzlgIPsd?7W+hg+3-vr|
z2C+tAi4!nge>8c0ApXnW_~97LRnRtqBSA)gcv*p`$+<po^^3Z)_sA&TPWI;%PT9BN
zm_>4-A4o}rsDbsNUOsta{0ZT;-bk<XOi@z^U$dS*8(~@Tt=m{O%BT=VCz4ff!T#b!
z(?<q)SamSd5S)AVt`Qt!bLq7xjSAx-nsJe>a>}}+^IVVlGpwx;DDIb4x`t{oFKylH
z&3PBhSMGWZK17DJ%7ip07+E8E0-aqDon^l3IAj(cd_BE_euk61D?{qp%GS8yE>`h8
zsC1|SQuO3vLeFGbei6ma{z!YV3+0DT@SY&feY3^a8wS&$IvJDT)GfECbDZ^ka`MIs
z!=mSN2>cwinVxSw>e51ewuMyZ4jg=_=a><pR8Wf1)}JwZrFC6ZZXR)dJpXZn;#FYC
zY|RwofnGQ>8&<D4G4S}IdAZMV@5wyZ|CQO1n<SzwF3$O=l~seWhC@fyF10|>O;ZD#
zlH>Bqdj(Kig^za2Lna@-|0K(B<QHuf0vEroy%Iu(v}YE`vt8`Izjm2j2SnR7&nr#e
z!W`z)Wb5_|<7?|F!C~YRuaH@u28hpL^xhFb{<zqN^>-OoQ{K{US#xS~cW;($*5Iv-
z6_D2Q!%bL*oZZl$3;GBYo5sxwI0@14lec2Cel&H44t1}W<#$3k5k91l?`PJv4Mv(B
zj6)hR*8FiZJK4F-Pl<6MM&62%3sa6#Z_f#ze=AStNLbk@Is(wd*4g<TK``zBfmXPH
z65j@;3!n=R!QP49Fy4V@rOq?6G6<8`iD}UH1!A2&>#`{eN?;?S3cuLUK5Iw9X&JtG
zLiN(S=oz}5-8FL$JP*1wB~Whz{4ai;h-v%?-O;czi4oxZO7>5`EBz7YD`Q-Sa3u~R
zw%XHHhNH=p6okK)V$B=Q(x2lheWSlau8NW|5hq!~t!$3ZhbmrQG0|qqxE^-+zQK(3
zTdXZNE*N0Rd`D43Lj}m2>*6LQ=~whv=}&J=8IHX)b7m)F+o&=2t3~w+3ANzxXm)N$
z2|4||{(>p{F+4AEqzomlO@LHN-L0-Qm>(s^dKc@LJw8^JB`F><ZtMJQW-Y#x#sAvk
z9YyvNrhwXE6KQFHi3Py!?%+HVVJjky#ggR;|A24Jmo0l9_4OnYlTP%_)um4%sVzVJ
z0jp+Dzk}c6Y#xrdLcH`H$Z06wy5Pi;1%kphmbLv|Ht2PB4285bIXx~^pbz=o?^NLu
z*rv`Lez>L<hm2+ehQm0{Y*VL4ZmjjvgBX)vU6JkcFH5Q_+bFF2x7*3A1{^BeyS+Ha
zG}HqES9Ns>!eMPzV2^R_hAH%p8gJH&4hLQP2?;gr_~kd6W>{+`2@vMuSM~^Z`e2q@
z%uCK4PX-FkYV0J^T8Gq><uGTstggxUWW6|x5U3Rz+A(4oIDo<A7=R)OlDEbgQs_6o
zT)tziOf~F$+zZ9B=q1`g<S8crf|m`mxp_X#d)D`dog_p(ze7CbreCEZ(P|e)4^$s2
zlX6%j&nOUUK)c~lM!N1PEuDkbUg6emR?th0#%Yh|T3jC{$Z%DZS;S6EmUcGlwLkF;
zYm6rI|FA<2x>#VQ$KNrz@)_Uhg~mpC9sT^7E6+$2XJEVH!O;1y4&rc|j%H7^wxZiQ
zT?sp>sCZK_!w$2CEAYte4-a4hxW2ce!Q&zCP!*RZFTXToT<|~waqz{T{`&&{DV1Wm
zCL?3M`J6dfcFt4?S$9cWs8+$!ilbJvmDdsec0E0!{|+MVP3DFxhV#&3X?=j0_bUjw
z4rD}5R6&TGva?rs>OoV3sLB4TxviRIb1s=u7%Vju3{sT-n&pp|eJ#sjXtB<XICh%v
zI}y})#F(Q-n_Km&^D1J2sLL+imezBnqwmvA?{Fj(Bc_yFyU2AK<b^(PP-bOKh{K-C
zg}@jG@6XV^*?|{Dy#K=6v%6xmwDjBWb8AAp!xGH}Hmjg)R)yM1&C(Ji?9Muax@Io2
zrs<si(Y?3H)=iM49G_v$CYFS@?h9N(%o*R&dh4F${TXBDimAeJl<*$cvWW)w?=@aQ
z4#|#g{1DjBR+99m=lh*~*Ben3ydf1{*{r`l(nRH*L}q>92qTfVE4f0-)Vq7;dsS34
zq@2dZdtnKc_%uJPX`@X}6Cun0ES1wpdFMV0V<_;6?+|E4)4;YUoeKtVWo}lBxUWSi
z`2zJ;pt&<MBc3w-Opj$sk?`p3=qJGpZF03yM<9B*W?^XarlAw1SpiS_`y$+WJ@fcJ
z{;jF3c5Qr1^<OGoOMPR_Z{VDt;qb9-Szr-g-SXi&{_`y}O6X{4ZMOBL)q9nj)qn#0
zfpb-s?qRg%3)A4N))0}SX>X4X)Gub1|8%>X+{DP}4~hu{M>s%NCmY2NAM^9~H%5VP
zX3Ef6+q~DlZ8w44l}zE)tWofw+Oem*hv@n){E7v<yiR^k+YN*d?tuN#?7YzevnHmW
zJ<|v8X#}cz34iseJwq_~i|%jCdkwn4Kg`@Ddlj?a$%EH;$8JweMEVKNn@V^X49qrw
z3$d(0(3Qi%Y=4GfdQsWPx7Vq$ObJ2fcONy0Y-HevBTrl2*34-eg%o>zxAwAM>zn&9
z^W*(%6KsfVR4}rdRW+}UZ(a$*S(B1P)%GvUdDwZ2N|E9emo55<dY76*;Yq3C3~hQZ
zbg=Q5DT<2iDPClCVhO!HpV+GYiOa4Dhy^%E9xt_LmX*BtTv#gS^sknFoE^2OKaT#B
zNZZy$FP7=-GxL_|%<s*PU7pw50+W)jDv`FflXrB*i`mafh%MlaWF*l-U>)*mVmLkt
z2$L$ldvq^9dt+mXe`Diae!k@LiGiEus~zvlqaPTQx6h2aux;S9lyT{oT@w`ydjlir
zrI05F4Om!6Asa+pymu4l-LcGDPVk76RXD>!!!Bbp`Cq(fQJBCZI_w?PZJfD4eE!^~
zX%}_}I7cRmaf?|M4(S)Z)gPnj85u*x5^md>iiP_oCntZ3j}HbRik!SW8D9i|55I35
zZ6+9Vqt4bR1-}Pt8K(I`$ikqSnmBkjWPE*>DNf&lK9<!Qw5WT^pwzTh6djf1W0)jZ
zSe$d-v=Rx?9d{bz@~jI0&+6qpRz}9vN9UK_jJW{G3eA7(y~}nQOmi|c(m|5YpWRJ~
zGh85(Z@_Ib#6GSpmMLjDj404@qZ7vNN?m8T)t$_e;7Cc{W>t*GpwVcoulxoyw+SFb
zB8N`jpQ#73{Ft(e2HY+;e<H!~4?;pi&D6OUkms+~BiuIMohPLhmnJQHhtD7iFrg3E
zFdBZS7^Vp}=6=0>GKY1knjx+H=9sR%!i+Bp1`B`O+G+-mz~T22;+I%Ui@^%wkTnf9
zBD#GK>kA3f61##)z(J8QMz7dvdWM0<tJJT>kM(J|96fzN<mwfySfAf6c}k-EAv0eq
zM--4;MzrK+#={wevWzJZxy@5XPm|w-nw)v9WzGp?UnEl+WA7haYR5*<Z;6{_XVt(r
z`(+~%zOOEOh806k?(Oci0zX4mi?U0}!nzQIB9G91eHSb$sT)r!B=1IEnTongpwEFv
zOL(-Mdfr<sq5I*Db65#;y@{Dd3p4SXT1kbuGSbo`Ky5$fWrA89f4j*tz?c|#`0f!?
zAch{Z@ou2PuBO72ruP|_t{Jj%k2Gv99tO+$+wBh3H-V}J-FV&XJP9J_N`L}jYWL_T
z`1$0?Vbm}|pV=Ocu@<g@V_@pfx;ab-?r>}6^x+}|lYYNFrd6B{b`7xFSXmKo*D^o;
z2EiQZ1a3oVJ-y`Z$KJ<(NXS@U-ZrdrC84IKUijj@P0||0K)mS-JZv0D|JWGSdn1Cq
zlSRq4n+%uf&0*&I0+KiG1NRx0!|XW?;GjY83_`Nlkds04c$>m(TKK+J$-s`si;&wi
z0tM&Msa#PCN?ItXBjkkG8}at`8RW_e+&`i5vZVGrDxZ+%gHEN~WjzyPR$Jobl|7i2
z)=0WvZli`DCmk9MQAcEKN^?L7wU(Q=su&tZ#Bpk8H8jw=toBsZ=3i;l3MT7p37HFc
zj&yY}+O;1w1vVuZZ!{X~Qa^IexjO9+HwsGTD1xhLv-)oo{#K&big*RqEy5Q6x0ywA
zC`BC;v`D+`&Wjf>vXDq*m0f!b3nM?jCZC{S3evAw*5||RtO7az4_O6m*WU?gmTssr
zXJgomZZx*mxy_hMM&#Wf5w+&?uHJ)bs>STJsebP|ROQE~*tlA3@A4%fQC*sthAFf2
z^YcFi5v~4ukDZZf5Xj}@=Lb6us{UnkYAQT0kF_yfhm$A4yNk={769&zt1q3(r#LOo
zTu*fjXlJ|=+e>cpCua#-AFgFLRgJ=D1*cx4G85Z_9&ll!qmwiOT;;JJYk^{Be_WZ;
zl#fKt@T_6<oi!klMxHYlrw7sT@grxkadEF-Tsu228SyqZ|M2elZFcaC7elIGPVQ(~
z)GqmDyq3^<&RR?;RxdxVrj{nldCrmDVhfnC6*xCz*6-V+O{+8BJ3*bxPcFu*?NV}m
z6ZviK0QvYEOSM@)Uk@2xd7p_HtnwqeKf%THzGJW0+0J<fXY`I-afi?o_>(fw-7kK3
zsf0CVT>Owuxu~}b|IzZspIM&+LgeMK{x9=0)J~LAns61Ahli(i#}6gqgPQj6YwZRR
zIfuqe0Re}ZsflWDl>On(?BCFMkI0Uwx^JkPn>(+DX1}2AR|`S2C|RZQTeMUc%|-Bd
z`ypk-nV|(or?+Uob}nkGOlw67Hiu-x&z=<{A$eY^sA1XL)+P~b9h>+l;x0cvvG~O!
z<kgu?s&mH!NC3ah$UT033J_k`dO7opV`AlfAdU>vO|PyyKf;-(H0@fb-ah;mx13!f
z&yX0qG)ZiysqN=yhC^lVVRrNp0NaU|k-gf+zCqn7f{R6E$e$r(Y+pSOENo{QsAsQd
zYxYj|7M(_PE$8F)?SHVP`@Hj*^`*StW4I2q8qB-T!ot#nAnq2#5FRi~v51G$(2-fc
zxM+#^F{+?M#9d%5;K4G{K#6E-r;Pm=0%M0gwCOU-C@7GF+&I%+{bp2KTB>B=KK?pO
zA%UAwOw90QI#g_%hHB&Sw?Gr-(OXpp!b6W`6c&zpa6agKy;ny_V2&8SpAbeyA{0Bm
zv-4faEhrmov*r82&(4mw!iM4Rly3fH|Jd?}FOHsfP$n}{l|sY!+Lu~>Euxf<uPtZw
z!smL5;u}g$jnt=9SMTR;NlnMOocw;U*h_j~9mJdz?UkgpSOsZV4v^=i!uLXtCngg7
z3(QAKV%1FoV`6}}CAB?7dtw}B^rS-7(Gq9&gK0qfFThQ_IzF%OUOK77gOemA-*s7L
z4NuhNwzClOHbF*?q%+Abt%L?*9=z#_?}70@yvO_P))xR|0T_!o#3ZnL@RrN{i2vJO
zdjDg4!QEDI-1KY~+F7>*Vd~l}Nv)vkvTOWnqe>S}js`mmL216&K1Bfat$2l?TXCH@
zhns9zp-m48<j_qROspjuAudqMFXZ<bC^klk$ErHLFF;@y1dUY;OZ>#Mz1uqvzSO@8
z;d;KeX`GV6p&r4_GC}GN-~laQy80vOeh598;8SD#vr&XY8tB{An-E1o0RpM_(l>F$
zCfefr5gHoU>H3C*pW~BLIBdd>%Ca78J(HI1UxY<PRQlQ+%DA_LhxoXu7q8)vBA?5p
zd-q&au`0&6wTEv%uY&ac35Llu_Da9<7!V{O!9l+y$wJvG0wOAzb1e~1{8zSWx{Ws{
zY@}v8KioXq0^_w+I4WC+I|O6C0u)5oOH5}zYn#{6J&qjpHiwuYrw4&ayb&I9&~w}C
z)!N#MfH&+xLHlD(F5t^PkIavDc(o=LDrreny?^`qVE)dQD`ZV3yoDiDMXs~M88bln
zmr-h>G={v#!}?}f6g7OjH{L*9P>hX_--RQF<luPMYv<4`YOeYz4h9<nd@Aqm&D&*7
zY!eqzI$Cd0hE}hoX(IYJEuRN<%_lv&e<4wT;NU#ieqwiswidfpAsc^~o6U5O&yLQv
zG&SdOpkACMkR4JFyE9HUS+Tp>HPQ%phY!O<(VGsJ+W=;wNe+RC;S!qNOVrh%uEmCJ
z&=appKW`(Wx0f0vl~2CO6R7a0mKA)pTw<G8mn=#ew+w;7ihnIx(41^@i<(LAa{q!4
zYs_<X_OwR}i6KKnf2Oaf{l|-VN^x=XM^X-gt192acu7ctegdcwIH;2xe`kDqZ>*7P
z@(r2TuzXRb)Ur@j)!C|bpuAVzmG>R;#2sTJ`bSP#sjMka`=<&h(0eeNI(4HWafUBG
zFBj*e+hOUAT;(Z4Rn-+|9puz!g6~?Df%nA_Pa~I&z3*u*?Yh;Q8%ELCZTGB(;d8Iv
z*a<6>S$ozyF!J3V*U;t4BM5;NT%r*NVmindab9{$&)GSv^ZHTjlr3wB@S{h<tF%W@
zC<TSYYLA4=H~(|gESAd(1dlk_Xof!V#&mtnl@lNhN3A&PpSo1hkf{1N!8^@>m(uyL
zrS-R2b8OPmib~4bI*v@H0MD&kUVOk;R2HZ6%3*VK&Ch&xJ*J}m+Rl`6RW1*3r|i{e
zLT&O^pBxtw(#<URQ9es+cmtp7zG-k$D!nG7>s&$9cv=RTC#7Zfusuk|VgODKZ^s_S
zD<Z}3oMjpvoy);NVU(S%O@=8_5upW`+2U9I-jQEom5=@H1yoc^?s;E%CW-LbCHvg6
zl;)Z_>d`Q(nuq`p>Q`C{)^D#>3xpa@0PXYI9q3%<$1J}v*jWzf!WQ?RJqSO4)6poN
zvBS<xn}QZLtBh>LxM|kTG*(-5S_s+uN$nD|QeqNSuCK42e<)_xou_%p%!1)DOE~4G
zy_?`_SMpMgUQF0MTOzukBo3oDQ>tmH{mQuO^=oIA<dxIa>~yt(qT$zCmATMA<YD&!
zv;_oJ$S2LJI!TJ@aLvH}H#oQg61$X@Ntjvg#YWa)LE_mr_W_p?5vcs(54+mkr~G7{
znA!cuMam4iv79PT)t|UW*cR)vc~}v-Hd9DgJ-{MhWMq2`F#VE6%6gpUqlx#eO2Bu;
z6AL(HHW1O~S!XfFYMOL#seMX9vJS+7X&CpNWoo8>gQoEmTv+ElZec>HP3NH0a9_nY
zE$umuDhUH_C28qEpc&+<0!?b{%O5<l4(@050*Z9X<;Uuq&cSZmrhL6Dd(9GVyPYqb
zrG5Tsoy{SzHcBi88fv?HIz~jrIv56?xjvPQ<>Os^L;K5DWyJJc`BPm=riG!Y$=x*}
zui#x<@j_x=KW~1A{UfDJ*@W0(Vao%1H8U|$&CTWh*D8Z5Ue8*q?Pe(SWLD4M@K7JD
zpK|#fS%lz~Hfqqloa#FOLgI>`rrGkHDl6~-9}lwEwxkNI*t0XF-0XFe{Jc#~*Ypgd
z5Buf#FcJ*Ambd{348lIOvb80LNSm9Rca`dDFn=)MS-w`+U^e!@aJn3&<cZX!)LULT
zYm~JwMOA4Q9iEq4$N5}ZiVynx_RyZ6jm1}uo&)WUZPD0R8>Jkev$L2zkuCep^u14|
z3j;&8;$isloX{%m+_&C$Wgb03P5J2)qpj627EYj4ntgppKUhc6D{98oc5IZt;v;;`
zXXtt~d^TFY!Qp*QRq*g7L%G}o5>+#kIrH-V><Hu0c<YbwVtYYE=>EY<doBuD=N7xQ
zN7^%hdK=pO#2@&M^!as|I;s_nUx^Y}jgG#D7v$CXblP(1<2LLC)2@eD_6?5YMd{=K
zT3Z-&S!8UCt(Ai(L0wi;QzDAqnO}Qn=FE6vFK0q(wMQgS{Ib0f)2rCUi_w(N_cJUo
zs+vK~yTg!?(c0$e0$I}rWA5wMGZhqiw^h|h4{Ac%h6<fK*gs1b2F#4e0Q$8}_@%v)
z1YFOMUfFime7df!w6H_!rt1RsR~O5Z(I|d|A^{$8Jkzs~)HM)**!zVJ+v^#Y<1-#|
zG=7xg`9vk~($Ip5<fK%RMpS2;FKsQP2ly}Iw|s10X%unl&4;s6KfER~=s`MV`zJ-@
zFxRTt9jvUK({cs{J+ZU^d4ld*mTZh!65xfblF&Mok;CqyK6ueWHnxlFnrKQ&wkW{w
zczj>%>TL8kjp{s92q+tnbxL!h^h|6YCRl#jFKeDKW^2LMZoBM)Aj#}bdGBGTltV(X
z9Sia}Er2c2nIr!UNcPC9-yG%R1^e|aT?H^}Y4(0u4V|<!7_18{++)N8cEw_CSu1t5
z%@I$|#&djr4l_Q+9AVUZ;;eNi+p3_AKVVqKX#PPEC%4?p?eipIICXZqAi1>$^H6ZW
zdpx|xYCHXfmmV1N!zUo?b=4GzLlbC~i!9}rDIW)^we*`mI+vqluj_z+%TB&MMcV{V
zOA(_NDsdZl(G<<(oWnLF!m#-m&eoh318|~hxt8`jr~0j%u0CNQGW&jTFEt7ZXO5SX
z%qp=rZvNJrWqk?rHwI0WKi;*HHPglG61*?sNd9KmWNsmhEW0nyVK$!2wAqD`@kvWz
zDMX9%0ZsrQCoa8ev7D8ZY)jYo+7R!2u;S%HLpE@P0!0|HLLMWU3k4Y&2foT#z2iV<
zdO`pPi{9I{_FNkQ>klnQ3A_S+%e_%LL<E5k?}52h1u1mSx&D(KaTQ{E<po%I_{@jQ
zKO@_wN|FHo)C{C$b9A$&m65HvtEW4&05hcN(wp>tCiR?sH<(Z8$_e(@C$0I_T1pN$
z6JPIF*Fr@+WRM0%RjGy!x!PHBOGvQ)#r{DYCd*K$vM2_Z!P=~m2KMI!@2C)q2VTXG
zKHd8p)K>mbe8UF>!3Wgt?Fw!=V;K9gyie8Pe$ECMxVxnr^0)Qe+!4EKH-sKi==?zB
z;(R|E8Pl`}cNs&_j4}M1O;M>?IXMsrnB-zl_npD`Bs^RJZpue4d4dUSyHuPUHDn;+
znNAjn0KA7Ad$*0r8S9r07y1KPeTiT>J2VX`D4Mov@EY?TT1L4)5C(l$FBkR(s~DIq
zdt_V$j|q%2q?iI&B{fvtP~fhZUZWUK?~ETvSr(!IBE7uSMo8dGLD6hKY61H7q@}6V
zVtM&VzU7|TX~EV+>KX?}K%x3F6L47do0nD~S|c0QMH)x-pv$B<9`^R{Md?kZ>wZs^
z*Jk|`U&B~(iM#-CO8<8g+q2Jc7{2G2=s15x#aon|9zw4XQ8DoM)6JM5bLvxDRUPZg
zJ_jE5uQd!H{kgo46*IlAPWbcZ&l$#zerp4{1h}`T0??Vx!0SH{vG0t3NG0aQC+x8u
zUR=y2dOT+CwBhuYv{p;oG_z}cFD`|15{z>qS)e>{zS?fGZ(!hEu0n#@TvOm!og1gT
zf`Zdh8wr=e_uBz4t?!EaiE`I2k&2%G`F3(Rs0?8F^<6Qq!=}#<)E9j4jH;?Yj;*sY
zgB^9fkyx2Dd{|SH#l?$*b6Jk~J>cT3izfcSOK}M9m;hGbWL5n7CPb&=)lG}uFA-;F
zUalKMHzAHY2-HHi;OuYEm6yh&AZ@Lx%30_H1emL{7<ZhHE1n1;+!j96XlcKA(KQ1c
zlLEtUwwl_8hID{r5xQ7c_WwCjqMyC-iVwKb{eX!WSp{UlcMyoxe@_o->+Nkl-kNk;
z>$|_~_OJYGGMnb+CKw6u8z99753m>|aE095oI#s(=sq)Ye&8RjvY!?vzjJ5dBZJ>3
zHjlM{<<5jf?Z&e>mNfP8S{Jr2UK@oYR@{(+vNG95zsrlrO^`glX(Q%+JcJkle8FB5
z7O~FA=!72iT)`W+I>^WdXtzR7hY9Mk()A-Z!6?)hL>&P+^W4hnf#3D{tn9@KYQ~$#
zfIDGcd5&)w>3goCq7txKT2GXln@iGIV=+>!`^MJR_Hw-5!(nLju*wgyw^?2~7zgvl
z0NLy;p<iWus_mykH#V$OLEj*+zH|@dD(r35%q}d&DifV|=PRd2E-aY+r3YruRxi&{
z=6}Y@+q%1(D_(bAM0R#{NlQt+H%>Vg<>giPy!`x`93)nM7<W0)2zn7XHo6YH2JSFr
zdCd5Si=U~%?kW3<nGSfDoc#P6=*~nHXPxW%yOx#~7-o8S_^ns3UL^{<&mw)PMBKT8
z32A~UIJNFQX!rkWJyf8YDCR8?$sisH^5`)kU|8?}{IOl;OQ5U#nS&fO1aYhMEAq(<
z*(ypEKWKh0*g$-yJeK}|!}v?WH00*uF!<~S8fP6)Xd95E%v`2}sWk0Me7rVU!*hq*
z0Oo)^%{$_^<6F&3vHyuhEE*6KL)w)pM5bS3-%O?~8rU30*;>gH&CY|Drx<%G>ghS6
zVJ<j907I7{M3av=A2+GqnI@<+c<Qtut&xVWVPq899?Q0gT$#Lls9$X|QE63BQu5r(
zOW5yxa@K66E6Eh0t^ZJMW3Nq(GSC}ic=$1>t;jm={e$vInQm?6u;bsw_)dvdBnf~O
z5GZ$X@y^&9n<}Do+|9V|=`L4OV|4Ly-~L<=b;$t*5pBjgo#TRb6CVIsw_(3OIyMFa
ze=Wo+Lql{|CkX7YeytA%w#P0n!bmE_MnD>17Zt7;Pzzo^@qOq4>I$b3RPwm-;Ne5U
z1S78pcer$Jf9t8jlcAwH+x}a2F+#w(d%F9J*l9UVo5MK$sS_i}@Xy}X@Fum!`UU6k
zJ_GKuv?(t1{CG<WwLKkI=CL_Kh(|;Vt5e?!>BkM0_~T&@*a*fdAOK*gZD)~&r)OaA
zUI;v8-oXv_GDElk*Nudlz((kNsXeybWmTzoG^vq9(gY;cQ1QLFtp!qr29+k-;md!(
zPS-1vC7!F_DV}Wm1jZi1HQs7DT53ooU`ti;?b~DDGuKy^mRO&d#6aD_Q{=_Ig6-6I
z5-dET@GGK)oQFG$07ooo#Q$03HEDu0Twk5Db91*43Qj>1I*03A_H`}Of&c+kxt@Wp
zG?}RRD)@*N>hl!6Q2?K04%Fps$$KIqG*ZF0%Cr2zxTPPHxz8Pd!V%NsKjUvtmlM#6
z10vD;Ma=0Jp&)Q~=q01*#muH<!31O_-r(F7db@j1CgN@odONSAIJ6{Lez^%bxj5)m
z1!6-CJ%J1l53h}X%V$Xg*))uyGCG014W0*mh3ag7CaMTPX$O&)9mr8m6m+1!!(&7{
zs8lUTPyE#!@6j8TKMD#O8jvDwEHYL|P*6ES0Bu_+N1#w3;H*H<smKo@5*8M$^xl6S
zH|(|0Jl-_$*3iN|+#(34VPoj*F!R^~vB?E#lXlY6wr&!j@-KoYPH3MxLM+pLtM`vw
zdW7&mioU7`9I^j4;DLHT{GHPVwDHv%r!NV`zxP#7&aKK8ZG|5cH?fI{(Yd*~b&PuK
z%tRO=yq-_yyW6x9IrL=<Ibn{~@}Ak08I{Z$=~7=-p>0bT5Dvi7c6||}0h3JNRZ?3^
z4K&{~@Y5wcI&<qTHZ#seOKdEL-6m5Mo=y#S1xW@vTlmxo>=VzRDwl7qi$8Yfe?`Z{
zyaPm@>F(T*+mdr(Jjf>AUeWg}D;8)m(ACw|Iv!Wk+L<!YV$H8nO8xY#cOX~dMTqTa
z-VZ>Bz3zPF{d9l-BER0*MfVb*hg5KtA|SOVS=fyOFtLac!xTeqN^ZoVnkc9wvh!QD
z5Run<E9&fJGbd3C?_7)y=|K*fw6{wb8lDsZu4U;^>lp?*`WNk@bLZp@5uNY{IuUmW
z1eb_*%--31LAA(cTDZ1Dq0G07O21A*T6!o?SFNa18;H+iv)?c|Wi|%AZRI(bG7W<$
zI^^}#ltnO>f66{-5TxCu+tiAe&rG3r!8#-TUgj9b0}K#IaRDi;e_ej&+chZ|XcZOr
zbQq)p{m<o7=}%#Kd^lk1J&z2G>h9=R;_m(zr~pm02>~y!ZE<g85p!v=q{ev(t!lUd
zw68S(c)i^fz@=5^V(D{+-cNksYEE3<Zu0;+_|7pv%S`ck_ki^BY){$p{_`i`6r7s=
z-rxICSn8gag_$U<2_*&H6OTNpWb*WsaI3mFh+&bi=T_0An1!Nk6lvrM^QSj5HXIxc
z&!Y0`l9|Lo^GK=_X4qdj6;k7M%JQL)90vI)oSfM^G(g_He>AnS>iL#}Jb7Wma;lP~
zN6#7&8TT%b;7e87pr3R4={CP%|J;1Q^%*cq&MvP-z}H>?f8dTzy27G<KBrbTzoupr
zT(hatYCk#zpj+vy?|^^tI;!Q<OXIeyZ1Je$9OzH}DH*vB#1Eawlc<%hz;m)!GWc(B
zh7xS~F*FBM0v!d+ED3#tQ5tvT2zWymP^E-En=Watq>f8BHeJEzo3XGMQoced!5A*k
zVO600|4-`i{-eO{f2xd2@f2;UbK8#w3;72icUF4hN9MSFH9U{(Q+>EN!#v8sjnp8}
z3xKkrz5zi5fq*g_8DQkBcKN%|P%s-Sdl2<Jh$MES`@)CfF+fX5AEW(ZI+2EK(ZHD4
zz(B06Ewp^af>82U#xseS9tR;IYMnZA$NH@ufUl#~|HhaJx%64F=p=BTp{B5ghA~)J
zoVGwcUG$<W%mXhqBL};!H{nzi3lA>q2_W%sQQ%FofS;1y=W;->u)%^YxYH=xEH48y
zx!<c052>w{(2NuFMaSatmE2fBt|w3_g{ARZpnK#Zw|o}vIigm8L_`%8SC%P*i|9N%
zi`TDz)C(#nX87Aa3q+t_w%(a|Ip@+$p`D?e4qcn7<y8_p(wK7Yd^pzV-#GhNzuNZ4
zT7NdWR`3-_n=Nmp4^wwIvPz-G-JTJ3E%*zHJFzXn0_)iD2KJ7Xo9}gSmYDz(cyf?_
z9d20fK0jeoX6K72EWEkc8YK&mO}W(|E0@k!i2unihOf5c6;F>R(q}A!C$_u)o2Zqq
zl1i2(N-lVxZ`JID8DC&_cXzLil{3Y2>AoBPW|@sd(t~0#Ovn^aNN+*4O}X8qz~HEz
zwY8+4-dzA`qd{rmAk-UZrB1<<7fSKoXO2u#pr>s~|3vzbMD(ICVCrwy*4Coig=FOA
z;ZhpCHMQx(f}Eb7jv;+TfTqf6&~kC%1tIYZzhctwN%uV*fDy0IPQmxF=t&KURT91l
zq9;#~XB(UiM<e<rWy7PR*+AF(wc7M<Zf?enrv6*qVe$IK^@9h|Oro13PAIfHRNu_M
zTMO{(ymRd>f1mt9i>|~#V6dqGw5N}WjeTr2z$`7IE@(5t#U~(8ef0+vGfqt6w{PLL
zgwM;NWo~+*&gI~6eNffF!1nFS>#Ixs>(nn_B0;@hs#6Q~(}OPF=(xBb|BFQiDt>G7
zC%nA<eSLEtrT+!2O8b!k`53bJ&A;0Y;!!d(GSaKn7skPkVB8Rs{{)^h$*6A@-FE@5
z$hPeLQojBOY|bhxJI2=4U&P|S2bIMm(AWUzY@K@dhxQG7GPkH6L9%5cz!JF*Dy|I`
zlF7@<?~Yrh&!dY>(TK8s2Px8nKs%e#{lGUXHLPDa8Z~ZhrZf%**cSL{bHMWv0{Op<
zRZ8jr&(9-JGrzW{>mS>WJpwT$IuM9$M*CA!-e4}}$?e=37>aaiqrk+F=w=)K1v%2>
zH~-)2c>i~L1GM+QEdUOA|F7~^pb6GNA@Ea0BYIGQdfo8q=BE?_4bA47zZ>oc2?LF$
z#@qMwif;U}erOE@XnC0;?adl(El@WEK9LXVI<nE`n*jgM7T$ko3e|siHru>j+E?pp
z#&xY17Jp_EyXA#$=2sIN5k3L+F3_OOSow9}(!Z4_mnXGi0cw^3poumkwBFc*@LE9r
z%~1{oH*|qb%P79JHi)P5{q`HHXuF3GoBn0nl>V#A1Eg90r7wCu{^tCY{}SmSV;7>P
zdfGR01v>CI@s$w3lJ$%D*x0~a1&o@>E40-@d;ejz(@hnxpY&n8y6xI4CSgdYqDDGe
zioQwYVPF01#m!IYJO`e*L`&>o$y6KAF_Ovd0AOI*XZ|;~`v1E!`~PZ1e?J4c8g6hO
zW-z|<zlxZZhq$0L-ruMKyR91s4quo=<GB1e5YYNB*4G^v_w0WR?$-ZUxqftL3kT=;
z7}R;Avv<b|zN)Moo^*7_p|$cWF;>CJVz~Uup@vpRH2q)S1C0@4L-CUqW4{oAiZbVk
zuxIF9jR5a9dEBfIRu~7%_@|YYA#DAj>8RraV4%@AL0a$!!(X|8zWa+Z9uJec6DCvu
zQ!@^dTbmE#zuJ8N3}9QE5fGlh9nxbX1R(Qj(U;iiLDM;3KLrw@C)^30QT6|;kbDI*
z9e~MObi(A^2?QyE4#(bh|1*2Cx6TaKnk7eo^5o(Q)!1s4pLS<xW@zZc-ePOE!z^;F
z(uxfDSpnh~^TayUwz{-lFTjXG3KZjt->#;4>;kAc-|K(HJL9=Z*EnkAwa!8-;(iMh
znak!Yr8yptTbduNbn8^UA<280M4C?z#;?j~1#&nD2?^OBK5Qo7X$Sx+1s7qYuKphU
z=Qc1G)^?r$PHd$7tMD9rcS}9x2FSTUJ3@9f)4}t<K5o*h8ykbHaPRXftACXFmw!{{
zW}{9(H00Tx2z|B@D5LKN+`rQ8CadQQ^S}HAFF&>!DNaP0{yY89HH$s~fK<xB#V7CI
zScRx6o6#&_dmcP^;8#Y-0Hqb2_2JbjH3;eIddbJfcY-Jt>+R~&FcJq*`L#OG(;+A@
z8~>rI+ZMn0?7t8_?2{_#MS*h$fb-CBvENB0<jnl<y8FM728Vyf2a{<4FwGLkRV?1v
z7|f5FJ+Pmy!+-!j3{o>m2>HIAm$D0}n2ekpY+lQr-+(CE`%R{7vbWG&jY1z5K#HEM
zE;$8-U%>i)M0*-zUrptdm0PE3UH%FhOt1FCZN`~2Ic7ygMev-Ixj7R!%V2Su4oupU
zA7~$6rw5It$O-<J2Q2(wZR4@x|Af)#y_1uL+1B-+=LPI-Q-FQ*4XBrAMqh5Z-o1M<
zSyUvn4<P$1HW1<~D)@vEDgQdx*B2b^;4BQT=p!ahj^1JZ<I)3lC}{fbtZK?2<7*!h
ziPm{^K($fa>43C?umym}5}KMmXJ9Bx8gvWO7;FXbm|AFDoU?UUwkWu|hlb)oLATz5
zX<LX;H$*@9zdlsr|7y&jAJOJtwX`Aku^}0Sg%5hf&<9g|tK6~M@-_$xR1Wy{kr)dC
z4m((wA_F(@M}bTNA}G&innf~5hG-Cwmw?O4_C{?x)*3i%Dg1Nr1p06ako4D5#pAx<
zdw@&}Ky{zHV~XtP-v|WlEmjUHNvXvM$9`mjV#LJ6%(>SuP7{h378XXHg=NkAiV*Bf
z>b{-rF&p)zi8y@o-;b+M##DIm;>RUwHVT;bw;s(}4GuFkWV=YuS*1@f6o?&yemdWZ
z{4WP>{P#IgrUk@6CJ@WZvm+^xM)nBs7gPS%mrvdQB+d(QCn%s+hqaCE#FTc9t}kb=
zs}`#zLzj>kCV=O9hH{;>t2w1R01wQAtS(u=mpFAi$Tw*Tr#@NFPcLqu8)U5Ad5=fD
zP}6w%5YQ<7xeAm3T;X}lc(MURc^PRFm5u`V3<d;#9?*j_HTKhv-Tb2&;9!NFMCq#r
z2EP;2rInQ|o6%ALn?Dx1X!zGqa_RJWb%FNj56`lrpw|6{A9!NUxw*NC>hj;c!)!E1
z<IofbBsG{u@Dd&xB!M~7cf^ani9$vJ!Y_%}a$(A)xA_HI+6VNxBC)KBKd&y&|8}S5
zHYOSc0i_elZCE!4&er$=_`!?FauBHN>2|6Fpt!QK(qw%gm+GnGJv4y>&h4NTa>gd0
z<Q@`Z<K!d&6xFT`0Q%HuRouy4-&N)dlGFUI4<4N}<PI~|Iw%6Fb)`FH^sE64tHdAb
zw1Casc;WoY!Xm4#?k;$}Dd$COU%9!g=zbeh{B)FV^b`to4@6J>&}2CJfDk|my`QwN
zCp<^(wAz#*Ry=II&l}L|L+5|mX}r5pRK^H+H;*YNyi(+uwT7l9hTKK(IdCVwZ`W-;
zvL0gp92b`)%(lC8EV9$^9`KR|F5UcoTR{CwSy@?a9so=zJ3CJm0#-UBBLl*zRs6=6
z{`<u#npq0O!utwfE3LR6Z7iE|3&4xJv*6Q@H@*3OB6hN6qZYub{7e;cdGxC7Hm$Jh
z4UcIz%2JT$4ycm;ow4I%PjL_lc)Q=uR_?qkf4DhHj3#9K{Gib53m4bzDe8dc^qPzh
z`(x%&A%2%<L2f;LnNrPV{+Bk50+59W!5NroZ}ICDBv0KMqtmFN#{*+ygjbcEygVr&
zkxJ|o;<-q`%4gNq3TYWe6v{z&w2eHU1BU+v=y5|;3Bq?~))$oqJd|uuY^kk3i9VPD
zLt<!X=*Into>hcdGd|eXclv9=Yq?Z{_Nm7Dz{_f0Xb#KXNo@XEyOWj0_zz`y4cIjt
zh^oH+<is(^UAvLc$pRRD%Gb)~oXNf3zk&%d1IE5tD%<FTwb9qpleVzP)A?%h%w`g#
zhOw!ssr|mb=)JyizxcXAXgJQ~pP&KHV5`GK<xPM9WI!HcpUq&Nq7-0w!I39{fcckV
z-i=qZ*f|Hhy(GBW0|L@r$@~PeQS^4cCBWjXe(~n^0$k}te0q8mAjN%vO^-hm(VO?1
znGiy6hrS>FP1Rz)GbsXgKLKcPYG+BPtR|!vrSd&He5R;K7*Kuc`4Jpzf`Jwz*K2$6
zv$gD}r%SO;05X{Vc!zV77eN^T&Vwm?y8K!FQ(9UCh#b((`kmWt+JIOGdbb4=Gt5l5
zgLdydcyJTFeMReRLO|y8cZ1T5{)yv5&z%_r4Ol2Y{~Dk&A2~0{H8xIa`OTzm$lnw3
z*#51qEJop6*Q%|nOWh-S@DgnPv#Q<{LE^=h2q~an_5g-4-54r7xjNr*0+^<yZc>%k
zdscATl?<KQhThF+AG<4wx7_#Kz2WL?6B6+MbaL%cO`m5tbhKXJ)PM*c;=qVibQYY&
zQBa^^TwI}8SGGzR#sUR30)|_-Cd#meV4&JF#4|J%aac=&TtWf`Vr#->QUYRy1tcb*
z0TDyE1-b6|(X+Fi{kNTye@G7bk}vP~ywCeQ@Atysk-O4JB7$;=Mzd_Ty>48YspM)g
z5=DXNT~zn?>mxu+(5v`nw%Igdf2QU%Q^=MPoB@9g;W*7Q<x`ypSj%Ys__XraZLzqe
zBCO`j(|cxn=(WxvUV>vZni+A_h;aTcb^M2H(~}E0`<B?1Lm?q(>GlfocxEF{@=P8%
z3)NDRud@HrBaWZ~2<VYdJ8BS?YW*z}yVqo>yCq~liVCoahNS<-S*^;Bk)>r9v<_MQ
z;w?)uILqHOdh9d~_(y<)y~9;FK34J411~ezU5GG=USq<GIf+oaskvm-c#%+bIjuk_
zKN1<HRKa44@7=Lx3WcKNSvmR9Xy;auzAA2MiZgoaiXWI@jyfqZQDNY&WK#XIybXt5
zc|8245cMMq^Gk9MiYqFDlSjH}i*rMTpUE$Tr4CBTzR-|^NMwV2rJ3x@gH?5usFrE1
zpGQaYVy~y~C^hZ9FJACQN-2JyRr<c6aSDAJH?_o~;yZV&NeTje)s^49@?>EylEvzg
z&_$ga?J2)0ll4s$<7Me`I;wHP#z{;{syh9TeLaRLNFiG6M6uh+-?v2t7Hr8|<CsN;
zs!{Y)aMf7zey6|!^R0no!jlB^JKcBpd&B0qO&`a^#Ps#LKPXu6&YIi1e*OBcrc5>=
zTN8+&HR2<6c62D<bWA{fe=V2?W31&A8Rr`BH|Y<F7;=YxX+rA*SNWF7zDrJlx^f}M
z7ZxCr+f7b_SLzd~LGrMthuHo<Wf_%ic&lCpcbwgE*k>shnQ+G=&G;b#I`OO*f#Tq*
z^McutlVd{ZZ2EpTx2KOjIUE<4aN@*0pk8=k)$~+>XL9N7w1W=6KGC(65dV2X&it;5
zq*eGst}OPPg&SZE$M0fUei83^^L{RDyf;b4_MO7D)W&u(*t@88Peel~cnE#I^5z-8
zM2$co(B)XTknJLpFJT}L@0%p`yk7K<yL?v76oGWd^`OObSQXA|3n20Nd<7;51^;qE
zm+#6iE8EV32);HW_S%VnEMoQ&tirT0ku;Y)7~LzNxYs%0!mOe0_3(4p8hMOGot^Gw
zjmnn6U6TB3m4(hw$S*H;xQEZAzc-QRRM_eS<=WY$c`j0GOj97i(79QK?VX*r0FWD+
z`U9yi$zURlIDxd@Y{*y2B$d}r@1^Na@H4$_?08SbLtVnJPtwylhhy;d03<fZWg98(
z@iu7GwoPc7DH_qp<*R0_>NU87!b4x;)Kci^iZ0|m7!2ee5by=Mpo_*$w|8D%h({|C
zqQ?e!D(<UKD%W_>N!<=U3DjKKcwN7r&^ue9mN1nq0*Vsd_e2LiopE?tl?kmzH&p0j
zyW!x(*^$Shzs})|C|e!5doaOlAR{<6wGP)hdY3wxcz<Yln~<y4HN>Q(NRBq9RrNKd
z*Yru4SJI41yVZ~5cJlHwQ`8@2rtG<i&sZui6Aubp6&j|E0Kfbxl@G(x-mT5`?7Pm+
zWI*BdIhbim&B`)+HByEI?rIKqw|3BkO;W(3qz=SOi8VADi?}~TW-d0KC+oTc9XG*5
zCledgSN(auZ1V5F@`sPCK<{){#>Kw~-EozXUKM#haXGXGE1P{#5iadC420Fh<iXNs
z=@fZik2T|Wi5%&=Q3_*ISN2tiHC!w!mG?r$t12V8J)4UxtNX#i)ut(9#u_yl;qOO+
zBGRU`FmiO&4_r19w-rW5M<eH_M>!9ghjv|FI3|t1Hdz8M+k&dr>)*{K`{3qkv1iI1
z!owO-OTLx8xby8|&O21=g(;WayB{{iYBJ5Y!qL;R2jMsSgUKq04(#L~F(EAv2bEu2
z>qf|~tmju_`GF4U+iwKOex@sYB*J_ch}~dZ-O>cc5jy>a^rLfR-z-F$u7#3d^Q0kV
zBeG}Y<ZwHOAvW5+%4V+oNV(QSM8xoI6{wCMvYP*gAM#~$x_l)_z>=8xOg}y^4?(?d
zCCMCUC2YU{W5C>h=<kv+rBaE~0uMr6MVc1`xi;Al)q7A-&=?CqlrhFq7xs_0I4)0I
z_<Hu9<F-?bqt!V)bp`x(z}RunP<YAa_V)H4hlQadSRVx^G!5Uf`^InAlyK%pop<e`
z5&W;dy}g}i=V*qJ`M9p6WJ~bXeM*B2C>n0a<5m2G%Ya+qA%a;m&rH?`mn`){uD6Tq
z=^F&*IiuS@fip!ReE=qs^5<d{!jfeV509|)Emo2ZB`>y>rp6A)Sey4nuRX?Hnn`1y
z=UH1~MBu3_Z*6e6*wE1MSdYBuhf;vfMJ?Vwmr}sfeStdfk;^*j;^nU}0`8nnr+chN
z#IQy-St%*2|4h(0WZ%k}bTA{p$>vrE$QMsT?W`mRz_XRuA3jrDzhf|hT55jZ3hVWt
z4dV!d;aFSJboVY9MF5{|;yHhhiG-!U5mi@PmtW7=P2}tAUYU_?Us4IidL%S7w`}{{
zr#4>li9Ze}0p=GM%Fn;&82)#8MM$Uri{WBiF<X0eY|Zncatw_mk$&eN;wSb!p7T%s
C$-)i*

literal 0
HcmV?d00001

diff --git a/_images/dff1fbc3de1f6dc1e221f96257bc74db5d1a0965e76810d25d53f2c0c1315fb3.png b/_images/dff1fbc3de1f6dc1e221f96257bc74db5d1a0965e76810d25d53f2c0c1315fb3.png
new file mode 100644
index 0000000000000000000000000000000000000000..e251a8f8daf27ba065f245efacc042456361d146
GIT binary patch
literal 175011
zcmbTecRbf`8$KLqNrj{c2}Lq8Lu6!SlNHJqAyGn<C|jWrGD7wyN<?L3Wsj)rt&)|U
z-|_z5&-48Lf9}`o{;v3Z-tX%=uk$?4<2cSMKtoMoA2~hwwr$(?T~w6S+P00<dD}LU
zj@>))U!)Cwi{Wpgx8?M2UvjXz?PBU=xlPsd_Dws7+jcf)%y%rEZrM285a1Ev5#(aF
zzJ2@VEiqnR`~U9;cpRLr@g6(Dicj3O=ceN2TidoBFeUy^k}jEMvyEiiwu`dT+ODxb
z<D8|md%rzMh)$H2lB$uSqRcP5W#7{*q}%iRhMZAZ&yAnIf9rM@=cnv=Rc32q^?Ug<
z*TR$%MM0%=#Drv=d&@mP_wm@}@>A4g(l0}0$WOic-(R)_hdm7+{NI0<nO9HL(o;O{
zL!(9fWu8$Zz4Oq2|497BV;2pl^Z)Zl`1b)4AEhh*?~iKLxk&y0|J4VzmE0eeA2IKi
zm6v}S9{%Xbll>=@!ll@#H@}(PlQS@&H#IfopdoK+YHIE2*?J?#$re)m`SU?W#>c+C
zJIBYzt*t%WC2f3Ur1kZWXl2k`xNt#5MdhD;7<oObRz`S!{u#Wseu3HK)YRrT7E2{<
zZJIrM_E_86n%}tbPc^s7XEazQk(rI{(c<Fm;NV~mgV&Rl+*+w@Cr?rzI^?6zRr~!r
zgR1HmPt`~n<tyhes;f^dPIcV={hjXCty_VIdDT|u$4*@?WJ^s=eQp0Oa&vw8+0&=<
zc@1<&j?`_eE@WIO6P634Nwn)N)Hg8DdZkG9^Vcsr0V@iJ{_<5lOD?u+WYUB6&)6yG
z_{nT-ZHWgkt`MiCrKLHg^=NHrrpRN}=~GqJmX7E_YU-~Q_s&UfE*_K%qD|4x&<f`@
zX1a9glG1Y?)!F{{rA}ky<UYg35k;Y~b4yE>e}DFNrfY7;{~97rrx~2%)XQzE4mh~_
zXQ--@Guen|Vz?$~akA~<(-X>OR#x)FYv^Rs)YjI%w(EU*rR+{vc=%#o!)3+h>YADY
zn~sw)LbkqPVN{k4;fWrr^HEVz8YOm@@r0jq4Bz})Dz2)j@d;y9FtfD{N=!T+85tSQ
zZ5YWS7pU>(#uZu~BgLCH|7;oYXqwLUl;7H1bC!R?5KvhusgtRlX!RxL>({R@^YYY{
zl*lV8D$3m!b{;-_SVdK}_pKxA=GxMFLOeYdHA>*xe#196<O~g8)IL6XslZGQZ~j=H
z>m)xv^??Him?ZD3xVnlkirqH({De_oUw@;;f=gCHTtb3Q*zU-IW9MIC$pr1bQl2|^
z4gnHcZ$U;zHaI=qF!DJ>lY^!yR`j5Pg2L<K;;n1^<lY~iFrJGNvZW0O2<Xhx3(3^U
z(yH)qd;R*gqN3u5#>SwDmV}Y9F`u|N#xj@LRL7CpEdjc{njvrBilnN(sEwC!N35n@
ze0K8dw{Mp+wNJ^iP$7z4U0wf7wy`E9Cr|aiKZkdz`Tl*wlXC(=LwDXoq`$xaYj3Y+
zni?agcKQP^FA_xav17;j-@AWam}ueS=QsNjBSgU{_PX`%^5f&r8;Rw4^5ltPiq>>b
zo_YkQ4u@VYgMonoHf(5YtfnJP9dVFyy({zQkFw`|#kO1OV~Yz5=GFdG-`_b0QJ+w1
zP1j_#v$y9H5V(-2L3!ke|BDw#LzpC3BqZVj4zd@z&JAxx>y&9^G;SyN@ji7aHQ#YW
ze!4TGYO*c4prD|Be(l2tDTG;7+&Pz(vFFBLD?PWiERvW0{281`@H{CZ67})nu8tJt
z=UnWODkrOYd!rF5ED=hgcNaM%w>B0edCZSbJC4>-`R+UFn~`y9r1o*L^uwM0HPJ`=
zMn*<N@2v^?9XOV1RugDc>g2<3*|0Iff0B)@wampK*SJzGO)c(-pfzPp(BYOv18K^e
z&d!!I-8paHy(={NNXo#-xc6+I!=tkf{jC|7*v-t$jvxvU98!9EXFF^=Iyy?-mwCRG
z*l!=iao$+$P~UnR?9DtlIa$}9qMUK{y_k7z@W=lC^NlkXWMsa+aX8kKXPkCxqM6~`
zou4n9k8N33S68>@7@m!diz7C3`%a1vot=UmwmYN;e|>v{<L(o3OtSEL7iX$k+?r(A
z!uQf!6bvGi_wL<8@G2zBKQ5$jyQrcviX8ECpfbT}tif?<S|>XvXUmapZ^SzzmffWI
zA+w&`E5XMk<C!GxroX59QE~4@#A&_u5_`kuSkZ-$wIA=_zqk4RmhbM}yIhwGWq+wk
z96#=L=(O&i#i>ip36jR?U+-;a5WDS<Rc*sBom7vH9UEVBDS!Vy`m6)fyLa!z?=Jcy
z0sJ%PKgrJCfgkBFcYBze%(^twqc?ND)TkLd*o&9nzkffzVD#9t0?H-Vt$z}#FN9MN
z9$W^m73~`h?d-UeBe{kU#ztj#9*=){v6bwkmT*2!^54osDpvW{JmX5P1EQW2ZOIDw
zlt(-F(cc_vICT5=?SGo0d+Xy@R$T9|O|hT9zft$eXK#jPvai8%y#@cBUwt(N=AZRT
zolXc`Yu->86L<N|@c!;n5{?y4>!n}%i|PsIhbAZeRZfoJqmf_#B|Fh_I+t2({oABq
z5|6rEWYv~<!Ov)53+pl79M_1Ccf5IXWfz-veC$kDmI7+Q3t{_DU%!gzEjL>5kGCYW
zAmUd33~fi${!<u5dj9_72cBprk#_ME+U_F_%z}d9dk&t|$T1MQfg~Ps`O`_YSpR3w
z4tj3P?ZWmnFKsG>Fj*oA8C7_c{$ZZuefspN%wu{X4Gx-Y!#7Wm6i283y?!ld)e^5N
zCAICwjT@H@4CfoCI?|@PvJM|Ssq*q#OMGd?)|VG&Rj`W0!9#d>N_~>)w5$s~9xLwl
zbl*{7i<!BGK;&u1$=2h)2P)NztiJps*%QIjL*%NmJN9^)5LuS`u1!r%O_iuKBzyPn
zMHGe4tlzqjsFk*JYHI3{uP-${y%G+MP3ub%#P*j3S2Z=YSP@6>EWJFfM426^Z&#Vq
zYNDc!3=a<z)yK9w+q5x~yZ0SyA?x|`@y9RtY9L*eI1D_=&E>&K<h>oTd4Q74tF=`_
zOG}GL3cC*+_*`Fqs)c7AFU5CjTtzqUs%qZV_h<O{KDM@=8E``29i*cAh~J&W+anpL
z>E&H@qgSRRLt*eijldDE{`z(0#h39-rhq3;PU3rsz+yaiXK-{h{92F<cJYEQMIvG{
z`|5jooUp({rz2;JFPwZvMNKWEqC$~lQ2eRCKOWCF;r6}C??93J@(mmh_2TPY9J<+2
zeY$^S<`uNGsKdg-M9!TPxH%|g)f^i=Q59>%b8UXKo{f#|=C3{>3JQudXV1308D`r}
zie&!k)vGfWb(Dw?ow*dZp&w-~DzPGAs|ynXu76B|A3wfje^b*>CWU9O4Dv^@?cu{b
zMuYevWb17xBO=bz+7-ezh=R4hzm#v^7TiWpPp_S+9q{+pH-Wp0)(y{j^SVX6nQu-s
zGv1l)|AMF9vwQb8DK6TMVq3kFsxjf$=typSfBUh}vQc|WSV$=4#*cSMFrg?t|J1kt
zsdRbz>=}`06`nABL}^B0>bizqO~sF`(r+yfcuove`PGd%ZOhKiw(icRV^w(a3TfiH
zLonjeZlEF#<!R{m?<X>eKw_FG^?!f=cwwtNJn`t!qt;4KPyR@@D_5>$>gB1m#7ofe
zThvKfEv-_akbZyb_)x<AFHz`pBIEVBQjII`2Or^MF&;@c=kf%JCF|dnY<<4zuB^|4
zA0JNj6=(G&vQtq}{p^4L0x>xE_m`p0A(8;uPje%mQJETxg88F^@nqObZ|2>KY}A~(
z*@`%|M<nhFmXwsZF_nepxvl@@MqVDo;<?_vi_~dWaKzBiumpgNH)Wuw=Q#p3{a+3s
z1}f;(kFv85cka_NbW>7Q9UHBG#vtw*ia@74crba*Zs?QG>i$#u#n%rZ;p^p8jWt9h
zBjMl;yb+Iw{M%mTzp5WlR8_U?&b}NDjAPjtX=-QJR2Rm2xxj1(fuC%9cm{O$b8~aQ
zbDr^yjHE?qTYY-8C!FU>jQzI~Q+xX_`KDDBUpoaxuo|72Izinzh6|(h2kC{bKSJ(B
zDUnLlXnpU#>`}k_PlviBK3=6GRrPYYD<3K?D&QlM?K@3uZ0bvIP0ViwA7hlJMCp|T
zGBZVON3^zP>G4MLTv5WyB6(0aPj}WY-@5zvX8__En6N4C+;fBC>y8WKs`yG-B#u9e
zi%oz3{rPkA?(%Qd6r~6e*FVhN-Q6m2Vi9f&<0SaJJdabix1CUqe5IKzAI_<R6Q+9x
zagIoiI_JVeeDzd&N}WZaheR@^<!(iQk;&G??KtO2_<$yqB1_9(fFKnKL>*dOT(s^;
z-4{g5opix(zsK5Q05Fa@)&=WP^j?yi`|*J1RvZfcpY_?w<g~QUt%(;dqYU5xr{UvP
zwI-$9qJFm}?=mZhB7PG1`BJWtD4@tg05Yr}GbbmfaSI2T_rr%%-%AC$vh*eZeSyUU
z%xfu#v?7!E(q*=PRo4pVOdaVVzp&5@2$-nQ4{SP8HQ(K~!KS2Xy(%2WFB02KL?9jA
z#Wy#8=wly{f2*6CvZeSJ-4`dlu&jRuKQ_HM8v;B$^7E$(-Yi`&k7;(GvSnF-{NB-o
zp^1slEs|ToZ{850m*l?uJ2UDj(36?DxlP||8!z!J)T*DoMY{mkV}$LMQ1+um99fVF
zEth})AdZysa~@3;zr5c+%H0GmrK)^vZ-44M(~a%e*A+61QjvLAbXD%srDyVw>4E;_
z5HR@UQxA6?sBLKpLEN;zcXt8Ms>K=E`@_PG`NRnyW6#Y96t&iO&bGe$8I>}$QnVBD
zP@!;cXzQkOfE<q;J^CyrMhQ5{=35E3`R6BNSZe~@;P?_*bZvQdtLr@-oej<?QEfAI
zP9r3?y}dQD-<z4{>nySR1jaxM((zJyyA+-7&5adDqRt{wmfoJyio9IxWAT`IceYU}
z^{!pJe*XOV^|j4Gv;~@9@;-+gGk0(>X7)6ckdVL^DgfRiq?7SQK*2N)4h|?hYU_W0
z5le+CwmyA^l7T@5h1U%b<=*<=6zuU4Iyw@ivyQb<JERflU$J;V$Y|f9o8!(2I1bCA
zgxBLAOPyzEk)but&83C%mbxvR#PO5AaN!}Izb#2_Z`W1FsrD1qW{zGF0u8Rui*0*S
zO{;t#@Y4*Uol<!r{1}<b@%Q)AJn|!HDJgs&D>wHui7Vm@S4Ki4E51s`#l~8<zq;u4
z(@|Jhm^eSLUa=XxxuJ@uCYnJW9v)&*aX^ajg&vn1_HsLWQc+S$;S>BrLat3T$5GG=
zP6ja#Q7FqxM~`xIakaL!t$vb8%F0p(V*grn?Eo;~YwI>|yz)KA0c>>C8B@|9@0`uC
zcb(an7lKqJlmF^To1#Ap2{~Y6W0Sd6^!l|0PA#z1Ge9>1>(-Z^?<q$;AEPKCbJYUM
z5TU*>{$*VzF$jg1pTF=!e~Kd8r|#~*L8~WegKRp}sfhLm&rEUT%mbWde08!yi1k2)
z1k$4AK*hb=ldaMztzJ$Q5geLHAIvWB-#12^leu-;;57$+(h6W=Wo4x`NiIlcuM(4f
zp~aqC<4vX?9+24ey$%49xnFPx8J%{eFKo!F@k4E`FU~TtZNm0_)#;ka6)WQ6;;}%S
z2N@WeaAMI$y;VxwKIXBVT%{R}15)Qk&8!SsMzuJx0+-pVO5q&RSai348*X0WvkJrb
z)!WmZ0mx^C_)~1jrjOa^)YL_yo90^o+TBeXt>T-Pmp8qIe)PXM>&ctIX?uOWD-gJ~
zYr?5Cw&LEp)6cJbI;0~L<X6zcl8}&W)y=YO4^w;<cx4u85Vh3;Vd}=T<tLo?DkY`h
z?$UMa^=H(Kix)2vnezxe{rzGavR%896BCh6TDpAAu3wKCTauTT2THrYR0^sC4T&kb
z;mo^AVq#)wl6{feTT_$|13;|TjFOFIu!)J$pF3AZ`b<+<d2gwanu*Ea;h@tThbK|L
z<~|?u)JRpK0~FP+KjdT4jPpdGzFh~HMzL<l&<RQroK%MnE!DXHSzg{1e(QLeOSGed
z+L0qiC@Cpl($6kT>^pXzAw#<X$+!*8El2>+FdaqL)N!~!2h#~?2d+=dKl1U>e5Dvh
z`i$>F{cZ{hS!3g^Aa}sX=Gn@vCl4QPzqhuS2w+c8CHUG2k>4Q=UfXw}S!QQp@kUNS
zyLcGE7ir_F0N{oWCAy;VXSaX$836%SWUSWKR^I)jFJIR+j5(Fq^~yx^TTb>BpY~=x
zWBQ2<JjrDMmDCmra&ppe-OrVtk%#G2RaMbBvv6^7b+`k8enAU>_1^pJr0S>d-(%6<
zOia^BQuAId|9~`!Fl<Nd<kZQm1}*^Cvo$??l!@tIO<&?~`Z>{rfoEYya4i2s*jA`S
z^NWayWy*x}TrIDg>B%FyBz*pVv`g+4!$TAC(iRqM-puLULmLgdl}?wudE=70U_bc5
z3jx4)<GYAXs$IhQd!0NBq>`>l)xAa62=EUUNmf?2HTOyxmo2{==z^cU0ugyvulQ2X
zeL{^C*!<a<aY_I3Wz8(zoV@ejQ1#IPjNzT4Uc5k2pu^AjRaBfucYP~$PI-NKR<C$l
z<72akxL|zOF#dG$*SF=YYJZ&fg>Md(b3h$k0p-|A9K!U?pT`0K^|4f;ifq{1OK3oO
zzt1F8`T;#6M=BtOPiZE}mW)`H`^CDh{5d{1H<!s(R9Wd#YLpxJEL%H+8vIRW(n~rz
zW6#P70619%g^r9%X{2GAoDswsF?enL5t)_${b#H;9*;Flv9+UPefs7le`-W5AcCW_
zvm6_>shOFKwY7ER?9j^G2<rAV`uVUQ^kIiU_n}feMaWpuIZXZh*_5W9kgl6Uj|cJC
zSfOH8rn~3iar4d{D`XJk(yDouk<jB8CcATv;ukN!(?59dpeUM1Ky5&kPj8#K(5isD
z85$jx4P%j0R8k@;^JRl!qMy2cofD6<z0;WW{KSGgHGUI(gni%Z)lV~XqF1k86~Dg`
zg&I?E=a&K2RiP&EP?3tPvYOgBB8SKhfG?wl@*1_TeSLkc=*luRINsi#qQ=n$fY!*n
zDiMGFUgqD0`y9$~%)7-sRw&uo*?;%HS2i(We%X{y9aMuI(Ev_1D6w0O(3u`<d@k-b
z|LE@0^w_(7YR`GDRIF8Yc53fu5Rn3H0?6{^aKecbCyqxb5m=Zy;8AEOB^r-yDYgV#
zrJG{_pzxTNwh`n5N{kg~E`fViH!R6SZjBSCZ1HFBLY7Y{)*>n<rX2+jC_)Yd%fEs?
z_bnap1-%94y8uc?(1#emjbUMB)$t1m9&V+ZJ&sd};%91UDTkOWyeD7lUKfD)JLvAd
z&fD*dCk4~?_U+r7%fGLXNi&~16@XJhqNJST=eJ8WMlcb%$+&K}lI=1MKd{=Zk^;}^
zhRLC!k7)f@Rwojs25^j*iOmg=osTG6QD8rL(iiLQINf;)z0O}B(x;J;@+fqtj4L({
z7u==;+}O>^n#|SX{XO^8wdUB5)zy#C^xT`<0=)xT49Oe3i!9Ich3T%-QZ^afAkDxN
zBO7@h+8P}n_bn<C5W3#^p`n3ufWN_lAAM8?a9GK*yn@2Q;K%J~922tUDqY&!+eO^}
zav_L6gW0OCmX#7c;0%)A#f8AAg4V5rr<0|Oj2N1mn=>oR-q}`9c-(J6q9DTP%DdaE
zN*Q|(9GF1;$>f@C$;knshD;A?=UZOGN}UBi&YPc)&kg{$<~PA~P6mdC*Uk-~Ox2=r
zT(0mC1<BOXwQ&DPO7oX5k3n*vPd(TWe(D0yduZbr+7(hX!W)~LI8S3ZLkyDlWB+Zg
zFU;gsW@^m}a2Y2iCYJK##`LneB3`_iHNY5jO@QXZUg9`B(&kJ7;w4~~va&KD9Z<+;
z1QPbH0H}?Nn>(7%+*gU9p9x<1@zJy3&8>3_sfuFK@87>q(3si!1zfXXjbj9njn}@l
zIH_5juquHgScMZJdUJ3aid$!%aRLE_URz7!!L{!R#KpxCrI*{_wF&T&arrKMJt--v
zlaXxaWeY6%%Hq^P;t&qsH8wW>w=!}7L7uK(z=F<NZ|Mtabj|0_es3HG3h%Ao*?;VO
z)7JuXo1WY_rQ-k#J3-5w5ET{uHp<|9_|wam%z{Ef;C5>Dc*-b7okXpytjh0izRN%Q
z!5HgLd^W*b-@Pjau>Xp{!gO?Ppc27^pj{dTTf?QF|A71u=NXV1AZ%aKC!>NQ(oM|F
zo@RK*fBVveoxzUXcQn?}phOEbj`jw5y5qIYC4zMo64LQ;ds|ux+$gFRFMbgmKKf{X
zJSsE;bT*-(p(;72OC#E_?to-?f{0)5(UpBKb2)JK>{+opKclj)dE^<ryB&bTO$Fo&
zJ|q27+I}xDuV5yLnDB5K4-XI5%{8H;XK#$6*9Jc^7xdQ=!L8x86HB$AT{t;=OWD{s
z0Tn#!Z^h`S1;Vcu)E9Cx(e&P)>3*!0qI8@#Xb)JNj*f%Zu3aOTSEQ0Cq_@NCagQJG
z`}gnP4i@MMpV4N6V6r%;E8nz<u#J*%zmprkeBrGzI+(^NK63y-GJ@ij4WI_g0(Lq<
zMg0JB%rIb3=Hev9)&_p)%$YMLOVeGekv3hKI_0i&-oQ>T6BDJ)%vivIPaq8v4~72M
zB2&?8{?+<W)h=O&{_N}X{oo|PvO5e^SfXXizFc&2punDwj}PpwAE0_0VuCAA)NP&(
zi)6O8IE9U}m{$821{RYzWGDIf!U(Fe&{BCnqnIqJWkuhaj`sGq_tr}|&)k_CuF=lY
z-S+^b)6KbIIe^Ishp`jM<AbO~9EK%aI5@-~p|`;{)!;oUz7B4wDJt%E|NC<YXI#*>
zn*!|((k=jBBGSq2+5R{XFcX0Dlt=i?$Pj!uFf5I>vFH>4pIPODO?nG0w~8u41~|b>
z-JWXq!HN;+1bD9z4T$#RUy=z9-pqg2mTa*E!3hb+h}A`mKWOL1_i+IqJx$AHPB;jT
z4}>V75;<OU=iu)jWkd}H*5SXu;Yu%P9ct<I_0c1;=6H!l;31t8H~9O$tKtn2bok&{
zUOEzd)F%Wlmd_&6`D_cQGd!E9$I2Nn0;515tM`9<(t#~TqUi-oxQ|}YWV9}9WqqA>
zHz|(t%Cr<P<O5Ko2bjcPf&*!a;@b{jHas#yfS$_Dzemxu*F9IkGGal^92`QxgS@=m
z)e<d0U=MUN@(7edE*|b@^>015&Ks84NpnUJJbzc>&<C&W4Cg(fE~TlBy{l>%a9f<D
z0$mLXOQNxM8?SK%8wZE~*RT4-5rgiNOCdOL@9zvs#}TpH91tXG>+3HbIy>j)+cbd_
z&S&@a3=V-jDD7wL>bg7B0aha*_GIzr&nuz-L>Q$aMFN|I#>O@Q^&%Ho04J!#i;F7z
z><{M&1bECxh22SUgm~dy`x&-{r<?}KCgL=@d$p?vl=WjpwuTZ$w4wA!!r&HY3-p^B
zpYtv(HEoFzjEPQ`F66a*^dmaoWj#E^Ay*o6yAo~dWUCiSpC*(jtEQ;L23K^P0thIi
zfK$f&pv=MDO5<TpAtJq*^C8;dKYT<AM8~XJLe9uxTPG?alJ7ca2Jq2<7D7>7T|rOp
zIo{C`5$^H1r1b6E!C$}P>>m@%<SVUH;EuJ^HHQ2W9B`B%3{tzexCr0)UWd;-g$@oC
zb!23r%i~~xEPBjms7W1Q8HgVMO+b=v_=X1o!bNGj4k*~x)unTy;QM>`=a4VkUR^v0
zT2mDfTa>e63|SPSKs9O}F!wbi{zra(+gqWo;8eGKd*iTh!W`XzUanChD2QHKt>=nt
znVF>Mnpf|RdxHKVv>h<l1Yd;=VQy*Z1KREP@88h|u4t9@Ut1FqL3}kBB-ZDRe1d|n
z(4WSFj~pEx^{5{MWuu`H+R(K%)xn;s673D`4M32f4|?zHZEJ0Pi7om0?F}IV^1J*t
zx?1i^A_bZutllD4!d=*ypOc0hdZ9dl0e>yNLJJ3QbLY+-VCV@k`OPxj>Hdm)jZn=9
zG75=L0sSZrvlBAOcvJMVUk7@-yCYF$Lc_zWk&3Cvya>RCU5?~7lt*75Z_$u`$kN2*
zWy}MxvO1+7oy^DDTU$-O=9{8IhXYX057+EP_CvB9#R3?;zbmB9@7>Prh@uNhYFWo)
zXrc%7k{__RR=KMq#lC$3!NE-n0$Vd|Cr-4Xhf|8=s)xc0I{XOs9O=^+l&QtHI~mq(
zNd!0J?(R;@r7tBTLy9_`gcBelDw<)&xj?YAt1EM?RlfVS6Z9+ABa-M#@p?vaq@ZaV
z=EoY{R_9ZuncI+|E%@n(|5g-SUtgbXP#lOZ^cvmk*s!>M^nKU6vmv+c0T=9ce|-4^
zVr&j_C7>OI+Z{eKAMr^U;4MoEL}FrMf{&hkg2ubhc}DlV$I1hJE-P@Kz|o=DxUtKr
z*gB%FBB~xinLtHEcJ;=p@?rZxKXx)@q3N;vnopt;X#vt&@W%Hjf&+lsu660s0$VZ|
zsVil)0kSfv1cl`{@On6s#9N75_S|>)`MvZ%$^;+w?)H?oBHJ*UV)Qx!IF@#^_TV=6
z9_FbAEIi1rw(X2{D>E`35VS(PWgyrbyb*NhP$Y_Ua=pXc2I1iGGPug8O{}f!Aj)T;
zc7Z@-K{pS01xEG@a^jzbg~p;-B%%o*o!;)3Wv+8901W1+WSj>~Z!CAt>SkQxpdnN*
zRA!<ZMmTsgo0yv7-MtKa$dn^EYmly7*A`E)tH-mku#lcUeR^YK1I`G!+@hCc(kAHc
zP!u%^wNIhhA^0$0cQa&aw_G0rHfkY<=;j&)<mK@q&M#b24l17Mo<npQg&d}(t&J_c
zg?0Se*GCN?qOIL|I8suYk`Q^CnpDQ<!yCs|e{=pZu5D`zLuUeYR_Ew*7(H+bbsFzw
z=HxsEH*o6IDJ**A;GhXS5=0^x&+e_RtsOTw3EXk#SO4SOc&42@cfKtvD>ALx3CS?c
zXjjBFjVxX6o%<Q;fPq&QS|ss%pF2ClUz~M7zgb`u!XBZtdha7CI+hHLL{cPNq!!Pm
zb?N|FfYgj(qeJ91l6^<k4JS~>pzQ_&_GIj*K;Qm-S@bw{z>)JFB7gt><+}2Y#?#Z2
zFdWEUcsO=icW`_>(l(lO`}XLGNq<mceSI+ilsK=xh+uH9jU8)5_lDzLh5RK7J{^)#
zrd#37wj^=J`~wUk571^{9a)8hA^`OAXk?`+)33gNcl`%;QF3vO7WNT9m#NN-XPj=(
z!ho`~?|3buEo+1PjntV_c$c2;=&gSntKugT2`#GUqZbG%5U9KN>@fvli0V5sIT@Aq
zTOFqbl>gx{#cJfQ-TU{~HaG9bamwy3TCjKv{NqztS6m{Dtb78JJ-SogTq-gWxFmGA
z9Od_9d~YtD6;Az)#u38CfBMb!^4RnD=uruX<TY{(Tzeqc>A96T^YZfY3Xa^<-R<&W
z@$zwE&QTJ!kp{o6Q&Usxzq?JR9={PFt8l<=dh5jtITk7;Dm_aR%ZMkNE@aXlpi!OH
z%l!ka#H$v@61F=ma=)2RaKOQnqfv2DAB(QF=;vEgWwZ;*lJ9U@-EzoAR}EeOD}A)u
zj1N-HH54$IdJY~vstk@^1jwd@ePA{Md<Hh{3vcB{QbYFq{Ja^;BiGe(k<X$}V`3Um
zuuAW(3m-f0p|M22Gt}BTN$Nwo|8Zqn-Xvgo(FW9tUT`eC_A|*Q<pjyZ%=>6T9a959
zC0f;7T1!buNgkuO4}yaBB2TOh3xt*I_ZEx*!V+*ARV<E42IecWn9}<G{X5k~HjehK
zO00B=FhD#2S};NP!XSWGRzT0Q%~CWF3A6|at=M9#-}-C*akQlXdMwldgxrLxi1T~$
z^E+LjBm$9iKWRBY(NKKhs4A7p3$X|=qUl1Cup?Z4XGdq_w4=_F<GgL7g^7t2#27%z
zd%2kl*WN1PUH#M2CJyJsv-OG9b-dCyyj);WPhHH#kCbfp<6Q){GGp9!CmIll&YEZo
z#hj<Bam=UMlKnE>Yw%BwE-o$43fCphApH?MEIM_-_HE&OA3z!F)>vBkLFRy<1|N!?
zjvHzCf@*ehkobvcpk_WKrsB20^|iI(!80MDts2#!VmkhLe(CJ&tcFC3wdlyba<15X
z2;c*K!wCL^$I2h+F54qgTw%;l6*;b31doXOsVHx4#08Ij=7ym}QBd<$%BO2HHv_0o
zq#G1-0*H^o4lp@6nQr!M_D9)g?;U%0@7>#|^ZYrI<P2mZB+jb(`aNNavcO;{Ihj#u
z*`Z1)giQvZFDWAfNkBCnY!-AaX_hcb_`p!m-`p5De*FA?Mn*=gfda}uAkpgeasoNW
zidGF(DJUvGGqbQ$2^#-WP*im3eL4~X*lE{4gCxLc1a{*yueCTw1u^3?<VDcna4fV#
z6(QU{1qFQk(G&<L0x3WQ2L{OO%52MXFow4$A;Y=q$B#I??EKKCI}Q1cu1vkOJ2?jW
zhK5kb6r7y+k4fGi1v8HRmEPRkoM73|W0P3EFN8!m{Oi}_;$ml>fo{(PXyklQo&gKJ
zkf*$v2@s2dVuSFAd=bUGoA7S{6F-fLQpE8^LK4%})x}DNMn(B!Q`HkBKUaO(hq8zo
zMknfIk$Qp=B^?`O-q@W}U0aP-?c%dk)pVl_YIxXyk||-+OG``340A^mMv30CD(TH?
zYimR0^#XHp>9w^c<gP$;{h7X3(JleAeJ^+08_mU7WL9%zWhM_y8s{Y!Ls<I|P@~Y|
zAXx{3qMA-i$S*F|`7#7NJ%=U`?l0K*UZN2udJA{}QNswH_ngab?a~NOHiDu<=LbQf
zAXDyzHs=`VCM@5ztU-jA7nW{hV!{vIERJ@vj1M{Zc+g6|=&ACqR*tV0UCX4{1lq{t
zSC>?vBqLBMQazx*?D5@%fE(i(!2o=F;?$`<P^FBFj0lemu;w*rd%Y$7N-zzg|7MW5
zOM{pL=FK2tt1(gz0uvIHW%qEE-y^bJtZl6?FMWOjDTTRX-x)AvL=l_(W15tl)Y{pe
zWdA~#C|OF{KEA%0-9zY$BIMpd%-j}CFBAyQ+zA?_QDxqi7_>NedfLm~Zk<$#+Qu<r
zxSf;~{Egn`V}4e!>_{o|@MjUGKZLpVp+lhML`05&Qur<DDy8Jae|K#yn1Rn5eXvF5
z_Z`S!*IJlBO$Hh9q{XJ3cuX%`4Os+B+}_avfHndyc>_e9_4Vs;0Z@XWj7YIGrX<5}
z5Nu<><Hsq$U73ZV0J52)8!Pn(&;PR=wdtvlkZ@nDd)*ig_YS%R22m#(y`BS}UxrR<
z!yzK%hd7=C&jQu7dSD;{*sr7X*0l)la^y$Q42wRb+4~1lwAgo(qIE`hEN3ayTVnsB
z-Kg@WY2>ocqeo}l|Jp(S)p>6$pvLB@!1MeT7|8C8f=EFdPEw8TcIx%Y25A(|!LiM-
zkp6~O<d9x#LyoCKkt+H=2;^0IcZm~C#pKLP5yUx_?OzdUU$E_jK@%r*D`|OV0LjA?
zM}gpPePq1uhp~M9)@N#}Ii45(d$-Y#AO8OuUwzNlWR(x0Pbu`Zs6~TQ3gCu@ZewGi
zg=kk0B<RlrU%W8%TIAf!YeRnz(nkNy4aS$*d)}argv1%2;=~i7bQ#(hxI{uZA)t8~
zox7V`fm<VO|HhaWuWk}q#Lr(kW6T>Hn~pBG*d<g071_)nHh|a_Xq-4rLym^G7S=?6
ze}5BTMtsWOtQo@WHDb(DjJ(te<u+okVA1Stu=LO_;i&?|+iQFDs9kn;Yj-zXH%w>M
z)k!xuse)uDr)C6Pni=SY?V`rY0q#$ryLy$HYIg0~XV_8DpjU7{6iBWe2&qQ;juvwU
zcrlWOG>tACI&%Y%7J=hamv?)AfMxXSd-t<wmI#|0imv6VOGt3AMb~s!x$8d$xO%BB
zumTQpZ0d>nqh5Uf{v#kLK$?<_aE$pLIHra}UKIZA^JhQM3UeE)x9%=Zegq9ssYS!e
z${LOC42s0!>_EcR_jfJnda^V)ZaO-eZu;&c+qL7=1-pjJT5ZjQO*J$oCh$$jfn)FA
zhc#L#veCnj8-<*4?J_?*m?1Ey&yWt#NuZsTM#l`W=>+pE*J%=umU7RncmS(Rabr3k
zUoaCF(Zd&(&qC4RGJ1>r$5{J>Q5h;~(f2KQqTYI}@}G-~4Q;gWuco&9Wmmvs%mk|l
zSjC&p%giEYwr#VuJqmx%icVQsOF&>C!H&g>-txsa6k60j%`+;5bBk!5kQ|63E+2d(
z>{rbE+=v1#kAbX)3A0lvL&tDU#^Up*kQ`P<XG8q_*y}F__}7@loONh^b@5rDT}o8j
z#S_fT55T;FA*jO<Q$Yck!V~8j`rdo46bIK8d@tr8c?7R_66A@XpditKv^yVSVj@@`
z^uz=`)w{FUQw`<kv~D)?+b)eh@&Iv0&Aas8z9*ej8D)=GbY^NkTU}r*GK%`Ah8zyJ
zDm2a_$PBz({AfcgaM%{%D?$`lm6raCgG(1|D%aB;lub%WVNZ9H*1dM7I>F8y7-Ur&
zJoVaP;Jjf9*YV>d1^U5hY3u;=M5Bt-H;*Xq&NI#vtJ$=+c-w;79Hh-D#~CpUBLo1S
z!29#Cv=VL^n2QjSX@w=Dk7N=xIF}6HcwgKj+b5>ju0<uwGAg!Hk>w$WLG^=(#^+h~
ze4wZ-ak`Bv?-Rd#Kk=(2*)Lsqv`{-dbtr^Sv#_v42_eGnCr~OyD6pu?vpr92?UeW0
zEh9-V#aP>@v2pT-s!Q@aqYyiIdnA)*@$qW#fIxT&HkkKtAR2fW9kNK9l9QA70G#*r
zi7CHXM#S}&x$xo#&01edUoVroVq_FGGx$I|$*1lW+0)L-?){7svU>^?pN=?2om&o~
zx9B~-n-s9$9FUm68sMk1x??9NtqF6YHs_aljTdyllVIwdR_84_Yy$K(nAM&GJcZiM
z94DWL+3#rNR@Z&5b8sgkXUipOz@)Sj%1;L5HJl-sr7g}GSL#7=`ruHxSqt<I6_{O2
zEC#;$S6ViawEs|{iKGjM@I(BskEa!#-nfX!;ISi*K9zI*_srakmPfSpw?W1>2YGS5
zWhmIW8!{}>0E>;Hw1aW4OYr<x-xMuSd7Uiu5DaibpLTTT7$2yup`4*(jy!p~$Mgq_
zKZ|#3Pk6pnSEil76=~4{^tuQJVxPcFw4o;;Tpc(dolnBP43-72HSM-&y6FeD>=~Sc
ztja!Wcsqbz{Mu1rI}O9c?Uu*h?AS}&n(1sSYf4gQ_*cIB8q56thm;C_TJH^<BYBNe
zOJsH_Nv;F3LjfhL-1=9>SuqVUj6lo)2K*3oiw}uC0DDtp*=TjUhPl06uG?0;uz%!Z
zA&ZO(*<RWWHNX9gPOl5&VBZ8EM;Ld+Zcl!I|JQAPbPu|(&Er2z=w#*OGRD85q|))3
z$(9s203=NSop2df7}<kfbd&_yW7XH0L3t=pBZH~1|6u4cgP)>?NqSb}_~WCu#z=eG
z+Du`DB0>Pamt{6aG++59BxqtmfyfXa^6}S;v-ap%$uD{c&hu1-Ek*k$IV$WvK-f;<
zW#Rt3Zyq8U;f2CP0-=Qi?;<2l0L&U@tuL!tSiG9PhjZKkLI;d?k@h4Av5&}>bYN6r
z0?~07AhY~9@c5|k%M;2MILtP-Y!xmlEBc%Ewx?V_efwo_;xru7FdmJfssnNETiI&Z
z28aw$C`~-y+;ebbdbRugcD=Oj)+ycZ!W76ROnT1!oN%^rLbA;B(9jPrr62kS2ZJ2&
z1v6&~D;zv_H{t9(en?EC`7Dfyi%Uz;o}hSy5oso)RZdQ>z`BivVCO-x+|n7yK{B;7
zs*G<RANPMo9qMv4!|2>}u~+^!f=hr{<Rs*mrIS^Q<g%Nb+zgm4b4${3m<$=p0v18y
zHDarvz1KMQi~H|UFuk(0)ngj4b1jCt#J=}wvdpf0kkjx$tD?t`7PO&;Qc3tMh!oaC
z&ghY*bj5eTC{ZJw-0lg3D1YM&ICX;Pj25`2R<blyD8of7aIa4=Fgp5pg$peiNn3K`
zWT2c#bK^G|6B836X!h*eNBC=?ROx2xd%b^uujEu)FR>Dx_0Oov2fXu6S1YjIz55V#
zKhxW*i1o~wP?SKvYt0N1^F62=?_6fp%*>K9pLB-!>vPG&|9|L^9Gq~3VX2Vf@6!A{
zQF-7x;%M=S0g6@$O1LkxF-iT3&FkCVM;}5&n&O_#2;X^W^a`%>?CG9UyGh|RBIpdL
zpBabVZn%JE(?8>RemI=W_0B;W^6KSgGkeP~&_<lZr7&GX@Q?sExlUIwt8vD@PjJ*}
z^}x~m{S87moy^Z0FRH0oL2<@th{audi1ARDwQBswc7T|ueayH$x8?XBR#`vRyKW&Q
zo9mZQbHyJ+dvGUwHAwM9<;35_@2!PnO*7-T{))1M`NOtNFk&nHbd)rIM#bo-GPt57
zB|le#LMB)f^f8&T2N6AlciPuie#qkz2OI)~k>9eB7F|`?*b=lfS(Y%gzTb`Lj`5!n
z6tws_yFgVV@7*X7n!;M);@bd@*rF~}{N65{9stS~2q$h}-9W<;3@naG2f_;v3&aHt
z&wr&}NHO?f$Sjq|m1rUJooJgx`)8q3V+=uO><hn)5yV!&>~$7C#VZxcDLf;KnA9NH
zuCLIlA`6sYKmsWaTje(ff!e|g04Mba*<bGdyW^N1+3Xttd2w}nIeua^q;g|^FDk?c
zSO#SCGq8nvL^xV^WghCX?UdT+qwANDR@c+}rMB%kud!AA(-X!uO@xlj$Qb9*b!t7&
z+{Wf2+zGIonL%joy`jXe7W)Co8>MPuCi)q>stngNubEqH4ool*1bH}9wRLw}fwjOy
z#yoU$cv@-!5*BW^*1v>#W<$(m8%xi`pE<_Bbd6N?7n$9s){%AKR3FM3&;VS5=*|RH
zq{YSS*A^${iI8wG6jB8M19!@0&Uz>@C(+G-(H=kDUkujb>(@S(yCW11OlDf0k04%;
zxrsjj(!iih>CGWh_@EQ<Zy;XJw2Z+1#%JF^Lo*~jxXBc@uDo;W?+b%nalvof>+0%w
z_YXt0ut3?xeogr01X<hI1ZZ=ffQ*D1fzgT%uJ`KLO-=_nT}O*)6MK7ASfD9AT}k5|
zG^*tUSVJrw`3VgVF2*5{{+au!kQCvqf0=zKBPWq$HlF$Z=7V=j(-~v;K$#MhC)i>S
zO-5<7gDBf0zkfG_NO9tBamnaB#BD$Wq85zO=SO=E9yxo%D6;3g=f7BtwH0d>-b%uI
z((sz@=W&4_@QdK2_#3oBJ7Cg+wur)QkZVL84Hk2<tB5^N!?T)+=k`>mW={J-$fPOA
z_ON|zWwqd-5@uaE`A!0fJ}ayAB!+yT*%M<hIMj_!LjfTn6Np@V_zAt=51Y;i3#aO2
zMfwj&N;4h3h__!5V&b@BkJ!a5i*eU4mP(lF_7pHP-*r1?=<W{3cGQT3w6rwLB}A91
zGI0%21Z8^ZfZ<Rj)F-l?JE;-W&=QJN^N9`#XQstPCP0xbNiT$H_rI(D<pb?Gw$DAv
zSoiJQ2e->U#Bo(iOP<vDO?34fdi~^A`!BH2W_4u=Nk}ka8Vp%g21-T6S~+yV2mE%!
z3T&*xD@gs&Ei7klRKkh_2C-K+TH`s)A&H@>Ece$#V~VejaSCz@@EdJmWMv%U1YYBm
z`c?lHK%I$+{lBP6B^0QrRCt9Z{-6USRJGK13P8#kV9|4*u??QnnU>0+kih=nNM?Am
z2#g@4X-?~^a1Xes{fEG914YiqtSwDvrf`kPg0d`l^M)PdnO=cjuV&@_d(~!p$ZazF
z%>SXG{t07Squn5yHtNHN)2=%%CAXmiMoW7c?&L^MRt;fMb#-;#e3#yAn@cqHduaFs
zwX*JCQS+B&AuPo39H7&0{#%wFgxRV?r*&j#4$JKo`o8fp+ol*@I#-ZzPsXKP=uhBw
zN^n^H7lft|ipM9Eyo&V1Rbqf(?#~~N{MBxVb=$};fBZ5OTztXUSkk!vDFvVtcZ`r6
z^)Xd2CS9CTN2#fkuJ4PE7V4<0^T)z%<uBwQT0qg>g31N{v(P!C0-i-ci3!8Yq?X$s
zI7N<8nX%gBj`xKf1S*y1qGgRx+Pmm-T=7zCd$(?*;nVo|W{jbMKa-BUD+8(mzOLrK
z%W-rAIa(92Xo638BDW68nLkJ1nI1^AZBCct%Pv^>=Hzg*gr$EN?QC!VRNYBdpr5TP
zwTXxV%OwGYrf#0z)^_IDyX6@W8-#7;Nr4pnTrfJ0p0eT);2(b!7iaGk@wA}07%fER
zp@T_0w3bTAp^cp}RhZh8R#5PRj&5c1rL(maj?{6#I0x7VUqVlsoSwF_<zASZlcsz`
zYIu$q7~wGUkBrpy`VvCXizn1DVLS?kKD4p@lx<j%GryRaL4@MdIH3+WYW<2S*xA_9
z*TSzoKXc-FBSbZGuiqJ#N)cSGqS@#Tg3D-v7VK9WnJ)<A@foU;F*r)(qO0XmI6;=@
ztf0+-25gGp0xj}f)1wFA2+s)~E^@5c(a~`=(0%<J#uGSb0!bMKss^rxnomzpzRXHX
z>$c%UZo}Y{)w#=XFrlVxn7Xs>BqMv7mi8HV6HY(V$ex;-8o2VbOvs}UPB566UB4})
z`8;?vRn1nwx&FxMBGMn8>^wYAY<qIY-hO-$6}6H7-j`sW{Qa5HB>*c~x}k|-(8#y-
zd-6nBUcPomchZ-y`l69yac-R_M%FWnD)1dcKYzxWAG-|x1&zpF*@`Xt^XJba_g{k0
zW@l&tgCvMK-F){h<H&69{!2oFg7e|kVRUP2YuEEY>ehqKBRO^~!LH|R@a&6k5=&*5
zrePZ*Jc7{TEKs-z`=#w)hOXhiF0w3|xnExN&bcLg@Mba3F1Pq(;lrHHK7vw3(C>sN
zVXp63@v<$DJ5t^_yqBOf^KVb_0}AuMFL^m(C@<e9$u~gGzeoDVKn(zQ#CsFZEeVC1
zWrbgxVxIpz2mv0cg736$FcJ|=<S8n7UsjINF4D8}4$hHDbF?n0{+OManyLp4ivbe3
zCzfgVJNxsHQ<IUTiOwHql^EyD?8*|jXS~(vae9((%*o9w&w*U18&)lgJHNlz6K(yk
zPb6-$n`>8^T46@J^Yg1TiYO@Rk8mM@4i`X&LKe1r>%q3#V8-WD^0v@1q@<+0>d_x~
z%d(tm<-=Z4k{$2)C4<qf<6hyTqjoQ<_j*4-V`V^Rj1R(K2~Cvfx}iL%G@NMw$S0+x
zqJU^b%SjB@mKr_LPBdvBt;cxjOqNd-umSwKq{<w7C@8cef3J=jGmnsDmL5HJ%-F=-
zN-(e4W<SD&5}Bhr3dKRP+GD$=-eYh9#ON6<?^TFaF6l<4{Kr3j^ndNFUu3lpbe!>*
ztl;bxZ-Wr9mVA5xQIqMsYi8qq5DjU_<-GEuLl+nzubjlm%BhkDRxXLVQ^8K?bdsLu
zQ7V#v0WgLO!}(tLU4j&qUjWcSI~zKE`YBp;)Px;tJOcfu(oZnJO_;yH@a^EgDl1Fo
zE#sBo`FAGYh)02qIxIduH!@f%x99Cf%D`qLh%CempzTgjd!4ZV>X7wdJ_GxJ^h6kC
zp$?fXM)BRA`W}sPLrD8lbncEgR~G!2D~hP3>2~LZTF-y%5*je~nm_lhv@~OyO$a+S
zV2%?@eeCdFj<GM<j~;+3#pD)L==0Zwc$(9P!gY4}%<h0XN=(o`e|{J=8q!#6_GJNZ
zbBYi*(72a-ECn8JNhm_Un|q~FZNT_`B7gyk5s`@MEnMB*uf<qCH{}2K8`(paGlEv}
zW+CQ)F|_`%vGMePx#i&0CRISmeqv0q`%NEwpzzXOkEmBvQK@cenJr6jfCG#ekHSJ~
zB+2f9>&@nCej=x`AP2{8Jw3e}0~J-+Q$hy8ff`Ih8v*+R0Cf^nU+|t!B1xQg@7pIA
zlc_z9VeKx1qfRX5``1@j!=66XV%}qg?^V2gdv0;Qc|Hc({?PF7Cukd82J1h*e}}{5
zMup{iB+)CNySM8vr?a=W&(zIPf}lnW2SYB-?4LO6@M9PpKAIVSfYk-4#DwsG5{C8K
zq1&NONp^m1jitM_`pXyY79lE0c7A@XLnWAgi_hcNptJB8cv)$1&oVNWj+*)t3RtwT
zy}^@$f7^0%b1~CpkYg)3A(_<)_ibC6`mtQ2(oZ1Nn!u6BV{!yDF4P$P)QZ!1A!J(%
zN`)9x9!ioUTzfFIUHV?m2I3ZomW`c#0kb4_L8mfL!$h-8+5W2BZ8HYiu$}V0^oLnl
zrvW)>c(2AHzw)8K@F<JL_#X+!UZtyLceoqhX#i=oyry%v0t><j@2$#<CeH(iOOUOX
z;eP=ZHHE+reSRJ!DLR-;|C=C}CVTRZ!EZtM!JhN*fN_mwk(dAatyi=CI|KS4e1j&l
z(hs0f$^hBA_6|_H_bVDF!I~3uiGehyK7pUW>27j4MFG%7dVZCp!HwUn+CNWN6Vxqg
zb|;U?J<ORwqa_Th&+P{I;VMY--1>)FN%*&j0W|17sH>Xxvgk+>@p>vTf&qlXcWu!I
zz3s<7=b8Kr4U(DpF^mI_09!21^zaT8#3J)tV55dPvGo4tT`vx2xaw*EKA?*r6q0rK
zJpBnx4{Fjux9jBnSL0V!SMOQ=!VIo<wtg5!-HK_%FkFvBUNOUS5@H;|m^^r}jo_63
zXIeITd(#U7M%F(yP|KDu6A)AL@H`Y?z7K8$RZ(T-pPbsvm{x<?1hZk$vm*5nqO;bX
z8o$3A0nf(xw;lI!)d3sz9=N{2bL2>czk>}l^FE^XM-pDt_=>r;wIZ@oXC?<ToNbVz
zvGdKvTw52HZPD@)N+wV@VO>EJ3mus7Il;bJ_qx>r;8x`BsDEaw$y*90*L%bNj_OtS
zi7}jaVjJLNggnd+#uGZh%bc7qfYl2^@yxp!&U+jQNTm(S;D;Lmgr-_WEnJ{F#cVeH
z<)R=qHX5=qr__WXg;n#Bf%6>f!){1kAU{s$lRa?Q2Q`}@=!j{&%KH)+z9cw%%)zUu
zhk)iV$7~j172>wHryl*o!sgrPd7fQ|Z3sKIx_^EPL)Fk-lL3q&dlKFZuI*7>W9V`b
z`3H|juy(f&f^b-+KQM@%2~NB@cuuH~9&JQiSH7$L_>lyLgW^8biz!+Jt%4OSv}f8f
z9tVX)cq#EEgiJ*!pXh`Mr#<1Zp1upQ74&-}c7x;cJHaV(lAaa8T=9Ds6=nD_rbFmf
zt4~j1Xr4HW80bdYtb_hps48=57r-@?JjKw5`i6c4oF9v6AizynR8)E)kEO6*2!rS+
zxV}331<}kXL42OXUR7AE>k_vvphtO?mR5vNLBb%eZ*aVQ`xWBE_*4b36Jfaf+eAk%
zeErpJ2_?DjcSjo5A5cm`-ejLY@eDg9>O>|WAaH+m?6Ay*3lS3C3({cO)6^2=6Eoz<
z&4@Vxuw50ki*s{B=onwyboj!Ed~>*ZkB)5%1s>xwK5D8p@u7k5Q}l5M4;`w3o9Y&K
zi>FowXi+B5f2-`^?7^b#e8AszA5?6wK`qWG60`~2vy^n+Nlx1>-hWQE-a36XK0X!_
zP7D9)`Z}@1kTk1^<W_lqQv|aV04ZM<qVQ&82(!8uccl4D=)-whP>}os0_qo{P_l8a
z3qN=#%v5Jw-@8;Qa~gqs?oPJBiM^vvrJ0gu_fOyQ%rYu>4FjhPe0~HB9C{cSJoz1m
zs~NbTfgQH2T3fPCO<_I~%`z**H1z!9tG)TaMdG_=lv1=n&#Hm0h!%I_$FF~Y4;kAv
zW+SdqD-5@{m#PlUX6noIjzIWJMzew+!gxan*076F96KKiQVy1jZeBA-h%=Zeer+HZ
zKmvwj`O5PBeH0Y0kgDM2e}K*(U_uJhU09=+IM%)WhG@e;_Q}*!*HERgvCImS%Wc{C
z2R^q#N0j-swmcu45yq{E`B<!*JP>V{77s5G6?VP+)pEg_iwS{A3mQ6yUzP);*CK2&
zBDe=sfhCkBV&oHbJ~Nl_3xm{#4z84QVG_hBF`Nh$YL&;m64MDpi0J&dfZ=`^Ch#69
zD3QHZ9|0%}T-#V;-dKByuu!^X8HaB1?~z-ojTLvJ?(ukZ{0BZBNrC`{@*zyBXkjnI
z=@EG`WIEsen=r&EO7vE3F67>k!UP9%i`rM^q&dJVOmGBMN8DWC>bi1RE_2LD6b=Do
zWc8f=N8wY3?KTc|UIR(ZsBtmj(lntvf|CO^oSxbH3rfe-w>P{Pg1la1PMq6X)fi@{
zifvTVl%v}}Kpu62g*w+VFfi~FPJDsB%FUZ+yqO8}aBAwwy|i3)mmZ{{6e5etv(a9d
zWC!(1a|~LKC8SI^8OQE6fe0cB2mJhiC2%gBffL&3$`vH6_n9s>z+vdN>k2kx<zE~G
zIKf7zm1O;`ltuFd^W-ZW2=r9DG;YWfrsU(tk7s^u`k4-6cCx}_?`8E5>)em-%Y>aA
z!=WSE^PU%GwK4$EGH~evD6RlS>?Vcf`(tmfXwQIvuyCa4t#RgUvI<gmY>#%ageekM
zRLn<|GIdl{Jw&);{^`%s(hd`hhZFia3^n*PP>wiDBg4Z<k>}QsKHwV&_t|?`3z!CL
zYHWh=fYV6;FBairfvIKuxi+_67%U`}=fslyDZJ9oGK*1AkKn2r6ZpeKBY)Qg!`I@3
zI}9M%?;$6LZsm>XfU6ZA^@zH8K|eiE$k6-(!`b|I`!bI)oW~Ui@#56z8X?5&LM2Cu
zhU*B~P7BxhV6;3lb9roZv>F@R6{rqr!3wcK*u&toA2UeZB899%IJ!_|GP^erK?0Ty
zG{twlmD#ARnxni55|1a9r7`o6C&{2eAfC~!@X`Bw>yd=pi8csqCo4C%s?Y>%f<Si7
zOHl-C3GRkt)M+gK7}En5As-|hTuPK`)M5(TIg&qe?g<FBDE_co9}#yw10TGOk0^`+
z{)GD<j4Q*H&j9BlA|kkHs0DTX)+Qr~?5DH+;%%@OAg=>hf?KELHGT)POPxOzYr1je
zd3Xz8>%{#O#CS@fgxenP4`AsDhKjhqi6!e27p*zc0`86=q6Y}%dQC3zBG_8oSVS;T
zt{W?S-NM2ii+@uAyUBL!z=&3~=&e)()rYt$2D_VWT*(Ad3%1kBn;C~NEQ6iFT~`=|
zy%?!lF3Apj0XgUvdWCm)eg$HepyHuKkv6zKfcAkmW7P@0izq0Ph^Vcu{)0JB;_3z5
z*3gJ79huCqwFBnUQmD?vjN`X&M`2I_9dqQ2$u^jQYG6DDl?V?Hkg{leIYw>Z2xNg8
zp?6A{4%6R+pRVlAFANiV8x+vO!$?3y+{i)POW+6$2*q9w%@NiKB^!vj85kCaBg9}%
z22L{*gax5!nW+fCL!c|P5Ra)LgB(v#7s$JK^LX?D#APK!n~Y!6*>eP4at-{O=vZL@
zd8l%-u|)D3+AwtB!!Y_214-=cX|tcYc!8JTQB{u@C+?kj<m)pxIdp;Gy)Y<14A8*E
z42Ve$^4k2Qk^JLI47v^u4b9c`nF4a5m?8xs7Sb&P)G;$uUmt+XdI<y^uJa(VBw2u|
z3qkc6)AQCp-U$K6CMkxoh(4jiMI{j8VIjcXC4Yh_JYeS`1_yD_a4`#P2F5v}xQwkC
zsOBR68xAUg-LOrX82H1<juN(~|M>AE(JkTqF|!<NZv9{54+xJ3f~Sz(_?}87965uC
zAPoA1Afx~->j4WnuDlZ@Y7bHrY6#|prP01W>0W^R$|UakflwJR<)LTm2Q>#26~z1r
zYs==)SpX#TMbU5sCBc}E*>76Q#^H$>Wk~NxwtV1hiFJse<BU+k?;Jpe)~mU3{|W42
z@M)o!eF3$5LceckxNj`@jRh#}#0^(?d|cge8c{C`E!FA^eeTuwO8+wvup>%DnPlFV
zm+P0<(P6F)#{07^bD0C#TBy6{#>GT#LV?~UsPg4vkKVt6nz=R(Ggityq_|R|8nqiA
zX@SqiKVjX5Fpq~RICM}LI;X|#7$OyUov>V>^GMd<$S*2N#swpSHtlR3ay6Kgf~-hf
z)`F2WpnreoMGYG6{bFmOk%4R{Dcqb`VhjvkrKPl?Lk4`1!;Dd7UnmT92>1!u8ZZe<
zjV(oEM0jzPJ_ZH_Rek&R0umyoA|A`KBqHTd92Ms3*kOQqR)jy{`p4wJ^)S#*$D!~4
z?0;|ArTGcYZ@dlc{IbxcR+f5<1+G-%st01S4Wfw@OISY2w8}%7EnA!pKF~yee|}TA
z?!+HcoBHZ#jF&8F{hWVtmFBB7QyWV;S8EP@a<4E`2)yH<T8Neg?kl)Cp1?Q9DGrk%
z1DY@NYSQQ#z!wm97lIOe$0si<dlQsBVfQoQK_=N3=6f=VMxpgAsSm?NJF@w=)&PAN
z{sZ4aTtkBo7vL_O`t|Dz5;tK~fe#lV7I7~LtZ~Q?uToQyObAD_+uxsb_)|y|NTmwc
zAO5&1%wqswJcX{%25Bl)JwXl6gMn{TSn@KnRWYzf%Wd!o{&BQ0CSc;CBZG(zt<p0A
zcx`BQmKgdWZX0On*{clqH$3+n1veNIKYp~Hq<eWrNFgzCUpviMU)a+}0nv2t`ubqn
z7x}hAAFWc0a!L4fy_ty{%`&w!WU$h$ot<pL!n8o~#56C=Cvda^jNoWKS1EgersLN7
zUwh(~23ZSS=tIgZEPTP#g500-M75NP2*@4)4&vfI1Q#LNc8D?nMB`8rcj{<mEavss
z<iLPf)6_(Pxn<nq1Tp}}cNaLY;$k5v8^kRY(M<dpM<!4*I?7MAwL5Xa9NxPMIg+?*
z51RGP@ZNR^o5L{AKpPnz9F#&6RT)!7r_=&ri}16<cDoCRLen;Rt6S9bpLiv&QQZr@
zJW5*|R(>Ic+~fmJ(N4eoL!^}rciCpmLk<QV82#%beocY6Y^ttKk+`FWxZ<RwL>{Al
zs4m1sTj)sKmVYy1#lVCSM*$G9l3ou}u{hvQj!8D7Z3u%oq|s6_@CfT!o}KhDp|SoV
zCn@A&_#2J?yPn1cjO<ezem!h5w779JZ=h+DVV=bc5s(SR4>I;aCZ^oAD+u$%loUC@
zuSxKnsk7o@VrxO04ls}tlMpCGjx*id=<A3p9RW19@7kXassWudLNXan$!J}6V)7HA
zMRbfr2Twr!(*eI<T$;w{0v=vOtXbg<S77<|3;7xQ4LsM)UtRq8Ye&+uCyP?>HSke5
z6p|emU6FZU6jH}kC&c|2gh1j{So`@i;kvf`8*cOj!}I8C!%tn>36m?XWnyAt!j%Sz
zIXO8L{@EIgnZl2TEe97IcaS7iMcg?1W&+w^*vSZ7)({BQfw;DklDKpRx(PE3bHJ~-
zvIVrDeB`0mJET8!bw%J+Gt`<9gSE(KsBr)DP!dT7)7;bDImDEZ4!IF39&wQ&y5vl&
zPf#n7n4SWo%>5a<fZHq~HT+-eFX(XscZMlW4pd5_sjG8-xAdkCl+BTqZw}QbQke6M
zj&XLAJgnS&dC2L{GTHMoN+#Kbac<mhXqC!yjj-`I$0>s=#8hVzn2yVl^q8TTfc6Q5
z8-(hDT>zs>d|^(GD&{c3mEg*rJ&;vimxt#+pjS<deXljO5j#qD^Op4D_;G3<ipzJ!
zpw577GBY(zjH!x`kALLri$~<ZMVUk{D=FCvxgB%>+MMlSijM$YLB(M<7W0At-MH}s
zoqte7#39`4wVISS40`(vu0I5ymbvA=G<^tAW)N`zgSjRySHv(ahSAceUyeZ)LWhQ6
zH$xA$Lo0G*pthsq+4;(iPv6cuQ2o3v6R~EZJ3Uj(%6}w&z*n6~Ka#g)7;}&k<u$dn
z1o}q#C$5JA`}Af0!Rg(k_#y(sV33QbHTn4;{^xwvxy;1N%R6Rt5Uui&<n(_1(q@}2
z?(!27`_5M=EUuAM%V+YN=VWISXAZR(K06qx08w$XL1J=p6?6m}xaT4p+_0QzkU<9S
zLE-@aOvD}r0)Yo{V<G&-Y?#O(E~S7r%Zm#vFxrHDiIw!cTHIY$RyHy-(+Hs#1l%i(
zX<@lD_Ztw)=jKMm$VfO(F2B8L8ee#zQixwh5v9ua>!+P^UA`uoB-NgV=cq>p$L{^P
z`_QX|c7b6$)2v%k;pDRdn7(kMg(8wKozQjd651kgVv$^zz2W|bvk;^NXk%hZ3|$!w
z%_F$*aP<Ol2y!VYGljjCoIm_=I4(u*)9$=Bew@tp)N<!*L0l-2j@cWGduML8G&b(d
z&<?~gC)@})=S}?QHBLU8gFyhZrrCuI*Rrc{9|6*H)_6XCilE+bA0KDcXY_m+Z6YUf
zVa;W~M~?<^r4qp_Ba4AvgSJM3QE~Vb{U1LjZ~!h>0*clyXj^^!Z6h`O|IqZ^fmpWh
z-;pFq$jA(-Y!S)K-kBjGWfp1BlC5NmLJ_iO$Vy5`DIrRzNFs!iRd&3e^ZWeXKcA=Q
zzOU;X$MIQ*yeb3P@Q`N)CcRBNBNF52aCL2nV!kctkj$0kP@wlxkYPzMKSKXligHH&
z^6yp@1YO17hjAUE3&Nhrg%_Gsv*FVTNbvFA$`cbrrP=b;xLN84MWz~KpK_qHJ(rlj
zt11HNP&)y`2xk?8;cF|5O(dStoM-1AARgn=#^8D2Jtr{)p!~6r9b8<rQDjOfHAZsD
zG2zOEtb2nXTMh1zQlu>5?^eV0O59&4Q}I;;Nw8|At2qt~eN-5<6;3U6Z(zgNKJ~MN
z#_2Re(&hF4PAB>AdG&nE-MEx~aNgfEy=K?X?&5!Hr6?F35f*^(*i<x?1t}dnu+?z$
z;sPVp9y%zTN%;6AV2S{n+nIviJ-%%^*81k}-CI;!+pe{5B$9m{0n<iyr^i*~GQkN4
zWa4H|aVtnf#D?0#XDeu45LZBP^_3ckzX=1e_rN?GQ5M0UOsS{;4wnU@dJdp&7{uL8
zfK}9;B*P2AdBmrMgE<F3v7twQrvD|5&E0R47$tOK);i6+7+Psn12#WRKPf5jymnNm
z<I`ime{AQI(c2k7?FFqWR%^zk<a7WQ2>Kxe8YFD%nlGdJRmG-5f}q7*S5Xhcc-4lt
zT>CkyxsLUP{HOvCpNo`Hl0^pRE21gUuZ*DHC6P*a3;DJYzwzi%$Xvr_CKU$m1}Jav
z9*(=Y>7$MW=P_WJFp96S59bJOP(vVs>qvkSs)!Si!H~orJRT3Y5`nrB6(KIj40vLI
z-f8{4w^(vJCPt+Y(L{?QVl%r_;={cz_5b`VMl+|GmAz#(73pG=5iy(L+k#J#bUtX5
zvT+HzuBCuc%GUcW49wPbLJ;02>>rfeTZ6r<PJZ4TzWs+{TKh(g`F8uGSu|V5KYqve
z08|26k61vkdQ5jwI<xgm%i#%%T0e@!9cuz%0|^THdk|;XVe_4<XTl7Tje>s-8$r9P
z{V()q1Rck#MH)^$WRP-~e&IwwCS4egaze9_^Z>x{Dz1?YvN@gZXh5L7Qkg9_77F3N
zCdsH*s4*?oyy5j<xi64kg>5tM-h;lBgpNSF3#YnXv40j$GMGH+IXO9r?NCQR4S?W<
zg>!1#Ok*yyCp=@Cx(v~-T~A1$bnLa|`TW+WBw_&&5@dvYM)y9Vr234;1OL<F>46cf
z15g;``{m^cqW?vU_{g>NFZKf7DM@Yvz&AvY3mC?;j{RF|Dk^9&QsPy(lPb!sT)VL)
zJgsOwqiU$c?{t%APehMZ(4bAgRRgrH@!h)^0B^(c=LL4oNkL|Z%OjsP8ukCV@7?aq
z-2T^0<@Pw|F))Ag*<^FS^u)ib=8>-eYD2{#gjbP^_gH<4F)p_QL16Ey&f0;1DDGBb
zFMbZVG7X_I=f6{<XwXFI$nskD!l*IMU&O1m`G0+u#Ew^X_<>F0J7)G7Lv@w;pOo2l
z-~LiJ_Xux&RCeJd+x&6<1kZ2fSy|ZV#34-F{JCc~lB7hy!ARKB&HiEw(JabZ^%wNU
znYzEJ|6E;PWh8Za)EFQvjbOP~2(0%AAw%}EVR64Z5{*CxWWqB@w3<cBN{Wi$BbXr%
zB$g2Hkk}bPU+w-C1KJ=FlUNy0fBCWTgw)|?SMvTl*braXq(I-cx{iWjw5TF-j6?9p
zm%b072WuUAyNiTHR?%!)!Tf+C!L{+@Y6=OG0qa0W88o*P*@Mcb7ifl9_tO+D`%U;Z
zMUU=%$#%&s^OlnT1FLH~0{j3=a3@ecg!R30P?20{1K+*{fX>9#Y2F)vG}w)ZQX-~a
z67q_BgAjO5+=@uSAt4!9J+AR*nnn6so5#@SL?-TwFAhy+mJfKWbH!s~ZI4R!6XR;-
z-pjvu!EItILhdUBuRRF<_7C}mP?VAb0vqT&Xde|TL%stCsJxz1RGW>itGHlX@zcn@
zAa0Al(<9hyNelcclKr-e+sl%=RXvm}N1k1+>`8RLKQBo~PY-}qsi5LFVpJhTB+<@5
zk<X+$E_Lhb>wo{KdM)kb`IGO(yo2d^g?NrBs5jfWJB7z<y{}Q&iu@D=8?Pf`E*OZl
zwO=bbQQ|_`clN6yAg1_k*SKM3+;%rIbaTHT(ve?MdhGhA8qpSu2fWa3;`oGnUkBL0
zY}Pvp;^_z6Kq8tepBnlo_X8Lv-3&_3f|<R5W5K}30-Er<L(5$cb0W>A&Dvj!{o80$
zY^YO9o_{>VZj_Z7l40wg;b8w6xe#d;N#G{#!0q#++P4c`5Oh=gSmpxYs?ex(pZ!Gh
zNXDb&U0?^(;Y=aWm9JmF-l)nz!Z@M(fL%t$XtKMtH4>oe6p#eGt=w*<`}1#^sRGH#
ziboo+hE_zG;2}VE>k!EB4Tnpzk|(uSd9j?xg>`)Q<9=Hn5*xnyDP!Z^xZ|H^Sb(LV
zMQOudHy=JeqlUT%IMh}w7Z@bg0b49%5iuU+<gfUZq7Y19pG6g(@XTxRqcZI|#O|8k
zEB_*Vfh4yQm=w|}upXUH_GGSIdbL78QNSI-!M}m3obG)Th3k1W6VhLGy*@0P*i$D}
zuU(R};~FiJp1-`~pOcNsi%U&1mE<5LKpiR=*yx8^wEG^OP*0LR)qs8u2=l;Dz8Q_o
zy+B<aHcDT0<}E$vf6TeVdHNE6Os+5-3|<K)0!+l@2b7njmmHmk*z@?AGtsEkhztQ(
zDqIM&I1b<r3qZ{Ywdbn%PbrFIn0l+W?ue0{On4TtBaSwuedDMkN8~}z+@qEhE#bd<
z%0pl<hTRp}TI*-J0@ERSgH7f-HVy+LW8jD1eW7~RfxbMwC&C&9lP>QOm5#$75&XeC
z>e&j(jD<9yOMGvVWIxHKMK6mq;dCgnq5hKssX%BeZ2vA{##uW7xKmOL4F$(5R^$yw
zCuwM}{8c%n^k`Z1#=Cb^ntk1bEdqy2RDRexCvmT*4&Txdz!EVZ=8;Fri)rw>sM+^j
z>1RX)?O#5>7DBc=s4DX!A+Ky)GX$%~t}QedP|l1zjGOuZp8NmhkdTZj8MkiIfD&d2
zH{^`yhpI?knga*q`O6;Abh~!SFHg~lPNaKPt*splqtcu`<1;fmj0*>e67&f3Ko2*&
zs~5>*f~HwCB;f{2;L79b^po8(E^Pi5aYgGM$$Tn5y938J9(oc`iIKvm1iuINHH2T|
z`q$=WXsC*Cy#1LoZQ#wx8H2hMo{V##Hn_OBP9lsG#Z61O!T8J}!HX!txei=mNc81?
zclbq#=pB*oW2<L;KXhsxD;58E_RBZ)43JR|<zMOVhso!EtAI$yH&7J#a4RN>oOa{w
zHnWiTM-mS3@}|oxTDXA;`VB)z>vRv!1hllUwC=<<#o-1_?iIlJL}g!jqHx8^>vym8
z3wUe&h*!vAOJnCk^w=qe!CZrc1%)ooZCu;)$}Ws(%eANBu0*47{#!jojgk^$flQm+
z4RM8VR&~cy?PKLG1XBmB-FDfF8r=_|g$5if9;cJ&n~z9A@=e5uGcyhFd4Uw)i+oLz
zQGkr6+PK?ixe=ZAGU=$XNz@dL)swPrOPkJ*lh5qAHIjO`6t6H?T7IOoQaFA3G_kXi
z8oFaxMDUkuprNv>p`LV%WkEY&UgR+|qaHIYOx83cyc9t3)Pw%1-z(XD_g%br5osAi
zcoE4+w;<N9$*)QP*c$O%XT?5LH3QOE932iewtahS;8Z@t(DGj&5ets<>>`Hum0EDQ
zf{9hn@jc{u4c>2PnnnPb;k{FzpYEuhS6fLLj|z*9bi|2|uIB@u!AjId614)1Pu%uN
z96o|(!UVKBdhs$k0Q?fs#vnt(9znh+YDWC+1r~S5JposEE9q9oY8byH>(RMZpUm=N
zy`;m<AbbCpJ4*Gm`@dNb$7;?6np(&`HS|!+2+T-UYPS;<`CDjKXUI*8`rKTX=wSA<
zUmgb@5goxPMd*C^Ldija{*TlRz<n2gTP=%$-Dm)(6l0ywc$kNWX7aw;y;?h$Rf@O@
zjf}IQ@WW$iym|B>`U%b&GXVU@{+VA5C|fjQVt7z6^XB6nJl`bgH`lDiwn_ES4tLh{
zzId@7?q?#@LYONcULpb^#F5|16>?{|d)=K3<di+jUzIm?k#((K_jbdz&Bj$SaTO~|
zo?`CIP9jsk8aJa++N@zkNqAIb@9q(jR6P~gCb8c<w#5n7=p@+cm_zmZ;4?=w=rrsB
zr%P@FfUNc9glfodc|w*jV&JrJoNNXTN1Uzw?tBAukT6Bv2s|<3IXbCWvtp^`JMuHA
zp@8;GaWN1GmQOt-%?9l8m472Lw1vWp3Kf)h<JC+%=`h8Dh(39j@8HD~N%Q&Iz%rQ>
zY;+hV2~>(NSooz5U6vDYuC;w7A7#@!ff&(3ZneFTG3MmyoQh<}#cCmYF?Vc$&7uy5
z0!%^?Z8t*r@*F;!gbZefMTciWOz+B)V!jc9*UYrR1s+$O0n>UwxQt;UFv$oYFP*Ge
zOcx-%8al7K-n%(OB#`?+xVY_U=lk`HR!>iA@-sW{+O&DA#5=k}*l$jr-sQLCUN7gX
zPp_>NZ`kDm#0<=7{f7_xdVfaqC>031GqSO11L`Bu)8I4^z5b+rWUVS3zPdAX<Hg)p
zHOu;k!sB=ID{|@Uw;24~Izp@)PMfxsZa3&^VQyvhRTo%lZfMxB_!L0u+w-;PCZfQ*
zK$eAbF;2YbbnG1Bcz|7}TRiVslNXn;<ChgnEH4wFIc{p;b+;+pKAUkh+~jaB+hch$
z3I%RG$FZ^THE|D>Ge^TA<fpuUmOcAO8Gq({Az(ca5s*W{FbE8A7ZE@pm`ZT3S0~>O
z)4sL!xGWhsxAU_NKlD<n$uhWD{9gK}n})r{(v29_SciLsUy$mSahS^E9#<@jKZ~ij
z4*R~c3uT@m5Eu}w1uyMzWxb#D;S>#zt9Me**7vXX8&52<-!;m4OZ+z5f)B8X^?hG9
zE;%>5^jD@e6L0`ca#_k*_Gfm>f5u+m2tiU`HjKs_W>(f{ff(o+X&BCmDRcZzZmZ6^
zR?A3RU8ADF<=ARl8m&wl6=cFJx%Yb30;QP0Ba&i^oDO8pyWvV8xIAjV)id8m%63YN
za`ELZ=ES@hUf=w$lmA|uhJV*DBrUX7{ghdcQx-8m@k(i%U5#Y+^4snfnOaPMH__GA
zHK$)G)5$^WEo!#qf)tx+qiI|+_N7Ox4)0Z9_HcT5C5YqguQd*ll0#Sbsb}YJ-XJ}4
zP|(3b{72;1l65#Hp<~XfPyJ`7<`mZY+g5l8zR(Uc&$cF0L58r^^hFC}2fsPnVUOyg
zMRz(?#qYSt^#gY!p@xWUx3%pPb=&PXnKxo>IB9CR<ALxGuCIJ68@pwVeeEtXadz%{
zx|s03?g$J^2%14LgR)2Bq08DGV>crfDyPa#&$vW~{iD!sAb|SFKjp3!v3ezQjpyyM
zO+H5dYUT@p>w_a&*)5e{x9Q+LV2ovtPdWvhv#?R3qBv%(95TmVc425*uhA&w0n0@|
zYZ}(t+Mh>jctfMW+rWBr_or5aRqV9y8jn#-Lc%K)p}+^W;QhTu&?LIPysLGqC-cfO
z%DnHCBoD00RW|<&{m%dX!+W8rMd#zk0|fXAj#Ec2t|`C9t^(`|w#@FWtSZA}=sF1b
z3D^axMWp(`Sv%kNbZ#F!J#2_WD8GL;{r<NhRwqSkL#qHu#*<^CL-{6GEgV}nY3ea$
zjnrB#Sqd`Kl*WcO4pOe!I<iU(gNlS}Bs4nO83qq@V&I@M3!cqqp0IpQt?RSjP5TLR
zbg|{`-6KP1ZkiW!OC|n_@Ecp?LsftGZXKQUhKk&9`<?F=H+G*uqGpLyRc1y8bVtTT
zo`9suOcr1_Y@f<!n`KKIx}ka<E8p5a=%izoc8X2VA!YXXKp?Lmf_qye1FUUvK0@h`
z{UCV5;6q9e%NvVk1qST+Jn*rJ#qdFE2*}B#x(YoC@!cc-j#Tc1D20fP-1j*DkZkH6
zs5oDz6->+W?t^T=JJGM%(&k=4MLm0e+>QGq9ZHvuvv9-y{&i^Zfj=?NjGh}_X_rV}
z4P7<Oqt$DRv@m6t6lMPxfmqNtfZc%E@Igv*0w^@}uw-BgZ~H$9(~>jXF9#?R{qthf
z-`l@?_)IEQe51yR)i@zr$T1nr^)punM@Ht>WS*5R*$&+pHD(?=6$gB;e#9EEJ)8t~
zFAWwK76=o+_tLK;7cO2TgL(kx!z{(c#&(C&>$iU_Zke4LHypYBi;V^QR>of%-B`-Z
zE_zU9VLU07`7Apy-Q;<zY&F+;4F<v$ynS0#PqzyQ9l>}-FM``fVH1N&@jHT2L7|_7
zfKSZ&(aKu))itU9>!y|fa73Hq*UuaHU1u-y@cCNEW;`}W$*rV>EstoYgfdw-Wt30*
zkvYQ6%?%$^b86%wpAgTAqF_b|tZ&p1SGH7PAP(VDaZnurL5+Gj7nmIJo?~{<L+A&Q
zaaWIjeQItF>ZaQyN_x3^O%s&jv#WC&FMeJe5fA@SH8A()*LMS{g#~)es~kN&Js>Lv
z2L@u#E<$U7n2cv-?vcC!uM1bU2-19;OGaVo;OzX0FwJ5+1<UhLdy(}3T~``<GSXhd
z(hO~QBoIs4GhdFwi-};y33xEpp<dKtTrjc98JhH&32@+y|Gk<_&v@R1Mpb$A=NQq6
zVti4p)9sewf?rD4_-}lh<L`GE90|%v*bnyrp&_Ab_1TI6S?XA9B-E^KZB+qOo&z=y
zQe`0t(Rv7;2!F^<)Dub416cnX9#yY>gz`^8?J9?l&-~wzH(}>aR(cc<4~<(2)=z9e
zp^Ol68(wb~!P{2E5wcH+mPaDK@zLzH`<ydz0x-~S+Ps-ef>=zD<mabE%>X4A8gTNj
z5^p@pX7C=HiBd`U<uT-2gMl?~9<O_YT0vKUX?G-NNYgU6Mu`97iPHiXI5K`sCT)`(
z`1UV>e`yKLEl|an$t|KN-SPg2Rs~8Yj-yAL4;?%h(b(dRdkEj>{f7_VQOrW&KcwFV
z2(ys(%vCQh6F4-fxAL^2dLS)0bYAErzk#DfON4<5rgN88RM}<Eh?ad491fb1n|^Ox
z65ru^Yg^fcbJZb%fn|3JQ1-xg_onJJP(8E1(=wv=d7>Kka*pN37)&p&!x5$<fQ?5Y
zZ_vNb>~esTgs6J8wKsy$2JZy(y#p9wLPQZ86l6FA9z>`Ec#?w^!$WuM{GLBPX>#TK
zkCv@jLe0QJsjpd#ynR*ot<hb8g99$p42XSzH+22xzs&;ACLd;nA*iD^Rous;y~izs
zep>R|@1PTm>+#G@^AArLGFZVcD2J#<EC~Vz0}e-F+>B)@2lp=)114pWoHlg&dB|zQ
zp;aI=t^J~>C+X5e?@qsqYb_6Vs~Wde^JI4Ylp2_3V)_o)5z;Oa&x>G>nO)ZKWdRp3
zL)e3imDPUXlBVHr9vhW>eeqiH+XjG&ELw~jq3UT)qX)4A&Vl5F;AW6SkBpKIT6rg!
z@*r2H_;&A;S>2{=`r`=t2yNtl>^ZYmc`2BynA;+C|7vsn8>VWyGxx#4mXk1C9z_!L
z(28|5JNy-?M7*SE149gF^1HDg_n)`hes0(!LFIRS-YDO)iXP~T1KtHzP+^bSF!EHW
zFz-Yib<P3Aegg1wglda~iAPX2_+#!77ELZ<`k)VFV7F444qQ_u+ywjP%}!A{3+=bg
z9{U>N?Giun!ej8wme89gdMfg<-a;U!IKQ^)i_ofBQA@4f$G}KP3_ln54<YN@N;Sz<
z*EBpRzZ?v~+&Khk5`8cZz%mp`iq@qYRF9)Z$5g*kT$M;o1sbt|i~)ioN!XGw^^i={
zW6gqB7v9(BXN+@r>|O0MkG`ozgY?xQirgyy&-nr(KDN(ix4gY4;{Z02z%=M~@yljJ
zEdlUD#g+y)Gj!8;@s!f?^EXr(IoZhzi!ggU_U4F9JC3RyhR6G8;L89z0f&imk%J;B
z49yal*yDK5MB{{S)q%`k^A6(hMrx7(n7J3N28;76u^%6&L!%uUWl?O#{!;V#Sdrdl
z8^cY<rzNLGr5eN8e*Bkhx*hUP1kWV6$Y!dgAIDGQJHbb(Iyc#0LdSOXs_m(`H=D&T
z^9e`3&(tb~Mi;HkYp4rmoElewdjNs3$6@jd@mA<A3$8l3To*#)LbAAU1{1~rWNrUT
zpJnH`CxF4zgkpKaHfdk@es|^q<LG)Ntw7tNUuP4tcRo2!r)#i1iD?sV0fLSJnTNIN
zu9Ayks=X0<B$8A3uIqz3?gF$lFxqU<ix-a?UA1zud-a83Y14Gn&Nx9Uq7Nat^Vo4(
z{)v?^SEstMo0*#4m2Lk&`5p}via3c1cch??1nz+;QhpS1d+c=2EdTP=CgZ8<1J*^-
z{fV{tx^Yu!^YOpb6LHh`kbj{!JlW@fyg`EdLuE<$WY!48p;@K2PQeMYQhS`jK8y+v
z6T)^9Xs#I*6~AXBSJpH46GBF6E4Ho|J47H(NIXD~5QYr4B322jTR$7E7^sNP3V^+k
zMa=;KE>QBt-kNdxav!i7dV1oQ4)Cb`7plv|jvLNn?w6Hbf^hKYobK>|xVRp>X@|E>
zThTb>LH;KfgKlN(5yBJQW*9Q7Leu%sy;~ICZtVwqZQu5#8uZKw2M2YSt+8OV`R=4A
za@`#5;d4@X_M~a}+z;kKWB&^k6^DPKZ;}BC_1SY|NVn7<xwqJtC|5T^^o~Y4EFxlg
zFbQ-A@oC@;hp+Fjlh|sW8yRc$JZJ;6h%@yhkI2WuKhiLuQ+)7@&ejjr^zhoDwX~#h
zJ;W1GQ^SiF1bc!p$Pp5Y>NY7BszBtF67ZD>|FA`n?DHJ@$&6R8bi^myeLG$*@A>Az
zhS8WvkGc-(6T(0pX=!-34y6vhLc&s_Y&+w+|1!N{3|wfK$wea1<;x@<3qe}?UCV#1
z@1Er!;G~f!gTopcNcndhd9E)MwTCn#8HYUbKFWK4bi2Yk=<UL{|5h2R6Im@v|JL5V
zW!iFxnPxjXN9l!WeqqbD>Im4S;0O%Ey|?rIdv(4;i-W<=Sz;j}A?jUP#&w70*xfwj
zYW&to{5J0Vw7t(j>Z8Dut4(IN$fO$_x8^dGZS?;B{&@cxqWeWzGZ%h&!<2!NRUKCn
z`AgVg7BXhkL`q3iP6(QjQ~u$t&Ok+iOc8Dge8hQh=#56>o;1Oul#vmtv&B~Z$;knu
z&o@xnS%MV@PO_X~cn^ZTto&ddK9|Akn?Rab6)~+tPV({L0`sh#7UL}4y1Qp_8{JJz
z6cXcR-T$t}d+uT@6@`y2qtbzp{gflS^uA3_u4!(f18OiMEd;TtsBO)5&)MYlIhYxW
z;6))ENvau{AuHvgx}dF~jUp-G@J9@w!$7irEJ{quhX`5&%;)u2_&!c=6HF~^21G!n
zT0~$6W=CvRW9M}8ai5&FdfoBHX=+fs=4t?pph+CJN))%UyJ@2n12PqKH2x=qf9LMX
z-VANhftz`z{ecJYaR_Q|)Ti+>FKG!Lz0h90PxY`MQ2<NP>9=@5HROL{Q^LuUX)4zP
zYk4+fpwrPxj{|v`hYgU~OosEQnr#mLqc02BVIzX0gpo|gkEsJ-#Y%DNqJTnSM~#YU
zC*)o`Gr4LM`}r`+Ck=WTa-c)JN17=ok>a~FqcZ#5+VAiN%v-<QDv`dE(ZShOO+}@i
z?PsipHCwfGupZ)DP7bKWn@cO;Jwp;Nh8Lldl^r!@Rq6np3Z#f8@81jLX7fpp=ZV@S
z^gT%gB`y&(uYi!rL#C!3Y&SS#k3=5P=j2n0lFZcpfH<$pj{{Cn1MjvBu*rFFXqk-|
z>wrK(c#WLvcBsu^&x$QD_5n730GPP#lcD3x3n2v4LlKMwPZFh!z~Yx+1U`HIU}9lR
zZ@p4knEhwXMY<vS=8Y*8jnooG${Ge;fiz=e7OaOp^#;0H#6_e0LH6I<4=(M91k>b?
zC8Jm|cQx@;c|SOAu*QvZ+zO#LBh;;}Ls-R<$V64B)2?ao^MN@+0mh^3gR!l9nZl@o
zZ?FdWx;rW4+God=N{*R^(gmm847I(_mnDGIA#gJ!-yG<U`SS*xm}us!y(f8e!@@>K
z$E7YbF(5(mdTJ^U;sz6P=w59^1nCGEWWqP7G6-5UBqxX^IbbdkZu$Q*5E1BG51|0O
zTBtDY;8uYZSRIMnC<ng-N<~24H~+<gx=lc64N;Mh36ZFu_dsqB-QwW*c=)HR1L5Hp
z(;elqH(T(VP_t@NLA9W<qd$n3w`mxjbTd2&Aag22yQ{DN0$S6m$*<GMnxh~pTS9Rn
zE5**L06JX!;^YHfw+`+&sD(Lr<rZS&oyAdjzTgg#W(O7pVSqPp<m{HJw)t$@{v^Dk
zBhyY}%rI<|rE~R@XDXp|s?hvEI0bpf{}Lq;c>DGQM2S2H6t*#OMWWR@xVEydZgt5m
z=VF3XlH(4!t8o=|qAdq2PeM7h4kY;Fr%%b;30zFXl#Cn5l7*66%8>@dNAsP+sX9G?
z2#AsUflNPVfWnXfq8BF#@v7DvH5=uPUuk_-($Lqo>N_Y*g>~}usbEVa4JCde7v&cc
z1u>~X5)xQAa0@DT?vi82+z9ZkZ73EW9F<Uhjnf_A2E2*t@KkiO2)}#i=Zj|tUoam~
z0J!R=SO0k<k?(o{jVhnEO%H9b`yoLS>PQ2M*fQsnR~W85gU|}LX+*l@BM=;m`gL<N
zEgF6(4A41_EN*7|TIU^cgg;&D?>Ocb$bT4L!!iJw40b07rdH@SQO}q`?$X5tS@Lrz
zx=?L?hh7xh5kzspG!%X90KM?rRzv!KSG~bUCvo_wlGlGj<$k*FNfdKFv+!ZdZgo)$
zJ*!MZam!+EzWWSM>r@z7sQDS6$jg&FR$OUh@EiIL7+Ih}^O$_Tp1+~t-Mh{#>yO36
zb@(Bp4lp9(wd1io5t132TC42dTk*WDEgJt$p(`z%yX0mEIYGg|d2h9n-WvI0@7@K(
zIfl|u9+cJKDTxV<^Mu&!1~8tyk#hhHu<r*ao?cd5bz2iLX-Gy(`5q3uk_V>{?T>r*
z(V0HL@_T4i(_kOyEU?-J$t?mqFso(|7aP$9!gH93E{BN9kma%tMW+L9caUnUKb1b9
zJt)RyhS1}344qPuV<aiwkgIsjt;q3MJudsRB|IkXZawJ?a0Qo(t^9!19FN=F_e*Q|
zowQrely>jdM3U0N!s5X2K)UD|A=Z74Q^#TOPH@`b4hkIBrcapIhI$G2yiSXNmae+l
zwo;wzh)^f{2<5XCt6#icHc1u*G$`_PQ>X^6GRAG(hp=wpw+4*Gz|IqmLEG<|LcQqe
zAwp7UG1EcTK0Y@>S7;DD4j!%z8xeI~l`!i!ZA28U9*5(H=;i=p##^gk)F&rf?opc6
z=+s&Yq}`E8nvkHJaB;aaybo?i62J`V$C9<b>tk-lGo@_31PuWuMkbE%ry(1sOH0XE
zNz5^Ug15Z#F2Ebo=OffA5byU*qBC<i22`m-eu5-#<O{|+af;)c<N7~R<)@U+$43*S
zlISt~u*8^R{d%XEr@2+Kwf>bU`!LF4Wnmgrj#P_WGN3|OaS1#N9W`_)bl?f$N+EQ*
z?Neum4gU<`wn>K^2;Gh5u+U?G9_Uw}qXH6v=P*gP&KbVSAt`pK=m2sBgTr(h`wDZ|
z0C21W6FtGmYZPTQOAivW7>+L@V)OIpFclA5o%>R2uetkBvJTpY@;C)#HA9qv8Efo+
z=;(A--Cq1tz~{kD(Lsg)ZsAOD?<YcSth#1Mgemq)?#sO8tBIN#Yrtn_9z#GPI^!I1
zv7_1{p4c_JGs9<rs{@N7T{E%?$)`gqFtXBjkf~KzDP?iP-rz2eV~izeNAr+N(469k
z(g)XG?ekYScEIj+N!UyKipmP`G?3Rvg7!l61m0Y#qF2KcgpY+sYVgs-iMfP5bKgJ~
zzpn1{7cHFr2M<!I2IeHNZhLhz7chxcF?W7`K5$9Ri&MAtJ{SwuUYZ^sAB#=86$EiE
z;vYyeZS~t9Sq8*Xh5rGw(Yx-h#;<Mk5mHVJ5skRu2gZLJuGmdHBTiBvK4s>uWL5%p
zH`IDrSdkd?zz!`Afg{1F1hTlai4edIGE_`zdV`-JI}>diF@remzX=0DON+kw!aF#V
z@!&-qV*J)@Cvv(Waz=S5Y$V~F&EWQvS5KcJc6)U+#jSJx;rE!G8fS*%L@W)9Bw-pP
zRR|0>jyT$h{TupiR6Ka`C$PPUKm$AM#L2v43UT1WN95XGxAbzViaUU#uQ=0}grxGR
z_aC=<CB>mfl_Kf%3hV#Vh?A5`5}^j09f(Gtvt%MCTsEfqsgq>B$`qm!p%<d7M-{j@
zmV5uO5+6PcLB-%h$FBg8h#`7%D722lNl6TV6AKSP7=Jt9uWTB|O8b3KCrdY!ilRDN
zS<Oa(Lr7QDW=a7$FBWc!stjc66sXA@=%%EhNrJ2Zpdo5pNRr5gCbLW7XzJoH!;lXM
zQsJqm%x>Pv${gx=inm*(I6FdcVW&)i<qr&v@;rU$A|gvs^=N^{U-&oQkLD~L{2q=x
z=wp`;y-Z#yIq%_N4>Jx9ZWb_ou&RWEgF_=jWnB4l7S1sl85Y2xxM9grhPsl>c6F_C
zp@m3!F1ebDDkN>MM1)2X9j#nYLbR0PPDO&fk~zVZ{f!XHlWYl+_KPOF;L3jFj$#`(
z0?`6io(6KjH3})U<Us*GqS1`FR;<i%DxZd*(ZhB<(gwGWk59cGH%H8worPd#t1g*R
z`Q)MqsbFD%A>`!Ntv4wr)-T!dWhV5)l|*h)gdz|R3}T@Q=}W;NK=O-R{Q$UTk*$C)
zMj$F23|+rhZo$!wA0h==+#@wnBW(fwjbTXVbf@_<vi3<~GB2;Vc<aG^>e?~(>c2XE
zZSbCynfuBlY2qLe#^D{Y#oMU!lSsJCB~8Ysc>#GBG#DAOJ_aUM_wU#?647zP{#c8m
z+cURk&%N9G_RY7-Ehm@HpY84KMG@V=#XWnISPalCk<?+>8TjwCylHAm15l&rzsd#D
zo|GBDbh?ToiR)mbHATBjP343IwQiCJSHc)OuU@43E#~%QxpItfvMrv#?mQ2T4>?tE
z8IXNJ^rJ|0_=RA{`+iHhV&2NT?rSDK1Vr4`?T)(@JAKDX2eNI*b-U^ff(!*qDeSvG
zLN_8B?f-8)1aKae_op7tY}Zd$@wvp7^GfUV=NdV?%I`R97AC6t0pY>ea}PyY1l&}x
z#I@j4;|tNF>1eSWn82}8>eqMl#+Dt?j}lm6Owz_tjCutjx0?9m$p14<ogi2&EP-%}
zq68x57DSx|Li7(uecmG_J5CdmH9NK=;&+fak3C>6cM+fr_Ply!Au$?};XKeIn@fg`
zcc94cF0p={C1hs2{T~0>zt?7V{I=6#Vr@;TbVDLWanD4U20xsIA<*5szWa^ocQ|dJ
zY62&QZ`$;c{sB}!K-Aa8hN8F296fl<YbZ7$=+mifki9q#hqHX<`QaORM07V&fv|K)
z4+4$q)YQ~BlnE=lx#f+2_i%7>7S<lbrojk_!-gpd39KOeO@gn(>rGrNm|ua=N!41t
zCss#}JUsQC`jt_#&J{iWnc9OQxAz`fe!l2SN<B1cI0DFIU>vK706X?!mX=EO_L-@v
z`uFdruT9HIfDT59uLkD|Q7PV2ZYq#jr>b({#Ew@>PgY9Z-HH|b5@GX&w@(!~7ctl&
z=MO~*k<6d%NWZq$zVJ5rHI5h9{R_AS(Emc*ayXX~A=yx*5-%ujy}g*lwQPlp5P@hr
zC>~#2rVkIi9e2X?&8E<l{U08hI3$QIE7|!XR-l7Grs&8#A!AuxnKc5cNa8yo;$NA1
zv6VRK`gl}OnSXkGLTTG>Lw@u2bzbxSuLkxMPfZEel^h|N7|M^4M!jwOcEqw~L;i%s
z7SzV(k~av4SYIE2lZ1?NB*DHC_mo-gYsx1fsOZoGBKm+&Sk6$7*dM@-tstv$gE$3g
zGLKfA4*N9m<sgULyopAQ^Ya?74Z_r-tPv!98LkvOOgOARVfZa3WrF<jk-Lz%or9yJ
z)>eV&d=GY@Yg-4XKl#T$R3XIT3DYbFRc}#2)sTp13hDpZvy(o(e=1|xmv`QNL(W-J
zZGuB@n(ILb5xLLt)qsVl1g4^Pe+?{mU~xUoW{X!pydFz>3~gQX7+pPt;*_Lt;q2dy
zs3`C&INY{Ec~M2logbmWpJR|}@VSh&`Q=X4fTwKlG@oN6=<J2j{~SJWpv?AN?x$#`
z@JD@%ip~7fiz@IJCQj^Y$Z=RlUVz-Ox-)(92>*n|);ZAi5169l;MpHLU)HSOD%+%^
z?eSCk@5BVm=qCe}uK_(n2~7rnpvBt8%nY5_MyS%S)N(!X$JEL_@BjoYeARSn2%R*$
z{&BT+aYD9|>j^4<5+iJWYBvUI5a}{|lBN~sygt9@v;d+8{r<^=r)y1;5qYiIg**og
zQ*}Y9if=E)7}408EV+K4*|wL(xfBe2%G#1j+^|5|rYWCxbbR?=sOK=saLkB@^%)0@
zVR2o`mps#KTC?3orp>g$3u>pC`7g7PH`SO96wLuY4c+Apl)BKl)<fot!50T`gP6u|
zaRWjHITw6L#}W@LvQJqZxCnMyKw6pvV<S`2^X&>qEkPFH!-7*(o11s6Rpgs7I_V5#
zD=?KPT=?A?)>GNVaG;F>?I039Td}1OT{8^n(#oF?Mg`pIK`~yfmQeP<mE4R%_F+|(
zWjsa8790tvq?3oAp8i<OO+sgFs>|vx`Hqo_9NJ7uV|+TBo2HOi8`#(+yRxOF5t2*K
zynuJ6W=m?7kZlefP<)|t-s`ZO_(5Ai(n!V_bv+dmgs|P<zC26gQ&~NC9e*P~4jH|o
zUyoWN2XB^QlrbcJ<RSnCLD@UE%Pik?7uGfjq4*HCm6n#=6OfY|PJA!;^{})w{p@|^
z(EEMs`}Z{6W?FDs`lI%DV6t|Z9v}wPEzRh{$fVQs%Ou1(;1SK0Rfe!!PONrgkz}p^
z0ep##CdjuO0W@v$#>h9qG4+6B^Hp{Zj*$beoE#m$VWKG3dj2t`n@`58ksMJUr+Yij
z+>G)WW6-g^XMTNBbK<egHx0&z@|+pcMS-IR?hC!WM4YrKptO9G^4<1ZWv8C#pLcK|
zn9cAL(3>+e!}`P|_w=a(a8*pJq1(3Yw&>^K#1qEB?~}yzlsD%VW8-2qmm^vSms?z>
z85`y;qVIyM>2mr_4=6Cv^lxFBTyEO-9pOKA={@UDVu~{?c1{pjlkg}kJGII?)wB5c
z3gWg;qrJkIK=}%{2QK2?BBQRM9(K0!B3BG_E2wGfKKI?mzcqz%nou;WgOu@%>RrU-
zc6gk!g<HzgK=CcjPed>bZVqf8oj3B)KY_VG>5$1EP*B*$%4#9t3k%26k%W?UH_v7i
zW~$#2_p<E9XfhX^cEIpmet!Bp`hGoZo<M?V-TUw8j2L!<Jwhb0xl^mtYfONTN=#%2
zwITk;6C`mIzYKfq4{nHNO-COn;=o7KfsrLYa3dlOzg#7kVeJ*Faq$#|oqnt9ybQ8>
ze6OG*CP7#tJ4`T5=s{7@B3evZr`|hcCOU~ug$(H%8tiJGs(zTVF|z^R-E8#7e!yO{
zx3cT|g6&_u@_Ln<ua2r3-N^vt^)NOXPaK&~M)B}x^5a&`BYXMla{r8f-q~wL16Uaf
zM>WEuLbQu7kEuHlIZTPpmY{DYbi&7jx_WDF<b`7W*C0^<9?jvq`5X1(U4qqOznfV3
zo%)=yVJ7Q}L2GM-z$!?-4<Lyf8XE96V~-y7^dkAvzY5GZR!1Tp_s19w&6>^*l)yV*
zXAWTx!^&ry*SyhA3MeoDDjfAGh2;sD`eAHr9Q(HlK3&0^G7%5AR>A%P3KR+e+RBbL
zw9M~w%=HCyOM#&ka;L4m*m`j2ZZ%MGB4DrmylPSH;RK;2x@9sRy80MmNOZxGZJwA~
zPuLU>7GZvYm+uOkTGXmGHivP>Mf;fi835x(T5W!@4LDHI6wQcE#v%F<=b)!eB$gR5
zI^Vn3D{H+>QeII64tp(OM0Z$rw$mdfyF~z-@5;RPRoogp*_{=3RPwPG>S0y9P|)fk
zWs>Ds@3<tWthA!t69i3ypi*Gq;W0#F15^~a14r^GKI6#&VU($~+eeUO)DPgyZ7!#S
z93zFn&jUK#QoDpiX{$HSp2gaL6HKCmx6k#`Bb}FnHoK&WacmPYPa?xxt~jHzva)Wh
zrv&8&+G6Zz^HN4R+l|bhpGqT(uSR22MMY&-IJ;?xK`)+ExM=)W_=3Hz%CmGG7%?(1
zK(ZGfatlV1BwgIy|Gn+@d)w5+yLT^xkx{!1TTvp%c}=-Xoq5h7NbD=yAHgD`1x$R_
zr+*x?0hrLg5XUgCzTJc^#agfay3gSi9lC@&Zld?2qTb5dF8_tB6Xaj)t*FCob(?5t
z1UpupfxU{_7RXbI(-QnwEnQGb0nQjf%UVkQSV8UJb#P#St%IfX6(ap$sF8wjo2$1q
z(t3?+q;sv>jE#e%8AEoqA2`PgO$He-DR+#MjV+|Q+AH?ZvBc>!OH0B1CM{X;jga)o
zT{c4+&emRyKak~w=ZQ(OTB#k|`dueJ8f?k!_gjv_{=$T-l<$>^w8NVJ#F0rEUa?hQ
z;1<92X#JZ1v5OWxz!_FnmnXgGANPAqSR%)ZWI{o<=~;9yF*!NXMqC14%h~ycj(~8-
zev)Y^DJgV;#sDn=vh$qAI<m>Fi7(Uvun90X(rLlH!v<tj>2P;j;{ADRuJ3Sc5<~|5
z8(0LfkLy-j<tp=<k~2LzszhiK_Z-ta<?_a#^`qQG=pB$7+)yPWTA1`E@B(<o{{m#+
z+3B}o*n~s?mzI?gy)J5&gw<6As9QfDlVFXQwLL2?E7dF9ESldsv1)X}<(T_doG!6D
zwF@rN%@=k1^;NpDkxVr75qIw<k@?xMX5O8sOr)sRToQMh;a6fZh2kq{N_WZn*d-uC
zQV>c}sW#2towF|b$HB^~h0^()hermWL(=y+PxPFAoov+6-^ryw+jHgwV&@PfgUW|W
zkS!Ysp4{)$%|Z2;mDK=$(rjeWl7$<|7=l(w8wPe*{I&w|UD@wFw=tV;?QNApZu1OR
zKU|i$WceW2$Hg#m>iZAV<-Z4aIPH^?LSAbQ&STPkVdDZ*RmII_BFLQ8!eWpr6^zE&
zWw8VE88Mtmr0n=hm|fN}F_l~DNzj~Fi?bDOc3(5FO*Zf@2d|TWK7{OKo14u0AOkDv
z8LY6Af;tJ}0m$J6F_8u4v<-2R$0sv07{<m+L1saqo&8{NT0-ikj_2~%SuE>s?w_nX
zOh1$<7N)_BM-2!MA0Z;^S?m5lu052-ehE0~R+oNCR5nl|b*nCHm0E8sovcSZe-haU
zkeuu*^wnuaFTk1I-FNv+!s+8ErvQdTJg5ttv2}KJW7z<n1IZ5{M}bBKyXqq?9CL9{
z&=JlM9TpkXMBM1TKmUP-Cekp4OReP-t&<N0Z&DnzlnO3Dc^r*<00$HVH-eRW8tsn-
z*EoM!*aT+Tx%y*6Lx#?>^~sZhK*pi#=XcvDDan|o^P}_Q*{{4UO~#ce+@K9ecOd*G
z`AcYcIBZc9<=elnn&tk+yF?vLlKYR<`C%-S40v4!G^0e-1)YLvouPY&sTuL6?Q?E>
z+1F<~{I~bhC*F8H^Q-Q`!)U>HnHV{iZa{~^?`CFXbQ6dVv#vLw>R*eSsY(St?%x6L
z4cNX;;Z`0tw%2IsHt+JE-UZ#H4&eAxJrzPErVj)FIBLJOe*_0?0S7kLQ7m?}r-w`a
zLg)_vl~_Ql1=ma942pd8=u+&n7T{ko2}$9+f*xO@+9XgrQW=LivYOvxQd)n^dEX|-
z8O*?qA4!)l`~Wix>yh?f`b5J>z7M)^Fm1%pfJ?~*7a$R2fF<gvvowkXX)<taBM}+G
z0Z@>v;B-pjC;!j0=$6?ed>J${@MIMglhLDNPj%}e7@VH|0>;7O^)SKqh$RVAM2m;5
zmKI?jUy$&~cTC3PiP&wG#<w``E8rJlBbmY08sDjnk3b+cbl}8M9=UygBrQwxHlDeJ
z`>&(OkjsJ;6XUjgSgSN2nGmzyyZ7In7<bX(62Xa!bZ?<DWkgVD{yJD!{e_7WZthpO
z$GgJ)+bSkJ@0zXM4rjt!=sjCEFgmJ(ZGRV-lxaRQ4BN2Onrq7fdUHnfHvG$_9>aR6
z%3eXsncCYq*iX2)>5rLaW8(97U>gPXFB{ISu6SvvJUL9J<6+6Vr}tp0{j07n7R0Y0
zpcA8@B`&C}kN^ob9_o7RgTt>o*MJq!Ko3GTokjN-tP`B4CT@+(*&Ya`^II6$NJNBC
z_yW?}1vCg=$GoL`&z>nkSK|nCEVL<X=o<0l8iDuXxXkg$4oB@rf@YWIC+$WLJjM}{
zAN>iHaz?=slkGSNLqR`-je)F{^{Cb!KzNYO4V}tgz$^;9p)$wQIayh_>f5jkJhrT~
z!^2NfV&es;KQ>`~jUv4U8;pQ3IJag{8G-T+2evu>?DDTqu^2*<i05AB_kx-n39CKN
z?#-|W+q=1I;%(1Q_JeGEq@wn4Z3On0m#>8`8xUU<xXI0ZAy}S~z(YU~+SK|~*AIS9
zMEybZ<q?g7%(UnQ)j?pF*<8jrDlE;MgzMoLM}~K~SS&xa3n-on>Q&N4qTnYpO|j=m
zLefk7QsJB;)ak$&rm#HF**3r}C5I98yY%97l2XL@<04{#J+a9@l}4Z;c3x)8n=8M5
z8^VoFrtluVhb#-gGo}cZ0>J(f{!F{kz0t5B>|_c<kxCLt0fjhMzv}Bt!9=J$vCp1B
z+Ykk>PW%u~)+ST;e{}*J-2(WV%r(GKf)@pe$Tecp=ZrAJFDBa=%Lp%@&x&F8fK*`1
z?_)ZRM_2yMFRE>ZV`zyPCJ&4>Jp>6a1|sXExBtS093`!kl6Qe3_DCz<6>S%Zs+7M#
zgQW`$L>1>K`jmE$K73MGLsO1E$FZ7^NWyTS)XaG^^>^ygW|Od20^9;_BUB!K0)1xE
z>6BytP4#L=qb1~E!phEnY<J7!l?C?L{4pqa@@Zq(;#v!~0#3|D4~_R_W!~~Q4e(?#
zR7#9{HkKCi0LK;o6TS>;2+7gY=nL%8&EbwNvzh&G^7ezdwr}`vTtX|BKRXwfmI##s
z2l*$ckl-NMBPW+gkV7=T&WYDSE)wAdhIAmZh)R{=irDRQeZ5=nhn{2(sz=wk*@?tI
zq9P$vTmdjc8+p%-DM=m-jmJ!<&`{5ltniA*S0^}-+8XTo0n9bDLmicFmWVyWP2cR{
zN&sJ|eGneeYGOLrPkh?I*Rj4V1$&h(!CR0a#AJ*K&KxKUS%B&ja1q!+S;|Ia#k9rl
z3^7-GI=NxfWlHtxpW8w;EN@;5p=Xh&Z~Oe&ie*npQBl<G+h*xKEy-&F@=r8!MIhuM
zzMx>&efX*XEl3Y_wCYS$VPT<O=xRTSGDMqLxN9s<XuC2Z9r^VGMCk5+$yWeY0f(R?
zmKYf}gP~5)djZlVIUm(udmo>70I_>BL7K%tk9Sg*{=_%O4i;LhFzastvpAID3fILl
zx(mM$p05Z5U%?zY>S}7AkYe?zQ(f{3ZTOP=0pFzy=~R9Q9)Em!k_VK@cgV7{uwX&6
z4X+QG!@58mX&IEkmGYgCnqbhunyXtK^~Q~4f+xPkTbQhf@dc*`sF%54pKrTq<z{E^
z@;}|LHO4d&YIZwzo+rw_N&4lkW}>0N1Kxc4BOW)}1Q-1E)>I`<P<^;8Hh&4p{-3f}
z-R29|i6&|0K5ayTH6Xxa^J(P33PQX^J{Y-<unh{D)tm^<1R>Ywr<Y5Pem;rF(*{H#
z0L1ZOReh;>2*oV&Gf+0gfa^!l3W*3M<u~DSWxl=xl8DYY1+5%!w9mDSe=0-k_waR|
zZpKojy;$Rg7y=yTBr_8a<ppBkNM*vI9>+$oIk{aM($}c2KR06#IEu=kpx*ZYkQf|3
zgdc|z_Z67{g%jp;oqydp31EW3k?hR^i!*05G&G1d+;3(2b;+Z-pD46}93Mv>OJ|AQ
z4rBSlMCwpH_!hMb^weZfaVV|2Nuf}g-}l(d96{|Zcd)e!>i0V(ME!)S8l{N?)U8DH
z2mY4r@mpL2h?$G7Ib_GIp2H_>77GA5|L`W-1_)d6^8WY8p%O>j+2H8tLZCYGLad0T
zKD@4N3qB~iAI!z*sWMrXK~)Kj;(Lr?L2sSC<c)I@kI&dGro<$ZI@5oNF}3en=*Jj_
zYy7s&XvwjxjA}Q=ArJ>guK`Xa5{ZtOlEHgK7>K)acAn29=PgFoZ^TL#RMr#P%egHK
z3TO=XfUsJi-~Fn$HzDE8C7lD{?d6TtA<>|^y3Iq;C_F(*6?9()KWqijQ+~nwMVT2y
z?41BEh$ncsUl;Zx*A^uSa*ggi%cIt5Jyo-weJmz9&*S=Lrm9PTqY(g>-u$~IQvWKl
z$l%p$x(s%ui4+?(-t+W)GMlnaO(}B$2F6@56jZHMQTPVLxD1E{%MVddnc7=1ZL}TF
z?(q2oa2sRisu!6*gNzS8uMB89Hx$b)RTDk{w|}C-<zit!5xC3HQs?<)R`cNt$$0K=
zj0)%TP{>?yuwh0;2SEKk-oH=p5WFbR6)=Wrpr(a!MhlM{EGGWEPGu84(i%~SiU>MN
zg+>IuyfV}wO;}fGUT6A3oTS(xrsb8Ej>9<yl{7A$!H^w(-vAJh;ZbCYouZ;54xy&m
zd32qxv0;&4Ohx>$^DZk)=R7?fAZEr>)MD|zo0=M3S63&+Y7ym?MxtHMbWoM{TIm>F
z6Li|q3yV7RUQJbp(5tj!Vse;9hTbPE4kD%!J@PP3C2TwHP(&Y4#OlyZzEBlck7L$G
z{1qs!7Bhbd1?ZRw?uD`NH8Anv=0W6b7!)ix<PHmM0>(21b+=-jK5XUqvIyd|$5pS%
z|Hy_p^g4g1C6a4~C+pU5|8oClg+zOP9H=HJQZAVLFnNtI3uR(^;<iEcxkF2yp`hqN
z@DcHyvBkFX<=ArsiUlIw)w6rc=FJX(?iUso$Y4jr7z?_c(mm`bK+GiX-Z21wLhS2X
z__#Zl0-<yvbI;M;puRmIFRzyS{M_H|-~Cn-Q6`ZDW<0via0p-n@!w@gRzThonG6HE
z1wnW0V2{B8-Gv(%RR)5Z$oS5b1h2eC{cKZ`LW%R{uJox}Jx{ORS3uiNY(uD0z7PM6
z486>#cy%ELR|j0LvKaD694TOL$;?W-`(9v$Y|d4O)fnn)%u7i6e^n%yIIwVt7fkf8
z$Up&zP3MVoj5t@JxVA5)LS~n%EA18z>3R%3K#2@!#<9}X7cqDbNzr@IzYYGsBg3OQ
zS}7JfE2$l2$J{F_1Q5rt*R@j+sQLqo$ZY&3R2te)dtCi<5_ilS;D%%t5lo2&_mxwy
z3*IB81NS>h4&&kp+Ms&$bEJ(!?8zXGdDq6TzP}xvO`l@y5kSI>uXV5SVf0u;q^?XI
z$4AwJkPXF!(@<0FV#oLs6nZ$)f(_NbH8bWIBsQRyiMz#&<WBc5?XOWU0@!$qqs{zp
zx?S*fW7t2w*7zMlq|RfcJm4yD#Oz_$cpE)TDugwHR7JQ?W~X8mR)wUf)E!zg)!Fwu
z?ge#3qP>VczUbw3L@l7u4h{*~h#JWrq%^sGf$?AkKu(1sC=sC#NZ)S&tUqHAP5hF0
zA|yT#iMb%!6LPujC{ZbsiV;ez+1=92U~xLKO-X(WQ2V{IvMy+d$m}q?X&dY%Or_th
zd0SjZv2U~^hXtq#><0n3<2vvlD@W>xLesvH7V<KZfe9Z@vv~mn7xQ(r2k2v=H9#eo
z-ECONO9Ov>G;m&1V4Dc}51;*9XCggDSDb70@OYrBwhwt0<_*XcB!&@CJNuy5!Ap<U
z;3r~<0I5fQ0H=}YLy1m?6rlhKJ>6$fqrtpN=9$y)P;P~EW47XZU4~9F23&lVM3xUd
zkNkCMu`TZ9rjFb11s>UaYa7FBjkG46-0*lAnL<k-e;iQl%GtFO4>_l-JEev}qGA|o
z-E(MOAfbqaQVxld831xW8%CmT!?!TJI3f|R$LRJmZLi4s8?Vx0_`)L8c-W$JM75AJ
zR$1u;B_|OM^&ZzH;1=WrXsPne3t4g0WFlvTj(vaRWz!8yr*xC$$0Ct`jIV;spF6ni
zNzei+s@sjvV_Jq4eHIu%w3|o1K~Ii}4P>en1Uj0Pz3kw-aM-k=$-!%;Cb#mV^%o$?
zLh1Yi@HMXSDV$}qNMZMzrcc2?foJ!i|8eYSo?t~di}o1{T2*Vdtb85&uY5+j4V_<-
z6W-oK8I#v-u~dhn&2)G6_In*QXT%W4)IdsiKniFJ(CddlisGygvl|JF!_6#UTl8?5
zLh%RTY*Pg@t;29^wxA@n{Z5FzUoweBMukfPSR+}3?mMDk!$%>GYJd``3rV3S@=th^
z?%4JjX9<)-wS{;bQh1YbU(oYm<=w?vM|UzbIY}ZFNxChbl>^)>M3aoe3FJLX7o#td
z*s%B?S67>WdxcO&75k$6&rX0uAp8ichSAg{FC1r%Kb{BDAmrpquZ)=<Q^xwT+?uXo
z#r%Ytw_Sy4p2y2aTK>t^iZfkI2pt2sS!?kdY_s2bY6gjp^v5yLv(w+vjF#if<vHkQ
zfDU^MQy56B|ID)%M=3Ju3r!^v*Wg48R*TMh%<ggf7VrBTof<FSPa0?CrWY1Qz-9e+
z;1{bPjKV~Y2=og!<hLmOa7Ot)M$RZX!?Lm)jp*r#q6#<ALlC1#MJ0_AoYrr<t0OQX
z4=Z2<HwH}l`!Kl^M=%NYhqwe!SS@}pkypcGVpNJ*+=%%>!_YFfOh-dQ<_?j*0#_rb
zx%W11a{fY!ek*tTo!bX`x<o<+m;`o-#;^<4nVnaYRy!?#(gK==R)a(AidW9n>ia?)
z5YTH>V=T}}(#;?ytq156h+KAr0FogcSjCQ3^_zkMP<deFF}dYID<YOGc005BnWG$k
z{-`G15SZhh8PcezxESLk*wVa(>p%=(Iwys-zB>OMSn?=t7k@vU#MQ%uGKY>`p85QF
z&vA>Qmrp9)XmGEhECQAA9z`8af)w|~XQ=MGRtV`uNGxz+BxfBLo-?lK0<T$IQaB`%
zA|vT~s?N3p(k-{uK{B)_uo7f_5ws3Sr+K0BoWE{*$`io;-}kyQhjq{m$=p+`q&`0N
zp10Vz-tFLHFIv;vC&7Rt{Z7Buq6`QG)XeLQUyV6Acah53;Wa(d%26f3OcjhGfy{Tu
z(gb9T1jUT(>}<MvF>ChmM*%bYr_Qq;(qpQ*pgrWp8D?|CAR(}}Rv9NKlw<V&g;$~_
z0^UPvcJOl=FgTe%e~0DvVzKko(fwz0!r2j=1C>09<REAu@D%dn;<k`w1CzykwVRk=
z1D4`&;X?ytK&Sx10<2U!eiryYPG$;ZAcAucghS*%pVciuyhsWM^#QTVhirW|i;`ou
z0-qDs+{o1%pn7e}YwViwTOL<wirJgZHJd0kLPVCW4{x{V?iM}zcyGT`6g3@(LFZE%
z#CR1pGaKSk!;2t?K5D$?I}$gcyGFjPaCJ&r8t;%tcGJVACT7iN7RPNlD-I^bIkGcM
z(UpF5XO@f&HFjQ)eUIRz0w@W!!S>)oAp(K}Y&H~$H!z>p)ny4=jnu!HgN<_DOBJpU
z!CCDhAs5ifz*j~rI8dR*>Ih)O1=0p{n}s<Kocp#>WES0k2V!kd?wRML;?tpXBb*Yx
z`tIGk0k0McTmURGJwLw()iK2Hm^FLrbVQN=DG)CMSQoiQDQbt`v!+|@6SUl*u_KCG
zclz9#6xCG+RQokhJE88bO~s5hS8=;%T0f$><2W1yUq_>lAfZFx`1Z<LcIS&*m1XHY
z?Z8Wd{Gy`rVhn{^3TyNE$Dg#L<I@7FRKK0){JK!M+W|5Gyh4nx+Km<t02mrdXgP`O
zj&zxR3YeLNz!UCo*K{Q@rVCi~x52?6*pfVkn-3QqWdTl$me$<&h_-eJfHEl*N?n7)
zIG~6Z7yW16?jLv=2#pHmrGW}99ZwtQD;aQ)q8S5P2PY>>Ot+Kr5XgYot)%KTebgDm
zbv-s&w^K?ixW;1N!-5S*cesl>>I^LIymDbnsoHa+ga1H;sn1j%ue<uUKq}{bhUn|)
z6@SrUNTE^ukU$-9)nxP{-Vk&Z*oq_!6NTmbt}gQ%nV-5tjvh+CzQJc@W%TmYiZXVI
zenzn9PHvzbBrX)@aG<4VuTi=}u$h6QBa%aA{94LbY^D|?6IUz9UUN=PM6DCGEV4Av
zsgre%{Xysq90TS%65cpUyZ6KqsBFm<7blKK2Mou+fvDc~733Q+)#5o}sxemKbu3*7
z9MLcmp$S2B@u#?7U4X55S$Hkk84Ko~!4AczpcS^%KH0VTkEa}^c@y8lE)8v7ze`)K
z3kx3DmLGM0ZOA|+e|anjehQaW880U!oWDg$1aJK?P%P{_;_(G6a%E;nXu!mTM$9|t
zP~QXYNe9#01KsR2R}Ik@;dp^M5{ah7`-f~-eAy5J{e8};h3uF(7x5(!?Ih6Rg5J&8
z>8tZ@ML67<(1c(>N@z-oZ9@AaKqk1p9?<ey2r^^LDs%o}Jyba;ON+<1m*MIa&V3J?
z3)G|jtU;lgfv7f%dMkEWS?}=b^=noY*h96U=4ODUL=2XFUeoc}oG4drIVUOPR-u_w
zzFQ+jlFm^0)?Aqms;{s2-)-(r92*)M*QHc*&gh@~r2I2rMbbk~v3k?Zv&I<Gj3JXM
z*nwy<NaPG~e<BG*8Ct$_3>FO|93-bc<uMj=bC*kV19pKPg3K8Z6{Uk87-~@R7>aH0
z5nXj64crNcPUS;k`Vs-pn16uyXbgEFEil$N2|z+AL98N9&2j1IXh4U5D0R?=<Y1<8
zlKNUlx?5My7Ks(gn5tix$TH$nng$2JRPDye7mUHw56?ZP#5&2Go5cb08Ja9G<jcI&
z>~VFABxrnKAn^YE`@%<RP^Td;X~5$<b;e9Ljr)?I(T*AZcbu_5Pw6qsX6Sx@MIvp8
z9Jr!_5MWrE7!o4fOSj0Q<jo(iSAAtbEn!+hT$~<NyN|Cg`WK8;fghU0$&uJ}K=D>;
zPH3pdx(eA4=9Y%C07`b;Hc*J2AY1{`!%0T=4rPb|b8sF&w@-#tLK>|KFsd^lbs-sa
z9)x^Jecp2czSepD)E)|y@!8it+73IvEcYhv9W;db|9TPk3%hY3Zc&$e2iP#`6Gb<9
z{QUfC=Juty>u}`VKJ2b^eQtf)g>Kt2(VDH=zdR@>;;!^mx$9rJP@$Jb#CKr3kno*(
zdRqi>xS|yMT<hzd;BXNGPw_rU$%JE`gj>RJ1DhMs`2e)~>{=y%;D9kuNo11K3x1D-
zeohDFouri1AU+WZ;sN)F!Vww6geoO7?@97WcKkwJMtuvJIwm>(dIut_0xXoui*44T
zY^d9M)6Z+4?4;1#rQp*(aUwo*XT)q%z*{IJP@NSPI4wwGN*c<fJuUrgV#f?#E}y*4
zliB&xC+&iv!j>D>E(l>@1=5xSF%<P5|5)n@OQ0|)W@lK8XqwwuckI|I$o&F~j6l2Q
zV@&WsK$1^p8$8B9bW6!}KLfOpDNir$vTCRCn%|)!d$WN3qfvnFrjws2yx!&rr1ZXx
zw5lt;Ja6YJAs}_r8)+oalad)%FlPEp&6AjXp!+93Z*wiEHrp91m{K=5QgcpDHG=i6
zrx?$_vr=w#39adKZa@)chnpJK{J#Qy0oP0BL!-lj5NJyP7yvStLN7rSj_1qie>;`6
zA=PVom#!C5{915tyL#tx<IXF?>up2U^Izv|6SZAZ0Lo*wd|>Z~&u@zB!W!*4q)*0Z
z*2^I^6US(fx%>4?|5P40-#FiuM6-KWsPa4;<K)+W+v1A9J|;zPYU;5^l87tWZN=45
zL(VQ-F$I#ChUCq4;9LLzOia5f>UpLQ1wNo$*G6aGFih9A7<*Uwv*e3UQ`Ftd=Z0x6
zEb~OZt*>ClUdw_^+|_>#ZwiqqT;-pDawYA0B#IowSo%zz4-z-tA)8j#WA)Ic&CJiV
zZlCwtdU>+{M}4iYYa@gD?@Bv_QxJlzR>pZvDHlP{`*3<8ud$>jwiq}CDkM?6TAPW|
z1<!Pq&n2MF>DE@gUuHK8?J4=f1rcpW<tRnY+Jhy%c=h)MY{jx?M?}md>SV;v!kPD$
zQ`Wd*Jik``PM8jzm^Z($d9;&=MM28ng?!gKXP!xT?xaq22$(<dBly#g_B}gyUPD>p
z7f;VEc=>I{_d$TEx2n|d@C9pe$7xTjTe=}AzjfF6KW_|%OrP5~yDW~q_vw+Z!r`-d
zwd(U{PmiljjI308SM{)exL-C`2=y-j7T^HyF)LhUF@;RZB3=9c|2J;3O4!zf*0}fA
za6gH>kayJDYe*<T@P&NOABqo5qShERKT*FjCkw<C0g4O;dMdrO;|doN@7_^;|7gce
z9_7Ocd(CcV{63p_abKgoBs)7hxr0FH<RyOru1w};VY1PklJ0a&Q$6v!#>@Dr*H?61
zf;YP-dIJXzYX6eqQ2l%3bl)S}iO8{_&JABNIwN+nKXX*kz&AvEo2?Ra%8gqw$;~-$
z?{(Eqn6>9)^#jMEMm3}&G*NMGKn+WeNF7Wa+gC~iW6Uli<T8kIeQee56dCae<g$PJ
zb~MIC(2_avNSE5-=Qrv)<8}eqLqrI|4%54NG4K58rAe*B&#51{{_ygB6xt}*^Jkah
zFELC(aP4DaWxb)HU)bb!{^*e-811$&{d&hHdios5eTmcy>jdJW1=3%0@0-ge1HC~+
z#LAA}l`#}l5a(LgpSw2MNx>|ueezv&`HwdAc17Kuv(}zd=**j59(`BA5Lg~19}vh$
z92-ApT6;>Km&{1qyKQ|BxH<$1<!JT*zUc#;AYDI-4B~hJ`Rr3^-vICsraS(!f(<O?
z2@jfsLO5-d>Ea95*7^mGHd+7OePFM#dtw$u^xzzO{!L&jQEi|~JK4u6utD)c{>hCN
zm7ku0k+|*bJn`|<-MeZZ{oayrJb+d3G?TFr+jbkI;oJpsLl70{Yf(^dMOh(u>xXYN
z_5`JB-QAh_`)ntkpL0|?VzD@N<<Tk2Attd(%}Jn%c*@uF<SdbR>$%j*ew}(E?aEh<
z_|K*f4urqruD&{~_b8+8b8Ji+SIEJ}WXwl$18`@6G7yTJAyo9lpacIoIIU&PS0`DU
z@_WnNIR|O?AGeU7jQC)h{^O?clZFs~wlIeAif@N>Xpp<tQl5yynAt;)eT`~nBp3)_
ziQO}`ybp?#+n;>dD-xU+B(ujT#p34-)DCGeC#P#@-0EttOjCmJ&dA6(g1lOMTPGA&
zxC%Ld7=ZLQR}iw>iC#h_<7^&X)7wp|#=q~re68~O`R9^Lg|d{T*Rf}REE)_SpQnyJ
z@}Qt3iIYSsJw^_^?fQ4`TV|KI-gjsnd&Vd(dj?{(m><K5G8?Z21%*GD`-!HM#Hj-)
zB~~k7LjyxY*RNe$j{;>7m^l7twod9_Io#JQYIb#6c}1_z3d>Qr%3gD}EsNfl-Lg~M
zI_!f>Tftu&r#=JQN;jKSWl!o-&Bm4cYCZ-NBN_;Xv*?OLKws9WQ<@gbEUR@}UAo2o
zA%%g&P6JkRfsBVhp-8LriQV=<9_`V&Kc7q-yEsO;{Y6@gZ^U2VNs!?)(Ps0iq_(N?
zu@VbehNzvF3G>?vyS3hcYK(jOylXb$;~SRVrO>~0Fu~cR-k}XrQ88vf)LrGP6Bl7k
z8bXb5#L9{U=A)E@SKa}#Z}e*+sL@b@X^nNbF38^JTf8)m;{3|s@92zh4oPR->2DS6
zQXMLL?)~v=5!U(h|EPNpzn=ei?;n|2Sy@q{w2VrT(XtYfhLNpBvWkev3?V|1S&<f^
zzD7nFB@HqPWrRw}&Wcjk{rUZ#bAErr@4DU2bzSF+`h4E+*LXf3>)Fzm9D}3dAzhnc
z;GUv4>3z&A^!xn5zW6Xpb%)r^48K0wp%M3;;==(~Yh(X9O+or4nLMm%zq-G_WXK_?
ztc=eRJU=?R%zfgBDtoWr6^<nxJiWSqnOWV_<gB7kpMc|CUp+YgVe+2KtF*GFeXGjc
zJM@?@QIU3g_L?i<?e;r*C6gEmD`I%VJT^yp^l|Cj8P#c-?|iowQF=YEnMdAI-Fxt0
z7E+D-4<F8D5T8IdsGiPo90Gtz20wh5?ssof_cOCngD!0AywA?L?AfiBXS#3P6IxK4
z6lp!4S?pPMe=3}rA0Q)F1OIU#4R^PD=QMg2hSBDA-SREc!KByilS3yKuL#zD(<j)f
za=FW)t}Jb8-5tP;j}m5?@kKK^M$Vl*`-&PIQef?QE*8V5h7TV_#C37bSYWoKaF0>3
z+1|MGyO{}7R<?hE;Z3vRE*m!NE9u21++TM51&-;7_jEpg*?;x^!%-6-gpS^&TIS11
zFk#!ywYw}&j&srS)HbZD`;(4lNAk(!)l%`aMY6$-p3D&)vEXrSzs!sFWv^dH)R>vH
zn5)xX(Q3!$9`@cd#{`bhvfh{8dsl~9<Hof>ofb(biHLIm(@RatfB*R%p*7L?^GdVj
zRb@$TlYH)M;}^&8d&o$?z!N{;1Cs0a@2{q(w}To+j9eo6=Hd~Q60u^<`ZaG|TwK09
ze>SA7R#|mtRo0wBqs3V$^ye3zX!hp1dsd^7KKuS*Tv5Nty~h*FiZl-bUfd^Wdb7Mc
zf}OMu4mCcYd}H=(mknvxZ5`kB>MbA$+n&fI6}W<%nVGRx9;sa9F!noOlv!>v-bZrc
z>8t(DkFKeE8(i&dkdqkfUUlHt>ny$W3v0YnPM*-H^l$&cyBORKL7^b|Bh+8>za-DB
zLxPP(bYGUU%A_X2O?|f|R=s`QRHOso(|pm<V1vxA(oQT)2(y_c9v#NfG0uaDLVLm3
zJH-9%x1O>n+|{<lj&WY8{Y@-<2OH0}oaB3A+_<so4<Fup6uX*~5x(MF^v~=~LH~w!
z(=;=yyIQtpx%T|b`0!WLGjuWd;ROv14TbzZM9<V=>c`38wY*iCa&Q2`9*{W$?Sd-G
zpzXWH=KiW2?YQZA|6MsDRr4;bRJz=vt}eB67u_LmQ<au|=P1b1zc)syA#`8>7_H8{
zudFZ;tf3+*scHZqqO`0<($Ibr63?|cSJ|1#Y?(fGh64v;R^5w;#(>atQCovDOW-ih
zeiOHQRBL5UW{+TIsP4aJ_e&Lc6lVM9$i|D514uh!Z<=He*pzA+9DMKG@zH46<pq_!
zd@&@e!@_jWibdA{SdAV3nzloy^QK)zx6tBzCGwf0k!G-%u~h_=Aup^`^M3sN`Skq7
zw{G2P^S-m%1jpm1p4RG}O1@S<FziM9lV6)*{68}+kv@oH5JRVE0O-bIzpI#C(C^0=
ze2NlOyecS+5EBVQ{P^0ecAwRY)<=wa*)e6=<i6dVe&qNb{_XC^%&P3K!?1sQ;hGRE
zlcs^h1vluSywlUL1MKz8XzKX<h}GdA1r^^Dc0G8|Q`30xlaxf?Z*D-WsBs(P$_5BO
z2SAO^=h){XJE;Xw{K+^kg10bOFb!*l%V^J8qM_az*tzW5)~3w^swap4D*sUZ%<S`w
zQ;YF$uMGNZprO$SwUA6z#nWC+_VB{Oe_lhenB2}pSZZg#CnQ=Uvsppz-iqA?1J8^9
zSCpB~#UC<!P;-$gkcN^1|6E&uS!Y@{(o`)@XK57dTqB`V=zs*^M??0iq9QIXrSkml
z#s7k@x>3W|9ys!2T%B|G>A(B;jGwc5<+8uG7Hl|bZy6cB`r@Jj<F8P29EU^#U-o!~
zL=uB<M{%By_Lcm8?a4-tmD-mM9ogCW-7DWi$h6#^)yMgL1K%GVuP7O|jo1L-wQ3d9
z=tGa+{6oK3^?HkHqESx+gFOfrXS=x(XONHI5h`+g$hmK)l{$8e&N=&G(4gw$ch|Wu
z`Jsh7Phj?`9?kY;>T4F<@f)$(Vry%X4{g`%uUp$1JubxLYzFAW?K%`18i46T2v&T~
zI@*wRP0*GoXjQ*6RGszX&DrNO!Y!^$@7HFS|GF7biZrlV+joX7-ACee6z+mJy&Kdw
zK)mCrQGn*`l)HNOq|4!~WRUqiP_uWK1ic6tJ-<73nMYpS-R2gmPO&{&e*N0%m;QY1
zS8I+TF?my38d7=;52J7>l$oIau{t^e{V)NG)X)pgBQWg~2(<p-c=OLaw{<uAGg;Zv
zFLvIEv4>QwTcLjVR`t~x^v&_IjFXRBS$_ETxx;tz*82VZV<ZYJjG-L5OqM=UQ}DNg
z6v-F54IXuS-5B3lho|{hmtEU_^^<M(J>zG|6B$8I#6HIU`S-)?Q`*Z+G)j9=SFws-
z=-P3En$~hV-9nue?-LL8&hL@5`1aL};bnqpJ@Xg{2PdQnI)}OL?$L$k*KnwD4lm;r
zpRn-eu8b6Jq)GxW5T|QTyYON1v!cpt_R%^c+jb1OXg@h=%;VHG?On9j{@8QSD9&}_
zu?b8cXMKVU>2u}kIq7qxxI#Drm*{)s#prDa1&AN|rTM6dyTkA8`t19w@zB>-KBw4^
z4-Mn`kN3!}WkOusKl5xo;&+0jaB47@^^%_AH|ogTM8%E`*Ylqk2Wp9K@M)s!_KK}P
zrg@i}$Ifw`esxf@r4tKg**;Jn)2#Wyi=JaP{`v7B|549dcUp|xYg5pA?WckLjRr<@
z2FIBhAtQkJ6rmzNSloNSkhQb#6Tjq+1XH>@3ZwX}jjlhR(HLv@{`f&>wBI<5E6-Qh
zwfEZ8`wVEOL)6P-1(P|*GXPFdf{Kq-HScdocBu$GSWkE_A|5WxiBG&mnJR`uWROIp
zsZ!TF&PZF_rmL>5-}7s>x~qC$(f?GmNoTk*Dvv|1AAl>HasOs8`jI2mU+sHWrXCXW
zU`1RZn8ES2e_QX}#P5w>R$=XA`Fq#0FO?Ou3e;A0HTNBxt+xgTcL*BZN*0(18*s{+
zRsG_?6q3#H?uWxZGivX$%w?K2R0<-10H2SQ@7Aq#WivFI`h0cN(FHT7<|O~PXzdez
zdgH54mI565CGc&qq;JEaa$#{%twnwSMTA&X7jeZP<#@*jQtoy$m1*0z&sNpt?rIb^
z&9M4pS-0;kTVSp#Y7)H=2{5O@60*?b5acj(TooY{3<JLeeou7x_E3x(y{Z01{46nu
zSStY%^7_?oH5yp?G0!n!X15u`hMj1WV770^ouCgvIkkT;F4M*dcz!`^Ta$t4bRgoJ
zL3t6zCfYa3@|=e`;JGoV7PxQUa5cg3f7y6Bj0Uiz_STlHX2w@~?W}p)?N|3c3%fxU
z9}oQdg;CNanR`W^0sRKi5aGGvE7k}JjF#Ee+)6T65b}gM<fco?Ve8S#T+hs86|_c!
zk7xb;WL3lc9kI{wyWhO|b<p$TK4=M2?s~20xF{vC-j#r?LD4ENlL!6m25&xj%`aF{
zln~glR}qaU!=1R@r%qarqALm^F|$7R&GP>n!b28|YlwHW^`tR7Hda1P_K&&RzOLuY
zjh2%BV|w-**a22DXTtJ1rWn|{Jak&_ks%p0o>K`06yg?AQLx7=U4DN1RxDo=kpnNo
zo2Eaccp_lt^My5m#KG1t>pRn7@t(WyXWYJ)K^_SzOf}T84eK+V2DDZ<!ES?>AxKjw
zh<oY&IClnDB3GJB2_%c59UTTvw182!du3c}a%ETI&HPxcuZv3zM(77WEnMdC<04dz
z<Hsk+y+HF0rbj5an#E#UbH2UfHAccYgf>vZ8cj?8i$tTgwpxCrHZT{*QSIAqgV(|0
zsoinOvfpIjtJ3K0&qXbFzTWB8X3pZp39I(AR1rSO0(G80Ka&lf<k??l>#_P|1hTQ`
zQ<>A#8H-MzX%`&s`Wh|Bdv&2mw|$s#$;D%T-*=z*VaSIMaTDLDKKP#VCmmTw27y!1
z7q~7oL%#H{@t+ls`~Yj_96YCSg$V_BufaV-#*cPPUCAjx+x<J<r#yU}>rFAiY}0)b
z-16}BOCuV7Zt}_}2rZ79@^%t4I-nb=CkqMl&D(d|Qh~6=VZl~ai1A3JzCSbb%E|V_
z`fgS7)ZEaZRYJy1+x>iPrFQK$GWr%RiA=vD+0lR#a{7t~1`4Ls{xV~W^IMoVkJNxI
zTll{V2_aba&d%|C)0Wm__8#-^zNNqC;7%PZKNxGa4O)0Y{DxDe{7V4+{mYEulX$lX
zW!XVBU0NuEeWZ=x_)+WI*T%8>JU7#H@1;G?FLNy)ipQa{<o1|lGp~i)Z}};B5a<mD
zv^GQ0%>I6FM_HZaJ-S2~vV%t3A>Q$r@4^%oxAtpl^%78NnFmV9{oD&38l;Q_n8!r0
z@uxzi@`k%DlT}&`wu{)*ne8uAZSm}Y{EP>$r^YchtF3ZAvzIv(oEKZ@({PZ-#Qk-O
z9MKG}+qYW>g`RG2XWHoWs~P(0&r+)WE$k)_71$Z{RPAICO#EC}AL03Fb^@pOjRqlz
z>+&4_k7AJ)dILHY6ksG7mn8K)|9zJF-b}4o=hWMzXX}iNZ+@$^XL)M#lf$q0#9e+s
zi5-EN3t2%B=Yp$A{+~{a31DG})l|aDva$mC>1~+(n6tb4fJQlqp}Xu4rA-<1PiP@t
z8pe(04<gBA1n`tN$sNyM@Rrd%FcRmeLh<6^=jCTuJ60PdwMG+>QvGQN>aV0e7C(*b
z)S^EDNg?C0oO&<K*k2>T!Nsagw`ZHef|NVx>>E9K@_taZ2M7)rX?o~mmeD}8_k$P-
z!Z|=(Qd_u!_fHmY9kahji-U)M1y8Z5GHtZK9l4@&=gr%ioNR(;86G7NT%~k@Is`d=
zC8MD?P<~N1U}bfDk;AX|KdW)ZVhp^pvTL6)iT~Ui_NafqGb$EC@{V=MkCRcC43iLV
zC;vL{%n`Ho6%aMZlWqy`!Enfb6Sg}=?RKyGY8&Z!!*j>#U3caimS#EG@;Y%7(FeBz
z27s?HZLb?T`p&J<Ncon~#ff5s1X-`->5c=FK%F2(O5;PfYiWHfT=6P2dSGQrapmJy
z+08yzv+Gc!iGF}+N|_CVJYFW5&U($10ErovON@QTXp3G<+m1DQoH+Vr#&we(+2+gU
z>ZS)zOt#ZN<t9T;;qj<%-wt{9n~%>)Ta1>IMiz$d7Q~68`z1c6N4E!S7swWBv|agl
zr~dlYQ)Vw;soJXd1-o;Wjo=N0TOo1|)%zwou-F;h_4ji2FMWNpk$j~kXASIs{LbF*
zGR4WFETU0Tn^ysbd)B$<otikqvEMU(KaK^LW`=i|9he38n~av5->JcjP4ZkERhi9}
zJ9&T8;Es*FD(VHa>K6FuUDBQEow-9gR694UzvzfXzo%V4yXPk6?bp@Wuwg?C?&|p=
z3(VtR{_fbrCUCgd+^!0%f0b~fA4?n6vf><4N*X7H8Kbp|4Jx;%cAP%sHbS9Jh*utT
zZ3@L|pZl_V(F*-Lt9Lg3cxv>~WcB?$OfGKmTBSa7<?6E4N{?-qQP<fgtX<=h-*tFW
zgAWHYu8sb1b?32Bwb${LO#R-t_LhjW?+sf$@q5=<{oP-E8u`yrGh_$7J)T^AZ2O%<
z#rF85J}*yXg`5xgHm%2q(DfxbHlEf8UwthZbK$k}$Q#rS`-<JG*Uz@^UDxtz<@)VS
z0EU~ORO-7*!KnSI$c9>vo@MXrKm7eoQ>#Gxx=|LkZg;P)Ogp)=t6A9aCRxXyj_*3~
zX7d%LhTn=)HPeqTU#seBec+sl>hg*KeqGl7dDlCo`b?8O?`^&qYxxh{Ql*~ayXOWu
z?DOu2PjFTX2a$^)>eVK2q+jV-g9T1AxZ$20R=Vb&&3_)y>P6jwgGLJyJxZ;=Tx~hw
zMdd)BUTNXW=a_})PLjypWB05?4(@PfiiJt5jQHL&6tv8CZRxu5r5lK4mo1<Ccc7-(
z(z^SI@1`vt81;4?8hzR2M9&njP9M`cwNf2gm8k;ot<c24rQ9~{Oz$3Pz5NHKwzTwm
zvF+1~)Z%DzU<Ney(5kZOru8Gl3G#5nGQCQ-7a@DvC4UUiNbl)0Wc!<t*4&CYdmj9W
zU9xPM3t2x~bqgcs<+lqAEAcz0W`5nU*NR;G!kmUrx(=+|(fh%dqTK|yfO;f<^6C~b
zQ`gmU#3Eg%sf~wT4Y>2ZZ_$scpkf=FxN&h4NL+1R^rPG&V5Yvy>D9x-o)=qgTeUsy
zNBcKb^K1qW@jq|mm^uK43>;J3t6Ssp%;y#K{B_FCqFzyNt4}jd%rzOi=<+4o6u%y0
zSH_BqY2G7(>LL~g4}90a=V$V+TiV;UKEKza;V^e*>*>w7{5`&P_c}X?ja>8R=g5iA
zReax@`fmR_>guTMAMFe0kE!{)tN-`tQD|9bzcP0XODMb>QmL7I#QKiwm#W5*(HG}E
zxzLSW_(0FetjA`r3iHmxB^3DZ;luZJCN>TmzvgUAjKkxOW7Ra8MZUDW-#qQc%Y9g=
zUw}-U=u)doV191Qv9)%Ay(h<RvyBR<Y~nn-p`uCJD9e>ioz_m+eQnolDjL%Fer)gC
zvC;^2&<zw#Q?I%-Q=hTM)n9jV2kR+X#hQ;EsSTb!b#P9R!a2Pou1FH0P3s<wsE6<|
zrS5f;?!)}Ho|x`f@_6|^*XSL0_qAJOsW&1(z15cyUki^Ngn?XAw-$lM_27Vj34v(H
zj%NgEnD(eYGT+HIcJMyE=6}-nwVUMG3nVA|SF^+eRw<BhR72r;lWTSfs9cdZ|HHG3
z9s4BN)tR+A6f&u=pWWVl1tAGD)mr(DB7MOJpn+qrF4r?JygTXsExPJASlq8)T8C2;
zr?>`nJDIh4xMd4I(AQrhx_7bK7|^mHb+IZEnCe{5ec7dAH#G4sQ=j)vE$K}24ySHB
zx13r%c(~$&HeWRB^-1mB^r3@t&aqss^ly3lAK6-MQoos=KC=8p^e(jr58JNOtBZGt
z3Owuc(WwW9vzYE-ixFIHqRLeaiJx@$@u+Q~q4%#$P<@R?xz4bwQOp)*g!hLRj5rXy
z^up)FOWR`mV}R+=zyBA1x8vh9+Yza#K48Jiq0_q7kFdBEaFb)bVXVU+vn2cBFA0>I
zNujgZ_Kf9b&!Xd@p%>WiYB%oQ{pjye#=S0VU^6GD!h*u7XDl1dff&9?OH~)`<8kK*
zu828xwSO)7`rax-4jM1e#KSaYccx37;ShB2n`f>4JyL7Y+=Hig2Bh!U1e&gh(UDJ_
zYNUA0{+B*Lj_4|gbR@DDk2zn*9*0h@+xA&X4S~N_{`s!WK%dcL$2Mn{oyU_ifA7A(
zxn@4n8tNxtH@M11beP=xn{m0jYdmJoLI$NUK}sW)8q#5o6}sQhuzJ>^lRZ=sIpBAY
z`$JQ6RLK0v(7tsg^JdM!;|>`lvNygCGdg1#fkp3G?Rk4n%ZfJSXb?_-E^atEpjbM&
zTz^d+a}(B!G-+m2shgN|=BrBfFD&#Zop)v@?;IJ77M(+rC)cuW*s<J668reye+X!B
zd}+o1{#lol1_Nx4{O_OLn!N6I?4y7G5r4T#@&2IY|Myd7)$bB*!%zG7KfKm8FU|u2
zksse>fM26|hyU;Q1tiqlX&?RHAI!V|r9=4t4}O_b-2#P_#$Y&-B#1*zB5!G!2;mZi
zGQFz{q7;WS(|`MW99L_KVq_zdxL4F7RNtU-`*a)?(Mce!8IF(&9oXMvg|R&r6KyB*
zT|})zeJeMCWTKaenVxLG6AQ<SEH=DgtM6v#zfn@Fn5|Vo2TnJN#GzByu1MBoE>;$_
zn*P9nb;k;0dMrl02FCRomm@hV?YeXcRBMWoxUu}^i;E{f!ZA6v_E=$O#>G=K2nPeu
z2L>M*A3qk@pVd&G*TppWw|tGpEsu2xR%?2*u5fF=5CZ(x{{1nT;}>H-1*w>qsRhT3
zAFnZJP$!N<hNB2jhlTihR#t`C#cy=7;xEH3LjLehLJk2VWuO9)wB(<nxIwkG2b8=&
zqXUTit*tE!K*$XnET{$`H=G3{s&Aulf~e=Z0R$lX_n=4?Q6CQW`A~K2**gM3X|N?3
zgM<OeizVcP!Vq4$7a{P3MdE41X*P^I6$a^p*+u)|pKvWhu}Cf+AA(LxhUD^V5uS+`
z3HynqrKOhr$rgAy=8*ETHNEa*{rj9Il3f9%ZK>1{oDic=BnJ{{NdI*UAlL<G=O|#e
zsGG1bFZ^|?WpQ4I-I5rBCWR<RVx6?mClKzUmAxE5MaFC*n1l(Nf~pyb^xp}d<7{l+
zQX{-U!7HUGiBG)aBc3ak@PWuHc#9zVB+Vh>?!UP!IvUlO<sLJ0=N7A~u6~4D0or5Z
z=FKBR-?IvYZv`9y=<e^9(@BK>K|%L=U!17akS;QvJPZkrq34bk36kj$@~)_v1##e=
zN**adLRE>ehwU!l0J)UtDrBCP2(<Z%xjrA7wrG*Y$Yd7zeG*D&p-1ru>)H)LzH|ro
z?gX63GVlNeFPg-m*~_teBlTj?gB4jqqT*vK)O~y5*|JMum!0;L>%ru0fhWd8B=k)|
zEA@ZbM*gdqh|!CSckWo;ZM3!|U+qA!#|at@8t&0@wmbzW_NE(Tma1c%!|xNE`dx`J
z=2vV4^1zm0|NaPXo#LDi*&G>Z35(`f-nn)S*TeZGk>W^Qp2hRZUo{i!7hm+|qet!V
zd;_b0&6K+pUx<ulWZpRJ;}`(A{L8tRi`kY)8s+!OS$x80@Q@+m>kv3ij7fvD_FG5Q
z&{Fft^yzJhime^<@9G#;oL9P+HT4Ju3*gjk%8GAm^3F0}LTpJuoqVp`-id7mt`Pqs
z8TBc<y3l+|;2By?LAKYd`8&ZSD&Q*CtSA_=PMte59Q>f?ijCeP?G(lm3*kBbXM&4{
zNMveizU4|r5-m>Y`<ZMiFy@tjj$AhB_wIdaH#N3LKSHHJe?{9U#R1gz+xN9ww>A~~
zIf2H2YE>>veJC`z9M-Xt_);JIwruC?om=?KSU!4dvzjkscw(>p*WZrKZo*0zVh58c
zqPXVmS7<hEz(Nyx4cut$9`mp4kcV)({OROZJx_Dy>Emn?7bm|v@Tq0X3KILoLoL1u
z+EyLguE0O;PzB889{X{|{u-sWZ7nI>VWL}#Ph@=|q1nz*e~hXRMf;4CG4QE%%Zjsf
zmt<9Cax~7Ts9s;laU#20kI)h#7nIL!-i<(<o`37EU1c;tdS6<7XMB)6AC`1gZqRn4
zc~yDy4qsNmYX%rB-Y&Al1vNtKfR;EBVBIqP5XulkI6dwK;(7jOUe^6&Z+BMh;e;2d
z=+xLNw>b%<Y+zN1>79d|XXzMoAeaR$z6PW!GR7X!*a@PNgho>Apws@+jFtuM$adi6
zN@NtI5GOZtXC{WfNbo0_QMg-(8LHq0*wZmfPLLhT006QBJuYhO&6GS}anNAp25bRt
z-^e6I8cULfl%LwLVeoia5>$#FTf{)}j;X<jbllkBVtkL)oK-S?0=zyQ@{(@?_&J)*
zg&K8EMB&Q|3%lZnkn09Il`?2N53|$YW%Dka3pXK%owf6dH7WNJc^e?-7;Zd^QjYM8
zIy}A2c`vOoLCc)?48g$d@$Tulp1|!-^z;V!1<zYnk;piu=FDN(&a;w-<YEwJtscqp
z-fW|Wt4qeq!qD7jm<bnv+^S%$x4?RU-uLWJII?eF8bOg~$zmh-c&J|$BP(_05H7@>
zgPMDDs|N741KV!fgylv?jMIrvL1haPcoO^+T~zzHH7%{Ve9Iq3HAjyt6fdrMJHpzj
z#!zcUg34|7m_?upRyyu=hIkuuxTfE|+Y&;IGA|p3KG-@c`9g%P)>9r92DuY(V8jm;
zwbz}r1H^YP&Qq#`=A}$Gj<uJWiF^}DK*NhF8(1Jyfv?}bofPxaNQ;innL-1LI7o1N
zJgIymM+xLZX3UzobU#;K{=bvY$I#P${qe(<&P*^$a@c^sj=Fb64<_<po*6#jF{t$z
z9Az<f>~;{kj#&{3vJh~;a>;cWxJWu*{QM``qmq}$5`JsaYQg<4$q^4uS9N5gixvgC
zb2gI$Xt8BRD?}VM4R!rZBmmn>rpmven;`tR%a9>MIBQtLB*pE(Y)vR#8jW+}_?wsf
z>r8oPZ+Z6ujl;7F?o_X~s<<^`&M~~z<_n!kmXf>{HW0Hoo7sAtm;q-7{WuXJEsW@G
zR(12grxu5RCx5{uCb<$aL$mP0!uW@ZD*AI9V&K$m`|&!oeIzIp$fv_z9~eUJ+qoR&
z;7HyzRZAhrf=gd={-NU95g)J1=Xc{bgXJn@rIeSHIJi92mjA|aMDj&AD$wbD%ec0M
zEdkOuq_P1SG`gbIC=GLb#PBV9cJIC}Wb?~wSFCMFJUZ`iYD$}F)1FzHMPtL@RWK7q
zZ144iIDrNbfj=meq<jcqSo#v7j2w>q@L1LtRm}<BB}xk^B-xt~v|9h{tS2`dx7mP2
z&kxY8C}fR%%n91b(5(egpeiO_BaBi!cyGrGVym}Md9C{SAyWz>$aT>mP?yIYx20@b
zr{4U{g~UYS+u{p5Y#TvF)J90&vmn>FfY6rq;pwYBU-ABNABxLe3`p?*`=cWut!j%w
zaEcUT9j3;m968brQj2D&9`nV@5pxrLdXno*R0LQ9lrxi3jNo+AFy~fbi4rXVa;S+W
zO91e36)8{kfAskAZQ$1YqIw*Qoy^t_MY*PiU4(yy9{uZ$HLqX4#*VlL3w{#4D8{?f
zUghQmMTi2}?Rss8$b8!DQYLvQWX-tE4S5dMz%em{_u%k%;>JG^RNDYl#fe0)*IiPw
zP473!Q5h1b$OgoM;c$fzol!yyu()kGtI2%H<y<tqB)V4CY$d}D#LP?MZVsj8VB=?Q
z&bDj6YJcCofgN;NU%zgAzDW!}a5MopcewHx3ax=WVPxgdmR(GZifU|TFi(eft~1&L
zAXW}Jgbc0EG*?u#R1ZctJRX&K;m1RV4wbFE1`I4Zp32V@V(#!`sE9*JhYW&NiBB`7
zrkFs3FLTI9q*Q(06^tH(0C;U*gRan?kl{KBvr=zAeOk5A|NXOz{op{y9Uj!CPandr
z^w92E27hR~_O#2-i=1cYR(_q!finu5nWLkXLDBG&9{%|4D*Yru$3x?}04^MYafR7_
zpV`VXxCexO6F1zO4<B}5Tp*g2!%vD_v`hFACJyVz%r_+(f+MBB>}<Ol7FVM+C45Hp
z`6JZw6rWQ`PR2&%_v^)qgSDYeU}Uf((#d3T3t<d!=I*xYwMXx-4naMT{I1W6yt?-E
zii8?O>8I4WbC^b~C*m}s!-`+Ms;9N<WqldIKnW$)J8fDoW8<G2<(JkotvcQQ_9)bt
z9GfGptgJ#;b6rZ9x^xDt!8y3_NcnkmX=$<Fu;Cj6>h>%yjJ<-qfD`DrWO#4dbf4L}
z%%yR>(y;C})8L5+q?D-q(Sq-c#PiU{)TsaTXCG5PKfAaK+7Ph*ri|Xkoq@Co4JsXZ
zCPie@H4zv<b-b<0sVS^NH)@`o_2ki`?8>VY{YNElg$0HJMm**`6A!cMX^;{vS)mef
zMghnN!jKW0Qth9*C8t{<yDUyK@$l1&i;p=awxBA&-Q`+6be*^&(Hu5zrGitY8w){m
z(4Yg7F~ouC`57C=@9?`f3rQkqr4==WXTA61FaRA<4vB4<hvObrMdJbDQpWjA7@&Hv
z)tAc3H~dM#Oi_X)BrLx0+2EqSdT)ajiy=Dqe_WbO<w)KggiI?MQ4CwC9<{@t_qg}T
zH_SPkb(8eZRHd%nR8*vE)6&w)SPe0i!&7<3@<b2JM*iOya4#19JmR!%^n+g5Kdkp@
zS<p|Q36i>lI|WrllFF?A$x@Vf0Wv8nf6#}ncKdy3oMy3{iWKP6ZshaUIm(-Jd82*S
zWb^=?4t*U2(FyprsROc!cDx6UqHkn$_h;De^KJHx=?NDbNwqw6Ks0}N#wpo`InbO0
z7=!ZshW%PVa<VtpJ7S=2Qa8wuPfEjeUcJL1LO9#weGJ$_ettu-ut;nkHn*Wq++9+(
zT*b(A=ixwuI)8i<?5C5wOpdF)6r|KiRK1b#S$u4Bjp{F-tC^cb*zMh<)Yt{ic#6bK
zj2sI!rrxvF(n`>GYh$?~ra3d|?qV4+w1gB_IEqb{5#}VYW1D2vjp6cf9CB1uq$)g$
zkm4&jpAU#}kbGjvV-5Z4pcCRngdJ`8N+c+NPmEaahD8yF&3X)D95UHnMRZ}w1S4>~
z+?y28E7cgCES(?EBlE{gdNou`ibpz}vbYuf_R!J_AcCohF3pe_^widF_Maq1X1;S!
zv6+@|kw}2-&YdmI>S~g7mMC9;`LesM&a1M?yA7{w(<bm6=u42T8>!U<2I8lNThuo;
zzRl6fS3rwPz)k~h8v?ubgNlmD6T!u4uTLb)#)8r?&h6gC+8H)awgdzSev$uRn$IsN
z6EdbQd6%`KvB-VmojM5+oGMJu>7T6>%g$uiAkIVn7Rg%?fB;ZIGAl^&kp3BjI_~p;
zZ&S25J#$yY-n*jQa6Nh^uH9cZejqo17*&AJA}Jho+V_h5?fjHr>O6QdHdV2-`Z#(>
z`?h7mQT|^cSE>Dc3nLc!=R9xY34Rt-@DImm^7J5BzCMKf#=ls+p6zV_c8Ypd=3Ir>
zyj=aGVk9ezdlzi;0MjGBkVdUf{nEO`liVcipH@MibyA%J6B7DiWL8b9aYM}n00E0H
z!y~A|$q5i`I@$>s)YtT%B0~ZbH)KvM=CR1jX7+`e2*_Bu9SU!Q2a#Y*qWhvVzbf9p
zC)s$)?9)~)LEclEMc<<}=3<1mwS+_$OEI@Oh3D&yGX|0`BBpf)HA)9hGohNcJ*4l9
zgZ!j5{qM9Flz=5jc3S;?dp}`3kSSm6CO2}IpjFkUtuH2lQ*=TASdueA*&jtmTaPw#
zKR*!%qeFSyS(qc~$4Yf#(U92ysPea5p&E&Ii7|b2(HdDUvVdY##Q!XO7Rv3=j(Op9
zk=P=uXJ<TOtPqco0->?+kksvtd&i>Y5Q#Z*2<>IT-*d*~QP^|fBYN}&M&s(BPLfCU
zZx}$jB3vMwVh~V@@a`;VLr`7?nUezsmcMAx942ZrYDaUjZ+k#JDQ;z8Enk!}ZCu2$
zY7H7X84`&MO4c{oD7fPivf}D~4OvrHJ51INtlD!DxKPl<8ytO~AD=-%fZ!!}f9P}{
zyqq!>3HTuL&ooX6Zhp;Py*5cZ$J+61=Ltr{<TaV-S@ZMRVi6}p>jDFA-?pt8ZG@f1
zjt<Ja3dVUP-TiYf4M`9sq(m7KZa2jx>>`k^V#=Qnllkxxr)AY^E+1(}w;`b%FES1?
zea;@MUV>tA=gQqBiV-TdO^kves268Dm(HZ}PDiOf1zX}DKX~$Fv{FOSf^b@QqC}TD
z=;&86f&D>o*lg^zVG`BLbE#yIk-2Y<E8}<pOPag()Y|3Da`PG%$_UbQ;{6=UzS8Dy
zUi)dk#34~>zNK3|HRap}1paoUD2QXt+}u30rzfC2HRD~5&XwQZwxl?l)X4J}QCgS`
zJ{6_T(mEv4XnG3PdSBWonZ=oN*kmt{-Ja+>!90kn@zS$635JT^Ln>GbMHd=lTAe1g
zpLVcpH?T5ErdM=zXD!kR-*KF0lH^mye`O?0<-npMUI&%4Xus(0;m(!wt7&0ZhOQ6^
zg(#SSKd^$;RA%=>*V*9yg@x0oryYhQY?iKA9PQUuuQ2yD(C1O}v*giXbh)GN>_qso
z%w!<@4n&G9>%nXV$NAd8X?uY&+5sPEbtMmV5HOoO?DK1Xap6D3u|(*@^%pO$+2#V~
z*ne{zvK*2lnoT8dfR`H6R-FSt7C2-}_D|DuQ^rvyibh@Ju)NQD;@rle%^S7Vx*{zM
zf4{sa)ht|(>B~8iW3e8qdtqq?hxcX_$pWJDZ6r(J^y$06+9q&^lu3;)aL9*pkZ$BH
zyq$7j2ovBqgz*Y);;x`rM3#H<dT!0bHVxO)ytJWMq?wlXkW+v{A(7mI{6!u<C}WRN
zB=-!l4jZ_*JB0;zi40rAACAr1dObJdf{x&auj$}Gw7!Z1idmpEH@TEI`9W>+A3btL
zjL35g0H|5Y%_)3-7QcdYJDsyT(bKU7?c*F`RaVUAEzps;Q!D};wi-J&d-3Je`uK|u
z)1~Tj^9$U8HlDYKU1ivlZc(63iRio~<qokFvR_LgOmUsPqLfZe^<Td*aK{c8c7W_v
zW?b(kN{<Cb5`04vbZ*iio%Z3D;p%qhYKE~o$0{<9b!EP97GJEnMk_z2vW7f%x0#;0
z_6W~OM)q>Nk7oSY`eV@+xBPER{+LJq-;AS6Qnt=9nDT*$fKT5D2VIk7eR(Q1zrCrc
z=F$E!N}$oqyG#{ZN~_F7-S{rOFz{KR<9CQJtf6bU%Zm{di~$eWlxbS-KYHR$(FK`j
zTD0(FbhN0Ts0Y1|bfQHN$C;z<Jo3pbBkuhAmZB_fz(PkEOcy?GCDwq6W6R=5#sjev
zz5ynJU`R<lVT$M^lflYXhx!o1#ThY&I5H<am)nEJA03)(uAagJkCITm=a-lq-w7+N
z%!mFM-eD6j@iigfJkunXsqT_Zh$0_gdxUy0!n&0C*DmwZ&JkYCyRydFU$1oHDUfFp
zHgmm~#>B^Gvn;qVoVhrl?VuPR;Eds(nmWKBzXy_`&D)hl!ps#>|0(fZRM*0+Pjv~-
z6QMupo)(UY4~WR)D2%goRlF(p;*wYOq_WD-{Ep_4DuSZE2cPBL*YUUZ-<UkD`UjVl
zc)@9*A7H;V@4Ts7n>IIA6s_6szGKh7DF;ibi($VL9=6!NbNg`3w!<&)LwB%^S*0;X
z`XoZ}0}9SA?YZGXtF}`cQ<o#?zyv6;7T@DIaKi7vV{8Yg-bP#i7~UN=x=o+1GH<@K
z)AIvH$hI<`aB&$d#xi8)Uthg{-$^al<;)u4C^Mk8K*w_wa1d}*CXq8#onIi;h$vTZ
zM@3!uJF7XKN;yV2a}9vS&6DkUD>-!Dd2tC0<isV=9LtY*tZ0LGA3SJn=g~#0M4J4m
zhVE}K-Kx>&Sjagz>`=)*huzuu60VaGNW;)G*h)|i&M^xPh>yA2do!g(;6N&73(&2|
z9Xfqzd3l7!ov?u``f@EyioXV?f`ax;i;njnkDRO?dFh-!)?MIZWh`_QJ0l4!5a}uf
zgZ)RnAY^3_nliQX{KvY3a-P8kmL#OsT4E+x{!f8S)l|&u-K*CU&Ig2mH@JGi(MCns
zBC_8yW!e_T!cJiscs%h93Jje4^RNkRUk^3g=XaXYgX4IYcnav3aF*@wxO=;&&X<TT
zKy%sw$pWCIu<BqQun)vWQXtRU3<5{v+nt({+;(%Q@tYmXsCG%65Ez)N4K7wd30YTg
zD|Q;U{{kdppjh+m%B?P@i&LDU7lDEc2nPohyY>UvzMKyf18<#{zUIyp;E}|*K#m;S
z(@sVtog}pV;8*)bqesF%C!hSd$?i3mmZC2;%rK@om`aQ;-6nVsq)qgw^Bzb~=xE-&
ze?Jx!LRncEoa{aVq3H|9F^Pbu_J-<8f+3upW#oybrY23XjC$o4Y-{!vWDCA8jY`LR
zsK;LGC~!GueRMZ4Fu4C9KdR8IvM<>7|HvF6iHNm~M#m*^s?3UxirP%T9XI-0s@b9w
zojy<zh{%)*Xp+f&?s2)Muq0|^tTeK1ynAs$;%3m!IrHXO!G#Ktig+Kx{_FQ;8QJ?y
z)wKHS8@b+OXdb6@#+VPRPGKsAW7waquWxuOCv6i@A)gI2T4v?Y1_<Vby%bpP&UuwE
zQocdJ1svoEu}5eqX&*oV_0Y$zOkFvKaG8b{;T%;wq>^$a*n2SPj5x<2K7@MszLl|V
z?$H&uux=w2+=K30V#Yv&@MYb)d9y*-xKZ?{1Wx4-)IQGWic$aNk4EZPjAT+7n@`p<
zcbxatfhhcdE#rDkFvw`dlLuEI6zgX7@8%Dq=5I}#t1>F+1Sg-#&(|cGiunxW61hZq
z#XI|J2fcnxV%`zdw<rsK{1~aZ_rb~WUAb`gM|=N5;x45ue}tgnIKPmhzdp;Fk$=9m
zl^Qqd${#zP_DBZ}md+ul*o_gckZC=kkZEu>M`;+vIoiAa96e&htK#C})Jg!3qSvHE
z<Xd*Fhwr*0cUA`P)BF51Fd2<mr|p?lq5<O;6PLdVtqn+MCu7ekLBBw)rI-X?Kwv22
z&$$21o>{2ltK-Xi(QVS|bkLa;IY(hNO|B3wNIeMN{rc*4Ps^E&h#)D4(B?Jg`aBt@
z)R2kTnXFuT?<fvmAcY~%)_<o86vT`3PK>^=u8HF__Gh|CP~6`ptzMPA-)^OMa{k_v
zfT!JPcp3Es?1yxAY4J(j#2q5!keTbiDY-r?v@x~w@};hz1%<q%BMYNo@&5L9Ji>#d
zUJ8EASs8dxx;fTFAuATJy0RoQ+06^y@f+E(w*QT0vH*`xT7HH>pC-^Cql3C@^c;5N
zji%;+#gAKXrhynacqz?f()rUD-7J)3-ZI7Y<os7P2k7c3J~pCM64NlnNx{#%Ao#?j
zZ6MqRP%Of~u9n%H*I0l^Hi@+%x<1^E;h(WH4)J1+lP|HSbm^5fTb>@62lWn)f0C61
z({C_#H5C_Up;Tj3>T+;OS0u$Ed1pl*)Fp3nhl<G_>Qj<MMdvKEFHD}Q)jhu)O695O
z*~L|b^qx%~TQZ?`CyJc(^v!_$yP0<y8fwgE5@ZEZA4Rug;?Of^F7D1W&~m&ypr?OT
zkBn96Fe&095Kf4jne!*k>wxLnpL8sQ@eUBE>*?7!CP!z}=m$~7FJX*g>4xO#zFmww
z*Ks}p1QWE}Mnz>ub#X>joqgh|;Tb_KRQjuB=>3JzOr$~O$lO9WAP4s72wO=>CTHsJ
z_`d1`{7n2pY-Z4mF!O3QUzvNdyM+=Xm@=L{8}h8d!|-M0L`!Yw#DevYf;jicpYY?`
zH|I~!eMh8^=&3(o)X^_>Vdvh=O=l94zP`?F=1)0BEvbAXWG!qIAR#`%%dJ(0{5Q60
zAdC8dp?i>1h939<77XgC`hNn{vdyg~-@dW!pMT7YlzQkNWowna+w`C82zwIA3mbUu
z(#cX_%M2-O3Y(pdeO+*z-W7pM7;>pb7D|j&cnxXI3p2<l{>`Hjf|YtDgHSoI7uwmq
zkQ9KUfz7W^d)i{8oytwKrKU*hl(x5Vw+b`xHDLUcZG7t{jT)UJN)WRY5xp;(oS$(V
ziW>ri%H72KtzY<y16>iv)Nrf3^J+AA;f#{ZW?BA9+mt#QuHPpLktzNC*9L7H6h?+E
z43Z3XrA~`Ps}0^sD#x_)oLBuq=n&Czbk2W}<e*c^HzH}o;{57A`ZQuPsa4>1bpGS}
z+%<v}2fU`5x165S>0y+XgYy>S^3H0#(jQ$}v6w%Ke>`z57!&*J7K9FcXxvR_gJTS$
zQKwbR#n}UNcG2mz7PYS2?3+f9P}81Nb8G3-`%Q!O6owBQ_BQvBj28V?lM~isAjz+{
z81@69<3+Ttq-mdS2Ub>gbMm`9-<2zE6J`#hFtOo8XHhD!_GD~=$xC55`p!zpfg$(0
zYnKxQcd9wzNY<g4P9<ynaqOEU*IsL4Xz=v1uXm8bLK{vree7z|SHMP4GZVYU%rh%4
zpMPJi&Gl4>96`IAwk)(beNwIImrpIHKg|Vjuj20iwyXg$dosdUyaDxHmHyegw;c)u
z4zW@b3;)v+IYn(LV<hl>-=hkn2b>@Dxtzs-3iRIyss>s4Bm3?zF28h8cXEQ-_dm_X
zS#Pjv*gB!d*QM^IfgOBprmF%V-C;XQ+#;HS8+YzB1t{WOZKFow==bQOR(lsL<iG$|
z#WA-v+6-=0f3u3giLDcAEtV5L<ug4by4|aH?=pFN;sm9R5R)i2ZQ3vnpt~2kWM4Gr
z#^1Je>ul<4@fy&BG2ZY%@zNFCGXl~et_SqfD!THH`Ia)3?%;BTD}S=i^&FsdrhEF0
z8y2VAE~%rAJBues<fUj990xC@i7w-FN@b4+ZNRLBB>VUOxPR6c|89Yixw+v{E$23S
zGqy>8>z(fJ-`@2NngGo+?#SQ}t}uI|LRo*ez^+jpxO0><z_0Ht<N5c$%=+f&mg@E=
zRz0{W?HHDxSniylCs(dq5#a%Oce@vFX?6YS(*qr{LnA_h8@Eo-UUBQ_i{UF(?<Gc!
z{r2&GeavH<#k~R{B%m}m3U_~b-QN6zv$nLd4Vl??SaP#5U)7X*E*&!V+Mgf!Ugby(
zh1x)IfQ^?{QjTZv$Q#$Mhnt5joYkBG<!!g!VMr!_L&W+SE83$wlvW!=H-*WI725X>
zeANw!cd+n#uQ%_#`Lc#9i`<{*nw33+N;WW<%Mv?r@?_kJp7d^Hg1OQP{`M(1@7&<r
z?3Y6~4Xm&9s?nc-t)FI|I1pr<+Hc05=;6KhXN%B^T0y7VIS%PchC1;f6kQ%Yv2^oS
zDBUm@`IE_~tJ>`qAzG<9oOzy&6nDwRz2?t%i|=1_PDHI!Q%m_a@b1BZWptRiD^|lw
z6LF2|E1Me&MqU#2@fv(1(z;YWDWj2pe@;E#ufc=A*;z}U{%RI@cCy~of2>Y7iVg~D
zB_7yq{W$E8a`yw$rM{~@`8xY`{IUvzCKqW%h0FwFng=r<^rVh0BhKBT<qCB>p+PVJ
zHa?a?()GD5T{kvvmG=1Yh3g9$)U^X{=p2PDfOayS#Zil2zF*M=*q_|d=+c$z+ehy{
zn3f}YqLa_iFHv#Us3lF*Q~t(8jW(*P34y(<l_fQf(t-lnkiZJmaR-Xe188#xwU1jA
z%g6`swbd<0E^F9u=<u5IE*E@!OaeN_42MqYG{i@bZ*v>WlUwm24FB}}pWh<s0|gMy
zbne)+wMEmlH}+-j&3kzJ3LY~aRWyWy>i1m!&P3?I#g|*T^Mkeq1wn#sfy=k$C|8M^
zEpyko&Hhc3G&o`g-lKouVEZk-2fi*C_D=_cwPB_+PM_;J1j*w8qXo)HAxZ&cWR@uh
zo57M-*Bd;WhifjaS#g^NS6|K0deeI#X!#bWh<=jVi!uPfWUiar$v>-sW`#S3L2HBz
zq0xo$6owlT9>(etiYEmmXtW&F0}dzN`cHVotnBaxt!=^tp<1&>;nIpW7JcovHSZVz
z^3x7)CuKJ#pPZyit7kI4v;SFtv!-j;m;6>Jyf8n0(wJ~6BJP4i3$?XSs!*rh0+&je
z+O0S27DeJ1s=!XeRxJx!YR)Z29q@=g{rpIOZ!ns`KR;V4`Cg7_x;mXHz0GIXoTA#1
z6I9SGTsUCBwlP2J(O_;GYSO0r%%~Bub_I<y{KruZ$?ySw*;EzbYK4Plm93;ciTGIE
zR@A^278Z2N{Q>W%Pf!pd1z%U;*WD%&q^hNwuDM>+Jag=d%RcY+e0GXgl?jA^`Zwu_
zd~2%o6&knD+U@fuRWvv0<Hx_g;o3e{J2|kqyL!_GXktL0?T|?5)tSPb0o4pRf7;0J
zC*{l$t6q_;1xdlAXeo_*@Dp4X7T5blrhP|H0Up@SK^1*~O|$oRx3?i8O=u2zNC+tv
zhs{^uDz4wKzOSVoj;5=}zb{5ueUqmN)0_RX2%?{vZ%V|bZNBh%tjr&fz&&i2M$asZ
z!<apSoFd$>$w>44_l_t<7DXJ7pVlk=qXb_e1|!Uboi|P6mu)8iIm^;G$Kb22kK1o)
z<uSex35)A<Gdqid2kcF1ax}Br|E!s%&TrtJlD3-G>R|B(2hF|Y`P;~6y*95=>1UPX
z7QWVVgMYl{nh{ePiq^tE0m)*i%J})Q&B%bc(@r0B$~c3rRHtRyhoERGsR?}fWO($5
zkB`7nD;)<f4}YG{0Kr_NYpVMS;$ek6_P@<)4wE|~u|*tu?_MA4qn$t`<h3lOayzmL
z%{rGQv5(vk6(Dfa6$fqps45>K&`3Q*1E}KK)_}OW;rs-Rc}`OdQdj8e#;d=-1r$Ty
z*dc6Zy-5tPoUq?+{LZ40kfm@)as`^K)kG0a`s4SzKL?U2D2gpql-?~fSX3PVXgt<@
zuCPTn!z^|o=v~Hi49GD>Eb*>Ex}y7NiV`K=lDtzhhvhDK^ym@Lt9-c0P43^jXJcRO
zc*{MPA|}(tK&E6sQBgkJGis$ybDVMWVWS9|ZtH6&)IAN8PDgq^ikYH+es5P0>02QG
zULoeBr&Tcx&d6~1Z{Sgw(6W^?TwHpgAJ8^vlJoFkTM}e{tLF^9_rZPhwih)Aa&$UX
zG(1#vdHHs*tuo(*h&)pZYJbuYefdyeNHZ#VEkRG1j?-Y|Kp!r*7A;%!H!{>UXmW}V
zLcH4asC|{&NjXv6Y<ar&Em@sVaL^IC%LhJs_|WeEzRq3pSdj;_MlAs|s7CJTKYm{{
z)n%l`+pqH`s_b2xW!z?)QtX45fUsdk3qqZuQd9B^6Q~x!R=S}%Q#v=|CIrM7D=P-m
zO2F8{HG#F0_W8K&nS2P9q0HkZz`sZCf>iz)hw@42df;$Lfo5v`CgIkf)J|&_9zzwk
zb>zq=MFxiN%+f!rCm2&U6X);>phUIT=#sp*7YC)xuS%@)I6N4rlq+cjz2X$46$CNX
z3|*wMVamT#sw*d~|Fes@gNgA^FJC66G+xK3eTT64kCC2+CK{XfmAJszdS7LxDC}{X
z4D4|K_>fbIrJvV!z~3%+@)mV9aA^wDahxPY)OC%iRi1rmsyY7X;g4}I)6zD9b95{y
zQR>iPGs37BSMI3KZ(W<3TKafkB|N_3?iH$Qe}3pp^<W=AX_142!}^j9DI;)-3p*&j
zWA5t=k{PKa+o`CG3$V(`oBs$hdSYm`!QQ2TULUN+kMC*RS2=7Pn<hOi4IF0sfTRHi
z26m^H4ub6>w;?{?jh}nLaROe2!&(Oo!|Qqg9rD&2LCR7N2S9hxiAW^{q~Yhc26*jt
zXuK|%u=ATu&43*3me;sCJ0E|zUN<l#GBwrA>Yp!PGuM_*SE{MiUQ7c#O|9FtT~rZi
zx6{;`HsGu>Y5emT6G0?fGUT<glF~Y67A^~TQD#GFOR`}J#0K3KWF$J&&a~MYsEDp#
zS0mTS_uC&MSRjGOn0Apr@g(%de=?}J8Ct^zqD89r<;S-^iKZXQ%9x+s9VBS;BHg`D
zA|ke)|L4oMZ`u0V?<mLQ*gL&r8h8+*BH=3yx|)r4G3boAYYq@E?^#G~(4q3Y*mmLV
zJN&F%YvcKSwd9I(ahu+s8qY}8x#v2~npI?(sq4xiYwl&I9=>dAp!z3+q}G5lJm}^}
z{vIrto_=*#z54a)jTvF#aI!%gQ<D#~-Db)Na+=`$RVR`8Q&Vr2`*=cT$M<>7He5#-
zD1${fI2mZznhTTjVFKr?=@JKn>=x+Oc7WG7&vhG>q&XgUC-XCv$dKg{_3ofGsR`{F
zc*w+hAg*dACdv1gs?%S}3@VN(VQP7_&GWlo2i{R?uh`4U>C)xPZtvw30#Vc^lGv$j
zdq@jJJsqtdeef=${1X`(6ePH`3_~|r`bM-Qs#o`;Iq|P>TjUBrC~5*)G}1V>aFBs#
zqdeXY`r5JZB+QTc<A<6i+G8BYMD+)+<3nuYFTt$xZX)hSKBQEsy6V@=sZi!PFhte!
zNG`w~#-Mz~id2lENHt-gFW6pKb5HuT+1Kj<xJwod+=Lh_a4xT{`8qm(g;vuBK(m|<
z>meDJzJ4<j!e#X7gGNG+AXuawJ#Rbsa2TJhc|A@UknO;<SSi<N8<7dW`SfY#JdFkx
zO7JKaO549yen$vp{OsXO9M<5yGfwY#1~)?a*;#+?hzL))s=kfvo(f$6CwTzr6fl@O
zhnR#4bGjKaR#eX>5I9;ICsc*fLtlcIFG|i0*x9up)!(e`wi8z0w=613LAy3!d7NY{
z^?Xv#ZMg}92oMdK=>Mtu0`_ZpzIW3GOt8I9zL!^Ms3f<8=e9mW(4G)BAdhjS_whn`
z5eSNyV}{!KKmFFTjqbyDa(Sf*S3GoOe^J43dQMfra=Q?%bx!79vFdF>G4j0o>a*Ut
zGi4$Z(iF}?OPvtqtdo@Lysa@I)*TS<>g+M~L+gSWyJ_pzBI~0p>u~ulzb9NH*!I!m
z0I*yhPSW%ws&k@#ucHt@?9OOG$hmQ(spOxDu8C@+q-4%nh-cY_BaI%f0~zF!TEsw`
zCN}3Nm5>=qeai=>WY}D`eZPv2X*wbVUqWU?oMN<obT>dr9!EHG(0%963SPX~)L<uI
z3lKl=5huy^6Rl|jzy16;&115?TRsjx&1@r<b=<*>ie7z=n0Pl{xbR~G$K3mvP)fEh
zs{kI#ps>c(ug*1uKD`N{!Xwl(jV5IhXaebaKV^86_G7*_U2}WGt?4D>ue`3P$f6Zc
z^t2~#SEh5|Igxk4CGh3REPn~OYH;x#BMVRj*yhczZ<aI4(`gUPCk(~JSH{>ea>4l|
z6@V+U@ob)j>U0_<G6)V7>O1nkq5#lm)K-IMKTP&&+q}R6fiWToBpdHH%5}hE@2e9~
zDuLS=qH^K0X?0n#VdA&&&$(%7x6h#&Y4B`cvi-t&^X_mp2wcQ}D&>1NT4V@@N<>GG
zzV>ZK-Lp8G<PNAvlzxXxcL@R)C>yT+Df3WR{BqN7A3lwv<9u-nnyn2`d%X5OXJ;HU
z1ZI@pfd9k2dty(G7Kew<OZ_2q#iIAketWlktHq*;&DKt@*VC<szOjtB*levQ=LZ{K
zZ~CR(C^>{sgxXVl&dfO66y0HGT7(5eE?0#b!?84K{j+gc73j(-_poV<67-C7CCOzB
zLeF-jYEHUj`JcdR4$Wl2rz&s(ldtI}%OO~}!8U{3#p@W${AKEM1HR5sg&!Jin<cs3
zJ3(0d*2PEaFPx#ZC<ti=3_X9%xX75JQ1$`C%_~MPCIyNO!K><Pd)*g?kN@AK+AZfg
zmv@c4pAUhxNff1tg_RqDnx|dxlu^w56KNR{;R2D!u+e&`Gub67l!cL@t@1g%sdd$<
zcy#SDLvkB|;a~_cr}3u&YXz+ayF(JgMzn|AMA=C@*}j!<gFV(RX>?-#Y?lUe^<~-;
zE38rCdx{xyf9m~5E(*^L7(!G;gG@i@CBVp$sCX3D40nBzGdG>oczEF{A?3SOq0mHS
z7Jhhy;n=KeJRNj6k+xdcHs}RsdwP!Jp#SD+sHXO+?&%Qbn%+Cpx@cPY$b*qheaz1}
z?|Sic?0^eX=H@*e@A+WL+|M(P-=3*|Fm2}9^Z+eorF3ii6IN~Zy_~b6tlIfjioRXw
zo_?Xp3Gc7XR4~j{@wsQ}{nq#1Z&@^H+(qxuazrfrqjUhdfh-F?pnWhgEpD*C>2g;M
zB|yGn+%e;p8;)MjcAxFC!+LaU3QV;4Q%@v|iHDi-?P47Qk-s2w;Mvi4khQfsB17Rv
z-!#6Ll8aaWzKx>vEY#<)jz&5;I>b7Nh=j9TL>1@@fC!?HAF?EElX@;i0RT{$;ArZ`
zJT~6<Nz2WOe5_0Njkj&B@$cCtu(D;H|A;6%VflFpT=fk(FyDxDh6RkQ6^w|zA*s~N
zkSQss>n{Rw#)Ad2dDw&_Bcod@Hd-~<i@!(n3m8~@V)HzWm~THOotkoktuqf*21SOb
zC}kcH<lZZ&L7EAk(b2~ttn3JeTkYq>L`^@|+C!(jVz}F2{1)VW-$&2K#QT`#{YG=J
zg58OPmHUfH03krlcuWAzOVLD#5rI!Hm@nduW1pwRT1UNMH6b3@3_QUciy;4z4T@9M
zbaWKS&JleN=iO5-Es)0JG_o}P;kH_r$eU+hXJ4GwEM}ty_88Fh^kW_SsaxeYE7+iZ
z=;5SE2pj^SN*`kIIc;i2x+)N+u-ELIGT=e3c4gkD`QL{mvE60{_doaAj3<zbpDLkX
z(6chyBHVplFI|NsyD0RpX=uHu3Fp6<qt0|!1mkVGb{)&Bg=s5AN5BV@!95(8Hh{-+
zq;qXBG;25OsC39%E@_E|2mZ!(a{6iV+Rx1)JcNuw1uBIUkckw1;)rDL$2jOviC`m<
zxb;Rs9jR5hSq7h1@6)p6a?`MP4C@Gj5lUekh+yC6?>%S9iISVc?Je&X3cowIIylb=
zfJ2eN!L`a%WvAa~?P8_SJ@|MFpp?~*7Uogrqjg43p4>6Yj>>ne;`ePTq6STJYf176
z9M49cx&UCb>Nn-`AXQHoC}<KFS641p+gD>p&;pVKucoOPfTy<Xnf9m=C2L+^YbmnQ
z0s<xu886lxq}8-uSjzfU)oMeUuS+yG9xy*|D=1hJZ_aP^d?b&|kBH1vfDojws1JGr
zJPi3t3CS$6?c+3$vyM>1>*r?Wo;s!X{P}Z92?JAV+CVErakrJl=#K5DhTHWBw&uLK
zbHa{-WIPq(w|xr`5WS&kq{^cSfRmPb=s!MeESD(V#I2$t)e!5=a7aaKesw#x=I7L-
z`O~NlB^;bv=RwTGp2~Vtgsm+2XMQ^>;z)KaF9<N?HkX3POps#>_57rnlTt(8TLEe%
zjOsOCZnb9m%Vig%@3jhEUM&ZDKEHD}^+Nxs%d47NDJ2@zuRq+`dGLkByCCowsU<bY
z@1PZc$TB>K(hQh@2vv``w%%U7ymiJMGFosOAw~@6>(Sz2#I8}D#$K^2uh<ikv^h4u
ziFF69{AZOE$)Y)f6alf?9o=HMkB>1gQZ^WD1e>3d5XG}Ir!7|ut?hM;>vWD3H^?BJ
zF<klnfn_lOZFEC7BU3J6fgE%?fLQmT+JDmCSnMy<6vrKOL<TOXhv7wSWZL`<8TEye
zCmZl;`-_3U)?CMn&85He!_%eh13i0rnY2xA6?bZ!ZS3yM5{b(xFP|);6i%_SAv1$i
zcF>ogr4v8P|0f$pRDbYQ5xb8cDw6-9saIGS;?gDf14OItqLc2E`rAerwtnBW)9&D-
zHi#-ZnRvMz)vaMz2fR0e!a#m-_@_<GcHD|U+B#|vEj;nFqq(O@6Qjq_2f`Q{wSYy3
zve=zU2$`ltwxK4s;W0>#C$jDOYDk?$vcq4phXbO0KhY+wwl}RH!m!3Pu41T;k6(~d
zw7gC5uWi2!Vy<9-9v;w2L+^uz!&1w$2~8gRgx5XU*sEvDxi@=UZ?d5~qBL#gKGP4l
zKm3k>LY!^1{o-lqmr|wv#L<wYNr10FI2<UW)PwJ{9{)=V=)*@x8joW_G}4e4>l((!
zcGii$ZF{4Bj`hZIjdeQoN?HF!%_U`~R&ic(f0hPOrec9Wiw`VBT9_a({9EL4AQ^&d
zbIcx^uDT3ClnVL3NNqW7#S?-0>;{@|YQV&#B>wcqlP4X)FBlTtnGsL)>E`Oe=-z~9
zm!5?Cq;X!mGh96s96cFlgNk_~4-D`wF6=&u)M9X_9F69`e|UOsBOrUoondwT$WL~D
z`epIbE2|pK|E&`fH*lR-hZ|2n__t1YI{C{R?LF&O-w9E~EINjF;@#2@qofoRQe%G0
zHH(G;_stqZw<d8=gwSoZi#@^dEBa%AYurAgt*ryyq6Ra)15JaS`pB4<_2M2k(CzwT
z>?SpHkG5A8N4_cBsnlJhuu2UPE^LKRV;6Q&ZPlVh2}K=TCYN6}{98HX(wWwmb8^N}
zG8+9}4uj6EVt;Mba{Pqb)tVmE`KY4$2~!o@BkxqNU9jhTRee^}-Am$%26{yCJloZE
zBs~g2dH*vo1ip*=w-j;pfrAGV(cl3ZAgVWq+SZpiHlU`Q=ZYhL1k7I0`t2mOkoDHh
zzAjd)>1;P^f<v=^ebA6sWtZDUIOxd1OD>=QRepbeJP`)$NylrnxDpm1QUc@woC;{%
zo3bL1J7i{Msbe|eKKjB~>k_YS?X4R*_%s;p{$r@;m&qgj-3F(PxSq7-%ZK`d4LTPT
z6v)}+HwDEBQk0#o5$==xMT(vg=F*2(OKQ+BNH`!@&GRcOT9bQ<bb)FjlDdW>ky5Z3
zK6Tuxd?GB2ITWMeQ^(X27mnrP6&Y&xcT~T<+ZAT~1~oKeZ;k^UcTo+f({3s8sYj07
zCEZ~PnF8B<Cbenv`=amX4VML~zcI^yXIfz^*Z2Ky<mi0fc+4zdTG{SS`!_sklM^=V
z5Y1uD>3;`L4qmPUz)KT1T6bZ8_81;Qye&ADn4K1pnZe}r2)0D8UYcL|6q^D*hOZs_
z!{u<t4fRr11iwsP7aQE>v8y$PkH|5~14%C9qNg(IPjZdl<UX}FoGbL3J=N6Kaj!FL
z=d^Zvk{~i3JP5`g_=uZhMfZPA`0#aN@v==V{nwE5>>_Ad4mS;0mv6jMIESD(1tD=U
zDwnmceXZzm<d*Tr!r%j8J0o5D#q6HYeU7!dN?}vukREBfs9p8vKRj`<!Igh`=cD7W
z9RLFCeO%cBWKCM14<9^Hh`!Y60*XJp@Ba92JL2-!hYqX#wPA0^;2Tyif_h|IrKdO<
zp=mLi(U&WMM=u5(Sdad2SEnbX7#JGL?Iuk<w;+e)f;d(0KQC$7L@Sw+bn_Y%xC~*X
zeW<s5wjqvN(#V21bm4ksUDNW-zbDcv3DRJ#6ES&q#51eElR?BEL^$`p`nhO$evCri
zqQ<^!b~Uv4xY%uy)vaT%XX9LTjDM+kHN;v2=)R1$Sq8|^|IUv}R)!ej{B6pyR9N`u
zbTZyzMO|Ip1`QN$B<fi{OPM`&-5qbcp?el&v{9e=>eVZA0@%<2JgfmSI>-sC*QXE6
zc<dxQEt5B8R4_=y>RBiaFxA_eDOxkMCsI0nK4BpO72b|acH-4Ex=vjo?iDl^B^0-$
zcNH`5OS`*xj(Hgb!v<r8@W`J#j(Vv0nqmdzxb>ExZWA5j6&9xCnAv8Ho174!k+IRy
z<dRQ=%%m-hY8usZ-65=~sQ)oq%;A`Dip{I*Mu{t93!%w>zdf{=U`YghZ~INT-Ywxu
z%;mMm*Ir*R_Ji&T_n&iT-Jq#5-W?Jm9R?td=gX^MBzepW(W_m-$<4&e`m6=q-Q6g$
zO1ym6uW5njY1=qWXF5R_H@7|ePPDS~9&nSqpiZWKgUB5-fz(X9e%<_i&9&B>;nzI!
zV~1Z=8(pyQY273>ui;90DWPHYl^-iDQGGtaz^`fvid@B*S&hXDOSvfW2<+5)`-V|%
z%2MaOP{3?fYs#oJfisw;(ctc7^J~h5tq+6+eSf~Th25Ki^WIGeW~9a<#OFZ&ISoj#
zeFJBpw`@r*|Ib+h4J2#~#4=!n`i(CMnxB6kk%^O{)iCeo;NtF1nB_JgFrAP<_+%wj
z)m%_F(L3X<Jf8We;dy_*mnp*rE-JDpSRS(~U)OBU8*|Mj7LDd>TjhQ_ZnLw?scBb6
zeVdA`{upSVXu?mIY^k+zbJG-1O?*sG&na;EutVq`#~m2d#<9`pO+WwU8_(MqzM-r8
z^(Wh-#)b+4MfJr|DF!=6h=HiiDi29u@Ug@z4PI7$9bL*qoe*Y{mFOOmQIoVn1ql4X
zW|4x3){2#S!T-mYm#AF%XC**Q)UVA+<8Ir=RJqOXe!h!CozQ7_Hdq$3>REjFx>k81
zGcqp3DGZKnQTTn-T>EXV*^}panXy0D*~Pj*>u+vVUT=I5X1md{T_6H*Dld8ecD%!}
zU%J!Ho6Mf7>{yn-(JZlcBJpJ{vayj$PKZz#Y@48R52gjV9Il1!JYY%+ryqB7UbC^m
zYa0w1@?*HBp`rcpqJQv!;kz=uypF+Rw|8_K>*p~z>r7FJ>izm@8P_AmSNN%iwK&|x
zV&jDm-b){7y<zOFSlU1!?911+3TLA+Ie8tS9vGVO`IS;{dOl0(=HWl-(z;gWx%C{M
zEWWebYU+<CV|N0#gJzvXTn4ar-YWhyl&MHH#gRdaGRM<%`l~_yzb>-T1x)tyyXuxd
zpPeL01H9ddDSo~jil%WqyAG$GJb!NM(`m{Q^Js^g?}jNU$Ji)nId6}<W!}B&c^Uq_
zb*tXLMArrz-EnZZ0@spEm*D-0BWb*Cl1qU>!|cS(&CAV?On9C+WKUqwsp;nr(y(y9
z!hp4=Cq|Tb!fIL=JG+=Xk4Ja(!ww!)j@j~iMNww#SySK26Pn@QzJHe%jmv2Z6(*VB
znvIvKt2X*P-u5B_mzg6o!aYtyt#)ee^Ycq-d0jW%kVuce8cUmf#X-IadG;$Njj^(t
zd*&ThrKlIRr$FU=j0>JG8vk6LZ=yN!Mq#UnMa`%G{M@@o4-8?g=A{L14@9ITWHE(y
z@=yPqonRIJd00`E2XM#<L<1T{ukwa617-4u;~z^`5mIb(Wazfaq(!r*T;Dh<xaHKa
z{__+M)SWI5x0u#T`Ed=x2=)L4yQFPURZVfZBIa76YcqL{GVs3oXSb%KqQd8AM7E4^
zUzh0E&+k)F8K|N7+%P3`gPh4%_Ma(%0wLDvpfBeKn`RVwO;Uu#nm`Xu=`xr5w&u_K
zgj2Y7j(=1N2I0#&wsyn8oi`?J@7v<Roco`L#QeM%IQChbZIb>FpHGBWwxnKX#$jN7
z>2>x2tk7#Ri|CU@Z#XeHIHvHs_H^_88%G4*kL#`7IZO&-N@mKy3`&oG&K$nClM;Oc
zK*_udpPQ?X&dmiVmzLJ;ZWoF!jyUnJqm=_4*}rSjd)tynrPrEPa0(Y(U9PKBec5CD
zg$*lzx9F?l_iK))$NH?4?!9e}$Xr#Lu7~)+<`!t8{%6RmsN{K{y)-n<H_kO(S#iN!
zyD9dM4J`YI{LkEkO(x_RljrNZJ$Dx+se}?OSt9dFFtE%>x;v0#nUj<mU>hcV^fq;n
z(4ps%J1##BSL4F?txyrUEw$&~h`1+vMz`+1<V{*LPXDTk_=LcP(=Z8=+9JOlLtAs#
zBX27@+>ErlQGb5tX*P$4W`eMgf-&)^<Ap*5AEPi?;Z`~|>4-k#B9|^%qJ}9EEks*Y
z)m`*3fIFh``#0?7nCZ1C#@BM?nSRe3u;lTZAt534pV*kEH9sHpwrJ_1@ieExJs=PP
z&Z6j^ruR&GF?eu+ax*3z9uZ^LTrcpefxAm!+$x28hlgYUdP`g=P*Zy1MD^e=`IBe8
zrpGfk{X5-TLXn<7SHVR|H<-n>mI*^7d>5QeX?#M8fKaLno2Ud&*#ApC22Q-Ye!|Sy
z_;^KiorYPCb_owlFAOU#A7?pTk23EB!isdKop&N=Z3Xv%06F3M|G0bazn=Rx{+|>n
zBT2SWQVQ8*lu}A*NP|d3Mr4#wO37*{LMT#EDyfhVk`-lTH0)4BMk&!!-}}>feZHUn
z;dB0Q-L7+__xtsFj^lW&L+fg`!)%34yX7?PDrzE9IC-8xkvPB72sc6D+>UoREzYWZ
zv#_bqf3lFUh)xA+Ww`AKnxqqaY`~5!g>9n&XwIi-$uxOqH9an!F=PArCH3A8KeW7U
zT~&&TDu~IUf1jP@KJa3>M;sNrXm3~rr@m)sZ_yeWvDo*A_nX{;f^@^?&cdlcUA5vu
zOsxvwj2P09n0R+h&fh!BVtnsV9*ATKr2kYdqp2L_&wla!SRd4Vp}lQ(M3hp1X|%)B
zjgxI2C3HwT+gtvM>-@_;bE8lE*>m&EapefpFMKO9$_$OBFCX8vr(s?D_=I?3AM`O?
z$`p1j+9{a1RjYO%I%I$CE<<@m64U)d6(lm8<QNth0-xic!2Ss#0i1LAwr~z*Qh9dA
z%0UbxDL(#E<9CluP7gPKJbu2je6quZfr;4`>p)vh&`51Jo_<_&_SE6KFU)z>tw)dK
zFW;=>#Q=GZI2M1+WQcM8*Z@SOKyzZNKq1pg-KE2>|9-Kwrf_W29Q3{Fs#CJxT^(%I
z(|D7UR85llzWliJ4uzTV&7BMX)NtjPq~1H_`8hZwv%iktG>efl*8#E15X&Hyb`+o$
zvBUAz<NSW~L(sCmvQQ+N<Eqwu*^;V5q?O~EHIi<h!hVgZ&X)a|UZmri6>5JcEHF^0
zJI!XUKEV+oBzLX1US6ng7d3C-lOolL6EELxHb>d=?wwU^&Km}EgYg}k>~#}}o;il{
zBr^*SG2yx9>MGsB_k@4YUL4Uzm^#dd<qg-^rFy-?gZon-`Ycgd;vRo;sYZ8av-5)x
zgxAz}kW8BQ;(%nr&{;zw)S@yDK0B#}5VPQWCJ%&BtCnyvXBi(3T^aMb@5-=uYqtIw
z)tJ!u{^jPQmnW!nwK;h(KF53Rhn9m;Q8LB3P7Up13tQv2n%=Wuh69?8+V94VIQEex
z8^-ARj%f^5YBIZ}$H}ffaCn!>p6}Mo?Ok2oWxY~+?}qrr2hI(eq?Iv8$F+6PvLAaZ
z`^Mg@dihc%TxI0QX+8QnekcuT4!Df*hel}^EhA4`FkEC^Y*DB&Q&D+Yy<pR2WofB3
z+qOC!82!QM#@&{>o%8k;dGI!dt(;}OxW#4h42y9(erpzJj`geh8#Oz>DOqZL^~Hk3
z*v&(dlvPY*{q{H4`Kf(d<Jb3!WP6{D-{gDS?Muvo$#iY(c_b<dvFH9hX~%8*w)|;O
zsJ^(&#bExJB|Z0^s9*DNO{HJN^TRrO4(&TuR#P(`#FRb+;6>C?D3?&559OwgQK;H+
z@enR07be7R9IicCJ6X!UZ%?cGSnD{`8IqgKu4i5nLxuZKnPM_SBeL!O?gaO(32IV2
zlw<Gnx4TGtvWPb2T>u1;qZtbC67f7!Z_pU6etr!z(k5?~>~`aEOUl*UMXd(=_64Se
zUA_I++|sh^3J2@_PW9t+d~qcNbxO8Q#x-l6)}qK{B)$^TmRL3(Qx#%_mBuAv&*6Gw
zapRLazc*@6j@s3&SL|cmssd_%Sj+Fd_mSYNgNH+PuBF_YS#rKrQ!${8U&HDdTeRIz
zCAH2FQRfGTiVp{9i4aTZmrdi>&M+*W_JKR@XmoVZ-!5gfZ|~eVHFU|co|ES^uiU;W
zbAz3J$JZ~9+h}^BEpbUr4Zj+u5kAtZf0#?;DC*r6Hcvy$5Jp%h|4L0Q!LUQ4kc*`=
zX>P_~6cX=&c+~L`1_sJE&eI*iDX?RH+KJU;5A|GnurgxeFuU6LbX5)e3#)<}`X(JY
zhv-W6YM9N+gFOx%Zhf=T?No=%fdKbt8ZSD;sxd_##^u`I-}6LA3+)KaFnH3WBU}d&
zd7gS>07}uQ+%GL%Usu@rOc3=)&lMM=_;I!MI^7v93GGYrwzK1B<tmL(>t^eH>hfr#
zjtxhYr6t?9zxHtr^^WKjfrmkm`!n3J0P+3fl9CeBj#CZG7nkvj(D((M4NCU*ERT_v
zIND?zUG_cJ$e=D`*XPfbBI=x~`(TB&@1kmQN~u*|F|b%=LDJ?`io3oI9i;7(ykyxf
zT0EG^+zZ_p79#>jgvy&A6C)A$I-fZ3sE8w=1jLXY^MV&N&WFU8BLZ!C(dDt{V((@t
zt^E^xS>kM*qOaSnZB{1}VR&y*>(@TiekT0la5cM-x&)~7HE0f=GPq#CLdUdzNJN;e
zo?2hl7QSwpvGFd@Q1LVYz>GOaUR>Fz4IsFX8&8zj^wX3k1+>j(<(HLI9Ivd`Z>)*D
z-2IWBS3|$oVbe|&$R13~pJ^<w=pUUrjH{80`Cy<g-U7(iMGKcm7APtDU0>EUJpUsi
zMXY;u5?VEx@2OES5)2GCnLs%}4^z%1?o59p#MO93(S+RPep^An0f_pLmePSLHCul!
zko2Tu@tNe)>zx1QDhqGT9))gQ?j*<z&=}p{XG;E~dyM81@prDn?i}gqm#zp$d0}Fn
z&-#=(i$C~v9jMg~PO1$T%keLIb8Hq|-Lw_{6)aka>3Po#vA)Z46=_cb5KXpuikV(0
z91-+fB0unFOIX*#RXKh4jMB6j7GAsYfa%(##2+@+ash30OY}8A77xp`JaD^mszpW}
zJ$I75jBi?sedmySM>IAy9Q~Z6!Mn)<T{*jrLUSg=oMzBmif>M<fc~HcL9++35h&38
z5ktds!4FR4Qgke<ict~hy|unoPlM+E5i<9lPc^!`aqJiOvi$y%JLEZVSnfbNLw<*R
z<>hyjmVSqVIzI7aK&x-&Zp&Huj{@#qoTaHS+549W-Y9$je%8>wZQ<;L$!$S*;6m*U
z>iPuhyO0XPuAIGa;UuLAq=-lbmFv^T;rP5l6%{3kDkG~7B35+!=}wp4H|8jvI<R(0
z_xMDE7cx>^Kdft?Y>@iRj}#oyAF#B?n%@lxpl|@Pz}Vj%asidBMAs=brKb6N;x}FT
zt6ukYQW+=$$1u?GGlxjM@$T~5S?2|;4;@1FsK=MVv4d3^Wv5CAZXROe>7{k>AFJNF
z9&1VdncLIJs`yU(v;npocjvu-xo*>kjzyIUlTEJs25!2sXLjO;%1TqvW*vlYuq7Jj
z9Le(+hbY_{<D>4~l#+etDLMJF<N3A`rkC6$7tfx}W6vcU$bw=4VV~RCfUPV@Avq9U
zCd~X|PBKmtrV2@#nR!N3u*n!&>Lh%=R7kDye^YsM1d_}iwx|1_i~bYe=^lO4b!;ES
zt3^sm?cUnMMMxnk!4M%$6qvc*o8x;yLq)C|#R(-|IU%3M!^8cXX4ILP&AL>pzHhe;
zFzQwiPT}JR;UA>lbBdLa9SE)ik11j-ce2a`*1El8ck#!xLD3|}G|+?1jtgk?`bpKP
z;xwD%UDRiS>o$$^U)J^gwJVLg=0-kV)aJkwgYo$l6D4)0CfI!V_;CkPE8=QDP(xvW
zI%T4@2;nXCcY9egGjI?8w6x(c1qPN*N?&4fl3zvi*m+(dzULMrdt*Q&eT@iH+C&rL
zb)Ex;-~}Q%EkGG^xC=r%kyJ*>n)N%&oDrn}2ABtx@^XT|&AyJt{jh!d-jjm|X04Y#
zAd_dZZE1Ao*HPVmO5}I8U%%c{Oi!ll0dkZ>4$1K_W99?(A-Y|mDMhjrXc2X2A8;KZ
z7Gn?Xo8)H@==Z+8&5#@4HTG>Ui65lK2_wt;HiqN<NtX^z&1Z{MOxIoiSq^lY0Hltp
zswXyTcG?dpLnNz{&rd1k#(BUvcx|V1Nxz8cP-rx9ZltTz%6hLGS?h-c<qhvQm4Csz
z#FmEySb!gtJl*_S4I0~5W-W#w5P?=XettCLK<fJ8(FwoD7MShm`t8{3S*@0GV@g9n
zhy}{^G~s^m`Oba0@OfWU4{_Y|fH+rGHDe+pgCH|#!Ey@=&relrL;2VvsCvLAUvKY;
zthz+#RlIqSuo7W)1IM&^=@aP}Q^Y3q9MF7~F0TuT1Dv-Q_zmdHRz%K?wRwDg?&wbs
zj-{?pULXhCDNNs;cE~5I904~+BaM(c5qMTo*U!Rz>9|vN+3xmRTGhh`nxyxiW*I)?
z?`2QYuMM1>lu$S$TebS~S;bzHjx4SCO+Rrb0~|u&w(IZs%f%X+3Dub(wQ+KbP!sZK
zMRowr1Tm$=9~fO&U0J|!MVY$eFt6`K4+{0N<ZW|9(&<%JZ4Yp2UM}}N9vg6X<KEW|
z-H*6`95Hs}ComcEnon3Kn^?@y-)k~trQ^;bEqmu>iP3ZF=&25m^cWnc?WEF8a^~((
zl%(L@G+r)(0_!Zh?N0yL1t9@Vs_J*Qy;?VD*1$0<UJLdF#*8+UT<^%C`Vuc9S#5if
zHY_jlB2!$Llfdw1-SZ4zy3Bd?>M$G4T)^u8hTWO4HSyZ@M|sFtEG2&|lRrs{0ZBhu
zRPpmH5wibgEQr96<GE&mmIa0@=Jjws5m#`j+5XD{UE@z%`n3z1I!s+1!75`arw%`a
zbt}*`EhNow;rjq7xWAcNn^C>Z&Gyc`yfSEhhj#sSxDNSJjQtds6pL%t#?dRDIHpeC
ztMp>-JFjj7O7G<7i^ylJ1>mP@qet&A+&$B3NHQ~`WP1*cwHY$(=?W3%ytE*4nzif1
zQ>Qx#b<6zWcOg>HkP7KKw!cfL9qFkBp-kOGFlcA|lx7G=f-1{{0<TtG?Wz9;2(dRw
z%pJP)BQn4)J0fG9s%h5nQ+-0OCqKEO<2fWquD;Ee{gb47Crg{Efes6j7@6TeF^Z{7
z+pSy4T0UW;@wn*OVr=h3af~fE=EthVxYdPg`+%t$VyxNs^E;A7wq%rNVld#MXF~GK
zFw^9z02*<2-8G!*z8fw}kYBLl=4@?g@7*)gwpoXpQ-{OP6)FrR54PrZ$szmj@IFPq
zz|^fc-{-rL#YJ#x#)dZ&pFVrqrsMA}T?&(aBz4p!@Cx0pDqc$-h%ogD&K4nEWMt&}
zuf?If+mS5SeOW<DazMzUYJuN+k~(iZb4?yJ?~n}&*|Y0ZCJ^13^IPUU(bH<TpkBq-
zy+hGgX-)}<-#%kqiSyipNP6zvxx##*e(hTPV0EHwu;O$Ow)WW#dW<&%+FM(n*X@9e
zRQu`E3)j0JcPKjbnN+BK`)<PK<4#c3`l_AWakSR<i4TiXCi@}1mdu=UE@r&ElV!Q}
zkQa039v}jW-$wqRRA|?xhNkYnnswxZB%fI)9M)Of9%49ub`$K!GGgdtDJ9z6vrn3u
z+Gi{Y;q8Tt2bB%367kiAJp`Fbv1BFzIE(;G&P&;*G>TJ~QhpWz27=*$IFnTze)G>4
z-iB1=MTsN#)}$8?=^@uUpgdXK;EeXDtbPdw`lxioaIyb%7?4$7l@-PhQtXjo@kiw%
zcdzk@w9-%zAOlw(6C}cH2H$#eqZ<lKfY`D9S8$JzyTuMUvF}UlsW&s<=svjp?R%Rs
z!+J|7srat%KFXR#nb>A#BpZ^sgz-$7X9)}9^S61{l4S!+o-F#6G|PwLA*yh%p9o(P
zC<dT<;pHe&Y7^~-Y1*9*oH<xf-~1G47{T%hoW86}+h;{C6wdRnZVIPo^xgL|P$gzK
zb<ubn$rKg0sS?@<(;-p})_A*^4qe4>96e5|yKLsTrPlrK9T*fps&{}XGYdM4vX1bG
zdt>LAkx-5$<I=ZMO9xlY#`f*cuP%~-*d=lThJnVV=JU_R19Ug}D@%*8T7Xvs4B7M5
zcc8YVmdxj~@BQ+5Z**jkp{CK&6``iaN<k{!ZRd9iFxVP)Y`_baZPnXoP{~idPd79*
z)!vPpHs8Zzno9V)IoT8Iz80Nea1${e`v~&|Q@8{U<ZdkwE6y)^#;P_S@T`>2v1!w$
zGo-d~fPTScE{p`6hRED{>FMRjySdfHo$+njAjUQc*ni9zLpe!N&hi{5j5!dGe8s!b
z<iUMq6Bm<bv#oBYWL_wrIPr7k=Mn#nY7IzE{xYddOF;&q_VbGcJ03rl8)Q8MK~L|o
zr|c8CRmrR%r<*l@s|>=!RBhbH`=eKVw&FsGPElS@Pb;ELsAtuXs(#A>i&}axsgwEM
zBpd0D>9btoRZE_5_l5#W&|Tem@j}O52}I@-Bp|3vFMYW)XU@krEQ=9KnF}lb!2==_
zrFnf`ioN&>Ctw8sWoJ%4=_k+Zuh&@~)EFnJ1O?6ya3xa4c=sY@Y#oN{8MullpO$g{
z5b^e7XU66~t7-0b8V*(+I!H2TW?13zP61&9_I=Cw)FnZp{}f+^xsf8p4!CsT%BIzt
z3>YAa`~WM&eD;~yDI44>i&D)fg*g&Yn1r(`(@HPtvsNy9d;5%DB29!qzU?0|m6-em
zp%FlQ7sgshuu&O3W~a5CwEW&d>ajB|rm94!M3`t`;G5Q3^Zs=}CNe{k$MUZE4hL#H
zej?HMNY1B4P(+-#+D_NXlhd^+-%b4gmy`+De>5d<E&E*HwDA9|8{q~fR$3hY;%()S
zYX5WfvB10zcQ$t`d;!==v@7z$z?$@<m#A|=6@}}Lx=?w<2rE@*RA4g@P5{g<A(W4}
z#hEFOAh$X~y#yoEP#rmPTOos7+`q@SpWY_#z>ArG-*=!Zi7)E=7KTy`GbU~G6T^H5
z4H*)IES>h4c-nGA>cV0O@69ciT2!%)=W=lPJd4W)ZQc9Z4Dp+hWRhSKYBn%_@OzsR
z?LC$joSdK4oHAz3o6AO2<KX_CxbjXyM3K<~9i1Y-|3dv^?1y87$BpLL|FV7j{{7w|
zPK+Kys3DI=otR^U)-Z(x#{k)g{6V4T=wsNrAL?Gb6r^EYr=K)AH>z7prJ{1t6Wfc6
zO=raWwYEUNsTA0T<OsJmdrHh*zztxGJcBl#_70&YD{dDnd<27DsE|%Z2+hX1h3{4B
zey7EaJXJ1fK0M;V?M}AS`|R|-Jk;URUReL~Ne5|h(I9?AqJ@sREdn6G9ib#fA*WWH
z@@v|Mi=|r@GhsuBMydRm#$pMTj0z703*X6~SVL-m^1sDEJ8l6gBvcmL(KERIt?}fV
zwmUt4h9ZcQRl=!|?rd23#iO?$kR&9%z%pa$3N^`8D-D6!J_lA1ngKAZsCz45uh~yK
z=nd(umLgN+PU|^AXlKFFZvlq{CF{hisWwNfR3AOUKrMXg^gd;G!V(A!Z)k)Y89}h6
z=$V0(x>GIl6?py4H(~nETeu)6nX^edU?L_wAvFTh5LS0!LHhhLr7Z~*hD!;u{YBqq
zRbs6fA+qc4+ovh}=uCgpI$Kj}PsZn~n;t|JrO3WnIGHk#@)-uCfG0>=ngE$7fWo<d
z!DnROl#NAmQ>AX9^6+(^xLZ>_hucr@^K|jNB>R-X_YV!z8X=8-(U~4iC}#(oN3G?7
z34JZ(688sytHQmLdv>7zU#{>OX#_hZ0d*!zSG}Z+2)EuWH{mLzEqC}B^EVnn_!-Jb
z&(-@*WK3Kr^K(ba-CpBY&yTaMveoP%FgC6bnopzJ>#YO~=+LY(5JF=_eWN<s;+YML
zGz)I2TGjPVw@}?{viI1FkgQSroyNHht(KBlNV*p3+oPFjVK8l)n7s_wiLZDY<QJZf
zJv#&pg`jD^V^PFkN<tC#LeKHh+lPJv$q;GEf<xuHlJ%TI%`n)qVe8Bzn$m7fNwQ0=
z_wDUhYML=PbnbZq?S1R{l;WX_Y-L)Ewv}z%VPS<~h(1Wcb+W#knB0-*==eTl&5fti
zvs1r%_Kr;NDP}{QcKvi0XkeX(hv=(NN(vhTD!6qF@qpR;P@Iydes}Y%znan#sHD+F
zg6Lz+$sZj{{Nf`11gzItkK6X=Kwr!>3_^6eB{$93`_;gvSAD7Qr3ro=I$4}5JhG@^
z<=hpnc0XnM;`=9}BP+wtKzeg~{XP2jN<q7{5_X5qxwKG!Yg<Q)9}hshSG>M7vJD|w
z?@=>M*NoWWZeG+HW}0B28G+qb;08S9D2aW3sOHf=sc|<frUTxwrI&=bov9v_>#kBE
z$L1M$f1M05s%70*l~z|M{pn7H4V!9F%mgHNmgQ#;*M6Oxiv%;p6Y5Ft9>rA7&sIMs
zJ+j--1*Dn!|DZ({SC*jm{Xuv~VJA3XnlSj!kJ*EkZE42@;6%DG>|)vlW#ls6Vq?s?
zx@jFk0e=9Q+OqS>()yOlL))yc+xvEcQRGv*2hpPwO>{YjmhtRv@w~knYShF@%|r{p
z-k(5NJ-sIf8QvsweC_E4{ga!9?9EsH-D7eVYA@AHna}PU)(hJzst*KLEFT=ydv@&D
z(d%)L&pw(6M@}B#_<>a2oa~=cmSJKZh)4rruVZ+6;)xTtPDhTm$_@(XX&LVAbkZ(*
zB9ARQZ!y>IK?)%EmS!&@Ial&)zG3g=yJOq7Y2kNCk{TjpFy}Vg4;<BN;J4m-Gmo7v
zQnW)njII{gI(saUT@S}IdFNA>Y4wnWZf+03JfWm-63xlM{;47M3RnxO5fKvN;I`*e
zE-Ka$W5?N<RZYIU<Jio<R$7`=O0*Pm^71#i^Mz6XnJ%|^3ZISgyXwxKZPz<gPn7tw
z?JLL5yo|BYO4QAOTVQcNi%E@JG!37}O>7^n_Md+S%_41xNJp4kRm>txf+_#9200OP
zijJ<i*07UTsn`(3@(`N3ydMj;KAvhbEAB!4Ph(QCWOQ}9a_j}+Y!HeQcv18;!d0fy
z!IHisX6YkClifR}D#gFGPjbkNTB>$N*}W#JwPmiuoH-*F-IOE%wmSd!1;vK*UfKbd
z;caSA6N=zv?wp$WMy8gQ6>MMe+@ELZ@MRM%-dr|Ons3~r|D)Kp?SlU<Ey0wJ$&ZoM
zLN?&Fx}wL<^lObWF77I?vuElYsUe*C>U9qw1K~x5g@~i(U-Q=j9GVl>1Mu+Xtq_ga
z=B*-JQ@l;ks>8_fi6VMX`y6`Tni&$QwF7H!vV;~)$(h>tZJ@m08t?UAPiCH;wm?`G
zxMF?^i!$0_-25>sM|my!jQ#%3$&+iFBn<3M+I5|yFDIZWnyUw%xj4^SxYE`#y~6p$
z@3^P@UP=9h+(X>o8l}$RK*Iy~=Lh#Vy3Jc{6{#2+Wlp!Ij6Y?QQL@}du?M$|i23Ju
z6!}%O2*5B3D<ANVo&vDM?^zuu)7AO9{on9>nY~}zf-Q==pJR4Y#YV9#?d<HL9J_Z5
zw+w=}UP<;N+=TFDZ+;Du%M7RlBraY9YHL24aZuc1;mtv#dM#y3^u!H@b%QbKOiMl3
zBnu7`!v^fut5;w~MuuHbo)jFUzuOKOx$gRRyL`{|Ue3rJ?4w5#--%59Fze*zC7W~5
zG1{dzDfWp<_d_~{q;r3IP7m~76Jzf^GRQO0eln6S7}i68OSuCqsdIjRe>pHD^tj#k
ziKO^lxbERD=~C-D#STn`BvteY24}xF$*psDzxnj(KBPwyS6mT$KBb|PAEJ>=0?Vg^
zcGVLD9`&DeAaBDGr1*J{9u3CMdE4E6lIOQT&6csFvX1gSR(OUTJGS6h^gQ-H1=vT<
zF*WCyz`R|zDJZcc$66<gJpF6)<_rBl7T*FlA?Y5y?t|g+<Hv;)X25^}Twc>uTdOVI
z<sZ1+KU7lr-Kww1Yi4BqF`cbOaZ5w{<jElfSr}d><{O|%<9a@jV$(LZThG5Xn{!MP
zti`x1-T)P@*ML6&hhPPEF;~VxV=Sz<|Fh%jAblCLu&!c|oJp2-76S+ZN2&Jj&=lZ1
z0iPqfiKhq%d^{S+PtkkvHholNCu}S<S2d0+>@_3EM!5=GtP*aOG2L^JmGe_0B<viE
za(J$tJ&v9@QRcLG-pYs%)zmnPmoGoOM%NY15h!{0%{jq7?#&hY(WVI^zlDRVhSd&8
zA60Rd?f`Ge@PZ;u;)C&fU*hB<_2)gH0_ucM$<9v5rP|Cq|7}!UXJA8Px$X1o?gx(^
zY!y2SRu<t3B*pB7Kj?oRs=w;_gj@{{F;tO<sw!t;X|SrUNE-%tK-Sr>Uv*|f+i10x
z$j%7cbD;3Bzug;q>Qt^N&FV#T?hTg3B6}D6O1pPLDpY$34xf|))AQ{DQd8Z6nsyPu
z01%veZ{*)e)I3D#IXkbid3RQ)&vB{j?G?@0F{cWGd@l1v-(W2isb&I#WvC_RhtI{^
zHLnbS2#_K_yrr=$K{I{Jw$|yMHWt_C?ps{3d+y`n6oeXFB1>s0q?otnsx88?DR6rL
z+iXpZ?$0<ijWeFMGv1m783u3P*Uxf_-8zpiEnydQn}GwkT#YF(WIOfIwe>SIF}coo
zLKy!iWKgy=*IJ4h1XVg}U)SvOb9vym_-eo%Mh2tT*&iM4xN!B^=S{Zdvp?!}tYkIL
z!HFYKWN55`pb6CW`%|r|M~w>ZxPS1+sM~7@V&S@}Z9a}TT!AoGpalTFu^de>xPzU%
z6#UPh|0Un_%H3`wIJcS4gRAZbr$!sogiIleCdqckD}G$BcO<c6V@OXYp|2MQ7WQu8
zbXU1~E8pN=eExoqH+>$2@6YR&J-j1OVBUj!SkWS$Z(@;`sjBHennMrPFkqRp^GzQ0
z`FmF=mKv5cn<rR{NxiggCK!}Ka7EF^Qw&JcO({A39`JnA-3}}j7Tu6_ezTKp8XooE
zp~e6aDwN4i2W8DHTGlvtx74n+vr`l{lgyMmdif2T^?Jl~@0S0*b!<{dSlCiv5-~W3
ze&WNIFF}afsqrb&nA6@TE>X3@Ww{0sdKFaon^zV+Vk9ux_jC>sU+ckjoY5|DSY~kW
zaPtw+*kk9;tnnvM`%5a<*xCeTKapzRo&nEu7CtdvR9)M3YO=hvv~*rA;cbtqnI7jF
z;SaDrgMNbfN@`2XnoRhlT(>;=or3#C7(_9Q*{}oMbsU)AoWp(gA3J!518q*G_gGq}
zs9KK&?Q5D|%T8m!0I`}HJ%Z(5Dc<|}9=UWxQrG+I>!iDM%&$Ex`Zn+(G4`h7&)1m6
zibi@>)0lTBG9AT4Cb%PE&jf7&=0zFp{Wy8Hy5@_Q{>nlvJ9y?%G23L!AM@dd0I)yG
z*N$)F<mYFjX&V$8dHApiZ4+1R_VO~N9Ru&~I^mRkFXNIHjSA<Fa9?F-`)*y_UQ$wo
z7^eQ}VPvQ~*mUq&V_86&-Yk~@<q>4k2|k+~CDbTuzAPm5NnH6SnNI)Dr+;zJN%JTx
zZl3?4!*AY1lb>AfErwSL<5z?^>(S_BikZ8!@Xeurn3&txw}*@rCD!4{$aQ~yIFcTD
z{+`*rJt(J+>22O=XuOMZQ-l$13`34^oQspI+cstXFl0DD4;=f$4!Tv1<~scK{Z&so
z3hzHZ%rQ6;0jjQ{@p;&a4*GIpe8N}1mPlDr4DelH+&BB~kjd2`A*4!dH4w&x=i`uj
znP&_uN9HiT)Mxg$k#AnV79%96G%@hyJl{(E>4#HC`kLxruW0cl+p#o!!K`E(21^D*
zqppl-?Lin9w{b|qu!d{<;Q?uM#1t&im@y@WjIo`VAn>kN+r8^cWH6)~R@A}53iw|L
z<}wi{iiDm|uQGac#&eyOBnlZC8PfmbCLCtD_4`fcS$0WEv3&F9jamGh4}9{x_3J4?
zKhUG%{P-2Un2$9#%RRxaHksCu7}*WqUj|9sR*C7?s;%WIOl`aXLZq>9FJPY0eO50K
zbh(pmo}@D6ZLIrHzfL^B4R(s-eFtQ`a?zt()CVm3#>g%$hfFnG0$?qRof2g5!&at-
zJG+DOa~a^dAEc!f!jaNr^8*5^$f2C}y-$%)fS~^OtvJlOWJ-rk>iI%I4|Im?jp?&J
zf1iDi`xIUom*gVsSfc&qnym#0xK_4?;3KNZa~lf=2y?;w!DZoo$~iF;axq&31_oY#
z_AF!Skl+B0ccfn;Y8SG10^tT=@40<O|L0N^)X0BRM{@ggEzAyZx_kTG{40u7)$Hx7
z9^#`4sXa!CXPSqqkS&4+k0hMR`PCm?xZIf#fC2@<_P7w+Bp08n!?M2~Y8j}lU}giM
z-xn`hVKj%iRq68=bMcC33NA1@b(>XJ1c8e3#v-f>Hfm+dj&g2bqy46MD-fT9+85$p
zCEI`4vjE1&h~zD-!`%R0Alw@t1$!_iNWi|(&<=I;e=|XrP8vj^$Nh2L!n=n1O-b5}
zw~F}!LNBw7hMxT+SW8Be@2@&?1zHpIeIa4#N!IdKW50J&t+;V$F-oD(%QL*Y;R*xn
z!AyRK=PQ!CL@Yhm=J1-swDW?M405xr-!MF2+7u=-MOWCJ9fysH%6A<hs}Er8lkHOb
z0POi{#dhxcZv+QSmQ%__Yp8qS3V|mGSyj>`;5#n%TL@;s=S6riD<#=BMNy2G@u&k;
z7E)o--vfth9vEl4u-vD9>EKai)`Cl(<Fz*D@9(~xo#Huj@rNT(r}7V(EX@2+%yiZ}
zn*-0;TGFZCf^P_(yp%`wFEa0Iu?t;~KuO^uB3LRH!$dM2N0h^qg}BltFhLggpk}x4
znSa6|?QlTf2XI_YXcfW~fHY<b99d%=$veqd_GkDiw^bm_y>$Ctiw=oD*PUew-;<U%
zZVIv&7W_!(+tT#(VuYD6Djj=u<mFoCc%sCW^X{~3OKJGgs5>CK!T&xuEES#(jHKk~
zHT$EMWk33Uy~L;ku$vP_n(N_dc{=eJj~jx6LjrwHH>c=3S`09Rw>zxsd--Iizli#2
zR%fJ0eg(_gM|Z87?a_ABvm4J92FWwtGY?Z<@RAaEHrz$}FwSHs0Jnsj4B}coZsMp&
zwS{s*edNe)`UP^oe%*MC73v1Pn(WL81)-?t&9$^yg~ZjcLk1zl;?*sGyR?;ZMsavy
z+W15~mXwn&%r{dTyrt>dNRSn7+FZ=lV_xk<P$2xU4r=C;h^oJJU`X}1f!p;uw3}w*
z-d{)@IjBOG?B{zk_zs+&ssONT`r!TR5YMV~SOg|Ki9bSmluoZ++hz@c1EXrbXRoNC
z&8G&VQXW2B<R$aZDHKrp9;JMCmGKi~8bE4o;nZdk@-CPLxK=u$*~^dU3W=!TZ0g_d
zQX1p1mYWN?l<l*{6Z9b3=UiCdabMw}OBL<C8>QRd0V&E@{^Yny>Zd!mZwm^8QWd8v
z<s*dyHNis81EYJ{1o>~B=)d3OM$&;sKkFe>Jz$Z;N<6S=%%!@Z_F2j+t}1`me~Pyl
zfB+q_4gUfZ&T%d*V2}kFr|L1BF$>KI$aL$gC#*Y~WQL&Jg?qW3Y9DSXA7piNY$?#X
z82v$+u&(OulrBoT51<iNl%(|s*`#M;Hm5)0T)U3NvB&zg@7xkq9$c9^`ov!KLU;EM
zECDfXlvBvHPKwH9DQI*v9j|cYQVilxo5zFOeeIf%M4&YiDOEt)ndgS#6~N8&?)!If
zlTPq#9P_L9u3v@2UtV<EM!761DtzG%_Re^X1#nKmnY<u-A`V{h$MdiR|BZa&3r=?d
zKTu91Pf)0z`xa=L3<xXaGMtdx!)M)yvQm;@o#Gwb1I$rdS)@f;uQ?wSn4}X|%;e3#
znLaE=+h+bAuP=A_ciEoF(jASzyjC3EVga)?!K-EvIg^X%;-IBm#}?CI3&@NVCn~<h
zL<VsZ^1;O51OSRH_3t}e-thfYL|6DDF5tU(A_S3&(B|=luGW5QPDOo=t2g`Z$ARil
z5ja>~J;OOyh76sDJ)L}RP`MM-8b_LkNUY@VSc<o}%P4H)=>DX(97H9?Nhrd(A*Xbs
zQd>~CiWxzm>-?mU#B+t5BaDtDwP}=Nq6oqozoU_KvQ2v(uWVHP)qhX<XT{5&-|vB_
zipkcTFh#Dm3WZXmMZKPE<IFe-melg6@g1oa<I$!=Og}?{c4v=Ly62-~3@KuJCjxG4
z-<dt=(Y-FaP2;|9-gPpxFCfwlG3D<=i1rv=;QfdEP2ld`@l?|M5#*gbWT^;BgtSwJ
z-tXbi5_+M*md76O?e+P%c%uh06@7FEj7D+@V0?0vxGzNB1!vaU`s(-cE1qbm)C{y%
z5nbm86iUl(-3fhNS0gd?<Qjj|Hc0Cvg&Y3z#_!@gz#Tuj*t%%7m~6If*B&Ot_9{%*
z25WR-8UCBMx#sOrN|cJo^C{NJXzK=uvzJh&$oUpjC?>dcyP8UA6wZr6-yrPpVg_^F
zSL4W0F7Ev~!}e1;inMF$M4~9-sBeD#cy;K!waeaXG9UBa-$I@1Fj~jA>HEchI)V<)
zBnxvXf8hIz<OOl*kWnoRs8=_gT{`JK(<X$>05LSoG;{LYj!DUre<czG#29AMF#tt=
z&04jM?BFv<1w;m<X|my|6S6Q#k-cNBvCgh|aZ2r@+p0}9<sG@JJmTKI&d$z`WTx=G
zQ6H06yWA-rc0^=`6Zdk1kqX3}qhc$YZ10Q=@dihOxTxFnWh+h>SGLqCKeSH2{`vpf
z;fanq_R2Frc`Y6*f{PzP{Szl8DI{7XwrBNJ2$t)4i=$p(EUc!FEMaj=iW<FPRCq*0
zF3gA+ltBeWy!sKUcA-bo<#WQ%wn=KY1G-BLQ9$-3@&r8+h7TDsqf7)HqAfc(XZ*I-
zedII&-4-0nZZa{SF<m8MU{Q&2WJE&bB-i3Jb27z1e<TPb4Y5m!)IpN+?24t*IkQ*C
zYbTNb8-}v_0U!?J+C>gI?+f5J=4%662N%+AG0AJnl<d~;UGhAq4z_PP5^IolA|%$@
z8mz+nhQk7bYn<&Y+^%GHLH0hh)cbpz2l)K#=JD23+IerNyv~%4yMh4Xd#_-sEAok0
zx^)yKB5fOX(}W5+kTedeJCy!Gg3_0e5UnzG)*{T*P<*Bt^2Z>*$sG~ic1|c^U<3aA
z<huC32!=jN8`iBGvY~W7Wm=?j2T#<5?~cUXy7XmTyA@KKZNfUo&Nmv-m~sNKEv}r9
zM3ZB0^^G-MZeq%Z<1(1C1Tanf$~Igz;^g$dJVD3^MbL?mXRzut?bF1e&CcU=+)cbN
zGlaIzA8tHkzpBj|Y1@@sUFO!sci0;xnQjnX|JF#ltHI#?WV67kp~jeT;=uqCP0(L+
zZwNCkBl<wJ;=T4S;O6Q%-04Qv>i)&27j#aly(&C3v^K(w0fI~_9-w!qvNQ@A%mjPL
zqFzU7-%Ho$(kF9o9H3$<3M81T?j8zPDzeq@NXet0;s4(GFH|7(wcrV1bOlaA1xo1@
z*maAU5K-|9cvoG@?ObN@B`y?Qe_)+GHr`tQLtp95JAcJ>I8``^#^fP~b*+!`r=6TG
zAq$-L?K^tAe8&DUU4uCa#ZY<#A7ZXLB}+VRIH*b2cxQ3P@mp~iEYVW1O6@YCu*1rE
zkDJV<jTqf-f$`LL?Kb^x(?4=I%q!rem@&l!BBqzbzzPXmnU_K&S)%YA9vNreUBeMV
zj*}rSC9xojNie!;Htye^kK`^fhT-Ct<)&H0wS$-edV&=MvxEjEmV$2PvB{A@_w6dj
z&E$d;irONd0lWn|f&*+PMx$6#m99mFB)J<KEfx1WB$j+rQW%%feK@3tT}#JuB3AI8
zXNf2Feu-Vbey8Tx8#f*L5A7J>{UflGeoeii!ORJDl_eF4b2Dmu20jSk1(vP58=`35
zSKuF09qSt4K!ulyOpUP~#&o`P0~k<vbZF3V)NoqLA2F34+h?1(QQf#?!{b}lg@)|x
zdCkN(d+(BE$ohrqmnA9IgR844Pzc2DWUrd-P`(R+sl+A|;IW|!cg0SMkalO#r9TYY
zN&bl_&-rR1nS{yD(7H4oCwcW8-irxIaB%3u!(T+V9OaSjc;!xjl<Wk8l$Q<&WzsU8
zgeViZQ6Y`@pmL-{F&uuVyONS68VbT8)Og_BS?54Pm}X;ISxou7S3xW33e%2aF0Qc*
zRyKNas^@`%#F&KGfUjwlK_6{3s2xPeWy!=mt7Mz?pPzTjn)!$)_SRt_hmdIIP+rT)
z$;A$_*lU^~W@%V;*fC+^wA$5`M=v%9Zrb|m<+}3TE1tiy7qR^a=%&7@z6wzx%vzMX
zIjY;eU@EvRuM;N0NVVJZa=^^q(;tC-$uWkTH504Y-*fF+k?9Q#@iBUQGvBM4PEN=i
z8|FT0cai54HIe}%V;V-0nkHmDh(8`POCwb>sB|MHzU3v?rdS?pJih8_N7r%I9o)U%
zS9IR;XYcLlvu-`vIyS|=r)HjL^2ES%F3`;@GiUtEuMyL|@HC-1T^_7KR>;{iXRhlh
zx4HLR<@}e<pAu?wtp0y9{pZhsN9U$%Yv0|qvM@=XPKu5GXkKX~D*90b&mVOycE11V
z;ykN_goJg3om0~oal}yB`Cpb!X77lzfq$6&%uFQ83V;xV+x3DRGKyRZ9oXr9^!*HC
z=!?qG{6jW340}mf>p7(rCdPUx0kxop3&x*1_4~=k@v5K8GhBNAm0x{H#oY3aq4Axa
z=*YEWURIO0b#`URaFT)khAo+GW1}Dv2>{F}+2)Vl$dQ0&!1!@U&n5ZmtukBWHOn23
zww=0R@arsT%OA_1wr%-wO91SIo<e&(<!}Vue>*YTqa<yK%aY{_tUaudH+g%DL7nWF
zP2>jhPWr@%8Jv2})$ITPz3%UFq8|bw6+!qy=@Pp@jr=%O?l0B1Z{H%0LPyc=VQDG>
zTa?ElbOvVJJMomGVfpNYyosLl{O7A4hcB7Z{eWXmL#d46YH7{t3GFhYlI-su^Co3y
zq!`3JdD9uY5-=%j$qN@P`uXVKq4~oTIaDd{WvteOE?u_lM0$Dw*q)%U&NmzQ`nn;u
zvn{Q%I_f!a%r~_w8^7N!EL0#A<Jz??*L*vqrltZ<WL0jA0I8zt8jYP4Dr0HDs1YOb
z#$U=jd-le&XR~WXD747Q?bC6;n2ak1XVTbH?lNPk<(<7rOAv7^oA(Tu+;P*+a}^qA
zG-F4U$8|XDFtuu=^b_r$dS7q8_Ntwm?V5lO!hOuy7B6ig^Tw_$E<8Pk{LX)ag`V6X
z3w;Rvu~p`{^IzLNZQg7nvCuUwP2=hhQ~y#&yP-}N_(Sp^Jt|hHEf+i)oXMnD8(*#O
z-KUQ*V?eY8DNEB>E&q5+$FGV?bHu1oV$KnVC;!{F7YZbhY;nMXC7(F4c&m=3k_si_
zBGenzUV3Yj4z=FUj=AyG<nxsFw$mr(FZ(m{<F4dyZ}$JOtJ7nfOii%<IB}z>5$P)>
zDys}E+8P1ql!o=1ad6fUn>RbR#VKAsJkk5{xejw){j8~+)xLATJc{eQ2M;*0dLCZ6
zY{~M#@VNJr?ve+n+w?8tqC^ITJV>032&u?)wM`4CK+3}e9dq?i(fkoJ4tu?mCK9>N
z-J3T9u#N~39cnWFxVS|@b(X{g9M-U|OHr2I-AiX*`6{V<!>84B{oKYzqE}Q>ihWzx
zaqTOLzrD@a#Xei<>*%(*OXZg@xaMb)aCqg<x2=t-nO#4R+14wzva$0QiPH-*6agwA
zXk}InN_C5|BLpulZXk8GRExQFvQ35rsiBaPeX`oYk&;0J?~U~v=s0rE@Yr@3B8F`g
zxeMzEDeCWkws-uXQ>|`pyH4F|^TVsuwx{CqpbNgEJsLZw*k~fQ>QcPnWry`qAv5A^
zyAIm$`}Ca5V3cy^uQc3N4b3a1+b7U#N6q_wF<MA-;B}rf>#Fzm1@00vd1nu68YxDu
z5pdTwbdo~9$8A6N)%Ol=)a}#f1m7j-OYhUI4a-u~lT&ke+7Dl!T~sz*{@Jrxp8Zcb
zPW`j7U!{Iom*(G1Rg{5?mn@05{kh#xML()kroqYP^qg=?iM1Tz0ufr)p>L33O>w_v
z3l~mxbv<>*^46_eB0vqmWhoL)j+WrI(Sard6ow>;Db;=pF8Lof>iSq)*+1`5fJal&
zJc)4;t$%8Fe!u=8c-Xv)uAUE%M(iA)Ub@_IUykS3aT+dCp)Xf>Hcuk{aaDuV+l|?b
zPD`^(r1B%y+2MG$A{o=f%NQryh?#9DPfZ}7(H|~hGayYo%tw7pFD8HGQ<EW?Ftwiw
zjFX<tj82~`xB708j$vl&Z?EUJ+xm2Valv<2aX_+8{->9}KTM|CNMBqU>-y}<+P02e
z<cAo1T`(viUd&!x>1k?FRbt<2P-RauB?h4&zbo~r?M#C~vLE^+6MW-u@BM6ket3-6
zsHdYYSXs)ZW~gs`_o7|>>6D3nov-I96fJwRHfMtvg1p@GA*9S8`Jm#K-@m@hPRq)Q
zYdrm`)%~!nS@uDb`v;ai`}EKuhN(anJ_h-}x7cbZkP}=68c&Zd(m_C|G4;6COd$=R
z^-1>Rz`z4zjASaeytvxit9Rd|BqQ4+Hm59x7B?AJtM5N?>eap`KQ;fJx9I`%9^F$J
zJJv``zmz)X$D7*ew&@8I<Fb-$PKOnq>ZfjTtgy10O}2GrSdL$Q-5Q{tLK`E#?|^C3
zrioNzI>35R))&`&ubj00xp)auu_Z3cre)hnDGg1!er@#+?Y@svvB7ROemzEeK}$r*
zN%PW~xJG~OPn08h$NFWyWqI(rAvR%;j_P{sWN3~=*McucddtbpIiBsru}ktr0^1)&
z0Hwxt03NZbsQJriM5WT|eUpTgr{un@%U`?71}#0w9?xHFi!5rDxZLmCO4ZRB<>kq<
z9UT8qwwQR<o&WL7`$PGRB?&`sT<i6{bAq)^-MsGaDiVJtG@CHpd#svNZqDPTOmQVM
zT%5ctp;^PjUC;OwE^1Afm?(n*-MWQe9kSl)P-JBOj@q79HYtC84Ek+pE&u-UbkCxg
z<c2Fb=?=0%^LGIR_SobIhm20lBq6G0TZ7n%gWUUjMyy=7*ThPv@b3L*Dc5(MHi#4E
z#U5+_r1d04E%(Z}%GbFR$DoV|7d}!Fh}<FsF#@pxECE3q{@e5IGQtOTEUd7q{=HB6
zdQksL*W0i6<(d!Mdmuev*WHH_>15zqHXj+Ex4y1M!T#?gS}o<@p1UviO1xx~ZfR<5
zoi^-!OAuA2byk-Z$wU6JIEU;sBd|4w!Xb?E{<WNpga=$>kML~*h1_PQ5W89N(y-=%
zLSj<BbGp?mS-0#X74M#yuXSzyQ8mc=!0)>1>PvGMj^77l=4rV!LZ)liJrYK{P}U($
zHCW*^zSVi4Thiyi2UGtZpChN^k!~~ind^Y!o#5q*D37U7g>#d-Usy&ci1!Pq?fv_>
z%sYvJd5IQr%eMV<mn=!C-6>;W+%?Mc(dLf^Y1`u0XGxUGWt=-FATQe#n>eh)@E*sn
zx6x8oZWCmi)jH##LWh-;4wy<&y)+Ei05OABV@2uZ9^}4JZ7DWAC2D~Hx3zF!=xPw3
zCxSjRs1yuCpWzn4zM+32`-SSKHV>O5>)_iqp?38s?E@EbEkh#q@<Jel4OA-{UuSQ=
zc>QfUgj?mIqfe_8hbr`uT{*}-S|X>XPPS9@*P`5;H;)^7=ZI-a<Oq?^mIn-hv{Gax
zVW;0mt44P8A7`gB-@9LbINI2alUftE%;i+Ar&h&muN7{_)4iikM(JpS5E_E$f1h`e
z&6~-ugbRpIObGDY(d<^(KDkqbZG(ipG-^nI!$f>76P~}qBj})#?UX)0%YXwAZz&9|
zvx`eEG(7~B&7Z}JwH1bj=TAN^ReX3WHFns^OT8vs>rArJvF3B5ioBGPXRPUea?}X5
zK|^<=-k7}WB}0D^4cq;(i!kZMEKR7df{Xf_tk#auoVI^sn!R$?^TVpW`YI@FkBBIm
zlnAyb&+J=v)AF}hbvSsIazzOw4H<IzkSaNZHR;wqR#tN26VtGW#*ahWr|{M3EGDCx
zIJlbLXgO(fvr2E;!@*X!bgG(GFEk;G0(>!QSFT>wEhz3RpN3JqOp#Ot;duxGQvlW%
zW#lOw#%}4$V6+E$k}h`bm$;O#S?O@@@>&h0_>)V8qxnv2qOjLdW0<#ope7nc(i{Q>
zGwetnnP-(zfrx2SD~NVOgAhkMl3S_P6er(LKHy&A@ptXgquWGwirR4RRcTAqBtfkw
zp0?s4(@==OR#DM&YOPqZ9=18nLzn{!TOU8${O6@ZeTiPTPUeBT!yc8`3p*?I2H-zu
z`!iY?)C`8exaWUt3K!HkLJ!Cv8E{p;PSBn`6%cIBZ;u9=jMP|fm6-o($mft{v)Z33
zvino8yZ-C*=`q`?^kllom&$3+;+Fn0e;4Tt6(G;z=6>j>R!j1i=+0T~Z=VF+A4ods
z(0kW5X9wgxypy9)mVNc=m>K1M!h#`&>!K8<yNx8x8g(`SG)Hwj$ZDOP_R5ye%h0<q
z_M@>?iLQw<h!Fp>^6~=}XO%`fR0QQOvC16$I$P2}*Zh8|VOw!Mn*0C$)3g`;FQ*#p
z6DpCuRQ^N(=JFN^iG4rMJQvwu+Rs;<gEn*LzHB)1$JR5>N;hfLQ?H*Nb}Vi7YrF?N
z$v7fi)H2S{T+#vl%*a5I@{T_<>e@xWiz7?FCff+`mO~tLkQ5oGp!lvnfzkn1)y?f6
z|2DhycUjAy=Ja4ceL45+uCNR^-^0-|;8cW>9jv8g_Ut`@6cbCTvX_3WdU0Z7QHS%@
z=^F$0=#SW2@kNVQ^8v^L?a(RDCaZ#5G=631I(Hm9f`)`hm~O1%T+EOJt{|ts?QdZi
ze^_B+5_5k}H!9_Kl(N4zuCe(|jLul^uX<|l3zF^5svvU7ou}7Rax3Q{kpf}(EZ9~h
z%zspn*+SC37+cFkB-F89%SH+2zUy)4ZY}Gkq}EsHoPARLu6_TB>o+BSoW+dcr8RG`
z53)o`njhilX2}W#0jh#Vi{on`l|6iKbtY*NFd1&(9F%vc>E+}V-LzioF2o=7<XMUO
zXyapp^za|uZEQ%lo?LzX`r|-+c&<K!D|7|KFG$iAEApWoOD{VCv@N635-Jq*$IHEQ
zKGml(RO9Dtr=%bAt1mbvR5rZQXtQVa`)}V)_tv{R9afFz>k_Yz?#>z2VAM0%d4b1r
zFbOP4HLtOts#tFZdBl8JY;tF?edBeDFW%5>IAqP@Y1eC|WqhI^KiSsatwwKfquS(a
zp$Q2eC;bruAz}-}ONV$Y^<E@?2}?zc>Yz(-Ufr_6!hQMjB=3;olQmb8J4!X!uf8gC
z;=FD0eBY1!#J^E#m<|BuTz&K^66(lHG(@%s;JV^X&ID$CL;a0d^?U@tpv{DN%&e)2
zf2{AwlqW!tqy@Vwj$Dx}U$C_GPfW6n$p@#|iN=W+0|ZAUWCe8jxumg>OL=!v=R!dn
zLP_5em=)p3y$PEm^(?A%JSfJlCO@MQBQ&pGy{-4XOP#SwxR6wurzCT)qAEG=RUbWN
z^Fg|%Yn~4LYUKQ}TvsCM0PsnSUJf;F)oXVd(8c2Dgd3#HOb3-0&iP}1SLyXY5}5h5
z@W!N*?_^f&o+*29gURmP{Ny|HUVWx|MJ^1>Zpz!#0RWmLaR%mI<jsh&Bp7r>sxbR?
z?4QRkUd(-SWz>`&_sXw%Hy?~{2(NBGP-`2Q@rpZu%oTuJBG#028=8+B$ni_P0tLs#
z@hH;dgy54Bu6E`qto*l0(V(_K(k(O!fLYIwu4#t$8F%|l?Qj`4yKgd=56$>VDugu-
zyoY8hAcDCmmw*)Fc@PpKbEk@a?w`WIejr%&s*y-MMf~$naWw`-hViOR8e)+;+^W}+
zmLO$ivrXo8cA=$F`<c7(f>>=<oVYD`134KxzTsy_=>VrDi=p?QqhzwvzZlO&Fqx9=
z+Y5pUm)@|nM?rxHl#N`w7oW4$THV1o_S?wg@3z&dKJPlb-$M9bA%|#O+St$_!qr6N
zIs(4PDmluRa@q%V5HT3^*&x;;9f8REiSH_#$Jz{EFmh{oxy8M&NxgK}Yk=)X9ovS+
zMhuH!vgJoVt;1Oi6U{>)BD^3>045uALdn~7jvB;&qr7UCkkf3Hv>-ug^gmffaD+xq
zOSknQKO^H4uBWFgFHIYUTk*-ShgTttn3MP*YHWzG*UWp-z%Y5Cc?O6?Qh$OG>;i~f
zxbXVRy07`?H}3r87_wUR`Wvl0CGQb+yM`c$t`#xtr8$;3c32`pLEtrRLWjD8Z#m6H
z$Rf3D)V0XgZ-2q2g}wPRgF~Qh@-z3}NX&yw5mVZIMyj+H?~)oQZ4%aO(8HrUSip7Y
z*RfMJ;s6rnaSrsn@k&evI!KBkN~gAT-DCbCvkiau=t&2gP5=BSd&8?-FC6X`Rj5_2
z-9UH-(ITW4oZ=d@Pj(W(DuH-;<LevgRKx*_-Bbif;i(d`BKQJ)3IYRrc8_D`CAs!s
z%`!uzwN+HCm1&~{wTu{ED*LXheZ=9u0Wuapwtrq*m$MZqm&nEjXqbwZ|NKF7^fs_P
zHN0UD7H8`h^%?P2Cnx*pT>k9R`b4`(O36<QJY#{2QUaRZXQk&EW!#%0P?Qavd-tyK
z{tSe~J30A9>kMs}rMTGV9tWURoU@Tl=*yIgb3%eE)T-Cno5jQ~7~=Lgwk@bf1z-G0
zd0da}|AwrKta5nSzjj@1)~{bwJ%)oMDm1cp^(%)wD_JG81ZyGUrL+;sH56Eny<JqX
z`{B}XC)E>ZHnH37VkFBPdAz`|Fb9*3J_g*ci$nWNw(Kc)dCTly{zIB|F8wHKP6YR$
zI};P^0U%FV`7VN?dCr$%Q=#jbs=B-L)IaZC*L^>(EWNf^N+sZ(_KP04kI6R3<B8_7
zDH<LPpRs_r1Hp>}MP@M)9ch>U%Ux(Q2;}Mr<tZA#50ys)^KuNs112KyggEu;qqyVv
zpXbN(cTUb~H-0`tv?K(a2=$M8?a5Bg$#dt<3F$7unbv=FP8Xej*S$4JrEkMex5Cp_
zVP8wqRx}nI-2VBLX@bhIVdkSxPRRdQfKKAYc^BDJx}{sax*3|38V=OC5D~NVp~zTJ
zYs`Wd&%C$AXR_zlBK0RX+sEDVKQ7g-#A0EuPX+B_nvin?3;mUUvi<&-Jc=c=2fOr^
z@(hhA6k;8nJdZ71l>f+Z%lgsgu0`)|Hq`o0OnP>qYVDTt2mRYPUf%HWk*bq|Z_YED
zmx{sHJFNXEjhInr;W6MHc-}?d;)d~zhBIVm-2g&qS2xaP+s@AU!<{<E`L^ElbQ3&K
zLA%`pboQk>T<EB!$%VJ<Rak%N==Lks2S;tQ-dbL>sQi7wCBLcxFj=#2&xxNyp7N|K
zs~vATcc1mE{=!<XX)}K26@0sK*1+q>=FKa!YpfK|h8VQA{EgF}N9nal;!1}BYnvwH
zTY{K!J~=K>;RsiK^{cpB#IM$F2)PwtwM6xA?f75Ls+*dtMa=)-l2txGKS*U(77l#&
zw7qTOjUAhBgms$ky;`qbW8Ft0TUw(+8EVt&r=XM6&U4+=bnP5N+n0*AN3>;&<!2|q
zi|erOiv8!8S)<i0`n8snz7v+&H&?nYD~K^({!6FOZNb|2hR#Euu2kQ9txLu2pJg%I
z-&O9KiW2qVybI-??tOxbv#;BQ3`?}~D=)E}b?v;`_%*L%eH!HDIt=$01l!^}od$KO
zlXF<_XYc+YW{Jzq@3rqX9}?N-pzbYS#|0~he0awzo_GJ=@w5q@Wbpl@RN}hZca=RR
zg;_l9`{<a?v@08ozD;tJCX4^`%hbLvPTFa_`ek>2#>ZW;0qVz0rnJV}hA1ALw0WFm
z=PAGjT|=CuJlp&;X_h#3AJ8r6-dWwk<<bXTN{=;<dipMR_7ck}vvQ3_yH(m?d1-9D
zFenBk0))uij19xAWmg^;dn8HgPRsCol_VTN^<Ju-tK+Vk>ui~{)*pRJbIx;(<NfJZ
zeWomt{!x-PF!|edtBkYWJw8@x<p!?`ls0HAl(k*nCi=?yMWt`EThmi_cIh|a`lX+x
z;c@a-h0EjL-W)x$we()J@>Ew9NnOJqUw6!p%q{p@Jd)vCt>gO|$qYu5FStl3t0l!3
zG@_%DCYgNx>lR|25HLQxGE23(Eeewlf3|giK$dnlH4^Hat=l@(3f+H~y4dNeXU=(D
z+32>ky=0Th=E|T^gOB1v69a?KDw`1rWuVa(k<bp<z>ee;$oeZkd)Bku<-25-xtjjn
z2c~T#gA7#&4sc{wZ<sOvoC(FY@#o^~D`+Dmr#>E;AzwZ&LegvQB>j_#+HC?{zC67t
z%JK5@^413y;mzRpH>qE@S6W!OmhQVJ8U6HQVT;}6qsrl?Qd5&0FQ%;}zezvA`mg$i
zox66)V$AOLt8-_mseAkOmaTE`A?cMB9Ps+NO&dwaDN`1~=!!`YE#3PXoxk<wjpK6W
zJNi2qSv?-9oqBB2X*a3lv}0|gi$C7$h&!hn?IZss)B3g}@cH*o{gsP~x|bJUsI1!I
zwIcNU_etv&z&?J*Jl9ZBsj0I57I8UeKav9q*(@$<92x{CE+o*GYXQ?pyul9n&$H)9
zTxHNXw`Eyb*)4k3z4t$IsR_#u09IZ4r};q#`u!(&U^o=!rH;V*C^%<Pb0FxO&bjzD
zMB)I7J~8o!-@?k_kcTl47Sn%_+wv#-Ov|&C5tSe)_VMw7{wM3I!~dc>LKKI+4be@Y
z9~7y7+1VuKB6F3c-GPI&#3z_MKTED*D?40CL9I_A!;Sy@t9iUa&b0;HX#f5y*E8-^
z`G5XKSK@Z8#sB#is#E`;{}(MzeXB<@lY>$dsOcwWE97F#cDzgC2qL8?@iV%|KW)|B
zV!;3p#5;oGMGeU$3PHoYco8WYn#GH2osMW6SEHt(hkjR9Ca?nVU^@N(t%V(Naqs=y
zR6x3bB;O-kgAzu?0w!-w1tiu2U100V?ndVa>FO>Ry^;CTs?rkh___QFtVE04-2OTp
z!EXy5-ivq(r1gdfo~S-W-lVX%y;v55y{l#AXd}ZGN6B!N6IL4A8J8ywb*0cofA}F;
znCos>$cM2&W$CCTlre(N#nutJH$41j%=6x)1`-=K9V$w`O&m!e0b~bRrPvJ<;hqx8
zP(5*UP&cWF{_VIjzMBE%xYX1(+e!J6rI=L27BG+;o0UJRxWq|xNNT-(2bF?wiw1;-
zhPIKW+6{mt5F!x~YahT<Y!gSfbd&CAaFWfb*4q~00jyyKzR+OW3R!;$`{4k=vy*I7
z4hr4>!>d3DdLrn#H7Haw!jzdjIaWDad>_si?yWc~M>>ja#EYu835br4KEu$Efy0J<
z*E>sSRBJm}x0`<Q=3Cy0=9%W#9WYqLxw5%MxDZb>YB4t)(F|pv+{FI&V4vZ2-;<G1
z+Zyt}@F(Ci!E=$VCUQ-|;W+!o+*KPih)_6BT0MOLB!p;UUOHc)HRt&d>k(*Sgt`K9
zShx@9&y47(Nk)3okGG5{PfWE#@H8;ORCGNQ%JqI3wbbySItOqX;E*vv>B!8LKJE>z
z<D`Ij1nfd}c$3K{w4mpxHt!wMZf#wfXwm|UNW=U9dC_)gYLN<0$$j@<Bt2uz6hXrU
z%*Es;y67bcC8=(>w|Xlo-oX*D*26=HX+);Tgh`Wf#%{zzfyhV%hQXzuL|X`rCTN`2
zo_$$qdfm2NRuKyxH4tGx3+bhSq!O=t1Ox;KpDzd6QC;6C<R`5u<75IvRQ+5`(Ui-}
zpqx1hKW@gwN3W*J6}yY*K3LAkKhAxtW~&1t@MC4fk)tsC{5HF3Uf1H+NL3cXJc!xt
zyjt|Bb?L9X82H(~OFuCs1AD_=F*4gjNFvdWlZ=h>HI&x*@7E2%<$FvMoH6N(5qq?$
zBUrBzPSq%Pg_0ZiB#~|eA=kImp0EAd(P!gd*rhBj?6Qa&&RqAvM1y%jjlmfed|>g2
zT2E0uwU!3zI}YS*jRji}HVSTFRFJ3YvV>0U$atX~<>mHg^ZiYKkp;lX=gwt|d_hth
z_sF-tdLVBio;veCyxgF?bQ-CBBuNR~FlWP=ix*28=l>hcxCm}Xe0(;{Z>N7t<owE#
zFnZe&Jh+Q?pJYA&HwlHa|I0tfhg;ONjLt7Yx;@nC+EL<L>BtieqQ4R_4R|OJW01qv
zeLGxZgyN3fdD`)cB9}*M!9(P@NP0+HJ|d*JC^7vWT67C<U2{7&O^)fLbXMeMIpgv&
z@~)>@8ihbj<bwVB)og!Zh&Y{iOJ4|$7EH-g<P)zK0uZuvsvnLoJ#c1+%FA;E0AQPV
z#8yA=(5*!s=of*M$d06COk(W>z2bB<MS#FQSwy?G1K+inJWR_LPvRC);umkbDLe^-
zX@1Ov!0Eet-JqTg8FPn>$GIpQc<L2MiH0tcEfP!yAiu~if!&hv-GUUZySjy#V}{aU
zWRYR{3H?r$H3QYujAsArAulhc_p;iTvV{emn^*Q})d|kgPMikpvh-w!^JmUz{MrP^
zAS5{WlLa6E)J@!k7|7=6_(tVb7V2y<KN1NV%7c@<axp`L8zm@ZW2*#6C#YiC_wS*|
z)scipbtprZWM95c^xV+@gw7#Y7g=cHbaObrTpvV0cFF?Gi#*GBoPSupg<@DN5%9mv
zm+lWkSVbaM;qu0+FvdtxUKjaj-`@2jXB+Y|j*kydP8g%86J9u8)pMR%cz}mhj){;`
z^00(Pm&kx5$1CH6BJRbDtj8Y4D4xXc<2R73NW^h2EFQ<$I6zK~eW9^w%1YpcC}G4n
zD<sA%PI&>~I+m~FXfV4SJG`fgs_NWpJ~}Kjk?-Z|8l0Lsj59%mIbmn&F)4{L$ckN+
zbmRG9zEL;Cn?L~^fbSAxwmfw`@|^>N;Z;%8R?Gwy^Fk~w_izvO*nG1cvbPEX3hq35
zBs>e8`$(d=+=P9WX=L-tgPh9!5Lt*khyP7v7S|=nJMw49B9vQm&R!HVac+V+667=p
znI8mf8!-`qo3I`=v~0gJlqO>HuscbU6Ho??$tRwIPfJ4ux#r}Da}8Z<tkgo6#(k}Z
z4TecHLIA^)!61G8>C<y_O5|pBa3tDN4B?~7;G94EZ}drb1%=x%ef8fm3W7aD0onz$
zM>-A*2}%Skju}`Y^1}xWu++T}?A?MNVLwm9_m8+!fW6!gFv1fUadI}{xT5xg2b=(c
zDTS30)I2RbWy@V|gF*Lx1p2IP{_|l)Rd11RMuCGp^D(bo^dOuJ!s7{IBn~#UbEZWY
zFR7XjGe?Pgz6{KisL1UcWV5JP(9l{g`1zaH!U!U5;7=9M3!aJxvoFNlFiKA`euNS>
z_reo|!d!U*gkx}FJ{C!li^13%g7kxcaIv?{`}Wo69?ab#{=1PV_KzMt%K9A5i+166
z3kw@HP=ra?ToA6dp9z!@pC2+5N{38HGluvTFq6#0!s1cgd~j`adCM8ziF=y&xRY16
zuD*H^SJN~^FkC&_7ea{;0Ayhv=?(6jb)KFslmKD`7y~*!l$YNIj|=gQwu~f|irw@`
zq%d%Gz?L1IvRRS5ew41;6B1m4$`9*Im>@>Ez<@l5j1wQ2LJr_@6bU5s0J$7HwUb+s
zg`&F@x-aq(0+|0N=9+Or621MD6H@+3%Qsa1%v7Iwc*Iuzfjb5rkidMZswAfzUG@~p
zdc~%RTsBUD`fo}PlM{*NHx9#<2mwXq<BVRBAYO<U>L_`w)f7yMv2Q0vm<$qeC@c=~
zRyegAaGCUCR+eT&Woj+Evw@{|3C@msq)ddOgCa#~77<DZKDFSqTZ!LGbO5Av!BALp
z5{V39Dqg|O^6WYNQVi4TlGl+~;XvZCp^89g9~{-$&#k3$=spst!5SJ#x0@dlwL`(!
z9i?JJ6?n{9=5kO+-Ju2(t|ma%HPMHnqs`H4%wduiFxXNqx?f*QEHj+NglvL3aZIQ=
zFT<ijqGJVTEd{BV1&F<YpJpi7F&axoZR8xt%hVmqVXy-GJS4UV#pURJe9py;UDBp5
zo6==zP{&`y7tSkNBhXurer}8mP6_UJfp*aeR2{uYODwedyiEa6vxX9=efXsWyJPns
zezwX8N*cbQ&m`W?Ljk05NQyWyo}>sO(ohJN&mui4C-l<B_TX^-&}!K7+^@AXt`q|k
zsWXE@LyP(`A)FU?BQNiBYD`bDsE*y8M*=3w0pS1A#s&a-^cNzjsf|zT-#`A|M}BbV
z4JJE_gUA{p;^Kgtglga>na$Ia&k$z!`ua`SySR3Wo3A3;6nV3}*C%He8*gd-yAkne
zn<V@6W5p#c3SuTB8p}>fx<@IOY5?w+2UH(zlIz`D#QH*aO1-_0D>U_jn%k;X(lRnn
zcP}I6is>6XmlHGwLKZ>MeU_W`;Wl3ieF42<Nq!0>E0l@n)JKefSMCe5WOn<`QQLeL
z{=Ue_hGHE`<QwS3(C6(vb}Vg%w%p%geppea;>qLqSH`T#X}ZY8r7p|~8_#3d!}))Q
z<>;trBQJjdc@r2GwnfWaNa2UhyC8;wKTC6*Bz(x`#=#s?Bat8pK{mQpl(TCb|FEUo
zaFA5?-yH0G0-92s)r@$J_JFCTIq3}DC$*5`)Bp1tm8$VE>#a7TX%k94ZY*KYnK%)5
zg!`KhGzZMA!l#>M;J6rU*lTrf7Z(@ureeNUInJNIcEbkYV?xWJ#8pleEF3KS3J$mN
zB_8<6h(6FN9A~>_+|C_4+E(WOj>)eS^lhIpfduN~XfWi;Wv$mYG_3IbZiy_Q6C1}E
z4h3^$XJ&HpL4@n&9SIdmN?nuGR9Ne^{Y#hz!)8+4^p_(GpnptBeT6Tjiw<LWg%w>~
z6ud`aabxDfbY!Qzh%FUILFs9CWq*zT|A=}Ic&_{X|6f~LR*4b`AsT3CkX6zkQIswv
zqm%}zl+ZF$sSqtH6-`Q|rC}w7mexgOwS@{1zx(St-~a7@Znty0UFTfI=kp%V*Yo*U
zPjBzSf`X2CR`=02-16Ophq|why*PzkIc^-CoMaRgo!(tLs^bTgIC0`YmhOtxq;@HV
zzV4F<B}`0Abgp#|^tJe>GHe=abgHlaDJ2d@WcqOnL^UGvC&8aW(0Sgx()EwKOG$MU
z`+;j$WcAAt3oQ5XveuOM5_<)4sbtfvO86mH%Wo+ds`#u+mo95akw?X8xaur@s&It}
z(Zc*?p7a!PaSHS!#Vh75oxZYT9C!-@0UGUnUuq8;F1v@$ff%-uv$uDIhSJE&u^4hX
zZpAXAQ=nX;Ja7Q_n{RJ$p#qRN0yU0cfF~RkuHUrFm$Tt4yY%QMJ{Az%?9*QYr4ViS
zFzSisjy4T*tOnnod7_v%=&Db(&-eSZ%n)~moPK(?_M>Zz<+o>LnLx^~`uEGBpdMQV
zK8l7`XwrqiNnYN9eIoRlk<~kDYHKQAHq*y;{5x~O0A}T8wjnMnIo5@e`1sc$8WlEV
zs0+S|*1N~RhB-s95eah>ze;$va0p?^JHb8VG&3%$Z0Gzz%6_osmhRU>KBRWRJ2DX#
zj&9dO{7$2SdHz9uJ{wY452s8IE%s*k9QNe)*8TV)AgD~Qr+qDFIBM>LzK)t$^sVgH
z1b*gF9HtgNF|>IzjZ+f8GjF=lpfZ+q_&maw!;r;wgSjeV5<-?kOW1$h>URtFO`(tP
z0E9K{@;{C%`-m0mQMXIWgO0NNmZz8G88q^}`Q0q1AeE2?Cj{dGfeO>8wPFPgRqVO^
zN{&}nXj;)6C!OisFy5FCKViZR=LO@c4pn^o80I{DD9s2rME>)26@$RQK+(TZefJSQ
zY@wEf6o<K!q5Cdfv=PQ<&XgyeM;aYX;hERe)I>R<uwg{Tty0h&NWSWG6^|Z065Iwy
z+Yq7@QJPW`a0x&*#IhcMz^+KzZLaDGtmLZ>yMUQMr0m|Z#q{>SQ!i)K;pUNGmag&N
zMVJwd2XEeo@88cqzjjnu3(=EA0IG<915$YJ-4jM}-uOIvaABt6bxR`H=kn5$59b<`
z2M(m^Eo$%`@%0eljaCrK<<Z^vA@8xW<vo1ZL&O`R>DUS-1pEa2Bj`GQMmFzY*?1Gr
zFAX$@nd?-v&$2N-oc6H#uz%B0%#Wf6bNknZ32%gPc;avjmMkJlW0$>%KnDw9K0L4K
zG*2y>%$g0PWg*h7VPY31IB~i#fJzWVtAS?&@@QqW#iI5HG+Ja8i{$r)OAObSe5$ND
z1%&64hd{8|tGpNDt6&CtBzjMh%HWeLiGX=F!-^BTl8ZppbKhwV-)q4{vE-6P)jS9~
zbTa2$6R(BPY!RoKbNzcL;bg85pdzoB@inB6$}E~Ik$sh$JLQtT0@s%J8g<zse3)Vl
zr3gJ|_a^5qO)!sGY*>>oGaoJUs&h~952f>AQHEJj14MQmKYG)dTXSZW7m5)J5drB^
zcW5LKUUp3szE9!(0~FT1a##pXUcVk+-fac&oM@^-RRZ6Efir?$d|CRp*a#qn30BM+
zSfiiPmWc9hXSa9CAZ_+5u(w*M1(?p4!cKBVmNW@{2rUl7Y1O&bSI5NOX&#6L#?ibq
zVsP>E%b`Z$M`a3bxO%;w=^Si_x-S}J0CIiip_!gyIur6f?h2jJva}VQ4d2{qezb<!
zQ}k<$h9b2e#ADvqFA-s_3j%&Vzrgt+b_<ETE`IzEnkx)71$10^<YPTzrt8GmrMX%%
zYdz#m5(ol(x7e8}L89$bnhhLj#~-w4>rjy)HE9V?I`yI-k%jiW&#R5dj>lCVS5w&o
zOTeQ<j$|%s2z`x6Cgt~x_P1nU62~oPkn1bS)p(3a@r|$THxKs)CGmw}-feD2+J%<E
z>;V>Bs@Pym=PE!d)CWu#+s%?TEI;#{Bqv&kbc&*Az(j^6`ry+km%k8Mg3I+qrA*&Y
z;2$yvPWnsVCde3Cgb4Qg^ngw*w1%<wKjm@?2Lpq=$P?t<S_CtXPJwx*w*(r=Y#t?`
zi+*o%MZf|j=R%e{zz8k{GSF~+y&YP+N+|SBK`M$V6k(}Yb$f}^hd<pKTb9gQi>wGd
zw3m30`46r}LB)5-@K{VY7Sz`4ndW^RJ{8U1NxIJ9@qN5G=h*KxZO)?ST(<SEb*<H9
zDV~Z(KI&puub^Xb+m^0X#9vP*h#h_Sp4iyAD<;?g0n%VLY?fIF8!7&*@ZY_8bK_;H
zyiD`h=F{7*<2d6)n}W9B;27^?{Js+>P6#hWAd~OJ@+nkBu}fUUDI>D0z<eqZzybjf
zhB`bheIK5u3zOk&qml36r+S&z7Z@|2r{MBGpS<Wy_)FYb1GX^Gfq?NO@#lr|hap$~
zRW84rp`G5w{Kzm0cYJ>(C2>xJp+(`MoTBt@jyr-nvAB!tua5#_t)Cx)Ja)K!^FQBJ
zB&KrVXPOj1-*hTIW+~G0^8i%KqpxW9M1LwkNd|^vSX_YWx$((dofZFH|8@BDmz$@Z
zGxfz+X1Wsa9b>tK7@>JyBlNs4`PR$|4j5evr}7djDhJaspzNbJvmkRK=u26JHbSgl
z=REJ;yEjkEXeIA^Z-vkT<X<G0(};?b2;(8o_7ccl*7?f6I!U94qemQ&EFYhmY$pUd
zJnIhxwqKamGL)=w0o3rKR($wykBTYbSLTeljW0YbJxW55{r>fApRSpL3SKBMMb`(y
zU(ukZRy$0^&-N-cjhQ!(rfc-KJ=p&Gn*;`I*|LwJEjvtxh{7#sJ%11yC6xO>%K}>0
zY&><5RjFyqo@!#qPI1Y)tr<s`v{7K9J6?q80Ef^os9|j5WbQDMd~y4&ceqbtLfU&+
z<ZBWu%1KhCedQ}5767>;4GhTD5S!G#Iu!O%1dOJJ;elN;dVwK5k(hr0r#jwP74Z9&
zr#M>pDgvheUwoo+AC)$hO*P8>o<INfZIjfkutmwIgH`+8S^4$W@)c=~7BdaKzUobp
zoACReA!&_eeK(m)pVd-TQ?-gKi;r*kJ4!#=O0l5fR=@9GHlA<liLb@eqsVyqg<CKF
zOsWFW-Jvvx=>ty946zyNo57M>Q!i%h+c#%Rj{(cQy!3<G0+7FDa{+0Y66vvMi;3p8
z{}`2xatZJ8j4MhT+F^mVaC=1PEHptvLIQ`J!skGjPMj`cSuAs}D9PEbqd1~@A$>Sq
z0xBNztpR(~)YUtaaVJ4hosPH|7-g7!$wDkF?0lzX5vvD-K`zB=WK>21c942o!{IJM
z0svz)$yt=@t5eJ~h;qPgX^|7B8h7X(_rvDbPF{vfR6uTU)1wQkGy)U@GV~V%$B9T#
zmB1#`zHgNf=+4l*pPgMPcQt4hFTAjVAs#d3aZX_YQlGbPt!B+MpKe}|o;=;5yZq-L
z#6)P?#9N!$$tuZ?(n}aCB(Y$Hq6P@>Zbt4e7p9<>S68Vp<^X~A&vZWD)2v^(FgOQ2
zK6+|h?s>B$v84xCdw}#}Ph@j3I!VdNJDAZhZnJ$y20t)Gh+&i>z!3KFZKeUSKiYd|
zeTpMq8tdKwqE^{h;F@-T++=1Ps2^oo^Mb2=IOLfQ#4}1V5HBNhTG7E^36_EGRuREJ
z&*mCVV}Hksudi+fe2Plk^YrqvIe=c^*eAep03iCzne((`Rw+9uMUoWHD!|?SXV3N@
zyt;C*>~!`#>7JRFQtRC{*|ah5X0ul34ssPwo}HW1jV=-L1(1t*?O0NhSbM_F5{o9t
z6@?_Yn4bQDo7N?;k4q<%PWPbs07O%IUZYj2AT<M-^7Ij7QO@%;Fl(A~t`Xu#Qng&P
zl?A?<cpkT*Q|mJa$2}C35xr@r{i8P0gI7SB2<rsJiwN)xwiKZ<5xcQq>2ONlXZdsJ
zph4Lh>c<AlTw40x3>nbrbwTvHGZH4oA9y(~TW#s{bPb}7IGYzOSz=C+0?GTpgvPBH
zEE`UcB3EXTD4<l?j!{|LW!r-4pDX#%YIpzui2R^VojOg9|GN=oGbJtdREr50pEty}
zs-Q3VS^R{&!a`cbUf@p*xE8woV8Iyr7eVR!E6oH3Tk+;fl-y7oo#d>}9S~cK6nnEI
zRl;6CHVh37!HlA;SB)M)R1*~qZ&82xCJVJ_ov?8f*u<-=rrAsvRVMk|qeHJQnLJq6
zGJ-ESPS53WgJ+QhP7v$kkM0CRP4Z;odCLZeph?E$a2K80w%FKy9I(PNl^S~gYA$7e
z>5H?9q`UB*b(J8LA%RS+!xT$f9tr0Q>^!TXe$ldpFbx=v9xXgjpwxU+jxUG3Yof>p
zPMLGE^3_o?ujpQAZh=6ym?cdnjwrddx$W;J<Yyh+&s`Kj2Mfk@xl>fM8)SC%|H>XC
z2~NJ=(N@_sssL{YQB|K8zbl0lqY@n{dw_gEWHE<^hSqOzQa@(aT+j2>mDlV^;Alg`
z6VM1^0TxGm4^&^BO%v%q0Im;nZdOnDeIbf&1-0=f<~o4KuKRO~=xG#3E}DGgZYzx&
zE)B6^iT0bfi!@MIwgDskT(xc6gQh*_ygfV~GX~T@pS&4nCadW1^um@#0#;5aDcPrA
z<om@Te+3r{rE%i578*)y6P25EWN5AMO^J1aL~F5)gT^c5<Vj6xq@ccK!=*d3?02lN
zq=M09{vNvT0mw>q@%#IdQeC#HE^>1d+$J9hz@GFP1`Q^ptz3UWm2jqZV1>(YYA;qA
zy`nX7w)fgKT+Yp|;l<*wainzJzw9T^I5=))bE5Dp&}L0FH{ZtNBsy1$ar(F6^nb!P
zJK^x*@ThRp1q%*>T+Y6_a^e3kSft|);c~9|{BxPUf&S^GUe@I*f#PI%Rgg>{4$ML?
zS_Ox}Bvbd)#-s#4`M{_mQjCa^dGzhgRk1&UKLQ9ja>2Cj$m-~8Y2C%d0IOzqCBQ%M
z<G%-ysV?FAIO>Wm==^cs?U^V>cq9bhLB5mN>H)rxDpqodBn~d^253brn#^w9SavOf
zmw2}CQ(Ynt88vFuQ=ZoVlf>k2;6nnGLn97<<Jshbh{Op5mP0`hix8SA*4b_%W&~>W
zRpwJgldO4?S{2_C#x4(G3T8s*Zu6Ln1m&r_1`QcLrmOP8g&Ti=G^HZpL~U~GEp{rC
z^UM$aMBzpiS5%jzweP`8(uL_=L@lME*lefNW&gn>+SAoPiU&Wjn=@+6sH6p@=lOnO
zi8ik!g9@0~n#Qt8aD=<e{%gbuAwEb`7o;C5QnQG<XDo%I3x&Xj`|#yg3Z*IM4&UXx
zWck~;2h8H=*TzEG*?af4fvo3aQWYQiJ^jOLC{)r+738aR5cEEu>(!WKPHE&~LYc(X
z5IbegZ}b~~d6f;vc8X(~8qXk)UBKqeMw`A5yzsYGIv6~(Zgb;z%BB0k`xG;gg2CLl
zT2R2xPT%Eyp+Xd`5kJ+9AHs72Ifs)&j^Lt#F`?{45#ywI>LPYp%$c(fI82a$q{oQ`
zAbNUHpz{LAW6><8zT+!0eSWe^fT6D8!9cMIf-53SJ(LA{$6R<DA}@uy8mRT62#*Tz
z)!6?dtLlv5XNvJiLqj)G*a$*a4kk-L>=MI*?0f4m2NIA5f4dt~NMikust}H8-mKP3
z%N5kp`uq2;Tke`dTxj%=DMUiv38+Zr+<b|ZTWBU37H|;gz3He7Wk@xGw$GpIqcK7R
ziQ*y-9pWStP#+V?!pZ(hF&{28H#F$I`oOwqUO(&x;wk4xK*U%uBtU7{+^%R=63{%-
zQW4=4Y&X>x0X*QH;k+S@+%oZh3Z4VY5ZKt>+ReaPPB-1Ur=%>)cQ?wO9+8u13p}@+
zd2oMi+67g~Lnc8-XjGOk5i=QF+9AQx7LkaGn7WAXtf=p1b!3W;R#Y(*y%4u&+i6D(
zTx+1Aq_lLIm%e+w8z|zznrLUV9-Mn(qZa=W%ORjz@z7HjPQJWsouw}DcAT2$$A8Ah
zyol5$kap+fVSioV8ibRF$wpkLBFA*GG4?=9p32Q$Qf3m{2g<IaL5!U{x3z8Ywm20I
z-204|+|s${otwi~{s1j|dEIZA$ZmulH0r0=cHpepcdph{>FA2_x_hlACoQ6NV+)0@
zjrUh(3y8t9<9i7&KTV+6MaRoj<*0IDyR5OoZR_LT;qC~`5L_uao&xQ{((M1Dgkw>j
zcgLNP7l``w<i>_yzuccxJ~$Dhv(5HY-+X;j9m~pZ;p*AD*))H8SLHK0kYNH;<)}>A
zH4mYR*eM4wCk7#-ew`opf}Z0672A^yKlSXY($6|`V9B>R&(bg5U-s(B#2)z_DSe@Q
z(edlQ&!7XQR_EsBh0@o7$DDpKs;o4Oh3}ln9wf4{Ft|aaWB>XRcSfd`0Rzln8N?p|
zWf9TZF8B-MC;I7hNO~{%=*G6-CkG;XciR0$3@-?4E>BLIF3x#iQ_=r&Dxc0}ORbOS
z^DulmxG#TJ#ZM+bN8;<}E$)7M9-69Ie*JEyJ$T=*FE6SGco0=A;%9hPB=K=UhU@^?
zQI!pMWS|BJ7+!qfc0XoRa}0H&0W~sGq?aR?I$`;T>3~C=wo}w)S*MjSad&Ndr1Nlb
zSFDY0RR3$*c;92JfpW<=gJ%~Ogj)7cNLAj{&Dy38GE=fwFTseW)``8IC>ci*ZV~wB
z)2WV+-cuC<4;sc>^jf&RtGDU!PT}(Zn3%WbMrO6O8kEnE0C)tUDkg%8h|fD9j>0lr
zQe2z}4$&oc@UW!q?d1V6uP!(#T02GVJb!-Wkw5V?P2y`YDEE7r*eUtgy}db+GWW{N
zS~p!h-$h^1?9OzL0BN%kTA=TXXqO0@nylga4S&(jO};)ldrZ3({QHwteoNn;=>B2o
z`b5{h7tii$+A*MN#?I&ZA160E@r<d_Q9gg}j@ATnMoI`5>9OB6HfQXKk55ThrKF@p
z{zv7X$p!iOi)eJwr6u3#s;re$IPaX}mfInnOU|5H<RCXgM=fyOZdwamK^HrAJ3bG#
z7)q$3sw&xfqHrH^rivG(%b1Uooeb6>J$hHsJ>hjhxuwO(W7n3>)m>ju$`@471WJy!
z+HR%pif@LFq9aWz&%nHQqc-ayB{*HZ00tQ`m%oPxhd~UC3P;9l)os1^7fcY^qqJGd
z>NeklGe_HBF>ig_w}<bgjsw;v+AkGJ8!U35F-W;x1Ef|07A5|TZf3>h724U`@3)Ms
z3fO0Lr&c>_=AqMb*N8Wki5HAk0s)GU=<WmU3+~WK%J7J+byL<mig)_1-4Hz@pPn<u
ze{K~x%LLA25#qMvwkK%BN6a3s>lLhKnts^0C3j|mSmtil2%8xM14yggiSYXhW)QNh
z>>Q3HCx%(5ot$|%;!6J?H#=OoWxKtL{-){~89lGlik^;m;UV^la&~bJYp;D3b)f@I
zKEMCk#$OO}&WkyIG6(fIGGYBLS{$sKXZd>n?d(d~H*`qno7>l~y7O0RN=R4Bf{9nI
zUOk0?htFvu1PyB{rZ9szs&9VI2)ZR9!)x&E^@C)Wyno=$@s;{Q<^?YbScC~6jf1;S
z1Rrun{8k8IdIjB|*KV(6kifI4%H+%C6*_6>sL??|L0CrtEL-hPukf^0T6f8#aPr>h
zuH2goL(SIq_w{(BbI~-;lBemwct0J$6Q~P}aXV==7_W83zvF0DG+eE!Ry1JGq2S6g
z|AAkg&7Lkd2CRdQS~PMiEDvt_`O%as?TFRJ<^A2c-CY!2l4pCmyYFD~hj<|VLA9ux
zr<<EPu(11`;0|7KfAgcL-CNCi_ZdFeW@k-a^bo0A<F=$Hv~%hJ<S&NSp&Rb&wBR|E
z`9EyZ2>jK*#CP7n<)yPfX;<%H++~ebUeRe<QQFE-!kqgqTj8S5xlchC!A@yuYtC=^
zOy^F|MKio5Bf~HHJ8#Z(U7dL$r`F5d^1pkh?QcV2+nms|^VbEn{~ZgSwzL22%SO8W
zA{9pkjEnd<a&=Y+7lOj@sByelD0MLr(&T7=K|iwSa3B9dMn%QtW7_5iOt&Iy3xd?^
z*25@nk=Xe_g5mrVqM3>wet5#*-@hk+t;$^=b<k~}k#0{REkX|>G#Ri_<Q;|vEQxPe
z!nLu|kX`L-I%q(S&5)_7qeC+?G6-$_GjxD+nq%RQ_xJ05{c`veLMLBSFmKtjY3j1V
zze1mjpgG?l{vBYtmHJ*a|7YnVM~#|YFtW?WCEiQ+d0(C9D6|^vrz1j9bb-Y;KJ5O4
zfF$Cl;r6hr0p*h#KmS#^gq9G2w(q&$<%HyYFS|7zZYesiQG?D%j(;KEnIm~Z3O0D$
zxNG@+9BntAyIuRD*Vez%-OY|jb^I)*A|`ZEX;@3F6IFW5mSFRO{lh}loBArh&Y1IX
zSOBheu``h&(kDQ5{kPXK0w#98W?NaeIb2A?AmajCzK!L?*!P7H`;N4SC%B-^n#)qm
zc`9a~P*2*RGOKZAjzK8ES_BeTng<=Hv}54Vlh4HJ$#n6bQ&QM-)25by3utJ?2C-xy
z1tU!lZjvi>7bAS+#M_h)mwE>!zr?ra*fn1LWiuywGHi_3q@~a9-YpxHqPy*Nv)i6j
zAxZ$GClVv0-%vlcE+#(<-7)OyjLh9Mot_-N{>JYv<^DeBwdVK7l1}k6Vpn;bruk8e
z*0SkPx0R)UeYOT$R_R#&ULEk(6Izn<Rd;XP@E&Q7Gah|@9(_vl%%pNLtkJXhj<zU>
z)oYo#JnO}odAotw5|1C>SJODCU%x4^hiT`OMbwN*Vcmz%Ps_>%nMwnuJKv5!|5>Dq
zj+>L&yJl=?7t=&eD)5@!z!sG+Iap_NKV-j^${KH?y_u!CZxl;G@Bm-KJ9uP`G!U>?
z%wF3#hEi11Qp%07a!!igIYzUVPal@;nl|6`DblTXXoLJU%~<%^cJM_Y)7l8AXCVOR
zNOFGD1;qtqqU#$A_(-*Wk!fj<v-Vq<{;}7RM+B{~;Aofl`^c2UMj{pvk1twRp8op_
z?<}ZrE~X5@puHZBu3zhRhPiG(b|Zw%{`4g0N_c*%$*EnRBd&{|D!FxjZ3{DtSSo}z
zpfXc?SV^GX`{|<o3!Doj5tBtFceX%(Q09*{FI?B`={wNnr9{)A{D>l*$7{TnFCQ!$
z+3;`96y$<%Ye3<V6W?rp`1%57xqFBP=(G1CUIZNSef~)Id-F+bcz?b|Ub302SK{Y4
zdwuV`+}tNL4O3EOy8SxmmBkqn3pX#+n?i^I>hBw+SNJ4w_+z7?{URg%Zcj_LQ<t5V
z_IT{fnKL_^<~MFWMRpn{W!k!if3pM5d|A-lrJqaGY$p0^#EU~2CBk?JU=%g=7RSO6
znnQxPcMZCst9|kV(F%Q|t@fX~dNR>XuQ2D8C(;wC%z;k5cPzdn-FXXI9uYmnBeUN#
zNI!mt#;2cpygIbYOL(q$VF$APQ)sd=5v{NNcL{aS$XFs`(`_Do)O8UVMQ8nE<IQDC
z@9q8NR5>=Zk;ql9(6jMJX3dzPJGb_6%`CWj?qVWu5(5TPN3X40%Vhh?-9PbQpFiW!
z&{8)ITlt#S{KEZ2Bsi{!PeehN@0RX*coipQSk8xlnuBnUbcXiB+KfhxN_%;8pBTSB
zM2;2Xm!Lf%$xqS~h*V%Eb>J;_ZJGTvUCvgrj8^0I!=ajAoxghJN;RE(&X^+z;D^Lo
zBSRT>#rXKKW76RkIWHilYBI7+wyORB{d0cP+|(qz+8G^xa7dHDlU-7h=9t@*$@V5j
zZm|N8k|0PEdf#o3()4*ty_RiJUCp(e5;f=%l+mSytGvBuGIQ?g^X}dca&J4E-l=h@
zdo&hZG#`;ZRPT!M{UK`7;W_?oFGLKbk<W?wU3PRaeaFXi`5Vy5{nj1EIkBjgQ0^H-
zF#v|Lyu)=-;%+sAeOFDzio8RNoLYWsP4*=JuytPU46xL_Zq134Cr<y|7HR$BCCE->
zvWe~E#qaM2`3}+4?23|zM3l30$BEdS+u_Y~@5Mb*@O}oV*@qh~0)pXBM8q-ZuPYrX
zLDb<)v8zc#LsED#Eu(77nPDK2o@K4gqJzd6O^^d`WHmn`M_;qFTc16V8rMt$4xCb$
zu@Jht?)Pt!mMyd!9D1VLjE+9iTW!tx%>{1y0xIAv^EqeNK8j45rOTG3I1H+qt^wb{
zye?KjUcP+UvEEes1YnJ5q6HaWcdv_xDFW5^SCG928`6L5_j#P;Is7CMC6HM7UAH&D
zj?A<ZH+M&{xAC;&pS8Ze_g}s|fIwFvvJrBvi-0;4=8MGk(sfvw1%yC_GA=hJsFg;@
z*5hDMGP**2bRv*#As~00BJNN;R3$++ibxsW;Bl;q=1L3&FcoveqIarrtlKzM2rDB_
z>FwLM5$-e4<XHDPY-PXV%j_4gNjSG%ky`^mVrw;;kGtml)SvtTVQhf%sea?a?c>cG
zW-s%dL#F+K!Z5jY@V@lVQ-Qt@AoPVLt)!-kWnN&%mHm&3JOuK!rp({Cam?n)91S$F
zKsGC)bN6fLpFelbeExhLDn$O+etIU@9CG1Kq&s&2_oCwUaF%Jy5&{G&av$4*1<EK)
z_L*gJR94)my-hUIkn$$QOy|cmRw9rZ@O1c-m&WsW_$|TD!9*Cmqi8XG_zcXvCC{D}
zj(YfqD&K0{*r#kq=i}0yv(;okAL)x>a7A`{wEZ|HS^*%%>nloS9ufg_pfLTayv6QS
zwB5;n+Jjo_x<Q8N*&P)cPp00bUq0?(*#;E3iT2hn)zu;f0GM<3!{uTT9hR;ijg9R(
z87|muL}NnwsF<aIwg#{-7^^ihzQ=V2)+`{XLy&)ClR}zBgjrkdNml-e?2wExOZ`R0
zIcDn!i39No^=NVAwav%l6BPY4_$&Ej#QurYN=v0B45LV4rcR$qV79%-<3r8UQsn8D
zF+q5Ecz8X!3YsAVu)v{_&MxU-`*8u$N3MgHi9ko5r(7fgz*j?24~aH#;J`!6?|5_6
zzP!4AM8E2OVZVANRxJ8BPSP^w^FWg|YDLHMTQS8EDL#nV4q41piW*h82S&IZ-wp7T
zFC<jj{_^%Kn`M@Hr7ganYu4D!dK95LE9;OsrZXHs5|~U=2PJ;bbT2s0bHN{JA6dFH
z*KOMeUk!c+h+9%h$^(R{LiUTviUQ^fW99s?+CJ4jJm}DR+!PDAo9sn~&V*;YD^fs#
zvm*@g{H+uCrpe>SLf_1B3Z-?>tnn1P?byg#f3@Vi$+7g4aKlk7;xlVhB-H{W)tr%j
zoL{{<EiwBD>h^8W1<c2!e)dJD->6fC(*cNeb4=I6s*=KfK$MCQm9W%8G*-BFc+fms
zc5>ax^cCqFg8E+j`DHX7d#zsMLr)g_OJ4rG!%W?Sht*Okjxz+Ayc=Vd?s^}!kt2nl
zK_R7xH+bKH{heptP`i4i2H?(8%7D03PLtVJRyaLAVmuSA1xp1rIg}RM;N%c8*9@u0
z+`bQAzlxaG={>KD7HQn^;mEZ(h!+zXPGK6yQZx8OA!Ve7YL`pZ&?tC3FX;O*Y;tA$
zjFf{;7e;S2yUSTA<-Pq|d6o*#Dh)ZWN)n<XAbfsNh*=l;hi>{5UaM)dLSE0jdu2>S
zeGIh27=%8$&-%k-3$ZVAF&BIe!UCb!<Sn=Fk-|z0ZnhA1g4k8QsiE2nVI}SOGyc)G
z;?G;L+7a2SNV9cy-Kr`%(8y;yuVVF?U8*tGfH|62+%7LA!f4W@%NZE}!o38wuzkC{
z*9_zy)f5HXCBmhn)1J1W?t|HY#sBTdYpBuEap*Ll+jga18`_N%xR8CldOxi40d|{4
z6N@~23Os<wK_J4K5%Y}KdQsw7Bgm||chylQcJZl!%~(RWz2ojr(-%>YP>sj(y;HsJ
z^04&+p$2L!TH%dB?G+#%5Mv(O58*ntLFfprw#7f^6IXS9{^j_{lzgr`eUe8~uDr5x
z6c(rX^XD5bdm^@)Gx)x`wq{Av?!QMTZOVmZk@*>Q=k};)t0Jv*1rvwkLLs$?S4H?l
zc>A}(uQ1#S>5%}tTzf5KyD{Dx-pJ;Sifp-IY9Bml(%*w~3$@=rd>=XLGa}+2KYj>R
zELoHzi6aBK%cGEGB1{ueJMcMPzhZFd9DH$3`X7_fOYL`ZZY^E9RLFOL3QS%-uVP|F
zq#+IRh14;Zi@>@@PpUlBxloNG9J5bsx(>V-tLwCtY<N2C)qlr1zwNeaa|#P^VBOx)
zn|d{N`vE>rbdEKcAiNH$ca>nY5Tdh0q(?F^k9c<^GcjQs{{a>h`!pS#D@rZ6Y20rQ
zZUP@Dl(RU+^%kja;14;arSs0|_oT3h8X>v_J`b@$0#^mp=N=P)>zJ74zj343I7y%2
z-||~eoVY;GIQ!&)|Bx$5?bp_m><H-XPRCi$__0B9xboz+?XnaGLH2QT6_)k}0(eJN
z1-4}GkDyNh{Sk+K0-<3ht)e&P|A4CJqdsoDw38j5JW?F?DDc``XInKn=jZ3&p=cl<
z68ca44oAJ`^ko|ZKhd~(CqgS$S<Df8L-?Y{c>@JKOSRT9C@HE9Y1pJXF^sE75|<jV
zl|y3Mj?hp8q*oSdGT5&EC+?tixC7+C*G7Bpl4yJshJmlQKPOPm^<CktagBXs|6|+4
zJs>OP^<Vb~wccen#S#)<)Uah)K{lvZ<4KCA%y@Ff!C$eVrjS>r{_rYB)w9l-dr_+X
zK&rT8@#5KujgDsB+Z6&{jPhd?vFqCD=%lIkZWdRvmU%5(oOq##smF-#gYr$pkOB5o
zZd9*;A^<(v(AqRgEjmoFk>rDd$N^*x;r7!%Q1rz|5SuoSgv{iM(qLvIYSwpuh{7_|
zId;<AqL<m*8%s*;&&-WN)pk0)#HT`l-z;GG{x9_CWZcypRdjFYROj64U5pP8vA|K!
z%^EZlB7h#`j3-beig8N%0<#E$6hMl8A1R$20l|b7i}V%Rox+SF7Mcn6jn^h+-i1K`
zky<azGTP@+i!Kr<{`;HBodNA%JG^;4{yI&0amI87RPZ8>nJ1;_QWoMPTKYV$qW!N=
z>07T{YCG(3bU7wQB+$c(KAZxK6hImpy@5l946%FqbXv>qdFL;Och`ni{qp6^)~^i-
z_c`z|QO)mbH6q%IADeflc+a!_@(>R86@o(v`uj_Picr|FISb(%pIR&c<#o|!yA<cg
z5_Dp41FCTkoe){D{`D@L9k&N-^ET&}Ipk1ZTeA&1JTWQhF0;(-i0y|!4TPuYcUF7#
zr;4HZ#{W!EmrZ^BviRI|1*q<n1y_eNBowW?r7Fp0gBZF|w&6{bKy8-G4-hG|^X4hA
zTbV%vd9{PP0h(#*ji3_hb-NE?a)dYLcw)>STvDt)c=(tF115DcS68c=;*XcK75}4u
z$O_ae7xBe%DDSjVH%qc*)nXSh@DP1&XlU=S%L2Zaf*?eAHAbOaJ@NH8@Qx!4VK&*x
zPTx@!V_L+ncR1472YC#Un2??iHV>(Mt)gYn4iGU7#ufvd^}<@3-i}SWQP;`;Gze_n
zz!<Ro*+oPBGxKfBI`%ZN%2&_c`lj#v=jU_4(;d+i@{lUiiwPa=(Py&O$WXY@G!DXa
zEiA&6nM*k*DGZQIVEz@55`q(^4;9=9ZNCs2s6|W5$q9oW2xAq`m};zQepQ&xD^<sr
zlj9>2lRL$Kl2-0r+dBB2hFy4PR+TUyiQpTCF{TE<6ec+$Z@OV>q7}u@a(Tt8y})Y3
z62^E>jX!c^S7>NAff5o3!|9HtNqjC&UK}f7u+1GibrRe!C%QV$H(^9Y+eFtYNwC?w
zJ6m4K8tEGt5Vq9~_Z!=Ob_)s}{}^vb$@AxIxbH&qiHC6~NCrI$gGngjid&97qT5_x
z03J}anj4C;q}63BV@D^s_8mFAo2>Q;bu)Xd55WprYUPXF>=U%-Xx1cj#_x^?P8DeE
zo<L4-Z7jhL0=#3%08dBAKSi?_fyYavHc|AU8zLYKFmDB;-sV&l!bQ4xJO%>O{`Bb+
zfp6KGeQg~}x2Ag}dP+(eWlu46ls;BkB>h02kRd@D(XH4WpVAArpS^DrrJhm5CT1id
zp?Sz)!w@fCshu-CPOOa)y+VEO1x`*S;I|xwQ?MY|myMxV(13=ZQR0S(>Vf*3o)F0W
z1U*aYwdrV!*L_nGtA!ZUXmDA#v4p=K!q!O`9p+a-_tPV6X#B1$STSZx%USY&28s}`
z<GDKrYyO#JpAxdj<DByZ!;Ha0dX<F^k@{^eS#L=jvvT1L{lL~Hn?FL~3ZU&llYsi2
zsOP!-(|vRx#7FpC$ru6%L!6i}?=eL|+H&HC@LCAZ8Jbn-hyU#Y$boWk&`8X_{zq$t
zm$|?1NW%^?d-`{a9vtRkVje9WX{9cf-SPy89iv=ySTlN*1}-{=;cUJH)~-Bmo``>;
zB^+im#CXqWyaU&>(bEBn+~bi$)^E!d2l3f%uS4%YcXVhi@+bl1Pi!tPucU(l8o5s}
z+Ve(QMW{X#5aK&1q<J<M5v|U3m*8g6$xOr{KpVvdv6*1_5kVdIBNGWLdVG2li8<b{
zGb%O*bgZu(zwO+RFy9|HC*6+9|98iqU!R5XTmZFj+04+kR~F*>87MZ-kS9h5`ro$H
z-F;Cl@!*;eudi*FVwkr??BW5;ly<VWT>3(Jr_T#^J8BR5?jjL10#i`Tjv$j%jV{)G
zrp2CpL{n}2pm$+7ok1FFNZs_EcI{Z{w{|VueHUJizeCIZbDOZ5%;97ON04~CL>&>(
z510mOew#m79wwqAu83o0Y3Y|H4ZK1&apxDVxm6osdqeS=cS^v;Y71-GL*-Fg2Fh#f
zCgL7%Q#Y_59(ReE6oJJope>>REp9t}bJtfy4Eq7(lFqKOiFtkDe5c8Cv*aUUZ`~=B
z@;R7CtW{<2iPyt#9~l&{sAv@HS6o~yv_DAH@XZ{bm?v3q_8zx4)vMy~`cFJR9CRWF
zon4K4zin6xD^A|X#WlzEONOFu5aKG><2r<e%!@}WMqP$Xp*?ehl4FUWVfm=Q??fEX
z@9eL0j(skZu=elzOMjLvsj6GHQO6>r_>_$b^6t_VA-vN{LTXNRgT@oX1s|q<VFf?6
zh^LoV*y!<CdSLmjlQ*91nKaGw;+Z~~8p&GnKXQB29lm5GuYWn?vek?kttaAPLy&=B
zv(!f$5|GCw&gUmw^Qn@O4OgEU6MMGT6vnu8#nAsVfI8pYF#A`_0>T0)3PKD91XIU&
zX7h)|<zh7^=S~UKc0k6V>00l7D=z7O20}YsesOS}TCd8(q1uzAGY1!K9~P=w+)W}S
zM3b-b_2uoE?$RWL3*{mLf1!Zf)0U(vIc~y)OK9L>frrM#as~_AE9Q6wCBNYDdOktd
z+7ymX4O@Bm#GJfcB=^i*CLdve(>g8i??#T1LT+o1{Ur*>GzcURpva+dGVwD)u%aN*
z>(L|9xnc^SONijx`sq%V?o2w65f%n!f5Pte;-7^;M14j31V1<x!65?QVf~^Ti?%>v
z&cEW7bAPB!^!kBke?G3V^ys=_Q?Q@jhSiGE<#Pb*_CI<lbgjauPr1yWcjIT4FiJ8c
zJUQ!RAVM$b?I;rBAYc7nO+Ln3=Jn4my+%(uKD&00^GoyOh^qKe-b&0cl<Ll=iv$uz
z<~=pOpH&xi01%8@?`Ro$RL~qwg%g0BqL23-y+{DP+)kkxO8mL&`n7BCC`llp64cKM
zYL5U80k!Oix<^i*mD;mZfZnJBmcHoawK=Zw_24-3i${I-$;kCy|5$&~o!}MSHHf7Z
z%VZO2AJ`Lldvewz9DQu3+R5C-nTb<N4pk@%7aQ7JBRA}j^pAU=IpA=+#%RU5<jqSp
zEH16S+wr*vuEGBZHk{$q`HLAD4x4sL2#f$6KmZi<+e6|W3cCcPO{UI7V98N*8;1@b
zPD@WW8y*MeZOK@hdgVRWLCn{@+DW`mjJtv_xw3Bf!R!BZDl23)IBCp7dkq~tXL6aJ
zTUl4-;G!i}=2zNR{kT8Q?XTuu&DeCePx>(mD<}r67807AevZZS)n)61!xLqYXmL=1
zA*7kA6C=D8r%UI5dafO|Wyw5+q~=E60x<FZB4LFY(`fZO3EWKD7frj_0!|2xJfJYm
zlGw}5NL#t@cwGB2=m#C$FQ|~XX@q{<D7aD2z|cTz&RIJJ#jX%avGUF(%CsA5CN*%%
z==DkoS*8kd-KUN<tMV$ye09B#S>Fk<!+q`i4ONIoU`!O4;+9_HgKLpuis2nEAwo!g
zuSn1F`!Y81w4-9uzY@RrBk3ObH+HFx{HTY{E}1h}ysf}VND`4}>s&m0kh{s~cASO+
z;i(98DB)p+QLq1L6*#e+8qda|adYR+)!7D-xCwJcIK1?KSM1iN^|-3r92D2`vmKPy
zMok!YX;Op1$6YJ!H-4FMMyuDI+`~q|vb?~-_42OFQ2g?<$Q^`e5%&|Yijcbq){N)r
z)zwudb;~~G--xm=PwZ4&VqW4t?$hf(D_&iX0&;zd=K)=w2<gBMkM2Q2BqTC<8g2Zk
z#glQ8FVDL_)aJqYv(j5><j~Txop^}4x`li3j{iyi#Wp&0Lo@hWsA?96o6ftZP~^Gf
z**7NXP3vn_m%ox*`?G%Kq4*9C%6D#u>wix<tJptwN?GdIe~ON-K{drt$i|9Igh<-n
zcAw>At}ZKBIPjQP=){;j1FCc^stS_=@2b3(u)nbTw6)*d^Z(2QM&@}}!{N+)CjX}c
zdov3}J}Y(M+4=k<d-e!jJxvFvh(7)K&tJa?erTnO7Z?y<EwFEgPe$)+YVtm4Oqc$A
zWxJIBm)B~NiKqIM``O2aNk~T~xsR}`ltP*uqADqtiP8ixZqNC+#*c-~+)z;)QD2Y^
z+o$fq1IcqOm4U4>3hp{;hAWEd<c9vBzhI=q)H{k<+&XUfolY%7(EWm{h*d+ctoKz~
zz6f}DJ@DT4?mCm+^XKZ|Vk!4F83hRe;Rq%Jl_n{rWsV+K?V=;;uX*`%7tOwHn;)fh
zcl8|>d%+ovp(hh9f6l?fYw>BjWGNwo1z{j#Xgg^q@2Y=G_(u*(bdg-RP|sWbT+5H@
zC=<YD;R#3Ag8}7&TF%M8jD-U6XWLN5Yftx}FP}a|llII#7rPJ>?L&n8j0~&AJj^==
z&FQWYuq&Y76wu1E^DlK>(|3aVS=&Hj9TghQV%qyJ_m~@&`f^R>%Te&`q4qk-;1ZTf
z2dQOZK@pGJTe2GxgU4zqT`4kpY@=+Uw!L<|tjd6g%**2lq~>GI?ee8xEWNHBH8`W-
zI^Pce@Jya@Cj9rbDM{Ew@C}S2Kb1x%6r_uYn+4IiKaB)wVKIMvK}AEWWRLBgmdE6l
z=Y_=V8YGoh?R;xpln~6L>PI5*T*r6s0Du9=0l7hg9)qwN1-<VWF+ZwDWALMUZ4=c0
zB#Ur*5t~FPN51t?cx53Q=5S7Nxc?Z{H5C_4i%4A5rh%ft7OyTzqEGR~QS9tb6n*!t
z<{ZD-tEWZD=}uww{<{^IT?~q;&r;b`VBsoX?x&_daVOxlSTeK`eQjl71EUCmqeaLV
zjW&KA=lWE~HhJUw3A&!U7I_zyRODqc%7TtGdmOA5yC6mM39k$u#OgO?MMYveDv>iq
zoU*7xgkc^$Zxl!z<wvka&-O~9+!_&H<l5yI|NhG>1NrA)YRboH4;q-DwZzWn<zcDk
z1Ek;8?q<G1{#E$Y@&f(zT2nTf^6Au*AD;HyP;L1sJ?zn0u}71+jvnD${u0_0Hq1@)
zTN|gqzEd0oY+~8T`3Mf-fgM5Q1)y(V`S#jfL}?KdPZssXqjGEg2%iB{_f*SC9**x2
zl3VOO?ql`HxUZj&HQDaGhJwU$@85!BOtu31`;guJ$<rr^Q@&RjKQq%cT{*8$+!^bN
zOI*4fpPgk~Zi-ifLz)$^Kj;j91ONF0e9@wOF(y~=%&h=@;%ZbKw5`{`))J^*^(e`?
z%zd?l)y$A1OA=kHY})6(=()zoV3)GV`Mt8kbZ8|+#s__MUF)kk^3Nm3l}mUTs!lZA
z59=YM9>m{7ymf~n#VrRWH?;f;${-TH*fjb`NKhL76RJ=$qA^1wk)Cb0{`~d}dy9^3
ztf2vqX+OO*KB&U8@%`p;YgOVK%1yGTFp}*;)i3|BiJ2H7jjF1aWM<0DyB|LKn9fd<
z+EP@D$9r3HvQq7WUYzGS(CbXj4-E+Ida#cLw4kCLwQiZ?&3kt=s7*M5y{6R!JRt2s
zPENU3uklso<FZv&9tpnt)TiynmEo@Yq<DvBV~};NGsNsHek89!v{H=eT=@|T`<;w+
zGrrkXt7h67F+|~*NWHyyrCZD$aW=zpOAuDGmolsG^-RlQcFhIFd1J>`_VpS0q;0xS
z$AND;FAOpLbm*2<M1+InhQIrT(!$9mU6t&gFD{vrpSn8kE?5xkXvV+|*{QoRNXx*7
z?I8$v9$i`p?}X*BgKbQ)Hi#4Rt!U?S#<Yv}xAM}+&wvlbTJAGW&NVhoon5;>&)whu
z*yYR794AMlr&kqt=^pcPC3)h<;R%bJXY^6sC*^kH6kNre6;o$9<t`?C`}~xJvA>t|
zZZCbF+L!18(T1gNIJK&Sii&&g+S}#sb`$sOZ)uY=HCR7l@6EMFvaLrIS^_4}%iaqz
z?<w_gYHdd1H1o_P9D$68lD&IB&X~y$WH+VAktY-!;OEQ1@xQHYY=%~POFPyKIeyA^
zva?~&LmkKaFMX#pPjxg)Ev}5o8IyZ9!~8@__#T(N3FEC!SXnFXQyk#1qM_IRio)qz
zs+N2!rIHk5jS_3(jvud>7gOnA);+V%X<*jLQ>SWzdUpNsS^Mpz9@qc)U)`tW{rtnk
z$8eJtwpxkTPJ|opOdIz_b@QRR7&+=Dk^x7D9^Qy2!K=O=)c+V9wERld*c!Dmoh4&4
z>Sf~Nma0m&Z)?_+R2_b@`FF`Cy~nO4DxMi_3P72_r(*FR=bd<w=&l0ibXESbN_pHg
z;|9IKUC$2+xxD{o#rG5KH!{rCWBWav);ajc;I_-xf)p|zjcuCOlEDlkIv_ecT$u}9
zi(`H~`r)+UGY`77-M*MX*WLyObQp0rY0cv`GgXF2N-nehbYkmAm+GlN@+ikGz20X(
zF?oN#e~)3ekI1Qb2K<d<9S4l$G{!d9wEh%6R&*>_(b%?^NJ6`|A)_@Ko8^D?UfXN&
zomI`Ahfit@k%^4lEc7OoiYfBb2S0cg)a415jULVg>SK)`d;LAY1OjjK0FDeQVQcD6
zn}5>nU4}snStTpwKdF~av9Z|^wy6Kaz9*Xd|C{naRkrW^pT<MetIw+$n5WFLdueeI
zt<%F7>(}gg6VT$=^8E4RUCeCtv|#YXk>ASDacGEdJWyFVI$2$N_YI#Rx{^2F+7AL1
zjF=joAR2#EfI0fcq?gk)WWVfu%sevL=9t+iE%$7&eBZObUHYe&)#laBWV{5b77j{8
z%g9=KjrMx>4#dyJ`{d$4&{wVY=+gCy?SlsWGv~{DO@EasigFdM2UjJw4xc$=hV<0X
zD&>`l!&PpT(pmPsWwL+34z#KGR1&`Z0-7617?DU;qo#d&aZW5PC#I#}!_8TS?2mrF
z{8>JNn4J5UHtk8uoiD8%krv*aby-HKy7FC7dsJ;yjWb=bwq(K#8_Vea#B&9vasS6g
z{#gPu8;{Kf2!igz7*COMFgR(@rRC1u%ZDG$+1bugKk4b}(jO1|ZbSY%U)lZe#a79m
zQ`Gy-VXlg?@}FJT*eIA}uPbB1%A1E7s6}o~oZR}N+k^!J7){U?<mk@=c*2ci|K}pm
zlLwM^U8nTz%--qPaDl!|!E5RMz&(;3zqcgMPPNx&anKH}tIfZwclb0EZ+2^&I=l9M
zbY31_w)=3VkvR<sOs!~2+3q{#NJ7u|Iqzoo`kDLkL{HSn*KXWUxMgzZ-+z^H*--{y
z2D=a&@Q(hiivL<Nn^8{ZTwlA4r(BB`LBRR3ErH>eS3Z|rmcKl?<fn`4@ptD`e*Q6P
z-zS;bvu=S&>Z_Mnu7UXGrR^;G_us=nSNONK--)xV{ju$d4INOV_ib@b?AaqNf;~tE
z71?um2zvG(8O%SXvlla@r{X<+vp{a?#)rkW#M<7A%l2H;I{&=0(Z*k2AACBvKKl8J
z1OHA?lT>|ZKPWW5a?Zn<gF|Z?W#py)xotmu2KcRI??ooSg7}`emO3sQe)adNz7P{X
z%=Ch7cHWO4i+e(QAzXiQB3!A<v<7yW?}D#U#c+x8EwQJYh?5bM4;3T$iLZi;j46wZ
z;Rh3eo-MD}#uZ#k%Nn`(gN4=3F53o1{0Qk9>>kxRVdHlxwY1biAyvauqxIw^(Tp=e
z%ozOU<<6ayb=23thu^fBA@gj)XKURWFJy7()O78B1(-^YWBHc^x2o&@LE5mUxZJE5
ze1IEBK|KJ}A~b$Mm)>TX5}Wpjj^J+l4!fd1OXPjRdd|Kuq+LPFPL_BCOI8ZO((slx
zWDW0wZyS3}Syu9%n{N}>HMH7T`k32l-P#pq?{pgHM(T&G9aZp}VL7fujwNq=^!jxI
z#u@nHZm0)2n}?{X2E(lRFhUA1<MT&DHLq-!y{%^4<9P4=31N9Qhk{Qvw&_U@(|T7u
z?R1%Hdun^)%`wKY_~c_aF)uP(5S}L1kM~g4Y5^HW13DShTCC&&Bd==SHmsmqVBn3<
zhw=-9CwPv$bn#tH$#MU-RwE_=u_#if`@wq`foOSk1-eySEDc>%_~_9kWfMA+*)cml
z(wLmhQ*%)Q09^9;t%=n&KdI}xno5T>HjVlC(R|M6&p|u7ZMoWwK2QXR33?4$8nf;h
z0$r2ATA-ywh5!+N@R4(46C{6kiZt_>P-eU>BxJwhQx7pm@Cu5+Gn5d%@Befnz~HRT
zl@;K@C~cX2U+o>qpfDAe19!+3y0<;Hu&FDt5&h21zgk`Wx54&Rzstt^du{yEZSaMp
zh2^bLr+?aC3p$cIW=v0&F*~8+eF&0+C;7d~%Cy4+J2O05OX$!9CA#w8jh%N7C_cS8
z=}%>qd06iykYQ}=xr9_iEHdSTNu5g&!Fo_sA~^>!j>EF7&tKXP8rCorV!s!I8V|E+
zlC6+>?3LBj2$&PlFYkf`?XUHPLoE*O-XkSCBzJz<O|NvKf8!K?y^dmHMhqa(G17NA
zEa#pc1$&Xkt0_8h9++i#MD0>KN9)Q(KU|#LElpKRK5XTo;QbcrYBHopEQTb5F;E;j
zbSS{F)ab|1S7J#gFSeOzS}-?Z|N5hTL@WkQoiTCd%tx+~RV}jEp{5*(?{N3R`;v1(
z?Y6n{@<s!r|HhrzkX^cKtK$rCZ~H+d&~3me|D1LliV+&eBT@$uTp%#?$SV;RVHZ^9
zc}(pmf1w-5ro0qQp(T{-M@|CfY>^7trM8dzgF}43#j92oVT2diX?U-Xx;>x2V8NN2
zCeWSj9$NypF|^6b$x0`m8hm}-&+;XX_n#D49BOqPTcvMNx=YR4#$2tRNLUi+xENZF
z<wS;)_4Di+tE=-F0s9+x^aKbJ*)Nh?I}R!@m^4sxgxXe_f3qZmnJt)4+z9CtiQ1II
zeqKAlg2)$>_V)HhN0t1funiN6d&m7u|9qg-%qG1HYcv85hIRHc3~b9IBL>&EkZWbL
zQh9So@!0_zHchUW<sW&jN5`f~=4-#GJLu_gIn@Z3rGyEtr>tveaN;7ybktT0ymt#A
z|0#)$<?X$;I#0osjc=)%=Y@@>5jPsYAJ<wEacp6E(67l2YI<Et9?3~=F}}R)-vrJ-
z7@w)I-<g|hdaI>v2ROXA?$_szedTWng{#7Fi!GAE7QSvR9rq#+k15FEM9e1U7NJ2C
z(NWmWCGgn=Z`;<1@ncTQKQ3~-S_Z;P$A~j<{94I@2eo@-%{|*Oquyx#?v0_@RU`kn
zc6kvSJ8|RBFc8|kkXtxVI$({~<DIj=5fC;*bIGIE8HY^P_Z9^Us=ScPdKwdd(&G2o
zCr>6VHL<;Q+%a?Dpnp5>{$j|!9cnK!WGgglWIw46Hd0J+EPSFd{j`fqFO9f9LIUFV
zdhG{UIhkSdNNanh*jsY|h)`nO2O`lE9Ps#=GY?5(lxSjT7Ag^NjQ_q20y4MaMAMzh
z6JozjSO?tJ1u`!=sVsGUS=vGE@UZhLQ|14Jyf`;sxB_@ScEE2@rOnl27OnKkO?ZBW
z<jtM0mt1FW<*bKs+pM-P+aZNYt`qqYF!fps&JP@M>sFHg`l@N+<G)lNRNx05-y5$j
z*^wztr}^&K4jtG#$_hE^=b2l*={fWpcbjZzd)s4&^AyVDC_}^SJ9i|Im(tl`TYZNK
zNpLABDMS<j6ey+k;i$A@RC*68{dZJw!XGPM89WzH>#Llz*7Yh#FgqN($f4n>rKPm$
z2fbr?S7kbGE`IhzZO9~L9%5KR5sSs+$4L*q#5qhaaFHHkqTgKPH-bB;I5{)lU7zNM
zW&{rc(bDAHY3l0slt?+L>0=@3x4`t*pTxuFU#CnNe{<v3kMAAS(}h!LtE#|M9W?&(
zquIEOD45qEq?dBRp26mOs%OiM;4tU?5_`4(6Mc}Yy^B))KME0bBQ{VGKumCe9O6%8
zzlin(H4lP*T0iHu22JTGEC9@(V)RGN%n3B6^ENw42j!%Hz8rdZKs{S)$;Tr%z;7+t
zk5>>pMqgiT(xk)47f?(xPJjIT$snjqrCDhv@yVWTttR2ScN70|JSAlsmO;2+hewOy
z9Y8>M>kC3xeDhee|9&Uuq+nGSi#`|BZuXhypHG0Jh!3F&BRK5dz5Axp(vdmBIswsC
z>2zTvh`-3j053+nDeq&1a~{+ihnYCGb#$b7V1?+WIH?oeHYKIQNY+m<^WT2u7S8_^
z#~LpR*$-}QE<w?UqQe)h?4ftPebc~}QJ+%Ywe(M`@w4zztnc&d71hlK6(dqRalI=l
zWFm98-cxofS#s7jOsp=f@7&VVL{t+W@IZY0Y#K(~u?&@(P^ml${Es_@vY)RytlZ$E
zpQ~oRzwCQ(T&htj&st`t5gI5mVSbDm*FSSc2x`G+g*$OqE?RlyhFgNFB&~b8YnAnf
ziVrYYc!g#o2>72+0`YNwQ)#h?in@UWI8|NY(zEI5#s|Us=Qio?ybgpA57Z&j!g&f9
zAhAKpLocO`s*Ua+uR3DM$!G86JJgM`I#xb-_om&BsayJQ;T(S|C~Ia3Z_|hQ`R^!*
zhbH>(1$G<KFH%TaDCzgH^uWAAOpxpMfgxbvq;)&9w|54cCFEKGdi5Ci&#QH@5bs1I
z9_3N1qxG?H9Tk=xR&WrVn`FZ4J@H$#GzZ=*SIgIz3AeCElm!q*Le|5e<;j~>$B$0{
z*z{>_>W(VB_(e&QO>No#xx*Q=(B9yGs=M<jYC!1)qyQsFkM;bC-yTEjiu!-Hs!G!j
z2m}t>DIQ`WGoWT-2$Vx#n9b2--{;>|;kp+da2PuD$rA+hv&)9}%*>-dejGf)vqNsx
z{yf)|X;#O~qo;<b#ai3uyNQAcw1=4C@QNG<USCEg;VN!W7@oN2VaigEDYc}^QykIL
zSg6Y)!P$aJgF$JqmX<Wr1&R)lxxjYrqlNEz_1Cb^6T%?ULdP;TKK#TA%Sz3YiJqr>
zUfCUKCabu0qLB>b5l0{N=p^8k?7~9bHv=IBa!L7GlDE5};#-uXS`s<zLS3Een2e;Z
z_3vN*-(MALMmVdE8r)&h=FK5}1_++gIR1WZc~%V#vskml9}Hx#ors<Ud573@e{t5S
z@bHAjptiq(E8QOaesp+3917bGBA**^dic(Wj%odq4jFA-W0~wT&13wB#`lskcU9vC
zOLlZfwNFA?2dMf%ZqgT$iG`UK$UJO!r1?CX-70^6Cec;v4AG(piW~!)Xq?&%a5&}m
za5e1+7qY2d%?Kps0LEWB4)i0@`}OCZzn?r~|CiOShkTTGh2x%<GqoiYbdw0XK6lRh
z%FJbOg+P^uCi+FZA)5t1&id7faGt3LW@I`G7YEJ#p{&)>d){5O8g2OTMaD4pq2C|s
zI}QyB(%rVUmQ~0dMNX55W4UuDnD$W&dO+5{v;O*kQyEl%Q(;e?E_80RkcmIdDAO!|
z*oJ%qpm0M=ldNLj9l?_`)7`b*7u^98Od%kS)40I5G%kna1E=)0+OU<vl0GwBSkj4_
zfX;1y@S)iS{smxJ&=E-2X}|sD`k#26GJo!QjN>DT{=ucW7ky97r_G(*dxo)uBy{&c
zQ}tNYO52X6$CAMMJnBi@0lb^o5*ZnJA26HWUqPe^+3g!pA#f7Igx4HAd)XL!jZma<
z7Ivue+`o6P8JCWefMM_5w~G637A1!kUfe%8rm#>5?SM<rrOY`u<RNP>(CX(lcoyyN
zvc0`!j$Am$%*)qvD;kY1rPyn?yCw1%3v~nq5y3|9+I#mL$|QXa3@X!S95D%+#gKDg
z+#1*0mLZr#s1|1zWF49DDyuAUcl6Sws&NlK{(DA&@$O;iwnGUC1$aj?;nxX7OQJSo
z>)mqa&Ye|u7JrdTi6C5hqA;S4PT#(O@mYi?K_gIjnwqm%_|QwwTkmYD{or?x22d@U
zF$o~rUw?bhDKcN+eR8Q`4$EH!@p~7YUL`gfKeH~32n$=pofZ8QZ^pj8u_T{$?%2_N
z#*C5L3ze|<6CIC<A$I=w7cBB!RPsRs)k0$a;>~i?PiR%@4;-l6{H4f5d*S%duRr^!
zYieQ%gQ8R6nk3`@5H1PSAwJ|Wva8@g?FMVD_sc)<Kv5#aq$M(Mp?9c13^KXSmiJix
zc>s;GaQGwdY*w;Xkwfo!LVJ$nt}wH*)=gEBYH4<|pG)*aR1}0o55qvf8q}E)1Se4`
z=lVM_FN?NYXw80ot~%b*q{73Ti@Zeo>t}5PZxefeh4QShw3A`IzPzX!uqh5z18KuT
zwj#<pq7OTbC}CY;L0IzSC4c6NiGjl5$;roiiIcs6KTZ+bwCkIktgJ|trnZu2X&rwv
zkq4^hsj7!-GB@^3@as0IQ}UX)*ocphmnDo@cCXdHK}x-O|DHW}n48#}un28mYMl^C
z3kNUQGegm_bwLu$Xz#B+*f;Hk{^XLxbNYK+bUV1%WN$InU6{UoN>u%b3L&$D56@#{
z$^4&}Y%-cY#6+tJ=It2uY58J$3$pZ%0{lSWiVNYBIdR^FWK~IV1W=5j^y@o%uJU-)
zX<$NdX2z3ia^cZ$CrmZ!H0i~Kg>zI>#sHM^8)8Onm^F(UB@v9c)d1rZ*liK7YY+8q
zv0SywiUvP=NSc)#3w<KlH(Yi6z(N1G^9jW2!t$9lRP0B504D}BYNI=2tdQ}6R8gNJ
z9gdx)r|fJTxo8_CEG(kK$~Gp}s_PZgr%xAtHFlc{^Syh>v(&!Bie)0Dn<qIa&6wgY
zJ?VxG)lzCjaR(TRi;M1dWL!R}^G0yn;x@y}h<|sP04BC<1@AspKdv;r>-MH0vvw`1
zs;_ERTFa>jrvllwX7%dHkox#7o-l{dPvac-+>-Y*gUv8W){7*2_H?8DrRASk`kQ5d
zstCw=(-iXgRNt<|8+h2B@z7JZS-CB~uj5Nq|8;$aO+SPCTY^9uWFbUGi9iH?84E@@
zba{vtK*dX7b&J(=+A964_p$rNE7axRwQv3O^kj;AF*B2hfK2_6AoA1kBA^O8MVMWe
zK~GD~Ui{IN4c~wcn?}zKsb}VuEV3%__HtldwXGT_(%NZxrTr(_4tliUMR0JOmBCZT
zTRxUsGS+Lzc1Na_g#Jtf!ZI^+vIylHY68KJ(_K2gue8u!sBB?8$ToTW{*<t$R|{XS
z|CktSs-UD~%{wNf#qf(FF$9?uQW*3BGX*U^_JQZ(XNvv%?}41o%F0Sr+PrdVFQnq?
zXu=SVa04F-RpNtvf#yFNw-!rS^cg<q$_&M183!w{^O@X7k(>hjAh;#Q_NNpntom4P
zgx0UA%|9$Mq^42v*Haq;5H!k{BUWu@!6s=??eoqqP<KVHhXd_DBg5`5(@*h-C_t>L
zr*im;ogC`Mx{)A>Oa>w_T^reI()Xb;*71{;Yks)w=B}3$*GJ~V@#f8sznVp+4^UJT
zEG$tdyRm}-Q|F=DqbT)FHL>-0`<qO(=sZ8GSr$I+6MGF9eN1?i|2czOhKvJF?II6D
z;a%$1t((Y-_gt;@BS^&2()fvpmF5~15$hNq@3hOCWn3?>cn=U<k)3Hhr0tT~DYCAm
zk=FkDDmH=26Ru2-|D`e{+UkJu=JEV>QSh0i#R_^MyZ4@`sHCL7<d5O@tAWy$Jyy;e
z_3Wwphwa_HcI*)CDN;nw2~VzGx+JpL`Kwkj#dFQNm&+dAF}nt-53V?r)6f^=O269k
zj&mT0dl~JZhQnrCN~Y1o%t+~vkM@{$x}>2bA0o!aiBZ5ROg}fRMlEM_ler&yJS?Ew
zpwg13b2L{~PUQ?0^@@rpf`3{Ll2RgCHIP=E2`R-(TK1Cll+Cd$oIrrr<mJaNf5XT=
zhYVF#PS~E<ln@_ZlCor~dRZTtO_LJcBV(aG`=%7}JS<@?Gjb)dOA$6>gwL;5B)V!c
zk$1jH)o*tUB*5XE(N{9w7+;$35nZ}994|j<s2o&H^P;N;kotzIE0?sv0~7syj#wUD
z_4b-6D<l|whdr4@N|;!68nI{WJO6!8G&NB<CtGcvOJq3BKS}3CVqXwfCoLlbTN|wN
z$<%Xt$AFfbO*{$XZO+x-roSWr3%~F%9c=}tYJ<9@qpDSlI!AT0U}8QGy)S~0c(bct
zeMc3CnB{548KviK4W`td%~w~3ZFLzOZDsGY%<?X;3Vk_QMAjfB5y{4OVno*;V=7;1
zp4a=^^VfYtLqgIqxWd){pO+qwCK#mi|L3LW<sP&0Ew6{o`7(WOFSIqOfxbz@-UrQq
ztBM|~kr)<aQ+nQV)19q8y)olEXk<Cq-<R7z=uY*cgdyDnajwT6T_NQI#jy<(k|?%s
z1EUHMsEfo~5v?eG6IzOHxSS~{;^x#F&KHs3%sM{5D*JBdt{p#qD)i&I5ewl+em=;}
zW1e=1$)9UKWK?AB4L@_qx~Y2}KC747W@o*MVZbObmYE;*b^XDp_qy-jRMQ)vRhu?*
zrn@lP58pscKUbA{Fju$n97yU`vn?s{{%M~&y?{Yr!=CHDlg!yKOH;$GVpHZGrI?88
z&4;f{ka6ZyW3i7sb;>hsXWjJUxIn~02ljSMtWaiQ*0kx<hh3>n2Y9hE>A%Nm{!Pnd
z`gF;yc9xdPeL}~-d{b%$owfN~Li3frowwkTW3g7cbCh+O<5``Jt$N2!oeE`c<t6ps
z_zt6RY3bFM)j}xs{M%P)H+{jDB^RBox1O99WpGAiU%I<*uWd~SbT?P=&Q-n6#ng{|
z3^YB$eJ7k+@(-u}e!QK?O)rv4h6~r%TY+3kibh(OJ03YF6$kX4b;@8Uc*>p!ZeGd1
z&qT%~Yp@>Xoa6QX<uo4CRZ8dvWZUME;qv$IU&eIM)_Sz$|GD-%o&J@1W*Z8}w{Hh}
zD<8(dPrdAt=IC5`{OxWc-z}s&Bgt*>K6vQRPLLnwI{%FZXY5nzA3eSbrHFe70?q$(
zxu%8&`)cM1W_LN782r#VuA{hzKw;Nkj*$V*HB*;ed^W_io3(?;Xs`U_f7UKJ!n!4c
zcS57BDC#<a$6^G6`xbkx=vB0QN;byuogNNPF`w&_<Fsbt@}y>$od#LPe_LBcDj2TA
zf_b)W3!Z-nV6w|<t?vPxl7}AyIT!xiJxdn63Y{O4)4b4YnU{8?gMyrsQ%t);RwUsP
zhYlZ(r;;MUdvLX=aG=+_&EN9fti$g@D^Z11!~nzx@$v4_K6d$3Q-F({*GKJjEOlc~
zXY?jGP()RW@FLF}XX`dc3W{$``%s}5+OT1R$Z!#=TGT%MNkc-;!e)>jLr+y1we|n?
z^QX^d35Afew<8)tk8(+^)Infxzx=b4C_{DGs+O{3J8dFJyz~I1!khb@{F@*tDJcR$
zVfs3wkEfHlPZbRd+vP#9;Z2ImzUAp|mm+*0=M2prGHgnP=HS5{c9_ln+R&@MeW7q2
zu}|Vf?a;x4lU`1o;L?#7;n27>;usdTG!DdTYn%0@q7S4zJ;_$gNSpHleEPEfA51T@
z(w&nWTlPP2<MiyeV2m$mus)eEeK&&?wyGv3CnwLHyZlAV-`E$|WUYhSi>4eV5{=#!
z7(%T16R<aw<Q9^B8S<7cTi$7PRe?Kx`o9lK4j^~usmb{*@o;?ah_Hy^v2Bz6FSEM$
zF6eROIh*o%7kHLMCfDm~DhHo3M7$dVr1jz+B0D+G{Ee`nD2C_w2}2{Jh*&R#7bgk&
z0kM#1C*|Y+v+1pPxf&N6_+9GqOA#(LzcLlJlQeSg{=NLdeAV&SH&h>D<<wSH`8WM9
z{n;PzQngYfJOd=qt(u+FSELvDqgj2Bg$1B|**sam(;^lurgQA=BZDFed)m#}t7x*g
zBSQ46b`KjnIc-egaogDPCpEA($8_Vy>(*N|CQiKR_@_{5f!kX9^C8E;q1#%U;jj@s
zoC#<NASn`rD@Q5T)~vfrM@ySfyM2ssgtni5GGHM)<M8ftUldaHm7T7~12b`jCor7u
z`aIgJ`1ZmHq9Z~NnW%e|`M*VN_XF74@DR<CXc;V3r!_{$a<5SRPWja5iIIN%*?dJ$
z5p^F>*D*SF3{yI6(U80rq(HL$`kj37R}7}}=O@h9H+9jW=7_{$!SLcnW$N5<>((TC
zrP-gQf|?F-6c9`yPpS4~5zvbEmQ~mNKA8cQr`V^+^6s*ObW&0J(9e5glBEhV=M8+d
zP2>VBUoOWk6(U;FvS(!)ZwNL^{eRTG_g~Nb|Nm`-WR;POj3h}$WfhguQfSML7Lt`2
zX`oP)N?E0n(m=?{C?rvmQOGJ<WVA@6I<Jr8^Z9-+=MU#UaDIOIypQ8(ym~$#kNddY
zZ@1gs_e@oso8NKW2mb>&hfmQMPw1<KsEGjIaLC&#JZ%O2m;*~(%@Oi-7%hO|@q~+H
z^*Kb@cegykqMkevtAEOJ%%3J%8w+_SM+`KH5jOZ&z+l;W1d|>9waBbm`LVKcp6Y;B
z=IIPc5Ml5^bABbp@Rb-z%$hs995EI>MEUFU(3)I_HtS#)${0;{^~yQW0=xe6K2`^^
z0^lWySO;(@ix!ey4Hal8imT7>&t|mXCfvkmv%N1Q+H|!aI&`wzyN9Wnt+^PZf{k+j
zPCY!|M)OT*+~aSv%Rr@q2F!5h38b23RaM6D*##m+D{1(n0ce0y@p85U&=B2W)9HMQ
zo!2b1rbo6&DIi#}(ZY;+1UH+45Crac@#XQYg3!ovb3HS&K+#9S)OYh=2ZkWVPM~zB
zVO1Cy8eG^>vy?W(2#yr1S@7i?Ss*cFvnISiNcOm3^vfGO*UYSpY5~?81<B##(T0?5
zy-+xBy6-?Tq6ljowT5%^L{OBU#qC|#RahJI)oPwiwF<#C8%ZFbIt4hNk-0k(yAqhM
zirR=rsJ!U?9JZASsau_6j-U#E`LZffbL&Y)4MJ@uXc~M6_6n9%+0<U`E}!lV&rXj!
z9nw4<{1R@=f0OZTAyw<KH345RoT*}%92-(5;6VJZ)EFEj+Wr}aNE~Xt2A-4uTZXk(
z87;x>lk+V)1i|_t8^BF4qP1z59wg3j+tg_<pe9w^dzRdP(~y8ubGu=p$slKY$b%~s
ztqdm6%ea*Kv==otJ74sFkNQs*sNK8ch|g1{Hw>_zysj8gM|_O1_5x?7vb}?SnKDvB
z0EOJEhZ5rBpJB2DDg6Arkk_=}?s%%el3#rK-oxlID7A<;wQMWqoXuoPNmQio_8|mR
z9oIa^bcwUqMC$_rTl#wNjqbZ&-VPZpfvd*S(;MF79LNt8YTXFcrH@5qT|8<%_1@`(
z_?dx29^zGmlv%;KnVps|cRuZ_v$1j_{_PH2>Ec{{APvImXG+tIM^j@87jmMe01?i-
zn%idIhZVwtC_6h!E1W_Wl2{<zSFwQ${6KRlKsaI<33}rhGgaDatp2RkL93_!;v2BC
z+?1^xW)WZ+fSm@FAFQ>l9VH_@kk#kbb{udfZ8MgaNDRDM#cNT?x_ANU#u4K67Ppco
z=7=IF*>xU;$_8ft`}xA$wdhA53113uhqY_x0_X)!yb846`%m<s%^>Qmq3OqX*|rCd
zNOl930-nDV$*u7J?_ybsFP-vcjjxvtPA6r9Xfz!7^Qar#nxLV&V%HDxD~?NpjsjhV
z&B_sOuuL#(8J6nSW!@Ew*Dr^wE9^qz+1GW-7@T<VDF*}KEAes9178$<2}~G^D{ol{
zW*VxhOQXpbog#%9h8i?S0%LRo?ybN$!KU96ZA2Gb;xl-c{aIRqRXNObpNDz<P_LgK
z67al&U88QX{bV3&hz+7d>cUj}p>VX}UkFErWH(d2x}QJGA!JI%ABZ*TnD|P{qV=lO
zq7z@?ha!g%7QK)ofN{mBS4iC}p$+~weFjZ?_<N-pGAFzkP>djk^c(o1O01j|0Zdpq
zf)jQ*{NV{5pEXPuPg_^90R_aWG)h-7+t+qZ-+7I<b~ayqItb_L?$9#@cuITm;Ne3_
zw0krmk9j{*MJu>y$Oeqh#<pi>_uVBXK8tXPFPExKG-N4fuAI<cB61a$5R?p@Fw3O(
z$nRccdV5oU7Cm3017AjndETX`8BjE?3vJtP*&nqhGI{ENN;-LTCQE<qJ`fP#0D;}r
zuICZc_{Ya4b+dGzzD>JbYL|WG>Yy5;<@3G0T7V=cru1UQ3GO5^8TUi@4lu!TDLA<#
zCT=nmUVQdMykb7S&vU4rYwu4hwkEndW^oGH*>^j6v9A_x_CiOFOj1bMDbo<BQkA0B
zn8yG6MCPVMJ4qr*8W}MJSrJVVvLa6P@05T^bTbu1gT=SE3(+ruzCS=(FXbM^<b?@<
zc~@+QANKvxPe%K?gv?#(UqLh^f;+!~5}?DuvEZYC@^R<R9fTpzZFDQih$5%Jz|V&*
z+wI$u9e5sRwzb~0x~Mo=O8?)-kDGt?Fq44_F2JzEvlS&f(0sda-5DM4hHfX_zrQi2
zn*!D$f+LYWPBsDI&m%cCXm7#Udj+kq7`Q>=UmV|-VZf-BIRYar`wG2Wt%VVJ6>@_H
zHSiIW&ZWIUnu%y>&+G3}r<F!{eH3H<sk}lq%07&^6*g4pTX_MrI*41uX-H?9P5FKX
zoC_xB^*jDc5Uc}H>EZC*FYx0R`P#-kKW*sS^2jt&k^97QYF^br0A31aK9&Ly4$Y;&
zWO@JWrAnUYmlhh~KH}?CwuR-B3gYG$+JZEj87TI(Ub-ErGA0F%ZFgr%bm`>Md?MoN
z<e;D{Uy93iAd;R<DbwxS=!GC+<9@#f+P}Q!-62cemixkX6g96frTJE@VZPxf&GwdW
zukZ2(m6yCZT7K9`{rQVDT;eAyP0}1da>JlepW9bI{gfxFRIum=$R)scULb(^`>Q7S
zRPu->olltOR01Q4m9v~lQgXy<>GiVWZV-%s)+c~BVqF8{Qixg+>d4c`18_{;`eQKP
zmjfFUPxCRaT6rhDJxZpoxLuJZ1LowHwuM4Zr=H3xdGchNws+8{xGvH2Rqwue;J<c>
zRv-LdxbbMutbKz{fRTvR!Si3nxS4j}v881<{~)~gpo#OBD;1O(gPicUzRuWrQ{CTO
zRq2ba^T<uVeuV^NGh?k6uHIak=^gK4+}uP3WV7@K)QvFv2SFoD#u@&65?z<sYKk;X
zjEumINFR7}1Wqs6%F9OHa~Db=@+=G`?HM}=-LL@RZKFAtW3V#Rla_!ke0YVv*kizv
zRm23J0z~*vE`IAZ+G%I>iEC~Z2&GQ9<iy$EEj-Zk`y2L=^rL;xW?WQcW&H3HA+7rm
zb&2Gn_9Z#rO0EU-aW6q2<8o!A<gG8f`9!4;XH^BcPH=|r@QZ52c|T1iO;RhIGEAvb
z3>yVk+at&l(Ln1zkE?6nn{q1_5SxW^uP{4r-=<%G&fn<qB4MsG`8C<#I(2#Fm*Hkq
zBg6;6FQeQMEJh)QqYJA4?Qf;Ik}oCY3e#xDcqg;pjUe6wkrSpw5iWE*;jtq}9**g0
zIJsI~U41^gX3QeS8J>>a|L)BY6&v5@&Uy;IhYj{g84j-PU}zv2F>l`N$O*$s9OBz5
zz^?^W%ZI|2WePK36mtnn5j4vU7$DXlvUBJHjXoM^&ho#1|G-Ggp>$Aoa+pqCa*=#_
zCFbnt&jWoHpZ~dSPnY5KI|581aO{s^i;~!sf~TZlP_S?lI8I38{*&cY8j<Kkj}2YF
z9s7=TuYdhGtH`wSU(3g)`&j-_zl()9%*+2j6!?3&C!fB4HKQOAR#^f)V2cvD06<bW
z^0cey;KlHW!5vCyDYzWMSd6ND8P=1eARIVvVcsBu8aO);xJZ=?RoX{uEHKJ`y&+R&
zwdI0&#uL&yhe^dG^%$^9THaszey`zo2JP%P(`$&v!p##C#-VxN)YiJg$z5{<%s~`i
z$ZQ!XicPE#Ccy1qu+dML--GA!wGe`8|NYrW=r))=yL&r_7As}9!LheG$$2&X>*F|F
zUE*Sib>FTR#n#0D7;~&_+ee-wpZ~v<_GsI84HM2X$a4?QR~0$U?e%pTEI+?kpTX|D
zl;<lpq|pXq8Y0}<#YmM^AV6VA?ZiH4j#ySvkq}%HLlScRm*TvEp<QuMn=tc6G7s(I
z0s3z~zi8`hA5$L70j9AU;2@YdBWG<P0nb1F$L!$FA7cD>cjn$t4fP{?zfj4Q4pdKw
zN$KT&%>BD$j~PGz4p2ys9P0Hs>!_NeROBC>RrP&O{=IeY*%SXOt6#Ru-Mo$iz~Wx9
zDOK!4MH|UGH<XsZY6FX!N(KiwgLl4YunU_8o6SA}ws)=%HaUIhcz4U#eI1q#+mmUi
zU@6<YhJKG?>;B7^vdn@x`v4-s{RLNb8F~3RxW&r}eZ}_eP0h^>#Gm%L2e&Xd6~3I}
zzCjiv2p0{;Q9zg#QA~<WjX?R7V1`Oz|GS64p4bY0V7bO7?NXAsd&GSd8nJ9S-GmH|
z6K(;qggOfRgi6pIzayTfIgBsv>olP4ofo}+3$)HsF>V|j?jU6SU;aqOt~E=1KX{^h
z-9$;Lsh4CdUDZE5p4fVHn%%kWGZ$c?tQ@R-UjaVg(fl~>f>^Yh4v-s^GZ(VX{reAg
zEnl@~-tF+fC2O5r?v%Z){jAja?_a*{Q0vg(lk-)Dbu5EndcPBH8#ET=%m?0dqS9^K
za^lz{YP_jzU8Gfw9-IVtXh9u_21}1J?vi{z2$%SFN?^g7vi&=Sr~#hsjM!)_jyNtB
zHU^O6Tp($x#5I^1#ac{YJ2YKIP-3#Se%X_lXyXg5-!)2WI<0ynOh(!BB)hVUuIo>^
zrOme;NSwu!hx42kUtjMFzXl+w{?TSI4gp3D_j!7G&}*$-Q;)>i>$PuPy6;D%Ve+Ba
zxN}jCv9F2o&k<o_m@BAsHmS{j|JGB7T4(15EP3*zZOa%*f#EV?`B+{3cfVUC%{!i~
z;t4Pya?42)EA2>*{9e6^79E;H3MEIHPJtiM817WxJ89A+VfrpIB~9p9+4g_hR&(6*
zgLPZ>JUrc@zOrOy`t;l(x4k+~nY&B1<Bl%I5o4E}n)m34DtKYBcWJwsoqM@3XiI+e
z;>C;f&0l3XGh)sjt^8x9t1H9xxW&z`Q|untxw=+)#XXcZm|{L-wjw^%nzA1zBT}ZR
z0CAb=@wg3)PH%6Je2B9P+}>ihPVp?O6#8p&H<gRm^A!x=Z8u(rc9;CB<d#R4$b`gX
z+eaJOXz4_@fQAqzShF-f=AWVr6=YbGD%`G7MVFsYS-S)gjpfS!e9T<(Pc#(1?e9?)
z>oI;yyVioc?>bADK3QPUTCm`T(=1=t_|4y6Mv)~qENjac+%`_K1MD1%`Uom|u}19R
zLFZ?mvL#<O=5}AW>WA^=;(guqJU5JwaOrnUbEg*7mN8~B0B)F=Z0zBaf$1+jmT<sE
zJ2y6G@`52zs^)Wv1Q-9sJUiM)$VhoD!qBXpFps6$OOoAavE2^ovT*N4gNe~@=P_ea
zQdPFBg^WriGa%NvSK?CLng_#MEpjC;U%vZW?VWZG?G4)qFTeSHLd~%=;F9RUsiCW0
zE79jrvLyZt#3thCv~@!sS*^iEpkmD?ui0F{z#Y%#1~}K9@-vN_FruTpyl`LHsI6qi
zT$P<`!pwsxU-{Z-+!4n3`m7I=^6Nn05npvMa0eU^iX|7GI)Ss6ZQJx=%8Ra^tv*g^
z#>hZLETUrS0W~iU%q&}F=r8Ylcno3}vi`5_PrvP`cr<hEeZ!dxFFki0Ebrg+T*sAx
z^_G0sD+k}69npro?*;Y2;I|+s!t}w`BUJF@*S2)N)v`41^F)c+DT%);%iXW<kiDgS
zRBfjggeo#fC+JW#uEJw!bH~D)=0m|I&dfdexUPm#bH9Fu2+qh+*i0_N$>!@i6QwXr
z*LR50lo$yjco$5Ern1Ph8)!3?GE{`U;7njy2jb!!_Yb$johtU}qA%bwb>&|)`fBGW
z2dg#ckK28u*KmzK->UUb3>~Hsm2Gz9($?Q=uQ;0DcaS-LJbjQe^I<_t*>$Px(<eDC
z&#CiYE7vTL?sz6rGhken$41vdL}6R`ot1mF-lT#!B|o0MxoQ3sYiS7q@<4n7RA^sH
zCAc`#OMb<QD$hwWnKlF|vAhmR{U7G)H6MIRtXIAt^li{?)iClSd!Kh+32sg6{^^#(
zB(rdp_-b?FmvgmEXg`JWCB`bjRfUGey$oM{JRSY+LBzSYuWzl2Tlm0--%mM8N~#(V
z_NzpveNkisi$p2Yv4raDLw$J(=`b+hgQ4F4V&_HM4<xDnYkHxK_5axIKFZNoMojKK
zeeH~Bdwl)-M(wTt^s@v&(*FBj&+5ml6aMa|c9BAp62HG>N${?K>YbTB&u6Tu({?(Y
z=2d3Y`0Y)2{*H*Mc!v!qXW?SBkIE|Py%;#CgeO-n!t#i#?m`pe^W2wVlRBd?d<>sV
ziM!75#96B1fd|qY8cu!7%r&i@qhfqUZH=8{pE$2MYe}}`*c~B}!^c>>@xs&6cVhRg
z-(Ksv8zs~~yfR@(%B2L!UvD>*f401$(YMX+P3qsjrX4>D7kt>k)Zy(-cdr$CI`%Qk
zj4<l^R$F%z30SVBp<rLiYrTB`KlY{H+uMGRwJq?rPkG<{V$#SwyR-kwn^dM;8lqnP
zB%P+Zp}fwqeC!U{$1!>OW?ei|KHS<aT#TxUZYY{HPx|2<(~^uH7?j|`#f!^<l6~qE
z-N0|TT~6J)G`$gq^sDws7pi^!uyg*PzyIoM)OPsgN^V|wVMoD`D`w-J{X7z<mB3Yd
zeS1YO{V3T^8lNvo?~l#??GzC2_IKHgq?tx8N`S=K$t?_&_h)42ph2T35kqILE`}yf
z#NS&8j!<D9mfJM)@S$FQ>eble>@g^4H~4sY$yAL#4hq9scQ$5Q+70!aX?_0sV%ya+
zfx*F}#!d=9`n#q`{U|B!x@UGLznN+Gw3nr=U%AVmV8(aX7G`Dp;-5PddHrH$L4QF(
zZM$p}f<H<ZXM6}m?j#NEyfVNZL{?$?#J+}EJ!78im_3UresR?alLMzLyWG<+aSr>M
z8+f5twS0BN>Z#km$tiRjG$Hl4ciFo{i>_x~-G3h4Ui3HZvi;7T_7!jEEunxH{AEUx
z%xy>y+7LU0qE(E?NL5v2k@O*Fc773mGgQeDDepU6E}WpC{`_Npp!vZ}t+9GD!-!?c
zn@gBOoIZZswcr{fP9Ga<kLY`+;&<PgYbG>HHa0dH`6R(v`+`UP;w2KtZP{FD>%1F5
zbQTmOVY*H@77ms3e-J+GH9AeM7KrKZ@5U~RM%Bpmu^6}I_mi1rL7F++u{&5i&N`*>
z$jzHKt4o+m{JEORB2o1PO0WBE7=Fm)(A$?40eMB9+S8e4R96QqR?N<Se|yH2FYY6d
z`HQ+0B8U(~p;8lrL3%<V4iaWCkc_4WyJc)@{PA}0bqD7OkJ7cgC;zaQupW~bHdC##
zUe+YnrW^?H&lVbCz0WtdnoPV>czm582)@ecq8AnS@n7OIA9#|kYr6j*GvXkXO){_B
zSkdFps&sB9D|)2J=b%`^eF!qn{rB&ed>`m$uYiWha(m;N)m0@;6*EoDeXs7+eZPL?
z%2OAT@}2u1@w^GybNaSY|JjQ3Tx*g)&dK=p>D1%oCu23|EOA@Cd;UE%1PyDB$F~HS
zoPJrOFVF91JeN)JOJ`$od;4Z#b0fCA3j!9Ts?3G6vU-~;ua$BuyzSL;{PcZ^irpIa
z5>E?vy&K$9Yx_R4Baj|P)hw0pC5KV1?1o?tFX!>Az>j5RyYHX&e0FQof};yVkB2@c
zSk=2#e*b=u(N|}!<M*>4$S(9PbrkIlFgpZ*GCBwWIk7Vx+;7+aOvwJZYHwOFef>t`
z5W5HNvb)-KHaZj$cxso)o?H6Pw{G2T_+AZPk!I!cq)F-UXEQn_*=~G2@%Q$HuGSg7
z_htWS9Y+T&EE2TdyrE`YPasezc>_&E&~?6i5rpJo49ljheYXq?XT~LI6zHj~lHUl_
z`*M$0MCl#((_7`7e&}7|e7~cgKM&TJty{@AVRP${cy7+N`ErbXJgzb|)mD4<EL)>w
z;uV?jN%>nd?sjQ$ShMEJtB?QimMjJE5-vM@LXm4YNMel+B}F+L+@mL|!uD{UM<yz-
zKeZ<{HMM@|gFg~?mG0lU;`sD*p!=&6k?pqo=eBw6c^5M=_21H}^v_Fhe&G+e#NYs;
zc^{?OrKDF6Q%8^HreUw9{4MwT6PhLWY@W+94-b!uqiQQ19Q0X|0U9F4nS-ZoIY5C8
z@mrR`($kku{(Qvzvw3>_I=HsQpz?^ZnUtyl6ASWe(U2V#25?yz04|FzkO^DdvudmF
z745?sc`Z9$jWIm>sw0y-+q)myT82Oy7M_y3JNI;=yA>=_jEPS|ZydSEj{YOr<LlS2
zf%A=f`RSi*i!_^M^V0Zn$Nj!CG>iDtDCVf`Qa8~-)IdG{9}t3-Hwg*}mT8dVW4`Gw
zm&*3oA+R1th7M@bynhYa8(g>j%fVYV$NmlaaI@VTt=tzr?=m*ZS0vPf_or_OLyJnX
z7nU5HFj2b0bZrlcFIW$YN3f-}^?O_9?|F`1E&cs6WY%@qT^~6HOn5pYI&8ZwGCV!R
zjS#2+t_Ve;wSSME{R05&1vyPn85DbOKuE{PG~w!Bv#x~ts1AcR<DHW0ZBn0Z^J>Nd
z9mUd$%$&<T-lznR(NR*1_^jxBr7@BuQ4U(dhVyy0&*KQJVpv2;P<i}$>ze}e1xrga
zf9C~9K2Wyq{8$&)y_~6`FkmjRTY*?Cq)j}cPKTc_=7tvh`YeX|=`IhLx<E`!Q0W?j
zQxs$7jM2M$>KtG9$9Y#kc5c&|w`an8U3s^!XUD^JCJTB61!r~v?}IJ`69J?_c>N%9
zM6-Z*g(b1i)=qfp=Pv?IWtI2sKb0HgtE<k<OnLa2^@-+1ZQfO;RI)S|>`}PnkS#?Z
zrrbhLc8D9D7*wV^#L<i9syp8=Y%E0lmXac?>YrPk$r_;NdddD%o<C@R^4+86Y36n>
zyFf91{A&m9wPH|1j1R^~h&>fqfc(Pi6I599yi9U=;FP7&4_cDcGIfTxY9D(Ox;W=3
zCaBcc*mzfx9g<Buf)zROvRzj+xm;vfIx{%oeJ7R<)6z2l@b2e2g~r-@mhVBW@QGFn
z19EqVZ!8%2G@;;3>Z>MmnRgei9X;}_;9~D>CMNq-g1!M4s_a(62AhIK?2IHl1`mGU
z&`W#zwgE?4zqAy7%zUMI|4!I6$VI)4jdR?*drSC|FY55T5sR<^`{Vz<1>roZ>#ak-
z=1jX6eK>I?4NcIrci5LAtDM1vmeR(~V>Mabw)S_uUtDTx@O)LHkhdYOvI;U2zjofd
zsPcRKwvR!I<&)^jZ9JkcW$Xoe5YEZm&bQYT?l?bc*DkqfmVutlx}3Xr+gl8LEtYH$
zRUt=fE?Sd))?*B8hkB2A)oY>Ab}0c%GEVk=mbVvCl66sA&PFjg0NmIoOq_s65-S<i
zrOL7Cnh5t8?0V+REH}r;Js6IH0tnMz8c!kJ3rjB?)-0>M#!2GYpT|=yURJujnN%~m
zChOy$oj-r+E-3@@V>%}QI^hTFRNPM3TH(f?Jio?U+m7N1PtF-57gbdLax6S*uX*sr
z47<Z+i@WyfwE`d)KvBFz+oVu9XGTGTXA#H1Qt#!OMjaZ=mI)<6phjD9fmv9pmJ-!#
ztGCs%xN#|;rdY-<J6s^+cXD|~>a0(3iABkllgpIgn{jt8QmcuIcf*E1_t)Q~!Q{-X
zfCwX2mkHz7Md!|IU0GeW<F9Ic<by*)+iokVO8d}6xuhiZ$Gep{<iR=tZXZgkKgB^w
zf@DgeAYh~R?b}DM%xrxX!z7VRC_=t)GDK-D<k?M4nF<hq6I~Y_w6m=7@$9}yJ1es4
zU5?`YWsa-E=7isU{aOyS1SpCbpeo*se+|Bi93h;^XvLl~(FxzO;ia(me+UYEc<K9l
z|HkPkjqGY@szAG*+=^QP!R3B&@i7web36<|1|!A}j)CC9Oxlm^qk%kuO?oEmVXmJ(
zup0}{08HU3;ECd9`=xhL&A&mXm%hKTZHSgpg4V%?=5f0{W%l1!DZZwPh2H$z+pn08
znv!=jT5OJo=sFmz2ve&)2ohXg=oY<rfeF<J#q7~NZtglTx{G4nGn<WWp=-`Nt;$@>
z&RHm88wua$-LC;SibbG|Tk>JQd@jlK&UllGg5eX42EnQ3(<kRn3WvgCc;=4L5+Q_i
zbqw@AG-cPpna_R<L9jD=2=EdC1@NvEJX)ARv-gv~>|y9gGxr0I=<KqxvUa0g6Pj?&
zoB`4t#9McAbEWvs@>yM_2ZUz6G4ztyW}R^g;`(6t{p^`c-|>4K^&+ye4eZkuR?ubf
zjt>q9UbE2Vk^9R&e?EGq@hi8Z2?qv*5wX;&hJ$|F>7ST4)?;Jo1a-gZThqsGKIE*>
zvoY(ubr%kRO~rCXCw$fz*ymJ{E2cT*>!Y+oMDjxP&2yu2xo!ft7JK3Wp=ff4g_wqP
z**+%zcz}MX8F?NeH7Lrw_?GP$Li5i|P@KUtG?V?<Zz|2+3PI&UgSH=kG1JVcQ@+0f
z|8oC$uM<Xui!X2R9tp)flBw|MNlVO*jJ2{qHDjIXxwD9Hm7p>Rxe&pPxuaN}OwdSw
z&>1vR+%4gnA+8=75W%;fX>-x@+yI{$L-!1HEnNFJ@U?QeT8MBE8Zv~HxUBe7hsY}y
z&M;$0o}M|>8s(&bic#oia{x5C3S74W%jRD^OGcGg8;L<Q6D^hfQMfHRBv_~~r&d{B
z{qu|D?u6v=yASty735R0(b@M?FD7;VzzFKVhj_i6pErfX!0v!>dM#;r`IefY1`f_L
zZ??2Z={`8U?e#VFw{nmMIda0ObNL;g_UXA}cg~LZ4J|Mqu&5@?eH2+sKs3TXfL9!@
zx@D;Fb9X+NOs3o~?U((w<60Npd4)wq@o)hC{r#HCR~wz%<AX+0KzO8{Gn2A^n%#{V
z{U;}~(qF&5@yjti0)m-;2m(EAujx5=1@?up21Bd{;p-VN<Th@_O`9tuJeTG0Z}XjK
znz;ojXA(PZ-3$lCSL-j|@7=4*ycIiUDTF*_E+Awmh#xo3IraA_IfHBc0PKDJ#*NJe
z8;|&gHT>>bl^vx~`)T>rN#}))a!pAzMPBkf>H0FJG-Ba10BrBN*au}f!daJGCdL9J
zT`AoURQSW~q?`-0v$HLWUPjDsQCHULIWKkCH*b&Mou7Pj`gDIkYTUUaqnt4o|2%sd
zuEt>gIsdJV6j}%(V`+2ro!Kqhf`hdTHhJjAe;V=ns&hBwD%jUx0c>%4?=s>U(6QJ)
zEE}i>mPJ||xnZQo(^$t*Yp1U_Zp_*ie{!|ntT{&Rn>ywXdby(d@MugTSb}sQDr!kc
z_s>vIQDCsKN&%pR!F+qe_Yt{!PTZ^gIYi-ApcrCMh6$!Dq%um|500lTl*RmlfXo~$
ze67p=;YX&y;CXyfyG!iv0>6fz-K6eUZCM_A?D5O|6Hf~ZMS}~Au5Xf}Sd7Ww7-S+8
z$npW$?lY?;ecu~Zrh10-2^qfLVN9Iy!BfnvfoL)51rxFjxZD%cG#pqn`i-YAUc@mV
zbj|Y@0nG1=g^~Onka%H7@A*om`m*xt?EM!_%-iy}UXj1Px#2<E>`hB!EuLPoT|H#F
zhyS-`%VqQLJbsq5we;>tsNqSTsU!bI*EN1$l>91jmaAsBJ&he3#(TD?U7CIWNTcJ?
zpF@V$963Bb)kvmHU-*2>BKvr{VS>%L(mIco?LIZ!JXZVldg{VmU(IF!(#2Sgxb@+d
zVPlJVr(o-inNlaG2s`FAZ)Km~vD-~V5w^~WZ>0uS4DJv*=22IZf^V>UIt}^p!*x}U
zBm6bdQ~a(b0Q<-GZSY#Z;E!(l@#?N0*M*!c-k-EzW^XU~f6)Ur#Y}h5a&MA$aW);H
zeY4NK-Gw(T#x>Vwj1yLGN8~m|x95R<YPuL_vdezNjmy2PLhCanaqF$i);1YY;$B_8
zzb#3xORZR^g<bo7yPnFyJBo@mx?(e62u?iq_!J?LYI~s;aY&c#7S^NYS{T_`r*AQ+
zSh8)gpK6~UCp#7lLK@Rzj^89ezVH>@w#nM#fQt2)+Z|7R7|w^n-D_^tR7+fyEbiIq
z$7*km*_4)ww8~?)<&Ez3TIXU+e?{I_-tesUo6e~ty^`!Qhnz8wx>s0uxpu_(cCZ6}
zek(Fd`m-Re{nUy1nw<^D?VYhsF?gN6TVJyyssgGmvH4h3Adl<!-(G`F^j)>;-;BL;
ze(jULk*h|Re&1jIXzc6*rW?LJ44DpzcoYo-%6(auINT3+vnX8EwO@+oz=UCv(si=W
z!lp^K{~&I&H{y;IJGZ7#$?n}x?+6}ptF~T0@t6GTDV=AQnGec!uC46!+<1!2$n1+-
z@&|%u{%%_n30?2wwOL`(KMx)%TGi?0q>VveXYcc^>Lu-wZk0A~?2|~X@Ubb_tC%+3
zlL-*zisYOVllrvNOFlDxpNd_d^=?WQXX1U9EYVx|(x#n6-1B%p@Sbk4KBul-G|Wl;
z*o9AR7q`A#Zs}apv2FI#_+6(1+Mjy8OFqS6>)G2|zP<6geLm`S`j&I&m-xJX-y<<b
zQp!|ixb_5%-@kKI)4tjbY`pfs^W@&DXX#ZZn?Izlc(Su#$A|SB`vmkIlMtGA{mKl#
z;~ge>ODDdxkS^AewCXssy>#`ImBTQnX=+<y)FU0ux#{OusnO)gP8TDt4!bydghl%K
z>IL)8k1#oF*3BU)Vp!4h-jJ$QAj|z5<-UE}Hpwj&c_|N0%u@4p5AWnUab8QYt;}h|
ze2E##wl^-Xr#);lFzTTh77?L@tj&Ic`eYgD{SrxrU45nIdgsgckg!au7f@WgJqh{8
zyAmSW%*%f^H1s(>d9_kI@gJnaRmNMK^EG`UHCH9wP~q;w*9J$YtUCz_urc~!lHP8A
z@8Av#s$2WBNrQ^yeoL2Lwcd3d(ii(4OB#J;wWe_QAecs^tW5O|gHtY|JWo9Rcj@q<
zI-WCB!YvrIE`0KY%6r7CXG;gRE`r7N8Wkk;)ryNkb2C~_PR=52`y@(KW87S&`YyAO
zW6aDCfeBaop`}?Ob7$Z%$-|c~#%?+HU*aQ+w5F_;94IBa33w`xVVPg&7yiewo|R;C
zQGt5<6w|Kspx13vAWN4qClMm^6|JqO&%|3_UTNt%ZCYJcFWskPn8k+QRzHpT_%+TV
zT#V@<i30leXzMYs!G}uXzkkk};$xH~mK*%{FPb_(Ro?u6zp$j;!1%fU^B?#rgJ#4P
zuKJ&!FmR%0$CZcw?~n9f*Y2Rzng9I}PiuR`SXTd^-!(9!{Y2BK|9|~5leX3EGx{Ai
z9my!}{;O9<=ye#B2|*LWqNJaBe~y=xm3c5JBK0YUo6@K!;WNURzU|7&f%QJaB*CAB
zZyE?3?oFab;{7`=TUKiyct#1&Z&;i4a6XY%Fgdhgc`wrdgoCZC>n4`_QZ);Ic&Z_G
ze^D7nMn*DgYECt@j<Zn#biGfaXR^C#)22i=#!%E5nVEgflr`rt57nFLi}P9^{GrB@
z=_T*1@MbJ~kB-@o0>5pAI&9Rg1g<kwFj=#mCGb`3vYcv6fAQjX-b!cuBU$lx8;1^u
zSW1>-I>s00tD<e!pSt1G9?TtDH8fcuJq}is_0yLxpV-W$q+gDyfWC#rQ*Wg>|48U=
z{TQ~6EhJ~<rN{9{3Ew1W>U-K|KcS%Q3UJz&8aN{90HugN<&z%<m@O;RU7yyr`I<;e
zd@Qk(&(!9zhyf!xrSE8~JplC<X)bec92V=~M~?JElG=ci!Q5z_Idthrr5u^0LQ8AQ
zeDtNPEX${T$8GiHUGbBPVU}fccD@XBE0&9MVN0ReQ{aZv**m(ph<c3(lht<Oz(98+
zX$h2}Iq)1zX3dJFdFA-F<LU5e{aH3hfjr&2H4@ak9twz9#Y*RPF)gjxJFJ10K~&f5
zi4&>>$l0R)z`v!tpnfPS3IQKeEBc=9h|VcDKQY@jTyS}k__qTlENe%{jiqEaaub`X
z#c~FwLs$v?dMC6p3?+-<A3)@6@(xo2j1$Z2yjwkyQ45;9XuXjWF}>uWVR_cn)U+OB
z1%SUVuTqE75hYN{x2<y*57^HrDX$ArgzcQi1yOq0opzX$hM!wyA8S#Ha2|r%-2J^r
zUPoYxB;oHXAq`h1gd{jU3KbM3Iv}UFI_#<kGZC!`-i43Q1W#JzWZ%v-K9maf0(Bl;
zl^~!S2K0T@7|E|mBiTcb6-KmxQ*AdQ`Ey0z!<C{v+8r2ZcC~C2ySNyWZ20_iIE1$c
z=*BY=&z03216P><N1RuGRGk@EZg}3+ose08ps)xthC_Ii7uE7rT}e?<7?z2NBB;Lj
z%Te(!xN4^o9*M{r?8Jhg2nl1~?b|Jx<IWKOqE{ZiF+G$`PVh*&G7x11rm14uRt|Lx
za7K{&gf~S}(w9u7GZ4{O_#Fe04LUS#Cf^rFjgssDgi?<4iU1r$6Vi5^LzF|aT+F&0
zTBlR|J?T2*p$&^S&ao7b*P?4bGL;;e^&v{qv$v0iEK~8Qpqjr${0MR4Xc`rJKjN4A
zM+)Q?h(h$IvyV;~{z}#+-s%z6{p++9y+k(#M~z>~%vU^3sMZ%j425gS*Nv!U>CdI$
zmJ>q&y<1WrCFy0gO&J(JE?B%s8rw8la7bbGo?dXZq3>zX`ZzM(Xxp_XdF%wd=a`e`
z?CR95{>nMQgKzxtK95O7o2~PVnT^}FZ)dgk4oVth0Fipn3<NL2t8COLf?`AJ{Cil9
zbMpj~gXXqk^`fuf>%tF!KNnud!q4ii59KM@gyRXXo8{T6_dnelWdcOqQJ4>c^aG7l
z*dOXG6txHwSa4~3vhR)V@bwBX#@1)}jt$?_Zze07Tu4@$hmfS>Ho@=gfh2V~B4B)8
zgpQ~DrkI(e!Nh}k4sI=lUIcV43_fCIimskCq|qL5fIjlg-`-pa6sHw}faju)74DkY
z@F8T~&)YkdnrhC4AlUAD@cWCsBA1Zti{Z9#_5{(3fx;oy3YCmMN!k~p1_3{ShzkcH
zx+)<xxrv}cr<N*#bwGkuLLqoJKmQ<KSdpUJv}nNmTiet~AHvQbz!CrC=o+0#PQk+@
zt5-gQ+3D5RvK70KY+gU+pt*L@tP=$M7(90D*aY+FAh`L$i3D!`pR4zf>3#hEeGc4L
zyr2Y!gl|-X#OL{|i_pr8Tg&)Yc++8A$J1!Af3No}=3|LbT%q$W{aC>o6z&tupK1$I
z6IsH6YWVt$fP?Jy<Ef&7F#mg=Z>C>7MMy9H>+dAZW-vrt#VitoSW;a8RfU*%hKKPd
zLgo%QBh0;>^~e5~a|ExJT~z00w5)DA!TG#|)=IE(U0th3<&ZoM;%?&mx8(W;;O@bC
zNjAy4X;-dPz%z9rR`(shbb5{s{!L=34H83gvt3I%JgG;Ix=xvLt-~Y0=h+-eR20<(
z5Wd*YAl9M^guu~qwBoMayNg-CAh?ml-sr(6CM@s3VN$VZgJb4EIEwakad5b24hfjm
z8Ht3>pq-?5u@RfIiP*c%>Dxd#x%FJV#ra{yY8WE`Q0acTNgNe^B_M#VvV8|;Xia>y
zw{0&*qyi`qW;5dCq8kuQGKLvQQDH%y>98mn&<IL?$5JY|Zy#=-peOA(VSVWgBrJFN
zfN9h1lWfHE;id{ihNvOt=Yn8L$QTiBO7xrK>m-r5@QMoLH(=XRG|^NV!t|7zB)o2E
z%ugbg?O<QELkUkTDl{P%AQqZrdbPlrlm|=({<20I+hNS6c03LJB%6Ay5!?yJFkO7&
z;zn>M;yGLYSg7oDE#oEz-Xu8jTq!XoaC^mkQmEXmk{-W$S=%P=3)&ZImMrF&gbgG)
z${a#N;ra+Si<+rZ#*^O%5EGKP>F|ZzZs3%)j~N$eZuurhA~iBMPqjE@$NK2qa9&{K
zmP4x-3)RTc4V(qB6pDl2y1%|P69Z_mkwC1^AhHtA9dY!A5Y`!QTqfam%lvxAFphV%
zze6rl-&i>tQa}^ZEfEhWCC1lInz*v5%^)qfu@{j;tR4pqaU>o_H@Py1IduH^!kF*z
z-t3P&`{8e*eWnhNTEOgBeNjLd@!-U3MXS|RehVN7VtN*D=gaGhBe(=u30UlWS5ktW
zqj@k-ayN`NuwX_ag2zhbB_?6ucx7Y`p_mfu6L{RqSFKu5`gP~JTV5>#sS7wh!6_+Y
zgtKGwgwf%q44tGd=eL<NF2vPUu*%5+gR#XFg$Z20$BfuS7UXX!BS*D84t6DZ&OSbI
zKZiqvL({{`u{xC>Kl;vB71{?sg)@-AIWfc3)MO}nIB%by$9Llb3vN2MwFf4UOrY(R
zUp1c;^$}H@pxi;s(^y}6$6VDCQn}y?`#D5~vhGGx^J7g-FpdC-QBK2=5(_~A1TRnu
z2x~+}FFFl(p%JT)S8=%!F1lqrULDfRG#$FhM=Ltr<wjfN*HHJwP<~K^?qUoLgRJS}
z-l5{y5`I(;e_i#oc3s@X!j^1$B(W%i-{-{JkJc<fm)xOT?oITffd1oy_#{H+S>C`$
zWanyU@PI7(ovEHp7yce4uHie&5JHWz3b?vyzkU}L!`KN8p~Y|Cvh>i@)HL9)23~5Y
zvzpktz#!xdsfNm~@0&@PT^P2m!akBbEMQO0r}wGZhK7bL-?B+8c>d(ckF>gZr%hzU
z;7NeWe1Y!UwM=45#70lH2?)!UXyr{Y1J{i-Jv>94d#A@HY9VzyIu?C8g>Ib*y!@g?
zixys6dk}el?Bbdo1jTw5lDOk-#{qo6Bv04+1AEE3?Yz~gQ>UGmt|Z0B8*;lvJ_T&!
ztX7Am3$lc8@B{EoV-{9$_!_S>rFmR;<i0?o|D105=1y7;vr~**L^(_S(l7THSL52B
z^J6!2XDR!`sDae*R;C~mH6ElJh-o{YHxjF`<8a=tI&JoxIs1cxp8PzDa~GxNu_2H%
zwD}+KizHzzBViYXpjZ=6#lS)fuPsYAZJLOinTcYkYU(k&0UB4!nIY(;wZ@-0qd{yD
z>lgW3B(YgTbrMgVlb+G|dyiETN=84JS|Q|VHXR1CFP3s!OcUz|^8?xyZCNn4K)vi;
zBrD!%m{OXXt9~&R$`?%WOfPLt+!-`G+^^%Hvd?d9UM)DOZf@UJI5NcQEH59WAEt({
zlEvsNw1EG<MIyw}Aa(!-_#;OVYXM+rYBo0CR>#VMhyuhY)`J2YMKH*B`Fo3jHcHTA
zL-N)JJ(Qw8XX-|Bj9wECNeP3R?jjG1Egz^RP3FvrCzUecP-B@K92?z+@dpC}I@nmg
zZyRIo<%CO)A?u~6BW4${i)565^X1e!-~~xjiszF3$@8()ccV(;ttd=+;uR!#VJpfz
z4?BF=K-5e1^|?PIp(rRE$-@-R;N-o3U3v@@d&bnYW!dmcN2H;h!C((0k?-o&M673?
z&PwimOmBo)iE4q`<jD_8N_6v9SK2-}5MC#gdU>0#@jYVG3ZYDBN_huRD~u^6^x?=e
zL04iyIBAN#IAUN==@W4yUpIOtn{e8pH2z3KR@@j>H`x6Xpg0v|N@`tZ!4hc+I_hIn
zHz>dr{YXj9;j%nCUk!4MhW04D|MKdN4jrIzcCr|Ha(#}S6#m-$R}bVjyskp!&BqRf
zhMo$Ny)7t4#}4pDgnb5~<>(hp$e#B0C9`+>r=1vaNnwQDN5avi?&~oHT80Qvw1;RU
z#Og8$Um~&d8y!a-VIr`i!P3iV@WhqUoMswYCy(=-0|<pE`&PRvyEc9LbN=uR+BW1O
zD3}&)W8%Fc$2>~QkQQwvV<eF7XytW4RAO(LSjH*V34FOhZu|EwjS`R2XAbFnRbgVt
z-;I=}SeOyb%6XHB6v40y-@1r53#(Ra=mE`MzIN?-oogg?!O<bb&lcCGJwM!-G3_7T
zpYF7msPx5+Jb18z^DA%$vT@ay8zt(PPC{N3-X`_v3JZctZfp)DRYBtCiqG-MjNZL?
zTn<8WT4ynF`@UKI<jlDuIf3bW)t{w;GJ$O%xY0BU)pw3SB-?y~d}ocifKb)4|3FNA
z)Ehb#a#sFiALVQ6Iv({BKGd(zsrhCXU{OH>CG3N+=m^^BHQq^iCgM>+n^Eo?U>?+^
zQz!Nu>swj%M)~pY+s&PfcYzERJn7^SWi9Fr`eNO{(}ct-6nMgikVikG-@)e0OCmRu
z_q|V<2xlb_bg_L8imR_PkAmXEm&Qf7EULck)TPTtDq=B_J<~dgBB1i7MKvl((k2~O
zdzMGyW!LoOOf<@>0isC)+(tc!6k3Rr5HQA4_t8)pMy+{QTs(jQ5*5hFs7)F>)U>@@
z7r$TkppGGl5Rj9e3cn~ZI}r<8pS^r32+TY(@@EdG4>gX{!$ZS2)qIfOZ?FrkKgIlV
znlZV711m>ssiyQ_3r|)Me}8U!u!5&R+~lpz<d~iKy4oub?}<Q0aP`c|VN;34xMCVa
zc;tj7esx*OAQt$djM9+*gdc9gjbO4sA33?Baq5Q$Igh3+<kfF){Fbyf8Ve=5Z-HO}
zOtBHAE7Y9L?;itwZhk+TA^^Fy9tn29B-g`Qdlv{H0CYG@OUq)V<N0fTq{5&=`agqi
z>C)wWWBN*=dVYeg_z$1<{NI+B;(mhHlo28@4N`NsFG*BHyvv-+kGm|UHE;`eBi*1%
z7F2h!lch!54!aT>W1LIXZJ#!TX3mk8z`0}nrcE}{#5>A;p-6zv^^`J@3dn@2lGe)*
zyKCwRY9+zC2Q$cd_AG>emptMQLwTHOKXMtORs9=Aj1bm^G7`{`&ZrjP_X4!jz$XR)
zSfm{CVc^7ni#!{Ad(%!68O6G4p_t@<3I}YVKfw76kQZ*uZYEvC+D`%&;4=tKAIafL
z1z9~9{1c2NWKH$ncb`6f)B{W@45|XKp{ME#_)Id%;&O1?yI?NNB3r8a(euvAiIN|(
zw%GIpjpqW3v3Ucrb9)H`WhhT9)3Ne(_N0x4vsL`EM-M3}2LQRB-{1C!o<&>R&GUU~
z6xr%IjR-sks!ZYRTZVj8pavX+IBEqzABN`3;j6;k>w-jA4DI;?i&|(Y=o#~;H+OY5
zGWv7wK>y{mywKa0aXLlSG;?pyI`kV9Z|rdH+Izo2)I>xi8KP4V4Zp}Lo=xko6xgHg
zBc0sO%8I+Ao?GD#&ub<3B0?$(?0~<IHk4|;k9gvxU%kEy*#Ln?9CAe0_eD6ZEo~3E
znY)dvZ2(t<eB(&&6c2`2c+n+)Adhe+hMw&>3nL~^ZtQc!=ijHA8gu$!-g6h5Rv~b7
z2Cbnw-B4SqNBc0BB9a|7!1&;_GjUE>NwLCbUP19s%^*JduZ<BbFkJOqgn94YJ|XtZ
z<CPa&a=JQc*%7qRG#p&*N)Ak?j09jMrIK4#Q#jTFFF{OMSe!3Ec(5p0FR30Y|Mu-M
zp@yzffme`4PastO!nhqgrki3IZmICb;>bBZxud-p@#5us32S<>HPSKEmc{PO{2vjx
zP*%CXXr?ix{!hesl2ns7xtGn_*LbRNo8oD=j}7TB(VjOckO*!gaBb_4xZYw5AmRQC
zl`@w&j?jgl?lb-Zb435MI0o}^t`jvW9}uxcZy%ogsrY!Yz*kDqnw*WCn84DBS4Bn=
zK4t9xI=kqaSou>vf6#nY*%u(cO!)lgtGe)Z81vxhEDCcj=_g)8r_dM3KY>D=PBhI^
z?2V9g9hv^(wQFrZa%k)dgmedtMr1Tv7<@fG^V}mQ&FO)vn_iu-5ZP08;bloZ=?iIT
zVksTKjoG=+6<rW>bGX@XRo&M@sKtRXkVJ;SM5#(XyciN!G2Uw|E*3}|w9<~r9#eUj
zW^GmPdIQk%3W&^R5e;iNLZEJUUcQ{C@nNE8KhGDY@2L>Ql5`p*n`X1fX<LJYrj<(2
zt=}ksLP*K`5WWf9bC`M{)gnA_vl`ZD<GwBy(?cta5at0kDhq&lAiZ5rPp?Q{>jFA)
z6gjilqbS5O0zs&)T~8++I(|TV(J1k$plEf65pnElI;<#>gYeeZV_P)8m<qFDXMSoF
zLAN$<eCAUOi%4yI5ouB~kw|Iex)3ujO}A5()o^<~L9D;zsdgnfAcJ3?<-dU~5iH+6
zH2xS#j|(O0FEbS?%r5wzu=ezLlD*Xyh$I*P+sZmXs1KwiM4f!mAscyWtk(8Pse)q;
z%J+<yuKL23Tf++*%5R11fA`Lv(wlSR!%m)@3(`M&;bmpo@N5WGgeJ=HeE|Wvb;Xmh
z6($9WW`^#&;~ie2!10*n=U-b)77)_&mO<C~<Ea+}fy1NG<3&-CGZ%m~cnQoCG)UYj
zuDv5z3VentGb0qtkhCsdy_!ITT5$CQr6k=Oo%aApbJLx5m}O;_p7@m{B)iazq3ayt
z59pArZp`Cl>zIOZo<yS3VHROb0J{L&GG+!QoXHtK><?SK;EKE9$-@_z&n3)>o@?L)
zS3O{3<F^H5rP^P=oJIXLR}Q`98dewHMZ1S_wRg*CvC4~j_Y9@JM|BMhUjS^05R*N@
z!M!NQV31j`DvlHFhbV-T#P)9SI*F^hhOv}HYGhvXE8#E0D$Hf*_E=7h^B7KrfJWXC
zC1W+flK5jQxF3)M1HoJBNT>YE%qPdQ11j=xJFz-nAtRv|HEbaZLVi`-l0SrDD~F}P
zHYwq;us5J(<ZQBXLW|<U%-vMVlHJ~rm7s-1rIgrp22q@SbZS=&hJlS4Vi~D~gD)Rs
z5dme1Pj0xd^l{CcgR%L=iyJb2d|b4Qq8~M-0I`0Z7gaym#M*m><}<tl1XuwcK^Mtv
zQwDIGFf(D&r2LKP7YM>QR;bMA_YG-NHm^otaTz<Gu}X1(uGe&N55$^J8ViHl-sTGz
zYV}c?<M6$@Xu-m}8Z(u`)V^LTk?h%3`05c(@kR#GX;$2@!_7?<p@U7$HqV-d6aJ~Y
z*IjM=N(>e@7~cQtx)6EV4W7E*hpWsaBf{-PD5bYBsG)fF;I1U-Z0eoV_dnrnlqrec
z{cshH(c=@k(R2)b-8~Z4Fu<9C(1UFHsK`tW%>X?b=%FzBy5(!KN0Q}+Dm;OF%T*Lp
zVhL>1>hN&@Zk{iVxYPU}Wv%e+7N3R@2Bh|9Tqh=7OO!|EW=vM^eGN*K?ansZh#Y*d
z>Cr2io(s=wft&Lzk1f1;zxQZ|i~E+(+$%7G%A*U#nr8bI`3ki~DXKeXj8#<yM(rs0
zUPZfvsR<!<BY)biUAxrRjOZOWdeK!L(c_0|D;bFKyR!eXI9Mh8SnD_@Xe5dRatjUy
z5ws@Ih}tE(@9RMsz-*&Zx%rwuf^o2Ln?wt}B@Pot6ucz{r)@g+aM<+ek>D#I+0@E(
zNNKEr&y25=*T`wR7Ot4}q^&=fm2jzvCP3k$#PG26ED#~W<x|L#SY1SwX{&^rB1p-n
zFx}QvyZnFNLXtr)G1Glgjo?bNEO*z;T{4$yAEl8LpoIzAtmrj>|Jw1R40!S6*1S3`
zia9&aG}HIJbpQFxR<bs4q9>=?YN#tSHjPj{R^dTH6FzKE55;aGLLO!2X@mW}t50Wu
zaS6+6?q0`ut6AvQzr0&udr)D7inPsmraAUozJJKi>p$K?s>8v7lf^o7pv^@4pG-Q0
zQk_G!9;psa*Vu0?jELyVf#)wO%w2_`HEGec^V`EmAITH3k1jOpeb(+*dU_`DRy0%R
zPFiT3dMlwfj5o<d&;8r$4IeUt^^NV040(UEti0TS%7uNuqj;NOl47|$hAChKVzWIF
z4EDKbGQ?_J;p4Y(lJ^+u@4d{8-OC@!Fhv$%`KBIJ3Ay#RgkqR&J!DN0JUL&YQ>ErO
z#hN&nUZ7}JYf_`9>TO>*aPmmg=jT@U7X>$<bkSM~H1mYE4g64CVL*3d^s@sluX)j#
zX%f$NKkLhpO#?xQRYIFv?+V<7L5%8>-a~XeAM!i4q1k|vU=h5W!evIhB5LoA|L%8P
z+SEKkvIB8B7Tk)M@8zHw5ExiSTLBEuW&{)JTCoF<1QrKMU9ARs`IteiU_}Fei769*
zK4D5si$QBYF)F0hx_x0tnOzo70p9m$MhQ0S(lWOHlA^T1Lgtd{uXqb(@WBb#!Sea{
z!oRd8p5yEY3c>_`j{LA+RlXfP4+M(SN?FH<a~I41w(H>v&l?w20x-((uz0I??;_{Q
zPfO0Z03=4N6YdF=Q9|p&yh%{dKt>-wukSZ-U~*&s^JFsNuJi1f<!x)}L4)$>Thcc)
zDD{65Z9MJ>wy62E^vrHvjym5Hf0gR=+BZchqyiPYB>gi%@_-l?N2VUwx9`76H|;t=
zEjYmw(gwVZ_DpGo)juIGjr4!d^YFlleN{?MTj6O1s<FKEj&HTWb^7y4k`qc1oxBDr
z^1OAKE&jM&!T@ePYxBB|vLov;`@#G&Gq?9!<+@f(pOQu=85kPfvA18xwP5zB&S<H)
zaR9X~MU|MZ(v(D>(?Lyk49-3MwJ39Oi&D+=>18qJ7C6xZreVQ#b;|vuE?>TK@xo<&
zRau#q;X>d<3S%HHpk~HWZX1ILyaB{7+(-09<Faw1BS{DG$wp40TTRWPc*fJ{;zVgM
z!}iBY8cL9kwmyb!(S%d6!Io(({cB$y^OKjmA|oOm2$K~KO9!7}%beWwpE($YjOmMW
z+Awo-V^vve-rtuO36`83w~C;^Ku0o~(7lsqHJ0DoQ*hQt6ebkRVzn}fB4upJ0vRgG
z1NPn{E3>*F!%zs3+c;*-rcIY;?K2-X`S0%SJ8p2X{?+G=U*KgNV>M3z@H|6sDrWoZ
ztDXoESl1ps@}C9#9DB*>QEy>uPTz_y1k6*7@sL>eu4+9lJ|RIJjyO-onBXRs4qvT!
zkF7q<o$!?K)AzNCow3Nc|Hf|J3>;*Jp860L8o9?nK~E)I?7IXaIdZO_rnYtzRl`Mm
zN5#aKx24-KX(z-M=9+i@b8sG&@-@xHkjyRM8T!NOf`DWFa-KevUXXksai64w9#;IZ
z*V8ov`;X0?{AwkvQr(uHeZT=lWyl@3y5ux#^Utlc{b}LGyZzfj*I6a)K+DR?%4Kwg
zbYm=v-w5v&1eLOx(d9u#9ippZJ#$`I%^rf;n0aS?tSasn_I~a>?Afl<+qP8*mWSNb
z^~-`}&JBP~N-wz^>r!t0yio~s@PttkRSz60ugz|l=qx_I^_e+U*(r9)@~icX9IVF5
z8?-l{5V3E5+IHKZw+edR3t9qX$L4Y|agS05=h?SUl3U&QzH<Gg%a>164G6|RJKXvp
zwPtd3Y4AF3j6h)-!7`R`w`pv9L@qs6UTvCuRY$)#_fUkCLb$r}cCTJ5&K!SyV%ik*
zU-R*}=e)*|3!@9YwLR)jYpHJ~9jBj9IE9~d+Lo~hy7x%Ujfv|frD?Kxn7YKQ!bOZv
z;)lFlz&v3OK9*<-xb0xaNsSsLIc10dkA7);nPEYFg85_`C?_Y5Y33<9Kky@$zXxD3
z3E2rpQ+57@Vdm+R9UUBwey%oMzfx|O<C;Tl{RWIFGU{C`XWen<ymN~~;x4tB<LY@A
ztO(+{Kvt^%yeuh+MvP*O42h9^bbPj&hOj?9l^rN^)^xYW{>-Y6hZVQ|IVvux!~K1O
zb7}z=L7J4fxVTh^Q6jCXGI$2;@br^8U~S`@l;Z3)6eeiQtL5;DOSK?l8FyOP-hhCR
zp+*%vxxjpA8FNPI`rdB2dT~Le79F2`T>;r{H?U{LDh058fI43#ypvgb55uXwZF&?D
zQxu2OM{jBehNZf7k^jN?k)JNSvPkVQ(XH3${VUI$xwIv}dhwrh3R9u*WG*fCLUS1L
zWk7NlH}_e+Hv6Sc4_SxH4Ap?5S*8h`_;mM?+)*+{<*e9_lm$+(=lAvbWHWSPb-T?A
zhjsPv-96Jo_HlIdC?<~dL}C^I1hWyU%#4ZvA$quCICXqQ9dqeE4}!%O_<g%i>W6Pn
zF7ZnmxhHculS56FO#{?%Yah(z<zwNk@!<LM-sr*@e>Q9iF6m7r>DrBPOO2Rglg=0D
zh;j$NFnK_T6IJD3_$wUqlWqHsx02Z4Bsp<qw;pdtnC{c-?>i~Qu7b~P>p`7Ag=vuh
z?rOIhxEek1y`{XV9fP(zo1ZI6_OKeg`JmP=$FT-_=Br+vmuCw9ctiJ5ii#JYfzaP@
zOC9N$#3+egRe({JpC@|Od4`!T@ox*7tyD%SCsq_uL98hDBGNM_o4`^F)fZdK?^E!a
zTp2h?+J0Jlcg;_$M~z-^>9p2CgQW~ggniMHB}*tiQX6jz&DHs({>PRtTXyI1fEO}4
zd$L}<m6qx5)k|)Y`)Mu59b4GH-5-<Qd8td!oqQ*j_aTcS?YcUb?oiAMe$tkDu8D)^
zl0Nl1WD6lC1yA|Ys7tlubjPQ)wtV3IjJ<o0$edBE{d!=)pP;8qn)?W>jmL*A!$sWk
zkR#!7Xpphgg+nY3f8lGnXFYnEgbmO5qDQzdnzbsejNVCvIR?wg9W|k39n;*X1Ww4m
zu3C_=t`mO{v@E7u0-_bZQpaXY(b76D@Hhh8;!c~L{b}zs63k}~XzcuNi2g&fJ$4zG
zI_VSyhISVl<=_QqZu%_EF%)P$F^LBr^7Zrkws>&$!gWvE)%~(Qbke`cze{CyzMS^<
zO+k)RwYB8|ONoeattZKyU|jd!y<2?F6AIYKhB+#m8JNse39n}z9CNbkaQz~@hTsG%
zSUr3&PxHAkf9rw=Op<c;RNYoGV}Q)PebL@etX=oEWrG?3^sGnh0%79-$Q{V%pC7$!
zWUg|0X4L=exvk{h4TJq|4HH|!2$f}DzWgcPS`0CZrZ$^=(@pX1tJyqZkCwlaaF0Rb
zv|_c)RA^4zsV8dsYNLcHQb>qe(>sH2znK->C|B8RI*)iKfG<MxR2~HZgu3DEj8%gv
z)8w?ACfpn3U7NmtnAvhpWxCdHE*z8T%Ctmdj)$1@g40MHR{Xs>0Ua@BME<ZV&trVI
z#><2iCp;e-dzGhLj?}rk{d>sh-roK2x9paRycc-xcld?+b}Lf@LB)cMeVR;}zHpg~
zpNXQw&qPaQ>(D#RO1anCcOR-X(JtaELmbK_Gbg9=QBpD35QuJ^enFTVFPhwAV5@GE
zQn(gJf-%5jDu2P+AS>ow`p)Q!!tl{XtH+N8sI@C@MAQ46$L}I}Wc{xTJA7PcvS{;}
z4OyOCJ;=p~O3(6s&b_ZIHhq7mX*cgEAz-<yD=vH1I@6S71I5NK2BjmhoxW4Q^C0BH
zKx!1^IQh&<(rl{XC~y1MwBclfx3hmlgslAAYcqe=cg-y<*B_7txj|UZ(YKP46Inyy
z+w2C;y}fhieJw*Rn8Yq#Fls35RA8PB8#m_JBz@!N01K3?Sr){S9+Ki<5G5Ky2N#zJ
z=eM-mrJp{9u9;xE_RG7ZKDnPI_Z;$BTp(XO9QF!mD=wPsT|IB%)gR=JT3|$@w@=8$
zS?6WV(E^GyPaLsksZv1@m-wiHVSwkWm&<$DccEzQ@|4yXMvn(j#?|k@{CKX~#KwP2
zv`&!?EmVX9U3Jt<bqd{`HBbr&@5Tci^2RboF)+64B{BR}>m<?xw|87#8MC>E74<b&
z8&}g8%rY@4rT#6xny0LJ#4a=8?D{QRj1HY~T)X_(ip+#>e-8u&C6HW;jr6Ky@s>%p
zN#1ivE_K|X@IFv&fuB|+4Sri(yz|u+`$d;miYSi7U;ey{^eiLriGKQE5d*=(g3}Xn
z)&n(yX?MExyd{jig~Lbt4lGKk$c@L1=}=^3q_g${HmAYpOHOJ@{uo$w!lqh1z}QT&
zH{{N=H77zQUcG=VjjCz-EenApUB5BearrRTK&6e@YoeGtd4+vvC|oRHbUM-NEZ9%U
z=I^gKL)LH+c>jl1ge)FtQ<jh4H9eSY?&j~`zF~nl^>D$BVIE5XWa&0i8n*W9jK)oJ
z*P*0-<=(<V6V8C0UFE~>AtpbUy!u41KN4)xz|hb+WcqwVkoFm|`SO&0axLNAQrYw8
z_k4xFo1f;2H*eoUU3R}RzZb0l6$N#Z!du06B@NqN)c&f?SJ^C9v(nuOW)t_!sd)0p
zk?|G{i@#J?C+E%VCp+L}=)G?*?!T71Xb>7V$x>PZe)^#}`*0hTmbI%hfd}vu&7-Bi
zL+&reLM~!Ww;i{fPhU_zaPEqCW7oa`;p299Up;H?Z>*0<Em`am%Q<(u=1OCVRnlqN
z1@2WxE+&v?fPS4vr!E!;rzpQmpJ}FISaK)kse<0-&6`;@;MaQ7Co<>4FiDz?l(4f^
zg=Z2PQ~bwAtusvud*sA$v@4)2JG=w&Tp(wB(O8ju?RIN_3PeWw-RAfoc=W5}vqoI!
z<;xF6h6=LOr9FKUm2Od}3Mc!xbw$7DH`~JPfEW%>LJ+>de~qOj@SgPDyVp3Os&C^q
zev#xZi^QESKf{aW*?2wtF82YZ9NtLjxm%UP9@Wc_{Bs4PZzE_>T%cIGEaBM*6P-;~
z5lIe5VrTdN;dxrMFx`Y*gf_BkqtoTHM0zA$&=YGLcdFfSqGY0HlxH8)_tbEo-`||V
zEny6F=zk`IQ`eXJxLz^|7c3CgLev)rzr&)8W6}S(D%?v;;}5d3g!XoRFV75<l<3?E
zc06M+r{Zxid{NB1oY<+oo4Nr5@cJc+t*aFfIs&FIXGbU#G15s#zz;`SHt#Fa7hwxg
zS?eq+ev5hefB_3uj%kgF8AdtV-g`}2zj@JYZw55g|Edu;dBYY*_L})Yn=gM;^MiO=
zlD&<sV2<QEu``cV*bE=oz_<d)0F)a%p{gLt5g;Y{&uy2c#C|W|#abxu3vM&{mlIsP
zwz*Pp%tuJ-NBr8;@b(P1>6TKXJ#~RV_u-ixO^Mvb=nkAK_Nh}L)XCD6dDR4%FYJw`
z{}p0QF@b~hfp5k=V&PP-4n0iFBD<nwZ%W<na#Ig6O#s{U8zu=#B;B{K&C0h^$!!lu
zS`E?m2tC(N^%`vr0$*hG58l4LDXnNz(PrAzBs0uxs0{TWjDFD~h7Ywd()H{2xNao8
zjs=v?gg2qJ7knvtxfd+dVQhFG`~&mPJ|m3&>4%&$tgEj-Wmoe-NDvtv!0Ru}{>;hk
zW~js<QhNWk{=KbMj$Z(v70`F|uGG|Zu?Loe*r!!_nQZ!XNj^(h+c5r1&yANIGGs1Z
zb+MXXy_2v!@4&o4&~+H3kf~%iykeuB=#{C5G}gSCm>ZtP*ejS>^`&i(dQ(h-JmCUl
zaoQwAzo8SpR5R+16s%l+a5=x5%uGG!cl8j{E~B$?dxL9UsOHoXzy?fNyZC&)7nlB|
z&d%dsJMCrc*3W*;u?rwefH3;BdQgHA2x`KYm#H!peM51snNrwA;r79dA@QuOk&@wr
z$?A%#6AwcIsskvMHA#R#z&Jntqyd5hn`LJA`1}yiCwKPuS1xy_7mTQy{k1I*NM2L}
z>>p*t2s>Ar7MwtMDl~?#UY+62YBmD%e_nT^aW!z67zWc;i{^}s!ag(BX4t;E(=rPA
zDG8WgbUOJ&lFg}eae>D?Hk^w4P*(o!{wcq1-4w0;$J+z36GlLoUjWH;_%#44L|Ub1
zQzo$8&{s6b^E+yef+3d8q_JIiTnns2-G=s<BkMyJV#daX)Z)R-l%8LwENQltmY{aL
z3z-KAP<uwWY{0_SI}dzI<BHs$rl#7r--;FQ=P+}VHd8#hXkn<_(BS!spJ11D%01Cl
z^jDlB1St>#xRp|c(f`An`(2|u%q&c8{hfAyf7jT@=->jz#;X(Cr)_5f9zD8ksIC_|
zNP6(#*#M00-x_!h$KRw5%#g}3HCqCOgg(g-1AEHZXUwk<X3L?7U}>3kynx++JuWef
z*tF@FbiYZXVi#}L4~#IFpypiC+R|xDeF^mu(=@y~27nkcC73tN%$TGKyVAgIrGDrf
z52|k}AJs#`g_UwMB~Kq>#=o@7(iFUukq5xA7mwZ~25_7#SZ_CGT-uq$#S^144($RG
z93|RJJ|J-J1^}kneOdzy6qteKa*CBLFZFd;qWygE>OS+>u4TP?ZOIMWQiB9h)Bt(o
zzyB=Jas;|Eo6_mNyu;2RM-5KYoBZs~G;xuy=U2!NeALsVQD&$;<E@UZ8Ybqu5b$)}
z<Dc$qsud<a>JTi~S;ck~W);Gfoe>y)d^@B!V#v$|OMBM=v8@VH&r`F)5{C7TJzF|^
z&w^FG$L98i*hS~UX<|+dI&g-oD>&S=kNsbF*oK-OpH7pDst2FnKd^gm&!qQr>hqw~
z`5GvI4)$OX8x~qm3jXzY|NgxoW6_ptHlDFi7OM$FsYMUoDRd61qZ6rflW<pvow+v@
zG>ryOZORlZ1DP~;fz@>G!-w1eZb8{qx6z*e+V$R_+`1}7$MZn*L+V>5q?I5O3}mYw
zZTL;##Lt{r;v&I7WsxeUSTKM8WW3^S^kFAX{oW@my54oJqZkmXe;zTauauvb)mr9O
zn0O9Au*qKV^Yc2ZdoChthNPVHCjbaH6o^fK@?Ux_;e`?>T%bCLD%YZ73RAkV0tswf
zY;A4*^6XMW%Ml|CYG%gj4O*$&E+l9Ou)U4(sLF6I`MlJ5MPD~Vlps$r=uD$a^&GD#
zl=K`^3#~$*ge8`RtNc<^d*uYl=h=C;<2jESHq3{UA{>fYgD6N9Olywa5S~jsTfzF{
zkun#~@YIB{S{%{Zd|b!_g!~De9Y{w<R;N-}(Mvev`&oQ4g>n3W0WXrQZ}$B3svzb;
zucxQF%nx7AIG^T5$zC1WWJ;K8uOZWqGEK9h*c0OqcX#&;QMbC#d|BM@zVMgt)fQ;H
z&ivz_Az3`4O0N0DHE#~ns0oBrEPEjC6s@6}F%xSnb-lgLD{SMZJ_O?edI<Zk@;S+S
zp9V$_4Qx4d&gyC@Xri;Db)rDz7x$A-#o;ANYs;Q4M@padyY4YCL=xaxh#=({;R&9$
z=-BG(YU}Ejf4Jo#q+T#ILZ~y)T%dArfQ2F6PQh=4b{hoe3uO3XYp2@Voz`_^fwdEO
ziN_WdEXh?DT|GeAm{`$gzk#5gz`_>3hhzfUk$;VE*NG}W=iG4`H1bn`Rgx2~;3egI
zgmnnuwh>WPxa`Jkznh+(zJc}@JNk{^;*dTZkk^*_xMbL3&92vOStKX{{$+zqHJp9T
z<!p~H$gf6AHmyRTr%4r7_{@6i|5=GuMZ7`FHGvuRek->AKP+8$JlFf%mXJsxgjBLJ
zE2BiRM@d#jC}c#0A|-{8O=Tq`qe8aKD3r1bg^WtbRziugp6h*n&p+pNPN($!em?JU
z-`BdCj#S*vPu>aqw6VLa5-=syb5K1KuMaU`1wdhsZVD@f0vZNn55xD+^j<g@h#*!g
z0mpEmR}}I1I6?6N^Q<O$YY?S%rr>N%BKLss&jf7Q&(EIP(`z1jzAO23P_QK=sqjo`
zmK}Q|$qS4ZbFJY+Q-qJ6C^4`M0VQLYQv+lI_%?NK-XL==n=|v$E(5n&_bpUPO(_15
zPVJN|_68YugiuEBMIsYW%4XrT0UB-vA~Wg8b+(&8sU#qsM$L-z9gm0Tpb-{ipL>}c
z^Y$sSAox)Gk<97VswH$tyN}1FrRSY^L^F?#vl-17$t6PeBbV1ZR8jE7zC=z400f^a
zr$yPwC^#Hqk(kdt@gV?qJdC?Y(prjc86k}(Kpr%jfss$e*R3mH3{w+~r38qsc+0`I
z2d#VHCXOiUqc@;gBH%SXTCnOvEsIw4EJ!E=?5>6<>t>JvDv2Q9ghxfcI*k7$xnnM0
z<$=@@11Qp#p}ql^uLS;Uf8*{gU8pbs<nqGFiT#knnq0u4#P|%;TOn*7Xsx<VRZYit
z-~e?1w{A|x*49>S!o=Yo(uFt@2vpHKqkYj$Bm)gpF&Q2mUq%L*_4MqA^yc(m3sm&}
zKtxc{5jM8JT8C+OssSB);(guPzEB+FfRA?o@{D=JjN0u#j;hRQeWTQ+B4GPSEr4Yi
zt31Ja$GiWZ3I{nI9#aOmF|tw6W}UURCR98w7oyGuz&s222=r^wKU{b*dL8&6hM*99
z5T=I4+2{W_(aKTdrWzj2`?M%O&o3hs^80dEao)-2Y&bf}v~~oG64q>G8k27E_{jVz
z+;``)S>RJj%gcL*Ja6nKwcBnDVD^a!28b4VQtGw1b&dKbDVUhEVuWM4uB|T1px=bc
zE*AI2m`58fX5s<`glJ>-yc{1CiY5LAz8>&ccmqYq>m=4d2!n84Sp)un&xZ!IDi#SA
z+hgyQe*o>N937`F)U-gWLDD{O*O2M65D2x#zET7ok+4sn++Fw{5>EA-tl-x@bx&FE
zGfntvb8QM^*y76J7$%qZlKT~PG=fm1*jBi1qw>Xe#nf7LAngFYQt|g-v_&%dXrTDC
z8#jU#+DNcpL}0EbLmr5S8_0OqJ{Kj%U{G@?AxY%hOfW4Y)tgFB!Mx_1@vP(HN(q}D
z@-hb1sK+M-!<K<s@-nV4oG1j6PUb_g0B#!9^g3WOkZurlApDV!abyGcp#f9?d2=Ih
ztY^3fAe_P63KH}}<T{YWC}gdnJtXfDhZWKB0tq6)Lr~e(V+j-Z6lekQYTTSmmqBO+
zW@ZqB3^5?$j7m9F0tk2pu3KoPp5Zjb@o)~>$BH@se;+U|NA|V%YWy~DZ-f|WIGZzv
zCghZjM{i~FqV=EY4%Xv$1}XibGQ$QlLeM0>f|_)P(D$jS7D5g(Fr=e~CH@t(4;V<(
zIR>_zXxo$JuAxaLZ;?C)VZ-bjMT#L|VJBTiu-bU<9R<(MGbKS==cM?RHbyfzLYaA<
zO-(DtbQYoHM4*o`d#lmnTp0O^-j9Ub0NYVPO^Jp`7dwdfiKV2lO=Hni5;^JBtC+C2
z35X7PWVlZWIPJN~ZaEN2tYDnl!2V%zB|cMB`>1iZgT%ANuuVL$3M>XZ7?KDK#EgWc
z;qm6MGT`6?B7uHu2>*>v2N-%Q<+jK*W~`FII40g1Suf74>fNr#&AL9P<<XzdV%*`&
z_x(U<3?Ffno0acHllZo%2DJxDZlZxg5+Dg<!tTIGs4!r6X!42B9~URdy~7#-K}6!r
zQCj)vpOnS7!+}AjV&gzj6jc|B;}tJg(tAO5f4S?R_~zLq-I&2wM@vg|8%M~eMyaX`
zB|Wxsrx)U6e!;JZyptwisyLv?0C*G=B!Ul+sGe{vvX9uHlOX0j1haW=D#z}_tC^qn
z<)$UQ7dDwIq$Rl9RY-(8#&bd>MEs|C|0I^&*@yH%7+Z<ejzWmY+R>h5Z!Lsy7==d*
z8fVx%x$zzFZ=funxVUapeqG+QEwi%@AI^GVXOhBIHsQ`&lM!k5Y$Nu57BBr<80Xpc
zjG2OO8;cI1GN6lwF9c>y0+$oespb0;uX?y5thXqIcgMA4f#ilp0Jj0)etbs=78!S;
z?-5nUq;dPH)Z8zW-*bGWw&p}AuPaF5t@fhXEweLART*R7D&K0?(;vhLB1pCkglz#K
z!DG4mQwX1RZH4E2wx^moJjdvu@q1-4&K!3){tAN3V%ZoLXvJ#sgT&5+Se8Hqx+Ar}
z=H_aljRPoM`ZXB>S9NuDq{+fAy3TO+9}FYyAju27=Y?r0aYw-t#UCu@q}S=XZc5^A
z@70t=roB6SXDr{o3oE|R#9YdctBHZgOUXocLXM)wz@U|;r^zE|_~1VQ2z3_XCUn_g
z>VcxbLi?mlcxrMYQaD;^UR^gmSu=iVIS>@&`!8;^XI=iMFW~@|HP3z<b^<I3lsx$3
z_!4#y@b;SSz&FB^w#8wC&yAxIXz1je1&4JH1QL+wqC35#BPxoc(|C<dvU&m9Cx7h!
zZzCghxSgOeV&~u>CJ*RbunnOw1G&FQ!k7+UxsYbmx>#@s*1(m2Tewf~s7-(7`ksB0
zFZxY6oy=*O+lPL$>Q^MiOJ@8+=*5kX-*NEb4q?Ss#x<#m4^;f%FiuPoTZo5f^pgt8
zTI619fvW~`jW^Tfar~HGlX0=o{c}&xaO_%tC*Sw0*SyDi5TK-&#yyJ0l%mTSHUeIp
zmTgZB`oX~wDFbkOJVs0nz+;432S+uIC>7{np|^&j{_imsVtyufDb#XCB2M^cJ!o}w
zFPEl2%K!#zN80P#x0~=_fy$yLe+7~SM;?6A2{~L3kg{>?hMwjb_#ob$KJ797!~dbl
z)xvl3<Gu@N7uR?Uasw9U^uD*;JJ%J;nsQ18rv#a+2PHHRJDX1rKp2xt{>YItM|xo!
z#KD%GUu}uRZ<N44`xO{9`*uq$F<o|xwBkF$kpKL3m<B+=2dMNIF?H!EpE9N?;Llsx
z+6E*hnk7&A$$QM)1PVZ64j^(pj!&hZ#R7{6y0yac^0pF|9tcf@%wHUWZ-Uamtb}N(
zQKiEs3IO0OE=agy#2|NhgD;6Q>?Gt>T>g61Y!brfNC!MwVjy(9S13#9*v0un_-@1f
zGMDwYMrQsuK#gsm`CByUT}&^@xr^;4bMI`6BK)ylOIM)9&_H}1A(%-9`sAb)*pTU}
z>&KKsAKIqmTI8qnbIDb$mzE=HY0!LnHM#Ti^Vp`sXb?cR%IR!0#7GFt_~VD=8$be*
z0Yc%_#EZeD1X17JiL#G?fJg}oiGFs01V1s+BgWkk$C47H9hE20*T6^jrnPl55E8)m
zt}92pC%EKq+)u9ZRN~OMwX5=`_CZ#0s&&pOdOvh;)hMz2j``}n6oCsqJCXR%utBgz
zIq*G`_N0?mm~<`x2X!B*Ghp>1N92^5nOk2=n6XlU-oYiN=Fz0N^*0N<gIlK?noHP^
zRIVL`zzGExzCW4#iH`Y_yL&q7y^4DnWh0JD9l)vzZf(%5ShO(y3F51xtB-GugF4m<
z6e-458K3$3kIXI0T&IcN9QXpjg;10%a0t6Yop=dj&Y%nYdcmMH&?RM`X4Vp{w7q4H
z(#@OwUoHQVVoG6Trik1<&`I@%IoLC3vGYn_sdF8?&o^t_UYtN>2heL+GZ2Oo;`BJm
z_Yg+|2`R-M!*dS=bdGrgnQJ$FA1B1A+V^Ud9*HxfT9==!I5)QuVx}}?g5k5{^Ju_d
z2A46$jPot5tki*mB^ePoWLn+xtDu_Zrlmw<B7puIst^gAM#g#izxX!5PKayaJ$}Dj
z%kKjKSJoMtm#gncbKShrC3@??^tITzOc&a$rr_HbRF4MNefnhfpyeGV=OR=A)`sLU
zvF(rope;p-MH(F(VSvooWjv({YI*c7bJEbrY&dtLwq?)7+5IF20)N*{;f7B*1We$&
zuAUQAS5w2>#EYnB-XLGW)jb6%h*o$h06rq4qH3W<0s?l^^YA~MtOTM0%3_-!J!?kB
z8#WtebBmn4)1G_%4?V5Y#%^t2YbQbHynkzTukC|gSdQJ^fi8kOu7wQeBZkzT!olJ*
zp`Y)HYiQ%z#q*_{LE@L&%nTDE%M6XCUNG(mS?o0OeqwQ_w`PTA*v0$b9{f2>+G55K
zF<c*R?kQ-1Yyfx=kPUkQZ%-AyU+4QNNR|PZaRN970%9?+?1i&R=!W=pJ6z?E%ZLe1
zmAo}cTfcw5zDbR$&lkUI8)Mwfvb<u@K$=u}9so|>EdJw-0>}crrL`DQlPGL%GN=k3
zdWut}o(InJh%0wEUpqOjSeoAbWW8UAP}n_DOoxJXgm~l71igz>-k^&fm7sChE^ZGZ
zj~qB)cq9^Y=?SR)$%Xir0Y>A3T}U(>hoz5Q+?C~_tD&pWxZ;7<l9DxVrm0C@DSZ<z
z!e?{S67S#mxIGeF68G)miah!T{!Bl({7@NF8R*^Fx4fb!wIcqLZinLEN!|A$^V<)?
z7`Xuy<X?DTF#f@(daHF}Vj^T=RG5rS%1$@;R)vN{Fh;mu^KjP;lJW;&&{Hhq8%@6t
z?6(=$9hUt^t8ls1JZ*g!W&1Ps$7``h$M^zw$v$d7U^!u7)&nq!7w;aAXY6>|dSWIa
zYDYA*-0-p?W8fmpEL3CXt{IP0Xo=|_v~L?Z9!FFUkYj=k7=S($)z=)qwYqjA)SXvQ
z9Ok%5IMg^eI)Vm)<ash%3GWgqe2ImH`yr)!L<AitZ-{GtDYA7w8fvDJ-X|mdr;5RQ
zORD*lj#r9sm-^|?2?|@d27vStMH&=8lrj~d{m7(VoDGBsEO+i#)q8F`U3OYhg-5M7
zbw`1DwZWJHPD>^ba4qHG6vXAv$2>SO5pVq|{Pbn;&cHzfAd(>Imh)@_0JVv266MOi
zyIK|!Xg~SnckfI)`#foT&6a?$pjTNFnQdRnC{M-M0L?@3@E(mXnjtkb)pKHTI7o>7
zzM)|QO4L=ki;T_P6gl5l=8DqIw||J$gv5@t1OfsA)cJBGD@zyf^y#s}7IqgXf>F@;
zWAzj00fK!J35oiLkQraUmv!TVKl2=+LnfV~NYKNX35knesSnyJ80MB-*6nokZ;ReT
zl7c|Vqu~vse6B)#Y^aF9JiG=%%9waxd7jeXL}5W-Po>n-n%qmYQW(ritPRu&L3z2k
z#Cj{^_3v{2hfG8pU?M9lN|sPEz=%QMWTMSNI0bwLBS1!}ldnQd^<j}GrV?-O#S866
z7jsw2N5n(`<rO^08X0T-&Lghb&`0z#=&1l%29%b%`;JT@o&dc=_T*+y8sUaPKg*MB
z$Hd)Mmw)M?TtCUp&%GY(6~x+|e_s}T!%2kqeAdN92YecI!J|NSNdg{Z_|fDF!=XER
z-+RPybm5(u?!By-YlW{An5gy()9`<nSnzSk=+l+}AdEr^Njx^&FW%h_rFu|&JO@#^
zzu(ob5?e_<xn;+Zm_J>IE;T<ufdv=QbIKOl?5}nB(P)_)%P@I*06PHJp(SjgppdV@
z5QhJG4u&pb_{8#f;+0aZMn)KQJ`;>-4RALQ^_}Zdl-@d(=tRv|uhxsi5WLy|iL0RE
z!U6tZ={2D%(lf|SkJ?=mtSTtdHIfDF_Rg+M!~|4i?|QHm@-q@Rg)(NW=VL=d5D`M>
z<()vO;Q=Qj?iDgA2r4^Q;7D9vxp)(tO?<<XYbgLfvdgSo>B1?VxpNLrv_C#R+TgT9
zk+D;rHNY2UA<+JdRUW<{GA@kj<zG|cQ`RezYqMD7j@6_;Z6>)M6$Eh&goQmi8p&f)
z_6svpg<}bf4e2TxFVySp7$b^I8@E`;Nk=T=K;w1$UZrcaMp!67)|A#!_}1dG+S|J<
z2Y6A>;7S?2zWsX&>Qh9t-YzefW?s+Ba*o>KzHYPcown(9*_ZU$ZGM0I`7_07FPULN
zPBnsNq9W;f--pyD(KD4XSAMvj6<cYp@LZvBO>~uUc`i`*dRDAGTbkXDc|Skfqe7ve
zuVLF@gd7%X<Ufo82zZ$0^w?mMAV&Ml&CEkOI<S&vdMH-Zgc(~B3W`|U=l>Jqgd(2-
zUMT%I+8oHA(aRdf{q0B{G#d`nog^$FCns-PliksKlm`+OFBp7u+7!+-wVg*t8^u<B
zyG==X`Pg*Tl5YOF!OQmN)S?y`;2Jn%FTdl@pX?ARWQMhDyNZx%91FDwZ^NS{y(J0~
z)PmZ{51nhyA;QIQP0%^kOXZquPs~Y^TcyQiroy2nOk0O6#=rf*DJLkIZ=w5kwYs}D
zsu;Ko+6NR^M{&JNI7RCrefL8Y?jH<Sr$>a03Is*}DN!0{(|IB2AN;vt-YxBg=HvD!
z>sgw3BDUU)KX7SvOBNzb($ZOqptNA5QZ+TDRnu~l-@T{AJ(5M7_rSDD+S*=-^opH|
zul_WL^@8ARNZ!J-CBuYaO?cQOojI5|h9^YExKG%mr0>*K^FM#y&MAF~9=rwL9=6af
zKC+8r=&t<{qMfU?SV%m{8vf$$;GG!5ULi2LQ8koO=-^PuOfKtv-O91KV_0g`T+S%g
zZc1KY>58nUV2pCw9q9n&$l^6a=f6SwEYJSS<AA2rY!n7PFCt_Itc6{$v()9wf-10O
z%>bUUS+?!e4c<ZdHBUw>a@)JsD=8Y6-yP*y-MN*=>CCO9)0VC+7H+m@@05dk6TPDV
zOFp(S;&AqC<~sC}R6mjeL0=1K7``%E+|tj?$)TSs`M%vNJh1+OK^DL3P(ihggvsus
zL6!R=Plew-VUj4f+ju_uOnlOdD5lxi-jB-aL&hW`UnvzQa6lQuLTQ>eM~0o`Xw=rU
z)3$|z@oq82atu$O%rqpT%g+*gJUe^mdTf(TKn5d}66Y#nN8ppj+5aAf3Q^H;w0S;P
z>2}PN^UFV%(ath(`gxV}URCVo&bFfcW1HuDPUxKc8_5=^HdP>#zu#wDZ-g|~Hk3Ai
zecXTzT_`_~LxJrt4<$d>jvdF=*y*!+RS$gmZNOUAmR+ezlhq{1Y|uLg(CCc41PCCj
z3s#ixdk+VUC5&IZ{QEbQgL+FhSP;6zO@T$d(liDP%NjfoF}#yT?4jyLKr%6ze5qfV
zQOIZe*er-z$oroBWVlX7hC3wW&6}QQ?G1?#8Ag3S%`jK1Fnz!}i6sVhCB&8}Y<Gd2
zl=!`HvQ%E4@Cys0hZbb<T$IrmV$Pg2<HX`tJi<IT1a<o-E49)YUZ$c^uSaB{o#}R2
z1)B@!g*$BSvK!BA9+?od{t6?pq5U@o1M3B!1~c`QA;?<JIy#a`uEGB^>9cPi<7K!@
z!(btf7i;|dkHvW{<>JNJpemZU>4BuMggZX-_yb|(<yX@h7jObW<|JgCu_<b%J6koC
zT9xZhf~#!{jBv>87Nim~tPVlM+$$93Fq`2>L#=-fj2QqNlJE{35x9XUq?iCip>C=<
zh}Pw4VUb_E=nc1ryoOAzKQ@dk`<>8M<k)%)eg)j7Vl33ioxpKZSX!z!E3R%Bn3Z~q
z=3!3e9l&hz^77O_@6>p0g`F2>KHSSsF;J9Dq9F1L942HOFkp=O_V)eV6FSvuoSivK
z-Jc^vm<5jOMHI_NySAzc(gwdaw>B=@gp!v`RMs8F{Ha&9Lj{`rKZ_PjT382P(Q5Jo
z>e^c}d++Yum$-HQvvXvCE+Uyo=Kyk(S)AZE$Uq4c(5QpYr=2$T4=f1Tr<_HsPgfqu
z2Cq!}c<V9_%pRDjh<*O~qR!9M^t{)&)kwRGE1&vaTSo_oGBWopbn%qofiORyjuLYB
zpEMFD4PelHh2iKTp$7$=P0|nSJ2DtR*S$uN7n+f$=(ovCOe7$HNv#LCgBycwvC=}s
zf5T?gx#qE-!})7`!vWd#Io^A3_%826BZgJ`4b@n{+=G7*8X!0s%2R{)Q9f#UquT?x
zlD}#QGvyrrV5^$Sb_<6xktINVX%F==zBV!P0?jCdLjkkZZ^A4|&n8N;h7b&w`LcW2
zl+0ZV-NM8e8KTg$v>*J}<BFNU5L$JP9ZJXw1VFK6%N@#=dzeZATnGu3Y8o2GhUWRH
zY%epf-nBoE36t;8Dr35}XkiklB~U0AF^nDx04->dOpq0WS3;gW3erGmL?D1CX>b@=
z&*WP1;$?SN>Y(Egj$sOc6G_2yKSVsfEll`syJJ}K(!txj@t<V>qEe5egUsRgFz(>A
z1@a?y_cW17%D7S?*9S^AMYt26jih_(jc!odC@t46x&JX#DTGo0T+GDGtj{fTXUAc6
zpe^oGAJg#)NTwH3ogSdIC-y*4ea{f`4qXv(#3NW?We4@Y9k7?waO*b?uBPj3x%I*z
z{j$9@_n0=bLhU!lo=?5+floo;3AjeX*PIW03II|PxPk9^DOXo1_QK(5mFlJ8*#mde
zNrqX{g9nH`8p9+1`*VvS(_fTZ1LNaI0j+Tyy2uR}hv-D`fM}q@z;%iM3l=2YkwChy
z^B#`<FJz#o&G~#ZX033vzIub2?C*HmKAA-sVb+TsTdkvc2(*khdI|9rltNlKlo0jB
z9Iy4qIAWl0W;Yilo#h#N20v-<LtRhEbj$V+ADZ3ygL9F#F#xFIG0;#XjwWI&7Q*y%
zd*>0dHsE(<#$zUuUm#8-K@?~ko%<BoF24JCbSVk15zNngOQeCxyM*#JPxdj<;dD)=
z?C~V84I!6;^OGr_-p8mM(yr;@oCSNNg{K3eSUuTRUpO}R)Kf}aqTreY;cUidhULrL
z(Ehp7^B0F%u7AB%*d0?~6hXv&NSTCgmKYnbrQ3{GA46PL4DO1EOhAkkRhN`YV}}sx
z0Oiv%d3jct{rdEwTF6}WI{qK2kA-(^5|3p3E!sfq$l|IRcbmI$gq#FGq~M^VR}W_=
zT{HWB?roZ91)!m1fqn|GiW-gxLQ1-gwyIp7-LKrRyH`W)oVx0Mxo6>NzUy#5ssRWm
z1w2S(eLUBi^3QXMuC5Z$JYW{<J#_KA-__Pay>ysNj6wSY)}0T}w5|J}5!^@yf)>ff
zJ9o|uFn2nq$=+RL+Ihy1zq~bML)@Sjd+b#Ae_}fUfe#2MB04zKQIW$>FASoigNOG;
zWr-z57D7n>Z8XnJ&^d`RjM*}(;kQ6jNbufWYK$R-rUN%h#$Kb1ZHHeN0c0uVtBcPC
zT(K2u)>aRLD~vA-3k@AYKZ0IJW5=bXBW;&Bt97c`kAFdrv>#BKRp7s)pRYbKDqPsB
zTxF!YJ4o=|vn}`)eFKX)9svP@u|XI_YB!3Ewxp1h6pKGz%UiG^;BX~ziQsxF5QvI1
zcmRv)(BZ>bxqHgnZd6XTZdSUvM|$872lmD+5*e@;z=q#@Jj`PL;zrZwYrp2W-b0~t
zSfD~%U5FO9CRi9>9GbXFQerwFYu<wUVl*?wo03kNa?a5PtUl7KPFA?GzOh?)z1^p)
zEL!c@Vw&5ZJ(=k|vI~2L8X37nj4W{wlgtZnD?GH6*oJSr@BJeoO33=6`2QdQ0GdhU
zs*DIzzA<{|yMM@P+*RLTou6qJDvHpE0v+}TofWC4_qf?6JmpX%nD((_^~B8HmUPTR
zm1@_wtw51$F~b}uJF>NMobiKYKxNbdu%cM)>sz`a5;Ob;@CK;*R7izpX6QcGJTWa4
z@G?+)p;=^NL9ZFhvp6FGp)=7!l3Y9Dhct)}CkdN26CdQvf<a5^MDnOX{4ofDJB&9H
zNTvEc|GQAolqF>8&kO26{x>{-dVJGPy{rYEY}Yo5H%xQ_H+$VihkM&h7^xs{t0hPJ
zaUGHY<l*5#OzpT?I(>NvYmeAw2tloFY#z5#&HQg&s4AZg&|$qvICNN<Kz0)C#nwF)
z%sV+Yp8Keq)BDvZW{v*{L-JQRL@8zaOdq${#LH%f@iU{IyjoxmI+?G5)d@EzI2f?f
ze8<1?qQYj5j$+(auGCvtrODA4dSCF_;N~<XKt40jEodc%@H2xiGuiLseLK<*!aqDq
zqXH8ZkPo3+0+;_cb%O9h#M9m1pA5<ZHzvWjfkM1}a9H}&)QvEZxrFe8z@GHHt)DAC
zSG&`TYG&nLDJ>G*#V0rzp)iz~9IVg${^N&cDUC#6_l#5y-C3`5Eqv-41()<~U>1dw
z=@!bN><^<@1V|2pq(ZQ?MDO5t3R@A|GtELWdWO{BCU%5}M_}Y%TS>esnN2BicG&|S
z<Og}-ssA4AJzWwE^{!!msTMIR;I2k87ZcJy5$8a0U(#+f3NEy7BOVVhfZ)h=SJ;v;
z=cW#tvR62(7+H%I_lpM@c@>o{`p~M}=-6u8vmGdOQHfkgofRgZoO))t4o<A5k`pw3
z+=Xa-pdNb%2L%~1PJ#Nt4lpUidALO@|NTR?&U5HMfbe{=_DeCH4QoNc&M9hUJnC5n
zHkF51kMp6Hf~uUz<xEUHy2@7v*E_ewxk+!g(1LUh^r!}~44LbHL~#Pa4&yrXW+NH<
zq^w+fwd#KR%*w2qpgX>wEr?+F>}d09k{kiV9mlJ;0#aeiWoWjpzK(+FjfTqb;Wq^-
zX)#$wHUQHIRSix(+i?|UXOhT-e2tevSFbV;eG`{BnBi074RaJbk{aCuXTt?Mp}M;?
zHF^SUnPIk3x>Mpo#8pQ!^J^kCB{(F6q@%%Y?vFAcjgg8ffbuCoRQ?}^@k{Q%xlho%
z9}Ir&ryE$Uo}C_$YVZLkB%)$~My~%)v#$vGD5N{2Q@}Rf9T}WulqZXd;T4+TBULrg
z_tZ5s+#vbBz4LH=&P@tFeIX~)a$@gC;jxnhymWLRDP$A}6)HhQq$uKmLd&rkDYb|{
zYlq67Kz#tOSHm<`Q-<K}hp4Kz(mh8udKJ$6Ytv&vr}t_U=26@$(|vo|R_U1b&4sf^
z`xny|*%^4m)dOjWg$yVFV5K{ekxZyKN!TTBF70I3u`iz(ADfz9w*Q(8O4`!VF~?jN
zG#$~_;{+vuDCkWQM@QKe>rGQ2FNs(0H3$Cym6GBG`-j<Q9GxF!TjUsIM|G<QzI0UJ
z<1x$*0^r`BZ76~^4An`D=cXFa=7gcfb_8vH&&X)gPAOW5kaRTP^7HerxGQ8nb6YwH
z0WKzk6Vjh>T*wMyqykSjv#>A*;Q#ZBYtbOf_Jdg=6)_y|z`n`IPh42b8agXAyz=rp
zAuIG={cBfw_2=f7NMDh0`y(2%abs}a1;bdCx48!1?&q^m;#{)lZl1AJMRo%fdf@-$
z`<RRb{t2U97#Qjh7E~Z<cWrqbA@NjDIf7JEArVq^Naei&ohX=*r*7TO^7VCy>mm0(
zQ5Qku+F4++3ndwm9umV2hPmO?=4Rgg@q^L3*Q5Mt!9v`Aw@!hl5gg~JwP3SxbaX`A
zn+^_cVl4q(53&3&vWnsOX*!u192Nmb#Lbj{f6}3c#h|(DvBBTJFC%ND4od?uTj35D
zOwBr;+qLP`U%YT3*K<<}a#)oZNiPO04U%KRLV+a3w66C)vyJGD+X!^I%UhRP>20F)
z7G0+<qUypUCxhLb`>S6+ziV0ArNzf=ectKBX)P%P?%_~{$T-SrBN@B%=jT^c>DMW`
zj(4^95PuMlabrkmuws@jH**-E%5(L<Cy)RjWLAMcLvlj_n7^t05H%db!n}GmphH^f
zaq!cPXV0dQ1a@QNZZ5C;06<?4)gAYkt+ntfs1p-Kb`pteTYT12Bfm|r#@h?-+ju9#
zP<(Ny7+P@0;2<Rk8O~PM)#YorfvQ`6gusMGI#KPUL%ukTvkY7(KJd@C3@rzQz3^mJ
z^z8fEWOX7ekymgSci#t8@sLla<WXaN!JXDT$0~C4m^O?+sd<n5O)j}HD*awsfKmz)
z1^cP-{m$P{LC_lS)SHP9fmw)+z)PW+RDPKEF39Il)A7=hr-l3XNbpc%dH|G=QPyV$
zp?&=5((|&S*sd#u^}vC;moFKiPFXtI^(Rr4=T&oGAb;34l(``netv@Z4t*Chj&<x~
z!sZhDFm&684v!6NUt&O^&YE!0sTn6aStJ<OimX?(WnjQPJd;N!e%bM@yr#3Ww7K;(
zl4<blS**bn;_+}usPZvGkRAOtF@eQ*j<G}g;H|G^2J;Q!($U(6L-Sm{Ks5nT*A>*P
zYC<-F+XQd45T54wUodqeq=6*Jf<O`%bJkY%xZkHK!W@FGo=<2uhOLv4hUakxm06$K
z8|Q|g5P}8kGwKSnjBn@EFR>SA(WL&#%d6Ko0=Wki<ruA<;LsvVj}#q@AB77Du6;#7
zyF_$Aw8!|@+ODnx-EGJG16_R4V2hy6N0mqFbch&H0dS#$m~U#~1?%*q7+7CClxTs0
zfk0IBUU+QY7_#;Xb<4#E64ddx(;P<P1x}_%=n69(d43$N+M?6PT)Ft~&=nHxFRuG^
zNI{Tc2N~XLQqRGzftQehzpEnuuprDGpd0~V`h}Jnj9g)%YyTK{)%WPb*YOH2=C`#Q
z02G0=lK}AqpEYI}&_G{@0~0f<h{npz3(jHu75sdBsynD8QD_lqLem2BMiADDG3c0W
z*oJ$SjF`r^Cf4zaY9r*bMhoZ&@X1ly2AHPC<SdJ%_Z?l{WvQ1-n`4yQc=9Eg2n)s<
z!`uUr1xhIMQ=$UMD1pWffpBjD`2Koan1aF&--ov+X8kW_;cl7`RYObpmx&~XVz)}*
z@S#Ao+{e&Yk>oGDU_!6sTp^(W(_cg^9qtvxpgEDaHfMtnoCxS_APPohb%R+8<P};G
zQ~`)4X~ADfDr)pFLzq(ZcK$Pw5d*D1<TFTVkj=m>7RzdEwn49vzGTSy)C>Ex$^<Rk
z<j~gQ>eokerp4L-D4Lj8K%t|Z{bw^q9K(>f80DVwjWyg{8nZ@*l}Df66D=5(Dr#&P
z3kfNu>dfzh2eJ+A2L1lZ+|xs9-98e{x?TD<KpYaskJuA39}#c%ogULiAll!;Xk##K
zOkYEU6|fz4koO;JOfswc-v~S$C-hH}zWjRFPEt!YmZu+Q8tTsxhz$JkGD|2*x($v|
zI=8X6O~qT(A<Bl`SBkhip&Nz-1BWV<lJwwaANs7VUK8dMi`69S5mbo^*D$@|WcIL>
zFkPfe{K_Ynicp@8_wUmHMZn310-1z#kbUmQy&vV5+?Q|Vs>;fKo-ZI7!HpG^K9U*B
z3yBMEe$dNgyac3qq!*Zb+`bN2c#-FbW+(>-&uvfoc~g~@vS2Ho{q0dj=en}xG*XS8
z==!3OB#9W%03)rszNhCtAS|H2FVRr_y5Q@CHxEC`&8r0lnrB{LfyZC3T@t31dfd8h
zT(7}LgTOWZkxj;<VP&d8M2NljHd^jKH~jyi5|8QV5OYJ%C!fhZqRb&kk*dS0Bzz`3
z5(BUNCm>2q9^H(y2678^Y+|Mj@&S_(25tHpTLx7Qg|Y2jd@Pq55y60x5hUGa6JbSy
zF1~xmuzvk|O!N#v{t3=Ekl^tUD&QC5;qiZoYMr&^3*(-;95zOVKBc_TqkbzwE_Q8E
zbz!as<0zocgQx}Fi4ly0h=)O}1=NpecxRje+OMxRZA<Hf!IA76Y$O294ZXd8qq_za
zDgfr7Cqux~fv*aE(8+ZC%uHcCQu#1j==vIu{xwb*#@pUslNJH-9g5s;(9>il0k|y8
zKFhhn(k6nc1;Ia-R+cx%N6+6)=dS*tHdV7c=E{QsYPhTcvmOWLO94{T4&5M{i*1Ko
zI=jOWPy;3yEg}In@$n%)zL4PrVGMD6Kx_Ke*py4RiUotWLM5bV&E<Thy=h&R<G;%a
z5x+WQGB0ngTMvgI1-|B4AR2@mhNQX1F=8~5NDDKy&%Ei@@m0RP_)iFUEW7*-kK1D~
za*_H7bt}=ErgFX}P~+RT;mCa*KAz#?8~zt@p9u1h-V2q;$U`kCesBp08|5Aa2l31O
zNQi1}OjGpxIL(1plcS*!Fv)$Xyz*}0PdP{>f-c}(NP<xeH88oj$N=SDKf!Xi0wpgu
zGR{<`H%BZiaz1=~XIa)wJ)i9(nXG|x0cHq;6%!Qy#K{K9Y>MidWBW|i47vgYmkdDs
z<Dih5JIClNe8(7DEDHsgZ$61){>`xI)fn5*wk;E|mHln*jm7OxqVh3Q+Z9?9*p$iF
zuAXbPMF9Mp0j2d!<_bZ3q?wvVDm-7&`Q0olI|%XAzucR|KSd5jd<Kz{gkp>BC@P0h
zY@i}5wtPiNL`k-0pmY(5hNyQ7-~5T;;m7*-ll#?&-RK*dV~JVZ_uqG1WZ(x0*ofZ?
z#0l1h6V*#6BL*V{qlX5Y++)tVEZQ#4oUXD271Ic`OupD=a%zgioZ`fNhni+i?0>F(
zK&N$WZCg+zT}W9%H%7Vx3~_97>#y+9hj7n(^3#U*BD-d)L++{8B3*s%%PvJMe)0gZ
z<VSEj!!S9xH9%N_M2xdY9-#he7M$|+(aDC}F~Wwz4Zq;tBf0!Yo%pgRCG0=f|1n%b
z(9{dwy#RGd#0@6RGdTaREzayF+vU}(-7P-?q3E0Y-YbcSW`hC8Nid_;PTSw?OG(v=
zX4Pb|$C;P~8ww1vxK&oqbd*s5OHO^16V|vUAHgZDZ}z2#7a7->6`~8-u~yzeSoV1M
z_=cb7t(fK*i9z-^4pS%4Jr*%jsg5gX-$&naklO2;k*@Rj=ZdY(3ukH17EJV2xcM%1
zeE2}dzL1s+3=52+rv~IP3rLMbUMw9+eez#wY0GR9>Q;<J3dF95={;qK3j(NMvYq5k
z{~57qss|VG?C;-iTK7(=zQ*O42FZwnqn#2#;jNg0&E+22hK)MJ`TMm4yCt<M9t8qD
zPbQZIO5!&AP+_g1x=tS11g=K{k+9u_2+xa`FE4+;9~;Yxt8_L0DzDUy8uBQy(Yizm
zzPozb@-gPatd@4V8=?EQrow23dQCU{>a#n2nhP-4+k<qX<-|tc`;=MPm8aD8sXKgL
zfv}vw0b*k6gw6;`>SZ{w%Mi~BA2o4Gpt~-<u&}yv9gYrqF{@%Qmy>Y=3M&b8emJru
z;x|E-uf>|Ztox~#BWml#Y&~A%X<7)}30P!e+U9=wa`jYS0V)SV#*-WWoXI~6>>il$
z_ZAjWK?UIV;K31P2iLTSLDF!KmDX~-_EWwcc`UN+3Y!F(u}RDVpMIPN<GWM-#uH+q
zfBp?Xy+jQC)vF5^%BlSQ{2=gb7LRvyZaO8tO<GbUW>wKP@3@Xm+m!>!#?5i%8a$E1
z**ZQxKA5K!fkeZ5`)GjIAZ~4DR!GsSq2NC7tmuS<W*C-&!@^pM&ZvKBto6KyzUh>S
z*`vHi(dq8{3joNYYol|2(c9abW+3P~avN^%m#`{$AoH^99{1tH&wpNdk)EDT@){w#
zzlLAF_XA)xEj_(Rr`^QepbB1Tdq+pa_V}fxovmI`T8qOoS*I%(C;tH*EV3Do^!}T}
zPltX?8S%?$jZc(bch~ylcRs*M1k~Y%NH)kuBJ*~sVwgeNh21uH-y16}_pffl%c4?R
zG#-AN)fUcq+XoX3_iVJ0M5Nik^V~WP_=AA2kuhiZM(A*)S^`wnOM`1~+*1!!|GT-q
zX%oP&H&(MgbI+mQ#TdZ*AW{IDJm6Z=($o}|;;0coD$Q}gydW-Yu@z1B@=0i#vHmG$
z2~iE`gYOM(NUCmbNNR#4KeLdjsm$755;z8<j$3YC(xsZO-?%admqry%PNGFej6xkk
z!XS<%aW_aTohoyJXwKI2Hnc;YLn51C_Eb!x*<|zE@V+bj@h4L-tn3{0UlsbC)#ZH!
zwHBq9kl9-cRSsy64H(TQ=dpMf5VM^ujl?n&{V$V@Mtwa&iG4@ncHu|)aW9K}6U+Rn
zh9d~4J8EY>jm*`bPyaYVc!>9I2RsDssh}<I#czb`ymX%%);dnTy8WA&_3f72q%+>o
zX-s<4`=ddN(WDL))s!HLM8q_{{PJbT`t|-7J~=>xwP^m=$9NJioy5FmWMse-69D}S
zB2!xdmm4xr`GS1HeK*%;^atM(Q{~wD9><+cxN|#12#YoS6kwCA@@YDMV;}xat@&-p
z6eq)RV12qbVJU$GdyMPRdJtZ7K>o(!ONi^qR5C(m;i;fK05%(>bq|*gKo#qT2$E)#
zl9V|3_2j8G2^19VSAX73&tOTQ-o1aDHE#hCBe8{%DDQht(4%4(Xx?j`jGzB|B)pt-
z;@^8!aCoBhN(TgpA_6@rfTcJ=R#)>4Rp(~zrpY11Ioge3(<b;Nu&_C1CRw3TBiR9(
zK4|sOq2dN8azE2ZkNN>hzlYXV#ZFh@5rEJIIeCbQr=g}!1I_%ztQXe-!*Y#~JH9_L
zr=dtH_F3~LGhkp%KmYleIJn7CbRgt7L9Q+{Mm|APC57_%99l&3RpMH}u0lUNhnJ`v
z*#x0jq^j~Md%;-~mLqLCDd^)cOHG%(PF6xR;b>{`{IP$Fv%IJTDkdc{UK@q5OQlUT
zH!bo)$(T3-ssl^LTxx=^;i@I^y#OXiFLve6pT(uWB)ARQ-f(c$D6$~swYIkp{*UY)
z9vcf9+SlNOsRYUs9rz$2st>(00$xFSt*8;Vr{CnxAS{|lO?-E{s)v=18vC70vkl<+
z8rKXs_@b+;6$&p5l>}2t#>wE$9>wY*+GF%(`UT!chODd&y37T%hatRjXnEl8uaXu~
z4i^Rv1>d9DhW1|70K>3SZz}(a{Qc(-O=NJ-_!d|=<U0<c{6>IHR>O7Ye<0=NuG;ND
zAG4;GwS=bu@3t+B2t*17ip|p2Rt;1-#%u26iKK=2o`j)7SA6KwcXl*pJp2b@SA15R
zP>rAOC=)9_*QR8qp<yVWa}#=AxJ*J)b+JM0*7TMnY7iMgvNCNZCh(>Z5BH05;Tq!H
z0HQK|umzQ{x8qg<)(sg2(QQ@$0Sl3IK?uQes(K$2;3oJ>q3<OrEhNqrZ5GnJ-T+rK
za6ie<Of-Vfr}mb)iy)H$3A(}HyY@SOK13$>707$(ts1tJ?0+~8cryTwIzDFBW_BY?
zl0zPLUQO8#62>|puYmmoS)5)5-`1UM30V@1(90sz=M+32`NA8~*aV@12jrGQ*|LyM
z3O`Vr{zyzhHRqsEiOUvwf@EYkx!}O)ir!ZskC1q4UZlvK#a=@4eaPM~-oq6&3OM-0
zSX%n<TO-pmcp5uU9q|3wRT};)4AFS-GLA1BHs_|=T*#U;&g*;2mVr$LO`!yQ{-;Ok
zkb;4Ge*0hT{#;xNZ)@^9anq2Q!k}sKF&JR+Q-sVPILnQ)FQiy~h{KL+(M{pw!Gpo>
z^T!JGQ-X(Vk4hE~{)^b&s~$NLh;OwOoH_bG!~@BrI^!PPMP2&qHAFK^$I|&e$@0AK
zu)`*!F8T;Faxr*&6zh#>=<c>44rweUrBo6TnsAF6-)?~*59qQ4gvu@-zY;?)$(ALl
z%g8lE9$zR_oFwEdBc7~lBtYpKPBDh)8fB}*r0;0@cm)jx>moH9VkXi2kgO7wz)ger
z9N>v^6}^%HJs>hmKktWb!hJ-(r)hbW&ecM)geILBreg&4{Gc~Yefy?+0)CbXP8U2m
za)Y6{RzB`Kn-0CM5}FK>^G}rK{rx*DPUo+-goAA=MiM_tn)H9E;k-}FVuMSIG;$xc
zl>PWbFLf0t4w;oqDCbg<7DOPT5`LoJO(?L-CqeWbCnGl~%_#OkI)b)jalYFEx{N_w
zN^h3$91aI+E*v}BXG=OLNcMo;p5pGs93IZU-LaL3wIH`24ib{5K+%Kn7yMb7a}&~J
zX4PcZefII)p>&2_?=Bpsh%CEZdH0$($_Ns#hmMDsQc!rRqpTyjfeWghAUIo-kAxLj
ziP?YN7*I@)b7t>d38J+?KSrp1;`0Xv_5D-1&Vzz2B=#TAmiXX?dr~kV1otswwct()
zztJ+!?*@ny89L37O+VDu_nIA2gUlAm0aj&Z(paZ&lVrA%k;+OsY3kPY{p&?Fi|`Z?
zK`_T3jjb_Q8-Ob3SBH+md%%F;g~(>AKF*=0u3m(Af5CI>#I7qPR`Ut)7ZK<Eok2Xi
zq3LODoQudSvV#E~2R4yzxF-^t5y|;j_i>MY3Oq3{1RRDnw%bC&YXWIS<R~T~?WmgJ
zs=%dMgcLM9=lf2k_rvR^KxPd@?1~ZI5+R$K+jlcj+W8_>rZ-wj@o6EOB5Bdck;gO@
z!ynC2yU-__l-M)*oud3fqxfkxc%I?E&;2L?dhj+>rkEDM2hiOP?HI<V15QdaKYC+%
zkp$Cspn^xrTZ(lGj>#b)Ux;x!b#loN*g#EoC+@0HoZo~#caJhwVkDz`Z@)jzLC(7K
zCo{NTFx)h*p7|%!+{pq;;{E|gqh!|SSns$k-*<KKLoyEi`{4BSZB-sTT6!qX`P=r@
z;n7IKtWBa_4vix^GuT4DzOm;%Is?>{v2ybpvR&<=W>vwgk1GCIyo^BrHMk-%cUBdY
zVpn#o^*?4^q02y9;EhPccCo&2A;~Vj`Z7o?;CPR4=#tn1L?|J^13E0%kuc1%h(G8q
zEGsxTEps$DVBsvL4u}KNgTm_<A9?lAMuSs&;!ls5=M!)yV^pgpZq#c=-_d}<m1CIB
z6%ummzM#h{#nYo?uVaLhS8_ukMkc^#p9X6&sF<yo*8=8)jL^Vt9m1_a>!*n8>1k={
zyV%$Tq@sTBuS&#Y_bFaYM3t(xH|`ru?>jAk^rT@GS7`GR9A4NUH+Z=3m~J!EhJRN2
zk7=Eqov&&4h|*F5E*rrOi#19{sUX{d*p*Qx5J^9p(9x_mR6!&v9`g54DUKI&f#vH2
zqobjIvx9n@e3wU$;t?(ia0b7fFlykx@#RKPhC%KG<1)b5%|I5~x~~33Br3r?{x?ij
zD|r|L8qJjWSOTRLgx8W$A-avX?{@xLrJ*|@61yen=&h6Q5)K`f!B7H6T!X5Rpw6A1
zbgX?7;t`bfa5mc{@qLYj0w!MEhMNJPNK2Ww9SzCBKxQ&UOi}5`M6n$=Ev?_pOOZT1
zr%Z=1+7hK4KHEF-ij32H?Xc}pO9i2Nkc5#Ywl4RI+q0{_xR8*!tA<MFDDij7Uberz
z?==aK&NFL3M?^4m^tZ%5gcg-(>9O|613*XwnTUXeGIFXz9K{syLClM5gNCJ(uC4nv
z-YT~CXnmfU+`JbW773^^faU6CUJ(Nm{SFm7v`GIw)8?E~!V-V)_a8V#UuE2XVbyCZ
zVdgQ>hNMda&EQ%>tdJ#wTcEhR2d&P~E=I*Zi!eqpCnu;W-h6G_0xlMqU`CmZT?2YX
zlK28A12M`!{nqg7eG%7Cs@?DJeH>s?h@=KG<^LXwZy|;P1EBo=xgwf`X27!$xMf!>
zF)d)9X{Iw16a9-9PjGE9hwy29eTU})@5~!$*f~Ikp+wtTl5}p39~U6`5iJ<DIrE+u
z{9T%^prGm77@GOX513|y3IS``3awLx=>^+?si_=&RfqDM*T*mtm6f0>c-GM8nEfb=
z+5uT%u6b1gezZQyh<=R*#_d}pKs`|iAC^TVSRnQpHYSGu$~KHK<H|%k;DI1Ukjo<_
zaofsMs#MQghF4YJx@6t3A7Bb*INZl*Oz<M_X3brYGK8mxggB5J;`qN1y`a{kqd-AS
z<R%ymOqyEY$i;c*kz7GS9ZAXs@PvK)3S3;@XDg{V3$mn7;~?6!HnPop0}aoCQpNwQ
z;{K|X$2JDb-%>io$fNW!-Q+)V9t-o=<p?wqv!7gQ))9sk10r*iF9N+(!(~RI193I|
zeM85NQUqWWnLUQOScQ*`H&`|JLi6tXCjP!mf-H>N1NbJzLdS`;@$OMR62ySl2+p}6
z8I&WOrs2?JxlMKo;Rwa7ku6xM8YqV%kqRZZxTB8Y_o2lxZwe%x)xtdmijDZWNKgtm
z`X|PJID|F;l_c#GmMHP)BEkst6dAwy|3Lgr;RkO}`Vc)$b8{#@y&f_kFp@Ao`LQHj
zFg$|^KyN{Cx1d`h2fT0ceB4XCLiW{PZKta*Z_G*)cWwD#>9Da+_O5{cmcgU77LSf<
zKlYsGlyaF?#zBpzgc(znD~r5VPCH~vonE7iAVFs&JO#;HcroqJR^!|b=v5GoB6RNW
ziIXrF5YxU@2-P)DS*sR(!LT@r=o*Iwfj2z2>C`w@X|fCmn~jfK0?QjNF>kAQqDL5f
z9h4;NP6v`6vPIHvV9b&&O1<w(zbO2aM_kThlcVq^(HQV1;VdK$No1yXMc(w|CM7a1
zLh`0yJ|@!y5sZT~@il(VIzz7$x?(*fDFM$JjB5s}Q1YB1zVng@^!N8CA}o~Cm`VWj
zoiq_Oo&kG7%OYsx$@1qn%v3oavMW@+GP1Y^hbS|1`0@NX@{wP2=tIe|<ez4YR5Y78
zwPu1&U3eE-<T$n&R~4|1Jve3R5r7D2dIk<4OT;YvVK||qvj<lvj#xO8)gaPwt>8MQ
zC&|JF6$2Na{!wjJmK~daQY!6+Y#(>G4$zJ#XPzH~p~K-?baXVi6G+0s^D7b9UlOqK
z039R4i}LgHZ#HZ8W}Mhg><8E=By9v%RKhl(l$eihRzM*)DUPRg0{jG=o3I6k19UG$
z4hgaaIyV-;7}<t%F!*oHpH{iO&8{nJKTUeLR5$kOGfA_>sj9jiJMrms(c2H&Elt!q
zo~|NsD!tv0cHFrlAz3F|)2`nr)hQP<M9FST9mp*>m@i6K^dwhO^z~c08U+D?$Vd)a
zvl;Ii^D6U$zeKmmNiVp4>GnF)o%!s(#?EWEAPX6snlf|Qw2g&@Oj|a#@T$W#>@nYE
zjFTwV@ccSTCC3qC8Fw0gUzDg%k##)$pwgOsk@4Ae--@PO&Gm<+6;H6DQ+x62&nKga
z<*qcNoD=&-;kN5Iu9Mku2^|uydM#FKAhoDePwMHN)vPQnFV8eJqgQ&A+Rc4&fANaQ
zF<lQ16a7sey0~zos@U3+gBHCuUMD7qJ?U})`ROt9Y6Cf$@Z_Y<SfR?lQD(j2&XKv`
z^CKJYCMLF^J0QNA%1TZ|6~HfjmoKEYR=LDfjD&l9?|F*bJU#hQA!66@!%kIsmQEC-
z2*b$sP}97FMk1V>4#~=56m0k_OKt^)UH-2W5pn!?>FXLw7&lYZnAL@Ikf*$*-K_3X
zpe#MZG~U<p%;Onr)#g7M+#)ah9z;Y*BR&s)$`h5{7Ma>3n%bK|H)fA*+QZL3Ter;u
z!JnIMLgs}~oX*Zp-BYK6`Hnp?5dL;AMn{2`i@LQu<lnt*Dw9_)3iL|#55$S*;xTFx
zG<*y~?Q@91%Gh=hi?*QZ52y3a<nN)&>A~uGM#Q55k2Ja9^aNR;l!HG~P)I24;X_Kq
zr2v^HPYe^pGTcy^w4z_e0JxN<Ym2`-bdY8z2+1Nu3i^hI0T}cGI}o6w(9qB)`T1l(
z1j&0MWh!obftBjDVD!mRvs(r3TAaGI`y$J4I?BV6+Wve>bKMt*uD4Hl;7fuyaE`KG
zfRT}Tek4xrz@?#m)GX{v&v0ag;V6I9<)D{k0GR$hS7KkEDfZ8k>}=)HKBn`H?9a+`
z{$6{QL8qO`eOx{~Pv6%lM=gr4gZ-mJDGLkB{jxp)Y>k+xsTF3LXVe1lWk36-?|r2$
zkK^;Yr!WSQUs$-=;Ej=V-~rBvtg*9Te(z%nD<UEGuQ;RMuft13P-3)@%U<ALC^UZc
zSl?mVwM$1&4`OdF1U})@kO!BWy9o~tx__v8)6@*N`VKg!_G&-iJN5#x{x{~D*dC`@
zr~S0Ndm!qeu^yd7YA*Y=T5m4*t{aQ5>IF_LTQ}Tk&`Y;k$Uk%LM^kI-DDZ;Q)i*fu
zjE>{Bx5wRPRu*{j{M60C$T8<N*SxFZ>z9A?@_n~MRy-M{>*q(giDo?>*CPZjU`j?J
z!>rH3m#gF=M({lXydKkhH8wIzkm8==(#D5It3Q>e>Vlp-93UGUpc~nvhhgx@dh+CD
zOH0_$kQFp5!ANyTk29~ud@kTt5|#+`o1eP+DYQ*tdy3be_@~e6%M~`IP#lc-ovI(l
zQB$LLQ}mmlP4ZA)dB22FxoH!cVuT@_g+%XMxj00*hoG&44@>#cdmOA}q@RWNJgbSZ
zYvfLEw#vnXiXx6ViO4!{ZH@BHTGvK7=;-L$9ZKQvYX^7<od2!End~kH0j>Kl(JcS%
zu37CGxc)%90V|D2o1n9*v)m7Fs}1LCJO{^%+K>dJuFPmeD=mKI$`$fBf!hm<h=99+
zM3q5qu95fi)vsPepto*44H7pyh1s@PerEQvT%?uyb9;Q(D*d4Y54+7yIweVmhNW_E
zh_XVl>Uw1CEi>=}f=fvEd-yl(yq^1N!J)KI>T2iwhTn)M;pO$mLw&ZUN6WtX<8oD8
z9QU0iu1}#>es*sa^NbSN3W+TQ-a+6FiSC+v<mXvROG{OMe(D~$ek_XU_VL7c_v{Hu
zNZ`ccBDpf&-rncT1`Ldip}S!}Ijob@rLU*=3XK7Z$1R>!$pGp=>I4$dwmy6?`TBGk
z82`^cYb*0?FDYMr(JodKeEs_MUyy8PJ39up^(?;f+;O9VgGQdp+m~J7t>Q}8xz!3Q
z>crQzxgTo{gjvc@+=l_`@{hh)6d?)n9TS&d$X!2ZsCjtPR=;-|V{gs1HZL$xAKt+H
zt;P~3myux{B{+=(*(-gx&0td7xT$33@bism_oCn4;X6iZX8;5<Lt*<U>+>R9s{aP!
zN|>E~{?pX!i^5h=T4&WS?q6iMxgkYjSHQFQM?vAAv>&CY&&??Rncurw<#2%M$aT{$
zGlu;UEuW4YM<I=4dQv8oIG&g0Y#(oYHPC<Ss9}TiQ5`C``J8vlF_Etljg0m{@26gB
zffN#`9<eFRoHW0bPS&4>{vtj;zUE1_<@ad?`*v=~rR)vYHK#;mXA28xC)}zpWB51Q
z@v2q%Y-8PJ>zL^Z<3V$m!cuFHz^JSfH|)C6o_+nJ(~<sZ6HH`6;cQSa4pAwudeF3Q
zL)uTqoayy9qa_0y>{7ohY+PHK6R9n~VdehF9PJ$D!I%W;2t>oO7boze7WW#GXstP2
zpv7GtQ&<~>Yg|Jh8Wlg`%uzw&%v1k0MdkPW!MT8oboBJ`H3Nn-3?<*&*RhPe8kTAQ
zF{XNP18ZQAK=gxHHRzhV7P_Y94Gc{zepDiyzeqyzy@FJ)XVCPy8%zE!J_j#+?n%A+
z;m4Dy<6RFu(+mwWe%t|e_pAT<PjLu^UY??Yx5N+1t=^+292KMZGPF}}5BK!5rxg#k
zpK0-D(y3ihkT$;85~(g9(Eri*fV7OjJ^Sq2F6!zu82HIfbEHoyD1Y;|Et^ytwr<-_
zaIRe0bPz>#r501>`Cuz-&Yhd9rQdg7e<QZxwO{X~@x6B=0^3mbG6m5r96r2ZMdhUE
z;mad+^}*kxUvaPfU3kCbZS%#m_{taAoF$8c?k}>s96sio1?8IU8<*_KcAGqFcV{q7
zh=qlXk%{T-{CUr+YPAM4Cnqu42b*E0LB=)-TS9)Odb<AZW6Y>C2?~y6Xx&4XDSfFE
zMmn7!;b@+8V3++k_o~lf(NlWZZu{2Wsf#~?hZXLgd0w->sZ~nd-Tgppf+ijPTwa1M
zeDb{&j?z&+jL%j>LoCM+Ih2$_sBh-(aivUrwu*m#dvQ?_38~HOAfv@ek^l%!q`eKt
z8k>{q4p(PcAJrflz^Le`b_Nc5&Fw9F9`6(%mCkbR+gV<!qA)D};r1?~VK@3xuD!LV
z&yItGBc!(O%l**y(>IoQ7iO#)#y*Onj*}E;-;`A2k@a`sML=$@C?c#7kVHT^lAeN%
zA|WAhACa}tI1VEq_(bUHO1y4P*DdE|3YD+BKc+j{qy+eXQgrVyD$@#-x**3{n$Xj8
zDrY(|E-vWdMmLhEF&Rqt`0O1s^YPD{?TjB+tNgX-j58|znAPDewok<I(huUTgrxBm
zNHj398Bd-BV=DIp*rG7FVIK<*6{U#%y_4I@u1N;&^m^5=JRNRxGgorI?Ou<>^D-Z<
z?jNyDH=4JSn5^Rbbm!Egm4A3s`sPM-UI~T#XE!e$JbGl>+M>k0GJB79vTA1G?gL_Z
zbtM)UqKr_@eY3N(;2>F`S_E3+G4|jpxw;{IGjb7H<@h@st)naZT-i?KO@*XR*PRbv
z!msXQxvg&3!^{~Gn3TjdY&3c9-o1NKckc&Rcc<379T%G|PN)khF_`=HOKc}f_RSI;
z*NjcIm*xQ!p-=V)BK!+Ss3b<^5KI$T0!avioqEGgk5skkc?}!%oAy!;<3}3jUj3D+
zza%p|5_mh-`talYs$R#D&yiP#s65jzO&11My<dt5P`=IZiziX_=TcUF{?PNE)x{p;
z;8suks}oD#a~&yJAUIKBU;-TQP$+(F!53hrGs)}+&~7?xj`}*Y$t7iZ`G)I03z~f*
z%r8Z{?j}?41JWN)`l5SC#%$#Ak1x-+Rh+)9oK~nQEy>HfJ|MdI>EpHT4|Q>lY5^I-
zZ$3q)r0C2&wbngZH<FaZhIc9^HiGN*#jn=GT8RfEV9#%Vq_G7o96a|gdn+QTrj1@k
z{`67o&I+=%I~FydPm^?ldb{M2Di*rmJD$5qtn3L}2oDQ;o!V{P-esD;;t6pCpZ}}M
z8v5fN93m8A5h=1ijJ?g}N@D(tL;m~sFI-c8xW<a%IF;gLK()goF8;JjeSGq$me!jL
z|2-w8Lq8`?ck<Q6?{c9qmmjvVGr7>37#mwRaWXTtGE_2C$E?#EAqjkY4%27x*PDI%
zBY66AUQ}L=W9Qzu7BkhFXWC0$&}9+Y6e<~vPJ-Ny#F7#X5R}7flS{NzSLsh&nFMYd
zu{LhGTjFtEU~$7>Q+&kewuv)xhkVjze~_FuWU{{mi$>I$SY!b2^WVGeHLtwYpMJK~
zvUu^YU1^Eaww*g~W3z)JBY}~Cu`F2gIvh%&4n;ug9wNoWZoK~I`)+CJIMnFB&}K?6
z_4%-6XJ<E7UVh&b)XKc4I_T9MWkp`S$D0?TV&i+q-QL?vK`bPJyC05dMew_NmtQbp
z??-+*toZ5Ay&omFytcDwx3V>uVZTySQ{O;IO;S(M@hne@J%v95e=#=aIamkqN!*~<
zgNf<Bj9W&R+6kX?`Z`IeAA3XV2L49ZciwJDu2~V^A*U3@`9(jLF9f11Bt5G`dkfg}
zhLzIN0TGdw@wZp)<7Kpc?(7-cd)of@{Yv>;V9ab#cZs0}fE^u1x;kL($22v0_UvhR
z{7ICNHaD|LvP5X2`*cA@;(H?%bGFOVe~&vyH*b_0nZI*VP-x%2=T0oSm6ZwQ{hnbc
zjU=z+iU+v>&meFi20ty8(J^!ve5DAme!XN;n-t+`9fQNBG4}!5526qU=0TL1<^^^@
zc%c^v0vVV1y*d^WQmJg6#a_FVOHg|eBogQa6j#rB4+`aRoV@k=gGa|yM3hOKO?z=l
zfQmcm8bWoPy*Eek&3;{5jVmgWfMg*I<!YP!k|@^aLzLLy;+ih+z~1cefM1VBV*BAI
zB|JjaMU;IdPRs1+4Dbug=llFRB_u3t1+tCUGx3#vmDj99;QXI$J^Zr}V$hSeL+=in
z@*vI*U9bG|j0*6;Tk4O_Vy7ED_>>^HZ{LQ)B1s{A4$orxJ#wN`!ggVqI4^M#@Cg&8
z+i++&CLF$psl!k}LRKe!SOcGa*>%NiOvJIiJFk(|z^K0;-Cj%0+KLMx19Cp%8YTl0
zAw=)@_!c3sz?b{H4G}<XkM78aA{r0HF)T*q=daLH`FToJ=zM|9JL1I6wMr_kPtx8O
z=ep<Dd<Ik)6rTUy>Rjepf19IY;PL})4M6nR%NPLt(qOW{DCgMm<FC;+ATA;?Vkfv;
z#p}l7@5_Z0lCNzq#Ua%QNdBF+Idb;EZ`?;8iac|d4*Gdufh2JUve2O)Kb$_+f2xuK
z)p-I2M6{K4EiLq^CY(h+SEM*2W-IP^*Pn{`%-&?7qA5oeQN1FrR&nvK+`g*cQ4=y>
zmbtLNkLu_k?WG|m^GWv<q-xZbuuo-Z|3$@P2Nd9@_`Y$QdZEV@BAi@iMND^BF0-sn
zp8>;VxqkZrP6jB6J3oFzsDr&jfL`Y81kh+G*f`0o+JFGCjD#>HdWP}$>Pyr0;@cPx
z-HbMrV7INKocvfZWRxv+Q8)z6b@Vv_<GtAHXb8Z<OgTBGz!CWHA&>P)dA!WS!os^)
z4jjK$xt!1YTGcH&D1PLq{Q9kNy-Lu*Ma_b4BGYkobHlj2{qtkF+1XestY~>qCAx41
zebmiVICJu(ilt@hd0%(w+tR+N{O4UC=c5y<_xUVX_`P$U(|%U6u5Rll+D$_tdy=0l
z{6(|0IN-lU5T|^EbiaM7aRLISz>AOodz^52nUfUtM!Pihb*%Q=`SUv;+0*@u;m=#i
zwoXUooQ?_1=e5G-B3^fBZagDZs>})ebjV|dTR1j!o4H3?{{k8-$3nV-Cr>QFr~_Oi
zk)mv(r)DzaO#U4JZXtL03eTFl?}-0(1}U~-DYkUM=dY@E9PaAaxf5}apj#o)#X*cD
zJ@55Lz5s}UqFxQh8iZgO{g>UpeZ-JcWMJMbuhEmw78mV3m7}H^LZ~!>v25pDGA;z!
zm<GbE*r*PLjnKVF13QJ5uD;W3_G3+6;`@oqh%}1>s?bs6;{(14Rt<rO;pdUwUP~8+
z|7_=Md$`PT{MYf192AJWojQ_(E)1qK!a-s1l?{}g^GOc@Lf}$fgi{p9mK`P;&i`wS
zjf>m<pz`|Xh&pCz>+?6_m6E*zcOtHcT?9I;8^EBjH4D*q(qxO0ad-e=h=&B8kmWgV
z`&+Qy4h|3B!nk<g|L3;7p!7|>Ce@qu>(8J1-nxLO&syVF84u^rIXerTotAVL`d7pZ
zcgP*YGdPqcgokeeXnIUbix1Ieun2&&N}-7(GZq`~?tbz6!*OCoLER~V<XMbG34<zy
zu;Pg>)$9DzCa!6h_jx_KS*HC%OJw533pww_!41$zA3u9`H%u3@Yv@bf(K(})!+=N{
z)IFN|`cYX4<USM#($4INjE`>u2ux;DAr2K}WAw+VFRg_b=KOCjQ&swUL+#Oq(>tPW
z4SDWdr$R$S&qg^TC~Q#!!$=yYna+a{6X+xojv%Tl76s5&PEJfQ7uAuQy>(2wc&~)|
zF{Wqzj=in*jR$2ZF=Hd+N5}W?7x3bm8XE_i_N4HMioVTlR)Z8Dpba<Di@VLQN8sR*
zgxC_<4U-e+09wbQ)+WMlw9FXQzR{&>{@%p>3<t?_f$5qxZ$y7PhZmVlx}2XdF|P?t
z4BCUcqrq}NK?iXbVajs`uqU9K2v)JWQoj4(K{D;O5ETo4L94F-%vddEpkLL|p({A!
z)bpq{>O{GIx{|O^E!45NB+%?&R8GvXnjY9npw9u6a+4;LhKg!GG_|0b>amINW58nM
zWUiR%>nl4rWFK2{N2&+p<rRj;Kj^7yHoS}4Xoi^NskJ4hf7{|tbxVK0!dLey<mU{o
zqQ^3{Wb_g4DKcYTH1IcETfLZ1PVPR#_nsaegijdxe43X1Y;{#Y>A1u0Atx>;C#`*_
zN=+jWK16OdT;L^>)W`!?Lpyi`n0ui5BW${LXd*Vz_#a#9!ZQ9XQN3VJfBV%LRRkP9
z?VWqv`_6IFOk-NDr<@h2E2geBwY6zvb_`-R1WIy*#8(?eso*Gmv9`K|AP$O)ZATVJ
z{+PM9eCdzR0~5XP%9*%5MVf0{kZqEixgv|&+T3g25GaqOxTl$skvdEn=-GxxM$!y~
zPeA@zS7%^g0Q~4RigJuMN$cJA=SwpV+KO^(4Ttp_N<LGzBb>S?shQSZ9qXcjxB%0d
z|F5+x|4K67!{wM5H`Lsk)ZA-Q3pE!E&7Djv%8PlXn6$ESNzH80RMN0fN5$O02DdEZ
zB4XG!T9~F~np9@am|MA0;0DN8*KEZ5c{}(12bZ7T^PVr9!-4m+JkRraK3CwIKm{nS
zOhE=uD0+jn(JmltyhaB6lE_8~90r4NfY1GfTTkiU8B4z}Gqoz|uE1aaV+wv2KtYjm
z0))+jH->(J`U2<;PzaPZuwV-Uq8I~A=YFUkjNC(Aeqox+kxp+?r;U-`Y~x@Z9CSiG
zJkDLrY#qxq$OsM$p;P;Jt6|hn0B#3}$vDuepoIi@VxRKzRm*H(DhnVW10xNBFj#?I
z7}iO)-^)Ug{_Xg>+a#=j^MjUKm>M9#fD34Wp(A9Z(t|8E<XbRigwZSrG2rz#GZj9<
zmrtJBUEe=BDfYXvJ4=~;bmsnc!w}UkD@v17&O0j8q_&{30*99;msWo_{b9i|1D<?9
zc{^Zi1~5QVK%by^Y^_eCN%y_{P&cVa8Zc=C6jcJtX(7~ql{V#rMu~OCrYxPrK}^q~
zH!5Z_GeYWdQ{fs0jx}$*E1Fm^0jS+#p}j16xG$gDH@_Uh5ce()zeKFdF7tT2D5)Li
zVRSYWSRfvR1kHxtQ79xjr~SPae@$sO@tHE4cf-oB#fFipOr;w*p`o9LCmLA?0#mE8
zZ{4UcTL-FGWK(NjUmqkFWa$&MxzB=mo~N^-O2{ar%u&i#O3Ze-WANwWhPniYMPDuC
zK@yj<(?QL47XtuCqov74L^FEdckGW&4zjn^8Em;#_tO{K5$a#BT#r|`;*o#|h6*%Y
zN5Pc;*s5$)VT94<F9UbBOi7*B_!nJRVnqz3Y}H>T-z#k?=wVdT(P5%0Q-DwjmXnDh
zsDc-lzLIBqjH6zLUgw^P^x*A<f6opOG`faaLRv8SzTV>_K{C{?q$TgV>ofd-Q_DCT
z(XEaOHH}>3*z{@HLpiT$oGdZZwI4R)%vZ*Ls^NMY-`i9+K}{g+9<k5Tr~;y5cI2T>
z*@TKHtHH3*r*5;@D97iTJ&eadnv(vOr!sS4jE15QHJsPu7qtm=FlvkT`Xps*N_0Q+
z0rcY^kC|NbjnKp~-cab<gX`F{YC_4a2Y9Z!=BTxiU=(z}8xm5LJ9Bu0&nL{iC}GQ8
zEKWfuK_P0-hG#?Ey>aa$h0w-rXS})MscT+d<1GT^@;0pYv%VPf#91wk3eO&5WWr4i
z`jJ<hy-6j@U#s&D9`&k@dwlSio#$IChM(r~{Pqzra)Lbms`-2|l37{u_Tr#`9o4Ck
zjUkWK<3@A-^-khgP70rW5Kq06f{PvcvA{>??=5?Z+Cl1x^kj-F@9oxY`o|`Nu3g)N
zgu>e<K7m*n|IkwaCQ@}=fz(f0eB%eCp?PL2>bk68NzjQS^D_SEdQNWX;F0|_Iy-us
zQ*<mw(_K5jn=>g{apEMiL6S*#2rd~R4f-BIcWOL+=vc{eW4&&Oz4u%0TW#QD<P)JQ
z!VOJ{7Jtp<JIcq0H)Q#%J$KJiNK#`?Mh`ScUp)|`rG9w*V<Gpu$y{fE+X=ZFAnag{
zPz&ER)4d1K8G+WbhmD0V#63(shlF=7&T&J&z!y=bBW~xwGpYQncwyvrdKJ6aL4Zx|
zI3<rAO7}uN>o3p?$t*wX;xcgW^ZP`WQ?$O~qbP2zbSv~p+sT~$;xh@(=+{_@Y%V;g
z{Pyp-&$^E)^UY=2OHXVT<nzZUzN%0sG*HL&Z`Ri4Agsm+cr-JdB~6Q$Q#jWePyBo!
za2+9O>)rifHQaE}9zrnh_%k<9-f8CQS~lenE}z4VR>h32uDDu%=gDB(`i0*QoWUIO
z(h!w*-if7n<LV-yhj|=z|6q}&`|<+$<Ezk1f*UH2lFgIO*$XYLW2%Ule!hWtymy99
zm3uXu8uSLzEX~1ijY?bGr9ZtHB_%}I_0&6N=3|+HLanu1?q^5itXy1vB>MYDafhAC
z7!2Jg&;$MRD*yfTV5Dr!6l1)@7mdL%i2(s=aSm(rfjZ~~*5W4clmXpX?59e0E|0g+
zUc8?OsvYJz{Cn9+F=TXPkFWnl>C6vSOy@0zAJ7@1(WZP|ZEf?P!^4$)7;^x==q99W
zB4}ia@rm<%+=x+-^%QOVDLdbNX^*w7?aGn4x|*5-_a%u1a(gq1SzB3A@kp=-c?USp
zSZ`dHIod~}d7h3~>?_2dm3&GjH~lI|&`k3czIb7U#ezQptp3iv!R_iv_fRdejGr5F
zf{J0^oU!uPol#CsPFt9(zVS?{1VeP2jCknKMrbcVZafCtG_&Xu!*yyvmF%4>DkaC;
zXsIiIdbgfKGSyO7RiSyxhZUWa5HxZLcS`A}r~i9-c=Z#m&bK2FWz_$7zDm!u9RKa8
hYI^Xc|L<Y>%4({|UACHQqs1zC`4dRKeD9;_{{ar*A3y*A

literal 0
HcmV?d00001

diff --git a/_images/fa083ce0dec8caded35818ff6f33dfc5cad86df966ad654d7615cb13df4d5c2e.png b/_images/fa083ce0dec8caded35818ff6f33dfc5cad86df966ad654d7615cb13df4d5c2e.png
deleted file mode 100644
index d4804fe70e10e283ee9a0769eaf273919a1e71d7..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 14222
zcmc(GXINBQwrwe>s2~^+L4t~il97yLL_j1+maHf_7eO)y5fnreBuLH~N^%a$0YoKJ
zAQ{Q2$hjzZb9?UX*L~mX`|kbT_x1hJ)t(A_uf5isV~#n-<h6>DEZHfVQz#UQOkVD;
zDhhQ}3WYlIiR3uEBSU#A1pZIRQAXQQ&DO-x<*~yvl;UGYJ1bj9EAuB;oS!+M&24RX
zI0QL(*{+y5I@+OyIXSKW_5}`G2UAW4CPpW?$Vof7M`#p^{4w&sBbnkE<|q_DUjDA6
z`tw-au(w|LCgE_EIq}N1#G}4W^@ca2Ez=@S5iVuE#A$9d>_1dQzwctlbAM0gkIQS1
zNJz&<4Bp2lPMff@(?wW5Yhm$zI<Gg+el_vIkz2t&#KhxzqvCCmDL2P{*?BpLE|m>d
z#I-r)FU0n_hB%43*Nyh!PjQhpP@qsgCy%*R!SYbHS4obbP~F%5)7SY)+)<A>tc8ZW
z{Od0b4U`lVV>k!62oY&R$M&c<CWxa_?vFp%xA7Ey9Equ^cUM<eM>vR3D8XMp3ycf3
z+1P89DJp$dR_x?U{olNLwc@~sLe-xQ4-XFv2`Nix)|G-!n|^(I^@_w7*5)-W)vXi7
zMutK?2)aW2|Myy*oGJIMr9jmEv?K`%^;}Ogq9-GS*W?XOi1qs&Ckj7!2w6%>`63f}
z%^X|_mgSj=TZZW?<gOwt;)f4NEP6VwP+oXmdl6aKO6DI#Y4zxHaw_jWM9uE%kU+@P
zr?6c#pSrKR^WLhRRr6=5yAE@^HxmlQRrQASmgq1)ZA8>;9L4ps$ekj!*+x!F1Ye?o
ztx1=mIQlPpouZPQ{raBq+t;rubzX!EG&I>qh>n}BjyGoK<XCP-`S|#lFkI%hS~1#$
z2hws{b3XF+Yinyb)&d(y$@(EGDpNY(jQRABkJ;JTU4_rSM~mJN6EkQIVX!T<p86K9
zQ|XvxQ~v9?@&`CF4?Um9m;B3u?3%jL6gIz{=9~@UthL*Tdfeb|zO(Y{+qZ8HJ5k@h
z-Iuv{FFQF|>g?IGZ66>DMSgUyml<x5@MXZ8qV8Lc&ksHETXS`X1kAzyjCfh4p|y3M
zg{379!^+AUmwy(8+TpK@Vsy;+^*zdNSgZH(<Hs`$Vd3FvSEc=LGBKrL2@!0MlD~eH
z!!wGB)z(bGUNcN#ukd;w>|bQ&6%cbkqhn~*^z?F9Cz>t0QstwC(CN~nYHDgJS_ZB%
z)YQ~eLoT0vk7Z|OeiDC6cW1iC7S61;JqPWl6f2lyTSq9xdhTs6W5&je<W(UnRMph@
z+&0Ye9u?jD<Bzvf<#h*}7-YNc?F*hfc`~5Rh=u@I5%=Pjy?NtC(=Q`cxOH(cZ}25<
zsT?hgvmmj2>EnWv=Wi4X5g$SMylv&2CZVLFV&&u0IC=7<PN~&L<hEU1s^Jk4{QagY
zW1sgX!<3_GbyZXn$;J0ownyAC8Q%fB#M(IXX$C8ua!#E(rLLlKC8)7$vZm>M&EB5d
z)YMc~Wo2axK1VYzwDC#jW}o45f!h((EJ<Ks>b{5hn8aLcw{5_$vIP>?Q^;~nK7=#1
zMl(IiQ#DE~c1WA7=aUs{K#qwt7$Bql7K`wC-|K^DlXPo$S!pDi6(?sBPD%#T(4_hv
zUGAAsBEE`3b^KZXN9nImMaPcGzkWTE)f|T;P2$O*Mt<g-H@|KP-;~oSNH$iA+6u~P
zf)p`*_Ec_e4u0_GpKqysuOnG!_D5rvJ&_8dKk~Wx??n0^dKJt03rvWXB;av(Qghj|
zlo`x_TpC1cMwGEi$=*fYjZMC0-pkfvQBqT?llJ3*oBx;_?1N8xOS|}aUm8AMxnsvh
zvQE%Z0UnK^kDvK)v|UL0-!|vp-~C5KA<FM*89W9%8T&Uxkt6YSN3cum`;)7v&o%!F
zKq=1t>)G+w3^C-j!GMrv5C0xa2Pyfc7B)X`AG_rL_<0qHq2{AUS&)7j>gqSIUHdXP
zh4N{>K-vH0CDzSESLL1K<g2Fz&-2*sz{N(UW_M%guc9Q1*4AVEN#!lf-kmxnqARN)
zZCI<yuzwjgsw4L|@V1?klvI6^JY!*IJ^P(%{>339RITV|1#+xf17BV~bvG#Zf^JZf
zk?G2PWa{Rbt9grO{XzS?vIX>ounJFIW?L#qL49g!Rkup(@>|@UMORZwk}yre)sGSw
z3k%!)D(WS4?Y@6qan=yL9G1rE)6#_+qdO3z9vEHNc6ktS9JRyeO}%GvGOU6?ByEgB
zB}^?y8|InE{_wO3p@2J_7KPAGFe#AB$~vI*y?(gddHb{*oRZyn?<M#r63aGE3n+X%
zsF7dS7ym9F|MYeL8VQ|{!(D))`94g7l(aOTQ9X*?pjz9>$tjOsOGhW$ygU6C2Zz$*
z$B${mJjzF&PmqyoAP5|1n9KMfCWbW!n@!28d6S#_VZa%>t{)$HG&D5Qo_&ufc|No;
z*R5e-klz|3z$z@PgQ;E%yrCSQTjRcM@$=JT`hAGDda7OA@Ju9!em0fCb4f#wRhb~X
z<3g_@XZ4D2x?+sU=tWA(w2TBV9e^I&qUN67-t5xS-h;}*LRF~#L!R^~lz7*#Wii8t
z50m0W-AgN#@81tJaL4gM)raJm$7&g3=eje(qoW7LxfLSV9zK1VN;u2Fusr?^01&hC
z{R+TW;?(y@Rvw-rETI=;hye_fk&(G|{rX)%`+;KfuyeW<o6Ek(POCqB_}H8Fj`I)f
z6reQ2uirTDag3O_cn`{$wZj8I;ieD<jC|M)q>ANv9VE*Hsl)Tb+Lhh6m#~Z>BFQab
z%nM_mU$E1kKX)$q)vH%G$RXvpU7g-`ygtvofh!w@M>sqnP}0(}$+O(L_0Ym1`(6lr
z9-n3JO|DN<v|8HQW(nG&j<YKGE&GY4Td?b#wL8hue8R#_z&tzxQf6#127DLKpHGR3
zx)iX*&cUInqZ57a&7~x4j#e3s?{xrYozS*H&YL&oG;^>OzDH0J0pnC?zrdg%*rjYg
zKVo*>(g(~+u`1@~S@#tbVitLxuNZl*wJ?XKetvO+748W8g46|dZS73cc-MQnWj0v$
zvZ3)bLjY%w*AN!PP79ip7cOKbCQ4ikN^5ZsW^~`&-2C?ad(k$r)6&qRL#VZU-UlAT
zj@^pFPV*nmoj<?1_MLMfL!6M+><yc{BI;H3_FV>-EIiX;_piRQaAh-2B(%BMf4}DO
zD@Sl}a`r)tY;?*p%;jKeRh^tlpa}9>{p3o^$Y5n+YNT^IiV{f$KxvNz1Z=AiJ9fxm
z-D58}#Hg;Sn(V$@qXnVZYwL~I#rE{f!UFn$M?Ndi{ty<HvXEb;6shO%8i^&BUQ(1@
z*gwMXnrQLE=J6E`<AQ>MO8in4pK%kZzC#OB>k?Akz4s>=+zxhU`0U5;w#MD*OKWr^
z(h5Gp6_k8!@HJtP&-8_FDx>V|rrF)gyX27=HbTE?!Yvk-Y^*0_pi?uQ%k0}bOXXvE
zJirE+#Ovlx8if8XcS>u)W+`u*e<c;1ewnznM2=d?2gpJ%8(g?>o#}>K2EF0k%T6Ln
z7&d))K-^&2LX2&#(DH~rx#)&U)oCKs^N7Z4d3v{=nGCoI`TC|(vd+#4UbgO86)Y*-
zh~~5W@bP07Pz@yfuUr}XapE}fZ(3#ke&kQut0)sS^{1ET<sVEEkDeR&x-H~(;LJkO
z*xbBOi(l%7{NQ*__1s$)ic|ez`R2vTSS&VL*vTS*ToNj=F`A|2>C>lX4gO^L`AFWU
z#M01MnwfP33yfq&N7LxL&85u`RiMMR6Fj#bMN-aMBh`P5en~HBaB6`h&blR($!#Xi
z<->;$*X3sv0VPppikcC;mJ!za>GcwW*yq&L@tB4z`XqW$x7muB`0h8<JVPp>wn?%i
zJ{k55td5TETXHF~RW2`W%9J9`oIKg7p`}0NXpi!lj`L*5@gp{$Q?=D1F4u&MTBv_#
zb##wblbrn(z|gxk^<7{8G%8BxVduxBqw=>&=OXJqM6j>h==<dG9s~;rT%^1-8%J3g
z7tOfQ!kl0>SZeLIkXOd*INPy)L&0{aypyT%h|fn}7Y0`OXaVJDVJx5Yanh>KF*<vf
zBcsV><Hyt~=0|F(Y^relT75@R>HKzy7bxrwPJXs<YE=~VeCELNBWKmXy7lGNhLyHf
z%eZJZ>l;uf#^e<u2mBk_rUT_uWn@Y#WS3%NPYGUQUHDNm&^E0VmUcN#&|Ye=%(ia}
zH|R9}=j$zx3n+;$<B<L@DidD_`IT9wXz6n!(Xpq{-@kr37GHtZKXh3l&2aMr{=G5w
zg4_Z(P_lKW{lu|j=6f4+I<+1ZmCm^NHL04HP)0|_=40IU+(IbOkw04E1TapPAsq<5
zk&Ep}*w*f*L$V{#zqn}Sx$^mh8zgBQ2Mx-|7%5x%cZ9UrN`)jPB}@B8_BmJ3aWzjR
z62waTxK3yt#@#_qady_M=3sB(zM`Uap(r!6Y#6ihl1jtV4U!|Xaznd@V{N??-$gZ6
z3~g!}?;&|_Y}`ILlB30`p`~?a{XI0npR_$#jf(kQS|aD~Hc$0*XgfF*UgR{$?aojh
zEJM;=pl&xfG%QSClNO@WvO0FpN>Xy<kv94Cq<TmP!@<glU<Pr6i$OAx`pzG(&vh${
zYe1FSXuGpqUMzv~aj8IGLr)B)HGR+WG+#RR<MW)8A9Oh-Hp9YG)6@4u{Yj~ltClJi
zl9G}**gFQJ7>VnDh?J0|U|RKk578U@ICYA>l?L+g(9mS1xM=5_1o)4E3Uo$(&DKDv
z)?x}2?H_@!f2^3=)Od)ovnxJ(_H4!)lbNXkV9vvE61Bq3_JxGUj)jEUKMDG(^-^y<
zuI$w5)0Qp|Q7GMz2TE^o{g*}f-uDmIouBSaZ|Mpa&><rs>42=baPHg_Z%k5><cTx1
zDo`ygS&32S*Zv%eJ+0`w_2*p^8{*Tpmff^T34qd}sgZ_Wk6`m{ZgUF@3Ti{MgoO%E
zNk@m<yI<ocB!v=bJ&#5YoRb*hd;d{L&W^c^EwkKh(?VW#wAPc)Wl7KfGpe3!sOGB?
zWDmvl{&*gqw2h4jcmJWY540bgt*y@zk_w{Yyg_`#C#Kxp<}K!duL-xz&e4pE>K{`3
z488Ri`Y?T+DY9^`eUmjv-N12>qJDfEMx$wnzE()9#-F*umQG?g28XuZE{;JK9T*&p
zJs{xu946%e$>yLj>>v{u8k?s%Qtx>CwiWuBgM(H3Tcs<`lc(4WE6>*y)t$Gagd5U|
zJpY7*2q3TYuV26RHoBFub>7~Dy}ml2nI8`}GQ=xVG%-enygpkFGwdvFy}hiTv|Fj^
zKI&4bi@0rM5^nEybf|b961GEAfi=x7dmmOIhefBV8G-wj$!%=a{^-%tZhXWI3Byd&
zn|$FElWe`>^Os^zN!i=mZ-u7;C)ikRW>5&N-Ct7>a$UHMnzf5P$=tRUezL>lSC-G|
zZ8Qr>Fg4G;7y;Xer@FdkZLva?OO*?}&%Rw42GHSPr$Ft8GdG;nGICYYJ<3sYueLoa
zr%5wk@7BWM;pr$KNXf~`#poF&#V9UGDC7V315DfaDYkZdM*^c}>lV3nG+T`YmIc0&
zB%Md=c@?mxgZ|N@nSk>y@uVM7IIp+4uUfPFM`j{gy1em&qfen?LL4J3Er6WC#w7{W
z(HSS|H*WL5$5~u9g2AXQ;?Qh;YJJpmJFe8KKN;xYg5lv_BqS~0<1fU+9_y`@d-FMz
z&zG*0B%}ad7tK=6{?u9UobYyEMh{M{i@I%ew0mvw<Qdi(Fe}IR03vHZkwx;W#%;3;
zSmx&50wxDwOJ5v?+NY~IN~ddCV_REn#-uaT;~U7{U*&?~w;jm^G#d88<8+G6-sgx7
zSk9h3I>zR9tUi`~*?wbxIQ<GQ1ne;I0veI$E629;Fc__wwm3S1Spuji9rW?>Y-IIK
z?9#^l{rxn;j+v^es>K%AY|Vf=VJVWMK3i*l))Z^!9Je!w@m2Bis&#O1;5F;GBD%lQ
z0NkoubbBZz?v6`kju>jiy-lxW%B=kHOXEb(*my>DAk2LR?uyW&_ks!lH7@nd8&bs>
zenlV``T5<J(0PsBmyuDO@V=9t%FFPUR{vFqkX-(+teEjHMMJk`GntMZJEl|PR$>4I
zI!@T>eo09Qjv$vHNpW<H<<TP`<*E~PPDDpjBMmHQ90tzWKn93P&VXXIDe>!zHlbp|
zVPSZtT@%(3BDN>T;IZ-t)bu->%cFHQNc<{2eAo@id$2p?u3j<~>b}I;D;8gUi^C(b
zTha`_g{z#2ckiiku@&9ukfz}^dndLx%cvQ1+{a{cMu1E*xQ$H6`lLXvMz>h*I&oI8
zfWD~Lez}3y?lVNkNbo+WKp3uRf~TfhhLT2^&G3*0BWkDS4<c*n$20y(XlW%~+xY1B
zSJN_zG=q6WT-Ee;^7)S??d&{<^fm{E4hl%eyQ|Ve8dRvAW3tQxI&7u85~k!K$By$e
zI1JF(uw6X*j%R>IxRblYyl|r__%af9PV+tK`;&bj046fEJt$^p33bL563`B}ne`3p
z=iBMR1~D|OY-~OA*c=TYy5a|`A@I-05ih(o)Aj3SvmHrFR7;kC)6wXpoT~EcmsdE-
z4EVM_pJ15nQsBfc4Of-ePuxQeBXnafBf$b>ur>`+lvirn>(VM``4G_?OxHhsy*fq?
z*}p#1-iOdo>)}d`&!0bU;f$N!bT%`1FBXo2P{!xtq-B)I`z)~7s{f;_gl3NQj#WE-
zdmqWz7x?W7a{8XUvJtnDErS}jxyhC=9LFh?hdw$o|MI={$gjG2U9+7Vq(^GMW?kv2
zad)8;_u8+<;kTFj8mSD2mXcBR45=9knCfeJhPLiD)=f-7n@4I}vaawt&8tJADyOBT
zogyK52O1qjCXyeD31Y)ozN0?v=GFakA8vK^WOa3>%#er21vT!WMkmxM+~%_~c%fxL
zm|;(rTIFP@f+Mb^kA;az<}?+Dqf;<yOf9;KuVH_;>+oRtV^ZNX@$o`!hB3=n9g3S!
zV>oLzLcItJhDe))Gzb1<m(%|sI#F2(i6g|W&)u69hRZHsl(iC-nK=_KO5ly`BC2g-
za!FYJsx3=WUlFY<o%wL$OJLVW${->l>l&F5(dmBSBRuF`VW~rW-C+*U&48`p8uu~)
zqw!f;A|FGc?ZAQ}KBYh<<+4rEsYy9QPZ^S<9^nm=vqkM<YEn|ZOLd1{HH57}Vf%4E
zLJfo04pKZj3=h_*(o$2+zJ0iLik#d<;WKLNG!z)gnSRrDZ;ZWaapSeL^xL$@cWwu~
z=ol!m+#GRV&Z@07a2avU7#|<MKuenoV)aWuKQm~DbxJJ4)0GqQhlcd@-Ek!xtZV;V
zN-h8LMGC?Dz}K%I-o5LGG}V~8gMnvGN4NxnWTJWJ_H!D`UkHtf5AZ(PEBwyUt-x6W
zWM6Z({tqHRT8uiNCon91uidG@w{M*l-d9vq6zb&Z6g+tet(enn$JN$YAvNgZK@xma
z)C~AE2LRjmEK)z+dazVJ^dh@XYK%>#JcIXs!BI}fI98OP&z&fugH~H+1y21+b)<W*
z-5C!u8TH;Cc5!MT6PT@9t}Rjy1))<VgkE%GscP9`sNDXHCwW-f5kX)0ZEYh+erl2J
zc;CRlQ=5zZMUC5*mX=@vB))q`fiLCIue`~{r2=f$mYW3ozg2)PCmEvIPmtggV<Gzv
z9!SUeJ(5$)#Ka^B|At;v2ULq_0o!<>W{4_Lfu6|*M%F+0f>)>T>FaBZjJObh5tn^p
z6l#p9n#OOsJpluBN|OOLMDZ=i9=$uO6MW`f*I_@38r$E#e%%S-xG^1Ln+;uW;F~w<
zuC5jS<P0P8`-#U+U(8HS{&FDbycqS}ixZkyb^|&ZcVNEI8@|!po*S*JBP1x?zyBd3
zBK^aM3wc(01-X>KacY3KIjv2~10u-}SGj2E>FI^Fi)hKo$%Xym1$Dr_MCi9h19#NW
z*N^jB3rm=l72kW`ZAkx5+Wfg}OjAyOsr6twQ1N@`Z#=NeHh>Ei6yGA5nw*?%x@=pF
z;Tq0TW6sklxi60IZy!?COBo-3l9ryHt(+i+oO)Oz?Zo)_BK{5C9Zk!=d@KYblRQ$O
z0BA43ZS||1=aB9wRtOFCYO)s;ULS8WH43D*=2tBV*Q|UwJ>QiUbdf_Z6Y?a|hFl6+
zzog_JAQ?XunkjtKlykVSun-;@nK3_afp>Rxb=CP~^am*SJ!Q6rgn6yHF1YrP4l8UV
zgSC!qCMYNfL*}TMJSUIz`q!>q+W>Kym4)S-wT#>O1rX`Ry!E`gu}$Qn?whmu`c*8v
zyy}#clx<p|{EsnN$FmWDzTdokyX#;8q#?rgXkU_az~W%k8&Y5mk}>{Gv=yqXSFT8q
zk&)q8zD08J9!L2c+J9%~&(*X<x@Xi1rI%|EXkRETc+!C~+k~#JuIQSx<}xxb;a>>M
zSLO=B$1WCX6mHWWO?gdzM42=XK%6-ZJN22*b)|8zo`L2!Zs3BS^YTa@bmtX~+qRW+
zH*iB0MZ+?ncR!Z`_5eZ>_+Ppnb+Bc^Ui;6hf<XUR@q?lVq7De`B|Ba=Ha20$sNe@4
zk79f~%IzmMszwR<{o7!bEqiU>3BD}Q#`F?CF4v9eJ*!i0mxM?_4^!^Vfm%{B+9)a@
zpw%w2{zmL@9}QKw36V-r<$7=_pCd#YfK%p8Z>XVt&pvwe==FZL7s#$7)#>%?*EY8<
zz$0J>JTL{U`Q=iG=m%_D16+UxE`;zPsA6*yWUYG70a`yAvdjDrK&lJ<lNc<?vB&|B
zpy0JNht_ye-OkQVpz0b{R=LS3DVy~~<eAmgLu5?ILS$py{2&rO#Kz`ASi;`v)7*ag
z>iQhOaX07`8wdDhOQ2@+ohbpjfgmT?rNQ1XCwQnr^<-gVQ@65ObY0f>CTzNaZnZgt
zZm%eoL(avlyW=NRa&nNk7ON?)%LDD+BP@GkfNNF!?c`v`%l*&L4UFT(_c}w=b#w-x
zOoDfmq$qh4WK7w&wC1Y>&bob7Fp#Wl72zZL&h#rE;^Xs?umz~Ovs^PUpu?_HEH}{{
z;_}EIzOi({=#u}h**0J-mE(b|(1RuS7nxdu!*ZKc8d!5LQcD2WES5)Vwl-f1`~HJ>
zHNtTMT+aH=b(ffYnj&pBs3nm|Nn+RjBoR!_0wLR{?-GYJC{CFafMvp^{1~=jjG;JE
zv-SXNKO`h@%HMzR;HeGbFWylaeUc&@LQf;)kjiQaL9&v`Kl%jXJ2B<Te`?VF=l1RY
z^HZ}hQTJ5Sgc4CApSlI`dQm$e)I88(imk&M)A%f_L02wj0C}6X&{P>AoCe)I#Ptc_
z#RyKOghY?l8V8szK=Q$j?7s5#@zxQtb3}AcpvuollK4pHS9kF<&sw>RS`VH<9Rz}`
zPFrdc%<EoiEx4GSLn4XVXOJY3h|zOpIzl4R{JG=O-^9efB*lNxYu!mH0Av*)6_t*2
z$s;xHmcU>^={4Vs0&T)_Yq38tFi;g(FfV9_o`lUl`fOO~jxhYr+}vEJ&Z}l^ZEXV}
zJoD2hm9kMU_nc<v$Yl}Dh2QFDBBH-AF)>x*N(V*Mx#4J?j`%;mG{W(P8hXZFkZF@4
zG(m&it=<OYM35Yu$VU1oa4Pwpex(4(M*%{^dDfkUm6ej3It!|?%-y@?8v+o-+jbya
z2#89Vf;rk<>9hb{UzZh0Xey`z2(6iD3NEs}3{CX8bLWboW?U4nDlOFnAzl$w`b6Wk
zoGZMxBO)(fz67Q7K7^l!v$Jy$J|ZH51y~;xKHEZ3etu0Lob2>vPg~A`bvwWS$dS*&
z0MCC3b3AExeFoq;5i4tBlka)hOz-{x;jzFhauO4-058?gr|;K=8p6WDvKV6A{I+6a
z9jemu>|`sa_kSqEDJdx+V&qA_IBx#+-Bp+m=mWZ)J2^SI{x&EmNDay?2v{*2r;r1H
z?#*%)FC`@fS=%)|3iz}iqV+=M!Gkv-H^&P1T9n)`Y@IW2dv%tvrvhzSb9jJ{7PL>k
zev6Y+86MM`Ul3Akebs`(p$F*-Oxx-8JvXrkc0u7UG3&fWc8RN=-U4pJ=e($$r(dPX
zDEn3&jEdX0Z*P2M49PTYj}LtHs^bN@Smxy9(*VpRNL9KRL*gW;aTc)aI@Qk$p!r2Q
zFhsNhmR(G4jP2`Vg#~~LyEPH-z9e+)_;Cvm0kiY+G~C=Op(58kUoeG3WtjNw#Qs%2
zg*Swy;Jtjrc>LGS4#-gW8nUp2BGL>%9SmgDg@rS1&M^j48@soCTXU8{p}djr++qne
zX${TQ9JI{Q`1T{!6zok}UyA+vUI!m3dNPwFS#GW<iGpcx557w+sB%hV2E%_-?*4;~
zzr9<aof^(+{Y$n`6r=qZph7|ynM9D#{hK9xSBe5v?@D}ihbibK3Jgeb|Nn7I_`hmM
zS0io*%%MPlEMFmUmHbER^a#ob%yM$p|6>bLw(w=`|FDHo)RJEtemlqJn~7Jz$h-q%
z8%8E@fujGggD8=lu(H!!DSu}ig9)HZB4zLdd`Q3`{{PAj?kZA5b3OJ2@aRcXpxRs-
z*6mJLRFjvN&uPxpt5D6#%7P?Nk&y6#%oJ5)gUg=wI`0R(tJsTxOdZUDm7wzYagt3P
zVM{Y4D?cCM?wdOkA?}&?fq5t&C2ioU*7xH<gdkm;3K`Hy5XT`0e}Er7L`*V7@^FIs
zt2nCm_pWj>9VKk1GAKm2NLGc&@No0tN~ins@)brT7C8W>P_+jPwKO#=|3aIUm?Un{
z`EBFBeED(#%u7I1mOFO_r$!6@4%0Xefd-CUt`_Fy2OCV3u+g2jgx*<sOhzxF9qI_Z
z0H7w~X?59ptzQNpoQDoyRYF1{C!sSUsQ~Tn2N3t+-Md5pIc|idCS>O3s(W};!`1+3
z_m6uSkV%1s*8%lma9)gn-`29TTX7u>3Jko!z<>c6ibY7M0^4rZPMg%U4Cr()gG^8r
zJ4B)}ZD*0L62MKZStn0Z-lEHW;tZ9(<9lfT(^pnjPH%|_C37crHB7n{=ec*}FG&wp
zp1{qE9rTp?Kc2-e*Y(Lz>G#Zgd2v5-+g=(TC^8MnuidlQob8kb<VU)L<D{32mdRM4
zw}N|?IOBAJX@yinfo5gH;0d^fa-nDFMKYl=2AKtczB8UKMn*<C@?DQ$ibw2Fb`oQz
zyPc>%98l^+K7jSyPqWs&e9m%`DlDza8J7*j*JAN!!TtO9Rqx&N_W~bo0dP}APVUup
zq((uPk)5Ak%CJ2i#EF>D$Ux5ZxdBTI_S55rV%K#O%sz55y8F&_SG^l6@BaJa{q?Nf
zX9s&Z-TZ_@p(h28{O3s6vA!hh;TO(M3<JHQW?I{GudEe9e!G;2BmaNTS`ni!ekbqC
z$*F*!fIv2)^FhUCUozCxOh3Wkp#mX)ii}JH7y`Z9>{S?Tc>c*^w6E7WJoTRugrDNH
z|9uZ1hmW<^l1Hc{Q2mropSYmT&%#b<C@Kb@$lfBynd`Qc9$f|LJkiGoMVMeXw6iVn
zYWi5ZS%!`>%w@wZBRvn~SB}f_2y&c|OitiJAjG_N$q)?4(9m;;myFn`wR`id!!Dzq
zKy*46Fm+46<~_A^2Q@;$Cr^RzAif}U(>+AwB8h`GRf>0<7gvm?YT2Pn(ah0c)y!3S
z@+A2Top9<$9#g1v_rFK5TdtOav7b|2tp~(L)6ucmz;%jJF<#^m;<UqIitL>B2rI%>
zTJ~}LE{Ye~IzTtZLeuNHH<xjWbh6I)vd~~@@WD!ec=_bT`*iPltQTBnxQOT@<KnD|
ziHR@41jHGJA^;agLBXGy7>tYYvjdzIPRGE&#&Kz=AEM`l=isk~05bU|D8wQf>4r!z
zVY>mA1=bU?|4oTyAAf&uk*V@TTBL!4skv9{duKX6iw^~Mzof`Dz=-aGoVf%XMu4Ms
z=g9=XmH%~P0KFy7wsxU`Qq%P*^rb`jUys53(J8Zu1HBpH7XcxbdW}VD%)+bD6LM8c
zgJsI#t<wnD#Ci^bVipdl0KK_uwt5}RE7*U=uY*E0TheC$nD#MOGsnPlQzK5yQwQKQ
z{#F;cex`oi?(}8cNR2K?>8fA{fhxZlmau;pq?T=?@Pn53b^Xwv54+C9?X4#q=9ZTW
zl50#K(wYxWzg@+mFG+rto^FlFK*9&Smf6mfZ*6VPJ3qlPn)g1K@#eMcWfRbxO&I9P
zN0h`fXEXs6Vyr@-?}PDz7}iZgM7aiQ@iq^S?yxOkZ!;TIcXjm-K(`P#8j=HM96F`L
z_o!qCHo?kycU^S#&+|yy!swefGV4ck$2oUxeO*)|d(?iz))_1j0O!tDfzidJZ~F-;
z*6#cX;sLHz3f~Mt&uo9!Ge5ENt6__v94q*Ea%zftxfY*qkJZqk7AMRpljUIDJ}+lw
zW^&zwF7FM4c&(ze`N6k1TqPKL5C%KdIH1dEtKSU|x~%J3w2Dit$r`wTu)l#x$4kgO
z-~Rpy`sekRptD+qE}HrfA|jYM{`r?zZ{F~pp%om<PnbME)SnLl&UKyo^hGwaLITLe
zd>}k6uZ@md4)vFUyKoPpeHHYH!LpXS(#A^%+mejlf&unHWXy=AI|>qX4t`^K)DXJe
z8EZ}!7FB?L=cS=6;I9`$fPOBALo*67`MYcY%naz4VbG>kHiM;#P%*HOhkdD9nV|IS
zHFA0-38ANptGo<*drR5>Vc?`#Sg7pNrw+0A4j^`K;ecqW!MYHOp>LmrVY1Dc03#E>
z9WpoxEMm~$w{EGWXM&24gsY{OUx<V0;K4Xm9b(OmK27lVKMpK(KH4(B6DBTgBlnLR
zPPLU<Pjb$1jb6@OKhMq04YkL9UONZNA`e8>+CBl=U}TsBhH)UvxBA7eXu)&5g>gox
zVZBgoFfcW9KNLD5$Bo%eO(JvI&WO@~oOv-^F?0hG9O^jY1%~t1p}sJSOQ|KelTMv7
zR6x-&EnDs4hk61-b}zd5@TXl$ar?XLPRljh{Qb^zX_52DEP<lH@T6nw!IwB|*4=)g
zAA|a;bi>duSg{$_4*jh2uCt%~dUgWNO8`>zcO+yeC-9Rt^bSXT`0#Xbq-KzdR99;}
z^I^&x5Mq07-n_~6mO<Rc8=N8Xk$oYthL6sCqz&Z|iEm*1#ux?&nxHQX2CmO2B-F1f
z-oOkh7BxsOO;9m|!NI%X?QOb@b{_1-Vt>EQ*QaNU+y=RF1iP*Yf?m3%R;#_rtGC*U
za~@x6Lbr>W-o1PG5{%z+L9ztDJWWNTU+KsVVqEnqk4I>cwL8a0GqWEL+luq*;u=V#
zY@EmHk1(>cx6bw#Wt;`ecmp@s_j`%S$=C2=hF-gAS6jZev~UBf0;fxdwg`!anssT9
zH#|6tOa2el)QpF`4+&uHh`xbPqydY<GVD;gflCu(Fg!kLm@+-E1z{n8j6I}iVGQo|
z<?9DC9PTvF=quTpw3Q;O4rNjx4QhPih#SDlDJk(Iwi3D4^58&ssVO5#T>I}*bP1Uu
z^)a{K75Q)X^L2dI1H7V}J!&Hy4HHW7B3a;|K<<AXOhb8vTp_N%#bfdVA)KIrA;8<%
z)HGkYkl&rHk<(VyX#pXG!}E)=T?~qUKK^>WGy!kc0v>3#_rZFC+iX$*ZT2?8NL5tc
zL1!1^={;8ehuh?P*=Q>T1%>WI!swyU#xC5T0~wv_sKp`eC=@hH@QLVm#S$4|=+JHe
zN`lk=jy*D=hYSNF1s7sw0lNPln8)pSI*MpsFd<zgzO_7x0ePFh-=sjhZ4ko*DtKS2
zd{|GOu0ViA9Pnxgn+-Ujgzb?42Cqz*XMXnd>CZCYndZ%J>BQWb*AVL*$y?Cfs`XEe
z^?|h&dl7UhKzx0V)kb9akKTLV{+X%i0*tBkf(#eEc$uC)A3n!3-nelOSg~ax`^}rP
z)r9Eoj*di7wh7hmRCRT8U|sXTw=}i2qwWRMq<J6WM?+KF;_e{I#|#!^WzD=UNDi2o
zQNfoYYyeOlQ3j=@UqB1o13K1Ae}7;O^2k^f4lf1;z-@ObG92pka*M_O$cq!?7C)l6
z5z+*e!=yDj4IrpL#ClO4@uDtVzMKPn_X5o3Ae)wm=mwzNeSq0yF!W-2MBujij-4{F
znC_PcrbjzY!Gu{P4Ufqij;h7m)-b<gJ!%ih0N0)kWX%V_{^JCF2ZZznI4Sess6_Lc
zhaz)-`}-d92<e3U+5~BQAVdh<D+3TAZ`4SJBHR*jx<ju6xCJ#PgDi@eOWhc6f~Dxe
z&IBUtTsL1Ds)!bGEvyMxgp-Fd_E1A3ysNt#n<7h&>o1ap?Ck)1Is-~fVv7q{F$i%)
z=14Xdi`o%~v2wNP^6xK0JqPC{0jg?y%z0jzgzy9bB;Q=UKDXLs!X0(62%;drP3`Wq
z$!N^&XMx-x{oohGJohd^Nx28-L|APGowRxa27io2wujJE`%6%YsR2R#u@)t^czE<T
zAiAWKmzTHHLQUbj$fj-N4Mx4$1YEhauI<~m+b}I;p{}VpPzHQsV750e#vba(MN4D~
zfg7|f{KE8rG0gS<MhN7<%B=ef8%an>d12}h*StB`-E3xN_Gvi`FjNoS%D2@gzQ6L~
z?8S>F`v}ci+eJ_R;D&*C-Q2VFFQJ8}AnI7X<ZnN6cLq6O$gEFwZ^7K!Teq~ZK$M%w
zJ4jyvHHeIcH?yS{+CQk<g>|*yUGti@(IVshF!h1ha5ogAQ=$LBivbd=VGL@bNy7=d
z?cTkR_)umZ!t_vPe!db+#<=D<(TjO#BO^k<_ZA29E9Y4r<!M4QdJB}SQ0pjGu9XKT
zJVD|1+DKvOH-u3tMEe@`SXT^dCx>taikZWQGNS|i@;e<|3HT4>5QxkG_8hzW;L*Y0
zOAg!&jwRGeS`YRgu^oJUeWMq>xBTX_)G{o9@F2khlS4YVp9Rt|<Z51c2%HQtx$z5H
zhMpSenKmp>yGRNYl$QYkmS95+fcvT7r3_3xrrM_Z-13n1j6pE;u<770ME0PfC}BYg
zNPHpgGGfDQ(FKcg!)V?|LP7xev9ODt>#YKn)6teXBK#sEdSN#dyI^~ekx<ao`1(h=
zNNaYdWA+9|4@^c&jhoLPEEI@InJswgR%;dTJQi@eh1Q_H=@gj+1F2uEkpfnvVq}yU
z8X6kAhcmt7IQtIHcaR|D^O5@zjZZiHVTJ~@iQotjX2cIW)s#ikz(IK=F!DSFoYSS!
z<zVpVfZUaM;+^rOu#P!!qLA?r#EJI=#6YH2i=hpNKuc>`1-gb9N(iADhWe;D0+cra
z<a?)0tkz%|8LglS(n{P}u1-M+LeNF_E|@TmrtJfJicZi@0$NF7*R|C7g$1xDT(T4*
zIgmL}#5_ejHkbqG0YF)7c+v(9XK$@1-Vvlk7!pSn{YG~9%MDIM<3J{=AlJiT<a8#%
z+W^Sl44HDpK+X0@j?+RfUw<hKQz6nO%w=T4zBqnoFEeY87lr=OtZ)>joAXjruWM*(
z##8+)EGpXUPB>7H6ONnXYX9-0$GU7d9r&18Pv*nDtwGzEjWhDdcy>69mmtOsu&sdt
z;{eFgY%ru{p~<LR`^NgagM$Wo4=&ZSG@1|>m*?l_r|DjY($oIyPi{~?rP*0o4^>q|
zk=a-#X6C9zGy=?)zrMUg!0WqMHytw25kT)IhdAA33P<*7K-Aw?H8acX&DYO?-k@@k
zXJLLGQMiZg8pt^C4_pLcD-kL%Y~M^b!f|ZH9Y+1&55|&_3E-%U$X`|cH(q-Wi5BT}
VwndW+hCt0k$;&9+&6hIr{a=cJ>puVh

diff --git a/_sources/core/fine-tuning/fine-tuning-oxides.md b/_sources/core/fine-tuning/fine-tuning-oxides.md
index 5c1f9915b..c5e12e123 100644
--- a/_sources/core/fine-tuning/fine-tuning-oxides.md
+++ b/_sources/core/fine-tuning/fine-tuning-oxides.md
@@ -208,8 +208,8 @@ yml = generate_yml_config(checkpoint_path, 'config.yml',
                            'dataset', 'test_dataset', 'val_dataset'],
                    update={'gpus': 1,
                            'task.dataset': 'ase_db',
-                           'optim.eval_every': 1,
-                           'optim.max_epochs': 4,
+                           'optim.eval_every': 10,
+                           'optim.max_epochs': 1,
                            'optim.batch_size': 4,
                             'logger':'tensorboard', # don't use wandb!
                            # Train data
diff --git a/_sources/index.md b/_sources/index.md
index d2271dc2a..b077d0e1a 100644
--- a/_sources/index.md
+++ b/_sources/index.md
@@ -4,7 +4,7 @@
 [![codecov](https://codecov.io/gh/Open-Catalyst-Project/ocp/graph/badge.svg?token=M606LH5LK6)](https://codecov.io/gh/Open-Catalyst-Project/ocp)
 
 `ocp` is the [Open Catalyst Project](https://opencatalystproject.org/)'s
-library of state-of-the-art machine learning algorithms for catalysis.
+library of state-of-the-art machine learning algorithms for chemistry. We've used it for catalysis and direct air capture (MOF) applications, and we hope it's useful for your projects too!
 
 <div align="left">
     <img src="https://user-images.githubusercontent.com/1156489/170388229-642c6619-dece-4c88-85ef-b46f4d5f1031.gif">
diff --git a/_sources/tutorials/advanced/fine-tuning-in-python.md b/_sources/tutorials/advanced/fine-tuning-in-python.md
index 2e16dc3fe..66166313a 100644
--- a/_sources/tutorials/advanced/fine-tuning-in-python.md
+++ b/_sources/tutorials/advanced/fine-tuning-in-python.md
@@ -80,8 +80,8 @@ yml = generate_yml_config(checkpoint_path, 'config.yml',
                            'dataset', 'test_dataset', 'val_dataset'],
                    update={'gpus': 1,
                            'task.dataset': 'ase_db',
-                           'optim.eval_every': 1,
-                           'optim.max_epochs': 4,
+                           'optim.eval_every': 10,
+                           'optim.max_epochs': 1,
                            'optim.batch_size': 4,
                            'logger': 'tensorboard', # don't use wandb unless you already are logged in 
                            # Train data
diff --git a/_static/basic.css b/_static/basic.css
index e760386bd..2af6139e6 100644
--- a/_static/basic.css
+++ b/_static/basic.css
@@ -4,7 +4,7 @@
  *
  * Sphinx stylesheet -- basic theme.
  *
- * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
diff --git a/_static/doctools.js b/_static/doctools.js
index d06a71d75..4d67807d1 100644
--- a/_static/doctools.js
+++ b/_static/doctools.js
@@ -4,7 +4,7 @@
  *
  * Base JavaScript utilities for all Sphinx HTML documentation.
  *
- * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
diff --git a/_static/graphviz.css b/_static/graphviz.css
index 8d81c02ed..027576e34 100644
--- a/_static/graphviz.css
+++ b/_static/graphviz.css
@@ -4,7 +4,7 @@
  *
  * Sphinx stylesheet -- graphviz extension.
  *
- * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
diff --git a/_static/language_data.js b/_static/language_data.js
index 250f5665f..367b8ed81 100644
--- a/_static/language_data.js
+++ b/_static/language_data.js
@@ -5,7 +5,7 @@
  * This script contains the language-specific data used by searchtools.js,
  * namely the list of stopwords, stemmer, scorer and splitter.
  *
- * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -13,7 +13,7 @@
 var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"];
 
 
-/* Non-minified version is copied as a separate JS file, is available */
+/* Non-minified version is copied as a separate JS file, if available */
 
 /**
  * Porter Stemmer
diff --git a/_static/searchtools.js b/_static/searchtools.js
index 7918c3fab..92da3f8b2 100644
--- a/_static/searchtools.js
+++ b/_static/searchtools.js
@@ -4,7 +4,7 @@
  *
  * Sphinx JavaScript utilities for the full-text search.
  *
- * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -99,7 +99,7 @@ const _displayItem = (item, searchTerms, highlightTerms) => {
       .then((data) => {
         if (data)
           listItem.appendChild(
-            Search.makeSearchSummary(data, searchTerms)
+            Search.makeSearchSummary(data, searchTerms, anchor)
           );
         // highlight search terms in the summary
         if (SPHINX_HIGHLIGHT_ENABLED)  // set in sphinx_highlight.js
@@ -116,8 +116,8 @@ const _finishSearch = (resultCount) => {
     );
   else
     Search.status.innerText = _(
-      `Search finished, found ${resultCount} page(s) matching the search query.`
-    );
+      "Search finished, found ${resultCount} page(s) matching the search query."
+    ).replace('${resultCount}', resultCount);
 };
 const _displayNextItem = (
   results,
@@ -137,6 +137,22 @@ const _displayNextItem = (
   // search finished, update title and status message
   else _finishSearch(resultCount);
 };
+// Helper function used by query() to order search results.
+// Each input is an array of [docname, title, anchor, descr, score, filename].
+// Order the results by score (in opposite order of appearance, since the
+// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically.
+const _orderResultsByScoreThenName = (a, b) => {
+  const leftScore = a[4];
+  const rightScore = b[4];
+  if (leftScore === rightScore) {
+    // same score: sort alphabetically
+    const leftTitle = a[1].toLowerCase();
+    const rightTitle = b[1].toLowerCase();
+    if (leftTitle === rightTitle) return 0;
+    return leftTitle > rightTitle ? -1 : 1; // inverted is intentional
+  }
+  return leftScore > rightScore ? 1 : -1;
+};
 
 /**
  * Default splitQuery function. Can be overridden in ``sphinx.search`` with a
@@ -160,13 +176,26 @@ const Search = {
   _queued_query: null,
   _pulse_status: -1,
 
-  htmlToText: (htmlString) => {
+  htmlToText: (htmlString, anchor) => {
     const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html');
-    htmlElement.querySelectorAll(".headerlink").forEach((el) => { el.remove() });
+    for (const removalQuery of [".headerlinks", "script", "style"]) {
+      htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() });
+    }
+    if (anchor) {
+      const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`);
+      if (anchorContent) return anchorContent.textContent;
+
+      console.warn(
+        `Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.`
+      );
+    }
+
+    // if anchor not specified or not found, fall back to main content
     const docContent = htmlElement.querySelector('[role="main"]');
-    if (docContent !== undefined) return docContent.textContent;
+    if (docContent) return docContent.textContent;
+
     console.warn(
-      "Content block not found. Sphinx search tries to obtain it via '[role=main]'. Could you check your theme or template."
+      "Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template."
     );
     return "";
   },
@@ -239,16 +268,7 @@ const Search = {
     else Search.deferQuery(query);
   },
 
-  /**
-   * execute search (requires search index to be loaded)
-   */
-  query: (query) => {
-    const filenames = Search._index.filenames;
-    const docNames = Search._index.docnames;
-    const titles = Search._index.titles;
-    const allTitles = Search._index.alltitles;
-    const indexEntries = Search._index.indexentries;
-
+  _parseQuery: (query) => {
     // stem the search terms and add them to the correct list
     const stemmer = new Stemmer();
     const searchTerms = new Set();
@@ -284,16 +304,32 @@ const Search = {
     // console.info("required: ", [...searchTerms]);
     // console.info("excluded: ", [...excludedTerms]);
 
-    // array of [docname, title, anchor, descr, score, filename]
-    let results = [];
+    return [query, searchTerms, excludedTerms, highlightTerms, objectTerms];
+  },
+
+  /**
+   * execute search (requires search index to be loaded)
+   */
+  _performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
+    const allTitles = Search._index.alltitles;
+    const indexEntries = Search._index.indexentries;
+
+    // Collect multiple result groups to be sorted separately and then ordered.
+    // Each is an array of [docname, title, anchor, descr, score, filename].
+    const normalResults = [];
+    const nonMainIndexResults = [];
+
     _removeChildren(document.getElementById("search-progress"));
 
-    const queryLower = query.toLowerCase();
+    const queryLower = query.toLowerCase().trim();
     for (const [title, foundTitles] of Object.entries(allTitles)) {
-      if (title.toLowerCase().includes(queryLower) && (queryLower.length >= title.length/2)) {
+      if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) {
         for (const [file, id] of foundTitles) {
           let score = Math.round(100 * queryLower.length / title.length)
-          results.push([
+          normalResults.push([
             docNames[file],
             titles[file] !== title ? `${titles[file]} > ${title}` : title,
             id !== null ? "#" + id : "",
@@ -308,46 +344,47 @@ const Search = {
     // search for explicit entries in index directives
     for (const [entry, foundEntries] of Object.entries(indexEntries)) {
       if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) {
-        for (const [file, id] of foundEntries) {
-          let score = Math.round(100 * queryLower.length / entry.length)
-          results.push([
+        for (const [file, id, isMain] of foundEntries) {
+          const score = Math.round(100 * queryLower.length / entry.length);
+          const result = [
             docNames[file],
             titles[file],
             id ? "#" + id : "",
             null,
             score,
             filenames[file],
-          ]);
+          ];
+          if (isMain) {
+            normalResults.push(result);
+          } else {
+            nonMainIndexResults.push(result);
+          }
         }
       }
     }
 
     // lookup as object
     objectTerms.forEach((term) =>
-      results.push(...Search.performObjectSearch(term, objectTerms))
+      normalResults.push(...Search.performObjectSearch(term, objectTerms))
     );
 
     // lookup as search terms in fulltext
-    results.push(...Search.performTermsSearch(searchTerms, excludedTerms));
+    normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms));
 
     // let the scorer override scores with a custom scoring function
-    if (Scorer.score) results.forEach((item) => (item[4] = Scorer.score(item)));
-
-    // now sort the results by score (in opposite order of appearance, since the
-    // display function below uses pop() to retrieve items) and then
-    // alphabetically
-    results.sort((a, b) => {
-      const leftScore = a[4];
-      const rightScore = b[4];
-      if (leftScore === rightScore) {
-        // same score: sort alphabetically
-        const leftTitle = a[1].toLowerCase();
-        const rightTitle = b[1].toLowerCase();
-        if (leftTitle === rightTitle) return 0;
-        return leftTitle > rightTitle ? -1 : 1; // inverted is intentional
-      }
-      return leftScore > rightScore ? 1 : -1;
-    });
+    if (Scorer.score) {
+      normalResults.forEach((item) => (item[4] = Scorer.score(item)));
+      nonMainIndexResults.forEach((item) => (item[4] = Scorer.score(item)));
+    }
+
+    // Sort each group of results by score and then alphabetically by name.
+    normalResults.sort(_orderResultsByScoreThenName);
+    nonMainIndexResults.sort(_orderResultsByScoreThenName);
+
+    // Combine the result groups in (reverse) order.
+    // Non-main index entries are typically arbitrary cross-references,
+    // so display them after other results.
+    let results = [...nonMainIndexResults, ...normalResults];
 
     // remove duplicate search results
     // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept
@@ -361,7 +398,12 @@ const Search = {
       return acc;
     }, []);
 
-    results = results.reverse();
+    return results.reverse();
+  },
+
+  query: (query) => {
+    const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query);
+    const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms);
 
     // for debugging
     //Search.lastresults = results.slice();  // a copy
@@ -466,14 +508,18 @@ const Search = {
       // add support for partial matches
       if (word.length > 2) {
         const escapedWord = _escapeRegExp(word);
-        Object.keys(terms).forEach((term) => {
-          if (term.match(escapedWord) && !terms[word])
-            arr.push({ files: terms[term], score: Scorer.partialTerm });
-        });
-        Object.keys(titleTerms).forEach((term) => {
-          if (term.match(escapedWord) && !titleTerms[word])
-            arr.push({ files: titleTerms[word], score: Scorer.partialTitle });
-        });
+        if (!terms.hasOwnProperty(word)) {
+          Object.keys(terms).forEach((term) => {
+            if (term.match(escapedWord))
+              arr.push({ files: terms[term], score: Scorer.partialTerm });
+          });
+        }
+        if (!titleTerms.hasOwnProperty(word)) {
+          Object.keys(titleTerms).forEach((term) => {
+            if (term.match(escapedWord))
+              arr.push({ files: titleTerms[term], score: Scorer.partialTitle });
+          });
+        }
       }
 
       // no match but word was a required one
@@ -496,9 +542,8 @@ const Search = {
 
       // create the mapping
       files.forEach((file) => {
-        if (fileMap.has(file) && fileMap.get(file).indexOf(word) === -1)
-          fileMap.get(file).push(word);
-        else fileMap.set(file, [word]);
+        if (!fileMap.has(file)) fileMap.set(file, [word]);
+        else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word);
       });
     });
 
@@ -549,8 +594,8 @@ const Search = {
    * search summary for a given text. keywords is a list
    * of stemmed words.
    */
-  makeSearchSummary: (htmlText, keywords) => {
-    const text = Search.htmlToText(htmlText);
+  makeSearchSummary: (htmlText, keywords, anchor) => {
+    const text = Search.htmlToText(htmlText, anchor);
     if (text === "") return null;
 
     const textLower = text.toLowerCase();
diff --git a/autoapi/index.html b/autoapi/index.html
index d3295d293..427e49818 100644
--- a/autoapi/index.html
+++ b/autoapi/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
@@ -58,6 +58,8 @@
     <script async="async" src="../_static/sphinx-thebe.js?v=c100c467"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
+    <script>window.MathJax = {"options": {"processHtmlClass": "tex2jax_process|mathjax_process|math|output_area"}}</script>
+    <script defer="defer" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'autoapi/index';</script>
     <link rel="index" title="Index" href="../genindex.html" />
     <link rel="search" title="Search" href="../search.html" />
diff --git a/autoapi/ocpmodels/common/data_parallel/index.html b/autoapi/ocpmodels/common/data_parallel/index.html
index 316d8fef2..12866b4af 100644
--- a/autoapi/ocpmodels/common/data_parallel/index.html
+++ b/autoapi/ocpmodels/common/data_parallel/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/distutils/index.html b/autoapi/ocpmodels/common/distutils/index.html
index 61a8727cc..dbaa0c1b3 100644
--- a/autoapi/ocpmodels/common/distutils/index.html
+++ b/autoapi/ocpmodels/common/distutils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/flags/index.html b/autoapi/ocpmodels/common/flags/index.html
index f6809ea90..20f4d6764 100644
--- a/autoapi/ocpmodels/common/flags/index.html
+++ b/autoapi/ocpmodels/common/flags/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/gp_utils/index.html b/autoapi/ocpmodels/common/gp_utils/index.html
index 73697f2c7..038fadb3c 100644
--- a/autoapi/ocpmodels/common/gp_utils/index.html
+++ b/autoapi/ocpmodels/common/gp_utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/hpo_utils/index.html b/autoapi/ocpmodels/common/hpo_utils/index.html
index 993d277ae..c2af66e5f 100644
--- a/autoapi/ocpmodels/common/hpo_utils/index.html
+++ b/autoapi/ocpmodels/common/hpo_utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/index.html b/autoapi/ocpmodels/common/index.html
index f5c1f8568..afc9381e1 100644
--- a/autoapi/ocpmodels/common/index.html
+++ b/autoapi/ocpmodels/common/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../_static/copybutton.js?v=f281be69"></script>
@@ -58,6 +58,8 @@
     <script async="async" src="../../../_static/sphinx-thebe.js?v=c100c467"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
+    <script>window.MathJax = {"options": {"processHtmlClass": "tex2jax_process|mathjax_process|math|output_area"}}</script>
+    <script defer="defer" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'autoapi/ocpmodels/common/index';</script>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
diff --git a/autoapi/ocpmodels/common/logger/index.html b/autoapi/ocpmodels/common/logger/index.html
index 27ed001b8..f0af1f4ed 100644
--- a/autoapi/ocpmodels/common/logger/index.html
+++ b/autoapi/ocpmodels/common/logger/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/registry/index.html b/autoapi/ocpmodels/common/registry/index.html
index b6a28469a..27c11c6e8 100644
--- a/autoapi/ocpmodels/common/registry/index.html
+++ b/autoapi/ocpmodels/common/registry/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/relaxation/ase_utils/index.html b/autoapi/ocpmodels/common/relaxation/ase_utils/index.html
index 4478a073a..f32ade73b 100644
--- a/autoapi/ocpmodels/common/relaxation/ase_utils/index.html
+++ b/autoapi/ocpmodels/common/relaxation/ase_utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/relaxation/index.html b/autoapi/ocpmodels/common/relaxation/index.html
index 35f2a9f0a..c5aaeee16 100644
--- a/autoapi/ocpmodels/common/relaxation/index.html
+++ b/autoapi/ocpmodels/common/relaxation/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/relaxation/ml_relaxation/index.html b/autoapi/ocpmodels/common/relaxation/ml_relaxation/index.html
index 100bf895f..444b0361b 100644
--- a/autoapi/ocpmodels/common/relaxation/ml_relaxation/index.html
+++ b/autoapi/ocpmodels/common/relaxation/ml_relaxation/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/relaxation/optimizers/index.html b/autoapi/ocpmodels/common/relaxation/optimizers/index.html
index 4c984134c..a534e92bf 100644
--- a/autoapi/ocpmodels/common/relaxation/optimizers/index.html
+++ b/autoapi/ocpmodels/common/relaxation/optimizers/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/relaxation/optimizers/lbfgs_torch/index.html b/autoapi/ocpmodels/common/relaxation/optimizers/lbfgs_torch/index.html
index 852ea8aa3..de347840f 100644
--- a/autoapi/ocpmodels/common/relaxation/optimizers/lbfgs_torch/index.html
+++ b/autoapi/ocpmodels/common/relaxation/optimizers/lbfgs_torch/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/transforms/index.html b/autoapi/ocpmodels/common/transforms/index.html
index f27427e1b..cca7c51e6 100644
--- a/autoapi/ocpmodels/common/transforms/index.html
+++ b/autoapi/ocpmodels/common/transforms/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/tutorial_utils/index.html b/autoapi/ocpmodels/common/tutorial_utils/index.html
index 66140ddd1..a11c2e6c7 100644
--- a/autoapi/ocpmodels/common/tutorial_utils/index.html
+++ b/autoapi/ocpmodels/common/tutorial_utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/typing/index.html b/autoapi/ocpmodels/common/typing/index.html
index d685c79f2..b535482bf 100644
--- a/autoapi/ocpmodels/common/typing/index.html
+++ b/autoapi/ocpmodels/common/typing/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/common/utils/index.html b/autoapi/ocpmodels/common/utils/index.html
index 4396143d3..875a12671 100644
--- a/autoapi/ocpmodels/common/utils/index.html
+++ b/autoapi/ocpmodels/common/utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/datasets/_utils/index.html b/autoapi/ocpmodels/datasets/_utils/index.html
index e48a3d55b..c8c727559 100644
--- a/autoapi/ocpmodels/datasets/_utils/index.html
+++ b/autoapi/ocpmodels/datasets/_utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/datasets/ase_datasets/index.html b/autoapi/ocpmodels/datasets/ase_datasets/index.html
index 9da122f8c..4394c422e 100644
--- a/autoapi/ocpmodels/datasets/ase_datasets/index.html
+++ b/autoapi/ocpmodels/datasets/ase_datasets/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/datasets/embeddings/atomic_radii/index.html b/autoapi/ocpmodels/datasets/embeddings/atomic_radii/index.html
index f2eab7fd6..2f3dd7851 100644
--- a/autoapi/ocpmodels/datasets/embeddings/atomic_radii/index.html
+++ b/autoapi/ocpmodels/datasets/embeddings/atomic_radii/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/datasets/embeddings/continuous_embeddings/index.html b/autoapi/ocpmodels/datasets/embeddings/continuous_embeddings/index.html
index 8da744833..a1519a410 100644
--- a/autoapi/ocpmodels/datasets/embeddings/continuous_embeddings/index.html
+++ b/autoapi/ocpmodels/datasets/embeddings/continuous_embeddings/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/datasets/embeddings/index.html b/autoapi/ocpmodels/datasets/embeddings/index.html
index db1551f9e..f64d0e0d2 100644
--- a/autoapi/ocpmodels/datasets/embeddings/index.html
+++ b/autoapi/ocpmodels/datasets/embeddings/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/datasets/embeddings/khot_embeddings/index.html b/autoapi/ocpmodels/datasets/embeddings/khot_embeddings/index.html
index 35459f3e8..80cf3f088 100644
--- a/autoapi/ocpmodels/datasets/embeddings/khot_embeddings/index.html
+++ b/autoapi/ocpmodels/datasets/embeddings/khot_embeddings/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/datasets/embeddings/qmof_khot_embeddings/index.html b/autoapi/ocpmodels/datasets/embeddings/qmof_khot_embeddings/index.html
index 68732a793..e9d40eeb7 100644
--- a/autoapi/ocpmodels/datasets/embeddings/qmof_khot_embeddings/index.html
+++ b/autoapi/ocpmodels/datasets/embeddings/qmof_khot_embeddings/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/datasets/index.html b/autoapi/ocpmodels/datasets/index.html
index fda3780f1..98d90bf33 100644
--- a/autoapi/ocpmodels/datasets/index.html
+++ b/autoapi/ocpmodels/datasets/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/datasets/lmdb_database/index.html b/autoapi/ocpmodels/datasets/lmdb_database/index.html
index 16ba647fa..c486fda5e 100644
--- a/autoapi/ocpmodels/datasets/lmdb_database/index.html
+++ b/autoapi/ocpmodels/datasets/lmdb_database/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/datasets/lmdb_dataset/index.html b/autoapi/ocpmodels/datasets/lmdb_dataset/index.html
index a530a3552..061bb79c2 100644
--- a/autoapi/ocpmodels/datasets/lmdb_dataset/index.html
+++ b/autoapi/ocpmodels/datasets/lmdb_dataset/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/datasets/oc22_lmdb_dataset/index.html b/autoapi/ocpmodels/datasets/oc22_lmdb_dataset/index.html
index f5cf57494..333c7e467 100644
--- a/autoapi/ocpmodels/datasets/oc22_lmdb_dataset/index.html
+++ b/autoapi/ocpmodels/datasets/oc22_lmdb_dataset/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/datasets/target_metadata_guesser/index.html b/autoapi/ocpmodels/datasets/target_metadata_guesser/index.html
index d14e62e76..ef29234f8 100644
--- a/autoapi/ocpmodels/datasets/target_metadata_guesser/index.html
+++ b/autoapi/ocpmodels/datasets/target_metadata_guesser/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/index.html b/autoapi/ocpmodels/index.html
index a12125ee5..a12be4e70 100644
--- a/autoapi/ocpmodels/index.html
+++ b/autoapi/ocpmodels/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../_static/copybutton.js?v=f281be69"></script>
@@ -58,6 +58,8 @@
     <script async="async" src="../../_static/sphinx-thebe.js?v=c100c467"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
+    <script>window.MathJax = {"options": {"processHtmlClass": "tex2jax_process|mathjax_process|math|output_area"}}</script>
+    <script defer="defer" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'autoapi/ocpmodels/index';</script>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
diff --git a/autoapi/ocpmodels/models/base/index.html b/autoapi/ocpmodels/models/base/index.html
index 150f9f9d0..f6e893683 100644
--- a/autoapi/ocpmodels/models/base/index.html
+++ b/autoapi/ocpmodels/models/base/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/dimenet_plus_plus/index.html b/autoapi/ocpmodels/models/dimenet_plus_plus/index.html
index f2d937d06..0a622cc73 100644
--- a/autoapi/ocpmodels/models/dimenet_plus_plus/index.html
+++ b/autoapi/ocpmodels/models/dimenet_plus_plus/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/activation/index.html b/autoapi/ocpmodels/models/equiformer_v2/activation/index.html
index 7a26a9446..73f708758 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/activation/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/activation/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/drop/index.html b/autoapi/ocpmodels/models/equiformer_v2/drop/index.html
index ef9903c5f..b7d9d60e7 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/drop/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/drop/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/edge_rot_mat/index.html b/autoapi/ocpmodels/models/equiformer_v2/edge_rot_mat/index.html
index a5f89b743..59db44f3a 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/edge_rot_mat/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/edge_rot_mat/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/equiformer_v2_oc20/index.html b/autoapi/ocpmodels/models/equiformer_v2/equiformer_v2_oc20/index.html
index de6854b18..d455657aa 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/equiformer_v2_oc20/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/equiformer_v2_oc20/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/gaussian_rbf/index.html b/autoapi/ocpmodels/models/equiformer_v2/gaussian_rbf/index.html
index 629e33131..16478b7da 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/gaussian_rbf/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/gaussian_rbf/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/index.html b/autoapi/ocpmodels/models/equiformer_v2/index.html
index a8fea3789..351b17af6 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/input_block/index.html b/autoapi/ocpmodels/models/equiformer_v2/input_block/index.html
index 461f9ddc6..4685ce7b2 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/input_block/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/input_block/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/layer_norm/index.html b/autoapi/ocpmodels/models/equiformer_v2/layer_norm/index.html
index a625b488a..9ae93e66c 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/layer_norm/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/layer_norm/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/module_list/index.html b/autoapi/ocpmodels/models/equiformer_v2/module_list/index.html
index f50b711b2..004eef25e 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/module_list/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/module_list/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/radial_function/index.html b/autoapi/ocpmodels/models/equiformer_v2/radial_function/index.html
index 86d962716..dd7277c87 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/radial_function/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/radial_function/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/so2_ops/index.html b/autoapi/ocpmodels/models/equiformer_v2/so2_ops/index.html
index 8fa71d54e..1d3da0d64 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/so2_ops/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/so2_ops/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/so3/index.html b/autoapi/ocpmodels/models/equiformer_v2/so3/index.html
index 048314aac..11a2daa96 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/so3/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/so3/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/trainers/energy_trainer/index.html b/autoapi/ocpmodels/models/equiformer_v2/trainers/energy_trainer/index.html
index 0432f170c..1b5648b2e 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/trainers/energy_trainer/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/trainers/energy_trainer/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/trainers/forces_trainer/index.html b/autoapi/ocpmodels/models/equiformer_v2/trainers/forces_trainer/index.html
index ad7df5ed6..eb8c7f536 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/trainers/forces_trainer/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/trainers/forces_trainer/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/trainers/index.html b/autoapi/ocpmodels/models/equiformer_v2/trainers/index.html
index 843e16e7c..6ebec7a65 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/trainers/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/trainers/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/trainers/lr_scheduler/index.html b/autoapi/ocpmodels/models/equiformer_v2/trainers/lr_scheduler/index.html
index 4db0d58a2..32cdb4709 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/trainers/lr_scheduler/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/trainers/lr_scheduler/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/transformer_block/index.html b/autoapi/ocpmodels/models/equiformer_v2/transformer_block/index.html
index aced85078..d3d20ccb6 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/transformer_block/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/transformer_block/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/equiformer_v2/wigner/index.html b/autoapi/ocpmodels/models/equiformer_v2/wigner/index.html
index e3c730e45..76ae5f71b 100644
--- a/autoapi/ocpmodels/models/equiformer_v2/wigner/index.html
+++ b/autoapi/ocpmodels/models/equiformer_v2/wigner/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/escn/escn/index.html b/autoapi/ocpmodels/models/escn/escn/index.html
index d6be95460..dfcb5f51c 100644
--- a/autoapi/ocpmodels/models/escn/escn/index.html
+++ b/autoapi/ocpmodels/models/escn/escn/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/escn/index.html b/autoapi/ocpmodels/models/escn/index.html
index b093580e7..35870de0e 100644
--- a/autoapi/ocpmodels/models/escn/index.html
+++ b/autoapi/ocpmodels/models/escn/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/escn/so3/index.html b/autoapi/ocpmodels/models/escn/so3/index.html
index 05d80a1a2..93c2ff239 100644
--- a/autoapi/ocpmodels/models/escn/so3/index.html
+++ b/autoapi/ocpmodels/models/escn/so3/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet/gemnet/index.html b/autoapi/ocpmodels/models/gemnet/gemnet/index.html
index c4f3fc4aa..d0c72d34f 100644
--- a/autoapi/ocpmodels/models/gemnet/gemnet/index.html
+++ b/autoapi/ocpmodels/models/gemnet/gemnet/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
@@ -609,8 +609,8 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>(</strong><strong>int</strong><strong>)</strong> (<em>bond_feat_dim</em>) – </p></li>
-<li><p><strong>(</strong><strong>int</strong><strong>)</strong> – </p></li>
+<li><p><strong>(</strong><strong>int</strong><strong>)</strong> (<em>bond_feat_dim</em>)</p></li>
+<li><p><strong>(</strong><strong>int</strong><strong>)</strong></p></li>
 <li><p><strong>num_targets</strong> (<em>int</em>) – Number of prediction targets.</p></li>
 <li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
 <li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
diff --git a/autoapi/ocpmodels/models/gemnet/index.html b/autoapi/ocpmodels/models/gemnet/index.html
index 976844809..f8b830893 100644
--- a/autoapi/ocpmodels/models/gemnet/index.html
+++ b/autoapi/ocpmodels/models/gemnet/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
@@ -636,8 +636,8 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>(</strong><strong>int</strong><strong>)</strong> (<em>bond_feat_dim</em>) – </p></li>
-<li><p><strong>(</strong><strong>int</strong><strong>)</strong> – </p></li>
+<li><p><strong>(</strong><strong>int</strong><strong>)</strong> (<em>bond_feat_dim</em>)</p></li>
+<li><p><strong>(</strong><strong>int</strong><strong>)</strong></p></li>
 <li><p><strong>num_targets</strong> (<em>int</em>) – Number of prediction targets.</p></li>
 <li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
 <li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
diff --git a/autoapi/ocpmodels/models/gemnet/initializers/index.html b/autoapi/ocpmodels/models/gemnet/initializers/index.html
index 1d1791b12..8708a8049 100644
--- a/autoapi/ocpmodels/models/gemnet/initializers/index.html
+++ b/autoapi/ocpmodels/models/gemnet/initializers/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet/layers/atom_update_block/index.html b/autoapi/ocpmodels/models/gemnet/layers/atom_update_block/index.html
index 9d78af58d..eb6cde4e8 100644
--- a/autoapi/ocpmodels/models/gemnet/layers/atom_update_block/index.html
+++ b/autoapi/ocpmodels/models/gemnet/layers/atom_update_block/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet/layers/base_layers/index.html b/autoapi/ocpmodels/models/gemnet/layers/base_layers/index.html
index 5793f54f8..e4670dea2 100644
--- a/autoapi/ocpmodels/models/gemnet/layers/base_layers/index.html
+++ b/autoapi/ocpmodels/models/gemnet/layers/base_layers/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet/layers/basis_utils/index.html b/autoapi/ocpmodels/models/gemnet/layers/basis_utils/index.html
index 8cab487a8..7e80167e9 100644
--- a/autoapi/ocpmodels/models/gemnet/layers/basis_utils/index.html
+++ b/autoapi/ocpmodels/models/gemnet/layers/basis_utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet/layers/efficient/index.html b/autoapi/ocpmodels/models/gemnet/layers/efficient/index.html
index 7003d1a2c..e8d0200df 100644
--- a/autoapi/ocpmodels/models/gemnet/layers/efficient/index.html
+++ b/autoapi/ocpmodels/models/gemnet/layers/efficient/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
@@ -628,10 +628,10 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>rbf</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>1</em><em>, </em><em>nEdges</em><em>, </em><em>num_radial</em><em>)</em>) – </p></li>
-<li><p><strong>sph</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>nEdges</em><em>, </em><em>Kmax</em><em>, </em><em>num_spherical</em><em>)</em>) – </p></li>
-<li><p><strong>id_ca</strong> – </p></li>
-<li><p><strong>id_ragged_idx</strong> – </p></li>
+<li><p><strong>rbf</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>1</em><em>, </em><em>nEdges</em><em>, </em><em>num_radial</em><em>)</em>)</p></li>
+<li><p><strong>sph</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>nEdges</em><em>, </em><em>Kmax</em><em>, </em><em>num_spherical</em><em>)</em>)</p></li>
+<li><p><strong>id_ca</strong></p></li>
+<li><p><strong>id_ragged_idx</strong></p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -670,10 +670,10 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>basis</strong> – </p></li>
-<li><p><strong>m</strong> (<em>quadruplets: m = m_db</em><em> , </em><em>triplets: m = m_ba</em>) – </p></li>
-<li><p><strong>id_reduce</strong> – </p></li>
-<li><p><strong>id_ragged_idx</strong> – </p></li>
+<li><p><strong>basis</strong></p></li>
+<li><p><strong>m</strong> (<em>quadruplets: m = m_db</em><em> , </em><em>triplets: m = m_ba</em>)</p></li>
+<li><p><strong>id_reduce</strong></p></li>
+<li><p><strong>id_ragged_idx</strong></p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/autoapi/ocpmodels/models/gemnet/layers/embedding_block/index.html b/autoapi/ocpmodels/models/gemnet/layers/embedding_block/index.html
index e816dda52..acec6c6a0 100644
--- a/autoapi/ocpmodels/models/gemnet/layers/embedding_block/index.html
+++ b/autoapi/ocpmodels/models/gemnet/layers/embedding_block/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
@@ -646,10 +646,10 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>h</strong> – </p></li>
+<li><p><strong>h</strong></p></li>
 <li><p><strong>m_rbf</strong> (<em>shape</em><em> (</em><em>nEdges</em><em>, </em><em>nFeatures</em><em>)</em>) – in embedding block: m_rbf = rbf ; In interaction block: m_rbf = m_st</p></li>
-<li><p><strong>idx_s</strong> – </p></li>
-<li><p><strong>idx_t</strong> – </p></li>
+<li><p><strong>idx_s</strong></p></li>
+<li><p><strong>idx_t</strong></p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/autoapi/ocpmodels/models/gemnet/layers/index.html b/autoapi/ocpmodels/models/gemnet/layers/index.html
index 4de9a8e46..4ee3787ce 100644
--- a/autoapi/ocpmodels/models/gemnet/layers/index.html
+++ b/autoapi/ocpmodels/models/gemnet/layers/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet/layers/interaction_block/index.html b/autoapi/ocpmodels/models/gemnet/layers/interaction_block/index.html
index 1d7472759..75e49b932 100644
--- a/autoapi/ocpmodels/models/gemnet/layers/interaction_block/index.html
+++ b/autoapi/ocpmodels/models/gemnet/layers/interaction_block/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet/layers/radial_basis/index.html b/autoapi/ocpmodels/models/gemnet/layers/radial_basis/index.html
index 46d6160a4..3fecf1ed3 100644
--- a/autoapi/ocpmodels/models/gemnet/layers/radial_basis/index.html
+++ b/autoapi/ocpmodels/models/gemnet/layers/radial_basis/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet/layers/spherical_basis/index.html b/autoapi/ocpmodels/models/gemnet/layers/spherical_basis/index.html
index 7c8aa63a3..02b03bd24 100644
--- a/autoapi/ocpmodels/models/gemnet/layers/spherical_basis/index.html
+++ b/autoapi/ocpmodels/models/gemnet/layers/spherical_basis/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet/utils/index.html b/autoapi/ocpmodels/models/gemnet/utils/index.html
index 463b9d950..a3b4fd561 100644
--- a/autoapi/ocpmodels/models/gemnet/utils/index.html
+++ b/autoapi/ocpmodels/models/gemnet/utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_gp/gemnet/index.html b/autoapi/ocpmodels/models/gemnet_gp/gemnet/index.html
index 77495fecd..6e4301baf 100644
--- a/autoapi/ocpmodels/models/gemnet_gp/gemnet/index.html
+++ b/autoapi/ocpmodels/models/gemnet_gp/gemnet/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
@@ -609,8 +609,8 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>(</strong><strong>int</strong><strong>)</strong> (<em>bond_feat_dim</em>) – </p></li>
-<li><p><strong>(</strong><strong>int</strong><strong>)</strong> – </p></li>
+<li><p><strong>(</strong><strong>int</strong><strong>)</strong> (<em>bond_feat_dim</em>)</p></li>
+<li><p><strong>(</strong><strong>int</strong><strong>)</strong></p></li>
 <li><p><strong>num_targets</strong> (<em>int</em>) – Number of prediction targets.</p></li>
 <li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
 <li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
diff --git a/autoapi/ocpmodels/models/gemnet_gp/index.html b/autoapi/ocpmodels/models/gemnet_gp/index.html
index 7f08b0842..4de0cd065 100644
--- a/autoapi/ocpmodels/models/gemnet_gp/index.html
+++ b/autoapi/ocpmodels/models/gemnet_gp/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
@@ -636,8 +636,8 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>(</strong><strong>int</strong><strong>)</strong> (<em>bond_feat_dim</em>) – </p></li>
-<li><p><strong>(</strong><strong>int</strong><strong>)</strong> – </p></li>
+<li><p><strong>(</strong><strong>int</strong><strong>)</strong> (<em>bond_feat_dim</em>)</p></li>
+<li><p><strong>(</strong><strong>int</strong><strong>)</strong></p></li>
 <li><p><strong>num_targets</strong> (<em>int</em>) – Number of prediction targets.</p></li>
 <li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
 <li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
diff --git a/autoapi/ocpmodels/models/gemnet_gp/initializers/index.html b/autoapi/ocpmodels/models/gemnet_gp/initializers/index.html
index 5a63e2ff7..977be828e 100644
--- a/autoapi/ocpmodels/models/gemnet_gp/initializers/index.html
+++ b/autoapi/ocpmodels/models/gemnet_gp/initializers/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/atom_update_block/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/atom_update_block/index.html
index 1e1b7efbb..a047f22c0 100644
--- a/autoapi/ocpmodels/models/gemnet_gp/layers/atom_update_block/index.html
+++ b/autoapi/ocpmodels/models/gemnet_gp/layers/atom_update_block/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/base_layers/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/base_layers/index.html
index 3767083f6..9a985af6c 100644
--- a/autoapi/ocpmodels/models/gemnet_gp/layers/base_layers/index.html
+++ b/autoapi/ocpmodels/models/gemnet_gp/layers/base_layers/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/basis_utils/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/basis_utils/index.html
index f41c9780d..336b88e83 100644
--- a/autoapi/ocpmodels/models/gemnet_gp/layers/basis_utils/index.html
+++ b/autoapi/ocpmodels/models/gemnet_gp/layers/basis_utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/efficient/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/efficient/index.html
index 3451f8ab1..d59611720 100644
--- a/autoapi/ocpmodels/models/gemnet_gp/layers/efficient/index.html
+++ b/autoapi/ocpmodels/models/gemnet_gp/layers/efficient/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
@@ -628,10 +628,10 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>rbf</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>1</em><em>, </em><em>nEdges</em><em>, </em><em>num_radial</em><em>)</em>) – </p></li>
-<li><p><strong>sph</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>nEdges</em><em>, </em><em>Kmax</em><em>, </em><em>num_spherical</em><em>)</em>) – </p></li>
-<li><p><strong>id_ca</strong> – </p></li>
-<li><p><strong>id_ragged_idx</strong> – </p></li>
+<li><p><strong>rbf</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>1</em><em>, </em><em>nEdges</em><em>, </em><em>num_radial</em><em>)</em>)</p></li>
+<li><p><strong>sph</strong> (<em>torch.Tensor</em><em>, </em><em>shape=</em><em>(</em><em>nEdges</em><em>, </em><em>Kmax</em><em>, </em><em>num_spherical</em><em>)</em>)</p></li>
+<li><p><strong>id_ca</strong></p></li>
+<li><p><strong>id_ragged_idx</strong></p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -670,10 +670,10 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>basis</strong> – </p></li>
-<li><p><strong>m</strong> (<em>quadruplets: m = m_db</em><em> , </em><em>triplets: m = m_ba</em>) – </p></li>
-<li><p><strong>id_reduce</strong> – </p></li>
-<li><p><strong>id_ragged_idx</strong> – </p></li>
+<li><p><strong>basis</strong></p></li>
+<li><p><strong>m</strong> (<em>quadruplets: m = m_db</em><em> , </em><em>triplets: m = m_ba</em>)</p></li>
+<li><p><strong>id_reduce</strong></p></li>
+<li><p><strong>id_ragged_idx</strong></p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/embedding_block/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/embedding_block/index.html
index 77e1a119f..6eed3a517 100644
--- a/autoapi/ocpmodels/models/gemnet_gp/layers/embedding_block/index.html
+++ b/autoapi/ocpmodels/models/gemnet_gp/layers/embedding_block/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
@@ -646,10 +646,10 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>h</strong> – </p></li>
+<li><p><strong>h</strong></p></li>
 <li><p><strong>m_rbf</strong> (<em>shape</em><em> (</em><em>nEdges</em><em>, </em><em>nFeatures</em><em>)</em>) – in embedding block: m_rbf = rbf ; In interaction block: m_rbf = m_st</p></li>
-<li><p><strong>idx_s</strong> – </p></li>
-<li><p><strong>idx_t</strong> – </p></li>
+<li><p><strong>idx_s</strong></p></li>
+<li><p><strong>idx_t</strong></p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/index.html
index 9a8b604c4..317f6de78 100644
--- a/autoapi/ocpmodels/models/gemnet_gp/layers/index.html
+++ b/autoapi/ocpmodels/models/gemnet_gp/layers/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/interaction_block/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/interaction_block/index.html
index d4f2487d2..92d611087 100644
--- a/autoapi/ocpmodels/models/gemnet_gp/layers/interaction_block/index.html
+++ b/autoapi/ocpmodels/models/gemnet_gp/layers/interaction_block/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/radial_basis/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/radial_basis/index.html
index e0577690a..0a21dfa41 100644
--- a/autoapi/ocpmodels/models/gemnet_gp/layers/radial_basis/index.html
+++ b/autoapi/ocpmodels/models/gemnet_gp/layers/radial_basis/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/spherical_basis/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/spherical_basis/index.html
index 23d1256ec..5d423751b 100644
--- a/autoapi/ocpmodels/models/gemnet_gp/layers/spherical_basis/index.html
+++ b/autoapi/ocpmodels/models/gemnet_gp/layers/spherical_basis/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_gp/utils/index.html b/autoapi/ocpmodels/models/gemnet_gp/utils/index.html
index 8f14233ef..dd3238f60 100644
--- a/autoapi/ocpmodels/models/gemnet_gp/utils/index.html
+++ b/autoapi/ocpmodels/models/gemnet_gp/utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/gemnet_oc/index.html b/autoapi/ocpmodels/models/gemnet_oc/gemnet_oc/index.html
index f3fe5d5d1..c9ed83c44 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/gemnet_oc/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/gemnet_oc/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
@@ -619,8 +619,8 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>(</strong><strong>int</strong><strong>)</strong> (<em>bond_feat_dim</em>) – </p></li>
-<li><p><strong>(</strong><strong>int</strong><strong>)</strong> – </p></li>
+<li><p><strong>(</strong><strong>int</strong><strong>)</strong> (<em>bond_feat_dim</em>)</p></li>
+<li><p><strong>(</strong><strong>int</strong><strong>)</strong></p></li>
 <li><p><strong>num_targets</strong> (<em>int</em>) – Number of prediction targets.</p></li>
 <li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
 <li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/index.html b/autoapi/ocpmodels/models/gemnet_oc/index.html
index 8fa155a5f..29f6e373b 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
@@ -648,8 +648,8 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>(</strong><strong>int</strong><strong>)</strong> (<em>bond_feat_dim</em>) – </p></li>
-<li><p><strong>(</strong><strong>int</strong><strong>)</strong> – </p></li>
+<li><p><strong>(</strong><strong>int</strong><strong>)</strong> (<em>bond_feat_dim</em>)</p></li>
+<li><p><strong>(</strong><strong>int</strong><strong>)</strong></p></li>
 <li><p><strong>num_targets</strong> (<em>int</em>) – Number of prediction targets.</p></li>
 <li><p><strong>num_spherical</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
 <li><p><strong>num_radial</strong> (<em>int</em>) – Controls maximum frequency.</p></li>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/initializers/index.html b/autoapi/ocpmodels/models/gemnet_oc/initializers/index.html
index a8276094c..901d0d209 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/initializers/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/initializers/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/interaction_indices/index.html b/autoapi/ocpmodels/models/gemnet_oc/interaction_indices/index.html
index 8d5cc25cd..c82dd0007 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/interaction_indices/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/interaction_indices/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/atom_update_block/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/atom_update_block/index.html
index 82591409b..0aae40d59 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/layers/atom_update_block/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/layers/atom_update_block/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/base_layers/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/base_layers/index.html
index 7ba38cce3..b7c554c0f 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/layers/base_layers/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/layers/base_layers/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/basis_utils/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/basis_utils/index.html
index 8ebb340ec..375305e0a 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/layers/basis_utils/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/layers/basis_utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/efficient/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/efficient/index.html
index ef1a66b18..488b01943 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/layers/efficient/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/layers/efficient/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/embedding_block/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/embedding_block/index.html
index 9fb7ec6a7..87541d361 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/layers/embedding_block/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/layers/embedding_block/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/force_scaler/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/force_scaler/index.html
index e05512e49..b3d14f446 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/layers/force_scaler/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/layers/force_scaler/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/index.html
index dc7deea5c..587de562f 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/layers/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/layers/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/interaction_block/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/interaction_block/index.html
index bd9e2c540..2f1766004 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/layers/interaction_block/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/layers/interaction_block/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/radial_basis/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/radial_basis/index.html
index 2e5798ceb..88132a921 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/layers/radial_basis/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/layers/radial_basis/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/spherical_basis/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/spherical_basis/index.html
index 4dc37c044..9a04bded7 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/layers/spherical_basis/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/layers/spherical_basis/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/gemnet_oc/utils/index.html b/autoapi/ocpmodels/models/gemnet_oc/utils/index.html
index 3730cfe05..c2bca42d8 100644
--- a/autoapi/ocpmodels/models/gemnet_oc/utils/index.html
+++ b/autoapi/ocpmodels/models/gemnet_oc/utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/index.html b/autoapi/ocpmodels/models/index.html
index babdf734b..f4c99eb24 100644
--- a/autoapi/ocpmodels/models/index.html
+++ b/autoapi/ocpmodels/models/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../_static/copybutton.js?v=f281be69"></script>
@@ -58,6 +58,8 @@
     <script async="async" src="../../../_static/sphinx-thebe.js?v=c100c467"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
+    <script>window.MathJax = {"options": {"processHtmlClass": "tex2jax_process|mathjax_process|math|output_area"}}</script>
+    <script defer="defer" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'autoapi/ocpmodels/models/index';</script>
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
@@ -731,7 +733,7 @@ <h3>Attributes<a class="headerlink" href="#attributes" title="Link to this headi
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>model_name</strong> (<em>str</em>) – the model name. See available_pretrained_checkpoints.</p></li>
-<li><p><strong>local_cache</strong> (<em>str</em>) – </p></li>
+<li><p><strong>local_cache</strong> (<em>str</em>)</p></li>
 </ul>
 </dd>
 </dl>
diff --git a/autoapi/ocpmodels/models/model_registry/index.html b/autoapi/ocpmodels/models/model_registry/index.html
index 3e4b5e679..1cd6fe33f 100644
--- a/autoapi/ocpmodels/models/model_registry/index.html
+++ b/autoapi/ocpmodels/models/model_registry/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
@@ -623,7 +623,7 @@ <h3>Attributes<a class="headerlink" href="#attributes" title="Link to this headi
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>model_name</strong> (<em>str</em>) – the model name. See available_pretrained_checkpoints.</p></li>
-<li><p><strong>local_cache</strong> (<em>str</em>) – </p></li>
+<li><p><strong>local_cache</strong> (<em>str</em>)</p></li>
 </ul>
 </dd>
 </dl>
diff --git a/autoapi/ocpmodels/models/painn/index.html b/autoapi/ocpmodels/models/painn/index.html
index 846e3b98d..35117bd2d 100644
--- a/autoapi/ocpmodels/models/painn/index.html
+++ b/autoapi/ocpmodels/models/painn/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
@@ -58,6 +58,8 @@
     <script async="async" src="../../../../_static/sphinx-thebe.js?v=c100c467"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
+    <script>window.MathJax = {"options": {"processHtmlClass": "tex2jax_process|mathjax_process|math|output_area"}}</script>
+    <script defer="defer" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'autoapi/ocpmodels/models/painn/index';</script>
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
diff --git a/autoapi/ocpmodels/models/painn/painn/index.html b/autoapi/ocpmodels/models/painn/painn/index.html
index 844c51e1f..8308f19fe 100644
--- a/autoapi/ocpmodels/models/painn/painn/index.html
+++ b/autoapi/ocpmodels/models/painn/painn/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/painn/utils/index.html b/autoapi/ocpmodels/models/painn/utils/index.html
index dac38fb1e..a9ebe921e 100644
--- a/autoapi/ocpmodels/models/painn/utils/index.html
+++ b/autoapi/ocpmodels/models/painn/utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/schnet/index.html b/autoapi/ocpmodels/models/schnet/index.html
index a39265834..eb59c7b43 100644
--- a/autoapi/ocpmodels/models/schnet/index.html
+++ b/autoapi/ocpmodels/models/schnet/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/scn/index.html b/autoapi/ocpmodels/models/scn/index.html
index 7bbacaca2..78ad7cb6c 100644
--- a/autoapi/ocpmodels/models/scn/index.html
+++ b/autoapi/ocpmodels/models/scn/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/scn/sampling/index.html b/autoapi/ocpmodels/models/scn/sampling/index.html
index 45208f1c3..eb096ac61 100644
--- a/autoapi/ocpmodels/models/scn/sampling/index.html
+++ b/autoapi/ocpmodels/models/scn/sampling/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/scn/scn/index.html b/autoapi/ocpmodels/models/scn/scn/index.html
index c88a72083..f1231bfdc 100644
--- a/autoapi/ocpmodels/models/scn/scn/index.html
+++ b/autoapi/ocpmodels/models/scn/scn/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/scn/smearing/index.html b/autoapi/ocpmodels/models/scn/smearing/index.html
index 8825024dc..647c27738 100644
--- a/autoapi/ocpmodels/models/scn/smearing/index.html
+++ b/autoapi/ocpmodels/models/scn/smearing/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/scn/spherical_harmonics/index.html b/autoapi/ocpmodels/models/scn/spherical_harmonics/index.html
index 8d813b6ca..cb328ce2d 100644
--- a/autoapi/ocpmodels/models/scn/spherical_harmonics/index.html
+++ b/autoapi/ocpmodels/models/scn/spherical_harmonics/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/utils/activations/index.html b/autoapi/ocpmodels/models/utils/activations/index.html
index 18f4be242..4d22fa617 100644
--- a/autoapi/ocpmodels/models/utils/activations/index.html
+++ b/autoapi/ocpmodels/models/utils/activations/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/utils/basis/index.html b/autoapi/ocpmodels/models/utils/basis/index.html
index 14470df1d..5125f4ae4 100644
--- a/autoapi/ocpmodels/models/utils/basis/index.html
+++ b/autoapi/ocpmodels/models/utils/basis/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/models/utils/index.html b/autoapi/ocpmodels/models/utils/index.html
index c747fd68a..2fc816d5d 100644
--- a/autoapi/ocpmodels/models/utils/index.html
+++ b/autoapi/ocpmodels/models/utils/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/modules/evaluator/index.html b/autoapi/ocpmodels/modules/evaluator/index.html
index 855a2cab0..6f7458022 100644
--- a/autoapi/ocpmodels/modules/evaluator/index.html
+++ b/autoapi/ocpmodels/modules/evaluator/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/modules/exponential_moving_average/index.html b/autoapi/ocpmodels/modules/exponential_moving_average/index.html
index 38d217820..e1fcf94e5 100644
--- a/autoapi/ocpmodels/modules/exponential_moving_average/index.html
+++ b/autoapi/ocpmodels/modules/exponential_moving_average/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/modules/index.html b/autoapi/ocpmodels/modules/index.html
index 15bc6ae3c..9ec32fcc4 100644
--- a/autoapi/ocpmodels/modules/index.html
+++ b/autoapi/ocpmodels/modules/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/modules/loss/index.html b/autoapi/ocpmodels/modules/loss/index.html
index 7599b1067..2638bfc04 100644
--- a/autoapi/ocpmodels/modules/loss/index.html
+++ b/autoapi/ocpmodels/modules/loss/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/modules/normalizer/index.html b/autoapi/ocpmodels/modules/normalizer/index.html
index bdb01a37f..b9af88faa 100644
--- a/autoapi/ocpmodels/modules/normalizer/index.html
+++ b/autoapi/ocpmodels/modules/normalizer/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/modules/scaling/compat/index.html b/autoapi/ocpmodels/modules/scaling/compat/index.html
index d7c2f74fd..745aed604 100644
--- a/autoapi/ocpmodels/modules/scaling/compat/index.html
+++ b/autoapi/ocpmodels/modules/scaling/compat/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/modules/scaling/fit/index.html b/autoapi/ocpmodels/modules/scaling/fit/index.html
index 82c55f2e2..40565e779 100644
--- a/autoapi/ocpmodels/modules/scaling/fit/index.html
+++ b/autoapi/ocpmodels/modules/scaling/fit/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/modules/scaling/index.html b/autoapi/ocpmodels/modules/scaling/index.html
index 9723f79cb..fd1c1155d 100644
--- a/autoapi/ocpmodels/modules/scaling/index.html
+++ b/autoapi/ocpmodels/modules/scaling/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/modules/scaling/scale_factor/index.html b/autoapi/ocpmodels/modules/scaling/scale_factor/index.html
index 2528f6cdd..aa82891cb 100644
--- a/autoapi/ocpmodels/modules/scaling/scale_factor/index.html
+++ b/autoapi/ocpmodels/modules/scaling/scale_factor/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/modules/scaling/util/index.html b/autoapi/ocpmodels/modules/scaling/util/index.html
index 5cb623360..629c3cfc8 100644
--- a/autoapi/ocpmodels/modules/scaling/util/index.html
+++ b/autoapi/ocpmodels/modules/scaling/util/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/modules/scheduler/index.html b/autoapi/ocpmodels/modules/scheduler/index.html
index a54562140..d14e8f3c2 100644
--- a/autoapi/ocpmodels/modules/scheduler/index.html
+++ b/autoapi/ocpmodels/modules/scheduler/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/modules/transforms/index.html b/autoapi/ocpmodels/modules/transforms/index.html
index ffd1b8026..a58474755 100644
--- a/autoapi/ocpmodels/modules/transforms/index.html
+++ b/autoapi/ocpmodels/modules/transforms/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/preprocessing/atoms_to_graphs/index.html b/autoapi/ocpmodels/preprocessing/atoms_to_graphs/index.html
index 58be6f4e1..c2d6570c3 100644
--- a/autoapi/ocpmodels/preprocessing/atoms_to_graphs/index.html
+++ b/autoapi/ocpmodels/preprocessing/atoms_to_graphs/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
@@ -652,18 +652,18 @@ <h3>Attributes<a class="headerlink" href="#attributes" title="Link to this headi
 <li><p><strong>r_forces</strong> (<em>bool</em>) – Return the forces with other properties. Default is False, so the forces will not be returned.</p></li>
 <li><p><strong>r_stress</strong> (<em>bool</em>) – Return the stress with other properties. Default is False, so the stress will not be returned.</p></li>
 <li><p><strong>r_distances</strong> (<em>bool</em>) – Return the distances with other properties.</p></li>
-<li><p><strong>False</strong> (<em>Default is</em>) – </p></li>
-<li><p><strong>returned.</strong> (<em>so the periodic boundary conditions will not be</em>) – </p></li>
+<li><p><strong>False</strong> (<em>Default is</em>)</p></li>
+<li><p><strong>returned.</strong> (<em>so the periodic boundary conditions will not be</em>)</p></li>
 <li><p><strong>r_edges</strong> (<em>bool</em>) – Return interatomic edges with other properties. Default is True, so edges will be returned.</p></li>
 <li><p><strong>r_fixed</strong> (<em>bool</em>) – Return a binary vector with flags for fixed (1) vs free (0) atoms.</p></li>
-<li><p><strong>True</strong> (<em>Default is</em>) – </p></li>
-<li><p><strong>returned.</strong> – </p></li>
+<li><p><strong>True</strong> (<em>Default is</em>)</p></li>
+<li><p><strong>returned.</strong></p></li>
 <li><p><strong>r_pbc</strong> (<em>bool</em>) – Return the periodic boundary conditions with other properties.</p></li>
-<li><p><strong>False</strong> – </p></li>
-<li><p><strong>returned.</strong> – </p></li>
+<li><p><strong>False</strong></p></li>
+<li><p><strong>returned.</strong></p></li>
 <li><p><strong>r_data_keys</strong> (<em>sequence</em><em> of </em><em>str</em><em>, </em><em>optional</em>) – Return values corresponding to given keys in atoms.info data with other</p></li>
-<li><p><strong>None</strong> (<em>properties. Default is</em>) – </p></li>
-<li><p><strong>properties.</strong> (<em>so no data will be returned as</em>) – </p></li>
+<li><p><strong>None</strong> (<em>properties. Default is</em>)</p></li>
+<li><p><strong>properties.</strong> (<em>so no data will be returned as</em>)</p></li>
 </ul>
 </dd>
 </dl>
@@ -820,7 +820,7 @@ <h3>Attributes<a class="headerlink" href="#attributes" title="Link to this headi
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>atoms</strong> (<em>ase.atoms.Atoms</em>) – An ASE atoms object.</p></li>
 <li><p><strong>sid</strong> (<em>uniquely identifying object</em>) – An identifier that can be used to track the structure in downstream</p></li>
-<li><p><strong>integers.</strong> (<em>tasks. Common sids used in OCP datasets include unique strings or</em>) – </p></li>
+<li><p><strong>integers.</strong> (<em>tasks. Common sids used in OCP datasets include unique strings or</em>)</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -841,10 +841,10 @@ <h3>Attributes<a class="headerlink" href="#attributes" title="Link to this headi
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>atoms_collection</strong> (<em>list</em><em> of </em><em>ase.atoms.Atoms</em><em> or </em><em>ase.db.sqlite.SQLite3Database</em>) – </p></li>
-<li><p><strong>database.</strong> (<em>Either a list</em><em> of </em><em>ASE atoms objects</em><em> or </em><em>an ASE</em>) – </p></li>
-<li><p><strong>processed_file_path</strong> (<em>str</em>) – </p></li>
-<li><p><strong>None.</strong> (<em>A string</em><em> of </em><em>the path to where the processed file will be written. Default is</em>) – </p></li>
+<li><p><strong>atoms_collection</strong> (<em>list</em><em> of </em><em>ase.atoms.Atoms</em><em> or </em><em>ase.db.sqlite.SQLite3Database</em>)</p></li>
+<li><p><strong>database.</strong> (<em>Either a list</em><em> of </em><em>ASE atoms objects</em><em> or </em><em>an ASE</em>)</p></li>
+<li><p><strong>processed_file_path</strong> (<em>str</em>)</p></li>
+<li><p><strong>None.</strong> (<em>A string</em><em> of </em><em>the path to where the processed file will be written. Default is</em>)</p></li>
 <li><p><strong>collate_and_save</strong> (<em>bool</em>) – A boolean to collate and save or not. Default is False, so will not write a file.</p></li>
 </ul>
 </dd>
diff --git a/autoapi/ocpmodels/preprocessing/index.html b/autoapi/ocpmodels/preprocessing/index.html
index 7a93ecd9f..8dbea2bed 100644
--- a/autoapi/ocpmodels/preprocessing/index.html
+++ b/autoapi/ocpmodels/preprocessing/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../_static/copybutton.js?v=f281be69"></script>
@@ -635,18 +635,18 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <li><p><strong>r_forces</strong> (<em>bool</em>) – Return the forces with other properties. Default is False, so the forces will not be returned.</p></li>
 <li><p><strong>r_stress</strong> (<em>bool</em>) – Return the stress with other properties. Default is False, so the stress will not be returned.</p></li>
 <li><p><strong>r_distances</strong> (<em>bool</em>) – Return the distances with other properties.</p></li>
-<li><p><strong>False</strong> (<em>Default is</em>) – </p></li>
-<li><p><strong>returned.</strong> (<em>so the periodic boundary conditions will not be</em>) – </p></li>
+<li><p><strong>False</strong> (<em>Default is</em>)</p></li>
+<li><p><strong>returned.</strong> (<em>so the periodic boundary conditions will not be</em>)</p></li>
 <li><p><strong>r_edges</strong> (<em>bool</em>) – Return interatomic edges with other properties. Default is True, so edges will be returned.</p></li>
 <li><p><strong>r_fixed</strong> (<em>bool</em>) – Return a binary vector with flags for fixed (1) vs free (0) atoms.</p></li>
-<li><p><strong>True</strong> (<em>Default is</em>) – </p></li>
-<li><p><strong>returned.</strong> – </p></li>
+<li><p><strong>True</strong> (<em>Default is</em>)</p></li>
+<li><p><strong>returned.</strong></p></li>
 <li><p><strong>r_pbc</strong> (<em>bool</em>) – Return the periodic boundary conditions with other properties.</p></li>
-<li><p><strong>False</strong> – </p></li>
-<li><p><strong>returned.</strong> – </p></li>
+<li><p><strong>False</strong></p></li>
+<li><p><strong>returned.</strong></p></li>
 <li><p><strong>r_data_keys</strong> (<em>sequence</em><em> of </em><em>str</em><em>, </em><em>optional</em>) – Return values corresponding to given keys in atoms.info data with other</p></li>
-<li><p><strong>None</strong> (<em>properties. Default is</em>) – </p></li>
-<li><p><strong>properties.</strong> (<em>so no data will be returned as</em>) – </p></li>
+<li><p><strong>None</strong> (<em>properties. Default is</em>)</p></li>
+<li><p><strong>properties.</strong> (<em>so no data will be returned as</em>)</p></li>
 </ul>
 </dd>
 </dl>
@@ -803,7 +803,7 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>atoms</strong> (<em>ase.atoms.Atoms</em>) – An ASE atoms object.</p></li>
 <li><p><strong>sid</strong> (<em>uniquely identifying object</em>) – An identifier that can be used to track the structure in downstream</p></li>
-<li><p><strong>integers.</strong> (<em>tasks. Common sids used in OCP datasets include unique strings or</em>) – </p></li>
+<li><p><strong>integers.</strong> (<em>tasks. Common sids used in OCP datasets include unique strings or</em>)</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -824,10 +824,10 @@ <h3>Classes<a class="headerlink" href="#classes" title="Link to this heading">#<
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>atoms_collection</strong> (<em>list</em><em> of </em><em>ase.atoms.Atoms</em><em> or </em><em>ase.db.sqlite.SQLite3Database</em>) – </p></li>
-<li><p><strong>database.</strong> (<em>Either a list</em><em> of </em><em>ASE atoms objects</em><em> or </em><em>an ASE</em>) – </p></li>
-<li><p><strong>processed_file_path</strong> (<em>str</em>) – </p></li>
-<li><p><strong>None.</strong> (<em>A string</em><em> of </em><em>the path to where the processed file will be written. Default is</em>) – </p></li>
+<li><p><strong>atoms_collection</strong> (<em>list</em><em> of </em><em>ase.atoms.Atoms</em><em> or </em><em>ase.db.sqlite.SQLite3Database</em>)</p></li>
+<li><p><strong>database.</strong> (<em>Either a list</em><em> of </em><em>ASE atoms objects</em><em> or </em><em>an ASE</em>)</p></li>
+<li><p><strong>processed_file_path</strong> (<em>str</em>)</p></li>
+<li><p><strong>None.</strong> (<em>A string</em><em> of </em><em>the path to where the processed file will be written. Default is</em>)</p></li>
 <li><p><strong>collate_and_save</strong> (<em>bool</em>) – A boolean to collate and save or not. Default is False, so will not write a file.</p></li>
 </ul>
 </dd>
diff --git a/autoapi/ocpmodels/tasks/index.html b/autoapi/ocpmodels/tasks/index.html
index 88fb9dfa5..90664d566 100644
--- a/autoapi/ocpmodels/tasks/index.html
+++ b/autoapi/ocpmodels/tasks/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/tasks/task/index.html b/autoapi/ocpmodels/tasks/task/index.html
index 81e4a29a5..b81e3f66a 100644
--- a/autoapi/ocpmodels/tasks/task/index.html
+++ b/autoapi/ocpmodels/tasks/task/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/trainers/base_trainer/index.html b/autoapi/ocpmodels/trainers/base_trainer/index.html
index 710b44117..55f85b1b9 100644
--- a/autoapi/ocpmodels/trainers/base_trainer/index.html
+++ b/autoapi/ocpmodels/trainers/base_trainer/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/trainers/index.html b/autoapi/ocpmodels/trainers/index.html
index d77e933f6..507403b95 100644
--- a/autoapi/ocpmodels/trainers/index.html
+++ b/autoapi/ocpmodels/trainers/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/autoapi/ocpmodels/trainers/ocp_trainer/index.html b/autoapi/ocpmodels/trainers/ocp_trainer/index.html
index 33423c266..34ed39201 100644
--- a/autoapi/ocpmodels/trainers/ocp_trainer/index.html
+++ b/autoapi/ocpmodels/trainers/ocp_trainer/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../../../_static/copybutton.js?v=f281be69"></script>
diff --git a/core/ase_dataset_creation.html b/core/ase_dataset_creation.html
index 82a754323..a34448093 100644
--- a/core/ase_dataset_creation.html
+++ b/core/ase_dataset_creation.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
diff --git a/core/datasets/oc20.html b/core/datasets/oc20.html
index 70fe97453..5b48dfac1 100644
--- a/core/datasets/oc20.html
+++ b/core/datasets/oc20.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../_static/copybutton.js?v=f281be69"></script>
diff --git a/core/datasets/oc22.html b/core/datasets/oc22.html
index a3916316c..cb7503452 100644
--- a/core/datasets/oc22.html
+++ b/core/datasets/oc22.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../_static/copybutton.js?v=f281be69"></script>
diff --git a/core/datasets/odac.html b/core/datasets/odac.html
index 021a8f47d..ddba0a463 100644
--- a/core/datasets/odac.html
+++ b/core/datasets/odac.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../_static/copybutton.js?v=f281be69"></script>
diff --git a/core/fine-tuning/fine-tuning-oxides.html b/core/fine-tuning/fine-tuning-oxides.html
index ea88fa42f..513b3e6f4 100644
--- a/core/fine-tuning/fine-tuning-oxides.html
+++ b/core/fine-tuning/fine-tuning-oxides.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../_static/copybutton.js?v=f281be69"></script>
@@ -715,6 +715,9 @@ <h1>Fine tuning a model<a class="headerlink" href="#fine-tuning-a-model" title="
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
@@ -770,7 +773,7 @@ <h1>Fine tuning a model<a class="headerlink" href="#fine-tuning-a-model" title="
   warnings.warn(
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time 69.3 seconds.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time 68.6 seconds.
 </pre></div>
 </div>
 <img alt="../../_images/92bd7f94dd548c8cfc2744eb5890cd23fada1ff98e8dc907657e2eb109af0402.png" src="../../_images/92bd7f94dd548c8cfc2744eb5890cd23fada1ff98e8dc907657e2eb109af0402.png" />
@@ -921,8 +924,8 @@ <h2>Setting up the configuration yaml file<a class="headerlink" href="#setting-u
                            <span class="s1">&#39;dataset&#39;</span><span class="p">,</span> <span class="s1">&#39;test_dataset&#39;</span><span class="p">,</span> <span class="s1">&#39;val_dataset&#39;</span><span class="p">],</span>
                    <span class="n">update</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;gpus&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
                            <span class="s1">&#39;task.dataset&#39;</span><span class="p">:</span> <span class="s1">&#39;ase_db&#39;</span><span class="p">,</span>
-                           <span class="s1">&#39;optim.eval_every&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
-                           <span class="s1">&#39;optim.max_epochs&#39;</span><span class="p">:</span> <span class="mi">4</span><span class="p">,</span>
+                           <span class="s1">&#39;optim.eval_every&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">,</span>
+                           <span class="s1">&#39;optim.max_epochs&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
                            <span class="s1">&#39;optim.batch_size&#39;</span><span class="p">:</span> <span class="mi">4</span><span class="p">,</span>
                             <span class="s1">&#39;logger&#39;</span><span class="p">:</span><span class="s1">&#39;tensorboard&#39;</span><span class="p">,</span> <span class="c1"># don&#39;t use wandb!</span>
                            <span class="c1"># Train data</span>
@@ -944,6 +947,9 @@ <h2>Setting up the configuration yaml file<a class="headerlink" href="#setting-u
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
@@ -1070,13 +1076,13 @@ <h2>Setting up the configuration yaml file<a class="headerlink" href="#setting-u
   ema_decay: 0.999
   energy_coefficient: 1
   eval_batch_size: 16
-  eval_every: 1
+  eval_every: 10
   factor: 0.8
   force_coefficient: 1
   load_balancing: atoms
   loss_energy: mae
   lr_initial: 0.0005
-  max_epochs: 4
+  max_epochs: 1
   mode: min
   num_workers: 2
   optimizer: AdamW
@@ -1132,13 +1138,7 @@ <h2>Running the training job<a class="headerlink" href="#running-the-training-jo
 <span class="expanded">Hide code cell output</span>
 </summary>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>^C
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time = 1800.5 seconds
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time = 39.2 seconds
 </pre></div>
 </div>
 </div>
@@ -1153,6 +1153,11 @@ <h2>Running the training job<a class="headerlink" href="#running-the-training-jo
 </pre></div>
 </div>
 </div>
+<div class="cell_output docutils container">
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;fine-tuning/checkpoints/2024-04-17-16-29-52-ft-oxides&#39;
+</pre></div>
+</div>
+</div>
 </div>
 <p>There will be two files in there: <code class="docutils literal notranslate"><span class="pre">checkpoint.pt</span></code> and <code class="docutils literal notranslate"><span class="pre">best_checkpoint.pt</span></code>.</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">best_checkpoint.pt</span></code> is the one that performs best on the validation dataset. The <code class="docutils literal notranslate"><span class="pre">checkpoint.pt</span></code> is the most recently saved one. Probably it has the lowest loss in training, but this could be an indication of overfitting. You have to use some judgement in determining which one to use, and if it is sufficiently accurate for your needs. It may need additional training to further improve it.</p>
@@ -1163,6 +1168,19 @@ <h2>Running the training job<a class="headerlink" href="#running-the-training-jo
 </pre></div>
 </div>
 </div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
+  warnings.warn(
+WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Using `weight_decay` from `optim` instead of `optim.optimizer_params`.Please update your config to use `optim.optimizer_params.weight_decay`.`optim.weight_decay` will soon be deprecated.
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+</pre></div>
+</div>
+</div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1196,6 +1214,13 @@ <h2>Running the training job<a class="headerlink" href="#running-the-training-jo
 </pre></div>
 </div>
 </div>
+<div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/amp/autocast_mode.py:250: UserWarning: User provided device_type of &#39;cuda&#39;, but CUDA is not available. Disabling
+  warnings.warn(
+</pre></div>
+</div>
+<img alt="../../_images/bed8167be37c92b5d71e2ae9cae3439eec937bceb84ba422addd9d9d5974ed8d.png" src="../../_images/bed8167be37c92b5d71e2ae9cae3439eec937bceb84ba422addd9d9d5974ed8d.png" />
+</div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1204,6 +1229,11 @@ <h2>Running the training job<a class="headerlink" href="#running-the-training-jo
 </pre></div>
 </div>
 </div>
+<div class="cell_output docutils container">
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>New MAE = 0.686 eV/atom
+</pre></div>
+</div>
+</div>
 </div>
 <p>This is a substantial improvement! We can see what it means in terms of the Equations of State. There is still not perfect agreement, but the curves are closer together. Additional fine tuning, or a better model could probably still improve this.</p>
 <div class="cell docutils container">
@@ -1218,6 +1248,9 @@ <h2>Running the training job<a class="headerlink" href="#running-the-training-jo
 </pre></div>
 </div>
 </div>
+<div class="cell_output docutils container">
+<img alt="../../_images/1109562e7d207b01d4bbaec75065a7373c812846544444edb8782cf62a3bbac7.png" src="../../_images/1109562e7d207b01d4bbaec75065a7373c812846544444edb8782cf62a3bbac7.png" />
+</div>
 </div>
 <p>It is possible to continue refining the fit. The simple things to do are to use more epochs of training. Eventually the MAE will stabilize, and then it may be necessary to adjust other optimization parameters like the learning rate (usually you decrease it).</p>
 <p>Depending on what is important to you, you may consider changing the relative importances of energy and forces; you can often trade off accuracy of one for the other. It may be necessary to add additional data to cover the composition and configuration space more thoroughly.</p>
diff --git a/core/gotchas.html b/core/gotchas.html
index 607988d05..d2e09cd51 100644
--- a/core/gotchas.html
+++ b/core/gotchas.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
@@ -615,6 +615,9 @@ <h1>I want the energy of a gas phase atom<a class="headerlink" href="#i-want-the
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
@@ -670,12 +673,12 @@ <h1>I want the energy of a gas phase atom<a class="headerlink" href="#i-want-the
 <span class="g g-Whitespace">    </span><span class="mi">742</span>     <span class="k">raise</span> <span class="n">PropertyNotImplementedError</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{}</span><span class="s1"> not present in this &#39;</span>
 <span class="g g-Whitespace">    </span><span class="mi">743</span>                                       <span class="s1">&#39;calculation&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="p">))</span>
 
-<span class="nn">File ~/work/ocp/ocp/ocpmodels/common/relaxation/ase_utils.py:225,</span> in <span class="ni">OCPCalculator.calculate</span><span class="nt">(self, atoms, properties, system_changes)</span>
-<span class="g g-Whitespace">    </span><span class="mi">222</span> <span class="n">data_object</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">a2g</span><span class="o">.</span><span class="n">convert</span><span class="p">(</span><span class="n">atoms</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">223</span> <span class="n">batch</span> <span class="o">=</span> <span class="n">data_list_collater</span><span class="p">([</span><span class="n">data_object</span><span class="p">],</span> <span class="n">otf_graph</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
-<span class="ne">--&gt; </span><span class="mi">225</span> <span class="n">predictions</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trainer</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">batch</span><span class="p">,</span> <span class="n">per_image</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">227</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">predictions</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">228</span>     <span class="n">_pred</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+<span class="nn">File ~/work/ocp/ocp/ocpmodels/common/relaxation/ase_utils.py:234,</span> in <span class="ni">OCPCalculator.calculate</span><span class="nt">(self, atoms, properties, system_changes)</span>
+<span class="g g-Whitespace">    </span><span class="mi">231</span> <span class="n">data_object</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">a2g</span><span class="o">.</span><span class="n">convert</span><span class="p">(</span><span class="n">atoms</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">232</span> <span class="n">batch</span> <span class="o">=</span> <span class="n">data_list_collater</span><span class="p">([</span><span class="n">data_object</span><span class="p">],</span> <span class="n">otf_graph</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="ne">--&gt; </span><span class="mi">234</span> <span class="n">predictions</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trainer</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">batch</span><span class="p">,</span> <span class="n">per_image</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">236</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">predictions</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">237</span>     <span class="n">_pred</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
 
 <span class="nn">File /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/utils/_contextlib.py:115,</span> in <span class="ni">context_decorator.&lt;locals&gt;.decorate_context</span><span class="nt">(*args, **kwargs)</span>
 <span class="g g-Whitespace">    </span><span class="mi">112</span> <span class="nd">@functools</span><span class="o">.</span><span class="n">wraps</span><span class="p">(</span><span class="n">func</span><span class="p">)</span>
@@ -849,6 +852,9 @@ <h1>I get wildly different energies from the different models<a class="headerlin
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
@@ -885,6 +891,9 @@ <h1>I get wildly different energies from the different models<a class="headerlin
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
@@ -919,6 +928,9 @@ <h1>I get wildly different energies from the different models<a class="headerlin
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 </pre></div>
@@ -930,7 +942,7 @@ <h1>I get wildly different energies from the different models<a class="headerlin
   warnings.warn(
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1.6873018741607666
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1.6516172885894775
 </pre></div>
 </div>
 </div>
@@ -978,6 +990,9 @@ <h1>You need at least four atoms for molecules with some models<a class="headerl
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
 </pre></div>
 </div>
@@ -1034,12 +1049,12 @@ <h1>You need at least four atoms for molecules with some models<a class="headerl
 <span class="g g-Whitespace">    </span><span class="mi">742</span>     <span class="k">raise</span> <span class="n">PropertyNotImplementedError</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{}</span><span class="s1"> not present in this &#39;</span>
 <span class="g g-Whitespace">    </span><span class="mi">743</span>                                       <span class="s1">&#39;calculation&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="p">))</span>
 
-<span class="nn">File ~/work/ocp/ocp/ocpmodels/common/relaxation/ase_utils.py:225,</span> in <span class="ni">OCPCalculator.calculate</span><span class="nt">(self, atoms, properties, system_changes)</span>
-<span class="g g-Whitespace">    </span><span class="mi">222</span> <span class="n">data_object</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">a2g</span><span class="o">.</span><span class="n">convert</span><span class="p">(</span><span class="n">atoms</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">223</span> <span class="n">batch</span> <span class="o">=</span> <span class="n">data_list_collater</span><span class="p">([</span><span class="n">data_object</span><span class="p">],</span> <span class="n">otf_graph</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
-<span class="ne">--&gt; </span><span class="mi">225</span> <span class="n">predictions</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trainer</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">batch</span><span class="p">,</span> <span class="n">per_image</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">227</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">predictions</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">228</span>     <span class="n">_pred</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+<span class="nn">File ~/work/ocp/ocp/ocpmodels/common/relaxation/ase_utils.py:234,</span> in <span class="ni">OCPCalculator.calculate</span><span class="nt">(self, atoms, properties, system_changes)</span>
+<span class="g g-Whitespace">    </span><span class="mi">231</span> <span class="n">data_object</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">a2g</span><span class="o">.</span><span class="n">convert</span><span class="p">(</span><span class="n">atoms</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">232</span> <span class="n">batch</span> <span class="o">=</span> <span class="n">data_list_collater</span><span class="p">([</span><span class="n">data_object</span><span class="p">],</span> <span class="n">otf_graph</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="ne">--&gt; </span><span class="mi">234</span> <span class="n">predictions</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trainer</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">batch</span><span class="p">,</span> <span class="n">per_image</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">236</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">predictions</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">237</span>     <span class="n">_pred</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
 
 <span class="nn">File /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/utils/_contextlib.py:115,</span> in <span class="ni">context_decorator.&lt;locals&gt;.decorate_context</span><span class="nt">(*args, **kwargs)</span>
 <span class="g g-Whitespace">    </span><span class="mi">112</span> <span class="nd">@functools</span><span class="o">.</span><span class="n">wraps</span><span class="p">(</span><span class="n">func</span><span class="p">)</span>
@@ -1189,6 +1204,9 @@ <h1>To tag or not?<a class="headerlink" href="#to-tag-or-not" title="Link to thi
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
 </pre></div>
 </div>
@@ -1241,12 +1259,12 @@ <h1>To tag or not?<a class="headerlink" href="#to-tag-or-not" title="Link to thi
 <span class="g g-Whitespace">    </span><span class="mi">742</span>     <span class="k">raise</span> <span class="n">PropertyNotImplementedError</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{}</span><span class="s1"> not present in this &#39;</span>
 <span class="g g-Whitespace">    </span><span class="mi">743</span>                                       <span class="s1">&#39;calculation&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="p">))</span>
 
-<span class="nn">File ~/work/ocp/ocp/ocpmodels/common/relaxation/ase_utils.py:225,</span> in <span class="ni">OCPCalculator.calculate</span><span class="nt">(self, atoms, properties, system_changes)</span>
-<span class="g g-Whitespace">    </span><span class="mi">222</span> <span class="n">data_object</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">a2g</span><span class="o">.</span><span class="n">convert</span><span class="p">(</span><span class="n">atoms</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">223</span> <span class="n">batch</span> <span class="o">=</span> <span class="n">data_list_collater</span><span class="p">([</span><span class="n">data_object</span><span class="p">],</span> <span class="n">otf_graph</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
-<span class="ne">--&gt; </span><span class="mi">225</span> <span class="n">predictions</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trainer</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">batch</span><span class="p">,</span> <span class="n">per_image</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">227</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">predictions</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">228</span>     <span class="n">_pred</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
+<span class="nn">File ~/work/ocp/ocp/ocpmodels/common/relaxation/ase_utils.py:234,</span> in <span class="ni">OCPCalculator.calculate</span><span class="nt">(self, atoms, properties, system_changes)</span>
+<span class="g g-Whitespace">    </span><span class="mi">231</span> <span class="n">data_object</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">a2g</span><span class="o">.</span><span class="n">convert</span><span class="p">(</span><span class="n">atoms</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">232</span> <span class="n">batch</span> <span class="o">=</span> <span class="n">data_list_collater</span><span class="p">([</span><span class="n">data_object</span><span class="p">],</span> <span class="n">otf_graph</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="ne">--&gt; </span><span class="mi">234</span> <span class="n">predictions</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trainer</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">batch</span><span class="p">,</span> <span class="n">per_image</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">disable_tqdm</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">236</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">predictions</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">237</span>     <span class="n">_pred</span> <span class="o">=</span> <span class="n">predictions</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
 
 <span class="nn">File /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/utils/_contextlib.py:115,</span> in <span class="ni">context_decorator.&lt;locals&gt;.decorate_context</span><span class="nt">(*args, **kwargs)</span>
 <span class="g g-Whitespace">    </span><span class="mi">112</span> <span class="nd">@functools</span><span class="o">.</span><span class="n">wraps</span><span class="p">(</span><span class="n">func</span><span class="p">)</span>
@@ -1408,6 +1426,9 @@ <h1>To tag or not?<a class="headerlink" href="#to-tag-or-not" title="Link to thi
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 </pre></div>
@@ -1434,7 +1455,7 @@ <h1>To tag or not?<a class="headerlink" href="#to-tag-or-not" title="Link to thi
   warnings.warn(
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.42973706126213074
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.429736852645874
 </pre></div>
 </div>
 </div>
@@ -1470,6 +1491,9 @@ <h1>Stochastic simulation results<a class="headerlink" href="#stochastic-simulat
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 </pre></div>
@@ -1484,17 +1508,17 @@ <h1>Stochastic simulation results<a class="headerlink" href="#stochastic-simulat
   warnings.warn(
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1.213986873626709 1.6993074113088094e-06
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1.2139859199523926 1.6345154286387071e-06
+1.2139878273010254
 1.213984489440918
+1.2139828205108643
+1.2139861583709717
 1.2139849662780762
-1.2139849662780762
-1.2139856815338135
+1.2139854431152344
+1.2139861583709717
 1.2139866352081299
-1.2139880657196045
-1.2139892578125
-1.2139880657196045
-1.2139873504638672
-1.2139892578125
+1.213989019393921
+1.2139856815338135
 </pre></div>
 </div>
 </div>
@@ -1523,6 +1547,9 @@ <h1>The forces don’t sum to zero<a class="headerlink" href="#the-forces-don-t-
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 </pre></div>
@@ -1537,7 +1564,7 @@ <h1>The forces don’t sum to zero<a class="headerlink" href="#the-forces-don-t-
   warnings.warn(
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([ 0.00848318,  0.01409731, -0.05882764], dtype=float32)
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([ 0.00847925,  0.01409552, -0.0588274 ], dtype=float32)
 </pre></div>
 </div>
 </div>
@@ -1550,7 +1577,7 @@ <h1>The forces don’t sum to zero<a class="headerlink" href="#the-forces-don-t-
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([-1.0908116e-07, -9.0338290e-08, -1.1920929e-07], dtype=float32)
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([-2.5145710e-08, -3.5273843e-08,  3.5762787e-07], dtype=float32)
 </pre></div>
 </div>
 </div>
diff --git a/core/inference.html b/core/inference.html
index 654409f55..adff3eb35 100644
--- a/core/inference.html
+++ b/core/inference.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
@@ -586,12 +586,12 @@ <h1>Fast batched inference<a class="headerlink" href="#fast-batched-inference" t
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>--2024-04-16 23:01:46--  https://figshare.com/ndownloader/files/11948267
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>--2024-04-17 16:32:15--  https://figshare.com/ndownloader/files/11948267
 Resolving figshare.com (figshare.com)... 
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>34.253.100.243, 54.77.168.55, 2a05:d018:1f4:d000:42a7:6b3e:45b6:d10f, ...
-Connecting to figshare.com (figshare.com)|34.253.100.243|:443... 
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>52.215.154.10, 54.77.168.55, 2a05:d018:1f4:d003:ce8f:85cc:f8d7:8d48, ...
+Connecting to figshare.com (figshare.com)|52.215.154.10|:443... 
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>connected.
@@ -601,13 +601,13 @@ <h1>Fast batched inference<a class="headerlink" href="#fast-batched-inference" t
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>302 Found
-Location: https://s3-eu-west-1.amazonaws.com/pstorage-cmu-348901238291901/11948267/data.db?X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Credential=AKIAI266R7V6O36O5JUA/20240416/eu-west-1/s3/aws4_request&amp;X-Amz-Date=20240416T230147Z&amp;X-Amz-Expires=10&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Signature=c281b0a83f7790979878635c5b66e1c089d09064d3338f37d8eb5ab2ac4678bb [following]
---2024-04-16 23:01:47--  https://s3-eu-west-1.amazonaws.com/pstorage-cmu-348901238291901/11948267/data.db?X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Credential=AKIAI266R7V6O36O5JUA/20240416/eu-west-1/s3/aws4_request&amp;X-Amz-Date=20240416T230147Z&amp;X-Amz-Expires=10&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Signature=c281b0a83f7790979878635c5b66e1c089d09064d3338f37d8eb5ab2ac4678bb
+Location: https://s3-eu-west-1.amazonaws.com/pstorage-cmu-348901238291901/11948267/data.db?X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Credential=AKIAI266R7V6O36O5JUA/20240417/eu-west-1/s3/aws4_request&amp;X-Amz-Date=20240417T163216Z&amp;X-Amz-Expires=10&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Signature=a0ad77f9b1fda1155e958d536cd3c78cb3beb4c8211083009c2a3153d6982f97 [following]
+--2024-04-17 16:32:16--  https://s3-eu-west-1.amazonaws.com/pstorage-cmu-348901238291901/11948267/data.db?X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Credential=AKIAI266R7V6O36O5JUA/20240417/eu-west-1/s3/aws4_request&amp;X-Amz-Date=20240417T163216Z&amp;X-Amz-Expires=10&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Signature=a0ad77f9b1fda1155e958d536cd3c78cb3beb4c8211083009c2a3153d6982f97
 Resolving s3-eu-west-1.amazonaws.com (s3-eu-west-1.amazonaws.com)... 
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>52.218.88.235, 52.92.2.120, 52.218.109.27, ...
-Connecting to s3-eu-west-1.amazonaws.com (s3-eu-west-1.amazonaws.com)|52.218.88.235|:443... 
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>52.92.33.184, 52.92.33.240, 52.218.89.147, ...
+Connecting to s3-eu-west-1.amazonaws.com (s3-eu-west-1.amazonaws.com)|52.92.33.184|:443... 
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>connected.
@@ -624,39 +624,864 @@ <h1>Fast batched inference<a class="headerlink" href="#fast-batched-inference" t
 data.db               0%[                    ]       0  --.-KB/s               
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db               0%[                    ]  58.49K   257KB/s               
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db               0%[                    ] 124.96K   474KB/s               
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db               0%[                    ] 194.49K   426KB/s               
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db               2%[                    ]   1009K  1.91MB/s               
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db               1%[                    ] 772.49K  1.10MB/s               
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db               4%[                    ]   1.95M  2.48MB/s               
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db               7%[&gt;                   ]   3.05M  3.34MB/s               
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db               7%[&gt;                   ]   2.96M  2.85MB/s               
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              20%[===&gt;                ]   8.55M  7.50MB/s               
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db               8%[&gt;                   ]   3.70M  2.85MB/s               
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              34%[=====&gt;              ]  14.21M  10.4MB/s               
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              10%[=&gt;                  ]   4.30M  2.76MB/s               
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              48%[========&gt;           ]  19.86M  12.4MB/s               
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              12%[=&gt;                  ]   4.94M  2.76MB/s               
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              62%[===========&gt;        ]  25.75M  14.1MB/s               
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              13%[=&gt;                  ]   5.38M  2.70MB/s               
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              76%[==============&gt;     ]  31.39M  15.3MB/s               
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              14%[=&gt;                  ]   5.85M  2.58MB/s               
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              89%[================&gt;   ]  36.92M  16.1MB/s               
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              15%[==&gt;                 ]   6.20M  2.49MB/s               
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db             100%[===================&gt;]  41.13M  17.1MB/s    in 2.4s    
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              15%[==&gt;                 ]   6.43M  2.39MB/s               
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              16%[==&gt;                 ]   6.66M  2.28MB/s               
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              16%[==&gt;                 ]   6.94M  2.21MB/s    eta 15s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              17%[==&gt;                 ]   7.18M  2.14MB/s    eta 15s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              17%[==&gt;                 ]   7.38M  2.07MB/s    eta 15s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              18%[==&gt;                 ]   7.63M  2.10MB/s    eta 15s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              19%[==&gt;                 ]   7.84M  1.97MB/s    eta 15s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              19%[==&gt;                 ]   8.11M  1.80MB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              20%[===&gt;                ]   8.32M  1.66MB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              20%[===&gt;                ]   8.59M  1.55MB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              21%[===&gt;                ]   8.75M  1.38MB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              21%[===&gt;                ]   9.00M  1.33MB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              22%[===&gt;                ]   9.17M  1.24MB/s    eta 18s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              22%[===&gt;                ]   9.38M  1.16MB/s    eta 18s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              23%[===&gt;                ]   9.58M  1.05MB/s    eta 18s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              23%[===&gt;                ]   9.81M  1.02MB/s    eta 18s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              24%[===&gt;                ]   9.97M  1022KB/s    eta 18s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              24%[===&gt;                ]  10.13M   987KB/s    eta 20s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              24%[===&gt;                ]  10.23M   930KB/s    eta 20s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              25%[====&gt;               ]  10.35M   902KB/s    eta 20s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              25%[====&gt;               ]  10.45M   872KB/s    eta 20s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              25%[====&gt;               ]  10.53M   835KB/s    eta 20s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              25%[====&gt;               ]  10.65M   785KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              26%[====&gt;               ]  10.76M   751KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              26%[====&gt;               ]  10.85M   713KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              26%[====&gt;               ]  10.93M   676KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              26%[====&gt;               ]  11.01M   633KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              26%[====&gt;               ]  11.09M   591KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              27%[====&gt;               ]  11.19M   570KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              27%[====&gt;               ]  11.29M   551KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              27%[====&gt;               ]  11.39M   517KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              27%[====&gt;               ]  11.49M   483KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              28%[====&gt;               ]  11.59M   470KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              28%[====&gt;               ]  11.69M   458KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              28%[====&gt;               ]  11.81M   459KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              28%[====&gt;               ]  11.92M   458KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              29%[====&gt;               ]  12.05M   464KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              29%[====&gt;               ]  12.16M   470KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              29%[====&gt;               ]  12.31M   487KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              30%[=====&gt;              ]  12.42M   492KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              30%[=====&gt;              ]  12.57M   515KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              30%[=====&gt;              ]  12.71M   518KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              31%[=====&gt;              ]  12.85M   536KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              31%[=====&gt;              ]  12.97M   544KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              31%[=====&gt;              ]  13.09M   547KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              32%[=====&gt;              ]  13.22M   559KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              32%[=====&gt;              ]  13.34M   565KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              32%[=====&gt;              ]  13.49M   577KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              33%[=====&gt;              ]  13.62M   585KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              33%[=====&gt;              ]  13.77M   595KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              33%[=====&gt;              ]  13.90M   609KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              34%[=====&gt;              ]  14.07M   619KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              34%[=====&gt;              ]  14.20M   624KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              34%[=====&gt;              ]  14.35M   633KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              35%[======&gt;             ]  14.50M   637KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              35%[======&gt;             ]  14.66M   647KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              36%[======&gt;             ]  14.81M   650KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              36%[======&gt;             ]  14.98M   660KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              36%[======&gt;             ]  15.14M   672KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              37%[======&gt;             ]  15.31M   690KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              37%[======&gt;             ]  15.49M   703KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              38%[======&gt;             ]  15.68M   720KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              38%[======&gt;             ]  15.84M   738KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              38%[======&gt;             ]  16.03M   747KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              39%[======&gt;             ]  16.16M   743KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              39%[======&gt;             ]  16.31M   749KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              40%[=======&gt;            ]  16.46M   752KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              40%[=======&gt;            ]  16.63M   760KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              40%[=======&gt;            ]  16.81M   768KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              41%[=======&gt;            ]  16.92M   758KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              41%[=======&gt;            ]  17.10M   757KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              41%[=======&gt;            ]  17.24M   744KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              42%[=======&gt;            ]  17.34M   719KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              42%[=======&gt;            ]  17.42M   693KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              42%[=======&gt;            ]  17.49M   666KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              42%[=======&gt;            ]  17.59M   632KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              43%[=======&gt;            ]  17.69M   602KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              43%[=======&gt;            ]  17.80M   569KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              43%[=======&gt;            ]  17.92M   526KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              43%[=======&gt;            ]  18.03M   513KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              44%[=======&gt;            ]  18.11M   495KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              44%[=======&gt;            ]  18.17M   458KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              44%[=======&gt;            ]  18.23M   428KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              44%[=======&gt;            ]  18.32M   381KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              44%[=======&gt;            ]  18.40M   372KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              44%[=======&gt;            ]  18.50M   367KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              45%[========&gt;           ]  18.60M   362KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              45%[========&gt;           ]  18.70M   367KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              45%[========&gt;           ]  18.78M   371KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              45%[========&gt;           ]  18.88M   377KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              46%[========&gt;           ]  18.98M   381KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              46%[========&gt;           ]  19.10M   390KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              46%[========&gt;           ]  19.20M   386KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              46%[========&gt;           ]  19.31M   406KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              47%[========&gt;           ]  19.43M   405KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              47%[========&gt;           ]  19.56M   424KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              47%[========&gt;           ]  19.68M   445KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              48%[========&gt;           ]  19.83M   462KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              48%[========&gt;           ]  19.99M   493KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              49%[========&gt;           ]  20.16M   517KB/s    eta 27s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              49%[========&gt;           ]  20.29M   534KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              49%[========&gt;           ]  20.46M   556KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              50%[=========&gt;          ]  20.60M   579KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              50%[=========&gt;          ]  20.76M   597KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              50%[=========&gt;          ]  20.87M   601KB/s    eta 26s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              51%[=========&gt;          ]  21.01M   608KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              51%[=========&gt;          ]  21.12M   616KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              51%[=========&gt;          ]  21.27M   628KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              52%[=========&gt;          ]  21.42M   639KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              52%[=========&gt;          ]  21.54M   641KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              52%[=========&gt;          ]  21.67M   638KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              53%[=========&gt;          ]  21.80M   639KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              53%[=========&gt;          ]  21.92M   623KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              53%[=========&gt;          ]  22.05M   620KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              53%[=========&gt;          ]  22.13M   609KB/s    eta 25s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              54%[=========&gt;          ]  22.23M   596KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              54%[=========&gt;          ]  22.33M   573KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              54%[=========&gt;          ]  22.43M   563KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              54%[=========&gt;          ]  22.53M   549KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              55%[==========&gt;         ]  22.65M   558KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              55%[==========&gt;         ]  22.75M   532KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              55%[==========&gt;         ]  22.88M   534KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              55%[==========&gt;         ]  23.00M   533KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              56%[==========&gt;         ]  23.13M   530KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              56%[==========&gt;         ]  23.23M   512KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              56%[==========&gt;         ]  23.35M   505KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              57%[==========&gt;         ]  23.48M   503KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              57%[==========&gt;         ]  23.61M   501KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              57%[==========&gt;         ]  23.73M   501KB/s    eta 24s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              57%[==========&gt;         ]  23.83M   502KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              58%[==========&gt;         ]  23.91M   501KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              58%[==========&gt;         ]  24.02M   502KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              58%[==========&gt;         ]  24.11M   503KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              58%[==========&gt;         ]  24.22M   505KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              59%[==========&gt;         ]  24.33M   503KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              59%[==========&gt;         ]  24.43M   500KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              59%[==========&gt;         ]  24.51M   493KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              59%[==========&gt;         ]  24.59M   483KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              59%[==========&gt;         ]  24.66M   462KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              60%[===========&gt;        ]  24.76M   457KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              60%[===========&gt;        ]  24.84M   452KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              60%[===========&gt;        ]  24.91M   442KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              60%[===========&gt;        ]  24.99M   437KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              60%[===========&gt;        ]  25.07M   431KB/s    eta 23s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              61%[===========&gt;        ]  25.16M   414KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              61%[===========&gt;        ]  25.25M   407KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              61%[===========&gt;        ]  25.32M   400KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              61%[===========&gt;        ]  25.37M   387KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              61%[===========&gt;        ]  25.42M   377KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              61%[===========&gt;        ]  25.49M   369KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              62%[===========&gt;        ]  25.55M   356KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              62%[===========&gt;        ]  25.62M   345KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              62%[===========&gt;        ]  25.70M   336KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              62%[===========&gt;        ]  25.77M   333KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              62%[===========&gt;        ]  25.85M   329KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              63%[===========&gt;        ]  25.95M   333KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              63%[===========&gt;        ]  26.04M   336KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              63%[===========&gt;        ]  26.14M   345KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              63%[===========&gt;        ]  26.22M   342KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              63%[===========&gt;        ]  26.30M   340KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              64%[===========&gt;        ]  26.38M   349KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              64%[===========&gt;        ]  26.47M   344KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              64%[===========&gt;        ]  26.55M   350KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              64%[===========&gt;        ]  26.65M   361KB/s    eta 22s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              65%[============&gt;       ]  26.73M   377KB/s    eta 21s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              65%[============&gt;       ]  26.85M   387KB/s    eta 21s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              65%[============&gt;       ]  26.97M   400KB/s    eta 21s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              65%[============&gt;       ]  27.07M   415KB/s    eta 21s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              66%[============&gt;       ]  27.18M   423KB/s    eta 21s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              66%[============&gt;       ]  27.28M   433KB/s    eta 21s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              66%[============&gt;       ]  27.41M   445KB/s    eta 21s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              66%[============&gt;       ]  27.53M   455KB/s    eta 21s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              67%[============&gt;       ]  27.65M   462KB/s    eta 21s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              67%[============&gt;       ]  27.78M   475KB/s    eta 21s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              67%[============&gt;       ]  27.93M   486KB/s    eta 20s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              68%[============&gt;       ]  28.08M   505KB/s    eta 20s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              68%[============&gt;       ]  28.18M   508KB/s    eta 20s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              68%[============&gt;       ]  28.29M   516KB/s    eta 20s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              69%[============&gt;       ]  28.41M   531KB/s    eta 20s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              69%[============&gt;       ]  28.51M   529KB/s    eta 19s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              69%[============&gt;       ]  28.61M   532KB/s    eta 19s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              69%[============&gt;       ]  28.69M   526KB/s    eta 19s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              69%[============&gt;       ]  28.78M   521KB/s    eta 19s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              70%[=============&gt;      ]  28.88M   520KB/s    eta 19s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              70%[=============&gt;      ]  28.94M   509KB/s    eta 19s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              70%[=============&gt;      ]  29.02M   502KB/s    eta 19s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              70%[=============&gt;      ]  29.11M   487KB/s    eta 19s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              70%[=============&gt;      ]  29.19M   477KB/s    eta 19s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              71%[=============&gt;      ]  29.29M   470KB/s    eta 19s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              71%[=============&gt;      ]  29.37M   460KB/s    eta 18s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              71%[=============&gt;      ]  29.49M   460KB/s    eta 18s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              71%[=============&gt;      ]  29.59M   445KB/s    eta 18s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              72%[=============&gt;      ]  29.69M   448KB/s    eta 18s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              72%[=============&gt;      ]  29.80M   447KB/s    eta 18s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              72%[=============&gt;      ]  29.89M   440KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              72%[=============&gt;      ]  29.99M   437KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              73%[=============&gt;      ]  30.06M   430KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              73%[=============&gt;      ]  30.14M   419KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              73%[=============&gt;      ]  30.22M   414KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              73%[=============&gt;      ]  30.29M   414KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              73%[=============&gt;      ]  30.37M   409KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              74%[=============&gt;      ]  30.45M   414KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              74%[=============&gt;      ]  30.54M   414KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              74%[=============&gt;      ]  30.62M   414KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              74%[=============&gt;      ]  30.72M   418KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              74%[=============&gt;      ]  30.82M   419KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              75%[==============&gt;     ]  30.92M   419KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              75%[==============&gt;     ]  31.03M   423KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              75%[==============&gt;     ]  31.13M   422KB/s    eta 17s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              76%[==============&gt;     ]  31.27M   429KB/s    eta 16s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              76%[==============&gt;     ]  31.38M   437KB/s    eta 16s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              76%[==============&gt;     ]  31.51M   445KB/s    eta 16s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              76%[==============&gt;     ]  31.63M   462KB/s    eta 16s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              77%[==============&gt;     ]  31.77M   482KB/s    eta 16s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              77%[==============&gt;     ]  31.91M   498KB/s    eta 15s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              77%[==============&gt;     ]  32.06M   519KB/s    eta 15s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              78%[==============&gt;     ]  32.20M   533KB/s    eta 15s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              78%[==============&gt;     ]  32.36M   561KB/s    eta 15s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              79%[==============&gt;     ]  32.51M   579KB/s    eta 15s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              79%[==============&gt;     ]  32.68M   601KB/s    eta 13s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              79%[==============&gt;     ]  32.84M   617KB/s    eta 13s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              80%[===============&gt;    ]  33.02M   648KB/s    eta 13s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              80%[===============&gt;    ]  33.19M   666KB/s    eta 13s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              81%[===============&gt;    ]  33.37M   685KB/s    eta 13s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              81%[===============&gt;    ]  33.56M   702KB/s    eta 12s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              82%[===============&gt;    ]  33.76M   731KB/s    eta 12s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              82%[===============&gt;    ]  33.94M   753KB/s    eta 12s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              83%[===============&gt;    ]  34.15M   775KB/s    eta 12s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              83%[===============&gt;    ]  34.37M   794KB/s    eta 12s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              84%[===============&gt;    ]  34.62M   838KB/s    eta 10s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              84%[===============&gt;    ]  34.87M   868KB/s    eta 10s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              85%[================&gt;   ]  35.18M   916KB/s    eta 10s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              86%[================&gt;   ]  35.45M   947KB/s    eta 10s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              86%[================&gt;   ]  35.68M   965KB/s    eta 10s    
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              87%[================&gt;   ]  35.91M   983KB/s    eta 8s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              87%[================&gt;   ]  36.16M  1006KB/s    eta 8s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              88%[================&gt;   ]  36.35M  1009KB/s    eta 8s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              88%[================&gt;   ]  36.54M  1009KB/s    eta 8s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              89%[================&gt;   ]  36.72M  1010KB/s    eta 8s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              89%[================&gt;   ]  36.79M   976KB/s    eta 7s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              89%[================&gt;   ]  36.86M   945KB/s    eta 7s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              89%[================&gt;   ]  36.94M   914KB/s    eta 7s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              90%[=================&gt;  ]  37.03M   864KB/s    eta 7s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              90%[=================&gt;  ]  37.11M   814KB/s    eta 6s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              90%[=================&gt;  ]  37.18M   772KB/s    eta 6s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              90%[=================&gt;  ]  37.24M   725KB/s    eta 6s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              90%[=================&gt;  ]  37.33M   679KB/s    eta 6s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              90%[=================&gt;  ]  37.39M   627KB/s    eta 6s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              91%[=================&gt;  ]  37.47M   550KB/s    eta 6s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              91%[=================&gt;  ]  37.55M   509KB/s    eta 6s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              91%[=================&gt;  ]  37.64M   484KB/s    eta 6s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              91%[=================&gt;  ]  37.72M   440KB/s    eta 6s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              91%[=================&gt;  ]  37.82M   399KB/s    eta 6s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              92%[=================&gt;  ]  37.91M   386KB/s    eta 5s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              92%[=================&gt;  ]  38.01M   384KB/s    eta 5s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              92%[=================&gt;  ]  38.12M   376KB/s    eta 5s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              92%[=================&gt;  ]  38.24M   390KB/s    eta 5s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              93%[=================&gt;  ]  38.34M   396KB/s    eta 5s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              93%[=================&gt;  ]  38.47M   411KB/s    eta 4s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              93%[=================&gt;  ]  38.59M   424KB/s    eta 4s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              94%[=================&gt;  ]  38.72M   453KB/s    eta 4s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              94%[=================&gt;  ]  38.84M   467KB/s    eta 4s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              94%[=================&gt;  ]  38.99M   488KB/s    eta 4s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              95%[==================&gt; ]  39.12M   503KB/s    eta 3s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              95%[==================&gt; ]  39.27M   529KB/s    eta 3s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              95%[==================&gt; ]  39.42M   546KB/s    eta 3s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              96%[==================&gt; ]  39.57M   564KB/s    eta 3s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              96%[==================&gt; ]  39.73M   584KB/s    eta 3s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              97%[==================&gt; ]  39.90M   613KB/s    eta 2s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              97%[==================&gt; ]  40.05M   626KB/s    eta 2s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              97%[==================&gt; ]  40.23M   649KB/s    eta 2s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              98%[==================&gt; ]  40.41M   665KB/s    eta 2s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              98%[==================&gt; ]  40.58M   691KB/s    eta 2s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              99%[==================&gt; ]  40.77M   710KB/s    eta 1s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db              99%[==================&gt; ]  40.96M   732KB/s    eta 1s     
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data.db             100%[===================&gt;]  41.13M   751KB/s    in 64s     
 
-2024-04-16 23:01:50 (17.1 MB/s) - ‘data.db’ saved [43125760/43125760]
+2024-04-17 16:33:20 (655 KB/s) - ‘data.db’ saved [43125760/43125760]
 </pre></div>
 </div>
 </div>
@@ -693,28 +1518,28 @@ <h1>Fast batched inference<a class="headerlink" href="#fast-batched-inference" t
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>id|age|user  |formula|calculator|  energy|natoms| fmax|pbc|   volume|charge|     mass
- 1| 0s|runner|Au35   |unknown   | -88.638|    35|0.320|TTT| 5504.869| 0.000| 6893.830
- 2| 0s|runner|Au32   |unknown   | -77.697|    32|0.436|TTT| 5385.186| 0.000| 6302.930
- 3| 0s|runner|Au105  |unknown   |-293.183|   105|1.102|TTT|17545.702| 0.000|20681.490
- 4| 0s|runner|Au45   |unknown   |-117.857|    45|0.152|TTT| 6185.400| 0.000| 8863.496
- 5| 0s|runner|Au4    |unknown   | -12.103|     4|0.168|TTT|  143.096| 0.000|  787.866
- 6| 0s|runner|Au15   |unknown   | -35.590|    15|0.050|TTT| 3295.090| 0.000| 2954.499
- 7| 0s|runner|Au11   |unknown   | -35.135|    11|0.051|TTT|  186.773| 0.000| 2166.632
- 8| 0s|runner|Au37   |unknown   | -96.933|    37|0.233|TTT| 5771.976| 0.000| 7287.763
- 9| 0s|runner|Au31   |unknown   | -78.311|    31|0.475|TTT| 5304.824| 0.000| 6105.964
-10| 0s|runner|Au45   |unknown   |-117.683|    45|0.195|TTT| 6185.400| 0.000| 8863.496
-11| 0s|runner|Au25   |unknown   | -61.206|    25|0.163|TTT| 4771.343| 0.000| 4924.164
-12| 0s|runner|Au8    |unknown   | -17.234|     8|0.058|TTT| 2610.668| 0.000| 1575.733
-13| 0s|runner|Au49   |unknown   |-128.634|    49|0.459|TTT| 6534.501| 0.000| 9651.362
-14| 0s|runner|Au4    |unknown   | -12.084|     4|0.221|TTT|  143.096| 0.000|  787.866
-15| 0s|runner|Au3    |unknown   |  -4.041|     3|0.093|TTT| 2000.376| 0.000|  590.900
-16| 0s|runner|Au46   |unknown   |-121.327|    46|0.211|TTT| 6322.757| 0.000| 9060.462
-17| 0s|runner|Au20   |unknown   | -48.904|    20|0.200|TTT| 4413.396| 0.000| 3939.331
-18| 0s|runner|Au4    |unknown   |  -6.688|     4|1.836|TTT| 2911.104| 0.000|  787.866
-19| 0s|runner|Au4    |unknown   | -12.201|     4|0.025|TTT|  143.096| 0.000|  787.866
-20| 0s|runner|Au37   |unknown   | -89.156|    37|0.382|TTT| 5849.841| 0.000| 7287.763
+ 1| 0s|runner|Au45   |unknown   |-117.097|    45|0.401|TTT| 6185.400| 0.000| 8863.496
+ 2| 0s|runner|Au19   |unknown   | -46.107|    19|0.097|TTT| 4101.856| 0.000| 3742.365
+ 3| 0s|runner|Au116  |unknown   |-325.271|   116|0.594|TTT|13958.480| 0.000|22848.122
+ 4| 0s|runner|Au101  |unknown   |-281.980|   101|0.566|TTT|11967.598| 0.000|19893.623
+ 5| 0s|runner|Au17   |unknown   | -39.429|    17|0.280|TTT| 4121.531| 0.000| 3348.432
+ 6| 0s|runner|Au8    |unknown   |  -7.864|     8|0.000|TTT|  640.702| 0.000| 1575.733
+ 7| 0s|runner|Au3    |unknown   |  -4.040|     3|0.173|TTT| 2000.376| 0.000|  590.900
+ 8| 0s|runner|Au12   |unknown   | -27.020|    12|0.074|TTT| 3571.095| 0.000| 2363.599
+ 9| 0s|runner|Au41   |unknown   |-102.423|    41|0.603|TTT| 6012.425| 0.000| 8075.629
+10| 0s|runner|Au39   |unknown   | -99.951|    39|0.207|TTT| 5893.874| 0.000| 7681.696
+11| 0s|runner|Au23   |unknown   | -57.022|    23|0.042|TTT| 5856.390| 0.000| 4530.231
+12| 0s|runner|Au9    |unknown   | -19.427|     9|0.231|TTT| 4112.512| 0.000| 1772.699
+13| 0s|runner|Au16   |unknown   | -36.295|    16|0.503|TTT| 3923.762| 0.000| 3151.465
+14| 0s|runner|Au54   |unknown   |-140.951|    54|0.316|TTT| 6906.090| 0.000|10636.195
+15| 0s|runner|Au49   |unknown   |-120.122|    49|0.247|TTT| 7085.783| 0.000| 9651.362
+16| 0s|runner|Au41   |unknown   |-106.478|    41|0.279|TTT| 6012.425| 0.000| 8075.629
+17| 0s|runner|Au17   |unknown   | -39.838|    17|0.058|TTT| 4121.531| 0.000| 3348.432
+18| 0s|runner|Au46   |unknown   |-119.521|    46|0.425|TTT| 6322.757| 0.000| 9060.462
+19| 0s|runner|Au8    |unknown   | -16.452|     8|0.000|TTT|  345.929| 0.000| 1575.733
+20| 0s|runner|Au4    |unknown   |  -6.938|     4|0.111|TTT| 1729.543| 0.000|  787.866
 Rows: 50 (showing first 20)
-Keys: NEB, bulk, calc_time, cluster, config, diffusion, ediff, ediffg, encut, fault, fermi, gga, group, image, kpt1, kpt2, kpt3, miller, neural_energy, reax_energy, structure, surf, train_set, traj, vacuum, volume, xc
+Keys: bulk, calc_time, cluster, config, ediff, ediffg, encut, factor, fermi, gga, group, kpt1, kpt2, kpt3, neural_energy, reax_energy, strain, structure, train_set, traj, vacuum, volume, xc
 </pre></div>
 </div>
 </div>
@@ -731,9 +1556,6 @@ <h1>Fast batched inference<a class="headerlink" href="#fast-batched-inference" t
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(&#39;CGCNN 200k&#39;, &#39;CGCNN 2M&#39;, &#39;CGCNN 20M&#39;, &#39;CGCNN All&#39;, &#39;DimeNet 200k&#39;, &#39;DimeNet 2M&#39;, &#39;SchNet 200k&#39;, &#39;SchNet 2M&#39;, &#39;SchNet 20M&#39;, &#39;SchNet All&#39;, &#39;DimeNet++ 200k&#39;, &#39;DimeNet++ 2M&#39;, &#39;DimeNet++ 20M&#39;, &#39;DimeNet++ All&#39;, &#39;SpinConv 2M&#39;, &#39;SpinConv All&#39;, &#39;GemNet-dT 2M&#39;, &#39;GemNet-dT All&#39;, &#39;PaiNN All&#39;, &#39;GemNet-OC 2M&#39;, &#39;GemNet-OC All&#39;, &#39;GemNet-OC All+MD&#39;, &#39;GemNet-OC-Large All+MD&#39;, &#39;SCN 2M&#39;, &#39;SCN-t4-b2 2M&#39;, &#39;SCN All+MD&#39;, &#39;eSCN-L4-M2-Lay12 2M&#39;, &#39;eSCN-L6-M2-Lay12 2M&#39;, &#39;eSCN-L6-M2-Lay12All+MD&#39;, &#39;eSCN-L6-M3-Lay20All+MD&#39;, &#39;EquiformerV2 (83M) 2M&#39;, &#39;EquiformerV2 (31M) All+MD&#39;, &#39;EquiformerV2 (153M) All+MD&#39;, &#39;SchNet All forceonly&#39;, &#39;DimeNet++ All forceonly&#39;, &#39;DimeNet++-Large All&#39;, &#39;DimeNet++ 20M+Rattled&#39;, &#39;DimeNet++ 20M+MD&#39;, &#39;CGCNN 10k is2re&#39;, &#39;CGCNN 100k is2re&#39;, &#39;CGCNN All is2re&#39;, &#39;DimeNet 10k is2re&#39;, &#39;DimeNet 100k is2re&#39;, &#39;DimeNet All is2re&#39;, &#39;SchNet 10k is2re&#39;, &#39;SchNet 100k is2re&#39;, &#39;SchNet All is2re&#39;, &#39;DimeNet++ 10k is2re&#39;, &#39;DimeNet++ 100k is2re&#39;, &#39;DimeNet++ All is2re&#39;, &#39;PaiNNAll&#39;, &#39;GemNet-dTOC22&#39;, &#39;GemNet-OCOC22&#39;, &#39;GemNet-OCOC20+OC22&#39;, &#39;GemNet-OC enforce_max_neighbors_strictly=False&#39;, &#39;GemNet-OCOC20-&gt;OC22&#39;, &#39;EquiformerV2 lambda_E$=4 lambda_F$=100 OC22&#39;, &#39;SchNet&#39;, &#39;DimeNet++&#39;, &#39;PaiNN&#39;, &#39;GemNet-OC&#39;, &#39;eSCN&#39;, &#39;EquiformerV2&#39;, &#39;EquiformerV2 (Large)&#39;, &#39;Gemnet-OC (Direct)&#39;, &#39;eSCN (Direct)&#39;, &#39;EquiformerV2 (Direct)&#39;)
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
 </div>
 </div>
 <div class="cell docutils container">
@@ -780,6 +1602,9 @@ <h1>Fast batched inference<a class="headerlink" href="#fast-batched-inference" t
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 </pre></div>
@@ -824,7 +1649,7 @@ <h1>Fast batched inference<a class="headerlink" href="#fast-batched-inference" t
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:02:13 (INFO): Total time taken: 10.010130405426025
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:33:47 (INFO): Total time taken: 10.054125785827637
 </pre></div>
 </div>
 </div>
@@ -864,7 +1689,7 @@ <h1>Fast batched inference<a class="headerlink" href="#fast-batched-inference" t
 <div class="cell_output docutils container">
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,
        17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
-       34, 35, 36, 37, 38, 39, 40])
+       34, 35, 36, 37, 38, 39])
 </pre></div>
 </div>
 </div>
@@ -893,7 +1718,7 @@ <h1>Fast batched inference<a class="headerlink" href="#fast-batched-inference" t
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/4ee738dfd70ee746d6ead36948ff067760abf3376dadceb40e5dd013613dd292.png" src="../_images/4ee738dfd70ee746d6ead36948ff067760abf3376dadceb40e5dd013613dd292.png" />
+<img alt="../_images/dcdc99549323297e5dd30a0baf29747f2425e39a3d3be78b205c036848adc458.png" src="../_images/dcdc99549323297e5dd30a0baf29747f2425e39a3d3be78b205c036848adc458.png" />
 </div>
 </div>
 </section>
@@ -912,6 +1737,9 @@ <h1>The ASE calculator way<a class="headerlink" href="#the-ase-calculator-way" t
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 </pre></div>
@@ -947,106 +1775,94 @@ <h1>The ASE calculator way<a class="headerlink" href="#the-ase-calculator-way" t
   warnings.warn(
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1it [00:00,  4.60it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2it [00:00,  5.06it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>3it [00:01,  1.94it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>4it [00:01,  2.31it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>6it [00:01,  3.73it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>1it [00:00,  3.32it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>7it [00:02,  3.91it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2it [00:00,  5.34it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>8it [00:02,  4.24it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>3it [00:01,  1.72it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>9it [00:02,  3.95it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>4it [00:02,  1.40it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>10it [00:02,  4.50it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>6it [00:02,  2.68it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>12it [00:03,  4.95it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>8it [00:02,  3.61it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>13it [00:03,  4.45it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>9it [00:03,  3.77it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>14it [00:03,  5.14it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>10it [00:03,  4.32it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>15it [00:03,  4.99it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>12it [00:03,  6.17it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>16it [00:03,  4.28it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>13it [00:03,  4.92it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>17it [00:04,  4.29it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>14it [00:03,  4.59it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>18it [00:04,  3.86it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>15it [00:04,  4.40it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>19it [00:04,  4.12it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>17it [00:04,  4.78it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>20it [00:05,  3.74it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>19it [00:05,  2.94it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>21it [00:05,  3.99it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>20it [00:05,  3.42it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>22it [00:05,  3.26it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>22it [00:06,  4.19it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>24it [00:06,  2.55it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>24it [00:06,  3.85it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>25it [00:07,  2.68it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>25it [00:06,  3.99it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>27it [00:07,  3.32it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>26it [00:07,  3.99it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>28it [00:07,  3.32it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>27it [00:07,  4.40it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>29it [00:07,  3.64it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>28it [00:07,  5.01it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>30it [00:08,  4.16it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>30it [00:07,  6.16it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>32it [00:08,  4.79it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>31it [00:07,  5.36it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>33it [00:08,  4.30it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>33it [00:08,  6.08it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>35it [00:09,  4.60it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>35it [00:08,  5.76it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>36it [00:09,  4.26it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>36it [00:08,  5.08it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>38it [00:09,  5.99it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>37it [00:09,  3.41it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>40it [00:09,  7.39it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>38it [00:09,  3.64it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>41it [00:09,  5.90it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>39it [00:09,  3.57it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>41it [00:09,  4.11it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>40it [00:10,  4.00it/s]
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time 1e+01 seconds
@@ -1067,7 +1883,7 @@ <h1>The ASE calculator way<a class="headerlink" href="#the-ase-calculator-way" t
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/fa083ce0dec8caded35818ff6f33dfc5cad86df966ad654d7615cb13df4d5c2e.png" src="../_images/fa083ce0dec8caded35818ff6f33dfc5cad86df966ad654d7615cb13df4d5c2e.png" />
+<img alt="../_images/db59e456e02313c8795362533022046abe7db23613536b449f1dd94f5f42dcb1.png" src="../_images/db59e456e02313c8795362533022046abe7db23613536b449f1dd94f5f42dcb1.png" />
 </div>
 </div>
 </section>
@@ -1083,7 +1899,7 @@ <h1>Comparing ASE calculator and main.py<a class="headerlink" href="#comparing-a
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>63.795260933734774
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>83.44598577380181
 </pre></div>
 </div>
 </div>
@@ -1095,7 +1911,7 @@ <h1>Comparing ASE calculator and main.py<a class="headerlink" href="#comparing-a
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(-288.61547660827637, 288.61547660827637)
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(-328.6878499984741, 328.6878499984741)
 </pre></div>
 </div>
 </div>
@@ -1107,7 +1923,7 @@ <h1>Comparing ASE calculator and main.py<a class="headerlink" href="#comparing-a
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/cb636783f02f8ffa9a8f1612f9096926def4347c7058384ec9cfeb9b05c4f385.png" src="../_images/cb636783f02f8ffa9a8f1612f9096926def4347c7058384ec9cfeb9b05c4f385.png" />
+<img alt="../_images/8cbca623496582a115538a3185e324f2cb6a6650a860f5e35391dcaa25573435.png" src="../_images/8cbca623496582a115538a3185e324f2cb6a6650a860f5e35391dcaa25573435.png" />
 </div>
 </div>
 <p>Here we see many of the differences are very small. 0.0078125 = 1 / 128, and these errors strongly suggest some kind of mixed precision is responsible for these differences. It is an open issue to remove them and identify where the cause is.</p>
@@ -1118,19 +1934,19 @@ <h1>Comparing ASE calculator and main.py<a class="headerlink" href="#comparing-a
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([[ 0.00000000e+00, -1.02896500e+01,  2.12017990e+02, ...,
-        -5.39393005e+01, -5.91954803e+01,  4.35600891e+01],
-       [ 1.02896500e+01,  0.00000000e+00,  2.22307640e+02, ...,
-        -4.36496506e+01, -4.89058304e+01,  5.38497391e+01],
-       [-2.12017990e+02, -2.22307640e+02,  0.00000000e+00, ...,
-        -2.65957291e+02, -2.71213470e+02, -1.68457901e+02],
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([[ 0.00000000e+00, -7.52059479e+01,  2.12365494e+02, ...,
+        -2.51176224e+01,  8.39323425e+00, -1.04047388e+02],
+       [ 7.52059441e+01, -3.81469727e-06,  2.87571438e+02, ...,
+         5.00883217e+01,  8.35991783e+01, -2.88414440e+01],
+       [-2.12365494e+02, -2.87571442e+02,  0.00000000e+00, ...,
+        -2.37483116e+02, -2.03972260e+02, -3.16412882e+02],
        ...,
-       [ 5.39393005e+01,  4.36496506e+01,  2.65957291e+02, ...,
-         0.00000000e+00, -5.25617981e+00,  9.74993896e+01],
-       [ 5.91954765e+01,  4.89058266e+01,  2.71213467e+02, ...,
-         5.25617599e+00, -3.81469727e-06,  1.02755566e+02],
-       [-4.35600891e+01, -5.38497391e+01,  1.68457901e+02, ...,
-        -9.74993896e+01, -1.02755569e+02,  0.00000000e+00]])
+       [ 2.51176224e+01, -5.00883255e+01,  2.37483116e+02, ...,
+         0.00000000e+00,  3.35108566e+01, -7.89297657e+01],
+       [-8.39323425e+00, -8.35991821e+01,  2.03972260e+02, ...,
+        -3.35108566e+01,  0.00000000e+00, -1.12440622e+02],
+       [ 1.04047386e+02,  2.88414383e+01,  3.16412880e+02, ...,
+         7.89297638e+01,  1.12440620e+02, -1.90734863e-06]])
 </pre></div>
 </div>
 </div>
diff --git a/core/install.html b/core/install.html
index a71789808..1cab950e2 100644
--- a/core/install.html
+++ b/core/install.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
diff --git a/core/intro_series.html b/core/intro_series.html
index aaa0a79f6..8bdbfe788 100644
--- a/core/intro_series.html
+++ b/core/intro_series.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
diff --git a/core/license.html b/core/license.html
index cf09d5c46..b836c2fef 100644
--- a/core/license.html
+++ b/core/license.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
diff --git a/core/lmdb_dataset_creation.html b/core/lmdb_dataset_creation.html
index f5eeb1fbf..34098ebb8 100644
--- a/core/lmdb_dataset_creation.html
+++ b/core/lmdb_dataset_creation.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
@@ -837,52 +837,46 @@ <h2>Structure to Energy and Forces (S2EF) LMDBs<a class="headerlink" href="#stru
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1001 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  5%|▌         | 55/1001 [00:00&lt;00:01, 544.54it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  6%|▋         | 65/1001 [00:00&lt;00:01, 649.48it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 12%|█▏        | 117/1001 [00:00&lt;00:01, 585.17it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 14%|█▍        | 141/1001 [00:00&lt;00:01, 713.65it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 18%|█▊        | 183/1001 [00:00&lt;00:01, 617.46it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 22%|██▏       | 217/1001 [00:00&lt;00:01, 731.85it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 25%|██▍       | 248/1001 [00:00&lt;00:01, 627.70it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 29%|██▉       | 291/1001 [00:00&lt;00:00, 721.49it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 31%|███▏      | 313/1001 [00:00&lt;00:01, 634.65it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 36%|███▋      | 364/1001 [00:00&lt;00:00, 712.63it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 38%|███▊      | 381/1001 [00:00&lt;00:00, 648.44it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 44%|████▎     | 437/1001 [00:00&lt;00:00, 716.72it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 45%|████▌     | 452/1001 [00:00&lt;00:00, 665.27it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 51%|█████     | 509/1001 [00:00&lt;00:00, 715.71it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 52%|█████▏    | 519/1001 [00:00&lt;00:00, 653.84it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 58%|█████▊    | 581/1001 [00:00&lt;00:00, 714.03it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 58%|█████▊    | 585/1001 [00:00&lt;00:00, 638.53it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 65%|██████▌   | 653/1001 [00:00&lt;00:00, 712.18it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 65%|██████▍   | 649/1001 [00:01&lt;00:00, 625.90it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 72%|███████▏  | 725/1001 [00:01&lt;00:00, 713.15it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 71%|███████   | 712/1001 [00:01&lt;00:00, 607.88it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 80%|███████▉  | 797/1001 [00:01&lt;00:00, 712.42it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 77%|███████▋  | 773/1001 [00:01&lt;00:00, 592.86it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 87%|████████▋ | 871/1001 [00:01&lt;00:00, 719.17it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 83%|████████▎ | 834/1001 [00:01&lt;00:00, 595.63it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 95%|█████████▍| 946/1001 [00:01&lt;00:00, 726.25it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 89%|████████▉ | 894/1001 [00:01&lt;00:00, 572.81it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 95%|█████████▌| 952/1001 [00:01&lt;00:00, 565.03it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1001/1001 [00:01&lt;00:00, 605.70it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1001/1001 [00:01&lt;00:00, 716.64it/s]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
diff --git a/core/model_checkpoints.html b/core/model_checkpoints.html
index 22b452d7f..f7516f2ee 100644
--- a/core/model_checkpoints.html
+++ b/core/model_checkpoints.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
diff --git a/core/model_faq.html b/core/model_faq.html
index 3b664be3c..a235bbb76 100644
--- a/core/model_faq.html
+++ b/core/model_faq.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
diff --git a/core/model_training.html b/core/model_training.html
index 2373d5433..c1d11d039 100644
--- a/core/model_training.html
+++ b/core/model_training.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
diff --git a/core/ocpapi.html b/core/ocpapi.html
index 621d1ef50..8f8d567bf 100644
--- a/core/ocpapi.html
+++ b/core/ocpapi.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
@@ -906,9 +906,6 @@ <h3>Skip relaxation approval prompts<a class="headerlink" href="#skip-relaxation
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/111 [00:30]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/111 [00:30]
-</pre></div>
-</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/111 [00:31]
 </pre></div>
 </div>
@@ -999,10 +996,7 @@ <h3>Skip relaxation approval prompts<a class="headerlink" href="#skip-relaxation
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/111 [01:00]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/111 [01:01]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/111 [01:01]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/111 [01:00]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   1%|          | 1/111 [01:01]
@@ -1035,7 +1029,7 @@ <h3>Skip relaxation approval prompts<a class="headerlink" href="#skip-relaxation
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   1%|          | 1/111 [01:10]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   1%|          | 1/111 [01:11]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   1%|          | 1/111 [01:10]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   1%|          | 1/111 [01:11]
@@ -1101,268 +1095,292 @@ <h3>Skip relaxation approval prompts<a class="headerlink" href="#skip-relaxation
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   1%|          | 1/111 [01:30]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   1%|          | 1/111 [01:31]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   1%|          | 1/111 [01:30]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   1%|          | 1/111 [01:31]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  12%|█▏        | 13/111 [01:32]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   5%|▍         | 5/111 [01:31]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   5%|▍         | 5/111 [01:32]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  12%|█▏        | 13/111 [01:32]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   5%|▍         | 5/111 [01:33]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  12%|█▏        | 13/111 [01:33]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   5%|▍         | 5/111 [01:34]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  12%|█▏        | 13/111 [01:34]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   5%|▍         | 5/111 [01:35]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  12%|█▏        | 13/111 [01:35]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   5%|▍         | 5/111 [01:36]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  12%|█▏        | 13/111 [01:36]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   5%|▍         | 5/111 [01:37]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  12%|█▏        | 13/111 [01:37]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   5%|▍         | 5/111 [01:38]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  12%|█▏        | 13/111 [01:38]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   5%|▍         | 5/111 [01:39]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  12%|█▏        | 13/111 [01:39]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   5%|▍         | 5/111 [01:40]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  12%|█▏        | 13/111 [01:40]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   5%|▍         | 5/111 [01:41]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  12%|█▏        | 13/111 [01:41]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:41]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  12%|█▏        | 13/111 [01:42]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:42]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:42]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:43]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:43]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:44]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:44]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:45]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:45]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:46]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:46]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:47]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:47]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:48]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:48]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:49]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:49]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:50]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:50]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:51]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:51]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:51]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:52]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:52]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:52]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:53]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:53]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:54]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:54]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:55]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:55]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:56]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:56]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:57]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:57]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:58]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:58]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [01:59]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [01:59]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   8%|▊         | 9/111 [02:00]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [02:00]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  32%|███▏      | 35/111 [02:01]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  15%|█▌        | 17/111 [02:01]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  32%|███▏      | 35/111 [02:01]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  42%|████▏     | 47/111 [02:01]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  32%|███▏      | 35/111 [02:01]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  42%|████▏     | 47/111 [02:02]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  32%|███▏      | 35/111 [02:02]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  42%|████▏     | 47/111 [02:03]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  32%|███▏      | 35/111 [02:03]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  42%|████▏     | 47/111 [02:03]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  32%|███▏      | 35/111 [02:04]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  42%|████▏     | 47/111 [02:04]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  32%|███▏      | 35/111 [02:05]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  42%|████▏     | 47/111 [02:05]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  32%|███▏      | 35/111 [02:06]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  42%|████▏     | 47/111 [02:06]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  32%|███▏      | 35/111 [02:07]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  42%|████▏     | 47/111 [02:07]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  32%|███▏      | 35/111 [02:08]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  42%|████▏     | 47/111 [02:08]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  32%|███▏      | 35/111 [02:09]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  42%|████▏     | 47/111 [02:09]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  32%|███▏      | 35/111 [02:10]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  42%|████▏     | 47/111 [02:10]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  32%|███▏      | 35/111 [02:11]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  42%|████▏     | 47/111 [02:11]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:11]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  52%|█████▏    | 58/111 [02:11]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:12]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  52%|█████▏    | 58/111 [02:12]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:12]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  52%|█████▏    | 58/111 [02:13]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:13]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  52%|█████▏    | 58/111 [02:13]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:14]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  52%|█████▏    | 58/111 [02:14]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:15]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  52%|█████▏    | 58/111 [02:15]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:16]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  52%|█████▏    | 58/111 [02:16]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:17]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  52%|█████▏    | 58/111 [02:17]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:18]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  52%|█████▏    | 58/111 [02:18]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:19]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  52%|█████▏    | 58/111 [02:19]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:20]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  52%|█████▏    | 58/111 [02:20]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:21]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  52%|█████▏    | 58/111 [02:21]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:22]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:22]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:22]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:22]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:23]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:23]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:24]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:23]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:25]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:24]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:26]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:25]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:27]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:26]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:28]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:27]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:29]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:28]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:30]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:29]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:31]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:30]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  57%|█████▋    | 63/111 [02:32]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:31]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  71%|███████   | 79/111 [02:32]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:32]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  71%|███████   | 79/111 [02:33]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  64%|██████▍   | 71/111 [02:33]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  71%|███████   | 79/111 [02:34]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  77%|███████▋  | 86/111 [02:34]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  71%|███████   | 79/111 [02:35]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  77%|███████▋  | 86/111 [02:34]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  71%|███████   | 79/111 [02:36]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  77%|███████▋  | 86/111 [02:35]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  71%|███████   | 79/111 [02:37]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  77%|███████▋  | 86/111 [02:36]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  71%|███████   | 79/111 [02:38]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  77%|███████▋  | 86/111 [02:37]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  71%|███████   | 79/111 [02:39]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  77%|███████▋  | 86/111 [02:38]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  71%|███████   | 79/111 [02:40]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  77%|███████▋  | 86/111 [02:39]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  71%|███████   | 79/111 [02:41]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  77%|███████▋  | 86/111 [02:40]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  71%|███████   | 79/111 [02:42]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  77%|███████▋  | 86/111 [02:41]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  86%|████████▌ | 95/111 [02:42]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  77%|███████▋  | 86/111 [02:42]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  86%|████████▌ | 95/111 [02:43]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  77%|███████▋  | 86/111 [02:43]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  86%|████████▌ | 95/111 [02:44]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations: 100%|██████████| 111/111 [02:44]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  86%|████████▌ | 95/111 [02:45]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations: 100%|██████████| 111/111 [02:44]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  86%|████████▌ | 95/111 [02:46]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  86%|████████▌ | 95/111 [02:47]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  86%|████████▌ | 95/111 [02:48]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  86%|████████▌ | 95/111 [02:49]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  86%|████████▌ | 95/111 [02:50]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  86%|████████▌ | 95/111 [02:51]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  86%|████████▌ | 95/111 [02:52]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations: 100%|██████████| 111/111 [02:52]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>                                                      
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>AdsorbateBindingSites(adsorbate=&#39;*OH&#39;, bulk=Bulk(other_fields={}, src_id=&#39;mp-126&#39;, formula=&#39;Pt&#39;, elements=[&#39;Pt&#39;]), model=&#39;equiformer_v2_31M_s2ef_all_md&#39;, slabs=[AdsorbateSlabRelaxations(slab=Slab(other_fields={}, atoms=Atoms(other_fields={}, cell=((8.463768833067146, 0.0, 5.182563705069405e-16), (-4.231884416533573, 7.3298388211951195, 5.182563705069404e-16), (0.0, 0.0, 34.55319156980987)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78], positions=[(1.4106281388445252, 2.4432796070650378, 16.124822732577936), (-1.4409653513198624e-16, 1.6288530713766924, 11.517730523269954), (1.410628138844525, 0.8144265356883461, 13.821276627923945), (1.4106281388445234, 2.443279607065039, 23.03546104653991), (1.3705266201398682e-15, 1.6288530713766913, 18.428368837231925), (1.410628138844524, 0.8144265356883452, 20.731914941885922), (8.881784197001252e-16, 4.886559214130077, 16.124822732577936), (-1.4106281388445245, 4.072132678441733, 11.517730523269954), (6.661338147750939e-16, 3.257706142753386, 13.821276627923945), (-8.881784197001252e-16, 4.886559214130079, 23.03546104653991), (-1.410628138844523, 4.072132678441731, 18.428368837231925), (-2.220446049250313e-16, 3.2577061427533853, 20.731914941885922), (-1.4106281388445234, 7.329838821195118, 16.124822732577936), (-2.8212562776890486, 6.515412285506772, 11.517730523269954), (-1.4106281388445236, 5.700985749818426, 13.821276627923945), (-1.4106281388445252, 7.3298388211951195, 23.03546104653991), (-2.8212562776890473, 6.5154122855067715, 18.428368837231925), (-1.4106281388445245, 5.700985749818425, 20.731914941885922), (4.231884416533574, 2.4432796070650378, 16.124822732577936), (2.8212562776890486, 1.6288530713766924, 11.517730523269954), (4.231884416533574, 0.8144265356883461, 13.821276627923945), (4.231884416533572, 2.443279607065039, 23.03546104653991), (2.82125627768905, 1.6288530713766913, 18.428368837231925), (4.231884416533573, 0.8144265356883452, 20.731914941885922), (2.8212562776890495, 4.886559214130077, 16.124822732577936), (1.410628138844524, 4.072132678441733, 11.517730523269954), (2.8212562776890495, 3.257706142753386, 13.821276627923945), (2.8212562776890477, 4.886559214130079, 23.03546104653991), (1.4106281388445256, 4.072132678441731, 18.428368837231925), (2.8212562776890486, 3.2577061427533853, 20.731914941885922), (1.4106281388445252, 7.329838821195118, 16.124822732577936), (-1.4409653513198624e-16, 6.515412285506772, 11.517730523269954), (1.410628138844525, 5.700985749818426, 13.821276627923945), (1.4106281388445234, 7.3298388211951195, 23.03546104653991), (1.3705266201398682e-15, 6.5154122855067715, 18.428368837231925), (1.410628138844524, 5.700985749818425, 20.731914941885922), (7.0531406942226225, 2.4432796070650378, 16.124822732577936), (5.642512555378097, 1.6288530713766924, 11.517730523269954), (7.0531406942226225, 0.8144265356883461, 13.821276627923945), (7.053140694222621, 2.443279607065039, 23.03546104653991), (5.642512555378099, 1.6288530713766913, 18.428368837231925), (7.053140694222622, 0.8144265356883452, 20.731914941885922), (5.642512555378098, 4.886559214130077, 16.124822732577936), (4.231884416533573, 4.072132678441733, 11.517730523269954), (5.642512555378098, 3.257706142753386, 13.821276627923945), (5.642512555378096, 4.886559214130079, 23.03546104653991), (4.231884416533575, 4.072132678441731, 18.428368837231925), (5.642512555378097, 3.2577061427533853, 20.731914941885922), (4.231884416533574, 7.329838821195118, 16.124822732577936), (2.8212562776890486, 6.515412285506772, 11.517730523269954), (4.231884416533574, 5.700985749818426, 13.821276627923945), (4.231884416533572, 7.3298388211951195, 23.03546104653991), (2.82125627768905, 6.5154122855067715, 18.428368837231925), (4.231884416533573, 5.700985749818425, 20.731914941885922)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0]), metadata=SlabMetadata(other_fields={}, bulk_src_id=&#39;mp-126&#39;, millers=(1, 1, 1), shift=0.16666666666666677, top=True)), configs=[AdsorbateSlabRelaxationResult(other_fields={}, config_id=0, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4563262462615967, 2.4243695735931396, 23.065139770507812), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.049197759479284286, 4.871161937713623, 23.07329750061035), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3817023038864136, 7.298975944519043, 23.055999755859375), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.279107570648193, 2.3854939937591553, 23.077444076538086), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.823101758956909, 4.892443656921387, 23.03121566772461), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4505090713500977, 7.295906066894531, 23.063718795776367), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.1937737464904785, 2.3734583854675293, 22.989471435546875), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.726957321166992, 4.859827041625977, 23.09041404724121), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.277471542358398, 7.289664268493652, 23.067333221435547), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.077878952026367, 3.258153200149536, 24.792970657348633), (5.8796539306640625, 2.6867241859436035, 24.930171966552734)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.2469003200531006, energy_trajectory=[2.7751011848449707, 2.745682716369629, 2.722376585006714, 2.701378345489502, 2.6816489696502686, 2.6633033752441406, 2.645724058151245, 2.629044771194458, 2.6129486560821533, 2.59748911857605, 2.582559108734131, 2.5681087970733643, 2.554079055786133, 2.540437936782837, 2.5271592140197754, 2.5142226219177246, 2.5016140937805176, 2.4889121055603027, 2.4769203662872314, 2.4652175903320312, 2.453134298324585, 2.4420666694641113, 2.4311699867248535, 2.4205257892608643, 2.4101197719573975, 2.3999457359313965, 2.38999080657959, 2.380239963531494, 2.3706846237182617, 2.361313581466675, 2.352121114730835, 2.3431880474090576, 2.334315299987793, 2.325598955154419, 2.317028045654297, 2.3085978031158447, 2.300297737121582, 2.2921268939971924, 2.284075975418091, 2.2762420177459717, 2.2684166431427, 2.2607016563415527, 2.25309157371521, 2.245581865310669, 2.238170862197876, 2.230851411819458, 2.224496841430664, 2.2173681259155273, 2.210296630859375, 2.2033259868621826, 2.1964335441589355, 2.189615249633789, 2.182868003845215, 2.176190137863159, 2.16957950592041, 2.163160800933838, 2.1566708087921143, 2.1502418518066406, 2.1438729763031006, 2.137585401535034, 2.131326913833618, 2.1250033378601074, 2.118821859359741, 2.112691640853882, 2.1066102981567383, 2.1005706787109375, 2.094578266143799, 2.0884976387023926, 2.0825793743133545, 2.076697826385498, 2.0708506107330322, 2.0650382041931152, 2.059246778488159, 2.053495168685913, 2.047771453857422, 2.042076587677002, 2.0364127159118652, 2.030700922012329, 2.0250911712646484, 2.019510507583618, 2.01395320892334, 2.0084211826324463, 2.002913236618042, 1.9974286556243896, 1.992086410522461, 1.9866490364074707, 1.9818100929260254, 1.9764227867126465, 1.971057415008545, 1.9658534526824951, 1.9605326652526855, 1.9552373886108398, 1.9499576091766357, 1.9447033405303955, 1.9394710063934326, 1.9342615604400635, 1.9290680885314941, 1.9237043857574463, 1.9185457229614258, 1.9134001731872559, 1.9082694053649902, 1.9031524658203125, 1.8980443477630615, 1.8929495811462402, 1.8878629207611084, 1.8827874660491943, 1.8779196739196777, 1.8728611469268799, 1.8678128719329834, 1.8627748489379883, 1.8577487468719482, 1.852736234664917, 1.847733974456787, 1.8427438735961914, 1.837766408920288, 1.8328027725219727, 1.8277697563171387, 1.822829246520996, 1.8179023265838623, 1.812988042831421, 1.8079214096069336, 1.8030376434326172, 1.7978265285491943, 1.792966604232788, 1.7881200313568115, 1.783287763595581, 1.7784700393676758, 1.7736670970916748, 1.7690441608428955, 1.7642738819122314, 1.7595791816711426, 1.7548413276672363, 1.750122308731079, 1.7454171180725098, 1.7407307624816895, 1.7359623908996582, 1.7313125133514404, 1.726682424545288, 1.7220711708068848, 1.7174808979034424, 1.7129099369049072, 1.7083604335784912, 1.7038323879241943, 1.6993281841278076, 1.6948435306549072, 1.6903822422027588, 1.6857192516326904, 1.6812999248504639, 1.6769022941589355, 1.672450065612793, 1.668257713317871, 1.6639318466186523, 1.6596283912658691, 1.655259609222412, 1.6510024070739746, 1.646766185760498, 1.642432451248169, 1.6383206844329834, 1.6341519355773926, 1.6300044059753418, 1.6258797645568848, 1.621777057647705, 1.617856740951538, 1.6136360168457031, 1.60959792137146, 1.6055803298950195, 1.6015820503234863, 1.597607135772705, 1.5936508178710938, 1.5897150039672852, 1.5857975482940674, 1.5819017887115479, 1.5780251026153564, 1.574169635772705, 1.5703320503234863, 1.5665159225463867, 1.562720537185669, 1.5589442253112793, 1.5551886558532715, 1.5514521598815918, 1.5477359294891357, 1.5440397262573242, 1.5403614044189453, 1.536703109741211, 1.5330638885498047, 1.5293982028961182, 1.525794506072998, 1.5222082138061523, 1.5186409950256348, 1.5150902271270752, 1.5115573406219482, 1.5080411434173584, 1.504542589187622, 1.50105881690979, 1.4975917339324951, 1.4941413402557373, 1.4907069206237793, 1.487287998199463, 1.4838836193084717, 1.4804959297180176, 1.4771227836608887, 1.4737639427185059, 1.4704182147979736, 1.4670889377593994, 1.4637737274169922, 1.460472822189331, 1.4572474956512451, 1.4539735317230225, 1.4507155418395996, 1.4474716186523438, 1.4442436695098877, 1.4410293102264404, 1.4378294944763184, 1.4346377849578857, 1.4314699172973633, 1.4284026622772217, 1.4252674579620361, 1.4221668243408203, 1.4190998077392578, 1.4160664081573486, 1.413034200668335, 1.4100661277770996, 1.4071297645568848, 1.404224157333374, 1.4010343551635742, 1.398193359375, 1.3953814506530762, 1.3926002979278564, 1.3899283409118652, 1.3872056007385254, 1.3845112323760986, 1.3818438053131104, 1.3792028427124023, 1.3765883445739746, 1.3739988803863525, 1.3714349269866943, 1.3688979148864746, 1.3663835525512695, 1.364255428314209, 1.3617885112762451, 1.3593425750732422, 1.356919527053833, 1.354358434677124, 1.3516209125518799, 1.3492627143859863, 1.3469226360321045, 1.3446085453033447, 1.3423147201538086, 1.340043306350708, 1.3377346992492676, 1.3356480598449707, 1.3334364891052246, 1.3312456607818604, 1.3290753364562988, 1.3269245624542236, 1.3244726657867432, 1.3223605155944824, 1.320267915725708, 1.3181941509246826, 1.316138744354248, 1.314100980758667, 1.312082290649414, 1.3100800514221191, 1.3080956935882568, 1.3061296939849854, 1.3043482303619385, 1.3024156093597412, 1.3004369735717773, 1.2985374927520752, 1.296654462814331, 1.2947871685028076, 1.2929356098175049, 1.2911005020141602, 1.2894535064697266, 1.2876489162445068, 1.285860300064087, 1.284052848815918, 1.2822930812835693, 1.280547857284546, 1.2788166999816895, 1.277099370956421, 1.275465488433838, 1.2737762928009033, 1.2721004486083984, 1.270437240600586, 1.268787145614624, 1.2671489715576172, 1.2655231952667236, 1.2639093399047852, 1.262467622756958, 1.2608773708343506, 1.259369134902954, 1.2578017711639404, 1.2560062408447266, 1.2544620037078857, 1.2529284954071045, 1.2514054775238037, 1.2498936653137207, 1.24839186668396, 1.2469003200531006], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02690836414694786, -0.02255561389029026, 0.0036680542398244143), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.026768192648887634, -0.029227247461676598, 0.011282508261501789), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.026546014472842216, -0.028442423790693283, 0.0006822214345447719), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.05793401598930359, -0.05845579877495766, 0.023346414789557457), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.016263874247670174, -0.016515998169779778, -0.014871440827846527), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.034666139632463455, -0.029178041964769363, 0.011967972852289677), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010707364417612553, -0.021626999601721764, 0.034007053822278976), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.030188564211130142, -0.03835751488804817, 0.027881981804966927), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.029037578031420708, -0.022024763748049736, 0.004596552345901728), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.23724916577339172, 0.08999259769916534, 0.09265122562646866), (-0.14953099191188812, 0.2445559948682785, 0.20135848224163055)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=1, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.5940519571304321, 2.3523623943328857, 23.080345153808594), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.20219647884368896, 4.8002777099609375, 23.08395004272461), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.2251695394515991, 7.257873058319092, 23.06412696838379), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.438990592956543, 2.3185300827026367, 23.112571716308594), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.9279510974884033, 4.835691928863525, 23.018463134765625), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.5935351848602295, 7.233216285705566, 23.088470458984375), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.296013832092285, 2.3123269081115723, 23.02815055847168), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.906605243682861, 4.825644016265869, 23.07801055908203), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.41026496887207, 7.2402801513671875, 23.077516555786133), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.258303642272949, 3.6744272708892822, 24.743671417236328), (4.507687091827393, 4.1705217361450195, 25.137895584106445)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0833098888397217, energy_trajectory=[1.361112356185913, 1.3466041088104248, 1.3354508876800537, 1.3247816562652588, 1.3144853115081787, 1.3047161102294922, 1.2947988510131836, 1.2850141525268555, 1.2768170833587646, 1.267359972000122, 1.2587389945983887, 1.2507047653198242, 1.243138074874878, 1.2361118793487549, 1.229332447052002, 1.2231059074401855, 1.2169749736785889, 1.2112107276916504, 1.2053821086883545, 1.2008161544799805, 1.1957449913024902, 1.1908462047576904, 1.186152458190918, 1.1816527843475342, 1.1772823333740234, 1.1730072498321533, 1.168867826461792, 1.165029764175415, 1.1615455150604248, 1.157999038696289, 1.1545860767364502, 1.1513030529022217, 1.148144245147705, 1.1447265148162842, 1.1417922973632812, 1.1389656066894531, 1.1362419128417969, 1.1336157321929932, 1.1308565139770508, 1.1284141540527344, 1.1260592937469482, 1.123788833618164, 1.121485948562622, 1.1193673610687256, 1.117377519607544, 1.1154017448425293, 1.1134920120239258, 1.1116461753845215, 1.1098616123199463, 1.108147382736206, 1.1064751148223877, 1.1048572063446045, 1.103292465209961, 1.1017756462097168, 1.1003069877624512, 1.098883867263794, 1.0975043773651123, 1.096165418624878, 1.0945377349853516, 1.093276023864746, 1.0920507907867432, 1.0909266471862793, 1.0897717475891113, 1.0886480808258057, 1.0875539779663086, 1.086488962173462, 1.0855076313018799, 1.084348201751709, 1.0833640098571777, 1.082406759262085, 1.0814733505249023, 1.080566167831421, 1.0796840190887451, 1.078829288482666, 1.077603816986084, 1.0768029689788818, 1.0759057998657227, 1.0751688480377197, 1.0744667053222656, 1.0738027095794678, 1.0731806755065918, 1.072542667388916, 1.0720107555389404, 1.0715336799621582, 1.0711123943328857, 1.0707497596740723, 1.070448875427246, 1.070211410522461, 1.0700383186340332, 1.0699305534362793, 1.0701014995574951, 1.0701758861541748, 1.0702509880065918, 1.0703797340393066, 1.0705585479736328, 1.070781946182251, 1.0710442066192627, 1.0710909366607666, 1.0714166164398193, 1.071768045425415, 1.0721397399902344, 1.072528600692749, 1.0729310512542725, 1.0733437538146973, 1.073765754699707, 1.0741932392120361, 1.07462477684021, 1.075059413909912, 1.0754492282867432, 1.0758891105651855, 1.0758938789367676, 1.0765058994293213, 1.0769426822662354, 1.0776357650756836, 1.0780766010284424, 1.0785174369812012, 1.07895827293396, 1.0793979167938232, 1.0798132419586182, 1.0802550315856934, 1.0805821418762207, 1.081139326095581, 1.0815770626068115, 1.0820136070251465, 1.0824518203735352, 1.0828897953033447, 1.083327293395996, 1.0846636295318604, 1.085099697113037, 1.0855350494384766, 1.0859706401824951, 1.0864050388336182, 1.0871257781982422, 1.0875613689422607, 1.0879950523376465, 1.0883533954620361, 1.0887861251831055, 1.0892155170440674, 1.0894875526428223, 1.0899081230163574, 1.0903244018554688, 1.0907351970672607, 1.0913028717041016, 1.0917024612426758, 1.0921072959899902, 1.0924947261810303, 1.0928750038146973, 1.093226671218872, 1.093595027923584, 1.0939545631408691, 1.0943057537078857, 1.0946476459503174, 1.0947926044464111, 1.0949153900146484, 1.0952281951904297, 1.0955312252044678, 1.0960330963134766, 1.096315860748291, 1.0965890884399414, 1.0968503952026367, 1.0972988605499268, 1.0975315570831299, 1.0977511405944824, 1.097959280014038, 1.0981559753417969, 1.0983383655548096, 1.098522663116455, 1.0986816883087158, 1.0988271236419678, 1.0992546081542969, 1.099374771118164, 1.0994820594787598, 1.0995750427246094, 1.0991158485412598, 1.09918212890625, 1.0992343425750732, 1.0992722511291504, 1.0992965698242188, 1.0993070602416992, 1.099303960800171, 1.099287986755371, 1.0992588996887207, 1.0992193222045898, 1.0989160537719727, 1.0980682373046875, 1.0979862213134766, 1.0978896617889404, 1.0977826118469238, 1.0977675914764404, 1.0976195335388184, 1.0974740982055664, 1.097318172454834, 1.0970184803009033, 1.0968430042266846, 1.0966570377349854, 1.0964617729187012, 1.0962576866149902, 1.0960447788238525, 1.095822811126709, 1.0955932140350342, 1.09535813331604, 1.0951147079467773, 1.0948646068572998, 1.0946099758148193, 1.0943493843078613, 1.094083547592163, 1.0938119888305664, 1.0934484004974365, 1.0931696891784668, 1.0928857326507568, 1.0925986766815186, 1.0923080444335938, 1.0920155048370361, 1.091719627380371, 1.091421365737915, 1.0911219120025635, 1.0908188819885254, 1.0907526016235352, 1.0904500484466553, 1.0904040336608887, 1.0901002883911133, 1.0897157192230225, 1.0894107818603516, 1.0891048908233643, 1.0887997150421143, 1.0889167785644531, 1.0886170864105225, 1.0883209705352783, 1.0880260467529297, 1.087733268737793, 1.087444543838501, 1.0871586799621582, 1.0868773460388184, 1.0865991115570068, 1.0863251686096191, 1.0860552787780762, 1.085789680480957, 1.0855302810668945, 1.0852758884429932, 1.0850245952606201, 1.0847795009613037, 1.0845413208007812, 1.0843088626861572, 1.0840816497802734, 1.083862543106079, 1.0827362537384033, 1.0825450420379639, 1.0822737216949463, 1.0820937156677246, 1.0819227695465088, 1.081758737564087, 1.0816011428833008, 1.081451416015625, 1.0813076496124268, 1.0811734199523926, 1.081045150756836, 1.080925464630127, 1.0808124542236328, 1.0807075500488281, 1.0806119441986084, 1.0805230140686035, 1.0804433822631836, 1.0798518657684326, 1.079789161682129, 1.079735279083252, 1.0796902179718018, 1.0796549320220947, 1.0795261859893799, 1.07920241355896, 1.079160451889038, 1.0791633129119873, 1.0791757106781006, 1.079197645187378, 1.0792298316955566, 1.0792720317840576, 1.0793251991271973, 1.079390048980713, 1.079465389251709, 1.0795516967773438, 1.0796186923980713, 1.0796852111816406, 1.0798063278198242, 1.079939365386963, 1.0800857543945312, 1.0811996459960938, 1.081369161605835, 1.0814533233642578, 1.0804274082183838, 1.0806522369384766, 1.0808873176574707, 1.081134557723999, 1.081395149230957, 1.0816686153411865, 1.0819544792175293, 1.0821750164031982, 1.082484483718872, 1.0824224948883057, 1.082608938217163, 1.0829532146453857, 1.0833098888397217], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02241041511297226, 0.020742639899253845, -0.00606698589399457), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.029304850846529007, 0.018352452665567398, 0.003385029034689069), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.030798055231571198, 0.008497186005115509, -0.0006579019245691597), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.032968759536743164, 0.004784560762345791, 0.008699997328221798), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.027723925188183784, 0.025572510436177254, -0.0041161044500768185), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.024464042857289314, 0.019537553191184998, 0.002597457030788064), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02095935493707657, 0.018338926136493683, 0.0007950636208988726), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.034333597868680954, 0.003065464086830616, 0.020666182041168213), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.020540276542305946, 0.013097104616463184, 0.000697761308401823), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.1090039536356926, -0.03115568496286869, 0.002975453156977892), (-0.10390564054250717, -0.031830377876758575, 0.012292645871639252)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=2, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3645485639572144, 2.4996795654296875, 23.118173599243164), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.03709696978330612, 4.969715118408203, 23.051193237304688), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4280229806900024, 7.376183986663818, 23.04302978515625), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.215043544769287, 2.5153615474700928, 23.0450439453125), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.7947659492492676, 4.9640045166015625, 23.055158615112305), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3773106336593628, 7.398946762084961, 23.06746482849121), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.999039649963379, 2.5160531997680664, 23.042985916137695), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.609366416931152, 4.954651832580566, 23.069629669189453), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.181629180908203, 7.363102436065674, 23.035812377929688), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.2765750885009766, 2.2861108779907227, 25.10274314880371), (0.8119186162948608, 1.4286634922027588, 25.231380462646484)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.040778398513794, energy_trajectory=[1.2259902954101562, 1.2169899940490723, 1.2104723453521729, 1.203991413116455, 1.1976497173309326, 1.1913442611694336, 1.1850783824920654, 1.1789121627807617, 1.1726388931274414, 1.1663730144500732, 1.1602857112884521, 1.1541848182678223, 1.1481297016143799, 1.1421077251434326, 1.1361467838287354, 1.1302399635314941, 1.124384880065918, 1.1187267303466797, 1.1129817962646484, 1.107391357421875, 1.1020526885986328, 1.0967519283294678, 1.0918638706207275, 1.0871779918670654, 1.082686424255371, 1.0783703327178955, 1.0742244720458984, 1.070237636566162, 1.066401720046997, 1.0625391006469727, 1.0589818954467773, 1.0555739402770996, 1.0522749423980713, 1.0490927696228027, 1.0460262298583984, 1.0430703163146973, 1.0409085750579834, 1.0380358695983887, 1.0353994369506836, 1.0328588485717773, 1.0311334133148193, 1.0287866592407227, 1.0265305042266846, 1.024364709854126, 1.0221092700958252, 1.020113468170166, 1.0182042121887207, 1.0163755416870117, 1.0146279335021973, 1.0129616260528564, 1.0113732814788818, 1.009859561920166, 1.0084218978881836, 1.0070562362670898, 1.0058152675628662, 1.0045852661132812, 1.0034215450286865, 1.0023193359375, 1.001279592514038, 1.0002987384796143, 0.999373733997345, 0.9985029101371765, 0.9979450106620789, 0.9971786141395569, 0.996460497379303, 0.9957910180091858, 0.9951679110527039, 0.9945804476737976, 0.9940478205680847, 0.9935609698295593, 0.9931634068489075, 0.992760956287384, 0.9924034476280212, 0.992027223110199, 0.9917574524879456, 0.9915322661399841, 0.9913503527641296, 0.9912105202674866, 0.9911109805107117, 0.9910520911216736, 0.9913168549537659, 0.991325318813324, 0.9913634657859802, 0.9914277195930481, 0.9915115237236023, 0.9916909337043762, 0.9918761849403381, 0.9920024275779724, 0.9921358227729797, 0.9922755360603333, 0.992421567440033, 0.9922962784767151, 0.9924494624137878, 0.992607057094574, 0.9927683472633362, 0.9929340481758118, 0.9931071400642395, 0.9932877421379089, 0.9934766888618469, 0.9936768412590027, 0.9938949942588806, 0.9941745400428772, 0.9944140315055847, 0.9946691393852234, 0.9949391484260559, 0.995227038860321, 0.9955294728279114, 0.9958500266075134, 0.9961844086647034, 0.9965353608131409, 0.9969016909599304, 0.9972808957099915, 0.9976744055747986, 0.9980821013450623, 0.9985025525093079, 0.9989362359046936, 0.9993255734443665, 0.9997840523719788, 1.0002539157867432, 1.000734806060791, 1.0010051727294922, 1.0015034675598145, 1.0020136833190918, 1.0025296211242676, 1.0030584335327148, 1.0035953521728516, 1.004141092300415, 1.0046963691711426, 1.0052151679992676, 1.005784511566162, 1.006115436553955, 1.0066969394683838, 1.0072858333587646, 1.0078792572021484, 1.0084939002990723, 1.0090982913970947, 1.0097084045410156, 1.0103230476379395, 1.0109436511993408, 1.0115692615509033, 1.0120904445648193, 1.0128297805786133, 1.013277530670166, 1.013908863067627, 1.0145413875579834, 1.0151102542877197, 1.0157454013824463, 1.0163822174072266, 1.0172011852264404, 1.017836332321167, 1.0184235572814941, 1.0190558433532715, 1.0196890830993652, 1.0203211307525635, 1.0209505558013916, 1.021585464477539, 1.0222101211547852, 1.0227935314178467, 1.0234134197235107, 1.0240321159362793, 1.0246455669403076, 1.0252554416656494, 1.0258605480194092, 1.026482105255127, 1.0270805358886719, 1.027674913406372, 1.028264045715332, 1.0288474559783936, 1.0294251441955566, 1.0299961566925049, 1.0305628776550293, 1.0310494899749756, 1.0316026210784912, 1.0321478843688965, 1.0326886177062988, 1.033478021621704, 1.0340018272399902, 1.0345194339752197, 1.0349304676055908, 1.0352613925933838, 1.0357542037963867, 1.0365993976593018, 1.0370879173278809, 1.0376214981079102, 1.0380923748016357, 1.0384879112243652, 1.038938283920288, 1.039377212524414, 1.0396134853363037, 1.0400347709655762, 1.0404462814331055, 1.040848731994629, 1.0412404537200928, 1.0416224002838135, 1.0419948101043701, 1.0423216819763184, 1.0426692962646484, 1.0430083274841309, 1.0433342456817627, 1.0436503887176514, 1.0439553260803223, 1.044166088104248, 1.0444490909576416, 1.04471755027771, 1.0449743270874023, 1.0452189445495605, 1.045452356338501, 1.04567289352417, 1.0458812713623047, 1.0460765361785889, 1.046257734298706, 1.0463175773620605, 1.0464708805084229, 1.046612024307251, 1.0467407703399658, 1.0468547344207764, 1.046954870223999, 1.047041416168213, 1.047114372253418, 1.0471668243408203, 1.047084093093872, 1.0471153259277344, 1.0468478202819824, 1.046844720840454, 1.0468297004699707, 1.0466904640197754, 1.0466513633728027, 1.046602487564087, 1.0465121269226074, 1.0464422702789307, 1.0463621616363525, 1.0462749004364014, 1.0461792945861816, 1.0460755825042725, 1.0460731983184814, 1.0459566116333008, 1.0458357334136963, 1.0457096099853516, 1.0455803871154785, 1.0454459190368652, 1.0453062057495117, 1.0451667308807373, 1.0450236797332764, 1.0448806285858154, 1.0448601245880127, 1.0447185039520264, 1.0442943572998047, 1.0441539287567139, 1.0440154075622559, 1.0438785552978516, 1.0437426567077637, 1.0436112880706787, 1.0435500144958496, 1.0434248447418213, 1.0433037281036377, 1.0431857109069824, 1.0430679321289062, 1.0429191589355469, 1.0428094863891602, 1.0427038669586182, 1.0426015853881836, 1.0426883697509766, 1.0427563190460205, 1.0426700115203857, 1.042586326599121, 1.0425059795379639, 1.0424284934997559, 1.0426418781280518, 1.0425689220428467, 1.0414726734161377, 1.0408594608306885, 1.0407860279083252, 1.0413365364074707, 1.041275978088379, 1.0412163734436035, 1.0411033630371094, 1.040830135345459, 1.0407662391662598, 1.040705919265747, 1.040680170059204, 1.040625810623169, 1.040665864944458, 1.04002046585083, 1.0400505065917969, 1.0400044918060303, 1.0399599075317383, 1.0399179458618164, 1.039900302886963, 1.039865255355835, 1.0398318767547607, 1.0403845310211182, 1.0403509140014648, 1.0403201580047607, 1.040290355682373, 1.0403800010681152, 1.040395975112915, 1.0403709411621094, 1.0403499603271484, 1.0403528213500977, 1.040778398513794], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008024484850466251, -0.037841200828552246, 0.03956212103366852), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007713278755545616, -0.04578428342938423, -0.004790544044226408), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007158901076763868, -0.04013099893927574, 0.0022509333211928606), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010964407585561275, -0.04955612123012543, 0.0020067000295966864), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.017641467973589897, -0.045436058193445206, -0.005335851106792688), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013690322637557983, -0.047961339354515076, -0.0002558982523623854), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013181964866816998, -0.04885102063417435, 0.0038101528771221638), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013546768575906754, -0.04782477021217346, 0.004150733817368746), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.020772451534867287, -0.03757108002901077, 0.005414943210780621), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.03160141035914421, 0.07404347509145737, 0.0497734509408474), (0.053186748176813126, 0.07979325950145721, 0.1078290119767189)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=3, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.408341884613037, 2.4305880069732666, 23.093154907226562), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.003727307543158531, 4.872772693634033, 23.09088134765625), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4518606662750244, 7.295180797576904, 23.038625717163086), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.149267196655273, 2.4615182876586914, 23.073720932006836), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8235507011413574, 4.873304843902588, 23.065650939941406), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4007396697998047, 7.226474761962891, 23.060007095336914), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.168060779571533, 2.498753070831299, 22.988101959228516), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.642667293548584, 4.881018161773682, 23.055612564086914), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.242644309997559, 7.315962314605713, 23.05478286743164), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.360655784606934, 1.3995379209518433, 24.602081298828125), (4.83721923828125, 1.049124836921692, 25.351947784423828)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.1751668453216553, energy_trajectory=[2.1410207748413086, 2.115424871444702, 2.094038486480713, 2.0730695724487305, 2.052542209625244, 2.03249454498291, 2.0127975940704346, 1.9933836460113525, 1.9742438793182373, 1.9554014205932617, 1.936861276626587, 1.9185593128204346, 1.9005732536315918, 1.8830406665802002, 1.8666794300079346, 1.8507678508758545, 1.8355257511138916, 1.8208491802215576, 1.8073039054870605, 1.794520616531372, 1.7823748588562012, 1.770899772644043, 1.7600955963134766, 1.749706506729126, 1.7397921085357666, 1.7303111553192139, 1.7212326526641846, 1.7125043869018555, 1.7041330337524414, 1.696079969406128, 1.6882731914520264, 1.6808013916015625, 1.6735925674438477, 1.6666226387023926, 1.659881591796875, 1.6533536911010742, 1.6470284461975098, 1.640895128250122, 1.634941577911377, 1.629162073135376, 1.6235449314117432, 1.6180813312530518, 1.6127662658691406, 1.607590675354004, 1.6025469303131104, 1.5976293087005615, 1.5928328037261963, 1.5881469249725342, 1.583573341369629, 1.579221248626709, 1.5748546123504639, 1.5705819129943848, 1.566399097442627, 1.5622997283935547, 1.5582823753356934, 1.5543415546417236, 1.550475835800171, 1.5466790199279785, 1.5429468154907227, 1.5392792224884033, 1.5358681678771973, 1.5317909717559814, 1.528296947479248, 1.5248520374298096, 1.5214521884918213, 1.5180943012237549, 1.5147767066955566, 1.5114967823028564, 1.5082526206970215, 1.5050439834594727, 1.5018680095672607, 1.4987225532531738, 1.4956121444702148, 1.4925246238708496, 1.4894647598266602, 1.4864318370819092, 1.4834232330322266, 1.4804389476776123, 1.4774749279022217, 1.4745349884033203, 1.471618413925171, 1.4687249660491943, 1.4658501148223877, 1.4629955291748047, 1.4601631164550781, 1.4573509693145752, 1.4545609951019287, 1.4517886638641357, 1.4490385055541992, 1.4463067054748535, 1.4435961246490479, 1.4407844543457031, 1.4381160736083984, 1.4354686737060547, 1.4328410625457764, 1.4304783344268799, 1.4278595447540283, 1.425286054611206, 1.422727108001709, 1.420182466506958, 1.4176502227783203, 1.4151291847229004, 1.4126200675964355, 1.410120964050293, 1.4076323509216309, 1.405153512954712, 1.4028170108795166, 1.4003565311431885, 1.397907018661499, 1.394606113433838, 1.392270803451538, 1.389841079711914, 1.387422800064087, 1.3850150108337402, 1.3826191425323486, 1.380234956741333, 1.3780789375305176, 1.3757212162017822, 1.3733763694763184, 1.371044397354126, 1.3687241077423096, 1.3664205074310303, 1.3641307353973389, 1.3618571758270264, 1.3595986366271973, 1.3565304279327393, 1.3543024063110352, 1.351733684539795, 1.3495383262634277, 1.3473610877990723, 1.345201015472412, 1.3430585861206055, 1.3409342765808105, 1.3388285636901855, 1.3367395401000977, 1.3346683979034424, 1.3326144218444824, 1.330578327178955, 1.3285613059997559, 1.3265602588653564, 1.3245751857757568, 1.3226094245910645, 1.3206586837768555, 1.3187255859375, 1.3168084621429443, 1.3149077892303467, 1.3130245208740234, 1.311157464981079, 1.3093066215515137, 1.3074729442596436, 1.305654525756836, 1.3038525581359863, 1.3020665645599365, 1.3005125522613525, 1.298759937286377, 1.2971820831298828, 1.2954645156860352, 1.29376220703125, 1.2920775413513184, 1.2904107570648193, 1.2887606620788574, 1.2871277332305908, 1.2855134010314941, 1.283916711807251, 1.2823379039764404, 1.2807772159576416, 1.2792353630065918, 1.2777116298675537, 1.2762064933776855, 1.274721622467041, 1.273254156112671, 1.2718064785003662, 1.2703773975372314, 1.268967866897583, 1.2675771713256836, 1.2662057876586914, 1.2648537158966064, 1.2635202407836914, 1.262206792831421, 1.2609751224517822, 1.2596991062164307, 1.2584412097930908, 1.257201910018921, 1.255981683731079, 1.2547783851623535, 1.2535934448242188, 1.2522447109222412, 1.251201868057251, 1.250070571899414, 1.248955249786377, 1.2478570938110352, 1.2467741966247559, 1.2457077503204346, 1.2446551322937012, 1.243619441986084, 1.242598056793213, 1.2415895462036133, 1.2405972480773926, 1.2396178245544434, 1.2386515140533447, 1.237699270248413, 1.2367591857910156, 1.2358331680297852, 1.2349183559417725, 1.2340164184570312, 1.2331266403198242, 1.2322473526000977, 1.2313802242279053, 1.2305240631103516, 1.2296781539916992, 1.228844165802002, 1.228020191192627, 1.2272059917449951, 1.2264022827148438, 1.2256081104278564, 1.2248234748840332, 1.224048376083374, 1.2232823371887207, 1.2225253582000732, 1.2217774391174316, 1.2210538387298584, 1.2203223705291748, 1.2195987701416016, 1.2188835144042969, 1.2181758880615234, 1.217475175857544, 1.2167818546295166, 1.216094970703125, 1.2154154777526855, 1.2147407531738281, 1.2140741348266602, 1.2134132385253906, 1.2127580642700195, 1.2120327949523926, 1.2113893032073975, 1.210752248764038, 1.2101199626922607, 1.20949387550354, 1.2088720798492432, 1.2082571983337402, 1.2076454162597656, 1.2070395946502686, 1.2064383029937744, 1.205841302871704, 1.2052481174468994, 1.2046613693237305, 1.2040774822235107, 1.203498363494873, 1.2028436660766602, 1.2022740840911865, 1.2017076015472412, 1.201146125793457, 1.2005877494812012, 1.2000336647033691, 1.1994822025299072, 1.1989350318908691, 1.1983921527862549, 1.1978509426116943, 1.1973137855529785, 1.1966657638549805, 1.1961331367492676, 1.195460319519043, 1.1949329376220703, 1.1944091320037842, 1.1938872337341309, 1.1933670043945312, 1.1928493976593018, 1.192333459854126, 1.191819429397583, 1.1913073062896729, 1.1901187896728516, 1.1896107196807861, 1.1892719268798828, 1.1887669563293457, 1.1882503032684326, 1.1877467632293701, 1.187243938446045, 1.186741828918457, 1.1862807273864746, 1.1857798099517822, 1.185279130935669, 1.1847782135009766, 1.1843037605285645, 1.1835582256317139, 1.1830577850341797, 1.1825573444366455, 1.1820552349090576, 1.1815533638000488, 1.1810503005981445, 1.180546760559082, 1.1800427436828613, 1.1795008182525635, 1.1788296699523926, 1.1783270835876465, 1.1778242588043213, 1.1773200035095215, 1.176814317703247, 1.1761808395385742, 1.1756742000579834, 1.1751668453216553], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0066756573505699635, -0.0026084340643137693, -0.0051847524009644985), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0066029648296535015, -0.0043725850991904736, -0.0008732012938708067), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009135041385889053, -0.003921466879546642, -0.006080619525164366), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009741712361574173, -0.010623135603964329, 0.011081891134381294), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006898345425724983, -0.0018951143138110638, -0.005678983870893717), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01110929623246193, 0.010696407407522202, 0.017781613394618034), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.018860269337892532, -0.008368030190467834, -0.00012244738172739744), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0067509980872273445, -0.00276280683465302, -0.0011246303329244256), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010910357348620892, -0.0007967471028678119, -0.003221568651497364), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.07358814030885696, -0.029359320178627968, 0.05088278651237488), (-0.16880638897418976, -0.049079738557338715, -0.02891426533460617)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=4, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.384839653968811, 2.429020881652832, 23.053422927856445), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.033359676599502563, 4.893969535827637, 23.052507400512695), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4266376495361328, 7.335279941558838, 23.07680892944336), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.225818634033203, 2.4300930500030518, 23.048250198364258), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.796229839324951, 4.883062839508057, 23.177581787109375), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.384817361831665, 7.349284648895264, 23.04863739013672), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.036680698394775, 2.450462579727173, 23.072200775146484), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.64606237411499, 4.894399166107178, 23.045949935913086), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.228234767913818, 7.35084342956543, 23.044654846191406), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (2.8644468784332275, 4.770508289337158, 25.173065185546875), (1.947073221206665, 4.926604270935059, 25.483875274658203)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9981716275215149, energy_trajectory=[1.1575982570648193, 1.151381254196167, 1.145721435546875, 1.1402015686035156, 1.1348347663879395, 1.1295981407165527, 1.1244909763336182, 1.119269609451294, 1.114415168762207, 1.1096928119659424, 1.1053075790405273, 1.1008450984954834, 1.096519947052002, 1.0923330783843994, 1.088287115097046, 1.0844035148620605, 1.0806457996368408, 1.0770385265350342, 1.0735843181610107, 1.0703582763671875, 1.067230224609375, 1.0642750263214111, 1.0615017414093018, 1.0590827465057373, 1.0569734573364258, 1.054924488067627, 1.0533208847045898, 1.051924467086792, 1.0507071018218994, 1.049647569656372, 1.0487260818481445, 1.0479052066802979, 1.0472068786621094, 1.0465953350067139, 1.046058177947998, 1.0455827713012695, 1.045156717300415, 1.0447731018066406, 1.044421911239624, 1.0440959930419922, 1.0437893867492676, 1.0434966087341309, 1.0432121753692627, 1.0427954196929932, 1.0425198078155518, 1.0422427654266357, 1.041377305984497, 1.0411899089813232, 1.040879487991333, 1.040560245513916, 1.0403895378112793, 1.0400540828704834, 1.0397069454193115, 1.0393500328063965, 1.0389819145202637, 1.0386040210723877, 1.0382215976715088, 1.0378305912017822, 1.0374338626861572, 1.0370337963104248, 1.0366315841674805, 1.0362277030944824, 1.03582763671875, 1.0354275703430176, 1.0350329875946045, 1.0346403121948242, 1.0342535972595215, 1.0338706970214844, 1.0334930419921875, 1.0331218242645264, 1.032754898071289, 1.0323927402496338, 1.0316081047058105, 1.0312492847442627, 1.030895709991455, 1.0305757522583008, 1.0302295684814453, 1.0298871994018555, 1.0295486450195312, 1.0292143821716309, 1.0288827419281006, 1.0285556316375732, 1.0282304286956787, 1.0279085636138916, 1.0275905132293701, 1.0272765159606934, 1.0269646644592285, 1.026655912399292, 1.0253548622131348, 1.0249669551849365, 1.0246703624725342, 1.024376630783081, 1.0240871906280518, 1.023801326751709, 1.0235192775726318, 1.0232408046722412, 1.0226056575775146, 1.022334337234497, 1.0220651626586914, 1.0218000411987305, 1.021538257598877, 1.0212786197662354, 1.0210232734680176, 1.0207698345184326, 1.0205183029174805, 1.0202703475952148, 1.0200247764587402, 1.0197803974151611, 1.0195376873016357, 1.0192978382110596, 1.0190861225128174, 1.0188515186309814, 1.0186169147491455, 1.0183820724487305, 1.0181500911712646, 1.017918348312378, 1.0176870822906494, 1.0174572467803955, 1.0172276496887207, 1.0169978141784668, 1.0167701244354248, 1.0165414810180664, 1.0163121223449707, 1.0160844326019287, 1.015855073928833, 1.0156261920928955, 1.0153825283050537, 1.015153169631958, 1.0149240493774414, 1.014458179473877, 1.0142261981964111, 1.0139923095703125, 1.013728141784668, 1.013493537902832, 1.0132591724395752, 1.0130250453948975, 1.0127909183502197, 1.0125560760498047, 1.012321949005127, 1.0120875835418701, 1.011855125427246, 1.011622428894043, 1.0113906860351562, 1.0111606121063232, 1.0109307765960693, 1.0107026100158691, 1.0104763507843018, 1.0102896690368652, 1.0100655555725098, 1.009843349456787, 1.0096235275268555, 1.009404182434082, 1.0091869831085205, 1.0089709758758545, 1.0089027881622314, 1.0086920261383057, 1.0084829330444336, 1.0082759857177734, 1.0080716609954834, 1.007868766784668, 1.0076675415039062, 1.0074682235717773, 1.0072710514068604, 1.0070765018463135, 1.0068824291229248, 1.0066909790039062, 1.006502628326416, 1.0063161849975586, 1.0060696601867676, 1.005887508392334, 1.005706548690796, 1.0055301189422607, 1.005354881286621, 1.0051825046539307, 1.0050125122070312, 1.0048465728759766, 1.004683256149292, 1.0045247077941895, 1.0043666362762451, 1.0042133331298828, 1.0040631294250488, 1.003915786743164, 1.0037727355957031, 1.0036325454711914, 1.003495216369629, 1.0033621788024902, 1.0032329559326172, 1.0031061172485352, 1.0029830932617188, 1.0028636455535889, 1.0027313232421875, 1.0026206970214844, 1.002511739730835, 1.0024051666259766, 1.0023019313812256, 1.0022015571594238, 1.0021042823791504, 1.0020103454589844, 1.0019195079803467, 1.0018324851989746, 1.0017476081848145, 1.0016651153564453, 1.001586675643921, 1.0015099048614502, 1.0014371871948242, 1.0013654232025146, 1.0014662742614746, 1.001399040222168, 1.0013353824615479, 1.0011930465698242, 1.0011343955993652, 1.000925064086914, 1.0008678436279297, 1.0008113384246826, 1.0007567405700684, 1.0007011890411377, 1.0006484985351562, 1.0005953311920166, 1.0005440711975098, 1.0004923343658447, 1.000441312789917, 1.0003905296325684, 1.000040054321289, 0.9999889731407166, 0.9999392628669739, 0.9998891949653625, 0.9998403191566467, 0.999790608882904, 0.9997426867485046, 0.9996964335441589, 0.9996502995491028, 0.9996053576469421, 0.9995617270469666, 0.9995883107185364, 0.999546229839325, 0.9995066523551941, 0.9994686245918274, 0.999433696269989, 0.9993999600410461, 0.9982110857963562, 0.998176634311676, 0.9981440901756287, 0.9981165528297424, 0.9980893731117249, 0.9980661273002625, 0.9980447888374329, 0.9979812502861023, 0.9979674220085144, 0.9979527592658997, 0.9979422688484192, 0.997913658618927, 0.9979729056358337, 0.9979645609855652, 0.9979581236839294, 0.9979531168937683, 0.9979497790336609, 0.9979469180107117, 0.9979454874992371, 0.9979435801506042, 0.9979446530342102, 0.9979427456855774, 0.9979432225227356, 0.9979427456855774, 0.9979420304298401, 0.9979415535926819, 0.9979392886161804, 0.9979376196861267, 0.9979367852210999, 0.9979317784309387, 0.9979284405708313, 0.9979240298271179, 0.9979193806648254, 0.9979509711265564, 0.9979463219642639, 0.9979391694068909, 0.9979336857795715, 0.9979262948036194, 0.9979191422462463, 0.9979113936424255, 0.9979050755500793, 0.9978973269462585, 0.9978911280632019, 0.9978849291801453, 0.9978792071342468, 0.9978918433189392, 0.9978876709938049, 0.9980241656303406, 0.9980226159095764, 0.9980234503746033, 0.9980265498161316, 0.9980300068855286, 0.9980369210243225, 0.9980435967445374, 0.9980527758598328, 0.9980667233467102, 0.9980818629264832, 0.9980997443199158, 0.9981208443641663, 0.9981443285942078, 0.9981716275215149], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008603515103459358, -0.0008318343316204846, -0.01414051465690136), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02172733098268509, -0.005576832219958305, -0.01038102712482214), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007064470089972019, -0.007723135408014059, -0.019945360720157623), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004949132911860943, -0.003628040896728635, -0.014559214934706688), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.020996056497097015, -0.012157442979514599, -0.07401283830404282), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01714293472468853, -0.02319292537868023, -0.00330492970533669), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006741926074028015, -0.009162165224552155, -0.018084121868014336), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0016943441005423665, -0.0057547506876289845, -0.009256592951714993), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005660402122884989, -0.020789045840501785, 0.0006212074658833444), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03374238684773445, 0.04861903935670853, -0.012004350312054157), (0.032716114073991776, -0.004274898208677769, 0.002444935729727149)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=5, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4137513637542725, 2.476072311401367, 23.05474090576172), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.020491760224103928, 4.871694564819336, 23.037065505981445), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3884133100509644, 7.371949195861816, 23.104515075683594), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.269016265869141, 2.518340587615967, 23.01870346069336), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.844271659851074, 4.903824329376221, 23.06787872314453), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4932492971420288, 7.346771717071533, 23.026947021484375), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.076091289520264, 2.4650628566741943, 23.076662063598633), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.663188934326172, 4.904170036315918, 23.06710433959961), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.255949020385742, 7.347731113433838, 23.06642723083496), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (3.7026758193969727, 0.32945704460144043, 24.928821563720703), (3.220150947570801, -0.18603147566318512, 25.605314254760742)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.200179100036621, energy_trajectory=[2.1126885414123535, 2.0984792709350586, 2.0861496925354004, 2.0745487213134766, 2.063727855682373, 2.0540530681610107, 2.0451276302337646, 2.0372655391693115, 2.029526472091675, 2.022904634475708, 2.015876531600952, 2.0091381072998047, 2.0026423931121826, 1.9963459968566895, 1.9902172088623047, 1.9842307567596436, 1.9783635139465332, 1.9724845886230469, 1.9668033123016357, 1.9611961841583252, 1.955655813217163, 1.9501729011535645, 1.9449124336242676, 1.9394829273223877, 1.93414306640625, 1.9288532733917236, 1.9236140251159668, 1.9184250831604004, 1.9132826328277588, 1.9081084728240967, 1.9030647277832031, 1.8980674743652344, 1.893115758895874, 1.8882076740264893, 1.8835630416870117, 1.878737449645996, 1.8739516735076904, 1.8692011833190918, 1.8642914295196533, 1.8596093654632568, 1.8549587726593018, 1.8503391742706299, 1.8457505702972412, 1.841191291809082, 1.8366601467132568, 1.832157850265503, 1.8276824951171875, 1.8232331275939941, 1.8187568187713623, 1.814361810684204, 1.8099896907806396, 1.8056411743164062, 1.801314353942871, 1.797010898590088, 1.792726755142212, 1.7884628772735596, 1.7842211723327637, 1.7799968719482422, 1.775789499282837, 1.7715976238250732, 1.7674226760864258, 1.7632639408111572, 1.7591195106506348, 1.754988193511963, 1.7508697509765625, 1.746706247329712, 1.742654800415039, 1.7386653423309326, 1.7345943450927734, 1.7305359840393066, 1.7264885902404785, 1.722660779953003, 1.7186379432678223, 1.7146248817443848, 1.7106208801269531, 1.7066278457641602, 1.7026431560516357, 1.698667049407959, 1.694702386856079, 1.6907460689544678, 1.6868014335632324, 1.682865858078003, 1.678941011428833, 1.6747736930847168, 1.6708714962005615, 1.6669824123382568, 1.6631057262420654, 1.659200668334961, 1.6553497314453125, 1.6515133380889893, 1.6476905345916748, 1.6438844203948975, 1.64009428024292, 1.636322021484375, 1.6325669288635254, 1.6288294792175293, 1.625110387802124, 1.621412992477417, 1.6177353858947754, 1.6140785217285156, 1.6104440689086914, 1.606830358505249, 1.6032373905181885, 1.5995821952819824, 1.596036672592163, 1.5925137996673584, 1.5890376567840576, 1.5857386589050293, 1.5822844505310059, 1.578852891921997, 1.5754423141479492, 1.5720536708831787, 1.5686872005462646, 1.5653400421142578, 1.562013864517212, 1.5587077140808105, 1.555422306060791, 1.5521559715270996, 1.5489072799682617, 1.5456759929656982, 1.5424649715423584, 1.5392699241638184, 1.536090612411499, 1.5329298973083496, 1.529719352722168, 1.5265867710113525, 1.5234696865081787, 1.5203680992126465, 1.5172803401947021, 1.5142078399658203, 1.5111496448516846, 1.5081055164337158, 1.5050749778747559, 1.502060890197754, 1.4990599155426025, 1.4960741996765137, 1.4931020736694336, 1.4901454448699951, 1.4872050285339355, 1.4842796325683594, 1.4813709259033203, 1.478325605392456, 1.4754514694213867, 1.4725940227508545, 1.4697544574737549, 1.4669344425201416, 1.4641318321228027, 1.4613490104675293, 1.458585262298584, 1.455841064453125, 1.4531171321868896, 1.4504122734069824, 1.447443962097168, 1.4443020820617676, 1.4416561126708984, 1.4389331340789795, 1.436429500579834, 1.4338436126708984, 1.431276559829712, 1.4287304878234863, 1.4262030124664307, 1.4236946105957031, 1.4213714599609375, 1.4188997745513916, 1.4164447784423828, 1.4140074253082275, 1.4114444255828857, 1.4089646339416504, 1.4065771102905273, 1.4042036533355713, 1.4020617008209229, 1.3997185230255127, 1.397386074066162, 1.395071029663086, 1.392775058746338, 1.3905000686645508, 1.3882434368133545, 1.3859288692474365, 1.3837082386016846, 1.3815064430236816, 1.3793203830718994, 1.377150297164917, 1.3749966621398926, 1.3729615211486816, 1.3708367347717285, 1.3687269687652588, 1.3666322231292725, 1.3645522594451904, 1.3624863624572754, 1.36043381690979, 1.3583941459655762, 1.356370210647583, 1.3543586730957031, 1.3523612022399902, 1.350377082824707, 1.348407506942749, 1.3461284637451172, 1.344189167022705, 1.3422625064849854, 1.340350866317749, 1.3384535312652588, 1.3365700244903564, 1.3349056243896484, 1.3332030773162842, 1.3313450813293457, 1.3295679092407227, 1.3277578353881836, 1.325963020324707, 1.3244202136993408, 1.322706699371338, 1.320960283279419, 1.3192267417907715, 1.3175082206726074, 1.315803050994873, 1.3141133785247803, 1.3124370574951172, 1.3107750415802002, 1.3091261386871338, 1.3074910640716553, 1.3061609268188477, 1.3045530319213867, 1.302957534790039, 1.3013744354248047, 1.2998042106628418, 1.298245906829834, 1.296699047088623, 1.2951650619506836, 1.2936413288116455, 1.292128086090088, 1.2906267642974854, 1.289135217666626, 1.287653923034668, 1.2861826419830322, 1.2847213745117188, 1.283268690109253, 1.2819256782531738, 1.2804913520812988, 1.2790653705596924, 1.2776482105255127, 1.2762396335601807, 1.2748386859893799, 1.2734456062316895, 1.2720601558685303, 1.2706823348999023, 1.2693114280700684, 1.2679481506347656, 1.266592264175415, 1.2643556594848633, 1.2630071640014648, 1.2615225315093994, 1.2601847648620605, 1.2588529586791992, 1.257526159286499, 1.256206750869751, 1.2548918724060059, 1.25358247756958, 1.2521576881408691, 1.2506754398345947, 1.2493810653686523, 1.248091697692871, 1.2468063831329346, 1.2455270290374756, 1.2442984580993652, 1.2430274486541748, 1.2417597770690918, 1.2404963970184326, 1.2392375469207764, 1.2379827499389648, 1.2367310523986816, 1.2354841232299805, 1.2342398166656494, 1.2330000400543213, 1.2317626476287842, 1.2305290699005127, 1.2292993068695068, 1.2280733585357666, 1.226850986480713, 1.2256319522857666, 1.2244162559509277, 1.223205327987671, 1.2219979763031006, 1.2210590839385986, 1.219860553741455, 1.2186670303344727, 1.2174773216247559, 1.2162916660308838, 1.215111494064331, 1.213935375213623, 1.2127645015716553, 1.2115983963012695, 1.2103288173675537, 1.2092323303222656, 1.2080802917480469, 1.2069334983825684, 1.2057926654815674, 1.204658031463623, 1.2035298347473145, 1.2024071216583252, 1.2012898921966553, 1.200179100036621], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010298505425453186, 0.002957719611003995, -0.010299976915121078), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006125442683696747, 0.03379574045538902, 0.014482417143881321), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.04035123810172081, -0.005884500686079264, 0.06624597311019897), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006424681283533573, -0.015670157968997955, 0.007784664165228605), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.000441154174041003, 0.015240334905683994, -0.0053372494876384735), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04795286804437637, 0.006955360062420368, 0.025476399809122086), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0008194757392629981, 0.00017566379392519593, -0.005295446142554283), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00912356935441494, 0.013356837444007397, -0.006079850252717733), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004426158033311367, 0.008942299522459507, -0.0046271104365587234), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.20703426003456116, 0.02596782147884369, 0.09212487190961838), (-0.0765475183725357, -0.18334434926509857, 0.02443617396056652)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=6, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3853144645690918, 2.3661181926727295, 23.06640625), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.08641082048416138, 4.83477258682251, 23.120956420898438), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4437546730041504, 7.293863296508789, 23.06131362915039), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.19586181640625, 2.403163433074951, 23.068559646606445), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8411552906036377, 4.87506628036499, 23.01871109008789), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3793154954910278, 7.292544364929199, 23.060848236083984), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.969665050506592, 2.3639185428619385, 23.02873992919922), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.590244293212891, 4.853798866271973, 23.07250213623047), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.196736812591553, 7.2909064292907715, 23.082862854003906), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (0.5220580101013184, 4.040060520172119, 24.913066864013672), (-0.22279684245586395, 3.4629149436950684, 25.197246551513672)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.1303510665893555, energy_trajectory=[1.7511882781982422, 1.7463009357452393, 1.7396469116210938, 1.7331631183624268, 1.726806879043579, 1.7205495834350586, 1.7141783237457275, 1.708085060119629, 1.7022311687469482, 1.696258306503296, 1.6903364658355713, 1.6844594478607178, 1.6785566806793213, 1.6727635860443115, 1.6668429374694824, 1.661121129989624, 1.6554272174835205, 1.6497619152069092, 1.6441199779510498, 1.6385014057159424, 1.6329045295715332, 1.6273283958435059, 1.6217715740203857, 1.6162359714508057, 1.6107206344604492, 1.605226755142212, 1.5997562408447266, 1.594294786453247, 1.5888683795928955, 1.5834686756134033, 1.5782756805419922, 1.572899341583252, 1.5675857067108154, 1.5623023509979248, 1.5570545196533203, 1.5519320964813232, 1.5467560291290283, 1.5413703918457031, 1.5362708568572998, 1.531209945678711, 1.5261871814727783, 1.521202564239502, 1.5162591934204102, 1.5112898349761963, 1.5064244270324707, 1.501596212387085, 1.4968085289001465, 1.4920566082000732, 1.4873464107513428, 1.4826743602752686, 1.4780387878417969, 1.4734437465667725, 1.4688866138458252, 1.464369535446167, 1.4598901271820068, 1.4554493427276611, 1.4510478973388672, 1.4466869831085205, 1.4423658847808838, 1.4380862712860107, 1.4334900379180908, 1.429290533065796, 1.4251329898834229, 1.4208276271820068, 1.4167568683624268, 1.4127278327941895, 1.4087445735931396, 1.4048066139221191, 1.4009106159210205, 1.3970615863800049, 1.3932569026947021, 1.3894972801208496, 1.3857810497283936, 1.382110834121704, 1.3784856796264648, 1.3747000694274902, 1.3711719512939453, 1.3677096366882324, 1.3645145893096924, 1.3611724376678467, 1.3578882217407227, 1.354663372039795, 1.3514950275421143, 1.348191738128662, 1.3451330661773682, 1.3421258926391602, 1.339170217514038, 1.3362884521484375, 1.333395004272461, 1.3305878639221191, 1.327826976776123, 1.3251111507415771, 1.3224403858184814, 1.3198127746582031, 1.3175594806671143, 1.315016746520996, 1.3125145435333252, 1.309800386428833, 1.3073749542236328, 1.3049874305725098, 1.3026392459869385, 1.3004412651062012, 1.2981653213500977, 1.295924425125122, 1.2937180995941162, 1.2915446758270264, 1.2894046306610107, 1.287297010421753, 1.2852201461791992, 1.2831757068634033, 1.282114028930664, 1.2801313400268555, 1.2781813144683838, 1.2762610912322998, 1.274367332458496, 1.2725019454956055, 1.2706632614135742, 1.2688512802124023, 1.267063856124878, 1.2653038501739502, 1.2635695934295654, 1.2618603706359863, 1.260176181793213, 1.2585155963897705, 1.2568795680999756, 1.2552664279937744, 1.253676176071167, 1.2521097660064697, 1.2505645751953125, 1.2490410804748535, 1.2475395202636719, 1.2460591793060303, 1.2445991039276123, 1.2431597709655762, 1.24173903465271, 1.2403380870819092, 1.2389566898345947, 1.2375743389129639, 1.2362291812896729, 1.2349023818969727, 1.233750820159912, 1.2325189113616943, 1.2312407493591309, 1.2299787998199463, 1.2287328243255615, 1.2275023460388184, 1.2262866497039795, 1.2250862121582031, 1.2239649295806885, 1.2227940559387207, 1.2218317985534668, 1.220691442489624, 1.21956205368042, 1.2184474468231201, 1.2173442840576172, 1.2162537574768066, 1.2151744365692139, 1.214106559753418, 1.2130508422851562, 1.2120063304901123, 1.210794448852539, 1.2099366188049316, 1.20892333984375, 1.2077622413635254, 1.2067687511444092, 1.205784797668457, 1.2048120498657227, 1.2036948204040527, 1.2027437686920166, 1.2018024921417236, 1.200871467590332, 1.1999495029449463, 1.1990375518798828, 1.1980328559875488, 1.1971395015716553, 1.196256160736084, 1.1953814029693604, 1.1945161819458008, 1.1936595439910889, 1.1928133964538574, 1.1919748783111572, 1.1911442279815674, 1.190162181854248, 1.1893501281738281, 1.1885457038879395, 1.1877501010894775, 1.1869621276855469, 1.1861214637756348, 1.1853511333465576, 1.1845881938934326, 1.183959722518921, 1.1832120418548584, 1.182471513748169, 1.181739330291748, 1.1810126304626465, 1.1802942752838135, 1.1795814037322998, 1.1788756847381592, 1.1781766414642334, 1.1770572662353516, 1.1763718128204346, 1.1756908893585205, 1.1750168800354004, 1.1743488311767578, 1.1736857891082764, 1.172774314880371, 1.1721234321594238, 1.1714777946472168, 1.1708383560180664, 1.1700730323791504, 1.1694424152374268, 1.1688156127929688, 1.16819167137146, 1.1675755977630615, 1.1666679382324219, 1.1660594940185547, 1.1654529571533203, 1.1648521423339844, 1.1642553806304932, 1.163825273513794, 1.1632516384124756, 1.1626818180084229, 1.1621158123016357, 1.1615536212921143, 1.1608946323394775, 1.1603388786315918, 1.1594555377960205, 1.1589081287384033, 1.1583640575408936, 1.1578259468078613, 1.1572918891906738, 1.1567609310150146, 1.15635085105896, 1.155827522277832, 1.1553094387054443, 1.1547942161560059, 1.1542832851409912, 1.1537766456604004, 1.153275489807129, 1.1527280807495117, 1.1522352695465088, 1.1517469882965088, 1.151261806488037, 1.1506831645965576, 1.15020751953125, 1.1497995853424072, 1.1493310928344727, 1.148866891860962, 1.1484057903289795, 1.1479485034942627, 1.1474950313568115, 1.1470460891723633, 1.1465985774993896, 1.1461570262908936, 1.1457183361053467, 1.1452827453613281, 1.1448509693145752, 1.144423007965088, 1.1439979076385498, 1.1435778141021729, 1.1432299613952637, 1.1428186893463135, 1.1424105167388916, 1.1420056819915771, 1.1416053771972656, 1.1412084102630615, 1.1408159732818604, 1.1404259204864502, 1.1400420665740967, 1.1396610736846924, 1.1392838954925537, 1.1390516757965088, 1.1386809349060059, 1.1383154392242432, 1.1379528045654297, 1.1375949382781982, 1.137239933013916, 1.1368908882141113, 1.1365456581115723, 1.1362035274505615, 1.1358671188354492, 1.1355328559875488, 1.1352038383483887, 1.1348791122436523, 1.1345579624176025, 1.134242057800293, 1.1338720321655273, 1.1335644721984863, 1.1332614421844482, 1.1331160068511963, 1.1328139305114746, 1.1325252056121826, 1.13224196434021, 1.1319465637207031, 1.131671667098999, 1.1313984394073486, 1.1311311721801758, 1.1308670043945312, 1.1306076049804688, 1.1303510665893555], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.023010507225990295, 0.0231345035135746, 0.0036571044474840164), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006568552926182747, 0.0283561609685421, -0.03373650461435318), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0066148340702056885, 0.00785866193473339, -0.009233287535607815), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0051788389682769775, 0.005424400791525841, -0.008595910854637623), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011230207048356533, -0.000831226643640548, -0.007855694741010666), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0045206258073449135, 0.006207532715052366, -0.009967487305402756), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.020738933235406876, 0.02801518142223358, 0.010618934407830238), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005745448637753725, 0.0009600096964277327, -0.007291567511856556), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003934256732463837, 0.00802246667444706, -0.01015615463256836), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03191199526190758, -0.01452688593417406, -0.04268616810441017), (0.029624901711940765, 0.07304921746253967, 0.06579431891441345)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=7, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4216755628585815, 2.4305307865142822, 23.0642147064209), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.07498063892126083, 4.923450946807861, 23.001150131225586), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4080848693847656, 7.317809104919434, 23.068666458129883), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.1863694190979, 2.409522771835327, 23.026216506958008), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8324332237243652, 4.870328426361084, 23.08650016784668), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4135302305221558, 7.300529956817627, 23.07352638244629), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.047024726867676, 2.355375289916992, 23.10235595703125), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.618014812469482, 4.884171485900879, 23.090574264526367), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.248252868652344, 7.300156116485596, 23.066404342651367), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-1.8728704452514648, 3.3597943782806396, 24.850290298461914), (-1.0367661714553833, 3.767665386199951, 25.173364639282227)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.122415542602539, energy_trajectory=[1.6866488456726074, 1.670243740081787, 1.6595728397369385, 1.6499035358428955, 1.6407427787780762, 1.6320230960845947, 1.6233305931091309, 1.614776372909546, 1.6063926219940186, 1.598038673400879, 1.5897681713104248, 1.5815856456756592, 1.5734612941741943, 1.5654046535491943, 1.557410478591919, 1.54948091506958, 1.5408778190612793, 1.5330684185028076, 1.5253269672393799, 1.5176522731781006, 1.5100469589233398, 1.5025157928466797, 1.4950871467590332, 1.4877092838287354, 1.4804105758666992, 1.4731884002685547, 1.4661076068878174, 1.4591400623321533, 1.452458381652832, 1.4460420608520508, 1.4401359558105469, 1.4342072010040283, 1.4285006523132324, 1.4230084419250488, 1.4177155494689941, 1.412614107131958, 1.4076943397521973, 1.4029455184936523, 1.398019552230835, 1.393587350845337, 1.3892979621887207, 1.3850116729736328, 1.3809049129486084, 1.3770012855529785, 1.373220443725586, 1.3696486949920654, 1.3661177158355713, 1.3626635074615479, 1.3593108654022217, 1.3560540676116943, 1.352888822555542, 1.34981107711792, 1.3468167781829834, 1.3439016342163086, 1.3411345481872559, 1.3383662700653076, 1.3356666564941406, 1.333031415939331, 1.3304576873779297, 1.3279433250427246, 1.325484037399292, 1.323077917098999, 1.3207218647003174, 1.3184139728546143, 1.3161523342132568, 1.313934326171875, 1.311760425567627, 1.3096272945404053, 1.3075344562530518, 1.3054802417755127, 1.303462028503418, 1.3014190196990967, 1.299473762512207, 1.2975621223449707, 1.295682430267334, 1.2936346530914307, 1.2918155193328857, 1.2900261878967285, 1.2882671356201172, 1.2865371704101562, 1.284836769104004, 1.2831642627716064, 1.281519889831543, 1.279902458190918, 1.2783119678497314, 1.276592493057251, 1.275055170059204, 1.273543119430542, 1.2720541954040527, 1.2705895900726318, 1.269148349761963, 1.2677295207977295, 1.2663335800170898, 1.264958381652832, 1.2636048793792725, 1.2622718811035156, 1.2611029148101807, 1.2598066329956055, 1.258528232574463, 1.257267713546753, 1.255882740020752, 1.2546536922454834, 1.2534401416778564, 1.2522406578063965, 1.25105619430542, 1.249884843826294, 1.2487256526947021, 1.24757981300354, 1.2464454174041748, 1.2453224658966064, 1.2442100048065186, 1.2431085109710693, 1.2420177459716797, 1.2409367561340332, 1.2399241924285889, 1.2388637065887451, 1.2378129959106445, 1.2367711067199707, 1.23573899269104, 1.2347157001495361, 1.2337019443511963, 1.232696771621704, 1.2317006587982178, 1.230712890625, 1.2297353744506836, 1.2287662029266357, 1.2278056144714355, 1.2268545627593994, 1.2259116172790527, 1.2249774932861328, 1.2240517139434814, 1.2231347560882568, 1.2222261428833008, 1.2213256359100342, 1.2204320430755615, 1.2195472717285156, 1.2186686992645264, 1.2177972793579102, 1.2169342041015625, 1.2159819602966309, 1.2151315212249756, 1.2142887115478516, 1.2134511470794678, 1.2126188278198242, 1.211791753768921, 1.2109699249267578, 1.2101521492004395, 1.2093391418457031, 1.2085294723510742, 1.2077245712280273, 1.2069225311279297, 1.2061240673065186, 1.205329418182373, 1.2048885822296143, 1.2041008472442627, 1.2033159732818604, 1.20253324508667, 1.2010853290557861, 1.2003052234649658, 1.1995272636413574, 1.1987512111663818, 1.1979765892028809, 1.1972026824951172, 1.1963706016540527, 1.1958081722259521, 1.195040225982666, 1.1942718029022217, 1.1935057640075684, 1.1927390098571777, 1.1919739246368408, 1.1912095546722412, 1.1902015209197998, 1.1894447803497314, 1.1886897087097168, 1.1881113052368164, 1.1875710487365723, 1.1868350505828857, 1.186098337173462, 1.1851558685302734, 1.1844217777252197, 1.1836886405944824, 1.182781457901001, 1.1820507049560547, 1.1813218593597412, 1.1805949211120605, 1.1798686981201172, 1.1791436672210693, 1.1784207820892334, 1.177699327468872, 1.176978588104248, 1.1762604713439941, 1.1755437850952148, 1.1748294830322266, 1.174116849899292, 1.1734061241149902, 1.1726980209350586, 1.1713624000549316, 1.1706595420837402, 1.1699588298797607, 1.1692616939544678, 1.1685655117034912, 1.1678736209869385, 1.1671838760375977, 1.1664972305297852, 1.1658141613006592, 1.1651346683502197, 1.164456844329834, 1.1637823581695557, 1.163111686706543, 1.1622750759124756, 1.161611557006836, 1.1609537601470947, 1.1602981090545654, 1.1598384380340576, 1.1591906547546387, 1.1585447788238525, 1.1579041481018066, 1.157266616821289, 1.156632423400879, 1.1560025215148926, 1.1553761959075928, 1.1547527313232422, 1.1541342735290527, 1.153519868850708, 1.1529090404510498, 1.1523027420043945, 1.151867151260376, 1.1512699127197266, 1.150676965713501, 1.1500885486602783, 1.1495039463043213, 1.1489241123199463, 1.1483500003814697, 1.1477789878845215, 1.1472129821777344, 1.1466529369354248, 1.14609694480896, 1.1454029083251953, 1.1448585987091064, 1.144319772720337, 1.1437861919403076, 1.1432585716247559, 1.1427357196807861, 1.142219066619873, 1.1417076587677002, 1.141122579574585, 1.1406230926513672, 1.1401290893554688, 1.1396410465240479, 1.1391582489013672, 1.138681411743164, 1.1382105350494385, 1.1377449035644531, 1.1370823383331299, 1.136629343032837, 1.1361792087554932, 1.1357371807098389, 1.1353015899658203, 1.1348705291748047, 1.134443759918213, 1.1340229511260986, 1.13352370262146, 1.1331121921539307, 1.1327056884765625, 1.1323039531707764, 1.1318442821502686, 1.1314527988433838, 1.1313302516937256, 1.1309425830841064, 1.1305625438690186, 1.1301863193511963, 1.129814624786377, 1.1294472217559814, 1.129056692123413, 1.1287012100219727, 1.1283483505249023, 1.1279995441436768, 1.1276559829711914, 1.1272468566894531, 1.1269123554229736, 1.1265814304351807, 1.1262547969818115, 1.1258177757263184, 1.1254987716674805, 1.1251838207244873, 1.1248726844787598, 1.124565601348877, 1.1242620944976807, 1.1242327690124512, 1.1239371299743652, 1.1236457824707031, 1.1233577728271484, 1.123131275177002, 1.1228511333465576, 1.122574806213379, 1.1223032474517822, 1.1220343112945557, 1.122917652130127, 1.1226637363433838, 1.122415542602539], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.023588048294186592, -0.007490967866033316, -0.008943811058998108), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.06680965423583984, -0.058334365487098694, 0.03981281444430351), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0126961013302207, -0.017830045893788338, -0.010205982252955437), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003886330174282193, -0.006774359382688999, -0.0074400631710886955), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01836368441581726, -0.008578259497880936, -0.017892848700284958), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012295028194785118, -0.008867246098816395, -0.01571948640048504), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01889721117913723, 0.03393883630633354, -0.012357978150248528), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007364996708929539, -0.02795627899467945, -0.008322132751345634), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01666104607284069, -0.0005662475596182048, -0.012005587108433247), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0027367162983864546, 0.019251951947808266, -0.006753821857273579), (-0.06627628952264786, -0.014216374605894089, -0.016574906185269356)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=8, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3949854373931885, 2.400343656539917, 23.075164794921875), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.03163193166255951, 4.809371471405029, 23.039573669433594), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4514291286468506, 7.295886993408203, 23.042308807373047), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.213564872741699, 2.4106574058532715, 23.053382873535156), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8241324424743652, 4.82138204574585, 23.040321350097656), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3822007179260254, 7.262729644775391, 23.15199851989746), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.041064739227295, 2.405066728591919, 23.053918838500977), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.626273155212402, 4.845405101776123, 23.069623947143555), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.233478546142578, 7.294045925140381, 23.050796508789062), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.3204014301300049, 6.984720230102539, 25.132831573486328), (0.3645404577255249, 6.884201526641846, 25.335237503051758)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0269362926483154, energy_trajectory=[1.4672093391418457, 1.458953619003296, 1.4515459537506104, 1.4444432258605957, 1.4364559650421143, 1.4295458793640137, 1.4226737022399902, 1.4158318042755127, 1.4090158939361572, 1.4023375511169434, 1.3955676555633545, 1.3888981342315674, 1.38248610496521, 1.376220464706421, 1.3701303005218506, 1.3642027378082275, 1.358304738998413, 1.3526742458343506, 1.3471810817718506, 1.34181809425354, 1.3365764617919922, 1.3314545154571533, 1.326446294784546, 1.3215084075927734, 1.3170557022094727, 1.3123743534088135, 1.3074548244476318, 1.3027095794677734, 1.298323631286621, 1.2940354347229004, 1.2898468971252441, 1.2859828472137451, 1.2819628715515137, 1.277827262878418, 1.2740237712860107, 1.2703139781951904, 1.2667489051818848, 1.2632241249084473, 1.2597904205322266, 1.2564449310302734, 1.253187894821167, 1.2500154972076416, 1.2469274997711182, 1.2443273067474365, 1.2414071559906006, 1.238567590713501, 1.2357492446899414, 1.2330710887908936, 1.23046875, 1.2279419898986816, 1.2254879474639893, 1.2231059074401855, 1.2207934856414795, 1.218550205230713, 1.2163722515106201, 1.2142608165740967, 1.212212324142456, 1.2102258205413818, 1.208298683166504, 1.2064297199249268, 1.2045135498046875, 1.202754020690918, 1.201045274734497, 1.199385166168213, 1.1978213787078857, 1.1962509155273438, 1.1947247982025146, 1.1932401657104492, 1.19179368019104, 1.1903855800628662, 1.1890122890472412, 1.188159465789795, 1.1868386268615723, 1.1855473518371582, 1.1842842102050781, 1.1830475330352783, 1.1818361282348633, 1.1806488037109375, 1.179304599761963, 1.1781611442565918, 1.1770389080047607, 1.1759765148162842, 1.174891471862793, 1.173823595046997, 1.1727712154388428, 1.171506404876709, 1.1704843044281006, 1.1694762706756592, 1.1683168411254883, 1.1673338413238525, 1.1663625240325928, 1.1654012203216553, 1.1644525527954102, 1.1635119915008545, 1.1625819206237793, 1.16166090965271, 1.1607496738433838, 1.1597983837127686, 1.1589019298553467, 1.1580145359039307, 1.1573562622070312, 1.156484603881836, 1.155620813369751, 1.15476393699646, 1.153913974761963, 1.1530711650848389, 1.1522347927093506, 1.1514060497283936, 1.150583267211914, 1.1497671604156494, 1.148956537246704, 1.1481540203094482, 1.1473572254180908, 1.1465647220611572, 1.1462280750274658, 1.1454553604125977, 1.144688606262207, 1.143928050994873, 1.143172025680542, 1.1424219608306885, 1.141676425933838, 1.1409358978271484, 1.1402003765106201, 1.1389763355255127, 1.1382479667663574, 1.1375246047973633, 1.1368045806884766, 1.136087417602539, 1.1353733539581299, 1.1346614360809326, 1.1339771747589111, 1.1332693099975586, 1.1325628757476807, 1.1318585872650146, 1.1311554908752441, 1.1304543018341064, 1.1297540664672852, 1.1290550231933594, 1.1283564567565918, 1.1276602745056152, 1.126664638519287, 1.1259684562683105, 1.1252734661102295, 1.1245787143707275, 1.1238842010498047, 1.1229743957519531, 1.122283697128296, 1.121593952178955, 1.1208889484405518, 1.1202023029327393, 1.1195149421691895, 1.1188280582427979, 1.1181421279907227, 1.1174564361572266, 1.1167705059051514, 1.115919828414917, 1.1152362823486328, 1.114553451538086, 1.1135287284851074, 1.112846851348877, 1.1122565269470215, 1.1115741729736328, 1.1108925342559814, 1.110210657119751, 1.1095283031463623, 1.1088449954986572, 1.1081631183624268, 1.1074798107147217, 1.1067962646484375, 1.1061124801635742, 1.1054277420043945, 1.1047427654266357, 1.1040563583374023, 1.1033687591552734, 1.1026794910430908, 1.10198974609375, 1.10129976272583, 1.100606918334961, 1.0999150276184082, 1.0992217063903809, 1.098527193069458, 1.0978317260742188, 1.0971362590789795, 1.0963363647460938, 1.0956366062164307, 1.0949351787567139, 1.0942339897155762, 1.0935323238372803, 1.092829704284668, 1.0941991806030273, 1.09348726272583, 1.0927751064300537, 1.0920605659484863, 1.0912795066833496, 1.0905694961547852, 1.0898549556732178, 1.0891425609588623, 1.088428020477295, 1.087902307510376, 1.0871872901916504, 1.0865478515625, 1.085834264755249, 1.0851190090179443, 1.0841434001922607, 1.0834300518035889, 1.0827157497406006, 1.082005262374878, 1.0812947750091553, 1.080585241317749, 1.079878568649292, 1.0791747570037842, 1.0784070491790771, 1.0777080059051514, 1.077009677886963, 1.0763144493103027, 1.0756239891052246, 1.0749356746673584, 1.074251413345337, 1.0735697746276855, 1.072892665863037, 1.0722193717956543, 1.071549415588379, 1.0708837509155273, 1.0702226161956787, 1.0695655345916748, 1.0689122676849365, 1.0682637691497803, 1.0676190853118896, 1.0669794082641602, 1.0678167343139648, 1.0671806335449219, 1.0665473937988281, 1.0659172534942627, 1.0647857189178467, 1.0641632080078125, 1.0635440349578857, 1.0629253387451172, 1.0623090267181396, 1.0616953372955322, 1.061081886291504, 1.0604722499847412, 1.059865951538086, 1.0592608451843262, 1.0586576461791992, 1.0580577850341797, 1.057460069656372, 1.056863784790039, 1.0562691688537598, 1.055675983428955, 1.0550861358642578, 1.0544989109039307, 1.05391263961792, 1.0533289909362793, 1.052748441696167, 1.0521697998046875, 1.0515930652618408, 1.0512354373931885, 1.0506629943847656, 1.0500926971435547, 1.0495223999023438, 1.0489580631256104, 1.0484223365783691, 1.0478596687316895, 1.0472993850708008, 1.0467407703399658, 1.04618501663208, 1.0456302165985107, 1.0450770854949951, 1.0445280075073242, 1.0439796447753906, 1.0434339046478271, 1.0428900718688965, 1.042349100112915, 1.041808843612671, 1.0412721633911133, 1.0407357215881348, 1.0402023792266846, 1.0396709442138672, 1.0391407012939453, 1.0386114120483398, 1.0380842685699463, 1.0375573635101318, 1.037031650543213, 1.0365080833435059, 1.0359845161437988, 1.0352060794830322, 1.0348267555236816, 1.0343072414398193, 1.032710313796997, 1.0321745872497559, 1.0316412448883057, 1.031111717224121, 1.0305838584899902, 1.0300564765930176, 1.0295038223266602, 1.028980016708374, 1.0284874439239502, 1.027968168258667, 1.0274510383605957, 1.0269362926483154], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0016709350747987628, 0.005966354627162218, -0.018137997016310692), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009482943452894688, 0.03630376234650612, 0.009095939807593822), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.024516915902495384, -0.006587016396224499, 0.012933329679071903), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001983269350603223, 0.0005308196414262056, -0.013032815419137478), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012500986456871033, 0.016461756080389023, 0.0074350591748952866), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009364140219986439, 0.013305645436048508, -0.046706706285476685), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00547341164201498, 0.0074290139600634575, -0.013646340928971767), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0036985056940466166, 0.003281110431998968, -0.015001686289906502), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002814807463437319, 0.0009206151589751244, -0.013308505527675152), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0027465256862342358, 0.11560745537281036, -0.012711875140666962), (0.0653112530708313, 0.021130666136741638, 0.08543583005666733)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=9, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3880045413970947, 2.514005184173584, 23.040267944335938), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.0014205006882548332, 4.921685695648193, 23.052734375), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4125131368637085, 7.4057297706604, 23.155250549316406), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.2557597160339355, 2.5129363536834717, 23.036169052124023), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.822638988494873, 4.930724143981934, 23.06885528564453), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4286136627197266, 7.368716239929199, 23.04927635192871), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.054321765899658, 2.485841989517212, 23.073657989501953), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.641622543334961, 4.919057369232178, 23.052473068237305), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.212395191192627, 7.368261337280273, 23.04753303527832), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (2.7649402618408203, 0.2984941601753235, 25.142175674438477), (3.09055757522583, 1.2159678936004639, 25.281803131103516)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0367076396942139, energy_trajectory=[1.5998780727386475, 1.5917093753814697, 1.583794355392456, 1.5759353637695312, 1.5679709911346436, 1.5601980686187744, 1.552640676498413, 1.5452933311462402, 1.538144588470459, 1.5311734676361084, 1.5242183208465576, 1.5175490379333496, 1.511012315750122, 1.5045945644378662, 1.498253583908081, 1.4920520782470703, 1.4859426021575928, 1.4799230098724365, 1.4741096496582031, 1.468423843383789, 1.4626519680023193, 1.456954002380371, 1.451326608657837, 1.445770263671875, 1.4403011798858643, 1.4348845481872559, 1.4295341968536377, 1.424304485321045, 1.4192945957183838, 1.4141509532928467, 1.409168004989624, 1.4042327404022217, 1.3992886543273926, 1.3944141864776611, 1.3896093368530273, 1.384873628616333, 1.3802108764648438, 1.3756601810455322, 1.3712799549102783, 1.366830587387085, 1.3624389171600342, 1.3581340312957764, 1.3539011478424072, 1.3497388362884521, 1.345649242401123, 1.3416306972503662, 1.3376822471618652, 1.3338029384613037, 1.3299953937530518, 1.3262572288513184, 1.3225889205932617, 1.3190035820007324, 1.3154757022857666, 1.3120157718658447, 1.3086233139038086, 1.3052978515625, 1.3018226623535156, 1.2986273765563965, 1.2954978942871094, 1.2924346923828125, 1.289062261581421, 1.286125898361206, 1.283252239227295, 1.2804384231567383, 1.2776830196380615, 1.2749848365783691, 1.2723443508148193, 1.2697575092315674, 1.2672243118286133, 1.2647418975830078, 1.2623095512390137, 1.2599267959594727, 1.2575898170471191, 1.2552986145019531, 1.253049612045288, 1.2508430480957031, 1.2489919662475586, 1.2469918727874756, 1.245732069015503, 1.243638277053833, 1.2415778636932373, 1.2394630908966064, 1.237471580505371, 1.2355153560638428, 1.2334694862365723, 1.231576919555664, 1.22971510887146, 1.227881669998169, 1.2260780334472656, 1.2243013381958008, 1.2225515842437744, 1.2208290100097656, 1.2191314697265625, 1.2174592018127441, 1.215811014175415, 1.2140822410583496, 1.2124803066253662, 1.2109003067016602, 1.209341049194336, 1.2078032493591309, 1.206284523010254, 1.2047855854034424, 1.2033050060272217, 1.2018418312072754, 1.2003958225250244, 1.1989662647247314, 1.1975524425506592, 1.196152687072754, 1.1946954727172852, 1.1933252811431885, 1.1919677257537842, 1.1906249523162842, 1.1891391277313232, 1.1878235340118408, 1.1865200996398926, 1.1849009990692139, 1.183622121810913, 1.182356834411621, 1.1811060905456543, 1.1798691749572754, 1.1786448955535889, 1.1774544715881348, 1.1762561798095703, 1.1750695705413818, 1.173903465270996, 1.1727385520935059, 1.1715850830078125, 1.1704416275024414, 1.1690952777862549, 1.1680512428283691, 1.1669347286224365, 1.1658272743225098, 1.1647281646728516, 1.1636357307434082, 1.1625518798828125, 1.1614742279052734, 1.1601948738098145, 1.159123182296753, 1.1580584049224854, 1.1570005416870117, 1.155946969985962, 1.1549005508422852, 1.1538589000701904, 1.1526474952697754, 1.1516168117523193, 1.1505928039550781, 1.1495726108551025, 1.148557424545288, 1.1473028659820557, 1.1462986469268799, 1.1451263427734375, 1.1441340446472168, 1.1431479454040527, 1.1421654224395752, 1.1412689685821533, 1.1402971744537354, 1.139331579208374, 1.1384849548339844, 1.137531042098999, 1.136582851409912, 1.1356396675109863, 1.1347029209136963, 1.1337716579437256, 1.132533073425293, 1.1316139698028564, 1.130699872970581, 1.1297917366027832, 1.1288890838623047, 1.1279923915863037, 1.1271023750305176, 1.1262168884277344, 1.1253361701965332, 1.1244614124298096, 1.1235921382904053, 1.122727870941162, 1.1217231750488281, 1.1208691596984863, 1.1200203895568848, 1.1191763877868652, 1.118337631225586, 1.1175036430358887, 1.1166751384735107, 1.1158514022827148, 1.1153380870819092, 1.114525318145752, 1.1137168407440186, 1.112912893295288, 1.1121132373809814, 1.1113183498382568, 1.1105272769927979, 1.109740972518921, 1.1089591979980469, 1.1081807613372803, 1.1074068546295166, 1.1066360473632812, 1.1058681011199951, 1.1051034927368164, 1.1043426990509033, 1.103586196899414, 1.1028501987457275, 1.1020972728729248, 1.100637435913086, 1.0998561382293701, 1.0990781784057617, 1.098301887512207, 1.0975275039672852, 1.096754550933838, 1.0959827899932861, 1.0950887203216553, 1.0943212509155273, 1.0935559272766113, 1.0927917957305908, 1.0920166969299316, 1.0912554264068604, 1.0904972553253174, 1.089740514755249, 1.0889863967895508, 1.0882337093353271, 1.0874831676483154, 1.0867350101470947, 1.0859894752502441, 1.0852458477020264, 1.0845050811767578, 1.0837678909301758, 1.0830333232879639, 1.0823016166687012, 1.0815722942352295, 1.0808467864990234, 1.0801246166229248, 1.0794048309326172, 1.078688383102417, 1.0779757499694824, 1.0772662162780762, 1.0771286487579346, 1.0764050483703613, 1.0758395195007324, 1.0751264095306396, 1.074418306350708, 1.0737149715423584, 1.0730164051055908, 1.0723230838775635, 1.071634292602539, 1.0709507465362549, 1.0701186656951904, 1.0694468021392822, 1.068929672241211, 1.068267822265625, 1.0676093101501465, 1.0669548511505127, 1.066303014755249, 1.0656554698944092, 1.065011978149414, 1.0643723011016846, 1.063734769821167, 1.063101053237915, 1.0624687671661377, 1.0618395805358887, 1.0612130165100098, 1.0605900287628174, 1.0602831840515137, 1.0596647262573242, 1.0590465068817139, 1.0584287643432617, 1.0579330921173096, 1.0573184490203857, 1.0567052364349365, 1.0560927391052246, 1.0554814338684082, 1.05487060546875, 1.0542614459991455, 1.053544521331787, 1.0529367923736572, 1.0523290634155273, 1.0517220497131348, 1.0511152744293213, 1.0505096912384033, 1.04990553855896, 1.0493006706237793, 1.0486974716186523, 1.0480942726135254, 1.0476312637329102, 1.0472774505615234, 1.0466809272766113, 1.0460822582244873, 1.0454857349395752, 1.044891119003296, 1.044297456741333, 1.0437040328979492, 1.0431134700775146, 1.0425209999084473, 1.0419325828552246, 1.0413429737091064, 1.040757417678833, 1.0401723384857178, 1.0395903587341309, 1.0390093326568604, 1.0384297370910645, 1.0378539562225342, 1.0372800827026367, 1.0367076396942139], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.020875925198197365, -0.021163301542401314, 0.010253430344164371), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0021829395554959774, -0.002753595821559429, -0.012471301481127739), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015101471915841103, -0.0222095288336277, -0.053924281150102615), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03527512773871422, -0.03099675476551056, 0.020777812227606773), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004025764297693968, -0.005311308894306421, -0.012797544710338116), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01643339730799198, 0.0028375734109431505, -0.01026647724211216), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005241557955741882, -0.0015962788602337241, -0.016205549240112305), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006417820695787668, -0.004313901998102665, -0.013064917176961899), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0032038725912570953, 0.002651594113558531, -0.010931983590126038), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.03551696613430977, -0.06445364654064178, -0.033335402607917786), (-0.029968824237585068, -0.10176845639944077, 0.12054145336151123)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=10, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.290846586227417, 2.3704254627227783, 23.062623977661133), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.15240034461021423, 4.747130393981934, 23.110658645629883), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.6054298877716064, 7.260711193084717, 23.11445426940918), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.104927062988281, 2.361914873123169, 23.075801849365234), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.68933367729187, 4.813143253326416, 23.076906204223633), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3599038124084473, 7.296442985534668, 23.0133113861084), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.923954963684082, 2.3531265258789062, 23.08721351623535), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.444607734680176, 4.769482135772705, 23.018680572509766), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.092730522155762, 7.257679462432861, 23.089113235473633), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-0.9343056082725525, 5.968952178955078, 24.758136749267578), (-0.18263770639896393, 6.3955793380737305, 25.224565505981445)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0818753242492676, energy_trajectory=[1.3767650127410889, 1.364215612411499, 1.3542966842651367, 1.345109462738037, 1.336381435394287, 1.3280644416809082, 1.320012092590332, 1.3120465278625488, 1.304246187210083, 1.2966372966766357, 1.2891054153442383, 1.2819147109985352, 1.2748188972473145, 1.2676341533660889, 1.2605595588684082, 1.253591537475586, 1.2466857433319092, 1.2399170398712158, 1.2332415580749512, 1.2266621589660645, 1.2201788425445557, 1.2137911319732666, 1.2074975967407227, 1.201301097869873, 1.1951987743377686, 1.1891958713531494, 1.1832950115203857, 1.177518606185913, 1.1720633506774902, 1.1669220924377441, 1.162083625793457, 1.1575400829315186, 1.1533012390136719, 1.1493861675262451, 1.1456146240234375, 1.1422884464263916, 1.1392288208007812, 1.1360914707183838, 1.1335086822509766, 1.131242036819458, 1.1290733814239502, 1.1270849704742432, 1.12526273727417, 1.12339448928833, 1.1217756271362305, 1.1203699111938477, 1.119077444076538, 1.1178922653198242, 1.116384506225586, 1.115382194519043, 1.1144587993621826, 1.1136083602905273, 1.1128225326538086, 1.112095832824707, 1.1114208698272705, 1.1107912063598633, 1.1102633476257324, 1.109710693359375, 1.109191656112671, 1.1086997985839844, 1.1080026626586914, 1.107558250427246, 1.1071341037750244, 1.1067044734954834, 1.1063122749328613, 1.1059331893920898, 1.1055667400360107, 1.105212926864624, 1.1048669815063477, 1.1045308113098145, 1.1042025089263916, 1.1038806438446045, 1.1035645008087158, 1.1032521724700928, 1.1029436588287354, 1.1026396751403809, 1.102339744567871, 1.1018736362457275, 1.101578712463379, 1.101285696029663, 1.1009950637817383, 1.100707769393921, 1.1004226207733154, 1.0999598503112793, 1.0996768474578857, 1.0993962287902832, 1.0991172790527344, 1.0988397598266602, 1.0985634326934814, 1.0982892513275146, 1.0980167388916016, 1.0977449417114258, 1.097473382949829, 1.0970454216003418, 1.0967803001403809, 1.0965149402618408, 1.0962514877319336, 1.0959882736206055, 1.09572434425354, 1.0954632759094238, 1.0952019691467285, 1.094940423965454, 1.0946788787841797, 1.0944182872772217, 1.0941572189331055, 1.0938949584960938, 1.0931246280670166, 1.0928616523742676, 1.092423677444458, 1.0921604633331299, 1.0918967723846436, 1.091594934463501, 1.0913305282592773, 1.0910651683807373, 1.0907998085021973, 1.0905342102050781, 1.0902700424194336, 1.0900065898895264, 1.08974289894104, 1.089479684829712, 1.0892164707183838, 1.088433027267456, 1.088170051574707, 1.0879087448120117, 1.0879173278808594, 1.0876572132110596, 1.0873997211456299, 1.0871431827545166, 1.0868399143218994, 1.0865888595581055, 1.0863392353057861, 1.0860915184020996, 1.085845947265625, 1.085602045059204, 1.0853619575500488, 1.085123062133789, 1.0848872661590576, 1.0846538543701172, 1.0844218730926514, 1.0841925144195557, 1.0839660167694092, 1.0837416648864746, 1.0834362506866455, 1.0832161903381348, 1.0829973220825195, 1.082782506942749, 1.0825693607330322, 1.0823585987091064, 1.0821492671966553, 1.0819416046142578, 1.0817363262176514, 1.0815322399139404, 1.081125020980835, 1.0810015201568604, 1.0808043479919434, 1.0806090831756592, 1.0804154872894287, 1.0802230834960938, 1.0800325870513916, 1.0798437595367432, 1.0796563625335693, 1.0794706344604492, 1.079287052154541, 1.079103708267212, 1.0789237022399902, 1.0787465572357178, 1.0788040161132812, 1.0786292552947998, 1.0784595012664795, 1.0782911777496338, 1.078125, 1.0779626369476318, 1.0777990818023682, 1.0776402950286865, 1.0774846076965332, 1.0773310661315918, 1.0771801471710205, 1.0770320892333984, 1.076888084411621, 1.0759048461914062, 1.0757677555084229, 1.075634241104126, 1.0755047798156738, 1.075378656387329, 1.0753488540649414, 1.0752320289611816, 1.075117588043213, 1.0750067234039307, 1.0748999118804932, 1.074796438217163, 1.0746510028839111, 1.0738317966461182, 1.0737526416778564, 1.0736761093139648, 1.0736010074615479, 1.0735290050506592, 1.0733888149261475, 1.073322057723999, 1.0721075534820557, 1.0720643997192383, 1.0720219612121582, 1.071981430053711, 1.0721690654754639, 1.0721385478973389, 1.072110652923584, 1.0720841884613037, 1.0720605850219727, 1.0720396041870117, 1.0720210075378418, 1.0720055103302002, 1.071993112564087, 1.0719819068908691, 1.0729620456695557, 1.072960376739502, 1.0733911991119385, 1.0733888149261475, 1.073390245437622, 1.0733935832977295, 1.0733983516693115, 1.0734050273895264, 1.0734152793884277, 1.0734264850616455, 1.0734403133392334, 1.0734567642211914, 1.0734748840332031, 1.0735094547271729, 1.0735318660736084, 1.0737359523773193, 1.074143886566162, 1.0741708278656006, 1.074199914932251, 1.07405686378479, 1.0740914344787598, 1.0741276741027832, 1.074164867401123, 1.0742061138153076, 1.074249505996704, 1.0742957592010498, 1.074342966079712, 1.074394702911377, 1.074448585510254, 1.0745055675506592, 1.0745649337768555, 1.074627161026001, 1.074693202972412, 1.0747616291046143, 1.0748322010040283, 1.0749108791351318, 1.0753793716430664, 1.0754566192626953, 1.075535535812378, 1.0756187438964844, 1.0757052898406982, 1.0761048793792725, 1.0761988162994385, 1.0762979984283447, 1.0757958889007568, 1.075899600982666, 1.075895071029663, 1.0760059356689453, 1.076117753982544, 1.0762338638305664, 1.0763518810272217, 1.0758373737335205, 1.0759632587432861, 1.0760912895202637, 1.0762240886688232, 1.0763583183288574, 1.0764954090118408, 1.0766351222991943, 1.0767791271209717, 1.0769872665405273, 1.077136754989624, 1.07728910446167, 1.0774424076080322, 1.077599287033081, 1.077759027481079, 1.077768087387085, 1.0779330730438232, 1.078099012374878, 1.078268051147461, 1.078439712524414, 1.0786151885986328, 1.0787920951843262, 1.0789718627929688, 1.079153299331665, 1.0793378353118896, 1.0792779922485352, 1.0794692039489746, 1.0798439979553223, 1.080040454864502, 1.0802390575408936, 1.0804412364959717, 1.0806448459625244, 1.080850601196289, 1.081059217453003, 1.0812702178955078, 1.0814838409423828, 1.0816566944122314, 1.0818753242492676], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0029923394322395325, 0.0013251476921141148, -0.009093675762414932), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01047604251652956, 0.03151093050837517, -0.019164707511663437), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.030977122485637665, -0.004263678099960089, -0.021408064290881157), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0031660355161875486, 0.0035857148468494415, -0.010848713107407093), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005859942641109228, 0.0011658846633508801, -0.010409990325570107), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.032743748277425766, -0.018438586965203285, 0.018599344417452812), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006309361197054386, 0.008996051736176014, -0.015829870477318764), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.026747366413474083, 0.01528845727443695, 0.010884325951337814), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009213654324412346, 0.0019564770627766848, -0.016360703855752945), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.10336370021104813, 0.04432810842990875, -0.047708626836538315), (0.06334815919399261, 0.05156414955854416, -0.09033199399709702)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=11, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4290492534637451, 2.414278507232666, 23.034278869628906), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.017183205112814903, 4.913398265838623, 23.16120147705078), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4087733030319214, 7.34230899810791, 23.059165954589844), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.245934963226318, 2.4435131549835205, 23.06818199157715), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.871614694595337, 4.890926837921143, 23.035566329956055), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4315776824951172, 7.355891227722168, 23.048044204711914), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.056478500366211, 2.4322619438171387, 23.049047470092773), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.6470770835876465, 4.889578342437744, 23.056814193725586), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.241388320922852, 7.332285404205322, 23.076923370361328), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (0.3572756052017212, 4.765252113342285, 25.130760192871094), (0.9468601942062378, 5.512688159942627, 25.373878479003906)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0335209369659424, energy_trajectory=[1.3671634197235107, 1.3607759475708008, 1.35286283493042, 1.3453304767608643, 1.338158369064331, 1.3311100006103516, 1.3242483139038086, 1.317584753036499, 1.3110978603363037, 1.304781198501587, 1.298581600189209, 1.2925827503204346, 1.2867622375488281, 1.2811551094055176, 1.2759814262390137, 1.2707865238189697, 1.26576828956604, 1.2609214782714844, 1.2562344074249268, 1.2517015933990479, 1.2473137378692627, 1.2430639266967773, 1.2388463020324707, 1.2348570823669434, 1.2309911251068115, 1.2272422313690186, 1.223607063293457, 1.2200813293457031, 1.2166638374328613, 1.2133524417877197, 1.2101449966430664, 1.2070386409759521, 1.204033613204956, 1.201127052307129, 1.1983156204223633, 1.1956002712249756, 1.1928019523620605, 1.190265417098999, 1.187628984451294, 1.1852874755859375, 1.1825690269470215, 1.180424451828003, 1.178370475769043, 1.1763806343078613, 1.1745004653930664, 1.1727032661437988, 1.1709837913513184, 1.169339895248413, 1.1677672863006592, 1.1662623882293701, 1.1648218631744385, 1.1634416580200195, 1.162121295928955, 1.1608545780181885, 1.1596405506134033, 1.1584761142730713, 1.1571073532104492, 1.1560328006744385, 1.1549992561340332, 1.154005527496338, 1.153048038482666, 1.1521246433258057, 1.1512343883514404, 1.150373935699463, 1.1495418548583984, 1.148735523223877, 1.1479547023773193, 1.1471340656280518, 1.1463923454284668, 1.1456701755523682, 1.1449651718139648, 1.1443862915039062, 1.143711805343628, 1.1444118022918701, 1.1437633037567139, 1.1431293487548828, 1.1425061225891113, 1.1418917179107666, 1.1412875652313232, 1.1406910419464111, 1.1400413513183594, 1.1394598484039307, 1.138885259628296, 1.1383168697357178, 1.1377551555633545, 1.1371991634368896, 1.1366488933563232, 1.136103630065918, 1.1355645656585693, 1.1350300312042236, 1.1345012187957764, 1.1341824531555176, 1.133662462234497, 1.1331470012664795, 1.1326346397399902, 1.1321275234222412, 1.1316235065460205, 1.1311230659484863, 1.1306264400482178, 1.1301333904266357, 1.1296427249908447, 1.129154920578003, 1.1286699771881104, 1.128185510635376, 1.1278834342956543, 1.1274023056030273, 1.1269221305847168, 1.1264421939849854, 1.1259639263153076, 1.1254856586456299, 1.1250081062316895, 1.1245298385620117, 1.1240508556365967, 1.1235718727111816, 1.1230885982513428, 1.1226072311401367, 1.1221253871917725, 1.1216411590576172, 1.1211557388305664, 1.1206681728363037, 1.1201789379119873, 1.1196885108947754, 1.1191949844360352, 1.1187009811401367, 1.1182053089141846, 1.1177077293395996, 1.117208480834961, 1.1167080402374268, 1.1162068843841553, 1.1157042980194092, 1.1152007579803467, 1.1146972179412842, 1.1141934394836426, 1.1136894226074219, 1.113184928894043, 1.1126811504364014, 1.112177848815918, 1.1116752624511719, 1.1111745834350586, 1.1106746196746826, 1.1101765632629395, 1.1096785068511963, 1.1091835498809814, 1.1086905002593994, 1.1081998348236084, 1.107710838317871, 1.1072237491607666, 1.1067390441894531, 1.1062560081481934, 1.105776071548462, 1.1052966117858887, 1.1048197746276855, 1.1043453216552734, 1.103872299194336, 1.1034002304077148, 1.1029300689697266, 1.102461814880371, 1.1019940376281738, 1.1015279293060303, 1.101038932800293, 1.100560188293457, 1.100080966949463, 1.0996479988098145, 1.0991697311401367, 1.0986909866333008, 1.0982129573822021, 1.0977342128753662, 1.0972557067871094, 1.096775770187378, 1.0962960720062256, 1.0958154201507568, 1.0960311889648438, 1.0955336093902588, 1.0950345993041992, 1.0945377349853516, 1.0940396785736084, 1.093541145324707, 1.0930426120758057, 1.0924770832061768, 1.0919747352600098, 1.091472864151001, 1.0909698009490967, 1.0904664993286133, 1.089977502822876, 1.0894713401794434, 1.0889654159545898, 1.0884575843811035, 1.087949275970459, 1.0874409675598145, 1.086930513381958, 1.086421012878418, 1.0859103202819824, 1.0853986740112305, 1.0848870277404785, 1.0840771198272705, 1.0835621356964111, 1.0830483436584473, 1.0824062824249268, 1.0818912982940674, 1.0813775062561035, 1.080864429473877, 1.0803813934326172, 1.0799379348754883, 1.07932710647583, 1.078798532485962, 1.0782902240753174, 1.0777838230133057, 1.0772786140441895, 1.0767755508422852, 1.0762743949890137, 1.0757744312286377, 1.0752763748168945, 1.0747809410095215, 1.0742855072021484, 1.0733680725097656, 1.0728728771209717, 1.0723791122436523, 1.0718863010406494, 1.0713253021240234, 1.070835828781128, 1.0703468322753906, 1.0698578357696533, 1.069368839263916, 1.068507432937622, 1.0680196285247803, 1.067608118057251, 1.0671191215515137, 1.0666310787200928, 1.06614351272583, 1.06565523147583, 1.065169095993042, 1.0646817684173584, 1.0641953945159912, 1.0637097358703613, 1.063225507736206, 1.0627412796020508, 1.0622589588165283, 1.0617778301239014, 1.061298131942749, 1.0608186721801758, 1.0603411197662354, 1.059865951538086, 1.0593914985656738, 1.0589194297790527, 1.0584492683410645, 1.057981252670288, 1.0579860210418701, 1.0575251579284668, 1.0570666790008545, 1.056609869003296, 1.056154489517212, 1.0557031631469727, 1.055253505706787, 1.0548057556152344, 1.0543608665466309, 1.0539188385009766, 1.0521833896636963, 1.0517282485961914, 1.0512735843658447, 1.05082106590271, 1.0503685474395752, 1.0499186515808105, 1.0494699478149414, 1.0490226745605469, 1.048769474029541, 1.0483293533325195, 1.0478920936584473, 1.047454833984375, 1.0470192432403564, 1.0463809967041016, 1.0459511280059814, 1.0455231666564941, 1.0450975894927979, 1.0446724891662598, 1.0442242622375488, 1.0438036918640137, 1.0433850288391113, 1.04296875, 1.0425548553466797, 1.0421438217163086, 1.0417358875274658, 1.0413315296173096, 1.040928840637207, 1.0405313968658447, 1.0401370525360107, 1.0396051406860352, 1.0392191410064697, 1.0388357639312744, 1.0384571552276611, 1.037414789199829, 1.037027359008789, 1.036646842956543, 1.0362694263458252, 1.0358965396881104, 1.0355284214019775, 1.0351641178131104, 1.0348045825958252, 1.034224033355713, 1.0338711738586426, 1.0335209369659424], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0012100528692826629, 0.034375645220279694, 0.014910289086401463), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0115683414041996, -0.011326761916279793, -0.024826932698488235), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005670824088156223, -0.0005289450054988265, -0.01960947923362255), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (6.888169446028769e-05, 0.00472802622243762, -0.013580196537077427), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02621920220553875, -0.0025055697187781334, 0.0014846691628918052), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (6.52607559459284e-05, -0.012939230538904667, -0.007985997013747692), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007704433985054493, 0.009557201527059078, -0.011464420706033707), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001427552429959178, 0.0031320443376898766, -0.016183942556381226), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004587318282574415, 0.002793786581605673, -0.020670127123594284), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.10154471546411514, 0.01681271754205227, 0.015964174643158913), (-0.08041082322597504, -0.029831668362021446, -0.03266430273652077)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=12, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.434740424156189, 2.458904504776001, 23.067270278930664), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.014736365526914597, 4.895370960235596, 23.054067611694336), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3805993795394897, 7.339630603790283, 23.08026123046875), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.255956172943115, 2.442122459411621, 23.06505584716797), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8653135299682617, 4.888580799102783, 23.103126525878906), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3991868495941162, 7.367913722991943, 23.0253963470459), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.075891494750977, 2.455429792404175, 23.0662841796875), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.704733371734619, 4.887960910797119, 23.037147521972656), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.303891181945801, 7.386054992675781, 23.022369384765625), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (3.149407148361206, 5.667765140533447, 24.952333450317383), (3.329970121383667, 4.939789772033691, 25.58050537109375)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.1699378490447998, energy_trajectory=[2.0673396587371826, 2.0559041500091553, 2.0464928150177, 2.037647008895874, 2.0294082164764404, 2.021716833114624, 2.014483690261841, 2.007719039916992, 2.0011773109436035, 1.994886875152588, 1.9887988567352295, 1.9828779697418213, 1.9770927429199219, 1.9714152812957764, 1.9660592079162598, 1.960402011871338, 1.9549574851989746, 1.9495646953582764, 1.944221019744873, 1.938917875289917, 1.9336581230163574, 1.928433895111084, 1.923243522644043, 1.9180865287780762, 1.9129633903503418, 1.9078741073608398, 1.9028167724609375, 1.8977940082550049, 1.8929693698883057, 1.888017177581787, 1.8834660053253174, 1.8785760402679443, 1.8737194538116455, 1.868898630142212, 1.864121913909912, 1.859400749206543, 1.8547368049621582, 1.8501288890838623, 1.845569372177124, 1.8410515785217285, 1.8365669250488281, 1.83211088180542, 1.8270118236541748, 1.8226027488708496, 1.8182177543640137, 1.8138535022735596, 1.8095121383666992, 1.8051910400390625, 1.8008906841278076, 1.7966089248657227, 1.7923476696014404, 1.7881016731262207, 1.7838709354400635, 1.779655933380127, 1.7754542827606201, 1.7712669372558594, 1.7670347690582275, 1.7628724575042725, 1.7587237358093262, 1.7545883655548096, 1.7504656314849854, 1.746354579925537, 1.7422561645507812, 1.737969160079956, 1.7338945865631104, 1.7298321723937988, 1.725782871246338, 1.7217466831207275, 1.7177205085754395, 1.7137365341186523, 1.7099547386169434, 1.7060952186584473, 1.7021148204803467, 1.6981470584869385, 1.6941890716552734, 1.6900489330291748, 1.686110258102417, 1.6821815967559814, 1.6789016723632812, 1.6749932765960693, 1.6710917949676514, 1.6671991348266602, 1.66331148147583, 1.6594343185424805, 1.655561923980713, 1.6516969203948975, 1.6476471424102783, 1.6437864303588867, 1.6399335861206055, 1.63608980178833, 1.6322529315948486, 1.6284229755401611, 1.624556303024292, 1.6207451820373535, 1.6169416904449463, 1.6131486892700195, 1.609328269958496, 1.6055567264556885, 1.6017930507659912, 1.5980417728424072, 1.5944347381591797, 1.5907087326049805, 1.586996078491211, 1.58329439163208, 1.579606533050537, 1.5759296417236328, 1.5722682476043701, 1.568619966506958, 1.564985990524292, 1.5613677501678467, 1.5577633380889893, 1.5541760921478271, 1.5506041049957275, 1.547048568725586, 1.5435097217559814, 1.5399889945983887, 1.5364854335784912, 1.5329992771148682, 1.5295298099517822, 1.5260775089263916, 1.5226426124572754, 1.5200810432434082, 1.5167772769927979, 1.513401985168457, 1.5100438594818115, 1.5067028999328613, 1.5033769607543945, 1.5000689029693604, 1.496776819229126, 1.4935004711151123, 1.4902398586273193, 1.4869961738586426, 1.483767032623291, 1.480316162109375, 1.4789302349090576, 1.4757592678070068, 1.4725956916809082, 1.4694461822509766, 1.4663095474243164, 1.4631853103637695, 1.4602577686309814, 1.4571592807769775, 1.4540736675262451, 1.4510014057159424, 1.4479398727416992, 1.4446637630462646, 1.4416286945343018, 1.4386069774627686, 1.4356186389923096, 1.4326627254486084, 1.4297385215759277, 1.4268462657928467, 1.4239845275878906, 1.4211549758911133, 1.4183552265167236, 1.4155852794647217, 1.4127686023712158, 1.409963607788086, 1.4072761535644531, 1.404618501663208, 1.4019889831542969, 1.3993873596191406, 1.3968133926391602, 1.3942654132843018, 1.3917438983917236, 1.3892474174499512, 1.3867764472961426, 1.384047031402588, 1.3817412853240967, 1.379347562789917, 1.3771095275878906, 1.3747620582580566, 1.3724358081817627, 1.3701303005218506, 1.3678474426269531, 1.365584373474121, 1.36334228515625, 1.3610405921936035, 1.3588368892669678, 1.356633186340332, 1.3544659614562988, 1.3523187637329102, 1.3501896858215332, 1.348257064819336, 1.346161127090454, 1.3440825939178467, 1.34201979637146, 1.3399734497070312, 1.3379411697387695, 1.3358380794525146, 1.333834171295166, 1.331845998764038, 1.3298735618591309, 1.3279149532318115, 1.3259711265563965, 1.3240408897399902, 1.3221235275268555, 1.3202204704284668, 1.318328857421875, 1.3164501190185547, 1.3145842552185059, 1.3128128051757812, 1.310969352722168, 1.3091371059417725, 1.3073155879974365, 1.3053455352783203, 1.3032310009002686, 1.3014423847198486, 1.2996623516082764, 1.297881841659546, 1.2961180210113525, 1.2943627834320068, 1.2926154136657715, 1.2921888828277588, 1.290461540222168, 1.288740634918213, 1.2870264053344727, 1.2853188514709473, 1.2836182117462158, 1.2819249629974365, 1.2802379131317139, 1.278557538986206, 1.2768847942352295, 1.2752182483673096, 1.273559331893921, 1.2718465328216553, 1.2702007293701172, 1.2686278820037842, 1.2669994831085205, 1.265378713607788, 1.263765573501587, 1.2621607780456543, 1.2605633735656738, 1.2589733600616455, 1.257390022277832, 1.2558143138885498, 1.254246711730957, 1.2526862621307373, 1.2511324882507324, 1.2495861053466797, 1.2480478286743164, 1.2465159893035889, 1.2449924945831299, 1.243448257446289, 1.2419404983520508, 1.240440845489502, 1.238950252532959, 1.2374672889709473, 1.236039400100708, 1.234574556350708, 1.2331180572509766, 1.2316696643829346, 1.2302300930023193, 1.2287991046905518, 1.2273764610290527, 1.2259631156921387, 1.224557638168335, 1.2231605052947998, 1.2217726707458496, 1.2203924655914307, 1.2190208435058594, 1.2176573276519775, 1.2163026332855225, 1.2149550914764404, 1.2136156558990479, 1.2122840881347656, 1.2109601497650146, 1.2096431255340576, 1.208432674407959, 1.2071306705474854, 1.2058355808258057, 1.2045469284057617, 1.2032649517059326, 1.2019894123077393, 1.2007203102111816, 1.1993472576141357, 1.198089361190796, 1.196838140487671, 1.1955926418304443, 1.1943535804748535, 1.1931216716766357, 1.1918950080871582, 1.1905748844146729, 1.1887474060058594, 1.1875393390655518, 1.1863374710083008, 1.184326410293579, 1.1831414699554443, 1.1819629669189453, 1.1807913780212402, 1.1796271800994873, 1.1784694194793701, 1.1778829097747803, 1.1767139434814453, 1.1755759716033936, 1.174382209777832, 1.17326021194458, 1.172145128250122, 1.1710376739501953, 1.1699378490447998], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005127250216901302, -0.008975543081760406, -0.01450691744685173), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0033868071623146534, 0.00280620064586401, -0.012134267948567867), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0006210757419466972, 0.003940270282328129, -0.014677051454782486), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008215370588004589, 0.008536352775990963, -0.007039390504360199), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0009105679346248507, 0.01905018836259842, 0.06122765317559242), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01898195594549179, 0.0021313403267413378, -0.0010792611865326762), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011465979740023613, 0.0016686805756762624, -0.008915318176150322), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011092714965343475, 0.009671650826931, 0.01391541212797165), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.027814535424113274, -0.03970996290445328, 0.03333328664302826), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.2534252405166626, -0.10223132371902466, 0.16292144358158112), (0.10631812363862991, -0.13385644555091858, -0.00502549484372139)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=13, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3856465816497803, 2.4907126426696777, 23.17082405090332), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.008654332719743252, 4.947704315185547, 23.047752380371094), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4040162563323975, 7.362085342407227, 23.046754837036133), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.2257232666015625, 2.4878339767456055, 23.05097198486328), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8235461711883545, 4.928939342498779, 23.059412002563477), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4078325033187866, 7.371866703033447, 23.056926727294922), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.020859718322754, 2.4906280040740967, 23.03721046447754), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.640838146209717, 4.9298601150512695, 23.06057357788086), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.22022819519043, 7.3425517082214355, 23.029640197753906), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.0173115730285645, 2.2832553386688232, 25.13775634765625), (1.3748414516448975, 3.0675346851348877, 25.60279083251953)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0322270393371582, energy_trajectory=[1.1261861324310303, 1.1186151504516602, 1.112070083618164, 1.1057357788085938, 1.0995545387268066, 1.0936000347137451, 1.0880396366119385, 1.0823109149932861, 1.076477289199829, 1.0707480907440186, 1.0655884742736816, 1.0606131553649902, 1.0558252334594727, 1.0512306690216064, 1.0468311309814453, 1.0426266193389893, 1.0386192798614502, 1.0348093509674072, 1.031200885772705, 1.0277986526489258, 1.0246143341064453, 1.0216591358184814, 1.018949270248413, 1.01646089553833, 1.0142905712127686, 1.0124115943908691, 1.010829210281372, 1.0095384120941162, 1.0084877014160156, 1.0076873302459717, 1.0070562362670898, 1.006531000137329, 1.006049394607544, 1.0055699348449707, 1.005056381225586, 1.0044913291931152, 1.0038836002349854, 1.0032577514648438, 1.0026452541351318, 1.0020723342895508, 1.0015668869018555, 1.001138687133789, 1.0007953643798828, 1.000532627105713, 1.0003433227539062, 1.0002195835113525, 1.0001540184020996, 1.0001380443572998, 1.000164270401001, 1.000227451324463, 0.9997696280479431, 0.9998926520347595, 1.0000391006469727, 0.9997809529304504, 0.9999637007713318, 1.0001599788665771, 1.0003702640533447, 1.0005886554718018, 1.0008184909820557, 1.0010552406311035, 1.0013000965118408, 1.0015511512756348, 1.0018069744110107, 1.0020661354064941, 1.0023303031921387, 1.0025975704193115, 1.0028660297393799, 1.0035154819488525, 1.0037896633148193, 1.0040650367736816, 1.0043399333953857, 1.004371166229248, 1.0046451091766357, 1.0049738883972168, 1.0052461624145508, 1.0055172443389893, 1.005786418914795, 1.006054401397705, 1.0063202381134033, 1.0065820217132568, 1.0068416595458984, 1.0070991516113281, 1.007354497909546, 1.007605791091919, 1.0078392028808594, 1.0080139636993408, 1.0082509517669678, 1.0084898471832275, 1.0087730884552002, 1.0094435214996338, 1.0096356868743896, 1.009857177734375, 1.010075569152832, 1.010288953781128, 1.0104997158050537, 1.0107066631317139, 1.0109100341796875, 1.0111069679260254, 1.0113015174865723, 1.0115876197814941, 1.0117735862731934, 1.0119576454162598, 1.0121376514434814, 1.0123140811920166, 1.0124852657318115, 1.0126533508300781, 1.0128192901611328, 1.0129814147949219, 1.0131418704986572, 1.0132997035980225, 1.013376235961914, 1.0135273933410645, 1.0136761665344238, 1.0138230323791504, 1.013861894607544, 1.014005184173584, 1.0141470432281494, 1.0142865180969238, 1.0144245624542236, 1.0145606994628906, 1.0146939754486084, 1.0148279666900635, 1.0149574279785156, 1.0150752067565918, 1.0152308940887451, 1.0153594017028809, 1.0154869556427002, 1.0156149864196777, 1.0157406330108643, 1.0158662796020508, 1.0159904956817627, 1.016113519668579, 1.0162036418914795, 1.016319990158081, 1.016434907913208, 1.0162715911865234, 1.016383171081543, 1.0165162086486816, 1.0166256427764893, 1.0167341232299805, 1.0168404579162598, 1.0169470310211182, 1.0169341564178467, 1.0165023803710938, 1.0166006088256836, 1.0166971683502197, 1.0167934894561768, 1.0168871879577637, 1.0169811248779297, 1.017073392868042, 1.017164945602417, 1.0172560214996338, 1.017347812652588, 1.0174381732940674, 1.0175299644470215, 1.0176222324371338, 1.0177154541015625, 1.017812728881836, 1.0179100036621094, 1.018007516860962, 1.0181071758270264, 1.0182101726531982, 1.0183143615722656, 1.0184214115142822, 1.0185303688049316, 1.0186424255371094, 1.0187592506408691, 1.0188775062561035, 1.0188853740692139, 1.0190138816833496, 1.0191447734832764, 1.0192794799804688, 1.019418478012085, 1.0195631980895996, 1.0197107791900635, 1.0198628902435303, 1.020019292831421, 1.0201778411865234, 1.0203404426574707, 1.0205063819885254, 1.0206773281097412, 1.0208516120910645, 1.0210285186767578, 1.0212087631225586, 1.0213913917541504, 1.0215764045715332, 1.0213258266448975, 1.0215184688568115, 1.021712064743042, 1.0219082832336426, 1.0221030712127686, 1.0223002433776855, 1.022179126739502, 1.0223798751831055, 1.0225803852081299, 1.0227787494659424, 1.0228006839752197, 1.0229320526123047, 1.023127555847168, 1.0233206748962402, 1.0235135555267334, 1.0237042903900146, 1.0238926410675049, 1.0240790843963623, 1.0242626667022705, 1.0244457721710205, 1.024491310119629, 1.0246706008911133, 1.0247876644134521, 1.0249607563018799, 1.0251309871673584, 1.025298833847046, 1.0254631042480469, 1.0256259441375732, 1.0257837772369385, 1.0258963108062744, 1.0260505676269531, 1.0262031555175781, 1.0263512134552002, 1.0264956951141357, 1.0266382694244385, 1.0267784595489502, 1.0269169807434082, 1.0270516872406006, 1.027343988418579, 1.027475118637085, 1.0276029109954834, 1.027728796005249, 1.028045654296875, 1.028167963027954, 1.0280930995941162, 1.0282416343688965, 1.0283589363098145, 1.0284736156463623, 1.0285868644714355, 1.0284452438354492, 1.0285589694976807, 1.028669834136963, 1.028566598892212, 1.0286760330200195, 1.0287816524505615, 1.0287082195281982, 1.0288102626800537, 1.0290462970733643, 1.0291380882263184, 1.029261827468872, 1.0293498039245605, 1.0294339656829834, 1.0295169353485107, 1.0295963287353516, 1.0296733379364014, 1.0297482013702393, 1.0298197269439697, 1.0296893119812012, 1.0297589302062988, 1.0298266410827637, 1.029891014099121, 1.029956579208374, 1.0300190448760986, 1.0300803184509277, 1.0301413536071777, 1.0302000045776367, 1.0304954051971436, 1.0305519104003906, 1.0306079387664795, 1.0309510231018066, 1.0309169292449951, 1.0311434268951416, 1.0311970710754395, 1.0312511920928955, 1.031235694885254, 1.0314052104949951, 1.0313169956207275, 1.0313704013824463, 1.0314230918884277, 1.0314760208129883, 1.0312106609344482, 1.0314860343933105, 1.0315062999725342, 1.0313451290130615, 1.0313658714294434, 1.0314764976501465, 1.0314977169036865, 1.0315194129943848, 1.0315415859222412, 1.0315639972686768, 1.0315864086151123, 1.031609058380127, 1.0315392017364502, 1.0315649509429932, 1.0315923690795898, 1.031313419342041, 1.0313422679901123, 1.03108811378479, 1.0311200618743896, 1.0317304134368896, 1.0319147109985352, 1.0319459438323975, 1.0320987701416016, 1.0322270393371582], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008131593465805054, -0.0038464439567178488, 0.013487239368259907), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.025717224925756454, -0.016819996759295464, 0.008619205094873905), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014502345584332943, -0.04013650119304657, -0.0016219168901443481), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013047467917203903, -0.026421040296554565, 0.003381990361958742), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006678814068436623, -0.0026759738102555275, -0.0018878612900152802), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01772116869688034, -0.025161657482385635, 0.025883495807647705), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01969262585043907, -0.027149975299835205, 0.014462636783719063), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016855187714099884, -0.026500754058361053, 0.031072888523340225), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.022524137049913406, -0.031989119946956635, 0.011025486513972282), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.1364728957414627, 0.003868397092446685, -0.03327438607811928), (0.03371388092637062, 0.07241478562355042, -0.07060801982879639)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=14, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4344220161437988, 2.3924765586853027, 23.057147979736328), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.024203449487686157, 4.836455345153809, 23.065689086914062), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.369126319885254, 7.285808086395264, 23.05906105041504), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.258016586303711, 2.395646095275879, 23.074661254882812), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.824540376663208, 4.800195693969727, 23.040712356567383), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4064263105392456, 7.29607629776001, 23.03360939025879), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.074278354644775, 2.3993334770202637, 23.056970596313477), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.697102069854736, 4.8080949783325195, 23.036296844482422), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.2823920249938965, 7.2535576820373535, 23.145050048828125), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (3.930647134780884, 6.73666524887085, 25.060029983520508), (4.490725994110107, 5.944754600524902, 25.225139617919922)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.1028437614440918, energy_trajectory=[1.6766769886016846, 1.6692070960998535, 1.6612873077392578, 1.653468370437622, 1.64577317237854, 1.6382501125335693, 1.6308932304382324, 1.6236951351165771, 1.616642951965332, 1.609785556793213, 1.602996826171875, 1.5963196754455566, 1.5895845890045166, 1.5830841064453125, 1.5766961574554443, 1.5703959465026855, 1.564176321029663, 1.5580146312713623, 1.5518159866333008, 1.5458219051361084, 1.5403242111206055, 1.5344641208648682, 1.5286707878112793, 1.5229172706604004, 1.517249584197998, 1.5116455554962158, 1.5061039924621582, 1.500626802444458, 1.4952151775360107, 1.4895684719085693, 1.4842894077301025, 1.4790832996368408, 1.4739480018615723, 1.4688880443572998, 1.4636619091033936, 1.4587459564208984, 1.4539070129394531, 1.449188470840454, 1.4443819522857666, 1.4395973682403564, 1.4351084232330322, 1.430711030960083, 1.4263949394226074, 1.4221065044403076, 1.417954683303833, 1.4138805866241455, 1.409881353378296, 1.4060864448547363, 1.4022343158721924, 1.3984532356262207, 1.3947391510009766, 1.391092300415039, 1.387519359588623, 1.3840045928955078, 1.3805534839630127, 1.3771677017211914, 1.3738422393798828, 1.370579481124878, 1.3673760890960693, 1.3642323017120361, 1.361147165298462, 1.3581185340881348, 1.3551476001739502, 1.3522305488586426, 1.348853588104248, 1.346118688583374, 1.3433609008789062, 1.3406553268432617, 1.3380002975463867, 1.3353946208953857, 1.3329315185546875, 1.3304228782653809, 1.3276774883270264, 1.3252577781677246, 1.3228819370269775, 1.3205478191375732, 1.3182580471038818, 1.316007137298584, 1.3138096332550049, 1.3116648197174072, 1.309617042541504, 1.3075695037841797, 1.3055682182312012, 1.3036110401153564, 1.301642656326294, 1.299769401550293, 1.2979345321655273, 1.2961368560791016, 1.2943165302276611, 1.292586088180542, 1.2908899784088135, 1.2892248630523682, 1.2875888347625732, 1.2859828472137451, 1.2844047546386719, 1.282853603363037, 1.2813270092010498, 1.2798264026641846, 1.2783491611480713, 1.2771685123443604, 1.275733232498169, 1.2743196487426758, 1.2729246616363525, 1.2715489864349365, 1.2701919078826904, 1.2687709331512451, 1.2674486637115479, 1.2661418914794922, 1.2648811340332031, 1.2636053562164307, 1.2623438835144043, 1.2610969543457031, 1.2598648071289062, 1.2586441040039062, 1.2583973407745361, 1.2572300434112549, 1.2560741901397705, 1.2549307346343994, 1.253798007965088, 1.252676010131836, 1.2515654563903809, 1.2504653930664062, 1.249704360961914, 1.2486279010772705, 1.247560977935791, 1.246504306793213, 1.245236873626709, 1.2441985607147217, 1.2431697845458984, 1.2421512603759766, 1.2411401271820068, 1.2401387691497803, 1.2391464710235596, 1.2381644248962402, 1.2371869087219238, 1.2362191677093506, 1.235257863998413, 1.234304428100586, 1.23335862159729, 1.232419490814209, 1.2314879894256592, 1.230656385421753, 1.229736328125, 1.2288227081298828, 1.2279143333435059, 1.2270114421844482, 1.2261135578155518, 1.2251036167144775, 1.2242166996002197, 1.223332405090332, 1.2224533557891846, 1.2215783596038818, 1.2207074165344238, 1.2198400497436523, 1.2189750671386719, 1.2181143760681152, 1.2172565460205078, 1.2164020538330078, 1.215550422668457, 1.2146999835968018, 1.2138524055480957, 1.213005542755127, 1.2121608257293701, 1.2113170623779297, 1.2104744911193848, 1.2092599868774414, 1.2084197998046875, 1.207578182220459, 1.2067384719848633, 1.2058990001678467, 1.2052764892578125, 1.2045838832855225, 1.203742504119873, 1.2030198574066162, 1.202176809310913, 1.2013325691223145, 1.2004878520965576, 1.1996424198150635, 1.198793888092041, 1.1979458332061768, 1.197096347808838, 1.1962449550628662, 1.195392370223999, 1.1945385932922363, 1.1936817169189453, 1.1928248405456543, 1.191964864730835, 1.191103219985962, 1.190004587173462, 1.1891393661499023, 1.188004732131958, 1.1871342658996582, 1.186262607574463, 1.185389757156372, 1.1845142841339111, 1.1836364269256592, 1.182631254196167, 1.181750774383545, 1.1808679103851318, 1.1799819469451904, 1.1790964603424072, 1.1782078742980957, 1.1773180961608887, 1.176426649093628, 1.175532341003418, 1.1746370792388916, 1.1737399101257324, 1.1728427410125732, 1.1719439029693604, 1.1710443496704102, 1.1701433658599854, 1.1692407131195068, 1.1683390140533447, 1.1674368381500244, 1.1664998531341553, 1.165597677230835, 1.164696216583252, 1.16391921043396, 1.1630189418792725, 1.1621196269989014, 1.161219835281372, 1.160323143005371, 1.159428596496582, 1.1586790084838867, 1.157787561416626, 1.1568996906280518, 1.1560156345367432, 1.155134677886963, 1.1542584896087646, 1.1533102989196777, 1.1524426937103271, 1.1515800952911377, 1.1507220268249512, 1.1498711109161377, 1.1491551399230957, 1.148313045501709, 1.147477149963379, 1.1466436386108398, 1.1458170413970947, 1.1449925899505615, 1.1441733837127686, 1.143357515335083, 1.1425459384918213, 1.141737937927246, 1.1410319805145264, 1.1402301788330078, 1.1394336223602295, 1.1386399269104004, 1.1378519535064697, 1.1370677947998047, 1.1362884044647217, 1.135512351989746, 1.1347413063049316, 1.1339752674102783, 1.1332132816314697, 1.1324572563171387, 1.1317055225372314, 1.1309585571289062, 1.130216360092163, 1.1294784545898438, 1.128746747970581, 1.1280205249786377, 1.1273000240325928, 1.1265833377838135, 1.1258721351623535, 1.1251657009124756, 1.124464988708496, 1.12388277053833, 1.1231918334960938, 1.1226704120635986, 1.1219890117645264, 1.1213133335113525, 1.1206421852111816, 1.1199758052825928, 1.1193132400512695, 1.1186559200286865, 1.1180038452148438, 1.11735200881958, 1.1167054176330566, 1.115816593170166, 1.1151766777038574, 1.1145482063293457, 1.1138899326324463, 1.1132359504699707, 1.1124632358551025, 1.1118135452270508, 1.1111655235290527, 1.1105217933654785, 1.1098785400390625, 1.1092379093170166, 1.1085991859436035, 1.1079623699188232, 1.1073250770568848, 1.106693983078003, 1.1059293746948242, 1.1053009033203125, 1.104712963104248, 1.104088544845581, 1.1034653186798096, 1.1028437614440918], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0033449246548116207, 0.01652255840599537, -0.006772106979042292), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0075117615051567554, 0.006538669113069773, -0.005785937421023846), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0017947128508239985, 0.004393015056848526, -0.005240573547780514), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0028520342893898487, 0.004401158541440964, -0.008214427158236504), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0017255236161872745, 0.011696495115756989, -0.003544700564816594), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0050297947600483894, 0.0009907737839967012, 9.086211321118753e-06), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010880854912102222, 0.021580202504992485, -0.010926234535872936), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009184755384922028, 0.010015823878347874, 0.0005865244893357158), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009783347137272358, 0.013391539454460144, -0.006635405123233795), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.029070287942886353, 0.13158878684043884, 0.015254121273756027), (0.015366176143288612, 0.1070324033498764, 0.05679912865161896)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=15, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3142673969268799, 2.387404680252075, 23.057090759277344), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.08357005566358566, 4.784695148468018, 23.06509780883789), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.6132444143295288, 7.2792487144470215, 23.08970832824707), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.133852005004883, 2.381868839263916, 23.061166763305664), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.7344517707824707, 4.828004360198975, 23.066591262817383), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4023174047470093, 7.329158782958984, 22.991914749145508), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.953108787536621, 2.39365553855896, 23.089733123779297), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.490880489349365, 4.7890496253967285, 23.032073974609375), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.1108174324035645, 7.275707244873047, 23.090667724609375), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-0.6451906561851501, 6.162391662597656, 24.67847442626953), (-1.2999277114868164, 5.618546962738037, 25.170120239257812)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0931956768035889, energy_trajectory=[1.7931721210479736, 1.7870020866394043, 1.7803421020507812, 1.7738289833068848, 1.7675645351409912, 1.7614269256591797, 1.7553927898406982, 1.7494418621063232, 1.7435612678527832, 1.737738847732544, 1.7319624423980713, 1.7268142700195312, 1.7211103439331055, 1.71543288230896, 1.7097737789154053, 1.704176425933838, 1.69854736328125, 1.6929285526275635, 1.6873178482055664, 1.681715965270996, 1.6761212348937988, 1.6705338954925537, 1.6652531623840332, 1.6596801280975342, 1.6541152000427246, 1.6486005783081055, 1.643066167831421, 1.6375439167022705, 1.632035493850708, 1.6265411376953125, 1.6210620403289795, 1.6155998706817627, 1.610156536102295, 1.604731559753418, 1.599327564239502, 1.5939435958862305, 1.588550090789795, 1.5829811096191406, 1.5776689052581787, 1.5725393295288086, 1.567322015762329, 1.56174635887146, 1.5565271377563477, 1.551330327987671, 1.5461573600769043, 1.5410091876983643, 1.5358867645263672, 1.5307896137237549, 1.5257174968719482, 1.520672082901001, 1.5156536102294922, 1.5106616020202637, 1.5056979656219482, 1.5007617473602295, 1.4958539009094238, 1.4909753799438477, 1.4861273765563965, 1.4813084602355957, 1.4767134189605713, 1.4717609882354736, 1.467090368270874, 1.4624216556549072, 1.4578239917755127, 1.4532945156097412, 1.4488322734832764, 1.444434642791748, 1.4401025772094727, 1.435833215713501, 1.4316253662109375, 1.4274771213531494, 1.4233882427215576, 1.419355869293213, 1.415294885635376, 1.411191701889038, 1.4073255062103271, 1.4035108089447021, 1.3997478485107422, 1.3960342407226562, 1.3923697471618652, 1.38875412940979, 1.3851854801177979, 1.3816630840301514, 1.3781862258911133, 1.3747532367706299, 1.3713634014129639, 1.3680150508880615, 1.3647081851959229, 1.361083984375, 1.3578543663024902, 1.3546643257141113, 1.3515081405639648, 1.3483891487121582, 1.345304012298584, 1.3422529697418213, 1.3392353057861328, 1.3362483978271484, 1.332953929901123, 1.330033302307129, 1.327141284942627, 1.3242762088775635, 1.321439504623413, 1.3191180229187012, 1.3163328170776367, 1.3135733604431152, 1.3108375072479248, 1.30812406539917, 1.3054335117340088, 1.3027644157409668, 1.300116777420044, 1.2974891662597656, 1.2948806285858154, 1.2922782897949219, 1.2897071838378906, 1.2867205142974854, 1.2841854095458984, 1.2816674709320068, 1.2791666984558105, 1.276681900024414, 1.2742128372192383, 1.271643877029419, 1.2692053318023682, 1.266880750656128, 1.2644717693328857, 1.2620766162872314, 1.259613275527954, 1.2572455406188965, 1.255040168762207, 1.2526988983154297, 1.250370740890503, 1.2480547428131104, 1.245750904083252, 1.2434582710266113, 1.241231918334961, 1.2389612197875977, 1.236701250076294, 1.2344517707824707, 1.2322118282318115, 1.2299811840057373, 1.2277603149414062, 1.2255480289459229, 1.2223076820373535, 1.2201104164123535, 1.2179200649261475, 1.2157373428344727, 1.2135612964630127, 1.2113926410675049, 1.2092299461364746, 1.2070746421813965, 1.204827070236206, 1.2026853561401367, 1.2005484104156494, 1.1984202861785889, 1.1959621906280518, 1.1938631534576416, 1.1917774677276611, 1.1897060871124268, 1.1876487731933594, 1.1856040954589844, 1.1835730075836182, 1.1815547943115234, 1.1795499324798584, 1.1775572299957275, 1.175577163696289, 1.1736092567443848, 1.1716525554656982, 1.169708251953125, 1.1675679683685303, 1.1656463146209717, 1.163736343383789, 1.1618375778198242, 1.1599502563476562, 1.1580750942230225, 1.1562108993530273, 1.1543595790863037, 1.1525206565856934, 1.1506927013397217, 1.148878574371338, 1.1470777988433838, 1.1452901363372803, 1.143517017364502, 1.141758918762207, 1.140016794204712, 1.1382908821105957, 1.136582374572754, 1.1346478462219238, 1.1331238746643066, 1.1314325332641602, 1.1298022270202637, 1.1281955242156982, 1.1266119480133057, 1.125051736831665, 1.1235177516937256, 1.12200927734375, 1.1205267906188965, 1.119072675704956, 1.1176471710205078, 1.116241216659546, 1.1148741245269775, 1.1135361194610596, 1.1121323108673096, 1.1104180812835693, 1.1091663837432861, 1.107923984527588, 1.1067306995391846, 1.1054325103759766, 1.1043000221252441, 1.1030921936035156, 1.1020221710205078, 1.1009836196899414, 1.0999836921691895, 1.0990216732025146, 1.0980970859527588, 1.0973358154296875, 1.096484661102295, 1.095656394958496, 1.0948379039764404, 1.094088077545166, 1.0933668613433838, 1.0928761959075928, 1.0921669006347656, 1.0915148258209229, 1.09088134765625, 1.090266466140747, 1.089538812637329, 1.08894681930542, 1.0884463787078857, 1.087888240814209, 1.087348461151123, 1.086815595626831, 1.0863137245178223, 1.0855154991149902, 1.085057258605957, 1.0846261978149414, 1.0842230319976807, 1.0838487148284912, 1.083503246307373, 1.0831868648529053, 1.0829005241394043, 1.0826430320739746, 1.0824151039123535, 1.0821592807769775, 1.0819871425628662, 1.0818426609039307, 1.0817253589630127, 1.081634759902954, 1.0815691947937012, 1.0815629959106445, 1.0815470218658447, 1.0815529823303223, 1.0815801620483398, 1.081676721572876, 1.0817415714263916, 1.0818235874176025, 1.0819239616394043, 1.0820398330688477, 1.082169771194458, 1.082383155822754, 1.0825390815734863, 1.082707166671753, 1.0828857421875, 1.0830368995666504, 1.0832340717315674, 1.0834381580352783, 1.083648681640625, 1.0838851928710938, 1.084108829498291, 1.084338903427124, 1.085376501083374, 1.0862128734588623, 1.0864498615264893, 1.0866889953613281, 1.0869300365447998, 1.087172508239746, 1.087416410446167, 1.0875344276428223, 1.0877799987792969, 1.0879302024841309, 1.0881729125976562, 1.0884137153625488, 1.0888409614562988, 1.089038610458374, 1.089271068572998, 1.0894291400909424, 1.089501142501831, 1.0898768901824951, 1.0900945663452148, 1.0900325775146484, 1.090181589126587, 1.09025239944458, 1.0904512405395508, 1.090644359588623, 1.09079909324646, 1.0917096138000488, 1.091883897781372, 1.0920519828796387, 1.0922126770019531, 1.0923676490783691, 1.0930206775665283, 1.0930678844451904, 1.0931956768035889], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01822134293615818, 0.011919503100216389, 0.004633489064872265), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04779955744743347, -0.009318530559539795, 0.04404516890645027), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.10027754306793213, 0.04875114560127258, -0.0035230352077633142), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01799040287733078, 0.02204430103302002, 0.011286692693829536), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.021810302510857582, 0.012615631334483624, 0.00020783464424312115), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011358515359461308, 0.00688562449067831, 0.017512233927845955), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.016539491713047028, -0.014388815499842167, -0.011945471167564392), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00506362272426486, 0.02174880914390087, -0.004296435974538326), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.03972826525568962, 0.00934826023876667, -0.00028594539617188275), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.09109646081924438, -0.17895933985710144, 0.10585552453994751), (-0.13884857296943665, 0.15093453228473663, -0.002305966801941395)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=16, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4623464345932007, 2.440483331680298, 23.070653915405273), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.04645330086350441, 4.879938125610352, 23.051721572875977), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3666964769363403, 7.329494476318359, 23.052946090698242), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.266242504119873, 2.45632004737854, 23.04176902770996), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.877520799636841, 4.864615440368652, 23.052845001220703), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4959094524383545, 7.320774078369141, 23.142616271972656), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.117919921875, 2.4682557582855225, 23.043058395385742), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.694228649139404, 4.883840560913086, 23.066579818725586), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.3199687004089355, 7.323380947113037, 23.0368595123291), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.973186016082764, 0.2601206600666046, 25.11307144165039), (6.889430999755859, -0.04154076427221298, 25.30320930480957)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.04417085647583, energy_trajectory=[1.7388997077941895, 1.7324659824371338, 1.7261149883270264, 1.7198498249053955, 1.7136709690093994, 1.7076001167297363, 1.7017066478729248, 1.695897102355957, 1.6899547576904297, 1.6841187477111816, 1.6782450675964355, 1.6723949909210205, 1.6665620803833008, 1.6607427597045898, 1.6549327373504639, 1.6491150856018066, 1.6433210372924805, 1.6375315189361572, 1.6317434310913086, 1.6259596347808838, 1.6201224327087402, 1.6142010688781738, 1.6084237098693848, 1.6026504039764404, 1.5968830585479736, 1.5911216735839844, 1.585364818572998, 1.5796175003051758, 1.5738768577575684, 1.5681462287902832, 1.5624287128448486, 1.556722640991211, 1.5510337352752686, 1.5454022884368896, 1.5397498607635498, 1.5341176986694336, 1.5283336639404297, 1.5222833156585693, 1.5167317390441895, 1.511352300643921, 1.5058553218841553, 1.5003902912139893, 1.494959831237793, 1.4895648956298828, 1.4843339920043945, 1.4790112972259521, 1.4737286567687988, 1.468489170074463, 1.4632914066314697, 1.458134651184082, 1.4530231952667236, 1.4479551315307617, 1.442931890487671, 1.4379518032073975, 1.4330191612243652, 1.428131103515625, 1.4232873916625977, 1.418342113494873, 1.4135923385620117, 1.4088892936706543, 1.4042339324951172, 1.399627447128296, 1.3950695991516113, 1.3905613422393799, 1.3861057758331299, 1.3817567825317383, 1.377403974533081, 1.3731067180633545, 1.3688642978668213, 1.3645930290222168, 1.3604907989501953, 1.3564205169677734, 1.3524057865142822, 1.3484482765197754, 1.3445453643798828, 1.3408446311950684, 1.3370532989501953, 1.3333172798156738, 1.3296360969543457, 1.3260080814361572, 1.3224334716796875, 1.3189103603363037, 1.3154375553131104, 1.3120160102844238, 1.3086140155792236, 1.304976463317871, 1.301701307296753, 1.298182487487793, 1.2950003147125244, 1.2918622493743896, 1.2887697219848633, 1.2857208251953125, 1.2827155590057373, 1.2798864841461182, 1.2769694328308105, 1.2740952968597412, 1.2711105346679688, 1.2683210372924805, 1.265575885772705, 1.2628719806671143, 1.2602112293243408, 1.257591962814331, 1.255014419555664, 1.252476692199707, 1.2499802112579346, 1.2474753856658936, 1.245058536529541, 1.2426810264587402, 1.2403342723846436, 1.2380342483520508, 1.2357721328735352, 1.2334487438201904, 1.2312614917755127, 1.229109287261963, 1.2272553443908691, 1.2251031398773193, 1.2227809429168701, 1.2207622528076172, 1.2187762260437012, 1.2167351245880127, 1.214810848236084, 1.2129158973693848, 1.2110493183135986, 1.2092094421386719, 1.207397222518921, 1.205611228942871, 1.2038507461547852, 1.2019999027252197, 1.200289011001587, 1.1986010074615479, 1.1969377994537354, 1.1952977180480957, 1.1936774253845215, 1.1920831203460693, 1.1907103061676025, 1.1901319026947021, 1.1886065006256104, 1.187101125717163, 1.1855278015136719, 1.1840705871582031, 1.1826372146606445, 1.181227445602417, 1.1798396110534668, 1.1784741878509521, 1.1771295070648193, 1.1758065223693848, 1.1745035648345947, 1.1732206344604492, 1.1719577312469482, 1.1707122325897217, 1.169485330581665, 1.1682746410369873, 1.1670818328857422, 1.1659040451049805, 1.1647422313690186, 1.1635944843292236, 1.1624603271484375, 1.1613409519195557, 1.1602318286895752, 1.159135341644287, 1.1580498218536377, 1.1569750308990479, 1.1570839881896973, 1.156012773513794, 1.1549508571624756, 1.1538972854614258, 1.1528348922729492, 1.1517751216888428, 1.1509013175964355, 1.149876356124878, 1.148857831954956, 1.147845983505249, 1.1468381881713867, 1.1455957889556885, 1.144599199295044, 1.1436071395874023, 1.1426193714141846, 1.1416347026824951, 1.1406540870666504, 1.1396770477294922, 1.138702392578125, 1.137730598449707, 1.136760950088501, 1.1357362270355225, 1.1347715854644775, 1.133810043334961, 1.1328489780426025, 1.132014513015747, 1.131052017211914, 1.1300764083862305, 1.1291155815124512, 1.128154993057251, 1.127194881439209, 1.1261591911315918, 1.125199317932129, 1.1242403984069824, 1.1232810020446777, 1.122321605682373, 1.1213629245758057, 1.120323657989502, 1.11936616897583, 1.118408441543579, 1.1174516677856445, 1.1164958477020264, 1.1155402660369873, 1.114586591720581, 1.113633155822754, 1.1126809120178223, 1.111729621887207, 1.1107814311981201, 1.1098334789276123, 1.1088874340057373, 1.1079444885253906, 1.1070027351379395, 1.1060636043548584, 1.105273962020874, 1.104339361190796, 1.1034059524536133, 1.1024749279022217, 1.1015465259552002, 1.1006219387054443, 1.0998904705047607, 1.0989704132080078, 1.098071575164795, 1.0971579551696777, 1.0962634086608887, 1.0954835414886475, 1.0945827960968018, 1.0936863422393799, 1.0927939414978027, 1.091905117034912, 1.0910203456878662, 1.0901403427124023, 1.0892648696899414, 1.0883917808532715, 1.0875253677368164, 1.0866634845733643, 1.0858080387115479, 1.0846765041351318, 1.083832025527954, 1.082991123199463, 1.0821561813354492, 1.0813264846801758, 1.080502986907959, 1.0796852111816406, 1.078873872756958, 1.078068494796753, 1.0772690773010254, 1.0764756202697754, 1.075688123703003, 1.0749082565307617, 1.0741345882415771, 1.0733678340911865, 1.0726070404052734, 1.0718541145324707, 1.0711073875427246, 1.0703680515289307, 1.069636583328247, 1.0689103603363037, 1.0681915283203125, 1.0674793720245361, 1.0667753219604492, 1.0659101009368896, 1.0652198791503906, 1.0645930767059326, 1.063915729522705, 1.0631675720214844, 1.0625040531158447, 1.0618469715118408, 1.061194896697998, 1.0605487823486328, 1.0598244667053223, 1.059190034866333, 1.0585613250732422, 1.0579383373260498, 1.0573194026947021, 1.0583393573760986, 1.0576648712158203, 1.056994915008545, 1.0563321113586426, 1.0556728839874268, 1.0550191402435303, 1.0543723106384277, 1.053729772567749, 1.052943468093872, 1.0523138046264648, 1.0516881942749023, 1.0510692596435547, 1.0504570007324219, 1.0498504638671875, 1.0492494106292725, 1.0486547946929932, 1.0480663776397705, 1.0474836826324463, 1.0469071865081787, 1.0463354587554932, 1.045769453048706, 1.0452759265899658, 1.0447213649749756, 1.04417085647583], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007410023361444473, -0.0003730780736077577, -0.0032598604448139668), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008625230751931667, -0.004012731369584799, -0.0045272051356732845), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011358200572431087, -0.000814699218608439, -0.005821341183036566), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004669970367103815, 0.0003364644362591207, -0.00234945653937757), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006097744219005108, 0.0011501024710014462, -0.0033452557399868965), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006420045159757137, -0.003540660021826625, 0.002444688929244876), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009965166449546814, -0.005138499196618795, -0.0016940553905442357), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007169550284743309, 0.0009687315323390067, -0.0024057591799646616), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014853703789412975, 0.002425958402454853, 0.0032023689709603786), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.09946240484714508, -0.06311681866645813, 0.016072358936071396), (-0.09994018822908401, 0.0018858042312785983, 0.0425228551030159)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=17, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3764582872390747, 2.437035322189331, 23.063961029052734), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.01521677803248167, 4.88784122467041, 23.049278259277344), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4415419101715088, 7.321207046508789, 23.067495346069336), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.139657974243164, 2.43452787399292, 23.021400451660156), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.785935640335083, 4.88446044921875, 23.074377059936523), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3742369413375854, 7.293472766876221, 23.04326820373535), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.99662971496582, 2.433631420135498, 23.099050521850586), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.588871955871582, 4.920963287353516, 23.034534454345703), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.20497989654541, 7.320624828338623, 23.057117462158203), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (6.292685031890869, 2.7500662803649902, 24.968076705932617), (6.841899394989014, 3.4608242511749268, 25.357952117919922)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.137939214706421, energy_trajectory=[2.1551504135131836, 2.141301155090332, 2.1308183670043945, 2.121127128601074, 2.112203359603882, 2.1042277812957764, 2.0964746475219727, 2.089149236679077, 2.082165479660034, 2.075460433959961, 2.069192409515381, 2.0627503395080566, 2.05661678314209, 2.0506107807159424, 2.044717311859131, 2.038923501968384, 2.033212900161743, 2.0275774002075195, 2.02200984954834, 2.0165035724639893, 2.0110549926757812, 2.0056569576263428, 2.000304698944092, 1.9949994087219238, 1.9897387027740479, 1.9845163822174072, 1.979332685470581, 1.9741835594177246, 1.9690709114074707, 1.9639875888824463, 1.9589364528656006, 1.953911542892456, 1.9489145278930664, 1.943937063217163, 1.9389853477478027, 1.9340550899505615, 1.9291510581970215, 1.9243712425231934, 1.9195058345794678, 1.9142096042633057, 1.9093804359436035, 1.9045653343200684, 1.8995461463928223, 1.8947670459747314, 1.889997959136963, 1.885239839553833, 1.8804917335510254, 1.875810146331787, 1.8710811138153076, 1.866358757019043, 1.8616423606872559, 1.8569316864013672, 1.8522264957427979, 1.8475258350372314, 1.8428313732147217, 1.8381407260894775, 1.8334555625915527, 1.8287756443023682, 1.8241016864776611, 1.819434404373169, 1.8147733211517334, 1.8101184368133545, 1.8054687976837158, 1.8008275032043457, 1.7961938381195068, 1.7915685176849365, 1.7870008945465088, 1.7823891639709473, 1.7777862548828125, 1.7731919288635254, 1.7686069011688232, 1.7640283107757568, 1.7595860958099365, 1.7550246715545654, 1.7504703998565674, 1.7459261417388916, 1.7413926124572754, 1.7368698120117188, 1.7323544025421143, 1.7278501987457275, 1.7233569622039795, 1.7188732624053955, 1.7144017219543457, 1.7097995281219482, 1.7053534984588623, 1.7008965015411377, 1.6964714527130127, 1.6920616626739502, 1.6876640319824219, 1.683281660079956, 1.6789133548736572, 1.6745574474334717, 1.6702165603637695, 1.6658899784088135, 1.661576271057129, 1.6572489738464355, 1.6529674530029297, 1.64870023727417, 1.6444451808929443, 1.640204668045044, 1.6359777450561523, 1.631763219833374, 1.6275618076324463, 1.6233727931976318, 1.6191935539245605, 1.6153767108917236, 1.6112253665924072, 1.6070868968963623, 1.602957010269165, 1.5988366603851318, 1.5947270393371582, 1.5906269550323486, 1.5865368843078613, 1.5824553966522217, 1.578383207321167, 1.5743188858032227, 1.5702626705169678, 1.5662150382995605, 1.562175989151001, 1.5583405494689941, 1.5543162822723389, 1.5503010749816895, 1.5462939739227295, 1.5422959327697754, 1.5383071899414062, 1.5343286991119385, 1.5303606986999512, 1.5260570049285889, 1.522442102432251, 1.5185120105743408, 1.514596700668335, 1.5106911659240723, 1.5067956447601318, 1.502915620803833, 1.4990489482879639, 1.4951961040496826, 1.491358757019043, 1.4874613285064697, 1.483654260635376, 1.4798622131347656, 1.4760878086090088, 1.4723286628723145, 1.4685890674591064, 1.46486496925354, 1.4611601829528809, 1.4574718475341797, 1.4538030624389648, 1.45015287399292, 1.4467129707336426, 1.4431002140045166, 1.439507246017456, 1.4359335899353027, 1.4323770999908447, 1.4288394451141357, 1.4253225326538086, 1.421823263168335, 1.4183425903320312, 1.4148509502410889, 1.4114058017730713, 1.4079790115356445, 1.4045689105987549, 1.4013721942901611, 1.3979780673980713, 1.3946192264556885, 1.3912765979766846, 1.3879480361938477, 1.3847072124481201, 1.3814082145690918, 1.378133773803711, 1.3748970031738281, 1.3714203834533691, 1.3682563304901123, 1.365126371383667, 1.3617300987243652, 1.3586711883544922, 1.355644941329956, 1.3526506423950195, 1.3496887683868408, 1.3467586040496826, 1.3438596725463867, 1.3409924507141113, 1.3381552696228027, 1.3353493213653564, 1.3326220512390137, 1.3298757076263428, 1.3271598815917969, 1.3244733810424805, 1.32181715965271, 1.3191897869110107, 1.316591739654541, 1.3140206336975098, 1.311478853225708, 1.3089640140533447, 1.3064770698547363, 1.3040165901184082, 1.3015847206115723, 1.2991786003112793, 1.2967700958251953, 1.2944164276123047, 1.292088270187378, 1.2897863388061523, 1.2875092029571533, 1.2852554321289062, 1.283027172088623, 1.2808222770690918, 1.2786409854888916, 1.276379108428955, 1.2742440700531006, 1.2721314430236816, 1.2699089050292969, 1.2678394317626953, 1.2657911777496338, 1.2637639045715332, 1.261756181716919, 1.2601995468139648, 1.2582318782806396, 1.2562830448150635, 1.2541296482086182, 1.2523157596588135, 1.2504212856292725, 1.2485456466674805, 1.2466864585876465, 1.2445876598358154, 1.2427606582641602, 1.2410504817962646, 1.2392547130584717, 1.237475872039795, 1.2357113361358643, 1.2337868213653564, 1.2320537567138672, 1.2303345203399658, 1.228630781173706, 1.2269415855407715, 1.225266456604004, 1.224123239517212, 1.222477912902832, 1.2208466529846191, 1.219228744506836, 1.2176244258880615, 1.216033935546875, 1.2144570350646973, 1.212893009185791, 1.2113430500030518, 1.2098057270050049, 1.2082812786102295, 1.2067699432373047, 1.2052695751190186, 1.203782320022583, 1.2023077011108398, 1.2008442878723145, 1.1993491649627686, 1.1979074478149414, 1.1964764595031738, 1.1950552463531494, 1.1936445236206055, 1.1922049522399902, 1.1908133029937744, 1.18943190574646, 1.1880581378936768, 1.1866943836212158, 1.1853392124176025, 1.183992624282837, 1.1826558113098145, 1.181326150894165, 1.1800055503845215, 1.17869234085083, 1.1773877143859863, 1.1760916709899902, 1.174823522567749, 1.1735434532165527, 1.172271966934204, 1.1710078716278076, 1.1697523593902588, 1.1684043407440186, 1.1670644283294678, 1.1658306121826172, 1.1646051406860352, 1.1633868217468262, 1.1621763706207275, 1.1609737873077393, 1.1598148345947266, 1.158627986907959, 1.1574485301971436, 1.156275987625122, 1.1545617580413818, 1.1534020900726318, 1.1522490978240967, 1.1511034965515137, 1.1499640941619873, 1.1488306522369385, 1.1477046012878418, 1.1465833187103271, 1.1454689502716064, 1.144150972366333, 1.1430485248565674, 1.142270565032959, 1.1411798000335693, 1.1400947570800781, 1.139014482498169, 1.137939214706421], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0049705058336257935, 0.0026494150515645742, -0.009773170575499535), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.018123451620340347, 0.0033960798755288124, 0.002152520464733243), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01210375502705574, 0.010187824256718159, -0.004648284055292606), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02721078135073185, 0.013555137440562248, 0.02856285311281681), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010234792716801167, -6.898547144373879e-05, -0.005993892904371023), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01261952891945839, 0.013832509517669678, -0.0033978179562836885), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016984358429908752, 0.04149220883846283, 0.07277722656726837), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009440915659070015, 0.0011115657398477197, -0.003350346116349101), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.019130690023303032, 0.0069385408423841, -0.007046252954751253), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.2553568482398987, -0.17673642933368683, 0.18139450252056122), (0.05150635913014412, 0.06189325824379921, 0.051994070410728455)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=18, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.137685775756836, 2.308187484741211, 23.075151443481445), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.2702861726284027, 4.701376438140869, 23.114849090576172), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.7355101108551025, 7.224828243255615, 23.09354019165039), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (3.9684255123138428, 2.3144023418426514, 23.084211349487305), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.5601000785827637, 4.740265846252441, 23.091367721557617), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.2490944862365723, 7.24022102355957, 23.00435447692871), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.782051086425781, 2.304582357406616, 23.10140609741211), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.325843811035156, 4.714167594909668, 23.059558868408203), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (3.9616591930389404, 7.183703422546387, 23.101285934448242), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-0.7753670811653137, 6.174875259399414, 24.716999053955078), (-1.4633300304412842, 5.806262969970703, 25.31175422668457)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.1405019760131836, energy_trajectory=[1.4174039363861084, 1.40834641456604, 1.4002501964569092, 1.392650842666626, 1.385418176651001, 1.3782966136932373, 1.3712115287780762, 1.364346981048584, 1.3575811386108398, 1.3509039878845215, 1.3444445133209229, 1.3382847309112549, 1.3323941230773926, 1.3267881870269775, 1.3213651180267334, 1.3161475658416748, 1.3111200332641602, 1.3062505722045898, 1.3015658855438232, 1.2970376014709473, 1.292656660079956, 1.2885303497314453, 1.2844159603118896, 1.280428409576416, 1.2766366004943848, 1.2728824615478516, 1.26930832862854, 1.2657694816589355, 1.2623317241668701, 1.2589895725250244, 1.2557415962219238, 1.2525832653045654, 1.249748945236206, 1.2463033199310303, 1.2430391311645508, 1.240255355834961, 1.23750638961792, 1.2348980903625488, 1.2322914600372314, 1.2297534942626953, 1.2272789478302002, 1.2248668670654297, 1.2225151062011719, 1.2202353477478027, 1.2179954051971436, 1.2158079147338867, 1.213672399520874, 1.2115838527679443, 1.2095415592193604, 1.2075419425964355, 1.2055656909942627, 1.2036473751068115, 1.2017662525177002, 1.1999192237854004, 1.1981072425842285, 1.1963262557983398, 1.1945748329162598, 1.1928527355194092, 1.1912789344787598, 1.1896123886108398, 1.18796968460083, 1.1862261295318604, 1.1846261024475098, 1.1830453872680664, 1.1814827919006348, 1.179936170578003, 1.1782944202423096, 1.1767778396606445, 1.1752731800079346, 1.173781156539917, 1.1723027229309082, 1.170832872390747, 1.169374704360962, 1.1679258346557617, 1.166698694229126, 1.165269136428833, 1.163848638534546, 1.1624560356140137, 1.16102933883667, 1.1596369743347168, 1.1582520008087158, 1.156876802444458, 1.1551587581634521, 1.1538031101226807, 1.1524643898010254, 1.1511459350585938, 1.1498441696166992, 1.1485605239868164, 1.1472949981689453, 1.1460473537445068, 1.1448156833648682, 1.1436026096343994, 1.1424052715301514, 1.1412231922149658, 1.1400585174560547, 1.1389081478118896, 1.1377744674682617, 1.1364772319793701, 1.1353697776794434, 1.1342759132385254, 1.13319730758667, 1.1321322917938232, 1.1310803890228271, 1.1300430297851562, 1.1287434101104736, 1.1277296543121338, 1.1267294883728027, 1.1258265972137451, 1.1248540878295898, 1.123896837234497, 1.1229543685913086, 1.1221446990966797, 1.121230125427246, 1.1203339099884033, 1.119452953338623, 1.11859130859375, 1.1175272464752197, 1.116699457168579, 1.115891695022583, 1.1151032447814941, 1.1143360137939453, 1.1135880947113037, 1.1128616333007812, 1.1119070053100586, 1.1111829280853271, 1.1105201244354248, 1.109879970550537, 1.1092627048492432, 1.1085779666900635, 1.1080050468444824, 1.1065571308135986, 1.1060302257537842, 1.1055235862731934, 1.1050353050231934, 1.1044023036956787, 1.1039512157440186, 1.1035165786743164, 1.1030983924865723, 1.102196216583252, 1.1018075942993164, 1.1014320850372314, 1.1009776592254639, 1.1005668640136719, 1.100226879119873, 1.0998992919921875, 1.0995850563049316, 1.0992817878723145, 1.0989930629730225, 1.0987169742584229, 1.098454236984253, 1.0982067584991455, 1.0979790687561035, 1.0977697372436523, 1.0975773334503174, 1.0972392559051514, 1.0970866680145264, 1.096952199935913, 1.0966362953186035, 1.0965447425842285, 1.0963115692138672, 1.0962607860565186, 1.0961520671844482, 1.096146821975708, 1.0961623191833496, 1.096198320388794, 1.0963809490203857, 1.0964488983154297, 1.096531867980957, 1.096681833267212, 1.096789836883545, 1.0969102382659912, 1.0970404148101807, 1.0971791744232178, 1.0973286628723145, 1.0974853038787842, 1.0976505279541016, 1.0978238582611084, 1.0980026721954346, 1.0984001159667969, 1.098595142364502, 1.0987589359283447, 1.0989773273468018, 1.1001708507537842, 1.1007354259490967, 1.1007862091064453, 1.1010148525238037, 1.1012485027313232, 1.1014888286590576, 1.1019220352172852, 1.1021764278411865, 1.1022894382476807, 1.102553129196167, 1.1026666164398193, 1.102942705154419, 1.1032259464263916, 1.1033728122711182, 1.103546380996704, 1.1038475036621094, 1.1041572093963623, 1.1044752597808838, 1.1048016548156738, 1.1051366329193115, 1.1054821014404297, 1.1058382987976074, 1.1062047481536865, 1.1065824031829834, 1.1065471172332764, 1.1069281101226807, 1.1073355674743652, 1.1077532768249512, 1.1081807613372803, 1.108076810836792, 1.1085283756256104, 1.1082556247711182, 1.10872220993042, 1.1091985702514648, 1.1106858253479004, 1.111185073852539, 1.1116206645965576, 1.1122546195983887, 1.1127820014953613, 1.113313913345337, 1.1138534545898438, 1.1144039630889893, 1.1146953105926514, 1.11525559425354, 1.116150140762329, 1.1162493228912354, 1.1168296337127686, 1.1174182891845703, 1.1180105209350586, 1.118603229522705, 1.1197328567504883, 1.1202702522277832, 1.1208827495574951, 1.121863603591919, 1.122490406036377, 1.123121738433838, 1.1237564086914062, 1.1243963241577148, 1.1250412464141846, 1.1256897449493408, 1.1263384819030762, 1.1273841857910156, 1.1280503273010254, 1.1287198066711426, 1.1293909549713135, 1.1300671100616455, 1.1307456493377686, 1.1314284801483154, 1.1321141719818115, 1.132800579071045, 1.1334810256958008, 1.1341571807861328, 1.1348247528076172, 1.135484218597412, 1.1361355781555176, 1.1367781162261963, 1.1374056339263916, 1.1372082233428955, 1.1376824378967285, 1.1382231712341309, 1.138737678527832, 1.1392254829406738, 1.1396887302398682, 1.1401193141937256, 1.1405258178710938, 1.1409037113189697, 1.141254186630249, 1.1415791511535645, 1.1418769359588623, 1.1421477794647217, 1.1423909664154053, 1.1426079273223877, 1.1427991390228271, 1.1429641246795654, 1.1431045532226562, 1.143218755722046, 1.1433095932006836, 1.1433765888214111, 1.1434197425842285, 1.1434404850006104, 1.1433711051940918, 1.1433501243591309, 1.143354892730713, 1.1432933807373047, 1.1432101726531982, 1.1431069374084473, 1.1429851055145264, 1.1428446769714355, 1.1426844596862793, 1.1425073146820068, 1.1423137187957764, 1.1421010494232178, 1.1418728828430176, 1.1416294574737549, 1.1413705348968506, 1.1410951614379883, 1.1408052444458008, 1.1405019760131836], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.09459482133388519, 0.048061877489089966, -0.01079072430729866), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.06114889681339264, 0.03963649645447731, -0.003408025484532118), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.08209377527236938, 0.03196220472455025, 0.009312729351222515), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0834999531507492, 0.032109759747982025, -0.008362083695828915), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0818779394030571, 0.055134665220975876, -0.015296801924705505), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.058728791773319244, 0.04191753640770912, 0.0032214289531111717), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.08542726933956146, 0.036767929792404175, -0.0023176856338977814), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.07801128923892975, 0.046686798334121704, -0.01572979800403118), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.07850895822048187, 0.052152566611766815, 0.0018539903685450554), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008424178697168827, -0.0727807953953743, 0.03600562363862991), (-0.08325271308422089, -0.0918731614947319, -0.09958615154027939)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=19, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4063271284103394, 2.422729969024658, 23.064035415649414), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.013708540238440037, 4.869665622711182, 23.052581787109375), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.40630304813385, 7.3180766105651855, 23.049882888793945), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.21569299697876, 2.397834539413452, 23.037796020507812), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.7962374687194824, 4.872547626495361, 23.04050636291504), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4096274375915527, 7.310569763183594, 23.071481704711914), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.063738822937012, 2.4058194160461426, 23.046510696411133), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.651557445526123, 4.852142333984375, 23.16000747680664), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.222689628601074, 7.322561264038086, 23.045146942138672), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.4561638832092285, 4.703614711761475, 25.146562576293945), (5.774026393890381, 3.805464744567871, 25.384248733520508)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.017484188079834, energy_trajectory=[1.2773432731628418, 1.2717595100402832, 1.264573574066162, 1.2575874328613281, 1.250946044921875, 1.244506597518921, 1.238255500793457, 1.2333183288574219, 1.2274515628814697, 1.2217679023742676, 1.2164015769958496, 1.2108840942382812, 1.2057998180389404, 1.200920581817627, 1.1963021755218506, 1.1918394565582275, 1.1875865459442139, 1.1836538314819336, 1.1798198223114014, 1.176191806793213, 1.172478437423706, 1.1692311763763428, 1.1662073135375977, 1.1633741855621338, 1.1607248783111572, 1.1582529544830322, 1.1559512615203857, 1.1538116931915283, 1.1518275737762451, 1.1499273777008057, 1.1482293605804443, 1.1466593742370605, 1.1450693607330322, 1.143730878829956, 1.1424942016601562, 1.1412222385406494, 1.1401681900024414, 1.1391890048980713, 1.138279914855957, 1.137432336807251, 1.1366393566131592, 1.1358962059020996, 1.1351978778839111, 1.1342449188232422, 1.1336207389831543, 1.133028268814087, 1.1324653625488281, 1.1319305896759033, 1.131425142288208, 1.1309411525726318, 1.1304807662963867, 1.1300454139709473, 1.129633903503418, 1.1292476654052734, 1.1288847923278809, 1.128546953201294, 1.128232717514038, 1.1279404163360596, 1.1276724338531494, 1.1274254322052002, 1.127199411392212, 1.12699294090271, 1.1269292831420898, 1.126769781112671, 1.1266117095947266, 1.1265349388122559, 1.1264019012451172, 1.1262779235839844, 1.1261630058288574, 1.1260554790496826, 1.125952959060669, 1.1258544921875, 1.1257586479187012, 1.1256656646728516, 1.1255724430084229, 1.1254780292510986, 1.1253821849822998, 1.1252832412719727, 1.1251802444458008, 1.125072956085205, 1.1249620914459229, 1.1248447895050049, 1.1247200965881348, 1.1245903968811035, 1.124452829360962, 1.1243078708648682, 1.1241552829742432, 1.1239964962005615, 1.1238291263580322, 1.1236543655395508, 1.1234726905822754, 1.1232829093933105, 1.1230552196502686, 1.1228523254394531, 1.122640609741211, 1.1224026679992676, 1.122178077697754, 1.1219449043273926, 1.1217069625854492, 1.1214625835418701, 1.1212108135223389, 1.1209535598754883, 1.1206905841827393, 1.1204204559326172, 1.1201412677764893, 1.119858980178833, 1.1195709705352783, 1.1192784309387207, 1.118978500366211, 1.1186728477478027, 1.1183598041534424, 1.1180408000946045, 1.1178193092346191, 1.1174862384796143, 1.11714506149292, 1.1167950630187988, 1.1164369583129883, 1.1160693168640137, 1.115694284439087, 1.1153090000152588, 1.114915132522583, 1.1143736839294434, 1.1139600276947021, 1.1135363578796387, 1.1131019592285156, 1.1126573085784912, 1.1121997833251953, 1.111732006072998, 1.1112520694732666, 1.1107594966888428, 1.1101765632629395, 1.1101789474487305, 1.109630823135376, 1.1090970039367676, 1.1085200309753418, 1.1079328060150146, 1.1072421073913574, 1.106633186340332, 1.106013536453247, 1.1053826808929443, 1.104741096496582, 1.104090929031372, 1.1034300327301025, 1.1027605533599854, 1.1020827293395996, 1.101395845413208, 1.100700855255127, 1.0999970436096191, 1.0992865562438965, 1.0985684394836426, 1.0978424549102783, 1.0971102714538574, 1.0963709354400635, 1.095625638961792, 1.0948750972747803, 1.0941195487976074, 1.0933587551116943, 1.0925934314727783, 1.0918257236480713, 1.0910539627075195, 1.0903244018554688, 1.0895488262176514, 1.0887725353240967, 1.0880482196807861, 1.0872681140899658, 1.0864903926849365, 1.0857124328613281, 1.0849378108978271, 1.0841655731201172, 1.0833954811096191, 1.0826292037963867, 1.0818665027618408, 1.0811080932617188, 1.0803534984588623, 1.0796034336090088, 1.0788583755493164, 1.0781176090240479, 1.0773825645446777, 1.0766541957855225, 1.0755033493041992, 1.07478666305542, 1.073134422302246, 1.0724210739135742, 1.0717172622680664, 1.0710198879241943, 1.0703277587890625, 1.0696439743041992, 1.0689666271209717, 1.0682964324951172, 1.0676333904266357, 1.0669775009155273, 1.0663301944732666, 1.065690517425537, 1.0650577545166016, 1.0644333362579346, 1.063817024230957, 1.063209056854248, 1.0626084804534912, 1.062016487121582, 1.061432123184204, 1.0608563423156738, 1.0602879524230957, 1.0597281455993652, 1.0591747760772705, 1.0586302280426025, 1.0580923557281494, 1.0575613975524902, 1.057037353515625, 1.0553874969482422, 1.0548474788665771, 1.0543127059936523, 1.053783655166626, 1.0532593727111816, 1.0527405738830566, 1.0522277355194092, 1.0517194271087646, 1.0512170791625977, 1.0507185459136963, 1.0502173900604248, 1.0497307777404785, 1.0494377613067627, 1.0489623546600342, 1.0484919548034668, 1.048025369644165, 1.047562599182129, 1.047102928161621, 1.046647310256958, 1.0461947917938232, 1.0456593036651611, 1.0452113151550293, 1.0443596839904785, 1.0439202785491943, 1.043485164642334, 1.0430536270141602, 1.0426239967346191, 1.0421473979949951, 1.0414071083068848, 1.040985107421875, 1.0405681133270264, 1.0401537418365479, 1.039841651916504, 1.0387496948242188, 1.0383334159851074, 1.03792405128479, 1.0375175476074219, 1.0371191501617432, 1.0367209911346436, 1.0363271236419678, 1.0359370708465576, 1.0355494022369385, 1.0351667404174805, 1.0347862243652344, 1.034407615661621, 1.0339686870574951, 1.0335972309112549, 1.0332260131835938, 1.032857894897461, 1.0324900150299072, 1.0321235656738281, 1.0317573547363281, 1.0313918590545654, 1.0310277938842773, 1.030663251876831, 1.0302987098693848, 1.0303654670715332, 1.0300037860870361, 1.0296401977539062, 1.02927827835083, 1.0289127826690674, 1.0285475254058838, 1.0281810760498047, 1.0278160572052002, 1.027449369430542, 1.027082920074463, 1.0267152786254883, 1.0264852046966553, 1.0261170864105225, 1.0257470607757568, 1.0253794193267822, 1.0250098705291748, 1.0246427059173584, 1.0242750644683838, 1.0239083766937256, 1.023540735244751, 1.0231728553771973, 1.0228068828582764, 1.0221550464630127, 1.021789789199829, 1.021425724029541, 1.0210604667663574, 1.0206971168518066, 1.0203347206115723, 1.0199730396270752, 1.0196130275726318, 1.019254446029663, 1.0188965797424316, 1.0185413360595703, 1.0181875228881836, 1.0178356170654297, 1.017484188079834], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0026488446164876223, 0.0033544148318469524, 0.0006386807654052973), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0008630004595033824, 0.0023377665784209967, -0.0025780503638088703), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0033602409530431032, 0.005758821032941341, -0.00137141824234277), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006501275580376387, 0.011241713538765907, 0.004312201868742704), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005743825808167458, 0.0005929092294536531, 0.001715113059617579), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0010811302345246077, 0.0034657164942473173, -0.0037713705096393824), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0030082305893301964, 0.007964497432112694, -0.0014132540673017502), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0021516054403036833, 0.013677025213837624, -0.02239334024488926), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00025092423311434686, 0.0032727450598031282, -0.00020778355246875435), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.039231278002262115, 0.053524844348430634, -0.003913803957402706), (0.006913330405950546, 0.06390762329101562, 0.001435992424376309)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=20, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.409842848777771, 2.4182629585266113, 23.041507720947266), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.00023104494903236628, 4.879865646362305, 23.050880432128906), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4020881652832031, 7.321657180786133, 23.06868553161621), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.250443458557129, 2.4114739894866943, 23.037702560424805), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.835960865020752, 4.887932777404785, 23.14910888671875), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4131613969802856, 7.3293633460998535, 23.054454803466797), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.064363956451416, 2.4321911334991455, 23.062742233276367), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.682317733764648, 4.880654811859131, 23.03798484802246), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.248237133026123, 7.3356242179870605, 23.05089569091797), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (3.1128740310668945, 4.617715358734131, 25.117990493774414), (3.571639060974121, 5.419901371002197, 25.446022033691406)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0231196880340576, energy_trajectory=[1.3671722412109375, 1.361046552658081, 1.3538281917572021, 1.3473327159881592, 1.3405158519744873, 1.333801031112671, 1.3274705410003662, 1.3212833404541016, 1.3152270317077637, 1.3093767166137695, 1.3033638000488281, 1.297837495803833, 1.2925455570220947, 1.2874972820281982, 1.2826502323150635, 1.2784080505371094, 1.2736051082611084, 1.269380807876587, 1.2653532028198242, 1.261509656906128, 1.2578413486480713, 1.254340648651123, 1.2510011196136475, 1.2478137016296387, 1.2447717189788818, 1.2418673038482666, 1.23909330368042, 1.2364420890808105, 1.2339527606964111, 1.2315268516540527, 1.229203701019287, 1.2269794940948486, 1.2248461246490479, 1.2227997779846191, 1.2208342552185059, 1.2189466953277588, 1.2171313762664795, 1.2153832912445068, 1.213697910308838, 1.2120726108551025, 1.2105028629302979, 1.2089853286743164, 1.207331895828247, 1.2059085369110107, 1.2045283317565918, 1.2032439708709717, 1.2019429206848145, 1.200676441192627, 1.1994445323944092, 1.1984152793884277, 1.197242259979248, 1.196096420288086, 1.1949760913848877, 1.1938791275024414, 1.1928040981292725, 1.191739797592163, 1.1907062530517578, 1.1896896362304688, 1.1886897087097168, 1.1877052783966064, 1.1867341995239258, 1.1857764720916748, 1.184830665588379, 1.1838963031768799, 1.1831178665161133, 1.1822054386138916, 1.181302785873413, 1.1804084777832031, 1.1795234680175781, 1.1786458492279053, 1.1777763366699219, 1.1769146919250488, 1.1760594844818115, 1.1752128601074219, 1.174419641494751, 1.1735854148864746, 1.1727573871612549, 1.1719348430633545, 1.1711173057556152, 1.1703054904937744, 1.1694977283477783, 1.1686944961547852, 1.1678948402404785, 1.1670985221862793, 1.1663053035736084, 1.164827823638916, 1.164039134979248, 1.163254737854004, 1.1624705791473389, 1.1616861820220947, 1.160902738571167, 1.1601181030273438, 1.1593337059020996, 1.15854811668396, 1.1577613353729248, 1.1563341617584229, 1.1554934978485107, 1.1554665565490723, 1.1546688079833984, 1.153698444366455, 1.1529018878936768, 1.152104139328003, 1.151305913925171, 1.150505542755127, 1.1497068405151367, 1.1489057540893555, 1.1481051445007324, 1.1473045349121094, 1.1465046405792236, 1.145704746246338, 1.1448791027069092, 1.1441373825073242, 1.1433403491973877, 1.1425447463989258, 1.1417500972747803, 1.1409575939178467, 1.140167236328125, 1.1393780708312988, 1.1385045051574707, 1.1377198696136475, 1.136937141418457, 1.1361579895019531, 1.1353795528411865, 1.134488582611084, 1.133716106414795, 1.1329452991485596, 1.1321766376495361, 1.1314113140106201, 1.1306474208831787, 1.1298871040344238, 1.1289832592010498, 1.1282241344451904, 1.1274681091308594, 1.1266684532165527, 1.1262450218200684, 1.1254944801330566, 1.1247470378875732, 1.123999834060669, 1.1232528686523438, 1.1225082874298096, 1.1217632293701172, 1.1210203170776367, 1.1202771663665771, 1.1195340156555176, 1.118790864944458, 1.118048906326294, 1.1173064708709717, 1.1165642738342285, 1.115821361541748, 1.1150777339935303, 1.1140024662017822, 1.1137726306915283, 1.1130213737487793, 1.1122689247131348, 1.111515998840332, 1.1107614040374756, 1.111532211303711, 1.1107583045959473, 1.1099867820739746, 1.1092157363891602, 1.108442783355713, 1.107008457183838, 1.1062331199645996, 1.1052935123443604, 1.1045193672180176, 1.103745698928833, 1.102973222732544, 1.1022002696990967, 1.1014292240142822, 1.100661039352417, 1.0998928546905518, 1.0991265773773193, 1.0983631610870361, 1.0976004600524902, 1.0968408584594727, 1.096083164215088, 1.0953278541564941, 1.094576120376587, 1.093824863433838, 1.0930769443511963, 1.0923304557800293, 1.0918083190917969, 1.0910732746124268, 1.0903384685516357, 1.0896074771881104, 1.0888774394989014, 1.0881497859954834, 1.087503433227539, 1.0867767333984375, 1.0860519409179688, 1.085329532623291, 1.0846080780029297, 1.0838890075683594, 1.083172082901001, 1.0824575424194336, 1.0817434787750244, 1.0810317993164062, 1.0803217887878418, 1.079615592956543, 1.0789105892181396, 1.078209400177002, 1.0775117874145508, 1.0768165588378906, 1.0761263370513916, 1.0754382610321045, 1.074754238128662, 1.0740761756896973, 1.0734012126922607, 1.0727312564849854, 1.072066068649292, 1.071406364440918, 1.0707502365112305, 1.0701005458831787, 1.069455623626709, 1.0688164234161377, 1.0681803226470947, 1.0675513744354248, 1.0669262409210205, 1.0663061141967773, 1.0656914710998535, 1.0650811195373535, 1.0644745826721191, 1.0638718605041504, 1.0632727146148682, 1.0626780986785889, 1.0620863437652588, 1.061497688293457, 1.060912847518921, 1.060331106185913, 1.0597517490386963, 1.0591742992401123, 1.058600902557373, 1.0580291748046875, 1.0574593544006348, 1.0568912029266357, 1.0563263893127441, 1.055762529373169, 1.0552008152008057, 1.0546393394470215, 1.0540804862976074, 1.0532622337341309, 1.0527057647705078, 1.0521509647369385, 1.0515961647033691, 1.051041603088379, 1.050490140914917, 1.0499391555786133, 1.049389362335205, 1.0488409996032715, 1.0482945442199707, 1.0477502346038818, 1.0472073554992676, 1.0466670989990234, 1.0461275577545166, 1.0455925464630127, 1.0450584888458252, 1.0445280075073242, 1.0440006256103516, 1.043475866317749, 1.0410020351409912, 1.0407443046569824, 1.040231704711914, 1.0397212505340576, 1.0392119884490967, 1.0387053489685059, 1.0382018089294434, 1.0377027988433838, 1.0372076034545898, 1.0367169380187988, 1.036231517791748, 1.0358483791351318, 1.0351974964141846, 1.0347297191619873, 1.0342662334442139, 1.0338282585144043, 1.033372402191162, 1.0329205989837646, 1.0324735641479492, 1.0320324897766113, 1.0315966606140137, 1.031165361404419, 1.0307393074035645, 1.0303189754486084, 1.0299043655395508, 1.0295734405517578, 1.0291690826416016, 1.0286905765533447, 1.0282988548278809, 1.0279109477996826, 1.0272741317749023, 1.0268959999084473, 1.0265228748321533, 1.0261549949645996, 1.025791883468628, 1.0254337787628174, 1.025080919265747, 1.0247325897216797, 1.0238800048828125, 1.0235254764556885, 1.0231196880340576], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002882519504055381, -0.000709310348611325, -7.741968147456646e-05), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005874543450772762, 0.004115949850529432, -0.0008147392072714865), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0005242471816018224, 0.004506187047809362, 0.0007912061992101371), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004158949013799429, -0.010650009848177433, -0.0026110124308615923), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01146793458610773, 0.0007872190908528864, 0.0017045902786776423), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002034785458818078, 0.007482384331524372, -0.0015302641550078988), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0011179569410160184, 0.003023823956027627, 0.0030431412160396576), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0029729045927524567, 0.006302275694906712, 0.004564354196190834), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0010859661269932985, 0.005804808810353279, -0.001546973828226328), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.10332541912794113, 0.07532522082328796, -0.0023815392050892115), (-0.01747613586485386, 0.010196138173341751, 0.00016298709670081735)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=21, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4596741199493408, 2.628612518310547, 23.096649169921875), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.013547072187066078, 5.109078884124756, 23.028697967529297), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.395027995109558, 7.473274230957031, 23.0659236907959), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.252925872802734, 2.585759401321411, 23.056272506713867), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.842639923095703, 5.0417399406433105, 23.075151443481445), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4245185852050781, 7.476876735687256, 23.06880760192871), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.046574115753174, 2.6397793292999268, 23.11351776123047), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.646197319030762, 5.043934345245361, 23.075096130371094), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.239852428436279, 7.409865379333496, 23.015207290649414), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (0.05306154489517212, 2.560699701309204, 24.769073486328125), (0.1008700504899025, 3.463005304336548, 25.163105010986328)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.092827320098877, energy_trajectory=[1.311086654663086, 1.301612138748169, 1.2930035591125488, 1.2847833633422852, 1.2768175601959229, 1.2690677642822266, 1.261509895324707, 1.2544848918914795, 1.2472763061523438, 1.2403788566589355, 1.2335021495819092, 1.2267048358917236, 1.2201390266418457, 1.2138004302978516, 1.2077133655548096, 1.2019588947296143, 1.1964707374572754, 1.1918182373046875, 1.1867313385009766, 1.1820805072784424, 1.1775410175323486, 1.1732134819030762, 1.1690881252288818, 1.165140151977539, 1.1613988876342773, 1.1578409671783447, 1.1545562744140625, 1.1513879299163818, 1.1483464241027832, 1.1455814838409424, 1.1427092552185059, 1.1401357650756836, 1.1377038955688477, 1.1354758739471436, 1.1333143711090088, 1.1314268112182617, 1.1295151710510254, 1.1277203559875488, 1.1259498596191406, 1.1241004467010498, 1.1226274967193604, 1.1212542057037354, 1.119974136352539, 1.1187851428985596, 1.1176824569702148, 1.1166596412658691, 1.1157126426696777, 1.1148457527160645, 1.1140356063842773, 1.1132864952087402, 1.1125969886779785, 1.1119616031646729, 1.111375093460083, 1.110884666442871, 1.1103806495666504, 1.109912395477295, 1.1094775199890137, 1.10906982421875, 1.1086177825927734, 1.108257532119751, 1.107861042022705, 1.1075327396392822, 1.1072165966033936, 1.1069107055664062, 1.1066148281097412, 1.1063270568847656, 1.1060466766357422, 1.105771541595459, 1.1053922176361084, 1.1051325798034668, 1.104879379272461, 1.1044855117797852, 1.1042487621307373, 1.103883981704712, 1.1036365032196045, 1.103430986404419, 1.1032371520996094, 1.1030545234680176, 1.1028850078582764, 1.1027274131774902, 1.10258150100708, 1.102447509765625, 1.1023247241973877, 1.1022136211395264, 1.101597547531128, 1.101161241531372, 1.1010732650756836, 1.1009938716888428, 1.1010360717773438, 1.1009790897369385, 1.1008405685424805, 1.100795030593872, 1.100754737854004, 1.1007192134857178, 1.1006879806518555, 1.1006615161895752, 1.1006383895874023, 1.1006183624267578, 1.100600242614746, 1.1003611087799072, 1.1003460884094238, 1.1003336906433105, 1.1003241539001465, 1.1003179550170898, 1.1003155708312988, 1.1003162860870361, 1.1003186702728271, 1.1003236770629883, 1.100330114364624, 1.100339412689209, 1.1002545356750488, 1.1002507209777832, 1.100266695022583, 1.100348711013794, 1.1003682613372803, 1.100039005279541, 1.100057601928711, 1.1000778675079346, 1.1000983715057373, 1.1001200675964355, 1.1001410484313965, 1.1001629829406738, 1.100184440612793, 1.1002051830291748, 1.1002252101898193, 1.1002445220947266, 1.100261926651001, 1.1002788543701172, 1.1002931594848633, 1.1003038883209229, 1.1003131866455078, 1.1002752780914307, 1.1002764701843262, 1.1002748012542725, 1.100269079208374, 1.10025954246521, 1.1002471446990967, 1.100231647491455, 1.100212574005127, 1.1001887321472168, 1.099961757659912, 1.0999398231506348, 1.0999090671539307, 1.099874496459961, 1.0998344421386719, 1.0997891426086426, 1.0995326042175293, 1.0994799137115479, 1.0994203090667725, 1.099355936050415, 1.0992867946624756, 1.0992581844329834, 1.099179744720459, 1.099097490310669, 1.0990092754364014, 1.0989160537719727, 1.0988163948059082, 1.0987071990966797, 1.098592758178711, 1.0984725952148438, 1.0983469486236572, 1.0982162952423096, 1.098081111907959, 1.0979409217834473, 1.0977964401245117, 1.0974657535552979, 1.097306489944458, 1.0969903469085693, 1.0967881679534912, 1.0966098308563232, 1.0964248180389404, 1.0962369441986084, 1.0960438251495361, 1.095846176147461, 1.0960204601287842, 1.0958137512207031, 1.0956013202667236, 1.0953834056854248, 1.0953001976013184, 1.0949089527130127, 1.0945968627929688, 1.0943610668182373, 1.0941202640533447, 1.0938758850097656, 1.0935144424438477, 1.0932626724243164, 1.0930068492889404, 1.0927462577819824, 1.092482566833496, 1.0922152996063232, 1.0919439792633057, 1.0916688442230225, 1.0913901329040527, 1.0913348197937012, 1.0910451412200928, 1.0907533168792725, 1.0904569625854492, 1.0901598930358887, 1.0900070667266846, 1.0895884037017822, 1.0892865657806396, 1.0889828205108643, 1.0886788368225098, 1.0883731842041016, 1.088066816329956, 1.0877585411071777, 1.0874505043029785, 1.0871407985687256, 1.0868308544158936, 1.086083173751831, 1.085775375366211, 1.0854687690734863, 1.0851621627807617, 1.084855556488037, 1.0845496654510498, 1.0841362476348877, 1.0838305950164795, 1.0835258960723877, 1.0832228660583496, 1.0829200744628906, 1.0826191902160645, 1.082319974899292, 1.082021951675415, 1.0817275047302246, 1.0814354419708252, 1.0811450481414795, 1.0808587074279785, 1.0805749893188477, 1.0802958011627197, 1.0800201892852783, 1.0797488689422607, 1.079209566116333, 1.079390048980713, 1.0791339874267578, 1.0788862705230713, 1.0786442756652832, 1.0784101486206055, 1.0781848430633545, 1.0779674053192139, 1.0777599811553955, 1.077483892440796, 1.077155351638794, 1.076977014541626, 1.076810598373413, 1.0766565799713135, 1.0765156745910645, 1.0763890743255615, 1.0762763023376465, 1.076178789138794, 1.0760958194732666, 1.0760281085968018, 1.076002836227417, 1.076023817062378, 1.076005220413208, 1.0759727954864502, 1.0759859085083008, 1.076014518737793, 1.0760598182678223, 1.0761206150054932, 1.0764579772949219, 1.0765516757965088, 1.076660394668579, 1.0768852233886719, 1.0770223140716553, 1.0771760940551758, 1.0775821208953857, 1.0777640342712402, 1.077960729598999, 1.0781724452972412, 1.0783989429473877, 1.0786397457122803, 1.078895092010498, 1.0791642665863037, 1.0794477462768555, 1.0797464847564697, 1.0800583362579346, 1.080385446548462, 1.0807263851165771, 1.0810821056365967, 1.0817182064056396, 1.0820999145507812, 1.0824949741363525, 1.0829048156738281, 1.0830004215240479, 1.0834431648254395, 1.0839009284973145, 1.0843729972839355, 1.0849413871765137, 1.085442066192627, 1.0860724449157715, 1.0866026878356934, 1.087148904800415, 1.0880274772644043, 1.0885334014892578, 1.0891218185424805, 1.0897250175476074, 1.0907204151153564, 1.0913467407226562, 1.091984510421753, 1.092827320098877], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.018413448706269264, 0.011863382533192635, 0.02233399823307991), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006787148769944906, -0.00486324168741703, -0.0010693279327824712), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009496425278484821, -0.012485543265938759, 0.009854991920292377), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012725777924060822, -0.017677243798971176, 0.00859511736780405), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006728237494826317, -0.01504103746265173, 0.029975738376379013), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00012546766083687544, -0.014552373439073563, 0.006345122586935759), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04189906269311905, -0.011083628050982952, 0.008173900656402111), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001323340111412108, -0.017734665423631668, 0.029982728883624077), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0010798267321661115, -0.05989820510149002, -0.019324440509080887), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02449299395084381, -0.08803339302539825, -0.0483044870197773), (-0.07355198264122009, -0.07229390740394592, -0.062168486416339874)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=22, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.507343053817749, 2.3605122566223145, 23.096559524536133), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.013618171215057373, 4.896828651428223, 23.00833511352539), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3223824501037598, 7.289071559906006, 23.077388763427734), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.381603240966797, 2.367354393005371, 23.01633071899414), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.9943556785583496, 4.864834308624268, 23.068889617919922), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4986807107925415, 7.287306785583496, 23.06699562072754), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.138003349304199, 2.410966157913208, 23.06865882873535), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.750567436218262, 4.85800838470459, 23.080434799194336), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.316221714019775, 7.305749416351318, 23.057024002075195), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (2.2402331829071045, 3.656773328781128, 24.70599365234375), (1.4824323654174805, 4.14522647857666, 25.09787940979004)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0630340576171875, energy_trajectory=[1.600996494293213, 1.5930285453796387, 1.5852351188659668, 1.5770552158355713, 1.5691449642181396, 1.5616400241851807, 1.5542848110198975, 1.5471765995025635, 1.5402870178222656, 1.5335943698883057, 1.527054786682129, 1.5206077098846436, 1.5144116878509521, 1.5083553791046143, 1.5024263858795166, 1.4966151714324951, 1.490915060043335, 1.4852714538574219, 1.4799203872680664, 1.474536657333374, 1.469214916229248, 1.4639785289764404, 1.4585318565368652, 1.4534523487091064, 1.4484477043151855, 1.4435107707977295, 1.438642978668213, 1.43373441696167, 1.4289984703063965, 1.4243245124816895, 1.4198639392852783, 1.4153189659118652, 1.4108290672302246, 1.4064514636993408, 1.4020817279815674, 1.3978562355041504, 1.3935797214508057, 1.3893542289733887, 1.3851783275604248, 1.3810536861419678, 1.3769776821136475, 1.3728585243225098, 1.3688831329345703, 1.3647425174713135, 1.3608672618865967, 1.357039451599121, 1.3532557487487793, 1.3495302200317383, 1.3458540439605713, 1.3422267436981201, 1.3386499881744385, 1.3351225852966309, 1.3320541381835938, 1.3286268711090088, 1.325249433517456, 1.3219223022460938, 1.3186452388763428, 1.31569504737854, 1.3125154972076416, 1.3091228008270264, 1.3060448169708252, 1.3030149936676025, 1.3000335693359375, 1.297098159790039, 1.2941670417785645, 1.291325569152832, 1.288527488708496, 1.285773754119873, 1.2830619812011719, 1.2803895473480225, 1.277756929397583, 1.2751617431640625, 1.272603988647461, 1.269913911819458, 1.2674305438995361, 1.264981746673584, 1.262566328048706, 1.2601838111877441, 1.25783371925354, 1.2555134296417236, 1.253225326538086, 1.250967025756836, 1.2487387657165527, 1.2465417385101318, 1.2443716526031494, 1.2422306537628174, 1.240119457244873, 1.238034725189209, 1.2359776496887207, 1.233842134475708, 1.2318367958068848, 1.2298579216003418, 1.2279057502746582, 1.2259790897369385, 1.2240793704986572, 1.2222044467926025, 1.2203540802001953, 1.2185285091400146, 1.2167274951934814, 1.2149503231048584, 1.2131969928741455, 1.2117669582366943, 1.210059404373169, 1.2083690166473389, 1.206780195236206, 1.2051353454589844, 1.2035109996795654, 1.2020044326782227, 1.2004199028015137, 1.198854684829712, 1.1973092555999756, 1.1957814693450928, 1.194272518157959, 1.1927804946899414, 1.1913049221038818, 1.1898465156555176, 1.1884045600891113, 1.1868867874145508, 1.1854736804962158, 1.1840755939483643, 1.182692527770996, 1.1813230514526367, 1.1799676418304443, 1.1786260604858398, 1.1772987842559814, 1.1759834289550781, 1.1746833324432373, 1.1733942031860352, 1.1720430850982666, 1.1707792282104492, 1.1695284843444824, 1.1682381629943848, 1.166764497756958, 1.1654250621795654, 1.1642210483551025, 1.1624722480773926, 1.1612915992736816, 1.1601228713989258, 1.1589643955230713, 1.15781831741333, 1.1566832065582275, 1.1555585861206055, 1.1544451713562012, 1.1531195640563965, 1.1521515846252441, 1.1510686874389648, 1.1499943733215332, 1.1489310264587402, 1.1483020782470703, 1.1472585201263428, 1.146224021911621, 1.145200490951538, 1.1441214084625244, 1.1431174278259277, 1.1421244144439697, 1.1411776542663574, 1.1402041912078857, 1.1392390727996826, 1.1382856369018555, 1.1373417377471924, 1.1364076137542725, 1.135483980178833, 1.1345696449279785, 1.1336638927459717, 1.132768154144287, 1.1318814754486084, 1.1310038566589355, 1.1301331520080566, 1.1292719841003418, 1.1284193992614746, 1.1275744438171387, 1.1267364025115967, 1.1259074211120605, 1.1248564720153809, 1.1237750053405762, 1.122673749923706, 1.121877670288086, 1.121089220046997, 1.1203069686889648, 1.1195309162139893, 1.118762731552124, 1.1180012226104736, 1.1171331405639648, 1.116386890411377, 1.115647554397583, 1.1149156093597412, 1.1141939163208008, 1.113105058670044, 1.1124727725982666, 1.1117761135101318, 1.1110904216766357, 1.1103758811950684, 1.1097092628479004, 1.1089930534362793, 1.1081442832946777, 1.107511281967163, 1.1068902015686035, 1.1062829494476318, 1.105605125427246, 1.105149507522583, 1.1045794486999512, 1.1029081344604492, 1.10231351852417, 1.1016120910644531, 1.101090669631958, 1.1005804538726807, 1.099958896636963, 1.099470615386963, 1.0989904403686523, 1.0990490913391113, 1.0985894203186035, 1.0981342792510986, 1.0976848602294922, 1.0972402095794678, 1.0967979431152344, 1.096566915512085, 1.0961291790008545, 1.0956928730010986, 1.0952608585357666, 1.0942909717559814, 1.093860387802124, 1.0934298038482666, 1.093003511428833, 1.0925767421722412, 1.0921518802642822, 1.0917284488677979, 1.0912859439849854, 1.09086275100708, 1.0904409885406494, 1.090019702911377, 1.0895979404449463, 1.0891785621643066, 1.088758945465088, 1.088341474533081, 1.0878396034240723, 1.087386131286621, 1.0868396759033203, 1.0864231586456299, 1.0860075950622559, 1.0855927467346191, 1.0851781368255615, 1.084707498550415, 1.0842947959899902, 1.083881139755249, 1.083467721939087, 1.083258867263794, 1.0828444957733154, 1.082430362701416, 1.0820157527923584, 1.0814743041992188, 1.0810611248016357, 1.080648422241211, 1.0802350044250488, 1.0797371864318848, 1.0793254375457764, 1.0805294513702393, 1.0801138877868652, 1.0796966552734375, 1.0792794227600098, 1.0788629055023193, 1.0784459114074707, 1.0780305862426758, 1.0766701698303223, 1.0762608051300049, 1.0758485794067383, 1.0754375457763672, 1.0750257968902588, 1.074615716934204, 1.0744240283966064, 1.07401442527771, 1.0736079216003418, 1.073152780532837, 1.0727458000183105, 1.0723390579223633, 1.0724318027496338, 1.0720252990722656, 1.0716207027435303, 1.071218729019165, 1.0708308219909668, 1.070239782333374, 1.0698904991149902, 1.069500207901001, 1.0691120624542236, 1.0687270164489746, 1.0679435729980469, 1.0678040981292725, 1.0675041675567627, 1.0671334266662598, 1.066765546798706, 1.0664963722229004, 1.0661380290985107, 1.065783977508545, 1.0654349327087402, 1.064955234527588, 1.0646190643310547, 1.0642881393432617, 1.0639634132385254, 1.0636451244354248, 1.063335657119751, 1.0630340576171875], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014957995153963566, -0.019902348518371582, 0.0016826888313516974), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.018876969814300537, 0.0011455308413133025, -0.006103375926613808), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001179341459646821, -0.007548763882368803, 0.007029637694358826), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0010259418049827218, 0.0005883200792595744, 0.007232810836285353), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03601152077317238, 0.0058119334280490875, 0.0439593568444252), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002993196016177535, 0.009596152231097221, 0.004631711635738611), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001964596565812826, -0.007165330462157726, 0.004118379671126604), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009231284260749817, -0.005658335518091917, -0.0006750525208190084), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0007821976323612034, -0.009835300035774708, 0.0058094714768230915), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002236176049336791, 0.013784268870949745, 0.05220266059041023), (-0.07790401577949524, -0.015420214273035526, -0.014333211816847324)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=23, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3901809453964233, 2.4617748260498047, 23.061731338500977), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.00313581177033484, 4.937078952789307, 23.101282119750977), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4289369583129883, 7.39936637878418, 23.03330421447754), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.2071757316589355, 2.4536285400390625, 23.053773880004883), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.785855770111084, 4.902868747711182, 23.06119155883789), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3877898454666138, 7.347818851470947, 23.088197708129883), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.0371503829956055, 2.3621301651000977, 22.994651794433594), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.5583391189575195, 4.95748233795166, 23.084741592407227), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.203273296356201, 7.356385231018066, 23.085237503051758), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-1.6082446575164795, 4.602663040161133, 24.731639862060547), (-1.6430705785751343, 5.381165504455566, 25.32718276977539)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.128176212310791, energy_trajectory=[1.6874761581420898, 1.671640396118164, 1.660236120223999, 1.649296522140503, 1.6386933326721191, 1.6283609867095947, 1.6187536716461182, 1.6097278594970703, 1.601250171661377, 1.593235969543457, 1.5856218338012695, 1.5783507823944092, 1.5713815689086914, 1.5649049282073975, 1.5584361553192139, 1.5521776676177979, 1.546112060546875, 1.5402185916900635, 1.5344865322113037, 1.528975486755371, 1.5235233306884766, 1.5182011127471924, 1.5129973888397217, 1.507906198501587, 1.5029215812683105, 1.4980366230010986, 1.4932456016540527, 1.488544225692749, 1.4839270114898682, 1.4793915748596191, 1.4749324321746826, 1.470546007156372, 1.466230869293213, 1.4619834423065186, 1.4578008651733398, 1.4534523487091064, 1.4493939876556396, 1.4453942775726318, 1.4414525032043457, 1.4375669956207275, 1.4337341785430908, 1.4299554824829102, 1.4262278079986572, 1.4225521087646484, 1.4189257621765137, 1.4153492450714111, 1.4118220806121826, 1.4085252285003662, 1.4050931930541992, 1.4017102718353271, 1.3983733654022217, 1.3950834274291992, 1.3918416500091553, 1.3886463642120361, 1.3856008052825928, 1.3824968338012695, 1.379439353942871, 1.3764293193817139, 1.3734652996063232, 1.370546579360962, 1.3676729202270508, 1.3648431301116943, 1.3620562553405762, 1.3594110012054443, 1.3565514087677002, 1.3538854122161865, 1.3512580394744873, 1.3486673831939697, 1.3461122512817383, 1.3435914516448975, 1.3411026000976562, 1.338646411895752, 1.3362205028533936, 1.3338241577148438, 1.3314573764801025, 1.329118251800537, 1.3263843059539795, 1.3240976333618164, 1.3218398094177246, 1.319608211517334, 1.3174035549163818, 1.3152251243591309, 1.313072681427002, 1.3109462261199951, 1.308844804763794, 1.3067684173583984, 1.3047187328338623, 1.3026940822601318, 1.3006932735443115, 1.2985641956329346, 1.296614170074463, 1.2942979335784912, 1.2923924922943115, 1.290355920791626, 1.288496971130371, 1.2866616249084473, 1.2848484516143799, 1.2830579280853271, 1.2812895774841309, 1.2795436382293701, 1.277820110321045, 1.2761178016662598, 1.2744371891021729, 1.2727782726287842, 1.2711398601531982, 1.2695229053497314, 1.267925500869751, 1.2663490772247314, 1.2647926807403564, 1.263277530670166, 1.2617592811584473, 1.2602603435516357, 1.2587809562683105, 1.257319688796997, 1.2558772563934326, 1.254453420639038, 1.253046989440918, 1.2516591548919678, 1.250288963317871, 1.248936653137207, 1.247600793838501, 1.2462825775146484, 1.244981288909912, 1.2436959743499756, 1.242427110671997, 1.2411754131317139, 1.239938735961914, 1.2386770248413086, 1.2374725341796875, 1.2362825870513916, 1.235107660293579, 1.2338473796844482, 1.2327044010162354, 1.2315750122070312, 1.2306079864501953, 1.2295067310333252, 1.2284190654754639, 1.2273454666137695, 1.2262847423553467, 1.225236177444458, 1.224200963973999, 1.2231776714324951, 1.2221665382385254, 1.221167802810669, 1.2201802730560303, 1.2192046642303467, 1.2182402610778809, 1.217287302017212, 1.2163591384887695, 1.2154278755187988, 1.214508295059204, 1.2137672901153564, 1.2127373218536377, 1.2118480205535889, 1.210968255996704, 1.2100985050201416, 1.2092382907867432, 1.2083864212036133, 1.2075450420379639, 1.206712007522583, 1.205887794494629, 1.2050726413726807, 1.2042655944824219, 1.2034668922424316, 1.20267653465271, 1.2018935680389404, 1.2011182308197021, 1.2003505229949951, 1.1995904445648193, 1.1988372802734375, 1.1980907917022705, 1.1973507404327393, 1.1966173648834229, 1.1958909034729004, 1.19516921043396, 1.1944539546966553, 1.1937255859375, 1.1930201053619385, 1.1923198699951172, 1.19154953956604, 1.1906750202178955, 1.1898846626281738, 1.1892073154449463, 1.1885340213775635, 1.1878652572631836, 1.1872012615203857, 1.1865408420562744, 1.1858854293823242, 1.1852343082427979, 1.184586524963379, 1.183943748474121, 1.1833035945892334, 1.1826679706573486, 1.1819698810577393, 1.1813406944274902, 1.1804695129394531, 1.179847240447998, 1.1792283058166504, 1.178612470626831, 1.1780002117156982, 1.1773900985717773, 1.1767833232879639, 1.176180124282837, 1.1755788326263428, 1.1749804019927979, 1.1743841171264648, 1.1737902164459229, 1.1733498573303223, 1.1729583740234375, 1.1726479530334473, 1.1720561981201172, 1.1714673042297363, 1.1708791255950928, 1.1702930927276611, 1.1697092056274414, 1.1691267490386963, 1.168546199798584, 1.1679677963256836, 1.167391061782837, 1.1668164730072021, 1.166243314743042, 1.1656713485717773, 1.164954423904419, 1.164388656616211, 1.1638243198394775, 1.1632623672485352, 1.1627025604248047, 1.1621451377868652, 1.1615891456604004, 1.161036491394043, 1.1604905128479004, 1.159942388534546, 1.1593964099884033, 1.1588542461395264, 1.1583144664764404, 1.1577770709991455, 1.1572418212890625, 1.1567091941833496, 1.1561801433563232, 1.155651569366455, 1.1551265716552734, 1.1546037197113037, 1.1540837287902832, 1.1535658836364746, 1.1530497074127197, 1.1525373458862305, 1.1520264148712158, 1.1515185832977295, 1.1510119438171387, 1.1505086421966553, 1.1500074863433838, 1.1500999927520752, 1.1496024131774902, 1.1491060256958008, 1.1486122608184814, 1.1481201648712158, 1.1476306915283203, 1.1471426486968994, 1.146655797958374, 1.1461713314056396, 1.145688533782959, 1.145207405090332, 1.144728422164917, 1.1442506313323975, 1.1437735557556152, 1.1432993412017822, 1.1428260803222656, 1.1423537731170654, 1.1417388916015625, 1.1416690349578857, 1.141204595565796, 1.1407403945922852, 1.1402771472930908, 1.1398162841796875, 1.1393558979034424, 1.1388969421386719, 1.1384391784667969, 1.1379826068878174, 1.1375274658203125, 1.137073040008545, 1.136620044708252, 1.1361677646636963, 1.1357166767120361, 1.135267734527588, 1.1348185539245605, 1.1343708038330078, 1.1339232921600342, 1.133476972579956, 1.1330323219299316, 1.1325876712799072, 1.1321451663970947, 1.1317033767700195, 1.1312627792358398, 1.1308224201202393, 1.1303837299346924, 1.1299464702606201, 1.129509449005127, 1.1290743350982666, 1.128607988357544, 1.128176212310791], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00583549402654171, 0.0021900495048612356, -0.0021628839895129204), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013846407644450665, 0.014985060319304466, -0.0019177901558578014), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0001655744417803362, 0.017350347712635994, -0.00508772162720561), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0025577908381819725, 0.006938486360013485, 0.0020648501813411713), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0058064209297299385, 0.00843573734164238, -0.004153188783675432), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0035574317444115877, 0.012516248971223831, -0.009021983481943607), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003643462434411049, -0.001959901535883546, -0.003882993245497346), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0033890195190906525, 0.004026269540190697, -0.008775983937084675), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0046913460828363895, 0.012029079720377922, -0.007280009798705578), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.06999580562114716, 0.05707074701786041, -0.0020868168212473392), (0.041476231068372726, 0.11866691708564758, -0.0637669488787651)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=24, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.325657606124878, 2.409067392349243, 23.068819046020508), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.02128145843744278, 4.873643398284912, 23.02440071105957), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4832391738891602, 7.278948783874512, 23.066761016845703), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.064323425292969, 2.3451614379882812, 22.998472213745117), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.73421049118042, 4.854500770568848, 23.07451057434082), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3394720554351807, 7.2793731689453125, 23.076528549194336), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.950159549713135, 2.365750551223755, 23.111433029174805), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.506082534790039, 4.851832389831543, 23.098724365234375), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.163100242614746, 7.301348686218262, 23.055742263793945), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (6.069842338562012, 3.6069443225860596, 24.761577606201172), (5.219133377075195, 3.1306145191192627, 24.95309829711914)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.1682541370391846, energy_trajectory=[2.4557337760925293, 2.4335215091705322, 2.4142346382141113, 2.3969767093658447, 2.3806536197662354, 2.3648393154144287, 2.34932541847229, 2.333961009979248, 2.318739175796509, 2.3038458824157715, 2.2896690368652344, 2.2762629985809326, 2.2634940147399902, 2.2511110305786133, 2.2390408515930176, 2.2277307510375977, 2.216813087463379, 2.2062995433807373, 2.1961350440979004, 2.1862881183624268, 2.176739454269409, 2.1674625873565674, 2.1585514545440674, 2.149768352508545, 2.1418561935424805, 2.1339895725250244, 2.125847339630127, 2.11787748336792, 2.109642744064331, 2.101968288421631, 2.0944650173187256, 2.0870821475982666, 2.0795047283172607, 2.0723650455474854, 2.0653369426727295, 2.058412790298462, 2.051457643508911, 2.044720411300659, 2.038074493408203, 2.031567335128784, 2.025078296661377, 2.018636465072632, 2.012432813644409, 2.00614070892334, 1.9999079704284668, 1.9937314987182617, 1.987612009048462, 1.981492519378662, 1.9752094745635986, 1.9690380096435547, 1.9633049964904785, 1.9574458599090576, 1.9515480995178223, 1.9457488059997559, 1.939986228942871, 1.9341063499450684, 1.9284155368804932, 1.9230074882507324, 1.9173688888549805, 1.9117710590362549, 1.9062061309814453, 1.9006702899932861, 1.8952364921569824, 1.8897559642791748, 1.8843095302581787, 1.878894567489624, 1.8735146522521973, 1.8681657314300537, 1.8628499507904053, 1.8575692176818848, 1.8523178100585938, 1.8469421863555908, 1.841750144958496, 1.836587905883789, 1.8314502239227295, 1.8263356685638428, 1.8212432861328125, 1.8161706924438477, 1.8111095428466797, 1.8060634136199951, 1.8010311126708984, 1.796008586883545, 1.7909953594207764, 1.7859911918640137, 1.7809913158416748, 1.7759983539581299, 1.7710111141204834, 1.7660303115844727, 1.7610554695129395, 1.7560844421386719, 1.7511200904846191, 1.7461605072021484, 1.7410082817077637, 1.73606538772583, 1.731130838394165, 1.7262067794799805, 1.7214312553405762, 1.7165358066558838, 1.7117834091186523, 1.7063941955566406, 1.7015457153320312, 1.696716547012329, 1.691910982131958, 1.6871287822723389, 1.682370901107788, 1.6776387691497803, 1.6729321479797363, 1.6682510375976562, 1.6635961532592773, 1.6587543487548828, 1.654151201248169, 1.6495749950408936, 1.6450271606445312, 1.640507698059082, 1.6360161304473877, 1.6315479278564453, 1.6270606517791748, 1.6226415634155273, 1.6182496547698975, 1.613882303237915, 1.6095397472381592, 1.6052196025848389, 1.6009225845336914, 1.596649169921875, 1.5923962593078613, 1.588165283203125, 1.5839545726776123, 1.5797650814056396, 1.575638771057129, 1.5714938640594482, 1.5673658847808838, 1.5632600784301758, 1.5591905117034912, 1.5551583766937256, 1.5508344173431396, 1.546865463256836, 1.542931318283081, 1.5390417575836182, 1.535170555114746, 1.5313308238983154, 1.527522087097168, 1.523742437362671, 1.5199928283691406, 1.5162711143493652, 1.5125892162322998, 1.5089242458343506, 1.5052886009216309, 1.501680850982666, 1.4981002807617188, 1.4945480823516846, 1.4910228252410889, 1.4876205921173096, 1.4841539859771729, 1.4804577827453613, 1.477043628692627, 1.4736568927764893, 1.470296859741211, 1.4669642448425293, 1.4636595249176025, 1.4603796005249023, 1.4571278095245361, 1.4539005756378174, 1.4507014751434326, 1.4475278854370117, 1.4443800449371338, 1.441258192062378, 1.4381601810455322, 1.4350874423980713, 1.4320399761199951, 1.4291095733642578, 1.4257915019989014, 1.4228150844573975, 1.4198617935180664, 1.4169323444366455, 1.4140253067016602, 1.4111402034759521, 1.4082770347595215, 1.4052772521972656, 1.4024591445922852, 1.399660348892212, 1.3968827724456787, 1.3942177295684814, 1.3914766311645508, 1.388415813446045, 1.3857192993164062, 1.3830420970916748, 1.380385160446167, 1.3777437210083008, 1.3751208782196045, 1.3725152015686035, 1.3697552680969238, 1.3671884536743164, 1.364635705947876, 1.3620998859405518, 1.3595795631408691, 1.3572299480438232, 1.354738712310791, 1.3522624969482422, 1.349801778793335, 1.347271203994751, 1.3448412418365479, 1.3424246311187744, 1.3400216102600098, 1.3376331329345703, 1.3352582454681396, 1.332897663116455, 1.3305504322052002, 1.328216314315796, 1.3258967399597168, 1.3235890865325928, 1.3212954998016357, 1.319014549255371, 1.3167462348937988, 1.3144915103912354, 1.3122498989105225, 1.310183048248291, 1.3079626560211182, 1.3057584762573242, 1.3035662174224854, 1.3013873100280762, 1.299220085144043, 1.2970330715179443, 1.2948901653289795, 1.2927615642547607, 1.290644645690918, 1.2885394096374512, 1.2863831520080566, 1.284301996231079, 1.2822351455688477, 1.280179738998413, 1.27813720703125, 1.2762060165405273, 1.2741889953613281, 1.2721970081329346, 1.270113468170166, 1.268134355545044, 1.2661678791046143, 1.2642505168914795, 1.2623100280761719, 1.2603814601898193, 1.258465051651001, 1.2565617561340332, 1.2546710968017578, 1.252793788909912, 1.2509286403656006, 1.249077558517456, 1.2472028732299805, 1.245378017425537, 1.2435660362243652, 1.2417666912078857, 1.239980936050415, 1.2382075786590576, 1.2363619804382324, 1.2346153259277344, 1.2328803539276123, 1.23115873336792, 1.22944974899292, 1.227752923965454, 1.226069450378418, 1.2243964672088623, 1.2227916717529297, 1.2211430072784424, 1.2195067405700684, 1.2178831100463867, 1.216271162033081, 1.214839220046997, 1.2132515907287598, 1.2116765975952148, 1.2101123332977295, 1.2085602283477783, 1.2070198059082031, 1.205491542816162, 1.203974723815918, 1.2024688720703125, 1.200974464416504, 1.1994922161102295, 1.1982977390289307, 1.1968357563018799, 1.1953864097595215, 1.1939477920532227, 1.192420482635498, 1.191004991531372, 1.1895999908447266, 1.1882073879241943, 1.1868247985839844, 1.1854534149169922, 1.1840920448303223, 1.182969331741333, 1.1816320419311523, 1.1803054809570312, 1.1789886951446533, 1.177682638168335, 1.176591157913208, 1.1753032207489014, 1.1740257740020752, 1.1727604866027832, 1.1716444492340088, 1.1703991889953613, 1.169478416442871, 1.1682541370391846], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.026337334886193275, -0.016771353781223297, 0.0007824036874808371), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01567170023918152, -0.006089224014431238, -0.018951447680592537), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.030884280800819397, -0.005423706956207752, 0.0014769354602321982), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012565183453261852, 0.005550510715693235, 0.03507930785417557), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03557996824383736, -0.021173670887947083, 0.011214078404009342), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.040333278477191925, -0.015456171706318855, 0.005998152308166027), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.041002579033374786, -0.027227740734815598, 0.0026748902164399624), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.045847970992326736, 0.002919343998655677, -0.014986547641456127), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03778235614299774, -0.013334543444216251, -0.002287407172843814), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.20863358676433563, 0.060622263699769974, -0.02574026957154274), (0.23666901886463165, 0.09624887257814407, 0.11617326736450195)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=25, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.381819248199463, 2.446298122406006, 23.0576171875), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.020840877667069435, 4.898970603942871, 23.04987907409668), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.445767879486084, 7.331169605255127, 23.066377639770508), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.165635585784912, 2.44376802444458, 23.034168243408203), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.7864725589752197, 4.889041423797607, 23.072357177734375), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3703311681747437, 7.311431407928467, 23.046871185302734), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.0040693283081055, 2.451817512512207, 23.166255950927734), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.593360900878906, 4.913740158081055, 23.04328155517578), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.200893402099609, 7.326010704040527, 23.05207633972168), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (6.7063398361206055, 2.570389747619629, 25.145992279052734), (7.452829837799072, 3.075469493865967, 25.530563354492188)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0142743587493896, energy_trajectory=[1.3932762145996094, 1.3871536254882812, 1.3800055980682373, 1.3731284141540527, 1.366476058959961, 1.3605296611785889, 1.354154109954834, 1.348323106765747, 1.342416763305664, 1.336653232574463, 1.3312318325042725, 1.3259549140930176, 1.32084321975708, 1.3159630298614502, 1.311255931854248, 1.3070166110992432, 1.3026123046875, 1.2983434200286865, 1.2942006587982178, 1.290174961090088, 1.2862603664398193, 1.2824513912200928, 1.2788820266723633, 1.2752649784088135, 1.271737813949585, 1.268296241760254, 1.2650318145751953, 1.2617499828338623, 1.2587425708770752, 1.255605936050415, 1.252540111541748, 1.249452829360962, 1.2465169429779053, 1.2436442375183105, 1.240830659866333, 1.2380757331848145, 1.2353763580322266, 1.2327003479003906, 1.229992151260376, 1.2276551723480225, 1.2251663208007812, 1.2227234840393066, 1.2203381061553955, 1.2180116176605225, 1.2157409191131592, 1.213524580001831, 1.2113592624664307, 1.2092597484588623, 1.2072279453277588, 1.2052087783813477, 1.2032337188720703, 1.2013006210327148, 1.1993412971496582, 1.1969761848449707, 1.1951634883880615, 1.1933858394622803, 1.1916418075561523, 1.1899328231811523, 1.1882555484771729, 1.1866087913513184, 1.184992790222168, 1.1834206581115723, 1.1818616390228271, 1.1803302764892578, 1.178826093673706, 1.1773462295532227, 1.1758918762207031, 1.1744599342346191, 1.173050880432129, 1.1716632843017578, 1.1702961921691895, 1.168949842453003, 1.1676232814788818, 1.1661591529846191, 1.1648690700531006, 1.1635968685150146, 1.1623420715332031, 1.1611039638519287, 1.1598823070526123, 1.1586763858795166, 1.1574857234954834, 1.1562526226043701, 1.1550908088684082, 1.1539442539215088, 1.1528112888336182, 1.1516907215118408, 1.150583028793335, 1.1494872570037842, 1.148576021194458, 1.1475021839141846, 1.146440029144287, 1.145508050918579, 1.1444649696350098, 1.1434307098388672, 1.1424047946929932, 1.1413865089416504, 1.140376091003418, 1.1393711566925049, 1.1383740901947021, 1.1373827457427979, 1.136397361755371, 1.1355278491973877, 1.134554386138916, 1.1335859298706055, 1.132622241973877, 1.1316618919372559, 1.1307079792022705, 1.1295182704925537, 1.1283471584320068, 1.1274068355560303, 1.1264715194702148, 1.1255412101745605, 1.124563455581665, 1.1236438751220703, 1.1227295398712158, 1.121821403503418, 1.1209187507629395, 1.1200225353240967, 1.1191320419311523, 1.1182165145874023, 1.1173717975616455, 1.1179020404815674, 1.1170339584350586, 1.116175651550293, 1.1153221130371094, 1.1144766807556152, 1.1136372089385986, 1.1128053665161133, 1.1119794845581055, 1.1111602783203125, 1.1103482246398926, 1.1095426082611084, 1.1087431907653809, 1.1079504489898682, 1.107163667678833, 1.1063828468322754, 1.1057353019714355, 1.1049673557281494, 1.1042039394378662, 1.1034460067749023, 1.1026926040649414, 1.1019456386566162, 1.1012022495269775, 1.100464105606079, 1.0997357368469238, 1.099003791809082, 1.0982763767242432, 1.0975525379180908, 1.0968317985534668, 1.0961148738861084, 1.095365047454834, 1.0946528911590576, 1.093942403793335, 1.0955753326416016, 1.0948731899261475, 1.0941739082336426, 1.0934758186340332, 1.0927801132202148, 1.0920848846435547, 1.0913903713226318, 1.0906975269317627, 1.0900051593780518, 1.0878093242645264, 1.0871129035949707, 1.0864176750183105, 1.0857243537902832, 1.0850329399108887, 1.0842788219451904, 1.0835902690887451, 1.0829038619995117, 1.0822207927703857, 1.081540584564209, 1.0808637142181396, 1.0801887512207031, 1.0795187950134277, 1.0788519382476807, 1.0781888961791992, 1.0775291919708252, 1.0768725872039795, 1.0762200355529785, 1.0755698680877686, 1.0749242305755615, 1.074280023574829, 1.0736091136932373, 1.0729706287384033, 1.072333574295044, 1.07169771194458, 1.0710639953613281, 1.070432186126709, 1.0698020458221436, 1.069171667098999, 1.0685429573059082, 1.06791353225708, 1.0672855377197266, 1.0669937133789062, 1.06636643409729, 1.0657386779785156, 1.065112590789795, 1.0644867420196533, 1.0638606548309326, 1.0632362365722656, 1.0626118183135986, 1.061988115310669, 1.0613648891448975, 1.060743808746338, 1.0601222515106201, 1.0595030784606934, 1.058884620666504, 1.0582678318023682, 1.0576529502868652, 1.057039737701416, 1.056429147720337, 1.0558197498321533, 1.0552144050598145, 1.054610013961792, 1.0540094375610352, 1.0534119606018066, 1.0530130863189697, 1.0524232387542725, 1.0518360137939453, 1.051252841949463, 1.0509469509124756, 1.0503711700439453, 1.0497899055480957, 1.0492198467254639, 1.0484354496002197, 1.0478739738464355, 1.047316074371338, 1.0467617511749268, 1.0462112426757812, 1.045663595199585, 1.045118808746338, 1.0445783138275146, 1.0440399646759033, 1.0435056686401367, 1.0429716110229492, 1.0424411296844482, 1.0419187545776367, 1.041393518447876, 1.0408687591552734, 1.0403473377227783, 1.0398266315460205, 1.039308786392212, 1.0383424758911133, 1.037829875946045, 1.037318468093872, 1.0368084907531738, 1.036301612854004, 1.03538179397583, 1.0348777770996094, 1.0343759059906006, 1.033876657485962, 1.0333800315856934, 1.0328857898712158, 1.0323936939239502, 1.0313546657562256, 1.030872106552124, 1.0303921699523926, 1.0299131870269775, 1.02943754196167, 1.028963565826416, 1.0284943580627441, 1.0280265808105469, 1.0275630950927734, 1.0271015167236328, 1.02787184715271, 1.027371883392334, 1.026874303817749, 1.0263819694519043, 1.0258924961090088, 1.0254077911376953, 1.024928092956543, 1.0244529247283936, 1.0239827632904053, 1.023517370223999, 1.0230560302734375, 1.022601842880249, 1.0221524238586426, 1.021707534790039, 1.0212681293487549, 1.0208346843719482, 1.0209414958953857, 1.0205247402191162, 1.020113229751587, 1.0197052955627441, 1.0193028450012207, 1.0189051628112793, 1.0185105800628662, 1.0181219577789307, 1.0177340507507324, 1.0173509120941162, 1.0169703960418701, 1.016594409942627, 1.0162184238433838, 1.015845775604248, 1.0154764652252197, 1.0154213905334473, 1.015038013458252, 1.0146560668945312, 1.0142743587493896], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007863023318350315, 0.0007267153705470264, -0.01104261539876461), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0005943746655248106, -0.0002120201097568497, -0.004584269132465124), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004710660316050053, 0.002417977899312973, -0.006570193916559219), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.016687782481312752, 0.0041074687615036964, 0.00873575545847416), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003911606036126614, 0.0008672111434862018, -0.009559874422848225), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003421835135668516, 0.003880617441609502, -0.007246978115290403), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006969848647713661, 0.0011974383378401399, -0.01413868460804224), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009174974635243416, -0.006717045325785875, 0.0015282474923878908), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005195314064621925, -0.00349522870965302, -0.009877865202724934), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.08786685764789581, -0.0707009956240654, -0.0034032659605145454), (0.039483245462179184, 0.008522704243659973, -0.05681094527244568)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=26, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.1639450788497925, 2.2998714447021484, 23.0969181060791), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.31008028984069824, 4.714587211608887, 23.03773307800293), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.6625992059707642, 7.198491096496582, 23.10228157043457), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.000396728515625, 2.305650234222412, 23.068126678466797), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.5701022148132324, 4.674519062042236, 23.080493927001953), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.1005288362503052, 7.2040300369262695, 23.100385665893555), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.8108391761779785, 2.306828022003174, 23.08629035949707), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.4018874168396, 4.755303859710693, 23.087684631347656), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.084295272827148, 7.252726078033447, 23.014385223388672), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.894972324371338, 5.922214508056641, 24.696847915649414), (2.704704761505127, 6.385218143463135, 25.011920928955078)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0733146667480469, energy_trajectory=[1.2934725284576416, 1.2876899242401123, 1.280686378479004, 1.2741365432739258, 1.2677867412567139, 1.261887550354004, 1.2557711601257324, 1.249751329421997, 1.2433967590332031, 1.2375621795654297, 1.231830358505249, 1.2262024879455566, 1.2205817699432373, 1.2151706218719482, 1.2101545333862305, 1.2054774761199951, 1.20131254196167, 1.1972119808197021, 1.192701816558838, 1.1890954971313477, 1.1857011318206787, 1.1825010776519775, 1.179490089416504, 1.1766483783721924, 1.1738178730010986, 1.171320915222168, 1.1689507961273193, 1.1668109893798828, 1.1647233963012695, 1.1627442836761475, 1.1608710289001465, 1.1590263843536377, 1.1573379039764404, 1.155653715133667, 1.1541163921356201, 1.1526494026184082, 1.1512479782104492, 1.1497602462768555, 1.1478040218353271, 1.1465790271759033, 1.1454041004180908, 1.1442737579345703, 1.1431877613067627, 1.1421420574188232, 1.1411356925964355, 1.140164852142334, 1.1392278671264648, 1.1383240222930908, 1.1374497413635254, 1.136603593826294, 1.1357855796813965, 1.1349899768829346, 1.1342220306396484, 1.1334776878356934, 1.1327526569366455, 1.1320483684539795, 1.1313588619232178, 1.1306862831115723, 1.130385398864746, 1.1297376155853271, 1.1290977001190186, 1.1284008026123047, 1.1276640892028809, 1.1270380020141602, 1.126413345336914, 1.1257898807525635, 1.1251704692840576, 1.124558687210083, 1.124025821685791, 1.12333083152771, 1.1227693557739258, 1.1222312450408936, 1.121720790863037, 1.1212327480316162, 1.1209616661071777, 1.1204817295074463, 1.1200473308563232, 1.1196224689483643, 1.119206190109253, 1.1187963485717773, 1.1183934211730957, 1.1179962158203125, 1.1176061630249023, 1.1167867183685303, 1.1163365840911865, 1.1157948970794678, 1.1154351234436035, 1.1151320934295654, 1.1147918701171875, 1.1143341064453125, 1.1140155792236328, 1.113708734512329, 1.1134140491485596, 1.1131324768066406, 1.112863540649414, 1.1126108169555664, 1.1123697757720947, 1.112144947052002, 1.111933708190918, 1.1117374897003174, 1.1115562915802002, 1.1111571788787842, 1.1110024452209473, 1.1108598709106445, 1.1107287406921387, 1.1106085777282715, 1.1105799674987793, 1.1104774475097656, 1.110379695892334, 1.1102879047393799, 1.109635829925537, 1.1096508502960205, 1.109555721282959, 1.1091406345367432, 1.1090376377105713, 1.1089262962341309, 1.108808994293213, 1.1086807250976562, 1.1085433959960938, 1.1083929538726807, 1.1082301139831543, 1.10805344581604, 1.107862949371338, 1.107656478881836, 1.1074366569519043, 1.106966495513916, 1.1065185070037842, 1.1062581539154053, 1.1059844493865967, 1.1056976318359375, 1.104799747467041, 1.1045129299163818, 1.1041910648345947, 1.1038587093353271, 1.1035010814666748, 1.1032633781433105, 1.1029083728790283, 1.1025450229644775, 1.1021723747253418, 1.101792335510254, 1.1014044284820557, 1.1010098457336426, 1.1006088256835938, 1.10020112991333, 1.0997874736785889, 1.0993683338165283, 1.098945140838623, 1.0985193252563477, 1.0983891487121582, 1.0979645252227783, 1.0975394248962402, 1.096919059753418, 1.096703290939331, 1.0962824821472168, 1.0957868099212646, 1.0953619480133057, 1.0949375629425049, 1.0945117473602295, 1.0940866470336914, 1.0936613082885742, 1.093235969543457, 1.0928113460540771, 1.0923871994018555, 1.0920524597167969, 1.0915236473083496, 1.0919468402862549, 1.0915210247039795, 1.091766595840454, 1.0913410186767578, 1.090916395187378, 1.0906932353973389, 1.090275764465332, 1.0895204544067383, 1.0891070365905762, 1.0886955261230469, 1.0881729125976562, 1.0878758430480957, 1.087322473526001, 1.0869147777557373, 1.0867862701416016, 1.0863850116729736, 1.085986852645874, 1.0855917930603027, 1.085200309753418, 1.0848119258880615, 1.0844266414642334, 1.0840442180633545, 1.0836663246154785, 1.0832924842834473, 1.083026647567749, 1.0826623439788818, 1.0817341804504395, 1.08119535446167, 1.080843210220337, 1.080495834350586, 1.080152988433838, 1.0798146724700928, 1.0794806480407715, 1.0788471698760986, 1.0785207748413086, 1.0781986713409424, 1.0778813362121582, 1.0775694847106934, 1.0772626399993896, 1.0768766403198242, 1.0761029720306396, 1.0758082866668701, 1.0755198001861572, 1.0752372741699219, 1.0749590396881104, 1.074615240097046, 1.0740790367126465, 1.0738167762756348, 1.0736241340637207, 1.0733771324157715, 1.0731353759765625, 1.0726804733276367, 1.0724472999572754, 1.0722191333770752, 1.071995735168457, 1.0717792510986328, 1.0715663433074951, 1.0713584423065186, 1.072037696838379, 1.071843147277832, 1.071652889251709, 1.0714688301086426, 1.0712897777557373, 1.071115493774414, 1.0709445476531982, 1.07078218460083, 1.0706257820129395, 1.07047438621521, 1.0703282356262207, 1.0701887607574463, 1.070054292678833, 1.0697617530822754, 1.069636583328247, 1.0695183277130127, 1.0694053173065186, 1.069298267364502, 1.0693724155426025, 1.069279670715332, 1.0691914558410645, 1.0691094398498535, 1.0695767402648926, 1.0695035457611084, 1.069439172744751, 1.0693793296813965, 1.0693273544311523, 1.0692811012268066, 1.069239616394043, 1.069561243057251, 1.0683305263519287, 1.0683226585388184, 1.0683152675628662, 1.0683128833770752, 1.0683183670043945, 1.0683293342590332, 1.0683465003967285, 1.0683693885803223, 1.067460298538208, 1.0674941539764404, 1.0675313472747803, 1.0675759315490723, 1.067627191543579, 1.067683219909668, 1.067744255065918, 1.067920207977295, 1.0679962635040283, 1.0680763721466064, 1.0681641101837158, 1.0683257579803467, 1.0684244632720947, 1.0688114166259766, 1.0689220428466797, 1.069040060043335, 1.0692529678344727, 1.0693836212158203, 1.0695199966430664, 1.0696611404418945, 1.069808006286621, 1.0699620246887207, 1.070122480392456, 1.0702869892120361, 1.0704560279846191, 1.070631504058838, 1.0707731246948242, 1.0709576606750488, 1.0711467266082764, 1.0713410377502441, 1.0715417861938477, 1.071746826171875, 1.0719552040100098, 1.0721714496612549, 1.0723915100097656, 1.072615146636963, 1.0728437900543213, 1.0730769634246826, 1.0733146667480469], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.04972703754901886, 0.01316179521381855, -0.00413157744333148), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.05963980406522751, 0.02270776405930519, 0.00279727834276855), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.05388333275914192, 0.01494333241134882, -0.013477778993546963), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.04400971531867981, 0.019280582666397095, 5.219932791078463e-05), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.042583711445331573, 0.03223937004804611, 0.014567414298653603), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.07408797740936279, 0.019956940785050392, 0.008741230703890324), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.04991170018911362, 0.021977366879582405, -0.0011886990396305919), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.047202616930007935, 0.014330693520605564, -0.0029430934228003025), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.033723875880241394, 0.002324896166101098, 0.006838945671916008), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02016911841928959, 0.08071987330913544, 0.06213177368044853), (0.026148125529289246, 0.034787047654390335, 0.08407275378704071)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=27, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4255989789962769, 2.513005018234253, 23.08590316772461), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.010915203019976616, 4.870300769805908, 23.00320816040039), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4090708494186401, 7.429577350616455, 23.115121841430664), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.244082927703857, 2.581507921218872, 23.025480270385742), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.838364601135254, 4.950489044189453, 23.063413619995117), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4809982776641846, 7.453768730163574, 23.089651107788086), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.081437110900879, 2.5215680599212646, 23.08355140686035), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.661170959472656, 4.955909252166748, 23.06862449645996), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.265338897705078, 7.392243385314941, 23.060367584228516), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (4.419443130493164, -0.042521845549345016, 24.772274017333984), (4.406867504119873, 0.8536697626113892, 25.178674697875977)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0997660160064697, energy_trajectory=[1.9059233665466309, 1.894533634185791, 1.8847455978393555, 1.8754775524139404, 1.867189884185791, 1.8587121963500977, 1.850541114807129, 1.8426339626312256, 1.834944248199463, 1.8270854949951172, 1.8197319507598877, 1.812511682510376, 1.8056261539459229, 1.7985765933990479, 1.791670560836792, 1.784853458404541, 1.7781176567077637, 1.7714564800262451, 1.7648663520812988, 1.7583394050598145, 1.7518141269683838, 1.7454032897949219, 1.739046335220337, 1.7327494621276855, 1.7264859676361084, 1.7200725078582764, 1.713900089263916, 1.7077627182006836, 1.7016644477844238, 1.695603370666504, 1.6895034313201904, 1.6835014820098877, 1.6775336265563965, 1.6714036464691162, 1.6654963493347168, 1.659621238708496, 1.6537747383117676, 1.647979974746704, 1.6421926021575928, 1.6364312171936035, 1.6306967735290527, 1.6250357627868652, 1.619584083557129, 1.6139249801635742, 1.6087226867675781, 1.60312819480896, 1.5975546836853027, 1.5920052528381348, 1.5864405632019043, 1.5810391902923584, 1.5755629539489746, 1.5701103210449219, 1.564681053161621, 1.5592751502990723, 1.5538063049316406, 1.548445224761963, 1.5431108474731445, 1.53779935836792, 1.5325136184692383, 1.5272550582885742, 1.5220212936401367, 1.516813039779663, 1.5115902423858643, 1.5064418315887451, 1.501075029373169, 1.4959652423858643, 1.4908802509307861, 1.4858224391937256, 1.4807894229888916, 1.4755849838256836, 1.470607042312622, 1.465653896331787, 1.4608392715454102, 1.4559361934661865, 1.4510576725006104, 1.446258544921875, 1.4416441917419434, 1.4368336200714111, 1.4320473670959473, 1.427394151687622, 1.4226524829864502, 1.4179353713989258, 1.413243293762207, 1.4085750579833984, 1.4039342403411865, 1.39909029006958, 1.3945057392120361, 1.3899474143981934, 1.3854167461395264, 1.3809144496917725, 1.376283884048462, 1.3718268871307373, 1.3673985004425049, 1.3630001544952393, 1.3586618900299072, 1.35438871383667, 1.3499755859375, 1.3461627960205078, 1.3421313762664795, 1.3380992412567139, 1.33412504196167, 1.3298311233520508, 1.3259069919586182, 1.322235107421875, 1.3186335563659668, 1.3151609897613525, 1.3115198612213135, 1.3079299926757812, 1.3043928146362305, 1.300905704498291, 1.2974700927734375, 1.2940845489501953, 1.290574073791504, 1.2872867584228516, 1.2840478420257568, 1.2807886600494385, 1.2776436805725098, 1.2745461463928223, 1.2714941501617432, 1.2683022022247314, 1.2653436660766602, 1.262430191040039, 1.2595627307891846, 1.2567417621612549, 1.2540078163146973, 1.2510616779327393, 1.2483747005462646, 1.2457325458526611, 1.2431349754333496, 1.2405810356140137, 1.238070011138916, 1.235600233078003, 1.2331733703613281, 1.2307887077331543, 1.228445291519165, 1.2261438369750977, 1.2238833904266357, 1.221662998199463, 1.2194831371307373, 1.2173426151275635, 1.215240478515625, 1.213176965713501, 1.2111515998840332, 1.209162950515747, 1.2072117328643799, 1.2052953243255615, 1.2034153938293457, 1.2015705108642578, 1.1997597217559814, 1.1978306770324707, 1.1960878372192383, 1.194378137588501, 1.1927242279052734, 1.1910784244537354, 1.1894636154174805, 1.187880516052246, 1.1863276958465576, 1.1848046779632568, 1.1833100318908691, 1.1817636489868164, 1.180342435836792, 1.1788299083709717, 1.1774632930755615, 1.1761231422424316, 1.1748087406158447, 1.1735191345214844, 1.1722543239593506, 1.1710128784179688, 1.1697959899902344, 1.1686010360717773, 1.1674292087554932, 1.1662781238555908, 1.1651489734649658, 1.1637728214263916, 1.1626861095428467, 1.161618947982788, 1.1605710983276367, 1.1595418453216553, 1.1585309505462646, 1.1575374603271484, 1.1561365127563477, 1.155177116394043, 1.1542344093322754, 1.153282642364502, 1.1522834300994873, 1.151390790939331, 1.1505122184753418, 1.1499710083007812, 1.1489601135253906, 1.1481258869171143, 1.147303819656372, 1.1465587615966797, 1.1457650661468506, 1.145085334777832, 1.144317626953125, 1.143561601638794, 1.1428191661834717, 1.1420881748199463, 1.1413688659667969, 1.1406617164611816, 1.1399664878845215, 1.1392822265625, 1.1386091709136963, 1.1379473209381104, 1.1372959613800049, 1.1366546154022217, 1.1360242366790771, 1.1354036331176758, 1.1347930431365967, 1.1341912746429443, 1.1337549686431885, 1.1331722736358643, 1.1325976848602295, 1.1320326328277588, 1.1314756870269775, 1.1298246383666992, 1.1292963027954102, 1.1287753582000732, 1.128263235092163, 1.127758264541626, 1.1272609233856201, 1.1267707347869873, 1.1262884140014648, 1.1258125305175781, 1.1253440380096436, 1.1248829364776611, 1.124427318572998, 1.1239781379699707, 1.1235356330871582, 1.1230995655059814, 1.122668743133545, 1.1222445964813232, 1.121826410293579, 1.121412992477417, 1.1210048198699951, 1.1206026077270508, 1.1202049255371094, 1.11981201171875, 1.1194241046905518, 1.1190409660339355, 1.118661880493164, 1.1182870864868164, 1.1178181171417236, 1.11745285987854, 1.1170909404754639, 1.116732120513916, 1.1163771152496338, 1.1160247325897217, 1.1156761646270752, 1.1153302192687988, 1.1149866580963135, 1.1146464347839355, 1.1146490573883057, 1.1143121719360352, 1.1139774322509766, 1.113645315170288, 1.1133151054382324, 1.1129863262176514, 1.112658977508545, 1.1123335361480713, 1.1120076179504395, 1.1116840839385986, 1.1113600730895996, 1.1116793155670166, 1.111358404159546, 1.1110386848449707, 1.1107192039489746, 1.1104013919830322, 1.1100828647613525, 1.1097652912139893, 1.1094472408294678, 1.1089990139007568, 1.1086812019348145, 1.1083641052246094, 1.1080472469329834, 1.1077284812927246, 1.107410192489624, 1.1070914268493652, 1.1067724227905273, 1.1064534187316895, 1.1061336994171143, 1.1058127880096436, 1.105492353439331, 1.1051712036132812, 1.1048495769500732, 1.1045262813568115, 1.1042029857635498, 1.1038784980773926, 1.103553056716919, 1.103227138519287, 1.1028997898101807, 1.102571964263916, 1.1022424697875977, 1.1019117832183838, 1.101456880569458, 1.1011242866516113, 1.1007912158966064, 1.1004559993743896, 1.1001017093658447, 1.0997660160064697], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00045384702389128506, 0.0027261218056082726, -0.004583404399454594), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0009146885713562369, 0.0017826372059062123, -0.00028408996877260506), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006429681554436684, 0.0002989575732499361, -0.00846625491976738), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0002777879126369953, -0.005259114317595959, 0.002826136304065585), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0004329005314502865, 0.003106337273493409, -0.005049278028309345), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004398098681122065, -0.0027034026570618153, -0.006175912916660309), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0028719508554786444, 0.0009401829447597265, -0.0036633899435400963), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00245546642690897, -0.0013657421804964542, -0.005000031087547541), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006646519061177969, 0.0031722949352115393, -0.004488475155085325), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.08601363003253937, 0.010003345087170601, -0.045426301658153534), (-0.004902317654341459, -0.03422003239393234, -0.004503560718148947)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=28, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.387251377105713, 2.445406675338745, 23.057416915893555), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.046532660722732544, 4.900172233581543, 23.043182373046875), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4319071769714355, 7.346334934234619, 23.074058532714844), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.2136383056640625, 2.4545845985412598, 23.054645538330078), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.7750470638275146, 4.907956123352051, 23.15948486328125), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3717870712280273, 7.374394416809082, 23.043363571166992), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.032896518707275, 2.4605937004089355, 23.06867027282715), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.636366367340088, 4.902337074279785, 23.048669815063477), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.229442119598389, 7.364093780517578, 23.03485107421875), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (2.7504067420959473, 5.154766082763672, 25.147024154663086), (1.9964655637741089, 4.627327919006348, 25.4869441986084)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0065224170684814, energy_trajectory=[1.350578784942627, 1.3445384502410889, 1.3381338119506836, 1.3319993019104004, 1.3259646892547607, 1.3202457427978516, 1.31471586227417, 1.3093676567077637, 1.3042678833007812, 1.299271821975708, 1.2944388389587402, 1.289764165878296, 1.2852399349212646, 1.2808613777160645, 1.2766201496124268, 1.2725105285644531, 1.2685256004333496, 1.2645258903503418, 1.2607719898223877, 1.2572119235992432, 1.2536675930023193, 1.2502202987670898, 1.2468652725219727, 1.2435967922210693, 1.2404093742370605, 1.2373058795928955, 1.234276533126831, 1.2313191890716553, 1.2284295558929443, 1.2256059646606445, 1.2228443622589111, 1.220144510269165, 1.2175028324127197, 1.2149178981781006, 1.212385892868042, 1.2099061012268066, 1.2074766159057617, 1.205094575881958, 1.2027909755706787, 1.200465202331543, 1.1982197761535645, 1.1960160732269287, 1.1938543319702148, 1.1922235488891602, 1.1901452541351318, 1.188103199005127, 1.186096429824829, 1.1840438842773438, 1.1821088790893555, 1.1802070140838623, 1.1783373355865479, 1.1764979362487793, 1.1746785640716553, 1.1728992462158203, 1.1711485385894775, 1.169426679611206, 1.167731761932373, 1.166062831878662, 1.1644208431243896, 1.1628038883209229, 1.1612117290496826, 1.1596426963806152, 1.158097267150879, 1.1565732955932617, 1.1550705432891846, 1.1535885334014893, 1.1521284580230713, 1.1506874561309814, 1.1492655277252197, 1.1478633880615234, 1.1464784145355225, 1.145113229751587, 1.1437640190124512, 1.142432451248169, 1.1419239044189453, 1.140622854232788, 1.1393368244171143, 1.1380643844604492, 1.1368069648742676, 1.1355619430541992, 1.1343305110931396, 1.1331119537353516, 1.1319060325622559, 1.1307110786437988, 1.1295289993286133, 1.12835693359375, 1.1271955966949463, 1.1260449886322021, 1.124772071838379, 1.123640775680542, 1.1225171089172363, 1.1214032173156738, 1.1202976703643799, 1.1192011833190918, 1.118112325668335, 1.1170315742492676, 1.1159589290618896, 1.1148946285247803, 1.113837718963623, 1.112788200378418, 1.1119048595428467, 1.1108732223510742, 1.1098487377166748, 1.1088323593139648, 1.1078238487243652, 1.1068251132965088, 1.1058335304260254, 1.1048505306243896, 1.1038763523101807, 1.1029114723205566, 1.1019408702850342, 1.100994348526001, 1.1000573635101318, 1.0991291999816895, 1.098210096359253, 1.0973005294799805, 1.0964000225067139, 1.0955102443695068, 1.0946285724639893, 1.093886137008667, 1.0930237770080566, 1.0921697616577148, 1.0913255214691162, 1.0904901027679443, 1.0896637439727783, 1.0888464450836182, 1.0880377292633057, 1.08723783493042, 1.0864458084106445, 1.0856621265411377, 1.0848867893218994, 1.084118366241455, 1.083357572555542, 1.0826034545898438, 1.0818560123443604, 1.0811161994934082, 1.0803899765014648, 1.0796608924865723, 1.0771386623382568, 1.076416015625, 1.0756971836090088, 1.0749852657318115, 1.0740597248077393, 1.0733566284179688, 1.0726583003997803, 1.0719647407531738, 1.0712759494781494, 1.070591688156128, 1.0699114799499512, 1.0692346096038818, 1.0685620307922363, 1.0678932666778564, 1.067228078842163, 1.0663166046142578, 1.0656580924987793, 1.065002202987671, 1.06434965133667, 1.0636999607086182, 1.0630548000335693, 1.0624122619628906, 1.0617725849151611, 1.0611376762390137, 1.0605051517486572, 1.0598788261413574, 1.0592546463012695, 1.058332920074463, 1.0577170848846436, 1.0571064949035645, 1.056499719619751, 1.0573046207427979, 1.056708574295044, 1.0561470985412598, 1.0555593967437744, 1.0549776554107666, 1.054398775100708, 1.0538249015808105, 1.05332612991333, 1.0529096126556396, 1.0523476600646973, 1.051788568496704, 1.0512311458587646, 1.0506770610809326, 1.0501248836517334, 1.05021333694458, 1.0496621131896973, 1.0485529899597168, 1.0480012893676758, 1.0474519729614258, 1.0479710102081299, 1.0474183559417725, 1.0468683242797852, 1.0463221073150635, 1.0457770824432373, 1.0452349185943604, 1.0446951389312744, 1.0441336631774902, 1.0435693264007568, 1.0430335998535156, 1.0425021648406982, 1.0419743061065674, 1.0414509773254395, 1.040930986404419, 1.0395970344543457, 1.0392167568206787, 1.0387163162231445, 1.0382204055786133, 1.0377306938171387, 1.037245512008667, 1.0367670059204102, 1.036294937133789, 1.0358295440673828, 1.0353708267211914, 1.0349626541137695, 1.034517765045166, 1.034078598022461, 1.0336477756500244, 1.0332236289978027, 1.032806634902954, 1.0327022075653076, 1.0322513580322266, 1.0318529605865479, 1.031461477279663, 1.0310757160186768, 1.0308072566986084, 1.0304334163665771, 1.0300660133361816, 1.0297868251800537, 1.0294289588928223, 1.0290758609771729, 1.0287280082702637, 1.0283844470977783, 1.0280449390411377, 1.0277087688446045, 1.027376651763916, 1.0270471572875977, 1.0267210006713867, 1.0263972282409668, 1.0260767936706543, 1.0257585048675537, 1.0254428386688232, 1.0251309871673584, 1.02482008934021, 1.0245122909545898, 1.024162769317627, 1.0238604545593262, 1.0235612392425537, 1.0232641696929932, 1.0229682922363281, 1.022676706314087, 1.020211935043335, 1.019911527633667, 1.01961088180542, 1.0193114280700684, 1.0190129280090332, 1.0187153816223145, 1.0184195041656494, 1.0181255340576172, 1.0178346633911133, 1.0175457000732422, 1.0172603130340576, 1.016977310180664, 1.0166969299316406, 1.016418695449829, 1.0161442756652832, 1.0158717632293701, 1.0155439376831055, 1.0152757167816162, 1.0150108337402344, 1.0147480964660645, 1.0144891738891602, 1.0142326354980469, 1.013979434967041, 1.013728141784668, 1.0134799480438232, 1.0132334232330322, 1.012988567352295, 1.0127460956573486, 1.0125048160552979, 1.0122649669647217, 1.0120279788970947, 1.0115408897399902, 1.0108897686004639, 1.0106561183929443, 1.0104212760925293, 1.0101885795593262, 1.0099573135375977, 1.0097274780273438, 1.0094971656799316, 1.0092697143554688, 1.0090429782867432, 1.008817195892334, 1.008591890335083, 1.0083692073822021, 1.0081472396850586, 1.0079269409179688, 1.0077087879180908, 1.0071589946746826, 1.0069453716278076, 1.00673246383667, 1.0065224170684814], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0008021784597076476, -0.0011049049207940698, -0.010144783183932304), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014621356502175331, 0.0013933011796325445, 0.005402470473200083), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0018503780011087656, -0.00336259207688272, -0.011009282432496548), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0029464573599398136, -0.007258533965796232, -0.011019546538591385), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011117200367152691, -0.01363413967192173, -0.014359593391418457), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011027023196220398, -0.017423612996935844, 0.000936156720854342), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00020780817430932075, -0.0022366270422935486, -0.008344688452780247), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00023114561918191612, -0.0017588053597137332, -0.010686448775231838), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009588058106601238, -0.009947314858436584, 0.009185142815113068), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.016300233080983162, -0.08652579039335251, -0.00779187073931098), (0.024365214630961418, -0.0025336365215480328, -0.0247885063290596)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=29, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4416011571884155, 2.4398951530456543, 23.162809371948242), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.01183905266225338, 4.903446674346924, 23.04486083984375), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.377320647239685, 7.312458515167236, 23.049762725830078), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.292991638183594, 2.443046808242798, 23.030860900878906), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.863520622253418, 4.913815498352051, 23.03594398498535), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.439391016960144, 7.332555770874023, 23.067184448242188), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.073495388031006, 2.4465935230255127, 23.06108856201172), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.670354843139648, 4.889301300048828, 23.072547912597656), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.254512310028076, 7.3253326416015625, 23.057140350341797), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.7771342992782593, 2.6417524814605713, 25.13175392150879), (0.9208516478538513, 2.6972506046295166, 25.6044921875)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.031074047088623, energy_trajectory=[1.7205109596252441, 1.7137398719787598, 1.7073814868927002, 1.701209306716919, 1.6950960159301758, 1.6890649795532227, 1.68312668800354, 1.6772334575653076, 1.6712751388549805, 1.6655032634735107, 1.6597862243652344, 1.654426097869873, 1.6491785049438477, 1.643601894378662, 1.6380689144134521, 1.6325790882110596, 1.6271319389343262, 1.6217248439788818, 1.616356611251831, 1.6110272407531738, 1.6057379245758057, 1.600487470626831, 1.5953497886657715, 1.5901732444763184, 1.5850372314453125, 1.57993745803833, 1.574873447418213, 1.5698270797729492, 1.5648386478424072, 1.5598852634429932, 1.554971694946289, 1.5500924587249756, 1.54524827003479, 1.5404422283172607, 1.5356700420379639, 1.530930995941162, 1.526228666305542, 1.5215590000152588, 1.5169215202331543, 1.5124528408050537, 1.5078814029693604, 1.5033411979675293, 1.4988327026367188, 1.4943530559539795, 1.4900758266448975, 1.485654354095459, 1.4812641143798828, 1.4768996238708496, 1.4725627899169922, 1.4682550430297852, 1.463973045349121, 1.4597203731536865, 1.4554922580718994, 1.4512913227081299, 1.4471182823181152, 1.442986249923706, 1.4390029907226562, 1.434910535812378, 1.4308459758758545, 1.4267568588256836, 1.4226641654968262, 1.4185855388641357, 1.4146292209625244, 1.410698652267456, 1.4067974090576172, 1.4029219150543213, 1.3990764617919922, 1.3952596187591553, 1.391467809677124, 1.3877067565917969, 1.383974313735962, 1.3802685737609863, 1.3765923976898193, 1.3729443550109863, 1.3693230152130127, 1.3657307624816895, 1.3621680736541748, 1.358633279800415, 1.3551249504089355, 1.3516454696655273, 1.3481950759887695, 1.344771385192871, 1.3413753509521484, 1.338005781173706, 1.334662914276123, 1.3313477039337158, 1.328059434890747, 1.3247978687286377, 1.3215620517730713, 1.3184263706207275, 1.3152415752410889, 1.311955451965332, 1.3088188171386719, 1.305706262588501, 1.302666187286377, 1.2995996475219727, 1.2965571880340576, 1.293536901473999, 1.290827751159668, 1.287853717803955, 1.2849023342132568, 1.281973123550415, 1.2790639400482178, 1.2761743068695068, 1.273305892944336, 1.2704577445983887, 1.2676312923431396, 1.2648248672485352, 1.2620389461517334, 1.2592747211456299, 1.2565295696258545, 1.2534244060516357, 1.250720500946045, 1.2480356693267822, 1.2457911968231201, 1.2431526184082031, 1.2405345439910889, 1.2379357814788818, 1.2353582382202148, 1.232801914215088, 1.2302665710449219, 1.227637767791748, 1.2251427173614502, 1.222783088684082, 1.2203311920166016, 1.2178997993469238, 1.2154889106750488, 1.2131004333496094, 1.2107315063476562, 1.2083821296691895, 1.2060556411743164, 1.2037479877471924, 1.2014622688293457, 1.1991949081420898, 1.1969492435455322, 1.1947236061096191, 1.1925177574157715, 1.1903316974639893, 1.1881651878356934, 1.1860175132751465, 1.1838886737823486, 1.1817796230316162, 1.1796891689300537, 1.177617073059082, 1.1755647659301758, 1.1735303401947021, 1.171515941619873, 1.1695051193237305, 1.1701006889343262, 1.1681592464447021, 1.1662306785583496, 1.1643202304840088, 1.1624279022216797, 1.160552740097046, 1.1586964130401611, 1.1568572521209717, 1.1550374031066895, 1.1532337665557861, 1.1514477729797363, 1.1496801376342773, 1.1479289531707764, 1.146195650100708, 1.1444809436798096, 1.14278244972229, 1.1411023139953613, 1.139436960220337, 1.1377897262573242, 1.1361596584320068, 1.1345453262329102, 1.13279128074646, 1.1312017440795898, 1.1296298503875732, 1.1282596588134766, 1.1267216205596924, 1.1251990795135498, 1.1236934661865234, 1.122209072113037, 1.1207456588745117, 1.1190710067749023, 1.117649793624878, 1.1160361766815186, 1.1155312061309814, 1.1141719818115234, 1.1128368377685547, 1.111520528793335, 1.1102252006530762, 1.1089472770690918, 1.1076898574829102, 1.106449842453003, 1.1052277088165283, 1.1040239334106445, 1.1029951572418213, 1.101780652999878, 1.1006309986114502, 1.0995006561279297, 1.098388433456421, 1.097294807434082, 1.0959501266479492, 1.094893455505371, 1.0938537120819092, 1.0928304195404053, 1.0918247699737549, 1.0909230709075928, 1.0899608135223389, 1.0890834331512451, 1.0881500244140625, 1.0851690769195557, 1.0842621326446533, 1.083371639251709, 1.0824964046478271, 1.0816352367401123, 1.0807876586914062, 1.0799534320831299, 1.0795230865478516, 1.0787129402160645, 1.0779149532318115, 1.0771734714508057, 1.076395034790039, 1.075624942779541, 1.0748648643493652, 1.074112892150879, 1.0733680725097656, 1.072631597518921, 1.0719013214111328, 1.0711777210235596, 1.0704607963562012, 1.0697484016418457, 1.0690407752990723, 1.0683388710021973, 1.0676424503326416, 1.0669491291046143, 1.0662598609924316, 1.0656566619873047, 1.0649774074554443, 1.064302682876587, 1.0636317729949951, 1.0629634857177734, 1.0623009204864502, 1.0620908737182617, 1.0614373683929443, 1.0607879161834717, 1.0601425170898438, 1.0595018863677979, 1.0588672161102295, 1.0582380294799805, 1.057615041732788, 1.0569987297058105, 1.0563883781433105, 1.0557844638824463, 1.055187463760376, 1.054598093032837, 1.054015874862671, 1.0534403324127197, 1.0528721809387207, 1.052311897277832, 1.051759958267212, 1.0512144565582275, 1.0506434440612793, 1.0501115322113037, 1.0495874881744385, 1.0490705966949463, 1.0485594272613525, 1.0480544567108154, 1.0475554466247559, 1.0470619201660156, 1.0465731620788574, 1.0460898876190186, 1.0456109046936035, 1.0451154708862305, 1.0446443557739258, 1.0441770553588867, 1.0437119007110596, 1.0432507991790771, 1.0427935123443604, 1.0423369407653809, 1.0418822765350342, 1.0414304733276367, 1.0409796237945557, 1.0405316352844238, 1.0400843620300293, 1.039276361465454, 1.0388388633728027, 1.0384008884429932, 1.0379629135131836, 1.0376322269439697, 1.0371966361999512, 1.0367627143859863, 1.0363318920135498, 1.035902738571167, 1.0353801250457764, 1.0349555015563965, 1.0345349311828613, 1.0340139865875244, 1.0355210304260254, 1.0350699424743652, 1.0346291065216064, 1.034193992614746, 1.0337669849395752, 1.0333435535430908, 1.031074047088623], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012204480357468128, 0.0018946632044389844, 0.011703194119036198), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003993745893239975, -0.007476889528334141, 0.001444893074221909), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004617846105247736, 0.00626772828400135, -0.008786487393081188), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02283288724720478, 0.0027850796468555927, 0.010884489864110947), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010193590074777603, -0.014182943850755692, 0.008635547012090683), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004125782288610935, -0.0005415646592155099, -0.009602406993508339), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004007997456938028, 5.298460746416822e-05, -0.010327399708330631), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0041630202904343605, -0.0017641265876591206, -0.009849272668361664), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0023284030612558126, -0.0009060308802872896, -0.010227927006781101), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04971351474523544, -0.06309091299772263, 0.023529784753918648), (-0.08285949379205704, -0.01236072275787592, -0.11533714085817337)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=30, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3937093019485474, 2.4610097408294678, 23.06386947631836), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.012236781418323517, 4.901076316833496, 23.08584976196289), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4281299114227295, 7.332134246826172, 23.05171012878418), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.186624526977539, 2.49280047416687, 23.11321258544922), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.808109998703003, 4.909733772277832, 23.07528305053711), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4124058485031128, 7.265364646911621, 23.001976013183594), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.08080530166626, 2.4812822341918945, 23.0611629486084), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.639945983886719, 4.939295768737793, 23.043033599853516), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.226632118225098, 7.348086833953857, 23.064523696899414), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.118631839752197, 2.0891454219818115, 24.896011352539062), (5.087215900421143, 2.8869497776031494, 25.465585708618164)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.1558101177215576, energy_trajectory=[1.838423252105713, 1.8264851570129395, 1.8175158500671387, 1.8086304664611816, 1.7995283603668213, 1.7903361320495605, 1.78128981590271, 1.7726104259490967, 1.7642443180084229, 1.7561447620391846, 1.7482821941375732, 1.7406272888183594, 1.7331593036651611, 1.7258589267730713, 1.7187082767486572, 1.7118802070617676, 1.7050888538360596, 1.6983094215393066, 1.6916370391845703, 1.6850640773773193, 1.6785969734191895, 1.67219877243042, 1.6658828258514404, 1.659520149230957, 1.6533808708190918, 1.647352695465088, 1.6414248943328857, 1.6355946063995361, 1.6298608779907227, 1.6242079734802246, 1.61863374710083, 1.6131372451782227, 1.6076695919036865, 1.6023192405700684, 1.5970408916473389, 1.5918292999267578, 1.586683988571167, 1.5816030502319336, 1.5765843391418457, 1.5716261863708496, 1.5667273998260498, 1.5618879795074463, 1.557105302810669, 1.552377462387085, 1.5477032661437988, 1.5429894924163818, 1.5384292602539062, 1.534010887145996, 1.5295555591583252, 1.525148868560791, 1.5207915306091309, 1.5164821147918701, 1.512220859527588, 1.5080065727233887, 1.5038368701934814, 1.4996962547302246, 1.495619297027588, 1.4915852546691895, 1.4867196083068848, 1.4827725887298584, 1.4788663387298584, 1.4750025272369385, 1.4711782932281494, 1.4673793315887451, 1.463637351989746, 1.4597206115722656, 1.4560582637786865, 1.4524333477020264, 1.4488444328308105, 1.4452922344207764, 1.4417760372161865, 1.4382944107055664, 1.434715747833252, 1.4312915802001953, 1.4279000759124756, 1.4245412349700928, 1.4212150573730469, 1.4179203510284424, 1.4146559238433838, 1.4114232063293457, 1.4082190990447998, 1.4050450325012207, 1.4018993377685547, 1.3986122608184814, 1.3955256938934326, 1.392465591430664, 1.3894317150115967, 1.3864250183105469, 1.3834447860717773, 1.3804903030395508, 1.3775608539581299, 1.3746552467346191, 1.3717741966247559, 1.3689186573028564, 1.3660855293273926, 1.3632760047912598, 1.360489845275879, 1.35772705078125, 1.3549866676330566, 1.352269172668457, 1.349574089050293, 1.3469274044036865, 1.3443269729614258, 1.3417706489562988, 1.3392589092254639, 1.3367915153503418, 1.3343663215637207, 1.3319826126098633, 1.329641342163086, 1.3273401260375977, 1.3250775337219238, 1.32285475730896, 1.3206708431243896, 1.3185250759124756, 1.3164141178131104, 1.314340353012085, 1.312438726425171, 1.3102750778198242, 1.3083038330078125, 1.3063669204711914, 1.3046092987060547, 1.302734136581421, 1.3008923530578613, 1.2990798950195312, 1.2972984313964844, 1.2954707145690918, 1.2937486171722412, 1.2920546531677246, 1.2903897762298584, 1.288752555847168, 1.287142276763916, 1.2855570316314697, 1.283998966217041, 1.2824652194976807, 1.2808442115783691, 1.2793622016906738, 1.2776288986206055, 1.2761869430541992, 1.2747693061828613, 1.2733736038208008, 1.272000789642334, 1.27064847946167, 1.2693171501159668, 1.2679994106292725, 1.2667090892791748, 1.2654402256011963, 1.2641918659210205, 1.2626941204071045, 1.2614822387695312, 1.2602818012237549, 1.259105920791626, 1.2579503059387207, 1.2568111419677734, 1.2556884288787842, 1.2545835971832275, 1.253495454788208, 1.2524218559265137, 1.2513649463653564, 1.2503230571746826, 1.249295949935913, 1.248284101486206, 1.2472853660583496, 1.2465460300445557, 1.245577096939087, 1.2446212768554688, 1.2436788082122803, 1.242748498916626, 1.2424731254577637, 1.241567611694336, 1.2406761646270752, 1.2397937774658203, 1.2389233112335205, 1.2380650043487549, 1.2372145652770996, 1.2363758087158203, 1.2355449199676514, 1.2347235679626465, 1.2339117527008057, 1.2331080436706543, 1.2323353290557861, 1.2315475940704346, 1.2307672500610352, 1.230018138885498, 1.2289361953735352, 1.2281763553619385, 1.2274222373962402, 1.226675271987915, 1.2259340286254883, 1.2251965999603271, 1.224466323852539, 1.2236597537994385, 1.2229382991790771, 1.2222225666046143, 1.2215101718902588, 1.22080397605896, 1.2201006412506104, 1.2194018363952637, 1.2187073230743408, 1.2180168628692627, 1.2173278331756592, 1.2164487838745117, 1.2157695293426514, 1.215043067932129, 1.2143702507019043, 1.2137012481689453, 1.2130351066589355, 1.212371826171875, 1.2117104530334473, 1.2110528945922852, 1.2103972434997559, 1.2097444534301758, 1.209094762802124, 1.208446979522705, 1.2078015804290771, 1.2071592807769775, 1.2065186500549316, 1.2058801651000977, 1.205244779586792, 1.2046115398406982, 1.2039806842803955, 1.2033519744873047, 1.202725887298584, 1.2021000385284424, 1.2014782428741455, 1.200857162475586, 1.2002389430999756, 1.199622631072998, 1.199007511138916, 1.1983959674835205, 1.1977851390838623, 1.1971755027770996, 1.196568250656128, 1.1959631443023682, 1.1953589916229248, 1.1947565078735352, 1.1941547393798828, 1.1935555934906006, 1.1929571628570557, 1.1923596858978271, 1.1914830207824707, 1.1908884048461914, 1.1902947425842285, 1.1897015571594238, 1.1893796920776367, 1.1887881755828857, 1.1881968975067139, 1.1876063346862793, 1.1870160102844238, 1.1864259243011475, 1.1858360767364502, 1.1852455139160156, 1.1846563816070557, 1.1840665340423584, 1.1834774017333984, 1.1828880310058594, 1.1822986602783203, 1.181708812713623, 1.181119680404663, 1.180530309677124, 1.179940938949585, 1.1793510913848877, 1.1787619590759277, 1.1781721115112305, 1.1775825023651123, 1.176992416381836, 1.1764018535614014, 1.175811529159546, 1.1752212047576904, 1.1746289730072021, 1.1740388870239258, 1.1734988689422607, 1.1729066371917725, 1.1723148822784424, 1.171722650527954, 1.171128511428833, 1.1705338954925537, 1.169938564300537, 1.169342041015625, 1.1687448024749756, 1.1681461334228516, 1.1675457954406738, 1.166943073272705, 1.16633939743042, 1.1657326221466064, 1.1651244163513184, 1.164513111114502, 1.1638994216918945, 1.1632840633392334, 1.1626648902893066, 1.1623022556304932, 1.161670446395874, 1.1610352993011475, 1.1603970527648926, 1.1597540378570557, 1.1591079235076904, 1.1584570407867432, 1.1578021049499512, 1.1571428775787354, 1.1564788818359375, 1.1558101177215576], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0068605076521635056, -0.003996438812464476, -0.011148082092404366), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0005715324077755213, -0.005267731379717588, -0.016613170504570007), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004942920990288258, -0.000941583130043, -0.010249189101159573), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.037316497415304184, -0.015637675300240517, 0.015851184725761414), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0009484127513132989, -0.005532731767743826, -0.009874126873910427), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00038155465153977275, 0.04091636836528778, 0.014298928901553154), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011280606500804424, -0.02686077356338501, -0.012216194532811642), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0011471450561657548, -0.01911056786775589, -0.0038212640210986137), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0010535061592236161, -0.006272657308727503, -0.009424974210560322), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.08283375203609467, 0.11051499843597412, 0.07087799161672592), (-0.004282243549823761, 0.0941200852394104, -0.09022349119186401)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=31, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.487694501876831, 2.4833693504333496, 22.994884490966797), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.014965109527111053, 4.877644062042236, 23.06610679626465), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4249093532562256, 7.320590972900391, 23.06848907470703), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.206534385681152, 2.4377920627593994, 23.083051681518555), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.80477237701416, 4.870761871337891, 23.08320426940918), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.339598298072815, 7.286642551422119, 23.021684646606445), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.9623823165893555, 2.4564828872680664, 23.091882705688477), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.628171920776367, 4.886539936065674, 23.06281089782715), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.198191165924072, 7.261371612548828, 23.1002197265625), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-0.6702381372451782, 1.295467495918274, 24.715347290039062), (0.1530592441558838, 1.7588664293289185, 25.002304077148438)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0908544063568115, energy_trajectory=[1.9270868301391602, 1.911698818206787, 1.8996734619140625, 1.8881235122680664, 1.876939058303833, 1.8660163879394531, 1.8560938835144043, 1.84666109085083, 1.8377857208251953, 1.8293871879577637, 1.821406364440918, 1.813918113708496, 1.806600570678711, 1.7994108200073242, 1.792719841003418, 1.7861113548278809, 1.7799639701843262, 1.7737016677856445, 1.7675762176513672, 1.7615752220153809, 1.7556827068328857, 1.7498893737792969, 1.7442147731781006, 1.7385883331298828, 1.7328345775604248, 1.727323055267334, 1.7218739986419678, 1.7164785861968994, 1.7111353874206543, 1.7058439254760742, 1.7005867958068848, 1.6953680515289307, 1.690187692642212, 1.6850395202636719, 1.679833173751831, 1.6747450828552246, 1.6696853637695312, 1.6646497249603271, 1.659637689590454, 1.6546480655670166, 1.6498992443084717, 1.6449530124664307, 1.6400258541107178, 1.6351172924041748, 1.6299951076507568, 1.6251144409179688, 1.6205708980560303, 1.615725040435791, 1.610896110534668, 1.6061482429504395, 1.6014118194580078, 1.5966382026672363, 1.5918819904327393, 1.5871450901031494, 1.5824251174926758, 1.5777406692504883, 1.5730628967285156, 1.5684034824371338, 1.5637602806091309, 1.5591375827789307, 1.5545308589935303, 1.549943447113037, 1.545578956604004, 1.5406813621520996, 1.5361449718475342, 1.5316269397735596, 1.5271306037902832, 1.522653579711914, 1.5181982517242432, 1.513763189315796, 1.5093507766723633, 1.5049586296081543, 1.5005898475646973, 1.4962844848632812, 1.4919631481170654, 1.4876644611358643, 1.4833900928497314, 1.4791390895843506, 1.4749135971069336, 1.4707121849060059, 1.466536045074463, 1.4623866081237793, 1.4582624435424805, 1.4541637897491455, 1.4500911235809326, 1.4460980892181396, 1.4421048164367676, 1.4381153583526611, 1.4341537952423096, 1.430217981338501, 1.4263107776641846, 1.4224307537078857, 1.4185786247253418, 1.4147546291351318, 1.410959243774414, 1.4071900844573975, 1.4034502506256104, 1.3997406959533691, 1.3960597515106201, 1.3924081325531006, 1.3886055946350098, 1.3850123882293701, 1.3814482688903809, 1.3779144287109375, 1.3744099140167236, 1.3709361553192139, 1.3677730560302734, 1.3643579483032227, 1.3609745502471924, 1.3573484420776367, 1.354024887084961, 1.3507311344146729, 1.347468614578247, 1.3442363739013672, 1.341033697128296, 1.3378612995147705, 1.334718942642212, 1.3316068649291992, 1.3285505771636963, 1.3254964351654053, 1.322472333908081, 1.3194777965545654, 1.3165130615234375, 1.313577651977539, 1.310671329498291, 1.307793140411377, 1.304943561553955, 1.302123785018921, 1.2989208698272705, 1.2961552143096924, 1.2934181690216064, 1.2907109260559082, 1.2880325317382812, 1.285273790359497, 1.282651424407959, 1.2802026271820068, 1.277639389038086, 1.275104284286499, 1.272599697113037, 1.2701246738433838, 1.2673346996307373, 1.2649168968200684, 1.262528896331787, 1.2601685523986816, 1.257836103439331, 1.2555322647094727, 1.2532553672790527, 1.2510054111480713, 1.2487831115722656, 1.2465875148773193, 1.2444183826446533, 1.2422749996185303, 1.240156888961792, 1.2380638122558594, 1.2359952926635742, 1.2339503765106201, 1.2319300174713135, 1.2300243377685547, 1.2285869121551514, 1.2266278266906738, 1.224839448928833, 1.222923755645752, 1.2210273742675781, 1.2191524505615234, 1.2172954082489014, 1.2154583930969238, 1.213639259338379, 1.211883783340454, 1.210099697113037, 1.2083368301391602, 1.2065906524658203, 1.2048630714416504, 1.2031524181365967, 1.20145845413208, 1.1997811794281006, 1.1982767581939697, 1.196643352508545, 1.1950321197509766, 1.1934430599212646, 1.19187593460083, 1.1903305053710938, 1.1885647773742676, 1.1870625019073486, 1.185582160949707, 1.1841208934783936, 1.182680606842041, 1.180999994277954, 1.1796009540557861, 1.178222417831421, 1.176863193511963, 1.1755235195159912, 1.1742026805877686, 1.1729011535644531, 1.1716179847717285, 1.1703529357910156, 1.1688599586486816, 1.1676311492919922, 1.1664180755615234, 1.1652214527130127, 1.1640417575836182, 1.162877082824707, 1.161729097366333, 1.160426139831543, 1.1593081951141357, 1.158205270767212, 1.1560654640197754, 1.1549978256225586, 1.1539437770843506, 1.1529021263122559, 1.1518733501434326, 1.1508569717407227, 1.1498517990112305, 1.148890495300293, 1.1479084491729736, 1.1471221446990967, 1.1461610794067383, 1.1452100276947021, 1.14436674118042, 1.1434340476989746, 1.1425116062164307, 1.141596794128418, 1.1406912803649902, 1.139794111251831, 1.1389048099517822, 1.138023853302002, 1.137150526046753, 1.1360981464385986, 1.135239839553833, 1.1343896389007568, 1.1332745552062988, 1.1324143409729004, 1.131310224533081, 1.1304872035980225, 1.1296706199645996, 1.1288607120513916, 1.1280577182769775, 1.1272618770599365, 1.1263391971588135, 1.1255533695220947, 1.12477445602417, 1.1240026950836182, 1.123236894607544, 1.122415542602539, 1.1214523315429688, 1.1207084655761719, 1.1199703216552734, 1.119239330291748, 1.1184463500976562, 1.1177306175231934, 1.1170203685760498, 1.1163179874420166, 1.1156227588653564, 1.1149353981018066, 1.1142542362213135, 1.1135807037353516, 1.1129145622253418, 1.1122562885284424, 1.111604928970337, 1.1108357906341553, 1.1102001667022705, 1.1093804836273193, 1.1087605953216553, 1.1081480979919434, 1.107544183731079, 1.106947898864746, 1.1063594818115234, 1.1057794094085693, 1.1052067279815674, 1.104642629623413, 1.104085922241211, 1.1035377979278564, 1.1029975414276123, 1.1024649143218994, 1.101940631866455, 1.1014244556427002, 1.1009161472320557, 1.1004149913787842, 1.0999228954315186, 1.0994377136230469, 1.0989606380462646, 1.0986692905426025, 1.098210334777832, 1.0977578163146973, 1.0973124504089355, 1.0968742370605469, 1.0964438915252686, 1.0960211753845215, 1.0956034660339355, 1.0951941013336182, 1.0947911739349365, 1.0943937301635742, 1.0940029621124268, 1.0936176776885986, 1.0932385921478271, 1.092808485031128, 1.0924389362335205, 1.0920748710632324, 1.0917165279388428, 1.0911998748779297, 1.0908544063568115], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05353548750281334, -0.026344843208789825, 0.016254225745797157), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.022999389097094536, -0.013441321440041065, -0.007071683183312416), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.027620330452919006, -0.00784676056355238, -0.007028975989669561), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02330472506582737, -0.009559868834912777, -0.008064971305429935), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02318856492638588, -0.013110984116792679, -0.007910830900073051), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01820104941725731, -0.0066172657534480095, -0.00421072356402874), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0030060112476348877, -0.021407688036561012, -0.007707787677645683), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.020230010151863098, -0.012631211429834366, -0.009151201695203781), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.024162856861948967, 0.001509685069322586, -0.009180025197565556), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.017523765563964844, -0.04983619228005409, -0.008753842674195766), (-0.06944775581359863, -0.012331366539001465, 0.044097062200307846)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=32, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3994011878967285, 2.4299991130828857, 23.035106658935547), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.01486779935657978, 4.865784168243408, 23.06756591796875), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4152721166610718, 7.276949882507324, 23.038280487060547), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.259206295013428, 2.4012839794158936, 23.14261817932129), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8278212547302246, 4.877509593963623, 23.047861099243164), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4414749145507812, 7.28722620010376, 23.04371452331543), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.080122470855713, 2.425976037979126, 23.053491592407227), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.658099174499512, 4.8678388595581055, 23.050994873046875), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.242753982543945, 7.308332920074463, 23.061717987060547), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (3.935588836669922, 2.088742971420288, 25.098329544067383), (4.530621528625488, 1.3497810363769531, 25.351070404052734)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0413625240325928, energy_trajectory=[1.368417501449585, 1.3607063293457031, 1.3534910678863525, 1.3464391231536865, 1.3396809101104736, 1.3332023620605469, 1.3269710540771484, 1.3209595680236816, 1.315145492553711, 1.3094336986541748, 1.3039538860321045, 1.298619031906128, 1.2934131622314453, 1.2883281707763672, 1.2833549976348877, 1.2784888744354248, 1.27372407913208, 1.2689523696899414, 1.2643928527832031, 1.2599377632141113, 1.2555861473083496, 1.2513389587402344, 1.2471966743469238, 1.2431600093841553, 1.2391371726989746, 1.2353127002716064, 1.2315905094146729, 1.227876901626587, 1.2245395183563232, 1.2211227416992188, 1.217804193496704, 1.2145819664001465, 1.2112464904785156, 1.208225965499878, 1.205291986465454, 1.2024435997009277, 1.1996827125549316, 1.1970067024230957, 1.194676160812378, 1.192169189453125, 1.1897361278533936, 1.1873791217803955, 1.184922695159912, 1.1827120780944824, 1.1807334423065186, 1.1786563396453857, 1.1766433715820312, 1.1746931076049805, 1.1728034019470215, 1.1709721088409424, 1.1691977977752686, 1.1674752235412598, 1.1658055782318115, 1.164184808731079, 1.162611722946167, 1.161083698272705, 1.1595993041992188, 1.1581573486328125, 1.1568341255187988, 1.1554696559906006, 1.1541359424591064, 1.1528453826904297, 1.1515896320343018, 1.150367021560669, 1.1491773128509521, 1.1480190753936768, 1.1468925476074219, 1.1457951068878174, 1.1447272300720215, 1.1436867713928223, 1.1426734924316406, 1.141688585281372, 1.1407294273376465, 1.1397960186004639, 1.1388883590698242, 1.1380071640014648, 1.137148380279541, 1.1363160610198975, 1.1355078220367432, 1.13472318649292, 1.133962869644165, 1.133225917816162, 1.1325123310089111, 1.131821870803833, 1.1311540603637695, 1.130506992340088, 1.1298820972442627, 1.1292777061462402, 1.1286916732788086, 1.1281254291534424, 1.127575397491455, 1.127042293548584, 1.1265251636505127, 1.126023292541504, 1.1255362033843994, 1.125063419342041, 1.1246042251586914, 1.1239228248596191, 1.1235053539276123, 1.1230120658874512, 1.122563362121582, 1.122248888015747, 1.1218652725219727, 1.121492862701416, 1.1211309432983398, 1.1207771301269531, 1.1204323768615723, 1.119933843612671, 1.1196010112762451, 1.119272232055664, 1.1189460754394531, 1.1186223030090332, 1.1182489395141602, 1.1179275512695312, 1.1176049709320068, 1.1172807216644287, 1.1169557571411133, 1.1166284084320068, 1.1162991523742676, 1.1159675121307373, 1.1158089637756348, 1.115466833114624, 1.1151204109191895, 1.1148204803466797, 1.1144678592681885, 1.1141130924224854, 1.1137547492980957, 1.113382339477539, 1.1128132343292236, 1.1124484539031982, 1.1120822429656982, 1.1117138862609863, 1.1113433837890625, 1.1109707355499268, 1.1105973720550537, 1.1102850437164307, 1.1099109649658203, 1.1095356941223145, 1.1091606616973877, 1.1087851524353027, 1.1084096431732178, 1.1080348491668701, 1.1076595783233643, 1.1071786880493164, 1.1068034172058105, 1.1064283847808838, 1.106053113937378, 1.105412244796753, 1.1050386428833008, 1.1046667098999023, 1.104295253753662, 1.10392427444458, 1.103553295135498, 1.1031835079193115, 1.102687120437622, 1.1023931503295898, 1.1017296314239502, 1.101351261138916, 1.1009724140167236, 1.1005921363830566, 1.1002109050750732, 1.0998287200927734, 1.0994455814361572, 1.0990610122680664, 1.0986742973327637, 1.0982861518859863, 1.0978949069976807, 1.097501516342163, 1.0971040725708008, 1.0967042446136475, 1.0963006019592285, 1.0958924293518066, 1.0954806804656982, 1.095064401626587, 1.0946435928344727, 1.0942180156707764, 1.0937881469726562, 1.0933520793914795, 1.0928549766540527, 1.0924100875854492, 1.0919620990753174, 1.091508388519287, 1.0910508632659912, 1.0905897617340088, 1.0901234149932861, 1.0891625881195068, 1.0886857509613037, 1.0882060527801514, 1.0877249240875244, 1.0870721340179443, 1.08658766746521, 1.085974931716919, 1.0854885578155518, 1.0848329067230225, 1.0844519138336182, 1.083967685699463, 1.0834848880767822, 1.0830044746398926, 1.0825247764587402, 1.082129716873169, 1.0816552639007568, 1.0811858177185059, 1.0807194709777832, 1.080256700515747, 1.0797984600067139, 1.0792973041534424, 1.078848123550415, 1.078319787979126, 1.077894687652588, 1.0774595737457275, 1.0769550800323486, 1.076484203338623, 1.076061725616455, 1.0756406784057617, 1.0752246379852295, 1.0747036933898926, 1.0743002891540527, 1.0738990306854248, 1.0735447406768799, 1.073145866394043, 1.0727462768554688, 1.0723488330841064, 1.0719516277313232, 1.071554183959961, 1.0709757804870605, 1.0705757141113281, 1.0701746940612793, 1.0697579383850098, 1.0693285465240479, 1.0691328048706055, 1.0687246322631836, 1.068314552307129, 1.0679028034210205, 1.0674891471862793, 1.0671601295471191, 1.0667407512664795, 1.0663201808929443, 1.0676589012145996, 1.0673000812530518, 1.0668599605560303, 1.066420078277588, 1.06597900390625, 1.0655369758605957, 1.065094232559204, 1.0646514892578125, 1.0642077922821045, 1.063762903213501, 1.0633199214935303, 1.062878131866455, 1.0624370574951172, 1.0619959831237793, 1.061556339263916, 1.0611183643341064, 1.0606820583343506, 1.0602481365203857, 1.0598170757293701, 1.05938720703125, 1.0589613914489746, 1.058537483215332, 1.0581169128417969, 1.0576984882354736, 1.0572829246520996, 1.0568697452545166, 1.0564589500427246, 1.0560505390167236, 1.0557172298431396, 1.0553126335144043, 1.0549092292785645, 1.0545084476470947, 1.0541083812713623, 1.053710699081421, 1.0533132553100586, 1.053006887435913, 1.0526118278503418, 1.0522191524505615, 1.0518279075622559, 1.051225185394287, 1.0508382320404053, 1.0504534244537354, 1.0500695705413818, 1.0496878623962402, 1.0493087768554688, 1.0489311218261719, 1.0485541820526123, 1.048180341720581, 1.047044038772583, 1.0466458797454834, 1.0462093353271484, 1.045811653137207, 1.0454835891723633, 1.045090913772583, 1.0446994304656982, 1.0443120002746582, 1.0439269542694092, 1.0435428619384766, 1.043161153793335, 1.0424680709838867, 1.0420989990234375, 1.0417304039001465, 1.0413625240325928], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01274590753018856, 0.0008660631137900054, -5.534010779228993e-05), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004490843042731285, -0.0009481356246396899, 0.006019380874931812), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0017992539796978235, -0.0007907379767857492, 0.005183983128517866), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0009525847854092717, 0.011627527885138988, 0.0022037974558770657), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007539249956607819, 0.001914086751639843, 0.0005333839799277484), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004978526383638382, -0.0008379280334338546, -0.002556858118623495), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0025179055519402027, -0.0023777917958796024, 0.003440059954300523), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0010784192709252238, 0.005053498782217503, 0.0036988435313105583), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004537572152912617, -0.0009402877185493708, 0.006327509414404631), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.08323220163583755, 0.10444507747888565, 0.015970837324857712), (0.0008638501749373972, 0.0497204065322876, 0.028490807861089706)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=33, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.389215350151062, 2.5229177474975586, 23.0406436920166), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.024743668735027313, 4.995599746704102, 23.046234130859375), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4175328016281128, 7.437489032745361, 23.07314682006836), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.238280773162842, 2.526803731918335, 23.04250144958496), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8123977184295654, 5.005141735076904, 23.127506256103516), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3960859775543213, 7.451930999755859, 23.05776023864746), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.045961856842041, 2.5506410598754883, 23.070981979370117), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.6520609855651855, 4.996129035949707, 23.046344757080078), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.231222152709961, 7.4509968757629395, 23.05940818786621), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (2.7760584354400635, 4.759902000427246, 25.112329483032227), (2.7754526138305664, 5.654918670654297, 25.50983428955078)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0085608959197998, energy_trajectory=[1.1581623554229736, 1.1493771076202393, 1.1416678428649902, 1.1338496208190918, 1.1262147426605225, 1.1188023090362549, 1.1116013526916504, 1.1045951843261719, 1.0977802276611328, 1.0911517143249512, 1.0847055912017822, 1.078437328338623, 1.0723443031311035, 1.0664241313934326, 1.060675859451294, 1.0552303791046143, 1.0502970218658447, 1.0458061695098877, 1.0419514179229736, 1.0381975173950195, 1.034752368927002, 1.0315890312194824, 1.028684139251709, 1.0260155200958252, 1.023700475692749, 1.0214695930480957, 1.0194132328033447, 1.0175299644470215, 1.0157849788665771, 1.014204740524292, 1.0127544403076172, 1.0114212036132812, 1.010193109512329, 1.009056568145752, 1.0080029964447021, 1.0070202350616455, 1.0060999393463135, 1.0052318572998047, 1.004408359527588, 1.0036227703094482, 1.0028667449951172, 1.0021371841430664, 1.0014288425445557, 1.0007374286651611, 1.0000617504119873, 0.9994001984596252, 0.9987538456916809, 0.9981233477592468, 0.9975133538246155, 0.996924102306366, 0.9963615536689758, 0.9958286881446838, 0.9953277707099915, 0.9948627352714539, 0.9944326281547546, 0.9940407872200012, 0.9936855435371399, 0.9933646321296692, 0.9930803179740906, 0.992827832698822, 0.9926943182945251, 0.9925026297569275, 0.9923377633094788, 0.9921981692314148, 0.9920818209648132, 0.9919891953468323, 0.9919158816337585, 0.9917410016059875, 0.9917085766792297, 0.991693913936615, 0.9916955828666687, 0.991717517375946, 0.9913851618766785, 0.9914029240608215, 0.9913648962974548, 0.991445004940033, 0.9915377497673035, 0.9916455149650574, 0.9917657971382141, 0.9918981194496155, 0.9920410513877869, 0.9921955466270447, 0.9923614859580994, 0.9925366044044495, 0.99272221326828, 0.9927658438682556, 0.9929718375205994, 0.9931866526603699, 0.9930111765861511, 0.9932687878608704, 0.9925795197486877, 0.9928142428398132, 0.9930670857429504, 0.9933298230171204, 0.9937062859535217, 0.9939890503883362, 0.994283139705658, 0.9945858120918274, 0.9949011206626892, 0.9952269196510315, 0.9954107403755188, 0.9957614541053772, 0.9961207509040833, 0.9964675307273865, 0.9968497157096863, 0.9966959357261658, 0.9970929026603699, 0.9975168108940125, 0.9979544281959534, 0.9984063506126404, 0.9988768696784973, 0.999359667301178, 0.9996948838233948, 1.000208854675293, 1.000739574432373, 1.0012271404266357, 1.0017848014831543, 1.0023541450500488, 1.0029380321502686, 1.0035324096679688, 1.0041658878326416, 1.0047821998596191, 1.0054075717926025, 1.0060324668884277, 1.0067050457000732, 1.0073542594909668, 1.0080101490020752, 1.0081861019134521, 1.008854866027832, 1.0095248222351074, 1.0101985931396484, 1.0108871459960938, 1.0114989280700684, 1.0121710300445557, 1.0128426551818848, 1.0135109424591064, 1.0141284465789795, 1.0147898197174072, 1.0154151916503906, 1.015852928161621, 1.0164999961853027, 1.017141342163086, 1.0177772045135498, 1.0184078216552734, 1.0190320014953613, 1.0195724964141846, 1.020183801651001, 1.0207886695861816, 1.0213878154754639, 1.0219807624816895, 1.0225656032562256, 1.023195743560791, 1.0236856937408447, 1.0242562294006348, 1.0248472690582275, 1.0254037380218506, 1.0259630680084229, 1.02650785446167, 1.0269153118133545, 1.0271046161651611, 1.0274856090545654, 1.0279912948608398, 1.0283164978027344, 1.0287718772888184, 1.0292339324951172, 1.029578685760498, 1.0300054550170898, 1.0304558277130127, 1.0308425426483154, 1.0311567783355713, 1.0315721035003662, 1.0321338176727295, 1.0323257446289062, 1.0325961112976074, 1.0323104858398438, 1.0325398445129395, 1.0327436923980713, 1.0329210758209229, 1.0330722332000732, 1.033198356628418, 1.033299207687378, 1.0333735942840576, 1.0332322120666504, 1.033069372177124, 1.033496379852295, 1.0334830284118652, 1.0334455966949463, 1.0333869457244873, 1.0337855815887451, 1.0337858200073242, 1.033668041229248, 1.033449649810791, 1.033292531967163, 1.0331175327301025, 1.032928228378296, 1.0327227115631104, 1.0325050354003906, 1.032273530960083, 1.0320298671722412, 1.0317771434783936, 1.0321757793426514, 1.0319018363952637, 1.0316226482391357, 1.0313351154327393, 1.0310404300689697, 1.03074049949646, 1.0304343700408936, 1.0301244258880615, 1.029810905456543, 1.029803991317749, 1.029489517211914, 1.0291717052459717, 1.0288519859313965, 1.0285334587097168, 1.028212547302246, 1.0278923511505127, 1.0275697708129883, 1.0272469520568848, 1.026925802230835, 1.0266070365905762, 1.0262892246246338, 1.0259730815887451, 1.0256597995758057, 1.02534818649292, 1.0250401496887207, 1.0247337818145752, 1.0245275497436523, 1.0242269039154053, 1.0239267349243164, 1.0236313343048096, 1.0233385562896729, 1.0230510234832764, 1.0227651596069336, 1.0224814414978027, 1.0222032070159912, 1.022057294845581, 1.0217852592468262, 1.0215153694152832, 1.0212438106536865, 1.0209743976593018, 1.0207085609436035, 1.0204455852508545, 1.020185947418213, 1.0199289321899414, 1.0196738243103027, 1.0196514129638672, 1.0193939208984375, 1.0191452503204346, 1.0188989639282227, 1.0186564922332764, 1.018416166305542, 1.0181801319122314, 1.0179457664489746, 1.0177135467529297, 1.0174853801727295, 1.0172600746154785, 1.0170366764068604, 1.0164504051208496, 1.0162324905395508, 1.0162672996520996, 1.0160539150238037, 1.0158519744873047, 1.0156443119049072, 1.0154385566711426, 1.015235185623169, 1.0148038864135742, 1.0146000385284424, 1.0143978595733643, 1.0141971111297607, 1.0139973163604736, 1.0135562419891357, 1.0133554935455322, 1.012970209121704, 1.0127687454223633, 1.0125677585601807, 1.0123672485351562, 1.0121667385101318, 1.011967420578003, 1.0117664337158203, 1.011559009552002, 1.0110414028167725, 1.010847568511963, 1.0106534957885742, 1.0104048252105713, 1.0103154182434082, 1.0101182460784912, 1.0099208354949951, 1.0099396705627441, 1.009737253189087, 1.009535312652588, 1.009333610534668, 1.0091314315795898, 1.00892972946167, 1.0085701942443848, 1.0092105865478516, 1.0090174674987793, 1.0088231563568115, 1.0086848735809326, 1.0087599754333496, 1.0085608959197998], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008800247684121132, -0.04437003657221794, -0.002851107157766819), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005976609420031309, -0.05552220717072487, -0.0011575386160984635), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001813638722524047, -0.05384543538093567, -0.00596570922061801), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0035141627304255962, -0.0459245964884758, -0.00414308113977313), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009497688151896, -0.03861771151423454, 0.03605208173394203), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00039006758015602827, -0.054619502276182175, -0.003078714245930314), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0027449585031718016, -0.05383266881108284, -0.006518018431961536), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0012859496055170894, -0.056483957916498184, -0.00039768777787685394), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006215909030288458, -0.054536886513233185, -0.0039749713614583015), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.018458878621459007, 0.036896541714668274, 0.04084618389606476), (-0.00258532352745533, 0.04862070083618164, 0.0025310488417744637)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=34, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4524245262145996, 2.4345083236694336, 23.067718505859375), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.06024350970983505, 4.876763343811035, 23.04371452331543), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3602203130722046, 7.336528778076172, 23.04408073425293), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.264213562011719, 2.4187517166137695, 23.048505783081055), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.845005989074707, 4.880022048950195, 23.047330856323242), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4520725011825562, 7.319533348083496, 23.0698184967041), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.10308313369751, 2.4165635108947754, 23.051401138305664), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.691105842590332, 4.864760875701904, 23.131263732910156), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.260556697845459, 7.337784290313721, 23.04411506652832), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-2.758368968963623, 4.945658206939697, 25.12856674194336), (-1.8303171396255493, 4.75811243057251, 25.384904861450195)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9985865950584412, energy_trajectory=[1.7210500240325928, 1.710519790649414, 1.7023320198059082, 1.694654941558838, 1.6866662502288818, 1.6788156032562256, 1.6710810661315918, 1.6635651588439941, 1.6559929847717285, 1.6484732627868652, 1.6408836841583252, 1.633427619934082, 1.6259880065917969, 1.6185626983642578, 1.611144781112671, 1.6037321090698242, 1.5963225364685059, 1.5890088081359863, 1.581613302230835, 1.5742321014404297, 1.566864252090454, 1.559516191482544, 1.552189588546753, 1.544914960861206, 1.5376405715942383, 1.5303425788879395, 1.5231258869171143, 1.5159637928009033, 1.5088081359863281, 1.5016872882843018, 1.4945995807647705, 1.48756742477417, 1.480555772781372, 1.4735827445983887, 1.4666473865509033, 1.459749460220337, 1.4528899192810059, 1.4460713863372803, 1.4392967224121094, 1.4325644969940186, 1.4258761405944824, 1.419213056564331, 1.4126110076904297, 1.4060566425323486, 1.3995521068572998, 1.3930981159210205, 1.3866958618164062, 1.3803493976593018, 1.3740582466125488, 1.367821455001831, 1.361640214920044, 1.3555140495300293, 1.3494453430175781, 1.3435475826263428, 1.337594985961914, 1.3315589427947998, 1.3257222175598145, 1.3199446201324463, 1.3142268657684326, 1.3085682392120361, 1.3027913570404053, 1.297255277633667, 1.291780710220337, 1.2863678932189941, 1.281017541885376, 1.2758872509002686, 1.2706704139709473, 1.2655174732208252, 1.260434627532959, 1.2562673091888428, 1.2514488697052002, 1.2466318607330322, 1.2419037818908691, 1.2372562885284424, 1.2326858043670654, 1.2280476093292236, 1.223633050918579, 1.21929931640625, 1.21504545211792, 1.2108678817749023, 1.2067692279815674, 1.2024376392364502, 1.198486328125, 1.1945226192474365, 1.1907150745391846, 1.1869792938232422, 1.1830437183380127, 1.1794466972351074, 1.175917387008667, 1.1726412773132324, 1.1692471504211426, 1.165924072265625, 1.1626641750335693, 1.159468173980713, 1.1563396453857422, 1.153275728225708, 1.1502773761749268, 1.147343635559082, 1.1444754600524902, 1.1416709423065186, 1.1389296054840088, 1.136277675628662, 1.1336677074432373, 1.1311206817626953, 1.1286380290985107, 1.1262164115905762, 1.123844861984253, 1.1215441226959229, 1.1195743083953857, 1.11738920211792, 1.1151037216186523, 1.113029956817627, 1.1110117435455322, 1.1090476512908936, 1.1069014072418213, 1.1050403118133545, 1.1033384799957275, 1.1027264595031738, 1.100893497467041, 1.0992321968078613, 1.0976159572601318, 1.0962722301483154, 1.094738245010376, 1.0932464599609375, 1.0917901992797852, 1.0903723239898682, 1.0889925956726074, 1.0876457691192627, 1.0863335132598877, 1.0850536823272705, 1.0838065147399902, 1.0825903415679932, 1.081404209136963, 1.0802476406097412, 1.0791208744049072, 1.078019618988037, 1.0769927501678467, 1.0759482383728027, 1.0749287605285645, 1.0739367008209229, 1.072969913482666, 1.072028398513794, 1.071112871170044, 1.0702216625213623, 1.0692667961120605, 1.0684270858764648, 1.0676088333129883, 1.0668132305145264, 1.0660419464111328, 1.0653350353240967, 1.0646052360534668, 1.0638959407806396, 1.063204288482666, 1.0625317096710205, 1.0618195533752441, 1.0611763000488281, 1.0606689453125, 1.059859275817871, 1.0592529773712158, 1.0586566925048828, 1.0580687522888184, 1.057504415512085, 1.0569310188293457, 1.0563623905181885, 1.0557963848114014, 1.0552334785461426, 1.054710865020752, 1.0530750751495361, 1.0524826049804688, 1.051898717880249, 1.0513169765472412, 1.050611972808838, 1.0500354766845703, 1.0494604110717773, 1.048887014389038, 1.0483155250549316, 1.047746181488037, 1.0471785068511963, 1.0466132164001465, 1.046050786972046, 1.0453221797943115, 1.0447609424591064, 1.0442028045654297, 1.0436458587646484, 1.043092966079712, 1.0425443649291992, 1.0419971942901611, 1.041454792022705, 1.0409142971038818, 1.0403759479522705, 1.039841890335083, 1.0393109321594238, 1.0387823581695557, 1.0382583141326904, 1.0377366542816162, 1.037217378616333, 1.036700963973999, 1.0361855030059814, 1.0357251167297363, 1.0352153778076172, 1.0347075462341309, 1.0342023372650146, 1.033890724182129, 1.033390998840332, 1.0328927040100098, 1.0325393676757812, 1.0320477485656738, 1.0313591957092285, 1.030869722366333, 1.0303819179534912, 1.0298967361450195, 1.0294129848480225, 1.0289311408996582, 1.0284521579742432, 1.0279762744903564, 1.0275018215179443, 1.0268075466156006, 1.0263359546661377, 1.025867223739624, 1.0254008769989014, 1.0249366760253906, 1.0244746208190918, 1.0240137577056885, 1.0235581398010254, 1.0231025218963623, 1.0226526260375977, 1.022202491760254, 1.0217559337615967, 1.0213603973388672, 1.020920991897583, 1.0204830169677734, 1.0200490951538086, 1.0196166038513184, 1.019188404083252, 1.0187618732452393, 1.0183391571044922, 1.0179188251495361, 1.017503261566162, 1.0170884132385254, 1.016676664352417, 1.0162689685821533, 1.015864372253418, 1.015465497970581, 1.0150682926177979, 1.0146770477294922, 1.0142862796783447, 1.0139014720916748, 1.0134105682373047, 1.013031005859375, 1.012655258178711, 1.0122859477996826, 1.0119197368621826, 1.0112593173980713, 1.010899543762207, 1.0105462074279785, 1.0101966857910156, 1.0098505020141602, 1.0095088481903076, 1.0091333389282227, 1.0087993144989014, 1.0084681510925293, 1.008141040802002, 1.0075621604919434, 1.0072407722473145, 1.0069239139556885, 1.0066096782684326, 1.0062997341156006, 1.005993366241455, 1.0056922435760498, 1.0053925514221191, 1.005096435546875, 1.004894733428955, 1.004605770111084, 1.004317283630371, 1.0040316581726074, 1.0037500858306885, 1.0034699440002441, 1.0031938552856445, 1.0029191970825195, 1.0026471614837646, 1.002377986907959, 1.0021114349365234, 1.001847267150879, 1.0015861988067627, 1.0013272762298584, 1.0010695457458496, 1.000814437866211, 1.000560998916626, 1.000309705734253, 1.0000600814819336, 0.9998123049736023, 0.9997363686561584, 1.000260829925537, 1.0000171661376953, 0.9997771382331848, 0.9995360970497131, 0.9992988705635071, 0.9990594983100891, 0.9988225102424622, 0.9985865950584412], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013411665335297585, 0.0002111347421305254, -0.0029673913959413767), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01074707880616188, 0.0034299842081964016, 0.004265200346708298), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013790059834718704, 0.001107124495320022, -0.0005563804879784584), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01421736553311348, -0.0013486959505826235, -0.0032477732747793198), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01556047610938549, -0.00016930564015638083, -0.004709565546363592), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012554412707686424, 0.00083015242125839, -0.0028114872984588146), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013050380162894726, -0.0014870398445054889, -0.004045058041810989), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0020642075687646866, 3.141737761325203e-05, 0.0092634167522192), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013484434224665165, 0.0015608497196808457, -0.0014825622783973813), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.017458351328969002, -0.0126930708065629, 0.00280608213506639), (-0.026626013219356537, 0.00019302820146549493, 0.0560268834233284)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=35, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4039808511734009, 2.4423305988311768, 23.125877380371094), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.0025534317828714848, 4.914475440979004, 23.04901123046875), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3883644342422485, 7.321804046630859, 23.047868728637695), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.257045745849609, 2.453228712081909, 23.043834686279297), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8406264781951904, 4.905831813812256, 23.041540145874023), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.424249529838562, 7.339756965637207, 23.06561851501465), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.041261672973633, 2.4549100399017334, 23.045997619628906), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.654914379119873, 4.894903182983398, 23.068893432617188), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.234673023223877, 7.3173909187316895, 23.047378540039062), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.3880400657653809, 2.448349952697754, 25.12500762939453), (2.2087271213531494, 2.915229082107544, 25.389169692993164)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9976685643196106, energy_trajectory=[1.6869969367980957, 1.6770713329315186, 1.6679296493530273, 1.6588284969329834, 1.64988374710083, 1.6410987377166748, 1.6324677467346191, 1.6239650249481201, 1.615534782409668, 1.6070764064788818, 1.598722219467163, 1.5904796123504639, 1.5822720527648926, 1.574096441268921, 1.565943956375122, 1.5578157901763916, 1.5497074127197266, 1.5416204929351807, 1.5335640907287598, 1.5255379676818848, 1.5175447463989258, 1.5095915794372559, 1.5016767978668213, 1.4938042163848877, 1.4859719276428223, 1.4781863689422607, 1.4704456329345703, 1.462754249572754, 1.4551143646240234, 1.447523593902588, 1.4399843215942383, 1.4325003623962402, 1.425069808959961, 1.4176926612854004, 1.4103717803955078, 1.403109073638916, 1.3959076404571533, 1.3887672424316406, 1.381687879562378, 1.3746776580810547, 1.3677282333374023, 1.3608717918395996, 1.3541054725646973, 1.3474304676055908, 1.3408479690551758, 1.334355115890503, 1.3279550075531006, 1.321643590927124, 1.315424919128418, 1.3092966079711914, 1.3032593727111816, 1.2973103523254395, 1.2914516925811768, 1.2856810092926025, 1.280104398727417, 1.2744972705841064, 1.268977403640747, 1.2635390758514404, 1.2581846714019775, 1.252913475036621, 1.2477233409881592, 1.242762565612793, 1.237736463546753, 1.2327957153320312, 1.2279419898986816, 1.2231721878051758, 1.218567132949829, 1.2139692306518555, 1.2094554901123047, 1.2050282955169678, 1.200655460357666, 1.1964020729064941, 1.1922328472137451, 1.1881451606750488, 1.1841473579406738, 1.1802318096160889, 1.1763122081756592, 1.1725635528564453, 1.1688928604125977, 1.1655840873718262, 1.1620736122131348, 1.158637523651123, 1.1551494598388672, 1.151860237121582, 1.148641586303711, 1.1454944610595703, 1.142418384552002, 1.1394939422607422, 1.1365573406219482, 1.1336877346038818, 1.1308856010437012, 1.1284856796264648, 1.1258137226104736, 1.1232073307037354, 1.1210541725158691, 1.1185612678527832, 1.1161303520202637, 1.1137604713439941, 1.1114513874053955, 1.1092040538787842, 1.1070165634155273, 1.1048874855041504, 1.1028201580047607, 1.10080885887146, 1.0988514423370361, 1.0969500541687012, 1.0950067043304443, 1.0932106971740723, 1.0914676189422607, 1.089686393737793, 1.0880415439605713, 1.0864448547363281, 1.0848963260650635, 1.0836889743804932, 1.082230567932129, 1.0808160305023193, 1.0794451236724854, 1.0780718326568604, 1.0767817497253418, 1.0755300521850586, 1.0743181705474854, 1.0731418132781982, 1.0719995498657227, 1.0708916187286377, 1.0698165893554688, 1.0687732696533203, 1.0677578449249268, 1.0667710304260254, 1.0658116340637207, 1.064878225326538, 1.0639679431915283, 1.0630812644958496, 1.0622193813323975, 1.0613865852355957, 1.0598492622375488, 1.0590226650238037, 1.0582177639007568, 1.0574321746826172, 1.056663990020752, 1.0559144020080566, 1.0551838874816895, 1.054448127746582, 1.053750991821289, 1.053070068359375, 1.0524013042449951, 1.0517480373382568, 1.0511648654937744, 1.0504298210144043, 1.0498123168945312, 1.0492048263549805, 1.0486085414886475, 1.048020601272583, 1.047438144683838, 1.0468649864196777, 1.0462956428527832, 1.045731544494629, 1.046417236328125, 1.0458595752716064, 1.0453033447265625, 1.0447521209716797, 1.0442028045654297, 1.0436556339263916, 1.042872667312622, 1.042330026626587, 1.0417907238006592, 1.041252851486206, 1.040717601776123, 1.0401859283447266, 1.0396547317504883, 1.0391266345977783, 1.0386018753051758, 1.0380816459655762, 1.0375657081604004, 1.0369281768798828, 1.0361144542694092, 1.0355191230773926, 1.0350127220153809, 1.0345089435577393, 1.0340101718902588, 1.033515453338623, 1.033024787902832, 1.0325376987457275, 1.0320556163787842, 1.0315775871276855, 1.031104326248169, 1.0306353569030762, 1.030656099319458, 1.0301928520202637, 1.0294315814971924, 1.0289766788482666, 1.028527021408081, 1.0280821323394775, 1.0276415348052979, 1.027205228805542, 1.0267729759216309, 1.0263447761535645, 1.0257890224456787, 1.0253016948699951, 1.0248854160308838, 1.0244719982147217, 1.024064302444458, 1.0236566066741943, 1.02325439453125, 1.0228559970855713, 1.0224590301513672, 1.021880865097046, 1.0214905738830566, 1.0211036205291748, 1.0207204818725586, 1.020341157913208, 1.019963264465332, 1.0195887088775635, 1.019761085510254, 1.0193901062011719, 1.0190227031707764, 1.0182130336761475, 1.0178463459014893, 1.0174825191497803, 1.0171222686767578, 1.0168414115905762, 1.0163826942443848, 1.0160284042358398, 1.015676736831665, 1.0153286457061768, 1.0149900913238525, 1.0146477222442627, 1.0143074989318848, 1.0139691829681396, 1.0136346817016602, 1.0133030414581299, 1.012974500656128, 1.012648344039917, 1.0123248100280762, 1.0119500160217285, 1.011634111404419, 1.0113210678100586, 1.0110127925872803, 1.0107059478759766, 1.0104005336761475, 1.010098934173584, 1.009800910949707, 1.0095057487487793, 1.009213924407959, 1.008924961090088, 1.0086400508880615, 1.0083584785461426, 1.008080244064331, 1.0078041553497314, 1.0075657367706299, 1.0072968006134033, 1.0070316791534424, 1.0067822933197021, 1.006523609161377, 1.0062692165374756, 1.0060181617736816, 1.0057690143585205, 1.0055243968963623, 1.0052814483642578, 1.0050435066223145, 1.0048067569732666, 1.0045735836029053, 1.004343032836914, 1.0041158199310303, 1.003891944885254, 1.0036697387695312, 1.0034501552581787, 1.003175973892212, 1.0029926300048828, 1.0027799606323242, 1.002570390701294, 1.0023629665374756, 1.002157211303711, 1.0019543170928955, 1.00184965133667, 1.0017564296722412, 1.0017037391662598, 1.0015108585357666, 1.0013184547424316, 1.0011277198791504, 1.0013132095336914, 1.0011262893676758, 1.000941276550293, 1.0007562637329102, 1.000572919845581, 1.0003879070281982, 1.0002057552337646, 1.0000228881835938, 0.9998406767845154, 0.9996563792228699, 0.9994729161262512, 0.9992899298667908, 0.9991064667701721, 0.9989252686500549, 0.9987432360649109, 0.9985622763633728, 0.9983815550804138, 0.9982022643089294, 0.9980233311653137, 0.9978457093238831, 0.9976685643196106], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008211024105548859, 0.005439729429781437, 0.01712634228169918), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011898067779839039, -0.006878793239593506, -0.003264418337494135), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010985241271555424, -0.006867398042231798, -0.004076718352735043), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005374774802476168, -0.0063456762582063675, 0.0011614874238148332), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008916376158595085, -0.001921568880788982, 0.004645820707082748), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010905347764492035, -0.00646398589015007, -0.0006509090890176594), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00923918653279543, -0.007189764175564051, -0.0028993887826800346), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00990624912083149, -0.005610927939414978, -0.0014383923262357712), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01088557206094265, -0.005494191776961088, -0.003824956016615033), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0038607765454798937, -0.007320958189666271, 0.011151386424899101), (-0.008051246404647827, -0.0025960635393857956, 0.048909176141023636)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=36, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4334851503372192, 2.4571707248687744, 23.050392150878906), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.013831693679094315, 4.908392429351807, 23.048093795776367), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4030239582061768, 7.341913223266602, 23.06425666809082), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.227145195007324, 2.4561314582824707, 23.041730880737305), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.829287052154541, 4.896983623504639, 23.06822967529297), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.410240888595581, 7.325711727142334, 23.046207427978516), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.078278064727783, 2.4447062015533447, 23.172998428344727), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.642666816711426, 4.9077558517456055, 23.04508399963379), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.246744155883789, 7.323812484741211, 23.048259735107422), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-1.4691661596298218, 2.4400434494018555, 25.174312591552734), (-0.5391927361488342, 2.462200880050659, 25.484113693237305)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9950593113899231, energy_trajectory=[1.2956314086914062, 1.2855706214904785, 1.2783570289611816, 1.271315336227417, 1.2645375728607178, 1.2577805519104004, 1.250952959060669, 1.2444021701812744, 1.2379603385925293, 1.2316315174102783, 1.2254319190979004, 1.2195634841918945, 1.2141404151916504, 1.208824634552002, 1.2041244506835938, 1.1992409229278564, 1.194551706314087, 1.1900298595428467, 1.185664176940918, 1.1814401149749756, 1.1773488521575928, 1.173396348953247, 1.1695451736450195, 1.165804147720337, 1.16218900680542, 1.1586487293243408, 1.1553857326507568, 1.1520295143127441, 1.1487584114074707, 1.145568609237671, 1.1408741474151611, 1.1379022598266602, 1.135765790939331, 1.132934331893921, 1.1301066875457764, 1.1273438930511475, 1.1246416568756104, 1.1219971179962158, 1.1192357540130615, 1.1167700290679932, 1.1142921447753906, 1.1118650436401367, 1.1094892024993896, 1.107161521911621, 1.104882001876831, 1.102646827697754, 1.1004579067230225, 1.0982933044433594, 1.096189260482788, 1.0941276550292969, 1.092106819152832, 1.0901241302490234, 1.0881783962249756, 1.0862736701965332, 1.0844268798828125, 1.082634687423706, 1.08089280128479, 1.0791292190551758, 1.0774827003479004, 1.0758821964263916, 1.0743236541748047, 1.0728070735931396, 1.0713300704956055, 1.0698909759521484, 1.0684881210327148, 1.067119836807251, 1.0657846927642822, 1.0644817352294922, 1.0632100105285645, 1.0619688034057617, 1.0607566833496094, 1.0595719814300537, 1.058415174484253, 1.0572841167449951, 1.0561256408691406, 1.0550470352172852, 1.053992509841919, 1.0529613494873047, 1.0519530773162842, 1.0509676933288574, 1.050004243850708, 1.0490624904632568, 1.048084020614624, 1.0471837520599365, 1.0463032722473145, 1.0454425811767578, 1.044600486755371, 1.0437772274017334, 1.042982816696167, 1.0421831607818604, 1.0413975715637207, 1.0406267642974854, 1.0398707389831543, 1.0391290187835693, 1.0384011268615723, 1.0376863479614258, 1.0369844436645508, 1.0362951755523682, 1.0356178283691406, 1.0349512100219727, 1.034294843673706, 1.0336501598358154, 1.033015489578247, 1.03239107131958, 1.0317764282226562, 1.0311710834503174, 1.0305752754211426, 1.0299901962280273, 1.0294146537780762, 1.028848648071289, 1.028291940689087, 1.0277464389801025, 1.027209758758545, 1.0266830921173096, 1.0261657238006592, 1.0256574153900146, 1.0251586437225342, 1.0246682167053223, 1.0241875648498535, 1.0232720375061035, 1.0228066444396973, 1.0223491191864014, 1.0218989849090576, 1.021458387374878, 1.0210247039794922, 1.0205998420715332, 1.0201821327209473, 1.0197715759277344, 1.01936936378479, 1.0189743041992188, 1.0202395915985107, 1.01985502243042, 1.0194787979125977, 1.019110918045044, 1.0187747478485107, 1.0184226036071777, 1.0180799961090088, 1.0177452564239502, 1.0171358585357666, 1.0168178081512451, 1.0165066719055176, 1.0162019729614258, 1.015904188156128, 1.0156142711639404, 1.0153300762176514, 1.0150508880615234, 1.014779806137085, 1.0145132541656494, 1.0142526626586914, 1.0139961242675781, 1.013744831085205, 1.0134973526000977, 1.013254165649414, 1.013014793395996, 1.0127766132354736, 1.0125434398651123, 1.012310266494751, 1.0120797157287598, 1.011899471282959, 1.011671781539917, 1.011223316192627, 1.010995864868164, 1.0107691287994385, 1.0105438232421875, 1.0103161334991455, 1.0100901126861572, 1.0098645687103271, 1.0096385478973389, 1.0094120502471924, 1.0091848373413086, 1.0089585781097412, 1.0087330341339111, 1.0084691047668457, 1.008241891860962, 1.0080153942108154, 1.0077886581420898, 1.0075626373291016, 1.007335901260376, 1.007110834121704, 1.0068871974945068, 1.006662368774414, 1.0064408779144287, 1.0062177181243896, 1.005997657775879, 1.0057775974273682, 1.0051915645599365, 1.0049760341644287, 1.0047607421875, 1.0045478343963623, 1.0043354034423828, 1.004124402999878, 1.0039169788360596, 1.003709316253662, 1.0035045146942139, 1.0033016204833984, 1.003101110458374, 1.002901315689087, 1.00270414352417, 1.0025081634521484, 1.0024211406707764, 1.0022296905517578, 1.0020420551300049, 1.001854658126831, 1.0016701221466064, 1.0014879703521729, 1.001307725906372, 1.0011296272277832, 1.000953197479248, 1.0007798671722412, 1.0006086826324463, 1.0004396438598633, 1.0002737045288086, 1.000110387802124, 0.9999513030052185, 0.9997956156730652, 0.9996430277824402, 0.999494731426239, 0.9993512034416199, 0.9992119669914246, 0.9990769028663635, 0.9989462494850159, 0.9988216757774353, 0.9987025856971741, 0.9985867142677307, 0.9984777569770813, 0.9983728528022766, 0.9983988404273987, 0.998308002948761, 0.9982210993766785, 0.9981401562690735, 0.9980648159980774, 0.9979934096336365, 0.9979279637336731, 0.997865617275238, 0.9978093504905701, 0.9978092312812805, 0.9977630972862244, 0.9977214932441711, 0.9976831078529358, 0.9976510405540466, 0.9976218342781067, 0.9977859854698181, 0.9977620244026184, 0.9977429509162903, 0.9977895617485046, 0.9977774024009705, 0.9977659583091736, 0.9977592825889587, 0.9977529644966125, 0.9977491497993469, 0.9977445006370544, 0.9976732134819031, 0.9976999163627625, 0.9976982474327087, 0.99769526720047, 0.9976908564567566, 0.9975959658622742, 0.9975906014442444, 0.9975520968437195, 0.9975427985191345, 0.9975242018699646, 0.9975113272666931, 0.9974965453147888, 0.9974789023399353, 0.9974591135978699, 0.9974371790885925, 0.9974120259284973, 0.9973767399787903, 0.9973459839820862, 0.9973142743110657, 0.9972801804542542, 0.9972421526908875, 0.9969450831413269, 0.9969030022621155, 0.9968600869178772, 0.9968116879463196, 0.9967628121376038, 0.9967103600502014, 0.9966551661491394, 0.9965993762016296, 0.9965415596961975, 0.9964829087257385, 0.9964200854301453, 0.9963554739952087, 0.9962894320487976, 0.9962227940559387, 0.9961534142494202, 0.9960823655128479, 0.9960071444511414, 0.9959612488746643, 0.9958828091621399, 0.995804488658905, 0.9957216382026672, 0.9956392645835876, 0.9955509305000305, 0.9954286217689514, 0.9953380227088928, 0.9952463507652283, 0.9951533675193787, 0.9950593113899231], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0027813315391540527, -0.005340503063052893, -0.002563734073191881), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00156624976079911, -0.002789942314848304, -0.0010188078740611672), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00036718667251989245, -0.004577935207635164, -0.0007958958740346134), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006216132547706366, -0.0046919710002839565, -0.0008483109995722771), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00012531496759038419, -0.004891723860055208, -0.001982392044737935), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002269444288685918, -0.0080439867451787, -0.0013056150637567043), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013455170206725597, -0.005607323255389929, -0.009852753020823002), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004114142619073391, 0.0005074496730230749, -0.0007573312614113092), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0015199397457763553, -0.007507456466555595, -0.0014814765891060233), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010795924812555313, 0.0004785799828823656, -0.04698691889643669), (-0.009953838773071766, -0.00023539242101833224, 0.004408380016684532)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=37, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3983166217803955, 2.6098945140838623, 23.028364181518555), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.01192551851272583, 4.996415138244629, 23.067991256713867), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3859280347824097, 7.485772132873535, 23.10818099975586), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.225403308868408, 2.55625057220459, 23.084192276000977), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8076748847961426, 4.991176128387451, 23.06932258605957), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3968067169189453, 7.434713363647461, 23.060277938842773), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.038914203643799, 2.552906036376953, 23.079063415527344), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.632882118225098, 4.891515731811523, 22.99946403503418), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.175315856933594, 7.465512752532959, 23.109628677368164), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.3788180351257324, 0.013724765740334988, 24.744924545288086), (1.420814037322998, -0.9125238060951233, 25.081615447998047)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0712401866912842, energy_trajectory=[1.6511731147766113, 1.641514539718628, 1.632096767425537, 1.6234700679779053, 1.6155285835266113, 1.608147144317627, 1.6012768745422363, 1.594752550125122, 1.5885591506958008, 1.5825271606445312, 1.5768682956695557, 1.5712401866912842, 1.5659985542297363, 1.5609335899353027, 1.5560302734375, 1.5512712001800537, 1.546644687652588, 1.542231559753418, 1.5381081104278564, 1.533893346786499, 1.5297467708587646, 1.5257186889648438, 1.521677017211914, 1.517707347869873, 1.513807773590088, 1.5099711418151855, 1.506195068359375, 1.502474069595337, 1.4988048076629639, 1.4951841831207275, 1.4916086196899414, 1.488079309463501, 1.4845898151397705, 1.4811367988586426, 1.4777204990386963, 1.474339485168457, 1.470992088317871, 1.4676780700683594, 1.464439868927002, 1.4611845016479492, 1.458055019378662, 1.4546318054199219, 1.4514596462249756, 1.4483132362365723, 1.4451909065246582, 1.4420909881591797, 1.4390156269073486, 1.4359605312347412, 1.432927131652832, 1.429914951324463, 1.4269192218780518, 1.4239428043365479, 1.4209842681884766, 1.4180259704589844, 1.4150187969207764, 1.4120211601257324, 1.4091222286224365, 1.4062399864196777, 1.4033701419830322, 1.4005143642425537, 1.397667407989502, 1.3949675559997559, 1.3921396732330322, 1.3892788887023926, 1.386474370956421, 1.3836791515350342, 1.3808913230895996, 1.3781137466430664, 1.3753437995910645, 1.3722703456878662, 1.3695147037506104, 1.366767168045044, 1.3640263080596924, 1.3612935543060303, 1.3585662841796875, 1.3558456897735596, 1.353130578994751, 1.350421667098999, 1.3477180004119873, 1.3450193405151367, 1.3423261642456055, 1.3396377563476562, 1.3369534015655518, 1.3343465328216553, 1.3316726684570312, 1.3290033340454102, 1.3263378143310547, 1.323734998703003, 1.3210761547088623, 1.3184175491333008, 1.3157622814178467, 1.313110113143921, 1.3104612827301025, 1.307814121246338, 1.305168628692627, 1.3025262355804443, 1.2998847961425781, 1.2972450256347656, 1.2946076393127441, 1.2919697761535645, 1.2893338203430176, 1.286698818206787, 1.2840638160705566, 1.281428575515747, 1.2787940502166748, 1.2761597633361816, 1.2736356258392334, 1.270937442779541, 1.2683050632476807, 1.2656748294830322, 1.262883186340332, 1.2602555751800537, 1.257629632949829, 1.2549769878387451, 1.2523584365844727, 1.249742031097412, 1.2471296787261963, 1.2445216178894043, 1.2419164180755615, 1.2393803596496582, 1.2367849349975586, 1.2341935634613037, 1.2316093444824219, 1.2290303707122803, 1.2264587879180908, 1.2238659858703613, 1.221308708190918, 1.2187602519989014, 1.2162203788757324, 1.2136898040771484, 1.2110826969146729, 1.2085719108581543, 1.2060716152191162, 1.2035822868347168, 1.2011034488677979, 1.1986379623413086, 1.1961848735809326, 1.1937451362609863, 1.1913177967071533, 1.18890380859375, 1.1865041255950928, 1.1841187477111816, 1.1816620826721191, 1.179307460784912, 1.1769683361053467, 1.1746439933776855, 1.172337293624878, 1.1700465679168701, 1.1677734851837158, 1.1655187606811523, 1.1632821559906006, 1.1610651016235352, 1.1588664054870605, 1.1572139263153076, 1.155052661895752, 1.1529760360717773, 1.1507658958435059, 1.1486704349517822, 1.1465981006622314, 1.1445503234863281, 1.1425278186798096, 1.1405303478240967, 1.1385579109191895, 1.1366126537322998, 1.1346940994262695, 1.1328034400939941, 1.1313724517822266, 1.1295435428619385, 1.127744436264038, 1.1259732246398926, 1.1242330074310303, 1.1225223541259766, 1.1208417415618896, 1.1191918849945068, 1.1175734996795654, 1.1159842014312744, 1.1144263744354248, 1.1128995418548584, 1.1114044189453125, 1.1097722053527832, 1.1083402633666992, 1.1067063808441162, 1.1053354740142822, 1.1039955615997314, 1.1026849746704102, 1.1014058589935303, 1.1001577377319336, 1.098874568939209, 1.0976872444152832, 1.096588134765625, 1.0954644680023193, 1.0943701267242432, 1.0933072566986084, 1.0922746658325195, 1.0912728309631348, 1.0903010368347168, 1.0893595218658447, 1.0882723331451416, 1.0874593257904053, 1.08658766746521, 1.0858900547027588, 1.0850975513458252, 1.0843350887298584, 1.08359956741333, 1.0828914642333984, 1.0822117328643799, 1.0815579891204834, 1.0809311866760254, 1.080329179763794, 1.0797507762908936, 1.0791964530944824, 1.0786640644073486, 1.0781540870666504, 1.0776646137237549, 1.0772666931152344, 1.0768582820892334, 1.0764310359954834, 1.076021432876587, 1.0756309032440186, 1.0752575397491455, 1.0749022960662842, 1.0745649337768555, 1.074244737625122, 1.0739412307739258, 1.0736544132232666, 1.0733840465545654, 1.071798324584961, 1.071570873260498, 1.071359634399414, 1.0711979866027832, 1.0710163116455078, 1.0708487033843994, 1.0714964866638184, 1.0713675022125244, 1.071254014968872, 1.071566104888916, 1.0714783668518066, 1.0714023113250732, 1.0713355541229248, 1.0712792873382568, 1.0712320804595947, 1.0711936950683594, 1.0711636543273926, 1.071141242980957, 1.07112455368042, 1.071115255355835, 1.071110486984253, 1.0711114406585693, 1.0711171627044678, 1.0721936225891113, 1.0722239017486572, 1.0722591876983643, 1.0722987651824951, 1.0722358226776123, 1.0722811222076416, 1.0727119445800781, 1.0727622509002686, 1.072814702987671, 1.0728662014007568, 1.0729193687438965, 1.0729713439941406, 1.0730233192443848, 1.0730745792388916, 1.0731239318847656, 1.0731713771820068, 1.0732176303863525, 1.0732605457305908, 1.0733013153076172, 1.0733370780944824, 1.0732886791229248, 1.0733191967010498, 1.0733449459075928, 1.0733661651611328, 1.07338285446167, 1.0733940601348877, 1.0734007358551025, 1.073401927947998, 1.0733964443206787, 1.0733060836791992, 1.0732886791229248, 1.073582649230957, 1.0733349323272705, 1.0732982158660889, 1.073253870010376, 1.0732030868530273, 1.0731451511383057, 1.0730772018432617, 1.0726723670959473, 1.072589635848999, 1.0724999904632568, 1.072404146194458, 1.0723013877868652, 1.0721919536590576, 1.0720772743225098, 1.0719523429870605, 1.0718212127685547, 1.0716850757598877, 1.071542501449585, 1.071394681930542, 1.0712401866912842], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0034849881194531918, -0.01418065931648016, -0.007326021790504456), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007618695963174105, -0.03284426033496857, -0.002024947665631771), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01820659078657627, -0.03458355367183685, -0.012600095011293888), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00744189927354455, -0.022876877337694168, -0.008392924442887306), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0036000204272568226, -0.027130091562867165, -0.0006865776376798749), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012218874879181385, -0.026882311329245567, -0.0022092480212450027), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0003645266406238079, -0.0219022985547781, -0.0029693974647670984), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00014505426224786788, -0.02262718789279461, 0.0031417207792401314), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0012557592708617449, -0.00308342557400465, -0.030612340196967125), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.07469356060028076, 0.0684925764799118, -0.02429237589240074), (-0.06157616898417473, 0.05247434973716736, -0.06555984914302826)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=38, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4433461427688599, 2.46931791305542, 23.040998458862305), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.014272014610469341, 4.891293525695801, 23.06536102294922), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3721048831939697, 7.329747200012207, 23.038881301879883), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.2451605796813965, 2.4454123973846436, 23.072511672973633), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.829810619354248, 4.882141590118408, 23.0549259185791), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4121085405349731, 7.332289218902588, 23.053918838500977), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.044840335845947, 2.4709126949310303, 23.031335830688477), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.658193111419678, 4.877024173736572, 23.053768157958984), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.245187759399414, 7.330285549163818, 23.14436149597168), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (0.18354125320911407, 0.41071462631225586, 25.10199737548828), (-0.6305249333381653, 0.9031926393508911, 25.34377670288086)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0455176830291748, energy_trajectory=[1.5270743370056152, 1.5189931392669678, 1.5106496810913086, 1.502546787261963, 1.4946715831756592, 1.4871137142181396, 1.4796972274780273, 1.4724876880645752, 1.4654650688171387, 1.4586126804351807, 1.4519200325012207, 1.4453694820404053, 1.4389526844024658, 1.4326610565185547, 1.4264731407165527, 1.4204096794128418, 1.4144504070281982, 1.4084515571594238, 1.4026997089385986, 1.3970508575439453, 1.391500473022461, 1.3860466480255127, 1.3806860446929932, 1.3754167556762695, 1.3702404499053955, 1.3651511669158936, 1.3601491451263428, 1.355233907699585, 1.3504033088684082, 1.3458335399627686, 1.3411736488342285, 1.3365943431854248, 1.3320949077606201, 1.3276729583740234, 1.323329210281372, 1.3190617561340332, 1.3149454593658447, 1.3108294010162354, 1.3067896366119385, 1.3028204441070557, 1.2989232540130615, 1.2950959205627441, 1.2913360595703125, 1.287647008895874, 1.2840230464935303, 1.280466079711914, 1.2769734859466553, 1.2735438346862793, 1.2701778411865234, 1.2668731212615967, 1.2636299133300781, 1.260361671447754, 1.2572352886199951, 1.253829002380371, 1.2508203983306885, 1.2478699684143066, 1.245018482208252, 1.2421767711639404, 1.239389419555664, 1.2366552352905273, 1.2339725494384766, 1.2313427925109863, 1.2287650108337402, 1.2262365818023682, 1.2237589359283447, 1.2213294506072998, 1.2189462184906006, 1.216611623764038, 1.2143237590789795, 1.2120811939239502, 1.2098851203918457, 1.2077341079711914, 1.2056257724761963, 1.203561782836914, 1.2015390396118164, 1.1995580196380615, 1.197617769241333, 1.195716142654419, 1.1938531398773193, 1.1920278072357178, 1.1902410984039307, 1.1884901523590088, 1.1867737770080566, 1.185103178024292, 1.1834537982940674, 1.181840181350708, 1.18025803565979, 1.1787080764770508, 1.1771883964538574, 1.1756973266601562, 1.1742384433746338, 1.1728050708770752, 1.1713991165161133, 1.1700942516326904, 1.1687400341033936, 1.167412281036377, 1.1658525466918945, 1.1645736694335938, 1.1633155345916748, 1.1620807647705078, 1.1608672142028809, 1.1596758365631104, 1.1585052013397217, 1.1573538780212402, 1.156224012374878, 1.1551120281219482, 1.1540184020996094, 1.1529426574707031, 1.1518867015838623, 1.150848388671875, 1.1498265266418457, 1.1488234996795654, 1.147836446762085, 1.1468675136566162, 1.1459145545959473, 1.1449778079986572, 1.1440579891204834, 1.1431546211242676, 1.1422667503356934, 1.141392469406128, 1.140533447265625, 1.1396899223327637, 1.1388616561889648, 1.138045310974121, 1.1374473571777344, 1.1369578838348389, 1.1361784934997559, 1.1354105472564697, 1.1346533298492432, 1.1339051723480225, 1.1331679821014404, 1.1324377059936523, 1.1317169666290283, 1.1310038566589355, 1.1302971839904785, 1.1295981407165527, 1.1289610862731934, 1.12827467918396, 1.1275925636291504, 1.1269681453704834, 1.1262967586517334, 1.1256306171417236, 1.1251354217529297, 1.1244785785675049, 1.1238253116607666, 1.1232078075408936, 1.1225636005401611, 1.1219234466552734, 1.1212880611419678, 1.120656967163086, 1.1200289726257324, 1.1194067001342773, 1.1187880039215088, 1.1181714534759521, 1.1175603866577148, 1.1169500350952148, 1.116344928741455, 1.1157410144805908, 1.1151401996612549, 1.1145401000976562, 1.1139411926269531, 1.1133437156677246, 1.1127469539642334, 1.1121509075164795, 1.1115548610687256, 1.1109576225280762, 1.1103606224060059, 1.10978364944458, 1.1091842651367188, 1.1087563037872314, 1.1081531047821045, 1.1075491905212402, 1.1069421768188477, 1.1063323020935059, 1.1057209968566895, 1.105107069015503, 1.1044921875, 1.1038742065429688, 1.1032555103302002, 1.1026332378387451, 1.1020119190216064, 1.1013598442077637, 1.1007347106933594, 1.1001098155975342, 1.0994267463684082, 1.098801851272583, 1.0981781482696533, 1.0975556373596191, 1.0969493389129639, 1.0963358879089355, 1.0957248210906982, 1.0951149463653564, 1.0945076942443848, 1.0939035415649414, 1.0933024883270264, 1.0927069187164307, 1.0921149253845215, 1.0915272235870361, 1.0909450054168701, 1.0903682708740234, 1.089796781539917, 1.089231014251709, 1.0886726379394531, 1.0881192684173584, 1.0875718593597412, 1.0870320796966553, 1.0864989757537842, 1.0859715938568115, 1.0854504108428955, 1.0849354267120361, 1.0844261646270752, 1.08392333984375, 1.0834264755249023, 1.0829339027404785, 1.0824487209320068, 1.0820949077606201, 1.0813117027282715, 1.0808382034301758, 1.0803687572479248, 1.0799026489257812, 1.0794389247894287, 1.0789790153503418, 1.0785207748413086, 1.078064203262329, 1.0776078701019287, 1.0771539211273193, 1.0767815113067627, 1.0763256549835205, 1.075868844985962, 1.0752513408660889, 1.0747931003570557, 1.07676100730896, 1.0762698650360107, 1.0757801532745361, 1.0752911567687988, 1.074803352355957, 1.074315071105957, 1.0738270282745361, 1.0733399391174316, 1.072852611541748, 1.0723657608032227, 1.0718798637390137, 1.0713953971862793, 1.0706791877746582, 1.0701942443847656, 1.069711446762085, 1.0692315101623535, 1.0687544345855713, 1.0682809352874756, 1.0678114891052246, 1.0673463344573975, 1.066884994506836, 1.0664277076721191, 1.0660641193389893, 1.0656144618988037, 1.0646424293518066, 1.0642101764678955, 1.0637822151184082, 1.0633561611175537, 1.062934160232544, 1.0625131130218506, 1.0620956420898438, 1.0616791248321533, 1.0612659454345703, 1.0608532428741455, 1.0604424476623535, 1.0600323677062988, 1.059621810913086, 1.0592129230499268, 1.058802604675293, 1.0583930015563965, 1.0573201179504395, 1.0569000244140625, 1.0564730167388916, 1.0560436248779297, 1.0556118488311768, 1.0551772117614746, 1.0547399520874023, 1.0543010234832764, 1.0538578033447266, 1.0531105995178223, 1.0526649951934814, 1.052217960357666, 1.0517704486846924, 1.0513207912445068, 1.0508677959442139, 1.0504212379455566, 1.049973964691162, 1.0495247840881348, 1.0490748882293701, 1.0487241744995117, 1.0482761859893799, 1.0478289127349854, 1.048309087753296, 1.0478332042694092, 1.0473597049713135, 1.0468924045562744, 1.0464293956756592, 1.045971155166626, 1.0455176830291748], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00012479456199798733, 0.00879407674074173, -0.0020462987013161182), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002919144229963422, 0.00340171973221004, -0.003312567947432399), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002706667175516486, 0.003188151167705655, 0.002998487325385213), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0002995484974235296, 0.0035156388767063618, -0.00615926505997777), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002031691838055849, 0.00025647369329817593, -0.006454831920564175), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005858671851456165, 0.0019754606764763594, -0.004383216146379709), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0019078770419582725, 0.0018670011777430773, 0.00708700530230999), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00028571239090524614, 0.0001266718318220228, -0.006395401898771524), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0070351180620491505, 0.00690666027367115, 0.0005751068820245564), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02844942919909954, -0.11504410952329636, 0.006154707167297602), (0.0111288633197546, -0.048753879964351654, 0.03041987679898739)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=39, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4425327777862549, 2.4455413818359375, 23.044841766357422), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.024771884083747864, 4.896699905395508, 23.04712677001953), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3902453184127808, 7.3310160636901855, 23.065406799316406), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.230020046234131, 2.446519136428833, 23.044694900512695), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.839907169342041, 4.88662576675415, 23.06845474243164), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4200177192687988, 7.311787128448486, 23.042903900146484), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.064908027648926, 2.4405219554901123, 23.140756607055664), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.651911735534668, 4.9027628898620605, 23.04844093322754), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.2601494789123535, 7.312936782836914, 23.045307159423828), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-1.3984957933425903, 2.389103889465332, 25.14208984375), (-0.5906103849411011, 2.857297420501709, 25.441389083862305)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9958147406578064, energy_trajectory=[1.3554515838623047, 1.3471026420593262, 1.3406388759613037, 1.3343451023101807, 1.3281469345092773, 1.3219916820526123, 1.3158581256866455, 1.30973219871521, 1.3036131858825684, 1.2978520393371582, 1.291529893875122, 1.2854390144348145, 1.279285192489624, 1.2732329368591309, 1.2673149108886719, 1.2613112926483154, 1.2553355693817139, 1.2493908405303955, 1.2434799671173096, 1.2376844882965088, 1.2320876121520996, 1.226611852645874, 1.2213761806488037, 1.216301441192627, 1.2114338874816895, 1.206660270690918, 1.2020277976989746, 1.1975269317626953, 1.1931066513061523, 1.1888580322265625, 1.18464994430542, 1.1806421279907227, 1.1767451763153076, 1.1729562282562256, 1.1686148643493652, 1.165043592453003, 1.1615750789642334, 1.1595897674560547, 1.1563458442687988, 1.1532070636749268, 1.1500244140625, 1.1470792293548584, 1.1442277431488037, 1.141477346420288, 1.138826608657837, 1.136174201965332, 1.1332252025604248, 1.1308839321136475, 1.1286249160766602, 1.1264452934265137, 1.1240670680999756, 1.122032642364502, 1.1200661659240723, 1.118164300918579, 1.1163244247436523, 1.1143131256103516, 1.1125872135162354, 1.1109161376953125, 1.1092970371246338, 1.1076114177703857, 1.1060895919799805, 1.1043827533721924, 1.1029555797576904, 1.1015739440917969, 1.1002345085144043, 1.1002888679504395, 1.0990345478057861, 1.0978193283081055, 1.0966448783874512, 1.0955088138580322, 1.0944116115570068, 1.0933523178100586, 1.0923304557800293, 1.0913434028625488, 1.0908927917480469, 1.0899608135223389, 1.089076042175293, 1.0882253646850586, 1.0874056816101074, 1.0866174697875977, 1.0858583450317383, 1.0849637985229492, 1.0842609405517578, 1.0835847854614258, 1.082932710647583, 1.0823028087615967, 1.0816936492919922, 1.0811057090759277, 1.0805354118347168, 1.0799846649169922, 1.0794475078582764, 1.0789539813995361, 1.078446626663208, 1.0779504776000977, 1.0774662494659424, 1.0769927501678467, 1.076528787612915, 1.0760743618011475, 1.0756278038024902, 1.0751893520355225, 1.074756145477295, 1.0743305683135986, 1.073868989944458, 1.0734500885009766, 1.073136806488037, 1.0727269649505615, 1.0723211765289307, 1.0719187259674072, 1.071519136428833, 1.0711243152618408, 1.070732831954956, 1.0701112747192383, 1.0697250366210938, 1.0693402290344238, 1.0689594745635986, 1.0685787200927734, 1.0682008266448975, 1.0678250789642334, 1.0668561458587646, 1.066455364227295, 1.0660557746887207, 1.0656542778015137, 1.0652518272399902, 1.0648491382598877, 1.064443588256836, 1.0640373229980469, 1.063629150390625, 1.0632197856903076, 1.0628101825714111, 1.0623979568481445, 1.061983346939087, 1.0615646839141846, 1.0611448287963867, 1.0607237815856934, 1.0602986812591553, 1.0598714351654053, 1.059478998184204, 1.0589148998260498, 1.0584805011749268, 1.0580432415008545, 1.0576019287109375, 1.0571551322937012, 1.0567035675048828, 1.0562491416931152, 1.0557889938354492, 1.0553252696990967, 1.0548570156097412, 1.0543849468231201, 1.0539076328277588, 1.053426742553711, 1.052941083908081, 1.0524516105651855, 1.0519578456878662, 1.0514612197875977, 1.0509607791900635, 1.0504555702209473, 1.0499470233917236, 1.0494351387023926, 1.0489203929901123, 1.0482556819915771, 1.0477349758148193, 1.047212839126587, 1.0466887950897217, 1.0461628437042236, 1.0456345081329346, 1.045105218887329, 1.0445735454559326, 1.0440421104431152, 1.0436577796936035, 1.0431239604949951, 1.0425899028778076, 1.04205322265625, 1.0415174961090088, 1.0409798622131348, 1.0404412746429443, 1.039903163909912, 1.039365291595459, 1.0388267040252686, 1.0382881164550781, 1.037750482559204, 1.0372130870819092, 1.0366761684417725, 1.036139726638794, 1.0357229709625244, 1.0351874828338623, 1.034653663635254, 1.034121036529541, 1.0335886478424072, 1.0330593585968018, 1.0325310230255127, 1.0320026874542236, 1.0314791202545166, 1.0309581756591797, 1.030439853668213, 1.0299320220947266, 1.0294208526611328, 1.0289111137390137, 1.0284056663513184, 1.0279121398925781, 1.0274136066436768, 1.0269176959991455, 1.0262489318847656, 1.0257880687713623, 1.0253121852874756, 1.024829387664795, 1.0243513584136963, 1.023876428604126, 1.0234055519104004, 1.022939682006836, 1.0224766731262207, 1.0220179557800293, 1.0215644836425781, 1.0208208560943604, 1.020376205444336, 1.0199368000030518, 1.0195016860961914, 1.019188642501831, 1.0187599658966064, 1.018115520477295, 1.0177018642425537, 1.0172936916351318, 1.016890048980713, 1.0164761543273926, 1.016080379486084, 1.0156886577606201, 1.015303134918213, 1.0149214267730713, 1.0145440101623535, 1.0141725540161133, 1.013805627822876, 1.0134425163269043, 1.0130844116210938, 1.0127296447753906, 1.0128138065338135, 1.0124666690826416, 1.0121235847473145, 1.0117855072021484, 1.0114500522613525, 1.0111198425292969, 1.0107920169830322, 1.0104691982269287, 1.0101499557495117, 1.0098342895507812, 1.0095224380493164, 1.0092129707336426, 1.008906602859497, 1.0086016654968262, 1.0082988739013672, 1.007997989654541, 1.0077004432678223, 1.0074052810668945, 1.0071125030517578, 1.0063800811767578, 1.006089210510254, 1.0058019161224365, 1.005514144897461, 1.0052294731140137, 1.0049467086791992, 1.0046651363372803, 1.0043857097625732, 1.0041089057922363, 1.0038337707519531, 1.0035614967346191, 1.0032920837402344, 1.0030231475830078, 1.002756118774414, 1.0024917125701904, 1.0022287368774414, 1.0019681453704834, 1.001709222793579, 1.0014512538909912, 1.0011963844299316, 1.000943899154663, 1.0006952285766602, 1.0004489421844482, 1.0002055168151855, 0.9999651312828064, 0.9997265934944153, 0.9994924664497375, 0.9994376301765442, 0.9992108941078186, 0.9989884495735168, 0.9987707734107971, 0.9985554814338684, 0.9983450770378113, 0.9981393218040466, 0.9979377388954163, 0.9977421164512634, 0.9975500702857971, 0.9973184466362, 0.9971385598182678, 0.9969621300697327, 0.9967898726463318, 0.9966241717338562, 0.9964620471000671, 0.9963018298149109, 0.9961475729942322, 0.9959970116615295, 0.9959356188774109, 0.9958147406578064], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0004041199281346053, -0.003617294365540147, -0.000835130107589066), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0074398936703801155, 0.004819204565137625, -0.0016386869829148054), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011286234483122826, -0.00377746787853539, -0.0015610131667926908), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012422154657542706, -0.0038885180838406086, -0.0008776838658377528), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010856617242097855, -0.00281337252818048, -0.0017934107454493642), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012189400382339954, -0.00531174149364233, 0.0001361277827527374), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0035121338441967964, 0.007049380335956812, 0.03403725475072861), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01274636760354042, 0.0003698025248013437, -0.0010878888424485922), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009740698151290417, -0.006820577662438154, -0.0009280492668040097), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.026125779375433922, -0.005334243178367615, 0.0036636656150221825), (-0.008122047409415245, 0.0036155555862933397, -0.03404811769723892)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=40, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.5320366621017456, 2.39005970954895, 23.074495315551758), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.11297444254159927, 4.848306655883789, 23.057756423950195), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3064134120941162, 7.2722272872924805, 23.06736946105957), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.250405311584473, 2.434622049331665, 23.00118064880371), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.9294655323028564, 4.8280510902404785, 23.078937530517578), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.5379300117492676, 7.2365546226501465, 23.0897274017334), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.238898754119873, 2.419450283050537, 23.056760787963867), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.747228145599365, 4.833791255950928, 23.06542205810547), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.3931708335876465, 7.238662242889404, 23.027202606201172), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (6.462794303894043, 1.2712552547454834, 24.695188522338867), (5.66000509262085, 1.7614637613296509, 24.990015029907227)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0622732639312744, energy_trajectory=[1.2818453311920166, 1.2761800289154053, 1.268460988998413, 1.2610375881195068, 1.253875494003296, 1.2467033863067627, 1.2396247386932373, 1.2327287197113037, 1.2260441780090332, 1.2195649147033691, 1.2132940292358398, 1.2072300910949707, 1.2014274597167969, 1.1957876682281494, 1.190370798110962, 1.1853253841400146, 1.1821651458740234, 1.1778771877288818, 1.1739275455474854, 1.1702852249145508, 1.166926622390747, 1.163827657699585, 1.1610982418060303, 1.1584229469299316, 1.1559014320373535, 1.153670072555542, 1.151616096496582, 1.1495890617370605, 1.1478526592254639, 1.1462557315826416, 1.1448125839233398, 1.1434636116027832, 1.1422197818756104, 1.1410715579986572, 1.1400079727172852, 1.1390182971954346, 1.138094425201416, 1.1372263431549072, 1.1364071369171143, 1.1356291770935059, 1.1345257759094238, 1.1338119506835938, 1.1330299377441406, 1.1323671340942383, 1.1315443515777588, 1.1308414936065674, 1.1302495002746582, 1.1295454502105713, 1.1289997100830078, 1.1284785270690918, 1.1280848979949951, 1.127614974975586, 1.1271722316741943, 1.1267566680908203, 1.1263692378997803, 1.1260085105895996, 1.1256744861602783, 1.1252593994140625, 1.124976634979248, 1.1247174739837646, 1.1244828701019287, 1.1242709159851074, 1.1240801811218262, 1.1239094734191895, 1.1238644123077393, 1.1237332820892334, 1.123426914215088, 1.1233234405517578, 1.123234510421753, 1.1231577396392822, 1.1230926513671875, 1.1230380535125732, 1.1229920387268066, 1.1229546070098877, 1.1229233741760254, 1.122899055480957, 1.122877836227417, 1.1230251789093018, 1.122666358947754, 1.1226532459259033, 1.1226396560668945, 1.122624397277832, 1.1226084232330322, 1.122589111328125, 1.1226603984832764, 1.1226320266723633, 1.1218063831329346, 1.1217718124389648, 1.1217296123504639, 1.1216788291931152, 1.1216201782226562, 1.121551752090454, 1.121473789215088, 1.1213839054107666, 1.1212828159332275, 1.121169090270996, 1.121042251586914, 1.1206958293914795, 1.1207752227783203, 1.1206698417663574, 1.1204872131347656, 1.1202888488769531, 1.12007737159729, 1.1213653087615967, 1.1211285591125488, 1.120875358581543, 1.1206073760986328, 1.1204211711883545, 1.1201257705688477, 1.119814395904541, 1.11948823928833, 1.1191468238830566, 1.1187899112701416, 1.1184179782867432, 1.117845058441162, 1.1174445152282715, 1.1170296669006348, 1.1166009902954102, 1.115828514099121, 1.1153736114501953, 1.1149051189422607, 1.1144239902496338, 1.1139304637908936, 1.1132433414459229, 1.112727165222168, 1.1121821403503418, 1.1116459369659424, 1.111100435256958, 1.1105470657348633, 1.109987497329712, 1.1094205379486084, 1.1088471412658691, 1.1082234382629395, 1.1076374053955078, 1.1070482730865479, 1.1064553260803223, 1.105860948562622, 1.10526442527771, 1.1046664714813232, 1.1040678024291992, 1.1034700870513916, 1.1028740406036377, 1.102278709411621, 1.1016857624053955, 1.1011548042297363, 1.1005668640136719, 1.0999805927276611, 1.0994904041290283, 1.0987708568572998, 1.0981972217559814, 1.0977530479431152, 1.0971925258636475, 1.0966355800628662, 1.0969257354736328, 1.0963754653930664, 1.0958302021026611, 1.0951714515686035, 1.0949623584747314, 1.0944347381591797, 1.0939109325408936, 1.0933899879455566, 1.0928711891174316, 1.0923569202423096, 1.0918443202972412, 1.091334342956543, 1.0908265113830566, 1.0903208255767822, 1.0898158550262451, 1.0891249179840088, 1.0886616706848145, 1.0880355834960938, 1.087475299835205, 1.0869770050048828, 1.0864794254302979, 1.0861091613769531, 1.0856118202209473, 1.085113286972046, 1.0846154689788818, 1.0839018821716309, 1.0834033489227295, 1.0829055309295654, 1.0827000141143799, 1.0822031497955322, 1.0817067623138428, 1.0812113285064697, 1.080716609954834, 1.0802216529846191, 1.0795938968658447, 1.0791020393371582, 1.0786113739013672, 1.0781223773956299, 1.0776357650756836, 1.0771515369415283, 1.0767755508422852, 1.0762948989868164, 1.0758163928985596, 1.074889898300171, 1.0744178295135498, 1.073948621749878, 1.0734837055206299, 1.073021650314331, 1.0725629329681396, 1.0721087455749512, 1.071657419204712, 1.071211814880371, 1.0707697868347168, 1.0703322887420654, 1.0699000358581543, 1.0694730281829834, 1.0690507888793945, 1.0685315132141113, 1.0681207180023193, 1.0677158832550049, 1.067317008972168, 1.066455364227295, 1.066068172454834, 1.0656888484954834, 1.0653164386749268, 1.0649518966674805, 1.0645949840545654, 1.0642461776733398, 1.063904047012329, 1.0639798641204834, 1.063652753829956, 1.0631752014160156, 1.062864065170288, 1.0625624656677246, 1.0620203018188477, 1.0617384910583496, 1.0614678859710693, 1.0612077713012695, 1.0609581470489502, 1.0607202053070068, 1.060495138168335, 1.0597383975982666, 1.0595335960388184, 1.0593430995941162, 1.0591654777526855, 1.0590014457702637, 1.0590879917144775, 1.0589473247528076, 1.0584721565246582, 1.0583550930023193, 1.0582516193389893, 1.058161735534668, 1.0580832958221436, 1.0579595565795898, 1.0579063892364502, 1.057866096496582, 1.0578384399414062, 1.0578229427337646, 1.0578186511993408, 1.057826042175293, 1.057844877243042, 1.0578744411468506, 1.0579147338867188, 1.05796480178833, 1.058023452758789, 1.0580921173095703, 1.0580368041992188, 1.0581181049346924, 1.0582091808319092, 1.0583064556121826, 1.058410882949829, 1.058520793914795, 1.0586354732513428, 1.0589182376861572, 1.0590431690216064, 1.059081792831421, 1.0594420433044434, 1.0595746040344238, 1.0597081184387207, 1.0598418712615967, 1.059976577758789, 1.0601108074188232, 1.0602450370788574, 1.060716152191162, 1.0610332489013672, 1.0611577033996582, 1.061354637145996, 1.0617427825927734, 1.061858892440796, 1.06197190284729, 1.0620064735412598, 1.0621099472045898, 1.0622096061706543, 1.0613715648651123, 1.0615801811218262, 1.0616674423217773, 1.061748743057251, 1.0618250370025635, 1.0618970394134521, 1.061628818511963, 1.0616939067840576, 1.0616230964660645, 1.0616779327392578, 1.0615661144256592, 1.0616135597229004, 1.0616555213928223, 1.0622732639312744], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01720244437456131, 0.019890960305929184, 0.018480492755770683), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02870619297027588, 0.0006857033004052937, 0.007950948551297188), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009495203383266926, 0.020370429381728172, 0.010190571658313274), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.022330041974782944, 0.02770417369902134, -0.00022377248387783766), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013266783207654953, 0.007095463573932648, 0.01256565935909748), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012420494109392166, -0.021465418860316277, 0.02882210910320282), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01981823705136776, -0.0006698438664898276, 0.06663370877504349), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012694410048425198, 0.009785476140677929, 0.012905721552670002), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007309385575354099, 0.010259156115353107, -0.010632031597197056), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03364702686667442, -0.04905915632843971, 0.03785640746355057), (-0.019403548911213875, -0.02745550125837326, 0.08522797375917435)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=41, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.2580219507217407, 2.433729887008667, 23.09230613708496), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.0766349658370018, 4.874421119689941, 23.057598114013672), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.502437710762024, 7.274317264556885, 23.116296768188477), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.23734188079834, 2.4587957859039307, 22.99896812438965), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.7493982315063477, 4.863125324249268, 23.059839248657227), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3368972539901733, 7.305131912231445, 23.0653018951416), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.964678764343262, 2.421882152557373, 23.083330154418945), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.5670857429504395, 4.859992504119873, 23.086183547973633), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.105414390563965, 7.269341945648193, 23.03045082092285), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (2.1216516494750977, 1.3585487604141235, 24.745222091674805), (1.3730393648147583, 0.9148180484771729, 25.20218849182129)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0840952396392822, energy_trajectory=[1.9385876655578613, 1.9263458251953125, 1.9161124229431152, 1.9056587219238281, 1.8957195281982422, 1.8861255645751953, 1.8768255710601807, 1.8677752017974854, 1.8587520122528076, 1.8500878810882568, 1.8415725231170654, 1.832862377166748, 1.8245854377746582, 1.8163971900939941, 1.8082940578460693, 1.800269603729248, 1.7923152446746826, 1.7844295501708984, 1.7766108512878418, 1.7688369750976562, 1.761146068572998, 1.7535133361816406, 1.7459383010864258, 1.7387404441833496, 1.7310798168182373, 1.7236638069152832, 1.7162988185882568, 1.7089838981628418, 1.7018258571624756, 1.694732427597046, 1.687553882598877, 1.6804203987121582, 1.6737120151519775, 1.666666030883789, 1.6596643924713135, 1.6527059078216553, 1.6457924842834473, 1.6389219760894775, 1.6320936679840088, 1.625307559967041, 1.6185615062713623, 1.6118547916412354, 1.6051433086395264, 1.598508596420288, 1.5919520854949951, 1.5853824615478516, 1.578845739364624, 1.572340726852417, 1.5658676624298096, 1.5594241619110107, 1.553086757659912, 1.5467045307159424, 1.5403668880462646, 1.534045696258545, 1.527742862701416, 1.521484375, 1.5151546001434326, 1.5089662075042725, 1.5028138160705566, 1.4966983795166016, 1.4914493560791016, 1.4854142665863037, 1.479419231414795, 1.473464012145996, 1.4675500392913818, 1.461677074432373, 1.4558463096618652, 1.4500584602355957, 1.444312334060669, 1.4386110305786133, 1.4328484535217285, 1.4272429943084717, 1.4216797351837158, 1.4160799980163574, 1.410595178604126, 1.405165195465088, 1.3999152183532715, 1.394576072692871, 1.3892791271209717, 1.3840258121490479, 1.3788158893585205, 1.3736486434936523, 1.3685247898101807, 1.363445520401001, 1.3584113121032715, 1.3534493446350098, 1.348564863204956, 1.3437566757202148, 1.33882737159729, 1.3339431285858154, 1.3295128345489502, 1.3249971866607666, 1.320554256439209, 1.3160123825073242, 1.3111894130706787, 1.3069610595703125, 1.3026306629180908, 1.2985427379608154, 1.294524908065796, 1.2905759811401367, 1.2866950035095215, 1.2828826904296875, 1.2791390419006348, 1.2755672931671143, 1.271956205368042, 1.2684106826782227, 1.2649312019348145, 1.2615156173706055, 1.2581653594970703, 1.254875659942627, 1.2514979839324951, 1.2483315467834473, 1.245225429534912, 1.242177963256836, 1.239189624786377, 1.2362589836120605, 1.2333853244781494, 1.2305676937103271, 1.2278048992156982, 1.225095272064209, 1.2224385738372803, 1.219834327697754, 1.2172801494598389, 1.2150769233703613, 1.2126219272613525, 1.2102162837982178, 1.2078585624694824, 1.20554780960083, 1.2030813694000244, 1.200885534286499, 1.1987361907958984, 1.1966304779052734, 1.1947352886199951, 1.1927158832550049, 1.1907382011413574, 1.1886115074157715, 1.1867170333862305, 1.1848621368408203, 1.1830451488494873, 1.1812663078308105, 1.1795239448547363, 1.177957534790039, 1.1762890815734863, 1.174654483795166, 1.1730539798736572, 1.1714868545532227, 1.169952630996704, 1.168450117111206, 1.1669790744781494, 1.1655385494232178, 1.164128303527832, 1.1627473831176758, 1.16139554977417, 1.1599252223968506, 1.1586041450500488, 1.1573364734649658, 1.1560940742492676, 1.1548779010772705, 1.153686761856079, 1.1525201797485352, 1.151376724243164, 1.1502585411071777, 1.149163007736206, 1.1480908393859863, 1.1470398902893066, 1.1458652019500732, 1.1447350978851318, 1.142669677734375, 1.1417124271392822, 1.1407763957977295, 1.1398606300354004, 1.1389648914337158, 1.137620449066162, 1.1367640495300293, 1.1359260082244873, 1.1351075172424316, 1.134308099746704, 1.1332530975341797, 1.132575273513794, 1.1318316459655762, 1.1311047077178955, 1.1303956508636475, 1.1297297477722168, 1.129054069519043, 1.1283950805664062, 1.1277520656585693, 1.1271252632141113, 1.1265134811401367, 1.1259164810180664, 1.1253345012664795, 1.1247668266296387, 1.124093770980835, 1.123556137084961, 1.1230311393737793, 1.122521162033081, 1.1220803260803223, 1.1215956211090088, 1.1211233139038086, 1.120741844177246, 1.1202936172485352, 1.1198575496673584, 1.1194324493408203, 1.1190185546875, 1.1186161041259766, 1.1182243824005127, 1.117842435836792, 1.1174697875976562, 1.1171064376831055, 1.1167526245117188, 1.1164062023162842, 1.1160693168640137, 1.1160187721252441, 1.1156971454620361, 1.1153826713562012, 1.1150755882263184, 1.114774227142334, 1.114480972290039, 1.1141912937164307, 1.113908052444458, 1.1137454509735107, 1.1134722232818604, 1.1132020950317383, 1.1129357814788818, 1.1126735210418701, 1.1124136447906494, 1.1121563911437988, 1.1119015216827393, 1.1116483211517334, 1.111396074295044, 1.1111443042755127, 1.1108934879302979, 1.1106431484222412, 1.1103932857513428, 1.110142469406128, 1.1098930835723877, 1.1096422672271729, 1.1093616485595703, 1.1091077327728271, 1.1089375019073486, 1.1086812019348145, 1.1084232330322266, 1.1084058284759521, 1.1081435680389404, 1.107879400253296, 1.107612133026123, 1.10734224319458, 1.1070702075958252, 1.1067931652069092, 1.1065120697021484, 1.106226921081543, 1.1059367656707764, 1.1056411266326904, 1.105339765548706, 1.1051177978515625, 1.1048057079315186, 1.1044864654541016, 1.104032039642334, 1.103698968887329, 1.1033575534820557, 1.1030097007751465, 1.1033508777618408, 1.1029870510101318, 1.102614164352417, 1.1022322177886963, 1.1018431186676025, 1.1014442443847656, 1.1010363101959229, 1.100506067276001, 1.1000823974609375, 1.0996496677398682, 1.0992095470428467, 1.0987606048583984, 1.0984575748443604, 1.0979926586151123, 1.0975208282470703, 1.0970427989959717, 1.0965592861175537, 1.096071481704712, 1.0955874919891357, 1.0948150157928467, 1.094336986541748, 1.0938642024993896, 1.0920510292053223, 1.09159517288208, 1.0910794734954834, 1.0906283855438232, 1.090179204940796, 1.089733600616455, 1.0892908573150635, 1.0886166095733643, 1.0881750583648682, 1.0877351760864258, 1.087296724319458, 1.0866889953613281, 1.0862524509429932, 1.0858173370361328, 1.0853838920593262, 1.0849533081054688, 1.0845232009887695, 1.0840952396392822], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008822254836559296, 0.016263606026768684, -0.017054816707968712), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003918143920600414, -0.002566075185313821, -0.0002017816441366449), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010487771593034267, -0.02553418278694153, -0.019442424178123474), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007455069571733475, 0.0033715469762682915, 0.0007903302903287113), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004588204901665449, 0.0034511114936321974, 0.00043698784429579973), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00977531261742115, -0.00038423039950430393, -0.001248207176104188), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0022774848621338606, -0.00035754157579503953, 0.00014682069013360888), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0010144227417185903, -0.005197969265282154, -0.005112295038998127), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00834906566888094, -0.004853260703384876, -0.006060290150344372), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.028602203354239464, -0.04897994175553322, -0.012084517627954483), (-0.012134065851569176, -0.010943647474050522, -0.016433026641607285)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=42, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4040042161941528, 2.450986385345459, 23.003402709960938), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.055802974849939346, 5.02675199508667, 23.091583251953125), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4260108470916748, 7.4364848136901855, 23.077030181884766), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.222347259521484, 2.5459277629852295, 23.06865692138672), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.84722638130188, 5.0368146896362305, 23.101097106933594), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.402703881263733, 7.4910664558410645, 23.024877548217773), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.044803142547607, 2.5426762104034424, 23.06890296936035), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.628776550292969, 4.981826305389404, 23.060443878173828), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.2294416427612305, 7.43646764755249, 23.081199645996094), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.3769073486328125, 4.9358930587768555, 24.7249755859375), (1.3730131387710571, 4.009002208709717, 25.058578491210938)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0561800003051758, energy_trajectory=[1.5734808444976807, 1.5655336380004883, 1.5571212768554688, 1.5490212440490723, 1.5413994789123535, 1.534353256225586, 1.5275230407714844, 1.5210139751434326, 1.5147631168365479, 1.5087716579437256, 1.5026025772094727, 1.4970026016235352, 1.4915661811828613, 1.4863190650939941, 1.481154203414917, 1.4761099815368652, 1.471177577972412, 1.4663476943969727, 1.4617843627929688, 1.4571423530578613, 1.4525823593139648, 1.448099136352539, 1.4436886310577393, 1.4392900466918945, 1.4350128173828125, 1.4307973384857178, 1.4266364574432373, 1.422546625137329, 1.4184916019439697, 1.4145395755767822, 1.4105770587921143, 1.4066569805145264, 1.4027786254882812, 1.3989408016204834, 1.3951399326324463, 1.3913757801055908, 1.3877005577087402, 1.384000539779663, 1.3803963661193848, 1.3767569065093994, 1.3731207847595215, 1.3694696426391602, 1.3659145832061768, 1.3623816967010498, 1.3588690757751465, 1.3554370403289795, 1.3519628047943115, 1.348503589630127, 1.3452961444854736, 1.3418383598327637, 1.3384201526641846, 1.3350157737731934, 1.3316245079040527, 1.3282477855682373, 1.3248827457427979, 1.3215317726135254, 1.3181939125061035, 1.3148703575134277, 1.3115785121917725, 1.3082854747772217, 1.3050081729888916, 1.301748514175415, 1.29850435256958, 1.2952792644500732, 1.2920739650726318, 1.2888870239257812, 1.2858891487121582, 1.2827377319335938, 1.2795283794403076, 1.2764196395874023, 1.2733347415924072, 1.270272970199585, 1.2672350406646729, 1.26422119140625, 1.26112699508667, 1.2581639289855957, 1.255225658416748, 1.2523143291473389, 1.2494287490844727, 1.2465713024139404, 1.2437410354614258, 1.2409389019012451, 1.238163948059082, 1.2354180812835693, 1.232306718826294, 1.2296159267425537, 1.2269558906555176, 1.22432541847229, 1.221726894378662, 1.219358205795288, 1.2165734767913818, 1.214071273803711, 1.211700201034546, 1.2092642784118652, 1.2068614959716797, 1.2044944763183594, 1.202160358428955, 1.1998629570007324, 1.1975998878479004, 1.1954944133758545, 1.1933016777038574, 1.1911439895629883, 1.1890220642089844, 1.1869349479675293, 1.184882402420044, 1.1828649044036865, 1.1808834075927734, 1.1789369583129883, 1.1770238876342773, 1.1751458644866943, 1.1733033657073975, 1.1714928150177002, 1.1697161197662354, 1.167973279953003, 1.166262149810791, 1.164576768875122, 1.1628859043121338, 1.1612706184387207, 1.159686803817749, 1.1581361293792725, 1.1566145420074463, 1.1550836563110352, 1.153623104095459, 1.152191400527954, 1.1507887840270996, 1.1492292881011963, 1.1478278636932373, 1.1465137004852295, 1.1452240943908691, 1.1439614295959473, 1.1427230834960938, 1.141510009765625, 1.1403179168701172, 1.1391510963439941, 1.13787841796875, 1.136753797531128, 1.1356494426727295, 1.13470458984375, 1.1336393356323242, 1.132591724395752, 1.1315619945526123, 1.13094162940979, 1.1299443244934082, 1.1289610862731934, 1.1281518936157227, 1.126863956451416, 1.1259071826934814, 1.1249797344207764, 1.1240673065185547, 1.1231658458709717, 1.1222755908966064, 1.1213963031768799, 1.1205284595489502, 1.11967134475708, 1.1188247203826904, 1.117987871170044, 1.117161750793457, 1.1163442134857178, 1.1156389713287354, 1.1148433685302734, 1.114058256149292, 1.1132829189300537, 1.1125168800354004, 1.1117608547210693, 1.1110150814056396, 1.1102769374847412, 1.1095492839813232, 1.108830213546753, 1.1081194877624512, 1.1074180603027344, 1.1067249774932861, 1.1060404777526855, 1.1053645610809326, 1.1048979759216309, 1.1040294170379639, 1.1032512187957764, 1.102609634399414, 1.1019766330718994, 1.1013517379760742, 1.100733757019043, 1.1001231670379639, 1.0995204448699951, 1.0989253520965576, 1.0983383655548096, 1.097825288772583, 1.0972509384155273, 1.0966837406158447, 1.0961227416992188, 1.095569133758545, 1.0950219631195068, 1.0944809913635254, 1.0941500663757324, 1.0938255786895752, 1.093303918838501, 1.092787504196167, 1.0920405387878418, 1.0915353298187256, 1.091036081314087, 1.090541124343872, 1.0900511741638184, 1.089679479598999, 1.089200496673584, 1.0887248516082764, 1.0882539749145508, 1.087787389755249, 1.0876553058624268, 1.0871989727020264, 1.0867464542388916, 1.0862979888916016, 1.0858533382415771, 1.085411787033081, 1.0849742889404297, 1.0845410823822021, 1.084111213684082, 1.083686113357544, 1.0832626819610596, 1.082843542098999, 1.0824289321899414, 1.0820176601409912, 1.0816099643707275, 1.0812056064605713, 1.0808041095733643, 1.0804078578948975, 1.080315351486206, 1.0799274444580078, 1.0795414447784424, 1.0788185596466064, 1.0784385204315186, 1.078061580657959, 1.0776875019073486, 1.0773143768310547, 1.0769450664520264, 1.0765767097473145, 1.076223373413086, 1.0758593082427979, 1.0754971504211426, 1.0751359462738037, 1.0747759342193604, 1.0744364261627197, 1.0731909275054932, 1.0728411674499512, 1.0724947452545166, 1.0721471309661865, 1.0718004703521729, 1.0713274478912354, 1.0709824562072754, 1.0706379413604736, 1.0702931880950928, 1.0699474811553955, 1.0703697204589844, 1.0700349807739258, 1.0697004795074463, 1.069366216659546, 1.0690340995788574, 1.0687010288238525, 1.0683693885803223, 1.0680367946624756, 1.0677051544189453, 1.0673730373382568, 1.067042589187622, 1.0667107105255127, 1.0663797855377197, 1.0660481452941895, 1.0657157897949219, 1.065384864807129, 1.0650525093078613, 1.064720630645752, 1.064387321472168, 1.0651986598968506, 1.0648736953735352, 1.0645508766174316, 1.0642263889312744, 1.063901662826538, 1.0635762214660645, 1.0632507801055908, 1.062925100326538, 1.0625996589660645, 1.06227445602417, 1.0619513988494873, 1.061629056930542, 1.0613093376159668, 1.060990333557129, 1.0606746673583984, 1.0603606700897217, 1.0600507259368896, 1.0597472190856934, 1.0594005584716797, 1.0591075420379639, 1.0588221549987793, 1.058546543121338, 1.0582799911499023, 1.058023452758789, 1.0577785968780518, 1.0575473308563232, 1.0573296546936035, 1.0571258068084717, 1.056636095046997, 1.0564656257629395, 1.0563127994537354, 1.0561800003051758], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0011917712399736047, -0.01594514586031437, -0.0026736524887382984), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003364337608218193, -0.0013253451324999332, -0.0023858954664319754), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0004191641346551478, -0.004313822370022535, -8.722385973669589e-05), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00450210552662611, -0.011592624709010124, -0.0009650368010625243), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013338708318769932, -0.012421699240803719, -0.003363144351169467), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.000896015961188823, 0.003473440185189247, -0.002676646690815687), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0017712180269882083, -0.009284468367695808, 2.6646879632608034e-05), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005134020932018757, -0.006002769339829683, -0.00022636739595327526), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0043289815075695515, -0.002355240983888507, -0.0010657461825758219), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005130529869347811, 0.01877196691930294, 0.0032671154476702213), (0.011016798205673695, -0.004697122611105442, 0.002433609450235963)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=43, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4009411334991455, 2.5253548622131348, 23.019681930541992), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.012612505815923214, 4.90569543838501, 23.065685272216797), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.395932912826538, 7.379973888397217, 23.108840942382812), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.221609115600586, 2.4648852348327637, 23.079116821289062), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.809694528579712, 4.905361175537109, 23.06490135192871), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3852993249893188, 7.344501972198486, 23.06039047241211), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.028092384338379, 2.4732210636138916, 23.07666015625), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.630791664123535, 4.814610004425049, 23.002426147460938), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.159493446350098, 7.405372619628906, 23.080442428588867), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-2.923478603363037, 7.270565032958984, 24.724929809570312), (-2.9783332347869873, 6.340644836425781, 25.047822952270508)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.090752363204956, energy_trajectory=[1.7958881855010986, 1.7825384140014648, 1.771646499633789, 1.762451410293579, 1.7531118392944336, 1.744225025177002, 1.7354576587677002, 1.7267427444458008, 1.718442440032959, 1.709763526916504, 1.7010154724121094, 1.692413568496704, 1.6841766834259033, 1.6762609481811523, 1.6686327457427979, 1.6612563133239746, 1.6546199321746826, 1.6476705074310303, 1.6409144401550293, 1.6339759826660156, 1.627561330795288, 1.621297836303711, 1.6154329776763916, 1.6095237731933594, 1.6036591529846191, 1.5979113578796387, 1.5922720432281494, 1.5869319438934326, 1.5814924240112305, 1.5761451721191406, 1.571033000946045, 1.5658574104309082, 1.5609190464019775, 1.5558984279632568, 1.5509345531463623, 1.5460457801818848, 1.5412304401397705, 1.536482334136963, 1.5317983627319336, 1.5271778106689453, 1.522618293762207, 1.5181169509887695, 1.5129663944244385, 1.5085558891296387, 1.504197359085083, 1.4998893737792969, 1.4956603050231934, 1.491450548171997, 1.4872848987579346, 1.4831609725952148, 1.479079246520996, 1.4750359058380127, 1.4710326194763184, 1.4670677185058594, 1.4630818367004395, 1.4591951370239258, 1.4553451538085938, 1.451533317565918, 1.447758674621582, 1.4440228939056396, 1.4403252601623535, 1.4366672039031982, 1.433048963546753, 1.4294698238372803, 1.4262804985046387, 1.4227776527404785, 1.4193146228790283, 1.415891170501709, 1.412508249282837, 1.4091620445251465, 1.405855655670166, 1.4025871753692627, 1.3993558883666992, 1.3961617946624756, 1.39300537109375, 1.3898847103118896, 1.3869576454162598, 1.3839137554168701, 1.3806803226470947, 1.3777127265930176, 1.3747782707214355, 1.3718757629394531, 1.3690056800842285, 1.3661787509918213, 1.3633668422698975, 1.3605835437774658, 1.3578295707702637, 1.3551039695739746, 1.3524067401885986, 1.3497352600097656, 1.3470914363861084, 1.3444733619689941, 1.3418593406677246, 1.3392913341522217, 1.336601734161377, 1.3340847492218018, 1.3315908908843994, 1.3291213512420654, 1.3266735076904297, 1.3242485523223877, 1.3218464851379395, 1.3194668292999268, 1.3173809051513672, 1.3150427341461182, 1.3127245903015137, 1.3104274272918701, 1.308152675628662, 1.3058981895446777, 1.3032236099243164, 1.3010122776031494, 1.2988226413726807, 1.296654224395752, 1.2945077419281006, 1.2923834323883057, 1.2902805805206299, 1.2881999015808105, 1.2861406803131104, 1.2841033935546875, 1.2820868492126465, 1.2800915241241455, 1.2781176567077637, 1.2761638164520264, 1.2742316722869873, 1.2723197937011719, 1.2703595161437988, 1.268486738204956, 1.2666337490081787, 1.2650747299194336, 1.2632596492767334, 1.2614619731903076, 1.2596824169158936, 1.2578577995300293, 1.2561125755310059, 1.254385232925415, 1.2526743412017822, 1.2509782314300537, 1.2492997646331787, 1.2476348876953125, 1.245983600616455, 1.2443466186523438, 1.242724895477295, 1.241114616394043, 1.2395169734954834, 1.2379326820373535, 1.2363593578338623, 1.2345695495605469, 1.2330169677734375, 1.2313709259033203, 1.2298412322998047, 1.2283225059509277, 1.2268140316009521, 1.2253153324127197, 1.2238264083862305, 1.222435474395752, 1.2209680080413818, 1.2195098400115967, 1.2180607318878174, 1.2166204452514648, 1.21512770652771, 1.2137069702148438, 1.2122948169708252, 1.2108912467956543, 1.2094976902008057, 1.2081122398376465, 1.2063329219818115, 1.2049658298492432, 1.203606367111206, 1.2022557258605957, 1.200913429260254, 1.199580192565918, 1.1982557773590088, 1.1969385147094727, 1.1956300735473633, 1.1943306922912598, 1.1930396556854248, 1.1917564868927002, 1.1904821395874023, 1.1892156600952148, 1.1879584789276123, 1.1867082118988037, 1.1850175857543945, 1.1837921142578125, 1.1825730800628662, 1.181361436843872, 1.1801588535308838, 1.178964376449585, 1.1777780055999756, 1.1767206192016602, 1.1754634380340576, 1.1743042469024658, 1.1730387210845947, 1.1718158721923828, 1.1700866222381592, 1.1686921119689941, 1.1675763130187988, 1.1664700508117676, 1.1653721332550049, 1.1642823219299316, 1.1632020473480225, 1.1621298789978027, 1.161067008972168, 1.16001296043396, 1.1589691638946533, 1.1579346656799316, 1.156770944595337, 1.1557564735412598, 1.1547520160675049, 1.1537566184997559, 1.1526756286621094, 1.1517000198364258, 1.1507327556610107, 1.1497743129730225, 1.1488258838653564, 1.1478862762451172, 1.146824598312378, 1.1459026336669922, 1.1447043418884277, 1.1437442302703857, 1.1429648399353027, 1.1420729160308838, 1.1415801048278809, 1.1407032012939453, 1.1398346424102783, 1.1390089988708496, 1.1381568908691406, 1.1373121738433838, 1.1364753246307373, 1.13559889793396, 1.1347789764404297, 1.1342780590057373, 1.1334736347198486, 1.1326773166656494, 1.1318893432617188, 1.131119728088379, 1.1303479671478271, 1.1295838356018066, 1.1287789344787598, 1.1280310153961182, 1.1272904872894287, 1.126558542251587, 1.1259300708770752, 1.1252148151397705, 1.1245076656341553, 1.123807430267334, 1.1231155395507812, 1.1224305629730225, 1.1217527389526367, 1.1210823059082031, 1.1205573081970215, 1.1199004650115967, 1.119248628616333, 1.1186044216156006, 1.1179659366607666, 1.117332935333252, 1.1167516708374023, 1.11613130569458, 1.1155169010162354, 1.1147198677062988, 1.1141140460968018, 1.113513469696045, 1.1129157543182373, 1.1123228073120117, 1.1117329597473145, 1.110933542251587, 1.1103498935699463, 1.1097688674926758, 1.109189748764038, 1.1086137294769287, 1.1080398559570312, 1.1070797443389893, 1.1065082550048828, 1.105860710144043, 1.1052908897399902, 1.1047239303588867, 1.104156255722046, 1.1035926342010498, 1.103029489517212, 1.1024680137634277, 1.1019079685211182, 1.101348638534546, 1.1007914543151855, 1.1002352237701416, 1.0996794700622559, 1.0991246700286865, 1.0985713005065918, 1.0980195999145508, 1.097468614578247, 1.0969183444976807, 1.0963706970214844, 1.0958235263824463, 1.0952794551849365, 1.0948925018310547, 1.0943527221679688, 1.0938141345977783, 1.093278169631958, 1.0927455425262451, 1.0922143459320068, 1.0918009281158447, 1.0912754535675049, 1.090752363204956], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-4.736967184726382e-06, 0.023138193413615227, -0.0009509584051556885), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0002786618424579501, 0.017755812034010887, 3.510520400595851e-05), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012641909532248974, 0.026570063084363937, -0.00965170469135046), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001956096151843667, 0.02096707746386528, -0.001084418734535575), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0027623253408819437, 0.018055450171232224, -0.001038229325786233), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002644734689965844, 0.018703404814004898, -0.0026715691201388836), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002282660687342286, 0.02149597741663456, -0.0007818255689926445), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0006016047555021942, 0.0062017301097512245, -0.007951498031616211), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004233854357153177, 0.013827325776219368, 0.005730097182095051), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0049627963453531265, 0.056095775216817856, 0.009983752854168415), (0.07112353295087814, 0.02790350466966629, 0.009679130278527737)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=44, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.441389799118042, 2.464341402053833, 23.045166015625), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.020479248836636543, 4.918093204498291, 23.051193237304688), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3965730667114258, 7.349137306213379, 23.06892204284668), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.224191188812256, 2.4648561477661133, 23.04711151123047), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8339831829071045, 4.9065704345703125, 23.073556900024414), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4127651453018188, 7.328145503997803, 23.041860580444336), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.0581560134887695, 2.4705429077148438, 23.145809173583984), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.64576530456543, 4.921819686889648, 23.052942276000977), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.254558086395264, 7.32848596572876, 23.043933868408203), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-1.4213550090789795, 2.3248119354248047, 25.14069938659668), (-0.8927891254425049, 3.0818192958831787, 25.46969985961914)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9951195120811462, energy_trajectory=[1.3673906326293945, 1.3572964668273926, 1.3502452373504639, 1.3433940410614014, 1.3365395069122314, 1.3296928405761719, 1.3228652477264404, 1.3158156871795654, 1.308950662612915, 1.3020851612091064, 1.2952210903167725, 1.2883641719818115, 1.2815160751342773, 1.274683952331543, 1.2678673267364502, 1.2611420154571533, 1.2543766498565674, 1.2476391792297363, 1.2412035465240479, 1.2350842952728271, 1.229154109954834, 1.2231061458587646, 1.217226266860962, 1.2114977836608887, 1.205916166305542, 1.2004773616790771, 1.1951770782470703, 1.1900088787078857, 1.1849908828735352, 1.180079698562622, 1.1752898693084717, 1.1706197261810303, 1.1660642623901367, 1.1616218090057373, 1.1572880744934082, 1.153062105178833, 1.1489415168762207, 1.144968032836914, 1.1410508155822754, 1.1372320652008057, 1.1335110664367676, 1.1298871040344238, 1.1263599395751953, 1.1227505207061768, 1.119455099105835, 1.116328477859497, 1.1131725311279297, 1.1102573871612549, 1.107292890548706, 1.1044206619262695, 1.101639747619629, 1.0989315509796143, 1.096329689025879, 1.0937929153442383, 1.091217279434204, 1.0888705253601074, 1.0866119861602783, 1.0843572616577148, 1.0822749137878418, 1.0802788734436035, 1.078366756439209, 1.0765411853790283, 1.0748004913330078, 1.0731406211853027, 1.0715622901916504, 1.0700652599334717, 1.0687713623046875, 1.0674293041229248, 1.0660231113433838, 1.0648338794708252, 1.0637190341949463, 1.0626778602600098, 1.0617082118988037, 1.0608093738555908, 1.0599842071533203, 1.0592286586761475, 1.0586204528808594, 1.0580079555511475, 1.0574610233306885, 1.0569813251495361, 1.0565645694732666, 1.0562069416046143, 1.0559008121490479, 1.0556440353393555, 1.055429458618164, 1.0552515983581543, 1.055109977722168, 1.0547120571136475, 1.0546269416809082, 1.054570198059082, 1.054490327835083, 1.0544846057891846, 1.0545024871826172, 1.0545432567596436, 1.054602861404419, 1.0546815395355225, 1.0547749996185303, 1.0548834800720215, 1.0549993515014648, 1.0551249980926514, 1.055255651473999, 1.0552852153778076, 1.0554211139678955, 1.055555820465088, 1.0556902885437012, 1.0558204650878906, 1.0559492111206055, 1.0547759532928467, 1.0549159049987793, 1.0550110340118408, 1.055098295211792, 1.055180549621582, 1.0552561283111572, 1.0553247928619385, 1.0553867816925049, 1.0554440021514893, 1.0554924011230469, 1.0555334091186523, 1.0555708408355713, 1.055598258972168, 1.0555922985076904, 1.0556042194366455, 1.0556056499481201, 1.0555951595306396, 1.055574893951416, 1.055544376373291, 1.0554523468017578, 1.0553951263427734, 1.0553278923034668, 1.0552465915679932, 1.0551536083221436, 1.0550463199615479, 1.0550141334533691, 1.0547599792480469, 1.0546112060546875, 1.0544488430023193, 1.0542738437652588, 1.0541458129882812, 1.0539426803588867, 1.0537242889404297, 1.0534915924072266, 1.0532457828521729, 1.0527114868164062, 1.052443265914917, 1.0521273612976074, 1.0518345832824707, 1.0515294075012207, 1.051213026046753, 1.0508854389190674, 1.0505471229553223, 1.0501973628997803, 1.0498380661010742, 1.0494694709777832, 1.0490906238555908, 1.048703670501709, 1.0483076572418213, 1.047903299331665, 1.0474932193756104, 1.047074317932129, 1.0466489791870117, 1.046217679977417, 1.0457823276519775, 1.0451745986938477, 1.044722318649292, 1.044266700744629, 1.043806791305542, 1.0433423519134521, 1.042872667312622, 1.0423970222473145, 1.041919469833374, 1.0414397716522217, 1.0409369468688965, 1.040454626083374, 1.039968729019165, 1.0394787788391113, 1.038987398147583, 1.038494348526001, 1.0379984378814697, 1.037501335144043, 1.037001609802246, 1.0365004539489746, 1.0359981060028076, 1.0354938507080078, 1.0349888801574707, 1.0344834327697754, 1.0339772701263428, 1.0334694385528564, 1.0329632759094238, 1.0324556827545166, 1.0319478511810303, 1.0314395427703857, 1.0308825969696045, 1.0303754806518555, 1.0298669338226318, 1.029360294342041, 1.0288522243499756, 1.0283455848693848, 1.0278401374816895, 1.027334213256836, 1.026953935623169, 1.0264477729797363, 1.025942087173462, 1.0254366397857666, 1.0249297618865967, 1.0248727798461914, 1.0243644714355469, 1.0238564014434814, 1.0233476161956787, 1.0228383541107178, 1.0222420692443848, 1.021735668182373, 1.0212290287017822, 1.0207233428955078, 1.0202186107635498, 1.0198166370391846, 1.0193116664886475, 1.0188074111938477, 1.0183045864105225, 1.0178024768829346, 1.017303466796875, 1.0165903568267822, 1.0160911083221436, 1.0155959129333496, 1.0151047706604004, 1.0146160125732422, 1.0141303539276123, 1.0136492252349854, 1.0131709575653076, 1.0126972198486328, 1.0122284889221191, 1.011765956878662, 1.011308193206787, 1.010857343673706, 1.010411262512207, 1.0099709033966064, 1.0095369815826416, 1.009110927581787, 1.0086901187896729, 1.0082759857177734, 1.0078694820404053, 1.0074706077575684, 1.0070784091949463, 1.00669264793396, 1.006314754486084, 1.0059447288513184, 1.0055842399597168, 1.0052294731140137, 1.0048840045928955, 1.0045723915100098, 1.0042438507080078, 1.003922462463379, 1.003610372543335, 1.0035343170166016, 1.0032415390014648, 1.002955675125122, 1.002715826034546, 1.0024473667144775, 1.002187728881836, 1.0019330978393555, 1.00168776512146, 1.0014491081237793, 1.0012173652648926, 1.000993013381958, 1.0007753372192383, 1.0005640983581543, 1.0003597736358643, 1.0001614093780518, 0.9999691843986511, 0.999782145023346, 0.9996029734611511, 0.9994279742240906, 0.9992569088935852, 0.9990920424461365, 0.9989295601844788, 0.9987735152244568, 0.9986200928688049, 0.9984726309776306, 0.997846782207489, 0.9977079033851624, 0.9975727200508118, 0.997104823589325, 0.9969764351844788, 0.9968515038490295, 0.9967288374900818, 0.9966095089912415, 0.9964914917945862, 0.9963746666908264, 0.9962607026100159, 0.9961474537849426, 0.9960373044013977, 0.9959294199943542, 0.9958251118659973, 0.9957451224327087, 0.9956446290016174, 0.9955442547798157, 0.9954481720924377, 0.9953523278236389, 0.9952588677406311, 0.9951663613319397, 0.9951195120811462], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01027118880301714, -0.0053436290472745895, -0.0006751822656951845), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00838360097259283, -0.008814834989607334, -0.001196497236378491), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007483808323740959, -0.005862250458449125, -0.003703666152432561), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004653218202292919, -0.006009696517139673, -0.002444653306156397), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006779407616704702, -0.005566267762333155, -0.004906513728201389), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00552490446716547, -0.0037734834477305412, -0.0025913710705935955), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009301622398197651, -0.006533677224069834, -0.012146156281232834), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005695084575563669, -0.007332871202379465, -0.002307173563167453), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008218254894018173, -0.0018738405779004097, -0.0017813880695030093), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011903549544513226, 0.024914907291531563, -0.001233810093253851), (-0.006041450425982475, 0.009470337070524693, 0.02134883590042591)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=45, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4347537755966187, 2.41916823387146, 23.061294555664062), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.020878387615084648, 4.871162414550781, 23.053876876831055), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3792576789855957, 7.312745571136475, 23.084779739379883), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.2655792236328125, 2.4156789779663086, 23.075143814086914), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8726582527160645, 4.824563980102539, 23.109525680541992), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3847341537475586, 7.358132839202881, 23.007177352905273), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.086455345153809, 2.4269137382507324, 23.066205978393555), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.718249797821045, 4.853311538696289, 23.037057876586914), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.297480583190918, 7.329797744750977, 23.06950569152832), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (3.126836061477661, 5.790899753570557, 24.90408706665039), (3.8749237060546875, 5.355775833129883, 25.367847442626953)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.1286039352416992, energy_trajectory=[2.026366949081421, 2.015411615371704, 2.006772756576538, 1.9982244968414307, 1.989530086517334, 1.9808316230773926, 1.972618818283081, 1.9649639129638672, 1.957773208618164, 1.9512419700622559, 1.9447615146636963, 1.938185691833496, 1.9319000244140625, 1.9260978698730469, 1.9204368591308594, 1.914827585220337, 1.9093773365020752, 1.904127836227417, 1.8989157676696777, 1.8937585353851318, 1.8886950016021729, 1.8837060928344727, 1.8791155815124512, 1.8742339611053467, 1.8693914413452148, 1.8646926879882812, 1.8599061965942383, 1.8551392555236816, 1.8508632183074951, 1.8461177349090576, 1.841378927230835, 1.8366446495056152, 1.8319079875946045, 1.8271715641021729, 1.822432041168213, 1.8176863193511963, 1.8129358291625977, 1.8081777095794678, 1.803412675857544, 1.7986392974853516, 1.7938594818115234, 1.789069414138794, 1.7842719554901123, 1.7793920040130615, 1.7745649814605713, 1.7697296142578125, 1.765000343322754, 1.7601516246795654, 1.755298137664795, 1.7504417896270752, 1.7455816268920898, 1.7407195568084717, 1.7358567714691162, 1.7309942245483398, 1.726130723953247, 1.7212700843811035, 1.7164103984832764, 1.7115540504455566, 1.7067017555236816, 1.701854944229126, 1.6970131397247314, 1.6921789646148682, 1.687352180480957, 1.6825342178344727, 1.677727222442627, 1.672929048538208, 1.6681451797485352, 1.6633737087249756, 1.658616304397583, 1.6538734436035156, 1.649146556854248, 1.6444368362426758, 1.6397426128387451, 1.6350669860839844, 1.63041090965271, 1.6257736682891846, 1.621155023574829, 1.6165575981140137, 1.6118907928466797, 1.6073341369628906, 1.6027987003326416, 1.5982840061187744, 1.5937914848327637, 1.5893199443817139, 1.584871530532837, 1.580444097518921, 1.5762240886688232, 1.5718421936035156, 1.5674822330474854, 1.5631434917449951, 1.5583257675170898, 1.5540244579315186, 1.5497455596923828, 1.5454869270324707, 1.5412509441375732, 1.5370357036590576, 1.5331919193267822, 1.5290238857269287, 1.5248141288757324, 1.5207979679107666, 1.51670241355896, 1.5126292705535889, 1.5085792541503906, 1.5045523643493652, 1.5005478858947754, 1.4965667724609375, 1.4926068782806396, 1.48866868019104, 1.4847526550292969, 1.4808566570281982, 1.476980447769165, 1.4731245040893555, 1.469287633895874, 1.4654700756072998, 1.4613404273986816, 1.4575755596160889, 1.4538276195526123, 1.4500980377197266, 1.446387767791748, 1.4426970481872559, 1.439023733139038, 1.4354772567749023, 1.4318439960479736, 1.4282300472259521, 1.4246368408203125, 1.42106294631958, 1.4175095558166504, 1.413888931274414, 1.4103832244873047, 1.4068963527679443, 1.4034299850463867, 1.3999838829040527, 1.396559238433838, 1.3927440643310547, 1.3893611431121826, 1.3859422206878662, 1.382601261138916, 1.379281759262085, 1.3759820461273193, 1.3727045059204102, 1.3694477081298828, 1.3662731647491455, 1.3630576133728027, 1.359863519668579, 1.3565750122070312, 1.3534252643585205, 1.3502955436706543, 1.3471877574920654, 1.3441009521484375, 1.3410353660583496, 1.3379902839660645, 1.3349666595458984, 1.3319635391235352, 1.328981637954712, 1.3260202407836914, 1.3230798244476318, 1.3202338218688965, 1.317333459854126, 1.314453125, 1.3115932941436768, 1.3087539672851562, 1.3059344291687012, 1.3031353950500488, 1.3003568649291992, 1.2975995540618896, 1.2948620319366455, 1.2921457290649414, 1.289449691772461, 1.286773920059204, 1.2841196060180664, 1.2814862728118896, 1.2789900302886963, 1.2763984203338623, 1.273679256439209, 1.271178960800171, 1.2686550617218018, 1.266153335571289, 1.263674020767212, 1.2612183094024658, 1.2587847709655762, 1.2563741207122803, 1.2539877891540527, 1.2516241073608398, 1.2492852210998535, 1.246821641921997, 1.2445306777954102, 1.2423338890075684, 1.2400858402252197, 1.2378625869750977, 1.235663652420044, 1.2334895133972168, 1.2313411235809326, 1.2292182445526123, 1.2271199226379395, 1.2250475883483887, 1.22300124168396, 1.220980167388916, 1.2189843654632568, 1.2170157432556152, 1.2150731086730957, 1.2131569385528564, 1.2112665176391602, 1.2094142436981201, 1.2075772285461426, 1.205765724182129, 1.2039802074432373, 1.2022221088409424, 1.2004895210266113, 1.1987838745117188, 1.1971042156219482, 1.195451021194458, 1.193824052810669, 1.1922235488891602, 1.1906490325927734, 1.1891005039215088, 1.1875784397125244, 1.1860828399658203, 1.18461275100708, 1.1831703186035156, 1.1817529201507568, 1.1803629398345947, 1.17899751663208, 1.1776599884033203, 1.1763479709625244, 1.1750617027282715, 1.1738789081573486, 1.172647476196289, 1.1713507175445557, 1.170170783996582, 1.169015884399414, 1.1678855419158936, 1.1667819023132324, 1.165764570236206, 1.1642296314239502, 1.1632006168365479, 1.1619842052459717, 1.16098952293396, 1.1600372791290283, 1.1591079235076904, 1.1579694747924805, 1.1570866107940674, 1.156226396560669, 1.1553881168365479, 1.1545724868774414, 1.1537768840789795, 1.1530041694641113, 1.1522514820098877, 1.1513850688934326, 1.1506719589233398, 1.1499779224395752, 1.1491141319274902, 1.1484565734863281, 1.1478166580200195, 1.1471943855285645, 1.1465895175933838, 1.1460015773773193, 1.1454286575317383, 1.144871473312378, 1.1443288326263428, 1.1437997817993164, 1.1432850360870361, 1.1427826881408691, 1.142293930053711, 1.1418168544769287, 1.1413509845733643, 1.1408958435058594, 1.1404509544372559, 1.1400160789489746, 1.1395902633666992, 1.1391944885253906, 1.1387860774993896, 1.1383838653564453, 1.137988805770874, 1.1375997066497803, 1.1372177600860596, 1.1369891166687012, 1.1366174221038818, 1.1362497806549072, 1.1358859539031982, 1.135526180267334, 1.1351697444915771, 1.1348159313201904, 1.1344642639160156, 1.134110927581787, 1.1337618827819824, 1.1334149837493896, 1.1330690383911133, 1.1327250003814697, 1.1323809623718262, 1.13203763961792, 1.1316945552825928, 1.1313517093658447, 1.1310093402862549, 1.1306664943695068, 1.1303231716156006, 1.1299805641174316, 1.1296374797821045, 1.129293441772461, 1.12894868850708, 1.1286039352416992], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00023511411563958973, -0.00018339947564527392, -0.005521022714674473), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0017845348920673132, -0.0023027374409139156, -0.0035904624965041876), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006088175345212221, -0.0034812900703400373, -0.01009515393525362), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003456363221630454, -0.0016142672393471003, -0.006994626484811306), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0014992638025432825, 0.012594794854521751, 0.009238824248313904), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014306584373116493, -0.013278726488351822, 0.007793207187205553), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0025784624740481377, -0.0010581231908872724, -0.005401751026511192), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014462284743785858, 0.0059235580265522, 0.0028607998974621296), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01602657325565815, -0.0004986969288438559, -0.01277365256100893), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.023290377110242844, -0.07931846380233765, 0.03283388167619705), (0.015812784433364868, -0.006708620581775904, -0.05655232071876526)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=46, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.329268217086792, 2.3784427642822266, 23.087369918823242), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.1438242346048355, 4.7976155281066895, 23.024906158447266), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.493232250213623, 7.277980327606201, 23.08942985534668), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.161661624908447, 2.386594772338867, 23.060029983520508), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.7247350215911865, 4.764707088470459, 23.09811782836914), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.2836076021194458, 7.284120082855225, 23.11018943786621), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.974654197692871, 2.38840389251709, 23.07046127319336), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.566863059997559, 4.836310386657715, 23.067489624023438), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.233307361602783, 7.323888301849365, 23.0010986328125), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (2.204308032989502, 6.03895378112793, 24.748666763305664), (1.4238272905349731, 5.613255977630615, 25.170412063598633)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0835363864898682, energy_trajectory=[1.8321917057037354, 1.8223481178283691, 1.8130285739898682, 1.8038244247436523, 1.7949953079223633, 1.787343978881836, 1.7792792320251465, 1.7714099884033203, 1.7638161182403564, 1.7562761306762695, 1.7488725185394287, 1.74165940284729, 1.734668254852295, 1.7275772094726562, 1.7205705642700195, 1.7136454582214355, 1.706789493560791, 1.7001500129699707, 1.6935584545135498, 1.6870079040527344, 1.6803886890411377, 1.6738207340240479, 1.6673023700714111, 1.6608152389526367, 1.6543185710906982, 1.6479289531707764, 1.6415793895721436, 1.6352667808532715, 1.6289892196655273, 1.6227471828460693, 1.6165409088134766, 1.6104240417480469, 1.604283332824707, 1.5981721878051758, 1.5920920372009277, 1.5860443115234375, 1.5800259113311768, 1.5740387439727783, 1.5680830478668213, 1.5621569156646729, 1.5559959411621094, 1.5503230094909668, 1.5444941520690918, 1.5386977195739746, 1.532933235168457, 1.5271999835968018, 1.5214955806732178, 1.5158252716064453, 1.5101852416992188, 1.5047543048858643, 1.4991779327392578, 1.493485689163208, 1.4879753589630127, 1.4825000762939453, 1.477062702178955, 1.4716622829437256, 1.466301441192627, 1.4609794616699219, 1.4556982517242432, 1.4504594802856445, 1.4452626705169678, 1.440110445022583, 1.4349431991577148, 1.4298820495605469, 1.4248263835906982, 1.4198644161224365, 1.4149882793426514, 1.4101252555847168, 1.4053144454956055, 1.4005553722381592, 1.3956241607666016, 1.3909695148468018, 1.3863685131072998, 1.381821632385254, 1.377328634262085, 1.3728892803192139, 1.368504285812378, 1.3641738891601562, 1.3598980903625488, 1.35567307472229, 1.3515028953552246, 1.347386121749878, 1.343320608139038, 1.3393080234527588, 1.3353474140167236, 1.33143949508667, 1.3275847434997559, 1.3237814903259277, 1.3200304508209229, 1.3163297176361084, 1.3126823902130127, 1.3090946674346924, 1.3055522441864014, 1.302063226699829, 1.2986271381378174, 1.295243501663208, 1.2919113636016846, 1.2886316776275635, 1.2854037284851074, 1.2822504043579102, 1.2791283130645752, 1.2760562896728516, 1.2730350494384766, 1.2700626850128174, 1.2671403884887695, 1.2642662525177002, 1.261439323425293, 1.2586572170257568, 1.2559235095977783, 1.2531473636627197, 1.2500417232513428, 1.2474353313446045, 1.2448699474334717, 1.2423410415649414, 1.239851713180542, 1.2373981475830078, 1.234950304031372, 1.2325680255889893, 1.2302188873291016, 1.2279033660888672, 1.2256219387054443, 1.2233715057373047, 1.2211527824401855, 1.218966007232666, 1.2168097496032715, 1.214684009552002, 1.2125897407531738, 1.2105250358581543, 1.2083361148834229, 1.206331729888916, 1.2043564319610596, 1.2024118900299072, 1.2004947662353516, 1.1984846591949463, 1.1966278553009033, 1.1947994232177734, 1.1929993629455566, 1.1912286281585693, 1.1894853115081787, 1.187868356704712, 1.1861810684204102, 1.1845316886901855, 1.182922601699829, 1.1811392307281494, 1.1796092987060547, 1.1781153678894043, 1.1766555309295654, 1.1752307415008545, 1.1738390922546387, 1.1724774837493896, 1.1711442470550537, 1.1698417663574219, 1.168567180633545, 1.1673181056976318, 1.16609525680542, 1.1648967266082764, 1.163696050643921, 1.1625430583953857, 1.1614110469818115, 1.1604082584381104, 1.1593172550201416, 1.1582460403442383, 1.1571917533874512, 1.1561572551727295, 1.1551387310028076, 1.1541354656219482, 1.1531493663787842, 1.1521761417388916, 1.1512174606323242, 1.1502718925476074, 1.1493401527404785, 1.1484196186065674, 1.1475119590759277, 1.1466624736785889, 1.1457788944244385, 1.1448140144348145, 1.1439504623413086, 1.1430964469909668, 1.142251968383789, 1.141416072845459, 1.140589952468872, 1.1397721767425537, 1.138962984085083, 1.1381628513336182, 1.1373717784881592, 1.1364850997924805, 1.1357083320617676, 1.1349411010742188, 1.1341805458068848, 1.1334295272827148, 1.1327824592590332, 1.132045030593872, 1.1313164234161377, 1.1305961608886719, 1.1298828125, 1.1291778087615967, 1.1284794807434082, 1.1277904510498047, 1.1260929107666016, 1.1254346370697021, 1.124784231185913, 1.1241424083709717, 1.1234338283538818, 1.1228070259094238, 1.1221849918365479, 1.1215686798095703, 1.1210391521453857, 1.1204376220703125, 1.1198410987854004, 1.1193337440490723, 1.1187474727630615, 1.118166208267212, 1.1175909042358398, 1.11726975440979, 1.1167054176330566, 1.1161463260650635, 1.1155898571014404, 1.1150381565093994, 1.114490032196045, 1.1139461994171143, 1.1134073734283447, 1.1128730773925781, 1.1123411655426025, 1.1118144989013672, 1.1112926006317139, 1.1101024150848389, 1.1096062660217285, 1.109114408493042, 1.1086268424987793, 1.1079270839691162, 1.107447624206543, 1.1069719791412354, 1.1065011024475098, 1.1060352325439453, 1.1055736541748047, 1.1053824424743652, 1.1049320697784424, 1.1044855117797852, 1.104046106338501, 1.1036088466644287, 1.1031787395477295, 1.1025910377502441, 1.1021699905395508, 1.101752758026123, 1.1013405323028564, 1.100890874862671, 1.1004867553710938, 1.100088119506836, 1.0996932983398438, 1.0992660522460938, 1.098879337310791, 1.098496675491333, 1.0981168746948242, 1.097740888595581, 1.0973694324493408, 1.0970022678375244, 1.0966370105743408, 1.0962772369384766, 1.0957977771759033, 1.0954456329345703, 1.0950970649719238, 1.0947518348693848, 1.0944085121154785, 1.094069480895996, 1.093733549118042, 1.0934011936187744, 1.0926322937011719, 1.0923073291778564, 1.0919837951660156, 1.0916621685028076, 1.091176986694336, 1.0908615589141846, 1.090550422668457, 1.0902419090270996, 1.0899367332458496, 1.0896353721618652, 1.0893378257751465, 1.0890440940856934, 1.0887532234191895, 1.0884666442871094, 1.0881822109222412, 1.087902545928955, 1.0876257419586182, 1.0873534679412842, 1.0870845317840576, 1.0868196487426758, 1.0865583419799805, 1.086301326751709, 1.086047649383545, 1.085798740386963, 1.0855534076690674, 1.0853126049041748, 1.0850772857666016, 1.0848455429077148, 1.0846171379089355, 1.0843877792358398, 1.0841686725616455, 1.0839548110961914, 1.0837440490722656, 1.0835363864898682], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005651234649121761, 0.005090588703751564, -0.005936257541179657), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02535914070904255, 0.01259992178529501, 0.008765609003603458), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007062469143420458, -0.00010425819345982745, -0.007357246708124876), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0023192099761217833, 0.003032670123502612, -0.004110715817660093), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006521356292068958, 0.010232675820589066, -0.01132827065885067), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010831729508936405, 0.0007282958249561489, -0.011020374484360218), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0060415007174015045, 0.004504479002207518, -0.006762166973203421), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0055528199300169945, 8.72957898536697e-05, -0.0055474103428423405), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00023055689234752208, -0.001977351261302829, -0.000893294985871762), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.061039891093969345, 0.04105215519666672, -0.043045077472925186), (0.029819970950484276, -0.0024786207359284163, 0.0012341650435701013)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=47, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3702226877212524, 2.513510227203369, 23.04026985168457), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.020578037947416306, 4.921041011810303, 23.0515079498291), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.442589521408081, 7.405227184295654, 23.15110206604004), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.227373123168945, 2.5033583641052246, 23.046260833740234), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8002283573150635, 4.928597927093506, 23.068071365356445), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4002758264541626, 7.368398666381836, 23.049978256225586), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.031039714813232, 2.4849448204040527, 23.072063446044922), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.617133617401123, 4.911615371704102, 23.047588348388672), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.1854567527771, 7.367751121520996, 23.044986724853516), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (2.6333234310150146, 0.20188230276107788, 25.141626358032227), (2.759373426437378, 1.1545672416687012, 25.344907760620117)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0181963443756104, energy_trajectory=[1.4966440200805664, 1.489487648010254, 1.4821240901947021, 1.4751155376434326, 1.4682388305664062, 1.4613888263702393, 1.4545626640319824, 1.4476189613342285, 1.4408345222473145, 1.4340734481811523, 1.4273343086242676, 1.4205758571624756, 1.4138903617858887, 1.4074022769927979, 1.4007813930511475, 1.3942255973815918, 1.3878471851348877, 1.3816306591033936, 1.3755674362182617, 1.3696503639221191, 1.3638739585876465, 1.3580868244171143, 1.352470874786377, 1.3471465110778809, 1.3418841361999512, 1.3367397785186768, 1.3315496444702148, 1.326627492904663, 1.3218119144439697, 1.317187786102295, 1.312636137008667, 1.308129072189331, 1.3037207126617432, 1.2994074821472168, 1.2952167987823486, 1.2910888195037842, 1.2870514392852783, 1.2831039428710938, 1.2792437076568604, 1.2754709720611572, 1.2717840671539307, 1.2681822776794434, 1.264667272567749, 1.261237621307373, 1.2578907012939453, 1.2546265125274658, 1.2515861988067627, 1.2484803199768066, 1.245452642440796, 1.242375373840332, 1.2395002841949463, 1.2366998195648193, 1.2339727878570557, 1.2313156127929688, 1.2287261486053467, 1.2262043952941895, 1.2237491607666016, 1.221360206604004, 1.2190003395080566, 1.2167398929595947, 1.2145423889160156, 1.2124066352844238, 1.2103321552276611, 1.2083182334899902, 1.2063636779785156, 1.2044677734375, 1.2026314735412598, 1.2008533477783203, 1.1991333961486816, 1.1974692344665527, 1.195862054824829, 1.1943080425262451, 1.1926615238189697, 1.1912124156951904, 1.1898131370544434, 1.1884191036224365, 1.187117576599121, 1.1858611106872559, 1.184647798538208, 1.1834759712219238, 1.1823434829711914, 1.1812481880187988, 1.1801879405975342, 1.179161548614502, 1.1781659126281738, 1.1772003173828125, 1.1765995025634766, 1.1756610870361328, 1.174746036529541, 1.1738550662994385, 1.1729841232299805, 1.172135353088379, 1.1713039875030518, 1.1704912185668945, 1.169694423675537, 1.1689133644104004, 1.168147325515747, 1.167396068572998, 1.1666553020477295, 1.1659278869628906, 1.1652109622955322, 1.164503574371338, 1.1638052463531494, 1.1631150245666504, 1.1624324321746826, 1.1617553234100342, 1.161085605621338, 1.1604199409484863, 1.1597626209259033, 1.1591079235076904, 1.1584322452545166, 1.1579868793487549, 1.157341480255127, 1.1566977500915527, 1.1560554504394531, 1.1554532051086426, 1.1548938751220703, 1.1542482376098633, 1.1536023616790771, 1.1529531478881836, 1.1520888805389404, 1.1514325141906738, 1.150771141052246, 1.1501057147979736, 1.1494348049163818, 1.1487598419189453, 1.148078441619873, 1.147191047668457, 1.1465070247650146, 1.145806074142456, 1.145000696182251, 1.144286870956421, 1.143566608428955, 1.1428415775299072, 1.1421091556549072, 1.141371250152588, 1.1405720710754395, 1.1398186683654785, 1.1390602588653564, 1.1385242938995361, 1.137758493423462, 1.1383843421936035, 1.1376190185546875, 1.1368465423583984, 1.1360645294189453, 1.1354329586029053, 1.1346359252929688, 1.133833885192871, 1.133023738861084, 1.1322052478790283, 1.1312580108642578, 1.1304247379302979, 1.1296322345733643, 1.1287329196929932, 1.1278820037841797, 1.1270232200622559, 1.1261582374572754, 1.12528657913208, 1.1244091987609863, 1.1235239505767822, 1.1226353645324707, 1.1217403411865234, 1.1208398342132568, 1.1199357509613037, 1.1188898086547852, 1.1179728507995605, 1.117053747177124, 1.1161320209503174, 1.115208387374878, 1.114283561706543, 1.1144092082977295, 1.1130540370941162, 1.1121459007263184, 1.111234426498413, 1.110323190689087, 1.1094112396240234, 1.1084980964660645, 1.1075854301452637, 1.106327772140503, 1.105417251586914, 1.1045076847076416, 1.1035974025726318, 1.1026875972747803, 1.1017794609069824, 1.100984811782837, 1.1000785827636719, 1.0991714000701904, 1.0982658863067627, 1.0973615646362305, 1.0964577198028564, 1.095555067062378, 1.0946540832519531, 1.0937540531158447, 1.0928561687469482, 1.0919604301452637, 1.091066598892212, 1.0901756286621094, 1.0892868041992188, 1.088399887084961, 1.0875167846679688, 1.0866353511810303, 1.0857760906219482, 1.0849013328552246, 1.084028959274292, 1.0831592082977295, 1.0822937488555908, 1.0814318656921387, 1.0805740356445312, 1.0797019004821777, 1.0789549350738525, 1.0781090259552002, 1.0772674083709717, 1.076312780380249, 1.0754797458648682, 1.0746631622314453, 1.0738234519958496, 1.0730035305023193, 1.072188138961792, 1.0713765621185303, 1.0706369876861572, 1.0698370933532715, 1.0690393447875977, 1.068249225616455, 1.0674631595611572, 1.0666823387145996, 1.0659067630767822, 1.065326452255249, 1.0643792152404785, 1.0636177062988281, 1.0628621578216553, 1.0621116161346436, 1.061366319656372, 1.0605759620666504, 1.0598394870758057, 1.059110403060913, 1.058384656906128, 1.0576646327972412, 1.0569489002227783, 1.0562355518341064, 1.0555286407470703, 1.0548253059387207, 1.0541257858276367, 1.0534310340881348, 1.0527400970458984, 1.052053451538086, 1.0513689517974854, 1.050689697265625, 1.0500154495239258, 1.049344539642334, 1.0476984977722168, 1.0470070838928223, 1.046321153640747, 1.0456748008728027, 1.0450191497802734, 1.0443477630615234, 1.0436789989471436, 1.0430176258087158, 1.0423574447631836, 1.041703701019287, 1.0410549640655518, 1.0404105186462402, 1.0397722721099854, 1.0391383171081543, 1.0379226207733154, 1.0373005867004395, 1.0366835594177246, 1.03607177734375, 1.0354633331298828, 1.0348615646362305, 1.0342626571655273, 1.0336675643920898, 1.033078908920288, 1.0324938297271729, 1.0319137573242188, 1.0313386917114258, 1.0307672023773193, 1.0302019119262695, 1.0296399593353271, 1.0290820598602295, 1.0285298824310303, 1.0279817581176758, 1.0274381637573242, 1.0268993377685547, 1.0263640880584717, 1.0258350372314453, 1.0253100395202637, 1.0247900485992432, 1.02427339553833, 1.0237603187561035, 1.0232508182525635, 1.0227465629577637, 1.0222463607788086, 1.0217506885528564, 1.0212607383728027, 1.0207734107971191, 1.0202913284301758, 1.0198156833648682, 1.0193428993225098, 1.0188748836517334, 1.0181963443756104], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014231606386601925, -0.01738053187727928, 0.005346930120140314), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00640435004606843, -0.009296774864196777, -0.00844122190028429), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009327723644673824, -0.014534514397382736, -0.019092008471488953), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004815524909645319, -0.009766245260834694, 0.0022137360647320747), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0024569800589233637, -0.0049256011843681335, -0.005099332891404629), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004633727483451366, -0.002752525033429265, -0.006253316532820463), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003842046018689871, -0.004193458706140518, -0.006860105320811272), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0013322263257578015, -0.00439231563359499, -0.006548181176185608), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01104322075843811, -0.002030454808846116, -0.003018294693902135), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.056836970150470734, -0.05847626179456711, -0.011755158193409443), (0.003973664715886116, -0.07631506025791168, 0.053878601640462875)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=48, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4010194540023804, 2.4518544673919678, 23.067052841186523), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.007828004658222198, 4.896437644958496, 23.05278205871582), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4089624881744385, 7.351970672607422, 23.048683166503906), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.216286659240723, 2.4342126846313477, 23.044828414916992), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.794314384460449, 4.897359848022461, 23.041664123535156), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4026861190795898, 7.337977409362793, 23.071582794189453), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.051051616668701, 2.4379749298095703, 23.054058074951172), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.646868705749512, 4.8864359855651855, 23.190641403198242), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.214029788970947, 7.353580951690674, 23.039644241333008), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.560940742492676, 4.948727130889893, 25.19170379638672), (5.8378987312316895, 4.073604106903076, 25.539087295532227)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0009737014770508, energy_trajectory=[1.5059456825256348, 1.4976685047149658, 1.489678144454956, 1.4817755222320557, 1.474273681640625, 1.4661543369293213, 1.459094524383545, 1.4522244930267334, 1.445704698562622, 1.4391555786132812, 1.4332098960876465, 1.4271554946899414, 1.42097806930542, 1.414902925491333, 1.4089090824127197, 1.4030334949493408, 1.3972504138946533, 1.3915576934814453, 1.3859503269195557, 1.3804268836975098, 1.3749830722808838, 1.369616985321045, 1.3643245697021484, 1.3591046333312988, 1.3541665077209473, 1.349086046218872, 1.34407377243042, 1.3391282558441162, 1.3342466354370117, 1.3294272422790527, 1.3248028755187988, 1.3201053142547607, 1.3154680728912354, 1.310889482498169, 1.3063693046569824, 1.3018708229064941, 1.29819655418396, 1.2938528060913086, 1.2895634174346924, 1.2854795455932617, 1.281296968460083, 1.2771663665771484, 1.2730870246887207, 1.2690582275390625, 1.2650444507598877, 1.2611103057861328, 1.2572259902954102, 1.253174066543579, 1.2493858337402344, 1.2456445693969727, 1.2419509887695312, 1.2383031845092773, 1.23469877243042, 1.2311413288116455, 1.2276287078857422, 1.2241616249084473, 1.220738410949707, 1.2173573970794678, 1.214057207107544, 1.2107610702514648, 1.207505464553833, 1.2042896747589111, 1.2011144161224365, 1.1979765892028809, 1.194878339767456, 1.1918163299560547, 1.1888577938079834, 1.1858680248260498, 1.1829147338867188, 1.1799938678741455, 1.177107810974121, 1.1742541790008545, 1.1714351177215576, 1.1686468124389648, 1.1658909320831299, 1.16316556930542, 1.1604719161987305, 1.157808542251587, 1.1551737785339355, 1.1525683403015137, 1.149993658065796, 1.1474456787109375, 1.1449270248413086, 1.14243745803833, 1.139845848083496, 1.137408971786499, 1.1350021362304688, 1.132622241973877, 1.1310367584228516, 1.12870192527771, 1.1263961791992188, 1.124117136001587, 1.1230440139770508, 1.1208581924438477, 1.1186375617980957, 1.1164436340332031, 1.1142747402191162, 1.1121339797973633, 1.1100184917449951, 1.107928991317749, 1.105867624282837, 1.103832721710205, 1.1018226146697998, 1.099839210510254, 1.09788179397583, 1.0959179401397705, 1.0940132141113281, 1.0921344757080078, 1.090282678604126, 1.088456153869629, 1.0866546630859375, 1.084878921508789, 1.0828309059143066, 1.08109712600708, 1.0793876647949219, 1.0777010917663574, 1.0760376453399658, 1.0746521949768066, 1.0730314254760742, 1.0714404582977295, 1.069868564605713, 1.0683176517486572, 1.0667850971221924, 1.066756010055542, 1.0652294158935547, 1.063722848892212, 1.0622355937957764, 1.0607759952545166, 1.059662103652954, 1.0582642555236816, 1.0568952560424805, 1.0555565357208252, 1.054246187210083, 1.0522840023040771, 1.0510387420654297, 1.049818515777588, 1.04862380027771, 1.0474574565887451, 1.0463616847991943, 1.0452446937561035, 1.0441553592681885, 1.043091058731079, 1.042052984237671, 1.0414113998413086, 1.0404253005981445, 1.0394647121429443, 1.038529872894287, 1.0376207828521729, 1.0367374420166016, 1.0358996391296387, 1.0350680351257324, 1.0340845584869385, 1.0333013534545898, 1.0325422286987305, 1.0318076610565186, 1.0310959815979004, 1.0304088592529297, 1.029806137084961, 1.028914451599121, 1.0282931327819824, 1.0276906490325928, 1.0271077156066895, 1.0265421867370605, 1.0259928703308105, 1.0254592895507812, 1.024939775466919, 1.0244331359863281, 1.0239393711090088, 1.023456335067749, 1.0229849815368652, 1.0225229263305664, 1.0220718383789062, 1.0217375755310059, 1.021305799484253, 1.0208830833435059, 1.0204699039459229, 1.020066261291504, 1.019669771194458, 1.0181500911712646, 1.0177721977233887, 1.0173990726470947, 1.0170340538024902, 1.0166752338409424, 1.0163228511810303, 1.0159764289855957, 1.015636920928955, 1.0153067111968994, 1.0149812698364258, 1.0146634578704834, 1.0143537521362305, 1.014049768447876, 1.0137534141540527, 1.0134637355804443, 1.0130946636199951, 1.012819766998291, 1.0125515460968018, 1.01228928565979, 1.012033462524414, 1.0117831230163574, 1.0115394592285156, 1.0111823081970215, 1.0109503269195557, 1.0107243061065674, 1.0105020999908447, 1.010286569595337, 1.0100750923156738, 1.0098676681518555, 1.0096642971038818, 1.009464979171753, 1.0092692375183105, 1.0090761184692383, 1.008887529373169, 1.0087013244628906, 1.00816011428833, 1.0079798698425293, 1.007249355316162, 1.007143259048462, 1.0069725513458252, 1.0068027973175049, 1.0066351890563965, 1.0064702033996582, 1.0067453384399414, 1.0065829753875732, 1.006352186203003, 1.0061910152435303, 1.0060310363769531, 1.005873680114746, 1.0057175159454346, 1.005563497543335, 1.0054121017456055, 1.0052618980407715, 1.0051143169403076, 1.0049684047698975, 1.0048251152038574, 1.0046849250793457, 1.0045454502105713, 1.0044090747833252, 1.0042757987976074, 1.0041441917419434, 1.0040154457092285, 1.0038893222808838, 1.0037641525268555, 1.0036442279815674, 1.0035252571105957, 1.0034098625183105, 1.003295660018921, 1.0031847953796387, 1.0030765533447266, 1.002959966659546, 1.0028586387634277, 1.0027596950531006, 1.0026636123657227, 1.0025715827941895, 1.00248122215271, 1.002394676208496, 1.002458095550537, 1.0024986267089844, 1.0024220943450928, 1.0023488998413086, 1.0022776126861572, 1.002249002456665, 1.002182960510254, 1.002120018005371, 1.0020592212677002, 1.0020017623901367, 1.0019464492797852, 1.001894235610962, 1.001842975616455, 1.0017952919006348, 1.0017499923706055, 1.0017070770263672, 1.0016651153564453, 1.0016272068023682, 1.001589298248291, 1.0015547275543213, 1.0015208721160889, 1.0015408992767334, 1.0015113353729248, 1.0014827251434326, 1.0014567375183105, 1.0014307498931885, 1.0014073848724365, 1.0013854503631592, 1.0013651847839355, 1.0013458728790283, 1.0013279914855957, 1.0013117790222168, 1.0012974739074707, 1.001284122467041, 1.0012733936309814, 1.00126314163208, 1.001255989074707, 1.0012493133544922, 1.0012457370758057, 1.0012426376342773, 1.0012423992156982, 1.0012438297271729, 1.0009617805480957, 1.0009667873382568, 1.0009737014770508], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006721327546983957, -0.004871776327490807, -0.010820184834301472), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0048171356320381165, -0.004954964853823185, -0.009708082303404808), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003935596905648708, -0.006574247498065233, -0.009261430241167545), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009779391810297966, 0.004146656021475792, 0.0036234164144843817), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013579096645116806, -0.005600914359092712, 0.0036990155931562185), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005502615123987198, -0.003290777327492833, -0.011891406029462814), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0032255901023745537, -0.0016234657960012555, -0.009929644875228405), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0024934490211308002, -0.0005058940732851624, -0.032338764518499374), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008611182682216167, -0.011241327971220016, 0.0060017770156264305), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008199107833206654, -7.919174822745845e-05, -0.033404696732759476), (0.0024342017713934183, 0.028148900717496872, -0.11679013073444366)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=49, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.421152949333191, 2.441162347793579, 23.07724952697754), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.004696268122643232, 4.861598491668701, 23.04140281677246), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.409698724746704, 7.330625057220459, 23.05879783630371), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.238761901855469, 2.4496383666992188, 23.059919357299805), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.843676805496216, 4.848409652709961, 23.040828704833984), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.407530426979065, 7.334975242614746, 23.13082504272461), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.0707879066467285, 2.4531803131103516, 23.054731369018555), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.657379150390625, 4.880605220794678, 23.06720733642578), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.287530422210693, 7.334659099578857, 23.024738311767578), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.802605390548706, 6.950372695922852, 25.062915802001953), (2.5638015270233154, 7.529257297515869, 25.288137435913086)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0693507194519043, energy_trajectory=[1.4303934574127197, 1.4229485988616943, 1.4157238006591797, 1.4086761474609375, 1.4020085334777832, 1.395578145980835, 1.3892176151275635, 1.3829894065856934, 1.3769116401672363, 1.3709313869476318, 1.3651869297027588, 1.359426498413086, 1.3539021015167236, 1.3486859798431396, 1.3441383838653564, 1.3390798568725586, 1.3346266746520996, 1.3303868770599365, 1.3264293670654297, 1.322577714920044, 1.318885087966919, 1.3155083656311035, 1.3121411800384521, 1.3088715076446533, 1.305746078491211, 1.3027374744415283, 1.299839735031128, 1.2972230911254883, 1.2945234775543213, 1.2919163703918457, 1.2893931865692139, 1.287060260772705, 1.2846932411193848, 1.282397747039795, 1.2801692485809326, 1.278003215789795, 1.2758970260620117, 1.2738311290740967, 1.2718300819396973, 1.2698769569396973, 1.2679684162139893, 1.265932559967041, 1.2641026973724365, 1.2623069286346436, 1.2605445384979248, 1.2588112354278564, 1.257106065750122, 1.2554266452789307, 1.2537682056427002, 1.2521302700042725, 1.2505347728729248, 1.2489838600158691, 1.247474193572998, 1.2460017204284668, 1.244565725326538, 1.2431628704071045, 1.2417912483215332, 1.2404487133026123, 1.2391338348388672, 1.237844705581665, 1.2365808486938477, 1.2353394031524658, 1.2341063022613525, 1.232907772064209, 1.2317278385162354, 1.2305669784545898, 1.2294237613677979, 1.2282986640930176, 1.2271885871887207, 1.2260947227478027, 1.2250144481658936, 1.2239477634429932, 1.2228941917419434, 1.221853256225586, 1.220823049545288, 1.2198059558868408, 1.2187981605529785, 1.217801809310913, 1.2168142795562744, 1.2158362865447998, 1.2148680686950684, 1.2139081954956055, 1.2129578590393066, 1.2120161056518555, 1.211083173751831, 1.210158348083496, 1.2092421054840088, 1.208333969116211, 1.207435131072998, 1.2065446376800537, 1.2057280540466309, 1.2048261165618896, 1.2039616107940674, 1.2031066417694092, 1.2022590637207031, 1.201420545578003, 1.2006182670593262, 1.200124740600586, 1.1993093490600586, 1.198502540588379, 1.1977026462554932, 1.1969099044799805, 1.1961233615875244, 1.1953434944152832, 1.194570541381836, 1.193802833557129, 1.193040370941162, 1.19228196144104, 1.1915278434753418, 1.1907777786254883, 1.1900312900543213, 1.1892876625061035, 1.1885461807250977, 1.1878061294555664, 1.1870684623718262, 1.1863317489624023, 1.1855957508087158, 1.1848604679107666, 1.1841261386871338, 1.1833913326263428, 1.1826567649841309, 1.1819226741790771, 1.1811881065368652, 1.1805815696716309, 1.1798458099365234, 1.1791105270385742, 1.1783764362335205, 1.1776437759399414, 1.1767685413360596, 1.1760385036468506, 1.1753089427947998, 1.1745812892913818, 1.1738557815551758, 1.1736583709716797, 1.172933578491211, 1.1722118854522705, 1.1714940071105957, 1.1707792282104492, 1.1700680255889893, 1.1693596839904785, 1.168654441833496, 1.167952537536621, 1.1672546863555908, 1.1665596961975098, 1.1658680438995361, 1.1651780605316162, 1.1644914150238037, 1.1638071537017822, 1.163125991821289, 1.162447214126587, 1.1617701053619385, 1.1610949039459229, 1.1604220867156982, 1.1597511768341064, 1.159080982208252, 1.1584126949310303, 1.157745599746704, 1.1570794582366943, 1.1564147472381592, 1.1558117866516113, 1.1551499366760254, 1.1544878482818604, 1.153827428817749, 1.153167724609375, 1.1525089740753174, 1.1518502235412598, 1.1510612964630127, 1.1504054069519043, 1.1497509479522705, 1.1490974426269531, 1.1484453678131104, 1.1477956771850586, 1.1471469402313232, 1.1464991569519043, 1.1458532810211182, 1.1452090740203857, 1.1446516513824463, 1.144010305404663, 1.1433711051940918, 1.1427335739135742, 1.1420972347259521, 1.1414613723754883, 1.1408274173736572, 1.1401946544647217, 1.1395630836486816, 1.1389315128326416, 1.1383004188537598, 1.1376700401306152, 1.1370398998260498, 1.136409044265747, 1.1357779502868652, 1.1351466178894043, 1.134514331817627, 1.133880853652954, 1.1337041854858398, 1.133068323135376, 1.1324305534362793, 1.1317906379699707, 1.1311492919921875, 1.130432367324829, 1.129786729812622, 1.1291394233703613, 1.1284904479980469, 1.1278400421142578, 1.1271886825561523, 1.1265349388122559, 1.1258819103240967, 1.1252269744873047, 1.1245713233947754, 1.1239159107208252, 1.123260498046875, 1.1226043701171875, 1.121948480606079, 1.1213781833648682, 1.1207242012023926, 1.1200718879699707, 1.1194210052490234, 1.1187701225280762, 1.1181201934814453, 1.1174733638763428, 1.1168267726898193, 1.116182804107666, 1.1155405044555664, 1.1148996353149414, 1.114259958267212, 1.1136224269866943, 1.1129858493804932, 1.1123499870300293, 1.111715316772461, 1.1110820770263672, 1.1104488372802734, 1.1098158359527588, 1.1091835498809814, 1.108551263809204, 1.1079182624816895, 1.1072850227355957, 1.106652021408081, 1.1060185432434082, 1.105384349822998, 1.104750156402588, 1.1041145324707031, 1.1034789085388184, 1.1028423309326172, 1.102205514907837, 1.101567029953003, 1.101090908050537, 1.100438117980957, 1.099618911743164, 1.0989627838134766, 1.0983061790466309, 1.0976505279541016, 1.096994161605835, 1.096339225769043, 1.0956850051879883, 1.0972251892089844, 1.0965535640716553, 1.095884084701538, 1.095219373703003, 1.0945568084716797, 1.093898057937622, 1.092764139175415, 1.0921032428741455, 1.0914478302001953, 1.0907952785491943, 1.0901463031768799, 1.0895001888275146, 1.088857650756836, 1.0882174968719482, 1.0871174335479736, 1.086491346359253, 1.0858676433563232, 1.0852465629577637, 1.0846283435821533, 1.0840132236480713, 1.083400011062622, 1.0827903747558594, 1.082183837890625, 1.081580400466919, 1.080979824066162, 1.0803823471069336, 1.0798900127410889, 1.0793039798736572, 1.0787208080291748, 1.0781433582305908, 1.0775673389434814, 1.0769963264465332, 1.0764284133911133, 1.0758647918701172, 1.0753045082092285, 1.0747475624084473, 1.0741941928863525, 1.0736439228057861, 1.0730974674224854, 1.0725538730621338, 1.0720136165618896, 1.0714759826660156, 1.0709412097930908, 1.0704083442687988, 1.0698785781860352, 1.0693507194519043], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0026322731282562017, -0.005193834658712149, -0.016824275255203247), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0016243078280240297, 0.002081984654068947, -0.0029013731982558966), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005411324556916952, -0.0041078077629208565, -0.015303822234272957), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0037263939157128334, -0.005688039120286703, -0.015042430721223354), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004409393295645714, 0.012665238231420517, -0.003015191527083516), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014003423973917961, -0.020552417263388634, -0.007532275281846523), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0055506532080471516, -0.00863788090646267, -0.010415231809020042), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006594005040824413, -0.0021269461140036583, -0.009614190086722374), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02889900654554367, -0.010717968456447124, 0.012379482388496399), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.09575161337852478, 0.09663202613592148, 0.030345847830176353), (-0.06027564778923988, -0.0072521488182246685, 0.07256615161895752)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=50, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4235811233520508, 2.471550941467285, 23.071821212768555), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.011013654991984367, 4.910223484039307, 23.0592098236084), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4098975658416748, 7.35616397857666, 23.050872802734375), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.224246025085449, 2.4931299686431885, 23.04100799560547), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8334767818450928, 4.903783798217773, 23.05426025390625), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4272501468658447, 7.3743438720703125, 23.150306701660156), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.085556983947754, 2.5034079551696777, 23.028968811035156), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.654131889343262, 4.916171073913574, 23.06713104248047), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.270718574523926, 7.35571813583374, 23.041656494140625), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.860977649688721, 0.3795469105243683, 25.118539810180664), (5.764501094818115, -0.4698231518268585, 25.595762252807617)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0294098854064941, energy_trajectory=[1.8551502227783203, 1.8472833633422852, 1.841036081314087, 1.8348040580749512, 1.828629732131958, 1.822547435760498, 1.8165345191955566, 1.8105809688568115, 1.8048453330993652, 1.7989740371704102, 1.7931418418884277, 1.7874295711517334, 1.7816598415374756, 1.7759199142456055, 1.7701163291931152, 1.7644314765930176, 1.7587714195251465, 1.7531368732452393, 1.747525930404663, 1.7418549060821533, 1.7362933158874512, 1.7307546138763428, 1.7252402305603027, 1.7197461128234863, 1.7142705917358398, 1.7088167667388916, 1.7033817768096924, 1.697965383529663, 1.6925702095031738, 1.6871960163116455, 1.6818394660949707, 1.676501989364624, 1.6711816787719727, 1.6658804416656494, 1.660597801208496, 1.6553332805633545, 1.6500890254974365, 1.644862174987793, 1.6396582126617432, 1.6344730854034424, 1.6293065547943115, 1.624159574508667, 1.619032859802246, 1.6139249801635742, 1.6088402271270752, 1.6037771701812744, 1.5987396240234375, 1.5937235355377197, 1.5887322425842285, 1.5837607383728027, 1.5788140296936035, 1.5738911628723145, 1.5689938068389893, 1.5641248226165771, 1.5592846870422363, 1.5544679164886475, 1.549678087234497, 1.5449140071868896, 1.5401771068572998, 1.5354702472686768, 1.530787467956543, 1.5261306762695312, 1.5215013027191162, 1.5169005393981934, 1.512432336807251, 1.5078823566436768, 1.5033268928527832, 1.4988317489624023, 1.4943602085113525, 1.4900364875793457, 1.4856181144714355, 1.4812228679656982, 1.4768562316894531, 1.4725117683410645, 1.4681918621063232, 1.4638991355895996, 1.4596304893493652, 1.4553892612457275, 1.451172113418579, 1.4469940662384033, 1.4428303241729736, 1.438795566558838, 1.4346811771392822, 1.430593490600586, 1.4263958930969238, 1.4223566055297852, 1.4183411598205566, 1.4143526554107666, 1.410388708114624, 1.406451940536499, 1.402538537979126, 1.3986542224884033, 1.3947930335998535, 1.3909592628479004, 1.3871541023254395, 1.3833718299865723, 1.37961745262146, 1.3758881092071533, 1.3721842765808105, 1.3685061931610107, 1.364856481552124, 1.3611836433410645, 1.3575842380523682, 1.3540093898773193, 1.3504600524902344, 1.347181797027588, 1.343684434890747, 1.3402106761932373, 1.3369190692901611, 1.333495855331421, 1.330021858215332, 1.326650857925415, 1.323303461074829, 1.3199810981750488, 1.3166847229003906, 1.3134117126464844, 1.310276985168457, 1.3070549964904785, 1.303626298904419, 1.3004498481750488, 1.2972984313964844, 1.2941694259643555, 1.2910640239715576, 1.288090467453003, 1.2850322723388672, 1.2819993495941162, 1.279024600982666, 1.2760393619537354, 1.2730753421783447, 1.2701358795166016, 1.2672202587127686, 1.2645859718322754, 1.261713981628418, 1.2588675022125244, 1.2560420036315918, 1.253711462020874, 1.2509312629699707, 1.2481744289398193, 1.2454400062561035, 1.2427260875701904, 1.2400367259979248, 1.2373695373535156, 1.234724521636963, 1.2321016788482666, 1.2295000553131104, 1.2269208431243896, 1.2243626117706299, 1.2218265533447266, 1.2193121910095215, 1.2168185710906982, 1.2143476009368896, 1.2118406295776367, 1.209409475326538, 1.2069981098175049, 1.2046077251434326, 1.2022340297698975, 1.1998827457427979, 1.1964597702026367, 1.1942429542541504, 1.1917762756347656, 1.1894927024841309, 1.187225341796875, 1.184912919998169, 1.1826822757720947, 1.1804687976837158, 1.178274393081665, 1.175987720489502, 1.1738255023956299, 1.1716816425323486, 1.1695539951324463, 1.167443037033081, 1.1652660369873047, 1.1631872653961182, 1.1611266136169434, 1.159081220626831, 1.1570518016815186, 1.1550405025482178, 1.1530447006225586, 1.151066780090332, 1.1491048336029053, 1.1471593379974365, 1.1452302932739258, 1.1433186531066895, 1.1414241790771484, 1.1395483016967773, 1.1376867294311523, 1.1358437538146973, 1.1340179443359375, 1.1322107315063477, 1.1304192543029785, 1.1286516189575195, 1.126908540725708, 1.125192403793335, 1.123253345489502, 1.1216211318969727, 1.1200432777404785, 1.1183724403381348, 1.1167781352996826, 1.1152198314666748, 1.1136746406555176, 1.112151861190796, 1.1106512546539307, 1.1091749668121338, 1.1077210903167725, 1.106287956237793, 1.1048786640167236, 1.1034913063049316, 1.1021239757537842, 1.1007797718048096, 1.0994553565979004, 1.0981533527374268, 1.096872091293335, 1.0956101417541504, 1.094367504119873, 1.093144178390503, 1.0915465354919434, 1.0903608798980713, 1.0891919136047363, 1.0880405902862549, 1.0869076251983643, 1.0857899188995361, 1.0846891403198242, 1.0836050510406494, 1.0825355052947998, 1.0814812183380127, 1.0804431438446045, 1.0794191360473633, 1.0784099102020264, 1.0774133205413818, 1.0764319896697998, 1.0754644870758057, 1.0745091438293457, 1.0735676288604736, 1.074143886566162, 1.073190450668335, 1.0723333358764648, 1.0714070796966553, 1.070493459701538, 1.0695929527282715, 1.0687050819396973, 1.0678272247314453, 1.066962718963623, 1.0661084651947021, 1.0652656555175781, 1.0644335746765137, 1.0634112358093262, 1.0625996589660645, 1.061795949935913, 1.0609278678894043, 1.0616402626037598, 1.0608634948730469, 1.0600943565368652, 1.0593340396881104, 1.058579921722412, 1.0578341484069824, 1.0570948123931885, 1.0563616752624512, 1.0556354522705078, 1.0549170970916748, 1.0542032718658447, 1.0534965991973877, 1.0527968406677246, 1.0521020889282227, 1.0514154434204102, 1.050731897354126, 1.0500562191009521, 1.04685640335083, 1.0462052822113037, 1.0455613136291504, 1.044921636581421, 1.0442891120910645, 1.043663501739502, 1.0430448055267334, 1.0421879291534424, 1.0415849685668945, 1.040989875793457, 1.040403127670288, 1.0398249626159668, 1.0392541885375977, 1.0386929512023926, 1.0381412506103516, 1.03759765625, 1.0370633602142334, 1.0365376472473145, 1.0360236167907715, 1.0355186462402344, 1.035022497177124, 1.0345361232757568, 1.0340604782104492, 1.0335922241210938, 1.033134937286377, 1.0326874256134033, 1.032247543334961, 1.0318183898925781, 1.0313963890075684, 1.0309829711914062, 1.0305771827697754, 1.0301823616027832, 1.0297927856445312, 1.0294098854064941], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0015025428729131818, 0.0009312810725532472, -0.007163757923990488), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0012509123189374804, -0.0006531131220981479, -0.008312487043440342), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0004236693785060197, 0.0018794143106788397, -0.008885910734534264), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007249337621033192, -0.006178755313158035, 0.001902040559798479), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00020227491040714085, 0.003682068083435297, -0.007666411809623241), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0004975564079359174, -0.010003135539591312, 0.02621120773255825), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009966814890503883, -0.015730317682027817, 0.013082033023238182), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00048249520477838814, -0.000641964259557426, -0.007199500687420368), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011354219168424606, 0.0026148485485464334, 0.0060876645147800446), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0786164179444313, -0.060937415808439255, 0.03885706514120102), (-0.016643725335597992, -0.09776803851127625, -0.07268089056015015)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=51, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.390620470046997, 2.4361791610717773, 23.039886474609375), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.04111481457948685, 4.9038190841674805, 23.038742065429688), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4231128692626953, 7.345561981201172, 23.066492080688477), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.2253570556640625, 2.4478166103363037, 23.050518035888672), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.7982470989227295, 4.899158477783203, 23.152694702148438), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3888400793075562, 7.362677574157715, 23.042264938354492), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.039735317230225, 2.457360029220581, 23.062864303588867), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.637690544128418, 4.901721954345703, 23.049421310424805), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.2291388511657715, 7.353771209716797, 23.047101974487305), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (2.500049114227295, 4.919754505157471, 25.134309768676758), (2.3120486736297607, 3.9876668453216553, 25.37813377380371)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0212693214416504, energy_trajectory=[1.4249701499938965, 1.4173860549926758, 1.4099116325378418, 1.4026851654052734, 1.395719051361084, 1.3889985084533691, 1.3824958801269531, 1.3761861324310303, 1.3696293830871582, 1.3636445999145508, 1.3577980995178223, 1.3519916534423828, 1.3464441299438477, 1.3409502506256104, 1.3355586528778076, 1.3302638530731201, 1.3250625133514404, 1.3199498653411865, 1.314924716949463, 1.3099868297576904, 1.3051340579986572, 1.3001739978790283, 1.2954888343811035, 1.2908854484558105, 1.2863333225250244, 1.281909704208374, 1.2775509357452393, 1.2732720375061035, 1.269073724746704, 1.26495361328125, 1.260908603668213, 1.2585313320159912, 1.2543389797210693, 1.2505109310150146, 1.2476952075958252, 1.2440085411071777, 1.240490198135376, 1.2369427680969238, 1.2334620952606201, 1.2300481796264648, 1.2266981601715088, 1.2234117984771729, 1.220189094543457, 1.2170288562774658, 1.2139296531677246, 1.2108924388885498, 1.207913875579834, 1.2049951553344727, 1.202134132385254, 1.199329137802124, 1.1965811252593994, 1.1938860416412354, 1.191246747970581, 1.1873431205749512, 1.184814453125, 1.1823363304138184, 1.1799066066741943, 1.1778531074523926, 1.1755180358886719, 1.173229694366455, 1.171013593673706, 1.1688106060028076, 1.1666488647460938, 1.1645286083221436, 1.1624476909637451, 1.1604058742523193, 1.1584007740020752, 1.1564323902130127, 1.1544785499572754, 1.152578353881836, 1.1507108211517334, 1.1492230892181396, 1.14742112159729, 1.1456501483917236, 1.1439085006713867, 1.142195701599121, 1.1405115127563477, 1.138855218887329, 1.1372272968292236, 1.1356253623962402, 1.1340503692626953, 1.1325018405914307, 1.1309788227081299, 1.129523754119873, 1.1280531883239746, 1.1266093254089355, 1.1251914501190186, 1.1238043308258057, 1.122462511062622, 1.1211638450622559, 1.1198320388793945, 1.1186175346374512, 1.117443561553955, 1.1163077354431152, 1.1152079105377197, 1.1141448020935059, 1.1131160259246826, 1.1124191284179688, 1.1114585399627686, 1.1101963520050049, 1.1092960834503174, 1.1084263324737549, 1.1075842380523682, 1.1068263053894043, 1.106215238571167, 1.1052494049072266, 1.1045100688934326, 1.1037893295288086, 1.1029751300811768, 1.1022889614105225, 1.101619005203247, 1.100961685180664, 1.1003148555755615, 1.099679946899414, 1.0990538597106934, 1.0984342098236084, 1.0978248119354248, 1.0972239971160889, 1.0966308116912842, 1.0961861610412598, 1.095609188079834, 1.0950381755828857, 1.094472885131836, 1.0939147472381592, 1.0933623313903809, 1.0928153991699219, 1.0922739505767822, 1.0917372703552246, 1.0912046432495117, 1.0906767845153809, 1.090153694152832, 1.0896334648132324, 1.0891189575195312, 1.088606357574463, 1.0880987644195557, 1.087594747543335, 1.0870945453643799, 1.0865988731384277, 1.0861060619354248, 1.085618257522583, 1.0851342678070068, 1.0846545696258545, 1.084179162979126, 1.0837087631225586, 1.0832428932189941, 1.08278226852417, 1.0823259353637695, 1.0818760395050049, 1.0814306735992432, 1.0809905529022217, 1.0805561542510986, 1.0801262855529785, 1.0797030925750732, 1.0792837142944336, 1.0788707733154297, 1.07865571975708, 1.0782506465911865, 1.0778512954711914, 1.0774550437927246, 1.0770649909973145, 1.0766205787658691, 1.0762348175048828, 1.075852394104004, 1.0754730701446533, 1.0750961303710938, 1.0747215747833252, 1.0743482112884521, 1.0739762783050537, 1.0736048221588135, 1.0730252265930176, 1.0728847980499268, 1.0725128650665283, 1.0721399784088135, 1.0717649459838867, 1.0713882446289062, 1.071009635925293, 1.0706300735473633, 1.0702464580535889, 1.069861888885498, 1.069448709487915, 1.0690572261810303, 1.068662166595459, 1.0682642459869385, 1.0681405067443848, 1.06764817237854, 1.0672404766082764, 1.0668301582336426, 1.0664174556732178, 1.0660028457641602, 1.065263032913208, 1.0648400783538818, 1.0644161701202393, 1.063990831375122, 1.0635643005371094, 1.0652916431427002, 1.0648658275604248, 1.0644440650939941, 1.0640227794647217, 1.0636050701141357, 1.0631146430969238, 1.062701940536499, 1.0622916221618652, 1.061882734298706, 1.0614259243011475, 1.061020851135254, 1.0605571269989014, 1.0607106685638428, 1.0603647232055664, 1.0599586963653564, 1.05955171585083, 1.0591444969177246, 1.0587348937988281, 1.058323860168457, 1.057910680770874, 1.0574944019317627, 1.057075023651123, 1.0569419860839844, 1.0564861297607422, 1.0561671257019043, 1.0551559925079346, 1.0547263622283936, 1.0542933940887451, 1.053755283355713, 1.0533173084259033, 1.0528748035430908, 1.0524287223815918, 1.05198073387146, 1.0515291690826416, 1.0510756969451904, 1.0506203174591064, 1.0501666069030762, 1.0497105121612549, 1.049255609512329, 1.0488007068634033, 1.0483474731445312, 1.0479176044464111, 1.0474679470062256, 1.0468635559082031, 1.046480417251587, 1.0460340976715088, 1.0456116199493408, 1.0451679229736328, 1.0447275638580322, 1.0439634323120117, 1.0435335636138916, 1.043111801147461, 1.0424396991729736, 1.0419540405273438, 1.041555404663086, 1.041163444519043, 1.0407803058624268, 1.0404057502746582, 1.0400364398956299, 1.0396742820739746, 1.0393187999725342, 1.0389702320098877, 1.0386266708374023, 1.0382881164550781, 1.0379531383514404, 1.037623405456543, 1.0372955799102783, 1.0365417003631592, 1.0362210273742676, 1.0359008312225342, 1.0355815887451172, 1.0352623462677002, 1.034945011138916, 1.0346267223358154, 1.034308910369873, 1.0339903831481934, 1.0336723327636719, 1.0333528518676758, 1.0330331325531006, 1.0327134132385254, 1.032390832901001, 1.0320682525634766, 1.031745195388794, 1.0314207077026367, 1.0310964584350586, 1.0307719707489014, 1.0304479598999023, 1.0301225185394287, 1.0272629261016846, 1.0269277095794678, 1.02659010887146, 1.0262494087219238, 1.0259087085723877, 1.025566577911377, 1.0252246856689453, 1.0248827934265137, 1.0245418548583984, 1.0241725444793701, 1.0238325595855713, 1.0234928131103516, 1.0231549739837646, 1.0228188037872314, 1.022481918334961, 1.022146463394165, 1.0216038227081299, 1.0212693214416504], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0032474377658218145, -0.015396058559417725, -0.00037854729453101754), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005893984343856573, -0.005202048923820257, 0.008658169768750668), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003499169135466218, -0.0045998492278158665, 0.0030158960726112127), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0010894258739426732, -0.007681011687964201, 0.0016575222834944725), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0013808687217533588, 0.011507025919854641, -0.004862096160650253), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005610394291579723, 0.004840850830078125, -0.0020811643917113543), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002493856707587838, -0.007058100309222937, 0.0029014458414167166), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00363582419231534, -0.006035639904439449, 0.0014797885669395328), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002319282153621316, 2.410676097497344e-05, 0.0022705686278641224), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.09257536381483078, -0.01673431508243084, -0.018211498856544495), (0.030597474426031113, 0.04101390764117241, 0.040876928716897964)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=52, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.428054690361023, 2.425943374633789, 23.036489486694336), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.009816151112318039, 4.886141300201416, 23.13611602783203), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4090485572814941, 7.3383941650390625, 23.04973030090332), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.2376275062561035, 2.4441885948181152, 23.058515548706055), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.844144344329834, 4.890855312347412, 23.04398536682129), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4234890937805176, 7.341793537139893, 23.04705047607422), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.051112174987793, 2.4260916709899902, 23.039756774902344), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.6347761154174805, 4.888710975646973, 23.041473388671875), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.239720821380615, 7.331945419311523, 23.057798385620117), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (0.026630818843841553, 4.773776054382324, 25.134098052978516), (-0.7015103101730347, 5.348382472991943, 25.451576232910156)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9900059103965759, energy_trajectory=[1.1849608421325684, 1.1772029399871826, 1.1706249713897705, 1.164153814315796, 1.1581454277038574, 1.1518445014953613, 1.1456217765808105, 1.1394269466400146, 1.1333668231964111, 1.1274583339691162, 1.1218140125274658, 1.1164381504058838, 1.111332654953003, 1.1065030097961426, 1.1019482612609863, 1.0976667404174805, 1.0936551094055176, 1.090785026550293, 1.0873699188232422, 1.0841426849365234, 1.0811548233032227, 1.0783953666687012, 1.0758531093597412, 1.0734083652496338, 1.0712625980377197, 1.0692963600158691, 1.0674967765808105, 1.0677464008331299, 1.0661873817443848, 1.0647881031036377, 1.0634431838989258, 1.062270164489746, 1.061192274093628, 1.0601987838745117, 1.0592811107635498, 1.0584309101104736, 1.05763840675354, 1.0568981170654297, 1.0562021732330322, 1.0555458068847656, 1.0536043643951416, 1.0530016422271729, 1.0524241924285889, 1.0518670082092285, 1.0513269901275635, 1.0508010387420654, 1.050286054611206, 1.0497808456420898, 1.0492830276489258, 1.0487902164459229, 1.0483009815216064, 1.0478160381317139, 1.0473313331604004, 1.0468482971191406, 1.0463659763336182, 1.045884370803833, 1.0454015731811523, 1.0449550151824951, 1.0444715023040771, 1.0439870357513428, 1.043503761291504, 1.0430209636688232, 1.0425398349761963, 1.0420594215393066, 1.0415823459625244, 1.0411059856414795, 1.040632963180542, 1.0401620864868164, 1.0396945476531982, 1.039229393005371, 1.0388195514678955, 1.0383620262145996, 1.0379059314727783, 1.0374538898468018, 1.0371208190917969, 1.0366730690002441, 1.0362300872802734, 1.0357911586761475, 1.0353569984436035, 1.034928321838379, 1.03450345993042, 1.0340838432312012, 1.033668041229248, 1.033257246017456, 1.032850742340088, 1.0324490070343018, 1.0318844318389893, 1.0314900875091553, 1.031102180480957, 1.0307176113128662, 1.0303382873535156, 1.0309789180755615, 1.0306062698364258, 1.0302398204803467, 1.0298802852630615, 1.0295262336730957, 1.0291779041290283, 1.028834581375122, 1.0284953117370605, 1.026442050933838, 1.025822401046753, 1.025597095489502, 1.0252768993377686, 1.024958848953247, 1.0246422290802002, 1.024327278137207, 1.0240137577056885, 1.0237023830413818, 1.023393154144287, 1.0230860710144043, 1.0227820873260498, 1.0222046375274658, 1.021930456161499, 1.0216312408447266, 1.0213346481323242, 1.0210413932800293, 1.020749568939209, 1.020460605621338, 1.0201725959777832, 1.0199933052062988, 1.0198674201965332, 1.0195884704589844, 1.0193121433258057, 1.0190377235412598, 1.0187647342681885, 1.0184946060180664, 1.0182256698608398, 1.017958164215088, 1.0176947116851807, 1.01717209815979, 1.016911506652832, 1.0166525840759277, 1.016394853591919, 1.0161397457122803, 1.0158848762512207, 1.0156314373016357, 1.0153794288635254, 1.0151288509368896, 1.014878749847412, 1.0146293640136719, 1.0143017768859863, 1.0140531063079834, 1.0138051509857178, 1.0135579109191895, 1.0133111476898193, 1.0130653381347656, 1.0128183364868164, 1.0125718116760254, 1.0123248100280762, 1.0120785236358643, 1.0118319988250732, 1.0116219520568848, 1.0113732814788818, 1.0111238956451416, 1.010875940322876, 1.0106277465820312, 1.0103797912597656, 1.0101325511932373, 1.0098845958709717, 1.0096380710601807, 1.0093934535980225, 1.0091495513916016, 1.0089068412780762, 1.0086653232574463, 1.0084247589111328, 1.0081872940063477, 1.0079517364501953, 1.0077171325683594, 1.0074849128723145, 1.0072567462921143, 1.0070302486419678, 1.0068068504333496, 1.0065867900848389, 1.0063703060150146, 1.0061566829681396, 1.0059473514556885, 1.0057423114776611, 1.0055418014526367, 1.0053455829620361, 1.0051524639129639, 1.0049641132354736, 1.0047802925109863, 1.004601240158081, 1.0044276714324951, 1.0042579174041748, 1.0040922164916992, 1.0039324760437012, 1.0036864280700684, 1.0035347938537598, 1.0033881664276123, 1.0032455921173096, 1.0031073093414307, 1.0029723644256592, 1.0028419494628906, 1.0027153491973877, 1.0025837421417236, 1.0024657249450684, 1.002350091934204, 1.0022375583648682, 1.0021286010742188, 1.0020215511322021, 1.001880407333374, 1.001779556274414, 1.0016803741455078, 1.0015828609466553, 1.0014863014221191, 1.0013904571533203, 1.0012969970703125, 1.0012028217315674, 1.0011100769042969, 1.0010170936584473, 1.0009241104125977, 1.0008306503295898, 1.0007362365722656, 1.000640630722046, 1.000542402267456, 1.000443935394287, 1.0003418922424316, 1.0002379417419434, 1.0001320838928223, 1.000023603439331, 0.999911367893219, 0.9997962117195129, 0.999677836894989, 0.9994210600852966, 0.9992980360984802, 0.9991726279258728, 0.9990423321723938, 0.9989085793495178, 0.9987898468971252, 0.9986472725868225, 0.9985012412071228, 0.9983484148979187, 0.9982374310493469, 0.9980723261833191, 0.9978988766670227, 0.9977173209190369, 0.9975913166999817, 0.997391402721405, 0.9966816306114197, 0.9964823126792908, 0.9962180256843567, 0.9959291815757751, 0.9956285357475281, 0.9952983260154724, 0.9949893355369568, 0.9946454167366028, 0.9943541884422302, 0.994079053401947, 0.9939159750938416, 0.9936731457710266, 0.9934461712837219, 0.9932366013526917, 0.9930403828620911, 0.9928589463233948, 0.9926900267601013, 0.9925321936607361, 0.9923847317695618, 0.9922464489936829, 0.9921167492866516, 0.9919212460517883, 0.9918060898780823, 0.9916951060295105, 0.9915891289710999, 0.9914883971214294, 0.9913917183876038, 0.9912993311882019, 0.9912099242210388, 0.9911238551139832, 0.9910404086112976, 0.9909605383872986, 0.9908835291862488, 0.9908075928688049, 0.9907347559928894, 0.9906648993492126, 0.990597665309906, 0.9905313849449158, 0.9904692769050598, 0.9904115796089172, 0.9903541207313538, 0.990300714969635, 0.9902516007423401, 0.9902058243751526, 0.990162193775177, 0.9901236891746521, 0.9900876879692078, 0.9900566935539246, 0.9900286793708801, 0.9900065064430237, 0.9899892210960388, 0.9899762272834778, 0.9899678826332092, 0.9899643063545227, 0.9899638295173645, 0.9899665713310242, 0.989973247051239, 0.9899852871894836, 0.9900004267692566, 0.9899805188179016, 0.9900059103965759], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001853511086665094, -0.009129512123763561, 0.008615157566964626), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0031702916603535414, -0.0031001900788396597, 0.028336504474282265), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008971759118139744, 0.009408638812601566, -0.0020438367500901222), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0005752002471126616, -0.003748165210708976, 0.01044019591063261), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01013956218957901, -0.005081879440695047, 0.0014578192494809628), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006617883685976267, 0.006075256038457155, 0.00010121350351255387), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004758101888000965, -0.0073279873467981815, 0.009205649606883526), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0070128124207258224, -0.002198912436142564, 0.008356585167348385), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.000529321376234293, -0.00503014400601387, 0.015330150723457336), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0006486193742603064, 0.026400119066238403, 0.010982844047248363), (0.006120067089796066, 0.0022794390097260475, -0.0070453817024827)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=53, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4123235940933228, 2.5513575077056885, 23.06023406982422), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.009078050963580608, 5.007773399353027, 23.08185577392578), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4089548587799072, 7.442995548248291, 23.06983757019043), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.188886642456055, 2.605308771133423, 23.089542388916016), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8125290870666504, 5.009812831878662, 23.08091926574707), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4093070030212402, 7.349564075469971, 23.006120681762695), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.098626136779785, 2.607130527496338, 23.09130859375), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.6429762840271, 5.072866439819336, 23.023603439331055), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.2325005531311035, 7.443099498748779, 23.069744110107422), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.640408992767334, 2.5481014251708984, 24.718891143798828), (5.646333694458008, 1.6287332773208618, 25.07094383239746)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0556418895721436, energy_trajectory=[1.3610107898712158, 1.3467156887054443, 1.3372657299041748, 1.3285977840423584, 1.3202345371246338, 1.312089204788208, 1.304088830947876, 1.2962002754211426, 1.2884056568145752, 1.2806963920593262, 1.273068904876709, 1.2654995918273926, 1.2581512928009033, 1.2507789134979248, 1.243518352508545, 1.236320972442627, 1.229224681854248, 1.2222027778625488, 1.2155311107635498, 1.2087597846984863, 1.202106237411499, 1.195572853088379, 1.1893422603607178, 1.1834638118743896, 1.1779203414916992, 1.1726913452148438, 1.1677627563476562, 1.1633925437927246, 1.1590287685394287, 1.1549243927001953, 1.1510655879974365, 1.1474425792694092, 1.1440467834472656, 1.140861988067627, 1.137878656387329, 1.1349120140075684, 1.1322948932647705, 1.1298437118530273, 1.127528190612793, 1.1256732940673828, 1.1236622333526611, 1.1217741966247559, 1.1200053691864014, 1.11834716796875, 1.1167912483215332, 1.1153287887573242, 1.1139543056488037, 1.112661600112915, 1.1114435195922852, 1.1102960109710693, 1.1092123985290527, 1.1080200672149658, 1.1070539951324463, 1.106180191040039, 1.1051037311553955, 1.1042816638946533, 1.1034998893737793, 1.1027555465698242, 1.1020448207855225, 1.1013684272766113, 1.100689172744751, 1.1000711917877197, 1.0990045070648193, 1.098494052886963, 1.0979552268981934, 1.0974416732788086, 1.0969514846801758, 1.0964839458465576, 1.0960381031036377, 1.0956125259399414, 1.0952086448669434, 1.0948224067687988, 1.0944561958312988, 1.0941083431243896, 1.0937745571136475, 1.0934569835662842, 1.093031883239746, 1.0927417278289795, 1.092463493347168, 1.0921967029571533, 1.0919384956359863, 1.0916893482208252, 1.0914483070373535, 1.0912137031555176, 1.0910370349884033, 1.0908141136169434, 1.0905954837799072, 1.090378999710083, 1.0901668071746826, 1.0899546146392822, 1.0897448062896729, 1.0895349979400635, 1.0893208980560303, 1.089106798171997, 1.0888922214508057, 1.088676929473877, 1.0884606838226318, 1.0882420539855957, 1.088021993637085, 1.0878002643585205, 1.0870904922485352, 1.086665153503418, 1.0864355564117432, 1.0862023830413818, 1.0859665870666504, 1.0857264995574951, 1.0854828357696533, 1.0852370262145996, 1.0849881172180176, 1.0847370624542236, 1.084301233291626, 1.084045648574829, 1.0837864875793457, 1.0835270881652832, 1.083266258239746, 1.0830051898956299, 1.0826711654663086, 1.0824098587036133, 1.0821483135223389, 1.0818877220153809, 1.081627368927002, 1.080883502960205, 1.080622911453247, 1.080366611480713, 1.0801095962524414, 1.0798571109771729, 1.079606056213379, 1.0793571472167969, 1.0791103839874268, 1.078942060470581, 1.0787034034729004, 1.078465223312378, 1.0782313346862793, 1.0779991149902344, 1.0777690410614014, 1.0773704051971436, 1.0771458148956299, 1.0769233703613281, 1.0767033100128174, 1.0764853954315186, 1.0765042304992676, 1.0762913227081299, 1.0760633945465088, 1.0758554935455322, 1.0756502151489258, 1.0754473209381104, 1.0752453804016113, 1.0750463008880615, 1.0748496055603027, 1.0746543407440186, 1.0744593143463135, 1.0742688179016113, 1.074070930480957, 1.073882818222046, 1.0736963748931885, 1.0735116004943848, 1.0734119415283203, 1.0723061561584473, 1.072129487991333, 1.0719563961029053, 1.0717847347259521, 1.0719363689422607, 1.0717735290527344, 1.07161283493042, 1.0714542865753174, 1.0713000297546387, 1.0711479187011719, 1.0709998607635498, 1.0708537101745605, 1.0707123279571533, 1.0705723762512207, 1.0703728199005127, 1.070237636566162, 1.0701062679290771, 1.0699784755706787, 1.0698533058166504, 1.070218563079834, 1.0700981616973877, 1.0699799060821533, 1.0698647499084473, 1.0697531700134277, 1.069645643234253, 1.0694770812988281, 1.0693743228912354, 1.0692758560180664, 1.0693600177764893, 1.069267988204956, 1.0691795349121094, 1.0690937042236328, 1.0690114498138428, 1.0693225860595703, 1.069244146347046, 1.069169282913208, 1.0690960884094238, 1.0690257549285889, 1.068958044052124, 1.0688934326171875, 1.0688295364379883, 1.0686683654785156, 1.0686113834381104, 1.0685570240020752, 1.0685038566589355, 1.0673422813415527, 1.0673043727874756, 1.0663681030273438, 1.066347599029541, 1.0663256645202637, 1.0663042068481445, 1.0662295818328857, 1.0671501159667969, 1.066560983657837, 1.0665433406829834, 1.0664949417114258, 1.0664782524108887, 1.066462516784668, 1.0663444995880127, 1.0663275718688965, 1.0663120746612549, 1.0662951469421387, 1.0662791728973389, 1.0662615299224854, 1.066241979598999, 1.0657360553741455, 1.06571364402771, 1.0656919479370117, 1.065669059753418, 1.0656447410583496, 1.0656180381774902, 1.0655889511108398, 1.0656189918518066, 1.0655875205993652, 1.0655498504638672, 1.065509557723999, 1.0654642581939697, 1.06541109085083, 1.0652787685394287, 1.0652070045471191, 1.0651192665100098, 1.0650196075439453, 1.0648574829101562, 1.0643823146820068, 1.064131736755371, 1.0637621879577637, 1.063375473022461, 1.062981128692627, 1.0626068115234375, 1.0622601509094238, 1.061821460723877, 1.0615448951721191, 1.0612661838531494, 1.0610017776489258, 1.0607497692108154, 1.0607967376708984, 1.060567855834961, 1.0603435039520264, 1.0601277351379395, 1.0599172115325928, 1.0597105026245117, 1.059511423110962, 1.0593140125274658, 1.0591223239898682, 1.058934211730957, 1.058748722076416, 1.0585672855377197, 1.058387279510498, 1.0582125186920166, 1.058039665222168, 1.0578715801239014, 1.0577058792114258, 1.0575437545776367, 1.0573835372924805, 1.0572266578674316, 1.0570738315582275, 1.0569231510162354, 1.0567760467529297, 1.0565516948699951, 1.0563335418701172, 1.0561926364898682, 1.0561161041259766, 1.0559813976287842, 1.055851936340332, 1.0557258129119873, 1.0555055141448975, 1.0553834438323975, 1.0552654266357422, 1.0551517009735107, 1.0550408363342285, 1.056173324584961, 1.0570464134216309, 1.056962490081787, 1.0559957027435303, 1.0559256076812744, 1.0558626651763916, 1.0558068752288818, 1.055753231048584, 1.0557057857513428, 1.0556650161743164, 1.0556998252868652, 1.0556681156158447, 1.0556418895721436], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0012904233299195766, -0.005090185906738043, 0.00038966775173321366), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0015329313464462757, -0.0061395312659442425, 0.0006341564585454762), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0008101218845695257, -0.004176640883088112, 0.0009938759030774236), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0005784093518741429, -0.008853884413838387, 0.0021706444676965475), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001282986020669341, -0.0076435930095613, 0.0004983177641406655), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0002808439894579351, -0.004585937596857548, -0.0013033882714807987), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0033247906249016523, -0.005337296519428492, 0.003912081941962242), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0012562285410240293, -0.008698086254298687, -0.0003272111644037068), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001187978545203805, -0.0035472968593239784, 0.00024179028696380556), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0008778299088589847, -0.016924263909459114, 0.0010520132491365075), (-0.0063590663485229015, -0.014282735995948315, 0.00011242269829381257)])], system_id=&#39;e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, api_host=&#39;open-catalyst-api.metademolab.com&#39;, ui_url=&#39;https://open-catalyst.metademolab.com/results/e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;), AdsorbateSlabRelaxations(slab=Slab(other_fields={}, atoms=Atoms(other_fields={}, cell=((8.463768833067146, 0.0, 5.182563705069405e-16), (-5.182563705069404e-16, 8.463768833067144, 5.182563705069404e-16), (0.0, 0.0, 31.918871126704698)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78], positions=[(2.8212562776890486, 1.6046248175002857e-31, 16.95690028606187), (1.4106281388445243, 1.410628138844524, 18.951829731480913), (2.8212562776890486, 1.2901937750658887e-31, 12.967041395223784), (1.4106281388445243, 1.410628138844524, 14.961970840642827), (2.8212562776890486, 2.821256277689048, 16.95690028606187), (1.410628138844524, 4.231884416533572, 18.951829731480913), (2.8212562776890486, 2.821256277689048, 12.967041395223784), (1.410628138844524, 4.231884416533572, 14.961970840642827), (2.821256277689048, 5.642512555378096, 16.95690028606187), (1.4106281388445239, 7.053140694222621, 18.951829731480913), (2.821256277689048, 5.642512555378096, 12.967041395223784), (1.4106281388445239, 7.053140694222621, 14.961970840642827), (5.642512555378097, 1.6046248175002857e-31, 16.95690028606187), (4.231884416533573, 1.410628138844524, 18.951829731480913), (5.642512555378097, 1.2901937750658887e-31, 12.967041395223784), (4.231884416533573, 1.410628138844524, 14.961970840642827), (5.642512555378097, 2.821256277689048, 16.95690028606187), (4.231884416533573, 4.231884416533572, 18.951829731480913), (5.642512555378097, 2.821256277689048, 12.967041395223784), (4.231884416533573, 4.231884416533572, 14.961970840642827), (5.642512555378097, 5.642512555378096, 16.95690028606187), (4.231884416533573, 7.053140694222621, 18.951829731480913), (5.642512555378097, 5.642512555378096, 12.967041395223784), (4.231884416533573, 7.053140694222621, 14.961970840642827), (8.463768833067146, 1.6046248175002857e-31, 16.95690028606187), (7.053140694222622, 1.410628138844524, 18.951829731480913), (8.463768833067146, 1.2901937750658887e-31, 12.967041395223784), (7.053140694222622, 1.410628138844524, 14.961970840642827), (8.463768833067146, 2.821256277689048, 16.95690028606187), (7.053140694222622, 4.231884416533572, 18.951829731480913), (8.463768833067146, 2.821256277689048, 12.967041395223784), (7.053140694222622, 4.231884416533572, 14.961970840642827), (8.463768833067146, 5.642512555378096, 16.95690028606187), (7.053140694222622, 7.053140694222621, 18.951829731480913), (8.463768833067146, 5.642512555378096, 12.967041395223784), (7.053140694222622, 7.053140694222621, 14.961970840642827)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0]), metadata=SlabMetadata(other_fields={}, bulk_src_id=&#39;mp-126&#39;, millers=(1, 0, 0), shift=0.25, top=True)), configs=[AdsorbateSlabRelaxationResult(other_fields={}, config_id=0, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.784644603729248, 0.01585395820438862, 16.954504013061523), (1.3478119373321533, 1.4290025234222412, 19.093036651611328), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7925755977630615, 2.801503896713257, 16.943401336669922), (1.396631121635437, 4.246453762054443, 18.851768493652344), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.814049243927002, 5.63831901550293, 16.90528678894043), (1.389331340789795, 7.01081657409668, 18.846323013305664), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.6312055587768555, -0.006954939104616642, 16.905441284179688), (4.225893974304199, 1.4112125635147095, 18.833881378173828), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.6359405517578125, 2.8228814601898193, 16.902973175048828), (4.22465705871582, 4.234453201293945, 18.846704483032227), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.632215976715088, 5.6393351554870605, 16.902685165405273), (4.222077369689941, 7.0412468910217285, 18.84601593017578), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.471570014953613, 0.014626743271946907, 16.95806121826172), (6.9965925216674805, 1.4068657159805298, 18.85365104675293), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.481403350830078, 2.7847137451171875, 16.964763641357422), (7.025114059448242, 4.237039089202881, 18.84993553161621), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.449480056762695, 5.633782863616943, 16.90584373474121), (7.021653175354004, 7.036829948425293, 18.850372314453125), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.488736867904663, 1.2554888725280762, 21.06191062927246), (2.4198782444000244, 1.436711311340332, 21.310277938842773)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8638100028038025, energy_trajectory=[1.2700393199920654, 1.2566592693328857, 1.248255968093872, 1.2401139736175537, 1.2319438457489014, 1.223719835281372, 1.2154574394226074, 1.2074110507965088, 1.1993021965026855, 1.1912178993225098, 1.1831581592559814, 1.1750612258911133, 1.1670551300048828, 1.15922212600708, 1.151233196258545, 1.1432757377624512, 1.135301113128662, 1.1279356479644775, 1.1199851036071777, 1.112208604812622, 1.1044585704803467, 1.096750020980835, 1.0890882015228271, 1.0814545154571533, 1.073368787765503, 1.0658633708953857, 1.0585689544677734, 1.0515053272247314, 1.044590711593628, 1.0377497673034668, 1.0311660766601562, 1.0261166095733643, 1.0199267864227295, 1.013787031173706, 1.007786512374878, 1.0017764568328857, 0.9956194758415222, 0.9899025559425354, 0.9844074845314026, 0.9799639582633972, 0.9747299551963806, 0.9696076512336731, 0.9644497036933899, 0.9595630764961243, 0.9546909928321838, 0.950039803981781, 0.9455094933509827, 0.9410925507545471, 0.936700165271759, 0.9325239062309265, 0.9284685254096985, 0.9245579838752747, 0.920731246471405, 0.9170268177986145, 0.913408100605011, 0.909949004650116, 0.9066919684410095, 0.9034691452980042, 0.9003662467002869, 0.8973836302757263, 0.8945236802101135, 0.8917776942253113, 0.8891454339027405, 0.8866289258003235, 0.884227454662323, 0.8819947838783264, 0.8798580765724182, 0.8776815533638, 0.8758432269096375, 0.8739667534828186, 0.8722500205039978, 0.8706497550010681, 0.8692001700401306, 0.8678377270698547, 0.8665937781333923, 0.8655560612678528, 0.8646630644798279, 0.8639830946922302, 0.863373339176178, 0.8628810048103333, 0.862442672252655, 0.8620877861976624, 0.8620237708091736, 0.8616824746131897, 0.8613519072532654, 0.8607085347175598, 0.8604084849357605, 0.8601234555244446, 0.8598526120185852, 0.8595930933952332, 0.8594476580619812, 0.8591956496238708, 0.8589404225349426, 0.8586910367012024, 0.8584801554679871, 0.8583430647850037, 0.8585345149040222, 0.8586389422416687, 0.8588826060295105, 0.859259307384491, 0.8597568869590759, 0.8606153130531311, 0.8613086342811584, 0.8620762228965759, 0.8629135489463806, 0.8637861609458923, 0.8647031188011169, 0.865648090839386, 0.8665263056755066, 0.8675124049186707, 0.8685097098350525, 0.8695910573005676, 0.8705930113792419, 0.8715283274650574, 0.8725348114967346, 0.8735012412071228, 0.8744444251060486, 0.8756161332130432, 0.8764988780021667, 0.877157986164093, 0.8779651522636414, 0.8787106871604919, 0.879439651966095, 0.8799687027931213, 0.8807030320167542, 0.8813210129737854, 0.8817817568778992, 0.8821832537651062, 0.8825045228004456, 0.8827914595603943, 0.8830226063728333, 0.8832041621208191, 0.8818607926368713, 0.8819542527198792, 0.8820028901100159, 0.8820114731788635, 0.8824148774147034, 0.8823453783988953, 0.8822426199913025, 0.8819820284843445, 0.8818194270133972, 0.8816590905189514, 0.8814558386802673, 0.8812393546104431, 0.8810116648674011, 0.8807736039161682, 0.8805347084999084, 0.880341112613678, 0.8802033066749573, 0.8799763321876526, 0.8796607851982117, 0.8794571757316589, 0.879271924495697, 0.8791105151176453, 0.8789767622947693, 0.8788784146308899, 0.8788146376609802, 0.8787936568260193, 0.8788192868232727, 0.8788871169090271, 0.879002034664154, 0.8791163563728333, 0.8793244957923889, 0.8793832659721375, 0.879675567150116, 0.8800202012062073, 0.8804101347923279, 0.880843460559845, 0.881376326084137, 0.881902277469635, 0.8824275135993958, 0.8830289244651794, 0.8836684823036194, 0.8842310309410095, 0.8849340081214905, 0.88566654920578, 0.8864230513572693, 0.8872632384300232, 0.8881213068962097, 0.8890677094459534, 0.8899199366569519, 0.8910450339317322, 0.89180988073349, 0.8926388621330261, 0.8934339880943298, 0.894345223903656, 0.8963913321495056, 0.8971553444862366, 0.8980209231376648, 0.8987550139427185, 0.8994656205177307, 0.9001460671424866, 0.9007944464683533, 0.9014721512794495, 0.9021087288856506, 0.9026491045951843, 0.9031615853309631, 0.9035030007362366, 0.903960645198822, 0.9043594002723694, 0.9046855568885803, 0.9049591422080994, 0.9055313467979431, 0.905716598033905, 0.9058299660682678, 0.9059773087501526, 0.9055629372596741, 0.9055250287055969, 0.9054883122444153, 0.9053568243980408, 0.90623539686203, 0.9061970114707947, 0.9059121012687683, 0.9055866599082947, 0.9052245020866394, 0.9048240780830383, 0.9043893218040466, 0.9029513001441956, 0.902433454990387, 0.9018915295600891, 0.901322066783905, 0.900737464427948, 0.9001166224479675, 0.8994587063789368, 0.900654137134552, 0.8999641537666321, 0.8973236680030823, 0.8965901732444763, 0.8958372473716736, 0.895071804523468, 0.8942909836769104, 0.8935007452964783, 0.8926987051963806, 0.8918198943138123, 0.8910015225410461, 0.8901779055595398, 0.8893508315086365, 0.8885205388069153, 0.8876902461051941, 0.886861264705658, 0.8859959244728088, 0.8852687478065491, 0.8844769597053528, 0.8836658596992493, 0.8828620314598083, 0.8820664286613464, 0.8812651038169861, 0.8803539872169495, 0.8796544671058655, 0.8789334893226624, 0.8782303929328918, 0.8775486350059509, 0.8768622279167175, 0.8762202858924866, 0.8756024241447449, 0.8750062584877014, 0.874432384967804, 0.8738778233528137, 0.8733487725257874, 0.8728393912315369, 0.8723525404930115, 0.8719030022621155, 0.8715212941169739, 0.8711041808128357, 0.870707094669342, 0.8703307509422302, 0.8699724078178406, 0.8696314692497253, 0.8718181252479553, 0.8715019822120667, 0.87120121717453, 0.8708344101905823, 0.8705623745918274, 0.8702986836433411, 0.8700438141822815, 0.8698272109031677, 0.8695726990699768, 0.8693347573280334, 0.8690993189811707, 0.8688649535179138, 0.8686849474906921, 0.8684545159339905, 0.8682220578193665, 0.867968738079071, 0.867741048336029, 0.8674669861793518, 0.8672377467155457, 0.8672139048576355, 0.8669866919517517, 0.8666120171546936, 0.8663842082023621, 0.8661771416664124, 0.8659184575080872, 0.86568683385849, 0.8654579520225525, 0.8652264475822449, 0.8648139834403992, 0.8645761609077454, 0.8643457293510437, 0.8638100028038025], forces=[(0.005923556163907051, -0.0005148208001628518, -0.004688183777034283), (0.020172469317913055, 0.005457508377730846, -0.01504830364137888), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00543785747140646, 0.002586567075923085, -0.0035467061679810286), (0.0052901869639754295, 0.0017481058603152633, 0.002920427592471242), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0024861751589924097, 0.0011880178935825825, 0.0027684071101248264), (0.006278174929320812, 0.004442331846803427, 0.0018279606010764837), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004809234756976366, 0.0019746695179492235, 0.003222871571779251), (0.002259952249005437, 0.0009060275624506176, 0.0023121987469494343), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0048110708594322205, 0.00034692135523073375, 0.004071693867444992), (0.003739971434697509, 0.0007448698161169887, 0.004908016882836819), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003278867807239294, 0.0010697008110582829, 0.00352493766695261), (0.003692762926220894, 0.0030865101143717766, 0.003869585692882538), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0018172700656577945, -0.0006998978788033128, -0.0024896173272281885), (0.010334579274058342, 0.0012458926066756248, 0.0025431159883737564), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0021738396026194096, 0.0033301804214715958, -0.002384529449045658), (0.006379356607794762, 0.0003421329311095178, 0.0038605735171586275), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0037417684216052294, 0.0007222075364552438, 0.002595103345811367), (0.006492034997791052, 0.002763909287750721, 0.002870195312425494), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015086094848811626, 0.005366040859371424, -0.0031263127457350492), (-0.010786698199808598, -0.001445674104616046, -0.008985189720988274)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=1, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8208096027374268, 0.0033152897376567125, 16.90155601501465), (1.419624924659729, 1.3982149362564087, 18.85784339904785), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8463449478149414, 2.838514566421509, 16.94490623474121), (1.4431687593460083, 4.239887714385986, 18.887052536010742), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8449947834014893, 5.629123687744141, 16.94025421142578), (1.4234530925750732, 7.069711685180664, 18.856901168823242), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.645565032958984, 0.002649947302415967, 16.908954620361328), (4.23647403717041, 1.3877028226852417, 18.85658836364746), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.652092456817627, 2.8418822288513184, 16.9553165435791), (4.146683692932129, 4.2001752853393555, 19.002212524414062), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.650730609893799, 5.621910095214844, 16.961015701293945), (4.230888843536377, 7.078619480133057, 18.842538833618164), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.477094650268555, 0.006652478128671646, 16.897064208984375), (7.072125434875488, 1.397485375404358, 18.84664535522461), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.467543601989746, 2.841200113296509, 16.937273025512695), (7.2144575119018555, 4.2292094230651855, 18.973297119140625), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.469869613647461, 5.633181095123291, 16.931808471679688), (7.081004619598389, 7.0887451171875, 18.834321975708008), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.714004039764404, 4.338881492614746, 20.461933135986328), (5.757815361022949, 3.482701301574707, 20.93854522705078)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4258400797843933, energy_trajectory=[1.4157040119171143, 1.3959264755249023, 1.3810491561889648, 1.3668937683105469, 1.353935718536377, 1.3416213989257812, 1.3305025100708008, 1.3197519779205322, 1.309373140335083, 1.2993834018707275, 1.2895302772521973, 1.280121088027954, 1.2711560726165771, 1.2621920108795166, 1.2534027099609375, 1.2447645664215088, 1.2362065315246582, 1.2278375625610352, 1.219529390335083, 1.2112457752227783, 1.203246831893921, 1.195363998413086, 1.187469244003296, 1.1798253059387207, 1.1720795631408691, 1.1644048690795898, 1.1566882133483887, 1.1491410732269287, 1.1404428482055664, 1.1332495212554932, 1.1257665157318115, 1.1184594631195068, 1.1112031936645508, 1.1039996147155762, 1.0967144966125488, 1.0895419120788574, 1.0824882984161377, 1.0754847526550293, 1.068448781967163, 1.0614526271820068, 1.054584264755249, 1.0477652549743652, 1.040992259979248, 1.0342650413513184, 1.0276706218719482, 1.0210332870483398, 1.0142796039581299, 1.0077288150787354, 1.0012226104736328, 0.9947866797447205, 0.9883710741996765, 0.9819996953010559, 0.9756196141242981, 0.9693400263786316, 0.9631062150001526, 0.956915557384491, 0.950773298740387, 0.9446755051612854, 0.9386250376701355, 0.932620108127594, 0.926664412021637, 0.9207544922828674, 0.9148401618003845, 0.9088463187217712, 0.9030718207359314, 0.897344172000885, 0.891665518283844, 0.8859936594963074, 0.8804066777229309, 0.8748676180839539, 0.8693752884864807, 0.8639312386512756, 0.8585345149040222, 0.853184163570404, 0.847879946231842, 0.8426231741905212, 0.8374128937721252, 0.8322494626045227, 0.8270334601402283, 0.8219632506370544, 0.8169414401054382, 0.8119719624519348, 0.8070552945137024, 0.8021970391273499, 0.7973988652229309, 0.7926643490791321, 0.7879944443702698, 0.7833861708641052, 0.7788419127464294, 0.7743565440177917, 0.769927442073822, 0.7655521035194397, 0.761222779750824, 0.7569367289543152, 0.7526900172233582, 0.7484803795814514, 0.7443072199821472, 0.7401725649833679, 0.7360766530036926, 0.7320215106010437, 0.728009045124054, 0.7240404486656189, 0.7201194167137146, 0.7162447571754456, 0.7125013470649719, 0.7087237238883972, 0.7049936652183533, 0.7013100981712341, 0.697673499584198, 0.6940836310386658, 0.6905404925346375, 0.6870046257972717, 0.6835560202598572, 0.6801517605781555, 0.6767938733100891, 0.673480212688446, 0.6702120900154114, 0.6669886708259583, 0.6637466549873352, 0.660610020160675, 0.65751713514328, 0.6544675230979919, 0.6514241099357605, 0.6484598517417908, 0.6455374360084534, 0.6426587700843811, 0.639821469783783, 0.6370250582695007, 0.6342682242393494, 0.6313288807868958, 0.628518283367157, 0.6258140206336975, 0.6231805682182312, 0.6206150650978088, 0.6180846095085144, 0.6155864596366882, 0.6132120490074158, 0.6107810139656067, 0.6083815693855286, 0.6060135960578918, 0.6036984324455261, 0.6012285351753235, 0.59895259141922, 0.5967044234275818, 0.5944833159446716, 0.5922896265983582, 0.5901220440864563, 0.5879797339439392, 0.5858634114265442, 0.583772599697113, 0.5817061066627502, 0.5798339247703552, 0.577813446521759, 0.5758153796195984, 0.5738391280174255, 0.5718864798545837, 0.5699546933174133, 0.5679740309715271, 0.5660979151725769, 0.5642251372337341, 0.5623723864555359, 0.5605399012565613, 0.5587257742881775, 0.5569313168525696, 0.5551554560661316, 0.5533989071846008, 0.5516610741615295, 0.5499405264854431, 0.5482375025749207, 0.546551525592804, 0.5445974469184875, 0.5429447293281555, 0.5412018895149231, 0.5395810008049011, 0.5379766821861267, 0.5363900065422058, 0.5348244309425354, 0.5332669615745544, 0.531726062297821, 0.5302019715309143, 0.5286920666694641, 0.5271992087364197, 0.5257214903831482, 0.5242851376533508, 0.5228381752967834, 0.521406352519989, 0.5199874043464661, 0.5185835957527161, 0.5172032713890076, 0.5158242583274841, 0.5144597887992859, 0.5131084322929382, 0.511769711971283, 0.5104449391365051, 0.5090180039405823, 0.5077195763587952, 0.5064340233802795, 0.5051607489585876, 0.5039003491401672, 0.5026829838752747, 0.5010301470756531, 0.4998071789741516, 0.498595654964447, 0.49739736318588257, 0.4962114691734314, 0.4952870011329651, 0.4930998682975769, 0.4919530749320984, 0.49081772565841675, 0.4897831082344055, 0.4886706471443176, 0.48757022619247437, 0.4864806532859802, 0.48540323972702026, 0.4843352437019348, 0.4832788109779358, 0.482233464717865, 0.4811980128288269, 0.48017340898513794, 0.4791167378425598, 0.4781121611595154, 0.47711819410324097, 0.4761328101158142, 0.47515779733657837, 0.47419077157974243, 0.47323352098464966, 0.47228676080703735, 0.47134846448898315, 0.470419704914093, 0.4695001244544983, 0.46858900785446167, 0.46768778562545776, 0.46679478883743286, 0.4659114480018616, 0.46503716707229614, 0.4641713500022888, 0.4633154273033142, 0.46246737241744995, 0.4616289734840393, 0.46079903841018677, 0.45997828245162964, 0.4591664671897888, 0.45840317010879517, 0.4576088786125183, 0.4568236470222473, 0.4560474753379822, 0.4554275870323181, 0.4546697735786438, 0.45392078161239624, 0.45317965745925903, 0.4524468779563904, 0.4517243504524231, 0.4510090947151184, 0.45030349493026733, 0.4496055245399475, 0.44891518354415894, 0.44823402166366577, 0.4475608468055725, 0.4468889832496643, 0.4462319016456604, 0.4455823302268982, 0.44494014978408813, 0.44430655241012573, 0.4436792731285095, 0.4430883526802063, 0.44247621297836304, 0.4418712258338928, 0.4412744641304016, 0.4406837821006775, 0.4401013255119324, 0.43952518701553345, 0.4389567971229553, 0.4383949637413025, 0.4378405213356018, 0.43726450204849243, 0.43672269582748413, 0.4361885190010071, 0.4356608986854553, 0.43527525663375854, 0.43475979566574097, 0.43425172567367554, 0.43375009298324585, 0.43325549364089966, 0.43280142545700073, 0.43231815099716187, 0.43184083700180054, 0.43137162923812866, 0.4309085011482239, 0.4304514527320862, 0.4300001263618469, 0.4295564293861389, 0.4291185736656189, 0.42853397130966187, 0.4281134009361267, 0.42769962549209595, 0.4272920489311218, 0.4268917441368103, 0.4264987111091614, 0.4261135458946228, 0.4258400797843933], forces=[(0.0002998735290020704, 0.0002709719119593501, -0.002784917363896966), (0.0015418613329529762, 0.00014715488941874355, -0.001134945428930223), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004491656553000212, -0.00011259311577305198, -0.004599536769092083), (-0.01334796380251646, 0.0007258145487867296, -0.0024922383017838), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0040872590616345406, 0.0012007310288026929, -0.003229421330615878), (0.00033360716770403087, 0.0010073536541312933, -0.0008659597369842231), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0015236537437886, -0.00010209071479039267, -0.0009128004894591868), (-0.0001751709496602416, 0.0025560602080076933, -0.003914567641913891), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (4.397562224767171e-05, 0.00020192416559439152, -0.0013621370308101177), (-0.015615332871675491, 0.008823747746646404, -0.015886502340435982), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00048125957255251706, -7.74613581597805e-05, -0.0008003815310075879), (0.0005371348233893514, 0.003132748883217573, -0.0027071181684732437), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0002755637397058308, -0.0015859438572078943, 0.00040693499613553286), (0.00015987631923053414, -0.003137110499665141, 0.0007991294260136783), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0028061021585017443, -0.0015537830768153071, -0.00027939610299654305), (-0.014049217104911804, -0.006652509327977896, 0.010905842296779156), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0047167264856398106, -0.0019939870107918978, 0.002237076172605157), (-0.000949339650105685, -0.0050126020796597, 0.003010735847055912), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04512127488851547, -0.028859833255410194, -0.005923381540924311), (-0.08023697882890701, -0.043263498693704605, -0.03481847792863846)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=2, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8120949268341064, -0.013019699603319168, 16.90407371520996), (1.4064671993255615, 1.384467363357544, 18.860992431640625), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8273489475250244, 2.8248136043548584, 16.935279846191406), (1.4051295518875122, 4.207770824432373, 18.883487701416016), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8250598907470703, 5.619861602783203, 16.937671661376953), (1.4089562892913818, 7.049346923828125, 18.864572525024414), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.640723705291748, -0.01311732828617096, 16.914138793945312), (4.213581562042236, 1.368425726890564, 18.842370986938477), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.639553070068359, 2.8241043090820312, 16.95041275024414), (4.111157417297363, 4.222146034240723, 18.97098159790039), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6383891105651855, 5.617165565490723, 16.9472599029541), (4.2235894203186035, 7.0551228523254395, 18.854782104492188), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.468735694885254, -0.012875021435320377, 16.90573501586914), (7.062472343444824, 1.3692172765731812, 18.843276977539062), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.450688362121582, 2.8242838382720947, 16.93653678894043), (7.160228729248047, 4.231411457061768, 18.970548629760742), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.452381134033203, 5.619609355926514, 16.938756942749023), (7.056396007537842, 7.054751396179199, 18.858295440673828), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.636021614074707, 4.15200662612915, 20.458147048950195), (5.633293628692627, 5.031122207641602, 20.893957138061523)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4158598780632019, energy_trajectory=[0.974025309085846, 0.9560737013816833, 0.9438108801841736, 0.9312019944190979, 0.9192375540733337, 0.9075118899345398, 0.8961665034294128, 0.8850173354148865, 0.8740290999412537, 0.8634544014930725, 0.8531509041786194, 0.8430928587913513, 0.8331252932548523, 0.8235483765602112, 0.8141540884971619, 0.8047240376472473, 0.7957000136375427, 0.7868513464927673, 0.7781738638877869, 0.7696545720100403, 0.7607417702674866, 0.752070963382721, 0.7439152598381042, 0.7363410592079163, 0.7286068797111511, 0.7209002375602722, 0.7133633494377136, 0.7059500813484192, 0.6987068057060242, 0.6914835572242737, 0.6845579743385315, 0.6777787804603577, 0.6711388230323792, 0.664651095867157, 0.658298671245575, 0.6520777344703674, 0.6460828185081482, 0.6402525305747986, 0.6343074440956116, 0.628578245639801, 0.6229621767997742, 0.6174100041389465, 0.6117214560508728, 0.606438934803009, 0.6012617945671082, 0.5961888432502747, 0.5912211537361145, 0.5863541960716248, 0.5815877318382263, 0.577256977558136, 0.5727882981300354, 0.5683135390281677, 0.563931405544281, 0.5596439242362976, 0.5554489493370056, 0.5514684319496155, 0.5474544167518616, 0.5434586405754089, 0.5396247506141663, 0.5358514189720154, 0.5321908593177795, 0.5286148190498352, 0.5251228213310242, 0.5217123627662659, 0.5183843970298767, 0.5151343941688538, 0.5119655728340149, 0.50887531042099, 0.5058621764183044, 0.5029261708259583, 0.500066339969635, 0.49728065729141235, 0.4945691227912903, 0.4919319748878479, 0.4893653988838196, 0.48687177896499634, 0.4844483733177185, 0.48209553956985474, 0.47981351613998413, 0.4775511622428894, 0.4754062294960022, 0.4733327031135559, 0.4713302254676819, 0.46940046548843384, 0.4675411581993103, 0.46575361490249634, 0.4642319083213806, 0.46258097887039185, 0.46099787950515747, 0.4594796299934387, 0.4580238461494446, 0.456631600856781, 0.4550538659095764, 0.45378655195236206, 0.4525781273841858, 0.4514309763908386, 0.4503433108329773, 0.44931381940841675, 0.44834190607070923, 0.4474237561225891, 0.4465588927268982, 0.4455403685569763, 0.4447740912437439, 0.4440520405769348, 0.44321924448013306, 0.4425742030143738, 0.44196051359176636, 0.4413604140281677, 0.44079703092575073, 0.4402545094490051, 0.4397280812263489, 0.43921560049057007, 0.43871408700942993, 0.43822211027145386, 0.43773871660232544, 0.43726032972335815, 0.4367902874946594, 0.4363242983818054, 0.4356948733329773, 0.4352380633354187, 0.43478649854660034, 0.43433886766433716, 0.4338964819908142, 0.4334576725959778, 0.4330236315727234, 0.43259531259536743, 0.4322383999824524, 0.43185168504714966, 0.4313907027244568, 0.43098074197769165, 0.4305785298347473, 0.4301837086677551, 0.42979496717453003, 0.4294113516807556, 0.42903417348861694, 0.42866331338882446, 0.428297221660614, 0.427936851978302, 0.427582323551178, 0.42726022005081177, 0.42691653966903687, 0.4265771508216858, 0.4260714650154114, 0.4257400631904602, 0.42541271448135376, 0.425088107585907, 0.424766480922699, 0.4246053099632263, 0.42430776357650757, 0.4239956736564636, 0.4236857295036316, 0.4232742190361023, 0.42296725511550903, 0.4226621985435486, 0.42235809564590454, 0.42199569940567017, 0.42138463258743286, 0.42108458280563354, 0.420785129070282, 0.420488178730011, 0.42019397020339966, 0.41990095376968384, 0.4194719195365906, 0.419200599193573, 0.41891342401504517, 0.41862910985946655, 0.4183465838432312, 0.41806691884994507, 0.41779011487960815, 0.41751569509506226, 0.4172442555427551, 0.41693538427352905, 0.4166688323020935, 0.4164050221443176, 0.4162061810493469, 0.41584259271621704, 0.4155903458595276, 0.415341317653656, 0.41509443521499634, 0.41485053300857544, 0.4146086573600769, 0.41447216272354126, 0.4142358899116516, 0.41391366720199585, 0.4136868119239807, 0.4134618639945984, 0.4132387042045593, 0.4130175709724426, 0.4127987027168274, 0.41258102655410767, 0.41236621141433716, 0.4121524691581726, 0.4117334485054016, 0.4115237593650818, 0.41130536794662476, 0.41110438108444214, 0.4109073281288147, 0.4106876254081726, 0.41049832105636597, 0.41031497716903687, 0.4101371169090271, 0.4100378155708313, 0.4098777174949646, 0.4097232222557068, 0.40959495306015015, 0.40944260358810425, 0.4093068242073059, 0.4093093276023865, 0.40901464223861694, 0.4088919758796692, 0.4087827801704407, 0.40867918729782104, 0.40857917070388794, 0.408485472202301, 0.40839582681655884, 0.4083107113838196, 0.4082297682762146, 0.4081529974937439, 0.408083975315094, 0.40801864862442017, 0.4079590439796448, 0.4079055190086365, 0.40786975622177124, 0.40782636404037476, 0.4077889323234558, 0.4077576994895935, 0.40773385763168335, 0.4077131152153015, 0.40770190954208374, 0.40769726037979126, 0.40770071744918823, 0.4071916937828064, 0.4072105288505554, 0.40703850984573364, 0.40707117319107056, 0.4071353077888489, 0.40718287229537964, 0.40723711252212524, 0.4073004126548767, 0.4073721766471863, 0.4074508547782898, 0.40754085779190063, 0.40763574838638306, 0.4077398180961609, 0.40784960985183716, 0.4079659581184387, 0.40809065103530884, 0.40822261571884155, 0.40836089849472046, 0.4084152579307556, 0.4085659384727478, 0.40871983766555786, 0.40887922048568726, 0.40904301404953003, 0.4092089533805847, 0.4093779921531677, 0.4097910523414612, 0.40996450185775757, 0.41015785932540894, 0.4102422595024109, 0.4104136824607849, 0.41010862588882446, 0.4102899432182312, 0.4104720950126648, 0.410653293132782, 0.4108343720436096, 0.4110143780708313, 0.4111940264701843, 0.41137224435806274, 0.4115493893623352, 0.4117477536201477, 0.4119204878807068, 0.41209179162979126, 0.412354052066803, 0.4125208258628845, 0.4126867651939392, 0.41285020112991333, 0.4131852984428406, 0.4133489727973938, 0.41351133584976196, 0.4136722683906555, 0.4138321280479431, 0.41399091482162476, 0.4142053723335266, 0.4143611788749695, 0.41451460123062134, 0.4144582152366638, 0.4146069884300232, 0.4147542119026184, 0.41492968797683716, 0.4150732159614563, 0.4152145981788635, 0.4153534770011902, 0.4153544306755066, 0.41548651456832886, 0.41561537981033325, 0.41573983430862427, 0.4158596396446228, 0.4158678650856018, 0.4158598780632019], forces=[(-0.00013302330626174808, 0.00398521963506937, -0.003930509556084871), (-0.0004240581183694303, 1.4120483683655038e-05, -0.0030575988348573446), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0006652064621448517, 0.002195518696680665, 0.0007068111444823444), (0.0026128299068659544, 0.008077109232544899, 0.0011839153012260795), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003044521901756525, -0.0005068441387265921, 0.0009006736800074577), (-0.00032612888026051223, 0.005035154055804014, -0.005835358984768391), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0006973027484491467, 0.004074004013091326, -0.005383135285228491), (0.0007675219676457345, 0.0042319530621171, -0.0017827998381108046), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.000321524974424392, 0.008483629673719406, 0.007031999062746763), (-0.007946386002004147, 0.006386053282767534, 0.00991095695644617), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0002590190269984305, -0.0022774774115532637, 0.004454253241419792), (-0.0015527347568422556, 0.005342293530702591, -0.006593655329197645), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0002557217958383262, 0.00411184411495924, -0.005098612513393164), (-0.0014659827575087547, 0.0023577583488076925, -0.0028538124170154333), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0006034914986230433, 0.003006248502060771, 0.0005797109915874898), (0.012185744941234589, 0.0029437635093927383, 0.008086997084319592), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0008690000977367163, -0.00032917229691520333, -0.0006057707942090929), (0.001893640379421413, 0.00598841393366456, -0.00901841651648283), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0022114235907793045, 0.014249404892325401, -0.0036725851241499186), (0.004304520785808563, 0.03328120708465576, -0.02813894860446453)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=3, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8409459590911865, 0.007806401699781418, 16.95642852783203), (1.3834117650985718, 1.4388059377670288, 18.83723258972168), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.832946300506592, 2.819889545440674, 16.931509017944336), (1.3935250043869019, 4.24556303024292, 18.852699279785156), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8310651779174805, 5.655862331390381, 16.92992401123047), (1.3818546533584595, 7.054419040679932, 18.83443260192871), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.621585845947266, 0.008817804977297783, 16.951683044433594), (4.238090515136719, 1.542514443397522, 18.97442054748535), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.62803840637207, 2.820902109146118, 16.930435180664062), (4.225475788116455, 4.2322869300842285, 18.87671661376953), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.629326343536377, 5.6553192138671875, 16.929336547851562), (4.249390602111816, 6.9202165603637695, 18.961091995239258), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.46143627166748, 0.007474245969206095, 16.907203674316406), (7.071386814117432, 1.4317364692687988, 18.844030380249023), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.461356163024902, 2.834460973739624, 16.895963668823242), (7.067915916442871, 4.241921424865723, 18.85126304626465), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.461958885192871, 5.641720294952393, 16.89528465270996), (7.074244499206543, 7.055065155029297, 18.84449577331543), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.201851844787598, -0.014033435843884945, 20.428937911987305), (5.104383945465088, -0.029208676889538765, 20.8151912689209)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4116225838661194, energy_trajectory=[1.0250027179718018, 1.012186050415039, 1.0029854774475098, 0.9939834475517273, 0.9851667284965515, 0.9765205979347229, 0.9680243134498596, 0.9593701958656311, 0.9513766169548035, 0.9438350796699524, 0.9364292025566101, 0.9292613863945007, 0.9221763014793396, 0.915553867816925, 0.9091817736625671, 0.9031855463981628, 0.8969373106956482, 0.8913206458091736, 0.8857489228248596, 0.880337655544281, 0.8750689625740051, 0.8698537945747375, 0.8650681376457214, 0.8600861430168152, 0.8552675843238831, 0.8505801558494568, 0.8457896113395691, 0.8411574959754944, 0.8367195725440979, 0.8323580622673035, 0.8282042145729065, 0.8239805102348328, 0.8198168873786926, 0.8157141804695129, 0.8116728663444519, 0.807678759098053, 0.8037329316139221, 0.7998351454734802, 0.7959786057472229, 0.7921621203422546, 0.7883839011192322, 0.7846447825431824, 0.7809392809867859, 0.7773312926292419, 0.7736915946006775, 0.7700827717781067, 0.7665008902549744, 0.7629445195198059, 0.7594185471534729, 0.7557149529457092, 0.7522857785224915, 0.7488260865211487, 0.7453916668891907, 0.742060124874115, 0.7388702034950256, 0.7355065941810608, 0.7318481802940369, 0.7285308241844177, 0.725360095500946, 0.7221099734306335, 0.7188828587532043, 0.7156791090965271, 0.7124975323677063, 0.7093388438224792, 0.7062035202980042, 0.7030866742134094, 0.6999925971031189, 0.6969203352928162, 0.6938614249229431, 0.6908294558525085, 0.6878167986869812, 0.6848242878913879, 0.681852400302887, 0.6788994669914246, 0.6759660840034485, 0.6730527281761169, 0.670157253742218, 0.6672800183296204, 0.6642783284187317, 0.6614405512809753, 0.6586199402809143, 0.6558172106742859, 0.653034508228302, 0.6502713561058044, 0.6475276350975037, 0.6448035836219788, 0.6421017050743103, 0.6394192576408386, 0.6367568373680115, 0.6341142058372498, 0.6314894556999207, 0.6288847327232361, 0.6262961030006409, 0.6237044930458069, 0.6212406754493713, 0.6186957955360413, 0.6166858077049255, 0.6141671538352966, 0.6116618514060974, 0.6091699004173279, 0.6066926121711731, 0.604228675365448, 0.6017757058143616, 0.5993339419364929, 0.5969061255455017, 0.5944929718971252, 0.5920358300209045, 0.5896535515785217, 0.5872843861579895, 0.5849317908287048, 0.582594096660614, 0.5802862048149109, 0.5779792666435242, 0.5755673050880432, 0.5732967257499695, 0.5710436701774597, 0.5688092112541199, 0.5665941834449768, 0.5643981099128723, 0.5622202754020691, 0.5600616335868835, 0.5579214692115784, 0.555798351764679, 0.5536934733390808, 0.5516412854194641, 0.5495709776878357, 0.5475174784660339, 0.5454795956611633, 0.5434601902961731, 0.5414556860923767, 0.5394672751426697, 0.537494957447052, 0.5355387330055237, 0.5335976481437683, 0.5316738486289978, 0.5297670960426331, 0.5278779864311218, 0.5258073210716248, 0.5239549279212952, 0.5221218466758728, 0.5203078389167786, 0.5185120701789856, 0.5168651938438416, 0.5151095986366272, 0.5133740305900574, 0.5116583704948425, 0.509962260723114, 0.5082880854606628, 0.5065293908119202, 0.5049238801002502, 0.5033026337623596, 0.5016996264457703, 0.500113308429718, 0.49854499101638794, 0.4969850182533264, 0.4954443573951721, 0.4939160943031311, 0.4924015402793884, 0.4908955693244934, 0.48940080404281616, 0.4879152178764343, 0.486439049243927, 0.48497194051742554, 0.4835107922554016, 0.48205751180648804, 0.48061078786849976, 0.4791714549064636, 0.4777377247810364, 0.4763118624687195, 0.47489291429519653, 0.4734814763069153, 0.47207754850387573, 0.47080665826797485, 0.4694201350212097, 0.4680413603782654, 0.46667319536209106, 0.46531277894973755, 0.4639645218849182, 0.46262651681900024, 0.4613472819328308, 0.4600406289100647, 0.45872849225997925, 0.4574781060218811, 0.45653706789016724, 0.45514827966690063, 0.453978955745697, 0.4528340697288513, 0.4517133831977844, 0.450617253780365, 0.44954270124435425, 0.4484899640083313, 0.44765704870224, 0.4466453194618225, 0.4456518292427063, 0.4446790814399719, 0.4437231421470642, 0.44278424978256226, 0.4418615698814392, 0.44091159105300903, 0.44002097845077515, 0.4391462206840515, 0.43831688165664673, 0.437572181224823, 0.4367406964302063, 0.43592339754104614, 0.4351192116737366, 0.4343293309211731, 0.4335535168647766, 0.43279021978378296, 0.43221229314804077, 0.43147140741348267, 0.43074268102645874, 0.4300268292427063, 0.42932313680648804, 0.42863208055496216, 0.42800015211105347, 0.4273328185081482, 0.426677405834198, 0.42611485719680786, 0.4254809021949768, 0.4249337315559387, 0.42431873083114624, 0.4237160086631775, 0.423123300075531, 0.42254024744033813, 0.421966016292572, 0.42163580656051636, 0.4210873246192932, 0.42054814100265503, 0.42001694440841675, 0.41930872201919556, 0.41889339685440063, 0.4183902144432068, 0.41801542043685913, 0.41752809286117554, 0.4169885516166687, 0.41652029752731323, 0.4160611033439636, 0.4156114459037781, 0.4151710867881775, 0.4147433638572693, 0.4143221974372864, 0.4139097332954407, 0.41350609064102173, 0.4133719801902771, 0.4129886031150818, 0.41261452436447144, 0.4123536944389343, 0.4119991660118103, 0.41148215532302856, 0.4111477732658386, 0.41082435846328735, 0.41051238775253296, 0.41021305322647095, 0.40992623567581177, 0.4096522927284241, 0.40938037633895874, 0.4092567563056946, 0.4090256094932556, 0.4088103175163269, 0.4084790349006653, 0.4082069993019104, 0.40804392099380493, 0.40801042318344116, 0.4078816771507263, 0.4079132676124573, 0.4076823592185974, 0.40760892629623413, 0.40770381689071655, 0.4076247811317444, 0.4075501561164856, 0.4075530171394348, 0.40757423639297485, 0.4076123833656311, 0.4076690077781677, 0.40774255990982056, 0.40783101320266724, 0.40789467096328735, 0.4080119729042053, 0.4081403613090515, 0.4081493020057678, 0.40830379724502563, 0.40846842527389526, 0.40837329626083374, 0.40855687856674194, 0.4087476134300232, 0.40894395112991333, 0.40906697511672974, 0.40927380323410034, 0.4094846844673157, 0.4096985459327698, 0.41011470556259155, 0.4103335738182068, 0.4105531573295593, 0.41097110509872437, 0.4111711382865906, 0.4112216830253601, 0.4113311171531677, 0.41142112016677856, 0.4116225838661194], forces=[(-0.002164674224331975, -0.007208201568573713, 0.00020104653958696872), (0.00035768988891504705, -0.008839273825287819, 0.0037694168277084827), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0008255772991105914, -0.009447393007576466, 0.004680751822888851), (0.001182595849968493, -0.006061289459466934, 0.003202901454642415), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0045573655515909195, -0.0035078979562968016, 0.007007943466305733), (0.0007370334933511913, -0.007479027844965458, 0.003916593734174967), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-2.590033909655176e-05, -0.007334111724048853, -0.000547250616364181), (0.001126613817177713, -0.006540192291140556, 0.0058017512783408165), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0004929543356411159, -0.008335571736097336, 0.0035261758603155613), (0.0004107234126422554, 0.0028054460417479277, 0.002220302587375045), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0032081531826406717, -0.004285536706447601, 0.0035061356611549854), (-0.008545794524252415, 0.01603364571928978, 0.016571635380387306), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0009520893217995763, -0.004125230945646763, 0.0009681974188424647), (-0.00015232684381771833, -0.008257275447249413, 0.0028429084923118353), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0005742646753787994, -0.003464340465143323, 0.00237387977540493), (-0.0027855155058205128, -0.004609947092831135, 0.0037704468704760075), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0008427454740740359, -0.002622220665216446, 0.003011151449754834), (-0.004206551238894463, -0.00696370005607605, 0.001105348696000874), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012365894392132759, 0.0065665822476148605, 0.01785912923514843), (0.011690134182572365, 0.03220631182193756, 0.023005452007055283)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=4, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.817997694015503, -0.0040313471108675, 16.922224044799805), (1.353698968887329, 1.3846123218536377, 18.873327255249023), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.841855049133301, 2.771416664123535, 16.960363388061523), (1.399291753768921, 4.230617523193359, 18.838153839111328), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8070783615112305, 5.608706474304199, 16.88105583190918), (1.3933861255645752, 7.0176777839660645, 18.825302124023438), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.621747016906738, 0.016346510499715805, 16.957788467407227), (4.0324625968933105, 1.4269078969955444, 19.02794647216797), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.632384777069092, 2.7834951877593994, 16.95966148376465), (4.225474834442139, 4.236487865447998, 18.842527389526367), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.640311241149902, 5.623326301574707, 16.89190101623535), (4.19938850402832, 6.993443489074707, 18.801433563232422), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.441221237182617, 0.0011785280657932162, 16.917903900146484), (7.08062219619751, 1.3851794004440308, 18.98472023010254), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.445775985717773, 2.7900736331939697, 16.93354034423828), (7.057900905609131, 4.235611915588379, 18.834482192993164), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.462961196899414, 5.6261420249938965, 16.884578704833984), (7.049704074859619, 7.011697769165039, 18.81972885131836), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.357604503631592, 1.1790128946304321, 20.584087371826172), (5.281094074249268, 0.20596881210803986, 20.737916946411133)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5740272402763367, energy_trajectory=[1.3076214790344238, 1.2942464351654053, 1.2824928760528564, 1.2713987827301025, 1.260730504989624, 1.2503290176391602, 1.2401401996612549, 1.230173110961914, 1.2205791473388672, 1.2119054794311523, 1.2032091617584229, 1.1949524879455566, 1.1869220733642578, 1.179081678390503, 1.1713721752166748, 1.1641290187835693, 1.157184362411499, 1.150172472000122, 1.1434404850006104, 1.1370913982391357, 1.1306796073913574, 1.1242156028747559, 1.118091344833374, 1.1121139526367188, 1.1061837673187256, 1.1004421710968018, 1.0948143005371094, 1.0892987251281738, 1.0837650299072266, 1.078521728515625, 1.0734062194824219, 1.0682692527770996, 1.0632579326629639, 1.0583348274230957, 1.053497076034546, 1.0487396717071533, 1.0440592765808105, 1.0394556522369385, 1.0349385738372803, 1.0304875373840332, 1.0261046886444092, 1.0214636325836182, 1.0171000957489014, 1.0130572319030762, 1.0091216564178467, 1.0052917003631592, 1.0015652179718018, 0.9974434971809387, 0.9941089749336243, 0.9905291199684143, 0.9871099591255188, 0.9838340878486633, 0.9815889000892639, 0.9784528613090515, 0.9753883481025696, 0.9723917841911316, 0.9694599509239197, 0.9665883183479309, 0.9637753367424011, 0.9609845280647278, 0.9582808613777161, 0.9556283354759216, 0.9530228972434998, 0.9504619240760803, 0.9479451775550842, 0.9454699158668518, 0.9430336356163025, 0.940329372882843, 0.9379631876945496, 0.93563312292099, 0.9333304762840271, 0.9310612082481384, 0.928822934627533, 0.9263713955879211, 0.9241860508918762, 0.9220255017280579, 0.9198902249336243, 0.9178759455680847, 0.9157895445823669, 0.9137257933616638, 0.9116837382316589, 0.9096621870994568, 0.9079040884971619, 0.9059273600578308, 0.903968870639801, 0.902028501033783, 0.9001051783561707, 0.8982304930686951, 0.896341860294342, 0.8944717049598694, 0.8926164507865906, 0.8907793164253235, 0.8889582753181458, 0.8871532082557678, 0.8853644728660583, 0.8835921883583069, 0.881834089756012, 0.8800929188728333, 0.8783677220344543, 0.8766570687294006, 0.8749608397483826, 0.8732791543006897, 0.8716123700141907, 0.8699607253074646, 0.8683237433433533, 0.8666996359825134, 0.865090548992157, 0.8634935021400452, 0.8619088530540466, 0.8603361248970032, 0.858751118183136, 0.8574852347373962, 0.8560592532157898, 0.8545321822166443, 0.8530165553092957, 0.8515101075172424, 0.8500146269798279, 0.8485298752784729, 0.847054660320282, 0.8455894589424133, 0.8441339135169983, 0.8427271246910095, 0.8412905335426331, 0.8398638367652893, 0.8384464383125305, 0.8370369076728821, 0.8356384634971619, 0.8342477679252625, 0.8328664898872375, 0.8314090371131897, 0.8300459980964661, 0.8286914229393005, 0.8273459076881409, 0.8260080218315125, 0.824680507183075, 0.8233605027198792, 0.8220484852790833, 0.8207452893257141, 0.8194504380226135, 0.8181628584861755, 0.8163829445838928, 0.8151101469993591, 0.8138429522514343, 0.8125839829444885, 0.8113285899162292, 0.8100808262825012, 0.8088375926017761, 0.807600200176239, 0.806366503238678, 0.8052181601524353, 0.8039926886558533, 0.8027697205543518, 0.8015504479408264, 0.8003326058387756, 0.7991181015968323, 0.7979046702384949, 0.7966919541358948, 0.795471727848053, 0.7942637801170349, 0.7930553555488586, 0.791845977306366, 0.7906351685523987, 0.7894230484962463, 0.7882081866264343, 0.7869909405708313, 0.7857654690742493, 0.7845844626426697, 0.7833581566810608, 0.7821270823478699, 0.7808937430381775, 0.7797554135322571, 0.7785101532936096, 0.7772607207298279, 0.7760061621665955, 0.7747462391853333, 0.7734801173210144, 0.7722081542015076, 0.7709299921989441, 0.7696459889411926, 0.7683554291725159, 0.7670583128929138, 0.7657551169395447, 0.764445960521698, 0.7631300091743469, 0.7618077397346497, 0.7604790329933167, 0.7591442465782166, 0.7578029036521912, 0.7564557194709778, 0.7551016211509705, 0.7537420392036438, 0.7523756623268127, 0.7510038018226624, 0.7496252655982971, 0.7482404112815857, 0.7468480467796326, 0.7454512715339661, 0.7438930869102478, 0.7424803376197815, 0.741061270236969, 0.7396355271339417, 0.738204300403595, 0.7367658019065857, 0.7344408631324768, 0.7329891324043274, 0.7315313220024109, 0.7300654053688049, 0.7285932898521423, 0.7277643084526062, 0.7262749075889587, 0.7247071862220764, 0.7232072949409485, 0.7217002511024475, 0.7201878428459167, 0.7186688780784607, 0.7171439528465271, 0.7156131863594055, 0.7140758633613586, 0.712532103061676, 0.7109825015068054, 0.7093454003334045, 0.7077793478965759, 0.7062063813209534, 0.7046281695365906, 0.7030443549156189, 0.7014531493186951, 0.6998561024665833, 0.6982529759407043, 0.696643054485321, 0.6950281262397766, 0.6934055685997009, 0.6917778849601746, 0.6901434063911438, 0.6885040402412415, 0.6868587136268616, 0.6852090954780579, 0.6835547089576721, 0.6818951964378357, 0.6802330613136292, 0.6785654425621033, 0.6768948435783386, 0.6751757264137268, 0.673496663570404, 0.6718150973320007, 0.6701295971870422, 0.6684417128562927, 0.6667496562004089, 0.6650550961494446, 0.6633570790290833, 0.6616553664207458, 0.659950315952301, 0.6582407355308533, 0.6565267443656921, 0.6548102498054504, 0.6530885100364685, 0.651362955570221, 0.6496331095695496, 0.6478992104530334, 0.6460668444633484, 0.644324004650116, 0.6425771117210388, 0.6408255696296692, 0.6390693783760071, 0.6373319029808044, 0.6354274153709412, 0.6336579918861389, 0.6318832039833069, 0.630105197429657, 0.6283213496208191, 0.6265329718589783, 0.6247405409812927, 0.621325671672821, 0.6195541024208069, 0.6177589297294617, 0.6159593462944031, 0.6141547560691833, 0.6123442053794861, 0.6111393570899963, 0.6093193888664246, 0.6073737740516663, 0.6055422425270081, 0.6037076115608215, 0.6048418879508972, 0.6030027270317078, 0.6011567711830139, 0.5993072390556335, 0.5972937941551208, 0.5954373478889465, 0.5935798287391663, 0.5917206406593323, 0.589859664440155, 0.5889526009559631, 0.5870872139930725, 0.5852205157279968, 0.583354651927948, 0.5814880728721619, 0.5796228051185608, 0.5777563452720642, 0.5758911967277527, 0.5740272402763367], forces=[(-0.03577476739883423, 0.01284852996468544, 0.012716785073280334), (-0.05542204529047012, 0.009252716787159443, 0.052971597760915756), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.08633650094270706, 0.06122513860464096, -0.06254185736179352), (-0.004451257176697254, -0.009446398355066776, 0.05503738299012184), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005911382846534252, 0.04527895152568817, 0.044423993676900864), (-4.2047926399391145e-05, 0.009582217782735825, 0.0689481720328331), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005361462011933327, -0.004492141306400299, -0.010861925780773163), (-0.012773384340107441, 0.02358904667198658, -0.1582973450422287), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013257190585136414, 0.022500645369291306, -0.0001316317357122898), (-0.023764804005622864, 0.016690632328391075, 0.034306928515434265), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011452589184045792, 0.020345298573374748, 0.04246233031153679), (0.0027081500738859177, 0.06966805458068848, 0.11365120857954025), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03388373553752899, 0.005687167402356863, 0.04930521175265312), (-0.09205594658851624, -0.04020191356539726, 0.16896533966064453), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.061539892107248306, -0.019202815368771553, 0.06331973522901535), (-0.022049808874726295, -0.012025991454720497, 0.06140673905611038), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007165207527577877, -7.840822945581749e-05, 0.034733306616544724), (-0.015767375007271767, 0.006679042242467403, 0.07031134516000748), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.3352586030960083, 0.024963293224573135, -0.31001758575439453), (0.24370037019252777, 0.14925456047058105, 0.07520539313554764)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=5, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8051042556762695, -0.0035179941914975643, 16.93640899658203), (1.3032197952270508, 1.4568880796432495, 18.81378936767578), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.803196907043457, 2.8247148990631104, 16.91661262512207), (1.3806443214416504, 4.224496364593506, 18.864721298217773), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.798997640609741, 5.634286403656006, 16.915842056274414), (1.2807034254074097, 6.983482360839844, 18.797557830810547), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.611734867095947, 0.0009930122178047895, 16.946517944335938), (4.185971736907959, 1.4725675582885742, 18.95499038696289), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.591222286224365, 2.8024494647979736, 16.981473922729492), (4.193968296051025, 4.231596946716309, 18.900190353393555), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.580230236053467, 5.670497417449951, 16.990114212036133), (4.187221050262451, 6.984682559967041, 18.968191146850586), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.427118301391602, -0.0013109741266816854, 16.90236473083496), (7.031991958618164, 1.404109239578247, 18.88102149963379), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.421578407287598, 2.8301403522491455, 16.89989471435547), (7.045224189758301, 4.227578163146973, 18.880807876586914), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.407693862915039, 5.618571758270264, 16.8904972076416), (7.025047302246094, 7.055603981018066, 18.88098907470703), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (3.4482712745666504, -0.06526684015989304, 20.38460922241211), (2.440088987350464, -0.15325607359409332, 20.310359954833984)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8504460453987122, energy_trajectory=[2.815304756164551, 2.781947135925293, 2.7555766105651855, 2.731398582458496, 2.7084102630615234, 2.6866347789764404, 2.665038824081421, 2.6442394256591797, 2.6238114833831787, 2.603708505630493, 2.5835018157958984, 2.563987970352173, 2.544649124145508, 2.5256688594818115, 2.5069453716278076, 2.4884228706359863, 2.469736337661743, 2.451739549636841, 2.4339773654937744, 2.416630983352661, 2.4000041484832764, 2.3839244842529297, 2.3684935569763184, 2.3537166118621826, 2.339458703994751, 2.3255910873413086, 2.312154531478882, 2.299274444580078, 2.286825656890869, 2.2747929096221924, 2.2631494998931885, 2.251882553100586, 2.2411231994628906, 2.230689287185669, 2.220561981201172, 2.21063232421875, 2.2010116577148438, 2.191490888595581, 2.182420253753662, 2.1735806465148926, 2.1649513244628906, 2.156580924987793, 2.1482861042022705, 2.1403768062591553, 2.1326611042022705, 2.1251327991485596, 2.11771297454834, 2.110527515411377, 2.103574275970459, 2.096748113632202, 2.090010404586792, 2.083496332168579, 2.07702374458313, 2.0705583095550537, 2.064310312271118, 2.0581674575805664, 2.0521209239959717, 2.0461628437042236, 2.040286064147949, 2.0345566272735596, 2.028825283050537, 2.0232274532318115, 2.0176234245300293, 2.012071132659912, 2.006566047668457, 2.0011043548583984, 1.9956796169281006, 1.9902923107147217, 1.984931468963623, 1.979600191116333, 1.9742908477783203, 1.9689157009124756, 1.9636459350585938, 1.9584531784057617, 1.953214168548584, 1.9480628967285156, 1.942845344543457, 1.9376330375671387, 1.9324216842651367, 1.9272127151489258, 1.9220058917999268, 1.9167966842651367, 1.9115829467773438, 1.906362533569336, 1.9012727737426758, 1.8960442543029785, 1.8908076286315918, 1.885563850402832, 1.8803126811981201, 1.875051498413086, 1.8697822093963623, 1.864501714706421, 1.8592095375061035, 1.8539068698883057, 1.8485944271087646, 1.8437814712524414, 1.8384485244750977, 1.8331031799316406, 1.827747106552124, 1.8223793506622314, 1.8170020580291748, 1.8116161823272705, 1.8062210083007812, 1.8008203506469727, 1.7954111099243164, 1.7899959087371826, 1.784430980682373, 1.779003381729126, 1.7735657691955566, 1.7681307792663574, 1.7626893520355225, 1.7572433948516846, 1.7517046928405762, 1.7462482452392578, 1.7407863140106201, 1.735321283340454, 1.7298524379730225, 1.7243783473968506, 1.7188987731933594, 1.7130568027496338, 1.7075715065002441, 1.7017300128936768, 1.6962263584136963, 1.6907169818878174, 1.6851553916931152, 1.6796314716339111, 1.6741037368774414, 1.6683075428009033, 1.6627776622772217, 1.6572279930114746, 1.6516647338867188, 1.6458725929260254, 1.6402912139892578, 1.6347005367279053, 1.6291005611419678, 1.6234922409057617, 1.6178765296936035, 1.6121642589569092, 1.6065304279327393, 1.6008903980255127, 1.5952441692352295, 1.5895943641662598, 1.583942174911499, 1.5782825946807861, 1.5726284980773926, 1.5667049884796143, 1.561056137084961, 1.555403709411621, 1.5497534275054932, 1.5441069602966309, 1.5384652614593506, 1.5328283309936523, 1.52720046043396, 1.521608591079712, 1.5159986019134521, 1.510396957397461, 1.5048108100891113, 1.499237298965454, 1.4936792850494385, 1.4881389141082764, 1.4826164245605469, 1.47711181640625, 1.471625804901123, 1.4661569595336914, 1.4607088565826416, 1.455277442932129, 1.4498703479766846, 1.4443669319152832, 1.4389958381652832, 1.4336435794830322, 1.4286823272705078, 1.4233672618865967, 1.4180707931518555, 1.4127888679504395, 1.4072463512420654, 1.4019925594329834, 1.3967573642730713, 1.3915340900421143, 1.386324405670166, 1.381126880645752, 1.3759398460388184, 1.3707633018493652, 1.3655965328216553, 1.3604402542114258, 1.3552920818328857, 1.3501510620117188, 1.3450193405151367, 1.3398957252502441, 1.33477783203125, 1.3296701908111572, 1.3245701789855957, 1.3194773197174072, 1.314391851425171, 1.309316635131836, 1.304245948791504, 1.2990496158599854, 1.2939863204956055, 1.2889482975006104, 1.2839179039001465, 1.2788965702056885, 1.27388334274292, 1.2688798904418945, 1.2638835906982422, 1.2588963508605957, 1.2539176940917969, 1.2488865852355957, 1.2439219951629639, 1.2389652729034424, 1.2340173721313477, 1.2290780544281006, 1.2241451740264893, 1.2192223072052002, 1.214303970336914, 1.2093961238861084, 1.2044520378112793, 1.1995556354522705, 1.1946649551391602, 1.1899118423461914, 1.185044765472412, 1.1801745891571045, 1.1753122806549072, 1.1704902648925781, 1.1656577587127686, 1.1608431339263916, 1.156043529510498, 1.1512603759765625, 1.1464626789093018, 1.1417124271392822, 1.1369786262512207, 1.1322617530822754, 1.1277048587799072, 1.1230223178863525, 1.1183598041534424, 1.1140081882476807, 1.1090497970581055, 1.1044416427612305, 1.099855661392212, 1.0952911376953125, 1.0907459259033203, 1.086221694946289, 1.0817739963531494, 1.077294111251831, 1.0728347301483154, 1.0683975219726562, 1.063981533050537, 1.0595877170562744, 1.0552175045013428, 1.0506174564361572, 1.0462896823883057, 1.0419840812683105, 1.0376977920532227, 1.0334346294403076, 1.0291926860809326, 1.0249707698822021, 1.0207700729370117, 1.016775131225586, 1.012618064880371, 1.0084803104400635, 1.0043625831604004, 1.000265121459961, 0.9960668683052063, 0.9919531941413879, 0.9879165291786194, 0.983897864818573, 0.979895293712616, 0.9759119153022766, 0.9719471335411072, 0.9679984450340271, 0.9640697836875916, 0.9601565003395081, 0.9562612175941467, 0.9523836970329285, 0.94852215051651, 0.9449183344841003, 0.9410912394523621, 0.9372790455818176, 0.9334810376167297, 0.929487407207489, 0.925719678401947, 0.9219703078269958, 0.9182375073432922, 0.9145202040672302, 0.9108203053474426, 0.9071343541145325, 0.9034672379493713, 0.8998144268989563, 0.8961780667304993, 0.8925586342811584, 0.8889569640159607, 0.8853701949119568, 0.881801426410675, 0.8782479166984558, 0.874710738658905, 0.8711900115013123, 0.8676881194114685, 0.8642038702964783, 0.8607370257377625, 0.8572879433631897, 0.8538580536842346, 0.8504460453987122], forces=[(-0.008375035598874092, -0.00766090489923954, 0.03577893227338791), (-0.015473701991140842, -0.0459965281188488, -0.016287874430418015), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.022160101681947708, -0.018600579351186752, -0.007806582376360893), (-0.05287009850144386, -0.0011337522882968187, -0.04651002958416939), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02255718968808651, 0.005682012531906366, -0.01177536603063345), (0.05271007493138313, 0.08315231651067734, 0.04343400523066521), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04461739584803581, -0.0018913422245532274, 0.02242184244096279), (-0.10826633125543594, -0.02495681308209896, 0.12218325585126877), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.051459431648254395, -0.01972021535038948, 0.009915518574416637), (-0.043214160948991776, -0.021599793806672096, -0.00377287226729095), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.022663645446300507, -0.016571952030062675, -0.02336493693292141), (-0.013155397959053516, -0.09263508021831512, 0.03612382337450981), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.017712151631712914, -0.0033124960027635098, -0.01798848807811737), (-0.0300416462123394, -0.0011408529244363308, -0.02945714071393013), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.051517195999622345, 0.01603880152106285, -0.06376722455024719), (-0.019220465794205666, -0.005552881397306919, -0.026262661442160606), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.025328489020466805, 8.891256584320217e-06, -0.0415642186999321), (-0.017553409561514854, -0.007703795563429594, -0.029271356761455536), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.5455066561698914, -0.02032209187746048, 0.06467241793870926), (0.6645448207855225, 0.23729915916919708, -0.009187931194901466)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=6, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8497183322906494, 0.012289118021726608, 16.95484161376953), (1.3883278369903564, 1.4386732578277588, 18.816539764404297), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8406198024749756, 2.8244664669036865, 16.923879623413086), (1.3911243677139282, 4.247402667999268, 18.82383155822754), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8392858505249023, 5.666262626647949, 16.926984786987305), (1.3855440616607666, 7.05933141708374, 18.822237014770508), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.610836029052734, 0.012061852030456066, 16.961414337158203), (4.204820156097412, 1.5788369178771973, 19.003742218017578), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.623624801635742, 2.819082736968994, 16.925905227661133), (4.239373683929443, 4.252191543579102, 18.8641300201416), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.627392292022705, 5.662039756774902, 16.920696258544922), (4.220767021179199, 6.926089763641357, 18.97602081298828), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.46531867980957, 0.00605023093521595, 16.888572692871094), (7.084720134735107, 1.438761830329895, 18.806480407714844), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.466041564941406, 2.8351399898529053, 16.87355613708496), (7.0738911628723145, 4.241630554199219, 18.823143005371094), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.466541290283203, 5.642252445220947, 16.875558853149414), (7.083186626434326, 7.046802043914795, 18.80746841430664), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.274011135101318, -0.009917204268276691, 20.437728881835938), (3.3833541870117188, -0.14001242816448212, 20.836400985717773)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4388027787208557, energy_trajectory=[1.0668973922729492, 1.0473971366882324, 1.033005952835083, 1.019202709197998, 1.0060856342315674, 0.9938549399375916, 0.9820594191551208, 0.9706756472587585, 0.9596825242042542, 0.9491930603981018, 0.9390787482261658, 0.9293482899665833, 0.919995129108429, 0.9109228253364563, 0.9021063446998596, 0.8934655785560608, 0.8850347399711609, 0.8769559264183044, 0.868845522403717, 0.8610023856163025, 0.8533197045326233, 0.845794141292572, 0.8384266495704651, 0.8311933875083923, 0.8241278529167175, 0.8171915411949158, 0.810429036617279, 0.803737223148346, 0.7969908118247986, 0.7905157208442688, 0.7842329144477844, 0.7780324816703796, 0.7719427943229675, 0.7659698128700256, 0.7601048350334167, 0.7543475031852722, 0.7487364411354065, 0.7432250380516052, 0.7377715706825256, 0.7324373126029968, 0.7271705269813538, 0.7219966053962708, 0.7169061303138733, 0.7119048237800598, 0.7069882750511169, 0.7021510004997253, 0.6972842812538147, 0.6923570036888123, 0.6876530051231384, 0.6831163763999939, 0.6786546111106873, 0.6742613911628723, 0.6699375510215759, 0.6657807230949402, 0.6615889668464661, 0.6575530171394348, 0.6534809470176697, 0.6494815945625305, 0.6455281376838684, 0.641596257686615, 0.637935221195221, 0.6344640851020813, 0.6307284235954285, 0.6269646286964417, 0.6233318448066711, 0.6197497248649597, 0.616149365901947, 0.6126640439033508, 0.6090179085731506, 0.60562664270401, 0.6022811532020569, 0.5991306900978088, 0.5957160592079163, 0.5913226008415222, 0.5881579518318176, 0.5850325226783752, 0.5819467902183533, 0.5789029002189636, 0.5758979916572571, 0.57293301820755, 0.5700288414955139, 0.5670655369758606, 0.5641401410102844, 0.5613282322883606, 0.5585525631904602, 0.5555135607719421, 0.5528116822242737, 0.5501449704170227, 0.5475159287452698, 0.5448575615882874, 0.5422996878623962, 0.53978031873703, 0.5372923016548157, 0.5348405241966248, 0.5324227213859558, 0.5300399661064148, 0.5276910662651062, 0.5253775715827942, 0.5230967402458191, 0.520851194858551, 0.5186389088630676, 0.5164602398872375, 0.5144392848014832, 0.5123273730278015, 0.5102488398551941, 0.5082032084465027, 0.5061891674995422, 0.5042098164558411, 0.5022614598274231, 0.5003454089164734, 0.4984608292579651, 0.49660640954971313, 0.4947836995124817, 0.4929932951927185, 0.4912342429161072, 0.4895070195198059, 0.4878094792366028, 0.48614269495010376, 0.4845063090324402, 0.48289960622787476, 0.4813242554664612, 0.47977644205093384, 0.4782959818840027, 0.4768062233924866, 0.47534650564193726, 0.47391360998153687, 0.4725103974342346, 0.4711320996284485, 0.4697827696800232, 0.4684601426124573, 0.4671635031700134, 0.4658929705619812, 0.4646969437599182, 0.4634774327278137, 0.4622806906700134, 0.46110981702804565, 0.4599605202674866, 0.4588330388069153, 0.4577290415763855, 0.45664721727371216, 0.4555860161781311, 0.4545115828514099, 0.45349234342575073, 0.4524938464164734, 0.45151668787002563, 0.450558602809906, 0.4496210217475891, 0.44870084524154663, 0.44780057668685913, 0.4469180703163147, 0.4460539221763611, 0.44520801305770874, 0.444379985332489, 0.44357043504714966, 0.44287461042404175, 0.44210249185562134, 0.4412899613380432, 0.4405539631843567, 0.4398353695869446, 0.4391341805458069, 0.43844836950302124, 0.43778008222579956, 0.4371275305747986, 0.43649083375930786, 0.43586987257003784, 0.43526381254196167, 0.43467289209365845, 0.43409544229507446, 0.4335325360298157, 0.43292945623397827, 0.43239206075668335, 0.4318675398826599, 0.4314104914665222, 0.4309118390083313, 0.4304249882698059, 0.42995113134384155, 0.42948848009109497, 0.42903751134872437, 0.4286002516746521, 0.4281756281852722, 0.4277629256248474, 0.42736417055130005, 0.42697805166244507, 0.42660683393478394, 0.42624861001968384, 0.42590564489364624, 0.4255771040916443, 0.4252634644508362, 0.42532747983932495, 0.4250486493110657, 0.4247848391532898, 0.42453521490097046, 0.4243009686470032, 0.4240792393684387, 0.423872172832489, 0.42369014024734497, 0.4236348271369934, 0.4234691262245178, 0.42331522703170776, 0.42317312955856323, 0.4230425953865051, 0.4229230284690857, 0.42281442880630493, 0.42268139123916626, 0.42259448766708374, 0.4225192666053772, 0.4224533438682556, 0.42239707708358765, 0.42235034704208374, 0.4223126769065857, 0.4222850203514099, 0.4222671389579773, 0.4222568869590759, 0.42225486040115356, 0.42226165533065796, 0.42227703332901, 0.4223707318305969, 0.4224540591239929, 0.4224918484687805, 0.4225366711616516, 0.42254704236984253, 0.4226076006889343, 0.4226747155189514, 0.42274874448776245, 0.42282921075820923, 0.42291587591171265, 0.4230087399482727, 0.4231087565422058, 0.4232134222984314, 0.4233247637748718, 0.4234411120414734, 0.4235634207725525, 0.4236915707588196, 0.42382484674453735, 0.42396384477615356, 0.42410892248153687, 0.42425841093063354, 0.4244130253791809, 0.4245726466178894, 0.42473727464675903, 0.4249061942100525, 0.4250796437263489, 0.4252219796180725, 0.4254031777381897, 0.4255889058113098, 0.42581063508987427, 0.4260048270225525, 0.426203191280365, 0.42640501260757446, 0.4266090989112854, 0.42681795358657837, 0.4270278811454773, 0.42724162340164185, 0.42741256952285767, 0.4276272654533386, 0.4278443455696106, 0.42806476354599, 0.42821604013442993, 0.4284422993659973, 0.42867201566696167, 0.4289014935493469, 0.4290311932563782, 0.42926472425460815, 0.42959970235824585, 0.42989617586135864, 0.43012744188308716, 0.43035727739334106, 0.4305914044380188, 0.43144553899765015, 0.4316769242286682, 0.43191128969192505, 0.4321456551551819, 0.43238121271133423, 0.4326173663139343, 0.43285495042800903, 0.4330926537513733, 0.4333314299583435, 0.43356984853744507, 0.43380898237228394, 0.43404775857925415, 0.43428748846054077, 0.4345272183418274, 0.43476778268814087, 0.4350079894065857, 0.4353681206703186, 0.43560856580734253, 0.43584853410720825, 0.43608909845352173, 0.4363306164741516, 0.43657153844833374, 0.43681174516677856, 0.4370536208152771, 0.4372943043708801, 0.4375355839729309, 0.4376170039176941, 0.4378586411476135, 0.43809884786605835, 0.4383416771888733, 0.4385829567909241, 0.4388027787208557], forces=[(-0.02050350233912468, -0.00952090136706829, -0.011049645021557808), (0.00906189065426588, -0.02022755704820156, 0.10315000265836716), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02018100768327713, -0.012126380577683449, 0.017303170636296272), (0.016264624893665314, -0.006589747034013271, 0.0875306949019432), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.017845535650849342, -0.03384355083107948, -0.00833912193775177), (0.02896575629711151, -0.007998968474566936, 0.08215246349573135), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02507072500884533, -0.005025138147175312, -0.014824158512055874), (-0.006102666724473238, -0.18279843032360077, -0.007002287544310093), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0072091505862772465, -0.012310805730521679, 0.02819327637553215), (-0.007449045777320862, -0.0553642101585865, 0.05686541274189949), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.017285877838730812, -0.029446186497807503, 0.004657838959246874), (0.06033758819103241, 0.0548275001347065, -0.09405253827571869), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0037278977688401937, 0.0010526167461648583, 0.04732443019747734), (-0.04142638295888901, -0.022476322948932648, 0.11535387486219406), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006891984958201647, -0.012614483945071697, 0.06207330524921417), (-0.014975911937654018, -0.006706667132675648, 0.0848207026720047), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00209765019826591, 0.0014490648172795773, 0.05100959539413452), (-0.011511486954987049, 0.007237220648676157, 0.10062757879495621), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.1167948842048645, -0.1420293003320694, 0.05177164450287819), (0.06101052835583687, 0.3037254214286804, 0.008560764603316784)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=7, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.7848081588745117, 0.020523404702544212, 16.938100814819336), (1.3817814588546753, 1.2823635339736938, 18.97869300842285), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.781940221786499, 2.8292477130889893, 16.958328247070312), (1.4105013608932495, 4.401224136352539, 18.982694625854492), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.78564453125, 5.64162540435791, 16.93693733215332), (1.3777095079421997, 7.073480129241943, 18.875001907348633), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.618987083435059, -0.001718729268759489, 16.883337020874023), (4.233689785003662, 1.4086614847183228, 18.83037757873535), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.624951362609863, 2.8262434005737305, 16.894620895385742), (4.239602565765381, 4.250115394592285, 18.829694747924805), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6190185546875, 5.655723571777344, 16.881404876708984), (4.226573944091797, 7.0613884925842285, 18.840715408325195), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.45761489868164, 0.017829986289143562, 16.92169761657715), (6.999081134796143, 1.4100983142852783, 18.820077896118164), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.477958679199219, 2.8321456909179688, 16.956680297851562), (7.006226539611816, 4.260051250457764, 18.815532684326172), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.46023941040039, 5.645720958709717, 16.920442581176758), (7.008388996124268, 7.06398344039917, 18.831729888916016), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.3449726104736328, 2.8240225315093994, 20.409971237182617), (0.38767409324645996, 2.842010259628296, 20.63562774658203)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4373999238014221, energy_trajectory=[1.2467396259307861, 1.2346436977386475, 1.2223641872406006, 1.210460901260376, 1.1985688209533691, 1.1870217323303223, 1.175936222076416, 1.164900779724121, 1.1542754173278809, 1.1441574096679688, 1.134347677230835, 1.1246461868286133, 1.1152899265289307, 1.1059584617614746, 1.0970985889434814, 1.0884943008422852, 1.0800538063049316, 1.0717661380767822, 1.063704252243042, 1.0556602478027344, 1.047956943511963, 1.0402953624725342, 1.0327436923980713, 1.0252745151519775, 1.0179164409637451, 1.0106830596923828, 1.0035653114318848, 0.9965531229972839, 0.9896427989006042, 0.9827356934547424, 0.9760313630104065, 0.9694247841835022, 0.9625280499458313, 0.9560543894767761, 0.9497153162956238, 0.9434675574302673, 0.9372952580451965, 0.9312042593955994, 0.9251915812492371, 0.9192546010017395, 0.9122698903083801, 0.9065011143684387, 0.9007839560508728, 0.8951279520988464, 0.8895402550697327, 0.8840152621269226, 0.8784018158912659, 0.8728983998298645, 0.8677012324333191, 0.8624152541160583, 0.8572544455528259, 0.851794421672821, 0.8465974926948547, 0.8410106301307678, 0.835969865322113, 0.8309792876243591, 0.8260346055030823, 0.821138322353363, 0.8162845969200134, 0.8114727139472961, 0.8067027926445007, 0.8019745945930481, 0.7972850203514099, 0.7926338315010071, 0.7880200743675232, 0.7834433913230896, 0.7789016366004944, 0.7743963599205017, 0.7699273228645325, 0.7654908299446106, 0.7610916495323181, 0.7567248940467834, 0.7523323893547058, 0.7480350136756897, 0.7437719702720642, 0.7395426630973816, 0.7350727915763855, 0.7309148907661438, 0.7267875075340271, 0.7226575016975403, 0.7185940146446228, 0.7145631909370422, 0.7105653882026672, 0.7066014409065247, 0.7026680111885071, 0.698765218257904, 0.6948950886726379, 0.6910598874092102, 0.6872532963752747, 0.6834792494773865, 0.6797381043434143, 0.6760280728340149, 0.6723483204841614, 0.668698251247406, 0.6654238104820251, 0.6616813540458679, 0.6581206917762756, 0.6545899510383606, 0.65108722448349, 0.647614061832428, 0.6441705822944641, 0.6407554745674133, 0.6373685002326965, 0.6340118050575256, 0.6306838393211365, 0.6273446679115295, 0.624074399471283, 0.6208322644233704, 0.61761873960495, 0.6142540574073792, 0.611164391040802, 0.6080415844917297, 0.6049472689628601, 0.6018797755241394, 0.598843514919281, 0.5958370566368103, 0.59285968542099, 0.5899139046669006, 0.5869998335838318, 0.584116518497467, 0.5812661051750183, 0.5784493088722229, 0.5756646990776062, 0.5729150176048279, 0.5702008605003357, 0.5675196051597595, 0.5650717616081238, 0.5624597668647766, 0.5598737597465515, 0.5573334097862244, 0.554828941822052, 0.5523602366447449, 0.5496763586997986, 0.5472815632820129, 0.5448194146156311, 0.5424944758415222, 0.5402092337608337, 0.5379602313041687, 0.5357468724250793, 0.5335701107978821, 0.5317196249961853, 0.5296074748039246, 0.5275295376777649, 0.5254891514778137, 0.524432361125946, 0.5224586129188538, 0.5205171704292297, 0.5186111330986023, 0.5167359709739685, 0.5148938298225403, 0.5130830407142639, 0.5113678574562073, 0.5094771981239319, 0.5077610611915588, 0.5060763955116272, 0.5044193863868713, 0.50279301404953, 0.5011950135231018, 0.49950820207595825, 0.4978601336479187, 0.4963446259498596, 0.4948567748069763, 0.4933963418006897, 0.4919610619544983, 0.49055343866348267, 0.4891725182533264, 0.4878159165382385, 0.4864848256111145, 0.485179603099823, 0.48389965295791626, 0.4826447367668152, 0.4815114140510559, 0.4803054928779602, 0.47921353578567505, 0.47805970907211304, 0.47693032026290894, 0.4758250117301941, 0.47474199533462524, 0.47353285551071167, 0.47249525785446167, 0.47148197889328003, 0.4704917073249817, 0.46952491998672485, 0.4685822129249573, 0.4677503705024719, 0.46695059537887573, 0.46607154607772827, 0.4652140736579895, 0.4643767476081848, 0.4635609984397888, 0.46250075101852417, 0.461728036403656, 0.4609742760658264, 0.46024090051651, 0.4595263600349426, 0.4588302969932556, 0.45815402269363403, 0.4574955105781555, 0.4568557143211365, 0.45623356103897095, 0.45562952756881714, 0.4550439715385437, 0.4544757008552551, 0.4539257884025574, 0.4533923268318176, 0.45287543535232544, 0.45237404108047485, 0.4518272280693054, 0.4513574242591858, 0.4509047865867615, 0.45046669244766235, 0.450043261051178, 0.4496358036994934, 0.44924265146255493, 0.44886380434036255, 0.44849878549575806, 0.44814687967300415, 0.4473569989204407, 0.4470321536064148, 0.4467197060585022, 0.4464196562767029, 0.4461299777030945, 0.44585150480270386, 0.4455847144126892, 0.4453269839286804, 0.44507986307144165, 0.4453921914100647, 0.44516128301620483, 0.44493919610977173, 0.4447254538536072, 0.444519579410553, 0.4443201422691345, 0.44393008947372437, 0.4437435269355774, 0.44356340169906616, 0.4433886408805847, 0.44321924448013306, 0.44305557012557983, 0.44288569688796997, 0.44273537397384644, 0.44259005784988403, 0.44244807958602905, 0.44231027364730835, 0.44217735528945923, 0.4420483708381653, 0.4419218897819519, 0.4414152503013611, 0.4411357045173645, 0.4410243630409241, 0.44091659784317017, 0.4409812092781067, 0.44077080488204956, 0.440673291683197, 0.4405786395072937, 0.44048672914505005, 0.44039756059646606, 0.4403114914894104, 0.44022828340530396, 0.4401478171348572, 0.44006842374801636, 0.4399920105934143, 0.4399178624153137, 0.4398466944694519, 0.43977731466293335, 0.4397093653678894, 0.439643919467926, 0.4395509362220764, 0.4394903779029846, 0.4394305348396301, 0.4393720030784607, 0.4393153786659241, 0.4392607808113098, 0.4392063021659851, 0.4391527771949768, 0.4391013979911804, 0.43910354375839233, 0.4391499161720276, 0.4391016364097595, 0.43905287981033325, 0.4390036463737488, 0.4389553666114807, 0.4389086365699768, 0.43886202573776245, 0.43881577253341675, 0.43876975774765015, 0.43872350454330444, 0.43857890367507935, 0.4385327696800232, 0.4384860396385193, 0.4381186366081238, 0.4379883408546448, 0.4379393458366394, 0.43788963556289673, 0.4378393292427063, 0.4377903342247009, 0.43761688470840454, 0.43756407499313354, 0.43751031160354614, 0.43745630979537964, 0.4373999238014221], forces=[(0.04818591848015785, -0.037585631012916565, -0.0479901023209095), (0.059990499168634415, 0.007514896336942911, -0.1053677350282669), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.029537102207541466, -0.0036663764622062445, -0.020950132980942726), (0.013538322411477566, -0.11873026937246323, -0.05381553992629051), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.04610413312911987, 0.012577359564602375, -0.036761194467544556), (0.028353407979011536, -0.03892451524734497, 0.018835319206118584), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.030246052891016006, 0.0040473854169249535, 0.03459255024790764), (0.010688282549381256, -0.008615346625447273, 0.04162873700261116), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.023185094818472862, 0.00030374916968867183, 0.029567457735538483), (0.0056612566113471985, 0.004641007632017136, 0.04742018133401871), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.035927899181842804, -0.012058494612574577, 0.042744241654872894), (-0.004356694407761097, -0.0021299428772181273, 0.049739375710487366), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009163068607449532, -0.01599986106157303, 0.009316272102296352), (0.061037126928567886, 0.009785878472030163, 0.08000468462705612), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002401719568297267, -0.008305907249450684, -0.009134934283792973), (0.059977833181619644, -0.02791297435760498, 0.09513115882873535), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01383561734110117, -0.009884052909910679, 0.02300211787223816), (0.02029377408325672, -0.0023885571863502264, 0.05913737416267395), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.1049923375248909, 0.10177027434110641, 0.04106462001800537), (-0.01837816648185253, -0.013087154366075993, 0.22528399527072906)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=8, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.845522403717041, -0.00108914147131145, 16.924076080322266), (1.4271905422210693, 1.4406895637512207, 18.837444305419922), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8201651573181152, 2.8399441242218018, 16.887123107910156), (1.4242205619812012, 4.226929664611816, 18.843748092651367), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8485026359558105, 5.6737141609191895, 16.942827224731445), (1.4551947116851807, 7.080208778381348, 18.875818252563477), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.659290313720703, -0.015968630090355873, 16.964113235473633), (4.223936080932617, 1.462436556816101, 18.81475257873535), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.646068572998047, 2.8365745544433594, 16.896284103393555), (4.238297939300537, 4.226436138153076, 18.844356536865234), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.655038356781006, 5.674931526184082, 16.954519271850586), (4.151586532592773, 7.0379743576049805, 18.990530014038086), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.471649169921875, 0.0017105665756389499, 16.923603057861328), (7.094717025756836, 1.47608482837677, 18.80666160583496), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.479484558105469, 2.8450546264648438, 16.88345718383789), (7.0675883293151855, 4.2286505699157715, 18.843116760253906), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.460658073425293, 5.679359436035156, 16.946022033691406), (7.2438812255859375, 7.021999835968018, 18.997730255126953), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.72264289855957, 7.304792881011963, 20.436786651611328), (5.758345603942871, 6.603326320648193, 21.122411727905273)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.48209530115127563, energy_trajectory=[1.42683744430542, 1.4133923053741455, 1.401859998703003, 1.3906207084655762, 1.3797006607055664, 1.369016408920288, 1.3588063716888428, 1.3491380214691162, 1.339454174041748, 1.3299870491027832, 1.3205840587615967, 1.311516523361206, 1.3025615215301514, 1.2937932014465332, 1.2843916416168213, 1.2757477760314941, 1.2672410011291504, 1.2588627338409424, 1.2503657341003418, 1.2420454025268555, 1.2339167594909668, 1.2258381843566895, 1.2179219722747803, 1.2104556560516357, 1.2027051448822021, 1.1950480937957764, 1.187455415725708, 1.179936408996582, 1.172487497329712, 1.165109634399414, 1.157829761505127, 1.1506686210632324, 1.143601894378662, 1.1366751194000244, 1.1298599243164062, 1.1231536865234375, 1.116572618484497, 1.1100740432739258, 1.1034824848175049, 1.0972001552581787, 1.0910096168518066, 1.084916114807129, 1.0790555477142334, 1.0731568336486816, 1.0674138069152832, 1.0616769790649414, 1.056018352508545, 1.0504367351531982, 1.044928789138794, 1.0396099090576172, 1.034250259399414, 1.028965950012207, 1.0238237380981445, 1.0186948776245117, 1.013627052307129, 1.008657455444336, 1.0037624835968018, 0.9989373087882996, 0.994179904460907, 0.9894135594367981, 0.9847741723060608, 0.9801891446113586, 0.9756544232368469, 0.9711833596229553, 0.966743528842926, 0.9623492360115051, 0.9579982161521912, 0.9536904692649841, 0.9494262337684631, 0.9452020525932312, 0.9410203099250793, 0.9368789792060852, 0.9327769875526428, 0.9286896586418152, 0.9246655106544495, 0.9207356572151184, 0.9172651171684265, 0.9133606553077698, 0.9094889760017395, 0.9056561589241028, 0.9018542170524597, 0.8980900645256042, 0.8943579792976379, 0.8906586766242981, 0.886861264705658, 0.8832244277000427, 0.8796200156211853, 0.8760442137718201, 0.872469961643219, 0.8689509034156799, 0.8654609322547913, 0.8619984984397888, 0.858563244342804, 0.8551552891731262, 0.8515495657920837, 0.8477945923805237, 0.8444622159004211, 0.8411563038825989, 0.8378754258155823, 0.8346183896064758, 0.8313848376274109, 0.8281752467155457, 0.8249637484550476, 0.8218042254447937, 0.8186665177345276, 0.8155524134635925, 0.8124603629112244, 0.809386670589447, 0.8063328862190247, 0.8032992482185364, 0.8002833724021912, 0.7972865700721741, 0.7943099141120911, 0.7913501858711243, 0.7884086966514587, 0.7853298783302307, 0.7824228405952454, 0.7795342803001404, 0.7766641974449158, 0.7738111615180969, 0.7709742188453674, 0.7681545615196228, 0.7653511166572571, 0.7625642418861389, 0.7597914338111877, 0.7570356726646423, 0.7542938590049744, 0.7515669465065002, 0.748853862285614, 0.7461557984352112, 0.7434728741645813, 0.740804135799408, 0.7381482720375061, 0.7355062365531921, 0.7328781485557556, 0.7302643656730652, 0.7276645302772522, 0.725060760974884, 0.7224867939949036, 0.7187594771385193, 0.7164430022239685, 0.7139165997505188, 0.7114033102989197, 0.7089046835899353, 0.706419050693512, 0.7039481997489929, 0.7014895081520081, 0.6990445256233215, 0.6966132521629333, 0.6941961646080017, 0.6919284462928772, 0.6895361542701721, 0.6871593594551086, 0.6847960352897644, 0.6824429631233215, 0.6801051497459412, 0.6778709292411804, 0.6756146550178528, 0.673319399356842, 0.6710373759269714, 0.6687702536582947, 0.6665145754814148, 0.6642736792564392, 0.6623044610023499, 0.6600895524024963, 0.6578864455223083, 0.6556978821754456, 0.6535231471061707, 0.6513627171516418, 0.6492148041725159, 0.6475381255149841, 0.6454164385795593, 0.6433085799217224, 0.6411238312721252, 0.6390466094017029, 0.6369815468788147, 0.6349307894706726, 0.6328943371772766, 0.6308723092079163, 0.6288636326789856, 0.6268689036369324, 0.624889075756073, 0.6229223608970642, 0.6209699511528015, 0.6190299391746521, 0.617104709148407, 0.6151910424232483, 0.6132920384407043, 0.6114054322242737, 0.609391987323761, 0.6075291037559509, 0.6056798100471497, 0.603843629360199, 0.6020194888114929, 0.5998160243034363, 0.5980191826820374, 0.5962110161781311, 0.5944388508796692, 0.592681348323822, 0.5909368395805359, 0.5897545218467712, 0.5880386233329773, 0.586436927318573, 0.5847501158714294, 0.5830783247947693, 0.5814211964607239, 0.579781711101532, 0.5781583189964294, 0.5765509009361267, 0.5749606490135193, 0.5733873248100281, 0.5718325972557068, 0.5702947974205017, 0.5687752366065979, 0.5672727227210999, 0.5657889246940613, 0.5643238425254822, 0.5628769993782043, 0.5616485476493835, 0.5602356791496277, 0.5588417649269104, 0.557465136051178, 0.556107223033905, 0.5547656416893005, 0.5534408688545227, 0.5521323084831238, 0.5508388876914978, 0.5495597720146179, 0.5482974648475647, 0.5462237000465393, 0.5449824929237366, 0.543754518032074, 0.5425391793251038, 0.5413351655006409, 0.5401430726051331, 0.5389599204063416, 0.5377877354621887, 0.5366236567497253, 0.5354686379432678, 0.5343219637870789, 0.5333073735237122, 0.532175600528717, 0.5309270024299622, 0.5298101305961609, 0.52870112657547, 0.5275976061820984, 0.5279298424720764, 0.5268488526344299, 0.5257739424705505, 0.5247059464454651, 0.5236446261405945, 0.5225910544395447, 0.5215442776679993, 0.5204183459281921, 0.5193838477134705, 0.5183561444282532, 0.5173347592353821, 0.5162380337715149, 0.5152272582054138, 0.5142222046852112, 0.5132232308387756, 0.5122310519218445, 0.5112459063529968, 0.5102666020393372, 0.5092934966087341, 0.5083271861076355, 0.5077003836631775, 0.5067968964576721, 0.5058504939079285, 0.5049206614494324, 0.5040066838264465, 0.5031077265739441, 0.5021472573280334, 0.5012779831886292, 0.500190794467926, 0.49934953451156616, 0.4985211491584778, 0.4977049231529236, 0.49690109491348267, 0.4961087107658386, 0.4953269362449646, 0.4945560097694397, 0.493796169757843, 0.4930463433265686, 0.49230605363845825, 0.49146944284439087, 0.49075084924697876, 0.49004095792770386, 0.4893413186073303, 0.48864954710006714, 0.4879663586616516, 0.48722153902053833, 0.48655587434768677, 0.4858981966972351, 0.48524755239486694, 0.4846037030220032, 0.48396772146224976, 0.48333674669265747, 0.4827132821083069, 0.48209530115127563], forces=[(0.0032495942432433367, -0.007085795979946852, 0.0176717396825552), (-0.0018620396731421351, 0.0015593431890010834, 0.04396764189004898), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006183898542076349, -0.008266624063253403, 0.006971415597945452), (-0.0022212208714336157, 0.00987194012850523, 0.04010277986526489), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00446482514962554, -0.010455270297825336, -0.009670165367424488), (-0.03039834275841713, -0.002520213834941387, 0.04379316419363022), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0013435084838420153, -0.009029099717736244, 0.008637101389467716), (0.02228378877043724, -0.03294524550437927, 0.05969828739762306), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007765968795865774, -0.009921194985508919, 0.012535838410258293), (0.00029885632102377713, -0.00170806678943336, 0.039774149656295776), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0023044045083224773, -0.0061993906274437904, -0.004249917343258858), (0.01805955171585083, -0.028990991413593292, 0.026371628046035767), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004839387722313404, -0.012111355550587177, 0.020450610667467117), (-0.028908370062708855, -0.07966918498277664, 0.0859866663813591), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007618652191013098, -0.020125260576605797, 0.019157059490680695), (0.01078040711581707, -0.0017441539093852043, 0.04218961298465729), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.03638160228729248, -0.0368376225233078, -0.03367137536406517), (-0.1252010613679886, 0.010832803323864937, -0.011012488044798374), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02291242592036724, 0.03102511540055275, 0.11959495395421982), (-0.08834557235240936, -0.1110488697886467, -0.23573929071426392)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=9, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.820035934448242, -0.0031289481557905674, 16.889360427856445), (1.4076918363571167, 1.3883130550384521, 18.827922821044922), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7939696311950684, 2.849229574203491, 16.96061134338379), (1.3580684661865234, 4.412956714630127, 19.220333099365234), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.789661407470703, 5.6092987060546875, 16.956993103027344), (1.400362491607666, 7.104848384857178, 18.844036102294922), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.640300273895264, 0.0014073150232434273, 16.87995147705078), (4.239928722381592, 1.4012113809585571, 18.815824508666992), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.64577579498291, 2.8261446952819824, 16.896223068237305), (4.2538371086120605, 4.236841201782227, 18.83197593688965), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.641713619232178, 5.642673492431641, 16.89048957824707), (4.241151809692383, 7.062590599060059, 18.81929588317871), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.460484504699707, 0.0007102331146597862, 16.88519287109375), (7.046214580535889, 1.4064394235610962, 18.81515121459961), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.500445365905762, 2.8555667400360107, 16.95968246459961), (7.045510768890381, 4.244142532348633, 18.839441299438477), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.495448112487793, 5.614114284515381, 16.949918746948242), (7.034165382385254, 7.070328712463379, 18.818561553955078), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.595370888710022, 4.085577964782715, 21.16380500793457), (0.7237128615379333, 4.0989813804626465, 21.614171981811523)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.9055532813072205, energy_trajectory=[1.1784307956695557, 1.166597843170166, 1.1563434600830078, 1.1458125114440918, 1.1357898712158203, 1.1257867813110352, 1.1158146858215332, 1.105832576751709, 1.0959281921386719, 1.0861237049102783, 1.0762584209442139, 1.0664916038513184, 1.056750774383545, 1.0471537113189697, 1.0379981994628906, 1.0287408828735352, 1.019507884979248, 1.0107676982879639, 1.0026600360870361, 0.9949957728385925, 0.9877846837043762, 0.9807204604148865, 0.9742129445075989, 0.9680178761482239, 0.9620916247367859, 0.9564628005027771, 0.9510875344276428, 0.9458652138710022, 0.9409458041191101, 0.9362354874610901, 0.9317427277565002, 0.9271976351737976, 0.9230538010597229, 0.919799268245697, 0.9159278273582458, 0.9122629761695862, 0.9087579846382141, 0.9054005742073059, 0.9021880030632019, 0.8991087079048157, 0.8961713910102844, 0.8933678269386292, 0.8906707167625427, 0.8881004452705383, 0.8856684565544128, 0.8834325671195984, 0.8813666701316833, 0.8794878125190735, 0.8777828812599182, 0.8762286305427551, 0.8748529553413391, 0.8735076785087585, 0.872232973575592, 0.871025025844574, 0.8698909878730774, 0.8690025210380554, 0.8680502772331238, 0.8672111630439758, 0.866497814655304, 0.865958034992218, 0.865528404712677, 0.8652946352958679, 0.8651542067527771, 0.8650559782981873, 0.8651667237281799, 0.8653910756111145, 0.8657181859016418, 0.8661405444145203, 0.8666481375694275, 0.8671360611915588, 0.8677951693534851, 0.8685209155082703, 0.869310200214386, 0.8700965046882629, 0.871000349521637, 0.8718579411506653, 0.8728646636009216, 0.8739197850227356, 0.8750266432762146, 0.8761206269264221, 0.877318799495697, 0.8785598874092102, 0.8798437714576721, 0.8812771439552307, 0.8826711773872375, 0.8840945363044739, 0.885520875453949, 0.8871322274208069, 0.8886155486106873, 0.8901260495185852, 0.8914110064506531, 0.8929635882377625, 0.8945346474647522, 0.8936635851860046, 0.8952363133430481, 0.8968499302864075, 0.8984540104866028, 0.9000862240791321, 0.9017224907875061, 0.9033635258674622, 0.9050044417381287, 0.9066446423530579, 0.908277690410614, 0.9099038243293762, 0.9115213751792908, 0.9129926562309265, 0.9145883917808533, 0.916170060634613, 0.9177382588386536, 0.9192940592765808, 0.9206966757774353, 0.9222239851951599, 0.9237380623817444, 0.925187885761261, 0.9266802668571472, 0.9281635880470276, 0.9296398758888245, 0.9311046004295349, 0.9325581192970276, 0.9339984059333801, 0.9354262948036194, 0.936839759349823, 0.9382390379905701, 0.9396238923072815, 0.9409928917884827, 0.9423454403877258, 0.9436795115470886, 0.9449993968009949, 0.9463004469871521, 0.9475832581520081, 0.9488478302955627, 0.9500933289527893, 0.9513210654258728, 0.9525294899940491, 0.9537191987037659, 0.9548889994621277, 0.9560384154319763, 0.9571661353111267, 0.958271324634552, 0.9593538641929626, 0.9604124426841736, 0.9614469408988953, 0.9624583125114441, 0.963446319103241, 0.9644085764884949, 0.9653446078300476, 0.9662544131278992, 0.9671375155448914, 0.9679918885231018, 0.9688181281089783, 0.9696162343025208, 0.9703831076622009, 0.9711206555366516, 0.9718316197395325, 0.9725139737129211, 0.9731671214103699, 0.9737939238548279, 0.9743371605873108, 0.9748042225837708, 0.9753499627113342, 0.9758663773536682, 0.9746575951576233, 0.9751169085502625, 0.9755457043647766, 0.9759505391120911, 0.9763246178627014, 0.9766718745231628, 0.9769936203956604, 0.9772894978523254, 0.9794567227363586, 0.9797099232673645, 0.9799955487251282, 0.9801912903785706, 0.9801285862922668, 0.9802688956260681, 0.9803857207298279, 0.9804738163948059, 0.9802401661872864, 0.9802588820457458, 0.9802723526954651, 0.9802603125572205, 0.980227530002594, 0.9801653027534485, 0.9800828099250793, 0.9799752831459045, 0.9798418879508972, 0.9796860814094543, 0.9795060753822327, 0.9793010354042053, 0.9790733456611633, 0.9788220524787903, 0.9785489439964294, 0.9782518744468689, 0.9779350161552429, 0.9775968194007874, 0.9772343039512634, 0.9768542647361755, 0.9755551218986511, 0.9751234650611877, 0.9746729731559753, 0.9742022156715393, 0.9738137125968933, 0.9732958674430847, 0.9727603793144226, 0.9722055792808533, 0.9716354012489319, 0.9710481762886047, 0.9701666235923767, 0.9695475697517395, 0.9688233733177185, 0.9681691527366638, 0.9675011038780212, 0.9666340947151184, 0.965933620929718, 0.9652125239372253, 0.9658622145652771, 0.9651069045066833, 0.96434086561203, 0.9635643362998962, 0.9627789855003357, 0.961983859539032, 0.9612069725990295, 0.9603949189186096, 0.959571897983551, 0.9587441086769104, 0.9579116702079773, 0.9570730328559875, 0.956227719783783, 0.9548224806785583, 0.953969419002533, 0.9531148076057434, 0.9522556662559509, 0.9513928294181824, 0.9505278468132019, 0.9496623873710632, 0.9487935900688171, 0.947881281375885, 0.9470153450965881, 0.9461484551429749, 0.9452791810035706, 0.9444130063056946, 0.9436212182044983, 0.9427569508552551, 0.9418933987617493, 0.9412493109703064, 0.9403918385505676, 0.9395371079444885, 0.9402872920036316, 0.9394199252128601, 0.9385570883750916, 0.937439501285553, 0.9365894198417664, 0.9357468485832214, 0.9349060654640198, 0.934073269367218, 0.9332435727119446, 0.9324199557304382, 0.9316011071205139, 0.9307869076728821, 0.9299793839454651, 0.9291792511940002, 0.9283859133720398, 0.927600085735321, 0.9268211722373962, 0.9260517954826355, 0.9252890944480896, 0.9242536425590515, 0.9235703349113464, 0.923008382320404, 0.9222878813743591, 0.9211289286613464, 0.9204303622245789, 0.9197402596473694, 0.9190614819526672, 0.9183942675590515, 0.9177389740943909, 0.9170958399772644, 0.9164636731147766, 0.9158459305763245, 0.915240466594696, 0.9144909977912903, 0.9139119982719421, 0.9133467078208923, 0.9127948880195618, 0.9122582077980042, 0.911735475063324, 0.911228358745575, 0.9107326865196228, 0.910252034664154, 0.9097841382026672, 0.9093311429023743, 0.9088907837867737, 0.9084646105766296, 0.9080521464347839, 0.9076523184776306, 0.9072651267051697, 0.9068921208381653, 0.9065309166908264, 0.9058912396430969, 0.9055532813072205], forces=[(0.002262884983792901, 0.013238577172160149, 0.055055808275938034), (0.002086697146296501, 0.02562887966632843, 0.07260267436504364), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014495911076664925, -0.0041197435930371284, 0.008622639812529087), (-0.022787561640143394, -0.12499328702688217, -0.11530991643667221), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01894783414900303, 0.02955814078450203, 0.013292212039232254), (0.0082740169018507, -0.011680577881634235, 0.06497027724981308), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0020004811231046915, 0.0032613479997962713, 0.06424929201602936), (-0.005465569905936718, 0.016946805641055107, 0.08828030526638031), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0005750536802224815, -0.002574729034677148, 0.04843871667981148), (-0.012502720579504967, 0.009305260144174099, 0.05549057945609093), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008068441413342953, 0.008940255269408226, 0.05117051675915718), (-0.0038580598775297403, 0.006606875918805599, 0.08588550984859467), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0019247765885666013, 0.005004435312002897, 0.0585065521299839), (0.0002484204014763236, 0.007090702187269926, 0.09757662564516068), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01867281086742878, -0.008489128202199936, 0.024276308715343475), (-0.01805887185037136, -0.002993266563862562, 0.07632870227098465), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007074844092130661, 0.011863780207931995, 0.036493442952632904), (0.008980580605566502, 0.0013459320180118084, 0.09540144354104996), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015925420448184013, -0.061793021857738495, -0.11837487667798996), (-0.003472003387287259, 0.04267293959856033, -0.15978370606899261)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=10, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.836712598800659, 0.02924933284521103, 16.962583541870117), (1.297355055809021, 1.4368973970413208, 18.981855392456055), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8380818367004395, 2.7913191318511963, 16.95497703552246), (1.4217091798782349, 4.258224010467529, 18.825733184814453), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8292529582977295, 5.639496803283691, 16.88990020751953), (1.4102017879486084, 7.023437976837158, 18.81258773803711), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.645898342132568, 0.01491723582148552, 16.92605972290039), (4.416715145111084, 1.425602912902832, 18.998273849487305), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.650154113769531, 2.800182819366455, 16.924297332763672), (4.264163017272949, 4.24914026260376, 18.818655014038086), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.658240795135498, 5.638559341430664, 16.876035690307617), (4.2634100914001465, 7.016702175140381, 18.810575485229492), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.489710807800293, 0.014141798950731754, 16.923974990844727), (7.087284564971924, 1.4016706943511963, 18.865880966186523), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.491983413696289, 2.80352520942688, 16.927600860595703), (7.07250452041626, 4.249230861663818, 18.827167510986328), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.4659423828125, 5.638925075531006, 16.877952575683594), (7.068236351013184, 7.031197547912598, 18.826215744018555), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (2.8352904319763184, 1.3529385328292847, 20.425992965698242), (2.7573604583740234, 2.2265028953552246, 20.867063522338867)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4271854758262634, energy_trajectory=[1.0012340545654297, 0.9864712357521057, 0.973646342754364, 0.9613030552864075, 0.9498451352119446, 0.9390707612037659, 0.9289029240608215, 0.9198852181434631, 0.9107617735862732, 0.9018332362174988, 0.893116295337677, 0.88479083776474, 0.8763883709907532, 0.8685236573219299, 0.8608223795890808, 0.8533102869987488, 0.8459734320640564, 0.8387684226036072, 0.8317896723747253, 0.8247987627983093, 0.8181368708610535, 0.8115194439888, 0.8050338625907898, 0.7986804842948914, 0.7924773097038269, 0.7863799929618835, 0.7805183529853821, 0.7746606469154358, 0.7689260840415955, 0.7632619738578796, 0.7577455639839172, 0.7523590922355652, 0.7469690442085266, 0.7417297959327698, 0.7364987730979919, 0.7314996123313904, 0.726580798625946, 0.7217673659324646, 0.7170014977455139, 0.7123722434043884, 0.707833468914032, 0.7033829092979431, 0.699016273021698, 0.6947326064109802, 0.6905292868614197, 0.6863887906074524, 0.6823440194129944, 0.6783758997917175, 0.6744419932365417, 0.6706201434135437, 0.6668702960014343, 0.6631918549537659, 0.6595842242240906, 0.6560453772544861, 0.6525714993476868, 0.6491659283638, 0.6458227038383484, 0.6425426602363586, 0.6393186450004578, 0.6361743807792664, 0.6330370306968689, 0.6299872994422913, 0.6269882321357727, 0.6239587664604187, 0.6210588812828064, 0.6182926297187805, 0.6154891848564148, 0.6127318739891052, 0.6100451350212097, 0.6073737740516663, 0.6047468781471252, 0.6021464467048645, 0.5996015667915344, 0.5970974564552307, 0.5946314930915833, 0.5920807719230652, 0.5896937251091003, 0.5873650908470154, 0.5850562453269958, 0.5827829241752625, 0.5805453658103943, 0.5782020688056946, 0.5760408043861389, 0.5739142298698425, 0.5718212723731995, 0.5697608590126038, 0.5677347779273987, 0.5657402873039246, 0.5638979077339172, 0.5619668364524841, 0.5600661635398865, 0.5581974387168884, 0.5565170645713806, 0.5547067523002625, 0.5529261231422424, 0.551173746585846, 0.5494484305381775, 0.5476822257041931, 0.5460125803947449, 0.5443690419197083, 0.542752206325531, 0.5411600470542908, 0.5395929217338562, 0.5380502343177795, 0.5365317463874817, 0.5350374579429626, 0.5335654616355896, 0.5321155190467834, 0.5306863188743591, 0.5292782187461853, 0.5276314616203308, 0.5264591574668884, 0.5251091122627258, 0.5237776637077332, 0.5223321318626404, 0.5210908055305481, 0.5198153853416443, 0.5184004902839661, 0.5171634554862976, 0.5159448981285095, 0.5147445797920227, 0.5135337710380554, 0.5124823451042175, 0.5111530423164368, 0.5100223422050476, 0.5089059472084045, 0.5078063607215881, 0.5067220330238342, 0.5056530833244324, 0.5045976042747498, 0.5035571455955505, 0.502531111240387, 0.5015204548835754, 0.5005225539207458, 0.49953871965408325, 0.4985674023628235, 0.497575581073761, 0.4967884421348572, 0.4958515763282776, 0.49492543935775757, 0.49401146173477173, 0.4931095242500305, 0.49221736192703247, 0.49133676290512085, 0.4904657006263733, 0.48960453271865845, 0.4887527823448181, 0.4879111647605896, 0.4870777726173401, 0.48615580797195435, 0.4853408932685852, 0.48453444242477417, 0.48373693227767944, 0.4829476475715637, 0.4821656346321106, 0.48138195276260376, 0.48061639070510864, 0.47985774278640747, 0.4791080355644226, 0.4783661961555481, 0.47763174772262573, 0.47690528631210327, 0.47618621587753296, 0.47547441720962524, 0.47477012872695923, 0.4741310477256775, 0.4734416604042053, 0.4727594256401062, 0.47239452600479126, 0.47172874212265015, 0.4710683226585388, 0.47041600942611694, 0.46976977586746216, 0.46913033723831177, 0.46849769353866577, 0.4678700566291809, 0.46725016832351685, 0.4666367173194885, 0.46602803468704224, 0.4654260277748108, 0.46483081579208374, 0.4642407298088074, 0.46365445852279663, 0.46307724714279175, 0.4625038504600525, 0.4619106650352478, 0.4613472819328308, 0.4607885479927063, 0.4602348208427429, 0.4596865773200989, 0.4591417908668518, 0.4586029648780823, 0.45807188749313354, 0.457541286945343, 0.45708245038986206, 0.45656007528305054, 0.45604127645492554, 0.4555298686027527, 0.45502179861068726, 0.45451754331588745, 0.4540179371833801, 0.4535215497016907, 0.45302850008010864, 0.45254021883010864, 0.45205575227737427, 0.4515755772590637, 0.4510989785194397, 0.4506269097328186, 0.4500907063484192, 0.44962841272354126, 0.44917064905166626, 0.4487146735191345, 0.4482634663581848, 0.4478148818016052, 0.4473695158958435, 0.4469277262687683, 0.4464341998100281, 0.4461461901664734, 0.4457600712776184, 0.44532984495162964, 0.44490891695022583, 0.4444642663002014, 0.4440482258796692, 0.44363874197006226, 0.4432297348976135, 0.44282859563827515, 0.4424319863319397, 0.4420354962348938, 0.4416491389274597, 0.4415828585624695, 0.44120174646377563, 0.4408262372016907, 0.4404603838920593, 0.4400915503501892, 0.4397314190864563, 0.43937426805496216, 0.4390198588371277, 0.4386681914329529, 0.4383203387260437, 0.4379790425300598, 0.4376404881477356, 0.43730705976486206, 0.43697839975357056, 0.4364141821861267, 0.4360961318016052, 0.4357767701148987, 0.4354686141014099, 0.4351658225059509, 0.4348680377006531, 0.43457382917404175, 0.43428367376327515, 0.43400007486343384, 0.43372005224227905, 0.4334443211555481, 0.43332725763320923, 0.4330609440803528, 0.4328003525733948, 0.43254369497299194, 0.43229252099990845, 0.4320456385612488, 0.4318036437034607, 0.431566059589386, 0.43133479356765747, 0.43110793828964233, 0.4308856129646301, 0.4306800961494446, 0.4304700493812561, 0.43026477098464966, 0.43041592836380005, 0.4302230477333069, 0.4298585057258606, 0.42967885732650757, 0.429503858089447, 0.4293345808982849, 0.42917078733444214, 0.429013192653656, 0.4288601279258728, 0.42871350049972534, 0.42882293462753296, 0.42868751287460327, 0.4285581707954407, 0.4284340739250183, 0.4283168911933899, 0.42820602655410767, 0.42810148000717163, 0.4278925061225891, 0.4278021454811096, 0.427717387676239, 0.4276391863822937, 0.42756563425064087, 0.4274980425834656, 0.427459180355072, 0.42739444971084595, 0.4273480772972107, 0.427306592464447, 0.4272703528404236, 0.42724066972732544, 0.4272168278694153, 0.4271978735923767, 0.4271854758262634], forces=[(-0.004389921668916941, -0.024349110201001167, -0.012455065734684467), (0.021713197231292725, -0.055300768464803696, -0.10668587684631348), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009664456360042095, 0.024705253541469574, -0.012020418420433998), (-0.006999207194894552, -0.026233550161123276, 0.0730847418308258), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0015267267590388656, 0.0012923497706651688, 0.04584381356835365), (0.001384977949783206, 0.010704115964472294, 0.07990054041147232), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009634166955947876, -0.006759589537978172, 0.02194976434111595), (-0.17224498093128204, 0.019732972607016563, -0.017614271491765976), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008361689746379852, 0.01663743332028389, 0.018871784210205078), (-0.01898398995399475, -0.007653268054127693, 0.0897943452000618), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011958141811192036, 0.0035893821623176336, 0.05207836627960205), (-0.01683662459254265, 0.03750267252326012, 0.09388089179992676), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03056306578218937, -0.01779877580702305, 0.0004417934687808156), (-0.06153972074389458, 0.004490503575652838, 0.0498843789100647), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.028765728697180748, 0.012574919499456882, 0.0007436989108100533), (-0.006322408095002174, -0.012934005819261074, 0.0752134844660759), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0022989721037447453, -0.0009466667543165386, 0.04705732315778732), (-0.008337828330695629, 0.012241672724485397, 0.07795294374227524), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0795854851603508, 0.023903172463178635, 0.1086447611451149), (0.1881728172302246, 0.017740260809659958, -0.006051798351109028)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=11, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.852497100830078, 0.0028972614090889692, 16.959064483642578), (1.409723162651062, 1.4135479927062988, 18.859121322631836), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.866847038269043, 2.803765058517456, 16.969627380371094), (1.4101849794387817, 4.23604154586792, 18.859140396118164), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8688018321990967, 5.67029333114624, 16.972455978393555), (1.4113597869873047, 7.0566840171813965, 18.857959747314453), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.635736465454102, 0.003516806522384286, 16.954612731933594), (4.253595352172852, 1.5263774394989014, 19.000093460083008), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.651457786560059, 2.8200151920318604, 16.92359161376953), (4.263175010681152, 4.241097450256348, 18.888412475585938), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.650054454803467, 5.648752689361572, 16.922025680541992), (4.261434078216553, 6.953575611114502, 19.001697540283203), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.483309745788574, -0.000618482066784054, 16.901952743530273), (7.1243743896484375, 1.4326211214065552, 18.82511329650879), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.491599082946777, 2.829721212387085, 16.896724700927734), (7.082249164581299, 4.231503486633301, 18.85004234313965), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.495704650878906, 5.630105018615723, 16.893033981323242), (7.121507167816162, 7.022576808929443, 18.815826416015625), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.559321880340576, -0.026617420837283134, 20.486928939819336), (5.53813362121582, -0.036271605640649796, 20.652362823486328)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4731988310813904, energy_trajectory=[1.8347034454345703, 1.8217458724975586, 1.8112292289733887, 1.8007702827453613, 1.7899596691131592, 1.7799224853515625, 1.7693228721618652, 1.759145736694336, 1.7496471405029297, 1.7408649921417236, 1.732778549194336, 1.7245683670043945, 1.7172448635101318, 1.7102546691894531, 1.7035009860992432, 1.6969401836395264, 1.690528392791748, 1.6842408180236816, 1.6780593395233154, 1.6719729900360107, 1.6659646034240723, 1.6600306034088135, 1.6541635990142822, 1.6483662128448486, 1.6426215171813965, 1.6369307041168213, 1.6313951015472412, 1.6257967948913574, 1.6202383041381836, 1.6147162914276123, 1.6093933582305908, 1.60392427444458, 1.5984840393066406, 1.5930633544921875, 1.587662935256958, 1.5822803974151611, 1.5769097805023193, 1.5715546607971191, 1.5662083625793457, 1.560873031616211, 1.5555429458618164, 1.5502231121063232, 1.544903039932251, 1.5395872592926025, 1.5342726707458496, 1.5286152362823486, 1.5232958793640137, 1.517979383468628, 1.5126614570617676, 1.5073413848876953, 1.502072811126709, 1.4968535900115967, 1.4915473461151123, 1.486257553100586, 1.4809787273406982, 1.4755597114562988, 1.4703092575073242, 1.464975357055664, 1.459585189819336, 1.4543254375457764, 1.4490606784820557, 1.44378662109375, 1.4385004043579102, 1.4332084655761719, 1.4279062747955322, 1.4225468635559082, 1.417280673980713, 1.4119534492492676, 1.4066228866577148, 1.4012866020202637, 1.395946979522705, 1.3906011581420898, 1.3852524757385254, 1.379896640777588, 1.3745396137237549, 1.3691787719726562, 1.363809585571289, 1.3584346771240234, 1.3530561923980713, 1.347670316696167, 1.3422749042510986, 1.3368782997131348, 1.3314692974090576, 1.3260507583618164, 1.3206262588500977, 1.3150241374969482, 1.3095803260803223, 1.3041269779205322, 1.2985515594482422, 1.2930810451507568, 1.2876043319702148, 1.2820210456848145, 1.2765328884124756, 1.2710344791412354, 1.265533685684204, 1.260023593902588, 1.2545111179351807, 1.2489972114562988, 1.2434778213500977, 1.2378649711608887, 1.2323429584503174, 1.2268214225769043, 1.2212982177734375, 1.2156732082366943, 1.210148572921753, 1.204624891281128, 1.198894739151001, 1.1933748722076416, 1.1878547668457031, 1.1823360919952393, 1.1768207550048828, 1.1713104248046875, 1.165801763534546, 1.1602978706359863, 1.1547973155975342, 1.1492109298706055, 1.1437220573425293, 1.1382379531860352, 1.1327588558197021, 1.127288579940796, 1.1218249797821045, 1.116368055343628, 1.1106908321380615, 1.1052477359771729, 1.0998122692108154, 1.0943832397460938, 1.0889625549316406, 1.0835497379302979, 1.0781433582305908, 1.0726511478424072, 1.0672614574432373, 1.0618810653686523, 1.0565097332000732, 1.051145076751709, 1.0457918643951416, 1.040273666381836, 1.0349340438842773, 1.0297367572784424, 1.0244157314300537, 1.0191028118133545, 1.0137982368469238, 1.0085020065307617, 1.0031681060791016, 0.9978883862495422, 0.9926182627677917, 0.9873570799827576, 0.9820762276649475, 0.9768332839012146, 0.9715996384620667, 0.9663733839988708, 0.9611555933952332, 0.955950915813446, 0.9507527947425842, 0.9455661177635193, 0.9403892159461975, 0.9352222084999084, 0.9300671219825745, 0.9249212145805359, 0.9197836518287659, 0.9146575331687927, 0.9095452427864075, 0.9044439196586609, 0.8993554711341858, 0.8942781090736389, 0.8892155289649963, 0.8841649889945984, 0.8791292309761047, 0.8741087317466736, 0.8691021800041199, 0.8641125559806824, 0.8591377139091492, 0.8541783690452576, 0.8492361903190613, 0.8443133234977722, 0.8394097685813904, 0.8345248103141785, 0.8296592831611633, 0.8248148560523987, 0.8199934363365173, 0.8151953816413879, 0.8095956444740295, 0.8048399090766907, 0.8008310198783875, 0.7961228489875793, 0.7914397120475769, 0.7867832779884338, 0.7821529507637024, 0.7775493264198303, 0.7730651497840881, 0.768517792224884, 0.7639986872673035, 0.7595065236091614, 0.7550449967384338, 0.7506096959114075, 0.7462040781974792, 0.7418248057365417, 0.7374756932258606, 0.7328280806541443, 0.7285334467887878, 0.724378764629364, 0.7201429009437561, 0.7159363627433777, 0.7117593884468079, 0.7076135277748108, 0.7034628987312317, 0.699370801448822, 0.6953079104423523, 0.6912755370140076, 0.6872742772102356, 0.6833013892173767, 0.6794256567955017, 0.6755385994911194, 0.6716931462287903, 0.6679114699363708, 0.66414874792099, 0.6604275107383728, 0.6567471623420715, 0.6531092524528503, 0.6495105624198914, 0.6459534764289856, 0.6424375176429749, 0.6389612555503845, 0.6355248093605042, 0.6321273446083069, 0.6290251612663269, 0.6257057785987854, 0.6224368214607239, 0.6191917061805725, 0.6159873604774475, 0.6128237843513489, 0.6092997193336487, 0.6062139868736267, 0.6031689047813416, 0.6001628041267395, 0.5971964001655579, 0.5942676663398743, 0.5909757018089294, 0.5881548523902893, 0.5853680968284607, 0.5826242566108704, 0.5799328684806824, 0.5772761702537537, 0.5746545195579529, 0.5720682740211487, 0.569516122341156, 0.5669974684715271, 0.564512312412262, 0.5620765089988708, 0.5596573948860168, 0.557271420955658, 0.5549158453941345, 0.5523104071617126, 0.5498730540275574, 0.5476076006889343, 0.5453721880912781, 0.5431689620018005, 0.5412574410438538, 0.5393961071968079, 0.5372801423072815, 0.5351937413215637, 0.5331372618675232, 0.5311092734336853, 0.529108464717865, 0.5271374583244324, 0.525195300579071, 0.5232797265052795, 0.5213941931724548, 0.519534170627594, 0.517943799495697, 0.5161409974098206, 0.5143229365348816, 0.5123115181922913, 0.510590136051178, 0.5089208483695984, 0.5072534680366516, 0.5056151747703552, 0.5037743449211121, 0.5021880269050598, 0.5006276965141296, 0.4990929961204529, 0.4975767731666565, 0.4960903525352478, 0.49447160959243774, 0.49303334951400757, 0.49162226915359497, 0.490234911441803, 0.48870140314102173, 0.48736125230789185, 0.4860965609550476, 0.48483210802078247, 0.4835658669471741, 0.48232322931289673, 0.4813808798789978, 0.4801807999610901, 0.47900062799453735, 0.47784072160720825, 0.4767025113105774, 0.4753742814064026, 0.4742758870124817, 0.4731988310813904], forces=[(0.023544397205114365, 0.0026280214078724384, 0.010413803160190582), (0.022913288325071335, 0.012361411936581135, 0.009817625395953655), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.026868928223848343, 0.027655059471726418, -0.061200886964797974), (0.014482053928077221, -0.0026245363987982273, 0.019886448979377747), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.028278300538659096, -0.037965722382068634, -0.06939352303743362), (0.010802465490996838, -0.01023548748344183, 0.012028018943965435), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012030299752950668, -0.0011056038783863187, 0.019364209845662117), (0.044679686427116394, -0.1102503165602684, 0.07173380255699158), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011899277567863464, -0.021682828664779663, 0.014995922334492207), (0.007383205462247133, -0.03279135748744011, 0.03040049970149994), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0001311453670496121, 0.002143396995961666, -0.004649112466722727), (-0.015498736873269081, -0.03857540711760521, -0.03778385743498802), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0013557432685047388, 0.004004834219813347, -0.008524009957909584), (-0.09032987803220749, -0.0353873111307621, 0.04059149697422981), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006794055458158255, 0.00439749751240015, -0.03046051785349846), (0.02476385608315468, -0.004913355689495802, 0.006924644578248262), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007557972799986601, 0.01171887293457985, -0.012777473777532578), (-0.07089222967624664, 0.06050402298569679, 0.07489278167486191), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.06951427459716797, 0.10205558687448502, -0.09910160303115845), (-0.32497599720954895, 0.04041529819369316, -0.08569325506687164)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=12, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8334598541259766, 0.0091481264680624, 16.93243980407715), (1.3757195472717285, 1.396576166152954, 18.824979782104492), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.840745687484741, 2.8198959827423096, 16.959562301635742), (1.3668287992477417, 4.241539478302002, 18.830411911010742), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.829422950744629, 5.627511978149414, 16.934389114379883), (1.3838608264923096, 7.051286697387695, 18.838359832763672), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.617751598358154, 0.009031668305397034, 16.938535690307617), (4.210358142852783, 1.2514910697937012, 18.99782371520996), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.607771396636963, 2.819431781768799, 16.965452194213867), (4.1940484046936035, 4.352853298187256, 19.02015495300293), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.613363265991211, 5.621993541717529, 16.94396209716797), (4.221198081970215, 7.039453506469727, 18.876657485961914), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.456147193908691, -0.010181717574596405, 16.88665008544922), (7.075398921966553, 1.3944188356399536, 18.825931549072266), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.45582103729248, 2.8200671672821045, 16.897172927856445), (7.068652629852295, 4.237208843231201, 18.831417083740234), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.45245361328125, 5.647853374481201, 16.88813591003418), (7.0611724853515625, 7.047277927398682, 18.841081619262695), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.286953449249268, 2.7342422008514404, 20.473478317260742), (3.3926570415496826, 2.7406280040740967, 20.889202117919922)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.425586998462677, energy_trajectory=[1.5981895923614502, 1.5846140384674072, 1.5742616653442383, 1.5650081634521484, 1.5565063953399658, 1.5486383438110352, 1.5413501262664795, 1.5343244075775146, 1.527724027633667, 1.5216310024261475, 1.5152032375335693, 1.5089616775512695, 1.501650094985962, 1.4954898357391357, 1.489363431930542, 1.4832861423492432, 1.4771654605865479, 1.4711031913757324, 1.4650511741638184, 1.459101915359497, 1.4530129432678223, 1.4469878673553467, 1.440964937210083, 1.4349477291107178, 1.4289309978485107, 1.4228310585021973, 1.4167585372924805, 1.410749912261963, 1.4047129154205322, 1.398698329925537, 1.3926775455474854, 1.3866527080535889, 1.3807077407836914, 1.3746497631072998, 1.368617057800293, 1.3625729084014893, 1.3565232753753662, 1.3504652976989746, 1.344573736190796, 1.3384943008422852, 1.332411527633667, 1.3263211250305176, 1.3202219009399414, 1.3141143321990967, 1.3079979419708252, 1.3018717765808105, 1.2957990169525146, 1.2896628379821777, 1.2835209369659424, 1.277372121810913, 1.271221399307251, 1.265068531036377, 1.2589201927185059, 1.2527761459350586, 1.2467625141143799, 1.240633249282837, 1.2345082759857178, 1.2283833026885986, 1.222254753112793, 1.216123342514038, 1.209984540939331, 1.2038397789001465, 1.1976866722106934, 1.1915271282196045, 1.185364007949829, 1.1791949272155762, 1.173022985458374, 1.1668486595153809, 1.1606709957122803, 1.1543810367584229, 1.148127555847168, 1.1419503688812256, 1.1357204914093018, 1.1295442581176758, 1.1233704090118408, 1.117197036743164, 1.1110260486602783, 1.1048572063446045, 1.0986928939819336, 1.092529058456421, 1.086369276046753, 1.080214262008667, 1.074061393737793, 1.067913293838501, 1.0617713928222656, 1.0556354522705078, 1.0495033264160156, 1.0433802604675293, 1.037264347076416, 1.0310578346252441, 1.024972677230835, 1.0188794136047363, 1.01279616355896, 1.0067205429077148, 1.0006103515625, 0.9945598244667053, 0.9885197281837463, 0.9824947714805603, 0.9764257073402405, 0.9704217314720154, 0.964433491230011, 0.9584582448005676, 0.9527285695075989, 0.9467722773551941, 0.9408326745033264, 0.935265839099884, 0.929366409778595, 0.9234822392463684, 0.9176203608512878, 0.9117771983146667, 0.9059540629386902, 0.9001529812812805, 0.8943720459938049, 0.8886114954948425, 0.8828728795051575, 0.8771548867225647, 0.8714942336082458, 0.8658236861228943, 0.8601697087287903, 0.8545388579368591, 0.8489300608634949, 0.843413770198822, 0.8378903269767761, 0.8323481678962708, 0.8268263936042786, 0.8216672539710999, 0.8160596489906311, 0.8105987906455994, 0.80516117811203, 0.7996591925621033, 0.7942675948143005, 0.7888975739479065, 0.7835498452186584, 0.7781793475151062, 0.7732354998588562, 0.767961323261261, 0.7627620100975037, 0.7575328946113586, 0.7523269057273865, 0.7471463084220886, 0.7419887185096741, 0.7368549704551697, 0.7317449450492859, 0.7266603112220764, 0.7215996384620667, 0.7165642380714417, 0.7115111947059631, 0.7063524127006531, 0.7013929486274719, 0.6964676976203918, 0.691582977771759, 0.6867097020149231, 0.6819010376930237, 0.6771678328514099, 0.6725077033042908, 0.6679336428642273, 0.6635217070579529, 0.6590655446052551, 0.6546815037727356, 0.6503661274909973, 0.6461161971092224, 0.6419299244880676, 0.6378348469734192, 0.6337646842002869, 0.6297661662101746, 0.6258330941200256, 0.6219598650932312, 0.6181451678276062, 0.6143897175788879, 0.6107341647148132, 0.6070948243141174, 0.6035107970237732, 0.5999826788902283, 0.5965079665184021, 0.5930899977684021, 0.5897253155708313, 0.5865394473075867, 0.5831620097160339, 0.5799562335014343, 0.5768021941184998, 0.573700487613678, 0.5706481337547302, 0.5674148201942444, 0.5647619366645813, 0.5619191527366638, 0.5590595602989197, 0.5562475323677063, 0.5534829497337341, 0.5507658123970032, 0.5480915904045105, 0.5454654097557068, 0.5428832173347473, 0.5403438210487366, 0.5378821492195129, 0.5354297757148743, 0.5329874157905579, 0.5306176543235779, 0.5282872319221497, 0.5259996056556702, 0.5237517952919006, 0.5215440392494202, 0.519374668598175, 0.5172428488731384, 0.5151495337486267, 0.5130928158760071, 0.51107257604599, 0.5090656876564026, 0.5071210265159607, 0.5052101016044617, 0.5032749772071838, 0.5014304518699646, 0.49962061643600464, 0.49784404039382935, 0.49610036611557007, 0.49438780546188354, 0.49270719289779663, 0.49105924367904663, 0.4894405007362366, 0.4878517985343933, 0.48629385232925415, 0.4847636818885803, 0.4832625985145569, 0.4817888140678406, 0.4803425669670105, 0.47892552614212036, 0.47753220796585083, 0.4761655926704407, 0.4748249650001526, 0.47350865602493286, 0.47221726179122925, 0.47094911336898804, 0.46970421075820923, 0.46848422288894653, 0.4672850966453552, 0.46610790491104126, 0.4649532437324524, 0.46381908655166626, 0.4623503088951111, 0.46125882863998413, 0.4601892828941345, 0.4591394066810608, 0.45811015367507935, 0.4570998549461365, 0.45610886812210083, 0.4551364779472351, 0.45418328046798706, 0.45324963331222534, 0.4523339867591858, 0.45139747858047485, 0.45051759481430054, 0.4496559500694275, 0.44881337881088257, 0.4479876160621643, 0.44717973470687866, 0.4463896155357361, 0.4456161856651306, 0.44486016035079956, 0.4441210627555847, 0.443398654460907, 0.44269055128097534, 0.4420012831687927, 0.44132667779922485, 0.4406678080558777, 0.44002455472946167, 0.43943458795547485, 0.4388201832771301, 0.43822091817855835, 0.4376373887062073, 0.4370662569999695, 0.4365096688270569, 0.435627281665802, 0.43509799242019653, 0.4346020817756653, 0.4341009259223938, 0.4336119294166565, 0.4331360459327698, 0.43267446756362915, 0.4321109652519226, 0.4316747784614563, 0.4312512278556824, 0.4308416247367859, 0.4304429888725281, 0.43005913496017456, 0.4293825030326843, 0.429021418094635, 0.4286734461784363, 0.4283382296562195, 0.42798370122909546, 0.4276741147041321, 0.42737704515457153, 0.4270938038825989, 0.4268229603767395, 0.4265654683113098, 0.4267330765724182, 0.4265063405036926, 0.42629164457321167, 0.42608994245529175, 0.42609256505966187, 0.4257522225379944, 0.425586998462677], forces=[(-0.010049250908195972, -0.021694771945476532, -0.01652917079627514), (0.039258938282728195, 0.013332140631973743, 0.07931963354349136), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0038241413421928883, -0.005963178351521492, 0.0023116744123399258), (0.06973546743392944, -0.023080134764313698, 0.08244159817695618), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007201283238828182, -0.010347274132072926, 0.010994539596140385), (0.0008351230062544346, -0.004442115314304829, 0.04782605171203613), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.03374592587351799, -0.03755034878849983, -0.05137965828180313), (-0.004719295538961887, 0.021364379674196243, -0.10062765330076218), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0005451014149002731, -0.0068130893632769585, -0.004569227807223797), (0.04947984218597412, -0.16134466230869293, -0.03901601955294609), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.04130485653877258, 0.02702673152089119, -0.05346161872148514), (0.007671901024878025, -0.028578193858265877, 0.04541109874844551), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010801425203680992, 0.007814818061888218, 0.006732528563588858), (-0.017643563449382782, -0.007904458791017532, 0.0500405952334404), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006422616075724363, 0.0010615263599902391, 0.008849220350384712), (-0.021763313561677933, 0.0017912689363583922, 0.051604945212602615), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013919344171881676, -0.011091545224189758, 0.008908232674002647), (-0.007518579252064228, -0.0026971660554409027, 0.04693092405796051), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.2709284722805023, 0.29535555839538574, 0.04195703566074371), (0.1781173199415207, -0.007928448729217052, -0.06373841315507889)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=13, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.818711280822754, -0.007627351675182581, 16.916080474853516), (1.346401572227478, 1.2606031894683838, 18.910022735595703), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8095288276672363, 2.816082715988159, 16.949256896972656), (1.4498064517974854, 4.308979034423828, 18.985897064208984), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.822838306427002, 5.630929470062256, 16.92300033569336), (1.4194416999816895, 7.02311372756958, 18.87907600402832), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.657459259033203, -0.017420770600438118, 16.890207290649414), (4.282247543334961, 1.373548150062561, 18.80953025817871), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.6495161056518555, 2.8223483562469482, 16.900293350219727), (4.283992767333984, 4.2454400062561035, 18.83024024963379), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.65730094909668, 5.646906852722168, 16.89992332458496), (4.245850563049316, 7.047178268432617, 18.852144241333008), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.484715461730957, 0.002274521393701434, 16.938650131225586), (7.023289680480957, 1.402340292930603, 18.843231201171875), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.47595500946045, 2.8252036571502686, 16.94330406188965), (7.045079708099365, 4.230976104736328, 18.855379104614258), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.492453575134277, 5.618443965911865, 16.954421997070312), (7.041014194488525, 7.045265197753906, 18.859418869018555), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.6069327592849731, 2.5836222171783447, 20.492351531982422), (2.446287155151367, 2.2504749298095703, 20.892864227294922)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.6533524394035339, energy_trajectory=[2.126708507537842, 2.106843948364258, 2.089831590652466, 2.0741958618164062, 2.0593631267547607, 2.044872283935547, 2.0309712886810303, 2.016719341278076, 2.0024893283843994, 1.988306999206543, 1.9741225242614746, 1.9601502418518066, 1.9469611644744873, 1.934492588043213, 1.9225225448608398, 1.9107847213745117, 1.8997666835784912, 1.889134407043457, 1.87886643409729, 1.8689346313476562, 1.8593192100524902, 1.8499133586883545, 1.8408758640289307, 1.8321046829223633, 1.823582410812378, 1.815302848815918, 1.8072435855865479, 1.799393892288208, 1.7917437553405762, 1.7842864990234375, 1.7770075798034668, 1.7698974609375, 1.763091802597046, 1.7562947273254395, 1.7496426105499268, 1.7430226802825928, 1.7364704608917236, 1.7302100658416748, 1.7240660190582275, 1.7180311679840088, 1.712101936340332, 1.706270456314087, 1.7005329132080078, 1.6948707103729248, 1.6893119812011719, 1.6837408542633057, 1.6783490180969238, 1.6730332374572754, 1.6677892208099365, 1.6626198291778564, 1.6575193405151367, 1.652491807937622, 1.6475391387939453, 1.6426658630371094, 1.6378791332244873, 1.6331467628479004, 1.6284751892089844, 1.623945713043213, 1.6193771362304688, 1.6148490905761719, 1.610361099243164, 1.6059114933013916, 1.6014957427978516, 1.5971105098724365, 1.5927598476409912, 1.5884387493133545, 1.5841493606567383, 1.579890489578247, 1.5756688117980957, 1.5714664459228516, 1.5672926902770996, 1.5631425380706787, 1.5590169429779053, 1.554868459701538, 1.5507829189300537, 1.5467212200164795, 1.5426764488220215, 1.538649559020996, 1.5346391201019287, 1.5306470394134521, 1.5266687870025635, 1.522702693939209, 1.5187511444091797, 1.5148096084594727, 1.5108790397644043, 1.5069570541381836, 1.5030426979064941, 1.4991364479064941, 1.4952356815338135, 1.4913372993469238, 1.4873805046081543, 1.4834880828857422, 1.4795992374420166, 1.4757072925567627, 1.4718120098114014, 1.4679172039031982, 1.4640169143676758, 1.4600820541381836, 1.4561729431152344, 1.452256679534912, 1.4482533931732178, 1.4443273544311523, 1.4403858184814453, 1.4364323616027832, 1.4324612617492676, 1.428504467010498, 1.4245014190673828, 1.4204795360565186, 1.416438341140747, 1.4123775959014893, 1.4082980155944824, 1.4041974544525146, 1.400024652481079, 1.3958806991577148, 1.3917121887207031, 1.3875176906585693, 1.3832969665527344, 1.3790497779846191, 1.3747868537902832, 1.370527982711792, 1.366274118423462, 1.3620238304138184, 1.357774019241333, 1.3535289764404297, 1.3485143184661865, 1.3441717624664307, 1.339925765991211, 1.3356785774230957, 1.331432819366455, 1.327185869216919, 1.3229382038116455, 1.3187594413757324, 1.3145132064819336, 1.310265302658081, 1.3060200214385986, 1.301769733428955, 1.2975175380706787, 1.293266773223877, 1.2890143394470215, 1.2847602367401123, 1.280505657196045, 1.2762532234191895, 1.2719929218292236, 1.2677381038665771, 1.263474464416504, 1.259216070175171, 1.254953145980835, 1.250688076019287, 1.246422290802002, 1.2421526908874512, 1.237882137298584, 1.2336065769195557, 1.2293286323547363, 1.2250447273254395, 1.2207581996917725, 1.2164669036865234, 1.2121732234954834, 1.2078726291656494, 1.2035725116729736, 1.1992645263671875, 1.1949498653411865, 1.1906306743621826, 1.1863048076629639, 1.1819708347320557, 1.1776304244995117, 1.173285961151123, 1.1689317226409912, 1.1645705699920654, 1.1602003574371338, 1.1558220386505127, 1.1514348983764648, 1.1470372676849365, 1.1426308155059814, 1.138214349746704, 1.1337873935699463, 1.129349708557129, 1.1249005794525146, 1.1204416751861572, 1.1159701347351074, 1.111487627029419, 1.1069929599761963, 1.1024878025054932, 1.0979673862457275, 1.0934343338012695, 1.0888879299163818, 1.084326982498169, 1.0798676013946533, 1.075277328491211, 1.0706703662872314, 1.0660972595214844, 1.0614573955535889, 1.0568020343780518, 1.0521304607391357, 1.0474443435668945, 1.0427403450012207, 1.0380229949951172, 1.0332860946655273, 1.0285325050354004, 1.023763656616211, 1.0190060138702393, 1.0142033100128174, 1.0093843936920166, 1.0045502185821533, 0.9997343420982361, 0.9949406981468201, 0.9901686310768127, 0.9854180216789246, 0.9808724522590637, 0.976118266582489, 0.9714344143867493, 0.9667760729789734, 0.9621413350105286, 0.9575329422950745, 0.9522420763969421, 0.9476926922798157, 0.9431632161140442, 0.9386582970619202, 0.9341760277748108, 0.9297186732292175, 0.9252873063087463, 0.9208802580833435, 0.916498601436615, 0.9121450781822205, 0.9078155159950256, 0.9035149216651917, 0.899279773235321, 0.8950302004814148, 0.8903902173042297, 0.8861910700798035, 0.8820202946662903, 0.8778755068778992, 0.8737611174583435, 0.8694887757301331, 0.8654287457466125, 0.8612386584281921, 0.8572315573692322, 0.8532517552375793, 0.8493008017539978, 0.8453769087791443, 0.8414803147315979, 0.8376105427742004, 0.8337677121162415, 0.8299538493156433, 0.8261657357215881, 0.8224048018455505, 0.8186711668968201, 0.8149635195732117, 0.8112837672233582, 0.8073535561561584, 0.8037258982658386, 0.799015462398529, 0.7954387068748474, 0.7918892502784729, 0.7883651852607727, 0.7848671078681946, 0.7813952565193176, 0.7779480814933777, 0.7745022177696228, 0.7711057066917419, 0.7677345871925354, 0.7644942402839661, 0.7609811425209045, 0.7576873898506165, 0.7544165253639221, 0.7511717677116394, 0.7479508519172668, 0.7447518706321716, 0.7415781617164612, 0.7384266257286072, 0.7352966666221619, 0.7321907877922058, 0.7309191823005676, 0.7278590798377991, 0.7248255610466003, 0.7218146920204163, 0.7188251614570618, 0.7158588767051697, 0.7129152417182922, 0.7099925875663757, 0.7070919871330261, 0.7044023871421814, 0.7015443444252014, 0.6987083554267883, 0.6956606507301331, 0.6928701996803284, 0.6901022791862488, 0.68735271692276, 0.6846243739128113, 0.6819170117378235, 0.6792287230491638, 0.676561176776886, 0.6739093661308289, 0.671282947063446, 0.6686766743659973, 0.6659546494483948, 0.6633911728858948, 0.6608696579933167, 0.6583455204963684, 0.6558393836021423, 0.6533524394035339], forces=[(-0.01609371230006218, 0.0013037835014984012, 0.00414071511477232), (0.12573781609535217, 0.022667579352855682, 0.2003471553325653), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.025464780628681183, -0.01572171412408352, 0.02620227448642254), (0.121839739382267, -0.17164915800094604, 0.1562289148569107), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01343398354947567, -0.028823794797062874, 0.008714736439287663), (0.0009038941352628171, -0.03792800009250641, 0.024585194885730743), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006357251200824976, -0.0009149275138042867, -0.020870599895715714), (-0.09921485930681229, 0.03879568725824356, 0.055950965732336044), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00039851179462857544, -0.004043377470225096, -0.009482606314122677), (-0.0652587041258812, -0.05246778205037117, 0.052618902176618576), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003125155111774802, -0.008522857911884785, -0.022287487983703613), (0.0166181493550539, -0.007094725500792265, 0.004746551625430584), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01758028194308281, -0.03459237515926361, -0.05134526267647743), (0.010330867022275925, -0.020683996379375458, 0.003063427284359932), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.046438202261924744, -0.018143104389309883, 0.03760473057627678), (0.029072033241391182, -0.0013567096320912242, 0.009717115201056004), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005578913260251284, -0.011447176337242126, -0.02922949381172657), (0.007635266054421663, -0.006565142888575792, 0.008890288881957531), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.3152061402797699, -0.1285400688648224, 0.04896305501461029), (-0.013783304952085018, 0.6113209128379822, -0.2153758406639099)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=14, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.82236909866333, -0.026583198457956314, 16.950204849243164), (1.3803026676177979, 1.4286638498306274, 18.81924819946289), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.803354024887085, 2.8215231895446777, 16.87897300720215), (1.3728909492492676, 4.216303825378418, 18.82162857055664), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8187966346740723, 5.67031192779541, 16.941822052001953), (1.303547978401184, 7.059901237487793, 18.868038177490234), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.603202819824219, -0.03614550456404686, 16.970195770263672), (4.199019908905029, 1.4396766424179077, 18.817564010620117), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.629800319671631, 2.8215389251708984, 16.889171600341797), (4.194734573364258, 4.198099136352539, 18.8267822265625), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.606618881225586, 5.670557975769043, 16.956146240234375), (3.95371675491333, 6.949634075164795, 19.095016479492188), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.429807662963867, -0.013799103908240795, 16.911479949951172), (7.038811206817627, 1.427509069442749, 18.814313888549805), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.453713417053223, 2.8212671279907227, 16.87649917602539), (7.039420127868652, 4.211389541625977, 18.818939208984375), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.433810234069824, 5.653163909912109, 16.905925750732422), (7.052683353424072, 7.032637119293213, 18.948421478271484), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.217409610748291, 7.082951068878174, 20.684326171875), (5.037592887878418, 6.314115524291992, 21.272491455078125)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.7084428668022156, energy_trajectory=[1.1563198566436768, 1.1428802013397217, 1.1336238384246826, 1.1245641708374023, 1.1153998374938965, 1.1062963008880615, 1.0975542068481445, 1.0884761810302734, 1.0796196460723877, 1.0709810256958008, 1.0620975494384766, 1.0534212589263916, 1.0448555946350098, 1.036783218383789, 1.0282378196716309, 1.019946575164795, 1.011657953262329, 1.0034804344177246, 0.9953667521476746, 0.9873787760734558, 0.9798865914344788, 0.9728705286979675, 0.9666528105735779, 0.9601556658744812, 0.9539427161216736, 0.9480002522468567, 0.9421862959861755, 0.9366944432258606, 0.9314284920692444, 0.9263407588005066, 0.9214938282966614, 0.9171237349510193, 0.9126594662666321, 0.9083756804466248, 0.9042608141899109, 0.9003131985664368, 0.8965237736701965, 0.8928917050361633, 0.8891837000846863, 0.8858497738838196, 0.8826293349266052, 0.8796129822731018, 0.8767711520195007, 0.8741422295570374, 0.8716431260108948, 0.8694344162940979, 0.8673329949378967, 0.8653722405433655, 0.8634127974510193, 0.8615947365760803, 0.8575218319892883, 0.8560864329338074, 0.8548153042793274, 0.8535457253456116, 0.8523679375648499, 0.851124107837677, 0.8499444127082825, 0.8490152955055237, 0.8481666445732117, 0.8474025130271912, 0.8467231392860413, 0.8461266160011292, 0.8456112742424011, 0.8451711535453796, 0.8447988629341125, 0.8444942831993103, 0.844244658946991, 0.8442347645759583, 0.8440859913825989, 0.8438573479652405, 0.8438685536384583, 0.8438237309455872, 0.8438134789466858, 0.843765914440155, 0.8438119292259216, 0.8438764214515686, 0.8439649939537048, 0.8440766930580139, 0.844207227230072, 0.8443560004234314, 0.8445207476615906, 0.8447312712669373, 0.84492427110672, 0.84512859582901, 0.845346987247467, 0.8457085490226746, 0.8459470868110657, 0.8461968302726746, 0.8464540839195251, 0.8468920588493347, 0.8471639752388, 0.8474416136741638, 0.8477197289466858, 0.8479986786842346, 0.8482794165611267, 0.8485587239265442, 0.848897397518158, 0.8491743206977844, 0.8494471907615662, 0.8497150540351868, 0.8499789834022522, 0.8502383828163147, 0.8504921793937683, 0.8507439494132996, 0.8509858250617981, 0.8512210249900818, 0.8514528870582581, 0.8516756892204285, 0.8518940806388855, 0.852106511592865, 0.8522241711616516, 0.8523573279380798, 0.8525539040565491, 0.8527480959892273, 0.8529422879219055, 0.8531338572502136, 0.853437602519989, 0.8536275029182434, 0.8538199067115784, 0.8540129065513611, 0.8542048335075378, 0.8543984293937683, 0.8545889258384705, 0.8548808693885803, 0.8550722002983093, 0.855259120464325, 0.8554467558860779, 0.8556349873542786, 0.858563244342804, 0.8587622046470642, 0.8589571118354797, 0.8591452240943909, 0.8593314290046692, 0.8595756888389587, 0.8597587943077087, 0.8599410653114319, 0.8601195216178894, 0.8601762652397156, 0.8603519797325134, 0.8605251908302307, 0.8606979250907898, 0.860868513584137, 0.8610374331474304, 0.8612032532691956, 0.8597145676612854, 0.8598828911781311, 0.8600487112998962, 0.8602129817008972, 0.8603728413581848, 0.860166609287262, 0.8603169322013855, 0.8604617714881897, 0.8606025576591492, 0.8607376217842102, 0.8609622120857239, 0.8610859513282776, 0.8612038493156433, 0.8613112568855286, 0.861410915851593, 0.861499011516571, 0.8615781664848328, 0.8616451621055603, 0.8614982962608337, 0.8615462183952332, 0.8622192740440369, 0.8622422814369202, 0.8622484803199768, 0.8622398972511292, 0.862214982509613, 0.8621761202812195, 0.860710084438324, 0.8606378436088562, 0.8605478405952454, 0.8604418635368347, 0.8603151440620422, 0.8601691126823425, 0.8600043654441833, 0.8598174452781677, 0.8596116900444031, 0.8593857884407043, 0.8591408133506775, 0.8588739037513733, 0.8584668040275574, 0.8581586480140686, 0.8577975630760193, 0.8574437499046326, 0.8570690751075745, 0.8566727042198181, 0.8562533259391785, 0.8558130860328674, 0.8553507924079895, 0.8548654913902283, 0.8543587327003479, 0.8538110852241516, 0.8532586693763733, 0.8526826500892639, 0.8520095944404602, 0.8513873219490051, 0.8507404923439026, 0.8501328825950623, 0.8494381308555603, 0.8487177491188049, 0.8479730486869812, 0.84720379114151, 0.8464097380638123, 0.8455913662910461, 0.8447480797767639, 0.8438815474510193, 0.8429921269416809, 0.8420785069465637, 0.8411428332328796, 0.84018474817276, 0.8392056822776794, 0.8381018042564392, 0.8370802998542786, 0.8360410332679749, 0.8347412943840027, 0.8336566090583801, 0.8325554728507996, 0.8313555121421814, 0.8302187323570251, 0.829078733921051, 0.8279075026512146, 0.8267205357551575, 0.825604259967804, 0.824357807636261, 0.8231223225593567, 0.8218682408332825, 0.8205969929695129, 0.8193065524101257, 0.8179976344108582, 0.8166767954826355, 0.8153455853462219, 0.8166616559028625, 0.8153323531150818, 0.8139860033988953, 0.8126241564750671, 0.8112501502037048, 0.8098236918449402, 0.8084419369697571, 0.8070270419120789, 0.8055978417396545, 0.8041533827781677, 0.8026956915855408, 0.8012239336967468, 0.7997137904167175, 0.7982123494148254, 0.7966989874839783, 0.795171320438385, 0.7936318516731262, 0.7920798659324646, 0.7905170321464539, 0.7889431118965149, 0.7873575091362, 0.7858276963233948, 0.7842203974723816, 0.7826029658317566, 0.7809756398200989, 0.7792995572090149, 0.7776544690132141, 0.7760007977485657, 0.7743385434150696, 0.7726693749427795, 0.7709925770759583, 0.7693102955818176, 0.7677263617515564, 0.7661102414131165, 0.7644125819206238, 0.7627115845680237, 0.7607452273368835, 0.7590438723564148, 0.7570058703422546, 0.7553021311759949, 0.753368079662323, 0.7516627907752991, 0.7499578595161438, 0.748252809047699, 0.7466875910758972, 0.7449830174446106, 0.7435830235481262, 0.7418766617774963, 0.7401692271232605, 0.7379154562950134, 0.7361990809440613, 0.7344793677330017, 0.7327577471733093, 0.7310325503349304, 0.7293042540550232, 0.7275722622871399, 0.7258375287055969, 0.7240987420082092, 0.7223584055900574, 0.7206130623817444, 0.7189673781394958, 0.717216432094574, 0.7154660820960999, 0.7137120366096497, 0.7119576334953308, 0.7102007269859314, 0.7084428668022156], forces=[(-0.03639956936240196, 0.007859020493924618, 0.0056296163238584995), (-0.002372071146965027, -0.01787826605141163, 0.08922093361616135), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0017323826905339956, -0.012520446442067623, 0.05353963375091553), (0.0021123948972672224, 0.0002078319521388039, 0.08454665541648865), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03453228995203972, -0.03090992197394371, 0.009385929442942142), (0.02403366006910801, -0.014829435385763645, 0.07491779327392578), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00852630753070116, 0.007238150108605623, 0.006290807388722897), (-0.00663038482889533, -0.040522500872612, 0.08544760197401047), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004053257405757904, -0.014582077972590923, 0.05268307775259018), (-0.004652956500649452, -0.006557314191013575, 0.0753934234380722), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004821899347007275, -0.02995985373854637, 0.007870906963944435), (0.163540318608284, 0.07569945603609085, -0.15918460488319397), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.025524018332362175, -0.014040655456483364, 0.07401855289936066), (-0.01641615852713585, -0.01590522564947605, 0.09518878906965256), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0036429453175514936, -0.005607136059552431, 0.05761764571070671), (-0.01770976185798645, -0.00981387123465538, 0.0890674740076065), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.025869380682706833, 0.005708002019673586, 0.07371418178081512), (-0.06629902124404907, -0.02639678493142128, 0.16531477868556976), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.08452490717172623, 0.13979652523994446, -0.09353256970643997), (0.24869555234909058, 0.0020034336484968662, -0.2617754638195038)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=15, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.7836763858795166, -0.014832084067165852, 16.883865356445312), (1.406062364578247, 1.4017231464385986, 18.844453811645508), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.798090696334839, 2.8200011253356934, 16.893068313598633), (1.407376766204834, 4.231104373931885, 18.839038848876953), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.799755334854126, 5.642337799072266, 16.886503219604492), (1.405773401260376, 7.037073135375977, 18.840625762939453), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.633938789367676, -0.0025498548056930304, 16.924245834350586), (4.156768321990967, 1.3785799741744995, 18.803834915161133), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.654884338378906, 2.7997584342956543, 16.962949752807617), (4.181878566741943, 4.235472679138184, 18.818517684936523), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.639499187469482, 5.620151519775391, 16.916717529296875), (4.195740699768066, 7.036233425140381, 18.82880973815918), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.405448913574219, 0.023653119802474976, 16.970399856567383), (7.039929389953613, 1.2047173976898193, 19.048032760620117), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.420241355895996, 2.8095898628234863, 16.96578598022461), (7.016373634338379, 4.260715484619141, 18.986032485961914), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.428744316101074, 5.622420310974121, 16.938112258911133), (7.020237922668457, 6.992562294006348, 18.875699996948242), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (6.792664051055908, 2.5038158893585205, 20.616811752319336), (5.819685459136963, 2.4040446281433105, 20.761722564697266)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.6225427985191345, energy_trajectory=[1.5498526096343994, 1.5365386009216309, 1.5263121128082275, 1.515876054763794, 1.505986213684082, 1.496267557144165, 1.486809253692627, 1.477705478668213, 1.468885898590088, 1.4602720737457275, 1.4518625736236572, 1.4438354969024658, 1.435811996459961, 1.4278006553649902, 1.4196922779083252, 1.4119198322296143, 1.4042160511016846, 1.3963885307312012, 1.3888487815856934, 1.381976842880249, 1.3744516372680664, 1.3668277263641357, 1.3593833446502686, 1.3519947528839111, 1.3446223735809326, 1.3373596668243408, 1.3299379348754883, 1.3227546215057373, 1.3156414031982422, 1.3085944652557373, 1.3015403747558594, 1.2946882247924805, 1.2878756523132324, 1.2810914516448975, 1.2743704319000244, 1.2677147388458252, 1.2611021995544434, 1.254446029663086, 1.2479829788208008, 1.2415814399719238, 1.2352445125579834, 1.2289674282073975, 1.2227511405944824, 1.2165977954864502, 1.2105095386505127, 1.2044012546539307, 1.1984331607818604, 1.1925342082977295, 1.1866850852966309, 1.1808140277862549, 1.1750874519348145, 1.1693525314331055, 1.1642119884490967, 1.1586740016937256, 1.1531999111175537, 1.1477117538452148, 1.142352819442749, 1.13704514503479, 1.1317939758300781, 1.1265993118286133, 1.1214570999145508, 1.116368055343628, 1.1113359928131104, 1.1063613891601562, 1.1014389991760254, 1.096663475036621, 1.0918617248535156, 1.0871124267578125, 1.0826988220214844, 1.0780694484710693, 1.0734946727752686, 1.0689818859100342, 1.0645244121551514, 1.0601253509521484, 1.055781602859497, 1.0514945983886719, 1.0472469329833984, 1.0430736541748047, 1.0389549732208252, 1.0348918437957764, 1.030881643295288, 1.0268275737762451, 1.0229277610778809, 1.0190811157226562, 1.0152909755706787, 1.0115511417388916, 1.007866382598877, 1.0042345523834229, 1.0006542205810547, 0.9971272349357605, 0.9936521649360657, 0.9902302622795105, 0.9868587851524353, 0.9835390448570251, 0.9802716374397278, 0.9770531058311462, 0.9738871455192566, 0.9707702994346619, 0.9677045941352844, 0.964690625667572, 0.961635172367096, 0.958717405796051, 0.9558516144752502, 0.9530790448188782, 0.9503207802772522, 0.9474285244941711, 0.9448104500770569, 0.9421886801719666, 0.939614474773407, 0.9370822310447693, 0.9345939755439758, 0.9320399165153503, 0.9296377301216125, 0.9273368716239929, 0.9250158667564392, 0.9227325320243835, 0.9204862713813782, 0.9182760119438171, 0.9161011576652527, 0.913929283618927, 0.9118210673332214, 0.9097446799278259, 0.907701313495636, 0.905687153339386, 0.9037047028541565, 0.9017488360404968, 0.8998224139213562, 0.8979265093803406, 0.8960556387901306, 0.8942105174064636, 0.8923928141593933, 0.8905993103981018, 0.888828456401825, 0.8870827555656433, 0.8853581547737122, 0.883656919002533, 0.8819761872291565, 0.8803170323371887, 0.8786774277687073, 0.8771103024482727, 0.8755016922950745, 0.8738628029823303, 0.8722895979881287, 0.8707333207130432, 0.8691135048866272, 0.8675910830497742, 0.8661810755729675, 0.8646906018257141, 0.8632151484489441, 0.8617553114891052, 0.8603091835975647, 0.8588772416114807, 0.8574596047401428, 0.8562386631965637, 0.854939877986908, 0.8535608649253845, 0.8521954417228699, 0.8510308861732483, 0.8496915698051453, 0.8483664393424988, 0.8470531105995178, 0.8461220860481262, 0.8448314070701599, 0.8435532450675964, 0.842285692691803, 0.841029703617096, 0.8396137356758118, 0.838378369808197, 0.8368521332740784, 0.8355922102928162, 0.8343827128410339, 0.8331772685050964, 0.8318328261375427, 0.8306352496147156, 0.8294431567192078, 0.8282527327537537, 0.8270425200462341, 0.8258597254753113, 0.8246777653694153, 0.8234943747520447, 0.82231205701828, 0.8211293816566467, 0.8199439644813538, 0.8187565207481384, 0.8175643086433411, 0.8163685202598572, 0.8151690363883972, 0.8139174580574036, 0.8127086758613586, 0.8114926218986511, 0.8102725148200989, 0.8090437054634094, 0.8078083395957947, 0.8065657019615173, 0.8053163886070251, 0.8040576577186584, 0.8027907013893127, 0.8015130162239075, 0.800229012966156, 0.7989333271980286, 0.7976303696632385, 0.7963170409202576, 0.7949946522712708, 0.7936616539955139, 0.7923184037208557, 0.7909665703773499, 0.789603054523468, 0.7882310748100281, 0.7868478894233704, 0.7854543328285217, 0.7840494513511658, 0.7826351523399353, 0.7812088131904602, 0.7797475457191467, 0.7783003449440002, 0.7768421769142151, 0.775372326374054, 0.7738909125328064, 0.7723982930183411, 0.7708950638771057, 0.7693784832954407, 0.7678502202033997, 0.7659322619438171, 0.7643783688545227, 0.7628135085105896, 0.761238157749176, 0.7593254446983337, 0.7577283978462219, 0.756119430065155, 0.7544998526573181, 0.7528702616691589, 0.7512298226356506, 0.7495792508125305, 0.7479175925254822, 0.746213972568512, 0.7445341944694519, 0.7428449988365173, 0.7411450743675232, 0.7394376397132874, 0.7377198338508606, 0.7359936833381653, 0.7342578768730164, 0.7325126528739929, 0.7307578921318054, 0.7289955019950867, 0.7272232174873352, 0.7254418730735779, 0.7236533761024475, 0.7218542695045471, 0.7200465798377991, 0.7182320952415466, 0.7164083123207092, 0.7145785689353943, 0.7127427458763123, 0.7108667492866516, 0.7090602517127991, 0.7072041630744934, 0.7053425908088684, 0.7034737467765808, 0.7016004920005798, 0.6997200846672058, 0.6978355050086975, 0.6959449648857117, 0.6940487027168274, 0.692148745059967, 0.6902413964271545, 0.6883295178413391, 0.6864110827445984, 0.6844869256019592, 0.682558000087738, 0.6806225180625916, 0.6786779761314392, 0.6767300963401794, 0.6747754216194153, 0.6728153824806213, 0.670848548412323, 0.668875515460968, 0.6668974757194519, 0.6649134755134583, 0.6629131436347961, 0.6609175801277161, 0.6589168906211853, 0.6569110751152039, 0.6549016833305359, 0.652886688709259, 0.6508665680885315, 0.6491183638572693, 0.6470882296562195, 0.6450572609901428, 0.643021285533905, 0.6413952708244324, 0.6393540501594543, 0.6373092532157898, 0.6352608799934387, 0.6312702298164368, 0.6307782530784607, 0.6287246346473694, 0.6266675591468811, 0.6246064305305481, 0.6225427985191345], forces=[(0.03383393958210945, 0.0054856231436133385, 0.023241501301527023), (-0.00020007412240374833, -0.02430707961320877, 0.0441182479262352), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01236006524413824, -0.01455163024365902, 0.027588125318288803), (-0.012784385122358799, -0.01618705317378044, 0.06156855449080467), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00261949235573411, -0.010361614637076855, 0.01792868971824646), (-0.012426307424902916, -0.0048737055622041225, 0.056287217885255814), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014046544209122658, -0.023161787539720535, 0.011639837175607681), (0.10990990698337555, 0.013828069902956486, 0.11492069810628891), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002226416487246752, -0.007936152629554272, -0.013575802557170391), (0.01851785182952881, -0.03431377559900284, 0.0833459347486496), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006298195105046034, -0.02927934192121029, 0.03478200361132622), (-0.005881256423890591, 0.0008040462853386998, 0.05967191606760025), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.08062663674354553, -0.1054612249135971, -0.09980180114507675), (0.07165367156267166, -0.010423446074128151, -0.20472842454910278), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012823687866330147, -0.010618392378091812, -0.014909600839018822), (-0.04492853209376335, -0.11822593957185745, 0.15682083368301392), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012283816002309322, -0.04657449200749397, 0.0356011800467968), (0.002780389739200473, -0.04493631795048714, 0.06489505618810654), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.026151174679398537, 0.28893181681632996, -0.34375354647636414), (0.15707311034202576, 0.3087121844291687, 0.10105585306882858)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=16, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8525331020355225, 0.015526056289672852, 16.935787200927734), (1.475203037261963, 1.403937816619873, 18.877592086791992), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8519256114959717, 2.8016653060913086, 16.936115264892578), (1.4287915229797363, 4.245739936828613, 18.839933395385742), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.822195291519165, 5.638211250305176, 16.891122817993164), (1.4252164363861084, 7.034775733947754, 18.839393615722656), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.660679817199707, 0.025656403973698616, 16.9665470123291), (4.189143180847168, 1.4271353483200073, 19.012516021728516), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.659618377685547, 2.793407917022705, 16.95855712890625), (4.239707946777344, 4.249849319458008, 18.83903694152832), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.646481513977051, 5.639214515686035, 16.90030860900879), (4.231746196746826, 7.025814533233643, 18.83025550842285), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.465225219726562, 0.016483809798955917, 16.939804077148438), (7.2617506980896, 1.4301480054855347, 19.021482467651367), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.465845108032227, 2.7972090244293213, 16.940914154052734), (7.07629919052124, 4.250067710876465, 18.833755493164062), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.47685432434082, 5.6381635665893555, 16.888683319091797), (7.0782880783081055, 7.017279148101807, 18.82427406311035), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.796202182769775, 1.337484359741211, 20.509336471557617), (5.8788533210754395, 2.1920065879821777, 20.988006591796875)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4545835852622986, energy_trajectory=[1.1258094310760498, 1.1139299869537354, 1.1050972938537598, 1.0966789722442627, 1.0884981155395508, 1.080416202545166, 1.072660207748413, 1.0648612976074219, 1.0570094585418701, 1.0493357181549072, 1.041626214981079, 1.034085988998413, 1.026933193206787, 1.019883394241333, 1.0130798816680908, 1.0062670707702637, 0.9996610283851624, 0.9929595589637756, 0.986537516117096, 0.9802970290184021, 0.9740771651268005, 0.9679878354072571, 0.9619187712669373, 0.9559200406074524, 0.9503161311149597, 0.9446603655815125, 0.9392918944358826, 0.9340313076972961, 0.9288442730903625, 0.9237794280052185, 0.9196138978004456, 0.9147582650184631, 0.9100151658058167, 0.9053218960762024, 0.9009124636650085, 0.8967251181602478, 0.8927401900291443, 0.8889415860176086, 0.8853121399879456, 0.8817628026008606, 0.8784324526786804, 0.8752338290214539, 0.8721546530723572, 0.8691876530647278, 0.8663222193717957, 0.8635526299476624, 0.8608691096305847, 0.8582897782325745, 0.8557614684104919, 0.8533013463020325, 0.8509075045585632, 0.8483341336250305, 0.8460579514503479, 0.8438060879707336, 0.8416300415992737, 0.8404112458229065, 0.8383367657661438, 0.8362999558448792, 0.8342998623847961, 0.8323336243629456, 0.8303994536399841, 0.8284959197044373, 0.8266200423240662, 0.8247696757316589, 0.8229439854621887, 0.8211401104927063, 0.8194170594215393, 0.8176530003547668, 0.8159065842628479, 0.8140450119972229, 0.8123312592506409, 0.8106321692466736, 0.8089473843574524, 0.8072752356529236, 0.8056153655052185, 0.8039652705192566, 0.8023267388343811, 0.8006988167762756, 0.799079954624176, 0.7974706292152405, 0.7958692908287048, 0.794511616230011, 0.7929245829582214, 0.7913439869880676, 0.7897691130638123, 0.7881997227668762, 0.7866351008415222, 0.7850777506828308, 0.7835234999656677, 0.7819748520851135, 0.7804307341575623, 0.7788898348808289, 0.7773544192314148, 0.7758210301399231, 0.7742913365364075, 0.7727628350257874, 0.771237313747406, 0.7695531249046326, 0.7680309414863586, 0.7665103077888489, 0.7650328278541565, 0.7635130286216736, 0.7618080973625183, 0.76028972864151, 0.7587708830833435, 0.7572514414787292, 0.7557303309440613, 0.7542094588279724, 0.7526857256889343, 0.7511605620384216, 0.7496330142021179, 0.7481045126914978, 0.7465733885765076, 0.7450403571128845, 0.7436882853507996, 0.7421502470970154, 0.7404893040657043, 0.7389453053474426, 0.7373993992805481, 0.7358489632606506, 0.7342982888221741, 0.7327447533607483, 0.7311887145042419, 0.7296308875083923, 0.7280699610710144, 0.7265082001686096, 0.7249434590339661, 0.7233760952949524, 0.7218065857887268, 0.7202350497245789, 0.7186608910560608, 0.7170841097831726, 0.7155057787895203, 0.71392422914505, 0.7123405337333679, 0.7107539772987366, 0.7088972926139832, 0.7073042988777161, 0.7057084441184998, 0.7041102051734924, 0.702508270740509, 0.7009039521217346, 0.6992960572242737, 0.6976847052574158, 0.6961613297462463, 0.6945429444313049, 0.6929243206977844, 0.6913020014762878, 0.689677894115448, 0.6880518794059753, 0.6865549683570862, 0.6850867867469788, 0.6834579110145569, 0.6818264126777649, 0.6801959872245789, 0.6785656809806824, 0.6769360899925232, 0.6753433346748352, 0.6737125515937805, 0.6720834374427795, 0.6704521775245667, 0.6688224673271179, 0.6671931147575378, 0.6655649542808533, 0.6639352440834045, 0.6623063683509827, 0.6606760621070862, 0.6590465903282166, 0.6574153304100037, 0.6557841897010803, 0.6541528105735779, 0.6525219082832336, 0.6508895754814148, 0.6492576003074646, 0.6477041840553284, 0.6460742354393005, 0.6444448828697205, 0.6428179144859314, 0.6411930918693542, 0.6395706534385681, 0.6379509568214417, 0.635465681552887, 0.6338492035865784, 0.6322318911552429, 0.6306149363517761, 0.6290010809898376, 0.627386748790741, 0.6257746815681458, 0.6241633296012878, 0.6225526928901672, 0.6209419369697571, 0.6193309426307678, 0.6177211403846741, 0.6161096692085266, 0.6144984364509583, 0.6128848195075989, 0.6112702488899231, 0.6096547245979309, 0.6080378890037537, 0.6064180731773376, 0.6045539975166321, 0.6029285788536072, 0.6013014912605286, 0.5996740460395813, 0.5978385806083679, 0.5962054133415222, 0.5945720076560974, 0.5929357409477234, 0.5912972092628479, 0.5897640585899353, 0.5881218314170837, 0.5864773392677307, 0.5848299860954285, 0.5831789374351501, 0.5815059542655945, 0.5798482298851013, 0.5781876444816589, 0.5770251154899597, 0.5753583312034607, 0.5736886858940125, 0.5720170140266418, 0.5703427195549011, 0.5686672329902649, 0.5669910311698914, 0.5653141140937805, 0.5636369585990906, 0.5615660548210144, 0.5598906874656677, 0.5582154393196106, 0.5565746426582336, 0.554902970790863, 0.5531122088432312, 0.5512334704399109, 0.5495654940605164, 0.5479006171226501, 0.5462382435798645, 0.5445793271064758, 0.5429238677024841, 0.5410727858543396, 0.5394224524497986, 0.5377748608589172, 0.5361301302909851, 0.5344875454902649, 0.5331434607505798, 0.5315060019493103, 0.5298733115196228, 0.5282430052757263, 0.526617705821991, 0.5249959826469421, 0.5233791470527649, 0.5217674374580383, 0.520162045955658, 0.518563449382782, 0.5169718861579895, 0.5153889060020447, 0.5138182044029236, 0.5122541785240173, 0.5107011198997498, 0.5091593861579895, 0.507631242275238, 0.5061139464378357, 0.5046085715293884, 0.503115713596344, 0.5016365647315979, 0.5001699328422546, 0.49871379137039185, 0.4972720742225647, 0.4958426356315613, 0.4944245219230652, 0.49301642179489136, 0.4916185736656189, 0.49022942781448364, 0.4888492226600647, 0.48747557401657104, 0.48611027002334595, 0.48474985361099243, 0.4833948016166687, 0.4818487763404846, 0.48050278425216675, 0.4791603684425354, 0.4778209328651428, 0.47648459672927856, 0.47514981031417847, 0.47381943464279175, 0.47249919176101685, 0.4711945652961731, 0.47008031606674194, 0.4688066840171814, 0.46754950284957886, 0.46630793809890747, 0.46508318185806274, 0.46383100748062134, 0.46271711587905884, 0.4615423083305359, 0.46012336015701294, 0.4589805006980896, 0.4578552842140198, 0.45674723386764526, 0.45565682649612427, 0.4545835852622986], forces=[(0.012450022622942924, 0.0008665472851134837, 0.009821247309446335), (-0.014951166696846485, -0.0019838649313896894, 0.048250555992126465), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010508595034480095, 0.0021610164549201727, 0.009439641609787941), (0.000958683667704463, -0.0029846569523215294, 0.04429474472999573), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005142668727785349, 0.0027625798247754574, 0.005686943419277668), (0.0037773875519633293, 0.0023119249381124973, 0.04256872832775116), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003173078875988722, -0.0031624827533960342, -0.007995312102138996), (0.0008550799684599042, 0.022095482796430588, 0.02923215553164482), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007104883436113596, 0.00564184645190835, -0.007457364350557327), (0.010880573652684689, 0.001126266666688025, 0.045818448066711426), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007821137085556984, 0.0018313922919332981, 0.006695619318634272), (0.013349109329283237, 0.008579200133681297, 0.04603961482644081), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.032297998666763306, -0.017431309446692467, -0.021690741181373596), (-0.05316571891307831, -0.02283291332423687, -0.12999039888381958), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.030805418267846107, 0.01868920587003231, -0.023635178804397583), (0.010390641167759895, -0.012672659009695053, 0.049830880016088486), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0006424591992981732, 0.0013102521188557148, 0.007871936075389385), (0.00737418606877327, 0.020093603059649467, 0.0546378418803215), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.12407952547073364, 0.029649928212165833, -0.036753732711076736), (-0.20276173949241638, -0.017691215500235558, -0.11231300234794617)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=17, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.822392702102661, -0.020885292440652847, 16.90300178527832), (1.3919897079467773, 1.3396012783050537, 18.826553344726562), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8265416622161865, 2.8263957500457764, 16.951324462890625), (1.3107373714447021, 4.2087297439575195, 18.984119415283203), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.824389696121216, 5.612514019012451, 16.955278396606445), (1.4138009548187256, 7.047630310058594, 18.85974884033203), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.656852722167969, -0.03136388957500458, 16.891878128051758), (4.263243675231934, 1.3424556255340576, 18.817384719848633), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.644952774047852, 2.810405969619751, 16.920978546142578), (4.365584373474121, 4.245426177978516, 18.97562026977539), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.632803916931152, 5.600230693817139, 16.960044860839844), (4.241508483886719, 7.057677745819092, 18.85633087158203), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.456521987915039, -0.03249248117208481, 16.896757125854492), (7.056108474731445, 1.3746846914291382, 18.850677490234375), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.470569610595703, 2.8070406913757324, 16.922372817993164), (7.065931797027588, 4.198968887329102, 18.888504028320312), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.487689971923828, 5.595993518829346, 16.96473503112793), (7.06059455871582, 7.048884391784668, 18.86429214477539), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (2.8606314659118652, 3.8946409225463867, 20.428974151611328), (2.893538236618042, 2.9025943279266357, 20.489036560058594)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.48095208406448364, energy_trajectory=[1.871215581893921, 1.8540616035461426, 1.8385124206542969, 1.8236463069915771, 1.8100533485412598, 1.797187089920044, 1.785017490386963, 1.7735414505004883, 1.7622640132904053, 1.7515060901641846, 1.7409701347351074, 1.7306759357452393, 1.720660924911499, 1.7108430862426758, 1.7015128135681152, 1.6920852661132812, 1.6828083992004395, 1.6736359596252441, 1.6645793914794922, 1.6555566787719727, 1.6466503143310547, 1.6378633975982666, 1.6291568279266357, 1.6200604438781738, 1.611506700515747, 1.6028316020965576, 1.594376802444458, 1.5858619213104248, 1.5775246620178223, 1.5690157413482666, 1.560819149017334, 1.5526304244995117, 1.544485092163086, 1.5361926555633545, 1.5281195640563965, 1.5202324390411377, 1.5123686790466309, 1.504403829574585, 1.4964768886566162, 1.488586187362671, 1.481248140335083, 1.473517894744873, 1.4657518863677979, 1.4580183029174805, 1.4503157138824463, 1.443037509918213, 1.4353971481323242, 1.4277868270874023, 1.4202029705047607, 1.4126465320587158, 1.4051144123077393, 1.3976085186004639, 1.3901221752166748, 1.3826589584350586, 1.375223159790039, 1.367809772491455, 1.360419511795044, 1.3530519008636475, 1.345705509185791, 1.3383796215057373, 1.3310754299163818, 1.3237910270690918, 1.316528081893921, 1.3092846870422363, 1.3020615577697754, 1.294861078262329, 1.2876803874969482, 1.2805233001708984, 1.2733855247497559, 1.2662708759307861, 1.2591722011566162, 1.2521772384643555, 1.2446842193603516, 1.2376492023468018, 1.230635404586792, 1.223562240600586, 1.2167255878448486, 1.209791660308838, 1.2028751373291016, 1.195972204208374, 1.1890912055969238, 1.182227611541748, 1.1753849983215332, 1.1685609817504883, 1.1617560386657715, 1.1548922061920166, 1.1481270790100098, 1.1413795948028564, 1.1346564292907715, 1.1279516220092773, 1.1212701797485352, 1.1146109104156494, 1.1079754829406738, 1.10125732421875, 1.0946714878082275, 1.0881168842315674, 1.0815868377685547, 1.0751872062683105, 1.068711280822754, 1.0622663497924805, 1.0558488368988037, 1.0494616031646729, 1.0432822704315186, 1.036952018737793, 1.030653476715088, 1.0243878364562988, 1.0181565284729004, 1.0119571685791016, 1.0057947635650635, 0.9996669888496399, 0.9935763478279114, 0.987522304058075, 0.9815060496330261, 0.9755257964134216, 0.9699130654335022, 0.9640061259269714, 0.9581382870674133, 0.9523112177848816, 0.9465213418006897, 0.941108763217926, 0.9353983998298645, 0.9297289252281189, 0.9240999817848206, 0.9185096621513367, 0.9129610657691956, 0.9074518084526062, 0.9019822478294373, 0.8965532183647156, 0.8911648392677307, 0.8857315182685852, 0.8804232478141785, 0.8751539587974548, 0.8699261546134949, 0.8647380471229553, 0.8595896363258362, 0.8544828295707703, 0.8494277596473694, 0.8444306254386902, 0.8394899964332581, 0.8346031308174133, 0.8297703862190247, 0.8249908089637756, 0.8202639222145081, 0.8155887722969055, 0.8111856579780579, 0.8066183924674988, 0.8021004796028137, 0.7973265051841736, 0.7929032444953918, 0.7885294556617737, 0.78420490026474, 0.7798612713813782, 0.7756349444389343, 0.7714579701423645, 0.7673290371894836, 0.7632467150688171, 0.7592118382453918, 0.7552236914634705, 0.7512810826301575, 0.7473849654197693, 0.7435334324836731, 0.7397273182868958, 0.7359647154808044, 0.7322463393211365, 0.7285699248313904, 0.724934995174408, 0.7213413119316101, 0.7178017497062683, 0.7142868638038635, 0.710812509059906, 0.707375705242157, 0.7039794325828552, 0.700619637966156, 0.6972987055778503, 0.6940142512321472, 0.6907654404640198, 0.6875523924827576, 0.6843741536140442, 0.681230366230011, 0.6781211495399475, 0.6750463843345642, 0.6720029711723328, 0.6690168976783752, 0.6660347580909729, 0.6630926728248596, 0.6601834893226624, 0.657306969165802, 0.6544631123542786, 0.6516508460044861, 0.648872435092926, 0.6461254954338074, 0.643410861492157, 0.6407282948493958, 0.6380767226219177, 0.6354578137397766, 0.632869303226471, 0.6303122639656067, 0.6277853846549988, 0.6252903342247009, 0.6228269934654236, 0.6205845475196838, 0.6178796887397766, 0.615505039691925, 0.6131609082221985, 0.6106340289115906, 0.6083502173423767, 0.6060940623283386, 0.6038646101951599, 0.6016640067100525, 0.5994897484779358, 0.5973421931266785, 0.5952218174934387, 0.5931257605552673, 0.5910560488700867, 0.589129626750946, 0.5871087908744812, 0.5847979187965393, 0.5828242897987366, 0.5816835761070251, 0.5797811150550842, 0.5779021382331848, 0.5760449767112732, 0.5739455819129944, 0.572367250919342, 0.5705750584602356, 0.5688026547431946, 0.567050039768219, 0.565317690372467, 0.5636784434318542, 0.5619832873344421, 0.5603076815605164, 0.5586503148078918, 0.5570421814918518, 0.5554232001304626, 0.553820788860321, 0.5522344708442688, 0.5506654381752014, 0.5491122603416443, 0.5475767254829407, 0.5460568070411682, 0.544553816318512, 0.5430663228034973, 0.5415956377983093, 0.5401412844657898, 0.5386473536491394, 0.5372242331504822, 0.5358178019523621, 0.5338779091835022, 0.5325321555137634, 0.531202495098114, 0.5298884510993958, 0.5285887122154236, 0.5271995663642883, 0.5259312987327576, 0.5246792435646057, 0.5234413743019104, 0.5222204327583313, 0.5210148692131042, 0.5198238492012024, 0.5186495184898376, 0.5174896121025085, 0.5163450837135315, 0.51527339220047, 0.514163076877594, 0.5130650401115417, 0.5119826197624207, 0.5109123587608337, 0.5098559260368347, 0.5088130831718445, 0.5077827572822571, 0.5067656636238098, 0.505760133266449, 0.5047668814659119, 0.5037023425102234, 0.5027311444282532, 0.5017724633216858, 0.5008249878883362, 0.4998881220817566, 0.49896174669265747, 0.49804598093032837, 0.4971403479576111, 0.4962450861930847, 0.49535995721817017, 0.49448448419570923, 0.4936179518699646, 0.49276119470596313, 0.4919136166572571, 0.4910741448402405, 0.4902448058128357, 0.48942357301712036, 0.48861128091812134, 0.4878078103065491, 0.4870125651359558, 0.48622530698776245, 0.4854455590248108, 0.48467427492141724, 0.48391085863113403, 0.48244065046310425, 0.48169296979904175, 0.48095208406448364], forces=[(0.001024163793772459, 0.008245985023677349, -0.006460289470851421), (0.03231975808739662, 0.065122589468956, 0.03020394779741764), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0006684186519123614, 0.014049211516976357, 0.026413235813379288), (0.02937242016196251, 0.011225312948226929, 0.014177896082401276), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002961154095828533, -0.008338863030076027, -0.0026507710572332144), (-0.003140474436804652, 0.004289709497243166, 0.0010181827237829566), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0070217386819422245, 0.011134563945233822, -0.007588030304759741), (-0.046104129403829575, 0.07238021492958069, 0.0491507314145565), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00661991024389863, 0.007022949866950512, 0.0022219913080334663), (-0.025543907657265663, -0.02299739606678486, 0.0069852122105658054), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.018504446372389793, 0.019811149686574936, -0.044877517968416214), (0.00755319744348526, -0.006098087411373854, 0.0017461497336626053), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0027253394946455956, 0.006277711130678654, -0.015567419119179249), (0.00543762743473053, -0.006778562907129526, 0.004439938347786665), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011106404475867748, 0.008679157122969627, 0.0030688000842928886), (-0.0006841874564997852, -0.0009120928007178009, 0.008510593324899673), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.022106312215328217, 0.026758193969726562, -0.04922542721033096), (0.0008492792258039117, -0.006486251950263977, 0.0019911467097699642), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.027784036472439766, 0.04312939941883087, -0.0639268308877945), (-0.07767071574926376, 0.2442452609539032, 0.114267997443676)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=18, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8201520442962646, 0.01367359608411789, 16.92405128479004), (1.3565146923065186, 1.3988244533538818, 18.7850284576416), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8345937728881836, 2.7977638244628906, 16.941299438476562), (1.3820340633392334, 4.237578392028809, 18.804264068603516), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8084053993225098, 5.642841339111328, 16.885103225708008), (1.3778233528137207, 7.043247222900391, 18.811752319335938), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.589736461639404, 0.03814040124416351, 16.957731246948242), (4.297475337982178, 1.368903398513794, 19.062942504882812), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.607398986816406, 2.8063783645629883, 16.940845489501953), (4.222094535827637, 4.279110431671143, 18.812929153442383), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.636165142059326, 5.653973579406738, 16.885780334472656), (4.205127239227295, 7.032425880432129, 18.827421188354492), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.432942390441895, -0.008303996175527573, 16.87958335876465), (7.072840213775635, 1.4125220775604248, 18.8320255279541), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.442709922790527, 2.8264365196228027, 16.88041877746582), (7.049787521362305, 4.246860504150391, 18.8179988861084), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.450820922851562, 5.642731666564941, 16.879457473754883), (7.045034408569336, 7.040560722351074, 18.822717666625977), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.029969692230225, 1.605682611465454, 21.008590698242188), (3.1218574047088623, 1.2675650119781494, 21.16434097290039)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8977976441383362, energy_trajectory=[1.397047996520996, 1.384904146194458, 1.3744685649871826, 1.3645930290222168, 1.355147123336792, 1.345973014831543, 1.336749792098999, 1.3277428150177002, 1.3188481330871582, 1.3103163242340088, 1.3016109466552734, 1.2931063175201416, 1.2845289707183838, 1.2762036323547363, 1.2680485248565674, 1.2600302696228027, 1.2521717548370361, 1.2445952892303467, 1.237226963043213, 1.23036789894104, 1.2233855724334717, 1.216611385345459, 1.210146427154541, 1.203721046447754, 1.1974866390228271, 1.191354513168335, 1.1853656768798828, 1.1795103549957275, 1.1737847328186035, 1.1681818962097168, 1.1628501415252686, 1.1575047969818115, 1.1520745754241943, 1.146949291229248, 1.1417832374572754, 1.1368393898010254, 1.1312642097473145, 1.126495361328125, 1.1218140125274658, 1.117215871810913, 1.1127002239227295, 1.1082637310028076, 1.1039087772369385, 1.0996310710906982, 1.0954315662384033, 1.0911831855773926, 1.0871148109436035, 1.0831515789031982, 1.0792639255523682, 1.0754547119140625, 1.0717246532440186, 1.0679659843444824, 1.0643808841705322, 1.0608844757080078, 1.0577597618103027, 1.0544166564941406, 1.05116605758667, 1.0479810237884521, 1.0448739528656006, 1.0418365001678467, 1.0388522148132324, 1.035961627960205, 1.0331447124481201, 1.0303940773010254, 1.0277185440063477, 1.0251119136810303, 1.0225756168365479, 1.0201103687286377, 1.0177230834960938, 1.0153348445892334, 1.0130531787872314, 1.0108988285064697, 1.0088350772857666, 1.0068275928497314, 1.0048887729644775, 1.0030181407928467, 1.0012147426605225, 0.9994800686836243, 0.9977486729621887, 0.9961370825767517, 0.9945865273475647, 0.9930961728096008, 0.9916598200798035, 0.9902811646461487, 0.988952100276947, 0.9876717925071716, 0.9874215722084045, 0.9862399697303772, 0.9850991368293762, 0.9839956164360046, 0.9830138087272644, 0.9819815754890442, 0.980985701084137, 0.9800190329551697, 0.9790824055671692, 0.978173553943634, 0.9772933125495911, 0.9764403700828552, 0.9756098389625549, 0.9748042225837708, 0.9740229249000549, 0.9732621312141418, 0.9725698828697205, 0.9718524813652039, 0.9711554646492004, 0.9704768061637878, 0.9698167443275452, 0.9690694212913513, 0.9684428572654724, 0.9678358435630798, 0.967244565486908, 0.9666681885719299, 0.9661088585853577, 0.9661269783973694, 0.9655802845954895, 0.9653105139732361, 0.9647895693778992, 0.9642811417579651, 0.9637821316719055, 0.963296115398407, 0.9628167748451233, 0.9623478055000305, 0.9618918299674988, 0.9614455103874207, 0.9610068202018738, 0.9605811238288879, 0.9601626992225647, 0.9597405791282654, 0.959338366985321, 0.9589454531669617, 0.9585580229759216, 0.958179771900177, 0.9578080773353577, 0.9574422240257263, 0.9570837616920471, 0.9567278027534485, 0.9563782811164856, 0.956034243106842, 0.9556909203529358, 0.955352246761322, 0.9550190567970276, 0.9545106291770935, 0.9541824460029602, 0.9538549780845642, 0.9535310864448547, 0.953212559223175, 0.9528955817222595, 0.9525806307792664, 0.9522711634635925, 0.9519639611244202, 0.9516579508781433, 0.9513569474220276, 0.9510584473609924, 0.950659453868866, 0.9503660798072815, 0.9500483870506287, 0.9497604966163635, 0.9494765400886536, 0.9491958022117615, 0.9489193558692932, 0.9486458897590637, 0.9483776688575745, 0.948112428188324, 0.9478521943092346, 0.947594940662384, 0.9470120072364807, 0.9467601180076599, 0.946512758731842, 0.946268618106842, 0.9460282921791077, 0.9457899928092957, 0.9455549120903015, 0.9453213810920715, 0.9450886845588684, 0.9448575377464294, 0.9446271061897278, 0.9440132975578308, 0.9437846541404724, 0.9435047507286072, 0.943275511264801, 0.9430451989173889, 0.9428151249885559, 0.9425832629203796, 0.942350447177887, 0.9421142935752869, 0.941877543926239, 0.9416369795799255, 0.9413947463035583, 0.9411483407020569, 0.9406995177268982, 0.9404504895210266, 0.940199077129364, 0.9399464726448059, 0.9396894574165344, 0.9394310116767883, 0.9391680359840393, 0.9389024376869202, 0.9386369585990906, 0.9383650422096252, 0.9376906752586365, 0.9374150633811951, 0.937136709690094, 0.9368569254875183, 0.9365746378898621, 0.9363628029823303, 0.9360780119895935, 0.9357886910438538, 0.9354978203773499, 0.9352664351463318, 0.9349744915962219, 0.9346800446510315, 0.93438321352005, 0.9340885281562805, 0.9337902665138245, 0.933491051197052, 0.9331938624382019, 0.932891309261322, 0.9325907826423645, 0.9322866797447205, 0.9319828152656555, 0.9316745400428772, 0.9313684105873108, 0.9310572743415833, 0.9307442307472229, 0.9303258061408997, 0.93000727891922, 0.9296868443489075, 0.929361879825592, 0.9290329813957214, 0.9287016987800598, 0.9283656477928162, 0.9280262589454651, 0.9276825785636902, 0.9273349642753601, 0.9269821047782898, 0.9266259074211121, 0.9262650609016418, 0.9259005188941956, 0.9255303740501404, 0.9251996874809265, 0.9248194098472595, 0.9244349598884583, 0.92404705286026, 0.9236523509025574, 0.9232550263404846, 0.9228532910346985, 0.9224477410316467, 0.9220381379127502, 0.9216259121894836, 0.9212111830711365, 0.92079097032547, 0.9203677773475647, 0.9199422001838684, 0.9195141196250916, 0.9190834164619446, 0.9186493754386902, 0.9182127118110657, 0.9177740216255188, 0.9173341393470764, 0.9168899655342102, 0.9164460301399231, 0.9160012602806091, 0.9155520796775818, 0.9151017069816589, 0.9146509766578674, 0.9141990542411804, 0.9137429594993591, 0.9131311774253845, 0.9127424359321594, 0.9122816920280457, 0.9119177460670471, 0.9114521145820618, 0.9109852910041809, 0.9105158448219299, 0.9100458025932312, 0.9095752835273743, 0.9091030955314636, 0.908630907535553, 0.9081546664237976, 0.9076781868934631, 0.9071996808052063, 0.9067202210426331, 0.9062383770942688, 0.9057543873786926, 0.905268132686615, 0.9047817587852478, 0.9042921662330627, 0.9038003087043762, 0.9033077359199524, 0.9028136134147644, 0.9023179411888123, 0.9018197655677795, 0.9013209939002991, 0.9008216261863708, 0.9003204703330994, 0.8998175263404846, 0.899314820766449, 0.8988096117973328, 0.8983027338981628, 0.8977976441383362], forces=[(0.015426545403897762, -0.0033334800973534584, 0.02202140912413597), (0.1119983121752739, 0.012744012288749218, 0.1617070585489273), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0035492407623678446, 0.010005980730056763, 0.011475658975541592), (0.027001522481441498, -0.012804037891328335, 0.1224115639925003), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0072906059212982655, -0.0024249290581792593, 0.04909560829401016), (0.023772303014993668, 0.00995263084769249, 0.11035336554050446), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.06609951704740524, -0.04457448422908783, -0.03596116229891777), (-0.03741466626524925, 0.03875577077269554, -0.1339598149061203), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.04368502274155617, 0.016704393550753593, -0.0033607350196689367), (0.002534806728363037, -0.05084079131484032, 0.10963010042905807), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002133688423782587, -0.014726631343364716, 0.04859713837504387), (0.019788959994912148, 0.017548324540257454, 0.09400171786546707), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.04314127936959267, 0.007880950346589088, 0.058369699865579605), (0.007946859113872051, -0.002777986228466034, 0.08309116959571838), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.03544105216860771, -0.007728827651590109, 0.05956225097179413), (0.0008491990738548338, -0.011361455544829369, 0.09914348274469376), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010308338329195976, -0.002033886732533574, 0.05409795045852661), (0.00145959563087672, 0.010939456522464752, 0.09405811131000519), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05995164439082146, -0.061280760914087296, -0.018218468874692917), (0.017880383878946304, 0.03790826350450516, 0.1872587949037552)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=19, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8156797885894775, 0.001381437061354518, 16.892608642578125), (1.4348691701889038, 1.4201388359069824, 18.846399307250977), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8165106773376465, 2.8268885612487793, 16.90070152282715), (1.424344778060913, 4.256438732147217, 18.8330135345459), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.811821937561035, 5.659018516540527, 16.88671875), (1.423646092414856, 7.066926002502441, 18.844850540161133), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.655498504638672, 0.031884148716926575, 16.9388370513916), (4.201133728027344, 1.413134217262268, 18.8282470703125), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.665722370147705, 2.8341493606567383, 16.96477699279785), (4.189964771270752, 4.267152786254883, 18.818077087402344), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.650832176208496, 5.653240203857422, 16.92730140686035), (4.210639953613281, 7.071052551269531, 18.843141555786133), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.442025184631348, 0.03294730931520462, 16.94559097290039), (7.089883804321289, 1.327718734741211, 19.018905639648438), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.438333511352539, 2.8353431224823, 16.957496643066406), (7.060373306274414, 4.420598030090332, 18.982229232788086), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.438443183898926, 5.649101734161377, 16.935152053833008), (7.041594505310059, 7.099824905395508, 18.879316329956055), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (6.922032356262207, 2.910428762435913, 20.456830978393555), (7.757584095001221, 2.9247066974639893, 20.973058700561523)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4305568337440491, energy_trajectory=[1.1805553436279297, 1.165156602859497, 1.1534702777862549, 1.1421749591827393, 1.1314449310302734, 1.122023344039917, 1.112436056137085, 1.1033899784088135, 1.0945508480072021, 1.086212158203125, 1.0779259204864502, 1.068485975265503, 1.0605247020721436, 1.0526683330535889, 1.0450940132141113, 1.0377216339111328, 1.030444622039795, 1.0233376026153564, 1.0165526866912842, 1.0096471309661865, 1.0029003620147705, 0.9962654709815979, 0.9897343516349792, 0.9831843972206116, 0.9768422245979309, 0.9705926775932312, 0.9644933342933655, 0.9584206938743591, 0.9523876309394836, 0.9460126757621765, 0.9401713013648987, 0.9344313740730286, 0.9287686944007874, 0.9231820702552795, 0.9176291823387146, 0.9121904969215393, 0.9067085385322571, 0.9014039635658264, 0.8961687684059143, 0.8909013867378235, 0.885795533657074, 0.8807529807090759, 0.8757738471031189, 0.8708582520484924, 0.8660208582878113, 0.8612266182899475, 0.8563471436500549, 0.8515751957893372, 0.8470026850700378, 0.8424400687217712, 0.8379749655723572, 0.8335235714912415, 0.8291235566139221, 0.8248034119606018, 0.8205035328865051, 0.8162530064582825, 0.8120165467262268, 0.8078636527061462, 0.8037615418434143, 0.7997984290122986, 0.7957324385643005, 0.7917757630348206, 0.7878666520118713, 0.7840009331703186, 0.7801796793937683, 0.7765104174613953, 0.772778332233429, 0.768960177898407, 0.7653115391731262, 0.7617048621177673, 0.758137047290802, 0.7546097636222839, 0.7511236071586609, 0.7476739287376404, 0.7442650198936462, 0.7408937811851501, 0.7375596165657043, 0.7342613339424133, 0.731002151966095, 0.7277764678001404, 0.7245859503746033, 0.7214310765266418, 0.7183211445808411, 0.715232789516449, 0.7121798396110535, 0.7091585993766785, 0.7063027024269104, 0.7033483386039734, 0.7004260420799255, 0.6975367665290833, 0.6946776509284973, 0.6918496489524841, 0.6889223456382751, 0.6861549019813538, 0.6834158301353455, 0.6807060837745667, 0.6780263781547546, 0.6753730177879333, 0.6727483868598938, 0.6701505780220032, 0.6676257252693176, 0.6651067137718201, 0.6627325415611267, 0.6602433323860168, 0.6577797532081604, 0.6553394198417664, 0.652923047542572, 0.6505109667778015, 0.6481409668922424, 0.6457942128181458, 0.6434691548347473, 0.6411686539649963, 0.6388882994651794, 0.6366288065910339, 0.6343920826911926, 0.6321744322776794, 0.6300113797187805, 0.627833902835846, 0.625674307346344, 0.623538076877594, 0.6214192509651184, 0.6193200945854187, 0.6172394156455994, 0.6151793599128723, 0.6131355166435242, 0.611110508441925, 0.608825147151947, 0.6068322062492371, 0.6048576235771179, 0.6028247475624084, 0.6008849740028381, 0.5989612936973572, 0.5970554947853088, 0.5951676964759827, 0.593298614025116, 0.591487467288971, 0.5896527171134949, 0.5878342986106873, 0.5860657095909119, 0.5842835307121277, 0.5825163722038269, 0.5807668566703796, 0.5790337920188904, 0.5773181319236755, 0.57561856508255, 0.5739358067512512, 0.5722704529762268, 0.5706194043159485, 0.5689701437950134, 0.567350447177887, 0.565746009349823, 0.5641565918922424, 0.5625819563865662, 0.5610244870185852, 0.5594791769981384, 0.5579913258552551, 0.5564747452735901, 0.5549713969230652, 0.5534816384315491, 0.5520063042640686, 0.5505439639091492, 0.549096405506134, 0.5476579070091248, 0.5462343096733093, 0.5448220372200012, 0.5434221625328064, 0.542033851146698, 0.5406566262245178, 0.5392914414405823, 0.5379363894462585, 0.5365931391716003, 0.5352583527565002, 0.5339363217353821, 0.5326234698295593, 0.5313208699226379, 0.5300280451774597, 0.5286235213279724, 0.5273512005805969, 0.5260874629020691, 0.5248323082923889, 0.5235864520072937, 0.5223488211631775, 0.5211198925971985, 0.519900381565094, 0.5186892151832581, 0.5174856781959534, 0.5162907242774963, 0.5149427056312561, 0.513763964176178, 0.5125934481620789, 0.5114304423332214, 0.5102757811546326, 0.5092242360115051, 0.5080835223197937, 0.5069497227668762, 0.5056717991828918, 0.5045550465583801, 0.5034460425376892, 0.5023455023765564, 0.5012534260749817, 0.5001655220985413, 0.4990859627723694, 0.4980136752128601, 0.49695008993148804, 0.49574047327041626, 0.494689404964447, 0.49364596605300903, 0.4926087260246277, 0.49157947301864624, 0.4905572533607483, 0.4895443320274353, 0.488536536693573, 0.48753637075424194, 0.4865444302558899, 0.48463577032089233, 0.48366445302963257, 0.48270004987716675, 0.48174434900283813, 0.4807942509651184, 0.4798538088798523, 0.47892147302627563, 0.47799593210220337, 0.4770790934562683, 0.47616881132125854, 0.47526758909225464, 0.47437578439712524, 0.4734908938407898, 0.47261399030685425, 0.47174638509750366, 0.470885694026947, 0.4701243042945862, 0.4692818522453308, 0.46844547986984253, 0.4679364562034607, 0.4671180844306946, 0.4663086533546448, 0.4655076861381531, 0.46471601724624634, 0.46393293142318726, 0.4631583094596863, 0.46239274740219116, 0.46163636445999146, 0.4608878493309021, 0.46044355630874634, 0.45971399545669556, 0.4589924216270447, 0.4583013653755188, 0.45759421586990356, 0.4568977952003479, 0.45620840787887573, 0.45552700757980347, 0.4548552632331848, 0.4541923403739929, 0.4535365700721741, 0.45288950204849243, 0.4522084593772888, 0.4515780806541443, 0.4509548544883728, 0.45033925771713257, 0.4497310519218445, 0.4491294026374817, 0.4485355019569397, 0.4479476809501648, 0.4473680853843689, 0.4467948079109192, 0.4460487961769104, 0.4456515908241272, 0.44509822130203247, 0.44455140829086304, 0.4440472722053528, 0.44351381063461304, 0.44298630952835083, 0.442465603351593, 0.4421476721763611, 0.44163817167282104, 0.44110435247421265, 0.44060200452804565, 0.4401116967201233, 0.43957942724227905, 0.4391011595726013, 0.43862849473953247, 0.4381621479988098, 0.4377010464668274, 0.4372459053993225, 0.43679648637771606, 0.4363510012626648, 0.4359120726585388, 0.4353561997413635, 0.43492943048477173, 0.43450671434402466, 0.43409043550491333, 0.43367892503738403, 0.4332720637321472, 0.432870090007782, 0.4324726462364197, 0.43208032846450806, 0.43169206380844116, 0.4313097596168518, 0.4309313893318176, 0.4305568337440491], forces=[(-0.0007065678364597261, 0.005399547982960939, 0.0009708970319479704), (-0.019441261887550354, 0.004236429929733276, 0.03445376083254814), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (3.723272675415501e-05, 0.00434599444270134, -0.0005617171409539878), (-0.009603974409401417, -0.0004388342204038054, 0.04799243062734604), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003220896003767848, -0.005315057002007961, 0.00884847529232502), (-0.005240294151008129, 0.0025318374391645193, 0.031599465757608414), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014002702198922634, -0.018324967473745346, -0.02526986598968506), (0.012668880634009838, 0.0059151416644454, 0.04437371343374252), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004751821514219046, 0.00446894159540534, -0.0046684639528393745), (0.030105093494057655, -0.005977757275104523, 0.05221157893538475), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0031686739530414343, -0.0014829483116045594, 0.002437202027067542), (0.002434255089610815, -1.8318974071007688e-06, 0.03198644891381264), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009477692656219006, -0.013838425278663635, -0.021310878917574883), (-0.035394396632909775, 0.02157471515238285, -0.07842621207237244), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0041694301180541515, 0.0018523370381444693, -0.005298356991261244), (0.018127553164958954, -0.10854648798704147, 0.0209993626922369), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.016258489340543747, 0.009220138192176819, -0.01237442996352911), (-0.0016991663724184036, -0.033546082675457, 0.028577255085110664), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.09224119037389755, -0.11272195726633072, 0.05321003496646881), (-0.011202787049114704, -0.012922810390591621, -0.09892528504133224)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=20, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.818767786026001, 0.004493786953389645, 16.89743423461914), (1.3954782485961914, 1.3896013498306274, 18.8338565826416), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.807098388671875, 2.8483548164367676, 16.95915985107422), (1.2083765268325806, 4.227790355682373, 19.037261962890625), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8041508197784424, 5.616301536560059, 16.95884895324707), (1.390302300453186, 7.087913990020752, 18.81954574584961), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.642336368560791, 0.005327112507075071, 16.888240814208984), (4.233991622924805, 1.3918291330337524, 18.831209182739258), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.621644496917725, 2.8424558639526367, 16.932283401489258), (4.268308639526367, 4.236567974090576, 18.98617172241211), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6210408210754395, 5.631757736206055, 16.9216365814209), (4.2322096824646, 7.075120449066162, 18.826990127563477), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.451659202575684, 0.01256604678928852, 16.887983322143555), (7.038309574127197, 1.4006953239440918, 18.83851432800293), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.477887153625488, 2.8548898696899414, 16.953453063964844), (6.99683952331543, 4.24245023727417, 18.87217903137207), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.466658592224121, 5.631487846374512, 16.931203842163086), (7.038309574127197, 7.073512554168701, 18.831756591796875), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (2.5975399017333984, 4.324336051940918, 20.56450843811035), (2.5550107955932617, 5.26940393447876, 20.842178344726562)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5018922686576843, energy_trajectory=[1.207524061203003, 1.1950535774230957, 1.1859848499298096, 1.1775288581848145, 1.1692025661468506, 1.161008596420288, 1.1527409553527832, 1.1450839042663574, 1.1369590759277344, 1.1290411949157715, 1.1210215091705322, 1.1131658554077148, 1.1054878234863281, 1.0977914333343506, 1.0900204181671143, 1.0821068286895752, 1.0744597911834717, 1.0668091773986816, 1.0594260692596436, 1.0523366928100586, 1.045480728149414, 1.038708209991455, 1.032374382019043, 1.0262486934661865, 1.02028226852417, 1.0145268440246582, 1.0090410709381104, 1.0036311149597168, 0.9982298016548157, 0.993143618106842, 0.9881935715675354, 0.9833613038063049, 0.9787300229072571, 0.9741820693016052, 0.969755232334137, 0.9655880331993103, 0.9613237977027893, 0.9572368264198303, 0.9532553553581238, 0.9493754506111145, 0.9455994963645935, 0.941973865032196, 0.9383880496025085, 0.9348989129066467, 0.9313153624534607, 0.9279976487159729, 0.9247646927833557, 0.9222604632377625, 0.919165313243866, 0.9161698222160339, 0.9132471680641174, 0.9103203415870667, 0.9076533913612366, 0.9050412774085999, 0.9025048613548279, 0.9000547528266907, 0.8976889252662659, 0.8954010605812073, 0.8931627869606018, 0.8908025622367859, 0.888816773891449, 0.8867198824882507, 0.8847704529762268, 0.8828813433647156, 0.881044328212738, 0.8792571425437927, 0.8775158524513245, 0.8758184313774109, 0.8741610646247864, 0.8726415038108826, 0.8710228800773621, 0.8695607781410217, 0.8680362105369568, 0.8664315342903137, 0.8649607300758362, 0.8635132908821106, 0.8620838522911072, 0.8606708645820618, 0.8593030571937561, 0.8579185605049133, 0.8565433621406555, 0.8551792502403259, 0.8538233637809753, 0.8524762988090515, 0.8511341214179993, 0.8498000502586365, 0.8484700322151184, 0.8469979166984558, 0.8456729054450989, 0.844352662563324, 0.843035876750946, 0.8417232632637024, 0.8404706120491028, 0.8391641974449158, 0.8378604054450989, 0.836560070514679, 0.8351114392280579, 0.8338165879249573, 0.8325260281562805, 0.8312122225761414, 0.8299238085746765, 0.8286375403404236, 0.8273548483848572, 0.8260727524757385, 0.8247944712638855, 0.8235176205635071, 0.8222429156303406, 0.8209698796272278, 0.8188825249671936, 0.8176102042198181, 0.8163383603096008, 0.8150679469108582, 0.8137986063957214, 0.8125281929969788, 0.8112596869468689, 0.8100998997688293, 0.8088273406028748, 0.8075540661811829, 0.8062782883644104, 0.8050010800361633, 0.8037192225456238, 0.8024353384971619, 0.8011471629142761, 0.7998562455177307, 0.7985594868659973, 0.7972603440284729, 0.7959572672843933, 0.7946489453315735, 0.7933350205421448, 0.79201740026474, 0.7906357645988464, 0.7893056273460388, 0.7879710793495178, 0.7866314053535461, 0.785287082195282, 0.7839381098747253, 0.7825854420661926, 0.7812281250953674, 0.779866635799408, 0.778501570224762, 0.777133047580719, 0.7757599949836731, 0.7743844389915466, 0.773004949092865, 0.7716212868690491, 0.7702334523200989, 0.7688435912132263, 0.7674490809440613, 0.7669323086738586, 0.7655425667762756, 0.7641510367393494, 0.7627556920051575, 0.7613562941551208, 0.7605096697807312, 0.7591015696525574, 0.7576882243156433, 0.756269633769989, 0.7548472285270691, 0.7534177899360657, 0.7519823908805847, 0.7505406737327576, 0.7490918040275574, 0.747636616230011, 0.7461735606193542, 0.7447031140327454, 0.7433556914329529, 0.7418702244758606, 0.7403771281242371, 0.7388748526573181, 0.737363874912262, 0.7358458638191223, 0.7343177199363708, 0.7328475117683411, 0.7313032746315002, 0.7297500967979431, 0.728187620639801, 0.7266164422035217, 0.7250353693962097, 0.72344571352005, 0.7218461632728577, 0.7202381491661072, 0.718620240688324, 0.7169932723045349, 0.7153562903404236, 0.7137108445167542, 0.711799681186676, 0.7100006937980652, 0.7083286643028259, 0.7066484093666077, 0.7049594521522522, 0.703262984752655, 0.7015590071678162, 0.6998488306999207, 0.6981313824653625, 0.6964076161384583, 0.6946931481361389, 0.6929611563682556, 0.6912241578102112, 0.6894816756248474, 0.6877347826957703, 0.6859834790229797, 0.6842285990715027, 0.6824700236320496, 0.6807071566581726, 0.6789410710334778, 0.6770539879798889, 0.6752757430076599, 0.6734940409660339, 0.6717086434364319, 0.6698822379112244, 0.6680966019630432, 0.6663056015968323, 0.6645097136497498, 0.6627072691917419, 0.6609001755714417, 0.6590885519981384, 0.6572718024253845, 0.6554511189460754, 0.6536257863044739, 0.6518661379814148, 0.6500346064567566, 0.6481456160545349, 0.6463084816932678, 0.644467294216156, 0.6426262259483337, 0.6407830119132996, 0.638938844203949, 0.6371600031852722, 0.6353160738945007, 0.6334714293479919, 0.6316259503364563, 0.6297792792320251, 0.6279308199882507, 0.6260822415351868, 0.6242319941520691, 0.6223781704902649, 0.6205237507820129, 0.6186657547950745, 0.6168064475059509, 0.6149434447288513, 0.6130771040916443, 0.611208975315094, 0.609338104724884, 0.6075015664100647, 0.6056244969367981, 0.6037450432777405, 0.6018630862236023, 0.599979817867279, 0.5980933308601379, 0.596203625202179, 0.594312846660614, 0.5924188494682312, 0.5905235409736633, 0.5886253714561462, 0.5867251753807068, 0.5848221182823181, 0.5829169154167175, 0.5810057520866394, 0.5781295895576477, 0.5762166380882263, 0.5743017792701721, 0.5723870396614075, 0.5704166293144226, 0.5684962868690491, 0.5668128132820129, 0.5648916363716125, 0.5629715323448181, 0.5610520243644714, 0.5591344237327576, 0.5572180151939392, 0.5553051829338074, 0.5533940196037292, 0.5514872670173645, 0.5495831370353699, 0.5476836562156677, 0.5457872748374939, 0.5438777804374695, 0.5421186089515686, 0.5402362942695618, 0.5383582711219788, 0.5364839434623718, 0.5346147418022156, 0.53275066614151, 0.5308908820152283, 0.5290367007255554, 0.5271877646446228, 0.5253444314002991, 0.5235061049461365, 0.5216735005378723, 0.5198473334312439, 0.5180279612541199, 0.5162165760993958, 0.5144138932228088, 0.5126197934150696, 0.5107999444007874, 0.5090283751487732, 0.5072694420814514, 0.5055237412452698, 0.5037913918495178, 0.5018922686576843], forces=[(-0.009299610741436481, -0.0072779469192028046, 0.01578064076602459), (-0.01676035299897194, 0.005719475448131561, 0.052472710609436035), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009421870112419128, -0.008739777840673923, 0.003042284632101655), (-0.0012693912722170353, -0.006204354576766491, -0.17980815470218658), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011400939896702766, 0.0008243010379374027, -0.007234449964016676), (-0.010848105885088444, -0.04655688628554344, 0.07914741337299347), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005736873485147953, 0.001631023595109582, 0.013421887531876564), (-0.02231348119676113, 0.008343512192368507, 0.06326303631067276), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05144444480538368, 0.019764458760619164, 0.050736282020807266), (-0.08830124139785767, 0.036069922149181366, 0.16378407180309296), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.031487833708524704, -0.006550216116011143, 0.03581298887729645), (-0.015284230001270771, 0.00012142555351601914, 0.06029276177287102), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0008041229448281229, -0.015592183917760849, 0.014600989408791065), (-0.003856627270579338, 0.002552496502175927, 0.05324876680970192), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.07653884589672089, -0.04741847515106201, -0.056740373373031616), (-0.030936380848288536, -0.007279274985194206, 0.06253743916749954), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.040486160665750504, 0.004383443854749203, -0.002868245355784893), (0.0015258397907018661, -0.004772444721311331, 0.058486007153987885), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.3587089478969574, 0.03955281525850296, -0.24329623579978943), (0.16481176018714905, -0.1280258148908615, -0.011373483575880527)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=21, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8231093883514404, -0.014178834855556488, 16.89725112915039), (1.3938703536987305, 1.3576924800872803, 18.815319061279297), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.837165355682373, 2.836019277572632, 16.966487884521484), (1.356431245803833, 4.24888801574707, 19.01552391052246), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8314285278320312, 5.6154680252075195, 16.949321746826172), (1.4240169525146484, 7.059113502502441, 18.856746673583984), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.658168792724609, -0.024393171072006226, 16.8853702545166), (4.2749433517456055, 1.3347300291061401, 18.80683708190918), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.657069683074951, 2.8153083324432373, 16.918872833251953), (4.425149440765381, 4.290755271911621, 18.957555770874023), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.646359443664551, 5.603524684906006, 16.947696685791016), (4.2483930587768555, 7.060220241546631, 18.845813751220703), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.461749076843262, -0.022446289658546448, 16.890621185302734), (7.067127704620361, 1.3843971490859985, 18.84077262878418), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.49096965789795, 2.822052478790283, 16.925029754638672), (7.112623691558838, 4.204154014587402, 18.882596969604492), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.499651908874512, 5.607118129730225, 16.954809188842773), (7.071676254272461, 7.058510780334473, 18.8497371673584), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (3.0163190364837646, 3.8017578125, 20.425691604614258), (3.125187873840332, 4.375473499298096, 21.214750289916992)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5863935351371765, energy_trajectory=[1.3840162754058838, 1.371450424194336, 1.3596656322479248, 1.348356008529663, 1.3375051021575928, 1.3270831108093262, 1.317051649093628, 1.3073704242706299, 1.2979061603546143, 1.288726568222046, 1.2800214290618896, 1.2713549137115479, 1.2630231380462646, 1.254746913909912, 1.2465417385101318, 1.238480567932129, 1.2306983470916748, 1.2230103015899658, 1.2154974937438965, 1.2080819606781006, 1.2007882595062256, 1.1931185722351074, 1.186048984527588, 1.1790926456451416, 1.1722464561462402, 1.16560959815979, 1.158975601196289, 1.1524431705474854, 1.1460497379302979, 1.1392896175384521, 1.132948875427246, 1.1267848014831543, 1.1204793453216553, 1.1144897937774658, 1.108583927154541, 1.1028079986572266, 1.0970654487609863, 1.0914027690887451, 1.085824966430664, 1.0803132057189941, 1.0750353336334229, 1.069678544998169, 1.0644268989562988, 1.0592083930969238, 1.054060697555542, 1.0489859580993652, 1.0439786911010742, 1.0389676094055176, 1.034095048904419, 1.0292894840240479, 1.024498462677002, 1.0198264122009277, 1.0152170658111572, 1.0106744766235352, 1.0059568881988525, 1.0014665126800537, 0.9971216320991516, 0.9916637539863586, 0.9873730540275574, 0.9832212328910828, 0.9791161417961121, 0.9750803112983704, 0.9711307883262634, 0.9672147631645203, 0.9633566737174988, 0.9595535397529602, 0.9557955861091614, 0.9531990885734558, 0.949553906917572, 0.945964515209198, 0.9424272179603577, 0.9389426112174988, 0.9355096220970154, 0.9321271777153015, 0.9289018511772156, 0.9256158471107483, 0.9223831295967102, 0.9191974997520447, 0.9160599112510681, 0.912968099117279, 0.9099231362342834, 0.9069214463233948, 0.9039531350135803, 0.901039183139801, 0.8981671929359436, 0.8953374028205872, 0.892484724521637, 0.8897376656532288, 0.887029230594635, 0.8843606114387512, 0.8817294239997864, 0.8791359066963196, 0.8765783905982971, 0.8740569949150085, 0.8715700507164001, 0.8691173195838928, 0.8666988015174866, 0.8643121123313904, 0.8619583249092102, 0.8596357703208923, 0.857341468334198, 0.8550768494606018, 0.8528408408164978, 0.8505941033363342, 0.8487086892127991, 0.8465490937232971, 0.8444154858589172, 0.8423054814338684, 0.8402203917503357, 0.8381564021110535, 0.8361164927482605, 0.8340978026390076, 0.8320942521095276, 0.8303192257881165, 0.8283607363700867, 0.8270235657691956, 0.8251050114631653, 0.8229942917823792, 0.8211129307746887, 0.8192048668861389, 0.8173597455024719, 0.8155305981636047, 0.8137180209159851, 0.8119199872016907, 0.8101368546485901, 0.8083688616752625, 0.8066138625144958, 0.8048737645149231, 0.8031472563743591, 0.8014323115348816, 0.7996845841407776, 0.797996461391449, 0.796320378780365, 0.7946569323539734, 0.7930040955543518, 0.7913637757301331, 0.7897345423698425, 0.7881153225898743, 0.7865056395530701, 0.7849083542823792, 0.7833208441734314, 0.7817421555519104, 0.7801719307899475, 0.7786768078804016, 0.7771229147911072, 0.7755786776542664, 0.7740411162376404, 0.772513210773468, 0.7709922194480896, 0.7694782614707947, 0.7672470211982727, 0.7657553553581238, 0.7642690539360046, 0.7627901434898376, 0.7613173127174377, 0.7598503232002258, 0.758389413356781, 0.7569347023963928, 0.7554848790168762, 0.7540406584739685, 0.7526018023490906, 0.7511674761772156, 0.7497383952140808, 0.7483139634132385, 0.7468939423561096, 0.745300829410553, 0.7438871264457703, 0.7424784302711487, 0.7410741448402405, 0.7396737933158875, 0.7382212281227112, 0.7368304133415222, 0.7354432940483093, 0.734059751033783, 0.7326797842979431, 0.7313048243522644, 0.7299327254295349, 0.7285662293434143, 0.7272034287452698, 0.7256467938423157, 0.7242917418479919, 0.7229412198066711, 0.7215952277183533, 0.7202532887458801, 0.7189310193061829, 0.7175969481468201, 0.7162672877311707, 0.7149402499198914, 0.7136163115501404, 0.7121894955635071, 0.7108758091926575, 0.7097726464271545, 0.708469569683075, 0.7071695923805237, 0.705871045589447, 0.7048532366752625, 0.7035598158836365, 0.7022693753242493, 0.7009819149971008, 0.6996962428092957, 0.6984134316444397, 0.6971319317817688, 0.695853054523468, 0.6945766806602478, 0.6933020949363708, 0.6921301484107971, 0.6908606886863708, 0.6895924210548401, 0.6883247494697571, 0.6870597004890442, 0.6857962012290955, 0.6844227910041809, 0.6831640601158142, 0.6819078326225281, 0.6806532740592957, 0.6794018149375916, 0.6781534552574158, 0.6769071221351624, 0.6756641268730164, 0.6744233965873718, 0.6730671525001526, 0.6718296408653259, 0.6705952286720276, 0.6693649888038635, 0.6681368947029114, 0.6669135689735413, 0.6658995747566223, 0.6646835207939148, 0.6634723544120789, 0.6622641682624817, 0.6610590815544128, 0.6598585247993469, 0.6586610674858093, 0.6574673056602478, 0.6562787890434265, 0.6550927758216858, 0.6539114117622375, 0.6527336239814758, 0.6515602469444275, 0.6503898501396179, 0.6492249369621277, 0.6478505730628967, 0.6466943621635437, 0.6455420851707458, 0.6443933844566345, 0.6432484984397888, 0.6421074271202087, 0.6409704089164734, 0.6398375630378723, 0.6387082934379578, 0.6375835537910461, 0.6364616751670837, 0.6353445649147034, 0.6342310309410095, 0.6331211924552917, 0.63201504945755, 0.6309114098548889, 0.6298125386238098, 0.6287170052528381, 0.6276246905326843, 0.6265361905097961, 0.6254503130912781, 0.624367892742157, 0.623378336429596, 0.6223006844520569, 0.6212257742881775, 0.6201546788215637, 0.619087278842926, 0.6180221438407898, 0.616960346698761, 0.6159018874168396, 0.614846408367157, 0.6137945055961609, 0.6127449870109558, 0.6116988062858582, 0.6106550097465515, 0.6096140742301941, 0.6085774302482605, 0.6075423359870911, 0.6065104603767395, 0.6054807305335999, 0.6044546961784363, 0.6034312844276428, 0.6024104952812195, 0.6013911366462708, 0.6003755927085876, 0.599362313747406, 0.5983512997627258, 0.5973438620567322, 0.5963373780250549, 0.5953333973884583, 0.5943313241004944, 0.5933324694633484, 0.5923345685005188, 0.5913391709327698, 0.5903462767601013, 0.589354932308197, 0.5883657336235046, 0.5873784422874451, 0.5863935351371765], forces=[(0.00672780629247427, 0.002962846541777253, 0.0019148570718243718), (0.0324457585811615, 0.029045289382338524, 0.05762558802962303), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008555467240512371, 0.010144378989934921, 0.0002960836864076555), (0.03819004446268082, -0.0058896103873848915, 0.006528045982122421), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012094092555344105, -0.007680762559175491, 0.015146498568356037), (0.00802426878362894, -0.008379830978810787, 0.031697340309619904), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0027233229484409094, 0.006032674107700586, -0.0017282236367464066), (-0.013632377609610558, 0.06373397260904312, 0.050727974623441696), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003725964343175292, 0.010153817012906075, 0.012927756644785404), (-0.0801643431186676, -0.03970814868807793, 0.06962189078330994), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.03280660882592201, 0.025888592004776, -0.025235852226614952), (0.010992465540766716, -0.006057747174054384, 0.03789307177066803), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011163821443915367, 0.002672376576811075, 0.001983524765819311), (0.0009347973391413689, -0.004502462688833475, 0.03300582617521286), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0038758874870836735, -0.0016756133409217, 0.005484376568347216), (-0.011502949520945549, -0.00037721690023317933, 0.033370159566402435), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0013160068774595857, 0.007141415495425463, -0.0022501028142869473), (0.002383272163569927, -0.008874117396771908, 0.03206373006105423), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.16644996404647827, 0.05762629210948944, 0.05659032613039017), (-0.1709297150373459, 0.18212957680225372, -0.20570461452007294)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=22, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.831423044204712, -0.005202915519475937, 16.899694442749023), (1.4559788703918457, 1.4090110063552856, 18.830516815185547), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8363609313964844, 2.821428060531616, 16.89072036743164), (1.4418790340423584, 4.219388961791992, 18.839637756347656), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8362739086151123, 5.627035140991211, 16.887197494506836), (1.4493407011032104, 7.022892951965332, 18.821279525756836), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.673828125, -0.009868541732430458, 16.96070671081543), (4.22305154800415, 1.4091871976852417, 18.838048934936523), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.673476219177246, 2.794126510620117, 16.94536590576172), (4.227967739105225, 4.2212114334106445, 18.84568214416504), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.672903537750244, 5.643647193908691, 16.942846298217773), (4.214457035064697, 7.033606052398682, 18.834402084350586), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.44622802734375, -0.011990983039140701, 16.956621170043945), (7.079927444458008, 1.5141024589538574, 19.001981735229492), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.461713790893555, 2.7985901832580566, 16.930011749267578), (7.0718512535095215, 4.201298713684082, 18.8783016204834), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.459891319274902, 5.635501861572266, 16.924379348754883), (7.049588203430176, 6.882227420806885, 18.99083709716797), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (7.129390716552734, 8.411526679992676, 20.455888748168945), (8.07984447479248, 8.418086051940918, 20.715267181396484)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.42239266633987427, energy_trajectory=[1.4126126766204834, 1.395864725112915, 1.3836066722869873, 1.372039556503296, 1.3610928058624268, 1.3508005142211914, 1.3411412239074707, 1.3318192958831787, 1.322730541229248, 1.314122200012207, 1.3057489395141602, 1.297654628753662, 1.2897043228149414, 1.2818844318389893, 1.2742633819580078, 1.266728401184082, 1.2592651844024658, 1.2519068717956543, 1.2444849014282227, 1.2374382019042969, 1.2302536964416504, 1.223311185836792, 1.2163481712341309, 1.209545612335205, 1.2027826309204102, 1.1961033344268799, 1.1894774436950684, 1.1829001903533936, 1.1763718128204346, 1.1698789596557617, 1.1634249687194824, 1.1570096015930176, 1.1506261825561523, 1.1442697048187256, 1.1380455493927002, 1.1317460536956787, 1.1254749298095703, 1.1192262172698975, 1.113006353378296, 1.1067979335784912, 1.1005895137786865, 1.0944397449493408, 1.0883100032806396, 1.0821952819824219, 1.0760996341705322, 1.070016860961914, 1.0639498233795166, 1.057896614074707, 1.0519778728485107, 1.0459487438201904, 1.0398974418640137, 1.0332422256469727, 1.0272464752197266, 1.0212578773498535, 1.0152859687805176, 1.0093262195587158, 1.0034043788909912, 0.9974598288536072, 0.9914870858192444, 0.9855608344078064, 0.9796451926231384, 0.9737405180931091, 0.9675890803337097, 0.9617019295692444, 0.955827534198761, 0.9498959183692932, 0.944039523601532, 0.9381936192512512, 0.9323564171791077, 0.926666796207428, 0.9206766486167908, 0.9148702025413513, 0.9090736508369446, 0.9032877087593079, 0.8975140452384949, 0.8917520642280579, 0.8860000967979431, 0.8802134394645691, 0.8744834065437317, 0.8687646985054016, 0.8630635142326355, 0.857376754283905, 0.8517025113105774, 0.8457034230232239, 0.8400679230690002, 0.8344618678092957, 0.8290660977363586, 0.8235991597175598, 0.8181996941566467, 0.8128637671470642, 0.8075910210609436, 0.8023806214332581, 0.7972326874732971, 0.7921404242515564, 0.787109911441803, 0.7821367383003235, 0.7772218585014343, 0.7723618149757385, 0.7675536274909973, 0.7628019452095032, 0.7581027150154114, 0.75345379114151, 0.7488109469413757, 0.7442612051963806, 0.7398759722709656, 0.7352994084358215, 0.7309747338294983, 0.7266121506690979, 0.7222941517829895, 0.7180574536323547, 0.7138312458992004, 0.7096503376960754, 0.7055128216743469, 0.7014208436012268, 0.6973711848258972, 0.6933637261390686, 0.689397394657135, 0.6854714751243591, 0.6815904974937439, 0.6777498126029968, 0.6739502549171448, 0.6701913475990295, 0.6664724946022034, 0.6626378893852234, 0.659267008304596, 0.6556716561317444, 0.6529683470726013, 0.6494553685188293, 0.6459768414497375, 0.6425376534461975, 0.6391344666481018, 0.6358408331871033, 0.6325107216835022, 0.6292163729667664, 0.6259612441062927, 0.6225908398628235, 0.6193705201148987, 0.6162288784980774, 0.6131014227867126, 0.6100299954414368, 0.6069669127464294, 0.6039664149284363, 0.6010003685951233, 0.5980681777000427, 0.5950787663459778, 0.5923903584480286, 0.5895553231239319, 0.5867553353309631, 0.5839875340461731, 0.5812544226646423, 0.5785539746284485, 0.5758872628211975, 0.5732536911964417, 0.5706529021263123, 0.5680838227272034, 0.5655487179756165, 0.563045084476471, 0.5605745911598206, 0.5581358075141907, 0.555728018283844, 0.5533528923988342, 0.5510069727897644, 0.5490263104438782, 0.5467421412467957, 0.5444878935813904, 0.5422652363777161, 0.5400733351707458, 0.537778913974762, 0.5356491208076477, 0.5335491299629211, 0.531140148639679, 0.5291138291358948, 0.5271157622337341, 0.5251485705375671, 0.5228788256645203, 0.5209686160087585, 0.5190840363502502, 0.5172292590141296, 0.5153998732566833, 0.5135952830314636, 0.5117647051811218, 0.5100149512290955, 0.5082919001579285, 0.5065917372703552, 0.5049182772636414, 0.5032690167427063, 0.5016433596611023, 0.5000408291816711, 0.4984627366065979, 0.49690765142440796, 0.49537497758865356, 0.4938647150993347, 0.4923282265663147, 0.4908650517463684, 0.48942381143569946, 0.4880039095878601, 0.486605703830719, 0.4852296710014343, 0.4838743805885315, 0.48253947496414185, 0.4812261462211609, 0.47993355989456177, 0.4786604046821594, 0.47741037607192993, 0.4760381579399109, 0.47482746839523315, 0.47363609075546265, 0.47246497869491577, 0.47131210565567017, 0.47017842531204224, 0.46906358003616333, 0.4679660201072693, 0.4667835831642151, 0.46572333574295044, 0.46468132734298706, 0.4639628529548645, 0.4629550576210022, 0.461963951587677, 0.4609892964363098, 0.4600312113761902, 0.45896297693252563, 0.4580363631248474, 0.4571240544319153, 0.4562299847602844, 0.4553493857383728, 0.4544838070869446, 0.4536316990852356, 0.45279496908187866, 0.45197194814682007, 0.4511633515357971, 0.4503691792488098, 0.44962388277053833, 0.44885534048080444, 0.4481019377708435, 0.4473605751991272, 0.44663316011428833, 0.4458802342414856, 0.44518011808395386, 0.44449299573898315, 0.44381946325302124, 0.4431590437889099, 0.44251102209091187, 0.4418765902519226, 0.44125479459762573, 0.44046837091445923, 0.4398741126060486, 0.43929189443588257, 0.43872398138046265, 0.4381677508354187, 0.43762582540512085, 0.4370958209037781, 0.4365771412849426, 0.43612462282180786, 0.43563300371170044, 0.43515413999557495, 0.43433767557144165, 0.43388205766677856, 0.43343669176101685, 0.4330022931098938, 0.4325101971626282, 0.4320991635322571, 0.4316982626914978, 0.4311646819114685, 0.4307160973548889, 0.4303428530693054, 0.42998045682907104, 0.4296249747276306, 0.4292789101600647, 0.4289410710334778, 0.42861098051071167, 0.428288996219635, 0.42797476053237915, 0.4276120066642761, 0.4273146986961365, 0.42702382802963257, 0.42646902799606323, 0.426194965839386, 0.4264419674873352, 0.42618149518966675, 0.4259268641471863, 0.425680935382843, 0.4254400134086609, 0.4252074360847473, 0.4249820113182068, 0.42473095655441284, 0.42451757192611694, 0.42431074380874634, 0.4241099953651428, 0.42391663789749146, 0.4237287640571594, 0.4235491156578064, 0.4233739972114563, 0.4232061505317688, 0.4230439066886902, 0.4230418801307678, 0.42292946577072144, 0.4227864146232605, 0.42264872789382935, 0.4225178360939026, 0.42239266633987427], forces=[(-0.011584690771996975, -0.002312679309397936, 0.010314644314348698), (-0.05303353816270828, -0.015198487788438797, 0.05412420630455017), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013609202578663826, -0.0035606909077614546, 0.006505994126200676), (-0.007599852979183197, -0.0020313106942921877, 0.038318585604429245), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014016633853316307, 0.00677281292155385, 0.0123875318095088), (-0.04906655102968216, 0.021530525758862495, 0.06783610582351685), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005936389323323965, -0.0010321361478418112, -0.005688465666025877), (-0.004686825443059206, 0.0031199310906231403, 0.03164251521229744), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03355684131383896, 0.029388844966888428, -0.042972367256879807), (0.0020289598032832146, 0.0010984593536704779, 0.03332088515162468), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.032151687890291214, -0.017066143453121185, -0.033952079713344574), (0.006008935160934925, -0.004270770121365786, 0.036959316581487656), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007334538735449314, 0.001666727475821972, 0.009655891917645931), (-0.04468540847301483, -0.04212908819317818, -0.0576358437538147), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004348641261458397, 0.006450840272009373, -0.00438180286437273), (-0.013141589239239693, 0.02653077431023121, 0.023862777277827263), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0061141811311244965, 0.007648810278624296, 0.01192609965801239), (0.007851015776395798, 0.09243211150169373, -0.026359017938375473), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0976301059126854, 0.08668004721403122, -0.062148984521627426), (-0.0824388787150383, -0.02526266500353813, 0.09419704973697662)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=23, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8422539234161377, 0.053978655487298965, 16.890132904052734), (1.4093466997146606, 1.4368774890899658, 18.87504768371582), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7978639602661133, 2.8842711448669434, 16.98670196533203), (1.5323008298873901, 4.253438949584961, 18.97828483581543), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8344151973724365, 5.664122104644775, 16.917285919189453), (1.4733562469482422, 7.178465843200684, 18.797733306884766), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.634748935699463, 0.037715837359428406, 16.898399353027344), (4.239281177520752, 1.4196020364761353, 18.873577117919922), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.666654109954834, 2.870061159133911, 16.973817825317383), (4.2621684074401855, 4.269475936889648, 18.89647674560547), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.651688098907471, 5.656306266784668, 16.922542572021484), (4.244959354400635, 7.087959289550781, 18.85822296142578), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.462027549743652, 0.03462887927889824, 16.902488708496094), (7.056535720825195, 1.428985357284546, 18.8746337890625), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.465400695800781, 2.8567633628845215, 16.952993392944336), (7.021805763244629, 4.2870001792907715, 18.986299514770508), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.473905563354492, 5.652751922607422, 16.94672393798828), (7.022115230560303, 7.144235610961914, 18.821491241455078), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (0.19407916069030762, 4.898903846740723, 20.45979118347168), (0.23314954340457916, 5.903983116149902, 20.42180824279785)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.735374391078949, energy_trajectory=[2.2942254543304443, 2.2695095539093018, 2.2493820190429688, 2.231086492538452, 2.2140142917633057, 2.1974430084228516, 2.1814355850219727, 2.1657285690307617, 2.150341272354126, 2.135103225708008, 2.1202034950256348, 2.1060075759887695, 2.0914511680603027, 2.077599287033081, 2.064692974090576, 2.052136182785034, 2.0399224758148193, 2.0283870697021484, 2.017303943634033, 2.0067291259765625, 1.9964368343353271, 1.986487865447998, 1.9768564701080322, 1.96751070022583, 1.9584293365478516, 1.9495937824249268, 1.9409773349761963, 1.9325487613677979, 1.9242818355560303, 1.9162201881408691, 1.9083178043365479, 1.9005613327026367, 1.8927803039550781, 1.8852791786193848, 1.8778934478759766, 1.8706133365631104, 1.8634352684020996, 1.8563520908355713, 1.849355936050415, 1.8423645496368408, 1.8355262279510498, 1.8284435272216797, 1.8216018676757812, 1.8149776458740234, 1.808413028717041, 1.80191969871521, 1.795485258102417, 1.7891778945922852, 1.7828607559204102, 1.7765929698944092, 1.7703781127929688, 1.764211654663086, 1.757950782775879, 1.7517199516296387, 1.7456893920898438, 1.739698886871338, 1.7337470054626465, 1.7278251647949219, 1.721940517425537, 1.7160825729370117, 1.710254430770874, 1.7044496536254883, 1.698678731918335, 1.6929171085357666, 1.6871776580810547, 1.6814546585083008, 1.675750494003296, 1.6700620651245117, 1.664304256439209, 1.658646583557129, 1.6529994010925293, 1.6477165222167969, 1.6423046588897705, 1.6366963386535645, 1.6311004161834717, 1.6255195140838623, 1.6199519634246826, 1.6143982410430908, 1.608583688735962, 1.6030604839324951, 1.5975544452667236, 1.5920660495758057, 1.5865938663482666, 1.5811388492584229, 1.57570219039917, 1.5702836513519287, 1.5648834705352783, 1.5595006942749023, 1.5542199611663818, 1.5489921569824219, 1.5436763763427734, 1.5383801460266113, 1.5331029891967773, 1.52781081199646, 1.522575855255127, 1.5173630714416504, 1.5119409561157227, 1.506760597229004, 1.5016024112701416, 1.4966495037078857, 1.4911527633666992, 1.4863007068634033, 1.4812078475952148, 1.4761312007904053, 1.4710702896118164, 1.4660253524780273, 1.4609997272491455, 1.455991268157959, 1.4510529041290283, 1.4460813999176025, 1.4411258697509766, 1.4361884593963623, 1.4312686920166016, 1.4263672828674316, 1.4214823246002197, 1.4166162014007568, 1.411766767501831, 1.4072248935699463, 1.4024131298065186, 1.3976190090179443, 1.3928418159484863, 1.388357162475586, 1.3836143016815186, 1.378889799118042, 1.3741819858551025, 1.3694918155670166, 1.3648200035095215, 1.3601658344268799, 1.3554954528808594, 1.3508777618408203, 1.3462793827056885, 1.341698408126831, 1.3371381759643555, 1.3325958251953125, 1.3280739784240723, 1.3235723972320557, 1.3191072940826416, 1.3141250610351562, 1.3096823692321777, 1.3052594661712646, 1.3008582592010498, 1.2964768409729004, 1.2921171188354492, 1.2877154350280762, 1.2833945751190186, 1.2790939807891846, 1.274815559387207, 1.2704977989196777, 1.2662618160247803, 1.2620429992675781, 1.2578434944152832, 1.2536582946777344, 1.249495267868042, 1.245347023010254, 1.241213321685791, 1.2370944023132324, 1.2329885959625244, 1.228895664215088, 1.2248144149780273, 1.2207446098327637, 1.2166860103607178, 1.2126376628875732, 1.2086007595062256, 1.2045724391937256, 1.200551986694336, 1.1965405941009521, 1.1921424865722656, 1.1883316040039062, 1.18434739112854, 1.1803698539733887, 1.1763994693756104, 1.1724352836608887, 1.1684792041778564, 1.1645278930664062, 1.1605839729309082, 1.156646728515625, 1.1527149677276611, 1.148792028427124, 1.144874095916748, 1.1407601833343506, 1.136857271194458, 1.1329100131988525, 1.1290178298950195, 1.1251332759857178, 1.1210758686065674, 1.1171977519989014, 1.1133310794830322, 1.1094708442687988, 1.105621337890625, 1.101778507232666, 1.097944736480713, 1.0941202640533447, 1.0903043746948242, 1.0864968299865723, 1.0826990604400635, 1.0789098739624023, 1.0751311779022217, 1.071359634399414, 1.0675971508026123, 1.063845157623291, 1.0601015090942383, 1.0563676357269287, 1.0526437759399414, 1.0489287376403809, 1.0452227592468262, 1.0420536994934082, 1.0383737087249756, 1.0347003936767578, 1.0310349464416504, 1.0273785591125488, 1.0237727165222168, 1.0201923847198486, 1.016556978225708, 1.0129313468933105, 1.009314775466919, 1.005708932876587, 1.0021111965179443, 0.9985219836235046, 0.994941771030426, 0.99136883020401, 0.9878066182136536, 0.9842528700828552, 0.9807084202766418, 0.9771738648414612, 0.9736481308937073, 0.970130980014801, 0.9666220545768738, 0.9631244540214539, 0.9596348404884338, 0.9561557173728943, 0.9526850581169128, 0.9492244124412537, 0.9457737803459167, 0.9423313736915588, 0.9389012455940247, 0.935479462146759, 0.9320698380470276, 0.9289095997810364, 0.9251362681388855, 0.9217631220817566, 0.9183973670005798, 0.9150411486625671, 0.9116957783699036, 0.9083601832389832, 0.9050331711769104, 0.9017177224159241, 0.898411214351654, 0.8951143622398376, 0.891827404499054, 0.8885499835014343, 0.8852830529212952, 0.8820241093635559, 0.8787747025489807, 0.8755344748497009, 0.8723036646842957, 0.8690816760063171, 0.8658683896064758, 0.8626626133918762, 0.8594662547111511, 0.8562784790992737, 0.8530979752540588, 0.8500564694404602, 0.8468881249427795, 0.8437290787696838, 0.8405418992042542, 0.8373977541923523, 0.8342611193656921, 0.8311321139335632, 0.8280107378959656, 0.8248957991600037, 0.8217883706092834, 0.818687379360199, 0.815595805644989, 0.812510073184967, 0.8094308972358704, 0.8063600659370422, 0.8032966256141663, 0.8002412915229797, 0.7971912026405334, 0.7939580082893372, 0.7909250855445862, 0.7879016995429993, 0.7848605513572693, 0.7818586230278015, 0.7788639664649963, 0.7758806347846985, 0.7729079127311707, 0.7699452042579651, 0.7669935822486877, 0.764054000377655, 0.7611262202262878, 0.7582109570503235, 0.7553090453147888, 0.7524189352989197, 0.7495432496070862, 0.7466817498207092, 0.7438337206840515, 0.7409994006156921, 0.7381803393363953, 0.735374391078949], forces=[(0.011048180051147938, 0.01756734773516655, -0.044611815363168716), (0.009981452487409115, 0.00270102103240788, -0.01495250966399908), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.040433283895254135, -0.002390028443187475, -0.04978139325976372), (0.06139674410223961, 0.023569317534565926, 0.020381009206175804), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004938843194395304, 0.011576433666050434, -0.00633571483194828), (-0.08426057547330856, -0.10261540114879608, 0.06525682657957077), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0014684428460896015, 0.023803861811757088, -0.032312072813510895), (0.004227440804243088, 0.015547440387308598, -0.013232013210654259), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.027164587751030922, 0.0321744866669178, 0.009784740395843983), (0.027329687029123306, 0.0316382497549057, 0.007054395508021116), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.021080225706100464, 0.012525636702775955, -0.005506496410816908), (-0.0054008071310818195, 0.03618023544549942, -0.02625952661037445), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010720926336944103, 0.0075279478915035725, -0.01566372625529766), (0.006078918464481831, 0.01909257285296917, -0.014261005446314812), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011476521380245686, 0.030361179262399673, 0.016144901514053345), (0.03796760365366936, 0.07487879693508148, 0.104970782995224), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.017611917108297348, -0.0002027958253165707, 0.02801877073943615), (0.0685773640871048, -0.012898090295493603, 0.013869398273527622), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.25213322043418884, -0.36643627285957336, -0.09306687116622925), (-0.14814049005508423, -0.5660901665687561, -0.011399158276617527)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=24, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.819798231124878, 0.003255059476941824, 16.897443771362305), (1.4046880006790161, 1.390572190284729, 18.840953826904297), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7856433391571045, 2.842332601547241, 16.9477481842041), (1.4847533702850342, 4.271162986755371, 19.0220890045166), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.7909722328186035, 5.629708290100098, 16.940156936645508), (1.4044474363327026, 7.083657741546631, 18.84449577331543), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.624200344085693, -0.0025533982552587986, 16.889741897583008), (4.213601112365723, 1.3939268589019775, 18.850425720214844), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.62923526763916, 2.8333756923675537, 16.93113899230957), (4.182393550872803, 4.230105400085449, 18.880712509155273), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6308135986328125, 5.624793529510498, 16.92711639404297), (4.220526695251465, 7.067215919494629, 18.84803581237793), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.458588600158691, -0.002206984208896756, 16.90409278869629), (7.022964954376221, 1.3684582710266113, 18.828670501708984), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.453069686889648, 2.8409197330474854, 16.958961486816406), (6.865200042724609, 4.195710182189941, 18.963762283325195), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.449553489685059, 5.6171488761901855, 16.957075119018555), (7.024885654449463, 7.066546440124512, 18.827781677246094), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (8.3467378616333, 4.227583885192871, 20.465539932250977), (8.306230545043945, 5.131714820861816, 20.854923248291016)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.42608171701431274, energy_trajectory=[1.4598042964935303, 1.4411964416503906, 1.4268507957458496, 1.4129137992858887, 1.4006829261779785, 1.389265537261963, 1.3785147666931152, 1.368539571762085, 1.3586726188659668, 1.3490827083587646, 1.3397302627563477, 1.3305985927581787, 1.3218302726745605, 1.313039779663086, 1.3043982982635498, 1.2958014011383057, 1.2873821258544922, 1.2790637016296387, 1.2708134651184082, 1.2624812126159668, 1.2545335292816162, 1.246558666229248, 1.2386856079101562, 1.2307677268981934, 1.2230076789855957, 1.2153205871582031, 1.2076380252838135, 1.2000806331634521, 1.1926064491271973, 1.1852028369903564, 1.1778628826141357, 1.170579433441162, 1.163356065750122, 1.1562390327453613, 1.1491327285766602, 1.1420369148254395, 1.1350457668304443, 1.1281046867370605, 1.1212170124053955, 1.1143794059753418, 1.1076550483703613, 1.1009151935577393, 1.0942294597625732, 1.0875961780548096, 1.0809273719787598, 1.0743696689605713, 1.0678949356079102, 1.061471700668335, 1.0550940036773682, 1.0487680435180664, 1.0423011779785156, 1.036214828491211, 1.030015468597412, 1.0238773822784424, 1.0177860260009766, 1.01173996925354, 1.005737543106079, 0.9997798800468445, 0.99387127161026, 0.988008439540863, 0.9821853041648865, 0.9763035178184509, 0.9705716967582703, 0.9648874402046204, 0.9593247771263123, 0.9537284970283508, 0.9481779932975769, 0.9426715970039368, 0.937214195728302, 0.9318061470985413, 0.9264435172080994, 0.9211297631263733, 0.9157530665397644, 0.9105355143547058, 0.905373752117157, 0.900249183177948, 0.8950473666191101, 0.8900092244148254, 0.8850134015083313, 0.8800765872001648, 0.8751663565635681, 0.87029629945755, 0.8654679656028748, 0.8606758713722229, 0.8559208512306213, 0.8512035012245178, 0.8465211987495422, 0.8418757319450378, 0.8372641205787659, 0.8324704766273499, 0.8279314637184143, 0.8234302401542664, 0.8189652562141418, 0.8145220875740051, 0.8101291060447693, 0.8057875037193298, 0.8013833165168762, 0.7971004843711853, 0.7930471301078796, 0.7888384461402893, 0.7846664786338806, 0.7805230021476746, 0.7764751315116882, 0.7724170088768005, 0.7670732140541077, 0.7631040215492249, 0.7592361569404602, 0.7553265690803528, 0.751458466053009, 0.7476270794868469, 0.743829071521759, 0.7400664687156677, 0.7363371253013611, 0.7326419949531555, 0.7289596199989319, 0.7253318428993225, 0.7217355370521545, 0.7181717753410339, 0.7146392464637756, 0.7111378312110901, 0.7076980471611023, 0.7042619585990906, 0.7010517716407776, 0.6976744532585144, 0.6943250298500061, 0.6910045742988586, 0.6877148747444153, 0.6844509243965149, 0.6812155842781067, 0.6780086159706116, 0.6748291850090027, 0.671664297580719, 0.6685419678688049, 0.6654475331306458, 0.6623796820640564, 0.6593411564826965, 0.6563283801078796, 0.6533951163291931, 0.6504361033439636, 0.6473992466926575, 0.6444975733757019, 0.6416227221488953, 0.6387748122215271, 0.6358359456062317, 0.633040726184845, 0.630273163318634, 0.6275325417518616, 0.6248190999031067, 0.622130811214447, 0.6194871068000793, 0.6169511675834656, 0.614361584186554, 0.6117987036705017, 0.6092621684074402, 0.6067519783973694, 0.6042686104774475, 0.601810872554779, 0.5993793606758118, 0.596974790096283, 0.5945952534675598, 0.5922254920005798, 0.5898998379707336, 0.587598979473114, 0.5853244662284851, 0.5830714106559753, 0.580847442150116, 0.5786485075950623, 0.5764749646186829, 0.5741346478462219, 0.5720134377479553, 0.5699148774147034, 0.5678421854972839, 0.565791666507721, 0.5637659430503845, 0.5617640614509583, 0.5597855448722839, 0.5578293204307556, 0.5558965802192688, 0.5539873242378235, 0.5521008372306824, 0.5502343773841858, 0.5483902096748352, 0.546566903591156, 0.5447666049003601, 0.5429860949516296, 0.5412266850471497, 0.539486825466156, 0.5377668738365173, 0.536066472530365, 0.534385621547699, 0.532692015171051, 0.5310496687889099, 0.5294259190559387, 0.5278200507164001, 0.5262313485145569, 0.524760901927948, 0.5232086777687073, 0.5216731429100037, 0.5201550126075745, 0.5186545252799988, 0.5171704888343811, 0.5156860947608948, 0.5142355561256409, 0.5128012299537659, 0.5113827586174011, 0.5099793076515198, 0.5085919499397278, 0.5072194933891296, 0.5058621764183044, 0.5045191645622253, 0.5031912922859192, 0.5018784403800964, 0.5005789399147034, 0.49929362535476685, 0.49800997972488403, 0.49675363302230835, 0.49551111459732056, 0.49428147077560425, 0.4930652976036072, 0.4916316866874695, 0.49038416147232056, 0.4892032742500305, 0.48803597688674927, 0.4868801236152649, 0.48573750257492065, 0.4846060872077942, 0.4834863543510437, 0.48237866163253784, 0.48128193616867065, 0.4801962971687317, 0.4791213870048523, 0.478057324886322, 0.47700363397598267, 0.475959837436676, 0.47492676973342896, 0.4739047884941101, 0.47289222478866577, 0.4718891978263855, 0.4708966612815857, 0.46991318464279175, 0.46893852949142456, 0.4679756760597229, 0.46702152490615845, 0.4660765528678894, 0.4651417136192322, 0.4642159342765808, 0.46330028772354126, 0.46239417791366577, 0.46149736642837524, 0.4606098532676697, 0.4597317576408386, 0.4588630795478821, 0.4580039381980896, 0.4571545720100403, 0.45631474256515503, 0.45548397302627563, 0.45466214418411255, 0.4534873366355896, 0.4526814818382263, 0.4514414668083191, 0.450655996799469, 0.44987910985946655, 0.44911009073257446, 0.44835036993026733, 0.4475998282432556, 0.4468570351600647, 0.4461246132850647, 0.44540029764175415, 0.4446837306022644, 0.44397681951522827, 0.4432768225669861, 0.4425857663154602, 0.441902220249176, 0.44122618436813354, 0.440557062625885, 0.4398960471153259, 0.43924301862716675, 0.4385966658592224, 0.43795710802078247, 0.43732398748397827, 0.4366987347602844, 0.43608003854751587, 0.43546777963638306, 0.43494755029678345, 0.43434852361679077, 0.4337541460990906, 0.4331672787666321, 0.43255919218063354, 0.4319828152656555, 0.43141359090805054, 0.43085092306137085, 0.43029457330703735, 0.42974478006362915, 0.4292014241218567, 0.4286655783653259, 0.4281352162361145, 0.42761164903640747, 0.42709559202194214, 0.42658549547195435, 0.42608171701431274], forces=[(-0.008407402783632278, -0.004239373374730349, -0.005251362919807434), (-0.007545715197920799, 0.004750214982777834, 0.02508644014596939), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01596221700310707, -0.01832425966858864, -0.02964276447892189), (-0.028692668303847313, -0.043962329626083374, -0.05878300964832306), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0018172635463997722, 0.0006653182208538055, -0.015392735600471497), (-0.012181717902421951, -0.02381926402449608, 0.03065861389040947), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004470011219382286, 0.00014551592175848782, 0.0017716202419251204), (-0.00433540903031826, 0.0008174736867658794, 0.018316807225346565), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00044615103979595006, -0.0010038898326456547, -0.0008994115050882101), (0.018859626725316048, -0.003127491567283869, 0.021019689738750458), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005795679520815611, 0.005377506371587515, -0.004395734053105116), (-0.008806966245174408, -0.0010515525937080383, 0.018282493576407433), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00577078852802515, -0.0005680247559212148, -0.00474019767716527), (-0.0033711164724081755, 0.028453484177589417, 0.033760178834199905), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01173701323568821, 0.009215041063725948, 0.009182640351355076), (0.1034989282488823, 0.07085470855236053, 0.06858675181865692), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0070633795112371445, -0.006100376136600971, 0.00029374356381595135), (0.000391982845030725, -0.01338732149451971, 0.036926284432411194), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.14616508781909943, 0.11247951537370682, 0.022268611937761307), (0.05908539146184921, -0.12340930104255676, -0.08824840188026428)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=25, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8198609352111816, -0.03403124213218689, 16.94244956970215), (1.3940300941467285, 1.4159420728683472, 18.855628967285156), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.806356191635132, 2.7967026233673096, 16.891298294067383), (1.39469575881958, 4.209112167358398, 18.850107192993164), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.802772283554077, 5.6293768882751465, 16.916284561157227), (1.3520981073379517, 7.032675743103027, 18.878007888793945), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.635425567626953, -0.021805236116051674, 16.943103790283203), (4.220686435699463, 1.4133846759796143, 18.853734970092773), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.640795707702637, 2.8064324855804443, 16.901948928833008), (4.18337869644165, 4.141989231109619, 18.819698333740234), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.626477241516113, 5.648622035980225, 16.961685180664062), (4.043331146240234, 7.117395401000977, 18.91753387451172), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.432662010192871, -0.03016589768230915, 16.949365615844727), (7.043503761291504, 1.411072850227356, 18.861122131347656), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.46653938293457, 2.7997961044311523, 16.894298553466797), (7.074437141418457, 4.174403667449951, 18.82086181640625), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.43952465057373, 5.640356540679932, 16.92413902282715), (7.096741676330566, 7.060153484344482, 18.989276885986328), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.349021911621094, 6.5248284339904785, 20.419401168823242), (5.142408847808838, 7.022750377655029, 21.243194580078125)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.705194890499115, energy_trajectory=[1.9895763397216797, 1.970327615737915, 1.9554166793823242, 1.9412212371826172, 1.9279730319976807, 1.9154503345489502, 1.9033477306365967, 1.891352891921997, 1.8799879550933838, 1.8687591552734375, 1.8578557968139648, 1.8472135066986084, 1.8368217945098877, 1.8265082836151123, 1.8165392875671387, 1.8067235946655273, 1.7969934940338135, 1.787395715713501, 1.7778565883636475, 1.7684638500213623, 1.759225845336914, 1.7500903606414795, 1.7410552501678467, 1.7321162223815918, 1.7232723236083984, 1.714512825012207, 1.7058141231536865, 1.697232723236084, 1.6887340545654297, 1.6803133487701416, 1.6719651222229004, 1.663691759109497, 1.6554539203643799, 1.647325038909912, 1.639258623123169, 1.6312580108642578, 1.6246967315673828, 1.6168253421783447, 1.609020709991455, 1.601250171661377, 1.5936036109924316, 1.5859472751617432, 1.5783448219299316, 1.5709044933319092, 1.56341552734375, 1.5552942752838135, 1.548090934753418, 1.5406858921051025, 1.533433198928833, 1.526188850402832, 1.5189948081970215, 1.5118496417999268, 1.5047492980957031, 1.4976980686187744, 1.4906940460205078, 1.4837288856506348, 1.4768109321594238, 1.4699366092681885, 1.4631035327911377, 1.457165002822876, 1.4502758979797363, 1.4435617923736572, 1.4368631839752197, 1.4302253723144531, 1.423490285873413, 1.4169399738311768, 1.4104008674621582, 1.4039385318756104, 1.3975183963775635, 1.391150951385498, 1.3848199844360352, 1.378530740737915, 1.3722820281982422, 1.3660790920257568, 1.3600962162017822, 1.3539772033691406, 1.3478939533233643, 1.3418490886688232, 1.3358454704284668, 1.3298754692077637, 1.3239450454711914, 1.3180468082427979, 1.3121888637542725, 1.306363582611084, 1.3005726337432861, 1.2948131561279297, 1.2890887260437012, 1.2833974361419678, 1.2775249481201172, 1.2719037532806396, 1.2662854194641113, 1.2609055042266846, 1.2553818225860596, 1.249889850616455, 1.2444326877593994, 1.2390110492706299, 1.2336204051971436, 1.2282617092132568, 1.2227108478546143, 1.217367172241211, 1.2120497226715088, 1.206817388534546, 1.2016143798828125, 1.1963672637939453, 1.1912274360656738, 1.186119794845581, 1.1810455322265625, 1.1760013103485107, 1.1709914207458496, 1.1660115718841553, 1.161064624786377, 1.1561529636383057, 1.151268720626831, 1.1464195251464844, 1.1416022777557373, 1.1368210315704346, 1.1320760250091553, 1.1272211074829102, 1.1225483417510986, 1.1178741455078125, 1.1132752895355225, 1.1087143421173096, 1.1041922569274902, 1.0997085571289062, 1.0952646732330322, 1.0908560752868652, 1.0864877700805664, 1.0821590423583984, 1.0778687000274658, 1.073617935180664, 1.0694053173065186, 1.0652310848236084, 1.0610945224761963, 1.0569958686828613, 1.0529348850250244, 1.0489096641540527, 1.0449211597442627, 1.0409703254699707, 1.037052869796753, 1.0331707000732422, 1.029160737991333, 1.0253455638885498, 1.0215647220611572, 1.0178167819976807, 1.0141034126281738, 1.0104236602783203, 1.006777048110962, 1.0031630992889404, 0.9994936585426331, 0.9959473013877869, 0.9924330115318298, 0.9889503121376038, 0.9854992032051086, 0.9820789694786072, 0.9786909222602844, 0.9753339886665344, 0.9720085263252258, 0.9687144160270691, 0.965514600276947, 0.9622803330421448, 0.959077775478363, 0.9562583565711975, 0.953124463558197, 0.9501041769981384, 0.9470311999320984, 0.9439875483512878, 0.9409731030464172, 0.9379885792732239, 0.9335330128669739, 0.930618941783905, 0.9277368187904358, 0.9248811602592468, 0.9222444891929626, 0.919451892375946, 0.9166896939277649, 0.9139557480812073, 0.9112504124641418, 0.9085739254951477, 0.9059258103370667, 0.9033061861991882, 0.9007135033607483, 0.8986691832542419, 0.896130383014679, 0.8936029076576233, 0.8911182284355164, 0.8886604905128479, 0.8862301707267761, 0.8838266730308533, 0.8814489245414734, 0.8790954947471619, 0.8767688870429993, 0.8744789958000183, 0.872200071811676, 0.8699389100074768, 0.8677043318748474, 0.8654933571815491, 0.8639211058616638, 0.8617209792137146, 0.8595754504203796, 0.8574493527412415, 0.8553428053855896, 0.8532559275627136, 0.8511735796928406, 0.8491224646568298, 0.8470906615257263, 0.8450766205787659, 0.8430801033973694, 0.8411014676094055, 0.8391394019126892, 0.8371936678886414, 0.8352660536766052, 0.8333691954612732, 0.8314716219902039, 0.8295902609825134, 0.8276746869087219, 0.8258249163627625, 0.8239919543266296, 0.8221738934516907, 0.8203715682029724, 0.8185837864875793, 0.8168111443519592, 0.8150530457496643, 0.8133090138435364, 0.8115794062614441, 0.8100437521934509, 0.8081502318382263, 0.8064627051353455, 0.8047903180122375, 0.8031299710273743, 0.8014833331108093, 0.7998495697975159, 0.7982284426689148, 0.7966205477714539, 0.7950248122215271, 0.7934690117835999, 0.7918975949287415, 0.7903370261192322, 0.7887888550758362, 0.7872501015663147, 0.7860940098762512, 0.7845773100852966, 0.7830718159675598, 0.7813418507575989, 0.779858410358429, 0.7783829569816589, 0.7769172787666321, 0.7754612565040588, 0.7740134596824646, 0.7725748419761658, 0.771145761013031, 0.769724428653717, 0.7683109641075134, 0.7669059634208679, 0.7655079960823059, 0.7641180157661438, 0.7627353072166443, 0.761358916759491, 0.7602296471595764, 0.7588713765144348, 0.7575182318687439, 0.7562008500099182, 0.7548602223396301, 0.7535238862037659, 0.7521921992301941, 0.7508637309074402, 0.7495387196540833, 0.7482178807258606, 0.7469000220298767, 0.7455840706825256, 0.7442719340324402, 0.7429612278938293, 0.7416524291038513, 0.740345299243927, 0.7391483187675476, 0.7377366423606873, 0.7364360690116882, 0.7351371645927429, 0.7338389754295349, 0.7325406670570374, 0.7312447428703308, 0.729949414730072, 0.7286569476127625, 0.7273643612861633, 0.7260730862617493, 0.7243183255195618, 0.7230964303016663, 0.7218089699745178, 0.7205217480659485, 0.7192358374595642, 0.7179530262947083, 0.7166699767112732, 0.7153885960578918, 0.7141092419624329, 0.712831437587738, 0.7115545868873596, 0.7102790474891663, 0.7090055346488953, 0.7077338099479675, 0.7064628005027771, 0.705194890499115], forces=[(-0.0342872180044651, 0.014057566411793232, -0.027638839557766914), (-0.004980947356671095, -0.008290983736515045, 0.015029889531433582), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009877162985503674, -0.0013518837513402104, -0.016981592401862144), (-0.00353407789953053, -0.011897176504135132, 0.013881278224289417), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009875182993710041, 0.01950245164334774, 0.0176885724067688), (-0.006502630654722452, -0.008292113430798054, 0.035658739507198334), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.017969416454434395, -0.01934400200843811, 0.0199023075401783), (-0.01749560609459877, -0.007481418550014496, 0.015378720127046108), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006462873425334692, -0.0006714253686368465, -0.009254999458789825), (0.01420284528285265, 0.07417555898427963, 0.015306896530091763), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016487926244735718, 0.01982562243938446, 0.017762523144483566), (0.05158078670501709, -0.04498571902513504, 0.17204521596431732), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012198557145893574, -0.0021267770789563656, -0.007837602868676186), (-0.009653209708631039, -0.004595983773469925, 0.01758400909602642), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011377392336726189, 0.0019158789655193686, -0.00663193641230464), (-0.045304540544748306, 0.03222764655947685, 0.04418052360415459), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015339734964072704, 0.0045625013299286366, 0.003779673483222723), (-0.05092476308345795, 0.0036748505663126707, 0.06764021515846252), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.13946928083896637, 0.10556263476610184, 0.09658768773078918), (0.2761954963207245, 0.1540457159280777, -0.2357906550168991)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=26, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8083431720733643, 0.03381664678454399, 16.89254379272461), (1.4055142402648926, 1.407463788986206, 18.864917755126953), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8390653133392334, 2.862173318862915, 16.96673583984375), (1.4042320251464844, 4.260896682739258, 18.88664436340332), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.820216655731201, 5.6528778076171875, 16.920669555664062), (1.4055862426757812, 7.0754804611206055, 18.855161666870117), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.641580104827881, 0.020324356853961945, 16.899314880371094), (4.238050937652588, 1.4116911888122559, 18.87285041809082), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.6391472816467285, 2.8385283946990967, 16.93517303466797), (4.1146063804626465, 4.174864292144775, 18.959728240966797), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.631115913391113, 5.644303321838379, 16.94939422607422), (4.177455902099609, 7.152487277984619, 18.810871124267578), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.472414016723633, 0.028916873037815094, 16.893308639526367), (7.050477027893066, 1.4162110090255737, 18.862590789794922), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.454358100891113, 2.85642671585083, 16.951679229736328), (7.147290229797363, 4.22011661529541, 18.902997970581055), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.468217849731445, 5.655941009521484, 16.907102584838867), (7.096133232116699, 7.135586738586426, 18.809375762939453), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.6274309158325195, 4.915570259094238, 20.29666519165039), (5.743746280670166, 4.453118324279785, 21.150938034057617)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.6855210661888123, energy_trajectory=[1.9965260028839111, 1.974691390991211, 1.9579014778137207, 1.9424045085906982, 1.9273908138275146, 1.9127171039581299, 1.898029088973999, 1.8834102153778076, 1.8692336082458496, 1.8554277420043945, 1.8414859771728516, 1.827639102935791, 1.813915729522705, 1.8002474308013916, 1.7866106033325195, 1.7730505466461182, 1.7597599029541016, 1.7470145225524902, 1.7346429824829102, 1.7227494716644287, 1.7109622955322266, 1.6995306015014648, 1.6885881423950195, 1.6777739524841309, 1.667231798171997, 1.6567778587341309, 1.6466939449310303, 1.636838436126709, 1.6271882057189941, 1.6177434921264648, 1.6084353923797607, 1.5993804931640625, 1.5905025005340576, 1.5817904472351074, 1.5731477737426758, 1.5647578239440918, 1.5565130710601807, 1.548412799835205, 1.5404565334320068, 1.5325567722320557, 1.524986743927002, 1.517606496810913, 1.5104072093963623, 1.5028083324432373, 1.4965400695800781, 1.4898457527160645, 1.4833083152770996, 1.4766626358032227, 1.4704318046569824, 1.4641258716583252, 1.458193302154541, 1.4523978233337402, 1.446742296218872, 1.4412214756011963, 1.435826301574707, 1.4305615425109863, 1.4254224300384521, 1.4204068183898926, 1.415506362915039, 1.4107213020324707, 1.4059882164001465, 1.4012541770935059, 1.396798849105835, 1.3922038078308105, 1.3879456520080566, 1.3837857246398926, 1.3797218799591064, 1.37575364112854, 1.3718764781951904, 1.3680939674377441, 1.3643932342529297, 1.3607778549194336, 1.3572447299957275, 1.353787899017334, 1.350407600402832, 1.3470966815948486, 1.3438544273376465, 1.340674638748169, 1.3375568389892578, 1.3345248699188232, 1.3313701152801514, 1.3284072875976562, 1.3254914283752441, 1.322615385055542, 1.3197786808013916, 1.3169753551483154, 1.314204216003418, 1.3114631175994873, 1.308748722076416, 1.3060603141784668, 1.3033952713012695, 1.300750970840454, 1.2981269359588623, 1.295520305633545, 1.2929317951202393, 1.290358543395996, 1.2878055572509766, 1.28525972366333, 1.2827248573303223, 1.2802011966705322, 1.2776846885681152, 1.2751789093017578, 1.2726752758026123, 1.2701778411865234, 1.2676849365234375, 1.2654614448547363, 1.2629706859588623, 1.260481357574463, 1.2579915523529053, 1.255497694015503, 1.2530019283294678, 1.2505011558532715, 1.2479948997497559, 1.245481252670288, 1.2429604530334473, 1.2404303550720215, 1.2378888130187988, 1.2353391647338867, 1.2327759265899658, 1.2302002906799316, 1.2276122570037842, 1.2250101566314697, 1.2223966121673584, 1.2196600437164307, 1.2170078754425049, 1.2143363952636719, 1.2116456031799316, 1.208937168121338, 1.2062082290649414, 1.2034578323364258, 1.2006871700286865, 1.197892189025879, 1.1950736045837402, 1.1922316551208496, 1.1893634796142578, 1.1864700317382812, 1.1835505962371826, 1.1806042194366455, 1.17763090133667, 1.174631118774414, 1.1716012954711914, 1.168541669845581, 1.1657006740570068, 1.1625871658325195, 1.1593983173370361, 1.1562285423278809, 1.1530275344848633, 1.1497962474822998, 1.1465353965759277, 1.1432440280914307, 1.1399221420288086, 1.1365699768066406, 1.1331896781921387, 1.129607915878296, 1.126115083694458, 1.1226449012756348, 1.119145393371582, 1.1156196594238281, 1.112065076828003, 1.1085927486419678, 1.1050200462341309, 1.1014440059661865, 1.0977983474731445, 1.0942132472991943, 1.0906240940093994, 1.0870320796966553, 1.08343505859375, 1.079836130142212, 1.076233148574829, 1.0729014873504639, 1.069291591644287, 1.0656788349151611, 1.062063455581665, 1.0584454536437988, 1.0548253059387207, 1.0512027740478516, 1.0475778579711914, 1.043950080871582, 1.0403196811676025, 1.036686658859253, 1.0330524444580078, 1.029414176940918, 1.0257751941680908, 1.0221338272094727, 1.0184905529022217, 1.0148448944091797, 1.0111982822418213, 1.0073063373565674, 1.003657341003418, 1.0000052452087402, 0.9963516592979431, 0.9926977753639221, 0.9890425801277161, 0.9856213927268982, 0.9819660782814026, 0.9783126711845398, 0.9746610522270203, 0.9710085988044739, 0.9675824046134949, 0.963935911655426, 0.9602931141853333, 0.9566534161567688, 0.9534099698066711, 0.9497851729393005, 0.9461644291877747, 0.9425498843193054, 0.9389423727989197, 0.9353422522544861, 0.9317479729652405, 0.928163468837738, 0.9245887398719788, 0.9210242629051208, 0.9174706339836121, 0.9139290452003479, 0.9103994965553284, 0.906883180141449, 0.9033798575401306, 0.8998917937278748, 0.8964189887046814, 0.8929610848426819, 0.8895196318626404, 0.8860949873924255, 0.8826876282691956, 0.8792985081672668, 0.8759271502494812, 0.8725753426551819, 0.8692434430122375, 0.8659301400184631, 0.862583577632904, 0.8593096137046814, 0.8560569882392883, 0.8528569340705872, 0.8496461510658264, 0.8464575409889221, 0.8432897925376892, 0.8401432633399963, 0.8370198607444763, 0.833918035030365, 0.8308369517326355, 0.8277782797813416, 0.8247396349906921, 0.8217238783836365, 0.8187304139137268, 0.8152466416358948, 0.8122889399528503, 0.8093566298484802, 0.8064432740211487, 0.8035528063774109, 0.8006834387779236, 0.7978398203849792, 0.7948424220085144, 0.7919774651527405, 0.7891976237297058, 0.786438524723053, 0.783909022808075, 0.7812203764915466, 0.7785212397575378, 0.7758433222770691, 0.7731844782829285, 0.770546019077301, 0.7678982615470886, 0.7653006911277771, 0.7627219557762146, 0.7601634860038757, 0.7576733231544495, 0.7551551461219788, 0.7526581883430481, 0.7501810193061829, 0.7477237582206726, 0.7452879548072815, 0.7428733706474304, 0.7404914498329163, 0.7381637692451477, 0.735845148563385, 0.7335579991340637, 0.7313025593757629, 0.7290790677070618, 0.7268869280815125, 0.7247255444526672, 0.7225944399833679, 0.7206366658210754, 0.7185660004615784, 0.716525137424469, 0.7145146727561951, 0.7124711871147156, 0.7105132937431335, 0.7085862755775452, 0.7066848874092102, 0.704813539981842, 0.7029685378074646, 0.7011509537696838, 0.699359118938446, 0.6976435780525208, 0.6959018111228943, 0.6941841244697571, 0.6924912333488464, 0.69082111120224, 0.6888899207115173, 0.6872662901878357, 0.6855210661888123], forces=[(-0.0017762009520083666, -0.001010894076898694, -0.011987058445811272), (0.0030011723283678293, 0.00864727795124054, 0.007450321689248085), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03047851473093033, -0.01491321250796318, -0.03945372626185417), (-0.0011089048348367214, 0.015075105242431164, 0.016660399734973907), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004985547158867121, -0.004280455410480499, 0.007053349632769823), (0.006295125465840101, 0.019220823422074318, 0.0006172438734211028), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005304714199155569, -6.629922427237034e-05, -0.0003992582205682993), (-0.009501755237579346, 0.0008605793118476868, -0.0007597997901029885), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0032948567532002926, 0.021135717630386353, 0.016227466985583305), (0.012472279369831085, 0.04917291924357414, 0.028542006388306618), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00291489833034575, -0.011701526120305061, 0.021000303328037262), (0.049038756638765335, -0.08470936864614487, 0.03160569816827774), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001867830753326416, 0.01346518937498331, -0.017144635319709778), (-0.0005061428528279066, 0.01040157675743103, 0.0059401607140898705), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02127121016383171, 0.021184029057621956, 0.006949105300009251), (-0.02702711522579193, 0.02203688584268093, 0.14564776420593262), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01791367121040821, -0.0027868293691426516, 0.011906149797141552), (-0.02932654321193695, -0.016160771250724792, 0.017916696146130562), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.21661058068275452, -0.25423750281333923, 0.018391098827123642), (-0.16781935095787048, -0.24107393622398376, 0.040413014590740204)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=27, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.805023670196533, -0.00677899457514286, 16.950538635253906), (1.3981257677078247, 1.482216477394104, 18.805866241455078), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.824042320251465, 2.842925548553467, 16.89134979248047), (1.408105731010437, 4.223750591278076, 18.848997116088867), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.809173822402954, 5.679786682128906, 16.951379776000977), (1.2941988706588745, 6.986114501953125, 19.058115005493164), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.644250869750977, 0.011184862814843655, 16.895357131958008), (4.234397888183594, 1.4382045269012451, 18.82439422607422), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.64193868637085, 2.833660840988159, 16.887800216674805), (4.246576309204102, 4.23540735244751, 18.830442428588867), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.656492233276367, 5.648238658905029, 16.893043518066406), (4.293161392211914, 7.061209201812744, 18.834367752075195), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.480447769165039, 0.0032738856971263885, 16.935691833496094), (7.039370059967041, 1.444748878479004, 18.82554817199707), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.453954696655273, 2.8538317680358887, 16.886354446411133), (7.040446758270264, 4.2388434410095215, 18.83842658996582), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.500843048095703, 5.694185733795166, 16.959260940551758), (7.026734828948975, 7.0762715339660645, 18.852678298950195), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.8634556531906128, 7.416284084320068, 20.90965461730957), (2.314326763153076, 8.286211967468262, 20.81989097595215)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.9050320982933044, energy_trajectory=[1.5919861793518066, 1.5783398151397705, 1.56760835647583, 1.556894063949585, 1.546950101852417, 1.5371956825256348, 1.5279788970947266, 1.518968105316162, 1.5105321407318115, 1.5024662017822266, 1.4947915077209473, 1.4871926307678223, 1.479642629623413, 1.4727463722229004, 1.4656751155853271, 1.458615779876709, 1.4517202377319336, 1.4449150562286377, 1.4382092952728271, 1.4315464496612549, 1.424942970275879, 1.4185564517974854, 1.412240982055664, 1.406249761581421, 1.4000623226165771, 1.3942553997039795, 1.3879928588867188, 1.3819870948791504, 1.3759419918060303, 1.3700425624847412, 1.3642001152038574, 1.3584942817687988, 1.3527493476867676, 1.3469760417938232, 1.3413255214691162, 1.3356835842132568, 1.3301198482513428, 1.3248116970062256, 1.3193418979644775, 1.3139214515686035, 1.308542013168335, 1.3030083179473877, 1.2977185249328613, 1.2924776077270508, 1.2872803211212158, 1.2821259498596191, 1.2770159244537354, 1.271963119506836, 1.2669486999511719, 1.2619729042053223, 1.257033348083496, 1.2521486282348633, 1.247541904449463, 1.2427427768707275, 1.2378525733947754, 1.2331409454345703, 1.2284717559814453, 1.223844289779663, 1.2192633152008057, 1.2147207260131836, 1.2102246284484863, 1.2057404518127441, 1.2013280391693115, 1.1969592571258545, 1.1926302909851074, 1.188347578048706, 1.1842241287231445, 1.1800286769866943, 1.1758763790130615, 1.1716339588165283, 1.167569875717163, 1.1635453701019287, 1.159566879272461, 1.155627965927124, 1.1517338752746582, 1.1478800773620605, 1.1441643238067627, 1.1403956413269043, 1.1366708278656006, 1.1329865455627441, 1.1293346881866455, 1.125734567642212, 1.1221747398376465, 1.1186587810516357, 1.1151816844940186, 1.1119880676269531, 1.1085917949676514, 1.1052396297454834, 1.1019277572631836, 1.0986547470092773, 1.095423698425293, 1.0924324989318848, 1.0892789363861084, 1.0861690044403076, 1.083096981048584, 1.0800690650939941, 1.0770037174224854, 1.0740554332733154, 1.0711469650268555, 1.0682780742645264, 1.0654513835906982, 1.062664270401001, 1.0599164962768555, 1.0572013854980469, 1.054619550704956, 1.0519235134124756, 1.0493335723876953, 1.046781063079834, 1.044267177581787, 1.0418140888214111, 1.0393803119659424, 1.0369818210601807, 1.0346157550811768, 1.0322930812835693, 1.030099630355835, 1.0278501510620117, 1.0256352424621582, 1.0234589576721191, 1.0212347507476807, 1.0192170143127441, 1.0171067714691162, 1.0150783061981201, 1.013085126876831, 1.0111274719238281, 1.0085070133209229, 1.0066194534301758, 1.0046586990356445, 1.002838134765625, 1.0010526180267334, 0.9992993474006653, 0.997580349445343, 0.9958930611610413, 0.9942404627799988, 0.992617666721344, 0.9910282492637634, 0.9894701838493347, 0.9879421591758728, 0.9863647818565369, 0.985733687877655, 0.9842968583106995, 0.9828872084617615, 0.9815060496330261, 0.9801470637321472, 0.9788181185722351, 0.9775175452232361, 0.9762429594993591, 0.9749930500984192, 0.9737688899040222, 0.9725702404975891, 0.9716807007789612, 0.9705658555030823, 0.9694769978523254, 0.9684091210365295, 0.9673652052879333, 0.9663428664207458, 0.9653419852256775, 0.9643625617027283, 0.9634056687355042, 0.9624703526496887, 0.961555540561676, 0.9606596827507019, 0.9597837328910828, 0.9589282870292664, 0.9580903649330139, 0.9572715163230896, 0.9564730525016785, 0.9556916356086731, 0.9549289345741272, 0.9541820883750916, 0.9536188244819641, 0.9529058337211609, 0.9522520899772644, 0.9515705704689026, 0.9509053826332092, 0.9502560496330261, 0.9496216177940369, 0.9490697979927063, 0.9482341408729553, 0.9476438164710999, 0.9470682740211487, 0.9465053677558899, 0.9460455775260925, 0.9455046057701111, 0.944976270198822, 0.9444617629051208, 0.9440684914588928, 0.9435796141624451, 0.9430812001228333, 0.9426116347312927, 0.9421553015708923, 0.9417083859443665, 0.9412743449211121, 0.9408488869667053, 0.9404336810112, 0.9400292038917542, 0.9396330714225769, 0.9392468333244324, 0.9388696551322937, 0.9385012984275818, 0.9381416440010071, 0.9377898573875427, 0.9374473690986633, 0.9371119141578674, 0.9367837309837341, 0.9364616274833679, 0.9361483454704285, 0.9357412457466125, 0.935441792011261, 0.9351463913917542, 0.9348569512367249, 0.9345722794532776, 0.9341017603874207, 0.933776319026947, 0.9335013031959534, 0.9332308173179626, 0.9329612851142883, 0.9326961636543274, 0.9324690699577332, 0.932208240032196, 0.9319484829902649, 0.9317112565040588, 0.9314553141593933, 0.9311988949775696, 0.9309433102607727, 0.9306877255439758, 0.9304332137107849, 0.9301778674125671, 0.9299212098121643, 0.9294849038124084, 0.9292263388633728, 0.928966224193573, 0.928705632686615, 0.9284436106681824, 0.9281790852546692, 0.9279138445854187, 0.9276458621025085, 0.9276089072227478, 0.927338182926178, 0.9270638823509216, 0.926786482334137, 0.9265063405036926, 0.9262223839759827, 0.9259355664253235, 0.9256461262702942, 0.9253525137901306, 0.9250542521476746, 0.9247531294822693, 0.9244479537010193, 0.9241389632225037, 0.923825204372406, 0.9235069155693054, 0.9231845736503601, 0.9228581786155701, 0.922527015209198, 0.9221917986869812, 0.9218519330024719, 0.9215076565742493, 0.9211614727973938, 0.9208115935325623, 0.9204577803611755, 0.9201021790504456, 0.9197421669960022, 0.9194298386573792, 0.919065535068512, 0.9186978936195374, 0.9183294177055359, 0.9179567694664001, 0.9175835251808167, 0.9172080159187317, 0.9168304800987244, 0.9164515137672424, 0.916071355342865, 0.9151989817619324, 0.9148176312446594, 0.9144344925880432, 0.914080798625946, 0.9136963486671448, 0.9133105874061584, 0.9129257798194885, 0.9125412106513977, 0.9120308756828308, 0.9116477370262146, 0.9112672209739685, 0.9108874201774597, 0.9103731513023376, 0.909997284412384, 0.9096229672431946, 0.9092504382133484, 0.9088801741600037, 0.9085107445716858, 0.9082408547401428, 0.9078767895698547, 0.9075141549110413, 0.9071539044380188, 0.9067959189414978, 0.9064392447471619, 0.9060855507850647, 0.9057332873344421, 0.9053834080696106, 0.9050320982933044], forces=[(0.0025117145851254463, -0.006202481687068939, 0.00496427807956934), (0.008465414866805077, -0.07771777361631393, 0.07884269952774048), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004634316544979811, -0.022047189995646477, 0.03519628196954727), (-0.013677042908966541, -0.023751769214868546, 0.03685707226395607), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002912574214860797, -0.027641426771879196, -0.0013619797537103295), (-0.007828008383512497, -0.008761726319789886, -0.07775052636861801), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006068678572773933, -0.004322189837694168, 0.029219280928373337), (-0.010367801412940025, -0.02176889032125473, 0.06787554919719696), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0033529717475175858, -0.009863645769655704, 0.03703339770436287), (-0.011740297079086304, -0.002005935413762927, 0.053497809916734695), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.018974358215928078, -0.0037538285832852125, 0.027954280376434326), (-0.04453442618250847, -0.0015016248216852546, 0.05484316870570183), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012363992631435394, -0.014912092126905918, 0.010197539813816547), (0.00583611661568284, -0.018178803846240044, 0.0613928847014904), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004495440516620874, -0.036498814821243286, 0.03503824770450592), (-0.0005909139872528613, -0.005384492222219706, 0.05086188763380051), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.038306258618831635, -0.047215867787599564, -0.029853492975234985), (-0.012327846139669418, -0.018074212595820427, 0.040089525282382965), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.07325886934995651, 0.0020039465744048357, -0.07333112508058548), (0.042096611112356186, -0.004011910408735275, 0.22601889073848724)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=28, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.878702402114868, -0.03985857591032982, 16.977935791015625), (1.414346694946289, 1.417339563369751, 18.85541343688965), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.845106363296509, 2.8155128955841064, 16.92786979675293), (1.4164437055587769, 4.222653865814209, 18.849809646606445), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.852065086364746, 5.64076566696167, 16.949922561645508), (1.420624852180481, 7.045896053314209, 18.860031127929688), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.654505729675293, -0.003555464092642069, 16.91847038269043), (4.259917736053467, 1.4318567514419556, 18.88149070739746), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.649898529052734, 2.820443630218506, 16.907472610473633), (4.249104022979736, 4.16121768951416, 18.91093635559082), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.635655879974365, 5.651206016540527, 16.95823860168457), (4.240786552429199, 7.186787128448486, 19.012502670288086), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.505584716796875, 0.010905358009040356, 16.8898868560791), (7.081875324249268, 1.4164937734603882, 18.84214210510254), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.484397888183594, 2.8137612342834473, 16.892427444458008), (7.106243133544922, 4.207867622375488, 18.82007598876953), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.48715877532959, 5.636974811553955, 16.897226333618164), (7.141327381134033, 7.0848708152771, 18.799951553344727), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.713958263397217, 6.080686569213867, 20.651308059692383), (5.65228271484375, 6.311371803283691, 20.863414764404297)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8375563025474548, energy_trajectory=[1.6734287738800049, 1.6553046703338623, 1.6424717903137207, 1.6303791999816895, 1.6189765930175781, 1.6075544357299805, 1.5964851379394531, 1.5860586166381836, 1.5755584239959717, 1.565298080444336, 1.5555260181427002, 1.5455775260925293, 1.5360610485076904, 1.5268540382385254, 1.5177505016326904, 1.5089538097381592, 1.5001344680786133, 1.4915807247161865, 1.4830982685089111, 1.4747669696807861, 1.4665813446044922, 1.4584417343139648, 1.4504783153533936, 1.4429006576538086, 1.4357106685638428, 1.4288091659545898, 1.422297716140747, 1.4159398078918457, 1.4096870422363281, 1.4038448333740234, 1.3981990814208984, 1.392770528793335, 1.3875291347503662, 1.3824632167816162, 1.3775596618652344, 1.3728127479553223, 1.3682079315185547, 1.363914966583252, 1.3595752716064453, 1.3553590774536133, 1.3512609004974365, 1.347102403640747, 1.3432245254516602, 1.3394463062286377, 1.335766077041626, 1.3321754932403564, 1.3286733627319336, 1.3252358436584473, 1.321899652481079, 1.3183848857879639, 1.3151991367340088, 1.3120815753936768, 1.309030532836914, 1.305908441543579, 1.302978515625, 1.3001062870025635, 1.2971527576446533, 1.2942891120910645, 1.291578769683838, 1.288914680480957, 1.286294937133789, 1.2837176322937012, 1.2811813354492188, 1.278684377670288, 1.2762231826782227, 1.273798942565918, 1.2714061737060547, 1.2690439224243164, 1.2668745517730713, 1.2645716667175293, 1.2622947692871094, 1.2599997520446777, 1.257772445678711, 1.2555675506591797, 1.2533972263336182, 1.2512280941009521, 1.2489891052246094, 1.2469508647918701, 1.2448298931121826, 1.24271821975708, 1.2406156063079834, 1.2380731105804443, 1.235992431640625, 1.2339630126953125, 1.2319812774658203, 1.2300543785095215, 1.2281582355499268, 1.2262992858886719, 1.2244758605957031, 1.2229087352752686, 1.2211525440216064, 1.2194249629974365, 1.217724084854126, 1.2160470485687256, 1.2145164012908936, 1.212883710861206, 1.2112667560577393, 1.2096667289733887, 1.2080819606781006, 1.2065107822418213, 1.204951286315918, 1.2034008502960205, 1.201859951019287, 1.2003259658813477, 1.1986925601959229, 1.197171688079834, 1.1956541538238525, 1.194141149520874, 1.1926302909851074, 1.1911218166351318, 1.1896142959594727, 1.1881084442138672, 1.1866014003753662, 1.1850967407226562, 1.1835901737213135, 1.182084560394287, 1.1804804801940918, 1.1789722442626953, 1.177461862564087, 1.175950527191162, 1.1744365692138672, 1.1729207038879395, 1.1714022159576416, 1.1698791980743408, 1.1685683727264404, 1.1670429706573486, 1.165515422821045, 1.163984775543213, 1.1624503135681152, 1.1609129905700684, 1.1593713760375977, 1.158113718032837, 1.1565628051757812, 1.1550078392028809, 1.1534488201141357, 1.1518828868865967, 1.1503112316131592, 1.148733377456665, 1.1471483707427979, 1.1455562114715576, 1.1439554691314697, 1.1423461437225342, 1.1407287120819092, 1.1391022205352783, 1.137465000152588, 1.1358182430267334, 1.1341614723205566, 1.1324944496154785, 1.1308164596557617, 1.1291279792785645, 1.1274285316467285, 1.125718116760254, 1.1239981651306152, 1.1222662925720215, 1.120525598526001, 1.1187739372253418, 1.117013931274414, 1.115243673324585, 1.1135094165802002, 1.1117219924926758, 1.1099259853363037, 1.1081228256225586, 1.1063120365142822, 1.1044962406158447, 1.1026740074157715, 1.1008472442626953, 1.0990147590637207, 1.0971791744232178, 1.0953397750854492, 1.0934956073760986, 1.0916504859924316, 1.089801549911499, 1.087951898574829, 1.086099624633789, 1.0841755867004395, 1.0823173522949219, 1.0804567337036133, 1.0785956382751465, 1.0767321586608887, 1.0748682022094727, 1.0730037689208984, 1.071136474609375, 1.0692691802978516, 1.067399501800537, 1.0655279159545898, 1.0636558532714844, 1.0617806911468506, 1.0596511363983154, 1.0577142238616943, 1.0558502674102783, 1.053985357284546, 1.052117109298706, 1.050248622894287, 1.0483789443969727, 1.0465068817138672, 1.044635534286499, 1.0427601337432861, 1.0408856868743896, 1.0390098094940186, 1.0370018482208252, 1.0351214408874512, 1.0332400798797607, 1.0313575267791748, 1.0294725894927979, 1.0275862216949463, 1.0256972312927246, 1.023805856704712, 1.0219130516052246, 1.020017147064209, 1.0181188583374023, 1.016218662261963, 1.0143160820007324, 1.0124096870422363, 1.0105013847351074, 1.0085899829864502, 1.0066766738891602, 1.0047607421875, 1.0028421878814697, 1.000920295715332, 0.9989953637123108, 0.9970676302909851, 0.9951388239860535, 0.9932045340538025, 0.9915297627449036, 0.9895949959754944, 0.9876582026481628, 0.9857169985771179, 0.9837744832038879, 0.9817922711372375, 0.9798051714897156, 0.977857768535614, 0.9758583903312683, 0.9739055037498474, 0.9721274971961975, 0.9701666235923767, 0.9682027697563171, 0.9662360548973083, 0.964264452457428, 0.9622896313667297, 0.9603119492530823, 0.9583287835121155, 0.9563425183296204, 0.9543518424034119, 0.9523577094078064, 0.9503598809242249, 0.9481790661811829, 0.9462104439735413, 0.9442011713981628, 0.9421891570091248, 0.9401722550392151, 0.9381510615348816, 0.9361254572868347, 0.9340961575508118, 0.9320632815361023, 0.9300268292427063, 0.9279859662055969, 0.9259421229362488, 0.9238939881324768, 0.921842634677887, 0.9197874665260315, 0.9177296757698059, 0.9156672358512878, 0.9136019349098206, 0.91153484582901, 0.9094623923301697, 0.9073880314826965, 0.9053085446357727, 0.9032263159751892, 0.9011397957801819, 0.8990485072135925, 0.8969538807868958, 0.8948542475700378, 0.8927502036094666, 0.8906416296958923, 0.8885273337364197, 0.8864074349403381, 0.8843229413032532, 0.8821926712989807, 0.8800556063652039, 0.8779135346412659, 0.8757839798927307, 0.8736656308174133, 0.8715588450431824, 0.8694637417793274, 0.8673784136772156, 0.8653039336204529, 0.863240659236908, 0.8611870408058167, 0.8591445088386536, 0.857111394405365, 0.8550880551338196, 0.8530740141868591, 0.8510702252388, 0.8490754961967468, 0.8470879197120667, 0.845294177532196, 0.8433229327201843, 0.8413600325584412, 0.8394041657447815, 0.8375563025474548], forces=[(-0.025357170030474663, 0.04088619723916054, -0.038834791630506516), (0.009403981268405914, 0.002104100538417697, 0.0157197043299675), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02020961232483387, 0.036555781960487366, 0.030677100643515587), (0.010854375548660755, 0.0069786845706403255, 0.0208857711404562), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008839186280965805, 0.008296293206512928, 0.01855519972741604), (-0.009091301821172237, 0.01796053536236286, 0.0024057242553681135), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004035780671983957, 0.007182433269917965, 0.004471395164728165), (0.003246529959142208, 0.03380083665251732, 0.012037483975291252), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003111892845481634, 0.025634640827775, 0.028697336092591286), (0.07089757919311523, 0.09438831359148026, 0.1274171769618988), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0015691414009779692, 0.009368907660245895, -0.004091575276106596), (0.006542553193867207, 0.03921489417552948, -0.01543993316590786), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0122537137940526, 0.002504253527149558, 0.0062466771341860294), (0.011358608491718769, 0.002647919813171029, 0.017436010763049126), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00140199379529804, 0.00883281510323286, 0.012212516739964485), (-0.016969341784715652, 0.040046121925115585, 0.04733064025640488), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0058967252261936665, 0.007437625899910927, 0.013427228666841984), (-0.06861835718154907, -0.020015662536025047, 0.050892386585474014), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.28216734528541565, -0.04301542043685913, 0.015292886644601822), (-0.18858550488948822, -0.2994098663330078, -0.10977838188409805)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=29, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8222975730895996, 0.026781145483255386, 16.9415283203125), (1.5971136093139648, 1.4243115186691284, 19.00445556640625), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8271548748016357, 2.8118820190429688, 16.931245803833008), (1.4383143186569214, 4.265547275543213, 18.830350875854492), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.834615707397461, 5.6521897315979, 16.887975692749023), (1.4319114685058594, 7.034818649291992, 18.83274269104004), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.671359539031982, 0.026216892525553703, 16.94278907775879), (4.2743821144104, 1.4221975803375244, 18.88138771057129), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.66914176940918, 2.8131914138793945, 16.93330192565918), (4.246695518493652, 4.259239673614502, 18.840293884277344), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6425604820251465, 5.650752544403076, 16.8903751373291), (4.243479251861572, 7.045315742492676, 18.84356689453125), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.476969718933105, 0.03386745974421501, 16.96660041809082), (6.965387344360352, 1.4432305097579956, 19.00682830810547), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.479134559631348, 2.80110239982605, 16.959623336791992), (7.058762073516846, 4.268498420715332, 18.835708618164062), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.468843460083008, 5.649560928344727, 16.900609970092773), (7.054006099700928, 7.0384111404418945, 18.836200714111328), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (0.05556401610374451, 1.4341545104980469, 20.45844268798828), (0.12075717747211456, 2.3540852069854736, 20.798803329467773)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.419442355632782, energy_trajectory=[1.2983589172363281, 1.286651611328125, 1.2752718925476074, 1.2637395858764648, 1.25309157371521, 1.2429590225219727, 1.2333121299743652, 1.2239561080932617, 1.2148065567016602, 1.2060201168060303, 1.1972744464874268, 1.1888208389282227, 1.1806015968322754, 1.1723194122314453, 1.1641480922698975, 1.1560676097869873, 1.1480355262756348, 1.1401622295379639, 1.1323308944702148, 1.1255183219909668, 1.1179742813110352, 1.1104278564453125, 1.1029436588287354, 1.0954341888427734, 1.0881109237670898, 1.0809693336486816, 1.0737049579620361, 1.0667400360107422, 1.059870958328247, 1.0531129837036133, 1.0464327335357666, 1.039881944656372, 1.033435344696045, 1.0270886421203613, 1.0208404064178467, 1.0146870613098145, 1.0086236000061035, 1.0026555061340332, 0.9968124032020569, 0.9910175204277039, 0.9853206276893616, 0.9797080159187317, 0.9741795659065247, 0.9687338471412659, 0.9633385539054871, 0.9580497145652771, 0.9528525471687317, 0.9478541016578674, 0.9427853226661682, 0.9377886652946472, 0.9328616261482239, 0.9280022978782654, 0.923210084438324, 0.9185965657234192, 0.9140775799751282, 0.9094782471656799, 0.9050084948539734, 0.9005138278007507, 0.8960891366004944, 0.891719400882721, 0.8874017596244812, 0.8830727934837341, 0.8790680766105652, 0.8749050498008728, 0.8707919716835022, 0.8663775324821472, 0.8623601794242859, 0.8583918213844299, 0.8544686436653137, 0.8506245017051697, 0.8467966914176941, 0.8431273102760315, 0.8393006920814514, 0.8356078267097473, 0.8319048285484314, 0.8282982707023621, 0.8247290253639221, 0.8211984038352966, 0.8177043795585632, 0.8142444491386414, 0.8108190894126892, 0.8074234127998352, 0.8040580153465271, 0.8002728819847107, 0.7969619631767273, 0.7936753630638123, 0.7904109358787537, 0.7871696352958679, 0.7839488387107849, 0.7807480692863464, 0.7775675654411316, 0.774405300617218, 0.7711772322654724, 0.7680529952049255, 0.7649454474449158, 0.7618564963340759, 0.758784830570221, 0.7557303309440613, 0.7542540431022644, 0.7512474656105042, 0.7482600808143616, 0.7452860474586487, 0.7425287365913391, 0.7392707467079163, 0.7363398671150208, 0.7334257960319519, 0.7305276989936829, 0.7276449799537659, 0.7245987057685852, 0.7217465043067932, 0.7189165949821472, 0.7158449292182922, 0.7130401730537415, 0.7102507948875427, 0.7074777483940125, 0.7048950791358948, 0.7021518349647522, 0.6994821429252625, 0.6967698931694031, 0.6940736174583435, 0.6913923621177673, 0.6887241005897522, 0.6860710978507996, 0.6834542155265808, 0.6808258891105652, 0.678211510181427, 0.6756075024604797, 0.673015296459198, 0.6704344153404236, 0.667866051197052, 0.6653086543083191, 0.6627610325813293, 0.660224974155426, 0.6576980948448181, 0.655182421207428, 0.6526771187782288, 0.6501813530921936, 0.6476952433586121, 0.6452187895774841, 0.6428201794624329, 0.6403612494468689, 0.6379116177558899, 0.6354438662528992, 0.633011519908905, 0.6305873990058899, 0.6281713843345642, 0.6262680888175964, 0.623867928981781, 0.6214757561683655, 0.6190899014472961, 0.6167135834693909, 0.6143442988395691, 0.6119845509529114, 0.6098913550376892, 0.6075465083122253, 0.6052109599113464, 0.602968156337738, 0.6006531119346619, 0.5983472466468811, 0.5960519909858704, 0.5937672257423401, 0.5914931893348694, 0.589231550693512, 0.5869809985160828, 0.584743082523346, 0.5825170874595642, 0.5800643563270569, 0.5778653025627136, 0.5756787657737732, 0.5735065340995789, 0.5713477730751038, 0.569201648235321, 0.5670691132545471, 0.5649517178535461, 0.562905490398407, 0.5608735680580139, 0.5587971806526184, 0.5566127896308899, 0.5545633435249329, 0.5525283217430115, 0.5505082011222839, 0.5485026240348816, 0.5465120673179626, 0.5445355772972107, 0.5425752997398376, 0.5405742526054382, 0.5386462807655334, 0.5367342829704285, 0.5348389744758606, 0.5329615473747253, 0.5311015248298645, 0.5292595028877258, 0.5274356007575989, 0.5256311297416687, 0.5238463282585144, 0.5220806002616882, 0.5203360915184021, 0.518610417842865, 0.5169060826301575, 0.5152216553688049, 0.5135570168495178, 0.5119121670722961, 0.5102890133857727, 0.5086833834648132, 0.5070980191230774, 0.505531370639801, 0.5039824843406677, 0.5024519562721252, 0.5009389519691467, 0.4994423985481262, 0.4978817105293274, 0.49641352891921997, 0.49495917558670044, 0.4932404160499573, 0.49181121587753296, 0.4903929829597473, 0.4889879822731018, 0.48759371042251587, 0.4862101674079895, 0.48483794927597046, 0.4834262728691101, 0.48191720247268677, 0.48057812452316284, 0.4792472720146179, 0.4779265522956848, 0.47661536931991577, 0.4753139615058899, 0.4740141034126282, 0.4727335572242737, 0.47146278619766235, 0.4701041579246521, 0.4688555598258972, 0.46761804819107056, 0.4666646122932434, 0.46545058488845825, 0.4642488360404968, 0.46306079626083374, 0.46188658475875854, 0.4607251286506653, 0.45961636304855347, 0.45831984281539917, 0.4572003483772278, 0.4560961127281189, 0.45500606298446655, 0.4539322257041931, 0.45289260149002075, 0.45184987783432007, 0.45082396268844604, 0.4498130679130554, 0.448819100856781, 0.4480956196784973, 0.4471384882926941, 0.4462006688117981, 0.44528132677078247, 0.4443814158439636, 0.44349974393844604, 0.4426373839378357, 0.44179099798202515, 0.44096237421035767, 0.44011563062667847, 0.43915826082229614, 0.4383806586265564, 0.4376186728477478, 0.43687254190444946, 0.43614131212234497, 0.43546634912490845, 0.43476444482803345, 0.43407636880874634, 0.43328672647476196, 0.43256694078445435, 0.431918203830719, 0.4312823414802551, 0.43065983057022095, 0.4300505518913269, 0.42945438623428345, 0.4288709759712219, 0.42830032110214233, 0.4277423024177551, 0.42719680070877075, 0.4266638159751892, 0.4261440634727478, 0.42563706636428833, 0.4251421093940735, 0.42466026544570923, 0.42419153451919556, 0.4237355589866638, 0.42329245805740356, 0.42286235094070435, 0.42216092348098755, 0.42175835371017456, 0.4213675856590271, 0.42099183797836304, 0.4209241271018982, 0.42083555459976196, 0.42060333490371704, 0.4202823042869568, 0.4198468327522278, 0.41954535245895386, 0.4197074770927429, 0.419442355632782], forces=[(0.019962793216109276, -0.028682328760623932, -0.02963561937212944), (-0.08574631810188293, -0.03741435334086418, -0.08736483752727509), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003619936527684331, 0.0015115768183022738, -0.00082726264372468), (-0.006502890028059483, -0.03167591989040375, 0.048400506377220154), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002766580553725362, -0.01240340806543827, 0.018507735803723335), (0.007254396099597216, 0.0004256778338458389, 0.03364042937755585), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016235966235399246, -0.01857670582830906, -0.019978681579232216), (-0.036211688071489334, -0.010083246044814587, 0.014703280292451382), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013059829361736774, 0.0058929272927343845, -0.005537309218198061), (-0.0008344895904883742, -0.006283131893724203, 0.035757288336753845), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003219290403649211, -0.006209691055119038, 0.013960372656583786), (0.0012714198091998696, 0.0022740482818335295, 0.034397631883621216), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0011471197940409184, -0.0162594523280859, -0.018071288242936134), (-0.026705902069807053, -0.015109144151210785, -0.07958308607339859), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0023074615746736526, 0.005856222938746214, -0.009334864094853401), (0.004545547999441624, -0.016218455508351326, 0.039211455732584), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0037219817750155926, -0.006651753094047308, 0.015250821597874165), (0.00010810009553097188, 0.0014171836664900184, 0.027526050806045532), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.07500127702951431, 0.04111488163471222, 0.01820029690861702), (-0.14442744851112366, -0.017698466777801514, 0.05239382013678551)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=30, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.843287229537964, -0.028343312442302704, 16.955896377563477), (1.3955199718475342, 1.419650912284851, 18.831928253173828), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8204684257507324, 2.8145594596862793, 16.896467208862305), (1.396994948387146, 4.219619274139404, 18.822494506835938), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8479208946228027, 5.662301063537598, 16.96750259399414), (1.3736238479614258, 7.0636491775512695, 18.833677291870117), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.6118316650390625, -0.03659474849700928, 16.95472526550293), (4.232574939727783, 1.4466626644134521, 18.86372184753418), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.643750190734863, 2.8097751140594482, 16.891687393188477), (4.241091728210449, 4.169438362121582, 18.837488174438477), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.621159076690674, 5.655276298522949, 16.950773239135742), (4.38579797744751, 7.215719699859619, 19.104427337646484), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.45811653137207, 0.003923226613551378, 16.89026641845703), (7.067325115203857, 1.4250671863555908, 18.836807250976562), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.462225914001465, 2.818281650543213, 16.885889053344727), (7.063267230987549, 4.217914581298828, 18.82862091064453), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.462921142578125, 5.642268657684326, 16.896787643432617), (7.09739875793457, 7.05817985534668, 18.85266876220703), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (3.9552114009857178, 6.447455406188965, 20.895244598388672), (4.37330961227417, 7.025630474090576, 21.56875228881836)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8956875205039978, energy_trajectory=[1.2818458080291748, 1.2692508697509766, 1.2589850425720215, 1.2490437030792236, 1.2394921779632568, 1.230074167251587, 1.2210464477539062, 1.2121307849884033, 1.2032520771026611, 1.1945343017578125, 1.1859545707702637, 1.177797555923462, 1.1696889400482178, 1.1617016792297363, 1.1537995338439941, 1.1462502479553223, 1.138918399810791, 1.131917953491211, 1.1255569458007812, 1.1187465190887451, 1.1120784282684326, 1.105625867843628, 1.0993051528930664, 1.093125343322754, 1.0870893001556396, 1.0811903476715088, 1.0753321647644043, 1.0696990489959717, 1.0641992092132568, 1.0589563846588135, 1.0537142753601074, 1.048485279083252, 1.0434043407440186, 1.0384631156921387, 1.033665657043457, 1.0290486812591553, 1.0245487689971924, 1.0203006267547607, 1.0160887241363525, 1.0121400356292725, 1.0083396434783936, 1.0047407150268555, 1.001220464706421, 0.9982134699821472, 0.9950026869773865, 0.9919251799583435, 0.9891112446784973, 0.9864433407783508, 0.9839171767234802, 0.9815708994865417, 0.9792768359184265, 0.9771459698677063, 0.9754026532173157, 0.9735346436500549, 0.9717510342597961, 0.9700688719749451, 0.9684529900550842, 0.9669517874717712, 0.9655309319496155, 0.96433025598526, 0.9630483984947205, 0.9618237614631653, 0.9606499075889587, 0.9598484635353088, 0.958856999874115, 0.9577870965003967, 0.9567421078681946, 0.955719530582428, 0.9547144770622253, 0.9537255167961121, 0.9527480006217957, 0.9517819285392761, 0.950803816318512, 0.9499550461769104, 0.9490181803703308, 0.9480897784233093, 0.9471719861030579, 0.9462628960609436, 0.9453628659248352, 0.9444758296012878, 0.9435996413230896, 0.9426901936531067, 0.9418368935585022, 0.9410234093666077, 0.9401935935020447, 0.9393752217292786, 0.9385691285133362, 0.9377755522727966, 0.9369922280311584, 0.9362195134162903, 0.9354577660560608, 0.9347065091133118, 0.9339655041694641, 0.9331838488578796, 0.9324589371681213, 0.9317418932914734, 0.9309329390525818, 0.9302329421043396, 0.9295390248298645, 0.9288538098335266, 0.9281733632087708, 0.9275007843971252, 0.9268363118171692, 0.9261775612831116, 0.9255253672599792, 0.9248798489570618, 0.9242029786109924, 0.9235785603523254, 0.9229603409767151, 0.9223478436470032, 0.9219639897346497, 0.9213659167289734, 0.9207744002342224, 0.9201895594596863, 0.9196006655693054, 0.9190295338630676, 0.9184619784355164, 0.9179880023002625, 0.9174322485923767, 0.9168824553489685, 0.9163375496864319, 0.9158009886741638, 0.9152707457542419, 0.9147475361824036, 0.9142308831214905, 0.913722574710846, 0.9132217764854431, 0.9127288460731506, 0.9122447371482849, 0.9117687344551086, 0.9113005995750427, 0.9108427166938782, 0.9103931784629822, 0.9099529385566711, 0.9095221161842346, 0.9091014266014099, 0.9086911082267761, 0.9082911610603333, 0.9079026579856873, 0.9075250029563904, 0.9071587920188904, 0.9068023562431335, 0.9064574837684631, 0.9061246514320374, 0.9058029055595398, 0.9054928421974182, 0.9051926732063293, 0.904904305934906, 0.9046273827552795, 0.9043617844581604, 0.904107391834259, 0.9038637280464172, 0.9036298394203186, 0.9034073948860168, 0.9033063054084778, 0.9031044840812683, 0.9029108881950378, 0.902725875377655, 0.902550995349884, 0.9023829102516174, 0.9022238850593567, 0.9002992510795593, 0.9001602530479431, 0.9000292420387268, 0.8999035954475403, 0.8997848629951477, 0.899651825428009, 0.8995465636253357, 0.8994466662406921, 0.8993526101112366, 0.8992646336555481, 0.8991809487342834, 0.8991029858589172, 0.8990303874015808, 0.8989625573158264, 0.8988999724388123, 0.8988415598869324, 0.8987898230552673, 0.8987428545951843, 0.8987005352973938, 0.8986634612083435, 0.8984218239784241, 0.8983929753303528, 0.8983717560768127, 0.8983556628227234, 0.898345410823822, 0.8983392119407654, 0.8983399271965027, 0.8983448147773743, 0.8983561396598816, 0.8983719944953918, 0.8983766436576843, 0.8983998894691467, 0.8984270691871643, 0.8984581828117371, 0.8984934687614441, 0.8985313773155212, 0.8985727429389954, 0.8986157774925232, 0.8986615538597107, 0.898709237575531, 0.8987573981285095, 0.8988057971000671, 0.8988550305366516, 0.8989042639732361, 0.8989517092704773, 0.8989984393119812, 0.8990426659584045, 0.8989012837409973, 0.8989410996437073, 0.8989775776863098, 0.8990126252174377, 0.8989325165748596, 0.8989582657814026, 0.899285614490509, 0.8994869589805603, 0.899502694606781, 0.8995125889778137, 0.8995171189308167, 0.899516761302948, 0.8995105624198914, 0.8995001912117004, 0.8994835019111633, 0.8994616866111755, 0.8994356989860535, 0.8994086384773254, 0.8993714451789856, 0.8993293642997742, 0.8992817997932434, 0.8992324471473694, 0.8991784453392029, 0.8993557095527649, 0.8992944359779358, 0.8992331624031067, 0.8991661667823792, 0.899097740650177, 0.8990280032157898, 0.8989554047584534, 0.8988822102546692, 0.8988072276115417, 0.8987314105033875, 0.89873868227005, 0.8988153338432312, 0.898737370967865, 0.8986591696739197, 0.8985967040061951, 0.8985199332237244, 0.898442804813385, 0.8982612490653992, 0.8981873393058777, 0.898070752620697, 0.8979973196983337, 0.8979249596595764, 0.8978551030158997, 0.8977866768836975, 0.89771968126297, 0.8976556658744812, 0.8973919749259949, 0.8973326086997986, 0.8972765803337097, 0.8972219824790955, 0.8971717953681946, 0.8968848586082458, 0.8968413472175598, 0.8967999815940857, 0.8968507647514343, 0.8968154788017273, 0.8967824578285217, 0.8969050049781799, 0.8968774676322937, 0.8972335457801819, 0.8972087502479553, 0.8971858620643616, 0.8972812294960022, 0.8972086310386658, 0.8977521061897278, 0.8977858424186707, 0.8978402018547058, 0.8978368639945984, 0.8978374600410461, 0.8978386521339417, 0.897337019443512, 0.8973492980003357, 0.895772397518158, 0.8957805037498474, 0.8957868218421936, 0.8957945704460144, 0.8958030343055725, 0.8958106637001038, 0.8958187699317932, 0.8958277106285095, 0.8958376049995422, 0.8958469033241272, 0.895855724811554, 0.8958638310432434, 0.8958724141120911, 0.8956648707389832, 0.8956722617149353, 0.8956800103187561, 0.8956875205039978], forces=[(0.00017374320304952562, 0.008619028143584728, 0.006404852960258722), (0.015034923329949379, 1.3721752111450769e-05, 0.04868602752685547), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002480876399204135, 0.0021587905939668417, 0.027418291196227074), (0.014723156578838825, 0.0060295527800917625, 0.051405709236860275), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007861894555389881, -0.011516440659761429, -0.008583517745137215), (0.019791018217802048, -0.005026024766266346, 0.03506701812148094), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009785357862710953, 0.012116469442844391, 0.012332430109381676), (0.007538995705544949, -0.0035740425810217857, 0.028909096494317055), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006482988595962524, 0.005943270865827799, 0.028594324365258217), (0.0033427292946726084, 0.024787092581391335, 0.031147029250860214), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01004276517778635, -0.0001630956685403362, 0.008368605747818947), (-0.0881609171628952, -0.07780340313911438, -0.04610811918973923), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008483021520078182, 0.0020960657857358456, 0.029082100838422775), (0.0033664535731077194, -0.0015571312978863716, 0.04470391198992729), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004704754333943129, 0.0024834759533405304, 0.03578566759824753), (0.006095839198678732, 0.010255721397697926, 0.048772264271974564), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005435196217149496, -0.0006214937893673778, 0.02837769128382206), (-0.014227920211851597, 0.006103677675127983, 0.029847964644432068), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.08654263615608215, 0.1516864001750946, 0.018814850598573685), (0.0523027703166008, -0.058606717735528946, -0.03967798501253128)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=31, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.792262554168701, -0.04649430513381958, 16.957429885864258), (1.413452386856079, 1.40336012840271, 18.83519744873047), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8219823837280273, 2.8053367137908936, 16.88722801208496), (1.4204672574996948, 4.132608413696289, 18.8583927154541), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.7871572971343994, 5.656104564666748, 16.961389541625977), (1.5085349082946777, 6.8111467361450195, 19.20432472229004), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.639946460723877, -0.016935333609580994, 16.897523880004883), (4.236501216888428, 1.393839955329895, 18.82170867919922), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.641679763793945, 2.8073997497558594, 16.88172149658203), (4.250004768371582, 4.18906307220459, 18.824180603027344), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6413469314575195, 5.628244400024414, 16.890859603881836), (4.258810997009277, 7.0210161209106445, 18.845922470092773), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.494234085083008, -0.04755624011158943, 16.963544845581055), (7.042454242706299, 1.3949123620986938, 18.816999435424805), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.463327407836914, 2.8064651489257812, 16.891672134399414), (7.041861534118652, 4.199419975280762, 18.821556091308594), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.49694538116455, 5.653733730316162, 16.95958137512207), (7.039070129394531, 7.020135402679443, 18.83102798461914), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.2970938682556152, 7.345532417297363, 21.105575561523438), (2.114483118057251, 7.803805351257324, 21.40357780456543)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.9077535271644592, energy_trajectory=[1.1820929050445557, 1.1707160472869873, 1.161365032196045, 1.15236496925354, 1.1437737941741943, 1.1352989673614502, 1.1268012523651123, 1.1182482242584229, 1.1101138591766357, 1.101982831954956, 1.0938115119934082, 1.0860071182250977, 1.078080415725708, 1.070213794708252, 1.0623931884765625, 1.0544357299804688, 1.046724796295166, 1.0391013622283936, 1.0316288471221924, 1.0241649150848389, 1.017174482345581, 1.0100784301757812, 1.0032985210418701, 0.9968037009239197, 0.9884476065635681, 0.9824580550193787, 0.9767641425132751, 0.971238911151886, 0.9659184813499451, 0.9608780741691589, 0.95602947473526, 0.951265275478363, 0.9466732144355774, 0.942229688167572, 0.9379563927650452, 0.9338214993476868, 0.9297296404838562, 0.9258924126625061, 0.9221848845481873, 0.9186257719993591, 0.9151975512504578, 0.9118993878364563, 0.908728301525116, 0.9056807160377502, 0.9027559161186218, 0.8999597430229187, 0.8973063826560974, 0.8947567343711853, 0.8923082947731018, 0.8898147940635681, 0.8876058459281921, 0.8856591582298279, 0.8836643099784851, 0.8817809224128723, 0.879916250705719, 0.8782526850700378, 0.8766962885856628, 0.8752420544624329, 0.8738885521888733, 0.8726826310157776, 0.8716796040534973, 0.8705983757972717, 0.869717538356781, 0.8687670826911926, 0.8677967190742493, 0.8668209910392761, 0.8660005927085876, 0.8652042746543884, 0.8665624260902405, 0.8657906651496887, 0.8650251030921936, 0.8642627596855164, 0.8633303046226501, 0.8625649809837341, 0.8618002533912659, 0.8609251379966736, 0.8601601719856262, 0.8593977093696594, 0.8586421608924866, 0.857894241809845, 0.8571645617485046, 0.8564533591270447, 0.8557716012001038, 0.855121910572052, 0.8545151352882385, 0.8539549708366394, 0.8534459471702576, 0.8529910445213318, 0.8525915741920471, 0.8522463440895081, 0.8519553542137146, 0.8515830636024475, 0.8513931632041931, 0.8513659834861755, 0.8512648940086365, 0.8512024283409119, 0.8511800169944763, 0.851193368434906, 0.8512404561042786, 0.8513182997703552, 0.8514294028282166, 0.8515663743019104, 0.8516877293586731, 0.8518765568733215, 0.8520888686180115, 0.8523246645927429, 0.8525828719139099, 0.8530797362327576, 0.8533774018287659, 0.8536943793296814, 0.8543075919151306, 0.8546616435050964, 0.8550333380699158, 0.8554216027259827, 0.855826199054718, 0.8560953736305237, 0.8565313220024109, 0.8569828867912292, 0.8574493527412415, 0.8579301238059998, 0.8584256768226624, 0.8589348196983337, 0.8594570755958557, 0.8599928021430969, 0.8605405688285828, 0.861100971698761, 0.8616728186607361, 0.8622577786445618, 0.8628538250923157, 0.8634621500968933, 0.8640804886817932, 0.8647099137306213, 0.8653489947319031, 0.8627477288246155, 0.8633927702903748, 0.8640487790107727, 0.8647119402885437, 0.8653853535652161, 0.866066038608551, 0.866820752620697, 0.867516815662384, 0.8682214617729187, 0.868931233882904, 0.8696483969688416, 0.8703739047050476, 0.8711054921150208, 0.8718401789665222, 0.8725846409797668, 0.8733351826667786, 0.8740848898887634, 0.8746868968009949, 0.8754515051841736, 0.8762214779853821, 0.8769960999488831, 0.8777770400047302, 0.8785582184791565, 0.8793452382087708, 0.8800020813941956, 0.8807961344718933, 0.8815938830375671, 0.8823928236961365, 0.8831953406333923, 0.8839992880821228, 0.8851539492607117, 0.8859485983848572, 0.8867538571357727, 0.8875585198402405, 0.8883634209632874, 0.8891686797142029, 0.8899738192558289, 0.8907788395881653, 0.8915829062461853, 0.8923869729042053, 0.8931899666786194, 0.8939933180809021, 0.8947948813438416, 0.8954558968544006, 0.8962534070014954, 0.8967607617378235, 0.897556722164154, 0.898348867893219, 0.8991397023200989, 0.8999263644218445, 0.9005082249641418, 0.9012896418571472, 0.9020199179649353, 0.9027926325798035, 0.9035603404045105, 0.9043217301368713, 0.9050784707069397, 0.9058257937431335, 0.9065677523612976, 0.9072996973991394, 0.908024251461029, 0.9087373614311218, 0.9094414114952087, 0.9101349711418152, 0.9108192324638367, 0.9114919304847717, 0.9121530652046204, 0.9128028750419617, 0.9134405255317688, 0.9140647053718567, 0.914675772190094, 0.9152738451957703, 0.9158599972724915, 0.9157608151435852, 0.9163148999214172, 0.9167924523353577, 0.9173216223716736, 0.9178333878517151, 0.9183290600776672, 0.9188087582588196, 0.9192711710929871, 0.9197177290916443, 0.9200869202613831, 0.9191873669624329, 0.9195862412452698, 0.9199650883674622, 0.9203271269798279, 0.9206449389457703, 0.9209697842597961, 0.9213783144950867, 0.9216635823249817, 0.9219310879707336, 0.9221814274787903, 0.9224128127098083, 0.9226265549659729, 0.9228202700614929, 0.9229986071586609, 0.9231567978858948, 0.9234008193016052, 0.923523485660553, 0.9238764643669128, 0.9240362048149109, 0.9241084456443787, 0.9241638779640198, 0.9239962697029114, 0.924016535282135, 0.9240218997001648, 0.9240099787712097, 0.9239819645881653, 0.9239397644996643, 0.9238815903663635, 0.9237255454063416, 0.9236372113227844, 0.9235343337059021, 0.9234175086021423, 0.9232863783836365, 0.9231416583061218, 0.922396719455719, 0.9222232699394226, 0.9220378994941711, 0.9218400120735168, 0.9216273427009583, 0.9214032292366028, 0.9212453961372375, 0.9209951758384705, 0.9207325577735901, 0.9204608798027039, 0.9201766848564148, 0.9198834300041199, 0.9195807576179504, 0.9192671179771423, 0.9189460873603821, 0.9186152815818787, 0.9182758927345276, 0.9179275631904602, 0.9175711274147034, 0.9172083735466003, 0.9168383479118347, 0.9164627194404602, 0.918799102306366, 0.919039785861969, 0.9184247851371765, 0.9182080626487732, 0.9177984595298767, 0.9171732068061829, 0.916753351688385, 0.9163296818733215, 0.9160640835762024, 0.9156306385993958, 0.9151927828788757, 0.9147545695304871, 0.9143106341362, 0.9138653874397278, 0.9134178757667542, 0.9129694104194641, 0.9125170111656189, 0.9120652079582214, 0.9116112589836121, 0.9111555218696594, 0.9107001423835754, 0.9102416634559631, 0.9097856879234314, 0.9093278050422668, 0.9091301560401917, 0.9086701273918152, 0.9082123637199402, 0.9077535271644592], forces=[(0.025009436532855034, 0.021664367988705635, 0.002317225094884634), (0.006531806662678719, -0.005023556761443615, 0.04897792637348175), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0058281575329601765, 0.0077809859067201614, 0.047858964651823044), (-0.003172019263729453, 0.05429985746741295, 0.051709435880184174), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01892990432679653, -0.006589777301996946, 0.022228963673114777), (-0.08428347110748291, 0.2020707130432129, -0.1521567702293396), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007522234693169594, 0.00715218298137188, 0.03932657837867737), (0.007277424447238445, -0.0028449655510485172, 0.08011969923973083), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0021870832424610853, 0.002045836765319109, 0.056671541184186935), (-0.004745409358292818, 0.010749206878244877, 0.0814434289932251), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004824391566216946, -0.004243987146764994, 0.04434802010655403), (0.0010828315280377865, 0.011459143832325935, 0.05103422701358795), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01297061052173376, 0.018694279715418816, -0.000148588718730025), (0.012563849799335003, -0.0042422013357281685, 0.08149324357509613), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0009982981719076633, 0.0036517258267849684, 0.04489367827773094), (0.011322150006890297, -0.0003544439096003771, 0.08259329944849014), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0091506103053689, -0.009328541345894337, 0.016808949410915375), (0.009580870158970356, 0.007871913723647594, 0.06267359107732773), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.08515238016843796, 0.07643511891365051, -0.07149923592805862), (-0.07248169928789139, -0.12123919278383255, -0.1119561642408371)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=32, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.845384120941162, -0.034486472606658936, 16.95792007446289), (1.4140006303787231, 1.4153825044631958, 18.856050491333008), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8135414123535156, 2.797940731048584, 16.89430809020996), (1.4121524095535278, 4.204825401306152, 18.849075317382812), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.834651231765747, 5.640364170074463, 16.92734146118164), (1.4295250177383423, 7.02416467666626, 18.88172721862793), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.642956733703613, -0.025748996064066887, 16.948265075683594), (4.2377238273620605, 1.4190596342086792, 18.86030387878418), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.641742706298828, 2.805633544921875, 16.901697158813477), (4.204596042633057, 4.175541400909424, 18.81879997253418), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.640512466430664, 5.651853561401367, 16.95774269104004), (4.121931552886963, 7.087515830993652, 19.005067825317383), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.460997581481934, -0.0345500223338604, 16.943143844604492), (7.062275409698486, 1.4092497825622559, 18.848735809326172), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.475037574768066, 2.7972571849823, 16.890222549438477), (7.08339262008667, 4.165067195892334, 18.811954498291016), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.47037410736084, 5.633188724517822, 16.91384506225586), (7.1990861892700195, 7.058592796325684, 18.935733795166016), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.714797019958496, 6.713632583618164, 20.4069766998291), (5.783017635345459, 7.42080545425415, 21.083629608154297)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4931415915489197, energy_trajectory=[1.6068294048309326, 1.5877678394317627, 1.5737805366516113, 1.56083345413208, 1.5487608909606934, 1.5363025665283203, 1.5247292518615723, 1.5137712955474854, 1.5034208297729492, 1.493401050567627, 1.483889102935791, 1.4747073650360107, 1.4661622047424316, 1.4576363563537598, 1.4492113590240479, 1.440958023071289, 1.4327590465545654, 1.4250364303588867, 1.4172172546386719, 1.4096128940582275, 1.4022026062011719, 1.3949120044708252, 1.3877394199371338, 1.3806729316711426, 1.3737099170684814, 1.3668465614318848, 1.3600811958312988, 1.3534045219421387, 1.346813678741455, 1.3403069972991943, 1.3338775634765625, 1.3264758586883545, 1.320199728012085, 1.3139872550964355, 1.3078663349151611, 1.3017802238464355, 1.295945167541504, 1.2899751663208008, 1.2840533256530762, 1.2781779766082764, 1.2723443508148193, 1.266547441482544, 1.2607898712158203, 1.2550671100616455, 1.249375820159912, 1.243717908859253, 1.2380902767181396, 1.2324895858764648, 1.2269136905670166, 1.2213597297668457, 1.215832233428955, 1.210322380065918, 1.204833984375, 1.1993587017059326, 1.1938648223876953, 1.188432216644287, 1.183016061782837, 1.177614688873291, 1.1722381114959717, 1.166877269744873, 1.1615355014801025, 1.1562142372131348, 1.1509108543395996, 1.1456313133239746, 1.14027738571167, 1.135040521621704, 1.1298234462738037, 1.1246328353881836, 1.1194627285003662, 1.1143131256103516, 1.1091835498809814, 1.1040723323822021, 1.0989835262298584, 1.0939140319824219, 1.0888590812683105, 1.0837628841400146, 1.0787343978881836, 1.0736503601074219, 1.0686492919921875, 1.0636601448059082, 1.0586841106414795, 1.0537199974060059, 1.048771619796753, 1.0438365936279297, 1.0389175415039062, 1.0340120792388916, 1.0291235446929932, 1.0242505073547363, 1.0193934440612793, 1.014552354812622, 1.0093772411346436, 1.0045716762542725, 0.9997850060462952, 0.9950159192085266, 0.9902661442756653, 0.9855363965034485, 0.9808271527290344, 0.9761354327201843, 0.9716008305549622, 0.9669532179832458, 0.9623264670372009, 0.9577228426933289, 0.9531380534172058, 0.9485732913017273, 0.9440281987190247, 0.9396705031394958, 0.9343401789665222, 0.9298802018165588, 0.9254253506660461, 0.9209931492805481, 0.9165807366371155, 0.9121904969215393, 0.9078207612037659, 0.903550922870636, 0.8992219567298889, 0.8949132561683655, 0.8906248211860657, 0.886410653591156, 0.8821620345115662, 0.8779297471046448, 0.8737199902534485, 0.8695284724235535, 0.865355908870697, 0.8612064719200134, 0.857075035572052, 0.8529661297798157, 0.8488758206367493, 0.8448074460029602, 0.8407576680183411, 0.8367289900779724, 0.8327222466468811, 0.8287366032600403, 0.8247717022895813, 0.8208282589912415, 0.8169072270393372, 0.8130093216896057, 0.8091349005699158, 0.8052820563316345, 0.8014574646949768, 0.7976539731025696, 0.793878972530365, 0.7901086211204529, 0.7863842844963074, 0.7826870083808899, 0.7790903449058533, 0.7754473090171814, 0.7718304991722107, 0.7682415843009949, 0.7646816372871399, 0.761055052280426, 0.7575512528419495, 0.7540778517723083, 0.7506324648857117, 0.7471025586128235, 0.7437127232551575, 0.7403518557548523, 0.7370204329490662, 0.733717143535614, 0.7303358912467957, 0.7269765734672546, 0.7237650752067566, 0.7205818295478821, 0.7174291014671326, 0.7143035531044006, 0.7112066149711609, 0.7081397175788879, 0.7051026225090027, 0.7020934224128723, 0.6991128325462341, 0.6961608529090881, 0.6932384371757507, 0.6902158856391907, 0.687350332736969, 0.6845127940177917, 0.6817037463188171, 0.678663432598114, 0.675982654094696, 0.6732547879219055, 0.6705548167228699, 0.667881190776825, 0.6652352213859558, 0.6626175045967102, 0.660026490688324, 0.6574612259864807, 0.6549229025840759, 0.6524115204811096, 0.6499269604682922, 0.6474677920341492, 0.6451854109764099, 0.6427778601646423, 0.640289843082428, 0.6379303336143494, 0.635597288608551, 0.6339985728263855, 0.6317183375358582, 0.6294640898704529, 0.6272333264350891, 0.625026524066925, 0.6228447556495667, 0.6206874251365662, 0.6185546517372131, 0.6164787411689758, 0.6143938899040222, 0.6123326420783997, 0.6102939248085022, 0.6084187626838684, 0.6065478920936584, 0.6045817732810974, 0.6026389002799988, 0.6007174849510193, 0.5988187193870544, 0.5969701409339905, 0.5951129794120789, 0.593446671962738, 0.5916330218315125, 0.5898421406745911, 0.588073194026947, 0.5863271355628967, 0.5846032500267029, 0.5829009413719177, 0.5812204480171204, 0.5795596241950989, 0.5779212117195129, 0.5761972069740295, 0.5745963454246521, 0.5730164647102356, 0.5714564919471741, 0.5699160695075989, 0.56839519739151, 0.5668933987617493, 0.5654117465019226, 0.5639473795890808, 0.562501847743988, 0.5610749125480652, 0.5596649050712585, 0.5582725405693054, 0.5568966269493103, 0.5555376410484314, 0.5541940331459045, 0.5528662800788879, 0.5515547394752502, 0.5502583384513855, 0.5489766001701355, 0.5476776957511902, 0.5455308556556702, 0.5448704361915588, 0.5436564087867737, 0.5424548983573914, 0.5412653088569641, 0.5400891900062561, 0.5389259457588196, 0.5377746224403381, 0.5366359353065491, 0.5355098843574524, 0.5343945622444153, 0.5332915186882019, 0.5322001576423645, 0.5302971005439758, 0.529225766658783, 0.5281652808189392, 0.5271160006523132, 0.5260769724845886, 0.5250478386878967, 0.5240297913551331, 0.5230219960212708, 0.5220246911048889, 0.521037757396698, 0.5200607180595398, 0.5190933346748352, 0.5181369185447693, 0.5173066258430481, 0.5163677334785461, 0.5154384970664978, 0.5145179629325867, 0.5136070847511292, 0.5127049088478088, 0.5118131041526794, 0.5109290480613708, 0.5100541710853577, 0.5091878771781921, 0.5082572102546692, 0.5074087977409363, 0.506567656993866, 0.5057352185249329, 0.5049089789390564, 0.5040908455848694, 0.503279983997345, 0.5024757981300354, 0.5016346573829651, 0.5008439421653748, 0.5000606179237366, 0.499128520488739, 0.49835842847824097, 0.4975948929786682, 0.4968368411064148, 0.4960862994194031, 0.4953412413597107, 0.4946015477180481, 0.4938691258430481, 0.4931415915489197], forces=[(-0.016778694465756416, 0.018544962629675865, -0.035575177520513535), (0.005321273114532232, -0.009495877660810947, 0.015314586460590363), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00852737482637167, 0.00719251437112689, -0.0047798166051507), (0.0030450487975031137, -0.00870751217007637, 0.012167041189968586), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0019994734320789576, 0.001745919929817319, -0.001803117454983294), (0.000961695215664804, -0.003022745717316866, 0.020082425326108932), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0066171265207231045, -0.011661962606012821, 0.011566280387341976), (-0.0008794566383585334, -0.00947224348783493, 0.014357993379235268), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0016891551204025745, 0.003206724999472499, -0.004121752921491861), (0.0305430069565773, 0.041870277374982834, 0.042949024587869644), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009160110726952553, 0.013558841310441494, 0.015169849619269371), (0.05684782564640045, -0.03220557048916817, -0.023264115676283836), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010379425249993801, 0.011231809854507446, -0.022473592311143875), (0.007663308642804623, -0.005585190840065479, 0.014607383869588375), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0017720558680593967, 0.004640660714358091, -0.005223349668085575), (-0.015940632671117783, 0.0423983633518219, 0.03580057993531227), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014207715168595314, 0.015861012041568756, 0.02073233760893345), (-0.05592036619782448, 0.020863570272922516, 0.10631941258907318), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.06091291084885597, 0.13811685144901276, 0.10540372878313065), (-0.09961027652025223, 0.08828477561473846, -0.12544961273670197)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=33, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8161537647247314, -0.021135199815034866, 16.919431686401367), (1.3983354568481445, 1.3730114698410034, 18.895870208740234), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.842850923538208, 2.7641985416412354, 16.982421875), (1.4101593494415283, 4.2255988121032715, 18.872207641601562), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.809473991394043, 5.597662448883057, 16.894521713256836), (1.4092642068862915, 7.018002510070801, 18.85747528076172), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.640381336212158, -0.008601708337664604, 16.94769859313965), (4.132785320281982, 1.3812607526779175, 18.97210121154785), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.64117431640625, 2.789275646209717, 16.950061798095703), (4.235640048980713, 4.213015079498291, 18.871530532836914), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.643771171569824, 5.611852169036865, 16.90227699279785), (4.188859462738037, 6.944910049438477, 18.817230224609375), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.46164321899414, -0.0159878171980381, 16.920486450195312), (7.125292778015137, 1.3865529298782349, 18.98472785949707), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.439316749572754, 2.7675600051879883, 16.977624893188477), (7.053382873535156, 4.218563079833984, 18.869678497314453), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.480597496032715, 5.597901821136475, 16.890119552612305), (7.099534034729004, 6.955201625823975, 18.810182571411133), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.606765270233154, 0.8337947726249695, 20.423477172851562), (5.658215045928955, -0.16714458167552948, 20.360851287841797)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.6160655617713928, energy_trajectory=[2.190178394317627, 2.1678824424743652, 2.1490375995635986, 2.131307601928711, 2.1147594451904297, 2.099000930786133, 2.084092855453491, 2.0699386596679688, 2.0565989017486572, 2.0438106060028076, 2.0316247940063477, 2.0199077129364014, 2.008527994155884, 1.9975152015686035, 1.9867966175079346, 1.9765980243682861, 1.966209888458252, 1.9561686515808105, 1.9463140964508057, 1.9365756511688232, 1.9270732402801514, 1.917738437652588, 1.9086267948150635, 1.8996031284332275, 1.8907325267791748, 1.8820130825042725, 1.8734467029571533, 1.8650190830230713, 1.8567276000976562, 1.8485755920410156, 1.840559482574463, 1.8326716423034668, 1.8249006271362305, 1.8172540664672852, 1.809720516204834, 1.802337884902954, 1.7950177192687988, 1.7881801128387451, 1.7810826301574707, 1.7741296291351318, 1.7672064304351807, 1.7603673934936523, 1.7536029815673828, 1.7469093799591064, 1.7400708198547363, 1.7335050106048584, 1.7270464897155762, 1.7206003665924072, 1.7142033576965332, 1.7078468799591064, 1.7015321254730225, 1.6953246593475342, 1.6887316703796387, 1.6825029850006104, 1.6761977672576904, 1.670034408569336, 1.6638460159301758, 1.6577346324920654, 1.6513996124267578, 1.6453490257263184, 1.639326810836792, 1.6333990097045898, 1.6274287700653076, 1.6214909553527832, 1.6155853271484375, 1.6096112728118896, 1.6035215854644775, 1.5977025032043457, 1.591919183731079, 1.5860857963562012, 1.5803031921386719, 1.574601173400879, 1.568920373916626, 1.5632636547088623, 1.5574419498443604, 1.5519096851348877, 1.5463049411773682, 1.5407085418701172, 1.5351214408874512, 1.5295448303222656, 1.5239770412445068, 1.5184168815612793, 1.5128662586212158, 1.5073258876800537, 1.5017900466918945, 1.4962775707244873, 1.4907758235931396, 1.4852874279022217, 1.479811191558838, 1.4743461608886719, 1.4688949584960938, 1.4634575843811035, 1.4580323696136475, 1.4526207447052002, 1.4470772743225098, 1.441697120666504, 1.4363281726837158, 1.4309720993041992, 1.4256277084350586, 1.4202961921691895, 1.4149761199951172, 1.4096362590789795, 1.4043335914611816, 1.3990297317504883, 1.3937253952026367, 1.3884251117706299, 1.3831310272216797, 1.3778464794158936, 1.3725709915161133, 1.367307186126709, 1.3620553016662598, 1.3568150997161865, 1.351588487625122, 1.3463730812072754, 1.3411693572998047, 1.3359789848327637, 1.3308029174804688, 1.3256375789642334, 1.320369005203247, 1.3152308464050293, 1.3101050853729248, 1.304992437362671, 1.2998931407928467, 1.2948074340820312, 1.289630651473999, 1.284574270248413, 1.2795326709747314, 1.274505376815796, 1.2694916725158691, 1.264491081237793, 1.2595043182373047, 1.254530429840088, 1.249570608139038, 1.2446215152740479, 1.2396841049194336, 1.234757900238037, 1.2298414707183838, 1.2249350547790527, 1.220038652420044, 1.2151527404785156, 1.2102751731872559, 1.2054064273834229, 1.200545310974121, 1.1958575248718262, 1.1910133361816406, 1.186178207397461, 1.1813504695892334, 1.1765315532684326, 1.1717190742492676, 1.1669158935546875, 1.1621201038360596, 1.157332181930542, 1.1525535583496094, 1.1477837562561035, 1.143022060394287, 1.1385669708251953, 1.134023904800415, 1.1292884349822998, 1.1245622634887695, 1.1198453903198242, 1.1151371002197266, 1.1104378700256348, 1.1057474613189697, 1.1010653972625732, 1.0963916778564453, 1.0917270183563232, 1.0870699882507324, 1.0824220180511475, 1.0779383182525635, 1.0731816291809082, 1.0685617923736572, 1.063798189163208, 1.0591914653778076, 1.0545923709869385, 1.0500011444091797, 1.0454185009002686, 1.0408434867858887, 1.0362780094146729, 1.0317199230194092, 1.027172565460205, 1.0226342678070068, 1.0180706977844238, 1.0135514736175537, 1.0090432167053223, 1.004547119140625, 0.999979555606842, 0.9955090880393982, 0.9910538792610168, 0.9866109490394592, 0.9821831583976746, 0.9777697920799255, 0.9733722805976868, 0.9689901471138, 0.9646250605583191, 0.9602774977684021, 0.9559454321861267, 0.9513999819755554, 0.9471051096916199, 0.942828357219696, 0.9385679364204407, 0.9343239665031433, 0.93010014295578, 0.9258925318717957, 0.9217038750648499, 0.917532742023468, 0.9133802056312561, 0.9092455506324768, 0.9051290154457092, 0.9010854363441467, 0.8970039486885071, 0.8929393887519836, 0.8888933062553406, 0.8848636746406555, 0.880852997303009, 0.8768588900566101, 0.8728803992271423, 0.868863046169281, 0.864854633808136, 0.8609245419502258, 0.857011616230011, 0.8531154990196228, 0.8492361903190613, 0.8453730940818787, 0.8415288329124451, 0.837702214717865, 0.8338935971260071, 0.8301020264625549, 0.8264595866203308, 0.8227061629295349, 0.819007933139801, 0.8152936100959778, 0.8115983605384827, 0.8078754544258118, 0.8042237162590027, 0.8005918860435486, 0.7969786524772644, 0.7933885455131531, 0.7898188233375549, 0.7862706780433655, 0.7827451825141907, 0.779242217540741, 0.7757628560066223, 0.7723066210746765, 0.7688732743263245, 0.765510618686676, 0.7621269822120667, 0.7587113976478577, 0.7553759217262268, 0.7520646452903748, 0.7487792372703552, 0.7455191016197205, 0.7422848343849182, 0.7390759587287903, 0.7358929514884949, 0.7327353358268738, 0.7296029925346375, 0.7264962792396545, 0.7234140038490295, 0.7203564047813416, 0.7173238396644592, 0.7143157124519348, 0.7113319039344788, 0.7081860899925232, 0.7052422165870667, 0.7023248076438904, 0.6994321942329407, 0.6965619921684265, 0.6937162280082703, 0.6908925175666809, 0.6880947947502136, 0.6853232979774475, 0.6824467778205872, 0.6797273755073547, 0.6770924925804138, 0.6744244694709778, 0.6717807650566101, 0.6691614985466003, 0.6665670275688171, 0.6639979481697083, 0.6614541411399841, 0.6589351296424866, 0.6564411520957947, 0.6539708971977234, 0.6515253186225891, 0.6491065621376038, 0.6467120051383972, 0.6443406939506531, 0.6419950127601624, 0.6396740078926086, 0.6373762488365173, 0.6351030468940735, 0.6328539252281189, 0.6306288838386536, 0.6284278035163879, 0.6264515519142151, 0.6243004202842712, 0.6221721768379211, 0.6200657486915588, 0.6179817318916321, 0.6160655617713928], forces=[(0.0155530059710145, -0.004640751518309116, -0.0012586977099999785), (0.008220534771680832, -0.028695888817310333, 0.012171768583357334), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02843809314072132, 0.003645192366093397, -0.05967561900615692), (0.0031741478014737368, -0.01810350827872753, -0.007994440384209156), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010503158904612064, -0.01989419013261795, -0.03768491744995117), (0.005108400713652372, -0.03786321356892586, -0.02111915685236454), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007643855642527342, 0.010161896236240864, 0.031648844480514526), (-0.008646480739116669, -0.028949826955795288, 0.06541378051042557), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005331107880920172, -0.031097128987312317, 0.015914268791675568), (-0.007526000961661339, -0.013085558079183102, -0.010811762884259224), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005778248887509108, -0.004319711588323116, -0.01300731673836708), (0.06533200293779373, 0.08787331730127335, 0.02025616727769375), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011550095863640308, -0.009608048014342785, -0.003985150717198849), (0.028986593708395958, -0.01466158963739872, 0.02798086777329445), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010030985809862614, -0.00456578005105257, -0.031541500240564346), (0.0029326118528842926, -0.015180334448814392, -0.009207899682223797), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.017190152779221535, 0.0007210973417386413, -0.006974807940423489), (-0.09966036677360535, 0.07649021595716476, 0.05942055955529213), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.15130050480365753, 0.295017272233963, -0.13368788361549377), (-0.10790688544511795, 0.42354893684387207, 0.10568176954984665)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=34, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.7977752685546875, -0.0019284423906356096, 16.928688049316406), (1.4326673746109009, 1.256574034690857, 19.00334358215332), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7917137145996094, 2.8091728687286377, 16.953712463378906), (1.425592303276062, 4.356262683868408, 18.98029136657715), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.799448251724243, 5.619839668273926, 16.92929458618164), (1.394935965538025, 7.037454605102539, 18.86997413635254), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.634938716888428, -0.014803488738834858, 16.881591796875), (4.2471232414245605, 1.3832532167434692, 18.827152252197266), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.636422157287598, 2.8133139610290527, 16.894922256469727), (4.249779224395752, 4.224459171295166, 18.830730438232422), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6342291831970215, 5.641157627105713, 16.88210678100586), (4.241592884063721, 7.0363640785217285, 18.833688735961914), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.476542472839355, 0.002760500879958272, 16.930774688720703), (7.0165252685546875, 1.3828372955322266, 18.817241668701172), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.488033294677734, 2.8095526695251465, 16.96258544921875), (7.016412734985352, 4.235790729522705, 18.816946029663086), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.473466873168945, 5.62161111831665, 16.926387786865234), (7.025898456573486, 7.041470050811768, 18.831533432006836), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.3642444610595703, 2.8354032039642334, 20.449344635009766), (2.237738609313965, 2.9147820472717285, 20.89238166809082)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.42299026250839233, energy_trajectory=[1.0234582424163818, 1.0068955421447754, 0.9945059418678284, 0.9820557236671448, 0.9700029492378235, 0.9587402939796448, 0.9481286406517029, 0.9386902451515198, 0.9290772080421448, 0.9197989106178284, 0.9107970595359802, 0.9021195769309998, 0.8937974572181702, 0.8856212496757507, 0.8777040839195251, 0.8699933886528015, 0.8623051047325134, 0.8551872372627258, 0.8478880524635315, 0.8406533598899841, 0.8334938883781433, 0.8265479207038879, 0.8197395205497742, 0.8131392598152161, 0.8065425753593445, 0.8000547289848328, 0.7936716675758362, 0.7873908877372742, 0.7812110781669617, 0.775132954120636, 0.7691523432731628, 0.7632603049278259, 0.7575026154518127, 0.7518040537834167, 0.7462615370750427, 0.740744411945343, 0.7353020310401917, 0.7299533486366272, 0.7246890664100647, 0.7197999358177185, 0.7146010994911194, 0.709689199924469, 0.7047554850578308, 0.6999673247337341, 0.6951656937599182, 0.6904359459877014, 0.6857499480247498, 0.6812257170677185, 0.6765919327735901, 0.6722177863121033, 0.6678352952003479, 0.6635221838951111, 0.6590427756309509, 0.6548741459846497, 0.6507492661476135, 0.646689236164093, 0.6426917910575867, 0.6388365626335144, 0.6350192427635193, 0.6312018036842346, 0.6274461150169373, 0.6237643361091614, 0.6200823187828064, 0.6165074706077576, 0.6129928231239319, 0.609536349773407, 0.6061385273933411, 0.6027974486351013, 0.5995132327079773, 0.5962837338447571, 0.5931090712547302, 0.5899887681007385, 0.5867149233818054, 0.5837021470069885, 0.5808588862419128, 0.577946126461029, 0.5749134421348572, 0.5721220374107361, 0.569356381893158, 0.5666373372077942, 0.5639637112617493, 0.5613380074501038, 0.5587576031684875, 0.5562216639518738, 0.5537331700325012, 0.5512904524803162, 0.5488764643669128, 0.5466352105140686, 0.5443257689476013, 0.5420600771903992, 0.5398373007774353, 0.5376579165458679, 0.5355200171470642, 0.5334250330924988, 0.5311720967292786, 0.529163658618927, 0.5271956324577332, 0.5252661108970642, 0.5233749747276306, 0.5215231776237488, 0.5197083353996277, 0.5179311633110046, 0.5161932110786438, 0.5144907832145691, 0.5128238797187805, 0.5112501978874207, 0.509649932384491, 0.5079371333122253, 0.5064029097557068, 0.5048971772193909, 0.5034201741218567, 0.5019723773002625, 0.500458300113678, 0.4990697503089905, 0.49770551919937134, 0.4963669180870056, 0.49505239725112915, 0.49376267194747925, 0.49249571561813354, 0.4912484288215637, 0.4900231957435608, 0.48881596326828003, 0.48762816190719604, 0.4864559769630432, 0.48530250787734985, 0.48416537046432495, 0.48304349184036255, 0.48109620809555054, 0.48000961542129517, 0.47893792390823364, 0.47788184881210327, 0.4768452048301697, 0.4758194088935852, 0.4748075604438782, 0.4738094210624695, 0.4728270173072815, 0.47185760736465454, 0.47090286016464233, 0.4701769948005676, 0.46912509202957153, 0.4682164788246155, 0.4673228859901428, 0.4664437174797058, 0.4655795693397522, 0.46473127603530884, 0.4638976454734802, 0.46319133043289185, 0.4623860716819763, 0.4615963101387024, 0.4608221650123596, 0.4600614905357361, 0.4593173861503601, 0.4585866332054138, 0.4578731656074524, 0.45717233419418335, 0.45634037256240845, 0.4556698203086853, 0.4550134539604187, 0.45437151193618774, 0.4538084864616394, 0.4531957507133484, 0.45278292894363403, 0.45219534635543823, 0.45162254571914673, 0.4510619044303894, 0.450514018535614, 0.44997936487197876, 0.4494571089744568, 0.4489460587501526, 0.4484468102455139, 0.4479607939720154, 0.44748610258102417, 0.4470213055610657, 0.44656866788864136, 0.44612616300582886, 0.4456954598426819, 0.4452769160270691, 0.4448668360710144, 0.44446808099746704, 0.4440801739692688, 0.4437006115913391, 0.4433324933052063, 0.4429747462272644, 0.4426259398460388, 0.4422866702079773, 0.44192665815353394, 0.4416266083717346, 0.44131404161453247, 0.4410099387168884, 0.44071322679519653, 0.4404262900352478, 0.4401465058326721, 0.43987494707107544, 0.43961101770401, 0.4393540024757385, 0.4391034245491028, 0.438859760761261, 0.4386221766471863, 0.4383905529975891, 0.4381639361381531, 0.4382590651512146, 0.43804556131362915, 0.4378376603126526, 0.4376835227012634, 0.43748337030410767, 0.437286913394928, 0.4370940327644348, 0.4369036555290222, 0.4367162585258484, 0.43653231859207153, 0.43635016679763794, 0.43617111444473267, 0.43599337339401245, 0.4358183741569519, 0.43563586473464966, 0.4354338049888611, 0.4352647662162781, 0.43509823083877563, 0.43493229150772095, 0.43476778268814087, 0.43460482358932495, 0.4344417452812195, 0.4342804551124573, 0.4341215491294861, 0.4339616894721985, 0.43380290269851685, 0.4336455464363098, 0.4334879517555237, 0.4333321452140808, 0.43317633867263794, 0.4330212473869324, 0.4328668713569641, 0.4327138066291809, 0.4325636029243469, 0.4324128031730652, 0.43226057291030884, 0.43210989236831665, 0.4319583773612976, 0.4315609335899353, 0.43140989542007446, 0.43125635385513306, 0.4311007857322693, 0.43085283041000366, 0.43069809675216675, 0.43054312467575073, 0.43038755655288696, 0.43023163080215454, 0.43007296323776245, 0.42991524934768677, 0.42975515127182007, 0.4295955300331116, 0.42943519353866577, 0.4296240210533142, 0.42946165800094604, 0.4292972683906555, 0.4291331171989441, 0.4289681315422058, 0.428801953792572, 0.4286344647407532, 0.428466260433197, 0.42825502157211304, 0.42800217866897583, 0.42783910036087036, 0.4276753067970276, 0.427511990070343, 0.42734676599502563, 0.42718106508255005, 0.4270150065422058, 0.4268525242805481, 0.42706066370010376, 0.4268903136253357, 0.42672187089920044, 0.4265548586845398, 0.42638808488845825, 0.4263684153556824, 0.4262072443962097, 0.42601603269577026, 0.425972044467926, 0.4258156418800354, 0.4256599545478821, 0.4255065321922302, 0.4253552556037903, 0.42520612478256226, 0.4250592589378357, 0.4249141812324524, 0.42477184534072876, 0.4246310591697693, 0.42449432611465454, 0.4241841435432434, 0.424050509929657, 0.42392057180404663, 0.4237927794456482, 0.4236660599708557, 0.4235444664955139, 0.42342430353164673, 0.42330557107925415, 0.4231916069984436, 0.42306822538375854, 0.42301124334335327, 0.42299026250839233], forces=[(0.018860917538404465, 0.00915670208632946, 0.011741947382688522), (0.00345208658836782, 0.11456191539764404, -0.006099991034716368), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.015129229985177517, 0.010424163192510605, -0.0041205547749996185), (-0.0323595330119133, -0.03658074513077736, -0.04276326298713684), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014895960688591003, 0.02410818450152874, -0.0001115763298003003), (0.013109619729220867, 0.03558586537837982, 0.0397784598171711), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009910861030220985, 0.009901395998895168, 0.03803098946809769), (0.00024562887847423553, 0.016840357333421707, 0.06450695544481277), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005634604953229427, 0.0027356732171028852, 0.028154456987977028), (-0.01218585018068552, 0.010739327408373356, 0.04836438596248627), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007319227792322636, 0.0017995608504861593, 0.032207049429416656), (-0.0050199925899505615, 0.00948764942586422, 0.055520184338092804), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0010378105798736215, 0.01039409264922142, 0.019368141889572144), (0.032034825533628464, 0.02016083337366581, 0.07620630413293839), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01035943254828453, 0.008215634152293205, -0.005454807076603174), (0.018909169360995293, -0.0018991633551195264, 0.0661391019821167), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00513982679694891, 0.021503964439034462, 0.008466535247862339), (0.014239547774195671, 0.008874873630702496, 0.06209509074687958), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013107022270560265, 0.053257979452610016, 0.04264599084854126), (-0.014635458588600159, -0.18000094592571259, -0.06100913882255554)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=35, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8175933361053467, -0.027131294831633568, 16.9503173828125), (1.3896712064743042, 1.437148928642273, 18.816131591796875), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.816669225692749, 2.8186099529266357, 16.892602920532227), (1.3911521434783936, 4.207502365112305, 18.820768356323242), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.815429925918579, 5.665834426879883, 16.951509475708008), (1.2566092014312744, 7.064357280731201, 18.96242904663086), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.633467674255371, -0.018617257475852966, 16.91607093811035), (4.244510173797607, 1.4342070817947388, 18.81298828125), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.645419597625732, 2.8152987957000732, 16.87843894958496), (4.234281539916992, 4.20344352722168, 18.819032669067383), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.630692481994629, 5.648967742919922, 16.91802406311035), (4.3854475021362305, 7.0467071533203125, 18.95184898376465), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.466886520385742, -0.01825171336531639, 16.91868019104004), (7.0481276512146, 1.416256070137024, 18.83035659790039), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.453369140625, 2.815429210662842, 16.879287719726562), (7.045294284820557, 4.199899673461914, 18.827312469482422), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.467644691467285, 5.6504693031311035, 16.920610427856445), (7.050790309906006, 7.0417351722717285, 18.859966278076172), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (2.8411202430725098, 7.130932807922363, 20.378053665161133), (2.817923069000244, 6.214995384216309, 20.727235794067383)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4396461844444275, energy_trajectory=[1.0529634952545166, 1.0381412506103516, 1.0273027420043945, 1.016540765762329, 1.00612473487854, 0.9963725209236145, 0.9869630932807922, 0.9776001572608948, 0.9686192870140076, 0.9600846171379089, 0.9517378211021423, 0.9435557723045349, 0.9356603026390076, 0.9278110861778259, 0.9201393723487854, 0.9126967787742615, 0.9053191542625427, 0.897977888584137, 0.8908448815345764, 0.8838065266609192, 0.8769463896751404, 0.8700950741767883, 0.8631623387336731, 0.8566494584083557, 0.8500449061393738, 0.8432316184043884, 0.8367775082588196, 0.8304030299186707, 0.8240970969200134, 0.8178637623786926, 0.8116709589958191, 0.8056281208992004, 0.7995982766151428, 0.7937695384025574, 0.7878656983375549, 0.7820209860801697, 0.7762376666069031, 0.770514190196991, 0.7648667693138123, 0.7592564225196838, 0.753702700138092, 0.7482008337974548, 0.7426586747169495, 0.7372661232948303, 0.7319253087043762, 0.7266554236412048, 0.7214143872261047, 0.716221034526825, 0.7110796570777893, 0.7059730887413025, 0.7009320855140686, 0.6960092186927795, 0.6910703778266907, 0.6861791014671326, 0.6813368201255798, 0.676543653011322, 0.6718005537986755, 0.6671038269996643, 0.6624588370323181, 0.6577797532081604, 0.6532322764396667, 0.6487857699394226, 0.6443130373954773, 0.6411755681037903, 0.6368078589439392, 0.6324920058250427, 0.6280667185783386, 0.6238548159599304, 0.6196936964988708, 0.6155838370323181, 0.6115222573280334, 0.607510507106781, 0.6035472750663757, 0.5996331572532654, 0.595767080783844, 0.591823399066925, 0.5880491137504578, 0.584322988986969, 0.5809481739997864, 0.5774775147438049, 0.5738881230354309, 0.5703437924385071, 0.5668451189994812, 0.563231885433197, 0.5598294138908386, 0.5564765334129333, 0.5532919764518738, 0.550030529499054, 0.5468166470527649, 0.5436531901359558, 0.5405102372169495, 0.5374787449836731, 0.5344657301902771, 0.5315046906471252, 0.5285950303077698, 0.5256339907646179, 0.522831380367279, 0.5200801491737366, 0.5173836350440979, 0.5147390961647034, 0.5121480822563171, 0.5096110701560974, 0.5071225762367249, 0.5046605467796326, 0.5022708773612976, 0.4999346137046814, 0.49765270948410034, 0.49542003870010376, 0.4935256838798523, 0.49140113592147827, 0.48933011293411255, 0.4873122572898865, 0.4853472113609314, 0.48343414068222046, 0.48157161474227905, 0.47966164350509644, 0.47789818048477173, 0.47618168592453003, 0.47451096773147583, 0.4728878140449524, 0.4713084101676941, 0.4697731137275696, 0.4682806134223938, 0.46682947874069214, 0.4654826521873474, 0.4643961787223816, 0.46305960416793823, 0.4617624878883362, 0.4605012536048889, 0.4592745900154114, 0.4580835700035095, 0.45685285329818726, 0.45572739839553833, 0.4546331763267517, 0.45347195863723755, 0.45244091749191284, 0.45143967866897583, 0.45046859979629517, 0.4493754506111145, 0.4484627842903137, 0.44757896661758423, 0.44672542810440063, 0.44589871168136597, 0.44510024785995483, 0.4440522789955139, 0.44331008195877075, 0.44259554147720337, 0.4419075846672058, 0.4412469267845154, 0.440123975276947, 0.4395158886909485, 0.4390222430229187, 0.43846696615219116, 0.43793827295303345, 0.43743282556533813, 0.4369547963142395, 0.4365012049674988, 0.4360719323158264, 0.4356667399406433, 0.43527907133102417, 0.4349157214164734, 0.43511372804641724, 0.4347969889640808, 0.4345017075538635, 0.43422847986221313, 0.43397587537765503, 0.4337436556816101, 0.43353205919265747, 0.4333398938179016, 0.433165967464447, 0.43254584074020386, 0.4323928952217102, 0.4322734475135803, 0.432170569896698, 0.4320836663246155, 0.4320135712623596, 0.43195682764053345, 0.4319151043891907, 0.4319072365760803, 0.431893527507782, 0.43189066648483276, 0.43190211057662964, 0.43192487955093384, 0.431959331035614, 0.4320036768913269, 0.4320586323738098, 0.43212300539016724, 0.4321977496147156, 0.4322816729545593, 0.43229907751083374, 0.4324033856391907, 0.4325156807899475, 0.4326367974281311, 0.43257755041122437, 0.4327126145362854, 0.43285423517227173, 0.43300360441207886, 0.4332044720649719, 0.43332141637802124, 0.4334879517555237, 0.43365997076034546, 0.433837354183197, 0.4340202212333679, 0.43420642614364624, 0.4343981146812439, 0.43452316522598267, 0.43472176790237427, 0.43492478132247925, 0.43510526418685913, 0.43531447649002075, 0.4355265498161316, 0.43574053049087524, 0.4359566569328308, 0.43617576360702515, 0.4363613724708557, 0.4365834593772888, 0.43667155504226685, 0.4367906451225281, 0.4370136857032776, 0.43723660707473755, 0.43745988607406616, 0.4376828074455261, 0.43790537118911743, 0.4381266236305237, 0.4383477568626404, 0.43856745958328247, 0.43878549337387085, 0.43900030851364136, 0.4394020438194275, 0.4395725131034851, 0.43977969884872437, 0.4399828314781189, 0.440185010433197, 0.4403933882713318, 0.4405880570411682, 0.44077855348587036, 0.4409647583961487, 0.4411466717720032, 0.4413241744041443, 0.4414835572242737, 0.4416484236717224, 0.44180864095687866, 0.4419630169868469, 0.44211047887802124, 0.4422531723976135, 0.4423883557319641, 0.4419950842857361, 0.44211381673812866, 0.44222134351730347, 0.4423244595527649, 0.4424223303794861, 0.44251078367233276, 0.4425927996635437, 0.442665159702301, 0.44252318143844604, 0.44257861375808716, 0.44262808561325073, 0.4426681399345398, 0.44270092248916626, 0.4427257180213928, 0.44274359941482544, 0.44275349378585815, 0.4427565932273865, 0.4427507519721985, 0.44273728132247925, 0.4427163004875183, 0.44268864393234253, 0.44265371561050415, 0.4426119923591614, 0.44324761629104614, 0.4431893229484558, 0.4431231617927551, 0.44309455156326294, 0.4430163502693176, 0.4429340958595276, 0.4428461194038391, 0.4427524209022522, 0.4426071047782898, 0.44250398874282837, 0.44239717721939087, 0.4422847628593445, 0.4421699643135071, 0.4420509934425354, 0.441927969455719, 0.4418030381202698, 0.44167274236679077, 0.44152408838272095, 0.4413899779319763, 0.4412840008735657, 0.4412218928337097, 0.44107526540756226, 0.4409254193305969, 0.4407748579978943, 0.44061988592147827, 0.4404624104499817, 0.4403037428855896, 0.44014257192611694, 0.43997830152511597, 0.43981367349624634, 0.4396461844444275], forces=[(0.0060722013004124165, 0.026920868083834648, -0.007195830810815096), (0.007615847513079643, 0.002649715868756175, 0.06348782777786255), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0035041607916355133, 0.014532520435750484, 0.035741183906793594), (0.018331535160541534, 0.038784343749284744, 0.08201974630355835), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007361314725130796, -0.0073217544704675674, -0.0036310304421931505), (0.10082938522100449, 0.0009365708101540804, -0.03598665073513985), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.015397075563669205, 0.025660255923867226, 0.004096774850040674), (0.002322959713637829, 0.002481213305145502, 0.06243462115526199), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0004003838694188744, 0.01843024604022503, 0.04302011802792549), (-0.0028564382810145617, 0.03748711571097374, 0.08092450350522995), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01050671748816967, 0.00651552714407444, 0.02071944996714592), (-0.0745062306523323, 0.012453190051019192, -0.02678810805082321), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005292106885462999, 0.027638167142868042, 0.0020828996784985065), (0.006057863589376211, 0.004629839211702347, 0.06401543319225311), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006517087575048208, 0.019493620842695236, 0.04275987669825554), (0.00755302794277668, 0.028426362201571465, 0.07283522933721542), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003538920544087887, 0.006560440640896559, 0.022079961374402046), (0.012420494109392166, 0.025520872324705124, 0.04123913496732712), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.11521092057228088, -0.13945317268371582, 0.11835719645023346), (0.036021336913108826, -0.07391270250082016, 0.19810080528259277)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=36, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8183224201202393, -0.0038157429080456495, 16.908206939697266), (1.429300308227539, 1.4055620431900024, 18.84693717956543), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8162431716918945, 2.822751760482788, 16.90605926513672), (1.4127109050750732, 4.2331013679504395, 18.848159790039062), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8184916973114014, 5.639527320861816, 16.905405044555664), (1.4153081178665161, 7.038140296936035, 18.84622573852539), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.661531925201416, 0.013243863359093666, 16.94997215270996), (4.203455448150635, 1.41034996509552, 18.843769073486328), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.656267166137695, 2.7942869663238525, 16.9459285736084), (4.22100305557251, 4.235433101654053, 18.847578048706055), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.638141632080078, 5.632680892944336, 16.90919303894043), (4.221895694732666, 7.0427680015563965, 18.84450912475586), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.442630767822266, 0.009316192008554935, 16.946985244750977), (7.064470291137695, 1.4148108959197998, 19.08979606628418), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.435537338256836, 2.7869443893432617, 16.953027725219727), (7.047764301300049, 4.225625038146973, 18.85216522216797), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.463578224182129, 5.629832744598389, 16.908239364624023), (7.051708221435547, 7.010704517364502, 18.837369918823242), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (6.9643778800964355, 1.1754753589630127, 21.056888580322266), (6.777013301849365, 2.052611827850342, 21.451492309570312)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.860968291759491, energy_trajectory=[1.1790130138397217, 1.1677250862121582, 1.158695936203003, 1.1498353481292725, 1.141270637512207, 1.1325788497924805, 1.1241047382354736, 1.1157054901123047, 1.107386827468872, 1.0992975234985352, 1.0911221504211426, 1.0833768844604492, 1.0750322341918945, 1.0671303272247314, 1.0592594146728516, 1.0521752834320068, 1.0445294380187988, 1.0369126796722412, 1.029386043548584, 1.0219240188598633, 1.0145237445831299, 1.0071923732757568, 1.0000834465026855, 0.9933162331581116, 0.986894428730011, 0.9807716012001038, 0.9745950102806091, 0.9689305424690247, 0.9634861350059509, 0.9580238461494446, 0.952980101108551, 0.9480370879173279, 0.9433119893074036, 0.9387940764427185, 0.934344470500946, 0.9297983050346375, 0.9259167313575745, 0.922008216381073, 0.918301522731781, 0.9147501587867737, 0.9113556742668152, 0.908119261264801, 0.9050704836845398, 0.9021362662315369, 0.8994014859199524, 0.8968600630760193, 0.8944968581199646, 0.8923506140708923, 0.8904470801353455, 0.8882279992103577, 0.8867679238319397, 0.8854411244392395, 0.8842458128929138, 0.8831786513328552, 0.8822097182273865, 0.8812019228935242, 0.8801385760307312, 0.8793022036552429, 0.8784725069999695, 0.8775644898414612, 0.8766850829124451, 0.8758824467658997, 0.8749157786369324, 0.8742086291313171, 0.8735902905464172, 0.8730911612510681, 0.8727334141731262, 0.8721838593482971, 0.8720102906227112, 0.872114360332489, 0.8724760413169861, 0.8728607296943665, 0.873417317867279, 0.8740002512931824, 0.8746597170829773, 0.875339925289154, 0.8760966658592224, 0.8768841624259949, 0.8776912093162537, 0.878510057926178, 0.8800621628761292, 0.8808733820915222, 0.8816247582435608, 0.88241046667099, 0.8831776976585388, 0.8839256167411804, 0.8846463561058044, 0.885341227054596, 0.886008083820343, 0.8866444230079651, 0.8872507214546204, 0.8875979781150818, 0.8881328701972961, 0.8886353373527527, 0.8891014456748962, 0.8894223570823669, 0.8898178935050964, 0.8901752829551697, 0.8904984593391418, 0.8907845616340637, 0.8909863829612732, 0.8912011981010437, 0.8913808465003967, 0.8915250897407532, 0.8916388154029846, 0.8917166590690613, 0.8917633891105652, 0.8917815089225769, 0.8917704224586487, 0.8917335867881775, 0.8916690945625305, 0.8915806412696838, 0.8914685845375061, 0.8913367390632629, 0.891186535358429, 0.8910178542137146, 0.8908278346061707, 0.8905403017997742, 0.8903195261955261, 0.8900488018989563, 0.8898047804832458, 0.889548122882843, 0.8892839550971985, 0.8890092968940735, 0.8887268900871277, 0.8884362578392029, 0.8881391882896423, 0.8878358006477356, 0.8875300288200378, 0.8871983885765076, 0.8868796229362488, 0.8865590691566467, 0.8862320780754089, 0.8857625126838684, 0.8854296803474426, 0.8850961327552795, 0.884759247303009, 0.8844218850135803, 0.8840799927711487, 0.8837403655052185, 0.8833978772163391, 0.8829558491706848, 0.8826088309288025, 0.8822610974311829, 0.881986677646637, 0.881635844707489, 0.8812852501869202, 0.8809331059455872, 0.880580723285675, 0.8804158568382263, 0.8800610899925232, 0.8797102570533752, 0.8792038559913635, 0.8788203597068787, 0.8784729838371277, 0.8781288266181946, 0.8777816891670227, 0.8775884509086609, 0.8772420287132263, 0.8769019246101379, 0.8765614628791809, 0.8762202858924866, 0.8759109377861023, 0.8755732178688049, 0.8753412365913391, 0.8740089535713196, 0.8737007975578308, 0.8733920454978943, 0.8730873465538025, 0.8727832436561584, 0.87248295545578, 0.8721825480461121, 0.8718820214271545, 0.8715860247612, 0.8712882399559021, 0.8709924817085266, 0.870698869228363, 0.870404064655304, 0.870110809803009, 0.8687652945518494, 0.868486225605011, 0.8682088255882263, 0.8679327368736267, 0.8677449822425842, 0.8675292134284973, 0.8672024607658386, 0.8669289946556091, 0.8666557669639587, 0.8659818768501282, 0.8657154440879822, 0.8654897809028625, 0.8652260899543762, 0.8649618029594421, 0.8648234009742737, 0.8645592331886292, 0.8642954230308533, 0.8640317320823669, 0.8637650609016418, 0.8635010123252869, 0.8631448149681091, 0.8628787398338318, 0.8627640604972839, 0.8624094128608704, 0.8621405959129333, 0.8618728518486023, 0.8616920113563538, 0.8613349795341492, 0.862314760684967, 0.8620660901069641, 0.8618139624595642, 0.8616523146629333, 0.8613155484199524, 0.8610644936561584, 0.8608165383338928, 0.8606578707695007, 0.8603236079216003, 0.8600133061408997, 0.8598580956459045, 0.8596199154853821, 0.8592960238456726, 0.8591473698616028, 0.8589175343513489, 0.858692467212677, 0.858470618724823, 0.8582515120506287, 0.8580374121665955, 0.8578295111656189, 0.8576253056526184, 0.8574287295341492, 0.8572013974189758, 0.8570155501365662, 0.8568366169929504, 0.8566648364067078, 0.8564987778663635, 0.8563413023948669, 0.856192409992218, 0.856048047542572, 0.8559144139289856, 0.8557866215705872, 0.8556671738624573, 0.8555551171302795, 0.8554518818855286, 0.8553548455238342, 0.8552679419517517, 0.8551880717277527, 0.8552672266960144, 0.8552039265632629, 0.8551501631736755, 0.8551009297370911, 0.8550621867179871, 0.8552502989768982, 0.8552286028862, 0.8552176356315613, 0.8552119135856628, 0.855214536190033, 0.8552250266075134, 0.855241596698761, 0.8552711606025696, 0.8553029894828796, 0.855340301990509, 0.8553839325904846, 0.8554084897041321, 0.8554038405418396, 0.8554661870002747, 0.8555585741996765, 0.8556358218193054, 0.8557206988334656, 0.8558087944984436, 0.8559029698371887, 0.8560039401054382, 0.8561094403266907, 0.8562228083610535, 0.8563413023948669, 0.8564651608467102, 0.8565946221351624, 0.8567312359809875, 0.8569100499153137, 0.856929361820221, 0.8570825457572937, 0.8572439551353455, 0.8574079871177673, 0.857578694820404, 0.8577510714530945, 0.8577082753181458, 0.857890784740448, 0.8579954504966736, 0.8581861853599548, 0.8584268689155579, 0.8586261868476868, 0.8588297963142395, 0.8590360283851624, 0.8592471480369568, 0.8594610095024109, 0.8596122860908508, 0.8598344922065735, 0.8600289225578308, 0.8602568507194519, 0.8604915738105774, 0.8607273697853088, 0.860968291759491], forces=[(0.0007466633687727153, -0.0031526153907179832, -0.004949084483087063), (0.0013810319360345602, -0.0005169130163267255, 0.004127816762775183), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00011328924301778898, 0.001106858253479004, -0.004883486311882734), (0.0044189984910190105, 0.001652299310080707, 0.00724767567589879), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0005144441965967417, -0.0016699873376637697, -0.002880958141759038), (0.0017070609610527754, -0.0011829304276034236, 0.007138346787542105), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0007572871982119977, 0.0023407703265547752, 0.002002882305532694), (0.0007063914090394974, -0.0011031379690393806, 0.0050940136425197124), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0026531678158789873, -0.0010529322316870093, 0.004355562385171652), (-0.0005004972917959094, 0.00017689086962491274, 0.008308331482112408), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00283982721157372, 0.003596362192183733, -0.006453480571508408), (-0.0003627561090979725, -0.002657678909599781, 0.006500843912363052), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0006729718879796565, 0.0024418083485215902, 0.0026694678235799074), (-0.0019982929807156324, 0.020472606644034386, -0.01636599563062191), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002086384454742074, -0.0001865382510004565, 0.004890228156000376), (0.0012607417302206159, 0.008921709842979908, 0.0010674872901290655), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003875253489241004, 0.003206213004887104, -0.006490042433142662), (0.0013758812565356493, 0.006993628107011318, 0.004784032702445984), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007031898945569992, 0.04328543320298195, 0.006793544162064791), (0.0010957418708130717, 0.018165340647101402, -0.02626878209412098)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=37, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8361475467681885, -0.042237669229507446, 16.93600845336914), (1.3919340372085571, 1.3841352462768555, 18.83967399597168), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8402910232543945, 2.8068044185638428, 16.93451690673828), (1.385179877281189, 4.197569370269775, 18.833724975585938), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8433165550231934, 5.614964008331299, 16.95860481262207), (1.3832777738571167, 7.037171840667725, 18.841876983642578), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.621401786804199, -0.04397809877991676, 16.938283920288086), (4.230554103851318, 1.3223822116851807, 18.880786895751953), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.6233344078063965, 2.804749011993408, 16.93478775024414), (4.200336933135986, 3.997999429702759, 19.006139755249023), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.610917091369629, 5.61485481262207, 16.96744728088379), (4.1956329345703125, 7.0673980712890625, 19.022594451904297), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.460848808288574, -0.007577423471957445, 16.891902923583984), (7.064661026000977, 1.3822290897369385, 18.84050941467285), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.463407516479492, 2.802095890045166, 16.888145446777344), (7.079432010650635, 4.19234037399292, 18.82534408569336), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.461372375488281, 5.632631778717041, 16.90142059326172), (7.069457530975342, 7.038834095001221, 18.83555030822754), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.305971145629883, 5.436943054199219, 20.514440536499023), (3.465487241744995, 5.335139751434326, 21.012836456298828)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.48206084966659546, energy_trajectory=[1.0893993377685547, 1.077500581741333, 1.0694057941436768, 1.0612742900848389, 1.0533709526062012, 1.045644998550415, 1.0380089282989502, 1.0298833847045898, 1.0227198600769043, 1.0153398513793945, 1.0082118511199951, 1.0014724731445312, 0.9948727488517761, 0.988565981388092, 0.9823229908943176, 0.9763944745063782, 0.9702011942863464, 0.9642220139503479, 0.9583364129066467, 0.9529433846473694, 0.947430431842804, 0.9426191449165344, 0.9374600052833557, 0.9324732422828674, 0.927695095539093, 0.9228864312171936, 0.9182984232902527, 0.9139459729194641, 0.9096212983131409, 0.9054226279258728, 0.901343047618866, 0.8973820805549622, 0.8935868144035339, 0.8898043036460876, 0.8861709237098694, 0.8826425671577454, 0.8792135119438171, 0.8758834004402161, 0.8726480603218079, 0.869708240032196, 0.8666533827781677, 0.863694965839386, 0.8608099818229675, 0.8580042719841003, 0.8552804589271545, 0.8526334166526794, 0.8501395583152771, 0.8476424813270569, 0.8452573418617249, 0.8429049849510193, 0.8406192660331726, 0.8384312987327576, 0.8363731503486633, 0.8342892527580261, 0.8322120308876038, 0.8302486538887024, 0.8283366560935974, 0.8264886736869812, 0.8245009779930115, 0.8227588534355164, 0.8210629820823669, 0.8193150162696838, 0.8177041411399841, 0.8161292672157288, 0.8145850300788879, 0.8129957318305969, 0.8115014433860779, 0.8100566267967224, 0.8086535334587097, 0.8076218962669373, 0.8062931895256042, 0.804990828037262, 0.8031401038169861, 0.8018842339515686, 0.8006468415260315, 0.799428403377533, 0.7983940243721008, 0.7972109913825989, 0.7960466742515564, 0.7948988080024719, 0.7937695384025574, 0.7926574349403381, 0.7915638089179993, 0.790486752986908, 0.7894278168678284, 0.7883870005607605, 0.7873641848564148, 0.7864368557929993, 0.7854475378990173, 0.7844741940498352, 0.7835164666175842, 0.782564103603363, 0.7816324830055237, 0.7807125449180603, 0.7797693610191345, 0.7788665890693665, 0.7779702544212341, 0.7770799994468689, 0.7761810421943665, 0.7752956748008728, 0.7744123339653015, 0.7733957171440125, 0.7725096344947815, 0.7716190218925476, 0.7707241177558899, 0.7696954607963562, 0.7687903046607971, 0.7678788304328918, 0.7669593691825867, 0.7660308480262756, 0.7650933861732483, 0.7641463875770569, 0.7631897330284119, 0.761705219745636, 0.7607235312461853, 0.7597417235374451, 0.7587385773658752, 0.7577245831489563, 0.7566986680030823, 0.7556605935096741, 0.7546104788780212, 0.7535484433174133, 0.7524740099906921, 0.7513869404792786, 0.7502887845039368, 0.7490916848182678, 0.7479692101478577, 0.7468352913856506, 0.7456883788108826, 0.7445299029350281, 0.7433570027351379, 0.7421718239784241, 0.7409759163856506, 0.7397653460502625, 0.7384547591209412, 0.7372172474861145, 0.7359665036201477, 0.734701931476593, 0.7334240078926086, 0.7321321368217468, 0.7308275103569031, 0.7295098900794983, 0.7281797528266907, 0.7267503142356873, 0.7253960967063904, 0.7240288853645325, 0.722650945186615, 0.7212645411491394, 0.719760000705719, 0.7183530926704407, 0.7169370055198669, 0.71551114320755, 0.7140561938285828, 0.7126126885414124, 0.7111591696739197, 0.7096976637840271, 0.7082266211509705, 0.7067463994026184, 0.7052558064460754, 0.7037037014961243, 0.7021963000297546, 0.7006787657737732, 0.6991490721702576, 0.6976112723350525, 0.6960631012916565, 0.6945045590400696, 0.6929369568824768, 0.6913583874702454, 0.6897706389427185, 0.6881739497184753, 0.6865680813789368, 0.6849526762962341, 0.6833283305168152, 0.681695282459259, 0.6800540089607239, 0.6784231066703796, 0.6767672896385193, 0.6751043200492859, 0.6734327673912048, 0.6717528700828552, 0.6700670123100281, 0.6683726906776428, 0.6666709780693054, 0.6649617552757263, 0.6632433533668518, 0.6615191102027893, 0.659785807132721, 0.6580458283424377, 0.6562969088554382, 0.6545419096946716, 0.6527783274650574, 0.6510060429573059, 0.649064838886261, 0.6472761034965515, 0.6454783082008362, 0.6436737179756165, 0.6418624520301819, 0.640045702457428, 0.6382250189781189, 0.6363995671272278, 0.634570300579071, 0.6328521370887756, 0.6310123801231384, 0.6291679739952087, 0.6273216605186462, 0.6254704594612122, 0.6236167550086975, 0.6217593550682068, 0.6198109984397888, 0.6179510951042175, 0.6160903573036194, 0.6142280697822571, 0.6123670935630798, 0.6105510592460632, 0.6090002655982971, 0.607146680355072, 0.605295717716217, 0.6034489274024963, 0.6018080115318298, 0.5994952321052551, 0.597668468952179, 0.595846951007843, 0.5940305590629578, 0.592221200466156, 0.5904174447059631, 0.588620126247406, 0.5868272185325623, 0.5850406289100647, 0.583259642124176, 0.5814843773841858, 0.5797142386436462, 0.5779486298561096, 0.5767181515693665, 0.5749663710594177, 0.5733234286308289, 0.57157963514328, 0.5698409676551819, 0.5683459639549255, 0.5670332312583923, 0.5653075575828552, 0.5636983513832092, 0.5619828104972839, 0.5602743029594421, 0.5585735440254211, 0.5568795800209045, 0.5551947951316833, 0.5535184741020203, 0.551852285861969, 0.5501942038536072, 0.5485474467277527, 0.5469104647636414, 0.5452849268913269, 0.5436704754829407, 0.5420684218406677, 0.5404797196388245, 0.5389032959938049, 0.5373397469520569, 0.5357895493507385, 0.5342528223991394, 0.53272944688797, 0.5312195420265198, 0.5297237038612366, 0.5282767415046692, 0.526806652545929, 0.5253497958183289, 0.5239070057868958, 0.5224787592887878, 0.521064817905426, 0.5196653008460999, 0.5182768702507019, 0.5169020295143127, 0.5155408978462219, 0.5141929984092712, 0.5128563046455383, 0.5115328431129456, 0.5103532671928406, 0.5090528130531311, 0.507767379283905, 0.5064906477928162, 0.5052266716957092, 0.5039729475975037, 0.5026397109031677, 0.5014088749885559, 0.500188410282135, 0.4990794062614441, 0.4978802800178528, 0.49668949842453003, 0.4955095648765564, 0.4943400025367737, 0.49317771196365356, 0.49202603101730347, 0.49088340997695923, 0.4897494912147522, 0.4886254668235779, 0.48750966787338257, 0.4864022135734558, 0.48530441522598267, 0.4842151999473572, 0.4831342101097107, 0.48206084966659546], forces=[(0.0014474455965682864, -0.008723163977265358, 0.023434842005372047), (0.002121145837008953, -0.0027060217689722776, 0.03421592339873314), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007791412528604269, -0.017415007576346397, 0.005028094630688429), (0.006465333979576826, -0.006470308639109135, 0.03604525700211525), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00996571034193039, -0.0022643408738076687, -0.005411806516349316), (-0.001548701198771596, -0.012766900472342968, 0.03594118729233742), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002148557221516967, -0.005958564579486847, 0.018430350348353386), (0.002867537084966898, 0.025657648220658302, 0.028671875596046448), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008714164607226849, -0.018170146271586418, -0.0008552923682145774), (0.02329312078654766, 0.0699610635638237, -0.063874252140522), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0048187505453825, -0.0008715845178812742, -0.006951828021556139), (-0.010119630955159664, 0.017490733414888382, 0.013139290735125542), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0037510471884161234, -0.004321621265262365, 0.015518181025981903), (-0.0019923795480281115, -0.004495777189731598, 0.034348271787166595), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00042407147702760994, -0.0036057522520422935, 0.01383369043469429), (-0.0086209112778306, -0.009078944101929665, 0.03251372650265694), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0029576497618108988, -0.0065484424121677876, 0.014133519493043423), (-0.0009875567629933357, -0.01079638209193945, 0.029818594455718994), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011600770987570286, 0.15321077406406403, -0.06287229061126709), (-0.014130757190287113, 0.22946058213710785, -0.11458710581064224)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=38, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.827801465988159, -0.0008653055410832167, 16.895524978637695), (1.4565935134887695, 1.4322928190231323, 18.812410354614258), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.835740804672241, 2.8289222717285156, 16.886625289916992), (1.4279276132583618, 4.241393566131592, 18.829402923583984), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.827723979949951, 5.6397809982299805, 16.886186599731445), (1.4367165565490723, 7.042590618133545, 18.81904411315918), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.667868137359619, 0.009818903170526028, 16.9539794921875), (4.210037708282471, 1.414030909538269, 18.846399307250977), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.6773362159729, 2.794494390487671, 16.954566955566406), (4.219780921936035, 4.244548797607422, 18.836748123168945), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.655877590179443, 5.647712230682373, 16.915393829345703), (4.221796035766602, 7.045690059661865, 18.835437774658203), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.43884563446045, 0.01889156922698021, 16.963531494140625), (6.978673934936523, 1.607438564300537, 19.050888061523438), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.452057838439941, 2.810070514678955, 16.9342041015625), (7.0616984367370605, 4.281728267669678, 18.868160247802734), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.457497596740723, 5.651637077331543, 16.909542083740234), (7.054696083068848, 7.011219501495361, 18.927885055541992), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (7.324810028076172, 0.4603632390499115, 20.687074661254883), (6.506784439086914, 0.5207564234733582, 21.226333618164062)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.7054783701896667, energy_trajectory=[1.3159139156341553, 1.3040218353271484, 1.295863151550293, 1.28731107711792, 1.2791707515716553, 1.2712373733520508, 1.2631208896636963, 1.255382776260376, 1.2473094463348389, 1.2394461631774902, 1.2316431999206543, 1.2239246368408203, 1.2163338661193848, 1.2089314460754395, 1.2014596462249756, 1.1939582824707031, 1.186110496520996, 1.1788661479949951, 1.1716134548187256, 1.1644706726074219, 1.1575572490692139, 1.1508071422576904, 1.1442036628723145, 1.137746810913086, 1.1314301490783691, 1.1252508163452148, 1.1192076206207275, 1.1132948398590088, 1.1073894500732422, 1.1016812324523926, 1.096224308013916, 1.0908689498901367, 1.0856728553771973, 1.0804815292358398, 1.075472116470337, 1.0704991817474365, 1.0656774044036865, 1.060910940170288, 1.0561192035675049, 1.05155348777771, 1.04707932472229, 1.0427026748657227, 1.038292646408081, 1.033811330795288, 1.029703140258789, 1.0253803730010986, 1.0214452743530273, 1.0176916122436523, 1.013922929763794, 1.0101046562194824, 1.0065093040466309, 1.002995252609253, 0.9995852112770081, 0.9962367415428162, 0.9929710030555725, 0.9897832274436951, 0.9867605566978455, 0.9837310910224915, 0.9794201254844666, 0.9765368103981018, 0.9737281203269958, 0.9709965586662292, 0.9683390259742737, 0.9657508730888367, 0.9631887078285217, 0.9607686400413513, 0.9585760235786438, 0.95626300573349, 0.9540181756019592, 0.9517824053764343, 0.9496660828590393, 0.947612464427948, 0.9457239508628845, 0.9437902569770813, 0.9419148564338684, 0.9400952458381653, 0.9383328557014465, 0.9366260170936584, 0.9349702000617981, 0.9333668351173401, 0.9318180680274963, 0.9303163886070251, 0.9288578629493713, 0.9274575114250183, 0.9261022210121155, 0.924795925617218, 0.9235313534736633, 0.9223116040229797, 0.9211327433586121, 0.91999751329422, 0.9188992381095886, 0.9178375601768494, 0.9168002009391785, 0.9158121943473816, 0.9148538708686829, 0.9139261841773987, 0.9130247235298157, 0.9121490120887756, 0.9113509058952332, 0.9105122685432434, 0.9096984267234802, 0.9089029431343079, 0.9081193804740906, 0.907350480556488, 0.9065642952919006, 0.9058170914649963, 0.9050789475440979, 0.9043505787849426, 0.9036293625831604, 0.9029186367988586, 0.9022154211997986, 0.9015206694602966, 0.9008341431617737, 0.9002785086631775, 0.8996062874794006, 0.8989455103874207, 0.8983879685401917, 0.8977429270744324, 0.8971074223518372, 0.8964807391166687, 0.8958632349967957, 0.895253598690033, 0.8946501612663269, 0.8940549492835999, 0.8934646248817444, 0.892880380153656, 0.8926666378974915, 0.891922652721405, 0.8913472294807434, 0.8907741904258728, 0.8902050852775574, 0.8896337151527405, 0.8893232941627502, 0.8887485861778259, 0.8881729245185852, 0.8875946402549744, 0.8870125412940979, 0.88642817735672, 0.8858391642570496, 0.8852434754371643, 0.8850051760673523, 0.8848201632499695, 0.884215772151947, 0.8835018277168274, 0.8828807473182678, 0.8822527527809143, 0.8816165328025818, 0.8808755278587341, 0.8802191615104675, 0.8795525431632996, 0.8788755536079407, 0.8781886696815491, 0.8774896264076233, 0.8768643736839294, 0.8761412501335144, 0.8754052519798279, 0.8750544190406799, 0.8742915987968445, 0.8735138773918152, 0.8727226853370667, 0.8719157576560974, 0.8709695935249329, 0.87013179063797, 0.8692769408226013, 0.8684056401252747, 0.8675242066383362, 0.8666449189186096, 0.8657543063163757, 0.8648602366447449, 0.8639605641365051, 0.8630563616752625, 0.8621483445167542, 0.8612366318702698, 0.8603193163871765, 0.8593992590904236, 0.8584763407707214, 0.8575500845909119, 0.8566194176673889, 0.8556864857673645, 0.8547517657279968, 0.8538115620613098, 0.8528696894645691, 0.8518665432929993, 0.8509216904640198, 0.8499732613563538, 0.8490193486213684, 0.8480611443519592, 0.8470976948738098, 0.8461290001869202, 0.8451531529426575, 0.8441705107688904, 0.8431821465492249, 0.8421847224235535, 0.8411803841590881, 0.8401669859886169, 0.8391452431678772, 0.8381516337394714, 0.8371120095252991, 0.8360177874565125, 0.8349593281745911, 0.8336461186408997, 0.8325669169425964, 0.8314763903617859, 0.8303781151771545, 0.8292693495750427, 0.8281522393226624, 0.8270261883735657, 0.8258944153785706, 0.8247526288032532, 0.8236047625541687, 0.8224512934684753, 0.8212915062904358, 0.8201280236244202, 0.8189592957496643, 0.8177867531776428, 0.8166086077690125, 0.8154281973838806, 0.8142454028129578, 0.8130584359169006, 0.8120225071907043, 0.8107777237892151, 0.8095861077308655, 0.8083935379981995, 0.8071981072425842, 0.8060012459754944, 0.8048012852668762, 0.8036020398139954, 0.8023986220359802, 0.8011940121650696, 0.7999858260154724, 0.7987759709358215, 0.7974600195884705, 0.7962431311607361, 0.7950237393379211, 0.7938013672828674, 0.7925739884376526, 0.7913432717323303, 0.7901415228843689, 0.7889036536216736, 0.787641704082489, 0.7863981127738953, 0.7851487994194031, 0.783896267414093, 0.7826386094093323, 0.7813772559165955, 0.7801113724708557, 0.7788587212562561, 0.7775866389274597, 0.7763251662254333, 0.7750473618507385, 0.7737661004066467, 0.7724804282188416, 0.7711907029151917, 0.7698970437049866, 0.7686002850532532, 0.767299234867096, 0.7659936547279358, 0.7646843791007996, 0.7633704543113708, 0.7620512843132019, 0.7607296109199524, 0.7594011425971985, 0.7580698132514954, 0.7567324042320251, 0.7553898692131042, 0.7540441155433655, 0.7526922821998596, 0.7513362765312195, 0.7496615052223206, 0.7482954859733582, 0.7469252943992615, 0.7455500960350037, 0.7441696524620056, 0.7427858710289001, 0.74139803647995, 0.7400067448616028, 0.7386110424995422, 0.7372121214866638, 0.7358084321022034, 0.7344315648078918, 0.7330211997032166, 0.7316077351570129, 0.7301884293556213, 0.7287654280662537, 0.7274447083473206, 0.7260110974311829, 0.7245727181434631, 0.7231277823448181, 0.7216776013374329, 0.7202219367027283, 0.718762218952179, 0.7172954678535461, 0.7158238291740417, 0.7143474221229553, 0.7129350304603577, 0.7114493250846863, 0.709961473941803, 0.708469569683075, 0.7069749236106873, 0.7054783701896667], forces=[(-0.005429218057543039, 0.007240190636366606, 0.02728382870554924), (-0.033144742250442505, 0.0025849679950624704, 0.07122606039047241), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015497483313083649, 0.0016861825715750456, 0.026838554069399834), (-0.004285537172108889, 0.005150505341589451, 0.055993422865867615), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0009640741627663374, 0.00530485063791275, 0.02809937298297882), (-0.005410224664956331, 0.018350418657064438, 0.06335742026567459), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00922833476215601, 0.007939602248370647, 0.01030175294727087), (0.012623140588402748, 0.019807692617177963, 0.03821491077542305), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03213293477892876, 0.055728476494550705, -0.024913618341088295), (0.005360814742743969, 0.0030981949530541897, 0.05165901035070419), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013890349306166172, 0.040954917669296265, 0.049272529780864716), (0.0022313185036182404, 0.01926911249756813, 0.05692274123430252), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006661377847194672, 0.001066369703039527, 0.00304914521984756), (0.06389196217060089, 0.007832273840904236, -0.13310731947422028), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006145551335066557, 0.0322624109685421, 0.0040376256220042706), (0.0035371361300349236, 0.03920702263712883, 0.055290576070547104), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012587849982082844, 0.032532721757888794, 0.045368846505880356), (0.005966236349195242, 0.0826617032289505, 0.16373182833194733), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.15824034810066223, -0.31787005066871643, -0.18794851005077362), (0.0008554241503588855, -0.10450064390897751, -0.015375320799648762)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=39, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8223767280578613, 0.0061509269289672375, 16.902549743652344), (1.415671944618225, 1.4192488193511963, 18.84818458557129), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7981274127960205, 2.857592821121216, 16.969280242919922), (1.5434094667434692, 4.441335201263428, 19.288209915161133), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.7964751720428467, 5.615870475769043, 16.97466278076172), (1.4223053455352783, 7.126627445220947, 18.8795108795166), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.646254539489746, 0.0033523021265864372, 16.894874572753906), (4.240861415863037, 1.4099375009536743, 18.836284637451172), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.649746894836426, 2.8276877403259277, 16.90843391418457), (4.288204193115234, 4.249547481536865, 18.859533309936523), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.65569543838501, 5.644870281219482, 16.903261184692383), (4.254481315612793, 7.078822612762451, 18.840415954589844), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.467309951782227, -0.0005388172576203942, 16.90714454650879), (7.051745414733887, 1.4083585739135742, 18.837615966796875), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.500779151916504, 2.855389356613159, 16.972089767456055), (7.064373016357422, 4.238171100616455, 18.86383056640625), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.514775276184082, 5.608220100402832, 16.991161346435547), (7.047706604003906, 7.066165924072266, 18.843482971191406), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.6372714042663574, 4.09695291519165, 21.24295425415039), (1.5857800245285034, 4.947176456451416, 21.732345581054688)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.962629497051239, energy_trajectory=[1.18107008934021, 1.169485092163086, 1.1595792770385742, 1.149496078491211, 1.1396911144256592, 1.129920482635498, 1.1202828884124756, 1.1105496883392334, 1.101012945175171, 1.0914678573608398, 1.0821154117584229, 1.07212495803833, 1.062589406967163, 1.053318977355957, 1.0440032482147217, 1.0345375537872314, 1.0253195762634277, 1.016706943511963, 1.0086781978607178, 1.0011065006256104, 0.9939581751823425, 0.9871850609779358, 0.98075932264328, 0.9746024012565613, 0.9685918688774109, 0.9629948735237122, 0.9575260281562805, 0.9522684216499329, 0.9473535418510437, 0.9424853920936584, 0.9377115368843079, 0.9333344101905823, 0.9293970465660095, 0.9253435730934143, 0.921445906162262, 0.917695939540863, 0.9140873551368713, 0.9104649424552917, 0.9071279168128967, 0.9039209485054016, 0.9014163613319397, 0.898395836353302, 0.8955625891685486, 0.8929352164268494, 0.8903425335884094, 0.8878323435783386, 0.8854531645774841, 0.8832432627677917, 0.881159245967865, 0.8792082667350769, 0.8773483633995056, 0.8757115006446838, 0.8742148280143738, 0.8728067278862, 0.8705934882164001, 0.8694432377815247, 0.868420422077179, 0.8675053715705872, 0.8667015433311462, 0.8659778237342834, 0.8652907013893127, 0.8645696043968201, 0.8639349341392517, 0.86359041929245, 0.8629358410835266, 0.8622686266899109, 0.8615773320198059, 0.8608713746070862, 0.8599026799201965, 0.8591781258583069, 0.8583257794380188, 0.8577528595924377, 0.8570627570152283, 0.8563991189002991, 0.855802595615387, 0.8552747368812561, 0.8549681305885315, 0.8546170592308044, 0.854369580745697, 0.8542342782020569, 0.8542153239250183, 0.8543122410774231, 0.85451740026474, 0.8548231720924377, 0.8552190661430359, 0.8556970953941345, 0.8562459349632263, 0.8568999171257019, 0.8575664162635803, 0.8581454157829285, 0.8589029908180237, 0.8596990704536438, 0.8605316281318665, 0.8613952994346619, 0.862287700176239, 0.8632147908210754, 0.8641567826271057, 0.865205705165863, 0.8659835457801819, 0.8669846653938293, 0.8680006861686707, 0.8688415884971619, 0.8698850274085999, 0.8709402680397034, 0.8720083832740784, 0.8730844855308533, 0.8741709589958191, 0.8746016621589661, 0.8756967186927795, 0.8767418265342712, 0.8779018521308899, 0.8790226578712463, 0.8801483511924744, 0.8812806010246277, 0.8824151158332825, 0.883324921131134, 0.8844626545906067, 0.8856003880500793, 0.8870719075202942, 0.8880038857460022, 0.8889885544776917, 0.8901224732398987, 0.8912498354911804, 0.8923736214637756, 0.8934903740882874, 0.8945996165275574, 0.8957006335258484, 0.8967986702919006, 0.897885262966156, 0.8989666104316711, 0.9000372290611267, 0.9010972380638123, 0.90214604139328, 0.9031887650489807, 0.9041771292686462, 0.9047206044197083, 0.9057231545448303, 0.9067159295082092, 0.9076966643333435, 0.9086664319038391, 0.9096267819404602, 0.9105750918388367, 0.9115095734596252, 0.9124343991279602, 0.9133455157279968, 0.9142469763755798, 0.9151372313499451, 0.9160160422325134, 0.9168824553489685, 0.9177386164665222, 0.9185861945152283, 0.9194228053092957, 0.9202490448951721, 0.9214012026786804, 0.9222126603126526, 0.9230144619941711, 0.9237563014030457, 0.9245815873146057, 0.9253577589988708, 0.926124632358551, 0.9267000555992126, 0.9273908734321594, 0.9281511902809143, 0.9289053082466125, 0.9296539425849915, 0.9303953051567078, 0.9312636256217957, 0.9319865107536316, 0.9326979517936707, 0.933401882648468, 0.9341017603874207, 0.9347918629646301, 0.9353663325309753, 0.9360449910163879, 0.9367125630378723, 0.9373748898506165, 0.9380281567573547, 0.9386746287345886, 0.9393122792243958, 0.9399415850639343, 0.9405601620674133, 0.9411701560020447, 0.9417712092399597, 0.9432241320610046, 0.9437941908836365, 0.9443511366844177, 0.9448948502540588, 0.9452547430992126, 0.9457777142524719, 0.9462911486625671, 0.9466461539268494, 0.9471344351768494, 0.9476078152656555, 0.9480717778205872, 0.9485196471214294, 0.9489591717720032, 0.9493865370750427, 0.9498657584190369, 0.9502702355384827, 0.9506639838218689, 0.9510464072227478, 0.9514181017875671, 0.9517733454704285, 0.9521240592002869, 0.9524646401405334, 0.9527959227561951, 0.9530927538871765, 0.9534047245979309, 0.9538981318473816, 0.9541900753974915, 0.9544783234596252, 0.9547565579414368, 0.9550294280052185, 0.9552940726280212, 0.9552150368690491, 0.9554654955863953, 0.9557134509086609, 0.9559537768363953, 0.956092894077301, 0.9565593600273132, 0.9567796587944031, 0.956997811794281, 0.9572110772132874, 0.9574186205863953, 0.9577429890632629, 0.9579443335533142, 0.9581400752067566, 0.9583328366279602, 0.9588776230812073, 0.9590598940849304, 0.9606643319129944, 0.9603155255317688, 0.9604795575141907, 0.9606413245201111, 0.9607965350151062, 0.9611243605613708, 0.9612756371498108, 0.9614234566688538, 0.9615668654441833, 0.9619265198707581, 0.9620640873908997, 0.9618416428565979, 0.9622568488121033, 0.9623787999153137, 0.9624971747398376, 0.9626125693321228, 0.9627243876457214, 0.9628322720527649, 0.962933361530304, 0.9645102620124817, 0.964595377445221, 0.9646709561347961, 0.9647477269172668, 0.9648198485374451, 0.9651643633842468, 0.9650259613990784, 0.965092122554779, 0.9650018811225891, 0.9650259613990784, 0.9650833010673523, 0.9651376605033875, 0.9651884436607361, 0.9653776288032532, 0.9654247164726257, 0.9654667973518372, 0.9655026793479919, 0.9655352234840393, 0.9655643105506897, 0.9657124876976013, 0.96573406457901, 0.9657488465309143, 0.9657608866691589, 0.9657651782035828, 0.9657647013664246, 0.9657594561576843, 0.9657503962516785, 0.9657317996025085, 0.9657109379768372, 0.9656834006309509, 0.9655595421791077, 0.9657054543495178, 0.9656582474708557, 0.9656041264533997, 0.9654194712638855, 0.9653474688529968, 0.9652717709541321, 0.9651861786842346, 0.9650929570198059, 0.9649917483329773, 0.9643121361732483, 0.9641929268836975, 0.9640639424324036, 0.9639292359352112, 0.9637822508811951, 0.963625967502594, 0.9634599089622498, 0.9632837176322937, 0.9630975127220154, 0.9629002213478088, 0.962629497051239], forces=[(0.011368637904524803, 0.004590954631567001, 0.008813663385808468), (0.006716023664921522, -0.002291304524987936, 0.005217813886702061), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013515611179172993, -0.001557511044666171, -0.0026022931560873985), (-0.11430490761995316, -0.08447519689798355, -0.17340539395809174), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0168455820530653, 0.016618352383375168, -0.000993206980638206), (0.0037392950616776943, 0.005612211301922798, 0.003081228584051132), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0028749124612659216, 0.003096201689913869, 0.01957864500582218), (0.012409435585141182, 0.005065390840172768, 0.03108738362789154), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003758653998374939, -0.0008305090013891459, 0.009591953828930855), (-0.006542382296174765, -0.0015979050658643246, 0.007932554930448532), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0029310439713299274, 0.009369640611112118, 0.014146223664283752), (0.00217101420275867, 0.0016771360533311963, 0.034790992736816406), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003547478001564741, 0.0059495288878679276, 0.0043225642293691635), (0.008784172125160694, 0.009596483781933784, 0.03128213807940483), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005437023937702179, -0.003008386353030801, -0.010423582047224045), (0.0013257291866466403, 0.007285884115844965, 0.01150521356612444), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006565636023879051, 0.016056492924690247, -0.005251762922853231), (0.006426022853702307, 0.013660229742527008, 0.03148937597870827), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.08615859597921371, 0.023460043594241142, -0.16048038005828857), (-0.007324971258640289, -0.03235941007733345, -0.19867540895938873)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=40, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.827951669692993, 0.0038188928738236427, 16.882198333740234), (1.4349992275238037, 1.3958051204681396, 18.831031799316406), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8625833988189697, 2.8431594371795654, 16.932903289794922), (1.4894765615463257, 4.233171463012695, 18.87086296081543), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.86140513420105, 5.629563808441162, 16.92725944519043), (1.4381293058395386, 7.074403762817383, 18.8282470703125), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.652215957641602, 0.002964976942166686, 16.89267921447754), (4.241705894470215, 1.392411708831787, 18.82501983642578), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.667531490325928, 2.8534834384918213, 16.965688705444336), (4.184926986694336, 4.271401882171631, 19.0046329498291), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.670567035675049, 5.615255355834961, 16.95766830444336), (4.249595642089844, 7.08606481552124, 18.82646369934082), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.48316478729248, 0.0045120595023036, 16.879215240478516), (7.086587905883789, 1.3803128004074097, 18.82075309753418), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.474859237670898, 2.843062162399292, 16.935422897338867), (7.286495208740234, 4.234312534332275, 19.01068878173828), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.480508804321289, 5.624593257904053, 16.92630386352539), (7.0945892333984375, 7.075899600982666, 18.816349029541016), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.763044357299805, 4.227741241455078, 20.46462631225586), (5.8160247802734375, 5.107919692993164, 20.896467208862305)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4324198365211487, energy_trajectory=[1.0733797550201416, 1.0606765747070312, 1.0516669750213623, 1.042328119277954, 1.0330784320831299, 1.024094581604004, 1.0151383876800537, 1.0064797401428223, 0.9975937008857727, 0.9890449643135071, 0.9809965491294861, 0.9730530381202698, 0.9661871790885925, 0.9587172865867615, 0.9515889286994934, 0.9446219801902771, 0.9378262162208557, 0.9312183260917664, 0.9252120852470398, 0.9194632172584534, 0.9137349724769592, 0.9080926775932312, 0.9026007056236267, 0.8973128199577332, 0.892240583896637, 0.8870852589607239, 0.8821821808815002, 0.8774003386497498, 0.8727555871009827, 0.868231475353241, 0.8638380169868469, 0.8594889044761658, 0.8552995324134827, 0.8512113690376282, 0.8473412394523621, 0.8431429266929626, 0.8393535017967224, 0.8356255888938904, 0.8319781422615051, 0.828408420085907, 0.8249124884605408, 0.8214853405952454, 0.8181772828102112, 0.8148990273475647, 0.8116633296012878, 0.8085408806800842, 0.8054144978523254, 0.8023284077644348, 0.7993549704551697, 0.7965198159217834, 0.7937702536582947, 0.7911006808280945, 0.7885052561759949, 0.7859799265861511, 0.7835204005241394, 0.7811221480369568, 0.7787840962409973, 0.7764990925788879, 0.7742655873298645, 0.7720807194709778, 0.7699407935142517, 0.7678001523017883, 0.7657467722892761, 0.7637298703193665, 0.7617492079734802, 0.75980144739151, 0.757901132106781, 0.7560115456581116, 0.7541504502296448, 0.7523141503334045, 0.7505432963371277, 0.748753011226654, 0.7469841837882996, 0.7452355027198792, 0.7435055375099182, 0.741792619228363, 0.7400969862937927, 0.7384173274040222, 0.736752450466156, 0.7351003289222717, 0.7334629893302917, 0.7318370938301086, 0.7302239537239075, 0.7285594344139099, 0.7269683480262756, 0.7253915667533875, 0.7238240838050842, 0.7222676873207092, 0.7207216620445251, 0.7191870808601379, 0.717661440372467, 0.716145932674408, 0.7146391272544861, 0.7131417393684387, 0.7116523385047913, 0.7102202773094177, 0.7087461352348328, 0.707278311252594, 0.7058162093162537, 0.7043595910072327, 0.7029085755348206, 0.70146244764328, 0.6998192667961121, 0.6983378529548645, 0.6968875527381897, 0.6954358220100403, 0.6939824223518372, 0.692529022693634, 0.6910756230354309, 0.6896199584007263, 0.6881616711616516, 0.6867577433586121, 0.6852954030036926, 0.6838300824165344, 0.6823439002037048, 0.6808719038963318, 0.6793966889381409, 0.6779194474220276, 0.6764393448829651, 0.6748246550559998, 0.673341691493988, 0.6718569397926331, 0.6703711152076721, 0.6687890887260437, 0.6672975420951843, 0.6658053994178772, 0.6641891598701477, 0.6626933217048645, 0.660688579082489, 0.6591903567314148, 0.6577091813087463, 0.6562049984931946, 0.6547003388404846, 0.6531925797462463, 0.6516808867454529, 0.6501675248146057, 0.648649275302887, 0.647129237651825, 0.645603597164154, 0.6440909504890442, 0.6425564885139465, 0.6410178542137146, 0.6394733786582947, 0.6379237771034241, 0.6363690495491028, 0.6348089575767517, 0.6333516240119934, 0.6317762732505798, 0.6301961541175842, 0.628607451915741, 0.6270124316215515, 0.6252909302711487, 0.6236690878868103, 0.6220389008522034, 0.6204008460044861, 0.6187557578086853, 0.6171018481254578, 0.6153572201728821, 0.6137811541557312, 0.6121082901954651, 0.6104289889335632, 0.6087430119514465, 0.6070511937141418, 0.6053538918495178, 0.6036530137062073, 0.6019473671913147, 0.600238025188446, 0.6009646058082581, 0.5992478728294373, 0.5975260138511658, 0.5958027243614197, 0.5940766930580139, 0.5922057032585144, 0.5904791951179504, 0.5887560248374939, 0.5870401263237, 0.5853303074836731, 0.5837007164955139, 0.5820053219795227, 0.5803171992301941, 0.5786356329917908, 0.5769603848457336, 0.5752905011177063, 0.5736299157142639, 0.5719745755195618, 0.570328414440155, 0.5687598586082458, 0.5671283602714539, 0.5655058026313782, 0.5638903975486755, 0.5622832179069519, 0.5606834292411804, 0.559093177318573, 0.557512104511261, 0.5559398531913757, 0.5543785691261292, 0.5528268218040466, 0.5512332320213318, 0.5496357083320618, 0.5481205582618713, 0.5465595126152039, 0.5450671315193176, 0.5435860753059387, 0.5425825715065002, 0.5411269068717957, 0.5396825671195984, 0.5382488369941711, 0.5368275046348572, 0.5354166626930237, 0.5340166687965393, 0.5326278805732727, 0.5312483906745911, 0.5300083756446838, 0.528647243976593, 0.5272954106330872, 0.5259523987770081, 0.5243461728096008, 0.523019015789032, 0.5216982960700989, 0.5203859210014343, 0.5190797448158264, 0.5177164673805237, 0.5164243578910828, 0.5151378512382507, 0.5138556361198425, 0.5125778317451477, 0.5113046765327454, 0.5100354552268982, 0.5087692141532898, 0.5075075030326843, 0.5062487721443176, 0.5049929022789001, 0.503739058971405, 0.5024893879890442, 0.5012415051460266, 0.4999966025352478, 0.4987552762031555, 0.49751657247543335, 0.49628037214279175, 0.4950471520423889, 0.49381881952285767, 0.49259310960769653, 0.4913713335990906, 0.49015337228775024, 0.48893922567367554, 0.48778897523880005, 0.4865848422050476, 0.48538607358932495, 0.484191358089447, 0.4830014109611511, 0.4818161129951477, 0.4806368947029114, 0.4794636368751526, 0.47829514741897583, 0.47713547945022583, 0.4759816527366638, 0.47483378648757935, 0.47369319200515747, 0.47255903482437134, 0.4714340567588806, 0.47013968229293823, 0.4687809348106384, 0.4676751494407654, 0.46650487184524536, 0.46541327238082886, 0.46433085203170776, 0.4632568955421448, 0.462094247341156, 0.46104055643081665, 0.45999449491500854, 0.4589572548866272, 0.45792776346206665, 0.4569074511528015, 0.45589667558670044, 0.4548947215080261, 0.4539012312889099, 0.45291668176651, 0.4519427418708801, 0.45097655057907104, 0.4500197768211365, 0.4490719437599182, 0.4481334090232849, 0.4472045302391052, 0.4462844729423523, 0.445374071598053, 0.4444736838340759, 0.4435827136039734, 0.44218093156814575, 0.4413112998008728, 0.4404507279396057, 0.43959933519363403, 0.4387579560279846, 0.4379252791404724, 0.4371029734611511, 0.43629008531570435, 0.435486376285553, 0.43469327688217163, 0.433910071849823, 0.43313664197921753, 0.4324198365211487], forces=[(0.0042904759757220745, -0.003814882365986705, 0.037149619311094284), (-0.0002465824654791504, 0.007822404615581036, 0.06510037928819656), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009106543846428394, -0.012478455901145935, 0.011914913542568684), (-0.05640426650643349, -0.0034764655865728855, 0.05179951712489128), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008454002439975739, 0.003779101185500622, 0.021917248144745827), (-0.0009023355087265372, -0.007473661098629236, 0.06923597306013107), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00797953363507986, -0.0022099134512245655, 0.03978070989251137), (0.008903838694095612, 0.00523447385057807, 0.05699974671006203), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0005090082995593548, -0.01906523108482361, -0.010394600220024586), (-0.017664466053247452, -0.012797634117305279, -0.0380951389670372), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0047053140588104725, 0.020938219502568245, -0.013698706403374672), (0.007997368462383747, -0.013805742375552654, 0.07258954644203186), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006562706083059311, -0.009402316994965076, 0.04292764142155647), (0.006309885531663895, 0.020107900723814964, 0.06583738327026367), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.023982863873243332, -0.02392718568444252, -0.009463779628276825), (-0.16205091774463654, 0.015808062627911568, -0.07875984907150269), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011230909265577793, 0.010164964012801647, 0.012799311429262161), (-0.008771099150180817, -0.017706802114844322, 0.08979179710149765), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05337971821427345, -0.04689578339457512, 0.04097624123096466), (-0.1175030842423439, 0.01055071409791708, -0.07423575967550278)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=41, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8339438438415527, -0.02165035717189312, 16.966272354125977), (1.358865737915039, 1.4179834127426147, 18.813398361206055), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.823183059692383, 2.7875375747680664, 16.9248046875), (1.380580186843872, 4.211806774139404, 18.8333740234375), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8146727085113525, 5.625960826873779, 16.919893264770508), (1.3287832736968994, 7.006961822509766, 18.800302505493164), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.607962608337402, -0.014468212611973286, 16.951030731201172), (4.2449541091918945, 1.4600733518600464, 19.011184692382812), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.609748363494873, 2.78572940826416, 16.944564819335938), (4.203269004821777, 4.162726879119873, 18.874126434326172), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.600225925445557, 5.637959957122803, 16.943689346313477), (4.274872303009033, 6.8395795822143555, 18.97442626953125), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.445413589477539, -0.004414409399032593, 16.89385223388672), (7.056634426116943, 1.3966697454452515, 18.846216201782227), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.442694664001465, 2.8194260597229004, 16.886472702026367), (7.055739879608154, 4.209620475769043, 18.841684341430664), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.436111450195312, 5.622758388519287, 16.88039779663086), (7.052472114562988, 7.031454563140869, 18.83814811706543), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (3.92889142036438, 8.265409469604492, 20.457040786743164), (4.531885147094727, 8.143484115600586, 21.224950790405273)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5669334530830383, energy_trajectory=[1.5254905223846436, 1.5115487575531006, 1.5013675689697266, 1.4913749694824219, 1.481623649597168, 1.4720649719238281, 1.462921142578125, 1.4546499252319336, 1.44561767578125, 1.4372808933258057, 1.4284701347351074, 1.419856309890747, 1.4119644165039062, 1.4034135341644287, 1.3951730728149414, 1.386890172958374, 1.3786375522613525, 1.37060546875, 1.3621063232421875, 1.354123830795288, 1.346144199371338, 1.338252067565918, 1.330366849899292, 1.322587251663208, 1.314875602722168, 1.3072121143341064, 1.2995481491088867, 1.2919816970825195, 1.284456491470337, 1.276932716369629, 1.2694973945617676, 1.2621068954467773, 1.2547581195831299, 1.247457504272461, 1.2402539253234863, 1.233051061630249, 1.2258899211883545, 1.2187740802764893, 1.2117009162902832, 1.2047960758209229, 1.1980857849121094, 1.1911542415618896, 1.184260606765747, 1.1774044036865234, 1.1705036163330078, 1.1637353897094727, 1.1570253372192383, 1.1503918170928955, 1.1438400745391846, 1.1373724937438965, 1.1308584213256836, 1.1246209144592285, 1.118349313735962, 1.1121830940246582, 1.106088399887085, 1.0999507904052734, 1.0940001010894775, 1.0881729125976562, 1.0823562145233154, 1.0765345096588135, 1.0708434581756592, 1.0652148723602295, 1.0596485137939453, 1.0541419982910156, 1.0487236976623535, 1.0433518886566162, 1.038055181503296, 1.0328319072723389, 1.0276801586151123, 1.0226035118103027, 1.0175933837890625, 1.012627363204956, 1.0077362060546875, 1.002896785736084, 0.9981064200401306, 0.9933620095252991, 0.9886621832847595, 0.9839349389076233, 0.9793309569358826, 0.9747036099433899, 0.9701407551765442, 0.9656774401664734, 0.9612640738487244, 0.9569042325019836, 0.9525968432426453, 0.9483411908149719, 0.9441397786140442, 0.9399922490119934, 0.9358964562416077, 0.9318544268608093, 0.9278637766838074, 0.9239843487739563, 0.9201057553291321, 0.9162781834602356, 0.9125019907951355, 0.9087761044502258, 0.9051010012626648, 0.9014762043952942, 0.8979546427726746, 0.8944260478019714, 0.8909451365470886, 0.8875120282173157, 0.884126603603363, 0.8807876706123352, 0.8774953484535217, 0.8742451071739197, 0.871038019657135, 0.8678709864616394, 0.8647472262382507, 0.8616610169410706, 0.8586146235466003, 0.8556057810783386, 0.852634847164154, 0.8497017025947571, 0.8467628359794617, 0.8439027667045593, 0.8410781025886536, 0.8382864594459534, 0.8355297446250916, 0.8328048586845398, 0.8301138281822205, 0.8274545073509216, 0.8248255848884583, 0.8222293257713318, 0.8196633458137512, 0.8171271681785583, 0.8146229386329651, 0.8121588826179504, 0.8097136616706848, 0.8072969317436218, 0.8049102425575256, 0.8025508522987366, 0.8002187609672546, 0.7979146838188171, 0.7956377863883972, 0.7933889031410217, 0.791166365146637, 0.7889662384986877, 0.7867934107780457, 0.7846478819847107, 0.7825242877006531, 0.7807382941246033, 0.7786672711372375, 0.7766199707984924, 0.7745961546897888, 0.7725972533226013, 0.7706205248832703, 0.7686657309532166, 0.7667345404624939, 0.7648244500160217, 0.7629354596138, 0.7610707879066467, 0.7592256665229797, 0.7573356032371521, 0.7555349469184875, 0.7537552714347839, 0.7519926428794861, 0.7502152323722839, 0.7484936118125916, 0.7467861771583557, 0.7451005578041077, 0.7434284090995789, 0.7417740225791931, 0.7401667237281799, 0.7385461926460266, 0.7369415163993835, 0.7353524565696716, 0.7337765097618103, 0.7322147488594055, 0.7306655049324036, 0.7290967106819153, 0.7275754809379578, 0.7260670065879822, 0.7245696187019348, 0.7230837941169739, 0.7216103672981262, 0.7201469540596008, 0.7186948657035828, 0.7172525525093079, 0.7158200144767761, 0.7143970131874084, 0.7129829525947571, 0.7115785479545593, 0.7101824879646301, 0.7087964415550232, 0.7075687050819397, 0.7061964869499207, 0.7048324942588806, 0.7034761309623718, 0.7021265625953674, 0.7007842659950256, 0.6994475722312927, 0.6981198191642761, 0.6967971920967102, 0.6954813599586487, 0.6942880749702454, 0.6929840445518494, 0.6923113465309143, 0.691017210483551, 0.6897285580635071, 0.6884482502937317, 0.6871723532676697, 0.6859022974967957, 0.6846364140510559, 0.6833747029304504, 0.6821200251579285, 0.6808686852455139, 0.67962247133255, 0.6783798336982727, 0.677141010761261, 0.6759079098701477, 0.6746767163276672, 0.6734510064125061, 0.6722864508628845, 0.6710585951805115, 0.66983562707901, 0.6686155200004578, 0.6678013205528259, 0.6665856242179871, 0.6653704047203064, 0.6642797589302063, 0.6626704335212708, 0.6614518761634827, 0.6602316498756409, 0.6590113043785095, 0.6577879786491394, 0.6565646529197693, 0.6553378701210022, 0.6541090607643127, 0.6528757214546204, 0.6515229344367981, 0.6502842307090759, 0.6490402817726135, 0.6477925181388855, 0.646539032459259, 0.6452808976173401, 0.6440187096595764, 0.6427504420280457, 0.6414769291877747, 0.6401980519294739, 0.6387254595756531, 0.637435257434845, 0.6351644396781921, 0.6338695883750916, 0.6325793862342834, 0.6312975287437439, 0.6300246119499207, 0.6287594437599182, 0.6276653409004211, 0.6264581084251404, 0.6252222657203674, 0.6239932179450989, 0.6227723956108093, 0.6215595602989197, 0.6203543543815613, 0.6191567778587341, 0.6179654002189636, 0.6167803406715393, 0.6156005263328552, 0.6144288182258606, 0.6132611632347107, 0.6120988726615906, 0.6109417080879211, 0.6092932820320129, 0.6081411242485046, 0.6067841649055481, 0.6056390404701233, 0.6044945120811462, 0.6033505797386169, 0.6022093892097473, 0.6010670065879822, 0.5999236702919006, 0.59878009557724, 0.5976348519325256, 0.5964886546134949, 0.5953407883644104, 0.5941913723945618, 0.5930394530296326, 0.5918858647346497, 0.5907304883003235, 0.5895702242851257, 0.5884094834327698, 0.5872450470924377, 0.586077868938446, 0.5847309231758118, 0.5835594534873962, 0.5823848843574524, 0.5812081694602966, 0.5800289511680603, 0.5788472294807434, 0.5776628851890564, 0.5764767527580261, 0.5752881169319153, 0.5740981698036194, 0.5729061961174011, 0.5717141032218933, 0.570519745349884, 0.5693240761756897, 0.5681293606758118, 0.5669334530830383], forces=[(0.01989891193807125, -0.011152821592986584, 0.01370418444275856), (0.03869105875492096, -0.04014745354652405, 0.08106211572885513), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005176507402211428, -0.011760757304728031, 0.015447431243956089), (-0.006588908843696117, -4.06440049118828e-05, 0.05431043729186058), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.022120648995041847, 0.0066268472000956535, 0.02969864010810852), (0.11575779318809509, 0.02729962393641472, 0.10138019174337387), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0005494334036484361, -0.013963618315756321, 0.012105708941817284), (0.02768896333873272, -0.051490671932697296, 0.06026848033070564), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005852861795574427, -0.00895505491644144, -0.004421844147145748), (-0.0006096060387790203, 0.014234173111617565, 0.06494265794754028), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.046569887548685074, -0.05552617087960243, -0.04623377323150635), (-0.0161710437387228, 0.12424512207508087, 0.06373333185911179), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010038173757493496, -0.010823024436831474, 0.012752280570566654), (-0.00319914729334414, -0.010017543099820614, 0.053291354328393936), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009055166505277157, -0.01107625663280487, 0.010993299074470997), (-0.011631565168499947, -0.0018124127527698874, 0.05112704262137413), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.018927400931715965, 0.0035156672820448875, 0.013368597254157066), (-0.002338152378797531, -0.016913512721657753, 0.05222400650382042), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.08160202950239182, 0.12256527692079544, 0.11688116937875748), (0.1439478099346161, 0.21391278505325317, -0.3628287613391876)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=42, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8190886974334717, -0.004490166902542114, 16.880407333374023), (1.4228147268295288, 1.3868401050567627, 18.811649322509766), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8252813816070557, 2.8153128623962402, 16.883037567138672), (1.447850227355957, 4.2102437019348145, 18.815885543823242), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8146278858184814, 5.641672611236572, 16.88581085205078), (1.4094464778900146, 7.049249172210693, 18.811071395874023), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.637053489685059, -0.009067431092262268, 16.88524627685547), (4.222369194030762, 1.401182770729065, 18.8093204498291), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.669328212738037, 2.833587646484375, 16.930015563964844), (4.216776371002197, 4.2333083152771, 18.808210372924805), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6533684730529785, 5.620396614074707, 16.921794891357422), (4.218640327453613, 7.056604385375977, 18.8126277923584), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.464157104492188, -0.019739871844649315, 16.8837833404541), (7.059391021728516, 1.3368628025054932, 18.81329917907715), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.452218055725098, 2.8188982009887695, 16.916545867919922), (7.093668460845947, 4.129993438720703, 19.021804809570312), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.431594848632812, 5.597641468048096, 16.942745208740234), (7.0412068367004395, 7.038962364196777, 18.817527770996094), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (6.994259834289551, 4.025719165802002, 20.994543075561523), (6.3151655197143555, 4.679867744445801, 21.25825309753418)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8788979649543762, energy_trajectory=[1.2203187942504883, 1.2101261615753174, 1.201746940612793, 1.1936583518981934, 1.1857709884643555, 1.1778945922851562, 1.1700716018676758, 1.1622989177703857, 1.15462327003479, 1.147167444229126, 1.1395485401153564, 1.132117748260498, 1.124715805053711, 1.116825819015503, 1.1094460487365723, 1.102299451828003, 1.0953571796417236, 1.0880725383758545, 1.080963134765625, 1.0736238956451416, 1.0665502548217773, 1.059356689453125, 1.0524287223815918, 1.0455052852630615, 1.0383546352386475, 1.0315394401550293, 1.0247752666473389, 1.0180671215057373, 1.0108141899108887, 1.0040931701660156, 0.9975182414054871, 0.9912241101264954, 0.9851194024085999, 0.9792004227638245, 0.9735491871833801, 0.9680879712104797, 0.9627826809883118, 0.9576455950737, 0.9526847004890442, 0.9477306008338928, 0.9432043433189392, 0.9387266039848328, 0.9343501925468445, 0.9301123023033142, 0.9260664582252502, 0.9222434163093567, 0.9185366034507751, 0.9150001406669617, 0.9121755957603455, 0.9088999629020691, 0.9058017134666443, 0.9029133915901184, 0.9001898169517517, 0.8975501656532288, 0.8949771523475647, 0.8926919102668762, 0.8906363844871521, 0.888769805431366, 0.887141764163971, 0.8857558369636536, 0.8846058249473572, 0.8837122321128845, 0.8829396367073059, 0.8822705149650574, 0.8817426562309265, 0.8811215758323669, 0.8805176615715027, 0.8798251748085022, 0.8791781067848206, 0.8783857226371765, 0.8777037262916565, 0.8770447373390198, 0.8760958313941956, 0.8756423592567444, 0.8753247857093811, 0.8752346634864807, 0.8753277659416199, 0.8756070733070374, 0.8760578036308289, 0.8767367005348206, 0.8774216771125793, 0.8782903552055359, 0.8792607188224792, 0.8803163170814514, 0.8814426064491272, 0.8826282620429993, 0.8838618397712708, 0.885138213634491, 0.8864458203315735, 0.8876469731330872, 0.888994038105011, 0.8903544545173645, 0.8917225003242493, 0.8930904269218445, 0.8916849493980408, 0.8930453658103943, 0.8943955302238464, 0.8964871764183044, 0.8978064656257629, 0.8991051316261292, 0.900378406047821, 0.9016315340995789, 0.9028597474098206, 0.9040660262107849, 0.9050397276878357, 0.9060655236244202, 0.9071909785270691, 0.9084164500236511, 0.9094868302345276, 0.9105305075645447, 0.9115453362464905, 0.9125930666923523, 0.9135540127754211, 0.9144900441169739, 0.9153994917869568, 0.9162847399711609, 0.917146623134613, 0.9179840683937073, 0.9187982678413391, 0.919792115688324, 0.9204544425010681, 0.9212118983268738, 0.9219489693641663, 0.922214686870575, 0.9229127764701843, 0.9235939383506775, 0.9242569804191589, 0.9249029755592346, 0.9253806471824646, 0.9259944558143616, 0.9265921711921692, 0.9271753430366516, 0.9277442097663879, 0.9282997250556946, 0.9288396239280701, 0.9293685555458069, 0.9298821091651917, 0.9303858876228333, 0.930874764919281, 0.9313529133796692, 0.9318068623542786, 0.9322603344917297, 0.9327014088630676, 0.9331337809562683, 0.9335528016090393, 0.9339612126350403, 0.934359610080719, 0.9347478747367859, 0.9351269602775574, 0.9354949593544006, 0.9358565211296082, 0.9362087845802307, 0.9364991784095764, 0.9368335604667664, 0.9371458888053894, 0.937465250492096, 0.9398232102394104, 0.9401254057884216, 0.9404128193855286, 0.9406943917274475, 0.9409641623497009, 0.9411637187004089, 0.9414156079292297, 0.9416558146476746, 0.9418897032737732, 0.9421148896217346, 0.9423280358314514, 0.9425352215766907, 0.9427316784858704, 0.9403135180473328, 0.9404935240745544, 0.940666139125824, 0.9408329129219055, 0.9409915804862976, 0.9411409497261047, 0.9412801861763, 0.9414772391319275, 0.9415975213050842, 0.9415459036827087, 0.9416505694389343, 0.9417012333869934, 0.9417799115180969, 0.9418476223945618, 0.9419036507606506, 0.9419466853141785, 0.9417739510536194, 0.941795289516449, 0.9419835209846497, 0.941976010799408, 0.9419590830802917, 0.9397333264350891, 0.9396949410438538, 0.940162718296051, 0.9400960803031921, 0.9400151371955872, 0.9399178624153137, 0.9399423003196716, 0.9398123621940613, 0.9396664500236511, 0.939418613910675, 0.9392417073249817, 0.9390502572059631, 0.9388434290885925, 0.9386215806007385, 0.9383826851844788, 0.938132107257843, 0.9378638863563538, 0.9364054799079895, 0.9361122250556946, 0.9360542893409729, 0.9357334971427917, 0.9353987574577332, 0.9350478053092957, 0.934681236743927, 0.9343007206916809, 0.9351012110710144, 0.934681236743927, 0.9342512488365173, 0.9338042140007019, 0.9333428740501404, 0.932867705821991, 0.9323766827583313, 0.9318680167198181, 0.9313502907752991, 0.9308157563209534, 0.9304199814796448, 0.9298613667488098, 0.9292916655540466, 0.9287081360816956, 0.9280984997749329, 0.9279323220252991, 0.9273003935813904, 0.9266611933708191, 0.9264385104179382, 0.9261294007301331, 0.9254510998725891, 0.9247656464576721, 0.9240718483924866, 0.9235530495643616, 0.9228410124778748, 0.9221801161766052, 0.9214563965797424, 0.9207260012626648, 0.9199885725975037, 0.9192492365837097, 0.9185013175010681, 0.9177513718605042, 0.9169968962669373, 0.9162130951881409, 0.9154507517814636, 0.9147867560386658, 0.9140185713768005, 0.913246214389801, 0.9124841094017029, 0.9117103219032288, 0.9107667803764343, 0.9099928736686707, 0.9092118144035339, 0.9084300398826599, 0.9076476693153381, 0.906862199306488, 0.9060800671577454, 0.9052926898002625, 0.9045091271400452, 0.9037250876426697, 0.9029420018196106, 0.9021599888801575, 0.9013805985450745, 0.9006006121635437, 0.8998212218284607, 0.8991472125053406, 0.8983736634254456, 0.8975982069969177, 0.8968275189399719, 0.8960618376731873, 0.895455539226532, 0.8946935534477234, 0.8939359784126282, 0.8931822180747986, 0.8925737738609314, 0.8917960524559021, 0.8910611271858215, 0.8903283476829529, 0.8895354866981506, 0.8888171315193176, 0.8881054520606995, 0.8874019980430603, 0.8867070078849792, 0.8860192894935608, 0.8853405117988586, 0.8845096230506897, 0.8838477730751038, 0.8831949830055237, 0.8825533986091614, 0.8819190859794617, 0.8812937140464783, 0.8806800246238708, 0.8800758719444275, 0.87948077917099, 0.8788979649543762], forces=[(0.003931115847080946, -0.009198496118187904, 0.0621698759496212), (-0.003345515811815858, -0.003641522489488125, 0.10864893347024918), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0029455649200826883, -0.014373990707099438, 0.04920075461268425), (-0.017139924690127373, 9.882455924525857e-05, 0.0866708755493164), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003127140924334526, -0.0020593025255948305, 0.0436285100877285), (0.014070631004869938, -0.011646091938018799, 0.11532837152481079), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0011281101033091545, -0.005813433788716793, 0.04672777280211449), (0.007379470393061638, -0.017831595614552498, 0.10655421763658524), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006564640440046787, -0.010858898982405663, 0.04245200380682945), (0.005075638182461262, -0.018503841012716293, 0.0843629315495491), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004170987289398909, -0.0023016934283077717, 0.035876862704753876), (0.011570587754249573, -0.020119590684771538, 0.11348990350961685), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0112077035009861, 0.0002920555416494608, 0.05037769675254822), (0.0015909315552562475, 0.038973938673734665, 0.08284769207239151), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011534415185451508, -0.008757715113461018, 0.044737495481967926), (-0.041753508150577545, 0.16621701419353485, -0.008851459249854088), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01279671024531126, 0.004393128678202629, 0.03172949329018593), (0.012089102528989315, -0.015107637271285057, 0.07926364988088608), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00067906454205513, 0.08645141869783401, 0.06413798779249191), (-0.024661608040332794, 0.02491810917854309, 0.115485779941082)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=43, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8245420455932617, 0.02402261458337307, 16.952022552490234), (1.308730959892273, 1.4303412437438965, 19.006824493408203), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.820774793624878, 2.8099050521850586, 16.95807456970215), (1.393014669418335, 4.305019855499268, 18.82930564880371), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.823729991912842, 5.655123233795166, 16.901309967041016), (1.414565086364746, 7.051177978515625, 18.857513427734375), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.633094787597656, 0.034084755927324295, 16.95423126220703), (4.330618858337402, 1.3856090307235718, 18.984477996826172), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.63809061050415, 2.8211324214935303, 16.92179298400879), (4.261325359344482, 4.278201103210449, 18.8194522857666), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.655550003051758, 5.664709091186523, 16.890710830688477), (4.238691329956055, 7.0372185707092285, 18.85175895690918), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.497279167175293, 0.05041327327489853, 16.976835250854492), (7.050758361816406, 1.437381386756897, 18.884824752807617), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.470648765563965, 2.831508159637451, 16.926483154296875), (7.050995349884033, 4.257838249206543, 18.846193313598633), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.457287788391113, 5.670785903930664, 16.896982192993164), (7.052210330963135, 7.050671100616455, 18.85700798034668), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (2.771563768386841, 1.7414133548736572, 20.49683380126953), (2.8671324253082275, 2.72867488861084, 20.536134719848633)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4988202452659607, energy_trajectory=[1.7227768898010254, 1.710423231124878, 1.698789358139038, 1.68751859664917, 1.6770076751708984, 1.6670758724212646, 1.6575117111206055, 1.6485605239868164, 1.640279769897461, 1.632150650024414, 1.6246588230133057, 1.6168038845062256, 1.6094322204589844, 1.602344036102295, 1.594832181930542, 1.5880019664764404, 1.581178903579712, 1.574563980102539, 1.568103551864624, 1.5617477893829346, 1.555481195449829, 1.54945707321167, 1.5433554649353027, 1.537318468093872, 1.5313451290130615, 1.5254933834075928, 1.5196313858032227, 1.5139176845550537, 1.5081489086151123, 1.5024311542510986, 1.496746301651001, 1.4911742210388184, 1.4855656623840332, 1.4799928665161133, 1.4746642112731934, 1.4692721366882324, 1.4637973308563232, 1.4583756923675537, 1.4529621601104736, 1.4474127292633057, 1.441884994506836, 1.4365615844726562, 1.431269645690918, 1.4258909225463867, 1.4206533432006836, 1.4154455661773682, 1.4103319644927979, 1.4041767120361328, 1.3990662097930908, 1.393986701965332, 1.3890349864959717, 1.3840062618255615, 1.37900710105896, 1.3740389347076416, 1.369093894958496, 1.3641786575317383, 1.3592870235443115, 1.3543806076049805, 1.3495373725891113, 1.344714641571045, 1.3399105072021484, 1.3351235389709473, 1.3303511142730713, 1.3255925178527832, 1.3208527565002441, 1.3160505294799805, 1.3113489151000977, 1.3066730499267578, 1.3020234107971191, 1.2974035739898682, 1.2928102016448975, 1.2882425785064697, 1.2836947441101074, 1.2791602611541748, 1.274634599685669, 1.270115852355957, 1.2655980587005615, 1.2610816955566406, 1.2565670013427734, 1.2519686222076416, 1.247459888458252, 1.2428677082061768, 1.2383191585540771, 1.2338283061981201, 1.2293479442596436, 1.224877119064331, 1.2204203605651855, 1.2159764766693115, 1.2115452289581299, 1.2071290016174316, 1.2027273178100586, 1.1983411312103271, 1.1939713954925537, 1.1896178722381592, 1.1852800846099854, 1.1809601783752441, 1.1766834259033203, 1.172393560409546, 1.1681175231933594, 1.1638593673706055, 1.159616231918335, 1.1553869247436523, 1.1511659622192383, 1.1469507217407227, 1.1427440643310547, 1.1385459899902344, 1.134509563446045, 1.130340576171875, 1.1261837482452393, 1.1220366954803467, 1.1179003715515137, 1.113774299621582, 1.1096606254577637, 1.1055383682250977, 1.101447582244873, 1.0973660945892334, 1.0932960510253906, 1.0892386436462402, 1.0851905345916748, 1.0811550617218018, 1.0771291255950928, 1.0731148719787598, 1.0691111087799072, 1.0651159286499023, 1.0611310005187988, 1.0571544170379639, 1.0531868934631348, 1.049226999282837, 1.0452744960784912, 1.041327714920044, 1.0373892784118652, 1.0334548950195312, 1.0295283794403076, 1.0256047248840332, 1.0216858386993408, 1.0177721977233887, 1.0138614177703857, 1.0103135108947754, 1.0066065788269043, 1.0027039051055908, 0.998492419719696, 0.9945071339607239, 0.9906182885169983, 0.9867330193519592, 0.9828513264656067, 0.9789714217185974, 0.9750967621803284, 0.9712244868278503, 0.967354953289032, 0.9634889960289001, 0.9596266150474548, 0.9557684063911438, 0.951913058757782, 0.9480627179145813, 0.9442152380943298, 0.9402427077293396, 0.9364034533500671, 0.9325693249702454, 0.9289945960044861, 0.9251708388328552, 0.9213514924049377, 0.917536199092865, 0.9137265086174011, 0.9099188446998596, 0.9061194062232971, 0.9023264050483704, 0.8985390067100525, 0.894734799861908, 0.890958845615387, 0.8871898055076599, 0.8834276795387268, 0.8796712756156921, 0.8759223818778992, 0.8721804022789001, 0.8684472441673279, 0.8647206425666809, 0.8610020279884338, 0.8572126030921936, 0.8535158038139343, 0.8498207926750183, 0.8461489081382751, 0.8426595330238342, 0.8389880061149597, 0.8352881073951721, 0.8316336274147034, 0.8279852271080017, 0.8243462443351746, 0.8207142949104309, 0.8170908093452454, 0.8134757876396179, 0.8098682761192322, 0.8061484694480896, 0.8025564551353455, 0.7989729046821594, 0.7953994870185852, 0.7918329834938049, 0.7882760167121887, 0.7847281098365784, 0.7811889052391052, 0.7776568531990051, 0.7741345763206482, 0.7706212401390076, 0.7671173214912415, 0.7636216282844543, 0.7601498961448669, 0.756673276424408, 0.7532070279121399, 0.7497509121894836, 0.746303379535675, 0.7428659796714783, 0.7394378781318665, 0.7360201478004456, 0.7326129078865051, 0.7292152047157288, 0.7258285880088806, 0.7224524617195129, 0.7190876603126526, 0.7157334685325623, 0.7123913168907166, 0.7090602517127991, 0.7057411074638367, 0.702482283115387, 0.699187695980072, 0.6959049105644226, 0.6926332116127014, 0.6893752217292786, 0.6860513091087341, 0.682817280292511, 0.6795958876609802, 0.676387369632721, 0.673234760761261, 0.670051634311676, 0.6668819785118103, 0.6637254357337952, 0.6605814099311829, 0.6572018265724182, 0.6540443301200867, 0.650942862033844, 0.6478539109230042, 0.6446577906608582, 0.6415948271751404, 0.6386592984199524, 0.6356260180473328, 0.6326081156730652, 0.629606306552887, 0.6266197562217712, 0.623651921749115, 0.6207016110420227, 0.6177929043769836, 0.6148805022239685, 0.6119865775108337, 0.6091150641441345, 0.606264054775238, 0.6034355759620667, 0.6006312966346741, 0.5978497862815857, 0.5950910449028015, 0.5923588871955872, 0.5896523594856262, 0.5869713425636292, 0.5834929347038269, 0.580837070941925, 0.5782085061073303, 0.5756096243858337, 0.573038637638092, 0.5709009766578674, 0.5683854222297668, 0.565896213054657, 0.5630272030830383, 0.5605934262275696, 0.558186948299408, 0.5559609532356262, 0.5536025166511536, 0.5512706637382507, 0.5489634871482849, 0.5466817021369934, 0.5444250702857971, 0.5421925187110901, 0.5399698615074158, 0.53778475522995, 0.5352066159248352, 0.533069908618927, 0.5309579968452454, 0.528869092464447, 0.5267953276634216, 0.5247543454170227, 0.5227370858192444, 0.520743191242218, 0.5187734961509705, 0.5168283581733704, 0.5149077773094177, 0.5130131840705872, 0.5111445784568787, 0.5093010067939758, 0.5074847340583801, 0.5056951642036438, 0.5039336085319519, 0.5022000670433044, 0.5004948973655701, 0.4988202452659607], forces=[(-0.008030302822589874, 0.016813084483146667, 0.016375435516238213), (-0.0612817108631134, -0.01616952382028103, -0.025951573625206947), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006716716568917036, -0.018927190452814102, 0.0025628136936575174), (0.023741066455841064, -0.09322081506252289, 0.022958174347877502), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0038433994632214308, -0.0017078375676646829, -0.0039008164312690496), (-0.011268760077655315, 0.011174064129590988, 0.015766816213726997), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014732442796230316, 0.008841552771627903, 0.0008237386937253177), (-0.05600690469145775, 0.03972453251481056, 0.08477349579334259), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011157038621604443, -0.0014976668171584606, 0.008562705479562283), (-0.05324613302946091, -0.04137125238776207, 0.06033935770392418), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015167338773608208, -0.007237549405544996, 3.814077717834152e-05), (0.0026530625764280558, 0.010385612025856972, 0.02031755819916725), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.06358858942985535, -0.048451829701662064, -0.08994345366954803), (0.0005899714305996895, 0.004629505332559347, 0.03502104803919792), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0033629275858402252, -0.008275902830064297, 0.002445054240524769), (0.011106555350124836, 0.01934482343494892, 0.017587484791874886), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005966137629002333, 0.0018561879405751824, -0.023810923099517822), (0.006643551401793957, 0.00849774107336998, 0.020407479256391525), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.31526538729667664, -0.11987975239753723, -0.32027092576026917), (-0.1434934288263321, -0.18254351615905762, 0.13407398760318756)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=44, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.798328399658203, 0.005077848210930824, 16.95233154296875), (1.4066680669784546, 1.5570968389511108, 18.967729568481445), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.811760902404785, 2.8166756629943848, 16.92404556274414), (1.417628526687622, 4.231316566467285, 18.866966247558594), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8142426013946533, 5.651313781738281, 16.919885635375977), (1.4130444526672363, 6.8993330001831055, 18.94883918762207), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.643484592437744, 0.0050915624015033245, 16.89794158935547), (4.2540130615234375, 1.4266760349273682, 18.829788208007812), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.645139694213867, 2.8319599628448486, 16.885648727416992), (4.259176731109619, 4.238283634185791, 18.835529327392578), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.646800518035889, 5.639957904815674, 16.884122848510742), (4.257856369018555, 7.04849910736084, 18.82801628112793), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.48853588104248, 0.0058706472627818584, 16.953054428100586), (7.028761863708496, 1.4362831115722656, 18.824207305908203), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.479819297790527, 2.819972515106201, 16.922950744628906), (7.04435396194458, 4.242825031280518, 18.83878517150879), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.479448318481445, 5.6524658203125, 16.921188354492188), (7.027703762054443, 7.048378944396973, 18.82253646850586), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.3743289709091187, -0.032760053873062134, 20.384658813476562), (2.3005032539367676, -0.03109070472419262, 20.708471298217773)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4297632575035095, energy_trajectory=[1.2087907791137695, 1.1965408325195312, 1.186697006225586, 1.1761586666107178, 1.1659743785858154, 1.1561713218688965, 1.146665334701538, 1.1377530097961426, 1.128894567489624, 1.1203117370605469, 1.111959457397461, 1.1037182807922363, 1.0957684516906738, 1.0879409313201904, 1.0801067352294922, 1.0725703239440918, 1.0651004314422607, 1.0578031539916992, 1.0505907535552979, 1.0435912609100342, 1.036921501159668, 1.0300571918487549, 1.0232563018798828, 1.0166890621185303, 1.0101983547210693, 1.0036985874176025, 0.9973904490470886, 0.9911667704582214, 0.9850271344184875, 0.9783325791358948, 0.9721985459327698, 0.9662761092185974, 0.96055668592453, 0.9547681212425232, 0.9490446448326111, 0.9433900713920593, 0.937797486782074, 0.9322571158409119, 0.9267711043357849, 0.9213419556617737, 0.9159604907035828, 0.9106233716011047, 0.905331552028656, 0.900087296962738, 0.8948468565940857, 0.8896834254264832, 0.8845630288124084, 0.8794813752174377, 0.8749019503593445, 0.8698986172676086, 0.8649013638496399, 0.8599682450294495, 0.8550706505775452, 0.8502023816108704, 0.8453275561332703, 0.8402833342552185, 0.8353827595710754, 0.8306438326835632, 0.8259283900260925, 0.8210867047309875, 0.8164255023002625, 0.8117911219596863, 0.8070711493492126, 0.8024900555610657, 0.797904908657074, 0.7933700680732727, 0.7889006733894348, 0.7844184041023254, 0.7799616456031799, 0.775528609752655, 0.7711204886436462, 0.7667356133460999, 0.7623752951622009, 0.7583022713661194, 0.7539986968040466, 0.7497181296348572, 0.7454575896263123, 0.7412323355674744, 0.7370163798332214, 0.7328248620033264, 0.7288081049919128, 0.7246598601341248, 0.720537006855011, 0.7164382338523865, 0.7114802002906799, 0.7074148058891296, 0.7033743262290955, 0.6993564963340759, 0.6953020691871643, 0.6913318037986755, 0.687384307384491, 0.683458149433136, 0.679555356502533, 0.6756770014762878, 0.6718205809593201, 0.6678134799003601, 0.6640039086341858, 0.6602185368537903, 0.6564565300941467, 0.6527205109596252, 0.6490078568458557, 0.645393431186676, 0.6417321562767029, 0.6380966305732727, 0.6344875693321228, 0.6309069991111755, 0.6273537278175354, 0.6238568425178528, 0.6203623414039612, 0.6168964505195618, 0.6134627461433411, 0.6097341179847717, 0.606361448764801, 0.6030222773551941, 0.5997151732444763, 0.596648633480072, 0.5934088826179504, 0.5902048945426941, 0.5870351195335388, 0.5838566422462463, 0.5807560086250305, 0.5776906609535217, 0.5745540261268616, 0.5717248320579529, 0.5687548518180847, 0.5658188462257385, 0.5629162192344666, 0.5601817965507507, 0.5573468804359436, 0.554543673992157, 0.5517906546592712, 0.5490475296974182, 0.5462782979011536, 0.5435989499092102, 0.5416441559791565, 0.5390225052833557, 0.5365980267524719, 0.5340827107429504, 0.5315459370613098, 0.5290387272834778, 0.5265582203865051, 0.5241090655326843, 0.5216860175132751, 0.5192909836769104, 0.5169236063957214, 0.5145848393440247, 0.5122746825218201, 0.5099912285804749, 0.5077372193336487, 0.5055106282234192, 0.5033139586448669, 0.5011904835700989, 0.49904865026474, 0.49693506956100464, 0.4948660731315613, 0.49281221628189087, 0.490788996219635, 0.48879414796829224, 0.4867951273918152, 0.4848625063896179, 0.4829586148262024, 0.48108476400375366, 0.4792432188987732, 0.4774302840232849, 0.4756473898887634, 0.4738951325416565, 0.4721749424934387, 0.47031670808792114, 0.4686567187309265, 0.4670022130012512, 0.4654015898704529, 0.46361786127090454, 0.46207839250564575, 0.4605700373649597, 0.4590917229652405, 0.4576461911201477, 0.4562304615974426, 0.4545784592628479, 0.4532255530357361, 0.45217448472976685, 0.4508814215660095, 0.44986897706985474, 0.44863420724868774, 0.44742876291275024, 0.4462549090385437, 0.4451064467430115, 0.44398635625839233, 0.4425610899925232, 0.44149500131607056, 0.44045382738113403, 0.4393276572227478, 0.4382597804069519, 0.43729203939437866, 0.4363476634025574, 0.4354255795478821, 0.4345260262489319, 0.4336465001106262, 0.4327877163887024, 0.43194693326950073, 0.43107837438583374, 0.430275022983551, 0.4294878840446472, 0.428716242313385, 0.42796069383621216, 0.4272180199623108, 0.42648905515670776, 0.4257757067680359, 0.4250723719596863, 0.42421621084213257, 0.4237448573112488, 0.42307883501052856, 0.4224258065223694, 0.42178648710250854, 0.4211485981941223, 0.42053645849227905, 0.419938862323761, 0.4193597435951233, 0.4187970757484436, 0.4182516932487488, 0.4177277684211731, 0.4172249436378479, 0.41674166917800903, 0.4162805676460266, 0.4158422350883484, 0.41542714834213257, 0.4149659276008606, 0.41460078954696655, 0.41425949335098267, 0.4139428734779358, 0.41364556550979614, 0.4133748412132263, 0.41328030824661255, 0.41305381059646606, 0.41285282373428345, 0.41267114877700806, 0.4125126004219055, 0.41237717866897583, 0.41221147775650024, 0.4121193289756775, 0.4120483994483948, 0.41199713945388794, 0.41196805238723755, 0.4119585156440735, 0.41196805238723755, 0.4120017886161804, 0.4118412137031555, 0.4119073748588562, 0.4119953513145447, 0.4121348261833191, 0.4122564196586609, 0.41239744424819946, 0.4125552773475647, 0.41272813081741333, 0.4129180312156677, 0.41312652826309204, 0.41324037313461304, 0.41347628831863403, 0.4137248396873474, 0.4139893651008606, 0.41426795721054077, 0.41481536626815796, 0.4150802493095398, 0.4153900742530823, 0.4156818985939026, 0.41601067781448364, 0.41634994745254517, 0.41669613122940063, 0.41705745458602905, 0.4174214005470276, 0.4177963137626648, 0.41817957162857056, 0.4185677170753479, 0.4189295172691345, 0.41928213834762573, 0.4196900725364685, 0.42009955644607544, 0.420521080493927, 0.42094582319259644, 0.4207950234413147, 0.42122000455856323, 0.4216468930244446, 0.4220770001411438, 0.42244213819503784, 0.42287689447402954, 0.42357736825942993, 0.4240158200263977, 0.4244542717933655, 0.424896776676178, 0.4253355860710144, 0.4257757067680359, 0.4262149930000305, 0.42665189504623413, 0.4270891547203064, 0.4275241494178772, 0.42767590284347534, 0.4281044602394104, 0.4285154938697815, 0.42893368005752563, 0.4293505549430847, 0.4297632575035095], forces=[(0.005964266136288643, -0.010647126473486423, -0.007333414629101753), (-0.007442608010023832, -0.07713070511817932, -0.022641751915216446), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002386057749390602, -0.007491843309253454, 0.011863206513226032), (-0.019457824528217316, -0.01992354355752468, 0.01761503517627716), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007547423243522644, -0.014936747960746288, 0.01278617326170206), (-0.022558240219950676, 0.052302151918411255, -0.017978820949792862), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011878087185323238, -0.005066948477178812, 0.027017991989850998), (-0.020620528608560562, -0.013497051782906055, 0.0482594333589077), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01300477422773838, -0.007012288551777601, 0.030145520344376564), (-0.023804137483239174, -0.008798865601420403, 0.046631377190351486), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014716166071593761, -0.0036976074334234, 0.029951345175504684), (-0.028292858973145485, -0.004624161869287491, 0.044399410486221313), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02520112693309784, -0.011294052936136723, -0.009746916592121124), (-0.006616685539484024, -0.013512923382222652, 0.04119044914841652), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014119217172265053, -0.012968395836651325, 0.009646858088672161), (-0.004270090721547604, -0.011186907067894936, 0.03921175375580788), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016961684450507164, -0.01791658066213131, 0.0024563635233789682), (-0.006888014730066061, -0.011481997556984425, 0.036276742815971375), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.08791975677013397, 0.11618372052907944, 0.11089890450239182), (0.06342332065105438, 0.006532817147672176, 0.17956815659999847)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=45, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8099446296691895, -0.025218486785888672, 16.950590133666992), (1.4012223482131958, 1.4197888374328613, 18.86316680908203), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8176794052124023, 2.8072264194488525, 16.901506423950195), (1.3643641471862793, 4.153529644012451, 18.824758529663086), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.7991724014282227, 5.65469217300415, 16.968311309814453), (1.2215420007705688, 7.128810405731201, 18.971397399902344), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.614036560058594, -0.03120754472911358, 16.946414947509766), (4.224099636077881, 1.4118958711624146, 18.859086990356445), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.643436431884766, 2.801426410675049, 16.892375946044922), (4.24676513671875, 4.178876876831055, 18.82235336303711), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.619132041931152, 5.641615390777588, 16.923105239868164), (4.269452095031738, 7.058503150939941, 18.98693084716797), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.468231201171875, -0.03703116998076439, 16.956144332885742), (7.034184455871582, 1.415676236152649, 18.85528564453125), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.449972152709961, 2.797299385070801, 16.892436981201172), (7.035042762756348, 4.20673942565918, 18.848440170288086), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.452091217041016, 5.635915279388428, 16.92637062072754), (6.994405746459961, 7.030480861663818, 18.885601043701172), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (2.544123649597168, 6.503114223480225, 20.44422149658203), (2.3411595821380615, 6.979096412658691, 21.278202056884766)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.7086208462715149, energy_trajectory=[1.473881483078003, 1.4594063758850098, 1.4481580257415771, 1.437185287475586, 1.4266102313995361, 1.4157073497772217, 1.405242681503296, 1.3953351974487305, 1.3857612609863281, 1.3766262531280518, 1.367903709411621, 1.3590993881225586, 1.350766897201538, 1.3424665927886963, 1.3344175815582275, 1.3264310359954834, 1.318009376525879, 1.310290813446045, 1.302659511566162, 1.295189380645752, 1.2877748012542725, 1.2805213928222656, 1.2734792232513428, 1.266554832458496, 1.2598328590393066, 1.253141164779663, 1.2465906143188477, 1.2400588989257812, 1.233734369277954, 1.227494239807129, 1.2213640213012695, 1.2149524688720703, 1.209031105041504, 1.2032206058502197, 1.1975150108337402, 1.1919136047363281, 1.186413288116455, 1.181016445159912, 1.1757187843322754, 1.1705455780029297, 1.1652953624725342, 1.160215139389038, 1.1553053855895996, 1.1504883766174316, 1.1457571983337402, 1.1411099433898926, 1.1365470886230469, 1.1320252418518066, 1.1276254653930664, 1.1236000061035156, 1.1193480491638184, 1.115236520767212, 1.1111299991607666, 1.107107400894165, 1.1031372547149658, 1.0992283821105957, 1.0953834056854248, 1.0916922092437744, 1.0879673957824707, 1.0842986106872559, 1.0806841850280762, 1.0771245956420898, 1.0736169815063477, 1.0701594352722168, 1.0667524337768555, 1.0633935928344727, 1.0601685047149658, 1.056910514831543, 1.053694725036621, 1.0505218505859375, 1.047391414642334, 1.0443217754364014, 1.041276216506958, 1.0382673740386963, 1.0354523658752441, 1.0325264930725098, 1.029637336730957, 1.0267832279205322, 1.0239653587341309, 1.0211808681488037, 1.0184307098388672, 1.0157134532928467, 1.0130283832550049, 1.0103766918182373, 1.007756233215332, 1.00516676902771, 1.0026087760925293, 1.0000815391540527, 0.9975834488868713, 0.9951156973838806, 0.9926757216453552, 0.9902648329734802, 0.987882673740387, 0.9855553507804871, 0.9832302927970886, 0.9809311032295227, 0.9786582589149475, 0.9764135479927063, 0.9741948246955872, 0.9720019698143005, 0.9699704051017761, 0.9678289294242859, 0.96571284532547, 0.9635325074195862, 0.9614648222923279, 0.9594226479530334, 0.9574045538902283, 0.9554097056388855, 0.9534391760826111, 0.9514661431312561, 0.949539840221405, 0.9476352334022522, 0.9457548260688782, 0.9438686966896057, 0.9422147870063782, 0.9403980374336243, 0.939540445804596, 0.9377743601799011, 0.9361537098884583, 0.9344283938407898, 0.9327211976051331, 0.9310316443443298, 0.9293609261512756, 0.9278326630592346, 0.9261965155601501, 0.9245766997337341, 0.9229733347892761, 0.9213857054710388, 0.9199585318565369, 0.9184190630912781, 0.9168766140937805, 0.9153496623039246, 0.9138358235359192, 0.9123366475105286, 0.9108518958091736, 0.9092982411384583, 0.9078419804573059, 0.9064001441001892, 0.9049718976020813, 0.903556764125824, 0.9019959568977356, 0.9006044268608093, 0.8992263674736023, 0.8978607058525085, 0.8965074419975281, 0.8951660990715027, 0.8938375115394592, 0.8925204873085022, 0.8913336396217346, 0.8900384306907654, 0.8887571692466736, 0.8874862790107727, 0.8862276673316956, 0.8849789500236511, 0.8837395310401917, 0.8825119137763977, 0.8812941908836365, 0.8800857663154602, 0.8788874745368958, 0.8776980042457581, 0.8765175938606262, 0.875345766544342, 0.8741834759712219, 0.8729512095451355, 0.8716868758201599, 0.870547354221344, 0.8694154620170593, 0.8682908415794373, 0.8671737313270569, 0.8660637736320496, 0.8649585843086243, 0.8638601899147034, 0.8627654910087585, 0.8616769909858704, 0.860592782497406, 0.8595137000083923, 0.8584379553794861, 0.8573655486106873, 0.8562955260276794, 0.8552283644676208, 0.8541632294654846, 0.853098452091217, 0.852034866809845, 0.8509705662727356, 0.849906861782074, 0.848842442035675, 0.8477776646614075, 0.8467113375663757, 0.8456422686576843, 0.8445727229118347, 0.8434998393058777, 0.8424248099327087, 0.841188371181488, 0.8401075005531311, 0.8390232920646667, 0.8379356265068054, 0.8368434309959412, 0.8357478976249695, 0.8346490263938904, 0.8335471749305725, 0.8324405550956726, 0.831342875957489, 0.8302283883094788, 0.8291115164756775, 0.8279914259910583, 0.8268670439720154, 0.825740396976471, 0.8246099352836609, 0.8234763741493225, 0.8223392367362976, 0.8211991190910339, 0.8200566172599792, 0.8189099431037903, 0.8177598118782043, 0.8166059851646423, 0.8155469298362732, 0.8143840432167053, 0.8131670355796814, 0.8120970129966736, 0.8109233975410461, 0.8097451329231262, 0.8085630536079407, 0.807375967502594, 0.8061831593513489, 0.8049854636192322, 0.8037829995155334, 0.8025752902030945, 0.8013620972633362, 0.8001429438591003, 0.7989183068275452, 0.7976874709129333, 0.7964504361152649, 0.795208752155304, 0.7939593195915222, 0.7927042841911316, 0.7914419770240784, 0.7901740670204163, 0.7888991236686707, 0.787327229976654, 0.7860406041145325, 0.7847471833229065, 0.783445417881012, 0.7821369767189026, 0.7808725237846375, 0.7795462012290955, 0.7782127261161804, 0.7768695950508118, 0.775868833065033, 0.7745099663734436, 0.7731450200080872, 0.7717815041542053, 0.770420253276825, 0.7690597176551819, 0.7677012085914612, 0.7663447260856628, 0.7649901509284973, 0.763637363910675, 0.7625979781150818, 0.761249840259552, 0.7599043250083923, 0.7585620284080505, 0.7573711276054382, 0.756034791469574, 0.7547006011009216, 0.7533687949180603, 0.7520409226417542, 0.7507162690162659, 0.7493962645530701, 0.7480785250663757, 0.7467643618583679, 0.7454535365104675, 0.7441462874412537, 0.7428417801856995, 0.7416816353797913, 0.7403878569602966, 0.7390955090522766, 0.7378057837486267, 0.7365177273750305, 0.7352314591407776, 0.7339462637901306, 0.7326628565788269, 0.7313807606697083, 0.7300909161567688, 0.7288104891777039, 0.7275875210762024, 0.7262347340583801, 0.7249565720558167, 0.7236769795417786, 0.7223995327949524, 0.7211217284202576, 0.719845712184906, 0.7185694575309753, 0.7174730896949768, 0.7162560820579529, 0.7149812579154968, 0.7137061953544617, 0.7124319672584534, 0.7111601233482361, 0.7098900675773621, 0.7086208462715149], forces=[(-0.008622303605079651, -0.00014437166100833565, 0.00969415158033371), (-0.013099619187414646, 0.0001367271033814177, 0.0017528508324176073), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004319373983889818, 0.001502343686297536, 0.006007491145282984), (0.0006344022112898529, 0.0258868969976902, 0.0019453634740784764), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002019033767282963, 0.004426655359566212, -0.004723858553916216), (0.013737693428993225, -0.0413580983877182, -0.011492123827338219), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01949734427034855, -0.007399044930934906, 0.02158677950501442), (-0.01238510012626648, 0.0033185742795467377, 0.012479603290557861), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006395895034074783, -0.00018399779219180346, 0.008071504533290863), (-0.01604163460433483, 0.006810259073972702, 0.019242973998188972), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013194870203733444, 0.0019335555844008923, 0.016383850947022438), (-0.008181183598935604, 0.014349271543323994, 0.061235520988702774), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02216634899377823, 0.005632482934743166, -0.0035898739006370306), (-0.0028908662497997284, -0.002612033160403371, 0.01009991392493248), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004889382515102625, 0.004697514232248068, 0.003273227484896779), (-0.0032494680490344763, -0.003466033609583974, 0.009465433657169342), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011035889387130737, 0.0034591183066368103, 0.0017029863083735108), (-0.0068848617374897, -0.004530503414571285, 0.015053928829729557), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.09302180260419846, 0.059202179312705994, -0.035370830446481705), (0.26279643177986145, 0.23098304867744446, -0.10994557291269302)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=46, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8108534812927246, 0.008921203203499317, 16.932836532592773), (1.5386238098144531, 1.4339174032211304, 18.994112014770508), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8128662109375, 2.7978076934814453, 16.934711456298828), (1.421667456626892, 4.246291160583496, 18.8424015045166), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8278706073760986, 5.633615016937256, 16.89153289794922), (1.424854040145874, 7.019045829772949, 18.83042335510254), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.653179168701172, 0.006997822783887386, 16.930574417114258), (4.23300838470459, 1.3904262781143188, 18.877185821533203), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.653908729553223, 2.7972593307495117, 16.93406105041504), (4.235154151916504, 4.235988140106201, 18.84663200378418), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6367950439453125, 5.632558345794678, 16.891498565673828), (4.231445789337158, 7.024651527404785, 18.844770431518555), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.465583801269531, 0.021287797018885612, 16.963865280151367), (6.925229549407959, 1.4258029460906982, 18.986438751220703), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.465655326843262, 2.795024871826172, 16.951276779174805), (7.0483222007751465, 4.244686603546143, 18.842172622680664), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.464422225952148, 5.6367011070251465, 16.902889251708984), (7.038278102874756, 7.0171918869018555, 18.829994201660156), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (8.45515251159668, 1.331357717514038, 20.45973777770996), (8.442831993103027, 2.198087215423584, 20.91971778869629)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4127129912376404, energy_trajectory=[1.0029242038726807, 0.9858656525611877, 0.9729798436164856, 0.960171639919281, 0.9473525881767273, 0.9344251751899719, 0.9226511120796204, 0.9114864468574524, 0.9010959267616272, 0.8910126090049744, 0.8814093470573425, 0.8721926808357239, 0.8632099032402039, 0.8544483780860901, 0.8461092114448547, 0.8378626704216003, 0.8296143412590027, 0.8218942284584045, 0.8143495917320251, 0.8069440722465515, 0.7996892333030701, 0.7926663756370544, 0.785679280757904, 0.7788053154945374, 0.7720463871955872, 0.7653455138206482, 0.7587936520576477, 0.7523427605628967, 0.7459858059883118, 0.7397859692573547, 0.7336146235466003, 0.7275292277336121, 0.721519410610199, 0.7156047224998474, 0.7097702622413635, 0.7040155529975891, 0.6983526349067688, 0.6926698088645935, 0.6870750784873962, 0.6814519762992859, 0.6760838627815247, 0.670787513256073, 0.6656313538551331, 0.6604825854301453, 0.6554372906684875, 0.6504287123680115, 0.6454885601997375, 0.6406330466270447, 0.6359924674034119, 0.6312946677207947, 0.6267772316932678, 0.6222350001335144, 0.6182560324668884, 0.6138667464256287, 0.6098853945732117, 0.6056758761405945, 0.6017029881477356, 0.5975787043571472, 0.5936036705970764, 0.5898602604866028, 0.5860814452171326, 0.5824121832847595, 0.5788488984107971, 0.5753907561302185, 0.5720327496528625, 0.5688202977180481, 0.5656619668006897, 0.5624937415122986, 0.5595201849937439, 0.5566374659538269, 0.5539061427116394, 0.5511950850486755, 0.5485668778419495, 0.5459704995155334, 0.5432941317558289, 0.5409035086631775, 0.5385867953300476, 0.5363423228263855, 0.5339938998222351, 0.5318865180015564, 0.5298461318016052, 0.5278692841529846, 0.5259390473365784, 0.5240835547447205, 0.5223727822303772, 0.520666778087616, 0.5189786553382874, 0.5173446536064148, 0.515760600566864, 0.5142243504524231, 0.5127361416816711, 0.5111436247825623, 0.509745180606842, 0.5083897709846497, 0.5070745348930359, 0.5057980418205261, 0.5045594573020935, 0.5033569931983948, 0.5021901726722717, 0.5010992884635925, 0.5000165104866028, 0.4989461302757263, 0.4979035258293152, 0.4968876242637634, 0.49589651823043823, 0.4949299693107605, 0.4939855933189392, 0.49306291341781616, 0.49215930700302124, 0.491274893283844, 0.49040788412094116, 0.48955804109573364, 0.4887239336967468, 0.4879050850868225, 0.487099826335907, 0.4863080382347107, 0.48552900552749634, 0.4847612977027893, 0.48400551080703735, 0.4832605719566345, 0.48252469301223755, 0.4817996621131897, 0.48099201917648315, 0.48028355836868286, 0.4795841574668884, 0.4788939356803894, 0.47821277379989624, 0.4775387644767761, 0.47594958543777466, 0.4752888083457947, 0.4746360182762146, 0.4739916920661926, 0.47335487604141235, 0.4727255702018738, 0.4721052050590515, 0.4714924693107605, 0.47088807821273804, 0.4702908396720886, 0.4697023034095764, 0.46912187337875366, 0.46854883432388306, 0.4679839015007019, 0.46732228994369507, 0.46677130460739136, 0.46622782945632935, 0.4656915068626404, 0.46516209840774536, 0.4646398425102234, 0.4641243815422058, 0.4636158347129822, 0.4631132483482361, 0.4626172184944153, 0.4621275067329407, 0.46069127321243286, 0.4602124094963074, 0.45973819494247437, 0.45927077531814575, 0.45880693197250366, 0.45834869146347046, 0.45789462327957153, 0.4574447274208069, 0.45699864625930786, 0.456556499004364, 0.45611804723739624, 0.4556829333305359, 0.4552507996559143, 0.4548214077949524, 0.45439523458480835, 0.4539714455604553, 0.45355087518692017, 0.453132688999176, 0.4527164101600647, 0.4523029923439026, 0.45192474126815796, 0.4515147805213928, 0.4511074423789978, 0.45097142457962036, 0.4505658745765686, 0.45016294717788696, 0.4497610926628113, 0.44936174154281616, 0.44896334409713745, 0.4485660195350647, 0.44817012548446655, 0.44777530431747437, 0.4473819136619568, 0.44698888063430786, 0.44659727811813354, 0.4462072253227234, 0.44581812620162964, 0.44542986154556274, 0.44504231214523315, 0.4446564316749573, 0.44420796632766724, 0.4438210129737854, 0.4434353709220886, 0.44305068254470825, 0.44266730546951294, 0.4423215985298157, 0.44189125299453735, 0.441511332988739, 0.4411318898200989, 0.4407539963722229, 0.4403638243675232, 0.4399873614311218, 0.4396112561225891, 0.4392368197441101, 0.4388630986213684, 0.43849068880081177, 0.4381179213523865, 0.43774741888046265, 0.437377393245697, 0.4370097517967224, 0.43664318323135376, 0.4362780451774597, 0.43591421842575073, 0.4355528950691223, 0.4351932406425476, 0.434836208820343, 0.43448108434677124, 0.4341288208961487, 0.43377918004989624, 0.43343156576156616, 0.43308740854263306, 0.4327459931373596, 0.43240708112716675, 0.43207138776779175, 0.43173831701278687, 0.4312315583229065, 0.43090540170669556, 0.43058067560195923, 0.4302600026130676, 0.43012601137161255, 0.42981070280075073, 0.4294970631599426, 0.42918580770492554, 0.42887622117996216, 0.42856794595718384, 0.42826229333877563, 0.4279584288597107, 0.42765647172927856, 0.4273565411567688, 0.42705851793289185, 0.42676204442977905, 0.4264678359031677, 0.4260510802268982, 0.4257602095603943, 0.4254705309867859, 0.42518335580825806, 0.42489832639694214, 0.4246153235435486, 0.42433351278305054, 0.42405396699905396, 0.4237763285636902, 0.42349928617477417, 0.4232247471809387, 0.42295128107070923, 0.42268019914627075, 0.42241066694259644, 0.4221417307853699, 0.4219784140586853, 0.4217122197151184, 0.42144840955734253, 0.421186625957489, 0.4207809567451477, 0.42051810026168823, 0.4202592968940735, 0.4200037121772766, 0.41977304220199585, 0.4195207953453064, 0.41927021741867065, 0.41902226209640503, 0.4187038540840149, 0.41845816373825073, 0.41821473836898804, 0.4179723858833313, 0.41773277521133423, 0.4174956679344177, 0.41725867986679077, 0.4170237183570862, 0.4167911410331726, 0.4165598750114441, 0.4163309931755066, 0.41610294580459595, 0.4158775210380554, 0.4156540036201477, 0.41543275117874146, 0.41521376371383667, 0.41506677865982056, 0.414850652217865, 0.4146360754966736, 0.41442376375198364, 0.4142138361930847, 0.4140062928199768, 0.41380149126052856, 0.41359859704971313, 0.4133990406990051, 0.41320163011550903, 0.4129069447517395, 0.4127129912376404], forces=[(-0.0008770072599872947, 0.001687882817350328, 0.007267172448337078), (-0.01084210816770792, -0.008898641914129257, -0.010490601882338524), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0029816962778568268, 0.003918740898370743, 0.006561335176229477), (-0.002280701417475939, 0.001975481631234288, 0.00830837618559599), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0007088269921950996, 0.004613278899341822, 0.010424787178635597), (-0.0027558868750929832, 0.003703732741996646, 0.012747501023113728), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0025156487245112658, 0.003463560016825795, 0.008221370168030262), (-0.004739033989608288, 0.010587336495518684, 0.006900510750710964), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0031149634160101414, 0.004824826493859291, 0.005918631795793772), (-0.0020333495922386646, 0.003960187081247568, 0.010656628757715225), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0013093804009258747, 0.005473460536450148, 0.010103564709424973), (-0.001627266756258905, 0.008666548877954483, 0.01275945920497179), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0031297856476157904, -0.003301440505310893, -0.005077954847365618), (0.0009325762512162328, -0.003485999768599868, -0.006323419511318207), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0027027910109609365, 0.005820614751428366, 0.0033604635391384363), (-0.0018743094988167286, 0.004271597135812044, 0.0072679175063967705), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0007655721856281161, 0.0034496448934078217, 0.009269528090953827), (-5.277679520077072e-05, 0.005619021598249674, 0.012453257106244564), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008381928317248821, 0.01275647059082985, -0.004614765290170908), (0.022578565403819084, 0.022433070465922356, -0.04295936971902847)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=47, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8329553604125977, -0.006176662165671587, 16.927845001220703), (1.3886713981628418, 1.3822801113128662, 18.83606719970703), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.84179949760437, 2.8060519695281982, 16.952489852905273), (1.3838698863983154, 4.223970413208008, 18.836721420288086), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.830465793609619, 5.622428894042969, 16.925636291503906), (1.3894916772842407, 7.035731315612793, 18.843801498413086), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.625895023345947, -0.0058416700921952724, 16.93038558959961), (4.222147464752197, 1.2587614059448242, 18.981855392456055), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.616851329803467, 2.8061723709106445, 16.9578857421875), (4.21583366394043, 4.3598198890686035, 18.956960678100586), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.627236843109131, 5.621043682098389, 16.928226470947266), (4.230978488922119, 7.038428783416748, 18.874752044677734), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.462080955505371, -0.01672307401895523, 16.8902645111084), (7.076456546783447, 1.3758374452590942, 18.831348419189453), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.462027549743652, 2.8099374771118164, 16.90167999267578), (7.0781073570251465, 4.224332332611084, 18.829824447631836), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.460760116577148, 5.638330936431885, 16.889638900756836), (7.065760135650635, 7.032261848449707, 18.845890045166016), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.252402305603027, 2.844825267791748, 20.415254592895508), (3.3452391624450684, 2.8798110485076904, 20.7882022857666)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.41621536016464233, energy_trajectory=[0.9838742613792419, 0.9724007248878479, 0.9630820155143738, 0.9533517956733704, 0.9441270232200623, 0.9351564049720764, 0.9264428019523621, 0.9180900454521179, 0.9097577929496765, 0.9020522236824036, 0.8942796587944031, 0.8868116736412048, 0.8794276118278503, 0.8725182414054871, 0.8658353686332703, 0.8590168356895447, 0.8525030016899109, 0.8461783528327942, 0.8400110602378845, 0.8340136408805847, 0.828016459941864, 0.822415292263031, 0.8169505000114441, 0.8116210103034973, 0.8065416216850281, 0.8014524579048157, 0.7963785529136658, 0.7915708422660828, 0.7868497967720032, 0.7822632193565369, 0.7776110768318176, 0.7732238173484802, 0.7689319252967834, 0.7647480368614197, 0.7606291174888611, 0.7564553618431091, 0.7524552941322327, 0.7485596537590027, 0.7447322010993958, 0.7412782311439514, 0.7376156449317932, 0.7340863347053528, 0.7304875254631042, 0.7269420027732849, 0.7234482169151306, 0.7200016379356384, 0.716367781162262, 0.713010847568512, 0.7096930146217346, 0.7063632607460022, 0.7031176686286926, 0.6996757388114929, 0.6965487599372864, 0.6933863759040833, 0.6902675032615662, 0.6871773600578308, 0.6841123700141907, 0.6805770993232727, 0.6775618195533752, 0.6745672821998596, 0.6715958714485168, 0.6687037348747253, 0.6657722592353821, 0.6628581881523132, 0.6599625945091248, 0.6570824980735779, 0.6542180180549622, 0.6512452960014343, 0.648919403553009, 0.646479070186615, 0.643678605556488, 0.6405667662620544, 0.6377934813499451, 0.635032594203949, 0.6322856545448303, 0.6295817494392395, 0.6268631815910339, 0.6241584420204163, 0.621513307094574, 0.6188413500785828, 0.6161834597587585, 0.6135405898094177, 0.6109128594398499, 0.6083013415336609, 0.6057037711143494, 0.6031224131584167, 0.6005563139915466, 0.5980039238929749, 0.5954658389091492, 0.5929442048072815, 0.590434730052948, 0.5879397988319397, 0.5854578614234924, 0.5829911828041077, 0.5805349946022034, 0.5780921578407288, 0.5756651759147644, 0.5732488036155701, 0.5708450675010681, 0.5684548020362854, 0.5660127997398376, 0.5636454224586487, 0.5612675547599792, 0.5589300990104675, 0.5566074252128601, 0.5543015599250793, 0.5520125031471252, 0.5497408509254456, 0.5474891066551208, 0.545254647731781, 0.5430397391319275, 0.5408445000648499, 0.5386452078819275, 0.5364922881126404, 0.5343627333641052, 0.5322559475898743, 0.5302574038505554, 0.528347909450531, 0.5263441205024719, 0.5243764519691467, 0.5224432349205017, 0.5205441117286682, 0.5186765789985657, 0.5168423056602478, 0.515036404132843, 0.5132587552070618, 0.5115092396736145, 0.5097853541374207, 0.5080879330635071, 0.5062525868415833, 0.504600465297699, 0.5029688477516174, 0.5013585686683655, 0.4997689127922058, 0.4981982111930847, 0.4966452717781067, 0.49511009454727173, 0.4935930371284485, 0.4920920729637146, 0.49060648679733276, 0.4891367554664612, 0.4876815676689148, 0.4862414002418518, 0.48481661081314087, 0.483406126499176, 0.48200899362564087, 0.4806278347969055, 0.4792582392692566, 0.47790461778640747, 0.47656410932540894, 0.47523778676986694, 0.47392481565475464, 0.47286492586135864, 0.4715805649757385, 0.47030991315841675, 0.46905452013015747, 0.46781355142593384, 0.4665866494178772, 0.4653748869895935, 0.4641769528388977, 0.46299368143081665, 0.46182459592819214, 0.46029311418533325, 0.45915287733078003, 0.45802849531173706, 0.4571245312690735, 0.4560289978981018, 0.45494943857192993, 0.45381563901901245, 0.452767550945282, 0.45190054178237915, 0.45100170373916626, 0.4499991536140442, 0.44901174306869507, 0.4479601979255676, 0.44700151681900024, 0.44605666399002075, 0.4451259970664978, 0.44420939683914185, 0.44330769777297974, 0.4424191117286682, 0.44154447317123413, 0.44068390130996704, 0.43983644247055054, 0.43900245428085327, 0.4381811022758484, 0.4373733401298523, 0.4365779757499695, 0.43579548597335815, 0.4350244402885437, 0.434309184551239, 0.43356138467788696, 0.43282586336135864, 0.43210166692733765, 0.43137115240097046, 0.4306681752204895, 0.4299749732017517, 0.4292932152748108, 0.4286218285560608, 0.4279608130455017, 0.42730945348739624, 0.426666796207428, 0.4260346293449402, 0.42541104555130005, 0.4247972369194031, 0.4241930842399597, 0.42359596490859985, 0.4230080246925354, 0.4224289059638977, 0.42185670137405396, 0.42129284143447876, 0.4207375645637512, 0.4201892018318176, 0.41964834928512573, 0.41911453008651733, 0.41858893632888794, 0.4180697798728943, 0.417558491230011, 0.41730695962905884, 0.4168779253959656, 0.4163934588432312, 0.41591519117355347, 0.415444552898407, 0.41498178243637085, 0.41452521085739136, 0.4140769839286804, 0.4136349558830261, 0.41320163011550903, 0.41286855936050415, 0.41240888833999634, 0.41199928522109985, 0.4117355942726135, 0.41134387254714966, 0.4109637141227722, 0.41059190034866333, 0.41023319959640503, 0.4098849892616272, 0.40940457582473755, 0.4090786576271057, 0.40876537561416626, 0.40846508741378784, 0.40817826986312866, 0.40790802240371704, 0.407654345035553, 0.40736860036849976, 0.40739697217941284, 0.4071963429450989, 0.40701407194137573, 0.40685099363327026, 0.40670639276504517, 0.40658003091812134, 0.4064733386039734, 0.4063860774040222, 0.4063168168067932, 0.4058559536933899, 0.40582388639450073, 0.405900776386261, 0.40564996004104614, 0.4057106375694275, 0.40575069189071655, 0.40580886602401733, 0.405884325504303, 0.4059775471687317, 0.40608638525009155, 0.4062109589576721, 0.40635210275650024, 0.4063592553138733, 0.4064125418663025, 0.4065994620323181, 0.4067990183830261, 0.40701061487197876, 0.40723174810409546, 0.4074646830558777, 0.4077075123786926, 0.40786904096603394, 0.4081353545188904, 0.4082396626472473, 0.4085215926170349, 0.4088119864463806, 0.40920740365982056, 0.4095150828361511, 0.40983277559280396, 0.4101516604423523, 0.4104742407798767, 0.4108056426048279, 0.41113942861557007, 0.41147881746292114, 0.4118238091468811, 0.4121728539466858, 0.412550151348114, 0.4129059910774231, 0.4132623076438904, 0.4136260151863098, 0.41399282217025757, 0.4143058657646179, 0.4146798253059387, 0.41505926847457886, 0.41544049978256226, 0.41582709550857544, 0.41621536016464233], forces=[(-0.0006258396897464991, 0.019933737814426422, 0.013735621236264706), (0.0018334961496293545, 0.01746063120663166, 0.02494685724377632), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008714769966900349, 0.016418270766735077, -0.004860154818743467), (0.01420487742871046, 0.013074124231934547, 0.01713825762271881), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001224221778102219, 0.02218947559595108, 0.004531799349933863), (0.009960023686289787, 0.010802770964801311, 0.022761233150959015), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0015128235099837184, 0.0238343495875597, 0.013236811384558678), (-0.003454487770795822, 0.062051694840192795, -0.0007428696844726801), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.015531458891928196, 0.015627361834049225, -0.009759699925780296), (0.02738989144563675, -0.00752607174217701, -0.013589615933597088), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00642042700201273, 0.02293756604194641, 0.002542270580306649), (0.005458017345517874, 0.0347152017056942, 0.006581078749150038), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0025697643868625164, 0.006970428861677647, 0.0223014447838068), (-0.001811839989386499, 0.016074446961283684, 0.022881092503666878), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003704817732796073, 0.005280943121761084, 0.018811272457242012), (0.0029582930728793144, 0.013788148760795593, 0.017167087644338608), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003956185653805733, 0.0065984707325696945, 0.019196780398488045), (-0.00143615051638335, 0.012560811825096607, 0.020192191004753113), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.017719827592372894, -0.059617772698402405, 0.07518930733203888), (-0.032019197940826416, -0.08315499871969223, 0.06282617896795273)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=48, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8445794582366943, -0.0011509471805766225, 16.890506744384766), (1.4902336597442627, 1.448388934135437, 18.78626251220703), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.861290693283081, 2.8382322788238525, 16.879945755004883), (1.444419264793396, 4.249169826507568, 18.825794219970703), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8401992321014404, 5.642666339874268, 16.886402130126953), (1.4584869146347046, 7.047994136810303, 18.81647491455078), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.679119110107422, 0.008440190926194191, 16.954708099365234), (4.234127521514893, 1.4182758331298828, 18.84332275390625), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.699310779571533, 2.7908101081848145, 16.967426300048828), (4.236043453216553, 4.24883508682251, 18.84099006652832), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.666647434234619, 5.648660659790039, 16.921682357788086), (4.2367095947265625, 7.051003932952881, 18.838783264160156), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.449957847595215, 0.020453184843063354, 16.962047576904297), (7.040366172790527, 1.6010702848434448, 19.039142608642578), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.470834732055664, 2.8233189582824707, 16.91813850402832), (7.080813407897949, 4.281249046325684, 18.869081497192383), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.469084739685059, 5.65602970123291, 16.907114028930664), (7.07546329498291, 7.006349086761475, 18.92407989501953), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (7.370976448059082, 0.5125826597213745, 20.70840072631836), (8.341869354248047, 0.601092517375946, 20.86819076538086)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.7689122557640076, energy_trajectory=[1.5306551456451416, 1.5150599479675293, 1.5042839050292969, 1.4942364692687988, 1.4845006465911865, 1.475252628326416, 1.466109275817871, 1.4574363231658936, 1.4489185810089111, 1.440148115158081, 1.4315032958984375, 1.4229285717010498, 1.414520025253296, 1.4060211181640625, 1.3977794647216797, 1.3892452716827393, 1.3810670375823975, 1.3728914260864258, 1.364802360534668, 1.35677170753479, 1.3488037586212158, 1.340904712677002, 1.3333287239074707, 1.3260903358459473, 1.319021224975586, 1.312145471572876, 1.3053874969482422, 1.298905849456787, 1.292661190032959, 1.2865891456604004, 1.2806789875030518, 1.2749214172363281, 1.2693073749542236, 1.2638282775878906, 1.2584733963012695, 1.2532377243041992, 1.247978925704956, 1.2429561614990234, 1.2374491691589355, 1.2325959205627441, 1.227837324142456, 1.2231636047363281, 1.2185735702514648, 1.2140629291534424, 1.2096271514892578, 1.2053639888763428, 1.2010762691497803, 1.1968562602996826, 1.1926991939544678, 1.1886045932769775, 1.1845545768737793, 1.1805758476257324, 1.1766557693481445, 1.1727898120880127, 1.1689794063568115, 1.165221929550171, 1.1615149974822998, 1.157857894897461, 1.1542491912841797, 1.1506354808807373, 1.1471474170684814, 1.1436729431152344, 1.1402411460876465, 1.136878490447998, 1.1335248947143555, 1.1300888061523438, 1.1268088817596436, 1.123563528060913, 1.1201796531677246, 1.1170015335083008, 1.1136665344238281, 1.1104426383972168, 1.107370376586914, 1.1043291091918945, 1.1016221046447754, 1.098740816116333, 1.0957903861999512, 1.0928678512573242, 1.0899815559387207, 1.087120771408081, 1.0845541954040527, 1.0817515850067139, 1.078977346420288, 1.0760831832885742, 1.073371410369873, 1.0706913471221924, 1.068042278289795, 1.0654239654541016, 1.062997817993164, 1.0604443550109863, 1.057922601699829, 1.0554325580596924, 1.0529727935791016, 1.050544261932373, 1.0481457710266113, 1.0457768440246582, 1.0434393882751465, 1.0411298274993896, 1.0388481616973877, 1.0365965366363525, 1.034372091293335, 1.0321602821350098, 1.029984474182129, 1.0278315544128418, 1.0257024765014648, 1.0236127376556396, 1.0215299129486084, 1.0194683074951172, 1.017430067062378, 1.0154166221618652, 1.0133459568023682, 1.0113763809204102, 1.0094270706176758, 1.0074996948242188, 1.005591869354248, 1.0037040710449219, 1.0018343925476074, 0.9999668002128601, 0.998100221157074, 0.9962859749794006, 0.9944869875907898, 0.9927049279212952, 0.9909395575523376, 0.9891896843910217, 0.9874599575996399, 0.985750138759613, 0.9840379357337952, 0.9823668599128723, 0.9807124733924866, 0.9790762066841125, 0.9774582982063293, 0.9758589863777161, 0.974276602268219, 0.9727111458778381, 0.9711616635322571, 0.9696299433708191, 0.9681140780448914, 0.9666135907173157, 0.965127170085907, 0.9636562466621399, 0.9618503451347351, 0.9604082703590393, 0.9589787125587463, 0.9575632214546204, 0.9561579823493958, 0.954766571521759, 0.9533843398094177, 0.9520140290260315, 0.9507594704627991, 0.9494126439094543, 0.9480739235877991, 0.9467458128929138, 0.9453710913658142, 0.9440614581108093, 0.9427595734596252, 0.9414636492729187, 0.9403281807899475, 0.9390427470207214, 0.9377647042274475, 0.9364922642707825, 0.9355842471122742, 0.9343207478523254, 0.9330644011497498, 0.9318146109580994, 0.9305698275566101, 0.9293314814567566, 0.9280977845191956, 0.9268710017204285, 0.9256492257118225, 0.9244328141212463, 0.92325359582901, 0.9220510125160217, 0.9208537936210632, 0.9196615815162659, 0.9184743762016296, 0.9172911047935486, 0.9161126017570496, 0.9149937033653259, 0.9138255715370178, 0.9126628041267395, 0.9115037322044373, 0.9102059006690979, 0.9090537428855896, 0.9079059958457947, 0.9067596793174744, 0.9056172966957092, 0.9044788479804993, 0.9033412337303162, 0.9022080302238464, 0.9010753035545349, 0.8999441266059875, 0.8989737629890442, 0.8978464007377625, 0.8967203497886658, 0.8955935835838318, 0.8944686055183411, 0.893342912197113, 0.8922174572944641, 0.8910911679267883, 0.8899648785591125, 0.8888385891914368, 0.8877125382423401, 0.886585533618927, 0.8854575753211975, 0.8843291401863098, 0.8832008242607117, 0.8820717930793762, 0.8809422850608826, 0.879645049571991, 0.8785097002983093, 0.8773736357688904, 0.8762382864952087, 0.8751023411750793, 0.8739671111106873, 0.8728324770927429, 0.8716970086097717, 0.870562732219696, 0.869422972202301, 0.8682889342308044, 0.8671553730964661, 0.8660219311714172, 0.8648903965950012, 0.8637588620185852, 0.862628161907196, 0.8614982962608337, 0.8603705763816833, 0.8592436909675598, 0.8581168055534363, 0.8569930195808411, 0.8558686375617981, 0.8547458052635193, 0.8536244034767151, 0.8525033593177795, 0.851383626461029, 0.8502644896507263, 0.8491464257240295, 0.8481816649436951, 0.8469597697257996, 0.8459537625312805, 0.8448341488838196, 0.8437139391899109, 0.8425958752632141, 0.841475784778595, 0.840297520160675, 0.8391734957695007, 0.8380482792854309, 0.836922824382782, 0.8357948660850525, 0.8346652388572693, 0.8332826495170593, 0.8321477770805359, 0.8310100436210632, 0.8298688530921936, 0.8287256360054016, 0.8275784850120544, 0.8264070153236389, 0.8252547383308411, 0.8240967392921448, 0.8229369521141052, 0.8217713236808777, 0.8206025958061218, 0.8194289803504944, 0.8182501196861267, 0.8170663714408875, 0.8158780932426453, 0.8146830201148987, 0.8134836554527283, 0.8122780919075012, 0.8110262751579285, 0.8098110556602478, 0.8085888028144836, 0.8073616623878479, 0.8061270117759705, 0.8048868775367737, 0.8036406636238098, 0.8023878931999207, 0.8008596301078796, 0.7995920777320862, 0.798317015171051, 0.7970359921455383, 0.7957474589347839, 0.7944517731666565, 0.793148934841156, 0.7918397784233093, 0.7905223965644836, 0.7891973853111267, 0.7878636717796326, 0.7865241169929504, 0.785176694393158, 0.7838216423988342, 0.7824587225914001, 0.7810871005058289, 0.7797065377235413, 0.7783179879188538, 0.7760431170463562, 0.7746345400810242, 0.7732182145118713, 0.7717916369438171, 0.770357072353363, 0.7689122557640076], forces=[(-0.019180968403816223, 0.014239211566746235, 0.030331799760460854), (-0.1302618533372879, -0.03713129833340645, 0.15093283355236053), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03444959223270416, -0.009604440070688725, 0.027881614863872528), (-0.0013870688853785396, -0.0006709784502163529, 0.06309470534324646), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0032486929558217525, 0.006395259872078896, 0.019492248073220253), (-0.031510625034570694, 0.035838980227708817, 0.08296361565589905), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005414440296590328, 0.01012452132999897, 0.015417122282087803), (0.0003635613829828799, 0.01547147799283266, 0.045110415667295456), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05883968248963356, 0.06949035823345184, -0.06518594920635223), (0.008288096636533737, -9.965521712729242e-06, 0.05117809399962425), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006755119189620018, 0.029831916093826294, 0.02064264565706253), (0.006628950126469135, 0.011402740143239498, 0.05386962369084358), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0005335824680514634, 0.008258853107690811, -0.00992572121322155), (0.02829255722463131, 0.0018775220960378647, -0.0895121693611145), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011697051115334034, 0.0024807793088257313, 0.017902981489896774), (-0.004417578689754009, 0.032295551151037216, 0.05633308365941048), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008071373216807842, 0.022426573559641838, 0.028639623895287514), (0.03580091893672943, 0.1070331260561943, 0.13664473593235016), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.034452084451913834, -0.23779000341892242, -0.13765445351600647), (-0.1966133415699005, -0.19645746052265167, 0.005131334997713566)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=49, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8507823944091797, -0.029989806935191154, 16.969167709350586), (1.3875138759613037, 1.3996070623397827, 18.820262908935547), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8372514247894287, 2.7773780822753906, 16.92671775817871), (1.3908089399337769, 4.203690528869629, 18.824243545532227), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.837909460067749, 5.630897521972656, 16.933610916137695), (1.3693979978561401, 7.014710426330566, 18.809663772583008), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.610613822937012, -0.029246171936392784, 16.957399368286133), (4.258917808532715, 1.4151405096054077, 19.016206741333008), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.623243808746338, 2.778585910797119, 16.92717742919922), (4.222471237182617, 4.129584312438965, 18.869279861450195), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.613249778747559, 5.62961483001709, 16.93268394470215), (4.267742156982422, 6.793436050415039, 19.02631187438965), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.459515571594238, -0.009859830141067505, 16.89254379272461), (7.074122428894043, 1.392336368560791, 18.829504013061523), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.459882736206055, 2.812354803085327, 16.88222885131836), (7.065927028656006, 4.199601173400879, 18.826078414916992), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.457776069641113, 5.621528625488281, 16.87852668762207), (7.07000207901001, 7.013947486877441, 18.819185256958008), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.136239528656006, 8.182852745056152, 20.55040740966797), (4.930013656616211, 8.080007553100586, 21.123186111450195)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5412372946739197, energy_trajectory=[1.1726257801055908, 1.1602871417999268, 1.151658058166504, 1.1434457302093506, 1.1348741054534912, 1.1265645027160645, 1.118346929550171, 1.1102187633514404, 1.1026160717010498, 1.09488844871521, 1.087240219116211, 1.0794177055358887, 1.0713024139404297, 1.0635991096496582, 1.0557301044464111, 1.0480589866638184, 1.0409607887268066, 1.0340240001678467, 1.0270237922668457, 1.02036714553833, 1.013953685760498, 1.0076861381530762, 1.0018165111541748, 0.9959974884986877, 0.9903067946434021, 0.9847132563591003, 0.9803861975669861, 0.9751673340797424, 0.9700763821601868, 0.9651060700416565, 0.9602436423301697, 0.9554519057273865, 0.9508224129676819, 0.9462338089942932, 0.9418202042579651, 0.9375081658363342, 0.9332330822944641, 0.929252564907074, 0.9252360463142395, 0.9213123917579651, 0.9174804091453552, 0.913760244846344, 0.9100989699363708, 0.9065207839012146, 0.9030917286872864, 0.8996769785881042, 0.8963398337364197, 0.893083393573761, 0.8899025321006775, 0.8867958188056946, 0.8837639689445496, 0.8808061480522156, 0.8779194951057434, 0.875072181224823, 0.8723282217979431, 0.8696492314338684, 0.8669427037239075, 0.8644004464149475, 0.861921489238739, 0.8594600558280945, 0.8573561310768127, 0.8550620675086975, 0.8530698418617249, 0.8508941531181335, 0.8488319516181946, 0.8467690348625183, 0.8447608351707458, 0.8428074717521667, 0.8407850861549377, 0.8389365077018738, 0.837136447429657, 0.8353847861289978, 0.8335317969322205, 0.8318782448768616, 0.8302678465843201, 0.8287027478218079, 0.8271782994270325, 0.8256942629814148, 0.8242493271827698, 0.8228407502174377, 0.82146817445755, 0.8201296925544739, 0.8188229203224182, 0.8175457119941711, 0.8162972331047058, 0.8150873780250549, 0.813729465007782, 0.8126748204231262, 0.8115182518959045, 0.8103805184364319, 0.809257447719574, 0.8081480860710144, 0.8070521950721741, 0.8059664368629456, 0.8048906922340393, 0.8038244843482971, 0.8028308749198914, 0.8017790913581848, 0.8007329106330872, 0.7996947169303894, 0.7986624836921692, 0.7976382374763489, 0.7966194748878479, 0.7955518364906311, 0.7945485711097717, 0.793539822101593, 0.7925533652305603, 0.7915764451026917, 0.7906093001365662, 0.7897400259971619, 0.7888620495796204, 0.7879288792610168, 0.7870907187461853, 0.7861786484718323, 0.7852782607078552, 0.78438800573349, 0.7834137082099915, 0.7825440764427185, 0.7816826701164246, 0.7795252203941345, 0.7786746621131897, 0.7778300642967224, 0.7769919037818909, 0.7761602997779846, 0.7753342986106873, 0.7743543982505798, 0.7735372185707092, 0.7727221846580505, 0.771911084651947, 0.7711017727851868, 0.7702931761741638, 0.7694846987724304, 0.7685701251029968, 0.7677609324455261, 0.7669509053230286, 0.7661390900611877, 0.7653248906135559, 0.7645091414451599, 0.7636894583702087, 0.762866199016571, 0.7620380520820618, 0.7612059712409973, 0.7603680491447449, 0.759526789188385, 0.7586780190467834, 0.7577258944511414, 0.7568637728691101, 0.7559939026832581, 0.7551171183586121, 0.7542313933372498, 0.7533373236656189, 0.7519908547401428, 0.7510793805122375, 0.7501576542854309, 0.7492279410362244, 0.7482852339744568, 0.7473466992378235, 0.7463834881782532, 0.7454105019569397, 0.7444102168083191, 0.7434137463569641, 0.742489755153656, 0.7414701581001282, 0.7404382824897766, 0.7393942475318909, 0.7383379340171814, 0.7372711300849915, 0.7361912131309509, 0.7351648211479187, 0.7340639233589172, 0.7329514622688293, 0.7318275570869446, 0.7306923270225525, 0.7295463681221008, 0.7283889651298523, 0.727221667766571, 0.7260441184043884, 0.7248569130897522, 0.7236602902412415, 0.7224540114402771, 0.721240222454071, 0.72001713514328, 0.71878582239151, 0.7175460457801819, 0.716298520565033, 0.7150428891181946, 0.7137799859046936, 0.712508499622345, 0.7112293839454651, 0.7099425196647644, 0.7086483836174011, 0.7073438763618469, 0.7060417532920837, 0.7047227025032043, 0.7033938765525818, 0.7020552754402161, 0.7007072567939758, 0.6993491053581238, 0.6979828476905823, 0.6966072916984558, 0.6952229142189026, 0.6938297152519226, 0.6924288868904114, 0.6910200715065002, 0.6896032691001892, 0.6881796717643738, 0.6867496371269226, 0.685311496257782, 0.6838683485984802, 0.6824182868003845, 0.6809621453285217, 0.6795005202293396, 0.6780350804328918, 0.6765629649162292, 0.6750862002372742, 0.6736052632331848, 0.6721201539039612, 0.6704829335212708, 0.6689900755882263, 0.6674931645393372, 0.6659920811653137, 0.6644877791404724, 0.6629794239997864, 0.6614689230918884, 0.6599530577659607, 0.6584344506263733, 0.6568654179573059, 0.6553394198417664, 0.6538093686103821, 0.6522760987281799, 0.6507369875907898, 0.6491941809654236, 0.647646963596344, 0.6460942625999451, 0.6445373892784119, 0.6429646611213684, 0.6413972973823547, 0.6398226618766785, 0.6382439732551575, 0.6377256512641907, 0.636120617389679, 0.6345112919807434, 0.632896363735199, 0.6312764286994934, 0.6296501755714417, 0.6280191540718079, 0.6263816952705383, 0.6247406601905823, 0.6230961680412292, 0.6214465498924255, 0.6197943091392517, 0.6181400418281555, 0.6164841055870056, 0.6153985857963562, 0.6137420535087585, 0.6122192740440369, 0.6096978783607483, 0.6080430150032043, 0.6063887476921082, 0.6047372221946716, 0.6030877232551575, 0.6014410853385925, 0.599797785282135, 0.5981594920158386, 0.596524178981781, 0.5948939919471741, 0.5932676196098328, 0.5916466116905212, 0.590029776096344, 0.5884184241294861, 0.5868120789527893, 0.5852096676826477, 0.5836123824119568, 0.5820185542106628, 0.580430805683136, 0.5788465142250061, 0.5772672295570374, 0.5756914019584656, 0.5741190314292908, 0.572552502155304, 0.5709894299507141, 0.5689260363578796, 0.5673728585243225, 0.5658251643180847, 0.5642820000648499, 0.5627439618110657, 0.5612108111381531, 0.5596835017204285, 0.5581627488136292, 0.556650698184967, 0.555143415927887, 0.553644597530365, 0.5521535277366638, 0.5506708025932312, 0.5492424368858337, 0.5469247698783875, 0.5455506443977356, 0.5441026091575623, 0.5426650643348694, 0.5412372946739197], forces=[(-0.0015199827030301094, -0.01074962504208088, -0.006102410610765219), (0.012572964653372765, -0.021821074187755585, 0.0829940214753151), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0004411400586832315, -0.017664074897766113, 0.036126378923654556), (0.009022802114486694, -0.0035630138590931892, 0.07863637804985046), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013232509605586529, -0.03788027539849281, 0.004031046759337187), (0.04195184260606766, -0.008337156847119331, 0.09638413786888123), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01815476082265377, -0.007796519435942173, -0.0018600823823362589), (0.014440408907830715, -0.061730608344078064, 0.08350487053394318), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003857646370306611, -0.021045129746198654, 0.04417053610086441), (0.0022036072332412004, 0.018789827823638916, 0.07830887287855148), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.025610271841287613, -0.04010859131813049, 0.0060106124728918076), (-0.0016978320199996233, 0.12666408717632294, -0.09427332133054733), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008996954187750816, -0.010200700722634792, 0.028885476291179657), (-0.0063752178102731705, -0.0202880147844553, 0.08413591235876083), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004433283116668463, -0.00829949788749218, 0.03228631988167763), (-0.005397740751504898, -0.0026174825616180897, 0.07849381864070892), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005459974054247141, 0.0020311647094786167, 0.03284316509962082), (-0.006817241199314594, -0.004569164011627436, 0.09420476108789444), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03389652445912361, 0.27162715792655945, -0.033661242574453354), (-0.01826632395386696, 0.20929144322872162, -0.26999977231025696)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=50, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.837855100631714, -0.03459800034761429, 16.9404296875), (1.3884268999099731, 1.4249954223632812, 18.825777053833008), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.806187152862549, 2.81129789352417, 16.879261016845703), (1.3893033266067505, 4.214264392852783, 18.82320213317871), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.826026678085327, 5.656601905822754, 16.932781219482422), (1.3372944593429565, 7.04932165145874, 18.859678268432617), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.62458610534668, -0.030464187264442444, 16.955852508544922), (4.211257457733154, 1.4307016134262085, 18.826175689697266), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.638418674468994, 2.8169004917144775, 16.891450881958008), (4.199624538421631, 4.185941219329834, 18.804039001464844), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.619660377502441, 5.670383453369141, 16.967039108276367), (3.9920194149017334, 7.129462718963623, 19.054981231689453), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.448433876037598, -0.008442697115242481, 16.905929565429688), (7.05081844329834, 1.4267339706420898, 18.826492309570312), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.460500717163086, 2.8187665939331055, 16.881725311279297), (7.0538482666015625, 4.210395336151123, 18.81707191467285), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.444817543029785, 5.649415969848633, 16.906639099121094), (7.096930503845215, 7.064301013946533, 18.92411231994629), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.065181255340576, 6.795429229736328, 20.72826385498047), (4.974604606628418, 7.565486907958984, 21.33702278137207)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.7797001004219055, energy_trajectory=[1.4398388862609863, 1.4256341457366943, 1.4161858558654785, 1.4067153930664062, 1.3974225521087646, 1.388639211654663, 1.379899024963379, 1.3713457584381104, 1.363041877746582, 1.3551156520843506, 1.3476507663726807, 1.3399815559387207, 1.3324925899505615, 1.3251457214355469, 1.3180105686187744, 1.3110039234161377, 1.3039793968200684, 1.2975695133209229, 1.2907168865203857, 1.2840795516967773, 1.2775518894195557, 1.2711329460144043, 1.264707326889038, 1.2584338188171387, 1.252241611480713, 1.246079921722412, 1.2400405406951904, 1.2342138290405273, 1.2283222675323486, 1.2225008010864258, 1.216752290725708, 1.2108526229858398, 1.2051112651824951, 1.199568271636963, 1.1940855979919434, 1.1886649131774902, 1.1833081245422363, 1.1780107021331787, 1.1726398468017578, 1.1673822402954102, 1.1622648239135742, 1.1572027206420898, 1.152200698852539, 1.1472499370574951, 1.1418976783752441, 1.1370551586151123, 1.1322660446166992, 1.1276910305023193, 1.1230120658874512, 1.1184165477752686, 1.1139192581176758, 1.1093990802764893, 1.104928731918335, 1.1005091667175293, 1.0961391925811768, 1.0919666290283203, 1.0876953601837158, 1.0834736824035645, 1.0793020725250244, 1.0751781463623047, 1.0711023807525635, 1.0670747756958008, 1.0630948543548584, 1.0591638088226318, 1.0552797317504883, 1.0514423847198486, 1.0476529598236084, 1.0439090728759766, 1.0402123928070068, 1.0365619659423828, 1.032959222793579, 1.0294005870819092, 1.0258889198303223, 1.0224218368530273, 1.0190019607543945, 1.0156257152557373, 1.0122950077056885, 1.0090081691741943, 1.0057661533355713, 1.0025675296783447, 0.9994152188301086, 0.9963286519050598, 0.9932606816291809, 0.9902364611625671, 0.9872531294822693, 0.9843141436576843, 0.9814165234565735, 0.9785630106925964, 0.9759336113929749, 0.9731655716896057, 0.9704368710517883, 0.9677489399909973, 0.9652199149131775, 0.9626126885414124, 0.9600440859794617, 0.9575151801109314, 0.955024778842926, 0.9525631070137024, 0.9501486420631409, 0.9477718472480774, 0.9453774094581604, 0.9430738091468811, 0.9407934546470642, 0.9385578036308289, 0.9363577961921692, 0.9320399165153503, 0.930679976940155, 0.9285946488380432, 0.9265443682670593, 0.9245250821113586, 0.9225384593009949, 0.9205836653709412, 0.9186611771583557, 0.9168218970298767, 0.9149617552757263, 0.9131315350532532, 0.9113339781761169, 0.9095651507377625, 0.9078264832496643, 0.9061159491539001, 0.9044343829154968, 0.903014600276947, 0.9013893008232117, 0.8997897505760193, 0.8981396555900574, 0.8965927958488464, 0.8950986266136169, 0.8936023116111755, 0.8921307921409607, 0.8906092047691345, 0.8891844153404236, 0.8877812027931213, 0.8864009976387024, 0.8850414156913757, 0.8837026953697205, 0.882383406162262, 0.8810381293296814, 0.8797211050987244, 0.8784647583961487, 0.877496063709259, 0.8762796521186829, 0.8751047253608704, 0.8739228844642639, 0.8727571368217468, 0.8716080784797668, 0.8704754710197449, 0.869346559047699, 0.868245542049408, 0.8671157956123352, 0.8660460114479065, 0.8649913668632507, 0.8639524579048157, 0.8629283308982849, 0.8619193434715271, 0.8609251379966736, 0.8599458336830139, 0.8589798808097839, 0.8580284714698792, 0.8570912480354309, 0.8561676144599915, 0.8552575707435608, 0.8543189167976379, 0.8534371256828308, 0.8525674939155579, 0.8517116904258728, 0.8508687615394592, 0.8500390648841858, 0.8494579195976257, 0.8486495614051819, 0.8478537201881409, 0.8470705151557922, 0.846264660358429, 0.8455055356025696, 0.8446474671363831, 0.8439105153083801, 0.8431870341300964, 0.8424726128578186, 0.8417697548866272, 0.8409691452980042, 0.8402885794639587, 0.8396167159080505, 0.8389549851417542, 0.8383025527000427, 0.8375521302223206, 0.8369200825691223, 0.8362968564033508, 0.8356835246086121, 0.8350791335105896, 0.8344828486442566, 0.8338949084281921, 0.8333160281181335, 0.8325830101966858, 0.831978976726532, 0.8314229846000671, 0.8308739066123962, 0.8303311467170715, 0.8297958970069885, 0.8293765187263489, 0.8288547396659851, 0.8283389210700989, 0.8278287053108215, 0.8273244500160217, 0.8268253207206726, 0.8263296484947205, 0.8258392214775085, 0.8254044651985168, 0.8249252438545227, 0.8244488835334778, 0.8240246176719666, 0.8236033320426941, 0.8231391310691833, 0.8227344155311584, 0.8214775919914246, 0.821018397808075, 0.8205620646476746, 0.8201078772544861, 0.8196569085121155, 0.8191947340965271, 0.8187511563301086, 0.8183097243309021, 0.8178707957267761, 0.8174353241920471, 0.81700199842453, 0.8165709376335144, 0.8158336281776428, 0.815409243106842, 0.8149409890174866, 0.8145250678062439, 0.8141078352928162, 0.8136935830116272, 0.8132811188697815, 0.8128706812858582, 0.8124614357948303, 0.8120537400245667, 0.811647355556488, 0.8112415671348572, 0.8107721209526062, 0.8103707432746887, 0.8099691271781921, 0.8095681071281433, 0.8091660141944885, 0.8087639212608337, 0.8083613514900208, 0.8079580664634705, 0.80743807554245, 0.8070307374000549, 0.806623637676239, 0.8062155842781067, 0.8058057427406311, 0.8053951859474182, 0.8049816489219666, 0.8045673966407776, 0.8041498064994812, 0.803806722164154, 0.8033842444419861, 0.8029605746269226, 0.802534282207489, 0.8021063208580017, 0.8016758561134338, 0.8012420535087585, 0.8008068203926086, 0.8003670573234558, 0.7999259829521179, 0.7994807362556458, 0.7990338206291199, 0.7985829710960388, 0.7981285452842712, 0.7976704239845276, 0.7972094416618347, 0.7962828278541565, 0.7958107590675354, 0.7953347563743591, 0.7948556542396545, 0.7944521307945251, 0.793963611125946, 0.7934688925743103, 0.7929725050926208, 0.79246586561203, 0.7919530272483826, 0.7914358973503113, 0.7909125685691833, 0.7904507517814636, 0.789777934551239, 0.7892341017723083, 0.7886852622032166, 0.7881298661231995, 0.7875681519508362, 0.7870002388954163, 0.7864266037940979, 0.7858465313911438, 0.785260021686554, 0.7846677899360657, 0.7840682864189148, 0.7834621071815491, 0.7828508019447327, 0.7822323441505432, 0.7816091179847717, 0.7809780240058899, 0.7803418040275574, 0.7797001004219055], forces=[(-0.03296034038066864, 0.023171382024884224, 0.005354305729269981), (-0.0028934304136782885, -0.007807677146047354, 0.07328234612941742), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005220260936766863, 0.003531499532982707, 0.034182108938694), (-0.0008678121375851333, 0.007164044305682182, 0.07537803053855896), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.025289159268140793, -0.010750592686235905, 0.002401132369413972), (0.0019262494752183557, -0.00029946077847853303, 0.07425250858068466), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010061795823276043, 0.006602335721254349, 0.01617787592113018), (0.0004356937715783715, -0.013465163297951221, 0.10111735016107559), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0069900755770504475, 0.0013927886029705405, 0.028856882825493813), (0.00022807676577940583, 0.04249903932213783, 0.1037418320775032), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015078412368893623, 0.00021244004892650992, 0.008400349877774715), (0.09272512793540955, 0.005722407717257738, -0.00802802387624979), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01690359227359295, -0.006859221961349249, 0.03767325356602669), (-0.015788022428750992, -0.01863275282084942, 0.08498483151197433), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009792624972760677, -0.0015671491855755448, 0.03104037418961525), (-0.017726628109812737, 0.014428725466132164, 0.08581998944282532), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0112489964812994, -0.0008916337974369526, 0.02784893848001957), (-0.1212824359536171, -0.02108553610742092, 0.08157844096422195), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.2781796455383301, 0.1442037969827652, 0.03714079037308693), (0.04538806155323982, -0.09365325421094894, -0.2626604437828064)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=51, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8317477703094482, 0.028104983270168304, 16.88168716430664), (1.415479063987732, 1.3997492790222168, 18.836511611938477), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7908544540405273, 2.869502305984497, 16.957300186157227), (1.629944920539856, 4.206513404846191, 19.056095123291016), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.816483736038208, 5.64113187789917, 16.923675537109375), (1.438300609588623, 7.105072498321533, 18.801836013793945), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.641038417816162, 0.01274450309574604, 16.883384704589844), (4.241691589355469, 1.4126582145690918, 18.830448150634766), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.648085117340088, 2.8416402339935303, 16.913331985473633), (4.291839599609375, 4.255237579345703, 18.861618041992188), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.657121181488037, 5.644345283508301, 16.906545639038086), (4.247226238250732, 7.086861610412598, 18.821083068847656), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.462985038757324, 0.015246729366481304, 16.89227867126465), (7.043420791625977, 1.4094643592834473, 18.827486038208008), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.474456787109375, 2.8585755825042725, 16.95960807800293), (7.0135111808776855, 4.251388072967529, 18.92766761779785), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.484579086303711, 5.622725486755371, 16.95998764038086), (7.052163124084473, 7.088987827301025, 18.8172664642334), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (0.5059266686439514, 4.389888763427734, 20.721654891967773), (0.5642970204353333, 5.358572959899902, 20.890058517456055)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.7322668433189392, energy_trajectory=[1.4733684062957764, 1.4618217945098877, 1.4505627155303955, 1.439011573791504, 1.4280946254730225, 1.417992353439331, 1.4082889556884766, 1.3986105918884277, 1.3902814388275146, 1.3815553188323975, 1.3728053569793701, 1.3645243644714355, 1.356889247894287, 1.3490703105926514, 1.3415331840515137, 1.3338673114776611, 1.3262219429016113, 1.3187274932861328, 1.3113734722137451, 1.3039429187774658, 1.2967140674591064, 1.2896230220794678, 1.2825031280517578, 1.275578260421753, 1.2687361240386963, 1.2619044780731201, 1.255225419998169, 1.2486166954040527, 1.2421073913574219, 1.2357549667358398, 1.2293593883514404, 1.2230324745178223, 1.2167706489562988, 1.2104978561401367, 1.2043633460998535, 1.1982903480529785, 1.1922779083251953, 1.1863253116607666, 1.1804289817810059, 1.174588680267334, 1.1688098907470703, 1.1629340648651123, 1.1572742462158203, 1.1516757011413574, 1.1461379528045654, 1.1406559944152832, 1.1352322101593018, 1.1299686431884766, 1.1245441436767578, 1.1192965507507324, 1.1140856742858887, 1.1089589595794678, 1.1040306091308594, 1.0990269184112549, 1.0941085815429688, 1.089217185974121, 1.084385633468628, 1.079613447189331, 1.0748991966247559, 1.070244550704956, 1.065633773803711, 1.0610945224761963, 1.0566127300262451, 1.0521912574768066, 1.0476067066192627, 1.043255090713501, 1.0390095710754395, 1.0345776081085205, 1.0304508209228516, 1.025972604751587, 1.0219073295593262, 1.01796293258667, 1.0140745639801025, 1.010244369506836, 1.006518840789795, 1.002805471420288, 0.9991491436958313, 0.9957812428474426, 0.9922084212303162, 0.9887275099754333, 0.9852411150932312, 0.981876790523529, 0.9785692095756531, 0.9753182530403137, 0.9723696112632751, 0.9689140915870667, 0.9658306241035461, 0.9628035426139832, 0.9598329663276672, 0.9569206833839417, 0.9540939927101135, 0.9512885212898254, 0.9482032656669617, 0.9453428387641907, 0.9426924586296082, 0.9401080012321472, 0.9375765919685364, 0.935097873210907, 0.9326723217964172, 0.9302977919578552, 0.9279763102531433, 0.9257046580314636, 0.923484742641449, 0.9213741421699524, 0.9192566275596619, 0.9171869158744812, 0.9151366353034973, 0.9131595492362976, 0.9119774699211121, 0.9100516438484192, 0.9081947207450867, 0.9066135287284851, 0.9049182534217834, 0.9032061696052551, 0.9015354514122009, 0.899900496006012, 0.898304283618927, 0.8967460989952087, 0.8952208161354065, 0.8937311768531799, 0.8922737240791321, 0.8908931612968445, 0.8894974589347839, 0.8882016539573669, 0.8868628144264221, 0.8854792714118958, 0.8842015862464905, 0.8829516768455505, 0.8816576600074768, 0.8804629445075989, 0.8792963624000549, 0.8787156939506531, 0.8776039481163025, 0.8765212893486023, 0.8754652142524719, 0.8744356036186218, 0.8734317421913147, 0.8724529147148132, 0.8714972138404846, 0.8705647587776184, 0.8696562647819519, 0.8691627383232117, 0.8682982325553894, 0.8674879670143127, 0.8666611313819885, 0.8658531308174133, 0.8650646805763245, 0.8642919659614563, 0.8635371327400208, 0.8627976775169373, 0.8620739579200745, 0.8613665699958801, 0.8606703877449036, 0.8599888682365417, 0.8593201041221619, 0.8586637377738953, 0.8580178618431091, 0.8573828339576721, 0.8567587733268738, 0.8561442494392395, 0.8555379509925842, 0.8549410700798035, 0.8543532490730286, 0.8538156151771545, 0.8532431721687317, 0.8526760935783386, 0.8521166443824768, 0.851563036441803, 0.8510145545005798, 0.8504701256752014, 0.8499316573143005, 0.8493973612785339, 0.8488655686378479, 0.8483368754386902, 0.8476956486701965, 0.847173273563385, 0.8466525673866272, 0.845370352268219, 0.8449839949607849, 0.844466507434845, 0.8440782427787781, 0.8435582518577576, 0.8430376648902893, 0.8425137400627136, 0.8419880270957947, 0.8416083455085754, 0.8410760760307312, 0.8405389189720154, 0.8399986624717712, 0.8397098183631897, 0.839191734790802, 0.83863765001297, 0.8380772471427917, 0.8375101685523987, 0.8369364142417908, 0.836355984210968, 0.8357687592506409, 0.8351730704307556, 0.8345707058906555, 0.8339603543281555, 0.8333423733711243, 0.8327162861824036, 0.832034170627594, 0.8313948512077332, 0.8307469487190247, 0.8300896286964417, 0.8295746445655823, 0.8288965821266174, 0.8282107710838318, 0.8275169730186462, 0.8268159031867981, 0.8261048197746277, 0.825386106967926, 0.8246600031852722, 0.8239261507987976, 0.8231827616691589, 0.8224332928657532, 0.8216754794120789, 0.8209103941917419, 0.8200415968894958, 0.8192638754844666, 0.8184803128242493, 0.8176882863044739, 0.8168894648551941, 0.8160830140113831, 0.8152691721916199, 0.8144484162330627, 0.8136202692985535, 0.8127850890159607, 0.8119423985481262, 0.8110917210578918, 0.8102326989173889, 0.8093661665916443, 0.8084929585456848, 0.8076110482215881, 0.8067204356193542, 0.8058214783668518, 0.8049156069755554, 0.8040017485618591, 0.803080141544342, 0.8021510243415833, 0.8012129664421082, 0.8002682328224182, 0.7993150353431702, 0.7983546853065491, 0.7973870635032654, 0.7964116930961609, 0.7954296469688416, 0.7944417595863342, 0.7934470772743225, 0.7924463152885437, 0.7914389967918396, 0.7904265522956848, 0.7892504334449768, 0.7882245182991028, 0.7871930003166199, 0.7861554026603699, 0.7851126790046692, 0.7840630412101746, 0.7830079197883606, 0.7819461226463318, 0.7808780074119568, 0.7798036932945251, 0.7787219882011414, 0.7776338458061218, 0.7765389084815979, 0.7754347920417786, 0.7743242383003235, 0.7732067704200745, 0.77208012342453, 0.7709454894065857, 0.7698021531105042, 0.7686498761177063, 0.7677993178367615, 0.7666476368904114, 0.7654682993888855, 0.764279305934906, 0.7630800604820251, 0.7618698477745056, 0.7606510519981384, 0.7594223618507385, 0.7581842541694641, 0.7569356560707092, 0.7556765675544739, 0.7544087767601013, 0.7517566084861755, 0.7504777312278748, 0.7491925358772278, 0.7478966116905212, 0.7465906739234924, 0.74527508020401, 0.7432844042778015, 0.7419481873512268, 0.7406004071235657, 0.7392405867576599, 0.7378692030906677, 0.7364879250526428, 0.7350923418998718, 0.7336856722831726, 0.7322668433189392], forces=[(-0.0015474500833079219, -0.03615327179431915, 0.02870682068169117), (0.020920686423778534, -0.004384658765047789, 0.05927732214331627), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.08576873689889908, -0.07146809250116348, -0.06856492161750793), (-0.024498382583260536, -0.022251084446907043, -0.1840888410806656), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02197607234120369, -0.015027638524770737, 0.02091376669704914), (-0.006061092484742403, -0.0887850672006607, 0.12145326286554337), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010005230084061623, -0.007741629146039486, 0.028723688796162605), (0.005657596979290247, 0.0021733909379690886, 0.0724259465932846), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.04225524514913559, 0.006896920967847109, 0.038410529494285583), (0.03593052178621292, -0.018243232741951942, 0.07499450445175171), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.027116622775793076, -0.0125388503074646, 0.039753541350364685), (0.0007900384953245521, -0.014746465720236301, 0.08337302505970001), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01180204190313816, -0.01706560142338276, 0.031044652685523033), (0.01852530427277088, 0.0028986860997974873, 0.07694538682699203), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006902527529746294, -0.022538868710398674, -0.00014048669254407287), (0.11127713322639465, 0.010994983837008476, 0.15781693160533905), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005928378086537123, 0.0011360782664269209, -0.006446633022278547), (0.02328728884458542, -0.021658984944224358, 0.09682251513004303), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.26824435591697693, 0.06994383782148361, -0.2532329857349396), (-0.21039022505283356, -0.08339839428663254, 0.15441124141216278)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=52, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.781541109085083, -0.007870764471590519, 16.966299057006836), (1.3481179475784302, 1.4669779539108276, 19.019996643066406), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7716147899627686, 2.787566661834717, 16.973228454589844), (1.373676061630249, 4.195589065551758, 18.89288902282715), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.7676658630371094, 5.6566691398620605, 16.975616455078125), (1.3872305154800415, 6.899613380432129, 19.013519287109375), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.617165565490723, -0.0015950588276609778, 16.903139114379883), (4.2220458984375, 1.402106523513794, 18.86080551147461), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.610413074493408, 2.826103925704956, 16.8968505859375), (4.227174758911133, 4.219475269317627, 18.85958480834961), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.60724401473999, 5.628598690032959, 16.895198822021484), (4.226475715637207, 7.045073509216309, 18.859472274780273), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.466141700744629, -0.012253711931407452, 16.95829963684082), (6.98221492767334, 1.4270648956298828, 18.828229904174805), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.454319953918457, 2.8043453693389893, 16.9262638092041), (7.019130229949951, 4.223381996154785, 18.849700927734375), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.451284408569336, 5.635704517364502, 16.924551010131836), (6.974784851074219, 7.02153205871582, 18.822696685791016), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.06615149974823, 8.363397598266602, 20.510313034057617), (0.09238719195127487, 8.289615631103516, 20.683256149291992)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4966948628425598, energy_trajectory=[1.761483907699585, 1.7476766109466553, 1.736936092376709, 1.7261748313903809, 1.7153375148773193, 1.7046401500701904, 1.6942265033721924, 1.6849777698516846, 1.6759850978851318, 1.6676397323608398, 1.6598753929138184, 1.6527197360992432, 1.6453757286071777, 1.6386535167694092, 1.631929636001587, 1.625758171081543, 1.6197710037231445, 1.613006591796875, 1.6075160503387451, 1.6018893718719482, 1.5964021682739258, 1.591005563735962, 1.5857925415039062, 1.5805232524871826, 1.5753247737884521, 1.5701844692230225, 1.5650997161865234, 1.5594851970672607, 1.5544891357421875, 1.5496094226837158, 1.5439536571502686, 1.5390193462371826, 1.5341448783874512, 1.5292863845825195, 1.5244414806365967, 1.5196096897125244, 1.5147876739501953, 1.5099713802337646, 1.5050251483917236, 1.5001118183135986, 1.4953062534332275, 1.4905023574829102, 1.4856953620910645, 1.480790376663208, 1.4760069847106934, 1.4711940288543701, 1.4663763046264648, 1.4615559577941895, 1.4567277431488037, 1.4518511295318604, 1.447007179260254, 1.4421558380126953, 1.4372916221618652, 1.4324169158935547, 1.4275317192077637, 1.4226326942443848, 1.4177231788635254, 1.4128012657165527, 1.4078905582427979, 1.4023056030273438, 1.3973472118377686, 1.392374038696289, 1.387291669845581, 1.382331371307373, 1.3772366046905518, 1.372206687927246, 1.3671903610229492, 1.3621270656585693, 1.3570520877838135, 1.3519620895385742, 1.3468618392944336, 1.3417494297027588, 1.3366212844848633, 1.3314814567565918, 1.3263273239135742, 1.3210804462432861, 1.31589937210083, 1.3107075691223145, 1.3055016994476318, 1.3002829551696777, 1.295050859451294, 1.2897887229919434, 1.284531831741333, 1.279261589050293, 1.2739806175231934, 1.2686846256256104, 1.2632474899291992, 1.2579262256622314, 1.2525954246520996, 1.247490644454956, 1.2421457767486572, 1.236785650253296, 1.2314186096191406, 1.2260973453521729, 1.2207074165344238, 1.2153139114379883, 1.209913969039917, 1.2045080661773682, 1.1990985870361328, 1.1936872005462646, 1.1882719993591309, 1.182856559753418, 1.1774396896362305, 1.1720213890075684, 1.166602373123169, 1.1611852645874023, 1.155771017074585, 1.1506695747375488, 1.145263433456421, 1.1398632526397705, 1.1344678401947021, 1.1290533542633057, 1.1236763000488281, 1.1183114051818848, 1.1129529476165771, 1.1076078414916992, 1.1022768020629883, 1.0969595909118652, 1.0916626453399658, 1.0863738059997559, 1.0811002254486084, 1.0758450031280518, 1.0706067085266113, 1.0653870105743408, 1.0601832866668701, 1.0550036430358887, 1.0501446723937988, 1.0450899600982666, 1.0399706363677979, 1.0348694324493408, 1.0297880172729492, 1.0247275829315186, 1.0196905136108398, 1.0146746635437012, 1.009681224822998, 1.0047097206115723, 0.9997608065605164, 0.9948325753211975, 0.9899298548698425, 0.9850487112998962, 0.9801903367042542, 0.9753525853157043, 0.9705403447151184, 0.9657543301582336, 0.9609968066215515, 0.9562665820121765, 0.9515582919120789, 0.9468836188316345, 0.9422306418418884, 0.9376044869422913, 0.933000385761261, 0.9284207224845886, 0.9238654971122742, 0.9193313717842102, 0.9148228764533997, 0.9103365540504456, 0.9058728814125061, 0.9014315009117126, 0.8970118165016174, 0.8921055197715759, 0.88773113489151, 0.8833755850791931, 0.8790028691291809, 0.874694287776947, 0.8704048991203308, 0.8661389946937561, 0.8618951439857483, 0.8576726317405701, 0.854031503200531, 0.8498712182044983, 0.8457316756248474, 0.8416109681129456, 0.8375152945518494, 0.8334385752677917, 0.8293840289115906, 0.8253516554832458, 0.8212420344352722, 0.8172556757926941, 0.8132911324501038, 0.8093481659889221, 0.8054271340370178, 0.8015280365943909, 0.7976496815681458, 0.793826162815094, 0.7902522683143616, 0.7864440083503723, 0.7826979756355286, 0.7789310812950134, 0.7751850485801697, 0.771461546421051, 0.7677550911903381, 0.7640722393989563, 0.760409414768219, 0.7567682862281799, 0.7531481385231018, 0.7495490908622742, 0.7459704279899597, 0.7424127459526062, 0.7388758063316345, 0.7348793148994446, 0.7313874363899231, 0.7279160618782043, 0.7244663834571838, 0.7210375666618347, 0.7173739075660706, 0.7139859795570374, 0.7106186747550964, 0.7072760462760925, 0.7039547562599182, 0.7006562352180481, 0.697380006313324, 0.6941260695457458, 0.6908959746360779, 0.6876888871192932, 0.6845043301582336, 0.6812900900840759, 0.6781534552574158, 0.6750416159629822, 0.6719533801078796, 0.6688877940177917, 0.665844738483429, 0.6628275513648987, 0.6598343253135681, 0.6568753123283386, 0.653927743434906, 0.6510029435157776, 0.648104727268219, 0.6452286839485168, 0.6423773169517517, 0.6395485997200012, 0.6367451548576355, 0.6339642405509949, 0.6312077641487122, 0.628473699092865, 0.6257620453834534, 0.6230763792991638, 0.6204124093055725, 0.617773711681366, 0.6156631112098694, 0.6130692362785339, 0.6104963421821594, 0.6079460978507996, 0.6054171919822693, 0.602912962436676, 0.6004272103309631, 0.5979649424552917, 0.5955244898796082, 0.5931045413017273, 0.5907081961631775, 0.5883330702781677, 0.5859804749488831, 0.583648145198822, 0.5812048316001892, 0.5789211392402649, 0.5766586661338806, 0.5744181275367737, 0.5721692442893982, 0.5699716210365295, 0.5677945017814636, 0.5654687285423279, 0.5633317828178406, 0.5612199902534485, 0.5591287016868591, 0.5570618510246277, 0.5550174117088318, 0.5529957413673401, 0.5509985089302063, 0.5490216612815857, 0.5470699667930603, 0.5451413989067078, 0.5432363152503967, 0.5413530468940735, 0.5394951701164246, 0.536942183971405, 0.5351071953773499, 0.5332984328269958, 0.5315113663673401, 0.5297500491142273, 0.5280113816261292, 0.5262954831123352, 0.5246030688285828, 0.5229344964027405, 0.5212878584861755, 0.5196585059165955, 0.5178520083427429, 0.5162718892097473, 0.5147122740745544, 0.5135249495506287, 0.5120074152946472, 0.5105099081993103, 0.5090354084968567, 0.5075826048851013, 0.5061498284339905, 0.5047374367713928, 0.5033466219902039, 0.5019757151603699, 0.5006255507469177, 0.49929529428482056, 0.49798470735549927, 0.4966948628425598], forces=[(-0.015380305238068104, -0.007131528574973345, -0.003923308569937944), (-0.0035101009998470545, -0.0003089715028181672, 0.01197331864386797), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008076394908130169, 0.005304089281708002, -0.03847074881196022), (-0.00978772435337305, 6.739903619745746e-05, 0.02286507561802864), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0379345528781414, -0.05435077100992203, -0.07920415699481964), (0.0026407423429191113, 0.03347862884402275, -0.02832191064953804), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0017157059628516436, -0.007667472120374441, -0.004944042302668095), (-0.012037167325615883, -0.000673026661388576, 0.011333589442074299), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0017011503223329782, -0.007710693404078484, -0.014142018742859364), (-0.013911830261349678, -0.003314695553854108, 0.015351302921772003), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0029308295343071222, -0.004569684155285358, -0.021107599139213562), (-0.010857190936803818, -0.018644487485289574, 0.007721676491200924), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007960543967783451, -0.007768501993268728, 0.006476833019405603), (0.035621482878923416, -0.043974488973617554, 0.04128976911306381), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0021396123338490725, -0.014131292700767517, 0.004168270621448755), (-0.024127207696437836, -0.00010658802784746513, 0.007943660952150822), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00825592316687107, 0.005785647314041853, 0.011193600483238697), (0.08026805520057678, 0.023460628464818, 0.038577061146497726), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.1486819088459015, 0.03602772206068039, -0.13042517006397247), (0.27627015113830566, 0.18668906390666962, -0.09176411479711533)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=53, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.7896485328674316, 0.010527921840548515, 16.891498565673828), (1.4121378660202026, 1.4099830389022827, 18.85780143737793), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7918541431427, 2.8102235794067383, 16.890195846557617), (1.405523419380188, 4.227421760559082, 18.854562759399414), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8001203536987305, 5.642152309417725, 16.899860382080078), (1.4091696739196777, 7.047973155975342, 18.86319351196289), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.632621765136719, -0.006514898966997862, 16.920438766479492), (4.201927185058594, 1.4121893644332886, 18.850175857543945), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.627927780151367, 2.815721035003662, 16.911170959472656), (4.152444839477539, 4.1958723068237305, 18.80767250061035), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.644401550292969, 5.646121501922607, 16.95589256286621), (4.153148651123047, 7.093297481536865, 18.80962562561035), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.422471046447754, -0.0213419608771801, 16.961843490600586), (7.018040657043457, 1.404312014579773, 18.88054656982422), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.425936698913574, 2.8273699283599854, 16.945945739746094), (7.068072319030762, 4.1013641357421875, 18.924104690551758), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.437789916992188, 5.643685817718506, 16.94395637512207), (7.083362102508545, 7.1754279136657715, 18.98578643798828), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (6.605105876922607, 5.60150146484375, 20.371294021606445), (7.222336769104004, 5.528610706329346, 21.13063621520996)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5441247820854187, energy_trajectory=[1.8283593654632568, 1.8065862655639648, 1.7910966873168945, 1.7764005661010742, 1.762058973312378, 1.7478139400482178, 1.733616590499878, 1.7195770740509033, 1.706261157989502, 1.6933608055114746, 1.6811919212341309, 1.669464111328125, 1.6577491760253906, 1.6469368934631348, 1.6364169120788574, 1.6261751651763916, 1.616692304611206, 1.6070489883422852, 1.5976722240447998, 1.5885004997253418, 1.5795273780822754, 1.5708460807800293, 1.562401533126831, 1.554140329360962, 1.5460634231567383, 1.5381605625152588, 1.53041672706604, 1.5228266716003418, 1.5153779983520508, 1.5080633163452148, 1.5008773803710938, 1.4938092231750488, 1.4868528842926025, 1.480074405670166, 1.4733226299285889, 1.4666624069213867, 1.4600913524627686, 1.4536070823669434, 1.4471485614776611, 1.4408149719238281, 1.4344255924224854, 1.42822265625, 1.42207932472229, 1.415989637374878, 1.4099509716033936, 1.403958797454834, 1.398012638092041, 1.392108678817749, 1.3852734565734863, 1.3794524669647217, 1.3736679553985596, 1.3679172992706299, 1.3622756004333496, 1.3565843105316162, 1.350919485092163, 1.3452796936035156, 1.3395612239837646, 1.3339686393737793, 1.3284022808074951, 1.3228611946105957, 1.3173449039459229, 1.3118512630462646, 1.3063788414001465, 1.3009281158447266, 1.2952079772949219, 1.2897894382476807, 1.2843897342681885, 1.2790112495422363, 1.2734365463256836, 1.268099308013916, 1.2627785205841064, 1.2574748992919922, 1.252187728881836, 1.246917724609375, 1.2416622638702393, 1.2364239692687988, 1.2311973571777344, 1.2259883880615234, 1.2207903861999512, 1.215606927871704, 1.210434913635254, 1.2052772045135498, 1.2001311779022217, 1.1949999332427979, 1.190014362335205, 1.184915542602539, 1.1799335479736328, 1.1748597621917725, 1.1697978973388672, 1.1647474765777588, 1.1597094535827637, 1.15468430519104, 1.1496710777282715, 1.1446702480316162, 1.1396846771240234, 1.1347074508666992, 1.1297428607940674, 1.1247899532318115, 1.1198492050170898, 1.1149206161499023, 1.1100034713745117, 1.1051006317138672, 1.1002085208892822, 1.0953290462493896, 1.0904591083526611, 1.0856032371520996, 1.080683946609497, 1.0758531093597412, 1.071033239364624, 1.0662274360656738, 1.0614345073699951, 1.0566506385803223, 1.051882028579712, 1.0471251010894775, 1.0423805713653564, 1.0376479625701904, 1.0331594944000244, 1.0284514427185059, 1.0237560272216797, 1.0190739631652832, 1.0143358707427979, 1.0096805095672607, 1.0050396919250488, 1.000410556793213, 0.995794951915741, 0.9911903738975525, 0.9866006970405579, 0.9820243716239929, 0.9774631857872009, 0.9729166626930237, 0.9683859944343567, 0.963869035243988, 0.9593679308891296, 0.9548831582069397, 0.9504243731498718, 0.9458125233650208, 0.941383421421051, 0.9369717240333557, 0.9325786232948303, 0.9282047152519226, 0.9238501191139221, 0.9195179343223572, 0.9152052998542786, 0.9109106659889221, 0.9065083861351013, 0.9022570252418518, 0.8980283141136169, 0.8938211798667908, 0.8896359801292419, 0.8854741454124451, 0.8813342452049255, 0.8772192597389221, 0.8731240630149841, 0.8690542578697205, 0.8650079369544983, 0.8609837889671326, 0.8569735884666443, 0.8529936671257019, 0.8490381836891174, 0.8451052308082581, 0.8411964774131775, 0.8373108506202698, 0.8334495425224304, 0.8296114802360535, 0.8257977366447449, 0.8220071196556091, 0.8182410597801208, 0.8144991993904114, 0.810782253742218, 0.8070904612541199, 0.8034225106239319, 0.7997807860374451, 0.7961660027503967, 0.792578399181366, 0.7890142798423767, 0.7854157090187073, 0.7819063067436218, 0.7784256339073181, 0.7749715447425842, 0.7715461850166321, 0.7681490778923035, 0.7647802233695984, 0.7614410519599915, 0.7581329941749573, 0.7548510432243347, 0.7515599131584167, 0.7483400702476501, 0.7451501488685608, 0.7419915795326233, 0.7388637661933899, 0.7357645630836487, 0.7326977849006653, 0.729632556438446, 0.7266228795051575, 0.7236421704292297, 0.7207136750221252, 0.7185872197151184, 0.7157091498374939, 0.7128989100456238, 0.710062563419342, 0.7072741389274597, 0.7045156359672546, 0.7017859816551208, 0.6990883946418762, 0.6964195370674133, 0.6937800049781799, 0.6911693215370178, 0.6885871291160583, 0.6860348582267761, 0.6835090517997742, 0.6810138821601868, 0.6785444617271423, 0.6761037707328796, 0.6736903786659241, 0.6713055968284607, 0.6689137816429138, 0.6665800213813782, 0.664272129535675, 0.6617758870124817, 0.6595194935798645, 0.6572876572608948, 0.6550807356834412, 0.6528978943824768, 0.6507379412651062, 0.6486011147499084, 0.6464868187904358, 0.6442922949790955, 0.6422243714332581, 0.6401776671409607, 0.6381524205207825, 0.6361487507820129, 0.6341407895088196, 0.6321790814399719, 0.6303487420082092, 0.6284285187721252, 0.6265272498130798, 0.6246485114097595, 0.622790515422821, 0.620951235294342, 0.6191325783729553, 0.6173365712165833, 0.61567622423172, 0.6139176487922668, 0.6121792197227478, 0.6104641556739807, 0.608768880367279, 0.6070944666862488, 0.6054412722587585, 0.6038098931312561, 0.6022122502326965, 0.6006222367286682, 0.5990505814552307, 0.597500741481781, 0.5959733128547668, 0.5943478941917419, 0.5928635001182556, 0.5913969874382019, 0.5899491906166077, 0.5885211825370789, 0.5871120095252991, 0.5857271552085876, 0.5843494534492493, 0.5829957127571106, 0.5818209052085876, 0.5804997086524963, 0.5792030692100525, 0.5779356360435486, 0.5766670107841492, 0.5754141211509705, 0.5741776823997498, 0.5727996230125427, 0.5715946555137634, 0.5704048275947571, 0.5693749785423279, 0.5682134032249451, 0.567066490650177, 0.5659642815589905, 0.56535404920578, 0.564249575138092, 0.5631601214408875, 0.5620858073234558, 0.561024010181427, 0.5601403117179871, 0.5591040253639221, 0.5580804944038391, 0.5570703148841858, 0.5560718178749084, 0.555086076259613, 0.5541126132011414, 0.5531514286994934, 0.5522006154060364, 0.5512626767158508, 0.5503342747688293, 0.549419105052948, 0.5485135912895203, 0.5476210713386536, 0.5467389225959778, 0.5458690524101257, 0.5449736714363098, 0.5441247820854187], forces=[(0.00502467667683959, -0.006014562677592039, -0.010624265298247337), (-0.013138921931385994, -0.005479924846440554, 0.020298896357417107), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.000519783585332334, -0.0011934216599911451, -0.017962083220481873), (-0.008971593342721462, -0.007756766863167286, 0.012114395387470722), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0028870508540421724, 0.002405701670795679, -0.004831428173929453), (-0.00942154973745346, 0.0034610081929713488, 0.0154754389077425), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007916281931102276, -0.013706454075872898, 0.014326343312859535), (-0.015075517818331718, -0.004442339763045311, 0.010432739742100239), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.018394561484456062, 0.01999119110405445, 0.013778754509985447), (0.06035479158163071, 0.035329755395650864, 0.046301864087581635), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02179955504834652, -0.006125968415290117, 0.026907457038760185), (0.08644629269838333, -0.05612235516309738, 0.06567523628473282), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.029926257207989693, 0.028622889891266823, -0.06070440262556076), (-0.005590901244431734, -0.011485076509416103, 0.03112824074923992), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008554229512810707, -0.01219169981777668, -0.028665443882346153), (-0.0087074413895607, 0.09066212177276611, 0.16233573853969574), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.021245542913675308, -0.005564588122069836, 0.016643648967146873), (-0.031076615676283836, -0.08777987211942673, 0.02412344142794609), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.15788017213344574, -0.027137640863656998, 0.11752063781023026), (0.13598042726516724, 0.11141244322061539, -0.15497244894504547)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=54, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8263494968414307, -0.00725774047896266, 16.899188995361328), (1.4112329483032227, 1.3782885074615479, 18.827926635742188), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.83512544631958, 2.841433525085449, 16.962541580200195), (1.3379043340682983, 4.266244411468506, 19.027204513549805), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.837099075317383, 5.613290786743164, 16.957365036010742), (1.4258606433868408, 7.074312210083008, 18.846681594848633), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.6603007316589355, -0.0115679195150733, 16.885393142700195), (4.265736103057861, 1.3611432313919067, 18.81289291381836), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.656252861022949, 2.8276238441467285, 16.925092697143555), (4.434309959411621, 4.229640483856201, 18.97311019897461), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.654043674468994, 5.614814281463623, 16.932214736938477), (4.262119770050049, 7.061324596405029, 18.82865333557129), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.465639114379883, -0.008433652110397816, 16.892398834228516), (7.069796085357666, 1.3868763446807861, 18.841083526611328), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.499212265014648, 2.833198308944702, 16.93797492980957), (7.112143516540527, 4.215516090393066, 18.877384185791016), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.501092910766602, 5.619003772735596, 16.946773529052734), (7.071737766265869, 7.063483715057373, 18.844024658203125), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (2.9345057010650635, 4.111865520477295, 20.453388214111328), (2.9705650806427, 4.924619197845459, 21.00506019592285)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.44097453355789185, energy_trajectory=[1.2626662254333496, 1.249401330947876, 1.2383239269256592, 1.2277436256408691, 1.2176177501678467, 1.207965612411499, 1.198575496673584, 1.1894464492797852, 1.1805827617645264, 1.1720702648162842, 1.163757562637329, 1.1555206775665283, 1.147237777709961, 1.1392581462860107, 1.1314904689788818, 1.123835563659668, 1.1166751384735107, 1.1094279289245605, 1.1020941734313965, 1.0949554443359375, 1.0879228115081787, 1.0811288356781006, 1.0742859840393066, 1.0675389766693115, 1.0608749389648438, 1.0543735027313232, 1.0478742122650146, 1.0414574146270752, 1.0351190567016602, 1.0288379192352295, 1.0226402282714844, 1.016514778137207, 1.0103871822357178, 1.0043671131134033, 0.9982907176017761, 0.9924769997596741, 0.9866833090782166, 0.9809535145759583, 0.9752876162528992, 0.9696268439292908, 0.9641273617744446, 0.9586071372032166, 0.9531741738319397, 0.9477980732917786, 0.9424795508384705, 0.9371694922447205, 0.931962788105011, 0.9268090128898621, 0.9217095971107483, 0.9165787100791931, 0.9103222489356995, 0.9053717255592346, 0.9004729390144348, 0.8956194519996643, 0.8907338976860046, 0.8859757781028748, 0.8812659382820129, 0.8766011595726013, 0.8719796538352966, 0.8674047589302063, 0.862870991230011, 0.8583806157112122, 0.8539347052574158, 0.8495284914970398, 0.8451654314994812, 0.840802013874054, 0.8365173935890198, 0.8322734236717224, 0.8280670046806335, 0.8238998055458069, 0.8197712302207947, 0.815678060054779, 0.8116225600242615, 0.8077283501625061, 0.8037464022636414, 0.7997148633003235, 0.7958064675331116, 0.7919347882270813, 0.7881003022193909, 0.784301221370697, 0.780540406703949, 0.7768164277076721, 0.773129403591156, 0.7694798111915588, 0.7657944560050964, 0.7622162699699402, 0.7586753964424133, 0.7551723122596741, 0.7517330050468445, 0.7481979727745056, 0.7448086142539978, 0.7414553761482239, 0.7381370663642883, 0.7348536849021912, 0.7316061854362488, 0.7283926606178284, 0.7252114415168762, 0.7220637202262878, 0.7189483046531677, 0.715865433216095, 0.71281498670578, 0.7097950577735901, 0.7068050503730774, 0.7040280699729919, 0.7012017369270325, 0.6982943415641785, 0.6954184174537659, 0.692571222782135, 0.6897522807121277, 0.6869636178016663, 0.6842014193534851, 0.681468665599823, 0.6787624955177307, 0.6760849356651306, 0.673422634601593, 0.6708013415336609, 0.6682077050209045, 0.6656391024589539, 0.6630957722663879, 0.660578191280365, 0.658086359500885, 0.6556199193000793, 0.6531776785850525, 0.6507601141929626, 0.648367702960968, 0.6458622813224792, 0.643558919429779, 0.6412385106086731, 0.638942301273346, 0.636668860912323, 0.6344189047813416, 0.6321924328804016, 0.6299872994422913, 0.6278066039085388, 0.6255814433097839, 0.6234893202781677, 0.6213750243186951, 0.6192830204963684, 0.6172117590904236, 0.6152133345603943, 0.6131828427314758, 0.6111724972724915, 0.6091811060905457, 0.6072096228599548, 0.6053141951560974, 0.6033807396888733, 0.6014664769172668, 0.5995697379112244, 0.5976938605308533, 0.5959057211875916, 0.5940647721290588, 0.592242419719696, 0.5904363989830017, 0.5886504054069519, 0.5865983366966248, 0.584846556186676, 0.5832610726356506, 0.581540048122406, 0.5798373818397522, 0.5781503319740295, 0.5764802098274231, 0.5748263001441956, 0.5731882452964783, 0.5715659260749817, 0.5699583888053894, 0.568365752696991, 0.5667869448661804, 0.5652232766151428, 0.5636737942695618, 0.5621386170387268, 0.5606158375740051, 0.5591074824333191, 0.5576106905937195, 0.5561274886131287, 0.5546559691429138, 0.5531987547874451, 0.5517274737358093, 0.5502945780754089, 0.5488731265068054, 0.5473068356513977, 0.5459081530570984, 0.5445206761360168, 0.543143093585968, 0.5417769551277161, 0.5404217839241028, 0.5390749573707581, 0.5377381443977356, 0.5364121794700623, 0.5350969433784485, 0.5337912440299988, 0.5324942469596863, 0.5312075018882751, 0.5299302935600281, 0.5286632180213928, 0.5274055600166321, 0.526155412197113, 0.5249150395393372, 0.5236855149269104, 0.5224629044532776, 0.5212501883506775, 0.5200459361076355, 0.5188514590263367, 0.5176644921302795, 0.5164870619773865, 0.5153184533119202, 0.5141584277153015, 0.5130072236061096, 0.5118650794029236, 0.5107312798500061, 0.509605348110199, 0.5084895491600037, 0.5075109601020813, 0.5062437653541565, 0.5051526427268982, 0.5040696263313293, 0.5029945969581604, 0.5016748309135437, 0.5006173253059387, 0.49956732988357544, 0.49850744009017944, 0.4973883032798767, 0.49636203050613403, 0.4953414797782898, 0.4943313002586365, 0.49332767724990845, 0.492331326007843, 0.49134498834609985, 0.49036580324172974, 0.4893947243690491, 0.4884306788444519, 0.48747581243515015, 0.48652881383895874, 0.4848042130470276, 0.48387497663497925, 0.48295289278030396, 0.48203951120376587, 0.4811345934867859, 0.4803239703178406, 0.4794366955757141, 0.4785568118095398, 0.47768527269363403, 0.4768214821815491, 0.47596603631973267, 0.4753541350364685, 0.4745153784751892, 0.4736853241920471, 0.4728625416755676, 0.47205954790115356, 0.4712525010108948, 0.4704548716545105, 0.46966391801834106, 0.4688815474510193, 0.4681088328361511, 0.4673425555229187, 0.46688979864120483, 0.466142475605011, 0.4654023051261902, 0.4646715521812439, 0.4639483094215393, 0.46323317289352417, 0.4625263810157776, 0.4618259072303772, 0.46113520860671997, 0.4604516625404358, 0.45977598428726196, 0.45917803049087524, 0.45851844549179077, 0.45786577463150024, 0.4572210907936096, 0.4565841555595398, 0.4559552073478699, 0.4553341269493103, 0.4547209143638611, 0.45436936616897583, 0.4537730813026428, 0.45318442583084106, 0.4526016116142273, 0.4520266652107239, 0.4511694312095642, 0.45060890913009644, 0.45005685091018677, 0.4495125412940979, 0.448974072933197, 0.44844335317611694, 0.4479193091392517, 0.4474039673805237, 0.44689327478408813, 0.44639116525650024, 0.44589585065841675, 0.44540780782699585, 0.444926917552948, 0.44445258378982544, 0.4439855217933655, 0.443420946598053, 0.4429677128791809, 0.4425216317176819, 0.44208377599716187, 0.44165271520614624, 0.4413936734199524, 0.44097453355789185], forces=[(0.0061070858500897884, 0.003082678886130452, 0.0024296643678098917), (0.012401244603097439, 0.01809040643274784, 0.04894820228219032), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008000435307621956, 0.010861082933843136, 0.006608020048588514), (0.011588183231651783, -0.011621994897723198, -0.08782321959733963), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004780988208949566, -0.0018748887814581394, -0.005942233372479677), (0.0025682272389531136, -0.012602487578988075, 0.03993663564324379), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0038524118717759848, 0.005938930436968803, 0.003643723437562585), (-0.006715772207826376, 0.04759907349944115, 0.07180408388376236), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003811616450548172, 0.002392169553786516, 0.009050898253917694), (-0.14193394780158997, 0.040839653462171555, 0.05531958490610123), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.017474055290222168, 0.02400030568242073, -0.014168789610266685), (0.0015182646457105875, -0.008544500917196274, 0.057249344885349274), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009287426248192787, 0.0028575905598700047, 0.0023281362373381853), (0.0012514465488493443, 0.0011606481857597828, 0.0378795750439167), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01443762332201004, -0.01177953276783228, -0.02351018786430359), (-0.041300512850284576, 0.0024477136321365833, 0.04002142697572708), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015144288539886475, 0.015494288876652718, -0.02923157997429371), (0.002488764701411128, -0.0059030079282820225, 0.03622601553797722), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.1095966249704361, 0.031139260157942772, 0.12692703306674957), (-0.05031586065888405, -0.013821452856063843, -0.1941438764333725)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=55, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8329594135284424, -0.0014651635428890586, 16.90375518798828), (1.4268741607666016, 1.4370813369750977, 18.82355499267578), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8176417350769043, 2.8346545696258545, 16.877614974975586), (1.4272034168243408, 4.224093914031982, 18.832439422607422), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.827538013458252, 5.661458969116211, 16.9117431640625), (1.4622981548309326, 7.068883895874023, 18.864503860473633), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.669564723968506, -0.01866200380027294, 16.975173950195312), (4.214860439300537, 1.4530218839645386, 18.80434226989746), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.641377925872803, 2.835609197616577, 16.888986587524414), (4.2247114181518555, 4.229067325592041, 18.830257415771484), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.652300834655762, 5.674042701721191, 16.949378967285156), (4.1810736656188965, 7.051136493682861, 18.920623779296875), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.455318450927734, -0.0012421549763530493, 16.93492317199707), (7.091512203216553, 1.5002925395965576, 18.80914306640625), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.472987174987793, 2.8477096557617188, 16.879426956176758), (7.052799701690674, 4.214176654815674, 18.854036331176758), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.434540748596191, 5.68649959564209, 16.95986557006836), (7.2574005126953125, 6.924682140350342, 19.051708221435547), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (6.066650867462158, 7.524167537689209, 20.591596603393555), (6.235012531280518, 6.987379550933838, 21.398120880126953)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.7842479348182678, energy_trajectory=[1.4339275360107422, 1.4208736419677734, 1.4102058410644531, 1.3993299007415771, 1.3890345096588135, 1.378843069076538, 1.3690555095672607, 1.359574794769287, 1.3503999710083008, 1.3414416313171387, 1.3329284191131592, 1.324272632598877, 1.315868854522705, 1.3076059818267822, 1.2993686199188232, 1.2913973331451416, 1.2837340831756592, 1.2761123180389404, 1.2687809467315674, 1.2614171504974365, 1.2542264461517334, 1.2472898960113525, 1.2403287887573242, 1.2334997653961182, 1.22676420211792, 1.2201340198516846, 1.2135846614837646, 1.2072851657867432, 1.2009766101837158, 1.1947736740112305, 1.1886744499206543, 1.1827232837677002, 1.1768321990966797, 1.1709744930267334, 1.1652870178222656, 1.159703254699707, 1.154149055480957, 1.1487324237823486, 1.1434593200683594, 1.138286828994751, 1.1333446502685547, 1.1283938884735107, 1.123544692993164, 1.1188783645629883, 1.1141798496246338, 1.1096508502960205, 1.105046033859253, 1.100780963897705, 1.0965094566345215, 1.092395305633545, 1.0883820056915283, 1.084364891052246, 1.0805606842041016, 1.0768539905548096, 1.073286771774292, 1.0696332454681396, 1.066213846206665, 1.0629053115844727, 1.0599570274353027, 1.0568068027496338, 1.053802251815796, 1.0508744716644287, 1.0480399131774902, 1.0452992916107178, 1.0426523685455322, 1.0400974750518799, 1.0376861095428467, 1.0353178977966309, 1.0330421924591064, 1.030857801437378, 1.0287654399871826, 1.0267624855041504, 1.0248486995697021, 1.0230238437652588, 1.021284580230713, 1.0196292400360107, 1.0180559158325195, 1.0165598392486572, 1.0151383876800537, 1.013887643814087, 1.0125982761383057, 1.0113677978515625, 1.0101878643035889, 1.0090546607971191, 1.0079615116119385, 1.0068113803863525, 1.0058748722076416, 1.004870891571045, 1.0038869380950928, 1.0029211044311523, 1.0018787384033203, 1.001032829284668, 1.0001065731048584, 0.9991002678871155, 0.998248279094696, 0.9972619414329529, 0.9963791966438293, 0.9955056309700012, 0.994644820690155, 0.9937956929206848, 0.9929582476615906, 0.9921315312385559, 0.9913172125816345, 0.9905139803886414, 0.9897206425666809, 0.9889366030693054, 0.9881593585014343, 0.987389862537384, 0.9866252541542053, 0.9858660101890564, 0.985085666179657, 0.9843412041664124, 0.9835967421531677, 0.9826957583427429, 0.9819485545158386, 0.9811013340950012, 0.9806360602378845, 0.9798833727836609, 0.9791273474693298, 0.9783666729927063, 0.9776027798652649, 0.9768343567848206, 0.9760600924491882, 0.9753029942512512, 0.9745411276817322, 0.9737735390663147, 0.973002016544342, 0.9722252488136292, 0.9714433550834656, 0.97065669298172, 0.9698392748832703, 0.9690414071083069, 0.9682378172874451, 0.9674304127693176, 0.9667637944221497, 0.9659479260444641, 0.9651262164115906, 0.964299738407135, 0.9634671807289124, 0.9628252387046814, 0.9619800448417664, 0.9611286520957947, 0.960271418094635, 0.9594077467918396, 0.9585508704185486, 0.9576699137687683, 0.956781804561615, 0.9558864235877991, 0.954982578754425, 0.9535784125328064, 0.9526527523994446, 0.9517194628715515, 0.9507761597633362, 0.9498251080513, 0.9488640427589417, 0.9478943943977356, 0.9469146132469177, 0.9459262490272522, 0.9449272751808167, 0.9439188838005066, 0.9429002404212952, 0.9418718218803406, 0.9408348202705383, 0.9397886395454407, 0.9387336373329163, 0.9376706480979919, 0.9365994334220886, 0.9355207085609436, 0.9344359040260315, 0.9333439469337463, 0.9322451949119568, 0.9311426281929016, 0.9300345778465271, 0.9299805760383606, 0.9288660883903503, 0.9277485013008118, 0.9266274571418762, 0.9251037240028381, 0.9239843487739563, 0.9228641390800476, 0.9217424988746643, 0.9206210970878601, 0.9194996953010559, 0.918379008769989, 0.917259156703949, 0.9161407351493835, 0.9150243401527405, 0.9139092564582825, 0.9127964377403259, 0.9116857647895813, 0.9105772376060486, 0.9094722867012024, 0.9083694815635681, 0.9072678685188293, 0.9061700701713562, 0.9050746560096741, 0.90403813123703, 0.9029466509819031, 0.9018589854240417, 0.9007728695869446, 0.8996891379356384, 0.8986075520515442, 0.897528350353241, 0.8964504599571228, 0.8953750729560852, 0.8943013548851013, 0.8932293057441711, 0.8919238448143005, 0.8908324837684631, 0.889762818813324, 0.8886957764625549, 0.8876219391822815, 0.886556088924408, 0.8854904770851135, 0.88442462682724, 0.883358895778656, 0.8822932839393616, 0.8812263607978821, 0.8802469372749329, 0.8791800141334534, 0.8781129717826843, 0.8770430684089661, 0.8761023879051208, 0.8750278353691101, 0.8739525675773621, 0.8729886412620544, 0.8719081282615662, 0.8708245158195496, 0.8697380423545837, 0.8685901761054993, 0.867504894733429, 0.8664171099662781, 0.8653249144554138, 0.864230215549469, 0.8631306290626526, 0.8620280623435974, 0.8609204888343811, 0.8598088622093201, 0.858692467212677, 0.8575714230537415, 0.8564891219139099, 0.8553579449653625, 0.8539995551109314, 0.8528595566749573, 0.851715624332428, 0.8505663275718689, 0.8494119048118591, 0.8482527136802673, 0.8470882773399353, 0.8459195494651794, 0.8447642922401428, 0.8435820937156677, 0.8423954844474792, 0.8412045836448669, 0.8400089144706726, 0.8388084769248962, 0.8376036286354065, 0.8363956809043884, 0.8351834416389465, 0.8339607119560242, 0.8327416777610779, 0.8315191864967346, 0.8302931189537048, 0.8290631175041199, 0.8278291821479797, 0.8265926241874695, 0.8253511786460876, 0.8241079449653625, 0.8228610157966614, 0.8216102719306946, 0.8203572630882263, 0.8191611170768738, 0.8179029822349548, 0.8166412711143494, 0.8156296610832214, 0.8143607974052429, 0.8130884766578674, 0.8117675185203552, 0.8104897141456604, 0.8092090487480164, 0.8079258799552917, 0.8066406846046448, 0.8053538203239441, 0.8040642142295837, 0.8040369153022766, 0.8027316927909851, 0.8014214634895325, 0.8001098036766052, 0.7987945675849915, 0.7975937724113464, 0.7962725758552551, 0.7949479222297668, 0.7936181426048279, 0.7922855019569397, 0.7909485697746277, 0.7896073460578918, 0.7882631421089172, 0.786961019039154, 0.7856065630912781, 0.7842479348182678], forces=[(0.02345508337020874, -0.010023987852036953, 0.04898536950349808), (-0.004647967405617237, -0.006518436595797539, 0.07730250805616379), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00753958011046052, -0.005099083762615919, 0.03223976865410805), (-0.0024463352747261524, 0.006717852782458067, 0.0689043253660202), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.03087102621793747, 0.010925413109362125, 0.05156443640589714), (0.011203511618077755, 0.002347939880564809, 0.0788843184709549), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005555902142077684, -0.007357716094702482, -0.01031804271042347), (0.0341942235827446, -0.024786092340946198, 0.09598753601312637), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008401860482990742, -0.013012150302529335, 0.03286398574709892), (0.014466600492596626, -0.00030799489468336105, 0.07512925565242767), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004230192396789789, -0.012171158567070961, 0.021000634878873825), (0.07774284482002258, 0.005615892354398966, 0.16427014768123627), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.018304556608200073, -0.011092051863670349, 0.015547923743724823), (-0.027066722512245178, -0.1233300045132637, 0.09186562895774841), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0013357345014810562, -0.022841207683086395, 0.03245081007480621), (0.016732923686504364, -0.0004141079552937299, 0.05196119844913483), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.055529478937387466, -0.0423315204679966, -0.024730117991566658), (-0.05206434428691864, 0.10036879777908325, -0.07306214421987534), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.1724722981452942, -0.014426203444600105, -0.03217523172497749), (-0.11813575774431229, -0.13519443571567535, -0.22545182704925537)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=56, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8012967109680176, -0.0017347931861877441, 16.905481338500977), (1.378356695175171, 1.3878471851348877, 18.861021041870117), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.837609052658081, 2.8412466049194336, 16.958362579345703), (1.3743356466293335, 4.217206001281738, 18.863910675048828), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.834956169128418, 5.612931728363037, 16.960010528564453), (1.3821232318878174, 7.052298545837402, 18.855892181396484), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.633561611175537, -0.001090505043976009, 16.908292770385742), (4.205514430999756, 1.3765907287597656, 18.855276107788086), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.611641883850098, 2.8403005599975586, 16.960968017578125), (4.134477138519287, 4.1613874435424805, 19.100444793701172), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.619659423828125, 5.623471736907959, 16.95207405090332), (4.2079596519470215, 7.07232141494751, 18.835893630981445), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.453643798828125, -0.004347453359514475, 16.909008026123047), (7.038818836212158, 1.3903907537460327, 18.854562759399414), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.45848274230957, 2.8099119663238525, 16.910070419311523), (7.080563545227051, 4.220266819000244, 18.847408294677734), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.458596229553223, 5.638974189758301, 16.91166114807129), (7.041538238525391, 7.055850028991699, 18.849273681640625), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.592146396636963, 4.39325475692749, 21.020551681518555), (4.358281135559082, 3.5626964569091797, 21.486042022705078)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8589658141136169, energy_trajectory=[1.1737771034240723, 1.1613450050354004, 1.1523611545562744, 1.1436662673950195, 1.1359028816223145, 1.127511978149414, 1.1195380687713623, 1.1123099327087402, 1.104452133178711, 1.096475601196289, 1.0885910987854004, 1.0811378955841064, 1.0734002590179443, 1.0659146308898926, 1.058401346206665, 1.0508337020874023, 1.0435521602630615, 1.0363709926605225, 1.029818058013916, 1.0228030681610107, 1.0159344673156738, 1.0091781616210938, 1.0027172565460205, 0.9962013363838196, 0.9897516369819641, 0.983511745929718, 0.9775287508964539, 0.971805989742279, 0.9664198756217957, 0.9615079760551453, 0.95663982629776, 0.9520758986473083, 0.947615921497345, 0.9433485865592957, 0.9392921328544617, 0.9355571866035461, 0.932239830493927, 0.9288813471794128, 0.9256848692893982, 0.9226451516151428, 0.9196750521659851, 0.916933000087738, 0.9143076539039612, 0.9118301272392273, 0.9095368981361389, 0.9073081612586975, 0.9052034020423889, 0.9032161831855774, 0.9013325572013855, 0.8995833992958069, 0.8980116248130798, 0.8964062333106995, 0.8949903845787048, 0.8937917351722717, 0.8925705552101135, 0.891395628452301, 0.8903513550758362, 0.8893843293190002, 0.8884866833686829, 0.8876541256904602, 0.8868764042854309, 0.8861483931541443, 0.8854625821113586, 0.8848164677619934, 0.8843391537666321, 0.8837510943412781, 0.8832589983940125, 0.882716715335846, 0.8821949362754822, 0.8817669749259949, 0.8812814354896545, 0.8808154463768005, 0.8803667426109314, 0.8799354434013367, 0.8795221447944641, 0.8791235089302063, 0.8787433505058289, 0.8783809542655945, 0.8780336976051331, 0.8778471350669861, 0.8775340914726257, 0.877237856388092, 0.8769659399986267, 0.8767165541648865, 0.8764873147010803, 0.8766929507255554, 0.8766298890113831, 0.876448929309845, 0.8762832283973694, 0.8759533762931824, 0.8758085370063782, 0.8756718039512634, 0.8755437731742859, 0.8756648898124695, 0.8755363821983337, 0.8753519654273987, 0.8752477765083313, 0.8751477599143982, 0.8750352263450623, 0.8747562766075134, 0.874666154384613, 0.8745792508125305, 0.8744894862174988, 0.8744023442268372, 0.8743129372596741, 0.8742223381996155, 0.8741303086280823, 0.8740755915641785, 0.8739224076271057, 0.8738152384757996, 0.8737191557884216, 0.8736023306846619, 0.873480498790741, 0.8733099102973938, 0.8731780648231506, 0.873041570186615, 0.8729014992713928, 0.8727571368217468, 0.8726106286048889, 0.8724624514579773, 0.8723130822181702, 0.8721632361412048, 0.8720108866691589, 0.8718615174293518, 0.8717102408409119, 0.8715608716011047, 0.8713796734809875, 0.8712337613105774, 0.8710915446281433, 0.8705716729164124, 0.8704350590705872, 0.8703013062477112, 0.8701714873313904, 0.8700448870658875, 0.8699193596839905, 0.8697986006736755, 0.8690584301948547, 0.8690631985664368, 0.868986189365387, 0.8688746094703674, 0.8687694668769836, 0.8686650395393372, 0.868565022945404, 0.8684665560722351, 0.8683717846870422, 0.8682815432548523, 0.8682586550712585, 0.8681772351264954, 0.8679879307746887, 0.8678397536277771, 0.8677656054496765, 0.8676946759223938, 0.8676254153251648, 0.8675573468208313, 0.867492139339447, 0.8674288392066956, 0.8673679232597351, 0.8673093914985657, 0.867252767086029, 0.8671973347663879, 0.8671433329582214, 0.8670910000801086, 0.8670398592948914, 0.8669890761375427, 0.8669388890266418, 0.8668920397758484, 0.866845428943634, 0.8668004870414734, 0.86675626039505, 0.866736114025116, 0.8666972517967224, 0.8666537404060364, 0.8666108250617981, 0.8665686249732971, 0.8665266633033752, 0.8664842247962952, 0.8664421439170837, 0.8665145039558411, 0.8664757609367371, 0.8664358258247375, 0.8663942217826843, 0.8663536906242371, 0.866311252117157, 0.8662695288658142, 0.8662275671958923, 0.8661829829216003, 0.8661878705024719, 0.8661420941352844, 0.8660967946052551, 0.8660498261451721, 0.8660007119178772, 0.865950882434845, 0.8657988905906677, 0.8657894730567932, 0.8657330870628357, 0.8656752705574036, 0.8656168580055237, 0.8655579686164856, 0.8654963374137878, 0.8654366135597229, 0.8653749823570251, 0.8653128743171692, 0.8652500510215759, 0.8654741644859314, 0.8654102683067322, 0.8653449416160583, 0.8652786612510681, 0.8652116656303406, 0.8651432394981384, 0.8650751709938049, 0.8650079369544983, 0.8648272156715393, 0.8647568821907043, 0.8646848797798157, 0.8646135926246643, 0.8645433783531189, 0.864471971988678, 0.8644012808799744, 0.8643315434455872, 0.8642625212669373, 0.8641945719718933, 0.8641255497932434, 0.8639559149742126, 0.8638892769813538, 0.8638214468955994, 0.8637554049491882, 0.8636894822120667, 0.8637863993644714, 0.8636021018028259, 0.8635374903678894, 0.8632988333702087, 0.8632364869117737, 0.8631735444068909, 0.8631860613822937, 0.8631260991096497, 0.8630676865577698, 0.8630083203315735, 0.8629515767097473, 0.8628943562507629, 0.8628384470939636, 0.8627832531929016, 0.8627288937568665, 0.8626747727394104, 0.8626218438148499, 0.8625699877738953, 0.8625172972679138, 0.8625525832176208, 0.8624996542930603, 0.8624439835548401, 0.862389862537384, 0.862335741519928, 0.8622824549674988, 0.8622278571128845, 0.8621743321418762, 0.8621211647987366, 0.862143337726593, 0.8620890974998474, 0.8620365262031555, 0.8619361519813538, 0.861886203289032, 0.8618339896202087, 0.8616521954536438, 0.8616002202033997, 0.8615497946739197, 0.8614978194236755, 0.8614469170570374, 0.8613969683647156, 0.8613460659980774, 0.8612965941429138, 0.8612452149391174, 0.8611952662467957, 0.860813558101654, 0.8607634902000427, 0.8607130646705627, 0.8606618046760559, 0.8606110215187073, 0.8605590462684631, 0.8605077862739563, 0.860454261302948, 0.8604012131690979, 0.8603453040122986, 0.860291063785553, 0.860237181186676, 0.8601815104484558, 0.8598601222038269, 0.8598026633262634, 0.8597447276115417, 0.859686553478241, 0.8596273064613342, 0.8595677018165588, 0.8595073819160461, 0.8594474196434021, 0.8593880534172058, 0.859327495098114, 0.8592681288719177, 0.8592079281806946, 0.8591470122337341, 0.8590864539146423, 0.8590256571769714, 0.8589658141136169], forces=[(0.012910602614283562, -0.0017337165772914886, -0.0013618831289932132), (0.013433794490993023, 0.005838171113282442, -0.005287736654281616), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007797150872647762, -0.009345526807010174, -0.02936369553208351), (0.0055426605977118015, 0.004867347422987223, 0.005799105390906334), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01045224443078041, 0.004795889835804701, -0.014302532188594341), (0.015641743317246437, 0.006242893636226654, -0.0031195874325931072), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0025507460813969374, 0.00321765523403883, -0.0017879665829241276), (0.010384060442447662, 0.014201397076249123, 0.0077958316542208195), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008463806472718716, 0.007432412356138229, -0.009232943877577782), (-0.001033036969602108, 0.0017351745627820492, -0.011067202314734459), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0006034830585122108, -0.008419109508395195, 0.006816742941737175), (0.015404827892780304, -0.008925956673920155, 0.017386453226208687), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0025625547859817743, 0.0011261114850640297, -0.015619523823261261), (0.012855153530836105, 0.010106814093887806, -0.002421853132545948), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0030344421975314617, 0.006110799498856068, -0.013126228004693985), (-0.008488412946462631, 0.0065576438792049885, 0.008645009249448776), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007438644301146269, 0.0014454041374847293, -0.01142137497663498), (0.009672881104052067, -0.0008904021233320236, 0.0014136735117062926), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007763450499624014, -0.0025345822796225548, 0.0035275365225970745), (-0.010428757406771183, -0.005782644730061293, -0.05188480764627457)])], system_id=&#39;1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;, api_host=&#39;open-catalyst-api.metademolab.com&#39;, ui_url=&#39;https://open-catalyst.metademolab.com/results/1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;)])
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>AdsorbateBindingSites(adsorbate=&#39;*OH&#39;, bulk=Bulk(other_fields={}, src_id=&#39;mp-126&#39;, formula=&#39;Pt&#39;, elements=[&#39;Pt&#39;]), model=&#39;equiformer_v2_31M_s2ef_all_md&#39;, slabs=[AdsorbateSlabRelaxations(slab=Slab(other_fields={}, atoms=Atoms(other_fields={}, cell=((8.463768833067146, 0.0, 5.182563705069405e-16), (-4.231884416533573, 7.3298388211951195, 5.182563705069404e-16), (0.0, 0.0, 34.55319156980987)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78], positions=[(1.4106281388445252, 2.4432796070650378, 16.124822732577936), (-1.4409653513198624e-16, 1.6288530713766924, 11.517730523269954), (1.410628138844525, 0.8144265356883461, 13.821276627923945), (1.4106281388445234, 2.443279607065039, 23.03546104653991), (1.3705266201398682e-15, 1.6288530713766913, 18.428368837231925), (1.410628138844524, 0.8144265356883452, 20.731914941885922), (8.881784197001252e-16, 4.886559214130077, 16.124822732577936), (-1.4106281388445245, 4.072132678441733, 11.517730523269954), (6.661338147750939e-16, 3.257706142753386, 13.821276627923945), (-8.881784197001252e-16, 4.886559214130079, 23.03546104653991), (-1.410628138844523, 4.072132678441731, 18.428368837231925), (-2.220446049250313e-16, 3.2577061427533853, 20.731914941885922), (-1.4106281388445234, 7.329838821195118, 16.124822732577936), (-2.8212562776890486, 6.515412285506772, 11.517730523269954), (-1.4106281388445236, 5.700985749818426, 13.821276627923945), (-1.4106281388445252, 7.3298388211951195, 23.03546104653991), (-2.8212562776890473, 6.5154122855067715, 18.428368837231925), (-1.4106281388445245, 5.700985749818425, 20.731914941885922), (4.231884416533574, 2.4432796070650378, 16.124822732577936), (2.8212562776890486, 1.6288530713766924, 11.517730523269954), (4.231884416533574, 0.8144265356883461, 13.821276627923945), (4.231884416533572, 2.443279607065039, 23.03546104653991), (2.82125627768905, 1.6288530713766913, 18.428368837231925), (4.231884416533573, 0.8144265356883452, 20.731914941885922), (2.8212562776890495, 4.886559214130077, 16.124822732577936), (1.410628138844524, 4.072132678441733, 11.517730523269954), (2.8212562776890495, 3.257706142753386, 13.821276627923945), (2.8212562776890477, 4.886559214130079, 23.03546104653991), (1.4106281388445256, 4.072132678441731, 18.428368837231925), (2.8212562776890486, 3.2577061427533853, 20.731914941885922), (1.4106281388445252, 7.329838821195118, 16.124822732577936), (-1.4409653513198624e-16, 6.515412285506772, 11.517730523269954), (1.410628138844525, 5.700985749818426, 13.821276627923945), (1.4106281388445234, 7.3298388211951195, 23.03546104653991), (1.3705266201398682e-15, 6.5154122855067715, 18.428368837231925), (1.410628138844524, 5.700985749818425, 20.731914941885922), (7.0531406942226225, 2.4432796070650378, 16.124822732577936), (5.642512555378097, 1.6288530713766924, 11.517730523269954), (7.0531406942226225, 0.8144265356883461, 13.821276627923945), (7.053140694222621, 2.443279607065039, 23.03546104653991), (5.642512555378099, 1.6288530713766913, 18.428368837231925), (7.053140694222622, 0.8144265356883452, 20.731914941885922), (5.642512555378098, 4.886559214130077, 16.124822732577936), (4.231884416533573, 4.072132678441733, 11.517730523269954), (5.642512555378098, 3.257706142753386, 13.821276627923945), (5.642512555378096, 4.886559214130079, 23.03546104653991), (4.231884416533575, 4.072132678441731, 18.428368837231925), (5.642512555378097, 3.2577061427533853, 20.731914941885922), (4.231884416533574, 7.329838821195118, 16.124822732577936), (2.8212562776890486, 6.515412285506772, 11.517730523269954), (4.231884416533574, 5.700985749818426, 13.821276627923945), (4.231884416533572, 7.3298388211951195, 23.03546104653991), (2.82125627768905, 6.5154122855067715, 18.428368837231925), (4.231884416533573, 5.700985749818425, 20.731914941885922)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0]), metadata=SlabMetadata(other_fields={}, bulk_src_id=&#39;mp-126&#39;, millers=(1, 1, 1), shift=0.16666666666666677, top=True)), configs=[AdsorbateSlabRelaxationResult(other_fields={}, config_id=0, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3395001888275146, 2.412886381149292, 23.067628860473633), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.01014984305948019, 4.876608848571777, 23.02593994140625), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4703633785247803, 7.282739162445068, 23.06629753112793), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.08051061630249, 2.351602077484131, 22.99588966369629), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.7481601238250732, 4.859569072723389, 23.074962615966797), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3526653051376343, 7.27987813949585, 23.076148986816406), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.963787078857422, 2.3640527725219727, 23.115846633911133), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.525091648101807, 4.849510669708252, 23.1132755279541), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.179110527038574, 7.301637172698975, 23.05725860595703), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (6.099595546722412, 3.5952250957489014, 24.78993797302246), (5.257282257080078, 3.1280155181884766, 25.028297424316406)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.1613647937774658, energy_trajectory=[2.302854537963867, 2.2827985286712646, 2.265467405319214, 2.249330759048462, 2.234173059463501, 2.219881057739258, 2.206352949142456, 2.1937828063964844, 2.1815385818481445, 2.1699178218841553, 2.1587207317352295, 2.147928476333618, 2.1375269889831543, 2.127485990524292, 2.117783308029175, 2.108402967453003, 2.099277973175049, 2.0904388427734375, 2.0818231105804443, 2.0734403133392334, 2.0652780532836914, 2.057321786880493, 2.049666166305542, 2.0420916080474854, 2.034688949584961, 2.027448892593384, 2.0203635692596436, 2.013430118560791, 2.0066871643066406, 2.0000388622283936, 1.9935219287872314, 1.9871351718902588, 1.9808697700500488, 1.9747238159179688, 1.9686880111694336, 1.9627652168273926, 1.956960916519165, 1.9513168334960938, 1.9457664489746094, 1.940354824066162, 1.9347808361053467, 1.929215669631958, 1.9241881370544434, 1.9192569255828857, 1.9144179821014404, 1.909663438796997, 1.9049937725067139, 1.900407314300537, 1.8955726623535156, 1.8911418914794922, 1.8867905139923096, 1.8825182914733887, 1.8783254623413086, 1.8742125034332275, 1.8701763153076172, 1.8662171363830566, 1.8623323440551758, 1.8585190773010254, 1.854773759841919, 1.8510932922363281, 1.847473382949829, 1.8439109325408936, 1.840402603149414, 1.8369429111480713, 1.833528995513916, 1.8301565647125244, 1.8268194198608398, 1.8235225677490234, 1.8202576637268066, 1.8170897960662842, 1.8138811588287354, 1.8106954097747803, 1.8075313568115234, 1.804384469985962, 1.8012526035308838, 1.7981350421905518, 1.7950270175933838, 1.791926383972168, 1.788834571838379, 1.78574538230896, 1.7826621532440186, 1.7795798778533936, 1.7765717506408691, 1.773491382598877, 1.7704098224639893, 1.7673251628875732, 1.764237403869629, 1.7611465454101562, 1.7580530643463135, 1.7548518180847168, 1.751749038696289, 1.7486438751220703, 1.7455332279205322, 1.7423906326293945, 1.7392747402191162, 1.736154556274414, 1.7330322265625, 1.729907512664795, 1.7267804145812988, 1.7236545085906982, 1.7205235958099365, 1.7173917293548584, 1.7142579555511475, 1.7111234664916992, 1.7079861164093018, 1.704845666885376, 1.701704740524292, 1.698564052581787, 1.6954185962677002, 1.6924819946289062, 1.6893248558044434, 1.6861631870269775, 1.6829936504364014, 1.6797394752502441, 1.6766667366027832, 1.6734719276428223, 1.6702659130096436, 1.6670465469360352, 1.6638145446777344, 1.660569667816162, 1.6573102474212646, 1.6540367603302002, 1.650747299194336, 1.6474435329437256, 1.6441235542297363, 1.6407885551452637, 1.6374390125274658, 1.6340737342834473, 1.6306967735290527, 1.6273038387298584, 1.6238970756530762, 1.6205644607543945, 1.617133378982544, 1.6136894226074219, 1.6102375984191895, 1.6067755222320557, 1.603304386138916, 1.5998265743255615, 1.5963399410247803, 1.5926411151885986, 1.588916301727295, 1.5854110717773438, 1.5819034576416016, 1.5783936977386475, 1.5748844146728516, 1.5713739395141602, 1.5678651332855225, 1.5643589496612549, 1.5608546733856201, 1.5573530197143555, 1.5541069507598877, 1.5506153106689453, 1.5471279621124268, 1.5436463356018066, 1.5400562286376953, 1.5365808010101318, 1.5331122875213623, 1.5296485424041748, 1.5261905193328857, 1.522737741470337, 1.519289493560791, 1.5158476829528809, 1.5124096870422363, 1.508976697921753, 1.5055489540100098, 1.502124309539795, 1.4987034797668457, 1.4948468208312988, 1.491440773010254, 1.4880402088165283, 1.4846415519714355, 1.4812462329864502, 1.4778554439544678, 1.47446870803833, 1.471085786819458, 1.467707872390747, 1.46433424949646, 1.4609758853912354, 1.4576137065887451, 1.4542574882507324, 1.4508583545684814, 1.4475126266479492, 1.44417405128479, 1.440842628479004, 1.4375193119049072, 1.4342041015625, 1.430898666381836, 1.4276025295257568, 1.4243183135986328, 1.4210457801818848, 1.4177846908569336, 1.4145379066467285, 1.4113047122955322, 1.4080655574798584, 1.404918909072876, 1.4017353057861328, 1.398566484451294, 1.3954150676727295, 1.3922834396362305, 1.3891692161560059, 1.3860750198364258, 1.3829991817474365, 1.3799419403076172, 1.376904010772705, 1.3740527629852295, 1.3710262775421143, 1.3680520057678223, 1.365095615386963, 1.3621573448181152, 1.359236478805542, 1.3563334941864014, 1.3534464836120605, 1.350576400756836, 1.347722053527832, 1.3448822498321533, 1.3420565128326416, 1.3392448425292969, 1.33644700050354, 1.3336734771728516, 1.3309025764465332, 1.3281428813934326, 1.325394868850708, 1.322659969329834, 1.320021152496338, 1.317310094833374, 1.314610242843628, 1.3119220733642578, 1.3092446327209473, 1.3063163757324219, 1.3036606311798096, 1.3006486892700195, 1.2980117797851562, 1.2953925132751465, 1.2927873134613037, 1.2901954650878906, 1.2876181602478027, 1.2850561141967773, 1.2824172973632812, 1.2798852920532227, 1.2773685455322266, 1.2746760845184326, 1.2721936702728271, 1.2696385383605957, 1.2671890258789062, 1.2647552490234375, 1.2623395919799805, 1.2599389553070068, 1.25722074508667, 1.2548539638519287, 1.2525038719177246, 1.2501702308654785, 1.2480413913726807, 1.245741844177246, 1.2434577941894531, 1.2411913871765137, 1.2389416694641113, 1.2367095947265625, 1.234459400177002, 1.2322723865509033, 1.2301087379455566, 1.2279679775238037, 1.2258493900299072, 1.2237136363983154, 1.22163987159729, 1.2195887565612793, 1.217560052871704, 1.215552568435669, 1.2135767936706543, 1.211613655090332, 1.2096729278564453, 1.2077538967132568, 1.205857276916504, 1.203850507736206, 1.201998233795166, 1.2001686096191406, 1.1983606815338135, 1.1965749263763428, 1.194812536239624, 1.1930882930755615, 1.1913697719573975, 1.189673900604248, 1.187999963760376, 1.186347246170044, 1.1847169399261475, 1.1831080913543701, 1.1814167499542236, 1.1798481941223145, 1.1783006191253662, 1.1767754554748535, 1.1754388809204102, 1.1738545894622803, 1.1723897457122803, 1.1709446907043457, 1.1695194244384766, 1.1681139469146729, 1.1667273044586182, 1.1653592586517334, 1.1640095710754395, 1.1626777648925781, 1.1613647937774658], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.034776050597429276, -0.020214464515447617, -0.001092184567824006), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.025606950744986534, -0.012475240975618362, -0.023073334246873856), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.036140114068984985, -0.013015477918088436, -0.0016181576065719128), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010028687305748463, 0.015618868172168732, 0.0632319375872612), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03319242224097252, -0.030317138880491257, 0.007434682454913855), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04336024448275566, -0.00685843825340271, 0.0053293597884476185), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.07304494082927704, -0.0008099366095848382, 0.01820262521505356), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05069136247038841, -0.03474804386496544, -0.0035596219822764397), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.044591955840587616, -0.016529597342014313, -0.006830163300037384), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.18329115211963654, 0.08325257152318954, -0.0877736434340477), (0.246869295835495, 0.10452140122652054, 0.004370566923171282)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=1, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4571067094802856, 2.4096672534942627, 23.066171646118164), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.042200807482004166, 4.851343154907227, 23.083160400390625), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.385809063911438, 7.278818607330322, 23.061664581298828), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.308312892913818, 2.3133227825164795, 23.074861526489258), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.790576457977295, 4.897964000701904, 23.006507873535156), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4584059715270996, 7.2685041427612305, 23.07839012145996), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.163536548614502, 2.379361391067505, 23.018089294433594), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.71541690826416, 4.857395172119141, 23.10841178894043), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.274192810058594, 7.293102741241455, 23.071836471557617), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (4.871314525604248, 3.4352879524230957, 24.771617889404297), (4.0502753257751465, 3.8225293159484863, 25.154504776000977)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.10506010055542, energy_trajectory=[2.1133320331573486, 2.092648983001709, 2.077193260192871, 2.0628151893615723, 2.0492000579833984, 2.0367727279663086, 2.0249807834625244, 2.0141713619232178, 2.0040018558502197, 1.994309902191162, 1.9848861694335938, 1.9757626056671143, 1.9668986797332764, 1.9582650661468506, 1.9498374462127686, 1.9415931701660156, 1.9335126876831055, 1.9255788326263428, 1.9178056716918945, 1.9101407527923584, 1.9025928974151611, 1.8951489925384521, 1.8879470825195312, 1.8806960582733154, 1.873537540435791, 1.8664655685424805, 1.8594751358032227, 1.8525638580322266, 1.8457317352294922, 1.8390123844146729, 1.8323206901550293, 1.8256959915161133, 1.8192572593688965, 1.8127636909484863, 1.8063280582427979, 1.799950122833252, 1.793639898300171, 1.7874128818511963, 1.781266212463379, 1.7752094268798828, 1.7692415714263916, 1.7633438110351562, 1.7575080394744873, 1.7519118785858154, 1.7461657524108887, 1.7404565811157227, 1.734785795211792, 1.729151964187622, 1.72355055809021, 1.7179925441741943, 1.7124700546264648, 1.7069900035858154, 1.701552152633667, 1.6961638927459717, 1.690821647644043, 1.6855268478393555, 1.6802794933319092, 1.6750819683074951, 1.6699271202087402, 1.6648168563842773, 1.659752368927002, 1.6547305583953857, 1.649751901626587, 1.6448140144348145, 1.639918565750122, 1.6350622177124023, 1.6302456855773926, 1.6256062984466553, 1.6207201480865479, 1.6160104274749756, 1.6113379001617432, 1.6067020893096924, 1.6021027565002441, 1.597541332244873, 1.5930142402648926, 1.5885217189788818, 1.5840609073638916, 1.5796349048614502, 1.5752298831939697, 1.570866346359253, 1.5665340423583984, 1.5622329711914062, 1.5579586029052734, 1.553713321685791, 1.549494981765747, 1.5453026294708252, 1.541135549545288, 1.5369927883148193, 1.5328729152679443, 1.5286619663238525, 1.5245881080627441, 1.5205354690551758, 1.5165064334869385, 1.5124962329864502, 1.5085089206695557, 1.5045397281646729, 1.5005884170532227, 1.4966545104980469, 1.4927387237548828, 1.4885399341583252, 1.48465895652771, 1.4807963371276855, 1.476949691772461, 1.473118782043457, 1.4693071842193604, 1.4650638103485107, 1.4612843990325928, 1.4575231075286865, 1.4537782669067383, 1.4500527381896973, 1.446343183517456, 1.4426543712615967, 1.43898344039917, 1.4354195594787598, 1.4317893981933594, 1.4281775951385498, 1.424682378768921, 1.4211080074310303, 1.4175565242767334, 1.4140222072601318, 1.4105119705200195, 1.4070188999176025, 1.403550148010254, 1.4001007080078125, 1.3966712951660156, 1.393263816833496, 1.3898775577545166, 1.3865139484405518, 1.3831682205200195, 1.3798446655273438, 1.3765418529510498, 1.3732588291168213, 1.3699960708618164, 1.366753101348877, 1.3635313510894775, 1.3603284358978271, 1.3571455478668213, 1.35398268699646, 1.350839376449585, 1.3477156162261963, 1.3446283340454102, 1.3415448665618896, 1.3384795188903809, 1.335195541381836, 1.3321707248687744, 1.3291637897491455, 1.3261775970458984, 1.3232107162475586, 1.3202626705169678, 1.3173367977142334, 1.3144302368164062, 1.3115434646606445, 1.308678388595581, 1.3059654235839844, 1.3031413555145264, 1.3001949787139893, 1.297166347503662, 1.294205665588379, 1.2914702892303467, 1.2887563705444336, 1.2860677242279053, 1.2833991050720215, 1.2807557582855225, 1.2784302234649658, 1.275834083557129, 1.2732603549957275, 1.2707109451293945, 1.2681856155395508, 1.2656831741333008, 1.26320481300354, 1.2607488632202148, 1.258316993713379, 1.255908727645874, 1.253523349761963, 1.2511615753173828, 1.2488231658935547, 1.246506929397583, 1.244213581085205, 1.2419428825378418, 1.239694595336914, 1.2374682426452637, 1.2352643013000488, 1.233081579208374, 1.2309205532073975, 1.2287802696228027, 1.2266602516174316, 1.224562168121338, 1.2224841117858887, 1.2204267978668213, 1.2183892726898193, 1.2163722515106201, 1.2143762111663818, 1.2123985290527344, 1.2103121280670166, 1.2083735466003418, 1.2064557075500488, 1.2045581340789795, 1.202678918838501, 1.2008202075958252, 1.1989812850952148, 1.1971614360809326, 1.1953611373901367, 1.1935808658599854, 1.1918201446533203, 1.190079689025879, 1.1881740093231201, 1.1864738464355469, 1.1847925186157227, 1.1831319332122803, 1.1814908981323242, 1.1798698902130127, 1.1782686710357666, 1.1766877174377441, 1.1751258373260498, 1.173584222793579, 1.1720623970031738, 1.1705601215362549, 1.170532464981079, 1.1690764427185059, 1.167729139328003, 1.1663134098052979, 1.1649169921875, 1.1635417938232422, 1.1621859073638916, 1.1609764099121094, 1.1596601009368896, 1.1583631038665771, 1.1570842266082764, 1.155825138092041, 1.1545846462249756, 1.1535124778747559, 1.1523077487945557, 1.1511216163635254, 1.1499526500701904, 1.148892879486084, 1.1477608680725098, 1.1466460227966309, 1.14554762840271, 1.1444666385650635, 1.1434006690979004, 1.1426277160644531, 1.1415941715240479, 1.1405768394470215, 1.139575481414795, 1.1385893821716309, 1.137618064880371, 1.1366636753082275, 1.13572359085083, 1.1347992420196533, 1.1338903903961182, 1.132995843887329, 1.1321170330047607, 1.1312534809112549, 1.1304054260253906, 1.129572868347168, 1.128755807876587, 1.1279537677764893, 1.1270134449005127, 1.1262435913085938, 1.125551700592041, 1.1248116493225098, 1.1240875720977783, 1.123378038406372, 1.1228373050689697, 1.1221587657928467, 1.121495008468628, 1.1208455562591553, 1.120210886001587, 1.1195909976959229, 1.1189851760864258, 1.1183931827545166, 1.117814540863037, 1.1172492504119873, 1.116572618484497, 1.1160342693328857, 1.1151320934295654, 1.1146166324615479, 1.1141138076782227, 1.1136229038238525, 1.1131432056427002, 1.112675666809082, 1.1122186183929443, 1.1117727756500244, 1.1107008457183838, 1.110280990600586, 1.1098723411560059, 1.1094725131988525, 1.1090826988220215, 1.10870361328125, 1.1083316802978516, 1.1079692840576172, 1.107616901397705, 1.1072719097137451, 1.1069362163543701, 1.1066086292266846, 1.1062886714935303, 1.1069679260253906, 1.106658935546875, 1.1054158210754395, 1.10506010055542], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010058697313070297, -0.012763502076268196, -0.008656195364892483), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006488067097961903, -0.01182059571146965, -0.007347434293478727), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01580694504082203, -0.007281574886292219, -0.006954156793653965), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02131166122853756, 0.047415364533662796, 0.05062929913401604), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.032748494297266006, -0.024108605459332466, 0.009385017678141594), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004666311666369438, 0.0054803104139864445, -0.00802347157150507), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.021588554605841637, -0.00097462855046615, 0.012597061693668365), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0019683504942804575, -0.03659633547067642, 0.0009366945014335215), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012236857786774635, -0.017368903383612633, -0.007875101640820503), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.029350902885198593, 0.09106333553791046, -0.011487794108688831), (0.07027455419301987, 0.031077297404408455, -0.07235678285360336)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=2, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.5370900630950928, 2.3914084434509277, 23.20419692993164), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.11559247970581055, 4.861907005310059, 23.03976058959961), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.2762277126312256, 7.274021148681641, 23.06624984741211), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.364682674407959, 2.3880176544189453, 23.064342498779297), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.961251735687256, 4.8357157707214355, 23.048442840576172), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.5425262451171875, 7.2747955322265625, 23.06114387512207), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.151789665222168, 2.387540817260742, 23.03743553161621), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.773608684539795, 4.833113670349121, 23.061702728271484), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.363468170166016, 7.26467227935791, 23.047060012817383), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.0889654159545898, 2.6478848457336426, 25.151029586791992), (1.7869998216629028, 2.2732293605804443, 25.72739601135254)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0873260498046875, energy_trajectory=[1.116497278213501, 1.1084322929382324, 1.102318286895752, 1.0963237285614014, 1.0904841423034668, 1.0848057270050049, 1.079272747039795, 1.0737521648406982, 1.0685997009277344, 1.0634784698486328, 1.0583701133728027, 1.0536296367645264, 1.0490520000457764, 1.0446412563323975, 1.040393590927124, 1.036308765411377, 1.0323882102966309, 1.0286264419555664, 1.0252304077148438, 1.021794319152832, 1.0185210704803467, 1.0154175758361816, 1.0124871730804443, 1.0097386837005615, 1.0072078704833984, 1.0048668384552002, 1.0028438568115234, 1.0009899139404297, 0.9994228482246399, 0.998179018497467, 0.9970850348472595, 0.9965773224830627, 0.996461808681488, 0.9962001442909241, 0.9968038201332092, 0.9976394772529602, 0.9985547661781311, 0.9994140267372131, 1.0001139640808105, 1.0006189346313477, 1.00095796585083, 1.0011951923370361, 1.0014069080352783, 1.0016579627990723, 1.0019912719726562, 1.002431869506836, 1.0029890537261963, 1.0036468505859375, 1.0044288635253906, 1.0052812099456787, 1.0061967372894287, 1.007068157196045, 1.0080091953277588, 1.0088541507720947, 1.0095860958099365, 1.0103402137756348, 1.0116994380950928, 1.0123672485351562, 1.0130019187927246, 1.0135753154754639, 1.0141048431396484, 1.0145936012268066, 1.0150434970855713, 1.0154073238372803, 1.0157902240753174, 1.0160515308380127, 1.0163822174072266, 1.016690731048584, 1.016890048980713, 1.0171618461608887, 1.0174179077148438, 1.0176613330841064, 1.0178942680358887, 1.0180680751800537, 1.018286943435669, 1.0184991359710693, 1.0187079906463623, 1.0189125537872314, 1.019115686416626, 1.019317388534546, 1.019519567489624, 1.0197231769561768, 1.0199275016784668, 1.0201334953308105, 1.020341157913208, 1.0205497741699219, 1.0207626819610596, 1.02097749710083, 1.0211808681488037, 1.0214054584503174, 1.0216329097747803, 1.021864414215088, 1.0221002101898193, 1.022341251373291, 1.02229642868042, 1.0225434303283691, 1.0227947235107422, 1.02305006980896, 1.0233097076416016, 1.0235731601715088, 1.023838996887207, 1.0241096019744873, 1.0243849754333496, 1.0246620178222656, 1.0249443054199219, 1.0253949165344238, 1.0256807804107666, 1.0259690284729004, 1.026397466659546, 1.0266904830932617, 1.0266127586364746, 1.0269064903259277, 1.0271658897399902, 1.0274627208709717, 1.0277619361877441, 1.0280630588531494, 1.0283665657043457, 1.0286710262298584, 1.028977632522583, 1.0292854309082031, 1.029594898223877, 1.029829978942871, 1.030144453048706, 1.0304603576660156, 1.0307564735412598, 1.0310778617858887, 1.031402587890625, 1.031726360321045, 1.0319299697875977, 1.032257318496704, 1.0325841903686523, 1.032914161682129, 1.0332448482513428, 1.0334069728851318, 1.0337409973144531, 1.03407621383667, 1.034412145614624, 1.0347495079040527, 1.034959077835083, 1.0352966785430908, 1.0356361865997314, 1.0359768867492676, 1.0363190174102783, 1.0366597175598145, 1.0364701747894287, 1.0368196964263916, 1.036832332611084, 1.0371804237365723, 1.0373866558074951, 1.037738561630249, 1.0380892753601074, 1.0384411811828613, 1.038794994354248, 1.0391499996185303, 1.039505958557129, 1.039750576019287, 1.0401110649108887, 1.0404746532440186, 1.0408384799957275, 1.0412037372589111, 1.0419843196868896, 1.0423529148101807, 1.0427241325378418, 1.0430972576141357, 1.0434720516204834, 1.0438480377197266, 1.0442249774932861, 1.0446043014526367, 1.0449855327606201, 1.0453660488128662, 1.045750379562378, 1.046135425567627, 1.0465219020843506, 1.0469105243682861, 1.047300100326538, 1.047471523284912, 1.0478618144989014, 1.048252820968628, 1.0486462116241455, 1.0488760471343994, 1.0492722988128662, 1.0496716499328613, 1.0500717163085938, 1.050473928451538, 1.0508770942687988, 1.0512828826904297, 1.0516889095306396, 1.0520963668823242, 1.0525050163269043, 1.0529146194458008, 1.0533251762390137, 1.053736686706543, 1.054117202758789, 1.0545272827148438, 1.0551564693450928, 1.0555152893066406, 1.055929183959961, 1.056344747543335, 1.056760549545288, 1.0571765899658203, 1.0575940608978271, 1.058014154434204, 1.058363914489746, 1.0587854385375977, 1.0594615936279297, 1.0598914623260498, 1.0601005554199219, 1.0605316162109375, 1.0609643459320068, 1.0614004135131836, 1.0618374347686768, 1.0622799396514893, 1.0627233982086182, 1.0631709098815918, 1.0636200904846191, 1.0640738010406494, 1.0645301342010498, 1.0649878978729248, 1.06545090675354, 1.0659737586975098, 1.0664393901824951, 1.066908836364746, 1.0673789978027344, 1.0678529739379883, 1.0683434009552002, 1.0686326026916504, 1.0685985088348389, 1.0690374374389648, 1.0694794654846191, 1.0699224472045898, 1.0703673362731934, 1.0706243515014648, 1.071052074432373, 1.071481466293335, 1.0719115734100342, 1.0723400115966797, 1.0727696418762207, 1.0731995105743408, 1.0736279487609863, 1.0741395950317383, 1.0745699405670166, 1.0749986171722412, 1.0754263401031494, 1.0758535861968994, 1.0762770175933838, 1.0766992568969727, 1.0771174430847168, 1.0775344371795654, 1.0779469013214111, 1.0782513618469238, 1.0786590576171875, 1.0790605545043945, 1.079458236694336, 1.0802664756774902, 1.0812368392944336, 1.0816185474395752, 1.0819950103759766, 1.082364797592163, 1.0827279090881348, 1.0832493305206299, 1.0835206508636475, 1.0838639736175537, 1.084198236465454, 1.0845253467559814, 1.0848462581634521, 1.085158109664917, 1.0860872268676758, 1.0863897800445557, 1.086674451828003, 1.0869495868682861, 1.0872161388397217, 1.0874619483947754, 1.0877070426940918, 1.0879406929016113, 1.0881617069244385, 1.088371992111206, 1.088569164276123, 1.0887534618377686, 1.08854341506958, 1.0887000560760498, 1.0888440608978271, 1.0886728763580322, 1.088792085647583, 1.088897705078125, 1.0887529850006104, 1.088832139968872, 1.0889616012573242, 1.0889098644256592, 1.0889406204223633, 1.0889561176300049, 1.0889558792114258, 1.0883350372314453, 1.0883030891418457, 1.0882556438446045, 1.0881931781768799, 1.0881154537200928, 1.0880215167999268, 1.087594985961914, 1.0874686241149902, 1.0873260498046875], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.050138309597969055, 0.017018094658851624, -0.036351803690195084), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.08078678697347641, 0.029420871287584305, 0.002102940110489726), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.06914342194795609, 0.005958511494100094, 0.004195301793515682), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.050088491290807724, 0.030552655458450317, 0.007574043702334166), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.06841520965099335, 0.047640323638916016, 0.008528712205588818), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.07851811498403549, 0.02920583076775074, 0.03931944817304611), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.07811374962329865, 0.029750686138868332, 0.0034562021028250456), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.07659821957349777, 0.026088031008839607, 0.04721112549304962), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.08961998671293259, 0.012648511677980423, 0.007184361573308706), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.06169276311993599, -0.047156788408756256, -0.013132702559232712), (0.12346884608268738, -0.06394323706626892, -0.1687883883714676)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=3, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4036186933517456, 2.445497989654541, 23.070049285888672), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.00883310753852129, 4.893329620361328, 23.097841262817383), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4313538074493408, 7.324197292327881, 23.05537223815918), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.1470746994018555, 2.4985456466674805, 23.056467056274414), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.814164638519287, 4.890807628631592, 23.0969181060791), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.396481990814209, 7.18790864944458, 22.990192413330078), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.127355098724365, 2.516674518585205, 23.071218490600586), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.630885124206543, 4.93599271774292, 23.041316986083984), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.225477695465088, 7.329966068267822, 23.051860809326172), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.620245456695557, 1.9484984874725342, 24.583572387695312), (5.547626972198486, 2.516484498977661, 25.37881851196289)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.196800947189331, energy_trajectory=[2.1842703819274902, 2.1585474014282227, 2.137256145477295, 2.1163082122802734, 2.0956435203552246, 2.0752434730529785, 2.0551884174346924, 2.035285472869873, 2.015627145767212, 1.9962167739868164, 1.9768829345703125, 1.9583184719085693, 1.9405097961425781, 1.92354154586792, 1.9074468612670898, 1.891801357269287, 1.876753330230713, 1.8622446060180664, 1.8482379913330078, 1.8343818187713623, 1.8212087154388428, 1.8086128234863281, 1.7962148189544678, 1.7842249870300293, 1.7724521160125732, 1.7609734535217285, 1.7498650550842285, 1.7391538619995117, 1.7286968231201172, 1.7186980247497559, 1.7090253829956055, 1.699615240097046, 1.6905169486999512, 1.6816725730895996, 1.673067331314087, 1.6646583080291748, 1.656538963317871, 1.6486718654632568, 1.6410901546478271, 1.633791446685791, 1.626767635345459, 1.6199941635131836, 1.6134445667266846, 1.6070873737335205, 1.6008970737457275, 1.594864845275879, 1.5889809131622314, 1.5832374095916748, 1.5778155326843262, 1.5723538398742676, 1.5670301914215088, 1.5618436336517334, 1.5568022727966309, 1.5519046783447266, 1.5471508502960205, 1.5425429344177246, 1.5380768775939941, 1.5337533950805664, 1.5295650959014893, 1.525507926940918, 1.5215792655944824, 1.5177741050720215, 1.5142147541046143, 1.5106456279754639, 1.5071852207183838, 1.503831148147583, 1.5005786418914795, 1.496906042098999, 1.4938488006591797, 1.4908778667449951, 1.487990379333496, 1.4851815700531006, 1.4824469089508057, 1.4797825813293457, 1.4771873950958252, 1.474654197692871, 1.4721815586090088, 1.4697670936584473, 1.4674065113067627, 1.465097188949585, 1.462836742401123, 1.4606218338012695, 1.458451271057129, 1.4563229084014893, 1.4542648792266846, 1.452218770980835, 1.4502079486846924, 1.4482309818267822, 1.4462883472442627, 1.4443764686584473, 1.4424958229064941, 1.4406437873840332, 1.4388208389282227, 1.4370248317718506, 1.4352552890777588, 1.4335124492645264, 1.4317936897277832, 1.430098533630371, 1.4284288883209229, 1.426781415939331, 1.4251551628112793, 1.4235527515411377, 1.4219708442687988, 1.4204087257385254, 1.4188671112060547, 1.4173455238342285, 1.4158427715301514, 1.4143579006195068, 1.4128901958465576, 1.4114396572113037, 1.4100069999694824, 1.4085896015167236, 1.4071881771087646, 1.4058003425598145, 1.404426097869873, 1.4030663967132568, 1.401719331741333, 1.4003853797912598, 1.3990633487701416, 1.397752285003662, 1.396451711654663, 1.3951611518859863, 1.3938806056976318, 1.3926079273223877, 1.3916540145874023, 1.3903987407684326, 1.3891868591308594, 1.3879456520080566, 1.3867104053497314, 1.385610580444336, 1.3843839168548584, 1.383162498474121, 1.3819456100463867, 1.380730152130127, 1.379518747329712, 1.3783090114593506, 1.377100944519043, 1.3758931159973145, 1.3737483024597168, 1.3725454807281494, 1.3713417053222656, 1.37013840675354, 1.3689358234405518, 1.3677318096160889, 1.3665273189544678, 1.3653228282928467, 1.3635201454162598, 1.3623113632202148, 1.361100673675537, 1.3598885536193848, 1.3586742877960205, 1.3573637008666992, 1.3561458587646484, 1.3549256324768066, 1.3537037372589111, 1.3524789810180664, 1.3512520790100098, 1.3500232696533203, 1.3487908840179443, 1.3475573062896729, 1.3463196754455566, 1.3450803756713867, 1.3438389301300049, 1.3425953388214111, 1.3413493633270264, 1.3401010036468506, 1.3388481140136719, 1.337585210800171, 1.3363287448883057, 1.3350703716278076, 1.3338091373443604, 1.3325448036193848, 1.3312792778015137, 1.3300120830535889, 1.3287432193756104, 1.3276760578155518, 1.3264036178588867, 1.3251309394836426, 1.3238561153411865, 1.3225793838500977, 1.3213019371032715, 1.320024013519287, 1.3187448978424072, 1.31746506690979, 1.3161847591400146, 1.314903736114502, 1.313622236251831, 1.312340497970581, 1.311058521270752, 1.3097772598266602, 1.3084962368011475, 1.3072147369384766, 1.305933952331543, 1.3046526908874512, 1.3033726215362549, 1.3020930290222168, 1.3008146286010742, 1.2995367050170898, 1.2982604503631592, 1.2969841957092285, 1.2957096099853516, 1.294435739517212, 1.2931632995605469, 1.2918925285339355, 1.2906224727630615, 1.2893543243408203, 1.2880871295928955, 1.2868218421936035, 1.285557746887207, 1.2842955589294434, 1.283034086227417, 1.2817752361297607, 1.2805168628692627, 1.2792608737945557, 1.2780070304870605, 1.2767558097839355, 1.2755060195922852, 1.2742583751678467, 1.2730128765106201, 1.271770715713501, 1.2705309391021729, 1.2691617012023926, 1.267928123474121, 1.2666964530944824, 1.2654681205749512, 1.2642419338226318, 1.2630202770233154, 1.2618019580841064, 1.2605881690979004, 1.2593064308166504, 1.2581026554107666, 1.2569034099578857, 1.255708932876587, 1.2545208930969238, 1.25333833694458, 1.252161979675293, 1.2509915828704834, 1.2498273849487305, 1.2486703395843506, 1.2475206851959229, 1.2463784217834473, 1.2452449798583984, 1.2441184520721436, 1.2430005073547363, 1.2418928146362305, 1.240793228149414, 1.2397031784057617, 1.2386236190795898, 1.2375526428222656, 1.23649263381958, 1.2355060577392578, 1.2344677448272705, 1.233440637588501, 1.2324247360229492, 1.2314200401306152, 1.230426549911499, 1.229444980621338, 1.228477954864502, 1.2275185585021973, 1.2265698909759521, 1.225635051727295, 1.224710464477539, 1.2237982749938965, 1.2228989601135254, 1.2220122814178467, 1.2207236289978027, 1.2198622226715088, 1.2190139293670654, 1.2181758880615234, 1.2173516750335693, 1.216538429260254, 1.2157368659973145, 1.2149474620819092, 1.214169979095459, 1.2134034633636475, 1.2126483917236328, 1.2119054794311523, 1.211172342300415, 1.2104511260986328, 1.2097482681274414, 1.209047794342041, 1.208357810974121, 1.2076644897460938, 1.2069940567016602, 1.2063331604003906, 1.205681562423706, 1.20503830909729, 1.2045371532440186, 1.2036831378936768, 1.203064203262329, 1.2024524211883545, 1.201878547668457, 1.2012817859649658, 1.200690507888794, 1.200106143951416, 1.1991832256317139, 1.1986114978790283, 1.1980438232421875, 1.1973602771759033, 1.196800947189331], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0002830654848366976, 0.006783933378756046, -0.015166249126195908), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0020279076416045427, 0.005399332847446203, -0.014443504624068737), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.018613532185554504, 0.013621028512716293, -0.0069931503385305405), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.05164529010653496, -0.0036087376065552235, 0.044953860342502594), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0002493178762961179, 0.01115466095507145, -0.01383877545595169), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.016330067068338394, 0.07233691215515137, 0.0067927478812634945), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05417675897479057, -0.03549259155988693, 0.014812981709837914), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00814949069172144, 0.003150130622088909, -0.009404914453625679), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0007633811910636723, 0.01117873378098011, 0.001329617341980338), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.058375563472509384, 0.06888711452484131, 0.013279872015118599), (0.07362467050552368, 0.1616143435239792, -0.06086825579404831)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=4, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.411875605583191, 2.449021339416504, 23.013303756713867), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.057349447160959244, 4.859450817108154, 23.07925796508789), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3373655080795288, 7.276427745819092, 23.09549903869629), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.343005657196045, 2.4298224449157715, 23.093341827392578), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.873724937438965, 4.867069721221924, 23.06149673461914), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.524778962135315, 7.266744613647461, 23.02115821838379), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.1246819496154785, 2.423853874206543, 23.071392059326172), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.702071666717529, 4.873173713684082, 23.05687713623047), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.293680667877197, 7.306045055389404, 23.066436767578125), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (3.7207179069519043, 1.4489150047302246, 24.824636459350586), (4.5339460372924805, 1.0003970861434937, 25.15273666381836)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.1233537197113037, energy_trajectory=[1.9198217391967773, 1.905818223953247, 1.8924548625946045, 1.880789041519165, 1.869314193725586, 1.858466625213623, 1.84822678565979, 1.8384263515472412, 1.8289971351623535, 1.8204388618469238, 1.8115921020507812, 1.802943229675293, 1.794266700744629, 1.785973310470581, 1.7777495384216309, 1.769728183746338, 1.7618200778961182, 1.754011631011963, 1.7462964057922363, 1.7386679649353027, 1.7309541702270508, 1.7234165668487549, 1.716162919998169, 1.708862066268921, 1.7016441822052002, 1.694509506225586, 1.6874589920043945, 1.6804883480072021, 1.6735997200012207, 1.66678786277771, 1.6600565910339355, 1.6534039974212646, 1.6468751430511475, 1.6403820514678955, 1.6339614391326904, 1.6276168823242188, 1.621342420578003, 1.6151401996612549, 1.6083686351776123, 1.6023049354553223, 1.5963046550750732, 1.5903699398040771, 1.5844976902008057, 1.5786864757537842, 1.5729389190673828, 1.5672492980957031, 1.5616202354431152, 1.5560510158538818, 1.5505414009094238, 1.5450899600982666, 1.539698839187622, 1.5344171524047852, 1.529083251953125, 1.523866891860962, 1.5187973976135254, 1.513702154159546, 1.5086722373962402, 1.5035371780395508, 1.4986414909362793, 1.4938113689422607, 1.4889581203460693, 1.4842543601989746, 1.4796302318572998, 1.4750587940216064, 1.4705748558044434, 1.466629981994629, 1.46230149269104, 1.4580490589141846, 1.4538686275482178, 1.4497137069702148, 1.445669174194336, 1.44169282913208, 1.4377810955047607, 1.4339368343353271, 1.430159091949463, 1.4264445304870605, 1.422795057296753, 1.41920804977417, 1.415680170059204, 1.4122114181518555, 1.4088006019592285, 1.4054439067840576, 1.4021410942077637, 1.398890733718872, 1.39569091796875, 1.3925414085388184, 1.3894402980804443, 1.3863849639892578, 1.383375644683838, 1.3804116249084473, 1.3774919509887695, 1.37461519241333, 1.3719580173492432, 1.3691635131835938, 1.3663911819458008, 1.3636753559112549, 1.360999584197998, 1.3583617210388184, 1.3557624816894531, 1.3532004356384277, 1.350792407989502, 1.3483014106750488, 1.3458466529846191, 1.3434257507324219, 1.3413915634155273, 1.3390297889709473, 1.3366971015930176, 1.3343946933746338, 1.3321218490600586, 1.3298759460449219, 1.3276565074920654, 1.3254642486572266, 1.3232958316802979, 1.3211524486541748, 1.319033145904541, 1.3170149326324463, 1.3149394989013672, 1.3128859996795654, 1.3108551502227783, 1.3085663318634033, 1.306575059890747, 1.3046038150787354, 1.3026525974273682, 1.300720453262329, 1.2988057136535645, 1.296910047531128, 1.2948260307312012, 1.292963981628418, 1.291121006011963, 1.2892932891845703, 1.2874822616577148, 1.2856874465942383, 1.2839081287384033, 1.2821447849273682, 1.2803966999053955, 1.2786638736724854, 1.2769453525543213, 1.2752420902252197, 1.273552417755127, 1.2718775272369385, 1.2702178955078125, 1.2685027122497559, 1.2668695449829102, 1.2652506828308105, 1.2636444568634033, 1.2620518207550049, 1.2604732513427734, 1.258906602859497, 1.2573540210723877, 1.255812644958496, 1.2542839050292969, 1.252739429473877, 1.2512357234954834, 1.2497453689575195, 1.2482671737670898, 1.2467987537384033, 1.2452378273010254, 1.2437913417816162, 1.242356777191162, 1.2411060333251953, 1.2396905422210693, 1.2382855415344238, 1.236891269683838, 1.2355077266693115, 1.234135389328003, 1.2327728271484375, 1.231421947479248, 1.2300801277160645, 1.2287490367889404, 1.2274293899536133, 1.226119041442871, 1.2248196601867676, 1.2235305309295654, 1.2222509384155273, 1.2209832668304443, 1.2197260856628418, 1.2181639671325684, 1.2169287204742432, 1.2157039642333984, 1.214489221572876, 1.2132508754730225, 1.2117996215820312, 1.2106163501739502, 1.2094430923461914, 1.2081594467163086, 1.2070090770721436, 1.205869197845459, 1.204740047454834, 1.2037274837493896, 1.2026190757751465, 1.2015211582183838, 1.200434684753418, 1.1993582248687744, 1.1982908248901367, 1.1972038745880127, 1.1961567401885986, 1.1951184272766113, 1.1940906047821045, 1.1930723190307617, 1.1920619010925293, 1.1910622119903564, 1.190070629119873, 1.1890861988067627, 1.1881966590881348, 1.1872320175170898, 1.1862750053405762, 1.1853272914886475, 1.18438720703125, 1.183454990386963, 1.1825313568115234, 1.18155837059021, 1.180724859237671, 1.179823875427246, 1.1788902282714844, 1.1780049800872803, 1.1771268844604492, 1.1762573719024658, 1.1753959655761719, 1.1745421886444092, 1.173095941543579, 1.1722557544708252, 1.1714234352111816, 1.1706006526947021, 1.1697847843170166, 1.1689777374267578, 1.1681780815124512, 1.167386770248413, 1.1666028499603271, 1.1657640933990479, 1.1649963855743408, 1.1642367839813232, 1.1634905338287354, 1.162745475769043, 1.162154197692871, 1.1614258289337158, 1.160703182220459, 1.159989356994629, 1.1592822074890137, 1.1585817337036133, 1.1578900814056396, 1.1572911739349365, 1.156611442565918, 1.155937671661377, 1.155271053314209, 1.1546096801757812, 1.1539559364318848, 1.1533069610595703, 1.1526641845703125, 1.1521131992340088, 1.1514813899993896, 1.150855541229248, 1.1503455638885498, 1.1497304439544678, 1.1490051746368408, 1.1483995914459229, 1.1477980613708496, 1.1472015380859375, 1.1466093063354492, 1.1460216045379639, 1.1454381942749023, 1.1448583602905273, 1.1442818641662598, 1.143709421157837, 1.1431398391723633, 1.1425747871398926, 1.1421794891357422, 1.1416747570037842, 1.1411211490631104, 1.140570878982544, 1.140021562576294, 1.139474868774414, 1.1389307975769043, 1.1383888721466064, 1.137848138809204, 1.137310266494751, 1.1367731094360352, 1.1362378597259521, 1.1357038021087646, 1.13517165184021, 1.1346406936645508, 1.1341123580932617, 1.133584976196289, 1.1330592632293701, 1.1325352191925049, 1.1320130825042725, 1.1314928531646729, 1.130974531173706, 1.1304585933685303, 1.129943609237671, 1.1294312477111816, 1.1289212703704834, 1.128413438796997, 1.1268112659454346, 1.1263129711151123, 1.125816822052002, 1.1253223419189453, 1.1248276233673096, 1.1243360042572021, 1.123844861984253, 1.1233537197113037], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0028194598853588104, 0.004649413283914328, -0.002765445737168193), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006445928476750851, -0.0008707473753020167, 0.0007494335877709091), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004098561592400074, -0.0030561904422938824, 0.005873099435120821), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013146265409886837, 0.009220918640494347, -0.004791188053786755), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00364670529961586, 0.0031173620373010635, -0.0007686251192353666), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010393149219453335, -0.003391787875443697, -0.0012323190458118916), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007581422571092844, -0.0002330035640625283, 0.0031568841077387333), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005486395675688982, 0.0007527073030360043, 0.002015202771872282), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0012773815542459488, -0.000997144728899002, -0.0006082436884753406), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.08046051114797592, -0.009954383596777916, -0.014048653654754162), (-0.0680023655295372, -0.008598771877586842, 0.032975900918245316)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=5, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4462108612060547, 2.439589738845825, 23.046142578125), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.039553459733724594, 4.890573501586914, 23.047100067138672), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3679178953170776, 7.3326191902160645, 23.06136703491211), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.282567501068115, 2.421320915222168, 23.045825958251953), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.909270763397217, 4.876700401306152, 23.15582275390625), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4433269500732422, 7.339318752288818, 23.043962478637695), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.09593391418457, 2.444761037826538, 23.060047149658203), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.719156742095947, 4.890556335449219, 23.039880752563477), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.282055377960205, 7.352198123931885, 23.043701171875), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (3.064866304397583, 4.955286502838135, 25.150150299072266), (3.8886468410491943, 4.470123767852783, 25.375730514526367)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.014836311340332, energy_trajectory=[1.1605184078216553, 1.1525511741638184, 1.1464805603027344, 1.1406364440917969, 1.1347053050994873, 1.129094123840332, 1.1235792636871338, 1.1181585788726807, 1.1126532554626465, 1.1074154376983643, 1.1022672653198242, 1.0970721244812012, 1.092106819152832, 1.087233543395996, 1.08255934715271, 1.0778725147247314, 1.073279619216919, 1.0687823295593262, 1.0643792152404785, 1.0600743293762207, 1.055868148803711, 1.051762580871582, 1.047755241394043, 1.043849229812622, 1.039896011352539, 1.0361976623535156, 1.0333123207092285, 1.029834508895874, 1.026475191116333, 1.0233361721038818, 1.0204203128814697, 1.017808437347412, 1.0153076648712158, 1.0130035877227783, 1.0108892917633057, 1.0089566707611084, 1.0071995258331299, 1.0058324337005615, 1.004404067993164, 1.003129243850708, 1.002000331878662, 1.0010113716125488, 1.0001554489135742, 0.9994261860847473, 0.9988171458244324, 0.9983208775520325, 0.9979329705238342, 0.997647225856781, 0.9973283410072327, 0.9972259402275085, 0.9972015023231506, 0.9972428679466248, 0.9973333477973938, 0.9974563717842102, 0.997593104839325, 0.9977290034294128, 0.9978519082069397, 0.99796062707901, 0.998054563999176, 0.9981370568275452, 0.9982126355171204, 0.9982852339744568, 0.998353898525238, 0.9984131455421448, 0.9984608292579651, 0.9984884858131409, 0.9984957575798035, 0.9984889626502991, 0.9984833598136902, 0.9984959959983826, 0.9985411763191223, 0.9986256957054138, 0.9990293383598328, 0.9991855025291443, 0.9993689656257629, 0.9995723366737366, 0.9997890591621399, 1.0003042221069336, 1.0005321502685547, 1.000758409500122, 1.000981092453003, 1.0011954307556152, 1.0014033317565918, 1.0016014575958252, 1.001788854598999, 1.0019643306732178, 1.0021286010742188, 1.0022814273834229, 1.0024218559265137, 1.0025508403778076, 1.0026676654815674, 1.0027728080749512, 1.0028667449951172, 1.0029182434082031, 1.0029911994934082, 1.0030615329742432, 1.0031123161315918, 1.0031538009643555, 1.0031864643096924, 1.0032107830047607, 1.0032272338867188, 1.0032367706298828, 1.0032391548156738, 1.0032355785369873, 1.003225326538086, 1.0032100677490234, 1.0036072731018066, 1.0035786628723145, 1.003547191619873, 1.0035107135772705, 1.003471851348877, 1.003429651260376, 1.0033841133117676, 1.003335952758789, 1.0032861232757568, 1.0032336711883545, 1.0031802654266357, 1.003124713897705, 1.0030686855316162, 1.0028574466705322, 1.002800464630127, 1.002741813659668, 1.002683401107788, 1.0026237964630127, 1.0025649070739746, 1.0025074481964111, 1.002450942993164, 1.0023949146270752, 1.0023398399353027, 1.0022852420806885, 1.0022318363189697, 1.0021812915802002, 1.002131700515747, 1.0022671222686768, 1.0022213459014893, 1.002176284790039, 1.0021345615386963, 1.0020949840545654, 1.0020568370819092, 1.0020201206207275, 1.0019843578338623, 1.0019516944885254, 1.0019211769104004, 1.0018928050994873, 1.0018649101257324, 1.0018384456634521, 1.00184965133667, 1.0018253326416016, 1.0018022060394287, 1.0017802715301514, 1.0017592906951904, 1.0017390251159668, 1.0017187595367432, 1.0016987323760986, 1.0016794204711914, 1.0016348361968994, 1.0016157627105713, 1.0015966892242432, 1.001579761505127, 1.0015606880187988, 1.0015430450439453, 1.0015249252319336, 1.001507043838501, 1.001490592956543, 1.001474380493164, 1.0014595985412598, 1.00144624710083, 1.0014336109161377, 1.001422643661499, 1.0014123916625977, 1.0013341903686523, 1.0013699531555176, 1.0013642311096191, 1.0013599395751953, 1.0011165142059326, 1.0011184215545654, 1.001122236251831, 1.001127004623413, 1.001136302947998, 1.0011487007141113, 1.0011627674102783, 1.001204013824463, 1.0016310214996338, 1.001657247543335, 1.0016858577728271, 1.0017170906066895, 1.0017542839050293, 1.0013768672943115, 1.0014195442199707, 1.0014665126800537, 1.0015175342559814, 1.001573085784912, 1.0016329288482666, 1.0016982555389404, 1.0017659664154053, 1.001840353012085, 1.001918077468872, 1.001999855041504, 1.002086877822876, 1.0021781921386719, 1.0023694038391113, 1.0024678707122803, 1.0025477409362793, 1.002654790878296, 1.0027437210083008, 1.0028605461120605, 1.0029807090759277, 1.0031046867370605, 1.0032341480255127, 1.0029807090759277, 1.0031185150146484, 1.0032613277435303, 1.0034089088439941, 1.0035593509674072, 1.0036020278930664, 1.003760576248169, 1.0039238929748535, 1.0040907859802246, 1.004260540008545, 1.0044341087341309, 1.004612684249878, 1.0047938823699951, 1.0049781799316406, 1.0051665306091309, 1.0053589344024658, 1.0055561065673828, 1.005756139755249, 1.0059607028961182, 1.0061678886413574, 1.0063807964324951, 1.0065922737121582, 1.0068137645721436, 1.0070388317108154, 1.0072686672210693, 1.0074999332427979, 1.0076887607574463, 1.007946491241455, 1.008188009262085, 1.0084333419799805, 1.0086798667907715, 1.0088844299316406, 1.0090816020965576, 1.0092086791992188, 1.0094592571258545, 1.0097136497497559, 1.0099709033966064, 1.0102307796478271, 1.0104429721832275, 1.010706901550293, 1.0108323097229004, 1.011009931564331, 1.0112781524658203, 1.0115466117858887, 1.011815071105957, 1.012085199356079, 1.0123555660247803, 1.012420892715454, 1.0126993656158447, 1.0132675170898438, 1.0134050846099854, 1.0135939121246338, 1.0138554573059082, 1.0141146183013916, 1.014655590057373, 1.014822006225586, 1.0150182247161865, 1.0152511596679688, 1.0154790878295898, 1.0156991481781006, 1.0159130096435547, 1.0158584117889404, 1.0159757137298584, 1.0161569118499756, 1.0169520378112793, 1.0171079635620117, 1.0172491073608398, 1.017552137374878, 1.01766037940979, 1.0177536010742188, 1.0178165435791016, 1.0178565979003906, 1.017679214477539, 1.0176022052764893, 1.0177690982818604, 1.017723560333252, 1.017674207687378, 1.017606258392334, 1.0175178050994873, 1.017409324645996, 1.017282485961914, 1.0171358585357666, 1.016979455947876, 1.0168108940124512, 1.0166287422180176, 1.0162887573242188, 1.015979290008545, 1.0155448913574219, 1.0153186321258545, 1.0150821208953857, 1.014836311340332], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004503159783780575, -0.016846977174282074, 0.00495490524917841), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015556232072412968, -0.0030615790747106075, 0.003783077234402299), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00024795017088763416, -0.006722399033606052, 0.01737310364842415), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0011169156059622765, -0.003588639199733734, 0.008459151722490788), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.027423691004514694, -0.0044460659846663475, 0.0073740798979997635), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006038119085133076, 0.0072431922890245914, 0.002645754488185048), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0019020258914679289, -0.003870018757879734, 0.014207039959728718), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011094039306044579, -0.007525580935180187, 0.01168675534427166), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0037118117325007915, -0.003958041314035654, 0.003618328832089901), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.08330383896827698, -0.011134720407426357, -0.01282597053796053), (-0.07719608396291733, 0.026144685223698616, -0.0013509332202374935)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=6, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4209471940994263, 2.4518961906433105, 23.045141220092773), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.0004616783407982439, 4.878628253936768, 23.064714431762695), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.390303134918213, 7.323399066925049, 23.049026489257812), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.232957363128662, 2.4355740547180176, 23.066120147705078), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8146328926086426, 4.865182399749756, 23.04433250427246), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3961293697357178, 7.322754859924316, 23.043601989746094), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.042825698852539, 2.4504764080047607, 23.040868759155273), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.650003910064697, 4.865589618682861, 23.047765731811523), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.253335952758789, 7.322383403778076, 23.132404327392578), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (4.149436950683594, 7.346010684967041, 25.13079261779785), (4.722944736480713, 6.619858741760254, 25.453767776489258)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9901742339134216, energy_trajectory=[1.2055234909057617, 1.1981019973754883, 1.1928107738494873, 1.1875922679901123, 1.1824815273284912, 1.177466869354248, 1.1725475788116455, 1.167717456817627, 1.1629793643951416, 1.158336877822876, 1.1540565490722656, 1.1496121883392334, 1.1449613571166992, 1.1407558917999268, 1.1365978717803955, 1.132577657699585, 1.1286957263946533, 1.124924898147583, 1.1216645240783691, 1.1181771755218506, 1.1149845123291016, 1.112123966217041, 1.1095497608184814, 1.1072266101837158, 1.1053259372711182, 1.103334903717041, 1.1015965938568115, 1.1000056266784668, 1.0985443592071533, 1.0971980094909668, 1.0959539413452148, 1.094797134399414, 1.0937185287475586, 1.0938763618469238, 1.0929219722747803, 1.0919454097747803, 1.0910942554473877, 1.0902824401855469, 1.089503526687622, 1.0887513160705566, 1.0880239009857178, 1.0873160362243652, 1.0866243839263916, 1.0859456062316895, 1.0835347175598145, 1.0827643871307373, 1.082160472869873, 1.0815074443817139, 1.0808618068695068, 1.0802195072174072, 1.0795822143554688, 1.0789499282836914, 1.0783205032348633, 1.0777709484100342, 1.0771491527557373, 1.0765297412872314, 1.0759165287017822, 1.0753095149993896, 1.0747084617614746, 1.0741124153137207, 1.0735242366790771, 1.0729403495788574, 1.0723638534545898, 1.071794033050537, 1.0712273120880127, 1.0706672668457031, 1.070110559463501, 1.0695559978485107, 1.069005012512207, 1.0683636665344238, 1.0678157806396484, 1.0672698020935059, 1.066725730895996, 1.0659949779510498, 1.0654520988464355, 1.0649104118347168, 1.0643706321716309, 1.0638306140899658, 1.0632922649383545, 1.062751293182373, 1.0622119903564453, 1.0616724491119385, 1.0611310005187988, 1.060589075088501, 1.0600452423095703, 1.0595009326934814, 1.0589540004730225, 1.0584063529968262, 1.0578563213348389, 1.0573058128356934, 1.0567536354064941, 1.0561997890472412, 1.0556445121765137, 1.0550878047943115, 1.0545318126678467, 1.0539748668670654, 1.0534186363220215, 1.0528619289398193, 1.0523076057434082, 1.0517513751983643, 1.0511982440948486, 1.0506470203399658, 1.050095796585083, 1.0493812561035156, 1.0488331317901611, 1.0482900142669678, 1.0477485656738281, 1.0472116470336914, 1.046677827835083, 1.0459518432617188, 1.0453314781188965, 1.0447461605072021, 1.0442278385162354, 1.043715476989746, 1.043215036392212, 1.042710781097412, 1.0422098636627197, 1.0417137145996094, 1.0412228107452393, 1.0407345294952393, 1.0402500629425049, 1.039769172668457, 1.0392920970916748, 1.0388171672821045, 1.0362138748168945, 1.0357401371002197, 1.0352652072906494, 1.034792184829712, 1.0343191623687744, 1.033848762512207, 1.033388376235962, 1.032918930053711, 1.0324532985687256, 1.0317296981811523, 1.031266450881958, 1.0308036804199219, 1.0303447246551514, 1.0298874378204346, 1.0296881198883057, 1.0292391777038574, 1.0287926197052002, 1.0283467769622803, 1.0273890495300293, 1.0269505977630615, 1.0265161991119385, 1.0260844230651855, 1.0256562232971191, 1.0252306461334229, 1.0248088836669922, 1.0243909358978271, 1.0239770412445068, 1.0235669612884521, 1.0231647491455078, 1.0227651596069336, 1.0229148864746094, 1.0225281715393066, 1.0221483707427979, 1.0217747688293457, 1.0214049816131592, 1.0212268829345703, 1.0217387676239014, 1.0213570594787598, 1.0209860801696777, 1.0206246376037598, 1.0202703475952148, 1.019925832748413, 1.0195870399475098, 1.0192551612854004, 1.0189306735992432, 1.018613576889038, 1.0183014869689941, 1.0178802013397217, 1.0175819396972656, 1.0172865390777588, 1.016995906829834, 1.0164158344268799, 1.01613187789917, 1.0158512592315674, 1.0155737400054932, 1.0152976512908936, 1.0150253772735596, 1.0147547721862793, 1.01448655128479, 1.0142199993133545, 1.0139546394348145, 1.0136916637420654, 1.0134294033050537, 1.0131680965423584, 1.012908697128296, 1.0126514434814453, 1.0123929977416992, 1.0121371746063232, 1.0118818283081055, 1.0116279125213623, 1.011376142501831, 1.0111253261566162, 1.0108754634857178, 1.0106263160705566, 1.0103785991668701, 1.0101325511932373, 1.0098886489868164, 1.0096442699432373, 1.0094022750854492, 1.009162425994873, 1.009021520614624, 1.0087862014770508, 1.008552074432373, 1.0083177089691162, 1.0080864429473877, 1.0078551769256592, 1.007627010345459, 1.0073981285095215, 1.0071709156036377, 1.0069446563720703, 1.006718635559082, 1.0064952373504639, 1.0062711238861084, 1.0060498714447021, 1.005829095840454, 1.0056114196777344, 1.005286455154419, 1.005072832107544, 1.0048587322235107, 1.0046436786651611, 1.0044312477111816, 1.0042178630828857, 1.0041160583496094, 1.0039050579071045, 1.003695011138916, 1.0034852027893066, 1.0032768249511719, 1.003068447113037, 1.0028595924377441, 1.0026531219482422, 1.0024466514587402, 1.002242088317871, 1.0020360946655273, 1.0018329620361328, 1.0016300678253174, 1.0014257431030273, 1.0012216567993164, 1.0010175704956055, 1.000814437866211, 1.0006113052368164, 1.00040864944458, 1.000206470489502, 1.0000073909759521, 0.9998082518577576, 0.9996111989021301, 0.9994164109230042, 0.9992229342460632, 0.9990304112434387, 0.998838484287262, 0.9986478686332703, 0.9984583258628845, 0.9982717633247375, 0.9980738759040833, 0.9978907704353333, 0.9977075457572937, 0.9973899722099304, 0.9972067475318909, 0.9970347285270691, 0.9968566298484802, 0.9966774582862854, 0.9964954257011414, 0.996353805065155, 0.9961751103401184, 0.9959987998008728, 0.9958215355873108, 0.9956442713737488, 0.9954652190208435, 0.9952864050865173, 0.9951072335243225, 0.9949279427528381, 0.994748055934906, 0.9945687651634216, 0.9943863749504089, 0.9942416548728943, 0.9940590262413025, 0.9938748478889465, 0.9936901926994324, 0.9935042262077332, 0.9933176636695862, 0.9931308627128601, 0.9929434657096863, 0.9927274584770203, 0.9925381541252136, 0.9923478960990906, 0.9921593070030212, 0.9919702410697937, 0.9917818903923035, 0.9916024804115295, 0.9914180636405945, 0.9912334084510803, 0.9910520911216736, 0.9908731579780579, 0.9906989932060242, 0.9905282855033875, 0.9903313517570496, 0.9901742339134216], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004777643363922834, 0.006107412278652191, 0.0011799006024375558), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003627991070970893, 0.0034264742862433195, 8.021760731935501e-05), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007838890887796879, 0.0030026945751160383, 0.0006736360373906791), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004077279008924961, 0.0029260118026286364, 0.0009271538583561778), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0008043256239034235, -0.0024576459545642138, 0.00017466553254052997), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0031442921608686447, 0.004052239935845137, -0.002912448486313224), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0003038226277567446, 0.0077283005230128765, -5.961565420875559e-06), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006579367443919182, -0.0027679402846843004, 0.0006126947118900716), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002983981976285577, -0.0029005154501646757, 0.02396038919687271), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007423727307468653, 0.01593060977756977, 0.0043318611569702625), (0.0161263607442379, -0.006491681095212698, -0.015014459379017353)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=7, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3953641653060913, 2.453427314758301, 23.043960571289062), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.000294355908408761, 4.897353649139404, 23.063581466674805), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.412981390953064, 7.330842971801758, 23.04857635498047), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.2378363609313965, 2.4582176208496094, 23.148038864135742), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.808382511138916, 4.914609909057617, 23.038700103759766), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4137599468231201, 7.332725524902344, 23.050373077392578), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.0708537101745605, 2.4541141986846924, 23.04638671875), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.6542768478393555, 4.91498327255249, 23.038000106811523), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.232350826263428, 7.3413825035095215, 23.06243324279785), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (4.222026824951172, 2.6047310829162598, 25.145673751831055), (4.26052713394165, 1.700405478477478, 25.520673751831055)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9934572577476501, energy_trajectory=[1.2930355072021484, 1.2827861309051514, 1.276190996170044, 1.269763708114624, 1.2634611129760742, 1.2571372985839844, 1.2508389949798584, 1.2445552349090576, 1.238180160522461, 1.2317214012145996, 1.2254974842071533, 1.2193026542663574, 1.213141679763794, 1.2070229053497314, 1.2009506225585938, 1.1949331760406494, 1.1889739036560059, 1.183079481124878, 1.1772541999816895, 1.1715035438537598, 1.1658308506011963, 1.160238265991211, 1.1550374031066895, 1.149599552154541, 1.144300937652588, 1.1391913890838623, 1.1342377662658691, 1.129462718963623, 1.124845266342163, 1.1203815937042236, 1.1160664558410645, 1.1118979454040527, 1.1078732013702393, 1.1034164428710938, 1.0996112823486328, 1.0959720611572266, 1.09246826171875, 1.0891892910003662, 1.086256742477417, 1.0831444263458252, 1.0801584720611572, 1.0772991180419922, 1.0746407508850098, 1.0720248222351074, 1.069528579711914, 1.0671494007110596, 1.0648839473724365, 1.062729835510254, 1.0606858730316162, 1.0587468147277832, 1.056910514831543, 1.055112361907959, 1.053467035293579, 1.051917314529419, 1.0504539012908936, 1.0490787029266357, 1.0477862358093262, 1.0465736389160156, 1.045440912246704, 1.0442771911621094, 1.043290376663208, 1.0423195362091064, 1.0414597988128662, 1.0406887531280518, 1.0399832725524902, 1.0393407344818115, 1.0387465953826904, 1.038217306137085, 1.037736415863037, 1.0372982025146484, 1.0372693538665771, 1.0369558334350586, 1.0366098880767822, 1.036494255065918, 1.0361847877502441, 1.0358872413635254, 1.035602331161499, 1.0353541374206543, 1.0350894927978516, 1.0348331928253174, 1.0345854759216309, 1.0343494415283203, 1.0341215133666992, 1.0339031219482422, 1.0336921215057373, 1.0334875583648682, 1.033292293548584, 1.0331001281738281, 1.0329763889312744, 1.032792091369629, 1.032606601715088, 1.0324201583862305, 1.0321097373962402, 1.0319159030914307, 1.0317177772521973, 1.0315132141113281, 1.0313043594360352, 1.0310895442962646, 1.0308687686920166, 1.0306415557861328, 1.0304083824157715, 1.0301697254180908, 1.0298304557800293, 1.0295798778533936, 1.0295445919036865, 1.0292840003967285, 1.0290195941925049, 1.0287508964538574, 1.0284788608551025, 1.0282032489776611, 1.0279242992401123, 1.0276439189910889, 1.0273594856262207, 1.0270729064941406, 1.026782751083374, 1.026491403579712, 1.026198148727417, 1.0259020328521729, 1.025604486465454, 1.0253047943115234, 1.025003433227539, 1.0246996879577637, 1.0243937969207764, 1.0240871906280518, 1.0237789154052734, 1.023470163345337, 1.0231614112854004, 1.0228497982025146, 1.0225372314453125, 1.0222234725952148, 1.0219082832336426, 1.0215928554534912, 1.0212767124176025, 1.0213615894317627, 1.021040916442871, 1.0207195281982422, 1.0203971862792969, 1.020073413848877, 1.019749641418457, 1.019425630569458, 1.0191011428833008, 1.0188241004943848, 1.018549919128418, 1.0182292461395264, 1.017909049987793, 1.0175881385803223, 1.017268180847168, 1.0169496536254883, 1.0165889263153076, 1.016270399093628, 1.0159533023834229, 1.0156381130218506, 1.0153224468231201, 1.0150089263916016, 1.0146970748901367, 1.0143871307373047, 1.014078140258789, 1.0137720108032227, 1.0134670734405518, 1.0131640434265137, 1.0128636360168457, 1.0125644207000732, 1.0122506618499756, 1.011955738067627, 1.0116651058197021, 1.011375904083252, 1.0110900402069092, 1.0108985900878906, 1.0106170177459717, 1.0103404521942139, 1.010044813156128, 1.0097718238830566, 1.0095031261444092, 1.0092380046844482, 1.0089750289916992, 1.0087144374847412, 1.0084583759307861, 1.0082015991210938, 1.007951021194458, 1.0077016353607178, 1.0074551105499268, 1.0072109699249268, 1.0071184635162354, 1.006880521774292, 1.0066449642181396, 1.0064117908477783, 1.0060245990753174, 1.0057942867279053, 1.0055665969848633, 1.0053396224975586, 1.0051138401031494, 1.0048909187316895, 1.004668951034546, 1.004448652267456, 1.0042293071746826, 1.0040123462677002, 1.0037965774536133, 1.003662347793579, 1.0034496784210205, 1.0032391548156738, 1.0030303001403809, 1.0028233528137207, 1.002617359161377, 1.0024385452270508, 1.0022635459899902, 1.0017189979553223, 1.0015192031860352, 1.0013213157653809, 1.0011253356933594, 1.0009338855743408, 1.0010926723480225, 1.0009095668792725, 1.0007290840148926, 1.0005521774291992, 1.0003771781921387, 1.0002872943878174, 1.0001208782196045, 0.9999571442604065, 0.9997962117195129, 0.999639093875885, 0.9994849562644958, 0.9993357062339783, 0.9991877675056458, 0.9990459084510803, 0.9989063143730164, 0.9987708926200867, 0.9986398816108704, 0.9985128045082092, 0.9983903765678406, 0.9982708096504211, 0.9981552958488464, 0.9980435967445374, 0.9979367852210999, 0.9978321194648743, 0.9977309107780457, 0.9976323246955872, 0.997535765171051, 0.9972681403160095, 0.9971584677696228, 0.9970516562461853, 0.9969504475593567, 0.9968519806861877, 0.9967580437660217, 0.9966668486595154, 0.9965800642967224, 0.9964966177940369, 0.9964112639427185, 0.9963331818580627, 0.9962603449821472, 0.9961913228034973, 0.9961257576942444, 0.9960632920265198, 0.9960054755210876, 0.9959504008293152, 0.9958980679512024, 0.9958507418632507, 0.9958063960075378, 0.9957649111747742, 0.9957271218299866, 0.9956919550895691, 0.9956610798835754, 0.9956315159797668, 0.9956055283546448, 0.9955820441246033, 0.9955607056617737, 0.9955419898033142, 0.9955245852470398, 0.9955094456672668, 0.9954957365989685, 0.9954836964607239, 0.9954720139503479, 0.9954602122306824, 0.9954473376274109, 0.9951913952827454, 0.9951764941215515, 0.9952487349510193, 0.9952258467674255, 0.9951993823051453, 0.9951675534248352, 0.9951285719871521, 0.9951264262199402, 0.9951792359352112, 0.9951196312904358, 0.9950531125068665, 0.9949399828910828, 0.9948071837425232, 0.9946641325950623, 0.9945233464241028, 0.9944666028022766, 0.9944702982902527, 0.9943367838859558, 0.9942370057106018, 0.9942179322242737, 0.994118869304657, 0.9941096901893616, 0.9940511584281921, 0.9938729405403137, 0.9936684966087341, 0.9935194849967957, 0.9934572577476501], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010102556087076664, 0.0029656800907105207, 0.0013381819007918239), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.000690324988681823, 0.0012295434717088938, 0.007403186056762934), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009008331224322319, -0.012416890822350979, -0.0016060059424489737), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0032244278118014336, -0.005353944376111031, 0.048124607652425766), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0008231026004068553, 0.008616263046860695, 0.006500537041574717), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009178532287478447, -0.016113432124257088, -0.00011170204379595816), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011480823159217834, 0.0006869679200462997, 0.0024451210629194975), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006068897899240255, 0.007879477925598621, 0.009479343891143799), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (1.3273693184601143e-06, -0.0013164622941985726, 0.004089612513780594), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0067757065407931805, 0.014252626337110996, 0.01660659722983837), (0.00529223307967186, -0.04333764314651489, -0.08091279119253159)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=8, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4292033910751343, 2.4442193508148193, 23.061071395874023), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.031607042998075485, 4.889706134796143, 23.048721313476562), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.386130690574646, 7.33863639831543, 23.045612335205078), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.240100383758545, 2.4229347705841064, 23.041793823242188), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8199400901794434, 4.890144348144531, 23.035869598388672), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4306272268295288, 7.330114841461182, 23.062265396118164), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.082920551300049, 2.4273691177368164, 23.04651641845703), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.67126989364624, 4.86988639831543, 23.130290985107422), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.242760181427002, 7.345940113067627, 23.04065704345703), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-2.9179906845092773, 4.874096870422363, 25.125865936279297), (-2.140031099319458, 4.378653049468994, 25.45723533630371)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9888803362846375, energy_trajectory=[1.1634724140167236, 1.1551127433776855, 1.149390697479248, 1.1438977718353271, 1.1385600566864014, 1.1333577632904053, 1.1282808780670166, 1.1233322620391846, 1.1185059547424316, 1.1140952110290527, 1.1095178127288818, 1.1050693988800049, 1.1007487773895264, 1.0966830253601074, 1.0926203727722168, 1.0886895656585693, 1.084890365600586, 1.081223487854004, 1.077836036682129, 1.0744342803955078, 1.0711681842803955, 1.068037986755371, 1.0650498867034912, 1.062204122543335, 1.0595207214355469, 1.0571081638336182, 1.0549371242523193, 1.052980899810791, 1.0512311458587646, 1.0498933792114258, 1.0484588146209717, 1.0471599102020264, 1.045985460281372, 1.0449144840240479, 1.0439350605010986, 1.0430347919464111, 1.0422027111053467, 1.0414254665374756, 1.0408518314361572, 1.0401592254638672, 1.0394985675811768, 1.0388634204864502, 1.038252592086792, 1.03765869140625, 1.0370819568634033, 1.0365190505981445, 1.035968542098999, 1.0354299545288086, 1.0349030494689941, 1.0343880653381348, 1.0338804721832275, 1.0335865020751953, 1.0331032276153564, 1.032632827758789, 1.0321741104125977, 1.031726360321045, 1.03128981590271, 1.0308644771575928, 1.0304505825042725, 1.0300469398498535, 1.029653549194336, 1.029832363128662, 1.0293636322021484, 1.029003620147705, 1.0297496318817139, 1.029369831085205, 1.0290014743804932, 1.0286426544189453, 1.0282926559448242, 1.0279514789581299, 1.027618646621704, 1.0272955894470215, 1.027008056640625, 1.0267584323883057, 1.0264599323272705, 1.0261456966400146, 1.0258057117462158, 1.0255329608917236, 1.0252690315246582, 1.0250146389007568, 1.024768352508545, 1.0241360664367676, 1.0239012241363525, 1.0236730575561523, 1.0234501361846924, 1.0232329368591309, 1.0230209827423096, 1.0228116512298584, 1.0216610431671143, 1.0214273929595947, 1.0212018489837646, 1.0209777355194092, 1.0207569599151611, 1.0205364227294922, 1.0203173160552979, 1.020073413848877, 1.0200200080871582, 1.0197997093200684, 1.019580602645874, 1.019359827041626, 1.0191402435302734, 1.0189194679260254, 1.0186710357666016, 1.0184459686279297, 1.0182173252105713, 1.017991065979004, 1.0177557468414307, 1.017526626586914, 1.017404317855835, 1.0171716213226318, 1.016939401626587, 1.0167076587677002, 1.0164744853973389, 1.0155713558197021, 1.0153391361236572, 1.0151069164276123, 1.014878273010254, 1.0146467685699463, 1.0144031047821045, 1.0141727924346924, 1.013944149017334, 1.013716459274292, 1.0134894847869873, 1.0132622718811035, 1.013037919998169, 1.0128130912780762, 1.0125880241394043, 1.0123639106750488, 1.0121395587921143, 1.0119149684906006, 1.011528730392456, 1.0113039016723633, 1.0110790729522705, 1.010852336883545, 1.0106267929077148, 1.0101451873779297, 1.0099174976348877, 1.0096909999847412, 1.009465217590332, 1.0092408657073975, 1.0090162754058838, 1.0087916851043701, 1.008568286895752, 1.0083439350128174, 1.0081207752227783, 1.007899522781372, 1.007439136505127, 1.007220983505249, 1.0069048404693604, 1.0066895484924316, 1.0066907405853271, 1.0058832168579102, 1.0056822299957275, 1.0054819583892822, 1.0052852630615234, 1.0050914287567139, 1.0049009323120117, 1.0047142505645752, 1.0045301914215088, 1.0043489933013916, 1.0041730403900146, 1.0035367012023926, 1.0033690929412842, 1.0032038688659668, 1.0030429363250732, 1.0028860569000244, 1.0027360916137695, 1.0024797916412354, 1.0023419857025146, 1.0022058486938477, 1.0020766258239746, 1.0019500255584717, 1.0018303394317627, 1.0016968250274658, 1.00136137008667, 1.0009982585906982, 1.0008957386016846, 1.000800371170044, 1.0007085800170898, 1.0006206035614014, 1.0005362033843994, 1.0004563331604004, 1.0003807544708252, 1.0003082752227783, 1.0002391338348389, 1.0001747608184814, 1.0001130104064941, 1.0000522136688232, 0.9999969601631165, 0.9999420046806335, 0.9998895525932312, 0.9998384118080139, 0.999790370464325, 0.9997444748878479, 0.9996998906135559, 0.9996557831764221, 0.9996152520179749, 0.9995761513710022, 0.999535858631134, 0.999499499797821, 0.9994636178016663, 0.9994292855262756, 0.9993955492973328, 0.9993628859519958, 0.9993364214897156, 0.9993064999580383, 0.9992778897285461, 0.9992499947547913, 0.9992236495018005, 0.9991973042488098, 0.9991726279258728, 0.9991490244865417, 0.9991269707679749, 0.9991057515144348, 0.999085009098053, 0.9990656971931458, 0.9990469813346863, 0.9990296959877014, 0.9990116953849792, 0.9989965558052063, 0.9989811778068542, 0.9989678263664246, 0.998954713344574, 0.9989436268806458, 0.9989318251609802, 0.998685896396637, 0.9986777901649475, 0.9986681342124939, 0.9986611008644104, 0.9986534714698792, 0.9986472725868225, 0.9987159371376038, 0.9987100958824158, 0.9987038969993591, 0.9986987709999084, 0.9986934065818787, 0.9986867308616638, 0.9986779093742371, 0.9986688494682312, 0.9986588358879089, 0.9986463189125061, 0.9986352324485779, 0.9986220002174377, 0.9986726641654968, 0.9986583590507507, 0.9986293911933899, 0.9986118674278259, 0.9985905289649963, 0.9985665678977966, 0.9985412955284119, 0.9985141158103943, 0.9984846711158752, 0.998451292514801, 0.9984143376350403, 0.9983760714530945, 0.9983345866203308, 0.9982895255088806, 0.9982406497001648, 0.9981885552406311, 0.998132050037384, 0.9980699419975281, 0.9979791045188904, 0.9979038834571838, 0.9973545670509338, 0.9972650408744812, 0.9971703886985779, 0.9970667958259583, 0.9969558119773865, 0.9968355298042297, 0.9966983199119568, 0.9965571761131287, 0.9964073300361633, 0.9962460398674011, 0.9960699677467346, 0.9958793520927429, 0.9956731200218201, 0.9954472184181213, 0.9952014088630676, 0.9949330687522888, 0.9946388602256775, 0.9943638443946838, 0.9939524531364441, 0.9935550093650818, 0.993019163608551, 0.9925619959831238, 0.9921050667762756, 0.9916501641273499, 0.9911765456199646, 0.9905144572257996, 0.9900937676429749, 0.9896473288536072, 0.9893509745597839, 0.9891014695167542, 0.9889131188392639, 0.9887775778770447, 0.9886814951896667, 0.9886220097541809, 0.9887683987617493, 0.988771378993988, 0.9888803362846375], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005362205673009157, -0.004378327634185553, 0.006224934011697769), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005545696709305048, -0.00493314815685153, 0.0027911688666790724), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00039639772148802876, 0.006357986945658922, 0.0017080637626349926), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006319187581539154, -0.004710085224360228, 0.004544923081994057), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006578564178198576, -0.004383409861475229, 0.0062470766715705395), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005759493447840214, -0.003485633060336113, 0.007325560785830021), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005333736073225737, -0.008268109522759914, 0.00403915299102664), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0073889256455004215, 0.0038417186588048935, 0.015866462141275406), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010318335145711899, 0.0006579817272722721, 0.0021253747399896383), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004097437486052513, 0.015846088528633118, 0.02218969352543354), (0.01344536617398262, -0.0007389800157397985, -0.005270454101264477)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=9, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4429353475570679, 2.4379844665527344, 23.050315856933594), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.027263209223747253, 4.888563632965088, 23.04488754272461), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.390072226524353, 7.3228960037231445, 23.062606811523438), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.23197603225708, 2.4377260208129883, 23.0386905670166), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8421761989593506, 4.878350257873535, 23.06503677368164), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4225133657455444, 7.304701805114746, 23.0435733795166), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.077036380767822, 2.425248384475708, 23.141550064086914), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.652917861938477, 4.895541191101074, 23.042665481567383), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.260692596435547, 7.307978630065918, 23.047670364379883), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-1.4882813692092896, 2.458674669265747, 25.13899803161621), (-0.5643590092658997, 2.459263324737549, 25.46600914001465)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9878910183906555, energy_trajectory=[1.210092544555664, 1.201049566268921, 1.1945219039916992, 1.1882448196411133, 1.182236909866333, 1.1763875484466553, 1.1707370281219482, 1.1650898456573486, 1.159508466720581, 1.1541931629180908, 1.1490111351013184, 1.1439669132232666, 1.1390602588653564, 1.1342964172363281, 1.1296734809875488, 1.1251964569091797, 1.1208868026733398, 1.1166977882385254, 1.1126580238342285, 1.1087641716003418, 1.1050186157226562, 1.1014235019683838, 1.0979797840118408, 1.0946924686431885, 1.0915913581848145, 1.0886263847351074, 1.0858867168426514, 1.0827317237854004, 1.080435037612915, 1.0784130096435547, 1.0770409107208252, 1.0754356384277344, 1.074007511138916, 1.0727307796478271, 1.0715820789337158, 1.0705385208129883, 1.069584608078003, 1.0687041282653809, 1.0679316520690918, 1.0671613216400146, 1.0664331912994385, 1.0657408237457275, 1.0650646686553955, 1.0644290447235107, 1.0638179779052734, 1.0632264614105225, 1.0625786781311035, 1.0615227222442627, 1.060931921005249, 1.0603582859039307, 1.0598011016845703, 1.059255838394165, 1.0587255954742432, 1.0582072734832764, 1.0577023029327393, 1.05720853805542, 1.0567255020141602, 1.0562524795532227, 1.0557892322540283, 1.0553359985351562, 1.0549399852752686, 1.054502248764038, 1.0540716648101807, 1.0536651611328125, 1.053246259689331, 1.0528342723846436, 1.0524263381958008, 1.0520224571228027, 1.0516231060028076, 1.0512256622314453, 1.050832986831665, 1.050443172454834, 1.050055742263794, 1.049670934677124, 1.049290657043457, 1.0489130020141602, 1.048290729522705, 1.0479204654693604, 1.047555923461914, 1.0471315383911133, 1.046776533126831, 1.046424150466919, 1.0460751056671143, 1.0457265377044678, 1.045382022857666, 1.0450382232666016, 1.0446958541870117, 1.0443549156188965, 1.0440154075622559, 1.0436763763427734, 1.043335199356079, 1.042994737625122, 1.0426523685455322, 1.0423104763031006, 1.0419673919677734, 1.0416476726531982, 1.04129958152771, 1.0409514904022217, 1.040602207183838, 1.0402569770812988, 1.0399045944213867, 1.0395517349243164, 1.0391933917999268, 1.038832426071167, 1.0384681224822998, 1.038099765777588, 1.0377285480499268, 1.0373563766479492, 1.0369799137115479, 1.036604642868042, 1.0362260341644287, 1.035844326019287, 1.035461664199829, 1.0350775718688965, 1.0346901416778564, 1.0341780185699463, 1.0337891578674316, 1.033398151397705, 1.0330073833465576, 1.03261399269104, 1.0322210788726807, 1.0318269729614258, 1.031433343887329, 1.0310389995574951, 1.030644178390503, 1.0302503108978271, 1.0298552513122559, 1.0294616222381592, 1.029066562652588, 1.028672218322754, 1.02827787399292, 1.0277903079986572, 1.0273966789245605, 1.0270018577575684, 1.0266070365905762, 1.0261421203613281, 1.0257465839385986, 1.0253496170043945, 1.0249552726745605, 1.0245602130889893, 1.0241661071777344, 1.023770809173584, 1.0233781337738037, 1.0227973461151123, 1.0224275588989258, 1.0220353603363037, 1.0213580131530762, 1.0209684371948242, 1.0205810070037842, 1.0201952457427979, 1.0198109149932861, 1.0194292068481445, 1.0190503597259521, 1.0186738967895508, 1.0181846618652344, 1.017810344696045, 1.0174384117126465, 1.0170693397521973, 1.0167031288146973, 1.016336441040039, 1.015974521636963, 1.0156164169311523, 1.0152618885040283, 1.0149099826812744, 1.014561414718628, 1.0142159461975098, 1.013873815536499, 1.0135350227355957, 1.013199806213379, 1.012866735458374, 1.0125391483306885, 1.0122125148773193, 1.011890172958374, 1.0115711688995361, 1.0112555027008057, 1.0108487606048584, 1.0105400085449219, 1.010232925415039, 1.00993013381958, 1.0096311569213867, 1.0093348026275635, 1.0090422630310059, 1.008754014968872, 1.0084681510925293, 1.0081865787506104, 1.007910966873169, 1.0076375007629395, 1.0073678493499756, 1.0071020126342773, 1.0068402290344238, 1.0065817832946777, 1.0063281059265137, 1.0060770511627197, 1.0058321952819824, 1.0055902004241943, 1.0053510665893555, 1.0051167011260986, 1.0048861503601074, 1.0046584606170654, 1.0044360160827637, 1.0042173862457275, 1.004002332687378, 1.0037899017333984, 1.0035817623138428, 1.0033788681030273, 1.003178596496582, 1.0029809474945068, 1.0027861595153809, 1.0025956630706787, 1.0024094581604004, 1.0021910667419434, 1.0020112991333008, 1.0018346309661865, 1.0016608238220215, 1.0014898777008057, 1.0012755393981934, 1.001112699508667, 1.000953197479248, 1.0007963180541992, 1.0006420612335205, 1.0004920959472656, 1.0003447532653809, 1.0002007484436035, 1.0000619888305664, 0.9999244809150696, 0.9996307492256165, 0.9994943737983704, 0.9993628859519958, 0.9992340207099915, 0.9991088509559631, 0.9989877343177795, 0.9988691210746765, 0.99875408411026, 0.9986425042152405, 0.9985353350639343, 0.9984299540519714, 0.9983263611793518, 0.9982263445854187, 0.9981556534767151, 0.9980594515800476, 0.9979661107063293, 0.997874915599823, 0.9977867007255554, 0.9976999163627625, 0.9976125359535217, 0.9975276589393616, 0.9974424242973328, 0.9973577857017517, 0.997272789478302, 0.9971838593482971, 0.9970946907997131, 0.9970046877861023, 0.9969119429588318, 0.9968163371086121, 0.9967191815376282, 0.9966174960136414, 0.996513307094574, 0.9964038729667664, 0.9963211417198181, 0.9962032437324524, 0.9960823655128479, 0.995954692363739, 0.9958215355873108, 0.9957804083824158, 0.9956315159797668, 0.9954760670661926, 0.9951314330101013, 0.994953453540802, 0.9947646260261536, 0.9945686459541321, 0.9943614602088928, 0.994143545627594, 0.9937790036201477, 0.993534505367279, 0.9932742714881897, 0.9929996132850647, 0.9927276968955994, 0.9924201369285583, 0.9920950531959534, 0.9917537569999695, 0.9913942217826843, 0.9911178946495056, 0.990591824054718, 0.9904124140739441, 0.9899440407752991, 0.9893998503684998, 0.9889232516288757, 0.9886488318443298, 0.9882655739784241, 0.9880487322807312, 0.9877989888191223, 0.9876654744148254, 0.9873839020729065, 0.9873175024986267, 0.9872949719429016, 0.9873055815696716, 0.9873451590538025, 0.9875980019569397, 0.9877917170524597, 0.9878910183906555], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00018890642968472093, -0.00042304652743041515, -0.0011298235040158033), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003724177833646536, 0.003821444697678089, 0.0010188078740611672), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005579660646617413, 7.75426178734051e-06, 0.0020464654080569744), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00770413875579834, 0.00034146616235375404, 0.0018638342153280973), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005711003672331572, -0.0002343070664210245, 0.001541589736007154), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006794682238250971, -0.0020795331802219152, 0.0011484598508104682), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0012099187588319182, -0.00040590643766336143, 0.0021540955640375614), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0073660290800035, 0.002124412916600704, 0.0008120763814076781), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004321728833019733, -0.0027840631082654, 0.00026741938199847937), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0025883144699037075, -0.0037902488838881254, 0.0052528358064591885), (0.009529560804367065, -0.0024743101093918085, -0.00426995987072587)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=10, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3655093908309937, 2.3483567237854004, 23.081727981567383), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.08346030861139297, 4.862070083618164, 23.098941802978516), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4353634119033813, 7.294236183166504, 23.057785034179688), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.206192493438721, 2.4125852584838867, 23.059616088867188), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.865614891052246, 4.9009270668029785, 22.998212814331055), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3795844316482544, 7.298130035400391, 23.061655044555664), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.96754264831543, 2.3814239501953125, 23.026391983032227), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.604266166687012, 4.856247901916504, 23.082965850830078), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.1976542472839355, 7.289320468902588, 23.08066749572754), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (0.8462100625038147, 3.658212423324585, 24.719371795654297), (0.11381266266107559, 3.196672201156616, 25.18433952331543)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0827269554138184, energy_trajectory=[1.9159495830535889, 1.9050917625427246, 1.8962464332580566, 1.8875951766967773, 1.8798537254333496, 1.8722772598266602, 1.8649318218231201, 1.857801914215088, 1.8508553504943848, 1.8439016342163086, 1.8373429775238037, 1.8312256336212158, 1.8247530460357666, 1.8183529376983643, 1.812077283859253, 1.8057746887207031, 1.7995147705078125, 1.7932953834533691, 1.7874414920806885, 1.7812933921813965, 1.7751717567443848, 1.7690725326538086, 1.7629950046539307, 1.756937026977539, 1.750898838043213, 1.744882345199585, 1.7389414310455322, 1.7329802513122559, 1.7270450592041016, 1.7209057807922363, 1.7150280475616455, 1.7091832160949707, 1.7033696174621582, 1.6975903511047363, 1.6918411254882812, 1.686124563217163, 1.6804394721984863, 1.6747848987579346, 1.6691617965698242, 1.663567304611206, 1.658001184463501, 1.6524648666381836, 1.6469554901123047, 1.6415927410125732, 1.6361825466156006, 1.6308510303497314, 1.625594139099121, 1.6204111576080322, 1.6152961254119873, 1.6102495193481445, 1.605269193649292, 1.6003499031066895, 1.5954921245574951, 1.5906932353973389, 1.585951566696167, 1.5816938877105713, 1.5770635604858398, 1.5724854469299316, 1.5679583549499512, 1.5634822845458984, 1.559053897857666, 1.5546770095825195, 1.5503451824188232, 1.5460617542266846, 1.541825532913208, 1.537585973739624, 1.5334384441375732, 1.5293335914611816, 1.5252749919891357, 1.5212585926055908, 1.5172860622406006, 1.513484239578247, 1.5095958709716797, 1.5057461261749268, 1.501936674118042, 1.4981658458709717, 1.4944322109222412, 1.4907355308532715, 1.4870758056640625, 1.483452558517456, 1.4798650741577148, 1.4762697219848633, 1.4727554321289062, 1.4692771434783936, 1.4658327102661133, 1.4624230861663818, 1.4590435028076172, 1.4556987285614014, 1.4523863792419434, 1.4491055011749268, 1.4458568096160889, 1.4421601295471191, 1.438969612121582, 1.435807704925537, 1.4326739311218262, 1.429567813873291, 1.4266810417175293, 1.4236292839050293, 1.4206023216247559, 1.417600393295288, 1.4146225452423096, 1.4116706848144531, 1.4087390899658203, 1.405829906463623, 1.402942180633545, 1.400073528289795, 1.3970990180969238, 1.3942687511444092, 1.3914527893066406, 1.3886566162109375, 1.385878086090088, 1.3831138610839844, 1.380366325378418, 1.3776335716247559, 1.3749151229858398, 1.3722114562988281, 1.369523048400879, 1.3668475151062012, 1.364184856414795, 1.361534833908081, 1.3588969707489014, 1.3562712669372559, 1.3536581993103027, 1.35105562210083, 1.3484647274017334, 1.345883846282959, 1.343315601348877, 1.3407559394836426, 1.3382065296173096, 1.3356657028198242, 1.333134651184082, 1.3299267292022705, 1.3274199962615967, 1.324923038482666, 1.3224329948425293, 1.3199501037597656, 1.3174753189086914, 1.3150064945220947, 1.3123219013214111, 1.3098645210266113, 1.3074138164520264, 1.3049676418304443, 1.3025271892547607, 1.3000943660736084, 1.2976644039154053, 1.2952406406402588, 1.292820930480957, 1.2904064655303955, 1.2879960536956787, 1.285590648651123, 1.2831897735595703, 1.2807934284210205, 1.2784020900726318, 1.2760140895843506, 1.2736303806304932, 1.271252155303955, 1.2688803672790527, 1.2665119171142578, 1.2639210224151611, 1.2615725994110107, 1.2592294216156006, 1.2568929195404053, 1.2545630931854248, 1.252242088317871, 1.2499265670776367, 1.2476203441619873, 1.2453227043151855, 1.2429203987121582, 1.2406394481658936, 1.2383708953857422, 1.2361106872558594, 1.233656883239746, 1.2314176559448242, 1.2291913032531738, 1.2269768714904785, 1.2243545055389404, 1.2221612930297852, 1.2199814319610596, 1.217820644378662, 1.215756893157959, 1.2136168479919434, 1.2114918231964111, 1.2093806266784668, 1.2072834968566895, 1.2049288749694824, 1.2028579711914062, 1.200800895690918, 1.1987972259521484, 1.1964948177337646, 1.1944794654846191, 1.1924805641174316, 1.19049072265625, 1.1885218620300293, 1.1865668296813965, 1.1846275329589844, 1.1827030181884766, 1.1807935237884521, 1.178990364074707, 1.1771175861358643, 1.1752607822418213, 1.1734187602996826, 1.171593189239502, 1.1697840690612793, 1.1679916381835938, 1.1662137508392334, 1.1646127700805664, 1.1628687381744385, 1.1611452102661133, 1.1594388484954834, 1.1577508449554443, 1.1560823917388916, 1.1544325351715088, 1.152803897857666, 1.1511931419372559, 1.149604320526123, 1.1480348110198975, 1.1464872360229492, 1.1449594497680664, 1.1434540748596191, 1.1419708728790283, 1.1405084133148193, 1.139068603515625, 1.137732744216919, 1.1363379955291748, 1.1349670886993408, 1.1335322856903076, 1.1322083473205566, 1.130908727645874, 1.129631519317627, 1.1283786296844482, 1.1271483898162842, 1.1259417533874512, 1.124652624130249, 1.1234934329986572, 1.1223571300506592, 1.121246099472046, 1.12015700340271, 1.1190929412841797, 1.1179533004760742, 1.1169312000274658, 1.1159343719482422, 1.1149611473083496, 1.1140110492706299, 1.1130850315093994, 1.1121809482574463, 1.1112992763519287, 1.110539197921753, 1.1097018718719482, 1.10888671875, 1.1080913543701172, 1.1073150634765625, 1.1061322689056396, 1.105396032333374, 1.1046772003173828, 1.1039776802062988, 1.1032969951629639, 1.1026313304901123, 1.1019823551177979, 1.101348638534546, 1.1007299423217773, 1.1001248359680176, 1.0995333194732666, 1.0990509986877441, 1.0984137058258057, 1.0978562831878662, 1.0973079204559326, 1.096771001815796, 1.0962433815002441, 1.0957257747650146, 1.0952181816101074, 1.0945377349853516, 1.0940446853637695, 1.0935602188110352, 1.093083381652832, 1.092611312866211, 1.0921454429626465, 1.091684341430664, 1.0912246704101562, 1.0907700061798096, 1.090315818786621, 1.089979887008667, 1.0895276069641113, 1.0890758037567139, 1.0886237621307373, 1.0881714820861816, 1.0877220630645752, 1.0870757102966309, 1.0866341590881348, 1.0862045288085938, 1.085632562637329, 1.0852422714233398, 1.084876537322998, 1.084216594696045, 1.0839195251464844, 1.0836594104766846, 1.0834293365478516, 1.0832252502441406, 1.0830423831939697, 1.0828773975372314, 1.0827269554138184], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0027313583996146917, -0.011658133938908577, 5.635521301883273e-05), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016381995752453804, 0.004984550178050995, -0.0048128655180335045), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008528000675141811, 0.0029168850742280483, 8.202731987694278e-05), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002601475454866886, -0.0023371437564492226, 0.0010512456065043807), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003658408299088478, 0.0012918371940031648, -0.001350406208075583), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002395168412476778, 0.004699052777141333, 0.0016242738347500563), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.017106767743825912, -0.00866673979908228, -0.004356682300567627), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008980564773082733, -0.0020656080450862646, 0.0003373272775206715), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006630766671150923, -0.005272751674056053, 0.0017674132250249386), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011737260036170483, 0.006438071373850107, 0.01762552000582218), (-0.053428053855895996, 0.028519263491034508, -0.0026978489477187395)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=11, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4272805452346802, 2.4315309524536133, 23.058870315551758), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.012205339968204498, 4.865592956542969, 23.047924041748047), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4083205461502075, 7.318660736083984, 23.050453186035156), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.2358551025390625, 2.4500880241394043, 23.040891647338867), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8422820568084717, 4.865147113800049, 23.044408798217773), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4144246578216553, 7.320806503295898, 23.150941848754883), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.081712245941162, 2.4496920108795166, 23.037954330444336), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.6593546867370605, 4.876805782318115, 23.0587215423584), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.266556739807129, 7.318153381347656, 23.037872314453125), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.5344910621643066, 7.392620086669922, 25.146465301513672), (0.6579710245132446, 7.670689105987549, 25.485671997070312)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9926699995994568, energy_trajectory=[1.273036003112793, 1.2631964683532715, 1.2565860748291016, 1.2504098415374756, 1.244039535522461, 1.2376861572265625, 1.2313659191131592, 1.2250192165374756, 1.2187366485595703, 1.2124857902526855, 1.2062532901763916, 1.2000651359558105, 1.1939313411712646, 1.1878509521484375, 1.1818335056304932, 1.1758852005004883, 1.1700081825256348, 1.1642122268676758, 1.1585032939910889, 1.1528820991516113, 1.1473569869995117, 1.1421515941619873, 1.1366856098175049, 1.1314613819122314, 1.1263446807861328, 1.121366262435913, 1.1164648532867432, 1.1117143630981445, 1.1071193218231201, 1.1026809215545654, 1.098437786102295, 1.0943031311035156, 1.0917153358459473, 1.0878665447235107, 1.0841617584228516, 1.0805983543395996, 1.0771725177764893, 1.0739538669586182, 1.0708022117614746, 1.0677847862243652, 1.0648987293243408, 1.0621421337127686, 1.0595121383666992, 1.0571177005767822, 1.0547351837158203, 1.052471399307251, 1.0503242015838623, 1.0482861995697021, 1.0463588237762451, 1.0445375442504883, 1.0428194999694824, 1.041201114654541, 1.0396778583526611, 1.0380475521087646, 1.0374865531921387, 1.0362300872802734, 1.035057783126831, 1.0339255332946777, 1.0329093933105469, 1.0319204330444336, 1.0310478210449219, 1.0302424430847168, 1.0295007228851318, 1.0288200378417969, 1.028264045715332, 1.0276954174041748, 1.0271801948547363, 1.0267131328582764, 1.0262935161590576, 1.0259203910827637, 1.025590181350708, 1.0253033638000488, 1.0250589847564697, 1.02485990524292, 1.0247080326080322, 1.0246095657348633, 1.0245628356933594, 1.0245707035064697, 1.0246305465698242, 1.0247437953948975, 1.024904489517212, 1.025111198425293, 1.0253608226776123, 1.0256564617156982, 1.0259730815887451, 1.0261108875274658, 1.0264766216278076, 1.0259854793548584, 1.026364803314209, 1.0265774726867676, 1.0269763469696045, 1.0273778438568115, 1.0277786254882812, 1.0281779766082764, 1.028571367263794, 1.0289602279663086, 1.029341697692871, 1.0297141075134277, 1.0300788879394531, 1.0304312705993652, 1.0307745933532715, 1.03110671043396, 1.0314271450042725, 1.0322635173797607, 1.0325596332550049, 1.0328431129455566, 1.0333988666534424, 1.0336575508117676, 1.0339043140411377, 1.0340499877929688, 1.0342731475830078, 1.034484624862671, 1.0344457626342773, 1.0346317291259766, 1.0348057746887207, 1.0349678993225098, 1.0351173877716064, 1.0352554321289062, 1.0353813171386719, 1.0354974269866943, 1.0356011390686035, 1.035693645477295, 1.035776138305664, 1.0357491970062256, 1.0358099937438965, 1.0358600616455078, 1.0358998775482178, 1.0359306335449219, 1.0359535217285156, 1.035965919494629, 1.0359702110290527, 1.0359649658203125, 1.035947561264038, 1.035921335220337, 1.035810947418213, 1.035771369934082, 1.0357234477996826, 1.0356688499450684, 1.0356054306030273, 1.0355348587036133, 1.0354564189910889, 1.0353686809539795, 1.0352742671966553, 1.035170316696167, 1.0350582599639893, 1.0349385738372803, 1.0348131656646729, 1.0344085693359375, 1.0342671871185303, 1.0341191291809082, 1.0339646339416504, 1.0338034629821777, 1.0336353778839111, 1.0334594249725342, 1.0332777500152588, 1.0330820083618164, 1.0328869819641113, 1.0326838493347168, 1.0324740409851074, 1.0322518348693848, 1.0320236682891846, 1.0317893028259277, 1.031548023223877, 1.0315306186676025, 1.0312745571136475, 1.0310132503509521, 1.0307443141937256, 1.030470609664917, 1.0301892757415771, 1.0298810005187988, 1.0295870304107666, 1.0291290283203125, 1.0288231372833252, 1.0285108089447021, 1.028191328048706, 1.027468204498291, 1.027137279510498, 1.0268371105194092, 1.0264930725097656, 1.0261411666870117, 1.0256645679473877, 1.0252978801727295, 1.0249240398406982, 1.0245435237884521, 1.0241568088531494, 1.023766040802002, 1.0233685970306396, 1.0229432582855225, 1.0225355625152588, 1.0222625732421875, 1.0218415260314941, 1.0214152336120605, 1.0209813117980957, 1.0205419063568115, 1.0200974941253662, 1.0196483135223389, 1.0191972255706787, 1.0187387466430664, 1.0182714462280273, 1.0178027153015137, 1.0166287422180176, 1.0161559581756592, 1.015681266784668, 1.0152060985565186, 1.0147275924682617, 1.0142483711242676, 1.0137660503387451, 1.013284683227539, 1.0128018856048584, 1.0123178958892822, 1.0118343830108643, 1.0114185810089111, 1.0109341144561768, 1.0104496479034424, 1.009965181350708, 1.0094809532165527, 1.009000301361084, 1.0085184574127197, 1.008040189743042, 1.007561445236206, 1.0070858001708984, 1.0065090656280518, 1.0060398578643799, 1.0055723190307617, 1.004828929901123, 1.0043683052062988, 1.0039122104644775, 1.0034608840942383, 1.003014326095581, 1.0025715827941895, 1.0021355152130127, 1.0017056465148926, 1.0012829303741455, 1.0008676052093506, 1.0004866123199463, 0.9999108910560608, 0.9995245337486267, 0.9991479516029358, 0.9987818598747253, 0.9984291195869446, 0.9979668259620667, 0.9976369738578796, 0.9967934489250183, 0.996487557888031, 0.9961951375007629, 0.9959163069725037, 0.9961008429527283, 0.9958512187004089, 0.9956179261207581, 0.9953573346138, 0.9950806498527527, 0.9951083064079285, 0.9949371218681335, 0.9947789311408997, 0.9946362376213074, 0.9945083260536194, 0.9943905472755432, 0.9942825436592102, 0.9941877722740173, 0.9941021800041199, 0.9940280318260193, 0.9938084483146667, 0.9937514662742615, 0.9937036633491516, 0.9936656355857849, 0.9936372637748718, 0.9936209321022034, 0.9936149716377258, 0.9936218857765198, 0.9936397671699524, 0.9934659600257874, 0.9935000538825989, 0.9935439229011536, 0.993596613407135, 0.9936537146568298, 0.9937117695808411, 0.9938306212425232, 0.993877112865448, 0.9939104914665222, 0.9939274191856384, 0.9938533902168274, 0.9938343167304993, 0.993797242641449, 0.9937261939048767, 0.9935460686683655, 0.9934588074684143, 0.9933401942253113, 0.9932146668434143, 0.9932274222373962, 0.993543803691864, 0.9937590956687927, 0.9932741522789001, 0.9931501746177673, 0.9934043288230896, 0.9933697581291199, 0.9931966662406921, 0.9931630492210388, 0.9925159811973572, 0.9925139546394348, 0.9926699995994568], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008405421860516071, 0.008303648792207241, 0.021604977548122406), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015638655051589012, -0.006487136706709862, 0.0038034142926335335), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015229304321110249, 0.010989050380885601, 0.00199717003852129), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0075513566844165325, 0.004974123556166887, 0.011045491322875023), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00040930125396698713, -0.008133179508149624, 0.003407436655834317), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01413202378898859, -0.010248887352645397, 0.006331197451800108), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007005354389548302, 0.007251814007759094, 0.011294692754745483), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00781644694507122, 0.005239408928900957, 0.015087579376995564), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0020243246108293533, 0.010871527716517448, 0.010262846946716309), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011950714513659477, -0.02440420724451542, 0.024726836010813713), (-0.020787712186574936, -0.00817603524774313, -0.051581744104623795)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=12, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3897703886032104, 2.452594041824341, 23.069705963134766), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.0011384112294763327, 4.896693229675293, 23.049470901489258), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4179948568344116, 7.355459690093994, 23.049152374267578), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.202208518981934, 2.4318184852600098, 23.050188064575195), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.784724473953247, 4.895666122436523, 23.043121337890625), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3913131952285767, 7.3391337394714355, 23.073883056640625), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.042571544647217, 2.4328417778015137, 23.04849624633789), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.630094528198242, 4.8918046951293945, 23.14117431640625), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.20324182510376, 7.3537445068359375, 23.044328689575195), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.619437217712402, 4.875783443450928, 25.14073944091797), (4.808444023132324, 5.363770008087158, 25.397932052612305)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0007421970367432, energy_trajectory=[1.5081233978271484, 1.4991703033447266, 1.4913372993469238, 1.4834575653076172, 1.4757664203643799, 1.4675700664520264, 1.4593262672424316, 1.4514391422271729, 1.444225788116455, 1.4362401962280273, 1.4282195568084717, 1.420173168182373, 1.4121792316436768, 1.4043734073638916, 1.3967409133911133, 1.3895957469940186, 1.382286548614502, 1.3751261234283447, 1.3681106567382812, 1.3612325191497803, 1.3544881343841553, 1.3478724956512451, 1.341383695602417, 1.335172414779663, 1.3289172649383545, 1.3227760791778564, 1.3167471885681152, 1.3109545707702637, 1.3051388263702393, 1.2994248867034912, 1.2941911220550537, 1.288532018661499, 1.283210277557373, 1.2778291702270508, 1.2726197242736816, 1.2675042152404785, 1.2624788284301758, 1.257784366607666, 1.2529380321502686, 1.2481787204742432, 1.2435059547424316, 1.2389187812805176, 1.2344155311584473, 1.2297956943511963, 1.2254610061645508, 1.221208095550537, 1.2170331478118896, 1.2130227088928223, 1.2090013027191162, 1.2051007747650146, 1.2012290954589844, 1.1972837448120117, 1.1935601234436035, 1.1899089813232422, 1.1863276958465576, 1.1828160285949707, 1.1793756484985352, 1.1759366989135742, 1.1726322174072266, 1.169396162033081, 1.1662302017211914, 1.1631321907043457, 1.1600992679595947, 1.157135248184204, 1.154238224029541, 1.1514062881469727, 1.1487276554107666, 1.1460278034210205, 1.1433897018432617, 1.1408178806304932, 1.1383113861083984, 1.1358728408813477, 1.1335015296936035, 1.1311943531036377, 1.129138708114624, 1.1269574165344238, 1.12483549118042, 1.122774362564087, 1.1207695007324219, 1.1188247203826904, 1.1169297695159912, 1.115088701248169, 1.1133298873901367, 1.111591100692749, 1.1098988056182861, 1.1082532405853271, 1.106652021408081, 1.1050949096679688, 1.10357666015625, 1.1020987033843994, 1.1006577014923096, 1.0992248058319092, 1.0978577136993408, 1.096522569656372, 1.0952963829040527, 1.0937886238098145, 1.0925462245941162, 1.0913336277008057, 1.09014892578125, 1.0888972282409668, 1.0877668857574463, 1.0870399475097656, 1.0859153270721436, 1.0848181247711182, 1.0837433338165283, 1.0826942920684814, 1.0817978382110596, 1.0808658599853516, 1.0798931121826172, 1.0789449214935303, 1.0780222415924072, 1.0774929523468018, 1.076617956161499, 1.075972557067871, 1.075148344039917, 1.074347734451294, 1.0735700130462646, 1.072812795639038, 1.0720767974853516, 1.0713627338409424, 1.0706658363342285, 1.0699882507324219, 1.0693271160125732, 1.0686843395233154, 1.0680553913116455, 1.067441701889038, 1.0668396949768066, 1.0662498474121094, 1.0656712055206299, 1.0651025772094727, 1.0645413398742676, 1.063988447189331, 1.0624032020568848, 1.0618274211883545, 1.0612609386444092, 1.0609064102172852, 1.0601444244384766, 1.0597984790802002, 1.0592539310455322, 1.0585112571716309, 1.0581765174865723, 1.0576450824737549, 1.0571177005767822, 1.0563969612121582, 1.0560741424560547, 1.0555577278137207, 1.0548081398010254, 1.0542945861816406, 1.053910255432129, 1.0534007549285889, 1.052891492843628, 1.0523862838745117, 1.0518817901611328, 1.0513794422149658, 1.0508790016174316, 1.0503816604614258, 1.0498840808868408, 1.0493905544281006, 1.0488970279693604, 1.0484061241149902, 1.047917366027832, 1.0474281311035156, 1.046940803527832, 1.0464560985565186, 1.0459709167480469, 1.0454885959625244, 1.0450055599212646, 1.04425048828125, 1.0437674522399902, 1.0432872772216797, 1.0428073406219482, 1.0423283576965332, 1.0418508052825928, 1.0413751602172852, 1.0408995151519775, 1.0404250621795654, 1.0399513244628906, 1.0394773483276367, 1.0390067100524902, 1.0385382175445557, 1.0380706787109375, 1.0376060009002686, 1.0371427536010742, 1.0366816520690918, 1.0362226963043213, 1.0357666015625, 1.035311222076416, 1.0348601341247559, 1.0344116687774658, 1.0339031219482422, 1.0334596633911133, 1.0330209732055664, 1.032583475112915, 1.032033920288086, 1.0316035747528076, 1.031174898147583, 1.0307486057281494, 1.0300371646881104, 1.0296170711517334, 1.0292000770568848, 1.0287864208221436, 1.0283734798431396, 1.0279650688171387, 1.0275585651397705, 1.0270626544952393, 1.026660442352295, 1.0262603759765625, 1.0257480144500732, 1.025353193283081, 1.024961233139038, 1.0246646404266357, 1.0242784023284912, 1.0238933563232422, 1.023510456085205, 1.0231304168701172, 1.022752046585083, 1.0223767757415771, 1.022003412246704, 1.021632194519043, 1.0212624073028564, 1.0208954811096191, 1.0205304622650146, 1.020167350769043, 1.0198071002960205, 1.0194485187530518, 1.0190913677215576, 1.018737554550171, 1.0183956623077393, 1.01814866065979, 1.0178005695343018, 1.0174551010131836, 1.0171113014221191, 1.0167691707611084, 1.0164294242858887, 1.016092300415039, 1.0157580375671387, 1.0153744220733643, 1.015044927597046, 1.0150978565216064, 1.0147736072540283, 1.0144526958465576, 1.0136728286743164, 1.0133552551269531, 1.0130400657653809, 1.0127270221710205, 1.0124175548553467, 1.012110710144043, 1.0118060111999512, 1.011505365371704, 1.0112082958221436, 1.0109140872955322, 1.010622262954712, 1.0103347301483154, 1.0100500583648682, 1.0097692012786865, 1.0094921588897705, 1.0092179775238037, 1.0089471340179443, 1.0086822509765625, 1.0084190368652344, 1.0081603527069092, 1.0079059600830078, 1.0076541900634766, 1.0074071884155273, 1.007162094116211, 1.0069231986999512, 1.006687879562378, 1.0064549446105957, 1.0062758922576904, 1.005979299545288, 1.0057549476623535, 1.0055358409881592, 1.0053203105926514, 1.0051090717315674, 1.0049004554748535, 1.0046954154968262, 1.0044944286346436, 1.0042965412139893, 1.0041019916534424, 1.0039103031158447, 1.0037205219268799, 1.0035343170166016, 1.003350019454956, 1.003169059753418, 1.0029888153076172, 1.0028102397918701, 1.0026321411132812, 1.0024559497833252, 1.0022811889648438, 1.00239896774292, 1.0022261142730713, 1.0020551681518555, 1.0018835067749023, 1.0017154216766357, 1.001544713973999, 1.0013511180877686, 1.0011825561523438, 1.0010137557983398, 1.0008440017700195, 1.0007421970367432], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009254351258277893, -0.004694562871009111, -0.004818984307348728), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0069219195283949375, -0.0049617476761341095, -0.005512984003871679), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006235774606466293, -0.0076212515123188496, -0.0044504618272185326), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01066377479583025, -0.0008956789970397949, -0.003655536798760295), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01308717392385006, -0.005024008918553591, 0.0014936195220798254), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008698942139744759, -0.00508752791211009, -0.00629899138584733), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007923532277345657, -0.0025265596341341734, -0.0055853272788226604), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0069318837486207485, -0.005517828743904829, -0.0043669757433235645), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009812404401600361, -0.00887212809175253, 0.0005849473527632654), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005281274672597647, 0.0064908890053629875, -0.005857548676431179), (0.019941797479987144, -0.012959564104676247, 0.045343171805143356)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=13, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4346078634262085, 2.4266819953918457, 23.076940536499023), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.021721167489886284, 4.869662284851074, 23.05661392211914), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3955624103546143, 7.315598964691162, 23.051712036132812), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.226810455322266, 2.4554316997528076, 23.025915145874023), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.847158908843994, 4.858694553375244, 23.0638370513916), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4702057838439941, 7.300808429718018, 23.149457931518555), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.100032806396484, 2.4606258869171143, 23.04208755493164), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.667846202850342, 4.874362945556641, 23.06617546081543), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.291484832763672, 7.309380054473877, 23.04364013671875), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.838023662567139, 0.5614175200462341, 25.07135581970215), (6.768013954162598, 0.41063159704208374, 25.35062026977539)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0656983852386475, energy_trajectory=[1.5047032833099365, 1.4957067966461182, 1.4886548519134521, 1.481733798980713, 1.4750337600708008, 1.4685420989990234, 1.462242841720581, 1.4561188220977783, 1.4501566886901855, 1.4443411827087402, 1.4386615753173828, 1.433105230331421, 1.4276695251464844, 1.4223415851593018, 1.4171180725097656, 1.4119939804077148, 1.4072742462158203, 1.4024741649627686, 1.3976149559020996, 1.3928368091583252, 1.3882160186767578, 1.3835902214050293, 1.3790361881256104, 1.3745520114898682, 1.3701870441436768, 1.3658277988433838, 1.36153244972229, 1.3573012351989746, 1.3531324863433838, 1.3490221500396729, 1.3449692726135254, 1.340972661972046, 1.337031364440918, 1.3331446647644043, 1.3293111324310303, 1.3255300521850586, 1.3217213153839111, 1.3180406093597412, 1.31404709815979, 1.3104596138000488, 1.3068788051605225, 1.3035385608673096, 1.3001091480255127, 1.2967257499694824, 1.2933902740478516, 1.2901008129119873, 1.2868144512176514, 1.283616065979004, 1.2804627418518066, 1.2773540019989014, 1.2741506099700928, 1.2711279392242432, 1.26814866065979, 1.265211582183838, 1.2623167037963867, 1.2595412731170654, 1.256727933883667, 1.253955602645874, 1.2511935234069824, 1.2485008239746094, 1.2458469867706299, 1.2432315349578857, 1.240654706954956, 1.2381153106689453, 1.2356135845184326, 1.232970952987671, 1.230149745941162, 1.2277579307556152, 1.2254018783569336, 1.2230794429779053, 1.220792293548584, 1.218538522720337, 1.2163190841674805, 1.21413254737854, 1.2119784355163574, 1.2098565101623535, 1.2077674865722656, 1.2057089805603027, 1.203681230545044, 1.2016854286193848, 1.1997199058532715, 1.1977837085723877, 1.1958773136138916, 1.1940009593963623, 1.192152500152588, 1.1902952194213867, 1.1885032653808594, 1.186739444732666, 1.1850042343139648, 1.1832971572875977, 1.181617021560669, 1.1799640655517578, 1.178337574005127, 1.1767377853393555, 1.1751642227172852, 1.173616886138916, 1.1720948219299316, 1.1705982685089111, 1.1688437461853027, 1.167398452758789, 1.165978193283081, 1.1645820140838623, 1.1632089614868164, 1.1617388725280762, 1.1604089736938477, 1.159102439880371, 1.15781831741333, 1.1565566062927246, 1.1553173065185547, 1.154099702835083, 1.152904748916626, 1.151731252670288, 1.1505787372589111, 1.1494481563568115, 1.148338794708252, 1.1472511291503906, 1.1461849212646484, 1.1451396942138672, 1.1441166400909424, 1.1431946754455566, 1.1422150135040283, 1.1412556171417236, 1.140319585800171, 1.139404058456421, 1.1385104656219482, 1.137638807296753, 1.1369633674621582, 1.1361417770385742, 1.1353492736816406, 1.1345851421356201, 1.1338493824005127, 1.1331400871276855, 1.1324577331542969, 1.1317994594573975, 1.131166934967041, 1.1306352615356445, 1.1300485134124756, 1.1294825077056885, 1.1289362907409668, 1.128408432006836, 1.1278986930847168, 1.127403974533081, 1.1269240379333496, 1.1264581680297852, 1.126004695892334, 1.125560998916626, 1.1251275539398193, 1.1247026920318604, 1.1242849826812744, 1.1238749027252197, 1.1234710216522217, 1.123072862625122, 1.1226799488067627, 1.1222915649414062, 1.1219065189361572, 1.1215250492095947, 1.1211466789245605, 1.1207702159881592, 1.120396375656128, 1.1200242042541504, 1.119652271270752, 1.1192817687988281, 1.1189117431640625, 1.1185424327850342, 1.118173599243164, 1.1178042888641357, 1.1174354553222656, 1.1170907020568848, 1.11672043800354, 1.116349697113037, 1.1159780025482178, 1.115605115890503, 1.1152324676513672, 1.114858627319336, 1.1143124103546143, 1.1139369010925293, 1.1136038303375244, 1.1132278442382812, 1.1128509044647217, 1.1124732494354248, 1.1120948791503906, 1.1117172241210938, 1.1113386154174805, 1.110959768295288, 1.110767126083374, 1.1103248596191406, 1.109940528869629, 1.1095585823059082, 1.1091768741607666, 1.1087970733642578, 1.1084179878234863, 1.1080403327941895, 1.107663869857788, 1.1072876453399658, 1.1069133281707764, 1.1065399646759033, 1.1061670780181885, 1.1057956218719482, 1.1054258346557617, 1.104964017868042, 1.1045963764190674, 1.104051113128662, 1.1036851406097412, 1.1033222675323486, 1.102961540222168, 1.1027414798736572, 1.1023838520050049, 1.1020276546478271, 1.1016724109649658, 1.1013200283050537, 1.100968599319458, 1.101017951965332, 1.1006686687469482, 1.100320816040039, 1.0999739170074463, 1.099628210067749, 1.0992836952209473, 1.098940134048462, 1.0985970497131348, 1.0982556343078613, 1.0979132652282715, 1.0976667404174805, 1.0971143245697021, 1.0967724323272705, 1.0964291095733643, 1.0960841178894043, 1.095738410949707, 1.0953896045684814, 1.0950379371643066, 1.0946834087371826, 1.0943248271942139, 1.0939629077911377, 1.0935959815979004, 1.0932233333587646, 1.0928475856781006, 1.0924649238586426, 1.0920767784118652, 1.0916831493377686, 1.0912833213806152, 1.0908770561218262, 1.0904655456542969, 1.0900475978851318, 1.0896236896514893, 1.08919358253479, 1.088758945465088, 1.0883195400238037, 1.0878746509552002, 1.087425947189331, 1.0869736671447754, 1.0865185260772705, 1.0860600471496582, 1.085599422454834, 1.085136890411377, 1.0846734046936035, 1.0842092037200928, 1.0837442874908447, 1.0831787586212158, 1.0827147960662842, 1.0822522640228271, 1.0817911624908447, 1.0813312530517578, 1.0808730125427246, 1.0804176330566406, 1.079963207244873, 1.0795118808746338, 1.0790307521820068, 1.0785839557647705, 1.0780439376831055, 1.0773496627807617, 1.076908826828003, 1.076531171798706, 1.076094627380371, 1.0756585597991943, 1.0752239227294922, 1.0747897624969482, 1.0740346908569336, 1.0736024379730225, 1.0731701850891113, 1.072737455368042, 1.0723028182983398, 1.0718674659729004, 1.0714306831359863, 1.0709912776947021, 1.070549488067627, 1.0698256492614746, 1.069380283355713, 1.068911075592041, 1.0684573650360107, 1.07082200050354, 1.070345163345337, 1.0698659420013428, 1.0693840980529785, 1.0688517093658447, 1.0683627128601074, 1.0678720474243164, 1.0673952102661133, 1.066899061203003, 1.0663995742797852, 1.065955638885498, 1.0656983852386475], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006025581620633602, 0.01019527018070221, -0.016506126150488853), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005796941462904215, 0.011020680889487267, -0.010946966707706451), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0008039845270104706, 0.009609125554561615, -0.009154194965958595), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02134481817483902, -0.0026970140170305967, 0.01701751910150051), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004242980852723122, 0.012792321853339672, -0.01808326691389084), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009896381758153439, 0.028695886954665184, -0.009219618514180183), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004272925201803446, 0.00834785308688879, -0.01246838178485632), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00033062975853681564, 0.01193296629935503, -0.009317397139966488), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010800089687108994, 0.01667204312980175, 0.0008879505912773311), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0420389249920845, -0.1406390517950058, 0.02611326426267624), (-0.0726749375462532, -0.044134803116321564, -0.02895386889576912)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=14, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3913758993148804, 2.4516336917877197, 23.00522804260254), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.07169530540704727, 5.039165019989014, 23.099367141723633), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4404557943344116, 7.440584182739258, 23.086074829101562), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.204831600189209, 2.5519349575042725, 23.07282066345215), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8456008434295654, 5.0632195472717285, 23.097421646118164), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3883517980575562, 7.514611721038818, 23.018821716308594), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.035894393920898, 2.548203229904175, 23.07359504699707), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.619738578796387, 4.981930255889893, 23.061386108398438), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.222886562347412, 7.445786952972412, 23.0894718170166), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.3927642107009888, 5.025431156158447, 24.721229553222656), (1.4784890413284302, 4.106452941894531, 25.063068389892578)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.06803297996521, energy_trajectory=[1.7315688133239746, 1.719855546951294, 1.7099218368530273, 1.7006733417510986, 1.691751480102539, 1.6831719875335693, 1.6750304698944092, 1.667208194732666, 1.659637451171875, 1.6524085998535156, 1.6453020572662354, 1.6383824348449707, 1.631784439086914, 1.625173568725586, 1.618690013885498, 1.6122784614562988, 1.6060149669647217, 1.5998427867889404, 1.5937516689300537, 1.5876688957214355, 1.5817089080810547, 1.5758092403411865, 1.5699679851531982, 1.5641796588897705, 1.558440923690796, 1.552748441696167, 1.546962022781372, 1.5413475036621094, 1.5356063842773438, 1.5300664901733398, 1.5245575904846191, 1.5190808773040771, 1.5136339664459229, 1.5082159042358398, 1.5028231143951416, 1.4974555969238281, 1.4921140670776367, 1.4867973327636719, 1.4815032482147217, 1.4762310981750488, 1.4704887866973877, 1.4652564525604248, 1.4600443840026855, 1.4548521041870117, 1.4496779441833496, 1.444439172744751, 1.4393019676208496, 1.4341816902160645, 1.4290812015533447, 1.423999547958374, 1.4189372062683105, 1.4138944149017334, 1.408869981765747, 1.4038653373718262, 1.398878812789917, 1.3939127922058105, 1.3889665603637695, 1.3841800689697266, 1.379272699356079, 1.374387264251709, 1.3681585788726807, 1.3633124828338623, 1.358492136001587, 1.353693962097168, 1.349015474319458, 1.3442718982696533, 1.339552879333496, 1.33486008644104, 1.3300280570983887, 1.3253912925720215, 1.3207838535308838, 1.316206693649292, 1.311661958694458, 1.3071503639221191, 1.3026716709136963, 1.2982301712036133, 1.2938237190246582, 1.289452314376831, 1.285120964050293, 1.2808268070220947, 1.276573896408081, 1.2723605632781982, 1.2681899070739746, 1.2640612125396729, 1.2599759101867676, 1.2559354305267334, 1.2519395351409912, 1.2479898929595947, 1.2440855503082275, 1.2402291297912598, 1.2364203929901123, 1.232621431350708, 1.2289090156555176, 1.2252471446990967, 1.221634864807129, 1.2181692123413086, 1.2146389484405518, 1.2111763954162598, 1.2077667713165283, 1.204409122467041, 1.2011046409606934, 1.197852611541748, 1.194653034210205, 1.1917166709899902, 1.1886255741119385, 1.1855871677398682, 1.1826043128967285, 1.179673671722412, 1.17679762840271, 1.1739754676818848, 1.1712071895599365, 1.1684930324554443, 1.165832757949829, 1.1632261276245117, 1.1605026721954346, 1.1580235958099365, 1.155315637588501, 1.1529858112335205, 1.150726556777954, 1.1485364437103271, 1.1463873386383057, 1.1443285942077637, 1.1423332691192627, 1.1405305862426758, 1.1386585235595703, 1.1368470191955566, 1.1350927352905273, 1.1333317756652832, 1.131688117980957, 1.1300992965698242, 1.1285624504089355, 1.1270768642425537, 1.1256415843963623, 1.1242549419403076, 1.1228113174438477, 1.1215167045593262, 1.1202659606933594, 1.1193315982818604, 1.118166208267212, 1.1170425415039062, 1.1159555912017822, 1.1149077415466309, 1.1141726970672607, 1.1131300926208496, 1.112180233001709, 1.1112613677978516, 1.1103739738464355, 1.1094601154327393, 1.1085155010223389, 1.1077113151550293, 1.1069340705871582, 1.1061794757843018, 1.1054468154907227, 1.1047356128692627, 1.1040430068969727, 1.1033687591552734, 1.102710485458374, 1.1018915176391602, 1.101264238357544, 1.100649356842041, 1.0997488498687744, 1.0992748737335205, 1.0998265743255615, 1.099257230758667, 1.0986990928649902, 1.098151445388794, 1.09761381149292, 1.0970182418823242, 1.0968387126922607, 1.0963385105133057, 1.095853567123413, 1.095384120941162, 1.094935417175293, 1.0945050716400146, 1.094268798828125, 1.0938830375671387, 1.0935215950012207, 1.0931894779205322, 1.0928866863250732, 1.0926125049591064, 1.0923686027526855, 1.0921502113342285, 1.0919594764709473, 1.0917925834655762, 1.091644287109375, 1.0915119647979736, 1.0913925170898438, 1.091280460357666, 1.091172695159912, 1.0910670757293701, 1.09096097946167, 1.0908520221710205, 1.090740442276001, 1.0906264781951904, 1.0904207229614258, 1.0903809070587158, 1.090254545211792, 1.0901241302490234, 1.0899901390075684, 1.0898525714874268, 1.0895047187805176, 1.089360237121582, 1.0892136096954346, 1.0890655517578125, 1.0886332988739014, 1.0884814262390137, 1.0884277820587158, 1.088273525238037, 1.0878872871398926, 1.0877106189727783, 1.0874273777008057, 1.0872671604156494, 1.087104320526123, 1.0869410037994385, 1.0867767333984375, 1.0866105556488037, 1.086604356765747, 1.086437463760376, 1.0862672328948975, 1.0860977172851562, 1.0859260559082031, 1.0857524871826172, 1.0855774879455566, 1.085402488708496, 1.0850880146026611, 1.0849096775054932, 1.0847303867340088, 1.084549903869629, 1.0843684673309326, 1.0841853618621826, 1.0840015411376953, 1.0838160514831543, 1.0836310386657715, 1.0834450721740723, 1.0832586288452148, 1.082960605621338, 1.0827713012695312, 1.0825817584991455, 1.0823922157287598, 1.0822012424468994, 1.0820090770721436, 1.0818161964416504, 1.0816233158111572, 1.0804696083068848, 1.080284833908081, 1.0800952911376953, 1.0799057483673096, 1.0797150135040283, 1.0795226097106934, 1.079329013824463, 1.0791339874267578, 1.07893705368042, 1.0787403583526611, 1.078540563583374, 1.078084945678711, 1.0778822898864746, 1.077678918838501, 1.077474594116211, 1.0772697925567627, 1.077063798904419, 1.076857328414917, 1.0766496658325195, 1.076442003250122, 1.0762336254119873, 1.0754244327545166, 1.0752103328704834, 1.0749974250793457, 1.0747830867767334, 1.074660301208496, 1.0748798847198486, 1.0746643543243408, 1.074448823928833, 1.074233055114746, 1.0740187168121338, 1.0737016201019287, 1.0734848976135254, 1.0732698440551758, 1.0723669528961182, 1.0721664428710938, 1.0719618797302246, 1.0713977813720703, 1.0711956024169922, 1.0709948539733887, 1.0705807209014893, 1.0707886219024658, 1.0705935955047607, 1.0703976154327393, 1.070204257965088, 1.070012092590332, 1.0698215961456299, 1.0696322917938232, 1.069443702697754, 1.069258689880371, 1.0690758228302002, 1.0688955783843994, 1.0687179565429688, 1.0685429573059082, 1.0683701038360596, 1.0681993961334229, 1.06803297996521], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007312275003641844, 0.04592033848166466, 0.01501884963363409), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.05040144547820091, -0.014792962931096554, -0.018678871914744377), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.016668228432536125, 0.005379744805395603, -0.02034112997353077), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014870147220790386, 0.005675437394529581, -0.014571658335626125), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007376841735094786, -0.022606873884797096, -0.0349738784134388), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010571200400590897, -0.01989850029349327, 0.0092831552028656), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007372288499027491, 0.010129794478416443, -0.012427409179508686), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02690049260854721, 0.013589931651949883, -0.012699554674327374), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008051946759223938, 0.009271311573684216, -0.022104812785983086), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.11636683344841003, -0.10596268624067307, -0.01717367023229599), (-0.13540756702423096, -0.02720520831644535, 0.05664842575788498)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=15, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3742023706436157, 2.4197559356689453, 23.096513748168945), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.10390330106019974, 4.929074764251709, 23.08473014831543), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4384198188781738, 7.363875865936279, 23.064170837402344), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.212064743041992, 2.456759214401245, 23.06460952758789), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.896533966064453, 4.943329811096191, 22.995758056640625), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3955053091049194, 7.352806091308594, 23.053171157836914), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.99143123626709, 2.4275388717651367, 23.038137435913086), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.612056732177734, 4.903947353363037, 23.086406707763672), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.210875988006592, 7.347207069396973, 23.093616485595703), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (0.8210101127624512, 4.0696330070495605, 24.76771354675293), (0.1457805633544922, 3.717193841934204, 25.387258529663086)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.156113862991333, energy_trajectory=[1.7932896614074707, 1.7795960903167725, 1.7678673267364502, 1.7566030025482178, 1.7462096214294434, 1.7364685535430908, 1.7273554801940918, 1.7187843322753906, 1.7106778621673584, 1.7029728889465332, 1.695650339126587, 1.6885602474212646, 1.6817905902862549, 1.6752655506134033, 1.6692478656768799, 1.6631412506103516, 1.6572175025939941, 1.651463270187378, 1.645860195159912, 1.6403992176055908, 1.6350679397583008, 1.629817008972168, 1.6248056888580322, 1.61981201171875, 1.6149156093597412, 1.6101090908050537, 1.6053879261016846, 1.6007449626922607, 1.59617280960083, 1.5916428565979004, 1.5872042179107666, 1.5828206539154053, 1.5784947872161865, 1.5742199420928955, 1.5699937343597412, 1.565784215927124, 1.5616447925567627, 1.5575463771820068, 1.553490161895752, 1.5494670867919922, 1.5454866886138916, 1.5415408611297607, 1.5375516414642334, 1.5336766242980957, 1.5298316478729248, 1.5260179042816162, 1.5222344398498535, 1.5184805393218994, 1.5143392086029053, 1.5106384754180908, 1.5069665908813477, 1.5033226013183594, 1.4997062683105469, 1.4961180686950684, 1.4926230907440186, 1.489089012145996, 1.4855804443359375, 1.4820992946624756, 1.4786453247070312, 1.4752154350280762, 1.471813678741455, 1.4684367179870605, 1.4650866985321045, 1.461759328842163, 1.4584591388702393, 1.4551832675933838, 1.4519329071044922, 1.4487040042877197, 1.4455022811889648, 1.442324161529541, 1.439040184020996, 1.4359092712402344, 1.4328014850616455, 1.4297175407409668, 1.4266560077667236, 1.4236187934875488, 1.4206035137176514, 1.4176113605499268, 1.4146411418914795, 1.411693811416626, 1.4087693691253662, 1.4058668613433838, 1.4030470848083496, 1.4001893997192383, 1.3973548412322998, 1.3945426940917969, 1.391753911972046, 1.3887968063354492, 1.3860561847686768, 1.3832387924194336, 1.3805437088012695, 1.3780975341796875, 1.3754522800445557, 1.3726859092712402, 1.3700909614562988, 1.3675181865692139, 1.3649694919586182, 1.3624460697174072, 1.35994553565979, 1.3574695587158203, 1.3550183773040771, 1.3525927066802979, 1.3501904010772705, 1.347813367843628, 1.345459222793579, 1.3431317806243896, 1.3408284187316895, 1.3385498523712158, 1.3364481925964355, 1.334219217300415, 1.3320136070251465, 1.329831838607788, 1.327671766281128, 1.3255350589752197, 1.3234212398529053, 1.320948839187622, 1.318878173828125, 1.3168299198150635, 1.3148021697998047, 1.3127963542938232, 1.3108129501342773, 1.3088481426239014, 1.3069050312042236, 1.3049805164337158, 1.3030765056610107, 1.3011910915374756, 1.2993247509002686, 1.2974772453308105, 1.2956485748291016, 1.2938363552093506, 1.2920434474945068, 1.2902672290802002, 1.2885091304779053, 1.2867684364318848, 1.2843737602233887, 1.2826642990112305, 1.2809720039367676, 1.2792963981628418, 1.2776389122009277, 1.2759971618652344, 1.274139404296875, 1.272531270980835, 1.2709407806396484, 1.2693657875061035, 1.267808198928833, 1.2662687301635742, 1.2647457122802734, 1.263239860534668, 1.2617511749267578, 1.2602782249450684, 1.2588226795196533, 1.2573838233947754, 1.2559614181518555, 1.2545554637908936, 1.253166913986206, 1.2517940998077393, 1.2503385543823242, 1.248999834060669, 1.247676134109497, 1.2463693618774414, 1.2450783252716064, 1.2439367771148682, 1.2426764965057373, 1.2414309978485107, 1.240396499633789, 1.2391822338104248, 1.2379810810089111, 1.2367961406707764, 1.2356255054473877, 1.2344698905944824, 1.233327865600586, 1.2322003841400146, 1.231086015701294, 1.229984998703003, 1.2287514209747314, 1.2276782989501953, 1.2266175746917725, 1.225569486618042, 1.2245347499847412, 1.2235119342803955, 1.222501516342163, 1.2214906215667725, 1.2205040454864502, 1.2195277214050293, 1.218562364578247, 1.2174432277679443, 1.2164995670318604, 1.2154765129089355, 1.214555263519287, 1.2136447429656982, 1.2127442359924316, 1.2118542194366455, 1.2109746932983398, 1.2101051807403564, 1.2092461585998535, 1.2083978652954102, 1.20755934715271, 1.2067315578460693, 1.205913782119751, 1.204977035522461, 1.204179048538208, 1.2033910751342773, 1.202613115310669, 1.2018449306488037, 1.2010860443115234, 1.20033860206604, 1.199599266052246, 1.1987407207489014, 1.1980204582214355, 1.197309970855713, 1.196608066558838, 1.1959154605865479, 1.1952316761016846, 1.1945559978485107, 1.19389009475708, 1.1932322978973389, 1.192582607269287, 1.191941261291504, 1.1913092136383057, 1.1906919479370117, 1.1900737285614014, 1.1894640922546387, 1.1888618469238281, 1.1882672309875488, 1.1876802444458008, 1.1871001720428467, 1.1866981983184814, 1.1861324310302734, 1.1855733394622803, 1.185020923614502, 1.1844751834869385, 1.1840150356292725, 1.1835932731628418, 1.1830646991729736, 1.1825425624847412, 1.182025671005249, 1.1815211772918701, 1.1810076236724854, 1.180499792098999, 1.1799967288970947, 1.1794986724853516, 1.1790060997009277, 1.178518295288086, 1.1784319877624512, 1.177952527999878, 1.1774778366088867, 1.177006721496582, 1.1765403747558594, 1.1760778427124023, 1.1756188869476318, 1.1751642227172852, 1.1747124195098877, 1.174264669418335, 1.1738200187683105, 1.1733789443969727, 1.1729400157928467, 1.1725051403045654, 1.172072172164917, 1.1716420650482178, 1.1712145805358887, 1.1707899570465088, 1.17036771774292, 1.169947862625122, 1.1695291996002197, 1.1691124439239502, 1.168699026107788, 1.1684257984161377, 1.1680152416229248, 1.1676056385040283, 1.1671974658966064, 1.1667914390563965, 1.1663885116577148, 1.165984869003296, 1.165581464767456, 1.1651794910430908, 1.164778470993042, 1.1643791198730469, 1.1639797687530518, 1.163581132888794, 1.1631834506988525, 1.1627869606018066, 1.162391185760498, 1.1621158123016357, 1.1617233753204346, 1.1613295078277588, 1.160937786102295, 1.1605463027954102, 1.1601552963256836, 1.1603806018829346, 1.1599900722503662, 1.1596014499664307, 1.159212350845337, 1.1588237285614014, 1.1584351062774658, 1.158048391342163, 1.1576602458953857, 1.1572740077972412, 1.1568868160247803, 1.1565003395080566, 1.156113862991333], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0038790947292000055, 0.022820092737674713, 0.001312974956817925), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01566562056541443, -0.032394856214523315, 0.02260027825832367), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006203543860465288, -0.013503246009349823, -0.010781876742839813), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011348744854331017, -0.0038187382742762566, -0.009602726437151432), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.054498665034770966, -0.021374234929680824, 0.015216289088129997), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014935314655303955, -0.015508881770074368, -0.006888046860694885), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0038526637945324183, -0.00031826208578422666, -0.0076904138550162315), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01501135528087616, -0.00150015065446496, -0.014472909271717072), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012016154825687408, -0.005744109395891428, -0.021877046674489975), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011203747242689133, -0.09443747997283936, 0.013145926408469677), (-0.07555408775806427, -0.05829630047082901, -0.1474684327840805)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=16, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3598623275756836, 2.4413273334503174, 23.03839111328125), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.02538987062871456, 4.8828206062316895, 23.066829681396484), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4448529481887817, 7.303629398345947, 23.042428970336914), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.1958818435668945, 2.43595814704895, 23.145980834960938), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.7870378494262695, 4.90143346786499, 23.045804977416992), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3934794664382935, 7.3125715255737305, 23.044952392578125), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.039108753204346, 2.4418416023254395, 23.050203323364258), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.626135349273682, 4.891716003417969, 23.051040649414062), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.206454753875732, 7.32642936706543, 23.063825607299805), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (3.985454797744751, 2.416422128677368, 25.136259078979492), (4.767304420471191, 2.8707540035247803, 25.512296676635742)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9977995753288269, energy_trajectory=[1.39896559715271, 1.3900301456451416, 1.3828551769256592, 1.3758633136749268, 1.3690011501312256, 1.3622736930847168, 1.3580060005187988, 1.3519668579101562, 1.3456597328186035, 1.3395659923553467, 1.333517074584961, 1.3276023864746094, 1.321925401687622, 1.3165082931518555, 1.311241865158081, 1.3061497211456299, 1.3012187480926514, 1.2964355945587158, 1.2917888164520264, 1.2872710227966309, 1.2828752994537354, 1.2785956859588623, 1.2744255065917969, 1.2703614234924316, 1.2663962841033936, 1.2625272274017334, 1.2587504386901855, 1.2553503513336182, 1.2517483234405518, 1.2482304573059082, 1.2447915077209473, 1.2414281368255615, 1.2381420135498047, 1.2349278926849365, 1.23179030418396, 1.228729486465454, 1.2257425785064697, 1.2228341102600098, 1.220033884048462, 1.2172727584838867, 1.2145228385925293, 1.2118957042694092, 1.2093281745910645, 1.2068150043487549, 1.2043523788452148, 1.2019381523132324, 1.1995697021484375, 1.1972455978393555, 1.1949636936187744, 1.192725658416748, 1.1905276775360107, 1.1883704662322998, 1.1862528324127197, 1.1841731071472168, 1.1821305751800537, 1.1803691387176514, 1.1784131526947021, 1.1762573719024658, 1.1730995178222656, 1.1712567806243896, 1.169450044631958, 1.167680025100708, 1.1659417152404785, 1.1642351150512695, 1.162559986114502, 1.1609134674072266, 1.1592950820922852, 1.1578190326690674, 1.1562550067901611, 1.154714584350586, 1.1531987190246582, 1.1517057418823242, 1.1502366065979004, 1.1487884521484375, 1.1473605632781982, 1.1459534168243408, 1.1445116996765137, 1.1431427001953125, 1.1417922973632812, 1.1406517028808594, 1.1393353939056396, 1.1380364894866943, 1.136753797531128, 1.135495662689209, 1.134335994720459, 1.1330974102020264, 1.1317517757415771, 1.1305410861968994, 1.1293439865112305, 1.128159761428833, 1.1269876956939697, 1.1258282661437988, 1.124680757522583, 1.1235449314117432, 1.1222984790802002, 1.121185302734375, 1.1200816631317139, 1.1189889907836914, 1.1179075241088867, 1.116835594177246, 1.1157739162445068, 1.1147222518920898, 1.113680124282837, 1.1126482486724854, 1.1116254329681396, 1.1106116771697998, 1.1096076965332031, 1.108612060546875, 1.1076257228851318, 1.106647253036499, 1.1056787967681885, 1.1047179698944092, 1.1037654876708984, 1.1028227806091309, 1.1018869876861572, 1.1007323265075684, 1.0998120307922363, 1.098900556564331, 1.097996473312378, 1.097100019454956, 1.0962111949920654, 1.095405101776123, 1.0945327281951904, 1.09366774559021, 1.0928127765655518, 1.0919604301452637, 1.0911142826080322, 1.0902750492095947, 1.0894420146942139, 1.0886154174804688, 1.0877938270568848, 1.0869779586791992, 1.086167573928833, 1.0853626728057861, 1.084562063217163, 1.083763599395752, 1.0829720497131348, 1.0821349620819092, 1.0824179649353027, 1.0816028118133545, 1.0807945728302002, 1.0799899101257324, 1.0791878700256348, 1.0783889293670654, 1.0775659084320068, 1.0767736434936523, 1.0759837627410889, 1.0751979351043701, 1.074415922164917, 1.0736377239227295, 1.0728628635406494, 1.0720932483673096, 1.0713276863098145, 1.0705673694610596, 1.069810152053833, 1.0690574645996094, 1.0683090686798096, 1.067565679550171, 1.0668272972106934, 1.0660929679870605, 1.0652899742126465, 1.0645651817321777, 1.0638458728790283, 1.0631303787231445, 1.0624206066131592, 1.0616981983184814, 1.0609984397888184, 1.0603022575378418, 1.0596098899841309, 1.0589206218719482, 1.0582363605499268, 1.0575554370880127, 1.0568773746490479, 1.0562026500701904, 1.0555307865142822, 1.0548627376556396, 1.0549209117889404, 1.0542588233947754, 1.0516953468322754, 1.0510399341583252, 1.0503885746002197, 1.049741268157959, 1.0490953922271729, 1.0484519004821777, 1.0478119850158691, 1.048671007156372, 1.0480260848999023, 1.0473809242248535, 1.0467398166656494, 1.0461008548736572, 1.045464038848877, 1.0448293685913086, 1.0436756610870361, 1.04305100440979, 1.0424273014068604, 1.0421948432922363, 1.0415773391723633, 1.0409634113311768, 1.0403523445129395, 1.0397453308105469, 1.0391416549682617, 1.0385420322418213, 1.0379467010498047, 1.037355661392212, 1.0367696285247803, 1.0361862182617188, 1.0356087684631348, 1.0350368022918701, 1.0340526103973389, 1.0334923267364502, 1.032935619354248, 1.032386302947998, 1.0318400859832764, 1.0312998294830322, 1.0307657718658447, 1.0302367210388184, 1.0297133922576904, 1.0291953086853027, 1.0286829471588135, 1.0281767845153809, 1.0276739597320557, 1.0271775722503662, 1.0267586708068848, 1.0262675285339355, 1.0257813930511475, 1.0252976417541504, 1.024817705154419, 1.024341106414795, 1.023866891860962, 1.023454189300537, 1.022984504699707, 1.0225181579589844, 1.0220527648925781, 1.0215895175933838, 1.0211279392242432, 1.0206670761108398, 1.020209789276123, 1.0197539329528809, 1.0193006992340088, 1.0188496112823486, 1.018399953842163, 1.017953872680664, 1.0175104141235352, 1.017068862915039, 1.016629934310913, 1.0163936614990234, 1.0159366130828857, 1.0154814720153809, 1.0150303840637207, 1.0145843029022217, 1.01414155960083, 1.0138239860534668, 1.013390302658081, 1.0129609107971191, 1.0125365257263184, 1.012115716934204, 1.0116994380950928, 1.0112879276275635, 1.0108814239501953, 1.010481357574463, 1.010084867477417, 1.0096931457519531, 1.0093071460723877, 1.0090477466583252, 1.0086719989776611, 1.0083014965057373, 1.0079350471496582, 1.007573127746582, 1.007215976715088, 1.0068626403808594, 1.0065131187438965, 1.0061662197113037, 1.0058238506317139, 1.005483627319336, 1.005129337310791, 1.0047955513000488, 1.0040850639343262, 1.0037577152252197, 1.003434658050537, 1.0031142234802246, 1.0027964115142822, 1.0024821758270264, 1.0028610229492188, 1.0025575160980225, 1.0022566318511963, 1.0019583702087402, 1.0016627311706543, 1.001370906829834, 1.0010807514190674, 1.0007944107055664, 1.000511884689331, 1.0002326965332031, 0.9999579787254333, 0.9993245005607605, 0.9990580677986145, 0.9987972378730774, 0.9985401034355164, 0.9982874989509583, 0.9980403780937195, 0.9977995753288269], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0038355945143848658, -0.0013811727985739708, 0.0009143097558990121), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00256163883022964, -0.0008205223130062222, 0.0016902920324355364), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0025657955557107925, 7.581618410767987e-05, -0.00033570040250197053), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003613724373281002, 0.0015152600826695561, -0.006239870097488165), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001994168385863304, -0.0013530571013689041, -0.0005668421508744359), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002143578138202429, -0.0006197973270900548, 0.0007379958406090736), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0014891590690240264, -0.0013900954509153962, 0.0008773719309829175), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0018831827910616994, -0.0011200382141396403, -0.0014719353057444096), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0021955131087452173, -0.0013347882777452469, 0.0019918836187571287), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.04506997391581535, -0.009710612706840038, 0.013059904798865318), (0.04284421354532242, 0.021282298490405083, -0.012887259013950825)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=17, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.513978123664856, 2.3635196685791016, 23.089040756225586), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.08791875839233398, 4.8136677742004395, 23.06195831298828), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3167182207107544, 7.249110221862793, 23.075286865234375), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.241652011871338, 2.4074385166168213, 23.009403228759766), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.912623643875122, 4.793049335479736, 23.088809967041016), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.5265847444534302, 7.185725212097168, 23.11431312561035), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.215299606323242, 2.3786277770996094, 23.106735229492188), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.7327961921691895, 4.795900821685791, 23.074731826782227), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.390690803527832, 7.208315849304199, 23.02010154724121), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (6.472313404083252, 1.1086241006851196, 24.741872787475586), (5.70518159866333, 1.5592504739761353, 25.159677505493164)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.068037748336792, energy_trajectory=[1.232975721359253, 1.2261321544647217, 1.219050645828247, 1.2125163078308105, 1.206254243850708, 1.2001128196716309, 1.194221019744873, 1.1883549690246582, 1.1825921535491943, 1.1769318580627441, 1.171372413635254, 1.1660270690917969, 1.1606757640838623, 1.1554346084594727, 1.1503095626831055, 1.1453049182891846, 1.1404287815093994, 1.135744571685791, 1.1317055225372314, 1.1274373531341553, 1.123544454574585, 1.1197161674499512, 1.1161811351776123, 1.1130683422088623, 1.110210657119751, 1.1076042652130127, 1.104992151260376, 1.103140115737915, 1.1012916564941406, 1.099705457687378, 1.0981805324554443, 1.0970995426177979, 1.0962433815002441, 1.0953612327575684, 1.094855785369873, 1.0946714878082275, 1.0933997631072998, 1.0931811332702637, 1.0930149555206299, 1.0928053855895996, 1.092679738998413, 1.0924162864685059, 1.0922002792358398, 1.0920376777648926, 1.0918614864349365, 1.0916788578033447, 1.0913336277008057, 1.091097116470337, 1.090935468673706, 1.090790033340454, 1.0906612873077393, 1.0905516147613525, 1.0904591083526611, 1.0903820991516113, 1.0903184413909912, 1.0902669429779053, 1.0903372764587402, 1.0902979373931885, 1.0899813175201416, 1.0899393558502197, 1.0898962020874023, 1.089848518371582, 1.0898301601409912, 1.0897791385650635, 1.0897855758666992, 1.0894405841827393, 1.0893568992614746, 1.0892598628997803, 1.089146375656128, 1.0890157222747803, 1.0888323783874512, 1.0886638164520264, 1.0884792804718018, 1.0882782936096191, 1.0880579948425293, 1.0878183841705322, 1.0875582695007324, 1.0871291160583496, 1.0867443084716797, 1.0863325595855713, 1.0858638286590576, 1.0853631496429443, 1.0847315788269043, 1.0843355655670166, 1.0839223861694336, 1.083491325378418, 1.0830450057983398, 1.0825834274291992, 1.0823404788970947, 1.0818536281585693, 1.0813560485839844, 1.080845832824707, 1.0803253650665283, 1.079796314239502, 1.079258918762207, 1.0787146091461182, 1.0781643390655518, 1.077608585357666, 1.0770487785339355, 1.0764858722686768, 1.0759193897247314, 1.0757312774658203, 1.075171947479248, 1.0746879577636719, 1.0747013092041016, 1.0741465091705322, 1.0735924243927002, 1.0730419158935547, 1.072495460510254, 1.0716972351074219, 1.071152925491333, 1.0701267719268799, 1.069593906402588, 1.0690703392028809, 1.0685546398162842, 1.068037748336792, 1.0680944919586182, 1.067608118057251, 1.0671324729919434, 1.0666685104370117, 1.0659964084625244, 1.0654394626617432, 1.0650033950805664, 1.0645794868469238, 1.0641696453094482, 1.0637733936309814, 1.0633916854858398, 1.0628845691680908, 1.0625317096710205, 1.0623269081115723, 1.061640977859497, 1.0613291263580322, 1.0607330799102783, 1.060452938079834, 1.0601880550384521, 1.0599370002746582, 1.059699535369873, 1.0594770908355713, 1.0592684745788574, 1.059072732925415, 1.0588927268981934, 1.058725118637085, 1.0585708618164062, 1.0584309101104736, 1.0581591129302979, 1.0580437183380127, 1.0579397678375244, 1.0578501224517822, 1.0577712059020996, 1.0577025413513184, 1.057215929031372, 1.0569186210632324, 1.056886911392212, 1.0568647384643555, 1.057546854019165, 1.0574769973754883, 1.0573930740356445, 1.0574090480804443, 1.0573787689208984, 1.05741286277771, 1.0574555397033691, 1.057422399520874, 1.0574827194213867, 1.0575530529022217, 1.057631015777588, 1.0577261447906494, 1.0578198432922363, 1.0580222606658936, 1.0581347942352295, 1.0587146282196045, 1.058842420578003, 1.0589783191680908, 1.059124231338501, 1.059279441833496, 1.0594441890716553, 1.0596184730529785, 1.0600528717041016, 1.0602474212646484, 1.0602049827575684, 1.0604135990142822, 1.0606324672698975, 1.0608603954315186, 1.0610978603363037, 1.0613439083099365, 1.0615980625152588, 1.0621755123138428, 1.062361240386963, 1.0626294612884521, 1.0629041194915771, 1.063183069229126, 1.063464641571045, 1.0637493133544922, 1.0640342235565186, 1.064319133758545, 1.0646030902862549, 1.0648865699768066, 1.0651657581329346, 1.065441608428955, 1.0657713413238525, 1.0660367012023926, 1.0662951469421387, 1.065669298171997, 1.065931797027588, 1.0663878917694092, 1.0670685768127441, 1.0673003196716309, 1.067549705505371, 1.0677590370178223, 1.0679583549499512, 1.0681471824645996, 1.0683248043060303, 1.069352626800537, 1.0695147514343262, 1.0694973468780518, 1.0697400569915771, 1.06986665725708, 1.0699834823608398, 1.07008957862854, 1.0701849460601807, 1.0702695846557617, 1.070343255996704, 1.0704081058502197, 1.070462942123413, 1.0705084800720215, 1.0706779956817627, 1.0707054138183594, 1.0707247257232666, 1.069579839706421, 1.0694208145141602, 1.0697529315948486, 1.069758653640747, 1.0697581768035889, 1.0707018375396729, 1.0704834461212158, 1.0704107284545898, 1.0703859329223633, 1.070357322692871, 1.070326805114746, 1.0702946186065674, 1.0702624320983887, 1.0702297687530518, 1.0701971054077148, 1.0701656341552734, 1.0701355934143066, 1.0701074600219727, 1.0700814723968506, 1.0700583457946777, 1.0700383186340332, 1.0698838233947754, 1.0698692798614502, 1.0698204040527344, 1.0698118209838867, 1.070021390914917, 1.0700175762176514, 1.070016622543335, 1.0700182914733887, 1.0700218677520752, 1.0700294971466064, 1.0700387954711914, 1.0698680877685547, 1.06988525390625, 1.0699026584625244, 1.0699222087860107, 1.0702614784240723, 1.0702126026153564, 1.069697380065918, 1.0697157382965088, 1.0700008869171143, 1.0697553157806396, 1.0697665214538574, 1.0697767734527588, 1.0699999332427979, 1.0700032711029053, 1.0700032711029053, 1.0699992179870605, 1.069990873336792, 1.069976806640625, 1.0699577331542969, 1.0699880123138428, 1.0698652267456055, 1.0698761940002441, 1.0698342323303223, 1.0697860717773438, 1.0697317123413086, 1.0696699619293213, 1.0696017742156982, 1.0695276260375977, 1.0694446563720703, 1.0693557262420654, 1.0692591667175293, 1.069155216217041, 1.069044589996338, 1.0689268112182617, 1.0688011646270752, 1.0686700344085693, 1.0686616897583008, 1.0685155391693115, 1.0683622360229492, 1.0682039260864258, 1.068037748336792], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0017523576971143484, 0.017283419147133827, -0.022979147732257843), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002275915117934346, 0.0027610971592366695, -0.011302757076919079), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001489690039306879, 0.017152870073914528, -0.016612935811281204), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.033591244369745255, 0.007460629101842642, 0.007316298317164183), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0113601703196764, 0.017657019197940826, -0.022702278569340706), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0005489251925610006, 0.029660776257514954, -0.04722969979047775), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03504742309451103, 0.006358973681926727, -0.023996734991669655), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005982205271720886, 0.03314484655857086, -0.01122091431170702), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01474724430590868, 0.03558746725320816, 0.006410498172044754), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012851472944021225, 0.04779627174139023, -0.007935588248074055), (-0.05249517410993576, 0.01802615448832512, -0.06750591844320297)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=18, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.5676602125167847, 2.4307456016540527, 23.078861236572266), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.09224779158830643, 4.858158111572266, 23.06589126586914), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.2626382112503052, 7.268338680267334, 23.02570915222168), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.333563804626465, 2.414123773574829, 23.075916290283203), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.9126229286193848, 4.858890533447266, 23.05649757385254), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.5013781785964966, 7.298098564147949, 23.06513214111328), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.060434818267822, 2.4614152908325195, 23.000099182128906), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.740623950958252, 4.844761848449707, 23.075828552246094), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.336402416229248, 7.233691215515137, 23.08902359008789), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (0.7372515201568604, 1.2051458358764648, 24.7020263671875), (-0.04081423208117485, 1.7084808349609375, 25.036815643310547)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0644643306732178, energy_trajectory=[1.700925350189209, 1.6905412673950195, 1.6809179782867432, 1.6716883182525635, 1.662827730178833, 1.6543076038360596, 1.6460785865783691, 1.638096809387207, 1.630321741104126, 1.622720718383789, 1.615262746810913, 1.607926607131958, 1.600694179534912, 1.593550205230713, 1.5862436294555664, 1.5793554782867432, 1.572420597076416, 1.5655407905578613, 1.5587055683135986, 1.5519208908081055, 1.5452508926391602, 1.538560152053833, 1.531914472579956, 1.5254383087158203, 1.5188801288604736, 1.5123639106750488, 1.5058910846710205, 1.4996702671051025, 1.4932851791381836, 1.4869427680969238, 1.4806444644927979, 1.4743859767913818, 1.468172550201416, 1.4621272087097168, 1.4560108184814453, 1.4499480724334717, 1.4436519145965576, 1.4377098083496094, 1.4318382740020752, 1.4260351657867432, 1.420302391052246, 1.414632797241211, 1.4090230464935303, 1.4034709930419922, 1.3979721069335938, 1.3925232887268066, 1.3871216773986816, 1.381770372390747, 1.3764677047729492, 1.3712141513824463, 1.3660118579864502, 1.3608593940734863, 1.3557608127593994, 1.350715160369873, 1.3457231521606445, 1.3407862186431885, 1.3359043598175049, 1.3311233520507812, 1.3264646530151367, 1.3217461109161377, 1.317084789276123, 1.3124802112579346, 1.307934045791626, 1.3033549785614014, 1.298938512802124, 1.294579029083252, 1.2902755737304688, 1.286029577255249, 1.2818398475646973, 1.2772014141082764, 1.2730073928833008, 1.2689785957336426, 1.265005350112915, 1.261087417602539, 1.2570044994354248, 1.2531936168670654, 1.2494370937347412, 1.245734453201294, 1.2420830726623535, 1.2384862899780273, 1.2349419593811035, 1.2314496040344238, 1.2280089855194092, 1.2246198654174805, 1.2212820053100586, 1.2179946899414062, 1.2147579193115234, 1.2115716934204102, 1.20843505859375, 1.2047133445739746, 1.2016732692718506, 1.198817253112793, 1.1958765983581543, 1.1927061080932617, 1.1898698806762695, 1.1870899200439453, 1.1843836307525635, 1.1817796230316162, 1.1792192459106445, 1.176729679107666, 1.174306869506836, 1.1719529628753662, 1.169679880142212, 1.1674535274505615, 1.1652891635894775, 1.1631860733032227, 1.1611418724060059, 1.1591570377349854, 1.1572279930114746, 1.1553547382354736, 1.1535353660583496, 1.1517980098724365, 1.1500818729400635, 1.1484169960021973, 1.146799087524414, 1.1452295780181885, 1.143705129623413, 1.1422233581542969, 1.1407849788665771, 1.139388084411621, 1.1380319595336914, 1.1368954181671143, 1.1356151103973389, 1.1343717575073242, 1.1331639289855957, 1.1319913864135742, 1.1308515071868896, 1.1296906471252441, 1.1286141872406006, 1.1272835731506348, 1.1261963844299316, 1.1250269412994385, 1.1240708827972412, 1.1231427192687988, 1.1221826076507568, 1.1213078498840332, 1.1204578876495361, 1.119633674621582, 1.1188321113586426, 1.1180546283721924, 1.117443323135376, 1.1166305541992188, 1.1159191131591797, 1.1151113510131836, 1.1144399642944336, 1.1137878894805908, 1.1129741668701172, 1.1125757694244385, 1.1119742393493652, 1.111391305923462, 1.1107783317565918, 1.1104116439819336, 1.1098730564117432, 1.1093502044677734, 1.1088404655456543, 1.108344316482544, 1.1078617572784424, 1.107391357421875, 1.1069328784942627, 1.106485366821289, 1.1060495376586914, 1.1056241989135742, 1.1049134731292725, 1.1045069694519043, 1.104109287261963, 1.1041724681854248, 1.1037919521331787, 1.1034417152404785, 1.1030771732330322, 1.1027207374572754, 1.1023707389831543, 1.102027416229248, 1.1016888618469238, 1.1013579368591309, 1.10103178024292, 1.100710391998291, 1.1003942489624023, 1.1000823974609375, 1.0998408794403076, 1.0995378494262695, 1.099238395690918, 1.0989415645599365, 1.0986487865447998, 1.0969295501708984, 1.0966389179229736, 1.096470832824707, 1.0961833000183105, 1.0958967208862305, 1.0956089496612549, 1.095045804977417, 1.0947580337524414, 1.0943922996520996, 1.094102382659912, 1.0938105583190918, 1.093595027923584, 1.0932986736297607, 1.09299898147583, 1.0927402973175049, 1.0924310684204102, 1.0921180248260498, 1.0918004512786865, 1.0914783477783203, 1.0911486148834229, 1.0911200046539307, 1.0907769203186035, 1.0903701782226562, 1.0900142192840576, 1.0896508693695068, 1.0892794132232666, 1.0889003276824951, 1.0890190601348877, 1.0886247158050537, 1.0882232189178467, 1.0878126621246338, 1.0873947143554688, 1.0869686603546143, 1.0865352153778076, 1.086205244064331, 1.0860280990600586, 1.0857741832733154, 1.0853126049041748, 1.0848453044891357, 1.0843687057495117, 1.0838854312896729, 1.083395004272461, 1.0828931331634521, 1.0823864936828613, 1.0828642845153809, 1.082343339920044, 1.0822882652282715, 1.0817515850067139, 1.081207513809204, 1.0806550979614258, 1.0800962448120117, 1.0795297622680664, 1.078953742980957, 1.0783724784851074, 1.0777926445007324, 1.0772151947021484, 1.07663893699646, 1.076063871383667, 1.0754897594451904, 1.0749166011810303, 1.0740032196044922, 1.0734584331512451, 1.0728883743286133, 1.0723211765289307, 1.072164535522461, 1.071608304977417, 1.0712614059448242, 1.0707249641418457, 1.0700576305389404, 1.069535493850708, 1.0689213275909424, 1.0684237480163574, 1.0679402351379395, 1.0674731731414795, 1.0670232772827148, 1.0665922164916992, 1.0661818981170654, 1.0657942295074463, 1.065432071685791, 1.065093755722046, 1.0647833347320557, 1.0644991397857666, 1.0642452239990234, 1.06327223777771, 1.0630719661712646, 1.0629005432128906, 1.0627589225769043, 1.0626425743103027, 1.062554121017456, 1.0624887943267822, 1.0624487400054932, 1.0624291896820068, 1.0624310970306396, 1.0624516010284424, 1.0623817443847656, 1.0617759227752686, 1.0618364810943604, 1.0618462562561035, 1.061953067779541, 1.0620439052581787, 1.0621402263641357, 1.0629723072052002, 1.0630788803100586, 1.0631864070892334, 1.063295841217041, 1.063408613204956, 1.0635197162628174, 1.0636327266693115, 1.0637454986572266, 1.0638582706451416, 1.0639691352844238, 1.0640795230865479, 1.0641887187957764, 1.0641465187072754, 1.0642523765563965, 1.0643582344055176, 1.0644643306732178], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0165308378636837, -0.024496445432305336, 0.03222419321537018), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014447293244302273, -0.011758433654904366, 0.007831362076103687), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006918895058333874, -0.014131744392216206, -0.008856046944856644), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013338654302060604, -0.0012349685421213508, 0.011785659939050674), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02853376232087612, -0.01689145714044571, 0.008930315263569355), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015841415151953697, -0.0017226793570443988, 0.009785996749997139), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016827311366796494, 0.003152107121422887, 0.000357092940248549), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.019538940861821175, 0.004258159082382917, 0.01439807377755642), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010876643471419811, -0.000247766642132774, 0.008233677595853806), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0834432989358902, 0.05699639394879341, 0.03857729211449623), (-0.04452799633145332, -0.06771505624055862, 0.0027880012057721615)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=19, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4154821634292603, 2.586836099624634, 23.02393341064453), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.00938858836889267, 4.96766471862793, 23.063430786132812), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3604402542114258, 7.457477569580078, 23.081493377685547), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.246859073638916, 2.5351836681365967, 23.074556350708008), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8235597610473633, 4.966623783111572, 23.06818962097168), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4211273193359375, 7.409015655517578, 23.058847427368164), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.054418087005615, 2.532296657562256, 23.074966430664062), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.646113395690918, 4.876748085021973, 22.99880027770996), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.202190399169922, 7.45021390914917, 23.084943771362305), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.4423588514328003, 0.03994302451610565, 24.71940803527832), (1.4204295873641968, -0.8907660841941833, 25.04269027709961)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0663433074951172, energy_trajectory=[1.428318977355957, 1.4213917255401611, 1.4134349822998047, 1.4060642719268799, 1.3991398811340332, 1.3925726413726807, 1.386328935623169, 1.3804655075073242, 1.374910593032837, 1.3694043159484863, 1.364100456237793, 1.3589794635772705, 1.3544867038726807, 1.3496959209442139, 1.3450496196746826, 1.3402507305145264, 1.3358771800994873, 1.3316125869750977, 1.3274774551391602, 1.3234291076660156, 1.319483757019043, 1.3156371116638184, 1.3118846416473389, 1.3082218170166016, 1.304762363433838, 1.3012704849243164, 1.2978601455688477, 1.2945282459259033, 1.2914257049560547, 1.2882401943206787, 1.2851262092590332, 1.2820813655853271, 1.2791051864624023, 1.2761948108673096, 1.2731318473815918, 1.2703566551208496, 1.2676506042480469, 1.2650134563446045, 1.2624688148498535, 1.2599694728851318, 1.2575347423553467, 1.2551615238189697, 1.2528467178344727, 1.2505865097045898, 1.2483785152435303, 1.2462821006774902, 1.2441723346710205, 1.2421081066131592, 1.2400870323181152, 1.2381083965301514, 1.2361717224121094, 1.2340881824493408, 1.232231616973877, 1.230527639389038, 1.2287421226501465, 1.2269926071166992, 1.225276231765747, 1.2235934734344482, 1.2219429016113281, 1.2203469276428223, 1.218757152557373, 1.2172553539276123, 1.2157220840454102, 1.2142150402069092, 1.212691068649292, 1.2112317085266113, 1.2097952365875244, 1.2083792686462402, 1.206911325454712, 1.205533742904663, 1.2041740417480469, 1.2028319835662842, 1.2015061378479004, 1.2001957893371582, 1.198899745941162, 1.1976163387298584, 1.1963458061218262, 1.1950876712799072, 1.1938390731811523, 1.1926016807556152, 1.1910877227783203, 1.1898674964904785, 1.188655138015747, 1.1874511241912842, 1.1862530708312988, 1.185063362121582, 1.1838796138763428, 1.182701587677002, 1.1815288066864014, 1.180363655090332, 1.179201602935791, 1.178046464920044, 1.1768958568572998, 1.1755404472351074, 1.1744000911712646, 1.1727678775787354, 1.1718509197235107, 1.1707243919372559, 1.1695215702056885, 1.1684041023254395, 1.167292594909668, 1.1661860942840576, 1.165083885192871, 1.1639878749847412, 1.1628971099853516, 1.1618118286132812, 1.1607322692871094, 1.1596589088439941, 1.1585907936096191, 1.1573097705841064, 1.1562540531158447, 1.1552042961120605, 1.1538207530975342, 1.1527807712554932, 1.151747465133667, 1.1507196426391602, 1.14969801902771, 1.1486821174621582, 1.1476726531982422, 1.1466302871704102, 1.1456305980682373, 1.144636631011963, 1.1436617374420166, 1.14267897605896, 1.14170241355896, 1.1407315731048584, 1.1397669315338135, 1.1388473510742188, 1.137913465499878, 1.1369678974151611, 1.1359384059906006, 1.1350064277648926, 1.134080410003662, 1.133162260055542, 1.1322510242462158, 1.1313471794128418, 1.1301980018615723, 1.129310131072998, 1.128387451171875, 1.127558946609497, 1.1267011165618896, 1.1258533000946045, 1.125013828277588, 1.1241543292999268, 1.1233325004577637, 1.1225190162658691, 1.1217143535614014, 1.120798110961914, 1.1200110912322998, 1.1192328929901123, 1.1190674304962158, 1.11830735206604, 1.1172289848327637, 1.116213321685791, 1.1154892444610596, 1.1147725582122803, 1.1140644550323486, 1.113398551940918, 1.1127052307128906, 1.1120190620422363, 1.1113405227661133, 1.1106696128845215, 1.1100053787231445, 1.1093487739562988, 1.1086978912353516, 1.1080718040466309, 1.107299566268921, 1.1066679954528809, 1.1060411930084229, 1.105419397354126, 1.1049282550811768, 1.1043202877044678, 1.1037161350250244, 1.1031181812286377, 1.1027412414550781, 1.1021530628204346, 1.1015682220458984, 1.1009886264801025, 1.1004126071929932, 1.099841594696045, 1.0992748737335205, 1.0987119674682617, 1.098153829574585, 1.0975987911224365, 1.0970494747161865, 1.0965032577514648, 1.0959618091583252, 1.0954248905181885, 1.0948925018310547, 1.0943639278411865, 1.0938398838043213, 1.0933208465576172, 1.092806100845337, 1.0926470756530762, 1.0921437740325928, 1.091644287109375, 1.0911481380462646, 1.0906565189361572, 1.0900030136108398, 1.0895190238952637, 1.087813377380371, 1.0880167484283447, 1.087545394897461, 1.0870764255523682, 1.086611270904541, 1.086350917816162, 1.085892915725708, 1.0854370594024658, 1.0846939086914062, 1.0842442512512207, 1.0837969779968262, 1.0833520889282227, 1.0829086303710938, 1.082467794418335, 1.0820283889770508, 1.0814743041992188, 1.0810389518737793, 1.0806050300598145, 1.0814518928527832, 1.0810215473175049, 1.0805964469909668, 1.0801739692687988, 1.079754114151001, 1.079336166381836, 1.078920602798462, 1.078507423400879, 1.0780959129333496, 1.0776867866516113, 1.0772805213928223, 1.0768766403198242, 1.0765001773834229, 1.0761027336120605, 1.075706958770752, 1.0753147602081299, 1.0749249458312988, 1.074446201324463, 1.0740628242492676, 1.073683738708496, 1.0733075141906738, 1.072934865951538, 1.0725667476654053, 1.072202444076538, 1.0718414783477783, 1.0714845657348633, 1.0711328983306885, 1.0705981254577637, 1.0702571868896484, 1.069920539855957, 1.0695900917053223, 1.0692641735076904, 1.0689435005187988, 1.0686278343200684, 1.0683181285858154, 1.0680153369903564, 1.0677189826965332, 1.0681025981903076, 1.0674874782562256, 1.0672307014465332, 1.066983938217163, 1.0667455196380615, 1.0665173530578613, 1.0662994384765625, 1.066091537475586, 1.065718173980713, 1.0655336380004883, 1.0653600692749023, 1.0651981830596924, 1.0650486946105957, 1.0649120807647705, 1.0647869110107422, 1.064673662185669, 1.064573049545288, 1.0644843578338623, 1.064408779144287, 1.064344882965088, 1.0642931461334229, 1.0642540454864502, 1.0642263889312744, 1.0642096996307373, 1.0641441345214844, 1.0641484260559082, 1.0645451545715332, 1.0651559829711914, 1.0651798248291016, 1.0652086734771729, 1.065244197845459, 1.0652859210968018, 1.0653328895568848, 1.0653858184814453, 1.0654425621032715, 1.0655014514923096, 1.0657398700714111, 1.0658042430877686, 1.0658698081970215, 1.0659363269805908, 1.0660052299499512, 1.0660743713378906, 1.0661444664001465, 1.0662732124328613, 1.0663433074951172], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0010113785974681377, 0.006991885602474213, -0.003539495402947068), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004455087706446648, -0.003374069929122925, 0.005513390060514212), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (8.884130511432886e-05, 0.0005481984699144959, 0.016000142320990562), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004416069481521845, -0.010291493497788906, 0.006595825310796499), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0020539883989840746, -0.0016407689545303583, 0.0017280365573242307), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005874295253306627, -0.006437208503484726, 0.0017948170425370336), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004891405813395977, -0.004209811799228191, 0.005350274965167046), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0018236496252939105, -0.009916525334119797, 0.005118522793054581), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006808873265981674, 0.0050285677425563335, 0.013248996809124947), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03617177903652191, -0.00017906208813656121, 9.126277291215956e-05), (0.036446619778871536, 0.013656520284712315, 0.02007872983813286)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=20, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4440094232559204, 2.458199977874756, 23.06614112854004), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.06006661057472229, 4.9001030921936035, 23.036165237426758), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3693495988845825, 7.3661346435546875, 23.039695739746094), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.257532119750977, 2.4475109577178955, 23.049816131591797), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.842412233352661, 4.903298377990723, 23.051631927490234), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4422391653060913, 7.344926357269287, 23.070812225341797), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.091604232788086, 2.436859369277954, 23.046384811401367), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.682263374328613, 4.907066345214844, 23.14955711364746), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.251717567443848, 7.358875751495361, 23.050567626953125), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-2.5736424922943115, 4.942910671234131, 25.139118194580078), (-1.7523868083953857, 5.459675312042236, 25.295085906982422)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0331218242645264, energy_trajectory=[1.6893675327301025, 1.6810014247894287, 1.6736080646514893, 1.6661243438720703, 1.6591379642486572, 1.6517980098724365, 1.644686222076416, 1.637648344039917, 1.6306726932525635, 1.6237483024597168, 1.616866111755371, 1.6100199222564697, 1.603640079498291, 1.596858024597168, 1.5901005268096924, 1.5833666324615479, 1.5766549110412598, 1.5699684619903564, 1.5633056163787842, 1.5566668510437012, 1.5500540733337402, 1.543466567993164, 1.5369079113006592, 1.5304956436157227, 1.5239927768707275, 1.5175230503082275, 1.5110890865325928, 1.5046899318695068, 1.498331069946289, 1.4920103549957275, 1.485734224319458, 1.4794995784759521, 1.4733116626739502, 1.4671695232391357, 1.461076259613037, 1.4550299644470215, 1.4490330219268799, 1.4430885314941406, 1.4371953010559082, 1.4321551322937012, 1.4263999462127686, 1.4206924438476562, 1.4150383472442627, 1.409442663192749, 1.4039056301116943, 1.3984274864196777, 1.3930113315582275, 1.387598991394043, 1.3823106288909912, 1.377089262008667, 1.3719379901885986, 1.3668546676635742, 1.3615481853485107, 1.3566086292266846, 1.3517436981201172, 1.3469526767730713, 1.3422367572784424, 1.337597370147705, 1.333033800125122, 1.3286287784576416, 1.3242216110229492, 1.320035696029663, 1.315556526184082, 1.3113782405853271, 1.3072760105133057, 1.303250789642334, 1.2993028163909912, 1.2952492237091064, 1.2914519309997559, 1.2877297401428223, 1.284080982208252, 1.2805025577545166, 1.27699613571167, 1.273559808731079, 1.2701916694641113, 1.266890525817871, 1.2635443210601807, 1.2603747844696045, 1.2572708129882812, 1.2542297840118408, 1.2509996891021729, 1.2483859062194824, 1.2455272674560547, 1.2425105571746826, 1.239769458770752, 1.237187147140503, 1.235168695449829, 1.2326014041900635, 1.2300865650177002, 1.2274765968322754, 1.2250733375549316, 1.2226951122283936, 1.2202656269073486, 1.2181072235107422, 1.2159068584442139, 1.2137560844421387, 1.21165132522583, 1.2095928192138672, 1.207519769668579, 1.2055516242980957, 1.2036244869232178, 1.2017405033111572, 1.1998968124389648, 1.1980931758880615, 1.1963269710540771, 1.1945991516113281, 1.1925292015075684, 1.190873622894287, 1.1892518997192383, 1.1876635551452637, 1.1861927509307861, 1.1846671104431152, 1.1831719875335693, 1.181706190109253, 1.180267095565796, 1.1804285049438477, 1.1787712574005127, 1.177382230758667, 1.1760175228118896, 1.1746773719787598, 1.1733601093292236, 1.1720654964447021, 1.170790672302246, 1.1695377826690674, 1.1683049201965332, 1.1670892238616943, 1.1658930778503418, 1.1646242141723633, 1.1634631156921387, 1.1623172760009766, 1.1611859798431396, 1.1600697040557861, 1.1589694023132324, 1.157881259918213, 1.1568076610565186, 1.1557466983795166, 1.1546978950500488, 1.1536610126495361, 1.152634620666504, 1.1515018939971924, 1.1504967212677002, 1.1494996547698975, 1.1485130786895752, 1.147536039352417, 1.1464781761169434, 1.1455190181732178, 1.144568920135498, 1.1436271667480469, 1.1426918506622314, 1.1417663097381592, 1.1409351825714111, 1.1400256156921387, 1.1391019821166992, 1.138481616973877, 1.137331247329712, 1.1364517211914062, 1.1361277103424072, 1.135265827178955, 1.1344108581542969, 1.1335632801055908, 1.1327223777770996, 1.1320459842681885, 1.1312198638916016, 1.1304004192352295, 1.1295883655548096, 1.128781795501709, 1.1279804706573486, 1.1271858215332031, 1.1263959407806396, 1.1256098747253418, 1.124828815460205, 1.1240520477294922, 1.1232781410217285, 1.1225087642669678, 1.1217427253723145, 1.1209790706634521, 1.1195323467254639, 1.1187725067138672, 1.1180121898651123, 1.1172540187835693, 1.1164970397949219, 1.1158719062805176, 1.1151137351989746, 1.1143560409545898, 1.113598108291626, 1.1128404140472412, 1.111677646636963, 1.1109228134155273, 1.1099755764007568, 1.1092841625213623, 1.1085100173950195, 1.1077353954315186, 1.1069600582122803, 1.1061830520629883, 1.1054072380065918, 1.1048955917358398, 1.1039910316467285, 1.103215217590332, 1.1024420261383057, 1.1016693115234375, 1.100898265838623, 1.100130558013916, 1.0993640422821045, 1.0986003875732422, 1.0978386402130127, 1.097081184387207, 1.096327543258667, 1.095576524734497, 1.0948286056518555, 1.0940837860107422, 1.0933425426483154, 1.0926053524017334, 1.0918712615966797, 1.0911409854888916, 1.0904130935668945, 1.0896892547607422, 1.0889675617218018, 1.0880517959594727, 1.0873351097106934, 1.0866198539733887, 1.085909366607666, 1.0851998329162598, 1.0844922065734863, 1.0837876796722412, 1.0830848217010498, 1.0823843479156494, 1.0816855430603027, 1.0809881687164307, 1.0802934169769287, 1.0796000957489014, 1.078906774520874, 1.0782151222229004, 1.077524185180664, 1.076833724975586, 1.076143741607666, 1.0754539966583252, 1.0747654438018799, 1.0740768909454346, 1.072946548461914, 1.0722289085388184, 1.0715134143829346, 1.0707976818084717, 1.0700831413269043, 1.069368600845337, 1.0686564445495605, 1.067863941192627, 1.067150592803955, 1.0664420127868652, 1.0657341480255127, 1.0650262832641602, 1.0643212795257568, 1.0636188983917236, 1.063443660736084, 1.0627453327178955, 1.0620486736297607, 1.0613553524017334, 1.0606629848480225, 1.059971809387207, 1.0592849254608154, 1.0585975646972656, 1.0579135417938232, 1.0572333335876465, 1.056556224822998, 1.0558795928955078, 1.0552077293395996, 1.054537296295166, 1.0538699626922607, 1.0532050132751465, 1.0525434017181396, 1.0518825054168701, 1.0512266159057617, 1.0505728721618652, 1.0499212741851807, 1.0492737293243408, 1.0486271381378174, 1.0479846000671387, 1.0471839904785156, 1.046546220779419, 1.045912265777588, 1.0452795028686523, 1.0446479320526123, 1.0440218448638916, 1.043398141860962, 1.042776107788086, 1.0419580936431885, 1.0413436889648438, 1.0407342910766602, 1.0401272773742676, 1.0395233631134033, 1.038923740386963, 1.0383260250091553, 1.0377328395843506, 1.0371429920196533, 1.036555528640747, 1.035973072052002, 1.0353949069976807, 1.0348191261291504, 1.0342504978179932, 1.033684492111206, 1.0331218242645264], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011047893203794956, -0.005877186544239521, -0.004825883079320192), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01926128752529621, -0.003980275243520737, 0.006570605095475912), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012612548656761646, -0.012428485788404942, 0.0036113588139414787), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0130265261977911, -0.011045052669942379, -0.005945694632828236), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.017152024433016777, -0.006284721661359072, -0.006304784212261438), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01049485057592392, -0.005766428541392088, -0.005773879587650299), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009606875479221344, -0.004216653294861317, -0.0037704657297581434), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0164810698479414, -0.008484948426485062, -0.012488167732954025), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009515306912362576, -0.005068397615104914, -0.004465694073587656), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.07157590240240097, -0.022522659972310066, -0.007970567792654037), (-0.07643276453018188, -0.03449185565114021, 0.06865481287240982)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=21, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4338687658309937, 2.46630597114563, 23.0435733795166), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.013814523816108704, 4.894385814666748, 23.068317413330078), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3767255544662476, 7.338747024536133, 23.037994384765625), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.245691776275635, 2.450491428375244, 23.070663452148438), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.826051950454712, 4.879599094390869, 23.0517635345459), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.412406325340271, 7.3368306159973145, 23.051883697509766), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.056998252868652, 2.461385726928711, 23.043516159057617), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.663514137268066, 4.874123573303223, 23.04831886291504), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.25021505355835, 7.328682899475098, 23.154094696044922), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (0.08574499934911728, 0.012175224721431732, 25.15447425842285), (-0.7435706853866577, 0.4414386749267578, 25.45313262939453)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.99409419298172, energy_trajectory=[1.217522382736206, 1.212122917175293, 1.206850290298462, 1.2017195224761963, 1.1966838836669922, 1.1917262077331543, 1.1868410110473633, 1.182025671005249, 1.1774418354034424, 1.1727750301361084, 1.168187141418457, 1.1636793613433838, 1.1592581272125244, 1.1550891399383545, 1.1508369445800781, 1.1466753482818604, 1.1426112651824951, 1.1386334896087646, 1.1347672939300537, 1.1316380500793457, 1.127976655960083, 1.1244263648986816, 1.1209993362426758, 1.117846965789795, 1.1149394512176514, 1.1122541427612305, 1.1097683906555176, 1.1074645519256592, 1.1053273677825928, 1.1033411026000977, 1.1015102863311768, 1.099792242050171, 1.0981903076171875, 1.09669828414917, 1.0953435897827148, 1.0940399169921875, 1.092820167541504, 1.091675043106079, 1.0905990600585938, 1.0895872116088867, 1.0886335372924805, 1.0877327919006348, 1.0868792533874512, 1.086069107055664, 1.085296630859375, 1.0845568180084229, 1.0838475227355957, 1.083162784576416, 1.0825014114379883, 1.0818593502044678, 1.0812346935272217, 1.0806238651275635, 1.0800261497497559, 1.0794401168823242, 1.0788629055023193, 1.0782949924468994, 1.0777347087860107, 1.0771806240081787, 1.0766313076019287, 1.0760879516601562, 1.075547456741333, 1.0750095844268799, 1.0744740962982178, 1.0740337371826172, 1.0735008716583252, 1.0729663372039795, 1.0724332332611084, 1.0718977451324463, 1.0713598728179932, 1.0708215236663818, 1.0702788829803467, 1.069735050201416, 1.0691866874694824, 1.0686352252960205, 1.068082571029663, 1.0675256252288818, 1.066965103149414, 1.0664019584655762, 1.0658349990844727, 1.0652127265930176, 1.0646417140960693, 1.0640666484832764, 1.0636744499206543, 1.063096523284912, 1.0625183582305908, 1.0619385242462158, 1.0607876777648926, 1.0629267692565918, 1.0626928806304932, 1.061901569366455, 1.0613539218902588, 1.060807228088379, 1.0603830814361572, 1.0598397254943848, 1.059295892715454, 1.058753252029419, 1.058211088180542, 1.0576684474945068, 1.0571260452270508, 1.0565834045410156, 1.056039810180664, 1.0554955005645752, 1.0549507141113281, 1.0544047355651855, 1.053856611251831, 1.0533738136291504, 1.052823543548584, 1.052272081375122, 1.0517194271087646, 1.050948143005371, 1.05039644241333, 1.0498433113098145, 1.04929780960083, 1.0487401485443115, 1.0481877326965332, 1.0476369857788086, 1.0470871925354004, 1.046539068222046, 1.045992136001587, 1.045447587966919, 1.0449068546295166, 1.043440341949463, 1.0429110527038574, 1.0423870086669922, 1.0418672561645508, 1.041351318359375, 1.0408411026000977, 1.0403368473052979, 1.039839267730713, 1.0393478870391846, 1.0388648509979248, 1.0383872985839844, 1.0379178524017334, 1.0374557971954346, 1.037001609802246, 1.036555528640747, 1.0361173152923584, 1.035686731338501, 1.0352637767791748, 1.0348484516143799, 1.034440279006958, 1.034038782119751, 1.0336437225341797, 1.0332555770874023, 1.0328738689422607, 1.0324981212615967, 1.0321276187896729, 1.0317609310150146, 1.031400203704834, 1.0310428142547607, 1.0306899547576904, 1.0303387641906738, 1.0299921035766602, 1.0296473503112793, 1.0293054580688477, 1.028965711593628, 1.0286285877227783, 1.0282917022705078, 1.0279572010040283, 1.0276246070861816, 1.027292251586914, 1.026963472366333, 1.0266356468200684, 1.026308298110962, 1.0260379314422607, 1.0257139205932617, 1.025392770767212, 1.0250740051269531, 1.0247559547424316, 1.0245063304901123, 1.0241899490356445, 1.023876428604126, 1.0235650539398193, 1.0232555866241455, 1.0229480266571045, 1.0226430892944336, 1.0223407745361328, 1.0203721523284912, 1.0199244022369385, 1.0196070671081543, 1.019291877746582, 1.0189769268035889, 1.018662929534912, 1.0183508396148682, 1.0180399417877197, 1.0177316665649414, 1.0174250602722168, 1.017120361328125, 1.0168187618255615, 1.0165181159973145, 1.0162196159362793, 1.015925407409668, 1.015631914138794, 1.0153400897979736, 1.0147907733917236, 1.0145034790039062, 1.0142180919647217, 1.0139353275299072, 1.0136528015136719, 1.0133724212646484, 1.0130939483642578, 1.012817621231079, 1.0125415325164795, 1.0122663974761963, 1.011993169784546, 1.0117206573486328, 1.011448860168457, 1.0111780166625977, 1.0109093189239502, 1.0106403827667236, 1.0103731155395508, 1.0101053714752197, 1.0098400115966797, 1.009575366973877, 1.0093114376068115, 1.009049654006958, 1.0087881088256836, 1.0079538822174072, 1.0076966285705566, 1.0074386596679688, 1.007183313369751, 1.006929636001587, 1.0066776275634766, 1.0064265727996826, 1.006178379058838, 1.0059304237365723, 1.0056853294372559, 1.0054409503936768, 1.0051991939544678, 1.0049591064453125, 1.0046162605285645, 1.004380464553833, 1.004148006439209, 1.0039172172546387, 1.0036883354187012, 1.003462553024292, 1.0032379627227783, 1.0030169486999512, 1.0027997493743896, 1.0024538040161133, 1.0022358894348145, 1.0020222663879395, 1.0018129348754883, 1.0016086101531982, 1.001405954360962, 1.0012078285217285, 1.0010125637054443, 1.0008201599121094, 1.000631332397461, 1.0004446506500244, 1.000262975692749, 1.0000836849212646, 0.999906599521637, 0.9997336268424988, 0.9995629191398621, 0.9993957877159119, 0.9991419911384583, 0.9989791512489319, 0.9988206028938293, 0.998664915561676, 0.9985114932060242, 0.998359739780426, 0.9982103705406189, 0.9980637431144714, 0.9979193806648254, 0.9977774024009705, 0.997636616230011, 0.997523844242096, 0.9973880648612976, 0.9972527623176575, 0.9971203207969666, 0.9969891905784607, 0.9968587756156921, 0.996730387210846, 0.9966036677360535, 0.9964794516563416, 0.9963551163673401, 0.9962143301963806, 0.996133029460907, 0.9960154891014099, 0.9958999752998352, 0.9957860112190247, 0.9956745505332947, 0.9955641627311707, 0.9954561591148376, 0.9953487515449524, 0.9952448010444641, 0.995141327381134, 0.9950413107872009, 0.9949414134025574, 0.9948835968971252, 0.9947851300239563, 0.9946882128715515, 0.99459308385849, 0.9944997429847717, 0.9944068789482117, 0.9943142533302307, 0.9942219853401184, 0.9941307902336121, 0.99409419298172], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0006327259470708668, -0.0019701241981238127, -0.00010977939382428303), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0013944796519353986, -0.0029910022858530283, -0.0032156850211322308), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0005028170999139547, -0.003333333181217313, 0.0034386131446808577), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0007194405770860612, -0.0028500354383140802, -0.003178914077579975), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0013617885997518897, -0.004924321547150612, -0.0031703212298452854), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003663333598524332, -0.003008743282407522, -0.003708514617756009), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001963808201253414, -0.0013866493245586753, 0.0017110130283981562), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00027825587312690914, -0.0031400343868881464, -0.002972280140966177), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0032991913612931967, -0.0020831322763115168, -0.002522784750908613), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010979671031236649, -0.00024026964092627168, -0.01943609118461609), (0.0018191204871982336, -0.007491421420127153, 0.0032648942433297634)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=22, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4166065454483032, 2.458373785018921, 23.150117874145508), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.005558347329497337, 4.921230792999268, 23.049789428710938), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3982884883880615, 7.331684589385986, 23.037487030029297), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.252658367156982, 2.4737720489501953, 23.044044494628906), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.82659649848938, 4.925943374633789, 23.047893524169922), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4105236530303955, 7.356908798217773, 23.061405181884766), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.040607929229736, 2.473944664001465, 23.046642303466797), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.641597747802734, 4.9130401611328125, 23.064271926879883), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.219472885131836, 7.337142467498779, 23.042869567871094), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.5156617164611816, 2.317959785461426, 25.14382553100586), (1.569685697555542, 1.3568110466003418, 25.338882446289062)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.009129524230957, energy_trajectory=[1.1521797180175781, 1.143327236175537, 1.1377367973327637, 1.1321742534637451, 1.1270790100097656, 1.1217834949493408, 1.1166141033172607, 1.1115682125091553, 1.1066465377807617, 1.1018478870391846, 1.0971746444702148, 1.0926239490509033, 1.0882017612457275, 1.0839042663574219, 1.0797359943389893, 1.075695514678955, 1.0717852115631104, 1.0680029392242432, 1.0643525123596191, 1.0608060359954834, 1.057417631149292, 1.054776668548584, 1.0516533851623535, 1.0486652851104736, 1.0458149909973145, 1.043109655380249, 1.0405495166778564, 1.0381362438201904, 1.0358750820159912, 1.0338060855865479, 1.0318615436553955, 1.030080795288086, 1.0284647941589355, 1.0270118713378906, 1.0257203578948975, 1.0245819091796875, 1.0235843658447266, 1.0227127075195312, 1.0219790935516357, 1.0213510990142822, 1.0208032131195068, 1.0203876495361328, 1.0199341773986816, 1.0195097923278809, 1.0191030502319336, 1.0187115669250488, 1.018334150314331, 1.0179691314697266, 1.0176219940185547, 1.0172922611236572, 1.0169837474822998, 1.0166990756988525, 1.0164344310760498, 1.0161936283111572, 1.0159716606140137, 1.0157654285430908, 1.0155730247497559, 1.0154130458831787, 1.015282392501831, 1.0151143074035645, 1.0149478912353516, 1.0147814750671387, 1.0146143436431885, 1.0144455432891846, 1.0142748355865479, 1.0140981674194336, 1.013915777206421, 1.0137269496917725, 1.013533353805542, 1.013331651687622, 1.01312255859375, 1.0129539966583252, 1.0127310752868652, 1.0124659538269043, 1.0122272968292236, 1.0119826793670654, 1.0117297172546387, 1.0113859176635742, 1.0111198425292969, 1.0105526447296143, 1.0102746486663818, 1.0099906921386719, 1.009298324584961, 1.009002685546875, 1.0087039470672607, 1.0084013938903809, 1.0082151889801025, 1.007505178451538, 1.0071942806243896, 1.0068824291229248, 1.0065698623657227, 1.0068180561065674, 1.0065090656280518, 1.0062007904052734, 1.005892276763916, 1.0055842399597168, 1.005277395248413, 1.0049142837524414, 1.0046100616455078, 1.0043079853057861, 1.0040082931518555, 1.003713607788086, 1.0034213066101074, 1.0031323432922363, 1.0028479099273682, 1.0025672912597656, 1.0020601749420166, 1.0017883777618408, 1.0015208721160889, 1.0012574195861816, 1.0010008811950684, 1.0007483959197998, 1.0005028247833252, 1.00026273727417, 1.0000278949737549, 0.9997987151145935, 0.9995784163475037, 0.9993613362312317, 0.9991527199745178, 0.9989493489265442, 0.9987542033195496, 0.9985659718513489, 0.9983846545219421, 0.9982102513313293, 0.9980432391166687, 0.9978830218315125, 0.997836172580719, 0.9976608157157898, 0.9975209832191467, 0.9973880648612976, 0.9972605109214783, 0.9971405863761902, 0.9970285296440125, 0.9969232678413391, 0.9968240857124329, 0.9967300295829773, 0.9966437220573425, 0.9965625405311584, 0.9964877963066101, 0.9964216351509094, 0.9963588118553162, 0.9963634610176086, 0.9963124394416809, 0.9962682127952576, 0.9962294697761536, 0.9961966872215271, 0.9961701035499573, 0.9961491227149963, 0.9961331486701965, 0.9959216713905334, 0.9959147572517395, 0.9959130883216858, 0.995917022228241, 0.9959248900413513, 0.9959390759468079, 0.9959563612937927, 0.9960408806800842, 0.9960687756538391, 0.996100127696991, 0.996135413646698, 0.9961753487586975, 0.9962168335914612, 0.9962610602378845, 0.9963088631629944, 0.9963591694831848, 0.9965537190437317, 0.9966059327125549, 0.9966625571250916, 0.9967193007469177, 0.9967774748802185, 0.9968364834785461, 0.9968984723091125, 0.9969590306282043, 0.9970207810401917, 0.9970836043357849, 0.99714595079422, 0.9972094893455505, 0.997270405292511, 0.9973320364952087, 0.9973935484886169, 0.9974542260169983, 0.9975160956382751, 0.9975753426551819, 0.9974159598350525, 0.9974722266197205, 0.9975271821022034, 0.9975823760032654, 0.9976351857185364, 0.9975718855857849, 0.9976215958595276, 0.9976703524589539, 0.9977166056632996, 0.9977635741233826, 0.9978074431419373, 0.9978514313697815, 0.9978943467140198, 0.9979358315467834, 0.997973620891571, 0.9980106949806213, 0.9980475306510925, 0.9980805516242981, 0.998114287853241, 0.998144805431366, 0.9981743693351746, 0.9982042908668518, 0.9982324242591858, 0.9981774687767029, 0.9982041716575623, 0.9982293248176575, 0.9982534050941467, 0.998277485370636, 0.9983020424842834, 0.9983275532722473, 0.9983054995536804, 0.9983306527137756, 0.9983585476875305, 0.9983869194984436, 0.9984167218208313, 0.9984485507011414, 0.9984833598136902, 0.9985184073448181, 0.9985559582710266, 0.998595654964447, 0.9986383318901062, 0.9986836314201355, 0.9987316727638245, 0.9987805485725403, 0.9991007447242737, 0.9990738034248352, 0.9991280436515808, 0.9991862177848816, 0.9992437958717346, 0.9993042349815369, 0.999367892742157, 0.999432384967804, 0.999499499797821, 0.9995699524879456, 0.9996413588523865, 0.9994426369667053, 0.999518096446991, 0.999599039554596, 0.9993410706520081, 0.9993210434913635, 0.9994071125984192, 0.9994952082633972, 0.9995871186256409, 0.9996804594993591, 0.9997739195823669, 0.9998710751533508, 0.9999697804450989, 1.000070333480835, 1.000171184539795, 1.000274896621704, 1.0003807544708252, 1.0004878044128418, 1.0005989074707031, 1.0007107257843018, 1.0008234977722168, 1.0009400844573975, 1.0010576248168945, 1.0011770725250244, 1.0012998580932617, 1.0014238357543945, 1.0015490055084229, 1.001474142074585, 1.0016064643859863, 1.0017404556274414, 1.0018763542175293, 1.002014398574829, 1.0021545886993408, 1.0024549961090088, 1.0025997161865234, 1.0027477741241455, 1.0028975009918213, 1.0030517578125, 1.0039176940917969, 1.0040771961212158, 1.004239559173584, 1.0044047832489014, 1.0045747756958008, 1.0047824382781982, 1.0049588680267334, 1.0051395893096924, 1.0053246021270752, 1.00551176071167, 1.0057039260864258, 1.0058989524841309, 1.0060970783233643, 1.006300926208496, 1.0066783428192139, 1.0068907737731934, 1.0071077346801758, 1.0073261260986328, 1.0075514316558838, 1.0077793598175049, 1.0079677104949951, 1.0083057880401611, 1.008544921875, 1.0088822841644287, 1.009129524230957], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.000993892434053123, -0.00509574543684721, 0.003166584763675928), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0012777551310136914, -0.01183411106467247, -0.002537287538871169), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002706065308302641, -0.01596769131720066, 0.006642437074333429), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006257827393710613, -0.021505773067474365, 0.0031064865179359913), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010186436586081982, -0.014778370037674904, -0.0017785148229449987), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00454740272834897, -0.019375110045075417, 0.006675024051219225), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0022259182296693325, -0.021110253408551216, -0.0025078721810132265), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004439748357981443, -0.01945582777261734, 0.00949936080724001), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006567003205418587, -0.018869547173380852, 0.0024684618692845106), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03386358916759491, 0.06012880802154541, -0.00800682045519352), (-0.012345671653747559, 0.0680484026670456, 0.020731791853904724)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=23, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3837494850158691, 2.454592227935791, 23.071369171142578), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.03466852381825447, 4.876762866973877, 23.044971466064453), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4558738470077515, 7.343327045440674, 23.048629760742188), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.197643756866455, 2.4694342613220215, 23.04756736755371), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8026835918426514, 4.882038593292236, 23.043664932250977), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3705742359161377, 7.350130081176758, 23.15097999572754), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.034023284912109, 2.4654510021209717, 23.051515579223633), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.616884708404541, 4.898256301879883, 23.06774139404297), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.220907688140869, 7.342400074005127, 23.044710159301758), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.667887210845947, -0.10585322231054306, 25.147890090942383), (6.18986701965332, 0.6649147272109985, 25.455833435058594)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9932680726051331, energy_trajectory=[1.1855201721191406, 1.1779122352600098, 1.172621250152588, 1.1672320365905762, 1.1619579792022705, 1.1567752361297607, 1.1515791416168213, 1.1467185020446777, 1.1417651176452637, 1.1368913650512695, 1.133927822113037, 1.1292109489440918, 1.1245806217193604, 1.1200370788574219, 1.115588903427124, 1.111229658126831, 1.1069614887237549, 1.1027941703796387, 1.0987162590026855, 1.0947468280792236, 1.0908832550048828, 1.0871803760528564, 1.0834829807281494, 1.0799505710601807, 1.0765318870544434, 1.0732972621917725, 1.0701093673706055, 1.0670480728149414, 1.0641169548034668, 1.0613219738006592, 1.0586662292480469, 1.0561530590057373, 1.0537879467010498, 1.0515124797821045, 1.049447774887085, 1.0475313663482666, 1.0455615520477295, 1.043989658355713, 1.0426568984985352, 1.041428804397583, 1.0403399467468262, 1.0393691062927246, 1.0385017395019531, 1.0377225875854492, 1.037280797958374, 1.036646842956543, 1.0360679626464844, 1.0355384349822998, 1.035050392150879, 1.034599781036377, 1.0341811180114746, 1.0337917804718018, 1.0334303379058838, 1.033092737197876, 1.0327794551849365, 1.0324876308441162, 1.0324194431304932, 1.032167911529541, 1.0319318771362305, 1.0317111015319824, 1.0315024852752686, 1.031303882598877, 1.031114101409912, 1.0309290885925293, 1.030994176864624, 1.030817985534668, 1.0330142974853516, 1.0328335762023926, 1.032646656036377, 1.032454490661621, 1.0322587490081787, 1.0320558547973633, 1.0318474769592285, 1.0309855937957764, 1.0307629108428955, 1.0305087566375732, 1.0302739143371582, 1.029841661453247, 1.0295898914337158, 1.0293323993682861, 1.0290687084197998, 1.0287981033325195, 1.028520107269287, 1.0282366275787354, 1.0279490947723389, 1.0276563167572021, 1.027357816696167, 1.0270538330078125, 1.0267457962036133, 1.0265240669250488, 1.0262088775634766, 1.025890588760376, 1.0255701541900635, 1.0251827239990234, 1.0248606204986572, 1.0244503021240234, 1.0241262912750244, 1.0234956741333008, 1.0231709480285645, 1.0228431224822998, 1.0225176811218262, 1.0221946239471436, 1.0218706130981445, 1.0215482711791992, 1.0212275981903076, 1.0211200714111328, 1.0208022594451904, 1.0204846858978271, 1.0201685428619385, 1.0198535919189453, 1.0195417404174805, 1.019132375717163, 1.018822193145752, 1.0189564228057861, 1.0186529159545898, 1.0183496475219727, 1.017199993133545, 1.016876220703125, 1.016554832458496, 1.0162343978881836, 1.0159151554107666, 1.015596628189087, 1.0152788162231445, 1.0149617195129395, 1.014646291732788, 1.0143308639526367, 1.0140180587768555, 1.0137059688568115, 1.0133943557739258, 1.0130844116210938, 1.01277494430542, 1.012087345123291, 1.0117809772491455, 1.0114772319793701, 1.0111753940582275, 1.0108754634857178, 1.0105760097503662, 1.0102791786193848, 1.0099844932556152, 1.0096914768218994, 1.0094006061553955, 1.0091114044189453, 1.0089335441589355, 1.0086500644683838, 1.0083694458007812, 1.0080904960632324, 1.007814884185791, 1.0075998306274414, 1.0073297023773193, 1.0070624351501465, 1.0067307949066162, 1.0063433647155762, 1.0060865879058838, 1.0058343410491943, 1.0055851936340332, 1.0053398609161377, 1.005098819732666, 1.004859447479248, 1.0046303272247314, 1.0043971538543701, 1.0041680335998535, 1.0039424896240234, 1.0037217140197754, 1.0035040378570557, 1.0032899379730225, 1.0030243396759033, 1.002817153930664, 1.002614974975586, 1.002415657043457, 1.0022213459014893, 1.0020313262939453, 1.001845121383667, 1.0016462802886963, 1.0014679431915283, 1.0009288787841797, 1.0007588863372803, 1.0005924701690674, 1.0004301071166992, 1.0000970363616943, 0.9999434351921082, 0.9997921586036682, 0.9996458888053894, 0.9991901516914368, 0.9989780783653259, 0.9988458752632141, 0.9987173676490784, 0.9985924363136292, 0.9984717965126038, 0.9983554482460022, 0.9982413649559021, 0.9981312155723572, 0.9980265498161316, 0.9979248642921448, 0.9978269934654236, 0.9977324604988098, 0.9976401925086975, 0.9975529313087463, 0.997467577457428, 0.9973857998847961, 0.9973050951957703, 0.9972297549247742, 0.9971564412117004, 0.9970858693122864, 0.9970174431800842, 0.9969509243965149, 0.9968875050544739, 0.9968263506889343, 0.9967681765556335, 0.9967111945152283, 0.9966556429862976, 0.9966022372245789, 0.9966210722923279, 0.9965741038322449, 0.996528685092926, 0.9964845776557922, 0.9964427351951599, 0.9964012503623962, 0.9963634610176086, 0.9963257908821106, 0.9962385296821594, 0.9962032437324524, 0.996167004108429, 0.9959993958473206, 0.9959667325019836, 0.9958340525627136, 0.9958035349845886, 0.9957743287086487, 0.9957447648048401, 0.995715320110321, 0.9956877827644348, 0.9956590533256531, 0.9956323504447937, 0.9956032633781433, 0.9955729842185974, 0.9955437779426575, 0.9955139756202698, 0.9954951405525208, 0.9954642653465271, 0.9954321980476379, 0.9953964352607727, 0.9953595995903015, 0.9953227639198303, 0.9952828288078308, 0.9952420592308044, 0.9952000975608826, 0.9951570630073547, 0.9951679110527039, 0.9951207041740417, 0.995074450969696, 0.9950271248817444, 0.9949776530265808, 0.9949286580085754, 0.9948799014091492, 0.9948319792747498, 0.9947839379310608, 0.9947357773780823, 0.9946889281272888, 0.9946442246437073, 0.9945985674858093, 0.9945546984672546, 0.9945111870765686, 0.9944697022438049, 0.9944295287132263, 0.9943906664848328, 0.9945589900016785, 0.9945244193077087, 0.9944499135017395, 0.9944162964820862, 0.9943843483924866, 0.9943527579307556, 0.9943223595619202, 0.9942932724952698, 0.9942654967308044, 0.9942359328269958, 0.9942082762718201, 0.9941803812980652, 0.9941520094871521, 0.994167149066925, 0.994140088558197, 0.9941110014915466, 0.9940831065177917, 0.9940528273582458, 0.9940236210823059, 0.9939927458763123, 0.993960440158844, 0.9939287304878235, 0.9937090277671814, 0.9936816096305847, 0.9936543107032776, 0.9936283230781555, 0.9936196208000183, 0.9935954213142395, 0.9933502078056335, 0.9933300614356995, 0.9933119416236877, 0.9932968020439148, 0.9932851195335388, 0.9932768940925598, 0.9932712912559509, 0.9932680726051331], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003420682158321142, -0.001896382193081081, -0.0032345231156796217), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0021480275318026543, -0.002054973039776087, -0.002622427884489298), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0034168818965554237, -0.004128036089241505, -0.002289807889610529), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002556754043325782, -0.0032213465310633183, 0.0018771543400362134), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004510427359491587, -0.004706630948930979, -0.0021801043767482042), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00969949271529913, -0.0001124277405324392, 1.7625878172111697e-05), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006552517414093018, 0.0012136545265093446, -0.0017661688616499305), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004330435302108526, -0.002875947393476963, -0.0024813355412334204), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008272618986666203, -0.0027365458663553, -0.0012246324913576245), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003647875739261508, 0.013514290563762188, -0.018598034977912903), (-0.011399424634873867, 0.0032817416358739138, -0.001840523793362081)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=24, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3622428178787231, 2.4243128299713135, 23.070608139038086), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.005341717042028904, 4.892935752868652, 23.027544021606445), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4558683633804321, 7.298457622528076, 23.068477630615234), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.112305641174316, 2.3631131649017334, 23.002676010131836), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.7493691444396973, 4.875799655914307, 23.069820404052734), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3665034770965576, 7.300868988037109, 23.07662010192871), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.009152412414551, 2.3855080604553223, 23.0873966217041), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.508787155151367, 4.864877700805664, 23.052404403686523), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.188323020935059, 7.32393217086792, 23.059555053710938), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.950128555297852, 3.6755316257476807, 24.739971160888672), (6.500329971313477, 4.2497968673706055, 25.310270309448242)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.2026941776275635, energy_trajectory=[2.1965973377227783, 2.1780731678009033, 2.1624794006347656, 2.1477746963500977, 2.1334376335144043, 2.1201107501983643, 2.1079463958740234, 2.0967304706573486, 2.0860626697540283, 2.0762906074523926, 2.067190170288086, 2.058454990386963, 2.0501482486724854, 2.0422255992889404, 2.0343880653381348, 2.0271146297454834, 2.020117998123169, 2.0133793354034424, 2.006870746612549, 2.0005688667297363, 1.9944658279418945, 1.988468885421753, 1.9827022552490234, 1.9770853519439697, 1.9716198444366455, 1.9662721157073975, 1.9601290225982666, 1.9550197124481201, 1.9500138759613037, 1.9451041221618652, 1.9402847290039062, 1.9355511665344238, 1.9308936595916748, 1.9263131618499756, 1.9218025207519531, 1.9173574447631836, 1.9130795001983643, 1.908754587173462, 1.9044854640960693, 1.9002697467803955, 1.8961646556854248, 1.8920328617095947, 1.887946605682373, 1.8839044570922852, 1.8799011707305908, 1.8759372234344482, 1.8720107078552246, 1.868286371231079, 1.864429235458374, 1.8606035709381104, 1.8568072319030762, 1.8535246849060059, 1.8494668006896973, 1.8457558155059814, 1.8420403003692627, 1.8383727073669434, 1.8347294330596924, 1.8311057090759277, 1.827500343322754, 1.8239142894744873, 1.8203423023223877, 1.8167903423309326, 1.8132531642913818, 1.8098070621490479, 1.8062052726745605, 1.80271577835083, 1.7992446422576904, 1.795788049697876, 1.7923433780670166, 1.7889149188995361, 1.7853922843933105, 1.7819921970367432, 1.778606653213501, 1.7752361297607422, 1.7718751430511475, 1.7685308456420898, 1.765199899673462, 1.7618801593780518, 1.7585761547088623, 1.7552859783172607, 1.7520110607147217, 1.7487471103668213, 1.7454981803894043, 1.7423062324523926, 1.7390825748443604, 1.7358741760253906, 1.7326762676239014, 1.7294909954071045, 1.726316213607788, 1.7231535911560059, 1.7197866439819336, 1.716644287109375, 1.713512659072876, 1.710390329360962, 1.707275390625, 1.7041704654693604, 1.7010741233825684, 1.6979858875274658, 1.6949033737182617, 1.691781997680664, 1.688713788986206, 1.6856505870819092, 1.6825933456420898, 1.6795427799224854, 1.6764967441558838, 1.6734583377838135, 1.6704256534576416, 1.6673994064331055, 1.6643779277801514, 1.6613624095916748, 1.6583502292633057, 1.6553442478179932, 1.6523411273956299, 1.6493430137634277, 1.646348476409912, 1.6433601379394531, 1.6403758525848389, 1.6373958587646484, 1.63442063331604, 1.6315796375274658, 1.6286098957061768, 1.6256463527679443, 1.6226856708526611, 1.6197302341461182, 1.6167807579040527, 1.613835334777832, 1.6108946800231934, 1.6079585552215576, 1.6050093173980713, 1.6020805835723877, 1.5991570949554443, 1.5962371826171875, 1.5933215618133545, 1.5904083251953125, 1.587500810623169, 1.5849549770355225, 1.5820491313934326, 1.5790410041809082, 1.5761399269104004, 1.5732417106628418, 1.5703456401824951, 1.5674512386322021, 1.564558744430542, 1.5616672039031982, 1.5587763786315918, 1.5558865070343018, 1.552997350692749, 1.5501067638397217, 1.5472168922424316, 1.5443267822265625, 1.5414378643035889, 1.5385475158691406, 1.5356552600860596, 1.5327653884887695, 1.5298733711242676, 1.5269827842712402, 1.5240890979766846, 1.5211970806121826, 1.5183043479919434, 1.5154132843017578, 1.512521505355835, 1.5096321105957031, 1.5067431926727295, 1.5038557052612305, 1.501051664352417, 1.4981703758239746, 1.4952921867370605, 1.4924161434173584, 1.4895427227020264, 1.4866752624511719, 1.4838099479675293, 1.480949878692627, 1.4780948162078857, 1.4752452373504639, 1.472487449645996, 1.4696495532989502, 1.46681809425354, 1.4639928340911865, 1.4611737728118896, 1.458362340927124, 1.4555563926696777, 1.4527592658996582, 1.4499688148498535, 1.4471867084503174, 1.444413423538208, 1.4416475296020508, 1.4388890266418457, 1.4361398220062256, 1.433398962020874, 1.430666446685791, 1.427943229675293, 1.4252288341522217, 1.422522783279419, 1.4198260307312012, 1.4171388149261475, 1.4144601821899414, 1.4117906093597412, 1.409132719039917, 1.4064815044403076, 1.403841495513916, 1.4012103080749512, 1.3985886573791504, 1.3959765434265137, 1.393373966217041, 1.3907818794250488, 1.388200283050537, 1.385627269744873, 1.3830652236938477, 1.3805127143859863, 1.3779704570770264, 1.3754377365112305, 1.3729159832000732, 1.3701207637786865, 1.367624044418335, 1.3648529052734375, 1.362377405166626, 1.3599121570587158, 1.3574578762054443, 1.3550152778625488, 1.3527522087097168, 1.3503327369689941, 1.3480169773101807, 1.3456203937530518, 1.3432364463806152, 1.3408637046813965, 1.3385047912597656, 1.3361563682556152, 1.3338212966918945, 1.3314990997314453, 1.3291895389556885, 1.3268938064575195, 1.3246111869812012, 1.3223421573638916, 1.3200867176055908, 1.317845344543457, 1.3156170845031738, 1.3134031295776367, 1.3111004829406738, 1.3089163303375244, 1.306746006011963, 1.3045902252197266, 1.3023920059204102, 1.3002643585205078, 1.298152208328247, 1.2960548400878906, 1.294010877609253, 1.2919418811798096, 1.2898874282836914, 1.2878482341766357, 1.2858235836029053, 1.2838129997253418, 1.2818174362182617, 1.2798357009887695, 1.2778680324554443, 1.275916337966919, 1.273977518081665, 1.2720532417297363, 1.2701423168182373, 1.2682461738586426, 1.2663633823394775, 1.2644946575164795, 1.2625579833984375, 1.2606067657470703, 1.2587783336639404, 1.2569634914398193, 1.2551136016845703, 1.253324270248413, 1.251549482345581, 1.2503032684326172, 1.2485504150390625, 1.2472155094146729, 1.2454888820648193, 1.2437760829925537, 1.242077112197876, 1.2403910160064697, 1.2387175559997559, 1.237058401107788, 1.23541259765625, 1.2337801456451416, 1.2321608066558838, 1.2308471202850342, 1.229149341583252, 1.2275702953338623, 1.2260050773620605, 1.2244532108306885, 1.2229149341583252, 1.221390724182129, 1.219879150390625, 1.218381404876709, 1.21689772605896, 1.2152996063232422, 1.2138416767120361, 1.2124154567718506, 1.2109832763671875, 1.209578037261963, 1.2081751823425293, 1.2067854404449463, 1.205409288406372, 1.2040448188781738, 1.2026941776275635], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.043765317648649216, -0.017508678138256073, -0.0007266817847266793), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0339607298374176, -0.017984675243496895, -0.012228867970407009), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03863590210676193, -0.023840593174099922, -0.0010051785502582788), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015814997255802155, -0.00587474787607789, 0.0054801227524876595), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.031161775812506676, -0.021380243822932243, -0.001257054042071104), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.034510478377342224, -0.008880325593054295, 0.0033154264092445374), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.07061417400836945, -0.006736278533935547, 0.022685082629323006), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02175082080066204, -0.04057083651423454, 0.08664155006408691), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03641989827156067, -0.017393535003066063, -0.00286351446993649), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.08270883560180664, 0.19165265560150146, 0.05958974361419678), (0.30525651574134827, -0.0612473227083683, 0.08240558952093124)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=25, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.429025650024414, 2.439185619354248, 23.054092407226562), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.013043978251516819, 4.892367362976074, 23.05580711364746), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3868509531021118, 7.335119247436523, 23.074617385864258), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.259825706481934, 2.4323947429656982, 23.05057716369629), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.84635853767395, 4.896595478057861, 23.175172805786133), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4172176122665405, 7.352802753448486, 23.041730880737305), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.077128887176514, 2.4494917392730713, 23.06902503967285), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.692150115966797, 4.890084743499756, 23.038692474365234), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.271651744842529, 7.358492374420166, 23.0405330657959), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (2.9952869415283203, 5.026866436004639, 25.168485641479492), (2.215475082397461, 5.522305965423584, 25.5004940032959)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0060627460479736, energy_trajectory=[1.4265899658203125, 1.4187326431274414, 1.4110913276672363, 1.4033198356628418, 1.39601469039917, 1.3889694213867188, 1.3823540210723877, 1.3759636878967285, 1.3697965145111084, 1.3637950420379639, 1.357961654663086, 1.3522801399230957, 1.3467411994934082, 1.3413362503051758, 1.3364198207855225, 1.331263780593872, 1.3262174129486084, 1.3211948871612549, 1.3163549900054932, 1.311610460281372, 1.3069562911987305, 1.3023924827575684, 1.2979912757873535, 1.2935895919799805, 1.2892673015594482, 1.285017490386963, 1.2811861038208008, 1.277076244354248, 1.2730340957641602, 1.269054651260376, 1.2651383876800537, 1.261282205581665, 1.2574865818023682, 1.2537484169006348, 1.2500643730163574, 1.246436595916748, 1.2428615093231201, 1.2393372058868408, 1.235865592956543, 1.2326266765594482, 1.2292518615722656, 1.2259256839752197, 1.222646713256836, 1.2194130420684814, 1.216223955154419, 1.2130775451660156, 1.209975242614746, 1.2069134712219238, 1.2038934230804443, 1.200913429260254, 1.1979715824127197, 1.1950697898864746, 1.192204475402832, 1.1893765926361084, 1.18658447265625, 1.183828353881836, 1.1811068058013916, 1.1784188747406006, 1.1758754253387451, 1.1732521057128906, 1.170638084411621, 1.1681067943572998, 1.1653342247009277, 1.163017749786377, 1.160557746887207, 1.158149003982544, 1.1557879447937012, 1.1534738540649414, 1.1512043476104736, 1.1487548351287842, 1.1465730667114258, 1.1444923877716064, 1.1423912048339844, 1.1403284072875977, 1.1383023262023926, 1.13631272315979, 1.1343584060668945, 1.1324379444122314, 1.13065767288208, 1.12880277633667, 1.1269786357879639, 1.1251869201660156, 1.1234238147735596, 1.1216905117034912, 1.1199851036071777, 1.1184258460998535, 1.1167783737182617, 1.1151583194732666, 1.1135647296905518, 1.1119976043701172, 1.110456943511963, 1.108940601348877, 1.107450246810913, 1.1059844493865967, 1.1045434474945068, 1.1031272411346436, 1.101736068725586, 1.1003682613372803, 1.0990259647369385, 1.0977067947387695, 1.096412181854248, 1.0951404571533203, 1.0938918590545654, 1.0926663875579834, 1.0914640426635742, 1.0902841091156006, 1.089127540588379, 1.0879926681518555, 1.0868804454803467, 1.085789680480957, 1.0847203731536865, 1.083672046661377, 1.0826449394226074, 1.0814311504364014, 1.080444097518921, 1.0794768333435059, 1.0785295963287354, 1.077580451965332, 1.0766708850860596, 1.0757794380187988, 1.0749053955078125, 1.0740492343902588, 1.0732085704803467, 1.0723836421966553, 1.0715734958648682, 1.0707769393920898, 1.069995403289795, 1.069225788116455, 1.0684680938720703, 1.067723274230957, 1.067068099975586, 1.0663442611694336, 1.0656304359436035, 1.0649240016937256, 1.0642268657684326, 1.0635371208190918, 1.0628540515899658, 1.0621795654296875, 1.0615112781524658, 1.0609359741210938, 1.0606181621551514, 1.0599703788757324, 1.0593295097351074, 1.058694839477539, 1.0580673217773438, 1.0586152076721191, 1.05784273147583, 1.057203769683838, 1.0562138557434082, 1.0555908679962158, 1.0549404621124268, 1.054335117340088, 1.0537397861480713, 1.053154468536377, 1.052579402923584, 1.0520148277282715, 1.0514605045318604, 1.050915002822876, 1.050379753112793, 1.049853801727295, 1.0493378639221191, 1.0488300323486328, 1.0484819412231445, 1.047990322113037, 1.047504186630249, 1.0470259189605713, 1.0465526580810547, 1.0460867881774902, 1.0456256866455078, 1.0451698303222656, 1.0447194576263428, 1.0442731380462646, 1.0438315868377686, 1.045372486114502, 1.044924259185791, 1.0444824695587158, 1.044044017791748, 1.0436100959777832, 1.0431795120239258, 1.0427517890930176, 1.0423266887664795, 1.041905164718628, 1.0414860248565674, 1.041069746017456, 1.0406568050384521, 1.0399632453918457, 1.0395572185516357, 1.0391552448272705, 1.038757085800171, 1.0383641719818115, 1.0381295680999756, 1.0371017456054688, 1.036726474761963, 1.0363554954528809, 1.0359890460968018, 1.0356268882751465, 1.0352704524993896, 1.0349411964416504, 1.0345144271850586, 1.0341720581054688, 1.0340404510498047, 1.033658504486084, 1.0333318710327148, 1.0330097675323486, 1.0326929092407227, 1.0323808193206787, 1.0320727825164795, 1.031768798828125, 1.0314691066741943, 1.0311720371246338, 1.0308773517608643, 1.030585765838623, 1.0302963256835938, 1.0300095081329346, 1.0297245979309082, 1.02944016456604, 1.0293300151824951, 1.0290510654449463, 1.0287725925445557, 1.0284950733184814, 1.0282182693481445, 1.0279412269592285, 1.0276644229888916, 1.027388572692871, 1.0271124839782715, 1.0268380641937256, 1.0265631675720215, 1.0262889862060547, 1.026015281677246, 1.0258479118347168, 1.0255751609802246, 1.025303840637207, 1.025033712387085, 1.0247647762298584, 1.0242834091186523, 1.0240159034729004, 1.0237503051757812, 1.0234849452972412, 1.023221731185913, 1.0229594707489014, 1.0212209224700928, 1.0209431648254395, 1.0206668376922607, 1.0203895568847656, 1.0201122760772705, 1.01983642578125, 1.0195581912994385, 1.0192844867706299, 1.019010305404663, 1.0187387466430664, 1.018467903137207, 1.0181972980499268, 1.017927885055542, 1.0176591873168945, 1.0173919200897217, 1.017124891281128, 1.0172419548034668, 1.0169579982757568, 1.0163915157318115, 1.0161280632019043, 1.0158653259277344, 1.015601634979248, 1.0153398513793945, 1.0150787830352783, 1.0148181915283203, 1.0145578384399414, 1.0142977237701416, 1.0140388011932373, 1.013779878616333, 1.0135221481323242, 1.0132653713226318, 1.0130102634429932, 1.0125067234039307, 1.0122532844543457, 1.012000322341919, 1.011749029159546, 1.0114984512329102, 1.0112495422363281, 1.0110018253326416, 1.0107543468475342, 1.0105092525482178, 1.0102641582489014, 1.0100224018096924, 1.0097808837890625, 1.0095419883728027, 1.0092387199401855, 1.0090022087097168, 1.008765459060669, 1.0085318088531494, 1.008298635482788, 1.008068561553955, 1.0078377723693848, 1.0076088905334473, 1.007382869720459, 1.0071585178375244, 1.0069348812103271, 1.0067143440246582, 1.0064942836761475, 1.0062775611877441, 1.0060627460479736], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0044325487688183784, 0.0016187013825401664, -0.013895965181291103), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0032080519013106823, 0.0022705618757754564, -0.014504222199320793), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006084872875362635, 0.0027348287403583527, -0.01960017718374729), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006568801589310169, 0.008994750678539276, -0.012597490102052689), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012486537918448448, 0.010801807045936584, -0.020342200994491577), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009457110427320004, -0.012432797811925411, 0.009215502068400383), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006368980277329683, 0.00023430828878190368, -0.015998566523194313), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.028163967654109, 0.006644504144787788, 0.010840971022844315), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.017965886741876602, -0.01610105112195015, 0.005657227244228125), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04111422598361969, -0.04474679008126259, 0.007000641897320747), (0.02322216145694256, -0.041758932173252106, -0.10532219707965851)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=26, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4764635562896729, 2.3951380252838135, 23.07103729248047), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.07232753932476044, 4.840569019317627, 23.085866928100586), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3542052507400513, 7.2815093994140625, 23.06257438659668), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.314318656921387, 2.332390785217285, 23.112430572509766), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.800067901611328, 4.889389514923096, 23.002365112304688), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4735784530639648, 7.2725138664245605, 23.08660125732422), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.1798295974731445, 2.357304096221924, 23.020475387573242), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.769543647766113, 4.846746921539307, 23.112241744995117), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.294867038726807, 7.277079105377197, 23.073284149169922), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.012066841125488, 3.624218225479126, 24.759674072265625), (4.259444236755371, 4.117630958557129, 25.159679412841797)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.078089714050293, energy_trajectory=[1.5949454307556152, 1.5767781734466553, 1.5628156661987305, 1.549851417541504, 1.5374987125396729, 1.5252389907836914, 1.5132193565368652, 1.5013699531555176, 1.4896936416625977, 1.4780604839324951, 1.4664268493652344, 1.4554593563079834, 1.4452428817749023, 1.4355013370513916, 1.4262745380401611, 1.4175000190734863, 1.4091358184814453, 1.4011406898498535, 1.3934826850891113, 1.3861329555511475, 1.3790671825408936, 1.3722624778747559, 1.3657398223876953, 1.3593969345092773, 1.3532624244689941, 1.3473234176635742, 1.3415672779083252, 1.3359827995300293, 1.3306326866149902, 1.3253626823425293, 1.3202321529388428, 1.315239429473877, 1.3103752136230469, 1.305633306503296, 1.3010077476501465, 1.2964935302734375, 1.292203426361084, 1.2878940105438232, 1.2836837768554688, 1.2795634269714355, 1.2755310535430908, 1.271592378616333, 1.2677326202392578, 1.2639522552490234, 1.2602479457855225, 1.2566180229187012, 1.2532169818878174, 1.2497293949127197, 1.2463114261627197, 1.2429580688476562, 1.239671230316162, 1.2362494468688965, 1.2329261302947998, 1.2298204898834229, 1.2267751693725586, 1.223707914352417, 1.220777988433838, 1.2179031372070312, 1.2150814533233643, 1.212315320968628, 1.2095999717712402, 1.2069382667541504, 1.204329252243042, 1.2017712593078613, 1.1992640495300293, 1.196807861328125, 1.1944012641906738, 1.1920440196990967, 1.1897358894348145, 1.1874761581420898, 1.1852655410766602, 1.1831023693084717, 1.1809849739074707, 1.1789147853851318, 1.1768896579742432, 1.1749083995819092, 1.1726787090301514, 1.1707878112792969, 1.1689398288726807, 1.167133092880249, 1.1653673648834229, 1.1637167930603027, 1.1621003150939941, 1.1604516506195068, 1.1588385105133057, 1.1572651863098145, 1.1557271480560303, 1.1542255878448486, 1.1527576446533203, 1.1513237953186035, 1.1499240398406982, 1.1485540866851807, 1.147216796875, 1.1459100246429443, 1.144484043121338, 1.1427805423736572, 1.1415588855743408, 1.1403629779815674, 1.1391918659210205, 1.137801170349121, 1.1366791725158691, 1.1355817317962646, 1.1345090866088867, 1.1334574222564697, 1.132429599761963, 1.1314215660095215, 1.1305625438690186, 1.1293580532073975, 1.1284101009368896, 1.1275973320007324, 1.126685380935669, 1.1257905960083008, 1.1249125003814697, 1.1240499019622803, 1.1232037544250488, 1.1223719120025635, 1.1215553283691406, 1.1207637786865234, 1.1199769973754883, 1.1192026138305664, 1.1184427738189697, 1.1176955699920654, 1.11696195602417, 1.116241216659546, 1.1155340671539307, 1.1148407459259033, 1.1141605377197266, 1.1134929656982422, 1.1123197078704834, 1.1116833686828613, 1.1110591888427734, 1.1104493141174316, 1.1098544597625732, 1.109273910522461, 1.1087086200714111, 1.108159065246582, 1.1076254844665527, 1.1071069240570068, 1.1066067218780518, 1.106121301651001, 1.1056535243988037, 1.1052024364471436, 1.1047687530517578, 1.104353427886963, 1.1039559841156006, 1.1035747528076172, 1.1032116413116455, 1.1028649806976318, 1.102534532546997, 1.1022202968597412, 1.1018948554992676, 1.1016111373901367, 1.1013414859771729, 1.1010856628417969, 1.1008424758911133, 1.1006107330322266, 1.1003904342651367, 1.1001801490783691, 1.0999796390533447, 1.0997881889343262, 1.0996050834655762, 1.099428653717041, 1.0992586612701416, 1.0990934371948242, 1.098933458328247, 1.0987765789031982, 1.0986237525939941, 1.0984723567962646, 1.0983233451843262, 1.0981760025024414, 1.0980300903320312, 1.0978829860687256, 1.0977389812469482, 1.0975942611694336, 1.0971896648406982, 1.0970468521118164, 1.0969023704528809, 1.0967581272125244, 1.0966145992279053, 1.0964696407318115, 1.0963244438171387, 1.096177339553833, 1.0960311889648438, 1.0958843231201172, 1.0957362651824951, 1.0955264568328857, 1.0953764915466309, 1.095226526260376, 1.0950746536254883, 1.094886064529419, 1.0947356224060059, 1.0945837497711182, 1.093923568725586, 1.0937693119049072, 1.0936152935028076, 1.0934605598449707, 1.093306541442871, 1.0931518077850342, 1.0929970741271973, 1.0928418636322021, 1.092686653137207, 1.0923750400543213, 1.092219591140747, 1.092064380645752, 1.0919075012207031, 1.0917515754699707, 1.0915939807891846, 1.0914363861083984, 1.091278314590454, 1.0911989212036133, 1.091040849685669, 1.0908825397491455, 1.0907237529754639, 1.0905640125274658, 1.0904030799865723, 1.0902445316314697, 1.0900826454162598, 1.089921474456787, 1.0897603034973145, 1.0895979404449463, 1.0894367694854736, 1.0892753601074219, 1.089113473892212, 1.0887715816497803, 1.0886096954345703, 1.0886244773864746, 1.0883684158325195, 1.088207483291626, 1.0880472660064697, 1.0878868103027344, 1.0877256393432617, 1.0875651836395264, 1.0874042510986328, 1.0872418880462646, 1.0870811939239502, 1.0869178771972656, 1.0867552757263184, 1.0865919589996338, 1.086428165435791, 1.0862641334533691, 1.086111307144165, 1.0859458446502686, 1.0857791900634766, 1.0856118202209473, 1.0848312377929688, 1.0846614837646484, 1.0844929218292236, 1.0843241214752197, 1.0841584205627441, 1.0839910507202148, 1.0838265419006348, 1.0836620330810547, 1.0834980010986328, 1.0833361148834229, 1.0831761360168457, 1.0830163955688477, 1.0828578472137451, 1.0827019214630127, 1.0825474262237549, 1.0823943614959717, 1.082176685333252, 1.0820283889770508, 1.0818819999694824, 1.081737995147705, 1.0815951824188232, 1.0814571380615234, 1.0813202857971191, 1.081392526626587, 1.0812599658966064, 1.0811305046081543, 1.0810019969940186, 1.080878496170044, 1.0807561874389648, 1.0806379318237305, 1.080521583557129, 1.0804078578948975, 1.0802977085113525, 1.0801894664764404, 1.0800836086273193, 1.0799798965454102, 1.0798661708831787, 1.0797688961029053, 1.0796756744384766, 1.0795831680297852, 1.0794930458068848, 1.0794055461883545, 1.0793213844299316, 1.0792365074157715, 1.0791563987731934, 1.0790770053863525, 1.0789990425109863, 1.0789244174957275, 1.0788509845733643, 1.0787794589996338, 1.079514741897583, 1.0794432163238525, 1.0793733596801758, 1.0793647766113281, 1.0781402587890625, 1.078089714050293], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008674525655806065, 0.0035484866239130497, -0.01620245911180973), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0075141084380447865, 0.0035346869844943285, -0.023389039561152458), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.015085355378687382, 0.013846687972545624, -0.01532333716750145), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003092139959335327, 0.055631157010793686, -0.01253489963710308), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.06028737127780914, -0.03219551220536232, 0.027529539540410042), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00665905000641942, 0.009668044745922089, -0.02229803241789341), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.018066396936774254, 0.016108743846416473, 0.0035243257880210876), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015839826315641403, -0.001245988649316132, -0.03343392536044121), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007472851313650608, 0.0030893234070390463, -0.017454059794545174), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.000813063932582736, 0.07857079803943634, -0.060008350759744644), (-0.025421341881155968, -0.08363109827041626, -0.10195007175207138)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=27, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3760392665863037, 2.4567770957946777, 23.04001235961914), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.049796316772699356, 4.925867557525635, 23.04405975341797), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4336482286453247, 7.369182109832764, 23.0738468170166), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.21551513671875, 2.465838670730591, 23.047340393066406), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.800929546356201, 4.936628341674805, 23.135032653808594), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.376258373260498, 7.38939905166626, 23.04718017578125), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.028151988983154, 2.481860399246216, 23.06978988647461), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.633045196533203, 4.925576210021973, 23.050966262817383), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.218620300292969, 7.382579326629639, 23.05463218688965), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (2.6597931385040283, 4.834301471710205, 25.125713348388672), (2.3040366172790527, 5.715121746063232, 25.370044708251953)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0074725151062012, energy_trajectory=[1.5164012908935547, 1.5058929920196533, 1.4975743293762207, 1.4892940521240234, 1.4810848236083984, 1.4729139804840088, 1.4647119045257568, 1.4564414024353027, 1.4481589794158936, 1.4401137828826904, 1.4321036338806152, 1.4242076873779297, 1.4165213108062744, 1.4094488620758057, 1.4020442962646484, 1.394745111465454, 1.3876104354858398, 1.380599021911621, 1.3737082481384277, 1.3669366836547852, 1.3611247539520264, 1.3546006679534912, 1.3481919765472412, 1.3419842720031738, 1.3356988430023193, 1.329594612121582, 1.3235893249511719, 1.3176782131195068, 1.3118607997894287, 1.3062772750854492, 1.3006396293640137, 1.295090913772583, 1.2892286777496338, 1.2838897705078125, 1.2785935401916504, 1.273197889328003, 1.2680654525756836, 1.2630116939544678, 1.258037805557251, 1.2531442642211914, 1.2483272552490234, 1.2436587810516357, 1.238999843597412, 1.234419822692871, 1.229832649230957, 1.2254095077514648, 1.2210211753845215, 1.2167460918426514, 1.2125446796417236, 1.208418607711792, 1.2044339179992676, 1.2005512714385986, 1.1966431140899658, 1.1928043365478516, 1.1890349388122559, 1.1853315830230713, 1.1816954612731934, 1.178124189376831, 1.1749742031097412, 1.1714434623718262, 1.1680903434753418, 1.1647789478302002, 1.1614830493927002, 1.158205509185791, 1.1551682949066162, 1.1519334316253662, 1.149043083190918, 1.1462254524230957, 1.1434791088104248, 1.1408004760742188, 1.1381890773773193, 1.1356441974639893, 1.1331636905670166, 1.1307456493377686, 1.1283905506134033, 1.126096248626709, 1.1238579750061035, 1.1216809749603271, 1.1195600032806396, 1.1174952983856201, 1.1154844760894775, 1.1135294437408447, 1.1116247177124023, 1.109706163406372, 1.1079041957855225, 1.1062567234039307, 1.1045522689819336, 1.1028947830200195, 1.101283311843872, 1.099717378616333, 1.0981941223144531, 1.0967130661010742, 1.0952720642089844, 1.0938713550567627, 1.0925085544586182, 1.0911836624145508, 1.0898945331573486, 1.0886411666870117, 1.0871281623840332, 1.0869932174682617, 1.0858209133148193, 1.0846779346466064, 1.083566665649414, 1.082392692565918, 1.0813381671905518, 1.0803132057189941, 1.0794179439544678, 1.0784435272216797, 1.0774965286254883, 1.0765762329101562, 1.0756254196166992, 1.074756383895874, 1.0739128589630127, 1.0730950832366943, 1.0723564624786377, 1.071587085723877, 1.07084059715271, 1.0701179504394531, 1.0694196224212646, 1.0687432289123535, 1.0680911540985107, 1.067460298538208, 1.0668525695800781, 1.0662651062011719, 1.0656991004943848, 1.0651538372039795, 1.0646271705627441, 1.0641210079193115, 1.0636334419250488, 1.0631637573242188, 1.0627093315124512, 1.0622656345367432, 1.0618412494659424, 1.0614314079284668, 1.06103515625, 1.060650110244751, 1.0602753162384033, 1.0599102973937988, 1.059556007385254, 1.059208869934082, 1.0591294765472412, 1.0587971210479736, 1.0585758686065674, 1.058255910873413, 1.0579414367675781, 1.0576324462890625, 1.057326316833496, 1.0570244789123535, 1.0566797256469727, 1.056384563446045, 1.0560951232910156, 1.0575509071350098, 1.0571393966674805, 1.0568435192108154, 1.0565452575683594, 1.05625581741333, 1.0559706687927246, 1.0556879043579102, 1.055408239364624, 1.055131435394287, 1.0548577308654785, 1.05458664894104, 1.0543177127838135, 1.0540518760681152, 1.0535845756530762, 1.0533246994018555, 1.053069829940796, 1.0528192520141602, 1.0525708198547363, 1.0523278713226318, 1.0520892143249512, 1.0518548488616943, 1.0516233444213867, 1.0513973236083984, 1.051173210144043, 1.0509541034698486, 1.0507383346557617, 1.0505270957946777, 1.0503005981445312, 1.0500953197479248, 1.049891710281372, 1.0496902465820312, 1.0493848323822021, 1.0489556789398193, 1.0488171577453613, 1.0484468936920166, 1.0482468605041504, 1.0480475425720215, 1.0478460788726807, 1.047642469406128, 1.0474374294281006, 1.047229290008545, 1.0470197200775146, 1.0468065738677979, 1.0465900897979736, 1.0463690757751465, 1.046144962310791, 1.0459177494049072, 1.0456857681274414, 1.0454514026641846, 1.0452115535736084, 1.044968843460083, 1.044722557067871, 1.0444726943969727, 1.0442445278167725, 1.0439887046813965, 1.0437276363372803, 1.043473720550537, 1.0432062149047852, 1.0416462421417236, 1.0413539409637451, 1.0410587787628174, 1.0407593250274658, 1.0404565334320068, 1.040149450302124, 1.0402796268463135, 1.039968729019165, 1.0396544933319092, 1.039335012435913, 1.0390124320983887, 1.0386855602264404, 1.0383532047271729, 1.0380237102508545, 1.0376811027526855, 1.037334680557251, 1.0369844436645508, 1.0366284847259521, 1.0362684726715088, 1.035905122756958, 1.0355377197265625, 1.035165548324585, 1.0347893238067627, 1.0344090461730957, 1.034024953842163, 1.0336370468139648, 1.0332436561584473, 1.0328476428985596, 1.0324487686157227, 1.0320460796356201, 1.0316407680511475, 1.0312325954437256, 1.0308215618133545, 1.0304081439971924, 1.029991865158081, 1.0295734405517578, 1.0291526317596436, 1.0287299156188965, 1.0283052921295166, 1.0278780460357666, 1.0274503231048584, 1.02701997756958, 1.0265896320343018, 1.0261573791503906, 1.0257251262664795, 1.0252904891967773, 1.0248568058013916, 1.0244224071502686, 1.0239882469177246, 1.0235533714294434, 1.0231201648712158, 1.0226869583129883, 1.0222551822662354, 1.0218229293823242, 1.021393060684204, 1.0209643840789795, 1.020538330078125, 1.0201144218444824, 1.0192646980285645, 1.018845558166504, 1.0184288024902344, 1.0180160999298096, 1.0176057815551758, 1.017198085784912, 1.0167946815490723, 1.0163941383361816, 1.0159969329833984, 1.0156033039093018, 1.0152127742767334, 1.0148251056671143, 1.0144398212432861, 1.0143835544586182, 1.014000654220581, 1.0136210918426514, 1.013242483139038, 1.0129001140594482, 1.0125248432159424, 1.012152910232544, 1.0117831230163574, 1.0114147663116455, 1.0109748840332031, 1.0106091499328613, 1.0102436542510986, 1.0098788738250732, 1.0096492767333984, 1.0092861652374268, 1.0089223384857178, 1.008558988571167, 1.0081968307495117, 1.0078344345092773, 1.0074725151062012], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013223500922322273, -0.002642550505697727, 0.005856551229953766), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.03542618826031685, -0.016406303271651268, -0.006885755807161331), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011654380708932877, -0.016983604058623314, -0.017055122181773186), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012019366025924683, -0.01789538562297821, -0.013239136897027493), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02390339784324169, -0.03277845308184624, -0.052347224205732346), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02038637362420559, -0.041825879365205765, 0.0013707056641578674), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011289604008197784, -0.01769418455660343, -0.014948043040931225), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014718908816576004, -0.015257969498634338, -0.012495742179453373), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0038497743662446737, -0.021958326920866966, -0.01242058165371418), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.029801061376929283, 0.08061020821332932, -0.0327131524682045), (0.009740257635712624, -0.026692071929574013, 0.16317497193813324)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=28, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4407402276992798, 2.4114975929260254, 23.055957794189453), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.027104215696454048, 4.8504133224487305, 23.06864356994629), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3683056831359863, 7.298426151275635, 23.0590763092041), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.2602763175964355, 2.409074544906616, 23.07630729675293), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.831376075744629, 4.818231582641602, 23.042028427124023), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4090849161148071, 7.305069446563721, 23.032583236694336), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.073361396789551, 2.419670820236206, 23.053035736083984), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.692038059234619, 4.826938152313232, 23.0421085357666), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.277454853057861, 7.27651834487915, 23.143775939941406), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (3.9857447147369385, 6.963092803955078, 25.102853775024414), (4.602772235870361, 6.23596715927124, 25.33843231201172)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0435705184936523, energy_trajectory=[1.3507733345031738, 1.3445353507995605, 1.3384180068969727, 1.3325788974761963, 1.3268423080444336, 1.3211596012115479, 1.3155159950256348, 1.3100051879882812, 1.3044140338897705, 1.2988767623901367, 1.293639898300171, 1.2887229919433594, 1.2839758396148682, 1.2793910503387451, 1.275036334991455, 1.2705481052398682, 1.2665348052978516, 1.262662410736084, 1.2589178085327148, 1.2552919387817383, 1.2518508434295654, 1.2484354972839355, 1.2451262474060059, 1.241908311843872, 1.2400665283203125, 1.2370226383209229, 1.2340593338012695, 1.2310502529144287, 1.228241205215454, 1.225290298461914, 1.2226271629333496, 1.2200343608856201, 1.21750807762146, 1.2148842811584473, 1.2124865055084229, 1.2102513313293457, 1.2079732418060303, 1.2057533264160156, 1.2035880088806152, 1.2014048099517822, 1.1993434429168701, 1.1973345279693604, 1.1953723430633545, 1.1934590339660645, 1.1915919780731201, 1.1897761821746826, 1.1879980564117432, 1.1862611770629883, 1.1845650672912598, 1.1833932399749756, 1.181788444519043, 1.1801228523254395, 1.1785924434661865, 1.177098274230957, 1.1756398677825928, 1.1742150783538818, 1.1728236675262451, 1.171638011932373, 1.1703102588653564, 1.169013500213623, 1.1677470207214355, 1.1665096282958984, 1.1653013229370117, 1.1641201972961426, 1.1629657745361328, 1.1618382930755615, 1.1607239246368408, 1.159745454788208, 1.1586902141571045, 1.157510757446289, 1.1564993858337402, 1.1555101871490479, 1.154540777206421, 1.153367042541504, 1.1521246433258057, 1.1512091159820557, 1.1504247188568115, 1.1494431495666504, 1.1485810279846191, 1.1477367877960205, 1.1469078063964844, 1.1460933685302734, 1.145294427871704, 1.1448636054992676, 1.1440906524658203, 1.1433327198028564, 1.142587661743164, 1.141855001449585, 1.1411352157592773, 1.140427589416504, 1.1397318840026855, 1.1390478610992432, 1.1383743286132812, 1.1377127170562744, 1.1370606422424316, 1.1364192962646484, 1.1357862949371338, 1.1351125240325928, 1.1344976425170898, 1.133892297744751, 1.1332948207855225, 1.1327037811279297, 1.132120132446289, 1.1314246654510498, 1.130854606628418, 1.1302909851074219, 1.1297335624694824, 1.1291821002960205, 1.128636121749878, 1.1280958652496338, 1.1275615692138672, 1.1270310878753662, 1.1265063285827637, 1.1259868144989014, 1.1254711151123047, 1.1249597072601318, 1.1244525909423828, 1.1240565776824951, 1.123556137084961, 1.1230599880218506, 1.1225674152374268, 1.1220781803131104, 1.1215918064117432, 1.1211090087890625, 1.120629072189331, 1.1201519966125488, 1.1195719242095947, 1.1191010475158691, 1.1186325550079346, 1.1181676387786865, 1.1177048683166504, 1.1172447204589844, 1.1167869567871094, 1.1163139343261719, 1.1162402629852295, 1.1157889366149902, 1.1153409481048584, 1.114893913269043, 1.1144497394561768, 1.11403489112854, 1.1135945320129395, 1.1131560802459717, 1.1126604080200195, 1.1122245788574219, 1.1118509769439697, 1.111419677734375, 1.110987901687622, 1.1103484630584717, 1.1099557876586914, 1.1095249652862549, 1.1090929508209229, 1.10866117477417, 1.1082286834716797, 1.1077964305877686, 1.107362985610962, 1.1066725254058838, 1.1062376499176025, 1.1055762767791748, 1.1051363945007324, 1.1046943664550781, 1.1043190956115723, 1.103874683380127, 1.1034274101257324, 1.102978229522705, 1.1025276184082031, 1.1020750999450684, 1.1016206741333008, 1.1011645793914795, 1.1007072925567627, 1.1002488136291504, 1.0997898578643799, 1.0991225242614746, 1.0986602306365967, 1.0981972217559814, 1.0977356433868408, 1.0972747802734375, 1.096815824508667, 1.0963566303253174, 1.0959007740020752, 1.0949993133544922, 1.0945417881011963, 1.0940845012664795, 1.0936279296875, 1.093172311782837, 1.092717170715332, 1.0922648906707764, 1.0918140411376953, 1.0913670063018799, 1.0909216403961182, 1.090479850769043, 1.089996576309204, 1.089562177658081, 1.0891287326812744, 1.0886986255645752, 1.0882720947265625, 1.0878472328186035, 1.087425947189331, 1.0870072841644287, 1.0865914821624756, 1.086073637008667, 1.0856621265411377, 1.085252046585083, 1.0848431587219238, 1.0844359397888184, 1.0840282440185547, 1.0836236476898193, 1.0832176208496094, 1.0828123092651367, 1.0824065208435059, 1.082000494003296, 1.0815935134887695, 1.0811853408813477, 1.0807759761810303, 1.0803651809692383, 1.0799529552459717, 1.079538345336914, 1.079054355621338, 1.0786359310150146, 1.0782151222229004, 1.077791452407837, 1.0773653984069824, 1.0769364833831787, 1.0765037536621094, 1.0760688781738281, 1.0756304264068604, 1.0751900672912598, 1.0747463703155518, 1.074298620223999, 1.0738487243652344, 1.073896884918213, 1.0734446048736572, 1.0729897022247314, 1.0725314617156982, 1.0720741748809814, 1.0716145038604736, 1.0711536407470703, 1.0706923007965088, 1.070317029953003, 1.069856882095337, 1.0693953037261963, 1.0706679821014404, 1.0702052116394043, 1.0697386264801025, 1.0692756175994873, 1.0688142776489258, 1.0683543682098389, 1.0678939819335938, 1.0674347877502441, 1.0669760704040527, 1.0665178298950195, 1.0660583972930908, 1.0656003952026367, 1.06526517868042, 1.0648088455200195, 1.0643587112426758, 1.063901662826538, 1.063443660736084, 1.0629851818084717, 1.0625250339508057, 1.0620653629302979, 1.0616042613983154, 1.0611438751220703, 1.0606820583343506, 1.0602185726165771, 1.0597569942474365, 1.0592947006225586, 1.0588319301605225, 1.058370590209961, 1.057647943496704, 1.0571842193603516, 1.056992530822754, 1.0565104484558105, 1.0560307502746582, 1.0555527210235596, 1.0550763607025146, 1.0545790195465088, 1.0541086196899414, 1.0536389350891113, 1.0531728267669678, 1.0527114868164062, 1.0515837669372559, 1.0511329174041748, 1.0506858825683594, 1.0502417087554932, 1.049802303314209, 1.049365758895874, 1.048931360244751, 1.0485014915466309, 1.0480754375457764, 1.0476529598236084, 1.0472331047058105, 1.0467772483825684, 1.0463638305664062, 1.0459544658660889, 1.0455479621887207, 1.0451457500457764, 1.0447466373443604, 1.04435133934021, 1.043959140777588, 1.0435705184936523], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005785211455076933, 0.0104808509349823, -0.013242753222584724), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011222632601857185, 0.005768789444118738, -0.01235260535031557), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011403258889913559, 0.0030736736953258514, -0.013723308220505714), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009150085970759392, 0.00610104575753212, -0.016865435987710953), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003769915783777833, 0.021950997412204742, -0.007993821986019611), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004135227762162685, -0.002189893741160631, 0.01211671344935894), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010139547288417816, 0.008398469537496567, -0.014332122169435024), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0256238654255867, 0.020182719454169273, 0.004741375334560871), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.017148317769169807, 0.013842069543898106, -0.015163482166826725), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.08716477453708649, 0.08493827283382416, -0.0007754283724352717), (-0.018922118470072746, 0.060986798256635666, 0.0584089569747448)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=29, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.409055233001709, 2.4322288036346436, 23.04851722717285), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.01976018212735653, 4.8430867195129395, 23.04464340209961), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3848367929458618, 7.284919261932373, 23.172346115112305), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.241341590881348, 2.4290554523468018, 23.053712844848633), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8255326747894287, 4.86443567276001, 23.06807518005371), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4329386949539185, 7.312146186828613, 23.05629539489746), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.0585832595825195, 2.4218363761901855, 23.075069427490234), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.632692813873291, 4.838558197021484, 23.04241943359375), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.21600341796875, 7.314971446990967, 23.038301467895508), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-1.5402066707611084, 7.155883312225342, 25.16470718383789), (-0.9986030459403992, 6.3856201171875, 25.444398880004883)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0105512142181396, energy_trajectory=[1.345130205154419, 1.3373045921325684, 1.3300435543060303, 1.3230068683624268, 1.3161191940307617, 1.3095378875732422, 1.3033006191253662, 1.2971949577331543, 1.2915425300598145, 1.2861311435699463, 1.2812175750732422, 1.2762207984924316, 1.2713987827301025, 1.266737937927246, 1.262223482131958, 1.257688045501709, 1.2534332275390625, 1.2492964267730713, 1.2455241680145264, 1.2416038513183594, 1.2377803325653076, 1.234048843383789, 1.2304048538208008, 1.226844072341919, 1.223362922668457, 1.219956636428833, 1.2166242599487305, 1.213242530822754, 1.210036039352417, 1.2069060802459717, 1.203838586807251, 1.200831413269043, 1.1978819370269775, 1.1949899196624756, 1.1922953128814697, 1.1895089149475098, 1.1869029998779297, 1.184216022491455, 1.1814920902252197, 1.1789042949676514, 1.177008867263794, 1.1745061874389648, 1.1720459461212158, 1.1696279048919678, 1.167252540588379, 1.1649158000946045, 1.162618637084961, 1.1603586673736572, 1.1581368446350098, 1.1559510231018066, 1.1537995338439941, 1.1516823768615723, 1.1495985984802246, 1.1475472450256348, 1.1455280780792236, 1.1435394287109375, 1.1415801048278809, 1.1396510601043701, 1.1377496719360352, 1.1358766555786133, 1.1340305805206299, 1.1322085857391357, 1.1304140090942383, 1.1286442279815674, 1.1268994808197021, 1.1251764297485352, 1.1234774589538574, 1.1218163967132568, 1.12019944190979, 1.1186246871948242, 1.1168792247772217, 1.1153817176818848, 1.1139214038848877, 1.1124966144561768, 1.1111063957214355, 1.1097478866577148, 1.108421802520752, 1.1071264743804932, 1.1058602333068848, 1.1046228408813477, 1.10341215133667, 1.1022281646728516, 1.1010699272155762, 1.0999364852905273, 1.0988776683807373, 1.0977904796600342, 1.096726894378662, 1.0956850051879883, 1.0946638584136963, 1.0936644077301025, 1.0926835536956787, 1.0917234420776367, 1.0907416343688965, 1.0898187160491943, 1.0889134407043457, 1.0880260467529297, 1.0871555805206299, 1.0863022804260254, 1.0854661464691162, 1.084646224975586, 1.0838439464569092, 1.083056926727295, 1.082404375076294, 1.0816504955291748, 1.0809121131896973, 1.079899787902832, 1.079193353652954, 1.0785036087036133, 1.077826976776123, 1.0771644115447998, 1.0765190124511719, 1.0758869647979736, 1.0752689838409424, 1.0746641159057617, 1.073587417602539, 1.0730085372924805, 1.0724413394927979, 1.0718836784362793, 1.0713365077972412, 1.0707976818084717, 1.070267915725708, 1.0697474479675293, 1.0692331790924072, 1.0687260627746582, 1.068225383758545, 1.0677299499511719, 1.0672399997711182, 1.0667545795440674, 1.0662314891815186, 1.0656609535217285, 1.0651826858520508, 1.0647070407867432, 1.0642318725585938, 1.0637576580047607, 1.0632851123809814, 1.0628111362457275, 1.0623373985290527, 1.0612857341766357, 1.0608043670654297, 1.0603232383728027, 1.059844970703125, 1.05936861038208, 1.0588936805725098, 1.0585999488830566, 1.0581209659576416, 1.0576467514038086, 1.0571508407592773, 1.058260440826416, 1.0576300621032715, 1.057149887084961, 1.0566775798797607, 1.0562100410461426, 1.0557482242584229, 1.0552914142608643, 1.0548396110534668, 1.0543944835662842, 1.0539534091949463, 1.0535194873809814, 1.0530900955200195, 1.0526647567749023, 1.052246332168579, 1.0518314838409424, 1.051422119140625, 1.0510163307189941, 1.0506153106689453, 1.050217628479004, 1.0498223304748535, 1.0495378971099854, 1.0491480827331543, 1.048546552658081, 1.0481410026550293, 1.0477380752563477, 1.047335147857666, 1.0469350814819336, 1.0465359687805176, 1.0461368560791016, 1.0457403659820557, 1.0453462600708008, 1.0449533462524414, 1.0445623397827148, 1.0441744327545166, 1.043788194656372, 1.0434045791625977, 1.043022871017456, 1.0426456928253174, 1.0422711372375488, 1.041900634765625, 1.0415325164794922, 1.0411686897277832, 1.0402734279632568, 1.039921760559082, 1.0395734310150146, 1.0402641296386719, 1.0399105548858643, 1.039565086364746, 1.03910493850708, 1.0387687683105469, 1.0384397506713867, 1.0381155014038086, 1.0377957820892334, 1.0374820232391357, 1.0371730327606201, 1.0368702411651611, 1.0365729331970215, 1.0363612174987793, 1.0360703468322754, 1.03578519821167, 1.0355055332183838, 1.0352306365966797, 1.0347199440002441, 1.034224271774292, 1.0339596271514893, 1.033698320388794, 1.0334391593933105, 1.0331823825836182, 1.0329289436340332, 1.0326764583587646, 1.0324256420135498, 1.0321757793426514, 1.0319287776947021, 1.0316812992095947, 1.031435251235962, 1.03118896484375, 1.0309419631958008, 1.0306434631347656, 1.0303983688354492, 1.0301539897918701, 1.0299088954925537, 1.0296645164489746, 1.0294203758239746, 1.0291762351989746, 1.0289320945739746, 1.0264639854431152, 1.0262649059295654, 1.0260131359100342, 1.0257601737976074, 1.025505542755127, 1.0252506732940674, 1.0251693725585938, 1.024872064590454, 1.0246169567108154, 1.0243632793426514, 1.02410888671875, 1.0238544940948486, 1.0236029624938965, 1.0233523845672607, 1.0231025218963623, 1.022855520248413, 1.022608995437622, 1.0222692489624023, 1.0220258235931396, 1.0217835903167725, 1.0215425491333008, 1.0213038921356201, 1.0210652351379395, 1.0208275318145752, 1.02059006690979, 1.0203540325164795, 1.0201196670532227, 1.019883632659912, 1.0196483135223389, 1.019413948059082, 1.019178867340088, 1.018944263458252, 1.0187098979949951, 1.01847505569458, 1.018240213394165, 1.0180034637451172, 1.0177679061889648, 1.0175304412841797, 1.0172927379608154, 1.0170559883117676, 1.0168190002441406, 1.0165808200836182, 1.0163424015045166, 1.0161035060882568, 1.0158638954162598, 1.015625238418579, 1.0153870582580566, 1.0151493549346924, 1.01491117477417, 1.0146727561950684, 1.014437198638916, 1.01420259475708, 1.013967514038086, 1.0137345790863037, 1.0135035514831543, 1.013272762298584, 1.0128562450408936, 1.0126309394836426, 1.012406826019287, 1.0121850967407227, 1.0119662284851074, 1.0117475986480713, 1.011533260345459, 1.0113201141357422, 1.0111083984375, 1.010901689529419, 1.0107519626617432, 1.0105512142181396], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002344055101275444, -0.0003812116337940097, -0.010596017353236675), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008367765694856644, 0.012281597591936588, 0.004457548726350069), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0029784240759909153, 0.016942311078310013, -0.025609107688069344), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004391804337501526, 0.004226530436426401, -0.013056616298854351), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0019535142928361893, 0.0001852451532613486, -0.009920507669448853), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00010268490586895496, -0.0008054870995692909, -0.01267978735268116), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0024404379073530436, 0.001270162989385426, -0.0154580008238554), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010682624764740467, 0.017560798674821854, -0.0006875941180624068), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012843250297009945, -0.0043241106905043125, 0.007297523319721222), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.032780494540929794, 0.04018184542655945, -0.016892215237021446), (-0.020263340324163437, 0.07340777665376663, -0.05256446823477745)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=30, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4519490003585815, 2.425291061401367, 23.07541847229004), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.032270047813653946, 4.8496246337890625, 23.046716690063477), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3967078924179077, 7.313294887542725, 23.04184913635254), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.256200790405273, 2.452129364013672, 23.04132843017578), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8695380687713623, 4.856522560119629, 23.05527687072754), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4530318975448608, 7.318206310272217, 23.116479873657227), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.106637954711914, 2.4433631896972656, 23.047924041748047), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.682523250579834, 4.869022369384766, 23.071277618408203), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.289937496185303, 7.31121301651001, 23.054641723632812), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.2768032550811768, 7.423381328582764, 25.10382652282715), (1.997903823852539, 6.845772743225098, 25.42825698852539)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0025622844696045, energy_trajectory=[1.5345613956451416, 1.5219626426696777, 1.5134294033050537, 1.5046343803405762, 1.495823621749878, 1.4869468212127686, 1.4779040813446045, 1.4691402912139893, 1.4600815773010254, 1.4509985446929932, 1.442101240158081, 1.4333670139312744, 1.4247887134552002, 1.4163539409637451, 1.408050775527954, 1.4003255367279053, 1.3922827243804932, 1.3843586444854736, 1.376551866531372, 1.3688592910766602, 1.3612778186798096, 1.3538086414337158, 1.3464457988739014, 1.339189052581787, 1.332423210144043, 1.3254022598266602, 1.3184621334075928, 1.3116257190704346, 1.304887056350708, 1.2982468605041504, 1.2916967868804932, 1.2852568626403809, 1.2789332866668701, 1.272684097290039, 1.266528844833374, 1.260467529296875, 1.2544958591461182, 1.2486164569854736, 1.2433242797851562, 1.237597942352295, 1.231945514678955, 1.22637939453125, 1.2206847667694092, 1.2152929306030273, 1.2099857330322266, 1.2043657302856445, 1.1992318630218506, 1.1941859722137451, 1.1891944408416748, 1.1843180656433105, 1.1794157028198242, 1.1747126579284668, 1.1700966358184814, 1.1655659675598145, 1.1611230373382568, 1.1568098068237305, 1.152536153793335, 1.1483454704284668, 1.1442394256591797, 1.1402146816253662, 1.1362693309783936, 1.1324045658111572, 1.1286156177520752, 1.124906063079834, 1.121424913406372, 1.1178674697875977, 1.114380121231079, 1.1109673976898193, 1.1076271533966064, 1.1043574810028076, 1.1011598110198975, 1.0977210998535156, 1.0946645736694336, 1.091676950454712, 1.088757038116455, 1.085904836654663, 1.0831215381622314, 1.0804054737091064, 1.0777571201324463, 1.0751745700836182, 1.0726590156555176, 1.0702104568481445, 1.0678274631500244, 1.065506935119629, 1.0633113384246826, 1.0611181259155273, 1.0589895248413086, 1.0569207668304443, 1.0548038482666016, 1.052861213684082, 1.0509791374206543, 1.0491573810577393, 1.0473952293395996, 1.045689582824707, 1.0440468788146973, 1.0424587726593018, 1.040928602218628, 1.0394554138183594, 1.0380377769470215, 1.0366742610931396, 1.0353631973266602, 1.0341060161590576, 1.0328996181488037, 1.0317425727844238, 1.0306320190429688, 1.0295696258544922, 1.0287847518920898, 1.0278136730194092, 1.0268828868865967, 1.025996446609497, 1.0251495838165283, 1.0243451595306396, 1.023606777191162, 1.0228841304779053, 1.022202730178833, 1.0215628147125244, 1.0209617614746094, 1.0204010009765625, 1.0198822021484375, 1.019350290298462, 1.0189085006713867, 1.0185041427612305, 1.0181336402893066, 1.0177977085113525, 1.0174891948699951, 1.0172107219696045, 1.0169556140899658, 1.0168616771697998, 1.01664400100708, 1.0164430141448975, 1.0162580013275146, 1.0160884857177734, 1.0159311294555664, 1.0157876014709473, 1.0156550407409668, 1.0154573917388916, 1.0153465270996094, 1.0152475833892822, 1.0151584148406982, 1.0150792598724365, 1.0150065422058105, 1.0149462223052979, 1.014892578125, 1.014845371246338, 1.014805793762207, 1.0147700309753418, 1.0146520137786865, 1.014622449874878, 1.0145933628082275, 1.0145673751831055, 1.0145411491394043, 1.0145134925842285, 1.0144867897033691, 1.0140514373779297, 1.0140225887298584, 1.013990879058838, 1.0139570236206055, 1.0139224529266357, 1.013883352279663, 1.0138425827026367, 1.0137112140655518, 1.0136699676513672, 1.0136253833770752, 1.0135807991027832, 1.013533592224121, 1.0134861469268799, 1.0134379863739014, 1.01338791847229, 1.0133378505706787, 1.0132861137390137, 1.0132331848144531, 1.0131793022155762, 1.0131256580352783, 1.0130701065063477, 1.0130128860473633, 1.0132863521575928, 1.0132267475128174, 1.0131664276123047, 1.0131034851074219, 1.012913703918457, 1.0128483772277832, 1.0127818584442139, 1.012650966644287, 1.0125751495361328, 1.0124988555908203, 1.0124201774597168, 1.0123391151428223, 1.0122568607330322, 1.0121722221374512, 1.012007474899292, 1.0119211673736572, 1.0117683410644531, 1.0116796493530273, 1.0115892887115479, 1.0114977359771729, 1.0114059448242188, 1.0113112926483154, 1.0112152099609375, 1.0111184120178223, 1.0110197067260742, 1.0109200477600098, 1.0108203887939453, 1.0107181072235107, 1.0106167793273926, 1.0105140209197998, 1.0104084014892578, 1.0103025436401367, 1.0101957321166992, 1.0093541145324707, 1.0092508792877197, 1.0091464519500732, 1.0090279579162598, 1.0089223384857178, 1.0097215175628662, 1.0095694065093994, 1.0094642639160156, 1.0093579292297363, 1.0093684196472168, 1.0096938610076904, 1.0095860958099365, 1.0094799995422363, 1.0093727111816406, 1.0092675685882568, 1.0091629028320312, 1.0090603828430176, 1.008958101272583, 1.0088560581207275, 1.0087575912475586, 1.0086581707000732, 1.0085604190826416, 1.0084657669067383, 1.0083720684051514, 1.00827956199646, 1.008188009262085, 1.0080976486206055, 1.0080091953277588, 1.007922887802124, 1.0078377723693848, 1.0077545642852783, 1.0076720714569092, 1.0075912475585938, 1.007511854171753, 1.0074331760406494, 1.0073559284210205, 1.0072805881500244, 1.007206916809082, 1.0071349143981934, 1.0070648193359375, 1.0069949626922607, 1.006925344467163, 1.0068583488464355, 1.006791591644287, 1.0066545009613037, 1.0065889358520508, 1.0065226554870605, 1.0064575672149658, 1.006392240524292, 1.0063269138336182, 1.006263256072998, 1.0061991214752197, 1.0061352252960205, 1.0060713291168213, 1.0060076713562012, 1.005944013595581, 1.0058794021606445, 1.0058140754699707, 1.0056452751159668, 1.005579948425293, 1.0055134296417236, 1.0054490566253662, 1.005035161972046, 1.0048878192901611, 1.0048267841339111, 1.0047647953033447, 1.0047032833099365, 1.004643440246582, 1.0045840740203857, 1.0045247077941895, 1.0044655799865723, 1.0044059753417969, 1.0043485164642334, 1.003446102142334, 1.0033881664276123, 1.0033302307128906, 1.0032737255096436, 1.0032174587249756, 1.0031616687774658, 1.0031073093414307, 1.0030517578125, 1.002997875213623, 1.0029444694519043, 1.0028917789459229, 1.0028390884399414, 1.0027868747711182, 1.0027949810028076, 1.0027422904968262, 1.0026893615722656, 1.002638816833496, 1.0026109218597412, 1.0025622844696045], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02338406629860401, 0.014771758578717709, -0.02264697104692459), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01734115369617939, 0.02394775114953518, -0.010073469951748848), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014688660390675068, 0.01122748851776123, -0.01192259881645441), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016094792634248734, 0.0061307563446462154, -0.012920379638671875), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02903505228459835, 0.023628491908311844, -0.011588226072490215), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.018750885501503944, 0.00678246608003974, -0.021737338975071907), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.028525058180093765, 0.004321165382862091, -0.01221268530935049), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.022783678025007248, 0.014085632748901844, -0.01916404999792576), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03622014448046684, 0.01462552696466446, -0.011347442865371704), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0877317264676094, -0.0675380527973175, -0.00019564261310733855), (0.02164478227496147, -0.01547779981046915, 0.1728638857603073)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=31, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.424911379814148, 2.4213368892669678, 23.07552719116211), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-6.0014190239598975e-05, 4.82991886138916, 23.045154571533203), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4232568740844727, 7.318450927734375, 23.035573959350586), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.243286609649658, 2.4257590770721436, 23.060205459594727), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.860466241836548, 4.834349155426025, 23.031267166137695), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4331766366958618, 7.294084548950195, 23.14917755126953), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.069856643676758, 2.424069404602051, 23.057266235351562), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.657588481903076, 4.862792015075684, 23.068153381347656), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.264229774475098, 7.312767028808594, 23.053508758544922), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.2724030017852783, 6.830460548400879, 25.09815216064453), (0.42753782868385315, 7.214623928070068, 25.41780662536621)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0345001220703125, energy_trajectory=[1.5063588619232178, 1.4991004467010498, 1.4910566806793213, 1.4833991527557373, 1.4760363101959229, 1.4689269065856934, 1.4620444774627686, 1.455068588256836, 1.4485721588134766, 1.4422457218170166, 1.4360761642456055, 1.4300546646118164, 1.4241511821746826, 1.4184057712554932, 1.4127857685089111, 1.4072861671447754, 1.4019768238067627, 1.3966991901397705, 1.3915302753448486, 1.386462926864624, 1.3814952373504639, 1.3766233921051025, 1.3718452453613281, 1.367156982421875, 1.362555980682373, 1.3580389022827148, 1.3539109230041504, 1.3495571613311768, 1.3452811241149902, 1.3410804271697998, 1.3369553089141846, 1.3329017162322998, 1.3288536071777344, 1.324939250946045, 1.321291446685791, 1.3170578479766846, 1.3133389949798584, 1.3096799850463867, 1.3060812950134277, 1.3025391101837158, 1.299055576324463, 1.2956287860870361, 1.2920520305633545, 1.2887344360351562, 1.2854688167572021, 1.282573938369751, 1.2794137001037598, 1.2763020992279053, 1.2732374668121338, 1.2702195644378662, 1.2672479152679443, 1.2640111446380615, 1.2611255645751953, 1.2582826614379883, 1.255483865737915, 1.2527270317077637, 1.250011682510376, 1.2473349571228027, 1.244699478149414, 1.2421019077301025, 1.2395429611206055, 1.2370214462280273, 1.234466791152954, 1.2321724891662598, 1.2297618389129639, 1.2273879051208496, 1.2250492572784424, 1.2222704887390137, 1.2200047969818115, 1.2177703380584717, 1.2155699729919434, 1.2134039402008057, 1.211270809173584, 1.2091712951660156, 1.2071049213409424, 1.204944133758545, 1.2027697563171387, 1.200798511505127, 1.1988592147827148, 1.1969521045684814, 1.1950054168701172, 1.1931397914886475, 1.19132399559021, 1.1895387172698975, 1.1877822875976562, 1.1860547065734863, 1.184356927871704, 1.1826863288879395, 1.1810429096221924, 1.179548740386963, 1.1779592037200928, 1.1763942241668701, 1.1748549938201904, 1.1733403205871582, 1.1718506813049316, 1.1703839302062988, 1.1690690517425537, 1.1674270629882812, 1.166029453277588, 1.1646528244018555, 1.1634521484375, 1.1621181964874268, 1.160804033279419, 1.159510612487793, 1.1582365036010742, 1.1569819450378418, 1.155745267868042, 1.1545276641845703, 1.1533491611480713, 1.1521656513214111, 1.1509995460510254, 1.1498427391052246, 1.1487884521484375, 1.1476695537567139, 1.1465668678283691, 1.1454777717590332, 1.144404411315918, 1.1433444023132324, 1.1422991752624512, 1.1412663459777832, 1.1402475833892822, 1.1392407417297363, 1.1382465362548828, 1.1372640132904053, 1.1362929344177246, 1.13533353805542, 1.1343841552734375, 1.1334469318389893, 1.1325185298919678, 1.1316304206848145, 1.1307215690612793, 1.129821538925171, 1.127084732055664, 1.1262011528015137, 1.1253271102905273, 1.1244606971740723, 1.1236026287078857, 1.1225903034210205, 1.121748447418213, 1.1209156513214111, 1.1200883388519287, 1.1192693710327148, 1.1184587478637695, 1.1176540851593018, 1.1168577671051025, 1.1160690784454346, 1.1152868270874023, 1.1145122051239014, 1.1137452125549316, 1.1129848957061768, 1.112231969833374, 1.1114864349365234, 1.1108360290527344, 1.1101047992706299, 1.1093804836273193, 1.1086630821228027, 1.1079518795013428, 1.1072478294372559, 1.1065495014190674, 1.1058578491210938, 1.1051726341247559, 1.1044936180114746, 1.1038198471069336, 1.102729082107544, 1.1020689010620117, 1.1014137268066406, 1.1007635593414307, 1.10011887550354, 1.0994787216186523, 1.098844051361084, 1.098215103149414, 1.0975894927978516, 1.0969691276550293, 1.096353530883789, 1.0957419872283936, 1.09513521194458, 1.0945310592651367, 1.0939319133758545, 1.0933363437652588, 1.0927443504333496, 1.0921549797058105, 1.091569185256958, 1.0909850597381592, 1.0904035568237305, 1.0898244380950928, 1.089247465133667, 1.0886716842651367, 1.0880963802337646, 1.087522029876709, 1.0869476795196533, 1.086289644241333, 1.0857162475585938, 1.0851411819458008, 1.0845658779144287, 1.0839884281158447, 1.0834095478057861, 1.0828282833099365, 1.0822453498840332, 1.0816612243652344, 1.0808954238891602, 1.0803062915802002, 1.0797159671783447, 1.0791244506835938, 1.078531265258789, 1.0779361724853516, 1.0773415565490723, 1.0767457485198975, 1.0761501789093018, 1.075554609298706, 1.074960470199585, 1.074366807937622, 1.0736920833587646, 1.073101282119751, 1.0725135803222656, 1.0719282627105713, 1.0713462829589844, 1.070767879486084, 1.0701937675476074, 1.0696237087249756, 1.0687282085418701, 1.0681672096252441, 1.0676112174987793, 1.0670597553253174, 1.0665132999420166, 1.0659723281860352, 1.0654361248016357, 1.0649068355560303, 1.064382553100586, 1.0638625621795654, 1.0633504390716553, 1.0628435611724854, 1.0623407363891602, 1.0618445873260498, 1.0613536834716797, 1.0608675479888916, 1.0603868961334229, 1.059708833694458, 1.059236764907837, 1.0587682723999023, 1.058305025100708, 1.0578444004058838, 1.0573883056640625, 1.0569343566894531, 1.0564842224121094, 1.0560359954833984, 1.0555908679962158, 1.0551466941833496, 1.054704189300537, 1.054262399673462, 1.0538215637207031, 1.0533814430236816, 1.0530133247375488, 1.052570104598999, 1.0521271228790283, 1.0516834259033203, 1.051372766494751, 1.050926685333252, 1.050480604171753, 1.050032138824463, 1.0495831966400146, 1.0492181777954102, 1.048767328262329, 1.0483145713806152, 1.0502371788024902, 1.049705982208252, 1.0492136478424072, 1.0487182140350342, 1.048264503479004, 1.0477707386016846, 1.0472800731658936, 1.0468788146972656, 1.046752691268921, 1.0462744235992432, 1.0457990169525146, 1.0453264713287354, 1.0448577404022217, 1.0443930625915527, 1.0439324378967285, 1.04347562789917, 1.0430233478546143, 1.0425760746002197, 1.04213285446167, 1.041694164276123, 1.041259527206421, 1.0408284664154053, 1.0404019355773926, 1.0397119522094727, 1.0392944812774658, 1.0388808250427246, 1.0384712219238281, 1.038064956665039, 1.0376641750335693, 1.0372669696807861, 1.0368733406066895, 1.0364842414855957, 1.0360996723175049, 1.0357186794281006, 1.0352399349212646, 1.0348682403564453, 1.0345001220703125], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003059718292206526, -0.003550334367901087, -0.01683836802840233), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0025979848578572273, 0.015178127214312553, -0.008682760410010815), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.016991017386317253, -0.014580695889890194, 0.014566129073500633), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002412149216979742, -0.0017261095345020294, -0.014994211494922638), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.023687496781349182, 0.014563021250069141, 0.015441272407770157), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02628892846405506, -0.006978558376431465, 0.0012455907417461276), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001357696601189673, -0.004070281516760588, -0.01537953969091177), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002688812557607889, -0.0011242055334150791, -0.012509052641689777), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009843827225267887, -0.004686606582254171, -0.01411594357341528), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.027757877483963966, 0.14743320643901825, 0.03325491398572922), (0.04357561096549034, 0.02029537968337536, -0.039333220571279526)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=32, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4483046531677246, 2.4472429752349854, 23.078935623168945), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.030183693394064903, 4.880066394805908, 23.053573608398438), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3882527351379395, 7.336062908172607, 23.049238204956055), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.249686241149902, 2.469965934753418, 23.038785934448242), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8638129234313965, 4.874260902404785, 23.058399200439453), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4713419675827026, 7.327061653137207, 23.166452407836914), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.105230808258057, 2.4711408615112305, 23.045276641845703), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.67981481552124, 4.892390251159668, 23.072795867919922), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.296820163726807, 7.3331780433654785, 23.04864501953125), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.659590721130371, 0.1391073316335678, 25.158092498779297), (6.592833518981934, 0.03104996308684349, 25.443140029907227)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0010855197906494, energy_trajectory=[1.2147061824798584, 1.2070577144622803, 1.2021701335906982, 1.1972098350524902, 1.1925899982452393, 1.187852144241333, 1.183192253112793, 1.1786065101623535, 1.1740851402282715, 1.1696147918701172, 1.1652534008026123, 1.1609892845153809, 1.1567847728729248, 1.152662754058838, 1.1486232280731201, 1.144667148590088, 1.1407182216644287, 1.1369402408599854, 1.1332550048828125, 1.1296637058258057, 1.1260993480682373, 1.122816801071167, 1.1198804378509521, 1.1170964241027832, 1.1145260334014893, 1.1121466159820557, 1.1099402904510498, 1.1078929901123047, 1.1053466796875, 1.1035690307617188, 1.101912260055542, 1.1003670692443848, 1.0989251136779785, 1.0975756645202637, 1.0963134765625, 1.0951285362243652, 1.0938959121704102, 1.0928475856781006, 1.0918583869934082, 1.0909218788146973, 1.0900344848632812, 1.0891904830932617, 1.0883851051330566, 1.0876140594482422, 1.0868768692016602, 1.0861661434173584, 1.085479497909546, 1.0848157405853271, 1.0843393802642822, 1.0837106704711914, 1.0830953121185303, 1.0824947357177734, 1.0819289684295654, 1.0813508033752441, 1.080782175064087, 1.0802223682403564, 1.07966947555542, 1.0792815685272217, 1.078742265701294, 1.0781779289245605, 1.077652931213379, 1.0770347118377686, 1.0765225887298584, 1.0760178565979004, 1.0755195617675781, 1.075028657913208, 1.0745432376861572, 1.0740654468536377, 1.0735936164855957, 1.073129653930664, 1.0726730823516846, 1.0722217559814453, 1.071779489517212, 1.0713436603546143, 1.0709130764007568, 1.0704891681671143, 1.0700724124908447, 1.0696613788604736, 1.069256067276001, 1.0689406394958496, 1.0685451030731201, 1.0681536197662354, 1.067765235900879, 1.0673816204071045, 1.0669996738433838, 1.0666208267211914, 1.0662438869476318, 1.0658676624298096, 1.065492868423462, 1.0651161670684814, 1.064673900604248, 1.0642962455749512, 1.0639164447784424, 1.0626492500305176, 1.0622539520263672, 1.0618581771850586, 1.061460256576538, 1.0610604286193848, 1.0606575012207031, 1.0602531433105469, 1.059844970703125, 1.0594336986541748, 1.0590198040008545, 1.0586016178131104, 1.0581817626953125, 1.0577592849731445, 1.0573341846466064, 1.0569074153900146, 1.0564773082733154, 1.056046485900879, 1.0555212497711182, 1.0550873279571533, 1.054652214050293, 1.0542175769805908, 1.0537834167480469, 1.0533499717712402, 1.0529162883758545, 1.055284023284912, 1.0548675060272217, 1.0544509887695312, 1.0539817810058594, 1.053570032119751, 1.0531601905822754, 1.0527513027191162, 1.0523440837860107, 1.0519390106201172, 1.051534652709961, 1.051131010055542, 1.0524346828460693, 1.051971673965454, 1.051569938659668, 1.0511670112609863, 1.050762414932251, 1.0503573417663574, 1.0499510765075684, 1.0495433807373047, 1.0491349697113037, 1.0486035346984863, 1.04819655418396, 1.047788381576538, 1.0473802089691162, 1.0469715595245361, 1.0465633869171143, 1.0461556911468506, 1.0457484722137451, 1.0453424453735352, 1.044801950454712, 1.0443987846374512, 1.0439975261688232, 1.042936086654663, 1.042820692062378, 1.042351245880127, 1.0419683456420898, 1.041590929031372, 1.0412147045135498, 1.0408446788787842, 1.040477991104126, 1.0401153564453125, 1.0397570133209229, 1.0394032001495361, 1.0390536785125732, 1.0387086868286133, 1.0384933948516846, 1.0381584167480469, 1.037827491760254, 1.0375008583068848, 1.0371778011322021, 1.036858320236206, 1.0365431308746338, 1.0362298488616943, 1.0359203815460205, 1.0356144905090332, 1.0353114604949951, 1.0350100994110107, 1.034710168838501, 1.0344135761260986, 1.03411865234375, 1.0338246822357178, 1.033531904220581, 1.033240556716919, 1.0329504013061523, 1.0326600074768066, 1.0323708057403564, 1.0320823192596436, 1.0317940711975098, 1.0315070152282715, 1.0312185287475586, 1.030930995941162, 1.0306439399719238, 1.030358076095581, 1.0300710201263428, 1.0297870635986328, 1.02950119972229, 1.0292167663574219, 1.0289318561553955, 1.0286483764648438, 1.0283653736114502, 1.0267891883850098, 1.026494026184082, 1.0261998176574707, 1.0259060859680176, 1.0256128311157227, 1.0253210067749023, 1.0250270366668701, 1.0247337818145752, 1.0244405269622803, 1.0241484642028809, 1.023855209350586, 1.0235626697540283, 1.0232698917388916, 1.022977590560913, 1.0226848125457764, 1.0223915576934814, 1.0220990180969238, 1.0218055248260498, 1.0215115547180176, 1.0212182998657227, 1.0206563472747803, 1.0203626155853271, 1.020068645477295, 1.0197744369506836, 1.0194780826568604, 1.0191824436187744, 1.018885612487793, 1.0185887813568115, 1.0182926654815674, 1.0179946422576904, 1.0176968574523926, 1.0173773765563965, 1.0170788764953613, 1.016779899597168, 1.0163018703460693, 1.0160017013549805, 1.0157015323638916, 1.015401840209961, 1.0151023864746094, 1.0148026943206787, 1.0145039558410645, 1.014207124710083, 1.0139105319976807, 1.0136148929595947, 1.013322353363037, 1.0129599571228027, 1.0126683712005615, 1.012380599975586, 1.0120935440063477, 1.0118083953857422, 1.0114197731018066, 1.0111401081085205, 1.0108613967895508, 1.0105881690979004, 1.0103168487548828, 1.0100486278533936, 1.0097846984863281, 1.0095241069793701, 1.0092668533325195, 1.0089337825775146, 1.0086860656738281, 1.00844144821167, 1.00819993019104, 1.007962703704834, 1.0077283382415771, 1.007500171661377, 1.0072731971740723, 1.0070514678955078, 1.006833553314209, 1.0066184997558594, 1.006406545639038, 1.0061988830566406, 1.0059940814971924, 1.0057940483093262, 1.0055952072143555, 1.0054020881652832, 1.0052120685577393, 1.00502347946167, 1.0048396587371826, 1.0046570301055908, 1.0044803619384766, 1.0043044090270996, 1.004133701324463, 1.0041348934173584, 1.0039668083190918, 1.0038015842437744, 1.003638744354248, 1.003479242324829, 1.0031907558441162, 1.003035545349121, 1.002885341644287, 1.0027368068695068, 1.0025925636291504, 1.0024490356445312, 1.0023622512817383, 1.002030849456787, 1.0018892288208008, 1.0017542839050293, 1.001622200012207, 1.0014927387237549, 1.0013303756713867, 1.001206874847412, 1.0010855197906494], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013433768413960934, -0.002401703270152211, -0.031090276315808296), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0075391484424471855, -0.00010319246212020516, -0.020335255190730095), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0012171141570433974, -0.0022340770810842514, -0.02123984508216381), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01696017198264599, -0.025792760774493217, 0.010929601266980171), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011547517031431198, 0.011434917338192463, -0.023110689595341682), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04833010211586952, -0.008324256166815758, -0.10515177249908447), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.032222017645835876, -0.03360651805996895, -0.008384005166590214), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008957012556493282, -0.0036553817335516214, -0.02587420865893364), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05412345752120018, 0.005968604702502489, 0.0014358848566189408), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.058064933866262436, -0.04478037729859352, 0.003349211299791932), (-0.06747829914093018, -0.00012995647557545453, 0.04355400800704956)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=33, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4115005731582642, 2.405350923538208, 23.07479476928711), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.025385601446032524, 4.813055515289307, 23.0333251953125), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4268287420272827, 7.304403781890869, 23.056224822998047), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.235241413116455, 2.409590482711792, 23.059457778930664), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8502206802368164, 4.812220096588135, 23.03522491455078), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3988436460494995, 7.261699199676514, 23.149429321289062), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.05701208114624, 2.411238193511963, 23.056575775146484), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.64452600479126, 4.853445529937744, 23.06947898864746), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.258207321166992, 7.306495666503906, 23.043121337890625), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.5240296125411987, 6.760105609893799, 25.090742111206055), (0.6223866939544678, 6.485867023468018, 25.36689567565918)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0577025413513184, energy_trajectory=[1.4833838939666748, 1.4777038097381592, 1.4718825817108154, 1.466111660003662, 1.4603168964385986, 1.4545950889587402, 1.4489786624908447, 1.4433727264404297, 1.4381115436553955, 1.4327714443206787, 1.4275891780853271, 1.422631025314331, 1.4178786277770996, 1.413313627243042, 1.4089207649230957, 1.4047198295593262, 1.4006328582763672, 1.3969388008117676, 1.3930089473724365, 1.3893072605133057, 1.3857204914093018, 1.3824713230133057, 1.379103183746338, 1.3758370876312256, 1.3726730346679688, 1.369605541229248, 1.3666319847106934, 1.3637490272521973, 1.3608686923980713, 1.358149766921997, 1.3555097579956055, 1.3529465198516846, 1.3501372337341309, 1.3477115631103516, 1.34523606300354, 1.34293794631958, 1.3407161235809326, 1.3385310173034668, 1.3363971710205078, 1.3343119621276855, 1.3322746753692627, 1.3302805423736572, 1.3281943798065186, 1.3262195587158203, 1.3243436813354492, 1.3225009441375732, 1.3206889629364014, 1.3189091682434082, 1.3171570301055908, 1.3151977062225342, 1.313495397567749, 1.3118157386779785, 1.310157060623169, 1.3085181713104248, 1.3068978786468506, 1.3052935600280762, 1.3037054538726807, 1.302070140838623, 1.3003730773925781, 1.2988262176513672, 1.297290563583374, 1.2958879470825195, 1.2943720817565918, 1.2928643226623535, 1.2914419174194336, 1.2898149490356445, 1.2883288860321045, 1.286849021911621, 1.2853755950927734, 1.2839064598083496, 1.2824428081512451, 1.2810370922088623, 1.2795839309692383, 1.278134822845459, 1.27669095993042, 1.2752506732940674, 1.2738158702850342, 1.2723851203918457, 1.2709579467773438, 1.2695362567901611, 1.2681186199188232, 1.266704797744751, 1.2652966976165771, 1.2638907432556152, 1.2624924182891846, 1.261063814163208, 1.259674072265625, 1.2582883834838867, 1.2569081783294678, 1.25553297996521, 1.2541635036468506, 1.2527990341186523, 1.2514398097991943, 1.2500851154327393, 1.2487359046936035, 1.2473907470703125, 1.2460522651672363, 1.244718074798584, 1.2433891296386719, 1.2420647144317627, 1.2406423091888428, 1.2393276691436768, 1.2380180358886719, 1.236713171005249, 1.2354137897491455, 1.234119176864624, 1.2331030368804932, 1.231968879699707, 1.2306885719299316, 1.2294135093688965, 1.2281427383422852, 1.2268767356872559, 1.2256152629852295, 1.2243592739105225, 1.2231075763702393, 1.2218608856201172, 1.2206189632415771, 1.2193822860717773, 1.2181506156921387, 1.2169225215911865, 1.215688705444336, 1.214470624923706, 1.2132563591003418, 1.2120466232299805, 1.2108418941497803, 1.209639549255371, 1.2084434032440186, 1.2072491645812988, 1.2060589790344238, 1.2049150466918945, 1.2037301063537598, 1.2025487422943115, 1.201369285583496, 1.2001924514770508, 1.1990180015563965, 1.1977949142456055, 1.1966254711151123, 1.1957356929779053, 1.1945734024047852, 1.193413257598877, 1.1922557353973389, 1.1911005973815918, 1.1894679069519043, 1.18831467628479, 1.1871628761291504, 1.1860146522521973, 1.184870719909668, 1.183730125427246, 1.1825933456420898, 1.1814603805541992, 1.180332899093628, 1.1792097091674805, 1.178091049194336, 1.1769790649414062, 1.1758716106414795, 1.174769401550293, 1.1736736297607422, 1.1725826263427734, 1.1714975833892822, 1.170419454574585, 1.1693460941314697, 1.1682007312774658, 1.1671383380889893, 1.1660819053649902, 1.1650316715240479, 1.1639857292175293, 1.1629457473754883, 1.1619102954864502, 1.1608796119689941, 1.1597859859466553, 1.1587655544281006, 1.157747745513916, 1.1567351818084717, 1.1557247638702393, 1.1547181606292725, 1.1537158489227295, 1.1527149677276611, 1.1517183780670166, 1.1507244110107422, 1.1497323513031006, 1.1486554145812988, 1.1476681232452393, 1.146683692932129, 1.1457016468048096, 1.1447222232818604, 1.1437451839447021, 1.1427693367004395, 1.1417975425720215, 1.1408264636993408, 1.1398594379425049, 1.1388940811157227, 1.1379318237304688, 1.136972188949585, 1.1360154151916504, 1.1350610256195068, 1.1365203857421875, 1.135589361190796, 1.1346607208251953, 1.1337332725524902, 1.1328082084655762, 1.1318860054016113, 1.1309654712677002, 1.130049467086792, 1.129133701324463, 1.1282203197479248, 1.1273095607757568, 1.1264004707336426, 1.1254949569702148, 1.1245899200439453, 1.1236872673034668, 1.1227877140045166, 1.121889352798462, 1.1209936141967773, 1.1201014518737793, 1.1192092895507812, 1.1183223724365234, 1.1174373626708984, 1.1165542602539062, 1.1156752109527588, 1.114980936050415, 1.1141068935394287, 1.1132359504699707, 1.1123685836791992, 1.1115057468414307, 1.110647439956665, 1.1097934246063232, 1.1089439392089844, 1.1081008911132812, 1.1072590351104736, 1.1064233779907227, 1.105593204498291, 1.105029821395874, 1.1040935516357422, 1.103133201599121, 1.1023998260498047, 1.1009769439697266, 1.1001737117767334, 1.099170446395874, 1.098376989364624, 1.0975892543792725, 1.0968046188354492, 1.0960237979888916, 1.0952482223510742, 1.094475269317627, 1.0937080383300781, 1.092942476272583, 1.092181921005249, 1.0914254188537598, 1.0906720161437988, 1.0899224281311035, 1.0891764163970947, 1.088432788848877, 1.0876953601837158, 1.086958885192871, 1.0862245559692383, 1.0854954719543457, 1.0847711563110352, 1.0840470790863037, 1.0835635662078857, 1.0828473567962646, 1.0821139812469482, 1.0810563564300537, 1.0803501605987549, 1.079648733139038, 1.078951358795166, 1.0782556533813477, 1.0775654315948486, 1.0784432888031006, 1.0777275562286377, 1.077014684677124, 1.0763046741485596, 1.0755994319915771, 1.0748975276947021, 1.0742015838623047, 1.0735094547271729, 1.0725512504577637, 1.071868896484375, 1.0711920261383057, 1.0705218315124512, 1.0698566436767578, 1.0691981315612793, 1.068544864654541, 1.0678973197937012, 1.0672550201416016, 1.0666193962097168, 1.0659892559051514, 1.0654535293579102, 1.0648365020751953, 1.064225196838379, 1.0636184215545654, 1.0630178451538086, 1.0624208450317383, 1.0618290901184082, 1.0612421035766602, 1.0606589317321777, 1.05997633934021, 1.0594019889831543, 1.0588314533233643, 1.0582654476165771, 1.0577025413513184], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0021438852418214083, 0.002661491511389613, -0.013888121582567692), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01862298883497715, 0.024906324222683907, 0.004281571134924889), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012630159966647625, -0.018868325278162956, -0.013197295367717743), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00017132979701273143, -0.013371373526751995, -0.017289021983742714), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05137300491333008, 0.04290767386555672, 0.03069262020289898), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010676085017621517, -0.00821219477802515, -0.021940451115369797), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005398408509790897, -0.012597654014825821, -0.015755929052829742), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0026328193489462137, -0.008276971988379955, -0.014759965240955353), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02218998409807682, -0.01798778958618641, -0.011727950535714626), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001129518961533904, 0.19589067995548248, 0.05754859000444412), (0.0400489903986454, 0.04933452606201172, -0.011299341917037964)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=34, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4345371723175049, 2.4538400173187256, 23.074932098388672), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.013223244808614254, 4.88361120223999, 23.052574157714844), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3872627019882202, 7.338906764984131, 23.060932159423828), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.245441436767578, 2.4570119380950928, 23.062421798706055), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8512120246887207, 4.854135513305664, 23.02557945251465), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.448259949684143, 7.347818374633789, 23.131732940673828), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.084864139556885, 2.483712911605835, 23.037683486938477), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.666173458099365, 4.893981456756592, 23.06688117980957), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.302412509918213, 7.347535610198975, 23.034587860107422), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (6.275022983551025, -0.14276888966560364, 25.050634384155273), (5.83583927154541, 0.5634421706199646, 25.567296981811523)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0797843933105469, energy_trajectory=[1.8027491569519043, 1.7968530654907227, 1.7902328968048096, 1.7837672233581543, 1.7777109146118164, 1.7715487480163574, 1.7655224800109863, 1.759408712387085, 1.753859043121338, 1.7481164932250977, 1.7431275844573975, 1.7375092506408691, 1.7319397926330566, 1.7261154651641846, 1.7206242084503174, 1.715162992477417, 1.7096738815307617, 1.7042701244354248, 1.6988909244537354, 1.6935334205627441, 1.6882002353668213, 1.6828927993774414, 1.677609920501709, 1.6723806858062744, 1.6671466827392578, 1.6619422435760498, 1.6567680835723877, 1.6516215801239014, 1.6465070247650146, 1.6414244174957275, 1.6363763809204102, 1.6313591003417969, 1.6263744831085205, 1.6214268207550049, 1.6165103912353516, 1.6122276782989502, 1.6073801517486572, 1.6025643348693848, 1.597785472869873, 1.5930416584014893, 1.588334083557129, 1.5836610794067383, 1.579024076461792, 1.574425220489502, 1.5698633193969727, 1.5651938915252686, 1.5607025623321533, 1.5562427043914795, 1.5518171787261963, 1.5474286079406738, 1.5430731773376465, 1.5385351181030273, 1.534294605255127, 1.5300586223602295, 1.5257127285003662, 1.5215246677398682, 1.5173673629760742, 1.5132420063018799, 1.5091478824615479, 1.5050833225250244, 1.5010466575622559, 1.4971418380737305, 1.4931640625, 1.4892115592956543, 1.4852876663208008, 1.4813904762268066, 1.4775183200836182, 1.4736719131469727, 1.4698522090911865, 1.4660582542419434, 1.4622876644134521, 1.458540916442871, 1.4548194408416748, 1.4507880210876465, 1.4471166133880615, 1.4434711933135986, 1.4398479461669922, 1.4362475872039795, 1.4326694011688232, 1.4291150569915771, 1.4255802631378174, 1.422067642211914, 1.4185786247253418, 1.4151108264923096, 1.4116668701171875, 1.408240795135498, 1.4048376083374023, 1.40155029296875, 1.3982009887695312, 1.394895315170288, 1.3916370868682861, 1.388585090637207, 1.3854162693023682, 1.3822903633117676, 1.379411220550537, 1.3763737678527832, 1.373375654220581, 1.3704159259796143, 1.3675448894500732, 1.36466383934021, 1.3618192672729492, 1.3590123653411865, 1.3562424182891846, 1.3535075187683105, 1.3508076667785645, 1.3481407165527344, 1.3455069065093994, 1.342820167541504, 1.3402554988861084, 1.3377220630645752, 1.335644006729126, 1.33316969871521, 1.330723762512207, 1.328305959701538, 1.325916051864624, 1.3235526084899902, 1.321216106414795, 1.3189036846160889, 1.3166167736053467, 1.3143529891967773, 1.3121116161346436, 1.30989408493042, 1.30769681930542, 1.3055202960968018, 1.3033630847930908, 1.3012254238128662, 1.2991065979003906, 1.2972230911254883, 1.295137882232666, 1.293069839477539, 1.2910168170928955, 1.288402795791626, 1.2864184379577637, 1.2844064235687256, 1.2824082374572754, 1.2804243564605713, 1.2784523963928223, 1.2764925956726074, 1.2745449542999268, 1.2726085186004639, 1.2706842422485352, 1.2687711715698242, 1.2668688297271729, 1.2649788856506348, 1.2622344493865967, 1.2604031562805176, 1.2585482597351074, 1.2567057609558105, 1.2548749446868896, 1.253054141998291, 1.2512452602386475, 1.2493672370910645, 1.2475810050964355, 1.245807409286499, 1.2438926696777344, 1.2421414852142334, 1.2402970790863037, 1.238572597503662, 1.2368590831756592, 1.2351579666137695, 1.233468770980835, 1.2317917346954346, 1.2301268577575684, 1.2284746170043945, 1.2268335819244385, 1.2252044677734375, 1.223588466644287, 1.2219841480255127, 1.2203917503356934, 1.2188124656677246, 1.2172434329986572, 1.215688705444336, 1.2141451835632324, 1.212613821029663, 1.2110953330993652, 1.209587812423706, 1.208092451095581, 1.2066094875335693, 1.2051374912261963, 1.203679084777832, 1.2018013000488281, 1.2003662586212158, 1.1989431381225586, 1.1975328922271729, 1.1961314678192139, 1.1949975490570068, 1.193734884262085, 1.1921203136444092, 1.1907641887664795, 1.1895663738250732, 1.1882317066192627, 1.1869072914123535, 1.185591459274292, 1.1842851638793945, 1.182990312576294, 1.1817612648010254, 1.180483341217041, 1.1792147159576416, 1.1779842376708984, 1.1767356395721436, 1.1754951477050781, 1.1742644309997559, 1.1730403900146484, 1.1718270778656006, 1.1706228256225586, 1.1694247722625732, 1.168236494064331, 1.1670551300048828, 1.1659588813781738, 1.1647956371307373, 1.1636409759521484, 1.1624932289123535, 1.1613526344299316, 1.1602201461791992, 1.159095287322998, 1.1579780578613281, 1.1568670272827148, 1.1557631492614746, 1.1546673774719238, 1.1534669399261475, 1.1523845195770264, 1.1513071060180664, 1.150235891342163, 1.1491708755493164, 1.148111343383789, 1.1470575332641602, 1.1460096836090088, 1.1449658870697021, 1.1420397758483887, 1.1409966945648193, 1.1399598121643066, 1.1389267444610596, 1.1378979682922363, 1.1368732452392578, 1.1358520984649658, 1.1348352432250977, 1.1338050365447998, 1.1327931880950928, 1.1317839622497559, 1.1307802200317383, 1.129777431488037, 1.1287801265716553, 1.12778639793396, 1.1267948150634766, 1.1258084774017334, 1.1248245239257812, 1.123845100402832, 1.1228690147399902, 1.1218969821929932, 1.1209290027618408, 1.1199660301208496, 1.1190071105957031, 1.1180524826049805, 1.117119312286377, 1.1161766052246094, 1.115238904953003, 1.1143074035644531, 1.1133787631988525, 1.112457513809204, 1.1115407943725586, 1.1106288433074951, 1.10972261428833, 1.1088225841522217, 1.1079277992248535, 1.107039451599121, 1.1066267490386963, 1.1057512760162354, 1.104882001876831, 1.1040170192718506, 1.103158712387085, 1.1023054122924805, 1.1014583110809326, 1.1006183624267578, 1.0997841358184814, 1.0989558696746826, 1.0981340408325195, 1.0969741344451904, 1.0961642265319824, 1.095360517501831, 1.0945630073547363, 1.0937702655792236, 1.0929954051971436, 1.0922157764434814, 1.0911211967468262, 1.0903522968292236, 1.0895905494689941, 1.0888335704803467, 1.0880837440490723, 1.0873382091522217, 1.0865983963012695, 1.0858638286590576, 1.0851342678070068, 1.0844087600708008, 1.083688735961914, 1.0829715728759766, 1.0826752185821533, 1.0819649696350098, 1.0812585353851318, 1.0804855823516846, 1.0797843933105469], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0013675488298758864, -0.007164387498050928, -0.0075323558412492275), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0096565717831254, 0.0041802674531936646, -0.011984959244728088), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010405161418020725, 0.00035303030745126307, -0.01068789791315794), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013513456098735332, -0.0074761095456779, -0.009361913427710533), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005338187795132399, 0.024773959070444107, 0.009504975751042366), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01875825598835945, -0.005315665155649185, 0.04118854179978371), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002134115668013692, -0.02894301526248455, 0.01386209949851036), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0020522840786725283, 0.0011971713975071907, -0.009045020677149296), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.039554402232170105, -0.009384403936564922, 0.018338512629270554), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.189670592546463, -0.031150059774518013, 0.07459666579961777), (-0.03998275473713875, 0.10020702332258224, -0.03261507302522659)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=35, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4562853574752808, 2.445336103439331, 23.04607391357422), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.019188934937119484, 4.913349628448486, 23.03670883178711), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4001502990722656, 7.325396537780762, 23.070091247558594), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.230947971343994, 2.440702199935913, 23.060598373413086), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8264827728271484, 4.880218982696533, 23.081762313842773), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4122182130813599, 7.315171718597412, 23.058223724365234), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.058432579040527, 2.445570468902588, 23.157899856567383), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.6399030685424805, 4.890497207641602, 23.059720993041992), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.249499797821045, 7.283664703369141, 23.027271270751953), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-0.9713680744171143, 2.4661824703216553, 25.11396598815918), (-0.8277387619018555, 1.5301611423492432, 25.376991271972656)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0354654788970947, energy_trajectory=[1.3475983142852783, 1.3382906913757324, 1.3293097019195557, 1.3220016956329346, 1.3151094913482666, 1.308487892150879, 1.302072286605835, 1.2958073616027832, 1.2897083759307861, 1.2838807106018066, 1.278055191040039, 1.272376298904419, 1.2666962146759033, 1.2616856098175049, 1.2563908100128174, 1.2511928081512451, 1.2461442947387695, 1.2412586212158203, 1.2366459369659424, 1.232292652130127, 1.2281875610351562, 1.2243192195892334, 1.2206776142120361, 1.2172529697418213, 1.2140369415283203, 1.211019515991211, 1.2081899642944336, 1.2055389881134033, 1.2030560970306396, 1.2006676197052002, 1.1982529163360596, 1.196216106414795, 1.1943039894104004, 1.1925075054168701, 1.1908178329467773, 1.1892244815826416, 1.1877202987670898, 1.186295747756958, 1.1849429607391357, 1.1836552619934082, 1.1824955940246582, 1.1813199520111084, 1.1801915168762207, 1.179103136062622, 1.1780507564544678, 1.177030086517334, 1.1760375499725342, 1.17507004737854, 1.1741254329681396, 1.1732001304626465, 1.1730329990386963, 1.1721642017364502, 1.1713080406188965, 1.1702427864074707, 1.169497013092041, 1.1686768531799316, 1.1678681373596191, 1.1670687198638916, 1.1662800312042236, 1.1655004024505615, 1.1647310256958008, 1.1639704704284668, 1.1632187366485596, 1.1624763011932373, 1.1617424488067627, 1.1610171794891357, 1.1603004932403564, 1.159590482711792, 1.1591529846191406, 1.158461093902588, 1.15777587890625, 1.1570987701416016, 1.1564278602600098, 1.1557631492614746, 1.1552858352661133, 1.1546332836151123, 1.1539862155914307, 1.1533441543579102, 1.1527066230773926, 1.1520743370056152, 1.1514461040496826, 1.1508214473724365, 1.150200366973877, 1.1495826244354248, 1.14896821975708, 1.1483569145202637, 1.1477482318878174, 1.1471421718597412, 1.1465389728546143, 1.1459386348724365, 1.1453402042388916, 1.1447436809539795, 1.1441500186920166, 1.1435582637786865, 1.1429698467254639, 1.1423816680908203, 1.141796588897705, 1.1412124633789062, 1.1406314373016357, 1.1400506496429443, 1.1394727230072021, 1.1388962268829346, 1.1383209228515625, 1.1377463340759277, 1.1371715068817139, 1.136598825454712, 1.1360256671905518, 1.135453701019287, 1.1348824501037598, 1.134312391281128, 1.1337428092956543, 1.1331727504730225, 1.1326043605804443, 1.1320347785949707, 1.1314656734466553, 1.1309864521026611, 1.130420446395874, 1.1298530101776123, 1.1292839050292969, 1.1287147998809814, 1.128145456314087, 1.127575159072876, 1.1270041465759277, 1.1264348030090332, 1.1258625984191895, 1.1252915859222412, 1.1247196197509766, 1.1241462230682373, 1.123671293258667, 1.123095989227295, 1.1225216388702393, 1.1219463348388672, 1.121370553970337, 1.1207942962646484, 1.1202175617218018, 1.1196401119232178, 1.119060754776001, 1.1184821128845215, 1.11790132522583, 1.1173195838928223, 1.1167378425598145, 1.1161537170410156, 1.1155686378479004, 1.1149826049804688, 1.1143949031829834, 1.1138036251068115, 1.11326265335083, 1.1126675605773926, 1.1120693683624268, 1.1114697456359863, 1.1108670234680176, 1.1102619171142578, 1.109654188156128, 1.1089115142822266, 1.1082985401153564, 1.1076841354370117, 1.1070659160614014, 1.1064453125, 1.1058220863342285, 1.105196475982666, 1.1045684814453125, 1.1039392948150635, 1.1033077239990234, 1.102674961090088, 1.1020398139953613, 1.1014044284820557, 1.100768804550171, 1.1001322269439697, 1.0994951725006104, 1.0988597869873047, 1.0982236862182617, 1.0975897312164307, 1.0969562530517578, 1.0963234901428223, 1.0956943035125732, 1.0950665473937988, 1.0944416522979736, 1.0938189029693604, 1.0932002067565918, 1.0925838947296143, 1.0919713973999023, 1.0913615226745605, 1.0907564163208008, 1.0901553630828857, 1.0896475315093994, 1.0890557765960693, 1.088289499282837, 1.0877089500427246, 1.0873894691467285, 1.0868182182312012, 1.0862500667572021, 1.0856852531433105, 1.085125207901001, 1.0845704078674316, 1.0840182304382324, 1.083470106124878, 1.08292555809021, 1.0823845863342285, 1.0818474292755127, 1.0812160968780518, 1.0806872844696045, 1.0801608562469482, 1.0796363353729248, 1.0791151523590088, 1.0785963535308838, 1.0780799388885498, 1.0775644779205322, 1.0771713256835938, 1.0766515731811523, 1.0761404037475586, 1.0756304264068604, 1.075120210647583, 1.0746114253997803, 1.074103593826294, 1.073596715927124, 1.073089361190796, 1.072582721710205, 1.0720767974853516, 1.0715699195861816, 1.0710630416870117, 1.0705573558807373, 1.0700480937957764, 1.0695414543151855, 1.06905198097229, 1.0685408115386963, 1.0680291652679443, 1.0675170421600342, 1.0670030117034912, 1.0664892196655273, 1.0659749507904053, 1.0676078796386719, 1.067087173461914, 1.0665645599365234, 1.0660440921783447, 1.0655231475830078, 1.0650019645690918, 1.0644819736480713, 1.0639634132385254, 1.0634441375732422, 1.0629258155822754, 1.0624074935913086, 1.0618910789489746, 1.0613741874694824, 1.0608575344085693, 1.0603420734405518, 1.059826135635376, 1.059312105178833, 1.0587968826293945, 1.0582818984985352, 1.0577688217163086, 1.0567429065704346, 1.0562255382537842, 1.055711030960083, 1.055199384689331, 1.054687261581421, 1.0564985275268555, 1.0559790134429932, 1.0554566383361816, 1.0549347400665283, 1.054455280303955, 1.053931474685669, 1.053408145904541, 1.0528826713562012, 1.0523583889007568, 1.0518336296081543, 1.0513079166412354, 1.0507802963256836, 1.0502562522888184, 1.049612045288086, 1.0490915775299072, 1.0485715866088867, 1.048053503036499, 1.0475373268127441, 1.0470237731933594, 1.046722173690796, 1.046215295791626, 1.0457122325897217, 1.0445983409881592, 1.0441093444824219, 1.0436255931854248, 1.0432329177856445, 1.0427594184875488, 1.042292833328247, 1.041830062866211, 1.0413756370544434, 1.0409274101257324, 1.0404846668243408, 1.0400500297546387, 1.0396225452423096, 1.0391998291015625, 1.0387852191925049, 1.0383760929107666, 1.037975549697876, 1.0375804901123047, 1.0371925830841064, 1.0369350910186768, 1.0365605354309082, 1.0361907482147217, 1.0358257293701172, 1.0354654788970947], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.043383192270994186, -0.014279108494520187, -0.019199639558792114), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0004670594644267112, -0.03275245428085327, 0.004468958359211683), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002399897202849388, 0.007116373628377914, -0.02615596167743206), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.018842685967683792, 0.002140776487067342, -0.029754746705293655), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010461133904755116, 0.006239777430891991, -0.043176937848329544), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01833624392747879, 0.021237151697278023, -0.023505762219429016), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.05681923031806946, -0.020404087379574776, -0.0678785890340805), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013209289871156216, -0.0037335853558033705, -0.0356009416282177), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0176999531686306, 0.10468222945928574, 0.04907199367880821), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.10875643044710159, -0.05130228027701378, 0.0534803569316864), (-0.05061505734920502, 0.08072077482938766, -0.015707705169916153)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=36, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4911283254623413, 2.4097061157226562, 23.017963409423828), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.10304407775402069, 4.910439968109131, 23.088640213012695), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3891087770462036, 7.330963134765625, 23.06639862060547), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.254404067993164, 2.4463117122650146, 23.067975997924805), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8569538593292236, 4.894131660461426, 23.08213996887207), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.432064414024353, 7.341947555541992, 23.06109046936035), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.092088222503662, 2.3919098377227783, 23.10686492919922), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.5781474113464355, 4.938511848449707, 22.99848175048828), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.255100250244141, 7.327206134796143, 23.084396362304688), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-0.7004786729812622, 3.727647304534912, 24.716724395751953), (-1.4844584465026855, 4.241222858428955, 25.0233097076416)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.088942289352417, energy_trajectory=[1.7841975688934326, 1.773637056350708, 1.7648072242736816, 1.7563307285308838, 1.7484102249145508, 1.740924596786499, 1.733703851699829, 1.726891040802002, 1.7201738357543945, 1.713592529296875, 1.7072222232818604, 1.700986385345459, 1.6948626041412354, 1.6888432502746582, 1.6829195022583008, 1.67740797996521, 1.6716737747192383, 1.6660304069519043, 1.6604323387145996, 1.6548981666564941, 1.649423599243164, 1.64400315284729, 1.638634443283081, 1.6333138942718506, 1.627652645111084, 1.6223928928375244, 1.6171762943267822, 1.6120004653930664, 1.6068639755249023, 1.6019506454467773, 1.5968878269195557, 1.5918605327606201, 1.586867332458496, 1.5819098949432373, 1.576981782913208, 1.5721261501312256, 1.5674011707305908, 1.5625648498535156, 1.5577597618103027, 1.5527753829956055, 1.5485687255859375, 1.543839693069458, 1.5391361713409424, 1.5344593524932861, 1.529808521270752, 1.525181770324707, 1.5204551219940186, 1.5158748626708984, 1.5115151405334473, 1.5071661472320557, 1.5026655197143555, 1.4982240200042725, 1.4935424327850342, 1.4891133308410645, 1.484710693359375, 1.4802453517913818, 1.4758946895599365, 1.471567153930664, 1.4672648906707764, 1.4629907608032227, 1.4587440490722656, 1.4545249938964844, 1.4501543045043945, 1.4459948539733887, 1.4418659210205078, 1.4377665519714355, 1.4336979389190674, 1.4296610355377197, 1.4256553649902344, 1.421992540359497, 1.4180562496185303, 1.414151668548584, 1.4102816581726074, 1.406445026397705, 1.4029104709625244, 1.3991448879241943, 1.3954143524169922, 1.391719102859497, 1.3880600929260254, 1.384437084197998, 1.3808503150939941, 1.3772988319396973, 1.3737845420837402, 1.3703076839447021, 1.3668668270111084, 1.363464593887329, 1.3600997924804688, 1.35677170753479, 1.3534815311431885, 1.3501396179199219, 1.346926212310791, 1.3437399864196777, 1.3406028747558594, 1.3375048637390137, 1.3343019485473633, 1.3312807083129883, 1.3282978534698486, 1.3252527713775635, 1.3223445415496826, 1.3194749355316162, 1.3166420459747314, 1.3138468265533447, 1.311086893081665, 1.308361530303955, 1.3056721687316895, 1.3030178546905518, 1.3003993034362793, 1.2978150844573975, 1.2952666282653809, 1.2927517890930176, 1.290271520614624, 1.2878239154815674, 1.285522699356079, 1.2831425666809082, 1.280794382095337, 1.2784781455993652, 1.2761938571929932, 1.2739408016204834, 1.2717175483703613, 1.2695260047912598, 1.2673635482788086, 1.2652311325073242, 1.2631278038024902, 1.2610540390014648, 1.2590079307556152, 1.2569911479949951, 1.2550015449523926, 1.2529325485229492, 1.2509958744049072, 1.249086856842041, 1.2472031116485596, 1.2453463077545166, 1.2434754371643066, 1.2416698932647705, 1.2398874759674072, 1.2381291389465332, 1.2363953590393066, 1.2346844673156738, 1.2329976558685303, 1.2313323020935059, 1.2296900749206543, 1.2280693054199219, 1.2264683246612549, 1.2248890399932861, 1.2233302593231201, 1.2217903137207031, 1.220271110534668, 1.2187695503234863, 1.217287302017212, 1.215822696685791, 1.2143759727478027, 1.2126355171203613, 1.2112236022949219, 1.2099664211273193, 1.2091140747070312, 1.2077531814575195, 1.2064085006713867, 1.2050790786743164, 1.2037646770477295, 1.2024650573730469, 1.2011783123016357, 1.1999061107635498, 1.1986472606658936, 1.197402000427246, 1.1953954696655273, 1.1943295001983643, 1.1931211948394775, 1.191922903060913, 1.1907355785369873, 1.189561367034912, 1.1883971691131592, 1.187244176864624, 1.1861021518707275, 1.1849701404571533, 1.1830942630767822, 1.1819825172424316, 1.1808807849884033, 1.1797878742218018, 1.1787049770355225, 1.1776318550109863, 1.1765673160552979, 1.1755127906799316, 1.1744663715362549, 1.1734304428100586, 1.1724023818969727, 1.1713840961456299, 1.1703739166259766, 1.1694111824035645, 1.16829514503479, 1.1667332649230957, 1.165769100189209, 1.164541244506836, 1.1635918617248535, 1.1626520156860352, 1.1617205142974854, 1.1607985496520996, 1.1598844528198242, 1.1591029167175293, 1.1579322814941406, 1.157043218612671, 1.1565124988555908, 1.1558992862701416, 1.1550343036651611, 1.1541786193847656, 1.1532340049743652, 1.1523933410644531, 1.1513540744781494, 1.1505296230316162, 1.1497118473052979, 1.148766040802002, 1.1479616165161133, 1.1471633911132812, 1.146371841430664, 1.1455860137939453, 1.1446893215179443, 1.1439166069030762, 1.14314866065979, 1.1423840522766113, 1.141624927520752, 1.1409885883331299, 1.1402349472045898, 1.1394846439361572, 1.1387379169464111, 1.1379950046539307, 1.1372568607330322, 1.136521816253662, 1.1357829570770264, 1.135108232498169, 1.1343798637390137, 1.1336548328399658, 1.1329326629638672, 1.1322131156921387, 1.1314949989318848, 1.1308045387268066, 1.1300899982452393, 1.1293776035308838, 1.1286673545837402, 1.1279585361480713, 1.127251148223877, 1.1265456676483154, 1.125849962234497, 1.1251471042633057, 1.1244471073150635, 1.1237478256225586, 1.1230499744415283, 1.1223530769348145, 1.121657133102417, 1.1209626197814941, 1.120269775390625, 1.1195788383483887, 1.1188890933990479, 1.1182022094726562, 1.117516040802002, 1.1169960498809814, 1.116344928741455, 1.1156630516052246, 1.1149837970733643, 1.1142933368682861, 1.1136186122894287, 1.1129465103149414, 1.1122760772705078, 1.111429214477539, 1.110764741897583, 1.110102891921997, 1.109445333480835, 1.108790636062622, 1.108139991760254, 1.1074929237365723, 1.1068487167358398, 1.1062076091766357, 1.1054563522338867, 1.104823350906372, 1.1045336723327637, 1.1039059162139893, 1.1032812595367432, 1.1026620864868164, 1.1018195152282715, 1.1012089252471924, 1.1006019115447998, 1.0997896194458008, 1.0991909503936768, 1.0985987186431885, 1.098010778427124, 1.0974276065826416, 1.0967752933502197, 1.096203088760376, 1.0958094596862793, 1.095247745513916, 1.0946924686431885, 1.0941424369812012, 1.093597412109375, 1.093057632446289, 1.0925233364105225, 1.0919957160949707, 1.0914726257324219, 1.0909557342529297, 1.0904440879821777, 1.0899379253387451, 1.089437484741211, 1.088942289352417], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02012443356215954, -0.013883770443499088, -0.001474571879953146), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007745703216642141, -0.034373100847005844, -0.01863132044672966), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02696244791150093, -0.022961869835853577, -0.006046269554644823), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.026932790875434875, -0.015019786544144154, -0.008060423657298088), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.026117589324712753, -0.01696913316845894, -0.01132994331419468), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.020533300936222076, -0.02336897887289524, -0.010639009065926075), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.023678386583924294, -0.010771946050226688, -0.027517903596162796), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.05909951776266098, -0.03304900974035263, 0.017605045810341835), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.026932548731565475, -0.021367982029914856, -0.01420690305531025), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0010601530084386468, 0.0448179692029953, -0.0025777786504477262), (-0.01378993596881628, -0.08981025964021683, 0.057204972952604294)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=37, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.364387035369873, 2.412693500518799, 23.03960418701172), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.005405828356742859, 4.865059852600098, 23.079689025878906), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.42178475856781, 7.29676628112793, 23.06915283203125), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.194728851318359, 2.394508123397827, 23.13801383972168), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.787407636642456, 4.894759654998779, 23.054248809814453), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4034899473190308, 7.307465076446533, 23.059900283813477), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.056766510009766, 2.424704074859619, 23.052762985229492), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.6772589683532715, 4.8986968994140625, 23.01511001586914), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.222141265869141, 7.312551498413086, 23.064252853393555), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (3.997256278991699, 3.2055628299713135, 24.990976333618164), (3.1497018337249756, 2.886070728302002, 25.369335174560547)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.1043117046356201, energy_trajectory=[1.435368299484253, 1.4276800155639648, 1.4217414855957031, 1.4153985977172852, 1.40975022315979, 1.403609275817871, 1.3974881172180176, 1.3909697532653809, 1.3849129676818848, 1.378976583480835, 1.3728933334350586, 1.3669488430023193, 1.3610448837280273, 1.355116367340088, 1.3492977619171143, 1.3435609340667725, 1.3380863666534424, 1.3330309391021729, 1.328026294708252, 1.3232324123382568, 1.3186371326446533, 1.3142294883728027, 1.3099982738494873, 1.305934190750122, 1.3020267486572266, 1.2981798648834229, 1.2945647239685059, 1.2910850048065186, 1.2880213260650635, 1.2848000526428223, 1.2816977500915527, 1.2787096500396729, 1.275831699371338, 1.273059368133545, 1.2703897953033447, 1.2676966190338135, 1.2652175426483154, 1.2628300189971924, 1.2605304718017578, 1.258317232131958, 1.2561850547790527, 1.25413179397583, 1.2521543502807617, 1.250251054763794, 1.2484190464019775, 1.246654748916626, 1.244957685470581, 1.2433249950408936, 1.2417523860931396, 1.2402398586273193, 1.2383482456207275, 1.2369489669799805, 1.2356021404266357, 1.2343051433563232, 1.2330570220947266, 1.2318546772003174, 1.2306969165802002, 1.2295799255371094, 1.2285027503967285, 1.2274627685546875, 1.2264573574066162, 1.2254867553710938, 1.2245473861694336, 1.2236387729644775, 1.2227582931518555, 1.22190523147583, 1.2210781574249268, 1.220275640487671, 1.2194979190826416, 1.2187418937683105, 1.2180092334747314, 1.2172977924346924, 1.2166075706481934, 1.2159392833709717, 1.2150821685791016, 1.2144527435302734, 1.2136216163635254, 1.2130348682403564, 1.2124695777893066, 1.2119231224060059, 1.211397409439087, 1.2108919620513916, 1.2104060649871826, 1.2099392414093018, 1.209491491317749, 1.2090628147125244, 1.2086513042449951, 1.208256483078003, 1.2078795433044434, 1.207517147064209, 1.207371711730957, 1.2070188522338867, 1.206700086593628, 1.2063944339752197, 1.2061004638671875, 1.2058188915252686, 1.2054409980773926, 1.2051801681518555, 1.2049293518066406, 1.2046878337860107, 1.2044532299041748, 1.2042272090911865, 1.2040073871612549, 1.2037949562072754, 1.2035880088806152, 1.2033863067626953, 1.2031893730163574, 1.2029964923858643, 1.2028069496154785, 1.202620506286621, 1.2023494243621826, 1.2021691799163818, 1.2019901275634766, 1.2018117904663086, 1.2016329765319824, 1.2009012699127197, 1.200723648071289, 1.2005460262298584, 1.2005963325500488, 1.2004141807556152, 1.2002289295196533, 1.2000389099121094, 1.199845314025879, 1.1996469497680664, 1.1994423866271973, 1.199233055114746, 1.1990177631378174, 1.1987965106964111, 1.198568344116211, 1.198333501815796, 1.1982223987579346, 1.1979718208312988, 1.1977136135101318, 1.1974482536315918, 1.197174072265625, 1.1968915462493896, 1.1966004371643066, 1.196300745010376, 1.1959912776947021, 1.1956722736358643, 1.1953437328338623, 1.1950044631958008, 1.1946556568145752, 1.194295883178711, 1.1939256191253662, 1.193544626235962, 1.193152666091919, 1.1927499771118164, 1.192336082458496, 1.1919171810150146, 1.1916556358337402, 1.1912062168121338, 1.190746784210205, 1.1902759075164795, 1.1897947788238525, 1.189302921295166, 1.1888015270233154, 1.1882896423339844, 1.1879615783691406, 1.1874244213104248, 1.1868791580200195, 1.1863255500793457, 1.1857640743255615, 1.185194730758667, 1.1846182346343994, 1.1838276386260986, 1.1832356452941895, 1.1826386451721191, 1.1820344924926758, 1.1812565326690674, 1.1806437969207764, 1.1800258159637451, 1.1808421611785889, 1.1802198886871338, 1.1795909404754639, 1.1789593696594238, 1.178323745727539, 1.1776845455169678, 1.1770431995391846, 1.176398515701294, 1.1757519245147705, 1.175102949142456, 1.174452781677246, 1.1738009452819824, 1.1732063293457031, 1.1725502014160156, 1.1718931198120117, 1.171233892440796, 1.170574426651001, 1.169914722442627, 1.1692554950714111, 1.1685960292816162, 1.167936086654663, 1.16727614402771, 1.1666169166564941, 1.165956974029541, 1.165297508239746, 1.1646380424499512, 1.1639797687530518, 1.163320779800415, 1.1624133586883545, 1.161754846572876, 1.161097764968872, 1.1604416370391846, 1.1597857475280762, 1.1591315269470215, 1.158478021621704, 1.1578257083892822, 1.1571745872497559, 1.1565241813659668, 1.1558756828308105, 1.1552271842956543, 1.1545813083648682, 1.1539359092712402, 1.1532928943634033, 1.1526501178741455, 1.152008295059204, 1.1513686180114746, 1.1507303714752197, 1.1500930786132812, 1.14945650100708, 1.1488213539123535, 1.1481881141662598, 1.1474199295043945, 1.1467885971069336, 1.1461601257324219, 1.1453123092651367, 1.144686222076416, 1.14406156539917, 1.143437385559082, 1.142815351486206, 1.1421942710876465, 1.1415741443634033, 1.1409552097320557, 1.140338659286499, 1.1397221088409424, 1.1391072273254395, 1.138493299484253, 1.1378793716430664, 1.1372675895690918, 1.1366562843322754, 1.1360456943511963, 1.1354365348815918, 1.1348271369934082, 1.1342189311981201, 1.1336119174957275, 1.1330044269561768, 1.1323981285095215, 1.1317918300628662, 1.1314187049865723, 1.1308143138885498, 1.1302111148834229, 1.1296074390411377, 1.1290061473846436, 1.1282775402069092, 1.1276779174804688, 1.1270782947540283, 1.1264803409576416, 1.1258816719055176, 1.125359058380127, 1.124763011932373, 1.1238315105438232, 1.123239278793335, 1.1226487159729004, 1.1220581531524658, 1.1214690208435059, 1.1208810806274414, 1.1202940940856934, 1.1197679042816162, 1.1191940307617188, 1.1186258792877197, 1.1180624961853027, 1.1175053119659424, 1.1169540882110596, 1.116407871246338, 1.1159288883209229, 1.1153948307037354, 1.114865779876709, 1.1143412590026855, 1.113823413848877, 1.1133105754852295, 1.112802267074585, 1.112299919128418, 1.1118018627166748, 1.111309289932251, 1.1108207702636719, 1.1103382110595703, 1.109861135482788, 1.1094677448272705, 1.109006643295288, 1.1082401275634766, 1.1077866554260254, 1.1073369979858398, 1.1068921089172363, 1.1064517498016357, 1.1060147285461426, 1.1055831909179688, 1.1051547527313232, 1.104731559753418, 1.1043117046356201], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.000780128815677017, 0.01290680281817913, -0.0017364128725603223), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011539969593286514, 0.008720980025827885, -0.013432493433356285), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007347883656620979, 0.009649280458688736, -0.015740197151899338), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0027267816476523876, 0.03410009667277336, -0.005528339650481939), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0038352347910404205, 0.014622418209910393, -0.016339339315891266), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010217174887657166, 0.011345132254064083, -0.009344002231955528), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007165318820625544, 0.0071545010432600975, -0.004387171473354101), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.027484970167279243, -0.004540178459137678, 0.013701758347451687), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005928960163146257, 0.009407470002770424, -0.004344327375292778), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.027172116562724113, -0.1170787662267685, 0.038758233189582825), (0.008109658025205135, -0.05957790091633797, -0.05079834535717964)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=38, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4199155569076538, 2.519463062286377, 23.06449317932129), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.008833314292132854, 4.957538604736328, 23.057706832885742), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3968156576156616, 7.413354396820068, 23.08791732788086), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.235785484313965, 2.4324004650115967, 23.001073837280273), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.789987802505493, 5.016810894012451, 23.107872009277344), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4088327884674072, 7.415440082550049, 23.08831024169922), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.057652950286865, 2.5194809436798096, 23.06403350830078), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.6895647048950195, 5.013156890869141, 23.101200103759766), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.238110065460205, 7.482353687286377, 23.022720336914062), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (4.2378458976745605, 4.882788181304932, 24.743925094604492), (4.259823322296143, 5.769571781158447, 25.17096519470215)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0790908336639404, energy_trajectory=[1.4268817901611328, 1.4170079231262207, 1.4100935459136963, 1.403290033340454, 1.3966083526611328, 1.3904147148132324, 1.3840081691741943, 1.3776366710662842, 1.37149977684021, 1.3652966022491455, 1.359175443649292, 1.3531334400177002, 1.3471670150756836, 1.341275930404663, 1.335458517074585, 1.3297109603881836, 1.3240318298339844, 1.318192481994629, 1.3126471042633057, 1.3072974681854248, 1.3018710613250732, 1.296501874923706, 1.2911841869354248, 1.285918951034546, 1.280836820602417, 1.2760179042816162, 1.2714712619781494, 1.2671473026275635, 1.2631080150604248, 1.2590546607971191, 1.2552521228790283, 1.2517662048339844, 1.2482495307922363, 1.2448580265045166, 1.2415783405303955, 1.2384052276611328, 1.2353286743164062, 1.2323431968688965, 1.2294397354125977, 1.2266175746917725, 1.2238678932189941, 1.2212729454040527, 1.2186553478240967, 1.216099500656128, 1.2136025428771973, 1.211162805557251, 1.208775281906128, 1.206441879272461, 1.2041594982147217, 1.20192551612854, 1.1997385025024414, 1.1975975036621094, 1.1955032348632812, 1.1934528350830078, 1.1914477348327637, 1.1894855499267578, 1.187565565109253, 1.1856868267059326, 1.183849811553955, 1.1820881366729736, 1.1803393363952637, 1.1786270141601562, 1.1769533157348633, 1.1753156185150146, 1.1737167835235596, 1.172154426574707, 1.1706271171569824, 1.1691343784332275, 1.1676743030548096, 1.1662490367889404, 1.1648552417755127, 1.1634929180145264, 1.162163496017456, 1.1608622074127197, 1.1595923900604248, 1.1583528518676758, 1.1571409702301025, 1.155958652496338, 1.1548051834106445, 1.1536803245544434, 1.152583122253418, 1.1513760089874268, 1.1503312587738037, 1.1493144035339355, 1.1483266353607178, 1.1473674774169922, 1.1464362144470215, 1.1455333232879639, 1.1446585655212402, 1.143812894821167, 1.1432883739471436, 1.1425013542175293, 1.1417427062988281, 1.1409540176391602, 1.1401140689849854, 1.1394386291503906, 1.1387221813201904, 1.1380808353424072, 1.1374874114990234, 1.1369192600250244, 1.1363773345947266, 1.1357498168945312, 1.1352555751800537, 1.13478684425354, 1.1343402862548828, 1.1339170932769775, 1.1335136890411377, 1.133131980895996, 1.132767677307129, 1.132422924041748, 1.1320950984954834, 1.1317574977874756, 1.1314597129821777, 1.1311769485473633, 1.1309080123901367, 1.130652666091919, 1.1304092407226562, 1.1301777362823486, 1.1299569606781006, 1.1297454833984375, 1.1295430660247803, 1.129349946975708, 1.1291627883911133, 1.128983974456787, 1.1282622814178467, 1.1280968189239502, 1.1279354095458984, 1.1277780532836914, 1.127622127532959, 1.1274688243865967, 1.1273179054260254, 1.1271679401397705, 1.127018690109253, 1.1268680095672607, 1.1267154216766357, 1.126558542251587, 1.1265766620635986, 1.1267037391662598, 1.126535177230835, 1.1262786388397217, 1.1260981559753418, 1.1259102821350098, 1.1256322860717773, 1.1254289150238037, 1.1252169609069824, 1.124924659729004, 1.12469482421875, 1.1244571208953857, 1.1242074966430664, 1.1239490509033203, 1.1236798763275146, 1.1234009265899658, 1.1231112480163574, 1.122812271118164, 1.1225030422210693, 1.122182846069336, 1.1218540668487549, 1.121514081954956, 1.121164083480835, 1.120804786682129, 1.1204378604888916, 1.1200590133666992, 1.1196722984313965, 1.1192781925201416, 1.1188740730285645, 1.1184947490692139, 1.118077278137207, 1.1176507472991943, 1.1172189712524414, 1.1167798042297363, 1.116335391998291, 1.1157050132751465, 1.1152515411376953, 1.1141712665557861, 1.1137056350708008, 1.1132378578186035, 1.1127667427062988, 1.1122925281524658, 1.1118154525756836, 1.1113355159759521, 1.110853910446167, 1.1103699207305908, 1.1098833084106445, 1.1093952655792236, 1.1089086532592773, 1.1084191799163818, 1.1081092357635498, 1.1076233386993408, 1.1071369647979736, 1.1066508293151855, 1.1061663627624512, 1.105682373046875, 1.1052007675170898, 1.104720115661621, 1.1038904190063477, 1.1034164428710938, 1.102945327758789, 1.102475881576538, 1.1020076274871826, 1.1015434265136719, 1.1010801792144775, 1.1006224155426025, 1.1001653671264648, 1.0997118949890137, 1.0992615222930908, 1.0988152027130127, 1.098250389099121, 1.097811222076416, 1.0973756313323975, 1.0969455242156982, 1.0965187549591064, 1.096095323562622, 1.0956785678863525, 1.095266580581665, 1.0948586463928223, 1.0944559574127197, 1.0938968658447266, 1.0935041904449463, 1.0931167602539062, 1.0927331447601318, 1.0923573970794678, 1.0920054912567139, 1.0916409492492676, 1.0912811756134033, 1.0910232067108154, 1.0906744003295898, 1.090329885482788, 1.0899925231933594, 1.0896611213684082, 1.0893347263336182, 1.0890147686004639, 1.0887012481689453, 1.0880017280578613, 1.087700605392456, 1.0876195430755615, 1.0873281955718994, 1.0869696140289307, 1.08669114112854, 1.0864179134368896, 1.0861504077911377, 1.085890769958496, 1.0856356620788574, 1.0853869915008545, 1.085143804550171, 1.0849063396453857, 1.0847692489624023, 1.0845441818237305, 1.0843250751495361, 1.0841114521026611, 1.0836446285247803, 1.0834150314331055, 1.083216667175293, 1.0830223560333252, 1.0828351974487305, 1.0826518535614014, 1.0825223922729492, 1.0823497772216797, 1.0821819305419922, 1.082019329071045, 1.0818617343902588, 1.0817091464996338, 1.0815610885620117, 1.0812287330627441, 1.0810909271240234, 1.0809581279754639, 1.0808298587799072, 1.0807058811187744, 1.0805864334106445, 1.0804708003997803, 1.0803611278533936, 1.0802557468414307, 1.080153465270996, 1.0800557136535645, 1.079960823059082, 1.0798721313476562, 1.0797853469848633, 1.0797030925750732, 1.0796422958374023, 1.0795671939849854, 1.0794954299926758, 1.0794260501861572, 1.079359769821167, 1.080118179321289, 1.0800530910491943, 1.0799908638000488, 1.0799307823181152, 1.0798721313476562, 1.079857349395752, 1.079803705215454, 1.0797522068023682, 1.079702377319336, 1.079615831375122, 1.0795683860778809, 1.079524040222168, 1.0794804096221924, 1.0794382095336914, 1.0792672634124756, 1.079171895980835, 1.0791308879852295, 1.0790908336639404], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004449262749403715, 0.003833323484286666, -0.0005491672200150788), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003440281143411994, 0.006661159917712212, -0.0017607270274311304), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003579680807888508, 0.00511899683624506, -0.005713231395930052), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0016953013837337494, 0.011991494335234165, 0.004130206070840359), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002159243682399392, -0.0044169616885483265, -0.012326848693192005), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001207093708217144, 0.003991920966655016, -0.006023402325809002), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00017297564772889018, 0.003895570058375597, -0.0007126799901016057), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005405552219599485, -0.0014607213670387864, -0.008813968859612942), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002660137601196766, -0.0019498312612995505, 0.002576361643150449), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014363751746714115, -0.0325017124414444, -0.015128379687666893), (-0.031793393194675446, -0.03439714387059212, -0.041792117059230804)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=39, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.419938087463379, 2.5020947456359863, 23.03341293334961), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.007536057382822037, 4.899930000305176, 23.065773010253906), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3751035928726196, 7.360107421875, 23.0709171295166), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.226102352142334, 2.45302677154541, 23.085655212402344), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8192594051361084, 4.894102573394775, 23.060123443603516), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.39385986328125, 7.343605995178223, 23.067100524902344), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.043970108032227, 2.467456579208374, 23.074058532714844), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.655447006225586, 4.809475898742676, 22.999086380004883), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.169720649719238, 7.389383792877197, 23.08881378173828), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-3.246455192565918, 7.139819145202637, 24.842782974243164), (-3.3625998497009277, 6.19671106338501, 25.110502243041992)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.1411089897155762, energy_trajectory=[2.236426591873169, 2.216839551925659, 2.1996097564697266, 2.183271884918213, 2.167418956756592, 2.151909828186035, 2.136686325073242, 2.1219003200531006, 2.107144594192505, 2.0927059650421143, 2.0783166885375977, 2.0642528533935547, 2.051229238510132, 2.039105176925659, 2.0277628898620605, 2.0171003341674805, 2.0070579051971436, 1.9975066184997559, 1.9884138107299805, 1.9797286987304688, 1.9714021682739258, 1.9633893966674805, 1.9556605815887451, 1.948181390762329, 1.9409263134002686, 1.9338767528533936, 1.9270172119140625, 1.920332431793213, 1.9138083457946777, 1.9067587852478027, 1.9005341529846191, 1.8944272994995117, 1.8885204792022705, 1.8826501369476318, 1.8768386840820312, 1.8711082935333252, 1.8654506206512451, 1.8596110343933105, 1.8540468215942383, 1.8485498428344727, 1.8431003093719482, 1.8376872539520264, 1.8323073387145996, 1.8269546031951904, 1.8214304447174072, 1.8161165714263916, 1.810816764831543, 1.805525302886963, 1.7994091510772705, 1.794154405593872, 1.788942813873291, 1.783766746520996, 1.7786259651184082, 1.773512363433838, 1.7684235572814941, 1.7633576393127441, 1.7583117485046387, 1.7532830238342285, 1.7482728958129883, 1.7432773113250732, 1.7382919788360596, 1.7333240509033203, 1.7283689975738525, 1.7234301567077637, 1.7185044288635254, 1.7135920524597168, 1.7086923122406006, 1.7038068771362305, 1.6989343166351318, 1.6938815116882324, 1.6890316009521484, 1.6841950416564941, 1.679370403289795, 1.6745572090148926, 1.6697547435760498, 1.6649630069732666, 1.6601812839508057, 1.6554110050201416, 1.650649070739746, 1.6458945274353027, 1.6411497592926025, 1.6364145278930664, 1.6316897869110107, 1.6269721984863281, 1.622262954711914, 1.617563009262085, 1.612872838973999, 1.6081912517547607, 1.603520154953003, 1.598860263824463, 1.5942118167877197, 1.5895764827728271, 1.584953784942627, 1.580343246459961, 1.5757496356964111, 1.5711688995361328, 1.566420555114746, 1.5618808269500732, 1.557359218597412, 1.552856206893921, 1.5483739376068115, 1.5439121723175049, 1.5394768714904785, 1.5349364280700684, 1.5305464267730713, 1.5261814594268799, 1.5218431949615479, 1.517530918121338, 1.5132474899291992, 1.50899076461792, 1.5047614574432373, 1.5005619525909424, 1.4963905811309814, 1.4922497272491455, 1.4868721961975098, 1.482785701751709, 1.4787325859069824, 1.47471284866333, 1.4707262516021729, 1.4667737483978271, 1.4628560543060303, 1.4589719772338867, 1.4551239013671875, 1.4513113498687744, 1.4475345611572266, 1.443793535232544, 1.4400877952575684, 1.4364190101623535, 1.432786226272583, 1.4291894435882568, 1.4255404472351074, 1.4218113422393799, 1.418318271636963, 1.4148612022399902, 1.411275863647461, 1.4078898429870605, 1.4045379161834717, 1.4010636806488037, 1.3977818489074707, 1.394533395767212, 1.3913190364837646, 1.3881373405456543, 1.3848626613616943, 1.3817460536956787, 1.378661870956421, 1.3756103515625, 1.3728883266448975, 1.369903564453125, 1.366950511932373, 1.364027976989746, 1.361135721206665, 1.3582732677459717, 1.3554413318634033, 1.3527429103851318, 1.349971055984497, 1.3472275733947754, 1.3445122241973877, 1.3418238162994385, 1.3391649723052979, 1.3365504741668701, 1.3339464664459229, 1.331369161605835, 1.328925371170044, 1.326401710510254, 1.3239049911499023, 1.321434736251831, 1.3189904689788818, 1.3165721893310547, 1.3141796588897705, 1.311812162399292, 1.3094701766967773, 1.3070921897888184, 1.304800033569336, 1.3025319576263428, 1.300288438796997, 1.2980692386627197, 1.2958734035491943, 1.293700933456421, 1.2915515899658203, 1.2894256114959717, 1.2873222827911377, 1.2852411270141602, 1.2831828594207764, 1.2812647819519043, 1.2792515754699707, 1.2772588729858398, 1.2750434875488281, 1.273094654083252, 1.271165370941162, 1.2692575454711914, 1.2673697471618652, 1.2655017375946045, 1.2636523246765137, 1.261821985244751, 1.2600102424621582, 1.2582159042358398, 1.2564404010772705, 1.2546823024749756, 1.2529418468475342, 1.2512195110321045, 1.2495133876800537, 1.2478244304656982, 1.2461521625518799, 1.2444953918457031, 1.2428553104400635, 1.2412307262420654, 1.239621877670288, 1.2381362915039062, 1.2365598678588867, 1.234999418258667, 1.2335691452026367, 1.2320384979248047, 1.2305240631103516, 1.2290246486663818, 1.2275404930114746, 1.2260727882385254, 1.2246203422546387, 1.2231838703155518, 1.2217624187469482, 1.2203567028045654, 1.2189671993255615, 1.2175917625427246, 1.2162325382232666, 1.214888095855713, 1.2135591506958008, 1.2122445106506348, 1.210944414138794, 1.209693193435669, 1.2084221839904785, 1.207165241241455, 1.2059216499328613, 1.2046926021575928, 1.2036149501800537, 1.2024106979370117, 1.2010445594787598, 1.1998648643493652, 1.198697566986084, 1.1975412368774414, 1.196396827697754, 1.1952629089355469, 1.194122314453125, 1.1930105686187744, 1.191908359527588, 1.1908159255981445, 1.1897330284118652, 1.188359260559082, 1.1873095035552979, 1.186267375946045, 1.1852340698242188, 1.184208631515503, 1.1825587749481201, 1.1815502643585205, 1.1805500984191895, 1.1795549392700195, 1.1782464981079102, 1.1772665977478027, 1.1762940883636475, 1.175328016281128, 1.174445390701294, 1.1734910011291504, 1.1725411415100098, 1.171598196029663, 1.170659065246582, 1.1697266101837158, 1.1688001155853271, 1.1678805351257324, 1.1669654846191406, 1.1660566329956055, 1.1651551723480225, 1.1642584800720215, 1.1633679866790771, 1.1624834537506104, 1.1616063117980957, 1.1607344150543213, 1.159869909286499, 1.159106731414795, 1.1582555770874023, 1.1574110984802246, 1.1565742492675781, 1.1557447910308838, 1.1552948951721191, 1.15447998046875, 1.153674602508545, 1.1528754234313965, 1.1520850658416748, 1.1513025760650635, 1.1503973007202148, 1.1496312618255615, 1.1488728523254395, 1.1481237411499023, 1.1473827362060547, 1.146651268005371, 1.1459274291992188, 1.1452128887176514, 1.1445074081420898, 1.143810510635376, 1.1431221961975098, 1.1424427032470703, 1.1417710781097412, 1.1411089897155762], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01004965603351593, -0.008335093036293983, -0.007149234414100647), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015786411240696907, 0.006943410262465477, -0.005743257235735655), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.045088719576597214, -0.006087713409215212, 0.009547504596412182), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0044423118233680725, 0.0031332664657384157, -0.013626727275550365), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00674423249438405, 0.0021556031424552202, -0.006612949073314667), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004978695884346962, 0.002026116708293557, -0.011617057956755161), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0065718768164515495, -0.0007160748937167227, -0.01701861061155796), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015641480684280396, 0.05489569902420044, 0.021808084100484848), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.035450804978609085, -0.03864738345146179, 0.0288121085613966), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02059275098145008, 0.058039888739585876, 0.03633048012852669), (0.028386544436216354, 0.13570547103881836, 0.003046803642064333)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=40, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.415155291557312, 2.4441707134246826, 23.000713348388672), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.09098708629608154, 4.826701641082764, 23.08635139465332), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.2971057891845703, 7.211093902587891, 23.10230827331543), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.381173610687256, 2.407398223876953, 23.102062225341797), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.9115500450134277, 4.833719730377197, 23.073396682739258), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.562470555305481, 7.244443893432617, 23.021018981933594), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.149980068206787, 2.3968305587768555, 23.08519172668457), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.724941730499268, 4.8381171226501465, 23.061559677124023), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.324923038482666, 7.280406951904297, 23.071422576904297), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (3.5912721157073975, 1.1564701795578003, 24.729267120361328), (2.7918176651000977, 1.589684009552002, 25.105344772338867)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0622739791870117, energy_trajectory=[1.3966736793518066, 1.3820557594299316, 1.3719639778137207, 1.3626224994659424, 1.3536350727081299, 1.344677448272705, 1.335977554321289, 1.327340841293335, 1.3188438415527344, 1.310800552368164, 1.3033616542816162, 1.296072244644165, 1.2891688346862793, 1.2824945449829102, 1.2761321067810059, 1.269965410232544, 1.2640228271484375, 1.2583017349243164, 1.2527611255645752, 1.2474029064178467, 1.2422151565551758, 1.2367477416992188, 1.2318720817565918, 1.2271409034729004, 1.2225518226623535, 1.2181010246276855, 1.2137813568115234, 1.209592342376709, 1.205528736114502, 1.201589822769165, 1.1977729797363281, 1.1940710544586182, 1.190486192703247, 1.1870145797729492, 1.1836247444152832, 1.1803760528564453, 1.177234411239624, 1.174196720123291, 1.1712610721588135, 1.1684250831604004, 1.1655128002166748, 1.1626763343811035, 1.1601285934448242, 1.1576712131500244, 1.1553022861480713, 1.1528151035308838, 1.1506164073944092, 1.148498773574829, 1.1464581489562988, 1.144493818283081, 1.1426019668579102, 1.1407508850097656, 1.139000654220581, 1.1373157501220703, 1.1356940269470215, 1.1338098049163818, 1.1323082447052002, 1.1308629512786865, 1.1294713020324707, 1.1281321048736572, 1.1268432140350342, 1.125601053237915, 1.1244053840637207, 1.1232526302337646, 1.1222023963928223, 1.121565580368042, 1.1205310821533203, 1.119532823562622, 1.1185684204101562, 1.117558479309082, 1.1166574954986572, 1.115786075592041, 1.1152212619781494, 1.1144053936004639, 1.1135199069976807, 1.112755298614502, 1.1120142936706543, 1.1112964153289795, 1.1105992794036865, 1.1099236011505127, 1.1092674732208252, 1.1086714267730713, 1.1080539226531982, 1.1074540615081787, 1.1068706512451172, 1.10630464553833, 1.1057538986206055, 1.105217695236206, 1.10469651222229, 1.1040289402008057, 1.1035358905792236, 1.1031546592712402, 1.1026887893676758, 1.101755142211914, 1.101311206817627, 1.1014323234558105, 1.101008653640747, 1.1005947589874268, 1.1001901626586914, 1.0997953414916992, 1.0994093418121338, 1.0990324020385742, 1.098663091659546, 1.0983004570007324, 1.097944974899292, 1.0975968837738037, 1.0972540378570557, 1.0969181060791016, 1.096587896347046, 1.0962626934051514, 1.095942735671997, 1.0956284999847412, 1.0953192710876465, 1.0950138568878174, 1.0946850776672363, 1.094383716583252, 1.094085693359375, 1.093792200088501, 1.0935001373291016, 1.092735767364502, 1.0924508571624756, 1.0921707153320312, 1.0918934345245361, 1.0916199684143066, 1.0913496017456055, 1.0915329456329346, 1.0912690162658691, 1.091007947921753, 1.0907173156738281, 1.0904624462127686, 1.0902094841003418, 1.0899608135223389, 1.0897135734558105, 1.0894689559936523, 1.0887160301208496, 1.088475227355957, 1.0882365703582764, 1.0868661403656006, 1.0866332054138184, 1.0864007472991943, 1.0861687660217285, 1.0859386920928955, 1.085709810256958, 1.0854816436767578, 1.0852551460266113, 1.0850281715393066, 1.0848021507263184, 1.0843815803527832, 1.0841569900512695, 1.084111213684082, 1.0838866233825684, 1.0836613178253174, 1.083435297012329, 1.0832092761993408, 1.082982063293457, 1.082754373550415, 1.0825250148773193, 1.0822954177856445, 1.0820643901824951, 1.0818321704864502, 1.0815978050231934, 1.081237554550171, 1.0810010433197021, 1.080763816833496, 1.0805251598358154, 1.0802860260009766, 1.0799140930175781, 1.07967209815979, 1.079430341720581, 1.0791876316070557, 1.078946590423584, 1.0787034034729004, 1.0784626007080078, 1.0782206058502197, 1.0779800415039062, 1.0777413845062256, 1.0775024890899658, 1.0772643089294434, 1.0770289897918701, 1.0767929553985596, 1.0765581130981445, 1.076324462890625, 1.0760924816131592, 1.0758612155914307, 1.0756316184997559, 1.075244426727295, 1.0750172138214111, 1.074791669845581, 1.0745680332183838, 1.0743448734283447, 1.074124813079834, 1.0739052295684814, 1.0736885070800781, 1.0734727382659912, 1.0732581615447998, 1.073044776916504, 1.0728328227996826, 1.0726215839385986, 1.0724115371704102, 1.0722029209136963, 1.0720009803771973, 1.07179594039917, 1.071526050567627, 1.0713212490081787, 1.071115493774414, 1.070911169052124, 1.0704822540283203, 1.0702831745147705, 1.0700862407684326, 1.0703446865081787, 1.070148229598999, 1.0699522495269775, 1.0697591304779053, 1.0695674419403076, 1.0693774223327637, 1.069183588027954, 1.0689961910247803, 1.0688104629516602, 1.0686256885528564, 1.0684421062469482, 1.0682587623596191, 1.0680761337280273, 1.0678939819335938, 1.0677118301391602, 1.0671427249908447, 1.0668518543243408, 1.0670535564422607, 1.0668673515319824, 1.0666797161102295, 1.0664913654327393, 1.0663025379180908, 1.066112756729126, 1.065922737121582, 1.0657312870025635, 1.0655403137207031, 1.0653481483459473, 1.0652978420257568, 1.0651085376739502, 1.064920425415039, 1.0647337436676025, 1.064549207687378, 1.0634665489196777, 1.0633056163787842, 1.0629591941833496, 1.062347650527954, 1.0622062683105469, 1.06207275390625, 1.0618805885314941, 1.0617690086364746, 1.061669111251831, 1.0615825653076172, 1.0615112781524658, 1.0614547729492188, 1.0614142417907715, 1.0613899230957031, 1.0613822937011719, 1.0612702369689941, 1.061007022857666, 1.0612297058105469, 1.0598955154418945, 1.0600066184997559, 1.060126543045044, 1.0602495670318604, 1.0603585243225098, 1.0603954792022705, 1.0605347156524658, 1.0606849193572998, 1.0607836246490479, 1.0608510971069336, 1.0608551502227783, 1.060791015625, 1.0605006217956543, 1.0616216659545898, 1.0614182949066162, 1.0611834526062012, 1.0609300136566162, 1.059640645980835, 1.0593886375427246, 1.0591871738433838, 1.058978796005249, 1.0601882934570312, 1.0600218772888184, 1.0601177215576172, 1.0600121021270752, 1.0605688095092773, 1.0605113506317139, 1.0604784488677979, 1.060520887374878, 1.0605242252349854, 1.060542106628418, 1.0606391429901123, 1.060666561126709, 1.060692548751831, 1.060715675354004, 1.062079668045044, 1.0621142387390137, 1.0621442794799805, 1.062171220779419, 1.062192678451538, 1.0622739791870117], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004357779398560524, -0.0038033281452953815, 0.008454721421003342), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0011837907368317246, -0.00362796476110816, -0.01009301096200943), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014916632324457169, 0.0031662581022828817, -0.01803969405591488), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014690554700791836, 0.005297841038554907, -0.01006272155791521), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00765602570027113, 0.0061733354814350605, -0.006207261700183153), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008707385510206223, 0.006486852187663317, 0.0015735561028122902), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002451480133458972, -0.0003541353507898748, -0.009400141425430775), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003115415805950761, -0.0002298019389854744, -0.003647700883448124), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011091400869190693, 0.003486712696030736, -0.00584389129653573), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0019780511502176523, 0.002888723975047469, 0.005032031796872616), (-0.004884278867393732, 0.038626816123723984, -0.039052195847034454)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=41, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.411677598953247, 2.5675301551818848, 23.023609161376953), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.009648052044212818, 4.947238922119141, 23.06399917602539), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.347150444984436, 7.447543144226074, 23.0874080657959), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.254380226135254, 2.5193653106689453, 23.071578979492188), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8294763565063477, 4.951233386993408, 23.066743850708008), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4353047609329224, 7.389087677001953, 23.059755325317383), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.060855865478516, 2.5082297325134277, 23.0777530670166), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.645884037017822, 4.8701348304748535, 23.008211135864258), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.222080707550049, 7.417845726013184, 23.098636627197266), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.6520001888275146, 0.05415980517864227, 24.787342071533203), (1.7024891376495361, -0.8632181286811829, 25.13946533203125)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.104973554611206, energy_trajectory=[1.404411792755127, 1.4006142616271973, 1.3936545848846436, 1.3868889808654785, 1.3802449703216553, 1.3736968040466309, 1.3672330379486084, 1.3607454299926758, 1.3544180393218994, 1.3482201099395752, 1.342421054840088, 1.3370904922485352, 1.331798791885376, 1.3267276287078857, 1.3219456672668457, 1.317265510559082, 1.3127634525299072, 1.3085691928863525, 1.3045654296875, 1.3005261421203613, 1.2966210842132568, 1.2928416728973389, 1.2891850471496582, 1.2856416702270508, 1.2822086811065674, 1.2788805961608887, 1.2756528854370117, 1.2725765705108643, 1.2695417404174805, 1.2664659023284912, 1.263361930847168, 1.2605750560760498, 1.2578797340393066, 1.2552595138549805, 1.2523677349090576, 1.249887228012085, 1.2474913597106934, 1.245140552520752, 1.2428512573242188, 1.24062180519104, 1.2384490966796875, 1.2363336086273193, 1.2342705726623535, 1.232259750366211, 1.2302985191345215, 1.2283856868743896, 1.2265193462371826, 1.224698543548584, 1.2229208946228027, 1.2213470935821533, 1.2196500301361084, 1.2180755138397217, 1.216456651687622, 1.2148196697235107, 1.213273525238037, 1.211761474609375, 1.2102820873260498, 1.2088329792022705, 1.207413911819458, 1.2060236930847168, 1.2046597003936768, 1.2033209800720215, 1.2020072937011719, 1.200716495513916, 1.1994483470916748, 1.198362112045288, 1.1971354484558105, 1.1959288120269775, 1.1945908069610596, 1.1933112144470215, 1.1921558380126953, 1.191016674041748, 1.189892292022705, 1.1887195110321045, 1.1874747276306152, 1.1863956451416016, 1.1853303909301758, 1.184279203414917, 1.1832406520843506, 1.1822142601013184, 1.1812007427215576, 1.1802000999450684, 1.1792106628417969, 1.1782333850860596, 1.17726731300354, 1.1763124465942383, 1.1753687858581543, 1.1744365692138672, 1.1736111640930176, 1.1726977825164795, 1.1717946529388428, 1.1710824966430664, 1.170201301574707, 1.1693294048309326, 1.1684670448303223, 1.1676123142242432, 1.1667656898498535, 1.1659278869628906, 1.165097713470459, 1.1640205383300781, 1.1632051467895508, 1.1624982357025146, 1.1616973876953125, 1.1610498428344727, 1.1603784561157227, 1.1595995426177979, 1.158827543258667, 1.1580610275268555, 1.157301425933838, 1.1561992168426514, 1.1554605960845947, 1.154728889465332, 1.154003381729126, 1.1532859802246094, 1.1525752544403076, 1.1518726348876953, 1.1511776447296143, 1.1503937244415283, 1.1497149467468262, 1.1490435600280762, 1.1483802795410156, 1.1477258205413818, 1.1470794677734375, 1.146442174911499, 1.145813226699829, 1.145193099975586, 1.1445820331573486, 1.1439800262451172, 1.143387794494629, 1.1428050994873047, 1.1422314643859863, 1.1416676044464111, 1.1411128044128418, 1.140568494796753, 1.140033483505249, 1.140660047531128, 1.1401472091674805, 1.139646053314209, 1.139155387878418, 1.1386735439300537, 1.1382019519805908, 1.1377394199371338, 1.137286901473999, 1.1368434429168701, 1.1364085674285889, 1.1359827518463135, 1.1349420547485352, 1.1345314979553223, 1.1342735290527344, 1.1338765621185303, 1.1334896087646484, 1.1331110000610352, 1.132498025894165, 1.1321370601654053, 1.1317853927612305, 1.1316070556640625, 1.131272554397583, 1.1310029029846191, 1.1306841373443604, 1.130373239517212, 1.1300714015960693, 1.1297755241394043, 1.1295783519744873, 1.1292994022369385, 1.1290276050567627, 1.128727912902832, 1.128469705581665, 1.1282200813293457, 1.1279771327972412, 1.127742052078247, 1.1275153160095215, 1.1272962093353271, 1.1270842552185059, 1.1269943714141846, 1.1267998218536377, 1.1264562606811523, 1.1262502670288086, 1.125852108001709, 1.125688076019287, 1.1255321502685547, 1.125382661819458, 1.1252415180206299, 1.125107765197754, 1.1249809265136719, 1.124861478805542, 1.1247491836547852, 1.1246440410614014, 1.1245450973510742, 1.1244523525238037, 1.12418532371521, 1.1241047382354736, 1.124030351638794, 1.1239614486694336, 1.123896598815918, 1.1238510608673096, 1.123795509338379, 1.1239447593688965, 1.1238958835601807, 1.1238501071929932, 1.123807430267334, 1.123767614364624, 1.1237306594848633, 1.1249823570251465, 1.1248769760131836, 1.12485933303833, 1.1248433589935303, 1.1248283386230469, 1.124814510345459, 1.1248009204864502, 1.124786615371704, 1.124772071838379, 1.1247563362121582, 1.1247403621673584, 1.124969244003296, 1.1249494552612305, 1.1249580383300781, 1.124931812286377, 1.1249029636383057, 1.1248695850372314, 1.1248323917388916, 1.1247899532318115, 1.1247427463531494, 1.1246891021728516, 1.124629020690918, 1.124563217163086, 1.1244897842407227, 1.1244094371795654, 1.124321460723877, 1.1241202354431152, 1.1240160465240479, 1.1239032745361328, 1.1237826347351074, 1.1235382556915283, 1.1233997344970703, 1.1232516765594482, 1.1230955123901367, 1.1229300498962402, 1.122755527496338, 1.1225721836090088, 1.1223788261413574, 1.1221771240234375, 1.1219663619995117, 1.12174654006958, 1.1215181350708008, 1.121281385421753, 1.1213219165802002, 1.1210696697235107, 1.1208093166351318, 1.120542049407959, 1.1202664375305176, 1.119983196258545, 1.1196925640106201, 1.1193950176239014, 1.1190917491912842, 1.1187810897827148, 1.118638277053833, 1.1181933879852295, 1.117863416671753, 1.117527723312378, 1.1171870231628418, 1.1168410778045654, 1.1164934635162354, 1.1150543689727783, 1.1147046089172363, 1.114358901977539, 1.1140198707580566, 1.1136913299560547, 1.1133818626403809, 1.113180160522461, 1.1129117012023926, 1.112668752670288, 1.1125805377960205, 1.1123840808868408, 1.1122074127197266, 1.1120474338531494, 1.111900806427002, 1.1117656230926514, 1.1116533279418945, 1.1110801696777344, 1.1109545230865479, 1.110785722732544, 1.1105892658233643, 1.1103639602661133, 1.1101090908050537, 1.109830617904663, 1.109532356262207, 1.109220027923584, 1.1088991165161133, 1.1087870597839355, 1.1084604263305664, 1.1081345081329346, 1.1078088283538818, 1.107485294342041, 1.1068463325500488, 1.1065287590026855, 1.1062121391296387, 1.1058993339538574, 1.1055879592895508, 1.1052799224853516, 1.104973554611206], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0025507479440420866, 0.0028355889953672886, -0.002081899903714657), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0003998760657850653, 0.0012227295665070415, 0.0015203591901808977), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002584346104413271, 0.0018258322961628437, -0.0009947801008820534), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001416834769770503, -0.0009106247453019023, 0.002042711479589343), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0017906477442011237, -0.0001026729732984677, 0.0009554504649713635), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0010076630860567093, -0.001473842072300613, 0.000663560931570828), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (5.6640921684447676e-05, 6.813398067606613e-05, 0.001440596068277955), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0017992825014516711, -0.0026880705263465643, -0.0011414495529606938), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001863999990746379, 0.0031176290940493345, 0.004646441899240017), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.059025682508945465, -0.014331399463117123, -0.019948376342654228), (-0.0379788875579834, -0.003389666322618723, -0.0077753495424985886)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=42, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4361889362335205, 2.439988136291504, 23.045480728149414), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.010944214649498463, 4.894194602966309, 23.04323959350586), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4072785377502441, 7.324124813079834, 23.058734893798828), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.2173333168029785, 2.4393439292907715, 23.03643035888672), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.825523853302002, 4.88038969039917, 23.058961868286133), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4023878574371338, 7.3032002449035645, 23.041250228881836), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.076031684875488, 2.418138027191162, 23.131338119506836), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.6366472244262695, 4.895267963409424, 23.035961151123047), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.246079921722412, 7.3033833503723145, 23.04468536376953), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (-1.4284313917160034, 2.504169225692749, 25.128429412841797), (-0.6370612978935242, 2.0074565410614014, 25.425701141357422)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9944872260093689, energy_trajectory=[1.2568368911743164, 1.2481558322906494, 1.2427282333374023, 1.2374463081359863, 1.2322413921356201, 1.2270901203155518, 1.221980094909668, 1.216904878616333, 1.2118146419525146, 1.2067739963531494, 1.2021019458770752, 1.197174310684204, 1.192281723022461, 1.1874065399169922, 1.1825954914093018, 1.1778247356414795, 1.1730940341949463, 1.168405294418335, 1.1639316082000732, 1.1594133377075195, 1.1548452377319336, 1.1503193378448486, 1.1458380222320557, 1.1415998935699463, 1.1374304294586182, 1.1334104537963867, 1.1295630931854248, 1.1264145374298096, 1.1229863166809082, 1.120485544204712, 1.1174063682556152, 1.114478349685669, 1.1116905212402344, 1.1090354919433594, 1.1065011024475098, 1.1040797233581543, 1.1017646789550781, 1.0995490550994873, 1.097426414489746, 1.095463752746582, 1.0931007862091064, 1.0909063816070557, 1.0891056060791016, 1.0873889923095703, 1.0857234001159668, 1.0841186046600342, 1.0825634002685547, 1.0810723304748535, 1.0803451538085938, 1.0789568424224854, 1.0776801109313965, 1.076380729675293, 1.075124740600586, 1.0739080905914307, 1.0727319717407227, 1.0715899467468262, 1.0704829692840576, 1.0694105625152588, 1.0683698654174805, 1.067359209060669, 1.066375970840454, 1.065420150756836, 1.0644910335540771, 1.0635876655578613, 1.0627083778381348, 1.0618493556976318, 1.0609283447265625, 1.060112714767456, 1.0593171119689941, 1.0585391521453857, 1.0577785968780518, 1.0570347309112549, 1.0563075542449951, 1.0555942058563232, 1.0548954010009766, 1.0542104244232178, 1.0535378456115723, 1.052877426147461, 1.0522282123565674, 1.0515899658203125, 1.050961971282959, 1.0503463745117188, 1.049738883972168, 1.049142837524414, 1.0485546588897705, 1.0479283332824707, 1.0473580360412598, 1.0467958450317383, 1.0462429523468018, 1.0456976890563965, 1.0451617240905762, 1.044631004333496, 1.0441076755523682, 1.043593406677246, 1.0430750846862793, 1.0425736904144287, 1.042078971862793, 1.0415894985198975, 1.0411064624786377, 1.0406293869018555, 1.0401577949523926, 1.039691686630249, 1.0392286777496338, 1.0387732982635498, 1.0383203029632568, 1.037872552871704, 1.0374281406402588, 1.0369884967803955, 1.036552906036377, 1.0361204147338867, 1.035691261291504, 1.0353522300720215, 1.034754991531372, 1.0355610847473145, 1.0351226329803467, 1.034482717514038, 1.0340008735656738, 1.0332252979278564, 1.0328013896942139, 1.0323822498321533, 1.0319674015045166, 1.0315577983856201, 1.0311520099639893, 1.0307493209838867, 1.030351161956787, 1.0299582481384277, 1.029569387435913, 1.0291850566864014, 1.0288047790527344, 1.0284287929534912, 1.0280580520629883, 1.0276906490325928, 1.0273284912109375, 1.026970624923706, 1.0266153812408447, 1.0262644290924072, 1.0259177684783936, 1.0255746841430664, 1.025235652923584, 1.0249013900756836, 1.024566888809204, 1.024238109588623, 1.023914098739624, 1.023810625076294, 1.0234899520874023, 1.0231709480285645, 1.022855281829834, 1.0225412845611572, 1.0222294330596924, 1.0219194889068604, 1.0216100215911865, 1.0213038921356201, 1.020998477935791, 1.020693063735962, 1.0203900337219238, 1.020087718963623, 1.0197863578796387, 1.0194852352142334, 1.0191855430603027, 1.0177416801452637, 1.0174143314361572, 1.017099380493164, 1.016425609588623, 1.0161008834838867, 1.0157785415649414, 1.0154578685760498, 1.0151383876800537, 1.0148208141326904, 1.014505386352539, 1.0136497020721436, 1.013335943222046, 1.0130243301391602, 1.0127153396606445, 1.0124094486236572, 1.0121052265167236, 1.011803388595581, 1.0115032196044922, 1.0112059116363525, 1.0109100341796875, 1.0106854438781738, 1.0103919506072998, 1.0096795558929443, 1.0093913078308105, 1.0091042518615723, 1.0088188648223877, 1.0085339546203613, 1.0082528591156006, 1.007972002029419, 1.0076904296875, 1.0074090957641602, 1.0071310997009277, 1.0068516731262207, 1.0065736770629883, 1.0062947273254395, 1.0060181617736816, 1.0057415962219238, 1.0054657459259033, 1.0049386024475098, 1.0046641826629639, 1.004389762878418, 1.0041158199310303, 1.0038416385650635, 1.003570318222046, 1.0032985210418701, 1.003035068511963, 1.0027689933776855, 1.0022010803222656, 1.001936912536621, 1.0016751289367676, 1.0014152526855469, 1.001157283782959, 1.0009033679962158, 1.0006499290466309, 1.0003998279571533, 1.0001518726348877, 0.9999081492424011, 0.999667227268219, 0.9994300007820129, 0.9991973042488098, 0.9989675879478455, 0.9987432360649109, 0.9984654784202576, 0.9982442259788513, 0.9980295300483704, 0.9978163838386536, 0.9976086020469666, 0.9974024891853333, 0.9972015023231506, 0.997002899646759, 0.9968085885047913, 0.9966172575950623, 0.9964303374290466, 0.9962447285652161, 0.9960644841194153, 0.9958859086036682, 0.9957125782966614, 0.9955407977104187, 0.995372474193573, 0.9952072501182556, 0.9950451254844666, 0.9948870539665222, 0.9947295784950256, 0.9945744872093201, 0.9944209456443787, 0.9942705035209656, 0.9941204190254211, 0.99397212266922, 0.9938250184059143, 0.9936804175376892, 0.9935367703437805, 0.9933934807777405, 0.9932522177696228, 0.9931110739707947, 0.9929694533348083, 0.9925499558448792, 0.9924116730690002, 0.9922730326652527, 0.9921556115150452, 0.9920181632041931, 0.991641104221344, 0.991503894329071, 0.991398274898529, 0.9912628531455994, 0.9911256432533264, 0.9909878373146057, 0.9908666014671326, 0.9907270073890686, 0.990614116191864, 0.9904764294624329, 0.9903885722160339, 0.9902642369270325, 0.9901531338691711, 0.9900631308555603, 0.9899957776069641, 0.9899925589561462, 0.9900066256523132, 0.9901321530342102, 0.990239679813385, 0.9904603362083435, 0.9907039999961853, 0.9911505579948425, 0.9918518662452698, 0.9923080801963806, 0.9927700161933899, 0.9928397536277771, 0.9935253262519836, 0.9935166239738464, 0.9938735365867615, 0.9941801428794861, 0.9943529963493347, 0.99496990442276, 0.995117723941803, 0.995111882686615, 0.9951285719871521, 0.9946582913398743, 0.9944227337837219, 0.9947951436042786, 0.9947007298469543, 0.994598925113678, 0.9944872260093689], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0014139235718175769, -0.0028848820365965366, 0.005230159033089876), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0031976073514670134, 4.306286427890882e-05, 0.003959017340093851), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001975046470761299, -0.0012890808284282684, 0.011052031069993973), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008396059274673462, -0.0012206408428028226, 0.009018721990287304), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0026007441338151693, -0.0011656447313725948, 0.014349544420838356), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007012407761067152, 0.006988585460931063, 0.0073704794049263), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0028234708588570356, 0.01484167855232954, 0.012426427565515041), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002004151465371251, -0.0023260749876499176, 0.007157610729336739), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0018521723104640841, 0.005963528528809547, 0.0075533753260970116), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006001987028867006, -0.01992444507777691, -0.003245495492592454), (-0.012305147014558315, 0.010024749673902988, 0.043579790741205215)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=43, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4175803661346436, 2.5231997966766357, 23.078960418701172), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.004210376180708408, 4.94942045211792, 23.060400009155273), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4092458486557007, 7.397638320922852, 23.056438446044922), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.223724842071533, 2.5254344940185547, 23.079120635986328), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8203864097595215, 4.872372150421143, 23.001684188842773), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3728740215301514, 7.450723648071289, 23.090167999267578), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.054527282714844, 2.5897881984710693, 23.021617889404297), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.646306037902832, 4.952291011810303, 23.060392379760742), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.269217491149902, 7.44199800491333, 23.090110778808594), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (7.0493083000183105, -0.03659144788980484, 24.739412307739258), (7.0583577156066895, 0.8560830950737, 25.15379524230957)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0807840824127197, energy_trajectory=[1.7478759288787842, 1.7393064498901367, 1.7317206859588623, 1.7240934371948242, 1.7169163227081299, 1.7099111080169678, 1.7030508518218994, 1.6965529918670654, 1.6900033950805664, 1.6835176944732666, 1.6770472526550293, 1.6706359386444092, 1.6643002033233643, 1.6580164432525635, 1.6517817974090576, 1.6455938816070557, 1.6395549774169922, 1.6334478855133057, 1.6273322105407715, 1.6212968826293945, 1.6152799129486084, 1.6093051433563232, 1.6032025814056396, 1.597259521484375, 1.5913686752319336, 1.5856728553771973, 1.5798304080963135, 1.5737278461456299, 1.5679490566253662, 1.5622003078460693, 1.5564844608306885, 1.5508019924163818, 1.545013189315796, 1.5393974781036377, 1.5338153839111328, 1.5282669067382812, 1.5227525234222412, 1.5172724723815918, 1.5118882656097412, 1.5064761638641357, 1.501166820526123, 1.4958240985870361, 1.4905178546905518, 1.4852466583251953, 1.4800665378570557, 1.47487211227417, 1.4698688983917236, 1.4647512435913086, 1.4595625400543213, 1.4545197486877441, 1.4495162963867188, 1.4445526599884033, 1.4396302700042725, 1.4347481727600098, 1.4299066066741943, 1.4248976707458496, 1.4201407432556152, 1.4154250621795654, 1.4107494354248047, 1.4061150550842285, 1.4015204906463623, 1.396967887878418, 1.392455816268921, 1.387984275817871, 1.3835537433624268, 1.3791625499725342, 1.3748130798339844, 1.3705031871795654, 1.3662331104278564, 1.3620033264160156, 1.3578131198883057, 1.3535053730010986, 1.3493962287902832, 1.345327615737915, 1.3412981033325195, 1.3377869129180908, 1.3338439464569092, 1.3297839164733887, 1.3259215354919434, 1.3221006393432617, 1.318166971206665, 1.314429521560669, 1.3107335567474365, 1.3070812225341797, 1.303471565246582, 1.2999045848846436, 1.2963809967041016, 1.2928991317749023, 1.2894623279571533, 1.286067008972168, 1.2827153205871582, 1.2794060707092285, 1.276139497756958, 1.2729156017303467, 1.2697343826293945, 1.266594409942627, 1.2634952068328857, 1.2604389190673828, 1.2574503421783447, 1.2542943954467773, 1.251356840133667, 1.248183012008667, 1.2450551986694336, 1.2422316074371338, 1.2394165992736816, 1.2365665435791016, 1.2337286472320557, 1.2310473918914795, 1.2284018993377686, 1.2257916927337646, 1.223217248916626, 1.2205867767333984, 1.2180817127227783, 1.215611457824707, 1.212982177734375, 1.2105798721313477, 1.2081141471862793, 1.2057774066925049, 1.2034728527069092, 1.2012012004852295, 1.1989624500274658, 1.1967577934265137, 1.1945855617523193, 1.1924452781677246, 1.1903367042541504, 1.1882603168487549, 1.186215877532959, 1.1842026710510254, 1.182220458984375, 1.1802682876586914, 1.178347110748291, 1.176457166671753, 1.174595832824707, 1.1727635860443115, 1.170961618423462, 1.169187307357788, 1.1674408912658691, 1.1657235622406006, 1.164032220840454, 1.162367582321167, 1.160728931427002, 1.159116268157959, 1.1575300693511963, 1.1559679508209229, 1.1541974544525146, 1.1526846885681152, 1.1511969566345215, 1.1497325897216797, 1.1484215259552002, 1.1470110416412354, 1.1456308364868164, 1.1442792415618896, 1.142956256866455, 1.1416616439819336, 1.1405723094940186, 1.1393299102783203, 1.138113021850586, 1.1369202136993408, 1.135751724243164, 1.1346063613891602, 1.1334831714630127, 1.132380723953247, 1.1314101219177246, 1.1302266120910645, 1.1291851997375488, 1.128164529800415, 1.1271629333496094, 1.1261811256408691, 1.1252176761627197, 1.1242718696594238, 1.1233429908752441, 1.1224308013916016, 1.1214632987976074, 1.1205828189849854, 1.1197185516357422, 1.1188678741455078, 1.1181046962738037, 1.1172823905944824, 1.1163058280944824, 1.1155102252960205, 1.1149661540985107, 1.114307165145874, 1.1135492324829102, 1.1128041744232178, 1.1120693683624268, 1.111344814300537, 1.1106319427490234, 1.1099286079406738, 1.1092355251312256, 1.1085498332977295, 1.1078743934631348, 1.1072070598602295, 1.106548547744751, 1.1058979034423828, 1.105255126953125, 1.1046199798583984, 1.103991985321045, 1.1033718585968018, 1.1027576923370361, 1.1021509170532227, 1.1011009216308594, 1.1005425453186035, 1.0999877452850342, 1.0981590747833252, 1.0976600646972656, 1.0973854064941406, 1.096874713897705, 1.0962636470794678, 1.0957608222961426, 1.0952625274658203, 1.0947673320770264, 1.0942747592926025, 1.0937871932983398, 1.093301773071289, 1.0928196907043457, 1.0923402309417725, 1.0917327404022217, 1.091261863708496, 1.0907936096191406, 1.0903289318084717, 1.0898680686950684, 1.0894098281860352, 1.0889549255371094, 1.088503122329712, 1.0880541801452637, 1.087609052658081, 1.0871663093566895, 1.0867505073547363, 1.0863149166107178, 1.0858831405639648, 1.0854530334472656, 1.0850274562835693, 1.084604263305664, 1.084183692932129, 1.0837671756744385, 1.0833532810211182, 1.0829427242279053, 1.0825350284576416, 1.082129716873169, 1.081726312637329, 1.0813241004943848, 1.0809240341186523, 1.0805253982543945, 1.0801270008087158, 1.0795087814331055, 1.079111099243164, 1.0787146091461182, 1.0783171653747559, 1.0779190063476562, 1.0775198936462402, 1.0771195888519287, 1.0767173767089844, 1.0763123035430908, 1.075906753540039, 1.0754985809326172, 1.075087070465088, 1.074671983718872, 1.0742533206939697, 1.0738301277160645, 1.0734028816223145, 1.0729694366455078, 1.0725321769714355, 1.0720913410186768, 1.0716454982757568, 1.071195125579834, 1.0707838535308838, 1.0703237056732178, 1.0699379444122314, 1.069481611251831, 1.0690538883209229, 1.0685679912567139, 1.0683081150054932, 1.0682053565979004, 1.0683062076568604, 1.0686273574829102, 1.0691635608673096, 1.0698621273040771, 1.0705287456512451, 1.071305274963379, 1.0721416473388672, 1.0730724334716797, 1.0740079879760742, 1.075059413909912, 1.0760767459869385, 1.0771427154541016, 1.0782418251037598, 1.0791945457458496, 1.0800316333770752, 1.0806550979614258, 1.0810723304748535, 1.0813369750976562, 1.0814919471740723, 1.0814464092254639, 1.0816495418548584, 1.0813260078430176, 1.0812649726867676, 1.0811772346496582, 1.0810649394989014, 1.0809335708618164, 1.0807840824127197], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0029983040876686573, -0.010047752410173416, 0.009107368066906929), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02048731967806816, 0.032645564526319504, 0.0077817440032958984), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0004885614616796374, -0.0006497110589407384, 0.0007750680670142174), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0038210726343095303, -0.010975176468491554, 0.008802302181720734), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0037075693253427744, 0.010737127624452114, -0.0012133816489949822), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012912279926240444, -0.007826241664588451, 0.01906895451247692), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005305964034050703, -0.03171312063932419, 0.016365978866815567), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014138254337012768, 0.020200716331601143, 0.009463380090892315), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011900743469595909, 0.007758411578834057, 0.016035454347729683), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003084077499806881, 0.005812561139464378, -0.04653283581137657), (-0.010046521201729774, -0.02850145660340786, -0.004750568885356188)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=44, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3937939405441284, 2.446542501449585, 23.08795738220215), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.021752377972006798, 4.883051872253418, 23.089414596557617), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4749218225479126, 7.308779716491699, 23.032848358154297), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.160187244415283, 2.4712085723876953, 23.0762996673584), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.804671287536621, 4.892566680908203, 23.061941146850586), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3758529424667358, 7.257533550262451, 23.0863037109375), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.134735107421875, 2.503730058670044, 22.988985061645508), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.626409530639648, 4.899845123291016, 23.059005737304688), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.218739986419678, 7.335573196411133, 23.057472229003906), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.204729080200195, 1.363700270652771, 24.673851013183594), (4.503937721252441, 0.9945754408836365, 25.252042770385742)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.1132104396820068, energy_trajectory=[1.7434120178222656, 1.728881597518921, 1.717724084854126, 1.707484245300293, 1.6977207660675049, 1.6882212162017822, 1.6788725852966309, 1.6697139739990234, 1.6605045795440674, 1.6514184474945068, 1.6428852081298828, 1.6345956325531006, 1.6269512176513672, 1.619757890701294, 1.6127867698669434, 1.6061067581176758, 1.5996875762939453, 1.5935051441192627, 1.587541103363037, 1.5817739963531494, 1.5761847496032715, 1.5707626342773438, 1.565500259399414, 1.5603885650634766, 1.5554187297821045, 1.5505828857421875, 1.5458767414093018, 1.541287899017334, 1.5368163585662842, 1.5324549674987793, 1.5281982421875, 1.5240418910980225, 1.5197343826293945, 1.5157670974731445, 1.5118863582611084, 1.5080881118774414, 1.504371166229248, 1.5007295608520508, 1.4969794750213623, 1.4934842586517334, 1.4900555610656738, 1.4866933822631836, 1.4833943843841553, 1.4801554679870605, 1.4769761562347412, 1.4738538265228271, 1.4707870483398438, 1.4677741527557373, 1.4648542404174805, 1.4619417190551758, 1.459418773651123, 1.4566116333007812, 1.453852653503418, 1.4512412548065186, 1.448570966720581, 1.4459469318389893, 1.4433672428131104, 1.4408307075500488, 1.4383373260498047, 1.4358856678009033, 1.4334752559661865, 1.4308972358703613, 1.4285690784454346, 1.4262797832489014, 1.4240312576293945, 1.4218194484710693, 1.4196462631225586, 1.4175078868865967, 1.415407657623291, 1.4133424758911133, 1.4113125801086426, 1.4093165397644043, 1.4073541164398193, 1.4054243564605713, 1.4035289287567139, 1.4016644954681396, 1.3998332023620605, 1.3980324268341064, 1.3961608409881592, 1.3944270610809326, 1.3927228450775146, 1.3910467624664307, 1.3893940448760986, 1.387773036956787, 1.3861770629882812, 1.384606122970581, 1.383059024810791, 1.3815317153930664, 1.3800249099731445, 1.3785362243652344, 1.3770637512207031, 1.3756074905395508, 1.374166488647461, 1.3727397918701172, 1.3713264465332031, 1.3699262142181396, 1.3687365055084229, 1.3673601150512695, 1.3659956455230713, 1.3646447658538818, 1.3633043766021729, 1.3619768619537354, 1.3606624603271484, 1.3593597412109375, 1.3580691814422607, 1.3567912578582764, 1.3555243015289307, 1.3542697429656982, 1.3530259132385254, 1.3517932891845703, 1.3505709171295166, 1.3493602275848389, 1.3483319282531738, 1.3471400737762451, 1.3459577560424805, 1.3447844982147217, 1.3436205387115479, 1.3424627780914307, 1.3413128852844238, 1.34017014503479, 1.3390326499938965, 1.3379013538360596, 1.3367762565612793, 1.3356544971466064, 1.3345379829406738, 1.3334248065948486, 1.332315444946289, 1.331207513809204, 1.3301033973693848, 1.32900071144104, 1.3278987407684326, 1.326798439025879, 1.3256981372833252, 1.3249568939208984, 1.323857307434082, 1.322756052017212, 1.3216547966003418, 1.3203201293945312, 1.3192138671875, 1.3181052207946777, 1.3169944286346436, 1.3158800601959229, 1.3147623538970947, 1.313640832901001, 1.3125150203704834, 1.3113839626312256, 1.3102483749389648, 1.309107780456543, 1.307962417602539, 1.3068110942840576, 1.305654764175415, 1.304492473602295, 1.3033246994018555, 1.3021507263183594, 1.3009707927703857, 1.2997844219207764, 1.2985916137695312, 1.297391653060913, 1.2961857318878174, 1.2949726581573486, 1.2937533855438232, 1.292527675628662, 1.2912943363189697, 1.2900543212890625, 1.2888069152832031, 1.2875523567199707, 1.2862904071807861, 1.2850213050842285, 1.2837443351745605, 1.2824597358703613, 1.281167984008789, 1.2798678874969482, 1.2785608768463135, 1.2772448062896729, 1.27592134475708, 1.2741692066192627, 1.2728285789489746, 1.271479845046997, 1.2701225280761719, 1.2687578201293945, 1.2673840522766113, 1.2660021781921387, 1.2646112442016602, 1.263211727142334, 1.2618038654327393, 1.2603864669799805, 1.258753776550293, 1.2573180198669434, 1.255873441696167, 1.254420518875122, 1.2529575824737549, 1.25148606300354, 1.2500052452087402, 1.2485151290893555, 1.2470157146453857, 1.2455072402954102, 1.2439899444580078, 1.2424626350402832, 1.2409281730651855, 1.2391188144683838, 1.2375664710998535, 1.2360053062438965, 1.2344367504119873, 1.2328593730926514, 1.2312743663787842, 1.2296819686889648, 1.2277090549468994, 1.226102352142334, 1.224487543106079, 1.2228660583496094, 1.2212371826171875, 1.219602346420288, 1.217961311340332, 1.216313123703003, 1.21466064453125, 1.213003158569336, 1.2113406658172607, 1.2096750736236572, 1.208005666732788, 1.2063355445861816, 1.2046608924865723, 1.2029860019683838, 1.201310634613037, 1.1996345520019531, 1.1979594230651855, 1.1962854862213135, 1.194509506225586, 1.1928415298461914, 1.1911780834197998, 1.1895194053649902, 1.1878669261932373, 1.186220645904541, 1.1845829486846924, 1.182952642440796, 1.1813335418701172, 1.1798748970031738, 1.1782786846160889, 1.1766948699951172, 1.1751251220703125, 1.1735692024230957, 1.1720280647277832, 1.1705031394958496, 1.168994426727295, 1.167639970779419, 1.1661648750305176, 1.1647083759307861, 1.1632702350616455, 1.161850929260254, 1.1604514122009277, 1.1590726375579834, 1.1577136516571045, 1.1564855575561523, 1.1551682949066162, 1.1538705825805664, 1.152594804763794, 1.151339054107666, 1.1501047611236572, 1.1488909721374512, 1.1476974487304688, 1.14652419090271, 1.1453711986541748, 1.144371747970581, 1.1432561874389648, 1.1421599388122559, 1.1410841941833496, 1.1400270462036133, 1.1389884948730469, 1.137969732284546, 1.1369681358337402, 1.1359858512878418, 1.1350207328796387, 1.1340718269348145, 1.1331405639648438, 1.132091999053955, 1.131192922592163, 1.1303093433380127, 1.1294398307800293, 1.1285853385925293, 1.12811279296875, 1.1272876262664795, 1.1264750957489014, 1.125676155090332, 1.124889850616455, 1.124114751815796, 1.1233515739440918, 1.1226005554199219, 1.1218607425689697, 1.121131420135498, 1.1204144954681396, 1.1198194026947021, 1.1191234588623047, 1.1184396743774414, 1.117767095565796, 1.1171040534973145, 1.1164512634277344, 1.1158108711242676, 1.1151812076568604, 1.114562749862671, 1.1135118007659912, 1.1132104396820068], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013148210011422634, -0.006742904894053936, -0.005578777752816677), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003638865426182747, -0.0109486049041152, -0.004511033650487661), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011861737817525864, -0.021739626303315163, -0.007658990100026131), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02882814034819603, -0.020400673151016235, 0.012179228477180004), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0033914558589458466, -0.0204781387001276, -0.006269399542361498), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0025620386004447937, -0.0036253659054636955, -0.009590309113264084), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010686441324651241, -0.01821221597492695, 0.006833236664533615), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0018505753250792623, -0.017095115035772324, -0.0019301919965073466), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0006254245527088642, -0.013707014732062817, 0.0014214179245755076), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.11162985116243362, -0.013396255671977997, 0.03297920152544975), (-0.06946864724159241, -0.07947200536727905, -0.00211373926140368)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=45, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4075520038604736, 2.4381253719329834, 23.038114547729492), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.03266033157706261, 4.883856773376465, 23.06197738647461), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.380983591079712, 7.305768013000488, 23.037033081054688), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.242878437042236, 2.472429037094116, 23.145248413085938), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.836677074432373, 4.914498329162598, 23.039424896240234), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4459373950958252, 7.323401927947998, 23.04982566833496), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.08696174621582, 2.4365763664245605, 23.050207138061523), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.686960220336914, 4.889824390411377, 23.048994064331055), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.264711856842041, 7.323928356170654, 23.058666229248047), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (3.9120724201202393, 2.43707537651062, 25.122329711914062), (3.4380009174346924, 3.269470453262329, 25.340078353881836)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.026418924331665, energy_trajectory=[1.2081408500671387, 1.1987366676330566, 1.192317008972168, 1.1860136985778809, 1.1798295974731445, 1.1738524436950684, 1.1678755283355713, 1.1619529724121094, 1.1560826301574707, 1.1502635478973389, 1.1445019245147705, 1.1388249397277832, 1.133176565170288, 1.1275887489318848, 1.1220595836639404, 1.116593599319458, 1.111189603805542, 1.1058495044708252, 1.1005756855010986, 1.0951106548309326, 1.0899686813354492, 1.0850694179534912, 1.0803930759429932, 1.0759220123291016, 1.071643590927124, 1.0676238536834717, 1.0635974407196045, 1.059828758239746, 1.0562000274658203, 1.0527105331420898, 1.0493533611297607, 1.046125888824463, 1.0430188179016113, 1.0400307178497314, 1.037160873413086, 1.0344016551971436, 1.0318603515625, 1.0293195247650146, 1.0268845558166504, 1.0245561599731445, 1.022329568862915, 1.0202057361602783, 1.0181818008422852, 1.0162553787231445, 1.0144267082214355, 1.0126948356628418, 1.011056661605835, 1.0095124244689941, 1.0080573558807373, 1.0066900253295898, 1.0056500434875488, 1.0051069259643555, 1.0039808750152588, 1.0029306411743164, 1.0019152164459229, 1.0010113716125488, 1.0001757144927979, 0.9994048476219177, 0.9986974596977234, 0.9980500340461731, 0.997460663318634, 0.9969294667243958, 0.9964520335197449, 0.9960331320762634, 0.9956603646278381, 0.9953374266624451, 0.9950613379478455, 0.9948319792747498, 0.9948425889015198, 0.9946946501731873, 0.9943503737449646, 0.9942633509635925, 0.994195282459259, 0.9940597414970398, 0.9940082430839539, 0.9939574599266052, 0.9938928484916687, 0.9938367009162903, 0.9937800765037537, 0.9937254786491394, 0.9936749339103699, 0.9936311841011047, 0.993596613407135, 0.993569552898407, 0.993548572063446, 0.9935334324836731, 0.9935240149497986, 0.9935169816017151, 0.9935112595558167, 0.9935047030448914, 0.9935020804405212, 0.9935030341148376, 0.9936559796333313, 0.9936754107475281, 0.9940984845161438, 0.9941142201423645, 0.9941796660423279, 0.9942629933357239, 0.9943645596504211, 0.9944810271263123, 0.9946113228797913, 0.9947503209114075, 0.9948976635932922, 0.9949795603752136, 0.9951363205909729, 0.9952886700630188, 0.99544757604599, 0.996228039264679, 0.9963759779930115, 0.9965198636054993, 0.9966570734977722, 0.996787965297699, 0.9969128966331482, 0.99727863073349, 0.9973923563957214, 0.9973016381263733, 0.9974028468132019, 0.9974923729896545, 0.9975842833518982, 0.9974730610847473, 0.9975594878196716, 0.9976447224617004, 0.9977250695228577, 0.997839629650116, 0.9979265332221985, 0.9980140328407288, 0.9981052279472351, 0.9981978535652161, 0.9982929825782776, 0.9983907341957092, 0.998491108417511, 0.9985948204994202, 0.9986358284950256, 0.9987444281578064, 0.9988555312156677, 0.9988588690757751, 0.9989269375801086, 0.9991560578346252, 0.999273955821991, 0.9991982579231262, 0.9993178248405457, 0.9994389414787292, 0.9995610117912292, 0.9996855854988098, 0.9998088479042053, 0.9999338984489441, 1.0000596046447754, 1.0001842975616455, 1.0003113746643066, 1.0004372596740723, 1.0005643367767334, 1.0006935596466064, 1.0008225440979004, 1.0009536743164062, 1.0009636878967285, 1.001081943511963, 1.0012178421020508, 1.0013558864593506, 1.0014970302581787, 1.0016400814056396, 1.0017859935760498, 1.001934289932251, 1.0020852088928223, 1.0022389888763428, 1.0023844242095947, 1.0025436878204346, 1.0027050971984863, 1.0028183460235596, 1.0029876232147217, 1.0031592845916748, 1.0032706260681152, 1.0034475326538086, 1.003629207611084, 1.0038120746612549, 1.0039970874786377, 1.004183292388916, 1.0043730735778809, 1.004563808441162, 1.0047574043273926, 1.0049517154693604, 1.005021572113037, 1.0052175521850586, 1.0054185390472412, 1.0056204795837402, 1.00577712059021, 1.0059826374053955, 1.0064420700073242, 1.0066540241241455, 1.0068681240081787, 1.0070836544036865, 1.0073020458221436, 1.0075228214263916, 1.0077464580535889, 1.0079729557037354, 1.008202075958252, 1.0084354877471924, 1.0086710453033447, 1.008910894393921, 1.0091545581817627, 1.0094008445739746, 1.0096511840820312, 1.0098028182983398, 1.0100607872009277, 1.0103223323822021, 1.010589838027954, 1.0108602046966553, 1.0111362934112549, 1.011415719985962, 1.0117008686065674, 1.0119152069091797, 1.0122087001800537, 1.0125079154968262, 1.0128095149993896, 1.0131514072418213, 1.0134620666503906, 1.0137758255004883, 1.0140957832336426, 1.0144169330596924, 1.0147438049316406, 1.0150730609893799, 1.0154056549072266, 1.0157406330108643, 1.0158112049102783, 1.0161497592926025, 1.0164895057678223, 1.0168282985687256, 1.0171687602996826, 1.0175096988677979, 1.0178494453430176, 1.0181894302368164, 1.0185294151306152, 1.0188677310943604, 1.019106149673462, 1.0194435119628906, 1.019822359085083, 1.0201566219329834, 1.0204885005950928, 1.0207242965698242, 1.0210421085357666, 1.0213589668273926, 1.0216739177703857, 1.0219855308532715, 1.0223889350891113, 1.0226945877075195, 1.0229973793029785, 1.0234506130218506, 1.0237460136413574, 1.0240387916564941, 1.024327278137207, 1.0246117115020752, 1.024892807006836, 1.0250136852264404, 1.025285005569458, 1.0255510807037354, 1.0258104801177979, 1.0260655879974365, 1.0263137817382812, 1.0260021686553955, 1.0262420177459717, 1.0265755653381348, 1.0268025398254395, 1.0270092487335205, 1.0272202491760254, 1.02742600440979, 1.0277540683746338, 1.0278065204620361, 1.0282838344573975, 1.0284497737884521, 1.028606653213501, 1.0287528038024902, 1.028890609741211, 1.0289041996002197, 1.0288896560668945, 1.0288350582122803, 1.0289289951324463, 1.0290119647979736, 1.0290806293487549, 1.0291361808776855, 1.029174566268921, 1.0293235778808594, 1.0293364524841309, 1.0296776294708252, 1.0297014713287354, 1.0293545722961426, 1.0293006896972656, 1.0292277336120605, 1.0291376113891602, 1.0290303230285645, 1.0289034843444824, 1.0289041996002197, 1.0287864208221436, 1.0286002159118652, 1.028425931930542, 1.028165578842163, 1.0279278755187988, 1.0277771949768066, 1.0278677940368652, 1.0269670486450195, 1.0267314910888672, 1.026418924331665], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.027736658230423927, 0.018357595428824425, 0.006812985520809889), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03454068303108215, 0.01563243381679058, 0.02655927464365959), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04986878111958504, 0.008080685511231422, 0.01063602976500988), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0007425927324220538, -0.0029574595391750336, 0.041974686086177826), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0316372886300087, 0.0037165628746151924, 0.011919328942894936), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.026569494977593422, -0.010474607348442078, -0.0011552368523553014), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007898791693150997, 0.02112600766122341, 0.003731337608769536), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03475045785307884, 0.030298203229904175, 0.003639770904555917), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03769896179437637, 0.019600819796323776, 0.022896599024534225), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.12431229650974274, -0.040971964597702026, 0.018284974619746208), (0.06112850084900856, -0.0432388111948967, -0.01871355064213276)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=46, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4370864629745483, 2.505007743835449, 23.138565063476562), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.005993532948195934, 4.932942867279053, 23.056413650512695), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3899606466293335, 7.3368988037109375, 23.033205032348633), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.283226490020752, 2.481581211090088, 23.043851852416992), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.847982168197632, 4.955813884735107, 23.038326263427734), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4272310733795166, 7.366958141326904, 23.064441680908203), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.0667724609375, 2.47991943359375, 23.05335235595703), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.657916069030762, 4.922896385192871, 23.072250366210938), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.243005752563477, 7.356273651123047, 23.051727294921875), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.9308691024780273, 2.456719160079956, 25.084749221801758), (2.162348508834839, 3.38175106048584, 25.320499420166016)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0562925338745117, energy_trajectory=[1.4088425636291504, 1.4043700695037842, 1.397670030593872, 1.3914222717285156, 1.3855834007263184, 1.380232810974121, 1.3750708103179932, 1.3701808452606201, 1.365527868270874, 1.3610804080963135, 1.356844186782837, 1.3527779579162598, 1.3488142490386963, 1.3446869850158691, 1.3409662246704102, 1.3373498916625977, 1.333827018737793, 1.3303887844085693, 1.3269875049591064, 1.323700189590454, 1.3204803466796875, 1.3173744678497314, 1.3142704963684082, 1.3111228942871094, 1.3081309795379639, 1.305189847946167, 1.3022980690002441, 1.2994558811187744, 1.2966575622558594, 1.29390287399292, 1.2911896705627441, 1.2885162830352783, 1.2859575748443604, 1.2833590507507324, 1.2807695865631104, 1.2782373428344727, 1.275395154953003, 1.2729213237762451, 1.2705209255218506, 1.2681028842926025, 1.2657735347747803, 1.2634057998657227, 1.261061429977417, 1.2585704326629639, 1.2562716007232666, 1.253993034362793, 1.2515947818756104, 1.2493605613708496, 1.2471826076507568, 1.2449901103973389, 1.2428185939788818, 1.2406694889068604, 1.2385427951812744, 1.2359726428985596, 1.2338922023773193, 1.2318360805511475, 1.229720115661621, 1.2278382778167725, 1.2258563041687012, 1.2238998413085938, 1.221968412399292, 1.219966173171997, 1.2179710865020752, 1.2160258293151855, 1.2142035961151123, 1.2124075889587402, 1.2106409072875977, 1.2088992595672607, 1.2071857452392578, 1.2054991722106934, 1.2038393020629883, 1.2022051811218262, 1.2005980014801025, 1.199016809463501, 1.1974616050720215, 1.1959309577941895, 1.1944260597229004, 1.1929473876953125, 1.1914916038513184, 1.1901392936706543, 1.188730239868164, 1.187345266342163, 1.1859796047210693, 1.1846370697021484, 1.1833162307739258, 1.1828038692474365, 1.181532621383667, 1.1803882122039795, 1.1791553497314453, 1.1779417991638184, 1.176746129989624, 1.175569772720337, 1.1744132041931152, 1.1732738018035889, 1.172154188156128, 1.171051263809204, 1.1699669361114502, 1.1688995361328125, 1.167848825454712, 1.1668145656585693, 1.165799856185913, 1.164797306060791, 1.1638102531433105, 1.1628379821777344, 1.161879301071167, 1.1609339714050293, 1.159759759902954, 1.1588385105133057, 1.1579291820526123, 1.1570312976837158, 1.1561434268951416, 1.15537691116333, 1.1545076370239258, 1.1536502838134766, 1.1528003215789795, 1.1519594192504883, 1.1508798599243164, 1.150052785873413, 1.1492335796356201, 1.1484766006469727, 1.1476738452911377, 1.1468777656555176, 1.1460888385772705, 1.1453044414520264, 1.1445286273956299, 1.1437582969665527, 1.1429948806762695, 1.142237663269043, 1.1417787075042725, 1.142211675643921, 1.1414744853973389, 1.1407444477081299, 1.140021562576294, 1.1393048763275146, 1.1387686729431152, 1.1380648612976074, 1.13736891746521, 1.136678695678711, 1.1359951496124268, 1.1353178024291992, 1.1346471309661865, 1.1339831352233887, 1.1333231925964355, 1.1326711177825928, 1.1320233345031738, 1.1313817501068115, 1.1307454109191895, 1.1301155090332031, 1.1294903755187988, 1.1288707256317139, 1.1281969547271729, 1.1275885105133057, 1.1269848346710205, 1.1265053749084473, 1.1259098052978516, 1.125319480895996, 1.124662160873413, 1.124082326889038, 1.1235077381134033, 1.1226794719696045, 1.1221201419830322, 1.1215648651123047, 1.1210131645202637, 1.1203007698059082, 1.119757890701294, 1.1192188262939453, 1.1186847686767578, 1.1182031631469727, 1.1176774501800537, 1.1171560287475586, 1.11663818359375, 1.1161246299743652, 1.1156134605407715, 1.1151063442230225, 1.1146023273468018, 1.1140384674072266, 1.1135427951812744, 1.1130483150482178, 1.1125566959381104, 1.1120679378509521, 1.1115808486938477, 1.1110949516296387, 1.1106431484222412, 1.1101603507995605, 1.1096775531768799, 1.109196424484253, 1.1087148189544678, 1.1082353591918945, 1.1075553894042969, 1.107074499130249, 1.106593370437622, 1.1061115264892578, 1.1056294441223145, 1.105144739151001, 1.104661226272583, 1.1041755676269531, 1.1036887168884277, 1.1032023429870605, 1.1027133464813232, 1.1022231578826904, 1.1017327308654785, 1.1012418270111084, 1.1007492542266846, 1.1002581119537354, 1.0997252464294434, 1.0992333889007568, 1.0987436771392822, 1.098254680633545, 1.0977678298950195, 1.0972819328308105, 1.0967984199523926, 1.0963175296783447, 1.0958397388458252, 1.095365285873413, 1.0948941707611084, 1.0944278240203857, 1.0939643383026123, 1.0934252738952637, 1.0929646492004395, 1.0925114154815674, 1.0921745300292969, 1.0915284156799316, 1.0910911560058594, 1.0906565189361572, 1.0902280807495117, 1.0898067951202393, 1.0893871784210205, 1.088972806930542, 1.0885629653930664, 1.0881562232971191, 1.0877532958984375, 1.0873537063598633, 1.0869131088256836, 1.086517095565796, 1.086122751235962, 1.0857298374176025, 1.085235834121704, 1.0848424434661865, 1.0844497680664062, 1.0840559005737305, 1.0836596488952637, 1.082712173461914, 1.0823125839233398, 1.0819079875946045, 1.08150053024292, 1.081087589263916, 1.080672025680542, 1.0802512168884277, 1.0798261165618896, 1.0793981552124023, 1.0789639949798584, 1.078526258468628, 1.07808256149292, 1.0776336193084717, 1.0771820545196533, 1.076723337173462, 1.076261043548584, 1.075793743133545, 1.0753216743469238, 1.0747227668762207, 1.074296474456787, 1.0738098621368408, 1.0733191967010498, 1.0728251934051514, 1.0723280906677246, 1.0718269348144531, 1.0713212490081787, 1.0708134174346924, 1.0703039169311523, 1.0697910785675049, 1.0692758560180664, 1.0685830116271973, 1.068063497543335, 1.067544937133789, 1.0670249462127686, 1.0665042400360107, 1.0659830570220947, 1.067411184310913, 1.0668940544128418, 1.0663745403289795, 1.0658528804779053, 1.0654127597808838, 1.0648915767669678, 1.0643699169158936, 1.0638477802276611, 1.0633223056793213, 1.063647985458374, 1.0631108283996582, 1.0625691413879395, 1.0620274543762207, 1.0614831447601318, 1.0609338283538818, 1.0603845119476318, 1.0596487522125244, 1.0590975284576416, 1.0585439205169678, 1.0579912662506104, 1.0574333667755127, 1.0568761825561523, 1.0562925338745117], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0014559987466782331, -0.004371970426291227, 0.008515143766999245), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0029287589713931084, -0.0025116880424320698, -0.003979292698204517), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002150541404262185, -0.004072654992341995, 0.005521807819604874), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005176278296858072, -0.011236753314733505, -0.005782046355307102), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0027584838680922985, -0.007508805952966213, 0.002162233227863908), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0027850489132106304, -0.01156619843095541, -0.0002521658898331225), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006889878306537867, -0.006146421190351248, -0.0024517145939171314), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001530935405753553, -0.004868378397077322, -0.004764310084283352), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003632012754678726, -0.014298553578555584, -0.003822608385235071), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.13659344613552094, -0.016657738015055656, 0.023283498361706734), (-0.04478246346116066, -0.03687428683042526, 0.03670576587319374)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=47, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4025620222091675, 2.637441635131836, 23.02962303161621), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.009015152230858803, 5.016604423522949, 23.068660736083984), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4087508916854858, 7.4888458251953125, 23.102766036987305), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.217572212219238, 2.5755441188812256, 23.077659606933594), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.807382106781006, 5.015705585479736, 23.065330505371094), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3774067163467407, 7.458858489990234, 23.057958602905273), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.027365684509277, 2.589470148086548, 23.07485008239746), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.6325836181640625, 4.921968460083008, 23.003551483154297), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.150455474853516, 7.52475118637085, 23.062219619750977), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.259481430053711, 0.0911378338932991, 24.715656280517578), (1.1965657472610474, -0.8577695488929749, 24.976909637451172)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0766546726226807, energy_trajectory=[1.3587844371795654, 1.3526256084442139, 1.345041036605835, 1.3375718593597412, 1.3303513526916504, 1.3232483863830566, 1.3165779113769531, 1.3102142810821533, 1.3040351867675781, 1.2980716228485107, 1.2923059463500977, 1.2867252826690674, 1.2813115119934082, 1.2760605812072754, 1.2709479331970215, 1.266080379486084, 1.2612271308898926, 1.2564904689788818, 1.2518641948699951, 1.2473390102386475, 1.242701530456543, 1.2384727001190186, 1.2342195510864258, 1.2300467491149902, 1.2259550094604492, 1.2219364643096924, 1.2179925441741943, 1.213989496231079, 1.2101829051971436, 1.2064406871795654, 1.2027628421783447, 1.199117660522461, 1.1955630779266357, 1.1920676231384277, 1.1886296272277832, 1.1852474212646484, 1.1819183826446533, 1.1786437034606934, 1.1754226684570312, 1.1722524166107178, 1.169133186340332, 1.1660635471343994, 1.16304349899292, 1.1596577167510986, 1.1567325592041016, 1.153855562210083, 1.1511247158050537, 1.1483891010284424, 1.1456546783447266, 1.142869234085083, 1.1402204036712646, 1.1376290321350098, 1.1351289749145508, 1.1326630115509033, 1.1302690505981445, 1.1279468536376953, 1.125692367553711, 1.1235058307647705, 1.121384859085083, 1.1191434860229492, 1.1169579029083252, 1.115027666091919, 1.1134567260742188, 1.1116509437561035, 1.1099038124084473, 1.1082167625427246, 1.106588363647461, 1.1050169467926025, 1.1035041809082031, 1.1020495891571045, 1.1006526947021484, 1.0993139743804932, 1.0980348587036133, 1.0968143939971924, 1.0955982208251953, 1.094499111175537, 1.093461275100708, 1.0924861431121826, 1.0930750370025635, 1.0922250747680664, 1.0914437770843506, 1.0906078815460205, 1.0897300243377686, 1.0892541408538818, 1.0889310836791992, 1.0884153842926025, 1.0879452228546143, 1.0863206386566162, 1.0859291553497314, 1.0855739116668701, 1.0852932929992676, 1.0851199626922607, 1.084852933883667, 1.084610939025879, 1.084392786026001, 1.0841975212097168, 1.084022045135498, 1.083867073059082, 1.0846612453460693, 1.0844051837921143, 1.0843157768249512, 1.0842418670654297, 1.0841832160949707, 1.0841379165649414, 1.084104299545288, 1.0840826034545898, 1.084071159362793, 1.0840697288513184, 1.08363676071167, 1.0836701393127441, 1.0837092399597168, 1.0837523937225342, 1.0837969779968262, 1.0838429927825928, 1.0838878154754639, 1.0839314460754395, 1.0839734077453613, 1.0840117931365967, 1.0840466022491455, 1.0840768814086914, 1.0841014385223389, 1.084120750427246, 1.084134817123413, 1.0841426849365234, 1.084143877029419, 1.0841403007507324, 1.0841302871704102, 1.0841143131256104, 1.084092140197754, 1.0840635299682617, 1.0840301513671875, 1.083991527557373, 1.083946943283081, 1.0838971138000488, 1.0838418006896973, 1.0836386680603027, 1.083383560180664, 1.0833144187927246, 1.084202527999878, 1.0841238498687744, 1.0840418338775635, 1.0839564800262451, 1.0838685035705566, 1.0837771892547607, 1.083683729171753, 1.0834579467773438, 1.083425521850586, 1.0833258628845215, 1.0835847854614258, 1.0834853649139404, 1.0833847522735596, 1.083282709121704, 1.0829432010650635, 1.0828397274017334, 1.0827345848083496, 1.0826303958892822, 1.0825259685516357, 1.0824222564697266, 1.0823187828063965, 1.0823745727539062, 1.0822713375091553, 1.082080602645874, 1.0819814205169678, 1.0818824768066406, 1.0817861557006836, 1.081691026687622, 1.0815989971160889, 1.0815093517303467, 1.081773042678833, 1.0816774368286133, 1.081585168838501, 1.081496238708496, 1.0814108848571777, 1.081329345703125, 1.081251621246338, 1.0811784267425537, 1.0811100006103516, 1.0810441970825195, 1.081437110900879, 1.0813825130462646, 1.081151008605957, 1.0811035633087158, 1.0810604095458984, 1.0810208320617676, 1.0809862613677979, 1.0809550285339355, 1.0807795524597168, 1.080756664276123, 1.080735206604004, 1.0807178020477295, 1.0807044506072998, 1.0806941986083984, 1.0806856155395508, 1.0806810855865479, 1.0801177024841309, 1.0801191329956055, 1.0801231861114502, 1.0801305770874023, 1.0801410675048828, 1.0801539421081543, 1.0801713466644287, 1.0801904201507568, 1.0802128314971924, 1.078890085220337, 1.0789129734039307, 1.0789391994476318, 1.0789673328399658, 1.0789988040924072, 1.0790321826934814, 1.0790691375732422, 1.0791068077087402, 1.0791468620300293, 1.0791890621185303, 1.0794587135314941, 1.0795049667358398, 1.0795526504516602, 1.0796012878417969, 1.07965087890625, 1.0797016620635986, 1.0797531604766846, 1.0798053741455078, 1.079857587814331, 1.0799098014831543, 1.0799615383148193, 1.0800137519836426, 1.0800652503967285, 1.0801162719726562, 1.080167293548584, 1.0801007747650146, 1.080150842666626, 1.080199956893921, 1.0802481174468994, 1.0802946090698242, 1.0803413391113281, 1.0803859233856201, 1.0804288387298584, 1.080470323562622, 1.080509901046753, 1.080549716949463, 1.0805597305297852, 1.0805959701538086, 1.080141544342041, 1.080174446105957, 1.080204725265503, 1.0802338123321533, 1.079935073852539, 1.0799603462219238, 1.0799832344055176, 1.0800049304962158, 1.0800237655639648, 1.0800416469573975, 1.0800580978393555, 1.0804436206817627, 1.0804553031921387, 1.0804667472839355, 1.0803313255310059, 1.0803391933441162, 1.0811429023742676, 1.0811479091644287, 1.0811328887939453, 1.0811340808868408, 1.0811326503753662, 1.0809874534606934, 1.080803632736206, 1.0807971954345703, 1.0807888507843018, 1.0807771682739258, 1.0807437896728516, 1.080725908279419, 1.080704927444458, 1.0806794166564941, 1.0806262493133545, 1.0802173614501953, 1.0801825523376465, 1.0801420211791992, 1.0800952911376953, 1.0800437927246094, 1.079986810684204, 1.0799212455749512, 1.0798239707946777, 1.0797486305236816, 1.0796658992767334, 1.079578161239624, 1.079270362854004, 1.0794265270233154, 1.0793161392211914, 1.0791993141174316, 1.0790770053863525, 1.0789484977722168, 1.0782523155212402, 1.0783476829528809, 1.078197717666626, 1.078040361404419, 1.0778732299804688, 1.0776948928833008, 1.077507495880127, 1.0773100852966309, 1.077101230621338, 1.07688307762146, 1.0766546726226807], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008582904003560543, 0.007969626225531101, -0.01580478437244892), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014325830154120922, -0.019501453265547752, 0.01012454554438591), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.033751241862773895, 0.011653400026261806, 0.013959802687168121), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005649654194712639, -0.017311953008174896, 0.020126640796661377), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0015990891261026263, -0.01906978338956833, 0.015115324407815933), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012765435501933098, -0.03239936754107475, 0.0075944215059280396), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00602633785456419, -0.026911230757832527, 0.021688777953386307), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00852951966226101, -0.04548487812280655, -0.005529346410185099), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006808857899159193, -0.021964797750115395, 0.03909081965684891), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.05535396561026573, -0.04098834842443466, -0.016281483694911003), (0.09997453540563583, 0.001113984500989318, 0.14821705222129822)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=48, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.439680576324463, 2.4423389434814453, 23.05963134765625), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.03540727123618126, 4.88532018661499, 23.072935104370117), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3816131353378296, 7.320934295654297, 23.053861618041992), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.278589725494385, 2.443513870239258, 23.168590545654297), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.840747594833374, 4.896971702575684, 23.047237396240234), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4505964517593384, 7.306849479675293, 23.04792594909668), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.121578693389893, 2.4394617080688477, 23.034465789794922), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.692232131958008, 4.910193920135498, 23.04071807861328), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.266776084899902, 7.3273024559021, 23.067995071411133), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (4.570921897888184, 2.574241876602173, 25.14866828918457), (3.802036762237549, 3.0278353691101074, 25.55388069152832)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0198321342468262, energy_trajectory=[1.6198859214782715, 1.6130447387695312, 1.6066257953643799, 1.6003022193908691, 1.5940823554992676, 1.5879631042480469, 1.5819885730743408, 1.5760602951049805, 1.5702204704284668, 1.5644586086273193, 1.5589823722839355, 1.5533661842346191, 1.5478205680847168, 1.5422742366790771, 1.5368468761444092, 1.5314795970916748, 1.5261669158935547, 1.5209078788757324, 1.5160713195800781, 1.510918378829956, 1.505812644958496, 1.5007531642913818, 1.4957399368286133, 1.490771770477295, 1.4858462810516357, 1.4809656143188477, 1.4761285781860352, 1.4713332653045654, 1.4665756225585938, 1.4618606567382812, 1.4571855068206787, 1.4525117874145508, 1.4479153156280518, 1.4433588981628418, 1.4388396739959717, 1.4350051879882812, 1.4305751323699951, 1.4261765480041504, 1.42181396484375, 1.4174888134002686, 1.413196325302124, 1.4089410305023193, 1.4048094749450684, 1.4002177715301514, 1.3960628509521484, 1.39204740524292, 1.3879659175872803, 1.3839192390441895, 1.3799066543579102, 1.376068353652954, 1.3721237182617188, 1.3682105541229248, 1.3643290996551514, 1.3604788780212402, 1.356661081314087, 1.3528709411621094, 1.3491125106811523, 1.3453850746154785, 1.341688871383667, 1.3380217552185059, 1.3343849182128906, 1.3305702209472656, 1.3269925117492676, 1.3234436511993408, 1.3199248313903809, 1.3164348602294922, 1.312974214553833, 1.309541940689087, 1.306138038635254, 1.3027634620666504, 1.29941725730896, 1.2960991859436035, 1.2928087711334229, 1.2895495891571045, 1.2863168716430664, 1.283111333847046, 1.2799346446990967, 1.276785135269165, 1.273664951324463, 1.2705729007720947, 1.2675063610076904, 1.2644703388214111, 1.261460542678833, 1.2584774494171143, 1.2555232048034668, 1.2525947093963623, 1.2498056888580322, 1.2470157146453857, 1.244166612625122, 1.241344690322876, 1.2385470867156982, 1.2357771396636963, 1.2331929206848145, 1.2304761409759521, 1.2278573513031006, 1.2251911163330078, 1.2225487232208252, 1.2199316024780273, 1.2174534797668457, 1.2148845195770264, 1.2123405933380127, 1.2098181247711182, 1.2073192596435547, 1.204843282699585, 1.2023890018463135, 1.199958324432373, 1.1970412731170654, 1.1946322917938232, 1.1922705173492432, 1.1899299621582031, 1.187610387802124, 1.1853110790252686, 1.183032751083374, 1.1807756423950195, 1.1785376071929932, 1.176332950592041, 1.1741359233856201, 1.1719603538513184, 1.1698052883148193, 1.1676702499389648, 1.1655561923980713, 1.163543939590454, 1.1614699363708496, 1.1594157218933105, 1.1573834419250488, 1.1553709506988525, 1.1535837650299072, 1.151613712310791, 1.1496655941009521, 1.1477382183074951, 1.1456687450408936, 1.1437840461730957, 1.1419200897216797, 1.1400830745697021, 1.1382148265838623, 1.1364414691925049, 1.1346991062164307, 1.1337156295776367, 1.132049322128296, 1.1302447319030762, 1.1286396980285645, 1.1270999908447266, 1.1255509853363037, 1.1240289211273193, 1.122532606124878, 1.1210615634918213, 1.119446039199829, 1.1180238723754883, 1.1166250705718994, 1.1152493953704834, 1.113896131515503, 1.1143162250518799, 1.1130025386810303, 1.111715316772461, 1.1104495525360107, 1.1092031002044678, 1.1079773902893066, 1.1067163944244385, 1.1055278778076172, 1.1043586730957031, 1.1032085418701172, 1.102095127105713, 1.1009812355041504, 1.0998849868774414, 1.0987608432769775, 1.095578908920288, 1.0945305824279785, 1.0935018062591553, 1.0924372673034668, 1.0914428234100342, 1.0904650688171387, 1.0895037651062012, 1.0885593891143799, 1.0876312255859375, 1.0867183208465576, 1.0858216285705566, 1.0849394798278809, 1.0840721130371094, 1.0832180976867676, 1.0823783874511719, 1.0815517902374268, 1.080737590789795, 1.079935073852539, 1.0791444778442383, 1.0783636569976807, 1.0775935649871826, 1.0768322944641113, 1.076080083847046, 1.0753369331359863, 1.0746009349822998, 1.0738716125488281, 1.0731489658355713, 1.072432518005371, 1.071749210357666, 1.071042776107788, 1.0703418254852295, 1.069643497467041, 1.0688872337341309, 1.068195104598999, 1.0675065517425537, 1.0668203830718994, 1.0663368701934814, 1.0656583309173584, 1.064983606338501, 1.0643105506896973, 1.0636398792266846, 1.062972068786621, 1.0623071193695068, 1.0616450309753418, 1.0609850883483887, 1.0603291988372803, 1.0596766471862793, 1.0590264797210693, 1.0583810806274414, 1.057739019393921, 1.057100534439087, 1.0564665794372559, 1.0558383464813232, 1.0552141666412354, 1.0545954704284668, 1.0539815425872803, 1.0533740520477295, 1.0527703762054443, 1.0521740913391113, 1.0515823364257812, 1.0509965419769287, 1.050417184829712, 1.0498440265655518, 1.0492761135101318, 1.0487151145935059, 1.0481603145599365, 1.0476102828979492, 1.0470664501190186, 1.0465285778045654, 1.0459952354431152, 1.0454673767089844, 1.044945240020752, 1.044461727142334, 1.0439481735229492, 1.0434386730194092, 1.042933464050293, 1.0424330234527588, 1.0419363975524902, 1.0414438247680664, 1.040954828262329, 1.0404696464538574, 1.0399885177612305, 1.0395095348358154, 1.0390360355377197, 1.0385634899139404, 1.0380959510803223, 1.0376312732696533, 1.0371699333190918, 1.0367136001586914, 1.0362603664398193, 1.0352020263671875, 1.034759521484375, 1.0343189239501953, 1.0338821411132812, 1.03377103805542, 1.033341884613037, 1.0329160690307617, 1.032381534576416, 1.0319647789001465, 1.0315523147583008, 1.0307297706604004, 1.0302979946136475, 1.0297999382019043, 1.0293762683868408, 1.0289595127105713, 1.028548002243042, 1.0281436443328857, 1.027745246887207, 1.0273525714874268, 1.0269672870635986, 1.0265874862670898, 1.026214838027954, 1.0261542797088623, 1.025792121887207, 1.0254368782043457, 1.0250868797302246, 1.0247406959533691, 1.0244016647338867, 1.0239753723144531, 1.023641586303711, 1.023313045501709, 1.0229883193969727, 1.0231499671936035, 1.0228338241577148, 1.022658348083496, 1.0223474502563477, 1.0220394134521484, 1.0217320919036865, 1.0216920375823975, 1.021371841430664, 1.0210533142089844, 1.0207364559173584, 1.0204205513000488, 1.0201058387756348, 1.0198321342468262], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004253205377608538, 0.003196375211700797, -0.013317720033228397), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004990357905626297, 0.0010522996308282018, -0.012725826352834702), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001513504539616406, 0.002227987628430128, -0.01144408155232668), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01856212690472603, 0.011041451245546341, 0.0022728999610990286), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004757660441100597, -0.0024421336129307747, -0.0016376395942643285), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005574456416070461, 0.014162732288241386, -0.009355253539979458), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.030564311891794205, 0.00737026147544384, 0.014468789100646973), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011831612326204777, -0.012412319891154766, 0.0018994779093191028), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0038932915776968002, 0.004046155605465174, -0.012015108950436115), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0636918693780899, -0.06965436786413193, 0.019358813762664795), (-0.04243196174502373, -0.0033978058490902185, -0.11501923203468323)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=49, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.327138066291809, 2.4415276050567627, 23.0454044342041), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.05891657993197441, 4.851515293121338, 23.055265426635742), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.491639256477356, 7.27842903137207, 23.110187530517578), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.197798728942871, 2.441392421722412, 23.02854347229004), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.7563838958740234, 4.860254287719727, 23.06816864013672), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3576914072036743, 7.303523540496826, 23.057649612426758), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (6.9921464920043945, 2.4142041206359863, 23.078096389770508), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.572562217712402, 4.839020729064941, 23.05813980102539), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.131710052490234, 7.296241760253906, 23.04025650024414), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (2.5130512714385986, 0.42645081877708435, 25.04550552368164), (3.292567491531372, 0.9867013692855835, 25.25187873840332)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0542247295379639, energy_trajectory=[1.3529410362243652, 1.3457846641540527, 1.3383615016937256, 1.331437110900879, 1.3242528438568115, 1.3171319961547852, 1.3100645542144775, 1.3033459186553955, 1.296929121017456, 1.2907826900482178, 1.2848832607269287, 1.2792131900787354, 1.2737534046173096, 1.2685606479644775, 1.263476848602295, 1.258465051651001, 1.253718376159668, 1.2490906715393066, 1.2446484565734863, 1.2402534484863281, 1.2360775470733643, 1.2320256233215332, 1.2280941009521484, 1.2242777347564697, 1.2205708026885986, 1.2169711589813232, 1.213475227355957, 1.2100768089294434, 1.2067360877990723, 1.2027888298034668, 1.1996922492980957, 1.1965644359588623, 1.1936414241790771, 1.190800428390503, 1.188040018081665, 1.1853594779968262, 1.1827342510223389, 1.1798055171966553, 1.1773512363433838, 1.175027847290039, 1.1727173328399658, 1.1704764366149902, 1.1683025360107422, 1.1661961078643799, 1.164153814315796, 1.1621732711791992, 1.1602537631988525, 1.1583943367004395, 1.1565921306610107, 1.1548473834991455, 1.1531591415405273, 1.151524305343628, 1.1499416828155518, 1.148411512374878, 1.1469316482543945, 1.1455004215240479, 1.144118070602417, 1.1427819728851318, 1.1414921283721924, 1.140043020248413, 1.1388428211212158, 1.1376841068267822, 1.1365680694580078, 1.1354928016662598, 1.1344571113586426, 1.1334588527679443, 1.1324989795684814, 1.1315741539001465, 1.1306862831115723, 1.1298315525054932, 1.129012107849121, 1.1282241344451904, 1.1274693012237549, 1.1267452239990234, 1.125981330871582, 1.1253161430358887, 1.124678611755371, 1.1240692138671875, 1.1234862804412842, 1.1229288578033447, 1.1223969459533691, 1.1218888759613037, 1.121403455734253, 1.1208159923553467, 1.1204140186309814, 1.1199922561645508, 1.119356393814087, 1.1189711093902588, 1.118652582168579, 1.1181550025939941, 1.1178157329559326, 1.117490530014038, 1.1171767711639404, 1.1168744564056396, 1.1165812015533447, 1.1162972450256348, 1.1160211563110352, 1.1157522201538086, 1.115490198135376, 1.1152350902557373, 1.115053415298462, 1.114811658859253, 1.1145787239074707, 1.1143550872802734, 1.1141409873962402, 1.113938808441162, 1.1137492656707764, 1.1135728359222412, 1.1134116649627686, 1.113265037536621, 1.113133192062378, 1.1130168437957764, 1.1129131317138672, 1.112450361251831, 1.112363576889038, 1.1122839450836182, 1.1122064590454102, 1.1121301651000977, 1.1120538711547852, 1.1119744777679443, 1.1118910312652588, 1.1118049621582031, 1.1117136478424072, 1.1116163730621338, 1.1119344234466553, 1.1118206977844238, 1.1117033958435059, 1.1115822792053223, 1.1114566326141357, 1.1113033294677734, 1.1110129356384277, 1.1108784675598145, 1.110628604888916, 1.110485315322876, 1.1103389263153076, 1.1101880073547363, 1.1100330352783203, 1.1098737716674805, 1.1095423698425293, 1.1093723773956299, 1.1091978549957275, 1.1090190410614014, 1.1088345050811768, 1.1073415279388428, 1.1071538925170898, 1.1068944931030273, 1.1066551208496094, 1.1064560413360596, 1.1062517166137695, 1.1060433387756348, 1.10589599609375, 1.1056792736053467, 1.1054575443267822, 1.1052312850952148, 1.1050007343292236, 1.1047658920288086, 1.1049973964691162, 1.1047508716583252, 1.104501485824585, 1.1040332317352295, 1.1035189628601074, 1.1032638549804688, 1.1030073165893555, 1.102750301361084, 1.1024913787841797, 1.102219820022583, 1.1020183563232422, 1.1020522117614746, 1.101789951324463, 1.1015281677246094, 1.1012659072875977, 1.1010024547576904, 1.1007392406463623, 1.1004517078399658, 1.100186824798584, 1.0999207496643066, 1.0996551513671875, 1.0993883609771729, 1.0990550518035889, 1.09885573387146, 1.0986711978912354, 1.0983989238739014, 1.0981261730194092, 1.0978515148162842, 1.0975754261016846, 1.0972979068756104, 1.0970187187194824, 1.0967369079589844, 1.0964534282684326, 1.0961685180664062, 1.0957002639770508, 1.095409870147705, 1.0951452255249023, 1.0948476791381836, 1.0945470333099365, 1.094243049621582, 1.0939357280731201, 1.0933363437652588, 1.0930213928222656, 1.0927035808563232, 1.0923821926116943, 1.0919644832611084, 1.09163498878479, 1.0913021564483643, 1.090965986251831, 1.0906248092651367, 1.0902793407440186, 1.0899310111999512, 1.0895071029663086, 1.0891504287719727, 1.0887854099273682, 1.0884208679199219, 1.0880534648895264, 1.0876812934875488, 1.087592363357544, 1.0877277851104736, 1.0873429775238037, 1.086956262588501, 1.0865662097930908, 1.0862720012664795, 1.0858747959136963, 1.0854763984680176, 1.0850744247436523, 1.0844204425811768, 1.0840139389038086, 1.0836052894592285, 1.0831947326660156, 1.0827815532684326, 1.0823676586151123, 1.0819511413574219, 1.081533432006836, 1.0811152458190918, 1.0806958675384521, 1.0802748203277588, 1.0795481204986572, 1.0791053771972656, 1.078683614730835, 1.0782620906829834, 1.0778398513793945, 1.0774168968200684, 1.0769939422607422, 1.0765714645385742, 1.076148271560669, 1.0757248401641846, 1.0753023624420166, 1.0748405456542969, 1.0744214057922363, 1.0740015506744385, 1.0735831260681152, 1.073164939880371, 1.072746992111206, 1.0723285675048828, 1.0719115734100342, 1.0714943408966064, 1.0710768699645996, 1.0707101821899414, 1.0702931880950928, 1.0698754787445068, 1.0694572925567627, 1.0690367221832275, 1.0684340000152588, 1.068011999130249, 1.0675883293151855, 1.0671632289886475, 1.0667343139648438, 1.066216230392456, 1.0657808780670166, 1.0653433799743652, 1.0649027824401855, 1.0644595623016357, 1.0640122890472412, 1.0638611316680908, 1.0634047985076904, 1.062946081161499, 1.0624842643737793, 1.0620932579040527, 1.0616254806518555, 1.061152458190918, 1.0606770515441895, 1.06019926071167, 1.0597186088562012, 1.059236764907837, 1.0587518215179443, 1.0582656860351562, 1.05777907371521, 1.05729079246521, 1.0591599941253662, 1.058638334274292, 1.0581161975860596, 1.0575969219207764, 1.0587821006774902, 1.0582399368286133, 1.0576987266540527, 1.057159662246704, 1.0566205978393555, 1.0560839176177979, 1.0555479526519775, 1.055295705795288, 1.0547599792480469, 1.0542247295379639], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02245800755918026, 0.005411914084106684, -0.007089616265147924), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011449615471065044, 0.01270324271172285, -0.012078239582479), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.027410581707954407, 0.052964165806770325, 0.020829997956752777), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001166925998404622, 0.00016536419570911676, 0.01263220515102148), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.017910709604620934, 0.010550413280725479, -0.008200451731681824), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.020605433732271194, 0.006686641369014978, -0.010498660616576672), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013839200139045715, 0.00994684174656868, -0.017438767477869987), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.019877765327692032, 0.018526175990700722, -0.013213627971708775), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.03286915272474289, 0.012690523639321327, -0.0006663777166977525), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.06969255208969116, -0.09381464868783951, 0.05498787760734558), (-0.00733987707644701, -0.02848980203270912, 0.11611606180667877)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=50, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.501202940940857, 2.3770065307617188, 23.09075164794922), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (0.10607258975505829, 4.762169361114502, 23.0981502532959), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4084001779556274, 7.324697017669678, 22.995792388916016), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.3184919357299805, 2.3854377269744873, 23.071117401123047), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.9753541946411133, 4.792265892028809, 23.025779724121094), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.5542073249816895, 7.287205696105957, 23.105234146118164), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.1348466873168945, 2.384361743927002, 23.062477111816406), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.730276584625244, 4.830049514770508, 23.069297790527344), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.326181411743164, 7.273458003997803, 23.09050941467285), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (0.6341111063957214, 6.121305465698242, 24.731775283813477), (1.4015783071517944, 5.693787097930908, 25.173490524291992)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0804238319396973, energy_trajectory=[1.731658697128296, 1.7192573547363281, 1.7100558280944824, 1.7003819942474365, 1.692131757736206, 1.6835644245147705, 1.6753084659576416, 1.66750168800354, 1.6597621440887451, 1.652172565460205, 1.644909143447876, 1.6377308368682861, 1.6307029724121094, 1.623535394668579, 1.6163790225982666, 1.609715461730957, 1.6031513214111328, 1.5967116355895996, 1.5903222560882568, 1.5840098857879639, 1.577773094177246, 1.5715947151184082, 1.5654926300048828, 1.5596013069152832, 1.5536234378814697, 1.5477991104125977, 1.5419299602508545, 1.5361135005950928, 1.5303480625152588, 1.5245749950408936, 1.5189063549041748, 1.513282299041748, 1.5077025890350342, 1.502047061920166, 1.4965591430664062, 1.4911117553710938, 1.4854509830474854, 1.4800806045532227, 1.4747517108917236, 1.4694597721099854, 1.4639785289764404, 1.458763837814331, 1.4537389278411865, 1.4485838413238525, 1.4430959224700928, 1.4378252029418945, 1.4327762126922607, 1.4277617931365967, 1.4227871894836426, 1.417952060699463, 1.4133429527282715, 1.408468246459961, 1.4036281108856201, 1.3988244533538818, 1.3940556049346924, 1.389322280883789, 1.3846228122711182, 1.3799598217010498, 1.3753314018249512, 1.3707396984100342, 1.366185188293457, 1.3616671562194824, 1.35715913772583, 1.3527169227600098, 1.3483142852783203, 1.343954086303711, 1.3396356105804443, 1.3353586196899414, 1.3311259746551514, 1.3269398212432861, 1.3227956295013428, 1.3186984062194824, 1.314645528793335, 1.310640811920166, 1.306680679321289, 1.3026835918426514, 1.2988197803497314, 1.2950012683868408, 1.291229486465454, 1.2875022888183594, 1.2838187217712402, 1.2801780700683594, 1.2765798568725586, 1.2730252742767334, 1.2694649696350098, 1.2659928798675537, 1.262563943862915, 1.259110689163208, 1.2557647228240967, 1.2524893283843994, 1.2492260932922363, 1.2460072040557861, 1.2428064346313477, 1.2396745681762695, 1.2365851402282715, 1.2335395812988281, 1.2305412292480469, 1.2275869846343994, 1.2246785163879395, 1.221815824508667, 1.2190003395080566, 1.216230869293213, 1.213508129119873, 1.2108311653137207, 1.2082009315490723, 1.205615520477295, 1.2030770778656006, 1.20058274269104, 1.1981523036956787, 1.1958668231964111, 1.1937427520751953, 1.1914913654327393, 1.189293384552002, 1.1871466636657715, 1.1846985816955566, 1.1826496124267578, 1.1806468963623047, 1.1786885261535645, 1.1767733097076416, 1.1748948097229004, 1.1730647087097168, 1.171273946762085, 1.1695208549499512, 1.1678049564361572, 1.1663193702697754, 1.1646764278411865, 1.1630680561065674, 1.1614930629730225, 1.1599514484405518, 1.158442735671997, 1.1569664478302002, 1.1555194854736328, 1.1541049480438232, 1.1527197360992432, 1.1513638496398926, 1.150038719177246, 1.1487386226654053, 1.1474685668945312, 1.1462252140045166, 1.1449110507965088, 1.1437201499938965, 1.1425533294677734, 1.1414117813110352, 1.1402175426483154, 1.139122724533081, 1.1380529403686523, 1.1370055675506592, 1.1365668773651123, 1.1354594230651855, 1.1344733238220215, 1.1334092617034912, 1.1324641704559326, 1.1315357685089111, 1.1306264400482178, 1.129732608795166, 1.1288580894470215, 1.1280004978179932, 1.1271567344665527, 1.1264173984527588, 1.1256046295166016, 1.1248056888580322, 1.1240220069885254, 1.1232504844665527, 1.1224932670593262, 1.121748924255371, 1.121016502380371, 1.1202969551086426, 1.1195886135101318, 1.1188900470733643, 1.1183736324310303, 1.1176958084106445, 1.1170291900634766, 1.1163702011108398, 1.1157221794128418, 1.1150827407836914, 1.1147394180297852, 1.1141176223754883, 1.1135046482086182, 1.112900733947754, 1.1121704578399658, 1.1115829944610596, 1.1110053062438965, 1.1104333400726318, 1.1098692417144775, 1.1093122959136963, 1.1087620258331299, 1.1082191467285156, 1.107682228088379, 1.1069538593292236, 1.106426477432251, 1.1059041023254395, 1.1048130989074707, 1.1043317317962646, 1.1038928031921387, 1.1034235954284668, 1.1029603481292725, 1.1025021076202393, 1.1020493507385254, 1.1016030311584473, 1.1011607646942139, 1.100724458694458, 1.100294828414917, 1.0998694896697998, 1.0994491577148438, 1.0977375507354736, 1.0973551273345947, 1.0969774723052979, 1.0966029167175293, 1.0962352752685547, 1.0958707332611084, 1.0955123901367188, 1.0951588153839111, 1.0948097705841064, 1.0944647789001465, 1.0941252708435059, 1.0937902927398682, 1.0934603214263916, 1.0931334495544434, 1.092813491821289, 1.0924980640411377, 1.092186450958252, 1.0917561054229736, 1.0914554595947266, 1.0911598205566406, 1.0908684730529785, 1.0905826091766357, 1.0903024673461914, 1.0900261402130127, 1.0897533893585205, 1.0894877910614014, 1.089226245880127, 1.0889697074890137, 1.0887174606323242, 1.0884716510772705, 1.0882298946380615, 1.0879926681518555, 1.0876781940460205, 1.0874512195587158, 1.0873908996582031, 1.0871715545654297, 1.0869569778442383, 1.0867455005645752, 1.086538314819336, 1.0863335132598877, 1.0861330032348633, 1.0859339237213135, 1.0857408046722412, 1.085547685623169, 1.0853583812713623, 1.0851709842681885, 1.0849878787994385, 1.0848064422607422, 1.0846271514892578, 1.0844502449035645, 1.0842769145965576, 1.084106206893921, 1.0839357376098633, 1.0837674140930176, 1.0836033821105957, 1.0834405422210693, 1.0832808017730713, 1.0831239223480225, 1.0829694271087646, 1.082817554473877, 1.0826709270477295, 1.0825252532958984, 1.082383155822754, 1.0822458267211914, 1.08211088180542, 1.081979513168335, 1.0818531513214111, 1.0817296504974365, 1.0816113948822021, 1.0814979076385498, 1.0813877582550049, 1.081282377243042, 1.081181526184082, 1.0810859203338623, 1.0809948444366455, 1.0807690620422363, 1.0806853771209717, 1.0806071758270264, 1.0805346965789795, 1.08046555519104, 1.0804011821746826, 1.0803415775299072, 1.0802853107452393, 1.0802326202392578, 1.0801844596862793, 1.0801382064819336, 1.0800983905792236, 1.0800609588623047, 1.0800285339355469, 1.07999849319458, 1.0799717903137207, 1.0799496173858643, 1.080204725265503, 1.0801849365234375, 1.0804424285888672, 1.0804238319396973], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010874531231820583, 0.016904205083847046, -0.011920038610696793), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010393255390226841, 0.033434320241212845, -0.011984158307313919), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0053646801970899105, -0.002115353476256132, 0.009269011206924915), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009940083138644695, 0.01300626527518034, -0.012390832416713238), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05091727152466774, 0.03193848952651024, 0.02217436395585537), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02701740525662899, -0.0001668888726271689, -0.016879400238394737), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005212224088609219, 0.010587923228740692, -0.010995479300618172), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011708544567227364, 0.006608820054680109, -0.012484085746109486), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01546277105808258, 0.005973900202661753, -0.011692487634718418), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.07254795730113983, -0.012264610268175602, -0.06757237017154694), (-0.01290240790694952, -0.009950431995093822, 0.021152231842279434)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=51, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3989932537078857, 2.4324429035186768, 23.034420013427734), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.011944610625505447, 4.899343490600586, 23.045148849487305), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4098353385925293, 7.339889049530029, 23.059598922729492), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.245728969573975, 2.4314749240875244, 23.03217315673828), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.8228185176849365, 4.906407833099365, 23.15971565246582), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.4064035415649414, 7.346510410308838, 23.055397033691406), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.054318428039551, 2.4518396854400635, 23.05729103088379), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.660943508148193, 4.899743556976318, 23.043066024780273), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.237668991088867, 7.347500801086426, 23.05368423461914), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (2.8571972846984863, 4.565206050872803, 25.137069702148438), (2.7832751274108887, 5.418173313140869, 25.612247467041016)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0143849849700928, energy_trajectory=[1.233776569366455, 1.2239353656768799, 1.2172794342041016, 1.2105166912078857, 1.2041985988616943, 1.197922706604004, 1.1917104721069336, 1.185652732849121, 1.1795275211334229, 1.173447847366333, 1.167421579360962, 1.1614513397216797, 1.155432939529419, 1.1495881080627441, 1.1438109874725342, 1.1381068229675293, 1.1324741840362549, 1.1269171237945557, 1.121438980102539, 1.1160364151000977, 1.110710620880127, 1.105461597442627, 1.1002914905548096, 1.095198154449463, 1.0901823043823242, 1.0852415561676025, 1.0803842544555664, 1.0757169723510742, 1.0712273120880127, 1.066908836364746, 1.0627520084381104, 1.0585618019104004, 1.0546691417694092, 1.0509636402130127, 1.0474376678466797, 1.044011116027832, 1.040724277496338, 1.0375730991363525, 1.0345573425292969, 1.0316753387451172, 1.028925895690918, 1.0263288021087646, 1.0238523483276367, 1.0215070247650146, 1.019294023513794, 1.0172126293182373, 1.0152628421783447, 1.013441801071167, 1.0117464065551758, 1.010087490081787, 1.0086350440979004, 1.007373571395874, 1.0061466693878174, 1.005028486251831, 1.0040147304534912, 1.0031027793884277, 1.0022501945495605, 1.0015370845794678, 1.000925064086914, 1.0004692077636719, 1.0000643730163574, 0.9997662901878357, 0.9995712637901306, 0.9994733929634094, 0.9994500279426575, 0.999491274356842, 0.9995747208595276, 0.9996808171272278, 0.9998039603233337, 0.9999502301216125, 1.0001308917999268, 1.0003845691680908, 1.000643253326416, 1.0009357929229736, 1.0012531280517578, 1.0015864372253418, 1.001915693283081, 1.0021874904632568, 1.002573013305664, 1.0029792785644531, 1.0034005641937256, 1.0038328170776367, 1.004389762878418, 1.0048232078552246, 1.0052495002746582, 1.0056631565093994, 1.00606107711792, 1.0064396858215332, 1.0067977905273438, 1.0071320533752441, 1.0074429512023926, 1.0077180862426758, 1.0078742504119873, 1.0081043243408203, 1.0083339214324951, 1.0085124969482422, 1.0086638927459717, 1.0087950229644775, 1.0088496208190918, 1.008927345275879, 1.00826096534729, 1.0087320804595947, 1.0087392330169678, 1.008725643157959, 1.0086860656738281, 1.0087218284606934, 1.008650779724121, 1.0085618495941162, 1.008458137512207, 1.0083401203155518, 1.0082201957702637, 1.0080742835998535, 1.0079150199890137, 1.0077455043792725, 1.0075654983520508, 1.0073742866516113, 1.007176160812378, 1.0069692134857178, 1.0067546367645264, 1.0065348148345947, 1.0063095092773438, 1.0060625076293945, 1.0058283805847168, 1.0055344104766846, 1.0052614212036133, 1.0054492950439453, 1.0052032470703125, 1.0049564838409424, 1.0047106742858887, 1.0044646263122559, 1.004220724105835, 1.0039780139923096, 1.003737449645996, 1.0033447742462158, 1.0031085014343262, 1.0028741359710693, 1.0026428699493408, 1.0024151802062988, 1.002190351486206, 1.0019690990447998, 1.0017521381378174, 1.0015385150909424, 1.001279592514038, 1.0010740756988525, 1.0008721351623535, 1.0005061626434326, 1.0003130435943604, 1.000124216079712, 0.9999404549598694, 0.9997605681419373, 0.999584972858429, 0.9994139075279236, 0.999247133731842, 0.9990844130516052, 0.9989251494407654, 0.9986583590507507, 0.9985068440437317, 0.9983592629432678, 0.9981420636177063, 0.9980033040046692, 0.9978674054145813, 0.9977344870567322, 0.9976057410240173, 0.9974798560142517, 0.9970139861106873, 0.9968919157981873, 0.9967724680900574, 0.9966564774513245, 0.9965428709983826, 0.9964330792427063, 0.9963260293006897, 0.9962218403816223, 0.9961206316947937, 0.9960218071937561, 0.9959264397621155, 0.9958954453468323, 0.995806872844696, 0.9957208037376404, 0.995638906955719, 0.9955597519874573, 0.9954841732978821, 0.9954113364219666, 0.9953425526618958, 0.9952765107154846, 0.9952138066291809, 0.9951558709144592, 0.9951128363609314, 0.9950633645057678, 0.9950184226036072, 0.994976818561554, 0.9949384331703186, 0.9949062466621399, 0.9948779940605164, 0.9948083758354187, 0.9947901368141174, 0.9947771430015564, 0.9947691559791565, 0.9947661757469177, 0.9947687983512878, 0.994777500629425, 0.9947910904884338, 0.9948095679283142, 0.994755208492279, 0.9946935772895813, 0.9947298169136047, 0.994772732257843, 0.994822084903717, 0.9948775172233582, 0.9949384331703186, 0.9950055480003357, 0.9950773119926453, 0.9951556324958801, 0.9952390789985657, 0.9953277707099915, 0.995421826839447, 0.9955206513404846, 0.9958177208900452, 0.9957894682884216, 0.9959010481834412, 0.9960182309150696, 0.9961389899253845, 0.9962649941444397, 0.9963957667350769, 0.9965295195579529, 0.996667206287384, 0.9968077540397644, 0.996333658695221, 0.9964826703071594, 0.9966351389884949, 0.9967909455299377, 0.9968693852424622, 0.9970303177833557, 0.9971939921379089, 0.9973617196083069, 0.9975300431251526, 0.9977007508277893, 0.9978733658790588, 0.998047411441803, 0.9982227683067322, 0.998399555683136, 0.9985777735710144, 0.9987573027610779, 0.9989383816719055, 0.9991200566291809, 0.9993038773536682, 0.9994887709617615, 0.9996758103370667, 0.9998645186424255, 1.0000545978546143, 1.000241756439209, 1.0004348754882812, 1.0006294250488281, 1.0008270740509033, 1.0010254383087158, 1.0012247562408447, 1.0014283657073975, 1.0016329288482666, 1.0018396377563477, 1.0020487308502197, 1.0022602081298828, 1.0024738311767578, 1.0025525093078613, 1.0027658939361572, 1.0029842853546143, 1.003204107284546, 1.0034277439117432, 1.0036535263061523, 1.0038819313049316, 1.0041139125823975, 1.0040717124938965, 1.004310131072998, 1.0045502185821533, 1.0047938823699951, 1.0050389766693115, 1.0052878856658936, 1.0055389404296875, 1.0058536529541016, 1.0061097145080566, 1.0063683986663818, 1.0069377422332764, 1.007202386856079, 1.0074710845947266, 1.0078458786010742, 1.0081210136413574, 1.0085492134094238, 1.008831262588501, 1.0095186233520508, 1.0098106861114502, 1.010000467300415, 1.0103983879089355, 1.010761022567749, 1.0110771656036377, 1.0113987922668457, 1.0118536949157715, 1.0123682022094727, 1.0127143859863281, 1.0132133960723877, 1.0135760307312012, 1.0140724182128906, 1.0143849849700928], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0006066107889637351, -0.01345822960138321, 0.009087463840842247), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00983627513051033, -0.007667758502066135, 0.006861450150609016), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0011217491701245308, -0.006710262503474951, 0.023794498294591904), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0012785779545083642, -0.010729312896728516, 0.009790748357772827), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0022436731960624456, -0.006616899278014898, 0.031215546652674675), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0066566551104187965, 0.0025961226783692837, 0.002786543918773532), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00020040562958456576, -0.008348013274371624, 0.020121600478887558), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009166334755718708, -0.008650463074445724, 0.007255001924932003), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006332199089229107, 0.0010516926413401961, 0.0034878922160714865), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0036210480611771345, 0.03511717915534973, -0.0009771588956937194), (-0.010107938200235367, 0.09480737894773483, -0.09650024026632309)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=52, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.4037588834762573, 2.4115254878997803, 23.1414737701416), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.00456685945391655, 4.871569633483887, 23.051904678344727), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.3956940174102783, 7.27891206741333, 23.035198211669922), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.25972843170166, 2.423685312271118, 23.039522171020508), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.830176591873169, 4.879038333892822, 23.043869018554688), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.41449773311615, 7.305339336395264, 23.064224243164062), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.0427141189575195, 2.4231128692626953, 23.053630828857422), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.641865253448486, 4.863210201263428, 23.069910049438477), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.223206043243408, 7.291066646575928, 23.048297882080078), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (1.739959955215454, 2.230881452560425, 25.110286712646484), (1.4767072200775146, 1.3148481845855713, 25.34565544128418)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=1.0278303623199463, energy_trajectory=[1.3575549125671387, 1.349743127822876, 1.3428738117218018, 1.3365600109100342, 1.330498218536377, 1.3245809078216553, 1.3180522918701172, 1.3124699592590332, 1.306908130645752, 1.3013756275177002, 1.2959251403808594, 1.2905616760253906, 1.2852871417999268, 1.2801058292388916, 1.2750194072723389, 1.2701644897460938, 1.2656657695770264, 1.261514663696289, 1.2577340602874756, 1.2540974617004395, 1.2506921291351318, 1.2474968433380127, 1.2444920539855957, 1.24165940284729, 1.2389857769012451, 1.2365014553070068, 1.234266757965088, 1.2320332527160645, 1.2298645973205566, 1.2277982234954834, 1.225827932357788, 1.223944902420044, 1.2221417427062988, 1.220412254333496, 1.218752384185791, 1.2171568870544434, 1.2155804634094238, 1.2140960693359375, 1.212871789932251, 1.2114901542663574, 1.210150957107544, 1.208747148513794, 1.207425594329834, 1.2062017917633057, 1.2050108909606934, 1.2038512229919434, 1.2027192115783691, 1.2016139030456543, 1.200533151626587, 1.1994755268096924, 1.1984400749206543, 1.1974241733551025, 1.1964280605316162, 1.1954498291015625, 1.1944892406463623, 1.1935453414916992, 1.1926007270812988, 1.1916847229003906, 1.1907827854156494, 1.190021276473999, 1.1891443729400635, 1.1882798671722412, 1.1874260902404785, 1.1865830421447754, 1.1857497692108154, 1.1849250793457031, 1.1841094493865967, 1.1833014488220215, 1.1825010776519775, 1.1817054748535156, 1.1809160709381104, 1.1801316738128662, 1.1793501377105713, 1.1785740852355957, 1.1778016090393066, 1.1770336627960205, 1.176269769668579, 1.1755106449127197, 1.1747572422027588, 1.1740076541900635, 1.1732635498046875, 1.172523021697998, 1.1717867851257324, 1.1710541248321533, 1.1703245639801025, 1.1691393852233887, 1.1684153079986572, 1.1676926612854004, 1.1669728755950928, 1.1662538051605225, 1.1655359268188477, 1.1648192405700684, 1.164102554321289, 1.163386583328247, 1.1626701354980469, 1.1619524955749512, 1.1612341403961182, 1.1607975959777832, 1.1600754261016846, 1.159350872039795, 1.1586236953735352, 1.157893180847168, 1.1571605205535889, 1.156423568725586, 1.1556830406188965, 1.1549382209777832, 1.1541893482208252, 1.1534357070922852, 1.152677297592163, 1.1519138813018799, 1.1511461734771729, 1.1506788730621338, 1.1499018669128418, 1.1491191387176514, 1.1483311653137207, 1.1475379467010498, 1.1467387676239014, 1.1459341049194336, 1.1451241970062256, 1.1443095207214355, 1.143489122390747, 1.1425673961639404, 1.1417388916015625, 1.1409063339233398, 1.1400692462921143, 1.1392288208007812, 1.1383843421936035, 1.137538194656372, 1.1367053985595703, 1.135862112045288, 1.1350202560424805, 1.1341817378997803, 1.133345127105713, 1.132512092590332, 1.1316816806793213, 1.1308560371398926, 1.1300339698791504, 1.128782033920288, 1.1279709339141846, 1.127164363861084, 1.1263620853424072, 1.1255645751953125, 1.124772310256958, 1.1239845752716064, 1.1232008934020996, 1.1224219799041748, 1.121647596359253, 1.120877742767334, 1.120121955871582, 1.119359016418457, 1.1185991764068604, 1.1178443431854248, 1.1170923709869385, 1.1163442134857178, 1.115598201751709, 1.1148557662963867, 1.1137645244598389, 1.1130435466766357, 1.112652063369751, 1.111922025680542, 1.110994577407837, 1.1102683544158936, 1.1092324256896973, 1.1085121631622314, 1.1078319549560547, 1.109208583831787, 1.1084582805633545, 1.1077094078063965, 1.106963872909546, 1.1062226295471191, 1.105484962463379, 1.104750156402588, 1.1040191650390625, 1.1032910346984863, 1.102567195892334, 1.1018457412719727, 1.1011261940002441, 1.1004114151000977, 1.099698543548584, 1.098989486694336, 1.0982820987701416, 1.0975778102874756, 1.0967774391174316, 1.0960781574249268, 1.0953810214996338, 1.09468674659729, 1.0939934253692627, 1.0933027267456055, 1.0926144123077393, 1.0919272899627686, 1.0912423133850098, 1.090559720993042, 1.0898797512054443, 1.0892024040222168, 1.088526725769043, 1.0878536701202393, 1.087242841720581, 1.086575984954834, 1.0859110355377197, 1.0852482318878174, 1.0848994255065918, 1.083648920059204, 1.0829949378967285, 1.0824837684631348, 1.0817718505859375, 1.0811705589294434, 1.080528736114502, 1.0798900127410889, 1.0790231227874756, 1.078096866607666, 1.0774626731872559, 1.0768280029296875, 1.0761957168579102, 1.0755648612976074, 1.0749354362487793, 1.0743074417114258, 1.0736784934997559, 1.073049545288086, 1.0724217891693115, 1.0717928409576416, 1.071164608001709, 1.0705349445343018, 1.0699050426483154, 1.069274663925171, 1.0686447620391846, 1.0680146217346191, 1.0673832893371582, 1.0670356750488281, 1.0664074420928955, 1.065779447555542, 1.0651519298553467, 1.0645251274108887, 1.0639002323150635, 1.0632741451263428, 1.0626511573791504, 1.0620274543762207, 1.0614075660705566, 1.060788631439209, 1.0601727962493896, 1.0595588684082031, 1.058948040008545, 1.0583407878875732, 1.057737112045288, 1.0571374893188477, 1.056541919708252, 1.0559508800506592, 1.0553624629974365, 1.0547800064086914, 1.0542020797729492, 1.0536284446716309, 1.05305814743042, 1.0524942874908447, 1.0519356727600098, 1.0513803958892822, 1.0508296489715576, 1.0502841472625732, 1.0497419834136963, 1.0492045879364014, 1.0486705303192139, 1.0481412410736084, 1.0476136207580566, 1.0468730926513672, 1.046351432800293, 1.0447204113006592, 1.0442023277282715, 1.0436863899230957, 1.0431716442108154, 1.0426585674285889, 1.042146921157837, 1.0416359901428223, 1.0411269664764404, 1.0406177043914795, 1.0401110649108887, 1.0396058559417725, 1.039102554321289, 1.0386250019073486, 1.0379934310913086, 1.0375003814697266, 1.0370092391967773, 1.03652024269104, 1.0360333919525146, 1.0355474948883057, 1.035064458847046, 1.0345847606658936, 1.0341086387634277, 1.0336358547210693, 1.0331668853759766, 1.032740592956543, 1.0322809219360352, 1.0323083400726318, 1.0318312644958496, 1.0313611030578613, 1.030897617340088, 1.0304393768310547, 1.0299878120422363, 1.0295426845550537, 1.0291047096252441, 1.028672218322754, 1.0282485485076904, 1.0278303623199463], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0017804307863116264, 0.008439116179943085, 0.01569095067679882), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001009156578220427, 0.009611912071704865, -0.0038308771327137947), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0040523940697312355, 0.0009419361012987792, 0.0008200285374186933), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008612897247076035, 0.008898590691387653, 0.003747810609638691), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0033548639621585608, 0.01017796341329813, 9.37447402975522e-05), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0015639223856851459, 0.006586206145584583, -0.0006462987512350082), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001545357401482761, 0.006481653545051813, -0.004329720512032509), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0016506824176758528, 0.005838247016072273, -0.0013970795553177595), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00159963290207088, 0.004220003727823496, -0.002974278060719371), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.08799827098846436, 0.0806463286280632, 0.010709349066019058), (-0.020789621397852898, 0.05549134686589241, 0.01940416730940342)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=53, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-4.231884479522705, 7.329838752746582, 5.182563676237148e-16), (0.0, 0.0, 34.553192138671875)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(1.410628080368042, 2.443279504776001, 16.12482261657715), (-1.4409653030285233e-16, 1.6288530826568604, 11.517730712890625), (1.410628080368042, 0.8144265413284302, 13.821276664733887), (1.3929194211959839, 2.4335150718688965, 23.061079025268555), (1.3705266254700069e-15, 1.6288530826568604, 18.428369522094727), (1.410628080368042, 0.8144265413284302, 20.731914520263672), (8.881784197001252e-16, 4.886559009552002, 16.12482261657715), (-1.410628080368042, 4.072132587432861, 11.517730712890625), (6.661338147750939e-16, 3.2577061653137207, 13.821276664733887), (-0.002496524481102824, 4.878075122833252, 23.046255111694336), (-1.410628080368042, 4.072132587432861, 18.428369522094727), (-2.220446049250313e-16, 3.2577061653137207, 20.731914520263672), (-1.410628080368042, 7.329838752746582, 16.12482261657715), (-2.821256160736084, 6.515412330627441, 11.517730712890625), (-1.410628080368042, 5.700985908508301, 13.821276664733887), (-1.4176210165023804, 7.335570812225342, 23.048892974853516), (-2.821256160736084, 6.515412330627441, 18.428369522094727), (-1.410628080368042, 5.700985908508301, 20.731914520263672), (4.231884479522705, 2.443279504776001, 16.12482261657715), (2.821256160736084, 1.6288530826568604, 11.517730712890625), (4.231884479522705, 0.8144265413284302, 13.821276664733887), (4.210414409637451, 2.4257869720458984, 23.044893264770508), (2.821256160736084, 1.6288530826568604, 18.428369522094727), (4.231884479522705, 0.8144265413284302, 20.731914520263672), (2.821256160736084, 4.886559009552002, 16.12482261657715), (1.410628080368042, 4.072132587432861, 11.517730712890625), (2.821256160736084, 3.2577061653137207, 13.821276664733887), (2.7891123294830322, 4.877105712890625, 23.047412872314453), (1.410628080368042, 4.072132587432861, 18.428369522094727), (2.821256160736084, 3.2577061653137207, 20.731914520263672), (1.410628080368042, 7.329838752746582, 16.12482261657715), (-1.4409653030285233e-16, 6.515412330627441, 11.517730712890625), (1.410628080368042, 5.700985908508301, 13.821276664733887), (1.3917127847671509, 7.321920871734619, 23.06377601623535), (1.3705266254700069e-15, 6.515412330627441, 18.428369522094727), (1.410628080368042, 5.700985908508301, 20.731914520263672), (7.053140640258789, 2.443279504776001, 16.12482261657715), (5.642512321472168, 1.6288530826568604, 11.517730712890625), (7.053140640258789, 0.8144265413284302, 13.821276664733887), (7.037373065948486, 2.4237923622131348, 23.043474197387695), (5.642512321472168, 1.6288530826568604, 18.428369522094727), (7.053140640258789, 0.8144265413284302, 20.731914520263672), (5.642512321472168, 4.886559009552002, 16.12482261657715), (4.231884479522705, 4.072132587432861, 11.517730712890625), (5.642512321472168, 3.2577061653137207, 13.821276664733887), (5.6237101554870605, 4.902199745178223, 23.189647674560547), (4.231884479522705, 4.072132587432861, 18.428369522094727), (5.642512321472168, 3.2577061653137207, 20.731914520263672), (4.231884479522705, 7.329838752746582, 16.12482261657715), (2.821256160736084, 6.515412330627441, 11.517730712890625), (4.231884479522705, 5.700985908508301, 13.821276664733887), (4.203010559082031, 7.333992004394531, 23.048892974853516), (2.821256160736084, 6.515412330627441, 18.428369522094727), (4.231884479522705, 5.700985908508301, 20.731914520263672), (5.6387939453125, 4.82841157913208, 25.191917419433594), (6.067617416381836, 5.655126094818115, 25.49955177307129)], tags=[0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2], energy=0.9974213242530823, energy_trajectory=[1.320284366607666, 1.3117420673370361, 1.304100513458252, 1.296604871749878, 1.2892186641693115, 1.2817909717559814, 1.2745871543884277, 1.267390489578247, 1.2603495121002197, 1.25364351272583, 1.24733567237854, 1.2412347793579102, 1.2354435920715332, 1.2298469543457031, 1.2244489192962646, 1.2192254066467285, 1.2145099639892578, 1.209599494934082, 1.2048335075378418, 1.2001988887786865, 1.1977498531341553, 1.1933495998382568, 1.1890573501586914, 1.184873104095459, 1.1807925701141357, 1.1768105030059814, 1.1729228496551514, 1.1691255569458008, 1.1654188632965088, 1.1617963314056396, 1.1582579612731934, 1.1548001766204834, 1.151421308517456, 1.147902488708496, 1.1446723937988281, 1.14151930809021, 1.1384360790252686, 1.1354196071624756, 1.1324708461761475, 1.1283516883850098, 1.1255314350128174, 1.1227710247039795, 1.1194970607757568, 1.1168534755706787, 1.1142678260803223, 1.1117382049560547, 1.1092629432678223, 1.106839656829834, 1.1043825149536133, 1.1020641326904297, 1.0997939109802246, 1.0975735187530518, 1.0953993797302246, 1.093271255493164, 1.0911879539489746, 1.0891485214233398, 1.0870826244354248, 1.0851271152496338, 1.0832123756408691, 1.0813384056091309, 1.0793955326080322, 1.077596664428711, 1.075836420059204, 1.07429838180542, 1.0726094245910645, 1.0709569454193115, 1.0693390369415283, 1.0677552223205566, 1.0662031173706055, 1.0647735595703125, 1.0633313655853271, 1.0630619525909424, 1.0616204738616943, 1.0602390766143799, 1.0588560104370117, 1.057497262954712, 1.0561668872833252, 1.0548601150512695, 1.053579330444336, 1.0522711277008057, 1.051039695739746, 1.0498344898223877, 1.048048973083496, 1.0469002723693848, 1.0457775592803955, 1.0446810722351074, 1.043611764907837, 1.0425713062286377, 1.0415596961975098, 1.040576457977295, 1.0396225452423096, 1.0387094020843506, 1.0378143787384033, 1.0369513034820557, 1.0361478328704834, 1.0353443622589111, 1.0345714092254639, 1.0338282585144043, 1.0331141948699951, 1.0324277877807617, 1.031769037246704, 1.0311381816864014, 1.0305333137512207, 1.0299549102783203, 1.0294020175933838, 1.0288722515106201, 1.0283663272857666, 1.0278840065002441, 1.0274217128753662, 1.0269808769226074, 1.0269670486450195, 1.0265631675720215, 1.0259301662445068, 1.0255577564239502, 1.0251996517181396, 1.0248546600341797, 1.0245225429534912, 1.0241994857788086, 1.02388596534729, 1.0235812664031982, 1.0232632160186768, 1.022972583770752, 1.0234978199005127, 1.0232059955596924, 1.0234315395355225, 1.023148536682129, 1.0228698253631592, 1.0225551128387451, 1.022284746170044, 1.0220184326171875, 1.0217549800872803, 1.0214715003967285, 1.021216630935669, 1.0200467109680176, 1.0198006629943848, 1.019559621810913, 1.0193219184875488, 1.0188302993774414, 1.0186021327972412, 1.0183756351470947, 1.0181553363800049, 1.0179388523101807, 1.017726182937622, 1.017519474029541, 1.0172479152679443, 1.01704740524292, 1.0168507099151611, 1.0166566371917725, 1.0164668560028076, 1.0162804126739502, 1.0160984992980957, 1.015918493270874, 1.0157420635223389, 1.0155694484710693, 1.0153982639312744, 1.0152308940887451, 1.015066385269165, 1.0137288570404053, 1.013566017150879, 1.0136494636535645, 1.0134930610656738, 1.0133388042449951, 1.0131874084472656, 1.013038158416748, 1.0128917694091797, 1.0127463340759277, 1.0126044750213623, 1.0124664306640625, 1.012328863143921, 1.012195110321045, 1.0120627880096436, 1.0119338035583496, 1.011808156967163, 1.0116848945617676, 1.0115621089935303, 1.0114903450012207, 1.0113723278045654, 1.0109186172485352, 1.0106866359710693, 1.0105705261230469, 1.0104577541351318, 1.0103461742401123, 1.0102365016937256, 1.0100059509277344, 1.0098979473114014, 1.009791612625122, 1.0096869468688965, 1.0095829963684082, 1.0094797611236572, 1.0092854499816895, 1.0091822147369385, 1.0090827941894531, 1.0089848041534424, 1.0090620517730713, 1.0089664459228516, 1.008873462677002, 1.0087809562683105, 1.0086898803710938, 1.0080149173736572, 1.0079267024993896, 1.007840871810913, 1.0077552795410156, 1.0076713562011719, 1.00758957862854, 1.0075085163116455, 1.0074288845062256, 1.0073485374450684, 1.0072708129882812, 1.007195234298706, 1.007117509841919, 1.0070428848266602, 1.0068440437316895, 1.0067687034606934, 1.0066943168640137, 1.0066592693328857, 1.006587266921997, 1.0065135955810547, 1.006441354751587, 1.006368637084961, 1.0062947273254395, 1.0062203407287598, 1.0061450004577637, 1.0060689449310303, 1.0059919357299805, 1.0059151649475098, 1.0058362483978271, 1.0057566165924072, 1.0056772232055664, 1.005594253540039, 1.0055110454559326, 1.0054259300231934, 1.0053393840789795, 1.0052502155303955, 1.0051600933074951, 1.0050685405731201, 1.004976511001587, 1.0048797130584717, 1.004906415939331, 1.0048096179962158, 1.0047099590301514, 1.0046069622039795, 1.0045042037963867, 1.0043985843658447, 1.0042917728424072, 1.0041835308074951, 1.0040724277496338, 1.0039606094360352, 1.0038459300994873, 1.0043699741363525, 1.0042552947998047, 1.004141092300415, 1.0040040016174316, 1.0038881301879883, 1.003770112991333, 1.0036518573760986, 1.0035326480865479, 1.0034129619598389, 1.0032916069030762, 1.0031695365905762, 1.0030486583709717, 1.0029265880584717, 1.0028023719787598, 1.0026490688323975, 1.0025265216827393, 1.0024018287658691, 1.0022783279418945, 1.002152442932129, 1.0020344257354736, 1.0019078254699707, 1.0017797946929932, 1.0016520023345947, 1.0015220642089844, 1.0016107559204102, 1.0014774799346924, 1.0013439655303955, 1.0012075901031494, 1.001070261001587, 1.0009279251098633, 1.0007855892181396, 1.0006403923034668, 1.0005981922149658, 1.0005409717559814, 1.0003869533538818, 1.0002291202545166, 1.0000689029693604, 0.999904453754425, 0.9997379183769226, 0.9995664954185486, 0.9993907809257507, 0.9992085099220276, 0.9990218281745911, 0.9989727139472961, 0.9989911913871765, 0.9987941384315491, 0.9985913634300232, 0.9983819127082825, 0.9982653260231018, 0.9978825449943542, 0.9976537823677063, 0.9974213242530823], forces=[(0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005914636421948671, 0.009230640716850758, 0.0030712494626641273), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011939054355025291, 0.011004534550011158, -0.0014950138283893466), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006963304243981838, 0.011117999441921711, 0.0003253476752433926), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0012495274422690272, -0.005322881508618593, -0.004059992730617523), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002674250165000558, 0.011881448328495026, -0.0017743885982781649), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0070592681877315044, 0.009016643278300762, 0.0036388433072715998), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014386694878339767, 0.000837218773085624, -0.0015707111451774836), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002456808229908347, -0.008098914287984371, -0.032580871134996414), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005740851163864136, 0.014249910600483418, -0.00015732132305856794), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0008927370072342455, 0.0014546220190823078, -0.07361262291669846), (-0.012836662121117115, -0.010965181514620781, -0.02780553698539734)])], system_id=&#39;53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, api_host=&#39;open-catalyst-api.metademolab.com&#39;, ui_url=&#39;https://open-catalyst.metademolab.com/results/53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;), AdsorbateSlabRelaxations(slab=Slab(other_fields={}, atoms=Atoms(other_fields={}, cell=((8.463768833067146, 0.0, 5.182563705069405e-16), (-5.182563705069404e-16, 8.463768833067144, 5.182563705069404e-16), (0.0, 0.0, 31.918871126704698)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78], positions=[(2.8212562776890486, 1.6046248175002857e-31, 16.95690028606187), (1.4106281388445243, 1.410628138844524, 18.951829731480913), (2.8212562776890486, 1.2901937750658887e-31, 12.967041395223784), (1.4106281388445243, 1.410628138844524, 14.961970840642827), (2.8212562776890486, 2.821256277689048, 16.95690028606187), (1.410628138844524, 4.231884416533572, 18.951829731480913), (2.8212562776890486, 2.821256277689048, 12.967041395223784), (1.410628138844524, 4.231884416533572, 14.961970840642827), (2.821256277689048, 5.642512555378096, 16.95690028606187), (1.4106281388445239, 7.053140694222621, 18.951829731480913), (2.821256277689048, 5.642512555378096, 12.967041395223784), (1.4106281388445239, 7.053140694222621, 14.961970840642827), (5.642512555378097, 1.6046248175002857e-31, 16.95690028606187), (4.231884416533573, 1.410628138844524, 18.951829731480913), (5.642512555378097, 1.2901937750658887e-31, 12.967041395223784), (4.231884416533573, 1.410628138844524, 14.961970840642827), (5.642512555378097, 2.821256277689048, 16.95690028606187), (4.231884416533573, 4.231884416533572, 18.951829731480913), (5.642512555378097, 2.821256277689048, 12.967041395223784), (4.231884416533573, 4.231884416533572, 14.961970840642827), (5.642512555378097, 5.642512555378096, 16.95690028606187), (4.231884416533573, 7.053140694222621, 18.951829731480913), (5.642512555378097, 5.642512555378096, 12.967041395223784), (4.231884416533573, 7.053140694222621, 14.961970840642827), (8.463768833067146, 1.6046248175002857e-31, 16.95690028606187), (7.053140694222622, 1.410628138844524, 18.951829731480913), (8.463768833067146, 1.2901937750658887e-31, 12.967041395223784), (7.053140694222622, 1.410628138844524, 14.961970840642827), (8.463768833067146, 2.821256277689048, 16.95690028606187), (7.053140694222622, 4.231884416533572, 18.951829731480913), (8.463768833067146, 2.821256277689048, 12.967041395223784), (7.053140694222622, 4.231884416533572, 14.961970840642827), (8.463768833067146, 5.642512555378096, 16.95690028606187), (7.053140694222622, 7.053140694222621, 18.951829731480913), (8.463768833067146, 5.642512555378096, 12.967041395223784), (7.053140694222622, 7.053140694222621, 14.961970840642827)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0]), metadata=SlabMetadata(other_fields={}, bulk_src_id=&#39;mp-126&#39;, millers=(1, 0, 0), shift=0.25, top=True)), configs=[AdsorbateSlabRelaxationResult(other_fields={}, config_id=0, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.801236867904663, 0.007319233845919371, 16.955747604370117), (1.2923702001571655, 1.4635357856750488, 19.105634689331055), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.788851022720337, 2.7928032875061035, 16.96202850341797), (1.3876497745513916, 4.244718074798584, 18.870271682739258), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8147802352905273, 5.634663105010986, 16.922372817993164), (1.3989460468292236, 7.023378849029541, 18.861879348754883), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.639988422393799, -0.0044825440272688866, 16.920475006103516), (4.237083435058594, 1.405531406402588, 18.853574752807617), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.633824825286865, 2.824054479598999, 16.91693687438965), (4.222211837768555, 4.230833053588867, 18.86676025390625), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.635040760040283, 5.64065408706665, 16.91988182067871), (4.22700309753418, 7.041851043701172, 18.86600685119629), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.483259201049805, 0.023569826036691666, 16.970266342163086), (7.004707336425781, 1.4157414436340332, 18.877418518066406), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.472643852233887, 2.7992804050445557, 16.954782485961914), (7.027377128601074, 4.23951530456543, 18.872892379760742), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.451557159423828, 5.639824867248535, 16.919065475463867), (7.034177780151367, 7.044033050537109, 18.86973762512207), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.6329866647720337, 1.2274523973464966, 21.048507690429688), (0.9477673172950745, 1.7420371770858765, 21.52501678466797)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.870320737361908, energy_trajectory=[1.1427390575408936, 1.1319358348846436, 1.1230113506317139, 1.1145939826965332, 1.106203556060791, 1.0978891849517822, 1.0896415710449219, 1.081451654434204, 1.07326078414917, 1.0651798248291016, 1.057107925415039, 1.0494587421417236, 1.0417742729187012, 1.0338923931121826, 1.0260818004608154, 1.0192174911499023, 1.011749505996704, 1.0043153762817383, 0.9968411326408386, 0.9893983006477356, 0.9821833968162537, 0.9750234484672546, 0.9679315686225891, 0.9606522917747498, 0.9536753296852112, 0.9468221068382263, 0.9402592778205872, 0.9341190457344055, 0.9281138777732849, 0.9224537014961243, 0.9170816540718079, 0.9121218323707581, 0.9074280858039856, 0.9029838442802429, 0.8987833857536316, 0.8947803378105164, 0.8910413384437561, 0.8876157402992249, 0.8843185305595398, 0.8812699913978577, 0.8784511685371399, 0.8758262991905212, 0.8734684586524963, 0.871397078037262, 0.8695719838142395, 0.8679984211921692, 0.8666201233863831, 0.8654025197029114, 0.8644205927848816, 0.8634917140007019, 0.8627387881278992, 0.8620967268943787, 0.8615038990974426, 0.8609450459480286, 0.860406219959259, 0.8598904013633728, 0.8594101071357727, 0.8589833378791809, 0.8588278889656067, 0.8584476113319397, 0.8583158850669861, 0.8583257794380188, 0.8584709763526917, 0.8587999939918518, 0.8593001961708069, 0.8599689602851868, 0.8608046174049377, 0.8617917895317078, 0.8629243969917297, 0.8641920685768127, 0.8655813336372375, 0.8669268488883972, 0.8685967326164246, 0.8703028559684753, 0.8722072243690491, 0.8740951418876648, 0.8738532662391663, 0.8759060502052307, 0.8780401349067688, 0.8802626729011536, 0.8825299143791199, 0.8849124312400818, 0.8872936367988586, 0.8898350596427917, 0.8917716145515442, 0.8944783806800842, 0.8972646594047546, 0.9001346230506897, 0.9030916094779968, 0.906129777431488, 0.9089133143424988, 0.9121242165565491, 0.9154201149940491, 0.9187975525856018, 0.9222627282142639, 0.925836980342865, 0.9289385676383972, 0.9322277903556824, 0.9358044266700745, 0.9392728209495544, 0.9426180720329285, 0.9458292126655579, 0.949069082736969, 0.9519817233085632, 0.9543781876564026, 0.9569565653800964, 0.9593555331230164, 0.9615731835365295, 0.9636088013648987, 0.9654565453529358, 0.9671211838722229, 0.9685178399085999, 0.9698169827461243, 0.9709377884864807, 0.971738874912262, 0.9725803732872009, 0.973195493221283, 0.9736563563346863, 0.9739739298820496, 0.9741511940956116, 0.9741958975791931, 0.9741194844245911, 0.9742092490196228, 0.9760894179344177, 0.9757025837898254, 0.9752195477485657, 0.9746466279029846, 0.9739924073219299, 0.9732568860054016, 0.9724448323249817, 0.9713549017906189, 0.9704044461250305, 0.9693906903266907, 0.9683133959770203, 0.9696057438850403, 0.9684175848960876, 0.9671817421913147, 0.9658946394920349, 0.9645635485649109, 0.9631903767585754, 0.9617798924446106, 0.9603384137153625, 0.9588633179664612, 0.957362711429596, 0.9558355212211609, 0.95428866147995, 0.952721893787384, 0.9511423707008362, 0.9495498538017273, 0.9479462504386902, 0.9463339447975159, 0.9447181820869446, 0.9430976510047913, 0.9414739012718201, 0.9398536086082458, 0.9382347464561462, 0.9366160035133362, 0.9350059628486633, 0.9335368275642395, 0.9319379925727844, 0.9303502440452576, 0.9257819056510925, 0.9242212176322937, 0.9226686358451843, 0.9211308360099792, 0.919604480266571, 0.9180923104286194, 0.9165934920310974, 0.9151114821434021, 0.9136469960212708, 0.9121993184089661, 0.9107665419578552, 0.909354031085968, 0.9078965783119202, 0.9065130352973938, 0.905246913433075, 0.9038969874382019, 0.9025645852088928, 0.9012525677680969, 0.9027002453804016, 0.9014152884483337, 0.9001514315605164, 0.8989070057868958, 0.8976793885231018, 0.8964704871177673, 0.8952801823616028, 0.8942448496818542, 0.8930928111076355, 0.8920159935951233, 0.8908974528312683, 0.889930784702301, 0.8888487219810486, 0.8877833485603333, 0.8867395520210266, 0.885713517665863, 0.8847042918205261, 0.8837173581123352, 0.8827483057975769, 0.8817976117134094, 0.8808665871620178, 0.8799527287483215, 0.879079282283783, 0.8782010674476624, 0.877565324306488, 0.8767223954200745, 0.8759002089500427, 0.8751644492149353, 0.874380886554718, 0.8736168742179871, 0.8730601668357849, 0.8723344206809998, 0.871629536151886, 0.8709426522254944, 0.8702772259712219, 0.8696736693382263, 0.8690031170845032, 0.8683937191963196, 0.8678060173988342, 0.8672392964363098, 0.8666908144950867, 0.8661649823188782, 0.865659773349762, 0.8655125498771667, 0.8649733662605286, 0.8645310997962952, 0.864108145236969, 0.8637080788612366, 0.8633298277854919, 0.8629719614982605, 0.8626355528831482, 0.8623201251029968, 0.8619601130485535, 0.8616858124732971, 0.8614345192909241, 0.8612014651298523, 0.8609901070594788, 0.8608011603355408, 0.8606290221214294, 0.860480010509491, 0.8603487610816956, 0.860238254070282, 0.8601463437080383, 0.8600721955299377, 0.8600167632102966, 0.8599779009819031, 0.8599554896354675, 0.8599492907524109, 0.859957754611969, 0.8599807620048523, 0.8600544333457947, 0.8601005673408508, 0.8601602911949158, 0.8602316975593567, 0.8603151440620422, 0.8604082465171814, 0.8607015013694763, 0.8608124852180481, 0.860931932926178, 0.8610571026802063, 0.8611899018287659, 0.861328661441803, 0.8614705204963684, 0.8616195321083069, 0.8617704510688782, 0.8619275689125061, 0.862087070941925, 0.8622496724128723, 0.8624160885810852, 0.8625842928886414, 0.8626858592033386, 0.8628613352775574, 0.8630372881889343, 0.8632151484489441, 0.8633973002433777, 0.8636084198951721, 0.863792359828949, 0.8639811873435974, 0.8642120957374573, 0.8644014000892639, 0.864591658115387, 0.8648877739906311, 0.8650816082954407, 0.8653578162193298, 0.8655545115470886, 0.8657481074333191, 0.8659451603889465, 0.8661430478096008, 0.8663403391838074, 0.8665385842323303, 0.8682170510292053, 0.868413507938385, 0.8686088919639587, 0.8688029646873474, 0.8689976334571838, 0.8692695498466492, 0.8695526719093323, 0.8697455525398254, 0.8699386715888977, 0.8701301217079163, 0.870320737361908], forces=[(-0.0007493705488741398, 0.002957159886136651, -3.2883061066968367e-05), (0.022404439747333527, -0.004821153357625008, -0.006990603171288967), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0005798748461529613, -3.5213604860473424e-05, -0.0005087722092866898), (0.0030454087536782026, 0.006787754595279694, -0.01321459375321865), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0026079132221639156, 0.001368131022900343, -0.012114694342017174), (0.000578912440687418, -0.0021292695309966803, -0.013159128837287426), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0006819299887865782, -0.0002783412055578083, -0.011552585288882256), (0.010099777020514011, 0.001750539755448699, -0.010069911368191242), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0015478830318897963, 0.0011513086501508951, -0.010733498260378838), (0.004860665649175644, 0.004379783291369677, -0.012549682520329952), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0007416493026539683, 0.0004700595745816827, -0.011162174865603447), (0.0036238369066268206, -0.0006546080112457275, -0.011602338403463364), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0009531626710668206, 3.4277742088306695e-05, -0.00407057860866189), (0.003554685041308403, 0.0005459820386022329, -0.013888578861951828), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0031110155396163464, -0.0005805321270599961, -0.0018933059182018042), (0.000937724718824029, 0.0028597977943718433, -0.013754933141171932), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00010423731146147475, 0.0005771710420958698, -0.012401120737195015), (-0.00048719250480644405, -0.0009106408106163144, -0.01269062701612711), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014845739118754864, 0.010244179517030716, -0.004103837534785271), (0.0087800994515419, -0.0015588102396577597, -0.028223374858498573)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=1, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8453736305236816, 0.0031798160634934902, 16.94786262512207), (1.3947036266326904, 1.4311953783035278, 18.827375411987305), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8350813388824463, 2.8161025047302246, 16.919780731201172), (1.3927357196807861, 4.23929500579834, 18.832717895507812), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.831116199493408, 5.648013114929199, 16.915010452270508), (1.3844903707504272, 7.049338340759277, 18.8230037689209), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.618189811706543, 0.0021088416688144207, 16.95518684387207), (4.232137680053711, 1.541199803352356, 18.963367462158203), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.630345344543457, 2.815760612487793, 16.92207145690918), (4.236635684967041, 4.2210001945495605, 18.862619400024414), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.62876558303833, 5.651129245758057, 16.920120239257812), (4.205133438110352, 6.886865139007568, 18.95052146911621), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.464597702026367, 0.005538206081837416, 16.896055221557617), (7.083183765411377, 1.4321094751358032, 18.822418212890625), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.464791297912598, 2.8310070037841797, 16.882936477661133), (7.072312355041504, 4.237508296966553, 18.834657669067383), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.462347030639648, 5.638948440551758, 16.880699157714844), (7.0798258781433105, 7.043046474456787, 18.8177490234375), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.247847080230713, -0.0508115328848362, 20.386255264282227), (3.3427481651306152, -0.03988416865468025, 20.76561164855957)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4226554036140442, energy_trajectory=[1.1044557094573975, 1.0911040306091309, 1.0807840824127197, 1.071012020111084, 1.0614099502563477, 1.0522496700286865, 1.0445563793182373, 1.0360939502716064, 1.0280895233154297, 1.0202832221984863, 1.0128180980682373, 1.0056648254394531, 0.9986781477928162, 0.9919084906578064, 0.9853430390357971, 0.9789817929267883, 0.9729335904121399, 0.9671186804771423, 0.9615110754966736, 0.9558894038200378, 0.9505054354667664, 0.945249617099762, 0.9401184916496277, 0.9350959658622742, 0.9300512671470642, 0.9252244830131531, 0.9204885363578796, 0.9158313870429993, 0.9113821387290955, 0.9068490862846375, 0.9024410843849182, 0.8981125950813293, 0.8939065337181091, 0.8896414637565613, 0.8854320645332336, 0.8812364935874939, 0.8771190047264099, 0.8730452656745911, 0.8690142035484314, 0.8650192618370056, 0.8610581755638123, 0.8571342825889587, 0.8532373309135437, 0.8492546677589417, 0.84541255235672, 0.8415948748588562, 0.8378036618232727, 0.8340302109718323, 0.8302767872810364, 0.8265416026115417, 0.8228763937950134, 0.8191350102424622, 0.8153224587440491, 0.811659038066864, 0.8082355856895447, 0.8046104311943054, 0.800197184085846, 0.7966583371162415, 0.7930654883384705, 0.7894827723503113, 0.7859132885932922, 0.7823526263237, 0.7788049578666687, 0.7752668261528015, 0.7717379927635193, 0.7682214379310608, 0.764714777469635, 0.7612177729606628, 0.7577336430549622, 0.7542595267295837, 0.7508346438407898, 0.7473441958427429, 0.7439056038856506, 0.7405721545219421, 0.7371748089790344, 0.7337705492973328, 0.7303760647773743, 0.726991593837738, 0.7236184477806091, 0.720256507396698, 0.7167481780052185, 0.7134039998054504, 0.7100695967674255, 0.7067469954490662, 0.7034295201301575, 0.7001232504844666, 0.6968280673027039, 0.6935072541236877, 0.6902264952659607, 0.6869568228721619, 0.683696448802948, 0.6804473996162415, 0.6772057414054871, 0.6739756464958191, 0.6707550883293152, 0.6675437092781067, 0.664340078830719, 0.6616086363792419, 0.6584293246269226, 0.6552610993385315, 0.6521046757698059, 0.6489629149436951, 0.6458267569541931, 0.6427070498466492, 0.6395944952964783, 0.6365086436271667, 0.6334183812141418, 0.6303357481956482, 0.6272665858268738, 0.6242080330848694, 0.6211622357368469, 0.6181296706199646, 0.6151105761528015, 0.6121050715446472, 0.6091157793998718, 0.6061404347419739, 0.6031814217567444, 0.600240170955658, 0.5973140597343445, 0.5944072604179382, 0.5914456248283386, 0.5883999466896057, 0.585545003414154, 0.5827092528343201, 0.5798903107643127, 0.5770923495292664, 0.5743127465248108, 0.5714560151100159, 0.5684853196144104, 0.5658469796180725, 0.5631830096244812, 0.5603030323982239, 0.5576363205909729, 0.5549184679985046, 0.5522940754890442, 0.5497073531150818, 0.5471228957176208, 0.5445606112480164, 0.5420200228691101, 0.5395017266273499, 0.5370038151741028, 0.5345297455787659, 0.5320772528648376, 0.5296489596366882, 0.5272484421730042, 0.5248690247535706, 0.5225134491920471, 0.5201860070228577, 0.5178831219673157, 0.5156072974205017, 0.5133586525917053, 0.5109466910362244, 0.5087546706199646, 0.5065943598747253, 0.504460871219635, 0.5023588538169861, 0.5002842545509338, 0.4982380270957947, 0.4962230324745178, 0.4942377209663391, 0.4922807812690735, 0.49035245180130005, 0.48845142126083374, 0.4865782856941223, 0.48473280668258667, 0.4829140305519104, 0.48111122846603394, 0.47934526205062866, 0.4774584174156189, 0.4757416844367981, 0.4740472435951233, 0.47237974405288696, 0.47024327516555786, 0.4686211943626404, 0.4670202136039734, 0.465442955493927, 0.46388739347457886, 0.46246784925460815, 0.4609559178352356, 0.4594671130180359, 0.45799821615219116, 0.4561329483985901, 0.4547070860862732, 0.4533056616783142, 0.451927125453949, 0.4508129954338074, 0.4494825005531311, 0.448175847530365, 0.4468924403190613, 0.4456344246864319, 0.4444001317024231, 0.4431909918785095, 0.4420068860054016, 0.44084566831588745, 0.43971019983291626, 0.4385969042778015, 0.4375090003013611, 0.43644458055496216, 0.43540579080581665, 0.4343859553337097, 0.4333880543708801, 0.432411253452301, 0.431456983089447, 0.43052464723587036, 0.4296101927757263, 0.42871493101119995, 0.4278385043144226, 0.4269811511039734, 0.42608124017715454, 0.425254762172699, 0.4244421124458313, 0.42364436388015747, 0.42340391874313354, 0.4226319193840027, 0.4218297600746155, 0.4211108088493347, 0.42031723260879517, 0.4199705719947815, 0.41925543546676636, 0.41855305433273315, 0.4178616404533386, 0.4171838164329529, 0.4165181517601013, 0.41582244634628296, 0.4152682423591614, 0.414608895778656, 0.4140002131462097, 0.41340750455856323, 0.41283267736434937, 0.4121728539466858, 0.411599338054657, 0.41108328104019165, 0.41059011220932007, 0.410153329372406, 0.40970510244369507, 0.40928107500076294, 0.4088401198387146, 0.40850764513015747, 0.40816348791122437, 0.40784746408462524, 0.4075581431388855, 0.40729719400405884, 0.4070647358894348, 0.4068590998649597, 0.4067618250846863, 0.406616747379303, 0.40667325258255005, 0.4065902829170227, 0.4066151976585388, 0.40669065713882446, 0.4066935181617737, 0.40672987699508667, 0.4068947434425354, 0.406985342502594, 0.4071003794670105, 0.4073527455329895, 0.4074874520301819, 0.40745073556900024, 0.40791624784469604, 0.40857619047164917, 0.4088059067726135, 0.4090908169746399, 0.4093483090400696, 0.4096161723136902, 0.40989500284194946, 0.41018325090408325, 0.41048115491867065, 0.41078609228134155, 0.41110116243362427, 0.4114225506782532, 0.4117510914802551, 0.412086546421051, 0.41237133741378784, 0.41273146867752075, 0.41307979822158813, 0.41343337297439575, 0.41379326581954956, 0.4140985608100891, 0.4144652485847473, 0.41483503580093384, 0.41519278287887573, 0.4155723452568054, 0.41595619916915894, 0.4163438677787781, 0.4167328476905823, 0.41712647676467896, 0.41752272844314575, 0.4179210066795349, 0.4183198809623718, 0.41872280836105347, 0.4191264510154724, 0.41961902379989624, 0.42002445459365845, 0.42043572664260864, 0.42067950963974, 0.4210922122001648, 0.42150431871414185, 0.4219164252281189, 0.42232877016067505, 0.4226554036140442], forces=[(-0.01824590191245079, -0.015126463957130909, -0.0011653072433546185), (0.0005245502106845379, -0.020677562803030014, 0.04594692960381508), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0046688769944012165, -0.01633342169225216, 0.022483088076114655), (0.011057872325181961, -0.012747273780405521, 0.04958692565560341), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0006173991714604199, -0.01243611890822649, 0.025929315015673637), (0.013160444796085358, -0.009934532456099987, 0.05065508559346199), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0183259230107069, -0.014973048120737076, -0.009553441777825356), (-0.0009902706369757652, -0.06172318756580353, 0.006277977488934994), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0019682201091200113, -0.023013092577457428, 0.027882233262062073), (-0.0042461431585252285, -0.009662885218858719, 0.02762794867157936), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0039238655008375645, -0.01831388659775257, 0.01842278242111206), (0.037099357694387436, 0.06720346957445145, 0.0022045422811061144), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0019910563714802265, -0.009019153192639351, 0.034293368458747864), (-0.007789588067680597, -0.02146788127720356, 0.04765227809548378), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0013766228221356869, -0.006361843552440405, 0.03977062925696373), (-0.012503501959145069, -0.01255312841385603, 0.04915087670087814), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0017821209039539099, -0.005792676005512476, 0.04185326024889946), (-0.009816673584282398, -0.009399115107953548, 0.04865337535738945), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006434166803956032, 0.15108516812324524, 0.16060703992843628), (-0.02962132729589939, 0.0016031709965318441, 0.05495798587799072)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=2, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8141729831695557, -0.005490145646035671, 16.889522552490234), (1.4081283807754517, 1.394308090209961, 18.843374252319336), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8247764110565186, 2.8298375606536865, 16.92230796813965), (1.4039113521575928, 4.225998878479004, 18.86911964416504), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8274126052856445, 5.625406265258789, 16.927093505859375), (1.4117600917816162, 7.0681610107421875, 18.842971801757812), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.642073154449463, -0.006605593021959066, 16.902687072753906), (4.213542461395264, 1.3740181922912598, 18.826183319091797), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.641398906707764, 2.8364899158477783, 16.952199935913086), (4.08947229385376, 4.219232082366943, 18.960378646850586), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6410231590271, 5.615202903747559, 16.950471878051758), (4.223710536956787, 7.062528133392334, 18.835554122924805), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.469277381896973, -0.0039217183366417885, 16.89126968383789), (7.065999507904053, 1.3767509460449219, 18.828689575195312), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.452601432800293, 2.83194899559021, 16.92673110961914), (7.178262710571289, 4.2307939529418945, 18.973438262939453), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.45284652709961, 5.625721454620361, 16.929243087768555), (7.061669826507568, 7.0642008781433105, 18.838577270507812), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.620606422424316, 4.149533271789551, 20.424232482910156), (5.599852561950684, 5.039621353149414, 20.836103439331055)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4136555790901184, energy_trajectory=[0.9711632132530212, 0.9532995820045471, 0.9407705664634705, 0.9284793734550476, 0.9164155125617981, 0.9044799208641052, 0.8930049538612366, 0.8818585276603699, 0.8709631562232971, 0.8603206276893616, 0.8499820828437805, 0.839744508266449, 0.8297398686408997, 0.8202845454216003, 0.8105862736701965, 0.8012992739677429, 0.7921884655952454, 0.7832432389259338, 0.7744678854942322, 0.7658525109291077, 0.7572299838066101, 0.7487877011299133, 0.7408323884010315, 0.7328000664710999, 0.724956214427948, 0.7172567248344421, 0.7097547650337219, 0.7025620341300964, 0.6951361298561096, 0.6880922913551331, 0.6813159584999084, 0.6747872233390808, 0.6683358550071716, 0.6620309948921204, 0.6559736132621765, 0.6499601006507874, 0.6440843939781189, 0.6383426785469055, 0.632629930973053, 0.6271410584449768, 0.6218021512031555, 0.6165589690208435, 0.6113777756690979, 0.6063467860221863, 0.6013805270195007, 0.596569836139679, 0.591864287853241, 0.5872591137886047, 0.5827533602714539, 0.5779220461845398, 0.5736111998558044, 0.5693960785865784, 0.5652047991752625, 0.5612620711326599, 0.5573250651359558, 0.5530926585197449, 0.5493330359458923, 0.5456607937812805, 0.5420699715614319, 0.5385324358940125, 0.5351001620292664, 0.5317451357841492, 0.5284672379493713, 0.5252613425254822, 0.522132933139801, 0.5189982056617737, 0.5160086750984192, 0.5130594372749329, 0.5102044939994812, 0.5073400139808655, 0.5048248171806335, 0.5021716952323914, 0.49963468313217163, 0.4971087574958801, 0.4946449398994446, 0.49239736795425415, 0.4900525212287903, 0.48776620626449585, 0.48553842306137085, 0.48319095373153687, 0.4810776114463806, 0.4790192246437073, 0.47701817750930786, 0.4749259352684021, 0.4730367064476013, 0.4710840582847595, 0.46930474042892456, 0.467182457447052, 0.4655027985572815, 0.463875949382782, 0.46281224489212036, 0.4612935185432434, 0.4598243832588196, 0.4584077000617981, 0.45704132318496704, 0.45572370290756226, 0.45445460081100464, 0.4532347321510315, 0.4520617127418518, 0.4509349465370178, 0.44985347986221313, 0.4486538767814636, 0.44765573740005493, 0.44670015573501587, 0.44578462839126587, 0.44490760564804077, 0.4440688490867615, 0.44326549768447876, 0.442496120929718, 0.441749632358551, 0.44104212522506714, 0.4403650164604187, 0.4397154450416565, 0.43909353017807007, 0.4384992718696594, 0.43793123960494995, 0.43738895654678345, 0.4368731379508972, 0.436381995677948, 0.43591612577438354, 0.43547385931015015, 0.43505579233169556, 0.43466120958328247, 0.4342877268791199, 0.43393629789352417, 0.43360382318496704, 0.43325406312942505, 0.43295687437057495, 0.43229764699935913, 0.4320283532142639, 0.43177348375320435, 0.43153053522109985, 0.43129879236221313, 0.43107742071151733, 0.4308667778968811, 0.43066543340682983, 0.43047112226486206, 0.4302845597267151, 0.4301055073738098, 0.42993229627609253, 0.42976659536361694, 0.4296059012413025, 0.42944973707199097, 0.42937880754470825, 0.42923039197921753, 0.4291679263114929, 0.42902904748916626, 0.42889291048049927, 0.42876046895980835, 0.42863208055496216, 0.42850667238235474, 0.42827528715133667, 0.428153932094574, 0.428034245967865, 0.4279734492301941, 0.42779403924942017, 0.42767900228500366, 0.4275659918785095, 0.42745381593704224, 0.42734402418136597, 0.42723554372787476, 0.42712897062301636, 0.4270218014717102, 0.42691558599472046, 0.42680948972702026, 0.4267053008079529, 0.42660003900527954, 0.42649585008621216, 0.42639249563217163, 0.42628878355026245, 0.4260968565940857, 0.425991952419281, 0.42588740587234497, 0.4257829785346985, 0.42567890882492065, 0.4255751967430115, 0.42563682794570923, 0.4255337119102478, 0.42529791593551636, 0.4251940846443176, 0.425090491771698, 0.42498689889907837, 0.4248848557472229, 0.42478233575820923, 0.4246789813041687, 0.4245762228965759, 0.4244740605354309, 0.4243183732032776, 0.4242134690284729, 0.4241110682487488, 0.42400747537612915, 0.4239587187767029, 0.42373842000961304, 0.4236360192298889, 0.4235331416130066, 0.4234296679496765, 0.423326313495636, 0.4232218861579895, 0.4232211709022522, 0.4231181740760803, 0.4230157732963562, 0.4229121804237366, 0.4228072762489319, 0.42270082235336304, 0.422593891620636, 0.4224863648414612, 0.4223785996437073, 0.4222702383995056, 0.42216044664382935, 0.4220506548881531, 0.42194050550460815, 0.42182987928390503, 0.4217180609703064, 0.42160648107528687, 0.4214703440666199, 0.42135852575302124, 0.4210330843925476, 0.42091912031173706, 0.4208056330680847, 0.42069023847579956, 0.42055875062942505, 0.42044442892074585, 0.4203426241874695, 0.42022615671157837, 0.42011064291000366, 0.4199938178062439, 0.4198762774467468, 0.4197583794593811, 0.4190816283226013, 0.4189949631690979, 0.41887229681015015, 0.41874903440475464, 0.41862601041793823, 0.4185022711753845, 0.418379008769989, 0.4182538390159607, 0.4181956648826599, 0.41807132959365845, 0.41794759035110474, 0.41782325506210327, 0.41774481534957886, 0.4176223874092102, 0.41750019788742065, 0.4171324372291565, 0.4169769883155823, 0.41685158014297485, 0.41672950983047485, 0.4171209931373596, 0.41699570417404175, 0.4168704152107239, 0.41674524545669556, 0.4166218638420105, 0.41654354333877563, 0.41642171144485474, 0.41630131006240845, 0.41618162393569946, 0.41606277227401733, 0.4159466624259949, 0.4158326983451843, 0.41571980714797974, 0.41561049222946167, 0.41550201177597046, 0.41539496183395386, 0.4152910113334656, 0.41518980264663696, 0.4152396321296692, 0.4151419997215271, 0.41504842042922974, 0.4149569869041443, 0.41509777307510376, 0.4150128960609436, 0.4149298071861267, 0.41485148668289185, 0.4147726893424988, 0.41469722986221313, 0.41462546586990356, 0.41455572843551636, 0.4144884943962097, 0.41457706689834595, 0.4145185351371765, 0.41446226835250854, 0.41440922021865845, 0.4143596291542053, 0.41431134939193726, 0.4142681956291199, 0.4142271876335144, 0.4141901135444641, 0.414156973361969, 0.4141271710395813, 0.4141020178794861, 0.4140811562538147, 0.4140644669532776, 0.4136051535606384, 0.41359978914260864, 0.41359788179397583, 0.4136003851890564, 0.4136064648628235, 0.4136233925819397, 0.4136379361152649, 0.4136555790901184], forces=[(-0.001622971030883491, -0.0017124778823927045, 0.013394908979535103), (-0.0023499014787375927, -0.004903733730316162, 0.01812196522951126), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0014169440837576985, -0.0003133700811304152, 0.01482837088406086), (-0.0005785662215203047, -0.007516189478337765, 0.016778402030467987), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002379314275458455, -0.0022905971854925156, 0.008872522041201591), (-0.003076352411881089, -0.00986367929726839, 0.018546558916568756), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001166537287645042, -0.000555864826310426, 0.010347889736294746), (0.0003575702430680394, 0.0014267596416175365, 0.01796446181833744), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00252167577855289, -0.0032474296167492867, 0.003627270460128784), (0.0198822058737278, 0.012889792211353779, 0.017374515533447266), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0024741434026509523, 0.0029133588541299105, 0.0025939960032701492), (-0.0023965199943631887, -0.0002595280820969492, 0.016679177060723305), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001885877805761993, -0.0019462693016976118, 0.012122847139835358), (-0.00531777972355485, -0.0007718250853940845, 0.017968852072954178), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0020677722059190273, -0.0021017463877797127, 0.011706707999110222), (-0.018361574038863182, 0.005921255797147751, 0.005211467854678631), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001416688202880323, -0.00193103461060673, 0.008529985323548317), (-0.0036792291793972254, -0.0007098907954059541, 0.016004573553800583), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014382162131369114, 0.05420629680156708, 0.03010890632867813), (0.04033040627837181, 0.0393042229115963, 0.03556816652417183)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=3, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.844935417175293, -0.003353497479110956, 16.960187911987305), (1.3750888109207153, 1.420889139175415, 18.82541275024414), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8333492279052734, 2.819550037384033, 16.92685317993164), (1.3910421133041382, 4.230413436889648, 18.840354919433594), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.841407537460327, 5.664368152618408, 16.942726135253906), (1.393297791481018, 7.039834022521973, 18.837900161743164), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.618412017822266, 0.0001772827235981822, 16.950376510620117), (4.218542098999023, 1.5707175731658936, 18.954364776611328), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.624244689941406, 2.819286346435547, 16.920896530151367), (4.227825164794922, 4.259779453277588, 18.87531089782715), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.627037525177002, 5.659191131591797, 16.93364143371582), (4.281322479248047, 6.961292743682861, 19.02114486694336), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.463335990905762, -0.006217829883098602, 16.900712966918945), (7.068058013916016, 1.4185763597488403, 18.8245792388916), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.461934089660645, 2.825230836868286, 16.884632110595703), (7.06552791595459, 4.223687171936035, 18.837446212768555), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.466279983520508, 5.63477087020874, 16.89139175415039), (7.081352710723877, 7.039352893829346, 18.839101791381836), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.238053321838379, 0.10617409646511078, 20.463781356811523), (5.1339592933654785, 0.20833805203437805, 20.8551082611084)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4353758692741394, energy_trajectory=[1.0376856327056885, 1.0198822021484375, 1.007483720779419, 0.9952600598335266, 0.9830828309059143, 0.9713053107261658, 0.9602463841438293, 0.9498180747032166, 0.9396033883094788, 0.9299473166465759, 0.920415461063385, 0.9113157391548157, 0.9027380347251892, 0.8942671418190002, 0.8858368992805481, 0.8776858448982239, 0.8696336150169373, 0.8619583249092102, 0.854290783405304, 0.8468480706214905, 0.8393709063529968, 0.8320387005805969, 0.8248961567878723, 0.8178685307502747, 0.8109518885612488, 0.8040962815284729, 0.7971519827842712, 0.790439784526825, 0.783888041973114, 0.7774720788002014, 0.7711533904075623, 0.7649253010749817, 0.7588444352149963, 0.7528013586997986, 0.7468449473381042, 0.7409784197807312, 0.7352491021156311, 0.7294556498527527, 0.7238348126411438, 0.718346893787384, 0.7128484845161438, 0.7074804902076721, 0.7021750807762146, 0.6969426274299622, 0.6917871832847595, 0.6867786049842834, 0.6818230748176575, 0.6768826842308044, 0.6720125079154968, 0.667209804058075, 0.6623826622962952, 0.6577109694480896, 0.6531029343605042, 0.648559033870697, 0.6440814137458801, 0.6396641135215759, 0.6353108286857605, 0.6310181021690369, 0.6267817616462708, 0.6226003766059875, 0.6185293793678284, 0.6144683957099915, 0.610451877117157, 0.606486976146698, 0.6025728583335876, 0.5987083315849304, 0.5948941111564636, 0.5911290049552917, 0.5874137282371521, 0.5837480425834656, 0.5801321864128113, 0.5765717625617981, 0.5730127692222595, 0.5694944262504578, 0.5661430954933167, 0.5627778172492981, 0.5594640374183655, 0.5561977028846741, 0.552983820438385, 0.54981929063797, 0.5467049479484558, 0.5436412692070007, 0.5406286120414734, 0.5376747250556946, 0.5347614884376526, 0.53191739320755, 0.5291010737419128, 0.5264002680778503, 0.5238073468208313, 0.5211382508277893, 0.5185200572013855, 0.5159501433372498, 0.5134291052818298, 0.5109564661979675, 0.5085328221321106, 0.5061543583869934, 0.5038250088691711, 0.5015415549278259, 0.4993048310279846, 0.4971136450767517, 0.4949665665626526, 0.4928664565086365, 0.4908120036125183, 0.4888022541999817, 0.48683708906173706, 0.484913170337677, 0.4828808903694153, 0.48093217611312866, 0.4791349768638611, 0.47737640142440796, 0.47565680742263794, 0.4739745259284973, 0.47233015298843384, 0.47072142362594604, 0.46914857625961304, 0.4676111340522766, 0.46610742807388306, 0.46464985609054565, 0.4632137417793274, 0.461808979511261, 0.4604373574256897, 0.4590972065925598, 0.45778948068618774, 0.45651155710220337, 0.45526546239852905, 0.454048216342926, 0.45344871282577515, 0.452161967754364, 0.4510264992713928, 0.449920117855072, 0.44884055852890015, 0.4477880597114563, 0.4467615485191345, 0.44595545530319214, 0.4449806809425354, 0.44402867555618286, 0.442851722240448, 0.441950261592865, 0.44100528955459595, 0.44015198945999146, 0.43932026624679565, 0.4385102391242981, 0.4377221465110779, 0.4368700385093689, 0.4361199736595154, 0.43539053201675415, 0.43467897176742554, 0.4339856505393982, 0.4333084225654602, 0.4326487183570862, 0.43200546503067017, 0.43137651681900024, 0.43076270818710327, 0.4301632046699524, 0.42957645654678345, 0.4290011525154114, 0.42843717336654663, 0.4281633496284485, 0.427625834941864, 0.4270992875099182, 0.42659538984298706, 0.42609089612960815, 0.4255959391593933, 0.4251100420951843, 0.42463356256484985, 0.4241684079170227, 0.4235050082206726, 0.4230617880821228, 0.4226294159889221, 0.42214661836624146, 0.4217389225959778, 0.4214637875556946, 0.42095237970352173, 0.42059069871902466, 0.42022520303726196, 0.41989511251449585, 0.4195801615715027, 0.4192785620689392, 0.41898852586746216, 0.41870957612991333, 0.4184409976005554, 0.4181808829307556, 0.41792839765548706, 0.41768401861190796, 0.41744738817214966, 0.41721731424331665, 0.41699498891830444, 0.41678112745285034, 0.4165305495262146, 0.41633373498916626, 0.41614633798599243, 0.4159674048423767, 0.4156779646873474, 0.41551774740219116, 0.4153671860694885, 0.4152281880378723, 0.41509705781936646, 0.4149368405342102, 0.4148615002632141, 0.4147621989250183, 0.4146711230278015, 0.4145887494087219, 0.41449326276779175, 0.41441887617111206, 0.41460877656936646, 0.4145572781562805, 0.41451495885849, 0.4144797921180725, 0.4144517779350281, 0.41443079710006714, 0.4144590497016907, 0.4139094948768616, 0.4139123558998108, 0.4139212965965271, 0.4139360785484314, 0.4139561057090759, 0.4139811396598816, 0.41401034593582153, 0.41404658555984497, 0.41400986909866333, 0.4140542149543762, 0.4141032099723816, 0.4141579270362854, 0.41421693563461304, 0.41438955068588257, 0.414456307888031, 0.41453057527542114, 0.41478973627090454, 0.41488200426101685, 0.41496580839157104, 0.4150537848472595, 0.4151455760002136, 0.4152422547340393, 0.41534489393234253, 0.41545015573501587, 0.41556185483932495, 0.41567498445510864, 0.4157937169075012, 0.41591697931289673, 0.41582196950912476, 0.4159526228904724, 0.41608816385269165, 0.41622811555862427, 0.4163702130317688, 0.4165183901786804, 0.4167245030403137, 0.4168700575828552, 0.4170299172401428, 0.41719430685043335, 0.41736334562301636, 0.4175364375114441, 0.41771548986434937, 0.41797441244125366, 0.41816025972366333, 0.41835397481918335, 0.41836053133010864, 0.4184102416038513, 0.4186212420463562, 0.41883784532546997, 0.419062077999115, 0.41929346323013306, 0.4195297360420227, 0.41977447271347046, 0.42031508684158325, 0.4205701947212219, 0.42083197832107544, 0.42110222578048706, 0.4213811755180359, 0.42183536291122437, 0.42213040590286255, 0.4224342703819275, 0.42271679639816284, 0.42303234338760376, 0.42335742712020874, 0.42369014024734497, 0.4240310788154602, 0.424380362033844, 0.4248194098472595, 0.42518550157546997, 0.42556077241897583, 0.42594343423843384, 0.4263349175453186, 0.4267342686653137, 0.4271206259727478, 0.42753762006759644, 0.42796391248703003, 0.42822176218032837, 0.42881065607070923, 0.4290810227394104, 0.4295418858528137, 0.4300127625465393, 0.4304906725883484, 0.43097811937332153, 0.43147391080856323, 0.4319726824760437, 0.4323738217353821, 0.4336552023887634, 0.4342185854911804, 0.4347917437553406, 0.4353758692741394], forces=[(-0.005743404850363731, 0.016080087050795555, -0.00042783375829458237), (0.011110911145806313, 0.015572749078273773, 0.03180616721510887), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0004973342292942107, 0.008152390830218792, 0.01619735360145569), (0.010254431515932083, 0.014972123317420483, 0.037379611283540726), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005899572279304266, -0.0017725223442539573, 0.0016106081893667579), (-0.0007284138118848205, 0.01753322221338749, 0.02404308319091797), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007994050160050392, 0.013173800893127918, 0.007028377614915371), (0.01031144056469202, -0.015426240861415863, 0.030429473146796227), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006058374885469675, 0.010471557267010212, 0.018690235912799835), (0.004672762472182512, 0.0021103594917804003, 0.02232477441430092), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0073786512948572636, 0.006951792165637016, 0.009613717906177044), (-0.035787709057331085, 0.015707677230238914, -0.0410601980984211), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.000822690490167588, 0.011357423849403858, 0.01807086355984211), (0.0015477734850719571, 0.014362444169819355, 0.03621157258749008), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0011487259762361646, 0.010068736039102077, 0.025468086823821068), (0.0017258599400520325, 0.02150079607963562, 0.03720364719629288), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0036618781741708517, 0.0076492344960570335, 0.022717025130987167), (0.0009667361155152321, 0.022063450887799263, 0.03136313706636429), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016735084354877472, -0.07177950441837311, 0.0034849585499614477), (-0.014155660755932331, -0.20012712478637695, -0.03353506326675415)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=4, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8465576171875, 0.014003453776240349, 16.95315933227539), (1.3968122005462646, 1.4288522005081177, 18.848081588745117), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.856516122817993, 2.8082635402679443, 16.949626922607422), (1.4020270109176636, 4.254478931427002, 18.845487594604492), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8343353271484375, 5.657769680023193, 16.92010498046875), (1.4012149572372437, 7.056838512420654, 18.846261978149414), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.621212482452393, 0.022002579644322395, 16.96906089782715), (4.157079696655273, 1.613146185874939, 19.022220611572266), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.63598108291626, 2.8216090202331543, 16.93490982055664), (4.2431793212890625, 4.2960333824157715, 18.874601364135742), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.636870384216309, 5.662463665008545, 16.917036056518555), (4.222192287445068, 7.016746520996094, 18.943119049072266), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.47092342376709, 0.003034221241250634, 16.90146827697754), (7.108486652374268, 1.4416275024414062, 18.822715759277344), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.478131294250488, 2.8343899250030518, 16.890830993652344), (7.071963310241699, 4.250560760498047, 18.839981079101562), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.471022605895996, 5.644534111022949, 16.89268684387207), (7.080188751220703, 7.049808979034424, 18.830698013305664), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.573429107666016, 0.48097309470176697, 20.656999588012695), (3.9440701007843018, 0.7266345024108887, 21.37116813659668)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.7660233378410339, energy_trajectory=[1.644968032836914, 1.6323294639587402, 1.622438669204712, 1.6131839752197266, 1.6043040752410889, 1.5955476760864258, 1.5869438648223877, 1.5785744190216064, 1.5702838897705078, 1.5620880126953125, 1.5539662837982178, 1.5461101531982422, 1.5382506847381592, 1.5306296348571777, 1.5229146480560303, 1.515272855758667, 1.5078275203704834, 1.5004386901855469, 1.4930412769317627, 1.4855101108551025, 1.4782967567443848, 1.4710488319396973, 1.463782787322998, 1.456968069076538, 1.4499197006225586, 1.4428808689117432, 1.4360401630401611, 1.429161787033081, 1.4222867488861084, 1.4153621196746826, 1.40863037109375, 1.401921272277832, 1.3953065872192383, 1.3887577056884766, 1.3822941780090332, 1.3758273124694824, 1.3694393634796143, 1.3630762100219727, 1.3567638397216797, 1.3506286144256592, 1.3444092273712158, 1.338233232498169, 1.3321073055267334, 1.3260273933410645, 1.3199183940887451, 1.313908338546753, 1.307964563369751, 1.3020625114440918, 1.2961854934692383, 1.2903594970703125, 1.284623622894287, 1.2788872718811035, 1.2732386589050293, 1.2676162719726562, 1.2620551586151123, 1.2565200328826904, 1.2510347366333008, 1.2455942630767822, 1.2401952743530273, 1.2348473072052002, 1.2295382022857666, 1.2242722511291504, 1.2190420627593994, 1.2140753269195557, 1.2089383602142334, 1.20383620262146, 1.198772668838501, 1.1937472820281982, 1.1887598037719727, 1.1838066577911377, 1.178894281387329, 1.1740186214447021, 1.1691796779632568, 1.1643784046173096, 1.1597092151641846, 1.1550912857055664, 1.1504111289978027, 1.1457693576812744, 1.1410930156707764, 1.1365303993225098, 1.1319615840911865, 1.1274795532226562, 1.1230390071868896, 1.1186375617980957, 1.1142754554748535, 1.1099579334259033, 1.1056795120239258, 1.1014420986175537, 1.097245693206787, 1.093090534210205, 1.088977336883545, 1.0849061012268066, 1.0808744430541992, 1.07688570022583, 1.072831630706787, 1.06892728805542, 1.0650618076324463, 1.061239242553711, 1.0574588775634766, 1.0537199974060059, 1.0500211715698242, 1.0463643074035645, 1.0429284572601318, 1.0393505096435547, 1.0358123779296875, 1.032315731048584, 1.0288589000701904, 1.025442123413086, 1.0220658779144287, 1.0187320709228516, 1.0154876708984375, 1.0123300552368164, 1.0091118812561035, 1.0059332847595215, 1.0027287006378174, 0.9996270537376404, 0.9965644478797913, 0.993537962436676, 0.9905497431755066, 0.9877215027809143, 0.9848112463951111, 0.9819361567497253, 0.9790974259376526, 0.9762948155403137, 0.9735271334648132, 0.9707950949668884, 0.9680961966514587, 0.9654327034950256, 0.9628042578697205, 0.9602096676826477, 0.9576502442359924, 0.9551284909248352, 0.9526351094245911, 0.9501768946647644, 0.9477519392967224, 0.9453609585762024, 0.9430021643638611, 0.9406777024269104, 0.9383857846260071, 0.9361256957054138, 0.9338980317115784, 0.9317029118537903, 0.9295393824577332, 0.9274082779884338, 0.925308883190155, 0.9232400059700012, 0.9212018847465515, 0.9191951155662537, 0.917164146900177, 0.9150621294975281, 0.913145124912262, 0.9112553000450134, 0.9093956351280212, 0.9075636267662048, 0.9064627289772034, 0.9048498272895813, 0.9031087756156921, 0.901502788066864, 0.8998209834098816, 0.898165762424469, 0.8965368866920471, 0.894859254360199, 0.8933988213539124, 0.8918470740318298, 0.8903226256370544, 0.8888229727745056, 0.8872767090797424, 0.8858271241188049, 0.8844050765037537, 0.8830066323280334, 0.8816331028938293, 0.880283534526825, 0.8789860606193542, 0.8776858448982239, 0.8764092326164246, 0.8751549124717712, 0.8739228844642639, 0.8727133870124817, 0.8713153004646301, 0.8701403737068176, 0.8689929842948914, 0.8678668141365051, 0.8667593598365784, 0.865671694278717, 0.8646021485328674, 0.8635507225990295, 0.8624228835105896, 0.8614042401313782, 0.8603995442390442, 0.8594109416007996, 0.8584368824958801, 0.8574778437614441, 0.8565314412117004, 0.8555974364280701, 0.8548226952552795, 0.8539124131202698, 0.853013813495636, 0.8521259427070618, 0.851249635219574, 0.850290834903717, 0.8495442271232605, 0.8486965298652649, 0.8478583693504333, 0.8470286726951599, 0.8462088704109192, 0.8453975319862366, 0.844595730304718, 0.8438020348548889, 0.8414899706840515, 0.8407027125358582, 0.8399245142936707, 0.8392459750175476, 0.838482677936554, 0.8374741673469543, 0.8367246985435486, 0.8359816670417786, 0.835244357585907, 0.8345127701759338, 0.8337870240211487, 0.8331760764122009, 0.832460343837738, 0.8317477107048035, 0.8310390114784241, 0.8303346037864685, 0.8296322226524353, 0.8289324641227722, 0.8282355666160583, 0.82753986120224, 0.8268453478813171, 0.8261498808860779, 0.8254554867744446, 0.8247607350349426, 0.8240637183189392, 0.8233667016029358, 0.8226683735847473, 0.8219309449195862, 0.8212278485298157, 0.8205226063728333, 0.8198143839836121, 0.8191035389900208, 0.8183887600898743, 0.8176695704460144, 0.8169465661048889, 0.8162184357643127, 0.8154906630516052, 0.8149356245994568, 0.814191997051239, 0.8134447932243347, 0.8125911355018616, 0.8116903901100159, 0.8109274506568909, 0.8101584315299988, 0.8093844056129456, 0.8086052536964417, 0.8078191876411438, 0.8070282340049744, 0.8062301278114319, 0.8054271340370178, 0.8046188950538635, 0.8038031458854675, 0.8029829859733582, 0.8021546006202698, 0.8013212084770203, 0.8006971478462219, 0.7999212145805359, 0.7990668416023254, 0.7982062697410583, 0.7973393797874451, 0.7964938282966614, 0.7956145405769348, 0.7947264313697815, 0.7938340306282043, 0.7929343581199646, 0.7920270562171936, 0.7911142706871033, 0.7901938557624817, 0.7892674803733826, 0.788425624370575, 0.7874882817268372, 0.7865419983863831, 0.7855892777442932, 0.7846303582191467, 0.7836658358573914, 0.7826935648918152, 0.7817162871360779, 0.7807324528694153, 0.7797420620918274, 0.7787476181983948, 0.7777467370033264, 0.7767401337623596, 0.7757287621498108, 0.7747122645378113, 0.7736920714378357, 0.7722838521003723, 0.7712517380714417, 0.7702144980430603, 0.7691732048988342, 0.7681277394294739, 0.7670772671699524, 0.7660233378410339], forces=[(-0.006535669323056936, 0.005489102099090815, 0.009735495783388615), (-0.005890377797186375, 0.004361359868198633, 0.02450697124004364), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009460137225687504, 0.015719523653388023, 0.008425629697740078), (-0.00016995336045511067, 0.0026390464045107365, 0.02308293990790844), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007263497915118933, 0.01546395756304264, 0.026049157604575157), (-0.003313591005280614, 0.009252750314772129, 0.0258067324757576), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004190252628177404, 0.0031177077908068895, 0.00419853487983346), (0.01623595505952835, -0.019756508991122246, -0.006626572925597429), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0035356509033590555, 0.009503046050667763, 0.008794525638222694), (-3.9795868360670283e-05, 0.008110825903713703, 0.03080694004893303), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006295838858932257, 0.011887720786035061, 0.0221725944429636), (-0.0020767170935869217, 0.03982513025403023, 0.07302592694759369), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005534338764846325, 0.0046065812930464745, 0.013049504719674587), (-0.02491334266960621, 0.0008067889721132815, 0.029599562287330627), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007986967451870441, 0.00044568482553586364, 0.014921637251973152), (-0.003327329410240054, 0.0024868494365364313, 0.025087136775255203), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0021686626132577658, 0.0032934893388301134, 0.013780511915683746), (-0.005686605349183083, 0.011525416746735573, 0.027387313544750214), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009611575864255428, -0.13152077794075012, -0.05168987065553665), (-0.09686052799224854, -0.18893297016620636, -0.1796485036611557)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=5, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8095052242279053, -0.007744889240711927, 16.922910690307617), (1.3199936151504517, 1.4476549625396729, 18.84505271911621), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.807589292526245, 2.8298180103302, 16.909685134887695), (1.4050565958023071, 4.218542098999023, 18.879627227783203), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.805947780609131, 5.631267070770264, 16.911523818969727), (1.304329514503479, 6.957962989807129, 18.82085609436035), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.64401912689209, -0.007404022850096226, 16.916566848754883), (4.309445858001709, 1.5144110918045044, 18.82821273803711), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.63046932220459, 2.8177876472473145, 16.94650650024414), (4.2139739990234375, 4.242613792419434, 18.885723114013672), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.617429256439209, 5.649118423461914, 16.948741912841797), (4.251779079437256, 6.974593162536621, 18.882890701293945), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.447821617126465, -0.010441599413752556, 16.909835815429688), (7.057846546173096, 1.3989038467407227, 18.882606506347656), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.45218276977539, 2.814889669418335, 16.92363739013672), (7.056379795074463, 4.234391212463379, 18.882837295532227), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.432713508605957, 5.618312835693359, 16.901819229125977), (7.037024021148682, 7.055532932281494, 18.883955001831055), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (3.2115678787231445, 0.2129034847021103, 20.123523712158203), (3.497708797454834, 0.4330149292945862, 21.03223991394043)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.984247624874115, energy_trajectory=[3.067089319229126, 3.0328714847564697, 3.0032706260681152, 2.9756088256835938, 2.9483158588409424, 2.9214298725128174, 2.8949036598205566, 2.8684732913970947, 2.842222213745117, 2.8152966499328613, 2.7894182205200195, 2.7644829750061035, 2.738981246948242, 2.713466167449951, 2.6889901161193848, 2.66559100151062, 2.643017530441284, 2.621519088745117, 2.601550340652466, 2.581458806991577, 2.562252998352051, 2.5435903072357178, 2.525714874267578, 2.5082783699035645, 2.4913570880889893, 2.474900722503662, 2.4588770866394043, 2.4435341358184814, 2.428274393081665, 2.4136862754821777, 2.399266242980957, 2.3849990367889404, 2.3712456226348877, 2.3578269481658936, 2.344782590866089, 2.332045793533325, 2.319594383239746, 2.307420492172241, 2.2957940101623535, 2.284120559692383, 2.2724015712738037, 2.2612905502319336, 2.250244379043579, 2.2397332191467285, 2.2290830612182617, 2.218587636947632, 2.208249092102051, 2.1980435848236084, 2.1879734992980957, 2.178032398223877, 2.168168306350708, 2.1584811210632324, 2.1486406326293945, 2.139206647872925, 2.129884719848633, 2.1207001209259033, 2.1115944385528564, 2.1025853157043457, 2.093801498413086, 2.085084915161133, 2.0762975215911865, 2.0675649642944336, 2.05888295173645, 2.05025053024292, 2.041663646697998, 2.0331225395202637, 2.024627447128296, 2.0161807537078857, 2.0077810287475586, 1.99942946434021, 1.9911293983459473, 1.9828784465789795, 1.9746778011322021, 1.9665272235870361, 1.9584286212921143, 1.950383186340332, 1.9423887729644775, 1.9344394207000732, 1.9265446662902832, 1.9187045097351074, 1.9109160900115967, 1.9031765460968018, 1.8955833911895752, 1.8879461288452148, 1.8803553581237793, 1.8728113174438477, 1.8653128147125244, 1.8578605651855469, 1.850459098815918, 1.8431172370910645, 1.8358044624328613, 1.8285369873046875, 1.8213131427764893, 1.814131259918213, 1.8069915771484375, 1.7998943328857422, 1.792842149734497, 1.7858309745788574, 1.7788634300231934, 1.771944522857666, 1.7650768756866455, 1.7582592964172363, 1.7514944076538086, 1.7447898387908936, 1.738147497177124, 1.7315781116485596, 1.7250831127166748, 1.7186355590820312, 1.7123515605926514, 1.7059926986694336, 1.6997871398925781, 1.6936075687408447, 1.6875512599945068, 1.6815667152404785, 1.6756563186645508, 1.6698169708251953, 1.6640450954437256, 1.6583397388458252, 1.6527023315429688, 1.6470947265625, 1.641563892364502, 1.636115312576294, 1.6307225227355957, 1.6253795623779297, 1.620086669921875, 1.614872694015503, 1.6096737384796143, 1.604515552520752, 1.599395751953125, 1.5943174362182617, 1.5892715454101562, 1.5842595100402832, 1.5792558193206787, 1.5743062496185303, 1.5693838596343994, 1.564486026763916, 1.5595366954803467, 1.5546925067901611, 1.5498731136322021, 1.5450787544250488, 1.5402565002441406, 1.5355184078216553, 1.5308010578155518, 1.5260810852050781, 1.5214133262634277, 1.5167686939239502, 1.51216721534729, 1.5075724124908447, 1.5029997825622559, 1.4984488487243652, 1.4939188957214355, 1.4894092082977295, 1.4850246906280518, 1.4805552959442139, 1.4761064052581787, 1.471674919128418, 1.4672625064849854, 1.462867021560669, 1.4581298828125, 1.4537672996520996, 1.4494221210479736, 1.444868803024292, 1.4405572414398193, 1.4362564086914062, 1.431971549987793, 1.4276986122131348, 1.4234399795532227, 1.419191837310791, 1.4149560928344727, 1.4107334613800049, 1.4065232276916504, 1.4023241996765137, 1.3981366157531738, 1.3939621448516846, 1.3897252082824707, 1.385572910308838, 1.38142991065979, 1.3773016929626465, 1.3731815814971924, 1.369074821472168, 1.3649780750274658, 1.3608920574188232, 1.3567519187927246, 1.3526921272277832, 1.3486435413360596, 1.3446080684661865, 1.340583324432373, 1.3364579677581787, 1.3324611186981201, 1.3286380767822266, 1.3246703147888184, 1.3207123279571533, 1.3167681694030762, 1.3128368854522705, 1.308917760848999, 1.30501127243042, 1.3011181354522705, 1.2972362041473389, 1.293367862701416, 1.2895135879516602, 1.2858197689056396, 1.2819890975952148, 1.2782855033874512, 1.2744815349578857, 1.270366907119751, 1.2664318084716797, 1.2626571655273438, 1.2588934898376465, 1.2551419734954834, 1.2514030933380127, 1.2476751804351807, 1.2439591884613037, 1.2400405406951904, 1.2363462448120117, 1.2326629161834717, 1.2289235591888428, 1.2252650260925293, 1.221618890762329, 1.2179815769195557, 1.2143588066101074, 1.210745096206665, 1.2071435451507568, 1.2035517692565918, 1.199974536895752, 1.196406602859497, 1.1928529739379883, 1.1893112659454346, 1.1857805252075195, 1.1822640895843506, 1.178760290145874, 1.1752731800079346, 1.171800136566162, 1.168339490890503, 1.164896011352539, 1.1614689826965332, 1.1580603122711182, 1.1546635627746582, 1.1508293151855469, 1.1474707126617432, 1.1441326141357422, 1.1408090591430664, 1.1373605728149414, 1.134077787399292, 1.1308133602142334, 1.1275718212127686, 1.124347448348999, 1.1211442947387695, 1.1179635524749756, 1.1148030757904053, 1.1116697788238525, 1.1085550785064697, 1.1054604053497314, 1.1023900508880615, 1.0993425846099854, 1.0963163375854492, 1.0933113098144531, 1.0903310775756836, 1.0873737335205078, 1.0844368934631348, 1.0815260410308838, 1.0786364078521729, 1.0757720470428467, 1.0729162693023682, 1.0700976848602295, 1.0672986507415771, 1.0645248889923096, 1.0615241527557373, 1.0586402416229248, 1.0559289455413818, 1.0532431602478027, 1.0505805015563965, 1.0479402542114258, 1.0453221797943115, 1.0427262783050537, 1.0401520729064941, 1.037482500076294, 1.034961223602295, 1.0324647426605225, 1.0299952030181885, 1.0275864601135254, 1.0251696109771729, 1.0227792263031006, 1.0204131603240967, 1.0180721282958984, 1.0157577991485596, 1.0134656429290771, 1.0111980438232422, 1.008955478668213, 1.006737232208252, 1.0045413970947266, 1.0023682117462158, 1.0002200603485107, 0.9980944991111755, 0.9959918856620789, 0.9939116835594177, 0.9921318888664246, 0.9901012778282166, 0.9881988167762756, 0.9862120747566223, 0.984247624874115], forces=[(0.0075325011275708675, 0.008243969641625881, 0.04339921101927757), (-0.011220564134418964, -0.009687574580311775, -0.019869334995746613), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0023834407329559326, -0.01358948927372694, 0.0006503215408883989), (-0.020153461024165154, 0.004876146093010902, -0.036655329167842865), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0007522888481616974, 0.00889612827450037, -0.005420906003564596), (0.045085664838552475, 0.05911170318722725, -0.014858264476060867), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.026563407853245735, 0.003499342128634453, 0.010566589422523975), (-0.013126044534146786, 0.02044094353914261, 0.11535418778657913), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03008626215159893, -0.015324600972235203, 0.0007167888106778264), (-0.013331481255590916, 0.005209353286772966, -0.014913292601704597), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010793321765959263, -0.002391690155491233, -0.019397011026740074), (-0.019286200404167175, 0.004209222737699747, 0.05274447798728943), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004273971542716026, -0.000320058868965134, -0.016252128407359123), (-0.008339189924299717, -0.0012056156992912292, -0.026564402505755424), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.025076856836676598, 0.011061434634029865, -0.04829665645956993), (-0.0008422791725024581, -3.7758934468001826e-06, -0.028569607064127922), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006841529160737991, 0.0017142081633210182, -0.025321615859866142), (0.0010187615407630801, -0.006779852788895369, -0.029951678588986397), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.3100186884403229, 0.11527657508850098, 0.17138539254665375), (0.06371696293354034, -0.1303606927394867, 0.3008124828338623)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=6, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8180973529815674, -0.005679597146809101, 16.90596580505371), (1.4179331064224243, 1.3953776359558105, 18.862289428710938), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.844963788986206, 2.8331408500671387, 16.94266700744629), (1.4521913528442383, 4.2218217849731445, 18.889545440673828), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8468780517578125, 5.623506546020508, 16.95272445678711), (1.418249487876892, 7.064441204071045, 18.865007400512695), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.642448902130127, -0.0041563017293810844, 16.91069984436035), (4.2220940589904785, 1.3865633010864258, 18.84581756591797), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.644735813140869, 2.837648391723633, 16.96041488647461), (4.161916732788086, 4.278789520263672, 19.02431297302246), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6471052169799805, 5.6248369216918945, 16.953445434570312), (4.237554550170898, 7.078414440155029, 18.865612030029297), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.476606369018555, -0.010503346100449562, 16.8999080657959), (7.0774359703063965, 1.3637866973876953, 18.832067489624023), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.474278450012207, 2.821743965148926, 16.924835205078125), (7.219426155090332, 4.231670379638672, 18.939607620239258), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.466142654418945, 5.619023323059082, 16.93939208984375), (7.070201873779297, 7.061849117279053, 18.85166358947754), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.800631523132324, 4.011824131011963, 20.464738845825195), (5.94863748550415, 4.790713310241699, 21.04290771484375)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.49809545278549194, energy_trajectory=[1.6644108295440674, 1.6460227966308594, 1.633315086364746, 1.620603322982788, 1.6079795360565186, 1.5953781604766846, 1.5847704410552979, 1.5742204189300537, 1.56435227394104, 1.5550057888031006, 1.5462074279785156, 1.5378303527832031, 1.5296788215637207, 1.5218391418457031, 1.5140533447265625, 1.5065631866455078, 1.4991724491119385, 1.4919312000274658, 1.4848008155822754, 1.4777607917785645, 1.4708051681518555, 1.4639229774475098, 1.4570715427398682, 1.4502999782562256, 1.4436140060424805, 1.436772346496582, 1.4300737380981445, 1.4234483242034912, 1.416710376739502, 1.410151720046997, 1.4036197662353516, 1.39711594581604, 1.3906357288360596, 1.3841767311096191, 1.3777363300323486, 1.371319055557251, 1.3649144172668457, 1.3585383892059326, 1.3521630764007568, 1.3458011150360107, 1.3394501209259033, 1.333111047744751, 1.326781988143921, 1.3204293251037598, 1.3141722679138184, 1.3078746795654297, 1.3015825748443604, 1.2952191829681396, 1.2889351844787598, 1.2827398777008057, 1.276400089263916, 1.2701399326324463, 1.2638964653015137, 1.257702350616455, 1.2514822483062744, 1.2452762126922607, 1.2390813827514648, 1.2328965663909912, 1.2267258167266846, 1.2205595970153809, 1.2143993377685547, 1.2082476615905762, 1.2021048069000244, 1.1958651542663574, 1.1897339820861816, 1.1836121082305908, 1.1774990558624268, 1.1714298725128174, 1.1653401851654053, 1.1592605113983154, 1.1531970500946045, 1.1471452713012695, 1.1411097049713135, 1.1350855827331543, 1.1290810108184814, 1.1230952739715576, 1.117128610610962, 1.1112768650054932, 1.1052625179290771, 1.0993554592132568, 1.0934710502624512, 1.0876069068908691, 1.0817677974700928, 1.0748460292816162, 1.069054365158081, 1.0632829666137695, 1.0575368404388428, 1.051792860031128, 1.0461006164550781, 1.0405409336090088, 1.0349071025848389, 1.0293021202087402, 1.0237257480621338, 1.018099069595337, 1.0125820636749268, 1.0070977210998535, 1.0016436576843262, 0.9962239861488342, 0.9908356070518494, 0.9854834675788879, 0.9801681637763977, 0.9748963713645935, 0.969657838344574, 0.9644574522972107, 0.9592960476875305, 0.9541723132133484, 0.9490888714790344, 0.9440463185310364, 0.9390458464622498, 0.934084951877594, 0.9291686415672302, 0.9242939352989197, 0.9194620251655579, 0.9146718382835388, 0.9099234938621521, 0.9052190184593201, 0.9005590081214905, 0.8959406018257141, 0.8913679718971252, 0.8868386149406433, 0.8823782801628113, 0.8776734471321106, 0.8732753396034241, 0.8689222931861877, 0.8646114468574524, 0.8603463768959045, 0.8561237454414368, 0.8519434332847595, 0.8478063941001892, 0.8437089323997498, 0.8396533131599426, 0.835681140422821, 0.8317044377326965, 0.8277658820152283, 0.8238679766654968, 0.8200070261955261, 0.816183865070343, 0.8123974204063416, 0.8086476922035217, 0.8049346804618835, 0.8012592196464539, 0.7976167798042297, 0.7940135598182678, 0.7904447913169861, 0.7869113087654114, 0.783414900302887, 0.77997225522995, 0.7765284180641174, 0.7731338143348694, 0.769775927066803, 0.7664524912834167, 0.7631600499153137, 0.7599052786827087, 0.7566837668418884, 0.753494918346405, 0.7503377795219421, 0.7472136616706848, 0.7441224455833435, 0.7409641146659851, 0.7379410862922668, 0.7348182797431946, 0.7318528294563293, 0.7290506958961487, 0.7261418700218201, 0.7232441306114197, 0.720396101474762, 0.7176459431648254, 0.7148547768592834, 0.7120913863182068, 0.7093556523323059, 0.7066479325294495, 0.7039676308631897, 0.7013046145439148, 0.6986773610115051, 0.6958720088005066, 0.6932967305183411, 0.6907457709312439, 0.6882205605506897, 0.685717761516571, 0.683238685131073, 0.6808393597602844, 0.6784073710441589, 0.6759974360466003, 0.6734347939491272, 0.6710689663887024, 0.6687247157096863, 0.6667601466178894, 0.6644580960273743, 0.6621785759925842, 0.6599192023277283, 0.657681405544281, 0.6554633975028992, 0.6532667279243469, 0.6511353850364685, 0.6489775776863098, 0.6468388438224792, 0.6447197794914246, 0.6426189541816711, 0.6405391097068787, 0.638476550579071, 0.6364335417747498, 0.6344090104103088, 0.6324025988578796, 0.6304143071174622, 0.6284448504447937, 0.6264929175376892, 0.62455815076828, 0.6226951479911804, 0.6207969784736633, 0.6189152598381042, 0.6170502305030823, 0.6152012944221497, 0.613368570804596, 0.611552894115448, 0.6097528338432312, 0.6079687476158142, 0.6062011122703552, 0.6044486165046692, 0.6027114987373352, 0.6009901165962219, 0.5992839932441711, 0.5975927710533142, 0.5959166884422302, 0.5942556262016296, 0.5926082730293274, 0.5909417271614075, 0.5893213152885437, 0.5877150893211365, 0.586123526096344, 0.5845449566841125, 0.5829799771308899, 0.5814278721809387, 0.5798895955085754, 0.5783630013465881, 0.5768484473228455, 0.575346052646637, 0.5738559365272522, 0.5723772644996643, 0.5709105134010315, 0.5694525837898254, 0.5680950284004211, 0.5666596293449402, 0.5652366280555725, 0.5638218522071838, 0.5624489188194275, 0.5609717965126038, 0.5595950484275818, 0.558245837688446, 0.5568870902061462, 0.5555379986763, 0.5541964173316956, 0.5528647303581238, 0.5515411496162415, 0.5502273440361023, 0.5489217638969421, 0.5476263165473938, 0.546337902545929, 0.5450590252876282, 0.54374760389328, 0.5424867272377014, 0.5412557721138, 0.5398584008216858, 0.5386224389076233, 0.5373952984809875, 0.5361766219139099, 0.5351417660713196, 0.5339365601539612, 0.53274005651474, 0.5315513014793396, 0.5303687453269958, 0.5291947722434998, 0.5280285477638245, 0.5268701910972595, 0.5257195830345154, 0.5245758891105652, 0.5234399437904358, 0.5223107933998108, 0.5210514664649963, 0.5199357867240906, 0.5189152359962463, 0.5178150534629822, 0.5167210698127747, 0.5156329274177551, 0.5145516991615295, 0.5134779810905457, 0.5124107003211975, 0.5113500952720642, 0.5102953314781189, 0.5092465281486511, 0.5082046389579773, 0.5071682333946228, 0.5061388611793518, 0.5051137804985046, 0.5040953755378723, 0.5030816197395325, 0.5020735859870911, 0.5010715126991272, 0.5000752806663513, 0.49908334016799927, 0.49809545278549194], forces=[(0.005336882546544075, -0.004487224388867617, -0.010721039026975632), (0.005026116035878658, -0.00603913189843297, -0.013925141654908657), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005334886722266674, -0.003993194084614515, -0.013249465264379978), (0.011570217087864876, -0.00665676686912775, -0.002729294588789344), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012333042919635773, -0.0060769012197852135, 0.0010741723235696554), (0.00744224525988102, -0.00044948089634999633, -0.013026459142565727), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0037335006054490805, -0.002183806849643588, -0.009114247746765614), (0.0067438711412250996, -0.0020890035666525364, -0.011688647791743279), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012072381563484669, 0.008783694356679916, 0.003586740465834737), (0.017610972747206688, -0.023833075538277626, -0.003331313142552972), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009691410697996616, -0.009853988885879517, 0.004999810829758644), (0.0092038344591856, -0.007639648858457804, -0.006230494938790798), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0019754143431782722, -0.0020314771682024, -0.012470046989619732), (0.007921213284134865, 0.007151799276471138, -0.009810558520257473), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0017220695735886693, 0.006174317095428705, -0.0002733920409809798), (0.004261465277522802, 0.01975158415734768, 0.0554712675511837), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01072484441101551, -0.003335765562951565, -0.004835272207856178), (0.00801321305334568, -0.0030578868463635445, -0.009580009616911411), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.10534270852804184, 0.0761723741889, -0.0017073095077648759), (-0.2577514946460724, 0.08027926087379456, -0.0684998631477356)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=7, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8445851802825928, 0.024888992309570312, 16.946521759033203), (1.3666688203811646, 1.4140139818191528, 18.83727264404297), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.83469820022583, 2.806025743484497, 16.939411163330078), (1.4012956619262695, 4.243840217590332, 18.838218688964844), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8187711238861084, 5.645374298095703, 16.89870262145996), (1.4035067558288574, 7.045046329498291, 18.839284896850586), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.6273016929626465, 0.011622804217040539, 16.931692123413086), (4.174069404602051, 1.3883076906204224, 19.040790557861328), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.616391181945801, 2.7999467849731445, 16.94402503967285), (4.230162620544434, 4.2626543045043945, 18.834245681762695), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.647381782531738, 5.640151500701904, 16.89910888671875), (4.237889766693115, 7.028620719909668, 18.835521697998047), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.466414451599121, -0.005292568821460009, 16.897937774658203), (7.057456970214844, 1.40249764919281, 18.825828552246094), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.460827827453613, 2.824681043624878, 16.898826599121094), (7.061575889587402, 4.234276294708252, 18.836082458496094), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.464529037475586, 5.641609191894531, 16.89761734008789), (7.065194606781006, 7.044325828552246, 18.83841323852539), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.221026420593262, 1.4900696277618408, 21.018268585205078), (5.1321868896484375, 1.2398775815963745, 21.27762222290039)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8594834208488464, energy_trajectory=[1.4644615650177002, 1.4520900249481201, 1.442241907119751, 1.4324510097503662, 1.4229824542999268, 1.413463830947876, 1.404381275177002, 1.394977331161499, 1.3857572078704834, 1.3768713474273682, 1.368133544921875, 1.359633207321167, 1.3513157367706299, 1.3431615829467773, 1.3349251747131348, 1.3271193504333496, 1.3193764686584473, 1.31172513961792, 1.3039798736572266, 1.2964293956756592, 1.289093255996704, 1.2817697525024414, 1.2743606567382812, 1.267214298248291, 1.2601470947265625, 1.2531654834747314, 1.246453046798706, 1.239685297012329, 1.2327301502227783, 1.2260520458221436, 1.2194552421569824, 1.2129294872283936, 1.2064766883850098, 1.2000980377197266, 1.1937854290008545, 1.1872727870941162, 1.1811017990112305, 1.174832820892334, 1.1687843799591064, 1.1627981662750244, 1.1568748950958252, 1.1510157585144043, 1.1452186107635498, 1.1394383907318115, 1.133760690689087, 1.1274185180664062, 1.121858835220337, 1.116363763809204, 1.1109004020690918, 1.1052443981170654, 1.0999383926391602, 1.0946955680847168, 1.0895154476165771, 1.0842435359954834, 1.0791778564453125, 1.0741970539093018, 1.0692780017852783, 1.0644264221191406, 1.0594532489776611, 1.054774522781372, 1.0501224994659424, 1.0455358028411865, 1.0410113334655762, 1.036552906036377, 1.0321612358093262, 1.0278303623199463, 1.0235674381256104, 1.0193352699279785, 1.0152103900909424, 1.0111546516418457, 1.0071053504943848, 1.0028538703918457, 0.998968780040741, 0.9952002167701721, 0.9915053248405457, 0.9878829121589661, 0.9843341708183289, 0.9808588624000549, 0.9774578213691711, 0.9741318821907043, 0.9709393382072449, 0.9677639603614807, 0.9646599888801575, 0.961630642414093, 0.9585320353507996, 0.9556512236595154, 0.9528421759605408, 0.9501065611839294, 0.9474412798881531, 0.9448481202125549, 0.9423598647117615, 0.9399074912071228, 0.9375237822532654, 0.935234010219574, 0.9330241084098816, 0.9308478236198425, 0.9286655783653259, 0.9266254305839539, 0.9243600964546204, 0.9224869608879089, 0.920635998249054, 0.9188498854637146, 0.9171302914619446, 0.9154741168022156, 0.9138839840888977, 0.912364661693573, 0.9109006524085999, 0.9094610810279846, 0.9081316590309143, 0.9068698287010193, 0.9058218598365784, 0.9041697382926941, 0.9031088948249817, 0.9021127820014954, 0.9011804461479187, 0.9003096222877502, 0.899592936038971, 0.8986894488334656, 0.8979811072349548, 0.8973185420036316, 0.8966994881629944, 0.8961175084114075, 0.8955705761909485, 0.8950524926185608, 0.8945629000663757, 0.8940972685813904, 0.8936558365821838, 0.8932320475578308, 0.892763078212738, 0.892367422580719, 0.8920015692710876, 0.8916569352149963, 0.891333281993866, 0.8910282254219055, 0.8907411694526672, 0.8905234932899475, 0.8902682662010193, 0.8900259137153625, 0.8897947669029236, 0.8895754218101501, 0.8893633484840393, 0.8891589045524597, 0.8889607787132263, 0.8888128399848938, 0.8886224627494812, 0.8885340094566345, 0.888353168964386, 0.8881765007972717, 0.8880018591880798, 0.887822687625885, 0.8876522183418274, 0.8874852061271667, 0.8873174786567688, 0.8871503472328186, 0.8869852423667908, 0.8868188261985779, 0.88665372133255, 0.8864865899085999, 0.8863207697868347, 0.8861542344093323, 0.8859863877296448, 0.8859656453132629, 0.8857966065406799, 0.8856260180473328, 0.8861933350563049, 0.8860229849815369, 0.8858509659767151, 0.8856778740882874, 0.8854525685310364, 0.8852764964103699, 0.8850975632667542, 0.8849171996116638, 0.8847348093986511, 0.884549081325531, 0.8843633532524109, 0.8841752409934998, 0.883984386920929, 0.8837929368019104, 0.8835976719856262, 0.8834025263786316, 0.8832034468650818, 0.8830040097236633, 0.882802426815033, 0.8824047446250916, 0.8821988701820374, 0.881992518901825, 0.8817844986915588, 0.8815745711326599, 0.881363570690155, 0.8815425038337708, 0.8813281655311584, 0.8811107277870178, 0.8808935284614563, 0.8806738257408142, 0.8805432915687561, 0.8803206086158752, 0.8800978064537048, 0.8798726201057434, 0.8796489834785461, 0.8794224858283997, 0.8793650269508362, 0.8791090846061707, 0.8788519501686096, 0.8786233067512512, 0.8783732056617737, 0.8781360983848572, 0.8779011368751526, 0.8776658177375793, 0.877430260181427, 0.8771952986717224, 0.8769609332084656, 0.8767262101173401, 0.8764922022819519, 0.8762584328651428, 0.8759163022041321, 0.8756839632987976, 0.8754516243934631, 0.8752195239067078, 0.8749873042106628, 0.8747547268867493, 0.8750151991844177, 0.8747850060462952, 0.8745115399360657, 0.8742819428443909, 0.8740003705024719, 0.8737722039222717, 0.8735437989234924, 0.87331622838974, 0.8730019927024841, 0.8727743029594421, 0.8725473284721375, 0.8723195195198059, 0.8720914721488953, 0.8718633055686951, 0.8716349005699158, 0.8714064955711365, 0.8711772561073303, 0.8709478974342346, 0.870718777179718, 0.8704882264137268, 0.870256245136261, 0.8700259327888489, 0.8697931170463562, 0.8695605397224426, 0.8693272471427917, 0.8690944314002991, 0.8688603043556213, 0.8686273694038391, 0.8683932423591614, 0.8681597113609314, 0.8677664399147034, 0.8675348162651062, 0.8646294474601746, 0.8644397854804993, 0.8642181754112244, 0.8639981150627136, 0.8641816973686218, 0.8639625906944275, 0.8637465834617615, 0.8635327219963074, 0.8630954623222351, 0.8629850745201111, 0.862781822681427, 0.8625803589820862, 0.8623810410499573, 0.862184464931488, 0.8619911074638367, 0.8619264960289001, 0.8617398142814636, 0.8615564703941345, 0.861500084400177, 0.8613244891166687, 0.8611512780189514, 0.8609808087348938, 0.8608142733573914, 0.8606495261192322, 0.8604899048805237, 0.8603330254554749, 0.8601793646812439, 0.8600289225578308, 0.8598820567131042, 0.8597385287284851, 0.8595990538597107, 0.859462559223175, 0.8593294024467468, 0.8592537045478821, 0.8591287732124329, 0.8590070605278015, 0.861449658870697, 0.8613248467445374, 0.8612045645713806, 0.861089289188385, 0.8609798550605774, 0.8608734011650085, 0.8607704043388367, 0.8599818348884583, 0.8598836064338684, 0.859791100025177, 0.8595830798149109, 0.8594834208488464], forces=[(-0.005020416807383299, -0.001875443384051323, 0.008524582721292973), (0.00549835292622447, -0.0019343423191457987, 0.016711747273802757), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00355455931276083, -0.0011396562913432717, 0.010117738507688046), (-0.004572797566652298, -0.004560787696391344, 0.02266075275838375), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004414560738950968, -0.002213898813351989, 0.013270106166601181), (-0.00592108815908432, 0.0007957352208904922, 0.02107398584485054), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00347307906486094, -0.0009408413898199797, 0.009493707679212093), (0.03857598453760147, 0.0076101007871329784, 0.018298383802175522), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0009699420188553631, 0.0019655958749353886, 0.005082635674625635), (-0.005932172294706106, -0.0067741842940449715, 0.01939813606441021), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003804178675636649, 0.00029454875038936734, 0.013997435569763184), (-0.00877357181161642, 0.0027426048181951046, 0.019046330824494362), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005958255846053362, 0.0005965163582004607, 0.013771610334515572), (-0.004844455048441887, 0.0021587079390883446, 0.020938921719789505), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003908083774149418, -1.6361700545530766e-05, 0.01383537519723177), (-0.007813310250639915, 0.0004948808345943689, 0.024385031312704086), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004211476072669029, 5.1253966375952587e-05, 0.015436681918799877), (-0.009920799173414707, 0.0012967900838702917, 0.024171646684408188), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.02839777246117592, -0.0058997636660933495, 0.01695907488465309), (0.008367904461920261, -0.003393919672816992, 0.07895958423614502)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=8, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.81640362739563, -0.00855262391269207, 16.89015769958496), (1.4112169742584229, 1.379402995109558, 18.837032318115234), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8444411754608154, 2.8268043994903564, 16.92438316345215), (1.4530653953552246, 4.210592269897461, 18.856121063232422), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.839240789413452, 5.626026630401611, 16.920284271240234), (1.4097427129745483, 7.052157878875732, 18.836231231689453), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.637855529785156, -0.015574577264487743, 16.89966583251953), (4.217103004455566, 1.3754873275756836, 18.830842971801758), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.644062519073486, 2.8218705654144287, 16.939992904663086), (4.147237777709961, 4.227015018463135, 18.967304229736328), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.647782802581787, 5.607739448547363, 16.942182540893555), (4.226109981536865, 7.057938575744629, 18.83605194091797), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.472031593322754, -0.01359269767999649, 16.881481170654297), (7.070415496826172, 1.3498088121414185, 18.815954208374023), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.476469039916992, 2.815455913543701, 16.903640747070312), (7.2393717765808105, 4.15030574798584, 18.894371032714844), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.474809646606445, 5.621079444885254, 16.906694412231445), (7.070522308349609, 7.040637969970703, 18.818889617919922), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.767146110534668, 4.2615966796875, 20.376296997070312), (5.880710601806641, 5.209293842315674, 20.61688804626465)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4765191674232483, energy_trajectory=[0.8441774249076843, 0.8266980051994324, 0.8138677477836609, 0.8014481663703918, 0.7891519665718079, 0.7773790955543518, 0.7654711604118347, 0.75363689661026, 0.7420920729637146, 0.7314723134040833, 0.7213364243507385, 0.7117659449577332, 0.7025749087333679, 0.693886935710907, 0.6854707598686218, 0.6774559617042542, 0.6696012616157532, 0.662250816822052, 0.6549589037895203, 0.6477983593940735, 0.6409717202186584, 0.6345704197883606, 0.6281746029853821, 0.6219452023506165, 0.6158633828163147, 0.6099469065666199, 0.604194700717926, 0.598611056804657, 0.5932583212852478, 0.5879513621330261, 0.582712709903717, 0.5776780247688293, 0.5728270411491394, 0.5680510401725769, 0.5634666085243225, 0.5589374899864197, 0.5545262694358826, 0.5502362847328186, 0.5459079146385193, 0.5416967272758484, 0.5377257466316223, 0.5338595509529114, 0.5300851464271545, 0.5264150500297546, 0.522892415523529, 0.5194125771522522, 0.5160636305809021, 0.5125922560691833, 0.5094200968742371, 0.5063026547431946, 0.5032698512077332, 0.5003215670585632, 0.4974523186683655, 0.49466413259506226, 0.4919537901878357, 0.4893572926521301, 0.48689597845077515, 0.48400217294692993, 0.48159724473953247, 0.47923654317855835, 0.4769657254219055, 0.4747611880302429, 0.47261935472488403, 0.4705938696861267, 0.46857374906539917, 0.46661144495010376, 0.4647056460380554, 0.4628543257713318, 0.46105748414993286, 0.4593130946159363, 0.45761948823928833, 0.4559785723686218, 0.4543885588645935, 0.4528483748435974, 0.45127278566360474, 0.44983166456222534, 0.4484408497810364, 0.44710081815719604, 0.4458628296852112, 0.4446205496788025, 0.4433900713920593, 0.4422404170036316, 0.44113558530807495, 0.44007450342178345, 0.43914514780044556, 0.4381667971611023, 0.4372261166572571, 0.43632036447525024, 0.4354479908943176, 0.4346044659614563, 0.43379074335098267, 0.4330018162727356, 0.4322372078895569, 0.43149489164352417, 0.4307224154472351, 0.43001896142959595, 0.4293336272239685, 0.42863208055496216, 0.4279751181602478, 0.4273304343223572, 0.4266977906227112, 0.42607659101486206, 0.4254698157310486, 0.4248763918876648, 0.42460983991622925, 0.4240509867668152, 0.42350584268569946, 0.4229734539985657, 0.422454297542572, 0.4219275116920471, 0.42143410444259644, 0.4209900498390198, 0.4205290675163269, 0.42008382081985474, 0.41970616579055786, 0.41929930448532104, 0.4189125895500183, 0.4185447096824646, 0.4181976914405823, 0.4178728461265564, 0.4175698161125183, 0.417288601398468, 0.41702932119369507, 0.41670483350753784, 0.4164908528327942, 0.4162985682487488, 0.41609376668930054, 0.4159405827522278, 0.41580623388290405, 0.4156903624534607, 0.4155939221382141, 0.4155147671699524, 0.41545265913009644, 0.4154062867164612, 0.41564446687698364, 0.41572123765945435, 0.41572195291519165, 0.41573673486709595, 0.4157645106315613, 0.41580528020858765, 0.41571229696273804, 0.4157819151878357, 0.4158630967140198, 0.41595572233200073, 0.4160587191581726, 0.41612714529037476, 0.41625064611434937, 0.4163845181465149, 0.4165605902671814, 0.4167129397392273, 0.4168727993965149, 0.41687291860580444, 0.41704708337783813, 0.4172295928001404, 0.4174179434776306, 0.4177468419075012, 0.4179515242576599, 0.4181625247001648, 0.41837984323501587, 0.4185250401496887, 0.4185188412666321, 0.4187505841255188, 0.41898804903030396, 0.4192294478416443, 0.4194769263267517, 0.41972988843917847, 0.419985830783844, 0.4202473759651184, 0.420510470867157, 0.4207800030708313, 0.4212281107902527, 0.42148298025131226, 0.42176753282546997, 0.42205554246902466, 0.42234665155410767, 0.422635018825531, 0.42293399572372437, 0.42323964834213257, 0.42324191331863403, 0.4235526919364929, 0.42382651567459106, 0.4241437315940857, 0.4244675040245056, 0.4246758818626404, 0.42500394582748413, 0.4253367781639099, 0.42567139863967896, 0.4260113835334778, 0.4263541102409363, 0.42664986848831177, 0.42700010538101196, 0.42726820707321167, 0.42762476205825806, 0.4279854893684387, 0.42834991216659546, 0.42871803045272827, 0.42908936738967896, 0.4294653534889221, 0.42984479665756226, 0.43022698163986206, 0.4306088089942932, 0.430992066860199, 0.4316299557685852, 0.4320276379585266, 0.43243056535720825, 0.4328373074531555, 0.43324869871139526, 0.4334401488304138, 0.433857262134552, 0.4348519444465637, 0.4352812170982361, 0.43571358919143677, 0.43615013360977173, 0.4365907311439514, 0.43703585863113403, 0.43748408555984497, 0.4379367232322693, 0.43839210271835327, 0.4387955069541931, 0.4392579197883606, 0.43974095582962036, 0.44020944833755493, 0.4406811594963074, 0.44115298986434937, 0.442091166973114, 0.4425681233406067, 0.4430467486381531, 0.4435264468193054, 0.4440075755119324, 0.4444900155067444, 0.4449719786643982, 0.4454120993614197, 0.4458971619606018, 0.44638437032699585, 0.44687002897262573, 0.4472499489784241, 0.4477391839027405, 0.4482085108757019, 0.44870346784591675, 0.4491972327232361, 0.44968873262405396, 0.4501815438270569, 0.45067375898361206, 0.4511653780937195, 0.4516569972038269, 0.45221883058547974, 0.4527084231376648, 0.4531943202018738, 0.45367950201034546, 0.454165518283844, 0.4546491503715515, 0.45512980222702026, 0.45593851804733276, 0.45641857385635376, 0.4568483233451843, 0.45732444524765015, 0.4577990174293518, 0.45827168226242065, 0.4587422013282776, 0.45921045541763306, 0.4596763253211975, 0.46024876832962036, 0.46071189641952515, 0.4611719250679016, 0.4616301655769348, 0.4620853066444397, 0.46253806352615356, 0.4638112187385559, 0.4642290472984314, 0.46485060453414917, 0.46530288457870483, 0.4659077525138855, 0.4663868546485901, 0.4668315052986145, 0.4672725796699524, 0.46771174669265747, 0.46814829111099243, 0.4685806632041931, 0.4690116047859192, 0.46943777799606323, 0.46986204385757446, 0.47028297185897827, 0.470700204372406, 0.4713682532310486, 0.47174400091171265, 0.472150981426239, 0.47255319356918335, 0.4729521870613098, 0.47321587800979614, 0.47360676527023315, 0.4733579754829407, 0.47373872995376587, 0.4740073084831238, 0.47440844774246216, 0.4747757315635681, 0.47513753175735474, 0.4754921793937683, 0.47584205865859985, 0.47618216276168823, 0.4765191674232483], forces=[(0.006349402479827404, 0.004532115999609232, 0.030079156160354614), (0.018985627219080925, 0.00479730311781168, 0.04229295253753662), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01007185410708189, 0.0047403788194060326, 0.034612126648426056), (-0.009505309164524078, 0.006098716985434294, 0.04067486524581909), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008358201012015343, -0.0012266687117516994, 0.027092542499303818), (0.021227601915597916, -0.0052255247719585896, 0.03948510065674782), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013484111987054348, 0.005280852783471346, 0.025173773989081383), (0.026392929255962372, -0.005588633008301258, 0.033084504306316376), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.017531007528305054, -0.0021015366073697805, 0.01881558820605278), (0.0033782527316361666, -0.011379454284906387, 0.020140277221798897), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013162365183234215, 0.008755438029766083, 0.012011615559458733), (0.018159624189138412, 0.006400272250175476, 0.022333670407533646), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012654540129005909, 0.008494017645716667, 0.03299713134765625), (0.009445182047784328, 0.012722687795758247, 0.04621478170156479), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00937210489064455, 0.017117410898208618, 0.056984059512615204), (-0.03342686966061592, 0.058850545436143875, 0.12075406312942505), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0023344438523054123, -0.0013059669872745872, 0.03904157504439354), (0.01746244914829731, 0.020574698224663734, 0.034117214381694794), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.10858503729104996, 0.03942703455686569, 0.1144639179110527), (-0.23127083480358124, 0.029360271990299225, 0.17024895548820496)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=9, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8218562602996826, -0.017611872404813766, 16.925273895263672), (1.411832571029663, 1.377399206161499, 18.885107040405273), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8679304122924805, 2.827810049057007, 16.986127853393555), (1.4326622486114502, 4.205368518829346, 18.891178131103516), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.857515335083008, 5.601409435272217, 16.974853515625), (1.4175046682357788, 7.0352935791015625, 18.88062286376953), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.649147987365723, -0.01927557960152626, 16.9256649017334), (4.242195129394531, 1.318557620048523, 18.897029876708984), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.635034561157227, 2.8228824138641357, 16.976503372192383), (4.258893966674805, 4.05299711227417, 19.1651668548584), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.637135028839111, 5.60198974609375, 16.9716854095459), (4.24229097366333, 7.021697998046875, 18.871105194091797), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.469881057739258, -0.012546089477837086, 16.92522621154785), (7.073356628417969, 1.3744500875473022, 18.88006019592285), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.484418869018555, 2.805734395980835, 16.927061080932617), (7.1149516105651855, 4.203612327575684, 18.87688636779785), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.481294631958008, 5.6301188468933105, 16.92978286743164), (7.06797456741333, 7.035863876342773, 18.875865936279297), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.523279190063477, 4.316769123077393, 21.119407653808594), (4.5272440910339355, 3.4288909435272217, 21.537851333618164)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8895724415779114, energy_trajectory=[1.1414711475372314, 1.1303021907806396, 1.1215317249298096, 1.1128182411193848, 1.1043517589569092, 1.0956923961639404, 1.0872113704681396, 1.0784616470336914, 1.0699963569641113, 1.0612196922302246, 1.0530757904052734, 1.044837236404419, 1.0366942882537842, 1.028672218322754, 1.0209157466888428, 1.013251543045044, 1.0054693222045898, 0.9976525902748108, 0.9900364279747009, 0.9825697541236877, 0.9753174185752869, 0.9684905409812927, 0.9620781540870667, 0.955872118473053, 0.9500663876533508, 0.9445443749427795, 0.939114511013031, 0.9340924620628357, 0.9291080832481384, 0.9244106411933899, 0.9200223088264465, 0.9158232808113098, 0.9116384387016296, 0.9078040719032288, 0.9041356444358826, 0.900545060634613, 0.8972653746604919, 0.8940896391868591, 0.8910775780677795, 0.8881624341011047, 0.8859551548957825, 0.8835017085075378, 0.8811596035957336, 0.8790590167045593, 0.8771567940711975, 0.8754522204399109, 0.8739282488822937, 0.8726062178611755, 0.8714531064033508, 0.8702670931816101, 0.8693761229515076, 0.8685914874076843, 0.8677247166633606, 0.8669646382331848, 0.8662095665931702, 0.8653997778892517, 0.864637553691864, 0.8638586401939392, 0.8631495833396912, 0.8623359799385071, 0.8618826270103455, 0.8616093993186951, 0.8612876534461975, 0.8611288666725159, 0.8612514138221741, 0.8614659905433655, 0.8618722558021545, 0.862471878528595, 0.8632556796073914, 0.864215075969696, 0.8654200434684753, 0.8666948676109314, 0.8681113123893738, 0.8696573376655579, 0.8712381720542908, 0.8730097413063049, 0.8748264908790588, 0.8766714930534363, 0.8785302042961121, 0.8803933262825012, 0.8821207880973816, 0.8839656710624695, 0.8857949376106262, 0.8875965476036072, 0.8893702626228333, 0.8911684155464172, 0.8928670287132263, 0.8945206999778748, 0.8961219191551208, 0.8976675868034363, 0.899150550365448, 0.9005668759346008, 0.9019096493721008, 0.9031767249107361, 0.9041735529899597, 0.9052667021751404, 0.9062759280204773, 0.9071949124336243, 0.9076111912727356, 0.9083335995674133, 0.9089851975440979, 0.9095001816749573, 0.909980833530426, 0.910376250743866, 0.9106903672218323, 0.910923421382904, 0.9110810160636902, 0.9111672043800354, 0.9111842513084412, 0.9111365675926208, 0.9109681248664856, 0.9108045697212219, 0.9105051159858704, 0.9100785851478577, 0.909794270992279, 0.90944904088974, 0.9090674519538879, 0.9086541533470154, 0.9082127213478088, 0.9077485203742981, 0.9072648882865906, 0.9067639708518982, 0.906244695186615, 0.9057125449180603, 0.9051706194877625, 0.9046189188957214, 0.9040595889091492, 0.9034942984580994, 0.9029282927513123, 0.9023157954216003, 0.9016655087471008, 0.901096761226654, 0.9005327820777893, 0.8999699950218201, 0.8994148373603821, 0.8986188769340515, 0.8980633616447449, 0.8980626463890076, 0.8975327610969543, 0.8970109820365906, 0.8965036273002625, 0.8961389660835266, 0.8954764008522034, 0.895003616809845, 0.8945396542549133, 0.8940932154655457, 0.893659770488739, 0.8932384848594666, 0.8928119540214539, 0.890994131565094, 0.8906423449516296, 0.890163242816925, 0.889839231967926, 0.8897001147270203, 0.8894087672233582, 0.8892702460289001, 0.8890804648399353, 0.8888311982154846, 0.8885980248451233, 0.8882734179496765, 0.888069212436676, 0.8878776431083679, 0.8877012133598328, 0.8875393271446228, 0.8873360753059387, 0.8871996998786926, 0.8870804905891418, 0.8869699835777283, 0.8868734240531921, 0.8867865204811096, 0.8867120146751404, 0.8866495490074158, 0.8866168856620789, 0.886456310749054, 0.8864292502403259, 0.8864046931266785, 0.8863963484764099, 0.8863986134529114, 0.8858559727668762, 0.885884702205658, 0.8859265446662903, 0.8859773278236389, 0.8860334753990173, 0.8860597014427185, 0.8861343264579773, 0.8862175345420837, 0.886305034160614, 0.8863986134529114, 0.8864986300468445, 0.8866034150123596, 0.8868932127952576, 0.8870832324028015, 0.8872058987617493, 0.8873215317726135, 0.8874421715736389, 0.8875630497932434, 0.8876877427101135, 0.8878145813941956, 0.8878900408744812, 0.8879256844520569, 0.8880549073219299, 0.8881855607032776, 0.8883156180381775, 0.8884630799293518, 0.8885957598686218, 0.8887262940406799, 0.888860285282135, 0.8890395760536194, 0.8891704678535461, 0.8893008828163147, 0.889431893825531, 0.8895617127418518, 0.8897725939750671, 0.8899009823799133, 0.8900302052497864, 0.8901590704917908, 0.8898960947990417, 0.8900442719459534, 0.8901947140693665, 0.8903424143791199, 0.8904898762702942, 0.8906332850456238, 0.8907752633094788, 0.8909160494804382, 0.8911888003349304, 0.8913256525993347, 0.8915302157402039, 0.891663134098053, 0.8917939066886902, 0.89192134141922, 0.8920473456382751, 0.8921707272529602, 0.892288863658905, 0.892462432384491, 0.8925774693489075, 0.8926869034767151, 0.8927951455116272, 0.8928987383842468, 0.8927043080329895, 0.8928032517433167, 0.8927659392356873, 0.8928565382957458, 0.8929457068443298, 0.8931023478507996, 0.8931816220283508, 0.8932560086250305, 0.8933238387107849, 0.893353283405304, 0.8934139609336853, 0.8935186266899109, 0.8935694098472595, 0.8936141133308411, 0.893653929233551, 0.8936873078346252, 0.8936731219291687, 0.8936948180198669, 0.8937130570411682, 0.8937234282493591, 0.893730103969574, 0.8937304615974426, 0.8937225937843323, 0.893683135509491, 0.893676221370697, 0.8936641812324524, 0.8936466574668884, 0.8936240077018738, 0.8935946822166443, 0.8935601115226746, 0.8935191035270691, 0.8934736847877502, 0.8934215903282166, 0.8933410048484802, 0.8932761549949646, 0.893298327922821, 0.8932241797447205, 0.8930956721305847, 0.8930097222328186, 0.8929138779640198, 0.8928502202033997, 0.8927486538887024, 0.8926395773887634, 0.8925254940986633, 0.8924580216407776, 0.8923327326774597, 0.8922048211097717, 0.8920708298683167, 0.8919269442558289, 0.8917985558509827, 0.8916438221931458, 0.8914840817451477, 0.8913195729255676, 0.891147792339325, 0.8909701704978943, 0.8907870650291443, 0.8905991911888123, 0.8904053568840027, 0.8902055621147156, 0.8899994492530823, 0.8897908329963684, 0.8895724415779114], forces=[(0.0014301970368251204, 0.005117195192724466, -0.04178537800908089), (-0.002172238426283002, -0.006068916525691748, -0.06713886559009552), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009357905946671963, 0.007068043574690819, -0.042666081339120865), (-0.04249268397688866, -0.0005532538634724915, -0.0709027424454689), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00250918697565794, -0.0006777775124646723, -0.02599404752254486), (-0.004183534532785416, 0.009396929293870926, -0.06618669629096985), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005064999219030142, 0.00491312937811017, -0.03824641555547714), (0.0012945955386385322, 0.03834925964474678, -0.07853275537490845), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008208133280277252, 0.006905735470354557, -0.02949717827141285), (-0.06689320504665375, 0.08660013973712921, -0.04952766373753548), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012660480104386806, -0.0021599989850074053, -0.020704522728919983), (0.00027302547823637724, 0.034390442073345184, -0.06665240973234177), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0016369018703699112, 0.00024098072026390582, -0.04487490653991699), (0.004373924806714058, -0.0009283158578909934, -0.05847760662436485), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01128156203776598, -0.002877982100471854, -0.03980246186256409), (-0.012667014263570309, 0.0024146484211087227, -0.056161411106586456), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010884812101721764, 0.0017537219682708383, -0.04138519987463951), (0.011622809804975986, 0.007292760070413351, -0.060960762202739716), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0364699549973011, -0.02685667760670185, -0.09442315250635147), (-0.01759927161037922, 0.04370498284697533, -0.07647310197353363)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=10, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8252077102661133, -0.000471228442620486, 16.930564880371094), (1.4360854625701904, 1.456450343132019, 18.834001541137695), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8325440883636475, 2.8419201374053955, 16.895164489746094), (1.4200348854064941, 4.223249435424805, 18.852636337280273), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8116893768310547, 5.679633140563965, 16.959613800048828), (1.5782179832458496, 7.068483829498291, 19.012357711791992), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.6642680168151855, -0.0032967200968414545, 16.93486213684082), (4.2422919273376465, 1.4389702081680298, 18.849729537963867), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.639820098876953, 2.8362011909484863, 16.89765167236328), (4.238238334655762, 4.228391170501709, 18.85580062866211), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.67017126083374, 5.6758880615234375, 16.957799911499023), (4.272556304931641, 7.074146747589111, 18.89142608642578), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.4755277633667, -0.015446064062416553, 16.960994720458984), (7.051691055297852, 1.4516291618347168, 18.841100692749023), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.465592384338379, 2.8330063819885254, 16.905868530273438), (7.052443027496338, 4.223046779632568, 18.853328704833984), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.471909523010254, 5.674242973327637, 16.966812133789062), (6.992764472961426, 7.082294940948486, 19.022518157958984), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (0.09517291188240051, 7.2282395362854, 20.50751495361328), (0.1536082923412323, 8.180314064025879, 20.758928298950195)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4421563744544983, energy_trajectory=[1.419219732284546, 1.4073138236999512, 1.3968408107757568, 1.386169195175171, 1.3760416507720947, 1.3660714626312256, 1.3572983741760254, 1.3487024307250977, 1.340090274810791, 1.3316898345947266, 1.3236539363861084, 1.3156559467315674, 1.3079392910003662, 1.3009023666381836, 1.2932827472686768, 1.2857201099395752, 1.2782042026519775, 1.2707715034484863, 1.2633445262908936, 1.2561335563659668, 1.2490026950836182, 1.2419111728668213, 1.234856367111206, 1.2279019355773926, 1.2210025787353516, 1.2141547203063965, 1.207385778427124, 1.20068359375, 1.1941218376159668, 1.1875879764556885, 1.1811091899871826, 1.1747276782989502, 1.1684215068817139, 1.162111759185791, 1.155958890914917, 1.149627685546875, 1.1436076164245605, 1.1376523971557617, 1.1317620277404785, 1.1259331703186035, 1.1201636791229248, 1.1142699718475342, 1.1086182594299316, 1.103151559829712, 1.097609519958496, 1.0920791625976562, 1.0866410732269287, 1.0810413360595703, 1.0757052898406982, 1.0704143047332764, 1.0651655197143555, 1.0599617958068848, 1.0547988414764404, 1.0496811866760254, 1.0444045066833496, 1.0393779277801514, 1.0348365306854248, 1.0299086570739746, 1.0250048637390137, 1.0198843479156494, 1.0150725841522217, 1.0102407932281494, 1.0055038928985596, 1.000800371170044, 0.9961252808570862, 0.9914770722389221, 0.9868595004081726, 0.9822669625282288, 0.9777023196220398, 0.9731664061546326, 0.9686698317527771, 0.9641483426094055, 0.9597038626670837, 0.9552885890007019, 0.9509065747261047, 0.946559488773346, 0.9422456622123718, 0.9379670023918152, 0.9337249398231506, 0.9293959736824036, 0.9252305626869202, 0.9210819602012634, 0.9169970154762268, 0.9129508137702942, 0.908946692943573, 0.9047927260398865, 0.900870144367218, 0.8969858288764954, 0.8931391835212708, 0.8893371224403381, 0.8855567574501038, 0.8816033005714417, 0.8778837323188782, 0.8741959929466248, 0.8705382943153381, 0.8669078946113586, 0.863307774066925, 0.8600090146064758, 0.8564659953117371, 0.8529549241065979, 0.8494719862937927, 0.8460230231285095, 0.8425975441932678, 0.83919757604599, 0.8358229994773865, 0.832476794719696, 0.8293147683143616, 0.8260264992713928, 0.8227681517601013, 0.8195399641990662, 0.816339910030365, 0.8131704926490784, 0.8100304007530212, 0.8069198727607727, 0.803838312625885, 0.800770103931427, 0.7977455258369446, 0.7947482466697693, 0.7917794585227966, 0.7888361811637878, 0.7859198451042175, 0.7827748656272888, 0.7799062132835388, 0.7770631909370422, 0.774374783039093, 0.7715786099433899, 0.7688031792640686, 0.7660486102104187, 0.763314425945282, 0.7605985999107361, 0.7579010128974915, 0.7552210688591003, 0.7524424195289612, 0.7497960925102234, 0.7471643090248108, 0.7447746396064758, 0.7421699166297913, 0.7394919991493225, 0.7369092106819153, 0.734341561794281, 0.7317872643470764, 0.7292453646659851, 0.7267174124717712, 0.7242020964622498, 0.721699059009552, 0.7192087769508362, 0.71673184633255, 0.7142671942710876, 0.7118156552314758, 0.70937579870224, 0.7069475054740906, 0.7047354578971863, 0.702331006526947, 0.6999379992485046, 0.6975558400154114, 0.6951834559440613, 0.6928197741508484, 0.6904650330543518, 0.6884163022041321, 0.6860755085945129, 0.683742105960846, 0.6814159750938416, 0.6790964007377625, 0.6767835021018982, 0.6744763255119324, 0.6721872687339783, 0.669890820980072, 0.667599618434906, 0.6653124690055847, 0.6630318760871887, 0.6607548594474792, 0.6584538817405701, 0.6561865210533142, 0.6539234519004822, 0.6516639590263367, 0.6494094729423523, 0.6471584439277649, 0.6449117064476013, 0.6426694989204407, 0.6404320597648621, 0.6387309432029724, 0.6364924311637878, 0.6342676281929016, 0.6320489048957825, 0.6298336386680603, 0.6276220679283142, 0.6254145503044128, 0.6232121586799622, 0.62101811170578, 0.6188245415687561, 0.6166368126869202, 0.6144528985023499, 0.6122738718986511, 0.6100993752479553, 0.6079300045967102, 0.6052579283714294, 0.6031039357185364, 0.6009554266929626, 0.6001619696617126, 0.5980326533317566, 0.5959091782569885, 0.5936303734779358, 0.5915248990058899, 0.589428722858429, 0.5873399376869202, 0.5852587819099426, 0.5831851363182068, 0.5811201930046082, 0.579062283039093, 0.5770123600959778, 0.5749699473381042, 0.572935163974762, 0.5706577897071838, 0.5686371922492981, 0.5666233897209167, 0.5646981596946716, 0.5626991391181946, 0.5607073903083801, 0.5587233901023865, 0.5567474961280823, 0.5547775626182556, 0.5528149008750916, 0.5508614182472229, 0.5489161610603333, 0.5469785332679749, 0.5450718998908997, 0.5431491732597351, 0.5412363409996033, 0.5393351912498474, 0.5374451279640198, 0.5355686545372009, 0.5337045788764954, 0.5318529009819031, 0.5300151705741882, 0.5281910300254822, 0.5263822674751282, 0.524588406085968, 0.5228100419044495, 0.5210480093955994, 0.5193015933036804, 0.517571747303009, 0.515857994556427, 0.5141612887382507, 0.5124810338020325, 0.5110549330711365, 0.5094069838523865, 0.5077759623527527, 0.5061604380607605, 0.5045604109764099, 0.5029762387275696, 0.5014063715934753, 0.4998529553413391, 0.4983125329017639, 0.4967873692512512, 0.4952753186225891, 0.493777334690094, 0.4922935366630554, 0.4908232092857361, 0.4893656373023987, 0.48792141675949097, 0.48649126291275024, 0.48507457971572876, 0.483670175075531, 0.48228007555007935, 0.4809033274650574, 0.4796150326728821, 0.4782645106315613, 0.4769297242164612, 0.47560781240463257, 0.4743015170097351, 0.47300785779953003, 0.4717302918434143, 0.4704684615135193, 0.4691219925880432, 0.4677726626396179, 0.46655601263046265, 0.465353786945343, 0.46416717767715454, 0.46299678087234497, 0.4618423581123352, 0.4607028365135193, 0.4595791697502136, 0.45847088098526, 0.45737892389297485, 0.45630210638046265, 0.4552406668663025, 0.4541953206062317, 0.4530336260795593, 0.45201820135116577, 0.4510188698768616, 0.4500349164009094, 0.4490657448768616, 0.4481126666069031, 0.4471741318702698, 0.4462509751319885, 0.44534212350845337, 0.4447506070137024, 0.44387000799179077, 0.4430057406425476, 0.4421563744544983], forces=[(0.009345115162432194, -0.004870234522968531, 0.0012800772674381733), (0.00019483186770230532, -0.024665774777531624, 0.016309767961502075), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0006011829827912152, -0.014410045929253101, 0.006620699539780617), (0.015217400155961514, -0.008294247090816498, -0.005927043966948986), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.031844086945056915, -0.024438083171844482, -0.036935754120349884), (-0.015141701325774193, -0.03394445404410362, -0.06549552828073502), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0026988587342202663, 0.004799383692443371, -0.0007118033827282488), (0.0009234409662894905, 0.00307585415430367, 0.007391367573291063), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004422170575708151, -0.0007664752774871886, 0.004584354814141989), (0.004529028199613094, 0.0031216563656926155, 0.007653364911675453), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005850252229720354, -0.004180500749498606, -0.006420908495783806), (-0.005079316440969706, -0.004257662687450647, 0.0033395900391042233), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0036126049235463142, 0.0010199120733886957, -0.008870908990502357), (0.007843147031962872, -0.0016804649494588375, 0.009986351244151592), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006337450817227364, -0.00499050784856081, 0.007318083196878433), (0.005254404153674841, 0.0023236304987221956, 0.002941108774393797), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006741083227097988, -0.00573941832408309, -0.008505110628902912), (-0.04626065120100975, 0.0030968773644417524, -0.03522667661309242), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04865937680006027, -0.06778584420681, -0.09552567452192307), (-0.14617790281772614, -0.1166319027543068, -0.024525756016373634)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=11, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.822462558746338, 0.01017243042588234, 16.894838333129883), (1.4025472402572632, 1.3989914655685425, 18.8344783782959), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8225958347320557, 2.851496696472168, 16.95284652709961), (1.2674329280853271, 4.199490547180176, 18.988208770751953), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8222343921661377, 5.619668960571289, 16.964298248291016), (1.3957892656326294, 7.097781181335449, 18.81363296508789), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.649517059326172, 0.014678622595965862, 16.883596420288086), (4.239648342132568, 1.399565577507019, 18.837345123291016), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.631862163543701, 2.8488175868988037, 16.93478775024414), (4.366634368896484, 4.211368560791016, 18.99190330505371), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.633548736572266, 5.637222766876221, 16.9254150390625), (4.253535270690918, 7.095122337341309, 18.81562614440918), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.456991195678711, 0.014185424894094467, 16.88252067565918), (7.05304479598999, 1.4067420959472656, 18.83962059020996), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.473334312438965, 2.8487586975097656, 16.932159423828125), (7.0509867668151855, 4.258679389953613, 18.874135971069336), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.474651336669922, 5.636298179626465, 16.92659568786621), (7.057068824768066, 7.086188793182373, 18.834381103515625), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (2.799999475479126, 4.349836826324463, 20.436689376831055), (2.8390350341796875, 3.542527437210083, 20.992279052734375)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4296460747718811, energy_trajectory=[1.2160968780517578, 1.2018656730651855, 1.1887319087982178, 1.1767833232879639, 1.1655364036560059, 1.1549251079559326, 1.1452500820159912, 1.1357378959655762, 1.126776933670044, 1.1180624961853027, 1.1094157695770264, 1.1015901565551758, 1.0933551788330078, 1.085815668106079, 1.0785987377166748, 1.071333408355713, 1.0641639232635498, 1.057283878326416, 1.0503630638122559, 1.043757438659668, 1.0372745990753174, 1.0309057235717773, 1.024641513824463, 1.018479585647583, 1.0124115943908691, 1.0064375400543213, 1.0005478858947754, 0.9947338700294495, 0.9889957308769226, 0.9833330512046814, 0.9777342677116394, 0.9721998572349548, 0.9666388630867004, 0.961224377155304, 0.955863893032074, 0.9505100846290588, 0.9452391266822815, 0.9398471713066101, 0.9346594214439392, 0.9296160340309143, 0.924701988697052, 0.9200044274330139, 0.9149670004844666, 0.9098420739173889, 0.9048698544502258, 0.8999268412590027, 0.8950067162513733, 0.8901093602180481, 0.8852333426475525, 0.8803824782371521, 0.8755504488945007, 0.8707404732704163, 0.8659513592720032, 0.8611825108528137, 0.8564395308494568, 0.8517178893089294, 0.8470247387886047, 0.8424612879753113, 0.8378211855888367, 0.8332012295722961, 0.8286008238792419, 0.8237207531929016, 0.819273054599762, 0.8147241473197937, 0.8101890683174133, 0.8056697249412537, 0.8011606335639954, 0.796592652797699, 0.7921162247657776, 0.7876566052436829, 0.7832160592079163, 0.7787937521934509, 0.7743908762931824, 0.7700076699256897, 0.7656475901603699, 0.7613093256950378, 0.7569929957389832, 0.7527012228965759, 0.7484338879585266, 0.7441925406455994, 0.7399787306785583, 0.7357912659645081, 0.7316320538520813, 0.7274995446205139, 0.7233956456184387, 0.7193203568458557, 0.7152733206748962, 0.7112539410591125, 0.7072609066963196, 0.703296959400177, 0.6993606686592102, 0.6954538226127625, 0.6911987662315369, 0.6873310208320618, 0.683510959148407, 0.6797403693199158, 0.6759966015815735, 0.6722676157951355, 0.6685701012611389, 0.664905846118927, 0.6612740159034729, 0.657675564289093, 0.6541110873222351, 0.6505816578865051, 0.6470872759819031, 0.6436272263526917, 0.6402042508125305, 0.6368138194084167, 0.6334245800971985, 0.6300550103187561, 0.6267676949501038, 0.6235161423683167, 0.6202972531318665, 0.6171123385429382, 0.6139610409736633, 0.6108449101448059, 0.6077635884284973, 0.6047143340110779, 0.6016973853111267, 0.5987148880958557, 0.5957650542259216, 0.592846691608429, 0.5899608731269836, 0.5871067643165588, 0.5842848420143127, 0.5814948678016663, 0.578735888004303, 0.576008141040802, 0.573313295841217, 0.5706573128700256, 0.5680238604545593, 0.5654245018959045, 0.5632140040397644, 0.5606792569160461, 0.558177649974823, 0.5557107329368591, 0.5532769560813904, 0.5507983565330505, 0.5484340786933899, 0.5461037755012512, 0.5438079237937927, 0.5415564179420471, 0.5397091507911682, 0.5375234484672546, 0.5353770852088928, 0.5332867503166199, 0.5312145352363586, 0.5291805863380432, 0.5271828770637512, 0.5252242684364319, 0.5233189463615417, 0.5214307904243469, 0.5195813775062561, 0.5176880955696106, 0.5159173607826233, 0.5141850113868713, 0.5124891400337219, 0.5108305811882019, 0.5092090964317322, 0.5078622698783875, 0.5063124299049377, 0.5047987103462219, 0.5033203959465027, 0.5018767714500427, 0.5004672408103943, 0.499092161655426, 0.4977491497993469, 0.49643856287002563, 0.49515992403030396, 0.49391013383865356, 0.4926918148994446, 0.4915013909339905, 0.4903410077095032, 0.4892069697380066, 0.48810046911239624, 0.4870193600654602, 0.48589199781417847, 0.48486000299453735, 0.4838513731956482, 0.48286622762680054, 0.48200398683547974, 0.4809800982475281, 0.48006194829940796, 0.4791625142097473, 0.47793048620224, 0.47707122564315796, 0.4762306809425354, 0.4754074215888977, 0.4746745228767395, 0.4738866686820984, 0.4731166958808899, 0.47236400842666626, 0.4716261029243469, 0.4699144959449768, 0.4692043662071228, 0.46764081716537476, 0.4674401879310608, 0.4669192433357239, 0.46626895666122437, 0.4656364321708679, 0.46489864587783813, 0.4642922282218933, 0.46370047330856323, 0.46312230825424194, 0.46255964040756226, 0.46203750371932983, 0.46151167154312134, 0.46100133657455444, 0.46050626039505005, 0.46002501249313354, 0.45955759286880493, 0.4591020941734314, 0.4586583971977234, 0.4585021138191223, 0.4580778479576111, 0.45766204595565796, 0.4572555422782898, 0.4568559527397156, 0.45646530389785767, 0.45608144998550415, 0.4557035565376282, 0.45533281564712524, 0.45496588945388794, 0.45447295904159546, 0.45417994260787964, 0.4538317322731018, 0.45348626375198364, 0.45291668176651, 0.4525243639945984, 0.4521889090538025, 0.45185667276382446, 0.4515264630317688, 0.4512001872062683, 0.4508756995201111, 0.4505537152290344, 0.4502337574958801, 0.44991666078567505, 0.4496003985404968, 0.4492862820625305, 0.4489731192588806, 0.4486609101295471, 0.44835036993026733, 0.4480409026145935, 0.4477319121360779, 0.44742220640182495, 0.44711369276046753, 0.4467831254005432, 0.4464760422706604, 0.4461680054664612, 0.44585126638412476, 0.445539653301239, 0.44522935152053833, 0.44491809606552124, 0.44460660219192505, 0.44429486989974976, 0.44398313760757446, 0.443669855594635, 0.44335752725601196, 0.44304388761520386, 0.4427298903465271, 0.442352831363678, 0.44203847646713257, 0.4419063925743103, 0.4415903687477112, 0.441275417804718, 0.44095951318740845, 0.44064241647720337, 0.4403262734413147, 0.4400094151496887, 0.4396921992301941, 0.4394426941871643, 0.43912428617477417, 0.4388074278831482, 0.4384893774986267, 0.438170850276947, 0.43785327672958374, 0.4375355839729309, 0.4372177720069885, 0.43690043687820435, 0.4365817904472351, 0.43613356351852417, 0.43581539392471313, 0.4354957938194275, 0.435175359249115, 0.43485695123672485, 0.43439894914627075, 0.43407517671585083, 0.4337509274482727, 0.4334273934364319, 0.43310219049453735, 0.4327772259712219, 0.43245190382003784, 0.4321257472038269, 0.4317994713783264, 0.4314717650413513, 0.4311442971229553, 0.4308164715766907, 0.43048757314682007, 0.4299749732017517, 0.4296460747718811], forces=[(-0.0017763596260920167, -0.013624345883727074, 0.03443516418337822), (-0.0030735046602785587, -0.010124516673386097, 0.04069960489869118), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005593712907284498, -0.021637331694364548, -0.00438202079385519), (0.04638572409749031, 0.0009270933223888278, -0.0164126418530941), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00782044418156147, 0.006605927366763353, -0.005527571775019169), (0.008421224541962147, -0.034081488847732544, 0.06588692218065262), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006358541548252106, -0.017553407698869705, 0.03702479973435402), (-0.0020549213513731956, -0.003347201505675912, 0.037926606833934784), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0032683697063475847, -0.014874552376568317, 0.00842105783522129), (-0.06780923902988434, 0.014923078007996082, -0.02018047124147415), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0036098032724112272, -0.005074433516710997, 0.02270117960870266), (-0.017599966377019882, -0.02552410215139389, 0.06346023082733154), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003174457000568509, -0.018892325460910797, 0.0377180278301239), (-0.003890250576660037, 0.0009885751642286777, 0.04156704992055893), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009425112046301365, -0.019600776955485344, 0.007297423202544451), (-0.011704365722835064, -0.021300245076417923, 0.026192493736743927), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006220607087016106, -0.006401632912456989, 0.02249559760093689), (-0.005464774090796709, -0.017906783148646355, 0.048385459929704666), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.15028944611549377, 0.0641409382224083, 0.11450944095849991), (-0.08471027761697769, -0.06693984568119049, -0.1368243396282196)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=12, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.833357334136963, 0.011453848332166672, 16.885452270507812), (1.4280908107757568, 1.3857988119125366, 18.833589553833008), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8175714015960693, 2.846705913543701, 16.93814468383789), (1.5666732788085938, 4.218547344207764, 18.98222541809082), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8236191272735596, 5.636388778686523, 16.920568466186523), (1.435893177986145, 7.081620216369629, 18.820877075195312), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.639716625213623, 0.011781196109950542, 16.88733673095703), (4.238913536071777, 1.4025659561157227, 18.844144821166992), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.662004470825195, 2.8467719554901123, 16.937114715576172), (4.250749588012695, 4.245616436004639, 18.872400283813477), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.658958435058594, 5.638289451599121, 16.923397064208984), (4.241114616394043, 7.080357551574707, 18.835891723632812), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.46686840057373, 0.004573564510792494, 16.898090362548828), (7.049648284912109, 1.3931944370269775, 18.83432388305664), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.471267700195312, 2.846359968185425, 16.956911087036133), (6.936275959014893, 4.234752655029297, 18.98160743713379), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.472221374511719, 5.618196964263916, 16.955419540405273), (7.051425933837891, 7.086215019226074, 18.826244354248047), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (8.484457015991211, 4.321646690368652, 20.433937072753906), (8.441986083984375, 5.271310329437256, 20.69156837463379)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4197099804878235, energy_trajectory=[1.3316566944122314, 1.3145391941070557, 1.3013710975646973, 1.2889654636383057, 1.2771952152252197, 1.2657995223999023, 1.2548980712890625, 1.2443242073059082, 1.234095573425293, 1.2242441177368164, 1.2145044803619385, 1.2049305438995361, 1.1953797340393066, 1.1860265731811523, 1.1767585277557373, 1.1675283908843994, 1.1584489345550537, 1.1495182514190674, 1.1405787467956543, 1.131852626800537, 1.1229195594787598, 1.1142711639404297, 1.1056811809539795, 1.097059726715088, 1.0885801315307617, 1.0801546573638916, 1.0717785358428955, 1.0635316371917725, 1.05525803565979, 1.0470247268676758, 1.0388431549072266, 1.0307016372680664, 1.0225894451141357, 1.0145354270935059, 1.0065243244171143, 0.9985523819923401, 0.9906232953071594, 0.9827340245246887, 0.9748864769935608, 0.9670758843421936, 0.9593037962913513, 0.9515709280967712, 0.9438765645027161, 0.9362241625785828, 0.9284988045692444, 0.9209210276603699, 0.9133798480033875, 0.9059523940086365, 0.897822916507721, 0.8904115557670593, 0.8828725218772888, 0.8751924633979797, 0.8678955435752869, 0.8606405854225159, 0.8534302115440369, 0.8462651371955872, 0.8391409516334534, 0.8320648074150085, 0.8250716328620911, 0.8181799054145813, 0.8113831877708435, 0.804676353931427, 0.7980592846870422, 0.7915247082710266, 0.7850720286369324, 0.7785710692405701, 0.7722787261009216, 0.7661468386650085, 0.7600488066673279, 0.7540356516838074, 0.7480385899543762, 0.742201030254364, 0.7364527583122253, 0.7309009432792664, 0.7253357768058777, 0.7198556065559387, 0.7144654393196106, 0.7091653943061829, 0.7039574980735779, 0.6988417506217957, 0.6938214898109436, 0.688891589641571, 0.6841123700141907, 0.6793703436851501, 0.6747153401374817, 0.6701510548591614, 0.6656680703163147, 0.6612716317176819, 0.6569541096687317, 0.652715265750885, 0.6485398411750793, 0.644448459148407, 0.6404291987419128, 0.636480987071991, 0.6326282620429993, 0.628822386264801, 0.6250855326652527, 0.6215030550956726, 0.6179015040397644, 0.6143664717674255, 0.6108977198600769, 0.6074952483177185, 0.6041610836982727, 0.6008936762809753, 0.5977410674095154, 0.5946045517921448, 0.5915305018424988, 0.5884841084480286, 0.5855286717414856, 0.5826310515403748, 0.5797935128211975, 0.5770112872123718, 0.5742842555046082, 0.5716128945350647, 0.5689954161643982, 0.5664291977882385, 0.5639136433601379, 0.5614497065544128, 0.5590334534645081, 0.5569109320640564, 0.554473340511322, 0.5521979928016663, 0.5500158667564392, 0.5478289723396301, 0.545686662197113, 0.543586790561676, 0.5415284037590027, 0.5395097136497498, 0.5375317931175232, 0.535592257976532, 0.5336913466453552, 0.5317398905754089, 0.5299950242042542, 0.5282008051872253, 0.5264402031898499, 0.5247140526771545, 0.5230184197425842, 0.521354615688324, 0.5197215676307678, 0.5181167721748352, 0.5165422558784485, 0.5152638554573059, 0.5137414336204529, 0.5122873187065125, 0.5108173489570618, 0.5093321204185486, 0.5079129338264465, 0.5065168738365173, 0.5051445364952087, 0.5037948489189148, 0.5024670958518982, 0.5011604428291321, 0.49987488985061646, 0.4986104369163513, 0.49736565351486206, 0.4959900975227356, 0.49479132890701294, 0.49360984563827515, 0.4924473166465759, 0.4912557005882263, 0.4901270270347595, 0.48901575803756714, 0.4879222512245178, 0.48684507608413696, 0.4857829213142395, 0.4847378134727478, 0.4837067723274231, 0.4826924204826355, 0.481109082698822, 0.4801279902458191, 0.47903627157211304, 0.4780821204185486, 0.4771425127983093, 0.4764302372932434, 0.4755156636238098, 0.4746130108833313, 0.4737246632575989, 0.4728476405143738, 0.4719836115837097, 0.4711318612098694, 0.4702915549278259, 0.4694632887840271, 0.468647301197052, 0.467842161655426, 0.4671246409416199, 0.4663448929786682, 0.4655757546424866, 0.46481841802597046, 0.464072048664093, 0.46308213472366333, 0.4623602032661438, 0.461647093296051, 0.4609045386314392, 0.46021372079849243, 0.459533154964447, 0.4588624835014343, 0.45820099115371704, 0.4575508236885071, 0.4569094777107239, 0.45627766847610474, 0.455655038356781, 0.4550418257713318, 0.4544374346733093, 0.4538424611091614, 0.4532555937767029, 0.45314913988113403, 0.4525817036628723, 0.452021062374115, 0.451468288898468, 0.450922429561615, 0.450383722782135, 0.4498521685600281, 0.44932764768600464, 0.4486183524131775, 0.44810622930526733, 0.44743651151657104, 0.44693583250045776, 0.4464418292045593, 0.4459531903266907, 0.44547098875045776, 0.44499367475509644, 0.44452136754989624, 0.4440547823905945, 0.4436132311820984, 0.4431583285331726, 0.4427095055580139, 0.4422643780708313, 0.44182461500167847, 0.44139009714126587, 0.4409610629081726, 0.44053715467453003, 0.4401184916496277, 0.4397057890892029, 0.4392973780632019, 0.4388931393623352, 0.4384947419166565, 0.43810170888900757, 0.43771427869796753, 0.4373299479484558, 0.43682557344436646, 0.4360867142677307, 0.4357181191444397, 0.4353054165840149, 0.43494588136672974, 0.43459099531173706, 0.43424123525619507, 0.43389612436294556, 0.43355387449264526, 0.43321627378463745, 0.4328828454017639, 0.4325537085533142, 0.4322277903556824, 0.43190616369247437, 0.4315875172615051, 0.4312734007835388, 0.4309613108634949, 0.43065232038497925, 0.43034642934799194, 0.4300432801246643, 0.42974382638931274, 0.4294458031654358, 0.4291509985923767, 0.42885822057724, 0.4285683035850525, 0.4282798171043396, 0.4279940724372864, 0.42771047353744507, 0.4274281859397888, 0.42714887857437134, 0.42687052488327026, 0.4265945553779602, 0.42632025480270386, 0.426047146320343, 0.42577701807022095, 0.4255083203315735, 0.42524129152297974, 0.4249756932258606, 0.4247118830680847, 0.4245451092720032, 0.4242858290672302, 0.4240284562110901, 0.42369598150253296, 0.42361217737197876, 0.42336326837539673, 0.4231101870536804, 0.42286545038223267, 0.4226227402687073, 0.4224112629890442, 0.42217379808425903, 0.4219375252723694, 0.4217042326927185, 0.4214724898338318, 0.42124277353286743, 0.4210149645805359, 0.4207891821861267, 0.4205889105796814, 0.4203651547431946, 0.4201437830924988, 0.4199257493019104, 0.4197099804878235], forces=[(-0.007854499854147434, -0.01287146471440792, 0.02696336805820465), (-0.0035032478626817465, 0.008749812841415405, 0.03342937305569649), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004459327086806297, -0.014931999146938324, -0.0007680344278924167), (-0.07570741325616837, 0.032757051289081573, -0.004755118861794472), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008090974763035774, -0.003853239817544818, 0.017010187730193138), (-0.014654265716671944, -0.020309140905737877, 0.055611543357372284), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0009568776586093009, -0.016242071986198425, 0.02430185303092003), (-0.0036480282433331013, 0.0007370213861577213, 0.031558580696582794), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.017952749505639076, -0.02021670527756214, -0.008930024690926075), (-0.02762388251721859, -0.01393918041139841, 0.02385365217924118), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010435519739985466, -0.006525284145027399, 0.009473565965890884), (-0.0007670935010537505, -0.01311878114938736, 0.040106140077114105), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002096995012834668, -0.008383353240787983, 0.02482563629746437), (-0.003310549771413207, -0.008461261168122292, 0.02973172813653946), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002684671664610505, -0.014135784469544888, -0.0069426572881639), (0.012913433834910393, -0.02376662939786911, -0.0392569936811924), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006299972999840975, 0.005824042018502951, -0.006245184224098921), (0.002184228738769889, -0.02848452888429165, 0.04649180918931961), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.08005750179290771, 0.02605404704809189, 0.010947413742542267), (0.10741057991981506, -0.05285453423857689, 0.07068485021591187)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=13, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.820827007293701, -0.038554899394512177, 16.900094985961914), (1.3402996063232422, 1.2735605239868164, 18.792083740234375), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8098244667053223, 2.806105375289917, 16.947175979614258), (1.2986605167388916, 4.192878723144531, 18.982877731323242), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8199479579925537, 5.60333251953125, 16.951099395751953), (1.414043664932251, 7.0171356201171875, 18.876968383789062), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.648731231689453, -0.03910006210207939, 16.894912719726562), (4.26207971572876, 1.3167492151260376, 18.8160400390625), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.6331610679626465, 2.806969165802002, 16.919368743896484), (4.264948844909668, 4.181127548217773, 18.971519470214844), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.624024391174316, 5.595336437225342, 16.9674015045166), (4.229210376739502, 7.032588005065918, 18.87248420715332), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.439430236816406, -0.06254859268665314, 16.884429931640625), (7.03650426864624, 1.3739399909973145, 18.8548526763916), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.45014762878418, 2.7956321239471436, 16.9150333404541), (7.027158737182617, 4.19197940826416, 18.89479637145996), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.492730140686035, 5.572418689727783, 16.991127014160156), (7.045166969299316, 7.042722702026367, 18.872455596923828), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (2.594197988510132, 3.5181148052215576, 20.470138549804688), (2.5676119327545166, 2.5156590938568115, 20.39019203186035)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.7946893572807312, energy_trajectory=[2.515061855316162, 2.4891626834869385, 2.467203140258789, 2.4468564987182617, 2.4274604320526123, 2.4089131355285645, 2.390812873840332, 2.372783660888672, 2.3551502227783203, 2.337797164916992, 2.320652723312378, 2.3037004470825195, 2.2868666648864746, 2.270771026611328, 2.2543530464172363, 2.2380642890930176, 2.222459077835083, 2.207319974899292, 2.1928927898406982, 2.1790995597839355, 2.1657254695892334, 2.1528849601745605, 2.140475034713745, 2.1284103393554688, 2.1166915893554688, 2.105246067047119, 2.0941264629364014, 2.0832667350769043, 2.0726497173309326, 2.0620994567871094, 2.0519065856933594, 2.0419139862060547, 2.0319981575012207, 2.0223684310913086, 2.0129685401916504, 2.0036680698394775, 1.9945175647735596, 1.9855053424835205, 1.9766178131103516, 1.9678540229797363, 1.9593226909637451, 1.9507808685302734, 1.9422633647918701, 1.9339113235473633, 1.9256300926208496, 1.9174518585205078, 1.909346342086792, 1.9013221263885498, 1.893364429473877, 1.885474681854248, 1.8775677680969238, 1.869804859161377, 1.861952304840088, 1.8543295860290527, 1.846782922744751, 1.8392949104309082, 1.8319005966186523, 1.824584722518921, 1.8173446655273438, 1.8101751804351807, 1.8030757904052734, 1.7960352897644043, 1.7890512943267822, 1.7821216583251953, 1.775238037109375, 1.7684001922607422, 1.761605978012085, 1.7548584938049316, 1.748154878616333, 1.7415690422058105, 1.734956979751587, 1.7283923625946045, 1.721980333328247, 1.7157368659973145, 1.7092716693878174, 1.7028954029083252, 1.696563482284546, 1.690277338027954, 1.6840364933013916, 1.6778428554534912, 1.6716949939727783, 1.665595531463623, 1.6596331596374512, 1.6536328792572021, 1.6476762294769287, 1.6420869827270508, 1.6362144947052002, 1.6304850578308105, 1.6246955394744873, 1.6190171241760254, 1.6133008003234863, 1.6076183319091797, 1.6019666194915771, 1.5963468551635742, 1.590754508972168, 1.585193157196045, 1.5796611309051514, 1.5740816593170166, 1.568610668182373, 1.5631706714630127, 1.5577592849731445, 1.552382469177246, 1.5470225811004639, 1.5416758060455322, 1.5363714694976807, 1.5310685634613037, 1.5257925987243652, 1.5205466747283936, 1.5153298377990723, 1.5101444721221924, 1.5044944286346436, 1.49937105178833, 1.4942758083343506, 1.4892075061798096, 1.4841651916503906, 1.4791500568389893, 1.4743609428405762, 1.4693973064422607, 1.4642448425292969, 1.4593315124511719, 1.4547247886657715, 1.449862003326416, 1.445021152496338, 1.440199613571167, 1.435352087020874, 1.4304969310760498, 1.4257314205169678, 1.420985460281372, 1.4162616729736328, 1.4115493297576904, 1.4068872928619385, 1.4028191566467285, 1.3977985382080078, 1.3931505680084229, 1.388519048690796, 1.3839027881622314, 1.3793060779571533, 1.374725103378296, 1.3701629638671875, 1.3656196594238281, 1.3610968589782715, 1.3565940856933594, 1.3520097732543945, 1.3475472927093506, 1.3429481983184814, 1.3385303020477295, 1.3341374397277832, 1.3297691345214844, 1.325425386428833, 1.3211073875427246, 1.3168110847473145, 1.3125395774841309, 1.3082928657531738, 1.3040673732757568, 1.2998645305633545, 1.2956836223602295, 1.291524887084961, 1.2873859405517578, 1.2832703590393066, 1.2791755199432373, 1.275101661682129, 1.2710440158843994, 1.267005443572998, 1.262984037399292, 1.2589788436889648, 1.25477933883667, 1.2508032321929932, 1.2468397617340088, 1.2428889274597168, 1.2389490604400635, 1.2350192070007324, 1.2310996055603027, 1.2271885871887207, 1.223287582397461, 1.219395637512207, 1.2150216102600098, 1.2111477851867676, 1.2072815895080566, 1.2036173343658447, 1.1993639469146729, 1.1955249309539795, 1.1916909217834473, 1.1878621578216553, 1.1840400695800781, 1.1801860332489014, 1.1762001514434814, 1.1723976135253906, 1.1686015129089355, 1.1648108959197998, 1.1610260009765625, 1.1572470664978027, 1.153472900390625, 1.1497046947479248, 1.145942211151123, 1.142186164855957, 1.1384379863739014, 1.1346967220306396, 1.1309616565704346, 1.1272330284118652, 1.123511552810669, 1.1197967529296875, 1.116088628768921, 1.1123876571655273, 1.108691930770874, 1.1050024032592773, 1.1013190746307373, 1.0973973274230957, 1.0937318801879883, 1.089961290359497, 1.0863022804260254, 1.0826547145843506, 1.0790162086486816, 1.0754454135894775, 1.0718226432800293, 1.0682098865509033, 1.0646061897277832, 1.0610136985778809, 1.0574302673339844, 1.053858757019043, 1.050297498703003, 1.0467464923858643, 1.0432062149047852, 1.039677381515503, 1.036158800125122, 1.0325844287872314, 1.0290844440460205, 1.0255963802337646, 1.0221188068389893, 1.0186529159545898, 1.0151968002319336, 1.0117518901824951, 1.008317470550537, 1.0048935413360596, 1.0014803409576416, 0.9980769753456116, 0.9952208399772644, 0.9918432831764221, 0.988473117351532, 0.9851122498512268, 0.9817619919776917, 0.9784199595451355, 0.9750892519950867, 0.9717671275138855, 0.9684553742408752, 0.9651526808738708, 0.961859405040741, 0.9585744738578796, 0.9552990794181824, 0.9520325064659119, 0.9487749934196472, 0.945152223110199, 0.9419196248054504, 0.9386916756629944, 0.9354713559150696, 0.9322595000267029, 0.9290542006492615, 0.9258571267127991, 0.9228647351264954, 0.9196850657463074, 0.9165129065513611, 0.9134463667869568, 0.9102904200553894, 0.9071401953697205, 0.9039976000785828, 0.9008616805076599, 0.8977308869361877, 0.8946163058280945, 0.8914973139762878, 0.8883842825889587, 0.8852779269218445, 0.8821784853935242, 0.8790461421012878, 0.8759589791297913, 0.8728782534599304, 0.8698037266731262, 0.8667338490486145, 0.8636719584465027, 0.8606163859367371, 0.8575653433799744, 0.8545213341712952, 0.8514836430549622, 0.8484516739845276, 0.8454260230064392, 0.8424062132835388, 0.839393675327301, 0.8363872170448303, 0.833386242389679, 0.8304030299186707, 0.8274137377738953, 0.8244219422340393, 0.8214446902275085, 0.8184729218482971, 0.815509021282196, 0.8125507235527039, 0.8095992207527161, 0.8066161274909973, 0.8036770224571228, 0.8007444739341736, 0.797819197177887, 0.7946893572807312], forces=[(-0.010548325255513191, -0.007160458713769913, -0.005422258749604225), (0.08448924869298935, 0.09193255752325058, 0.06610189378261566), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016433706507086754, 0.0030342109967023134, 0.012481865473091602), (-0.11488229036331177, 0.02558806538581848, -0.007328573614358902), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011059939861297607, -0.02711033634841442, 0.019223811104893684), (-0.01401222962886095, 0.005123402923345566, -0.02009584754705429), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00829925574362278, -0.018560798838734627, -0.015846895053982735), (-0.06608548760414124, 0.007293174508959055, 0.02077704295516014), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.024359753355383873, -0.014797692187130451, 0.004880284890532494), (-0.046925824135541916, -0.08185038715600967, 0.1285787969827652), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03703939542174339, -0.04084357991814613, 0.025206850841641426), (-0.005924012046307325, -0.02109621837735176, -0.013653242960572243), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006215647328644991, 0.003964450675994158, 0.0003375484375283122), (0.007056330796331167, -0.04357591271400452, -0.026969896629452705), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0008769558044150472, -0.01584932953119278, -0.0018198051257058978), (-0.03844664245843887, -0.036322977393865585, 0.007527749519795179), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.044340748339891434, 0.005497110076248646, -0.04775530844926834), (-0.002710145665332675, -0.020946338772773743, -0.013443478383123875), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.2943265438079834, 0.449194997549057, -0.11803344637155533), (0.14891907572746277, 0.49886882305145264, 0.05338423326611519)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=14, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8273470401763916, -0.00023747951490804553, 16.92329978942871), (1.3888781070709229, 1.39715576171875, 18.8397274017334), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8487582206726074, 2.785771131515503, 16.94819450378418), (1.4011081457138062, 4.231003284454346, 18.84265899658203), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8123903274536133, 5.627874374389648, 16.899173736572266), (1.3948320150375366, 7.038037300109863, 18.842267990112305), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.621466636657715, 0.014211812987923622, 16.93649673461914), (4.183457374572754, 1.4202237129211426, 19.01671600341797), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.631687164306641, 2.805281162261963, 16.932876586914062), (4.231480121612549, 4.246415615081787, 18.840011596679688), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.642261028289795, 5.636838912963867, 16.901355743408203), (4.2152228355407715, 7.0156755447387695, 18.82527732849121), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.460083961486816, -0.007073736749589443, 16.901201248168945), (7.08051872253418, 1.4116077423095703, 18.825115203857422), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.46975040435791, 2.823282480239868, 16.900047302246094), (7.059256553649902, 4.235787391662598, 18.84100914001465), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.460890769958496, 5.638044357299805, 16.901090621948242), (7.050449371337891, 7.043790340423584, 18.83628273010254), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.441937446594238, 1.1841689348220825, 20.971323013305664), (3.656068801879883, 0.693128228187561, 21.290170669555664)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8746291995048523, energy_trajectory=[1.2549431324005127, 1.2449440956115723, 1.2368760108947754, 1.2287631034851074, 1.2207145690917969, 1.2126195430755615, 1.2046499252319336, 1.1966869831085205, 1.1887681484222412, 1.1808319091796875, 1.1729798316955566, 1.1651124954223633, 1.157459020614624, 1.1497271060943604, 1.142099142074585, 1.134148359298706, 1.126845359802246, 1.1196403503417969, 1.1122691631317139, 1.104853630065918, 1.097527265548706, 1.0900969505310059, 1.0827012062072754, 1.0754752159118652, 1.0683422088623047, 1.0610079765319824, 1.0539844036102295, 1.047006368637085, 1.0399646759033203, 1.0342473983764648, 1.0275239944458008, 1.0209777355194092, 1.0146851539611816, 1.0084831714630127, 1.0024397373199463, 0.9965506196022034, 0.9908118844032288, 0.9850302338600159, 0.9795374274253845, 0.9742251038551331, 0.9690609574317932, 0.9640207886695862, 0.9591163992881775, 0.9543052315711975, 0.9496660828590393, 0.9448264241218567, 0.9404532313346863, 0.9359797835350037, 0.9318838715553284, 0.9278447031974792, 0.9240170121192932, 0.9203220009803772, 0.9166987538337708, 0.913266122341156, 0.9099614024162292, 0.9067849516868591, 0.9038011431694031, 0.9008776545524597, 0.8980769515037537, 0.8953732848167419, 0.8926391005516052, 0.8901806473731995, 0.8878715634346008, 0.8856359124183655, 0.8835696578025818, 0.8816335797309875, 0.8799741864204407, 0.878296434879303, 0.8767513632774353, 0.8753123879432678, 0.8740202784538269, 0.8729057908058167, 0.871975839138031, 0.8712760806083679, 0.8705900311470032, 0.8700157999992371, 0.8693839907646179, 0.8689568638801575, 0.8686721920967102, 0.8682830929756165, 0.8678979277610779, 0.8676069378852844, 0.8672419190406799, 0.8659866452217102, 0.865598738193512, 0.8649075627326965, 0.8645305037498474, 0.864085853099823, 0.863710343837738, 0.8633354306221008, 0.8629695773124695, 0.8629364371299744, 0.8626351952552795, 0.8624455332756042, 0.8622917532920837, 0.8622310757637024, 0.8622669577598572, 0.8623949885368347, 0.8626078963279724, 0.8628950715065002, 0.8632541298866272, 0.8636025786399841, 0.8640571236610413, 0.8647124171257019, 0.8652227520942688, 0.8657585978507996, 0.8663038611412048, 0.8670215010643005, 0.8675711750984192, 0.8682590126991272, 0.8688036799430847, 0.8693392872810364, 0.8698667883872986, 0.8703873753547668, 0.8695688843727112, 0.8700624108314514, 0.8705409169197083, 0.8710072636604309, 0.8716148734092712, 0.8720510601997375, 0.8724732995033264, 0.8728792071342468, 0.8732699751853943, 0.8736431002616882, 0.8740020394325256, 0.874344527721405, 0.8746710419654846, 0.8749807476997375, 0.8752774596214294, 0.8755559325218201, 0.8758189082145691, 0.8760684132575989, 0.8763009905815125, 0.8765191435813904, 0.8767223954200745, 0.8769122958183289, 0.8770864605903625, 0.877248227596283, 0.8773936629295349, 0.8775268197059631, 0.8776485323905945, 0.8777560591697693, 0.8778507113456726, 0.8779341578483582, 0.8780079483985901, 0.8780692219734192, 0.8781203627586365, 0.8781610131263733, 0.8781923651695251, 0.878215491771698, 0.8782262206077576, 0.8782309889793396, 0.8782266974449158, 0.878216564655304, 0.8781985640525818, 0.8781730532646179, 0.8781417012214661, 0.8781067728996277, 0.8780668377876282, 0.8780209422111511, 0.8779718279838562, 0.8779194951057434, 0.8749731183052063, 0.8749073147773743, 0.8747212290763855, 0.874650776386261, 0.874579131603241, 0.8745034337043762, 0.8744290471076965, 0.8743510842323303, 0.8742724061012268, 0.8741948008537292, 0.8741163611412048, 0.874036967754364, 0.8739596009254456, 0.8738816380500793, 0.8736039996147156, 0.8735039830207825, 0.873319685459137, 0.873249351978302, 0.8731985688209534, 0.8731314539909363, 0.8730646967887878, 0.8730010390281677, 0.8730394244194031, 0.8729789853096008, 0.8729200959205627, 0.8728621602058411, 0.8727268576622009, 0.8726699948310852, 0.8726168274879456, 0.8725643754005432, 0.8725122809410095, 0.8724614977836609, 0.872410237789154, 0.8724614977836609, 0.8724151253700256, 0.8723697066307068, 0.8723258376121521, 0.8722812533378601, 0.8722366690635681, 0.8721924424171448, 0.8721488118171692, 0.8750422596931458, 0.8749694228172302, 0.8748994469642639, 0.8748297095298767, 0.8747617602348328, 0.8746955990791321, 0.8746291995048523, 0.8734999299049377, 0.8733839392662048, 0.8703667521476746, 0.8702201247215271, 0.8698746562004089, 0.8697616457939148, 0.8696487545967102, 0.8695386052131653, 0.8694291710853577, 0.8693234324455261, 0.8692190051078796, 0.8691173195838928, 0.8690152764320374, 0.8689181208610535, 0.8688238263130188, 0.8687310814857483, 0.8686076998710632, 0.8686419129371643, 0.8685579895973206, 0.8684776425361633, 0.8683989644050598, 0.8683835864067078, 0.8683133721351624, 0.8682466149330139, 0.8681822419166565, 0.8681228756904602, 0.8680658936500549, 0.8680161833763123, 0.8679673075675964, 0.8679239153862, 0.8679171204566956, 0.8678827881813049, 0.8678496479988098, 0.8678233027458191, 0.8677998185157776, 0.8677822947502136, 0.8677673935890198, 0.867758572101593, 0.8677516579627991, 0.8677970767021179, 0.8677110075950623, 0.86782306432724, 0.867832362651825, 0.8678465485572815, 0.8678647875785828, 0.867885410785675, 0.8679117560386658, 0.867941677570343, 0.8679764866828918, 0.8680141568183899, 0.8677627444267273, 0.8678128123283386, 0.8678622841835022, 0.8679690957069397, 0.8708447813987732, 0.8708804249763489, 0.8712559342384338, 0.8713012337684631, 0.8713447451591492, 0.8713987469673157, 0.8714576363563538, 0.8715193867683411, 0.8716627955436707, 0.871730387210846, 0.8718063235282898, 0.8718854784965515, 0.8719680905342102, 0.8720563054084778, 0.8721470236778259, 0.8722419142723083, 0.8723433613777161, 0.8724482655525208, 0.8725550770759583, 0.8728918433189392, 0.8730116486549377, 0.8731310963630676, 0.8732563853263855, 0.8733839392662048, 0.8735151886940002, 0.8736470341682434, 0.8737687468528748, 0.8739079833030701, 0.8740504384040833, 0.8741942048072815, 0.874340832233429, 0.8744867444038391, 0.8742788434028625, 0.8743231892585754, 0.8744756579399109, 0.8746291995048523], forces=[(0.008047454059123993, 0.009321053512394428, 0.022788040339946747), (0.002495145658031106, 0.005182255525141954, 0.01222053449600935), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0008467413135804236, 0.0021808987949043512, 0.010213332250714302), (-0.0006761237164027989, 0.004558206535875797, 0.014903314411640167), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0014991303905844688, 0.004671161528676748, 0.007031851448118687), (0.0037356296088546515, 0.0016602358082309365, 0.015055716969072819), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003412098390981555, 0.004929428920149803, 0.01967223361134529), (0.011792520992457867, 0.011232635006308556, 0.06304012984037399), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005135853309184313, -0.003139183623716235, 0.012471659108996391), (0.0004490048158913851, 0.003275056602433324, 0.0119486628100276), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002458090428262949, 0.0018574679270386696, 0.006397126708179712), (0.0063553922809660435, 0.0003763537388294935, 0.020344888791441917), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0023669744841754436, -0.0001677495165495202, 0.007429898250848055), (-0.002995462855324149, 0.0008677433943375945, 0.015268249437212944), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002673476468771696, 0.0009903399040922523, 0.006260592956095934), (0.002584000350907445, 0.00015172043640632182, 0.01559256762266159), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0025777199771255255, 0.000322482839692384, 0.007676065433770418), (0.005942565388977528, -0.001471792347729206, 0.015921443700790405), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05414611101150513, 0.018076805397868156, 0.04007994011044502), (0.002440584823489189, 0.007914766669273376, 0.05248730629682541)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=15, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8386993408203125, -0.016287606209516525, 16.940406799316406), (1.4037816524505615, 1.415148138999939, 18.84089469909668), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8168487548828125, 2.8254191875457764, 16.903112411499023), (1.3994898796081543, 4.2202935218811035, 18.845216751098633), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.829448699951172, 5.65911865234375, 16.93461799621582), (1.3783280849456787, 7.046010494232178, 18.83321762084961), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.624256134033203, -0.009785902686417103, 16.938276290893555), (4.236220359802246, 1.4535081386566162, 18.83149528503418), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.644968509674072, 2.8310959339141846, 16.90308380126953), (4.223566055297852, 4.234952449798584, 18.842723846435547), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6132965087890625, 5.67390251159668, 16.948816299438477), (4.224308490753174, 7.070159912109375, 19.049053192138672), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.460860252380371, 0.002009091665968299, 16.902326583862305), (7.061985969543457, 1.4196984767913818, 18.84303092956543), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.462187767028809, 2.8207993507385254, 16.90239715576172), (7.053597450256348, 4.226036548614502, 18.84522819519043), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.45529842376709, 5.635800838470459, 16.902000427246094), (7.071500301361084, 7.0550618171691895, 18.842578887939453), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.1150221824646, 7.243032455444336, 21.023523330688477), (3.8101518154144287, 6.376607894897461, 21.364330291748047)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.866407573223114, energy_trajectory=[1.2467396259307861, 1.235048532485962, 1.2266364097595215, 1.218506097793579, 1.2102572917938232, 1.201758623123169, 1.1937282085418701, 1.185901403427124, 1.1780335903167725, 1.1702005863189697, 1.162334680557251, 1.1547534465789795, 1.1470887660980225, 1.1393587589263916, 1.1317811012268066, 1.1245200634002686, 1.1172316074371338, 1.1095845699310303, 1.1022741794586182, 1.0949018001556396, 1.087480068206787, 1.0800161361694336, 1.0727932453155518, 1.06561279296875, 1.0582594871520996, 1.0511548519134521, 1.04408860206604, 1.0370633602142334, 1.0302088260650635, 1.0234324932098389, 1.0169289112091064, 1.0105938911437988, 1.0044732093811035, 0.9982437491416931, 0.992379367351532, 0.9866982102394104, 0.9810091853141785, 0.9754275679588318, 0.9701467156410217, 0.9650065302848816, 0.9599857926368713, 0.9551339745521545, 0.9504076838493347, 0.945877730846405, 0.9412898421287537, 0.9369819760322571, 0.9327176213264465, 0.9282613396644592, 0.9243435263633728, 0.9205591082572937, 0.9169406294822693, 0.9133146405220032, 0.9099099040031433, 0.9066073298454285, 0.9034510254859924, 0.9004124999046326, 0.89751797914505, 0.8946868777275085, 0.892037570476532, 0.8896514773368835, 0.8873249888420105, 0.8852360844612122, 0.883375346660614, 0.881561815738678, 0.8799363970756531, 0.878605306148529, 0.8774495720863342, 0.8764542937278748, 0.8755970597267151, 0.8748541474342346, 0.8741666674613953, 0.8735807538032532, 0.8730410933494568, 0.8724685311317444, 0.8719804883003235, 0.8715085387229919, 0.8710464835166931, 0.8705291152000427, 0.8700799345970154, 0.8696425557136536, 0.8692168593406677, 0.8688023686408997, 0.8684036135673523, 0.8680228590965271, 0.8676630854606628, 0.8673253655433655, 0.8670122027397156, 0.8667227625846863, 0.8664585947990417, 0.8662200570106506, 0.8659233450889587, 0.8657302260398865, 0.8655591607093811, 0.8654064536094666, 0.8652802109718323, 0.8651583790779114, 0.8650482296943665, 0.8649470210075378, 0.8648552298545837, 0.8647666573524475, 0.8651502728462219, 0.8649230599403381, 0.8648549914360046, 0.8647728562355042, 0.8646925091743469, 0.8646115660667419, 0.8645622134208679, 0.8644796013832092, 0.8643962740898132, 0.8643128275871277, 0.864226758480072, 0.8641400933265686, 0.8640521168708801, 0.8639617562294006, 0.8638706803321838, 0.8637781739234924, 0.863685667514801, 0.863590657711029, 0.8634946942329407, 0.8633981347084045, 0.8633007407188416, 0.8632037043571472, 0.8631033301353455, 0.8630052208900452, 0.862906277179718, 0.8628093600273132, 0.8626579642295837, 0.8625596165657043, 0.8624641299247742, 0.8623669743537903, 0.8622724413871765, 0.8621751666069031, 0.8620817065238953, 0.8619886040687561, 0.861895740032196, 0.8619558215141296, 0.8617969155311584, 0.8617056012153625, 0.8616148829460144, 0.8615239262580872, 0.8614346385002136, 0.8613461852073669, 0.8612582087516785, 0.8611710667610168, 0.8610832095146179, 0.8609971404075623, 0.860913097858429, 0.8608271479606628, 0.8607918620109558, 0.8607098460197449, 0.8606253266334534, 0.8605416417121887, 0.86045902967453, 0.8603771328926086, 0.8602805733680725, 0.8602002263069153, 0.8601189255714417, 0.8600407242774963, 0.8599628806114197, 0.8598871827125549, 0.8600606322288513, 0.8599860072135925, 0.8599147200584412, 0.8598453402519226, 0.8597766757011414, 0.8568632006645203, 0.8571215271949768, 0.8570703864097595, 0.8570201992988586, 0.856970489025116, 0.8569217324256897, 0.8568750023841858, 0.8568291068077087, 0.8567842841148376, 0.8567091822624207, 0.8566680550575256, 0.8566290736198425, 0.8565911650657654, 0.8565534949302673, 0.856517493724823, 0.8564837574958801, 0.8565438389778137, 0.8594838976860046, 0.8596407771110535, 0.8595374226570129, 0.859503448009491, 0.8594697117805481, 0.859434187412262, 0.8593987822532654, 0.8593632578849792, 0.8593286871910095, 0.8592937588691711, 0.8592533469200134, 0.8592149615287781, 0.8591745495796204, 0.859132707118988, 0.8590882420539856, 0.8558394312858582, 0.8558034300804138, 0.858275830745697, 0.8582187294960022, 0.8582727313041687, 0.85821932554245, 0.8581636548042297, 0.8581110835075378, 0.858058512210846, 0.8577650189399719, 0.8577130436897278, 0.8576598763465881, 0.8578870892524719, 0.8578264117240906, 0.8577691912651062, 0.8577132821083069, 0.857658326625824, 0.8576052784919739, 0.8582375645637512, 0.8581803441047668, 0.8581253886222839, 0.8580730557441711, 0.8580214381217957, 0.8579720854759216, 0.8579216599464417, 0.8578734993934631, 0.8578271269798279, 0.8563218712806702, 0.8563041090965271, 0.8559697270393372, 0.8588138222694397, 0.8587797284126282, 0.8587504029273987, 0.8587223887443542, 0.8586964011192322, 0.8586747050285339, 0.8586563467979431, 0.8586373925209045, 0.8586233258247375, 0.858611524105072, 0.8586828112602234, 0.858674943447113, 0.8586706519126892, 0.8586676716804504, 0.8586680293083191, 0.8586694598197937, 0.8586738705635071, 0.8586823344230652, 0.8586923480033875, 0.8586351275444031, 0.8586496710777283, 0.8586668372154236, 0.8586874604225159, 0.8587107062339783, 0.8587366938591003, 0.8587650656700134, 0.8572238087654114, 0.8573511242866516, 0.8576462864875793, 0.8576952815055847, 0.8577439188957214, 0.8577982783317566, 0.8578527569770813, 0.8579567074775696, 0.8580195307731628, 0.8580842614173889, 0.8581531643867493, 0.8582250475883484, 0.85830157995224, 0.8583802580833435, 0.858464777469635, 0.858552873134613, 0.8586451411247253, 0.8587421774864197, 0.8588327765464783, 0.8589363694190979, 0.8589981198310852, 0.859108030796051, 0.859221875667572, 0.8621545433998108, 0.862271249294281, 0.8623926043510437, 0.8625218272209167, 0.8626560568809509, 0.8627956509590149, 0.8631146550178528, 0.8634065985679626, 0.8635637164115906, 0.8637264370918274, 0.8638946413993835, 0.8640642762184143, 0.8642417788505554, 0.8644210696220398, 0.8646044135093689, 0.8647914528846741, 0.8649839758872986, 0.8651793599128723, 0.8653776049613953, 0.8655772805213928, 0.8657830357551575, 0.8659883141517639, 0.866197407245636, 0.866407573223114], forces=[(0.001729531679302454, -0.0029936551582068205, 0.013744342140853405), (-0.002618869999423623, 0.007342917378991842, 0.00881186593323946), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0016533994348719716, -0.002315828111022711, 0.0059044198133051395), (-0.00022704884759150445, 0.005522830877453089, 0.008840701542794704), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003109525889158249, 0.0032674360554665327, 0.009132626466453075), (0.0012470075162127614, 0.0059251850470900536, 0.010770674794912338), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0013292881194502115, -0.0019683369901031256, 0.010609174147248268), (-0.0026135083753615618, -0.009093984961509705, 0.009808845818042755), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (2.3358372800430516e-06, -0.0019191232277080417, 0.006424070801585913), (0.000613690004684031, -0.010004440322518349, 0.004020340275019407), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001109353150241077, 0.0005670578102581203, 0.009832850657403469), (0.011607072316110134, -0.030186017975211143, 0.03368673473596573), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0004800418100785464, 0.003293920774012804, 0.006958681624382734), (-0.0025195737835019827, 0.0033490010537207127, 0.009557642973959446), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0008992947405204177, 0.0024517520796507597, 0.006331978365778923), (0.0027411391492933035, 0.0011342802317813039, 0.008508605882525444), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0010872113052755594, 0.0021256401669234037, 0.006770836655050516), (-0.0016115116886794567, 0.0025905671063810587, 0.006667165085673332), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.018722470849752426, -0.05201278626918793, 0.00417485972866416), (-0.004309822805225849, -0.012072081677615643, 0.02062489278614521)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=16, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8368446826934814, -0.00679353903979063, 16.89266586303711), (1.4702333211898804, 1.4118489027023315, 18.81952476501465), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.837749719619751, 2.824657440185547, 16.893909454345703), (1.4267752170562744, 4.23552131652832, 18.83573341369629), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8268496990203857, 5.639853000640869, 16.893653869628906), (1.430171012878418, 7.040172100067139, 18.82950782775879), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.671613693237305, 0.01848641224205494, 16.944740295410156), (4.203481674194336, 1.4106038808822632, 18.855392456054688), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.67758321762085, 2.7927639484405518, 16.953350067138672), (4.230100154876709, 4.243084907531738, 18.83857536315918), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.64191198348999, 5.637688159942627, 16.896358489990234), (4.228109836578369, 7.040450096130371, 18.8394718170166), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.452086448669434, 0.019492782652378082, 16.948665618896484), (6.944671630859375, 1.4005911350250244, 19.05405044555664), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.460073471069336, 2.8044118881225586, 16.938861846923828), (7.0630106925964355, 4.247440814971924, 18.836524963378906), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.46976089477539, 5.641241073608398, 16.899839401245117), (7.0512166023254395, 7.017948627471924, 18.83330726623535), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (7.5439581871032715, 1.323190689086914, 20.946582794189453), (8.221467018127441, 2.0251822471618652, 21.051328659057617)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8980883955955505, energy_trajectory=[1.4404075145721436, 1.42763352394104, 1.4164516925811768, 1.4059627056121826, 1.3956494331359863, 1.3854246139526367, 1.375589370727539, 1.3662168979644775, 1.3572289943695068, 1.348680019378662, 1.340580940246582, 1.3326349258422852, 1.3250808715820312, 1.3176863193511963, 1.310854434967041, 1.3038008213043213, 1.2970821857452393, 1.290560245513916, 1.2838194370269775, 1.277489185333252, 1.2712156772613525, 1.2650525569915771, 1.2590019702911377, 1.2531328201293945, 1.2472865581512451, 1.24153470993042, 1.2358779907226562, 1.2303037643432617, 1.224813461303711, 1.2194018363952637, 1.2140674591064453, 1.2087891101837158, 1.203601598739624, 1.1984846591949463, 1.1934387683868408, 1.1884608268737793, 1.1835448741912842, 1.1787028312683105, 1.1739256381988525, 1.1692140102386475, 1.1645712852478027, 1.1599924564361572, 1.1553564071655273, 1.1509711742401123, 1.1465892791748047, 1.1422722339630127, 1.13801908493042, 1.1338305473327637, 1.1297049522399902, 1.1256415843963623, 1.1216394901275635, 1.1173923015594482, 1.1133832931518555, 1.1095707416534424, 1.1058168411254883, 1.1029784679412842, 1.0993387699127197, 1.0957551002502441, 1.0922260284423828, 1.0887508392333984, 1.085329294204712, 1.0819611549377441, 1.0786471366882324, 1.0753841400146484, 1.072173833847046, 1.069016456604004, 1.0659103393554688, 1.0628547668457031, 1.059647560119629, 1.0566985607147217, 1.0537731647491455, 1.050929307937622, 1.0480923652648926, 1.0451984405517578, 1.0425105094909668, 1.0396857261657715, 1.0371043682098389, 1.0348496437072754, 1.0323865413665771, 1.0299701690673828, 1.0276069641113281, 1.0252974033355713, 1.0230417251586914, 1.0208394527435303, 1.0186915397644043, 1.0165960788726807, 1.0146679878234863, 1.0126738548278809, 1.0107324123382568, 1.0087175369262695, 1.0068354606628418, 1.0051443576812744, 1.0033962726593018, 1.0016953945159912, 1.0002977848052979, 0.9987273812294006, 0.9971584677696228, 0.9957650303840637, 0.9942782521247864, 0.9928300976753235, 0.9915899634361267, 0.9902085661888123, 0.9888649582862854, 0.9875026345252991, 0.9862057566642761, 0.984955370426178, 0.9837338328361511, 0.9825432896614075, 0.9813780188560486, 0.9802380204200745, 0.9791243672370911, 0.9780341982841492, 0.9769697785377502, 0.9759276509284973, 0.9749078154563904, 0.973911702632904, 0.9729184508323669, 0.9719597697257996, 0.9710239768028259, 0.9701077342033386, 0.9692133069038391, 0.9683385491371155, 0.9674856066703796, 0.9666518568992615, 0.965829074382782, 0.9650337100028992, 0.9642555117607117, 0.9634969830513, 0.9627543091773987, 0.9620288014411926, 0.961320698261261, 0.9606308341026306, 0.9599571824073792, 0.9592968821525574, 0.958652913570404, 0.9580263495445251, 0.95741206407547, 0.9568096995353699, 0.9562219977378845, 0.9555187821388245, 0.9549536108970642, 0.9544022679328918, 0.953961193561554, 0.953432023525238, 0.9529126286506653, 0.9524034857749939, 0.9519035220146179, 0.951413094997406, 0.9509300589561462, 0.9504569172859192, 0.9499874711036682, 0.94952791929245, 0.9487939476966858, 0.9483442902565002, 0.9479016661643982, 0.9478667378425598, 0.9474335312843323, 0.9470053315162659, 0.9465813040733337, 0.9461604952812195, 0.9457433819770813, 0.9453300833702087, 0.9449195265769958, 0.9445111155509949, 0.9441068768501282, 0.9437713027000427, 0.942760169506073, 0.9423550963401794, 0.9419532418251038, 0.9415516257286072, 0.9411515593528748, 0.9407519698143005, 0.9403544068336487, 0.9399581551551819, 0.9395628571510315, 0.9391664862632751, 0.9390372633934021, 0.9386425614356995, 0.938248336315155, 0.9378554224967957, 0.9374608397483826, 0.9370676875114441, 0.936674177646637, 0.9362788796424866, 0.9358853697776794, 0.9354919791221619, 0.9350982308387756, 0.9347053170204163, 0.9343112111091614, 0.9339177012443542, 0.933523952960968, 0.9331308007240295, 0.932739794254303, 0.9323464035987854, 0.9319519400596619, 0.9315592646598816, 0.9311651587486267, 0.9307708144187927, 0.9303784966468811, 0.9299851059913635, 0.9287657141685486, 0.9283738732337952, 0.9279804825782776, 0.9275556206703186, 0.9271611571311951, 0.9267686009407043, 0.9263765215873718, 0.9259858727455139, 0.9255955815315247, 0.9251229166984558, 0.9247363209724426, 0.9243478178977966, 0.9239626526832581, 0.9235793948173523, 0.9231982827186584, 0.9228171706199646, 0.9224384427070618, 0.9220632910728455, 0.9216874241828918, 0.921315610408783, 0.9209449887275696, 0.9205772280693054, 0.9202110171318054, 0.9204058051109314, 0.9200407862663269, 0.9196785092353821, 0.9193198084831238, 0.9189627766609192, 0.9181273579597473, 0.9177774786949158, 0.917430579662323, 0.917086660861969, 0.9167426228523254, 0.9163852334022522, 0.9160434603691101, 0.9157066941261292, 0.915344774723053, 0.9150120615959167, 0.9146818518638611, 0.9143553376197815, 0.914032518863678, 0.9137110114097595, 0.9133937954902649, 0.9130780100822449, 0.91276615858078, 0.9125266671180725, 0.9122183918952942, 0.9119122624397278, 0.9116092324256897, 0.9113083481788635, 0.9108951687812805, 0.9105972647666931, 0.9103010296821594, 0.9100072979927063, 0.9097152352333069, 0.9093340039253235, 0.9090448021888733, 0.9087578654289246, 0.9084730744361877, 0.9081916213035583, 0.9079104065895081, 0.9076289534568787, 0.9073511958122253, 0.9070752263069153, 0.9068015217781067, 0.9065271019935608, 0.9062559008598328, 0.9059862494468689, 0.9057182669639587, 0.9054502844810486, 0.905186116695404, 0.9049219489097595, 0.9046593308448792, 0.9043988585472107, 0.9041399359703064, 0.9039067625999451, 0.903620183467865, 0.9033668637275696, 0.9031162858009338, 0.902865469455719, 0.9026183485984802, 0.9023705124855042, 0.9021239876747131, 0.9018792510032654, 0.9016371369361877, 0.90139240026474, 0.9011532664299011, 0.90091472864151, 0.9006684422492981, 0.9004331231117249, 0.9001994729042053, 0.899965226650238, 0.8997336030006409, 0.899505078792572, 0.8992765545845032, 0.8990470767021179, 0.8988208174705505, 0.8985349535942078, 0.8983098864555359, 0.8980883955955505], forces=[(-0.01574813760817051, 0.00204947916790843, 0.023376449942588806), (-0.030107324942946434, -0.0017206186894327402, 0.039174821227788925), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01477645430713892, -0.0017443953547626734, 0.023148763924837112), (-0.01218094676733017, -0.001716888160444796, 0.03429211676120758), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005661322735249996, 0.00023072965268511325, 0.024721765890717506), (-0.01366397924721241, 0.003206998808309436, 0.035436298698186874), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015230253338813782, -0.00594403175637126, 0.002582353539764881), (-0.00714581273496151, -0.0030296759214252234, 0.01931149698793888), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01720060221850872, 0.004740016534924507, 0.0009231714066118002), (-0.004770409781485796, -0.006398223806172609, 0.030472531914711), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0033579845912754536, -1.2375390952001908e-06, 0.02131075970828533), (-0.006213819608092308, 0.002494506072252989, 0.030766265466809273), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004506142809987068, -0.007179190870374441, 0.007167201489210129), (0.02838810347020626, -0.0044601596891880035, -0.018303852528333664), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006170528009533882, 0.005031740292906761, 0.008769421838223934), (-0.010035651735961437, -0.00962942186743021, 0.028021477162837982), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005594898480921984, -0.00104671367444098, 0.021833928301930428), (-0.008716929703950882, 0.0051463693380355835, 0.028964146971702576), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009990927763283253, 0.035270582884550095, -0.0023515995126217604), (-0.03682984039187431, 0.036990001797676086, 0.09615166485309601)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=17, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.85766339302063, 0.013820145279169083, 16.945072174072266), (1.4822449684143066, 1.3997844457626343, 18.887218475341797), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8571746349334717, 2.802431344985962, 16.94907569885254), (1.4266839027404785, 4.240263938903809, 18.858360290527344), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8232884407043457, 5.636954307556152, 16.90497589111328), (1.4266153573989868, 7.035140514373779, 18.856943130493164), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.65421199798584, 0.015565878711640835, 16.960498809814453), (4.202316761016846, 1.4411087036132812, 19.03689956665039), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.656424522399902, 2.7974777221679688, 16.955671310424805), (4.244755268096924, 4.251135349273682, 18.859697341918945), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.645387172698975, 5.636672019958496, 16.909101486206055), (4.233725070953369, 7.030019760131836, 18.847755432128906), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.479619979858398, 0.0036433835048228502, 16.92760467529297), (7.255021095275879, 1.3956754207611084, 18.952726364135742), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.475205421447754, 2.7969563007354736, 16.935152053833008), (7.08066463470459, 4.238026142120361, 18.841556549072266), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.480664253234863, 5.632442951202393, 16.896453857421875), (7.0826616287231445, 7.005067825317383, 18.83053970336914), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.874392032623291, 1.2786953449249268, 20.50627326965332), (6.03364896774292, 2.094515800476074, 21.030996322631836)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5140107274055481, energy_trajectory=[1.5283613204956055, 1.5134806632995605, 1.502500295639038, 1.4920706748962402, 1.4821770191192627, 1.4725704193115234, 1.4634819030761719, 1.4544854164123535, 1.4458038806915283, 1.437420129776001, 1.4291620254516602, 1.4209315776824951, 1.4129321575164795, 1.4049410820007324, 1.3968627452850342, 1.3888542652130127, 1.3811278343200684, 1.373509407043457, 1.3659255504608154, 1.3584818840026855, 1.351100206375122, 1.3436026573181152, 1.3364269733428955, 1.3292176723480225, 1.322265863418579, 1.315253496170044, 1.3083009719848633, 1.3014163970947266, 1.2947547435760498, 1.2879834175109863, 1.2812330722808838, 1.2745788097381592, 1.2679805755615234, 1.2614142894744873, 1.2551796436309814, 1.2487401962280273, 1.2422575950622559, 1.2359156608581543, 1.2296249866485596, 1.22340726852417, 1.217214584350586, 1.2110660076141357, 1.2046971321105957, 1.1983368396759033, 1.1921894550323486, 1.1861989498138428, 1.1802513599395752, 1.1743500232696533, 1.1684925556182861, 1.1626770496368408, 1.156907081604004, 1.151179313659668, 1.1455092430114746, 1.139868974685669, 1.1342737674713135, 1.128720760345459, 1.123213291168213, 1.1177494525909424, 1.1123898029327393, 1.1070177555084229, 1.1016864776611328, 1.0964021682739258, 1.0912139415740967, 1.086014986038208, 1.0808613300323486, 1.0757484436035156, 1.0706794261932373, 1.0656511783599854, 1.0606658458709717, 1.0557174682617188, 1.0508105754852295, 1.0460007190704346, 1.041175127029419, 1.0364251136779785, 1.0316765308380127, 1.0269134044647217, 1.0222406387329102, 1.0176048278808594, 1.0130083560943604, 1.008451223373413, 1.0039317607879639, 0.9995803236961365, 0.9951425194740295, 0.9907416701316833, 0.9863807559013367, 0.9820564389228821, 0.9777719378471375, 0.9735224843025208, 0.9693095088005066, 0.9651349186897278, 0.9609952569007874, 0.9568919539451599, 0.9528228640556335, 0.9487897753715515, 0.9447923302650452, 0.9408292174339294, 0.9369011521339417, 0.9330064654350281, 0.9291461110115051, 0.925319492816925, 0.9215268492698669, 0.9177678227424622, 0.9139975905418396, 0.9103071093559265, 0.9066495299339294, 0.9030244946479797, 0.8994317650794983, 0.8958709836006165, 0.8923414349555969, 0.8897365927696228, 0.8864020705223083, 0.8829651474952698, 0.8795598149299622, 0.8761842846870422, 0.8728379607200623, 0.8695219159126282, 0.8662371039390564, 0.8629797101020813, 0.8597521185874939, 0.8565513491630554, 0.8533803820610046, 0.8502369523048401, 0.8471201062202454, 0.844028890132904, 0.840965211391449, 0.8379626870155334, 0.8349502682685852, 0.8319651484489441, 0.8290030360221863, 0.8260653614997864, 0.8231518864631653, 0.8202618956565857, 0.8173961043357849, 0.8145530819892883, 0.81173175573349, 0.8088582158088684, 0.8060807585716248, 0.8033239245414734, 0.8006234765052795, 0.7979101538658142, 0.7952192425727844, 0.7925488352775574, 0.7898977398872375, 0.7871482968330383, 0.7845390439033508, 0.7819492220878601, 0.7793799042701721, 0.7770081162452698, 0.7744744420051575, 0.7719611525535583, 0.769467294216156, 0.7669702172279358, 0.7645354866981506, 0.7620958685874939, 0.759673535823822, 0.7559824585914612, 0.7514625191688538, 0.7490811944007874, 0.7467177510261536, 0.7443698048591614, 0.7420396208763123, 0.7397252917289734, 0.7374266982078552, 0.7351441979408264, 0.7328773140907288, 0.7306258082389832, 0.7283729910850525, 0.7261510491371155, 0.7239428162574768, 0.7217503190040588, 0.7195715308189392, 0.7174056172370911, 0.7152528166770935, 0.7131132483482361, 0.7116069197654724, 0.7094932198524475, 0.707362949848175, 0.7052766680717468, 0.7032009959220886, 0.7011378407478333, 0.6990852952003479, 0.6970457434654236, 0.6950159668922424, 0.6929979920387268, 0.6921165585517883, 0.6901182532310486, 0.6881316304206848, 0.6861531138420105, 0.6841852068901062, 0.6822262406349182, 0.6802778840065002, 0.6783396601676941, 0.6764102578163147, 0.6744909882545471, 0.6725810170173645, 0.6706810593605042, 0.6688994765281677, 0.6670188307762146, 0.6651481986045837, 0.6632868647575378, 0.661435067653656, 0.6595926880836487, 0.6577592492103577, 0.6559346318244934, 0.6541194319725037, 0.6523130536079407, 0.6505162119865417, 0.6487271189689636, 0.6469468474388123, 0.645173966884613, 0.6434107422828674, 0.6416546702384949, 0.6399067044258118, 0.6381655335426331, 0.636432945728302, 0.6347066760063171, 0.6329875588417053, 0.6312759518623352, 0.6295700669288635, 0.6278714537620544, 0.6261786818504333, 0.6245620846748352, 0.622882068157196, 0.6212080121040344, 0.6195400357246399, 0.6178779006004333, 0.6162219643592834, 0.614571750164032, 0.6129271388053894, 0.6112869381904602, 0.6101003289222717, 0.6084738373756409, 0.6068518757820129, 0.6052362322807312, 0.6036263108253479, 0.6020211577415466, 0.6004216074943542, 0.5988282561302185, 0.5972389578819275, 0.5956586003303528, 0.5940830111503601, 0.5923402905464172, 0.5907793641090393, 0.5892247557640076, 0.587677538394928, 0.585987389087677, 0.5844510197639465, 0.5829216837882996, 0.5814020037651062, 0.5798900723457336, 0.5783869624137878, 0.5768927931785583, 0.5754073262214661, 0.5739299654960632, 0.572462260723114, 0.5710633397102356, 0.5696142315864563, 0.5681751370429993, 0.5667436718940735, 0.5653483271598816, 0.5639362931251526, 0.562386691570282, 0.560993492603302, 0.5596093535423279, 0.5579164624214172, 0.5565522313117981, 0.5551956295967102, 0.5538472533226013, 0.5525084137916565, 0.551177442073822, 0.549853503704071, 0.5485374331474304, 0.5472292304039001, 0.5459287762641907, 0.5446342825889587, 0.5433482527732849, 0.5420683026313782, 0.5407949090003967, 0.5395289063453674, 0.5382694602012634, 0.5370176434516907, 0.5357709527015686, 0.5345308184623718, 0.5332974791526794, 0.5320695042610168, 0.5308460593223572, 0.5296302437782288, 0.528419554233551, 0.5269071459770203, 0.5257055163383484, 0.5245102047920227, 0.5233201384544373, 0.5221372246742249, 0.5209587216377258, 0.519786536693573, 0.518619954586029, 0.5174588561058044, 0.516304075717926, 0.5151539444923401, 0.5140107274055481], forces=[(0.008094611577689648, -0.002460006857290864, -0.005152012687176466), (0.0032391506247222424, -0.0031916082371026278, 0.009444942697882652), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012244576588273048, -0.00299141020514071, 0.00024739388027228415), (0.009688666090369225, -0.0001676149113336578, -0.003585232188925147), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006778294686228037, -0.0010338106658309698, -0.010310925543308258), (0.007669710088521242, -0.004693544004112482, -0.004481112584471703), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014503827318549156, 0.011048778891563416, 0.00954100675880909), (-0.00014110785559751093, 0.0031180819496512413, -0.0015339427627623081), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011739473789930344, -0.006697237957268953, 0.004884821362793446), (0.012388158589601517, -0.0019064382649958134, 0.0025617037899792194), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007193341385573149, 0.0004437485767994076, -0.007680900860577822), (0.0114328907802701, 7.073023152770475e-05, -0.0005246661603450775), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007997322827577591, 0.005431120749562979, 0.003133499063551426), (-0.017896737903356552, 0.03228205814957619, 0.050186727195978165), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01789279840886593, 0.0030025166925042868, -0.006573840510100126), (0.011250466108322144, -0.0032315657008439302, 0.0033936931286007166), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002124970080330968, 0.0004977480275556445, -0.010947145521640778), (0.0105130011215806, 0.015702245756983757, 0.0035806286614388227), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.1742895245552063, 0.032421644777059555, -0.02484969235956669), (-0.29392701387405396, 0.02118675783276558, -0.125340536236763)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=18, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.7965404987335205, 0.026362262666225433, 16.956743240356445), (1.4198261499404907, 1.5469844341278076, 19.14529037475586), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7833821773529053, 2.7940709590911865, 16.968706130981445), (1.403761386871338, 4.288410663604736, 18.855552673339844), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.822453737258911, 5.643727779388428, 16.900508880615234), (1.4106171131134033, 7.049191474914551, 18.837072372436523), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.639102935791016, 0.0016389903612434864, 16.905086517333984), (4.250927925109863, 1.4153211116790771, 18.852170944213867), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.633825302124023, 2.825225591659546, 16.90195655822754), (4.240542411804199, 4.24629020690918, 18.843442916870117), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.640268802642822, 5.64419412612915, 16.896394729614258), (4.237273693084717, 7.046131610870361, 18.83926010131836), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.4890775680542, 0.03360309824347496, 16.95916175842285), (7.025729656219482, 1.4230144023895264, 18.843429565429688), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.480047225952148, 2.807542085647583, 16.949588775634766), (7.038120746612549, 4.248683929443359, 18.841880798339844), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.460074424743652, 5.648603439331055, 16.90073585510254), (7.045125961303711, 7.05086088180542, 18.8364315032959), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.3008172512054443, 1.3112661838531494, 21.112857818603516), (0.8729724884033203, 2.1077077388763428, 21.49375343322754)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.871809184551239, energy_trajectory=[1.2846992015838623, 1.2746357917785645, 1.265517234802246, 1.2563714981079102, 1.2475430965423584, 1.2388274669647217, 1.2301678657531738, 1.2212481498718262, 1.2126760482788086, 1.2043213844299316, 1.195840835571289, 1.18748140335083, 1.1792151927947998, 1.169663667678833, 1.1613130569458008, 1.1531548500061035, 1.145233392715454, 1.1373224258422852, 1.1294951438903809, 1.1217682361602783, 1.1147966384887695, 1.1075739860534668, 1.1005496978759766, 1.093768835067749, 1.0871927738189697, 1.0808062553405762, 1.0745928287506104, 1.0685029029846191, 1.0627365112304688, 1.057004451751709, 1.0514228343963623, 1.0459809303283691, 1.0407445430755615, 1.0355539321899414, 1.0304205417633057, 1.0255072116851807, 1.0207185745239258, 1.0160574913024902, 1.011645793914795, 1.0071465969085693, 1.002859115600586, 0.9987463355064392, 0.9946947693824768, 0.9907210469245911, 0.9868869185447693, 0.9831411242485046, 0.9795579314231873, 0.9760885834693909, 0.9727309346199036, 0.9693110585212708, 0.96612948179245, 0.9631126523017883, 0.9602017998695374, 0.9573996663093567, 0.9547064900398254, 0.9521188139915466, 0.9496318697929382, 0.9472588896751404, 0.9449781775474548, 0.9428027272224426, 0.9407266974449158, 0.938751757144928, 0.9368770718574524, 0.935103714466095, 0.9334267973899841, 0.9320259690284729, 0.9305444359779358, 0.9292989373207092, 0.92801433801651, 0.9268280863761902, 0.9257034659385681, 0.9246601462364197, 0.9236801266670227, 0.9227592349052429, 0.9218209385871887, 0.9209993481636047, 0.9202155470848083, 0.9194671511650085, 0.918745219707489, 0.9180462956428528, 0.9173653721809387, 0.9167025685310364, 0.9160528779029846, 0.9155226349830627, 0.9151768088340759, 0.9145656228065491, 0.9139677882194519, 0.913384735584259, 0.912820041179657, 0.9122764468193054, 0.911756694316864, 0.911267101764679, 0.910810649394989, 0.9103878140449524, 0.909944474697113, 0.9095949530601501, 0.9092810750007629, 0.9090048670768738, 0.9087666869163513, 0.908561646938324, 0.9083893895149231, 0.9082488417625427, 0.9081338047981262, 0.9080449938774109, 0.9079793095588684, 0.9079172015190125, 0.9078901410102844, 0.9078812003135681, 0.9078447222709656, 0.907863438129425, 0.9078940749168396, 0.9079393744468689, 0.9079936146736145, 0.9080607295036316, 0.9081307053565979, 0.9082074761390686, 0.9082362055778503, 0.9084696173667908, 0.9085630774497986, 0.9086604714393616, 0.9087609648704529, 0.9088638424873352, 0.9089692234992981, 0.9090750813484192, 0.9091833233833313, 0.9092894196510315, 0.9093967080116272, 0.9095038771629333, 0.9096085429191589, 0.9095502495765686, 0.9096526503562927, 0.909753143787384, 0.909852921962738, 0.9099492430686951, 0.9100434184074402, 0.9101327061653137, 0.9102205634117126, 0.9103025794029236, 0.9103824496269226, 0.910457193851471, 0.9105271697044373, 0.9105938076972961, 0.9106552004814148, 0.9108039736747742, 0.9108532071113586, 0.9108948111534119, 0.9109329581260681, 0.9109639525413513, 0.911162793636322, 0.9111806750297546, 0.9111897349357605, 0.9110011458396912, 0.9109945893287659, 0.9109712243080139, 0.9109484553337097, 0.910916268825531, 0.9108741879463196, 0.9108222126960754, 0.9107607007026672, 0.9106391072273254, 0.9105542302131653, 0.9104593396186829, 0.9102997183799744, 0.9101837277412415, 0.9100560545921326, 0.9099195599555969, 0.909731924533844, 0.9095703959465027, 0.9093990921974182, 0.9087181687355042, 0.9085279107093811, 0.9083248972892761, 0.9081149697303772, 0.907895028591156, 0.9076662659645081, 0.9074285626411438, 0.9071834683418274, 0.9069297909736633, 0.9066687226295471, 0.9060211777687073, 0.9057465195655823, 0.9054651856422424, 0.9051076769828796, 0.9048100113868713, 0.9046126008033752, 0.9043036103248596, 0.9041498303413391, 0.9038305878639221, 0.9035044312477112, 0.9031707644462585, 0.902833878993988, 0.902492105960846, 0.9021444916725159, 0.9017922282218933, 0.9014378190040588, 0.9010784029960632, 0.900716245174408, 0.9003520607948303, 0.899886429309845, 0.8995385766029358, 0.8991637825965881, 0.8987893462181091, 0.898411214351654, 0.8980327248573303, 0.8976522088050842, 0.8972707390785217, 0.8968880772590637, 0.8965045809745789, 0.8961202502250671, 0.8960360884666443, 0.8956541419029236, 0.895296037197113, 0.8949143290519714, 0.8945325016975403, 0.8941507935523987, 0.8937690854072571, 0.8924530148506165, 0.8915473818778992, 0.89117032289505, 0.8907924294471741, 0.8904158473014832, 0.8900405764579773, 0.8896662592887878, 0.8892920613288879, 0.8889203667640686, 0.8885486721992493, 0.8881768584251404, 0.8878081440925598, 0.8874425292015076, 0.8870765566825867, 0.8864628672599792, 0.8861011862754822, 0.885742723941803, 0.8853868842124939, 0.8850927948951721, 0.8847433924674988, 0.8843985199928284, 0.8840551972389221, 0.8837154507637024, 0.8833780884742737, 0.8830437064170837, 0.8827119469642639, 0.8823842406272888, 0.8820584416389465, 0.8817899823188782, 0.8814722895622253, 0.8811556696891785, 0.8808433413505554, 0.8805335164070129, 0.8802282214164734, 0.8799276947975159, 0.8796301484107971, 0.8793393969535828, 0.8790510296821594, 0.8787686228752136, 0.8784902691841125, 0.8782191872596741, 0.8779516816139221, 0.8776889443397522, 0.8774335980415344, 0.8771830201148987, 0.876937210559845, 0.8766966462135315, 0.8761982321739197, 0.8760282397270203, 0.8758040070533752, 0.8755856156349182, 0.8753705620765686, 0.8751633763313293, 0.8749585747718811, 0.8747603297233582, 0.8745672106742859, 0.8743775486946106, 0.8741924166679382, 0.874014675617218, 0.8738378882408142, 0.8736675381660461, 0.8734995722770691, 0.8733285069465637, 0.8731672167778015, 0.8730115294456482, 0.8728575110435486, 0.8728522658348083, 0.8727050423622131, 0.8725621104240417, 0.8723894953727722, 0.8734177947044373, 0.8732811808586121, 0.8731482625007629, 0.8730180859565735, 0.8728899359703064, 0.8727665543556213, 0.8726466298103333, 0.8725294470787048, 0.8724135756492615, 0.8723028302192688, 0.8721951842308044, 0.8720903992652893, 0.8719876408576965, 0.871809184551239], forces=[(0.007543932180851698, -0.0030492788646370173, -0.00033001648262143135), (-0.013273564167320728, -0.0664055272936821, -0.050808027386665344), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00810686219483614, 0.007379376795142889, -0.003934110980480909), (-0.0005877746734768152, -0.019681567326188087, 0.009560049511492252), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0007815020508132875, 0.002655930817127228, 0.014884698204696178), (0.0004651397466659546, 0.0016196641372516751, 0.019814549013972282), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0026003357488662004, 0.0015220122877508402, 0.01155695877969265), (0.0006909095100127161, 0.004983410704880953, 0.010975131765007973), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002872015116736293, 0.005505505949258804, 0.01226111315190792), (-0.002658676356077194, 0.004545440431684256, 0.02077258937060833), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.000538348569534719, 0.0036537465639412403, 0.02021881192922592), (0.0004290194483473897, 0.008098949678242207, 0.026326531544327736), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0026523692067712545, -0.0009408981422893703, 0.00637876195833087), (0.00404881127178669, 0.006291968282312155, 0.015948714688420296), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006308735813945532, 0.008204479701817036, -0.003694346873089671), (0.004634736571460962, 0.005184026900678873, 0.02434297278523445), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002232959959656, 0.0036276918835937977, 0.01661423034965992), (0.00044462704681791365, 0.007475186139345169, 0.026308396831154823), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.018119746819138527, -0.010166961699724197, -0.058838967233896255), (0.022805271670222282, -0.016758279874920845, -0.0910787582397461)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=19, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.7878997325897217, 0.02983773499727249, 16.954622268676758), (1.4147937297821045, 1.336796522140503, 19.073091506958008), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8047757148742676, 2.8117570877075195, 16.935819625854492), (1.4118914604187012, 4.259313583374023, 18.82990074157715), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.821560859680176, 5.649624347686768, 16.898698806762695), (1.4012211561203003, 7.016972064971924, 18.849353790283203), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.635047912597656, -0.0027689021080732346, 16.900888442993164), (4.242247581481934, 1.4156407117843628, 18.839147567749023), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.640183448791504, 2.8241806030273438, 16.903690338134766), (4.233509540557861, 4.24226188659668, 18.840532302856445), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.637936592102051, 5.644009590148926, 16.898466110229492), (4.233506679534912, 7.045673847198486, 18.841524124145508), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.478075981140137, 0.020646721124649048, 16.94620132446289), (7.019278526306152, 1.4051754474639893, 18.838275909423828), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.483688354492188, 2.7978861331939697, 16.951221466064453), (7.04141902923584, 4.240281581878662, 18.836658477783203), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.456087112426758, 5.645133972167969, 16.900053024291992), (7.033638000488281, 7.044119358062744, 18.84197425842285), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.3556790351867676, 1.6405798196792603, 21.032087326049805), (2.06510853767395, 2.2791225910186768, 21.255538940429688)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8626824021339417, energy_trajectory=[1.2334318161010742, 1.2214856147766113, 1.212132215499878, 1.202871322631836, 1.1942992210388184, 1.18562912940979, 1.1771869659423828, 1.1687324047088623, 1.1603167057037354, 1.1522095203399658, 1.1440441608428955, 1.1359858512878418, 1.1279098987579346, 1.1202006340026855, 1.112459421157837, 1.1046247482299805, 1.0969276428222656, 1.0895626544952393, 1.0823915004730225, 1.0754883289337158, 1.068826675415039, 1.0623900890350342, 1.0562055110931396, 1.0499694347381592, 1.0441124439239502, 1.038511037826538, 1.0329599380493164, 1.0276572704315186, 1.0222752094268799, 1.0172255039215088, 1.0123181343078613, 1.007549524307251, 1.0027148723602295, 0.9981145262718201, 0.993756115436554, 0.9893633723258972, 0.9852864146232605, 0.9812987446784973, 0.9774574637413025, 0.9737477898597717, 0.9702742695808411, 0.9669925570487976, 0.9644226431846619, 0.9610424637794495, 0.9579761624336243, 0.9534438252449036, 0.950775682926178, 0.9484122395515442, 0.9460930228233337, 0.9439370036125183, 0.9419112801551819, 0.9400741457939148, 0.9384903311729431, 0.9369201064109802, 0.93547123670578, 0.934132993221283, 0.9328921437263489, 0.9317408204078674, 0.9307087063789368, 0.9297031760215759, 0.928751528263092, 0.9278993010520935, 0.9270387291908264, 0.9262154698371887, 0.9254284501075745, 0.9246721863746643, 0.9239451289176941, 0.9232500195503235, 0.9226321578025818, 0.9220010638237, 0.921420156955719, 0.9208582043647766, 0.9197662472724915, 0.9192790389060974, 0.918830931186676, 0.9184228777885437, 0.9180551171302795, 0.9171594977378845, 0.9168772101402283, 0.9166132807731628, 0.9163833260536194, 0.916182816028595, 0.9160107970237732, 0.9158650040626526, 0.9157412648200989, 0.9155364632606506, 0.9154724478721619, 0.9153994917869568, 0.9153407216072083, 0.915290892124176, 0.9152513146400452, 0.9152176976203918, 0.9151901602745056, 0.9151659607887268, 0.9151431918144226, 0.9151232838630676, 0.9151039719581604, 0.9150826334953308, 0.9149361252784729, 0.9149126410484314, 0.9148853421211243, 0.9148553013801575, 0.9148191809654236, 0.9147797226905823, 0.9147332310676575, 0.9146812558174133, 0.914622962474823, 0.9145600199699402, 0.9144898056983948, 0.9144136309623718, 0.9143325686454773, 0.9142456650733948, 0.9141528010368347, 0.9140554070472717, 0.913952648639679, 0.9138441681861877, 0.9137315154075623, 0.913614809513092, 0.9134925007820129, 0.913366973400116, 0.9132351279258728, 0.9130995869636536, 0.912959635257721, 0.912814199924469, 0.9126647114753723, 0.912510097026825, 0.9123501181602478, 0.9121858477592468, 0.9120143055915833, 0.9118393063545227, 0.9116581082344055, 0.9114708304405212, 0.9112797379493713, 0.9110836386680603, 0.9108805060386658, 0.9106737971305847, 0.9104600548744202, 0.9101718068122864, 0.9099474549293518, 0.9097166657447815, 0.909480631351471, 0.9092393517494202, 0.9089929461479187, 0.908741295337677, 0.9084833264350891, 0.9082205891609192, 0.9079530835151672, 0.9076787829399109, 0.9073987603187561, 0.9071130156517029, 0.9068209528923035, 0.9065226912498474, 0.9062168002128601, 0.9059067368507385, 0.9055898785591125, 0.9052665829658508, 0.9049376845359802, 0.9046007990837097, 0.9042602181434631, 0.9038183093070984, 0.9034664034843445, 0.9031098484992981, 0.9027456641197205, 0.9023775458335876, 0.9020044207572937, 0.90162593126297, 0.9012433886528015, 0.9008557200431824, 0.9004634022712708, 0.9000669121742249, 0.8996668457984924, 0.8992626070976257, 0.8988533616065979, 0.8984412550926208, 0.8981967568397522, 0.8977327942848206, 0.8973111510276794, 0.89688640832901, 0.8964604735374451, 0.8960309624671936, 0.8955993056297302, 0.8951653838157654, 0.8946376442909241, 0.8939409852027893, 0.8935012221336365, 0.8930631279945374, 0.8926237225532532, 0.8921837210655212, 0.8917432427406311, 0.891304075717926, 0.8908640742301941, 0.8904257416725159, 0.889985978603363, 0.8895469307899475, 0.8891096711158752, 0.8886736035346985, 0.8882383704185486, 0.8878044486045837, 0.8873737454414368, 0.8869429230690002, 0.8865154385566711, 0.8860886693000793, 0.8856642842292786, 0.8852422833442688, 0.88482266664505, 0.8844056725502014, 0.8839917778968811, 0.8835785984992981, 0.8831700682640076, 0.8827640414237976, 0.882358968257904, 0.8819583058357239, 0.881560742855072, 0.8811672329902649, 0.8807756304740906, 0.8803896307945251, 0.8800063729286194, 0.8797548413276672, 0.8793759942054749, 0.8790021538734436, 0.8786320090293884, 0.8782677054405212, 0.8779069781303406, 0.8775501847267151, 0.8771968483924866, 0.8768476843833923, 0.8765016198158264, 0.8761617541313171, 0.8758249878883362, 0.8754921555519104, 0.8751633763313293, 0.8748401999473572, 0.8745197653770447, 0.8742900490760803, 0.8739801049232483, 0.8736745715141296, 0.8733695149421692, 0.8730689883232117, 0.8727738261222839, 0.8724794983863831, 0.8721897006034851, 0.8719028830528259, 0.8716177344322205, 0.8713354468345642, 0.8710574507713318, 0.8707812428474426, 0.8705081343650818, 0.8702376484870911, 0.8699708580970764, 0.8697063326835632, 0.8694433569908142, 0.8691834807395935, 0.8689298033714294, 0.8686770796775818, 0.8684249520301819, 0.8681793808937073, 0.8679361939430237, 0.8676952719688416, 0.8674586415290833, 0.8672251105308533, 0.866994321346283, 0.866767942905426, 0.8665433526039124, 0.8663240075111389, 0.8661056160926819, 0.8658921122550964, 0.8656825423240662, 0.865476667881012, 0.8652731776237488, 0.8648530840873718, 0.8646596074104309, 0.8644687533378601, 0.8642818331718445, 0.8640990853309631, 0.8639211058616638, 0.8637456297874451, 0.8635762333869934, 0.8634093403816223, 0.8664204478263855, 0.8662527203559875, 0.8660913109779358, 0.8659345507621765, 0.8657829165458679, 0.8656397461891174, 0.8654963374137878, 0.8653303980827332, 0.8651955723762512, 0.8650606274604797, 0.864933431148529, 0.8648088574409485, 0.8646867871284485, 0.8645673394203186, 0.8644525408744812, 0.8643411993980408, 0.8632238507270813, 0.8631091713905334, 0.862997829914093, 0.8628904223442078, 0.8627844452857971, 0.8626824021339417], forces=[(0.0017532428028061986, -0.0018212528666481376, 0.0031418101862072945), (-0.0015287025598809123, 0.024013811722397804, 0.0030937991105020046), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001399693894200027, -0.0007866572123020887, 0.003404988208785653), (0.0013935405295342207, -0.004023246467113495, 0.009884271770715714), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0011755692539736629, -0.0016861815238371491, 0.0061368802562355995), (0.001941495225764811, 0.0037926658987998962, 0.006275292485952377), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0010001662885770202, -0.002133091911673546, 0.005111632868647575), (0.0007027627434581518, -0.0027877185493707657, 0.007148503325879574), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0007553346222266555, -0.0007994231418706477, 0.004856089595705271), (0.001021533738821745, -0.003597476752474904, 0.012495586648583412), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0005412959144450724, -0.0017931797774508595, 0.007493304554373026), (0.0013603626284748316, -0.0022794101387262344, 0.010973013006150723), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0005107405595481396, -0.0015621389029547572, 0.0035562689881771803), (0.0030313327442854643, -0.001155366189777851, 0.009103148244321346), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0006148912943899632, -0.0005803088424727321, 0.0035241839941591024), (0.0011644115438684821, -0.002694327849894762, 0.012528389692306519), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (5.958817564533092e-05, -0.0016110605793073773, 0.0057722958736121655), (0.0028572611045092344, -0.002466467907652259, 0.011949803680181503), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009224969893693924, -0.009288052096962929, 4.7740926675032824e-05), (0.005840401630848646, -0.015983056277036667, -0.000917419558390975)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=20, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8435564041137695, -0.01667717844247818, 16.959247589111328), (1.3881479501724243, 1.4075371026992798, 18.842382431030273), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.829728603363037, 2.7996017932891846, 16.922542572021484), (1.3930156230926514, 4.212687015533447, 18.841495513916016), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.844027280807495, 5.649311065673828, 16.93939971923828), (1.3864589929580688, 7.031315803527832, 18.836950302124023), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.612977504730225, -0.018656061962246895, 16.9666690826416), (4.212154865264893, 1.4357553720474243, 18.970855712890625), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.627063751220703, 2.797569513320923, 16.9245662689209), (4.22931432723999, 4.159500598907471, 18.87554359436035), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.624345779418945, 5.6425461769104, 16.936519622802734), (4.182612419128418, 6.833800792694092, 19.022428512573242), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.4613037109375, -0.00364307826384902, 16.902359008789062), (7.066488265991211, 1.4090756177902222, 18.836999893188477), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.461037635803223, 2.818591356277466, 16.89360237121582), (7.0633368492126465, 4.212658882141113, 18.841066360473633), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.46503734588623, 5.628419399261475, 16.890710830688477), (7.082666397094727, 7.02543306350708, 18.82522964477539), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.392674446105957, 8.013068199157715, 20.66852569580078), (3.586378574371338, 7.864287376403809, 21.21238899230957)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.6883969902992249, energy_trajectory=[1.3850419521331787, 1.3711869716644287, 1.361537218093872, 1.352144718170166, 1.3430967330932617, 1.3344886302947998, 1.3268508911132812, 1.3187429904937744, 1.3105864524841309, 1.302800178527832, 1.295097827911377, 1.2877018451690674, 1.2801463603973389, 1.2729473114013672, 1.265873908996582, 1.2586982250213623, 1.2517714500427246, 1.2448701858520508, 1.2381086349487305, 1.231706142425537, 1.2252869606018066, 1.2190232276916504, 1.2126986980438232, 1.2062652111053467, 1.200204610824585, 1.1939122676849365, 1.1879732608795166, 1.1821317672729492, 1.1765251159667969, 1.1715550422668457, 1.1659958362579346, 1.160581111907959, 1.155205249786377, 1.1499285697937012, 1.1447386741638184, 1.1398918628692627, 1.1347951889038086, 1.1298813819885254, 1.1250762939453125, 1.1203100681304932, 1.1158041954040527, 1.1112370491027832, 1.1067531108856201, 1.102351427078247, 1.0982110500335693, 1.0939805507659912, 1.0892384052276611, 1.0851430892944336, 1.0811488628387451, 1.077246904373169, 1.0734000205993652, 1.06961989402771, 1.0659089088439941, 1.0622646808624268, 1.0586848258972168, 1.055166482925415, 1.051711082458496, 1.0481376647949219, 1.0447940826416016, 1.0415089130401611, 1.0382792949676514, 1.035102128982544, 1.0319766998291016, 1.0289018154144287, 1.0258750915527344, 1.022895336151123, 1.019960880279541, 1.0170705318450928, 1.0142223834991455, 1.0114123821258545, 1.008702039718628, 1.0059752464294434, 1.003251552581787, 1.00057053565979, 0.9978112578392029, 0.9951377511024475, 0.9925755858421326, 0.9900415539741516, 0.9875355362892151, 0.9850553870201111, 0.9826037287712097, 0.9801761507987976, 0.9777728915214539, 0.9753928780555725, 0.9730363488197327, 0.970478355884552, 0.967385470867157, 0.9650890231132507, 0.9628124833106995, 0.9607465863227844, 0.9585081934928894, 0.956288754940033, 0.9540858864784241, 0.9519003033638, 0.9498855471611023, 0.947731077671051, 0.9456328749656677, 0.9435078501701355, 0.9413956999778748, 0.9392964243888855, 0.9372095465660095, 0.935075581073761, 0.9330138564109802, 0.9309642910957336, 0.9289231896400452, 0.9271048903465271, 0.9250832200050354, 0.9230700135231018, 0.9210649132728577, 0.9190682768821716, 0.9170765280723572, 0.9150927662849426, 0.9131143689155579, 0.9111426472663879, 0.9080851674079895, 0.9061247706413269, 0.9042511582374573, 0.9023030400276184, 0.900367796421051, 0.8984581828117371, 0.8965843319892883, 0.8947215676307678, 0.8928820490837097, 0.8910142779350281, 0.8892199397087097, 0.8874487280845642, 0.8856993317604065, 0.8839707970619202, 0.8822636008262634, 0.8805788159370422, 0.8789140582084656, 0.8772695660591125, 0.8756452202796936, 0.8739621043205261, 0.8723776936531067, 0.8708124756813049, 0.8692647814750671, 0.867737352848053, 0.8663981556892395, 0.8649070858955383, 0.8633891940116882, 0.8619338870048523, 0.8604869246482849, 0.8590644001960754, 0.8576574921607971, 0.8562671542167664, 0.8548452258110046, 0.8534871935844421, 0.8518001437187195, 0.850469172000885, 0.8491541743278503, 0.8478537201881409, 0.8463547825813293, 0.8450835347175598, 0.84382563829422, 0.8425810933113098, 0.8413504958152771, 0.8401338458061218, 0.8387086987495422, 0.8375170826911926, 0.8363191485404968, 0.8351559042930603, 0.833936870098114, 0.832798182964325, 0.8316698670387268, 0.8305531144142151, 0.8294468522071838, 0.828382670879364, 0.8272966742515564, 0.8262216448783875, 0.8251561522483826, 0.8240999579429626, 0.8230529427528381, 0.8220153450965881, 0.820985734462738, 0.8199641108512878, 0.8189519047737122, 0.8179464936256409, 0.8169479966163635, 0.8159573674201965, 0.8152027726173401, 0.8142295479774475, 0.8132595419883728, 0.8122963309288025, 0.8113393187522888, 0.8103874325752258, 0.8094416260719299, 0.808589518070221, 0.8076565861701965, 0.8067283034324646, 0.8058050274848938, 0.804887592792511, 0.8039737343788147, 0.8030638098716736, 0.8021591305732727, 0.8012577891349792, 0.8003608584403992, 0.799467146396637, 0.7985768914222717, 0.7976890206336975, 0.7960912585258484, 0.7952112555503845, 0.7942481637001038, 0.7933050990104675, 0.7924268841743469, 0.7915520071983337, 0.7906786799430847, 0.7898058295249939, 0.7889297604560852, 0.7880584597587585, 0.7871856093406677, 0.7863121628761292, 0.7854380011558533, 0.7845614552497864, 0.7836839556694031, 0.782803475856781, 0.7817712426185608, 0.7785109877586365, 0.7776225209236145, 0.7768687605857849, 0.7759734988212585, 0.7750760912895203, 0.7745779156684875, 0.7736757397651672, 0.772769033908844, 0.7718586325645447, 0.7709447741508484, 0.7699803709983826, 0.7690576910972595, 0.7681323885917664, 0.7672014832496643, 0.7662666440010071, 0.7653267979621887, 0.764381468296051, 0.7634326815605164, 0.7624804377555847, 0.7615224719047546, 0.7605604529380798, 0.759593665599823, 0.7585501074790955, 0.7571621537208557, 0.7561818957328796, 0.7551121115684509, 0.754124104976654, 0.7531313300132751, 0.7521345019340515, 0.7511029839515686, 0.7500945925712585, 0.7490809559822083, 0.7480631470680237, 0.7470386624336243, 0.7460088133811951, 0.7449731230735779, 0.7439313530921936, 0.7428820729255676, 0.7418254017829895, 0.7407618165016174, 0.7396901249885559, 0.7400782704353333, 0.7389989495277405, 0.7379122376441956, 0.7368171811103821, 0.7357137799263, 0.7346023917198181, 0.7334825396537781, 0.7323532700538635, 0.7312158942222595, 0.7300696969032288, 0.7289149165153503, 0.7274826169013977, 0.7263113856315613, 0.7251309752464294, 0.72394198179245, 0.7227429747581482, 0.7215360999107361, 0.7202571034431458, 0.7190329432487488, 0.7178005576133728, 0.7165598273277283, 0.7153094410896301, 0.7140514254570007, 0.7127843499183655, 0.7114110589027405, 0.7101259827613831, 0.7088330388069153, 0.7075307965278625, 0.7062204480171204, 0.7049008011817932, 0.7035722136497498, 0.7022344470024109, 0.7008882164955139, 0.6995334029197693, 0.6981695294380188, 0.696797788143158, 0.6954168677330017, 0.6940283179283142, 0.6926314234733582, 0.6912274956703186, 0.6898155808448792, 0.6883969902992249], forces=[(-0.004963410086929798, -0.008886219002306461, 0.003925297409296036), (0.005099250935018063, -0.016114478930830956, 0.0336846299469471), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011424217373132706, -0.025726526975631714, 0.033385373651981354), (0.003414516570046544, -0.006440425291657448, 0.024346426129341125), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003158265259116888, -0.023458771407604218, 0.00882873684167862), (0.005132796708494425, -0.005192419048398733, 0.03494749963283539), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002967570908367634, -0.011620069853961468, -0.0004967507557012141), (-0.0008775887545198202, -0.07212354242801666, 0.09056427329778671), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004498397000133991, -0.023279542103409767, 0.02609878219664097), (0.003375354688614607, -0.02238244004547596, 0.026409611105918884), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007220289204269648, -0.024687226861715317, -0.0006864801980555058), (0.006363148335367441, 0.01567261479794979, -0.029168054461479187), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002566348761320114, -0.006091101095080376, 0.015312948264181614), (-0.00013535402831621468, -0.014180831611156464, 0.028471307829022408), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004606124013662338, -0.006128394510596991, 0.01459980383515358), (-0.0022898244205862284, -0.007300731725990772, 0.026393186300992966), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0026505612768232822, -0.0024694870226085186, 0.015000453218817711), (-0.006279026158154011, -0.013232489116489887, 0.028402451425790787), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0748649388551712, 0.2653602659702301, -0.1345590502023697), (0.03235248103737831, 0.20265737175941467, -0.13887594640254974)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=21, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.823753595352173, -0.01331784762442112, 16.923494338989258), (1.378269076347351, 1.4052708148956299, 18.83655548095703), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.824195623397827, 2.8250417709350586, 16.925640106201172), (1.364633560180664, 4.206906318664551, 18.815824508666992), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8419065475463867, 5.6366167068481445, 16.96420669555664), (1.365049123764038, 7.0678510665893555, 18.81516456604004), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.6135406494140625, -0.015838447958230972, 16.936344146728516), (4.204280853271484, 1.403357744216919, 18.87529945373535), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.612205505371094, 2.8267862796783447, 16.938495635986328), (4.253790378570557, 4.08754301071167, 18.9893856048584), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.612273693084717, 5.636819362640381, 16.952621459960938), (4.258849143981934, 7.187405109405518, 18.98299789428711), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.446940422058105, 0.003365412587299943, 16.88467025756836), (7.057352066040039, 1.40190589427948, 18.842145919799805), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.447208404541016, 2.810368537902832, 16.885032653808594), (7.06245231628418, 4.217347145080566, 18.840312957763672), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.45292854309082, 5.638485908508301, 16.89677619934082), (7.064085483551025, 7.0512237548828125, 18.840547561645508), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.0666937828063965, 5.650343418121338, 20.426027297973633), (4.8740034103393555, 5.628979206085205, 20.980867385864258)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.43004924058914185, energy_trajectory=[1.1169133186340332, 1.103320598602295, 1.09169340133667, 1.0809834003448486, 1.071021318435669, 1.0617079734802246, 1.0529227256774902, 1.0446276664733887, 1.0367367267608643, 1.0295438766479492, 1.02223801612854, 1.0153594017028809, 1.008559226989746, 1.0018558502197266, 0.9951642155647278, 0.9889325499534607, 0.9829874634742737, 0.9769540429115295, 0.9711251854896545, 0.9654324650764465, 0.9597577452659607, 0.954501211643219, 0.9490386843681335, 0.9436538815498352, 0.9383410811424255, 0.9330942034721375, 0.9279130101203918, 0.922787606716156, 0.9177222847938538, 0.9127021431922913, 0.907731831073761, 0.9028112292289734, 0.8978034853935242, 0.8930174708366394, 0.8882291913032532, 0.883485734462738, 0.87876957654953, 0.8741996884346008, 0.8695554137229919, 0.8649140000343323, 0.860317051410675, 0.855766236782074, 0.8510107398033142, 0.8465239405632019, 0.8420632481575012, 0.8376284241676331, 0.833219587802887, 0.8288385272026062, 0.8244820237159729, 0.8201491236686707, 0.8157607913017273, 0.8114801049232483, 0.8072248101234436, 0.8029939532279968, 0.7987866997718811, 0.7945038676261902, 0.7903478741645813, 0.7862153649330139, 0.7821071743965149, 0.7779143452644348, 0.773887574672699, 0.7698538899421692, 0.7658438086509705, 0.7618027329444885, 0.7579512000083923, 0.7540163397789001, 0.750106155872345, 0.7462189793586731, 0.7423539757728577, 0.7385116219520569, 0.7346901297569275, 0.7308933138847351, 0.7271196246147156, 0.7233689427375793, 0.7196404337882996, 0.7162459492683411, 0.7125619053840637, 0.7089012265205383, 0.7052635550498962, 0.7016529440879822, 0.6980631947517395, 0.6945019364356995, 0.6909658312797546, 0.687454879283905, 0.6839738488197327, 0.6805152297019958, 0.6770864129066467, 0.6736851334571838, 0.6703119874000549, 0.6669668555259705, 0.6636504530906677, 0.6603613495826721, 0.6571243405342102, 0.6538918614387512, 0.6506900191307068, 0.6475191712379456, 0.6443774104118347, 0.6412692666053772, 0.6381897330284119, 0.635142982006073, 0.6321268677711487, 0.6291410326957703, 0.626185953617096, 0.6232631802558899, 0.6203232407569885, 0.6174632906913757, 0.6146332621574402, 0.611854612827301, 0.6090852618217468, 0.6065122485160828, 0.6038051247596741, 0.6011281609535217, 0.5984804034233093, 0.595863401889801, 0.5932778716087341, 0.590852677822113, 0.5883265137672424, 0.5858557820320129, 0.5833874344825745, 0.5809463858604431, 0.5785362124443054, 0.5761567950248718, 0.5739352107048035, 0.571456253528595, 0.5691609978675842, 0.5668944716453552, 0.564659059047699, 0.5624492764472961, 0.5601595044136047, 0.558006227016449, 0.5558820366859436, 0.5537860989570618, 0.5517193675041199, 0.5495708584785461, 0.5475936532020569, 0.5456058382987976, 0.5436472296714783, 0.5417166352272034, 0.5399509072303772, 0.5380793213844299, 0.5362374186515808, 0.5344240069389343, 0.5326382517814636, 0.5303282141685486, 0.5286096930503845, 0.5269612669944763, 0.5252977013587952, 0.5236613154411316, 0.5220515131950378, 0.5204682946205139, 0.5189122557640076, 0.5173818469047546, 0.5160240530967712, 0.5147858262062073, 0.5132594704627991, 0.5118260979652405, 0.5104174017906189, 0.5090295672416687, 0.5076660513877869, 0.5063229203224182, 0.5050023198127747, 0.5037012696266174, 0.5024213194847107, 0.5011712908744812, 0.49995988607406616, 0.49886542558670044, 0.49771660566329956, 0.49683648347854614, 0.49574965238571167, 0.49460870027542114, 0.49426978826522827, 0.49326425790786743, 0.49227994680404663, 0.4913182854652405, 0.4903784394264221, 0.48892730474472046, 0.48811811208724976, 0.48723822832107544, 0.48637741804122925, 0.4855327010154724, 0.4847046732902527, 0.483894407749176, 0.48309844732284546, 0.4823179841041565, 0.48155277967453003, 0.48069673776626587, 0.4799569249153137, 0.4792317748069763, 0.47851890325546265, 0.47781914472579956, 0.4771116375923157, 0.4764365553855896, 0.4757714867591858, 0.47511738538742065, 0.47358113527297974, 0.472947895526886, 0.47232359647750854, 0.4717097878456116, 0.4711053967475891, 0.4705114960670471, 0.46992772817611694, 0.46935218572616577, 0.46878570318222046, 0.46822768449783325, 0.46767908334732056, 0.4671371579170227, 0.4666031002998352, 0.4660777449607849, 0.46555930376052856, 0.46504706144332886, 0.4645431637763977, 0.4640466570854187, 0.4635539650917053, 0.4630700945854187, 0.46259182691574097, 0.4621191620826721, 0.4616531729698181, 0.4602826237678528, 0.45982807874679565, 0.459378182888031, 0.45893388986587524, 0.4584953188896179, 0.45799118280410767, 0.4575619101524353, 0.4571368098258972, 0.45671457052230835, 0.45629578828811646, 0.45588189363479614, 0.45547086000442505, 0.4550626873970032, 0.4546576142311096, 0.45425480604171753, 0.45385581254959106, 0.4534587264060974, 0.45295876264572144, 0.4525666832923889, 0.4521788954734802, 0.45179110765457153, 0.45140546560287476, 0.45102185010910034, 0.45064038038253784, 0.45026010274887085, 0.44988197088241577, 0.44950443506240845, 0.4491305947303772, 0.4485633969306946, 0.448189914226532, 0.44781965017318726, 0.4474504590034485, 0.4473556876182556, 0.44698745012283325, 0.44662052392959595, 0.44625478982925415, 0.44588905572891235, 0.4455268979072571, 0.44516414403915405, 0.4446948170661926, 0.4443379044532776, 0.44398027658462524, 0.44351667165756226, 0.4431610703468323, 0.44280534982681274, 0.44244855642318726, 0.44209545850753784, 0.44152766466140747, 0.4411739706993103, 0.44082003831863403, 0.4404675364494324, 0.4402514100074768, 0.4399009346961975, 0.43954867124557495, 0.4391968846321106, 0.4388502240180969, 0.43850141763687134, 0.4381498694419861, 0.4378034472465515, 0.43745726346969604, 0.4371115565299988, 0.4367665648460388, 0.43642348051071167, 0.43608278036117554, 0.4357420802116394, 0.43540316820144653, 0.4350661635398865, 0.434736430644989, 0.4344026446342468, 0.4340631365776062, 0.43373793363571167, 0.43340879678726196, 0.43308085203170776, 0.43278878927230835, 0.4324650168418884, 0.432319700717926, 0.43199974298477173, 0.43168002367019653, 0.4313656687736511, 0.43104976415634155, 0.4306778311729431, 0.43036216497421265, 0.43004924058914185], forces=[(0.004692080430686474, 0.0073513914830982685, 0.01665804535150528), (0.011967184022068977, 0.004509365186095238, 0.041435908526182175), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0026636486873030663, 0.003470997791737318, 0.010314377024769783), (0.025348488241434097, 0.016183892264962196, 0.056578703224658966), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008380147628486156, 0.007104094605892897, -0.00960427988320589), (0.025295402854681015, -0.00731654092669487, 0.053211696445941925), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.015886256471276283, 0.01068247389048338, -0.0029463295359164476), (0.014807718805968761, 0.014919625595211983, 0.020322630181908607), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.017198702320456505, -0.0005668969242833555, -0.005264145787805319), (-0.024843277409672737, 0.0634291023015976, -0.028306569904088974), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014539066702127457, 0.005534146446734667, -0.00011899736273335293), (-0.011171562597155571, -0.03728737309575081, -0.018130796030163765), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014209645800292492, -0.0016323176678270102, 0.028711142018437386), (-0.002265768591314554, 0.0060676392167806625, 0.03683590143918991), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013777208514511585, 0.006209174636751413, 0.029924025759100914), (-0.0019577897619456053, 0.0026806178502738476, 0.03221781179308891), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007503401953727007, 0.0006370702758431435, 0.025231996551156044), (0.0016742890002205968, 0.005643797572702169, 0.030190303921699524), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0011194351827725768, -0.0873728021979332, 0.0903552696108818), (0.0870390310883522, 0.04459354281425476, -0.05826105549931526)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=22, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8239784240722656, -0.02310173772275448, 16.936208724975586), (1.390095829963684, 1.4021899700164795, 18.861679077148438), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.812047243118286, 2.8032729625701904, 16.915788650512695), (1.34885835647583, 4.199958324432373, 18.8265438079834), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.828131675720215, 5.637938499450684, 16.95439910888672), (1.3700770139694214, 7.066751956939697, 18.839258193969727), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.616080284118652, -0.02948620915412903, 16.957778930664062), (4.211494445800781, 1.3693253993988037, 18.887161254882812), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.613554000854492, 2.8148560523986816, 16.940105438232422), (4.223902225494385, 4.065167427062988, 18.916297912597656), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.621133327484131, 5.636260986328125, 16.94966697692871), (4.261707782745361, 7.128412246704102, 19.010238647460938), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.448003768920898, 0.0027673852164298296, 16.90542221069336), (7.059086799621582, 1.401700496673584, 18.866313934326172), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.444440841674805, 2.8063666820526123, 16.898754119873047), (7.051843166351318, 4.215126037597656, 18.854345321655273), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.45154857635498, 5.640522480010986, 16.910194396972656), (7.065457820892334, 7.042996406555176, 18.86844825744629), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (3.9297759532928467, 5.501850605010986, 20.422548294067383), (4.684078693389893, 5.352039337158203, 21.03106689453125)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5123607516288757, energy_trajectory=[1.7626168727874756, 1.7392675876617432, 1.720963716506958, 1.7042646408081055, 1.6878321170806885, 1.6728119850158691, 1.6591131687164307, 1.6456329822540283, 1.633335828781128, 1.6213741302490234, 1.6099607944488525, 1.5988175868988037, 1.5880825519561768, 1.5776879787445068, 1.5673778057098389, 1.5574522018432617, 1.5478382110595703, 1.5384657382965088, 1.5292177200317383, 1.520089864730835, 1.511087417602539, 1.5021963119506836, 1.4935519695281982, 1.4850430488586426, 1.4766626358032227, 1.4682188034057617, 1.4600799083709717, 1.4521095752716064, 1.444204330444336, 1.4363985061645508, 1.4286925792694092, 1.42108154296875, 1.4135632514953613, 1.406130075454712, 1.3987703323364258, 1.391618251800537, 1.3837964534759521, 1.3766567707061768, 1.3695802688598633, 1.3625645637512207, 1.3562567234039307, 1.3493506908416748, 1.3426668643951416, 1.3359580039978027, 1.3292012214660645, 1.3224942684173584, 1.3158271312713623, 1.3092103004455566, 1.302642583847046, 1.2961206436157227, 1.2896404266357422, 1.2832069396972656, 1.2768163681030273, 1.2704689502716064, 1.2641630172729492, 1.2579023838043213, 1.2516849040985107, 1.2453978061676025, 1.2392733097076416, 1.2331886291503906, 1.2271463871002197, 1.2211484909057617, 1.215193748474121, 1.209282398223877, 1.2034122943878174, 1.1975836753845215, 1.1917967796325684, 1.1860480308532715, 1.1803371906280518, 1.174661636352539, 1.1690247058868408, 1.1634154319763184, 1.157752275466919, 1.1522138118743896, 1.1467094421386719, 1.1412358283996582, 1.1357965469360352, 1.1303904056549072, 1.1250181198120117, 1.119682788848877, 1.1143815517425537, 1.1091182231903076, 1.1038861274719238, 1.0986907482147217, 1.0935299396514893, 1.0884010791778564, 1.0830051898956299, 1.076836347579956, 1.0718050003051758, 1.066800594329834, 1.061842441558838, 1.0568909645080566, 1.0519561767578125, 1.0470561981201172, 1.0421836376190186, 1.0373365879058838, 1.032515525817871, 1.0276744365692139, 1.0229017734527588, 1.0181620121002197, 1.0134484767913818, 1.008760929107666, 1.0041041374206543, 0.9994819760322571, 0.9948899149894714, 0.9903295636177063, 0.9858017563819885, 0.981304943561554, 0.9768375754356384, 0.9724017977714539, 0.9679962992668152, 0.9636216759681702, 0.9592770934104919, 0.9549612402915955, 0.9506730437278748, 0.9464130997657776, 0.9421831965446472, 0.9379655718803406, 0.9337863326072693, 0.9296353459358215, 0.9255122542381287, 0.9214152693748474, 0.9173436760902405, 0.9132967591285706, 0.9092760682106018, 0.9053660035133362, 0.9013908505439758, 0.8974424004554749, 0.8934080004692078, 0.8894161581993103, 0.8855357766151428, 0.8816773295402527, 0.8778422474861145, 0.8740306496620178, 0.8701767325401306, 0.866413414478302, 0.8626744151115417, 0.858957827091217, 0.8552669882774353, 0.8515995144844055, 0.8479564785957336, 0.8443396687507629, 0.8407467007637024, 0.8371792435646057, 0.8339690566062927, 0.8304577469825745, 0.8271132111549377, 0.8236499428749084, 0.8202142119407654, 0.8168023228645325, 0.8134161829948425, 0.8100560307502747, 0.8067204356193542, 0.80340975522995, 0.8001238703727722, 0.7968624234199524, 0.7936251759529114, 0.7904114127159119, 0.7872235178947449, 0.7840587496757507, 0.7809173464775085, 0.7777997851371765, 0.7747047543525696, 0.7714590430259705, 0.7682097554206848, 0.7651750445365906, 0.7621633410453796, 0.7591739296913147, 0.7562043070793152, 0.7532578110694885, 0.750329315662384, 0.7474221587181091, 0.7445345520973206, 0.7416675686836243, 0.7388185858726501, 0.7359891533851624, 0.7331790328025818, 0.7303870320320129, 0.7276138663291931, 0.7248589396476746, 0.7221223711967468, 0.7194049954414368, 0.7167033553123474, 0.7140228152275085, 0.7113578915596008, 0.7087113261222839, 0.706081211566925, 0.703471839427948, 0.7008786797523499, 0.6983036398887634, 0.6957460045814514, 0.692344605922699, 0.6898240447044373, 0.6873224377632141, 0.6851181387901306, 0.6826348900794983, 0.6801876425743103, 0.6777583956718445, 0.6753479838371277, 0.6729537844657898, 0.6707051396369934, 0.6683530211448669, 0.666018545627594, 0.6636232733726501, 0.661327064037323, 0.6590502858161926, 0.6567901968955994, 0.6545493006706238, 0.6522815823554993, 0.650075376033783, 0.6478868126869202, 0.6457145810127258, 0.6435620188713074, 0.6414270997047424, 0.6393082737922668, 0.6372095942497253, 0.6351260542869568, 0.6330605149269104, 0.6310128569602966, 0.6290859580039978, 0.6270690560340881, 0.6250712275505066, 0.6230894923210144, 0.6211254000663757, 0.6195545792579651, 0.6176218390464783, 0.6157042384147644, 0.6138028502464294, 0.6119188666343689, 0.6099701523780823, 0.6081179976463318, 0.606281578540802, 0.604463517665863, 0.6026603579521179, 0.6008705496788025, 0.5990986227989197, 0.5974127650260925, 0.5956676602363586, 0.5939357876777649, 0.5922213196754456, 0.5905203223228455, 0.5888356566429138, 0.5871550440788269, 0.5854936242103577, 0.5840254426002502, 0.5823895335197449, 0.5807675719261169, 0.579156219959259, 0.5775584578514099, 0.57597416639328, 0.574398934841156, 0.5728381276130676, 0.5712305903434753, 0.5697000622749329, 0.5681799054145813, 0.5666764378547668, 0.565183699131012, 0.5637066960334778, 0.5622400641441345, 0.5607869029045105, 0.5593450665473938, 0.5579177737236023, 0.5565025210380554, 0.5550972819328308, 0.5537074208259583, 0.5523279309272766, 0.5509600043296814, 0.5496054291725159, 0.5482620596885681, 0.5469285845756531, 0.5456079840660095, 0.5442984700202942, 0.5436362624168396, 0.5423521399497986, 0.5410794615745544, 0.5398167967796326, 0.5385640263557434, 0.5373024344444275, 0.536069929599762, 0.5348469614982605, 0.533633291721344, 0.5324298739433289, 0.5312376618385315, 0.5300517678260803, 0.5288777947425842, 0.5277130007743835, 0.5265577435493469, 0.5254105925559998, 0.5242728590965271, 0.5231452584266663, 0.5220252871513367, 0.5209148526191711, 0.5198140740394592, 0.5187132954597473, 0.5176340937614441, 0.5165627598762512, 0.5154997706413269, 0.5144442915916443, 0.5133988261222839, 0.5123607516288757], forces=[(-0.001861967728473246, -0.004331989213824272, -0.012612435035407543), (-0.011640689335763454, -0.006112043280154467, -0.014020795002579689), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.012891198508441448, 0.00889937486499548, 0.0068761869333684444), (0.0185504499822855, -0.002544105052947998, -0.007825462147593498), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014139375649392605, -0.01222951803356409, 0.015263804234564304), (0.00722801499068737, -0.015196573920547962, -0.006272185128182173), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0006048051291145384, -0.002732173539698124, -0.021379010751843452), (-0.008736982941627502, -0.00476632546633482, 0.0006510986713692546), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0012044789036735892, -0.010072343982756138, -0.014687609858810902), (0.023728057742118835, 0.023639457300305367, 0.10731164366006851), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01626829244196415, -0.01027598325163126, 0.009588805958628654), (-0.013909968547523022, -0.018855925649404526, -0.004988499451428652), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0008355495519936085, -0.006401768885552883, -0.015261242166161537), (-0.004525948315858841, -0.008023533970117569, -0.011752144433557987), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0012589060934260488, -0.002349864924326539, -0.016881711781024933), (-0.005820762366056442, -0.011349702253937721, -0.011859336867928505), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0011718092719092965, -0.0039184181950986385, -0.013645761646330357), (-0.005444943904876709, -0.007562824059277773, -0.007169964257627726), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.13980914652347565, 0.054314643144607544, 0.048469867557287216), (0.09776415675878525, 0.2570072114467621, -0.020447367802262306)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=23, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.794414520263672, 0.0007368546212092042, 16.953290939331055), (1.397355079650879, 1.5756289958953857, 18.96136474609375), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.801608085632324, 2.812962055206299, 16.922090530395508), (1.404968500137329, 4.2412495613098145, 18.862201690673828), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8056223392486572, 5.647520542144775, 16.91798973083496), (1.4223182201385498, 6.913064479827881, 18.95840072631836), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.640655994415283, -0.0018822243437170982, 16.892732620239258), (4.257357120513916, 1.422466516494751, 18.815814971923828), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.635966777801514, 2.82770037651062, 16.87755584716797), (4.243029594421387, 4.2281575202941895, 18.83125114440918), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.638480186462402, 5.636040210723877, 16.880199432373047), (4.257512092590332, 7.034825801849365, 18.818479537963867), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.489301681518555, 0.0011468635639175773, 16.95103645324707), (7.026577472686768, 1.4258323907852173, 18.81634521484375), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.471572875976562, 2.8191440105438232, 16.914411544799805), (7.026010513305664, 4.2342329025268555, 18.827604293823242), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.473243713378906, 5.652808666229248, 16.919885635375977), (7.031417369842529, 7.044566631317139, 18.82338523864746), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.4222594499588013, 8.491589546203613, 20.38292694091797), (0.5032646656036377, 8.40127944946289, 20.72054672241211)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.43204623460769653, energy_trajectory=[1.3022589683532715, 1.2897148132324219, 1.2789182662963867, 1.2681834697723389, 1.2582616806030273, 1.248636245727539, 1.2395446300506592, 1.2306678295135498, 1.2225944995880127, 1.2147369384765625, 1.207179069519043, 1.1999833583831787, 1.1929597854614258, 1.1860389709472656, 1.1793909072875977, 1.1732518672943115, 1.166977882385254, 1.1606342792510986, 1.1545121669769287, 1.1485395431518555, 1.1425042152404785, 1.136688470840454, 1.130854845046997, 1.125328779220581, 1.1199793815612793, 1.1144702434539795, 1.1090257167816162, 1.103710412979126, 1.0983810424804688, 1.093106746673584, 1.0878267288208008, 1.082627296447754, 1.0774993896484375, 1.0724120140075684, 1.067363977432251, 1.0623528957366943, 1.057373285293579, 1.052424430847168, 1.0475006103515625, 1.0425384044647217, 1.0376629829406738, 1.0328130722045898, 1.027972936630249, 1.0231614112854004, 1.0183629989624023, 1.0135810375213623, 1.0088095664978027, 1.0041131973266602, 0.9993695616722107, 0.9945102334022522, 0.9897919297218323, 0.985085666179657, 0.9803881049156189, 0.9757036566734314, 0.9710293412208557, 0.9666053652763367, 0.961959183216095, 0.9573246836662292, 0.9527001976966858, 0.9480864405632019, 0.9434854388237, 0.9388980269432068, 0.9343077540397644, 0.9297733902931213, 0.9251766800880432, 0.9206451773643494, 0.9161219000816345, 0.9116143584251404, 0.9071151614189148, 0.9026294350624084, 0.8981502652168274, 0.8935926556587219, 0.8891394734382629, 0.8846921324729919, 0.8802562355995178, 0.87582927942276, 0.8714099526405334, 0.8670018315315247, 0.8626036047935486, 0.8582161068916321, 0.8538396954536438, 0.8494753241539001, 0.8451210856437683, 0.840779721736908, 0.8364360928535461, 0.8321139216423035, 0.8278030753135681, 0.8235010504722595, 0.8192088007926941, 0.8149232268333435, 0.810716450214386, 0.806447446346283, 0.8021894097328186, 0.7979361414909363, 0.7938268780708313, 0.7895848155021667, 0.7853519320487976, 0.7811248898506165, 0.7769036889076233, 0.7725481390953064, 0.7683423161506653, 0.764143168926239, 0.7599489092826843, 0.7561307549476624, 0.7518284916877747, 0.7476518750190735, 0.7434810996055603, 0.7393160462379456, 0.7349856495857239, 0.7308400273323059, 0.7267034649848938, 0.7225777506828308, 0.7184612154960632, 0.7143552899360657, 0.7102640271186829, 0.7061815857887268, 0.7021132111549377, 0.6982101798057556, 0.6941660046577454, 0.690136730670929, 0.6861206889152527, 0.6820074915885925, 0.6780204176902771, 0.6740490794181824, 0.6700980067253113, 0.6661615967750549, 0.6622411608695984, 0.6583417057991028, 0.654459536075592, 0.6505972743034363, 0.6467552781105042, 0.6429324746131897, 0.6391316056251526, 0.6353525519371033, 0.6315966248512268, 0.6278632283210754, 0.6241552233695984, 0.6204699873924255, 0.6168103814125061, 0.6131795048713684, 0.6095730662345886, 0.6059932112693787, 0.6020217537879944, 0.5984957814216614, 0.5949986577033997, 0.5915282368659973, 0.5880759358406067, 0.5846629738807678, 0.5812792181968689, 0.5779247879981995, 0.5745963454246521, 0.5712957978248596, 0.568021833896637, 0.5647773146629333, 0.5615587830543518, 0.5583392977714539, 0.5551754832267761, 0.5516666769981384, 0.5485594868659973, 0.545478880405426, 0.5424219965934753, 0.5396435856819153, 0.5366411805152893, 0.5336634516716003, 0.5307136178016663, 0.5277901291847229, 0.5248926281929016, 0.5220237374305725, 0.5191826224327087, 0.5163697600364685, 0.5135859847068787, 0.5108652710914612, 0.5080450177192688, 0.5053531527519226, 0.5028311610221863, 0.5002041459083557, 0.4977582097053528, 0.49520343542099, 0.4928620457649231, 0.4903786778450012, 0.4879327416419983, 0.4855261445045471, 0.4831579327583313, 0.48082977533340454, 0.4784284234046936, 0.47617894411087036, 0.4737088084220886, 0.47154349088668823, 0.4694228768348694, 0.4673457741737366, 0.4653133749961853, 0.46332401037216187, 0.4613804221153259, 0.45948129892349243, 0.4577633738517761, 0.4559538960456848, 0.4542091488838196, 0.452492892742157, 0.4508240818977356, 0.4493921399116516, 0.44781678915023804, 0.44628793001174927, 0.44480496644973755, 0.44336801767349243, 0.4419766068458557, 0.4406324028968811, 0.43933171033859253, 0.43807703256607056, 0.43686598539352417, 0.4356982111930847, 0.43457168340682983, 0.4333276152610779, 0.43227797746658325, 0.4312658905982971, 0.430289089679718, 0.42934566736221313, 0.42844194173812866, 0.42757314443588257, 0.42673593759536743, 0.4259282946586609, 0.42514485120773315, 0.4243854880332947, 0.42364805936813354, 0.42284613847732544, 0.42195528745651245, 0.42127758264541626, 0.4206191897392273, 0.41998380422592163, 0.4193729758262634, 0.4187914729118347, 0.4182177186012268, 0.41770488023757935, 0.4172305464744568, 0.41679519414901733, 0.4163965582847595, 0.41603392362594604, 0.4157028794288635, 0.41540271043777466, 0.4151306748390198, 0.4148856997489929, 0.4146673083305359, 0.41447561979293823, 0.414245069026947, 0.41402333974838257, 0.41392117738723755, 0.413849413394928, 0.4138076901435852, 0.41379743814468384, 0.41381698846817017, 0.4138663411140442, 0.41384607553482056, 0.4132850766181946, 0.41341739892959595, 0.41357308626174927, 0.4137497544288635, 0.4139772057533264, 0.4140682816505432, 0.41430169343948364, 0.41472023725509644, 0.41510850191116333, 0.4153897166252136, 0.41568702459335327, 0.4160953164100647, 0.4164186120033264, 0.41675418615341187, 0.4171730875968933, 0.41752809286117554, 0.41789311170578003, 0.4182683825492859, 0.4186522364616394, 0.4190449118614197, 0.41944628953933716, 0.4201151728630066, 0.4205300211906433, 0.42094987630844116, 0.42137521505355835, 0.4218061566352844, 0.42209404706954956, 0.42250388860702515, 0.42294687032699585, 0.4233934283256531, 0.42384451627731323, 0.4243677258491516, 0.424827516078949, 0.42531245946884155, 0.4254530072212219, 0.4259414076805115, 0.4264066815376282, 0.42687422037124634, 0.427345335483551, 0.42836660146713257, 0.42883819341659546, 0.42874568700790405, 0.42921799421310425, 0.429692804813385, 0.43016964197158813, 0.43064767122268677, 0.43112868070602417, 0.4316111207008362, 0.43204623460769653], forces=[(0.029790837317705154, 0.00789709109812975, -0.011380964890122414), (-0.004486586432904005, -0.0990438386797905, -0.012545086443424225), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.016436312347650528, 0.008377371355891228, 0.016146376729011536), (0.013126232661306858, -0.008393298834562302, 0.032349564135074615), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011440720409154892, 0.005240074824541807, 0.022682350128889084), (0.01435774751007557, 0.07545602321624756, -0.03712625429034233), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0073093753308057785, 0.005463286768645048, 0.045664671808481216), (-0.012196464464068413, 0.002699269913136959, 0.06422187387943268), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.011398546397686005, -0.0011276091681793332, 0.05375317484140396), (-0.003939999267458916, 0.003820074023678899, 0.06046319380402565), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013103397563099861, 0.0035404982045292854, 0.04725512117147446), (0.00794357992708683, 0.008677254430949688, 0.05836665257811546), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.020795688033103943, 0.004888003692030907, -0.00787140242755413), (0.0174977108836174, -0.007222544867545366, 0.0802268236875534), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00030438805697485805, 0.0013048779219388962, 0.03187863901257515), (0.02444063313305378, 0.0029802126809954643, 0.06771372258663177), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0007017148309387267, -0.006946380250155926, 0.016814028844237328), (0.018936658278107643, 0.0048358747735619545, 0.061393409967422485), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.09382128715515137, -0.23475752770900726, 0.1782420575618744), (0.004982660990208387, 0.19250009953975677, 0.09602142125368118)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=24, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8040943145751953, -0.004293633624911308, 16.91461753845215), (1.4022997617721558, 1.4158025979995728, 18.85852813720703), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.806180000305176, 2.825666904449463, 16.911787033081055), (1.424558401107788, 4.083304405212402, 18.946311950683594), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.79469895362854, 5.644344806671143, 16.94819450378418), (1.4096381664276123, 7.214208126068115, 18.95543670654297), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.638128280639648, 0.007273133844137192, 16.878698348999023), (4.237551212310791, 1.4090944528579712, 18.829265594482422), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.639796733856201, 2.8151745796203613, 16.879459381103516), (4.258475303649902, 4.212669849395752, 18.811826705932617), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6409831047058105, 5.642542839050293, 16.893587112426758), (4.2570085525512695, 7.070428848266602, 18.811439514160156), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.471894264221191, -0.004296294413506985, 16.919490814208984), (7.021454811096191, 1.4141438007354736, 18.828807830810547), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.472171783447266, 2.8317041397094727, 16.920719146728516), (7.029687881469727, 4.22619104385376, 18.823688507080078), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.486620903015137, 5.644218444824219, 16.95098304748535), (7.028305530548096, 7.067201137542725, 18.821672439575195), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.50188148021698, 5.650869846343994, 20.37164306640625), (0.5783337950706482, 5.596008777618408, 20.698257446289062)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.44923943281173706, energy_trajectory=[1.3130829334259033, 1.2987957000732422, 1.288726806640625, 1.2787189483642578, 1.2690393924713135, 1.2585711479187012, 1.2493705749511719, 1.2405414581298828, 1.2316362857818604, 1.2228920459747314, 1.214338779449463, 1.2060704231262207, 1.197692632675171, 1.1894125938415527, 1.1812617778778076, 1.173192024230957, 1.1650915145874023, 1.1571550369262695, 1.1493346691131592, 1.1413030624389648, 1.1335384845733643, 1.1256542205810547, 1.1179683208465576, 1.1102945804595947, 1.1025304794311523, 1.0950276851654053, 1.0875699520111084, 1.0800676345825195, 1.0726022720336914, 1.0651707649230957, 1.0578804016113281, 1.0505120754241943, 1.0431759357452393, 1.03587007522583, 1.028597354888916, 1.0212976932525635, 1.014284372329712, 1.0070977210998535, 0.9995972514152527, 0.9925015568733215, 0.9854004979133606, 0.9783353209495544, 0.9709767699241638, 0.9639071822166443, 0.9569271206855774, 0.9499786496162415, 0.9429994225502014, 0.9354068636894226, 0.9285213351249695, 0.9218958020210266, 0.9150648713111877, 0.9082671999931335, 0.9008918404579163, 0.8941457867622375, 0.8874894976615906, 0.881706178188324, 0.8750547766685486, 0.868429958820343, 0.8618336319923401, 0.855265200138092, 0.8487221598625183, 0.8422080874443054, 0.8357222676277161, 0.8292877078056335, 0.8228612542152405, 0.816461980342865, 0.810099184513092, 0.8037717938423157, 0.7974737286567688, 0.7912020087242126, 0.7849625945091248, 0.7787567973136902, 0.7725856900215149, 0.7664490342140198, 0.7603453993797302, 0.7542774081230164, 0.7482483983039856, 0.7422546744346619, 0.7363013625144958, 0.7303845286369324, 0.7245079874992371, 0.7186729311943054, 0.7128800749778748, 0.7071428894996643, 0.7014403939247131, 0.6958591341972351, 0.6902427077293396, 0.6846687197685242, 0.6791506409645081, 0.673767626285553, 0.668351948261261, 0.6629886031150818, 0.6576693654060364, 0.6524541974067688, 0.6473237872123718, 0.6422814726829529, 0.6373204588890076, 0.6324413418769836, 0.6276434063911438, 0.6229272484779358, 0.6182907223701477, 0.6137308478355408, 0.6092485785484314, 0.6048422455787659, 0.6004093289375305, 0.5961522459983826, 0.5919702649116516, 0.5879005789756775, 0.5838080048561096, 0.5798283219337463, 0.5759164690971375, 0.572068989276886, 0.5682843327522278, 0.5645666718482971, 0.5610191226005554, 0.5574231743812561, 0.5538861155509949, 0.5504099726676941, 0.5469900965690613, 0.5436322093009949, 0.5406953692436218, 0.5374627709388733, 0.5342767834663391, 0.5311480164527893, 0.5280731320381165, 0.5250577330589294, 0.5221239924430847, 0.5191373229026794, 0.5162833333015442, 0.5134833455085754, 0.5107359290122986, 0.5080379843711853, 0.5053117871284485, 0.5027135014533997, 0.5001659989356995, 0.4976658225059509, 0.49521833658218384, 0.4928160309791565, 0.4904637932777405, 0.488159716129303, 0.485901415348053, 0.4838342070579529, 0.48148399591445923, 0.47936755418777466, 0.47729653120040894, 0.47527164220809937, 0.47320371866226196, 0.4712684750556946, 0.4693823456764221, 0.4675293564796448, 0.4657202363014221, 0.4639504551887512, 0.46200984716415405, 0.46032410860061646, 0.45868033170700073, 0.4569820761680603, 0.4554157853126526, 0.4542214274406433, 0.45273083448410034, 0.4512787461280823, 0.4499048590660095, 0.44852501153945923, 0.4471821188926697, 0.4458760619163513, 0.44460541009902954, 0.44336801767349243, 0.4421660304069519, 0.44099849462509155, 0.43986421823501587, 0.43876081705093384, 0.4376898407936096, 0.4366489052772522, 0.43563932180404663, 0.43465620279312134, 0.4337034821510315, 0.4327760338783264, 0.43187540769577026, 0.4310019612312317, 0.43014758825302124, 0.4293178915977478, 0.42851072549819946, 0.4277210831642151, 0.4269503951072693, 0.4261975884437561, 0.4254608750343323, 0.42473727464675903, 0.4240254759788513, 0.4233275055885315, 0.4226371645927429, 0.4219539761543274, 0.4212779402732849, 0.42060333490371704, 0.41994112730026245, 0.41928666830062866, 0.41863805055618286, 0.4180060029029846, 0.41732245683670044, 0.4167250990867615, 0.41615575551986694, 0.41562098264694214, 0.4151262640953064, 0.4146793484687805, 0.41428273916244507, 0.41372400522232056, 0.41324383020401, 0.4130099415779114, 0.4128273129463196, 0.4126961827278137, 0.41260844469070435, 0.41256219148635864, 0.41254955530166626, 0.41256505250930786, 0.4126043915748596, 0.4126635193824768, 0.4127400517463684, 0.41283172369003296, 0.41293781995773315, 0.41305631399154663, 0.4131850600242615, 0.4134663939476013, 0.4135364890098572, 0.4137018322944641, 0.41387873888015747, 0.4140670895576477, 0.4142671227455139, 0.4141086935997009, 0.41421622037887573, 0.4144468903541565, 0.4145936369895935, 0.4148443341255188, 0.4151074290275574, 0.4153810143470764, 0.41566723585128784, 0.41596370935440063, 0.41627103090286255, 0.41659015417099, 0.4169185757637024, 0.41725724935531616, 0.4177010655403137, 0.4180615544319153, 0.41843217611312866, 0.418812096118927, 0.4192001223564148, 0.41963058710098267, 0.42002445459365845, 0.420437753200531, 0.42086154222488403, 0.4212929606437683, 0.42173415422439575, 0.4221811890602112, 0.4226381182670593, 0.42245715856552124, 0.4229200482368469, 0.42338985204696655, 0.42386823892593384, 0.4243534207344055, 0.424843966960907, 0.42534106969833374, 0.42584532499313354, 0.4263574481010437, 0.4268720746040344, 0.42739731073379517, 0.42792314291000366, 0.4284593462944031, 0.42901521921157837, 0.42955368757247925, 0.43009811639785767, 0.43064993619918823, 0.43120282888412476, 0.4317639470100403, 0.4323272109031677, 0.4329279065132141, 0.4335032105445862, 0.4340786337852478, 0.43465596437454224, 0.43523794412612915, 0.4358211159706116, 0.43632954359054565, 0.4369143843650818, 0.43729275465011597, 0.43788009881973267, 0.4384685158729553, 0.4390565752983093, 0.43971139192581177, 0.4403000473976135, 0.44146138429641724, 0.44204598665237427, 0.4426349997520447, 0.4432176947593689, 0.4438006281852722, 0.4443797469139099, 0.4449065327644348, 0.4454806447029114, 0.44579166173934937, 0.44635313749313354, 0.4469185471534729, 0.4474814534187317, 0.44803839921951294, 0.4485928416252136, 0.44923943281173706], forces=[(0.02087557315826416, 0.0025009694509208202, 0.013471098616719246), (0.023135999217629433, -0.009977645240724087, 0.041910234838724136), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.025222377851605415, -0.010014769621193409, 0.007459059823304415), (0.019200453534722328, 0.08540404587984085, -0.02501636929810047), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.030172528699040413, 0.00020770102855749428, -0.007360297255218029), (0.01063866913318634, -0.10500968992710114, -0.017242208123207092), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.015147920697927475, -0.0030099672731012106, 0.045013438910245895), (0.007249833084642887, 0.002002222230657935, 0.06479604542255402), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014856860041618347, 0.0014156085671857, 0.04063723608851433), (0.009659714996814728, 0.006616953294724226, 0.06700649112462997), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.015513797290623188, 0.0017552650533616543, 0.032539885491132736), (0.002618800848722458, -0.0030787051655352116, 0.07077882438898087), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0036327505949884653, -0.0009381032432429492, 0.020915562286973), (0.03238009288907051, -0.00044573593186214566, 0.06957647949457169), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004604849498718977, -0.008612602017819881, 0.015029478818178177), (0.04121389612555504, 0.0035153101198375225, 0.07102074474096298), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0037333315704017878, -0.00197772029787302, -0.0023394834715873003), (0.033255696296691895, -0.011063558980822563, 0.07900307327508926), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.19339793920516968, -0.10353022813796997, 0.09428607672452927), (-0.06822783499956131, 0.11212766170501709, 0.2492372989654541)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=25, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.797677755355835, -0.010774664580821991, 16.888282775878906), (1.4133671522140503, 1.4015120267868042, 18.848587036132812), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8045668601989746, 2.8187808990478516, 16.89857292175293), (1.4125252962112427, 4.229924201965332, 18.84832763671875), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.7968621253967285, 5.6479644775390625, 16.88812828063965), (1.409618616104126, 7.04705286026001, 18.850446701049805), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.639094829559326, 0.0037363225128501654, 16.925308227539062), (4.174216270446777, 1.3841667175292969, 18.814186096191406), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.655918121337891, 2.817502975463867, 16.962100982666016), (4.173840045928955, 4.252762317657471, 18.81377410888672), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.638293266296387, 5.6326189041137695, 16.923768997192383), (4.195953369140625, 7.050051212310791, 18.842086791992188), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.42690372467041, 0.009141271933913231, 16.947467803955078), (7.075482368469238, 1.2773640155792236, 18.989288330078125), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.432711601257324, 2.8174471855163574, 16.951051712036133), (7.075785160064697, 4.361838340759277, 18.983314514160156), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.428094863891602, 5.62660551071167, 16.94463539123535), (7.017860412597656, 7.048746109008789, 18.881649017333984), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (6.792884826660156, 2.8313605785369873, 20.42881965637207), (7.512621879577637, 2.809690237045288, 21.093809127807617)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4643532633781433, energy_trajectory=[1.4680426120758057, 1.451413631439209, 1.437854290008545, 1.4246656894683838, 1.4119889736175537, 1.3998377323150635, 1.388167142868042, 1.376943588256836, 1.3661201000213623, 1.3555974960327148, 1.3454880714416504, 1.3354885578155518, 1.3259975910186768, 1.3169877529144287, 1.3078022003173828, 1.2988367080688477, 1.2900302410125732, 1.281407117843628, 1.2728679180145264, 1.2645149230957031, 1.2563655376434326, 1.2486305236816406, 1.2408316135406494, 1.2332048416137695, 1.2257425785064697, 1.2184386253356934, 1.2113776206970215, 1.2041921615600586, 1.1973462104797363, 1.1905853748321533, 1.1839025020599365, 1.1773545742034912, 1.1707887649536133, 1.1644306182861328, 1.1581637859344482, 1.1518232822418213, 1.1457195281982422, 1.1394462585449219, 1.1334753036499023, 1.1275715827941895, 1.121734380722046, 1.1159543991088867, 1.1102044582366943, 1.1045238971710205, 1.0988807678222656, 1.0932848453521729, 1.087724208831787, 1.0822043418884277, 1.07672119140625, 1.071167230606079, 1.0657384395599365, 1.0603375434875488, 1.0549685955047607, 1.0496211051940918, 1.044299602508545, 1.0390024185180664, 1.0337281227111816, 1.0284712314605713, 1.02308988571167, 1.0178732872009277, 1.0126736164093018, 1.007493019104004, 1.0023250579833984, 0.9971712231636047, 0.9920346140861511, 0.9869125485420227, 0.9818016886711121, 0.9767057299613953, 0.9716218113899231, 0.9665506482124329, 0.9614943861961365, 0.9564505219459534, 0.9514188170433044, 0.9464028477668762, 0.9413990378379822, 0.936406672000885, 0.9314281344413757, 0.9263741374015808, 0.921425998210907, 0.9164902567863464, 0.9115685820579529, 0.9066632390022278, 0.9017770886421204, 0.89690762758255, 0.8920559287071228, 0.8872234225273132, 0.8824126124382019, 0.877621591091156, 0.8728521466255188, 0.8681045174598694, 0.8633682131767273, 0.8586665987968445, 0.8539941906929016, 0.849345862865448, 0.844724714756012, 0.8401332497596741, 0.8355687260627747, 0.8310336470603943, 0.8265288472175598, 0.822049081325531, 0.8176013827323914, 0.8131818175315857, 0.8087922930717468, 0.8044300675392151, 0.8000975251197815, 0.7957937121391296, 0.791688859462738, 0.7873159050941467, 0.7830991148948669, 0.7788246273994446, 0.7746664881706238, 0.770534098148346, 0.7663598656654358, 0.7622833847999573, 0.7582363486289978, 0.7542182803153992, 0.7502288222312927, 0.7462661862373352, 0.7423321604728699, 0.7384272217750549, 0.7345525622367859, 0.7307055592536926, 0.7268907427787781, 0.7231035828590393, 0.7193521857261658, 0.7156252264976501, 0.7119320034980774, 0.708271324634552, 0.7046429514884949, 0.7010437846183777, 0.6974783539772034, 0.6939464211463928, 0.6904452443122864, 0.6871016621589661, 0.6836742758750916, 0.6802771687507629, 0.6769171357154846, 0.6735909581184387, 0.6702987551689148, 0.6670425534248352, 0.6638227105140686, 0.6606370806694031, 0.6577348113059998, 0.6546207070350647, 0.6515433192253113, 0.6485018134117126, 0.6454984545707703, 0.6426107287406921, 0.6396815180778503, 0.636793315410614, 0.6339420676231384, 0.631129801273346, 0.6283555626869202, 0.6256216168403625, 0.6229271292686462, 0.620271623134613, 0.6176555752754211, 0.6150771975517273, 0.6124148964881897, 0.6099140048027039, 0.6074523329734802, 0.605027973651886, 0.6026052832603455, 0.6002587676048279, 0.5979489684104919, 0.5956761240959167, 0.593440592288971, 0.5912407040596008, 0.5890764594078064, 0.5869472622871399, 0.584696352481842, 0.5826360583305359, 0.5806109309196472, 0.5786189436912537, 0.5766610503196716, 0.5747364163398743, 0.5728420615196228, 0.5711976885795593, 0.5693638920783997, 0.5676340460777283, 0.565852701663971, 0.5641002058982849, 0.5623762011528015, 0.5608358979225159, 0.5591663718223572, 0.5575225949287415, 0.555903971195221, 0.5543116927146912, 0.5528480410575867, 0.5513022541999817, 0.5499705672264099, 0.5484758019447327, 0.5471447110176086, 0.5456941723823547, 0.5442656874656677, 0.5428557991981506, 0.5414671301841736, 0.5400426983833313, 0.5386919379234314, 0.5373595356941223, 0.5360209345817566, 0.5344566702842712, 0.5331763625144958, 0.5319097638130188, 0.5306616425514221, 0.5295057892799377, 0.5282835364341736, 0.5266441702842712, 0.5254122614860535, 0.5242581963539124, 0.5231195092201233, 0.5219940543174744, 0.5208814740180969, 0.5197812914848328, 0.5186930298805237, 0.5172587037086487, 0.5161556601524353, 0.5151049494743347, 0.5140703320503235, 0.5130518078804016, 0.5120493769645691, 0.5110611319541931, 0.5100883841514587, 0.5091305375099182, 0.5081872344017029, 0.5072588324546814, 0.5063446164131165, 0.5054444670677185, 0.5045583844184875, 0.5036874413490295, 0.5028296113014221, 0.5019860863685608, 0.5011568665504456, 0.5003408789634705, 0.4995388388633728, 0.49875062704086304, 0.49797576665878296, 0.49721330404281616, 0.4964657425880432, 0.4957311749458313, 0.4950096011161804, 0.4943007826805115, 0.493604838848114, 0.4929199814796448, 0.49224764108657837, 0.49158769845962524, 0.49093884229660034, 0.4903011918067932, 0.4896753430366516, 0.4890591502189636, 0.48845261335372925, 0.4878574013710022, 0.48727113008499146, 0.48669272661209106, 0.4861254096031189, 0.4855671525001526, 0.48501497507095337, 0.4846957325935364, 0.484161913394928, 0.48363548517227173, 0.483116090297699, 0.48271578550338745, 0.4822099804878235, 0.4817093014717102, 0.4812154173851013, 0.48063141107559204, 0.48015016317367554, 0.47967320680618286, 0.4792030453681946, 0.47874051332473755, 0.4782828688621521, 0.4778425097465515, 0.4773903489112854, 0.47694796323776245, 0.476506769657135, 0.4760693907737732, 0.4756394028663635, 0.4752102494239807, 0.4747839570045471, 0.47436267137527466, 0.473946750164032, 0.47341734170913696, 0.4730067849159241, 0.47259801626205444, 0.472190797328949, 0.4717865586280823, 0.47057217359542847, 0.47016555070877075, 0.46975940465927124, 0.4693581461906433, 0.4689541459083557, 0.46753233671188354, 0.4671301245689392, 0.4667302966117859, 0.4663143754005432, 0.46591717004776, 0.46552127599716187, 0.46509987115859985, 0.46474748849868774, 0.4643532633781433], forces=[(0.014404794201254845, 0.005925389472395182, 0.016334932297468185), (0.0015034425305202603, -0.0009211331489495933, 0.02109343931078911), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01086129155009985, 0.00033076995168812573, 0.012462523765861988), (0.009006891399621964, 0.006072716787457466, 0.019790418446063995), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.016821671277284622, -0.0031243127305060625, 0.013855568133294582), (-0.001484556240029633, 0.0036888972390443087, 0.02164788357913494), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007723440881818533, 0.008359935134649277, 0.013971056789159775), (0.0376177541911602, 0.0201489869505167, 0.05262470990419388), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007108316291123629, 0.004760412964969873, 0.00815071351826191), (0.03639771044254303, -0.015205517411231995, 0.04886068031191826), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010955371893942356, -0.0009399604750797153, 0.014077556319534779), (0.005573995411396027, 0.002973591210320592, 0.02796391025185585), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.019876280799508095, -0.003708801232278347, -0.015315079130232334), (-0.01248253509402275, 0.05640771985054016, 0.002966598141938448), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005280520301312208, 0.003943832591176033, 0.006506726145744324), (0.008186431601643562, -0.03413378447294235, 0.01590898260474205), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.016789160668849945, 0.010561591945588589, -0.009630836546421051), (0.012775572948157787, 0.011840924620628357, 0.0169672928750515), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01598280295729637, -0.09144287556409836, 0.08681105077266693), (0.13204756379127502, 0.048495251685380936, -0.15979716181755066)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=26, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8179099559783936, -0.002379466313868761, 16.888879776000977), (1.4065399169921875, 1.388858675956726, 18.829280853271484), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7891955375671387, 2.8363866806030273, 16.92786407470703), (1.424487829208374, 4.246937274932861, 18.99777603149414), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.7926886081695557, 5.625544548034668, 16.927108764648438), (1.4063314199447632, 7.069965362548828, 18.837804794311523), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.628352165222168, -0.00541987270116806, 16.887374877929688), (4.210727691650391, 1.3947771787643433, 18.83478546142578), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.636867046356201, 2.836124897003174, 16.933734893798828), (4.1520867347717285, 4.227728843688965, 18.874412536621094), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.644078254699707, 5.617415428161621, 16.93897819519043), (4.212159633636475, 7.066829204559326, 18.836532592773438), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.458489418029785, -0.0024351803585886955, 16.899438858032227), (7.02128267288208, 1.3775235414505005, 18.821521759033203), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.440058708190918, 2.848156452178955, 16.965206146240234), (6.824139595031738, 4.277263164520264, 19.016387939453125), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.444424629211426, 5.615987300872803, 16.958833694458008), (7.032299518585205, 7.076305389404297, 18.83767318725586), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (8.148016929626465, 4.111482620239258, 20.58345603942871), (7.989761829376221, 4.92953634262085, 21.10652732849121)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5878844857215881, energy_trajectory=[1.2288763523101807, 1.2162978649139404, 1.2081503868103027, 1.2004642486572266, 1.1926255226135254, 1.1846423149108887, 1.1769452095031738, 1.1697742938995361, 1.1621670722961426, 1.153980016708374, 1.1466050148010254, 1.1393463611602783, 1.1319401264190674, 1.1246461868286133, 1.1173479557037354, 1.1103966236114502, 1.1032209396362305, 1.0959951877593994, 1.0889225006103516, 1.0818920135498047, 1.0749132633209229, 1.067817211151123, 1.0610592365264893, 1.0544893741607666, 1.048095703125, 1.041869878768921, 1.0355463027954102, 1.029627799987793, 1.023735761642456, 1.018136739730835, 1.0124218463897705, 1.0070250034332275, 1.0017554759979248, 0.9964433312416077, 0.9913972020149231, 0.9864746928215027, 0.9816609025001526, 0.9770105481147766, 0.9722654223442078, 0.9677426218986511, 0.9633564352989197, 0.959699809551239, 0.9555155634880066, 0.9513924717903137, 0.9474028944969177, 0.9434983134269714, 0.939693033695221, 0.9359785914421082, 0.9322182536125183, 0.9286825060844421, 0.9252342581748962, 0.9218434691429138, 0.9185641407966614, 0.9153680205345154, 0.9126924872398376, 0.909637987613678, 0.9065595269203186, 0.9034877419471741, 0.9006536602973938, 0.8978349566459656, 0.8951509594917297, 0.8924844861030579, 0.889936625957489, 0.8874511122703552, 0.8850278258323669, 0.8826572299003601, 0.8803496956825256, 0.8780993819236755, 0.8759041428565979, 0.8739638924598694, 0.8718757033348083, 0.8698411583900452, 0.867853581905365, 0.8659129738807678, 0.8645920157432556, 0.8627325892448425, 0.8609300255775452, 0.8591691851615906, 0.8574507832527161, 0.8557711243629456, 0.8541308045387268, 0.8524649739265442, 0.8509262204170227, 0.8494067788124084, 0.8479464650154114, 0.8465408682823181, 0.8451886773109436, 0.8437111973762512, 0.842447817325592, 0.841224730014801, 0.8400376439094543, 0.8388833403587341, 0.8379654288291931, 0.8368691802024841, 0.8357568383216858, 0.8348371386528015, 0.8338111042976379, 0.832906186580658, 0.8320783972740173, 0.831110417842865, 0.8301597237586975, 0.8292253613471985, 0.8283362984657288, 0.8274300694465637, 0.8265379071235657, 0.825657308101654, 0.8245067000389099, 0.8236467242240906, 0.8227965235710144, 0.8219566941261292, 0.8211256861686707, 0.8202131390571594, 0.8194689154624939, 0.8186596035957336, 0.8178572058677673, 0.8169507384300232, 0.8161559700965881, 0.8153654932975769, 0.8145778775215149, 0.8137955069541931, 0.8130157589912415, 0.8122380375862122, 0.81137615442276, 0.8106018900871277, 0.8098302483558655, 0.8090584874153137, 0.8082893490791321, 0.8076426386833191, 0.806876003742218, 0.806109607219696, 0.80534428358078, 0.8045797944068909, 0.8036637902259827, 0.8029019236564636, 0.8021544814109802, 0.8013949990272522, 0.8006357550621033, 0.7996339201927185, 0.7988751530647278, 0.7981168627738953, 0.7973583340644836, 0.7968549132347107, 0.796232283115387, 0.7954705357551575, 0.7947071194648743, 0.7939421534538269, 0.7931742072105408, 0.7924041152000427, 0.7916317582130432, 0.7908551096916199, 0.7901138663291931, 0.7893292307853699, 0.7885416150093079, 0.7877493500709534, 0.786933958530426, 0.786134660243988, 0.7853309512138367, 0.7845219969749451, 0.7837081551551819, 0.7828912138938904, 0.7819022536277771, 0.7810730338096619, 0.7802401185035706, 0.7793611884117126, 0.778364360332489, 0.7775178551673889, 0.776667058467865, 0.775810182094574, 0.77494877576828, 0.774081289768219, 0.7732077240943909, 0.7723284363746643, 0.7714424729347229, 0.7705495953559875, 0.7696496844291687, 0.7687415480613708, 0.7678257822990417, 0.7669011950492859, 0.765968382358551, 0.7650265097618103, 0.764076292514801, 0.7631155848503113, 0.7621460556983948, 0.7611661553382874, 0.7601771950721741, 0.7591776251792908, 0.7581663727760315, 0.7571443915367126, 0.7561104893684387, 0.7550650238990784, 0.7540085911750793, 0.7529398798942566, 0.7518602013587952, 0.7507675290107727, 0.7496643662452698, 0.7485495209693909, 0.7474231123924255, 0.7452868819236755, 0.7441462874412537, 0.7431835532188416, 0.7418411374092102, 0.740667998790741, 0.739483654499054, 0.7382873892784119, 0.737080991268158, 0.7359464764595032, 0.7347156405448914, 0.7334732413291931, 0.7322174906730652, 0.7309502959251404, 0.7296693921089172, 0.7283762097358704, 0.7270707488059998, 0.7257519364356995, 0.7244229912757874, 0.7230820059776306, 0.7217296957969666, 0.7203672528266907, 0.7189940810203552, 0.7176110148429871, 0.7165120244026184, 0.7151125073432922, 0.7161017060279846, 0.7147272229194641, 0.713295042514801, 0.7118554711341858, 0.7104083895683289, 0.7089552283287048, 0.7075307965278625, 0.706065833568573, 0.704594075679779, 0.7031140923500061, 0.7016273140907288, 0.699985682964325, 0.6984860301017761, 0.6969781517982483, 0.6954630017280579, 0.6939404606819153, 0.6924106478691101, 0.6907554268836975, 0.6892159581184387, 0.6876701712608337, 0.6859765648841858, 0.6844167113304138, 0.6825401186943054, 0.6809728741645813, 0.679399311542511, 0.6778221726417542, 0.6762407422065735, 0.6746553778648376, 0.6730491518974304, 0.6714560389518738, 0.6698587536811829, 0.668256938457489, 0.6666507124900818, 0.665039598941803, 0.6634240746498108, 0.6618021130561829, 0.6596150994300842, 0.6579827666282654, 0.6577879786491394, 0.6561570763587952, 0.6546724438667297, 0.6530044674873352, 0.6513291001319885, 0.6496450304985046, 0.6479536890983582, 0.6462545990943909, 0.6445474028587341, 0.6428306698799133, 0.6411060690879822, 0.639139711856842, 0.6374011635780334, 0.6356509327888489, 0.6338908076286316, 0.6321204304695129, 0.6303401589393616, 0.6285497546195984, 0.6267498135566711, 0.6249398589134216, 0.6231209635734558, 0.6212937235832214, 0.6194574236869812, 0.6176127791404724, 0.6157606244087219, 0.6142528653144836, 0.612387478351593, 0.6105179190635681, 0.6086440682411194, 0.6067659258842468, 0.6050198674201965, 0.6031345725059509, 0.6012477278709412, 0.5993581414222717, 0.5975677371025085, 0.5956056714057922, 0.5935825705528259, 0.5917534232139587, 0.5898463129997253, 0.5878844857215881], forces=[(-0.006751919165253639, 0.0009382306016050279, 0.02498786337673664), (-0.0205698125064373, 0.005688113160431385, 0.049198467284440994), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.032636143267154694, 0.00697741936892271, 0.04342516139149666), (-0.051830075681209564, 0.03027493692934513, 0.11899874359369278), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03341086208820343, -0.00788332149386406, 0.04199617728590965), (-0.02048167772591114, 0.004179199691861868, 0.048362962901592255), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006434028502553701, 0.0033477633260190487, 0.02049921452999115), (-0.008827810175716877, 0.0032025815453380346, 0.04723864793777466), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.036916058510541916, -0.007418805733323097, 0.002665376989170909), (-0.019752757623791695, -0.0017056848155334592, 0.04325461760163307), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04409889504313469, 0.01624550297856331, -0.0038194775115698576), (-0.005745760630816221, -0.004191998858004808, 0.042521920055150986), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008212926797568798, 0.00263417256064713, 0.021914999932050705), (-0.012295234948396683, 0.01225561834871769, 0.04348597675561905), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0037013764958828688, -0.004362569190561771, 0.0005287864478304982), (0.03744765371084213, -0.04827721789479256, -0.10184814780950546), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011375890113413334, 0.010478188283741474, -0.0036416680086404085), (-0.01869518682360649, -0.008339672349393368, 0.032728828489780426), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.2129802256822586, 0.033012453466653824, -0.1499716192483902), (0.31769242882728577, -0.010437709279358387, -0.11387713253498077)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=27, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.81819224357605, 0.0034688827581703663, 16.91360855102539), (1.4244017601013184, 1.4472756385803223, 18.83548355102539), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8240737915039062, 2.832331657409668, 16.900327682495117), (1.4148359298706055, 4.2275590896606445, 18.854856491088867), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.820396900177002, 5.656932830810547, 16.92728614807129), (1.475599765777588, 7.062399387359619, 18.912921905517578), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.643186092376709, 0.00035856617614626884, 16.92102813720703), (4.224169731140137, 1.4256685972213745, 18.849788665771484), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.627474784851074, 2.8455429077148438, 16.892681121826172), (4.220218658447266, 4.224167346954346, 18.858320236206055), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6709980964660645, 5.680675506591797, 16.962427139282227), (4.205852031707764, 7.062619686126709, 18.877315521240234), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.45352554321289, -0.015029381960630417, 16.958984375), (7.023097038269043, 1.470253586769104, 18.80709457397461), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.468043327331543, 2.8323869705200195, 16.901430130004883), (7.0494232177734375, 4.21348237991333, 18.85442352294922), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.463303565979004, 5.660388469696045, 16.948314666748047), (6.913849353790283, 7.009594440460205, 18.990169525146484), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (7.939772605895996, 7.432712554931641, 20.6832218170166), (7.683801174163818, 8.358004570007324, 20.91777229309082)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8413378596305847, energy_trajectory=[1.9577560424804688, 1.9378488063812256, 1.9215540885925293, 1.9060468673706055, 1.8917882442474365, 1.8782851696014404, 1.8656630516052246, 1.8537697792053223, 1.8426547050476074, 1.8316786289215088, 1.8210372924804688, 1.8109714984893799, 1.8012549877166748, 1.791839599609375, 1.7826900482177734, 1.7737832069396973, 1.7650845050811768, 1.7565100193023682, 1.747981309890747, 1.7398669719696045, 1.7318286895751953, 1.724076747894287, 1.7162830829620361, 1.7085630893707275, 1.7008628845214844, 1.6933722496032715, 1.6859683990478516, 1.678642749786377, 1.6714911460876465, 1.6643099784851074, 1.657191276550293, 1.650134801864624, 1.6430461406707764, 1.636099100112915, 1.6292016506195068, 1.6223547458648682, 1.6153852939605713, 1.608623743057251, 1.6019959449768066, 1.5953140258789062, 1.5885441303253174, 1.5819392204284668, 1.5753769874572754, 1.568857192993164, 1.5623753070831299, 1.5559344291687012, 1.549501657485962, 1.5431325435638428, 1.53680419921875, 1.530519723892212, 1.5242760181427002, 1.5180721282958984, 1.5119078159332275, 1.5057833194732666, 1.4997000694274902, 1.4936583042144775, 1.487602710723877, 1.4816420078277588, 1.475719690322876, 1.4698379039764404, 1.4639909267425537, 1.4581809043884277, 1.4524095058441162, 1.4466729164123535, 1.4409704208374023, 1.4353070259094238, 1.429673671722412, 1.4240765571594238, 1.418588638305664, 1.412977933883667, 1.4074764251708984, 1.4020051956176758, 1.3965625762939453, 1.3911495208740234, 1.385362148284912, 1.380000114440918, 1.3746702671051025, 1.369495153427124, 1.3642244338989258, 1.3589811325073242, 1.3537650108337402, 1.3485774993896484, 1.343416690826416, 1.3382713794708252, 1.3332839012145996, 1.328317642211914, 1.3233580589294434, 1.3185389041900635, 1.3137903213500977, 1.3089568614959717, 1.3043556213378906, 1.299884557723999, 1.295433759689331, 1.291055679321289, 1.2863609790802002, 1.282127857208252, 1.2779200077056885, 1.273834228515625, 1.269822359085083, 1.265881061553955, 1.2620117664337158, 1.2582135200500488, 1.254485845565796, 1.250826358795166, 1.2472329139709473, 1.24373197555542, 1.2402689456939697, 1.236865758895874, 1.233452558517456, 1.2301700115203857, 1.2269442081451416, 1.2237730026245117, 1.220656394958496, 1.2176806926727295, 1.214667797088623, 1.2116496562957764, 1.2087292671203613, 1.2058532238006592, 1.2030203342437744, 1.2002270221710205, 1.1974754333496094, 1.1947593688964844, 1.192225456237793, 1.1895818710327148, 1.185565710067749, 1.1830103397369385, 1.1804847717285156, 1.1779875755310059, 1.1755166053771973, 1.1730701923370361, 1.1706466674804688, 1.168245553970337, 1.165865421295166, 1.1635041236877441, 1.1611759662628174, 1.158853530883789, 1.1565477848052979, 1.1542582511901855, 1.152012586593628, 1.149752140045166, 1.1475059986114502, 1.1452736854553223, 1.1430561542510986, 1.1408507823944092, 1.1386585235595703, 1.136479377746582, 1.1343119144439697, 1.1321556568145752, 1.130011796951294, 1.1278774738311768, 1.1257529258728027, 1.123640537261963, 1.1215357780456543, 1.119441270828247, 1.1172993183135986, 1.1152231693267822, 1.113154649734497, 1.1109838485717773, 1.108933448791504, 1.1068878173828125, 1.1048505306243896, 1.1028947830200195, 1.1007297039031982, 1.098710298538208, 1.0967979431152344, 1.0947949886322021, 1.0927937030792236, 1.0907976627349854, 1.088806390762329, 1.0868182182312012, 1.0848326683044434, 1.0828516483306885, 1.0808722972869873, 1.0787391662597656, 1.0767664909362793, 1.0747957229614258, 1.0728271007537842, 1.0708603858947754, 1.0688254833221436, 1.0668623447418213, 1.064969539642334, 1.0630125999450684, 1.0613341331481934, 1.0593810081481934, 1.057429552078247, 1.055480718612671, 1.053532361984253, 1.051586627960205, 1.0496413707733154, 1.047698974609375, 1.0457582473754883, 1.0438189506530762, 1.0418810844421387, 1.0399446487426758, 1.038010597229004, 1.0360755920410156, 1.034142255783081, 1.0322091579437256, 1.0302770137786865, 1.028346300125122, 1.026414155960083, 1.0244824886322021, 1.0225491523742676, 1.0206165313720703, 1.0186810493469238, 1.0167450904846191, 1.0148074626922607, 1.0128662586212158, 1.0109665393829346, 1.0090150833129883, 1.007061243057251, 1.0051045417785645, 1.0031445026397705, 1.001164197921753, 0.999196469783783, 0.9972267746925354, 0.995251476764679, 0.9932728409767151, 0.9915483593940735, 0.989564836025238, 0.9875771403312683, 0.9855858683586121, 0.9835913777351379, 0.9815917611122131, 0.9795902371406555, 0.9775850176811218, 0.9755765795707703, 0.9735633730888367, 0.9715483784675598, 0.9695302844047546, 0.9675092101097107, 0.9654853940010071, 0.9634585976600647, 0.9614842534065247, 0.9594517350196838, 0.957417905330658, 0.9553806185722351, 0.9533413052558899, 0.9513439536094666, 0.9492985606193542, 0.9472512602806091, 0.9452008605003357, 0.9431492686271667, 0.9410951733589172, 0.9392107129096985, 0.9371517300605774, 0.9351944327354431, 0.9331339001655579, 0.9309038519859314, 0.9288416504859924, 0.9267790913581848, 0.9247161746025085, 0.9226526618003845, 0.92058926820755, 0.9185337424278259, 0.9164969325065613, 0.9144802689552307, 0.9124830365180969, 0.9105036854743958, 0.9085432887077332, 0.90660160779953, 0.9046782851219177, 0.902772843837738, 0.9008863568305969, 0.8990163207054138, 0.8971622586250305, 0.8953261971473694, 0.8934021592140198, 0.8915975689888, 0.8898106217384338, 0.888037383556366, 0.8862791657447815, 0.8845362067222595, 0.8828057646751404, 0.8810893893241882, 0.8793845772743225, 0.8776939511299133, 0.8760136961936951, 0.8743459582328796, 0.8726966977119446, 0.8710495829582214, 0.8694136738777161, 0.867787778377533, 0.8663144707679749, 0.8647084832191467, 0.8631114363670349, 0.8615227341651917, 0.859942615032196, 0.8583715558052063, 0.856807291507721, 0.8552513718605042, 0.8537023663520813, 0.8521621823310852, 0.8506283164024353, 0.849132239818573, 0.8476126790046692, 0.8460987210273743, 0.8445932269096375, 0.8430939316749573, 0.8413378596305847], forces=[(-0.021757425740361214, -0.006462103221565485, 0.007578345015645027), (-0.025783799588680267, -0.01151125319302082, 0.016168808564543724), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006435497663915157, 0.0028019605670124292, -0.004398963879793882), (-0.006164698861539364, 0.006444456521421671, 0.007073966320604086), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.022435761988162994, 0.011062405072152615, 0.008128783665597439), (-0.07810293883085251, 0.03907853364944458, 0.08472734689712524), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005677175708115101, -0.00316797336563468, 0.000470294791739434), (-0.0063379667699337006, 0.009817805141210556, -0.0006367393070831895), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00010317111446056515, -0.0028856981080025434, -0.0035807029344141483), (-0.004397760611027479, 0.005500993691384792, 0.0015889548230916262), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.022384202107787132, -0.006515965331345797, -0.020377803593873978), (-0.03587643802165985, 0.0068800318986177444, 0.0089612677693367), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010906580835580826, -0.0061570885591208935, -0.0009593454888090491), (0.010404855944216251, -0.04672745615243912, 0.0297740176320076), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00828936044126749, -0.0015609755646437407, 0.0021494836546480656), (-0.011681150645017624, 0.007392250932753086, 0.002357886638492346), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014315130189061165, 0.017691398039460182, 0.01884426176548004), (-0.04715157672762871, 0.059366416186094284, 0.05510718747973442), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.05810743570327759, -0.15847516059875488, 0.033703409135341644), (0.28945592045783997, -0.17037749290466309, -0.07454819977283478)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=28, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8359344005584717, -0.004318287130445242, 16.912378311157227), (1.3992741107940674, 1.3997329473495483, 18.8198184967041), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8454151153564453, 2.8176867961883545, 16.944948196411133), (1.3928089141845703, 4.240662097930908, 18.832101821899414), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8354897499084473, 5.623158931732178, 16.92477035522461), (1.3920403718948364, 7.05562686920166, 18.830730438232422), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.637134552001953, -0.010313984006643295, 16.90288734436035), (4.245357036590576, 1.22519850730896, 18.91196060180664), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.622053623199463, 2.8193554878234863, 16.947612762451172), (4.210376262664795, 4.332828044891357, 18.97964096069336), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.629644393920898, 5.6233720779418945, 16.92011833190918), (4.236043453216553, 7.0178632736206055, 18.85679054260254), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.46906852722168, -0.007545314729213715, 16.87798500061035), (7.091710090637207, 1.3882372379302979, 18.806034088134766), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.46752643585205, 2.8242597579956055, 16.89499855041504), (7.079902648925781, 4.247125625610352, 18.81871223449707), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.466147422790527, 5.647390842437744, 16.88412857055664), (7.067787170410156, 7.050435543060303, 18.830368041992188), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.351511478424072, 2.7088303565979004, 20.383325576782227), (3.478771686553955, 2.6068453788757324, 20.81805419921875)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.45791441202163696, energy_trajectory=[0.8497019410133362, 0.8359139561653137, 0.8247056603431702, 0.8144491314888, 0.8045380711555481, 0.7950720191001892, 0.7856542468070984, 0.7765185236930847, 0.7678688168525696, 0.759073793888092, 0.7505200505256653, 0.742076575756073, 0.7337908148765564, 0.725836455821991, 0.717717707157135, 0.7099676728248596, 0.7024394869804382, 0.6951258778572083, 0.6879900097846985, 0.6811304688453674, 0.6743237376213074, 0.6677150130271912, 0.6612809300422668, 0.6549878716468811, 0.6488351225852966, 0.6428987383842468, 0.6370143294334412, 0.6312491297721863, 0.6255218386650085, 0.6200347542762756, 0.6146638989448547, 0.6094091534614563, 0.6043849587440491, 0.5992220044136047, 0.5942468047142029, 0.589435875415802, 0.5847086310386658, 0.5800790190696716, 0.5755780339241028, 0.5711528658866882, 0.5668186545372009, 0.562693178653717, 0.5585256218910217, 0.5543294548988342, 0.5505189299583435, 0.5466253161430359, 0.5428329110145569, 0.5391233563423157, 0.5355148911476135, 0.5320660471916199, 0.5284907221794128, 0.5251640677452087, 0.5217772126197815, 0.5185031294822693, 0.515275776386261, 0.5122786164283752, 0.5093575119972229, 0.5065106749534607, 0.5037363171577454, 0.5010345578193665, 0.4984017014503479, 0.49583667516708374, 0.493338406085968, 0.4909057021141052, 0.4886637330055237, 0.4864116311073303, 0.4841659665107727, 0.48198026418685913, 0.4798535704612732, 0.47778576612472534, 0.4757757782936096, 0.4738207459449768, 0.47192174196243286, 0.47007662057876587, 0.4682843089103699, 0.4665437340736389, 0.4648551344871521, 0.4632120728492737, 0.461617648601532, 0.46032649278640747, 0.4588220715522766, 0.45736342668533325, 0.45594853162765503, 0.4545746445655823, 0.453241765499115, 0.4519466757774353, 0.45068830251693726, 0.4494650959968567, 0.44827741384506226, 0.44712239503860474, 0.44599705934524536, 0.4445987343788147, 0.4435269236564636, 0.4424818158149719, 0.44142383337020874, 0.44042855501174927, 0.4394572377204895, 0.4385088086128235, 0.4375815987586975, 0.4366760849952698, 0.43579012155532837, 0.4349241852760315, 0.43407803773880005, 0.4329686760902405, 0.4321569800376892, 0.43136388063430786, 0.43058842420578003, 0.42972809076309204, 0.42898863554000854, 0.4282671809196472, 0.42756491899490356, 0.4268806576728821, 0.426139771938324, 0.4254932999610901, 0.42486685514450073, 0.42425936460494995, 0.42367035150527954, 0.4232702851295471, 0.4227229952812195, 0.42219477891921997, 0.4216863512992859, 0.42119842767715454, 0.42072993516921997, 0.4201272130012512, 0.41975969076156616, 0.4194555878639221, 0.4190649390220642, 0.41869431734085083, 0.4183424115180969, 0.4181678891181946, 0.41785603761672974, 0.41756266355514526, 0.41692429780960083, 0.4166715741157532, 0.4164389967918396, 0.4161760210990906, 0.41598254442214966, 0.41580694913864136, 0.4161333441734314, 0.41599613428115845, 0.41587764024734497, 0.41577786207199097, 0.4156966805458069, 0.4156333804130554, 0.4155868887901306, 0.4155574440956116, 0.41554492712020874, 0.41554802656173706, 0.4155653119087219, 0.4155990481376648, 0.4160922169685364, 0.41618162393569946, 0.41625839471817017, 0.41634541749954224, 0.41644495725631714, 0.4165552258491516, 0.4166751503944397, 0.4166080355644226, 0.4167479872703552, 0.4168848395347595, 0.4171038269996643, 0.41726619005203247, 0.41743868589401245, 0.417616069316864, 0.417747437953949, 0.41794079542160034, 0.41813939809799194, 0.4183434844017029, 0.4183829426765442, 0.4187301993370056, 0.4189470410346985, 0.41916805505752563, 0.41939204931259155, 0.41962021589279175, 0.41996389627456665, 0.42020052671432495, 0.42043715715408325, 0.420676052570343, 0.4209185242652893, 0.42116278409957886, 0.4214087128639221, 0.42165642976760864, 0.4219065308570862, 0.42215627431869507, 0.4224089980125427, 0.42266446352005005, 0.4230284094810486, 0.4232848286628723, 0.42354005575180054, 0.42379969358444214, 0.42405790090560913, 0.4243181347846985, 0.4245794415473938, 0.4248427748680115, 0.42510682344436646, 0.4254201054573059, 0.4256862998008728, 0.42595452070236206, 0.4262234568595886, 0.42649489641189575, 0.4267682433128357, 0.42642754316329956, 0.4266898036003113, 0.4269668459892273, 0.427245557308197, 0.42752712965011597, 0.4278135895729065, 0.428100049495697, 0.4286045432090759, 0.42889779806137085, 0.42919450998306274, 0.42949336767196655, 0.42979615926742554, 0.4300989508628845, 0.4304046034812927, 0.4307132363319397, 0.43102413415908813, 0.4313369393348694, 0.4316529631614685, 0.4319691061973572, 0.4322872757911682, 0.4326072335243225, 0.43292897939682007, 0.4332517981529236, 0.4332401156425476, 0.43306177854537964, 0.4333891272544861, 0.4337173104286194, 0.4340454936027527, 0.43444615602493286, 0.43477827310562134, 0.43493300676345825, 0.43526583909988403, 0.43559879064559937, 0.43590670824050903, 0.4362439513206482, 0.4363850951194763, 0.4367222189903259, 0.4370611310005188, 0.43739861249923706, 0.43773704767227173, 0.4381900429725647, 0.4385290741920471, 0.4390026926994324, 0.43934136629104614, 0.4396805167198181, 0.44001859426498413, 0.440357506275177, 0.44076305627822876, 0.4411030411720276, 0.44134706258773804, 0.44168800115585327, 0.4420308470726013, 0.4423726201057434, 0.4425439238548279, 0.44288426637649536, 0.4432244896888733, 0.44356411695480347, 0.44390422105789185, 0.4445587992668152, 0.44489413499832153, 0.44523149728775024, 0.4455675482749939, 0.4463687539100647, 0.4467013478279114, 0.44703465700149536, 0.4473673701286316, 0.4476991295814514, 0.4480307698249817, 0.44836145639419556, 0.44869309663772583, 0.44902366399765015, 0.4493526816368103, 0.44968122243881226, 0.4500095248222351, 0.45033520460128784, 0.4506606459617615, 0.4509841799736023, 0.4513067603111267, 0.4516288638114929, 0.4519367814064026, 0.4522554278373718, 0.452572762966156, 0.45288974046707153, 0.4532034993171692, 0.45351773500442505, 0.45383042097091675, 0.4541425108909607, 0.45445138216018677, 0.4547589421272278, 0.4552024006843567, 0.4555070996284485, 0.45581120252609253, 0.4561135172843933, 0.4564146399497986, 0.4567299485206604, 0.45702773332595825, 0.4573255181312561, 0.4576203227043152, 0.45791441202163696], forces=[(0.004536489024758339, -0.009158858098089695, 0.034156858921051025), (0.012004109099507332, -0.014587684534490108, 0.054853152483701706), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009815402328968048, -0.01480190735310316, 0.007478354964405298), (0.003988472279161215, -0.024068862199783325, 0.05544545128941536), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0011399658396840096, -0.009129383601248264, 0.0289778932929039), (0.018772901967167854, -0.020891105756163597, 0.059869810938835144), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-9.351583867100999e-05, -0.0032066600397229195, 0.04178497940301895), (-0.006025515962392092, 0.06564782559871674, 0.06314319372177124), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014632223173975945, -0.01523123774677515, 0.005682715680450201), (0.010358618572354317, -0.05814620479941368, -0.00442978460341692), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005043046548962593, -0.009367878548800945, 0.031755343079566956), (0.0073993573896586895, -0.002694759052246809, 0.04939480498433113), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003756510326638818, -0.009524666704237461, 0.042381402105093), (-0.0028846950735896826, -0.010231247171759605, 0.05898316577076912), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0022846932988613844, -0.011623412370681763, 0.034323785454034805), (-0.001143778907135129, -0.025252830237150192, 0.056317318230867386), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002104243729263544, -0.009346398524940014, 0.039539091289043427), (0.0006305220886133611, -0.01733514294028282, 0.05768023431301117), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.08337420970201492, 0.09871263802051544, 0.12961572408676147), (-0.0764707699418068, 0.20703916251659393, 0.10433568805456161)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=29, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.7946298122406006, -0.009245757944881916, 16.895809173583984), (1.4107820987701416, 1.4174723625183105, 18.87088394165039), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.805156707763672, 2.819307565689087, 16.9025936126709), (1.414821743965149, 4.2339019775390625, 18.865997314453125), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.79592227935791, 5.652381420135498, 16.896516799926758), (1.4163299798965454, 7.062134265899658, 18.866161346435547), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.635412693023682, 0.010656175203621387, 16.920841217041016), (4.161216735839844, 1.3701446056365967, 18.817909240722656), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.646453380584717, 2.827930450439453, 16.954763412475586), (4.1424994468688965, 4.276741027832031, 18.820768356323242), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.629070281982422, 5.6547651290893555, 16.915515899658203), (4.210526466369629, 7.058678150177002, 18.858701705932617), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.428851127624512, 0.02501107193529606, 16.95859146118164), (7.071201801300049, 1.345403790473938, 18.97203254699707), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.447172164916992, 2.823418378829956, 16.939899444580078), (7.120190620422363, 4.389742374420166, 18.909486770629883), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.431410789489746, 5.640570163726807, 16.95051383972168), (7.0282464027404785, 7.089132785797119, 18.8874454498291), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (6.37984037399292, 3.0288829803466797, 20.325578689575195), (6.783049583435059, 3.1898484230041504, 21.204944610595703)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.732997477054596, energy_trajectory=[1.9282259941101074, 1.909048080444336, 1.8929924964904785, 1.8775835037231445, 1.8624491691589355, 1.8471510410308838, 1.8321232795715332, 1.8167009353637695, 1.8020086288452148, 1.7879579067230225, 1.7748384475708008, 1.7621545791625977, 1.7500765323638916, 1.7384507656097412, 1.727186679840088, 1.715831995010376, 1.7051029205322266, 1.6948416233062744, 1.684844732284546, 1.6748757362365723, 1.6653192043304443, 1.6559641361236572, 1.6467926502227783, 1.6377923488616943, 1.6289615631103516, 1.6202771663665771, 1.6117420196533203, 1.6033859252929688, 1.5951104164123535, 1.5869488716125488, 1.5789012908935547, 1.57096529006958, 1.5631287097930908, 1.5553898811340332, 1.5477218627929688, 1.5401356220245361, 1.5326321125030518, 1.5249829292297363, 1.517632246017456, 1.5103583335876465, 1.5031485557556152, 1.496002435684204, 1.4887971878051758, 1.4817781448364258, 1.4748139381408691, 1.468123197555542, 1.4612691402435303, 1.4544672966003418, 1.4477198123931885, 1.4410274028778076, 1.434387445449829, 1.4278051853179932, 1.4212725162506104, 1.4147863388061523, 1.4083476066589355, 1.401961088180542, 1.3956286907196045, 1.3887600898742676, 1.3825039863586426, 1.3762977123260498, 1.3701417446136475, 1.3640308380126953, 1.3579659461975098, 1.351945161819458, 1.3459646701812744, 1.3400249481201172, 1.33402681350708, 1.3281686305999756, 1.3223459720611572, 1.3165655136108398, 1.31075119972229, 1.3050367832183838, 1.299360990524292, 1.293715476989746, 1.2881054878234863, 1.28253173828125, 1.2769899368286133, 1.270759105682373, 1.2652997970581055, 1.2601792812347412, 1.2548012733459473, 1.2493817806243896, 1.2440710067749023, 1.2387986183166504, 1.233565330505371, 1.2285871505737305, 1.22343111038208, 1.2183213233947754, 1.2132575511932373, 1.2082362174987793, 1.203261375427246, 1.198333740234375, 1.1934525966644287, 1.18861985206604, 1.183835506439209, 1.1790988445281982, 1.174225091934204, 1.1695811748504639, 1.1649870872497559, 1.160435438156128, 1.1558866500854492, 1.1514205932617188, 1.146998405456543, 1.1426167488098145, 1.1382782459259033, 1.1339802742004395, 1.1297218799591064, 1.1254284381866455, 1.1212453842163086, 1.1168744564056396, 1.1127655506134033, 1.108694314956665, 1.104658603668213, 1.1006584167480469, 1.0966928005218506, 1.0927646160125732, 1.0888676643371582, 1.0850050449371338, 1.0811774730682373, 1.0773837566375732, 1.0736265182495117, 1.0698192119598389, 1.066136121749878, 1.062485694885254, 1.058868408203125, 1.0552871227264404, 1.0517408847808838, 1.048232078552246, 1.0447592735290527, 1.0413198471069336, 1.0379164218902588, 1.0345478057861328, 1.031212568283081, 1.0279107093811035, 1.0245695114135742, 1.021338701248169, 1.0181348323822021, 1.014970064163208, 1.0118331909179688, 1.0086510181427002, 1.005580186843872, 1.0024733543395996, 0.9994605183601379, 0.9964783787727356, 0.9935263991355896, 0.9905999302864075, 0.9877039790153503, 0.984834611415863, 0.9819932579994202, 0.9791777729988098, 0.976389467716217, 0.9736248850822449, 0.970890462398529, 0.9681767821311951, 0.9654884934425354, 0.9628191590309143, 0.9601836800575256, 0.9575678706169128, 0.9549691081047058, 0.9524044394493103, 0.9498578906059265, 0.9473350644111633, 0.9448323845863342, 0.9423539042472839, 0.9398970007896423, 0.9374635815620422, 0.9350540041923523, 0.9325159192085266, 0.930149257183075, 0.9278015494346619, 0.9254738688468933, 0.9231697916984558, 0.9208899140357971, 0.918630063533783, 0.9163928627967834, 0.9141756892204285, 0.9119810461997986, 0.9098076224327087, 0.9075831770896912, 0.9054487347602844, 0.9033252596855164, 0.901232898235321, 0.8991621136665344, 0.8971101641654968, 0.8950802683830261, 0.8930674195289612, 0.8910751938819885, 0.8891041874885559, 0.8872542977333069, 0.8853201270103455, 0.883402407169342, 0.8815059065818787, 0.8796249032020569, 0.877763569355011, 0.8759180903434753, 0.8740889430046082, 0.8722776770591736, 0.8705088496208191, 0.8687312006950378, 0.8669672608375549, 0.8652192950248718, 0.8634867072105408, 0.8617680668830872, 0.8600642085075378, 0.8585819602012634, 0.8569034934043884, 0.8552388548851013, 0.8535872101783752, 0.8519474864006042, 0.8503192067146301, 0.8489297032356262, 0.8473252654075623, 0.8457298874855042, 0.8441445231437683, 0.8425710797309875, 0.8410055041313171, 0.8394502997398376, 0.8379057049751282, 0.8364073634147644, 0.8348812460899353, 0.8333626389503479, 0.8318538069725037, 0.8303543925285339, 0.8288628458976746, 0.8273815512657166, 0.8259087204933167, 0.8244436383247375, 0.8229872584342957, 0.8215388655662537, 0.8200997710227966, 0.818863570690155, 0.8174406886100769, 0.8160274624824524, 0.8146209120750427, 0.8132224678993225, 0.8120604157447815, 0.8106767535209656, 0.8093015551567078, 0.807933509349823, 0.8065459132194519, 0.8051918148994446, 0.8038470149040222, 0.8025075793266296, 0.8011757731437683, 0.7998496890068054, 0.7985300421714783, 0.7972157597541809, 0.7959075570106506, 0.7946051955223083, 0.7933081984519958, 0.7920147776603699, 0.7905071377754211, 0.7892237305641174, 0.7879447340965271, 0.7866700291633606, 0.7853986620903015, 0.7841327786445618, 0.7828693985939026, 0.781609833240509, 0.7803542017936707, 0.7791025042533875, 0.7778529524803162, 0.776607096195221, 0.7753637433052063, 0.7741237282752991, 0.7728865742683411, 0.7716535925865173, 0.7704233527183533, 0.7691953778266907, 0.7679721713066101, 0.7667518258094788, 0.7655327916145325, 0.7643190026283264, 0.7631080746650696, 0.7619003653526306, 0.7606951594352722, 0.759493887424469, 0.7583214640617371, 0.7571272253990173, 0.7559366822242737, 0.754748523235321, 0.7535656094551086, 0.7523855566978455, 0.7512094378471375, 0.7501751780509949, 0.7490066885948181, 0.7478407025337219, 0.74667888879776, 0.745520293712616, 0.7443651556968689, 0.7432145476341248, 0.7420663237571716, 0.7409214377403259, 0.7397801280021667, 0.7386404871940613, 0.7375057339668274, 0.7363739609718323, 0.735245406627655, 0.7341194748878479, 0.732997477054596], forces=[(-0.0022668505553156137, 0.007239501923322678, -0.008384132757782936), (-0.005964328534901142, 0.004965101834386587, -0.001956834690645337), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001643041498027742, 0.005312708206474781, -0.005714205093681812), (-0.005406634882092476, 0.01019386388361454, -0.003869015723466873), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00724394153803587, 0.008402039296925068, -0.019488688558340073), (-0.007135591935366392, 0.004414110444486141, -0.004387228284031153), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002227156888693571, 0.012265841476619244, 0.004273790400475264), (0.026973111554980278, 0.037170033901929855, 0.017451999709010124), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010502303019165993, 0.010509567335247993, 0.02171255089342594), (0.03379852697253227, -0.008654223755002022, -0.0010706079192459583), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008241006173193455, -0.005440509412437677, 0.009009375236928463), (-0.012544026598334312, 0.005523953586816788, -0.007374163251370192), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0022720610722899437, 0.0074432832188904285, -0.002356946235522628), (-0.018630746752023697, 0.03817272558808327, 0.04546838998794556), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.019307509064674377, 0.012051396071910858, 0.016116272658109665), (-0.03746945410966873, -0.02451108582317829, 0.10783425718545914), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0015497945714741945, 0.013760115951299667, -0.010442741215229034), (-0.009108372963964939, 0.009569259360432625, 0.007855009287595749), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.15218251943588257, -0.11106399446725845, 0.07099593430757523), (0.2373153269290924, -0.18872781097888947, -0.06140647083520889)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=30, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8268208503723145, -0.020438184961676598, 16.902185440063477), (1.4305719137191772, 1.3570640087127686, 18.83051872253418), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8070108890533447, 2.8179585933685303, 16.928325653076172), (1.50307035446167, 4.256937503814697, 18.986352920532227), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.7976105213165283, 5.611828804016113, 16.957149505615234), (1.4057930707931519, 7.059126853942871, 18.867870330810547), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.6287689208984375, -0.023808345198631287, 16.898468017578125), (4.224471569061279, 1.3868224620819092, 18.860715866088867), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.628979206085205, 2.8091187477111816, 16.91510009765625), (4.2059102058410645, 4.207005500793457, 18.88591766357422), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.642080783843994, 5.610718250274658, 16.944108963012695), (4.22758150100708, 7.0568318367004395, 18.867023468017578), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.462196350097656, -0.014974242076277733, 16.90892791748047), (7.0176591873168945, 1.343833565711975, 18.82396697998047), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.461247444152832, 2.8261301517486572, 16.953649520874023), (6.900371074676514, 4.230919361114502, 18.922073364257812), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.459711074829102, 5.620771884918213, 16.947471618652344), (7.044837474822998, 7.048774242401123, 18.859195709228516), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (-0.0904359221458435, 3.864997386932373, 20.39280891418457), (-0.19157768785953522, 4.585957050323486, 21.04871368408203)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5102874636650085, energy_trajectory=[1.835787057876587, 1.8132588863372803, 1.7948980331420898, 1.7777893543243408, 1.7611825466156006, 1.7465345859527588, 1.7317123413085938, 1.7176318168640137, 1.7040772438049316, 1.6911563873291016, 1.6786210536956787, 1.666539192199707, 1.6548833847045898, 1.6437232494354248, 1.632826805114746, 1.6223678588867188, 1.6120038032531738, 1.602062463760376, 1.5923686027526855, 1.5829052925109863, 1.573669672012329, 1.564633846282959, 1.5560088157653809, 1.5473384857177734, 1.538834810256958, 1.5303258895874023, 1.5221357345581055, 1.514089584350586, 1.5061872005462646, 1.4984004497528076, 1.490731954574585, 1.4831793308258057, 1.4757273197174072, 1.4687981605529785, 1.4615304470062256, 1.454352855682373, 1.4472556114196777, 1.440237283706665, 1.433302879333496, 1.4264254570007324, 1.4196126461029053, 1.412853479385376, 1.4061546325683594, 1.399503231048584, 1.39290452003479, 1.3864150047302246, 1.3799078464508057, 1.3734402656555176, 1.3670117855072021, 1.3603479862213135, 1.3539915084838867, 1.347665548324585, 1.3413684368133545, 1.3351006507873535, 1.3287360668182373, 1.3225312232971191, 1.316357135772705, 1.3102076053619385, 1.304084300994873, 1.297985315322876, 1.2919127941131592, 1.2858631610870361, 1.2797338962554932, 1.2737336158752441, 1.2677583694458008, 1.2611894607543945, 1.2552564144134521, 1.249342441558838, 1.243452787399292, 1.237579345703125, 1.2317306995391846, 1.225903034210205, 1.2200982570648193, 1.2143096923828125, 1.2084472179412842, 1.2027020454406738, 1.1969740390777588, 1.1912405490875244, 1.1855521202087402, 1.179884672164917, 1.1742324829101562, 1.1686010360717773, 1.1629745960235596, 1.1573824882507324, 1.1518142223358154, 1.1462655067443848, 1.1407408714294434, 1.135240077972412, 1.1297616958618164, 1.1243085861206055, 1.1188805103302002, 1.1134741306304932, 1.1080961227416992, 1.1027400493621826, 1.0975775718688965, 1.0922775268554688, 1.0870039463043213, 1.0817525386810303, 1.076528787612915, 1.0713298320770264, 1.0661578178405762, 1.0610120296478271, 1.0558946132659912, 1.05080246925354, 1.0457406044006348, 1.0407061576843262, 1.035701036453247, 1.0307230949401855, 1.0257744789123535, 1.0208542346954346, 1.0153534412384033, 1.0104880332946777, 1.0056471824645996, 1.0008318424224854, 0.9960431456565857, 0.991279661655426, 0.9865429997444153, 0.9818313717842102, 0.9769182801246643, 0.9722601771354675, 0.9676247239112854, 0.9630119204521179, 0.9584245085716248, 0.9538614153862, 0.9493229985237122, 0.9448058009147644, 0.940312922000885, 0.9358420968055725, 0.9310449957847595, 0.9266100525856018, 0.9221987128257751, 0.9178088307380676, 0.9134432673454285, 0.9090991616249084, 0.9047772288322449, 0.9004773497581482, 0.8961986899375916, 0.8919437527656555, 0.8878632187843323, 0.8836564421653748, 0.8794702887535095, 0.8753103613853455, 0.8711737990379333, 0.8670219779014587, 0.8629348874092102, 0.8588740229606628, 0.8548391461372375, 0.8508300185203552, 0.8468466401100159, 0.8428907990455627, 0.8389621376991272, 0.8350589871406555, 0.8311838507652283, 0.8273361325263977, 0.8235176205635071, 0.8197271227836609, 0.8159634470939636, 0.812227189540863, 0.8085214495658875, 0.8048433661460876, 0.8011905550956726, 0.7969409823417664, 0.793343722820282, 0.7897736430168152, 0.7862294316291809, 0.7827139496803284, 0.7792221903800964, 0.7757572531700134, 0.7723202109336853, 0.7689059376716614, 0.7654419541358948, 0.7620789408683777, 0.7587012648582458, 0.7553879618644714, 0.7520988583564758, 0.7488362193107605, 0.7455968260765076, 0.7423843741416931, 0.7391950488090515, 0.7360295653343201, 0.7328917384147644, 0.7297771573066711, 0.726688802242279, 0.7236230969429016, 0.7205825448036194, 0.7174628376960754, 0.7144731879234314, 0.7115086913108826, 0.7086367011070251, 0.7057191729545593, 0.7028258442878723, 0.6999576687812805, 0.6971152424812317, 0.6944288611412048, 0.691634476184845, 0.688864529132843, 0.686210572719574, 0.6834819912910461, 0.6808491349220276, 0.6781706213951111, 0.6757081151008606, 0.6730827689170837, 0.6704805493354797, 0.6679022908210754, 0.6653485894203186, 0.662817656993866, 0.6603098511695862, 0.6578263640403748, 0.6553654074668884, 0.6529276967048645, 0.6505125164985657, 0.648121178150177, 0.6457505822181702, 0.6434018015861511, 0.641074001789093, 0.6387669444084167, 0.6364812254905701, 0.6341204047203064, 0.63187175989151, 0.6296451687812805, 0.6274388432502747, 0.625248372554779, 0.6230825781822205, 0.6209363341331482, 0.61881023645401, 0.616705596446991, 0.6146203875541687, 0.6125544905662537, 0.6105087399482727, 0.6084826588630676, 0.6064755320549011, 0.6044898629188538, 0.6027136445045471, 0.600763738155365, 0.5988340973854065, 0.5969240069389343, 0.5951085686683655, 0.5932380557060242, 0.5913857817649841, 0.5895547270774841, 0.5877416729927063, 0.5859499573707581, 0.5841764807701111, 0.5824225544929504, 0.5807233452796936, 0.5790109038352966, 0.5773178935050964, 0.5756440758705139, 0.5739886164665222, 0.5723521113395691, 0.5707342028617859, 0.569134533405304, 0.5675545334815979, 0.5659914612770081, 0.5644469857215881, 0.5629199147224426, 0.5614102482795715, 0.5593053698539734, 0.5578283667564392, 0.5562892556190491, 0.5548469424247742, 0.5534188151359558, 0.552007257938385, 0.5506113171577454, 0.5494087338447571, 0.5480412840843201, 0.54668790102005, 0.5453492999076843, 0.5440247654914856, 0.5427138209342957, 0.5414170622825623, 0.5401327013969421, 0.5388609766960144, 0.5377189517021179, 0.5364711880683899, 0.5352360606193542, 0.5340136885643005, 0.5328035950660706, 0.531606137752533, 0.5304194092750549, 0.5292466282844543, 0.5280848145484924, 0.5269338488578796, 0.5257959961891174, 0.5258434414863586, 0.524736225605011, 0.5236408114433289, 0.522556722164154, 0.5214847922325134, 0.5204243063926697, 0.5193739533424377, 0.5182264447212219, 0.517198383808136, 0.5161824822425842, 0.5151771903038025, 0.514182984828949, 0.5132021307945251, 0.5122291445732117, 0.5112370848655701, 0.5102874636650085], forces=[(-0.005331424996256828, -0.0003395036910660565, -0.016296755522489548), (-0.019339071586728096, 0.017721552401781082, 0.0021561721805483103), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00847725011408329, 0.002174323657527566, 0.0004989846493117511), (-0.02626870572566986, -0.009045835584402084, 0.016609173268079758), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0018107380019500852, 0.00348577625118196, -0.026556961238384247), (-0.0029142568819224834, -0.004223999101668596, -0.009086044505238533), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0015055978437885642, 0.0004000500775873661, -0.016397982835769653), (-0.006098294164985418, -0.01204525027424097, -0.01359615009278059), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010859008878469467, 0.012660407461225986, 0.007213974371552467), (-0.004959798417985439, -0.007649489678442478, 0.0017170975916087627), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009483978152275085, 0.002724317368119955, -0.017848333343863487), (-0.005109221674501896, -0.00599817605689168, -0.012751495465636253), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004351378884166479, -0.0016979641513898969, -0.012656636536121368), (0.005348671227693558, 0.02350289188325405, -0.0030143847689032555), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009560385718941689, 0.014391843229532242, 0.016838438808918), (0.031890351325273514, 0.01502323616296053, 0.10269147902727127), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008169049397110939, -0.016410229727625847, 0.009703210555016994), (-0.010336956940591335, -0.0022653962951153517, -0.014132755808532238), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.025778062641620636, 0.17341530323028564, 0.08359279483556747), (0.17245414853096008, 0.11458605527877808, -0.020800061523914337)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=31, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8222873210906982, 0.02782975696027279, 16.8989200592041), (1.4007023572921753, 1.4166938066482544, 18.861278533935547), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7866203784942627, 2.866107225418091, 16.968536376953125), (1.4734361171722412, 4.285182476043701, 19.019851684570312), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.7995548248291016, 5.649320602416992, 16.930830001831055), (1.4153716564178467, 7.114390850067139, 18.83694839477539), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.626457691192627, 0.029818765819072723, 16.89512825012207), (4.21698522567749, 1.4155309200286865, 18.861326217651367), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.647140979766846, 2.8665850162506104, 16.964431762695312), (4.192737102508545, 4.266234397888184, 18.894521713256836), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.632781505584717, 5.650716304779053, 16.925762176513672), (4.220102787017822, 7.0889058113098145, 18.85132598876953), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.459637641906738, 0.021278629079461098, 16.90557098388672), (7.037529468536377, 1.411887764930725, 18.85590934753418), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.453503608703613, 2.859060525894165, 16.966672897338867), (6.891194820404053, 4.250641345977783, 19.002988815307617), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.449235916137695, 5.6356329917907715, 16.958242416381836), (7.0219902992248535, 7.116286277770996, 18.827266693115234), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (8.375309944152832, 4.50059175491333, 20.489709854125977), (8.322009086608887, 5.471944808959961, 20.667179107666016)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4594805836677551, energy_trajectory=[1.6433393955230713, 1.6283609867095947, 1.6162290573120117, 1.605696439743042, 1.5957601070404053, 1.5862665176391602, 1.5770254135131836, 1.5682408809661865, 1.559880256652832, 1.552232027053833, 1.544358253479004, 1.5361006259918213, 1.5287652015686035, 1.5215346813201904, 1.5143957138061523, 1.5076713562011719, 1.5006470680236816, 1.4937412738800049, 1.4870171546936035, 1.4804394245147705, 1.4737930297851562, 1.4672796726226807, 1.4608538150787354, 1.454474925994873, 1.4481377601623535, 1.441894769668579, 1.4355990886688232, 1.4292316436767578, 1.4231278896331787, 1.416928768157959, 1.4107539653778076, 1.4046034812927246, 1.3984692096710205, 1.3923542499542236, 1.3862524032592773, 1.380164623260498, 1.3740952014923096, 1.3680357933044434, 1.361987829208374, 1.3559324741363525, 1.349907398223877, 1.3438940048217773, 1.3378899097442627, 1.331925630569458, 1.3260300159454346, 1.3200421333312988, 1.314072608947754, 1.3082261085510254, 1.3022544384002686, 1.2962548732757568, 1.2902123928070068, 1.2839381694793701, 1.277970790863037, 1.2720351219177246, 1.2660646438598633, 1.2599849700927734, 1.2540204524993896, 1.247988224029541, 1.242032527923584, 1.2360799312591553, 1.2301335334777832, 1.224226951599121, 1.2182896137237549, 1.2123644351959229, 1.2063539028167725, 1.2004470825195312, 1.1945505142211914, 1.188668966293335, 1.182798147201538, 1.1769459247589111, 1.171107530593872, 1.1652894020080566, 1.1594746112823486, 1.1536948680877686, 1.1479361057281494, 1.142199993133545, 1.136484146118164, 1.1307940483093262, 1.1251285076141357, 1.119450569152832, 1.1137676239013672, 1.1081795692443848, 1.102618932723999, 1.097085952758789, 1.0915794372558594, 1.0860991477966309, 1.0805838108062744, 1.075165033340454, 1.0697753429412842, 1.0644152164459229, 1.0590903759002686, 1.0539462566375732, 1.0489845275878906, 1.0437538623809814, 1.0385730266571045, 1.0334317684173584, 1.028329610824585, 1.0232667922973633, 1.0187408924102783, 1.0137720108032227, 1.0088410377502441, 1.0040688514709473, 0.9992100596427917, 0.9943913817405701, 0.9893363118171692, 0.9845874905586243, 0.9798709750175476, 0.9751861691474915, 0.9705333113670349, 0.9659110903739929, 0.9613185524940491, 0.9567827582359314, 0.9522493481636047, 0.9477434754371643, 0.9432639479637146, 0.9388086199760437, 0.9343810677528381, 0.9298122525215149, 0.92542964220047, 0.9210702776908875, 0.9167346358299255, 0.9124200940132141, 0.9085549712181091, 0.9042970538139343, 0.9000632166862488, 0.8958515524864197, 0.8914650082588196, 0.8872844576835632, 0.8831294178962708, 0.8789975047111511, 0.8748864531517029, 0.8707975745201111, 0.8666743636131287, 0.8626289963722229, 0.8586029410362244, 0.8545969128608704, 0.8506107926368713, 0.8466420769691467, 0.8426932692527771, 0.8387616276741028, 0.8348494172096252, 0.8310981392860413, 0.8272175192832947, 0.8233558535575867, 0.8193643689155579, 0.8155383467674255, 0.8117310404777527, 0.807941734790802, 0.8041688799858093, 0.8006498217582703, 0.7969087958335876, 0.7931856513023376, 0.7894797921180725, 0.7857902646064758, 0.7821183800697327, 0.7784639000892639, 0.7748273015022278, 0.7707175612449646, 0.7671158909797668, 0.7635334134101868, 0.7597706913948059, 0.7562209963798523, 0.7526865601539612, 0.7491711974143982, 0.7456697821617126, 0.7421858906745911, 0.7387173771858215, 0.735264241695404, 0.7318280339241028, 0.7284114956855774, 0.7250122427940369, 0.7216333746910095, 0.7182738184928894, 0.7149321436882019, 0.7116507887840271, 0.70834881067276, 0.7050634026527405, 0.7017970681190491, 0.6985493302345276, 0.6953216195106506, 0.692112386226654, 0.6889217495918274, 0.6857492327690125, 0.6825404763221741, 0.6794096827507019, 0.6762987971305847, 0.6732080578804016, 0.6701374650001526, 0.6670863032341003, 0.6640577912330627, 0.6610557436943054, 0.6580743193626404, 0.6551132798194885, 0.6521525979042053, 0.6492367386817932, 0.6463448405265808, 0.6434759497642517, 0.6406323313713074, 0.6378107666969299, 0.6350147128105164, 0.6322420239448547, 0.6294929385185242, 0.6272440552711487, 0.6245467066764832, 0.6218721270561218, 0.6192225813865662, 0.6165966391563416, 0.6139952540397644, 0.6114166378974915, 0.6088617444038391, 0.6063300967216492, 0.6038216948509216, 0.6013359427452087, 0.5988728404045105, 0.5964319109916687, 0.5940122008323669, 0.591643750667572, 0.5892677903175354, 0.5869138836860657, 0.5845813155174255, 0.5822697281837463, 0.5799794793128967, 0.5777106881141663, 0.5754616856575012, 0.5732343792915344, 0.5709760785102844, 0.5687879920005798, 0.5666210055351257, 0.5644754767417908, 0.5623510479927063, 0.5600813031196594, 0.5579964518547058, 0.5561152100563049, 0.5540722012519836, 0.5520495772361755, 0.5500491261482239, 0.5480684638023376, 0.546110212802887, 0.5441349148750305, 0.5422162413597107, 0.5403198599815369, 0.5384443402290344, 0.5358147025108337, 0.5339518189430237, 0.5321080088615417, 0.5302849411964417, 0.5284821391105652, 0.5267000794410706, 0.5249382853507996, 0.5231965184211731, 0.5214758515357971, 0.5195526480674744, 0.5178734660148621, 0.5162138342857361, 0.5145741105079651, 0.5129533410072327, 0.5117238163948059, 0.510139524936676, 0.5085752606391907, 0.5070307850837708, 0.5055057406425476, 0.5040002465248108, 0.5025141835212708, 0.5010464787483215, 0.4995989203453064, 0.49812227487564087, 0.496709406375885, 0.4953151345252991, 0.49393969774246216, 0.49258261919021606, 0.4912448525428772, 0.4899246096611023, 0.4886229634284973, 0.48733919858932495, 0.486072838306427, 0.48439401388168335, 0.4831644892692566, 0.48195022344589233, 0.48068517446517944, 0.47984522581100464, 0.47868233919143677, 0.47753649950027466, 0.4759675860404968, 0.4748538136482239, 0.47380250692367554, 0.4727213978767395, 0.47165578603744507, 0.4706042408943176, 0.4695705771446228, 0.46855098009109497, 0.46754735708236694, 0.46655815839767456, 0.4655836224555969, 0.4646236300468445, 0.4636790156364441, 0.4630630612373352, 0.46214765310287476, 0.4612453579902649, 0.4603559374809265, 0.4594805836677551], forces=[(-0.005286854691803455, -0.005375929642468691, -0.0033506418112665415), (-0.0007518772617913783, -0.0024193059653043747, -0.00446076737716794), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0077666291035711765, -0.014172445051372051, -0.03160730376839638), (0.04041965305805206, -0.0321967676281929, -0.04441490396857262), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0029496566858142614, 0.0007863451610319316, -0.0028147264383733273), (-0.016685711219906807, -0.02133876644074917, 0.01659356616437435), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0014605129836127162, -0.01369389332830906, -0.0018604131182655692), (-0.003394060069695115, 0.004969114903360605, 0.002734984504058957), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.030235551297664642, -0.02718948759138584, -0.04476238787174225), (0.008129680529236794, -0.0025494014844298363, -3.1122759537538514e-05), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0007022966747172177, -0.007764880079776049, 0.007319326978176832), (-0.0016163786640390754, 0.007341848686337471, 0.002542348112910986), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007661729119718075, -0.0071180216036736965, 0.0011206766357645392), (-0.01422534417361021, -0.0030112331733107567, -0.003366410266608), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007222198415547609, -0.0010120231891050935, -0.010155794210731983), (0.012263443320989609, -0.024864807724952698, -0.038568153977394104), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0012482035672292113, -0.004711887799203396, -0.001331791398115456), (0.010701683349907398, -0.04230412840843201, 0.02576916664838791), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.048448022454977036, -0.10447683930397034, -0.08744412660598755), (0.1308666616678238, -0.16081060469150543, 0.009663942269980907)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=32, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.819164514541626, -0.019643176347017288, 16.939645767211914), (1.4300169944763184, 1.4380570650100708, 18.86707878112793), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8250465393066406, 2.8194918632507324, 16.905542373657227), (1.414673924446106, 4.209654331207275, 18.842741012573242), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.809875011444092, 5.6627302169799805, 16.950838088989258), (1.5117367506027222, 7.158003330230713, 19.121871948242188), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.664033889770508, 0.0007115555927157402, 16.90401840209961), (4.253650188446045, 1.4220701456069946, 18.845409393310547), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.647948265075684, 2.818878412246704, 16.900354385375977), (4.242746353149414, 4.223811626434326, 18.839632034301758), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.655071258544922, 5.64099645614624, 16.90801239013672), (4.2948317527771, 7.063584327697754, 18.84517478942871), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.512371063232422, -0.03893548250198364, 16.972936630249023), (7.055274963378906, 1.4103156328201294, 18.848709106445312), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.466726303100586, 2.8096749782562256, 16.90933609008789), (7.052516460418701, 4.219423770904541, 18.843976974487305), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.493093490600586, 5.65537166595459, 16.954782485961914), (7.0670390129089355, 7.046505928039551, 18.86114501953125), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.618288278579712, 6.781917572021484, 21.073755264282227), (1.9819340705871582, 7.581610202789307, 21.510417938232422)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8954126238822937, energy_trajectory=[1.1634576320648193, 1.1519174575805664, 1.1434476375579834, 1.1351006031036377, 1.1268813610076904, 1.1187353134155273, 1.1106781959533691, 1.1027543544769287, 1.0947978496551514, 1.0869967937469482, 1.0793638229370117, 1.0718882083892822, 1.0644912719726562, 1.0569512844085693, 1.049544334411621, 1.0425975322723389, 1.035806655883789, 1.0286436080932617, 1.0217163562774658, 1.0150089263916016, 1.0084095001220703, 1.0019176006317139, 0.9954383969306946, 0.9891846776008606, 0.9829415678977966, 0.9768945574760437, 0.9709027409553528, 0.9651954770088196, 0.9595207571983337, 0.9539489150047302, 0.9485072493553162, 0.9432907700538635, 0.9382042288780212, 0.9333156943321228, 0.9287760853767395, 0.9243684411048889, 0.9202243685722351, 0.9161093831062317, 0.912325918674469, 0.90871661901474, 0.9052709937095642, 0.9019894003868103, 0.8987744450569153, 0.8958249688148499, 0.8930359482765198, 0.8906493782997131, 0.8882282376289368, 0.8860594630241394, 0.8840429186820984, 0.8822037577629089, 0.8805690407752991, 0.8791194558143616, 0.8778347373008728, 0.8766756653785706, 0.8756038546562195, 0.8745903372764587, 0.8735737204551697, 0.8732954859733582, 0.8721570372581482, 0.8712461590766907, 0.8702707886695862, 0.8694115281105042, 0.8686204552650452, 0.8679072260856628, 0.8673624396324158, 0.8669959902763367, 0.8667251467704773, 0.8667667508125305, 0.8669148087501526, 0.8672322630882263, 0.8677147030830383, 0.8682958483695984, 0.8689544796943665, 0.8666290640830994, 0.8673877120018005, 0.8681815266609192, 0.8689984679222107, 0.8697047829627991, 0.8705452084541321, 0.8713312745094299, 0.8721718192100525, 0.8730080723762512, 0.8739122748374939, 0.8747312426567078, 0.875539243221283, 0.876085102558136, 0.8768623471260071, 0.8776223063468933, 0.8783673644065857, 0.879093587398529, 0.8798018097877502, 0.8805683255195618, 0.8813983798027039, 0.8820578455924988, 0.8828344941139221, 0.8834581971168518, 0.8840650916099548, 0.884654700756073, 0.885227620601654, 0.8857854008674622, 0.8863251805305481, 0.8868498206138611, 0.8873613476753235, 0.8878571391105652, 0.888340175151825, 0.8888091444969177, 0.8892640471458435, 0.8927000164985657, 0.893133819103241, 0.8935489058494568, 0.8939597010612488, 0.8943580985069275, 0.8947432637214661, 0.8951236605644226, 0.8954982161521912, 0.8958541750907898, 0.8961995244026184, 0.8965354561805725, 0.8968634009361267, 0.8971815705299377, 0.897491991519928, 0.8977914452552795, 0.8980852961540222, 0.8983704447746277, 0.898648202419281, 0.8987872004508972, 0.8990494608879089, 0.899304211139679, 0.8995539546012878, 0.8997945189476013, 0.900029718875885, 0.9002602696418762, 0.9002841114997864, 0.9005017876625061, 0.9007099270820618, 0.9009132981300354, 0.9011086821556091, 0.9012976288795471, 0.901478111743927, 0.901652991771698, 0.9018226265907288, 0.9019837975502014, 0.9021397233009338, 0.90228670835495, 0.902428925037384, 0.9025654196739197, 0.9028728604316711, 0.9029951691627502, 0.9031075835227966, 0.9032158255577087, 0.9033164381980896, 0.903412401676178, 0.9033189415931702, 0.9034051299095154, 0.9034846425056458, 0.903558075428009, 0.9036282896995544, 0.9036919474601746, 0.9037519097328186, 0.9038069844245911, 0.9038563370704651, 0.9039036631584167, 0.9039456248283386, 0.9036102890968323, 0.9036456942558289, 0.9036782383918762, 0.9037054181098938, 0.9037298560142517, 0.9037510752677917, 0.9037677645683289, 0.9037806391716003, 0.9015989899635315, 0.9014659523963928, 0.901472270488739, 0.90147465467453, 0.9014706015586853, 0.9014620184898376, 0.9010140299797058, 0.9009982943534851, 0.900974452495575, 0.9009442925453186, 0.9009090065956116, 0.9008315205574036, 0.9007856249809265, 0.9007317423820496, 0.9006732106208801, 0.9006080031394958, 0.9005380272865295, 0.9004582762718201, 0.903001606464386, 0.902925431728363, 0.9028447270393372, 0.9027584195137024, 0.9026071429252625, 0.9025062918663025, 0.9023986458778381, 0.9022838473320007, 0.9021375775337219, 0.902007520198822, 0.9018730521202087, 0.9019380211830139, 0.9017903208732605, 0.9016373753547668, 0.9014796614646912, 0.9013158679008484, 0.9011253714561462, 0.9009515643119812, 0.9007739424705505, 0.9005904793739319, 0.9004043936729431, 0.9002147316932678, 0.900023877620697, 0.8999819159507751, 0.8997969031333923, 0.8996105790138245, 0.8994234204292297, 0.8992324471473694, 0.8981130719184875, 0.8979231715202332, 0.8977312445640564, 0.8975643515586853, 0.8973715901374817, 0.8971777558326721, 0.8970986008644104, 0.8971399664878845, 0.8969473242759705, 0.896756112575531, 0.8965644240379333, 0.8963713049888611, 0.8961769938468933, 0.8959848284721375, 0.8957918286323547, 0.8956003785133362, 0.8954091668128967, 0.8952186703681946, 0.8950302004814148, 0.8948429226875305, 0.894655168056488, 0.8944700360298157, 0.8942870497703552, 0.8941056132316589, 0.8939256072044373, 0.893748939037323, 0.8935790657997131, 0.8934099078178406, 0.89324551820755, 0.8930860161781311, 0.8929312825202942, 0.8927673697471619, 0.8922975659370422, 0.8921598792076111, 0.8919429183006287, 0.8918200135231018, 0.8917023539543152, 0.8915935158729553, 0.8914926648139954, 0.8914006352424622, 0.8929913640022278, 0.8930371403694153, 0.8929929137229919, 0.8930545449256897, 0.8930291533470154, 0.8930104374885559, 0.8930007815361023, 0.8929995894432068, 0.8930057883262634, 0.8918914198875427, 0.8919029831886292, 0.8919358849525452, 0.8919771313667297, 0.8920263648033142, 0.8920816779136658, 0.8921461701393127, 0.8922160267829895, 0.8922925591468811, 0.8923761248588562, 0.8924657702445984, 0.8925585150718689, 0.8927696347236633, 0.8928738236427307, 0.8929817080497742, 0.8930942416191101, 0.8930152058601379, 0.8931339383125305, 0.8932539820671082, 0.8933765292167664, 0.8935026526451111, 0.8936267495155334, 0.8937544226646423, 0.8939327597618103, 0.8940590023994446, 0.8941846489906311, 0.8943104147911072, 0.8944355845451355, 0.8945589661598206, 0.8947799801826477, 0.8950203061103821, 0.8951528668403625, 0.8952811360359192, 0.8954126238822937], forces=[(-0.008599376305937767, 0.0012761198449879885, 0.027176667004823685), (0.0020478495862334967, 0.02214333601295948, -0.015145734883844852), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.013401200994849205, 0.005056947469711304, 0.001892009866423905), (0.008232032880187035, -0.0071575273759663105, -0.013604147359728813), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00763237290084362, 0.009820453822612762, 0.023489974439144135), (-0.10173410177230835, -0.05306491255760193, 0.0054938904941082), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007318834774196148, 0.008123325183987617, 0.008750822395086288), (0.005572442431002855, 0.00437365984544158, 0.014344013296067715), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0024080590810626745, 0.0025275074876844883, 0.016652079299092293), (0.014882686547935009, -0.0002751160354819149, 0.01413206197321415), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003436715342104435, -0.004527478013187647, 0.0061209844425320625), (-0.01712556555867195, -0.0003924482152797282, -0.003014944028109312), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0023851385340094566, 0.0072665647603571415, 0.010374427773058414), (0.0028320164419710636, 0.015976162627339363, 0.012526297941803932), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0039251381531357765, 0.00687195872887969, 2.773929554678034e-05), (0.005542738828808069, 0.0025717965327203274, 0.01513180322945118), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00019881935440935194, 0.0013341866433620453, 0.005160293076187372), (-0.018871242180466652, 0.007782503962516785, -0.017655011266469955), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.07609535753726959, 0.06966708600521088, -0.06721486896276474), (-0.01708902418613434, -0.021252280101180077, -0.07000914961099625)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=33, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.853463888168335, 0.03048611804842949, 16.95928955078125), (1.4050203561782837, 1.4126179218292236, 18.83987808227539), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8366618156433105, 2.804574728012085, 16.93597984313965), (1.3941727876663208, 4.235438346862793, 18.831960678100586), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.818174362182617, 5.647075176239014, 16.898927688598633), (1.4011234045028687, 7.041845321655273, 18.83440589904785), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.617555618286133, 0.022277923300862312, 16.959272384643555), (4.225397109985352, 1.4258184432983398, 19.146102905273438), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.611639499664307, 2.790201425552368, 16.95711326599121), (4.217813968658447, 4.255110740661621, 18.83730697631836), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.639474868774414, 5.641443252563477, 16.902257919311523), (4.229118824005127, 7.034921169281006, 18.851652145385742), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.463944435119629, -0.003908523824065924, 16.902565002441406), (7.077938556671143, 1.3995532989501953, 18.846723556518555), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.457174301147461, 2.816743850708008, 16.900327682495117), (7.056179046630859, 4.230782985687256, 18.833797454833984), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.459858894348145, 5.639401435852051, 16.89299774169922), (7.060948371887207, 7.033555030822754, 18.837472915649414), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.266690731048584, 1.5727726221084595, 21.128612518310547), (3.4229021072387695, 1.981148362159729, 21.41701316833496)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8714608550071716, energy_trajectory=[1.2305223941802979, 1.2196030616760254, 1.2092630863189697, 1.1990339756011963, 1.1889619827270508, 1.1789309978485107, 1.1691153049468994, 1.1593761444091797, 1.1496837139129639, 1.140059232711792, 1.1306583881378174, 1.1211562156677246, 1.111623764038086, 1.1023428440093994, 1.0933113098144531, 1.083954095840454, 1.0745105743408203, 1.0651812553405762, 1.0562782287597656, 1.0479207038879395, 1.0399835109710693, 1.0324468612670898, 1.025244951248169, 1.018338680267334, 1.0117168426513672, 1.0058565139770508, 0.9997414946556091, 0.9938430190086365, 0.9881864190101624, 0.9825525879859924, 0.977314293384552, 0.9722722172737122, 0.9674494862556458, 0.9627845883369446, 0.9582874178886414, 0.9539751410484314, 0.9496685862541199, 0.9456230998039246, 0.9418057799339294, 0.9379326701164246, 0.9344235062599182, 0.9310609698295593, 0.9279883503913879, 0.9249058365821838, 0.9219599366188049, 0.9191491007804871, 0.9163720011711121, 0.9139271378517151, 0.9114685654640198, 0.9091841578483582, 0.9070360064506531, 0.9050289988517761, 0.9031664729118347, 0.9014540314674377, 0.8998791575431824, 0.8984645009040833, 0.8971797823905945, 0.8960124850273132, 0.8949361443519592, 0.8939312100410461, 0.8929783701896667, 0.8920664191246033, 0.891120970249176, 0.8900863528251648, 0.889273464679718, 0.8885001540184021, 0.887772262096405, 0.886997640132904, 0.8863882422447205, 0.8858497738838196, 0.8853947520256042, 0.8850277066230774, 0.8847504258155823, 0.8845816254615784, 0.8844695687294006, 0.8844320178031921, 0.8844606280326843, 0.8845433592796326, 0.8846732974052429, 0.8824651837348938, 0.8826575875282288, 0.8829132914543152, 0.8831533789634705, 0.8834137320518494, 0.8836901783943176, 0.8838678002357483, 0.8841684460639954, 0.8844776749610901, 0.8847516179084778, 0.8850952982902527, 0.8855598568916321, 0.8857893347740173, 0.8861204981803894, 0.8864522576332092, 0.8867842555046082, 0.8871158957481384, 0.8874431252479553, 0.8877678513526917, 0.8880890011787415, 0.8884044289588928, 0.888713538646698, 0.8890148997306824, 0.8893114924430847, 0.8895992636680603, 0.8898782134056091, 0.8901488184928894, 0.8904114365577698, 0.8907626271247864, 0.8910072445869446, 0.8910197615623474, 0.8912513852119446, 0.8914746642112732, 0.8916907906532288, 0.8918991684913635, 0.8921005129814148, 0.8922105431556702, 0.8924002051353455, 0.8923497796058655, 0.8925254940986633, 0.8926975131034851, 0.8928654789924622, 0.8930298686027527, 0.8930957913398743, 0.8932490944862366, 0.8934009671211243, 0.8935480713844299, 0.8936908841133118, 0.8938867449760437, 0.8940263390541077, 0.8941649794578552, 0.8943007588386536, 0.8944359421730042, 0.8945668339729309, 0.8946952223777771, 0.8948234915733337, 0.8949491381645203, 0.8950740694999695, 0.8951959013938904, 0.8953154683113098, 0.8954320549964905, 0.8955481648445129, 0.8956618905067444, 0.8957719206809998, 0.8958809971809387, 0.895983874797821, 0.8960850834846497, 0.8961827158927917, 0.8985008597373962, 0.8986123204231262, 0.8987125754356384, 0.8988057971000671, 0.8984965682029724, 0.8985792994499207, 0.8986552357673645, 0.898724377155304, 0.8987863659858704, 0.8988426327705383, 0.8990002274513245, 0.8990405201911926, 0.8989128470420837, 0.8989359736442566, 0.8989512324333191, 0.8989589810371399, 0.8989593386650085, 0.8989508748054504, 0.8989331126213074, 0.8990125060081482, 0.8989772200584412, 0.898933470249176, 0.8988825678825378, 0.8988205790519714, 0.898753821849823, 0.898677408695221, 0.8985909819602966, 0.8984392285346985, 0.8983352780342102, 0.8983421921730042, 0.8982227444648743, 0.898093044757843, 0.8979558348655701, 0.8978114724159241, 0.8976576924324036, 0.8974947333335876, 0.8973230719566345, 0.897143542766571, 0.8969566226005554, 0.8967611193656921, 0.8965583443641663, 0.8963455557823181, 0.8967518210411072, 0.8965298533439636, 0.8962982296943665, 0.8960593342781067, 0.8955612778663635, 0.8953049778938293, 0.8950410485267639, 0.8947684168815613, 0.8944888710975647, 0.894203245639801, 0.8939099907875061, 0.8936113715171814, 0.893443763256073, 0.8931323885917664, 0.8928148150444031, 0.8924922347068787, 0.8921647667884827, 0.8918293118476868, 0.8914914727210999, 0.8910725712776184, 0.8907261490821838, 0.8903735280036926, 0.8900182843208313, 0.8896620869636536, 0.8891938328742981, 0.8888301253318787, 0.8884682059288025, 0.8880994915962219, 0.8877314925193787, 0.8873611092567444, 0.8865917325019836, 0.886224091053009, 0.8858547806739807, 0.8855010867118835, 0.8851292729377747, 0.8847590088844299, 0.8843904137611389, 0.8840215802192688, 0.8853067755699158, 0.8849490284919739, 0.884596049785614, 0.8842417597770691, 0.8837551474571228, 0.8834044337272644, 0.883058488368988, 0.8827133774757385, 0.8823712468147278, 0.8820338845252991, 0.88169926404953, 0.881497323513031, 0.88116854429245, 0.8808426260948181, 0.8805187344551086, 0.8802010416984558, 0.8798083662986755, 0.8794950842857361, 0.8791877627372742, 0.878883421421051, 0.878582775592804, 0.8782867789268494, 0.8779961466789246, 0.8777082562446594, 0.8774251341819763, 0.8771489262580872, 0.8768742680549622, 0.875934898853302, 0.8757346272468567, 0.8754907250404358, 0.8752521872520447, 0.8750740885734558, 0.8748490214347839, 0.8746309876441956, 0.8744201064109802, 0.8742164969444275, 0.8738759160041809, 0.8736893534660339, 0.8735089898109436, 0.8733367323875427, 0.8731740117073059, 0.8730170130729675, 0.8728674054145813, 0.8727244734764099, 0.8725906014442444, 0.8724631667137146, 0.8723443150520325, 0.8719494938850403, 0.8718425631523132, 0.8717427849769592, 0.8715700507164001, 0.8719704747200012, 0.8718991875648499, 0.8718326687812805, 0.8717741370201111, 0.8717197775840759, 0.8716073632240295, 0.8715627789497375, 0.8715236783027649, 0.8714891076087952, 0.8714596629142761, 0.87130206823349, 0.8712779879570007, 0.8714895844459534, 0.871478259563446, 0.8714695572853088, 0.8714630007743835, 0.8714599013328552, 0.8714600205421448, 0.871460497379303, 0.871464192867279, 0.8714545369148254, 0.8714608550071716], forces=[(-0.006179816089570522, -0.0028961901552975178, 0.012771517969667912), (-0.025209903717041016, 0.005809960886836052, 0.020180784165859222), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0031078236643224955, 0.007657228037714958, 0.02411656267940998), (0.008528897538781166, 0.00649277726188302, 0.04425594583153725), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004389244131743908, 0.002216080902144313, 0.028764309361577034), (-0.0005982135771773756, 0.005002813413739204, 0.040152568370103836), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009357486851513386, -0.004003602545708418, 0.0013586829882115126), (-0.013668487779796124, -0.02792886458337307, -0.03754919767379761), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004991651512682438, 0.0101120974868536, 0.015335150994360447), (0.009488815441727638, 0.008505281992256641, 0.016253696754574776), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0069290585815906525, 0.004332785494625568, 0.022727536037564278), (0.00353556452319026, -0.002140781609341502, 0.010517137125134468), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0034948040265589952, -0.001998757943511009, 0.025686774402856827), (-0.0026865280233323574, 0.010040268301963806, 0.010249488055706024), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0070032053627073765, 0.010018994100391865, 0.026761723682284355), (0.004786632023751736, 0.0110213253647089, 0.036271095275878906), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0049658059142529964, 0.002360417740419507, 0.036595605313777924), (-0.00026714979321695864, 0.013798206113278866, 0.038172509521245956), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0063348449766635895, -0.04560009762644768, -0.13881897926330566), (0.019167844206094742, -0.013614351861178875, -0.05570242553949356)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=34, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8106210231781006, -0.0028984546661376953, 16.92116355895996), (1.4220640659332275, 1.4654910564422607, 18.872011184692383), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8161256313323975, 2.838067054748535, 16.917001724243164), (1.4402496814727783, 4.181172847747803, 18.987436294555664), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.796727418899536, 5.653031826019287, 16.9614200592041), (1.41469407081604, 7.257295608520508, 19.005083084106445), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.656459808349609, 0.013487267307937145, 16.881237030029297), (4.25316047668457, 1.4215601682662964, 18.830324172973633), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.653197288513184, 2.8194408416748047, 16.88594627380371), (4.26721715927124, 4.224031925201416, 18.823932647705078), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.650335311889648, 5.641244888305664, 16.89335823059082), (4.270365238189697, 7.07907772064209, 18.805950164794922), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.493636131286621, -0.012120994739234447, 16.94239616394043), (7.043430805206299, 1.4242125749588013, 18.83773422241211), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.48666000366211, 2.8386361598968506, 16.93008041381836), (7.045226097106934, 4.228670597076416, 18.834800720214844), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.494917869567871, 5.647667407989502, 16.961200714111328), (7.031550884246826, 7.0674238204956055, 18.82527732849121), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.4497367143630981, 6.022809982299805, 20.634502410888672), (2.3465402126312256, 6.12353515625, 21.03527069091797)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.6261380314826965, energy_trajectory=[1.525660753250122, 1.512005090713501, 1.5009355545043945, 1.4901924133300781, 1.4793989658355713, 1.468651294708252, 1.4585607051849365, 1.4490227699279785, 1.4401195049285889, 1.4311532974243164, 1.4226515293121338, 1.4144763946533203, 1.4063847064971924, 1.398555040359497, 1.390882968902588, 1.383462905883789, 1.375972032546997, 1.3686614036560059, 1.3615131378173828, 1.3544800281524658, 1.3475470542907715, 1.3408787250518799, 1.334151029586792, 1.3275227546691895, 1.3209967613220215, 1.3145647048950195, 1.3079707622528076, 1.3017070293426514, 1.2955434322357178, 1.289447546005249, 1.2834548950195312, 1.2775416374206543, 1.2717154026031494, 1.2659704685211182, 1.2603051662445068, 1.2547202110290527, 1.2492156028747559, 1.2437825202941895, 1.2385141849517822, 1.2332546710968018, 1.2280454635620117, 1.2229077816009521, 1.217841625213623, 1.2128469944000244, 1.2079167366027832, 1.2030534744262695, 1.1981589794158936, 1.1934232711791992, 1.1887495517730713, 1.1841366291046143, 1.1795809268951416, 1.17498779296875, 1.1705491542816162, 1.166154384613037, 1.1618359088897705, 1.157844066619873, 1.1536471843719482, 1.1495156288146973, 1.14544677734375, 1.1414399147033691, 1.1374928951263428, 1.133584976196289, 1.1297478675842285, 1.125962734222412, 1.1222245693206787, 1.1185314655303955, 1.1148788928985596, 1.111264705657959, 1.1076862812042236, 1.10414457321167, 1.100759506225586, 1.0972857475280762, 1.0938999652862549, 1.0904958248138428, 1.0871267318725586, 1.083789587020874, 1.0804846286773682, 1.077054500579834, 1.0738108158111572, 1.070598840713501, 1.0674285888671875, 1.0642778873443604, 1.0611557960510254, 1.057746410369873, 1.0544750690460205, 1.051438808441162, 1.0484271049499512, 1.0454413890838623, 1.0424811840057373, 1.0395421981811523, 1.0366270542144775, 1.0336997509002686, 1.0308284759521484, 1.0279889106750488, 1.0251550674438477, 1.0223402976989746, 1.0195424556732178, 1.0167603492736816, 1.0139946937561035, 1.0113015174865723, 1.0085670948028564, 1.005847454071045, 1.0031402111053467, 1.0004446506500244, 0.9977608323097229, 0.9950869679450989, 0.992423951625824, 0.9897699952125549, 0.9871243834495544, 0.9844881892204285, 0.9818609356880188, 0.9792419075965881, 0.976632297039032, 0.9740306735038757, 0.9714853167533875, 0.9688952565193176, 0.9663153290748596, 0.9637416005134583, 0.9611983895301819, 0.958640992641449, 0.9560932517051697, 0.9535523056983948, 0.9510194659233093, 0.9484090209007263, 0.9458915591239929, 0.9433810114860535, 0.9408139586448669, 0.9383196234703064, 0.9358329176902771, 0.9333546757698059, 0.9308832287788391, 0.9284185767173767, 0.9259617924690247, 0.9235113263130188, 0.9210683703422546, 0.9186318516731262, 0.9162026047706604, 0.9137780070304871, 0.9112765192985535, 0.9088618159294128, 0.9064517617225647, 0.9040917754173279, 0.9016930460929871, 0.8992980122566223, 0.8969050049781799, 0.8945147395133972, 0.8921073079109192, 0.8897201418876648, 0.8875134587287903, 0.8850995898246765, 0.8827158808708191, 0.8803204894065857, 0.8779407143592834, 0.8755616545677185, 0.8731853365898132, 0.8709068894386292, 0.8685329556465149, 0.8661604523658752, 0.8637906908988953, 0.8614240288734436, 0.8590613007545471, 0.8567604422569275, 0.8544057011604309, 0.8520535826683044, 0.8497059941291809, 0.8473634123802185, 0.8450250029563904, 0.8426921963691711, 0.8403647541999817, 0.8380436301231384, 0.8341959118843079, 0.8317323327064514, 0.8294404149055481, 0.8273221850395203, 0.8250603079795837, 0.822826087474823, 0.8206188082695007, 0.8184378743171692, 0.8162811398506165, 0.8139190077781677, 0.8118132948875427, 0.8097310662269592, 0.8076716065406799, 0.8056346774101257, 0.803619921207428, 0.8016259074211121, 0.7996525168418884, 0.7977427840232849, 0.7958131432533264, 0.7939042448997498, 0.7920132279396057, 0.7901422381401062, 0.7882904410362244, 0.7864559292793274, 0.7846394181251526, 0.7828403115272522, 0.7810590863227844, 0.7792952656745911, 0.7770029902458191, 0.7752725481987, 0.7735587954521179, 0.7718592286109924, 0.7701752781867981, 0.7685059905052185, 0.7670320868492126, 0.7653912901878357, 0.7637647986412048, 0.7621522545814514, 0.7605533003807068, 0.758967936038971, 0.7573934197425842, 0.7558320164680481, 0.7542815804481506, 0.7527896761894226, 0.7512617707252502, 0.7512304186820984, 0.7497321963310242, 0.7482462525367737, 0.7468183636665344, 0.7453474402427673, 0.7438846230506897, 0.7422568202018738, 0.7404981255531311, 0.7389363646507263, 0.7370736002922058, 0.7356509566307068, 0.7342326045036316, 0.7328205704689026, 0.7314110398292542, 0.7300068736076355, 0.7286073565483093, 0.7272118926048279, 0.7258186936378479, 0.7244303822517395, 0.7230458855628967, 0.7216632962226868, 0.7202830910682678, 0.7189050316810608, 0.7175280451774597, 0.7161527276039124, 0.714778482913971, 0.7134036421775818, 0.7118741869926453, 0.7104982733726501, 0.7091221213340759, 0.7077456116676331, 0.706367552280426, 0.7049891352653503, 0.703693687915802, 0.7023118138313293, 0.7009270787239075, 0.6995407938957214, 0.6981108784675598, 0.6962427496910095, 0.6948475241661072, 0.693449079990387, 0.6920469403266907, 0.6906419396400452, 0.6892310976982117, 0.687817394733429, 0.6863121390342712, 0.6847906708717346, 0.6833608746528625, 0.681911051273346, 0.6804652810096741, 0.679014265537262, 0.677676260471344, 0.6762142777442932, 0.674781858921051, 0.6733110547065735, 0.6718354821205139, 0.6703543066978455, 0.6688665747642517, 0.6673724055290222, 0.6658708453178406, 0.6643633246421814, 0.6628476977348328, 0.661324679851532, 0.6597931981086731, 0.658253014087677, 0.6567049622535706, 0.6550953984260559, 0.6535260081291199, 0.6519470810890198, 0.6503587365150452, 0.6487607359886169, 0.6471543908119202, 0.6455385088920593, 0.6439115405082703, 0.642225444316864, 0.6407501101493835, 0.6390936970710754, 0.6374278664588928, 0.6357530951499939, 0.6340686678886414, 0.6330309510231018, 0.6313225626945496, 0.6296038031578064, 0.6278753876686096, 0.6261380314826965], forces=[(-0.009443177841603756, 0.02184986136853695, 0.02812902070581913), (-0.003954102285206318, 0.04994123429059982, 0.04214903712272644), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01956753246486187, 0.040039654821157455, 0.056376371532678604), (0.01281062699854374, 0.16525116562843323, 0.12380131334066391), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009579027071595192, 0.015028544701635838, -0.01137513853609562), (0.04332350939512253, -0.04394464194774628, -0.0010290059726685286), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.025073332712054253, -0.009412086568772793, 0.04021039232611656), (-0.0007880815537646413, 0.006615129765123129, 0.050315890461206436), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011469028890132904, 0.014817804098129272, 0.034762971103191376), (-0.03060433268547058, 0.03473765775561333, 0.08359967172145844), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007334284484386444, 0.010770393535494804, 0.03836934641003609), (-0.05535624548792839, -0.015019765123724937, 0.10658342391252518), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.028605137020349503, 0.052879393100738525, -0.021041493862867355), (0.012947960756719112, 0.0031211241148412228, 0.046397872269153595), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0021815947256982327, 0.04062068834900856, 0.033707134425640106), (0.008583406917750835, 0.014427424408495426, 0.05228865519165993), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002102114260196686, 0.026006940752267838, 0.015640703961253166), (0.014721275307238102, 0.019332310184836388, 0.05169140174984932), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.09995968639850616, -0.36191222071647644, -0.14311031997203827), (-0.2016465663909912, -0.19341841340065002, -0.19285894930362701)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=35, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.810662269592285, 0.0039367638528347015, 16.960615158081055), (1.4213833808898926, 1.5296533107757568, 19.01177406311035), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8354249000549316, 2.814387083053589, 16.92428970336914), (1.440733790397644, 4.241117477416992, 18.883996963500977), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8219552040100098, 5.647083282470703, 16.919553756713867), (1.3998439311981201, 6.972774028778076, 18.98121452331543), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.658455848693848, -0.004374992568045855, 16.899457931518555), (4.315668106079102, 1.43388831615448, 18.82163429260254), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.678227424621582, 2.8280680179595947, 16.89173126220703), (4.261565685272217, 4.2360758781433105, 18.842214584350586), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.664522647857666, 5.629753589630127, 16.888376235961914), (4.279599666595459, 7.02705717086792, 18.819904327392578), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.491752624511719, -0.005288711283355951, 16.95265769958496), (7.057491302490234, 1.403477430343628, 18.859712600708008), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.519659996032715, 2.7830111980438232, 16.97838020324707), (7.052857875823975, 4.232794761657715, 18.854196548461914), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.49752140045166, 5.646337985992432, 16.94879150390625), (7.042964458465576, 7.041787147521973, 18.84944725036621), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.797971487045288, 0.13047954440116882, 20.50952911376953), (2.7887375354766846, 0.058287229388952255, 20.497478485107422)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5468235611915588, energy_trajectory=[1.623767614364624, 1.6112933158874512, 1.6003971099853516, 1.5894174575805664, 1.5789549350738525, 1.5684418678283691, 1.558868646621704, 1.5491611957550049, 1.5402042865753174, 1.531724214553833, 1.5231773853302002, 1.5148253440856934, 1.5064833164215088, 1.4976997375488281, 1.4898877143859863, 1.4824483394622803, 1.4748859405517578, 1.467404842376709, 1.460066795349121, 1.4530587196350098, 1.4459013938903809, 1.4387671947479248, 1.4317800998687744, 1.4248716831207275, 1.4180428981781006, 1.4112176895141602, 1.404534101486206, 1.3979201316833496, 1.3913755416870117, 1.3847064971923828, 1.378007411956787, 1.3717145919799805, 1.3654870986938477, 1.3593554496765137, 1.3531017303466797, 1.3469903469085693, 1.3410842418670654, 1.3351590633392334, 1.3293893337249756, 1.3236865997314453, 1.3180482387542725, 1.3125665187835693, 1.3070499897003174, 1.3015892505645752, 1.2962145805358887, 1.2908692359924316, 1.2855775356292725, 1.2803328037261963, 1.2751414775848389, 1.2699954509735107, 1.2648985385894775, 1.259847640991211, 1.2548446655273438, 1.2498576641082764, 1.2449440956115723, 1.2400834560394287, 1.2352705001831055, 1.2305047512054443, 1.2257840633392334, 1.221102237701416, 1.2164602279663086, 1.2118539810180664, 1.2072820663452148, 1.2027394771575928, 1.1979303359985352, 1.1934349536895752, 1.188979148864746, 1.184514045715332, 1.180143117904663, 1.1758105754852295, 1.1715147495269775, 1.1672556400299072, 1.1630301475524902, 1.1588373184204102, 1.1546142101287842, 1.1508328914642334, 1.146744728088379, 1.1426911354064941, 1.1386692523956299, 1.1346776485443115, 1.1307191848754883, 1.1267809867858887, 1.1228623390197754, 1.1190016269683838, 1.1151759624481201, 1.1113839149475098, 1.107769250869751, 1.1040515899658203, 1.1003687381744385, 1.0967223644256592, 1.0931110382080078, 1.0895376205444336, 1.0860011577606201, 1.082749366760254, 1.0793051719665527, 1.0758953094482422, 1.0724132061004639, 1.0690743923187256, 1.0657706260681152, 1.0625014305114746, 1.0593054294586182, 1.0560989379882812, 1.0529155731201172, 1.0497660636901855, 1.046640396118164, 1.0435402393341064, 1.040466070175171, 1.0374152660369873, 1.0343883037567139, 1.031440019607544, 1.0284600257873535, 1.0255022048950195, 1.0225632190704346, 1.0196444988250732, 1.0167453289031982, 1.013864517211914, 1.0110015869140625, 1.0081558227539062, 1.0053253173828125, 1.0025124549865723, 0.9997139573097229, 0.9969305396080017, 0.9941601157188416, 0.9913560748100281, 0.9886115193367004, 0.9858787655830383, 0.9831587672233582, 0.9804492592811584, 0.9777496457099915, 0.9750593304634094, 0.9721166491508484, 0.9694445729255676, 0.9667811989784241, 0.964124858379364, 0.961435854434967, 0.9587914347648621, 0.9560152888298035, 0.9533302187919617, 0.9507021307945251, 0.9481753706932068, 0.945553719997406, 0.9429355263710022, 0.9403201937675476, 0.9377077221870422, 0.9353638291358948, 0.9327539801597595, 0.9301454424858093, 0.9276120066642761, 0.9250028729438782, 0.9216319918632507, 0.9190265536308289, 0.9164208769798279, 0.9138153195381165, 0.9112101197242737, 0.9086046814918518, 0.9060001969337463, 0.9033958315849304, 0.9007918238639832, 0.898346483707428, 0.8957405686378479, 0.8931348919868469, 0.8905298113822937, 0.8879265189170837, 0.885322630405426, 0.8827198147773743, 0.8799276947975159, 0.8773313164710999, 0.874735414981842, 0.8721387982368469, 0.8695411086082458, 0.8669436573982239, 0.8643462061882019, 0.8617491126060486, 0.8591507077217102, 0.8565536141395569, 0.8539305329322815, 0.8513347506523132, 0.8487364649772644, 0.8461359143257141, 0.8435347676277161, 0.8409318327903748, 0.8383274674415588, 0.8357215523719788, 0.8331146836280823, 0.8305065035820007, 0.8278966546058655, 0.8252852559089661, 0.8226720690727234, 0.8200581669807434, 0.8174418807029724, 0.8148226141929626, 0.8122032284736633, 0.8094094395637512, 0.8069753050804138, 0.804354727268219, 0.8017340302467346, 0.7991126179695129, 0.7972485423088074, 0.7946234345436096, 0.7919996380805969, 0.7893769145011902, 0.7867529988288879, 0.7841305136680603, 0.7815075516700745, 0.7788859009742737, 0.776263415813446, 0.7736422419548035, 0.77102130651474, 0.768400251865387, 0.765788733959198, 0.7630582451820374, 0.7604406476020813, 0.7578219771385193, 0.7552047371864319, 0.7525880932807922, 0.7499304413795471, 0.7471646666526794, 0.7445524334907532, 0.7422673106193542, 0.7397142052650452, 0.7371001839637756, 0.7344872355461121, 0.7318761944770813, 0.7292659878730774, 0.7266600728034973, 0.7240745425224304, 0.7214733958244324, 0.718873918056488, 0.7162757515907288, 0.713675320148468, 0.7110851407051086, 0.7084963917732239, 0.7059264779090881, 0.7033429741859436, 0.700762927532196, 0.6981860995292664, 0.6956130862236023, 0.693044126033783, 0.6904799342155457, 0.6879191994667053, 0.6853633522987366, 0.6828117966651917, 0.6802638173103333, 0.677722156047821, 0.6751828789710999, 0.6726503968238831, 0.670121967792511, 0.6675993800163269, 0.6650809645652771, 0.6621900200843811, 0.6596816182136536, 0.6571782231330872, 0.6546797156333923, 0.6521883606910706, 0.649702250957489, 0.6472230553627014, 0.6447492241859436, 0.6423493027687073, 0.6398827433586121, 0.637422502040863, 0.6349694132804871, 0.6325222849845886, 0.6300809979438782, 0.6276467442512512, 0.625217616558075, 0.6227955222129822, 0.6203781962394714, 0.6179677844047546, 0.6155628561973572, 0.6131632924079895, 0.6107718348503113, 0.6083852648735046, 0.6060057282447815, 0.6036326289176941, 0.6012678742408752, 0.5989118218421936, 0.5965648293495178, 0.5942272543907166, 0.5919002890586853, 0.589579164981842, 0.5872761607170105, 0.5849856734275818, 0.582709014415741, 0.580448567867279, 0.5782025456428528, 0.57597416639328, 0.5737633109092712, 0.5715730786323547, 0.569402277469635, 0.5672520995140076, 0.565045177936554, 0.5629344582557678, 0.5608444809913635, 0.5587772727012634, 0.5567311644554138, 0.5547066330909729, 0.5527047514915466, 0.5507227778434753, 0.5487633347511292, 0.5468235611915588], forces=[(-0.012150202877819538, 0.007677022833377123, -0.010867335833609104), (-0.0316215455532074, 0.09469562768936157, -0.08338858932256699), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00987590104341507, 0.015531560406088829, -8.22209331090562e-05), (0.0042907437309622765, 0.034856706857681274, 0.0318133607506752), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00039876069058664143, 0.021273717284202576, 0.024301104247570038), (0.053426362574100494, 0.07506587356328964, 0.12681448459625244), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0019274749793112278, 0.007732849568128586, 0.008614384569227695), (-0.09617719054222107, -0.025434585288167, 0.033250175416469574), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014006948098540306, 0.0035622704308480024, 0.00042020060936920345), (0.017269562929868698, -0.011239686980843544, 0.020810408517718315), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004497903399169445, 0.01787927933037281, 0.01673916168510914), (-0.02097305841743946, 0.04214033484458923, 0.05219176411628723), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0060369111597537994, 0.015072345733642578, 0.015972431749105453), (-0.0034070874098688364, 0.01733030565083027, 0.00564087787643075), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05448487773537636, 0.08252043277025223, -0.08374370634555817), (0.01133017148822546, -0.006515734363347292, 0.02479349821805954), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0273826215416193, 0.04814966768026352, 0.044669028371572495), (0.011490730568766594, 0.0076384153217077255, 0.028511524200439453), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.1930905282497406, -0.42861440777778625, -0.34709203243255615), (-0.17247487604618073, 0.04456678405404091, 0.16673260927200317)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=36, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8111743927001953, -0.015651201829314232, 16.923213958740234), (1.4292678833007812, 1.4036880731582642, 18.867666244506836), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.812025308609009, 2.8263635635375977, 16.92326545715332), (1.3906784057617188, 4.08070707321167, 18.992273330688477), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.796593189239502, 5.6349334716796875, 16.961505889892578), (1.3907794952392578, 7.189732551574707, 18.97983169555664), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.6516804695129395, 0.0048027182929217815, 16.87671661376953), (4.260195732116699, 1.4030332565307617, 18.827531814575195), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.6522417068481445, 2.812593460083008, 16.879159927368164), (4.269176006317139, 4.206661701202393, 18.813156127929688), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.650406837463379, 5.638676166534424, 16.891386032104492), (4.274191856384277, 7.0638532638549805, 18.808837890625), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.48735523223877, -0.01148476917296648, 16.92359161376953), (7.043281078338623, 1.4069098234176636, 18.8306941986084), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.48717212677002, 2.8292558193206787, 16.9300594329834), (7.037738800048828, 4.220892429351807, 18.832164764404297), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.495407104492188, 5.636272430419922, 16.95337677001953), (7.040813446044922, 7.061183452606201, 18.824098587036133), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.4847363233566284, 5.664569854736328, 20.426286697387695), (0.6446012258529663, 5.579469680786133, 20.930280685424805)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.43221515417099, energy_trajectory=[1.2940278053283691, 1.2779498100280762, 1.2655351161956787, 1.2538909912109375, 1.2427585124969482, 1.232043981552124, 1.221409559249878, 1.2111997604370117, 1.2010955810546875, 1.1909470558166504, 1.1815879344940186, 1.1726765632629395, 1.1641578674316406, 1.1562442779541016, 1.1484806537628174, 1.1416146755218506, 1.1347181797027588, 1.1279194355010986, 1.1214048862457275, 1.1151022911071777, 1.1089351177215576, 1.10294508934021, 1.097118616104126, 1.0914406776428223, 1.0862164497375488, 1.0807197093963623, 1.0754318237304688, 1.0702691078186035, 1.0651938915252686, 1.0601942539215088, 1.0553243160247803, 1.050513744354248, 1.0457823276519775, 1.0411229133605957, 1.0365326404571533, 1.0320076942443848, 1.027480125427246, 1.0231783390045166, 1.018815517425537, 1.0145001411437988, 1.0102288722991943, 1.0059959888458252, 1.0017991065979004, 0.9976345896720886, 0.9934988617897034, 0.9897881150245667, 0.98570317029953, 0.9816141724586487, 0.9775637984275818, 0.9735264182090759, 0.9695015549659729, 0.9655216336250305, 0.9616115689277649, 0.9576165080070496, 0.9537916779518127, 0.9498032927513123, 0.9458538889884949, 0.9419505000114441, 0.9380896687507629, 0.9342681765556335, 0.9304837584495544, 0.926730215549469, 0.923005998134613, 0.9193055033683777, 0.9156245589256287, 0.9119580388069153, 0.9083008170127869, 0.9046514630317688, 0.9010102152824402, 0.897373616695404, 0.8937409520149231, 0.8901136517524719, 0.8864918351173401, 0.8828780055046082, 0.8792627453804016, 0.8756536841392517, 0.8720499873161316, 0.8684548735618591, 0.8648654818534851, 0.8612845540046692, 0.8577092289924622, 0.8541426062583923, 0.850580632686615, 0.8470268845558167, 0.8430436253547668, 0.8395114541053772, 0.8359864354133606, 0.8324682116508484, 0.8289569020271301, 0.8254539370536804, 0.8219637274742126, 0.8184744715690613, 0.8149945139884949, 0.811707079410553, 0.8082380890846252, 0.8047760128974915, 0.8013216853141785, 0.7978735566139221, 0.7944335341453552, 0.7909436821937561, 0.7875160574913025, 0.784094512462616, 0.7806816697120667, 0.7772734761238098, 0.7738693356513977, 0.7704687714576721, 0.7670727372169495, 0.7636789679527283, 0.7602893710136414, 0.756901204586029, 0.7534129023551941, 0.7500317692756653, 0.7466526627540588, 0.7433279156684875, 0.7399534583091736, 0.7368561625480652, 0.7334867119789124, 0.7301204800605774, 0.7267550826072693, 0.7233918309211731, 0.7200294137001038, 0.7166703343391418, 0.713311493396759, 0.7100072503089905, 0.7066548466682434, 0.7033025622367859, 0.6999539732933044, 0.6966082453727722, 0.6932663321495056, 0.6899293065071106, 0.6852418780326843, 0.6819139122962952, 0.6785919070243835, 0.6752749085426331, 0.6719633936882019, 0.6686573624610901, 0.6653586030006409, 0.6621193289756775, 0.6588340401649475, 0.6555570960044861, 0.6523486971855164, 0.6490911841392517, 0.6458427309989929, 0.642602264881134, 0.6393724083900452, 0.6361514925956726, 0.6329399943351746, 0.6297407746315002, 0.6265504956245422, 0.6233715415000916, 0.6203849911689758, 0.6172258257865906, 0.6140796542167664, 0.6108426451683044, 0.607719361782074, 0.604614794254303, 0.6015148758888245, 0.5984310507774353, 0.5953587889671326, 0.5922388434410095, 0.5891980528831482, 0.5861733555793762, 0.583164632320404, 0.5801768898963928, 0.5772059559822083, 0.57425457239151, 0.5713232159614563, 0.5684153437614441, 0.5655278563499451, 0.5626633763313293, 0.559822142124176, 0.5570055842399597, 0.5543530583381653, 0.5515887141227722, 0.5488511919975281, 0.546140730381012, 0.5434570908546448, 0.5408017039299011, 0.538174569606781, 0.5355752110481262, 0.5330049395561218, 0.5304624438285828, 0.5279484391212463, 0.5254622101783752, 0.5229384303092957, 0.520512044429779, 0.5181111693382263, 0.5157387852668762, 0.5133928656578064, 0.511074960231781, 0.508784830570221, 0.5065214037895203, 0.5042862296104431, 0.5020785927772522, 0.49989765882492065, 0.49774593114852905, 0.4957008957862854, 0.49360793828964233, 0.49154359102249146, 0.4895102381706238, 0.4875081181526184, 0.48549240827560425, 0.4835522770881653, 0.48164552450180054, 0.47977274656295776, 0.47793227434158325, 0.476126492023468, 0.4744001030921936, 0.4726678729057312, 0.47119420766830444, 0.46953660249710083, 0.46791714429855347, 0.4662269949913025, 0.4646870493888855, 0.4631885886192322, 0.4617308974266052, 0.4603152871131897, 0.4589405655860901, 0.4576072096824646, 0.45631784200668335, 0.4550701975822449, 0.4538639187812805, 0.4526992440223694, 0.45157724618911743, 0.45049554109573364, 0.44950252771377563, 0.4484989047050476, 0.4475361704826355, 0.4466171860694885, 0.44573384523391724, 0.44473427534103394, 0.44392603635787964, 0.44315391778945923, 0.4424193501472473, 0.44172292947769165, 0.44106215238571167, 0.4404368996620178, 0.43984752893447876, 0.4392930865287781, 0.43877309560775757, 0.4382861256599426, 0.43783026933670044, 0.43740755319595337, 0.4370129704475403, 0.43654006719589233, 0.43598586320877075, 0.43567293882369995, 0.4353869557380676, 0.43512624502182007, 0.434889018535614, 0.43467408418655396, 0.4343973994255066, 0.4342256188392639, 0.4340718388557434, 0.4339330792427063, 0.43380993604660034, 0.4337669014930725, 0.4336701035499573, 0.43358534574508667, 0.43351036310195923, 0.43344467878341675, 0.4333034157752991, 0.43325406312942505, 0.4332118630409241, 0.43317657709121704, 0.4331457018852234, 0.433754026889801, 0.4337320923805237, 0.43371516466140747, 0.4336997866630554, 0.43368786573410034, 0.4334978461265564, 0.43339890241622925, 0.4333924651145935, 0.4333856701850891, 0.43325334787368774, 0.4332433342933655, 0.4332321286201477, 0.43321865797042847, 0.433204710483551, 0.4331889748573303, 0.4331691861152649, 0.43314629793167114, 0.4331210255622864, 0.43309181928634644, 0.4330599904060364, 0.4330231547355652, 0.43298274278640747, 0.4329391121864319, 0.4329017996788025, 0.43284934759140015, 0.4327927231788635, 0.4327318072319031, 0.4326661229133606, 0.4325944781303406, 0.43251949548721313, 0.43244224786758423, 0.4323580861091614, 0.43226903676986694, 0.43221515417099], forces=[(-0.0018918592249974608, 0.00378986494615674, 0.0371260866522789), (-0.013836311176419258, 0.01634669117629528, 0.03850233182311058), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0007081059738993645, -0.004169878549873829, 0.025729617103934288), (0.04177428036928177, 0.1205952912569046, -0.04410078004002571), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.016689462587237358, 0.014155175536870956, -0.002287810668349266), (-0.03801107779145241, -0.021059706807136536, -0.029778657481074333), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016112709417939186, -0.0047064367681741714, 0.056750256568193436), (-0.015452176332473755, 0.00298972032032907, 0.06622952222824097), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013402982614934444, 0.006057968363165855, 0.05530114471912384), (-0.02245979942381382, 0.0177155788987875, 0.07650242745876312), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011385587975382805, 0.0002034594363067299, 0.05070507898926735), (-0.03813154995441437, -0.012267734855413437, 0.08537708222866058), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.021468719467520714, 0.008663935586810112, 0.021990450099110603), (0.00804936420172453, 0.0054842629469931126, 0.0625443384051323), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015820669010281563, -0.007261614315211773, 0.011518983170390129), (0.003951644524931908, -0.0024286957923322916, 0.049256518483161926), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.031675852835178375, 0.008886180818080902, -0.010757377371191978), (-0.012230472639203072, -0.0025464226491749287, 0.06349919736385345), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0077778613194823265, -0.316983699798584, 0.207181915640831), (0.028317710384726524, 0.206626296043396, -0.15093210339546204)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=37, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.798659563064575, 0.007032283581793308, 16.88791847229004), (1.407561182975769, 1.426604151725769, 18.829883575439453), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.810324192047119, 2.826162099838257, 16.884536743164062), (1.4070101976394653, 4.220614433288574, 18.83493995666504), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.792670965194702, 5.641167163848877, 16.890188217163086), (1.418838381767273, 7.056765556335449, 18.85579490661621), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.649636268615723, -0.019768083468079567, 16.953060150146484), (4.203765392303467, 1.4313730001449585, 18.815128326416016), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.6335248947143555, 2.826347827911377, 16.89360237121582), (4.206697463989258, 4.227392196655273, 18.82695960998535), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.638885974884033, 5.6631364822387695, 16.93923568725586), (4.146470546722412, 7.050461292266846, 18.818391799926758), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.430187225341797, -0.012271852232515812, 16.93805503845215), (7.057521820068359, 1.4561303853988647, 18.817995071411133), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.461344718933105, 2.8360958099365234, 16.889572143554688), (7.035567283630371, 4.21702766418457, 18.84363555908203), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.412300109863281, 5.67971658706665, 16.96060562133789), (7.154122352600098, 7.007439136505127, 19.06661033630371), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (6.38848352432251, 7.347835063934326, 20.880956649780273), (5.809368133544922, 6.591565132141113, 21.11160659790039)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.914842426776886, energy_trajectory=[1.3980557918548584, 1.3827311992645264, 1.371281623840332, 1.3609027862548828, 1.3510470390319824, 1.3416450023651123, 1.3326852321624756, 1.3237805366516113, 1.3150458335876465, 1.3067710399627686, 1.298842191696167, 1.2908058166503906, 1.2830684185028076, 1.2751760482788086, 1.2676281929016113, 1.2602951526641846, 1.2528936862945557, 1.2458481788635254, 1.238891363143921, 1.2319645881652832, 1.2255241870880127, 1.2188947200775146, 1.212385892868042, 1.2059135437011719, 1.1996383666992188, 1.1936051845550537, 1.1875410079956055, 1.181584119796753, 1.1757292747497559, 1.169975757598877, 1.1641631126403809, 1.158604621887207, 1.153090238571167, 1.1478285789489746, 1.1426715850830078, 1.137664794921875, 1.1328988075256348, 1.1283109188079834, 1.124016284942627, 1.1197576522827148, 1.1156504154205322, 1.1115100383758545, 1.1076877117156982, 1.1039948463439941, 1.1004176139831543, 1.096972942352295, 1.0936453342437744, 1.0911202430725098, 1.0880014896392822, 1.084986686706543, 1.0820693969726562, 1.0792474746704102, 1.076751947402954, 1.074112892150879, 1.0715608596801758, 1.0690927505493164, 1.0666053295135498, 1.0643045902252197, 1.0620782375335693, 1.059927225112915, 1.0578410625457764, 1.0558340549468994, 1.053893804550171, 1.0519537925720215, 1.0501384735107422, 1.0483810901641846, 1.0466814041137695, 1.0450377464294434, 1.0434176921844482, 1.0418806076049805, 1.0403926372528076, 1.0388011932373047, 1.0374090671539307, 1.0360605716705322, 1.0347530841827393, 1.0334861278533936, 1.0322551727294922, 1.0310614109039307, 1.0298316478729248, 1.0287015438079834, 1.0276012420654297, 1.0265302658081055, 1.0254848003387451, 1.024463176727295, 1.0234675407409668, 1.022493600845337, 1.0215425491333008, 1.0206124782562256, 1.0197021961212158, 1.0188148021697998, 1.0179443359375, 1.0170955657958984, 1.0162651538848877, 1.0154533386230469, 1.0146594047546387, 1.013883352279663, 1.0131494998931885, 1.0124082565307617, 1.0116822719573975, 1.0109727382659912, 1.010279655456543, 1.0096015930175781, 1.0089378356933594, 1.008286714553833, 1.0076487064361572, 1.007023572921753, 1.006411075592041, 1.005810022354126, 1.0052094459533691, 1.0046355724334717, 1.00407075881958, 1.003516674041748, 1.0029723644256592, 1.0024378299713135, 1.0020062923431396, 1.0014891624450684, 1.0009777545928955, 1.0004768371582031, 0.9999827742576599, 0.9994967579841614, 0.9990180134773254, 0.9985440373420715, 0.9980747103691101, 0.9976128935813904, 0.9971548914909363, 0.9967036843299866, 0.9962548613548279, 0.9958110451698303, 0.9953711628913879, 0.9949333071708679, 0.9947006106376648, 0.9942681193351746, 0.9938382506370544, 0.9934116005897522, 0.9929872155189514, 0.9925660490989685, 0.9921455979347229, 0.9917252659797668, 0.991308867931366, 0.9908928275108337, 0.990476667881012, 0.9900619387626648, 0.9896480441093445, 0.9892356991767883, 0.9888224005699158, 0.9884102940559387, 0.9879992604255676, 0.9875891804695129, 0.9871763586997986, 0.9867671132087708, 0.9863564372062683, 0.9859486222267151, 0.9855403304100037, 0.9852810502052307, 0.9848737120628357, 0.9844563603401184, 0.9840506911277771, 0.9836447834968567, 0.9832400679588318, 0.9828361868858337, 0.9822956919670105, 0.9818922877311707, 0.981489360332489, 0.9810890555381775, 0.9806877970695496, 0.9802895188331604, 0.9798914790153503, 0.9794963002204895, 0.9791439175605774, 0.9787490963935852, 0.9783551096916199, 0.9779618382453918, 0.9775710701942444, 0.9771808981895447, 0.9767903685569763, 0.9764016270637512, 0.9760121703147888, 0.9756245017051697, 0.9750092625617981, 0.9746214747428894, 0.9742315411567688, 0.9738429188728333, 0.9734545350074768, 0.9730662703514099, 0.9726783633232117, 0.9722892642021179, 0.9719006419181824, 0.97151118516922, 0.9711198210716248, 0.9707288146018982, 0.970332682132721, 0.9699360728263855, 0.9695379137992859, 0.9691982865333557, 0.9687982201576233, 0.9683956503868103, 0.9679898619651794, 0.9675845503807068, 0.9671764969825745, 0.9665500521659851, 0.9661384224891663, 0.9657266736030579, 0.9653109908103943, 0.9648943543434143, 0.9644735455513, 0.9640515446662903, 0.9636277556419373, 0.9632007479667664, 0.962772786617279, 0.9623419642448425, 0.9619078040122986, 0.9614729285240173, 0.961036741733551, 0.9605970978736877, 0.9601565003395081, 0.9597133994102478, 0.9590461850166321, 0.9585997462272644, 0.9581510424613953, 0.9577013850212097, 0.9572492241859436, 0.9567963480949402, 0.9563402533531189, 0.9558820128440857, 0.955422580242157, 0.9549615979194641, 0.9544983506202698, 0.9540329575538635, 0.9535655379295349, 0.953096330165863, 0.9526261687278748, 0.9521532654762268, 0.9516796469688416, 0.9512044787406921, 0.9507288336753845, 0.9502519965171814, 0.9497730135917664, 0.9492916464805603, 0.9488111138343811, 0.9483266472816467, 0.9478417038917542, 0.9473544955253601, 0.9468665719032288, 0.946380078792572, 0.9452351927757263, 0.944742739200592, 0.9442476630210876, 0.9429383873939514, 0.9424343705177307, 0.9419283270835876, 0.9414195418357849, 0.9409101605415344, 0.9404005408287048, 0.9398872256278992, 0.9393745064735413, 0.9388590455055237, 0.9383429884910583, 0.937825620174408, 0.9373076558113098, 0.9367882609367371, 0.9362693428993225, 0.9357475638389587, 0.93522709608078, 0.9343301653862, 0.9339624047279358, 0.9334385991096497, 0.932913601398468, 0.9323894381523132, 0.9318634867668152, 0.9313371777534485, 0.9308920502662659, 0.9303656220436096, 0.9298366904258728, 0.9293085932731628, 0.9287819266319275, 0.9282415509223938, 0.9277123808860779, 0.9271841645240784, 0.9266538023948669, 0.926123321056366, 0.9255940318107605, 0.9250631928443909, 0.9243019223213196, 0.923649251461029, 0.9231154322624207, 0.9225823283195496, 0.9220497012138367, 0.9215145707130432, 0.9209575057029724, 0.9204209446907043, 0.9197238087654114, 0.9191846251487732, 0.9186452031135559, 0.9181047081947327, 0.9175629019737244, 0.9170222878456116, 0.9164794087409973, 0.9159348607063293, 0.9153887629508972, 0.914842426776886], forces=[(0.026992451399564743, -0.011035011149942875, 0.05096619948744774), (0.0018140739994123578, -0.007310866378247738, 0.05672138184309006), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0064829085022211075, -0.0027606338262557983, 0.046740759164094925), (0.0002367427368881181, 0.007178140804171562, 0.05436097830533981), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.034542106091976166, 0.010095296427607536, 0.052322667092084885), (0.016147878021001816, -0.0027981481980532408, 0.038452908396720886), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00045063928700983524, 0.011850999668240547, 0.004026179667562246), (0.01815590262413025, -0.0095820352435112, 0.06984096765518188), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004518306814134121, -0.002069992246106267, 0.04456214979290962), (0.01390630193054676, 0.002601473592221737, 0.06336025893688202), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007255840115249157, -0.008862094022333622, 0.0160085316747427), (0.06162155419588089, 0.00786806270480156, 0.0987255647778511), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.027181487530469894, 0.005191161762923002, 0.008504286408424377), (-0.0006964468630030751, -0.026411041617393494, 0.05849440023303032), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0018781200051307678, -0.010786990635097027, 0.044114597141742706), (0.0101682860404253, 0.006629575975239277, 0.047376133501529694), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.03573282063007355, -0.02073155716061592, -0.009306618012487888), (-0.028437213972210884, 0.025817830115556717, -0.04089226946234703), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05436891317367554, -0.01244023535400629, -0.04376455768942833), (0.08053772151470184, -0.1067332848906517, 0.06016622856259346)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=38, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.820330858230591, 0.001335427863523364, 16.9047794342041), (1.4074411392211914, 1.3795549869537354, 18.85220718383789), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.796780586242676, 2.847151756286621, 16.957801818847656), (1.4773513078689575, 4.227652072906494, 19.13261604309082), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8132669925689697, 5.6249470710754395, 16.936439514160156), (1.4208009243011475, 7.052791118621826, 18.847570419311523), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.642497539520264, -0.0010765615152195096, 16.899206161499023), (4.236307621002197, 1.4010642766952515, 18.84182357788086), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.646850109100342, 2.8197243213653564, 16.90607452392578), (4.271871089935303, 4.238611221313477, 18.844636917114258), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.65333890914917, 5.641932964324951, 16.904205322265625), (4.24210262298584, 7.063161373138428, 18.841859817504883), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.462864875793457, -0.005913898348808289, 16.90806007385254), (7.040502071380615, 1.3977497816085815, 18.844263076782227), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.489051818847656, 2.8382084369659424, 16.958847045898438), (7.050945281982422, 4.227455139160156, 18.856130599975586), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.499702453613281, 5.6055192947387695, 16.962215423583984), (7.0498199462890625, 7.053580284118652, 18.842004776000977), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.5207271575927734, 4.204305171966553, 21.120033264160156), (2.0681912899017334, 4.965212345123291, 21.409242630004883)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8698559403419495, energy_trajectory=[1.1869332790374756, 1.1746671199798584, 1.1650259494781494, 1.1552724838256836, 1.1455717086791992, 1.135910987854004, 1.1262295246124268, 1.1166267395019531, 1.1071512699127197, 1.0973687171936035, 1.0880277156829834, 1.0786468982696533, 1.069504976272583, 1.0604193210601807, 1.0516071319580078, 1.0428144931793213, 1.034470796585083, 1.026587963104248, 1.0190813541412354, 1.0119922161102295, 1.0052058696746826, 0.9987335801124573, 0.9925410151481628, 0.9866029620170593, 0.9808477759361267, 0.97537761926651, 0.9699832797050476, 0.9649254679679871, 0.9600598216056824, 0.9553764462471008, 0.9515654444694519, 0.9472294449806213, 0.9430567622184753, 0.9389024376869202, 0.9349904656410217, 0.9312737584114075, 0.9277046322822571, 0.9243178963661194, 0.9209008812904358, 0.9177286028862, 0.9147266745567322, 0.9119492173194885, 0.9091535210609436, 0.906693160533905, 0.9043839573860168, 0.9021709561347961, 0.9001420140266418, 0.8983476758003235, 0.896723210811615, 0.8954693675041199, 0.8942005038261414, 0.8930745720863342, 0.8920190930366516, 0.89122074842453, 0.89016193151474, 0.8892781138420105, 0.8884491324424744, 0.8877350687980652, 0.8871274590492249, 0.8864932656288147, 0.8859434723854065, 0.8854153752326965, 0.8850063681602478, 0.8847673535346985, 0.8845359683036804, 0.8844411969184875, 0.8843228220939636, 0.8843814730644226, 0.8844532370567322, 0.8846060633659363, 0.8847783207893372, 0.8850553631782532, 0.8853692412376404, 0.8857148289680481, 0.8860867619514465, 0.8860215544700623, 0.8864229321479797, 0.8868353962898254, 0.8873583674430847, 0.8877829909324646, 0.8882074952125549, 0.8886303305625916, 0.8889099955558777, 0.8893211483955383, 0.8897241950035095, 0.8899913430213928, 0.8903726935386658, 0.8907435536384583, 0.8911027312278748, 0.8914496302604675, 0.8917849659919739, 0.8919121623039246, 0.8922199606895447, 0.8925140500068665, 0.8927966952323914, 0.8930651545524597, 0.8932268023490906, 0.8934702277183533, 0.8936997056007385, 0.8939200043678284, 0.8941261172294617, 0.8943219780921936, 0.8945055603981018, 0.8947226405143738, 0.8948833346366882, 0.8950334191322327, 0.8952677845954895, 0.8953986763954163, 0.8955195546150208, 0.8956323266029358, 0.8957358002662659, 0.8958300948143005, 0.8959181904792786, 0.8959993720054626, 0.8960714936256409, 0.8961384892463684, 0.8961967825889587, 0.8962482810020447, 0.8964123129844666, 0.8964776396751404, 0.8965067267417908, 0.8965292572975159, 0.8962666392326355, 0.8962740302085876, 0.896274745464325, 0.8962661623954773, 0.8962520956993103, 0.8962307572364807, 0.8962016701698303, 0.8961663842201233, 0.896121084690094, 0.8960698246955872, 0.8960112929344177, 0.895946204662323, 0.8958467841148376, 0.8957672715187073, 0.895845353603363, 0.8957536816596985, 0.8948503136634827, 0.8947455286979675, 0.8946346640586853, 0.8944588303565979, 0.8943402171134949, 0.8942161202430725, 0.893766462802887, 0.8936366438865662, 0.893500030040741, 0.8933599591255188, 0.8932129740715027, 0.8930632472038269, 0.8929094672203064, 0.8927510380744934, 0.8925895094871521, 0.8924242854118347, 0.8922566771507263, 0.8920838236808777, 0.89191073179245, 0.8917346596717834, 0.8915569186210632, 0.8913770318031311, 0.8911965489387512, 0.8910130858421326, 0.8908273577690125, 0.8906415104866028, 0.890450656414032, 0.8902596831321716, 0.8900662064552307, 0.8898704648017883, 0.8896706700325012, 0.8894699215888977, 0.8892651200294495, 0.8890612721443176, 0.8888136744499207, 0.8884642720222473, 0.8882449269294739, 0.888024628162384, 0.8878012299537659, 0.8875755667686462, 0.8873471617698669, 0.8870304226875305, 0.8867973685264587, 0.8865620493888855, 0.8863232731819153, 0.8860285878181458, 0.8857817053794861, 0.8855351805686951, 0.885283887386322, 0.8850321173667908, 0.8847759366035461, 0.8845165371894836, 0.8846473097801208, 0.8843814730644226, 0.8841126561164856, 0.884006917476654, 0.8837364315986633, 0.8834612965583801, 0.8831844925880432, 0.8829057812690735, 0.8826224207878113, 0.8823398947715759, 0.8820545077323914, 0.881766140460968, 0.8812680840492249, 0.8809779286384583, 0.880685031414032, 0.8801611065864563, 0.8798879981040955, 0.8796128630638123, 0.879336416721344, 0.8790574669837952, 0.8787773251533508, 0.8785651326179504, 0.8782843947410583, 0.8780036568641663, 0.8777222037315369, 0.8774409890174866, 0.8771160244941711, 0.8768624663352966, 0.8765791058540344, 0.8762956261634827, 0.8760135769844055, 0.8758156895637512, 0.8755365014076233, 0.8752573132514954, 0.874980628490448, 0.8747039437294006, 0.8744316697120667, 0.8741598725318909, 0.8738909363746643, 0.8736243844032288, 0.8733611702919006, 0.8731040358543396, 0.8728470206260681, 0.8725976347923279, 0.8715208172798157, 0.8712829947471619, 0.8710476756095886, 0.8705000281333923, 0.8702775835990906, 0.8700591921806335, 0.8698474764823914, 0.8696416020393372, 0.8694409728050232, 0.8692478537559509, 0.869846761226654, 0.8699265122413635, 0.8697498440742493, 0.8695791363716125, 0.8694117665290833, 0.8692511916160583, 0.8689669966697693, 0.8688159584999084, 0.8686686158180237, 0.8685269951820374, 0.8683890700340271, 0.8685094714164734, 0.8684024214744568, 0.8679133057594299, 0.867820680141449, 0.8677329421043396, 0.8676477074623108, 0.8675703406333923, 0.8676056265830994, 0.8675352931022644, 0.8674687743186951, 0.8674646019935608, 0.8674114346504211, 0.867365300655365, 0.8673221468925476, 0.8672825694084167, 0.8672472834587097, 0.8672167658805847, 0.8671903014183044, 0.8671675324440002, 0.8671484589576721, 0.8671322464942932, 0.8671217560768127, 0.8671111464500427, 0.8671062588691711, 0.8671057820320129, 0.8671093583106995, 0.8671150803565979, 0.8689997792243958, 0.8690343499183655, 0.8690715432167053, 0.869111955165863, 0.869150698184967, 0.8691977858543396, 0.86924809217453, 0.8693007826805115, 0.8693527579307556, 0.8694106936454773, 0.8694668412208557, 0.8695265650749207, 0.8695849776268005, 0.8696475625038147, 0.8697090744972229, 0.8697736859321594, 0.8697904944419861, 0.8698559403419495], forces=[(0.010723217390477657, -6.684097752440721e-05, 0.011893373914062977), (0.007977829314768314, -0.0003414429957047105, -0.0059416103176772594), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0009730235324241221, 0.0024223406799137592, 0.015147235244512558), (-0.059684526175260544, 0.008860096335411072, -0.0069481441751122475), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0010635291691869497, 0.001696620718576014, 0.013361243531107903), (0.00667580496519804, 0.02773464471101761, -0.002991915214806795), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0026743218768388033, -0.00048631682875566185, 0.020183244720101357), (0.012316775508224964, -0.0023391263093799353, 0.014740348793566227), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0010879230685532093, -0.006201246287673712, 0.011809815652668476), (-0.007115136366337538, -0.004039146937429905, -0.0024245851673185825), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0007487500552088022, 0.005279861856251955, 0.012703855521976948), (0.008690360933542252, -0.004947919864207506, 0.018745318055152893), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.001534519949927926, 0.000658189645037055, 0.010823545977473259), (0.010158002376556396, -0.0006825602613389492, 0.017790434882044792), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0027563029434531927, -0.00525004044175148, -0.0005791094736196101), (-0.016614452004432678, -0.0033333920873701572, -0.010346228256821632), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0019285815069451928, 0.00528296222910285, 0.006759243551641703), (0.0017280206084251404, 0.005855896044522524, 0.018791306763887405), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03547317534685135, 0.01920262910425663, -0.12266118824481964), (-0.0229679923504591, -0.0299551859498024, -0.03540503978729248)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=39, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.830543041229248, -2.326045068912208e-05, 16.898033142089844), (1.421657919883728, 1.3419592380523682, 18.875093460083008), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8110880851745605, 2.836676597595215, 16.960201263427734), (1.4119971990585327, 4.382985591888428, 19.03797149658203), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.833144426345825, 5.634873390197754, 16.91817283630371), (1.441046953201294, 7.082070350646973, 18.869873046875), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.660892486572266, -0.005535997450351715, 16.883819580078125), (4.277786731719971, 1.394139289855957, 18.81209945678711), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.667634963989258, 2.8161826133728027, 16.88947868347168), (4.31694221496582, 4.260476589202881, 18.790685653686523), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.688393592834473, 5.65288782119751, 16.882226943969727), (4.267513751983643, 7.061564922332764, 18.82870101928711), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.480912208557129, -0.013434053398668766, 16.907140731811523), (7.060140609741211, 1.3971078395843506, 18.835840225219727), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.500198364257812, 2.8232240676879883, 16.94847297668457), (7.066080093383789, 4.224869251251221, 18.851198196411133), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.525117874145508, 5.599556922912598, 16.972488403320312), (7.060066223144531, 7.061762809753418, 18.842735290527344), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.830869436264038, 3.4476938247680664, 20.765043258666992), (2.775712251663208, 3.6819844245910645, 20.920804977416992)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8820789456367493, energy_trajectory=[1.6084651947021484, 1.5941917896270752, 1.5831668376922607, 1.5728111267089844, 1.5627381801605225, 1.55299973487854, 1.5435683727264404, 1.5342700481414795, 1.5251498222351074, 1.5161828994750977, 1.507075548171997, 1.4984521865844727, 1.4900803565979004, 1.4817137718200684, 1.4733319282531738, 1.4652671813964844, 1.4576005935668945, 1.4503142833709717, 1.4432151317596436, 1.4362661838531494, 1.429640769958496, 1.423241376876831, 1.4170269966125488, 1.4109323024749756, 1.4049992561340332, 1.3992414474487305, 1.3935620784759521, 1.3880786895751953, 1.382723331451416, 1.377486228942871, 1.3723599910736084, 1.3671703338623047, 1.3622536659240723, 1.3572556972503662, 1.3524823188781738, 1.3478724956512451, 1.3432390689849854, 1.338609218597412, 1.334205150604248, 1.3298735618591309, 1.325610876083374, 1.3214168548583984, 1.3172869682312012, 1.3132176399230957, 1.3092079162597656, 1.3052401542663574, 1.3013417720794678, 1.2974953651428223, 1.2937002182006836, 1.2899534702301025, 1.2863411903381348, 1.2826895713806152, 1.2789523601531982, 1.2753913402557373, 1.2720744609832764, 1.2685961723327637, 1.265061855316162, 1.2616662979125977, 1.2583916187286377, 1.2550766468048096, 1.2519237995147705, 1.2486827373504639, 1.245473861694336, 1.242295503616333, 1.2390005588531494, 1.2358801364898682, 1.2327256202697754, 1.2297065258026123, 1.2267546653747559, 1.2236907482147217, 1.2207081317901611, 1.21760892868042, 1.2146787643432617, 1.2117760181427002, 1.208897590637207, 1.2060446739196777, 1.2032155990600586, 1.200382947921753, 1.1976027488708496, 1.1946818828582764, 1.1919574737548828, 1.1892812252044678, 1.1866493225097656, 1.1840627193450928, 1.1815152168273926, 1.1790087223052979, 1.1765596866607666, 1.1741306781768799, 1.1717393398284912, 1.1695377826690674, 1.1672236919403076, 1.1648781299591064, 1.162632942199707, 1.1605231761932373, 1.1583406925201416, 1.1561903953552246, 1.154069185256958, 1.1519749164581299, 1.1501896381378174, 1.1481499671936035, 1.146134614944458, 1.143927812576294, 1.1419529914855957, 1.1399948596954346, 1.1380534172058105, 1.1361281871795654, 1.1342172622680664, 1.1325066089630127, 1.1306202411651611, 1.128610610961914, 1.1267473697662354, 1.1248962879180908, 1.123056173324585, 1.1212239265441895, 1.119403600692749, 1.117591381072998, 1.1157894134521484, 1.1141624450683594, 1.112389087677002, 1.110621690750122, 1.108863115310669, 1.1072053909301758, 1.105468511581421, 1.1037423610687256, 1.102027177810669, 1.1002283096313477, 1.0985381603240967, 1.0969312191009521, 1.0952622890472412, 1.0936036109924316, 1.0919551849365234, 1.090317726135254, 1.088691234588623, 1.086395263671875, 1.0847985744476318, 1.0832147598266602, 1.0816433429718018, 1.0800819396972656, 1.0785326957702637, 1.0769920349121094, 1.0754632949829102, 1.0739445686340332, 1.072434425354004, 1.070967435836792, 1.0694761276245117, 1.0679938793182373, 1.0665209293365479, 1.065056562423706, 1.0636003017425537, 1.0621542930603027, 1.060715913772583, 1.0592844486236572, 1.0578632354736328, 1.056448221206665, 1.0550429821014404, 1.0536456108093262, 1.0522549152374268, 1.050872802734375, 1.0496630668640137, 1.0483005046844482, 1.0469424724578857, 1.0455925464630127, 1.044250726699829, 1.0429155826568604, 1.0415873527526855, 1.0402662754058838, 1.0389511585235596, 1.037644386291504, 1.0363428592681885, 1.035022497177124, 1.0337307453155518, 1.0324468612670898, 1.0311686992645264, 1.029897928237915, 1.0286314487457275, 1.0273709297180176, 1.0261147022247314, 1.0248980522155762, 1.023653507232666, 1.0224113464355469, 1.0211737155914307, 1.0199391841888428, 1.0187089443206787, 1.017481803894043, 1.0162599086761475, 1.0150413513183594, 1.013824224472046, 1.012610912322998, 1.0113999843597412, 1.0101914405822754, 1.008985996246338, 1.0077834129333496, 1.0065836906433105, 1.0053870677947998, 1.0041930675506592, 1.0031111240386963, 1.0019195079803467, 1.0007297992706299, 0.9995425343513489, 0.9983589053153992, 0.9971767067909241, 0.99599689245224, 0.994819700717926, 0.993644654750824, 0.9924716353416443, 0.9912986159324646, 0.9901275038719177, 0.9889575839042664, 0.9877886176109314, 0.9866196513175964, 0.9853753447532654, 0.9846200346946716, 0.9834461808204651, 0.9822737574577332, 0.9811025261878967, 0.979932963848114, 0.9787620902061462, 0.9775936007499695, 0.9764263033866882, 0.9751058220863342, 0.973939836025238, 0.9727749228477478, 0.9716097712516785, 0.9704464077949524, 0.969283401966095, 0.9681236147880554, 0.9669637084007263, 0.9658061861991882, 0.9646487832069397, 0.9634936451911926, 0.9623402953147888, 0.9611890912055969, 0.9600407481193542, 0.9588952660560608, 0.9572692513465881, 0.9561263918876648, 0.9549877047538757, 0.953852117061615, 0.9527176022529602, 0.9515860676765442, 0.9504558444023132, 0.9493258595466614, 0.9481989741325378, 0.9470736384391785, 0.9459487795829773, 0.9448246359825134, 0.943912923336029, 0.9427852034568787, 0.9416596293449402, 0.9405346512794495, 0.9394070506095886, 0.9382800459861755, 0.9371506571769714, 0.9360197186470032, 0.9348896145820618, 0.9337576031684875, 0.9326218962669373, 0.9314863085746765, 0.9303475022315979, 0.9292075037956238, 0.9280923008918762, 0.9269459843635559, 0.9257976412773132, 0.9246472716331482, 0.9234923720359802, 0.9223354458808899, 0.9211754202842712, 0.9200118184089661, 0.9188461899757385, 0.9176772236824036, 0.9165177941322327, 0.9153416752815247, 0.914162814617157, 0.912980854511261, 0.9117979407310486, 0.9106115698814392, 0.9094238877296448, 0.9081316590309143, 0.9069420695304871, 0.9057485461235046, 0.9045540690422058, 0.9033579230308533, 0.902160108089447, 0.900961697101593, 0.8997631669044495, 0.8985622525215149, 0.8973624110221863, 0.8961626887321472, 0.89496248960495, 0.8937625288963318, 0.8925613760948181, 0.8913665413856506, 0.8901795744895935, 0.8889996409416199, 0.8878284096717834, 0.8866634964942932, 0.885505735874176, 0.8843571543693542, 0.8832147717475891, 0.8820789456367493], forces=[(-0.003278060583397746, 0.017991837114095688, 0.048615191131830215), (0.032600972801446915, 0.06621020287275314, 0.0951019674539566), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00245111808180809, -0.004542024806141853, -0.01612755097448826), (-0.02833014912903309, 0.002440259326249361, -0.0773412436246872), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012877440080046654, 0.01482453104108572, 0.014821656048297882), (-0.007985812611877918, 0.02151615545153618, 0.023016462102532387), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00882701762020588, 0.012735720723867416, 0.04812878742814064), (-0.024004938080906868, 0.03239566460251808, 0.07944489270448685), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.018921099603176117, 0.01123831421136856, 0.05123595893383026), (-0.0820223018527031, -0.020025836303830147, 0.09082789719104767), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04632125794887543, -0.009981472045183182, 0.05368375405669212), (-0.0031389836221933365, 0.0014422198291867971, 0.04630027711391449), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00949015375226736, 0.03786813095211983, 0.04681079834699631), (0.005145912058651447, 0.010564420372247696, 0.04724399372935295), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016226569190621376, 0.00661492720246315, 0.016712136566638947), (-0.026718251407146454, 0.02281705103814602, 0.01779148355126381), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04736645892262459, 0.04755694419145584, -0.04212360084056854), (0.008223217912018299, -0.0016253914218395948, 0.04432876035571098), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.13886024057865143, 0.005509766284376383, -0.03793371841311455), (-0.07593604922294617, -0.240770161151886, 0.10336752235889435)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=40, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.7946584224700928, 0.00843714363873005, 16.962862014770508), (1.3912872076034546, 1.5620537996292114, 19.00102996826172), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.806523561477661, 2.816699981689453, 16.929828643798828), (1.4236371517181396, 4.246494293212891, 18.86910629272461), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.808837890625, 5.66135835647583, 16.926973342895508), (1.391674518585205, 6.929330825805664, 18.986106872558594), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.646050930023193, 0.005358838476240635, 16.894336700439453), (4.266135215759277, 1.434951663017273, 18.817041397094727), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.647104263305664, 2.8337645530700684, 16.880916595458984), (4.2563371658325195, 4.240210056304932, 18.83153533935547), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.647219657897949, 5.642102241516113, 16.882186889648438), (4.2637619972229, 7.0461506843566895, 18.8184871673584), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.492289543151855, 0.009520350024104118, 16.95473861694336), (7.037086486816406, 1.4350258111953735, 18.825841903686523), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.484976768493652, 2.821866035461426, 16.926740646362305), (7.040533065795898, 4.244409561157227, 18.833524703979492), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.482735633850098, 5.6631951332092285, 16.92969512939453), (7.0317301750183105, 7.057199001312256, 18.83159065246582), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.4484437704086304, 8.456984519958496, 20.45209503173828), (0.5743619203567505, 8.382220268249512, 20.89445686340332)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.42101866006851196, energy_trajectory=[1.1135528087615967, 1.0960581302642822, 1.0827040672302246, 1.0698542594909668, 1.0578174591064453, 1.0464956760406494, 1.0357215404510498, 1.0256381034851074, 1.015932559967041, 1.0064496994018555, 0.997154176235199, 0.9881178736686707, 0.9792988896369934, 0.9706434607505798, 0.9622566103935242, 0.9540284276008606, 0.9458528161048889, 0.9379116892814636, 0.9300052523612976, 0.9221579432487488, 0.9147208333015442, 0.907139241695404, 0.8997467160224915, 0.892444908618927, 0.8852023482322693, 0.8780868649482727, 0.8710564970970154, 0.8641141057014465, 0.8572579026222229, 0.8504855036735535, 0.8437985777854919, 0.837196409702301, 0.8307656645774841, 0.8243232369422913, 0.8179790377616882, 0.8116962313652039, 0.8054919838905334, 0.7993611693382263, 0.7933047413825989, 0.7873303294181824, 0.7814244627952576, 0.7755902409553528, 0.7698106169700623, 0.764116108417511, 0.7584906220436096, 0.7529346346855164, 0.7474444508552551, 0.7420032620429993, 0.7366510033607483, 0.7313652634620667, 0.7261452078819275, 0.7209621071815491, 0.7158785462379456, 0.7108660340309143, 0.7059268355369568, 0.7010614275932312, 0.6962723135948181, 0.6916709542274475, 0.6870254874229431, 0.6824541687965393, 0.6779525876045227, 0.6735188364982605, 0.6691727042198181, 0.6648663878440857, 0.6606259942054749, 0.6564458012580872, 0.6524509787559509, 0.6483100056648254, 0.6443169713020325, 0.6403864026069641, 0.6364274621009827, 0.632693350315094, 0.6289452910423279, 0.6249906420707703, 0.6213601231575012, 0.6177871823310852, 0.6142753958702087, 0.6108587384223938, 0.6075226664543152, 0.6041820645332336, 0.6008990406990051, 0.5976729989051819, 0.5945004820823669, 0.5913828015327454, 0.5883206725120544, 0.5854135155677795, 0.5824207663536072, 0.5795125365257263, 0.5766555666923523, 0.5738487839698792, 0.5710919499397278, 0.568383514881134, 0.5657238364219666, 0.5631096959114075, 0.5605441927909851, 0.5580232739448547, 0.555519163608551, 0.553088366985321, 0.5508326888084412, 0.5484856963157654, 0.546180784702301, 0.5439205765724182, 0.5416997075080872, 0.5395196080207825, 0.5373770594596863, 0.5352726578712463, 0.5333055853843689, 0.5312742590904236, 0.529278576374054, 0.5274664759635925, 0.5255430340766907, 0.5236530900001526, 0.5217971205711365, 0.5199726223945618, 0.5181826949119568, 0.5164232850074768, 0.5146955847740173, 0.5129987597465515, 0.5111815333366394, 0.5095437169075012, 0.5079349875450134, 0.5063548684120178, 0.5048009753227234, 0.5032762885093689, 0.5017775893211365, 0.5003053545951843, 0.4987637400627136, 0.49734145402908325, 0.49594277143478394, 0.49456697702407837, 0.49227994680404663, 0.49095219373703003, 0.48964589834213257, 0.4883609414100647, 0.48709553480148315, 0.48584920167922974, 0.4848635792732239, 0.48365849256515503, 0.48247116804122925, 0.4813012480735779, 0.4801487326622009, 0.4790114760398865, 0.4778922200202942, 0.4767870306968689, 0.47570115327835083, 0.4746273159980774, 0.47356921434402466, 0.4725448489189148, 0.47163230180740356, 0.4706194996833801, 0.46962302923202515, 0.4686402678489685, 0.4676721692085266, 0.46671491861343384, 0.46577543020248413, 0.4647980332374573, 0.46388310194015503, 0.46270817518234253, 0.4618212580680847, 0.46080392599105835, 0.45994073152542114, 0.4590911269187927, 0.4582558274269104, 0.45743244886398315, 0.4566219449043274, 0.4558250308036804, 0.4550402760505676, 0.45426875352859497, 0.45351213216781616, 0.45263367891311646, 0.45190078020095825, 0.4511820673942566, 0.45047515630722046, 0.44978004693984985, 0.44909876585006714, 0.44843000173568726, 0.4478268027305603, 0.44708818197250366, 0.4464576840400696, 0.44583767652511597, 0.4452281594276428, 0.4446302056312561, 0.4440433382987976, 0.44338828325271606, 0.4428249001502991, 0.4422946572303772, 0.44175082445144653, 0.44127076864242554, 0.44074636697769165, 0.4402323365211487, 0.43972867727279663, 0.43923360109329224, 0.43874841928482056, 0.43827253580093384, 0.437805712223053, 0.4373471140861511, 0.4368986487388611, 0.4364573359489441, 0.4360261559486389, 0.43560296297073364, 0.4351882338523865, 0.434781014919281, 0.43438225984573364, 0.433991014957428, 0.43360787630081177, 0.43323272466659546, 0.43286532163619995, 0.43250352144241333, 0.4321509003639221, 0.43180328607559204, 0.4314647316932678, 0.4313663840293884, 0.43104416131973267, 0.43072909116744995, 0.4304202198982239, 0.4301186203956604, 0.4298233389854431, 0.4295353293418884, 0.4292526841163635, 0.4289781451225281, 0.42868560552597046, 0.4284232258796692, 0.4281671643257141, 0.42791682481765747, 0.42767268419265747, 0.427434504032135, 0.42720216512680054, 0.4269748330116272, 0.42675286531448364, 0.4265362620353699, 0.42631345987319946, 0.42610615491867065, 0.4259034991264343, 0.4257059693336487, 0.42551320791244507, 0.425326406955719, 0.4251435399055481, 0.42496544122695923, 0.4247916340827942, 0.4246218800544739, 0.4244559407234192, 0.4242939352989197, 0.4241364598274231, 0.4239824414253235, 0.42383307218551636, 0.4236648678779602, 0.42352181673049927, 0.4233826994895935, 0.4232475161552429, 0.42311495542526245, 0.422987163066864, 0.4231012463569641, 0.42298024892807007, 0.42285531759262085, 0.4227403998374939, 0.42262929677963257, 0.42251986265182495, 0.42241424322128296, 0.42231184244155884, 0.422211229801178, 0.42223280668258667, 0.42213791608810425, 0.42204660177230835, 0.421957790851593, 0.421872079372406, 0.4217897057533264, 0.4217105507850647, 0.4216342568397522, 0.4215622544288635, 0.4214927554130554, 0.42133015394210815, 0.42126721143722534, 0.4212058186531067, 0.42103272676467896, 0.4209802746772766, 0.42105633020401, 0.42100924253463745, 0.42096656560897827, 0.4209274649620056, 0.42089182138442993, 0.4208281636238098, 0.4208006262779236, 0.42077702283859253, 0.42075806856155396, 0.4205712676048279, 0.4205576777458191, 0.4205475449562073, 0.4205401539802551, 0.4205372929573059, 0.42053693532943726, 0.42054110765457153, 0.4209175705909729, 0.4209246039390564, 0.42093461751937866, 0.4209490418434143, 0.42096513509750366, 0.42103809118270874, 0.42106252908706665, 0.4210907816886902, 0.42101866006851196], forces=[(0.015765508636832237, -0.004898390267044306, -0.008548143319785595), (-0.014250628650188446, -0.09420658648014069, -0.00954443123191595), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0007041651988402009, -0.010154406540095806, 0.026994286105036736), (-0.01373324729502201, -0.03512191399931908, 0.040360771119594574), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0022375613916665316, -0.019678952172398567, 0.01312787551432848), (0.032294515520334244, 0.02311846986413002, -0.05457715690135956), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0068018571473658085, -0.0010486225364729762, 0.03729453682899475), (-0.028304824605584145, -0.01727822795510292, 0.07345528155565262), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.010789128951728344, -0.008528406731784344, 0.04363909736275673), (-0.015493810176849365, -0.007308392785489559, 0.058735769242048264), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00690815644338727, -0.001211854862049222, 0.037920303642749786), (-0.013120878487825394, 0.0035976790823042393, 0.06149644777178764), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.02179274521768093, -0.007948552258312702, -0.006808263715356588), (-0.006631889380514622, -0.014029303565621376, 0.06392860412597656), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014896080829203129, -0.011388326995074749, 0.023524418473243713), (0.005403342191129923, -0.005634916480630636, 0.05313589423894882), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009334195405244827, -0.02183595485985279, 0.006080383900552988), (0.009623730555176735, -0.008714036084711552, 0.04607000946998596), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003674206556752324, -0.074775829911232, 0.04619578644633293), (0.008435776457190514, 0.17358557879924774, -0.06772298365831375)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=41, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8317975997924805, 0.004769141785800457, 16.924291610717773), (1.4139903783798218, 1.3894414901733398, 18.879934310913086), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8352417945861816, 2.793571949005127, 16.938344955444336), (1.416156530380249, 4.242062091827393, 18.84326934814453), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.815305709838867, 5.627186298370361, 16.884586334228516), (1.4123153686523438, 7.026315689086914, 18.837797164916992), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.646029949188232, 0.024117296561598778, 16.964330673217773), (4.091341495513916, 1.433029055595398, 18.984447479248047), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.645491600036621, 2.7930634021759033, 16.955698013305664), (4.230049133300781, 4.243868350982666, 18.84050941467285), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.644112586975098, 5.634089946746826, 16.896339416503906), (4.213955879211426, 7.008781433105469, 18.814661026000977), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.458084106445312, 0.006238001398742199, 16.92633628845215), (7.194155216217041, 1.4376696348190308, 18.991806030273438), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.454690933227539, 2.7944741249084473, 16.942197799682617), (7.0624847412109375, 4.24827241897583, 18.843475341796875), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.472004890441895, 5.6290602684021, 16.8855037689209), (7.074430465698242, 7.0128397941589355, 18.816585540771484), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (5.620871543884277, 1.2317601442337036, 20.42068099975586), (5.670954704284668, 2.0453295707702637, 20.965124130249023)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4331943392753601, energy_trajectory=[1.32212233543396, 1.3081023693084717, 1.2972137928009033, 1.2864556312561035, 1.275935173034668, 1.2658207416534424, 1.256190538406372, 1.2469475269317627, 1.238025426864624, 1.2294847965240479, 1.2210416793823242, 1.2128946781158447, 1.2050690650939941, 1.1973302364349365, 1.1897220611572266, 1.182462453842163, 1.1753699779510498, 1.1683173179626465, 1.161400556564331, 1.1545555591583252, 1.147768259048462, 1.141296625137329, 1.1348109245300293, 1.1284284591674805, 1.1221120357513428, 1.1158716678619385, 1.1094505786895752, 1.1036086082458496, 1.0975840091705322, 1.091705083847046, 1.0858063697814941, 1.0799860954284668, 1.0742182731628418, 1.0684926509857178, 1.0628936290740967, 1.0572726726531982, 1.0516993999481201, 1.046172857284546, 1.040700912475586, 1.0347576141357422, 1.0293524265289307, 1.0239832401275635, 1.0186526775360107, 1.0133562088012695, 1.0080914497375488, 1.0028607845306396, 0.9976586699485779, 0.9924843907356262, 0.987338125705719, 0.9822158217430115, 0.9769442677497864, 0.9721630215644836, 0.9671235680580139, 0.9621087908744812, 0.9571284651756287, 0.9522035717964172, 0.9472973942756653, 0.9424276947975159, 0.9375895857810974, 0.9327828288078308, 0.9280015826225281, 0.9232427477836609, 0.9184474349021912, 0.9137230515480042, 0.9090132117271423, 0.9043166041374207, 0.8996303677558899, 0.8949608206748962, 0.8903017640113831, 0.8858599066734314, 0.8812317252159119, 0.8767184615135193, 0.872117817401886, 0.8675366044044495, 0.8629729151725769, 0.8584309220314026, 0.853908121585846, 0.8494063019752502, 0.8449268937110901, 0.8404702544212341, 0.8359927535057068, 0.8315791487693787, 0.827189028263092, 0.8228635191917419, 0.8185228705406189, 0.814204752445221, 0.8099114298820496, 0.8056409955024719, 0.8013930916786194, 0.797171413898468, 0.7929720282554626, 0.7887962460517883, 0.7846437096595764, 0.7804180979728699, 0.7763140797615051, 0.7722333073616028, 0.7681770920753479, 0.7641420960426331, 0.760132372379303, 0.7561433911323547, 0.752177894115448, 0.7482345700263977, 0.744311511516571, 0.7404069304466248, 0.7365198731422424, 0.7326526045799255, 0.7288020253181458, 0.7249730229377747, 0.7211622595787048, 0.7175031304359436, 0.7137306332588196, 0.7099780440330505, 0.7062491774559021, 0.7025418877601624, 0.6988560557365417, 0.6953402161598206, 0.691700279712677, 0.6880826354026794, 0.6844882369041443, 0.6808047890663147, 0.6772541403770447, 0.6737286448478699, 0.6698396801948547, 0.6663611531257629, 0.6629442572593689, 0.6595156788825989, 0.6561136841773987, 0.6527391076087952, 0.6493909955024719, 0.6460700631141663, 0.6427760720252991, 0.6395096182823181, 0.6364265084266663, 0.6332184672355652, 0.630039632320404, 0.6268873810768127, 0.6237661242485046, 0.6200814843177795, 0.6168221831321716, 0.6137760281562805, 0.6107627749443054, 0.6077818274497986, 0.6048328280448914, 0.6019170880317688, 0.599031388759613, 0.5961784720420837, 0.5933570265769958, 0.5905663371086121, 0.587807834148407, 0.5850786566734314, 0.5823814272880554, 0.5797126889228821, 0.5770733952522278, 0.574157178401947, 0.5715742707252502, 0.5691532492637634, 0.566624104976654, 0.5641204714775085, 0.5615503191947937, 0.5590986609458923, 0.5566732287406921, 0.5542716383934021, 0.5521364808082581, 0.5497834086418152, 0.5474533438682556, 0.5450491309165955, 0.5429186224937439, 0.5406585335731506, 0.5384231209754944, 0.5362103581428528, 0.534022867679596, 0.5318593382835388, 0.529624879360199, 0.5275123715400696, 0.5254237055778503, 0.5233621001243591, 0.5213248133659363, 0.5193124413490295, 0.5173270106315613, 0.5153669714927673, 0.5134187340736389, 0.5115137696266174, 0.5096361041069031, 0.5077854990959167, 0.5058920979499817, 0.5040968060493469, 0.5024301409721375, 0.5006926655769348, 0.4977412819862366, 0.4960569739341736, 0.4944148659706116, 0.4928264021873474, 0.49128395318984985, 0.48978835344314575, 0.4883379340171814, 0.4868442416191101, 0.48547786474227905, 0.4841514229774475, 0.48268359899520874, 0.4814322590827942, 0.4802146553993225, 0.478171169757843, 0.47730058431625366, 0.4761810898780823, 0.47509080171585083, 0.47402817010879517, 0.4729916453361511, 0.4719809889793396, 0.4709938168525696, 0.4700302481651306, 0.46908849477767944, 0.46816831827163696, 0.4672688841819763, 0.46638959646224976, 0.4655299782752991, 0.464688241481781, 0.4638654589653015, 0.4630357623100281, 0.4623100161552429, 0.4615406394004822, 0.4607873558998108, 0.46004945039749146, 0.45932716131210327, 0.45861929655075073, 0.4579264521598816, 0.45724791288375854, 0.4565843939781189, 0.455935537815094, 0.4552997946739197, 0.45467907190322876, 0.45407217741012573, 0.45347851514816284, 0.4528988003730774, 0.4523323178291321, 0.4517790675163269, 0.451238214969635, 0.4514210820198059, 0.45090848207473755, 0.45040804147720337, 0.449920117855072, 0.44944459199905396, 0.44898027181625366, 0.4485275149345398, 0.4480782151222229, 0.44764894247055054, 0.44703465700149536, 0.4466251730918884, 0.4462270140647888, 0.44583791494369507, 0.4455764889717102, 0.44520848989486694, 0.4448496699333191, 0.4444989562034607, 0.4441571831703186, 0.4438233971595764, 0.44349759817123413, 0.44317930936813354, 0.4428684115409851, 0.4425644278526306, 0.4422667622566223, 0.44197481870651245, 0.44168931245803833, 0.441409170627594, 0.44113415479660034, 0.440864622592926, 0.4405995011329651, 0.44033902883529663, 0.440082848072052, 0.4398311972618103, 0.43953245878219604, 0.4392910599708557, 0.43892842531204224, 0.43869322538375854, 0.4384620785713196, 0.4382336735725403, 0.43800872564315796, 0.43757694959640503, 0.43735843896865845, 0.43714195489883423, 0.43692880868911743, 0.43671876192092896, 0.4365113377571106, 0.43630677461624146, 0.43610554933547974, 0.43590646982192993, 0.43571001291275024, 0.435515820980072, 0.43534988164901733, 0.43516069650650024, 0.4349737763404846, 0.4347882866859436, 0.43460506200790405, 0.4344235062599182, 0.4342431426048279, 0.43406468629837036, 0.43388837575912476, 0.4337126612663269, 0.4335387349128723, 0.4333658814430237, 0.4331943392753601], forces=[(-0.010240193456411362, 9.884380415314808e-05, 0.009806515648961067), (-0.020962098613381386, 0.007524547167122364, 0.01041881088167429), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01916734129190445, 0.021585732698440552, -0.011968973092734814), (-0.006556534208357334, -0.00809392798691988, 0.036150071769952774), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00249826000072062, 0.012450230307877064, 0.030870040878653526), (-0.002027262933552265, 0.0060151107609272, 0.038489509373903275), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0111849969252944, -0.016891658306121826, -0.014598607085645199), (0.0181408803910017, 0.008944526314735413, -0.04812222346663475), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005975152365863323, 0.015915753319859505, -0.00988300982862711), (-0.004976788070052862, 0.0018063223687931895, 0.032840341329574585), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0003070149105042219, 0.003734664525836706, 0.029177315533161163), (0.006544091273099184, 0.02495022490620613, 0.05378301069140434), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0003554576833266765, -0.004332839511334896, 0.005330111365765333), (-0.07428428530693054, -0.050926633179187775, -0.058336224406957626), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005170233082026243, 0.015808964148163795, -0.013339929282665253), (0.0009032238740473986, -0.015033803880214691, 0.0295786801725626), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007083357777446508, 0.00869558285921812, 0.03257231414318085), (-0.012804574333131313, 0.016159048303961754, 0.054727885872125626), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.20079472661018372, 0.057183146476745605, 0.13444165885448456), (-0.11295688897371292, 0.0685567855834961, -0.026598434895277023)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=42, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.7890803813934326, -0.045256972312927246, 16.964622497558594), (1.406221866607666, 1.4020378589630127, 18.85884666442871), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.822766065597534, 2.793611764907837, 16.896141052246094), (1.4146842956542969, 4.168428421020508, 18.831871032714844), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.7972970008850098, 5.63542366027832, 16.928756713867188), (1.4412428140640259, 6.995917797088623, 19.024301528930664), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.655101776123047, -0.05384135618805885, 16.971397399902344), (4.22116231918335, 1.4046127796173096, 18.858009338378906), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.62612247467041, 2.7835631370544434, 16.891681671142578), (4.217677116394043, 4.194648265838623, 18.847068786621094), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.631394863128662, 5.6301798820495605, 16.92394256591797), (4.180314064025879, 7.017207145690918, 18.89177703857422), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.454185485839844, -0.040430422872304916, 16.965965270996094), (7.04627799987793, 1.4039111137390137, 18.858686447143555), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.460970878601074, 2.796407461166382, 16.902080535888672), (7.016219615936279, 4.156771659851074, 18.81828498840332), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.445931434631348, 5.646894931793213, 16.959388732910156), (6.879809379577637, 7.038365364074707, 19.011878967285156), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (8.29439640045166, 6.712322235107422, 20.52326011657715), (8.211402893066406, 5.735276222229004, 20.66439437866211)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5178539156913757, energy_trajectory=[1.656202793121338, 1.6423072814941406, 1.631516933441162, 1.6211519241333008, 1.6112077236175537, 1.6017801761627197, 1.5929372310638428, 1.5839695930480957, 1.5756897926330566, 1.567791223526001, 1.5603785514831543, 1.5528903007507324, 1.5454790592193604, 1.5382912158966064, 1.5311944484710693, 1.5238804817199707, 1.5169401168823242, 1.5104613304138184, 1.5036356449127197, 1.4968719482421875, 1.4901456832885742, 1.483417272567749, 1.4768478870391846, 1.4701876640319824, 1.4638872146606445, 1.4574248790740967, 1.4510810375213623, 1.4446804523468018, 1.4383032321929932, 1.4319539070129395, 1.4256272315979004, 1.4193229675292969, 1.4130401611328125, 1.4067792892456055, 1.4004316329956055, 1.3941898345947266, 1.38820481300354, 1.3821425437927246, 1.3759632110595703, 1.3697993755340576, 1.363649845123291, 1.3575139045715332, 1.351395845413208, 1.345289707183838, 1.3392000198364258, 1.3331270217895508, 1.3270690441131592, 1.3210265636444092, 1.3150005340576172, 1.3091058731079102, 1.303114414215088, 1.2970364093780518, 1.291081428527832, 1.2851452827453613, 1.2792277336120605, 1.2733285427093506, 1.2674498558044434, 1.2615816593170166, 1.2560439109802246, 1.2502293586730957, 1.2444355487823486, 1.2386608123779297, 1.2329065799713135, 1.227172613143921, 1.2214562892913818, 1.2157566547393799, 1.2100744247436523, 1.2043554782867432, 1.1986393928527832, 1.1930160522460938, 1.1873693466186523, 1.181791067123413, 1.1762363910675049, 1.1708340644836426, 1.1653382778167725, 1.1598727703094482, 1.1544361114501953, 1.1489169597625732, 1.1435151100158691, 1.1373047828674316, 1.1319966316223145, 1.1267201900482178, 1.1214797496795654, 1.1162793636322021, 1.1111164093017578, 1.1059956550598145, 1.10091233253479, 1.0958025455474854, 1.0908002853393555, 1.0858392715454102, 1.0809299945831299, 1.0760610103607178, 1.0710291862487793, 1.0662550926208496, 1.0615215301513672, 1.056833028793335, 1.0521907806396484, 1.0475893020629883, 1.0430324077606201, 1.038703441619873, 1.0341730117797852, 1.0297462940216064, 1.0253620147705078, 1.0210230350494385, 1.01676344871521, 1.012507438659668, 1.008291244506836, 1.0041139125823975, 0.9999744296073914, 0.995870053768158, 0.991793692111969, 0.9877598881721497, 0.9837062954902649, 0.9797374606132507, 0.9758036732673645, 0.9720126986503601, 0.968108594417572, 0.9642783999443054, 0.9606850743293762, 0.9569182991981506, 0.9531993269920349, 0.949516236782074, 0.9458683133125305, 0.9422553181648254, 0.9386759400367737, 0.9351316094398499, 0.9316170811653137, 0.928135335445404, 0.9246867299079895, 0.9212673306465149, 0.9176439642906189, 0.9143226742744446, 0.9109936356544495, 0.9072299599647522, 0.9039568305015564, 0.9007092118263245, 0.8974892497062683, 0.8942932486534119, 0.8911224007606506, 0.8879751563072205, 0.8848511576652527, 0.8817479014396667, 0.8786653876304626, 0.8756034970283508, 0.8725617527961731, 0.8695390820503235, 0.8665342926979065, 0.8635454773902893, 0.8605757355690002, 0.8576206564903259, 0.8546814322471619, 0.8517560362815857, 0.8488455414772034, 0.8459479212760925, 0.8430634140968323, 0.8401902318000793, 0.8373282551765442, 0.8345735669136047, 0.8317362666130066, 0.8289113640785217, 0.8260957598686218, 0.8232902884483337, 0.820495069026947, 0.8177091479301453, 0.8149335980415344, 0.8121681809425354, 0.8094123005867004, 0.8066672682762146, 0.8039327263832092, 0.8012067675590515, 0.7984930872917175, 0.7957884669303894, 0.7928226590156555, 0.79013592004776, 0.787458598613739, 0.7847910523414612, 0.7821326851844788, 0.7794821858406067, 0.7768412232398987, 0.7742074131965637, 0.7712876200675964, 0.7686697840690613, 0.7660607695579529, 0.7634567618370056, 0.7608612179756165, 0.7582719922065735, 0.7557834982872009, 0.7532075047492981, 0.7506375908851624, 0.7480747103691101, 0.7455183863639832, 0.7429686188697815, 0.7403766512870789, 0.7378390431404114, 0.7353070378303528, 0.7327824234962463, 0.7302654385566711, 0.7276818156242371, 0.7251766324043274, 0.7226781249046326, 0.7201855778694153, 0.717700183391571, 0.7157590985298157, 0.7132852673530579, 0.7108179926872253, 0.7083558440208435, 0.7058989405632019, 0.703449547290802, 0.7010042071342468, 0.6985659003257751, 0.6961336731910706, 0.693706214427948, 0.6912856698036194, 0.6888719201087952, 0.6864643692970276, 0.6840627789497375, 0.6816686987876892, 0.6792792677879333, 0.6768984198570251, 0.6745241284370422, 0.671618640422821, 0.6692551970481873, 0.666901171207428, 0.6645573973655701, 0.6622208952903748, 0.6598919034004211, 0.6575732827186584, 0.6552621722221375, 0.6529616713523865, 0.6506687998771667, 0.6483867764472961, 0.6461109519004822, 0.6436309218406677, 0.6413766741752625, 0.6391299366950989, 0.6368926167488098, 0.634663999080658, 0.6324443221092224, 0.6302323937416077, 0.6280298829078674, 0.6258357167243958, 0.6236514449119568, 0.6214151978492737, 0.6192464232444763, 0.6170873045921326, 0.6149366497993469, 0.6127949357032776, 0.6111885905265808, 0.6090630888938904, 0.6069465279579163, 0.6048408150672913, 0.6027446389198303, 0.6006589531898499, 0.5985847115516663, 0.5965197682380676, 0.5944673418998718, 0.5924268364906311, 0.5903974175453186, 0.5883809924125671, 0.5863780379295349, 0.5843890309333801, 0.5824130177497864, 0.5804502367973328, 0.5785019993782043, 0.5764846205711365, 0.5744308829307556, 0.5725293755531311, 0.5706413388252258, 0.5687673687934875, 0.5669078230857849, 0.5650634169578552, 0.5632334351539612, 0.5614170432090759, 0.5595857501029968, 0.5578002333641052, 0.5560285449028015, 0.5542697310447693, 0.5525243878364563, 0.5507932305335999, 0.5491340756416321, 0.5474246144294739, 0.5457294583320618, 0.5440470576286316, 0.5424578785896301, 0.540797770023346, 0.5391518473625183, 0.5375178456306458, 0.5360633730888367, 0.5344527363777161, 0.533886730670929, 0.5322538018226624, 0.5305607914924622, 0.5289509892463684, 0.5273523926734924, 0.5257654786109924, 0.5241898894309998, 0.522473156452179, 0.5209209322929382, 0.5193812251091003, 0.5178539156913757], forces=[(-0.019756333902478218, -0.002601824002340436, 0.0015996611909940839), (-0.009217933751642704, -0.007158596534281969, 0.007549670524895191), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009393813088536263, 0.000476856657769531, 0.003667177865281701), (-0.025856487452983856, 0.011206269264221191, 0.028773784637451172), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016115225851535797, -0.0028058169409632683, 0.01375595573335886), (0.013118360191583633, -0.012463842518627644, 0.024397453293204308), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05539083853363991, 0.035862937569618225, -0.05505902320146561), (-0.006918862462043762, -0.009648211300373077, 0.00936920940876007), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.001297598471865058, 0.02067175880074501, 0.006051122676581144), (-0.003040796611458063, -0.011881986632943153, 0.007786977104842663), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011106913909316063, 0.00956006906926632, 0.007998147048056126), (-0.017879484221339226, -0.002851134864613414, 0.014034918509423733), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.011425522156059742, 0.0006067862850613892, -0.004513024818152189), (-0.023113971576094627, 0.00735499057918787, -0.0028082765638828278), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009983522817492485, 0.006219426169991493, 0.007855233736336231), (0.009001892991364002, 0.057393983006477356, 0.04318259656429291), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004140801262110472, 0.003502441802993417, -0.008862306363880634), (-0.02175738289952278, 0.037708476185798645, -0.07626011222600937), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.16016817092895508, 0.17062337696552277, -0.16910140216350555), (0.21822622418403625, 0.20678699016571045, -0.014303164556622505)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=43, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.7906839847564697, 0.03273520991206169, 16.963428497314453), (1.4877047538757324, 1.4271849393844604, 19.115495681762695), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7952098846435547, 2.8055412769317627, 16.955020904541016), (1.4150956869125366, 4.273478031158447, 18.8505916595459), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.824021339416504, 5.652194023132324, 16.91020393371582), (1.412269949913025, 7.052543640136719, 18.863473892211914), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.63434362411499, -0.0016430491814389825, 16.91342544555664), (4.249133586883545, 1.4140312671661377, 18.870319366455078), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.635281085968018, 2.821911334991455, 16.911733627319336), (4.242682933807373, 4.242641925811768, 18.854175567626953), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.641323566436768, 5.644026279449463, 16.90785789489746), (4.236971378326416, 7.0472636222839355, 18.858633041381836), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.479846954345703, 0.02771318517625332, 16.958524703979492), (7.029993534088135, 1.4132956266403198, 18.843914031982422), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.477354049682617, 2.8099935054779053, 16.948495864868164), (7.047205924987793, 4.238132953643799, 18.848915100097656), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.463908195495605, 5.6521501541137695, 16.913236618041992), (7.043715953826904, 7.047299861907959, 18.853742599487305), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.1657553911209106, 1.6309841871261597, 21.069507598876953), (2.0455942153930664, 1.6290868520736694, 21.50333595275879)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8708043694496155, energy_trajectory=[1.1580712795257568, 1.1479668617248535, 1.139277458190918, 1.1307382583618164, 1.1222007274627686, 1.1138331890106201, 1.1062207221984863, 1.0980634689331055, 1.0899755954742432, 1.0819664001464844, 1.0740325450897217, 1.0663940906524658, 1.0586495399475098, 1.0509157180786133, 1.0435445308685303, 1.0362281799316406, 1.0290372371673584, 1.0216460227966309, 1.0144031047821045, 1.007042646408081, 1.0000228881835938, 0.9929977059364319, 0.9860685467720032, 0.9792901873588562, 0.9726459383964539, 0.9662441611289978, 0.9601811766624451, 0.9543531537055969, 0.9483830332756042, 0.9430955052375793, 0.9380220770835876, 0.9330862164497375, 0.9284549355506897, 0.9238706231117249, 0.9194468855857849, 0.9154772162437439, 0.9116148352622986, 0.907932460308075, 0.9044354557991028, 0.9010718464851379, 0.8980520367622375, 0.8951389193534851, 0.8923612236976624, 0.8898832201957703, 0.887677013874054, 0.8856863379478455, 0.8838892579078674, 0.8823336958885193, 0.8809158205986023, 0.8796777129173279, 0.8785614371299744, 0.8775175213813782, 0.8739544749259949, 0.8729190230369568, 0.8724080920219421, 0.8713483214378357, 0.8702803254127502, 0.8692430853843689, 0.8682267069816589, 0.8672826886177063, 0.8664447665214539, 0.8657411932945251, 0.865202009677887, 0.8647050261497498, 0.864454448223114, 0.8644042611122131, 0.8645078539848328, 0.864730179309845, 0.8648812174797058, 0.8653059601783752, 0.8658105731010437, 0.8663979172706604, 0.8670224547386169, 0.8676941990852356, 0.8684012293815613, 0.8690763115882874, 0.869832456111908, 0.8707048296928406, 0.8714877963066101, 0.872174084186554, 0.8729620575904846, 0.8737490773200989, 0.8745306134223938, 0.8755369782447815, 0.8762990832328796, 0.8765692114830017, 0.8773013949394226, 0.87801593542099, 0.8787080645561218, 0.8793826699256897, 0.8799086213111877, 0.8805392384529114, 0.8811455368995667, 0.8817296624183655, 0.8822887539863586, 0.8829024434089661, 0.8834096789360046, 0.8851523995399475, 0.8856204152107239, 0.8860635161399841, 0.8864834904670715, 0.8867728114128113, 0.8871363997459412, 0.8874735236167908, 0.8877829909324646, 0.8881407380104065, 0.8883962035179138, 0.8886241316795349, 0.8888261914253235, 0.8890034556388855, 0.8891547322273254, 0.8892839550971985, 0.8893905282020569, 0.8894757628440857, 0.8895395398139954, 0.8895861506462097, 0.8896130919456482, 0.8896220326423645, 0.8896128535270691, 0.8897011876106262, 0.8896669745445251, 0.8896186947822571, 0.8895595669746399, 0.8894898295402527, 0.8894067406654358, 0.8896484971046448, 0.8895576596260071, 0.8894544243812561, 0.8893424868583679, 0.8892280459403992, 0.8891027569770813, 0.8889709115028381, 0.8888301253318787, 0.8886801600456238, 0.88852459192276, 0.8883610367774963, 0.8883101344108582, 0.8881306052207947, 0.8879445195198059, 0.8877493739128113, 0.8875488638877869, 0.8873403668403625, 0.8871269822120667, 0.8869039416313171, 0.8866762518882751, 0.8864392638206482, 0.8862001299858093, 0.8859524130821228, 0.8856993317604065, 0.885436475276947, 0.8851709961891174, 0.8848989605903625, 0.8846208453178406, 0.884336531162262, 0.8843229413032532, 0.8840369582176208, 0.8837460875511169, 0.8834486603736877, 0.8830010294914246, 0.8825066685676575, 0.8822197318077087, 0.8819319605827332, 0.8816359639167786, 0.8813392519950867, 0.8798184990882874, 0.8795292973518372, 0.87923663854599, 0.8789412379264832, 0.8788084387779236, 0.878505527973175, 0.878200352191925, 0.8778948187828064, 0.8775845170021057, 0.8772704005241394, 0.8769571185112, 0.8766409754753113, 0.8763254284858704, 0.8760073781013489, 0.8755629658699036, 0.8752416968345642, 0.8749200701713562, 0.8745982050895691, 0.8743354678153992, 0.873799741268158, 0.8734808564186096, 0.8731634020805359, 0.8728482127189636, 0.8725066781044006, 0.8721986413002014, 0.8718923926353455, 0.8715872168540955, 0.8712888360023499, 0.8702613711357117, 0.8699808716773987, 0.8697023987770081, 0.8694285750389099, 0.8691594004631042, 0.868897020816803, 0.8686415553092957, 0.8683881163597107, 0.8681533932685852, 0.8679117560386658, 0.8676771521568298, 0.867453396320343, 0.8672266602516174, 0.8670088648796082, 0.8667923808097839, 0.8665832877159119, 0.8663807511329651, 0.8661797642707825, 0.865986168384552, 0.8657961487770081, 0.865610659122467, 0.8654307723045349, 0.8652569651603699, 0.8650239109992981, 0.8649253249168396, 0.8647647500038147, 0.8645315766334534, 0.8645563721656799, 0.8644128441810608, 0.86427241563797, 0.8641374707221985, 0.8640076518058777, 0.8638851046562195, 0.8637650609016418, 0.8636521697044373, 0.8630948662757874, 0.8629961609840393, 0.8629011511802673, 0.862894594669342, 0.8628140091896057, 0.8626061081886292, 0.8625615239143372, 0.8625218272209167, 0.8624913096427917, 0.862388551235199, 0.8623691201210022, 0.8623561263084412, 0.8623505234718323, 0.8623505234718323, 0.8623597025871277, 0.8623749613761902, 0.8624191880226135, 0.8624479174613953, 0.8624854683876038, 0.8624783158302307, 0.862528383731842, 0.8625858426094055, 0.8626486659049988, 0.8627198338508606, 0.8627975583076477, 0.8628814816474915, 0.8629726767539978, 0.8631568551063538, 0.8632609248161316, 0.8633697628974915, 0.8634851574897766, 0.8636055588722229, 0.8636297583580017, 0.8637593388557434, 0.8638951182365417, 0.8640347123146057, 0.8641781210899353, 0.8643257021903992, 0.8644766211509705, 0.8646312355995178, 0.8647891879081726, 0.8647927641868591, 0.864960253238678, 0.8651290535926819, 0.8652178645133972, 0.8653951287269592, 0.8655758500099182, 0.8657589554786682, 0.8659420609474182, 0.86605304479599, 0.8661897778511047, 0.866378128528595, 0.8665688633918762, 0.8667588829994202, 0.8669517636299133, 0.8676223158836365, 0.8680208325386047, 0.8682177662849426, 0.8684148192405701, 0.8685694336891174, 0.8687949776649475, 0.868987500667572, 0.8691782355308533, 0.8693675398826599, 0.8695549368858337, 0.8697407841682434, 0.8699242472648621, 0.8699101805686951, 0.870093047618866, 0.8702722191810608, 0.8704563975334167, 0.8706313967704773, 0.8708043694496155], forces=[(0.0029874490574002266, -0.0003928642254322767, -0.0021106814965605736), (-0.02198122814297676, -0.0315886028110981, -0.00162411923520267), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0012532655382528901, -0.0012163445353507996, 0.0032049391884356737), (-0.001976220402866602, -0.0021186668891459703, -0.003844529390335083), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0021497991401702166, -0.0023483671247959137, -0.002749872859567404), (0.00010511220898479223, -0.012519018724560738, -0.0114011000841856), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0035375894512981176, -0.002726389328017831, -0.008332042023539543), (0.019022056832909584, 0.0008608928765170276, -0.01872989349067211), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003994379658252001, 0.007023046724498272, -0.004079870879650116), (-0.0003001791483256966, 0.0029414661694318056, -0.0021496377885341644), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0013020586920902133, 0.0012075969716534019, -0.0006982155027799308), (0.007439896464347839, -0.0015312170144170523, -0.003364573698490858), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003439769148826599, -0.0012081050081178546, -0.0037386531475931406), (-0.004110805224627256, 0.001977359876036644, -0.008175043389201164), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006466376595199108, -0.0037063981872051954, 0.008461089804768562), (-0.004856477025896311, 0.009503948502242565, -0.0007676598033867776), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005288164131343365, -0.004645529668778181, -0.0032129227183759212), (-0.001086804666556418, 0.003105330979451537, -0.0020343807991594076), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.08043450862169266, -0.031610727310180664, -0.06542094796895981), (-0.027876311913132668, -0.012272698804736137, -0.035560231655836105)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=44, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.869345188140869, -0.02745690569281578, 16.961137771606445), (1.4140290021896362, 1.4252045154571533, 18.8441162109375), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8415729999542236, 2.8268797397613525, 16.919219970703125), (1.409868597984314, 4.225779056549072, 18.84052276611328), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8535711765289307, 5.651917457580566, 16.956663131713867), (1.404800534248352, 7.0613837242126465, 18.848196029663086), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.646117210388184, -0.0020279271993786097, 16.924251556396484), (4.2564802169799805, 1.460106372833252, 18.87042999267578), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.644726753234863, 2.8357417583465576, 16.9113826751709), (4.244840145111084, 4.191474914550781, 18.930843353271484), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.624524116516113, 5.6629133224487305, 16.96207618713379), (4.210840225219727, 7.2458882331848145, 19.042367935180664), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.493056297302246, 0.012030531652271748, 16.888206481933594), (7.084718227386475, 1.426281452178955, 18.833324432373047), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.477568626403809, 2.821582317352295, 16.890609741210938), (7.087320327758789, 4.231834411621094, 18.828798294067383), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.479552268981934, 5.642639636993408, 16.897769927978516), (7.1093878746032715, 7.079352855682373, 18.81157112121582), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.498566150665283, 6.129578590393066, 20.705963134765625), (5.477329254150391, 6.112794399261475, 20.821279525756836)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.7252843976020813, energy_trajectory=[1.4091899394989014, 1.3953793048858643, 1.383556842803955, 1.3730590343475342, 1.3628699779510498, 1.3535113334655762, 1.343595266342163, 1.334179162979126, 1.324824571609497, 1.31550931930542, 1.3064961433410645, 1.2976055145263672, 1.2888870239257812, 1.2805469036102295, 1.2722666263580322, 1.2643706798553467, 1.256840467453003, 1.2492179870605469, 1.2418632507324219, 1.2346477508544922, 1.2274999618530273, 1.2206027507781982, 1.2138373851776123, 1.2072741985321045, 1.2008802890777588, 1.194495439529419, 1.1882226467132568, 1.1819851398468018, 1.1759448051452637, 1.1700160503387451, 1.1641871929168701, 1.158435583114624, 1.1528990268707275, 1.1472773551940918, 1.1418442726135254, 1.1365067958831787, 1.1312637329101562, 1.1261117458343506, 1.1210484504699707, 1.116074800491333, 1.1111881732940674, 1.1063146591186523, 1.1016051769256592, 1.097095251083374, 1.0925586223602295, 1.0881068706512451, 1.0837390422821045, 1.0794568061828613, 1.0752499103546143, 1.0711307525634766, 1.0670902729034424, 1.063131332397461, 1.059494972229004, 1.0556769371032715, 1.051927089691162, 1.0482661724090576, 1.0446834564208984, 1.0411787033081055, 1.0377492904663086, 1.0343940258026123, 1.0311098098754883, 1.0278983116149902, 1.0248172283172607, 1.0216960906982422, 1.0186972618103027, 1.0154972076416016, 1.0124800205230713, 1.009690761566162, 1.0069682598114014, 1.0043137073516846, 1.0018928050994873, 0.999488890171051, 0.9970306754112244, 0.9946923851966858, 0.9923626780509949, 0.990348756313324, 0.9893936514854431, 0.9872408509254456, 0.9851446747779846, 0.9825274348258972, 0.9805702567100525, 0.9786280989646912, 0.9767341017723083, 0.9748918414115906, 0.9730984568595886, 0.9713501334190369, 0.9696020483970642, 0.967978298664093, 0.9663563370704651, 0.9646591544151306, 0.9631077647209167, 0.9615893959999084, 0.9601053595542908, 0.9586518406867981, 0.9572258591651917, 0.9558269381523132, 0.954455554485321, 0.9531065821647644, 0.9517784714698792, 0.9504743218421936, 0.9491904377937317, 0.9478610157966614, 0.9466122984886169, 0.9453721642494202, 0.9441468119621277, 0.94293612241745, 0.9415856003761292, 0.9403708577156067, 0.9393051266670227, 0.9381424784660339, 0.936993420124054, 0.9358580708503723, 0.9346548914909363, 0.9335433840751648, 0.9324448704719543, 0.9313564896583557, 0.930280864238739, 0.9292147755622864, 0.9281594157218933, 0.9271147847175598, 0.9260806441307068, 0.9250553250312805, 0.9240387082099915, 0.923030436038971, 0.9220250248908997, 0.9210289120674133, 0.9200388789176941, 0.9190559983253479, 0.9180791974067688, 0.9171085953712463, 0.9159697890281677, 0.9149392247200012, 0.9139766097068787, 0.9129964709281921, 0.9120444655418396, 0.9110949635505676, 0.9101478457450867, 0.9092015624046326, 0.9082582592964172, 0.9073163866996765, 0.9063758254051208, 0.905436098575592, 0.9044975638389587, 0.9035599827766418, 0.9024527668952942, 0.9015142321586609, 0.9005782008171082, 0.8994293808937073, 0.8985082507133484, 0.8975849747657776, 0.896663248538971, 0.8957402110099792, 0.894817054271698, 0.8938944935798645, 0.892970621585846, 0.8920469880104065, 0.8911229968070984, 0.8902614712715149, 0.8893393874168396, 0.8885090947151184, 0.8875871300697327, 0.8866636157035828, 0.8857384324073792, 0.8848124146461487, 0.8838853240013123, 0.882957398891449, 0.8820281624794006, 0.8810994029045105, 0.8803154826164246, 0.8793860077857971, 0.8784539103507996, 0.8775705695152283, 0.8766401410102844, 0.8757087588310242, 0.8747777342796326, 0.8738448023796082, 0.8729127049446106, 0.8719790577888489, 0.8710461258888245, 0.8701123595237732, 0.8691787123680115, 0.8682437539100647, 0.8673073649406433, 0.8663702607154846, 0.8654326796531677, 0.8644940257072449, 0.863552987575531, 0.8626102805137634, 0.8616649508476257, 0.8607177138328552, 0.8597673773765564, 0.8588129878044128, 0.8577556014060974, 0.8567951321601868, 0.8558432459831238, 0.8548722863197327, 0.8538947701454163, 0.8529127240180969, 0.8518142104148865, 0.8508171439170837, 0.8500005602836609, 0.8494943976402283, 0.8484764695167542, 0.8475742936134338, 0.8465420603752136, 0.8455032706260681, 0.8444556593894958, 0.8434026837348938, 0.8423425555229187, 0.8412755131721497, 0.8402025103569031, 0.8391229510307312, 0.8380375504493713, 0.836946427822113, 0.8358514904975891, 0.8346046805381775, 0.8334991335868835, 0.8323892951011658, 0.8312757611274719, 0.8301597237586975, 0.8290413022041321, 0.8279199004173279, 0.8267974257469177, 0.8256729245185852, 0.8245472311973572, 0.8234190344810486, 0.8222902417182922, 0.8211594223976135, 0.8199455142021179, 0.818813145160675, 0.8176793456077576, 0.8165431618690491, 0.8154045939445496, 0.8138747811317444, 0.812730610370636, 0.8115851283073425, 0.8104352355003357, 0.8092822432518005, 0.8080076575279236, 0.8068496584892273, 0.8056874871253967, 0.804521381855011, 0.8033495545387268, 0.8021737933158875, 0.8009926676750183, 0.7998072504997253, 0.7986171841621399, 0.7974216341972351, 0.7962200045585632, 0.7950153946876526, 0.7938041090965271, 0.7925888895988464, 0.7913677096366882, 0.7901422381401062, 0.7889094948768616, 0.7876743674278259, 0.7864304184913635, 0.785182535648346, 0.7839280962944031, 0.78266841173172, 0.7814030051231384, 0.7801315188407898, 0.7788531184196472, 0.7773879170417786, 0.7760949730873108, 0.77479487657547, 0.7734890580177307, 0.7715076804161072, 0.770191490650177, 0.7688667178153992, 0.7675343155860901, 0.766192615032196, 0.7648422122001648, 0.7634838223457336, 0.762117326259613, 0.7607693076133728, 0.7593860030174255, 0.7579942345619202, 0.7565953135490417, 0.7551864981651306, 0.75376957654953, 0.7523157000541687, 0.7507248520851135, 0.7492849230766296, 0.7478392720222473, 0.7463858723640442, 0.7449249625205994, 0.7434577345848083, 0.7419831156730652, 0.7405031323432922, 0.7390146851539612, 0.7375196814537048, 0.736016571521759, 0.734505832195282, 0.7329887747764587, 0.7314628958702087, 0.7299299836158752, 0.728389322757721, 0.7268403172492981, 0.7252843976020813], forces=[(-0.033011674880981445, 0.04810812696814537, -0.01801815629005432), (-0.002409062348306179, 0.004849564284086227, 0.031290452927351), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01642700843513012, 0.044456131756305695, 0.05377497524023056), (-0.0033639094326645136, 0.018848227337002754, 0.03610300272703171), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016329994425177574, 0.009998577646911144, 0.00933052133768797), (-0.012930667959153652, 0.01616423763334751, 0.016069933772087097), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.012734323740005493, 0.021825995296239853, 0.010796473361551762), (-0.010072460398077965, 0.04514937847852707, 0.036136332899332047), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01092222798615694, 0.025321688503026962, 0.03962819278240204), (0.022177722305059433, 0.08468320220708847, 0.1449180543422699), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00117557926569134, 0.0016398371662944555, -0.007646868005394936), (0.020824654027819633, 0.012055869214236736, -0.07508522272109985), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.028247548267245293, -0.0007404640200547874, 0.028301969170570374), (-0.01042152103036642, 0.0012030362850055099, 0.03831450641155243), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004243176896125078, 0.004547777120023966, 0.02560838684439659), (-0.004194625653326511, 0.012191514484584332, 0.043067533522844315), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016550427302718163, 0.007437116000801325, 0.029527829959988594), (-0.04771342873573303, 0.0026379385963082314, 0.05432116985321045), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.09605401009321213, -0.36650970578193665, -0.2522449195384979), (-0.09423986822366714, -0.10033107548952103, 0.061473969370126724)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=45, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8253352642059326, -0.012513572350144386, 16.89672088623047), (1.4210931062698364, 1.380782127380371, 18.838226318359375), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8214242458343506, 2.8117141723632812, 16.905506134033203), (1.4250850677490234, 4.218510150909424, 18.838809967041016), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8231325149536133, 5.634613513946533, 16.89412498474121), (1.4277899265289307, 7.025665283203125, 18.839231491088867), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.669735908508301, 0.013187902979552746, 16.95140838623047), (4.207681179046631, 1.3866877555847168, 18.841753005981445), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.6672258377075195, 2.7951507568359375, 16.963205337524414), (4.221083164215088, 4.226149082183838, 18.837656021118164), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.649530410766602, 5.627630233764648, 16.91046905517578), (4.223916053771973, 7.0306291580200195, 18.84150505065918), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.443361282348633, 0.004446136765182018, 16.93927574157715), (7.064626693725586, 1.1843146085739136, 19.088205337524414), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.436874389648438, 2.791928768157959, 16.957443237304688), (7.061499118804932, 4.24699068069458, 18.90262222290039), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.461398124694824, 5.623729705810547, 16.90849494934082), (7.058906555175781, 6.975611686706543, 18.870140075683594), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (7.019018173217773, 2.149355411529541, 20.84868812561035), (7.928371906280518, 2.121478796005249, 21.217378616333008)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.7831308245658875, energy_trajectory=[1.223841667175293, 1.213167667388916, 1.2026081085205078, 1.192366600036621, 1.1823022365570068, 1.1724298000335693, 1.1623899936676025, 1.1528730392456055, 1.1435604095458984, 1.1340420246124268, 1.1249487400054932, 1.1157808303833008, 1.1072490215301514, 1.098311185836792, 1.0898475646972656, 1.0814909934997559, 1.0735721588134766, 1.0669713020324707, 1.0597648620605469, 1.05269193649292, 1.0458455085754395, 1.0391154289245605, 1.0325953960418701, 1.0263354778289795, 1.020209550857544, 1.014296054840088, 1.008545160293579, 1.0029497146606445, 0.9974111914634705, 0.9921186566352844, 0.9871276021003723, 0.9821262955665588, 0.9773131012916565, 0.9725809693336487, 0.9679616093635559, 0.9634893536567688, 0.9591458439826965, 0.9550381302833557, 0.9509289860725403, 0.9469289183616638, 0.9430921673774719, 0.9393236041069031, 0.9357277750968933, 0.9321622252464294, 0.9288908839225769, 0.9257747530937195, 0.9228125214576721, 0.9199900031089783, 0.9173042178153992, 0.9147850871086121, 0.9124080538749695, 0.9101690649986267, 0.9080643057823181, 0.9060868620872498, 0.9042064547538757, 0.902100145816803, 0.90047687292099, 0.8989550471305847, 0.8975004553794861, 0.8961531519889832, 0.8948805928230286, 0.893677294254303, 0.8925366997718811, 0.8914414048194885, 0.8904774785041809, 0.8895056843757629, 0.888589084148407, 0.8877233862876892, 0.886910617351532, 0.8861481547355652, 0.8854350447654724, 0.88474041223526, 0.8841188549995422, 0.88358074426651, 0.883045494556427, 0.8825394511222839, 0.8820804953575134, 0.8816563487052917, 0.8812651038169861, 0.8809047341346741, 0.8804280161857605, 0.8801091313362122, 0.8798158764839172, 0.8795446753501892, 0.8792938590049744, 0.8790614008903503, 0.8788452744483948, 0.8786928057670593, 0.8785046935081482, 0.8783271908760071, 0.8781611323356628, 0.8760848641395569, 0.8759285807609558, 0.8757792115211487, 0.8756709694862366, 0.8755289912223816, 0.8752451539039612, 0.8751038908958435, 0.8749603629112244, 0.8748173117637634, 0.8746736645698547, 0.8746090531349182, 0.8743850588798523, 0.874232828617096, 0.8740752339363098, 0.8739110827445984, 0.8738517165184021, 0.8736775517463684, 0.8734981417655945, 0.8733113408088684, 0.8731178641319275, 0.8729189038276672, 0.8727137446403503, 0.8725019097328186, 0.8722850680351257, 0.8720623850822449, 0.8721562027931213, 0.8719161152839661, 0.8716709017753601, 0.8714216351509094, 0.8711664080619812, 0.8709059357643127, 0.870640218257904, 0.8703687787055969, 0.8700935244560242, 0.8698121905326843, 0.8695253729820251, 0.8692330718040466, 0.8689377903938293, 0.8686147332191467, 0.8683097958564758, 0.8680017590522766, 0.8676888346672058, 0.8673730492591858, 0.8672224879264832, 0.8668981194496155, 0.8665693402290344, 0.8662380576133728, 0.8658997416496277, 0.8655590415000916, 0.8652130961418152, 0.8648623824119568, 0.8644765019416809, 0.8639643788337708, 0.863599956035614, 0.8632317185401917, 0.8629850745201111, 0.8626090884208679, 0.8622292876243591, 0.8618419766426086, 0.8614516854286194, 0.861057460308075, 0.8606576323509216, 0.8602542281150818, 0.8590496182441711, 0.8586452603340149, 0.8582355380058289, 0.8578218817710876, 0.8574041724205017, 0.8569840788841248, 0.8565575480461121, 0.856130063533783, 0.8557029366493225, 0.8550922274589539, 0.8546513915061951, 0.8542079329490662, 0.8537598252296448, 0.8533092141151428, 0.8528576493263245, 0.8524015545845032, 0.8519443869590759, 0.8514836430549622, 0.8510196805000305, 0.8505546450614929, 0.8500879406929016, 0.8496178984642029, 0.8491458296775818, 0.8486725687980652, 0.8481962084770203, 0.847717821598053, 0.8472378849983215, 0.8463745713233948, 0.8458922505378723, 0.8453372120857239, 0.8448930382728577, 0.8444090485572815, 0.8439237475395203, 0.8434370160102844, 0.8429482579231262, 0.842459499835968, 0.8419702649116516, 0.8414791226387024, 0.84098881483078, 0.8404962420463562, 0.8419979214668274, 0.8414973616600037, 0.8409942984580994, 0.8404911160469055, 0.8399891257286072, 0.8394860625267029, 0.8389837145805359, 0.8384825587272644, 0.8379825949668884, 0.8374817967414856, 0.8369836211204529, 0.8364014029502869, 0.8359050154685974, 0.8354149460792542, 0.8349220156669617, 0.8344294428825378, 0.8339381814002991, 0.8334481120109558, 0.8329597115516663, 0.8324632048606873, 0.8319769501686096, 0.8314929604530334, 0.8310099244117737, 0.8305283188819885, 0.8300471901893616, 0.8295684456825256, 0.829105794429779, 0.8286282420158386, 0.8281518816947937, 0.8276752829551697, 0.8272749781608582, 0.8267999291419983, 0.8262712359428406, 0.8257966637611389, 0.8253228068351746, 0.8248469233512878, 0.8243710398674011, 0.8236715197563171, 0.8231948018074036, 0.8224318623542786, 0.8219509720802307, 0.8214682936668396, 0.8209846615791321, 0.82049959897995, 0.820012629032135, 0.818167507648468, 0.817693293094635, 0.8171940445899963, 0.8166907429695129, 0.8161866068840027, 0.8156804442405701, 0.8151717782020569, 0.81466144323349, 0.8141486048698425, 0.8135793805122375, 0.8130620121955872, 0.8125433325767517, 0.8120227456092834, 0.8118653893470764, 0.8113438487052917, 0.8108229041099548, 0.810299813747406, 0.8097769618034363, 0.8092526793479919, 0.8087294697761536, 0.8082050681114197, 0.8075730204582214, 0.807047426700592, 0.8064094185829163, 0.8058826327323914, 0.8053565621376038, 0.8036289811134338, 0.803090512752533, 0.8025502562522888, 0.8020086884498596, 0.8014656901359558, 0.8009201884269714, 0.8003719449043274, 0.7998215556144714, 0.7992656826972961, 0.7987063527107239, 0.7981416583061218, 0.7975721955299377, 0.7969960570335388, 0.7964136004447937, 0.7958249449729919, 0.795231282711029, 0.7946324944496155, 0.794029176235199, 0.7934396862983704, 0.7928240895271301, 0.7922016978263855, 0.7915733456611633, 0.7909378409385681, 0.7902958989143372, 0.7896471619606018, 0.7889924645423889, 0.7883300185203552, 0.7880037426948547, 0.7873274683952332, 0.7866433262825012, 0.7859540581703186, 0.7852579951286316, 0.7845551371574402, 0.7838461995124817, 0.7831308245658875], forces=[(-0.005459312349557877, -0.004774755332618952, 0.015656670555472374), (0.011114905588328838, -0.0015286389971151948, 0.01353531889617443), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002265007235109806, 0.00010038881737273186, 0.016626905649900436), (0.0007612879853695631, -0.00267605809494853, 0.02516040951013565), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003897107904776931, -0.0014595354441553354, 0.02305944636464119), (-0.0065161981619894505, -0.0023828931152820587, 0.026673126965761185), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006439233664423227, -0.011461049318313599, 0.012733088806271553), (-0.004553039092570543, -0.006204560399055481, 0.007469913922250271), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008401813916862011, 0.0008855163468979299, 0.004760933108627796), (-0.005170066375285387, -0.007982812821865082, 0.022010939195752144), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0029040160588920116, -0.011750476434826851, 0.02763821743428707), (-0.003135210368782282, -0.004747512750327587, 0.021441545337438583), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0035550855100154877, -0.005628235638141632, 0.017864849418401718), (0.017861275002360344, 0.05210474506020546, -0.041759226471185684), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008565625175833702, 0.005780169274657965, 0.008321559987962246), (-0.0049798875115811825, -0.017757179215550423, 0.05637878179550171), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.006800261326134205, -0.007198495324701071, 0.028250809758901596), (-0.006885910872370005, 0.005075439345091581, 0.02120332233607769), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007255448494106531, 0.18591393530368805, -0.14725229144096375), (-0.025486499071121216, 0.03364944830536842, -0.04772121086716652)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=46, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.832970142364502, 0.02373749203979969, 16.962596893310547), (1.3218398094177246, 1.4434399604797363, 19.011430740356445), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8359267711639404, 2.794299840927124, 16.95772933959961), (1.42091965675354, 4.260648727416992, 18.84135627746582), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8264553546905518, 5.640648365020752, 16.900108337402344), (1.4122111797332764, 7.030689716339111, 18.8345890045166), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.649104595184326, 0.015142637304961681, 16.931884765625), (4.412881851196289, 1.3952628374099731, 18.981433868408203), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.652350902557373, 2.8033862113952637, 16.926254272460938), (4.26289701461792, 4.246553897857666, 18.826181411743164), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.658026695251465, 5.640902042388916, 16.885522842407227), (4.259133338928223, 7.0152268409729, 18.825538635253906), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.49510383605957, 0.018507665023207664, 16.9397029876709), (7.095919609069824, 1.4069019556045532, 18.876615524291992), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.493814468383789, 2.8071916103363037, 16.937564849853516), (7.06820821762085, 4.248422622680664, 18.842161178588867), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.465325355529785, 5.642959117889404, 16.8917236328125), (7.067184925079346, 7.035040378570557, 18.8430233001709), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (2.891571044921875, 1.3963878154754639, 20.45623207092285), (2.885958671569824, 2.2939956188201904, 20.856225967407227)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.41455382108688354, energy_trajectory=[1.232154130935669, 1.216855525970459, 1.2037279605865479, 1.191741704940796, 1.1805486679077148, 1.1701405048370361, 1.160048007965088, 1.150686264038086, 1.1413195133209229, 1.1323983669281006, 1.1234304904937744, 1.1147716045379639, 1.1063759326934814, 1.097963809967041, 1.0897331237792969, 1.0816640853881836, 1.0738856792449951, 1.066056489944458, 1.0583550930023193, 1.0506789684295654, 1.04315185546875, 1.0361270904541016, 1.0286531448364258, 1.0214951038360596, 1.0143003463745117, 1.007185697555542, 0.9998871684074402, 0.9928568005561829, 0.9859816431999207, 0.9791180491447449, 0.9723928570747375, 0.9657449126243591, 0.9591720700263977, 0.9526651501655579, 0.946230947971344, 0.9398687481880188, 0.9335771203041077, 0.9273557066917419, 0.9211657643318176, 0.915086567401886, 0.9090736508369446, 0.9031237959861755, 0.8972397446632385, 0.8914133906364441, 0.8855379223823547, 0.8798452019691467, 0.8742132782936096, 0.8686460852622986, 0.863139808177948, 0.8576900362968445, 0.8522983193397522, 0.8469687104225159, 0.8416994214057922, 0.8364911675453186, 0.8313478827476501, 0.8262713551521301, 0.8212630152702332, 0.8163197636604309, 0.8114390969276428, 0.8055444359779358, 0.8007871508598328, 0.7960818409919739, 0.7914292216300964, 0.7868257164955139, 0.7822732329368591, 0.7777723670005798, 0.7733280062675476, 0.7689236998558044, 0.7645696997642517, 0.7602654099464417, 0.7562429308891296, 0.7520410418510437, 0.747886598110199, 0.7437803149223328, 0.7397227883338928, 0.7357133030891418, 0.7317520976066589, 0.7278388142585754, 0.7239721417427063, 0.7200612425804138, 0.7162696719169617, 0.7125465273857117, 0.7088678479194641, 0.7052351832389832, 0.7016481757164001, 0.6980100274085999, 0.6945136189460754, 0.6910529732704163, 0.6876452565193176, 0.68427973985672, 0.6808916926383972, 0.6776483654975891, 0.6744878888130188, 0.6712130904197693, 0.6677677035331726, 0.6646427512168884, 0.6615583300590515, 0.6584667563438416, 0.6554597020149231, 0.6524897217750549, 0.6495572924613953, 0.64666348695755, 0.6438047289848328, 0.6409822106361389, 0.6381937861442566, 0.6354406476020813, 0.6327196955680847, 0.6300320029258728, 0.6273770928382874, 0.6248331665992737, 0.6222445368766785, 0.6196865439414978, 0.6171590685844421, 0.6146624684333801, 0.612196147441864, 0.6097577214241028, 0.6072342991828918, 0.6047226786613464, 0.6022831797599792, 0.5999700427055359, 0.597683846950531, 0.5954423546791077, 0.5932092070579529, 0.5910018086433411, 0.588818371295929, 0.5866605639457703, 0.5845263600349426, 0.5824882388114929, 0.5804010033607483, 0.5783349871635437, 0.5762946009635925, 0.5744147896766663, 0.5724166035652161, 0.5704419016838074, 0.5684865117073059, 0.5665550827980042, 0.5647520422935486, 0.5628611445426941, 0.5609893202781677, 0.5591378808021545, 0.5573064684867859, 0.5554937720298767, 0.553699791431427, 0.5519253611564636, 0.5501692891120911, 0.548454225063324, 0.5467382073402405, 0.5450182557106018, 0.5433351397514343, 0.541681706905365, 0.5400324463844299, 0.5386162400245667, 0.536952793598175, 0.5353558659553528, 0.5337726473808289, 0.5322074294090271, 0.5306574702262878, 0.5291232466697693, 0.5276646018028259, 0.5261614918708801, 0.5246731638908386, 0.5231980681419373, 0.5217387080192566, 0.5202937722206116, 0.5188619494438171, 0.5174444317817688, 0.5160402655601501, 0.5148904919624329, 0.5134174227714539, 0.5120552182197571, 0.5107056498527527, 0.5093699097633362, 0.5079683661460876, 0.506657063961029, 0.5053587555885315, 0.5039125084877014, 0.502638041973114, 0.5012708306312561, 0.5000200867652893, 0.4987805485725403, 0.4975528120994568, 0.496334969997406, 0.49512940645217896, 0.4939337372779846, 0.4927486777305603, 0.49148184061050415, 0.4903162121772766, 0.4891602396965027, 0.488015353679657, 0.4868789315223694, 0.4857538342475891, 0.4846370816230774, 0.48307496309280396, 0.48198026418685913, 0.4808947443962097, 0.47981923818588257, 0.4787521958351135, 0.4776943325996399, 0.4766455292701721, 0.475605309009552, 0.47455090284347534, 0.47348541021347046, 0.47247081995010376, 0.4714658856391907, 0.47047001123428345, 0.4694826006889343, 0.46850425004959106, 0.4675348401069641, 0.4665742516517639, 0.46562308073043823, 0.4646802544593811, 0.4637468457221985, 0.4628235697746277, 0.46149247884750366, 0.46058815717697144, 0.4596930146217346, 0.45880669355392456, 0.4579290747642517, 0.4570605158805847, 0.45620161294937134, 0.45535165071487427, 0.45450514554977417, 0.45367544889450073, 0.45285362005233765, 0.4520421624183655, 0.4512394070625305, 0.4504469037055969, 0.4496627449989319, 0.44888848066329956, 0.44812363386154175, 0.4473668932914734, 0.44662076234817505, 0.4458830952644348, 0.44515496492385864, 0.4444360136985779, 0.4437251687049866, 0.44302433729171753, 0.4423319697380066, 0.44164830446243286, 0.44097381830215454, 0.4403071999549866, 0.4396488070487976, 0.4389992356300354, 0.4383576512336731, 0.4377245306968689, 0.4371005892753601, 0.4364846348762512, 0.4358755946159363, 0.4352746605873108, 0.43468207120895386, 0.4340980648994446, 0.43352001905441284, 0.43295198678970337, 0.43239063024520874, 0.43192726373672485, 0.4313787817955017, 0.4308369755744934, 0.430303156375885, 0.4297770857810974, 0.4292585253715515, 0.42874640226364136, 0.428242027759552, 0.4277445673942566, 0.4272539019584656, 0.42677146196365356, 0.42629534006118774, 0.4258270859718323, 0.4253649115562439, 0.4249104857444763, 0.42446380853652954, 0.42402297258377075, 0.42358964681625366, 0.4231641888618469, 0.4227455258369446, 0.4223344922065735, 0.4219309687614441, 0.4218488335609436, 0.4214619994163513, 0.4210842251777649, 0.42071348428726196, 0.42035144567489624, 0.4194822907447815, 0.4191400408744812, 0.4188799262046814, 0.41855496168136597, 0.4180986285209656, 0.4177890419960022, 0.4174885153770447, 0.4171958565711975, 0.41691190004348755, 0.41663700342178345, 0.41636985540390015, 0.41611140966415405, 0.4158615469932556, 0.41562026739120483, 0.4153885245323181, 0.4151666760444641, 0.41495198011398315, 0.4147488474845886, 0.41455382108688354], forces=[(0.0016794424736872315, -0.0067677549086511135, -0.006273879669606686), (-0.009907140396535397, -0.03614427149295807, -0.07788732647895813), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0023153871297836304, 0.008525948040187359, -0.008054987527430058), (-0.00040015505510382354, -0.016842622309923172, 0.026828749105334282), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0033726447727531195, 0.00028400521841831505, 0.015077393501996994), (0.0009691755403764546, 0.0005067589227110147, 0.025414064526557922), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007553830277174711, -0.002289190888404846, 0.010998775251209736), (-0.08790452778339386, 0.04151115193963051, 0.01261222269386053), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005550806876271963, 0.006324660964310169, 0.010893314145505428), (-0.007845536805689335, -0.0049938722513616085, 0.044302236288785934), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005717437714338303, 0.0005768050905317068, 0.021719394251704216), (-0.004010017961263657, 0.02132188156247139, 0.0393814854323864), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.020861579105257988, -0.01339749339967966, -0.014145372435450554), (-0.04101976379752159, -0.0013879837933927774, 0.02040538191795349), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013401099480688572, 0.003406291827559471, -0.009149830788373947), (0.00226121605373919, -0.004954130854457617, 0.02828017622232437), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004223451018333435, -0.0038993177004158497, 0.013570851646363735), (-0.002335625933483243, 0.004417341202497482, 0.02936909906566143), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.10215254873037338, 0.028337307274341583, 0.029515203088521957), (0.038212090730667114, -0.026931041851639748, -0.039620280265808105)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=47, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.7998878955841064, -0.02242899127304554, 16.933372497558594), (1.4069998264312744, 1.4280915260314941, 18.837419509887695), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.82119083404541, 2.812166929244995, 16.884197235107422), (1.4131306409835815, 4.193685531616211, 18.818500518798828), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.7995171546936035, 5.650620460510254, 16.9272518157959), (1.536553978919983, 7.080320835113525, 18.98114585876465), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.6406755447387695, -0.022771446034312248, 16.93541145324707), (4.220149040222168, 1.4234343767166138, 18.840450286865234), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.628484725952148, 2.811713218688965, 16.884687423706055), (4.2168803215026855, 4.206961631774902, 18.83755874633789), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.63756799697876, 5.650786876678467, 16.92496681213379), (4.211603164672852, 7.036492347717285, 18.876623153686523), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.451549530029297, -0.026952950283885002, 16.955411911010742), (7.033882141113281, 1.4286553859710693, 18.8391170501709), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.456327438354492, 2.815528154373169, 16.897018432617188), (7.019857883453369, 4.196786403656006, 18.81877899169922), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.450973510742188, 5.667668342590332, 16.96389389038086), (6.888765811920166, 7.074482440948486, 18.986989974975586), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (8.470233917236328, 6.933920860290527, 20.413467407226562), (8.433014869689941, 7.7792277336120605, 20.907697677612305)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.4240604043006897, energy_trajectory=[1.166081428527832, 1.1515460014343262, 1.142435073852539, 1.1334691047668457, 1.1246378421783447, 1.1159470081329346, 1.107358455657959, 1.098846435546875, 1.0904436111450195, 1.0820708274841309, 1.07375168800354, 1.0663940906524658, 1.0584068298339844, 1.0508205890655518, 1.0433993339538574, 1.036113977432251, 1.0294246673583984, 1.0223863124847412, 1.0156564712524414, 1.0092966556549072, 1.0030851364135742, 0.9967972636222839, 0.9909120202064514, 0.9851124882698059, 0.9792999625205994, 0.973733127117157, 0.968139111995697, 0.9627603888511658, 0.9574872851371765, 0.9522784352302551, 0.9471504092216492, 0.9421046376228333, 0.937122642993927, 0.9322064518928528, 0.9272865653038025, 0.9224978089332581, 0.917769730091095, 0.9130989909172058, 0.9084823727607727, 0.9039179682731628, 0.8993789553642273, 0.8949103951454163, 0.890619695186615, 0.8862258791923523, 0.8818846344947815, 0.8775829672813416, 0.8733188509941101, 0.8690895438194275, 0.8648963570594788, 0.860736072063446, 0.8566083312034607, 0.8524420857429504, 0.8483749032020569, 0.8443424105644226, 0.8403427004814148, 0.8364018797874451, 0.8324766755104065, 0.8285871148109436, 0.8247341513633728, 0.8209120631217957, 0.8170756697654724, 0.8132889866828918, 0.8096347451210022, 0.8059174418449402, 0.8022207617759705, 0.7985449433326721, 0.7948890328407288, 0.7912515997886658, 0.787634551525116, 0.7840378880500793, 0.7804567217826843, 0.7768990397453308, 0.7733613848686218, 0.7698439955711365, 0.7663480639457703, 0.7629562020301819, 0.7597251534461975, 0.7562866806983948, 0.7528677582740784, 0.7494702935218811, 0.7460920214653015, 0.742732584476471, 0.7393925786018372, 0.7360706925392151, 0.7327688336372375, 0.7294846177101135, 0.7262960076332092, 0.7230470776557922, 0.719740092754364, 0.7165290713310242, 0.7133347392082214, 0.7101585268974304, 0.7069982886314392, 0.7038740515708923, 0.7007455229759216, 0.6976353526115417, 0.6946414113044739, 0.6914508938789368, 0.6883965134620667, 0.6859659552574158, 0.6829537749290466, 0.6799582839012146, 0.6771480441093445, 0.6741815209388733, 0.6712446808815002, 0.668308675289154, 0.665389358997345, 0.6624838709831238, 0.6595938801765442, 0.6567193865776062, 0.6538593173027039, 0.6510159373283386, 0.6481872200965881, 0.645373523235321, 0.6425781846046448, 0.6397989392280579, 0.6370373368263245, 0.6342917084693909, 0.6315634846687317, 0.6288543343544006, 0.6261623501777649, 0.6234875321388245, 0.6208315491676331, 0.6181872487068176, 0.6155684590339661, 0.6128537058830261, 0.6102682948112488, 0.6076990962028503, 0.605147659778595, 0.6026127934455872, 0.6000966429710388, 0.5975961089134216, 0.595112144947052, 0.5926451086997986, 0.5901003479957581, 0.5876107811927795, 0.5853049159049988, 0.5829057097434998, 0.580521285533905, 0.5781523585319519, 0.5757985711097717, 0.5734596848487854, 0.5711360573768616, 0.5688264966011047, 0.5665330290794373, 0.5642551779747009, 0.561993420124054, 0.5598099827766418, 0.5573433041572571, 0.55512934923172, 0.55293208360672, 0.5508175492286682, 0.5486573576927185, 0.5465161204338074, 0.5443957448005676, 0.5422963500022888, 0.5402180552482605, 0.5381616950035095, 0.536128580570221, 0.5341165661811829, 0.5321294665336609, 0.5303307175636292, 0.5283892750740051, 0.5264621376991272, 0.5246357321739197, 0.522767961025238, 0.5209481120109558, 0.5191261172294617, 0.5173283219337463, 0.5155536532402039, 0.5138019919395447, 0.5119753479957581, 0.5104557871818542, 0.5087726712226868, 0.5070038437843323, 0.5053616166114807, 0.5037397742271423, 0.5021374821662903, 0.5005528330802917, 0.4988784193992615, 0.4972136616706848, 0.49568599462509155, 0.49417370557785034, 0.49275845289230347, 0.4912779927253723, 0.4898146986961365, 0.4883653521537781, 0.48693162202835083, 0.48551350831985474, 0.48410993814468384, 0.48272305727005005, 0.4813510775566101, 0.4799957871437073, 0.4786568284034729, 0.4773326516151428, 0.47611337900161743, 0.4748230576515198, 0.4735490679740906, 0.4722922444343567, 0.47105199098587036, 0.46982890367507935, 0.4686235785484314, 0.46743613481521606, 0.46626609563827515, 0.46511441469192505, 0.4639813303947449, 0.46286505460739136, 0.4616941809654236, 0.4606160521507263, 0.4595566391944885, 0.45851415395736694, 0.45749014616012573, 0.45672065019607544, 0.45604342222213745, 0.45496875047683716, 0.4539260268211365, 0.45299309492111206, 0.45208340883255005, 0.451201856136322, 0.45034533739089966, 0.4495139718055725, 0.4487493634223938, 0.4479648470878601, 0.44720298051834106, 0.44646137952804565, 0.44574040174484253, 0.44503968954086304, 0.4442749619483948, 0.44361311197280884, 0.4434426426887512, 0.4428158402442932, 0.4426339268684387, 0.442039430141449, 0.44146090745925903, 0.44089776277542114, 0.44025009870529175, 0.4395514130592346, 0.4390351176261902, 0.4385327696800232, 0.43804460763931274, 0.4375919699668884, 0.4370872378349304, 0.4366411566734314, 0.4362073540687561, 0.4357866644859314, 0.4354401230812073, 0.43504267930984497, 0.43465620279312134, 0.4342799782752991, 0.4339146018028259, 0.4335586428642273, 0.43321341276168823, 0.4328765273094177, 0.4325506091117859, 0.43223220109939575, 0.4319224953651428, 0.43162184953689575, 0.43132930994033813, 0.43104416131973267, 0.4307669997215271, 0.43049687147140503, 0.4301995635032654, 0.429945170879364, 0.42969805002212524, 0.42945653200149536, 0.4292216897010803, 0.4289936423301697, 0.4287709593772888, 0.4285542368888855, 0.42834383249282837, 0.4281385540962219, 0.4279389977455139, 0.42768198251724243, 0.4275246262550354, 0.4273379445075989, 0.4271569848060608, 0.42700594663619995, 0.42683500051498413, 0.42666906118392944, 0.42650872468948364, 0.42629510164260864, 0.4262273907661438, 0.4260815978050232, 0.4259396195411682, 0.4258959889411926, 0.4257623553276062, 0.4256318211555481, 0.42550379037857056, 0.4253794550895691, 0.42525798082351685, 0.4251399636268616, 0.4250243306159973, 0.4249116778373718, 0.42486506700515747, 0.42475706338882446, 0.42446380853652954, 0.424360454082489, 0.4242585301399231, 0.42415910959243774, 0.4240604043006897], forces=[(0.024332955479621887, 0.018360381945967674, -0.0059559824876487255), (0.004010051488876343, -0.001750629162415862, 0.03388448804616928), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.00028009054949507117, 0.0073832012712955475, 0.03374422341585159), (-0.001732697943225503, 0.017569340765476227, 0.048680588603019714), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.021035317331552505, -0.006202416028827429, 0.0021608970127999783), (-0.0006958736339583993, -0.007034483831375837, -0.0728277638554573), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004330526106059551, 0.01214150432497263, -0.003729152726009488), (0.005112462677061558, -0.009393417276442051, 0.0385889932513237), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0057325721718370914, 0.0052905757911503315, 0.03475749492645264), (0.0035158139653503895, 0.008493286557495594, 0.039843156933784485), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007380392402410507, -0.0033693129662424326, 0.012150051072239876), (0.03961794450879097, 0.00691821938380599, 0.01157979667186737), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008788300678133965, 0.018331270664930344, -0.01089315116405487), (0.002500629983842373, -0.011564857326447964, 0.033572591841220856), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0005433960468508303, 0.003078789683058858, 0.029266785830259323), (0.013775049708783627, 0.01261233352124691, 0.05100483447313309), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01314786821603775, -0.019443055614829063, -0.014320801943540573), (0.10188179463148117, -0.0352364219725132, -0.03593745082616806), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.18379154801368713, 0.009894552640616894, 0.14703889191150665), (0.07954909652471542, 0.07449289411306381, 0.005463622976094484)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=48, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8432538509368896, 0.013245171867311, 16.931110382080078), (1.3887126445770264, 1.44502854347229, 18.821685791015625), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8318428993225098, 2.862696647644043, 16.915504455566406), (1.3876705169677734, 4.2499775886535645, 18.82461166381836), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8452646732330322, 5.678079605102539, 16.952531814575195), (1.386343240737915, 7.09170389175415, 18.825389862060547), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.619452476501465, 0.012423057109117508, 16.930370330810547), (4.229303359985352, 1.5320498943328857, 18.865459442138672), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.62393856048584, 2.8628602027893066, 16.915294647216797), (4.212108612060547, 4.2507219314575195, 18.97915267944336), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.607800006866455, 5.67993688583374, 16.96224021911621), (4.181331157684326, 7.344329833984375, 19.03837776184082), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.46298599243164, 0.016488442197442055, 16.88041877746582), (7.061394214630127, 1.438459038734436, 18.820390701293945), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.460243225097656, 2.8307018280029297, 16.879953384399414), (7.065221786499023, 4.243715286254883, 18.817407608032227), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.460371971130371, 5.654227256774902, 16.894489288330078), (7.078328609466553, 7.091495037078857, 18.81560707092285), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.327679634094238, 6.015013217926025, 20.591327667236328), (3.4838624000549316, 6.091935157775879, 21.089021682739258)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5935119986534119, energy_trajectory=[1.122513771057129, 1.1091232299804688, 1.1008245944976807, 1.0927016735076904, 1.0847609043121338, 1.0769433975219727, 1.0691895484924316, 1.0614287853240967, 1.0541691780090332, 1.0470049381256104, 1.0396599769592285, 1.0325510501861572, 1.0256726741790771, 1.0192856788635254, 1.0128059387207031, 1.0061233043670654, 0.9996563792228699, 0.9932639002799988, 0.9870581030845642, 0.9810230135917664, 0.9752079844474792, 0.9694170355796814, 0.9637430310249329, 0.9581299424171448, 0.9527257084846497, 0.9475314021110535, 0.9423899054527283, 0.9374943375587463, 0.9326202273368835, 0.9279463887214661, 0.9240618348121643, 0.9195614457130432, 0.9151917099952698, 0.9094268679618835, 0.9054703116416931, 0.9013984799385071, 0.8975340723991394, 0.893795907497406, 0.8901810050010681, 0.8866872191429138, 0.8833314776420593, 0.88006991147995, 0.87692791223526, 0.8739015460014343, 0.8709987998008728, 0.8682090640068054, 0.8655608296394348, 0.8629966378211975, 0.8605512976646423, 0.8582044243812561, 0.8558724522590637, 0.8537793755531311, 0.8518020510673523, 0.8501810431480408, 0.8484355807304382, 0.8468019366264343, 0.8452751040458679, 0.8439485430717468, 0.8425912261009216, 0.8411757349967957, 0.8401032090187073, 0.8389819264411926, 0.837739884853363, 0.8366939425468445, 0.835669219493866, 0.8346579670906067, 0.8336039185523987, 0.8326064944267273, 0.8316165804862976, 0.8308563828468323, 0.830021321773529, 0.8290618062019348, 0.8281225562095642, 0.8272097706794739, 0.826154887676239, 0.8253172039985657, 0.8243582844734192, 0.8235641121864319, 0.8228775858879089, 0.8222475647926331, 0.8216726183891296, 0.8211506009101868, 0.8206797242164612, 0.8202541470527649, 0.8198708891868591, 0.819525420665741, 0.8192149996757507, 0.8189330697059631, 0.8186782002449036, 0.8184460997581482, 0.8180434107780457, 0.8178473114967346, 0.817667543888092, 0.8174987435340881, 0.8173786997795105, 0.817229688167572, 0.8170872330665588, 0.8169493079185486, 0.8168156743049622, 0.8166835904121399, 0.8165528178215027, 0.816422164440155, 0.8162886500358582, 0.8161523938179016, 0.8160129189491272, 0.8157011866569519, 0.8155515789985657, 0.8153967261314392, 0.8152264952659607, 0.8151063323020935, 0.8149351477622986, 0.8147570490837097, 0.814573347568512, 0.8143821358680725, 0.8141854405403137, 0.8139813542366028, 0.8137688040733337, 0.8135491013526917, 0.8133220076560974, 0.8130857348442078, 0.8128432631492615, 0.8125914931297302, 0.8123323321342468, 0.8120632767677307, 0.8117853999137878, 0.8114990592002869, 0.8112021088600159, 0.8108946681022644, 0.8105277419090271, 0.810279905796051, 0.8098017573356628, 0.8094537854194641, 0.8090927004814148, 0.808718740940094, 0.8082838654518127, 0.8078847527503967, 0.8074727654457092, 0.8070459961891174, 0.8066056370735168, 0.8061509728431702, 0.8056824803352356, 0.8051984906196594, 0.8047018647193909, 0.804189145565033, 0.804047167301178, 0.8035059571266174, 0.8029500842094421, 0.8023785948753357, 0.800380527973175, 0.7997769713401794, 0.7991591095924377, 0.7984934449195862, 0.7978456616401672, 0.7971829771995544, 0.7964876294136047, 0.7957985997200012, 0.7950941920280457, 0.794374406337738, 0.7936411499977112, 0.7928916811943054, 0.7921292185783386, 0.7913520932197571, 0.7905612587928772, 0.7897538542747498, 0.7889332175254822, 0.7880983948707581, 0.7872485518455505, 0.7863866686820984, 0.7855103611946106, 0.7846220135688782, 0.7837221026420593, 0.7828120589256287, 0.7818889021873474, 0.7809565663337708, 0.7800156474113464, 0.7790641188621521, 0.7780868411064148, 0.7771139740943909, 0.7761333584785461, 0.7750763297080994, 0.7740771174430847, 0.7730688452720642, 0.7720513939857483, 0.7710244059562683, 0.7697311043739319, 0.7686818242073059, 0.7676240801811218, 0.7665840983390808, 0.7655059695243835, 0.7644160389900208, 0.7633134722709656, 0.762151300907135, 0.7610259652137756, 0.7598859667778015, 0.7587328553199768, 0.7575648427009583, 0.7562550902366638, 0.7550646662712097, 0.7539470791816711, 0.752733051776886, 0.7515073418617249, 0.7502698302268982, 0.7489058375358582, 0.7476418614387512, 0.7463664412498474, 0.7450792193412781, 0.7437806725502014, 0.7424697279930115, 0.7411460280418396, 0.7398112416267395, 0.7384639382362366, 0.7371078133583069, 0.7390503287315369, 0.7376845479011536, 0.736305296421051, 0.734913170337677, 0.7335116267204285, 0.732098400592804, 0.7306752800941467, 0.7292391657829285, 0.7277918457984924, 0.7263340353965759, 0.7248634696006775, 0.7233826518058777, 0.7218926548957825, 0.7203921675682068, 0.7188804745674133, 0.7173587679862976, 0.7156336903572083, 0.7140973210334778, 0.7125533223152161, 0.7110022902488708, 0.709445059299469, 0.7078811526298523, 0.7063136696815491, 0.7047409415245056, 0.7031640410423279, 0.7015835642814636, 0.6999984383583069, 0.6984099745750427, 0.6968169808387756, 0.6952202916145325, 0.6936153769493103, 0.6920110583305359, 0.6905110478401184, 0.6888934969902039, 0.6872707009315491, 0.6856431365013123, 0.6840088963508606, 0.6823691725730896, 0.6807215809822083, 0.6790681481361389, 0.6767587065696716, 0.6750585436820984, 0.6733843684196472, 0.6717045903205872, 0.6699259877204895, 0.6682345271110535, 0.6665343642234802, 0.6648312211036682, 0.6631233096122742, 0.6614089608192444, 0.6596898436546326, 0.6579652428627014, 0.6562374234199524, 0.6545034050941467, 0.6527643799781799, 0.6510211825370789, 0.6492714285850525, 0.6475188136100769, 0.6457602381706238, 0.6439976096153259, 0.6422293782234192, 0.6399841904640198, 0.6382042765617371, 0.6364240050315857, 0.6346396803855896, 0.6328372359275818, 0.6310474276542664, 0.6292527318000793, 0.6274538636207581, 0.6256521344184875, 0.6238465905189514, 0.6220363974571228, 0.6202231049537659, 0.6184040904045105, 0.6165805459022522, 0.6147515177726746, 0.6129167675971985, 0.6110779643058777, 0.6092329621315002, 0.6073855757713318, 0.6055310368537903, 0.6036741137504578, 0.6026464104652405, 0.6007828116416931, 0.5989179015159607, 0.5970502495765686, 0.5951808094978333, 0.5935119986534119], forces=[(-0.015446985140442848, 0.034967128187417984, 0.03073890693485737), (0.011061730794608593, 0.007022916339337826, 0.08515038341283798), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009594995528459549, 0.032241467386484146, 0.07365132868289948), (0.0018862176220864058, 0.026128049939870834, 0.08257215470075607), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01347406581044197, 0.0037429360672831535, 0.02514096535742283), (0.003816876094788313, 0.009428226388990879, 0.06259023398160934), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009851183742284775, 0.03469487652182579, 0.032379936426877975), (0.007631476037204266, -0.02435680478811264, 0.07029911130666733), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004401844460517168, 0.028474468737840652, 0.06649619340896606), (-0.005417659413069487, 0.0736149400472641, 0.15942174196243286), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.010729041881859303, 0.0008601864101365209, 0.014851762913167477), (0.03538805618882179, -0.1702142059803009, -0.11387612670660019), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0011998829431831837, 0.013917242176830769, 0.03991302102804184), (-0.003046309109777212, 0.014419288374483585, 0.08365672081708908), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0110945338383317, 0.006405793596059084, 0.050799980759620667), (0.002447428647428751, 0.02653372660279274, 0.0808732882142067), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0040003652684390545, 0.0038146672304719687, 0.0362313874065876), (-0.012689158320426941, 0.015607578679919243, 0.06260068714618683), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03442879766225815, -0.36452654004096985, -0.17071467638015747), (0.013622951693832874, -0.17606109380722046, -0.10944774746894836)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=49, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8167269229888916, -0.002697839867323637, 16.885629653930664), (1.403368353843689, 1.3870915174484253, 18.826772689819336), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7841150760650635, 2.8370988368988037, 16.92885398864746), (1.4201112985610962, 4.251245021820068, 19.005918502807617), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.78806471824646, 5.6239166259765625, 16.926429748535156), (1.403792381286621, 7.0703816413879395, 18.833871841430664), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.62758731842041, -0.004576418548822403, 16.8850040435791), (4.207948207855225, 1.392032265663147, 18.83173370361328), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.634958267211914, 2.8374297618865967, 16.936893463134766), (4.14097785949707, 4.22569465637207, 18.874080657958984), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.64005184173584, 5.616541385650635, 16.938880920410156), (4.209061622619629, 7.065817832946777, 18.832902908325195), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.457056045532227, -0.0029639892745763063, 16.897659301757812), (7.018911838531494, 1.3776096105575562, 18.820960998535156), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.43649673461914, 2.849414348602295, 16.9681453704834), (6.803580284118652, 4.2833662033081055, 19.033140182495117), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.440568923950195, 5.613518238067627, 16.960908889770508), (7.027475833892822, 7.076833248138428, 18.83397102355957), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (8.185487747192383, 4.138391971588135, 20.56304931640625), (8.009668350219727, 4.927665710449219, 21.124717712402344)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.5742526650428772, energy_trajectory=[1.1337854862213135, 1.121617078781128, 1.1133456230163574, 1.1050946712493896, 1.0973398685455322, 1.089332103729248, 1.0815246105194092, 1.0738317966461182, 1.0662562847137451, 1.0588016510009766, 1.0513529777526855, 1.0441086292266846, 1.0369584560394287, 1.0301663875579834, 1.0235776901245117, 1.016800880432129, 1.0103089809417725, 1.0039315223693848, 0.9976899027824402, 0.9915880560874939, 0.9856260418891907, 0.9797981381416321, 0.9741533398628235, 0.9687307476997375, 0.9633302092552185, 0.9580698609352112, 0.952910840511322, 0.9481167197227478, 0.9432671666145325, 0.939465343952179, 0.9349189400672913, 0.9304812550544739, 0.9261731505393982, 0.9219967722892761, 0.9181891083717346, 0.9142553210258484, 0.9104817509651184, 0.9067701697349548, 0.9031731486320496, 0.8996886610984802, 0.8963112235069275, 0.8930391669273376, 0.8898710608482361, 0.8867462277412415, 0.8837845921516418, 0.8808115124702454, 0.8780373930931091, 0.8753549456596375, 0.872667133808136, 0.8701644539833069, 0.8677147030830383, 0.8654147982597351, 0.863178551197052, 0.8610287308692932, 0.8589841723442078, 0.8570302128791809, 0.8552462458610535, 0.8536247611045837, 0.8520577549934387, 0.8505768179893494, 0.8491745591163635, 0.8478389382362366, 0.8463878035545349, 0.8451189398765564, 0.8438521027565002, 0.842689573764801, 0.841555655002594, 0.8404439091682434, 0.8393538594245911, 0.8382840752601624, 0.837229311466217, 0.8363979458808899, 0.8353773951530457, 0.8343600630760193, 0.8333559632301331, 0.8323630690574646, 0.831382691860199, 0.8304138779640198, 0.8294575810432434, 0.8285141587257385, 0.8275824189186096, 0.8266631960868835, 0.8257558941841125, 0.8248627781867981, 0.8239808678627014, 0.8230498433113098, 0.8222150206565857, 0.8213685154914856, 0.8205350041389465, 0.8197123408317566, 0.8188993334770203, 0.8180963397026062, 0.8173009753227234, 0.8165125250816345, 0.8157983422279358, 0.8149110674858093, 0.8141387104988098, 0.8133696913719177, 0.8127079606056213, 0.8119432330131531, 0.8111799359321594, 0.8104251027107239, 0.8096612095832825, 0.8088971972465515, 0.8083191514015198, 0.8075513243675232, 0.8067818284034729, 0.8055859208106995, 0.8048108220100403, 0.8040322661399841, 0.8032510876655579, 0.8024694323539734, 0.801685631275177, 0.800900399684906, 0.8001206517219543, 0.7993327975273132, 0.7985427975654602, 0.7977526783943176, 0.7969678044319153, 0.7961753010749817, 0.7953832745552063, 0.7945899367332458, 0.7937958836555481, 0.7930009961128235, 0.7922555804252625, 0.7914591431617737, 0.7910727858543396, 0.7902745604515076, 0.7894743084907532, 0.788672149181366, 0.7878679633140564, 0.7870619893074036, 0.7862545847892761, 0.7854434847831726, 0.7846308350563049, 0.783720076084137, 0.7828999161720276, 0.78207927942276, 0.7812556624412537, 0.7803818583488464, 0.7795528769493103, 0.7786752581596375, 0.7778429388999939, 0.7770089507102966, 0.7761723399162292, 0.7753334641456604, 0.7744929194450378, 0.7736497521400452, 0.772804319858551, 0.7719548344612122, 0.7711027264595032, 0.7702484726905823, 0.7693905234336853, 0.7685288786888123, 0.7676635384559631, 0.7667933106422424, 0.7659186720848083, 0.7650380730628967, 0.7641518712043762, 0.7632595896720886, 0.7623729109764099, 0.7614671587944031, 0.7605531811714172, 0.7611199021339417, 0.7602010369300842, 0.7592747807502747, 0.7582604289054871, 0.7573172450065613, 0.7563648819923401, 0.7554040551185608, 0.7544348835945129, 0.7534564137458801, 0.7524687647819519, 0.751471221446991, 0.7504652142524719, 0.7495396733283997, 0.7485164999961853, 0.7474847435951233, 0.7464439272880554, 0.7453927397727966, 0.7440796494483948, 0.7430141568183899, 0.7419379353523254, 0.7408519387245178, 0.7397560477256775, 0.7386500239372253, 0.7375323176383972, 0.7364049553871155, 0.7352665066719055, 0.7341172099113464, 0.7329580187797546, 0.7317879796028137, 0.7306080460548401, 0.7294159531593323, 0.7282143235206604, 0.7270031571388245, 0.7257824540138245, 0.7245870232582092, 0.7233495116233826, 0.7221053242683411, 0.7208523154258728, 0.7195919156074524, 0.7183739542961121, 0.7171009182929993, 0.7158229947090149, 0.7145410180091858, 0.7132540345191956, 0.7119625210762024, 0.71066814661026, 0.7093639969825745, 0.7080615162849426, 0.7067558169364929, 0.7054463028907776, 0.7039969563484192, 0.7026777863502502, 0.7013550400733948, 0.7000275254249573, 0.6986951231956482, 0.6972466111183167, 0.6959075331687927, 0.6945639252662659, 0.6932159066200256, 0.691862165927887, 0.6905049681663513, 0.6891441941261292, 0.6877798438072205, 0.6864121556282043, 0.6850407719612122, 0.6836665272712708, 0.6821481585502625, 0.6807698607444763, 0.6793890595436096, 0.6780044436454773, 0.6766178011894226, 0.6752284169197083, 0.6738360524177551, 0.6724414229393005, 0.6710440516471863, 0.6696439385414124, 0.6676722168922424, 0.6662662625312805, 0.6648569703102112, 0.6634431481361389, 0.6620249152183533, 0.6606021523475647, 0.6591749787330627, 0.6577429175376892, 0.6563054919242859, 0.6548623442649841, 0.653401792049408, 0.6519481539726257, 0.6504871249198914, 0.6490183472633362, 0.648893415927887, 0.6474029421806335, 0.6459034085273743, 0.6443957686424255, 0.6428783535957336, 0.6413523554801941, 0.6398162245750427, 0.6382710337638855, 0.6367151141166687, 0.6351507306098938, 0.6335775256156921, 0.6319940686225891, 0.6307321190834045, 0.6291332840919495, 0.6275283694267273, 0.6259170174598694, 0.6242993474006653, 0.6226769089698792, 0.6210501790046692, 0.6195817589759827, 0.6179487109184265, 0.6163120865821838, 0.6146726012229919, 0.6130308508872986, 0.6113867163658142, 0.6097405552864075, 0.6080600619316101, 0.6064079403877258, 0.6047530770301819, 0.6030966639518738, 0.6015207171440125, 0.5998530983924866, 0.598182737827301, 0.596510112285614, 0.5948337912559509, 0.593139111995697, 0.5914552807807922, 0.58976811170578, 0.5880774855613708, 0.5863850712776184, 0.5846900343894958, 0.5829927325248718, 0.5812953114509583, 0.5795037150382996, 0.5778064131736755, 0.5761120915412903, 0.5742526650428772], forces=[(-0.007870612666010857, 0.003356211818754673, 0.032180383801460266), (-0.021668691188097, 0.011296453885734081, 0.05931433290243149), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03206710144877434, 0.0061742281541228294, 0.04672062397003174), (-0.0390656404197216, 0.05021483451128006, 0.10929187387228012), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.028419749811291695, -0.0013612732291221619, 0.038769397884607315), (-0.01998748816549778, 0.01059982180595398, 0.059018224477767944), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008355386555194855, 0.004982602316886187, 0.02448803000152111), (-0.009510790929198265, 0.006185246631503105, 0.057914674282073975), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03891690447926521, -0.007441346067935228, -0.000604896224103868), (-0.0001287559134652838, 0.0011535416124388576, 0.05391043424606323), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04764143377542496, 0.02039928361773491, -0.005019119940698147), (-0.007133382838219404, -0.0002774460590444505, 0.0525338277220726), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01172065269201994, 0.007037431001663208, 0.02497161366045475), (-0.011244973167777061, 0.0218177679926157, 0.053003087639808655), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009005291387438774, 0.0018979564774781466, 0.0024620264302939177), (0.11813938617706299, -0.053611550480127335, -0.13105508685112), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015301669016480446, 0.012834704481065273, -0.01063631847500801), (-0.01649167202413082, -0.004594575613737106, 0.04987990856170654), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0938604548573494, -0.04910023882985115, -0.0784262865781784), (0.3692777752876282, 0.0028288711328059435, -0.20337916910648346)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=50, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.821838140487671, -0.010506991297006607, 16.878679275512695), (1.3959711790084839, 1.3678048849105835, 18.79425811767578), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.804548501968384, 2.84899640083313, 16.9572811126709), (1.1718308925628662, 4.246540069580078, 19.089672088623047), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8106536865234375, 5.599775791168213, 16.961393356323242), (1.407718539237976, 7.0713396072387695, 18.812313079833984), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.645205974578857, -0.007355938665568829, 16.86614418029785), (4.237542629241943, 1.3837052583694458, 18.79662322998047), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.633965969085693, 2.8258025646209717, 16.89487075805664), (4.291763782501221, 4.227758884429932, 18.916622161865234), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.643982887268066, 5.625075340270996, 16.89692497253418), (4.249507427215576, 7.066775321960449, 18.798505783081055), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.456300735473633, -0.020351571962237358, 16.870166778564453), (7.039138317108154, 1.3781009912490845, 18.799118041992188), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.486310958862305, 2.8328065872192383, 16.93143081665039), (6.998574733734131, 4.211827278137207, 18.847190856933594), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.500958442687988, 5.595330715179443, 16.951486587524414), (7.046444416046143, 7.056996822357178, 18.80609130859375), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (2.399231195449829, 4.222740173339844, 20.698366165161133), (2.3603639602661133, 3.242718458175659, 20.8157901763916)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.7578509449958801, energy_trajectory=[1.4655418395996094, 1.4537677764892578, 1.4423809051513672, 1.4320900440216064, 1.4226493835449219, 1.4135043621063232, 1.4046363830566406, 1.3960273265838623, 1.3877499103546143, 1.3795890808105469, 1.3715794086456299, 1.3636455535888672, 1.3561270236968994, 1.3483211994171143, 1.3408067226409912, 1.3332829475402832, 1.325989007949829, 1.318669319152832, 1.3113913536071777, 1.3041880130767822, 1.2970077991485596, 1.2899808883666992, 1.2829358577728271, 1.2759449481964111, 1.2690892219543457, 1.2622969150543213, 1.2555701732635498, 1.2489089965820312, 1.2422142028808594, 1.2356281280517578, 1.2291617393493652, 1.2226662635803223, 1.21632719039917, 1.2100584506988525, 1.203850269317627, 1.1977100372314453, 1.1917188167572021, 1.1856708526611328, 1.1797263622283936, 1.1740267276763916, 1.1682147979736328, 1.162435531616211, 1.1567473411560059, 1.1511197090148926, 1.1455566883087158, 1.1400518417358398, 1.134603500366211, 1.1292176246643066, 1.1238925457000732, 1.118621826171875, 1.1131889820098877, 1.108029842376709, 1.1029274463653564, 1.098172664642334, 1.0931851863861084, 1.0882527828216553, 1.0833768844604492, 1.0785582065582275, 1.073793649673462, 1.0690267086029053, 1.0643765926361084, 1.0599064826965332, 1.0553722381591797, 1.050896406173706, 1.0464787483215332, 1.0421550273895264, 1.037834882736206, 1.0335946083068848, 1.0294103622436523, 1.0252838134765625, 1.0212135314941406, 1.0172016620635986, 1.0132455825805664, 1.0093441009521484, 1.005497932434082, 1.0017058849334717, 0.9981289505958557, 0.9944217801094055, 0.990791380405426, 0.9872155785560608, 0.9836599230766296, 0.9801885485649109, 0.9767267107963562, 0.9733032584190369, 0.9699880480766296, 0.966723620891571, 0.9635096192359924, 0.9602743983268738, 0.9571606516838074, 0.9540982842445374, 0.9510847926139832, 0.9481191039085388, 0.9452045559883118, 0.9423373341560364, 0.9395167231559753, 0.9366764426231384, 0.9339520335197449, 0.9311384558677673, 0.9284107089042664, 0.9258251786231995, 0.9232842326164246, 0.920573890209198, 0.9181258082389832, 0.9157261252403259, 0.9133703112602234, 0.9110597968101501, 0.9087936282157898, 0.9065704941749573, 0.9041984677314758, 0.902067244052887, 0.8998948931694031, 0.8977720141410828, 0.8958542943000793, 0.893866240978241, 0.8919306397438049, 0.8900352120399475, 0.8881765007972717, 0.8863547444343567, 0.8846281170845032, 0.8827504515647888, 0.8810291886329651, 0.879338800907135, 0.8776804804801941, 0.8760516047477722, 0.8743831515312195, 0.8728070855140686, 0.8712714314460754, 0.8697486519813538, 0.8682512640953064, 0.8667783141136169, 0.8653282523155212, 0.8638997673988342, 0.8624942898750305, 0.8612121939659119, 0.8598476052284241, 0.8585017323493958, 0.8571766018867493, 0.8558844923973083, 0.8545923829078674, 0.8533819317817688, 0.8521217703819275, 0.8508797287940979, 0.84965580701828, 0.8484479784965515, 0.8472577929496765, 0.8459450602531433, 0.8447826504707336, 0.8438445925712585, 0.842716634273529, 0.8421749472618103, 0.8410664200782776, 0.8400465846061707, 0.8389679789543152, 0.8379022479057312, 0.8368573784828186, 0.8358317017555237, 0.8348281979560852, 0.8338443636894226, 0.8328790068626404, 0.8319345116615295, 0.8312047123908997, 0.830298125743866, 0.8294079899787903, 0.8285382390022278, 0.8276841044425964, 0.8268468976020813, 0.8258575797080994, 0.8249900937080383, 0.8242035508155823, 0.8234326243400574, 0.8226785063743591, 0.8219370245933533, 0.8212127089500427, 0.8205000758171082, 0.8198017477989197, 0.8191148638725281, 0.8184415698051453, 0.8174828886985779, 0.8173009753227234, 0.8166700005531311, 0.8158870339393616, 0.8152801394462585, 0.8146830201148987, 0.8140957951545715, 0.8135194182395935, 0.8129526972770691, 0.8123947978019714, 0.8118470311164856, 0.8113071322441101, 0.81077641248703, 0.810253918170929, 0.8097392916679382, 0.8092334866523743, 0.808642566204071, 0.8082701563835144, 0.8075992465019226, 0.8071222901344299, 0.8066527247428894, 0.8061910271644592, 0.8057348132133484, 0.8052864670753479, 0.8048543334007263, 0.8044176697731018, 0.803987443447113, 0.8035630583763123, 0.8031448721885681, 0.8027344346046448, 0.8023284077644348, 0.8019290566444397, 0.8015361428260803, 0.8012831807136536, 0.8008995652198792, 0.8005197644233704, 0.8001444935798645, 0.7997743487358093, 0.7994088530540466, 0.7990472912788391, 0.7986896634101868, 0.7983344197273254, 0.7979833483695984, 0.7976353764533997, 0.7973033785820007, 0.7969616055488586, 0.7966232895851135, 0.7962862849235535, 0.7960030436515808, 0.7954902052879333, 0.7951605916023254, 0.7948339581489563, 0.7945072054862976, 0.7941047549247742, 0.7937807440757751, 0.7934585213661194, 0.7931361794471741, 0.7928161025047302, 0.7924967408180237, 0.7921769022941589, 0.7918599247932434, 0.7915424704551697, 0.7912240624427795, 0.7907896637916565, 0.7904660105705261, 0.7901421189308167, 0.7898163199424744, 0.7894881367683411, 0.7891561388969421, 0.7888230681419373, 0.7884852290153503, 0.7881441712379456, 0.7877988219261169, 0.7874487042427063, 0.7870926260948181, 0.7867310643196106, 0.7863652110099792, 0.7863337397575378, 0.7859582304954529, 0.7855737805366516, 0.7851802706718445, 0.7847786545753479, 0.7843660712242126, 0.7838804125785828, 0.7834431529045105, 0.7829970717430115, 0.7825397849082947, 0.7820714116096497, 0.78159099817276, 0.7810963988304138, 0.780589759349823, 0.780069887638092, 0.779536783695221, 0.7789915204048157, 0.7784329056739807, 0.7778601050376892, 0.7772722840309143, 0.7766656279563904, 0.7760480046272278, 0.7754163146018982, 0.7747698426246643, 0.7741104960441589, 0.7734358906745911, 0.7726601958274841, 0.7719582915306091, 0.7712418437004089, 0.770510733127594, 0.7697636485099792, 0.7690029740333557, 0.7682283520698547, 0.7674391865730286, 0.766636312007904, 0.7658185362815857, 0.7649857401847839, 0.7641374468803406, 0.7632750868797302, 0.7623973488807678, 0.7615051865577698, 0.7605956196784973, 0.7596729397773743, 0.7598965764045715, 0.7588151097297668, 0.7578509449958801], forces=[(-0.01377445925027132, 0.020147627219557762, 0.06601515412330627), (-0.0017750951228663325, 0.10238701850175858, 0.2044091671705246), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.009751723147928715, -0.010341954417526722, -0.0033222362399101257), (0.03588633984327316, 0.16445598006248474, -0.41809120774269104), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.004181132186204195, 0.04781939089298248, -0.031595341861248016), (-0.024100517854094505, -0.0027965984772890806, 0.14607667922973633), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013798563741147518, 0.00897899828851223, 0.0625915676355362), (-0.02555185556411743, 0.02944009006023407, 0.16538050770759583), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.04598351940512657, 0.0140647878870368, 0.08350757509469986), (-0.20197205245494843, -0.004092197399586439, 0.24573558568954468), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.06637989729642868, -0.01235294621437788, 0.07510504126548767), (-0.02380962111055851, -0.01927562803030014, 0.1559423804283142), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.014213480055332184, 0.044652946293354034, 0.0651501789689064), (0.012526699341833591, 0.019036518409848213, 0.15341997146606445), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.07781106233596802, -0.007271739654242992, -0.002776411594823003), (-0.06958471238613129, 0.024193447083234787, 0.13184161484241486), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.15174275636672974, 0.1198447048664093, -0.1264479160308838), (-0.00038115272764116526, -0.011787652969360352, 0.14194294810295105), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.25436416268348694, -0.41903090476989746, -0.45520538091659546), (0.3191571533679962, 0.12621690332889557, 0.4317631423473358)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=51, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8077642917633057, 0.0009245116962119937, 16.919431686401367), (1.4198098182678223, 1.1877740621566772, 19.00604248046875), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.7962117195129395, 2.8094897270202637, 16.95979881286621), (1.4445290565490723, 4.2923808097839355, 19.00033950805664), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.8140926361083984, 5.621084213256836, 16.91594696044922), (1.4203494787216187, 6.991518974304199, 18.866527557373047), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.655852794647217, -0.015295577235519886, 16.872785568237305), (4.272655963897705, 1.378365159034729, 18.795604705810547), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.6504621505737305, 2.8207247257232666, 16.88616371154785), (4.271829128265381, 4.23544454574585, 18.814897537231445), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.651665210723877, 5.643309593200684, 16.87871742248535), (4.254833221435547, 7.038012981414795, 18.81995391845703), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.494269371032715, 0.0118244718760252, 16.938884735107422), (7.026076316833496, 1.3956116437911987, 18.81251335144043), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.50031566619873, 2.814999580383301, 16.9652156829834), (7.043215274810791, 4.236380100250244, 18.82225227355957), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.487743377685547, 5.621552467346191, 16.92796516418457), (7.040937900543213, 7.041323661804199, 18.825510025024414), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.379541277885437, 2.4435653686523438, 20.622360229492188), (2.2747247219085693, 2.395237445831299, 21.047178268432617)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.6142674088478088, energy_trajectory=[1.4653699398040771, 1.4542522430419922, 1.443547248840332, 1.4330430030822754, 1.4221365451812744, 1.4118733406066895, 1.4022202491760254, 1.3930611610412598, 1.3842942714691162, 1.375847339630127, 1.3679544925689697, 1.3601312637329102, 1.3523423671722412, 1.3447742462158203, 1.3372867107391357, 1.3299896717071533, 1.322922706604004, 1.3159306049346924, 1.3091022968292236, 1.3024036884307861, 1.2957918643951416, 1.2892882823944092, 1.2828822135925293, 1.2765800952911377, 1.2703659534454346, 1.2642624378204346, 1.2582457065582275, 1.252316951751709, 1.2464797496795654, 1.2407312393188477, 1.235072135925293, 1.2295007705688477, 1.2240142822265625, 1.2186148166656494, 1.2137179374694824, 1.208571434020996, 1.2034118175506592, 1.1983354091644287, 1.1933376789093018, 1.1884174346923828, 1.1835734844207764, 1.1789867877960205, 1.1742959022521973, 1.1695775985717773, 1.1649589538574219, 1.1606011390686035, 1.1561799049377441, 1.1517665386199951, 1.1474664211273193, 1.1431818008422852, 1.1390001773834229, 1.1348731517791748, 1.1307995319366455, 1.1267750263214111, 1.1227989196777344, 1.1188673973083496, 1.114980936050415, 1.1112139225006104, 1.1074175834655762, 1.103661060333252, 1.0999467372894287, 1.0962727069854736, 1.0926399230957031, 1.0890507698059082, 1.0855236053466797, 1.0820140838623047, 1.0785486698150635, 1.075124979019165, 1.0717439651489258, 1.0684032440185547, 1.0650992393493652, 1.0618305206298828, 1.0585963726043701, 1.0553929805755615, 1.0522141456604004, 1.0490608215332031, 1.045928955078125, 1.0428168773651123, 1.0395522117614746, 1.0364720821380615, 1.0334062576293945, 1.0303497314453125, 1.0273041725158691, 1.0242674350738525, 1.0212414264678955, 1.0182204246520996, 1.0152037143707275, 1.012195348739624, 1.0085639953613281, 1.0055735111236572, 1.002589464187622, 0.9996088147163391, 0.9966338276863098, 0.9936632513999939, 0.9906982779502869, 0.9877369999885559, 0.984779417514801, 0.9819377064704895, 0.9789919257164001, 0.9760287404060364, 0.9730889201164246, 0.9696558117866516, 0.966717541217804, 0.9637817740440369, 0.9608495831489563, 0.9579179883003235, 0.9550009369850159, 0.9520760178565979, 0.9491488337516785, 0.9465339779853821, 0.9436095356941223, 0.9406641125679016, 0.9377433657646179, 0.9348223805427551, 0.9319022297859192, 0.9289832711219788, 0.9260650277137756, 0.923144519329071, 0.9202257990837097, 0.9174086451530457, 0.914459764957428, 0.9115423560142517, 0.9086244702339172, 0.9056938290596008, 0.9027726054191589, 0.8998526930809021, 0.8969318270683289, 0.894016683101654, 0.8909763693809509, 0.8880525231361389, 0.8851283192634583, 0.8810587525367737, 0.8782365918159485, 0.8753208518028259, 0.872406542301178, 0.8694936633110046, 0.8665805459022522, 0.8636669516563416, 0.8607552647590637, 0.8578425049781799, 0.8549310564994812, 0.8520198464393616, 0.8491092324256897, 0.846199095249176, 0.8431231379508972, 0.8402188420295715, 0.8373139500617981, 0.8344115614891052, 0.8315092921257019, 0.8286206126213074, 0.8257624506950378, 0.8229020237922668, 0.8201393485069275, 0.8173735737800598, 0.814640462398529, 0.8119358420372009, 0.8092605471611023, 0.8062247633934021, 0.8036051392555237, 0.8010162711143494, 0.798455536365509, 0.79592365026474, 0.7934179902076721, 0.790941059589386, 0.7873527407646179, 0.7849438786506653, 0.7839587330818176, 0.7814144492149353, 0.7790722250938416, 0.7767557501792908, 0.7744627594947815, 0.7721938490867615, 0.7699494957923889, 0.767727792263031, 0.7655304074287415, 0.7633543610572815, 0.7612019181251526, 0.7590717673301697, 0.7569628357887268, 0.7548763155937195, 0.7528102993965149, 0.7507655024528503, 0.7486684918403625, 0.7466689944267273, 0.7443906664848328, 0.7424317002296448, 0.7404927611351013, 0.7385733723640442, 0.7366736531257629, 0.7347932457923889, 0.7329313158988953, 0.7310897707939148, 0.7292477488517761, 0.7274451851844788, 0.7256595492362976, 0.7238922715187073, 0.7221423983573914, 0.720410168170929, 0.7186008095741272, 0.7169014811515808, 0.7152209877967834, 0.7135576605796814, 0.711912214756012, 0.7102829813957214, 0.7086711525917053, 0.7066691517829895, 0.7050890326499939, 0.703524649143219, 0.7018886208534241, 0.7003565430641174, 0.6988398432731628, 0.6971989274024963, 0.6957157254219055, 0.6942470669746399, 0.6927946209907532, 0.6913550496101379, 0.6899322867393494, 0.6885227560997009, 0.6871277689933777, 0.6857475638389587, 0.6843811869621277, 0.6830286383628845, 0.681690514087677, 0.6803651452064514, 0.6790544390678406, 0.6777568459510803, 0.6764718890190125, 0.6752015948295593, 0.6741053462028503, 0.6728636622428894, 0.6716340184211731, 0.6704182028770447, 0.6692141890525818, 0.6680242419242859, 0.6668470501899719, 0.6656823754310608, 0.6644526124000549, 0.6636772751808167, 0.6625509858131409, 0.6614379286766052, 0.6603383421897888, 0.6592513918876648, 0.6581781506538391, 0.6571171879768372, 0.6560695767402649, 0.6553242802619934, 0.6543018221855164, 0.6532922387123108, 0.6522948145866394, 0.6513102650642395, 0.6503360867500305, 0.6493750214576721, 0.6484244465827942, 0.647487223148346, 0.6465614438056946, 0.645646870136261, 0.6447415947914124, 0.6438466906547546, 0.6429618000984192, 0.6420868039131165, 0.6412203907966614, 0.6403642296791077, 0.6395159363746643, 0.6386784911155701, 0.6378487944602966, 0.637028157711029, 0.636134922504425, 0.6352664828300476, 0.6344709992408752, 0.6354008316993713, 0.634615957736969, 0.6338382363319397, 0.6330673098564148, 0.6323036551475525, 0.6315459609031677, 0.6307947039604187, 0.630050003528595, 0.6293115019798279, 0.6285789608955383, 0.6280013918876648, 0.6272786259651184, 0.6265620589256287, 0.6258514523506165, 0.6251454949378967, 0.6244452595710754, 0.6237476468086243, 0.6230561137199402, 0.6223676800727844, 0.6216819882392883, 0.6209991574287415, 0.6203191876411438, 0.6196414828300476, 0.6189656853675842, 0.6182909607887268, 0.6176182627677917, 0.6169828772544861, 0.6163076758384705, 0.6156331896781921, 0.6149583458900452, 0.6142674088478088], forces=[(-0.007246584165841341, -0.030084582045674324, 0.029145022854208946), (0.05199893191456795, 0.148071750998497, 0.015155913308262825), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0020924813579767942, -0.020675363019108772, 0.005721926223486662), (-0.02077813632786274, -0.25747182965278625, 0.10435771942138672), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.020600374788045883, -0.04269032925367355, 0.06227010861039162), (-0.005204084794968367, -0.042961712926626205, 0.07314492762088776), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0313655287027359, 0.015649940818548203, 0.04820684716105461), (-0.09083253145217896, 0.02944219298660755, 0.16256378591060638), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008192210458219051, -0.011313249357044697, 0.043115463107824326), (-0.06534828990697861, -0.047175996005535126, 0.13148818910121918), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.013669610023498535, -0.020770562812685966, 0.03957411274313927), (-0.0008370628347620368, -0.006505651865154505, 0.08722225576639175), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.05274476855993271, -0.07780156284570694, -0.05894462391734123), (0.034860167652368546, -0.02164030261337757, 0.0967722162604332), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0006284601404331625, -0.031269848346710205, 0.006642209831625223), (0.021337611600756645, -0.013389740139245987, 0.09685772657394409), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015641408041119576, -0.027296708896756172, -0.002099683042615652), (0.021443847566843033, -0.0002258875611005351, 0.08487025648355484), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.3911759853363037, 0.4477360248565674, -0.08324996381998062), (-0.39562156796455383, 0.11184963583946228, -0.2751862704753876)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=52, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.7868728637695312, -0.016169710084795952, 16.97368812561035), (1.3771804571151733, 1.4583839178085327, 18.874771118164062), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8064420223236084, 2.8293678760528564, 16.92015266418457), (1.37473726272583, 4.230865001678467, 18.864992141723633), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.7830936908721924, 5.6774115562438965, 16.980321884155273), (1.1597355604171753, 7.153601169586182, 19.09539031982422), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.61132287979126, -0.01072923094034195, 16.93158531188965), (4.214690208435059, 1.4297475814819336, 18.860422134399414), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.631760597229004, 2.823281764984131, 16.9068546295166), (4.21338415145874, 4.222546100616455, 18.85873794555664), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.60874605178833, 5.655854225158691, 16.93608856201172), (4.221348285675049, 7.06818962097168, 18.9765682220459), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.464015007019043, -0.018645839765667915, 16.966142654418945), (7.016857147216797, 1.4262866973876953, 18.86106300354004), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.448404312133789, 2.829054117202759, 16.91077995300293), (7.02143669128418, 4.221510410308838, 18.863967895507812), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.457014083862305, 5.670313358306885, 16.965274810791016), (6.951958656311035, 7.051985263824463, 18.907602310180664), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (2.3574352264404297, 6.946595668792725, 20.73040771484375), (2.1836652755737305, 7.72711181640625, 21.302995681762695)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.7284217476844788, energy_trajectory=[1.2029452323913574, 1.1911327838897705, 1.1822271347045898, 1.173685073852539, 1.165278434753418, 1.1569843292236328, 1.1489903926849365, 1.1408522129058838, 1.1329944133758545, 1.1250758171081543, 1.1174237728118896, 1.109489917755127, 1.101670742034912, 1.094376802444458, 1.0870037078857422, 1.0792813301086426, 1.0716156959533691, 1.0648009777069092, 1.0573337078094482, 1.049997091293335, 1.042736291885376, 1.0357511043548584, 1.028923511505127, 1.0224096775054932, 1.016134262084961, 1.010061264038086, 1.0042095184326172, 0.9985323548316956, 0.9929080605506897, 0.9878136515617371, 0.9826001524925232, 0.9775407910346985, 0.9726284146308899, 0.9678055644035339, 0.9632253050804138, 0.9586164355278015, 0.9542482495307922, 0.9502738118171692, 0.9461520314216614, 0.9421504139900208, 0.9382674098014832, 0.9347448945045471, 0.9311491847038269, 0.9276111721992493, 0.92417973279953, 0.9208553433418274, 0.9177771210670471, 0.9146597981452942, 0.9116458296775818, 0.9087304472923279, 0.905914843082428, 0.9031991362571716, 0.9005804657936096, 0.8980597853660583, 0.8955497145652771, 0.8932475447654724, 0.8910368084907532, 0.8888761401176453, 0.8868746161460876, 0.885356605052948, 0.8835754990577698, 0.881907045841217, 0.8802223801612854, 0.8787739872932434, 0.8774306178092957, 0.8761904835700989, 0.8750479817390442, 0.8739859461784363, 0.8729467988014221, 0.8720480799674988, 0.8711672425270081, 0.8703237175941467, 0.8695101141929626, 0.8688579201698303, 0.8680313229560852, 0.867276132106781, 0.8665537238121033, 0.8658599257469177, 0.8651946187019348, 0.8645545840263367, 0.8639424443244934, 0.8633547425270081, 0.8614186644554138, 0.8608840107917786, 0.8601862788200378, 0.8597065806388855, 0.8592560887336731, 0.8588380217552185, 0.858450710773468, 0.8580922484397888, 0.8577627539634705, 0.8574588894844055, 0.8571797013282776, 0.856921374797821, 0.8566827178001404, 0.8564596772193909, 0.8562518954277039, 0.8560581803321838, 0.855874240398407, 0.8555411696434021, 0.8553594946861267, 0.8551998734474182, 0.8552524447441101, 0.8551011681556702, 0.8553397059440613, 0.8551952242851257, 0.8550522923469543, 0.8549073338508606, 0.8547611832618713, 0.8544662594795227, 0.8541709780693054, 0.8540136218070984, 0.8538524508476257, 0.8536776900291443, 0.8535069823265076, 0.8533309102058411, 0.8522252440452576, 0.8520390391349792, 0.8518478274345398, 0.8516489863395691, 0.8514437079429626, 0.8512322306632996, 0.8511437773704529, 0.8510560393333435, 0.8508293032646179, 0.8505957722663879, 0.8503549695014954, 0.8501084446907043, 0.8498551249504089, 0.8495946526527405, 0.8493277430534363, 0.8491252064704895, 0.8488455414772034, 0.8485584855079651, 0.848264753818512, 0.8479622006416321, 0.8477854132652283, 0.8474698662757874, 0.8466705679893494, 0.8461208939552307, 0.8457980751991272, 0.8454473614692688, 0.8450900912284851, 0.8446421027183533, 0.8442190289497375, 0.8438394665718079, 0.8434516787528992, 0.8452208638191223, 0.8448224663734436, 0.8444164395332336, 0.8440448641777039, 0.8436018824577332, 0.8431716561317444, 0.8427332043647766, 0.8422860503196716, 0.8418322205543518, 0.8413713574409485, 0.840903103351593, 0.8403573632240295, 0.8398780226707458, 0.8393929600715637, 0.8387914299964905, 0.8382948040962219, 0.8377947211265564, 0.8372913002967834, 0.8367834687232971, 0.836272656917572, 0.835758626461029, 0.8352417349815369, 0.8347241282463074, 0.8342041373252869, 0.8336811661720276, 0.8331581950187683, 0.8327694535255432, 0.8322435021400452, 0.8317380547523499, 0.8312082886695862, 0.8306780457496643, 0.8301457762718201, 0.8297294974327087, 0.8284384608268738, 0.8279044032096863, 0.8273326754570007, 0.8267939686775208, 0.8262520432472229, 0.8257082104682922, 0.8251604437828064, 0.8246102929115295, 0.8240557312965393, 0.8234977126121521, 0.822934091091156, 0.8223664164543152, 0.8217940926551819, 0.8212177157402039, 0.8206369280815125, 0.8200508952140808, 0.819459855556488, 0.8188634514808655, 0.818317711353302, 0.8177122473716736, 0.8171020150184631, 0.8164864182472229, 0.8158662915229797, 0.8152409195899963, 0.8140619397163391, 0.8134240508079529, 0.812782347202301, 0.8121352791786194, 0.8114833235740662, 0.8108275532722473, 0.8102484345436096, 0.8095840811729431, 0.808838427066803, 0.808165967464447, 0.8074890971183777, 0.8068094849586487, 0.8061255812644958, 0.8055819869041443, 0.8048900961875916, 0.8041952252388, 0.8034951090812683, 0.8027918934822083, 0.8020853400230408, 0.8012774586677551, 0.8005617260932922, 0.7998397946357727, 0.7991126179695129, 0.7983803153038025, 0.797029435634613, 0.7961905598640442, 0.7954416871070862, 0.7946859002113342, 0.793923556804657, 0.7931539416313171, 0.7923770546913147, 0.791592538356781, 0.7908006310462952, 0.789986789226532, 0.7891806960105896, 0.7883653044700623, 0.7876612544059753, 0.7868300080299377, 0.7875996232032776, 0.7867586016654968, 0.7861203551292419, 0.7852653861045837, 0.784480631351471, 0.7836107611656189, 0.7827327847480774, 0.781846821308136, 0.7809543013572693, 0.7800533175468445, 0.7791455388069153, 0.7782312035560608, 0.7773110270500183, 0.7763835787773132, 0.7754430174827576, 0.7745072245597839, 0.7735636830329895, 0.7726143002510071, 0.7716600298881531, 0.7700029015541077, 0.7690324187278748, 0.7680559754371643, 0.7670727372169495, 0.7661470770835876, 0.7651515603065491, 0.7641499638557434, 0.7631431221961975, 0.7621299624443054, 0.7611110806465149, 0.7600852847099304, 0.759053647518158, 0.7580166459083557, 0.7569723725318909, 0.7559230923652649, 0.754719078540802, 0.7536554932594299, 0.7526139616966248, 0.7516884207725525, 0.7503920197486877, 0.7493048310279846, 0.7482125163078308, 0.7471145987510681, 0.7460103631019592, 0.7448648810386658, 0.7437480092048645, 0.7426252961158752, 0.7414968609809875, 0.7399683594703674, 0.7388277649879456, 0.7377318739891052, 0.7365803122520447, 0.7354223132133484, 0.7342602610588074, 0.7330936789512634, 0.7319726347923279, 0.7307930588722229, 0.7296095490455627, 0.7284217476844788], forces=[(0.00581557909026742, -0.0001432789140380919, -0.013220345601439476), (-0.0030729349236935377, -0.010144599713385105, -0.04995109885931015), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.005409724544733763, -0.004363566637039185, -0.021127212792634964), (-0.015277001075446606, -0.03910462185740471, -0.0631861686706543), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01170277874916792, -0.007398318964987993, -0.01756792701780796), (0.058705151081085205, -0.057589150965213776, -0.09883899986743927), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.01625995896756649, 0.0005460096290335059, 0.016761116683483124), (-0.004570161923766136, 0.018142350018024445, -0.017663534730672836), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0020832682494074106, 0.0021236888132989407, -0.008632875047624111), (-0.0036319715436547995, -0.00644700275734067, -0.02460188791155815), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.017863454297184944, 0.010233212262392044, 0.014579935930669308), (-0.002563287504017353, 0.028400177136063576, 0.06390336155891418), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.014005494304001331, -0.002831405494362116, -0.024100739508867264), (-0.0012775036739185452, 0.010919318534433842, -0.013984289020299911), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.017926225438714027, -0.01244244072586298, -0.021906321868300438), (-0.009656823240220547, 0.004789864644408226, -0.02107223868370056), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.015392049215734005, -0.00964149460196495, -0.03425930067896843), (0.01376284845173359, 0.010579477064311504, -0.040244050323963165), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.1151210218667984, -0.04613419622182846, -0.18525773286819458), (0.2215265929698944, 0.013008834794163704, -0.1706661432981491)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=53, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.8176817893981934, 0.007922109216451645, 16.87660789489746), (1.4303544759750366, 1.4181833267211914, 18.820077896118164), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.8147552013397217, 2.8194663524627686, 16.873245239257812), (1.4134750366210938, 4.227139472961426, 18.816204071044922), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.814434051513672, 5.6474127769470215, 16.89029884338379), (1.4246057271957397, 7.06650447845459, 18.822376251220703), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.655130386352539, -0.008242872543632984, 16.917455673217773), (4.213911056518555, 1.4194369316101074, 18.822742462158203), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.647518634796143, 2.825819730758667, 16.905555725097656), (4.1887431144714355, 4.222155570983887, 18.80588722229004), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.6628289222717285, 5.650135040283203, 16.951025009155273), (4.204091548919678, 7.079643249511719, 18.811296463012695), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.445603370666504, -0.009283394552767277, 16.92031478881836), (7.048206806182861, 1.4016488790512085, 18.854190826416016), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.444042205810547, 2.8305318355560303, 16.913938522338867), (7.02543306350708, 4.079199314117432, 18.934003829956055), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.430442810058594, 5.6460466384887695, 16.94654655456543), (7.080777645111084, 7.181527614593506, 18.98665428161621), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (6.945907115936279, 5.5774407386779785, 20.407855987548828), (7.815781593322754, 5.479062080383301, 20.84945297241211)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.44310158491134644, energy_trajectory=[0.9065789580345154, 0.8918238282203674, 0.878283679485321, 0.8653135895729065, 0.8529284596443176, 0.8411657214164734, 0.8301655650138855, 0.8197707533836365, 0.8098219037055969, 0.8000944256782532, 0.7905222773551941, 0.7812226414680481, 0.7724370360374451, 0.7635145783424377, 0.7550498843193054, 0.7465656399726868, 0.7382956147193909, 0.7300507426261902, 0.7220105528831482, 0.7140960097312927, 0.7062981724739075, 0.6986135840415955, 0.6910360455513, 0.6835790276527405, 0.676212728023529, 0.6689494252204895, 0.6617886424064636, 0.6547395586967468, 0.6478033661842346, 0.6411113142967224, 0.6345780491828918, 0.6282069087028503, 0.6221628785133362, 0.6160796284675598, 0.6102173924446106, 0.6044511198997498, 0.5988151431083679, 0.5929725766181946, 0.5876218676567078, 0.5822758078575134, 0.5772095322608948, 0.5722610354423523, 0.567439615726471, 0.5627002120018005, 0.5581302046775818, 0.5536786913871765, 0.5493475794792175, 0.5451324582099915, 0.5410344004631042, 0.5370505452156067, 0.5330668091773987, 0.5292996764183044, 0.5256407856941223, 0.5220884680747986, 0.5186635851860046, 0.5153897404670715, 0.5121386647224426, 0.5089980959892273, 0.5059556365013123, 0.5030074715614319, 0.5001378655433655, 0.4975661635398865, 0.4949497580528259, 0.4924526810646057, 0.48977547883987427, 0.4873395562171936, 0.4849773049354553, 0.48268717527389526, 0.4804677367210388, 0.47831517457962036, 0.4762285351753235, 0.4742056727409363, 0.47224515676498413, 0.4703463912010193, 0.4683709740638733, 0.4665878415107727, 0.4648628830909729, 0.46319061517715454, 0.46157199144363403, 0.4600406289100647, 0.4585266709327698, 0.4572811722755432, 0.4558655619621277, 0.45449620485305786, 0.45326870679855347, 0.451987087726593, 0.45074552297592163, 0.4495449662208557, 0.44838255643844604, 0.44719308614730835, 0.44610506296157837, 0.44504958391189575, 0.4440247416496277, 0.44302958250045776, 0.4420613646507263, 0.4411173462867737, 0.44019800424575806, 0.43930238485336304, 0.43842726945877075, 0.43757110834121704, 0.43673497438430786, 0.43591803312301636, 0.4351179003715515, 0.43433254957199097, 0.4335644841194153, 0.4328097701072693, 0.4320693612098694, 0.43134254217147827, 0.43062812089920044, 0.4299284815788269, 0.42924243211746216, 0.4285699725151062, 0.4279128909111023, 0.4272703528404236, 0.42679017782211304, 0.42617517709732056, 0.4249698519706726, 0.4243873953819275, 0.4238206744194031, 0.4232720732688904, 0.42273980379104614, 0.4222257733345032, 0.42173105478286743, 0.4212525486946106, 0.4207916855812073, 0.42034775018692017, 0.41992121934890747, 0.4195120930671692, 0.4189390540122986, 0.4185630679130554, 0.41820377111434937, 0.41786128282546997, 0.4175352454185486, 0.41722387075424194, 0.4169268012046814, 0.4166455864906311, 0.41637855768203735, 0.4161251187324524, 0.4158249497413635, 0.41559773683547974, 0.4153851866722107, 0.41518229246139526, 0.41499191522598267, 0.41481274366378784, 0.41465169191360474, 0.41449493169784546, 0.41434746980667114, 0.4142104983329773, 0.4139924645423889, 0.413871705532074, 0.41375988721847534, 0.41365760564804077, 0.4135618805885315, 0.4134753346443176, 0.4133949875831604, 0.4134138226509094, 0.4133480191230774, 0.41328877210617065, 0.4132370352745056, 0.4130999445915222, 0.4129919409751892, 0.41295892000198364, 0.4129318594932556, 0.412910521030426, 0.41282838582992554, 0.41281968355178833, 0.41281503438949585, 0.41281574964523315, 0.4128209948539734, 0.4128301739692688, 0.4128473401069641, 0.41286617517471313, 0.4128876328468323, 0.41232746839523315, 0.4123609662055969, 0.41240209341049194, 0.4124475121498108, 0.41249483823776245, 0.4125719666481018, 0.4124712347984314, 0.4123217463493347, 0.41238290071487427, 0.4124482274055481, 0.4125179648399353, 0.41259104013442993, 0.412666380405426, 0.4127444624900818, 0.4128270745277405, 0.412913978099823, 0.41300278902053833, 0.41309577226638794, 0.4131903052330017, 0.41350477933883667, 0.4136081337928772, 0.414390504360199, 0.4144957661628723, 0.41460269689559937, 0.41467779874801636, 0.4147910475730896, 0.4149046540260315, 0.4150218367576599, 0.4153013825416565, 0.4154260754585266, 0.41555482149124146, 0.41568106412887573, 0.41581469774246216, 0.415949285030365, 0.4160842299461365, 0.41622453927993774, 0.4163416028022766, 0.4164873957633972, 0.4168397784233093, 0.41699641942977905, 0.4173632264137268, 0.4175207018852234, 0.4176807999610901, 0.41790395975112915, 0.41807252168655396, 0.4182431101799011, 0.41841691732406616, 0.41859596967697144, 0.41881924867630005, 0.4190019965171814, 0.41919010877609253, 0.41879504919052124, 0.4189876914024353, 0.4191821217536926, 0.4193803668022156, 0.4195813536643982, 0.4197860360145569, 0.4199935793876648, 0.42020708322525024, 0.4201720356941223, 0.42038971185684204, 0.4206112027168274, 0.4208369851112366, 0.4210672974586487, 0.42130082845687866, 0.42153817415237427, 0.42177993059158325, 0.42202597856521606, 0.4222744107246399, 0.4225289225578308, 0.42278558015823364, 0.4230465292930603, 0.4233112931251526, 0.42352932691574097, 0.42380398511886597, 0.4240826964378357, 0.4247620701789856, 0.4250503182411194, 0.4253407120704651, 0.4256529211997986, 0.42594999074935913, 0.42625170946121216, 0.42655616998672485, 0.4268651604652405, 0.4271770119667053, 0.4274953007698059, 0.42781680822372437, 0.4281415343284607, 0.4283892512321472, 0.4287208914756775, 0.42905646562576294, 0.4293971657752991, 0.4297392964363098, 0.4300869107246399, 0.43043798208236694, 0.43079227209091187, 0.4309470057487488, 0.4313088059425354, 0.4316738247871399, 0.4320417046546936, 0.43241411447525024, 0.432789146900177, 0.4331677556037903, 0.43355029821395874, 0.43393510580062866, 0.4343239665031433, 0.434715211391449, 0.4351091980934143, 0.4355059266090393, 0.4359058737754822, 0.436309278011322, 0.4367148280143738, 0.4371231198310852, 0.4375348687171936, 0.43794864416122437, 0.4383646845817566, 0.43876391649246216, 0.4391877055168152, 0.439613401889801, 0.44004184007644653, 0.4404720664024353, 0.440904438495636, 0.4413396716117859, 0.4417760968208313, 0.44221585988998413, 0.4426574110984802, 0.44310158491134644], forces=[(-0.006842655595391989, -0.0025243950076401234, 0.0725000873208046), (-0.03099086321890354, -0.015043040737509727, 0.08737527579069138), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.008167775347828865, -0.011938878335058689, 0.0713399201631546), (0.008956721983850002, -0.015199050307273865, 0.06913118064403534), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0032382493373006582, -0.005727346055209637, 0.06023872271180153), (0.013191938400268555, -0.01776752807199955, 0.07919903844594955), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.003782941959798336, -0.02179686911404133, 0.054558124393224716), (0.00027606709045358, -0.016408901661634445, 0.07424581795930862), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.004054318182170391, -0.0026780820917338133, 0.06716515123844147), (-0.0036663322243839502, -0.009996163658797741, 0.06842989474534988), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.03757781907916069, -0.016236167401075363, -0.00539269158616662), (-0.004759606439620256, -0.021096620708703995, 0.07321298122406006), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.00353075354360044, -0.014111630618572235, 0.05515472590923309), (-0.01725807599723339, -0.025938730686903, 0.057040926069021225), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.002135407878085971, -0.022708816453814507, 0.045805856585502625), (0.03153112158179283, 0.03247892111539841, 0.02255561389029026), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.04067898169159889, -0.01425948366522789, -0.0013941539218649268), (-0.02766905352473259, -0.0700441524386406, -0.003830342087894678), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.05170794576406479, 0.0373663567006588, 0.07785280048847198), (0.06859929859638214, 0.18464785814285278, 0.05075816065073013)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=54, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.785433053970337, 0.015973549336194992, 16.96307945251465), (1.4103071689605713, 1.6398838758468628, 19.032514572143555), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.786172389984131, 2.810223340988159, 16.943422317504883), (1.394506573677063, 4.31003999710083, 18.868694305419922), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.798335313796997, 5.663708209991455, 16.921592712402344), (1.3817213773727417, 7.041409969329834, 18.970413208007812), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.631435871124268, 0.003541590180248022, 16.895709991455078), (4.247640609741211, 1.4266760349273682, 18.831497192382812), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.624877452850342, 2.8347442150115967, 16.883670806884766), (4.2332892417907715, 4.247320175170898, 18.834569931030273), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.631239414215088, 5.645712852478027, 16.886659622192383), (4.233039855957031, 7.051871299743652, 18.8338680267334), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.485212326049805, 0.023462476208806038, 16.96015739440918), (7.020930290222168, 1.4431686401367188, 18.813690185546875), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.472188949584961, 2.8250110149383545, 16.923383712768555), (7.024185657501221, 4.252561092376709, 18.828248977661133), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.465243339538574, 5.66876220703125, 16.91636085510254), (7.019213676452637, 7.061079978942871, 18.829381942749023), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (1.3391395807266235, 0.47402307391166687, 20.69746208190918), (0.39912331104278564, 0.5078012943267822, 20.98956298828125)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.670947253704071, energy_trajectory=[1.298058032989502, 1.285919189453125, 1.27500319480896, 1.2648019790649414, 1.2544736862182617, 1.2447929382324219, 1.2355051040649414, 1.2265896797180176, 1.2180674076080322, 1.209751844406128, 1.2014975547790527, 1.1938517093658447, 1.1863601207733154, 1.1790783405303955, 1.1720452308654785, 1.1655857563018799, 1.1589381694793701, 1.1527903079986572, 1.1464064121246338, 1.14029860496521, 1.134303331375122, 1.1284654140472412, 1.1227679252624512, 1.1171681880950928, 1.1117382049560547, 1.1064367294311523, 1.1012563705444336, 1.0963072776794434, 1.0913615226745605, 1.0865280628204346, 1.0817959308624268, 1.077120065689087, 1.0724079608917236, 1.0679972171783447, 1.0636417865753174, 1.0593740940093994, 1.055191993713379, 1.0510859489440918, 1.0470566749572754, 1.0431077480316162, 1.0392260551452637, 1.0354125499725342, 1.0316658020019531, 1.027984619140625, 1.0243666172027588, 1.0208070278167725, 1.0173430442810059, 1.013908863067627, 1.0105290412902832, 1.007202386856079, 1.003929615020752, 1.0007069110870361, 0.9975339770317078, 0.9942036271095276, 0.9911310076713562, 0.9881022572517395, 0.9851202368736267, 0.9821829199790955, 0.9792910218238831, 0.9764437079429626, 0.9736401438713074, 0.9708759188652039, 0.9681045413017273, 0.9653943181037903, 0.9628846049308777, 0.9600768685340881, 0.9574996829032898, 0.9551489949226379, 0.952663242816925, 0.9501833319664001, 0.9477350115776062, 0.9453149437904358, 0.9429250359535217, 0.9405621886253357, 0.9382277131080627, 0.9359225630760193, 0.9336419701576233, 0.931390106678009, 0.9291648268699646, 0.9269652962684631, 0.9247916340827942, 0.9226437211036682, 0.920522153377533, 0.9184263348579407, 0.9163549542427063, 0.9143090844154358, 0.9122869372367859, 0.9102900624275208, 0.9082966446876526, 0.9063486456871033, 0.9044237732887268, 0.9025236964225769, 0.900632917881012, 0.8987825512886047, 0.8970323204994202, 0.8952206969261169, 0.8934083580970764, 0.8916453719139099, 0.8899620175361633, 0.8882420659065247, 0.8865405917167664, 0.8848589062690735, 0.8832456469535828, 0.8813342452049255, 0.8797052502632141, 0.8780930638313293, 0.8764957785606384, 0.8749037384986877, 0.8733343482017517, 0.8717795014381409, 0.870237410068512, 0.8688365817070007, 0.8673191666603088, 0.8658148646354675, 0.8644869923591614, 0.863018810749054, 0.8615788817405701, 0.860197126865387, 0.858874499797821, 0.8574416041374207, 0.8561037182807922, 0.8547877669334412, 0.8534918427467346, 0.8522166609764099, 0.8509591221809387, 0.849720299243927, 0.8484974503517151, 0.8472922444343567, 0.846100389957428, 0.8449234366416931, 0.8437612652778625, 0.8426110148429871, 0.8414742350578308, 0.8403500914573669, 0.8391998410224915, 0.8380977511405945, 0.8370062708854675, 0.8359240889549255, 0.8348514437675476, 0.8337880969047546, 0.832771360874176, 0.8317260146141052, 0.8306310772895813, 0.8295980095863342, 0.8285738825798035, 0.827557384967804, 0.8265491127967834, 0.8255471587181091, 0.8245528340339661, 0.8235653042793274, 0.8225842118263245, 0.82137531042099, 0.8204073309898376, 0.8194431662559509, 0.8184865117073059, 0.8175352215766907, 0.8165877461433411, 0.8156436085700989, 0.8147059082984924, 0.8137708306312561, 0.8128384947776794, 0.8119096159934998, 0.8109847903251648, 0.8100624680519104, 0.8091418147087097, 0.8082236647605896, 0.8072178959846497, 0.8063040375709534, 0.8056560158729553, 0.80474454164505, 0.8038349747657776, 0.8029264807701111, 0.8020184636116028, 0.8011114001274109, 0.8002049326896667, 0.799299418926239, 0.7983930706977844, 0.7974875569343567, 0.7965826392173767, 0.7953377366065979, 0.7944313883781433, 0.7935248017311096, 0.7926178574562073, 0.7917088866233826, 0.790800154209137, 0.7898905873298645, 0.7889800667762756, 0.7880691885948181, 0.7871569991111755, 0.7862449288368225, 0.7853322625160217, 0.7844184041023254, 0.7835032343864441, 0.7825868725776672, 0.781669557094574, 0.780750572681427, 0.7798300385475159, 0.7792688012123108, 0.7783457636833191, 0.77741938829422, 0.7764928936958313, 0.7755638957023621, 0.7746371626853943, 0.7737042307853699, 0.772770345211029, 0.7719069123268127, 0.7709677815437317, 0.7700266242027283, 0.7690836787223816, 0.7681372761726379, 0.7671907544136047, 0.7661482691764832, 0.7651965022087097, 0.7642442584037781, 0.7632891535758972, 0.7621154189109802, 0.7611574530601501, 0.760197103023529, 0.7592330574989319, 0.7582680583000183, 0.7573025822639465, 0.7559006810188293, 0.7549304366111755, 0.7539581656455994, 0.7529824376106262, 0.7506607174873352, 0.7496907114982605, 0.7505239844322205, 0.7494683861732483, 0.7484979033470154, 0.7475234866142273, 0.7465454936027527, 0.7455642819404602, 0.7445808053016663, 0.7435948252677917, 0.7426024079322815, 0.7416090369224548, 0.7406137585639954, 0.7396133542060852, 0.7386094927787781, 0.7376012206077576, 0.7365884184837341, 0.7355735898017883, 0.734552800655365, 0.7335273623466492, 0.7324984669685364, 0.7314078211784363, 0.7303683161735535, 0.7293245196342468, 0.7282772660255432, 0.7272235751152039, 0.7260923981666565, 0.7250311970710754, 0.7239639163017273, 0.7228942513465881, 0.7218188643455505, 0.7207397818565369, 0.719655454158783, 0.7185668349266052, 0.717473566532135, 0.7162298560142517, 0.7151278853416443, 0.7140201926231384, 0.7129105925559998, 0.7117958664894104, 0.710676372051239, 0.7095521092414856, 0.7083670496940613, 0.7072352766990662, 0.7061017155647278, 0.7049636244773865, 0.7038246989250183, 0.7026776671409607, 0.7016769051551819, 0.7005296349525452, 0.69937664270401, 0.6982244849205017, 0.6969254612922668, 0.6957667469978333, 0.6946024298667908, 0.6934365630149841, 0.6922666430473328, 0.6911072134971619, 0.6899357438087463, 0.6887609362602234, 0.687582790851593, 0.6864017844200134, 0.6852180361747742, 0.6840307116508484, 0.6828405261039734, 0.6816461682319641, 0.6805782914161682, 0.6793789267539978, 0.6781765818595886, 0.6770262122154236, 0.6758213639259338, 0.6746079325675964, 0.6733911633491516, 0.6721720099449158, 0.670947253704071], forces=[(0.019247377291321754, 0.014375315979123116, 0.004090141970664263), (-0.011210448108613491, -0.04549385979771614, -0.03747338429093361), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.017190255224704742, 0.03648824989795685, 0.014425734989345074), (0.011005887761712074, 0.030821923166513443, 0.04258749261498451), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0013282157015055418, 0.0358443483710289, 0.053313035517930984), (0.013853698968887329, 0.06330011785030365, 0.09920255839824677), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009725192561745644, 0.009469348005950451, 0.04831594601273537), (0.0033376538194715977, 0.022756531834602356, 0.03539299592375755), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.024147512391209602, -0.0013025273801758885, 0.0484267994761467), (-0.004963535815477371, 0.008890519849956036, 0.043223120272159576), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.008091455325484276, 0.009459144435822964, 0.04684478044509888), (0.005013172514736652, 0.02056155912578106, 0.047189343720674515), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.016032114624977112, 0.0034450958482921124, -0.012380536645650864), (0.009977717883884907, 0.0038693661335855722, 0.07067840546369553), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009837168268859386, 0.02416008524596691, 0.03597816079854965), (0.012609222903847694, 0.008778766728937626, 0.05411547049880028), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.015248363837599754, 0.027360662817955017, 0.05769101157784462), (0.010268273763358593, 0.01786004565656185, 0.06257937103509903), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.06985901296138763, -0.3846491277217865, -0.2651757597923279), (0.13184760510921478, -0.11294864118099213, -0.0248403400182724)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=55, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.821507215499878, -0.002317006466910243, 16.934162139892578), (1.4176127910614014, 1.3991944789886475, 18.886377334594727), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.83301043510437, 2.8161065578460693, 16.935407638549805), (1.4436297416687012, 4.2220354080200195, 18.872949600219727), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.830080509185791, 5.6402153968811035, 16.936155319213867), (1.414435625076294, 7.050971508026123, 18.883220672607422), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.638060569763184, 0.0015947838546708226, 16.931941986083984), (4.230372428894043, 1.402839183807373, 18.89091682434082), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.671426296234131, 2.839658737182617, 16.965301513671875), (4.2467827796936035, 4.228038787841797, 18.8880672454834), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.660078048706055, 5.629570007324219, 16.954078674316406), (4.228152751922607, 7.052717685699463, 18.8884220123291), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.464546203613281, -0.0005769029958173633, 16.93299674987793), (7.052807807922363, 1.3919265270233154, 18.885297775268555), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.45622730255127, 2.8347280025482178, 16.96073341369629), (7.041006565093994, 4.208525657653809, 19.091108322143555), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.451423645019531, 5.62114143371582, 16.964689254760742), (7.04892110824585, 7.06915807723999, 18.874452590942383), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (7.151066303253174, 4.3515777587890625, 21.073518753051758), (6.279721260070801, 4.674328804016113, 21.385337829589844)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.8788790106773376, energy_trajectory=[1.2144203186035156, 1.2022228240966797, 1.1921494007110596, 1.1822822093963623, 1.1725730895996094, 1.162933588027954, 1.153425693511963, 1.1439638137817383, 1.1347639560699463, 1.1254355907440186, 1.1162824630737305, 1.1071264743804932, 1.0979297161102295, 1.0890800952911377, 1.080324411392212, 1.071648120880127, 1.0633738040924072, 1.055469036102295, 1.0479590892791748, 1.0408015251159668, 1.0339701175689697, 1.0274243354797363, 1.0209650993347168, 1.0147502422332764, 1.0089316368103027, 1.0032541751861572, 0.9978083968162537, 0.9925845265388489, 0.9875374436378479, 0.982587993144989, 0.977878987789154, 0.9733238816261292, 0.9687450528144836, 0.9644885659217834, 0.9603181481361389, 0.956339418888092, 0.9525046944618225, 0.9487830996513367, 0.9451833367347717, 0.9416202902793884, 0.9380807280540466, 0.9348132014274597, 0.9316738247871399, 0.9286314845085144, 0.92573481798172, 0.9229634404182434, 0.9207457900047302, 0.917891800403595, 0.9155319333076477, 0.9133331179618835, 0.9112983345985413, 0.9094364047050476, 0.9073919653892517, 0.9059337973594666, 0.9046569466590881, 0.903479278087616, 0.9024540781974792, 0.9015142321586609, 0.900509774684906, 0.899764358997345, 0.8989726901054382, 0.8981978297233582, 0.8974485993385315, 0.8966789841651917, 0.8958777785301208, 0.895210325717926, 0.8945764899253845, 0.8939793705940247, 0.8934226632118225, 0.8928191065788269, 0.892345130443573, 0.8919182419776917, 0.8915310502052307, 0.8911848664283752, 0.8908761143684387, 0.8905991911888123, 0.8910477757453918, 0.8908064961433411, 0.8905860781669617, 0.8903812766075134, 0.8901869654655457, 0.8900004029273987, 0.8898178935050964, 0.8896375298500061, 0.8893687129020691, 0.8891775012016296, 0.8891065716743469, 0.888900101184845, 0.8886834979057312, 0.8884831070899963, 0.8882399201393127, 0.8879815936088562, 0.887708842754364, 0.8872907757759094, 0.8869871497154236, 0.8866693377494812, 0.886340320110321, 0.8859936594963074, 0.88563472032547, 0.8852655291557312, 0.8849746584892273, 0.8845838904380798, 0.884181797504425, 0.8837700486183167, 0.8833519816398621, 0.8829277157783508, 0.8824643492698669, 0.8820323348045349, 0.8815979361534119, 0.8811613917350769, 0.8807246088981628, 0.8802899718284607, 0.8798568844795227, 0.8794259428977966, 0.8789982199668884, 0.8785741925239563, 0.8781549334526062, 0.8776753544807434, 0.8772701621055603, 0.8768715262413025, 0.8764795660972595, 0.8760949969291687, 0.8757176995277405, 0.8750668168067932, 0.8747068047523499, 0.8743537068367004, 0.8740085959434509, 0.8736885190010071, 0.8733614087104797, 0.8730399012565613, 0.8727266192436218, 0.8724216818809509, 0.8720642924308777, 0.8717749714851379, 0.8714939951896667, 0.8712183833122253, 0.8709513545036316, 0.8706911206245422, 0.8705088496208191, 0.8701727986335754, 0.8699355721473694, 0.8697050213813782, 0.8694812655448914, 0.869264543056488, 0.8690529465675354, 0.8688470721244812, 0.868621289730072, 0.8684290051460266, 0.867962658405304, 0.867781937122345, 0.8677322268486023, 0.8675623536109924, 0.867397129535675, 0.867238461971283, 0.8670836091041565, 0.866878092288971, 0.8667373061180115, 0.866599977016449, 0.8664688467979431, 0.8663423657417297, 0.8662216067314148, 0.8661068081855774, 0.8659971356391907, 0.8660019040107727, 0.865903913974762, 0.865811288356781, 0.8657233119010925, 0.8656399846076965, 0.8655626177787781, 0.8652605414390564, 0.865192711353302, 0.8651311993598938, 0.8650727868080139, 0.8654369711875916, 0.8653901219367981, 0.8653481602668762, 0.8650650382041931, 0.8650365471839905, 0.8650107979774475, 0.8649886250495911, 0.8649725317955017, 0.8649582266807556, 0.8649492859840393, 0.8649421334266663, 0.864939272403717, 0.8649405837059021, 0.8649440407752991, 0.8649508357048035, 0.8649603724479675, 0.8649726510047913, 0.8649881482124329, 0.8650060296058655, 0.86501544713974, 0.8650394082069397, 0.8650668263435364, 0.8650956749916077, 0.865125834941864, 0.8652457594871521, 0.8652809262275696, 0.8652538657188416, 0.8652939200401306, 0.8653349280357361, 0.8653776049613953, 0.8654209971427917, 0.8654668927192688, 0.8655129075050354, 0.8655607104301453, 0.8655722737312317, 0.8656240105628967, 0.865675151348114, 0.8657295107841492, 0.8657826781272888, 0.86580890417099, 0.8658645749092102, 0.8659202456474304, 0.8659774661064148, 0.8660369515419006, 0.8660966753959656, 0.8661578297615051, 0.8662206530570984, 0.866283118724823, 0.8663478493690491, 0.8659911751747131, 0.8660808205604553, 0.8661074042320251, 0.8661807179450989, 0.8662553429603577, 0.866331160068512, 0.8664098381996155, 0.8664894700050354, 0.8665701746940613, 0.8666525483131409, 0.8667365908622742, 0.8668217062950134, 0.8668882250785828, 0.8671072125434875, 0.8674091696739197, 0.8675456643104553, 0.8676452040672302, 0.8677454590797424, 0.8678482174873352, 0.8679195046424866, 0.8680220246315002, 0.8678671717643738, 0.8679874539375305, 0.8681077361106873, 0.8682301640510559, 0.868350088596344, 0.8684703707695007, 0.8685910105705261, 0.8687123656272888, 0.8688386082649231, 0.8689584136009216, 0.8694245219230652, 0.8695401549339294, 0.8696538805961609, 0.8697667717933655, 0.8702556490898132, 0.8703773617744446, 0.8704982399940491, 0.8706197142601013, 0.8707415461540222, 0.8707428574562073, 0.8708673119544983, 0.8709909319877625, 0.8711144328117371, 0.8712653517723083, 0.8713645339012146, 0.8714925646781921, 0.8717660307884216, 0.8718960881233215, 0.8720285296440125, 0.8721590638160706, 0.8722555041313171, 0.8723912835121155, 0.8723613619804382, 0.8724998831748962, 0.8726392388343811, 0.872782289981842, 0.8741793036460876, 0.8743463158607483, 0.8745161890983582, 0.8746930956840515, 0.8748708367347717, 0.8750535845756531, 0.8752413392066956, 0.8754337430000305, 0.8756298422813416, 0.8760519623756409, 0.8762243390083313, 0.8764352202415466, 0.8766520619392395, 0.8768879771232605, 0.8772352337837219, 0.8774641156196594, 0.8776974081993103, 0.8779364228248596, 0.8781784176826477, 0.8786222338676453, 0.8788790106773376], forces=[(0.0035855912137776613, -0.00026403929223306477, -0.057429660111665726), (0.015794500708580017, -0.005401613190770149, -0.07777431607246399), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.021299174055457115, -0.013043064624071121, -0.07259999960660934), (0.011671321466565132, -0.0006299940287135541, -0.07759002596139908), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.028761442750692368, 0.015698768198490143, -0.07378697395324707), (0.022509554401040077, 0.014055800624191761, -0.07720256596803665), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.0049077956937253475, 0.0023413996677845716, -0.06271418929100037), (-0.013811113312840462, -0.011109105311334133, -0.08941984921693802), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.007824552245438099, 0.021667588502168655, -0.0032059000805020332), (-0.09122049063444138, 0.011204187758266926, -0.1227772906422615), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002462082775309682, -0.00749098788946867, -0.010286389850080013), (-0.007582542486488819, 0.013526980765163898, -0.08120343089103699), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.01699419505894184, -0.004394581075757742, -0.06252855807542801), (0.013247640803456306, -0.037624917924404144, -0.09104523062705994), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.024587025865912437, 0.011189757846295834, -0.0005816264310851693), (0.00408046692609787, 0.013151534833014011, 0.082624651491642), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.030654119327664375, -0.014636061154305935, 0.0015300383092835546), (0.004110271111130714, 0.03222901001572609, -0.08596613258123398), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.007098968606442213, -0.015547892078757286, -0.07744590193033218), (0.0015441415598616004, -8.986717148218304e-05, -0.009246368892490864)]), AdsorbateSlabRelaxationResult(other_fields={}, config_id=56, status=&lt;Status.SUCCESS: &#39;success&#39;&gt;, system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, cell=((8.46376895904541, 0.0, 5.182563676237148e-16), (-5.182563676237148e-16, 8.46376895904541, 5.182563676237148e-16), (0.0, 0.0, 31.91887092590332)), pbc=(True, True, True), numbers=[78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 8, 1], positions=[(2.858752489089966, -0.013508206233382225, 16.962059020996094), (1.4095938205718994, 1.4112035036087036, 18.873104095458984), (2.821256160736084, 1.2901937998509476e-31, 12.967041015625), (1.410628080368042, 1.410628080368042, 14.961971282958984), (2.857658863067627, 2.831845283508301, 16.958715438842773), (1.4153499603271484, 4.23522424697876, 18.8741397857666), (2.821256160736084, 2.821256160736084, 12.967041015625), (1.410628080368042, 4.231884479522705, 14.961971282958984), (2.839175224304199, 5.642239570617676, 16.940275192260742), (1.4131786823272705, 7.050183296203613, 18.874773025512695), (2.821256160736084, 5.642512321472168, 12.967041015625), (1.410628080368042, 7.053140640258789, 14.961971282958984), (5.65418004989624, 0.0016127889975905418, 16.918289184570312), (4.263724327087402, 1.4083197116851807, 18.89386749267578), (5.642512321472168, 1.2901937998509476e-31, 12.967041015625), (4.231884479522705, 1.410628080368042, 14.961971282958984), (5.656306266784668, 2.81685471534729, 16.916166305541992), (4.2036027908325195, 4.1189680099487305, 18.928646087646484), (5.642512321472168, 2.821256160736084, 12.967041015625), (4.231884479522705, 4.231884479522705, 14.961971282958984), (5.642185688018799, 5.642850399017334, 16.949779510498047), (4.202389240264893, 7.157815933227539, 18.94239044189453), (5.642512321472168, 5.642512321472168, 12.967041015625), (4.231884479522705, 7.053140640258789, 14.961971282958984), (8.492684364318848, 0.01019927579909563, 16.89897346496582), (7.078310966491699, 1.4098643064498901, 18.86368751525879), (8.46376895904541, 1.2901937998509476e-31, 12.967041015625), (7.053140640258789, 1.410628080368042, 14.961971282958984), (8.493738174438477, 2.81123423576355, 16.89919662475586), (7.1350178718566895, 4.189083099365234, 18.820907592773438), (8.46376895904541, 2.821256160736084, 12.967041015625), (7.053140640258789, 4.231884479522705, 14.961971282958984), (8.48279094696045, 5.641931533813477, 16.905797958374023), (7.133417129516602, 7.094966411590576, 18.820436477661133), (8.46376895904541, 5.642512321472168, 12.967041015625), (7.053140640258789, 7.053140640258789, 14.961971282958984), (4.919703483581543, 5.626053810119629, 20.278812408447266), (4.465446949005127, 5.590789794921875, 21.142425537109375)], tags=[1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 2, 2], energy=0.6790124773979187, energy_trajectory=[2.2396633625030518, 2.213660717010498, 2.1921579837799072, 2.1704440116882324, 2.1491291522979736, 2.1284215450286865, 2.1089868545532227, 2.090827703475952, 2.0737850666046143, 2.057792901992798, 2.042815923690796, 2.028533935546875, 2.0146939754486084, 2.0014095306396484, 1.9886775016784668, 1.9764084815979004, 1.9645652770996094, 1.9531052112579346, 1.9419875144958496, 1.9312725067138672, 1.920746088027954, 1.9101994037628174, 1.9001154899597168, 1.8906066417694092, 1.8809750080108643, 1.8716096878051758, 1.8623456954956055, 1.853194236755371, 1.8441808223724365, 1.8352155685424805, 1.8264265060424805, 1.8176486492156982, 1.8090705871582031, 1.8005619049072266, 1.7920467853546143, 1.7836894989013672, 1.7753944396972656, 1.7671597003936768, 1.7589833736419678, 1.7508571147918701, 1.7427804470062256, 1.7347464561462402, 1.7267553806304932, 1.7187919616699219, 1.7108702659606934, 1.7029814720153809, 1.6951243877410889, 1.68729567527771, 1.6789467334747314, 1.6711680889129639, 1.6634135246276855, 1.6556835174560547, 1.6479759216308594, 1.6402015686035156, 1.6324760913848877, 1.6248316764831543, 1.6172080039978027, 1.6095921993255615, 1.6020092964172363, 1.5944466590881348, 1.5869007110595703, 1.5793702602386475, 1.5718600749969482, 1.56437087059021, 1.5568969249725342, 1.5494449138641357, 1.5420033931732178, 1.5345852375030518, 1.5271906852722168, 1.5192861557006836, 1.511932373046875, 1.5046043395996094, 1.4972960948944092, 1.4900145530700684, 1.482757806777954, 1.4755291938781738, 1.468327283859253, 1.4611577987670898, 1.454017162322998, 1.4469068050384521, 1.4398252964019775, 1.4327750205993652, 1.4257597923278809, 1.4187707901000977, 1.4118120670318604, 1.4048850536346436, 1.397989273071289, 1.3911278247833252, 1.3842947483062744, 1.377493143081665, 1.370720386505127, 1.3639776706695557, 1.3572304248809814, 1.3505504131317139, 1.3438968658447266, 1.3372728824615479, 1.3306775093078613, 1.324110746383667, 1.3175718784332275, 1.310492753982544, 1.3040118217468262, 1.297558307647705, 1.2911322116851807, 1.2847325801849365, 1.2783653736114502, 1.271843433380127, 1.265528678894043, 1.259244441986084, 1.2529873847961426, 1.2467608451843262, 1.240570068359375, 1.2343418598175049, 1.2282075881958008, 1.2221081256866455, 1.2160425186157227, 1.2100143432617188, 1.2041056156158447, 1.1981456279754639, 1.192234754562378, 1.186378002166748, 1.1805739402770996, 1.1748228073120117, 1.1691255569458008, 1.1634793281555176, 1.1578853130340576, 1.1522762775421143, 1.1467866897583008, 1.1412155628204346, 1.1358318328857422, 1.1304996013641357, 1.125218391418457, 1.119990348815918, 1.1148126125335693, 1.1096842288970947, 1.1046066284179688, 1.0998365879058838, 1.094855785369873, 1.0899217128753662, 1.0850343704223633, 1.0801961421966553, 1.0753374099731445, 1.0705933570861816, 1.0658621788024902, 1.061204195022583, 1.056593894958496, 1.052030086517334, 1.04750657081604, 1.043025016784668, 1.0385875701904297, 1.0341930389404297, 1.0295093059539795, 1.0251960754394531, 1.0209226608276367, 1.016688585281372, 1.0124945640563965, 1.0083374977111816, 1.0042221546173096, 1.0001461505889893, 0.9961090683937073, 0.9921073317527771, 0.9881431460380554, 0.9842173457145691, 0.9803275465965271, 0.976474940776825, 0.9726598858833313, 0.968879759311676, 0.9651376605033875, 0.9614295363426208, 0.9577587246894836, 0.9541249871253967, 0.9505252242088318, 0.9469595551490784, 0.9434308409690857, 0.9399341940879822, 0.9364736676216125, 0.9329027533531189, 0.9295030236244202, 0.9261383414268494, 0.9228066802024841, 0.919508159160614, 0.9162428975105286, 0.9130097031593323, 0.9100891947746277, 0.9069141745567322, 0.9037780165672302, 0.9006699919700623, 0.8975921273231506, 0.8945422768592834, 0.891521155834198, 0.8885319828987122, 0.885565459728241, 0.882628858089447, 0.8797196745872498, 0.8768348097801208, 0.8739778399467468, 0.8711456656455994, 0.8683397173881531, 0.8655584454536438, 0.8628008961677551, 0.8600706458091736, 0.8573654294013977, 0.8546462655067444, 0.851990282535553, 0.8493279814720154, 0.8467194437980652, 0.844132125377655, 0.841571033000946, 0.8390318751335144, 0.8365185856819153, 0.8338243365287781, 0.831354558467865, 0.8289086222648621, 0.8264861702919006, 0.8240839838981628, 0.8217127919197083, 0.8193667531013489, 0.8170477747917175, 0.8147557377815247, 0.8124889731407166, 0.81024569272995, 0.8080264925956726, 0.8059764504432678, 0.8037964701652527, 0.8016366362571716, 0.7994986176490784, 0.7973816990852356, 0.7952836155891418, 0.7932024598121643, 0.7911601662635803, 0.7891175150871277, 0.7870913147926331, 0.7850822806358337, 0.7830886244773865, 0.7811105847358704, 0.7791491150856018, 0.7772021889686584, 0.7752688527107239, 0.7733518481254578, 0.7714478373527527, 0.7694509625434875, 0.7675755620002747, 0.7657120823860168, 0.7638619542121887, 0.761908233165741, 0.7600865960121155, 0.7582777142524719, 0.7564811110496521, 0.7545205950737, 0.7527499794960022, 0.7509916424751282, 0.7491922974586487, 0.7474567294120789, 0.745736300945282, 0.7440283894538879, 0.742449939250946, 0.7407684922218323, 0.7391020655632019, 0.7374498248100281, 0.7358062863349915, 0.7341763377189636, 0.7325592637062073, 0.730955183506012, 0.7293633818626404, 0.7277830243110657, 0.7262176871299744, 0.7246641516685486, 0.7231224179267883, 0.721592366695404, 0.7200751900672913, 0.7185699343681335, 0.7173544764518738, 0.7158742547035217, 0.7144050002098083, 0.7129482626914978, 0.7117387652397156, 0.710304319858551, 0.7088823914527893, 0.7074709534645081, 0.7060711979866028, 0.7046827673912048, 0.7033054232597351, 0.7019402384757996, 0.7005835175514221, 0.6992375254631042, 0.6979041695594788, 0.6965790390968323, 0.6952647566795349, 0.6939598917961121, 0.6926636099815369, 0.6913785338401794, 0.6901031136512756, 0.6888360381126404, 0.6875789761543274, 0.6863297820091248, 0.6850890517234802, 0.6838570237159729, 0.6826344132423401, 0.681419312953949, 0.6802119612693787, 0.6790124773979187], forces=[(0.007610134780406952, -0.004604041576385498, 0.0030005676671862602), (0.002620325656607747, -0.001060915645211935, -0.01674865372478962), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.009337738156318665, 0.0036604334600269794, 0.007501923479139805), (-0.0033489775378257036, -0.002599789062514901, -0.018346847966313362), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.006555140018463135, -0.001478132326155901, 0.007000331301242113), (-0.0016205108258873224, -0.00030778144719079137, -0.017140820622444153), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-9.452430822420865e-05, -0.004136466886848211, -0.0006010497454553843), (0.00847212690860033, -0.00354677252471447, -0.01083716843277216), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.000913670752197504, 0.002525023417547345, -0.001745296991430223), (-0.0016881213523447514, -0.022611524909734726, 0.026400616392493248), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.005947984755039215, -0.0012988717062398791, 0.0048759207129478455), (-0.010575320571660995, 0.025186363607645035, 0.01816886104643345), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.0047336360439658165, -0.0008202073513530195, -0.009882244281470776), (0.009405235759913921, -0.001473523792810738, -0.01906025968492031), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.003758954582735896, -0.0009152303682640195, -0.011713752523064613), (0.0058067128993570805, -0.002293167868629098, -0.01918386109173298), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (0.002932965289801359, -0.0003542412305250764, -0.007895862683653831), (0.003664180636405945, -0.0024267134722322226, -0.016907457262277603), (0.0, 0.0, 0.0), (0.0, 0.0, 0.0), (-0.2110239565372467, -0.0293810423463583, 0.08630191534757614), (-0.2668895125389099, 0.051156893372535706, 0.11393103003501892)])], system_id=&#39;710728ad-e3df-4d86-b8ad-db9281595e6b&#39;, api_host=&#39;open-catalyst-api.metademolab.com&#39;, ui_url=&#39;https://open-catalyst.metademolab.com/results/710728ad-e3df-4d86-b8ad-db9281595e6b&#39;)])
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -1409,7 +1427,7 @@ <h3>Viewing results in the web UI<a class="headerlink" href="#viewing-results-in
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;https://open-catalyst.metademolab.com/results/e7dc0a4a-78c4-461f-8463-f83ccc4aaee5&#39;, &#39;https://open-catalyst.metademolab.com/results/1cf77095-e2e5-465b-a416-8c59cd771eb0&#39;]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;https://open-catalyst.metademolab.com/results/53ea2d44-9bd3-403e-b4ad-9629fcc6898e&#39;, &#39;https://open-catalyst.metademolab.com/results/710728ad-e3df-4d86-b8ad-db9281595e6b&#39;]
 </pre></div>
 </div>
 </div>
@@ -1631,7 +1649,7 @@ <h3>Changing the model type<a class="headerlink" href="#changing-the-model-type"
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:00]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:01]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:00]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:01]
@@ -1724,7 +1742,7 @@ <h3>Changing the model type<a class="headerlink" href="#changing-the-model-type"
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:30]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:31]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:30]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:31]
@@ -1817,7 +1835,7 @@ <h3>Changing the model type<a class="headerlink" href="#changing-the-model-type"
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [02:00]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [02:01]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  11%|█         | 6/54 [02:01]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  11%|█         | 6/54 [02:01]
@@ -1853,7 +1871,7 @@ <h3>Changing the model type<a class="headerlink" href="#changing-the-model-type"
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  11%|█         | 6/54 [02:11]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  11%|█         | 6/54 [02:12]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  11%|█         | 6/54 [02:11]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  11%|█         | 6/54 [02:12]
@@ -1886,52 +1904,79 @@ <h3>Changing the model type<a class="headerlink" href="#changing-the-model-type"
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  11%|█         | 6/54 [02:21]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  11%|█         | 6/54 [02:22]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  13%|█▎        | 7/54 [02:21]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  13%|█▎        | 7/54 [02:22]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  13%|█▎        | 7/54 [02:23]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  22%|██▏       | 12/54 [02:22]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  13%|█▎        | 7/54 [02:24]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  22%|██▏       | 12/54 [02:23]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  13%|█▎        | 7/54 [02:25]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  22%|██▏       | 12/54 [02:24]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  13%|█▎        | 7/54 [02:26]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  22%|██▏       | 12/54 [02:25]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  13%|█▎        | 7/54 [02:27]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  22%|██▏       | 12/54 [02:26]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  13%|█▎        | 7/54 [02:28]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  22%|██▏       | 12/54 [02:27]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  13%|█▎        | 7/54 [02:29]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  22%|██▏       | 12/54 [02:28]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  13%|█▎        | 7/54 [02:30]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  22%|██▏       | 12/54 [02:29]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  13%|█▎        | 7/54 [02:31]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  22%|██▏       | 12/54 [02:30]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  96%|█████████▋| 52/54 [02:31]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  22%|██▏       | 12/54 [02:31]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  96%|█████████▋| 52/54 [02:32]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  22%|██▏       | 12/54 [02:32]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  96%|█████████▋| 52/54 [02:33]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations: 100%|██████████| 54/54 [02:32]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  96%|█████████▋| 52/54 [02:34]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations: 100%|██████████| 54/54 [02:33]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  96%|█████████▋| 52/54 [02:35]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  96%|█████████▋| 52/54 [02:36]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  96%|█████████▋| 52/54 [02:37]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  96%|█████████▋| 52/54 [02:38]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  96%|█████████▋| 52/54 [02:39]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  96%|█████████▋| 52/54 [02:40]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  96%|█████████▋| 52/54 [02:41]
+</pre></div>
+</div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations: 100%|██████████| 54/54 [02:41]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>                                                    
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;https://open-catalyst.metademolab.com/results/db28b9d5-c4ab-4c0f-88e9-502b143eee73&#39;]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&#39;https://open-catalyst.metademolab.com/results/2f3f1b5a-4ce9-423c-8f12-d74b383c16a2&#39;]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -2151,7 +2196,7 @@ <h3>Converting to <a class="reference external" href="https://wiki.fysik.dtu.dk/
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:00]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:01]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:00]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:01]
@@ -2244,7 +2289,7 @@ <h3>Converting to <a class="reference external" href="https://wiki.fysik.dtu.dk/
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:30]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:31]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:30]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [01:31]
@@ -2337,43 +2382,43 @@ <h3>Converting to <a class="reference external" href="https://wiki.fysik.dtu.dk/
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [02:00]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:   0%|          | 0/54 [02:01]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  63%|██████▎   | 34/54 [02:01]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  56%|█████▌    | 30/54 [02:01]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  63%|██████▎   | 34/54 [02:01]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  56%|█████▌    | 30/54 [02:02]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  63%|██████▎   | 34/54 [02:02]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  56%|█████▌    | 30/54 [02:03]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  63%|██████▎   | 34/54 [02:03]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  56%|█████▌    | 30/54 [02:04]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  63%|██████▎   | 34/54 [02:04]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  56%|█████▌    | 30/54 [02:05]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  63%|██████▎   | 34/54 [02:05]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  56%|█████▌    | 30/54 [02:06]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  63%|██████▎   | 34/54 [02:06]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  56%|█████▌    | 30/54 [02:07]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  63%|██████▎   | 34/54 [02:07]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  56%|█████▌    | 30/54 [02:08]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  63%|██████▎   | 34/54 [02:08]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  56%|█████▌    | 30/54 [02:09]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  63%|██████▎   | 34/54 [02:09]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  56%|█████▌    | 30/54 [02:10]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  63%|██████▎   | 34/54 [02:10]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  56%|█████▌    | 30/54 [02:11]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  63%|██████▎   | 34/54 [02:11]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  93%|█████████▎| 50/54 [02:12]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  93%|█████████▎| 50/54 [02:11]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  93%|█████████▎| 50/54 [02:12]
@@ -2406,10 +2451,7 @@ <h3>Converting to <a class="reference external" href="https://wiki.fysik.dtu.dk/
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  93%|█████████▎| 50/54 [02:21]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations:  93%|█████████▎| 50/54 [02:22]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations: 100%|██████████| 54/54 [02:22]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Finished relaxations: 100%|██████████| 54/54 [02:21]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>                                                    
diff --git a/core/papers_using_models.html b/core/papers_using_models.html
index aac1d12d8..3cc3f27a7 100644
--- a/core/papers_using_models.html
+++ b/core/papers_using_models.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
diff --git a/core/quickstart.html b/core/quickstart.html
index 6afb8b246..3df9832f8 100644
--- a/core/quickstart.html
+++ b/core/quickstart.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
@@ -629,6 +629,9 @@ <h1>Using pre-trained models in ASE<a class="headerlink" href="#using-pre-traine
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 WARNING:root:Unrecognized arguments: [&#39;symmetric_edge_symmetrization&#39;]
@@ -645,55 +648,55 @@ <h1>Using pre-trained models in ASE<a class="headerlink" href="#using-pre-traine
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
-BFGS:    0 23:11:46     -110.398659        1.6307
+BFGS:    0 16:43:37     -110.398659        1.6307
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 23:11:47     -110.545036        0.9250
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 16:43:37     -110.545036        0.9250
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 23:11:47     -110.622719        0.5629
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 16:43:38     -110.622719        0.5629
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 23:11:48     -110.613007        0.5830
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 16:43:38     -110.613007        0.5830
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 23:11:48     -110.641937        0.4612
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 16:43:39     -110.641937        0.4612
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 23:11:49     -110.691620        0.3621
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 16:43:39     -110.691620        0.3621
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 23:11:49     -110.723862        0.5928
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 16:43:40     -110.723862        0.5928
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 23:11:50     -110.764206        0.7120
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 16:43:40     -110.764206        0.7120
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 23:11:50     -110.869545        0.5228
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 16:43:40     -110.869545        0.5228
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 23:11:51     -110.938713        0.1706
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 16:43:41     -110.938713        0.1706
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 23:11:51     -110.977699        0.0839
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 16:43:41     -110.977699        0.0839
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 23:11:51     -110.992668        0.0717
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 16:43:42     -110.992668        0.0717
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 23:11:52     -110.999657        0.0612
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 16:43:42     -110.999657        0.0612
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 23:11:52     -110.995178        0.0595
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 16:43:43     -110.995178        0.0595
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 23:11:53     -111.005981        0.0603
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 16:43:43     -111.005981        0.0603
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 23:11:53     -111.007721        0.0621
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 16:43:44     -111.007721        0.0621
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 23:11:54     -111.010895        0.0351
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 16:43:44     -111.010895        0.0351
 </pre></div>
 </div>
 <img alt="../_images/46af7bb4be5c461aa6cf96d4a533467296c7c1ce5ddb6c0e7daffc68d22cf2f8.png" src="../_images/46af7bb4be5c461aa6cf96d4a533467296c7c1ce5ddb6c0e7daffc68d22cf2f8.png" />
diff --git a/execution_time.html b/execution_time.html
index e2b9c6ebd..eee93bca1 100644
--- a/execution_time.html
+++ b/execution_time.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/doctools.js?v=9a2dae69"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="_static/copybutton.js?v=f281be69"></script>
@@ -573,93 +573,93 @@ <h1>Notebook execution times<a class="headerlink" href="#notebook-execution-time
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="xref doc reference internal" href="core/fine-tuning/fine-tuning-oxides.html"><span class="doc">core/fine-tuning/fine-tuning-oxides</span></a></p></td>
-<td><p>2024-04-16 23:01</p></td>
+<td><p>2024-04-17 16:31</p></td>
 <td><p>cache</p></td>
-<td><p>1887.33</p></td>
-<td><p><abbr title="CellTimeoutError">❌</abbr></p></td>
+<td><p>196.79</p></td>
+<td><p>✅</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="xref doc reference internal" href="core/gotchas.html"><span class="doc">core/gotchas</span></a></p></td>
-<td><p>2024-04-16 23:01</p></td>
+<td><p>2024-04-17 16:32</p></td>
 <td><p>cache</p></td>
-<td><p>39.32</p></td>
+<td><p>49.53</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="xref doc reference internal" href="core/inference.html"><span class="doc">core/inference</span></a></p></td>
-<td><p>2024-04-16 23:02</p></td>
+<td><p>2024-04-17 16:34</p></td>
 <td><p>cache</p></td>
-<td><p>42.76</p></td>
+<td><p>107.88</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="xref doc reference internal" href="core/lmdb_dataset_creation.html"><span class="doc">core/lmdb_dataset_creation</span></a></p></td>
-<td><p>2024-04-16 23:02</p></td>
+<td><p>2024-04-17 16:34</p></td>
 <td><p>cache</p></td>
-<td><p>20.41</p></td>
+<td><p>19.91</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="xref doc reference internal" href="core/ocpapi.html"><span class="doc">core/ocpapi</span></a></p></td>
-<td><p>2024-04-16 23:11</p></td>
+<td><p>2024-04-17 16:43</p></td>
 <td><p>cache</p></td>
-<td><p>529.56</p></td>
+<td><p>546.96</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="xref doc reference internal" href="core/quickstart.html"><span class="doc">core/quickstart</span></a></p></td>
-<td><p>2024-04-16 23:11</p></td>
+<td><p>2024-04-17 16:43</p></td>
 <td><p>cache</p></td>
-<td><p>16.77</p></td>
+<td><p>16.07</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="xref doc reference internal" href="legacy_tutorials/OCP_Tutorial.html"><span class="doc">legacy_tutorials/OCP_Tutorial</span></a></p></td>
-<td><p>2024-04-16 23:26</p></td>
+<td><p>2024-04-17 16:58</p></td>
 <td><p>cache</p></td>
-<td><p>896.73</p></td>
+<td><p>896.32</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="xref doc reference internal" href="legacy_tutorials/data_preprocessing.html"><span class="doc">legacy_tutorials/data_preprocessing</span></a></p></td>
-<td><p>2024-04-16 23:27</p></td>
+<td><p>2024-04-17 16:59</p></td>
 <td><p>cache</p></td>
-<td><p>17.68</p></td>
+<td><p>19.28</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="xref doc reference internal" href="legacy_tutorials/data_visualization.html"><span class="doc">legacy_tutorials/data_visualization</span></a></p></td>
-<td><p>2024-04-16 23:28</p></td>
+<td><p>2024-04-17 16:59</p></td>
 <td><p>cache</p></td>
-<td><p>48.77</p></td>
+<td><p>48.79</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="xref doc reference internal" href="tutorials/NRR/NRR_example.html"><span class="doc">tutorials/NRR/NRR_example</span></a></p></td>
-<td><p>2024-04-16 23:39</p></td>
+<td><p>2024-04-17 17:11</p></td>
 <td><p>cache</p></td>
-<td><p>710.02</p></td>
+<td><p>723.26</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="xref doc reference internal" href="tutorials/OCP-introduction.html"><span class="doc">tutorials/OCP-introduction</span></a></p></td>
-<td><p>2024-04-16 23:44</p></td>
+<td><p>2024-04-17 17:16</p></td>
 <td><p>cache</p></td>
-<td><p>252.94</p></td>
+<td><p>251.29</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="xref doc reference internal" href="tutorials/adsorbml_walkthrough.html"><span class="doc">tutorials/adsorbml_walkthrough</span></a></p></td>
-<td><p>2024-04-16 23:54</p></td>
+<td><p>2024-04-17 17:25</p></td>
 <td><p>cache</p></td>
-<td><p>616.68</p></td>
+<td><p>580.87</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="xref doc reference internal" href="tutorials/advanced/embeddings.html"><span class="doc">tutorials/advanced/embeddings</span></a></p></td>
-<td><p>2024-04-16 23:55</p></td>
+<td><p>2024-04-17 17:27</p></td>
 <td><p>cache</p></td>
-<td><p>87.91</p></td>
+<td><p>85.45</p></td>
 <td><p>✅</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="xref doc reference internal" href="tutorials/advanced/fine-tuning-in-python.html"><span class="doc">tutorials/advanced/fine-tuning-in-python</span></a></p></td>
-<td><p>2024-04-17 00:26</p></td>
+<td><p>2024-04-17 17:28</p></td>
 <td><p>cache</p></td>
-<td><p>1813.93</p></td>
-<td><p><abbr title="CellTimeoutError">❌</abbr></p></td>
+<td><p>46.21</p></td>
+<td><p><abbr title="CellExecutionError">❌</abbr></p></td>
 </tr>
 <tr class="row-even"><td><p><a class="xref doc reference internal" href="tutorials/intro.html"><span class="doc">tutorials/intro</span></a></p></td>
-<td><p>2024-04-17 00:26</p></td>
+<td><p>2024-04-17 17:28</p></td>
 <td><p>cache</p></td>
-<td><p>5.65</p></td>
+<td><p>4.01</p></td>
 <td><p>✅</p></td>
 </tr>
 </tbody>
diff --git a/genindex.html b/genindex.html
index c5adf3c53..10bfd7850 100644
--- a/genindex.html
+++ b/genindex.html
@@ -33,7 +33,7 @@
     <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -42,7 +42,7 @@
   <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/doctools.js?v=9a2dae69"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="_static/copybutton.js?v=f281be69"></script>
diff --git a/index.html b/index.html
index d13035a03..5f5716997 100644
--- a/index.html
+++ b/index.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/doctools.js?v=9a2dae69"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="_static/copybutton.js?v=f281be69"></script>
@@ -58,6 +58,8 @@
     <script async="async" src="_static/sphinx-thebe.js?v=c100c467"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
+    <script>window.MathJax = {"options": {"processHtmlClass": "tex2jax_process|mathjax_process|math|output_area"}}</script>
+    <script defer="defer" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'index';</script>
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
@@ -583,7 +585,7 @@ <h1><code class="docutils literal notranslate"><span class="pre">ocp</span></cod
 <p><a class="reference external" href="https://circleci.com/gh/Open-Catalyst-Project/ocp"><img alt="CircleCI" src="https://circleci.com/gh/Open-Catalyst-Project/ocp.svg?style=shield" /></a>
 <a class="reference external" href="https://codecov.io/gh/Open-Catalyst-Project/ocp"><img alt="codecov" src="https://codecov.io/gh/Open-Catalyst-Project/ocp/graph/badge.svg?token=M606LH5LK6" /></a></p>
 <p><code class="docutils literal notranslate"><span class="pre">ocp</span></code> is the <a class="reference external" href="https://opencatalystproject.org/">Open Catalyst Project</a>’s
-library of state-of-the-art machine learning algorithms for catalysis.</p>
+library of state-of-the-art machine learning algorithms for chemistry. We’ve used it for catalysis and direct air capture (MOF) applications, and we hope it’s useful for your projects too!</p>
 <div align="left">
     <img src="https://user-images.githubusercontent.com/1156489/170388229-642c6619-dece-4c88-85ef-b46f4d5f1031.gif">
 </div>
diff --git a/legacy_tutorials/OCP_Tutorial.html b/legacy_tutorials/OCP_Tutorial.html
index 7e155037a..27ed259af 100644
--- a/legacy_tutorials/OCP_Tutorial.html
+++ b/legacy_tutorials/OCP_Tutorial.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
@@ -979,307 +979,307 @@ <h3>Structural relaxations<a class="headerlink" href="#structural-relaxations" t
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>       Step     Time          Energy         fmax
 *Force-consistent energies used in optimization.
-LBFGS:    0 23:11:59       15.804700*       6.7764
+LBFGS:    0 16:43:50       15.804700*       6.7764
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    1 23:11:59       12.190607*       4.3232
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    1 16:43:50       12.190607*       4.3232
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    2 23:11:59       10.240169*       2.2655
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    2 16:43:50       10.240169*       2.2655
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    3 23:11:59        9.779223*       0.9372
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    3 16:43:50        9.779223*       0.9372
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    4 23:11:59        9.671525*       0.7702
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    4 16:43:50        9.671525*       0.7702
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    5 23:11:59        9.574461*       0.6635
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    5 16:43:50        9.574461*       0.6635
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    6 23:11:59        9.537502*       0.5718
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    6 16:43:50        9.537502*       0.5718
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    7 23:11:59        9.516673*       0.4466
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    7 16:43:50        9.516673*       0.4466
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    8 23:11:59        9.481330*       0.4611
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    8 16:43:50        9.481330*       0.4611
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    9 23:11:59        9.462255*       0.2931
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    9 16:43:50        9.462255*       0.2931
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   10 23:12:00        9.448937*       0.2490
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   10 16:43:50        9.448937*       0.2490
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   11 23:12:00        9.433813*       0.2371
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   11 16:43:50        9.433813*       0.2371
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   12 23:12:00        9.418884*       0.2602
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   12 16:43:50        9.418884*       0.2602
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   13 23:12:00        9.409649*       0.2532
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   13 16:43:50        9.409649*       0.2532
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   14 23:12:00        9.404838*       0.1624
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   14 16:43:50        9.404838*       0.1624
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   15 23:12:00        9.401753*       0.1823
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   15 16:43:50        9.401753*       0.1823
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   16 23:12:00        9.397314*       0.2592
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   16 16:43:50        9.397314*       0.2592
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   17 23:12:00        9.387947*       0.3450
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   17 16:43:50        9.387947*       0.3450
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   18 23:12:00        9.370825*       0.4070
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   18 16:43:50        9.370825*       0.4070
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   19 23:12:00        9.342222*       0.4333
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   19 16:43:50        9.342222*       0.4333
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   20 23:12:00        9.286822*       0.5002
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   20 16:43:50        9.286822*       0.5002
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   21 23:12:00        9.249910*       0.5241
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   21 16:43:50        9.249910*       0.5241
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   22 23:12:00        9.187179*       0.5120
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   22 16:43:50        9.187179*       0.5120
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   23 23:12:00        9.124811*       0.5718
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   23 16:43:50        9.124811*       0.5718
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   24 23:12:00        9.066185*       0.5409
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   24 16:43:50        9.066185*       0.5409
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   25 23:12:00        9.000116*       1.0798
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   25 16:43:51        9.000116*       1.0798
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   26 23:12:00        8.893632*       0.7528
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   26 16:43:51        8.893632*       0.7528
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   27 23:12:00        8.845939*       0.3321
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   27 16:43:51        8.845939*       0.3321
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   28 23:12:00        8.815173*       0.2512
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   28 16:43:51        8.815173*       0.2512
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   29 23:12:00        8.808721*       0.2143
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   29 16:43:51        8.808721*       0.2143
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   30 23:12:00        8.794643*       0.1546
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   30 16:43:51        8.794643*       0.1546
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   31 23:12:00        8.789162*       0.2014
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   31 16:43:51        8.789162*       0.2014
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   32 23:12:00        8.782320*       0.1755
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   32 16:43:51        8.782320*       0.1755
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   33 23:12:00        8.780394*       0.1037
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   33 16:43:51        8.780394*       0.1037
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   34 23:12:00        8.778410*       0.1076
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   34 16:43:51        8.778410*       0.1076
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   35 23:12:00        8.775079*       0.1797
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   35 16:43:51        8.775079*       0.1797
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   36 23:12:00        8.766987*       0.3334
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   36 16:43:51        8.766987*       0.3334
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   37 23:12:00        8.750249*       0.5307
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   37 16:43:51        8.750249*       0.5307
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   38 23:12:01        8.725928*       0.6851
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   38 16:43:51        8.725928*       0.6851
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   39 23:12:01        8.702312*       0.5823
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   39 16:43:51        8.702312*       0.5823
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   40 23:12:01        8.661515*       0.3996
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   40 16:43:51        8.661515*       0.3996
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   41 23:12:01        8.643432*       0.5585
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   41 16:43:51        8.643432*       0.5585
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   42 23:12:01        8.621201*       0.3673
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   42 16:43:51        8.621201*       0.3673
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   43 23:12:01        8.614414*       0.1394
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   43 16:43:51        8.614414*       0.1394
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   44 23:12:01        8.610785*       0.1372
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   44 16:43:51        8.610785*       0.1372
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   45 23:12:01        8.608134*       0.1464
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   45 16:43:51        8.608134*       0.1464
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   46 23:12:01        8.604928*       0.1196
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   46 16:43:51        8.604928*       0.1196
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   47 23:12:01        8.599151*       0.1354
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   47 16:43:51        8.599151*       0.1354
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   48 23:12:01        8.594063*       0.1479
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   48 16:43:51        8.594063*       0.1479
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   49 23:12:01        8.589493*       0.1538
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   49 16:43:51        8.589493*       0.1538
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   50 23:12:01        8.587274*       0.0885
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   50 16:43:51        8.587274*       0.0885
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   51 23:12:01        8.584633*       0.0938
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   51 16:43:51        8.584633*       0.0938
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   52 23:12:01        8.580239*       0.1409
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   52 16:43:51        8.580239*       0.1409
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   53 23:12:01        8.572938*       0.2543
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   53 16:43:51        8.572938*       0.2543
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   54 23:12:01        8.563343*       0.2919
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   54 16:43:52        8.563343*       0.2919
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   55 23:12:01        8.554117*       0.1966
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   55 16:43:52        8.554117*       0.1966
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   56 23:12:01        8.547597*       0.1291
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   56 16:43:52        8.547597*       0.1291
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   57 23:12:01        8.542086*       0.1280
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   57 16:43:52        8.542086*       0.1280
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   58 23:12:01        8.535432*       0.0982
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   58 16:43:52        8.535432*       0.0982
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   59 23:12:01        8.533622*       0.1277
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   59 16:43:52        8.533622*       0.1277
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   60 23:12:01        8.527487*       0.1167
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   60 16:43:52        8.527487*       0.1167
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   61 23:12:01        8.523863*       0.1218
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   61 16:43:52        8.523863*       0.1218
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   62 23:12:01        8.519229*       0.1305
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   62 16:43:52        8.519229*       0.1305
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   63 23:12:01        8.515424*       0.1019
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   63 16:43:52        8.515424*       0.1019
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   64 23:12:01        8.511240*       0.2122
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   64 16:43:52        8.511240*       0.2122
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   65 23:12:01        8.507967*       0.2666
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   65 16:43:52        8.507967*       0.2666
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   66 23:12:02        8.503903*       0.2377
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   66 16:43:52        8.503903*       0.2377
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   67 23:12:02        8.497575*       0.1623
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   67 16:43:52        8.497575*       0.1623
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   68 23:12:02        8.485434*       0.2022
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   68 16:43:52        8.485434*       0.2022
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   69 23:12:02        8.466738*       0.2159
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   69 16:43:52        8.466738*       0.2159
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   70 23:12:02        8.467607*       0.3348
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   70 16:43:52        8.467607*       0.3348
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   71 23:12:02        8.454037*       0.1063
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   71 16:43:52        8.454037*       0.1063
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   72 23:12:02        8.448980*       0.1197
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   72 16:43:52        8.448980*       0.1197
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   73 23:12:02        8.446550*       0.0992
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   73 16:43:52        8.446550*       0.0992
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   74 23:12:02        8.444705*       0.0562
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   74 16:43:52        8.444705*       0.0562
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   75 23:12:02        8.443403*       0.0388
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   75 16:43:52        8.443403*       0.0388
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   76 23:12:02        8.442646*       0.0548
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   76 16:43:52        8.442646*       0.0548
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   77 23:12:02        8.442114*       0.0614
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   77 16:43:52        8.442114*       0.0614
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   78 23:12:02        8.440960*       0.0588
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   78 16:43:52        8.440960*       0.0588
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   79 23:12:02        8.439820*       0.0482
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   79 16:43:52        8.439820*       0.0482
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   80 23:12:02        8.438600*       0.0513
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   80 16:43:52        8.438600*       0.0513
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   81 23:12:02        8.437429*       0.0541
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   81 16:43:52        8.437429*       0.0541
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   82 23:12:02        8.435695*       0.0672
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   82 16:43:53        8.435695*       0.0672
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   83 23:12:02        8.431957*       0.0857
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   83 16:43:53        8.431957*       0.0857
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   84 23:12:02        8.423485*       0.1332
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   84 16:43:53        8.423485*       0.1332
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   85 23:12:02        8.413846*       0.2078
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   85 16:43:53        8.413846*       0.2078
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   86 23:12:02        8.404849*       0.1787
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   86 16:43:53        8.404849*       0.1787
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   87 23:12:02        8.385339*       0.1690
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   87 16:43:53        8.385339*       0.1690
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   88 23:12:02        8.386849*       0.1876
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   88 16:43:53        8.386849*       0.1876
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   89 23:12:02        8.371078*       0.1181
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   89 16:43:53        8.371078*       0.1181
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   90 23:12:02        8.368801*       0.0942
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   90 16:43:53        8.368801*       0.0942
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   91 23:12:02        8.366226*       0.0670
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   91 16:43:53        8.366226*       0.0670
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   92 23:12:02        8.361680*       0.0550
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   92 16:43:53        8.361680*       0.0550
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   93 23:12:03        8.360631*       0.0473
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   93 16:43:53        8.360631*       0.0473
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   94 23:12:03        8.359692*       0.0242
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   94 16:43:53        8.359692*       0.0242
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   95 23:12:03        8.359361*       0.0155
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   95 16:43:53        8.359361*       0.0155
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   96 23:12:03        8.359163*       0.0143
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   96 16:43:53        8.359163*       0.0143
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   97 23:12:03        8.359102*       0.0156
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   97 16:43:53        8.359102*       0.0156
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   98 23:12:03        8.359048*       0.0155
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   98 16:43:53        8.359048*       0.0155
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   99 23:12:03        8.358986*       0.0142
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   99 16:43:53        8.358986*       0.0142
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:  100 23:12:03        8.358921*       0.0132
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:  100 16:43:53        8.358921*       0.0132
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/ase/io/extxyz.py:302: UserWarning: Skipping unhashable information adsorbate_info
@@ -1832,7 +1832,7 @@ <h3>Imports<a class="headerlink" href="#imports" title="Link to this heading">#<
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:09 (INFO): Project root: /home/runner/work/ocp/ocp
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:43:59 (INFO): Project root: /home/runner/work/ocp/ocp
 </pre></div>
 </div>
 </div>
@@ -2017,19 +2017,19 @@ <h3>Create the trainer<a class="headerlink" href="#create-the-trainer" title="Li
 <div class="cell_output docutils container">
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
-2024-04-16 23:12:10 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+2024-04-17 16:44:00 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:10 (INFO): amp: true
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:00 (INFO): amp: true
 cmd:
-  checkpoint_dir: ./checkpoints/2024-04-16-23-13-04-S2EF-example
-  commit: 46df531
+  checkpoint_dir: ./checkpoints/2024-04-17-16-44-48-S2EF-example
+  commit: 3edcf80
   identifier: S2EF-example
-  logs_dir: ./logs/tensorboard/2024-04-16-23-13-04-S2EF-example
+  logs_dir: ./logs/tensorboard/2024-04-17-16-44-48-S2EF-example
   print_every: 5
-  results_dir: ./results/2024-04-16-23-13-04-S2EF-example
+  results_dir: ./results/2024-04-17-16-44-48-S2EF-example
   seed: 0
-  timestamp_id: 2024-04-16-23-13-04-S2EF-example
+  timestamp_id: 2024-04-17-16-44-48-S2EF-example
 dataset:
   format: lmdb
   grad_target_mean: 0.0
@@ -2093,7 +2093,6 @@ <h3>Create the trainer<a class="headerlink" href="#create-the-trainer" title="Li
     - magnitude_error
     misc:
     - energy_forces_within_threshold
-  primary_metric: forces_mae
 gpus: 0
 logger: tensorboard
 loss_fns:
@@ -2199,28 +2198,28 @@ <h3>Create the trainer<a class="headerlink" href="#create-the-trainer" title="Li
   src: data/s2ef/val_20
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:10 (INFO): Loading dataset: lmdb
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:00 (INFO): Loading dataset: lmdb
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:10 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:00 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:10 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:00 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:10 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:00 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:10 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:00 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:10 (INFO): Loading model: gemnet_oc
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:00 (INFO): Loading model: gemnet_oc
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:11 (INFO): Loaded GemNetOC with 2596214 parameters.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:01 (INFO): Loaded GemNetOC with 2596214 parameters.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:11 (WARNING): Model gradient logging to tensorboard not yet supported.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:01 (WARNING): Model gradient logging to tensorboard not yet supported.
 </pre></div>
 </div>
 </div>
@@ -2247,144 +2246,144 @@ <h3>Train the model<a class="headerlink" href="#train-the-model" title="Link to
   warnings.warn(
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:17 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.37e+01, forcesx_mae: 4.54e-01, forcesy_mae: 6.14e-01, forcesz_mae: 7.50e-01, forces_mae: 6.06e-01, forces_cosine_similarity: 1.12e-02, forces_magnitude_error: 1.07e+00, loss: 1.06e+02, lr: 5.00e-04, epoch: 5.00e-02, step: 5.00e+00
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:07 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.37e+01, forcesx_mae: 4.54e-01, forcesy_mae: 6.14e-01, forcesz_mae: 7.50e-01, forces_mae: 6.06e-01, forces_cosine_similarity: 1.12e-02, forces_magnitude_error: 1.07e+00, loss: 1.06e+02, lr: 5.00e-04, epoch: 5.00e-02, step: 5.00e+00
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:22 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.22e+01, forcesx_mae: 2.45e-01, forcesy_mae: 6.06e-01, forcesz_mae: 4.26e-01, forces_mae: 4.26e-01, forces_cosine_similarity: -1.76e-02, forces_magnitude_error: 7.53e-01, loss: 6.92e+01, lr: 5.00e-04, epoch: 1.00e-01, step: 1.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:12 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.22e+01, forcesx_mae: 2.45e-01, forcesy_mae: 6.06e-01, forcesz_mae: 4.26e-01, forces_mae: 4.26e-01, forces_cosine_similarity: -1.76e-02, forces_magnitude_error: 7.53e-01, loss: 6.92e+01, lr: 5.00e-04, epoch: 1.00e-01, step: 1.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:28 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.07e+01, forcesx_mae: 3.58e-01, forcesy_mae: 6.73e-01, forcesz_mae: 5.27e-01, forces_mae: 5.19e-01, forces_cosine_similarity: -4.96e-02, forces_magnitude_error: 6.64e-01, loss: 8.13e+01, lr: 5.00e-04, epoch: 1.50e-01, step: 1.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:18 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.07e+01, forcesx_mae: 3.58e-01, forcesy_mae: 6.73e-01, forcesz_mae: 5.27e-01, forces_mae: 5.19e-01, forces_cosine_similarity: -4.96e-02, forces_magnitude_error: 6.64e-01, loss: 8.13e+01, lr: 5.00e-04, epoch: 1.50e-01, step: 1.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:33 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 7.78e+00, forcesx_mae: 2.21e-01, forcesy_mae: 3.42e-01, forcesz_mae: 2.78e-01, forces_mae: 2.80e-01, forces_cosine_similarity: -8.22e-03, forces_magnitude_error: 4.00e-01, loss: 3.78e+01, lr: 5.00e-04, epoch: 2.00e-01, step: 2.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:23 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 7.78e+00, forcesx_mae: 2.21e-01, forcesy_mae: 3.42e-01, forcesz_mae: 2.78e-01, forces_mae: 2.80e-01, forces_cosine_similarity: -8.22e-03, forces_magnitude_error: 4.00e-01, loss: 3.78e+01, lr: 5.00e-04, epoch: 2.00e-01, step: 2.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:39 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 6.92e+00, forcesx_mae: 1.22e-01, forcesy_mae: 1.55e-01, forcesz_mae: 1.62e-01, forces_mae: 1.46e-01, forces_cosine_similarity: 1.52e-03, forces_magnitude_error: 1.70e-01, loss: 2.28e+01, lr: 5.00e-04, epoch: 2.50e-01, step: 2.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:29 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 6.92e+00, forcesx_mae: 1.22e-01, forcesy_mae: 1.55e-01, forcesz_mae: 1.62e-01, forces_mae: 1.46e-01, forces_cosine_similarity: 1.52e-03, forces_magnitude_error: 1.70e-01, loss: 2.28e+01, lr: 5.00e-04, epoch: 2.50e-01, step: 2.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:44 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.86e+00, forcesx_mae: 1.02e-01, forcesy_mae: 1.38e-01, forcesz_mae: 1.65e-01, forces_mae: 1.35e-01, forces_cosine_similarity: -2.59e-02, forces_magnitude_error: 1.53e-01, loss: 2.05e+01, lr: 5.00e-04, epoch: 3.00e-01, step: 3.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:34 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.86e+00, forcesx_mae: 1.02e-01, forcesy_mae: 1.38e-01, forcesz_mae: 1.65e-01, forces_mae: 1.35e-01, forces_cosine_similarity: -2.59e-02, forces_magnitude_error: 1.53e-01, loss: 2.05e+01, lr: 5.00e-04, epoch: 3.00e-01, step: 3.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:49 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.40e+00, forcesx_mae: 4.77e-02, forcesy_mae: 5.14e-02, forcesz_mae: 6.43e-02, forces_mae: 5.45e-02, forces_cosine_similarity: 1.31e-01, forces_magnitude_error: 6.22e-02, loss: 8.02e+00, lr: 5.00e-04, epoch: 3.50e-01, step: 3.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:39 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.40e+00, forcesx_mae: 4.77e-02, forcesy_mae: 5.14e-02, forcesz_mae: 6.43e-02, forces_mae: 5.45e-02, forces_cosine_similarity: 1.31e-01, forces_magnitude_error: 6.22e-02, loss: 8.02e+00, lr: 5.00e-04, epoch: 3.50e-01, step: 3.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:12:55 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.24e+00, forcesx_mae: 9.29e-02, forcesy_mae: 1.05e-01, forcesz_mae: 1.26e-01, forces_mae: 1.08e-01, forces_cosine_similarity: 1.88e-01, forces_magnitude_error: 1.44e-01, loss: 1.58e+01, lr: 5.00e-04, epoch: 4.00e-01, step: 4.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:44 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.24e+00, forcesx_mae: 9.29e-02, forcesy_mae: 1.05e-01, forcesz_mae: 1.26e-01, forces_mae: 1.08e-01, forces_cosine_similarity: 1.88e-01, forces_magnitude_error: 1.44e-01, loss: 1.58e+01, lr: 5.00e-04, epoch: 4.00e-01, step: 4.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:13:00 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 5.25e+00, forcesx_mae: 1.35e-01, forcesy_mae: 1.87e-01, forcesz_mae: 2.25e-01, forces_mae: 1.83e-01, forces_cosine_similarity: 2.66e-01, forces_magnitude_error: 2.86e-01, loss: 2.66e+01, lr: 5.00e-04, epoch: 4.50e-01, step: 4.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:50 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 5.25e+00, forcesx_mae: 1.35e-01, forcesy_mae: 1.87e-01, forcesz_mae: 2.25e-01, forces_mae: 1.83e-01, forces_cosine_similarity: 2.66e-01, forces_magnitude_error: 2.86e-01, loss: 2.66e+01, lr: 5.00e-04, epoch: 4.50e-01, step: 4.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:13:05 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.42e+00, forcesx_mae: 8.28e-02, forcesy_mae: 1.02e-01, forcesz_mae: 1.43e-01, forces_mae: 1.09e-01, forces_cosine_similarity: 1.62e-01, forces_magnitude_error: 1.69e-01, loss: 1.48e+01, lr: 5.00e-04, epoch: 5.00e-01, step: 5.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:44:55 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.43e+00, forcesx_mae: 8.28e-02, forcesy_mae: 1.02e-01, forcesz_mae: 1.43e-01, forces_mae: 1.09e-01, forces_cosine_similarity: 1.62e-01, forces_magnitude_error: 1.69e-01, loss: 1.48e+01, lr: 5.00e-04, epoch: 5.00e-01, step: 5.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:13:11 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.76e+00, forcesx_mae: 1.67e-01, forcesy_mae: 1.72e-01, forcesz_mae: 2.52e-01, forces_mae: 1.97e-01, forces_cosine_similarity: 3.22e-01, forces_magnitude_error: 3.54e-01, loss: 2.73e+01, lr: 5.00e-04, epoch: 5.50e-01, step: 5.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:00 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.76e+00, forcesx_mae: 1.67e-01, forcesy_mae: 1.72e-01, forcesz_mae: 2.52e-01, forces_mae: 1.97e-01, forces_cosine_similarity: 3.22e-01, forces_magnitude_error: 3.54e-01, loss: 2.73e+01, lr: 5.00e-04, epoch: 5.50e-01, step: 5.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:13:16 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.39e+00, forcesx_mae: 2.59e-02, forcesy_mae: 3.27e-02, forcesz_mae: 4.49e-02, forces_mae: 3.45e-02, forces_cosine_similarity: 1.68e-01, forces_magnitude_error: 4.51e-02, loss: 5.40e+00, lr: 5.00e-04, epoch: 6.00e-01, step: 6.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:05 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.39e+00, forcesx_mae: 2.59e-02, forcesy_mae: 3.27e-02, forcesz_mae: 4.49e-02, forces_mae: 3.45e-02, forces_cosine_similarity: 1.68e-01, forces_magnitude_error: 4.51e-02, loss: 5.40e+00, lr: 5.00e-04, epoch: 6.00e-01, step: 6.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:13:21 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 5.01e+00, forcesx_mae: 3.09e-01, forcesy_mae: 5.03e-01, forcesz_mae: 3.94e-01, forces_mae: 4.02e-01, forces_cosine_similarity: 4.33e-01, forces_magnitude_error: 7.60e-01, loss: 5.12e+01, lr: 5.00e-04, epoch: 6.50e-01, step: 6.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:11 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 5.01e+00, forcesx_mae: 3.09e-01, forcesy_mae: 5.03e-01, forcesz_mae: 3.94e-01, forces_mae: 4.02e-01, forces_cosine_similarity: 4.33e-01, forces_magnitude_error: 7.60e-01, loss: 5.12e+01, lr: 5.00e-04, epoch: 6.50e-01, step: 6.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:13:26 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.36e+00, forcesx_mae: 1.42e-01, forcesy_mae: 1.55e-01, forcesz_mae: 2.27e-01, forces_mae: 1.75e-01, forces_cosine_similarity: 3.90e-01, forces_magnitude_error: 3.00e-01, loss: 2.43e+01, lr: 5.00e-04, epoch: 7.00e-01, step: 7.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:16 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.36e+00, forcesx_mae: 1.42e-01, forcesy_mae: 1.55e-01, forcesz_mae: 2.27e-01, forces_mae: 1.75e-01, forces_cosine_similarity: 3.90e-01, forces_magnitude_error: 3.00e-01, loss: 2.43e+01, lr: 5.00e-04, epoch: 7.00e-01, step: 7.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:13:32 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.84e+00, forcesx_mae: 8.30e-02, forcesy_mae: 1.45e-01, forcesz_mae: 9.24e-02, forces_mae: 1.07e-01, forces_cosine_similarity: 4.87e-02, forces_magnitude_error: 1.01e-01, loss: 1.33e+01, lr: 5.00e-04, epoch: 7.50e-01, step: 7.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:21 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.84e+00, forcesx_mae: 8.30e-02, forcesy_mae: 1.45e-01, forcesz_mae: 9.24e-02, forces_mae: 1.07e-01, forces_cosine_similarity: 4.87e-02, forces_magnitude_error: 1.01e-01, loss: 1.33e+01, lr: 5.00e-04, epoch: 7.50e-01, step: 7.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:13:37 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.56e+00, forcesx_mae: 1.39e-01, forcesy_mae: 2.00e-01, forcesz_mae: 1.79e-01, forces_mae: 1.72e-01, forces_cosine_similarity: 2.47e-01, forces_magnitude_error: 2.35e-01, loss: 2.32e+01, lr: 5.00e-04, epoch: 8.00e-01, step: 8.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:26 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.56e+00, forcesx_mae: 1.39e-01, forcesy_mae: 2.00e-01, forcesz_mae: 1.79e-01, forces_mae: 1.72e-01, forces_cosine_similarity: 2.47e-01, forces_magnitude_error: 2.35e-01, loss: 2.32e+01, lr: 5.00e-04, epoch: 8.00e-01, step: 8.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:13:42 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.04e+00, forcesx_mae: 2.15e-01, forcesy_mae: 8.73e-01, forcesz_mae: 3.32e-01, forces_mae: 4.73e-01, forces_cosine_similarity: 3.61e-01, forces_magnitude_error: 9.50e-01, loss: 5.55e+01, lr: 5.00e-04, epoch: 8.50e-01, step: 8.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:32 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.04e+00, forcesx_mae: 2.15e-01, forcesy_mae: 8.73e-01, forcesz_mae: 3.32e-01, forces_mae: 4.73e-01, forces_cosine_similarity: 3.61e-01, forces_magnitude_error: 9.50e-01, loss: 5.55e+01, lr: 5.00e-04, epoch: 8.50e-01, step: 8.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:13:48 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.04e+00, forcesx_mae: 5.54e-02, forcesy_mae: 8.34e-02, forcesz_mae: 7.28e-02, forces_mae: 7.05e-02, forces_cosine_similarity: 2.65e-01, forces_magnitude_error: 8.20e-02, loss: 9.80e+00, lr: 5.00e-04, epoch: 9.00e-01, step: 9.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:37 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.04e+00, forcesx_mae: 5.54e-02, forcesy_mae: 8.34e-02, forcesz_mae: 7.28e-02, forces_mae: 7.05e-02, forces_cosine_similarity: 2.65e-01, forces_magnitude_error: 8.20e-02, loss: 9.80e+00, lr: 5.00e-04, epoch: 9.00e-01, step: 9.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:13:53 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 6.24e-01, forcesx_mae: 3.87e-02, forcesy_mae: 4.64e-02, forcesz_mae: 6.17e-02, forces_mae: 4.89e-02, forces_cosine_similarity: 2.51e-01, forces_magnitude_error: 6.13e-02, loss: 6.77e+00, lr: 5.00e-04, epoch: 9.50e-01, step: 9.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:42 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 6.24e-01, forcesx_mae: 3.87e-02, forcesy_mae: 4.64e-02, forcesz_mae: 6.17e-02, forces_mae: 4.89e-02, forces_cosine_similarity: 2.51e-01, forces_magnitude_error: 6.13e-02, loss: 6.77e+00, lr: 5.00e-04, epoch: 9.50e-01, step: 9.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:13:58 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 7.63e-01, forcesx_mae: 6.36e-02, forcesy_mae: 1.05e-01, forcesz_mae: 7.27e-02, forces_mae: 8.05e-02, forces_cosine_similarity: 2.24e-01, forces_magnitude_error: 9.96e-02, loss: 1.01e+01, lr: 5.00e-04, epoch: 1.00e+00, step: 1.00e+02
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:47 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 7.63e-01, forcesx_mae: 6.36e-02, forcesy_mae: 1.05e-01, forcesz_mae: 7.27e-02, forces_mae: 8.05e-02, forces_cosine_similarity: 2.24e-01, forces_magnitude_error: 9.96e-02, loss: 1.01e+01, lr: 5.00e-04, epoch: 1.00e+00, step: 1.00e+02
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:13:58 (INFO): Evaluating on val.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:47 (INFO): Evaluating on val.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/20 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/20 [00:00&lt;?, ?it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
+  storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   5%|▌         | 1/20 [00:00&lt;00:07,  2.51it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   5%|▌         | 1/20 [00:00&lt;00:08,  2.26it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  10%|█         | 2/20 [00:00&lt;00:05,  3.13it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  10%|█         | 2/20 [00:00&lt;00:05,  3.06it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  15%|█▌        | 3/20 [00:00&lt;00:04,  3.71it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  15%|█▌        | 3/20 [00:00&lt;00:04,  3.66it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  20%|██        | 4/20 [00:01&lt;00:03,  4.06it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  20%|██        | 4/20 [00:01&lt;00:03,  4.11it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  25%|██▌       | 5/20 [00:01&lt;00:03,  4.20it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  25%|██▌       | 5/20 [00:01&lt;00:03,  4.22it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  30%|███       | 6/20 [00:01&lt;00:03,  4.15it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  30%|███       | 6/20 [00:01&lt;00:03,  4.27it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  35%|███▌      | 7/20 [00:01&lt;00:02,  4.34it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  35%|███▌      | 7/20 [00:01&lt;00:02,  4.48it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  40%|████      | 8/20 [00:01&lt;00:02,  4.37it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  40%|████      | 8/20 [00:01&lt;00:02,  4.57it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  45%|████▌     | 9/20 [00:02&lt;00:02,  4.45it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  45%|████▌     | 9/20 [00:02&lt;00:02,  4.70it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 10/20 [00:02&lt;00:02,  4.52it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 10/20 [00:02&lt;00:02,  4.69it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  55%|█████▌    | 11/20 [00:02&lt;00:02,  4.49it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  55%|█████▌    | 11/20 [00:02&lt;00:01,  4.67it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  60%|██████    | 12/20 [00:02&lt;00:01,  4.46it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  60%|██████    | 12/20 [00:02&lt;00:01,  4.65it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  65%|██████▌   | 13/20 [00:03&lt;00:01,  4.57it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  65%|██████▌   | 13/20 [00:03&lt;00:01,  4.75it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  70%|███████   | 14/20 [00:03&lt;00:01,  4.56it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  70%|███████   | 14/20 [00:03&lt;00:01,  4.84it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  75%|███████▌  | 15/20 [00:03&lt;00:01,  4.66it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  75%|███████▌  | 15/20 [00:03&lt;00:01,  4.92it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  80%|████████  | 16/20 [00:03&lt;00:00,  4.58it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  80%|████████  | 16/20 [00:03&lt;00:00,  4.89it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  85%|████████▌ | 17/20 [00:03&lt;00:00,  4.67it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  85%|████████▌ | 17/20 [00:03&lt;00:00,  4.96it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  90%|█████████ | 18/20 [00:04&lt;00:00,  4.77it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  90%|█████████ | 18/20 [00:03&lt;00:00,  5.02it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  95%|█████████▌| 19/20 [00:04&lt;00:00,  4.67it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  95%|█████████▌| 19/20 [00:04&lt;00:00,  4.90it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.79it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.84it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.36it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.49it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:03 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 9.3699, forcesx_mae: 0.3033, forcesy_mae: 0.2619, forcesz_mae: 0.4725, forces_mae: 0.3459, forces_cosine_similarity: 0.0218, forces_magnitude_error: 0.4929, loss: 53.3609, epoch: 1.0000
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:52 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 9.3699, forcesx_mae: 0.3033, forcesy_mae: 0.2619, forcesz_mae: 0.4725, forces_mae: 0.3459, forces_cosine_similarity: 0.0218, forces_magnitude_error: 0.4929, loss: 53.3609, epoch: 1.0000
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -2411,7 +2410,7 @@ <h4>Load the best checkpoint<a class="headerlink" href="#load-the-best-checkpoin
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;./checkpoints/2024-04-16-23-13-04-S2EF-example/best_checkpoint.pt&#39;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;./checkpoints/2024-04-17-16-44-48-S2EF-example/best_checkpoint.pt&#39;
 </pre></div>
 </div>
 </div>
@@ -2469,19 +2468,19 @@ <h4>Load the best checkpoint<a class="headerlink" href="#load-the-best-checkpoin
 <div class="cell_output docutils container">
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
-2024-04-16 23:14:03 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+2024-04-17 16:45:52 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:03 (INFO): amp: true
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:52 (INFO): amp: true
 cmd:
-  checkpoint_dir: ./checkpoints/2024-04-16-23-13-04-S2EF-val-example
-  commit: 46df531
+  checkpoint_dir: ./checkpoints/2024-04-17-16-46-56-S2EF-val-example
+  commit: 3edcf80
   identifier: S2EF-val-example
-  logs_dir: ./logs/tensorboard/2024-04-16-23-13-04-S2EF-val-example
+  logs_dir: ./logs/tensorboard/2024-04-17-16-46-56-S2EF-val-example
   print_every: 5
-  results_dir: ./results/2024-04-16-23-13-04-S2EF-val-example
+  results_dir: ./results/2024-04-17-16-46-56-S2EF-val-example
   seed: 0
-  timestamp_id: 2024-04-16-23-13-04-S2EF-val-example
+  timestamp_id: 2024-04-17-16-46-56-S2EF-val-example
 dataset:
   format: lmdb
   grad_target_mean: 0.0
@@ -2545,7 +2544,6 @@ <h4>Load the best checkpoint<a class="headerlink" href="#load-the-best-checkpoin
     - magnitude_error
     misc:
     - energy_forces_within_threshold
-  primary_metric: forces_mae
 gpus: 0
 logger: tensorboard
 loss_fns:
@@ -2653,37 +2651,37 @@ <h4>Load the best checkpoint<a class="headerlink" href="#load-the-best-checkpoin
   src: data/s2ef/val_20
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:03 (INFO): Loading dataset: lmdb
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:52 (INFO): Loading dataset: lmdb
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:03 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:52 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:03 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:52 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:03 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:52 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:03 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:52 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:03 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:52 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:03 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:52 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:03 (INFO): Loading model: gemnet_oc
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:52 (INFO): Loading model: gemnet_oc
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:04 (INFO): Loaded GemNetOC with 2596214 parameters.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:53 (INFO): Loaded GemNetOC with 2596214 parameters.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:04 (WARNING): Model gradient logging to tensorboard not yet supported.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:53 (WARNING): Model gradient logging to tensorboard not yet supported.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:04 (INFO): Loading checkpoint from: ./checkpoints/2024-04-16-23-13-04-S2EF-example/best_checkpoint.pt
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:53 (INFO): Loading checkpoint from: ./checkpoints/2024-04-17-16-44-48-S2EF-example/best_checkpoint.pt
 </pre></div>
 </div>
 </div>
@@ -2699,16 +2697,16 @@ <h4>Run on the test set<a class="headerlink" href="#run-on-the-test-set" title="
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:04 (INFO): Predicting on test.
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/20 [00:00&lt;?, ?it/s]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:53 (INFO): Predicting on test.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/20 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   storage = elem.storage()._new_shared(numel)
 </pre></div>
@@ -2720,67 +2718,67 @@ <h4>Run on the test set<a class="headerlink" href="#run-on-the-test-set" title="
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   5%|▌         | 1/20 [00:00&lt;00:08,  2.27it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  10%|█         | 2/20 [00:00&lt;00:05,  3.15it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  10%|█         | 2/20 [00:00&lt;00:05,  3.08it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  15%|█▌        | 3/20 [00:00&lt;00:04,  3.74it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  15%|█▌        | 3/20 [00:00&lt;00:04,  3.76it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  20%|██        | 4/20 [00:01&lt;00:03,  4.03it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  20%|██        | 4/20 [00:01&lt;00:03,  4.10it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  25%|██▌       | 5/20 [00:01&lt;00:03,  4.01it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  25%|██▌       | 5/20 [00:01&lt;00:03,  4.17it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  30%|███       | 6/20 [00:01&lt;00:03,  4.15it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  30%|███       | 6/20 [00:01&lt;00:03,  4.21it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  35%|███▌      | 7/20 [00:01&lt;00:02,  4.35it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  35%|███▌      | 7/20 [00:01&lt;00:02,  4.42it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  40%|████      | 8/20 [00:02&lt;00:02,  4.41it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  40%|████      | 8/20 [00:01&lt;00:02,  4.55it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  45%|████▌     | 9/20 [00:02&lt;00:02,  4.53it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  45%|████▌     | 9/20 [00:02&lt;00:02,  4.68it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 10/20 [00:02&lt;00:02,  4.40it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 10/20 [00:02&lt;00:02,  4.70it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  55%|█████▌    | 11/20 [00:02&lt;00:01,  4.56it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  55%|█████▌    | 11/20 [00:02&lt;00:01,  4.77it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  60%|██████    | 12/20 [00:02&lt;00:01,  4.62it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  60%|██████    | 12/20 [00:02&lt;00:01,  4.50it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  65%|██████▌   | 13/20 [00:03&lt;00:01,  4.74it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  65%|██████▌   | 13/20 [00:03&lt;00:01,  4.66it/s]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  70%|███████   | 14/20 [00:03&lt;00:01,  4.77it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  75%|███████▌  | 15/20 [00:03&lt;00:01,  4.66it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  75%|███████▌  | 15/20 [00:03&lt;00:01,  4.75it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  80%|████████  | 16/20 [00:03&lt;00:00,  4.76it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  80%|████████  | 16/20 [00:03&lt;00:00,  4.78it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  85%|████████▌ | 17/20 [00:03&lt;00:00,  4.84it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  85%|████████▌ | 17/20 [00:03&lt;00:00,  4.83it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  90%|█████████ | 18/20 [00:04&lt;00:00,  4.91it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  90%|█████████ | 18/20 [00:04&lt;00:00,  4.94it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  95%|█████████▌| 19/20 [00:04&lt;00:00,  4.83it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  95%|█████████▌| 19/20 [00:04&lt;00:00,  4.93it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.75it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.88it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.38it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.45it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:08 (INFO): Writing results to ./results/2024-04-16-23-13-04-S2EF-val-example/s2ef_s2ef_results.npz
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:57 (INFO): Writing results to ./results/2024-04-17-16-46-56-S2EF-val-example/s2ef_s2ef_results.npz
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -2972,19 +2970,19 @@ <h3>Define the Config<a class="headerlink" href="#id4" title="Link to this headi
 <div class="cell_output docutils container">
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
-2024-04-16 23:14:08 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+2024-04-17 16:45:57 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:08 (INFO): amp: true
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:57 (INFO): amp: true
 cmd:
-  checkpoint_dir: ./checkpoints/2024-04-16-23-15-12-IS2RE-example
-  commit: 46df531
+  checkpoint_dir: ./checkpoints/2024-04-17-16-46-56-IS2RE-example
+  commit: 3edcf80
   identifier: IS2RE-example
-  logs_dir: ./logs/tensorboard/2024-04-16-23-15-12-IS2RE-example
+  logs_dir: ./logs/tensorboard/2024-04-17-16-46-56-IS2RE-example
   print_every: 5
-  results_dir: ./results/2024-04-16-23-15-12-IS2RE-example
+  results_dir: ./results/2024-04-17-16-46-56-IS2RE-example
   seed: 0
-  timestamp_id: 2024-04-16-23-15-12-IS2RE-example
+  timestamp_id: 2024-04-17-16-46-56-IS2RE-example
 dataset:
   format: single_point_lmdb
   key_mapping:
@@ -3102,40 +3100,40 @@ <h3>Define the Config<a class="headerlink" href="#id4" title="Link to this headi
   src: data/is2re/val_20/data.lmdb
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:08 (INFO): Loading dataset: single_point_lmdb
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:57 (INFO): Loading dataset: single_point_lmdb
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:08 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:57 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:08 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:57 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:09 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:57 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:09 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:57 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:09 (INFO): Loading model: gemnet_t
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:57 (INFO): Loading model: gemnet_t
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (WARNING): Scale factor OutBlock_0_had not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:58 (WARNING): Scale factor OutBlock_0_had not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (WARNING): Scale factor OutBlock_1_had not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:58 (WARNING): Scale factor OutBlock_1_had not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (WARNING): Scale factor OutBlock_2_had not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:58 (WARNING): Scale factor OutBlock_2_had not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (WARNING): Scale factor OutBlock_3_had not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:58 (WARNING): Scale factor OutBlock_3_had not found in model
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (INFO): Loaded GemNetT with 22774037 parameters.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:58 (INFO): Loaded GemNetT with 22774037 parameters.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (WARNING): Model gradient logging to tensorboard not yet supported.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:58 (WARNING): Model gradient logging to tensorboard not yet supported.
 </pre></div>
 </div>
 </div>
@@ -3150,28 +3148,28 @@ <h3>Train the Model<a class="headerlink" href="#id5" title="Link to this heading
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (WARNING): Scale factor OutBlock_4_sum (out_blocks.4.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:59 (WARNING): Scale factor OutBlock_4_sum (out_blocks.4.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (WARNING): Scale factor OutBlock_5_sum (out_blocks.5.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:59 (WARNING): Scale factor OutBlock_5_sum (out_blocks.5.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (WARNING): Scale factor TripInteraction_4_had_rbf (int_blocks.3.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:59 (WARNING): Scale factor TripInteraction_4_had_rbf (int_blocks.3.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (WARNING): Scale factor TripInteraction_4_sum_cbf (int_blocks.3.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:59 (WARNING): Scale factor TripInteraction_4_sum_cbf (int_blocks.3.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (WARNING): Scale factor AtomUpdate_4_sum (int_blocks.3.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:59 (WARNING): Scale factor AtomUpdate_4_sum (int_blocks.3.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (WARNING): Scale factor TripInteraction_5_had_rbf (int_blocks.4.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:59 (WARNING): Scale factor TripInteraction_5_had_rbf (int_blocks.4.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (WARNING): Scale factor TripInteraction_5_sum_cbf (int_blocks.4.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:59 (WARNING): Scale factor TripInteraction_5_sum_cbf (int_blocks.4.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:10 (WARNING): Scale factor AtomUpdate_5_sum (int_blocks.4.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:45:59 (WARNING): Scale factor AtomUpdate_5_sum (int_blocks.4.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
@@ -3186,91 +3184,91 @@ <h3>Train the Model<a class="headerlink" href="#id5" title="Link to this heading
   warnings.warn(
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:24 (INFO): energy_mae: 1.61e+03, energy_mse: 4.56e+06, energy_within_threshold: 0.00e+00, loss: 8.77e+02, lr: 1.00e-04, epoch: 5.00e-02, step: 5.00e+00
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:46:12 (INFO): energy_mae: 1.61e+03, energy_mse: 4.56e+06, energy_within_threshold: 0.00e+00, loss: 8.77e+02, lr: 1.00e-04, epoch: 5.00e-02, step: 5.00e+00
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:33 (INFO): energy_mae: 4.03e+03, energy_mse: 6.12e+07, energy_within_threshold: 0.00e+00, loss: 2.19e+03, lr: 1.00e-04, epoch: 1.00e-01, step: 1.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:46:21 (INFO): energy_mae: 4.03e+03, energy_mse: 6.12e+07, energy_within_threshold: 0.00e+00, loss: 2.20e+03, lr: 1.00e-04, epoch: 1.00e-01, step: 1.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:14:46 (INFO): energy_mae: 7.61e+02, energy_mse: 1.13e+06, energy_within_threshold: 0.00e+00, loss: 4.14e+02, lr: 1.00e-04, epoch: 1.50e-01, step: 1.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:46:34 (INFO): energy_mae: 7.60e+02, energy_mse: 1.12e+06, energy_within_threshold: 0.00e+00, loss: 4.14e+02, lr: 1.00e-04, epoch: 1.50e-01, step: 1.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:15:01 (INFO): energy_mae: 1.91e+03, energy_mse: 9.36e+06, energy_within_threshold: 0.00e+00, loss: 1.04e+03, lr: 1.00e-04, epoch: 2.00e-01, step: 2.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:46:49 (INFO): energy_mae: 1.90e+03, energy_mse: 9.34e+06, energy_within_threshold: 0.00e+00, loss: 1.04e+03, lr: 1.00e-04, epoch: 2.00e-01, step: 2.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:15:14 (INFO): energy_mae: 4.65e+02, energy_mse: 7.62e+05, energy_within_threshold: 0.00e+00, loss: 2.53e+02, lr: 1.00e-04, epoch: 2.50e-01, step: 2.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:47:03 (INFO): energy_mae: 4.69e+02, energy_mse: 7.80e+05, energy_within_threshold: 0.00e+00, loss: 2.55e+02, lr: 1.00e-04, epoch: 2.50e-01, step: 2.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:15:22 (INFO): energy_mae: 2.34e+02, energy_mse: 1.20e+05, energy_within_threshold: 0.00e+00, loss: 1.27e+02, lr: 1.00e-04, epoch: 3.00e-01, step: 3.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:47:11 (INFO): energy_mae: 2.37e+02, energy_mse: 1.24e+05, energy_within_threshold: 0.00e+00, loss: 1.29e+02, lr: 1.00e-04, epoch: 3.00e-01, step: 3.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:15:31 (INFO): energy_mae: 2.35e+03, energy_mse: 2.22e+07, energy_within_threshold: 0.00e+00, loss: 1.28e+03, lr: 1.00e-04, epoch: 3.50e-01, step: 3.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:47:19 (INFO): energy_mae: 2.32e+03, energy_mse: 2.20e+07, energy_within_threshold: 0.00e+00, loss: 1.26e+03, lr: 1.00e-04, epoch: 3.50e-01, step: 3.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:15:41 (INFO): energy_mae: 2.95e+03, energy_mse: 4.12e+07, energy_within_threshold: 0.00e+00, loss: 1.61e+03, lr: 1.00e-04, epoch: 4.00e-01, step: 4.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:47:29 (INFO): energy_mae: 3.12e+03, energy_mse: 4.67e+07, energy_within_threshold: 0.00e+00, loss: 1.70e+03, lr: 1.00e-04, epoch: 4.00e-01, step: 4.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:15:54 (INFO): energy_mae: 8.48e+02, energy_mse: 1.39e+06, energy_within_threshold: 0.00e+00, loss: 4.61e+02, lr: 1.00e-04, epoch: 4.50e-01, step: 4.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:47:42 (INFO): energy_mae: 8.06e+02, energy_mse: 1.08e+06, energy_within_threshold: 0.00e+00, loss: 4.39e+02, lr: 1.00e-04, epoch: 4.50e-01, step: 4.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:16:07 (INFO): energy_mae: 6.69e+02, energy_mse: 9.18e+05, energy_within_threshold: 0.00e+00, loss: 3.64e+02, lr: 1.00e-04, epoch: 5.00e-01, step: 5.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:47:55 (INFO): energy_mae: 6.41e+02, energy_mse: 8.02e+05, energy_within_threshold: 0.00e+00, loss: 3.49e+02, lr: 1.00e-04, epoch: 5.00e-01, step: 5.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:16:22 (INFO): energy_mae: 3.82e+02, energy_mse: 1.98e+05, energy_within_threshold: 0.00e+00, loss: 2.08e+02, lr: 1.00e-04, epoch: 5.50e-01, step: 5.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:48:10 (INFO): energy_mae: 3.44e+02, energy_mse: 1.39e+05, energy_within_threshold: 0.00e+00, loss: 1.87e+02, lr: 1.00e-04, epoch: 5.50e-01, step: 5.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:16:34 (INFO): energy_mae: 3.06e+02, energy_mse: 1.53e+05, energy_within_threshold: 0.00e+00, loss: 1.67e+02, lr: 1.00e-04, epoch: 6.00e-01, step: 6.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:48:22 (INFO): energy_mae: 2.89e+02, energy_mse: 1.32e+05, energy_within_threshold: 0.00e+00, loss: 1.57e+02, lr: 1.00e-04, epoch: 6.00e-01, step: 6.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:16:48 (INFO): energy_mae: 5.93e+02, energy_mse: 7.16e+05, energy_within_threshold: 0.00e+00, loss: 3.23e+02, lr: 1.00e-04, epoch: 6.50e-01, step: 6.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:48:35 (INFO): energy_mae: 6.38e+02, energy_mse: 6.89e+05, energy_within_threshold: 0.00e+00, loss: 3.47e+02, lr: 1.00e-04, epoch: 6.50e-01, step: 6.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:17:06 (INFO): energy_mae: 2.88e+03, energy_mse: 3.67e+07, energy_within_threshold: 0.00e+00, loss: 1.57e+03, lr: 1.00e-04, epoch: 7.00e-01, step: 7.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:48:53 (INFO): energy_mae: 2.23e+03, energy_mse: 2.06e+07, energy_within_threshold: 0.00e+00, loss: 1.21e+03, lr: 1.00e-04, epoch: 7.00e-01, step: 7.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:17:17 (INFO): energy_mae: 4.02e+02, energy_mse: 3.40e+05, energy_within_threshold: 0.00e+00, loss: 2.19e+02, lr: 1.00e-04, epoch: 7.50e-01, step: 7.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:04 (INFO): energy_mae: 3.62e+02, energy_mse: 1.71e+05, energy_within_threshold: 0.00e+00, loss: 1.97e+02, lr: 1.00e-04, epoch: 7.50e-01, step: 7.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:17:29 (INFO): energy_mae: 2.41e+02, energy_mse: 1.23e+05, energy_within_threshold: 0.00e+00, loss: 1.31e+02, lr: 1.00e-04, epoch: 8.00e-01, step: 8.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:16 (INFO): energy_mae: 2.47e+02, energy_mse: 9.28e+04, energy_within_threshold: 0.00e+00, loss: 1.35e+02, lr: 1.00e-04, epoch: 8.00e-01, step: 8.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:17:38 (INFO): energy_mae: 2.44e+02, energy_mse: 1.07e+05, energy_within_threshold: 0.00e+00, loss: 1.33e+02, lr: 1.00e-04, epoch: 8.50e-01, step: 8.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:25 (INFO): energy_mae: 1.60e+02, energy_mse: 3.09e+04, energy_within_threshold: 0.00e+00, loss: 8.70e+01, lr: 1.00e-04, epoch: 8.50e-01, step: 8.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:17:48 (INFO): energy_mae: 2.54e+02, energy_mse: 1.72e+05, energy_within_threshold: 0.00e+00, loss: 1.38e+02, lr: 1.00e-04, epoch: 9.00e-01, step: 9.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:35 (INFO): energy_mae: 1.35e+02, energy_mse: 3.22e+04, energy_within_threshold: 0.00e+00, loss: 7.36e+01, lr: 1.00e-04, epoch: 9.00e-01, step: 9.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:17:59 (INFO): energy_mae: 3.03e+02, energy_mse: 2.04e+05, energy_within_threshold: 0.00e+00, loss: 1.65e+02, lr: 1.00e-04, epoch: 9.50e-01, step: 9.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:46 (INFO): energy_mae: 2.21e+02, energy_mse: 9.84e+04, energy_within_threshold: 0.00e+00, loss: 1.20e+02, lr: 1.00e-04, epoch: 9.50e-01, step: 9.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:08 (INFO): energy_mae: 7.84e+01, energy_mse: 1.14e+04, energy_within_threshold: 0.00e+00, loss: 4.27e+01, lr: 1.00e-04, epoch: 1.00e+00, step: 1.00e+02
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:55 (INFO): energy_mae: 1.33e+02, energy_mse: 2.59e+04, energy_within_threshold: 0.00e+00, loss: 7.26e+01, lr: 1.00e-04, epoch: 1.00e+00, step: 1.00e+02
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:09 (WARNING): Scale factor OutBlock_4_sum (out_blocks.4.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:56 (WARNING): Scale factor OutBlock_4_sum (out_blocks.4.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:09 (WARNING): Scale factor OutBlock_5_sum (out_blocks.5.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:56 (WARNING): Scale factor OutBlock_5_sum (out_blocks.5.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:09 (WARNING): Scale factor TripInteraction_4_had_rbf (int_blocks.3.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:56 (WARNING): Scale factor TripInteraction_4_had_rbf (int_blocks.3.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:09 (WARNING): Scale factor TripInteraction_4_sum_cbf (int_blocks.3.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:56 (WARNING): Scale factor TripInteraction_4_sum_cbf (int_blocks.3.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:09 (WARNING): Scale factor AtomUpdate_4_sum (int_blocks.3.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:56 (WARNING): Scale factor AtomUpdate_4_sum (int_blocks.3.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:09 (WARNING): Scale factor TripInteraction_5_had_rbf (int_blocks.4.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:56 (WARNING): Scale factor TripInteraction_5_had_rbf (int_blocks.4.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:09 (WARNING): Scale factor TripInteraction_5_sum_cbf (int_blocks.4.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:56 (WARNING): Scale factor TripInteraction_5_sum_cbf (int_blocks.4.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:09 (WARNING): Scale factor AtomUpdate_5_sum (int_blocks.4.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:56 (WARNING): Scale factor AtomUpdate_5_sum (int_blocks.4.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:09 (INFO): Evaluating on val.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:49:56 (INFO): Evaluating on val.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/20 [00:00&lt;?, ?it/s]
@@ -3284,70 +3282,70 @@ <h3>Train the Model<a class="headerlink" href="#id5" title="Link to this heading
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   5%|▌         | 1/20 [00:01&lt;00:24,  1.30s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   5%|▌         | 1/20 [00:01&lt;00:23,  1.25s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  10%|█         | 2/20 [00:02&lt;00:27,  1.51s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  10%|█         | 2/20 [00:02&lt;00:26,  1.46s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  15%|█▌        | 3/20 [00:04&lt;00:24,  1.42s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  15%|█▌        | 3/20 [00:04&lt;00:23,  1.40s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  20%|██        | 4/20 [00:04&lt;00:17,  1.08s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  20%|██        | 4/20 [00:04&lt;00:17,  1.07s/it]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  25%|██▌       | 5/20 [00:05&lt;00:15,  1.05s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  30%|███       | 6/20 [00:06&lt;00:14,  1.03s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  30%|███       | 6/20 [00:06&lt;00:14,  1.02s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  35%|███▌      | 7/20 [00:07&lt;00:11,  1.13it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  35%|███▌      | 7/20 [00:07&lt;00:11,  1.14it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  40%|████      | 8/20 [00:10&lt;00:18,  1.55s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  40%|████      | 8/20 [00:10&lt;00:18,  1.54s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  45%|████▌     | 9/20 [00:11&lt;00:14,  1.28s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  45%|████▌     | 9/20 [00:10&lt;00:13,  1.27s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 10/20 [00:11&lt;00:10,  1.05s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 10/20 [00:11&lt;00:10,  1.03s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  55%|█████▌    | 11/20 [00:12&lt;00:07,  1.17it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  55%|█████▌    | 11/20 [00:11&lt;00:07,  1.18it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  60%|██████    | 12/20 [00:12&lt;00:07,  1.13it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  60%|██████    | 12/20 [00:12&lt;00:06,  1.15it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  65%|██████▌   | 13/20 [00:13&lt;00:05,  1.32it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  65%|██████▌   | 13/20 [00:13&lt;00:05,  1.34it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  70%|███████   | 14/20 [00:14&lt;00:05,  1.13it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  70%|███████   | 14/20 [00:14&lt;00:05,  1.14it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  75%|███████▌  | 15/20 [00:15&lt;00:04,  1.12it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  75%|███████▌  | 15/20 [00:15&lt;00:04,  1.13it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  80%|████████  | 16/20 [00:15&lt;00:02,  1.52it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  80%|████████  | 16/20 [00:15&lt;00:02,  1.54it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  85%|████████▌ | 17/20 [00:16&lt;00:02,  1.26it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  85%|████████▌ | 17/20 [00:16&lt;00:02,  1.27it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  90%|█████████ | 18/20 [00:18&lt;00:01,  1.05it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  90%|█████████ | 18/20 [00:17&lt;00:01,  1.07it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  95%|█████████▌| 19/20 [00:19&lt;00:01,  1.07s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  95%|█████████▌| 19/20 [00:19&lt;00:01,  1.05s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:20&lt;00:00,  1.04it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:19&lt;00:00,  1.08it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:20&lt;00:00,  1.01s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:19&lt;00:00,  1.01it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:30 (INFO): energy_mae: 1972.5631, energy_mse: 16652292.7483, energy_within_threshold: 0.0000, loss: 1073.7326, epoch: 1.0000
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:16 (INFO): energy_mae: 1882.2330, energy_mse: 14791680.9097, energy_within_threshold: 0.0000, loss: 1024.5628, epoch: 1.0000
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -3369,7 +3367,7 @@ <h4>Load the best checkpoint<a class="headerlink" href="#id7" title="Link to thi
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;./checkpoints/2024-04-16-23-15-12-IS2RE-example/best_checkpoint.pt&#39;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;./checkpoints/2024-04-17-16-46-56-IS2RE-example/best_checkpoint.pt&#39;
 </pre></div>
 </div>
 </div>
@@ -3425,19 +3423,19 @@ <h4>Load the best checkpoint<a class="headerlink" href="#id7" title="Link to thi
 <div class="cell_output docutils container">
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
-2024-04-16 23:18:30 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+2024-04-17 16:50:16 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:30 (INFO): amp: true
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:16 (INFO): amp: true
 cmd:
-  checkpoint_dir: ./checkpoints/2024-04-16-23-19-28-IS2RE-val-example
-  commit: 46df531
+  checkpoint_dir: ./checkpoints/2024-04-17-16-51-12-IS2RE-val-example
+  commit: 3edcf80
   identifier: IS2RE-val-example
-  logs_dir: ./logs/tensorboard/2024-04-16-23-19-28-IS2RE-val-example
+  logs_dir: ./logs/tensorboard/2024-04-17-16-51-12-IS2RE-val-example
   print_every: 5
-  results_dir: ./results/2024-04-16-23-19-28-IS2RE-val-example
+  results_dir: ./results/2024-04-17-16-51-12-IS2RE-val-example
   seed: 0
-  timestamp_id: 2024-04-16-23-19-28-IS2RE-val-example
+  timestamp_id: 2024-04-17-16-51-12-IS2RE-val-example
 dataset:
   format: single_point_lmdb
   key_mapping:
@@ -3557,49 +3555,49 @@ <h4>Load the best checkpoint<a class="headerlink" href="#id7" title="Link to thi
   src: data/is2re/val_20/data.lmdb
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:30 (INFO): Loading dataset: single_point_lmdb
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:16 (INFO): Loading dataset: single_point_lmdb
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:30 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:16 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:30 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:16 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:30 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:16 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:30 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:16 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:30 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:16 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:30 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:16 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:30 (INFO): Loading model: gemnet_t
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:16 (INFO): Loading model: gemnet_t
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (WARNING): Scale factor OutBlock_0_had not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (WARNING): Scale factor OutBlock_0_had not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (WARNING): Scale factor OutBlock_1_had not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (WARNING): Scale factor OutBlock_1_had not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (WARNING): Scale factor OutBlock_2_had not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (WARNING): Scale factor OutBlock_2_had not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (WARNING): Scale factor OutBlock_3_had not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (WARNING): Scale factor OutBlock_3_had not found in model
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (INFO): Loaded GemNetT with 22774037 parameters.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (INFO): Loaded GemNetT with 22774037 parameters.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (WARNING): Model gradient logging to tensorboard not yet supported.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (WARNING): Model gradient logging to tensorboard not yet supported.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (INFO): Loading checkpoint from: ./checkpoints/2024-04-16-23-15-12-IS2RE-example/best_checkpoint.pt
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (INFO): Loading checkpoint from: ./checkpoints/2024-04-17-16-46-56-IS2RE-example/best_checkpoint.pt
 </pre></div>
 </div>
 </div>
@@ -3615,31 +3613,31 @@ <h4>Test the model<a class="headerlink" href="#test-the-model" title="Link to th
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (WARNING): Scale factor OutBlock_4_sum (out_blocks.4.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (WARNING): Scale factor OutBlock_4_sum (out_blocks.4.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (WARNING): Scale factor OutBlock_5_sum (out_blocks.5.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (WARNING): Scale factor OutBlock_5_sum (out_blocks.5.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (WARNING): Scale factor TripInteraction_4_had_rbf (int_blocks.3.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (WARNING): Scale factor TripInteraction_4_had_rbf (int_blocks.3.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (WARNING): Scale factor TripInteraction_4_sum_cbf (int_blocks.3.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (WARNING): Scale factor TripInteraction_4_sum_cbf (int_blocks.3.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (WARNING): Scale factor AtomUpdate_4_sum (int_blocks.3.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (WARNING): Scale factor AtomUpdate_4_sum (int_blocks.3.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (WARNING): Scale factor TripInteraction_5_had_rbf (int_blocks.4.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (WARNING): Scale factor TripInteraction_5_had_rbf (int_blocks.4.trip_interaction.scale_rbf) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (WARNING): Scale factor TripInteraction_5_sum_cbf (int_blocks.4.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (WARNING): Scale factor TripInteraction_5_sum_cbf (int_blocks.4.trip_interaction.scale_cbf_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (WARNING): Scale factor AtomUpdate_5_sum (int_blocks.4.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (WARNING): Scale factor AtomUpdate_5_sum (int_blocks.4.atom_update.scale_sum) is not fitted. Please make sure that you either (1) load a checkpoint with fitted scale factors, (2) explicitly load scale factors using the `model.scale_file` attribute, or (3) fit the scale factors using the `fit.py` script.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:31 (INFO): Predicting on test.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:17 (INFO): Predicting on test.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/20 [00:00&lt;?, ?it/s]
@@ -3657,70 +3655,70 @@ <h4>Test the model<a class="headerlink" href="#test-the-model" title="Link to th
   warnings.warn(
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   5%|▌         | 1/20 [00:00&lt;00:06,  2.93it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   5%|▌         | 1/20 [00:00&lt;00:06,  3.13it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  10%|█         | 2/20 [00:00&lt;00:05,  3.51it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  10%|█         | 2/20 [00:00&lt;00:04,  3.90it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  15%|█▌        | 3/20 [00:00&lt;00:04,  4.07it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  15%|█▌        | 3/20 [00:00&lt;00:04,  4.08it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  20%|██        | 4/20 [00:00&lt;00:03,  4.29it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  20%|██        | 4/20 [00:00&lt;00:03,  4.36it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  25%|██▌       | 5/20 [00:01&lt;00:03,  4.39it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  25%|██▌       | 5/20 [00:01&lt;00:03,  4.32it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  30%|███       | 6/20 [00:01&lt;00:03,  4.34it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  30%|███       | 6/20 [00:01&lt;00:03,  4.42it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  35%|███▌      | 7/20 [00:01&lt;00:02,  4.34it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  35%|███▌      | 7/20 [00:01&lt;00:02,  4.59it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  40%|████      | 8/20 [00:01&lt;00:02,  4.50it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  40%|████      | 8/20 [00:01&lt;00:02,  4.66it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  45%|████▌     | 9/20 [00:02&lt;00:02,  4.62it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  45%|████▌     | 9/20 [00:02&lt;00:02,  4.78it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 10/20 [00:02&lt;00:02,  4.72it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 10/20 [00:02&lt;00:02,  4.80it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  55%|█████▌    | 11/20 [00:02&lt;00:01,  4.74it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  55%|█████▌    | 11/20 [00:02&lt;00:01,  4.88it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  60%|██████    | 12/20 [00:02&lt;00:01,  4.60it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  60%|██████    | 12/20 [00:02&lt;00:01,  4.95it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  65%|██████▌   | 13/20 [00:02&lt;00:01,  4.72it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  65%|██████▌   | 13/20 [00:02&lt;00:01,  5.01it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  70%|███████   | 14/20 [00:03&lt;00:01,  4.83it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  70%|███████   | 14/20 [00:03&lt;00:01,  5.05it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  75%|███████▌  | 15/20 [00:03&lt;00:01,  4.89it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  75%|███████▌  | 15/20 [00:03&lt;00:00,  5.05it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  80%|████████  | 16/20 [00:03&lt;00:00,  4.93it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  80%|████████  | 16/20 [00:03&lt;00:00,  4.81it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  85%|████████▌ | 17/20 [00:03&lt;00:00,  4.75it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  85%|████████▌ | 17/20 [00:03&lt;00:00,  4.92it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  90%|█████████ | 18/20 [00:03&lt;00:00,  4.84it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  90%|█████████ | 18/20 [00:03&lt;00:00,  4.98it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  95%|█████████▌| 19/20 [00:04&lt;00:00,  4.88it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  95%|█████████▌| 19/20 [00:04&lt;00:00,  4.90it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.92it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.97it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.49it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 20/20 [00:04&lt;00:00,  4.62it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:36 (INFO): Writing results to ./results/2024-04-16-23-19-28-IS2RE-val-example/is2re_is2re_results.npz
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:22 (INFO): Writing results to ./results/2024-04-17-16-51-12-IS2RE-val-example/is2re_is2re_results.npz
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -3801,7 +3799,7 @@ <h3>Download pretrained checkpoint<a class="headerlink" href="#download-pretrain
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:36 (INFO): Checking local cache: /tmp/ocp_checkpoints/ for model GemNet-dT All
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:22 (INFO): Checking local cache: /tmp/ocp_checkpoints/ for model GemNet-dT All
 </pre></div>
 </div>
 </div>
@@ -3937,19 +3935,19 @@ <h3>Create the trainer<a class="headerlink" href="#id11" title="Link to this hea
 <div class="cell_output docutils container">
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
-2024-04-16 23:18:37 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+2024-04-17 16:50:26 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:37 (INFO): amp: true
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:26 (INFO): amp: true
 cmd:
-  checkpoint_dir: ./checkpoints/2024-04-16-23-19-28-is2rs-example
-  commit: 46df531
+  checkpoint_dir: ./checkpoints/2024-04-17-16-51-12-is2rs-example
+  commit: 3edcf80
   identifier: is2rs-example
-  logs_dir: ./logs/tensorboard/2024-04-16-23-19-28-is2rs-example
+  logs_dir: ./logs/tensorboard/2024-04-17-16-51-12-is2rs-example
   print_every: 5
-  results_dir: ./results/2024-04-16-23-19-28-is2rs-example
+  results_dir: ./results/2024-04-17-16-51-12-is2rs-example
   seed: 0
-  timestamp_id: 2024-04-16-23-19-28-is2rs-example
+  timestamp_id: 2024-04-17-16-51-12-is2rs-example
 dataset:
   format: lmdb
   key_mapping:
@@ -3970,7 +3968,6 @@ <h3>Create the trainer<a class="headerlink" href="#id11" title="Link to this hea
     - magnitude_error
     misc:
     - energy_forces_within_threshold
-  primary_metric: forces_mae
 gpus: 0
 logger: tensorboard
 loss_fns:
@@ -4062,34 +4059,34 @@ <h3>Create the trainer<a class="headerlink" href="#id11" title="Link to this hea
   src: data/s2ef/val_20
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:37 (INFO): Loading dataset: lmdb
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:26 (INFO): Loading dataset: lmdb
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:37 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:26 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:37 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:26 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:37 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:26 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:37 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:26 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:37 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:26 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:37 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:26 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:37 (INFO): Loading model: gemnet_t
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:26 (INFO): Loading model: gemnet_t
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:39 (INFO): Loaded GemNetT with 31671825 parameters.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:27 (INFO): Loaded GemNetT with 31671825 parameters.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:39 (WARNING): Model gradient logging to tensorboard not yet supported.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:27 (WARNING): Model gradient logging to tensorboard not yet supported.
 </pre></div>
 </div>
 </div>
@@ -4104,7 +4101,7 @@ <h3>Load the best checkpoint<a class="headerlink" href="#id12" title="Link to th
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:39 (INFO): Loading checkpoint from: /tmp/ocp_checkpoints/gemnet_t_direct_h512_all.pt
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:28 (INFO): Loading checkpoint from: /tmp/ocp_checkpoints/gemnet_t_direct_h512_all.pt
 </pre></div>
 </div>
 </div>
@@ -4120,7 +4117,7 @@ <h3>Run relaxations<a class="headerlink" href="#run-relaxations" title="Link to
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:39 (INFO): Running ML-relaxations
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:28 (INFO): Running ML-relaxations
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/20 [00:00&lt;?, ?it/s]
@@ -4134,626 +4131,626 @@ <h3>Run relaxations<a class="headerlink" href="#run-relaxations" title="Link to
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:39 (INFO): Step   Fmax(eV/A)
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:28 (INFO): Step   Fmax(eV/A)
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/amp/autocast_mode.py:250: UserWarning: User provided device_type of &#39;cuda&#39;, but CUDA is not available. Disabling
   warnings.warn(
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:40 (INFO): 0 2.630
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:29 (INFO): 0 2.630
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:41 (INFO): 1 2.094
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:30 (INFO): 1 2.094
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:42 (INFO): 2 1.509
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:31 (INFO): 2 1.509
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:43 (INFO): 3 1.128
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:32 (INFO): 3 1.128
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:44 (INFO): 4 1.405
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:33 (INFO): 4 1.405
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:45 (INFO): 5 1.649
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:34 (INFO): 5 1.649
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:47 (INFO): 6 1.798
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:35 (INFO): 6 1.798
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:48 (INFO): 7 1.882
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:36 (INFO): 7 1.882
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:49 (INFO): 8 1.930
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:37 (INFO): 8 1.930
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:50 (INFO): 9 1.935
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:39 (INFO): 9 1.935
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:51 (INFO): 10 1.884
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:40 (INFO): 10 1.884
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:52 (INFO): 11 1.773
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:41 (INFO): 11 1.773
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:53 (INFO): 12 1.602
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:42 (INFO): 12 1.602
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:54 (INFO): 13 1.378
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:43 (INFO): 13 1.378
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:55 (INFO): 14 1.120
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:44 (INFO): 14 1.120
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:56 (INFO): 15 0.928
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:45 (INFO): 15 0.928
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:57 (INFO): 16 0.874
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:46 (INFO): 16 0.874
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:58 (INFO): 17 0.880
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:47 (INFO): 17 0.880
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:18:59 (INFO): 18 0.846
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:48 (INFO): 18 0.846
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:00 (INFO): 19 0.758
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:49 (INFO): 19 0.758
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:01 (INFO): 20 0.751
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:50 (INFO): 20 0.751
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:03 (INFO): 21 0.862
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:51 (INFO): 21 0.862
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:04 (INFO): 22 0.893
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:52 (INFO): 22 0.893
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:05 (INFO): 23 0.920
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:53 (INFO): 23 0.920
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:06 (INFO): 24 0.930
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:54 (INFO): 24 0.930
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:07 (INFO): 25 0.718
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:55 (INFO): 25 0.718
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:08 (INFO): 26 0.369
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:56 (INFO): 26 0.369
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:09 (INFO): 27 0.341
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:57 (INFO): 27 0.341
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:10 (INFO): 28 0.418
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:58 (INFO): 28 0.418
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:11 (INFO): 29 0.447
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:50:59 (INFO): 29 0.447
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:12 (INFO): 30 0.509
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:00 (INFO): 30 0.509
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:13 (INFO): 31 0.516
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:01 (INFO): 31 0.516
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:14 (INFO): 32 0.480
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:02 (INFO): 32 0.480
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:15 (INFO): 33 0.417
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:03 (INFO): 33 0.417
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:16 (INFO): 34 0.387
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:04 (INFO): 34 0.387
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:17 (INFO): 35 0.370
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:05 (INFO): 35 0.370
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:18 (INFO): 36 0.340
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:06 (INFO): 36 0.340
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:19 (INFO): 37 0.300
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:07 (INFO): 37 0.300
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:20 (INFO): 38 0.310
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:08 (INFO): 38 0.310
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:21 (INFO): 39 0.313
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:09 (INFO): 39 0.313
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:22 (INFO): 40 0.306
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:10 (INFO): 40 0.306
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:23 (INFO): 41 0.343
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:11 (INFO): 41 0.343
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:24 (INFO): 42 0.390
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:12 (INFO): 42 0.390
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:25 (INFO): 43 0.431
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:14 (INFO): 43 0.431
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:26 (INFO): 44 0.464
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:15 (INFO): 44 0.464
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:27 (INFO): 45 0.486
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:16 (INFO): 45 0.486
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:28 (INFO): 46 0.498
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:17 (INFO): 46 0.498
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:30 (INFO): 47 0.497
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:18 (INFO): 47 0.497
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:31 (INFO): 48 0.480
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:19 (INFO): 48 0.480
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:32 (INFO): 49 0.440
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:20 (INFO): 49 0.440
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:33 (INFO): 50 0.363
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:21 (INFO): 50 0.363
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:34 (INFO): 51 0.239
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:22 (INFO): 51 0.239
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:35 (INFO): 52 0.255
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:23 (INFO): 52 0.255
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:36 (INFO): 53 0.257
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:24 (INFO): 53 0.257
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:37 (INFO): 54 0.258
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:25 (INFO): 54 0.258
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:38 (INFO): 55 0.319
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:26 (INFO): 55 0.319
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:39 (INFO): 56 0.327
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:27 (INFO): 56 0.327
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:40 (INFO): 57 0.308
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:28 (INFO): 57 0.308
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:41 (INFO): 58 0.276
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:29 (INFO): 58 0.276
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:42 (INFO): 59 0.235
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:30 (INFO): 59 0.235
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:43 (INFO): 60 0.188
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:31 (INFO): 60 0.188
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:44 (INFO): 61 0.177
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:32 (INFO): 61 0.177
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:45 (INFO): 62 0.181
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:33 (INFO): 62 0.181
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:46 (INFO): 63 0.184
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:34 (INFO): 63 0.184
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:47 (INFO): 64 0.178
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:35 (INFO): 64 0.178
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:48 (INFO): 65 0.185
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:36 (INFO): 65 0.185
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:49 (INFO): 66 0.234
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:37 (INFO): 66 0.234
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:50 (INFO): 67 0.269
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:38 (INFO): 67 0.269
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:51 (INFO): 68 0.277
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:39 (INFO): 68 0.277
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:52 (INFO): 69 0.260
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:40 (INFO): 69 0.260
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:53 (INFO): 70 0.315
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:41 (INFO): 70 0.315
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:54 (INFO): 71 0.357
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:42 (INFO): 71 0.357
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:55 (INFO): 72 0.285
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:43 (INFO): 72 0.285
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:56 (INFO): 73 0.190
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:44 (INFO): 73 0.190
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:57 (INFO): 74 0.196
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:45 (INFO): 74 0.196
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:58 (INFO): 75 0.238
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:46 (INFO): 75 0.238
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:19:59 (INFO): 76 0.275
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:47 (INFO): 76 0.275
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:00 (INFO): 77 0.218
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:48 (INFO): 77 0.218
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:01 (INFO): 78 0.204
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:49 (INFO): 78 0.204
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:02 (INFO): 79 0.161
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:50 (INFO): 79 0.161
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:04 (INFO): 80 0.122
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:51 (INFO): 80 0.122
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:05 (INFO): 81 0.132
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:52 (INFO): 81 0.132
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:06 (INFO): 82 0.108
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:53 (INFO): 82 0.108
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:07 (INFO): 83 0.103
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:54 (INFO): 83 0.103
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:08 (INFO): 84 0.122
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:55 (INFO): 84 0.122
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:09 (INFO): 85 0.139
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:56 (INFO): 85 0.139
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:10 (INFO): 86 0.113
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:57 (INFO): 86 0.113
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:11 (INFO): 87 0.081
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:58 (INFO): 87 0.081
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:12 (INFO): 88 0.104
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:51:59 (INFO): 88 0.104
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:13 (INFO): 89 0.144
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:00 (INFO): 89 0.144
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:14 (INFO): 90 0.166
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:01 (INFO): 90 0.166
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:15 (INFO): 91 0.159
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:02 (INFO): 91 0.159
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:16 (INFO): 92 0.124
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:03 (INFO): 92 0.124
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:17 (INFO): 93 0.112
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:04 (INFO): 93 0.112
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:18 (INFO): 94 0.181
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:05 (INFO): 94 0.181
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:19 (INFO): 95 0.215
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:06 (INFO): 95 0.215
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:20 (INFO): 96 0.239
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:07 (INFO): 96 0.239
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:21 (INFO): 97 0.186
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:08 (INFO): 97 0.186
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:22 (INFO): 98 0.121
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:09 (INFO): 98 0.121
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:23 (INFO): 99 0.065
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:10 (INFO): 99 0.065
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:24 (INFO): 100 0.056
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:11 (INFO): 100 0.056
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:25 (INFO): 101 0.086
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:12 (INFO): 101 0.086
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:26 (INFO): 102 0.130
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:13 (INFO): 102 0.130
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:27 (INFO): 103 0.150
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:14 (INFO): 103 0.150
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:28 (INFO): 104 0.153
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:15 (INFO): 104 0.153
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:29 (INFO): 105 0.144
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:16 (INFO): 105 0.144
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:30 (INFO): 106 0.126
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:17 (INFO): 106 0.126
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:31 (INFO): 107 0.101
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:18 (INFO): 107 0.101
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:32 (INFO): 108 0.072
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:19 (INFO): 108 0.072
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:33 (INFO): 109 0.046
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:20 (INFO): 109 0.046
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:34 (INFO): 110 0.048
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:22 (INFO): 110 0.048
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:35 (INFO): 111 0.047
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:23 (INFO): 111 0.047
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:36 (INFO): 112 0.077
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:24 (INFO): 112 0.077
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:37 (INFO): 113 0.095
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:25 (INFO): 113 0.095
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:38 (INFO): 114 0.082
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:26 (INFO): 114 0.082
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:39 (INFO): 115 0.052
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:27 (INFO): 115 0.052
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:40 (INFO): 116 0.034
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:28 (INFO): 116 0.034
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:41 (INFO): 117 0.034
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:29 (INFO): 117 0.034
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:42 (INFO): 118 0.028
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:30 (INFO): 118 0.028
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:43 (INFO): 119 0.039
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:31 (INFO): 119 0.039
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:44 (INFO): 120 0.041
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:32 (INFO): 120 0.041
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:45 (INFO): 121 0.031
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:33 (INFO): 121 0.031
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:46 (INFO): 122 0.029
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:34 (INFO): 122 0.029
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:47 (INFO): 123 0.043
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:35 (INFO): 123 0.043
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:48 (INFO): 124 0.045
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:36 (INFO): 124 0.045
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:49 (INFO): 125 0.047
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:37 (INFO): 125 0.047
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:50 (INFO): 126 0.041
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:38 (INFO): 126 0.041
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:51 (INFO): 127 0.043
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:39 (INFO): 127 0.043
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:52 (INFO): 128 0.050
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:40 (INFO): 128 0.050
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:53 (INFO): 129 0.057
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:41 (INFO): 129 0.057
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:54 (INFO): 130 0.062
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:42 (INFO): 130 0.062
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:55 (INFO): 131 0.055
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:43 (INFO): 131 0.055
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:57 (INFO): 132 0.045
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:44 (INFO): 132 0.045
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:58 (INFO): 133 0.034
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:45 (INFO): 133 0.034
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:20:59 (INFO): 134 0.035
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:46 (INFO): 134 0.035
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:00 (INFO): 135 0.027
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:47 (INFO): 135 0.027
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:01 (INFO): 136 0.024
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:48 (INFO): 136 0.024
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:02 (INFO): 137 0.024
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:49 (INFO): 137 0.024
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:03 (INFO): 138 0.028
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:50 (INFO): 138 0.028
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:04 (INFO): 139 0.030
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:51 (INFO): 139 0.030
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:05 (INFO): 140 0.024
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:52 (INFO): 140 0.024
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:06 (INFO): 141 0.021
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:53 (INFO): 141 0.021
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:07 (INFO): 142 0.020
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:54 (INFO): 142 0.020
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:08 (INFO): 143 0.022
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:55 (INFO): 143 0.022
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:09 (INFO): 144 0.025
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:56 (INFO): 144 0.025
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:10 (INFO): 145 0.034
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:57 (INFO): 145 0.034
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:11 (INFO): 146 0.038
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:58 (INFO): 146 0.038
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:12 (INFO): 147 0.030
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:52:59 (INFO): 147 0.030
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:13 (INFO): 148 0.016
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:00 (INFO): 148 0.016
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:14 (INFO): 149 0.015
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:01 (INFO): 149 0.015
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:15 (INFO): 150 0.033
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:02 (INFO): 150 0.033
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:16 (INFO): 151 0.029
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:03 (INFO): 151 0.029
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:17 (INFO): 152 0.014
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:04 (INFO): 152 0.014
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:18 (INFO): 153 0.015
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:05 (INFO): 153 0.015
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:19 (INFO): 154 0.022
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:06 (INFO): 154 0.022
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:20 (INFO): 155 0.015
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:07 (INFO): 155 0.015
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:21 (INFO): 156 0.022
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:08 (INFO): 156 0.022
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:22 (INFO): 157 0.031
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:09 (INFO): 157 0.031
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:23 (INFO): 158 0.029
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:10 (INFO): 158 0.029
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:24 (INFO): 159 0.014
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:11 (INFO): 159 0.014
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:25 (INFO): 160 0.009
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:12 (INFO): 160 0.009
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:26 (INFO): 161 0.014
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:13 (INFO): 161 0.014
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:27 (INFO): 162 0.013
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:14 (INFO): 162 0.013
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:28 (INFO): 163 0.021
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:15 (INFO): 163 0.021
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:29 (INFO): 164 0.028
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:16 (INFO): 164 0.028
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:30 (INFO): 165 0.027
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:17 (INFO): 165 0.027
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:31 (INFO): 166 0.018
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:18 (INFO): 166 0.018
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:32 (INFO): 167 0.013
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:19 (INFO): 167 0.013
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:33 (INFO): 168 0.018
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:20 (INFO): 168 0.018
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:34 (INFO): 169 0.025
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:21 (INFO): 169 0.025
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:35 (INFO): 170 0.029
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:22 (INFO): 170 0.029
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:36 (INFO): 171 0.030
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:23 (INFO): 171 0.030
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:37 (INFO): 172 0.022
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:24 (INFO): 172 0.022
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:38 (INFO): 173 0.011
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:25 (INFO): 173 0.011
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:39 (INFO): 174 0.020
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:27 (INFO): 174 0.020
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:40 (INFO): 175 0.027
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:28 (INFO): 175 0.027
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:41 (INFO): 176 0.028
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:29 (INFO): 176 0.028
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:42 (INFO): 177 0.020
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:30 (INFO): 177 0.020
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:43 (INFO): 178 0.011
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:31 (INFO): 178 0.011
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:44 (INFO): 179 0.016
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:32 (INFO): 179 0.016
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:45 (INFO): 180 0.024
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:33 (INFO): 180 0.024
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:46 (INFO): 181 0.027
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:34 (INFO): 181 0.027
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:47 (INFO): 182 0.026
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:35 (INFO): 182 0.026
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:48 (INFO): 183 0.014
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:36 (INFO): 183 0.014
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:49 (INFO): 184 0.016
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:37 (INFO): 184 0.016
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:50 (INFO): 185 0.029
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:38 (INFO): 185 0.029
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:51 (INFO): 186 0.032
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:39 (INFO): 186 0.032
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:52 (INFO): 187 0.025
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:40 (INFO): 187 0.025
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:53 (INFO): 188 0.011
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:41 (INFO): 188 0.011
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:54 (INFO): 189 0.007
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:42 (INFO): 189 0.007
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:55 (INFO): 190 0.014
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:43 (INFO): 190 0.014
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:56 (INFO): 191 0.014
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:44 (INFO): 191 0.014
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:58 (INFO): 192 0.008
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:45 (INFO): 192 0.008
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:21:59 (INFO): 193 0.005
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:46 (INFO): 193 0.005
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:00 (INFO): 194 0.023
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:47 (INFO): 194 0.023
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:01 (INFO): 195 0.025
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:48 (INFO): 195 0.025
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:02 (INFO): 196 0.012
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:49 (INFO): 196 0.012
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:03 (INFO): 197 0.008
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:50 (INFO): 197 0.008
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:04 (INFO): 198 0.015
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:51 (INFO): 198 0.015
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:05 (INFO): 199 0.015
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:52 (INFO): 199 0.015
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  5%|▌         | 1/20 [03:27&lt;1:05:33, 207.04s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  5%|▌         | 1/20 [03:25&lt;1:04:57, 205.14s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  5%|▌         | 1/20 [03:27&lt;1:05:34, 207.09s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  5%|▌         | 1/20 [03:25&lt;1:04:58, 205.17s/it]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:06 (INFO): Writing results to ./results/2024-04-16-23-19-28-is2rs-example/relaxed_positions.npz
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:53 (INFO): Writing results to ./results/2024-04-17-16-51-12-is2rs-example/relaxed_positions.npz
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:06 (INFO): {&#39;positions_average_distance_within_threshold&#39;: {&#39;total&#39;: 267, &#39;numel&#39;: 490, &#39;metric&#39;: 0.5448979591836735}, &#39;positions_mae&#39;: {&#39;total&#39;: 22.889694213867188, &#39;numel&#39;: 60, &#39;metric&#39;: 0.38149490356445315}, &#39;positions_mse&#39;: {&#39;total&#39;: 132.93234252929688, &#39;numel&#39;: 60, &#39;metric&#39;: 2.215539042154948}}
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:53 (INFO): {&#39;positions_average_distance_within_threshold&#39;: {&#39;total&#39;: 267, &#39;numel&#39;: 490, &#39;metric&#39;: 0.5448979591836735}, &#39;positions_mae&#39;: {&#39;total&#39;: 22.889694213867188, &#39;numel&#39;: 60, &#39;metric&#39;: 0.38149490356445315}, &#39;positions_mse&#39;: {&#39;total&#39;: 132.93234252929688, &#39;numel&#39;: 60, &#39;metric&#39;: 2.215539042154948}}
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:06 (INFO): {&#39;energy_mae&#39;: {&#39;total&#39;: 0.5286474227905273, &#39;numel&#39;: 1, &#39;metric&#39;: 0.5286474227905273}, &#39;energy_mse&#39;: {&#39;total&#39;: 0.2794680893421173, &#39;numel&#39;: 1, &#39;metric&#39;: 0.2794680893421173}, &#39;energy_within_threshold&#39;: {&#39;total&#39;: 0, &#39;numel&#39;: 1, &#39;metric&#39;: 0.0}}
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:53 (INFO): {&#39;energy_mae&#39;: {&#39;total&#39;: 0.5286474227905273, &#39;numel&#39;: 1, &#39;metric&#39;: 0.5286474227905273}, &#39;energy_mse&#39;: {&#39;total&#39;: 0.2794680893421173, &#39;numel&#39;: 1, &#39;metric&#39;: 0.2794680893421173}, &#39;energy_within_threshold&#39;: {&#39;total&#39;: 0, &#39;numel&#39;: 1, &#39;metric&#39;: 0.0}}
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -5114,19 +5111,19 @@ <h2>Training the model<a class="headerlink" href="#training-the-model" title="Li
 <div class="cell_output docutils container">
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
-2024-04-16 23:22:08 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+2024-04-17 16:53:55 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:08 (INFO): amp: true
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:55 (INFO): amp: true
 cmd:
-  checkpoint_dir: ./checkpoints/2024-04-16-23-21-36-S2EF-simple
-  commit: 46df531
+  checkpoint_dir: ./checkpoints/2024-04-17-16-53-20-S2EF-simple
+  commit: 3edcf80
   identifier: S2EF-simple
-  logs_dir: ./logs/tensorboard/2024-04-16-23-21-36-S2EF-simple
+  logs_dir: ./logs/tensorboard/2024-04-17-16-53-20-S2EF-simple
   print_every: 5
-  results_dir: ./results/2024-04-16-23-21-36-S2EF-simple
+  results_dir: ./results/2024-04-17-16-53-20-S2EF-simple
   seed: 0
-  timestamp_id: 2024-04-16-23-21-36-S2EF-simple
+  timestamp_id: 2024-04-17-16-53-20-S2EF-simple
 dataset:
   format: trajectory_lmdb
   grad_target_mean: 0.0
@@ -5159,7 +5156,6 @@ <h2>Training the model<a class="headerlink" href="#training-the-model" title="Li
     - magnitude_error
     misc:
     - energy_forces_within_threshold
-  primary_metric: forces_mae
 gpus: 0
 logger: tensorboard
 loss_fns:
@@ -5210,30 +5206,30 @@ <h2>Training the model<a class="headerlink" href="#training-the-model" title="Li
   src: data/s2ef/val_20
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:08 (INFO): Loading dataset: trajectory_lmdb
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:55 (INFO): Loading dataset: trajectory_lmdb
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:08 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:55 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:08 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:55 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:08 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:55 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:08 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:55 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:08 (INFO): Loading model: simple
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:55 (INFO): Loading model: simple
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:08 (INFO): Loaded SimpleAtomEdgeModel with 185602 parameters.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:55 (INFO): Loaded SimpleAtomEdgeModel with 185602 parameters.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/utils/data/dataloader.py:558: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
   warnings.warn(_create_warning_msg(
-2024-04-16 23:22:08 (WARNING): Model gradient logging to tensorboard not yet supported.
+2024-04-17 16:53:55 (WARNING): Model gradient logging to tensorboard not yet supported.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
@@ -5268,10 +5264,10 @@ <h2>Training the model<a class="headerlink" href="#training-the-model" title="Li
   warnings.warn(
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:11 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.87e+02, forcesx_mae: 3.03e-01, forcesy_mae: 4.22e-01, forcesz_mae: 1.41e+00, forces_mae: 7.13e-01, forces_cosine_similarity: 3.98e-02, forces_magnitude_error: 1.36e+00, loss: 1.90e+02, lr: 1.00e-04, epoch: 7.14e-01, step: 5.00e+00
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:58 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.87e+02, forcesx_mae: 3.03e-01, forcesy_mae: 4.22e-01, forcesz_mae: 1.41e+00, forces_mae: 7.13e-01, forces_cosine_similarity: 3.98e-02, forces_magnitude_error: 1.36e+00, loss: 1.90e+02, lr: 1.00e-04, epoch: 7.14e-01, step: 5.00e+00
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:12 (INFO): Evaluating on val.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:53:59 (INFO): Evaluating on val.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
@@ -5289,13 +5285,13 @@ <h2>Training the model<a class="headerlink" href="#training-the-model" title="Li
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  8.06it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00, 13.15it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  6.50it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  7.43it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:13 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 181.3459, forcesx_mae: 0.2960, forcesy_mae: 0.2326, forcesz_mae: 0.8845, forces_mae: 0.4710, forces_cosine_similarity: -0.0539, forces_magnitude_error: 0.7951, loss: 98.3021, epoch: 1.0000
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:00 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 181.3459, forcesx_mae: 0.2960, forcesy_mae: 0.2326, forcesz_mae: 0.8845, forces_mae: 0.4710, forces_cosine_similarity: -0.0539, forces_magnitude_error: 0.7951, loss: 98.3021, epoch: 1.0000
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -5329,10 +5325,10 @@ <h2>Training the model<a class="headerlink" href="#training-the-model" title="Li
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:16 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.87e+02, forcesx_mae: 2.43e-01, forcesy_mae: 4.10e-01, forcesz_mae: 1.07e+00, forces_mae: 5.76e-01, forces_cosine_similarity: -2.68e-02, forces_magnitude_error: 1.04e+00, loss: 1.38e+02, lr: 1.00e-04, epoch: 1.43e+00, step: 1.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:03 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.87e+02, forcesx_mae: 2.43e-01, forcesy_mae: 4.10e-01, forcesz_mae: 1.07e+00, forces_mae: 5.76e-01, forces_cosine_similarity: -2.68e-02, forces_magnitude_error: 1.04e+00, loss: 1.38e+02, lr: 1.00e-04, epoch: 1.43e+00, step: 1.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:17 (INFO): Evaluating on val.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:04 (INFO): Evaluating on val.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
@@ -5350,13 +5346,13 @@ <h2>Training the model<a class="headerlink" href="#training-the-model" title="Li
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  8.29it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  8.62it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  6.01it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  6.88it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:18 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 181.0137, forcesx_mae: 0.3346, forcesy_mae: 0.2852, forcesz_mae: 0.9165, forces_mae: 0.5121, forces_cosine_similarity: -0.0387, forces_magnitude_error: 0.8785, loss: 100.9322, epoch: 2.0000
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:05 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 181.0137, forcesx_mae: 0.3346, forcesy_mae: 0.2852, forcesz_mae: 0.9165, forces_mae: 0.5121, forces_cosine_similarity: -0.0387, forces_magnitude_error: 0.8785, loss: 100.9322, epoch: 2.0000
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -5390,20 +5386,20 @@ <h2>Training the model<a class="headerlink" href="#training-the-model" title="Li
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:20 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.48e+02, forcesx_mae: 2.45e-01, forcesy_mae: 3.78e-01, forcesz_mae: 8.57e-01, forces_mae: 4.93e-01, forces_cosine_similarity: -9.92e-03, forces_magnitude_error: 8.38e-01, loss: 8.18e+01, lr: 1.00e-04, epoch: 2.14e+00, step: 1.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:07 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.48e+02, forcesx_mae: 2.45e-01, forcesy_mae: 3.78e-01, forcesz_mae: 8.57e-01, forces_mae: 4.93e-01, forces_cosine_similarity: -9.92e-03, forces_magnitude_error: 8.38e-01, loss: 8.18e+01, lr: 1.00e-04, epoch: 2.14e+00, step: 1.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:22 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 8.83e+01, forcesx_mae: 2.07e-01, forcesy_mae: 2.87e-01, forcesz_mae: 7.42e-01, forces_mae: 4.12e-01, forces_cosine_similarity: 5.41e-02, forces_magnitude_error: 6.96e-01, loss: 6.17e+01, lr: 1.00e-04, epoch: 2.86e+00, step: 2.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:10 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 8.83e+01, forcesx_mae: 2.07e-01, forcesy_mae: 2.87e-01, forcesz_mae: 7.42e-01, forces_mae: 4.12e-01, forces_cosine_similarity: 5.41e-02, forces_magnitude_error: 6.96e-01, loss: 6.17e+01, lr: 1.00e-04, epoch: 2.86e+00, step: 2.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:23 (INFO): Evaluating on val.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:10 (INFO): Evaluating on val.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
+  storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
@@ -5414,13 +5410,13 @@ <h2>Training the model<a class="headerlink" href="#training-the-model" title="Li
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  9.68it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  9.81it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  7.11it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  6.79it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:24 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 181.1997, forcesx_mae: 0.3253, forcesy_mae: 0.2719, forcesz_mae: 0.9549, forces_mae: 0.5174, forces_cosine_similarity: -0.0524, forces_magnitude_error: 0.8993, loss: 101.7762, epoch: 3.0000
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:11 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 181.1997, forcesx_mae: 0.3253, forcesy_mae: 0.2719, forcesz_mae: 0.9549, forces_mae: 0.5174, forces_cosine_similarity: -0.0524, forces_magnitude_error: 0.8993, loss: 101.7762, epoch: 3.0000
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -5454,10 +5450,10 @@ <h2>Training the model<a class="headerlink" href="#training-the-model" title="Li
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:27 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 7.72e+01, forcesx_mae: 1.69e-01, forcesy_mae: 2.14e-01, forcesz_mae: 5.86e-01, forces_mae: 3.23e-01, forces_cosine_similarity: -5.92e-02, forces_magnitude_error: 4.86e-01, loss: 5.41e+01, lr: 1.00e-04, epoch: 3.57e+00, step: 2.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:14 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 7.72e+01, forcesx_mae: 1.69e-01, forcesy_mae: 2.14e-01, forcesz_mae: 5.86e-01, forces_mae: 3.23e-01, forces_cosine_similarity: -5.92e-02, forces_magnitude_error: 4.86e-01, loss: 5.41e+01, lr: 1.00e-04, epoch: 3.57e+00, step: 2.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:28 (INFO): Evaluating on val.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:15 (INFO): Evaluating on val.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
@@ -5475,13 +5471,13 @@ <h2>Training the model<a class="headerlink" href="#training-the-model" title="Li
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00, 10.82it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00, 12.14it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  6.56it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  6.90it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:29 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 182.4001, forcesx_mae: 0.3315, forcesy_mae: 0.2815, forcesz_mae: 0.9607, forces_mae: 0.5246, forces_cosine_similarity: -0.0449, forces_magnitude_error: 0.9166, loss: 102.7514, epoch: 4.0000
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:16 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 182.4001, forcesx_mae: 0.3315, forcesy_mae: 0.2815, forcesz_mae: 0.9607, forces_mae: 0.5246, forces_cosine_similarity: -0.0449, forces_magnitude_error: 0.9166, loss: 102.7514, epoch: 4.0000
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -5515,13 +5511,13 @@ <h2>Training the model<a class="headerlink" href="#training-the-model" title="Li
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:31 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.02e+02, forcesx_mae: 1.51e-01, forcesy_mae: 2.59e-01, forcesz_mae: 3.91e-01, forces_mae: 2.67e-01, forces_cosine_similarity: 2.43e-02, forces_magnitude_error: 4.32e-01, loss: 5.62e+01, lr: 1.00e-04, epoch: 4.29e+00, step: 3.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:19 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.02e+02, forcesx_mae: 1.51e-01, forcesy_mae: 2.59e-01, forcesz_mae: 3.91e-01, forces_mae: 2.67e-01, forces_cosine_similarity: 2.43e-02, forces_magnitude_error: 4.32e-01, loss: 5.62e+01, lr: 1.00e-04, epoch: 4.29e+00, step: 3.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:33 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 4.68e+01, forcesx_mae: 1.76e-01, forcesy_mae: 2.78e-01, forcesz_mae: 3.97e-01, forces_mae: 2.84e-01, forces_cosine_similarity: -9.27e-03, forces_magnitude_error: 4.19e-01, loss: 3.96e+01, lr: 1.00e-04, epoch: 5.00e+00, step: 3.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:21 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 4.68e+01, forcesx_mae: 1.76e-01, forcesy_mae: 2.78e-01, forcesz_mae: 3.97e-01, forces_mae: 2.84e-01, forces_cosine_similarity: -9.27e-03, forces_magnitude_error: 4.19e-01, loss: 3.96e+01, lr: 1.00e-04, epoch: 5.00e+00, step: 3.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:34 (INFO): Evaluating on val.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:21 (INFO): Evaluating on val.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
@@ -5539,16 +5535,13 @@ <h2>Training the model<a class="headerlink" href="#training-the-model" title="Li
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  9.13it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00, 15.16it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:00,  8.77it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  6.86it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:00&lt;00:00,  6.93it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:34 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 185.2267, forcesx_mae: 0.3320, forcesy_mae: 0.2803, forcesz_mae: 0.9892, forces_mae: 0.5338, forces_cosine_similarity: -0.0477, forces_magnitude_error: 0.9421, loss: 104.6033, epoch: 5.0000
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 185.2267, forcesx_mae: 0.3320, forcesy_mae: 0.2803, forcesz_mae: 0.9892, forces_mae: 0.5338, forces_cosine_similarity: -0.0477, forces_magnitude_error: 0.9421, loss: 104.6033, epoch: 5.0000
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -5623,19 +5616,19 @@ <h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#inc
 <div class="cell_output docutils container">
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
-2024-04-16 23:22:35 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+2024-04-17 16:54:22 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (INFO): amp: true
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (INFO): amp: true
 cmd:
-  checkpoint_dir: ./checkpoints/2024-04-16-23-21-36-S2EF-gemnet-t
-  commit: 46df531
+  checkpoint_dir: ./checkpoints/2024-04-17-16-53-20-S2EF-gemnet-t
+  commit: 3edcf80
   identifier: S2EF-gemnet-t
-  logs_dir: ./logs/tensorboard/2024-04-16-23-21-36-S2EF-gemnet-t
+  logs_dir: ./logs/tensorboard/2024-04-17-16-53-20-S2EF-gemnet-t
   print_every: 5
-  results_dir: ./results/2024-04-16-23-21-36-S2EF-gemnet-t
+  results_dir: ./results/2024-04-17-16-53-20-S2EF-gemnet-t
   seed: 0
-  timestamp_id: 2024-04-16-23-21-36-S2EF-gemnet-t
+  timestamp_id: 2024-04-17-16-53-20-S2EF-gemnet-t
 dataset:
   format: trajectory_lmdb
   grad_target_mean: 0.0
@@ -5668,7 +5661,6 @@ <h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#inc
     - magnitude_error
     misc:
     - energy_forces_within_threshold
-  primary_metric: forces_mae
 gpus: 0
 logger: tensorboard
 loss_fns:
@@ -5744,62 +5736,62 @@ <h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#inc
   src: data/s2ef/val_20
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (INFO): Loading dataset: trajectory_lmdb
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (INFO): Loading dataset: trajectory_lmdb
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (INFO): rank: 0: Sampler created...
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (INFO): rank: 0: Sampler created...
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (INFO): Batch balancing is disabled for single GPU training.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (INFO): Batch balancing is disabled for single GPU training.
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (INFO): Loading model: gemnet_t
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (INFO): Loading model: gemnet_t
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/utils/data/dataloader.py:558: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
   warnings.warn(_create_warning_msg(
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (WARNING): Scale factor TripInteraction_2_had_rbf not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (WARNING): Scale factor TripInteraction_2_had_rbf not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (WARNING): Scale factor TripInteraction_2_sum_cbf not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (WARNING): Scale factor TripInteraction_2_sum_cbf not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (WARNING): Scale factor AtomUpdate_2_sum not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (WARNING): Scale factor AtomUpdate_2_sum not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (WARNING): Scale factor TripInteraction_3_had_rbf not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (WARNING): Scale factor TripInteraction_3_had_rbf not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (WARNING): Scale factor TripInteraction_3_sum_cbf not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (WARNING): Scale factor TripInteraction_3_sum_cbf not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (WARNING): Scale factor AtomUpdate_3_sum not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (WARNING): Scale factor AtomUpdate_3_sum not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (WARNING): Scale factor OutBlock_2_sum not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (WARNING): Scale factor OutBlock_2_sum not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (WARNING): Scale factor OutBlock_2_had not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (WARNING): Scale factor OutBlock_2_had not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (WARNING): Scale factor OutBlock_3_sum not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (WARNING): Scale factor OutBlock_3_sum not found in model
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (WARNING): Scale factor OutBlock_3_had not found in model
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (WARNING): Scale factor OutBlock_3_had not found in model
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (INFO): Loaded GemNetT with 3360519 parameters.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (INFO): Loaded GemNetT with 3360519 parameters.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:22:35 (WARNING): Model gradient logging to tensorboard not yet supported.
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:54:22 (WARNING): Model gradient logging to tensorboard not yet supported.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
@@ -5834,10 +5826,10 @@ <h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#inc
   warnings.warn(
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:23:12 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 8.43e+01, forcesx_mae: 2.74e+00, forcesy_mae: 3.89e+00, forcesz_mae: 2.89e+00, forces_mae: 3.17e+00, forces_cosine_similarity: -3.46e-02, forces_magnitude_error: 6.00e+00, loss: 2.46e+02, lr: 1.00e-04, epoch: 7.14e-01, step: 5.00e+00
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:55:00 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 8.43e+01, forcesx_mae: 2.74e+00, forcesy_mae: 3.89e+00, forcesz_mae: 2.89e+00, forces_mae: 3.17e+00, forces_cosine_similarity: -3.46e-02, forces_magnitude_error: 6.00e+00, loss: 2.46e+02, lr: 1.00e-04, epoch: 7.14e-01, step: 5.00e+00
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:23:21 (INFO): Evaluating on val.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:55:08 (INFO): Evaluating on val.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
@@ -5855,19 +5847,19 @@ <h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#inc
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:01,  1.88it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:01,  1.89it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.45it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.34it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  3.14it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  3.15it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.23it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.21it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:23:22 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.2356, forcesx_mae: 2.2589, forcesy_mae: 1.8025, forcesz_mae: 1.9335, forces_mae: 1.9983, forces_cosine_similarity: -0.1827, forces_magnitude_error: 3.7879, loss: 143.1054, epoch: 1.0000
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:55:10 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 2.2356, forcesx_mae: 2.2589, forcesy_mae: 1.8025, forcesz_mae: 1.9335, forces_mae: 1.9983, forces_cosine_similarity: -0.1827, forces_magnitude_error: 3.7879, loss: 143.1054, epoch: 1.0000
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -5901,13 +5893,10 @@ <h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#inc
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:23:46 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 8.79e+01, forcesx_mae: 1.31e+00, forcesy_mae: 1.62e+00, forcesz_mae: 1.42e+00, forces_mae: 1.45e+00, forces_cosine_similarity: 1.16e-02, forces_magnitude_error: 2.67e+00, loss: 1.37e+02, lr: 1.00e-04, epoch: 1.43e+00, step: 1.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:55:35 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 8.79e+01, forcesx_mae: 1.31e+00, forcesy_mae: 1.62e+00, forcesz_mae: 1.42e+00, forces_mae: 1.45e+00, forces_cosine_similarity: 1.16e-02, forces_magnitude_error: 2.67e+00, loss: 1.37e+02, lr: 1.00e-04, epoch: 1.43e+00, step: 1.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:24:08 (INFO): Evaluating on val.
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:55:57 (INFO): Evaluating on val.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
@@ -5918,23 +5907,26 @@ <h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#inc
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:01,  1.85it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:01,  1.90it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.49it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.36it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  3.20it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  3.01it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.25it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.09it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:24:10 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.5906, forcesx_mae: 2.2641, forcesy_mae: 1.8005, forcesz_mae: 1.8728, forces_mae: 1.9791, forces_cosine_similarity: -0.1879, forces_magnitude_error: 3.7455, loss: 141.2371, epoch: 2.0000
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:55:59 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.5906, forcesx_mae: 2.2641, forcesy_mae: 1.8005, forcesz_mae: 1.8728, forces_mae: 1.9791, forces_cosine_similarity: -0.1879, forces_magnitude_error: 3.7455, loss: 141.2371, epoch: 2.0000
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -5968,22 +5960,22 @@ <h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#inc
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:24:19 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 7.61e+01, forcesx_mae: 9.34e-01, forcesy_mae: 1.11e+00, forcesz_mae: 1.02e+00, forces_mae: 1.02e+00, forces_cosine_similarity: 1.95e-02, forces_magnitude_error: 1.79e+00, loss: 9.68e+01, lr: 1.00e-04, epoch: 2.14e+00, step: 1.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:56:09 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 7.61e+01, forcesx_mae: 9.34e-01, forcesy_mae: 1.11e+00, forcesz_mae: 1.02e+00, forces_mae: 1.02e+00, forces_cosine_similarity: 1.95e-02, forces_magnitude_error: 1.79e+00, loss: 9.68e+01, lr: 1.00e-04, epoch: 2.14e+00, step: 1.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:24:54 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.94e+01, forcesx_mae: 6.71e-01, forcesy_mae: 7.64e-01, forcesz_mae: 7.18e-01, forces_mae: 7.18e-01, forces_cosine_similarity: 2.31e-02, forces_magnitude_error: 1.17e+00, loss: 6.32e+01, lr: 1.00e-04, epoch: 2.86e+00, step: 2.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:56:43 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 3.94e+01, forcesx_mae: 6.71e-01, forcesy_mae: 7.64e-01, forcesz_mae: 7.18e-01, forces_mae: 7.18e-01, forces_cosine_similarity: 2.31e-02, forces_magnitude_error: 1.17e+00, loss: 6.32e+01, lr: 1.00e-04, epoch: 2.86e+00, step: 2.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:24:56 (INFO): Evaluating on val.
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:56:44 (INFO): Evaluating on val.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
   storage = elem.storage()._new_shared(numel)
 </pre></div>
@@ -5992,19 +5984,19 @@ <h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#inc
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:01,  1.80it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:01,  1.88it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.21it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.49it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.88it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  3.13it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.01it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.16it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:24:58 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 3.0236, forcesx_mae: 2.2729, forcesy_mae: 1.7737, forcesz_mae: 1.8415, forces_mae: 1.9627, forces_cosine_similarity: -0.1836, forces_magnitude_error: 3.7070, loss: 140.1182, epoch: 3.0000
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:56:46 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 3.0236, forcesx_mae: 2.2729, forcesy_mae: 1.7737, forcesz_mae: 1.8415, forces_mae: 1.9627, forces_cosine_similarity: -0.1836, forces_magnitude_error: 3.7070, loss: 140.1182, epoch: 3.0000
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -6038,10 +6030,10 @@ <h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#inc
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:25:28 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 4.88e+01, forcesx_mae: 4.78e-01, forcesy_mae: 5.60e-01, forcesz_mae: 5.21e-01, forces_mae: 5.20e-01, forces_cosine_similarity: 4.65e-02, forces_magnitude_error: 8.15e-01, loss: 5.40e+01, lr: 1.00e-04, epoch: 3.57e+00, step: 2.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:57:17 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 4.88e+01, forcesx_mae: 4.78e-01, forcesy_mae: 5.60e-01, forcesz_mae: 5.21e-01, forces_mae: 5.20e-01, forces_cosine_similarity: 4.65e-02, forces_magnitude_error: 8.15e-01, loss: 5.40e+01, lr: 1.00e-04, epoch: 3.57e+00, step: 2.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:25:44 (INFO): Evaluating on val.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:57:32 (INFO): Evaluating on val.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
@@ -6059,19 +6051,19 @@ <h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#inc
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:01,  1.85it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:01,  1.96it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.25it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.47it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.93it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  3.14it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.14it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.18it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:25:45 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.6152, forcesx_mae: 2.1384, forcesy_mae: 1.6930, forcesz_mae: 1.7895, forces_mae: 1.8736, forces_cosine_similarity: -0.1818, forces_magnitude_error: 3.5234, loss: 133.0624, epoch: 4.0000
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:57:34 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.6152, forcesx_mae: 2.1384, forcesy_mae: 1.6930, forcesz_mae: 1.7895, forces_mae: 1.8736, forces_cosine_similarity: -0.1818, forces_magnitude_error: 3.5234, loss: 133.0624, epoch: 4.0000
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -6105,13 +6097,13 @@ <h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#inc
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:26:02 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.94e+01, forcesx_mae: 4.26e-01, forcesy_mae: 5.73e-01, forcesz_mae: 4.49e-01, forces_mae: 4.82e-01, forces_cosine_similarity: 3.08e-02, forces_magnitude_error: 7.53e-01, loss: 4.45e+01, lr: 1.00e-04, epoch: 4.29e+00, step: 3.00e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:57:51 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 2.94e+01, forcesx_mae: 4.26e-01, forcesy_mae: 5.73e-01, forcesz_mae: 4.49e-01, forces_mae: 4.82e-01, forces_cosine_similarity: 3.08e-02, forces_magnitude_error: 7.53e-01, loss: 4.45e+01, lr: 1.00e-04, epoch: 4.29e+00, step: 3.00e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:26:32 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.90e+01, forcesx_mae: 3.97e-01, forcesy_mae: 5.02e-01, forcesz_mae: 4.63e-01, forces_mae: 4.54e-01, forces_cosine_similarity: 9.63e-02, forces_magnitude_error: 6.46e-01, loss: 3.94e+01, lr: 1.00e-04, epoch: 5.00e+00, step: 3.50e+01
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:58:20 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 1.90e+01, forcesx_mae: 3.97e-01, forcesy_mae: 5.02e-01, forcesz_mae: 4.63e-01, forces_mae: 4.54e-01, forces_cosine_similarity: 9.63e-02, forces_magnitude_error: 6.46e-01, loss: 3.94e+01, lr: 1.00e-04, epoch: 5.00e+00, step: 3.50e+01
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:26:32 (INFO): Evaluating on val.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:58:20 (INFO): Evaluating on val.
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/3 [00:00&lt;?, ?it/s]
@@ -6129,19 +6121,19 @@ <h2>Incorporating triplets and training GemNet-T<a class="headerlink" href="#inc
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:01,  1.78it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  33%|███▎      | 1/3 [00:00&lt;00:01,  1.87it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.46it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  67%|██████▋   | 2/3 [00:00&lt;00:00,  2.55it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  3.10it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  3.23it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.22it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 3/3 [00:01&lt;00:00,  2.19it/s]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:26:34 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.9363, forcesx_mae: 2.1717, forcesy_mae: 1.7101, forcesz_mae: 1.7947, forces_mae: 1.8922, forces_cosine_similarity: -0.1857, forces_magnitude_error: 3.5687, loss: 134.6277, epoch: 5.0000
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:58:22 (INFO): energy_forces_within_threshold: 0.0000, energy_mae: 1.9363, forcesx_mae: 2.1717, forcesy_mae: 1.7101, forcesz_mae: 1.7947, forces_mae: 1.8922, forces_cosine_similarity: -0.1857, forces_magnitude_error: 3.5687, loss: 134.6277, epoch: 5.0000
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -6169,7 +6161,7 @@ <h2>Download pretrained checkpoint<a class="headerlink" href="#id14" title="Link
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:26:34 (INFO): Checking local cache: /tmp/ocp_checkpoints/ for model GemNet-dT All
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:58:23 (INFO): Checking local cache: /tmp/ocp_checkpoints/ for model GemNet-dT All
 </pre></div>
 </div>
 </div>
@@ -6213,16 +6205,19 @@ <h2>Using the OCP Calculator<a class="headerlink" href="#using-the-ocp-calculato
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:26:34 (INFO): amp: false
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:58:23 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:58:23 (INFO): amp: false
 cmd:
-  checkpoint_dir: /home/runner/work/ocp/ocp/docs/legacy_tutorials/checkpoints/2024-04-16-23-25-52
-  commit: 46df531
+  checkpoint_dir: /home/runner/work/ocp/ocp/docs/legacy_tutorials/checkpoints/2024-04-17-16-57-36
+  commit: 3edcf80
   identifier: &#39;&#39;
-  logs_dir: /home/runner/work/ocp/ocp/docs/legacy_tutorials/logs/wandb/2024-04-16-23-25-52
+  logs_dir: /home/runner/work/ocp/ocp/docs/legacy_tutorials/logs/wandb/2024-04-17-16-57-36
   print_every: 100
-  results_dir: /home/runner/work/ocp/ocp/docs/legacy_tutorials/results/2024-04-16-23-25-52
+  results_dir: /home/runner/work/ocp/ocp/docs/legacy_tutorials/results/2024-04-17-16-57-36
   seed: null
-  timestamp_id: 2024-04-16-23-25-52
+  timestamp_id: 2024-04-17-16-57-36
 dataset:
   format: trajectory_lmdb
   grad_target_mean: 0.0
@@ -6254,7 +6249,6 @@ <h2>Using the OCP Calculator<a class="headerlink" href="#using-the-ocp-calculato
     - magnitude_error
     misc:
     - energy_forces_within_threshold
-  primary_metric: forces_mae
 gpus: 0
 logger: wandb
 loss_fns:
@@ -6336,95 +6330,95 @@ <h2>Using the OCP Calculator<a class="headerlink" href="#using-the-ocp-calculato
 trainer: ocp
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:26:34 (INFO): Loading model: gemnet_t
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:58:23 (INFO): Loading model: gemnet_t
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:26:36 (INFO): Loaded GemNetT with 31671825 parameters.
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:58:25 (INFO): Loaded GemNetT with 31671825 parameters.
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-16 23:26:36 (WARNING): No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2024-04-17 16:58:25 (WARNING): No seed has been set in modelcheckpoint or OCPCalculator! Results may not be reproducible on re-run
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
-BFGS:    0 23:26:36       -4.099784        1.5675
+BFGS:    0 16:58:25       -4.099784        1.5675
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 23:26:37       -4.244461        1.1370
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 16:58:26       -4.244461        1.1370
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 23:26:38       -4.403120        0.7635
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 16:58:26       -4.403120        0.7635
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 23:26:38       -4.503652        0.8364
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 16:58:27       -4.503652        0.8364
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 23:26:39       -4.558208        0.7339
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 16:58:28       -4.558208        0.7339
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 23:26:39       -4.592069        0.4095
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 16:58:28       -4.592069        0.4095
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 23:26:40       -4.619347        0.7312
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 16:58:29       -4.619347        0.7312
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 23:26:40       -4.671473        0.9712
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 16:58:29       -4.671473        0.9712
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 23:26:41       -4.796453        0.9211
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 16:58:30       -4.796453        0.9211
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 23:26:41       -4.957974        0.9761
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 16:58:30       -4.957974        0.9761
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 23:26:42       -5.109447        1.0384
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 16:58:31       -5.109447        1.0384
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 23:26:43       -5.295602        1.2249
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 16:58:32       -5.295602        1.2249
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 23:26:43       -5.498971        1.1271
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 16:58:32       -5.498971        1.1271
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 23:26:44       -5.618084        1.0669
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 16:58:33       -5.618084        1.0669
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 23:26:44       -5.737121        0.9509
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 16:58:33       -5.737121        0.9509
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 23:26:45       -5.901947        0.9260
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 16:58:34       -5.901947        0.9260
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 23:26:45       -6.076138        1.2737
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 16:58:34       -6.076138        1.2737
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 23:26:46       -6.198372        1.2029
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 16:58:35       -6.198372        1.2029
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 23:26:47       -6.250344        0.6852
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 16:58:35       -6.250344        0.6852
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 23:26:47       -6.254098        0.2008
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 16:58:36       -6.254098        0.2008
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 23:26:48       -6.293970        0.1779
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 16:58:36       -6.293970        0.1779
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   21 23:26:48       -6.326332        0.2294
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   21 16:58:37       -6.326332        0.2294
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   22 23:26:49       -6.324463        0.1700
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   22 16:58:37       -6.324463        0.1700
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   23 23:26:49       -6.321269        0.1016
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   23 16:58:38       -6.321269        0.1016
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   24 23:26:50       -6.328320        0.0847
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   24 16:58:39       -6.328320        0.0847
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   25 23:26:50       -6.331771        0.0586
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   25 16:58:39       -6.331771        0.0586
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   26 23:26:51       -6.331944        0.0445
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   26 16:58:40       -6.331944        0.0445
 </pre></div>
 </div>
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>True
@@ -6653,10 +6647,10 @@ <h2>Structure to Energy and Forces (S2EF) LMDBs<a class="headerlink" href="#stru
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/101 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 57%|█████▋    | 58/101 [00:00&lt;00:00, 571.96it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 58%|█████▊    | 59/101 [00:00&lt;00:00, 587.40it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 101/101 [00:00&lt;00:00, 568.62it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 101/101 [00:00&lt;00:00, 609.46it/s]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
diff --git a/legacy_tutorials/data_preprocessing.html b/legacy_tutorials/data_preprocessing.html
index b0476d613..5019d17ad 100644
--- a/legacy_tutorials/data_preprocessing.html
+++ b/legacy_tutorials/data_preprocessing.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
diff --git a/legacy_tutorials/data_visualization.html b/legacy_tutorials/data_visualization.html
index 2f0430665..029c14903 100644
--- a/legacy_tutorials/data_visualization.html
+++ b/legacy_tutorials/data_visualization.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
@@ -698,307 +698,307 @@ <h2>Generating sample data<a class="headerlink" href="#generating-sample-data" t
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>       Step     Time          Energy         fmax
 *Force-consistent energies used in optimization.
-LBFGS:    0 23:27:12       15.804700*       6.7764
+LBFGS:    0 16:59:04       15.804700*       6.7764
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    1 23:27:13       12.190607*       4.3232
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    1 16:59:05       12.190607*       4.3232
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    2 23:27:13       10.240169*       2.2655
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    2 16:59:05       10.240169*       2.2655
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    3 23:27:13        9.779223*       0.9372
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    3 16:59:05        9.779223*       0.9372
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    4 23:27:13        9.671525*       0.7702
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    4 16:59:05        9.671525*       0.7702
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    5 23:27:13        9.574461*       0.6635
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    5 16:59:05        9.574461*       0.6635
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    6 23:27:13        9.537502*       0.5718
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    6 16:59:05        9.537502*       0.5718
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    7 23:27:13        9.516673*       0.4466
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    7 16:59:05        9.516673*       0.4466
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    8 23:27:13        9.481330*       0.4611
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    8 16:59:05        9.481330*       0.4611
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    9 23:27:13        9.462255*       0.2931
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:    9 16:59:05        9.462255*       0.2931
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   10 23:27:13        9.448937*       0.2490
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   10 16:59:05        9.448937*       0.2490
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   11 23:27:13        9.433813*       0.2371
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   11 16:59:05        9.433813*       0.2371
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   12 23:27:13        9.418884*       0.2602
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   12 16:59:05        9.418884*       0.2602
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   13 23:27:13        9.409649*       0.2532
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   13 16:59:05        9.409649*       0.2532
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   14 23:27:13        9.404838*       0.1624
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   14 16:59:05        9.404838*       0.1624
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   15 23:27:13        9.401753*       0.1823
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   15 16:59:05        9.401753*       0.1823
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   16 23:27:13        9.397314*       0.2592
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   16 16:59:05        9.397314*       0.2592
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   17 23:27:13        9.387947*       0.3450
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   17 16:59:05        9.387947*       0.3450
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   18 23:27:13        9.370825*       0.4070
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   18 16:59:05        9.370825*       0.4070
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   19 23:27:13        9.342222*       0.4333
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   19 16:59:05        9.342222*       0.4333
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   20 23:27:13        9.286822*       0.5002
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   20 16:59:05        9.286822*       0.5002
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   21 23:27:13        9.249910*       0.5241
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   21 16:59:05        9.249910*       0.5241
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   22 23:27:13        9.187179*       0.5120
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   22 16:59:05        9.187179*       0.5120
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   23 23:27:13        9.124811*       0.5718
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   23 16:59:05        9.124811*       0.5718
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   24 23:27:13        9.066185*       0.5409
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   24 16:59:05        9.066185*       0.5409
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   25 23:27:13        9.000116*       1.0798
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   25 16:59:05        9.000116*       1.0798
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   26 23:27:13        8.893632*       0.7528
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   26 16:59:05        8.893632*       0.7528
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   27 23:27:13        8.845939*       0.3321
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   27 16:59:06        8.845939*       0.3321
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   28 23:27:14        8.815173*       0.2512
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   28 16:59:06        8.815173*       0.2512
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   29 23:27:14        8.808721*       0.2143
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   29 16:59:06        8.808721*       0.2143
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   30 23:27:14        8.794643*       0.1546
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   30 16:59:06        8.794643*       0.1546
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   31 23:27:14        8.789162*       0.2014
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   31 16:59:06        8.789162*       0.2014
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   32 23:27:14        8.782320*       0.1755
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   32 16:59:06        8.782320*       0.1755
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   33 23:27:14        8.780394*       0.1037
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   33 16:59:06        8.780394*       0.1037
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   34 23:27:14        8.778410*       0.1076
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   34 16:59:06        8.778410*       0.1076
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   35 23:27:14        8.775079*       0.1797
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   35 16:59:06        8.775079*       0.1797
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   36 23:27:14        8.766987*       0.3334
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   36 16:59:06        8.766987*       0.3334
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   37 23:27:14        8.750249*       0.5307
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   37 16:59:06        8.750249*       0.5307
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   38 23:27:14        8.725928*       0.6851
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   38 16:59:06        8.725928*       0.6851
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   39 23:27:14        8.702312*       0.5823
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   39 16:59:06        8.702312*       0.5823
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   40 23:27:14        8.661515*       0.3996
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   40 16:59:06        8.661515*       0.3996
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   41 23:27:14        8.643432*       0.5585
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   41 16:59:06        8.643432*       0.5585
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   42 23:27:14        8.621201*       0.3673
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   42 16:59:06        8.621201*       0.3673
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   43 23:27:14        8.614414*       0.1394
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   43 16:59:06        8.614414*       0.1394
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   44 23:27:14        8.610785*       0.1372
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   44 16:59:06        8.610785*       0.1372
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   45 23:27:14        8.608134*       0.1464
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   45 16:59:06        8.608134*       0.1464
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   46 23:27:14        8.604928*       0.1196
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   46 16:59:06        8.604928*       0.1196
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   47 23:27:14        8.599151*       0.1354
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   47 16:59:06        8.599151*       0.1354
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   48 23:27:14        8.594063*       0.1479
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   48 16:59:06        8.594063*       0.1479
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   49 23:27:14        8.589493*       0.1538
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   49 16:59:06        8.589493*       0.1538
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   50 23:27:14        8.587274*       0.0885
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   50 16:59:06        8.587274*       0.0885
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   51 23:27:14        8.584633*       0.0938
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   51 16:59:06        8.584633*       0.0938
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   52 23:27:14        8.580239*       0.1409
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   52 16:59:06        8.580239*       0.1409
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   53 23:27:14        8.572938*       0.2543
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   53 16:59:06        8.572938*       0.2543
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   54 23:27:14        8.563343*       0.2919
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   54 16:59:06        8.563343*       0.2919
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   55 23:27:14        8.554117*       0.1966
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   55 16:59:06        8.554117*       0.1966
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   56 23:27:14        8.547597*       0.1291
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   56 16:59:07        8.547597*       0.1291
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   57 23:27:15        8.542086*       0.1280
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   57 16:59:07        8.542086*       0.1280
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   58 23:27:15        8.535432*       0.0982
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   58 16:59:07        8.535432*       0.0982
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   59 23:27:15        8.533622*       0.1277
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   59 16:59:07        8.533622*       0.1277
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   60 23:27:15        8.527487*       0.1167
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   60 16:59:07        8.527487*       0.1167
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   61 23:27:15        8.523863*       0.1218
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   61 16:59:07        8.523863*       0.1218
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   62 23:27:15        8.519229*       0.1305
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   62 16:59:07        8.519229*       0.1305
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   63 23:27:15        8.515424*       0.1019
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   63 16:59:07        8.515424*       0.1019
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   64 23:27:15        8.511240*       0.2122
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   64 16:59:07        8.511240*       0.2122
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   65 23:27:15        8.507967*       0.2666
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   65 16:59:07        8.507967*       0.2666
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   66 23:27:15        8.503903*       0.2377
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   66 16:59:07        8.503903*       0.2377
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   67 23:27:15        8.497575*       0.1623
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   67 16:59:07        8.497575*       0.1623
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   68 23:27:15        8.485434*       0.2022
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   68 16:59:07        8.485434*       0.2022
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   69 23:27:15        8.466738*       0.2159
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   69 16:59:07        8.466738*       0.2159
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   70 23:27:15        8.467607*       0.3348
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   70 16:59:07        8.467607*       0.3348
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   71 23:27:15        8.454037*       0.1063
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   71 16:59:07        8.454037*       0.1063
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   72 23:27:15        8.448980*       0.1197
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   72 16:59:07        8.448980*       0.1197
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   73 23:27:15        8.446550*       0.0992
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   73 16:59:07        8.446550*       0.0992
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   74 23:27:15        8.444705*       0.0562
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   74 16:59:07        8.444705*       0.0562
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   75 23:27:15        8.443403*       0.0388
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   75 16:59:07        8.443403*       0.0388
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   76 23:27:15        8.442646*       0.0548
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   76 16:59:07        8.442646*       0.0548
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   77 23:27:15        8.442114*       0.0614
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   77 16:59:07        8.442114*       0.0614
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   78 23:27:15        8.440960*       0.0588
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   78 16:59:07        8.440960*       0.0588
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   79 23:27:15        8.439820*       0.0482
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   79 16:59:07        8.439820*       0.0482
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   80 23:27:15        8.438600*       0.0513
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   80 16:59:07        8.438600*       0.0513
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   81 23:27:15        8.437429*       0.0541
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   81 16:59:07        8.437429*       0.0541
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   82 23:27:15        8.435695*       0.0672
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   82 16:59:07        8.435695*       0.0672
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   83 23:27:15        8.431957*       0.0857
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   83 16:59:07        8.431957*       0.0857
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   84 23:27:16        8.423485*       0.1332
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   84 16:59:08        8.423485*       0.1332
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   85 23:27:16        8.413846*       0.2078
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   85 16:59:08        8.413846*       0.2078
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   86 23:27:16        8.404849*       0.1787
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   86 16:59:08        8.404849*       0.1787
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   87 23:27:16        8.385339*       0.1690
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   87 16:59:08        8.385339*       0.1690
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   88 23:27:16        8.386849*       0.1876
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   88 16:59:08        8.386849*       0.1876
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   89 23:27:16        8.371078*       0.1181
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   89 16:59:08        8.371078*       0.1181
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   90 23:27:16        8.368801*       0.0942
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   90 16:59:08        8.368801*       0.0942
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   91 23:27:16        8.366226*       0.0670
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   91 16:59:08        8.366226*       0.0670
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   92 23:27:16        8.361680*       0.0550
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   92 16:59:08        8.361680*       0.0550
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   93 23:27:16        8.360631*       0.0473
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   93 16:59:08        8.360631*       0.0473
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   94 23:27:16        8.359692*       0.0242
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   94 16:59:08        8.359692*       0.0242
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   95 23:27:16        8.359361*       0.0155
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   95 16:59:08        8.359361*       0.0155
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   96 23:27:16        8.359163*       0.0143
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   96 16:59:08        8.359163*       0.0143
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   97 23:27:16        8.359102*       0.0156
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   97 16:59:08        8.359102*       0.0156
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   98 23:27:16        8.359048*       0.0155
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   98 16:59:08        8.359048*       0.0155
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   99 23:27:16        8.358986*       0.0142
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:   99 16:59:08        8.358986*       0.0142
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:  100 23:27:16        8.358921*       0.0132
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>LBFGS:  100 16:59:08        8.358921*       0.0132
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/ase/io/extxyz.py:302: UserWarning: Skipping unhashable information adsorbate_info
diff --git a/legacy_tutorials/legacy_tutorials.html b/legacy_tutorials/legacy_tutorials.html
index 71a2b788e..af0e2fe50 100644
--- a/legacy_tutorials/legacy_tutorials.html
+++ b/legacy_tutorials/legacy_tutorials.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
@@ -58,6 +58,8 @@
     <script async="async" src="../_static/sphinx-thebe.js?v=c100c467"></script>
     <script>var togglebuttonSelector = '.toggle, .admonition.dropdown';</script>
     <script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"; const thebe_selector = ".thebe,.cell"; const thebe_selector_input = "pre"; const thebe_selector_output = ".output, .cell_output"</script>
+    <script>window.MathJax = {"options": {"processHtmlClass": "tex2jax_process|mathjax_process|math|output_area"}}</script>
+    <script defer="defer" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
     <script>DOCUMENTATION_OPTIONS.pagename = 'legacy_tutorials/legacy_tutorials';</script>
     <link rel="index" title="Index" href="../genindex.html" />
     <link rel="search" title="Search" href="../search.html" />
diff --git a/py-modindex.html b/py-modindex.html
index 61f0930f7..03b0a4577 100644
--- a/py-modindex.html
+++ b/py-modindex.html
@@ -33,7 +33,7 @@
     <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -42,7 +42,7 @@
   <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/doctools.js?v=9a2dae69"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="_static/copybutton.js?v=f281be69"></script>
diff --git a/reports/core/fine-tuning/fine-tuning-oxides.err.log b/reports/core/fine-tuning/fine-tuning-oxides.err.log
deleted file mode 100644
index 64f52c545..000000000
--- a/reports/core/fine-tuning/fine-tuning-oxides.err.log
+++ /dev/null
@@ -1,47 +0,0 @@
-Traceback (most recent call last):
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/nbclient/client.py", line 782, in _async_poll_for_reply
-    msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout))
-          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/jupyter_core/utils/__init__.py", line 198, in ensure_async
-    result = await obj
-             ^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/jupyter_client/channels.py", line 315, in get_msg
-    raise Empty
-_queue.Empty
-
-During handling of the above exception, another exception occurred:
-
-Traceback (most recent call last):
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/jupyter_cache/executors/utils.py", line 58, in single_nb_execution
-    executenb(
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/nbclient/client.py", line 1314, in execute
-    return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute()
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/jupyter_core/utils/__init__.py", line 165, in wrapped
-    return loop.run_until_complete(inner)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/asyncio/base_events.py", line 654, in run_until_complete
-    return future.result()
-           ^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/nbclient/client.py", line 709, in async_execute
-    await self.async_execute_cell(
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/nbclient/client.py", line 1005, in async_execute_cell
-    exec_reply = await self.task_poll_for_reply
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/nbclient/client.py", line 806, in _async_poll_for_reply
-    error_on_timeout_execute_reply = await self._async_handle_timeout(timeout, cell)
-                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/nbclient/client.py", line 856, in _async_handle_timeout
-    raise CellTimeoutError.error_from_timeout_and_cell(
-nbclient.exceptions.CellTimeoutError: A cell timed out while it was being executed, after 1800 seconds.
-The message was: Cell execution timed out.
-Here is a preview of the cell contents:
--------------------
-import time
-from ocpmodels.common.tutorial_utils import ocp_main
-
-t0 = time.time()
-! python {ocp_main()} --mode train --config-yml {yml} --checkpoint {checkpoint_path} --run-dir fine-tuning --identifier ft-oxides --amp > train.txt 2>&1 
-print(f'Elapsed time = {time.time() - t0:1.1f} seconds')
--------------------
-
diff --git a/reports/tutorials/advanced/fine-tuning-in-python.err.log b/reports/tutorials/advanced/fine-tuning-in-python.err.log
index 11773d0bb..a025d9f3a 100644
--- a/reports/tutorials/advanced/fine-tuning-in-python.err.log
+++ b/reports/tutorials/advanced/fine-tuning-in-python.err.log
@@ -1,16 +1,3 @@
-Traceback (most recent call last):
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/nbclient/client.py", line 782, in _async_poll_for_reply
-    msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout))
-          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/jupyter_core/utils/__init__.py", line 198, in ensure_async
-    result = await obj
-             ^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/jupyter_client/channels.py", line 315, in get_msg
-    raise Empty
-_queue.Empty
-
-During handling of the above exception, another exception occurred:
-
 Traceback (most recent call last):
   File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/jupyter_cache/executors/utils.py", line 58, in single_nb_execution
     executenb(
@@ -25,23 +12,100 @@ Traceback (most recent call last):
            ^^^^^^^^^^^^^^^
   File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/nbclient/client.py", line 709, in async_execute
     await self.async_execute_cell(
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/nbclient/client.py", line 1005, in async_execute_cell
-    exec_reply = await self.task_poll_for_reply
-                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/nbclient/client.py", line 806, in _async_poll_for_reply
-    error_on_timeout_execute_reply = await self._async_handle_timeout(timeout, cell)
-                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/nbclient/client.py", line 856, in _async_handle_timeout
-    raise CellTimeoutError.error_from_timeout_and_cell(
-nbclient.exceptions.CellTimeoutError: A cell timed out while it was being executed, after 1800 seconds.
-The message was: Cell execution timed out.
-Here is a preview of the cell contents:
--------------------
+  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/nbclient/client.py", line 1062, in async_execute_cell
+    await self._check_raise_for_error(cell, cell_index, exec_reply)
+  File "/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/nbclient/client.py", line 918, in _check_raise_for_error
+    raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)
+nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
+------------------
 with new_trainer_context(config=config, args=args) as ctx:
     config = ctx.config
     task = ctx.task
     trainer = ctx.trainer
     task.setup(trainer)
     task.run()
--------------------
+------------------
+
+----- stderr -----
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
+  warnings.warn(
+----- stderr -----
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
+  storage = elem.storage()._new_shared(numel)
+----- stderr -----
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
+  storage = elem.storage()._new_shared(numel)
+----- stderr -----
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/amp/autocast_mode.py:250: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
+  warnings.warn(
+----- stderr -----
+
device 0:   0%|          | 0/2 [00:00<?, ?it/s]
+----- stderr -----
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
+  storage = elem.storage()._new_shared(numel)
+----- stderr -----
+/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
+  storage = elem.storage()._new_shared(numel)
+----- stderr -----
+
device 0:  50%|█████     | 1/2 [00:04<00:04,  4.21s/it]
+----- stderr -----
+
device 0: 100%|██████████| 2/2 [00:06<00:00,  3.31s/it]
+----- stderr -----
+
device 0: 100%|██████████| 2/2 [00:06<00:00,  3.49s/it]
+----- stderr -----
+
+------------------
+
+---------------------------------------------------------------------------
+TypeError                                 Traceback (most recent call last)
+Cell In[9], line 6
+      4 trainer = ctx.trainer
+      5 task.setup(trainer)
+----> 6 task.run()
+
+File ~/work/ocp/ocp/ocpmodels/tasks/task.py:51, in TrainTask.run(self)
+     49 def run(self) -> None:
+     50     try:
+---> 51         self.trainer.train(
+     52             disable_eval_tqdm=self.config.get("hide_eval_progressbar", False)
+     53         )
+     54     except RuntimeError as e:
+     55         self._process_error(e)
+
+File ~/work/ocp/ocp/ocpmodels/trainers/ocp_trainer.py:200, in OCPTrainer.train(self, disable_eval_tqdm)
+    195 if self.val_loader is not None:
+    196     val_metrics = self.validate(
+    197         split="val",
+    198         disable_tqdm=disable_eval_tqdm,
+    199     )
+--> 200     self.update_best(
+    201         primary_metric,
+    202         val_metrics,
+    203         disable_eval_tqdm=disable_eval_tqdm,
+    204     )
+    206 if self.config["task"].get("eval_relaxations", False):
+    207     if "relax_dataset" not in self.config["task"]:
+
+File ~/work/ocp/ocp/ocpmodels/trainers/base_trainer.py:667, in BaseTrainer.update_best(self, primary_metric, val_metrics, disable_eval_tqdm)
+    660 def update_best(
+    661     self,
+    662     primary_metric,
+    663     val_metrics,
+    664     disable_eval_tqdm: bool = True,
+    665 ) -> None:
+    666     if (
+--> 667         "mae" in primary_metric
+    668         and val_metrics[primary_metric]["metric"] < self.best_val_metric
+    669     ) or (
+    670         "mae" not in primary_metric
+    671         and val_metrics[primary_metric]["metric"] > self.best_val_metric
+    672     ):
+    673         self.best_val_metric = val_metrics[primary_metric]["metric"]
+    674         self.save(
+    675             metrics=val_metrics,
+    676             checkpoint_file="best_checkpoint.pt",
+    677             training_state=False,
+    678         )
+
+TypeError: argument of type 'NoneType' is not iterable
 
diff --git a/search.html b/search.html
index 9009dfeb7..32fd16195 100644
--- a/search.html
+++ b/search.html
@@ -32,7 +32,7 @@
     <link rel="stylesheet" type="text/css" href="_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -41,7 +41,7 @@
   <script src="_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="_static/doctools.js?v=888ff710"></script>
+    <script src="_static/doctools.js?v=9a2dae69"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="_static/copybutton.js?v=f281be69"></script>
diff --git a/searchindex.js b/searchindex.js
index 71382e2a6..cdcd3e25e 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["autoapi/index", "autoapi/ocpmodels/common/data_parallel/index", "autoapi/ocpmodels/common/distutils/index", "autoapi/ocpmodels/common/flags/index", "autoapi/ocpmodels/common/gp_utils/index", "autoapi/ocpmodels/common/hpo_utils/index", "autoapi/ocpmodels/common/index", "autoapi/ocpmodels/common/logger/index", "autoapi/ocpmodels/common/registry/index", "autoapi/ocpmodels/common/relaxation/ase_utils/index", "autoapi/ocpmodels/common/relaxation/index", "autoapi/ocpmodels/common/relaxation/ml_relaxation/index", "autoapi/ocpmodels/common/relaxation/optimizers/index", "autoapi/ocpmodels/common/relaxation/optimizers/lbfgs_torch/index", "autoapi/ocpmodels/common/transforms/index", "autoapi/ocpmodels/common/tutorial_utils/index", "autoapi/ocpmodels/common/typing/index", "autoapi/ocpmodels/common/utils/index", "autoapi/ocpmodels/datasets/_utils/index", "autoapi/ocpmodels/datasets/ase_datasets/index", "autoapi/ocpmodels/datasets/embeddings/atomic_radii/index", "autoapi/ocpmodels/datasets/embeddings/continuous_embeddings/index", "autoapi/ocpmodels/datasets/embeddings/index", "autoapi/ocpmodels/datasets/embeddings/khot_embeddings/index", "autoapi/ocpmodels/datasets/embeddings/qmof_khot_embeddings/index", "autoapi/ocpmodels/datasets/index", "autoapi/ocpmodels/datasets/lmdb_database/index", "autoapi/ocpmodels/datasets/lmdb_dataset/index", "autoapi/ocpmodels/datasets/oc22_lmdb_dataset/index", "autoapi/ocpmodels/datasets/target_metadata_guesser/index", "autoapi/ocpmodels/index", "autoapi/ocpmodels/models/base/index", "autoapi/ocpmodels/models/dimenet_plus_plus/index", "autoapi/ocpmodels/models/equiformer_v2/activation/index", "autoapi/ocpmodels/models/equiformer_v2/drop/index", "autoapi/ocpmodels/models/equiformer_v2/edge_rot_mat/index", "autoapi/ocpmodels/models/equiformer_v2/equiformer_v2_oc20/index", "autoapi/ocpmodels/models/equiformer_v2/gaussian_rbf/index", "autoapi/ocpmodels/models/equiformer_v2/index", "autoapi/ocpmodels/models/equiformer_v2/input_block/index", "autoapi/ocpmodels/models/equiformer_v2/layer_norm/index", "autoapi/ocpmodels/models/equiformer_v2/module_list/index", "autoapi/ocpmodels/models/equiformer_v2/radial_function/index", "autoapi/ocpmodels/models/equiformer_v2/so2_ops/index", "autoapi/ocpmodels/models/equiformer_v2/so3/index", "autoapi/ocpmodels/models/equiformer_v2/trainers/energy_trainer/index", "autoapi/ocpmodels/models/equiformer_v2/trainers/forces_trainer/index", "autoapi/ocpmodels/models/equiformer_v2/trainers/index", "autoapi/ocpmodels/models/equiformer_v2/trainers/lr_scheduler/index", "autoapi/ocpmodels/models/equiformer_v2/transformer_block/index", "autoapi/ocpmodels/models/equiformer_v2/wigner/index", "autoapi/ocpmodels/models/escn/escn/index", "autoapi/ocpmodels/models/escn/index", "autoapi/ocpmodels/models/escn/so3/index", "autoapi/ocpmodels/models/gemnet/gemnet/index", "autoapi/ocpmodels/models/gemnet/index", "autoapi/ocpmodels/models/gemnet/initializers/index", "autoapi/ocpmodels/models/gemnet/layers/atom_update_block/index", "autoapi/ocpmodels/models/gemnet/layers/base_layers/index", "autoapi/ocpmodels/models/gemnet/layers/basis_utils/index", "autoapi/ocpmodels/models/gemnet/layers/efficient/index", "autoapi/ocpmodels/models/gemnet/layers/embedding_block/index", "autoapi/ocpmodels/models/gemnet/layers/index", "autoapi/ocpmodels/models/gemnet/layers/interaction_block/index", "autoapi/ocpmodels/models/gemnet/layers/radial_basis/index", "autoapi/ocpmodels/models/gemnet/layers/spherical_basis/index", "autoapi/ocpmodels/models/gemnet/utils/index", "autoapi/ocpmodels/models/gemnet_gp/gemnet/index", "autoapi/ocpmodels/models/gemnet_gp/index", "autoapi/ocpmodels/models/gemnet_gp/initializers/index", "autoapi/ocpmodels/models/gemnet_gp/layers/atom_update_block/index", "autoapi/ocpmodels/models/gemnet_gp/layers/base_layers/index", "autoapi/ocpmodels/models/gemnet_gp/layers/basis_utils/index", "autoapi/ocpmodels/models/gemnet_gp/layers/efficient/index", "autoapi/ocpmodels/models/gemnet_gp/layers/embedding_block/index", "autoapi/ocpmodels/models/gemnet_gp/layers/index", "autoapi/ocpmodels/models/gemnet_gp/layers/interaction_block/index", "autoapi/ocpmodels/models/gemnet_gp/layers/radial_basis/index", "autoapi/ocpmodels/models/gemnet_gp/layers/spherical_basis/index", "autoapi/ocpmodels/models/gemnet_gp/utils/index", "autoapi/ocpmodels/models/gemnet_oc/gemnet_oc/index", "autoapi/ocpmodels/models/gemnet_oc/index", "autoapi/ocpmodels/models/gemnet_oc/initializers/index", "autoapi/ocpmodels/models/gemnet_oc/interaction_indices/index", "autoapi/ocpmodels/models/gemnet_oc/layers/atom_update_block/index", "autoapi/ocpmodels/models/gemnet_oc/layers/base_layers/index", "autoapi/ocpmodels/models/gemnet_oc/layers/basis_utils/index", "autoapi/ocpmodels/models/gemnet_oc/layers/efficient/index", "autoapi/ocpmodels/models/gemnet_oc/layers/embedding_block/index", "autoapi/ocpmodels/models/gemnet_oc/layers/force_scaler/index", "autoapi/ocpmodels/models/gemnet_oc/layers/index", "autoapi/ocpmodels/models/gemnet_oc/layers/interaction_block/index", "autoapi/ocpmodels/models/gemnet_oc/layers/radial_basis/index", "autoapi/ocpmodels/models/gemnet_oc/layers/spherical_basis/index", "autoapi/ocpmodels/models/gemnet_oc/utils/index", "autoapi/ocpmodels/models/index", "autoapi/ocpmodels/models/model_registry/index", "autoapi/ocpmodels/models/painn/index", "autoapi/ocpmodels/models/painn/painn/index", "autoapi/ocpmodels/models/painn/utils/index", "autoapi/ocpmodels/models/schnet/index", "autoapi/ocpmodels/models/scn/index", "autoapi/ocpmodels/models/scn/sampling/index", "autoapi/ocpmodels/models/scn/scn/index", "autoapi/ocpmodels/models/scn/smearing/index", "autoapi/ocpmodels/models/scn/spherical_harmonics/index", "autoapi/ocpmodels/models/utils/activations/index", "autoapi/ocpmodels/models/utils/basis/index", "autoapi/ocpmodels/models/utils/index", "autoapi/ocpmodels/modules/evaluator/index", "autoapi/ocpmodels/modules/exponential_moving_average/index", "autoapi/ocpmodels/modules/index", "autoapi/ocpmodels/modules/loss/index", "autoapi/ocpmodels/modules/normalizer/index", "autoapi/ocpmodels/modules/scaling/compat/index", "autoapi/ocpmodels/modules/scaling/fit/index", "autoapi/ocpmodels/modules/scaling/index", "autoapi/ocpmodels/modules/scaling/scale_factor/index", "autoapi/ocpmodels/modules/scaling/util/index", "autoapi/ocpmodels/modules/scheduler/index", "autoapi/ocpmodels/modules/transforms/index", "autoapi/ocpmodels/preprocessing/atoms_to_graphs/index", "autoapi/ocpmodels/preprocessing/index", "autoapi/ocpmodels/tasks/index", "autoapi/ocpmodels/tasks/task/index", "autoapi/ocpmodels/trainers/base_trainer/index", "autoapi/ocpmodels/trainers/index", "autoapi/ocpmodels/trainers/ocp_trainer/index", "core/ase_dataset_creation", "core/datasets/oc20", "core/datasets/oc22", "core/datasets/odac", "core/fine-tuning/fine-tuning-oxides", "core/gotchas", "core/inference", "core/install", "core/intro_series", "core/license", "core/lmdb_dataset_creation", "core/model_checkpoints", "core/model_faq", "core/model_training", "core/ocpapi", "core/papers_using_models", "core/quickstart", "execution_time", "index", "legacy_tutorials/OCP_Tutorial", "legacy_tutorials/data_preprocessing", "legacy_tutorials/data_visualization", "legacy_tutorials/legacy_tutorials", "tutorials/NRR/NRR_example", "tutorials/NRR/NRR_toc", "tutorials/OCP-introduction", "tutorials/adsorbml_walkthrough", "tutorials/advanced/advanced_toc", "tutorials/advanced/embeddings", "tutorials/advanced/fine-tuning-in-python", "tutorials/intro", "videos/technical_talks"], "filenames": ["autoapi/index.rst", "autoapi/ocpmodels/common/data_parallel/index.rst", "autoapi/ocpmodels/common/distutils/index.rst", "autoapi/ocpmodels/common/flags/index.rst", "autoapi/ocpmodels/common/gp_utils/index.rst", "autoapi/ocpmodels/common/hpo_utils/index.rst", "autoapi/ocpmodels/common/index.rst", "autoapi/ocpmodels/common/logger/index.rst", "autoapi/ocpmodels/common/registry/index.rst", "autoapi/ocpmodels/common/relaxation/ase_utils/index.rst", "autoapi/ocpmodels/common/relaxation/index.rst", "autoapi/ocpmodels/common/relaxation/ml_relaxation/index.rst", "autoapi/ocpmodels/common/relaxation/optimizers/index.rst", "autoapi/ocpmodels/common/relaxation/optimizers/lbfgs_torch/index.rst", "autoapi/ocpmodels/common/transforms/index.rst", "autoapi/ocpmodels/common/tutorial_utils/index.rst", "autoapi/ocpmodels/common/typing/index.rst", "autoapi/ocpmodels/common/utils/index.rst", "autoapi/ocpmodels/datasets/_utils/index.rst", "autoapi/ocpmodels/datasets/ase_datasets/index.rst", "autoapi/ocpmodels/datasets/embeddings/atomic_radii/index.rst", "autoapi/ocpmodels/datasets/embeddings/continuous_embeddings/index.rst", "autoapi/ocpmodels/datasets/embeddings/index.rst", "autoapi/ocpmodels/datasets/embeddings/khot_embeddings/index.rst", "autoapi/ocpmodels/datasets/embeddings/qmof_khot_embeddings/index.rst", "autoapi/ocpmodels/datasets/index.rst", "autoapi/ocpmodels/datasets/lmdb_database/index.rst", "autoapi/ocpmodels/datasets/lmdb_dataset/index.rst", "autoapi/ocpmodels/datasets/oc22_lmdb_dataset/index.rst", "autoapi/ocpmodels/datasets/target_metadata_guesser/index.rst", "autoapi/ocpmodels/index.rst", "autoapi/ocpmodels/models/base/index.rst", "autoapi/ocpmodels/models/dimenet_plus_plus/index.rst", "autoapi/ocpmodels/models/equiformer_v2/activation/index.rst", "autoapi/ocpmodels/models/equiformer_v2/drop/index.rst", "autoapi/ocpmodels/models/equiformer_v2/edge_rot_mat/index.rst", "autoapi/ocpmodels/models/equiformer_v2/equiformer_v2_oc20/index.rst", "autoapi/ocpmodels/models/equiformer_v2/gaussian_rbf/index.rst", "autoapi/ocpmodels/models/equiformer_v2/index.rst", "autoapi/ocpmodels/models/equiformer_v2/input_block/index.rst", "autoapi/ocpmodels/models/equiformer_v2/layer_norm/index.rst", "autoapi/ocpmodels/models/equiformer_v2/module_list/index.rst", "autoapi/ocpmodels/models/equiformer_v2/radial_function/index.rst", "autoapi/ocpmodels/models/equiformer_v2/so2_ops/index.rst", "autoapi/ocpmodels/models/equiformer_v2/so3/index.rst", "autoapi/ocpmodels/models/equiformer_v2/trainers/energy_trainer/index.rst", "autoapi/ocpmodels/models/equiformer_v2/trainers/forces_trainer/index.rst", "autoapi/ocpmodels/models/equiformer_v2/trainers/index.rst", "autoapi/ocpmodels/models/equiformer_v2/trainers/lr_scheduler/index.rst", "autoapi/ocpmodels/models/equiformer_v2/transformer_block/index.rst", "autoapi/ocpmodels/models/equiformer_v2/wigner/index.rst", "autoapi/ocpmodels/models/escn/escn/index.rst", "autoapi/ocpmodels/models/escn/index.rst", "autoapi/ocpmodels/models/escn/so3/index.rst", "autoapi/ocpmodels/models/gemnet/gemnet/index.rst", "autoapi/ocpmodels/models/gemnet/index.rst", "autoapi/ocpmodels/models/gemnet/initializers/index.rst", "autoapi/ocpmodels/models/gemnet/layers/atom_update_block/index.rst", "autoapi/ocpmodels/models/gemnet/layers/base_layers/index.rst", "autoapi/ocpmodels/models/gemnet/layers/basis_utils/index.rst", "autoapi/ocpmodels/models/gemnet/layers/efficient/index.rst", "autoapi/ocpmodels/models/gemnet/layers/embedding_block/index.rst", "autoapi/ocpmodels/models/gemnet/layers/index.rst", "autoapi/ocpmodels/models/gemnet/layers/interaction_block/index.rst", "autoapi/ocpmodels/models/gemnet/layers/radial_basis/index.rst", "autoapi/ocpmodels/models/gemnet/layers/spherical_basis/index.rst", "autoapi/ocpmodels/models/gemnet/utils/index.rst", "autoapi/ocpmodels/models/gemnet_gp/gemnet/index.rst", "autoapi/ocpmodels/models/gemnet_gp/index.rst", "autoapi/ocpmodels/models/gemnet_gp/initializers/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/atom_update_block/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/base_layers/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/basis_utils/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/efficient/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/embedding_block/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/interaction_block/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/radial_basis/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/spherical_basis/index.rst", "autoapi/ocpmodels/models/gemnet_gp/utils/index.rst", "autoapi/ocpmodels/models/gemnet_oc/gemnet_oc/index.rst", "autoapi/ocpmodels/models/gemnet_oc/index.rst", "autoapi/ocpmodels/models/gemnet_oc/initializers/index.rst", "autoapi/ocpmodels/models/gemnet_oc/interaction_indices/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/atom_update_block/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/base_layers/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/basis_utils/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/efficient/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/embedding_block/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/force_scaler/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/interaction_block/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/radial_basis/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/spherical_basis/index.rst", "autoapi/ocpmodels/models/gemnet_oc/utils/index.rst", "autoapi/ocpmodels/models/index.rst", "autoapi/ocpmodels/models/model_registry/index.rst", "autoapi/ocpmodels/models/painn/index.rst", "autoapi/ocpmodels/models/painn/painn/index.rst", "autoapi/ocpmodels/models/painn/utils/index.rst", "autoapi/ocpmodels/models/schnet/index.rst", "autoapi/ocpmodels/models/scn/index.rst", "autoapi/ocpmodels/models/scn/sampling/index.rst", "autoapi/ocpmodels/models/scn/scn/index.rst", "autoapi/ocpmodels/models/scn/smearing/index.rst", "autoapi/ocpmodels/models/scn/spherical_harmonics/index.rst", "autoapi/ocpmodels/models/utils/activations/index.rst", "autoapi/ocpmodels/models/utils/basis/index.rst", "autoapi/ocpmodels/models/utils/index.rst", "autoapi/ocpmodels/modules/evaluator/index.rst", "autoapi/ocpmodels/modules/exponential_moving_average/index.rst", "autoapi/ocpmodels/modules/index.rst", "autoapi/ocpmodels/modules/loss/index.rst", "autoapi/ocpmodels/modules/normalizer/index.rst", "autoapi/ocpmodels/modules/scaling/compat/index.rst", "autoapi/ocpmodels/modules/scaling/fit/index.rst", "autoapi/ocpmodels/modules/scaling/index.rst", "autoapi/ocpmodels/modules/scaling/scale_factor/index.rst", "autoapi/ocpmodels/modules/scaling/util/index.rst", "autoapi/ocpmodels/modules/scheduler/index.rst", "autoapi/ocpmodels/modules/transforms/index.rst", "autoapi/ocpmodels/preprocessing/atoms_to_graphs/index.rst", "autoapi/ocpmodels/preprocessing/index.rst", "autoapi/ocpmodels/tasks/index.rst", "autoapi/ocpmodels/tasks/task/index.rst", "autoapi/ocpmodels/trainers/base_trainer/index.rst", "autoapi/ocpmodels/trainers/index.rst", "autoapi/ocpmodels/trainers/ocp_trainer/index.rst", "core/ase_dataset_creation.md", "core/datasets/oc20.md", "core/datasets/oc22.md", "core/datasets/odac.md", "core/fine-tuning/fine-tuning-oxides.md", "core/gotchas.md", "core/inference.md", "core/install.md", "core/intro_series.md", "core/license.md", "core/lmdb_dataset_creation.md", "core/model_checkpoints.md", "core/model_faq.md", "core/model_training.md", "core/ocpapi.md", "core/papers_using_models.md", "core/quickstart.md", "execution_time.md", "index.md", "legacy_tutorials/OCP_Tutorial.md", "legacy_tutorials/data_preprocessing.md", "legacy_tutorials/data_visualization.md", "legacy_tutorials/legacy_tutorials.md", "tutorials/NRR/NRR_example.md", "tutorials/NRR/NRR_toc.md", "tutorials/OCP-introduction.md", "tutorials/adsorbml_walkthrough.md", "tutorials/advanced/advanced_toc.md", "tutorials/advanced/embeddings.md", "tutorials/advanced/fine-tuning-in-python.md", "tutorials/intro.md", "videos/technical_talks.md"], "titles": ["API Reference", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.data_parallel</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.distutils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.flags</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.gp_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.hpo_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.logger</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.registry</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.relaxation.ase_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.relaxation</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.relaxation.ml_relaxation</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.relaxation.optimizers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.relaxation.optimizers.lbfgs_torch</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.transforms</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.tutorial_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.typing</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets._utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.ase_datasets</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.embeddings.atomic_radii</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.embeddings.continuous_embeddings</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.embeddings</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.embeddings.khot_embeddings</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.embeddings.qmof_khot_embeddings</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.lmdb_database</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.lmdb_dataset</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.oc22_lmdb_dataset</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.target_metadata_guesser</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.base</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.dimenet_plus_plus</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.activation</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.drop</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.edge_rot_mat</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.equiformer_v2_oc20</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.gaussian_rbf</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.input_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.layer_norm</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.module_list</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.radial_function</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.so2_ops</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.so3</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.trainers.energy_trainer</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.trainers.forces_trainer</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.trainers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.trainers.lr_scheduler</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.transformer_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.wigner</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.escn.escn</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.escn</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.escn.so3</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.gemnet</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.initializers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.atom_update_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.base_layers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.basis_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.efficient</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.embedding_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.interaction_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.radial_basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.spherical_basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.gemnet</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.initializers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.atom_update_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.base_layers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.basis_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.efficient</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.embedding_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.interaction_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.radial_basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.spherical_basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.gemnet_oc</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.initializers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.interaction_indices</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.atom_update_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.base_layers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.basis_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.efficient</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.embedding_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.force_scaler</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.interaction_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.radial_basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.spherical_basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.model_registry</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.painn</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.painn.painn</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.painn.utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.schnet</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.scn</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.scn.sampling</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.scn.scn</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.scn.smearing</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.scn.spherical_harmonics</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.utils.activations</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.utils.basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.evaluator</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.exponential_moving_average</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.loss</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.normalizer</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.scaling.compat</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.scaling.fit</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.scaling</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.scaling.scale_factor</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.scaling.util</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.scheduler</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.transforms</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.preprocessing.atoms_to_graphs</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.preprocessing</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.tasks</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.tasks.task</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.trainers.base_trainer</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.trainers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.trainers.ocp_trainer</span></code>", "Making and using ASE datasets", "Open Catalyst 2020 (OC20)", "Open Catalyst 2022 (OC22)", "Open Direct Air Capture 2023 (ODAC23)", "Fine tuning a model", "Common gotchas with OCP", "Fast batched inference", "Installation", "Why model atoms for climate?", "License", "Making LMDB Datasets (original format)", "Pretrained model checkpoints", "Model FAQ", "Training and evaluating custom models on OCP datasets", "ocpapi", "Studies that have leveraged OCP models", "Using pre-trained models in ASE", "Notebook execution times", "<code class=\"docutils literal notranslate\"><span class=\"pre\">ocp</span></code> by Open Catalyst Project", "Open Catalyst Project Tutorial Notebook", "OCP Data Preprocessing Tutorial", "OCP Data Visualization", "Legacy [deprecated] Tutorials", "Using OCP to enumerate adsorbates on alloy catalyst surfaces", "Screening catalysts with OCP", "Simple simulations using the OCP ASE calculator", "AdsorbML tutorial", "Advanced OCP usage", "Working with embeddings", "Fine-tuning with Python", "Intro and background on OCP and DFT", "Technical presentations"], "terms": {"thi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 17, 18, 19, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 36, 37, 38, 40, 44, 45, 46, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 110, 111, 112, 113, 116, 117, 119, 121, 122, 124, 125, 127, 128, 129, 130, 132, 133, 134, 137, 138, 139, 140, 141, 142, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157], "page": [0, 139, 146, 147, 149], "contain": [0, 15, 17, 19, 25, 27, 28, 31, 32, 33, 34, 37, 40, 41, 44, 54, 55, 58, 59, 67, 68, 71, 72, 80, 81, 83, 85, 86, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 128, 129, 130, 131, 132, 138, 140, 141, 147, 148, 149, 156], "auto": [0, 142, 156], "gener": [0, 1, 7, 8, 15, 56, 69, 80, 81, 82, 128, 129, 132, 133, 141, 142, 146, 150, 151, 158], "document": [0, 32, 98, 133, 137, 141, 142, 144, 145, 147, 149, 151], "1": [0, 1, 4, 14, 15, 19, 25, 26, 31, 32, 33, 34, 36, 37, 38, 40, 44, 51, 52, 53, 56, 58, 60, 64, 66, 69, 70, 71, 73, 76, 77, 79, 80, 81, 82, 85, 92, 94, 98, 99, 101, 103, 104, 105, 106, 107, 112, 116, 117, 121, 122, 128, 130, 132, 133, 134, 135, 138, 139, 140, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "ocpmodel": [0, 132, 133, 134, 138, 140, 144, 147, 148, 151, 153, 154, 156, 157, 158], "common": [0, 30, 98, 119, 121, 122, 125, 126, 129, 130, 131, 132, 134, 135, 139, 144, 147, 151, 153, 154, 156, 157, 158], "relax": [0, 6, 17, 19, 25, 27, 28, 30, 45, 46, 126, 127, 132, 133, 134, 139, 144, 146, 149, 150, 152, 156, 157, 158], "optim": [0, 5, 6, 10, 11, 30, 45, 46, 48, 98, 110, 119, 125, 126, 127, 132, 133, 138, 141, 144, 147, 148, 149, 151, 153, 154, 157, 158], "lbfgs_torch": [0, 6, 10, 12], "ase_util": [0, 6, 10, 30, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "ml_relax": [0, 6, 10, 30], "data_parallel": [0, 6, 30, 125, 126], "distutil": [0, 6, 30, 157], "flag": [0, 6, 30, 36, 38, 121, 122, 140, 154, 157], "gp_util": [0, 6, 30], "hpo_util": [0, 6, 30], "logger": [0, 6, 8, 17, 30, 45, 46, 125, 126, 127, 132, 134, 147, 157], "registri": [0, 6, 30, 147], "transform": [0, 6, 11, 13, 19, 25, 27, 28, 30, 32, 36, 38, 40, 54, 55, 63, 67, 68, 76, 80, 81, 87, 91, 111, 147], "tutorial_util": [0, 6, 30, 132, 134, 147, 157, 158], "type": [0, 1, 4, 6, 17, 19, 25, 27, 30, 36, 38, 40, 44, 45, 46, 49, 53, 57, 59, 60, 61, 63, 66, 70, 72, 73, 74, 76, 79, 80, 81, 83, 84, 86, 87, 88, 91, 94, 107, 121, 122, 126, 127, 129, 133, 147, 149, 156], "util": [0, 1, 6, 9, 19, 25, 27, 28, 30, 55, 68, 81, 95, 97, 111, 116, 119, 125, 126, 128, 133, 134, 138, 141, 147, 148, 151, 154, 157, 158], "dataset": [0, 1, 8, 30, 45, 46, 98, 121, 122, 125, 126, 127, 130, 131, 132, 134, 139, 140, 142, 144, 146, 149, 150, 157], "embed": [0, 25, 30, 32, 36, 38, 39, 43, 44, 49, 51, 53, 54, 55, 57, 58, 60, 61, 63, 67, 68, 70, 71, 73, 74, 76, 80, 81, 83, 84, 85, 87, 88, 91, 98, 132, 133, 145, 155], "atomic_radii": [0, 22, 25, 30], "continuous_embed": [0, 22, 25, 30], "khot_embed": [0, 22, 25, 30], "qmof_khot_embed": [0, 22, 25, 30], "_util": [0, 25, 30], "ase_dataset": [0, 25, 30], "lmdb_databas": [0, 25, 30], "lmdb_dataset": [0, 25, 30], "oc22_lmdb_dataset": [0, 25, 30], "target_metadata_guess": [0, 25, 30], "model": [0, 7, 8, 9, 11, 13, 17, 19, 25, 30, 110, 112, 116, 117, 125, 126, 127, 128, 129, 130, 134, 148, 149, 150, 151, 153, 154, 156, 157], "equiformer_v2": [0, 30, 95], "trainer": [0, 8, 9, 30, 38, 95, 115, 124, 132, 141, 148, 156, 157], "energy_train": [0, 38, 47, 95, 147], "forces_train": [0, 38, 47, 95], "lr_schedul": [0, 38, 47, 95], "activ": [0, 30, 32, 36, 38, 49, 51, 54, 55, 57, 58, 61, 63, 67, 68, 70, 71, 74, 76, 80, 81, 84, 85, 88, 91, 95, 108, 132, 135, 140, 141, 147, 151, 156, 157, 158], "drop": [0, 30, 36, 38, 49, 95, 135], "edge_rot_mat": [0, 30, 38, 44, 53, 95, 105], "equiformer_v2_oc20": [0, 30, 38, 95], "gaussian_rbf": [0, 30, 38, 95], "input_block": [0, 30, 38, 95], "layer_norm": [0, 30, 36, 38, 49, 95], "module_list": [0, 30, 38, 95], "radial_funct": [0, 30, 38, 95], "so2_op": [0, 30, 38, 95], "so3": [0, 30, 38, 51, 52, 95], "transformer_block": [0, 30, 38, 95], "wigner": [0, 30, 38, 39, 44, 49, 53, 95, 105], "escn": [0, 30, 95, 133, 134, 139, 144, 146, 153, 158], "gemnet": [0, 19, 30, 68, 76, 91, 95, 132, 133, 134, 139, 144, 146, 153, 156, 157, 158], "layer": [0, 8, 30, 32, 34, 36, 38, 40, 42, 49, 51, 52, 54, 55, 67, 68, 80, 81, 95, 98, 100, 101, 103, 107, 133, 147, 149], "atom_update_block": [0, 55, 62, 68, 75, 81, 90, 95], "base_lay": [0, 55, 62, 68, 70, 75, 81, 90, 95], "basis_util": [0, 55, 62, 68, 75, 81, 90, 95], "effici": [0, 19, 25, 51, 52, 55, 62, 65, 68, 75, 78, 81, 90, 95, 98, 128, 134, 142, 147], "embedding_block": [0, 55, 62, 68, 75, 81, 90, 95], "interaction_block": [0, 55, 62, 68, 75, 81, 90, 95], "radial_basi": [0, 55, 62, 65, 68, 75, 78, 81, 90, 93, 95, 133, 147], "spherical_basi": [0, 55, 62, 68, 75, 81, 90, 95, 133], "initi": [0, 2, 4, 11, 17, 19, 25, 27, 28, 30, 36, 38, 45, 46, 54, 55, 57, 58, 60, 61, 64, 67, 68, 70, 71, 73, 74, 77, 80, 81, 85, 88, 92, 95, 98, 107, 110, 117, 126, 127, 142, 146, 149, 151, 153, 154], "gemnet_gp": [0, 30, 95], "gemnet_oc": [0, 30, 95, 132, 133, 147, 157], "force_scal": [0, 81, 90, 95], "interaction_indic": [0, 30, 81, 95], "painn": [0, 30, 95, 134, 139, 144, 146, 158], "scn": [0, 30, 95, 133, 134, 139, 142, 144, 146, 158], "sampl": [0, 1, 14, 25, 27, 30, 32, 34, 36, 38, 51, 52, 95, 101, 103, 133, 141, 154], "smear": [0, 30, 95, 101, 107], "spherical_harmon": [0, 30, 95, 101, 132, 147, 157], "basi": [0, 30, 32, 36, 38, 51, 52, 54, 55, 59, 60, 63, 64, 65, 67, 68, 72, 73, 76, 77, 78, 80, 81, 84, 86, 87, 88, 91, 92, 93, 95, 101, 103, 108, 129, 147], "base": [0, 1, 4, 7, 9, 11, 17, 19, 25, 26, 27, 28, 30, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 49, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 64, 65, 67, 68, 69, 70, 71, 73, 74, 76, 77, 78, 80, 81, 82, 84, 85, 87, 88, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 105, 106, 107, 112, 116, 117, 123, 124, 125, 126, 127, 128, 129, 130, 132, 135, 141, 142, 146, 147, 153, 156, 157, 158], "dimenet_plus_plu": [0, 30, 95, 147], "model_registri": [0, 30, 95, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157, 158], "schnet": [0, 30, 95, 134, 139, 141, 144, 146, 147, 158], "modul": [0, 30, 133, 140, 147, 153, 156], "scale": [0, 19, 25, 30, 40, 54, 55, 58, 67, 68, 71, 80, 81, 85, 89, 92, 93, 111, 128, 134, 139, 147, 151, 158], "compat": [0, 4, 30, 36, 38, 111, 116, 119, 147, 151, 158], "fit": [0, 17, 30, 32, 98, 111, 116, 117, 128, 132, 133, 137, 144, 147], "scale_factor": [0, 30, 40, 111, 116], "evalu": [0, 30, 31, 32, 33, 34, 37, 40, 44, 45, 46, 58, 71, 85, 92, 98, 103, 104, 106, 107, 111, 112, 116, 117, 126, 127, 128, 129, 142, 147, 157], "exponential_moving_averag": [0, 30, 111], "loss": [0, 30, 45, 46, 111, 125, 126, 127, 132, 147], "normal": [0, 15, 30, 36, 38, 40, 42, 44, 49, 59, 66, 72, 79, 80, 81, 86, 94, 111, 132, 134, 140, 142, 153, 157], "schedul": [0, 30, 48, 111, 132, 133, 147, 151, 153, 154, 157], "preprocess": [0, 19, 25, 30, 128, 138, 141, 147, 150], "atoms_to_graph": [0, 30, 122, 148], "task": [0, 8, 25, 27, 28, 30, 45, 46, 109, 121, 122, 125, 126, 127, 132, 134, 138, 140, 141, 146, 148, 150, 155], "base_train": [0, 30, 115, 126, 127, 157], "ocp_train": [0, 30, 126, 133, 157], "creat": [0, 4, 9, 17, 34, 54, 55, 67, 68, 83, 98, 125, 126, 132, 134, 135, 138, 148, 150, 151, 153, 154, 156, 157, 158], "sphinx": 0, "autoapi": 0, "copyright": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 137, 147], "c": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 40, 44, 45, 46, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 129, 130, 132, 134, 135, 137, 139, 142, 146, 147, 149, 151, 153, 156], "facebook": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 23, 24, 26, 27, 28, 31, 32, 44, 45, 46, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 137, 147], "inc": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 137], "its": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 137, 142, 147, 154, 158], "affili": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 137], "sourc": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 25, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 147, 148], "code": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 129, 130, 131, 140, 146, 151, 155, 156], "i": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 17, 18, 19, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 36, 37, 38, 39, 40, 41, 44, 45, 46, 48, 49, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 97, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 112, 113, 116, 117, 119, 121, 122, 124, 125, 126, 127, 128, 129, 130, 131, 132, 134, 135, 137, 138, 139, 141, 142, 144, 146, 147, 148, 149, 150, 151, 153, 154, 156, 157, 158], "licens": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 110, 111, 113, 121, 122, 124, 125, 127, 129, 130, 131, 139, 147], "under": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 25, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 129, 130, 131, 139, 142, 146, 147, 156], "mit": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 110, 111, 113, 121, 122, 124, 125, 127, 137, 142, 146, 147], "found": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 126, 127, 129, 133, 134, 141, 142, 146, 147, 149, 150, 151, 153, 154, 156], "file": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 17, 18, 19, 23, 24, 25, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 114, 121, 122, 124, 125, 127, 129, 130, 131, 133, 134, 135, 137, 139, 140, 142, 146, 147, 151, 157, 158], "root": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 17, 18, 19, 23, 24, 27, 28, 30, 31, 32, 40, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 132, 133, 134, 144, 147, 151, 153, 154, 157], "directori": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 17, 18, 19, 23, 24, 25, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 126, 127, 128, 129, 132, 138, 139, 141, 147], "tree": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 27, 28, 30, 31, 32, 33, 34, 37, 40, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 112, 113, 116, 117, 121, 122, 124, 125, 127], "ocpcollat": 1, "otf_graph": [1, 25, 27, 31, 32, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103, 132, 133, 147, 157], "bool": [1, 2, 4, 7, 8, 9, 11, 13, 17, 19, 25, 26, 27, 29, 31, 32, 33, 34, 36, 37, 38, 39, 40, 43, 44, 45, 46, 49, 51, 52, 54, 55, 57, 58, 59, 65, 66, 67, 68, 70, 71, 72, 78, 79, 80, 81, 83, 84, 85, 86, 89, 91, 92, 93, 94, 97, 98, 99, 100, 101, 103, 104, 106, 107, 110, 112, 116, 117, 118, 121, 122, 125, 126, 127, 147, 148], "fals": [1, 2, 4, 8, 11, 13, 17, 19, 25, 26, 27, 32, 33, 34, 36, 38, 43, 45, 46, 49, 51, 52, 54, 55, 58, 59, 65, 66, 67, 68, 71, 72, 78, 79, 80, 81, 83, 85, 86, 91, 92, 93, 94, 97, 98, 99, 100, 101, 103, 107, 110, 118, 121, 122, 125, 126, 127, 128, 132, 133, 134, 138, 139, 141, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "__call__": [1, 14, 17, 48, 120], "data_list": [1, 17, 25, 27, 121, 122], "list": [1, 2, 9, 14, 15, 17, 19, 25, 26, 27, 31, 36, 38, 39, 41, 42, 43, 44, 48, 49, 51, 52, 53, 59, 72, 80, 81, 86, 98, 107, 117, 121, 122, 129, 132, 134, 139, 142, 147, 154, 156, 157, 158], "torch_geometr": [1, 13, 17, 18, 25, 27, 98, 100, 120, 121, 122, 147, 148, 157], "data": [1, 2, 4, 13, 14, 15, 17, 18, 19, 25, 26, 27, 28, 31, 32, 34, 36, 38, 51, 52, 54, 55, 66, 67, 68, 79, 80, 81, 97, 98, 100, 101, 103, 120, 121, 122, 125, 126, 128, 132, 133, 134, 135, 141, 150, 151, 153, 154, 155, 156, 158], "batch": [1, 9, 11, 13, 17, 25, 27, 32, 34, 44, 49, 53, 100, 115, 126, 127, 133, 140, 141, 147], "balanced_partit": 1, "size": [1, 4, 25, 27, 32, 39, 43, 44, 49, 51, 53, 54, 55, 57, 58, 60, 61, 63, 66, 67, 68, 70, 71, 73, 74, 76, 79, 80, 81, 84, 85, 87, 88, 91, 94, 99, 128, 129, 130, 131, 133, 134, 138, 141, 144, 147, 148, 149, 158], "numpi": [1, 66, 79, 94, 99, 107, 132, 133, 134, 147, 149, 154, 156, 158], "ndarrai": [1, 107, 156, 157], "int_": [1, 107], "num_part": [1, 4], "int": [1, 2, 4, 7, 9, 11, 13, 14, 17, 19, 25, 26, 27, 28, 31, 32, 33, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 97, 98, 99, 100, 101, 102, 103, 104, 105, 107, 109, 112, 115, 117, 121, 122, 125, 126, 127, 134, 142, 147, 148, 154], "greedili": 1, "partit": 1, "given": [1, 4, 14, 25, 27, 42, 66, 79, 80, 81, 94, 98, 110, 121, 122, 140, 147, 148], "set": [1, 4, 9, 19, 25, 33, 34, 36, 37, 38, 51, 52, 98, 100, 101, 103, 105, 110, 121, 122, 128, 129, 130, 131, 133, 134, 135, 140, 141, 142, 144, 149, 151, 153, 154, 155, 156, 158], "alwai": [1, 97, 98], "insert": [1, 9], "largest": [1, 138, 147], "element": [1, 23, 24, 36, 38, 59, 66, 72, 79, 86, 87, 94, 99, 133, 140, 142, 149, 158], "smallest": 1, "_hasmetadata": 1, "protocol": [1, 138, 147, 156], "ar": [1, 4, 9, 17, 19, 25, 26, 27, 28, 33, 34, 36, 37, 38, 40, 41, 45, 46, 54, 55, 56, 59, 67, 68, 69, 72, 80, 81, 82, 83, 86, 97, 98, 110, 121, 122, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 139, 141, 142, 144, 146, 147, 149, 151, 153, 154, 156, 157, 158], "defin": [1, 4, 80, 81, 83, 94, 98, 129, 132, 138, 144, 148, 149, 151, 154, 157], "proto": 1, "def": [1, 4, 31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 133, 138, 147, 154, 157], "meth": 1, "self": [1, 9, 14, 19, 25, 26, 31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 85, 92, 97, 98, 103, 104, 106, 107, 112, 116, 117, 129, 133, 138, 147, 156, 157], "Such": 1, "primarili": 1, "us": [1, 4, 8, 11, 15, 17, 19, 21, 25, 26, 27, 28, 32, 34, 36, 38, 39, 40, 41, 43, 44, 45, 46, 48, 49, 51, 52, 53, 54, 55, 57, 58, 61, 63, 65, 67, 68, 70, 71, 74, 76, 78, 80, 81, 83, 84, 85, 87, 88, 89, 91, 94, 97, 98, 100, 101, 103, 105, 110, 114, 121, 122, 125, 126, 127, 129, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 146, 148, 149, 150, 152, 154, 156, 157, 158], "static": [1, 4, 19, 25, 125, 126], "checker": 1, "recogn": 1, "structur": [1, 11, 17, 19, 25, 27, 28, 31, 32, 33, 34, 37, 40, 44, 45, 46, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 126, 127, 132, 134, 139, 140, 146, 149, 151, 153, 156, 158], "subtyp": 1, "duck": 1, "For": [1, 17, 19, 25, 27, 28, 39, 40, 43, 48, 49, 94, 117, 129, 130, 131, 132, 133, 138, 139, 140, 141, 142, 146, 147, 149, 151, 153, 154, 156], "exampl": [1, 4, 9, 17, 19, 25, 31, 32, 33, 34, 37, 39, 40, 41, 43, 44, 45, 46, 49, 58, 66, 71, 79, 85, 92, 94, 98, 99, 103, 104, 106, 107, 112, 116, 117, 126, 127, 128, 129, 130, 132, 133, 140, 141, 142, 147, 153, 154, 155, 158], "return": [1, 4, 8, 14, 15, 17, 19, 25, 27, 31, 32, 33, 34, 36, 37, 38, 40, 41, 43, 44, 54, 55, 57, 58, 59, 60, 61, 63, 66, 67, 68, 70, 71, 72, 73, 74, 76, 79, 80, 81, 83, 84, 85, 86, 87, 88, 91, 92, 94, 95, 96, 97, 98, 99, 103, 104, 106, 107, 110, 112, 116, 117, 121, 122, 133, 138, 142, 147, 149, 153, 154, 156, 157], "0": [1, 4, 9, 11, 13, 14, 15, 17, 25, 26, 27, 28, 29, 32, 33, 34, 36, 38, 40, 45, 46, 49, 51, 52, 54, 55, 56, 59, 64, 66, 67, 68, 69, 72, 76, 77, 79, 80, 81, 82, 86, 89, 91, 92, 94, 97, 98, 99, 100, 101, 103, 104, 106, 107, 121, 122, 125, 126, 127, 129, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "func": [1, 51, 133], "x": [1, 2, 16, 31, 32, 33, 34, 37, 40, 41, 43, 44, 49, 51, 58, 59, 66, 71, 72, 79, 85, 86, 92, 94, 98, 100, 103, 104, 105, 106, 107, 112, 116, 117, 134, 147, 149, 151, 153], "pass": [1, 4, 8, 17, 19, 49, 51, 52, 54, 55, 63, 67, 68, 76, 80, 81, 91, 97, 98, 101, 103, 140, 149, 151, 154, 158], "check": [1, 132, 135, 138, 140, 146, 147, 148, 151, 154, 159], "see": [1, 4, 19, 25, 26, 34, 95, 96, 98, 129, 132, 133, 134, 138, 139, 140, 141, 142, 144, 146, 147, 149, 151, 152, 153, 154, 155, 156, 157], "pep": 1, "544": [1, 138, 142], "detail": [1, 4, 129, 132, 133, 139, 140, 141, 142, 146, 147, 149, 153, 154, 156, 158], "decor": [1, 8, 17, 133], "runtime_check": 1, "act": [1, 8, 32, 41, 44, 51, 53, 103, 106, 107], "simpl": [1, 56, 69, 82, 132, 135, 144, 147, 155, 158], "mind": [1, 19, 25, 133, 154], "runtim": 1, "onli": [1, 11, 17, 19, 25, 33, 45, 46, 54, 55, 59, 67, 68, 72, 80, 81, 83, 86, 87, 91, 97, 98, 126, 127, 128, 130, 132, 133, 134, 141, 142, 147, 148, 149, 151, 153, 154, 156, 157], "presenc": [1, 147], "attribut": [1, 9, 31, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 129, 130, 131, 138, 139, 147], "ignor": [1, 9, 25, 27, 28, 133, 149], "signatur": [1, 134], "can": [1, 4, 8, 9, 17, 19, 25, 26, 31, 32, 33, 34, 36, 37, 38, 40, 41, 44, 45, 46, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 126, 127, 128, 129, 130, 131, 132, 134, 136, 139, 140, 141, 142, 146, 147, 148, 149, 150, 151, 153, 154, 156, 157, 158], "thei": [1, 4, 9, 17, 83, 128, 132, 133, 134, 138, 141, 142, 143, 147, 149, 151, 153, 154, 156, 158], "genproto": 1, "t": [1, 4, 8, 9, 19, 25, 36, 38, 54, 55, 63, 66, 67, 68, 76, 79, 80, 81, 94, 132, 134, 140, 149, 151, 153, 154, 156, 157], "properti": [1, 9, 19, 21, 25, 26, 31, 32, 36, 38, 45, 46, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103, 116, 117, 121, 122, 125, 126, 127, 133, 134, 147, 149, 158], "metadata_path": [1, 25, 27], "pathlib": [1, 13, 17, 19, 25, 26, 27, 95, 96, 151], "path": [1, 9, 13, 15, 17, 19, 25, 26, 27, 34, 36, 38, 45, 46, 49, 54, 55, 66, 67, 68, 79, 80, 81, 95, 96, 121, 122, 126, 127, 128, 129, 130, 132, 135, 140, 141, 147, 149, 151, 154, 157], "statefuldistributedsampl": 1, "batch_siz": [1, 112, 125, 126, 132, 133, 147, 157], "kwarg": [1, 4, 17, 25, 26, 57, 63, 70, 76, 80, 81, 117, 133], "torch": [1, 2, 4, 13, 17, 19, 25, 27, 28, 31, 32, 33, 34, 37, 39, 40, 41, 42, 43, 44, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 91, 92, 93, 94, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 109, 110, 112, 113, 114, 116, 117, 118, 119, 121, 122, 125, 126, 132, 133, 134, 135, 138, 140, 141, 144, 147, 148, 151, 153, 154, 156, 157, 158], "distributedsampl": 1, "more": [1, 4, 19, 25, 34, 128, 129, 132, 133, 138, 140, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156], "fine": [1, 36, 38, 134, 145, 153, 155, 156, 158], "grain": 1, "state": [1, 17, 25, 27, 28, 45, 46, 56, 69, 82, 110, 126, 127, 132, 141, 146, 147, 149, 153, 157, 158], "datasampl": 1, "train": [1, 5, 8, 9, 15, 19, 25, 31, 32, 33, 34, 36, 37, 38, 40, 44, 45, 46, 48, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 125, 126, 127, 128, 129, 130, 131, 133, 134, 138, 139, 148, 150, 151, 153, 154, 155, 156, 158], "iter": [1, 5, 13, 19, 25, 41, 110, 117, 125, 126, 127, 141, 147, 151, 154, 157], "epoch": [1, 5, 19, 25, 48, 119, 132, 147, 157], "both": [1, 33, 34, 37, 40, 80, 81, 91, 97, 98, 129, 130, 141, 144, 147, 149], "shuffl": [1, 125, 126, 132], "pytorch": [1, 32, 80, 81, 121, 122, 133, 135, 141, 146, 147, 148], "start": [1, 25, 27, 28, 66, 79, 82, 92, 94, 99, 104, 107, 132, 133, 134, 145, 147, 150, 152, 153, 155, 157, 158], "from": [1, 8, 14, 15, 17, 19, 24, 25, 26, 27, 28, 32, 36, 38, 40, 48, 49, 51, 56, 66, 69, 79, 80, 81, 82, 83, 86, 94, 98, 99, 100, 110, 114, 117, 119, 128, 129, 130, 131, 132, 134, 135, 137, 138, 139, 142, 144, 146, 147, 148, 149, 151, 153, 154, 156, 157, 158], "In": [1, 19, 25, 59, 61, 72, 74, 83, 86, 98, 129, 130, 132, 133, 134, 138, 140, 141, 142, 147, 148, 149, 151, 153, 156, 157, 158], "case": [1, 17, 19, 25, 98, 128, 138, 141, 142, 147], "veri": [1, 132, 133, 134, 138, 147, 154, 156], "larg": [1, 19, 25, 131, 132, 134, 138, 139, 140, 144, 147, 149, 153, 157, 158], "we": [1, 17, 25, 26, 33, 36, 38, 40, 44, 48, 54, 55, 67, 68, 80, 81, 97, 98, 128, 129, 130, 131, 132, 133, 134, 135, 138, 140, 141, 143, 144, 145, 146, 147, 149, 150, 151, 153, 154, 156, 157, 158], "one": [1, 19, 33, 36, 38, 39, 49, 51, 52, 54, 55, 63, 67, 68, 76, 80, 81, 82, 91, 97, 98, 117, 129, 132, 133, 141, 142, 144, 145, 147, 149, 151, 153, 154, 156, 158], "when": [1, 8, 11, 19, 25, 31, 32, 33, 34, 36, 37, 38, 39, 40, 44, 49, 56, 58, 69, 71, 80, 81, 82, 85, 87, 92, 98, 103, 104, 106, 107, 110, 112, 116, 117, 121, 122, 129, 132, 133, 142, 147, 151, 154, 156, 157, 158], "resum": 1, "want": [1, 9, 19, 25, 128, 132, 143, 144, 147, 151, 153, 157, 158], "sampler": [1, 25, 27, 125, 126, 147], "__iter__": 1, "set_epoch_and_start_iter": 1, "start_it": 1, "balancedbatchsampl": [1, 125, 126], "num_replica": 1, "rank": [1, 45, 46, 126, 127, 147], "devic": [1, 2, 11, 13, 17, 44, 53, 102, 113, 125, 126, 133, 147, 157], "mode": [1, 4, 31, 32, 33, 34, 37, 40, 44, 45, 46, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 126, 127, 132, 134, 140, 141, 147, 151, 154, 157], "str": [1, 2, 5, 7, 8, 9, 11, 13, 14, 16, 17, 18, 19, 25, 26, 32, 34, 36, 38, 40, 41, 44, 45, 46, 49, 51, 52, 54, 55, 57, 58, 61, 63, 64, 66, 67, 68, 70, 71, 74, 76, 77, 79, 80, 81, 84, 85, 88, 91, 92, 95, 96, 97, 98, 100, 101, 102, 103, 106, 107, 109, 112, 114, 115, 116, 117, 121, 122, 125, 126, 127, 157], "atom": [1, 9, 13, 17, 19, 20, 21, 25, 26, 32, 36, 38, 39, 49, 51, 52, 54, 55, 57, 61, 63, 66, 67, 68, 70, 74, 76, 79, 80, 81, 83, 84, 87, 88, 91, 94, 97, 98, 100, 101, 103, 121, 122, 129, 130, 131, 132, 134, 138, 140, 141, 144, 150, 151, 153, 154, 157, 158], "true": [1, 4, 8, 9, 13, 17, 19, 25, 26, 32, 33, 36, 38, 39, 40, 43, 44, 49, 51, 52, 54, 55, 57, 58, 59, 66, 67, 68, 70, 71, 72, 79, 80, 81, 83, 84, 85, 86, 89, 91, 94, 97, 98, 99, 100, 101, 103, 116, 117, 121, 122, 125, 126, 127, 128, 129, 132, 133, 134, 138, 140, 141, 142, 147, 148, 149, 151, 153, 154, 156, 157], "drop_last": 1, "force_balanc": 1, "throw_on_error": 1, "all": [1, 4, 9, 15, 17, 19, 25, 26, 27, 31, 32, 33, 34, 36, 37, 38, 40, 41, 43, 44, 49, 51, 54, 55, 58, 67, 68, 71, 80, 81, 83, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 128, 129, 130, 131, 132, 133, 134, 137, 139, 140, 141, 144, 146, 147, 148, 149, 152, 153, 154, 156, 157, 158], "everi": [1, 17, 19, 25, 48, 54, 55, 67, 68, 80, 81, 97, 98, 110, 128, 147, 157], "subclass": [1, 4, 9, 25, 27, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "ha": [1, 4, 9, 17, 19, 54, 55, 59, 67, 68, 72, 80, 81, 86, 94, 97, 98, 101, 103, 129, 132, 133, 134, 136, 144, 146, 147, 148, 151, 153, 154, 158], "provid": [1, 25, 27, 32, 98, 125, 126, 129, 130, 131, 132, 133, 134, 137, 138, 140, 141, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 156, 157, 158], "an": [1, 4, 8, 15, 17, 19, 25, 27, 31, 32, 33, 34, 37, 40, 41, 43, 44, 51, 58, 71, 85, 92, 94, 98, 103, 104, 106, 107, 110, 112, 116, 117, 121, 122, 125, 126, 129, 130, 131, 132, 133, 134, 137, 138, 141, 142, 143, 144, 145, 146, 148, 149, 153, 154, 156, 157, 158], "method": [1, 4, 25, 26, 27, 33, 34, 37, 41, 54, 55, 67, 68, 80, 81, 98, 110, 134, 141, 145, 147, 156, 158], "wai": [1, 4, 19, 25, 31, 32, 33, 34, 37, 40, 44, 56, 58, 69, 71, 82, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 125, 126, 128, 132, 133, 142, 150, 151, 154, 156, 157], "over": [1, 19, 25, 40, 133, 147, 151, 154, 156, 158], "indic": [1, 25, 27, 39, 49, 54, 55, 66, 67, 68, 79, 80, 81, 83, 94, 99, 100, 121, 122, 129, 130, 132, 133, 138, 142, 147, 148, 149, 154], "__len__": [1, 19, 25, 27, 28], "length": [1, 25, 27, 28, 44, 53, 59, 72, 86, 134, 138, 147, 156, 157], "paramet": [1, 5, 7, 8, 9, 11, 14, 17, 18, 19, 20, 21, 25, 28, 31, 32, 33, 34, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 48, 49, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 83, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 98, 100, 101, 103, 104, 105, 106, 107, 110, 112, 116, 117, 119, 121, 122, 126, 127, 132, 140, 147], "data_sourc": 1, "argument": [1, 4, 17, 19, 25, 34, 44, 58, 59, 71, 72, 85, 86, 98, 100, 117, 128, 129, 132, 141, 144, 147, 148, 149, 151, 157], "remov": [1, 8, 15, 80, 81, 129, 132, 133, 134, 138, 147, 157], "2": [1, 4, 14, 17, 24, 29, 32, 33, 36, 38, 40, 41, 43, 49, 51, 52, 58, 59, 66, 71, 72, 79, 80, 81, 85, 86, 89, 94, 98, 99, 101, 103, 105, 109, 117, 128, 130, 131, 132, 133, 134, 138, 139, 140, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "you": [1, 4, 15, 19, 25, 31, 32, 33, 34, 36, 37, 38, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 128, 129, 132, 134, 135, 138, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 151, 153, 154, 156, 157, 158], "mai": [1, 17, 128, 129, 132, 133, 134, 135, 140, 141, 144, 147, 148, 149, 151, 153, 154, 156], "still": [1, 132, 134, 147, 153, 156, 157], "have": [1, 4, 25, 26, 31, 32, 33, 34, 36, 37, 38, 40, 44, 58, 71, 80, 81, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 128, 129, 132, 133, 134, 140, 141, 142, 146, 147, 148, 151, 153, 154, 156, 157, 158], "custom": [1, 4, 25, 27, 33, 34, 37, 41, 147], "implement": [1, 4, 9, 19, 25, 27, 32, 33, 34, 37, 98, 129, 146, 147, 154, 156], "xdoctest": [1, 4], "skip": [1, 4, 32, 54, 55, 63, 67, 68, 76, 80, 81, 91, 133, 134, 135, 147, 149, 151, 153, 154], "accedingsequencelengthsampl": 1, "__init__": [1, 31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 133, 147], "none": [1, 2, 3, 4, 5, 7, 8, 9, 11, 13, 14, 16, 17, 19, 25, 26, 27, 28, 31, 32, 34, 36, 37, 38, 41, 43, 44, 45, 46, 48, 51, 52, 53, 54, 55, 57, 58, 60, 61, 63, 64, 66, 67, 68, 70, 71, 73, 74, 76, 77, 79, 80, 81, 84, 85, 86, 87, 88, 89, 91, 92, 97, 98, 100, 105, 107, 109, 110, 112, 113, 114, 115, 116, 117, 118, 119, 121, 122, 123, 124, 125, 126, 127, 132, 133, 138, 147, 148, 153, 157], "len": [1, 9, 25, 26, 66, 79, 94, 99, 132, 133, 134, 138, 147, 148, 149, 151, 156], "tensor": [1, 2, 4, 9, 13, 17, 33, 34, 37, 43, 44, 49, 50, 51, 53, 54, 55, 56, 57, 60, 61, 63, 64, 66, 67, 68, 69, 70, 71, 73, 74, 76, 77, 79, 80, 81, 82, 83, 84, 87, 88, 91, 92, 94, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 109, 112, 113, 116, 117, 121, 122, 133, 138, 147, 148, 156, 157], "yield": [1, 25, 27], "argsort": [1, 134], "tolist": [1, 151, 154], "accedingsequencelengthbatchsampl": 1, "chunk": 1, "The": [1, 4, 9, 14, 17, 19, 25, 26, 27, 28, 32, 36, 38, 39, 40, 45, 46, 49, 51, 52, 83, 98, 100, 101, 103, 110, 121, 122, 126, 127, 128, 129, 130, 131, 132, 135, 137, 139, 140, 141, 142, 146, 147, 148, 149, 151, 153, 154, 156, 157, 158], "isn": [1, 153], "strictli": [1, 17], "requir": [1, 4, 87, 129, 133, 134, 141, 142, 148, 150, 153, 156], "dataload": [1, 25, 27, 36, 38, 125, 126, 129, 130, 131, 147], "expect": [1, 17, 25, 27, 56, 59, 69, 72, 82, 86, 98, 129, 138, 141, 147, 153], "ani": [1, 4, 9, 17, 19, 25, 27, 28, 32, 98, 129, 130, 131, 133, 137, 139, 140, 141, 142, 147, 148, 153, 157], "calcul": [1, 9, 25, 27, 28, 39, 49, 59, 66, 72, 79, 80, 81, 86, 89, 94, 105, 129, 132, 133, 138, 141, 142, 144, 148, 149, 150, 151, 154, 156, 157, 158], "involv": [1, 147], "_load_dataset": 1, "liter": [1, 17], "neighbor": [1, 17, 36, 38, 51, 52, 54, 55, 60, 66, 67, 68, 73, 79, 80, 81, 87, 94, 97, 98, 101, 103, 121, 122, 133, 138, 141, 147, 148], "start_iter": 1, "os_environ_get_or_throw": 2, "setup": [2, 124, 132, 133, 140, 151, 153, 154, 155, 158], "config": [2, 4, 7, 8, 15, 17, 19, 25, 27, 28, 45, 46, 48, 119, 120, 123, 124, 126, 127, 128, 129, 130, 132, 133, 134, 139, 140, 142, 144, 149, 151, 154, 157, 158], "cleanup": 2, "get_rank": 2, "get_world_s": 2, "is_mast": [2, 157], "synchron": 2, "broadcast": 2, "src": [2, 19, 25, 70, 94, 128, 132, 134, 138, 140, 141, 147, 151, 157], "group": [2, 21, 134], "dist": [2, 37, 92, 104, 147], "world": [2, 147], "async_op": 2, "all_reduc": 2, "averag": [2, 36, 38, 110, 140], "all_gath": 2, "get_pars": [3, 157], "argpars": [3, 17], "argumentpars": 3, "add_core_arg": 3, "_graph_parallel_group": 4, "_data_parallel_group": 4, "ensure_div": 4, "b": [4, 17, 54, 55, 67, 68, 80, 81, 83, 94, 134, 142, 147, 151, 153, 156], "divide_and_check_no_remaind": 4, "setup_gp": 4, "cleanup_gp": 4, "get_dp_group": 4, "get_gp_group": 4, "get_dp_rank": 4, "get_gp_rank": 4, "get_dp_world_s": 4, "get_gp_world_s": 4, "pad_tensor": 4, "dim": [4, 70, 147], "target_s": 4, "trim_tensor": 4, "_split_tensor": 4, "contiguous_chunk": 4, "_reduc": 4, "ctx": [4, 157], "input": [4, 17, 33, 40, 42, 43, 44, 48, 54, 55, 58, 59, 67, 68, 71, 72, 82, 83, 85, 86, 87, 88, 91, 98, 106, 112, 119, 129, 130, 131, 132, 140, 141, 142, 146, 147, 156], "_split": 4, "_gather": 4, "_gather_with_pad": 4, "copytomodelparallelregion": 4, "arg": [4, 17, 19, 25, 26, 36, 38, 80, 81, 133, 147, 154, 157], "autograd": 4, "To": [4, 25, 26, 27, 33, 34, 37, 119, 128, 129, 130, 134, 140, 141, 144, 145, 147, 148, 149, 151, 153, 156, 157, 158, 159], "forward": [4, 31, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 49, 51, 52, 54, 55, 57, 58, 60, 61, 63, 64, 65, 67, 68, 70, 71, 73, 74, 76, 77, 78, 80, 81, 84, 85, 87, 88, 91, 92, 93, 97, 98, 100, 101, 103, 104, 106, 107, 112, 116, 117, 133, 140, 147], "backward": [4, 119], "Then": [4, 132, 133, 135, 151, 153, 158], "your": [4, 19, 25, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 128, 129, 130, 132, 135, 138, 140, 141, 142, 143, 144, 146, 150, 153, 154, 157], "op": 4, "call": [4, 9, 17, 31, 32, 33, 34, 37, 40, 44, 48, 58, 71, 85, 92, 98, 103, 104, 106, 107, 110, 112, 116, 117, 132, 133, 140, 142, 147, 156, 157, 158], "appli": [4, 19, 25, 34, 100, 147, 149], "do": [4, 9, 19, 32, 40, 98, 128, 132, 133, 134, 137, 141, 147, 151, 153, 154, 156, 157], "directli": [4, 19, 25, 27, 28, 57, 70, 84, 98, 128, 129, 130, 131, 139, 141, 146, 147, 153, 157], "ensur": [4, 36, 38, 64, 77, 80, 81, 92, 97, 98, 138, 141, 142, 147, 149], "correct": [4, 36, 38, 66, 79, 80, 81, 94, 140, 151, 153, 154], "best": [4, 132, 156], "perform": [4, 17, 36, 38, 43, 44, 49, 51, 128, 132, 141, 142, 147, 148, 151, 153, 154, 156], "make": [4, 19, 25, 27, 54, 55, 56, 67, 68, 69, 80, 81, 82, 97, 98, 129, 133, 135, 140, 141, 146, 149, 152, 153, 154, 156, 157, 158], "sure": [4, 56, 69, 82, 129, 135, 140, 146, 147, 151, 153, 154], "valid": [4, 15, 36, 38, 110, 125, 126, 129, 130, 131, 132, 141, 150], "gradcheck": 4, "extend": [4, 142, 154], "how": [4, 80, 81, 128, 132, 134, 136, 138, 139, 141, 143, 144, 145, 146, 147, 148, 149, 150, 153, 154, 156, 158], "env": [4, 135, 147], "torch_doctest_autograd": 4, "exp": [4, 100, 147], "staticmethod": 4, "result": [4, 9, 19, 25, 66, 79, 94, 110, 129, 132, 134, 140, 141, 144, 147, 152, 153, 154, 156, 158], "save_for_backward": 4, "grad_output": 4, "saved_tensor": 4, "output": [4, 32, 36, 38, 40, 43, 44, 45, 46, 49, 51, 52, 53, 54, 55, 57, 58, 60, 67, 68, 70, 71, 73, 80, 81, 83, 84, 85, 87, 91, 98, 101, 103, 125, 126, 127, 129, 130, 131, 132, 133, 134, 147, 153, 157, 158], "overridden": [4, 156], "There": [4, 19, 25, 128, 132, 133, 141, 147, 153, 154, 158], "two": [4, 17, 19, 25, 80, 81, 91, 117, 128, 132, 141, 142, 147, 151, 156, 158], "usag": [4, 8, 98, 147, 158], "combin": [4, 9, 36, 38, 57, 58, 70, 71, 84, 85, 132, 147, 153], "It": [4, 19, 54, 55, 67, 68, 83, 128, 132, 133, 134, 146, 147, 149, 151, 153, 154, 156, 157], "must": [4, 9, 19, 25, 27, 28, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 128, 132, 138, 140, 141, 147, 148, 149, 156, 157], "accept": [4, 25, 27, 33, 34, 37], "context": 4, "first": [4, 9, 15, 17, 21, 54, 55, 59, 63, 67, 68, 72, 76, 80, 81, 86, 87, 91, 92, 98, 129, 132, 134, 135, 142, 144, 146, 148, 151, 153, 154, 156, 157, 158], "follow": [4, 24, 32, 48, 98, 129, 130, 131, 132, 134, 135, 137, 138, 139, 140, 141, 142, 147, 148, 151, 154, 159], "number": [4, 9, 11, 14, 15, 19, 21, 25, 27, 28, 32, 36, 38, 39, 40, 43, 44, 45, 46, 49, 51, 52, 53, 54, 55, 57, 58, 60, 63, 66, 67, 68, 70, 71, 73, 76, 79, 80, 81, 83, 84, 85, 87, 91, 92, 93, 94, 97, 98, 99, 100, 101, 103, 105, 110, 121, 122, 126, 127, 128, 129, 130, 131, 133, 141, 142, 146, 148, 151, 154, 158], "other": [4, 19, 25, 31, 32, 33, 34, 36, 37, 38, 40, 44, 54, 55, 58, 67, 68, 71, 80, 81, 85, 92, 97, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 128, 129, 132, 133, 137, 147, 148, 149, 151, 153, 156, 157, 158], "separ": [4, 17, 34, 36, 38, 40, 49, 83, 98, 100, 132, 141, 151], "setup_context": 4, "tupl": [4, 14, 15, 17, 25, 26, 57, 66, 70, 73, 79, 87, 94, 98, 129, 130, 147, 156, 157], "longer": [4, 146, 147], "instead": [4, 14, 21, 83, 94, 129, 132, 133, 138, 141, 144, 147, 149, 151, 154, 157], "also": [4, 25, 27, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 128, 131, 132, 133, 134, 135, 139, 141, 142, 145, 147, 148, 153, 154, 156, 157, 158], "overrid": [4, 17, 147, 157], "handl": [4, 142, 158], "up": [4, 17, 59, 72, 80, 81, 86, 89, 135, 146, 147, 149, 151, 153, 154, 156], "object": [4, 8, 11, 16, 18, 19, 25, 27, 28, 48, 110, 114, 117, 119, 121, 122, 130, 132, 138, 149, 150, 154, 156, 157], "store": [4, 8, 17, 19, 20, 21, 25, 26, 27, 28, 110, 129, 131, 132, 138, 141, 147, 153, 158], "arbitrari": [4, 17, 138, 146, 147, 149], "retriev": [4, 8, 132, 134, 156], "dure": [4, 36, 38, 43, 49, 51, 98, 101, 103, 105, 147, 149, 151], "should": [4, 9, 15, 17, 19, 25, 27, 31, 32, 33, 34, 36, 37, 38, 40, 44, 54, 55, 58, 67, 68, 71, 80, 81, 85, 92, 98, 103, 104, 106, 107, 110, 112, 116, 117, 133, 134, 142, 145, 146, 147, 151, 153, 154, 156, 157], "though": [4, 132, 133, 134, 151, 153], "current": [4, 19, 45, 46, 110, 126, 127, 133, 141, 142, 147, 153, 158], "enforc": [4, 17, 80, 81, 133], "save": [4, 11, 25, 26, 45, 46, 110, 121, 122, 125, 126, 127, 128, 132, 134, 140, 141, 142, 147, 148, 151, 156, 157], "either": [4, 5, 19, 25, 36, 38, 59, 66, 72, 79, 86, 94, 99, 114, 121, 122, 141, 147, 156], "intend": [4, 19, 25, 138, 147], "equival": [4, 154], "vjp": 4, "save_for_forward": 4, "jvp": 4, "formula": [4, 59, 72, 86, 132, 134, 142, 157], "differenti": [4, 98, 100], "oper": [4, 8, 25, 26, 44, 70, 98, 140, 158], "automat": [4, 45, 46, 98, 101, 103, 105, 126, 127, 132, 133, 142, 144, 147], "mani": [4, 19, 25, 26, 27, 28, 59, 72, 86, 128, 133, 134, 143, 147, 149, 151, 153, 154, 156], "non": [4, 19, 25, 27, 49, 51, 101, 103, 129, 140, 146, 147, 154], "were": [4, 129, 139, 147, 149, 158], "each": [4, 17, 19, 25, 32, 36, 38, 39, 43, 49, 51, 54, 55, 59, 66, 67, 68, 72, 79, 82, 83, 86, 87, 94, 98, 99, 100, 121, 122, 128, 129, 130, 131, 132, 133, 138, 139, 141, 142, 145, 147, 149, 151, 153, 156, 158], "gradient": [4, 7, 54, 55, 57, 67, 68, 70, 80, 81, 84, 147, 149], "w": [4, 56, 69, 82, 94, 142, 147, 149, 153, 157], "r": [4, 8, 59, 66, 72, 79, 86, 94, 129, 130, 132, 134, 142, 147, 149, 151, 153, 156], "valu": [4, 7, 8, 15, 17, 21, 36, 38, 49, 64, 77, 80, 81, 82, 83, 87, 92, 93, 98, 114, 117, 121, 122, 129, 130, 132, 133, 140, 142, 147, 149, 152, 154, 156, 157], "correspond": [4, 11, 19, 25, 26, 43, 82, 121, 122, 129, 130, 132, 141, 147, 148, 149, 156, 158], "If": [4, 8, 11, 14, 17, 19, 25, 36, 38, 43, 49, 54, 55, 57, 59, 67, 68, 70, 72, 80, 81, 84, 86, 97, 98, 100, 110, 119, 128, 129, 133, 134, 138, 140, 141, 142, 146, 147, 148, 149, 151, 153, 154, 156, 157], "grad": [4, 17], "just": [4, 25, 26, 45, 46, 126, 127, 128, 133, 134, 138, 143, 147, 149, 151, 153, 154], "needs_input_grad": 4, "boolean": [4, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 129, 147, 149], "repres": [4, 25, 27, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 147, 149, 158], "whether": [4, 5, 11, 17, 31, 32, 33, 34, 36, 37, 38, 39, 40, 44, 49, 54, 55, 58, 65, 66, 67, 68, 71, 78, 79, 80, 81, 83, 85, 91, 92, 93, 94, 98, 99, 100, 103, 104, 106, 107, 110, 112, 116, 117, 129, 137, 141, 147, 149], "need": [4, 8, 9, 17, 19, 25, 45, 46, 126, 127, 128, 132, 134, 138, 141, 147, 151, 153, 154, 156, 157, 158], "e": [4, 5, 7, 17, 19, 25, 56, 57, 64, 69, 70, 77, 82, 83, 84, 92, 98, 100, 123, 124, 128, 129, 132, 133, 135, 139, 140, 147, 151, 156, 157], "g": [4, 5, 7, 19, 25, 98, 128, 132, 133, 135, 147, 151], "comput": [4, 19, 25, 27, 28, 36, 38, 51, 52, 59, 72, 86, 98, 100, 101, 103, 110, 128, 129, 131, 134, 136, 140, 142, 143, 147, 148, 151, 153, 156], "reducefrommodelparallelregion": 4, "scattertomodelparallelregion": 4, "gatherfrommodelparallelregion": 4, "copy_to_model_parallel_region": 4, "reduce_from_model_parallel_region": 4, "scatter_to_model_parallel_region": 4, "gather_from_model_parallel_region": 4, "tune_report": 5, "train_metr": 5, "val_metr": [5, 125, 126, 157], "test_metr": 5, "metric_to_opt": 5, "val_loss": 5, "min_max": 5, "min": [5, 98, 132, 134, 147, 151, 154, 157], "wrapper": [5, 100], "tune": [5, 134, 145, 147, 153, 155, 156, 158], "report": [5, 132, 146, 152], "dict": [5, 9, 17, 18, 19, 25, 26, 27, 28, 45, 46, 48, 54, 55, 64, 65, 67, 68, 77, 78, 80, 81, 83, 92, 93, 97, 98, 109, 110, 117, 119, 125, 126, 127], "info": [5, 34, 51, 52, 101, 103, 121, 122, 134, 147, 150, 157], "step": [5, 7, 11, 13, 48, 110, 119, 129, 132, 138, 142, 144, 148, 149, 150, 151, 154, 157], "metric": [5, 45, 46, 48, 109, 119, 125, 126, 127, 132, 146, 147, 154, 157], "val": [5, 15, 17, 125, 126, 127, 128, 129, 131, 139, 140, 141, 147, 154, 155], "option": [5, 14, 17, 19, 25, 27, 28, 32, 41, 45, 46, 80, 81, 87, 98, 100, 107, 121, 122, 126, 127, 128, 132, 133, 138, 140, 141, 148, 150], "test": [5, 15, 19, 25, 128, 129, 130, 131, 134, 135, 138, 140, 141, 149, 151, 155], "default": [5, 8, 14, 19, 25, 27, 28, 32, 45, 46, 54, 55, 64, 67, 68, 77, 80, 81, 92, 98, 100, 119, 121, 122, 126, 127, 132, 133, 134, 140, 141, 142, 147, 153, 154, 156], "max": [5, 11, 17, 98, 134, 147, 149], "determin": [5, 17, 121, 122, 129, 132, 133, 140, 153], "minim": [5, 147, 157], "maxim": 5, "label_metric_dict": 5, "metric_dict": 5, "split": [5, 7, 15, 125, 126, 127, 129, 130, 131, 133, 134, 138, 139, 141, 147, 151, 154, 155], "abc": [7, 17, 19, 109, 110, 121, 122, 125, 126], "interfac": [7, 9, 132, 147], "variou": [7, 8, 129, 131, 139, 146, 147], "log": [7, 17, 45, 46, 64, 77, 92, 126, 127, 132, 138, 141, 147, 151, 157], "wandb": [7, 8, 45, 46, 125, 126, 127, 132, 134, 147, 157], "tensorboard": [7, 132, 134, 141, 147, 157], "etc": [7, 17, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 129, 146], "abstract": [7, 19, 25, 27, 31, 32, 124, 125, 126], "watch": [7, 151], "monitor": [7, 141], "update_dict": 7, "some": [7, 15, 54, 55, 67, 68, 80, 81, 97, 98, 121, 122, 132, 134, 140, 141, 143, 147, 149, 151, 153, 158, 159], "log_plot": 7, "plot": [7, 132, 134, 144, 149, 152, 153, 156], "mark_preempt": 7, "wandblogg": [7, 8], "caption": 7, "tensorboardlogg": 7, "borrow": [8, 32, 146], "facebookresearch": [8, 146], "pythia": 8, "central": [8, 158], "truth": 8, "inspir": [8, 89, 147], "redux": 8, "": [8, 19, 25, 66, 79, 80, 81, 83, 94, 117, 128, 129, 130, 131, 132, 134, 138, 139, 141, 142, 145, 146, 147, 149, 151, 153, 156, 157, 158], "concept": [8, 157], "global": [8, 66, 79, 94, 99, 100], "maintain": [8, 110, 147, 149], "map": [8, 17, 19, 25, 27, 44, 53, 83, 98, 114, 117, 147], "inform": [8, 15, 19, 25, 33, 34, 37, 121, 122, 128, 132, 138, 142, 147, 148, 149, 153, 154, 156, 158], "uniqu": [8, 54, 55, 67, 68, 121, 122, 129, 138, 140, 141, 142, 147, 148, 154], "kei": [8, 15, 17, 18, 25, 26, 27, 28, 66, 79, 109, 117, 121, 122, 125, 126, 129, 130, 132, 133, 134, 138, 147, 156, 157, 158], "special": 8, "regist": [8, 31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "differ": [8, 17, 19, 25, 34, 40, 80, 81, 83, 98, 129, 131, 132, 134, 135, 140, 141, 147, 149, 151, 153, 156, 157, 158], "kind": [8, 32, 98, 133, 134, 137, 147, 151, 153, 156, 158], "import": [8, 17, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 132, 133, 134, 135, 138, 140, 142, 144, 148, 149, 151, 153, 154, 156, 157, 158], "register_model": [8, 147], "nesteddict": 8, "_get_absolute_map": 8, "name": [8, 9, 15, 17, 18, 19, 25, 27, 28, 34, 45, 46, 54, 55, 57, 58, 63, 64, 65, 67, 68, 70, 71, 76, 77, 78, 80, 81, 82, 84, 85, 91, 92, 93, 95, 96, 98, 114, 116, 117, 125, 126, 127, 129, 132, 133, 135, 142, 157, 158], "which": [8, 9, 14, 17, 19, 25, 27, 40, 59, 72, 80, 81, 83, 86, 94, 98, 110, 128, 129, 132, 133, 134, 139, 140, 141, 142, 147, 149, 151, 153, 154, 156, 157, 158], "classvar": [8, 9, 109], "classmethod": 8, "register_task": 8, "new": [8, 17, 18, 80, 81, 117, 129, 132, 135, 136, 143, 147, 150, 154, 158], "param": [8, 11, 19, 25, 27, 147, 149], "basetask": [8, 123, 124], "traintask": [8, 123, 124, 157], "register_dataset": 8, "basedataset": 8, "qm9": [8, 147, 149], "cgcnnconv": 8, "cgcnn": [8, 21, 23, 24, 134, 139, 144, 146, 158], "register_logg": 8, "register_train": 8, "active_discoveri": 8, "activediscoverytrain": 8, "obj": [8, 16, 48, 119, 156, 157], "item": [8, 147, 156, 157], "__import_error": 8, "mapping_nam": 8, "runtimeerror": [8, 123, 124, 133, 157], "get_class": 8, "get_task_class": 8, "get_dataset_class": 8, "get_model_class": 8, "get_logger_class": 8, "get_trainer_class": 8, "get": [8, 17, 19, 25, 26, 44, 53, 54, 55, 67, 68, 83, 86, 98, 129, 132, 134, 140, 146, 147, 150, 152, 153, 154, 155, 156, 157, 158], "no_warn": 8, "string": [8, 9, 15, 17, 19, 25, 33, 34, 37, 59, 72, 86, 98, 100, 121, 122, 132, 158], "whose": [8, 17], "warn": [8, 19, 25, 118, 132, 134, 144, 147, 149, 151, 153, 154, 156, 157], "doesn": [8, 153], "exist": [8, 9, 15, 17, 19, 59, 72, 80, 81, 86, 95, 96, 97, 98, 128, 129, 140, 141, 147], "intern": [8, 17, 129], "unregist": 8, "ocp": [9, 15, 17, 19, 25, 26, 45, 46, 121, 122, 125, 126, 127, 128, 129, 132, 134, 135, 138, 139, 142, 144, 145, 150, 154, 156, 157, 159], "simul": [9, 143, 144, 147, 149, 158], "environ": [9, 25, 27, 134, 135, 144, 147, 149, 154, 156], "ASE": [9, 11, 19, 25, 26, 121, 122, 129, 133, 147, 148, 149, 151, 154, 158], "batch_to_atom": 9, "ocpcalcul": [9, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "config_yml": [9, 157], "checkpoint_path": [9, 15, 125, 126, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157, 158], "model_nam": [9, 95, 96], "local_cach": [9, 95, 96, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157, 158], "cutoff": [9, 31, 32, 37, 51, 52, 54, 55, 64, 67, 68, 77, 80, 81, 83, 92, 97, 98, 100, 101, 103, 121, 122, 129, 132, 147, 148, 157], "6": [9, 17, 32, 54, 55, 66, 67, 68, 79, 80, 81, 94, 97, 98, 99, 100, 101, 103, 107, 121, 122, 129, 132, 133, 134, 135, 138, 139, 140, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "max_neighbor": [9, 31, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 132, 147, 157], "50": [9, 17, 54, 55, 67, 68, 80, 81, 89, 92, 97, 98, 100, 104, 107, 132, 134, 138, 141, 142, 144, 147, 148, 149, 151, 154, 157, 158], "cpu": [9, 17, 45, 46, 98, 102, 125, 126, 127, 128, 132, 133, 134, 140, 141, 144, 151, 153, 154, 157], "seed": [9, 15, 45, 46, 125, 126, 127, 132, 133, 134, 140, 144, 147, 151, 153, 154, 156, 157], "ase": [9, 15, 19, 25, 26, 121, 122, 128, 129, 132, 133, 134, 138, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "A": [9, 17, 32, 80, 81, 98, 100, 121, 122, 129, 131, 132, 133, 134, 137, 138, 141, 142, 146, 147, 148, 149, 154, 155, 158], "rais": [9, 15, 19, 25, 133], "propertynotimplementederror": [9, 133], "ask": [9, 142], "so": [9, 17, 19, 25, 32, 36, 38, 43, 49, 51, 52, 80, 81, 82, 94, 97, 98, 121, 122, 132, 134, 137, 140, 147, 151, 153, 154, 156, 157], "stress": [9, 121, 122, 132, 146], "been": [9, 25, 26, 132, 133, 134, 138, 143, 144, 146, 147, 151, 153, 154, 158], "get_stress": 9, "achiev": [9, 147], "simpli": [9, 19, 25, 128, 156, 157], "includ": [9, 17, 19, 25, 32, 54, 55, 67, 68, 98, 121, 122, 128, 129, 132, 134, 137, 141, 142, 143, 147, 150, 151, 153, 158], "implemented_properti": 9, "member": 9, "These": [9, 94, 128, 129, 132, 133, 141, 147, 151, 153, 158], "standard": [9, 125, 126, 141, 147, 153], "energi": [9, 13, 17, 19, 21, 25, 27, 28, 36, 38, 45, 46, 51, 54, 55, 57, 67, 68, 70, 80, 81, 84, 89, 100, 121, 122, 126, 127, 128, 132, 134, 139, 142, 144, 146, 148, 151, 154, 156, 157, 158], "forc": [9, 11, 13, 17, 19, 25, 27, 28, 36, 38, 45, 46, 51, 52, 54, 55, 57, 64, 67, 68, 70, 77, 80, 81, 84, 89, 92, 100, 101, 103, 121, 122, 126, 127, 128, 132, 134, 142, 146, 148, 153, 156, 157, 158], "dipol": 9, "charg": [9, 32, 98, 132, 134, 137, 147, 157, 158], "magmom": 9, "load_checkpoint": [9, 125, 126, 147], "checkpoint": [9, 15, 17, 36, 38, 95, 96, 125, 126, 129, 133, 134, 140, 141, 144, 153, 154, 157], "load": [9, 19, 25, 26, 27, 28, 36, 38, 110, 114, 125, 126, 128, 129, 130, 132, 133, 134, 140, 141, 144, 151, 153, 156, 158], "system_chang": [9, 133], "what": [9, 132, 133, 144, 147, 149, 151, 153, 154, 156, 157, 158], "chang": [9, 17, 34, 128, 132, 140, 141, 146, 147, 150, 151, 153, 154, 156, 157], "sinc": [9, 25, 26, 27, 28, 36, 38, 44, 54, 55, 67, 68, 80, 81, 97, 98, 132, 140, 142, 146, 151, 153, 154], "last": [9, 19, 25, 39, 49, 98, 128, 132, 133, 157], "six": [9, 142], "posit": [9, 14, 17, 66, 79, 94, 100, 121, 122, 132, 133, 138, 141, 142, 144, 146, 147, 149, 153], "cell": [9, 17, 83, 109, 121, 122, 129, 132, 133, 138, 142, 148, 151, 156, 157], "pbc": [9, 17, 66, 79, 94, 109, 121, 122, 132, 134, 142, 151, 153, 156, 157], "initial_charg": [9, 151], "initial_magmom": [9, 151], "dictionari": [9, 15, 17, 18, 19, 25, 83, 114, 117, 129, 130, 132, 147, 156], "like": [9, 21, 41, 48, 132, 133, 134, 140, 147, 149, 151, 153, 154, 156, 157, 158], "shown": [9, 133, 147], "dummi": 9, "np": [9, 121, 122, 132, 133, 134, 147, 149, 151, 154, 156, 157], "zero": [9, 19, 59, 72, 86, 147, 149], "3": [9, 32, 48, 51, 52, 66, 79, 80, 81, 94, 99, 100, 129, 130, 132, 133, 134, 135, 138, 140, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "miss": [9, 25, 26, 131], "fmax": [11, 13, 132, 134, 138, 144, 147, 148, 149, 151, 153, 154, 157], "float": [11, 13, 14, 17, 19, 25, 29, 32, 33, 34, 36, 37, 38, 39, 40, 48, 49, 51, 52, 54, 55, 59, 64, 67, 68, 72, 77, 80, 81, 86, 89, 92, 94, 97, 98, 100, 101, 103, 104, 105, 106, 107, 109, 110, 116, 117, 121, 122, 147, 148, 156], "relax_opt": [11, 141, 147], "save_full_traj": [11, 13], "cuda": [11, 13, 89, 132, 133, 134, 135, 144, 147, 151, 153, 154, 156, 157, 158], "early_stop_batch": [11, 13], "run": [11, 13, 15, 45, 46, 54, 55, 67, 68, 98, 119, 123, 124, 125, 126, 127, 128, 129, 133, 134, 138, 139, 141, 142, 144, 145, 146, 148, 149, 150, 152, 153, 155, 156, 158], "ml": [11, 129, 136, 141, 146, 152, 153], "termin": [11, 132, 134, 157], "system": [11, 15, 132, 133, 135, 138, 141, 144, 147, 148, 149, 152, 154, 156, 157, 158], "bigger": 11, "than": [11, 17, 25, 26, 34, 128, 129, 140, 141, 147, 148, 153, 154, 156], "out": [11, 17, 32, 70, 83, 94, 98, 126, 127, 129, 130, 131, 133, 137, 141, 143, 147, 148, 149, 154, 156, 157, 159], "full": [11, 19, 25, 141, 147, 149], "trajectori": [11, 25, 27, 28, 131, 138, 141, 148, 152], "final": [11, 19, 25, 54, 55, 57, 63, 67, 68, 70, 76, 80, 81, 84, 129, 135, 140, 141, 142, 144, 147, 149, 151, 154, 158], "frame": [11, 19, 25, 129, 138, 147, 148, 149], "lbfg": [13, 147, 149], "torchcalc": 13, "maxstep": [13, 141, 147], "01": [13, 17, 134, 138, 139, 142, 145, 147, 148, 149, 153, 154, 156, 157], "memori": [13, 19, 25, 51, 52, 98, 101, 103, 128, 129, 133, 134, 141, 147, 153, 158], "100": [13, 19, 25, 27, 45, 46, 125, 126, 127, 134, 138, 139, 142, 144, 147, 148, 149, 151, 153, 154, 157, 158], "damp": [13, 141, 147], "25": [13, 134, 138, 142, 147, 149, 151, 153, 154, 157, 158], "alpha": [13, 36, 38, 49, 50, 53, 105, 132, 141, 147], "force_consist": [13, 133], "traj_dir": [13, 17, 141, 147], "traj_nam": 13, "get_energy_and_forc": 13, "apply_constraint": [13, 133, 147, 149], "set_posit": 13, "updat": [13, 15, 17, 57, 70, 84, 89, 91, 98, 109, 110, 129, 132, 133, 134, 141, 142, 144, 147, 149, 156, 157], "update_mask": 13, "check_converg": 13, "write": [13, 15, 121, 122, 128, 132, 134, 142, 147, 148, 149], "update_graph": 13, "randomrot": 14, "degre": [14, 36, 38, 39, 40, 43, 44, 49, 51, 52, 53, 59, 64, 72, 77, 86, 92, 101, 103, 105, 148, 154], "ax": [14, 144, 147, 149, 151, 153, 156], "rotat": [14, 39, 44, 49, 53, 101, 103, 105, 133, 144, 147, 149, 153, 158], "node": [14, 36, 38, 39, 49, 76, 98, 140, 141, 147, 148, 158], "around": [14, 100, 121, 122, 148, 156, 157, 158], "specif": [14, 25, 26, 44, 53, 98, 132, 135, 141, 142, 147, 149, 158], "axi": [14, 94, 98, 133, 138, 147, 148, 149, 151], "randomli": [14, 132], "factor": [14, 54, 55, 59, 67, 68, 72, 80, 81, 86, 114, 132, 134, 147, 153, 157], "within": [14, 36, 38, 49, 121, 122, 147, 148, 149, 154], "interv": [14, 149], "angl": [14, 50, 53, 54, 55, 63, 67, 68, 76, 80, 81, 91, 94, 105, 147], "mathrm": 14, "__repr__": [14, 40, 41, 44, 97, 98], "repr": [14, 40, 41, 44, 97, 98], "ocp_root": [15, 147], "instal": [15, 144, 147, 158], "packag": [15, 132, 133, 134, 135, 138, 141, 142, 144, 147, 149, 151, 153, 154, 156, 157], "ocp_main": [15, 132, 134], "main": [15, 19, 34, 83, 115, 132, 133, 135, 139, 140, 141, 147, 151, 154, 156, 157, 158], "py": [15, 19, 40, 129, 132, 133, 138, 140, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157], "describe_ocp": [15, 158], "print": [15, 33, 34, 37, 45, 46, 126, 127, 132, 133, 134, 138, 140, 142, 144, 147, 148, 149, 151, 153, 154, 156, 158], "could": [15, 25, 27, 54, 55, 67, 68, 129, 132, 133, 134, 142, 147, 149, 153, 156, 158], "debug": [15, 45, 46, 126, 127, 140, 145, 147, 153, 157, 158], "train_test_val_split": [15, 132, 157], "ase_db": [15, 128, 132, 134, 157], "ttv": 15, "8": [15, 32, 36, 38, 51, 52, 66, 79, 89, 94, 99, 101, 103, 129, 132, 134, 139, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157], "db": [15, 19, 25, 26, 121, 122, 128, 132, 134, 138, 147, 151, 157], "42": [15, 132, 142, 145, 147, 149, 154, 156, 157], "fraction": 15, "filenam": [15, 19, 25, 26, 128, 157], "except": [15, 36, 38, 57, 63, 70, 76, 157], "delet": [15, 25, 26, 132, 133, 134, 157], "them": [15, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 129, 131, 132, 133, 134, 140, 143, 147, 149, 151, 154, 156, 158], "integ": [15, 25, 26, 27, 28, 121, 122, 129, 130, 132], "random": [15, 19, 25, 45, 46, 56, 69, 82, 126, 127, 128, 129, 130, 132, 133, 134, 138, 147, 151, 154], "absolut": [15, 17, 132, 147, 149], "generate_yml_config": [15, 132, 134, 157], "yml": [15, 48, 132, 133, 134, 135, 140, 141, 147, 157], "pop": 15, "dot": 15, "notat": 15, "_t": 16, "assert_is_inst": 16, "cl": [16, 142], "none_throw": 16, "msg": 16, "pyg2_data_transform": 17, "re": [17, 33, 34, 36, 37, 38, 49, 129, 132, 133, 134, 142, 144, 147, 151, 153, 154], "pyg": [17, 135], "later": [17, 110, 113, 132, 141, 147, 151, 154, 156, 158], "older": [17, 146, 153], "format": [17, 128, 129, 130, 131, 133, 141, 147, 149, 153], "convert": [17, 31, 32, 33, 34, 37, 39, 40, 44, 49, 51, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 130, 133, 140, 141, 147, 149, 150, 153, 156], "save_checkpoint": [17, 157], "checkpoint_dir": [17, 132, 147, 157], "checkpoint_fil": [17, 125, 126, 157], "pt": [17, 125, 126, 132, 133, 134, 140, 141, 142, 144, 147, 151, 153, 157, 158], "complet": [17, 135, 141, 147], "warmup_lr_lambda": [17, 119], "current_step": [17, 48], "optim_config": 17, "learn": [17, 48, 56, 64, 69, 77, 82, 92, 119, 128, 132, 134, 141, 142, 144, 146, 147, 158], "rate": [17, 34, 36, 38, 48, 49, 119, 132, 141, 142, 147, 149], "multipli": [17, 40, 43, 48, 87, 147], "till": 17, "warmup_step": [17, 147], "linearli": 17, "increas": [17, 66, 79, 94, 99, 147, 151], "initial_lr": 17, "lr_gamma": 17, "time": [17, 19, 25, 51, 52, 101, 103, 110, 132, 133, 134, 141, 144, 147, 149, 151, 153, 154, 157], "mileston": 17, "cross": [17, 94], "print_cuda_usag": 17, "conditional_grad": [17, 133], "dec": [17, 133], "enabl": [17, 89, 132, 133, 134, 143, 144, 147, 151, 153, 154, 157, 158], "disabl": [17, 19, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "depend": [17, 19, 98, 129, 132, 133, 135, 141, 142, 147, 153], "predict": [17, 36, 38, 54, 55, 57, 67, 68, 70, 80, 81, 84, 97, 98, 100, 109, 125, 126, 127, 128, 132, 133, 134, 139, 142, 146, 148, 149, 150, 151, 153, 157, 158], "being": [17, 48, 129, 141, 142, 149, 158], "made": [17, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 132, 133, 136, 158], "plot_histogram": 17, "xlabel": [17, 132, 134, 138, 147, 149, 153, 156], "ylabel": [17, 132, 134, 147, 149, 153, 156], "titl": [17, 129, 130, 131, 132, 139, 142, 146, 147, 149], "collat": [17, 121, 122, 147, 157], "add_edge_distance_to_graph": 17, "dmin": 17, "dmax": 17, "num_gaussian": [17, 92, 100, 103, 104, 133, 147], "_import_local_fil": 17, "project_root": 17, "python": [17, 41, 114, 129, 130, 132, 133, 134, 135, 138, 140, 141, 142, 144, 145, 147, 149, 151, 153, 154, 155, 156, 158], "project": [17, 36, 38, 49, 54, 55, 60, 63, 67, 68, 73, 76, 80, 81, 91, 94, 129, 130, 132, 133, 138, 139, 141, 148, 150, 156, 158], "folder": [17, 19, 25, 27, 28, 128, 129, 140, 147], "setup_experimental_import": 17, "select": [17, 19, 25, 26, 36, 38, 80, 81, 98, 128, 133, 134, 142, 158], "experiment": [17, 153], "subdirectori": 17, "present": [17, 25, 26, 54, 55, 67, 68, 80, 81, 97, 98, 130, 133, 141, 147], "read": [17, 19, 25, 128, 129, 132, 138, 139, 142, 146, 148, 151, 154], "subsubdirectori": 17, "_get_project_root": 17, "setup_import": [17, 147], "dict_set_recurs": 17, "key_sequ": 17, "parse_valu": 17, "pars": [17, 152], "possibl": [17, 19, 25, 54, 55, 67, 68, 83, 128, 129, 132, 141, 142, 143, 147, 151, 153, 157], "fallback": 17, "create_dict_from_arg": 17, "sep": 17, "nest": [17, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 141, 156, 157], "consol": 17, "level": [17, 132, 141, 142, 147, 157], "load_config": 17, "previous_includ": 17, "build_config": [17, 157], "args_overrid": [17, 157], "create_grid": 17, "base_config": 17, "sweep_fil": 17, "save_experiment_log": 17, "job": [17, 133, 147], "get_pbc_dist": [17, 147], "po": [17, 32, 89, 100, 138, 147, 148, 153], "edge_index": [17, 32, 36, 38, 39, 44, 49, 51, 52, 53, 54, 55, 67, 68, 83, 88, 91, 97, 98, 101, 103, 133, 138, 147, 148], "cell_offset": [17, 32, 54, 55, 67, 68, 83, 94, 97, 98, 99, 138, 147, 148], "return_offset": [17, 147], "return_distance_vec": [17, 147], "radius_graph_pbc": 17, "radiu": [17, 21, 80, 81, 121, 122, 138, 147, 148], "max_num_neighbors_threshold": [17, 94], "enforce_max_neighbors_strictli": [17, 31, 36, 38, 80, 81, 134, 139, 144, 158], "get_max_neighbors_mask": 17, "natom": [17, 57, 61, 66, 70, 74, 76, 79, 80, 81, 84, 88, 94, 112, 132, 134, 138, 147, 148, 157], "index": [17, 19, 25, 26, 27, 41, 66, 70, 79, 94, 98, 99, 121, 122, 128, 129, 132, 135, 138, 147, 148, 149, 154, 156], "atom_dist": [17, 94], "degeneracy_toler": 17, "enforce_max_strictli": 17, "give": [17, 66, 79, 94, 143, 145, 147], "mask": [17, 54, 55, 67, 68, 80, 81, 94, 97, 98, 153], "filter": [17, 19, 25, 94, 100, 128, 138, 147, 151], "edg": [17, 36, 38, 39, 43, 49, 51, 52, 54, 55, 57, 60, 61, 63, 66, 67, 68, 70, 73, 74, 76, 79, 80, 81, 83, 84, 87, 88, 91, 94, 97, 98, 100, 121, 122, 129, 133, 138, 148, 158], "most": [17, 19, 25, 26, 94, 98, 128, 132, 133, 134, 142, 147, 151, 153, 157, 158], "assum": [17, 19, 25, 33, 40, 128, 142, 147, 154], "sort": [17, 25, 26, 94], "choic": [17, 134, 147], "between": [17, 19, 25, 36, 38, 51, 52, 66, 79, 80, 81, 82, 83, 94, 101, 103, 121, 122, 133, 140, 147, 148, 151, 153, 158], "degener": [17, 36, 38, 80, 81], "lead": [17, 134, 147], "undesir": 17, "behavior": [17, 19], "bulk": [17, 80, 81, 129, 130, 133, 134, 138, 147, 148, 149, 151, 153, 154], "invari": [17, 36, 38, 39, 43, 49, 51, 52, 98, 158], "unit": [17, 51, 52, 57, 58, 59, 66, 70, 71, 72, 79, 83, 84, 85, 86, 94, 101, 103, 129, 142], "degeneraci": 17, "toler": 17, "help": [17, 19, 25, 121, 122, 134, 136, 145, 147, 149, 158], "prevent": [17, 40, 56, 69, 80, 81, 82, 89, 147, 149, 154], "sudden": 17, "small": [17, 19, 25, 128, 131, 133, 134, 147, 153, 154, 156], "round": [17, 154], "error": [17, 19, 132, 133, 134, 142, 153, 157], "slab": [17, 129, 130, 133, 142, 144, 147, 149, 152, 153, 158], "temperatur": 17, "get_pruned_edge_idx": 17, "num_atom": [17, 31, 32, 36, 38, 51, 52, 54, 55, 63, 67, 68, 76, 80, 81, 83, 87, 88, 91, 94, 97, 98, 99, 100, 101, 103, 132, 133, 147, 157], "max_neigh": [17, 121, 122, 138, 147, 148], "1000000000": 17, "merge_dict": 17, "dict1": 17, "dict2": 17, "recurs": [17, 19, 25, 128], "merg": [17, 32, 54, 55, 67, 68, 98, 135, 137, 147, 151], "itself": [17, 147, 149], "doe": [17, 54, 55, 59, 67, 68, 72, 86, 95, 96, 133, 134, 141, 147, 148, 149], "modifi": [17, 26, 32, 98, 129, 137, 145, 147, 156], "copi": [17, 32, 54, 55, 67, 68, 98, 110, 137, 142, 147, 151, 154], "addition": [17, 138, 147, 150], "detect": [17, 147], "duplic": [17, 80, 81, 154], "adapt": [17, 66, 79, 94, 99, 156, 158], "tum": 17, "daml": 17, "seml": 17, "second": [17, 87, 132, 134, 135, 147, 151, 153, 156, 158], "share": [17, 36, 38, 49, 83, 158], "same": [17, 25, 27, 28, 34, 36, 38, 40, 49, 83, 94, 98, 110, 129, 134, 140, 141, 142, 147, 148, 149, 153, 154, 156], "return_dict": 17, "severitylevelbetween": [17, 157], "min_level": 17, "max_level": 17, "instanc": [17, 19, 25, 147], "logrecord": 17, "handler": 17, "record": [17, 159], "desir": [17, 151, 158], "allow": [17, 19, 25, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 94, 98, 103, 104, 106, 107, 112, 116, 117, 132, 147, 148, 153, 157], "event": [17, 32, 98, 137, 147], "below": [17, 94, 129, 132, 133, 134, 138, 141, 142, 147, 149, 153, 154, 157], "certain": [17, 19, 147, 149], "point": [17, 25, 27, 28, 130, 131, 132, 134, 141, 147, 148, 149, 151, 153, 156, 158], "hierarchi": 17, "d": [17, 39, 44, 49, 53, 64, 77, 80, 81, 83, 92, 117, 132, 134, 147, 153, 156, 157], "bb": 17, "empti": [17, 117, 156], "specifi": [17, 18, 19, 25, 48, 83, 98, 119, 130, 133, 134, 140, 141, 147, 153, 156, 157], "otherwis": [17, 32, 36, 38, 49, 98, 101, 103, 105, 128, 129, 133, 137, 141, 147], "deem": 17, "appropri": [17, 19, 25, 121, 122], "place": [17, 70, 132, 141, 142, 147, 151, 153], "setup_log": [17, 147], "compute_neighbor": 17, "check_traj_fil": 17, "new_trainer_context": [17, 157], "namespac": [17, 157], "_resolve_scale_factor_submodul": 17, "nn": [17, 31, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 49, 51, 53, 57, 58, 60, 61, 63, 64, 65, 70, 71, 73, 74, 76, 77, 78, 84, 85, 87, 88, 91, 92, 93, 98, 100, 101, 103, 104, 106, 107, 110, 112, 114, 116, 117, 118, 133, 147], "_report_incompat_kei": 17, "_incompatiblekei": 17, "strict": [17, 36, 38, 154], "load_state_dict": [17, 110, 113], "state_dict": [17, 110, 113, 116, 117, 157], "collect": [17, 109, 110, 121, 122, 147], "scatter_det": [17, 140], "get_commit_hash": 17, "cg_change_mat": 17, "ang_mom": 17, "irreps_sum": 17, "sum": [17, 39, 98, 147, 154, 156], "dimens": [17, 98, 133, 156], "irrep": [17, 34, 44, 53], "angular": 17, "momentum": 17, "momenttum": 17, "update_config": 17, "prior": [17, 139, 140], "organ": [17, 129, 147], "littl": [17, 132, 147, 149, 151, 153, 156], "now": [17, 25, 27, 28, 129, 132, 134, 135, 143, 151, 156, 157], "old": [17, 117, 129, 147, 156], "get_loss_modul": 17, "loss_nam": [17, 112], "rename_data_object_kei": 18, "data_object": [18, 120, 133, 138, 147, 148], "key_map": [18, 19, 25, 147], "renam": [18, 141], "prev_kei": 18, "new_kei": 18, "meta": [19, 30, 51], "apply_one_tag": [19, 25], "skip_if_nonzero": 19, "skip_alwai": 19, "tag": [19, 25, 80, 81, 121, 122, 132, 134, 138, 140, 142, 148, 151, 153, 156], "atoms_transform": [19, 25], "treat": 19, "oc": [19, 132, 133, 134, 139, 144, 146, 147, 156, 158], "triplet": [19, 32, 54, 55, 60, 63, 67, 68, 73, 76, 83, 87, 91, 158], "quadruplet": [19, 60, 73, 80, 81, 83, 87, 91, 140, 147, 158], "interact": [19, 32, 61, 63, 74, 76, 80, 81, 83, 88, 91, 100, 101, 103, 133, 140, 146, 149, 150, 158], "throw": [19, 147, 149], "reason": [19, 25, 27, 28, 119, 128, 132, 133, 134, 147, 153, 154, 157], "least": [19, 134], "nonzero": 19, "without": [19, 32, 45, 46, 57, 70, 84, 98, 110, 119, 126, 127, 128, 134, 136, 137, 142, 147], "callabl": [19, 25, 28, 57, 60, 70, 73, 84], "difficult": [19, 147], "aseatomsdataset": [19, 25], "ellipsi": [19, 25], "turn": [19, 129], "usabl": [19, 129], "instanti": [19, 98, 154], "get_atoms_object": 19, "load_dataset_get_id": 19, "deriv": 19, "add": [19, 34, 36, 38, 41, 44, 54, 55, 67, 68, 80, 81, 97, 98, 100, 129, 132, 142, 147, 151, 153, 154], "thing": [19, 132, 133, 134, 147, 151, 154, 158], "id": [19, 25, 26, 129, 130, 132, 134, 138, 139, 141, 142, 147, 151, 157], "take": [19, 57, 59, 70, 72, 84, 86, 98, 121, 122, 132, 134, 141, 142, 145, 146, 147, 148, 149, 151, 153, 154, 156, 157, 158], "identifi": [19, 25, 45, 46, 121, 122, 125, 126, 127, 129, 130, 132, 134, 138, 147, 148, 149, 151, 157], "respons": [19, 134, 142], "importantli": 19, "particular": [19, 32, 98, 133, 137, 138, 147, 148], "__getitem__": [19, 25, 27, 28], "idx": [19, 25, 26, 27, 28, 91, 94, 138, 147, 148, 151, 154, 157], "get_atom": [19, 25, 134], "_load_dataset_get_id": [19, 25], "get_relaxed_energi": [19, 25], "close_db": [19, 25, 27, 28], "get_metadata": [19, 25, 27], "num_sampl": [19, 25, 27], "asereaddataset": [19, 25], "io": [19, 25, 128, 129, 133, 138, 142, 147, 148, 149, 151, 154, 156], "disk": [19, 25, 158], "demonstr": [19, 25, 138, 147, 151, 154], "larger": [19, 25, 129, 153], "better": [19, 25, 56, 69, 80, 81, 82, 92, 93, 132, 134, 147, 148, 153, 157], "serv": [19, 25, 141, 147], "lmdb": [19, 25, 27, 28, 128, 129, 130, 131, 140, 141, 150, 154], "readabl": [19, 25], "filetyp": [19, 25], "http": [19, 25, 32, 66, 79, 94, 97, 98, 99, 129, 130, 132, 133, 134, 135, 138, 139, 141, 142, 147, 148, 149, 151, 153, 156], "wiki": [19, 25, 129, 147, 149], "fysik": [19, 25, 129, 147, 149], "dtu": [19, 25, 129, 147, 149], "dk": [19, 25, 129, 147, 149], "html": [19, 25, 129, 135, 141, 142, 147, 149, 156], "pattern": [19, 25, 128], "filepath": [19, 25, 128], "match": [19, 25, 128, 156], "ex": [19, 25, 128], "poscar": [19, 25, 128, 142], "cif": [19, 25, 128], "xyz": [19, 25, 107, 128, 129, 130], "search": [19, 25, 121, 122, 128, 147, 151, 153, 155], "wildcard": [19, 25, 128], "a2g_arg": [19, 25, 128, 132, 134, 157], "keyword": [19, 25, 58, 71, 85, 117, 128], "atomstograph": [19, 25, 121, 122, 147, 148], "work": [19, 25, 27, 94, 132, 133, 134, 146, 147, 148, 153, 155, 157, 158], "user": [19, 25, 129, 132, 133, 134, 142, 144, 147, 151, 153, 154, 156, 157], "r_energi": [19, 25, 121, 122, 128, 132, 134, 138, 147, 148, 157], "r_forc": [19, 25, 121, 122, 128, 132, 134, 138, 147, 148, 157], "r_stress": [19, 25, 121, 122], "outcar": [19, 25, 128], "ase_read_arg": [19, 25, 128], "keep_in_memori": [19, 25, 128], "avoid": [19, 25, 128, 129, 133, 142, 147], "Not": [19, 25, 133], "recommend": [19, 25, 128, 133, 135, 138, 140, 147, 151, 157], "include_relaxed_energi": [19, 25, 128], "traj": [19, 25, 128, 134, 138, 147, 148, 149, 151, 154], "atoms_transform_arg": [19, 25], "addit": [19, 25, 36, 38, 98, 128, 129, 132, 138, 142, 149, 150, 153, 154], "transform_arg": [19, 25], "wa": [19, 25, 27, 28, 98, 110, 129, 132, 133, 138, 142, 146, 147, 153, 154, 156, 158], "asereadmultistructuredataset": [19, 25], "multipl": [19, 25, 66, 79, 94, 98, 128, 133, 138, 140, 141, 147, 154], "disadvantag": [19, 25], "startup": [19, 25, 128], "signific": [19, 25, 146, 156], "cost": [19, 25, 147, 158], "index_fil": [19, 25, 128], "relaxation1": [19, 25, 128], "200": [19, 25, 121, 122, 128, 134, 147, 156], "relaxation2": [19, 25, 128], "150": [19, 25, 128, 132, 142, 147, 157], "overrul": [19, 25], "use_tqdm": [19, 25], "tqdm": [19, 25, 133, 134, 138, 142, 147, 151, 153, 156], "progress": [19, 25, 147, 157, 158], "bar": [19, 25], "asedbdataset": [19, 25], "connect": [19, 25, 32, 34, 54, 55, 63, 66, 67, 68, 76, 79, 80, 81, 83, 91, 94, 98, 128, 132, 134, 137, 147, 158], "databas": [19, 25, 26, 121, 122, 132, 151, 156], "storag": [19, 25, 129, 147, 157], "varieti": [19, 25, 147, 156, 158], "backend": [19, 25, 26, 128], "json": [19, 25, 26, 54, 55, 67, 68, 114, 132, 142, 147, 153], "sqlite": [19, 25, 121, 122], "server": [19, 25, 141, 146], "address": [19, 25, 128, 147], "glob": [19, 25, 147, 151, 154], "find": [19, 25, 54, 55, 67, 68, 132, 138, 140, 141, 147, 151, 153, 154, 156, 158], "attempt": [19, 25], "cleanli": [19, 25], "note": [19, 25, 48, 119, 129, 134, 135, 140, 141, 147, 148, 149, 151, 154, 156], "slow": [19, 25, 147], "advis": [19, 25, 132], "easi": [19, 25, 156], "obviou": [19, 25, 134, 147], "besid": [19, 25], "loop": [19, 25, 132, 151, 156], "through": [19, 25, 27, 28, 132, 146, 147, 153, 154], "entir": [19, 25, 129, 141, 147], "aselmdbdataset": [19, 25], "written": [19, 25, 26, 121, 122, 141, 142, 154], "usecas": [19, 25], "connect_arg": [19, 25, 128], "select_arg": [19, 25, 128, 134], "queri": [19, 25, 128, 156], "transform_funct": [19, 25], "where": [19, 25, 36, 38, 45, 46, 59, 72, 86, 98, 121, 122, 126, 127, 129, 130, 133, 134, 140, 141, 147, 149, 153, 154, 156, 158], "deprec": [19, 25, 132, 133, 138, 144, 147, 156, 157], "datapoint": [19, 25], "connect_db": [19, 25, 27, 28], "core": [19, 25, 26, 129, 132, 134, 138, 145, 147, 151, 154, 156, 157], "radii": [20, 147, 149], "picomet": 20, "nan": [20, 21, 80, 81, 89], "unavail": [20, 149], "continu": [21, 100, 132, 138, 142, 147, 154], "origin": [21, 23, 34, 80, 81, 110, 129, 139, 141, 147, 149], "k": [21, 23, 24, 59, 72, 86, 117, 142, 147, 151, 153, 156, 157], "hot": [21, 23, 24], "period": [21, 36, 38, 51, 52, 66, 79, 80, 81, 83, 94, 100, 101, 103, 121, 122, 132, 154], "electroneg": 21, "coval": 21, "valenc": 21, "electron": [21, 64, 77, 92], "ioniz": 21, "affin": [21, 40], "block": [21, 32, 34, 36, 38, 43, 51, 52, 54, 55, 57, 58, 61, 63, 66, 67, 68, 70, 71, 74, 76, 79, 80, 81, 84, 85, 88, 91, 94, 98, 99, 100, 101, 103, 133, 134, 147, 156], "volum": [21, 132, 134, 147, 149, 157], "unavaial": 21, "qmof": 24, "motiv": [24, 147], "github": [24, 32, 129, 133, 138, 139, 140, 141, 146, 147, 148, 156], "issu": [24, 132, 133, 134, 140, 146, 147], "thread": 24, "txie": 24, "93": [24, 142, 145, 147, 149, 157], "arosen93": 24, "18": [24, 132, 134, 138, 139, 142, 147, 148, 149, 151, 154, 157], "lmdbdatabas": [25, 26], "create_indic": [25, 26], "use_lock_fil": [25, 26], "serial": [25, 26, 157], "readonli": [25, 26], "metadata": [25, 26, 141, 142], "_nextid": [25, 26], "next": [25, 26, 132, 135, 141, 150, 151, 156, 157, 158], "row": [25, 26, 132, 134, 151, 154, 156, 157], "__enter__": [25, 26], "typing_extens": [25, 26], "__exit__": [25, 26, 157], "exc_typ": [25, 26], "exc_valu": [25, 26], "tb": [25, 26], "close": [25, 26, 133, 138, 147, 149, 156, 157], "_write": [25, 26], "atomsrow": [25, 26], "key_value_pair": [25, 26, 134], "_updat": [25, 26], "_write_deleted_id": [25, 26], "_get_row": [25, 26], "include_data": [25, 26], "_get_row_by_index": [25, 26], "auxiliari": [25, 26], "ith": [25, 26], "entri": [25, 26, 83, 129, 130, 141, 153, 154, 156], "rather": [25, 26, 34, 128, 154], "_select": [25, 26], "cmp": [25, 26], "explain": [25, 26, 141, 158], "verbos": [25, 26, 153], "limit": [25, 26, 32, 98, 137, 142, 149, 150, 158], "offset": [25, 26, 66, 79, 94, 121, 122, 132, 138, 147, 148, 149], "column": [25, 26, 147, 149], "count": [25, 26, 59, 72, 86, 128, 154], "syntax": [25, 26, 156], "_load_id": [25, 26], "mostli": [25, 26], "n": [25, 26, 33, 40, 56, 59, 69, 72, 82, 86, 94, 98, 100, 107, 129, 132, 135, 142, 147, 149, 151, 153], "space": [25, 26, 132, 156], "assumpt": [25, 26], "probabl": [25, 26, 132, 133, 151, 153], "lmdbdataset": [25, 27, 138, 147], "t_co": [25, 27], "overwrit": [25, 27], "support": [25, 27, 83, 128, 132, 138, 141, 146, 147, 153], "fetch": [25, 27], "__getitems__": [25, 27], "speedup": [25, 27, 98], "construct": [25, 27, 98, 121, 122, 132, 138, 141, 147, 149, 151, 153, 156, 158], "integr": [25, 27, 36, 38, 44, 51, 52, 101, 103], "style": [25, 27, 147], "shard": [25, 27], "singl": [25, 27, 28, 33, 34, 37, 59, 72, 86, 121, 122, 129, 130, 131, 133, 138, 141, 147], "s2ef": [25, 27, 28, 45, 46, 126, 127, 140, 148, 150], "is2r": [25, 27, 28, 45, 46, 126, 127, 128, 134, 140, 144, 150, 154, 158], "ascii": [25, 27, 28, 138, 147], "histor": [25, 27, 28], "infer": [25, 27, 28, 140, 145], "configur": [25, 27, 28, 45, 46, 126, 127, 134, 139, 141, 142, 147, 152, 153, 156, 158], "lmdb_path": [25, 27, 28], "singlepointlmdbdataset": [25, 27, 138], "basedata": [25, 27], "trajectorylmdbdataset": [25, 27, 138], "data_list_collat": [25, 27, 133], "oc22lmdbdataset": [25, 28, 140, 141], "thu": [26, 147, 158], "lgpl2": 26, "notic": [26, 32, 98, 137, 147, 153], "avail": [26, 98, 129, 130, 131, 132, 133, 134, 138, 139, 140, 141, 144, 147, 151, 153, 154, 156, 157, 158], "here": [26, 54, 55, 67, 68, 80, 81, 97, 98, 129, 132, 133, 134, 139, 140, 141, 143, 146, 147, 149, 150, 151, 153, 154, 156, 157, 158], "blob": [26, 138, 139, 148, 156], "master": [26, 32, 138, 148], "reserved_kei": 26, "nextid": 26, "deleted_id": 26, "function": [26, 28, 31, 32, 33, 36, 38, 42, 43, 44, 45, 46, 49, 51, 52, 53, 54, 55, 57, 58, 61, 63, 64, 65, 67, 68, 71, 74, 76, 77, 78, 80, 81, 84, 85, 87, 88, 91, 92, 93, 98, 101, 103, 104, 106, 107, 112, 116, 126, 127, 132, 133, 140, 142, 147, 153, 154, 158], "uniform_atoms_length": 29, "atoms_len": 29, "target_constant_shap": 29, "target_sampl": 29, "target_per_atom": 29, "target_extens": 29, "threshold": 29, "guess_target_metadata": 29, "guess_property_metadata": 29, "atoms_list": [29, 151, 154], "__version__": 30, "basemodel": [31, 32, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103, 133], "bond_feat_dim": [31, 32, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103, 147], "num_target": [31, 32, 36, 38, 51, 52, 54, 55, 57, 67, 68, 70, 80, 81, 97, 98, 100, 101, 103, 147], "neural": [31, 32, 33, 34, 37, 40, 44, 56, 58, 69, 71, 82, 85, 92, 98, 100, 103, 104, 106, 107, 112, 116, 117, 134, 147, 156, 158], "network": [31, 32, 33, 34, 36, 37, 38, 40, 44, 49, 51, 52, 56, 58, 69, 71, 82, 85, 92, 98, 100, 101, 103, 104, 106, 107, 112, 116, 117, 134, 147, 156, 158], "assign": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 94, 98, 100, 103, 104, 106, 107, 112, 116, 117, 138, 147, 156], "submodul": [31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 117], "regular": [31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 82, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 147], "f": [31, 32, 33, 34, 37, 40, 44, 57, 58, 70, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 132, 133, 134, 135, 138, 142, 147, 149, 151, 153, 154, 156, 157], "super": [31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 147], "conv1": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "conv2d": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "20": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 101, 103, 104, 106, 107, 112, 116, 117, 132, 133, 134, 139, 142, 145, 147, 149, 151, 153, 154, 156, 157], "5": [31, 32, 33, 34, 36, 37, 38, 40, 44, 58, 64, 66, 71, 77, 79, 85, 89, 92, 94, 98, 99, 103, 104, 106, 107, 112, 116, 117, 129, 131, 132, 133, 134, 138, 139, 142, 144, 145, 147, 148, 149, 151, 153, 154, 156, 157, 158], "conv2": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "relu": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "too": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 132, 134, 147, 156, 157], "As": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 134, 138, 142, 147, 150, 151, 153, 154], "per": [31, 32, 33, 34, 36, 37, 38, 40, 44, 51, 52, 58, 66, 71, 79, 80, 81, 85, 87, 92, 94, 98, 99, 101, 103, 104, 106, 107, 112, 116, 117, 140, 141, 147, 149, 154], "abov": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 129, 134, 135, 137, 138, 139, 141, 142, 147, 148, 149, 153, 154, 156, 157, 158], "parent": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 151], "befor": [31, 32, 33, 34, 37, 40, 44, 54, 55, 58, 63, 67, 68, 71, 76, 80, 81, 84, 85, 91, 92, 98, 103, 104, 106, 107, 110, 112, 116, 117, 128, 129, 142, 147], "child": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "variabl": [31, 32, 33, 34, 37, 40, 44, 58, 59, 71, 72, 85, 86, 92, 98, 103, 104, 106, 107, 112, 116, 117, 132, 141, 154, 156], "num_param": [31, 32, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103, 147], "generate_graph": 31, "use_pbc": [31, 32, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103], "no_weight_decai": [31, 36, 38], "weight": [31, 36, 38, 40, 49, 56, 60, 69, 73, 82, 87], "decai": [31, 36, 38, 110], "heavili": [32, 142], "dimenet": [32, 134, 139, 144, 146, 147, 158], "part": [32, 59, 72, 80, 81, 86, 129, 138, 139, 140, 147, 150, 156], "geometr": [32, 121, 122, 146, 147, 148, 158], "rusty1": 32, "pytorch_geometr": 32, "2020": [32, 146, 147], "matthia": 32, "fei": 32, "tu": 32, "dortmund": 32, "de": [32, 147, 149, 151], "permiss": [32, 98, 137, 147], "herebi": [32, 98, 137, 147], "grant": [32, 98, 137, 147], "free": [32, 98, 121, 122, 133, 137, 140, 143, 147, 149, 158], "person": [32, 98, 137, 147], "obtain": [32, 98, 128, 137, 142, 147, 152], "softwar": [32, 98, 137, 150], "associ": [32, 59, 72, 86, 87, 98, 130, 137, 147, 158], "deal": [32, 98, 137, 138, 147], "restrict": [32, 98, 137, 147], "right": [32, 98, 137, 147, 153, 154], "publish": [32, 98, 137, 147], "distribut": [32, 45, 46, 98, 126, 127, 129, 130, 137, 141, 147, 157], "sublicens": [32, 98, 137, 147], "sell": [32, 98, 137, 147], "permit": [32, 98, 137, 147], "whom": [32, 98, 137, 147], "furnish": [32, 98, 137, 147], "subject": [32, 98, 137, 147], "condit": [32, 36, 38, 51, 52, 66, 79, 80, 81, 94, 98, 100, 101, 103, 121, 122, 137], "shall": [32, 98, 137, 147], "substanti": [32, 98, 132, 137, 147, 158], "portion": [32, 98, 137, 147, 153], "THE": [32, 98, 137, 147], "AS": [32, 98, 137, 147], "warranti": [32, 98, 137, 147], "OF": [32, 98, 137, 147], "express": [32, 98, 137, 147, 149], "OR": [32, 98, 137, 147], "impli": [32, 98, 137, 147], "BUT": [32, 98, 137, 147], "NOT": [32, 98, 137, 147], "TO": [32, 98, 137, 147, 149], "merchant": [32, 98, 137, 147], "FOR": [32, 98, 137, 147], "purpos": [32, 98, 121, 122, 128, 137, 147, 153, 154, 156, 158], "AND": [32, 98, 137, 147], "noninfring": [32, 98, 137, 147], "IN": [32, 98, 137, 147], "NO": [32, 98, 129, 137, 142, 147], "author": [32, 98, 129, 130, 131, 137, 139, 142, 146, 147], "holder": [32, 98, 137, 147], "BE": [32, 98, 137, 147], "liabl": [32, 98, 137, 147], "claim": [32, 98, 137, 147], "damag": [32, 98, 137, 147], "liabil": [32, 98, 137, 147], "action": [32, 98, 137, 147], "contract": [32, 98, 137, 147], "tort": [32, 98, 137, 147], "aris": [32, 98, 137, 147], "WITH": [32, 98, 137, 147], "sym": 32, "interactionppblock": 32, "hidden_channel": [32, 39, 43, 49, 51, 52, 97, 98, 100, 101, 103], "int_emb_s": 32, "basis_emb_s": 32, "num_spher": [32, 54, 55, 60, 65, 67, 68, 73, 78, 80, 81, 87, 93, 132, 133, 147, 157], "num_radi": [32, 54, 55, 60, 64, 67, 68, 73, 77, 80, 81, 87, 92, 132, 147, 157], "num_before_skip": [32, 54, 55, 63, 67, 68, 76, 80, 81, 91, 132, 147, 157], "num_after_skip": [32, 54, 55, 63, 67, 68, 76, 80, 81, 91, 132, 147, 157], "silu": [32, 36, 38, 42, 49, 51, 52, 80, 81, 85, 101, 103, 132, 147, 157], "reset_paramet": [32, 57, 58, 60, 70, 71, 73, 85, 87, 97, 98], "rbf": [32, 54, 55, 57, 60, 61, 63, 64, 67, 68, 70, 73, 74, 76, 77, 80, 81, 92, 97, 98, 132, 147, 157], "sbf": [32, 80, 81, 87, 93, 132, 147, 157], "idx_kj": 32, "idx_ji": 32, "outputppblock": 32, "out_emb_channel": 32, "out_channel": [32, 33, 98], "num_lay": [32, 36, 38, 51, 52, 97, 98], "num_nod": [32, 44, 53, 157], "dimenetplusplu": 32, "num_block": [32, 54, 55, 67, 68, 80, 81, 132, 147, 157], "envelope_expon": 32, "num_output_lay": 32, "klicperajo": 32, "hidden": [32, 36, 38, 39, 49, 51, 52, 100, 101, 103], "build": [32, 54, 55, 67, 68, 80, 81, 133, 134, 138, 144, 147, 148, 149, 153, 156, 157, 158], "spheric": [32, 36, 38, 39, 43, 44, 49, 51, 52, 53, 59, 64, 72, 77, 80, 81, 86, 87, 91, 92, 93, 101, 103, 105], "harmon": [32, 36, 38, 43, 44, 49, 51, 52, 53, 59, 72, 86, 101, 103, 105], "radial": [32, 36, 38, 42, 43, 49, 54, 55, 63, 65, 67, 68, 76, 78, 80, 81, 84, 87, 88, 91, 93], "distanc": [32, 36, 38, 39, 49, 51, 52, 64, 66, 77, 79, 92, 94, 100, 101, 103, 121, 122, 133, 147, 148, 154], "interatom": [32, 54, 55, 67, 68, 80, 81, 100, 121, 122], "shape": [32, 33, 40, 54, 55, 57, 60, 61, 63, 66, 67, 68, 70, 73, 74, 76, 79, 80, 81, 83, 84, 87, 88, 91, 94, 99, 100, 132, 133, 138, 147, 156, 157], "smooth": [32, 64, 77, 92], "residu": [32, 34, 54, 55, 57, 58, 63, 67, 68, 70, 71, 76, 80, 81, 84, 85, 91, 157], "after": [32, 36, 38, 49, 54, 55, 61, 63, 66, 67, 68, 74, 76, 79, 80, 81, 84, 88, 91, 94, 99, 110, 133, 135, 140, 141, 142, 151, 154, 156], "linear": [32, 36, 38, 41, 42, 43, 49, 51, 56, 69, 82, 101, 103, 140, 147, 156], "funtion": 32, "url": [32, 135, 142], "com": [32, 66, 79, 94, 99, 129, 130, 133, 134, 138, 139, 141, 142, 146, 147, 148, 156], "raw": [32, 80, 81, 87, 129, 130, 147, 148, 149], "pretrain": [32, 95, 96, 132], "z": [32, 59, 61, 72, 74, 86, 88, 100, 147, 149, 153], "dimenetpluspluswrap": 32, "regress_forc": [32, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103, 132, 133, 147, 157], "128": [32, 36, 38, 51, 52, 97, 98, 100, 101, 103, 132, 134, 147, 157], "4": [32, 66, 79, 82, 94, 99, 129, 130, 131, 132, 133, 134, 139, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "64": [32, 132, 139, 142, 147, 149, 157], "256": [32, 51, 52, 101, 103, 132, 147, 156, 157], "7": [32, 66, 79, 94, 99, 132, 133, 134, 142, 144, 147, 149, 151, 153, 154, 156, 157, 158], "10": [32, 36, 38, 41, 51, 52, 66, 79, 82, 94, 99, 100, 101, 103, 107, 129, 132, 133, 134, 138, 139, 142, 144, 146, 147, 149, 151, 153, 154, 156, 157], "_forward": [32, 100, 126, 127, 133], "scaledsilu": [33, 58, 71, 85], "inplac": 33, "extra_repr": [33, 34, 37], "extra": [33, 34, 37, 129, 135], "represent": [33, 34, 37, 41, 44, 49, 51, 53, 56, 69, 82, 105, 121, 122, 132, 156], "own": [33, 34, 37, 98, 138, 150, 153, 154, 158], "line": [33, 34, 37, 129, 132, 133, 134, 135, 150, 151, 153, 157], "multi": [33, 34, 37, 129, 141], "scaledswiglu": 33, "in_channel": [33, 103], "bia": [33, 44, 58, 71, 85, 147], "swiglu": 33, "smoothleakyrelu": 33, "negative_slop": 33, "scaledsmoothleakyrelu": 33, "scaledsigmoid": 33, "gateactiv": 33, "lmax": [33, 36, 38, 40, 44, 51, 52, 53, 101, 103, 105], "mmax": [33, 44, 53, 101, 103, 105], "num_channel": [33, 40, 44, 51, 53, 105], "gating_scalar": 33, "input_tensor": 33, "s2activ": 33, "resolut": [33, 36, 38, 39, 43, 44, 49, 51, 52, 101, 103], "so3_grid": [33, 36, 38, 44, 49, 51, 53], "separables2activ": 33, "input_scalar": 33, "droppath": 34, "timm": 34, "displai": [34, 147, 149, 157], "drop_path": 34, "drop_prob": 34, "stochast": 34, "depth": [34, 147, 149], "dropconnect": 34, "impl": 34, "efficientnet": 34, "howev": [34, 59, 72, 86, 98, 128, 147, 149, 153, 154, 157], "mislead": [34, 133], "form": [34, 98, 100, 121, 122, 129, 132, 147], "dropout": [34, 36, 38, 49, 56, 69, 82], "paper": [34, 51, 52, 98, 101, 103, 129, 130, 131, 132, 134, 139, 140, 141, 142, 143, 146, 147, 149, 152, 153, 154], "discuss": [34, 133, 140, 147, 149, 153, 158], "tensorflow": [34, 146], "tpu": 34, "494": [34, 142], "ve": [34, 138, 147, 149], "opt": [34, 132, 133, 134, 138, 142, 144, 147, 149, 151, 153, 154, 156, 157, 158], "mix": [34, 45, 46, 83, 126, 127, 133, 134, 147], "surviv": 34, "graphdroppath": 34, "consid": [34, 66, 79, 94, 121, 122, 128, 129, 130, 131, 132, 139, 141, 142, 146, 147, 149, 151, 153, 154, 156], "graph": [34, 36, 38, 49, 51, 52, 80, 81, 83, 98, 100, 101, 103, 121, 122, 146, 147, 158], "equivariantdropout": 34, "equivariantscalarsdropout": 34, "equivariantdropoutarraysphericalharmon": 34, "drop_graph": 34, "init_edge_rot_mat": 35, "edge_distance_vec": [35, 36, 38, 51, 52, 101, 103], "_avg_num_nod": 36, "77": [36, 132, 134, 138, 142, 145, 147, 149, 157], "81317": 36, "_avg_degre": 36, "23": [36, 133, 134, 142, 144, 145, 147, 149, 151, 153, 154, 157, 158], "395238876342773": 36, "equiformerv2_oc20": 36, "500": [36, 38, 142], "max_radiu": [36, 38], "max_num_el": [36, 38, 39, 49, 51, 52, 101, 103], "90": [36, 38, 51, 52, 101, 103, 139, 142, 147, 149, 157], "12": [36, 38, 66, 79, 94, 97, 98, 99, 129, 132, 134, 138, 139, 142, 144, 147, 149, 151, 153, 154, 157, 158], "sphere_channel": [36, 38, 39, 43, 49, 51, 52, 101, 103], "attn_hidden_channel": [36, 38, 49], "num_head": [36, 38, 49], "attn_alpha_channel": [36, 38, 49], "32": [36, 38, 132, 134, 142, 145, 147, 148, 149, 151, 154, 157], "attn_value_channel": [36, 38, 49], "16": [36, 38, 115, 129, 132, 134, 142, 144, 145, 147, 148, 149, 151, 154, 157], "ffn_hidden_channel": [36, 38, 49], "512": [36, 38, 97, 98, 132, 147, 157], "norm_typ": [36, 38, 40, 49], "rms_norm_sh": [36, 38, 49], "lmax_list": [36, 38, 39, 43, 44, 49, 51, 52, 53], "mmax_list": [36, 38, 39, 43, 44, 49, 51, 52, 53], "grid_resolut": [36, 38], "num_sphere_sampl": [36, 38, 51, 52, 101, 103], "edge_channel": [36, 38, 51, 52], "use_atom_edge_embed": [36, 38, 39, 49], "share_atom_edge_embed": [36, 38], "use_m_share_rad": [36, 38, 49], "distance_funct": [36, 38, 51, 52, 101, 103], "gaussian": [36, 37, 38, 51, 52, 64, 77, 92, 100, 101, 103, 132, 147, 157], "num_distance_basi": [36, 38], "attn_activ": [36, 38, 49], "scaled_silu": [36, 38, 49], "use_s2_act_attn": [36, 38, 49], "use_attn_renorm": [36, 38, 49], "ffn_activ": [36, 38, 49], "use_gate_act": [36, 38, 49], "use_grid_mlp": [36, 38, 49], "use_sep_s2_act": [36, 38, 49], "alpha_drop": [36, 38, 49], "drop_path_r": [36, 38, 49], "05": [36, 38, 40, 106, 134, 142, 144, 147, 149, 151, 153, 154, 156, 157], "proj_drop": [36, 38, 49], "weight_init": [36, 38], "avg_num_nod": [36, 38], "avg_degre": [36, 38], "use_energy_lin_ref": [36, 38], "load_energy_lin_ref": [36, 38], "equiform": [36, 38, 49], "attent": [36, 38, 40, 49, 98], "built": [36, 38, 146], "upon": [36, 38, 129], "convolut": [36, 38, 43, 49, 51, 52, 100, 101, 103, 105, 158], "feedforward": [36, 38, 49], "s2": [36, 38, 49], "boundari": [36, 38, 51, 52, 66, 79, 80, 81, 94, 100, 101, 103, 121, 122], "On": [36, 38, 51, 52, 101, 103, 140, 142, 157], "fly": [36, 38, 51, 52, 100, 101, 103, 129, 147], "otf": [36, 38, 51, 52, 101, 103], "maximum": [36, 38, 39, 44, 49, 51, 52, 53, 54, 55, 59, 60, 64, 65, 67, 68, 72, 73, 77, 78, 80, 81, 86, 87, 92, 93, 97, 98, 101, 103, 105, 121, 122, 147, 148], "nieghbor": [36, 38, 51, 52, 101, 103], "angstrom": [36, 38, 51, 52, 54, 55, 64, 67, 68, 77, 80, 81, 92, 101, 103, 121, 122, 147, 156], "gnn": [36, 38, 51, 52, 98, 101, 103, 147], "channel": [36, 38, 39, 40, 42, 43, 44, 49, 51, 52, 53, 100, 101, 103, 105], "head": [36, 38, 49, 157], "attn_alpha_head": [36, 38, 49], "vector": [36, 38, 40, 49, 66, 79, 94, 99, 121, 122, 133, 147, 149, 154, 155, 158], "attn_value_head": [36, 38, 49], "layer_norm_sh": [36, 38, 49], "order": [36, 38, 39, 43, 44, 49, 51, 52, 53, 59, 65, 72, 78, 86, 92, 101, 103, 105, 129, 130, 132, 134, 140, 141, 142, 147, 149, 151], "approxim": [36, 38, 51, 52, 101, 103, 147, 149], "sphere": [36, 38, 51, 52, 59, 72, 86, 101, 103], "featur": [36, 38, 39, 40, 43, 49, 51, 52, 56, 69, 82, 98, 141, 142, 147, 156, 158], "along": [36, 38, 39, 49, 98, 130, 131, 138, 147], "rel": [36, 38, 39, 49, 128, 130, 132, 147, 153], "scalar": [36, 38, 39, 49, 147], "atom_edge_embed": [36, 38], "across": [36, 38, 40, 129, 141, 147, 151], "m": [36, 38, 39, 40, 43, 44, 49, 51, 53, 57, 59, 60, 63, 70, 72, 73, 76, 84, 86, 87, 88, 91, 107, 131, 134, 139, 141, 142, 147, 156, 157], "compon": [36, 38, 40, 43, 49, 146], "l": [36, 38, 39, 40, 41, 43, 49, 51, 53, 59, 72, 86, 105, 147, 156], "sigmoid": [36, 38, 51, 52, 101, 103], "linearsigmoid": [36, 38, 51, 52, 101, 103], "gate": [36, 38, 49, 98, 142], "grid": [36, 38, 44, 49, 51, 53, 82, 105, 147, 156], "mlp": [36, 38, 49, 98, 158], "ffn": [36, 38, 40, 49], "uniform": [36, 38], "those": [36, 38, 132, 138, 141, 147, 150, 151, 154, 158], "subselect": [36, 38, 80, 81], "arbitrarili": [36, 38, 80, 81], "amongst": [36, 38, 80, 81], "equidist": [36, 38], "exactli": [36, 38, 80, 81], "refer": [36, 38, 129, 138, 140, 141, 142, 149, 150, 151, 153, 156], "kept": [36, 38, 154], "lin_ref": [36, 38, 140], "oc22": [36, 38, 128, 132, 133, 134, 144, 146, 156, 157, 158], "subtract": [36, 38, 66, 79, 94, 133, 138, 147], "target": [36, 38, 54, 55, 57, 66, 67, 68, 70, 79, 80, 81, 94, 100, 109, 112, 150], "don": [36, 38, 132, 134, 140, 147, 151, 153, 154, 157], "even": [36, 38, 132, 147, 153], "_init_edge_rot_mat": [36, 38, 51, 52, 101, 103], "_init_weight": [36, 38], "_uniform_init_rad_func_linear_weight": [36, 38], "_uniform_init_linear_weight": [36, 38], "mean": [37, 98, 100, 112, 113, 132, 133, 134, 140, 141, 144, 147, 151, 153, 156], "std": [37, 113, 133, 147], "gaussianradialbasislay": 37, "num_basi": 37, "node_atom": 37, "edge_src": 37, "edge_dst": 37, "equiformerv2": [38, 133, 134, 139, 144, 146, 151, 153, 154, 158], "edgedegreeembed": 39, "so3_rot": [39, 44, 49, 53], "mappingreduc": [39, 43, 44, 49, 51, 53], "edge_channels_list": [39, 43, 49], "rescale_factor": 39, "matric": [39, 49], "coefficientmappingmodul": [39, 43, 44, 49], "onc": [39, 49, 129, 142, 154], "input_channel": [39, 43, 49], "rescal": [39, 59, 72, 86], "aggreg": [39, 51, 54, 55, 57, 67, 68, 70, 80, 81, 83, 84, 87, 98, 100, 101, 103, 105, 140], "atomic_numb": [39, 49, 51, 103, 121, 122, 133, 138, 147, 148], "edge_dist": [39, 49, 51, 54, 55, 67, 68, 101, 103], "sphere_basi": 40, "get_normalization_lay": 40, "ep": [40, 94], "1e": [40, 134, 154], "get_l_to_all_m_expand_index": 40, "equivariantlayernormarrai": 40, "node_input": 40, "equivariantlayernormarraysphericalharmon": 40, "std_balance_degre": 40, "equivariantrmsnormarraysphericalharmon": 40, "equivariantrmsnormarraysphericalharmonicsv2": 40, "center": [40, 121, 122, 132, 138, 147, 148, 149, 154], "expand": 40, "slice": [40, 98], "concaten": [40, 54, 55, 61, 63, 66, 67, 68, 74, 76, 79, 80, 81, 88, 91, 94, 98, 147], "equivariantdegreelayerscal": 40, "similar": [40, 129, 141, 147, 153, 154, 156], "cait": 40, "go": [40, 80, 81, 129, 132, 146, 147, 153], "deeper": [40, 147], "With": [40, 133, 138, 147, 151], "imag": [40, 83, 133, 134, 138, 147, 149], "iccv": 40, "21": [40, 134, 139, 142, 147, 149, 151, 154, 156], "down": [40, 54, 55, 60, 63, 67, 68, 73, 76, 80, 81, 89, 91, 147], "squar": [40, 151], "emul": 40, "halv": 40, "higher": [40, 153, 156, 157], "modulelistinfo": 41, "info_str": 41, "modulelist": 41, "hold": 41, "properli": [41, 147, 149], "visibl": 41, "mymodul": 41, "rang": [41, 66, 79, 94, 133, 134, 147, 149, 151, 156, 158], "enumer": [41, 54, 55, 67, 68, 83, 87, 129, 133, 138, 142, 147, 148, 152, 156], "compress": [41, 129, 130, 131], "repeat": [41, 66, 79, 94, 99, 147, 149, 154, 156], "radialfunct": 42, "channels_list": 42, "contruct": 42, "so2_m_convolut": 43, "m_output_channel": 43, "conv": [43, 49, 51], "coeffici": [43, 44, 51, 53, 64, 77, 92, 132, 147, 157], "x_m": [43, 51], "so2_convolut": 43, "internal_weight": 43, "extra_m0_output_channel": 43, "extract": [43, 129, 138, 141, 147, 151, 154, 156], "subset": [43, 129, 134, 147], "out_embed": 43, "so3_embed": [43, 44, 53], "extra_m0_featur": 43, "x_edg": [43, 51, 103], "so2_linear": 43, "helper": [44, 53, 105, 125, 126, 132], "reshap": [44, 53, 94, 121, 122, 133], "lval": [44, 53], "complex_idx": [44, 53], "m_complex": 44, "l_harmon": 44, "cannot": [44, 133, 147, 149], "coefficient_idx": [44, 53], "get_rotate_inv_rescal": 44, "dtype": [44, 53, 133, 147, 148, 156, 157], "clone": [44, 53, 70, 147], "set_embed": [44, 53], "set_lmax_mmax": [44, 53], "_expand_edg": [44, 53], "expand_edg": [44, 53], "_reduce_edg": [44, 53], "_m_primari": [44, 53], "_l_primari": [44, 53], "_rotat": [44, 53], "_rotate_inv": [44, 53], "_grid_act": [44, 53], "to_grid": [44, 53], "_from_grid": [44, 53], "x_grid": [44, 53, 105], "set_wign": 44, "rot_mat3x3": [44, 53], "out_lmax": [44, 53], "out_mmax": [44, 53], "rotate_inv": [44, 53], "in_lmax": [44, 53], "in_mmax": [44, 53], "rotationtowignerdmatrix": [44, 53, 105], "start_lmax": [44, 53, 105], "end_lmax": [44, 53, 105], "get_to_grid_mat": [44, 53], "get_from_grid_mat": [44, 53], "from_grid": [44, 53], "so3_linear": 44, "in_featur": [44, 58, 85, 147], "out_featur": [44, 58, 61, 85, 88, 107], "input_embed": [44, 49], "output_scal": 44, "so3_linearv2": 44, "equiformerv2energytrain": 45, "loss_fn": [45, 46, 112, 125, 126, 127, 132, 147, 157], "eval_metr": [45, 46, 109, 125, 126, 127, 132, 147, 157], "timestamp_id": [45, 46, 125, 126, 127, 147, 157], "run_dir": [45, 46, 125, 126, 127, 147, 157], "is_debug": [45, 46, 125, 126, 127, 147, 157], "print_everi": [45, 46, 125, 126, 127, 147, 157], "local_rank": [45, 46, 125, 126, 127, 147, 157], "amp": [45, 46, 89, 125, 126, 127, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "slurm": [45, 46, 125, 126, 127, 132, 134, 141, 147, 157], "noddp": [45, 46, 125, 126, 127, 132, 147, 157], "ocptrain": [45, 46, 126, 127, 133, 147, 157], "ocp_s2ef": [45, 46, 126, 127], "ocp_is2r": [45, 46, 126, 127], "singlepointlmdb": [45, 46, 126, 127, 138, 141], "experi": [45, 46, 126, 127, 147, 153, 158], "append": [45, 46, 98, 126, 127, 134, 147, 148, 151, 154, 156], "frequenc": [45, 46, 54, 55, 59, 64, 65, 67, 68, 72, 77, 78, 80, 81, 86, 92, 93, 126, 127], "local": [45, 46, 126, 127, 129, 133, 142, 147, 156, 157], "process": [45, 46, 110, 121, 122, 126, 127, 129, 132, 138, 141, 147, 152], "applic": [45, 46, 98, 126, 127, 138, 147, 149, 156, 158], "precis": [45, 46, 126, 127, 133, 134, 147], "keep": [45, 46, 66, 79, 94, 99, 126, 127, 128, 133, 134, 146, 147, 151, 153, 154], "track": [45, 46, 121, 122, 126, 127], "ddp": [45, 46, 126, 127], "load_extra": [45, 46, 125, 126], "equiformerv2forcestrain": 46, "num": [48, 129, 141], "cosine_lr_lambda": 48, "scheduler_param": 48, "cosinelrlambda": 48, "multistep_lr_lambda": 48, "multisteplrlambda": 48, "lrschedul": [48, 119], "oc20": [48, 128, 132, 133, 144, 146, 148, 149, 150, 154, 158], "cosin": [48, 54, 55, 65, 67, 68, 78, 80, 81, 147, 154, 156], "lambdalr": 48, "lambda": [48, 133], "lambda_typ": 48, "look": [48, 132, 147, 149, 151, 153, 154, 156], "warmup_epoch": 48, "warmup_factor": 48, "lr_min_factor": 48, "multistep": 48, "decay_epoch": 48, "decay_r": 48, "filter_kwarg": [48, 119], "get_lr": [48, 119], "so2equivariantgraphattent": 49, "output_channel": 49, "messag": [49, 51, 52, 54, 55, 57, 63, 67, 68, 70, 76, 80, 81, 84, 91, 97, 98, 101, 103, 105, 157, 158], "feedforwardnetwork": 49, "transblockv2": 49, "_jd": [50, 53, 105], "wigner_d": [50, 53, 105], "lv": [50, 53], "beta": [50, 53, 105], "gamma": [50, 53, 64, 77, 92, 100, 105, 132], "_z_rot_mat": [50, 53, 105], "40": [51, 52, 107, 134, 142, 147, 149, 151, 153, 154, 156], "use_grid": [51, 52, 101, 103], "basis_width_scalar": [51, 52, 101, 103, 104], "distance_resolut": [51, 52, 101, 103], "02": [51, 52, 101, 103, 134, 139, 142, 145, 147, 148, 149, 153, 154, 157], "show_timing_info": [51, 52, 101, 103], "equivari": [51, 52, 97, 98], "reduc": [51, 52, 56, 59, 69, 72, 82, 86, 98, 128, 147, 154, 156], "width": [51, 52, 101, 103], "show": [51, 52, 101, 103, 132, 134, 138, 142, 147, 151, 154, 156, 157, 158], "layerblock": 51, "layer_idx": 51, "distance_expans": [51, 103], "so3_edge_rot": 51, "messageblock": [51, 103], "so2block": 51, "so2conv": 51, "edgeblock": [51, 103], "diatanc": 51, "source_el": [51, 103], "target_el": [51, 103], "energyblock": 51, "x_pt": 51, "forceblock": 51, "sphere_point": 51, "coefficientmap": 53, "matrix": [53, 54, 55, 56, 60, 67, 68, 69, 73, 82, 83, 87, 94], "set_lmax": 53, "_initi": 53, "gemnett": [54, 55, 147], "emb_size_atom": [54, 55, 57, 63, 67, 68, 70, 76, 80, 81, 84, 91, 132, 147, 157], "emb_size_edg": [54, 55, 57, 63, 67, 68, 70, 76, 80, 81, 84, 91, 132, 147, 157], "emb_size_trip": [54, 55, 63, 67, 68, 76, 147], "emb_size_rbf": [54, 55, 57, 63, 67, 68, 70, 76, 80, 81, 84, 91, 132, 147, 157], "emb_size_cbf": [54, 55, 63, 67, 68, 76, 80, 81, 91, 132, 147, 157], "emb_size_bil_trip": [54, 55, 63, 67, 68, 76, 147], "num_concat": [54, 55, 63, 67, 68, 76, 80, 81, 91, 132, 147, 157], "direct_forc": [54, 55, 57, 67, 68, 70, 80, 81, 84, 97, 98, 101, 103, 132, 133, 147, 157], "envelop": [54, 55, 64, 67, 68, 77, 80, 81, 92, 97, 98, 132, 147, 157], "cbf": [54, 55, 65, 67, 68, 78, 80, 81, 87, 93, 132, 147, 157], "extens": [54, 55, 67, 68, 80, 81, 132, 142, 147, 157, 158], "output_init": [54, 55, 57, 67, 68, 70, 80, 81, 132, 147, 157], "heorthogon": [54, 55, 57, 67, 68, 70, 80, 81, 132, 147, 157], "swish": [54, 55, 58, 67, 68, 71], "num_el": [54, 55, 61, 80, 81, 88, 97, 98], "83": [54, 55, 80, 81, 97, 98, 132, 138, 147, 149, 157], "scale_fil": [54, 55, 67, 68, 80, 81, 97, 98, 114, 140, 147], "variant": [54, 55, 67, 68], "control": [54, 55, 64, 65, 67, 68, 77, 78, 80, 81, 92, 93, 147, 148, 149], "stack": [54, 55, 67, 68, 80, 81, 121, 122], "circular": [54, 55, 63, 67, 68, 76, 80, 81, 87, 91, 93], "bilinear": [54, 55, 60, 63, 67, 68, 73, 76, 80, 81, 87, 91], "direct": [54, 55, 66, 67, 68, 79, 80, 81, 91, 94, 97, 98, 128, 129, 134, 144, 147, 149, 153, 158, 159], "neg": [54, 55, 67, 68, 80, 81, 147, 149, 151], "potenti": [54, 55, 57, 67, 68, 70, 80, 81, 84, 128, 132, 142, 144, 147, 149, 151, 158], "interactom": [54, 55, 67, 68], "hyperparamet": [54, 55, 64, 65, 67, 68, 77, 78, 80, 81, 92, 93, 140, 147], "proport": [54, 55, 67, 68, 80, 81], "dens": [54, 55, 57, 58, 61, 63, 67, 68, 70, 71, 74, 76, 80, 81, 84, 85, 88, 91, 94, 147], "get_triplet": [54, 55, 67, 68, 83], "long": [54, 55, 67, 68, 83, 134, 145, 147, 157], "distinct": [54, 55, 67, 68, 83, 141], "id3_ba": [54, 55, 63, 67, 68, 76], "num_triplet": [54, 55, 67, 68, 83, 87], "id3_ca": [54, 55, 63, 65, 67, 68, 76, 78], "id3_ragged_idx": [54, 55, 63, 67, 68, 76], "pad": [54, 55, 67, 68, 83], "select_symmetric_edg": [54, 55, 67, 68, 80, 81, 97, 98], "reorder_idx": [54, 55, 67, 68, 80, 81, 97, 98], "inverse_neg": [54, 55, 67, 68, 97, 98], "reorder_symmetric_edg": [54, 55, 67, 68], "edge_vector": [54, 55, 67, 68, 98], "reorder": [54, 55, 67, 68, 80, 81], "counter": [54, 55, 67, 68, 80, 81, 97, 98], "easier": [54, 55, 67, 68, 132, 154], "j": [54, 55, 67, 68, 80, 81, 97, 98, 100, 131, 132, 134, 139, 147, 153, 156], "lose": [54, 55, 67, 68, 80, 81, 97, 98], "symmetr": [54, 55, 67, 68, 80, 81, 91, 97, 98], "fix": [54, 55, 67, 68, 121, 122, 129, 138, 140, 148], "But": [54, 55, 67, 68, 133, 156], "seem": [54, 55, 67, 68, 132, 133, 135, 147], "worth": [54, 55, 67, 68, 134, 140], "select_edg": [54, 55, 67, 68], "generate_interaction_graph": [54, 55, 67, 68], "_standard": [56, 69, 82], "kernel": [56, 57, 69, 70, 82, 151, 153], "var": [56, 69, 82], "he_orthogonal_init": [56, 58, 69, 71, 82, 85], "varianc": [56, 69, 82, 140], "accord": [56, 69, 82, 132, 147, 149], "he": [56, 69, 82], "kaim": [56, 69, 82], "semi": [56, 69, 82], "orthogon": [56, 69, 82, 94], "decorrel": [56, 69, 82], "eg": [56, 69, 82], "overfit": [56, 69, 82, 132], "deep": [56, 69, 82], "exact": [56, 69, 82, 135], "solut": [56, 69, 82, 133, 147], "nonlinear": [56, 69, 82], "dynam": [56, 69, 82, 129, 147], "atomupdateblock": [57, 70, 84], "nhidden": [57, 70, 84], "atom_upd": [57, 70, 147], "get_mlp": [57, 70, 84], "units_in": [57, 70, 84], "h": [57, 61, 63, 70, 74, 76, 84, 88, 91, 129, 133, 142, 147, 149, 151, 153, 156, 157], "id_j": [57, 70], "outputblock": [57, 70, 84], "subsequ": [57, 60, 61, 70, 73, 74, 84, 87, 88, 151, 157], "nedg": [57, 60, 61, 63, 66, 70, 73, 74, 76, 79, 84, 88, 91, 94], "siqu": [58, 71], "residuallay": [58, 71, 85], "nlayer": [58, 71, 85, 153], "layer_kwarg": [58, 71, 85], "sqrt": [58, 71, 85, 151], "jn": [59, 72, 86], "numer": [59, 72, 80, 81, 86, 92, 93, 94, 147], "bessel": [59, 64, 65, 72, 77, 78, 86, 92, 93], "jn_zero": [59, 72, 86], "exclud": [59, 72, 86], "spherical_bessel_formula": [59, 72, 86], "sympi": [59, 72, 86], "bessel_basi": [59, 72, 86], "total": [59, 72, 83, 86, 87, 129, 133, 134, 138, 147, 153, 158], "bess_basi": [59, 72, 86], "sph_harm_prefactor": [59, 72, 86], "l_degre": [59, 72, 86], "m_order": [59, 72, 86], "constant": [59, 72, 86, 153, 156], "pre": [59, 72, 86, 132, 135, 147, 158], "associated_legendre_polynomi": [59, 72, 86], "l_maxdegre": [59, 72, 86], "zero_m_onli": [59, 72, 86, 133], "pos_m_onli": [59, 72, 86], "legendr": [59, 72, 86], "polynomi": [59, 64, 72, 77, 86, 92, 132, 147, 157], "overwritten": [59, 72, 86], "els": [59, 72, 86, 132, 133, 154, 157], "real_sph_harm": [59, 72, 86], "use_theta": [59, 72, 86], "use_phi": [59, 72, 86], "real": [59, 72, 86], "coordin": [59, 72, 86, 100, 129, 153, 158], "phi": [59, 72, 86], "theta": [59, 72, 86, 98, 100], "cartesian": [59, 72, 86, 129, 158], "y": [59, 66, 72, 79, 86, 94, 138, 140, 142, 147, 149, 151, 153, 156, 157], "noth": [59, 72, 86, 147], "y_lm_real": [59, 72, 86], "sph": [59, 60, 72, 73, 86, 87, 107], "harm": [59, 72, 86], "efficientinteractiondownproject": [60, 73], "emb_size_interm": [60, 73, 87], "reformul": [60, 73, 87], "intermedi": [60, 73, 83, 87, 147], "kernel_initi": [60, 73], "id_ca": [60, 73], "id_ragged_idx": [60, 73], "kmax": [60, 73, 76, 87], "rbf_w1": [60, 73], "efficientinteractionbilinear": [60, 73, 87], "emb_siz": [60, 61, 73, 74, 87, 88, 147], "units_out": [60, 73], "summat": [60, 65, 73, 78, 87], "id_reduc": [60, 73], "m_db": [60, 73], "m_ba": [60, 73], "m_ca": [60, 73, 87], "atomembed": [61, 74, 88, 147], "edgeembed": [61, 74, 88, 147], "atom_featur": [61, 74, 88], "edge_featur": [61, 74, 88], "m_rbf": [61, 74, 147], "idx_": [61, 63, 74, 76, 147], "idx_t": [61, 63, 74, 76, 133, 147], "nfeatur": [61, 74], "m_st": [61, 74, 88, 147], "interactionblocktripletsonli": [63, 76], "dt": [63, 76, 134, 139, 144, 146, 147, 158], "rbf3": [63, 76], "cbf3": [63, 76], "id_swap": [63, 76, 91], "rbf_h": [63, 76], "tripletinteract": [63, 76, 91], "emb_size_bilinear": [63, 76], "hadamard": [63, 76], "product": [63, 66, 76, 79, 94, 147], "polynomialenvelop": [64, 77, 92, 147], "expon": [64, 77, 92, 132, 147, 157], "d_scale": [64, 77, 92, 147], "exponentialenvelop": [64, 77, 92], "exponenti": [64, 77, 92, 110], "propos": [64, 77, 92], "unk": [64, 77, 92], "chmiela": [64, 77, 92], "gastegg": [64, 77, 92], "sch\u00fctt": [64, 77, 92, 97, 98], "sauceda": [64, 77, 92], "m\u00fcller": [64, 77, 92], "2021": [64, 77, 92, 97, 98, 139, 146, 147, 150, 154], "spookynet": [64, 77, 92], "field": [64, 77, 92], "freedom": [64, 77, 92, 154], "nonloc": [64, 77, 92], "effect": [64, 77, 80, 81, 92, 147, 154], "sphericalbesselbasi": [64, 77, 92], "1d": [64, 77], "bernsteinbasi": [64, 77, 92], "pregamma_initi": [64, 77, 92], "45264": [64, 77, 92], "bernstein": [64, 77, 92], "a_0": [64, 77, 92], "94486": [64, 77, 92], "invers": [64, 77, 92], "softplu": [64, 77, 92], "pregamma": [64, 77, 92], "radialbasi": [64, 65, 77, 78, 92, 93, 147], "circularbasislay": [65, 78, 93], "2d": [65, 78, 93], "fourier": [65, 78, 93], "d_ca": [65, 78, 93, 133], "cos\u03c6_cab": [65, 78, 80, 81, 93, 133], "read_json": [66, 79], "update_json": [66, 79], "write_json": [66, 79], "read_value_json": [66, 79], "ragged_rang": [66, 79, 94], "repeat_block": [66, 79, 94, 99], "continuous_index": [66, 79, 94, 99], "start_idx": [66, 79, 94, 99], "block_inc": [66, 79, 94, 99], "repeat_inc": [66, 79, 94, 99], "stackoverflow": [66, 79, 94, 99], "question": [66, 79, 94, 99, 140, 146], "51154989": [66, 79, 94, 99], "consecut": [66, 79, 94, 99], "increment": [66, 79, 94, 99], "repetit": [66, 79, 94, 99], "9": [66, 79, 94, 99, 129, 132, 133, 134, 135, 138, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "13": [66, 79, 94, 99, 129, 132, 134, 135, 138, 142, 144, 147, 148, 149, 151, 153, 154, 157], "calculate_interatomic_vector": [66, 79, 94], "id_": [66, 79, 94], "id_t": [66, 79, 94], "offsets_st": [66, 79, 94], "pair": [66, 79, 91, 94, 117, 121, 122, 147, 158], "d_st": [66, 79, 94, 147], "v_st": [66, 79, 80, 81, 94, 147], "inner_product_norm": [66, 79], "inner": [66, 79, 94, 147], "mask_neighbor": [66, 79, 94], "edge_mask": [66, 79, 94], "graphparallelgemnett": [67, 68], "scale_num_block": [67, 68], "scatter_atom": [67, 68], "scatter_sum": 70, "dim_siz": [70, 94, 98, 147], "torch_scatt": [70, 135, 147], "dense_rbf_f": 70, "out_forc": [70, 147], "out_energi": [70, 147], "num_in_featur": [71, 107], "num_out_featur": [71, 74], "edge_offset": [73, 76], "gemnetoc": [80, 81, 133, 147, 156], "emb_size_trip_in": [80, 81, 91, 132, 147, 157], "emb_size_trip_out": [80, 81, 91, 132, 147, 157], "emb_size_quad_in": [80, 81, 91, 132, 147, 157], "emb_size_quad_out": [80, 81, 91, 132, 147, 157], "emb_size_aint_in": [80, 81, 132, 147, 157], "emb_size_aint_out": [80, 81, 132, 147, 157], "emb_size_sbf": [80, 81, 91, 132, 147, 157], "num_output_afteratom": [80, 81, 132, 147, 157], "num_atom_emb_lay": [80, 81, 91, 132, 147, 157], "num_global_out_lay": [80, 81, 132, 147, 157], "scale_backprop_forc": [80, 81], "cutoff_qint": [80, 81, 132, 147, 157], "cutoff_aeaint": [80, 81, 132, 147, 157], "cutoff_aint": [80, 81, 132, 147, 157], "max_neighbors_qint": [80, 81, 132, 147, 157], "max_neighbors_aeaint": [80, 81, 132, 147, 157], "max_neighbors_aint": [80, 81, 132, 147, 157], "rbf_spheric": [80, 81], "forces_coupl": [80, 81, 132, 147, 157], "quad_interact": [80, 81, 91, 132, 147, 157], "atom_edge_interact": [80, 81, 91, 132, 133, 147, 157], "edge_atom_interact": [80, 81, 91, 132, 147, 157], "atom_interact": [80, 81, 91, 132, 147, 157], "scale_basi": [80, 81, 92, 93, 133], "qint_tag": [80, 81, 132, 147, 157], "ad": [80, 81, 84, 129, 130, 138, 141, 147, 149, 150, 151, 153], "inf": [80, 81, 89], "backpropag": [80, 81], "f_st": [80, 81], "f_t": [80, 81], "No": [80, 81, 132, 133, 134, 144, 147, 151, 153, 154], "dihedr": [80, 81], "stabil": [80, 81, 92, 93, 132, 140], "sub": [80, 81, 141, 147, 149], "surfac": [80, 81, 129, 130, 138, 139, 140, 147, 148, 149, 152, 153, 154, 156], "adsorb": [80, 81, 130, 138, 139, 140, 141, 144, 147, 148, 149, 152, 153, 158], "set_cutoff": [80, 81], "set_max_neighbor": [80, 81], "init_basis_funct": [80, 81], "init_shared_basis_lay": [80, 81], "calculate_quad_angl": [80, 81, 133], "v_qint_st": [80, 81], "quad_idx": [80, 81, 91, 133], "relev": [80, 81, 91, 142, 147, 151], "num_triplets_inint": [80, 81], "cos\u03c6_abd": [80, 81, 133], "num_triplets_qint": [80, 81], "angle_cabd": [80, 81, 133], "num_quadruplet": [80, 81, 87, 133], "opposite_neg": [80, 81], "opposit": [80, 81], "tensor_ord": [80, 81], "symmetrize_edg": [80, 81, 97, 98], "batch_idx": [80, 81, 97, 98], "subselect_edg": [80, 81], "stricter": [80, 81], "generate_graph_dict": [80, 81], "nearest": [80, 81, 121, 122, 148], "subselect_graph": [80, 81], "cutoff_orig": [80, 81], "max_neighbors_orig": [80, 81], "get_graphs_and_indic": [80, 81, 133], "get_bas": [80, 81, 133], "main_graph": [80, 81, 83, 133], "a2a_graph": [80, 81, 91, 133], "a2ee2a_graph": [80, 81, 91, 133], "qint_graph": [80, 81, 83, 133], "trip_idx_e2": [80, 81, 91, 133], "trip_idx_a2": [80, 81, 91, 133], "trip_idx_e2a": [80, 81, 91, 133], "grid_init": 82, "end": [82, 107, 132, 141, 147, 153], "log_grid_init": 82, "logarithm": 82, "get_initi": 82, "init_kwarg": 82, "stem": 83, "out_agg": 83, "via": [83, 98, 117, 141, 157, 158], "matmul": 83, "get_mixed_triplet": 83, "graph_in": 83, "graph_out": 83, "to_outedg": 83, "return_adj": 83, "return_agg_idx": 83, "ingo": 83, "outgo": 83, "incom": 83, "henc": 83, "adjac": 83, "incid": 83, "adj_edg": 83, "sparsetensor": [83, 94], "num_edg": [83, 87, 88, 147], "get_quadruplet": 83, "care": [83, 133, 147, 153], "about": [83, 128, 129, 130, 132, 134, 138, 144, 147, 151, 153, 154, 156, 159], "triplet_in": 83, "ntriplet": 83, "triplet_out": 83, "nquadruplet": 83, "trip_in_to_quad": 83, "trip_out_to_quad": [83, 133], "basis_rad": 84, "idx_atom": 84, "nhidden_afteratom": 84, "insid": 85, "get_sph_harm_basi": [86, 133], "basisembed": 87, "emb": [87, 147, 156], "rad_basi": [87, 91, 133], "sph_basi": [87, 133], "idx_rad_out": 87, "idx_rad_inn": 87, "idx_sph_out": 87, "idx_sph_inn": 87, "num_ord": 87, "rad_w1": 87, "emb_size_in": [87, 91], "emb_size_out": [87, 91], "idx_agg_out": 87, "idx_agg_inn": 87, "idx_agg2_out": 87, "idx_agg2_inn": [87, 91], "agg2_out_s": [87, 91], "twice": [87, 134], "typic": [87, 110, 147, 149, 153, 158], "forcescal": 89, "init_scal": 89, "growth_factor": 89, "backoff_factor": 89, "growth_interv": 89, "2000": [89, 134, 142], "max_force_it": 89, "gradscal": [89, 132, 133, 134, 144, 147, 151, 153, 154, 157], "unscal": 89, "calc_forc": 89, "calc_forces_and_upd": 89, "interactionblock": 91, "emb_size_a2a_in": 91, "emb_size_a2a_out": 91, "q": [91, 147], "dq": 91, "bases_qint": [91, 133], "bases_e2": [91, 133], "bases_a2": [91, 133], "bases_e2a": [91, 133], "basis_a2a_rad": [91, 133], "basis_atom_upd": [91, 133], "edge_index_main": 91, "quadrupletinteract": 91, "symmetric_mp": 91, "swap_output": 91, "swap": [91, 158], "expand_idx": 91, "idx_agg2": 91, "pairinteract": 91, "emb_size_pair_in": 91, "emb_size_pair_out": 91, "target_neighbor_idx": 91, "gaussianbasi": [92, 133], "stop": [92, 104, 129, 133, 147], "trainabl": 92, "sphericalbasislay": [93, 133], "3d": [93, 147], "\u03b8_cabd": [93, 133], "masked_select_sparsetensor_flat": 94, "torch_spars": [94, 135], "inner_product_clamp": 94, "get_angl": 94, "r_ac": 94, "r_ab": 94, "angle_cab": 94, "vector_reject": 94, "p_n": 94, "onto": 94, "plane": 94, "r_ab_proj": 94, "get_projected_angl": 94, "0001": [94, 147], "former": [94, 110], "would": [94, 134, 141, 142, 147, 149, 151, 153, 154], "ill": 94, "unstabl": 94, "norm": [94, 113], "angle_ab": 94, "get_neighbor_ord": 94, "get_inner_idx": 94, "get_edge_id": [94, 99], "edge_idx": [94, 99], "available_pretrained_model": [95, 96, 134, 144, 158], "model_name_to_local_fil": [95, 96, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157, 158], "download": [95, 96, 131, 135, 138, 139, 140, 141, 144, 153, 154, 158], "alreadi": [95, 96, 128, 133, 142, 146, 153, 157], "available_pretrained_checkpoint": [95, 96], "num_rbf": [97, 98], "descript": [97, 98, 146, 147], "et": [97, 98, 147, 151], "al": [97, 98, 142, 147, 151], "tensori": [97, 98], "molecular": [97, 98, 121, 122, 129, 147, 158], "spectra": [97, 98], "arxiv": [97, 98, 131, 139, 142, 146, 147, 153], "org": [97, 98, 132, 134, 135, 139, 141, 142, 147, 151, 153, 156], "ab": [97, 98, 132, 134, 139, 142], "2102": [97, 98], "03150": [97, 98], "reorder_tensor": [97, 98], "reorder_tensors_invneg": [97, 98], "symmetric_edge_symmetr": [97, 98, 132, 133, 144, 157], "generate_graph_valu": [97, 98], "www": 98, "compscienc": 98, "painnmessag": 98, "messagepass": 98, "mathbf": [98, 100], "_i": [98, 100, 133], "prime": [98, 100], "gamma_": 98, "left": [98, 129, 132, 151, 152, 155], "bigoplus_": 98, "mathcal": [98, 100], "phi_": 98, "_j": [98, 100], "_": [98, 100, 133, 134, 151, 154, 156], "bigoplu": 98, "denot": [98, 147, 149], "permut": [98, 158], "mul": 98, "accompani": [98, 130], "tutori": [98, 132, 134, 138, 141, 144, 145, 146, 149, 152, 153, 155, 157], "aggr": 98, "scheme": [98, 141, 147, 151, 154], "resolv": [98, 134], "logic": [98, 133], "aggr_kwarg": 98, "respect": [98, 100, 141, 147], "flow": 98, "source_to_target": 98, "target_to_sourc": 98, "node_dim": 98, "propag": 98, "decomposed_lay": 98, "decomposit": 98, "introduc": [98, 153, 158], "platform": [98, 158], "peak": [98, 147, 156], "acceler": [98, 143, 147, 158], "execut": [98, 132, 140], "3x": 98, "reddit": 98, "gcn": 98, "graphsag": 98, "gin": 98, "easili": [98, 147, 156], "decompos": 98, "hardwar": [98, 135, 141], "resourc": [98, 128, 148, 153], "suitabl": 98, "although": [98, 128, 132, 141, 147], "granular": 98, "necessarili": [98, 134], "reset": 98, "learnabl": [98, 158], "vec": 98, "edge_rbf": 98, "xh_j": 98, "vec_j": 98, "rbfh_ij": 98, "r_ij": 98, "analogi": 98, "furthermor": 98, "x_i": 98, "x_j": 98, "By": [98, 132, 140, 147, 154], "deleg": 98, "underli": [98, 129], "v": [98, 117, 121, 122, 132, 142, 147, 152], "painnupd": 98, "painnoutput": 98, "gatedequivariantblock": 98, "schnetwrap": 100, "num_filt": 100, "num_interact": [100, 101, 103], "readout": 100, "quantum": [100, 134, 147], "sum_": 100, "odot": 100, "h_": [100, 147, 153], "mu": 100, "unus": 100, "account": [100, 121, 122, 147, 153], "molecul": [100, 138, 147, 148, 149, 156], "sphericalchannelnetwork": [101, 103], "max_num_neighbor": [101, 103], "num_resolut": [101, 103], "sphere_channels_reduc": [101, 103], "num_tap": [101, 103, 105], "num_band": [101, 103, 105], "num_basis_funct": [101, 103], "further": [101, 103, 132, 133], "awai": [101, 103, 147], "lower": [101, 103, 142, 147, 153, 156], "downsampl": [101, 103], "upsampl": [101, 103], "tap": [101, 103, 105, 142], "pointwis": [101, 103, 105], "band": [101, 103, 105], "1x1": [101, 103, 105, 153], "energy_fc1": [101, 103], "energy_fc2": [101, 103], "energy_fc3": [101, 103], "force_fc1": [101, 103], "force_fc2": [101, 103], "force_fc3": [101, 103], "_forward_help": [101, 103], "_rank_edge_dist": [101, 103], "calcspherepoint": 102, "num_point": 102, "calcspherepointsrandom": 102, "hidden_channels_list": 103, "cutoff_list": 103, "sphharm_list": 103, "cutoff_index": 103, "sphharm": 103, "distanceblock": 103, "gaussiansmear": [104, 107, 147], "sigmoidsmear": 104, "num_sigmoid": 104, "linearsigmoidsmear": 104, "silusmear": 104, "num_output": 104, "sphericalharmonicshelp": 105, "initwignerdmatrix": 105, "inityrotmap": 105, "togrid": 105, "fromgrid": 105, "combineyrot": 105, "flipgrid": 105, "rotateinv": 105, "rotatewign": 105, "rotationmatrix": 105, "rot_x": 105, "rot_i": 105, "rot_z": 105, "slope": [106, 151], "sine": 107, "w0": 107, "30": [107, 132, 134, 142, 147, 149, 154, 157], "siren": 107, "sinesmear": 107, "num_freq": 107, "use_cosin": 107, "fouriersmear": 107, "basis_typ": 107, "powersin": 107, "ssp": 107, "sphericalsmear": 107, "sequenti": [107, 147], "edge_attr_sph": 107, "max_n": 107, "task_metr": 109, "task_primary_metr": [109, 157], "eval": 109, "prev_metr": 109, "stat": [109, 116, 117, 151], "forcesx_ma": [109, 132, 147, 157], "hashabl": 109, "forcesx_ms": 109, "forcesy_ma": [109, 132, 147, 157], "forcesy_ms": 109, "forcesz_ma": [109, 132, 147, 157], "forcesz_ms": 109, "energy_forces_within_threshold": [109, 132, 147, 157], "energy_within_threshold": [109, 147], "average_distance_within_threshold": 109, "min_diff": 109, "pred_po": 109, "dft_po": 109, "cosine_similar": [109, 132, 147, 154, 156, 157], "mae": [109, 112, 132, 134, 139, 147, 157], "mse": [109, 147], "magnitude_error": [109, 132, 147, 157], "p": [109, 132, 142, 147, 151], "improv": [110, 132, 133, 134, 147, 153, 154], "fadel": 110, "pytorch_ema": 110, "exponentialmovingaverag": 110, "use_num_upd": 110, "move": [110, 133, 147, 149], "_get_paramet": 110, "usual": [110, 132, 140, 147, 153, 158], "copy_to": 110, "restor": [110, 113], "temporarili": 110, "ema": [110, 157], "affect": [110, 129, 147, 148, 151, 153], "l2maeloss": 112, "reduct": [112, 151, 153], "atomwisel2loss": 112, "ddploss": 112, "denorm": 113, "normed_tensor": 113, "scaledict": 114, "_load_scale_dict": 114, "pickl": [114, 129, 130, 138, 140, 147, 151], "load_scales_compat": 114, "_prefilled_input": 115, "prompt": 115, "prefil": 115, "_train_batch": 115, "basetrain": [115, 125, 126, 127, 157], "num_batch": 115, "scalefactor": [116, 117], "enforce_consist": [116, 117], "index_fn": [116, 117], "indexfn": [116, 117], "_stat": [116, 117], "_enforce_consist": [116, 117], "prefix": [116, 117], "_local_metadata": [116, 117], "_strict": [116, 117], "_missing_kei": [116, 117], "_unexpected_kei": [116, 117], "_error_msg": [116, 117], "reset_": [116, 117], "set_": [116, 117], "initialize_": [116, 117], "fit_context_": [116, 117], "fit_": [116, 117], "_observ": [116, 117], "ref": [116, 117, 129, 153], "typeddict": 117, "variance_in": 117, "variance_out": 117, "n_sampl": 117, "_check_consist": 117, "ensure_fit": 118, "lr": [119, 147], "null": [119, 147, 157], "section": [119, 129, 132, 139, 142, 147, 151, 152, 153, 155], "datatransform": 120, "decompose_tensor": 120, "aseatomsadaptor": 121, "shell": [121, 132, 158], "r_distanc": [121, 122, 138, 147, 148], "r_edg": [121, 122, 148], "r_fix": [121, 122, 138, 147, 148], "r_pbc": [121, 122], "r_data_kei": [121, 122], "sequenc": [121, 122, 156, 157], "primari": [121, 122], "individu": [121, 122, 133, 142], "lastli": [121, 122], "put": [121, 122, 132, 138, 147], "binari": [121, 122, 134, 147], "angstom": [121, 122], "_get_neighbors_pymatgen": [121, 122], "preform": [121, 122], "_reshape_featur": [121, 122], "c_index": [121, 122], "n_index": [121, 122], "n_distanc": [121, 122], "arrai": [121, 122, 132, 133, 134, 147, 149, 154, 156, 157, 158], "sid": [121, 122, 130, 138, 147, 148], "downstream": [121, 122], "geomet": [121, 122], "r_properti": [121, 122], "convert_al": [121, 122, 138, 147, 148], "atoms_collect": [121, 122], "processed_file_path": [121, 122], "collate_and_sav": [121, 122], "disable_tqdm": [121, 122, 125, 126, 127, 133, 138, 147, 148], "sqlite3databas": [121, 122], "predicttask": [123, 124], "relaxationtask": [123, 124], "_process_error": [123, 124, 157], "validatetask": [123, 124], "inherit": [125, 126], "_unwrapped_model": [125, 126, 156], "disable_eval_tqdm": [125, 126, 127, 157], "_get_timestamp": [125, 126], "suffix": [125, 126], "set_se": [125, 126], "load_seed_from_config": [125, 126], "load_logg": [125, 126], "get_sampl": [125, 126], "get_dataload": [125, 126], "load_dataset": [125, 126], "load_task": [125, 126], "load_model": [125, 126], "load_loss": [125, 126], "load_optim": [125, 126], "training_st": [125, 126, 157], "update_best": [125, 126], "primary_metr": [125, 126, 132, 147, 157], "_backward": [125, 126], "save_result": [125, 126], "results_fil": [125, 126, 127, 133, 147], "_compute_loss": [126, 127], "_compute_metr": [126, 127], "data_load": [126, 127, 133], "per_imag": [126, 127, 133], "run_relax": [126, 127, 147], "conveni": [128, 129], "peopl": 128, "who": [128, 138], "try": [128, 133, 147, 153, 157], "tool": [128, 156], "necessari": [128, 130, 132, 134, 135, 138, 140, 141, 147, 149, 151, 154], "suffici": [128, 132, 147, 156], "high": [128, 132, 140, 142, 147, 156, 158], "throughput": [128, 138], "fast": [128, 138, 149, 151], "enough": [128, 147, 149, 156], "gpu": [128, 129, 132, 133, 134, 140, 141, 147, 151, 154, 157], "effict": 128, "pleas": [128, 129, 130, 131, 132, 133, 135, 138, 139, 140, 141, 142, 144, 146, 147, 156], "awar": [128, 147], "bottleneck": 128, "our": [128, 129, 130, 131, 134, 141, 146, 147, 149, 151, 154, 156, 157], "extrem": [128, 149], "feasibl": 128, "y_relax": [128, 138, 147], "smaller": [128, 133, 147], "infrastructur": 128, "reader": [128, 147], "ase_read": 128, "tell": [128, 133], "ase_read_multi": 128, "due": [129, 147, 153], "minor": 129, "bug": 129, "earlier": [129, 147], "is2": 129, "readi": 129, "script": [129, 138, 141, 142, 147, 148, 157, 158], "readili": [129, 158], "download_data": [129, 138], "split_siz": 129, "worker": [129, 141, 147], "200k": [129, 134, 139, 144, 147, 158], "2m": [129, 133, 134, 139, 141, 144, 147, 158], "20m": [129, 134, 139, 144, 147, 158], "val_id": [129, 141], "val_ood_ad": 129, "val_ood_cat": 129, "val_ood_both": 129, "10x": 129, "5x": 129, "slowdown": 129, "parallel": [129, 138, 140, 141, 146, 151, 156], "referenc": [129, 139, 140, 142, 147, 149, 151, 153, 154], "command": [129, 132, 133, 134, 150, 157], "baselin": [129, 147], "symlink": 129, "accordingli": [129, 141, 147], "link": [129, 130, 131, 141, 143, 146, 147, 157], "good": [129, 132, 134, 147, 153, 154], "precomput": [129, 130, 131, 140], "uncompress": [129, 130, 131], "repositori": [129, 150], "four": 129, "subsplit": [129, 130, 147], "extrapol": [129, 153], "domain": [129, 131, 147, 151], "ood_ad": [129, 141], "unseen": 129, "ood_cat": [129, 141], "composit": [129, 130, 132, 151, 158], "ood_both": [129, 141], "ood": [129, 131, 141, 147], "tarbal": 129, "readm": [129, 147], "byte": [129, 130, 131], "md5": [129, 130, 131], "checksum": [129, 130, 131], "225g": 129, "1t": 129, "12a7087bfd189a06ccbec9bc7add2bcd": 129, "34g": [129, 130], "165g": 129, "863bc983245ffc0285305a1850e19cf7": 129, "4g": 129, "17g": 129, "953474cb93f0b08cdc523399f03f7c36": 129, "344m": 129, "7g": 129, "f8d0909c2623a393148435dede7d3a46": 129, "3g": 129, "f57f7f5c1302637940f2cc858e789410": 129, "2g": [129, 131], "431ab0d7557a4639605ba8b67793f053": 129, "532d6cd1fe541a0ddb0aa0f99962b7db": 129, "9g": 129, "5g": 129, "5731862978d80502bbf7017d68c2c729": 129, "30g": 129, "415g": 129, "bcada432482f6e87b24e14b6b744992a": 129, "rattl": [129, 134, 139, 144, 156, 158], "29g": 129, "136g": 129, "40431149b27b64ce1fb40cac4e2e064b": 129, "md": [129, 133, 134, 139, 144, 146, 147, 151, 153, 154, 158], "42g": 129, "306g": 129, "9fed845aaab8fb4bf85e3a8db57796e0": 129, "One": [129, 147, 156, 157], "tar": [129, 130, 131, 147], "gz": [129, 130, 131, 147], "broken": [129, 130, 147], "interest": [129, 138, 141, 147, 149, 150], "1g": [129, 131], "97g": 129, "cfc04dd2f87b4102ab2f607240d25fb1": 129, "challeng": [129, 130, 131, 139, 141, 146, 147], "aed414cdd240fbb5670b5de6887a138b": 129, "466k": 129, "109g": 129, "841g": 129, "9e3ed4d1e497bfdce4472ee70455edef": 129, "25k": [129, 147], "46g": 129, "fcb71363018fb1e7127db2500e39e11a": 129, "44g": 129, "5ced8ea84584aa229d31e693e0fb090f": 129, "0g": 129, "88dcc02fd8c174a72d2c416878fc44ff": 129, "35g": 129, "bc74b6474a13542cc56eaa97bd51adfc": 129, "few": [129, 132, 136, 140, 147, 153, 154, 158], "intention": 129, "294k": 129, "20g": [129, 130], "151g": 129, "347f4183465810e9b384e7a033baefc7": 129, "sever": [129, 132, 146, 147, 148, 149, 150, 157, 158], "analysi": [129, 151, 157], "theori": [129, 147, 151, 153, 158], "cm": 129, "utexa": 129, "edu": [129, 147], "henkelman": 129, "research": [129, 130, 131, 139, 142, 146, 147, 149, 158, 159], "dl": [129, 130, 141, 147], "fbaipublicfil": [129, 130, 141, 147], "opencatalystproject": [129, 130, 141, 147], "oc20_bader_data": 129, "aecc5e23542de49beceb4b7e44c153b9": 129, "bulk_mpid": 129, "materi": [129, 130, 132, 142, 147, 151, 158], "bulk_symbol": [129, 130], "chemic": [129, 130, 146, 147], "counterpart": [129, 130], "ads_symbol": [129, 130], "ads_id": 129, "82": [129, 132, 142, 147, 149, 153, 157], "bulk_id": [129, 130, 151], "11500": [129, 142], "miller_index": [129, 130], "miller": [129, 130, 134, 142, 154], "shift": [129, 142], "nomenclatur": 129, "pymatgen": [129, 158], "top": [129, 132, 142, 147, 153], "chosen": 129, "bottom": [129, 147, 149], "adsorption_sit": 129, "bind": [129, 142, 147, 153], "class": [129, 140, 142, 147, 148, 157], "intermetal": 129, "metalloid": 129, "metal": 129, "halid": 129, "anomali": [129, 154], "off": [129, 132, 138, 147, 149, 156], "heurist": [129, 151, 154], "taken": [129, 134], "perfect": [129, 132], "classif": 129, "dissoci": [129, 147, 151, 153], "desorpt": [129, 151], "reconstruct": [129, 151], "incorrect": 129, "chcoh": 129, "placement": [129, 142, 151, 154], "appear": [129, 158], "chco": [129, 142], "lone": 129, "uninteract": 129, "far": [129, 147], "oc20_data_map": 129, "pkl": [129, 130, 140, 141, 151], "01c879067a05b4288055a1fdf821e068": 129, "random2181546": 129, "6510": 129, "69": [129, 132, 147, 149, 153, 157], "mp": [129, 130, 142, 151, 154], "22179": [129, 142], "si2ti2y2": 129, "n2": [129, 142, 147, 149, 153], "145": [129, 147, 157], "85": [129, 142, 147, 149, 157], "pqr": 129, "mapping_adslab_slab": 129, "079041076c3f15d18ecb5d17c509cdf": 129, "random1981709": 129, "random533137": 129, "releas": [129, 139, 142, 146, 147], "modif": 129, "had": [129, 147, 156, 158], "led": [129, 147], "350k": 129, "130m": 129, "stitch": 129, "actual": [129, 147, 156], "133953162": 129, "133934018": 129, "1000000": 129, "999866": 129, "999838": 129, "999809": 129, "999944": 129, "test_id": 129, "999736": 129, "test_ood_ad": 129, "999859": 129, "test_ood_cat": 129, "999826": 129, "test_ood_both": 129, "999973": 129, "461313": 129, "460328": 129, "24946": 129, "24943": 129, "24966": 129, "24961": 129, "24988": 129, "24963": 129, "24987": 129, "24951": 129, "24948": 129, "24931": 129, "24930": 129, "24967": 129, "24965": 129, "24986": 129, "24985": 129, "24936": 129, "creativ": [129, 130, 131, 139], "manuscript": [129, 130, 131, 139], "articl": [129, 130, 131, 132, 139, 142, 146], "ocp_dataset": [129, 139, 146], "chanussot": [129, 139, 146, 147], "lowik": [129, 139, 146, 147], "da": [129, 130, 131, 139, 142, 146, 147], "abhishek": [129, 130, 131, 139, 142, 146, 147], "goyal": [129, 130, 139, 146, 147], "siddharth": [129, 130, 139, 146, 147], "lavril": [129, 139, 146, 147], "thibaut": [129, 139, 146, 147], "shuaibi": [129, 130, 139, 142, 146, 147], "muham": [129, 130, 139, 142, 146, 147], "rivier": [129, 139, 146, 147], "morgan": [129, 139, 146, 147], "tran": [129, 130, 139, 146, 147], "kevin": [129, 139, 146, 147], "hera": [129, 130, 139, 146, 147], "domingo": [129, 130, 139, 146, 147], "javier": [129, 130, 139, 146, 147], "ho": [129, 139, 146, 147], "caleb": [129, 139, 146, 147], "hu": [129, 139, 146, 147], "weihua": [129, 139, 146, 147], "palizhati": [129, 139, 142, 146, 147], "aini": [129, 139, 142, 146, 147], "sriram": [129, 130, 131, 139, 146, 147], "anuroop": [129, 130, 131, 139, 146, 147], "wood": [129, 130, 139, 142, 146, 147], "brandon": [129, 130, 139, 142, 146, 147], "yoon": [129, 139, 146, 147], "junwoong": [129, 139, 146, 147], "parikh": [129, 139, 146, 147], "devi": [129, 139, 146, 147], "zitnick": [129, 130, 136, 139, 142, 146, 147], "lawrenc": [129, 130, 139, 142, 146, 147], "ulissi": [129, 130, 131, 139, 142, 146, 147], "zachari": [129, 130, 131, 139, 142, 146, 147], "commun": [129, 139, 146, 147], "journal": [129, 130, 131, 139, 142, 146], "ac": [129, 130, 132, 139, 146, 147, 151], "catalysi": [129, 130, 139, 144, 146, 147, 151, 158], "year": [129, 130, 131, 139, 142, 146, 158], "doi": [129, 132, 134, 139, 146, 151, 153, 156], "1021": [129, 132, 139, 146, 151, 153], "acscat": [129, 139, 146, 151], "0c04525": [129, 139, 146], "symbol": [129, 132, 142, 151, 153, 156], "o": [129, 132, 133, 134, 138, 142, 144, 147, 149, 151, 153, 154, 156, 157], "1006m": 129, "d4151542856b4b6405f276808f75358a": 129, "850m": 129, "3697f04faf04251a23da8b88a78209f7": 129, "oh": [129, 142], "6g": 129, "a21081f3f55eb0c98a91021bbe3dac44": 129, "oh2": [129, 142], "8g": 129, "b12b706854f5d899e02a9ae6578b5d45": 129, "e4fe9890764fcf59e01e3ceab089b978": 129, "ch": [129, 142], "ec9aa2c4c4bd4419359438ba7fbb881d": 129, "cho": [129, 142], "d32200f74ad5c3bfd42e8835f36d57ab": 129, "coh": [129, 142], "5418a1b331f6c7689a5405cca4cc8d15": 129, "ch2": [129, 142], "8ee1066149c305d7c17c219b369c5a73": 129, "960c2450814024b66f3c79121179ac60": 129, "choh": [129, 142], "60ac9f965f9589a3389483e3d1e58144": 129, "ch3": [129, 142, 156], "7e123e6f4fb10d6897be3f47721dfd4a": 129, "och3": [129, 142], "0823047bbbe05fa0e63f9d83ec601487": 129, "ch2oh": [129, 142], "9ac71e198d75b1427182cd34abb73e4d": 129, "ch4": [129, 133, 142], "a405ce403018bf8afbd4425d5c0b34d5": 129, "ohch3": [129, 142], "d3c829f1952db6e4f428273ee05f59b1": 129, "d687a151345305897b9245af4b0f9967": 129, "cco": [129, 142], "214ca96e620c5ec6e8a6ff8144a22a04": 129, "cch": [129, 142], "da2268545e80ca1664026449dd2fdd24": 129, "386c99407fe63080d26cda525dfdd8cd": 129, "ccho": [129, 142], "918b20960438494ab160a9dbd9668157": 129, "cocho": [129, 142], "84424aa2ad30301e23ece1438ea39923": 129, "cchoh": [129, 142], "3cc90425ec042a70085ba7eb2916a79a": 129, "cch2": [129, 142], "9dbcf7566e40965dd7f8a186a75a718": 129, "a193b4c72f915ba0b21a41790696b23c": 129, "co": [129, 133, 142, 147, 149, 150, 153, 154], "de83cf50247f5556fa4f9f64beff1eeb": 129, "chcho": [129, 142], "1d140aaa2e7b287124ab38911a711d70": 129, "682d8a6b05ca5948b34dc5e5f6bbcd61": 129, "coch2o": [129, 142], "c8742faa8ca40e8edb4110069817fa70": 129, "8cfbb67beb312b98c40fcb891dfa480a": 129, "cohcho": [129, 142], "6ffa903a62d8ec3319ecec6a03b06276": 129, "cohcoh": [129, 142], "caca0058b641bfdc9f8de4527e60feb7": 129, "cch3": [129, 142], "906543aaefc171edab388ff4f0fe8a20": 129, "chch2": [129, 142], "4dfab479495f76179749c1956046fbd8": 129, "coch3": [129, 142], "29d1b992715054e920e8bb2afe97b393": 129, "chchoh": [129, 142], "9e5912df6f7b11706d1046cdb9e3087": 129, "cch2oh": [129, 142], "7bcae43cee451306e34ec416588a7f09": 129, "chochoh": [129, 142], "f98866d08fe3451ae7ebc47bb51599aa": 129, "coch2oh": [129, 142], "bfaf689e5827fcf26c51e567bb8dd1b": 129, "cohchoh": [129, 142], "236fe4e950aa2fbdde94ef2821fb48d2": 129, "ochch3": [129, 142], "66acc5460a999625c3364f0f3bcca871": 129, "cohch3": [129, 142], "bb4a01956736399c8cee5e219f8c1229": 129, "chohch2": [129, 142], "e836de4ec146b1b611533f1ef682cac": 129, "chch2oh": [129, 142], "66df44121806debef6dc038df7115d1d": 129, "och2choh": [129, 142], "ff6981fdbcd2e65d351505c15d218d76": 129, "choch2oh": [129, 142], "448f7d352ab6e32f754e24de64ca302a": 129, "cohch2oh": [129, 142], "8bff6bf3e10cc84acc4a283a375fcc23": 129, "chohchoh": [129, 142], "9c9e4d617d306751760a80f1453e71f1": 129, "ch2ch3": [129, 142], "ec1e964d2ee6f468fa5773743e3994a4": 129, "och2ch3": [129, 142], "d297b27b02822f9b6af80bdb64aee819": 129, "chohch3": [129, 142], "368de083dafdc3bbdb560d35e2a102c0": 129, "ch2ch2oh": [129, 142], "3c1aaf790659f7ff89bf1eed8b396b63": 129, "chohch2oh": [129, 142], "2d71adb9e305e6f3bca49e5df9b5a86a": 129, "ohch2ch3": [129, 142], "cf51128f8522b7b66fc68d79980d6def": 129, "nh2n": [129, 142], "36ba974d80c20ff636431f7c0ad225da": 129, "onn": [129, 142], "fdc4cd19977496909d61be4aee61c4f1": 129, "ohnnch3": [129, 142], "50a6ff098f9ba7adbba9ac115726cc5a": 129, "onh": [129, 142], "47573199c545afe46c554ff756c3e38f": 129, "nhnh": [129, 142], "dd456b7e19ef592d9f0308d911b91d7c": 129, "nh": [129, 142, 151], "c05289fd56d64c74306ebf57f1061318": 129, "no2no2": [129, 142], "4822a06f6c5f41bdefd3cbbd8856c11f": 129, "2a27de122d32917cc5b6ac0a21c63c1c": 129, "cc668fecf679b6edaac8fd8fb9cdd404": 129, "onnh2": [129, 142], "dff880f1a5baa7f67b52fd3ed745443d": 129, "nh2": [129, 142], "c7f383b50faa6244e265c9611466cb8f": 129, "nh3": [129, 142], "2b355741f9300445703270e0e4b8c01c": 129, "nonh": [129, 142], "48877a0c6f2994baac82cb722711aaa2": 129, "7979b9e7ab557d6979b33e352486f0ef": 129, "no2": [129, 142], "9f352fbc32bb2b8caf4788aba28b2eb7": 129, "482ee306a5ae2eee78cac40d10059ebc": 129, "bfb6e03d4a687987ff68976f0793cc46": 129, "no3": [129, 142], "700834326e789a6e38bf3922d9fcb792": 129, "ohnh2": [129, 142], "fa24472e0c02c34d91f3ffe6b77bfb11": 129, "onoh": [129, 142], "4ddcccd62a834a76fe6167461f512529": 129, "cn": [129, 142], "bc7c55330ece006d09496a5ff01d5d50": 129, "txt": [129, 132, 134, 151, 157], "text": [129, 147, 149], "describ": [129, 141, 142], "extxyz": [129, 131, 147, 149], "xz": 129, "system_id": [129, 142], "81": [129, 132, 133, 142, 147, 149, 153, 157], "reference_energi": 129, "bare": [129, 147, 149], "ga": [129, 139, 140, 142, 147, 149], "adsorpt": [129, 130, 133, 138, 139, 140, 141, 142, 149, 151, 158], "lzma": 129, "formatopt": 129, "version": [130, 131, 135, 153, 158], "71g": 130, "ebea523c6f8d61248a37b4dd660b11e6": 130, "109m": 130, "424m": 130, "b35dc24e99ef3aeaee6c5c949903de94": 130, "80g": 130, "977b6be1cbac6864e63c4c7fbf8a3fc": 130, "traj_id": 130, "slab_sid": 130, "adosrb": 130, "nad": 130, "oc22_metadata": 130, "13dc06c6510346d8a7f614d5b26c8ffa": 130, "6877": 130, "559112": 130, "k2zn6o7_mp": 130, "559112_ryqxa0n0uc_ohyukozy3g": 130, "k4zn12o14": 130, "30859": [130, 142], "o2": [130, 153], "34815": 130, "18793": 130, "licro2_mp": 130, "18793_clean_3hdhbg6tiz": 130, "li2cr2o4": 130, "oc20_ref": [130, 140, 141], "043e1e0b0cce64c62f01a8563dbc3178": 130, "oc22_dataset": [130, 139], "richard": [130, 139], "lan": [130, 139, 142, 147], "janic": [130, 139, 142, 147], "kolluru": [130, 139, 147], "adeesh": [130, 139, 147], "rizvi": [130, 139], "ammar": [130, 139], "shoghi": [130, 139], "nima": [130, 139], "oxid": [130, 132, 139, 145, 157], "electrocatalyst": [130, 139, 147], "2023": [130, 142, 151, 158], "linker": 131, "topologi": 131, "172g": 131, "476g": 131, "162f0660b2f1c9209c5b57f7b9e545a7": 131, "232g": 131, "781g": 131, "381e72fd8b9c055065fd3afff6b0945b": 131, "18g": 131, "09913759c6e0f8d649f7ec9dff9e0e8b": 131, "809m": 131, "f7f2f58669a30abae8cb9ba1b7f2bcd2": 131, "mof": 131, "becaus": [131, 133, 138, 141, 147, 151, 153, 154], "calcuat": 131, "fail": [131, 134, 140, 142], "147m": 131, "534m": 131, "81927b78d9e4184cc3c398e79760126a": 131, "opendac": 131, "odac23_dataset": [131, 139], "sihoon": [131, 139], "choi": [131, 139], "xiaohan": [131, 139], "yu": [131, 139], "logan": [131, 139], "brabson": [131, 139], "matt": [131, 139, 142], "uyttendael": [131, 139, 142], "andrew": [131, 139, 147], "medford": [131, 139], "david": [131, 139], "sholl": [131, 139], "dac": [131, 139], "sorbent": [131, 139], "discoveri": [131, 139, 143, 147, 156], "preprint": [131, 139], "2311": [131, 139], "00341": [131, 139], "polymorph": 132, "come": [132, 135, 147, 148], "bo": 132, "epitaxi": 132, "growth": 132, "candid": [132, 147, 151], "mehta": 132, "salvador": 132, "kitchin": [132, 134, 153, 156], "2015": 132, "bo2": 132, "appl": 132, "mater": 132, "3630": 132, "3639": 132, "dx": [132, 134, 147, 149, 153, 156], "am4059149": 132, "equat": 132, "compar": [132, 152, 153, 154, 156], "483": [132, 139], "ococ20": [132, 133, 134, 144, 156, 157, 158], "tmp": [132, 133, 134, 144, 147, 151, 153, 154, 156, 157, 158], "ocp_checkpoint": [132, 133, 134, 144, 147, 151, 153, 154, 156, 157, 158], "That": [132, 134, 154, 156], "explor": [132, 142, 147, 149, 153, 158], "xc": [132, 134], "eo": 132, "third": 132, "focu": [132, 158], "pbe": [132, 134, 153], "fourth": 132, "matplotlib": [132, 134, 138, 144, 147, 149, 151, 153, 156], "pyplot": [132, 134, 138, 144, 147, 149, 151, 153, 156], "plt": [132, 134, 138, 144, 147, 149, 151, 153, 156], "open": [132, 133, 134, 138, 141, 142, 148, 149, 150, 151, 153, 156, 157, 158], "rb": [132, 142, 149, 151], "tio2": 132, "sno2": 132, "iro2": 132, "ruo2": 132, "vo2": 132, "rutil": 132, "pyrit": 132, "columbit": 132, "brookit": 132, "fluorit": 132, "anatas": 132, "lot": [132, 133, 134, 146, 147, 151], "recreat": 132, "shortli": 132, "dft": [132, 133, 134, 139, 140, 141, 147, 149, 153], "incar": 132, "doc": [132, 134, 141, 147, 148, 157], "prec": 132, "isif": 132, "nband": 132, "ibrion": 132, "gga": [132, 134], "pe": 132, "encut": [132, 134], "520": 132, "ismear": 132, "sigma": 132, "001": [132, 157], "nsw": 132, "vasp": [132, 142], "nenergi": 132, "ev": [132, 134, 138, 139, 147, 149, 151, 153, 156], "nforc": 132, "aa": [132, 156], "nstress": 132, "gpa": 132, "sxx": 132, "syi": 132, "szz": 132, "syz": 132, "sxz": 132, "sxy": 132, "nmagnet": 132, "moment": 132, "bohr": 132, "magneton": 132, "nthe": 132, "densiti": [132, 147, 153, 158], "e_f": 132, "nvolum": 132, "ncoordin": 132, "nif": 132, "ado": 132, "orbit": 132, "potcar": 132, "potpaw": 132, "0cf2ce56049ca395c567026b700ed66c94a85161": 132, "ti": [132, 142], "51f7f05982d6b4052becc160375a8b8b670177a7": 132, "kpt": 132, "reciproc": 132, "lda": 132, "kpts_nintersect": 132, "3789762519649225": 132, "864091775985314": 132, "1894881259824612": 132, "432045887992657": 132, "3181554154438013": 132, "0608208365211214": 132, "5076435414262623": 132, "87133271053866": 132, "496": [132, 134, 142, 157], "18519999": 132, "502": [132, 142], "82679392": 132, "54": [132, 134, 142, 144, 145, 147, 149, 154, 157], "92019999999996": 132, "total_energi": 132, "56": [132, 139, 142, 145, 147, 149, 154, 157], "230672": 132, "001264": 132, "fermi_level": 132, "153": [132, 147], "geometri": [132, 147, 151, 153, 158], "set_tag": [132, 133, 147, 149, 156], "ones": [132, 133, 151, 156], "ti2o4": 132, "calc": [132, 133, 134, 144, 151, 153, 154, 156, 157], "hostedtoolcach": [132, 133, 134, 138, 142, 144, 147, 149, 151, 153, 154, 156, 157, 158], "11": [132, 133, 134, 135, 138, 142, 144, 145, 147, 149, 151, 153, 154, 156, 157, 158], "x64": [132, 133, 134, 138, 142, 144, 147, 149, 151, 153, 154, 156, 157, 158], "lib": [132, 133, 134, 138, 142, 144, 147, 149, 151, 153, 154, 156, 157], "python3": [132, 133, 134, 138, 142, 144, 147, 149, 151, 153, 154, 156, 157], "site": [132, 133, 134, 138, 142, 144, 147, 149, 151, 154, 156, 157], "grad_scal": [132, 133, 134, 144, 147, 151, 153, 154, 157], "126": [132, 133, 134, 142, 144, 147, 151, 153, 154, 157], "userwarn": [132, 133, 134, 138, 144, 147, 149, 151, 153, 154, 156, 157], "unrecogn": [132, 144], "weight_decai": [132, 133, 144, 157], "optimizer_param": [132, 133, 144, 147, 157], "soon": [132, 133, 144], "modelcheckpoint": [132, 133, 134, 144, 147, 151, 153, 154], "reproduc": [132, 133, 134, 144, 147, 151, 153, 154], "accumul": [132, 156, 158], "pariti": [132, 152, 153], "t0": [132, 134, 151, 153], "eos_data": 132, "vol": 132, "get_potential_energi": [132, 133, 134, 142, 147, 149, 151, 153, 154, 156], "get_volum": 132, "marker": 132, "label": [132, 147, 149, 151, 153, 156, 158], "legend": [132, 147, 149, 151, 153, 156], "loc": [132, 151], "bbox_to_anchor": 132, "ncol": 132, "elaps": [132, 134, 151, 153], "1f": [132, 134, 151], "autocast_mod": [132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "250": [132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "device_typ": [132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "3f": 132, "669": [132, 151], "somewhat": [132, 151, 153], "458": [132, 139], "surpris": [132, 134], "evid": 132, "inspect": [132, 142, 151, 153, 156], "skew": 132, "qualit": [132, 147], "rpbe": [132, 153], "notabl": [132, 158], "attach": 132, "singlepointcalcul": [132, 142, 147, 149, 151], "singlepoint": 132, "rm": [132, 147, 149, 157], "fr": [132, 157], "clean": [132, 139, 140], "set_calcul": [132, 133, 134, 138, 144, 147, 148, 149, 153, 156], "let": [132, 147, 151, 158], "ag": [132, 134, 142, 153, 157], "mass": [132, 134, 157], "runner": [132, 134, 147, 157, 158], "sn2o4": [132, 157], "unknown": [132, 134, 157], "41": [132, 134, 142, 145, 147, 149, 154, 157], "359": [132, 157], "045": [132, 147, 157], "ttt": [132, 134, 157], "258": [132, 147, 157], "000": [132, 134, 147, 157], "301": [132, 157], "416": [132, 157], "853": [132, 157], "025": [132, 134, 147, 157], "66": [132, 139, 142, 147, 149, 157], "526": [132, 142, 157], "199": [132, 147, 151, 157], "010": [132, 157], "68": [132, 139, 145, 147, 149, 153, 157], "794": [132, 157], "419": [132, 157], "006": [132, 157], "71": [132, 138, 142, 147, 149, 157], "062": [132, 147, 157], "534": [132, 154, 157], "011": [132, 147, 157], "73": [132, 145, 147, 149, 153, 157], "330": [132, 157], "562": [132, 142, 157], "029": [132, 147, 157], "75": [132, 142, 147, 149, 157], "598": [132, 157], "518": [132, 142, 157], "033": [132, 147, 157], "866": [132, 134, 157], "415": [132, 157], "80": [132, 147, 149, 157], "134": [132, 142, 147, 151, 157], "266": [132, 157], "402": [132, 142, 157], "083": [132, 157], "017": [132, 157], "84": [132, 142, 147, 149, 157], "670": [132, 142, 157], "sn4o8": [132, 157], "424": [132, 157], "012": [132, 147, 157], "117": [132, 134, 138, 142, 147, 157], "473": [132, 142, 157], "602": [132, 142, 147, 157], "832": [132, 157], "437": [132, 157], "005": [132, 147, 157], "121": [132, 133, 134, 142, 147, 157], "620": [132, 157], "147": [132, 147, 157], "015": [132, 147, 157], "125": [132, 147, 157], "766": [132, 142, 157], "14": [132, 134, 135, 138, 142, 144, 147, 148, 149, 151, 153, 154, 157], "599": [132, 157], "047": [132, 147, 157], "129": [132, 142, 147, 157], "912": [132, 157], "15": [132, 134, 142, 144, 147, 148, 149, 151, 153, 154, 157, 158], "831": [132, 157], "081": [132, 147, 157], "058": [132, 134, 157], "898": [132, 157], "138": [132, 147, 151, 157], "204": [132, 147, 157], "17": [132, 134, 142, 145, 147, 148, 149, 151, 154, 157], "805": [132, 157], "142": [132, 142, 147, 157], "350": [132, 142, 157], "586": [132, 157], "002": [132, 157], "146": [132, 142, 147, 157], "19": [132, 134, 142, 147, 148, 149, 151, 153, 154, 157, 158], "262": [132, 157], "642": [132, 157], "851": [132, 157], "013": [132, 147, 157], "154": [132, 147, 157], "788": [132, 142, 157], "295": [132, 157], "three": [132, 141, 147, 156, 158], "remain": [132, 147, 156], "choos": [132, 134, 144, 148, 156, 158], "approach": [132, 134, 141, 144, 147, 151, 154, 158], "streamlin": 132, "posixpath": [132, 134, 151, 157], "home": [132, 134, 147, 157, 158], "piec": [132, 148], "cmd": [132, 134, 157], "model_attribut": [132, 134, 147, 157], "loss_forc": [132, 147, 157], "caus": [132, 133, 134, 151, 157], "test_dataset": [132, 147, 157], "val_dataset": [132, 147, 157], "eval_everi": [132, 147, 157], "max_epoch": [132, 147, 157], "regress": [132, 134, 147, 157], "cat": [132, 141, 147], "gnoc_oc22_oc20_all_s2ef": [132, 144, 157, 158], "misc": [132, 133, 147, 157], "forces_ma": [132, 147, 157], "fn": [132, 147, 157], "l2mae": [132, 147, 157], "1000": [132, 138, 147, 148, 154, 157], "legendre_out": [132, 133, 147, 157], "clip_grad_norm": [132, 147, 157], "ema_decai": [132, 147, 157], "999": [132, 147, 157], "energy_coeffici": [132, 147, 157], "eval_batch_s": [132, 147, 157], "force_coeffici": [132, 147, 157], "load_balanc": [132, 141, 157], "loss_energi": [132, 147, 157], "lr_initi": [132, 141, 147, 157], "0005": [132, 147, 157], "num_work": [132, 141, 147, 157], "adamw": [132, 147, 157], "amsgrad": [132, 147, 157], "patienc": [132, 147, 157], "reducelronplateau": [132, 147, 157], "eval_on_free_atom": [132, 147, 157], "train_on_free_atom": [132, 147, 157], "scratch": 132, "dir": [132, 141], "prefer": [132, 150], "timestamp": [132, 141], "ipython": [132, 138, 142, 147, 149, 157], "magic": 132, "minut": [132, 134, 142], "redirect": [132, 133, 134, 157], "notebook": [132, 134, 138, 142, 146, 148, 149, 150, 157, 158], "abl": [132, 133, 157], "stamp": [132, 141], "everytim": 132, "reproducibli": 132, "again": [132, 147], "while": [132, 134, 140, 142, 147, 158], "tail": [132, 157], "visit": [132, 142], "browser": [132, 157], "refresh": 132, "view": 132, "happen": [132, 133, 147, 151, 156], "ft": 132, "1800": 132, "At": [132, 141, 147, 149, 153], "strip": [132, 134], "cpline": 132, "grep": [132, 134, 135], "cpdir": 132, "best_checkpoint": [132, 147], "recent": [132, 133, 157, 158], "lowest": [132, 151, 153, 154, 156], "judgement": [132, 158], "accur": [132, 133, 147], "newckpt": 132, "newcalc": 132, "term": 132, "agreement": [132, 153], "curv": 132, "closer": [132, 133, 147, 149], "togeth": [132, 156], "refin": 132, "eventu": 132, "adjust": 132, "decreas": [132, 147, 156], "often": [132, 140, 147, 157], "trade": 132, "accuraci": [132, 147, 149], "cover": [132, 147], "thoroughli": 132, "newer": [132, 134, 142], "tend": [132, 153], "expens": [132, 142, 147], "compromis": 132, "tri": 133, "alloc": 133, "390": [133, 147], "00": [133, 134, 138, 142, 145, 147, 149, 151, 153, 154, 157], "mib": 133, "76": [133, 134, 142, 145, 147, 149, 157], "gib": 133, "capac": 133, "59": [133, 142, 147, 149, 153, 154, 157, 158], "170": [133, 147], "06": [133, 134, 139, 142, 147, 149, 153, 154, 157], "reserv": 133, "max_split_size_mb": 133, "fragment": 133, "manag": 133, "pytorch_cuda_alloc_conf": 133, "someth": [133, 156], "unspecifi": 133, "ambigu": 133, "problem": [133, 147], "captur": [133, 134, 141, 147, 156, 157], "cu": [133, 142, 147, 149, 150, 153, 154], "traceback": [133, 157], "731": 133, "728": 133, "_calc": 133, "729": [133, 142], "730": [133, 142], "732": 133, "733": [133, 134], "constraint": [133, 138, 142, 148, 153], "709": 133, "708": 133, "get_properti": 133, "710": [133, 145], "711": 133, "free_energi": 133, "737": [133, 142], "allow_calcul": 133, "735": 133, "736": 133, "739": [133, 142], "740": 133, "741": 133, "ok": [133, 134], "742": [133, 142], "743": [133, 142], "225": 133, "222": 133, "a2g": [133, 138, 147, 148], "223": 133, "227": 133, "228": [133, 142], "_pred": 133, "_contextlib": 133, "115": [133, 147], "context_decor": 133, "decorate_context": 133, "112": [133, 142, 147], "functool": 133, "wrap": [133, 142], "113": [133, 142, 147], "114": [133, 147], "ctx_factori": 133, "433": 133, "425": 133, "426": 133, "427": [133, 142], "430": 133, "431": [133, 147], "432": [133, 142], "autocast": 133, "scaler": [133, 157], "435": 133, "target_kei": 133, "436": [133, 134], "pred": 133, "234": [133, 134, 147], "233": [133, 134], "236": 133, "todo": 133, "237": 133, "1511": 133, "_wrapped_call_impl": 133, "1509": [133, 142], "_compiled_call_impl": 133, "1510": 133, "_call_impl": 133, "1520": 133, "1515": [133, 142], "hook": [133, 135], "rest": [133, 141, 147], "1516": [133, 154], "1517": 133, "_backward_hook": 133, "_backward_pre_hook": 133, "_forward_hook": 133, "_forward_pre_hook": 133, "1518": 133, "_global_backward_pre_hook": 133, "_global_backward_hook": 133, "1519": [133, 142], "_global_forward_hook": 133, "_global_forward_pre_hook": 133, "forward_cal": 133, "1522": [133, 142], "1523": [133, 142, 154], "141": [133, 147], "cls_method": 133, "139": [133, 142, 147, 151], "getattr": 133, "140": [133, 142, 147], "1226": 133, "1204": 133, "1205": 133, "1206": 133, "1213": 133, "1214": 133, "1215": 133, "1217": 133, "1218": [133, 147, 149], "basis_rad_raw": 133, "1219": 133, "1220": 133, "basis_output": 133, "1221": [133, 142, 154], "1222": [133, 142], "1223": 133, "1224": [133, 154], "1225": 133, "1227": 133, "1228": 133, "1229": 133, "1230": 133, "1231": [133, 142], "1232": [133, 142], "1233": [133, 142, 154], "1234": 133, "1235": [133, 142], "1236": 133, "1238": [133, 153], "1239": [133, 142], "atom_emb": [133, 147], "1099": [133, 142], "1090": 133, "cos\u03c6_cab_q": 133, "1091": 133, "1092": 133, "1093": 133, "1094": 133, "1096": 133, "basis_rad_cir_qint_raw": 133, "basis_cir_qint_raw": 133, "cbf_basis_qint": 133, "1097": 133, "1098": 133, "basis_rad_sph_qint_raw": 133, "basis_sph_qint_raw": 133, "sbf_basis_qint": 133, "1100": 133, "1101": 133, "1102": 133, "1103": 133, "1104": 133, "1105": 133, "basis_rad_a2ee2a_raw": 133, "radial_basis_aeaint": 133, "132": [133, 142, 147], "130": [133, 147], "131": [133, 142, 147], "133": [133, 142, 147, 151], "135": [133, 134, 147], "116": [133, 134, 147], "cos\u03c6": 133, "\u03b8": 133, "111": [133, 142, 144, 147, 153], "elif": [133, 154], "sbf_name": 133, "circular_basi": 133, "\u03d1": 133, "118": [133, 147, 153], "gaussian_out": 133, "119": [133, 147], "120": [133, 134, 147], "sbf_hparam": 133, "know": [133, 136, 153], "sometim": 133, "magnitud": [133, 147], "suppress": [133, 141, 153], "stringio": 133, "contextlib": 133, "fcc111": [133, 144, 153], "add_adsorb": [133, 138, 144, 147, 148, 149, 153], "vacuum": [133, 134, 138, 144, 147, 148, 149, 153], "height": [133, 144, 153], "fcc": [133, 144, 153, 156], "redirect_stdout": 133, "2779738903045654": 133, "ococ22": [133, 134, 144, 158], "36833190917969": 133, "l4": [133, 134, 139, 144, 158], "m2": [133, 134, 139, 144, 158], "lay12": [133, 134, 139, 144, 158], "6873018741607666": 133, "might": [133, 140, 147, 153, 158], "alert": 133, "jupyt": [133, 142, 150, 151, 156, 157, 158], "becom": 133, "sad": 133, "mayb": 133, "inlin": [133, 147, 149], "h2o": [133, 147, 149, 153], "critic": 133, "71796226501465": 133, "anoth": [133, 140, 147, 149, 156], "31m": [133, 134, 139, 144, 151, 153, 154, 158], "42973706126213074": 133, "determinist": 133, "eqv2": 133, "slightli": 133, "answer": [133, 140, 146], "catalyst": [133, 138, 141, 142, 148, 149, 150, 156, 158], "563": [133, 139], "bfg": [133, 138, 144, 147, 148, 151, 153, 154], "213986873626709": 133, "6993074113088094e": 133, "213984489440918": 133, "2139849662780762": 133, "2139856815338135": 133, "2139866352081299": 133, "2139880657196045": 133, "2139892578125": 133, "2139873504638672": 133, "net": 133, "translat": [133, 158], "get_forc": [133, 142, 147, 149], "00848318": 133, "01409731": 133, "05882764": 133, "float32": [133, 134, 141], "0908116e": 133, "07": [133, 134, 142, 147, 153, 154, 157], "0338290e": 133, "08": [133, 134, 139, 142, 147, 153, 154, 157], "1920929e": 133, "illustr": [134, 147, 149], "10k": [134, 139, 141, 144, 147, 158], "gold": 134, "boe": 134, "groenenboom": 134, "keith": 134, "2016": [134, 158], "reaxff": 134, "comparison": [134, 153], "au": [134, 142], "chem": [134, 153], "979": [134, 142], "987": [134, 142], "1002": 134, "qua": 134, "25115": 134, "wget": [134, 147], "figshar": 134, "ndownload": 134, "11948267": 134, "2024": [134, 142, 145, 147, 158], "04": [134, 141, 142, 145, 147, 149, 153, 154, 157], "46": [134, 142, 144, 147, 148, 149, 154, 157], "34": [134, 139, 142, 147, 149, 154, 157], "253": [134, 142], "243": 134, "168": [134, 147], "55": [134, 138, 139, 142, 145, 147, 149, 151, 154, 157], "2a05": 134, "d018": 134, "1f4": 134, "d000": 134, "42a7": 134, "6b3e": 134, "45b6": 134, "d10f": 134, "443": [134, 142], "request": [134, 142], "sent": 134, "await": [134, 142], "302": [134, 147, 149], "locat": [134, 147, 149, 154], "s3": 134, "eu": 134, "west": 134, "amazonaw": 134, "pstorag": 134, "cmu": [134, 147], "348901238291901": 134, "amz": 134, "algorithm": [134, 146, 147], "aws4": 134, "hmac": 134, "sha256": 134, "credenti": 134, "akiai266r7v6o36o5jua": 134, "20240416": 134, "aws4_request": 134, "date": [134, 146], "20240416t230147z": 134, "expir": 134, "signedhead": 134, "host": [134, 141, 146], "c281b0a83f7790979878635c5b66e1c089d09064d3338f37d8eb5ab2ac4678bb": 134, "47": [134, 142, 144, 147, 149, 154, 157], "52": [134, 138, 142, 144, 147, 149, 154, 157], "218": [134, 147], "88": [134, 147, 149, 157, 158], "235": [134, 147], "92": [134, 147, 149, 157], "109": [134, 147], "27": [134, 142, 145, 147, 149, 153, 154], "43125760": 134, "41m": 134, "octet": 134, "stream": 134, "kb": 134, "58": [134, 138, 142, 147, 149, 153, 154, 157], "49k": 134, "257kb": 134, "194": [134, 147, 157], "426kb": 134, "772": 134, "10mb": 134, "05m": 134, "34mb": 134, "55m": 134, "50mb": 134, "21m": 134, "4mb": 134, "48": [134, 142, 144, 145, 147, 149, 153, 154], "86m": 134, "62": [134, 147, 149, 157], "75m": 134, "1mb": 134, "31": [134, 138, 142, 147, 149, 151, 154], "39m": 134, "3mb": 134, "89": [134, 138, 147, 149, 157], "36": [134, 142, 147, 149, 151, 154], "92m": 134, "13m": 134, "mb": 134, "autom": [134, 138, 151, 153, 154], "ll": [134, 135, 144, 147], "comment": 134, "whole": [134, 153], "mv": 134, "full_data": 134, "full_db": 134, "subset_db": 134, "replac": [134, 135, 147], "add_additional_inform": 134, "au35": 134, "638": [134, 138, 142, 157], "35": [134, 142, 147, 148, 149, 151, 154, 158], "320": 134, "5504": 134, "869": [134, 142], "6893": 134, "830": [134, 142], "au32": 134, "697": 134, "5385": 134, "186": [134, 147, 157], "6302": 134, "930": [134, 142, 147], "au105": 134, "293": 134, "183": [134, 138, 147], "105": [134, 142, 147], "102": [134, 142, 147], "17545": 134, "702": 134, "20681": 134, "490": [134, 147], "au45": 134, "857": 134, "45": [134, 138, 142, 147, 148, 149, 154], "152": [134, 147], "6185": 134, "400": 134, "8863": 134, "au4": 134, "103": [134, 142, 147], "143": [134, 147], "096": 134, "787": 134, "au15": 134, "590": [134, 142], "050": [134, 147], "3295": 134, "090": 134, "2954": 134, "499": 134, "au11": 134, "051": 134, "773": [134, 138, 147], "2166": 134, "632": [134, 157], "au37": 134, "96": [134, 147, 149, 157], "933": [134, 142], "37": [134, 142, 147, 149, 154], "5771": 134, "976": [134, 142], "7287": 134, "763": 134, "au31": 134, "78": [134, 142, 147, 149, 157], "311": 134, "475": [134, 157], "5304": 134, "824": 134, "6105": 134, "964": [134, 142], "683": 134, "195": [134, 147], "au25": 134, "61": [134, 147, 149, 153, 157], "206": 134, "163": [134, 147], "4771": [134, 142], "343": [134, 147], "4924": 134, "164": [134, 147], "au8": 134, "2610": 134, "668": 134, "1575": 134, "au49": 134, "634": [134, 138, 142, 148, 157], "49": [134, 142, 144, 147, 148, 149, 154, 157], "459": 134, "6534": 134, "501": [134, 142], "9651": 134, "362": [134, 142], "084": 134, "221": 134, "au3": 134, "041": [134, 147], "093": 134, "376": 134, "900": [134, 142], "au46": 134, "327": [134, 147], "211": 134, "6322": 134, "757": 134, "9060": 134, "462": 134, "au20": 134, "904": 134, "4413": 134, "396": 134, "3939": [134, 154], "331": [134, 142], "688": 134, "836": 134, "2911": 134, "104": [134, 142, 147], "201": [134, 153], "156": [134, 147], "382": 134, "5849": 134, "841": 134, "neb": 134, "calc_tim": 134, "cluster": [134, 141, 155], "diffus": 134, "ediff": 134, "ediffg": 134, "fault": 134, "fermi": 134, "kpt1": 134, "kpt2": 134, "kpt3": 134, "neural_energi": 134, "reax_energi": 134, "surf": 134, "train_set": 134, "much": [134, 147, 151], "spinconv": [134, 139, 144, 146, 158], "t4": [134, 139, 144, 158], "b2": [134, 139, 144, 158], "l6": [134, 139, 144, 158], "lay12al": [134, 144, 158], "m3": [134, 139, 144, 158], "lay20al": [134, 144, 158], "83m": [134, 139, 144, 158], "153m": [134, 139, 144, 158], "forceonli": [134, 144, 158], "100k": [134, 139, 144, 147, 158], "painnal": [134, 144, 158], "dtoc22": [134, 144, 158], "lambda_": [134, 139, 144, 158], "lambda_f": [134, 139, 144, 158], "gndt_oc22_all_s2ef": 134, "prediction_dtyp": [134, 141], "idea": [134, 143, 145, 146, 147, 151], "altern": [134, 141, 142, 147, 149, 153, 154, 157], "wb": 134, "stdout": [134, 157], "encod": [134, 138, 147], "utf": 134, "010130405426025": 134, "results_dir": [134, 141, 147], "ocp_predict": [134, 141], "npz": [134, 141, 147], "allow_pickl": 134, "chunk_idx": 134, "resort": 134, "ind": [134, 156], "sind": 134, "22": [134, 142, 147, 149, 151, 153, 154, 157, 158], "24": [134, 142, 147, 149, 151, 154, 157], "26": [134, 139, 142, 145, 147, 148, 149, 151, 153, 154, 157], "28": [134, 139, 142, 145, 147, 149, 151, 153, 154, 157], "29": [134, 142, 147, 148, 149, 151, 154], "33": [134, 142, 145, 147, 149, 151, 154], "38": [134, 138, 142, 147, 149, 153, 154, 157], "39": [134, 142, 145, 147, 149, 153, 154], "never": 134, "seen": [134, 147], "certainli": 134, "slower": [134, 140, 151], "toatom": 134, "0it": 134, "1it": 134, "60it": [134, 147], "2it": 134, "06it": [134, 147], "3it": 134, "94it": 134, "4it": 134, "31it": 134, "6it": 134, "73it": 134, "7it": 134, "91it": [134, 147], "8it": 134, "24it": 134, "9it": 134, "95it": 134, "10it": [134, 147], "50it": [134, 147], "12it": [134, 147], "03": [134, 139, 142, 147, 148, 149, 153, 154, 157], "13it": [134, 147], "45it": [134, 147], "14it": [134, 147], "15it": [134, 147], "99it": 134, "16it": [134, 147], "28it": 134, "17it": [134, 138, 147], "29it": [134, 147], "18it": 134, "86it": [134, 138, 147], "19it": 134, "20it": [134, 147], "74it": [134, 147], "21it": [134, 147], "22it": [134, 147], "26it": [134, 147], "55it": 134, "25it": [134, 147], "68it": [134, 147], "27it": [134, 138, 147], "32it": [134, 147], "64it": 134, "30it": 134, "79it": [134, 147], "33it": 134, "35it": [134, 147], "09": [134, 142, 147, 151, 153, 154, 157], "36it": [134, 147], "38it": [134, 147], "40it": [134, 147], "39it": [134, 147], "41it": [134, 147], "90it": [134, 138], "11it": [134, 147], "conceptu": [134, 153], "simpler": 134, "float16": 134, "supposedli": 134, "542": [134, 142], "63": [134, 147, 149, 156, 157], "795260933734774": 134, "288": [134, 142], "61547660827637": 134, "hist": [134, 138, 147], "bin": [134, 135, 138, 147, 158], "0078125": 134, "strongli": [134, 147], "suggest": [134, 147, 153], "00000000e": [134, 147, 149], "02896500e": 134, "12017990e": 134, "39393005e": 134, "91954803e": 134, "35600891e": 134, "22307640e": 134, "36496506e": 134, "89058304e": 134, "38497391e": 134, "65957291e": 134, "71213470e": 134, "68457901e": 134, "25617981e": 134, "74993896e": 134, "91954765e": 134, "89058266e": 134, "71213467e": 134, "25617599e": 134, "81469727e": 134, "02755566e": 134, "02755569e": 134, "cu117": 135, "torchvis": 135, "torchaudio": 135, "whl": 135, "pyg_lib": 135, "pypi": 135, "unnecessari": 135, "miniconda": 135, "mamba": 135, "faster": [135, 147], "forg": 135, "instruct": [135, 146, 147, 154], "ld_library_path": 135, "echo": 135, "tr": 135, "public": 135, "app": 135, "lib64": 135, "commit": [135, 138, 147, 158], "chemistri": [136, 143, 147], "excit": 136, "larri": [136, 147], "intro": [136, 145], "video": 136, "audienc": [136, 150], "background": [136, 150], "speed": [138, 147, 151, 154], "fastest": 138, "major": [138, 147], "overview": [138, 146, 148, 150], "repo": [138, 145, 147, 148, 151, 154, 158], "wish": [138, 141, 147], "worri": 138, "fcc100": [138, 147, 148, 149], "fixatom": [138, 142, 147, 148, 149, 153], "emt": [138, 147, 148, 149], "adslab": [138, 142, 147, 148, 149, 151, 154], "con": [138, 142, 147, 148, 149], "set_constraint": [138, 147, 148, 149, 153], "set_pbc": [138, 147, 148, 149], "dyn": [138, 147, 148, 149], "cuco_adslab": [138, 148], "logfil": [138, 148, 151, 153], "raw_data": [138, 148], "1001": [138, 148], "pos_relax": [138, 147], "y_init": [138, 147], "formerli": [138, 147], "subsurfac": [138, 147, 148, 149], "demo": [138, 142, 147, 149], "sample_cuco": 138, "map_siz": [138, 147], "1099511627776": [138, 147], "subdir": [138, 147], "meminit": [138, 147], "map_async": [138, 147], "read_trajectory_extract_featur": [138, 147], "traj_path": [138, 147], "get_tag": [138, 140, 147, 149, 151, 154], "longtensor": [138, 147], "system_path": [138, 147], "initial_struc": [138, 147], "relaxed_struc": [138, 147], "del": [138, 147], "txn": [138, 147], "begin": [138, 147], "dump": [138, 147], "sync": [138, 147], "interactiveshel": 138, "3577": 138, "futur": [138, 147, 156, 157, 158], "exec": 138, "code_obj": 138, "user_global_n": 138, "user_n": 138, "636": [138, 148, 156, 157], "9893144106684715": [138, 148], "trajectorylmdb": [138, 141], "fid": [138, 147, 148], "trajcetori": [138, 147], "makedir": [138, 147, 149, 151, 154], "exist_ok": [138, 147, 149, 151, 154], "54it": 138, "585": 138, "617": [138, 157], "46it": [138, 147], "248": [138, 142], "627": [138, 157], "70it": 138, "313": [138, 147], "65it": 138, "381": [138, 142], "648": [138, 142], "44it": 138, "452": [138, 142], "665": [138, 142], "519": 138, "653": 138, "84it": [138, 147], "53it": [138, 147], "65": [138, 142, 145, 147, 149, 156, 157], "649": [138, 147], "625": [138, 157], "712": [138, 142], "607": 138, "88it": [138, 147], "592": [138, 142], "834": 138, "595": 138, "63it": 138, "894": [138, 142], "572": 138, "81it": 138, "95": [138, 142, 147, 149, 156, 157], "952": [138, 142], "565": 138, "03it": [138, 147, 153], "605": [138, 142], "0_0": [138, 147], "highli": [138, 153], "135m": 138, "yourself": 138, "9893": 138, "9835": [138, 142], "9784": 138, "9684": 138, "yscale": [138, 147], "summar": [139, 147], "codebas": [139, 140, 146, 147], "2010": [139, 147], "09990": 139, "minu": [139, 140], "phase": [139, 140], "\u00e5": 139, "0673": 139, "065": [139, 147], "0684": 139, "0693": 139, "0576": 139, "0743": 139, "0737": [139, 154], "0568": 139, "0494": 139, "0741": 139, "0595": [139, 144], "0511": 139, "0444": 139, "0329": 139, "0267": 139, "0257": 139, "0211": 139, "0294": 139, "91": [139, 142, 145, 147, 149, 153, 157], "0225": 139, "0179": 139, "0173": 139, "72": [139, 142, 147, 149, 157], "0164": 139, "0216": [139, 151], "0193": 139, "0160": 139, "0191": 139, "0186": 139, "0161": 139, "lay20": 139, "0139": 139, "0167": 139, "0142": [139, 147, 149], "0126": 139, "0443": 139, "0334": 139, "02825": 139, "0614": [139, 147, 149], "0594": 139, "9881": [139, 142], "682": 139, "6199": 139, "0117": 139, "6658": 139, "5999": 139, "059": 139, "7137": 139, "6458": 139, "8837": 139, "6388": 139, "5639": 139, "5728": 139, "cite": 139, "well": [139, 141, 147, 148, 151, 153, 154, 158], "2206": 139, "08917": 139, "contrast": 139, "032": [139, 147], "127": [139, 142, 147, 151], "030": [139, 147], "027": [139, 147], "467": 139, "417": [139, 142, 147], "023": [139, 147], "447": [139, 147], "odac": 139, "tabl": 139, "previou": [139, 142, 147, 151], "solv": [139, 147], "feel": [140, 143, 147, 149], "post": [140, 146, 152], "board": [140, 146], "produc": [140, 147], "scatter": [140, 147, 151, 156], "moreov": 140, "use_deterministic_algorithm": 140, "yaml": [140, 147], "oc22_lmdb": [140, 141], "unrefer": 140, "train_on_oc20_total_energi": [140, 141], "dset": 140, "181": [140, 142, 147], "54722937": 140, "quit": [140, 147, 153, 156], "recomput": [140, 142], "statist": 140, "empir": 140, "sec": 140, "reus": 140, "architectur": [140, 147, 158], "refit": 140, "recalcul": 140, "launch": [140, 141, 142, 147, 151], "parlanc": 140, "consist": [141, 147, 149, 158], "minimum": [141, 156], "machin": [141, 142, 146, 147, 158], "suppli": [141, 151, 154], "u": [141, 147], "nproc_per_nod": 141, "stabl": [141, 142, 151, 153, 156], "balanc": [141, 147], "evenli": 141, "advantag": [141, 147, 154], "make_lmdb_s": 141, "pull": 141, "267": [141, 142, 147], "access": [141, 142, 147, 154, 156, 157], "submitit": [141, 157], "simplifi": 141, "submit": [141, 142, 143, 157], "energytrain": [141, 147], "normalize_label": [141, 147], "deviat": [141, 147, 153, 156], "target_mean": [141, 147], "969171404838562": 141, "target_std": [141, 147], "3671793937683105": 141, "logdir": [141, 157], "is2re_predict": [141, 147], "upload": 141, "upward": 141, "8hr": 141, "prepar": 141, "make_submission_fil": 141, "submission_fil": 141, "dual": 141, "previous": [141, 147], "preprocess_relax": 141, "newli": 141, "s2ef_predict": 141, "hybrid": 141, "forcestrain": [141, 147], "7586356401443481": 141, "981738567352295": 141, "grad_target_mean": [141, 147], "grad_target_std": [141, 147], "parser": [141, 157], "reli": [141, 142], "correctli": [141, 147], "my": 141, "Or": 141, "3e": 141, "done": [141, 153, 154], "relax_dataset": [141, 147], "write_po": [141, 147], "relaxation_step": [141, 147], "300": [141, 147, 154], "70": [141, 142, 147, 149, 157], "relaxed_posit": [141, 147], "analyz": [141, 147, 151], "success": [141, 142, 147, 158], "_predict": 141, "is2rs_submiss": 141, "independ": 141, "jointli": 141, "base_joint": 141, "librari": [142, 146, 147], "programmat": 142, "unfamiliar": 142, "encourag": [142, 147], "sh": 142, "pip": 142, "satisfi": 142, "tenac": 142, "inquir": 142, "dataclass": 142, "marshmallow": 142, "bless": 142, "editor": 142, "readchar": 142, "charset": 142, "idna": 142, "urllib3": 142, "certifi": 142, "2017": 142, "pyyaml": 142, "20240311": 142, "wcwidth": 142, "setuptool": 142, "mypi": 142, "find_adsorbate_binding_sit": 142, "workflow": [142, 147], "familiar": [142, 146, 147], "routin": 142, "asyncio": 142, "throughout": [142, 147], "repl": 142, "guess": [142, 147, 151, 153], "adorb": 142, "retri": 142, "api": 142, "submiss": [142, 146], "finish": [142, 145], "ten": 142, "hundr": 142, "among": [142, 154], "finit": 142, "metademolab": 142, "low": [142, 147, 153], "client": 142, "ship": 142, "get_bulk": 142, "src_id": [142, 151], "bulks_support": 142, "get_adsorb": 142, "adsorbates_support": 142, "tqdmwarn": [142, 156], "iprogress": [142, 156], "ipywidget": [142, 156], "readthedoc": [142, 156], "en": [142, 156], "user_instal": [142, 156], "autonotebook": [142, 156], "notebook_tqdm": [142, 156], "sn": 142, "101": [142, 147, 149], "ir": [142, 153], "149": [142, 147], "si": [142, 147, 149, 153], "74": [142, 147, 149, 157], "rh": [142, 153], "fe": 142, "sb": 142, "999498": 142, "124": [142, 147], "pd": [142, 151, 153, 154], "ni": 142, "79": [142, 147, 149, 157], "zn": 142, "ru": 142, "94": [142, 145, 147, 149, 157], "cd": [142, 147], "mo": 142, "cr": 142, "ge": 142, "1008634": 142, "20483": 142, "pb": 142, "989737": 142, "mn": 142, "10172": 142, "na": 142, "ca": 142, "nb": 142, "1056037": 142, "1055994": 142, "1056486": 142, "1061133": 142, "1056438": 142, "1104341": 142, "975272": 142, "hg": 142, "1055940": 142, "te": 142, "tc": 142, "ta": 142, "67": [142, 147, 149, 153, 157], "sc": 142, "sr": 142, "22848": 142, "hf": 142, "zr": 142, "23152": 142, "bi": [142, 147], "1184502": 142, "1184905": 142, "1186916": 142, "1186427": 142, "568345": 142, "1096950": 142, "8639": 142, "136": [142, 147], "1194030": 142, "10257": 142, "1008728": 142, "1014111": 142, "1094136": 142, "1193227": 142, "1183710": 142, "1072089": 142, "1120774": 142, "569794": 142, "6986": 142, "8640": 142, "1009460": 142, "160": [142, 147], "632286": 142, "567409": 142, "1010136": 142, "989695": 142, "1179605": 142, "989782": 142, "tl": 142, "1064227": 142, "1186055": 142, "1186901": 142, "1198724": 142, "998860": 142, "1184478": 142, "1091415": 142, "1183455": 142, "1022725": 142, "1184709": 142, "1007760": 142, "20745": 142, "640416": 142, "1012110": 142, "973198": 142, "975519": 142, "1187073": 142, "1186444": 142, "604318": 142, "974920": 142, "1077723": 142, "1079952": 142, "1187812": 142, "975129": 142, "1184755": 142, "753304": 142, "8634": 142, "567379": 142, "1179656": 142, "973111": 142, "151": [142, 147], "1183542": 142, "1183694": 142, "1056308": 142, "1096992": 142, "1182070": 142, "10157": 142, "1184657": 142, "573691": 142, "1078638": 142, "1183591": 142, "867351": 142, "867202": 142, "567313": 142, "639755": 142, "1178932": 142, "1180961": 142, "1096861": 142, "972981": 142, "1184693": 142, "1095269": 142, "542909": 142, "573579": 142, "1186853": 142, "1017981": 142, "567597": 142, "10021": 142, "8638": 142, "569423": 142, "975065": 142, "1184554": 142, "1187717": 142, "569289": 142, "1183484": 142, "166": [142, 147], "11832": 142, "1186040": 142, "604321": 142, "10861": 142, "1187790": 142, "1007857": 142, "604325": 142, "949029": 142, "971661": 142, "1094075": 142, "1080043": 142, "1178952": 142, "1079297": 142, "656615": 142, "1186081": 142, "1196961": 142, "1204627": 142, "1067880": 142, "611219": 142, "1184511": 142, "12628": 142, "867126": 142, "6985": 142, "570459": 142, "672241": 142, "623511": 142, "567540": 142, "23157": 142, "7162": 142, "1096915": 142, "1183144": 142, "1184808": 142, "1184764": 142, "569360": 142, "8635": 142, "974620": 142, "971662": 142, "1057273": 142, "158": [142, 147], "10654": 142, "1067758": 142, "11334": 142, "974558": 142, "22692": 142, "1187739": 142, "972351": 142, "567772": 142, "1184804": 142, "975204": 142, "8642": 142, "569007": 142, "982370": 142, "1184591": 142, "165": [142, 147], "1179802": 142, "1077098": 142, "1007976": 142, "1184766": 142, "972373": 142, "2083": [142, 154], "irsn2": 142, "30337": 142, "al5w": 142, "20536": 142, "cosn": 142, "1620": [142, 154], "wsi2": 142, "12108": 142, "pt2v": 142, "11549": 142, "pd2v": 142, "21342": 142, "snv3": 142, "24722": 142, "rhh": 142, "1483": 142, "rhsi": 142, "12778": 142, "osv": 142, "622209": 142, "al3ni": 142, "636498": 142, "in3ir": 142, "2554": 142, "al3v": 142, "718": [142, 147], "pd3sn": 142, "865385": 142, "rev3": 142, "30866": 142, "rh3w": 142, "865960": 142, "core3": 142, "19876": 142, "inni": 142, "510437": 142, "in3pd2": 142, "974376": 142, "ptrh3": 142, "982070": 142, "irv": 142, "754628": 142, "wn2": 142, "10598": 142, "cusn": 142, "611": [142, 157], "ag3sn": 142, "862604": 142, "nire3": 142, "16528": 142, "al6r": 142, "1585": 142, "cov3": 142, "30811": 142, "ni4w": 142, "22568": 142, "gav3": 142, "7226": 142, "niv3": 142, "642644": 142, "v2h": 142, "839": 142, "auv3": 142, "30418": 142, "au5sn": 142, "2369": 142, "pdsn": 142, "12524": 142, "al2w": 142, "1251": 142, "rhv": 142, "1281": 142, "978974": 142, "rh3sn": 142, "570875": 142, "ga2o": 142, "865212": 142, "fe3r": 142, "22236": 142, "coin3": 142, "17123": 142, "ossi2": 142, "20868": 142, "fe2w": 142, "1371": 142, "pdsn3": 142, "738": 142, "ausb2": 142, "818": 142, "1393": 142, "ausn4": 142, "1030": 142, "pt7sb": 142, "899": 142, "inrh": 142, "988": 142, "n4si3": 142, "661": 142, "aln": 142, "1335": 142, "fev": 142, "862586": 142, "pdre3": 142, "2260": 142, "fept": 142, "949": 142, "copt": 142, "30343": 142, "ag3in": 142, "999549": 142, "998": 142, "al2cu": 142, "862621": 142, "gapt3": 142, "30744": 142, "irw": 142, "16514": 142, "al3ni5": 142, "1156": 142, "gasb": 142, "1018179": 142, "alau2": 142, "16488": 142, "al9co2": 142, "1118": 142, "ni2si": 142, "2831": 142, "fepd": 142, "2291": 142, "nisi2": 142, "862589": 142, "ptre3": 142, "10125": 142, "irsb": 142, "866161": 142, "rh3v": 142, "863709": 142, "ir3rh": 142, "684903": 142, "v2n": 142, "570130": 142, "alh3": 142, "22682": 142, "in2pt": 142, "30594": 142, "cu4pd": 142, "867792": 142, "ir3r": 142, "1418": 142, "feni3": 142, "18614": 142, "in3rh": 142, "22631": 142, "co2n": 142, "1008349": 142, "co3ni": 142, "865193": 142, "co3pt": 142, "2103": 142, "au3cu": 142, "973834": 142, "au3pd": 142, "555": 142, "fe8n": 142, "1018129": 142, "pt2w": 142, "865798": 142, "cu3ga": 142, "30379": 142, "auga": 142, "601820": 142, "cofe3": 142, "867303": 142, "agau3": 142, "867317": 142, "cu3si": 142, "974430": 142, "irre3": 142, "1804": 142, "fe3n": 142, "22154": 142, "auin2": 142, "867264": 142, "osre3": 142, "2157": 142, "co3w": 142, "10909": 142, "alre2": 142, "867141": 142, "os3r": 142, "522": [142, 154], "aucu": 142, "1018029": 142, "cupd": 142, "580357": 142, "cu3pd": 142, "21092": 142, "inni2": 142, "2379": 142, "cosi2": 142, "973342": 142, "rh3sb": 142, "922": 142, "copt3": 142, "irsb3": 142, "317": 142, "rhsn": 142, "1017531": 142, "ptv": 142, "11607": 142, "2395": 142, "rhsb3": 142, "999298": 142, "aupd3": 142, "21215": 142, "inpd": 142, "669720": 142, "ni3sn2": 142, "cosb2": 142, "779689": 142, "h3n": 142, "636334": 142, "rh2sn": 142, "507": 142, "641509": 142, "in9ni13": 142, "2128": 142, "pdsn4": 142, "1247": 142, "irsb2": 142, "19870": 142, "fe3ga": 142, "999192": 142, "nisi": 142, "20997": 142, "828": 142, "ni3si": 142, "10711": 142, "vsi2": 142, "995193": 142, "hsi3": 142, "2006": 142, "irv3": 142, "871": 142, "fesi": 142, "20012": 142, "insb": 142, "22211": 142, "1664": [142, 154], "pdv3": 142, "542106": 142, "pd2sb": 142, "570483": 142, "v5si3": 142, "16526": 142, "alpt2": 142, "11798": 142, "fe3pt": 142, "1018059": 142, "20559": 142, "coga3": 142, "570844": 142, "ga3o": 142, "862798": 142, "pt3w": 142, "1941": 142, "gani": 142, "568671": 142, "20418": 142, "rh2si": 142, "23739": 142, "h4si": 142, "21476": 142, "fe2n": 142, "11523": 142, "ni3sn": 142, "20411": 142, "inn": 142, "16609": 142, "os2si3": 142, "672661": 142, "20033": 142, "irsn": 142, "24289": 142, "pdh": 142, "11407": 142, "1018027": 142, "vn": 142, "8939": 142, "570920": 142, "fe6ga5": 142, "642659": 142, "1002114": 142, "vh": 142, "974395": 142, "pt3rh": 142, "31337": 142, "inpd3": 142, "1869": 142, "gapd2": 142, "351": 142, "973839": 142, "21359": 142, "rh2sb": 142, "24719": 142, "nih": 142, "22646": 142, "inpd2": 142, "22812": 142, "in2ir": 142, "925": 142, "30536": 142, "v5sb4": 142, "2705": 142, "pt3v": 142, "1018100": 142, "alsb": 142, "571060": 142, "in9pt13": 142, "1299": 142, "pt2si": 142, "20112": 142, "971669": 142, "fesb3": 142, "1578": 142, "rhv3": 142, "21400": 142, "ga3pt2": 142, "30660": 142, "ga5pd": 142, "2500": 142, "alcu": 142, "639789": 142, "fe2re3": 142, "636368": 142, "fega3": 142, "30380": 142, "au2ga": 142, "1356": 142, "pdsb2": 142, "11397": 142, "ga3ni2": 142, "21012": 142, "rh5si3": 142, "980109": 142, "au3sn": 142, "569250": 142, "31485": 142, "ga5pd13": 142, "971751": 142, "31253": 142, "ga2ir": 142, "31312": 142, "ga9rh2": 142, "449": 142, "fe5si3": 142, "11522": 142, "31219": 142, "w5si3": 142, "974435": 142, "re3n": 142, "23933": 142, "569683": 142, "au3in": 142, "2294": [142, 147], "al3ir": 142, "601842": 142, "co7fe9": 142, "1490": 142, "alau4": 142, "1057": 142, "al3ni2": 142, "171": [142, 147], "ni3v": 142, "568792": 142, "rh4si5": 142, "20405": 142, "ga5v2": 142, "16317": 142, "pt12si5": 142, "684744": 142, "2678": 142, "15656": 142, "ir3si4": 142, "1714": 142, "fesi2": 142, "gan": 142, "1007855": 142, "10015": 142, "ossi": 142, "19905": 142, "co2si": 142, "22095": 142, "ga2pt": 142, "979980": 142, "pd3v": 142, "568711": 142, "22784": 142, "inni3": 142, "11531": 142, "ni2v": 142, "865496": 142, "ir3v": 142, "2211": 142, "ptv3": 142, "22787": 142, "fe2si": 142, "1008274": 142, "2776": 142, "auga2": 142, "448": 142, "1019077": 142, "ren2": 142, "10901": 142, "al3pd2": 142, "284": 142, "alco": 142, "607111": 142, "alpt3": 142, "972828": 142, "643432": [142, 147, 149], "1399": 142, "alau": 142, "22146": 142, "in3pd5": 142, "30336": 142, "al4w": 142, "11227": 142, "al12w": 142, "1473": 142, "fe7w6": 142, "1019052": 142, "ren": 142, "985806": 142, "1918": 142, "ferh": 142, "10744": 142, "pt2si3": 142, "866121": 142, "osv3": 142, "19800": 142, "fe11si5": 142, "2647": 142, "al2au": 142, "10260": 142, "ni3sb": 142, "cu6sn5": 142, "30745": 142, "ir3w": 142, "24728": 142, "vh2": 142, "535": 142, "fe4n": 142, "873": 142, "976847": 142, "10905": 142, "al3pt2": 142, "10886": 142, "al3cu2": 142, "1501": 142, "al3pt5": 142, "21589": 142, "ga9ni13": 142, "2824": 142, "alpd2": 142, "1018948": 142, "re2n": 142, "1082": 142, "567929": 142, "al13os4": 142, "2199": 142, "fe3si": 142, "12608": 142, "cupt7": 142, "22469": 142, "571557": 142, "ga5v6": 142, "12086": 142, "cu3pt": 142, "12798": 142, "ni3pt": 142, "16522": 142, "al2pd": 142, "12802": 142, "alcu3": 142, "1648": 142, "al12r": 142, "1008555": 142, "1573": [142, 151], "pdsn2": 142, "845": 142, "cu5sn4": 142, "569558": 142, "12777": 142, "22040": 142, "ir3sn7": 142, "31277": 142, "irsn4": 142, "568655": 142, "in7pd3": 142, "1502": 142, "al2pt": 142, "829": 142, "alpd": 142, "16852": 142, "ga7ni3": 142, "2658": 142, "alf": 142, "1700": [142, 147], "30846": 142, "pt2sn3": 142, "985825": 142, "al3cu": 142, "188": [142, 147, 157], "16523": 142, "al3pd5": 142, "2258": 142, "aucu3": 142, "1487": 142, "alni": 142, "984873": 142, "al3f": 142, "16521": 142, "al3os2": 142, "21985": 142, "cu7in3": 142, "1775": 142, "ausn": 142, "22075": 142, "in7pt3": 142, "669546": 142, "672232": 142, "alni3": 142, "875": 142, "alo": 142, "2593": 142, "1462": 142, "ausn2": 142, "ptsb2": 142, "2018": 142, "alfe3": 142, "29661": 142, "pt6si5": 142, "21845": 142, "fepd3": 142, "605663": 142, "alpd5": 142, "372": 142, "v6si5": 142, "974370": 142, "1185": 142, "18695": 142, "cofe15": 142, "1017529": 142, "co3v": 142, "2090": 142, "cofe": 142, "1649": 142, "601848": 142, "co5fe11": 142, "866134": 142, "fe3v": 142, "2245": 142, "540791": 142, "rh3si4": 142, "30066": 142, "pd20sb7": 142, "16960": 142, "16608": 142, "542614": 142, "641526": 142, "co3fe13": 142, "568595": 142, "re4si7": 142, "1791": 142, "al5rh2": 142, "2223": 142, "gapt2": 142, "405": [142, 147], "ga2pd5": 142, "672265": 142, "582681": 142, "23922": 142, "hn": 142, "1025044": 142, "alni2": 142, "1025551": 142, "gapt": 142, "196": [142, 147, 151], "al5co2": 142, "1025425": 142, "co3h": 142, "30550": 142, "1022721": 142, "29667": 142, "ni3si2": 142, "510099": 142, "au10in3": 142, "568524": 142, "571598": 142, "au7ga2": 142, "680639": 142, "14266": 142, "cu15si4": 142, "21965": 142, "ga41v8": 142, "680646": 142, "nisn": 142, "571406": 142, "560025": 142, "ag2": 142, "32669": 142, "36216": 142, "754954": 142, "ag2s": 142, "32884": 142, "32868": 142, "31053": 142, "32758": 142, "556225": 142, "10910": 142, "al2ru": 142, "32791": 142, "1953": [142, 151], "alti": 142, "867780": 142, "al3cr": 142, "979115": 142, "agti2": 142, "38511": 142, "16529": 142, "al6ru": 142, "568971": 142, "542915": 142, "al3ti": 142, "2856": 142, "al11mn4": 142, "2733": 142, "al8mo3": 142, "1009834": 142, "998981": 142, "173": [142, 147], "al6mn": 142, "571247": 142, "al3mo": 142, "568936": 142, "11674": 142, "al2se3": 142, "542570": 142, "ass": 142, "568607": 142, "al5mo": 142, "610517": 142, "15649": 142, "iras2": 142, "567705": 142, "al2ti": 142, "19814": 142, "nias2": 142, "31070": 142, "as8s9": 142, "ruas2": 142, "909": 142, "as2se3": 142, "1007652": 142, "ina": 142, "11696": 142, "w2as3": 142, "2654": 142, "al2s3": 142, "9548": 142, "asg": 142, "540701": 142, "v3as2": 142, "11809": 142, "9305": 142, "mn4as3": 142, "2623": 142, "v4as3": 142, "540782": 142, "568856": 142, "mn3as2": 142, "22079": 142, "rha": 142, "1823": [142, 147, 149], "alti3": 142, "2512": [142, 147, 149], "pd5a": 142, "505541": 142, "v5as3": 142, "as4s5": 142, "542454": 142, "mo2as3": 142, "28704": 142, "cr4as3": 142, "16511": 142, "al10mn3": 142, "1337": 142, "moas2": 142, "505510": 142, "1863": 142, "assi": 142, "604647": 142, "tias2": 142, "7262": 142, "znas2": 142, "17977": 142, "fe12as5": 142, "28832": 142, "mn5as4": 142, "19871": 142, "au2pb": 142, "556328": 142, "30424": 142, "auzn3": 142, "570325": 142, "aus": 142, "542810": 142, "542604": 142, "2715": 142, "coas2": 142, "28916": 142, "19954": 142, "al8cr5": 142, "22240": 142, "mna": 142, "571053": 142, "15650": 142, "rua": 142, "15681": 142, "cras2": 142, "542846": 142, "30180": 142, "al4mo": 142, "9998": 142, "moa": 142, "12531": 142, "sn4as3": 142, "19940": 142, "va": 142, "17524": 142, "as2g": 142, "30412": 142, "aupb3": 142, "1755": [142, 147, 149], "au3zn": 142, "2346": 142, "nia": 142, "771": 142, "almn": 142, "11252": 142, "au2mn": 142, "30410": 142, "au5mn2": 142, "864794": 142, "ag3zn": 142, "8182": 142, "rhas3": 142, "11506": 142, "moni3": 142, "11507": 142, "moni4": 142, "978553": 142, "as2si": 142, "610522": 142, "mn2a": 142, "550": 142, "al12mo": 142, "2455": 142, "osas2": 142, "7372": 142, "zna": 142, "981215": 142, "cozn3": 142, "2793": 142, "mvc": 142, "11438": 142, "cose2": 142, "15954": 142, "rhas2": 142, "259": 142, "almo3": 142, "583": 142, "coa": 142, "570377": 142, "sn3as4": 142, "8073": 142, "pd2a": 142, "998985": 142, "auti": 142, "8881": 142, "ala": 142, "1018672": 142, "fea": 142, "2534": 142, "gaa": 142, "12674": 142, "aumn": 142, "1018123": 142, "au2ti": 142, "570744": 142, "as4si3": 142, "20465": 142, "pdas2": 142, "292": 142, "v3a": 142, "8883": 142, "12635": 142, "au4ti": 142, "540912": 142, "iras3": 142, "1912": 142, "agzn": 142, "542569": 142, "alru": 142, "1017985": 142, "agti": 142, "608": 142, "co3ti": 142, "1786": 142, "auti3": 142, "2832": 142, "cr2se3": 142, "20685": 142, "cr3ge": 142, "672216": 142, "coas3": 142, "12067": 142, "30361": 142, "ag5zn8": 142, "2172": 142, "947": 142, "au2": 142, "15679": 142, "1822": [142, 153, 154], "tia": 142, "2473": 142, "re3as7": 142, "696673": 142, "cr7se8": 142, "22795": 142, "aupb2": 142, "10052": 142, "610": [142, 157], "973149": 142, "almn3": 142, "1743": 142, "mo5as4": 142, "12565": 142, "au4mn": 142, "2008": [142, 147], "feas2": 142, "976930": 142, "ni3a": 142, "567082": 142, "ti4as3": 142, "2668": 142, "mn3a": 142, "20305": 142, "2513": 142, "ptas2": 142, "1684": 142, "auzn": 142, "2302": 142, "rh2a": 142, "998972": 142, "2182": 142, "sna": 142, "27543": 142, "as4s3": 142, "12675": 142, "646039": 142, "cu10in7": 142, "21873": 142, "568565": 142, "cra": 142, "557321": 142, "7022": 142, "11653": 142, "crse2": 142, "669566": 142, "570651": 142, "al17mo4": 142, "20717": 142, "641": 142, "as2s3": 142, "1699": 142, "alcr2": 142, "505071": 142, "pd9si2": 142, "15700": 142, "zn3as2": 142, "1009581": 142, "17880": 142, "al13ru4": 142, "975079": 142, "mnzn3": 142, "972042": 142, "cuzn3": 142, "580226": 142, "cuse": 142, "20683": 142, "cu3se2": 142, "19724": 142, "cu3g": 142, "30568": 142, "cozn13": 142, "567919": 142, "al45v7": 142, "12546": 142, "cu3ti": 142, "604910": 142, "mnse": 142, "644500": 142, "mozn7": 142, "cuti2": 142, "673255": 142, "cu9se8": 142, "20862": 142, "20552": 142, "cr2a": 142, "622570": 142, "cu3ti2": 142, "30599": 142, "22309": 142, "14442": 142, "crs2": 142, "1627": 142, "mo2s3": 142, "10692": 142, "coge": 142, "11244": 142, "cos2": 142, "1025397": 142, "ruge": 142, "542613": 142, "ges2": 142, "696805": 142, "h2": [142, 147, 149, 153], "1014558": 142, "cr3n4": 142, "1014345": 142, "21945": 142, "ru2ge3": 142, "849084": 142, "cr5s8": 142, "539": 142, "ga2s3": 142, "21321": 142, "mnse2": 142, "226": 142, "fes2": 142, "850249": 142, "fe4s5": 142, "7506": 142, "cr5si3": 142, "849071": 142, "cr3s4": 142, "624221": 142, "rh5ge3": 142, "784631": 142, "crni2": 142, "nige": 142, "22009": 142, "pbse": 142, "1949": 142, "mn2ti": 142, "567889": 142, "tige2": 142, "7582": 142, "10201": 142, "moge2": 142, "30671": 142, "gati2": 142, "2454": 142, "fe2ti": 142, "760": 142, "fese2": 142, "22478": 142, "fege": 142, "849086": 142, "cus2": 142, "1589": 142, "cr2ti": 142, "28910": 142, "672204": 142, "ga3ru": 142, "24287": 142, "crh": 142, "571281": 142, "ge3n4": 142, "1922": 142, "ruse2": 142, "2030": 142, "rus2": 142, "690760": 142, "tih": 142, "865786": 142, "crpd3": 142, "11238": 142, "tis2": 142, "1434": 142, "mos2": 142, "1025067": 142, "rege2": 142, "10032": 142, "osge2": 142, "695": 142, "co2ti": 142, "866184": 142, "pbti3": 142, "1017983": 142, "mo3ti": 142, "975834": 142, "moru3": [142, 151], "865045": 142, "mnru3": 142, "v3ge": 142, "20866": 142, "rhge": 142, "542640": 142, "ptge": 142, "1424": 142, "pdge": 142, "2377": [142, 147, 149], "gamo3": 142, "7576": 142, "crsi": 142, "cr3ga": 142, "971948": 142, "1139": 142, "co3mo": 142, "21237": 142, "12071": 142, "ti3a": 142, "489": 142, "irge4": 142, "972048": 142, "mozn6": 142, "10695": 142, "2201": [142, 151], "21276": 142, "1783": 142, "1001836": 142, "gamn": 142, "21255": 142, "cr3si": 142, "446": 142, "cr3pt": 142, "1609": 142, "cr3ir": 142, "982261": 142, "pbse2": 142, "1025039": 142, "pbs2": 142, "972": 142, "10759": 142, "gese": 142, "20311": 142, "fese": 142, "cuse2": 142, "685107": 142, "cu9se5": 142, "571486": 142, "2280": 142, "1722": 142, "fezn13": 142, "974355": 142, "mn2s3": 142, "555569": 142, "cr2s3": 142, "20456": 142, "co3se4": 142, "1018115": 142, "561258": 142, "18654": 142, "cr3ga4": 142, "2780": 142, "fe3se4": 142, "632686": 142, "mn5ge2": 142, "672289": 142, "505531": 142, "2767": 142, "gati": 142, "1380": 142, "ruzn3": 142, "7581": 142, "mose2": 142, "16315": 142, "pt3ge": 142, "30675": 142, "ga4ti5": 142, "2731": 142, "ga3ti": 142, "30672": 142, "gati3": 142, "2643": 142, "cu4ti3": 142, "568151": 142, "ti5ge3": 142, "30673": 142, "ga3ti2": 142, "607225": 142, "ga5mn2": 142, "24726": 142, "tih2": 142, "cuzn": 142, "636105": 142, "972069": 142, "1340": 142, "ga2se3": 142, "568263": 142, "gase": 142, "999540": 142, "572892": 142, "555599": 142, "849081": 142, "20473": 142, "mn2ge": 142, "760381": 142, "mns2": 142, "20526": 142, "ruti": 142, "1014303": 142, "cr3n2": 142, "504": 142, "11800": 142, "14769": 142, "10204": 142, "555763": 142, "8780": 142, "cr2n": 142, "crsi2": 142, "13852": 142, "571342": 142, "ga2ti": 142, "22585": 142, "rh2ge": 142, "1572": 142, "2562": 142, "17094": 142, "mo5ge3": 142, "488": 142, "706531": 142, "22510": 142, "11342": 142, "1014358": 142, "1634": 142, "700": 142, "561118": 142, "20344": 142, "fe3g": 142, "24161": 142, "2242": 142, "1428": 142, "ni5ge3": 142, "32616": 142, "13555": 142, "618991": 142, "cu2": 142, "1543": [142, 151, 154], "ptge2": 142, "684710": 142, "cu9s5": 142, "30045": 142, "coge2": 142, "1594": 142, "ni2g": 142, "22320": 142, "garu": 142, "569594": 142, "fe7mo6": 142, "12910": 142, "1018019": 142, "640708": 142, "fege2": 142, "29900": 142, "nige2": 142, "12585": 142, "crrh3": 142, "865027": 142, "mn3ge": 142, "1425": 142, "10843": 142, "553973": 142, "1311": 142, "cr5s6": 142, "14047": 142, "1009133": 142, "comn": 142, "8937": 142, "557054": 142, "628773": 142, "snse": 142, "21405": 142, "ins": 142, "mopt2": 142, "1379": 142, "1670": 142, "mnpt": 142, "865362": 142, "irzn3": 142, "irti": 142, "1120": 142, "irmo3": 142, "2728": 142, "irmn": 142, "607450": 142, "in3ru": 142, "30882": 142, "tizn2": 142, "570691": 142, "snti3": 142, "2582": 142, "tisi2": 142, "1190": 142, "znse": 142, "2194": 142, "tise2": 142, "22142": 142, "se2si": 142, "7583": 142, "s2si": 142, "510219": 142, "rusn2": 142, "974455": 142, "re3ru": 142, "1115": 142, "ptse2": 142, "762": 142, "pts2": 142, "1018121": 142, "pd2ti": 142, "442": 142, "pbrh": 142, "21318": 142, "pb2pt": 142, "20599": 142, "pb2pd": 142, "849059": 142, "nis2": 142, "2592": [142, 147, 149], "mosi2": 142, "1018028": 142, "862655": 142, "ru3w": 142, "971788": 142, "ru3v": 142, "189": [142, 147], "rusi": 142, "7565": 142, "rusb": 142, "971779": 142, "rh3zn": 142, "2583": 142, "rhti": 142, "ptzn": 142, "865425": 142, "pd3zn": 142, "21165": 142, "pdse": 142, "974326": 142, "osru3": 142, "1048": 142, "niti": 142, "12595": 142, "morh": 142, "1431": 142, "mnsi": 142, "11482": 142, "ir3mo": 142, "864735": 142, "irmn3": 142, "30875": 142, "snti2": 142, "998949": 142, "ptti": 142, "321": 142, "pb2rh": 142, "20828": 142, "pbpt3": 142, "556005": 142, "697135": 142, "558378": 142, "pd3": 142, "2327": 142, "tizn16": 142, "572758": 142, "res2": 142, "630528": 142, "InS": 142, "555853": 142, "in6s7": 142, "684731": 142, "ti13s24": 142, "754553": 142, "zn3n2": 142, "636328": 142, "pd3ti": 142, "568264": 142, "767208": 142, "s27sb17": 142, "12087": 142, "721582": 142, "22700": 142, "v3se4": 142, "1407": 142, "rh3se8": 142, "20849": 142, "pbpd3": 142, "753": 142, "znsb": 142, "786": 142, "mnsb": 142, "238": [142, 147], "mnpd": 142, "11481": 142, "irmo": 142, "672326": 142, "850131": 142, "8936": 142, "865342": 142, "rhzn3": 142, "1602": 142, "9984": 142, "sns2": 142, "29767": 142, "pt5se4": 142, "13447": 142, "rhzn13": 142, "753921": 142, "s18sb11": 142, "673633": 142, "in2s3": 142, "571651": 142, "tise": 142, "11191": 142, "690772": 142, "v5s8": 142, "30856": 142, "pt3zn": 142, "618": [142, 157], "pd7se2": 142, "1943": 142, "10281": 142, "15221": 142, "s5sb2": 142, "11598": 142, "556742": 142, "2418": 142, "pdse2": 142, "9889": 142, "971804": 142, "ni3zn": 142, "2565": 142, "ns2": 142, "2168": 142, "850068": 142, "21673": 142, "pt3ge2": 142, "567596": 142, "in6se7": 142, "1023933": 142, "wse2": 142, "672706": 142, "sb2se3": 142, "12594": 142, "20576": 142, "637255": 142, "sn3ti2": 142, "20250": 142, "541155": 142, "vs4": 142, "32630": 142, "ti19se20": 142, "30852": 142, "pt8ti": 142, "13448": 142, "rh2zn11": 142, "1368": 142, "cu5zn8": 142, "17383": 142, "616559": 142, "ti2": 142, "2160": 142, "554462": 142, "9460": 142, "2231": 142, "556395": 142, "15651": 142, "nise": 142, "1275": 142, "mo3si": 142, "560588": 142, "re24ti5": 142, "767469": 142, "ni9s10": 142, "567653": 142, "ni4ti3": 142, "mnrh": 142, "1152": 142, "rh3ti": 142, "22192": 142, "ru2si3": 142, "2156": 142, "1025572": 142, "541582": 142, "rese2": 142, "13164": 142, "pdti2": 142, "11563": 142, "22033": 142, "ti5sb3": 142, "571640": 142, "pt2ge3": 142, "9813": 142, "ws2": 142, "1027525": 142, "1028441": 142, "17173": 142, "rh2s3": 142, "523": 142, "20432": 142, "fe2g": 142, "28256": 142, "v2se9": 142, "7092": 142, "tisi": 142, "2815": [142, 147], "7790": 142, "ti2n": 142, "604914": 142, "vse": 142, "423": 142, "pd2ge": 142, "22691": 142, "2515": [142, 154], "crpt3": 142, "2070": 142, "33024": 142, "2187": 142, "tisb": 142, "1017565": 142, "in2se3": 142, "2811": 142, "mon": 142, "snse2": 142, "13682": 142, "pds2": 142, "1486": 142, "nizn": 142, "1902": 142, "758104": 142, "mn11pd21": 142, "31138": 142, "mnpd3": 142, "22375": 142, "2065": 142, "21078": 142, "1361": 142, "irse2": 142, "1797": [142, 147, 149], "mnni": 142, "849060": 142, "vs2": 142, "32861": 142, "1081": 142, "v3s4": 142, "979261": 142, "pdti": 142, "21296": 142, "pb4pt": 142, "30840": 142, "pd3ti2": 142, "1002063": 142, "567747": 142, "co7mo6": 142, "6938": 142, "rhzn": 142, "570199": 142, "pd5ti3": 142, "823": 142, "coti": 142, "1821": 142, "1023925": 142, "865899": 142, "osti3": 142, "2480": 142, "osse2": 142, "20905": 142, "oss2": 142, "13036": 142, "999517": 142, "mnn": 142, "9888": 142, "ir3se8": 142, "861979": 142, "ir2s3": 142, "1018125": 142, "reti2": 142, "8282": 142, "971941": 142, "nizn3": 142, "irti3": 142, "865355": 142, "ptzn3": 142, "603347": 142, "573": 142, "ni3se4": 142, "597": 142, "9920": 142, "tis3": 142, "8781": 142, "865357": 142, "pdzn3": 142, "680339": 142, "mn4si7": 142, "510412": 142, "ru4si3": 142, "1652": 142, "pdzn": 142, "20485": 142, "1023940": 142, "21021": 142, "mo3se4": 142, "20191": 142, "680576": 142, "ti2s": 142, "1409": [142, 147, 149], "ni3ti": 142, "2056": 142, "ni3se2": 142, "980094": 142, "27953": 142, "mo2n": 142, "1023924": 142, "971909": 142, "865022": 142, "ir3mn": 142, "999502": 142, "mopt": 142, "2833": 142, "irs2": 142, "7051": 142, "20382": 142, "sn5ti6": 142, "1050": 142, "ni3s4": 142, "862620": 142, "irru3": 142, "691": 142, "13876": 142, "tin": 142, "505622": 142, "mn4n": 142, "998979": 142, "inti3": 142, "559676": 142, "1027692": 142, "29841": 142, "rh3s4": 142, "30851": 142, "pt5ti3": 142, "620032": 142, "1332": [142, 147, 149], "mo5si3": 142, "rhse": 142, "20916": 142, "v5ge3": 142, "22239": 142, "980200": 142, "569678": 142, "pb5rh4": 142, "864984": 142, "mnv3": 142, "998945": 142, "593": 142, "al4cu9": 142, "9946": 142, "2503": 142, "pd7se4": 142, "1547": 142, "30826": 142, "pb9pd13": 142, "974421": 142, "irru": 142, "1014318": 142, "7818": 142, "pd4se": 142, "1018157": 142, "crn": 142, "636946": 142, "fe6ge5": 142, "11241": 142, "558110": 142, "694": 142, "vse2": 142, "640189": 142, "19795": 142, "568789": 142, "17413": 142, "rh5ti3": 142, "ni3s2": 142, "11532": 142, "ni2zn11": 142, "971758": 142, "sn2s3": 142, "799": 142, "1133": 142, "v5s4": 142, "1007923": 142, "crni3": 142, "784630": 142, "moni2": 142, "617291": 142, "mn5ge3": 142, "11578": 142, "vzn3": 142, "980420": 142, "ti3si": 142, "555410": 142, "505780": 142, "ir3ge7": 142, "429": 142, "21030": 142, "673655": 142, "1013525": 142, "972071": 142, "mov3": 142, "865382": 142, "ruv3": 142, "849083": 142, "10025": 142, "ru2si": 142, "21289": 142, "tizn3": 142, "1876": [142, 147, 149], "1170": 142, "2693": 142, "2809": [142, 154], "s3sb2": 142, "862630": 142, "reru3": 142, "1089": 142, "ir3ti": 142, "11765": 142, "ti5se4": 142, "1868": 142, "1018124": 142, "rhti2": 142, "12083": 142, "crir3": 142, "2716": 142, "755263": 142, "1013526": 142, "7945": 142, "v3": 142, "1023939": 142, "20711": 142, "20901": 142, "nise2": 142, "12727": 142, "11504": 142, "1014229": 142, "ti2zn": 142, "1018807": 142, "11546": 142, "13456": 142, "7819": [142, 154], "pd4": 142, "393": 142, "pd16s7": 142, "505527": 142, "ti5si4": 142, "29141": 142, "re3ge7": 142, "9561": 142, "662": 142, "569837": 142, "ti3sb": 142, "557719": 142, "9981": 142, "mn2n": 142, "943": 142, "co3s4": 142, "mo3g": 142, "8938": 142, "983": 142, "rhse2": 142, "974625": 142, "510032": 142, "os2ge3": 142, "568232": 142, "558811": 142, "1014230": 142, "tizn": 142, "1025571": 142, "619905": 142, "ti9se2": 142, "224": 142, "569815": 142, "rusi2": 142, "571033": 142, "19932": 142, "in4se3": 142, "20928": 142, "rusb2": 142, "2108": 142, "ti5si3": 142, "1018809": 142, "13180": 142, "557523": 142, "30674": 142, "ga3ti5": 142, "380": 142, "9227": 142, "ti3se4": 142, "2164": 142, "mo3s4": 142, "20847": 142, "sn3ti5": 142, "2507": 142, "850049": 142, "680677": 142, "ru2sn3": 142, "20061": 142, "pt2ge": 142, "22745": 142, "co9se8": 142, "1111": [142, 154], "mn5si3": 142, "299": 142, "mo9se11": 142, "612740": 142, "208": 142, "irg": 142, "1023934": 142, "22344": 142, "ru3sn7": 142, "1365": [142, 154], "ti6ge5": 142, "866186": 142, "ti3zn": 142, "291": 142, "osti": 142, "1025799": 142, "556597": 142, "in3s4": 142, "568": [142, 147], "tisb2": 142, "492": 142, "556392": 142, "554609": 142, "1180": [142, 147], "mnpt3": 142, "9027": 142, "1395": 142, "ruv": 142, "16610": 142, "541844": 142, "ir4ge5": 142, "972220": 142, "pt3ti": 142, "555283": 142, "680850": 142, "ti8s3": 142, "21008": 142, "ni3g": 142, "1667": 142, "co2g": 142, "866046": 142, "685120": 142, "30747": 142, "ir2zn11": 142, "6933": 142, "11501": 142, "mnni3": 142, "30787": 142, "morh3": 142, "1412": 142, "30082": 142, "ni19ge12": 142, "2339": 142, "ptti3": 142, "1009130": 142, "20211": 142, "mn3si": 142, "2084": 142, "ir3si5": 142, "20433": 142, "in4ti3": 142, "976920": 142, "ni9s8": 142, "974381": 142, "13685": 142, "2404": 142, "al2ca": 142, "864758": 142, "inna3": 142, "2450": 142, "casn": 142, "30479": 142, "ca3pb": 142, "20581": 142, "ca3in": 142, "2360": 142, "cage": 142, "1009756": 142, "ca2pb": 142, "12659": 142, "mn2nb": 142, "568901": 142, "fe2nb": 142, "983445": 142, "na3pt": 142, "2670": [142, 154], "ganb3": 142, "2752": 142, "aunb3": 142, "2059": 142, "nba": 142, "796": 142, "alnb3": 142, "538": 142, "agca": 142, "11515": 142, "nbrh": 142, "11514": 142, "nbpt2": 142, "1266": 142, "na2s": 142, "20555": 142, "napb3": 142, "1415": 142, "571262": 142, "carh2": 142, "842": 142, "capt2": 142, "976589": 142, "in3na": 142, "1009733": 142, "ca2si": 142, "11516": 142, "nbru": 142, "1135": 142, "nbpd3": 142, "1932": 142, "nb3o": 142, "11513": 142, "nbni3": 142, "22003": 142, "nan3": 142, "1842": 142, "al3nb": 142, "20628": 142, "inna": 142, "20549": 142, "capb3": 142, "24154": 142, "nbh2": 142, "953": 142, "nbzn3": 142, "454": 142, "ga4na": 142, "995122": 142, "nbs2": 142, "1326": 142, "nb3sn": 142, "2053": 142, "nb3sb": 142, "977434": 142, "nb3ru": 142, "999376": 142, "nbpt": 142, "1018151": 142, "nbpd2": 142, "1359": 142, "irnb": 142, "1725": 142, "cazn2": 142, "2295": 142, "cani2": 142, "13270": 142, "ag2ca": 142, "12723": 142, "auca": 142, "8860": 142, "na3a": 142, "21068": 142, "cain2": 142, "864742": 142, "na3sn": 142, "11290": 142, "casn3": 142, "976765": 142, "auna3": 142, "966": 142, "7927": 142, "nb4n5": 142, "co2nb": 142, "2402": 142, "nasi": 142, "1606": 142, "au2nb": 142, "982871": 142, "1563": 142, "casi": 142, "1973": 142, "ga3nb": 142, "977426": 142, "co3nb": 142, "1963": 142, "774": 142, "cani5": 142, "30352": 142, "ag2na": 142, "7956": 142, "na3sb": 142, "1136": 142, "1451": 142, "20034": 142, "capb": 142, "11284": 142, "caga2": 142, "na2": 142, "1734": 142, "cazn5": 142, "1672": 142, "2243": 142, "1009755": 142, "ca2g": 142, "30366": 142, "auca3": 142, "1900": 142, "caas3": 142, "2648": 142, "18427": 142, "alnb2": 142, "au2ca": 142, "1363": 142, "auna2": 142, "1052": 142, "au2na": 142, "21187": 142, "cain": 142, "2179": 142, "reti": 142, "30485": 142, "ca3zn": 142, "862": [142, 147], "casi2": 142, "1884": 142, "ca5ge3": 142, "669692": 142, "570538": 142, "30794": 142, "na15sn4": 142, "15514": 142, "nase2": 142, "7598": 142, "nbas2": 142, "567996": 142, "nb5si3": 142, "647": 142, "2400": 142, "7493": 142, "casb2": 142, "31430": 142, "inna2": 142, "568172": 142, "ca3n2": 142, "12107": 142, "2663": 142, "nb3pt": 142, "12700": 142, "nbpt3": 142, "31010": 142, "ca2as3": 142, "12467": 142, "ca5sb3": 142, "1969": 142, "nbsb2": 142, "15668": 142, "nase": 142, "409": 142, "567456": 142, "cage2": 142, "30483": 142, "cazn": 142, "569167": 142, "nb4n3": 142, "27793": 142, "nb2se": 142, "13686": 142, "6914": 142, "caga": 142, "2700": 142, "10047": 142, "ca5as3": 142, "7944": 142, "nasb": 142, "542377": 142, "na9sn4": 142, "30481": 142, "capt5": 142, "2330": 142, "nb2se3": 142, "1028698": 142, "2517": 142, "7007": 142, "nbse2": 142, "15837": 142, "nb5se4": 142, "888": 142, "caa": 142, "2461": 142, "caga4": 142, "541106": 142, "nb2se9": 142, "1882": 142, "cacu5": 142, "1009730": 142, "ca2sn": 142, "30798": 142, "nbzn2": 142, "548": 142, "cr2nb": 142, "556978": 142, "30478": 142, "571264": 142, "au4ca5": 142, "585949": 142, "cacu": 142, "2686": 142, "ca2n": 142, "525": 142, "nbse3": 142, "22216": 142, "11393": 142, "ga2nb3": 142, "31284": 142, "nasn5": 142, "643063": 142, "10106": 142, "ca2a": 142, "22735": 142, "13146": 142, "1498": 142, "al21pd8": 142, "1047": 142, "30367": 142, "au2ca5": 142, "2786": 142, "ca5zn3": 142, "583168": 142, "nasn2": 142, "774873": 142, "992": 142, "20669": 142, "ca2in": 142, "7250": 142, "co7nb6": 142, "571133": 142, "1982": 142, "al21pt8": 142, "29657": 142, "nage": 142, "30473": 142, "ca3ga5": 142, "510285": 142, "ti11se4": 142, "569708": 142, "1976": 142, "12614": 142, "ca2cu": 142, "12699": 142, "au4ca3": 142, "16074": 142, "12892": 142, "1521": 142, "mo3sb7": 142, "18567": 142, "cazn11": 142, "12180": 142, "nas2": 142, "11051": 142, "nasn": 142, "12611": 142, "ca3ga8": 142, "554074": 142, "9925": 142, "ca2sb": 142, "1072": 142, "ga13nb5": 142, "30368": 142, "au3ca5": 142, "864754": 142, "655": 142, "568293": 142, "16770": 142, "ag7ca2": 142, "1339": 142, "ir3nb": 142, "754556": 142, "nb3n5": 142, "31172": 142, "ag3ca5": 142, "12104": 142, "nbsi2": 142, "11826": 142, "capd5": 142, "274": 142, "nb5sb4": 142, "833": 142, "capd2": 142, "17564": 142, "999389": 142, "fe3nb": 142, "568347": 142, "844": 142, "17910": 142, "nb5ge3": 142, "2449": 142, "nbrh3": 142, "1009657": 142, "can2": 142, "1046": 142, "nbsn2": 142, "676": 142, "can6": 142, "567871": 142, "540660": 142, "nb4as3": 142, "2123": 142, "au2nb3": 142, "316": 142, "mnv": 142, "10228": 142, "568920": 142, "au5ca": 142, "685124": 142, "ni19se20": 142, "562100": 142, "nbs3": 142, "793": 142, "ca5si3": 142, "540625": 142, "gese2": 142, "984698": 142, "ca3pt2": 142, "23713": 142, "cah2": 142, "685050": 142, "nb16n9": 142, "24809": 142, "7597": 142, "28127": 142, "na2s5": 142, "640041": 142, "nbzn16": 142, "554405": 142, "1014369": 142, "13364": 142, "30471": 142, "618883": 142, "30883": 142, "v4zn5": 142, "976971": 142, "napd3": 142, "561": 142, "nb3se4": 142, "567345": 142, "974358": 142, "ir3ru": 142, "571383": 142, "2207": 142, "304": 142, "8372": 142, "363": [142, 147], "nbge2": 142, "11517": 142, "nbru3": 142, "646824": 142, "ag8ca3": 142, "13147": 142, "850083": 142, "20263": 142, "571270": 142, "1018021": 142, "22555": 142, "rhs2": 142, "1009654": 142, "1513": 142, "co9s8": 142, "1024": 142, "601833": 142, "fe13ge3": 142, "1373": 142, "nb3ge": 142, "568121": 142, "2634": 142, "nbn": 142, "13286": 142, "556815": 142, "32913": 142, "nb16n13": 142, "305": 142, "feti": 142, "mo3pt": 142, "12662": 142, "mo5re24": 142, "30857": 142, "pt7zn12": 142, "30792": 142, "napb": 142, "21681": 142, "nb5ge4": 142, "1458": 142, "irnb3": 142, "31019": 142, "al45cr7": 142, "1874": 142, "570356": 142, "ca5ir": 142, "1749": 142, "al4ca": 142, "213": 142, "capd": 142, "684898": 142, "cu18s11": 142, "2699": 142, "21895": 142, "na15pb4": 142, "23870": 142, "nah": 142, "18032": 142, "ga4nb5": 142, "1068": 142, "1014379": 142, "561320": 142, "7234": 142, "nb5n6": 142, "10033": 142, "568636": 142, "16842": 142, "1545": 142, "nb3rh": 142, "571": [142, 147], "570436": 142, "cair2": 142, "17848": 142, "nb3si": 142, "2701": 142, "2271": 142, "napt2": 142, "2478": 142, "1007974": 142, "570293": 142, "ga3nb5": 142, "21117": 142, "10074": 142, "1018804": 142, "604908": 142, "cose": 142, "2078": [142, 147, 149], "cuti": 142, "27840": 142, "cr3se4": 142, "1012435": 142, "24208": 142, "crh2": 142, "570895": 142, "863750": 142, "1078666": 142, "1057086": 142, "685149": 142, "k5sb4": 142, "1025874": 142, "570791": 142, "csi": 142, "571199": 142, "1080831": 142, "850037": 142, "1077503": 142, "1080204": 142, "mn3n4": 142, "985577": 142, "29055": 142, "ksb2": 142, "9947": 142, "21256": 142, "mn7c3": 142, "1067475": 142, "1022": 142, "k2": 142, "983509": 142, "cdna3": 142, "1072712": 142, "1095592": 142, "850036": 142, "1073": [142, 147], "cacd": 142, "1079796": 142, "pdti3": 142, "1093999": 142, "agzn2": 142, "1096898": 142, "1078721": 142, "18167": 142, "ca3cd2": 142, "1023900": 142, "ssi": 142, "542587": 142, "1069288": 142, "ga4mn": 142, "569989": 142, "nb2c": 142, "991544": 142, "1079997": 142, "pt8v": 142, "865985": 142, "cdpd3": 142, "21170": 142, "kpb2": 142, "1298": 142, "au5k": 142, "1080667": 142, "alco3": 142, "672372": 142, "k2s5": 142, "2318": 142, "1071018": 142, "1077925": 142, "na5sn2": 142, "570641": 142, "1062758": 142, "1078996": 142, "nb3si2": 142, "1095694": 142, "1079337": 142, "12627": 142, "nb3s4": 142, "865910": 142, "ag3cd": 142, "2469": 142, "1591": 142, "al4c3": 142, "1077448": 142, "1087486": 142, "1064220": 142, "1078766": 142, "1094034": 142, "ti3c2": 142, "973166": 142, "cd3na": 142, "22749": 142, "mn5c2": 142, "1094140": 142, "mnge2": 142, "1696": 142, "cdpd": 142, "631": [142, 157], "tic": 142, "1078699": 142, "1080657": 142, "s4si": 142, "1063938": 142, "570112": 142, "cr3c2": 142, "10159": 142, "k3sb": 142, "1078873": 142, "24084": 142, "kh": 142, "990532": 142, "567505": 142, "1066400": 142, "2034": 142, "w2c": 142, "1095643": 142, "30401": 142, "au2k": 142, "713": 142, "ka": 142, "827": 142, "kn3": 142, "1070580": 142, "al3ru2": 142, "1058696": 142, "1080376": 142, "865077": 142, "ga3k": 142, "1057785": 142, "1061861": 142, "1057015": 142, "1079582": 142, "684989": 142, "w9c4": 142, "22481": 142, "in4k": 142, "1062948": 142, "12735": 142, "ag2k": 142, "559278": 142, "7373": 142, "cda": 142, "1063561": 142, "906903": 142, "8700": 142, "au3k2": 142, "1077083": 142, "fesb2": 142, "1077440": 142, "990232": 142, "850013": 142, "568052": 142, "ga3k2": 142, "1077429": 142, "nbni2": 142, "1039147": 142, "11713": 142, "1078875": 142, "1079393": 142, "co3si": 142, "990090": 142, "1065394": 142, "1003509": 142, "684650": 142, "1021328": 142, "557096": 142, "1077263": 142, "1087479": 142, "co3cr": 142, "1064952": 142, "1079182": 142, "1079082": 142, "865144": 142, "au3cd": 142, "849054": 142, "1038828": 142, "568067": 142, "nipt": 142, "504425": 142, "nb3a": 142, "1095440": 142, "cds2": 142, "974437": 142, "re2c": 142, "1077790": 142, "8062": 142, "1066232": 142, "1072429": 142, "ga2ru": 142, "567860": 142, "1080603": 142, "cofe7": 142, "567397": 142, "1097822": 142, "20648": 142, "v2c": 142, "471": 142, "cdas2": 142, "849082": 142, "1072707": 142, "1066718": 142, "30500": 142, "cdti": 142, "910": 142, "nbc": 142, "991219": 142, "1444": 142, "cacd2": 142, "1079030": 142, "1079863": 142, "919914": 142, "1067933": 142, "1069841": 142, "v2n3": 142, "1080586": 142, "1079585": 142, "nb2n": 142, "555280": 142, "27814": 142, "cs14": 142, "1079127": 142, "ti2h3": 142, "1067248": 142, "31381": 142, "nb21s8": 142, "672": 142, "684799": 142, "k5as4": 142, "1062030": 142, "13688": 142, "1018050": 142, "crc": 142, "1079029": 142, "1077179": 142, "was2": 142, "1080147": 142, "568656": 142, "1040453": 142, "1079042": 142, "1008632": 142, "17146": 142, "1095294": 142, "1071032": 142, "1078526": 142, "gapd": 142, "2305": 142, "moc": 142, "27919": 142, "ti8c5": 142, "1095683": 142, "1064359": 142, "1069815": 142, "in3pt2": 142, "7667": 142, "k2s3": 142, "1079946": 142, "1084800": 142, "vge2": 142, "684638": 142, "30501": 142, "cdti2": 142, "582034": 142, "570810": 142, "1077045": 142, "ti2h": 142, "19855": 142, "cr7c3": 142, "1023937": 142, "568086": 142, "7140": 142, "1079131": 142, "1097859": 142, "mn3ge5": 142, "568696": 142, "684602": 142, "1096986": 142, "1078213": 142, "1062804": 142, "1078696": 142, "1078464": 142, "mnge": 142, "1064497": 142, "1009152": 142, "937052": 142, "14017": 142, "1095057": 142, "30371": 142, "au3cd5": 142, "1078989": 142, "20937": 142, "1078500": 142, "10229": 142, "555293": 142, "1095578": 142, "ga5ni": 142, "1095024": 142, "ti4h5": 142, "1078867": 142, "1059972": 142, "1079460": 142, "1077482": 142, "2760": [142, 154], "nb6c5": 142, "1077232": 142, "1079254": 142, "co2a": 142, "568619": 142, "850034": 142, "1077959": 142, "10721": 142, "ti2c": 142, "570786": 142, "kna2": 142, "1194": 142, "cdpt": 142, "628766": 142, "20426": 142, "fe2a": 142, "2757": 142, "aucd": 142, "1078389": 142, "2642": 142, "agcd": 142, "990243": 142, "1552": 142, "mo2c": 142, "1079269": 142, "pt3si": 142, "1067236": 142, "cdpt3": 142, "1070544": 142, "crga4": 142, "1078665": 142, "554134": 142, "1056985": 142, "1078466": 142, "850014": 142, "7631": 142, "1264": 142, "1079399": 142, "fev3": 142, "1080093": 142, "30021": 142, "1076981": 142, "1536": 142, "ksb": 142, "1072660": 142, "vas2": 142, "11714": 142, "1091375": 142, "1404": 142, "28930": 142, "kc8": 142, "985782": 142, "1072724": 142, "1066274": 142, "pbpt": 142, "1039262": 142, "cazn3": 142, "1080834": 142, "na5as4": 142, "1087219": 142, "1096882": 142, "1894": 142, "wc": 142, "1062153": 142, "1078895": 142, "mn3pd5": 142, "1077803": 142, "991114": 142, "1078755": 142, "pt3sb": 142, "10596": 142, "feir3": 142, "1097796": 142, "570690": 142, "2282": 142, "1287": [142, 154], "910968": 142, "1321": 142, "cdsb": 142, "1078697": 142, "1080448": 142, "1282": 142, "vc": 142, "1067627": 142, "567551": 142, "1072645": 142, "866022": 142, "32679": 142, "nb10c7": 142, "1808": 142, "niti2": 142, "1802": 142, "21260": 142, "fesn": 142, "20139": 142, "849067": 142, "1078123": 142, "ti4h3": 142, "1063314": 142, "ca2rh": 142, "21613": 142, "k5pb24": 142, "1077023": 142, "cu2ti": 142, "1079496": 142, "1095397": 142, "612701": 142, "14018": 142, "k3a": 142, "1084753": 142, "866659": 142, "c19h34": 142, "568735": 142, "1060435": 142, "567857": 142, "ag5cd8": 142, "13374": 142, "542333": 142, "16886": 142, "849073": 142, "542730": 142, "v8c7": 142, "1078": 142, "557308": 142, "28731": 142, "v6c5": 142, "936": 142, "hg4pt": 142, "863720": 142, "hgpd3": 142, "985443": 142, "ag3hg": 142, "1077354": 142, "11286": 142, "cahg": 142, "11287": 142, "cahg2": 142, "1103211": 142, "255": [142, 147], "hgna": 142, "1103057": 142, "pd5ge": 142, "1103139": 142, "ca2hg": 142, "9252": 142, "1102616": 142, "1105134": 142, "pd3a": 142, "1091387": 142, "cahg3": 142, "1106111": 142, "1102900": 142, "1102364": 142, "11288": 142, "ca3hg2": 142, "2560": 142, "hgti3": 142, "1101178": 142, "570560": 142, "hg2na3": 142, "1105935": 142, "ru5si3": 142, "1106289": 142, "ga7pd3": 142, "1103570": 142, "ca5pt2": 142, "1103038": 142, "ir2si": 142, "1103252": 142, "pd2zn": 142, "1101099": 142, "ti2s3": 142, "1103373": 142, "ksn2": 142, "1106356": 142, "1101884": 142, "11462": 142, "hgk": 142, "1526": 142, "hgti": 142, "1106381": 142, "naa": 142, "8675": 142, "hgpd": 142, "973676": 142, "1105044": 142, "nb6ni7": 142, "1095456": 142, "11466": 142, "hg2na": 142, "985451": 142, "1102640": 142, "mnpd2": 142, "1102090": 142, "1102167": 142, "cani3": 142, "30721": 142, "hg5pd2": 142, "1103618": 142, "1101826": 142, "ir3s8": 142, "1106061": 142, "ca3pd": 142, "29551": 142, "hgna3": 142, "1101173": 142, "1104275": 142, "11870": 142, "hg2rh": 142, "1103643": 142, "1101754": 142, "ti4h7": 142, "1104334": 142, "co6nb7": 142, "1105285": 142, "1100766": 142, "977129": 142, "1101983": 142, "1103044": 142, "rhsn2": 142, "1102348": 142, "20132": 142, "hgin": 142, "1123": 142, "983365": 142, "hgk3": 142, "2685": 142, "1106023": 142, "nisb3": 142, "2354": 142, "1104165": 142, "al12mn": 142, "1072086": 142, "tas2": 142, "19884": 142, "mn3p": 142, "2781": 142, "pdsc": 142, "22704": 142, "ini": 142, "1078012": 142, "cr3te4": 142, "cate": 142, "1105296": 142, "srge3": 142, "571499": 142, "irta": 142, "632319": 142, "csh": 142, "1019319": 142, "tcn": 142, "28919": 142, "hf3te2": 142, "11550": 142, "ptsc2": 142, "7459": 142, "mote2": 142, "27666": 142, "ircl3": 142, "1357": 142, "rhp3": 142, "573514": 142, "cssb": 142, "1025459": 142, "hfte3": 142, "22922": 142, "agcl": 142, "571096": 142, "fecl2": 142, "29652": 142, "tase3": 142, "srzn5": 142, "1954": 142, "n5p3": 142, "973143": 142, "sczn3": 142, "22204": 142, "co2p": 142, "632219": 142, "zrh": 142, "1087509": 142, "osp4": 142, "7463": 142, "cu3p": 142, "570832": 142, "pt5sr": 142, "915": 142, "cdy": 142, "1103521": 142, "rh5sr8": 142, "22855": 142, "hgcl2": 142, "30354": 142, "ag4sc": 142, "541180": 142, "pt2te3": 142, "755523": 142, "1071269": 142, "hgte": 142, "22477": 142, "ta2p": 142, "1025513": 142, "zrge": 142, "38970": 142, "ga2te3": 142, "9922": 142, "hfs3": 142, "zrsb2": 142, "1094267": 142, "snzr3": 142, "265": 142, "ir3ta": 142, "30572": 142, "gahf2": 142, "25469": 142, "alcl3": 142, "1007692": 142, "hfpd": 142, "11449": 142, "hfmn2": 142, "973092": 142, "cu3sc": 142, "1104019": 142, "pd4y3": 142, "11230": 142, "aly2": 142, "1109": 142, "al9sr5": 142, "1087": 142, "754": 142, "rhte2": 142, "1392": 142, "znp2": 142, "15965": 142, "hf5si3": 142, "1331": 142, "cd2y": 142, "20050": 142, "inp3": 142, "2398": 142, "scsn2": 142, "28112": 142, "in5cl9": 142, "861889": 142, "sc3tc": 142, "632311": 142, "ta2h": 142, "11261": 142, "aui": 142, "7859": 142, "30682": 142, "gazr": 142, "1018150": 142, "nbte2": 142, "567276": 142, "tav2": 142, "9971": 142, "yge": 142, "1101909": 142, "vcl5": 142, "8426": 142, "k2se": 142, "864635": 142, "ag2cl3": 142, "999204": 142, "al3sc": 142, "9907": 142, "sras3": 142, "11693": 142, "ptte": 142, "754381": 142, "zr3n4": 142, "570428": 142, "insc3": 142, "569388": 142, "irte2": 142, "1630": 142, "hgzr3": 142, "14172": 142, "srsi2": 142, "20539": 142, "in3sc": 142, "1106": 142, "sr2si": 142, "573763": 142, "cs2te": 142, "569954": 142, "cd11sr": 142, "22600": 142, "sc3p2": 142, "570751": 142, "nb3te": 142, "404": 142, "mnte": 142, "27606": 142, "zras2": 142, "570684": 142, "os2zr": 142, "1104286": 142, "rhge4": 142, "1014265": 142, "zr2n": 142, "972326": 142, "pt3tc": 142, "14288": 142, "sr3p4": 142, "570763": 142, "vcl4": 142, "20123": 142, "aute2": 142, "191": [142, 147, 157], "rhy": 142, "17449": 142, "tc3p": 142, "983388": 142, "1095545": 142, "tc2zr": 142, "568376": 142, "ga3ta5": 142, "1018054": 142, "hfpt3": 142, "570960": 142, "hfos2": 142, "555935": 142, "ta2": 142, "1102131": 142, "pdsr2": 142, "ya": 142, "2775": 142, "al4sr": 142, "30725": 142, "hg2y": 142, "7291": 142, "crp2": 142, "570122": 142, "10155": 142, "irp2": 142, "23204": 142, "fecl3": 142, "7273": 142, "rh3te8": 142, "27507": 142, "sccl": 142, "1476": 142, "11256": 142, "ausc": 142, "2828": 142, "hfn": 142, "30885": 142, "yzn5": 142, "23275": 142, "ticl3": 142, "16719": 142, "al12tc": 142, "927": 142, "cup2": 142, "31205": 142, "fezr3": 142, "2052": 142, "sca": 142, "27173": 142, "rup4": 142, "567279": 142, "zncl2": 142, "11460": 142, "hftc": 142, "11471": 142, "hgsc": 142, "12769": 142, "ysi2": 142, "568526": 142, "hg2sr": 142, "1018891": 142, "pdcl2": 142, "2667": 142, "auc": 142, "30797": 142, "nb5te4": 142, "11573": 142, "tcti": 142, "2510": 142, "hgzr": 142, "1352": 142, "zrn": 142, "1907": 142, "tite2": 142, "1102030": 142, "tc2y": 142, "30746": 142, "iri": 142, "1014160": 142, "1105078": 142, "hf3in4": 142, "1114": 142, "vp": 142, "215": [142, 147], "ysb": 142, "985829": 142, "hfs2": 142, "567354": 142, "1018149": 142, "cu2sc": 142, "2490": [142, 147, 149], "gap": [142, 147], "2114": 142, "yn": 142, "956096": 142, "fe2hf": 142, "17639": 142, "y2zn17": 142, "22857": 142, "crcl2": 142, "981383": 142, "scsn3": 142, "9983": [142, 147], "ta2se3": 142, "7806": 142, "cr3p": 142, "22897": 142, "hgcl": 142, "782": 142, "pdte2": 142, "684690": 142, "sc2se3": 142, "676241": 142, "2293": 142, "978546": 142, "sc3sb": 142, "30383": 142, "auhf2": 142, "11237": 142, "agsc": 142, "28266": 142, "pdp2": 142, "31040": 142, "nbcl4": 142, "7897": 142, "k3p": 142, "13870": 142, "tase2": 142, "1260": 142, "pd5sr": 142, "2802": 142, "hfru": 142, "1018104": 142, "cdzr2": 142, "cote": 142, "570578": 142, "in3zr": 142, "11239": 142, "agzr": 142, "11228": 142, "ali": 142, "1120746": 142, "1095443": 142, "fe2sc": 142, "1106195": 142, "w3p": 142, "1642": 142, "ta5n6": 142, "7904": 142, "cdp4": 142, "1104372": 142, "nb6zn7": 142, "12752": 142, "al3zr4": 142, "13495": 142, "pdzr": 142, "1883": 142, "snte": 142, "2116": 142, "mn2zr": 142, "1105836": 142, "sc2s3": 142, "754353": 142, "1011695": 142, "cs2se": 142, "22693": 142, "wte2": 142, "1078602": 142, "1063245": 142, "rhsr2": 142, "2782": 142, "1103536": 142, "y3zn11": 142, "28233": 142, "mncl2": 142, "ptp2": 142, "24155": 142, "zrh2": 142, "921": 142, "rh2y": 142, "632413": 142, "cocl2": 142, "22909": 142, "569249": 142, "auta3": 142, "999544": 142, "ag2i": 142, "11454": 142, "hf2pd": 142, "28116": 142, "ticl2": 142, "2263": 142, "ir2sc": 142, "2807": 142, "scp": 142, "33112": 142, "sc2h5": 142, "14652": 142, "cs2p3": 142, "510691": 142, "hf5sn4": 142, "755328": 142, "sn2zr": 142, "1827": [142, 147], "ga4sr": 142, "19880": 142, "fete2": 142, "1106169": 142, "ga3zr5": 142, "30722": 142, "hg3sc": 142, "778": 142, "fe2p": 142, "567207": 142, "in4sr": 142, "12561": 142, "taas2": 142, "zr5te4": 142, "10026": 142, "scte": 142, "1023938": 142, "1102392": 142, "fe3i": 142, "7449": 142, "cs2se3": 142, "30496": 142, "cdsr": 142, "1984": 142, "33046": 142, "27455": 142, "ycl3": 142, "571035": 142, "oscl4": 142, "1747": 142, "k2te": 142, "9948": 142, "v5te4": 142, "549": 142, "scsb": 142, "542449": 142, "sc5cl8": 142, "al3ta": 142, "20695": 142, "inzr3": 142, "1550": 142, "alp": 142, "8312": 142, "ta5as4": 142, "1077372": 142, "cuzr2": 142, "21294": 142, "iny2": 142, "1080022": 142, "cuzr": 142, "1002122": 142, "hfir": 142, "19879": 142, "pd3p": 142, "541885": 142, "in3te4": 142, "1245": 142, "sr2n": 142, "685022": 142, "pbte": 142, "9996": 142, "p2si": 142, "11440": 142, "ga2hf": 142, "na3p11": 142, "1104548": 142, "co6ta7": 142, "11192": 142, "tasi2": 142, "567330": 142, "31086": 142, "nap5": 142, "11661": 142, "846": [142, 147], "al3hf2": 142, "1175": 142, "srs3": 142, "755633": 142, "k5se3": 142, "863648": 142, "1079600": 142, "cs2s3": 142, "570287": 142, "ta5si3": 142, "9939": 142, "hf2ge": 142, "1592": 142, "ag2t": 142, "1077814": 142, "cs2": 142, "30850": 142, "pt3ta": 142, "1570": [142, 154], "fe2i": 142, "636614": 142, "pb2y": 142, "913": 142, "cdp2": 142, "1025159": 142, "rh3te4": 142, "571266": 142, "gacl3": 142, "13051": 142, "1294": 142, "co2i": 142, "1104388": 142, "pd2y3": 142, "487": 142, "mnp4": 142, "1104047": 142, "al4tc": 142, "1103359": 142, "cote2": 142, "1104956": 142, "fe7ta6": 142, "976273": 142, "hf3ge2": 142, "570687": 142, "14587": 142, "znp4": 142, "hgsr": 142, "570553": 142, "fep4": 142, "1727": 142, "1718": 142, "fe2zr": 142, "18254": 142, "nb7p4": 142, "21911": 142, "ru2p": 142, "864889": 142, "zn3zr": 142, "2557": 142, "alzr2": 142, "1025448": 142, "pty": 142, "1017545": 142, "rhzr": 142, "1023942": 142, "639874": 142, "alta2": 142, "568328": 142, "2082": 142, "ir2p": 142, "8046": 142, "ta4n5": 142, "862679": 142, "tazn2": 142, "979289": 142, "taw3": 142, "15670": 142, "y5s7": 142, "11329": 142, "wp2": 142, "2451": 142, "al3i": 142, "2783": 142, "ta2si": 142, "9945": 142, "10009": 142, "569008": 142, "21893": 142, "mnte2": 142, "30717": 142, "hg2k": 142, "684675": 142, "v12p7": 142, "867356": 142, "ru3tc": 142, "11457": 142, "hfrh": 142, "1944": 142, "cop3": 142, "tip": 142, "574379": 142, "cshg2": 142, "1101258": 142, "10014": 142, "15557": 142, "cs2as3": 142, "1067974": 142, "zrcl": 142, "1080276": 142, "8200": 142, "agp2": 142, "1057286": 142, "27164": 142, "182": [142, 147, 151], "ga2sr": 142, "11324": 142, "13156": 142, "aghf": 142, "7260": 142, "p4s5": 142, "568992": 142, "irzr": 142, "1638": 142, "al2sr": 142, "505634": 142, "cs2te3": 142, "1102657": 142, "pty2": 142, "1014219": 142, "hfzn": 142, "11452": 142, "hfo": 142, "861610": 142, "pdtc3": 142, "903": 142, "cr2zr": 142, "1080771": 142, "nacl7": 142, "11675": 142, "277": [142, 147], "1080094": 142, "hg3sr": 142, "30357": 142, "ag2sr3": 142, "514": 142, "hfzn2": 142, "2691": 142, "cdse": 142, "2039": [142, 154], "mn2sc": 142, "20672": 142, "hf3p2": 142, "697179": 142, "2285": 142, "569979": 142, "ru2zr": 142, "11697": 142, "tasb2": 142, "1105302": 142, "srp2": 142, "1025223": 142, "al3hf4": 142, "8886": 142, "tc2as3": 142, "862983": 142, "incl3": 142, "23193": 142, "kcl": 142, "14285": 142, "cop2": 142, "30668": 142, "867347": 142, "al3tc": 142, "2674": 142, "pt2y": 142, "862259": 142, "alsc3": 142, "612": [142, 157], "569170": 142, "1093992": 142, "616512": 142, "co2y3": 142, "7526": 142, "snp": 142, "2612": 142, "gete": 142, "644": [142, 156], "k5te3": 142, "813": 142, "al2sc": 142, "13683": 142, "hfge2": 142, "1106121": 142, "fe9se8": 142, "1958": 142, "srte": 142, "17728": 142, "ta3g": 142, "1007691": 142, "hfpt": 142, "1103885": 142, "fe7nb6": 142, "754434": 142, "hf3n4": 142, "929": 142, "co2zr": 142, "972228": 142, "zr3as2": 142, "1077791": 142, "sc2zr": 142, "505528": 142, "nb3p": 142, "8884": 142, "znte": 142, "12678": 142, "mn2ta": 142, "2420": 142, "wp": 142, "2798": 142, "psi": 142, "30581": 142, "cuhf2": 142, "22914": 142, "cucl": 142, "2784": 142, "na2t": 142, "8361": 142, "cste": 142, "695850": 142, "cdcl2": 142, "978531": 142, "pbsc3": 142, "30836": 142, "pd3ta": [142, 151], "2105": 142, "hf3si2": 142, "20196": 142, "nbte4": 142, "17381": 142, "y3ge4": 142, "rute2": 142, "30858": 142, "pt3zr": 142, "1482": 142, "al3zr2": 142, "2361": 142, "al3hf5": 142, "1066136": 142, "pdy": 142, "318": 142, "ir2sr": 142, "20327": 142, "tip2": 142, "11687": 142, "vte2": 142, "769096": 142, "21273": 142, "fete": 142, "28424": 142, "k4p3": 142, "1014231": 142, "hf2zn": 142, "819": 142, "cr2hf": 142, "32811": 142, "11108": 142, "srp3": 142, "20351": 142, "inp": 142, "7564": 142, "nb3te4": 142, "892": 142, "ptsc": 142, "2142": 142, "oste2": 142, "7192": 142, "sc2sb": 142, "8882": 142, "8954": 142, "569037": 142, "y3h2": 142, "2430": 142, "zrge2": 142, "1102436": 142, "cu2i": 142, "29179": 142, "sncl2": 142, "8628": 142, "pt3te4": 142, "29422": 142, "hfcl4": 142, "1007656": 142, "hfpd3": 142, "820": 142, "hgse": 142, "1551": 142, "672389": 142, "568848": 142, "gacl2": 142, "754064": 142, "mnp2": 142, "1069": [142, 154], "hfsi2": 142, "1105569": 142, "fe17y2": 142, "570355": 142, "pbcl4": 142, "1019276": 142, "2363": 142, "hfmo2": 142, "1023926": 142, "510557": 142, "csn3": 142, "16756": 142, "ga2ta3": 142, "973053": 142, "sch3": 142, "18609": 142, "k2se5": 142, "20541": 142, "v2p": 142, "30871": 142, "snta3": 142, "11358": 142, "co3ta": 142, "1168": 142, "hfte5": 142, "zrp": 142, "8880": 142, "568208": 142, "1079910": 142, "tcsi": 142, "29266": 142, "css": 142, "567832": 142, "tite": 142, "30338": 142, "aly3": 142, "569833": 142, "gazr2": 142, "2221": 142, "agzr2": 142, "1067210": 142, "32829": 142, "cucl4": 142, "8732": 142, "ta2s": 142, "2072": 142, "kte": 142, "2322": 142, "al2i": 142, "11660": 142, "1007786": 142, "1009222": 142, "30527": 142, "tas3": 142, "2076": 142, "zrse2": 142, "1103842": 142, "2049": 142, "mo2zr": 142, "11345": 142, "15669": 142, "ti3te4": 142, "1558": 142, "pd2sr": 142, "9954": 142, "hfa": 142, "867352": 142, "rh3tc": 142, "12772": 142, "alhf2": 142, "30828": 142, "pbsr2": 142, "15622": 142, "hfse3": 142, "569867": 142, "1018722": 142, "9938": 142, "hf2si": 142, "1080608": 142, "in3sr": 142, "9953": 142, "hfp": 142, "684609": 142, "clh": 142, "1077365": 142, "yte2": 142, "30867": 142, "rusc": 142, "567504": 142, "crcl3": 142, "978498": 142, "945077": 142, "yte3": 142, "1534": 142, "2399": 142, "hgy": 142, "569426": 142, "srzn2": 142, "1103177": 142, "1120788": 142, "1102018": 142, "hfp2": 142, "1063670": 142, "2176": 142, "776470": 142, "22817": 142, "tate4": 142, "7441": 142, "kp": 142, "23289": 142, "23176": 142, "cl5sb": 142, "2337": 142, "co2hf": 142, "862871": 142, "pbcl2": 142, "7440": 142, "nap": 142, "1008626": 142, "7670": 142, "k2se3": 142, "249": 142, "alhf": 142, "867281": 142, "pttc3": 142, "12884": 142, "hf5te4": 142, "567920": 142, "ti4p3": 142, "11385": 142, "fe5i": 142, "1438": 142, "ir3zr": 142, "13155": 142, "aghf2": 142, "alsc": 142, "28246": 142, "agte3": 142, "684969": 142, "193": [142, 147, 157], "11541": 142, "oszr": 142, "569152": 142, "22853": 142, "mocl3": 142, "23290": 142, "ptcl2": 142, "27628": 142, "cl2te3": 142, "570430": 142, "co2ta": 142, "571143": 142, "567724": 142, "715": 142, "ir2zr": 142, "632403": 142, "1435": 142, "27413": 142, "mo8p5": 142, "2576": 142, "sr2ge": 142, "30681": 142, "ga6i": 142, "1104898": 142, "ru2y5": 142, "19713": 142, "28026": 142, "tcp4": 142, "972876": 142, "cdsc3": 142, "31473": 142, "hg7k2": 142, "2147": 142, "srge": 142, "22642": 142, "zr2se": 142, "569544": 142, "zrte": 142, "1018166": 142, "altc2": 142, "23714": 142, "srh2": 142, "1102919": 142, "1094254": 142, "snzr5": 142, "1411": [142, 154], "505363": 142, "pd7p3": 142, "11690": 142, "tc2p3": 142, "1169": 142, "cusc": 142, "1936": 142, "taa": 142, "1021498": 142, "pdp3": 142, "1459": 142, "tan": 142, "999133": 142, "pdta": 142, "569175": 142, "zrcl4": 142, "11387": 142, "ga3hf": 142, "1006132": 142, "hf3pb": 142, "571664": 142, "rhzr2": 142, "542339": 142, "csin3": 142, "10004": 142, "mo3p": 142, "13010": 142, "sn2y": 142, "10212": 142, "scge2": 142, "1020": 142, "rh3ta": 142, "1080493": 142, "au2y3": 142, "9923": 142, "vp2": 142, "358": 142, "20826": 142, "cute": 142, "11220": 142, "alsc2": 142, "1079945": 142, "2568": 142, "601823": 142, "tate2": 142, "1079574": 142, "8462": 142, "al2hf3": 142, "1278": 142, "zr2si": 142, "2212": 142, "cosc": 142, "1095650": 142, "csna2": 142, "865430": 142, "yte": 142, "15624": 142, "sr2sb": 142, "20291": 142, "pb3y": 142, "1028586": 142, "24723": 142, "tah2": 142, "1105844": 142, "hgsr3": 142, "11566": 142, "sczn": 142, "2319": 142, "osp2": 142, "7302": 142, "crp4": 142, "569391": 142, "zrcl3": 142, "714": 142, "sn4sr": 142, "1018156": 142, "cdhf2": 142, "632326": 142, "21182": 142, "1120780": 142, "aucl": 142, "893": [142, 147], "zrsi": 142, "27770": 142, "rhcl3": 142, "1079260": 142, "865166": 142, "hfpd5": 142, "2516": [142, 154], "yzn": 142, "1079172": 142, "11416": 142, "ga3ta": 142, "11263": 142, "auzr3": 142, "865598": 142, "ga3i": 142, "1341": [142, 154], "rh3te2": 142, "24286": 142, "zrp2": 142, "1018103": 142, "au2zr": 142, "865733": 142, "cotc3": 142, "214": 142, "ruzr": 142, "985831": 142, "hfse2": 142, "11571": 142, "sn3y": 142, "30999": 142, "cucl2": 142, "1078443": 142, "6913": 142, "1028": 142, "v3te4": 142, "1018153": 142, "au2hf": 142, "10564": 142, "srn2": 142, "2027": 142, "cohf": 142, "11472": 142, "1103212": 142, "rh2ta": 142, "9122": 142, "cap3": 142, "28117": 142, "vcl3": 142, "1009641": 142, "994": 142, "yp": 142, "20027": 142, "fep2": 142, "1087497": 142, "v5se4": 142, "542484": 142, "cd3sr5": 142, "672256": 142, "ga3y5": 142, "2597": 142, "27647": 142, "aucl3": 142, "30683": 142, "ga2zr": 142, "13365": 142, "635": [142, 157], "rh3sc": 142, "1104327": 142, "cr5se8": 142, "1062620": 142, "irsr2": 142, "17695": 142, "sc5sn3": 142, "569671": 142, "zrsb": 142, "861910": 142, "hgsc3": 142, "30884": 142, "yzn3": 142, "1826": 142, "ta3s2": 142, "1104074": 142, "pt2sr3": 142, "12657": 142, "al2hf": 142, "24237": 142, "sch2": 142, "541": 142, "ta3sb": 142, "1079681": 142, "au3zr": 142, "570777": 142, "srsi": 142, "567612": 142, "os2sc": 142, "1011709": 142, "27488": 142, "ta3n5": 142, "13053": 142, "1017540": 142, "cdzr": 142, "1618": 142, "pd6p": 142, "567846": 142, "ta3p": 142, "684560": 142, "mocl4": 142, "11420": 142, "gai": 142, "30849": 142, "pt2ta": 142, "1077297": 142, "irzr2": 142, "510209": 142, "pb3sc5": 142, "15698": 142, "sr5as3": 142, "1080254": 142, "7926": 142, "976128": 142, "hf5sc": 142, "1101860": 142, "sctc2": 142, "567907": 142, "568320": 142, "y4sb3": 142, "2121": 142, "570670": 142, "os2i": 142, "1072113": 142, "12636": 142, "rup": 142, "30523": 142, "ta3a": 142, "8053": 142, "coi": 142, "29973": 142, "srn": 142, "569410": 142, "cl5p": 142, "866083": 142, "zr3n2": 142, "2614": 142, "al3hf": 142, "1014": 142, "30886": 142, "yzn12": 142, "23287": 142, "1017987": 142, "tc3n": 142, "1080443": 142, "cui": 142, "16724": 142, "al3zr5": 142, "862770": 142, "irtc3": 142, "1065309": 142, "al3zr": 142, "28879": 142, "ca5p8": 142, "1095124": 142, "23228": 142, "505759": 142, "zr5sb3": 142, "672222": 142, "ta2a": 142, "13871": 142, "pt5p2": 142, "1079467": 142, "au3i": 142, "1018105": 142, "znzr2": 142, "22871": 142, "zrsi2": 142, "1018128": 142, "ag2sc": 142, "11572": 142, "tatc": 142, "12383": 142, "sc2te3": 142, "542634": 142, "ta2te3": 142, "7390": 142, "srge2": 142, "543001": 142, "sn4zr5": 142, "2732": 142, "rh2p": 142, "30876": 142, "2772": [142, 147], "al2zr": 142, "571642": 142, "cacl2": 142, "30835": 142, "pd2ta": 142, "434": 142, "au2sr": 142, "11028": 142, "hg11k3": 142, "685146": 142, "cdte": 142, "569624": 142, "18192": 142, "sn5sr3": 142, "32780": 142, "10636": 142, "srsb2": 142, "23240": 142, "1105139": 142, "zr3sb": 142, "12724": 142, "srzn": 142, "570870": 142, "hf5sb9": 142, "938": 142, "2797": 142, "cu5i": 142, "1095493": 142, "cdse2": 142, "1103235": 142, "cute2": 142, "10844": 142, "1101145": 142, "rh15te16": 142, "1064981": 142, "1084805": 142, "yh3": 142, "867345": 142, "ir3tc": 142, "23209": 142, "srcl2": 142, "2758": 142, "srse": 142, "17706": 142, "zr5ge3": 142, "1068446": 142, "au4sc": 142, "1006118": 142, "p2s7": 142, "17045": 142, "hf3rh5": 142, "568865": 142, "569436": 142, "mocl5": 142, "1100795": 142, "979273": 142, "pd3te": 142, "20320": 142, "31348": 142, "insc2": 142, "1065995": 142, "ptzr": 142, "17813": 142, "au4zr": 142, "20800": 142, "in2zr": 142, "20074": 142, "in2sr": 142, "504825": 142, "clse": 142, "510522": 142, "sn3zr5": 142, "568077": 142, "fe2ta": 142, "30842": 142, "pd3zr": 142, "628": [142, 157], "cozr2": 142, "2662": 142, "mnp": 142, "1008601": 142, "ag2zr": 142, "395": 142, "2827": 142, "co5i": 142, "1080121": 142, "kse3": 142, "21065": 142, "18350": 142, "v3p": 142, "510521": 142, "7834": 142, "2371": [142, 147, 149], "ga2te5": 142, "27410": 142, "sn4p3": 142, "9481": 142, "tcs2": 142, "1105778": 142, "sc7p3": 142, "1079914": 142, "hfsb": 142, "29646": 142, "hfas2": 142, "9897": 142, "as2te3": 142, "505002": 142, "sc5as3": 142, "co2sc": 142, "865527": 142, "17013": 142, "ta5ge3": 142, "11233": 142, "alzr": 142, "pt11zr9": 142, "2348": 142, "auzr2": 142, "1017543": 142, "27513": 142, "sc7cl10": 142, "567822": 142, "in11sr3": 142, "11313": 142, "cd3zr": 142, "1683": 142, "zrse3": 142, "1017541": 142, "1304": 142, "zr5si4": 142, "8601": 142, "mo3te4": 142, "1079832": 142, "1244": 142, "30952": 142, "966800": 142, "1106140": 142, "co17y2": 142, "30494": 142, "cd3sc": 142, "571636": 142, "incl": 142, "21104": 142, "hf5sn3": 142, "1079094": 142, "sb2te3": 142, "11328": 142, "1094272": 142, "snzr2": 142, "1066254": 142, "755988": 142, "406": 142, "1007758": 142, "cdhf": 142, "28128": 142, "cl2": 142, "2588": 142, "co3i": 142, "567484": 142, "1401": 142, "zn2zr": 142, "690": 142, "982376": 142, "1080073": 142, "1328": [142, 154], "rh2sr": 142, "1105598": 142, "coy3": 142, "570276": 142, "znzr": 142, "11453": 142, "1018148": 142, "au2sc": 142, "219": 142, "mop": 142, "1078708": 142, "tccl3": 142, "30619": 142, "cozr3": 142, "2210": 142, "1105651": 142, "ca5pt3": 142, "17216": 142, "hf5si4": 142, "23162": 142, "zrcl2": 142, "1120739": 142, "13427": 142, "hg2sr3": 142, "1129": [142, 153], "irsc": 142, "1120767": 142, "nacl": 142, "862779": 142, "ostc3": 142, "7498": 142, "ti5te4": 142, "540": 142, "569322": 142, "1077978": 142, "28400": 142, "rup3": 142, "1708": 142, "2131": 142, "srn6": 142, "639805": 142, "15964": 142, "hf3sb": 142, "16723": 142, "al2y3": 142, "568483": 142, "nbcl5": 142, "10638": 142, "1690": [142, 147, 149], "13503": 142, "sczn2": 142, "1080439": 142, "1095497": 142, "ir3i": 142, "680570": 142, "ti5p3": 142, "2126": 142, "hfir3": 142, "30106": 142, "ascl5": 142, "1628": 142, "rhte": 142, "1186": 142, "zrs2": 142, "972088": 142, "znzr3": 142, "570858": 142, "9268": 142, "kse": 142, "1662": 142, "31379": 142, "zr2sb": 142, "18026": 142, "srzn11": 142, "570362": 142, "in3sr5": 142, "11567": 142, "sczn12": 142, "13853": 142, "irp3": 142, "1105911": 142, "15339": 142, "sr3as4": 142, "22904": 142, "1027": 142, "hfrh3": 142, "567181": 142, "2180": [142, 153], "hfsb2": 142, "23291": 142, "1853": 142, "sr3p14": 142, "29184": 142, "cr2p": 142, "1102743": 142, "zns2": 142, "567525": 142, "32697": 142, "y10h21": 142, "973904": 142, "1554": 142, "29866": 142, "sncl4": 142, "18388": 142, "ga7te10": 142, "17332": 142, "ga3sc5": 142, "31502": 142, "cd7sc": 142, "9969": 142, "scsi": 142, "1887": [142, 145], "mop2": 142, "571537": 142, "573697": 142, "cscl": 142, "2540": 142, "tcv": 142, "1094255": 142, "570774": 142, "al4zr5": 142, "21093": 142, "pbsr": 142, "568186": 142, "ru2i": 142, "1100773": 142, "cdy3": 142, "571377": 142, "570562": 142, "17974": 142, "28056": 142, "rh3p2": 142, "30355": 142, "agsr": 142, "1023935": 142, "1005": 142, "fep": 142, "1345": 142, "cap": 142, "1018102": 142, "pd2zr": 142, "2403": 142, "pt3y": 142, "1080459": 142, "866108": 142, "hfzn3": 142, "1102895": 142, "517": 142, "1105127": 142, "7822": 142, "sc5si3": 142, "999143": 142, "pdsr": 142, "862260": 142, "2730": 142, "21048": 142, "crp": 142, "1068510": 142, "in2te3": 142, "1072382": 142, "yzn2": 142, "9854": 142, "yp5": 142, "2808": 142, "27731": 142, "hfh2": 142, "7343": 142, "pty3": 142, "2598": 142, "ta5sb4": 142, "22865": 142, "1007755": 142, "auhf": 142, "13450": 142, "1078815": 142, "nbse4": 142, "2447": 142, "p4se5": 142, "1080797": 142, "cshg": 142, "675": 142, "w2zr": 142, "570463": 142, "30356": 142, "ag2sr": 142, "7851": 142, "1011696": 142, "669917": 142, "1025402": 142, "cusr": 142, "867212": 142, "os3tc": 142, "19717": 142, "865511": 142, "541788": 142, "p2s5": 142, "1103826": 142, "fe6ta7": 142, "571555": 142, "1030319": 142, "1018154": 142, "hf2hg": 142, "1967": 142, "333": 142, "1159": 142, "fezr2": 142, "1925": 142, "582549": 142, "in2te5": 142, "27162": 142, "cosc3": 142, "23214": 142, "1095669": 142, "hftc2": 142, "22337": 142, "ga3hf5": 142, "10378": 142, "cs3sb": 142, "22881": 142, "23186": 142, "sc7cl12": 142, "29174": 142, "cl2si": 142, "1105040": 142, "ta6zn7": 142, "1007730": 142, "2637": 142, "yse": 142, "9972": 142, "ysi": 142, "1211": 142, "cdsc": 142, "569272": 142, "568394": 142, "22318": 142, "1780": 142, "rhsc": 142, "24082": 142, "11411": 142, "gasc": 142, "8251": 142, "vp4": 142, "568646": 142, "ta3si": 142, "1042": 142, "hfsi": 142, "9254": 142, "al2te5": 142, "1077116": 142, "nbp2": 142, "9895": 142, "1799": 142, "1080258": 142, "1469": 142, "p4s3": 142, "567752": 142, "cs2in3": 142, "16226": 142, "10054": 142, "zra": 142, "12110": 142, "ruta": 142, "2661": 142, "22270": 142, "cop": 142, "22877": 142, "vcl2": 142, "583740": 142, "zr7p4": 142, "229": 142, "rh3zr": 142, "30684": 142, "ga2zr3": 142, "20131": 142, "in3i": 142, "613": [142, 157], "pd3te2": 142, "504502": 142, "13496": 142, "1682": 142, "1400": 142, "hfw2": 142, "1079810": 142, "hfsn2": 142, "27258": 142, "au2p3": 142, "30574": 142, "csga7": 142, "1016106": 142, "hfzn16": 142, "669913": 142, "pb3sr2": 142, "542495": 142, "1079438": 142, "ta2n": 142, "1102559": 142, "558552": 142, "ta6": 142, "zrte5": 142, "23269": 142, "wcl3": 142, "504812": 142, "hf3p": 142, "23759": 142, "677": 142, "cd2sr": 142, "620471": 142, "cs3te22": 142, "1106367": 142, "hgs4": 142, "30685": 142, "ga3zr": 142, "1104222": 142, "fe12i": 142, "7541": 142, "snp3": 142, "574": 142, "cota2": 142, "505626": 142, "cr12p7": 142, "30686": 142, "ga3zr2": 142, "23706": 142, "1103512": 142, "1105835": 142, "in5y3": 142, "569775": 142, "481": 142, "pt3sc": 142, "32994": 142, "hf4n3": 142, "542812": 142, "1096994": 142, "972895": 142, "au3sc": 142, "2857": 142, "13446": 142, "31214": 142, "ti3p": 142, "973100": 142, "12779": 142, "21162": 142, "pb3sr": 142, "681992": 142, "pb3zr5": 142, "21328": 142, "hfsn": 142, "2349": 142, "cd3y": 142, "11565": 142, "rh5y": 142, "1105666": 142, "rh2se3": 142, "24650": 142, "yh2": 142, "27821": 142, "ag3p11": 142, "540922": 142, "crte3": 142, "1080001": 142, "1279": 142, "1848": 142, "1106162": 142, "983459": 142, "hfzr": 142, "1018055": 142, "1914": 142, "ga2i": 142, "621581": 142, "rh4p3": 142, "22872": 142, "cl3sb": 142, "867816": 142, "ru3ta": 142, "27630": 142, "867841": 142, "gatc": 142, "22862": 142, "9970": 142, "scge": 142, "932": 142, "ga3sc": 142, "979911": 142, "auy2": 142, "1413": 142, "rup2": 142, "18622": 142, "hf7p4": 142, "1608": 142, "hg3zr": 142, "569522": 142, "571518": 142, "wcl6": 142, "568115": 142, "zr5si3": 142, "23230": 142, "cl3p": 142, "1025576": 142, "28029": 142, "tcp3": 142, "574338": 142, "csga3": 142, "8262": 142, "k2p3": 142, "865176": 142, "cu3hf": 142, "2044": 142, "540884": 142, "ycl": 142, "1079296": 142, "au3hf": 142, "861630": 142, "rutc3": 142, "15953": 142, "rhp2": 142, "11412": 142, "ga2sc": 142, "1009": 142, "srsi6": 142, "571547": 142, "1849": 142, "mn2p": 142, "1094248": 142, "696114": 142, "1080271": 142, "865373": 142, "570451": 142, "nb2te3": 142, "22050": 142, "hf2in5": 142, "11025": 142, "1104669": 142, "ca5pd2": 142, "1018113": 142, "au2i": 142, "1079776": 142, "co7hf2": 142, "2698": 142, "30603": 142, "cu5zr": 142, "1919": 142, "23309": 142, "sccl3": 142, "977390": 142, "ruta3": 142, "12593": 142, "ir3sc": 142, "608072": 142, "insr": 142, "23229": 142, "484": 142, "1793": 142, "zr3te": 142, "619071": 142, "571059": 142, "11441": 142, "ga3hf2": 142, "30086": 142, "cl4ge": 142, "27467": 142, "570880": 142, "rucl3": 142, "564": 142, "pdte": 142, "22466": 142, "11456": 142, "655461": 142, "29014": 142, "p2s3": 142, "1349": 142, "pt2sr": 142, "29772": 142, "yge3": 142, "979423": 142, "11322": 142, "27533": 142, "pd15p2": 142, "29487": 142, "567750": 142, "ru2sc": 142, "17118": 142, "y3ge5": 142, "11231": 142, "1601": 142, "1080522": 142, "1067587": 142, "28860": 142, "p2se5": 142, "17615": 142, "9921": 142, "zrs3": 142, "2410": 142, "ag5sr": 142, "864647": 142, "hf2n": 142, "12112": 142, "980949": 142, "wcl4": 142, "2726": 142, "cu5sr": 142, "540703": 142, "17593": 142, "32654": 142, "2089": [142, 154], "zrte3": 142, "30726": 142, "hg3y": 142, "1950": 142, "srs2": 142, "17757": 142, "sr5ge3": 142, "1471": 142, "alzr3": 142, "1019322": 142, "1070103": 142, "hf2pt3": 142, "1018107": 142, "zrte2": 142, "669311": 142, "in7te10": 142, "7558": 142, "tage2": 142, "861626": 142, "rhtc3": 142, "1989": 142, "1080552": 142, "1071777": 142, "541289": 142, "y2s3": 142, "9339": 142, "nbp": 142, "1018717": 142, "1739": 142, "hf5ge3": 142, "571424": 142, "11229": 142, "2677": [142, 151], "pd3sc": 142, "1698": 142, "snsr": 142, "17190": 142, "sc5ge3": 142, "399": 142, "ptte2": 142, "1002106": 142, "16718": 142, "al6tc": 142, "616204": 142, "ga3cl7": 142, "1072655": 142, "cu2zr": 142, "10000": 142, "hf2": 142, "1025573": 142, "2762": 142, "ir2i": 142, "22889": 142, "569857": 142, "29639": 142, "pd20te7": 142, "972889": 142, "1104010": 142, "cs2te5": 142, "28885": 142, "pse": 142, "12773": 142, "637232": 142, "571195": 142, "685155": 142, "755453": 142, "1049": [142, 154], "sra": 142, "1095495": 142, "568718": 142, "1016109": 142, "zn16zr": 142, "684798": 142, "541656": 142, "aucl2": 142, "18063": 142, "sn3sr": 142, "1105852": 142, "sc3as2": 142, "1061769": 142, "29465": 142, "tacl4": 142, "7289": 142, "k2te3": 142, "hf5ge4": 142, "28391": 142, "cl4si": 142, "978": 142, "snsr2": 142, "30092": 142, "ticl4": 142, "1023936": 142, "30421": 142, "au2sr3": 142, "32682": 142, "ir3te8": 142, "2626": 142, "rh5zr3": 142, "17751": 142, "y5ge3": 142, "504659": 142, "hf2p": 142, "865565": 142, "cssn3": 142, "672313": 142, "pb5sc6": 142, "30464": 142, "bi2pd5": 142, "1008488": 142, "bipd": 142, "568746": 142, "bi2pd": 142, "23206": 142, "2650": [142, 154], "p4s7": 142, "2649": 142, "1101121": 142, "ti20se19": 142, "684640": 142, "7931": 142, "srp": 142, "746": 142, "sr5si3": 142, "30666": 142, "ga2sc3": 142, "2750": 142, "cr2te3": 142, "582067": 142, "hf3a": 142, "1070": 142, "28353": 142, "nate": 142, "27780": 142, "tccl4": 142, "12175": 142, "pt4y5": 142, "1192532": 142, "h2si": 142, "1215543": 142, "zr3s4": 142, "1187993": 142, "1191083": 142, "1190654": 142, "1187696": 142, "cr3v": 142, "1209024": 142, "sc6sn5": 142, "1186930": 142, "pd3sb": 142, "1215375": 142, "zr5s8": 142, "1215257": 142, "1215488": 142, "pd3zn5": 142, "1223755": 142, "inpt2": 142, "1189572": 142, "1206268": 142, "in2sc": 142, "1217113": 142, "ir2ti3": 142, "1226229": 142, "crir": 142, "1220678": 142, "nb2pd": 142, "1225701": 142, "1221639": 142, "1189044": 142, "ti3g": 142, "1215509": 142, "1228491": 142, "1226207": 142, "crpt4": 142, "1217811": 142, "taw": 142, "1217363": 142, "rutc": 142, "1216480": 142, "1217804": 142, "al4ta11": 142, "1187241": 142, "1187811": 142, "ag3i": 142, "1186760": 142, "1190774": 142, "ga5ta6": 142, "1183648": 142, "cd3pd": 142, "1187244": 142, "1183654": 142, "cd3pt": 142, "1215735": 142, "fe3zn10": 142, "1186018": 142, "1200062": 142, "ga16rh3": 142, "1188977": 142, "ga3rh": 142, "1229015": 142, "agpt": 142, "1192361": 142, "co2zn11": 142, "1216290": 142, "1188697": 142, "ir3zr5": 142, "1225731": 142, "cu3s2": 142, "23163": 142, "bi2c": 142, "1214872": 142, "al8v5": 142, "1207392": 142, "bi3zr5": 142, "1187952": 142, "1219457": 142, "assb": 142, "1183209": 142, "1196514": 142, "ks3": 142, "1184265": 142, "garh3": 142, "1219339": 142, "rh20si13": 142, "1219940": 142, "pd4w": 142, "1226726": 142, "1206486": 142, "in5sr": 142, "1184676": 142, "hf3sn": 142, "1217869": 142, "pb19ti24": 142, "1215598": 142, "zr2se3": 142, "1219908": 142, "pdpt": 142, "1207421": 142, "zn2zr3": 142, "1184558": 142, "1215783": 142, "sn7zr10": 142, "1199503": 142, "1209003": 142, "ru3sc5": 142, "1095302": 142, "bise2": 142, "1224796": 142, "1179336": 142, "1220318": 142, "nbh": 142, "1226716": 142, "1205372": 142, "1189573": 142, "hf5ir3": 142, "1205322": 142, "1190915": 142, "1214857": 142, "aucl4": 142, "1207193": 142, "1217163": 142, "ti5s8": 142, "1182885": 142, "alcu4": 142, "1224444": 142, "hf2te3": 142, "1221495": 142, "1229101": 142, "1215779": 142, "pd3zn10": 142, "1185148": 142, "kcl3": 142, "1191009": 142, "1188040": 142, "cu3zr": 142, "1195257": 142, "h3": 142, "27800": 142, "k4ge23": 142, "1187946": 142, "1217422": 142, "rhtc": 142, "1147712": 142, "1213762": 142, "co3p": 142, "1184364": 142, "fe3rh": 142, "1215724": 142, "1184036": 142, "ag3ga": 142, "1187881": 142, "pby3": 142, "1184632": 142, "hf3hg": 142, "1224475": 142, "hfpt4": 142, "1206431": 142, "au3in2": 142, "1224388": 142, "hf3n2": 142, "1183501": 142, "ca3cd": 142, "1219395": 142, "1188605": 142, "v5p3": 142, "1215401": 142, "cu2zn": 142, "1217326": 142, "1221429": 142, "mopd3": [142, 151], "1183995": 142, "1184794": 142, "irrh3": 142, "1228752": 142, "al4cu15": 142, "1173070": 142, "1216347": 142, "1206573": 142, "bi2k3": 142, "1220657": 142, "nb3s5": 142, "1215293": 142, "mn3zr": 142, "1227319": 142, "bi3sb": 142, "1210627": 142, "gamn3": 142, "1183223": 142, "alau3": 142, "1187702": 142, "vw3": 142, "1221484": 142, "mo2rh": 142, "1184254": 142, "gapd3": 142, "1183643": 142, "1186977": 142, "1216464": 142, "v4n3": 142, "1189340": 142, "1188102": 142, "22924": 142, "bina": 142, "1219920": 142, "aupd": 142, "1184791": 142, "inrh3": 142, "1206743": 142, "1187512": 142, "au3ti": 142, "1224108": 142, "hgpb4": 142, "1185042": 142, "hg3k": 142, "1207380": 142, "inzr": 142, "1178763": 142, "1188318": 142, "h8si": 142, "29619": 142, "bisr2": 142, "1193856": 142, "zr21s8": 142, "1206874": 142, "1213747": 142, "cr3a": 142, "1184650": 142, "gahf3": 142, "1188029": 142, "cdzr3": 142, "1188413": 142, "rhzr3": 142, "1220635": 142, "nb3pd": 142, "1203253": 142, "ns7": 142, "1188655": 142, "30463": 142, "bipd3": 142, "1217515": 142, "pb3ti13": 142, "1217111": 142, "al11ti5": 142, "1184119": 142, "cupd3": [142, 151], "1188869": 142, "nb2n3": 142, "1184658": 142, "1189329": 142, "1217255": 142, "ti13sb3": 142, "1229100": 142, "1186013": 142, "1181926": 142, "1186060": 142, "mnos3": 142, "1191262": 142, "ga9ir2": 142, "1217409": 142, "irtc": 142, "1186067": 142, "na3pd": 142, "1217915": 142, "1224383": 142, "1187474": 142, "1218710": 142, "sr2si3": 142, "1215634": 142, "zr2te3": 142, "1184548": 142, "1186175": 142, "napt": 142, "1214894": 142, "al11cr4": 142, "1217971": 142, "1184018": 142, "1189870": 142, "ca5ga3": 142, "1219748": 142, "1223714": 142, "1216505": 142, "ga7v6": 142, "1227355": 142, "aubi3": 142, "1183647": 142, "1207855": 142, "v5te8": 142, "1220327": 142, "monb": 142, "1189099": 142, "1225796": 142, "cu4se3": 142, "1207436": 142, "pd11zr9": 142, "1186964": 142, "bisc3": 142, "1215400": 142, "zr3se4": 142, "1188042": 142, "1220645": 142, "1205786": 142, "ru2y3": 142, "1221436": 142, "mocl6": 142, "1194350": 142, "as4se3": 142, "581990": 142, "bi3rh": 142, "1229012": 142, "agpd": 142, "1194653": 142, "nap15": 142, "1224485": 142, "hf2se3": 142, "1191644": 142, "1197287": 142, "1184009": 142, "co3ga": 142, "1185667": 142, "na3g": 142, "1183040": 142, "zrse": 142, "1183222": 142, "1208406": 142, "ta2n3": 142, "1183005": 142, "1186225": 142, "nbos3": 142, "1185931": 142, "mn3pt": 142, "1226090": 142, "co5te6": 142, "1183162": 142, "1064554": 142, "birh": 142, "1188373": 142, "23159": 142, "bi3sr": 142, "1215575": 142, "au4zn": 142, "1213754": 142, "cr5te8": 142, "1184713": 142, "bihf3": 142, "22908": 142, "bicl3": 142, "1101783": 142, "bi2ir": 142, "1190908": 142, "1189634": 142, "ga3ir": 142, "1229090": 142, "1218055": 142, "ta7s12": 142, "1219396": 142, "1226371": 142, "1186100": 142, "ag3na": 142, "1220502": 142, "ir7nb5": 142, "541837": 142, "bi2se3": 142, "1225835": 142, "1193055": 142, "al14ca13": 142, "1217180": 142, "ti2te3": 142, "1223831": 142, "1214901": 142, "al12fe7": 142, "1206378": 142, "tczn7": 142, "1194073": 142, "al12ta17": 142, "1194040": 142, "al8mn5": 142, "1220634": 142, "nb2tc": 142, "1226736": 142, "1206659": 142, "1183471": 142, "ag3ca": 142, "1218044": 142, "ru2ta3": 142, "542239": 142, "cs5hg19": 142, "1214306": 142, "ca8in3": 142, "1226096": 142, "co7ge4": 142, "1179094": 142, "1224883": 142, "22856": 142, "bi2s3": 142, "1187248": 142, "os3ta": 142, "1224137": 142, "in5s8": 142, "27607": 142, "bi4se3": 142, "1190880": 142, "1183967": 142, "1178983": 142, "al3ta5": 142, "1077466": 142, "bi2ca": 142, "1215529": 142, "cu3zn": 142, "1189023": 142, "1188890": 142, "pt3y7": 142, "1183511": 142, "1188663": 142, "pb3pd5": 142, "1228952": 142, "alfe4": 142, "1187197": 142, "osta3": 142, "1188926": 142, "1183517": 142, "cacd3": 142, "1187258": 142, "1186781": 142, "1186447": 142, "570197": 142, "1225197": 142, "fe3ge2": 142, "1208223": 142, "1227290": 142, "bisb": 142, "1193259": 142, "al8fe5": 142, "1221517": 142, "1212463": 142, "au10hf7": 142, "1216825": 142, "inti": 142, "1186374": 142, "os3w": 142, "1219328": 142, "s7se": 142, "1183998": 142, "ga3tc": 142, "1215274": 142, "auzr": 142, "1217357": 142, "1220475": 142, "nb7s8": 142, "1208308": 142, "clte2": 142, "1183989": 142, "cspb3": 142, "1188512": 142, "ga7pt3": 142, "627397": 142, "in2s": 142, "1216501": 142, "1213756": 142, "cr7te8": 142, "1205390": 142, "1224391": 142, "1191680": 142, "1194773": 142, "1205301": 142, "y3h": 142, "1225993": 142, "1186115": 142, "au3na": 142, "1184681": 142, "hf3sc": 142, "1224870": 142, "ag13ga5": 142, "1217429": 142, "rh9te16": 142, "1215579": 142, "pd4zn": 142, "1199529": 142, "hf2a": 142, "1186967": 142, "1192425": 142, "1203324": 142, "zr3ge": 142, "1207450": 142, "fe4zn9": 142, "1178742": 142, "al3y5": 142, "570113": 142, "au2bi": 142, "1228813": 142, "alv3": 142, "1184633": 142, "1220401": 142, "nb4pd": 142, "1187152": 142, "cd3sr": 142, "1188030": 142, "1217961": 142, "auta": 142, "1188008": 142, "gazr3": 142, "1187243": 142, "1228956": 142, "1220003": 142, "pd4p": 142, "1184368": 142, "ferh3": 142, "1195198": 142, "1187531": 142, "1183691": 142, "1224809": 142, "1216463": 142, "v7s8": 142, "1187913": 142, "1187697": 142, "1225998": 142, "1187695": 142, "crv3": 142, "1184703": 142, "1223919": 142, "irrh": 142, "1186990": 142, "pb3sc": 142, "1190267": 142, "hf3as2": 142, "1206780": 142, "ti2sb": 142, "1228983": 142, "cszn8": 142, "1223977": 142, "in5pt11": 142, "1186127": 142, "1217048": 142, "ti8n5": 142, "1186158": 142, "1184021": 142, "1220023": 142, "osru": 142, "1216621": 142, "tiw": 142, "1186970": 142, "sc3sn": 142, "1216195": 142, "wn": 142, "1221442": 142, "mopd4": 142, "1226933": 142, "agcd3": 142, "1072744": 142, "bihf2": 142, "1220009": 142, "ga9sc11": 142, "1217895": 142, "mota": 142, "1187969": 142, "agzn3": 142, "1189774": 142, "ga2v3": 142, "1209828": 142, "1224413": 142, "pd4h3": 142, "1211471": 142, "kp15": 142, "1217081": 142, "al5ti3": 142, "1188662": 142, "1186016": 142, "1186928": 142, "1178808": 142, "1225186": 142, "1226445": 142, "co3ge2": 142, "1228524": 142, "al2te3": 142, "1218093": 142, "1178678": 142, "1221697": 142, "1186230": 142, "1215497": 142, "1228006": 142, "alv2": 142, "1225676": 142, "cu3te2": 142, "1187525": 142, "1188462": 142, "1180309": 142, "al3mn2": 142, "1225210": 142, "1215201": 142, "sczr": 142, "1224795": 142, "1216329": 142, "fe4v": 142, "1185935": 142, "mn3o": 142, "1183246": 142, "1220323": 142, "nbtc": 142, "1216655": 142, "moti": 142, "1185151": 142, "ksn3": 142, "1186437": 142, "pd3w": 142, "27838": 142, "bina3": 142, "1206884": 142, "kn2": 142, "1187257": 142, "tazn3": 142, "1225892": 142, "1206371": 142, "1183749": 142, "1215518": 142, "1229092": 142, "agau": 142, "1189696": 142, "ir4si5": 142, "1184046": 142, "1178745": 142, "pt3y5": 142, "1206819": 142, "irzn": 142, "1188000": 142, "1179443": 142, "1187196": 142, "irta3": 142, "1186050": 142, "1208221": 142, "ti5te8": 142, "1188336": 142, "ga4zr5": 142, "1225016": 142, "1216675": 142, "mo2ti": 142, "1206927": 142, "hf2se": 142, "1217168": 142, "pdti4": 142, "1183621": 142, "1184670": 142, "alhf3": 142, "1216325": 142, "gav": 142, "1224390": 142, "au9hf": 142, "1183728": 142, "co2s3": 142, "1217407": 142, "972941": 142, "bi3na": 142, "30893": 142, "bi3sr4": 142, "1216323": 142, "mov": 142, "1183641": 142, "1207004": 142, "hfpd2": 142, "1205321": 142, "1207024": 142, "zr3si2": 142, "1210567": 142, "mnzn13": 142, "1216231": 142, "vw": 142, "1192251": 142, "hf7as4": 142, "1201560": 142, "pbp7": 142, "1217210": 142, "1189265": 142, "nacl3": 142, "1228882": 142, "rh12as7": 142, "569581": 142, "bi2pt": 142, "1187206": 142, "ta3w": 142, "1228947": 142, "ag4al": 142, "1187591": 142, "ti3n2": 142, "1186047": 142, "1205986": 142, "co3n": 142, "1184704": 142, "1221793": 142, "1184209": 142, "1183224": 142, "1207893": 142, "v5se8": 142, "1216446": 142, "v9te8": 142, "542615": 142, "bi3se4": 142, "1220934": 142, "nb3os2": 142, "1220631": 142, "1225656": 142, "1078313": 142, "635413": 142, "bics3": 142, "1187077": 142, "1217166": 142, "1212970": 142, "fe7ge4": 142, "1183705": 142, "1181222": 142, "geh4": 142, "866006": 142, "bi3ca": 142, "1221525": 142, "1224298": 142, "in3pt4": 142, "1228001": 142, "alv": 142, "1191118": 142, "cs2sb": 142, "1183627": 142, "1181961": 142, "1186034": 142, "agna3": 142, "1226456": 142, "1187154": 142, "1186142": 142, "hg3na": 142, "1184278": 142, "1186152": 142, "1205379": 142, "1186109": 142, "1186450": 142, "pdpt3": 142, "1188800": 142, "sc3p": 142, "1206750": 142, "crpt": 142, "1187219": 142, "ptta3": 142, "977189": 142, "1147746": 142, "1187816": 142, "1201790": 142, "csp7": 142, "1191331": 142, "coti2": 142, "1217092": 142, "1227285": 142, "1208273": 142, "ti2se3": 142, "1228763": 142, "1183635": 142, "1186024": 142, "1186017": 142, "27902": 142, "bise": 142, "1216300": 142, "sn13zr20": 142, "1212609": 142, "1215437": 142, "1183306": 142, "alrh3": 142, "1216296": 142, "pd4v": 142, "1183214": 142, "ag3au": 142, "1207781": 142, "ruy3": 142, "1217189": 142, "mn7ti5": 142, "1223866": 142, "1183655": 142, "1186231": 142, "1183489": 142, "ca3sn": 142, "1185202": 142, "kpb3": 142, "1186218": 142, "23217": 142, "bi2rh": 142, "569535": 142, "bica2": 142, "1215997": 142, "1183137": 142, "568516": 142, "bik3": 142, "1225751": 142, "cu3pd2": 142, "23241": 142, "bii": 142, "1207393": 142, "ga5zr3": 142, "1189177": 142, "1186033": 142, "1218017": 142, "ta5s8": 142, "1188283": 142, "v8n": 142, "1183462": 142, "au3ca": 142, "1216486": 142, "rh5v3": 142, "1186190": 142, "nasn3": 142, "1191778": 142, "al9fe2": 142, "22864": 142, "1184721": 142, "co3hf": 142, "1206741": 142, "irsi2": 142, "1185041": 142, "1216394": 142, "crv": 142, "1226089": 142, "1228901": 142, "agal": 142, "1215363": 142, "pdzr4": 142, "1224840": 142, "1191483": 142, "nb7as4": 142, "1186176": 142, "1226170": 142, "crrh": 142, "1226718": 142, "31150": 142, "bi3sr2": 142, "1215462": 142, "1216498": 142, "v3s5": 142, "1216352": 142, "1228607": 142, "al3co": 142, "569727": 142, "1186031": 142, "1183216": 142, "1183227": 142, "1186973": 142, "ag3sc": 142, "1066078": 142, "bipt": 142, "1183675": 142, "1187844": 142, "pbzr3": 142, "1225654": 142, "1226728": 142, "1187974": 142, "1190583": 142, "1186137": 142, "1187541": 142, "1207013": 142, "rh3si2": 142, "1187204": 142, "1206704": 142, "mopd2": 142, "976419": 142, "1184001": 142, "1092293": 142, "29642": 142, "bi2zr": 142, "1187665": 142, "1183143": 142, "alpd3": 142, "866201": 142, "biti3": 142, "1191422": 142, "1217192": 142, "1191401": 142, "1180659": 142, "1226072": 142, "co4h": 142, "1185970": 142, "comn3": 142, "568069": 142, "biti2": 142, "1190274": 142, "co3sn2": 142, "1147714": 142, "1219006": 142, "pd5sn7": 142, "1225059": 142, "fecl4": 142, "1186229": 142, "1220681": 142, "1225811": 142, "1188018": 142, "570632": 142, "bisc": 142, "1206157": 142, "cu7si2": 142, "1192350": 142, "1186080": 142, "1189633": 142, "1179520": 142, "1223860": 142, "1185099": 142, "1207100": 142, "insc": 142, "974335": 142, "rh3ru": 142, "974341": 142, "1219503": 142, "rhru": 142, "1186926": 142, "rhru3": 142, "1219522": 142, "rh4ru": 142, "1224803": 142, "feru": 142, "1219922": 142, "niru": 142, "1220081": 142, "ni4ru": 142, "1226024": 142, "co4ru": 142, "1183807": 142, "co3ru": 142, "1225997": 142, "coru": 142, "1120769": 142, "ptru": 142, "1220057": 142, "nipd": 142, "973983": 142, "nipd3": 142, "1184026": 142, "cu3ru": [142, 151], "1184121": 142, "curu3": 142, "1186014": [142, 151], "mo3pd": [142, 151], "1221422": 142, "mopd": 142, "1221413": 142, "1183969": 142, "cu3sb": 142, "2002": 142, "1825": 142, "cu2sb": 142, "20900": 142, "30596": 142, "cu11sb3": 142, "1184011": 142, "agcu3": [142, 151], "1220052": 142, "1186117": 142, "nipt3": 142, "1183837": 142, "30373": 142, "aurb": 142, "569600": 142, "as4ge3": 142, "569785": 142, "pd3tl": 142, "1199938": 142, "1189230": 142, "ca3tl5": 142, "1186923": 142, "re3rh": 142, "974951": 142, "hgrb3": 142, "1238872": 142, "558071": 142, "1192187": 142, "natl": 142, "1185538": 142, "cs3a": 142, "1201836": 142, "ti5as3": 142, "1186974": 142, "sc3tl": 142, "1207757": 142, "tl5y3": 142, "1836": [142, 147], "tlse": 142, "621624": 142, "tl7sb2": 142, "1219818": 142, "ni7ge4": 142, "755435": 142, "autl2": 142, "1206636": 142, "srtl3": 142, "1193848": 142, "rezr2": 142, "977403": 142, "na3tl": 142, "203": 142, "nite": 142, "30708": 142, "hfni2": 142, "9827": 142, "hg2rb": 142, "catl3": 142, "1186010": 142, "au3mn": 142, "568745": 142, "rb2te": 142, "567490": 142, "hf5re24": 142, "1019": [142, 147, 149], "ni2i": 142, "1200894": 142, "zr3a": 142, "1193415": 142, "au5cd8": 142, "rbn3": 142, "486": [142, 147], "nip2": 142, "1191777": 142, "30877": 142, "srtl2": 142, "2081": 142, "tlte": 142, "770274": 142, "nip4": 142, "7285": 142, "hfni3": 142, "1186976": 142, "569095": 142, "birb3": 142, "1247784": 142, "998912": 142, "1071078": 142, "1221425": 142, "mopt3": 142, "8041": 142, "rb2": 142, "34202": 142, "bi2te3": 142, "1225009": 142, "fe3ni2": 142, "1188051": 142, "bizr3": 142, "21525": 142, "pbrb": 142, "1212407": 142, "bihf": 142, "1374": [142, 154], "re24zr5": 142, "1187822": 142, "tly3": 142, "1209": 142, "au5rb": 142, "1178810": 142, "1205360": 142, "cage3": 142, "982773": 142, "569516": 142, "hfni5": 142, "1184994": 142, "1188913": 142, "css3": 142, "1201758": 142, "kge": 142, "1178773": 142, "1189474": 142, "rh3y7": 142, "12826": 142, "sb8te3": 142, "1219734": 142, "ptrh": 142, "1189560": 142, "ysi3": 142, "1184772": 142, "2753": 142, "tl4s3": 142, "1079298": 142, "16319": 142, "rb3sb": 142, "7446": 142, "rb2s3": 142, "23174": 142, "recl3": 142, "1191413": 142, "rh3y": 142, "1198803": 142, "sc5ge4": 142, "7447": 142, "rb2se3": 142, "568531": 142, "1186058": 142, "27205": 142, "tlcl2": 142, "1182452": 142, "crga": 142, "2790": 142, "ni12p5": 142, "1221420": 142, "1184058": 142, "gani3": 142, "1228988": 142, "ag3al": 142, "1183206": 142, "ag3pd": [142, 151], "1183232": 142, "1208852": 142, "rhsn4": 142, "1184921": 142, "in3pb": 142, "1229032": 142, "agpt4": 142, "1229048": 142, "al2ni3": 142, "1183205": 142, "1225078": 142, "1188303": 142, "1190478": 142, "1228713": 142, "al4ni15": 142, "1212307": 142, "in7ni3": 142, "1183777": 142, "cosn3": 142, "27396": 142, "nicl2": 142, "1228815": 142, "alr": 142, "24721": 142, "rbh": 142, "1080677": 142, "tl2se3": 142, "33018": 142, "1071288": 142, "1210215": 142, "pbpd": 142, "1199016": 142, "ga5pt": 142, "1228158": 142, "al5s8": 142, "1192783": 142, "v4p3": 142, "1213091": 142, "in3ni7": 142, "1192175": 142, "23164": 142, "1203353": 142, "pb4sr5": 142, "1203422": 142, "cd11na2": 142, "984744": 142, "ca3tl": 142, "1197242": 142, "bi3sr5": 142, "1218179": 142, "cota": 142, "328": 142, "nizr2": 142, "974411": 142, "re3tc": 142, "1207419": 142, "bi5zr3": 142, "11473": 142, "hgtl": 142, "867357": 142, "nitc3": 142, "1217445": 142, "1220660": 142, "556": 142, "nizr": 142, "23167": 142, "tlcl": 142, "680731": 142, "tl2te3": 142, "11474": 142, "hg3tl": 142, "1220441": 142, "nb4rh": 142, "1224223": 142, "in11s16": 142, "1199056": 142, "rbge": 142, "1078331": 142, "1120781": 142, "1187948": 142, "29711": 142, "1219539": 142, "999318": 142, "bini": 142, "30482": 142, "30814": 142, "ni11zr9": 142, "16911": 142, "rb2s5": 142, "1200220": 142, "1215714": 142, "pdzn2": 142, "755169": 142, "tl6": 142, "1197202": 142, "cd3p2": 142, "1157": 142, "ni2ta": 142, "441": 142, "1205354": 142, "1209044": 142, "sc5sb3": 142, "28878": 142, "rbte6": 142, "861": 142, "hf2ni": 142, "1100786": 142, "ni11as8": 142, "21477": 142, "in4rb": 142, "1186988": 142, "ni3sc": 142, "971673": 142, "bis2": 142, "1222194": 142, "mn29h2": 142, "11558": 142, "re24sc5": 142, "1198712": 142, "ir3y5": 142, "581833": 142, "11521": 142, "nisc": 142, "2578": 142, "nite2": 142, "322": 142, "1188077": 142, "cu10zr7": 142, "12109": 142, "re2zr": 142, "1186234": 142, "1191079": 142, "ti7p4": 142, "1215582": 142, "ni4zn": 142, "2079": [142, 154], "rb2p3": 142, "23179": 142, "bi3ni": 142, "1216242": 142, "w2n3": 142, "1217172": 142, "1190697": 142, "568018": 142, "rbsb2": 142, "1102324": 142, "1199934": 142, "1219533": 142, "irr": 142, "867262": 142, "sctc3": 142, "1214889": 142, "al11re4": 142, "2301": 142, "nip3": 142, "23253": 142, "bi2rb": 142, "1188062": 142, "sczr3": 142, "1186074": 142, "1223503": 142, "9063": 142, "rbse": 142, "568380": 142, "tl5se3": 142, "1216519": 142, "1186985": 142, "1191538": 142, "11557": 142, "re2sc": 142, "1102384": 142, "974990": 142, "30933": 142, "bizr": 142, "977585": 142, "tlzr3": 142, "1216575": 142, "bitl4": 142, "1191613": 142, "ass2": 142, "1202791": 142, "1195735": 142, "27411": 142, "tlp5": 142, "1460": 142, "ga7rb": 142, "1203760": 142, "tc4si7": 142, "1205955": 142, "bi4k5": 142, "21167": 142, "ni2p": 142, "27165": 142, "hf8ni21": 142, "1184771": 142, "1205858": 142, "hf2ni7": 142, "1220390": 142, "au4nb": 142, "1207251": 142, "bi2rb3": 142, "23295": 142, "rbcl": 142, "8360": 142, "rbte": 142, "30571": 142, "27166": 142, "hf3ni7": 142, "1186902": 142, "2439": 142, "ni5zr": 142, "11327": 142, "rb2se": 142, "22619": 142, "1079544": 142, "ktl": 142, "1217894": 142, "reta": 142, "1190736": 142, "al3ca8": 142, "1078114": 142, "recl6": 142, "2095": 142, "rb2te3": 142, "2393": 142, "tl3y": 142, "891": 142, "ni3ta": 142, "1102441": 142, "569639": 142, "1105633": 142, "niy3": 142, "556516": 142, "tl2": 142, "1297": 142, "pd13tl9": 142, "1193208": 142, "hg6k": 142, "1197755": 142, "1186968": 142, "gasc3": 142, "1191285": 142, "1190841": 142, "cohf2": 142, "571030": 142, "1220322": 142, "nbre": 142, "1206058": 142, "tlcl3": 142, "1220481": 142, "alnb4": 142, "10264": 142, "31103": 142, "ni3te2": 142, "11814": 142, "au3rb2": 142, "571160": 142, "pttl2": 142, "31493": 142, "ga3rb": 142, "10487": 142, "rbsb": 142, "1187486": 142, "tl3sb": 142, "1219462": 142, "sbte2": 142, "1219509": 142, "osr": 142, "1188155": 142, "rep3": 142, "570491": 142, "570896": 142, "pdtl2": 142, "1217322": 142, "sete": 142, "1212680": 142, "ga5ir3": 142, "1220079": 142, "ni2h": 142, "1095177": 142, "30795": 142, "na2tl": 142, "571079": 142, "1102036": 142, "nip": 142, "1196393": 142, "y3sb": 142, "982873": 142, "23279": 142, "bi2k": 142, "1637": 142, "re2p": 142, "15556": 142, "rb2as3": 142, "570673": 142, "ni5sc": 142, "1220316": 142, "nbw": 142, "485": 142, "ni3zr": 142, "1205768": 142, "pt8zr": 142, "2152": 142, "ni5i": 142, "1105552": 142, "1223773": 142, "1190013": 142, "1207843": 142, "1188292": 142, "pb3y5": 142, "1218177": 142, "os2ta3": 142, "21657": 142, "1200912": 142, "zr3si": 142, "11575": 142, "tly": 142, "1192321": 142, "23299": 142, "1078955": 142, "1221487": 142, "1207828": 142, "wcl2": 142, "1205346": 142, "casi3": 142, "1186030": 142, "571505": 142, "in3rb2": 142, "10802": 142, "rba": 142, "607138": 142, "bi3sc5": 142, "30853": 142, "pt3tl2": 142, "1209498": 142, "rbp11": 142, "2296": 142, "ni3p": 142, "31472": 142, "hg19rb5": 142, "1867": 142, "nita2": 142, "1188061": 142, "1364": 142, "nii": 142, "1200988": 142, "cu10hf7": 142, "1216530": 142, "pbtl": 142, "31144": 142, "au7rb3": 142, "1198692": 142, "ti5ge4": 142, "1201": 142, "1187884": 142, "iny3": 142, "569196": 142, "ni3i": 142, "1217269": 142, "se2t": 142, "1216292": 142, "co3y4": 142, "1219535": 142, "31105": 142, "birb": 142, "1216708": 142, "ni2v3": 142, "1186189": 142, "natl3": 142, "1188129": 142, "23304": 142, "1188393": 142, "ga3r": 142, "1397": 142, "1188645": 142, "1218185": 142, "1205422": 142, "685048": 142, "1216851": 142, "v32n3": 142, "2861": 142, "catl": 142, "2250": 142, "ni2zr": 142, "1079938": 142, "574498": 142, "bi2cs3": 142, "1226086": 142, "cr5te6": 142, "1198091": 142, "hf7ni10": 142, "574339": 142, "ni7y2": 142, "1220085": 142, "ni3te4": 142, "1564": 142, "12857": 142, "mn3n2": 142, "1181940": 142, "7444": 142, "1232213": 142, "yse2": 142, "1182146": 142, "ca5pb3": 142, "28229": 142, "bi4te3": 142, "1225358": 142, "27844": 142, "1192984": 142, "al5re24": 142, "1018056": 142, "hfni": 142, "2434": 142, "srtl": 142, "569776": 142, "31002": 142, "rb2te5": 142, "1189791": 142, "y2te3": 142, "1188441": 142, "cu4ti": 142, "769108": 142, "979910": 142, "curh2v": 142, "984352": 142, "al2coo": 142, "1017632": 142, "ni3snn": 142, "1018062": 142, "ferh2sn": 142, "971754": 142, "rev2w": 142, "866284": 142, "al2iro": 142, "567636": 142, "fevsb": 142, "580234": 142, "fe3rhn": 142, "640159": 142, "gasn2v2": 142, "1018085": 142, "corh2sn": 142, "30595": 142, "curh2sn": 142, "10899": 142, "alni2v": 142, "867753": 142, "curh2sb": 142, "12550": 142, "alcupt2": 142, "30658": 142, "gani2v": 142, "5436": 142, "co2fesi": 142, "862694": 142, "al2irrh": 142, "11519": 142, "nirh2sn": 142, "16334": 142, "fe3pdn": 142, "21371": 142, "covsi": 142, "10010": 142, "alco2si2": 142, "867308": 142, "cuinpd2": 142, "862485": 142, "cugarh2": 142, "30592": 142, "cuni2sn": 142, "861953": 142, "alferh2": 142, "867306": 142, "alau2cu": 142, "1008556": 142, "algan2": 142, "867330": 142, "al2feni": 142, "961653": 142, "fewsi": 142, "579496": 142, "fe3ptn": 142, "4595": 142, "fe2vsi": 142, "865170": 142, "fegarh2": 142, "13463": 142, "fenipt2": 142, "862256": 142, "aucu2pd": 142, "505341": 142, "ni2w3n": 142, "865497": 142, "osrev2": 142, "21883": 142, "fe2gav": 142, "865506": 142, "os2vsi": 142, "1019378": 142, "al3gan4": 142, "866296": 142, "alcupd2": 142, "867319": 142, "al2coir": 142, "639659": 142, "cuinpt2": 142, "644280": 142, "cugapt2": 142, "4076": 142, "covsb": 142, "862288": 142, "alfe2w": 142, "867878": 142, "alfe2si": 142, "978532": 142, "curh2si": 142, "1018060": 142, "co2gani": 142, "29110": 142, "al2fe3si3": 142, "15868": 142, "co4snsb12": 142, "4955": 142, "alco2v": 142, "20586": 142, "co2vsi": 142, "29111": 142, "al2fe3si4": 142, "862791": 142, "10884": 142, "alco2f": 142, "862691": 142, "al2cof": 142, "5778": 142, "alfe2v": 142, "17856": 142, "al7cocu2": 142, "504625": 142, "ni2v3si": 142, "4689": 142, "al7cu2f": 142, "1025370": 142, "inpt5si": 142, "1025366": 142, "pt5sbsi": 142, "1025220": 142, "agpt5si": 142, "1025324": 142, "pt5snsi": 142, "644883": 142, "ag3cus2": 142, "3922": [142, 154], "ags2sb": 142, "18474": 142, "ag8gese6": 142, "34982": 142, "ag3aus2": 142, "9900": 142, "ag2ges3": 142, "4004": 142, "ag5s4sb": 142, "556916": 142, "aggas2": 142, "37920": 142, "agaus2": 142, "675325": 142, "ag9als6": 142, "1018020": 142, "agnise2": 142, "5014": 142, "agcu": 142, "4431": 142, "ag3ass3": 142, "9538": 142, "ag3ass4": 142, "4515": 142, "ag3s3sb": 142, "21459": 142, "agins2": 142, "33683": 142, "agsbse2": 142, "5342": 142, "5782": 142, "agals2": 142, "571103": 142, "agin5se8": 142, "20554": 142, "aginse2": 142, "35835": 142, "agau2s2": 142, "8911": 142, "985442": 142, "agass": 142, "16481": 142, "alauti": 142, "4182": 142, "agcrs2": 142, "16085": 142, "alcuse2": 142, "1025331": 142, "agin2se4": 142, "5725": 142, "35267": 142, "al5cus8": 142, "865531": 142, "almn2ti": 142, "36751": 142, "agin5s8": 142, "13740": 142, "agass2": 142, "10049": 142, "mnrua": 142, "3532": 142, "agcrse2": 142, "4979": 142, "alcus2": 142, "3861": 142, "almo4s8": 142, "4238": [142, 153], "femna": 142, "4978": 142, "alti2n": 142, "862787": 142, "alinse3": 142, "675374": 142, "al2pbse4": 142, "3574": 142, "alcu2mn": 142, "alcu2ti": 142, "13079": 142, "alcomn2": 142, "4989": 142, "crnia": 142, "675930": 142, "in3asse3": 142, "17984": 142, "ag8snse6": 142, "675510": 142, "pbpd5as4": 142, "10848": 142, "pdass": 142, "540665": 142, "cu7as6se13": 142, "22209": 142, "cr3asn": 142, "561511": 142, "feass": 142, "5145": 142, "ag3asse3": 142, "3830": 142, "niass": 142, "8016": 142, "675626": 142, "cu3asse4": 142, "675628": 142, "al2crs4": 142, "3595": 142, "znas2si": 142, "11795": 142, "al2cu3se6": 142, "4008": 142, "znas2g": 142, "30151": 142, "aucuse4": 142, "3172": 142, "ag3ause2": 142, "19941": 142, "pbas2s4": 142, "16083": 142, "675526": 142, "cofea": 142, "34371": 142, "28717": 142, "cu6as4s9": 142, "20257": 142, "pb2pd3a": 142, "862695": 142, "al2coru": 142, "16785": 142, "almn2s4": 142, "555843": 142, "12759": 142, "aucuzn2": 142, "1025306": 142, "alpt5a": 142, "676828": 142, "cuzna": 142, "867326": 142, "al2rhru": 142, "7907": 142, "al2znse4": 142, "988996": 142, "feassb": 142, "984714": 142, "864623": 142, "au2cuzn": 142, "15683": 142, "crrha": 142, "505540": 142, "rhtia": 142, "866033": 142, "alrh2zn": 142, "5190": 142, "snznas2": 142, "505511": 142, "coass": 142, "1025356": 142, "pt5zna": 142, "20757": 142, "almng": 142, "504815": 142, "ni2re5as12": 142, "14091": 142, "agalse2": 142, "864844": 142, "aurhzn2": 142, "5491": 142, "alau2mn": 142, "4627": 142, "29249": 142, "asges": 142, "3345": 142, "cu3ass4": 142, "504884": 142, "cu3ass3": 142, "19833": 142, "10895": 142, "almn2v": 142, "1025212": 142, "inpt5a": 142, "22027": 142, "aumnsn": 142, "862705": 142, "alir2zn": 142, "1025346": 142, "gapd5a": 142, "16495": 142, "alcrfe2": 142, "1025293": 142, "inpd5a": 142, "570713": 142, "alptti": 142, "865730": 142, "au2tizn": 142, "867775": 142, "al2niru": 142, "10892": 142, "almnpt": 142, "21598": 142, "ni2assi": 142, "1017515": 142, "comn2a": 142, "5407": 142, "alco2ti": 142, "3648": 142, "865989": 142, "al2irru": 142, "867125": 142, "al2ptru": 142, "553946": 142, "862715": 142, "al2pdru": 142, "20395": 142, "rhva": 142, "561620": 142, "865442": 142, "alos2ti": 142, "31171": 142, "agauzn2": 142, "977383": 142, "aupd2zn": 142, "685956": 142, "in4as3s": 142, "12559": 142, "mnpd2a": 142, "7885": 142, "20545": 142, "7113": 142, "aucrs2": 142, "862781": 142, "alcrru2": 142, "864980": 142, "almnru2": 142, "505803": 142, "16094": 142, "4483": 142, "agasse2": 142, "5518": 142, "aggase2": 142, "10883": 142, "alco2cr": 142, "621348": 142, "au2inti": 142, "971891": 142, "aupdzn2": 142, "866155": 142, "alru2ti": 142, "866153": 142, "alrh2ti": 142, "34460": 142, "865441": 142, "alpd2ti": 142, "864990": 142, "almn2w": 142, "505572": 142, "al13cr4si4": 142, "567856": 142, "mnrha": 142, "22546": 142, "corha": 142, "10846": 142, "990091": 142, "ag2ws4": 142, "554868": 142, "10894": 142, "almnrh2": 142, "3623": 142, "alco2mn": 142, "861640": 142, "alreti2": 142, "20791": 142, "mnva": 142, "18561": 142, "ga2rh5a": 142, "866001": 142, "alru2v": 142, "15819": 142, "al9mn3si": 142, "978976": 142, "al16pt7ti6": 142, "27594": 142, "pb9as4s15": 142, "568934": 142, "alti4n3": 142, "862778": 142, "alru2si": 142, "5305": 142, "cuass": 142, "864950": 142, "alir2mn": 142, "541021": 142, "pd5assb": 142, "11193": 142, "auvs2": 142, "20162": 142, "16102": 142, "al5cuse8": 142, "37405": 142, "555269": 142, "11819": 142, "al14cu3se24": 142, "865235": 142, "al16ni7ti6": 142, "10891": 142, "almnpd2": 142, "864988": 142, "alcrmn2": 142, "16090": 142, "640047": 142, "mn2gese4": 142, "20145": 142, "co2gati": 142, "4840": 142, "cugase2": 142, "1025229": 142, "coga5ti": 142, "21306": 142, "cotisi": 142, "504753": 142, "cu12as4s13": 142, "16482": 142, "alau2ti": 142, "4842": 142, "al2zns4": 142, "675745": 142, "cumo6s8": 142, "5094": 142, "co2ge3se3": 142, "624190": 142, "pbges3": 142, "674310": 142, "cr4cu3se8": 142, "505628": 142, "cr3irn": 142, "677093": 142, "crin2s4": 142, "1018806": 142, "moss": 142, "11658": 142, "cu2snse3": 142, "5749": 142, "cr2fese4": 142, "675920": 142, "agti6s12": 142, "685605": 142, "cu3fes8": 142, "1025340": 142, "cu2wse4": 142, "20817": 142, "ptgese": 142, "674355": 142, "coni2s4": 142, "1025180": 142, "cr2mnse4": 142, "567394": 142, "gamo4se8": 142, "1025190": 142, "co2nise4": 142, "571054": 142, "cu2mo3se4": 142, "10371": 142, "cr2gan": 142, "541785": 142, "pdges3": 142, "1025151": 142, "cr2nise4": 142, "11745": 142, "cr4zns8": 142, "676349": 142, "cu3ga7se12": 142, "15236": 142, "crsbse3": 142, "542316": 142, "co2mo3n": 142, "686056": 142, "femo6se8": 142, "1025279": 142, "cr2tise4": 142, "676076": 142, "cu11s13sb4": 142, "1025045": 142, "gapdti": 142, "22130": 142, "fe6tige6": 142, "4728": 142, "cu2gese3": 142, "4962": 142, "cossb": 142, "2979": 142, "zngen2": 142, "864951": 142, "almnos2": 142, "977356": 142, "gair2zn": 142, "865191": 142, "feru2g": 142, "555066": 142, "mo6pbs8": 142, "15614": 142, "curh2se4": 142, "10754": 142, "ferh2s4": 142, "28888": 142, "cupt2s4": 142, "30662": 142, "ga4pd7zn3": 142, "15065": 142, "cuir2s4": 142, "610972": 142, "mnpdge": 142, "12347": 142, "19983": 142, "cusnti": 142, "867292": 142, "ga2rhru": 142, "3274": 142, "nipdg": 142, "5529": 142, "fe2mnsi": 142, "21090": 142, "mnnige": 142, "866041": 142, "ga2irru": 142, "976082": 142, "gamn2w": 142, "865615": 142, "garu2si": 142, "977361": 142, "ferh2zn": 142, "980665": 142, "cuirzn2": 142, "15226": 142, "crwn2": 142, "865494": 142, "crruv2": 142, "865484": 142, "crrev2": 142, "865485": 142, "crosv2": 142, "10394": 142, "cocrg": 142, "1025313": 142, "ga5niti": 142, "1025232": 142, "crv2se4": 142, "12464": 142, "copd2se2": 142, "15657": 142, "5967": [142, 154], "cotisb": 142, "1008680": 142, "pttige": 142, "1018802": 142, "gamng": 142, "5318": 142, "comnsb": 142, "21855": 142, "cu3vse4": 142, "3762": 142, "cu3vs4": 142, "29752": 142, "nipt2g": 142, "675525": 142, "gainse2": 142, "1018066": 142, "crrh2sn": 142, "35539": 142, "zn2gese4": 142, "8976": 142, "cu2ws4": 142, "34467": 142, "ga2zns4": 142, "15776": 142, "ga2znse4": 142, "4152": [142, 154], "coga2s4": 142, "20261": 142, "ga2mnse4": 142, "557373": 142, "22736": 142, "cuins2": 142, "9814": 142, "cu3sbse4": 142, "5702": 142, "cu3s4sb": 142, "5238": 142, "cugas2": 142, "5862": 142, "crcus2": 142, "13133": 142, "cu2snse4": 142, "675748": 142, "zn2ges4": 142, "20025": 142, "ga2mns4": 142, "5350": 142, "19807": 142, "co3sn2s2": 142, "21112": 142, "fein2s4": 142, "975924": 142, "ir2ge3se3": 142, "675553": 142, "agmo6s8": 142, "865585": 142, "ru2vg": 142, "865469": 142, "mnruti2": 142, "864661": 142, "cupd2zn": 142, "971827": 142, "cuptzn2": 142, "18663": 142, "al17pd8si4": 142, "22725": 142, "cu2inti": 142, "20331": 142, "cusbse2": 142, "505804": 142, "cuti2sb3": 142, "866376": 142, "mn2tige": 142, "510380": 142, "cumn3n": 142, "20255": 142, "cutisi": 142, "866141": 142, "fe2tisi": 142, "5396": 142, "co2mnsb": 142, "863690": 142, "comnti2": 142, "20793": 142, "fega2s4": 142, "15895": 142, "cu2s3si": 142, "9130": 142, "crs3sb": 142, "560370": 142, "pb2ges4": 142, "8829": 142, "crgase3": 142, "13872": 142, "cu8s6si": 142, "570863": 142, "cocrpt2": 142, "621925": 142, "mn2ges4": 142, "861641": 142, "coreti2": 142, "864989": 142, "almn2r": 142, "861639": 142, "coirti2": 142, "980749": 142, "feru2v": 142, "675644": 142, "co2rhs4": 142, "13082": 142, "comn2si": 142, "5090": 142, "feti2se4": 142, "1025224": 142, "cr2vs4": 142, "27512": 142, "cr2nis4": 142, "10755": 142, "fetisb": 142, "29091": 142, "cu4tis4": 142, "627439": 142, "gamn3n": 142, "5045": 142, "snges3": 142, "977362": 142, "garh2zn": 142, "865586": 142, "garu2v": 142, "866142": 142, "gair2ti": 142, "3464": 142, "feru2si": 142, "21467": 142, "co2snti": 142, "569151": 142, "gamnpt": 142, "861983": 142, "femnti2": 142, "865779": 142, "coga2ru": 142, "864955": 142, "cocrmn2": 142, "637918": 142, "cr3gen": 142, "865448": 142, "garu2ti": 142, "861672": 142, "feirti2": 142, "865088": 142, "gair2mn": 142, "15613": 142, "curh2s4": 142, "20268": 142, "pdtige": 142, "19809": 142, "comnsi": 142, "22662": 142, "gaptti": 142, "601285": 142, "gamnni2": 142, "999052": 142, "almnti2": 142, "10428": 142, "cu8se6si": 142, "865930": 142, "cu2tizn": 142, "865780": 142, "gamn2ti": 142, "677105": 142, "1025550": 142, "gati2n": 142, "8689": 142, "v4gese8": 142, "865140": 142, "gamnru2": 142, "10893": 142, "almnpt2": 142, "13020": 142, "cuti5sb2": 142, "9248": 142, "98": [142, 147, 149, 157], "co2zns4": 142, "1025235": 142, "co2fese4": 142, "864953": 142, "crmnv2": 142, "12951": 142, "mn4zns8": 142, "30326": 142, "feti5sb2": 142, "568349": 142, "crfe2se4": 142, "5881": 142, "1025269": 142, "coti2s4": 142, "22171": 142, "10519": 142, "cu2sns3": 142, "21286": 142, "comng": 142, "20840": 142, "co2mnsn": 142, "686717": 142, "fe2nise4": 142, "20565": 142, "15252": 142, "cu2ges3": 142, "1025322": 142, "co2vse4": 142, "3880": 142, "cr2cuse4": 142, "15896": 142, "cu2se3si": 142, "21244": 142, "cr3rhn": 142, "5546": 142, "cu8ges6": 142, "605485": 142, "cufe2s3": 142, "559918": 142, "cuti2s4": 142, "1025347": 142, "coti2se4": 142, "753490": 142, "cutig": 142, "21504": 142, "gav4se8": 142, "643945": 142, "fetih2": 142, "31185": 142, "alfe2mn": 142, "4612": [142, 144], "co2tig": 142, "7187": 142, "alni2ti": 142, "13140": 142, "cu2gese4": 142, "6959": 142, "ga2nis4": 142, "4468": 142, "cus2sb": 142, "673824": 142, "feni2s4": 142, "16356": 142, "nitig": 142, "19885": 142, "gains3": 142, "559694": 142, "gamo4s8": 142, "1008224": 142, "co2crsi": 142, "12340": 142, "861627": 142, "almoti2": 142, "21299": 142, "cocr2s4": 142, "19955": 142, "co2cuge2": 142, "675208": 142, "como12se16": 142, "16358": 142, "ni2zng": 142, "29476": 142, "cu3sbse3": 142, "865898": 142, "co2tizn": 142, "4652": 142, "mnpbrh2": 142, "3499": 142, "mnpd2sb": 142, "31328": 142, "inmnpd2": 142, "21233": 142, "inti3n": 142, "644483": 142, "snti3h": 142, "4852": 142, "nirh2se4": 142, "15652": 142, "pb2rh3s2": 142, "21863": 142, "pb2pd3s2": 142, "19747": 142, "ni3pb2se2": 142, "20152": 142, "inmo3se3": 142, "22607": 142, "in2znse4": 142, "34169": 142, "17835": 142, "sn2s5sb2": 142, "10412": 142, "mns4sb2": 142, "504814": 142, "pb2s5sb2": 142, "662823": 142, "in10pb6s21": 142, "866168": 142, "inpd2ti": 142, "4756": 142, "snznsb2": 142, "22596": 142, "ni3pb2s2": 142, "1025368": 142, "ti2vs4": 142, "29912": 142, "mosb2s": 142, "569983": 142, "ni2pdse2": 142, "10847": 142, "nisbs": 142, "ti4zns8": 142, "22253": 142, "in2zns4": 142, "619279": 142, "in2pbs4": 142, "27532": 142, "pb2se4si": 142, "22731": 142, "inmnni2": 142, "560262": 142, "627601": 142, "22463": 142, "inni2ti": 142, "675124": 142, "in4sns8": 142, "561419": 142, "fev2s4": 142, "865537": 142, "co2mnti": 142, "29749": 142, "ga3ni5ge2": 142, "865032": 142, "mn2ptrh": 142, "13350": 142, "cu2ges4": 142, "622755": 142, "14280": 142, "ga2sn2s5": 142, "7126": 142, "sntisb": 142, "504482": 142, "alins3": 142, "1025203": 142, "ti2vse4": 142, "3951": 142, "21365": 142, "ins3sb": 142, "616255": 142, "in2sn3s7": 142, "4194": 142, "cr2zns4": 142, "1025787": 142, "mow2se6": 142, "676058": 142, "niv3s6": 142, "1025263": 142, "niti2s4": 142, "685980": 142, "mo3nis4": 142, "644259": 142, "niti2h": 142, "17367": 142, "mn2se4si": 142, "1027608": 142, "mo2s3s": 142, "11609": 142, "mo2s2sb": 142, "674493": 142, "in2nis4": 142, "22769": 142, "cotig": 142, "865948": 142, "rerhti2": 142, "17691": 142, "cu3s3sb": 142, "865680": 142, "os2tisi": 142, "3679": 142, "nissb": 142, "21171": 142, "co2gamn": 142, "1028663": 142, "wsse": 142, "1023929": 142, "504564": 142, "pb2s4si": 142, "20362": 142, "mn3nin": 142, "861961": 142, "rh2tizn": 142, "1025281": 142, "niti2se4": 142, "1027492": 142, "1027483": 142, "mo2sse3": 142, "7823": 142, "niv2se4": 142, "1025905": 142, "mo2wse6": 142, "1025815": 142, "21409": 142, "29310": 142, "h6sesi2": 142, "560806": 142, "in2zn2s5": 142, "4909": 142, "niv2s4": 142, "1025925": 142, "mo3s4se2": 142, "28090": 142, "h2s3si2": 142, "31458": 142, "rutisb": 142, "1027580": 142, "22052": 142, "865015": 142, "mnrh2si": 142, "865487": 142, "rh2vzn": 142, "977384": 142, "rh2znsi": 142, "22565": 142, "mnrhsi": 142, "505781": 142, "mnpd2ge": 142, "864946": 142, "cumnpd2": 142, "644838": 142, "co2mo4n": 142, "1025222": 142, "pd5znse": 142, "11073": 142, "in3rh2ti3": 142, "1025173": 142, "mo2tis4": 142, "1014257": 142, "ti3znn": 142, "662815": 142, "672677": 142, "co16ti6si7": 142, "1027335": 142, "mows4": 142, "1025599": 142, "w3s2se4": 142, "14446": 142, "v2zns4": 142, "21139": 142, "mn2sns4": 142, "27904": 142, "fessb": 142, "30075": 142, "feti4s8": 142, "600124": 142, "mnnisb": 142, "11835": 142, "al14cu3s24": 142, "1016108": 142, "tiznn2": 142, "510409": 142, "nitisi": 142, "675691": 142, "ni2rhs4": 142, "11418": 142, "v4zns8": 142, "8648": 142, "fetisi": 142, "542188": 142, "crmo2s4": 142, "542154": 142, "mo3pd2n": 142, "9374": 142, "mnmon2": 142, "5336": 142, "mo6sns8": 142, "22721": 142, "mo6pbse8": 142, "22502": 142, "irmn3n": 142, "865486": 142, "ru2vzn": 142, "865656": 142, "mn2tiw": 142, "866183": 142, "reti2zn": 142, "864839": 142, "pdrhzn2": 142, "981368": 142, "pdptzn2": 142, "972236": 142, "mov2w": 142, "979259": 142, "morev2": 142, "972205": 142, "moosv2": 142, "972396": 142, "mnreti2": 142, "865768": 142, "mnosti2": 142, "865529": 142, "irniti2": 142, "555370": 142, "mo2vs4": 142, "971836": 142, "irnizn2": 142, "16687": 142, "rhti5sb2": 142, "27907": 142, "pb4s13sb6": 142, "1025819": 142, "mo3s2se4": 142, "541937": 142, "864985": 142, "ir2mnzn": 142, "978785": 142, "mopt3si4": 142, "4664": 142, "mnrh2ge": 142, "12466": 142, "fepd2se2": 142, "3740": 142, "ni2snti": 142, "15805": 142, "mn3znn": 142, "21235": 142, "gamn2v": 142, "16335": 142, "feti3s6": 142, "20007": 142, "865462": 142, "mnosv2": 142, "865877": 142, "ptreti2": 142, "1028409": 142, "mo3wse8": 142, "1025359": 142, "feni2se4": 142, "13993": 142, "niti3s6": 142, "28143": 142, "h8n2s5": 142, "1027890": 142, "865554": 142, "mn2vge": 142, "1025988": 142, "31455": 142, "ruvsb": 142, "12731": 142, "20949": 142, "mnnisi": 142, "696867": 142, "niv4s8": 142, "21606": 142, "mntisi2": 142, "971738": 142, "cuni2zn": 142, "30705": 142, "ga3ni2ti4": 142, "978568": 142, "mopt2si3": 142, "1027269": 142, "672645": 142, "rhtisi": 142, "864957": 142, "mnru2sb": 142, "866375": 142, "fe2tig": 142, "21662": 142, "fetisi2": 142, "961682": 142, "pdsnti": 142, "865569": 142, "irmnti2": 142, "18649": 142, "mnrhge": 142, "972238": 142, "irti2v": 142, "1028764": 142, "4922": 142, "almnni2": 142, "864983": 142, "mnru2v": 142, "4697": 142, "cr2znse4": 142, "27669": 142, "hns3": 142, "1026980": 142, "1025218": 142, "pbpt5si": 142, "696216": 142, "21851": 142, "irmnsi": 142, "999576": 142, "mn2rusi": 142, "571163": 142, "mnrh2sb": 142, "866218": 142, "mnrhti2": 142, "4846": 142, "mnrhsb": 142, "582028": 142, "mn3rhn": 142, "1020712": 142, "znn2si": 142, "647164": 142, "cu12s13sb4": 142, "647606": 142, "1025689": 142, "mow2s6": 142, "505822": 142, "rutisi": 142, "21418": 142, "mnptsn": 142, "5528": 142, "ni3sn2s2": 142, "1027569": 142, "mo3ws8": 142, "11560": 142, "672235": 142, "684021": 142, "sn4s13sb6": 142, "1028772": 142, "1028488": 142, "2956": 142, "co2ge3s3": 142, "24290": 142, "hns7": 142, "864968": 142, "inmnrh2": 142, "866170": 142, "inrh2ti": 142, "865707": 142, "rh2snti": 142, "4990": 142, "mnrh2sn": 142, "542644": 142, "977427": 142, "ptrhzn2": 142, "961659": 142, "pdtisi": 142, "998970": 142, "fe2tisb": 142, "1018068": 142, "crfe2si": 142, "985304": 142, "crga2s4": 142, "1023928": 142, "mowse4": 142, "865717": 142, "irreti2": 142, "20339": 142, "inni2ti2": 142, "972204": 142, "moruv2": 142, "675452": 142, "ti20h2n17": 142, "674328": 142, "1025182": 142, "fev2se4": 142, "20246": 142, "ir7mn4ge6": 142, "1025588": 142, "1001017": 142, "3000": 142, "cr3gan": 142, "29491": 142, "hns8": 142, "1027647": 142, "865490": 142, "crfev2": 142, "569662": 142, "5676": 142, "mnptsb": 142, "637614": 142, "in2zn3s6": 142, "1028487": 142, "w2s3se": 142, "865678": 142, "mn2tiv": 142, "9270": 142, "irssb": 142, "867904": 142, "alru2g": 142, "865664": 142, "re2tiw": 142, "864936": 142, "mnru2g": 142, "20952": 142, "nitisb": 142, "1023953": 142, "865538": 142, "pdreti2": 142, "1028414": 142, "865679": 142, "pd2snti": 142, "1025922": 142, "mo2ws6": 142, "22658": 142, "co2nis4": 142, "1028420": 142, "865895": 142, "garu2g": 142, "961706": 142, "pttisi": 142, "1025584": 142, "w3s4se2": 142, "5584": 142, "19971": 142, "co2zng": 142, "4474": 142, "gav4s8": 142, "21019": 142, "cr2fes4": 142, "23977": 142, "1030504": 142, "mow3se8": 142, "27722": 142, "pdn2s6": 142, "1027645": 142, "22168": 142, "in2mns4": 142, "999508": 142, "mnni2si": 142, "22029": 142, "mnni2g": 142, "697075": 142, "ti3zn3n": 142, "864949": 142, "gamnrh2": 142, "865842": 142, "osruti2": 142, "5178": 142, "cuv2s4": 142, "30656": 142, "ganiti": 142, "866140": 142, "gapd2ti": 142, "865079": 142, "pd2tizn": 142, "1014227": 142, "ti2znn": 142, "1030565": 142, "1028686": 142, "w2sse3": 142, "20708": 142, "in2ni3s2": 142, "5807": 142, "7070": [142, 147], "mn3ptn": 142, "1030119": 142, "1028978": 142, "11651": 142, "1026034": 142, "8630": 142, "1025577": 142, "5124": 142, "mnni2sb": 142, "2885": 142, "1025047": 142, "cofeg": 142, "570666": 142, "mo3pt2n": 142, "1018046": 142, "fe2gamn": 142, "11248": 142, "mn2zns4": 142, "20228": 142, "11621": 142, "niznsb": 142, "867917": 142, "curh2g": 142, "864654": 142, "nirhzn2": 142, "972777": 142, "osrusi2": 142, "971737": 142, "osruv2": 142, "674514": 142, "cuin5s8": 142, "22289": 142, "comn2g": 142, "861619": 142, "pt2tizn": 142, "980193": 142, "pdti2h4": 142, "505571": 142, "mn3snn": 142, "8688": 142, "v4ges8": 142, "976401": 142, "rh2ge3se3": 142, "1025906": 142, "865640": 142, "ru2tig": 142, "865803": 142, "moptti2": 142, "1025911": 142, "22300": 142, "co2feg": 142, "1027273": 142, "mow3s8": 142, "14772": 142, "1028769": 142, "22803": 142, "cr2cus4": 142, "676402": 142, "cu3ti8s16": 142, "567981": 142, "co2crga": 142, "996940": 142, "retin3": 142, "504952": 142, "gainse3": 142, "1018071": 142, "fe2mng": 142, "30847": 142, "ptsnti": 142, "924130": 142, "nisnti": 142, "10154": 142, "irmnsb": 142, "20481": 142, "mnpd2sn": 142, "1029246": 142, "504587": 142, "cu9fe9s16": 142, "865093": 142, "ni2tizn": 142, "1026916": 142, "16740": 142, "1025575": 142, "865791": 142, "crru2si": 142, "1025517": 142, "inti2n": 142, "672259": 142, "alfe2mo": 142, "1023954": 142, "29026": 142, "mnwn2": 142, "19850": 142, "co2mng": 142, "636320": 142, "fe2gati": 142, "864987": 142, "mnrh2zn": 142, "1028823": 142, "865712": 142, "mnniti2": 142, "30285": 142, "mossb2": 142, "29211": 142, "cu3v4s8": 142, "865652": 142, "mn2tisi": 142, "20511": 142, "inmo6se8": 142, "11251": 142, "ti2zns4": 142, "675781": 142, "cu3mo12s16": 142, "30312": 142, "ca2ir2si": 142, "9040": 142, "auca3n": 142, "7883": 142, "au2cage2": 142, "568866": 142, "na6sn2zn": 142, "21352": 142, "auin2na": 142, "16245": 142, "aucasb": 142, "571039": 142, "alcapd": 142, "11822": 142, "ca3gen": 142, "754850": 142, "natis2": 142, "10224": 142, "navs2": 142, "7392": 142, "agna2sb": 142, "10419": 142, "na4ren3": 142, "864788": 142, "innbru2": 142, "5621": 142, "cu3nbs4": 142, "15685": 142, "cuna2a": 142, "19968": 142, "cacuin2": 142, "7773": 142, "auna2a": 142, "8411": 142, "agna2a": 142, "7223": 142, "ca3asn": 142, "675326": 142, "irnb4se10": 142, "643260": 142, "na2pdh4": 142, "866818": 142, "ca2sns4": 142, "10366": 142, "co3nb2si": 142, "19887": 142, "fe6nbge6": 142, "9249": 142, "aunag": 142, "31160": 142, "casnzn": 142, "11811": 142, "aucaga": 142, "961685": 142, "canaa": 142, "20792": 142, "ca2inpd2": 142, "7942": 142, "1018116": 142, "innbse2": 142, "867751": 142, "agca2sn": 142, "697096": 142, "na2pth4": 142, "676348": 142, "ag7nbs6": 142, "1013548": 142, "ca3nsb": 142, "1018811": 142, "nbgesb": 142, "17892": 142, "ca2vn3": 142, "675101": 142, "ca5nbn5": 142, "1025195": 142, "nb2vse4": 142, "1025291": 142, "nb2tise4": 142, "989635": 142, "camon3": 142, "15308": 142, "ca2crn2": 142, "8765": 142, "cona2s2": 142, "13792": 142, "ca2wn2": 142, "5610": 142, "caru2as2": 142, "14557": 142, "ca2mnn2": 142, "28770": 142, "ca2fen2": 142, "569298": 142, "caco2as2": 142, "7878": 142, "ag2cage2": 142, "31460": 142, "conbsb": 142, "982725": 142, "nb2ruw": 142, "5414": 142, "nas2sb": 142, "4043": 142, "cu3nbse4": 142, "3332": 142, "crnase2": 142, "10166": 142, "alnase2": 142, "21885": 142, "ca2inpt2": 142, "989606": 142, "caren3": 142, "15272": 142, "ca2con2": 142, "7774": 142, "auna2sb": 142, "11214": 142, "agcasb": 142, "977359": 142, "au2casn": 142, "865653": 142, "nbre2ti": 142, "7939": 142, "nanbse2": 142, "864857": 142, "co2nbzn": 142, "34289": 142, "nbtis4": 142, "568469": 142, "ca4tin4": 142, "27682": 142, "nasns2": 142, "568424": 142, "alauca": 142, "568974": 142, "cacu2sn2": 142, "22717": 142, "cain2pd": 142, "982443": 142, "canapb2": 142, "861960": 142, "au2cain": 142, "867113": 142, "auca2a": 142, "983566": 142, "agca2g": 142, "698032": 142, "na3ruh7": 142, "643001": 142, "na4ruh6": 142, "24747": 142, "na3rhh6": 142, "707836": 142, "irna3h6": 142, "864840": 142, "nbru2zn": 142, "11489": 142, "10225": 142, "5693": 142, "crnas2": 142, "867854": 142, "ca2rhzn": 142, "22602": 142, "aucain2": 142, "7017": 142, "nanbn2": 142, "989616": 142, "cawn3": 142, "4259": 142, "caco2ge2": 142, "7364": 142, "au2casi2": 142, "11768": 142, "ca3fe2n4": 142, "30472": 142, "ca2cu2ga": 142, "867943": 142, "na3osh7": 142, "864831": 142, "nbrh2zn": 142, "976261": 142, "ca2inna": 142, "864991": 142, "agca2pb": 142, "9266": 142, "fena6s4": 142, "19791": 142, "caru2ge2": 142, "19824": 142, "camn2ge2": 142, "999454": 142, "865729": 142, "ag2casn": 142, "21852": 142, "nb3pbs6": 142, "15071": 142, "fena6se4": 142, "7557": 142, "nb5sn2si": 142, "10232": 142, "mnnase2": 142, "3567": 142, "navse2": 142, "9634": 142, "agna3s2": 142, "752947": 142, "11741": 142, "camn4s8": 142, "28922": 142, "ca2n8si5": 142, "1024049": 142, "na2zn2se3": 142, "18411": 142, "na3gese3": 142, "567191": 142, "alcasi": 142, "570150": 142, "7704": 142, "al2casi2": 142, "541291": 142, "mona3n3": 142, "680754": 142, "ca5cupb3": 142, "540696": 142, "ca3as4si2": 142, "866941": 142, "casns3": 142, "29198": 142, "auna5se12": 142, "17558": 142, "ca5ga2as6": 142, "1024050": 142, "na2zn3se4": 142, "10470": 142, "nbrhsi": 142, "28019": 142, "crnbse5": 142, "14433": 142, "nage2n3": 142, "3479": 142, "al9cani": 142, "17060": 142, "16961": 142, "na6se7si2": 142, "570769": 142, "cacu4in": 142, "8607": 142, "cu4nasb2": 142, "10167": 142, "na3s4sb": 142, "28304": 142, "al2ca3as4": 142, "29628": 142, "na4sns4": 142, "4907": 142, "na6sn2s7": 142, "16037": 142, "cati4s8": 142, "866824": 142, "13520": 142, "na2zng": 142, "16380": 142, "ca2s5sb2": 142, "16839": 142, "na3wn3": 142, "8389": 142, "na6zns4": 142, "4441": 142, "cacu2ge2": 142, "27752": 142, "na6ge2s7": 142, "21440": 142, "crnbge": 142, "10797": 142, "cani2si": 142, "1027687": 142, "654956": 142, "alcah5": 142, "866811": 142, "14588": 142, "na2ptse2": 142, "9571": 142, "cazn2as2": 142, "28278": 142, "na2gese3": 142, "10670": 142, "al2ca3ge2": 142, "865082": 142, "au2cana": 142, "983850": 142, "agauca2": 142, "1018812": 142, "nbasg": 142, "8670": 142, "ca3crn3": 142, "10246": 142, "na2pts2": 142, "866850": 142, "634657": 142, "20621": 142, "innbs2": 142, "8973": 142, "nan3si2": 142, "865523": 142, "mnrh2ti": 142, "14086": 142, "ca5mn2n6": 142, "865533": 142, "osreti2": 142, "13911": 142, "cazn2ge2": 142, "7429": 142, "cazn2sb2": 142, "20612": 142, "mnnaa": 142, "12137": 142, "cazn2si2": 142, "16396": 142, "alca3sb3": 142, "13673": 142, "au3nasi": 142, "15567": 142, "auna3s2": 142, "11957": 142, "cairsn2": 142, "10878": 142, "al8camn4": 142, "568543": 142, "na2snse3": 142, "16889": 142, "na6sn2se7": 142, "29139": 142, "aunase2": 142, "28355": 142, "na4ge2se5": 142, "7433": 142, "cunas": 142, "30175": 142, "al2cazn2": 142, "1021465": 142, "na2znse2": 142, "5942": 142, "naass2": 142, "7221": 142, "nb5pd4as4": 142, "510086": 142, "ca2inn": 142, "8543": 142, "alna3as2": 142, "21220": 142, "cain4rh": 142, "15358": 142, "ca2nin2": 142, "20279": 142, "672254": 142, "capbpd": 142, "864971": 142, "mnru2sn": 142, "630875": 142, "au3ca2in4": 142, "14763": 142, "ca3mnn3": 142, "10199": 142, "mnnb3s6": 142, "10877": 142, "al8cacu4": 142, "13674": 142, "au3nag": 142, "13041": 142, "ca11mn2n10": 142, "18100": 142, "na6ge2se7": 142, "952566": 142, "nasnsb": 142, "7443": 142, "crnb2se4": 142, "10876": 142, "al7ca3cu2": 142, "5910": 142, "cacusb": 142, "16261": 142, "carh2ge2": 142, "989649": 142, "20723": 142, "au2ca2pb": 142, "16263": 142, "cazng": 142, "643273": 142, "napd3h2": 142, "567769": 142, "capd2si2": 142, "977401": 142, "ganbru2": 142, "31234": 142, "ca4ir8as7": 142, "9577": 142, "al2ca3si2": 142, "28303": 142, "na3se4si": 142, "23705": 142, "alna3h6": 142, "17186": 142, "alca3as3": 142, "675060": 142, "cu7in8se16": 142, "28566": 142, "natise4": 142, "504951": 142, "15431": 142, "ga2na2as3": 142, "579544": 142, "ca6cu2sn7": 142, "22722": 142, "nbpdsi": 142, "11739": 142, "11958": 142, "capdsn2": 142, "27997": 142, "al2ca3ge3": 142, "541689": 142, "in3na7se8": 142, "28267": 142, "al2na7sb5": 142, "568580": 142, "ga6na10sn3": 142, "29308": 142, "co2na5s5": 142, "4247": 142, "naznsb": 142, "977244": 142, "nati5se8": 142, "34932": 142, "cahn": 142, "583071": 142, "18300": 142, "16324": 142, "9951": 142, "mnnbge": 142, "18504": 142, "ca3as4ge2": 142, "14422": 142, "al2cas4": 142, "16448": 142, "541940": 142, "cr6ni16si7": 142, "28645": 142, "canin": 142, "8487": 142, "captsb": 142, "675310": 142, "na3v5se10": 142, "866810": 142, "36988": 142, "al2case4": 142, "18619": 142, "na2ge2se5": 142, "30437": 142, "capdsn": 142, "29570": 142, "agca2si3": 142, "9029": 142, "ca3vn3": 142, "672653": 142, "nb6ni16ge7": 142, "621960": 142, "pb4s11sb4": 142, "632394": 142, "nah2n": 142, "607437": 142, "au6in5na2": 142, "27321": 142, "cu4na3s4": 142, "864966": 142, "mnru2si": 142, "20108": 142, "cain4pd": 142, "21907": 142, "nbassi": 142, "675290": 142, "irnb9se20": 142, "561130": 142, "gana3s3": 142, "504536": 142, "cu4sns4": 142, "645719": 142, "au10ca4in3": 142, "4364": 142, "co2ganb": 142, "4363": 142, "ca3rh4sn13": 142, "16033": 142, "ca3ti8s16": 142, "568965": 142, "can2si": 142, "22640": 142, "cafe4as3": 142, "8818": 142, "ca2znn2": 142, "5498": 142, "camn2as2": 142, "570879": 142, "cacusn": 142, "560538": 142, "alna3s3": 142, "10469": 142, "nbptsi": 142, "966582": 142, "29626": 142, "na4sn3s8": 142, "21131": 142, "camnsb2": 142, "17230": 142, "ganb5sn2": 142, "675367": 142, "irnb3s8": 142, "541062": 142, "ca3gaas3": 142, "29375": 142, "inna3s3": 142, "1019576": 142, "ca4n4si": 142, "5125": 142, "fena3se3": 142, "28079": 142, "mn2na2s3": 142, "9690": 142, "al2caga2": 142, "570555": 142, "ca7gen6": 142, "28768": 142, "na4snse4": 142, "16029": 142, "cati2s4": 142, "20220": 142, "cainrh": 142, "7400": 142, "alnag": 142, "676586": 142, "nav2s4": 142, "21774": 142, "ca2pt3sn5": 142, "9682": 142, "alna3se3": 142, "675066": 142, "irnb3se8": 142, "981933": 142, "napbpd2": 142, "984605": 142, "ca3snh2": 142, "1024076": 142, "na2zns2": 142, "16454": 142, "ca6mnn5": 142, "18568": 142, "na2ge2s5": 142, "20838": 142, "cain4ir": 142, "1024069": 142, "na2zn3s4": 142, "4583": 142, "co2nbsn": 142, "649479": 142, "ca5in2sb6": 142, "22473": 142, "innase2": 142, "1019578": 142, "ca5n6si2": 142, "1024072": 142, "643912": 142, "ca5ge3h": 142, "21622": 142, "inna3as2": 142, "16861": 142, "na5as3g": 142, "571333": 142, "8439": 142, "al2ca5sb6": 142, "17985": 142, "ca5ga2sb6": 142, "4068": 142, "na2ges3": 142, "30030": 142, "ni7zn6ge2": 142, "10003": 142, "conb4si": 142, "20419": 142, "ca4in2n": 142, "22287": 142, "irnbg": 142, "607230": 142, "ca3ga3rh2": 142, "7829": 142, "mnnbsi": 142, "4192": 142, "866475": 142, "ca3sn2s7": 142, "4120": 142, "cacua": 142, "8982": 142, "captsi": 142, "8257": 142, "18139": 142, "na5as3si": 142, "16363": 142, "866474": 142, "542953": 142, "cani2zn3": 142, "17473": 142, "al2na2as3": 142, "18670": 142, "ca5sn2as6": 142, "866836": 142, "29745": 142, "mn2na2se3": 142, "30931": 142, "na4se4si": 142, "7116": 142, "conb3s6": 142, "3504": 142, "nbni2sn": 142, "557179": 142, "18562": 142, "na2se5si2": 142, "31158": 142, "ca7ni4sn13": 142, "989401": 142, "20970": 142, "mnnasb": 142, "20378": 142, "aucain": 142, "16266": 142, "caznsi": 142, "866580": 142, "11253": 142, "aunasn": 142, "865507": 142, "ru2vsi": 142, "17148": 142, "gana3se3": 142, "650513": 142, "ca3in2as4": 142, "11431": 142, "caga3ni2": 142, "557640": 142, "nb3sns6": 142, "644307": 142, "cah4n2": 142, "16259": 142, "cair2ge2": 142, "637292": 142, "18165": 142, "865728": 142, "nireti2": 142, "541310": 142, "cagag": 142, "13097": 142, "nazna": 142, "3276": 142, "cr2nb4si5": 142, "606503": 142, "au3ca3in": 142, "21027": 142, "cain2pt": 142, "13711": 142, "ca2cun2": 142, "984519": 142, "naasse2": 142, "5481": 142, "cona6s4": 142, "863744": 142, "auca2pd": 142, "8703": 142, "na3sbse4": 142, "1024048": 142, "na4zn3se5": 142, "5615": 142, "agcaa": 142, "29596": 142, "alca3n3": 142, "20289": 142, "innas2": 142, "540773": 142, "ca2ges4": 142, "28489": 142, "ca5ga2n4": 142, "10374": 142, "cr3ptn": 142, "33333": 142, "nasbse2": 142, "16068": 142, "29284": 142, "8983": 142, "5830": [142, 144], "na3ass3": 142, "542496": 142, "ag16ca6n": 142, "31153": 142, "captg": 142, "16916": 142, "ca6fen5": 142, "16771": 142, "cacr2s4": 142, "29645": 142, "cr4nb2si5": 142, "1028558": 142, "672194": 142, "cain4ni": 142, "28413": 142, "ga3na2sb3": 142, "21199": 142, "na3pt4ge4": 142, "17185": 142, "ca4pd4si3": 142, "16044": 142, "carh6as4": 142, "13464": 142, "cafe4sb12": 142, "570505": 142, "al2ca3n4": 142, "23704": 142, "alnah4": 142, "17964": 142, "14423": 142, "caga2s4": 142, "571162": 142, "ca3ga2n4": 142, "5055": 142, "mnna6s4": 142, "11164": 142, "ca11fe2n10": 142, "14780": 142, "mnna6se4": 142, "972275": 142, "reruti2": 142, "17625": 142, "cu4na2s3": 142, "977110": 142, "napd2sn": 142, "27335": 142, "alnasi": 142, "8842": 142, "capdsi": 142, "542138": 142, "ca3ni3si2": 142, "11350": 142, "al9caco2": 142, "28006": 142, "cacu4as2": 142, "13560": 142, "cav4s8": 142, "1024047": 142, "na6znse4": 142, "505522": 142, "972337": 142, "irti2w": 142, "542681": 142, "agin2na3": 142, "5486": 142, "cacu2si2": 142, "10223": 142, "na2pds2": 142, "22312": 142, "fenb4si": 142, "505443": 142, "fe2na3se4": 142, "541692": 142, "in2na2sb3": 142, "568950": 142, "1024052": 142, "3017": 142, "cona6se4": 142, "865681": 142, "ru2tisi": 142, "12433": 142, "nasnn": 142, "2949": 142, "cani2ge2": 142, "11417": 142, "cacr4s8": 142, "9071": 142, "na8tias4": 142, "7801": 142, "cagen2": 142, "24822": 142, "al3na5h14": 142, "29376": 142, "inna5s4": 142, "24119": 142, "ca2hn": 142, "985289": 142, "crnb3se6": 142, "9378": 142, "nasn2as2": 142, "867739": 142, "nb3ges6": 142, "8686": 142, "na3asse3": 142, "9407": 142, "5248": 142, "na5snas3": 142, "866883": 142, "19844": 142, "fe4nasb12": 142, "17577": 142, "570258": 142, "8530": 142, "camo6s8": 142, "15958": 142, "nb3vs6": 142, "18142": 142, "al10cacr2": 142, "4276": 142, "napd3si2": 142, "21547": 142, "inna3sb2": 142, "864948": 142, "gamnpt2": 142, "976326": 142, "ag2inna": 142, "18104": 142, "na2s5si2": 142, "690785": 142, "na2pth6": 142, "28773": 142, "ga2na4s5": 142, "11744": 142, "36582": 142, "7263": 142, "cagan": 142, "21934": 142, "in9pb4s17": 142, "866826": 142, "977410": 142, "fe2ganb": 142, "864669": 142, "nbru2g": 142, "561456": 142, "fena3s3": 142, "22396": 142, "nb4nisi": 142, "861935": 142, "carh2sn": 142, "11278": 142, "29808": 142, "ca4gen4": 142, "10198": 142, "mn3pdn": 142, "30252": 142, "cana10sn12": 142, "11537": 142, "alnbru2": 142, "9437": 142, "fenbsb": 142, "20846": 142, "cain2ir": 142, "568234": 142, "cana4sn6": 142, "541895": 142, "na2re3s6": 142, "31481": 142, "ca3ga3ir2": 142, "3539": 142, "ganbni2": 142, "5166": 142, "capd2as2": 142, "31480": 142, "ca3ga2pd2": 142, "3862": 142, "al2cage2": 142, "30039": 142, "al2na2sb3": 142, "505451": 142, "hns9": 142, "7937": 142, "nanbs2": 142, "570351": 142, "auna2sn3": 142, "16026": 142, "cati8s16": 142, "22613": 142, "fenb3s6": 142, "570689": 142, "cainpt": 142, "20133": 142, "crnbn": 142, "504835": 142, "nbnias2": 142, "16992": 142, "ag3nas2": 142, "972328": 142, "irrhti2": 142, "23918": 142, "ganah4": 142, "5056": 142, "mn2s4si": 142, "21096": 142, "camnsi": 142, "504898": 142, "nb2pd3se8": 142, "554993": 142, "16439": 142, "29175": 142, "auca2n": 142, "3927": 142, "aucaa": 142, "35269": 142, "ca4ssb2": 142, "15208": 142, "ganb4se8": 142, "9586": 142, "nbsns2": 142, "13994": 142, "866503": 142, "3173": 142, "4744": 142, "cani2as2": 142, "13512": 142, "canige2": 142, "31453": 142, "nbrhsb": 142, "865888": 142, "ru2snti": 142, "11176": 142, "ca3ir4si4": 142, "9916": 142, "crnbsi": 142, "1018658": 142, "cacosi": 142, "11959": 142, "carhsn2": 142, "29069": 142, "cu4nas4": 142, "1024070": 142, "na4zn3s5": 142, "29809": 142, "ca2gen2": 142, "5306": 142, "crnb4s8": 142, "567485": 142, "au3caga": 142, "21779": 142, "cacug": 142, "865807": 142, "irmoti2": 142, "1018022": 142, "1024067": 142, "571034": 142, "cacu9sn4": 142, "3138": 142, "na8snsb4": 142, "21710": 142, "aucag": 142, "861950": 142, "auca2sb": 142, "3925": 142, "co2cus4": 142, "542680": 142, "auin2na3": 142, "35869": 142, "nbtin2": 142, "22152": 142, "fenaa": 142, "23850": 142, "19746": 142, "nbpbs2": 142, "4368": 142, "pdsbse": 142, "1028514": 142, "20440": 142, "mnni2sn": 142, "1024051": 142, "16260": 142, "capd2ge2": 142, "642331": 142, "ca19in8n7": 142, "622375": 142, "27374": 142, "31479": 142, "ca3ga2pt2": 142, "23954": 142, "na2pdh2": 142, "28987": 142, "napt2se3": 142, "11430": 142, "ag2al7ca3": 142, "620571": 142, "cainpd": 142, "29309": 142, "h6ssi2": 142, "865465": 142, "co2vg": 142, "505351": 142, "fe2na3s4": 142, "31152": 142, "cagapt": 142, "31187": 142, "alfe2ti": 142, "865591": 142, "moniti2": 142, "604537": 142, "17875": 142, "ca6gan5": 142, "864992": 142, "mnnbru2": 142, "5292": 142, "cani2si2": 142, "865011": 142, "almn2nb": 142, "10373": 142, "cr3pdn": 142, "4813": 142, "alnbni2": 142, "4492": 142, "co2mnsi": 142, "984586": 142, "co4nb4si7": 142, "669554": 142, "mn3ni2si": 142, "866157": 142, "garh2ti": 142, "865026": 142, "mn2vsi": 142, "4478": 142, "11285": 142, "ca3ga4ni4": 142, "981365": 142, "reruv2": 142, "5149": 142, "alco2nb": 142, "21248": 142, "irnbsi": 142, "865278": 142, "alnbos2": 142, "18583": 142, "ni4ti4si7": 142, "3657": 142, "co2tisi": 142, "980649": 142, "nbru2ti": 142, "865048": 142, "ir2tizn": 142, "19963": 142, "fe2snti": 142, "865916": 142, "re2tiv": 142, "865280": 142, "alfe2nb": 142, "13967": 142, "cu4nb5si4": 142, "697126": 142, "ca4rh3h12": 142, "30570": 142, "crfe2ga": 142, "30657": 142, "gani2ti": 142, "505297": 142, "nbrusb": 142, "571215": 142, "ca2pd3sb4": 142, "30593": 142, "cu2nizn": 142, "10675": 142, "alti3n": 142, "1018803": 142, "971739": 142, "cupt2zn": 142, "9942": 142, "feti2s4": 142, "22811": 142, "cuinse2": 142, "10849": 142, "21141": 142, "cufe2ge2": 142, "568587": 142, "crcuse2": 142, "19804": 142, "co3in2s2": 142, "656253": 142, "1080559": 142, "au2ga2in": 142, "10381": 142, "cuk2sb": 142, "1071623": 142, "aucusn": 142, "1029605": 142, "mnna2n2": 142, "27769": 142, "v3asc": 142, "14206": 142, "ag3k3as2": 142, "1079343": 142, "cr3cge": 142, "554579": 142, "1095396": 142, "napd3ge2": 142, "1079845": 142, "mnnia": 142, "1100417": 142, "rhvsb": 142, "7494": 142, "ag4k2s3": 142, "570068": 142, "au4ksn6": 142, "21313": 142, "gamn3c": 142, "9201": 142, "au7k4ge2": 142, "1078627": 142, "22035": 142, "fe2ks3": 142, "675476": 142, "k3snsb3": 142, "1029357": 142, "naznn": 142, "934092": 142, "1029610": 142, "ca3con3": 142, "11703": 142, "ks2sb": 142, "1025294": 142, "cdpd5a": 142, "1087488": 142, "inmos2": 142, "3829": 142, "cdsnas2": 142, "1025311": 142, "cdpt5a": 142, "1079695": 142, "v3gen": 142, "3871": 142, "snti2c": 142, "9273": 142, "au3k3sb2": 142, "981379": 142, "cdzn3s4": 142, "643245": 142, "k3mnh5": 142, "557629": 142, "571021": 142, "ink5pb8": 142, "5443": 142, "nb2snc": 142, "8147": 142, "k2pdas2": 142, "29861": 142, "k2mn3s4": 142, "1078326": 142, "ca2pd2g": 142, "3747": 142, "alti3c2": 142, "1077746": 142, "fetih": 142, "7421": 142, "kzna": 142, "20315": 142, "inti2c": 142, "9993": 142, "al2cds4": 142, "996161": 142, "alnb3c2": 142, "10271": 142, "co3znc": 142, "1094106": 142, "na2zn2s3": 142, "20325": 142, "inti3c": 142, "1029574": 142, "na5osn4": 142, "558973": 142, "1077994": 142, "pd5snsi": 142, "1095532": 142, "nivsi": 142, "1078093": 142, "cani5h": 142, "1029975": 142, "al2c3n6": 142, "865167": 142, "ca2cdpb": 142, "1079679": 142, "cdk2sn": 142, "569628": 142, "aucacd": 142, "1078811": 142, "nb2cge": 142, "977367": 142, "cdinrh2": 142, "17174": 142, "cu8k3s6": 142, "30161": 142, "cn4si2": 142, "1070099": 142, "caga2as2": 142, "861878": 142, "agcd2rh": 142, "1069604": 142, "captsi3": 142, "632787": 142, "611341": 142, "2930": 142, "mn3znc": 142, "18500": 142, "auk3sn4": 142, "1029257": 142, "rezn2n3": 142, "644486": 142, "alkh4": 142, "1017554": 142, "cdni3n": 142, "9957": 142, "v2cge": 142, "1080824": 142, "fenia": 142, "1078058": 142, "cr2tis4": 142, "27999": 142, "cuk5sb2": 142, "1029479": 142, "cain2n2": 142, "1096820": 142, "1079542": 142, "conia": 142, "676737": 142, "k9nb2as6": 142, "1029418": 142, "kn3si2": 142, "1029779": 142, "1079646": 142, "1066445": 142, "1065359": 142, "fegani2": 142, "1029633": 142, "casnn2": 142, "31097": 142, "861909": 142, "cdgarh2": 142, "863011": 142, "5251": 142, "ca4cn4": 142, "30402": 142, "au4ksn2": 142, "10161": 142, "kznsb": 142, "909802": 142, "1029469": 142, "snznn2": 142, "1029656": 142, "na6wn4": 142, "1029262": 142, "vzn2n3": 142, "15724": 142, "kna2sb": 142, "1079635": 142, "gamo2c": 142, "21134": 142, "au4in2k": 142, "1079224": 142, "v3asn": 142, "10046": 142, "v2asc": 142, "1064013": 142, "co2gav": 142, "1078054": 142, "rh3sn2s2": 142, "3481": 142, "ksna": 142, "4384": 142, "nb2cs2": 142, "1078183": 142, "1067664": 142, "863757": 142, "auk2sb": 142, "1078106": 142, "1080611": 142, "cain2ni": 142, "1029407": 142, "crnan2": 142, "7077": 142, "auk": 142, "1068653": 142, "cairsi3": 142, "865548": 142, "co2inti": 142, "640163": 142, "co2w4c": 142, "1025497": 142, "alv2c": 142, "675830": 142, "cu5fes4": 142, "541989": 142, "na2cn2": 142, "865929": 142, "cd2ptrh": 142, "30493": 142, "cdpt2zn": 142, "1068250": 142, "cafe2si2": 142, "4366": 142, "na2ptc2": 142, "18021": 142, "mo5cge3": 142, "974713": 142, "k2pth4": 142, "541878": 142, "k2ge2s5": 142, "1079908": 142, "ti2csi": 142, "562634": 142, "1078026": 142, "1095536": 142, "nivg": 142, "3732": 142, "917343": 142, "1068053": 142, "agca2pd2": 142, "1096809": 142, "697076": 142, "ti3zn3c": 142, "1029506": 142, "31471": 142, "au5k3pb": 142, "1029921": 142, "al3ca3n5": 142, "28810": 142, "na2cs3": 142, "1068300": 142, "cafe2as2": 142, "1029269": 142, "mozn2n3": 142, "569408": 142, "co2kas2": 142, "22706": 142, "mn3cge": 142, "554575": 142, "1070152": 142, "caco2si2": 142, "20389": 142, "cdna2pb": 142, "12178": 142, "cr5ks8": 142, "1029458": 142, "crzn2n3": 142, "9673": 142, "k2nias2": 142, "1095673": 142, "cocrsi": 142, "13459": 142, "cdnasb": 142, "1029532": 142, "8713": 142, "k2mns2": 142, "1001159": 142, "568695": 142, "cacdsn": 142, "19835": 142, "innb2c": 142, "991664": 142, "1095040": 142, "feva": 142, "22793": 142, "alfe3c": 142, "1079641": 142, "crtia": 142, "1080056": 142, "12079": 142, "co2ks2": 142, "1029569": 142, "irna3n2": 142, "4026": 142, "crks2": 142, "1029681": 142, "ca4snn4": 142, "1080509": 142, "1080466": 142, "nb2pds6": 142, "1029258": 142, "cazn2n2": 142, "1068484": 142, "608662": 142, "1029943": 142, "ca3gan3": 142, "5928": [142, 144], "1077240": 142, "554676": 142, "1079193": 142, "cuni2ti": 142, "695998": 142, "k2znh4": 142, "29804": 142, "995201": 142, "ti5csi3": 142, "5798": 142, "al6c3n2": 142, "1079546": 142, "ganb2c": 142, "569458": 142, "alv4c3": 142, "1095505": 142, "ti3c2g": 142, "991900": 142, "1078005": 142, "cu4ksb2": 142, "983602": 142, "ag2aucd": 142, "3827": 142, "feks2": 142, "1078304": 142, "alca2pd2": 142, "5745": 142, "14434": 142, "k3ges3": 142, "922991": 142, "cr2cge": 142, "1096880": 142, "capbzn": 142, "1094043": 142, "inti5s8": 142, "8965": 142, "k2sn2s5": 142, "20860": 142, "mn3snc": 142, "28766": 142, "k2tis3": 142, "30533": 142, "kpt2s3": 142, "30492": 142, "cdna2sn": 142, "1095573": 142, "conbsi": 142, "16290": 142, "ni3znc": 142, "19768": 142, "nirha": 142, "12537": 142, "gati2c": 142, "7642": 142, "agk2a": 142, "1078896": 142, "ga2mn2s5": 142, "996162": 142, "alnb2c": 142, "1064854": 142, "1079890": 142, "al2cuir": 142, "9911": 142, "k3s4sb": 142, "669355": 142, "fe2mo4c": 142, "9988": 142, "5496": 142, "al5c3n": 142, "1029444": 142, "cokn": 142, "1068464": 142, "1070713": 142, "inni3n": 142, "1072794": 142, "1079768": 142, "pdti2h": 142, "3103": 142, "alnb4c3": 142, "1078362": 142, "alca2pt2": 142, "560807": 142, "29826": 142, "zncn2": 142, "18093": 142, "al2mo3c": 142, "504498": 142, "cdk2pb": 142, "1079184": 142, "20983": 142, "inv2c": 142, "9781": 142, "991434": 142, "1078750": 142, "canah3": 142, "867260": 142, "agcdpd2": 142, "1064606": 142, "861877": 142, "cdrh2sn": 142, "1078064": 142, "au4cacd2": 142, "1094088": 142, "conbsn": 142, "24428": 142, "kh2n": 142, "912418": 142, "991520": 142, "1029595": 142, "na3osn2": 142, "1018051": 142, "ktis2": 142, "10408": 142, "k2cn2": 142, "1096832": 142, "al4zns7": 142, "866010": 142, "au2cacd": 142, "27677": 142, "cu4ks3": 142, "1029542": 142, "mona6n4": 142, "867331": 142, "au5ink3": 142, "21847": 142, "kmna": 142, "1029334": 142, "zn2n3sb": 142, "1078008": 142, "703527": 142, "ch2n2": 142, "1066921": 142, "22199": 142, "in5ks8": 142, "1069824": 142, "ca2cdpt2": 142, "642736": 142, "k3pdh5": 142, "1078703": 142, "nazn4as3": 142, "9956": 142, "alcr2c": 142, "4953": 142, "cdas2g": 142, "1078963": 142, "gav3n": 142, "1095061": 142, "nbresi": 142, "570936": 142, "au3ksn3": 142, "5659": 142, "ti3c2si": 142, "1078274": 142, "ca2snge2": 142, "642821": 142, "k3pth5": 142, "34127": 142, "k2naa": 142, "1029737": 142, "ca4vn4": 142, "634855": 142, "696983": 142, "gakh4": 142, "912440": 142, "16246": 142, "aucdsb": 142, "18383": 142, "k3nbs4": 142, "1091390": 142, "capt2ge2": 142, "510484": 142, "cani4sn2": 142, "865076": 142, "cd2napt": 142, "976289": 142, "aucd2na": 142, "7430": 142, "cacd2sb2": 142, "31170": 142, "agaucd2": 142, "15687": 142, "15684": 142, "cuk2a": 142, "20661": 142, "pbti2c": 142, "1076973": 142, "tigesb": 142, "643279": 142, "k2pth6": 142, "30160": 142, "c2n4si": 142, "38011": 142, "555848": 142, "c3h8s2": 142, "17650": 142, "gaks2": 142, "991296": 142, "1094107": 142, "4452": 142, "cdga2s4": 142, "1070391": 142, "pdti2h2": 142, "10037": 142, "alco3c": 142, "24034": 142, "alk3h6": 142, "7378": 142, "cdnaa": 142, "1065753": 142, "17112": 142, "auk3ge4": 142, "12335": 142, "mncn2": 142, "1018072": 142, "1078240": 142, "auni3si6": 142, "861656": 142, "crirti2": 142, "28742": 142, "ca4ni3c5": 142, "1078578": 142, "cd4naas3": 142, "1018652": 142, "cdksb": 142, "1029677": 142, "in2c3n6": 142, "991428": 142, "co2fega": 142, "571461": 142, "k4znas2": 142, "1078107": 142, "8930": 142, "k2as2g": 142, "1072802": 142, "1029367": 142, "comnn2": 142, "991656": 142, "1029347": 142, "kptn": 142, "557643": 142, "10969": 142, "cdcn2": 142, "1029422": 142, "nbzn2n3": 142, "978595": 142, "c2h6si": 142, "1007637": 142, "knah2": 142, "4124": 142, "cacn2": 142, "1029466": 142, "nanin": 142, "1079313": 142, "v3cge": 142, "558518": 142, "kni2s2": 142, "556769": 142, "cok2s2": 142, "10261": 142, "ni2tisb": 142, "27970": 142, "cdk2n12": 142, "1070151": 142, "fe2ks2": 142, "1080033": 142, "nipdsi": 142, "1068941": 142, "k2pds2": 142, "1095240": 142, "ca3ir4ge4": 142, "7067": 142, "cacd2as2": 142, "569267": 142, "ca2cdsb2": 142, "28383": 142, "kna": 142, "1078077": 142, "crv2s4": 142, "1097716": 142, "559204": 142, "8608": 142, "cu4kas2": 142, "1095148": 142, "fetia": 142, "1080561": 142, "caga2ni": 142, "1078780": 142, "cd3zns4": 142, "3271": 142, "alti3c": 142, "652663": 142, "k2pts15": 142, "1078554": 142, "kna3h4": 142, "1029959": 142, "ca2mnn3": 142, "34232": 142, "krh2as2": 142, "558762": 142, "ksns2": 142, "971712": 142, "cdzns2": 142, "1069270": 142, "ni3znn": 142, "7794": 142, "1080835": 142, "gav2c": 142, "1029782": 142, "ca3w3n5": 142, "29585": 142, "cdk4as2": 142, "1080844": 142, "ca3mon3": 142, "1029313": 142, "narun": 142, "28340": 142, "capta": 142, "1029689": 142, "ca2mon3": 142, "7643": 142, "agk2sb": 142, "623089": 142, "cacdpb": 142, "20180": 142, "1029711": 142, "navn2": 142, "1069956": 142, "carh2si2": 142, "554907": 142, "1079248": 142, "k3nah4": 142, "1078428": 142, "ca2gapt2": 142, "974267": 142, "kh8n3": 142, "1078933": 142, "1068786": 142, "co3inn": 142, "1068286": 142, "ca2cdpd2": 142, "1078483": 142, "ca2pt2g": 142, "4091": 142, "mo3ni2n": 142, "1078280": 142, "ca2gapd2": 142, "510458": 142, "chn": 142, "619032": 142, "pbcn2": 142, "7938": 142, "knbs2": 142, "1029354": 142, "mnzn2n3": 142, "1029659": 142, "ca3fen3": 142, "1096810": 142, "1078247": 142, "861940": 142, "ca2cdsn": 142, "6984": 142, "k2as2si": 142, "1077935": 142, "cov2s4": 142, "7928": 142, "k2pts2": 142, "1077811": 142, "1029832": 142, "ca2nbn3": 142, "5131": 142, "1095180": 142, "ca2cdas2": 142, "9989": 142, "nb2asc": 142, "3797": 142, "k3ass4": 142, "1029719": 142, "1029915": 142, "ca2snn2": 142, "19821": 142, "14205": 142, "cu3k3as2": 142, "1095145": 142, "retisi": 142, "1017553": 142, "cdco3n": 142, "1029404": 142, "kge2n3": 142, "9961": 142, "cdti2c": 142, "1071278": 142, "aucasn": 142, "865926": 142, "cd2pdrh": 142, "991257": 142, "1094008": 142, "12990": 142, "alti2c": 142, "558452": 142, "862374": 142, "cdinpd2": 142, "1079035": 142, "mnpda": 142, "29374": 142, "gaksb4": 142, "1072589": 142, "1078000": 142, "cr2mns4": 142, "28695": 142, "kh3si": 142, "1065751": 142, "1094148": 142, "femn2ge5": 142, "21023": 142, "snti3c2": 142, "19727": 142, "643270": 142, "k3znh5": 142, "570079": 142, "1078049": 142, "1097021": 142, "1078387": 142, "cu3fes4": 142, "20197": 142, "cr2gac": 142, "866279": 142, "cacdpd2": 142, "4253": 142, "cr2vc2": 142, "23697": 142, "675576": 142, "fe2kas2": 142, "1079440": 142, "nipda": 142, "4593": 142, "almn3c": 142, "16258": 142, "cacdg": 142, "569102": 142, "al7c3n3": 142, "9958": 142, "ti2cg": 142, "634676": 142, "3078": 142, "cdas2si": 142, "1097000": 142, "641575": 142, "cr21w2c6": 142, "905565": 142, "643257": 142, "k2pdh4": 142, "18361": 142, "k7nbas4": 142, "1018736": 142, "cdka": 142, "30094": 142, "28347": 142, "al2k3as3": 142, "976876": 142, "k2ptc2": 142, "1079324": 142, "cr3asc": 142, "1079896": 142, "ca2ruh6": 142, "10063": 142, "cdsnsb2": 142, "9868": 142, "cu3ks2": 142, "15974": 142, "977453": 142, "ca2cdin": 142, "1079706": 142, "al2ti5c3": 142, "510619": 142, "fe3mo3n": 142, "1071127": 142, "ca2pd3g": 142, "1077883": 142, "in2rh3s2": 142, "1064170": 142, "1094108": 142, "1077470": 142, "canig": 142, "558778": 142, "11306": 142, "al13cu3s24": 142, "29373": 142, "alksb4": 142, "5712": 142, "cd2as4g": 142, "5151": [142, 153], "cd4ges6": 142, "18468": 142, "mn5csi": 142, "569886": 142, "in9kni2": 142, "505412": 142, "inks2": 142, "1029550": 142, "ca2crn3": 142, "654008": 142, "cr11k3s18": 142, "1079513": 142, "k2ptas2": 142, "7438": 142, "4800": 142, "ca11c2n10": 142, "541686": 142, "gak3s3": 142, "27749": 142, "k2s7sb4": 142, "1080452": 142, "cd4kas3": 142, "559200": 142, "cdin2s4": 142, "1029771": 142, "ca2ren3": 142, "28270": 142, "cuk": 142, "571263": 142, "co2in9k": 142, "567545": 142, "au4in6k": 142, "15415": 142, "gak2as2": 142, "3486": 142, "ksnsb": 142, "567524": 142, "ga3k3as4": 142, "18179": 142, "cd4s6si": 142, "1100332": 142, "8116": 142, "kmo3s3": 142, "3529": 142, "k3vs4": 142, "675137": 142, "cu4sn7s16": 142, "580480": 142, "ga27mn8zn14": 142, "17228": 142, "k2ni3s4": 142, "1029860": 142, "ca5ru2n6": 142, "17980": 142, "k2mos4": 142, "641573": 142, "cr21mo2c6": 142, "1094021": 142, "29784": 142, "k2mo9s11": 142, "28452": 142, "fe3w3n": 142, "1029899": 142, "ca5os2n6": 142, "4338": [142, 154], "cdcr2s4": 142, "17871": 142, "al8caco2": 142, "16036": 142, "ca5ti8s16": 142, "541810": 142, "k2ni12as7": 142, "ca5co2n4": 142, "5367": 142, "k5snsb3": 142, "1102115": 142, "conisi": 142, "1103085": 142, "crnisi": 142, "1102011": 142, "pdti2h3": 142, "1104825": 142, "ca2ni3ge2": 142, "1102860": 142, "1077915": 142, "hgpd5a": 142, "1102618": 142, "comna": 142, "1104215": 142, "ca2ni10h": 142, "1079106": 142, "1105435": 142, "cafe5as3": 142, "1100342": 142, "ca2sn3s8": 142, "1102086": 142, "nitia": 142, "1102660": 142, "cofesi": 142, "1118832": 142, "1104554": 142, "1103814": 142, "k5c3n6": 142, "14623": 142, "cuk5as2": 142, "1102658": 142, "nbnisi": 142, "1104735": 142, "1103248": 142, "irtisi": 142, "867335": 142, "28858": 142, "hgna2s2": 142, "1103879": 142, "29484": 142, "hgk4as2": 142, "20879": 142, "cahgpb": 142, "1103158": 142, "irtig": 142, "1103634": 142, "9635": 142, "ag2hgs2": 142, "1104841": 142, "1102532": 142, "nbrhge": 142, "1101789": 142, "caco2ga3": 142, "1101976": 142, "niva": 142, "1102925": 142, "fenbsi": 142, "1104194": 142, "1104259": 142, "865100": 142, "hg2inna": 142, "1078628": 142, "hgna2pb": 142, "1106177": 142, "ga3ni5sn2": 142, "1104097": 142, "co6tige6": 142, "1103705": 142, "fenisi": 142, "1102040": 142, "captsn": 142, "1105914": 142, "cakh3": 142, "1103534": 142, "kmo6s8": 142, "28859": 142, "hgk2s2": 142, "1103787": 142, "au2ni4si7": 142, "1019104": 142, "cahgsn": 142, "1102631": 142, "alcapt": 142, "1103722": 142, "al2pbs4": 142, "7906": 142, "al2hgs4": 142, "1103812": 142, "1103243": 142, "nbnia": 142, "1105715": 142, "tiges3": 142, "22356": 142, "hgin2s4": 142, "1105163": 142, "cupd2sn": 142, "1104366": 142, "niti4s8": 142, "866104": 142, "cacdhg2": 142, "1102833": 142, "osssb": 142, "1101995": 142, "nbnige": 142, "866943": 142, "977454": 142, "auhgpd2": 142, "1104462": 142, "al8cafe4": 142, "1103162": 142, "1103346": 142, "nbptge": 142, "1101109": 142, "ti2w3as4": 142, "1100772": 142, "ru2tiv": 142, "1104167": 142, "1100353": 142, "casn2s5": 142, "867201": 142, "cahg2in": 142, "17948": 142, "hg4s6si": 142, "1105097": 142, "coti4s8": 142, "1101795": 142, "conbg": 142, "1104951": 142, "1104677": 142, "cdmo6s8": 142, "1102195": 142, "1101813": 142, "cagasn": 142, "861501": 142, "aghgpd2": 142, "1103555": 142, "covg": 142, "1102042": 142, "1103046": 142, "cacdpt": 142, "1103166": 142, "cunb4si": 142, "1103728": 142, "kv5s8": 142, "1104381": 142, "nirh2s4": 142, "1103307": 142, "capbpt": 142, "1102284": 142, "pdssb": 142, "1103317": 142, "rhssb": 142, "1104271": 142, "1104377": 142, "inmo6s8": 142, "1102850": 142, "ptssb": 142, "1103984": 142, "1103996": 142, "1103434": 142, "russb": 142, "1104290": 142, "auti3h3": 142, "4809": 142, "ga2hgs4": 142, "1105327": 142, "cr5csi3": 142, "1105294": 142, "ca5pd6ge6": 142, "984704": 142, "agcahg2": 142, "1102443": 142, "865097": 142, "hgnapd2": 142, "1102168": 142, "co2niv": 142, "1104854": 142, "1104320": 142, "gati4s8": 142, "1101755": 142, "1100360": 142, "8435": 142, "pdta2s6": 142, "22493": 142, "au2ini": 142, "1013554": 142, "sr3np": 142, "1078100": 142, "cdpd5p": 142, "1025193": 142, "coga5hf": 142, "1080529": 142, "srtis3": 142, "867795": 142, "nbsctc2": 142, "1079714": 142, "hgp2si": 142, "7786": 142, "cscu3s2": 142, "1078053": 142, "fega2se4": 142, "568032": 142, "cdin2se4": 142, "1025380": 142, "cr2fete4": 142, "989557": 142, "tcyn3": 142, "28330": 142, "aucl7t": 142, "8580": 142, "carh2p2": 142, "1027696": 142, "mo2s3t": 142, "1071955": 142, "alps4": 142, "7432": 142, "cd2srsb2": 142, "10445": 142, "fesc6te2": 142, "675132": 142, "ink6p3": 142, "28701": 142, "css6sb": 142, "1101870": 142, "fetip": 142, "1078973": 142, "in2srp2": 142, "22434": 142, "fehfp": 142, "10763": 142, "hgksb": 142, "1030108": 142, "mow3te8": 142, "1104503": 142, "ga3rui": 142, "867923": 142, "gapt2sc": 142, "864639": 142, "nbosta2": 142, "29933": 142, "hf5pd9p7": 142, "12908": 142, "agscse2": 142, "1079508": 142, "cu2iny2": 142, "862423": 142, "pdsc2tc": 142, "1102705": 142, "gasrg": 142, "37808": 142, "scti9n9": 142, "10388": 142, "nb5pd4p4": 142, "1030155": 142, "mo3wte8": 142, "9789": 142, "caps3": 142, "23065": 142, "cscu2cl3": 142, "690799": 142, "ti2zrh4": 142, "1077722": 142, "ptsczn": 142, "1069520": 142, "cuzr2h2": 142, "1024974": 142, "ru3ysi2": 142, "542791": 142, "zrcln": 142, "1029878": 142, "mnsrn2": 142, "1095553": 142, "cotap": 142, "29400": 142, "csfecl3": 142, "1069533": 142, "hf2n2": 142, "31297": 142, "inptsc": 142, "9902": 142, "cosc2si2": 142, "865001": 142, "hfos2sc": 142, "1019259": 142, "hgsnsr": 142, "865499": 142, "ostcv2": 142, "7917": 142, "hfgese": 142, "28610": 142, "agcscl3": 142, "644229": 142, "al2srh2": 142, "510268": 142, "cs2pd3s4": 142, "1078547": 142, "pt2sny": 142, "1080526": 142, "fega2zr6": 142, "865038": 142, "hftatc2": 142, "9177": 142, "al3y2si2": 142, "20335": 142, "mnnbp": 142, "1102310": 142, "cohfg": 142, "8848": 142, "fetate3": 142, "1120779": 142, "inkse2": 142, "1103605": 142, "fevp": 142, "570971": 142, "ga3sr3n5": 142, "567220": 142, "hf2psb": 142, "862371": 142, "ptrusc2": 142, "12275": 142, "srznsb2": 142, "866163": 142, "inrh2i": 142, "1014251": 142, "hfznn2": 142, "1029750": 142, "rusr3n3": 142, "7880": 142, "ag2srsi2": 142, "20147": 142, "mnzrp": 142, "21340": 142, "hfptge": 142, "5129": 142, "co2ysi2": 142, "1095548": 142, "rhtap": 142, "20422": 142, "kmnp": 142, "1095449": 142, "hfmoge": 142, "19797": 142, "mnyge": 142, "977572": 142, "hf2mnrh": 142, "3804": 142, "ru2srp2": 142, "865655": 142, "nbtc2ti": 142, "865482": 142, "tc2vge": 142, "4824": 142, "naznp": 142, "998750": 142, "agkcl3": 142, "4404": 142, "ru2sras2": 142, "1105701": 142, "fe2hf3si3": 142, "28982": 142, "pb2pdcl6": 142, "1019277": 142, "hgpbsr": 142, "21447": 142, "conb4p": 142, "865234": 142, "ru2tazn": 142, "13963": 142, "hfsite": 142, "9550": 142, "mnscsi": 142, "4653": 142, "ir2ysi2": 142, "571313": 142, "hfcl12se2": 142, "1103749": 142, "cr6scge6": 142, "27260": 142, "alcscl4": 142, "540997": 142, "fecl7t": 142, "8753": 142, "hgk4p2": 142, "981312": 142, "cu2hgzr": 142, "28595": 142, "knase": 142, "3701": 142, "al8fe4sc": 142, "1029359": 142, "cahfn2": 142, "3668": 142, "cdgep2": 142, "1102855": 142, "irscg": 142, "1077979": 142, "inpd5s": 142, "13620": 142, "ir3scsi7": 142, "12843": 142, "cuys2": 142, "11869": 142, "hfpdsn": 142, "16790": 142, "ti2ys4": 142, "11113": 142, "tiast": 142, "581707": 142, "au2inzr": 142, "690794": 142, "sr2hn": 142, "989624": 142, "tin3p": 142, "1102869": 142, "irzrsi": 142, "1078402": 142, "pdscge": 142, "28293": 142, "sncl9p": 142, "643010": 142, "cs2pth4": 142, "8468": 142, "pd2srsb2": 142, "1029316": 142, "na2zrn2": 142, "510052": 142, "hf5in4rh2": 142, "676038": 142, "ga5p3s3": 142, "1029309": 142, "hfna2n2": 142, "11719": 142, "k4znp2": 142, "7524": 142, "nbpse": 142, "29397": 142, "ptsite": 142, "865503": 142, "ag2cdi": 142, "973434": 142, "hf2irru": 142, "862369": 142, "irrusc2": 142, "582444": 142, "oscl12se2": 142, "643005": 142, "cs3pth5": 142, "976892": 142, "mo3nate3": 142, "865091": 142, "hfmnrh2": 142, "9025": 142, "auysi": 142, "10748": 142, "cu3tas4": 142, "1101950": 142, "ptsbse": 142, "643006": 142, "cs3pdh5": 142, "571310": 142, "inpt2zr": 142, "35152": 142, "rhsr2h5": 142, "972899": 142, "gairsc2": 142, "977425": 142, "crruta2": 142, "674456": 142, "zr10hn8": 142, "1102537": 142, "nbvp": 142, "27126": 142, "mn3na2cl8": 142, "1078411": 142, "au2sn2sr": 142, "867117": 142, "cuptsc2": 142, "18686": 142, "cr5zrp3": 142, "1103910": 142, "fe6ga6zr": 142, "1104240": 142, "ga9pt2y3": 142, "6919": 142, "auscsn": 142, "977582": 142, "rh2znzr": 142, "11360": 142, "cu2gasc": 142, "1078597": 142, "cd3znse4": 142, "1029686": 142, "ossr3n3": 142, "1101119": 142, "1027358": 142, "972120": 142, "ga2sras2": 142, "18059": 142, "mnzrsi2": 142, "21875": 142, "co4gay4": 142, "1101055": 142, "intas2": 142, "979264": 142, "rhcl3te6": 142, "867821": 142, "mn2tati": 142, "28792": 142, "cl11n3p4": 142, "1030732": 142, "moset": 142, "28283": 142, "csticl3": 142, "1102926": 142, "cogai": 142, "1103265": 142, "cu4y3ge4": 142, "643243": 142, "cs2pth6": 142, "867916": 142, "gair2sc": 142, "31081": 142, "al8mn4sc": 142, "1103067": 142, "feps": 142, "1068813": 142, "k2pdte2": 142, "1102138": 142, "cotip": 142, "998613": 142, "kcl3ge": 142, "1105077": 142, "al8fe4zr": 142, "1078751": 142, "na2pdse2": 142, "1103608": 142, "pdzrge": 142, "1025165": 142, "ga4v2zr": 142, "4425": 142, "pt3ta2se8": 142, "1113496": 142, "cs3cl6sb": 142, "989625": 142, "srwn3": 142, "14790": 142, "as2gete4": 142, "571471": 142, "conbte2": 142, "977534": 142, "nbtc2zr": 142, "569344": 142, "co2zrsi2": 142, "10456": 142, "hfptsi": 142, "569824": 142, "wcl6te2": 142, "989609": 142, "wyn3": 142, "14244": 142, "pd2y3si3": 142, "1079167": 142, "hfrhge": 142, "8539": 142, "snsrp": 142, "27482": 142, "ag4p2s7": 142, "867788": 142, "gaos2ta": 142, "864939": 142, "cuhf2ir": 142, "4730": [142, 151], "ga2hgse4": 142, "9198": 142, "fep4si4": 142, "972183": 142, "gapd2zr": 142, "22295": 142, "cacu4p2": 142, "867901": 142, "sctatc2": 142, "1095207": 142, "oszrp": 142, "10739": 142, "rutip": 142, "1029396": 142, "hfsrn2": 142, "1079048": 142, "v3np": 142, "11445": 142, "ga4ti2i": 142, "1077854": 142, "pb2rh3se2": 142, "867850": 142, "mnrh2sc": 142, "571216": 142, "al2sr3ge4": 142, "862337": 142, "aginsc2": 142, "1095472": 142, "irzrg": 142, "1120803": 142, "k2srcl4": 142, "865928": 142, "pttcti2": 142, "1008874": 142, "comnt": 142, "20790": 142, "inps4": 142, "865023": 142, "hftc2sb": 142, "7431": 142, "srzn2sb2": 142, "1070613": 142, "ru2srsb2": 142, "9693": 142, "k2snse3": 142, "1095607": 142, "ptyge": 142, "1023129": 142, "cukcl3": 142, "505467": 142, "pdysi": 142, "16501": 142, "alhfpd2": 142, "4131": 142, "co2scsi2": 142, "865121": 142, "au2nasr": 142, "989651": 142, "hfse4t": 142, "1079080": 142, "cd4csas3": 142, "862790": 142, "fetc2si": 142, "1102650": 142, "cotasi": 142, "865588": 142, "curuy2": 142, "977543": 142, "inrh2zr": 142, "9384": 142, "au3css2": 142, "3553": 142, "aukt": 142, "867163": 142, "agptsr2": 142, "29300": 142, "cuga2cl8": 142, "865560": 142, "aly2zn": 142, "1080424": 142, "agscg": 142, "27280": 142, "mnna2cl4": 142, "30555": 142, "co2gata": 142, "989546": 142, "srtcn3": 142, "1106301": 142, "cusn3zr5": 142, "30108": 142, "au2pbp2": 142, "28797": 142, "yhse": 142, "555805": 142, "alcl7": 142, "28846": 142, "cotate2": 142, "505016": 142, "csmna": 142, "1029293": 142, "csvn2": 142, "865178": 142, "hf2irrh": 142, "1103227": 142, "cohfsi": 142, "4997": 142, "9379": 142, "sn2sras2": 142, "1120763": 142, "cs3vse4": 142, "7657": 142, "k3site3": 142, "675022": 142, "cspbcl3": 142, "29157": 142, "ptp2si3": 142, "1025365": 142, "ga4scv2": 142, "1095504": 142, "cuhfg": 142, "28557": 142, "ag2pdcl4": 142, "977545": 142, "tc2wzr": 142, "20533": 142, "in2ptsr": 142, "20985": 142, "pbtas2": 142, "4252": 142, "snps3": 142, "29154": 142, "cohf2p": 142, "1071230": 142, "pdzr2sb3": 142, "7909": 142, "al2cdte4": 142, "865519": 142, "ru2tai": 142, "3772": 142, "cdga2se4": 142, "864764": 142, "feosta2": 142, "865019": 142, "gahfrh2": 142, "12465": 142, "copd2te2": 142, "13949": 142, "cdga2te4": 142, "2894": 142, "561639": 142, "css2sb": 142, "1095584": 142, "862725": 142, "sctc2w": 142, "864897": 142, "cuoszr2": 142, "1096795": 142, "agys2": 142, "1030331": 142, "1025278": 142, "crv2te4": 142, "607475": 142, "co2in5zr4": 142, "28722": 142, "ptcl6s2": 142, "961687": 142, "pdsnzr": 142, "865174": 142, "cdhfrh2": 142, "1102452": 142, "fezrsi": 142, "867781": 142, "garu2ta": 142, "1103545": 142, "co6hfge6": 142, "1025239": 142, "cocr2te4": 142, "865094": 142, "hfnbtc2": 142, "972327": 142, "cooszr2": 142, "989586": 142, "1095261": 142, "coscg": 142, "982870": 142, "alhfir2": 142, "23049": 142, "kmncl3": 142, "979267": 142, "femota2": 142, "1079721": 142, "mnsrsb2": 142, "31169": 142, "ag2alsc": 142, "36577": 142, "sras2s4": 142, "30395": 142, "au2insc": 142, "866213": 142, "motc2ti": 142, "867249": 142, "alfe2ta": 142, "22506": 142, "cs6inas3": 142, "1095575": 142, "cu4sn4y3": 142, "8605": 142, "ptsrsb": 142, "505495": 142, "kn7p4": 142, "1029491": 142, "cocsn": 142, "22302": 142, "vzrp": 142, "9264": 142, "aunat": 142, "16763": 142, "kyte2": 142, "1102288": 142, "feast": 142, "1068891": 142, "cu2sn2sr": 142, "9569": 142, "cazn2p2": 142, "1087504": 142, "kzn4p3": 142, "1080815": 142, "rhsnzr": 142, "998554": 142, "29156": 142, "nata3n5": 142, "5538": 142, "pd2sny": 142, "972866": 142, "aupdsc2": 142, "974943": 142, "hftc2zr": 142, "22167": 142, "coga2zr6": 142, "27471": 142, "11366": 142, "cu2znzr": 142, "542826": 142, "pbsc2se4": 142, "989576": 142, "15987": 142, "cu4hf3si2": 142, "1104732": 142, "cuzr2si4": 142, "972879": 142, "aurusc2": 142, "28076": 142, "k3mn2cl7": 142, "1112173": 142, "aukcl3": 142, "867786": 142, "nbos2sc": 142, "1001022": 142, "cu2pd2p": 142, "1023959": 142, "983358": 142, "alfe2hf": 142, "16305": 142, "ruscp": 142, "1095684": 142, "inpdsr": 142, "5710": 142, "ag3aute2": 142, "13962": 142, "hfsesi": 142, "1101948": 142, "nbrhp": 142, "21316": 142, "irtasi": 142, "10991": 142, "cuyas2": 142, "28580": 142, "y2cl3n": 142, "1078140": 142, "in2mnse4": 142, "1078113": 142, "fe2vse4": 142, "1013588": 142, "sr3psb": 142, "998560": 142, "insncl3": 142, "985584": 142, "na3ps4": 142, "31459": 142, "cotasb": 142, "16769": 142, "cr2ys4": 142, "9570": 142, "cacd2p2": 142, "505554": 142, "fe2scsi2": 142, "27755": 142, "alkcl4": 142, "13542": 142, "zrgete4": 142, "7877": 142, "cu2srsi2": 142, "1095464": 142, "alpdi": 142, "1084775": 142, "ptscsn": 142, "10887": 142, "alcu2hf": 142, "3999": 142, "pt2ysi2": 142, "5821": 142, "agtas3": 142, "567736": 142, "pbtase2": 142, "13572": 142, "pt2scsi": 142, "21066": 142, "mntap": 142, "1025629": 142, "mo2wte6": 142, "8725": 142, "hfsns3": 142, "1078430": 142, "cuscg": 142, "973769": 142, "al16hf6os7": 142, "1079278": 142, "al2au2sr": 142, "9884": 142, "fekse2": 142, "675524": 142, "1013550": 142, "ca3psb": 142, "1102834": 142, "cocrp": 142, "7505": 142, "k2pdp2": 142, "1029799": 142, "sr4tin4": 142, "1078155": 142, "pt5snp": 142, "23034": 142, "srzncl4": 142, "1101753": 142, "rhzrp": 142, "19739": 142, "fe6scge6": 142, "20865": 142, "cupbi": 142, "16321": 142, "cusrp": 142, "28769": 142, "ksn2se4": 142, "867173": 142, "hg2insr": 142, "567657": 142, "cu2kse2": 142, "867127": 142, "ag2cdsc": 142, "15777": 142, "ga2znte4": 142, "866159": 142, "ru2yzr": 142, "1078469": 142, "cun2p": 142, "4666": 142, "cdp2si": 142, "29616": 142, "crcscl3": 142, "1095507": 142, "irsbs": 142, "1096927": 142, "cacscl3": 142, "10214": 142, "rh3y2g": 142, "866223": 142, "cahg2i": 142, "3208": 142, "zrgete": 142, "867168": 142, "ausr2sb": 142, "866221": 142, "hfrh2sn": 142, "3938": 142, "zrssi": 142, "22267": 142, "mn6yge6": 142, "1102976": 142, "1017567": 142, "13619": 142, "rh3scsi7": 142, "867120": 142, "almn2ta": 142, "1080816": 142, "cr3np": 142, "20001": 142, "ptsnsr": 142, "1120728": 142, "gacls": 142, "27961": 142, "cu4zr3si6": 142, "1025242": 142, "coga5sc": 142, "1102311": 142, "cu4sc3ge4": 142, "22332": 142, "974973": 142, "hfzn2zr": 142, "22191": 142, "fehfg": 142, "11486": 142, "al9co3y2": 142, "865522": 142, "au2cdi": 142, "998512": 142, "inpbcl3": 142, "5221": 142, "alco2hf": 142, "1103091": 142, "gahgcl4": 142, "862445": 142, "alos2ta": 142, "542096": 142, "crps4": 142, "1103642": 142, "agmo6se8": 142, "862365": 142, "ospdsc2": 142, "1078965": 142, "cs2pdsb2": 142, "1100415": 142, "rhzrsb": 142, "1102531": 142, "rhpse": 142, "977475": 142, "inpd2zr": 142, "22522": 142, "cuzrsi": 142, "30347": 142, "ag2insc": 142, "605028": 142, "pb2pd3te2": 142, "10872": 142, "alau2hf": 142, "638061": 142, "alincl4": 142, "570957": 142, "cssite3": 142, "998231": 142, "541047": 142, "alpd2zr": 142, "5038": 142, "csgas2": 142, "1101785": 142, "coyg": 142, "505198": 142, "cscu4se3": 142, "5756": 142, "cu3pse4": 142, "1079489": 142, "au2inzr2": 142, "28369": 142, "clgeh3": 142, "569006": 142, "rh2sras2": 142, "29342": 142, "ca3cl3p": 142, "7771": 142, "cd2sras2": 142, "998601": 142, "cakcl3": 142, "1025272": 142, "pt5znp": 142, "1103846": 142, "mo3nase3": 142, "1078782": 142, "coysi2": 142, "867156": 142, "garu2sc": 142, "862911": 142, "cotcti2": 142, "8932": 142, "cs2p2si": 142, "864684": 142, "hf2irmo": 142, "866094": 142, "cu2hfzn": 142, "1029330": 142, "hf2n2se": 142, "567366": 142, "cscucl3": 142, "21040": 142, "fe3zr2g": 142, "569823": 142, "ag2ini": 142, "10873": 142, "alau2sc": 142, "10368": 142, "cops": 142, "1077980": 142, "ag4srsb2": 142, "979291": 142, "os2tazn": 142, "36053": 142, "n3psi": 142, "1102664": 142, "fehf4p": 142, "972631": 142, "co12zr2p7": 142, "862712": 142, "coirsc2": 142, "865659": 142, "iry2zn": 142, "9463": 142, "zrgesb": 142, "7084": 142, "casrsi": 142, "542537": 142, "in2rhsr": 142, "862257": 142, "ausc2zn": 142, "21024": 142, "in2pdsr": 142, "20083": 142, "cuscsi": 142, "1070483": 142, "al2srge2": 142, "21001": 142, "ru2yge2": 142, "1095442": 142, "hfvp": 142, "15571": 142, "auk3se2": 142, "8267": 142, "kps3": 142, "1078002": 142, "989617": 142, "23037": 142, "613162": 142, "cssnse3": 142, "1078825": 142, "cd2pdsr": 142, "1102504": 142, "cowp": 142, "29163": 142, "ag2s3t": 142, "1104485": 142, "fe6ga6i": 142, "27319": 142, "co3sc2si": 142, "865504": 142, "ag2ali": 142, "9801": 142, "cohfa": 142, "1078849": 142, "caga2p2": 142, "1104926": 142, "sr2s4si": 142, "1101093": 142, "cszn4p3": 142, "10226": 142, "nays2": 142, "20731": 142, "hgin2se4": 142, "675647": 142, "hgmo6s8": 142, "961673": 142, "fetit": 142, "1014252": 142, "hf3znn": 142, "581024": 142, "csk2sb": 142, "972224": 142, "rhtage": 142, "1103293": 142, "oszrsi": 142, "22637": 142, "hfnbp": 142, "16930": 142, "na3gete3": 142, "21067": 142, "cu2insc": 142, "644431": 142, "cd2clp3": 142, "1104535": 142, "cuhf2si4": 142, "28842": 142, "h9psi3": 142, "867187": 142, "inir2sc": 142, "29152": 142, "cozr2p": 142, "8219": 142, "cu2zrp2": 142, "1096802": 142, "ag2gese3": 142, "570062": 142, "tizrse4": 142, "862702": 142, "aghgsc2": 142, "27898": 142, "alzr3n": 142, "1028761": 142, "wste": 142, "10245": 142, "cu4hf3si4": 142, "6953": 142, "camn2p2": 142, "8914": 142, "gasnsr": 142, "1013555": 142, "sr3asn": 142, "1080715": 142, "ruscsi": 142, "7916": 142, "hfssi": 142, "1079112": 142, "inpd2y2": 142, "1078010": 142, "coin5i": 142, "972966": 142, "auossc2": 142, "1025241": 142, "fega5sc": 142, "20192": 142, "hfmnsi": 142, "14983": 142, "rup4si4": 142, "3159": 142, "al2cdse4": 142, "504838": 142, "csps3": 142, "7422": 142, "cacu2p2": 142, "13275": 142, "nasrp": 142, "28782": 142, "1105749": 142, "rh2y3si3": 142, "865671": 142, "iny2zn": 142, "977568": 142, "pd2snzr": 142, "3210": 142, "caco2p2": 142, "1025876": 142, "mo3se4te2": 142, "977549": 142, "osruzr2": 142, "866051": 142, "fe2hfsn": 142, "1095491": 142, "cosni": 142, "1025690": 142, "w3s4te2": 142, "989645": 142, "1014204": 142, "sn5cl2s4": 142, "541609": 142, "ir3y2ge5": 142, "1104027": 142, "cr6yge6": 142, "14815": 142, "pttate5": 142, "10165": 142, "alkte2": 142, "8422": 142, "al2srse4": 142, "999139": 142, "hgtas2": 142, "3247": 142, "cs2tis3": 142, "1079688": 142, "cuhf4si4": 142, "1091395": 142, "oszrg": 142, "978854": 142, "ga2srh2": 142, "865517": 142, "rh2yzn": 142, "20256": 142, "ink3p2": 142, "28408": 142, "ktccl3": 142, "10163": 142, "alnate2": 142, "989613": 142, "20393": 142, "inpt2sr2": 142, "22483": 142, "innate2": 142, "35746": 142, "sry2s4": 142, "1079034": 142, "cdzn3se4": 142, "7785": 142, "cscu4s3": 142, "4861": 142, "cu2sras2": 142, "10955": 142, "hg2snse4": 142, "7436": 142, "cukt": 142, "30844": 142, "pt2scsn": 142, "867207": 142, "hgpbsr2": 142, "1025986": 142, "mo3s4te2": 142, "1101885": 142, "na2ps3": 142, "8736": [142, 147], "mo6srs8": 142, "637052": 142, "ga6hf3mn2": 142, "973066": 142, "rh2scge": 142, "972898": 142, "augasc2": 142, "1095059": 142, "998569": 142, "incl3g": 142, "1104488": 142, "cu4sn2sr": 142, "1103414": 142, "pdzrsi": 142, "3715": 142, "coget": 142, "1104473": 142, "cr5kse8": 142, "1102523": 142, "zn2n3p": 142, "7910": 142, "al2hgte4": 142, "1023948": 142, "977436": 142, "alru2zr": 142, "981539": 142, "hf2irpd": 142, "977550": 142, "os2sczr": 142, "1105859": 142, "csti5se8": 142, "8418": 142, "cozrp": 142, "973133": 142, "cupd2sc": 142, "574169": 142, "tigete6": 142, "1104561": 142, "al8fe4hf": 142, "30580": 142, "cu2gasr": 142, "1105775": 142, "ossc4cl4": 142, "542642": 142, "ksbse2": 142, "865165": 142, "co2hfsc": 142, "864878": 142, "alau2zr": 142, "1104686": 142, "au6cs4s5": 142, "16337": 142, "ga2hgte4": 142, "9843": 142, "al2sr3p4": 142, "961693": 142, "auinzr": 142, "1103310": 142, "nbrup": 142, "22275": 142, "ptsny": 142, "29529": 142, "nasnp": 142, "1104406": 142, "pt3sc2si2": 142, "10311": 142, "vzrge": 142, "989627": 142, "865650": 142, "rutcti2": 142, "23067": 142, "k2pdcl6": 142, "867769": 142, "rh2sczn": 142, "14659": 142, "kasse2": 142, "989638": 142, "catcn3": 142, "36641": 142, "cdga6te10": 142, "auks": 142, "15973": 142, "cr2hgs4": 142, "568405": 142, "k2nbcl6": 142, "1101959": 142, "rhzrge": 142, "1079155": 142, "al2hf6pt": 142, "980948": 142, "cain2sr": 142, "31510": 142, "cunbte2": 142, "991676": 142, "cu3nbte4": 142, "30317": 142, "ausr2n": 142, "981386": 142, "pd3sch4": 142, "862258": 142, "ptsc2zn": 142, "7420": 142, "hgka": 142, "1102059": 142, "fe3gazr2": 142, "22084": 142, "mn6zrge6": 142, "1078160": 142, "cocr2se4": 142, "1106288": 142, "zr5sb3se": 142, "864640": 142, "irnbta2": 142, "542772": 142, "agcscl2": 142, "7219": 142, "na2zrse3": 142, "756318": 142, "al2cocl8": 142, "27176": 142, "mnnacl3": 142, "12962": 142, "fezr6sb2": 142, "28716": 142, "crna2cl4": 142, "1072286": 142, "ausni": 142, "8203": 142, "zrp2s6": 142, "8126": 142, "cuysi": 142, "28177": 142, "nacl6sb": 142, "10379": 142, "cu4hf3ge2": 142, "1102314": 142, "fehfsi": 142, "977578": 142, "pdtczr2": 142, "867748": 142, "ru2scsn": 142, "862561": 142, "ru2scsb": 142, "9223": 142, "ruscg": 142, "12418": 142, "casrg": 142, "979713": 142, "hgpd2y": 142, "1101771": 142, "ossbs": 142, "1025187": 142, "cdpt5p": 142, "21491": 142, "co3gay3": 142, "1102841": 142, "hfirg": 142, "862362": 142, "ptsc2tc": 142, "1095502": 142, "cotag": 142, "1068157": 142, "cdpt2sr2": 142, "1102945": 142, "1102924": 142, "16977": 142, "mn2tip12": 142, "5213": 142, "cdsnp2": 142, "1079361": 142, "alcui": 142, "20492": 142, "rhscsi": 142, "1094105": 142, "na4znse3": 142, "1102132": 142, "crzrsi": 142, "867802": 142, "cuossc2": 142, "570591": 142, "cshgcl3": 142, "975897": 142, "hf2rhru": 142, "1104612": 142, "csmo3te3": 142, "16236": 142, "agks": 142, "14338": 142, "cs2pt3se4": 142, "1100408": 142, "rhsnta": 142, "865809": 142, "tc2tisb": 142, "1102565": 142, "cozrsi": 142, "21069": 142, "ruysi": 142, "7434": 142, "cunat": 142, "3006": 142, "pd3p2s8": 142, "1103123": 142, "cuzrg": 142, "978986": 142, "pd2srge2": 142, "977115": 142, "hg2nasr": 142, "11201": 142, "fesc6sb2": 142, "1101849": 142, "gapdi": 142, "9882": 142, "rh3y2si5": 142, "16792": 142, "mn2ys4": 142, "1103031": 142, "cohf4p": 142, "22451": 142, "morup": 142, "1078089": 142, "pb2pd3se2": 142, "972217": 142, "cutcti2": 142, "973141": 142, "cdcu2sc": 142, "866173": 142, "rhruy2": 142, "867761": 142, "corusc2": 142, "1077383": 142, "aucss": 142, "999448": 142, "nayse2": 142, "1103261": 142, "ptsesi": 142, "30908": 142, "ag3pse4": 142, "31263": 142, "in5cls5": 142, "571343": 142, "co2csse2": 142, "3043": 142, "14500": 142, "pt4sras6": 142, "9576": 142, "15963": 142, "hfrup": 142, "13918": 142, "au2srge2": 142, "866096": 142, "co2hfzn": 142, "1071862": 142, "alyzn": 142, "979751": 142, "fe2tati": 142, "862338": 142, "curusc2": 142, "28302": 142, "cdk4p2": 142, "28866": 142, "oscl12te2": 142, "20935": 142, "irsnzr": 142, "1103956": 142, "kmo3te3": 142, "21659": 142, "hf3nb2ge4": 142, "866156": 142, "garh2i": 142, "867897": 142, "ru2scta": 142, "983430": 142, "hfpt2zn": 142, "19792": 142, "fe4zrsi2": 142, "20892": 142, "fezrp": 142, "1080614": 142, "cs2ptsb2": 142, "21508": 142, "pbpd2y2": 142, "1071737": 142, "gayzn": 142, "863250": 142, "mn2tage": 142, "866219": 142, "hfru2sn": 142, "1079038": 142, "hfirsn": 142, "867137": 142, "ru2scv": 142, "675880": 142, "cu2snte3": 142, "1030393": 142, "8752": 142, "cdna4p2": 142, "7770": 142, "srzn2as2": 142, "1102732": 142, "hfwsi": 142, "tiysi": 142, "35663": 142, "in2srte4": 142, "1079822": 142, "hf2inpd2": 142, "1103172": 142, "cacdpd": 142, "1095427": 142, "cohfp": 142, "867507": 142, "fe2gata": 142, "29474": 142, "na2ti3cl8": 142, "1072944": 142, "cu4scsn": 142, "3167": 142, "hg2gese4": 142, "8211": 142, "gaget": 142, "867242": 142, "gasc2zn": 142, "23860": 142, "srclh": 142, "1104129": 142, "mo6snse8": 142, "16045": 142, "rh6sras4": 142, "1097709": 142, "cspb2cl5": 142, "1029275": 142, "srzrn2": 142, "1080646": 142, "1025302": 142, "hgpd5p": 142, "8695": 142, "mnpse3": 142, "861637": 142, "altcti2": 142, "571534": 142, "pt2sras2": 142, "10455": 142, "tiyg": 142, "1102382": 142, "31294": 142, "in3rh2sr2": 142, "11007": 142, "capse3": 142, "865131": 142, "hf2osrh": 142, "9710": 142, "sr2n8si5": 142, "637736": 142, "ruzrg": 142, "865514": 142, "au2sni": 142, "1080469": 142, "cuhfge2": 142, "865495": 142, "crtcv2": 142, "568673": 142, "ru2ysi2": 142, "2932": 142, "mo3y2si4": 142, "23033": 142, "sr2cln": 142, "1079643": 142, "mntage": 142, "19787": 142, "ru2srge2": 142, "27475": 142, "972970": 142, "rh2scsi": 142, "1104575": 142, "fe4ysi2": 142, "571038": 142, "hf4nbge4": 142, "1103150": 142, "morhp": 142, "9023": 142, "auscsi": 142, "972925": 142, "ausczn2": 142, "17095": 142, "cscuse4": 142, "1080233": 142, "cssrcl3": 142, "861908": 142, "ru2tati": 142, "1077939": 142, "crrh2te4": 142, "28024": 142, "pd2ysi": 142, "979414": 142, "573721": 142, "cs2as2si": 142, "1105752": 142, "cacd2pd": 142, "628726": 142, "al2srcl8": 142, "756473": 142, "865066": 142, "hfinrh2": 142, "1079246": 142, "cogazr": 142, "607990": 142, "co3hf2si4": 142, "1106022": 142, "rh3y2ge5": 142, "1095634": 142, "ruast": 142, "862747": 142, "auptsr2": 142, "16765": 142, "zr2pte2": 142, "11181": 142, "csmn2p2": 142, "1080467": 142, "cd4kp3": 142, "864672": 142, "nbtc2si": 142, "972877": 142, "alirsc2": 142, "11038": 142, "al2fezr6": 142, "19728": 142, "rhysi": 142, "571203": 142, "co2sras2": 142, "1101894": 142, "37091": 142, "al2srte4": 142, "867263": 142, "cdhg2sc": 142, "1106026": 142, "fega12y4": 142, "10312": 142, "hfvge": 142, "1104133": 142, "mo6nase8": 142, "1067925": 142, "ausrsi3": 142, "31080": 142, "alysi": 142, "1078860": 142, "au3srg": 142, "865501": 142, "rutcv2": 142, "1068587": 142, "irysi3": 142, "1102980": 142, "fenbp": 142, "865524": 142, "cdpt2y": 142, "23827": 142, "sr7cl2h12": 142, "977462": 142, "au2cdzr": 142, "1026020": 142, "864761": 142, "mnosta2": 142, "22036": 142, "pdzrsb": 142, "1103034": 142, "coscsi": 142, "10527": 142, "aly2si2": 142, "28201": 142, "pd5sr4p5": 142, "865587": 142, "curhy2": 142, "1106227": 142, "ga2sr3p4": 142, "510283": 142, "csgase3": 142, "19917": 142, "zrsite": 142, "1093991": 142, "irzra": 142, "29679": 142, "hg2cl2p": 142, "1104242": 142, "kmo3se3": 142, "1029655": 142, "sr3wn3": 142, "865000": 142, "hfir2sc": 142, "866117": 142, "au2hfzn": 142, "5031": 142, "taassi": 142, "1078231": 142, "ga2rh2sr": 142, "6926": 142, "capd2p2": 142, "6969": 142, "cu2scsi2": 142, "1071720": 142, "pdsczn": 142, "867915": 142, "co2gasc": 142, "1025213": 142, "inpt5p": 142, "580930": 142, "iryge2": 142, "1025315": 142, "al2mnte4": 142, "864947": 142, "rh2snzr": 142, "30834": 142, "pdsn3sr": 142, "569280": 142, "rh9y4si5": 142, "1080624": 142, "cuini": 142, "1104663": 142, "csmo3se3": 142, "9295": 142, "cu3tate4": 142, "6954": 142, "agsra": 142, "9687": 142, "auk2p": 142, "7376": 142, "al2sn2sr3": 142, "561242": 142, "1014244": 142, "znzrn2": 142, "977382": 142, "ruta2v": 142, "1103256": 142, "fesbs": 142, "20730": 142, "co2hfsn": 142, "1103036": 142, "coga8y2": 142, "28583": 142, "cl5nsi2": 142, "1102307": 142, "ruv3zr2": 142, "30208": 142, "cuyp2": 142, "20227": 142, "mnnap": 142, "866062": 142, "hfru2si": 142, "1077996": 142, "crrh2se4": 142, "1025258": 142, "pd5znp": 142, "867243": 142, "ossc2zn": 142, "30294": 142, "snsr2s4": 142, "867794": 142, "cuirsc2": 142, "1101887": 142, "cu4y3si4": 142, "3650": 142, "cu2hfte3": 142, "19953": 142, "cuzrsi2": 142, "865649": 142, "rhtcti2": 142, "977347": 142, "al3hf5n": 142, "573755": 142, "aucst": 142, "1025385": 142, "agpt5p": 142, "5671": 142, "co2srp2": 142, "1025371": 142, "cdpd5se": 142, "1028459": 142, "wsete": 142, "867110": 142, "coossc2": 142, "865525": 142, "cdhg2y": 142, "865002": 142, "carh2i": 142, "541997": 142, "fek3se3": 142, "16421": 142, "cuzr2sb3": 142, "1103379": 142, "cs2snse3": 142, "12783": 142, "cd2ga2sr": 142, "639910": 142, "ru4sn6i": 142, "1104894": 142, "cumo6se8": 142, "9225": 142, "ptscsi": 142, "864607": 142, "cdpd2zr": 142, "1105833": 142, "co7hf4ge6": 142, "864670": 142, "osta2v": 142, "23442": 142, "cdkcl3": 142, "1104872": 142, "cs3as2cl9": 142, "1025236": 142, "ga4scti2": 142, "19936": 142, "mn6scge6": 142, "fe6ga6sc": 142, "1095063": 142, "feyge2": 142, "644203": 142, "cacsh3": 142, "11580": 142, "crtip": 142, "29932": 142, "pd9zr5p7": 142, "7439": 142, "cu3k3p2": 142, "20618": 142, "co3y2si5": 142, "3779": 142, "crsite3": 142, "16234": 142, "ag3csse2": 142, "14791": 142, "as2ge2te5": 142, "862432": 142, "agirsc2": 142, "8235": 142, "k2p2si": 142, "1095628": 142, "pdsny": 142, "27462": 142, "3441": 142, "rh2ysi2": 142, "865669": 142, "tc2tisi": 142, "867768": 142, "pt2sczn": 142, "867216": 142, "feru2ta": 142, "4889": 142, "rh2yge2": 142, "991652": 142, "cu3vte4": 142, "568544": 142, "cdcscl3": 142, "1028604": 142, "989640": 142, "864650": 142, "osta2w": 142, "989530": 142, "1104960": 142, "cu4sc3si4": 142, "1102254": 142, "cs2gese3": 142, "1102184": 142, "gaptsc": 142, "9330": 142, "cdps3": 142, "30598": 142, "cusn2sr": 142, "861507": 142, "alir2sc": 142, "1078810": 142, "au2sc2sn": 142, "17597": 142, "casc2s4": 142, "864970": 142, "mntc2si": 142, "571453": 142, "k2sncl6": 142, "862261": 142, "rusc2zn": 142, "865998": 142, "gahfir2": 142, "10677": 142, "aucap": 142, "972882": 142, "agcdsc2": 142, "600125": 142, "cu2hfin": 142, "14796": 142, "kpt2se3": 142, "1025271": 142, "alpt5p": 142, "29988": 142, "cspd2cl5": 142, "961652": 142, "fezrsb": 142, "9549": [142, 147], "fescg": 142, "30661": 142, "gapd2sc": 142, "11754": 142, "ossc6te2": 142, "29549": 142, "h8p4si": 142, "3342": 142, "znps3": 142, "1095499": 142, "aucscl4": 142, "10098": 142, "auyg": 142, "1101841": 142, "osps": 142, "4668": 142, "co2kse2": 142, "30938": 142, "aups4": 142, "982188": 142, "fe4mn8i": 142, "867233": 142, "irsc2zn": 142, "10521": 142, "al2yge2": 142, "1013760": 142, "7365": 142, "au2srsi2": 142, "5376": 142, "ga12pdy4": 142, "1101809": 142, "cdsrge": 142, "7879": [142, 147], "ag2srge2": 142, "22489": 142, "cuhfsi": 142, "862379": 142, "agsc2tc": 142, "1104518": 142, "30177": 142, "al8cr4i": 142, "29882": 142, "cspdcl3": 142, "36381": 142, "snp2s6": 142, "569310": 142, "os2srp2": 142, "34293": 142, "cstan2": 142, "10667": 142, "agsrp": 142, "1025207": 142, "cr2tite4": 142, "21166": 142, "capbsr": 142, "675546": 142, "cr4cu3te8": 142, "21901": 142, "in4irsr": 142, "34126": 142, "cu4snp10": 142, "1080049": 142, "sn2srzn2": 142, "19991": 142, "in4pdsr": 142, "22061": 142, "inmo3te3": 142, "1095516": 142, "fe2kse3": 142, "573316": 142, "cspt2se3": 142, "10164": 142, "ganate2": 142, "24081": 142, "scclh": 142, "862324": 142, "gasc2tc": 142, "27178": 142, "hgps3": 142, "7363": 142, "srzn2ge2": 142, "7930": 142, "cu4zr3si2": 142, "865513": 142, "pd2ysb": 142, "1103938": 142, "fe6scsn6": 142, "22792": 142, "mnpdte": 142, "9692": 142, "k2gese3": 142, "1080486": 142, "1095073": 142, "865124": 142, "innasr2": 142, "864715": 142, "co2hfin": 142, "1100779": 142, "pt2znzr": 142, "864651": 142, "nbruta2": 142, "1079752": 142, "1103012": 142, "cota4p": 142, "862339": 142, "aggasc2": 142, "1018713": 142, "cuhfsn": 142, "973067": 142, "ga2rusc": 142, "34337": 142, "clh4n": 142, "3241": 142, "cu2srge2": 142, "864782": 142, "moruta2": 142, "574599": 142, "1080495": 142, "gaptzr": 142, "1070869": 142, "agcu4zr": 142, "643907": 142, "fezr2h5": 142, "22418": 142, "ir4sn4sr3": 142, "28174": 142, "pdcl6s2": 142, "505632": 142, "csfes2": 142, "1102520": 142, "mozrsi": 142, "998535": 142, "1102395": 142, "rusbs": 142, "12780": 142, "au2ga2sr": 142, "1029337": 142, "zr2n2se": 142, "973666": 142, "kv5se8": 142, "5597": 142, "cafe2p2": 142, "568592": 142, "1018720": 142, "hfvsi": 142, "862375": 142, "hgsc2tc": 142, "569978": 142, "19851": 142, "inkte2": 142, "1077453": 142, "22934": 142, "k2ptcl4": 142, "1025304": 142, "ga4ti2zr": 142, "3698": 142, "alsrsi": 142, "31454": 142, "rutasb": 142, "568402": 142, "pd2srsi2": 142, "20408": 142, "gainte2": 142, "7366": 142, "ag2sn2sr": 142, "8017": 142, "alcute2": 142, "1018726": 142, "16919": 142, "hfy2s5": 142, "1101971": 142, "1078242": 142, "alpd2i": 142, "31339": 142, "inpd2sc": 142, "1026356": 142, "w3se2te4": 142, "674984": 142, "cup3si2": 142, "16497": 142, "alcu2sc": 142, "27656": 142, "zn2p3s9": 142, "30676": 142, "ga3ti2zr3": 142, "669436": 142, "pdzra": 142, "13923": 142, "28419": 142, "k2se3t": 142, "4488": 142, "fe2sras2": 142, "674993": 142, "kpb2cl5": 142, "29138": 142, "aukse2": 142, "12806": 142, "cu2gete3": 142, "29135": 142, "cozr6as2": 142, "9386": 142, "au3csse2": 142, "20436": 142, "rhtasi": 142, "1078756": 142, "garhzr": 142, "1029838": 142, "crsrn2": 142, "1102006": 142, "cozr4p": 142, "1102174": 142, "in2pt8a": 142, "31438": 142, "yzrsb": 142, "567749": 142, "os2ysi2": 142, "1106085": 142, "nb2pds5": 142, "28651": 142, "cs2ircl6": 142, "676437": 142, "cops3": 142, "1100335": 142, "567583": 142, "cscl6sb": 142, "1102541": 142, "rh3ysi2": 142, "1028731": 142, "w2se3t": 142, "23538": 142, "fekcl3": 142, "22268": 142, "ruzrp": 142, "9587": 142, "motan": 142, "1079110": 142, "alhf3n": 142, "1102101": 142, "coscsn": 142, "5589": 142, "mn2srp2": 142, "542816": 142, "zr5sb3si": 142, "35906": 142, "ag3ycl6": 142, "10441": 142, "cu4sras2": 142, "16225": 142, "rhy3si3": 142, "12952": 142, "augahf": 142, "2960": [142, 147], "hfrhsn": 142, "7908": 142, "al2znte4": 142, "35220": 142, "hn2p": 142, "1105802": 142, "captge2": 142, "1025270": 142, "gapt5p": 142, "569813": 142, "agin5te8": 142, "1094079": 142, "aup": 142, "569149": 142, "k2cl6te": 142, "1079075": 142, "ga2pdi": 142, "867958": 142, "inru2ta": 142, "1007685": 142, "1111174": 142, "k3mocl6": 142, "1103869": 142, "cr5kte8": 142, "28069": 142, "ca3ascl3": 142, "13654": 142, "au3y3sb4": 142, "8755": 142, "knate": 142, "865876": 142, "ostcti2": 142, "1028589": 142, "864734": 142, "hfinpd2": 142, "541877": 142, "tacl9t": 142, "540569": 142, "cr5css8": 142, "961678": 142, "cosct": 142, "662549": 142, "cs2gete4": 142, "1104062": 142, "ga2srse4": 142, "865990": 142, "al7cu2y3": 142, "27899": 142, "cd3ascl3": 142, "16493": 142, "al2coi": 142, "17746": 142, "hfpdge": 142, "22258": 142, "hfmosi": 142, "862473": 142, "agrusc2": 142, "17667": 142, "alsr3sb3": 142, "12480": 142, "ptscp": 142, "998567": 142, "27632": 142, "k2tccl6": 142, "29304": 142, "iny2cl7": 142, "27449": 142, "gaclt": 142, "1026348": 142, "w3se4te2": 142, "1069811": 142, "hf2pdh2": 142, "1101621": 142, "541754": 142, "cu2tite3": 142, "8446": 142, "cuk2p": 142, "541312": 142, "as2ge3te6": 142, "977363": 142, "mota2tc": 142, "510426": 142, "pd3ta4te16": 142, "3291": 142, "agaute4": 142, "9325": 142, "mnsr3n3": 142, "696969": 142, "srh4n2": 142, "28107": 142, "na4ge2te5": 142, "14624": 142, "auk5p2": 142, "3576": 142, "co2gahf": 142, "998420": 142, "crkcl3": 142, "1105702": 142, "ga3nbzr4": 142, "865520": 142, "cdpd2y": 142, "28220": 142, "fehfcl6": 142, "1104337": 142, "sn6v6y": 142, "510441": 142, "inpt2i": 142, "1028869": 142, "w2ste3": 142, "568726": 142, "mocl12se2": 142, "865931": 142, "pdtcti2": 142, "27882": 142, "cs2cl6ge": 142, "7361": 142, "co2srge2": 142, "17092": 142, "pdscsn": 142, "21449": 142, "conbp": 142, "862543": 142, "alsc2tc": 142, "1025557": 142, "comop2": 142, "862446": 142, "alru2ta": 142, "862720": 142, "cdinsr2": 142, "1029733": 142, "al3sr3n5": 142, "574025": 142, "au2hfin": 142, "13472": 142, "hfrhsi": 142, "1027412": 142, "22625": 142, "cr2cute4": 142, "11029": 142, "al8cu4i": 142, "675954": 142, "ga3aste3": 142, "620190": 142, "v2p4s13": 142, "9788": 142, "srps3": 142, "1068167": 142, "pbsr2ge2": 142, "24292": 142, "rusr2h6": 142, "1087485": 142, "inpdi": 142, "10749": 142, "cusrsb": 142, "22307": 142, "rhscsi2": 142, "28875": 142, "hg2clp3": 142, "1106219": 142, "alpb3zr5": 142, "1078884": 142, "hfrusi": 142, "1018714": 142, "cugahf": 142, "30974": 142, "cswcl6": 142, "19740": 142, "inpti": 142, "676609": 142, "ga6snte10": 142, "1111173": 142, "ink3cl6": 142, "614572": 142, "ca3inp3": 142, "977049": 142, "co4hf4ge7": 142, "1103160": 142, "coscp": 142, "643706": 142, "cs3mnh5": 142, "23425": 142, "cs2pbcl6": 142, "1095185": 142, "cry2h6": 142, "675902": 142, "cuyse2": 142, "1104162": 142, "10457": 142, "hfpdsi": 142, "1102342": 142, "crhfsi": 142, "865805": 142, "co2tazn": 142, "27181": 142, "aukcl4": 142, "971914": 142, "ptsrsi": 142, "864974": 142, "cuhf2o": 142, "972323": 142, "nbtatc2": 142, "4964": 142, "ptysb": 142, "1095478": 142, "alpti": 142, "610190": 142, "co7in14zr9": 142, "567931": 142, "insite3": 142, "1120733": 142, "k2sns3": 142, "1023943": 142, "12557": 142, "cusra": 142, "28487": 142, "as2ge5te8": 142, "30253": 142, "na10sn12sr": 142, "9952": 142, "hf5znsb3": 142, "5193": 142, "srzrs3": 142, "29359": 142, "na2pdcl4": 142, "31191": 142, "co2sc3ge3": 142, "3390": 142, "cu2ysi2": 142, "1104378": 142, "al2srs4": 142, "1027683": 142, "623134": 142, "cu2inzr": 142, "9778": 142, "agk2p": 142, "7639": 142, "cuna2p": 142, "22227": 142, "mnzrsi": 142, "20249": 142, "comnp": 142, "573523": 142, "fe3sr8n8": 142, "980936": 142, "in4pd2y5": 142, "1079842": 142, "gahfrh": 142, "1017534": 142, "cdznse2": 142, "4343": 142, "mn2sras2": 142, "573891": 142, "ag4k2se3": 142, "5706": 142, "snpse3": 142, "675577": 142, "in2mnte4": 142, "1078104": 142, "cofe2se4": 142, "1105558": 142, "ca5cdcu2": 142, "977443": 142, "ru2zrg": 142, "973170": 142, "au2cdsc": 142, "1025375": 142, "coga5i": 142, "1112170": 142, "inkcl3": 142, "865600": 142, "irpdy2": 142, "1079325": 142, "1095513": 142, "aucdsr": 142, "28480": 142, "sc2cl2n": 142, "21656": 142, "fe2ta11se8": 142, "558760": 142, "9556": 142, "srznsi": 142, "1001793": 142, "cokcl3": 142, "20401": 142, "cuhfsi2": 142, "638729": 142, "cs2zrcl6": 142, "1106352": 142, "mona3cl6": 142, "21336": 142, "fetap": 142, "866166": 142, "pdruy2": 142, "867771": 142, "curh2ta": 142, "1105716": 142, "ptyge2": 142, "28175": 142, "pdcl6se2": 142, "1023941": 142, "mowte4": 142, "569247": 142, "fe2zrsi2": 142, "1102080": 142, "pdscsi": 142, "1079623": 142, "mntasi": 142, "862704": 142, "ptsczn2": 142, "984550": 142, "csgah4": 142, "978523": 142, "cusc2zn": 142, "8843": 142, "pdsrsi": 142, "1105799": 142, "fe2zr3si3": 142, "4899": 142, "aggate2": 142, "1095672": 142, "ta2v3si": 142, "1094066": 142, "agscs2": 142, "961649": 142, "fezrt": 142, "862370": 142, "pdrusc2": 142, "18594": 142, "k3asse3": 142, "1079323": 142, "hfossi": 142, "29692": 142, "k2s3te": 142, "1021494": 142, "cd5cl2s4": 142, "862372": 142, "rhrusc2": 142, "1102073": 142, "cdptsr": 142, "4524": 142, "zngep2": 142, "1005986": 142, "como4zr9": 142, "10697": 142, "rh2srge2": 142, "28968": 142, "nb3aste3": 142, "17291": 142, "na3site3": 142, "1103148": 142, "cozrg": 142, "608516": 142, "csgacl4": 142, "570837": 142, "csru2as2": 142, "29228": 142, "cssrn9": 142, "1095465": 142, "rhyge": 142, "21577": 142, "inna3p2": 142, "1078085": 142, "cs2pdcl4": 142, "567228": 142, "na2pse3": 142, "27514": 142, "fenacl4": 142, "13240": 142, "cu4insc": 142, "30971": 142, "cuclte2": 142, "8045": 142, "v5np3": 142, "1025252": 142, "cs2mncl4": 142, "29469": 142, "pdcl2se6": 142, "22386": 142, "aginte2": 142, "570370": 142, "867179": 142, "cdhg2sr": 142, "1105570": 142, "29568": 142, "rucl8s3": 142, "5122": 142, "alna3p2": 142, "989615": 142, "505034": 142, "cs2mns2": 142, "14444": 142, "hfp2s6": 142, "1026362": 142, "w3s2te4": 142, "7918": 142, "hfge": 142, "9382": 142, "4081": 142, "cu3tase4": 142, "29194": 142, "au2cs2se3": 142, "867373": 142, "co12ti2p7": 142, "865518": 142, "rh2sny": 142, "865592": 142, "ruy2zn": 142, "30644": 142, "ga3hf3nb2": 142, "13583": 142, "rusc2si2": 142, "1104699": 142, "nb5pbse8": 142, "1103353": 142, "gapti": 142, "1104000": 142, "cu6sr2p5": 142, "862431": 142, "agossc2": 142, "29736": 142, "alyg": 142, "5288": 142, "fe2ysi2": 142, "1018673": 142, "copdp": 142, "999136": 142, "intase2": 142, "27735": 142, "gacl6sb": 142, "31469": 142, "cuhf5sn3": 142, "570270": 142, "nbcl3se": 142, "3930": 142, "mnsc2s4": 142, "643923": 142, "cozr2h5": 142, "31233": 142, "ca4ir8p7": 142, "10359": 142, "co6zrge6": 142, "8276": 142, "srzn2p2": 142, "1095196": 142, "hfosg": 142, "11824": 142, "ca3np": 142, "29072": 142, "nb2site4": 142, "7792": 142, "scys3": 142, "1078419": 142, "na3pse4": 142, "18279": 142, "cuzr2ge4": 142, "15985": 142, "cu4zr3ge2": 142, "31457": 142, "ruzrsb": 142, "12906": 142, "crsr3n3": 142, "1113512": 142, "alcs3cl6": 142, "862723": 142, "mosctc2": 142, "675462": 142, "mo2ruse4": 142, "972957": 142, "ru2scti": 142, "510696": 142, "au7cs4sn2": 142, "867928": 142, "garh2sc": 142, "864671": 142, "alhfrh2": 142, "1023931": 142, "20144": 142, "crnbp": 142, "977537": 142, "cdrh2zr": 142, "867169": 142, "hgsnsr2": 142, "22444": 142, "feta4p": 142, "862334": 142, "irrhsc2": 142, "5603": 142, "1094098": 142, "1101075": 142, "co2y3ge4": 142, "7032": 142, "hfmop": 142, "865472": 142, "tc2vsi": 142, "672696": 142, "hf2nb3ge4": 142, "29607": 142, "agmo6te6": 142, "616615": 142, "hf8mnte6": 142, "505164": 142, "irnbte4": 142, "1100412": 142, "rutit": 142, "1025355": 142, "coga5zr": 142, "570340": 142, "agaucl4": 142, "567927": 142, "alptzr": 142, "1078257": 142, "hg2sn2sr": 142, "1103757": 142, "cu5sn2se7": 142, "1084767": 142, "inzr2n": 142, "675614": 142, "in12k2se19": 142, "1105693": 142, "zr5assb3": 142, "1026349": 142, "17042": 142, "ru12sc2p7": 142, "4822": 142, "pd2ysi2": 142, "1077351": 142, "cugazr": 142, "20832": 142, "in2znte4": 142, "17324": 142, "snzrs3": 142, "676284": 142, "agyse2": 142, "4500": 142, "nbzrp": 142, "17129": 142, "al2sr3n4": 142, "1030274": 142, "mo2ste3": 142, "541687": 142, "gak3se3": 142, "1029730": 142, "ca4hfn4": 142, "976184": 142, "co4hf4si7": 142, "22977": 142, "csvcl3": 142, "862703": 142, "agausc2": 142, "608555": 142, "cs2sncl6": 142, "1095419": 142, "crtap": 142, "3854": 142, "mn2ysi2": 142, "567278": 142, "srn8si6": 142, "31220": 142, "alsite3": 142, "17862": 142, "ag3ge5p6": 142, "571016": 142, "ksnse2": 142, "13089": 142, "7544": 142, "ruzrsi": 142, "972209": 142, "ta2tcw": 142, "972914": 142, "alcdsc2": 142, "33880": 142, "ga2srte4": 142, "21584": 142, "co2ta11se8": 142, "1030447": 142, "mo2sete3": 142, "1101606": 142, "30311": 142, "zn3p2s8": 142, "8857": 142, "cs2pdas2": 142, "1078677": 142, "ossr2h6": 142, "6931": 142, "al2srsi2": 142, "29770": 142, "mn4na3te6": 142, "7940": 142, "knbse2": 142, "615821": 142, "fe2ta9s6": 142, "27523": 142, "vcl9p": 142, "1029256": 142, "8716": 142, "k2mnse2": 142, "13203": 142, "cuscsn": 142, "1091398": 142, "agysi": 142, "1025378": 142, "fev2te4": 142, "972869": 142, "gaptsc2": 142, "1105373": 142, "ca5hp3": 142, "867362": 142, "in7k2sr": 142, "1103852": 142, "corh2s4": 142, "18163": 142, "cd4gese6": 142, "27776": 142, "cd2ascl2": 142, "5729": 142, "agsni": 142, "1104860": 142, "28020": 142, "alcucl4": 142, "9775": 142, "nasra": 142, "1106280": 142, "ca5sn3h": 142, "504741": 142, "fe2hfsi2": 142, "30652": 142, "ga6mn2sc3": 142, "29462": 142, "ga3nate5": 142, "31084": 142, "rhzrge2": 142, "18230": 142, "hg4se6si": 142, "567530": 142, "27830": 142, "cs2cl6se": 142, "978853": 142, "ir2srge2": 142, "21660": 142, "coga2hf": 142, "3839": 142, "cugate2": 142, "1025587": 142, "29246": 142, "972907": 142, "agalsc2": 142, "29187": 142, "cop3si3": 142, "14092": 142, "agalte2": 142, "1105840": 142, "nb3vse6": 142, "3299": 142, "fe2srp2": 142, "1102458": 142, "garhi": 142, "29136": 142, "cu3sr6n5": 142, "21505": 142, "agpbi": 142, "862486": 142, "alossc2": 142, "1079729": 142, "mnscge": 142, "1104078": 142, "mo6ys8": 142, "570990": 142, "cs2mocl6": 142, "1019279": 142, "snsrzn": 142, "1102373": 142, "iryg": 142, "1025161": 142, "inpd5p": 142, "27171": 142, "hg2p2s7": 142, "7191": 142, "gasr3n3": 142, "972187": 142, "ptzrsi": 142, "9782": 142, "ag3kse2": 142, "13202": 142, "cusni": 142, "23859": 142, "caclh": 142, "1079079": 142, "hfrua": 142, "1101069": 142, "crpse3": 142, "1104974": 142, "cr5inse8": 142, "1028492": 142, "w2s3te": 142, "1120741": 142, "cs2hfcl6": 142, "9743": 142, "pdsra": 142, "8221": 142, "ruzra": 142, "862699": 142, "os2scta": 142, "29566": 142, "csnage2": 142, "4538": 142, "sntas2": 142, "1113510": 142, "cs3gacl6": 142, "31456": 142, "hfrusb": 142, "18660": 142, "sc2srte4": 142, "1095603": 142, "yass": 142, "640158": 142, "fe16hf6si7": 142, "1105830": 142, "cuzr2h5": 142, "11694": 142, "cs2pd3se4": 142, "616026": 142, "insr3p3": 142, "3791": 142, "co2scsn": 142, "1104604": 142, "na2sn4sr": 142, "1111374": 142, "k3cl6sb": 142, "1080140": 142, "29828": 142, "cu2k2te5": 142, "20649": 142, "mn2yge2": 142, "867811": 142, "mnru2ta": 142, "865594": 142, "cuiry2": 142, "1025728": 142, "1102564": 142, "fe3sc2si": 142, "862336": 142, "irpdsc2": 142, "541622": 142, "cu3kte2": 142, "22147": 142, "hfpbs3": 142, "568628": 142, "cshg5cl11": 142, "574138": 142, "cs2aste3": 142, "1069057": 142, "co2srsi2": 142, "20381": 142, "gahfpd": 142, "1105654": 142, "ostisi": 142, "16336": 142, "fe3zr2si": 142, "653454": 142, "k2zncl4": 142, "567945": 142, "pdsnte": 142, "1025586": 142, "976220": 142, "cdhg2na": 142, "27788": 142, "tacl10p": 142, "1104955": 142, "nb5srse8": 142, "3704": 142, "cs2mn3se4": 142, "9856": 142, "cs2zrse3": 142, "28947": 142, "nasn2cl5": 142, "1101890": 142, "rups": 142, "1002123": 142, "kzrs2": 142, "865130": 142, "hf2morh": 142, "17287": 142, "irtate4": 142, "1087238": 142, "cu2sn2i": 142, "601326": 142, "sr6ge5n2": 142, "989513": 142, "31231": 142, "mo2sr5n7": 142, "8770": 142, "cocs2se2": 142, "864835": 142, "cohf2ir": 142, "12697": 142, "mn6scsn6": 142, "29432": 142, "nasccl4": 142, "541111": 142, "algacl4": 142, "29713": 142, "nbcl9te": 142, "1025296": 142, "pd5snp": 142, "23484": 142, "aucscl3": 142, "567558": 142, "1103718": 142, "alv4s8": 142, "27851": 142, "hg3cl2se2": 142, "8890": 142, "css4sb2": 142, "7198": 142, "srpse3": 142, "568880": 142, "inpd2i": 142, "19915": 142, "in2sr4n": 142, "1079772": 142, "cain2p2": 142, "557018": 142, "co2css2": 142, "19946": 142, "cu2ini": 142, "862635": 142, "rh2scsb": 142, "8507": 142, "pt4srp6": 142, "9462": 142, "csse3t": 142, "1095201": 142, "cuzrge2": 142, "1068235": 142, "irsrge3": 142, "1029349": 142, "y4n2se3": 142, "18642": 142, "cay2s4": 142, "1104053": 142, "675637": 142, "569779": 142, "pdscsb": 142, "1095253": 142, "ptscge": 142, "1079933": 142, "au2iny2": 142, "616461": 142, "na2zncl4": 142, "865010": 142, "gahfru2": 142, "542475": 142, "csfe2s3": 142, "977435": 142, "alrh2zr": 142, "864890": 142, "fehf2ir": 142, "976724": 142, "hfv2h4": 142, "978987": 142, "pdsrge3": 142, "1100962": 142, "504772": 142, "rh2y3si2": 142, "1024958": 142, "zrclh": 142, "1102524": 142, "in2pd8s": 142, "21625": 142, "co3ga9y2": 142, "17435": 142, "fe4zr4si7": 142, "27490": 142, "auclte2": 142, "569653": 142, "23397": 142, "mocl9p": 142, "979288": 142, "nbrhta2": 142, "571367": 142, "co2hfsi2": 142, "1079951": 142, "cona2se2": 142, "1103180": 142, "rutap": 142, "1078635": 142, "osscg": 142, "18138": 142, "k2wse4": 142, "1025301": 142, "gapd5p": 142, "621176": 142, "auini": 142, "637194": 142, "cs3sc2cl9": 142, "697139": 142, "1080463": 142, "hfosp": 142, "1025167": 142, "ga4hfv2": 142, "864916": 142, "hf2rhtc": 142, "12903": 142, "agyte2": 142, "20316": 142, "pbpse3": 142, "620369": 142, "ag7tas6": 142, "1105647": 142, "ircl3te6": 142, "28772": 142, "cl9ssb": 142, "22018": 142, "hfmn6ge6": 142, "8456": 142, "ptsra": 142, "1030721": 142, "865041": 142, "hfrh2sc": 142, "28497": 142, "crcs2cl4": 142, "1104929": 142, "fe4scsi2": 142, "558911": 142, "co3cs2s4": 142, "9383": 142, "1077589": 142, "1102843": 142, "femop": 142, "1101092": 142, "coin8y2": 142, "4755": 142, "fe2sc3si3": 142, "971837": 142, "cdznte2": 142, "1078645": 142, "coyge2": 142, "1104829": 142, "nb5snse8": 142, "28324": 142, "in2sr3p4": 142, "553875": 142, "zr2n2": 142, "998397": 142, "1078908": 142, "ca2cdp2": 142, "22529": 142, "auinsr": 142, "1078813": 142, "pdyzn": 142, "867327": 142, "hf2rutc": 142, "977541": 142, "hf2ostc": 142, "568450": 142, "alsrh5": 142, "1078200": 142, "cov2se4": 142, "18148": 142, "k3tas4": 142, "1028749": 142, "653120": 142, "ga2mnte4": 142, "10671": 142, "al2sr3ge2": 142, "2884": 142, "cs2mn3s4": 142, "29785": 142, "v6zr2sb9": 142, "28771": 142, "fesr2n2": 142, "10572": 142, "nan2p": 142, "1084838": 142, "pt2yge2": 142, "1079597": 142, "rhscge": 142, "30979": 142, "gaps4": 142, "29216": 142, "cs2ptcl4": 142, "28877": 142, "cs2snte4": 142, "567817": 142, "hfgete4": 142, "28192": 142, "aucl5": 142, "31347": 142, "inrhi": 142, "31072": 142, "rhsc6te2": 142, "672654": 142, "co16zr6ge7": 142, "1104042": 142, "sr2zn2as3": 142, "29022": 142, "k2gese4": 142, "1102366": 142, "rhsbse": 142, "1102525": 142, "568914": 142, "k2wcl6": 142, "1100346": 142, "31360": 142, "k2ta3cl9": 142, "867109": 142, "agsczn2": 142, "675163": 142, "cu2mncl4": 142, "30028": 142, "989407": 142, "568832": 142, "ru2yp2": 142, "20726": 142, "casnsr": 142, "18317": 142, "na5snp3": 142, "862378": 142, "ausc2tc": 142, "973142": 142, "pdsczn2": 142, "3038": 142, "al2hgse4": 142, "2994": 142, "co2ge3te3": 142, "11677": 142, "sr3as4si2": 142, "1078544": 142, "cu2insc2": 142, "1101867": 142, "cusnzr": 142, "643702": 142, "cs3znh5": 142, "867756": 142, "aucusc2": 142, "1027761": 142, "1030106": 142, "4897": 142, "pd2scsn": 142, "20497": 142, "in2irsr": 142, "865179": 142, "fehf2o": 142, "1095247": 142, "1029267": 142, "cazrn2": 142, "28224": 142, "hg2ascl2": 142, "22262": 142, "comop": 142, "662572": 142, "in2ta3cl9": 142, "14025": 142, "cuzr2s4": 142, "697977": 142, "alsr2h7": 142, "862629": 142, "pbrh2sc": 142, "4878": 142, "zrgese": 142, "570801": 142, "pt4y3ge6": 142, "1079716": 142, "co2ini": 142, "9797": 142, "ksb2se4": 142, "1101118": 142, "1104382": 142, "cr2gas4": 142, "3618": 142, "fesc2si2": 142, "38494": 142, "y4asse3": 142, "866114": 142, "hftc2w": 142, "505149": 142, "cr5csse8": 142, "27450": 142, "1028576": 142, "998561": 142, "1028594": 142, "867842": 142, "inrh2sc": 142, "865810": 142, "tc2tiw": 142, "1029773": 142, "ca2tan3": 142, "4628": 142, "zrsesi": 142, "675287": 142, "1112961": 142, "csincl3": 142, "976584": 142, "hf9mo4a": 142, "8436": 142, "pdta2se6": 142, "3312": 142, "cssb2se4": 142, "1080769": 142, "hfmnge": 142, "28080": 142, "k2snte5": 142, "862300": 142, "gaossc2": 142, "1105606": 142, "8768": 142, "cok2se2": 142, "685607": 142, "cstase3": 142, "8934": 142, "cs2snas2": 142, "1025649": 142, "560635": 142, "cs2mos4": 142, "21249": 142, "mnysi": 142, "18010": 142, "pd3ta2se8": 142, "1103520": 142, "cs2s3si": 142, "571609": 142, "gahfpt": 142, "867475": 142, "ru2snta": 142, "567197": 142, "1080665": 142, "irscp": 142, "1095522": 142, "865914": 142, "tc2tiv": 142, "998233": 142, "8621": 142, "k2ptse2": 142, "4520": 142, "cu2yge2": 142, "2977": 142, "agcute2": 142, "31362": 142, "na3ycl6": 142, "610955": 142, "12459": 142, "ag3ps4": 142, "5475": 142, "natan2": 142, "3807": 142, "973089": 142, "fe2scta": 142, "1106051": 142, "cu3y3sb4": 142, "607818": 142, "rhgete": 142, "18645": 142, "in4rh2sc5": 142, "972884": 142, "alcusc2": 142, "28189": 142, "fecl7s": 142, "643905": 142, "1095128": 142, "ostip": 142, "21374": 142, "cdin2te4": 142, "1026351": 142, "mow2te6": 142, "568603": 142, "in5clse5": 142, "504941": 142, "sc2v3si4": 142, "3385": 142, "pd2srp2": 142, "6987": 142, "7173": 142, "ptscsb": 142, "1101943": 142, "fetasi": 142, "18625": 142, "kpse6": 142, "8704": 142, "k3sbse4": 142, "541449": 142, "crgete3": 142, "3896": 142, "6961": 142, "1095369": 142, "ga4ir4sr3": 142, "31055": 142, "insc3n": 142, "862721": 142, "cdpbsr2": 142, "706272": 142, "fesr3n3": 142, "7280": 142, "pdp": 142, "1018084": 142, "agcrte2": 142, "1087487": 142, "fega2hf6": 142, "1028762": 142, "8432": 142, "cacup": 142, "6980": 142, "cuscs2": 142, "866025": 142, "cr5cste8": 142, "983362": 142, "fehf2tc": 142, "10896": 142, "al8mn4i": 142, "28064": 142, "cl3s8sb": 142, "1120730": 142, "cu4k3s4": 142, "29579": 142, "sc7cl12n": 142, "29419": 142, "hfcl6te4": 142, "569012": 142, "csrh2as2": 142, "1095563": 142, "irscsi": 142, "1079726": 142, "669387": 142, "rh7sr2p6": 142, "1105187": 142, "cups3": 142, "5244": 142, "ti2psb": 142, "12923": 142, "irsrp": 142, "1078938": 142, "al2pd5i": 142, "961697": 142, "auscg": 142, "1103821": 142, "cu5sn2te7": 142, "675801": 142, "knbcl6": 142, "8277": 142, "cd2srp2": 142, "867135": 142, "pd2sczn": 142, "980947": 142, "cahg2sr": 142, "1095664": 142, "cofep": 142, "27901": 142, "k4mncl6": 142, "7752": 142, "sr3nsb": 142, "28997": 142, "aly2ge3": 142, "22936": 142, "ca2cln": 142, "22945": 142, "rhclte": 142, "8966": 142, "k2sn2se5": 142, "3592": 142, "auks5": 142, "623814": 142, "fehf8te6": 142, "677072": 142, "cain2te4": 142, "28423": 142, "ga2se2t": 142, "21495": 142, "crfep": 142, "1025282": 142, "tiv2te4": 142, "11293": 142, "cdcu2zr": 142, "1102268": 142, "irysi": 142, "10286": 142, "kmnte2": 142, "862340": 142, "cugasc2": 142, "1102285": 142, "541875": 142, "k3snse3": 142, "1103848": 142, "mo6yse8": 142, "1103352": 142, "cuhf4p": 142, "865039": 142, "hfsntc2": 142, "8719": 142, "k2mnte2": 142, "1100873": 142, "10435": 142, "al2ysi2": 142, "28178": 142, "nanbcl6": 142, "1028526": 142, "1102840": 142, "alaui": 142, "1103176": 142, "ptysi": 142, "651582": 142, "31125": 142, "cr4zr2si5": 142, "1104810": 142, "ga2srs4": 142, "5929": 142, "na5p3si": 142, "610744": 142, "cs2mnte2": 142, "22775": 142, "ru4srsb12": 142, "27361": 142, "nbcl2se2": 142, "1097916": 142, "23392": 142, "cdk4cl6": 142, "9381": 142, "fezr6te2": 142, "1077599": 142, "alscg": 142, "18302": 142, "mn2mop12": 142, "1079559": 142, "cdpse3": 142, "504928": 142, "cu3nate2": 142, "29362": 142, "cugacl4": 142, "3934": 142, "cu3ps4": 142, "18193": 142, "csmo6te7": 142, "867774": 142, "crosta2": 142, "12972": 142, "ptzr6sb2": 142, "1077944": 142, "hgpd5se": 142, "7068": 142, "al2sr3si2": 142, "865746": 142, "gatc2w": 142, "5042": 142, "22701": 142, "fescsi": 142, "581716": 142, "au3in3sr": 142, "674465": 142, "865502": 142, "aghg2i": 142, "29598": 142, "nan7p4": 142, "1102487": 142, "ru6scp4": 142, "22007": 142, "csin5s8": 142, "1101982": 142, "covp": 142, "13160": 142, "yznge": 142, "862364": 142, "osptsc2": 142, "1027738": 142, "1103196": 142, "fetag": 142, "768613": 142, "mn6sn6zr": 142, "649419": 142, "pd3sr2p3": 142, "865138": 142, "hf2irmn": 142, "862711": 142, "cdinsc2": 142, "1025678": 142, "581733": 142, "cuzr4p": 142, "862376": 142, "cusc2tc": 142, "20843": 142, "inpd2sr2": 142, "4022": 142, "cozr2si2": 142, "20987": 142, "snyzn": 142, "985699": 142, "csv5s8": 142, "23513": 142, "k2ptcl6": 142, "607409": 142, "cuhf5pb3": 142, "561902": 142, "ag3css2": 142, "541911": 142, "hfcln": 142, "13666": 142, "tip2s6": 142, "1100809": 142, "cu2zrcl6": 142, "1080489": 142, "hfruge": 142, "11144": 142, "cu9srge4": 142, "568986": 142, "862623": 142, "rh2scsn": 142, "976257": 142, "kti5se8": 142, "28884": 142, "csfe2as2": 142, "1112983": 142, "cs3ascl6": 142, "7437": 142, "kznp": 142, "672652": 142, "co16ta6ge7": 142, "22261": 142, "cuinte2": 142, "1070557": 142, "pdzr2h2": 142, "22233": 142, "co4zr4ge7": 142, "1029387": 142, "tazn2n3": 142, "632693": 142, "in4rh2zr5": 142, "1104613": 142, "csv5se8": 142, "505515": 142, "cu2srsb2": 142, "23533": 142, "k2oscl6": 142, "12098": 142, "krh2p2": 142, "4549": 142, "srn2si": 142, "4578": 142, "sr2ges4": 142, "1095544": 142, "gapdsc": 142, "1102693": 142, "mozrg": 142, "676799": 142, "ag8gete6": 142, "1071645": 142, "cu4ini": 142, "18003": 142, "cscus4": 142, "1101311": 142, "867123": 142, "os2tati": 142, "20244": 142, "pbzrs3": 142, "1105851": 142, "cuhf5sb3": 142, "19765": 142, "hgin2te4": 142, "1106020": 142, "sn3zr5si": 142, "1103280": 142, "gairi": 142, "867896": 142, "cu2sczn": 142, "574112": 142, "al2ticl8": 142, "28022": 142, "cdna6cl8": 142, "4908": 142, "co2yge2": 142, "864909": 142, "alhfru2": 142, "867203": 142, "cdsr2as2": 142, "1103729": 142, "naas6ge6": 142, "23406": 142, "cs2ptcl6": 142, "979931": 142, "nbru2i": 142, "945184": 142, "cuyte2": 142, "570544": 142, "zrcl12se2": 142, "685969": 142, "1078746": 142, "fesr2h6": 142, "7781": 142, "cazrs3": 142, "22150": 142, "co2inzr2": 142, "8658": 142, "csnase": 142, "23414": 142, "sc4cl6n": 142, "1103510": 142, "15322": 142, "10911": 142, "al3rusc2": 142, "17801": 142, "cuhf2ge4": 142, "567913": 142, "aucsse3": 142, "864896": 142, "cotczr2": 142, "15842": 142, "co12nb2p7": 142, "753669": 142, "hfmn6sn6": 142, "1025185": 142, "cacs2cl4": 142, "541558": 142, "rh7sc4ge6": 142, "1078739": 142, "agysb2": 142, "1028690": 142, "1104965": 142, "ga8rh3y3": 142, "29035": 142, "28660": 142, "ca2cu6p5": 142, "16945": 142, "ga2sr3n4": 142, "12743": 142, "aucrte4": 142, "1001012": 142, "sc2zns4": 142, "8613": 142, "mnps3": 142, "561830": 142, "cocs2s2": 142, "573947": 142, "cs2mnse2": 142, "8677": 142, "tizrte4": 142, "23471": 142, "k2rucl6": 142, "672689": 142, "co16hf6si7": 142, "601253": 142, "768680": 142, "crp2s7": 142, "28995": 142, "cu4p8si": 142, "561710": 142, "cssns3": 142, "29428": 142, "tacl6te2": 142, "1025769": 142, "mo3s2te4": 142, "1006888": 142, "kys2": 142, "861662": 142, "carh2zr": 142, "1101988": 142, "femnp": 142, "981356": 142, "fe6zrge6": 142, "8977": 142, "ca2n3p": 142, "23499": 142, "3909": 142, "alco2zr": 142, "1100405": 142, "rhscte": 142, "570452": 142, "au2ysi2": 142, "865030": 142, "hfru2sc": 142, "1025386": 142, "hgpt5p": 142, "862311": 142, "garusc2": 142, "4678": 142, "alzr2n": 142, "19725": 142, "fe6hfge6": 142, "570173": 142, "865561": 142, "agruy2": 142, "17817": 142, "ca3ge2p4": 142, "5883": 142, "csmo6se7": 142, "561033": 142, "cscu5s3": 142, "976265": 142, "hf2ospd": 142, "21118": 142, "mn2srge2": 142, "865840": 142, "irtcti2": 142, "27828": 142, "cs2ticl6": 142, "862546": 142, "alrusc2": 142, "1101628": 142, "10533": 142, "22503": 142, "co2snzr": 142, "1069706": 142, "k2pdse2": 142, "1080760": 142, "8645": 142, "as4gete7": 142, "1025219": 142, "ti2vte4": 142, "867909": 142, "cdrh2sc": 142, "4370": 142, "pd2sras2": 142, "984872": 142, "7881": 142, "cd2srge2": 142, "1029580": 142, "sr4zrn4": 142, "1080518": 142, "1111151": 142, "k3ycl6": 142, "13992": 142, "cs2pt3s4": 142, "4656": 142, "al8fe4i": 142, "1018709": 142, "gahf2sb3": 142, "667294": 142, "ca5pd6p6": 142, "504630": 142, "inclt": 142, "22712": 142, "pbpd2y": 142, "1077378": 142, "csmnp": 142, "13311": 142, "alsrg": 142, "3663": 142, "gata4se8": 142, "10676": 142, "alsc2si2": 142, "862710": 142, "cdsc2tc": 142, "1111502": 142, "alk3cl6": 142, "1078162": 142, "ferh2se4": 142, "574485": 142, "cs4ga2se5": 142, "1102961": 142, "alcdcl4": 142, "864798": 142, "hfir2zn": 142, "20397": 142, "866088": 142, "cohf2tc": 142, "561682": 142, "csmo3s3": 142, "1104141": 142, "ga2pbse4": 142, "29849": 142, "ag3snp7": 142, "620812": 142, "ru3y2ge5": 142, "1071293": 142, "28591": 142, "hgna4p2": 142, "23026": 142, "27826": 142, "k2mocl6": 142, "5470": 142, "agps3": 142, "570326": 142, "11202": 142, "fey6sb2": 142, "1100868": 142, "12527": 142, "ti2pte2": 142, "12277": 142, "agcap": 142, "1070735": 142, "fe2kse2": 142, "1070375": 142, "cssncl3": 142, "3245": 142, "au3snp7": 142, "22304": 142, "23465": 142, "cs2cl6te": 142, "570031": 142, "cr2sras2": 142, "28721": 142, "ptcl8s2": 142, "1068239": 142, "ptsrge3": 142, "16600": 142, "3340": 142, "alco2ta": 142, "1105063": 142, "fe4zrp2": 142, "3123": 142, "pdpse": 142, "23396": 142, "mocl3n": 142, "560046": 142, "pt3ta2s8": 142, "23539": 142, "ksn2cl5": 142, "30147": 142, "tizra": 142, "1120750": 142, "gain3n4": 142, "1104024": 142, "cs2gese4": 142, "867149": 142, "cdsnsr2": 142, "1025344": 142, "cr2vte4": 142, "29089": 142, "sr2gen2": 142, "1025345": 142, "crti2te4": 142, "1104438": 142, "fe6ga6hf": 142, "1019087": 142, "22630": 142, "pbsc2s4": 142, "27585": 142, "k2zr7cl18": 142, "1013900": 142, "ticl": 142, "1102147": 142, "rh6scp4": 142, "634977": 142, "cs3fe2cl9": 142, "20521": 142, "inpt2sc": 142, "1014226": 142, "znzr3n": 142, "23363": 142, "alnacl4": 142, "4763": 142, "znp2si": 142, "998421": 142, "27664": 142, "ticl9p": 142, "672680": 142, "co16zr6si7": 142, "31363": 142, "k2tacl6": 142, "18105": 142, "agcsse4": 142, "570568": 142, "w2cl8n": 142, "989634": 142, "1095668": 142, "fetaa": 142, "569885": 142, "cs2tacl6": 142, "5142": 142, "ir2sn3te3": 142, "562726": 142, "csgas3": 142, "1105850": 142, "au2sny2": 142, "569532": 142, "cu2tip": 142, "27304": 142, "k2mncl6": 142, "510321": 142, "alsn3zr5": 142, "570951": 142, "568661": 142, "1103969": 142, "cr5nase8": 142, "30219": 142, "gakcl4": 142, "18135": 142, "co7zr4ge6": 142, "14435": 142, "k3gese3": 142, "607267": 142, "28361": 142, "al2cdcl8": 142, "510548": 142, "ga12pty4": 142, "10300": 142, "mozrp": 142, "22284": 142, "inptsr": 142, "504708": 142, "cocscl3": 142, "541570": 142, "srzrse3": 142, "1102023": 142, "hgpt2se3": 142, "1019280": 142, "pbsrzn": 142, "1101774": 142, "irsni": 142, "18198": 142, "31276": 142, "cd2cl2p": 142, "1102534": 142, "osp": 142, "1104155": 142, "ag3ga8y3": 142, "27852": 142, "hg3cl2te2": 142, "1029660": 142, "ca4zrn4": 142, "865164": 142, "cdcu2hf": 142, "1027682": 142, "mo2se3t": 142, "29850": 142, "na3ticl6": 142, "4667": 142, "1120716": 142, "cdhg3te4": 142, "10244": 142, "cu4zr3si4": 142, "662563": 142, "csfe2se3": 142, "augazr": 142, "675120": 142, "cu2site3": 142, "1078079": 142, "agpd5p": 142, "867922": 142, "alrh2sc": 142, "23434": 142, "al2cucl8": 142, "20199": 142, "pbps3": 142, "1030461": 142, "1079213": 142, "cuy2ge6": 142, "28865": 142, "oscl12s2": 142, "28339": 142, "captp": 142, "867911": 142, "cdpd2sc": 142, "1104117": 142, "cd4pt2sr": 142, "1030709": 142, "23418": 142, "hg3cl2s2": 142, "605735": 142, "in4pbsr3": 142, "569060": 142, "cs2pse5": 142, "31011": 142, "rhy2si2": 142, "1103603": 142, "5339": 142, "csnate": 142, "1102645": 142, "crzrp": 142, "1105559": 142, "gapd2i": 142, "4175": 142, "snznp2": 142, "973153": 142, "alpt2sc": 142, "27255": 142, "ga2s2t": 142, "1105973": 142, "30019": 142, "cu2zrte3": 142, "12961": 142, "15695": 142, "ptya": 142, "1028598": 142, "w2sete3": 142, "679983": 142, "csn7p4": 142, "570598": 142, "srn10si7": 142, "17989": 142, "k3ps4": 142, "862548": 142, "alsc2zn": 142, "27331": 142, "k3gete3": 142, "30557": 142, "co3ga2i": 142, "27394": 142, "674953": 142, "616481": 142, "fenbte2": 142, "14474": 142, "ptta2se7": 142, "13573": 142, "pt9sc5si7": 142, "1027642": 142, "1025733": 142, "mo3se2te4": 142, "1078168": 142, "cuin2se4": 142, "1105210": 142, "alausc": 142, "669325": 142, "wcl9te": 142, "17678": 142, "sc2srs4": 142, "1028755": 142, "557809": 142, "1001016": 142, "sc2znse4": 142, "5602": 142, "cr2hgse4": 142, "649033": 142, "in2sr5sb6": 142, "505633": 142, "cs2zn3s4": 142, "27787": 142, "nbcl10p": 142, "1104783": 142, "al2mns4": 142, "1100368": 142, "22315": 142, "cohfsn": 142, "607139": 142, "1112966": 142, "cs3sccl6": 142, "1111182": 142, "k3ascl6": 142, "28108": 142, "na4snte4": 142, "541236": 142, "hfna5as3": 142, "28126": 142, "k2gete4": 142, "866805": 142, "sn3srsb4": 142, "573581": 142, "na2se3t": 142, "989604": 142, "moyn3": 142, "637251": 142, "cs2se4si": 142, "29415": 142, "cd3cl3p": 142, "30701": 142, "fe2ga6sc3": 142, "505333": 142, "cohf5as3": 142, "3102": 142, "cutas3": 142, "15074": 142, "ir2srp2": 142, "29811": 142, "hf3pd4p3": 142, "977371": 142, "w4cl11p": 142, "21588": 142, "fe3sc2si5": 142, "572598": 142, "cs2ge2s5": 142, "29602": 142, "k2zrte3": 142, "1106245": 142, "alzr5sb3": 142, "542493": 142, "co4sc5si10": 142, "17538": 142, "k3sbse3": 142, "27172": 142, "cs3in2cl9": 142, "1103546": 142, "mn2znse4": 142, "18132": 142, "k4snse4": 142, "14928": 142, "mnsc2se4": 142, "27839": 142, "k2ticl6": 142, "567196": 142, "cs3cl9sb2": 142, "1029741": 142, "irsr3n3": 142, "540809": 142, "fe12zr2p7": 142, "866481": 142, "co2sn3te3": 142, "1112991": 142, "cs3incl6": 142, "571661": 142, "hgk2cl4": 142, "27570": 142, "csfecl4": 142, "569193": 142, "cs4p2se9": 142, "1028452": 142, "21756": 142, "in8rh2sr": 142, "1104125": 142, "cdy2se4": 142, "28435": 142, "fekcl4": 142, "18347": 142, "9306": 142, "sr2znn2": 142, "9910": 142, "k2pd3s4": 142, "569132": 142, "29073": 142, "nb2gete4": 142, "27786": 142, "as2cl13sb": 142, "23355": 142, "aucl4p": 142, "569952": 142, "cuk2cl3": 142, "30864": 142, "rh3sn5y2": 142, "984055": 142, "ca7cl2h12": 142, "27629": 142, "31207": 142, "gasn3zr5": 142, "17867": 142, "mn2nbp12": 142, "9007": 142, "na6wp4": 142, "1111164": 142, "k3sccl6": 142, "505206": 142, "ta3site6": 142, "646750": 142, "cupb3y5": 142, "1221790": 142, "mn2sete": 142, "1188794": 142, "co12mn5y2": 142, "1193834": 142, "ga16rh7ti6": 142, "1216848": 142, "fe4nbti": 142, "5137": 142, "zr2psb": 142, "1224377": 142, "al3cohf2": 142, "866160": 142, "agiry2": 142, "1187709": 142, "auy2zn": 142, "1187200": 142, "ruta2tc": 142, "1216659": 142, "1215490": 142, "alzr2si": 142, "1192831": 142, "1218053": 142, "cu2ta3s6": 142, "1103566": 142, "bi2k4zn": 142, "1220766": 142, "co3fenb2": 142, "1205841": 142, "bi2fey6": 142, "1216883": 142, "cutis2": 142, "1219521": 142, "irassb": 142, "1217381": 142, "cusn6ti10": 142, "1223781": 142, "gainas2": 142, "1207905": 142, "ruy2ge2": 142, "1228816": 142, "1207384": 142, "zrasg": 142, "1186768": 142, "feruta2": 142, "1224425": 142, "al3hf10si3": 142, "1215317": 142, "aloszr": 142, "978500": 142, "ostcsi2": 142, "1192761": 142, "cs2hgcl4": 142, "1218620": 142, "cdpbsr": 142, "1215386": 142, "ti2zr3si3": 142, "1216072": 142, "agga3y2": 142, "31383": 142, "bi2cohf6": 142, "1225136": 142, "fe2set": 142, "1187432": 142, "comoti2": 142, "1110883": 142, "1208576": 142, "cotaa": 142, "1221807": 142, "al2mn3v3": 142, "1226761": 142, "cdpbs2": 142, "1217254": 142, "ti20ge9sb3": 142, "1183608": 142, "ca2inzn": 142, "1184620": 142, "cocuhf2": 142, "1227014": 142, "cd2ga2se5": 142, "1206893": 142, "irsc6te2": 142, "1224481": 142, "alcuhf": 142, "1207417": 142, "crzr5sb2": 142, "1207788": 142, "co4y5ge10": 142, "1183556": 142, "cacd2i": 142, "1207723": 142, "co6ga6i": 142, "1191223": 142, "sns7sb4": 142, "1228792": 142, "ptasp": 142, "1221669": 142, "comnsi2": 142, "1216148": 142, "al6fe6i": 142, "1220523": 142, "aunb3zn": 142, "1218268": 142, "cusrsi": 142, "1184648": 142, "fe2hfzr": 142, "1216136": 142, "alco3y2": 142, "1217088": 142, "alcrti": 142, "1189066": 142, "y5hsi3": 142, "1220482": 142, "alcrnb": 142, "1219258": 142, "mo3w2si3": 142, "1209009": 142, "mn3sc2si": 142, "1224336": 142, "ge2set": 142, "1193111": 142, "k3ass3": 142, "1189516": 142, "na3sccl6": 142, "1184609": 142, "cuhf2tc": 142, "1216713": 142, "1112341": 142, "cs3ycl6": 142, "1211367": 142, "hg5kcl11": 142, "1190573": 142, "cacd2cu9": 142, "1216223": 142, "fe2zr3sb3": 142, "541149": 142, "bi7cu4s12": 142, "1227383": 142, "alca2zn16": 142, "1208554": 142, "pttasi": 142, "1215515": 142, "fezn4s5": 142, "1183450": 142, "ca2gahg": 142, "1216977": 142, "fev2g": 142, "675750": 142, "caga6te10": 142, "1215573": 142, "cozr2s4": 142, "1206296": 142, "coy2si2": 142, "1211533": 142, "k2ycl5": 142, "1223823": 142, "cr3hf2si": 142, "1192670": 142, "hf9mo4p": 142, "1216437": 142, "osv6g": 142, "1224916": 142, "femosi": 142, "1224792": 142, "1216767": 142, "tivn2": 142, "1207805": 142, "mo4vsi3": 142, "1215776": 142, "coga3zr2": 142, "1220460": 142, "cunb4se8": 142, "1191845": 142, "co17y2h3": 142, "1224175": 142, "cuin3se5": 142, "1188052": 142, "co2gazr": 142, "1226040": 142, "corus4": 142, "1214064": 142, "cain2rh": 142, "1215412": 142, "ga3zn3zr2": 142, "1207382": 142, "zrassi": 142, "1189978": 142, "gahf5sn3": 142, "1216648": 142, "tiset": 142, "5157": 142, "caru2p2": 142, "1184104": 142, "cupbrh2": 142, "1226421": 142, "cr2mop3": 142, "1226514": 142, "1190950": 142, "mn12sc2p7": 142, "1189988": 142, "crnb4si3": 142, "1206267": 142, "cosc6te2": 142, "1215268": 142, "crwzr": 142, "675977": 142, "agbis2": 142, "1227265": 142, "auca2pt": 142, "1018076": 142, "biga2a": 142, "1216279": 142, "ga17pt5y6": 142, "1205329": 142, "557737": 142, "al2bis4": 142, "29420": 142, "hfcl6se4": 142, "1215678": 142, "cdznsb2": 142, "1218928": 142, "ptsnsb": 142, "1215945": 142, "cuga3i": 142, "1220559": 142, "nb4h3s8": 142, "1224514": 142, "pb4gete5": 142, "1188829": 142, "kp2te": 142, "9289": 142, "snzrte": 142, "1173043": 142, "binas2": 142, "1226453": 142, "co2ps3": 142, "1216666": 142, "cr4nbti": 142, "1183547": 142, "capd2sb": 142, "1227450": 142, "bi3pbpd12": 142, "1219431": 142, "1223813": 142, "k4nacl5": 142, "1215362": 142, "28800": 142, "bi8k2se13": 142, "1205342": 142, "ag3kte2": 142, "1193558": 142, "fehf9mo4": 142, "1189932": 142, "mnnb3se6": 142, "1228945": 142, "alcrg": 142, "1101765": 142, "birhs": 142, "1178620": 142, "1218976": 142, "sn2gete3": 142, "1207753": 142, "bipd2y5": 142, "1207125": 142, "csfe2p2": 142, "1186011": 142, "femnv2": 142, "1215442": 142, "al3znzr2": 142, "1188445": 142, "pb3zr5si": 142, "1217990": 142, "crta2si6": 142, "672273": 142, "albicl6": 142, "1220455": 142, "nbw3s8": 142, "1194660": 142, "cd2k11sb5": 142, "1215583": 142, "cozn4se5": 142, "1207811": 142, "co2sny6": 142, "1184041": 142, "cusn4s8": 142, "1222085": 142, "crmn2as3": 142, "640312": 142, "in3k4ge20": 142, "1228117": 142, "al4pdsi": 142, "1206152": 142, "ag2p2si": 142, "1224825": 142, "1215270": 142, "autizr": 142, "1224318": 142, "pbgete2": 142, "1216470": 142, "fe5v5si6": 142, "1215461": 142, "zr2as3": 142, "559459": 142, "csins2": 142, "1216170": 142, "fe10v2i": 142, "1207341": 142, "csmnte2": 142, "1225200": 142, "cofesn2": 142, "1189448": 142, "gapb3zr5": 142, "1215277": 142, "almnzr": 142, "1209130": 142, "inpd2sc2": 142, "1186952": 142, "hgsc2zn": 142, "1218835": 142, "sngese2": 142, "1186222": 142, "ganbos2": 142, "1221679": 142, "comnp2": 142, "1198388": 142, "mn3y2si5": 142, "1217118": 142, "ti3se2te2": 142, "1191862": 142, "ca2sn6zn3": 142, "1224327": 142, "al3auhf2": 142, "1226179": 142, "co3ge2si": 142, "1220587": 142, "nb3v3ge2": 142, "1226460": 142, "co3w2p": 142, "1225897": 142, "1217178": 142, "1218850": 142, "au3cdsr2": 142, "1216128": 142, "cu4ga7y3": 142, "1189272": 142, "alcste3": 142, "1183218": 142, "algaru2": 142, "1217144": 142, "alti4ge7": 142, "1207408": 142, "zr5nsi3": 142, "1218031": 142, "pb3srs4": 142, "1216080": 142, "fey2si4": 142, "1214988": 142, "agmo6cl13": 142, "1219419": 142, "ir19sc5p12": 142, "1208248": 142, "cr4ti2si5": 142, "1192266": 142, "cr2ti4ge5": 142, "1219312": 142, "cuscse2": 142, "1227083": 142, "camn2te3": 142, "1195188": 142, "ca3p14si8": 142, "1194266": 142, "k3s3sb": 142, "675590": 142, "bicu6s6": 142, "1221900": 142, "mn3v17si12": 142, "1220590": 142, "nb3snh": 142, "1224408": 142, "al2cohf6": 142, "1219928": 142, "aupdpt": 142, "1218037": 142, "fe8ta3si": 142, "1228890": 142, "alinsb2": 142, "1206014": 142, "cs2vcl6": 142, "1218384": 142, "sr2znp2": 142, "1183166": 142, "agbipd2": 142, "1221626": 142, "femnp2": 142, "1216017": 142, "al7cu5i": 142, "1215726": 142, "rh12zr2p7": 142, "1220606": 142, "cr3nb5se20": 142, "1195505": 142, "mo3sc2si4": 142, "1224805": 142, "co4ga3g": 142, "1187096": 142, "hgsr2zn": 142, "1228017": 142, "alpt6si": 142, "1208170": 142, "tivp": 142, "1226248": 142, "cr3mo3si2": 142, "1199518": 142, "mo3sc2ge4": 142, "1224502": 142, "alcohf": 142, "1208222": 142, "cuti11p8": 142, "1224454": 142, "cohf3s6": 142, "1220667": 142, "alfe8nb3": 142, "1186001": 142, "mnpd2zn": 142, "22982": 142, "bicus2": 142, "1191068": 142, "v3zn2n": 142, "1220347": 142, "alnb6si": 142, "1224459": 142, "co8hf3ta": 142, "1191450": 142, "alau2hf3": 142, "1192637": 142, "bi6cr5se16": 142, "1204281": 142, "hfruge2": 142, "1226030": 142, "coss": 142, "1219322": 142, "scv4si3": 142, "1183041": 142, "co2znzr": 142, "1205337": 142, "al2ca3p4": 142, "1217893": 142, "al6nbta": 142, "1215774": 142, "zr3as5g": 142, "1223727": 142, "inpb4te5": 142, "1224188": 142, "fe4hfzr": 142, "1217250": 142, "ga3ti10sb3": 142, "1206790": 142, "coy2ge6": 142, "1223753": 142, "ircl6n4": 142, "1215356": 142, "zr4sb5si3": 142, "1217293": 142, "1207102": 142, "al2ga2sr": 142, "1183607": 142, "auca2pb": 142, "1221646": 142, "cdmnse2": 142, "1200211": 142, "ca3ir4sn13": 142, "1229031": 142, "agaupd2": 142, "1211633": 142, "k2tch9": 142, "1187920": 142, "rh2znge": 142, "1214093": 142, "ca2pt3si5": 142, "540578": 142, "cs2zncl4": 142, "1220404": 142, "monbs4": 142, "1187730": 142, "rhy2zn": 142, "1228807": 142, "algav6": 142, "1223859": 142, "gain2as3": 142, "1186232": 142, "nbsntc2": 142, "1217076": 142, "alti2ge3": 142, "1221938": 142, "gamn6g": 142, "1215506": 142, "co3crzr2": 142, "1216169": 142, "zr24hp8": 142, "1222074": 142, "in2mn2se5": 142, "1221606": 142, "femnsi4": 142, "1208257": 142, "bi2crti4": 142, "1215324": 142, "covzr": 142, "1217821": 142, "tawse4": 142, "1217917": 142, "motas4": 142, "1223638": 142, "gainsb2": 142, "29381": 142, "na2aste2": 142, "1217016": 142, "1225119": 142, "fegag": 142, "1215750": 142, "fe8zr3si": 142, "1210700": 142, "mnsb2se4": 142, "1227422": 142, "ca2ir12p7": 142, "1226067": 142, "1221907": 142, "crmn3te4": 142, "1218389": 142, "sr4sse3": 142, "1184647": 142, "co2hfzr": 142, "1227042": 142, "cagasi": 142, "1218097": 142, "mota4se10": 142, "1215224": 142, "fe4nbzr": 142, "1215296": 142, "crmnzr": 142, "1215307": 142, "almozr": 142, "1147710": 142, "1207707": 142, "al9ir3y2": 142, "1215370": 142, "cuzr4s8": 142, "1218924": 142, "pbsnte2": 142, "1215440": 142, "1226038": 142, "cr5se2te6": 142, "1229167": 142, "as2s2s": 142, "1217334": 142, "1221101": 142, "binase2": 142, "1218356": 142, "algasr": 142, "1226821": 142, "alcaga": 142, "1221629": 142, "1215451": 142, "1217897": 142, "motaw": 142, "1194987": 142, "in8ir2sr": 142, "1183640": 142, "cdhgpd2": 142, "1224389": 142, "pbge3se4": 142, "1218359": 142, "agal3sr": 142, "1223754": 142, "knb6se8": 142, "1217815": 142, "tatite4": 142, "1215898": 142, "scyn2": 142, "1221421": 142, "nanb6s8": 142, "1200750": 142, "clh3n": 142, "1220342": 142, "ganb6sn": 142, "1224169": 142, "hfru2ti": 142, "1218062": 142, "ta3ws8": 142, "1183191": 142, "alcurh2": 142, "1217098": 142, "agcuti4": 142, "1188065": 142, "cozrh3": 142, "1216310": 142, "movas2": 142, "1211922": 142, "ga2in2k": 142, "1215318": 142, "alcuzr": 142, "1218026": 142, "pd9rh3ta4": 142, "1219478": 142, "rhassb": 142, "1183151": 142, "alcu2zn": 142, "1223891": 142, "au4in3sn": 142, "1217087": 142, "alcrti2": 142, "1216354": 142, "crvp2": 142, "1229006": 142, "agsnte2": 142, "1186122": 142, "cd2narh": 142, "1183740": 142, "co2crg": 142, "1186121": 142, "cd2inna": 142, "1226087": 142, "1229011": 142, "agsnse2": 142, "1219464": 142, "ruassb": 142, "1221794": 142, "fe2mn4p3": 142, "1207383": 142, "zn4zr5si4": 142, "1216635": 142, "irsnti": 142, "1186944": 142, "corhsc2": 142, "1221728": 142, "crmnpt6": 142, "1221692": 142, "cumnse4": 142, "1221137": 142, "na4ss": 142, "1216784": 142, "motis3": 142, "1228856": 142, "alpd4p": 142, "1184579": 142, "hftizn2": 142, "1183537": 142, "agcd2pt": 142, "1045492": 142, "569743": 142, "bi2mnti4": 142, "1207169": 142, "capdh3": 142, "1221407": 142, "fe5mn5si6": 142, "1221787": 142, "mn8nb3si": 142, "1184587": 142, "hf2mno": 142, "1226375": 142, "cr3rh3s8": 142, "1215455": 142, "zr2as3s": 142, "1219296": 142, "cugasc": 142, "1218049": 142, "mo3ta3n4": 142, "1216184": 142, "cu3ys3": 142, "1186205": 142, "monb2o": 142, "1217185": 142, "coti3s6": 142, "1224598": 142, "mo9w3ge4": 142, "1220329": 142, "al6monb": 142, "1219939": 142, "aupb4pd": 142, "1184602": 142, "cohf2mn": 142, "1220756": 142, "fe8nb3si": 142, "1186962": 142, "pdsc2zn": 142, "1224498": 142, "ga6hf5zr5": 142, "1187006": 142, "cusczn2": 142, "1218367": 142, "casr3s4": 142, "1217995": 142, "altazn": 142, "1215424": 142, "1226070": 142, "cocus4": 142, "1184684": 142, "hfru2g": 142, "1216945": 142, "inpt2ti": 142, "1215918": 142, "sc3yn4": 142, "30461": 142, "bipbpd2": 142, "1219034": 142, "pt3sn2sb4": 142, "1213959": 142, "capdsb": 142, "1227298": 142, "bipd2sb": 142, "1221723": 142, "comn3as2": 142, "1213645": 142, "1217040": 142, "1218060": 142, "cr5ta3n4": 142, "1216826": 142, "1224404": 142, "moasg": 142, "1223851": 142, "in2asp": 142, "1218256": 142, "hgin3sr": 142, "1183490": 142, "cacu2as2": 142, "1224784": 142, "1220866": 142, "napd3sn2": 142, "1221404": 142, "1217138": 142, "ti3v2si3": 142, "1217039": 142, "cr5v4s10": 142, "1228953": 142, "al2gan3": 142, "1221673": 142, "crmnp2": 142, "1216678": 142, "motip2": 142, "1215382": 142, "al11zr4si": 142, "1216687": 142, "tivh4": 142, "1221632": 142, "cdmns2": 142, "1224402": 142, "alhfmo": 142, "1226441": 142, "co2assb": 142, "1218938": 142, "pbsnse2": 142, "1013558": 142, "bica3p": 142, "1215639": 142, "cuga3zr2": 142, "33618": 142, "agbise2": 142, "1185972": 142, "gamn2nb": 142, "1210673": 142, "mn6mo6p7": 142, "1048593": 142, "1209960": 142, "naycl4": 142, "1219488": 142, "nb3sc2ge3": 142, "1207714": 142, "al9pd3y2": 142, "1228912": 142, "1221534": 142, "mnzn3s4": 142, "1187704": 142, "agy2zn": 142, "1186123": 142, "agcd2na": 142, "1216005": 142, "agsn2i": 142, "1221642": 142, "al2comn": 142, "1220417": 142, "nb6pdrh": 142, "1187701": 142, "aghgy2": 142, "1215242": 142, "alti2zr": 142, "1184560": 142, "hfpd2zn": 142, "1183442": 142, "aubipd2": 142, "1079228": 142, "biga4as3": 142, "1226256": 142, "crfesi2": 142, "8581": 142, "rh2srp2": 142, "1227296": 142, "bipt2sb": 142, "1225023": 142, "fe3mo5n8": 142, "1095372": 142, "bi4mns7": 142, "1221872": 142, "gamn2rh": 142, "1220425": 142, "binb6se8": 142, "1217816": 142, "tavh4": 142, "1215306": 142, "alvzr": 142, "610491": 142, "bicls": 142, "1216563": 142, "cr2vsi6": 142, "1206369": 142, "pbpd2sc": 142, "1218262": 142, "gasrsi": 142, "1217215": 142, "mnti4s8": 142, "1188021": 142, "garh2zr": 142, "1224987": 142, "fe4sete3": 142, "1221623": 142, "mnpd3si2": 142, "1184588": 142, "hf2mopt": 142, "1078776": 142, "biins3": 142, "1221431": 142, "mopd2rh": 142, "1216440": 142, "gav6si": 142, "1207830": 142, "fe4yge2": 142, "1220597": 142, "nb3snh2": 142, "1215295": 142, "crfezr": 142, "1216397": 142, "crvas2": 142, "1215937": 142, "alfei": 142, "1226990": 142, "cd3in2se6": 142, "1186224": 142, "ganbtc2": 142, "1217114": 142, "ti2asp": 142, "1214793": 142, "osass": 142, "1229019": 142, "1224091": 142, "31149": 142, "bica3n": 142, "1217910": 142, "28658": 142, "cdna2cl4": 142, "1214784": 142, "1227421": 142, "bipd6s": 142, "1217983": 142, "co6mota": 142, "1224703": 142, "fe2ass3": 142, "1215721": 142, "ru3zn11sb": 142, "1191100": 142, "k2zn5as4": 142, "1221624": 142, "almnv2": 142, "1215429": 142, "1215988": 142, "aggai": 142, "1224492": 142, "1217077": 142, "ti2wsi6": 142, "1215554": 142, "co3fezr2": 142, "4172": 142, "na5gep3": 142, "1187459": 142, "cu2gati": 142, "1227313": 142, "bipbpd6": 142, "1226014": 142, "1216052": 142, "y3s2si": 142, "1215487": 142, "al12nbzr3": 142, "1188725": 142, "fe15ga2y2": 142, "1187916": 142, "inpd2zn": 142, "1226783": 142, "cd4sete3": 142, "1218372": 142, "sr2znas2": 142, "1226934": 142, "cd2sse": 142, "1225000": 142, "1218708": 142, "1216200": 142, "al6mn6i": 142, "1221591": 142, "hg2mnte3": 142, "1190294": 142, "sn3zr5se": 142, "1218592": 142, "ga2in3sr3": 142, "1103724": 142, "bi2pt3se2": 142, "1215205": 142, "co4tazr": 142, "1221572": 142, "1215397": 142, "fezr4se8": 142, "1184318": 142, "ga2ptru": 142, "27241": 142, "k2cl5sb": 142, "1219430": 142, "alco3sc2": 142, "1189235": 142, "co3sc2si5": 142, "1188002": 142, "ostczr2": 142, "1227246": 142, "cacusi": 142, "1216913": 142, "almnti": 142, "1206405": 142, "csrh2p2": 142, "1187464": 142, "alir2ti": 142, "1215215": 142, "zrsse": 142, "1218087": 142, "almn8ta3": 142, "1221549": 142, "1224358": 142, "hfmosb4": 142, "1228906": 142, "1208265": 142, "crti2se4": 142, "1227562": 142, "auca4cd3": 142, "1187738": 142, "ru2snv": 142, "1212666": 142, "cuga5se8": 142, "1222054": 142, "fe3mn3ge2": 142, "1207090": 142, "1217934": 142, "fe4tati": 142, "1184030": 142, "cugapd2": 142, "866187": 142, "tcti2zn": 142, "1186766": 142, "irmota2": 142, "1223971": 142, "1223996": 142, "1226398": 142, "cocr2p3": 142, "1219527": 142, "cu3scse3": 142, "1220004": 142, "irp": 142, "1215434": 142, "1228454": 142, "1228473": 142, "al3pd4g": 142, "1221758": 142, "mn3sete2": 142, "1220358": 142, "ganb6sb": 142, "1221923": 142, "mn2asp": 142, "22956": 142, "k2pdcl4": 142, "1221672": 142, "al12femn": 142, "1224331": 142, "aghf4pd": 142, "1217850": 142, "cotav": 142, "1224836": 142, "garh4ge3": 142, "1186015": 142, "mnpt2zn": 142, "1220569": 142, "fenb4s8": 142, "1221737": 142, "fe3mnp2": 142, "1216411": 142, "cr3vas4": 142, "1226106": 142, "corhs4": 142, "1224309": 142, "agga2hf": 142, "863261": 142, "1187984": 142, "fetczr2": 142, "1205503": 142, "sn2tas2": 142, "1189171": 142, "zn2cln": 142, "1211377": 142, "kcl6sb": 142, "1183516": 142, "agca2rh": 142, "1215580": 142, "zn5s4se": 142, "1218329": 142, "cdgasr": 142, "1220344": 142, "alnb6g": 142, "1223820": 142, "al3cuhf2": 142, "1219423": 142, "cuga3sc2": 142, "1226290": 142, "crfe3as4": 142, "1220676": 142, "1215345": 142, "co3cuzr8": 142, "1229165": 142, "ag3bi7s12": 142, "1217287": 142, "ruset": 142, "1048662": 142, "29678": 142, "1215452": 142, "1211440": 142, "k2pbcl6": 142, "1217291": 142, "pb2sete": 142, "1188987": 142, "co2hf3si3": 142, "1215271": 142, "cofezr": 142, "1227409": 142, "bipd6a": 142, "1187762": 142, "ptruy2": 142, "1104120": 142, "bi2pd3s2": 142, "1215221": 142, "cr4tizr": 142, "1216082": 142, "mny2s4": 142, "1207708": 142, "al4fe8i": 142, "1216460": 142, "coirv6": 142, "1225101": 142, "fe6ge2n": 142, "1193265": 142, "na3sbse3": 142, "1183503": 142, "bica2hg": 142, "1216764": 142, "tivse4": 142, "1224484": 142, "hf10mnsb5": 142, "1220335": 142, "monbw": 142, "1218855": 142, "alga3sr2": 142, "1223842": 142, "biinse3": 142, "1193822": 142, "rhsc3si3": 142, "1221782": 142, "mn4vse5": 142, "1228973": 142, "al3cr8zn": 142, "1219009": 142, "pbsn4te5": 142, "1227354": 142, "1183454": 142, "ca2hgg": 142, "1218898": 142, "ptsnte": 142, "1227033": 142, "1219000": 142, "sn4se3t": 142, "1224155": 142, "au12in3sn": 142, "1215709": 142, "fe4yzr": 142, "1223400": 142, "1227504": 142, "bi2sse2": 142, "1228467": 142, "al3fesi2": 142, "1219926": 142, "pb2sse": 142, "1189475": 142, "tiv4si3": 142, "1220454": 142, "alfe4nb": 142, "1217263": 142, "pdsete": 142, "1226725": 142, "1221678": 142, "cd4mns5": 142, "1215660": 142, "hg4znte5": 142, "1208246": 142, "coti5sb2": 142, "1205784": 142, "ag4y3ge4": 142, "1217260": 142, "fe4ti5sb4": 142, "1217196": 142, "mnti5s10": 142, "1112353": 142, "27549": 142, "agbik2": 142, "1221139": 142, "na4set": 142, "1220525": 142, "mo5nb5si6": 142, "1187068": 142, "gahgsr2": 142, "1215214": 142, "co4nbzr": 142, "1214786": 142, "ruass": 142, "1216112": 142, "sc5y5si6": 142, "1216963": 142, "crtias2": 142, "1214838": 142, "al9cr3si": 142, "1224401": 142, "fe4hfti": 142, "1217162": 142, "co3ti2si": 142, "1220391": 142, "nb6pdpt": 142, "1226741": 142, "cdhgte2": 142, "1183468": 142, "ca2snzn": 142, "1224516": 142, "ir2ge3te3": 142, "1214123": 142, "caos4sb12": 142, "1206898": 142, "iny2ge2": 142, "1192424": 142, "gasrh5": 142, "1226729": 142, "cdhgse2": 142, "570271": 142, "bi2feti4": 142, "1187491": 142, "pdtizn2": 142, "1224116": 142, "kzr12te16": 142, "541378": 142, "bicss2": 142, "1216222": 142, "cu5in7i": 142, "1226768": 142, "cd4se3t": 142, "1224983": 142, "cofesi2": 142, "1221502": 142, "mnzns2": 142, "1207026": 142, "pty2ge6": 142, "1226292": 142, "cr4s3se3": 142, "1187252": 142, "tatc2g": 142, "1228893": 142, "alco2ga": 142, "1216238": 142, "in3sn3y2": 142, "1187098": 142, "pbsr2zn": 142, "1220944": 142, "al3innb12": 142, "1186978": 142, "cdpt2sc": 142, "1192666": 142, "mnpd3ge2": 142, "1206072": 142, "cosn2zr6": 142, "1186002": 142, "mntc2sb": 142, "1223802": 142, "al3hf2zn": 142, "1225771": 142, "au4cu3pd": 142, "1215168": 142, "movzr": 142, "1220433": 142, "conb4pt3": 142, "1188014": 142, "ru2sczr": 142, "1224823": 142, "gapt6g": 142, "1223824": 142, "fe3hf2si": 142, "1187427": 142, "feosti2": 142, "1212189": 142, "hfmnp": 142, "1215346": 142, "alcrzr": 142, "1224372": 142, "hf2mo3si": 142, "1227441": 142, "biptsb": 142, "1225840": 142, "agcus": 142, "1206829": 142, "femng": 142, "1228801": 142, "osasp": 142, "1220409": 142, "aunb6o": 142, "1217836": 142, "tavsi4": 142, "1227320": 142, "agca2ga": 142, "1224151": 142, "au4in3sn3": 142, "1226340": 142, "cr2assb": 142, "1228822": 142, "alsnv6": 142, "1218336": 142, "casrzn2": 142, "1216278": 142, "movsi4": 142, "1215665": 142, "cozr3se6": 142, "1225054": 142, "fe4se3t": 142, "1183634": 142, "agau2cd": 142, "1227997": 142, "alw2si3": 142, "1221529": 142, "mnzns4": 142, "1220377": 142, "nb6snge": 142, "1223660": 142, "gainn2": 142, "675531": 142, "1228194": 142, "al6cocu3": 142, "1211589": 142, "1224972": 142, "cofeas4": 142, "1219220": 142, "1188792": 142, "co7ti4ge6": 142, "1215517": 142, "fe3mnzr2": 142, "1184037": 142, "csh5n2": 142, "1219917": 142, "pb4pdrh": 142, "1221780": 142, "femn3as4": 142, "1188015": 142, "ru2zrsb": 142, "1215246": 142, "rhtizr": 142, "1215704": 142, "almn8zr3": 142, "1215240": 142, "pdtizr": 142, "1215460": 142, "1227418": 142, "bi3pt2sb": 142, "1186958": 142, "curhsc2": 142, "1221763": 142, "mn7snn2": 142, "1227053": 142, "camnse2": 142, "1183541": 142, "aucd2rh": 142, "1215286": 142, "femnzr": 142, "1187211": 142, "ruta2w": 142, "1187225": 142, "fe2tag": 142, "1226952": 142, "cd2sete": 142, "1223646": 142, "1215354": 142, "1187771": 142, "cupty2": 142, "1215320": 142, "cocrzr": 142, "1187470": 142, "crtc2ti": 142, "1216033": 142, "1207365": 142, "csir2p2": 142, "1216214": 142, "co5cu5y2": 142, "1186992": 142, "au2sczn": 142, "1216683": 142, "motisb4": 142, "1221198": 142, "agna4cl5": 142, "1207127": 142, "1223837": 142, "1218022": 142, "cocrta": 142, "1186940": 142, "cocusc2": 142, "1187713": 142, "gaos2v": 142, "1215372": 142, "al3nbzr4": 142, "1186939": 142, "coptsc2": 142, "1220458": 142, "nbvsi4": 142, "1223313": 142, "knacl2": 142, "1211046": 142, "irmng": 142, "1221761": 142, "fe3mn3si2": 142, "1224897": 142, "1228922": 142, "alcr6si": 142, "1224321": 142, "alhfzn": 142, "1215609": 142, "co4ga11zn": 142, "1221485": 142, "1187926": 142, "agpd2zn": 142, "1209946": 142, "crnbs5": 142, "1216661": 142, "1226249": 142, "cocrsi2": 142, "1205588": 142, "mn3gen": 142, "1229023": 142, "al3mo12si": 142, "1216058": 142, "y2s2te": 142, "1186956": 142, "ptrhsc2": 142, "1217791": 142, "cr3cuta2": 142, "1147780": 142, "cuk2h4": 142, "540619": 142, "k3snte3": 142, "1228135": 142, "al5cumo2": 142, "1224524": 142, "hfti4se10": 142, "1191026": 142, "18217": 142, "alk3se3": 142, "1215333": 142, "alco4zr": 142, "1224451": 142, "hf5sc5si6": 142, "1224386": 142, "hf4gesb7": 142, "1215570": 142, "sn4zr3sb2": 142, "1216193": 142, "al9fe3i": 142, "1183528": 142, "1224393": 142, "al2fehf6": 142, "1220453": 142, "nb6sns8": 142, "1220549": 142, "alfenb": 142, "1218073": 142, "mn8ta3si": 142, "1184607": 142, "hfos2zr": 142, "1188761": 142, "os7sc4ge6": 142, "1216077": 142, "ga3y4zn": 142, "1183586": 142, "cainpd2": 142, "1216254": 142, "co6mn6i": 142, "1220711": 142, "fenb3se10": 142, "20235": 142, "camng": 142, "1218773": 142, "snsr2s5": 142, "1218952": 142, "pbsns2": 142, "1206600": 142, "kru2as2": 142, "1224990": 142, "1217112": 142, "crti2si6": 142, "1218328": 142, "gasn3sr4": 142, "1184229": 142, "coga2ir": 142, "1188182": 142, "co8fes8": 142, "1187429": 142, "cofeti2": 142, "1217272": 142, "irast": 142, "1183158": 142, "algair2": 142, "1193594": 142, "mn2wp12": 142, "1220586": 142, "ir2nb3v3": 142, "1224286": 142, "hftin2": 142, "1213703": 142, "ca2cs3cl7": 142, "1220882": 142, "nb12pbse16": 142, "1223993": 142, "kv2s4": 142, "1215188": 142, "tizrn2": 142, "1215751": 142, "ir3pt3zr10": 142, "1197539": 142, "k3asse4": 142, "1225004": 142, "cofes4": 142, "1187195": 142, "irta2v": 142, "1217175": 142, "cu2ti5s10": 142, "1215796": 142, "co3mozr2": 142, "1228032": 142, "almo6si": 142, "1211264": 142, "kwcl6": 142, "1215326": 142, "alrhzr": 142, "1187939": 142, "rh2snzn": 142, "556712": 142, "biga2s4": 142, "1228829": 142, "alv6g": 142, "1220700": 142, "al3irnb2": 142, "1207598": 142, "pd3ys4": 142, "1194481": 142, "au8sn3sr3": 142, "1225260": 142, "fe4mo2n": 142, "1220636": 142, "al2mo3nb3": 142, "1207424": 142, "27850": 142, "ticln": 142, "1227567": 142, "bi4pbs7": 142, "1229062": 142, "alv12si3": 142, "1218812": 142, "gasr2si": 142, "1219516": 142, "s3sb4se3": 142, "630851": 142, "cs3napb4": 142, "1207878": 142, "ga9ru3y2": 142, "1208727": 142, "bisn4sr3": 142, "1224900": 142, "garh4a": 142, "1228126": 142, "al5cuw2": 142, "1215874": 142, "fe2v4zr3": 142, "1184589": 142, "hfmotc2": 142, "1224082": 142, "kti12se16": 142, "1218699": 142, "capb6sr": 142, "1228170": 142, "agal5s8": 142, "1219003": 142, "sn2s2se": 142, "1215510": 142, "al3cozr2": 142, "1215979": 142, "augai": 142, "29011": 142, "bipdt": 142, "1216218": 142, "co10mo2i": 142, "1216495": 142, "v5w5si6": 142, "1216513": 142, "fe3ga4v9": 142, "1217967": 142, "ptsrp": 142, "1226189": 142, "crwp2": 142, "1215194": 142, "1208205": 142, "rhtige": 142, "1190111": 142, "gacl2h": 142, "1215657": 142, "ga3mo2zn9": 142, "1186932": 142, "agptsc2": 142, "1217241": 142, "1221664": 142, "cd2mnte3": 142, "1190041": 142, "nb5psi3": 142, "1218035": 142, "alco8ta3": 142, "1217942": 142, "nbtate4": 142, "1187216": 142, "hg2pbsr": 142, "1219016": 142, "pbsn2se3": 142, "1191256": 142, "1216700": 142, "v10ge3si3": 142, "1221731": 142, "crmn3p4": 142, "1224047": 142, "k2nb3se6": 142, "1183598": 142, "ca2hgin": 142, "1216903": 142, "crtis2": 142, "1187097": 142, "pdptsr2": 142, "1217979": 142, "srgesi": 142, "1227661": 142, "ca2gazn3": 142, "1206681": 142, "bipdsc": 142, "35015": 142, "1215531": 142, "1210002": 142, "nanbs6": 142, "1218111": 142, "fe5ta4te12": 142, "1189212": 142, "rutasi": 142, "1227871": 142, "ca3cd2ga4": 142, "1223378": 142, "kna4cl5": 142, "1223584": 142, "bi3ks5": 142, "1226787": 142, "agal3ca": 142, "1223791": 142, "1184581": 142, "hfir2mn": 142, "1217319": 142, "1227350": 142, "agcag": 142, "1227380": 142, "cay2te4": 142, "1206830": 142, "co2csas2": 142, "1221521": 142, "mnznte4": 142, "1216453": 142, "v6gesi": 142, "1214261": 142, "aubipb3": 142, "1223529": 142, "cu7ks4": 142, "1224342": 142, "hfsc3si8": 142, "1220392": 142, "nb6ptge": 142, "1215207": 142, "fe4sczr": 142, "1187809": 142, "alau2i": 142, "1212671": 142, "cuga5te8": 142, "1227717": 142, "ca2cuin3": 142, "1224092": 142, "1215190": 142, "tizrs6": 142, "1173513": 142, "568664": 142, "agbica": 142, "1224528": 142, "cuin5te8": 142, "1183938": 142, "csk2a": 142, "1219469": 142, "pd6sbse": 142, "1206379": 142, "corh2sb": 142, "1224493": 142, "fehf4s8": 142, "567114": 142, "bi2pd2sr": 142, "1212187": 142, "ga3hf3ti2": 142, "1113231": 142, "1183187": 142, "alfe2g": 142, "1209292": 142, "co2insc6": 142, "1215513": 142, "zn2sete": 142, "1187711": 142, "aggay2": 142, "1221707": 142, "al4mn9v3": 142, "1187431": 142, "cuirti2": 142, "1208195": 142, "ostig": 142, "1206853": 142, "ferh2sb": 142, "1187079": 142, "cdhgsr2": 142, "1218331": 142, "casr3si8": 142, "1223908": 142, "cuga3hf2": 142, "1206110": 142, "cumnpt6": 142, "1206699": 142, "osp4si4": 142, "1220408": 142, "alnbzn": 142, "1208730": 142, "sn2sr3s7": 142, "1219203": 142, "rhp3si3": 142, "1215486": 142, "1212161": 142, "1208217": 142, "rutia": 142, "1208261": 142, "mnti5sb2": 142, "1205343": 142, "1205493": 142, "ag4sn4y3": 142, "1220669": 142, "alco8nb3": 142, "1218056": 142, "agta4s8": 142, "1217283": 142, "pb2ste": 142, "1224559": 142, "co5hf20p11": 142, "1212011": 142, "insbse3": 142, "1226939": 142, "1216081": 142, "cuga3y2": 142, "1219924": 142, "rhp": 142, "1207079": 142, "pdsrh3": 142, "1220777": 142, "cr3nb2si3": 142, "1219292": 142, "cusczn": 142, "1197760": 142, "1218272": 142, "1218236": 142, "auin3sr": 142, "1221410": 142, "nav2se4": 142, "1216174": 142, "1215479": 142, "fev3zr2": 142, "1227330": 142, "ca2gasn": 142, "1221742": 142, "mn3vp4": 142, "1221898": 142, "mn2ruge": 142, "21113": 142, "fe2yge2": 142, "1187921": 142, "ru2wzn": 142, "1186941": 142, "cupdsc2": 142, "1206374": 142, "ruzr6te2": 142, "1220367": 142, "nbwse4": 142, "1215170": 142, "crvzr": 142, "1221650": 142, "cdmnte2": 142, "1183148": 142, "1216338": 142, "fevas2": 142, "1189249": 142, "1220393": 142, "crganb": 142, "1188559": 142, "1206123": 142, "alfe3h": 142, "1218707": 142, "sr2sse": 142, "1226373": 142, "cr3as2sb": 142, "1206424": 142, "pt2srsi2": 142, "1223834": 142, "alhf2si": 142, "1217100": 142, "moti3as4": 142, "1095370": 142, "bipds": 142, "1189510": 142, "1221596": 142, "mnmoas2": 142, "1224881": 142, "1215958": 142, "cofei": 142, "1215230": 142, "mn4tizr": 142, "1215392": 142, "ga6sc5zr5": 142, "1208943": 142, "co2scg": 142, "1218954": 142, "pb4sns5": 142, "1224329": 142, "alhf4si": 142, "1187209": 142, "ta2tiw": 142, "1225002": 142, "femoas2": 142, "1221948": 142, "1200102": 142, "1189225": 142, "nb3rhse6": 142, "1218051": 142, "mota4s8": 142, "1173830": 142, "gana6as3": 142, "1215586": 142, "pd3rh3zr2": 142, "1216378": 142, "crvsi4": 142, "1221774": 142, "crmnte2": 142, "1216761": 142, "tivs2": 142, "1224317": 142, "hf2as3si": 142, "1208409": 142, "cota3s6": 142, "1216252": 142, "in3pb3y2": 142, "1183459": 142, "ca2cdzn": 142, "1217148": 142, "ti3vs6": 142, "1185981": 142, "irmn2rh": 142, "1224418": 142, "hf2s3se3": 142, "1228908": 142, "1215935": 142, "1215244": 142, "nb2pd9zr": 142, "1217089": 142, "alti2si3": 142, "1220337": 142, "alnb6sb": 142, "1217080": 142, "cr2tip3": 142, "1229158": 142, "agau4te10": 142, "1187499": 142, "ir2mnti": 142, "1194401": 142, "sn2sr5as6": 142, "1221702": 142, "1224495": 142, "alhfmn": 142, "1207463": 142, "pt2sn2zn3": 142, "27124": 142, "bi5cu4s10": 142, "1184678": 142, "fehf2rh": 142, "1223443": 142, "biks2": 142, "1227508": 142, "bisbse3": 142, "1221743": 142, "cdmn3te4": 142, "1224789": 142, "ga2asp": 142, "1191527": 142, "au3csga2": 142, "1224282": 142, "hfsse": 142, "1147766": 142, "al2casn2": 142, "1215560": 142, "nbzn8zr3": 142, "1228192": 142, "al4mo3si2": 142, "1222087": 142, "mn3pd5sn2": 142, "1187240": 142, "hginsr2": 142, "1223845": 142, "kpd4si4": 142, "16491": 142, "al9co2sr": 142, "1224841": 142, "ga2mo3si4": 142, "1223647": 142, "ingete2": 142, "1183163": 142, "alfeir2": 142, "1224886": 142, "fewp2": 142, "1225832": 142, "1183470": 142, "ca2pbzn": 142, "1215528": 142, "1226346": 142, "cr3se2te2": 142, "1217270": 142, "cr2tisi6": 142, "1217777": 142, "in3srzn": 142, "1228522": 142, "al2zn2s5": 142, "1218917": 142, "pd6srsi6": 142, "1226069": 142, "co3mo2si": 142, "1219050": 142, "1103697": 142, "bi2pd3se2": 142, "1215942": 142, "fe4sci": 142, "1183038": 142, "ir2znzr": 142, "1190733": 142, "cs4pbcl6": 142, "1227072": 142, "caga3pt": 142, "1226236": 142, "crfeas4": 142, "1219732": 142, "pt4s3se": 142, "1216176": 142, "cr3fe9i": 142, "1183464": 142, "ca2hgzn": 142, "1224414": 142, "bipd6g": 142, "1207848": 142, "rh2y3ge2": 142, "1220620": 142, "nb3ws8": 142, "1213092": 142, "1205965": 142, "cozr6te2": 142, "1223581": 142, "k8sb2te": 142, "1215298": 142, "fe4tazr": 142, "1205864": 142, "cdcu2y2": 142, "1215269": 142, "crmozr": 142, "1186203": 142, "crnb2o": 142, "1187703": 142, "irruy2": 142, "1216173": 142, "cuin3y2": 142, "1217146": 142, "1222504": 142, "mn12ge4n3": 142, "1225166": 142, "fe4ste3": 142, "1215169": 142, "vwzr": 142, "1218327": 142, "casrsi4": 142, "1216867": 142, "mntisi4": 142, "1215905": 142, "cuyg": 142, "1224488": 142, "alfehf": 142, "1220742": 142, "al3ganb12": 142, "1221662": 142, "al2cr3mn": 142, "1218961": 142, "1225125": 142, "fe3irsi4": 142, "1216245": 142, "vgesi": 142, "1217775": 142, "co3ta2si": 142, "1217829": 142, "tatise4": 142, "1215914": 142, "1224366": 142, "hf5scsi4": 142, "1217371": 142, "1208590": 142, "1224419": 142, "hfnbn2": 142, "1228810": 142, "irass": 142, "1187698": 142, "co2vzn": 142, "1215398": 142, "mn8tizr3": 142, "1219323": 142, "crmnsc": 142, "1225183": 142, "fe3sete2": 142, "1221935": 142, "mnv2si6": 142, "1220374": 142, "crnbv": 142, "1186233": 142, "nbru2sn": 142, "1216676": 142, "tiwp2": 142, "1188022": 142, "mnrh2zr": 142, "1228991": 142, "pbpd4as3": 142, "1206349": 142, "co2kp2": 142, "1181237": 142, "alhfpt": 142, "1228866": 142, "773137": 142, "bicak": 142, "1188003": 142, "rutczr2": 142, "1188017": 142, "sctc2zr": 142, "1227426": 142, "birht": 142, "1212637": 142, "fe3gan": 142, "1218273": 142, "cusrg": 142, "1216450": 142, "gav6sb": 142, "1221826": 142, "fe9mn3p4": 142, "1224596": 142, "coga3hf2": 142, "1217205": 142, "cuti5s10": 142, "1224466": 142, "alcrhf": 142, "1217093": 142, "alnbti2": 142, "1217096": 142, "cufeti2": 142, "1221620": 142, "1223798": 142, "1217020": 142, "1221528": 142, "mn2assb": 142, "1215340": 142, "alfezr": 142, "1220429": 142, "binb6s8": 142, "1216045": 142, "gamnzr": 142, "1224954": 142, "1220442": 142, "nb6zns8": 142, "1215181": 142, "cutizr": 142, "1217257": 142, "ptsete": 142, "1216680": 142, "tist": 142, "1209887": 142, "1220541": 142, "nb4gese8": 142, "1206362": 142, "alhfpt2": 142, "1215299": 142, "1224009": 142, "1214809": 142, "al6wg": 142, "1216079": 142, "alcoi": 142, "1217017": 142, "al6moti": 142, "1226950": 142, "cd2ste": 142, "1187430": 142, "irruti2": 142, "1215955": 142, "alco4i": 142, "1183697": 142, "cdpbrh2": 142, "1206867": 142, "coga8sc2": 142, "1215597": 142, "zr2s3se3": 142, "1102836": 142, "biir": 142, "1221696": 142, "femnpd6": 142, "1220381": 142, "ganb6g": 142, "1229114": 142, "alsn3v12": 142, "1215817": 142, "co3gazr2": 142, "1218338": 142, "agcu4sr": 142, "1224426": 142, "alhfir": 142, "1187694": 142, "osv2w": 142, "973126": 142, "bipd2sc": 142, "1220364": 142, "nb6snsi": 142, "29638": 142, "biptt": 142, "1224354": 142, "cuhf4si3": 142, "1216427": 142, "osv6si": 142, "1227397": 142, "bipbpt2": 142, "1207117": 142, "cofe2si": 142, "1216451": 142, "gasnv6": 142, "1220398": 142, "monbs3": 142, "1215353": 142, "zr4gesb7": 142, "1218931": 142, "ptsn": 142, "1226791": 142, "al3auca": 142, "1191025": 142, "ga6mn2zr3": 142, "1218960": 142, "sn2sse": 142, "1215179": 142, "1217094": 142, "nb3sn2ti3": 142, "1045417": 142, "1225013": 142, "femo3as4": 142, "1219871": 142, "pdsse": 142, "1207022": 142, "kru2p2": 142, "1215213": 142, "cr4tazr": 142, "1208621": 142, "au3ga4sr": 142, "1217171": 142, "alfeti": 142, "1217790": 142, "mo4tas10": 142, "1207448": 142, "pt3zr3sb4": 142, "1215633": 142, "zn5se4t": 142, "1188581": 142, "cl4h8si5": 142, "1214099": 142, "al2cah8": 142, "1216349": 142, "crfe2v": 142, "1215466": 142, "hgznse2": 142, "1187764": 142, "pty2zn": 142, "1217124": 142, "co3sn2ti2": 142, "1224464": 142, "alhf3ge5": 142, "1187874": 142, "pd2yzn": 142, "1184870": 142, "agau2in": 142, "1215872": 142, "co8mnzr3": 142, "1215971": 142, "pdyge": 142, "1191625": 142, "irpt": 142, "1215177": 142, "mo4tizr": 142, "1187433": 142, "mntcti2": 142, "1187233": 142, "ru2tag": 142, "1220696": 142, "agnb2s4": 142, "1192397": 142, "sn2s4si": 142, "1210267": 142, "na2zrs3": 142, "1184559": 142, "hfsctc2": 142, "1190981": 142, "sr2zns3": 142, "1227685": 142, "agca2zn3": 142, "1227351": 142, "agca2ga7": 142, "1186951": 142, "pdrhsc2": 142, "1192112": 142, "fezr6cl15": 142, "1191280": 142, "nb4v2si5": 142, "1215208": 142, "ti3zras2": 142, "1193657": 142, "co4ti4si7": 142, "1208323": 142, "bi3cuti5": 142, "1188208": 142, "cuzr5sb3": 142, "1223986": 142, "hg3in2te6": 142, "1187420": 142, "moosti2": 142, "1216481": 142, "cr3v3si2": 142, "1228753": 142, "ruasp": 142, "1221335": 142, "mn3na2te4": 142, "1221434": 142, "na2ta3s6": 142, "1228909": 142, "al3pd4si": 142, "1228605": 142, "al3mo8s16": 142, "30465": 142, "bipd2i": 142, "1224218": 142, "hftise4": 142, "1147754": 142, "cu2k3h7": 142, "1217009": 142, "al2tizn": 142, "1218537": 142, "agsrg": 142, "1187238": 142, "gamn2ta": 142, "1208220": 142, "ausn3ti5": 142, "1187422": 142, "coosti2": 142, "1216110": 142, "alfe3y2": 142, "1224496": 142, "ga11hf4zn": 142, "1215734": 142, "co19zr5p12": 142, "1219291": 142, "mo10psi5": 142, "1228905": 142, "1078729": 142, "bi2cuzr6": 142, "1215339": 142, "femozr": 142, "1216457": 142, "corhv6": 142, "1208267": 142, "coti5sb3": 142, "1221703": 142, "cd2mns3": 142, "1183136": 142, "al2osrh": 142, "1216600": 142, "1226036": 142, "1187111": 142, "gasr2zn": 142, "1187705": 142, "auiry2": 142, "1215949": 142, "1218994": 142, "pd6snte2": 142, "1078567": 142, "1215374": 142, "sc5zr4n10": 142, "1221690": 142, "cdmnse4": 142, "1103607": 142, "bipts": 142, "1220469": 142, "fe3nb4si5": 142, "1207608": 142, "rhyzn": 142, "1208335": 142, "ta5nsi3": 142, "1216927": 142, "crtisi4": 142, "1219497": 142, "fe10scsi2": 142, "1227436": 142, "auca2ga7": 142, "1217968": 142, "ta4ss": 142, "1223510": 142, "bikpb": 142, "1183167": 142, "agau2pd": 142, "1224035": 142, "1193100": 142, "sry2se4": 142, "1206239": 142, "cohf6sb2": 142, "1217143": 142, "agti3s6": 142, "1223835": 142, "1215186": 142, "co4tizr": 142, "1228436": 142, "23474": 142, "agbi3s5": 142, "1221619": 142, "femnsi2": 142, "1227020": 142, "agcazn": 142, "1217022": 142, "1221424": 142, "na2ta3se6": 142, "1228987": 142, "al2zn3s6": 142, "1189981": 142, "sn3znzr5": 142, "1008624": 142, "bipdi": 142, "1221843": 142, "al4mn3si2": 142, "1217253": 142, "crti10sb5": 142, "1226385": 142, "crfege2": 142, "1188487": 142, "pb3snzr5": 142, "1219501": 142, "russ": 142, "1217015": 142, "al2tiv": 142, "1221509": 142, "mo2asp3": 142, "1220758": 142, "au3irnb12": 142, "1224020": 142, "27359": 142, "cssccl3": 142, "1225839": 142, "23318": 142, "bicl": 142, "1215715": 142, "ga3zr10sb3": 142, "1190110": 142, "agzr5sb3": 142, "1218330": 142, "casrs2": 142, "1220795": 142, "nb12sn3sb": 142, "1216946": 142, "crmnti": 142, "1184582": 142, "hfnbru2": 142, "1103228": 142, "biirs": 142, "510133": 142, "fe4scp2": 142, "1208239": 142, "cusn3ti5": 142, "1218560": 142, "pbsr3s4": 142, "1217900": 142, "tagesi": 142, "1226432": 142, "csv6s8": 142, "1220782": 142, "ga3nb12g": 142, "1220436": 142, "monbsi4": 142, "1096942": 142, "bicsse2": 142, "1217214": 142, "alcuti": 142, "1216414": 142, "cocrv": 142, "1224707": 142, "fe2asp": 142, "1226837": 142, "cd4pbte5": 142, "567883": 142, "bi2coti4": 142, "1192730": 142, "1229235": 142, "csti6se8": 142, "1189342": 142, "pb3zr5te": 142, "1224376": 142, "ge2ss": 142, "1220734": 142, "fenb2s4": 142, "1184573": 142, "hfru2ta": 142, "1184601": 142, "hfru2zr": 142, "1221641": 142, "fe3mnsi8": 142, "1218027": 142, "alfe4ta": 142, "1221437": 142, "nanb6te8": 142, "1219237": 142, "mowsi4": 142, "1226108": 142, "comosi": 142, "1224950": 142, "cofesb4": 142, "1215336": 142, "al6mozr": 142, "1208235": 142, "al9nb3ti4": 142, "1221499": 142, "1219970": 142, "pb4sse3": 142, "1228894": 142, "1219393": 142, "alcosc": 142, "1226254": 142, "crmoas2": 142, "5168": 142, "alp3si": 142, "1206500": 142, "mnsc6te2": 142, "1215757": 142, "cr3fezr2": 142, "1218857": 142, "al3sr2g": 142, "1225786": 142, "568398": 142, "aubica": 142, "1215484": 142, "como3zr2": 142, "1223907": 142, "hg2sse": 142, "1226268": 142, "csnb6te8": 142, "1215368": 142, "cofezr4": 142, "1221500": 142, "mnznse2": 142, "1193446": 142, "mn2snse4": 142, "1013545": 142, "bica3a": 142, "36539": 142, "bikse2": 142, "1221987": 142, "crmn2se3": 142, "1189520": 142, "naps3": 142, "1206409": 142, "fe2kp2": 142, "1221975": 142, "1216065": 142, "co3y2si": 142, "1209036": 142, "1216202": 142, "cu3yse3": 142, "1187428": 142, "feruti2": 142, "1215321": 142, "1218110": 142, "inta2s4": 142, "1208587": 142, "ta11se8si2": 142, "1223713": 142, "1187095": 142, "aupdsr2": 142, "1217251": 142, "ti20sb9se3": 142, "1217132": 142, "1187245": 142, "mo2tiw": 142, "1221667": 142, "cd3mnte4": 142, "1217195": 142, "nb5ti5ge6": 142, "1221497": 142, "mnznte2": 142, "1215453": 142, "1221580": 142, "hgmns2": 142, "1191953": 142, "al2nb3n": 142, "1188004": 142, "rhtczr2": 142, "1216670": 142, "tivas2": 142, "1218375": 142, "sr2zn5si3": 142, "1185926": 142, "mn2pdpt": 142, "1188066": 142, "co2inzr": 142, "1206350": 142, "1217902": 142, "monbta": 142, "1045465": 142, "1184057": 142, "1216571": 142, "mov2s4": 142, "1223818": 142, "k2nacl3": 142, "1186206": 142, "monb2ru": 142, "1228834": 142, "1199559": 142, "cr3sc2si4": 142, "1218951": 142, "1187231": 142, "insr2zn": 142, "1223844": 142, "in2assb": 142, "1215291": 142, "fe4tizr": 142, "1225204": 142, "fe3s2se4": 142, "1224480": 142, "ga12hf3sc": 142, "1228611": 142, "1221708": 142, "al2mn5v": 142, "1071876": 142, "1222031": 142, "al4mn11v": 142, "1217755": 142, "1215934": 142, "almni": 142, "1213976": 142, "cagah5": 142, "1215700": 142, "yzrs2": 142, "1216021": 142, "1224863": 142, "co4gage3": 142, "1221977": 142, "mn4sete3": 142, "1226309": 142, "crcus4": 142, "1222131": 142, "1220879": 142, "1219249": 142, "irp3si3": 142, "1190661": 142, "ga2v3n": 142, "1216247": 142, "aly4ge8": 142, "1184276": 142, "fetc2g": 142, "1215659": 142, "1216225": 142, "cu3yte3": 142, "1220692": 142, "1186200": 142, "crnb2ru": 142, "1147769": 142, "1178762": 142, "rh2snv": 142, "1218926": 142, "ptsnse": 142, "1219380": 142, "co3sc4sb4": 142, "1223382": 142, "1221660": 142, "al2cumn": 142, "1217286": 142, "1218096": 142, "alcuta": 142, "1185995": 142, "aumnpd2": 142, "1187497": 142, "rh2tige": 142, "1183037": 142, "au2znzr": 142, "1215384": 142, "cu2tizr3": 142, "1220362": 142, "alnb6sn": 142, "1221555": 142, "mnvp2": 142, "1224980": 142, "16304": 142, "ptyp": 142, "1184615": 142, "cuhf2rh": 142, "1224257": 142, "1218858": 142, "alin3sr2": 142, "1183048": 142, "ru2snzr": 142, "1179173": 142, "pdsr2h4": 142, "1213948": 142, "capdzn": 142, "1224716": 142, "1208228": 142, "al2nbti3": 142, "1206594": 142, "crru2g": 142, "1219437": 142, "1223642": 142, "gainp2": 142, "1229008": 142, "1220315": 142, "nbvh4": 142, "1173050": 142, "1224985": 142, "1218925": 142, "pb3snte4": 142, "1173060": 142, "1193756": 142, "ircl7te7": 142, "1227245": 142, "571085": 142, "biga2se4": 142, "1221643": 142, "554304": 142, "1207418": 142, "fezra": 142, "1225232": 142, "fe19gan5": 142, "1224560": 142, "hf8mo5g": 142, "1200720": 142, "csinse2": 142, "1224259": 142, "hfmo4ti": 142, "1223376": 142, "1212435": 142, "fehfsb": 142, "1227046": 142, "aucasi": 142, "1186162": 142, "1218380": 142, "ag4ca3sr": 142, "1218865": 142, "al3insr2": 142, "1186209": 142, "nb2rutc": 142, "1223671": 142, "1215907": 142, "1218334": 142, "ca3sr5si4": 142, "1221454": 142, "1215960": 142, "co4ysi": 142, "1184829": 142, "feinrh2": 142, "1217768": 142, "pd3ru3ta2": 142, "1216865": 142, "crtin2": 142, "1221007": 142, "innb12sn3": 142, "1216799": 142, "1225994": 142, "coset": 142, "1221675": 142, "crmnsi2": 142, "1226449": 142, "co2gesi": 142, "1215220": 142, "mowzr": 142, "1215933": 142, "agal3i": 142, "1217891": 142, "al6tati": 142, "1045419": 142, "1216641": 142, "rhsnti": 142, "1223807": 142, "1215323": 142, "1210246": 142, "mo3nase4": 142, "1217325": 142, "rhast": 142, "1221689": 142, "comnsn4": 142, "1215189": 142, "tizrs4": 142, "1225179": 142, "fe12as2ge3": 142, "1103098": 142, "1218064": 142, "alfeta": 142, "1224165": 142, "1222000": 142, "ga5mnv": 142, "9132": 142, "snta3s6": 142, "1207799": 142, "cova": 142, "1210555": 142, "mn3snh": 142, "1219512": 142, "rhrus4": 142, "1186763": 142, "mota2w": 142, "1227003": 142, "1205964": 142, "ca2feh6": 142, "1208400": 142, "mnsn3ti5": 142, "675543": 142, "bi2pbse4": 142, "1224448": 142, "pb3gete4": 142, "1223810": 142, "1223869": 142, "1226003": 142, "1184594": 142, "hf2pdtc": 142, "1186107": 142, "binapd2": 142, "1183708": 142, "1227038": 142, "1220345": 142, "nbsnsb": 142, "1216577": 142, "1223561": 142, "k3nas2": 142, "1216906": 142, "1218008": 142, "cr3ta2si": 142, "1224871": 142, "ga3pt8g": 142, "1224790": 142, "1218061": 142, "alcr8ta3": 142, "1193821": 142, "pt7sc4si2": 142, "1220695": 142, "cunb2te4": 142, "1228888": 142, "algap2": 142, "1210460": 142, "fena2cl4": 142, "1191076": 142, "1186140": 142, "innapd2": 142, "1221395": 142, "nanb2s4": 142, "1221382": 142, "1224306": 142, "hfscsi2": 142, "1223664": 142, "1190672": 142, "cr2ga6hf3": 142, "1217079": 142, "moti2si6": 142, "1220503": 142, "nb3wse8": 142, "1224271": 142, "hfsete": 142, "1211251": 142, "ktacl6": 142, "1217890": 142, "tass": 142, "1179023": 142, "1227695": 142, "bi2pb3s6": 142, "1220492": 142, "alconb": 142, "1187444": 142, "rhruti2": 142, "1216734": 142, "motias2": 142, "1222148": 142, "co11mn4ge5": 142, "1228738": 142, "ptass": 142, "1215475": 142, "1224303": 142, "al2hfzn": 142, "1219943": 142, "1221319": 142, "na2assb": 142, "1226258": 142, "crfeas2": 142, "1228891": 142, "algaas2": 142, "1224642": 142, "1226754": 142, "cdasp": 142, "1217145": 142, "1218052": 142, "nb5ta5si6": 142, "1223884": 142, "in4asp3": 142, "1206854": 142, "mntip": 142, "1214842": 142, "al8cr4si3": 142, "1227416": 142, "au9ca2zn3": 142, "11583": 142, "1226193": 142, "crw3p8": 142, "1223879": 142, "ga3inn4": 142, "1224373": 142, "ptgete": 142, "1224371": 142, "auasg": 142, "1212428": 142, "fehfa": 142, "1215552": 142, "alfe3zr2": 142, "1218875": 142, "ag5al5sr2": 142, "1217794": 142, "ta10s3s": 142, "1221427": 142, "nav6s8": 142, "1208721": 142, "casr4si3": 142, "1224732": 142, "1217126": 142, "fe2ti4p3": 142, "1217987": 142, "co2mota3": 142, "1208952": 142, "sctan2": 142, "1208839": 142, "ptsr2h6": 142, "1216640": 142, "ga2tizn": 142, "1221720": 142, "1187434": 142, "fetcti2": 142, "1187418": 142, "alti2w": 142, "1217024": 142, "auptti6": 142, "1186119": 142, "cdnapd2": 142, "646102": 142, "al3bi5cl12": 142, "862602": 142, "alco2sc": 142, "1226104": 142, "crfe2as6": 142, "1189764": 142, "fezr5sb3": 142, "1228895": 142, "algasb2": 142, "1219001": 142, "aupd2sn2": 142, "1187424": 142, "osrhti2": 142, "1220413": 142, "nbsse": 142, "1187417": 142, "mopdti2": 142, "1221503": 142, "1113233": 142, "1216267": 142, "fe2ru4y3": 142, "1226035": 142, "cosbs": 142, "1188158": 142, "pt2ysi": 142, "1215175": 142, "tiw4zr": 142, "1228758": 142, "rh4asp": 142, "1215403": 142, "hgznte2": 142, "1206406": 142, "ir2kas2": 142, "1216047": 142, "y2ass": 142, "1218342": 142, "cdsnsr": 142, "1186759": 142, "osruta2": 142, "1215331": 142, "al2zrsi": 142, "1185616": 142, "crmn2si": 142, "1217926": 142, "motasi4": 142, "1216056": 142, "y2p": 142, "1219720": 142, "ptsse": 142, "1190098": 142, "cahfs3": 142, "1191428": 142, "co12sc2p7": 142, "1218019": 142, "pbsrs2": 142, "1222126": 142, "co4mn3ge6": 142, "1207910": 142, "1218970": 142, "aupdsn2": 142, "1221789": 142, "crmn3as4": 142, "1215180": 142, "1215524": 142, "au2cdzn": 142, "1224173": 142, "gahfzn2": 142, "1215217": 142, "cr4nbzr": 142, "1224822": 142, "ga2ss": 142, "1217140": 142, "ti3s4se2": 142, "1185976": 142, "al2mntc": 142, "1218335": 142, "1215448": 142, "1217202": 142, "cr9ti3si4": 142, "1214042": 142, "au7ca3ge4": 142, "1228724": 142, "rhass": 142, "1223832": 142, "kpt4si4": 142, "1187419": 142, "gatcti2": 142, "1220511": 142, "nb5w5si6": 142, "1209061": 142, "ir7sc4ge6": 142, "1217200": 142, "mn3ti2v": 142, "1215447": 142, "hgzns2": 142, "1218852": 142, "casn5sr2": 142, "1215446": 142, "zn2sse": 142, "1207911": 142, "pt9y2ge3": 142, "1218090": 142, "alfe8ta3": 142, "1227322": 142, "bi2pdpt": 142, "1207671": 142, "1193541": 142, "rhcl7te7": 142, "1215256": 142, "nbzrn2": 142, "1219356": 142, "alcusc": 142, "1215335": 142, "1208204": 142, "ti5sb2si": 142, "1217773": 142, "taw4si10": 142, "1223673": 142, "insn3se4": 142, "1221402": 142, "1228745": 142, "1206920": 142, "ir2kp2": 142, "1216436": 142, "gav6g": 142, "1228443": 142, "al2mo3si4": 142, "31451": 142, "bicozr": 142, "1216348": 142, "crmov": 142, "1187489": 142, "tc2tige": 142, "1222206": 142, "mn10ge3si3": 142, "28734": 142, "cozr6cl15": 142, "1188542": 142, "fe4srsb12": 142, "1217134": 142, "ti3vs4": 142, "1207381": 142, "pd3zrsi3": 142, "1221890": 142, "cdmn2te3": 142, "1217350": 142, "fe2tise4": 142, "1205828": 142, "agyg": 142, "1206348": 142, "csir2as2": 142, "1205827": 142, "crpda": 142, "1222102": 142, "mn12p3si": 142, "1188031": 142, "co2sczr": 142, "1221501": 142, "mo3s2se2": 142, "1187473": 142, "gatc2ti": 142, "1186935": 142, "cdossc2": 142, "1187911": 142, "co2gazn": 142, "1223898": 142, "cr2ks4": 142, "1216581": 142, "fev2si": 142, "1110880": 142, "1187922": 142, "inrh2zn": 142, "1229000": 142, "1216765": 142, "co9v2w": 142, "1228701": 142, "al4w3ge2": 142, "1208287": 142, "osast": 142, "1215595": 142, "1192618": 142, "fe4nb4si7": 142, "1224346": 142, "hf3scsi4": 142, "1194083": 142, "fe4hf4ge7": 142, "1184604": 142, "hf2osru": 142, "1190451": 142, "k3zn2cl7": 142, "570008": 142, "bisr3n": 142, "1220412": 142, "cunbse2": 142, "1207394": 142, "cdzr5sb2": 142, "1221760": 142, "mn4asp3": 142, "1194003": 142, "hf9mo4si": 142, "1194467": 142, "hf10mo3si": 142, "1215496": 142, "ag2cdzn": 142, "1218362": 142, "ca3srsi4": 142, "1208564": 142, "tavp": 142, "1226008": 142, "1208837": 142, "cu2in2sr": 142, "1188095": 142, "pbsns3": 142, "1217437": 142, "pbptte": 142, "1225744": 142, "cuset": 142, "1217109": 142, "al11ti4zn": 142, "1216078": 142, "cu3y2si": 142, "1221125": 142, "1223955": 142, "hg2ste": 142, "1215564": 142, "1215216": 142, "al6nbzr": 142, "1215420": 142, "fe8tazr3": 142, "1207015": 142, "csru2p2": 142, "862264": 142, "sc2tczn": 142, "1228438": 142, "1221815": 142, "mn3w2si": 142, "1220382": 142, "nb5s2se2": 142, "1187210": 142, "osta2tc": 142, "1217985": 142, "mnta2v3": 142, "1224494": 142, "alhfrh": 142, "1229220": 142, "csnb6s8": 142, "1218002": 142, "mota2s6": 142, "1226720": 142, "aucdsn": 142, "1219515": 142, "ru2s3s": 142, "1206242": 142, "in5rhi": 142, "1220691": 142, "cunb2s4": 142, "1221491": 142, "1197050": 142, "y2zrs5": 142, "1187172": 142, "srhn": 142, "1228562": 142, "al3w2g": 142, "1227571": 142, "ca4gasn3": 142, "1216468": 142, "mo3v3si2": 142, "1183165": 142, "al2cupd": 142, "1227493": 142, "bi3pbpt2": 142, "1225141": 142, "fe2psi": 142, "1216843": 142, "1186210": 142, "nb2ostc": 142, "1223932": 142, "hg2sete": 142, "1224337": 142, "hfscge4": 142, "1226302": 142, "cr3feas4": 142, "1183690": 142, "crgarh2": 142, "1227300": 142, "ca2gasi": 142, "1189689": 142, "ir7sc4si6": 142, "1215953": 142, "comni": 142, "1221713": 142, "fe4mnsi3": 142, "1210826": 142, "1193835": 142, "cow2cl10": 142, "1181094": 142, "hf2hsi": 142, "1220761": 142, "nb12znse16": 142, "1214851": 142, "al3co3si4": 142, "1227660": 142, "ca2ga3zn": 142, "554921": 142, "bi2hgs4": 142, "1227112": 142, "capb3se4": 142, "1220686": 142, "cunb2se4": 142, "1219434": 142, "fe3rusc2": 142, "1220598": 142, "innb6se8": 142, "1187977": 142, "feoszr2": 142, "1184180": 142, "cuast": 142, "23012": 142, "1217137": 142, "1207101": 142, "kmnse2": 142, "1215928": 142, "co4yg": 142, "1227096": 142, "cacuga": 142, "1216029": 142, "crfe11i": 142, "1215610": 142, "v3zr2si": 142, "1189061": 142, "au5mny3": 142, "1206674": 142, "aucdi": 142, "1215676": 142, "yznsi": 142, "1220663": 142, "monb3se8": 142, "1221718": 142, "1217935": 142, "fe4taw": 142, "1217360": 142, "1186125": 142, "cd2napd": 142, "1188059": 142, "garu2zr": 142, "1215227": 142, "tazrte4": 142, "1190972": 142, "in4pd17se4": 142, "1084770": 142, "aubik2": 142, "6973": 142, "csna": 142, "1225880": 142, "1215491": 142, "al3crzr2": 142, "680530": 142, "bipb3pt": 142, "1218349": 142, "ag3pd2sr": 142, "1183583": 142, "cayzn2": 142, "1221552": 142, "mn5gesi2": 142, "1224396": 142, "wasg": 142, "1216230": 142, "fe10mo2i": 142, "1215259": 142, "pttizr": 142, "1224324": 142, "agal3hf2": 142, "31018": 142, "agbisr": 142, "1217763": 142, "srznge": 142, "1173475": 142, "1207782": 142, "co2y3si3": 142, "1215338": 142, "al5cu7zr": 142, "1220472": 142, "cuganb": 142, "1222586": 142, "bi3in2na3": 142, "1194183": 142, "ca2se4si": 142, "1186021": 142, "auhgna2": 142, "675009": 142, "cuy4te8": 142, "1216166": 142, "y10ge3si3": 142, "1220418": 142, "nb6rhru": 142, "1224247": 142, "hfzrn2": 142, "1221513": 142, "mo2as3p": 142, "1232423": 142, "cutczr2": 142, "1189305": 142, "al2sr3as4": 142, "1216124": 142, "cry4s7": 142, "1218558": 142, "au7sn9sr4": 142, "1227810": 142, "ca3pbse4": 142, "1218889": 142, "1220748": 142, "al3nb12g": 142, "1228831": 142, "alv6sb": 142, "1218590": 142, "alinsr": 142, "28501": 142, "k2nb3cl9": 142, "1217201": 142, "mn5ti4v3": 142, "1216949": 142, "cosnti": 142, "1213974": 142, "au4bica": 142, "1212193": 142, "hfpdsb": 142, "1183571": 142, "capt2i": 142, "1223695": 142, "insnte2": 142, "1187492": 142, "sntc2ti": 142, "1218893": 142, "ca2srsi6": 142, "1222092": 142, "mn12rh4n": 142, "1189202": 142, "gana5ge2": 142, "1189107": 142, "csti2cl7": 142, "1223857": 142, "gain3te4": 142, "1186943": 142, "gapdsc2": 142, "1215344": 142, "agpd3zr8": 142, "1225174": 142, "1225227": 142, "co3fe3si2": 142, "1217136": 142, "al15rh7ti8": 142, "1228823": 142, "1227017": 142, "ag3ca4zn": 142, "1216743": 142, "1227558": 142, "ca4gasi3": 142, "1187800": 142, "curhzn2": 142, "1184567": 142, "hf2irtc": 142, "1225747": 142, "cuss": 142, "1219466": 142, "nb3sc2si3": 142, "1078709": 142, "aubina2": 142, "1205392": 142, "1220396": 142, "monbse3": 142, "1218856": 142, "al7sr2g": 142, "1220284": 142, "nb6gesi": 142, "1228992": 142, "almo2ge3": 142, "1207359": 142, "csmnse2": 142, "1205800": 142, "pdy2ge6": 142, "1205978": 142, "agcapb": 142, "1184055": 142, "fegaru2": 142, "1205307": 142, "1217193": 142, "fe5ti3p4": 142, "1184586": 142, "cohf2o": 142, "1186069": 142, "1226245": 142, "crfep2": 142, "1186228": 142, "nbru2si": 142, "1029811": 142, "y4n2te3": 142, "1224456": 142, "hfinpt2": 142, "1224430": 142, "hf2v3ge": 142, "1229060": 142, "alv12ge3": 142, "1186004": 142, "gamnpd2": 142, "1215711": 142, "al6mn6zr": 142, "1220675": 142, "al3ga3nb2": 142, "1184568": 142, "hf2tczn": 142, "1227346": 142, "agca2cu": 142, "1215305": 142, "1183135": 142, "al2pdtc": 142, "1147773": 142, "k2zns2": 142, "31313": 142, "k3pse4": 142, "1147776": 142, "k3vse4": 142, "1216327": 142, "fe3vsi4": 142, "1218415": 142, "bi2sr2zn": 142, "1208517": 142, "fesn3ti5": 142, "1215367": 142, "zr5p2te4": 142, "1195116": 142, "pt4y3ge13": 142, "1220720": 142, "co3nb2g": 142, "1188741": 142, "co2zr3si3": 142, "1215915": 142, "scys2": 142, "1183042": 142, "ru2zrsi": 142, "1215624": 142, "cdzn4se5": 142, "1218020": 142, "feta2s4": 142, "1184580": 142, "hfrh2zn": 142, "1212110": 142, "insn2cl5": 142, "1218977": 142, "pd3pt3sn2": 142, "1215423": 142, "zr2p3": 142, "1224978": 142, "co3fes8": 142, "22941": 142, "bicacu": 142, "1216698": 142, "tiss": 142, "1192374": 142, "kas3ge3": 142, "1226731": 142, "cdhg4se5": 142, "1189871": 142, "sn3zr5n": 142, "1224212": 142, "1189266": 142, "cr3ks5": 142, "1203283": 142, "ga40mo8sc": 142, "1215203": 142, "cuvzr": 142, "1218915": 142, "1224536": 142, "in6sn8s19": 142, "1220348": 142, "alganb6": 142, "1220546": 142, "crfenb": 142, "1104502": 142, "bimo6s8": 142, "1221510": 142, "mnzn4se5": 142, "1217191": 142, "mo2ti3si3": 142, "1217229": 142, "mo2tisi6": 142, "573145": 142, "csga3s5": 142, "1227372": 142, "biirt": 142, "1219015": 142, "aupd3sn2": 142, "1216134": 142, "rh12y2p7": 142, "1224862": 142, "bi3ga4a": 142, "1218912": 142, "snsse": 142, "1183688": 142, "crgaru2": 142, "1193368": 142, "conb4se8": 142, "1206177": 142, "snyge": 142, "1227051": 142, "camns2": 142, "1221610": 142, "mngete2": 142, "1224901": 142, "fe3gaa": 142, "1214794": 142, "1208241": 142, "feti4se8": 142, "1227574": 142, "au5ca4cd3": 142, "1222181": 142, "mn12pt4n": 142, "1184221": 142, "1212416": 142, "crhfp": 142, "1213642": 142, "1147709": 142, "cusr2h6": 142, "1224272": 142, "hfste": 142, "1228015": 142, "almosi": 142, "1215638": 142, "fezr2s4": 142, "1193918": 142, "hf9w4p": 142, "1221432": 142, "cr3na2se6": 142, "1213816": 142, "crrua": 142, "1221559": 142, "mnvas2": 142, "1219480": 142, "aupd3sb8": 142, "1207032": 142, "pd2yp2": 142, "1227206": 142, "capbse2": 142, "1215430": 142, "1195769": 142, "in3nas5": 142, "1183633": 142, "aucdpd2": 142, "1188001": 142, "irtczr2": 142, "1188796": 142, "ru7sc4ge6": 142, "1224121": 142, "hfzrs6": 142, "1220613": 142, "cdnb6se8": 142, "1216739": 142, "tiw3p4": 142, "1116769": 142, "1186003": 142, "au2mnzn": 142, "1216724": 142, "fe2vs4": 142, "1219446": 142, "pdassb": 142, "1215450": 142, "1183147": 142, "al2ferh": 142, "1215478": 142, "co3vzr2": 142, "1219262": 142, "1215329": 142, "al2znzr": 142, "1227045": 142, "capdh2": 142, "1217151": 142, "cr3ti2si": 142, "1207095": 142, "aupsi": 142, "977592": 142, "bi2rh3s2": 142, "1186954": 142, "irossc2": 142, "1206635": 142, "hgna2sn": 142, "1187461": 142, "osti2v": 142, "1013643": 142, "bisr3p": 142, "1186957": 142, "osrhsc2": 142, "1221741": 142, "comn3p4": 142, "1224867": 142, "cofega2": 142, "1224427": 142, "fe4hfta": 142, "1186102": 142, "ag2nasn": 142, "1216430": 142, "snv6si": 142, "1222132": 142, "cumn10ge5": 142, "1218414": 142, "cdsr2zn3": 142, "1216503": 142, "inv6s8": 142, "1220356": 142, "aunb6pt": 142, "1206080": 142, "zn2zrge": 142, "1206863": 142, "1186006": 142, "mnruv2": 142, "867779": 142, "crfeta2": 142, "1215241": 142, "fevzr": 142, "1215476": 142, "1217314": 142, "1225420": 142, "fe3w4n8": 142, "1218034": 142, "cuta2v3": 142, "1206591": 142, "crru2sn": 142, "1224275": 142, "hftav4": 142, "1229118": 142, "ag6snsb": 142, "1224831": 142, "29379": 142, "bik3te3": 142, "1190761": 142, "ganacl4": 142, "1229005": 142, "agsns2": 142, "1228943": 142, "alga3n4": 142, "866132": 142, "na2tlsb": 142, "570930": 142, "bi2pb2se5": 142, "20948": 142, "nbnip2": 142, "1219795": 142, "ni6snse2": 142, "569881": 142, "ni2srsb2": 142, "1207078": 142, "canih3": 142, "1188020": 142, "nitczr2": 142, "1246609": 142, "mn2nin2": 142, "27916": 142, "1219304": 142, "mo9nisi6": 142, "1245636": 142, "cry2n3": 142, "1215378": 142, "ni3zr4as8": 142, "1210618": 142, "mn3nisi": 142, "17207": 142, "tl4ges4": 142, "1225871": 142, "1095547": 142, "ni9ti2zr": 142, "1245808": 142, "ca4irn4": 142, "1226111": 142, "co7nip4": 142, "1079862": 142, "pdsrtl2": 142, "11873": 142, "pd5tla": 142, "1187208": 142, "reta2w": 142, "1246874": 142, "al2inn3": 142, "1227340": 142, "bisbte3": 142, "1207820": 142, "niy3ge2": 142, "1216917": 142, "1207728": 142, "y5ge2sb2": 142, "650442": 142, "agtl3te2": 142, "1216178": 142, "cu2ga4y3": 142, "9622": 142, "sntl4s3": 142, "1218029": 142, "ni3ta2g": 142, "1207222": 142, "rb2vcl6": 142, "29666": 142, "bi2sete2": 142, "3534": 142, "ge2sb2te5": 142, "1218028": 142, "mota4s10": 142, "1246490": 142, "ferbn": 142, "1245706": 142, "mnnin2": 142, "1228914": 142, "al4crni15": 142, "1222076": 142, "cu2ga3mn4": 142, "10430": 142, "nb5ni4p4": 142, "30293": 142, "sr2gese4": 142, "1217197": 142, "alni12ti3": 142, "1215987": 142, "fenii": 142, "1216167": 142, "co5ni5y2": 142, "5921": 142, "alni2ta": 142, "1228918": 142, "algani6": 142, "1194450": 142, "al16rh7ti6": 142, "9010": 142, "1216496": 142, "ga2snv9": 142, "27369": 142, "rbcl3ge": 142, "1220435": 142, "nb6tlse8": 142, "569511": 142, "nipdt": 142, "1218345": 142, "al4casr": 142, "1216772": 142, "co9mov2": 142, "1102032": 142, "hfnip": 142, "1224395": 142, "al6fe6hf": 142, "1077397": 142, "cdni4sc": 142, "5748": 142, "alhfni2": 142, "1104139": 142, "ni4ta5p4": 142, "1222110": 142, "ga2mnni9": 142, "1207113": 142, "rbrh2p2": 142, "1223976": 142, "in3sbte2": 142, "29658": 142, "nizrh3": 142, "5109": [142, 154], "ni2yge2": 142, "1188762": 142, "nitap2": 142, "676540": 142, "tls2sb": 142, "1247327": 142, "fekn": 142, "8799": 142, "narb": 142, "1187935": 142, "gani2zn": 142, "1224908": 142, "fenisb6": 142, "1220599": 142, "nbniv": 142, "1080653": 142, "fenip": 142, "1256151": 142, "alni4zr5": 142, "23472": 142, "ag2recl6": 142, "1224810": 142, "fenisb4": 142, "38605": 142, "bi2snte4": 142, "1218117": 142, "in2ta3s6": 142, "8190": 142, "tl2s3si": 142, "1209823": 142, "ni2pdp": 142, "1025396": 142, "nbtl3se4": 142, "554310": 142, "bitls2": 142, "4762": 142, "ag3tls2": 142, "15320": 142, "ca2vn2": 142, "1208923": 142, "hg2srtl2": 142, "1246058": 142, "ca4ren4": 142, "1209214": 142, "hg5rbcl11": 142, "1218541": 142, "casn16sr3": 142, "1226323": 142, "cr3nip4": 142, "1209948": 142, "fenbse5": 142, "1215957": 142, "conii": 142, "1245538": 142, "mnznn2": 142, "697144": 142, "rbh2n": 142, "29153": 142, "nizr2p": 142, "1227630": 142, "ca2cdtl": 142, "977540": 142, "bicapd2": 142, "13313": 142, "sctlse2": 142, "10446": 142, "nisc6te2": 142, "1080693": 142, "bi2cs2pd": 142, "1245971": 142, "resrn2": 142, "1025176": 142, "ga5hfni": 142, "1217228": 142, "al11niti4": 142, "1226065": 142, "coni5s8": 142, "1220483": 142, "nb6tls8": 142, "1102545": 142, "hftl2se3": 142, "865651": 142, "cdtly2": 142, "862367": 142, "nirusc2": 142, "5186": 142, "niscsn": 142, "9791": [142, 147], "tl3ass3": 142, "1095176": 142, "narb3h4": 142, "1227503": 142, "cain2s4": 142, "865641": 142, "niruy2": 142, "989623": 142, "resrn3": 142, "1224473": 142, "hf2nis4": 142, "1224713": 142, "fe2nip": 142, "1221876": 142, "cr3mn3p2": 142, "15120": 142, "fe2rbse3": 142, "1224193": 142, "hfmo4zr": 142, "1204805": 142, "ga40mo8g": 142, "3785": 142, "gatlte2": 142, "1194643": 142, "al15ni3ge4": 142, "696804": 142, "1196760": 142, "rh4sc5si10": 142, "22580": 142, "gani2zr": 142, "1215234": 142, "mnnizr": 142, "1195050": 142, "ir2snse5": 142, "1224437": 142, "hf4ni3as8": 142, "1221776": 142, "mn3ni4sb": 142, "977162": 142, "napbtl2": 142, "1186953": 142, "agsc2zn": 142, "1183155": 142, "al2nio": 142, "1190262": 142, "ruzr5sb3": 142, "685928": 142, "rb5tc3s7": 142, "1221310": 142, "na2sr3as4": 142, "1246243": 142, "ca8mn3n8": 142, "862360": 142, "irnisc2": 142, "1191828": 142, "cr2ga6zr3": 142, "1207724": 142, "rhy2si3": 142, "9579": 142, "altlse2": 142, "1245505": 142, "mn2vn3": 142, "1219475": 142, "sb2sete2": 142, "974690": 142, "curb2cl4": 142, "1216741": 142, "fe3tl2se4": 142, "1224947": 142, "fenipt6": 142, "1070356": 142, "pdrb2te2": 142, "1207784": 142, "co2y5te2": 142, "1219132": 142, "more2se4": 142, "9845": 142, "carba": 142, "1217065": 142, "cu3niti8": 142, "22636": 142, "nitag": 142, "13314": 142, "sctlte2": 142, "12463": 142, "nipd2te2": 142, "1184619": 142, "hf2reru": 142, "1207121": 142, "fe2nisi": 142, "1227788": 142, "ca2pb3tl3": 142, "3129": 142, "niscsi3": 142, "20242": 142, "mnrba": 142, "608081": 142, "aupb4rb3": 142, "1220594": 142, "crnbni": 142, "1226006": 142, "conisi4": 142, "1246370": 142, "sr4gen4": 142, "1216108": 142, "cdy4s7": 142, "998713": 142, "intlcl3": 142, "1224529": 142, "hfinni2": 142, "1216439": 142, "coniv6": 142, "1232268": 142, "agcr2s4": 142, "1246385": 142, "k2mnn2": 142, "1215357": 142, "alcozr": 142, "8117": 142, "mo3rbs3": 142, "1226056": 142, "co5cus8": 142, "1111296": 142, "ktlcl3": 142, "23055": 142, "curbcl3": 142, "1224944": 142, "cu4gani15": 142, "1238843": 142, "cr2nas4": 142, "1110997": 142, "aurbcl3": 142, "1199965": 142, "rh2ge3s3": 142, "29303": 142, "sn5tl4s12": 142, "1221903": 142, "mn7ni8sn": 142, "1245537": 142, "1210141": 142, "ga2nb3cl9": 142, "31309": 142, "inrbse2": 142, "1192454": 142, "nb4tis8": 142, "1246123": 142, "ca5os2n4": 142, "1203419": 142, "1197835": 142, "ga2hfmn": 142, "28945": 142, "nip3si2": 142, "1226009": 142, "conias2": 142, "1216074": 142, "niy3si3": 142, "1224885": 142, "gani2ge3": 142, "1217383": 142, "pd5se2te8": 142, "1217179": 142, "crti4te8": 142, "1224910": 142, "fenite4": 142, "1025318": 142, "coni2se4": 142, "29371": 142, "garb2sb2": 142, "1226130": 142, "cr5nis8": 142, "1218042": 142, "co4mota": 142, "1226120": 142, "conisb6": 142, "1197723": 142, "1095594": 142, "agtl": 142, "1191713": 142, "ga6hf3v2": 142, "1247246": 142, "snsrn2": 142, "21301": 142, "inni2sc": 142, "1224860": 142, "gani6g": 142, "1217989": 142, "conita4": 142, "1066131": 142, "tlys2": 142, "1206510": 142, "nisn2zr6": 142, "11401": 142, "ga2nisc": 142, "1215577": 142, "nizr2s4": 142, "1221748": 142, "almn8nb3": 142, "1220443": 142, "monbse4": 142, "1217070": 142, "1188435": 142, "1238847": 142, "1227656": 142, "bi3pbte5": 142, "30805": 142, "nisn3sr": 142, "1220743": 142, "ga3nbni12": 142, "23486": 142, "nirbcl3": 142, "23059": 142, "rb2sncl6": 142, "1228971": 142, "alau2v9": 142, "21175": 142, "gani2ta": 142, "1193575": 142, "mnnb4se8": 142, "14090": 142, "cutlse2": 142, "1086669": 142, "niwp2": 142, "1209063": 142, "re4as5s4": 142, "1218678": 142, "al2in4sr3": 142, "1102702": 142, "hfnige": 142, "3525": 142, "18290": 142, "ga5sr6n": 142, "1223870": 142, "al3hf2pd": 142, "23005": 142, "bi4pbte7": 142, "9251": 142, "pt2tlte3": 142, "1186761": 142, "mnreta2": 142, "3363": 142, "ni2sc2sn": 142, "1219259": 142, "ni3w2si": 142, "15121": 142, "fe2rbte3": 142, "1216775": 142, "867799": 142, "aubica2": 142, "1189438": 142, "bi2tlcl7": 142, "570558": 142, "nbrb2cl6": 142, "1103685": 142, "mo3rbse3": 142, "1192856": 142, "rb2wse4": 142, "1220670": 142, "alcr8nb3": 142, "1226064": 142, "conis4": 142, "28759": 142, "al7tl3s12": 142, "1201774": 142, "cs3asse4": 142, "558706": 142, "ga3rbs5": 142, "22056": 142, "in2nii": 142, "1211890": 142, "1193568": 142, "al16ir7zr6": 142, "1220732": 142, "nb2ni3si": 142, "1188531": 142, "cupb3zr5": 142, "542629": 142, "mo9rb2se10": 142, "1221333": 142, "mnnisb2": 142, "1221515": 142, "568476": 142, "13094": 142, "al2nii": 142, "1216066": 142, "coru3y2": 142, "862368": 142, "niptsc2": 142, "1218909": 142, "pb4snte5": 142, "1216612": 142, "in5tls8": 142, "1183617": 142, "ag2cain": 142, "1227364": 142, "au6ca5si4": 142, "1079718": 142, "ni3rb2s4": 142, "1188501": 142, "ga4mn3ni9": 142, "11338": 142, "ni2sc3si3": 142, "1226121": 142, "bi4csse7": 142, "637771": 142, "inni4zr": 142, "22426": 142, "niscsi": 142, "7562": 142, "tatl3s4": 142, "998173": 142, "pdrbcl3": 142, "1220746": 142, "nb2ni3g": 142, "14242": 142, "tl2gese3": 142, "3469": 142, "ni2zrsb": 142, "867849": 142, "28242": 142, "tl6cl4": 142, "1104526": 142, "ni4scas2": 142, "1188352": 142, "alv4n3": 142, "1224067": 142, "hfw4zr": 142, "1207011": 142, "inni4sc": 142, "1188089": 142, "k2ni3se4": 142, "568020": 142, "tl3site3": 142, "30027": 142, "crrbcl3": 142, "1211743": 142, "alkse2": 142, "1245702": 142, "ca5ir2n6": 142, "7632": 142, "monip": 142, "30231": 142, "garbcl4": 142, "1246515": 142, "ca6n2te3": 142, "1209089": 142, "al9co3sc2": 142, "561051": 142, "rb2s7sb4": 142, "1245673": 142, "fe2mn3n4": 142, "1207627": 142, "pd2yge": 142, "1247566": 142, "ca5ge2n6": 142, "1224255": 142, "1194113": 142, "y2zns4": 142, "27947": 142, "snsb2te4": 142, "540818": 142, "tl2ge2se5": 142, "1218955": 142, "bi3snte4": 142, "582146": 142, "csnb4cl11": 142, "1206941": 142, "co2rbp2": 142, "1187716": 142, "cuy2zn": 142, "1221342": 142, "mnnip2": 142, "1227235": 142, "cacds2": 142, "1193188": 142, "co7ga16hf6": 142, "1193708": 142, "al2p3s9": 142, "1207717": 142, "pd2y5sb": 142, "1224798": 142, "coga2ni": 142, "1228913": 142, "al2coni": 142, "1228910": 142, "9630": 142, "crtls2": 142, "972119": 142, "casrtl2": 142, "1246970": 142, "ca4pbn4": 142, "1188009": 142, "ag2cdzr": 142, "1068746": 142, "pd3tlh": 142, "1224940": 142, "ga3ni12sn": 142, "1228374": 142, "al5feni": 142, "29618": 142, "niw2p3": 142, "1228972": 142, "alconi6": 142, "977567": 142, "cuhf2r": 142, "1216622": 142, "pd6tla": 142, "510041": 142, "hf2ni2sn": 142, "1228921": 142, "al3ni2pt": 142, "1224791": 142, "gani2pt": 142, "1223749": 142, "inni2sn": 142, "1228426": 142, "al2nipt": 142, "1183173": 142, "algani2": 142, "1228861": 142, "alni6pd": 142, "1225169": 142, "fega2ni9": 142, "1226004": 142, "conipt2": 142, "1184299": 142, "ga2niru": 142, "1228186": 142, "al4ni3pt": 142, "14336": 142, "cs2ni3se4": 142, "582988": 142, "bi12ptcl12": 142, "1219293": 142, "cl9nsi3": 142, "1229119": 142, "alni12pt3": 142, "1029531": 142, "resr3n3": 142, "8717": 142, "mnrb2se2": 142, "1206849": 142, "ausrp": 142, "1213692": 142, "ag3cste2": 142, "1194390": 142, "ptsc3si3": 142, "1202025": 142, "v3zr2ge4": 142, "1194990": 142, "pt6srp2": 142, "1195837": 142, "auga40mo8": 142, "1183453": 142, "ca2hgtl": 142, "1025457": 142, "al5hfni2": 142, "1226820": 142, "cd5s4te": 142, "998156": 142, "rbsncl3": 142, "8766": 142, "corb2s2": 142, "1221734": 142, "mn4assb3": 142, "17030": 142, "mo6rbse7": 142, "1203027": 142, "agga40mo8": 142, "1203338": 142, "ga40mo8sn": 142, "1184997": 142, "au2krb": 142, "1228845": 142, "alni4as3": 142, "1206558": 142, "cs2ptas2": 142, "974790": 142, "cd2rb5tl11": 142, "1216135": 142, "y4zrsi3": 142, "1210229": 142, "in2nb3cl9": 142, "1203241": 142, "pdsc6te2": 142, "505278": 142, "ni2zr9p4": 142, "1215416": 142, "v5zr7n2": 142, "510040": 142, "ni2snzr2": 142, "29168": 142, "birb3se3": 142, "1247351": 142, "os2sr5n6": 142, "1226013": 142, "conise2": 142, "1215663": 142, "ni3zr2si": 142, "557929": 142, "cu6tls4": 142, "1192824": 142, "knb2cl11": 142, "1247569": 142, "insr2n2": 142, "28851": 142, "cd3na4se5": 142, "504957": 142, "rbrecl4": 142, "12359": 142, "agsbte2": 142, "975275": 142, "na2rbsb": 142, "1187940": 142, "curezr2": 142, "29387": 142, "bi3k5sn": 142, "1207467": 142, "inzn4s6": 142, "8159": 142, "cu4tls3": 142, "1215729": 142, "ni9znge2": 142, "1069771": 142, "pdrb2se2": 142, "1224770": 142, "fe3nias4": 142, "1111497": 142, "bik3cl6": 142, "1209179": 142, "rbcl6sb": 142, "1193021": 142, "cs3snte3": 142, "1200452": 142, "al2co15y2": 142, "1224850": 142, "fesbt": 142, "541879": 142, "rb2ge2s5": 142, "1207446": 142, "fe6sn6zr": 142, "1191589": 142, "ca2ni12as7": 142, "1187707": 142, "alcdy2": 142, "1216961": 142, "inv9s12": 142, "866869": 142, "1204392": 142, "mntige2": 142, "1193832": 142, "femo4zr9": 142, "1219645": 142, "bi4rbse7": 142, "7499": 142, "sn2tl2s5": 142, "1217370": 142, "nb3ni12ti": 142, "1209508": 142, "mo3rbcl7": 142, "642735": 142, "ptrb2h4": 142, "1202780": 142, "ca3ir4ge13": 142, "1187731": 142, "hgy2zn": 142, "1215327": 142, "alirzr": 142, "1245562": 142, "cdn2si": 142, "569442": 142, "aurbcl4": 142, "1238855": 142, "7086": 142, "ferbse2": 142, "1219458": 142, "rhsbte": 142, "1206320": 142, "rbsccl3": 142, "977353": 142, "moreta2": 142, "1220596": 142, "agnb4s8": 142, "1025329": 142, "pt5tlsi": 142, "29873": 142, "cdrb2cl4": 142, "1173040": 142, "in4sbte3": 142, "1218077": 142, "nita2s4": 142, "1217078": 142, "coniti2": 142, "1220013": 142, "ni4as3s5": 142, "1025549": 142, "tl3vse4": 142, "1224865": 142, "fe3ni3p2": 142, "1215302": 142, "alpdzr": 142, "1217770": 142, "agta2s4": 142, "1246556": 142, "srvn2": 142, "972935": 142, "ni2sczn": 142, "1206926": 142, "rbrh2as2": 142, "1069139": 142, "nisrsi3": 142, "30041": 142, "birbs2": 142, "1245861": 142, "mnren2": 142, "675391": 142, "1104183": 142, "bi2mnse4": 142, "1238831": 142, "1224691": 142, "fe2sbte3": 142, "976148": 142, "k2rbsb": 142, "27948": 142, "bi2gete4": 142, "998748": 142, "agtlcl3": 142, "1224378": 142, "gesb4te4": 142, "1218039": 142, "ni3ta2si": 142, "676398": 142, "crrb2cl4": 142, "7929": 142, "ptrb2s2": 142, "1114665": 142, "rb3sccl6": 142, "1246302": 142, "sr3vn3": 142, "8714": 142, "mnrb2s2": 142, "9680": 142, "alna3te3": 142, "641924": 142, "bi2pbs4": 142, "1218136": 142, "nita4s8": 142, "1192696": 142, "co4sc4ge7": 142, "4016": 142, "gatls2": 142, "1186187": 142, "nasntl2": 142, "1226011": 142, "coni3si4": 142, "1219948": 142, "niss": 142, "27385": 142, "ktlcl4": 142, "1215885": 142, "mn2ni4zr3": 142, "1220470": 142, "nb6znte8": 142, "12520": 142, "ni2srg": 142, "1218804": 142, "au15in17sr4": 142, "1194520": 142, "al2rb4s5": 142, "1102687": 142, "nizrg": 142, "1079265": 142, "nirhp": 142, "1221252": 142, "hgna2tl": 142, "981377": 142, "retcv2": 142, "1215406": 142, "1029312": 142, "rbvn2": 142, "998324": 142, "carbcl3": 142, "1186961": 142, "hgsc2tl": 142, "1184757": 142, "aucdk2": 142, "1227419": 142, "al9camn3": 142, "1187718": 142, "cuosy2": 142, "1223307": 142, "krbcl2": 142, "975144": 142, "rbzn4as3": 142, "1077903": 142, "pd3tl2se2": 142, "1221656": 142, "al2mnni": 142, "1078517": 142, "ferbs2": 142, "10554": 142, "ca3tln": 142, "1221531": 142, "mn2sbte": 142, "1184118": 142, "cdcs3h5": 142, "1218424": 142, "casr9si6": 142, "1227407": 142, "bi2sb2te3": 142, "19810": 142, "nitate2": 142, "1079831": 142, "hfresi": 142, "1228832": 142, "alni6g": 142, "1212191": 142, "hfnia": 142, "1215413": 142, "567318": 142, "tlsbse2": 142, "1246089": 142, "sr4vn4": 142, "4828": 142, "hfni2sn": 142, "1114664": 142, "rb3ascl6": 142, "580748": 142, "re3clse4": 142, "1227486": 142, "bis3sb": 142, "1245698": 142, "crznn2": 142, "3432": 142, "niscsb": 142, "1187706": 142, "cdhgy2": 142, "1215366": 142, "fenizr4": 142, "1079802": 142, "niyge2": 142, "1219473": 142, "sb4se3te3": 142, "1217832": 142, "ni6tati": 142, "1097067": 142, "csren2": 142, "1077950": 142, "pd3tl2s2": 142, "1224834": 142, "gani6si": 142, "1227356": 142, "bi2se2t": 142, "1245850": 142, "crmn3n3": 142, "1223828": 142, "al3hf2ni": 142, "1189147": 142, "1192510": 142, "rbas3ge3": 142, "1226037": 142, "conip": 142, "1212409": 142, "1219761": 142, "pt3rh2se10": 142, "1219513": 142, "ass6sb3": 142, "1217242": 142, "al3ti20si9": 142, "1208629": 142, "sr5assb2": 142, "1245785": 142, "ca2run3": 142, "1224244": 142, "867851": 142, "au3rb2tl": 142, "8612": 142, "sb2se2t": 142, "1219266": 142, "nipdsi2": 142, "1220385": 142, "nbgesi": 142, "1224765": 142, "fe3nisb8": 142, "1218018": 142, "gani3ta2": 142, "1209791": 142, "niwp8": 142, "1207727": 142, "y5sb2si2": 142, "1245407": 142, "y3ge6n11": 142, "1246821": 142, "ni3sr8n8": 142, "1188929": 142, "nb3tis6": 142, "1247333": 142, "cr2sr9n8": 142, "1191078": 142, "ni12y2p7": 142, "27195": 142, "bi2in4s9": 142, "1198311": 142, "hftl4se4": 142, "1209153": 142, "alrbh4": 142, "1079158": 142, "retasi": 142, "1187876": 142, "pbrh2y": 142, "1103567": 142, "nizr4p": 142, "1220099": 142, "ni4sn3sb9": 142, "998155": 142, "rbsrcl3": 142, "1245855": 142, "rusr2n2": 142, "505820": 142, "1246957": 142, "ca4rhn4": 142, "1206679": 142, "bipti": 142, "1245451": 142, "nb2znn4": 142, "1247538": 142, "mnzrn2": 142, "3498": 142, "gahfni2": 142, "1218140": 142, "al4ni15ta": 142, "1246735": 142, "cosr2n2": 142, "1225290": 142, "1247289": 142, "co5mnn4": 142, "1224540": 142, "ga3hfni12": 142, "1226039": 142, "conite4": 142, "769218": 142, "nip2s6": 142, "1215365": 142, "1200971": 142, "nb3sc2ge4": 142, "1196730": 142, "al3fe14y2": 142, "1226512": 142, "1101967": 142, "conba": 142, "1186887": 142, "bina2rb": 142, "1220488": 142, "binb6te8": 142, "1102542": 142, "hf4nip": 142, "1245848": 142, "n2s3sb4": 142, "865232": 142, "aupd2tl": 142, "1232302": 142, "1221714": 142, "al24crmn": 142, "1208973": 142, "ga8nisc2": 142, "1245445": 142, "ca3mn3n5": 142, "1221798": 142, "28230": 142, "1225772": 142, "cu3pd13s7": 142, "1187280": 142, "crta3se6": 142, "1245832": 142, "cacun": 142, "1205610": 142, "cs2pdp2": 142, "1216016": 142, "ni4v2zr3": 142, "1238823": 142, "cr2css4": 142, "20740": 142, "pbtl4te3": 142, "989647": 142, "reyn3": 142, "1216091": 142, "ga3niy2": 142, "8769": 142, "corb2se2": 142, "1226740": 142, "cdsnte2": 142, "1215371": 142, "cunizr4": 142, "1247360": 142, "ca3inn3": 142, "29603": 142, "rb2zrte3": 142, "1220522": 142, "conbv": 142, "1207142": 142, "co2rbas2": 142, "1219472": 142, "al6fe6sc": 142, "977205": 142, "napdtl2": 142, "1225810": 142, "569526": 142, "1217285": 142, "al4ni15ti": 142, "1238876": 142, "1189011": 142, "crta3s6": 142, "1220476": 142, "al2nbni9": 142, "559492": 142, "ni2tls2": 142, "1245922": 142, "rbn3si2": 142, "1247361": 142, "femn2n2": 142, "1226284": 142, "crni3sb4": 142, "1206088": 142, "niysi2": 142, "1215811": 142, "alco8zr3": 142, "1079407": 142, "niwp": 142, "31452": 142, "binizr": 142, "1224986": 142, "fenip6": 142, "1079966": 142, "crnip": 142, "1247331": 142, "al2yn3": 142, "9272": 142, "pt2tls3": 142, "1245401": 142, "crmnn2": 142, "1078643": 142, "na3rbh4": 142, "29623": 142, "bi2srzn": 142, "1217966": 142, "altasi": 142, "7066": 142, "niscg": 142, "998201": 142, "agrbcl3": 142, "10850": 142, "pdsbte": 142, "637866": 142, "ni5sc9ge8": 142, "27438": 142, "bitlte2": 142, "1246793": 142, "femn10n8": 142, "1217064": 142, "coni2ti": 142, "1215385": 142, "tazr4ge4": 142, "1238825": 142, "12781": 142, "al2nisc": 142, "975140": 142, "rbzn4p3": 142, "1078767": 142, "alhfni": 142, "1217213": 142, "coti5se10": 142, "1246571": 142, "comn2n2": 142, "8393": 142, "tl3s3sb": 142, "998147": 142, "cutlcl3": 142, "1228043": 142, "alni2si": 142, "1224435": 142, "hf2ruv3": 142, "1247277": 142, "femn3n3": 142, "3944": [142, 154], "alni2zr": 142, "1103923": 142, "mo6tlse8": 142, "1218063": 142, "crnita": 142, "9391": 142, "ni2tate3": 142, "1219369": 142, "alnisc": 142, "1220579": 142, "nbni3p2": 142, "18305": 142, "rb3asse4": 142, "1193423": 142, "nb4ni4si7": 142, "1210697": 142, "nasr4as4": 142, "924129": 142, "nisnzr": 142, "1247428": 142, "ca3ren3": 142, "1245896": 142, "fenan": 142, "1228938": 142, "alcuni6": 142, "30807": 142, "ni4snzr": 142, "1183482": 142, "ca2curh": 142, "980659": 142, "bitl3cl6": 142, "1205741": 142, "mntia": 142, "1072255": 142, "auni4sc": 142, "11400": 142, "gani2sc": 142, "1216478": 142, "cu2v7s12": 142, "1216602": 142, "pbpd9tl2": 142, "1246002": 142, "sngen2": 142, "1238894": 142, "5372": 142, "1193899": 142, "fe4ta4si7": 142, "1228500": 142, "al4ni15sb": 142, "1219661": 142, "pt4rbge4": 142, "1191663": 142, "rucl2te8": 142, "1179970": 142, "ni2gep": 142, "1200972": 142, "crhfge2": 142, "1224878": 142, "ga2ni5te4": 142, "1195855": 142, "re3y2si5": 142, "29458": 142, "mo2rb3cl9": 142, "28760": 142, "krb": 142, "1206518": 142, "ferbcl3": 142, "1216850": 142, "cuniti": 142, "10898": 142, "alni2sc": 142, "1247459": 142, "cr3sr8n8": 142, "1190866": 142, "ca4ni20h": 142, "1220810": 142, "nb10sn3ge3": 142, "1194044": 142, "co2v4n": 142, "642190": 142, "bi2ni3s2": 142, "865051": 142, "ca2natl": 142, "1184005": 142, "cugani2": 142, "1219193": 142, "ni6gesi": 142, "1187511": 142, "more2ti": 142, "1204061": 142, "k4as2se5": 142, "1224913": 142, "ga2ni7ge2": 142, "1183456": 142, "agca2pd": 142, "1219496": 142, "rusb2t": 142, "1193847": 142, "al16co7hf6": 142, "1219280": 142, "mo2ni3si": 142, "1216592": 142, "1246731": 142, "cosr3n3": 142, "1209191": 142, "pbrbcl3": 142, "1217224": 142, "co5niti4": 142, "1104896": 142, "tlv5s8": 142, "1216210": 142, "al6cu6i": 142, "1103174": 142, "fe2tls3": 142, "28941": 142, "ag2hfs3": 142, "569753": 142, "cotlcl3": 142, "11639": 142, "rb2ges3": 142, "29556": 142, "tl2wcl6": 142, "31406": 142, "1219799": 142, "ni6snsb": 142, "1226957": 142, "au12cd3in": 142, "1226054": 142, "1215662": 142, "crfe3zr2": 142, "1246702": 142, "ca5co2n6": 142, "562537": 142, "ni3ta2s8": 142, "5818": 142, "sntl4s4": 142, "1246637": 142, "y2zn3n4": 142, "1218548": 142, "1224455": 142, "in2p3se9": 142, "601861": 142, "inrbs2": 142, "1208991": 142, "sc3v2si3": 142, "4647": 142, "cu8k3se6": 142, "17048": 142, "rb2ws4": 142, "1193199": 142, "hf9re4p": 142, "18556": 142, "cd3rb2s4": 142, "1202662": 142, "sc2w3si4": 142, "4988": 142, "tlass2": 142, "1225423": 142, "fe4w2n": 142, "1220786": 142, "nb12tlte16": 142, "1224875": 142, "fenise4": 142, "3587": 142, "ni2scsi2": 142, "1212695": 142, "ga2hg5se8": 142, "1217067": 142, "1218390": 142, "sr4zn3si5": 142, "4064": 142, "cani2p2": 142, "862424": 142, "nisc2tc": 142, "989611": 142, "1104069": 142, "ni4yas2": 142, "1215275": 142, "conizr": 142, "1215712": 142, "7277": 142, "tl2ges3": 142, "1246975": 142, "1209241": 142, "3849": 142, "fetls2": 142, "13312": 142, "sctls2": 142, "865878": 142, "nitcti2": 142, "1247419": 142, "ge2n2s": 142, "1215961": 142, "feni4i": 142, "675477": 142, "bi2sn4se7": 142, "1220369": 142, "nbrev": 142, "1246073": 142, "snsr4n4": 142, "675989": 142, "bitl9se6": 142, "1103213": 142, "ossbt": 142, "30973": 142, "bi2ni3se2": 142, "1184611": 142, "hf2irni": 142, "29744": 142, "mnrbse2": 142, "1216001": 142, "14241": 142, "tl2se3si": 142, "1247422": 142, "snzn4n4": 142, "1218379": 142, "gasr4si3": 142, "1029420": 142, "corbn": 142, "1217186": 142, "sn5ti3s12": 142, "1246648": 142, "zn4zrn4": 142, "977204": 142, "natl2sb": 142, "1101014": 142, "1187725": 142, "tly2zn": 142, "9145": 142, "rb2snse3": 142, "17401": 142, "aurb3sn4": 142, "31507": 142, "pbsb2te4": 142, "1247457": 142, "ca3cr3n5": 142, "697575": 142, "rb2znh4": 142, "1114619": 142, "birb3cl6": 142, "1211643": 142, "1246346": 142, "srzn2n2": 142, "1220298": 142, "ni17ge4se4": 142, "7295": 142, "cr5rbs8": 142, "630883": 142, "mo2ni6p3": 142, "1078514": 142, "nizrp2": 142, "1087499": 142, "nipdp": 142, "10240": 142, "niscp": 142, "1224326": 142, "ge3sete2": 142, "861918": 142, "cdsc2tl": 142, "29656": 142, "agbite2": 142, "865126": 142, "napd2tl": 142, "862361": 142, "niossc2": 142, "1186950": 142, "hginsc2": 142, "1077922": 142, "rh3tl2s2": 142, "568903": 142, "tlv5se8": 142, "1191353": 142, "garbh4": 142, "1246116": 142, "fe2mn9n8": 142, "1190092": 142, "ta3vs6": 142, "1209422": 142, "alrbcl4": 142, "1226019": 142, "co5nis8": 142, "1198948": 142, "rh4y5ge10": 142, "12307": 142, "tl2ge2s5": 142, "1239173": 142, "1114486": 142, "inrbcl3": 142, "1246926": 142, "mn10nin8": 142, "1147666": 142, "k2zn3s4": 142, "865689": 142, "in9ni4y11": 142, "553994": 142, "23408": 142, "bi2tl4s5": 142, "1187242": 142, "nbre2ta": 142, "998755": 142, "29889": 142, "pdtl2cl4": 142, "17701": 142, "nbsr2n3": 142, "1186966": 142, "insc2zn": 142, "1245699": 142, "mntin2": 142, "13416": 142, "inni2sc2": 142, "28843": 142, "sntl2te5": 142, "1192816": 142, "cs3sbse3": 142, "1226505": 142, "cr11nis16": 142, "30227": 142, "rb2wcl6": 142, "1245927": 142, "ti2n2": 142, "1226031": 142, "cr5nias3": 142, "1224768": 142, "fe3nias8": 142, "5918": 142, "hf2nip": 142, "1208243": 142, "nisn3ti5": 142, "1220914": 142, "nb2ni5te6": 142, "18691": 142, "ni3rb2se4": 142, "1213252": 142, "csy2cl7": 142, "1201230": 142, "bi2pb6s9": 142, "865665": 142, "retc2ti": 142, "1221396": 142, "nanb2se4": 142, "1220366": 142, "ganb6si": 142, "1186185": 142, "innatl2": 142, "1221548": 142, "mnrh2tl": 142, "1078621": 142, "intls2": 142, "7707": 142, "ni2zrsi2": 142, "1079999": 142, "nizr2p2": 142, "1246877": 142, "cuge2n3": 142, "29740": 142, "tlzn2sb2": 142, "861604": 142, "ca2pbtl": 142, "34292": 142, "tl9sbte6": 142, "1209302": 142, "rb2tccl6": 142, "10621": 142, "rbs2sb": 142, "19877": 142, "ni2snzr": 142, "1102844": 142, "nitaa": 142, "1206529": 142, "ir2rbp2": 142, "1179773": 142, "1190141": 142, "na2s3t": 142, "1211981": 142, "kas3si3": 142, "10208": 142, "monip2": 142, "1215536": 142, "mo3zr2si": 142, "1218103": 142, "cu3ni9ta4": 142, "28818": 142, "cr5rbse8": 142, "11808": 142, "ni4scsn": 142, "1025248": 142, "pd5tlse": 142, "1206525": 142, "ausra": 142, "1238784": 142, "1190773": 142, "1220110": 142, "mo6nise8": 142, "1224725": 142, "8249": 142, "tlps3": 142, "1220883": 142, "nasbte2": 142, "1183460": 142, "ca2inpb": 142, "10287": 142, "mnrbte2": 142, "22950": 142, "csnicl3": 142, "1207196": 142, "ca2osh6": 142, "1218999": 142, "pd6sna": 142, "1206921": 142, "pdtia": 142, "1246833": 142, "sc4n2s3": 142, "1245417": 142, "insr3n3": 142, "1206135": 142, "fehf6sb2": 142, "1245993": 142, "rhsr3n3": 142, "1228817": 142, "alreg": 142, "1215532": 142, "fezn4se5": 142, "1218371": 142, "sr4s3se": 142, "1215566": 142, "zn5sse4": 142, "9794": 142, "rb2gese3": 142, "3602": 142, "al4nii": 142, "1226452": 142, "864807": 142, "hfni2zn": 142, "29238": 142, "agtls": 142, "1184754": 142, "bik2rb": 142, "16318": 142, "rbtis2": 142, "30460": 142, "binii": 142, "1232317": 142, "k2znse2": 142, "1224407": 142, "1226017": 142, "conite2": 142, "1018657": 142, "28011": 142, "sn2tl2s3": 142, "1224505": 142, "984761": 142, "csrb2sb": 142, "1205335": 142, "ag3rbs2": 142, "1216601": 142, "v3p4s12": 142, "27833": 142, "tl2cl6te": 142, "1215733": 142, "mn8zr3si": 142, "1215477": 142, "al3nizr2": 142, "1221364": 142, "mnnite2": 142, "1190500": 142, "1189472": 142, "1215627": 142, "re3vzr2": 142, "1187194": 142, "reta2ti": 142, "12521": 142, "ni3srge2": 142, "20938": 142, "in5rbs8": 142, "23949": 142, "carbh3": 142, "1182950": 142, "1189075": 142, "zr5gesb3": 142, "1218966": 142, "sn3sete2": 142, "1212231": 142, "hfnisb": 142, "1247185": 142, "cumn10n8": 142, "1215290": 142, "1192393": 142, "sn3sr14as12": 142, "1191202": 142, "1218041": 142, "alni6ta": 142, "1219410": 142, "ga4ni2sc3": 142, "1220167": 142, "ni11ge2te4": 142, "984696": 142, "hftl4te4": 142, "653981": 142, "nizr6cl15": 142, "1216677": 142, "pbpd15tl4": 142, "3708": 142, "fe3tlte3": 142, "1247194": 142, "srge7n10": 142, "1201566": 142, "tl3asse4": 142, "1227088": 142, "ag3ca6ge5": 142, "1229208": 142, "bi4cs2se7": 142, "1246021": 142, "ca3mn2n4": 142, "17220": 142, "rb3tas4": 142, "1197725": 142, "fe3y2si5": 142, "17803": 142, "nb2tl4s11": 142, "1220798": 142, "cd7na6s10": 142, "510445": 142, "ni10sn5p3": 142, "18648": 142, "ni12zr2p7": 142, "1226343": 142, "crfe11si4": 142, "1195758": 142, "rh4y3ge13": 142, "1245642": 142, "1245818": 142, "na3v6n11": 142, "22617": 142, "nisni": 142, "1227555": 142, "bi4pd15p": 142, "1207414": 142, "co2zr9p4": 142, "1219530": 142, "mo9ru3sb28": 142, "1216007": 142, "ni15yzr2": 142, "7684": 142, "tl3asse3": 142, "1247294": 142, "ca4mnn4": 142, "17811": 142, "cs3sbse4": 142, "1198205": 142, "os4y3ge13": 142, "618929": 142, "4316": 142, "ni2sras2": 142, "1197660": 142, "hfmnge2": 142, "30659": 142, "ga2ni3i": 142, "1197212": 142, "rescge2": 142, "1247259": 142, "ca3rhn3": 142, "1208557": 142, "nitasi": 142, "998611": 142, "569523": 142, "inni2y2": 142, "1220689": 142, "ga3nbzn3": 142, "1220148": 142, "nirh3as2": 142, "1247493": 142, "crna6n4": 142, "8786": 142, "nizr2as2": 142, "1226940": 142, "1206541": 142, "980661": 142, "ag2tli": 142, "16156": 142, "ni10srp6": 142, "570091": 142, "co2rbse2": 142, "1218004": 142, "ta2v3g": 142, "604516": 142, "alni2y2": 142, "1220046": 142, "ni11ge2se4": 142, "20804": 142, "au4in2rb": 142, "1212052": 142, "hg5in2te8": 142, "1114489": 142, "alrb3cl6": 142, "1215568": 142, "ir2oszr5": 142, "1188079": 142, "inni2zr2": 142, "1227512": 142, "bi4s3se3": 142, "1183458": 142, "ca2cdhg": 142, "1246711": 142, "ca2cdn2": 142, "1187708": 142, "agaly2": 142, "1206551": 142, "bi2ge2te5": 142, "1210211": 142, "ni16gep5": 142, "1206817": 142, "tlvcl3": 142, "1193800": 142, "hf9re4s": 142, "1188355": 142, "zr5psb3": 142, "1207736": 142, "ga9ir3y2": 142, "680555": 142, "gatlse2": 142, "1245558": 142, "mnnan": 142, "1246750": 142, "nagen": 142, "1225224": 142, "fe3ni3si2": 142, "20744": 142, "inni2zr": 142, "977407": 142, "hf2rerh": 142, "1246954": 142, "tizn4n4": 142, "1206083": 142, "crfea": 142, "1100781": 142, "ni2znzr": 142, "1079754": 142, "nipse3": 142, "1067744": 142, "tlyse2": 142, "1025447": 142, "cu4tlse3": 142, "1247394": 142, "mn2run3": 142, "1215600": 142, "conizr2": 142, "1246666": 142, "crsr4n4": 142, "867846": 142, "re2tati": 142, "1246521": 142, "pbge7n10": 142, "1226687": 142, "cs3sb5se9": 142, "1101952": 142, "hfnisi": 142, "1224005": 142, "1216566": 142, "pbpdtl": 142, "998195": 142, "1223682": 142, "insn2te3": 142, "1246567": 142, "ga2inn3": 142, "1247376": 142, "ptsr2n2": 142, "1179693": 142, "1186207": 142, "nb2reru": 142, "1209047": 142, "1246504": 142, "ca4osn4": 142, "975176": 142, "auhgrb2": 142, "1103859": 142, "mo6tls8": 142, "1226458": 142, "co3nisb12": 142, "5513": 142, "tl3vs4": 142, "30183": 142, "al5ni2zr": 142, "568100": 142, "recl4n": 142, "1246649": 142, "fe3sr3n5": 142, "1219441": 142, "mn2ni4sc3": 142, "1247555": 142, "mn2sr9n8": 142, "1192706": 142, "co4ta4si7": 142, "1245633": 142, "ca7rhn6": 142, "3084": 142, "ni12sc2p7": 142, "1206129": 142, "rbru2as2": 142, "9964": 142, "ti3tln": 142, "12360": 142, "9274": 142, "au3rb3sb2": 142, "9385": 142, "au3rbse2": 142, "1207428": 142, "nizra": 142, "644494": 142, "pdrb2h4": 142, "1187124": 142, "pbsr2tl": 142, "1224339": 142, "gesbte3": 142, "1220427": 142, "agnb6se8": 142, "669575": 142, "hf2inni2": 142, "1193319": 142, "rb3s3sb": 142, "1193337": 142, "cs5ga3se7": 142, "1192450": 142, "nizr5sb9": 142, "582751": 142, "co5gay5": 142, "1192877": 142, "al16co7ti6": 142, "1215503": 142, "1228554": 142, "al2ni9pd": 142, "1184592": 142, "hf2pdre": 142, "1215689": 142, "ga3nizr2": 142, "1221102": 142, "binate2": 142, "19906": 142, "998732": 142, "1247004": 142, "1216681": 142, "cr3v2si3": 142, "1206638": 142, "aunisn2": 142, "1225702": 142, "cuni3s8": 142, "1216567": 142, "in3tlse4": 142, "4030": 142, "pt3rb2s4": 142, "1216156": 142, "cu5ni5y2": 142, "1224356": 142, "ge5sete4": 142, "1238890": 142, "1220716": 142, "co3ganb2": 142, "1206568": 142, "cs2pdcl6": 142, "1225870": 142, "cstas3": 142, "1189260": 142, "crnb3s6": 142, "1202105": 142, "1207692": 142, "yzn3p3": 142, "773980": 142, "bi3cl10te2": 142, "1215438": 142, "cunizn2": 142, "1216672": 142, "4475": 142, "co2tlse2": 142, "1206718": 142, "niya": 142, "1216443": 142, "feniv6": 142, "1186942": 142, "ganisc2": 142, "20697": 142, "nizrsb": 142, "924128": 142, "hfnisn": 142, "1209111": 142, "975359": 142, "fe2rbas2": 142, "1080231": 142, "cstlcl3": 142, "1246068": 142, "ca4run4": 142, "20557": 142, "niysi": 142, "1221804": 142, "mn3nip2": 142, "1238795": 142, "1078355": 142, "13513": 142, "nisrge2": 142, "972861": 142, "sc2tctl": 142, "1247212": 142, "co3sr3n5": 142, "1220083": 142, "ni9sn2s2": 142, "18365": 142, "curbse4": 142, "1114506": 142, "rbtlcl3": 142, "1213982": 142, "cdga2cl8": 142, "1206858": 142, "rbru2p2": 142, "1246430": 142, "mozn3n4": 142, "10259": 142, "ni2zrp2": 142, "1219226": 142, "1205454": 142, "1215948": 142, "co3ni2i": 142, "1189986": 142, "ca3ga2p4": 142, "1216876": 142, "gani6ti": 142, "22566": 142, "685941": 142, "1187212": 142, "reta2tc": 142, "1245824": 142, "alin2n3": 142, "1246277": 142, "na6ren4": 142, "643022": 142, "pdrb3h5": 142, "20932": 142, "nbnip": 142, "1183955": 142, "1215379": 142, "conizr4": 142, "10076": 142, "hf3ni4ge4": 142, "1072437": 142, "ni4ysi": 142, "1217921": 142, "gani6ta": 142, "1187869": 142, "scyzn2": 142, "20506": 142, "nbnite2": 142, "1183931": 142, "au2csrb": 142, "1206964": 142, "nizr6sb2": 142, "1216490": 142, "gav9ge2": 142, "1228900": 142, "almog": 142, "4052": 142, "mn3rb2se4": 142, "1212045": 142, "fe4ksb12": 142, "1226811": 142, "1102430": 142, "irsbt": 142, "4573": 142, "tlsbte2": 142, "1223311": 142, "1221922": 142, "mn3ni3sn2": 142, "17638": 142, "rb3sbse4": 142, "1100995": 142, "cu7tls4": 142, "1209818": 142, "mo9ni7p6": 142, "505598": 142, "ni4zrp2": 142, "1215533": 142, "ni2znsi": 142, "1221530": 142, "mnzn4s5": 142, "608314": 142, "rb2zncl4": 142, "1221777": 142, "1078574": 142, "hfni2sb": 142, "1220468": 142, "nb6snte8": 142, "29562": 142, "motl2cl6": 142, "1207776": 142, "co6sn5y3": 142, "7038": 142, "pd2tlse3": 142, "862366": 142, "agsc2tl": 142, "17926": 142, "ni3zr3sb4": 142, "1212441": 142, "hf3ni3sb4": 142, "540687": 142, "bi2ge3te6": 142, "1192540": 142, "nb4nis8": 142, "1205652": 142, "nitlcl3": 142, "10644": 142, "tatl3se4": 142, "640024": 142, "1183466": 142, "1183463": 142, "ca2gazn": 142, "571147": 142, "hfni2si2": 142, "1191314": 142, "ni12y2as7": 142, "1114638": 142, "rb3ycl6": 142, "569044": 142, "bi2pb2te5": 142, "1226897": 142, "cd4hgse5": 142, "1183461": 142, "ca2tlzn": 142, "866012": 142, "hf2rezn": 142, "1068331": 142, "ni2sny2": 142, "9008": 142, "aurbt": 142, "1224506": 142, "al3hfni12": 142, "864898": 142, "bina2tl": 142, "568747": 142, "kni2se2": 142, "1189916": 142, "cdpb3zr5": 142, "1220090": 142, "ni3sb2te2": 142, "669418": 142, "nisr2n2": 142, "1215279": 142, "nivzr": 142, "1025353": 142, "pt5tla": 142, "1212167": 142, "cuin5se8": 142, "1103655": 142, "niyg": 142, "1227463": 142, "bisbte2": 142, "568501": 142, "bi2cdsr": 142, "1224651": 142, "fe8k3se8": 142, "4876": 142, "tl3sbse3": 142, "1246223": 142, "comn3n3": 142, "1079860": 142, "gahfni": 142, "1179796": 142, "co3rb2s4": 142, "1183493": 142, "ca2pdpt": 142, "1225914": 142, "1229039": 142, "al3ni12zn": 142, "1187770": 142, "intly2": 142, "22978": 142, "mnrb2cl4": 142, "22255": 142, "inrbte2": 142, "1188019": 142, "rerhzr2": 142, "1229014": 142, "ca3ga4in2": 142, "1070755": 142, "gani2y2": 142, "541487": 142, "pt2tlse3": 142, "1186933": 142, "cdgasc2": 142, "632502": 142, "1218586": 142, "ag4casr3": 142, "1190788": 142, "rhtate4": 142, "1227011": 142, "cd3cu2p10": 142, "1222474": 142, "cr13mn2s20": 142, "17945": 142, "rbpse6": 142, "865145": 142, "binatl2": 142, "1218404": 142, "al8casr3": 142, "1216113": 142, "mny4s7": 142, "20479": 142, "in4nisr": 142, "1198991": 142, "rb3h12n5": 142, "1189054": 142, "ga2sr3as4": 142, "13336": 142, "rbsc5te8": 142, "1217959": 142, "cutas2": 142, "1246690": 142, "mn2sr5n6": 142, "1246797": 142, "crmn2n3": 142, "1224649": 142, "in6pbte10": 142, "1201034": 142, "coga2zr": 142, "1104054": 142, "ni4yp2": 142, "1186955": 142, "nipdsc2": 142, "1247450": 142, "cdsr2n2": 142, "1228803": 142, "alnig": 142, "554212": 142, "ni3tl2s2": 142, "1246392": 142, "ca7v3n9": 142, "1246460": 142, "rusr2n3": 142, "569204": 142, "cu2tlte2": 142, "1199930": 142, "co14cu3y2": 142, "1220141": 142, "bi8ni8": 142, "1225891": 142, "8311": 142, "nip4si3": 142, "1246517": 142, "crni2n3": 142, "1226021": 142, "conig": 142, "8479": 142, "tl4s4si": 142, "1205641": 142, "ptrb2p2": 142, "1220151": 142, "mo6nite8": 142, "560663": 142, "co2rbs2": 142, "571370": 142, "981311": 142, "hg2srtl": 142, "572596": 142, "in3tls5": 142, "1226015": 142, "1191954": 142, "ga2ni6y3": 142, "1238845": 142, "643697": 142, "mnrb3h5": 142, "1246514": 142, "y4n2s3": 142, "24517": 142, "carb2h4": 142, "1227335": 142, "bi2ste2": 142, "1221827": 142, "mn3ni4sn": 142, "1077942": 142, "rb2se4t": 142, "1220423": 142, "nb6tlte8": 142, "1217901": 142, "nbtaw": 142, "1217097": 142, "nipdti2": 142, "559634": 142, "1219800": 142, "ni6ge2p": 142, "504909": 142, "ni2snp": 142, "567716": 142, "altlcl4": 142, "1112648": 142, "cs3tlcl6": 142, "1190136": 142, "al2au3sr": 142, "1025201": 142, "pdrb2cl4": 142, "643651": 142, "rb3znh5": 142, "18344": 142, "ta2tl4s11": 142, "1198114": 142, "rbsb3se5": 142, "1216351": 142, "gani6v": 142, "1216179": 142, "fe10ysi2": 142, "1212691": 142, "974682": 142, "garbh2": 142, "1246657": 142, "mnsr4n4": 142, "1222026": 142, "gamn2ni": 142, "1245434": 142, "snn10si7": 142, "1226048": 142, "863707": 142, "bikna2": 142, "1219797": 142, "ni6snte2": 142, "975237": 142, "mo3rbte3": 142, "1246229": 142, "ca9fe2n8": 142, "4638": 142, "crtlte2": 142, "1209161": 142, "rbsr2cl5": 142, "510422": 142, "ni2psi": 142, "862609": 142, "resctc2": 142, "1186936": 142, "conisc2": 142, "998610": 142, "1246496": 142, "cusr2n2": 142, "1184612": 142, "hf2nitc": 142, "1102854": 142, "niyp": 142, "1200760": 142, "hf2sc3si4": 142, "1193397": 142, "mo4nizr9": 142, "1209522": 142, "mn3rb2te4": 142, "542486": 142, "ni2sc3si4": 142, "1224893": 142, "fenis4": 142, "865127": 142, "cdnatl2": 142, "7379": 142, "cdtlsb": 142, "9731": 142, "aurbs": 142, "28145": 142, "pdrb2cl6": 142, "1226652": 142, "co3ni9p4": 142, "1215804": 142, "au12in3zn": 142, "1114625": 142, "inrb3cl6": 142, "1228691": 142, "al4gasb5": 142, "865654": 142, "agtly2": 142, "3021": [142, 147], "fe2tlse2": 142, "1216572": 142, "cr5v5ge6": 142, "570609": 142, "gatlcl4": 142, "646507": 142, "1182952": 142, "29592": 142, "recl9p": 142, "8378": 142, "tl3s4sb": 142, "1216057": 142, "niru3y2": 142, "999265": 142, "rbys2": 142, "998743": 142, "tlcl3ge": 142, "998605": 142, "22947": 142, "k2recl6": 142, "1225022": 142, "fe7ni5p4": 142, "18440": 142, "nbrb7as4": 142, "571623": 142, "al2bise4": 142, "1247040": 142, "mn3sr8n8": 142, "3019": 142, "sntl4te3": 142, "1246717": 142, "1209388": 142, "au2insc2": 142, "1246060": 142, "agzr2n3": 142, "1246509": 142, "ca3co3n5": 142, "1216912": 142, "tlv12s16": 142, "1219787": 142, "bi4rb2se7": 142, "1247284": 142, "hf2sr5n6": 142, "570290": 142, "mntlcl3": 142, "1224951": 142, "fenias4": 142, "1219442": 142, "pd2sbte": 142, "571550": 142, "1245524": 142, "cacrn2": 142, "1189957": 142, "rhta3s6": 142, "1217130": 142, "cuniti2": 142, "1183512": 142, "ca2sntl": 142, "1245598": 142, "ca3ru2n4": 142, "642845": 142, "ptrb3h5": 142, "1029403": 142, "rbge2n3": 142, "975423": 142, "mnnip": 142, "672335": 142, "in2ni9i": 142, "1226586": 142, "co2ni2te5": 142, "1218730": 142, "nisr2si3": 142, "1221749": 142, "femn3p4": 142, "676329": 142, "rb5re3s7": 142, "1220089": 142, "ni4as9ge3": 142, "1220426": 142, "monbni6": 142, "1206365": 142, "1238878": 142, "cr2rbs4": 142, "1102857": 142, "rusbt": 142, "1223733": 142, "1206397": 142, "cocra": 142, "676274": 142, "tl9sbse6": 142, "1218003": 142, "al2ni9ta": 142, "1247541": 142, "mnrhn2": 142, "541140": 142, "fe2tl3s4": 142, "1246856": 142, "ca3fe3n5": 142, "637263": 142, "1102603": 142, "ganii": 142, "1224915": 142, "gani4ge3": 142, "9580": 142, "3207": 142, "ni2srge2": 142, "1186938": 142, "aucdsc2": 142, "1219330": 142, "9798": 142, "rbsb2se4": 142, "1245664": 142, "crzr2n3": 142, "1247201": 142, "alinn2": 142, "3787": 142, "fe2rbs3": 142, "1206544": 142, "ptsrtl2": 142, "1215806": 142, "ni3znsi2": 142, "1205523": 142, "cosc2ge2": 142, "1245988": 142, "sc3sr3n5": 142, "1212900": 142, "cu2pd3se4": 142, "568940": 142, "ni2yp2": 142, "1246059": 142, "pbn10si7": 142, "1217864": 142, "nitav": 142, "1245856": 142, "998197": 142, "1219798": 142, "ni6sbte2": 142, "1226212": 142, "crnisb2": 142, "1187125": 142, "insr2tl": 142, "5501": 142, "co2tls2": 142, "1191660": 142, "co9ysi2": 142, "1188036": 142, "nizrh": 142, "998753": 142, "998151": 142, "catlcl3": 142, "1212682": 142, "fe3nisi": 142, "1246748": 142, "ca3ga3n5": 142, "1185055": 142, "1215561": 142, "ni3vzr2": 142, "1247199": 142, "mn3sr3n5": 142, "1224250": 142, "1219487": 142, "ptsbte": 142, "570910": 142, "865432": 142, "irniy2": 142, "1212597": 142, "cu2hf2in": 142, "9906": 142, "re4ysi2": 142, "1246446": 142, "fe3mn8n8": 142, "1104089": 142, "hfni4as2": 142, "1222167": 142, "11444": 142, "ga2nii": 142, "1245535": 142, "cdgen2": 142, "1220738": 142, "ganb2ni3": 142, "1188693": 142, "hf5nisb3": 142, "1196396": 142, "tl4gese4": 142, "1070498": 142, "ptrb2te2": 142, "1206550": 142, "fenig": 142, "1196650": 142, "na2re3se6": 142, "1224896": 142, "fepdsb6": 142, "1220035": 142, "niset": 142, "1216894": 142, "676250": 142, "bi2pbte4": 142, "1246110": 142, "ca4crn4": 142, "29662": 142, "bitlse2": 142, "865128": 142, "nasr2tl": 142, "1103583": 142, "mo3tlse3": 142, "1203073": 142, "crga2hf": 142, "1200507": 142, "hf2ni3p3": 142, "22975": 142, "rb2cl6te": 142, "28954": 142, "pdtl2se2": 142, "1216699": 142, "in5tl3se8": 142, "1224544": 142, "hf5sc5ge6": 142, "976190": 142, "au5k3tl": 142, "1192151": 142, "rb2zn5as4": 142, "17254": 142, "1189616": 142, "feta3s6": 142, "1257684": 142, "1221533": 142, "638104": 142, "nb2tl4se11": 142, "1224364": 142, "hf2ni3si": 142, "18127": 142, "ni4sn2sr": 142, "504968": 142, "ferbcl4": 142, "1220701": 142, "ir2nb3se10": 142, "1221554": 142, "mnnisi2": 142, "1186124": 142, "ca2narh": 142, "1102041": 142, "nitap": 142, "1185546": 142, "bicsrb2": 142, "1247449": 142, "sr3tan3": 142, "998604": 142, "867787": 142, "birbtl2": 142, "1018823": 142, "1217780": 142, "co3ta2g": 142, "1025191": 142, "ga5nisc": 142, "1215315": 142, "976236": 142, "canatl2": 142, "998787": 142, "1186005": 142, "mnni2zn": 142, "27829": 142, "rb2cl6se": 142, "4536": 142, "ni2scsn": 142, "11520": 142, "niysb": 142, "21413": 142, "mnrbp": 142, "1025348": 142, "pd5tlp": 142, "1223478": 142, "1192507": 142, "rh4yge2": 142, "23390": 142, "cdrbcl3": 142, "972241": 142, "retcti2": 142, "1227698": 142, "ca2intl": 142, "1228506": 142, "al4ni15v": 142, "5874": 142, "agtlt": 142, "22490": 142, "ni4sc3ge4": 142, "1224446": 142, "fe8hf3ta": 142, "30459": 142, "binisc": 142, "1245967": 142, "wzn3n4": 142, "1220138": 142, "mo4nin5": 142, "1078086": 142, "in2ni3se2": 142, "867881": 142, "rh2sctl": 142, "1224385": 142, "alhfpd": 142, "9846": 142, "carbsb": 142, "866169": 142, "biktl2": 142, "1219145": 142, "mo2rete4": 142, "972961": 142, "nirhsc2": 142, "1217923": 142, "moni6ta": 142, "1186959": 142, "sc2tlzn": 142, "20146": 142, "1245527": 142, "1224819": 142, "ga3ni4si": 142, "1183448": 142, "ca2cdga": 142, "542443": 142, "cr3tls5": 142, "1207763": 142, "ni2y3si2": 142, "27910": 142, "4160": 142, "tl3pse4": 142, "1221824": 142, "mn4ni5si3": 142, "542387": 142, "na6tlsb4": 142, "1105496": 142, "hg3rb2se4": 142, "28334": 142, "tl4se4si": 142, "1224859": 142, "1221505": 142, "1219954": 142, "nirusb6": 142, "1217418": 142, "mo2rute4": 142, "1186227": 142, "conb3se6": 142, "1228288": 142, "al4ni15g": 142, "1188159": 142, "bi3cuzr5": 142, "510001": 142, "ca2ni7p4": 142, "4721": 142, "571305": 142, "1225967": 142, "cspse6": 142, "1193748": 142, "alcs3te3": 142, "1247347": 142, "sr5ti2n6": 142, "oqmd": [142, 151], "349719": [142, 151], "345911": [142, 151], "agpd3": 142, "343039": [142, 151], "348629": [142, 151], "ag3cu": [142, 151], "343006": [142, 151], "ag3mo": [142, 151], "349813": [142, 151], "347528": [142, 151], "344251": [142, 151], "pdta3": [142, 151], "343394": [142, 151], "agmo3": [142, 151], "344635": [142, 151], "mo3ru": [142, 151], "344237": [142, 151], "346818": [142, 151], "pd3ru": [142, 151], "349496": [142, 151], "343615": [142, 151], "348366": [142, 151], "agta3": [142, 151], "345352": [142, 151], "auhf3": [142, 151], "346653": [142, 151], "aghf3": [142, 151], "ochch2": 142, "cohch2": 142, "nnch3": 142, "nh2nh2": 142, "onno2": 142, "ocho": 142, "cooh": 142, "ooh": 142, "pend": 142, "manual": 142, "adslab_filt": 142, "keep_all_slab": 142, "keep_slabs_with_miller_indic": 142, "43": [142, 147, 149, 153, 154, 157], "44": [142, 145, 147, 149, 153, 154], "51": [142, 144, 147, 149, 154, 157], "53": [142, 144, 147, 149, 154, 157, 158], "57": [142, 147, 149, 153, 154, 157], "86": [142, 147, 149, 157], "adsorbatebindingsit": 142, "other_field": 142, "equiformer_v2_31m_s2ef_all_md": 142, "adsorbateslabrelax": 142, "463768833067146": 142, "182563705069405e": 142, "231884416533573": 142, "3298388211951195": 142, "182563705069404e": 142, "55319156980987": 142, "4106281388445252": 142, "4432796070650378": 142, "124822732577936": 142, "4409653513198624e": 142, "6288530713766924": 142, "517730523269954": 142, "410628138844525": 142, "8144265356883461": 142, "821276627923945": 142, "4106281388445234": 142, "443279607065039": 142, "03546104653991": 142, "3705266201398682e": 142, "6288530713766913": 142, "428368837231925": 142, "410628138844524": 142, "8144265356883452": 142, "731914941885922": 142, "881784197001252e": 142, "886559214130077": 142, "4106281388445245": 142, "072132678441733": 142, "661338147750939e": 142, "257706142753386": 142, "886559214130079": 142, "410628138844523": 142, "072132678441731": 142, "220446049250313e": 142, "2577061427533853": 142, "329838821195118": 142, "8212562776890486": 142, "515412285506772": 142, "4106281388445236": 142, "700985749818426": 142, "8212562776890473": 142, "5154122855067715": 142, "700985749818425": 142, "231884416533574": 142, "231884416533572": 142, "82125627768905": 142, "8212562776890495": 142, "8212562776890477": 142, "4106281388445256": 142, "0531406942226225": 142, "642512555378097": 142, "053140694222621": 142, "642512555378099": 142, "053140694222622": 142, "642512555378098": 142, "642512555378096": 142, "231884416533575": 142, "slabmetadata": 142, "bulk_src_id": [142, 151, 154], "16666666666666677": 142, "adsorbateslabrelaxationresult": 142, "config_id": 142, "statu": [142, 145], "e7dc0a4a": 142, "78c4": 142, "461f": 142, "8463": 142, "f83ccc4aaee5": 142, "46376895904541": 142, "182563676237148e": 142, "231884479522705": 142, "329838752746582": 142, "553192138671875": 142, "410628080368042": 142, "443279504776001": 142, "12482261657715": 142, "4409653030285233e": 142, "6288530826568604": 142, "517730712890625": 142, "8144265413284302": 142, "821276664733887": 142, "4563262462615967": 142, "4243695735931396": 142, "065139770507812": 142, "3705266254700069e": 142, "428369522094727": 142, "731914520263672": 142, "886559009552002": 142, "072132587432861": 142, "2577061653137207": 142, "049197759479284286": 142, "871161937713623": 142, "07329750061035": 142, "821256160736084": 142, "515412330627441": 142, "700985908508301": 142, "3817023038864136": 142, "298975944519043": 142, "055999755859375": 142, "279107570648193": 142, "3854939937591553": 142, "077444076538086": 142, "823101758956909": 142, "892443656921387": 142, "03121566772461": 142, "4505090713500977": 142, "295906066894531": 142, "063718795776367": 142, "053140640258789": 142, "642512321472168": 142, "1937737464904785": 142, "3734583854675293": 142, "989471435546875": 142, "726957321166992": 142, "859827041625977": 142, "09041404724121": 142, "277471542358398": 142, "289664268493652": 142, "067333221435547": 142, "077878952026367": 142, "258153200149536": 142, "792970657348633": 142, "8796539306640625": 142, "6867241859436035": 142, "930171966552734": 142, "2469003200531006": 142, "energy_trajectori": 142, "7751011848449707": 142, "745682716369629": 142, "722376585006714": 142, "701378345489502": 142, "6816489696502686": 142, "6633033752441406": 142, "645724058151245": 142, "629044771194458": 142, "6129486560821533": 142, "59748911857605": 142, "582559108734131": 142, "5681087970733643": 142, "554079055786133": 142, "540437936782837": 142, "5271592140197754": 142, "5142226219177246": 142, "5016140937805176": 142, "4889121055603027": 142, "4769203662872314": 142, "4652175903320312": 142, "453134298324585": 142, "4420666694641113": 142, "4311699867248535": 142, "4205257892608643": 142, "4101197719573975": 142, "3999457359313965": 142, "38999080657959": 142, "380239963531494": 142, "3706846237182617": 142, "361313581466675": 142, "352121114730835": 142, "3431880474090576": 142, "334315299987793": 142, "325598955154419": 142, "317028045654297": 142, "3085978031158447": 142, "300297737121582": 142, "2921268939971924": 142, "284075975418091": 142, "2762420177459717": 142, "2684166431427": 142, "2607016563415527": 142, "25309157371521": 142, "245581865310669": 142, "238170862197876": 142, "230851411819458": 142, "224496841430664": 142, "2173681259155273": 142, "210296630859375": 142, "2033259868621826": 142, "1964335441589355": 142, "189615249633789": 142, "182868003845215": 142, "176190137863159": 142, "16957950592041": 142, "163160800933838": 142, "1566708087921143": 142, "1502418518066406": 142, "1438729763031006": 142, "137585401535034": 142, "131326913833618": 142, "1250033378601074": 142, "118821859359741": 142, "112691640853882": 142, "1066102981567383": 142, "1005706787109375": 142, "094578266143799": 142, "0884976387023926": 142, "0825793743133545": 142, "076697826385498": 142, "0708506107330322": 142, "0650382041931152": 142, "059246778488159": 142, "053495168685913": 142, "047771453857422": 142, "042076587677002": 142, "0364127159118652": 142, "030700922012329": 142, "0250911712646484": 142, "019510507583618": 142, "01395320892334": 142, "0084211826324463": 142, "002913236618042": 142, "9974286556243896": 142, "992086410522461": 142, "9866490364074707": 142, "9818100929260254": 142, "9764227867126465": 142, "971057415008545": 142, "9658534526824951": 142, "9605326652526855": 142, "9552373886108398": 142, "9499576091766357": 142, "9447033405303955": 142, "9394710063934326": 142, "9342615604400635": 142, "9290680885314941": 142, "9237043857574463": 142, "9185457229614258": 142, "9134001731872559": 142, "9082694053649902": 142, "9031524658203125": 142, "8980443477630615": 142, "8929495811462402": 142, "8878629207611084": 142, "8827874660491943": 142, "8779196739196777": 142, "8728611469268799": 142, "8678128719329834": 142, "8627748489379883": 142, "8577487468719482": 142, "852736234664917": 142, "847733974456787": 142, "8427438735961914": 142, "837766408920288": 142, "8328027725219727": 142, "8277697563171387": 142, "822829246520996": 142, "8179023265838623": 142, "812988042831421": 142, "8079214096069336": 142, "8030376434326172": 142, "7978265285491943": 142, "792966604232788": 142, "7881200313568115": 142, "783287763595581": 142, "7784700393676758": 142, "7736670970916748": 142, "7690441608428955": 142, "7642738819122314": 142, "7595791816711426": 142, "7548413276672363": 142, "750122308731079": 142, "7454171180725098": 142, "7407307624816895": 142, "7359623908996582": 142, "7313125133514404": 142, "726682424545288": 142, "7220711708068848": 142, "7174808979034424": 142, "7129099369049072": 142, "7083604335784912": 142, "7038323879241943": 142, "6993281841278076": 142, "6948435306549072": 142, "6903822422027588": 142, "6857192516326904": 142, "6812999248504639": 142, "6769022941589355": 142, "672450065612793": 142, "668257713317871": 142, "6639318466186523": 142, "6596283912658691": 142, "655259609222412": 142, "6510024070739746": 142, "646766185760498": 142, "642432451248169": 142, "6383206844329834": 142, "6341519355773926": 142, "6300044059753418": 142, "6258797645568848": 142, "621777057647705": 142, "617856740951538": 142, "6136360168457031": 142, "60959792137146": 142, "6055803298950195": 142, "6015820503234863": 142, "597607135772705": 142, "5936508178710938": 142, "5897150039672852": 142, "5857975482940674": 142, "5819017887115479": 142, "5780251026153564": 142, "574169635772705": 142, "5703320503234863": 142, "5665159225463867": 142, "562720537185669": 142, "5589442253112793": 142, "5551886558532715": 142, "5514521598815918": 142, "5477359294891357": 142, "5440397262573242": 142, "5403614044189453": 142, "536703109741211": 142, "5330638885498047": 142, "5293982028961182": 142, "525794506072998": 142, "5222082138061523": 142, "5186409950256348": 142, "5150902271270752": 142, "5115573406219482": 142, "5080411434173584": 142, "504542589187622": 142, "50105881690979": 142, "4975917339324951": 142, "4941413402557373": 142, "4907069206237793": 142, "487287998199463": 142, "4838836193084717": 142, "4804959297180176": 142, "4771227836608887": 142, "4737639427185059": 142, "4704182147979736": 142, "4670889377593994": 142, "4637737274169922": 142, "460472822189331": 142, "4572474956512451": 142, "4539735317230225": 142, "4507155418395996": 142, "4474716186523438": 142, "4442436695098877": 142, "4410293102264404": 142, "4378294944763184": 142, "4346377849578857": 142, "4314699172973633": 142, "4284026622772217": 142, "4252674579620361": 142, "4221668243408203": 142, "4190998077392578": 142, "4160664081573486": 142, "413034200668335": 142, "4100661277770996": 142, "4071297645568848": 142, "404224157333374": 142, "4010343551635742": 142, "398193359375": 142, "3953814506530762": 142, "3926002979278564": 142, "3899283409118652": 142, "3872056007385254": 142, "3845112323760986": 142, "3818438053131104": 142, "3792028427124023": 142, "3765883445739746": 142, "3739988803863525": 142, "3714349269866943": 142, "3688979148864746": 142, "3663835525512695": 142, "364255428314209": 142, "3617885112762451": 142, "3593425750732422": 142, "356919527053833": 142, "354358434677124": 142, "3516209125518799": 142, "3492627143859863": 142, "3469226360321045": 142, "3446085453033447": 142, "3423147201538086": 142, "340043306350708": 142, "3377346992492676": 142, "3356480598449707": 142, "3334364891052246": 142, "3312456607818604": 142, "3290753364562988": 142, "3269245624542236": 142, "3244726657867432": 142, "3223605155944824": 142, "320267915725708": 142, "3181941509246826": 142, "316138744354248": 142, "314100980758667": 142, "312082290649414": 142, "3100800514221191": 142, "3080956935882568": 142, "3061296939849854": 142, "3043482303619385": 142, "3024156093597412": 142, "3004369735717773": 142, "2985374927520752": 142, "296654462814331": 142, "2947871685028076": 142, "2929356098175049": 142, "2911005020141602": 142, "2894535064697266": 142, "2876489162445068": 142, "285860300064087": 142, "284052848815918": 142, "2822930812835693": 142, "280547857284546": 142, "2788166999816895": 142, "277099370956421": 142, "275465488433838": 142, "2737762928009033": 142, "2721004486083984": 142, "270437240600586": 142, "268787145614624": 142, "2671489715576172": 142, "2655231952667236": 142, "2639093399047852": 142, "262467622756958": 142, "2608773708343506": 142, "259369134902954": 142, "2578017711639404": 142, "2560062408447266": 142, "2544620037078857": 142, "2529284954071045": 142, "2514054775238037": 142, "2498936653137207": 142, "24839186668396": 142, "02690836414694786": 142, "02255561389029026": 142, "0036680542398244143": 142, "026768192648887634": 142, "029227247461676598": 142, "011282508261501789": 142, "026546014472842216": 142, "028442423790693283": 142, "0006822214345447719": 142, "05793401598930359": 142, "05845579877495766": 142, "023346414789557457": 142, "016263874247670174": 142, "016515998169779778": 142, "014871440827846527": 142, "034666139632463455": 142, "029178041964769363": 142, "011967972852289677": 142, "010707364417612553": 142, "021626999601721764": 142, "034007053822278976": 142, "030188564211130142": 142, "03835751488804817": 142, "027881981804966927": 142, "029037578031420708": 142, "022024763748049736": 142, "004596552345901728": 142, "23724916577339172": 142, "08999259769916534": 142, "09265122562646866": 142, "14953099191188812": 142, "2445559948682785": 142, "20135848224163055": 142, "5940519571304321": 142, "3523623943328857": 142, "080345153808594": 142, "20219647884368896": 142, "8002777099609375": 142, "08395004272461": 142, "2251695394515991": 142, "257873058319092": 142, "06412696838379": 142, "438990592956543": 142, "3185300827026367": 142, "112571716308594": 142, "9279510974884033": 142, "835691928863525": 142, "018463134765625": 142, "5935351848602295": 142, "233216285705566": 142, "088470458984375": 142, "296013832092285": 142, "3123269081115723": 142, "02815055847168": 142, "906605243682861": 142, "825644016265869": 142, "07801055908203": 142, "41026496887207": 142, "2402801513671875": 142, "077516555786133": 142, "258303642272949": 142, "6744272708892822": 142, "743671417236328": 142, "507687091827393": 142, "1705217361450195": 142, "137895584106445": 142, "0833098888397217": 142, "361112356185913": 142, "3466041088104248": 142, "3354508876800537": 142, "3247816562652588": 142, "3144853115081787": 142, "3047161102294922": 142, "2947988510131836": 142, "2850141525268555": 142, "2768170833587646": 142, "267359972000122": 142, "2587389945983887": 142, "2507047653198242": 142, "243138074874878": 142, "2361118793487549": 142, "229332447052002": 142, "2231059074401855": 142, "2169749736785889": 142, "2112107276916504": 142, "2053821086883545": 142, "2008161544799805": 142, "1957449913024902": 142, "1908462047576904": 142, "186152458190918": 142, "1816527843475342": 142, "1772823333740234": 142, "1730072498321533": 142, "168867826461792": 142, "165029764175415": 142, "1615455150604248": 142, "157999038696289": 142, "1545860767364502": 142, "1513030529022217": 142, "148144245147705": 142, "1447265148162842": 142, "1417922973632812": 142, "1389656066894531": 142, "1362419128417969": 142, "1336157321929932": 142, "1308565139770508": 142, "1284141540527344": 142, "1260592937469482": 142, "123788833618164": 142, "121485948562622": 142, "1193673610687256": 142, "117377519607544": 142, "1154017448425293": 142, "1134920120239258": 142, "1116461753845215": 142, "1098616123199463": 142, "108147382736206": 142, "1064751148223877": 142, "1048572063446045": 142, "103292465209961": 142, "1017756462097168": 142, "1003069877624512": 142, "098883867263794": 142, "0975043773651123": 142, "096165418624878": 142, "0945377349853516": 142, "093276023864746": 142, "0920507907867432": 142, "0909266471862793": 142, "0897717475891113": 142, "0886480808258057": 142, "0875539779663086": 142, "086488962173462": 142, "0855076313018799": 142, "084348201751709": 142, "0833640098571777": 142, "082406759262085": 142, "0814733505249023": 142, "080566167831421": 142, "0796840190887451": 142, "078829288482666": 142, "077603816986084": 142, "0768029689788818": 142, "0759057998657227": 142, "0751688480377197": 142, "0744667053222656": 142, "0738027095794678": 142, "0731806755065918": 142, "072542667388916": 142, "0720107555389404": 142, "0715336799621582": 142, "0711123943328857": 142, "0707497596740723": 142, "070448875427246": 142, "070211410522461": 142, "0700383186340332": 142, "0699305534362793": 142, "0701014995574951": 142, "0701758861541748": 142, "0702509880065918": 142, "0703797340393066": 142, "0705585479736328": 142, "070781946182251": 142, "0710442066192627": 142, "0710909366607666": 142, "0714166164398193": 142, "071768045425415": 142, "0721397399902344": 142, "072528600692749": 142, "0729310512542725": 142, "0733437538146973": 142, "073765754699707": 142, "0741932392120361": 142, "07462477684021": 142, "075059413909912": 142, "0754492282867432": 142, "0758891105651855": 142, "0758938789367676": 142, "0765058994293213": 142, "0769426822662354": 142, "0776357650756836": 142, "0780766010284424": 142, "0785174369812012": 142, "07895827293396": 142, "0793979167938232": 142, "0798132419586182": 142, "0802550315856934": 142, "0805821418762207": 142, "081139326095581": 142, "0815770626068115": 142, "0820136070251465": 142, "0824518203735352": 142, "0828897953033447": 142, "083327293395996": 142, "0846636295318604": 142, "085099697113037": 142, "0855350494384766": 142, "0859706401824951": 142, "0864050388336182": 142, "0871257781982422": 142, "0875613689422607": 142, "0879950523376465": 142, "0883533954620361": 142, "0887861251831055": 142, "0892155170440674": 142, "0894875526428223": 142, "0899081230163574": 142, "0903244018554688": 142, "0907351970672607": 142, "0913028717041016": 142, "0917024612426758": 142, "0921072959899902": 142, "0924947261810303": 142, "0928750038146973": 142, "093226671218872": 142, "093595027923584": 142, "0939545631408691": 142, "0943057537078857": 142, "0946476459503174": 142, "0947926044464111": 142, "0949153900146484": 142, "0952281951904297": 142, "0955312252044678": 142, "0960330963134766": 142, "096315860748291": 142, "0965890884399414": 142, "0968503952026367": 142, "0972988605499268": 142, "0975315570831299": 142, "0977511405944824": 142, "097959280014038": 142, "0981559753417969": 142, "0983383655548096": 142, "098522663116455": 142, "0986816883087158": 142, "0988271236419678": 142, "0992546081542969": 142, "099374771118164": 142, "0994820594787598": 142, "0995750427246094": 142, "0991158485412598": 142, "09918212890625": 142, "0992343425750732": 142, "0992722511291504": 142, "0992965698242188": 142, "0993070602416992": 142, "099303960800171": 142, "099287986755371": 142, "0992588996887207": 142, "0992193222045898": 142, "0989160537719727": 142, "0980682373046875": 142, "0979862213134766": 142, "0978896617889404": 142, "0977826118469238": 142, "0977675914764404": 142, "0976195335388184": 142, "0974740982055664": 142, "097318172454834": 142, "0970184803009033": 142, "0968430042266846": 142, "0966570377349854": 142, "0964617729187012": 142, "0962576866149902": 142, "0960447788238525": 142, "095822811126709": 142, "0955932140350342": 142, "09535813331604": 142, "0951147079467773": 142, "0948646068572998": 142, "0946099758148193": 142, "0943493843078613": 142, "094083547592163": 142, "0938119888305664": 142, "0934484004974365": 142, "0931696891784668": 142, "0928857326507568": 142, "0925986766815186": 142, "0923080444335938": 142, "0920155048370361": 142, "091719627380371": 142, "091421365737915": 142, "0911219120025635": 142, "0908188819885254": 142, "0907526016235352": 142, "0904500484466553": 142, "0904040336608887": 142, "0901002883911133": 142, "0897157192230225": 142, "0894107818603516": 142, "0891048908233643": 142, "0887997150421143": 142, "0889167785644531": 142, "0886170864105225": 142, "0883209705352783": 142, "0880260467529297": 142, "087733268737793": 142, "087444543838501": 142, "0871586799621582": 142, "0868773460388184": 142, "0865991115570068": 142, "0863251686096191": 142, "0860552787780762": 142, "085789680480957": 142, "0855302810668945": 142, "0852758884429932": 142, "0850245952606201": 142, "0847795009613037": 142, "0845413208007812": 142, "0843088626861572": 142, "0840816497802734": 142, "083862543106079": 142, "0827362537384033": 142, "0825450420379639": 142, "0822737216949463": 142, "0820937156677246": 142, "0819227695465088": 142, "081758737564087": 142, "0816011428833008": 142, "081451416015625": 142, "0813076496124268": 142, "0811734199523926": 142, "081045150756836": 142, "080925464630127": 142, "0808124542236328": 142, "0807075500488281": 142, "0806119441986084": 142, "0805230140686035": 142, "0804433822631836": 142, "0798518657684326": 142, "079789161682129": 142, "079735279083252": 142, "0796902179718018": 142, "0796549320220947": 142, "0795261859893799": 142, "07920241355896": 142, "079160451889038": 142, "0791633129119873": 142, "0791757106781006": 142, "079197645187378": 142, "0792298316955566": 142, "0792720317840576": 142, "0793251991271973": 142, "079390048980713": 142, "079465389251709": 142, "0795516967773438": 142, "0796186923980713": 142, "0796852111816406": 142, "0798063278198242": 142, "079939365386963": 142, "0800857543945312": 142, "0811996459960938": 142, "081369161605835": 142, "0814533233642578": 142, "0804274082183838": 142, "0806522369384766": 142, "0808873176574707": 142, "081134557723999": 142, "081395149230957": 142, "0816686153411865": 142, "0819544792175293": 142, "0821750164031982": 142, "082484483718872": 142, "0824224948883057": 142, "082608938217163": 142, "0829532146453857": 142, "02241041511297226": 142, "020742639899253845": 142, "00606698589399457": 142, "029304850846529007": 142, "018352452665567398": 142, "003385029034689069": 142, "030798055231571198": 142, "008497186005115509": 142, "0006579019245691597": 142, "032968759536743164": 142, "004784560762345791": 142, "008699997328221798": 142, "027723925188183784": 142, "025572510436177254": 142, "0041161044500768185": 142, "024464042857289314": 142, "019537553191184998": 142, "002597457030788064": 142, "02095935493707657": 142, "018338926136493683": 142, "0007950636208988726": 142, "034333597868680954": 142, "003065464086830616": 142, "020666182041168213": 142, "020540276542305946": 142, "013097104616463184": 142, "000697761308401823": 142, "1090039536356926": 142, "03115568496286869": 142, "002975453156977892": 142, "10390564054250717": 142, "031830377876758575": 142, "012292645871639252": 142, "3645485639572144": 142, "4996795654296875": 142, "118173599243164": 142, "03709696978330612": 142, "969715118408203": 142, "051193237304688": 142, "4280229806900024": 142, "376183986663818": 142, "04302978515625": 142, "215043544769287": 142, "5153615474700928": 142, "0450439453125": 142, "7947659492492676": 142, "9640045166015625": 142, "055158615112305": 142, "3773106336593628": 142, "398946762084961": 142, "06746482849121": 142, "999039649963379": 142, "5160531997680664": 142, "042985916137695": 142, "609366416931152": 142, "954651832580566": 142, "069629669189453": 142, "181629180908203": 142, "363102436065674": 142, "035812377929688": 142, "2765750885009766": 142, "2861108779907227": 142, "10274314880371": 142, "8119186162948608": 142, "4286634922027588": 142, "231380462646484": 142, "040778398513794": 142, "2259902954101562": 142, "2169899940490723": 142, "2104723453521729": 142, "203991413116455": 142, "1976497173309326": 142, "1913442611694336": 142, "1850783824920654": 142, "1789121627807617": 142, "1726388931274414": 142, "1663730144500732": 142, "1602857112884521": 142, "1541848182678223": 142, "1481297016143799": 142, "1421077251434326": 142, "1361467838287354": 142, "1302399635314941": 142, "124384880065918": 142, "1187267303466797": 142, "1129817962646484": 142, "107391357421875": 142, "1020526885986328": 142, "0967519283294678": 142, "0918638706207275": 142, "0871779918670654": 142, "082686424255371": 142, "0783703327178955": 142, "0742244720458984": 142, "070237636566162": 142, "066401720046997": 142, "0625391006469727": 142, "0589818954467773": 142, "0555739402770996": 142, "0522749423980713": 142, "0490927696228027": 142, "0460262298583984": 142, "0430703163146973": 142, "0409085750579834": 142, "0380358695983887": 142, "0353994369506836": 142, "0328588485717773": 142, "0311334133148193": 142, "0287866592407227": 142, "0265305042266846": 142, "024364709854126": 142, "0221092700958252": 142, "020113468170166": 142, "0182042121887207": 142, "0163755416870117": 142, "0146279335021973": 142, "0129616260528564": 142, "0113732814788818": 142, "009859561920166": 142, "0084218978881836": 142, "0070562362670898": 142, "0058152675628662": 142, "0045852661132812": 142, "0034215450286865": 142, "0023193359375": 142, "001279592514038": 142, "0002987384796143": 142, "999373733997345": 142, "9985029101371765": 142, "9979450106620789": 142, "9971786141395569": 142, "996460497379303": 142, "9957910180091858": 142, "9951679110527039": 142, "9945804476737976": 142, "9940478205680847": 142, "9935609698295593": 142, "9931634068489075": 142, "992760956287384": 142, "9924034476280212": 142, "992027223110199": 142, "9917574524879456": 142, "9915322661399841": 142, "9913503527641296": 142, "9912105202674866": 142, "9911109805107117": 142, "9910520911216736": 142, "9913168549537659": 142, "991325318813324": 142, "9913634657859802": 142, "9914277195930481": 142, "9915115237236023": 142, "9916909337043762": 142, "9918761849403381": 142, "9920024275779724": 142, "9921358227729797": 142, "9922755360603333": 142, "992421567440033": 142, "9922962784767151": 142, "9924494624137878": 142, "992607057094574": 142, "9927683472633362": 142, "9929340481758118": 142, "9931071400642395": 142, "9932877421379089": 142, "9934766888618469": 142, "9936768412590027": 142, "9938949942588806": 142, "9941745400428772": 142, "9944140315055847": 142, "9946691393852234": 142, "9949391484260559": 142, "995227038860321": 142, "9955294728279114": 142, "9958500266075134": 142, "9961844086647034": 142, "9965353608131409": 142, "9969016909599304": 142, "9972808957099915": 142, "9976744055747986": 142, "9980821013450623": 142, "9985025525093079": 142, "9989362359046936": 142, "9993255734443665": 142, "9997840523719788": 142, "0002539157867432": 142, "000734806060791": 142, "0010051727294922": 142, "0015034675598145": 142, "0020136833190918": 142, "0025296211242676": 142, "0030584335327148": 142, "0035953521728516": 142, "004141092300415": 142, "0046963691711426": 142, "0052151679992676": 142, "005784511566162": 142, "006115436553955": 142, "0066969394683838": 142, "0072858333587646": 142, "0078792572021484": 142, "0084939002990723": 142, "0090982913970947": 142, "0097084045410156": 142, "0103230476379395": 142, "0109436511993408": 142, "0115692615509033": 142, "0120904445648193": 142, "0128297805786133": 142, "013277530670166": 142, "013908863067627": 142, "0145413875579834": 142, "0151102542877197": 142, "0157454013824463": 142, "0163822174072266": 142, "0172011852264404": 142, "017836332321167": 142, "0184235572814941": 142, "0190558433532715": 142, "0196890830993652": 142, "0203211307525635": 142, "0209505558013916": 142, "021585464477539": 142, "0222101211547852": 142, "0227935314178467": 142, "0234134197235107": 142, "0240321159362793": 142, "0246455669403076": 142, "0252554416656494": 142, "0258605480194092": 142, "026482105255127": 142, "0270805358886719": 142, "027674913406372": 142, "028264045715332": 142, "0288474559783936": 142, "0294251441955566": 142, "0299961566925049": 142, "0305628776550293": 142, "0310494899749756": 142, "0316026210784912": 142, "0321478843688965": 142, "0326886177062988": 142, "033478021621704": 142, "0340018272399902": 142, "0345194339752197": 142, "0349304676055908": 142, "0352613925933838": 142, "0357542037963867": 142, "0365993976593018": 142, "0370879173278809": 142, "0376214981079102": 142, "0380923748016357": 142, "0384879112243652": 142, "038938283920288": 142, "039377212524414": 142, "0396134853363037": 142, "0400347709655762": 142, "0404462814331055": 142, "040848731994629": 142, "0412404537200928": 142, "0416224002838135": 142, "0419948101043701": 142, "0423216819763184": 142, "0426692962646484": 142, "0430083274841309": 142, "0433342456817627": 142, "0436503887176514": 142, "0439553260803223": 142, "044166088104248": 142, "0444490909576416": 142, "04471755027771": 142, "0449743270874023": 142, "0452189445495605": 142, "045452356338501": 142, "04567289352417": 142, "0458812713623047": 142, "0460765361785889": 142, "046257734298706": 142, "0463175773620605": 142, "0464708805084229": 142, "046612024307251": 142, "0467407703399658": 142, "0468547344207764": 142, "046954870223999": 142, "047041416168213": 142, "047114372253418": 142, "0471668243408203": 142, "047084093093872": 142, "0471153259277344": 142, "0468478202819824": 142, "046844720840454": 142, "0468297004699707": 142, "0466904640197754": 142, "0466513633728027": 142, "046602487564087": 142, "0465121269226074": 142, "0464422702789307": 142, "0463621616363525": 142, "0462749004364014": 142, "0461792945861816": 142, "0460755825042725": 142, "0460731983184814": 142, "0459566116333008": 142, "0458357334136963": 142, "0457096099853516": 142, "0455803871154785": 142, "0454459190368652": 142, "0453062057495117": 142, "0451667308807373": 142, "0450236797332764": 142, "0448806285858154": 142, "0448601245880127": 142, "0447185039520264": 142, "0442943572998047": 142, "0441539287567139": 142, "0440154075622559": 142, "0438785552978516": 142, "0437426567077637": 142, "0436112880706787": 142, "0435500144958496": 142, "0434248447418213": 142, "0433037281036377": 142, "0431857109069824": 142, "0430679321289062": 142, "0429191589355469": 142, "0428094863891602": 142, "0427038669586182": 142, "0426015853881836": 142, "0426883697509766": 142, "0427563190460205": 142, "0426700115203857": 142, "042586326599121": 142, "0425059795379639": 142, "0424284934997559": 142, "0426418781280518": 142, "0425689220428467": 142, "0414726734161377": 142, "0408594608306885": 142, "0407860279083252": 142, "0413365364074707": 142, "041275978088379": 142, "0412163734436035": 142, "0411033630371094": 142, "040830135345459": 142, "0407662391662598": 142, "040705919265747": 142, "040680170059204": 142, "040625810623169": 142, "040665864944458": 142, "04002046585083": 142, "0400505065917969": 142, "0400044918060303": 142, "0399599075317383": 142, "0399179458618164": 142, "039900302886963": 142, "039865255355835": 142, "0398318767547607": 142, "0403845310211182": 142, "0403509140014648": 142, "0403201580047607": 142, "040290355682373": 142, "0403800010681152": 142, "040395975112915": 142, "0403709411621094": 142, "0403499603271484": 142, "0403528213500977": 142, "008024484850466251": 142, "037841200828552246": 142, "03956212103366852": 142, "007713278755545616": 142, "04578428342938423": 142, "004790544044226408": 142, "007158901076763868": 142, "04013099893927574": 142, "0022509333211928606": 142, "010964407585561275": 142, "04955612123012543": 142, "0020067000295966864": 142, "017641467973589897": 142, "045436058193445206": 142, "005335851106792688": 142, "013690322637557983": 142, "047961339354515076": 142, "0002558982523623854": 142, "013181964866816998": 142, "04885102063417435": 142, "0038101528771221638": 142, "013546768575906754": 142, "04782477021217346": 142, "004150733817368746": 142, "020772451534867287": 142, "03757108002901077": 142, "005414943210780621": 142, "03160141035914421": 142, "07404347509145737": 142, "0497734509408474": 142, "053186748176813126": 142, "07979325950145721": 142, "1078290119767189": 142, "408341884613037": 142, "4305880069732666": 142, "093154907226562": 142, "003727307543158531": 142, "872772693634033": 142, "09088134765625": 142, "4518606662750244": 142, "295180797576904": 142, "038625717163086": 142, "149267196655273": 142, "4615182876586914": 142, "073720932006836": 142, "8235507011413574": 142, "873304843902588": 142, "065650939941406": 142, "4007396697998047": 142, "226474761962891": 142, "060007095336914": 142, "168060779571533": 142, "498753070831299": 142, "988101959228516": 142, "642667293548584": 142, "881018161773682": 142, "055612564086914": 142, "242644309997559": 142, "315962314605713": 142, "05478286743164": 142, "360655784606934": 142, "3995379209518433": 142, "602081298828125": 142, "83721923828125": 142, "049124836921692": 142, "351947784423828": 142, "1751668453216553": 142, "1410207748413086": 142, "115424871444702": 142, "094038486480713": 142, "0730695724487305": 142, "052542209625244": 142, "03249454498291": 142, "0127975940704346": 142, "9933836460113525": 142, "9742438793182373": 142, "9554014205932617": 142, "936861276626587": 142, "9185593128204346": 142, "9005732536315918": 142, "8830406665802002": 142, "8666794300079346": 142, "8507678508758545": 142, "8355257511138916": 142, "8208491802215576": 142, "8073039054870605": 142, "794520616531372": 142, "7823748588562012": 142, "770899772644043": 142, "7600955963134766": 142, "749706506729126": 142, "7397921085357666": 142, "7303111553192139": 142, "7212326526641846": 142, "7125043869018555": 142, "7041330337524414": 142, "696079969406128": 142, "6882731914520264": 142, "6808013916015625": 142, "6735925674438477": 142, "6666226387023926": 142, "659881591796875": 142, "6533536911010742": 142, "6470284461975098": 142, "640895128250122": 142, "634941577911377": 142, "629162073135376": 142, "6235449314117432": 142, "6180813312530518": 142, "6127662658691406": 142, "607590675354004": 142, "6025469303131104": 142, "5976293087005615": 142, "5928328037261963": 142, "5881469249725342": 142, "583573341369629": 142, "579221248626709": 142, "5748546123504639": 142, "5705819129943848": 142, "566399097442627": 142, "5622997283935547": 142, "5582823753356934": 142, "5543415546417236": 142, "550475835800171": 142, "5466790199279785": 142, "5429468154907227": 142, "5392792224884033": 142, "5358681678771973": 142, "5317909717559814": 142, "528296947479248": 142, "5248520374298096": 142, "5214521884918213": 142, "5180943012237549": 142, "5147767066955566": 142, "5114967823028564": 142, "5082526206970215": 142, "5050439834594727": 142, "5018680095672607": 142, "4987225532531738": 142, "4956121444702148": 142, "4925246238708496": 142, "4894647598266602": 142, "4864318370819092": 142, "4834232330322266": 142, "4804389476776123": 142, "4774749279022217": 142, "4745349884033203": 142, "471618413925171": 142, "4687249660491943": 142, "4658501148223877": 142, "4629955291748047": 142, "4601631164550781": 142, "4573509693145752": 142, "4545609951019287": 142, "4517886638641357": 142, "4490385055541992": 142, "4463067054748535": 142, "4435961246490479": 142, "4407844543457031": 142, "4381160736083984": 142, "4354686737060547": 142, "4328410625457764": 142, "4304783344268799": 142, "4278595447540283": 142, "425286054611206": 142, "422727108001709": 142, "420182466506958": 142, "4176502227783203": 142, "4151291847229004": 142, "4126200675964355": 142, "410120964050293": 142, "4076323509216309": 142, "405153512954712": 142, "4028170108795166": 142, "4003565311431885": 142, "397907018661499": 142, "394606113433838": 142, "392270803451538": 142, "389841079711914": 142, "387422800064087": 142, "3850150108337402": 142, "3826191425323486": 142, "380234956741333": 142, "3780789375305176": 142, "3757212162017822": 142, "3733763694763184": 142, "371044397354126": 142, "3687241077423096": 142, "3664205074310303": 142, "3641307353973389": 142, "3618571758270264": 142, "3595986366271973": 142, "3565304279327393": 142, "3543024063110352": 142, "351733684539795": 142, "3495383262634277": 142, "3473610877990723": 142, "345201015472412": 142, "3430585861206055": 142, "3409342765808105": 142, "3388285636901855": 142, "3367395401000977": 142, "3346683979034424": 142, "3326144218444824": 142, "330578327178955": 142, "3285613059997559": 142, "3265602588653564": 142, "3245751857757568": 142, "3226094245910645": 142, "3206586837768555": 142, "3187255859375": 142, "3168084621429443": 142, "3149077892303467": 142, "3130245208740234": 142, "311157464981079": 142, "3093066215515137": 142, "3074729442596436": 142, "305654525756836": 142, "3038525581359863": 142, "3020665645599365": 142, "3005125522613525": 142, "298759937286377": 142, "2971820831298828": 142, "2954645156860352": 142, "29376220703125": 142, "2920775413513184": 142, "2904107570648193": 142, "2887606620788574": 142, "2871277332305908": 142, "2855134010314941": 142, "283916711807251": 142, "2823379039764404": 142, "2807772159576416": 142, "2792353630065918": 142, "2777116298675537": 142, "2762064933776855": 142, "274721622467041": 142, "273254156112671": 142, "2718064785003662": 142, "2703773975372314": 142, "268967866897583": 142, "2675771713256836": 142, "2662057876586914": 142, "2648537158966064": 142, "2635202407836914": 142, "262206792831421": 142, "2609751224517822": 142, "2596991062164307": 142, "2584412097930908": 142, "257201910018921": 142, "255981683731079": 142, "2547783851623535": 142, "2535934448242188": 142, "2522447109222412": 142, "251201868057251": 142, "250070571899414": 142, "248955249786377": 142, "2478570938110352": 142, "2467741966247559": 142, "2457077503204346": 142, "2446551322937012": 142, "243619441986084": 142, "242598056793213": 142, "2415895462036133": 142, "2405972480773926": 142, "2396178245544434": 142, "2386515140533447": 142, "237699270248413": 142, "2367591857910156": 142, "2358331680297852": 142, "2349183559417725": 142, "2340164184570312": 142, "2331266403198242": 142, "2322473526000977": 142, "2313802242279053": 142, "2305240631103516": 142, "2296781539916992": 142, "228844165802002": 142, "228020191192627": 142, "2272059917449951": 142, "2264022827148438": 142, "2256081104278564": 142, "2248234748840332": 142, "224048376083374": 142, "2232823371887207": 142, "2225253582000732": 142, "2217774391174316": 142, "2210538387298584": 142, "2203223705291748": 142, "2195987701416016": 142, "2188835144042969": 142, "2181758880615234": 142, "217475175857544": 142, "2167818546295166": 142, "216094970703125": 142, "2154154777526855": 142, "2147407531738281": 142, "2140741348266602": 142, "2134132385253906": 142, "2127580642700195": 142, "2120327949523926": 142, "2113893032073975": 142, "210752248764038": 142, "2101199626922607": 142, "20949387550354": 142, "2088720798492432": 142, "2082571983337402": 142, "2076454162597656": 142, "2070395946502686": 142, "2064383029937744": 142, "205841302871704": 142, "2052481174468994": 142, "2046613693237305": 142, "2040774822235107": 142, "203498363494873": 142, "2028436660766602": 142, "2022740840911865": 142, "2017076015472412": 142, "201146125793457": 142, "2005877494812012": 142, "2000336647033691": 142, "1994822025299072": 142, "1989350318908691": 142, "1983921527862549": 142, "1978509426116943": 142, "1973137855529785": 142, "1966657638549805": 142, "1961331367492676": 142, "195460319519043": 142, "1949329376220703": 142, "1944091320037842": 142, "1938872337341309": 142, "1933670043945312": 142, "1928493976593018": 142, "192333459854126": 142, "191819429397583": 142, "1913073062896729": 142, "1901187896728516": 142, "1896107196807861": 142, "1892719268798828": 142, "1887669563293457": 142, "1882503032684326": 142, "1877467632293701": 142, "187243938446045": 142, "186741828918457": 142, "1862807273864746": 142, "1857798099517822": 142, "185279130935669": 142, "1847782135009766": 142, "1843037605285645": 142, "1835582256317139": 142, "1830577850341797": 142, "1825573444366455": 142, "1820552349090576": 142, "1815533638000488": 142, "1810503005981445": 142, "180546760559082": 142, "1800427436828613": 142, "1795008182525635": 142, "1788296699523926": 142, "1783270835876465": 142, "1778242588043213": 142, "1773200035095215": 142, "176814317703247": 142, "1761808395385742": 142, "1756742000579834": 142, "0066756573505699635": 142, "0026084340643137693": 142, "0051847524009644985": 142, "0066029648296535015": 142, "0043725850991904736": 142, "0008732012938708067": 142, "009135041385889053": 142, "003921466879546642": 142, "006080619525164366": 142, "009741712361574173": 142, "010623135603964329": 142, "011081891134381294": 142, "006898345425724983": 142, "0018951143138110638": 142, "005678983870893717": 142, "01110929623246193": 142, "010696407407522202": 142, "017781613394618034": 142, "018860269337892532": 142, "008368030190467834": 142, "00012244738172739744": 142, "0067509980872273445": 142, "00276280683465302": 142, "0011246303329244256": 142, "010910357348620892": 142, "0007967471028678119": 142, "003221568651497364": 142, "07358814030885696": 142, "029359320178627968": 142, "05088278651237488": 142, "16880638897418976": 142, "049079738557338715": 142, "02891426533460617": 142, "384839653968811": 142, "429020881652832": 142, "053422927856445": 142, "033359676599502563": 142, "893969535827637": 142, "052507400512695": 142, "4266376495361328": 142, "335279941558838": 142, "07680892944336": 142, "225818634033203": 142, "4300930500030518": 142, "048250198364258": 142, "796229839324951": 142, "883062839508057": 142, "177581787109375": 142, "384817361831665": 142, "349284648895264": 142, "04863739013672": 142, "036680698394775": 142, "450462579727173": 142, "072200775146484": 142, "64606237411499": 142, "894399166107178": 142, "045949935913086": 142, "228234767913818": 142, "35084342956543": 142, "044654846191406": 142, "8644468784332275": 142, "770508289337158": 142, "173065185546875": 142, "947073221206665": 142, "926604270935059": 142, "483875274658203": 142, "9981716275215149": 142, "1575982570648193": 142, "151381254196167": 142, "145721435546875": 142, "1402015686035156": 142, "1348347663879395": 142, "1295981407165527": 142, "1244909763336182": 142, "119269609451294": 142, "114415168762207": 142, "1096928119659424": 142, "1053075790405273": 142, "1008450984954834": 142, "096519947052002": 142, "0923330783843994": 142, "088287115097046": 142, "0844035148620605": 142, "0806457996368408": 142, "0770385265350342": 142, "0735843181610107": 142, "0703582763671875": 142, "067230224609375": 142, "0642750263214111": 142, "0615017414093018": 142, "0590827465057373": 142, "0569734573364258": 142, "054924488067627": 142, "0533208847045898": 142, "051924467086792": 142, "0507071018218994": 142, "049647569656372": 142, "0487260818481445": 142, "0479052066802979": 142, "0472068786621094": 142, "0465953350067139": 142, "046058177947998": 142, "0455827713012695": 142, "045156717300415": 142, "0447731018066406": 142, "044421911239624": 142, "0440959930419922": 142, "0437893867492676": 142, "0434966087341309": 142, "0432121753692627": 142, "0427954196929932": 142, "0425198078155518": 142, "0422427654266357": 142, "041377305984497": 142, "0411899089813232": 142, "040879487991333": 142, "040560245513916": 142, "0403895378112793": 142, "0400540828704834": 142, "0397069454193115": 142, "0393500328063965": 142, "0389819145202637": 142, "0386040210723877": 142, "0382215976715088": 142, "0378305912017822": 142, "0374338626861572": 142, "0370337963104248": 142, "0366315841674805": 142, "0362277030944824": 142, "03582763671875": 142, "0354275703430176": 142, "0350329875946045": 142, "0346403121948242": 142, "0342535972595215": 142, "0338706970214844": 142, "0334930419921875": 142, "0331218242645264": 142, "032754898071289": 142, "0323927402496338": 142, "0316081047058105": 142, "0312492847442627": 142, "030895709991455": 142, "0305757522583008": 142, "0302295684814453": 142, "0298871994018555": 142, "0295486450195312": 142, "0292143821716309": 142, "0288827419281006": 142, "0285556316375732": 142, "0282304286956787": 142, "0279085636138916": 142, "0275905132293701": 142, "0272765159606934": 142, "0269646644592285": 142, "026655912399292": 142, "0253548622131348": 142, "0249669551849365": 142, "0246703624725342": 142, "024376630783081": 142, "0240871906280518": 142, "023801326751709": 142, "0235192775726318": 142, "0232408046722412": 142, "0226056575775146": 142, "022334337234497": 142, "0220651626586914": 142, "0218000411987305": 142, "021538257598877": 142, "0212786197662354": 142, "0210232734680176": 142, "0207698345184326": 142, "0205183029174805": 142, "0202703475952148": 142, "0200247764587402": 142, "0197803974151611": 142, "0195376873016357": 142, "0192978382110596": 142, "0190861225128174": 142, "0188515186309814": 142, "0186169147491455": 142, "0183820724487305": 142, "0181500911712646": 142, "017918348312378": 142, "0176870822906494": 142, "0174572467803955": 142, "0172276496887207": 142, "0169978141784668": 142, "0167701244354248": 142, "0165414810180664": 142, "0163121223449707": 142, "0160844326019287": 142, "015855073928833": 142, "0156261920928955": 142, "0153825283050537": 142, "015153169631958": 142, "0149240493774414": 142, "014458179473877": 142, "0142261981964111": 142, "0139923095703125": 142, "013728141784668": 142, "013493537902832": 142, "0132591724395752": 142, "0130250453948975": 142, "0127909183502197": 142, "0125560760498047": 142, "012321949005127": 142, "0120875835418701": 142, "011855125427246": 142, "011622428894043": 142, "0113906860351562": 142, "0111606121063232": 142, "0109307765960693": 142, "0107026100158691": 142, "0104763507843018": 142, "0102896690368652": 142, "0100655555725098": 142, "009843349456787": 142, "0096235275268555": 142, "009404182434082": 142, "0091869831085205": 142, "0089709758758545": 142, "0089027881622314": 142, "0086920261383057": 142, "0084829330444336": 142, "0082759857177734": 142, "0080716609954834": 142, "007868766784668": 142, "0076675415039062": 142, "0074682235717773": 142, "0072710514068604": 142, "0070765018463135": 142, "0068824291229248": 142, "0066909790039062": 142, "006502628326416": 142, "0063161849975586": 142, "0060696601867676": 142, "005887508392334": 142, "005706548690796": 142, "0055301189422607": 142, "005354881286621": 142, "0051825046539307": 142, "0050125122070312": 142, "0048465728759766": 142, "004683256149292": 142, "0045247077941895": 142, "0043666362762451": 142, "0042133331298828": 142, "0040631294250488": 142, "003915786743164": 142, "0037727355957031": 142, "0036325454711914": 142, "003495216369629": 142, "0033621788024902": 142, "0032329559326172": 142, "0031061172485352": 142, "0029830932617188": 142, "0028636455535889": 142, "0027313232421875": 142, "0026206970214844": 142, "002511739730835": 142, "0024051666259766": 142, "0023019313812256": 142, "0022015571594238": 142, "0021042823791504": 142, "0020103454589844": 142, "0019195079803467": 142, "0018324851989746": 142, "0017476081848145": 142, "0016651153564453": 142, "001586675643921": 142, "0015099048614502": 142, "0014371871948242": 142, "0013654232025146": 142, "0014662742614746": 142, "001399040222168": 142, "0013353824615479": 142, "0011930465698242": 142, "0011343955993652": 142, "000925064086914": 142, "0008678436279297": 142, "0008113384246826": 142, "0007567405700684": 142, "0007011890411377": 142, "0006484985351562": 142, "0005953311920166": 142, "0005440711975098": 142, "0004923343658447": 142, "000441312789917": 142, "0003905296325684": 142, "000040054321289": 142, "9999889731407166": 142, "9999392628669739": 142, "9998891949653625": 142, "9998403191566467": 142, "999790608882904": 142, "9997426867485046": 142, "9996964335441589": 142, "9996502995491028": 142, "9996053576469421": 142, "9995617270469666": 142, "9995883107185364": 142, "999546229839325": 142, "9995066523551941": 142, "9994686245918274": 142, "999433696269989": 142, "9993999600410461": 142, "9982110857963562": 142, "998176634311676": 142, "9981440901756287": 142, "9981165528297424": 142, "9980893731117249": 142, "9980661273002625": 142, "9980447888374329": 142, "9979812502861023": 142, "9979674220085144": 142, "9979527592658997": 142, "9979422688484192": 142, "997913658618927": 142, "9979729056358337": 142, "9979645609855652": 142, "9979581236839294": 142, "9979531168937683": 142, "9979497790336609": 142, "9979469180107117": 142, "9979454874992371": 142, "9979435801506042": 142, "9979446530342102": 142, "9979427456855774": 142, "9979432225227356": 142, "9979420304298401": 142, "9979415535926819": 142, "9979392886161804": 142, "9979376196861267": 142, "9979367852210999": 142, "9979317784309387": 142, "9979284405708313": 142, "9979240298271179": 142, "9979193806648254": 142, "9979509711265564": 142, "9979463219642639": 142, "9979391694068909": 142, "9979336857795715": 142, "9979262948036194": 142, "9979191422462463": 142, "9979113936424255": 142, "9979050755500793": 142, "9978973269462585": 142, "9978911280632019": 142, "9978849291801453": 142, "9978792071342468": 142, "9978918433189392": 142, "9978876709938049": 142, "9980241656303406": 142, "9980226159095764": 142, "9980234503746033": 142, "9980265498161316": 142, "9980300068855286": 142, "9980369210243225": 142, "9980435967445374": 142, "9980527758598328": 142, "9980667233467102": 142, "9980818629264832": 142, "9980997443199158": 142, "9981208443641663": 142, "9981443285942078": 142, "008603515103459358": 142, "0008318343316204846": 142, "01414051465690136": 142, "02172733098268509": 142, "005576832219958305": 142, "01038102712482214": 142, "007064470089972019": 142, "007723135408014059": 142, "019945360720157623": 142, "004949132911860943": 142, "003628040896728635": 142, "014559214934706688": 142, "020996056497097015": 142, "012157442979514599": 142, "07401283830404282": 142, "01714293472468853": 142, "02319292537868023": 142, "00330492970533669": 142, "006741926074028015": 142, "009162165224552155": 142, "018084121868014336": 142, "0016943441005423665": 142, "0057547506876289845": 142, "009256592951714993": 142, "005660402122884989": 142, "020789045840501785": 142, "0006212074658833444": 142, "03374238684773445": 142, "04861903935670853": 142, "012004350312054157": 142, "032716114073991776": 142, "004274898208677769": 142, "002444935729727149": 142, "4137513637542725": 142, "476072311401367": 142, "05474090576172": 142, "020491760224103928": 142, "871694564819336": 142, "037065505981445": 142, "3884133100509644": 142, "371949195861816": 142, "104515075683594": 142, "269016265869141": 142, "518340587615967": 142, "01870346069336": 142, "844271659851074": 142, "903824329376221": 142, "06787872314453": 142, "4932492971420288": 142, "346771717071533": 142, "026947021484375": 142, "076091289520264": 142, "4650628566741943": 142, "076662063598633": 142, "663188934326172": 142, "904170036315918": 142, "06710433959961": 142, "255949020385742": 142, "347731113433838": 142, "06642723083496": 142, "7026758193969727": 142, "32945704460144043": 142, "928821563720703": 142, "220150947570801": 142, "18603147566318512": 142, "605314254760742": 142, "200179100036621": 142, "1126885414123535": 142, "0984792709350586": 142, "0861496925354004": 142, "0745487213134766": 142, "063727855682373": 142, "0540530681610107": 142, "0451276302337646": 142, "0372655391693115": 142, "029526472091675": 142, "022904634475708": 142, "015876531600952": 142, "0091381072998047": 142, "0026423931121826": 142, "9963459968566895": 142, "9902172088623047": 142, "9842307567596436": 142, "9783635139465332": 142, "9724845886230469": 142, "9668033123016357": 142, "9611961841583252": 142, "955655813217163": 142, "9501729011535645": 142, "9449124336242676": 142, "9394829273223877": 142, "93414306640625": 142, "9288532733917236": 142, "9236140251159668": 142, "9184250831604004": 142, "9132826328277588": 142, "9081084728240967": 142, "9030647277832031": 142, "8980674743652344": 142, "893115758895874": 142, "8882076740264893": 142, "8835630416870117": 142, "878737449645996": 142, "8739516735076904": 142, "8692011833190918": 142, "8642914295196533": 142, "8596093654632568": 142, "8549587726593018": 142, "8503391742706299": 142, "8457505702972412": 142, "841191291809082": 142, "8366601467132568": 142, "832157850265503": 142, "8276824951171875": 142, "8232331275939941": 142, "8187568187713623": 142, "814361810684204": 142, "8099896907806396": 142, "8056411743164062": 142, "801314353942871": 142, "797010898590088": 142, "792726755142212": 142, "7884628772735596": 142, "7842211723327637": 142, "7799968719482422": 142, "775789499282837": 142, "7715976238250732": 142, "7674226760864258": 142, "7632639408111572": 142, "7591195106506348": 142, "754988193511963": 142, "7508697509765625": 142, "746706247329712": 142, "742654800415039": 142, "7386653423309326": 142, "7345943450927734": 142, "7305359840393066": 142, "7264885902404785": 142, "722660779953003": 142, "7186379432678223": 142, "7146248817443848": 142, "7106208801269531": 142, "7066278457641602": 142, "7026431560516357": 142, "698667049407959": 142, "694702386856079": 142, "6907460689544678": 142, "6868014335632324": 142, "682865858078003": 142, "678941011428833": 142, "6747736930847168": 142, "6708714962005615": 142, "6669824123382568": 142, "6631057262420654": 142, "659200668334961": 142, "6553497314453125": 142, "6515133380889893": 142, "6476905345916748": 142, "6438844203948975": 142, "64009428024292": 142, "636322021484375": 142, "6325669288635254": 142, "6288294792175293": 142, "625110387802124": 142, "621412992477417": 142, "6177353858947754": 142, "6140785217285156": 142, "6104440689086914": 142, "606830358505249": 142, "6032373905181885": 142, "5995821952819824": 142, "596036672592163": 142, "5925137996673584": 142, "5890376567840576": 142, "5857386589050293": 142, "5822844505310059": 142, "578852891921997": 142, "5754423141479492": 142, "5720536708831787": 142, "5686872005462646": 142, "5653400421142578": 142, "562013864517212": 142, "5587077140808105": 142, "555422306060791": 142, "5521559715270996": 142, "5489072799682617": 142, "5456759929656982": 142, "5424649715423584": 142, "5392699241638184": 142, "536090612411499": 142, "5329298973083496": 142, "529719352722168": 142, "5265867710113525": 142, "5234696865081787": 142, "5203680992126465": 142, "5172803401947021": 142, "5142078399658203": 142, "5111496448516846": 142, "5081055164337158": 142, "5050749778747559": 142, "502060890197754": 142, "4990599155426025": 142, "4960741996765137": 142, "4931020736694336": 142, "4901454448699951": 142, "4872050285339355": 142, "4842796325683594": 142, "4813709259033203": 142, "478325605392456": 142, "4754514694213867": 142, "4725940227508545": 142, "4697544574737549": 142, "4669344425201416": 142, "4641318321228027": 142, "4613490104675293": 142, "458585262298584": 142, "455841064453125": 142, "4531171321868896": 142, "4504122734069824": 142, "447443962097168": 142, "4443020820617676": 142, "4416561126708984": 142, "4389331340789795": 142, "436429500579834": 142, "4338436126708984": 142, "431276559829712": 142, "4287304878234863": 142, "4262030124664307": 142, "4236946105957031": 142, "4213714599609375": 142, "4188997745513916": 142, "4164447784423828": 142, "4140074253082275": 142, "4114444255828857": 142, "4089646339416504": 142, "4065771102905273": 142, "4042036533355713": 142, "4020617008209229": 142, "3997185230255127": 142, "397386074066162": 142, "395071029663086": 142, "392775058746338": 142, "3905000686645508": 142, "3882434368133545": 142, "3859288692474365": 142, "3837082386016846": 142, "3815064430236816": 142, "3793203830718994": 142, "377150297164917": 142, "3749966621398926": 142, "3729615211486816": 142, "3708367347717285": 142, "3687269687652588": 142, "3666322231292725": 142, "3645522594451904": 142, "3624863624572754": 142, "36043381690979": 142, "3583941459655762": 142, "356370210647583": 142, "3543586730957031": 142, "3523612022399902": 142, "350377082824707": 142, "348407506942749": 142, "3461284637451172": 142, "344189167022705": 142, "3422625064849854": 142, "340350866317749": 142, "3384535312652588": 142, "3365700244903564": 142, "3349056243896484": 142, "3332030773162842": 142, "3313450813293457": 142, "3295679092407227": 142, "3277578353881836": 142, "325963020324707": 142, "3244202136993408": 142, "322706699371338": 142, "320960283279419": 142, "3192267417907715": 142, "3175082206726074": 142, "315803050994873": 142, "3141133785247803": 142, "3124370574951172": 142, "3107750415802002": 142, "3091261386871338": 142, "3074910640716553": 142, "3061609268188477": 142, "3045530319213867": 142, "302957534790039": 142, "3013744354248047": 142, "2998042106628418": 142, "298245906829834": 142, "296699047088623": 142, "2951650619506836": 142, "2936413288116455": 142, "292128086090088": 142, "2906267642974854": 142, "289135217666626": 142, "287653923034668": 142, "2861826419830322": 142, "2847213745117188": 142, "283268690109253": 142, "2819256782531738": 142, "2804913520812988": 142, "2790653705596924": 142, "2776482105255127": 142, "2762396335601807": 142, "2748386859893799": 142, "2734456062316895": 142, "2720601558685303": 142, "2706823348999023": 142, "2693114280700684": 142, "2679481506347656": 142, "266592264175415": 142, "2643556594848633": 142, "2630071640014648": 142, "2615225315093994": 142, "2601847648620605": 142, "2588529586791992": 142, "257526159286499": 142, "256206750869751": 142, "2548918724060059": 142, "25358247756958": 142, "2521576881408691": 142, "2506754398345947": 142, "2493810653686523": 142, "248091697692871": 142, "2468063831329346": 142, "2455270290374756": 142, "2442984580993652": 142, "2430274486541748": 142, "2417597770690918": 142, "2404963970184326": 142, "2392375469207764": 142, "2379827499389648": 142, "2367310523986816": 142, "2354841232299805": 142, "2342398166656494": 142, "2330000400543213": 142, "2317626476287842": 142, "2305290699005127": 142, "2292993068695068": 142, "2280733585357666": 142, "226850986480713": 142, "2256319522857666": 142, "2244162559509277": 142, "223205327987671": 142, "2219979763031006": 142, "2210590839385986": 142, "219860553741455": 142, "2186670303344727": 142, "2174773216247559": 142, "2162916660308838": 142, "215111494064331": 142, "213935375213623": 142, "2127645015716553": 142, "2115983963012695": 142, "2103288173675537": 142, "2092323303222656": 142, "2080802917480469": 142, "2069334983825684": 142, "2057926654815674": 142, "204658031463623": 142, "2035298347473145": 142, "2024071216583252": 142, "2012898921966553": 142, "010298505425453186": 142, "002957719611003995": 142, "010299976915121078": 142, "006125442683696747": 142, "03379574045538902": 142, "014482417143881321": 142, "04035123810172081": 142, "005884500686079264": 142, "06624597311019897": 142, "006424681283533573": 142, "015670157968997955": 142, "007784664165228605": 142, "000441154174041003": 142, "015240334905683994": 142, "0053372494876384735": 142, "04795286804437637": 142, "006955360062420368": 142, "025476399809122086": 142, "0008194757392629981": 142, "00017566379392519593": 142, "005295446142554283": 142, "00912356935441494": 142, "013356837444007397": 142, "006079850252717733": 142, "004426158033311367": 142, "008942299522459507": 142, "0046271104365587234": 142, "20703426003456116": 142, "02596782147884369": 142, "09212487190961838": 142, "0765475183725357": 142, "18334434926509857": 142, "02443617396056652": 142, "3853144645690918": 142, "3661181926727295": 142, "06640625": 142, "08641082048416138": 142, "83477258682251": 142, "120956420898438": 142, "4437546730041504": 142, "293863296508789": 142, "06131362915039": 142, "19586181640625": 142, "403163433074951": 142, "068559646606445": 142, "8411552906036377": 142, "87506628036499": 142, "01871109008789": 142, "3793154954910278": 142, "292544364929199": 142, "060848236083984": 142, "969665050506592": 142, "3639185428619385": 142, "02873992919922": 142, "590244293212891": 142, "853798866271973": 142, "07250213623047": 142, "196736812591553": 142, "2909064292907715": 142, "082862854003906": 142, "5220580101013184": 142, "040060520172119": 142, "913066864013672": 142, "22279684245586395": 142, "4629149436950684": 142, "197246551513672": 142, "1303510665893555": 142, "7511882781982422": 142, "7463009357452393": 142, "7396469116210938": 142, "7331631183624268": 142, "726806879043579": 142, "7205495834350586": 142, "7141783237457275": 142, "708085060119629": 142, "7022311687469482": 142, "696258306503296": 142, "6903364658355713": 142, "6844594478607178": 142, "6785566806793213": 142, "6727635860443115": 142, "6668429374694824": 142, "661121129989624": 142, "6554272174835205": 142, "6497619152069092": 142, "6441199779510498": 142, "6385014057159424": 142, "6329045295715332": 142, "6273283958435059": 142, "6217715740203857": 142, "6162359714508057": 142, "6107206344604492": 142, "605226755142212": 142, "5997562408447266": 142, "594294786453247": 142, "5888683795928955": 142, "5834686756134033": 142, "5782756805419922": 142, "572899341583252": 142, "5675857067108154": 142, "5623023509979248": 142, "5570545196533203": 142, "5519320964813232": 142, "5467560291290283": 142, "5413703918457031": 142, "5362708568572998": 142, "531209945678711": 142, "5261871814727783": 142, "521202564239502": 142, "5162591934204102": 142, "5112898349761963": 142, "5064244270324707": 142, "501596212387085": 142, "4968085289001465": 142, "4920566082000732": 142, "4873464107513428": 142, "4826743602752686": 142, "4780387878417969": 142, "4734437465667725": 142, "4688866138458252": 142, "464369535446167": 142, "4598901271820068": 142, "4554493427276611": 142, "4510478973388672": 142, "4466869831085205": 142, "4423658847808838": 142, "4380862712860107": 142, "4334900379180908": 142, "429290533065796": 142, "4251329898834229": 142, "4208276271820068": 142, "4167568683624268": 142, "4127278327941895": 142, "4087445735931396": 142, "4048066139221191": 142, "4009106159210205": 142, "3970615863800049": 142, "3932569026947021": 142, "3894972801208496": 142, "3857810497283936": 142, "382110834121704": 142, "3784856796264648": 142, "3747000694274902": 142, "3711719512939453": 142, "3677096366882324": 142, "3645145893096924": 142, "3611724376678467": 142, "3578882217407227": 142, "354663372039795": 142, "3514950275421143": 142, "348191738128662": 142, "3451330661773682": 142, "3421258926391602": 142, "339170217514038": 142, "3362884521484375": 142, "333395004272461": 142, "3305878639221191": 142, "327826976776123": 142, "3251111507415771": 142, "3224403858184814": 142, "3198127746582031": 142, "3175594806671143": 142, "315016746520996": 142, "3125145435333252": 142, "309800386428833": 142, "3073749542236328": 142, "3049874305725098": 142, "3026392459869385": 142, "3004412651062012": 142, "2981653213500977": 142, "295924425125122": 142, "2937180995941162": 142, "2915446758270264": 142, "2894046306610107": 142, "287297010421753": 142, "2852201461791992": 142, "2831757068634033": 142, "282114028930664": 142, "2801313400268555": 142, "2781813144683838": 142, "2762610912322998": 142, "274367332458496": 142, "2725019454956055": 142, "2706632614135742": 142, "2688512802124023": 142, "267063856124878": 142, "2653038501739502": 142, "2635695934295654": 142, "2618603706359863": 142, "260176181793213": 142, "2585155963897705": 142, "2568795680999756": 142, "2552664279937744": 142, "253676176071167": 142, "2521097660064697": 142, "2505645751953125": 142, "2490410804748535": 142, "2475395202636719": 142, "2460591793060303": 142, "2445991039276123": 142, "2431597709655762": 142, "24173903465271": 142, "2403380870819092": 142, "2389566898345947": 142, "2375743389129639": 142, "2362291812896729": 142, "2349023818969727": 142, "233750820159912": 142, "2325189113616943": 142, "2312407493591309": 142, "2299787998199463": 142, "2287328243255615": 142, "2275023460388184": 142, "2262866497039795": 142, "2250862121582031": 142, "2239649295806885": 142, "2227940559387207": 142, "2218317985534668": 142, "220691442489624": 142, "21956205368042": 142, "2184474468231201": 142, "2173442840576172": 142, "2162537574768066": 142, "2151744365692139": 142, "214106559753418": 142, "2130508422851562": 142, "2120063304901123": 142, "210794448852539": 142, "2099366188049316": 142, "20892333984375": 142, "2077622413635254": 142, "2067687511444092": 142, "205784797668457": 142, "2048120498657227": 142, "2036948204040527": 142, "2027437686920166": 142, "2018024921417236": 142, "200871467590332": 142, "1999495029449463": 142, "1990375518798828": 142, "1980328559875488": 142, "1971395015716553": 142, "196256160736084": 142, "1953814029693604": 142, "1945161819458008": 142, "1936595439910889": 142, "1928133964538574": 142, "1919748783111572": 142, "1911442279815674": 142, "190162181854248": 142, "1893501281738281": 142, "1885457038879395": 142, "1877501010894775": 142, "1869621276855469": 142, "1861214637756348": 142, "1853511333465576": 142, "1845881938934326": 142, "183959722518921": 142, "1832120418548584": 142, "182471513748169": 142, "181739330291748": 142, "1810126304626465": 142, "1802942752838135": 142, "1795814037322998": 142, "1788756847381592": 142, "1781766414642334": 142, "1770572662353516": 142, "1763718128204346": 142, "1756908893585205": 142, "1750168800354004": 142, "1743488311767578": 142, "1736857891082764": 142, "172774314880371": 142, "1721234321594238": 142, "1714777946472168": 142, "1708383560180664": 142, "1700730323791504": 142, "1694424152374268": 142, "1688156127929688": 142, "16819167137146": 142, "1675755977630615": 142, "1666679382324219": 142, "1660594940185547": 142, "1654529571533203": 142, "1648521423339844": 142, "1642553806304932": 142, "163825273513794": 142, "1632516384124756": 142, "1626818180084229": 142, "1621158123016357": 142, "1615536212921143": 142, "1608946323394775": 142, "1603388786315918": 142, "1594555377960205": 142, "1589081287384033": 142, "1583640575408936": 142, "1578259468078613": 142, "1572918891906738": 142, "1567609310150146": 142, "15635085105896": 142, "155827522277832": 142, "1553094387054443": 142, "1547942161560059": 142, "1542832851409912": 142, "1537766456604004": 142, "153275489807129": 142, "1527280807495117": 142, "1522352695465088": 142, "1517469882965088": 142, "151261806488037": 142, "1506831645965576": 142, "15020751953125": 142, "1497995853424072": 142, "1493310928344727": 142, "148866891860962": 142, "1484057903289795": 142, "1479485034942627": 142, "1474950313568115": 142, "1470460891723633": 142, "1465985774993896": 142, "1461570262908936": 142, "1457183361053467": 142, "1452827453613281": 142, "1448509693145752": 142, "144423007965088": 142, "1439979076385498": 142, "1435778141021729": 142, "1432299613952637": 142, "1428186893463135": 142, "1424105167388916": 142, "1420056819915771": 142, "1416053771972656": 142, "1412084102630615": 142, "1408159732818604": 142, "1404259204864502": 142, "1400420665740967": 142, "1396610736846924": 142, "1392838954925537": 142, "1390516757965088": 142, "1386809349060059": 142, "1383154392242432": 142, "1379528045654297": 142, "1375949382781982": 142, "137239933013916": 142, "1368908882141113": 142, "1365456581115723": 142, "1362035274505615": 142, "1358671188354492": 142, "1355328559875488": 142, "1352038383483887": 142, "1348791122436523": 142, "1345579624176025": 142, "134242057800293": 142, "1338720321655273": 142, "1335644721984863": 142, "1332614421844482": 142, "1331160068511963": 142, "1328139305114746": 142, "1325252056121826": 142, "13224196434021": 142, "1319465637207031": 142, "131671667098999": 142, "1313984394073486": 142, "1311311721801758": 142, "1308670043945312": 142, "1306076049804688": 142, "023010507225990295": 142, "0231345035135746": 142, "0036571044474840164": 142, "006568552926182747": 142, "0283561609685421": 142, "03373650461435318": 142, "0066148340702056885": 142, "00785866193473339": 142, "009233287535607815": 142, "0051788389682769775": 142, "005424400791525841": 142, "008595910854637623": 142, "011230207048356533": 142, "000831226643640548": 142, "007855694741010666": 142, "0045206258073449135": 142, "006207532715052366": 142, "009967487305402756": 142, "020738933235406876": 142, "02801518142223358": 142, "010618934407830238": 142, "005745448637753725": 142, "0009600096964277327": 142, "007291567511856556": 142, "003934256732463837": 142, "00802246667444706": 142, "01015615463256836": 142, "03191199526190758": 142, "01452688593417406": 142, "04268616810441017": 142, "029624901711940765": 142, "07304921746253967": 142, "06579431891441345": 142, "4216755628585815": 142, "4305307865142822": 142, "0642147064209": 142, "07498063892126083": 142, "923450946807861": 142, "001150131225586": 142, "4080848693847656": 142, "317809104919434": 142, "068666458129883": 142, "1863694190979": 142, "409522771835327": 142, "026216506958008": 142, "8324332237243652": 142, "870328426361084": 142, "08650016784668": 142, "4135302305221558": 142, "300529956817627": 142, "07352638244629": 142, "047024726867676": 142, "355375289916992": 142, "10235595703125": 142, "618014812469482": 142, "884171485900879": 142, "090574264526367": 142, "248252868652344": 142, "300156116485596": 142, "066404342651367": 142, "8728704452514648": 142, "3597943782806396": 142, "850290298461914": 142, "0367661714553833": 142, "767665386199951": 142, "173364639282227": 142, "122415542602539": 142, "6866488456726074": 142, "670243740081787": 142, "6595728397369385": 142, "6499035358428955": 142, "6407427787780762": 142, "6320230960845947": 142, "6233305931091309": 142, "614776372909546": 142, "6063926219940186": 142, "598038673400879": 142, "5897681713104248": 142, "5815856456756592": 142, "5734612941741943": 142, "5654046535491943": 142, "557410478591919": 142, "54948091506958": 142, "5408778190612793": 142, "5330684185028076": 142, "5253269672393799": 142, "5176522731781006": 142, "5100469589233398": 142, "5025157928466797": 142, "4950871467590332": 142, "4877092838287354": 142, "4804105758666992": 142, "4731884002685547": 142, "4661076068878174": 142, "4591400623321533": 142, "452458381652832": 142, "4460420608520508": 142, "4401359558105469": 142, "4342072010040283": 142, "4285006523132324": 142, "4230084419250488": 142, "4177155494689941": 142, "412614107131958": 142, "4076943397521973": 142, "4029455184936523": 142, "398019552230835": 142, "393587350845337": 142, "3892979621887207": 142, "3850116729736328": 142, "3809049129486084": 142, "3770012855529785": 142, "373220443725586": 142, "3696486949920654": 142, "3661177158355713": 142, "3626635074615479": 142, "3593108654022217": 142, "3560540676116943": 142, "352888822555542": 142, "34981107711792": 142, "3468167781829834": 142, "3439016342163086": 142, "3411345481872559": 142, "3383662700653076": 142, "3356666564941406": 142, "333031415939331": 142, "3304576873779297": 142, "3279433250427246": 142, "325484037399292": 142, "323077917098999": 142, "3207218647003174": 142, "3184139728546143": 142, "3161523342132568": 142, "313934326171875": 142, "311760425567627": 142, "3096272945404053": 142, "3075344562530518": 142, "3054802417755127": 142, "303462028503418": 142, "3014190196990967": 142, "299473762512207": 142, "2975621223449707": 142, "295682430267334": 142, "2936346530914307": 142, "2918155193328857": 142, "2900261878967285": 142, "2882671356201172": 142, "2865371704101562": 142, "284836769104004": 142, "2831642627716064": 142, "281519889831543": 142, "279902458190918": 142, "2783119678497314": 142, "276592493057251": 142, "275055170059204": 142, "273543119430542": 142, "2720541954040527": 142, "2705895900726318": 142, "269148349761963": 142, "2677295207977295": 142, "2663335800170898": 142, "264958381652832": 142, "2636048793792725": 142, "2622718811035156": 142, "2611029148101807": 142, "2598066329956055": 142, "258528232574463": 142, "257267713546753": 142, "255882740020752": 142, "2546536922454834": 142, "2534401416778564": 142, "2522406578063965": 142, "25105619430542": 142, "249884843826294": 142, "2487256526947021": 142, "24757981300354": 142, "2464454174041748": 142, "2453224658966064": 142, "2442100048065186": 142, "2431085109710693": 142, "2420177459716797": 142, "2409367561340332": 142, "2399241924285889": 142, "2388637065887451": 142, "2378129959106445": 142, "2367711067199707": 142, "23573899269104": 142, "2347157001495361": 142, "2337019443511963": 142, "232696771621704": 142, "2317006587982178": 142, "230712890625": 142, "2297353744506836": 142, "2287662029266357": 142, "2278056144714355": 142, "2268545627593994": 142, "2259116172790527": 142, "2249774932861328": 142, "2240517139434814": 142, "2231347560882568": 142, "2222261428833008": 142, "2213256359100342": 142, "2204320430755615": 142, "2195472717285156": 142, "2186686992645264": 142, "2177972793579102": 142, "2169342041015625": 142, "2159819602966309": 142, "2151315212249756": 142, "2142887115478516": 142, "2134511470794678": 142, "2126188278198242": 142, "211791753768921": 142, "2109699249267578": 142, "2101521492004395": 142, "2093391418457031": 142, "2085294723510742": 142, "2077245712280273": 142, "2069225311279297": 142, "2061240673065186": 142, "205329418182373": 142, "2048885822296143": 142, "2041008472442627": 142, "2033159732818604": 142, "20253324508667": 142, "2010853290557861": 142, "2003052234649658": 142, "1995272636413574": 142, "1987512111663818": 142, "1979765892028809": 142, "1972026824951172": 142, "1963706016540527": 142, "1958081722259521": 142, "195040225982666": 142, "1942718029022217": 142, "1935057640075684": 142, "1927390098571777": 142, "1919739246368408": 142, "1912095546722412": 142, "1902015209197998": 142, "1894447803497314": 142, "1886897087097168": 142, "1881113052368164": 142, "1875710487365723": 142, "1868350505828857": 142, "186098337173462": 142, "1851558685302734": 142, "1844217777252197": 142, "1836886405944824": 142, "182781457901001": 142, "1820507049560547": 142, "1813218593597412": 142, "1805949211120605": 142, "1798686981201172": 142, "1791436672210693": 142, "1784207820892334": 142, "177699327468872": 142, "176978588104248": 142, "1762604713439941": 142, "1755437850952148": 142, "1748294830322266": 142, "174116849899292": 142, "1734061241149902": 142, "1726980209350586": 142, "1713624000549316": 142, "1706595420837402": 142, "1699588298797607": 142, "1692616939544678": 142, "1685655117034912": 142, "1678736209869385": 142, "1671838760375977": 142, "1664972305297852": 142, "1658141613006592": 142, "1651346683502197": 142, "164456844329834": 142, "1637823581695557": 142, "163111686706543": 142, "1622750759124756": 142, "161611557006836": 142, "1609537601470947": 142, "1602981090545654": 142, "1598384380340576": 142, "1591906547546387": 142, "1585447788238525": 142, "1579041481018066": 142, "157266616821289": 142, "156632423400879": 142, "1560025215148926": 142, "1553761959075928": 142, "1547527313232422": 142, "1541342735290527": 142, "153519868850708": 142, "1529090404510498": 142, "1523027420043945": 142, "151867151260376": 142, "1512699127197266": 142, "150676965713501": 142, "1500885486602783": 142, "1495039463043213": 142, "1489241123199463": 142, "1483500003814697": 142, "1477789878845215": 142, "1472129821777344": 142, "1466529369354248": 142, "14609694480896": 142, "1454029083251953": 142, "1448585987091064": 142, "144319772720337": 142, "1437861919403076": 142, "1432585716247559": 142, "1427357196807861": 142, "142219066619873": 142, "1417076587677002": 142, "141122579574585": 142, "1406230926513672": 142, "1401290893554688": 142, "1396410465240479": 142, "1391582489013672": 142, "138681411743164": 142, "1382105350494385": 142, "1377449035644531": 142, "1370823383331299": 142, "136629343032837": 142, "1361792087554932": 142, "1357371807098389": 142, "1353015899658203": 142, "1348705291748047": 142, "134443759918213": 142, "1340229511260986": 142, "13352370262146": 142, "1331121921539307": 142, "1327056884765625": 142, "1323039531707764": 142, "1318442821502686": 142, "1314527988433838": 142, "1313302516937256": 142, "1309425830841064": 142, "1305625438690186": 142, "1301863193511963": 142, "129814624786377": 142, "1294472217559814": 142, "129056692123413": 142, "1287012100219727": 142, "1283483505249023": 142, "1279995441436768": 142, "1276559829711914": 142, "1272468566894531": 142, "1269123554229736": 142, "1265814304351807": 142, "1262547969818115": 142, "1258177757263184": 142, "1254987716674805": 142, "1251838207244873": 142, "1248726844787598": 142, "124565601348877": 142, "1242620944976807": 142, "1242327690124512": 142, "1239371299743652": 142, "1236457824707031": 142, "1233577728271484": 142, "123131275177002": 142, "1228511333465576": 142, "122574806213379": 142, "1223032474517822": 142, "1220343112945557": 142, "122917652130127": 142, "1226637363433838": 142, "023588048294186592": 142, "007490967866033316": 142, "008943811058998108": 142, "06680965423583984": 142, "058334365487098694": 142, "03981281444430351": 142, "0126961013302207": 142, "017830045893788338": 142, "010205982252955437": 142, "003886330174282193": 142, "006774359382688999": 142, "0074400631710886955": 142, "01836368441581726": 142, "008578259497880936": 142, "017892848700284958": 142, "012295028194785118": 142, "008867246098816395": 142, "01571948640048504": 142, "01889721117913723": 142, "03393883630633354": 142, "012357978150248528": 142, "007364996708929539": 142, "02795627899467945": 142, "008322132751345634": 142, "01666104607284069": 142, "0005662475596182048": 142, "012005587108433247": 142, "0027367162983864546": 142, "019251951947808266": 142, "006753821857273579": 142, "06627628952264786": 142, "014216374605894089": 142, "016574906185269356": 142, "3949854373931885": 142, "400343656539917": 142, "075164794921875": 142, "03163193166255951": 142, "809371471405029": 142, "039573669433594": 142, "4514291286468506": 142, "295886993408203": 142, "042308807373047": 142, "213564872741699": 142, "4106574058532715": 142, "053382873535156": 142, "8241324424743652": 142, "82138204574585": 142, "040321350097656": 142, "3822007179260254": 142, "262729644775391": 142, "15199851989746": 142, "041064739227295": 142, "405066728591919": 142, "053918838500977": 142, "626273155212402": 142, "845405101776123": 142, "069623947143555": 142, "233478546142578": 142, "294045925140381": 142, "050796508789062": 142, "3204014301300049": 142, "984720230102539": 142, "132831573486328": 142, "3645404577255249": 142, "884201526641846": 142, "335237503051758": 142, "0269362926483154": 142, "4672093391418457": 142, "458953619003296": 142, "4515459537506104": 142, "4444432258605957": 142, "4364559650421143": 142, "4295458793640137": 142, "4226737022399902": 142, "4158318042755127": 142, "4090158939361572": 142, "4023375511169434": 142, "3955676555633545": 142, "3888981342315674": 142, "38248610496521": 142, "376220464706421": 142, "3701303005218506": 142, "3642027378082275": 142, "358304738998413": 142, "3526742458343506": 142, "3471810817718506": 142, "34181809425354": 142, "3365764617919922": 142, "3314545154571533": 142, "326446294784546": 142, "3215084075927734": 142, "3170557022094727": 142, "3123743534088135": 142, "3074548244476318": 142, "3027095794677734": 142, "298323631286621": 142, "2940354347229004": 142, "2898468971252441": 142, "2859828472137451": 142, "2819628715515137": 142, "277827262878418": 142, "2740237712860107": 142, "2703139781951904": 142, "2667489051818848": 142, "2632241249084473": 142, "2597904205322266": 142, "2564449310302734": 142, "253187894821167": 142, "2500154972076416": 142, "2469274997711182": 142, "2443273067474365": 142, "2414071559906006": 142, "238567590713501": 142, "2357492446899414": 142, "2330710887908936": 142, "23046875": 142, "2279419898986816": 142, "2254879474639893": 142, "2207934856414795": 142, "218550205230713": 142, "2163722515106201": 142, "2142608165740967": 142, "212212324142456": 142, "2102258205413818": 142, "208298683166504": 142, "2064297199249268": 142, "2045135498046875": 142, "202754020690918": 142, "201045274734497": 142, "199385166168213": 142, "1978213787078857": 142, "1962509155273438": 142, "1947247982025146": 142, "1932401657104492": 142, "19179368019104": 142, "1903855800628662": 142, "1890122890472412": 142, "188159465789795": 142, "1868386268615723": 142, "1855473518371582": 142, "1842842102050781": 142, "1830475330352783": 142, "1818361282348633": 142, "1806488037109375": 142, "179304599761963": 142, "1781611442565918": 142, "1770389080047607": 142, "1759765148162842": 142, "174891471862793": 142, "173823595046997": 142, "1727712154388428": 142, "171506404876709": 142, "1704843044281006": 142, "1694762706756592": 142, "1683168411254883": 142, "1673338413238525": 142, "1663625240325928": 142, "1654012203216553": 142, "1644525527954102": 142, "1635119915008545": 142, "1625819206237793": 142, "16166090965271": 142, "1607496738433838": 142, "1597983837127686": 142, "1589019298553467": 142, "1580145359039307": 142, "1573562622070312": 142, "156484603881836": 142, "155620813369751": 142, "15476393699646": 142, "153913974761963": 142, "1530711650848389": 142, "1522347927093506": 142, "1514060497283936": 142, "150583267211914": 142, "1497671604156494": 142, "148956537246704": 142, "1481540203094482": 142, "1473572254180908": 142, "1465647220611572": 142, "1462280750274658": 142, "1454553604125977": 142, "144688606262207": 142, "143928050994873": 142, "143172025680542": 142, "1424219608306885": 142, "141676425933838": 142, "1409358978271484": 142, "1402003765106201": 142, "1389763355255127": 142, "1382479667663574": 142, "1375246047973633": 142, "1368045806884766": 142, "136087417602539": 142, "1353733539581299": 142, "1346614360809326": 142, "1339771747589111": 142, "1332693099975586": 142, "1325628757476807": 142, "1318585872650146": 142, "1311554908752441": 142, "1304543018341064": 142, "1297540664672852": 142, "1290550231933594": 142, "1283564567565918": 142, "1276602745056152": 142, "126664638519287": 142, "1259684562683105": 142, "1252734661102295": 142, "1245787143707275": 142, "1238842010498047": 142, "1229743957519531": 142, "122283697128296": 142, "121593952178955": 142, "1208889484405518": 142, "1202023029327393": 142, "1195149421691895": 142, "1188280582427979": 142, "1181421279907227": 142, "1174564361572266": 142, "1167705059051514": 142, "115919828414917": 142, "1152362823486328": 142, "114553451538086": 142, "1135287284851074": 142, "112846851348877": 142, "1122565269470215": 142, "1115741729736328": 142, "1108925342559814": 142, "110210657119751": 142, "1095283031463623": 142, "1088449954986572": 142, "1081631183624268": 142, "1074798107147217": 142, "1067962646484375": 142, "1061124801635742": 142, "1054277420043945": 142, "1047427654266357": 142, "1040563583374023": 142, "1033687591552734": 142, "1026794910430908": 142, "10198974609375": 142, "10129976272583": 142, "100606918334961": 142, "0999150276184082": 142, "0992217063903809": 142, "098527193069458": 142, "0978317260742188": 142, "0971362590789795": 142, "0963363647460938": 142, "0956366062164307": 142, "0949351787567139": 142, "0942339897155762": 142, "0935323238372803": 142, "092829704284668": 142, "0941991806030273": 142, "09348726272583": 142, "0927751064300537": 142, "0920605659484863": 142, "0912795066833496": 142, "0905694961547852": 142, "0898549556732178": 142, "0891425609588623": 142, "088428020477295": 142, "087902307510376": 142, "0871872901916504": 142, "0865478515625": 142, "085834264755249": 142, "0851190090179443": 142, "0841434001922607": 142, "0834300518035889": 142, "0827157497406006": 142, "082005262374878": 142, "0812947750091553": 142, "080585241317749": 142, "079878568649292": 142, "0791747570037842": 142, "0784070491790771": 142, "0777080059051514": 142, "077009677886963": 142, "0763144493103027": 142, "0756239891052246": 142, "0749356746673584": 142, "074251413345337": 142, "0735697746276855": 142, "072892665863037": 142, "0722193717956543": 142, "071549415588379": 142, "0708837509155273": 142, "0702226161956787": 142, "0695655345916748": 142, "0689122676849365": 142, "0682637691497803": 142, "0676190853118896": 142, "0669794082641602": 142, "0678167343139648": 142, "0671806335449219": 142, "0665473937988281": 142, "0659172534942627": 142, "0647857189178467": 142, "0641632080078125": 142, "0635440349578857": 142, "0629253387451172": 142, "0623090267181396": 142, "0616953372955322": 142, "061081886291504": 142, "0604722499847412": 142, "059865951538086": 142, "0592608451843262": 142, "0586576461791992": 142, "0580577850341797": 142, "057460069656372": 142, "056863784790039": 142, "0562691688537598": 142, "055675983428955": 142, "0550861358642578": 142, "0544989109039307": 142, "05391263961792": 142, "0533289909362793": 142, "052748441696167": 142, "0521697998046875": 142, "0515930652618408": 142, "0512354373931885": 142, "0506629943847656": 142, "0500926971435547": 142, "0495223999023438": 142, "0489580631256104": 142, "0484223365783691": 142, "0478596687316895": 142, "0472993850708008": 142, "04618501663208": 142, "0456302165985107": 142, "0450770854949951": 142, "0445280075073242": 142, "0439796447753906": 142, "0434339046478271": 142, "0428900718688965": 142, "042349100112915": 142, "041808843612671": 142, "0412721633911133": 142, "0407357215881348": 142, "0402023792266846": 142, "0396709442138672": 142, "0391407012939453": 142, "0386114120483398": 142, "0380842685699463": 142, "0375573635101318": 142, "037031650543213": 142, "0365080833435059": 142, "0359845161437988": 142, "0352060794830322": 142, "0348267555236816": 142, "0343072414398193": 142, "032710313796997": 142, "0321745872497559": 142, "0316412448883057": 142, "031111717224121": 142, "0305838584899902": 142, "0300564765930176": 142, "0295038223266602": 142, "028980016708374": 142, "0284874439239502": 142, "027968168258667": 142, "0274510383605957": 142, "0016709350747987628": 142, "005966354627162218": 142, "018137997016310692": 142, "009482943452894688": 142, "03630376234650612": 142, "009095939807593822": 142, "024516915902495384": 142, "006587016396224499": 142, "012933329679071903": 142, "001983269350603223": 142, "0005308196414262056": 142, "013032815419137478": 142, "012500986456871033": 142, "016461756080389023": 142, "0074350591748952866": 142, "009364140219986439": 142, "013305645436048508": 142, "046706706285476685": 142, "00547341164201498": 142, "0074290139600634575": 142, "013646340928971767": 142, "0036985056940466166": 142, "003281110431998968": 142, "015001686289906502": 142, "002814807463437319": 142, "0009206151589751244": 142, "013308505527675152": 142, "0027465256862342358": 142, "11560745537281036": 142, "012711875140666962": 142, "0653112530708313": 142, "021130666136741638": 142, "08543583005666733": 142, "3880045413970947": 142, "514005184173584": 142, "040267944335938": 142, "0014205006882548332": 142, "921685695648193": 142, "052734375": 142, "4125131368637085": 142, "4057297706604": 142, "155250549316406": 142, "2557597160339355": 142, "5129363536834717": 142, "036169052124023": 142, "822638988494873": 142, "930724143981934": 142, "06885528564453": 142, "4286136627197266": 142, "368716239929199": 142, "04927635192871": 142, "054321765899658": 142, "485841989517212": 142, "073657989501953": 142, "641622543334961": 142, "919057369232178": 142, "052473068237305": 142, "212395191192627": 142, "368261337280273": 142, "04753303527832": 142, "7649402618408203": 142, "2984941601753235": 142, "142175674438477": 142, "09055757522583": 142, "2159678936004639": 142, "281803131103516": 142, "0367076396942139": 142, "5998780727386475": 142, "5917093753814697": 142, "583794355392456": 142, "5759353637695312": 142, "5679709911346436": 142, "5601980686187744": 142, "552640676498413": 142, "5452933311462402": 142, "538144588470459": 142, "5311734676361084": 142, "5242183208465576": 142, "5175490379333496": 142, "511012315750122": 142, "5045945644378662": 142, "498253583908081": 142, "4920520782470703": 142, "4859426021575928": 142, "4799230098724365": 142, "4741096496582031": 142, "468423843383789": 142, "4626519680023193": 142, "456954002380371": 142, "451326608657837": 142, "445770263671875": 142, "4403011798858643": 142, "4348845481872559": 142, "4295341968536377": 142, "424304485321045": 142, "4192945957183838": 142, "4141509532928467": 142, "409168004989624": 142, "4042327404022217": 142, "3992886543273926": 142, "3944141864776611": 142, "3896093368530273": 142, "384873628616333": 142, "3802108764648438": 142, "3756601810455322": 142, "3712799549102783": 142, "366830587387085": 142, "3624389171600342": 142, "3581340312957764": 142, "3539011478424072": 142, "3497388362884521": 142, "345649242401123": 142, "3416306972503662": 142, "3376822471618652": 142, "3338029384613037": 142, "3299953937530518": 142, "3262572288513184": 142, "3225889205932617": 142, "3190035820007324": 142, "3154757022857666": 142, "3120157718658447": 142, "3086233139038086": 142, "3052978515625": 142, "3018226623535156": 142, "2986273765563965": 142, "2954978942871094": 142, "2924346923828125": 142, "289062261581421": 142, "286125898361206": 142, "283252239227295": 142, "2804384231567383": 142, "2776830196380615": 142, "2749848365783691": 142, "2723443508148193": 142, "2697575092315674": 142, "2672243118286133": 142, "2647418975830078": 142, "2623095512390137": 142, "2599267959594727": 142, "2575898170471191": 142, "2552986145019531": 142, "253049612045288": 142, "2508430480957031": 142, "2489919662475586": 142, "2469918727874756": 142, "245732069015503": 142, "243638277053833": 142, "2415778636932373": 142, "2394630908966064": 142, "237471580505371": 142, "2355153560638428": 142, "2334694862365723": 142, "231576919555664": 142, "22971510887146": 142, "227881669998169": 142, "2260780334472656": 142, "2243013381958008": 142, "2225515842437744": 142, "2208290100097656": 142, "2191314697265625": 142, "2174592018127441": 142, "215811014175415": 142, "2140822410583496": 142, "2124803066253662": 142, "2109003067016602": 142, "209341049194336": 142, "2078032493591309": 142, "206284523010254": 142, "2047855854034424": 142, "2033050060272217": 142, "2018418312072754": 142, "2003958225250244": 142, "1989662647247314": 142, "1975524425506592": 142, "196152687072754": 142, "1946954727172852": 142, "1933252811431885": 142, "1919677257537842": 142, "1906249523162842": 142, "1891391277313232": 142, "1878235340118408": 142, "1865200996398926": 142, "1849009990692139": 142, "183622121810913": 142, "182356834411621": 142, "1811060905456543": 142, "1798691749572754": 142, "1786448955535889": 142, "1774544715881348": 142, "1762561798095703": 142, "1750695705413818": 142, "173903465270996": 142, "1727385520935059": 142, "1715850830078125": 142, "1704416275024414": 142, "1690952777862549": 142, "1680512428283691": 142, "1669347286224365": 142, "1658272743225098": 142, "1647281646728516": 142, "1636357307434082": 142, "1625518798828125": 142, "1614742279052734": 142, "1601948738098145": 142, "159123182296753": 142, "1580584049224854": 142, "1570005416870117": 142, "155946969985962": 142, "1549005508422852": 142, "1538589000701904": 142, "1526474952697754": 142, "1516168117523193": 142, "1505928039550781": 142, "1495726108551025": 142, "148557424545288": 142, "1473028659820557": 142, "1462986469268799": 142, "1451263427734375": 142, "1441340446472168": 142, "1431479454040527": 142, "1421654224395752": 142, "1412689685821533": 142, "1402971744537354": 142, "139331579208374": 142, "1384849548339844": 142, "137531042098999": 142, "136582851409912": 142, "1356396675109863": 142, "1347029209136963": 142, "1337716579437256": 142, "132533073425293": 142, "1316139698028564": 142, "130699872970581": 142, "1297917366027832": 142, "1288890838623047": 142, "1279923915863037": 142, "1271023750305176": 142, "1262168884277344": 142, "1253361701965332": 142, "1244614124298096": 142, "1235921382904053": 142, "122727870941162": 142, "1217231750488281": 142, "1208691596984863": 142, "1200203895568848": 142, "1191763877868652": 142, "118337631225586": 142, "1175036430358887": 142, "1166751384735107": 142, "1158514022827148": 142, "1153380870819092": 142, "114525318145752": 142, "1137168407440186": 142, "112912893295288": 142, "1121132373809814": 142, "1113183498382568": 142, "1105272769927979": 142, "109740972518921": 142, "1089591979980469": 142, "1081807613372803": 142, "1074068546295166": 142, "1066360473632812": 142, "1058681011199951": 142, "1051034927368164": 142, "1043426990509033": 142, "103586196899414": 142, "1028501987457275": 142, "1020972728729248": 142, "100637435913086": 142, "0998561382293701": 142, "0990781784057617": 142, "098301887512207": 142, "0975275039672852": 142, "096754550933838": 142, "0959827899932861": 142, "0950887203216553": 142, "0943212509155273": 142, "0935559272766113": 142, "0927917957305908": 142, "0920166969299316": 142, "0912554264068604": 142, "0904972553253174": 142, "089740514755249": 142, "0889863967895508": 142, "0882337093353271": 142, "0874831676483154": 142, "0867350101470947": 142, "0859894752502441": 142, "0852458477020264": 142, "0845050811767578": 142, "0837678909301758": 142, "0830333232879639": 142, "0823016166687012": 142, "0815722942352295": 142, "0808467864990234": 142, "0801246166229248": 142, "0794048309326172": 142, "078688383102417": 142, "0779757499694824": 142, "0772662162780762": 142, "0771286487579346": 142, "0764050483703613": 142, "0758395195007324": 142, "0751264095306396": 142, "074418306350708": 142, "0737149715423584": 142, "0730164051055908": 142, "0723230838775635": 142, "071634292602539": 142, "0709507465362549": 142, "0701186656951904": 142, "0694468021392822": 142, "068929672241211": 142, "068267822265625": 142, "0676093101501465": 142, "0669548511505127": 142, "066303014755249": 142, "0656554698944092": 142, "065011978149414": 142, "0643723011016846": 142, "063734769821167": 142, "063101053237915": 142, "0624687671661377": 142, "0618395805358887": 142, "0612130165100098": 142, "0605900287628174": 142, "0602831840515137": 142, "0596647262573242": 142, "0590465068817139": 142, "0584287643432617": 142, "0579330921173096": 142, "0573184490203857": 142, "0567052364349365": 142, "0560927391052246": 142, "0554814338684082": 142, "05487060546875": 142, "0542614459991455": 142, "053544521331787": 142, "0529367923736572": 142, "0523290634155273": 142, "0517220497131348": 142, "0511152744293213": 142, "0505096912384033": 142, "04990553855896": 142, "0493006706237793": 142, "0486974716186523": 142, "0480942726135254": 142, "0476312637329102": 142, "0472774505615234": 142, "0466809272766113": 142, "0460822582244873": 142, "0454857349395752": 142, "044891119003296": 142, "044297456741333": 142, "0437040328979492": 142, "0431134700775146": 142, "0425209999084473": 142, "0419325828552246": 142, "0413429737091064": 142, "040757417678833": 142, "0401723384857178": 142, "0395903587341309": 142, "0390093326568604": 142, "0384297370910645": 142, "0378539562225342": 142, "0372800827026367": 142, "020875925198197365": 142, "021163301542401314": 142, "010253430344164371": 142, "0021829395554959774": 142, "002753595821559429": 142, "012471301481127739": 142, "015101471915841103": 142, "0222095288336277": 142, "053924281150102615": 142, "03527512773871422": 142, "03099675476551056": 142, "020777812227606773": 142, "004025764297693968": 142, "005311308894306421": 142, "012797544710338116": 142, "01643339730799198": 142, "0028375734109431505": 142, "01026647724211216": 142, "005241557955741882": 142, "0015962788602337241": 142, "016205549240112305": 142, "006417820695787668": 142, "004313901998102665": 142, "013064917176961899": 142, "0032038725912570953": 142, "002651594113558531": 142, "010931983590126038": 142, "03551696613430977": 142, "06445364654064178": 142, "033335402607917786": 142, "029968824237585068": 142, "10176845639944077": 142, "12054145336151123": 142, "290846586227417": 142, "3704254627227783": 142, "062623977661133": 142, "15240034461021423": 142, "747130393981934": 142, "110658645629883": 142, "6054298877716064": 142, "260711193084717": 142, "11445426940918": 142, "104927062988281": 142, "361914873123169": 142, "075801849365234": 142, "68933367729187": 142, "813143253326416": 142, "076906204223633": 142, "3599038124084473": 142, "296442985534668": 142, "0133113861084": 142, "923954963684082": 142, "3531265258789062": 142, "08721351623535": 142, "444607734680176": 142, "769482135772705": 142, "018680572509766": 142, "092730522155762": 142, "257679462432861": 142, "089113235473633": 142, "9343056082725525": 142, "968952178955078": 142, "758136749267578": 142, "18263770639896393": 142, "3955793380737305": 142, "224565505981445": 142, "0818753242492676": 142, "3767650127410889": 142, "364215612411499": 142, "3542966842651367": 142, "345109462738037": 142, "336381435394287": 142, "3280644416809082": 142, "320012092590332": 142, "3120465278625488": 142, "304246187210083": 142, "2966372966766357": 142, "2891054153442383": 142, "2819147109985352": 142, "2748188972473145": 142, "2676341533660889": 142, "2605595588684082": 142, "253591537475586": 142, "2466857433319092": 142, "2399170398712158": 142, "2332415580749512": 142, "2266621589660645": 142, "2201788425445557": 142, "2137911319732666": 142, "2074975967407227": 142, "201301097869873": 142, "1951987743377686": 142, "1891958713531494": 142, "1832950115203857": 142, "177518606185913": 142, "1720633506774902": 142, "1669220924377441": 142, "162083625793457": 142, "1575400829315186": 142, "1533012390136719": 142, "1493861675262451": 142, "1456146240234375": 142, "1422884464263916": 142, "1392288208007812": 142, "1360914707183838": 142, "1335086822509766": 142, "131242036819458": 142, "1290733814239502": 142, "1270849704742432": 142, "12526273727417": 142, "12339448928833": 142, "1217756271362305": 142, "1203699111938477": 142, "119077444076538": 142, "1178922653198242": 142, "116384506225586": 142, "115382194519043": 142, "1144587993621826": 142, "1136083602905273": 142, "1128225326538086": 142, "112095832824707": 142, "1114208698272705": 142, "1107912063598633": 142, "1102633476257324": 142, "109710693359375": 142, "109191656112671": 142, "1086997985839844": 142, "1080026626586914": 142, "107558250427246": 142, "1071341037750244": 142, "1067044734954834": 142, "1063122749328613": 142, "1059331893920898": 142, "1055667400360107": 142, "105212926864624": 142, "1048669815063477": 142, "1045308113098145": 142, "1042025089263916": 142, "1038806438446045": 142, "1035645008087158": 142, "1032521724700928": 142, "1029436588287354": 142, "1026396751403809": 142, "102339744567871": 142, "1018736362457275": 142, "101578712463379": 142, "101285696029663": 142, "1009950637817383": 142, "100707769393921": 142, "1004226207733154": 142, "0999598503112793": 142, "0996768474578857": 142, "0993962287902832": 142, "0991172790527344": 142, "0988397598266602": 142, "0985634326934814": 142, "0982892513275146": 142, "0980167388916016": 142, "0977449417114258": 142, "097473382949829": 142, "0970454216003418": 142, "0967803001403809": 142, "0965149402618408": 142, "0962514877319336": 142, "0959882736206055": 142, "09572434425354": 142, "0954632759094238": 142, "0952019691467285": 142, "094940423965454": 142, "0946788787841797": 142, "0944182872772217": 142, "0941572189331055": 142, "0938949584960938": 142, "0931246280670166": 142, "0928616523742676": 142, "092423677444458": 142, "0921604633331299": 142, "0918967723846436": 142, "091594934463501": 142, "0913305282592773": 142, "0910651683807373": 142, "0907998085021973": 142, "0905342102050781": 142, "0902700424194336": 142, "0900065898895264": 142, "08974289894104": 142, "089479684829712": 142, "0892164707183838": 142, "088433027267456": 142, "088170051574707": 142, "0879087448120117": 142, "0879173278808594": 142, "0876572132110596": 142, "0873997211456299": 142, "0871431827545166": 142, "0868399143218994": 142, "0865888595581055": 142, "0863392353057861": 142, "0860915184020996": 142, "085845947265625": 142, "085602045059204": 142, "0853619575500488": 142, "085123062133789": 142, "0848872661590576": 142, "0846538543701172": 142, "0844218730926514": 142, "0841925144195557": 142, "0839660167694092": 142, "0837416648864746": 142, "0834362506866455": 142, "0832161903381348": 142, "0829973220825195": 142, "082782506942749": 142, "0825693607330322": 142, "0823585987091064": 142, "0821492671966553": 142, "0819416046142578": 142, "0817363262176514": 142, "0815322399139404": 142, "081125020980835": 142, "0810015201568604": 142, "0808043479919434": 142, "0806090831756592": 142, "0804154872894287": 142, "0802230834960938": 142, "0800325870513916": 142, "0798437595367432": 142, "0796563625335693": 142, "0794706344604492": 142, "079287052154541": 142, "079103708267212": 142, "0789237022399902": 142, "0787465572357178": 142, "0788040161132812": 142, "0786292552947998": 142, "0784595012664795": 142, "0782911777496338": 142, "078125": 142, "0779626369476318": 142, "0777990818023682": 142, "0776402950286865": 142, "0774846076965332": 142, "0773310661315918": 142, "0771801471710205": 142, "0770320892333984": 142, "076888084411621": 142, "0759048461914062": 142, "0757677555084229": 142, "075634241104126": 142, "0755047798156738": 142, "075378656387329": 142, "0753488540649414": 142, "0752320289611816": 142, "075117588043213": 142, "0750067234039307": 142, "0748999118804932": 142, "074796438217163": 142, "0746510028839111": 142, "0738317966461182": 142, "0737526416778564": 142, "0736761093139648": 142, "0736010074615479": 142, "0735290050506592": 142, "0733888149261475": 142, "073322057723999": 142, "0721075534820557": 142, "0720643997192383": 142, "0720219612121582": 142, "071981430053711": 142, "0721690654754639": 142, "0721385478973389": 142, "072110652923584": 142, "0720841884613037": 142, "0720605850219727": 142, "0720396041870117": 142, "0720210075378418": 142, "0720055103302002": 142, "071993112564087": 142, "0719819068908691": 142, "0729620456695557": 142, "072960376739502": 142, "0733911991119385": 142, "073390245437622": 142, "0733935832977295": 142, "0733983516693115": 142, "0734050273895264": 142, "0734152793884277": 142, "0734264850616455": 142, "0734403133392334": 142, "0734567642211914": 142, "0734748840332031": 142, "0735094547271729": 142, "0735318660736084": 142, "0737359523773193": 142, "074143886566162": 142, "0741708278656006": 142, "074199914932251": 142, "07405686378479": 142, "0740914344787598": 142, "0741276741027832": 142, "074164867401123": 142, "0742061138153076": 142, "074249505996704": 142, "0742957592010498": 142, "074342966079712": 142, "074394702911377": 142, "074448585510254": 142, "0745055675506592": 142, "0745649337768555": 142, "074627161026001": 142, "074693202972412": 142, "0747616291046143": 142, "0748322010040283": 142, "0749108791351318": 142, "0753793716430664": 142, "0754566192626953": 142, "075535535812378": 142, "0756187438964844": 142, "0757052898406982": 142, "0761048793792725": 142, "0761988162994385": 142, "0762979984283447": 142, "0757958889007568": 142, "075899600982666": 142, "075895071029663": 142, "0760059356689453": 142, "076117753982544": 142, "0762338638305664": 142, "0763518810272217": 142, "0758373737335205": 142, "0759632587432861": 142, "0760912895202637": 142, "0762240886688232": 142, "0763583183288574": 142, "0764954090118408": 142, "0766351222991943": 142, "0767791271209717": 142, "0769872665405273": 142, "077136754989624": 142, "07728910446167": 142, "0774424076080322": 142, "077599287033081": 142, "077759027481079": 142, "077768087387085": 142, "0779330730438232": 142, "078099012374878": 142, "078268051147461": 142, "078439712524414": 142, "0786151885986328": 142, "0787920951843262": 142, "0789718627929688": 142, "079153299331665": 142, "0793378353118896": 142, "0792779922485352": 142, "0794692039489746": 142, "0798439979553223": 142, "080040454864502": 142, "0802390575408936": 142, "0804412364959717": 142, "0806448459625244": 142, "080850601196289": 142, "081059217453003": 142, "0812702178955078": 142, "0814838409423828": 142, "0816566944122314": 142, "0029923394322395325": 142, "0013251476921141148": 142, "009093675762414932": 142, "01047604251652956": 142, "03151093050837517": 142, "019164707511663437": 142, "030977122485637665": 142, "004263678099960089": 142, "021408064290881157": 142, "0031660355161875486": 142, "0035857148468494415": 142, "010848713107407093": 142, "005859942641109228": 142, "0011658846633508801": 142, "010409990325570107": 142, "032743748277425766": 142, "018438586965203285": 142, "018599344417452812": 142, "006309361197054386": 142, "008996051736176014": 142, "015829870477318764": 142, "026747366413474083": 142, "01528845727443695": 142, "010884325951337814": 142, "009213654324412346": 142, "0019564770627766848": 142, "016360703855752945": 142, "10336370021104813": 142, "04432810842990875": 142, "047708626836538315": 142, "06334815919399261": 142, "05156414955854416": 142, "09033199399709702": 142, "4290492534637451": 142, "414278507232666": 142, "034278869628906": 142, "017183205112814903": 142, "913398265838623": 142, "16120147705078": 142, "4087733030319214": 142, "34230899810791": 142, "059165954589844": 142, "245934963226318": 142, "4435131549835205": 142, "06818199157715": 142, "871614694595337": 142, "890926837921143": 142, "035566329956055": 142, "4315776824951172": 142, "355891227722168": 142, "048044204711914": 142, "056478500366211": 142, "4322619438171387": 142, "049047470092773": 142, "6470770835876465": 142, "889578342437744": 142, "056814193725586": 142, "241388320922852": 142, "332285404205322": 142, "076923370361328": 142, "3572756052017212": 142, "765252113342285": 142, "130760192871094": 142, "9468601942062378": 142, "512688159942627": 142, "373878479003906": 142, "0335209369659424": 142, "3671634197235107": 142, "3607759475708008": 142, "35286283493042": 142, "3453304767608643": 142, "338158369064331": 142, "3311100006103516": 142, "3242483139038086": 142, "317584753036499": 142, "3110978603363037": 142, "304781198501587": 142, "298581600189209": 142, "2925827503204346": 142, "2867622375488281": 142, "2811551094055176": 142, "2759814262390137": 142, "2707865238189697": 142, "26576828956604": 142, "2609214782714844": 142, "2562344074249268": 142, "2517015933990479": 142, "2473137378692627": 142, "2430639266967773": 142, "2388463020324707": 142, "2348570823669434": 142, "2309911251068115": 142, "2272422313690186": 142, "223607063293457": 142, "2200813293457031": 142, "2166638374328613": 142, "2133524417877197": 142, "2101449966430664": 142, "2070386409759521": 142, "204033613204956": 142, "201127052307129": 142, "1983156204223633": 142, "1956002712249756": 142, "1928019523620605": 142, "190265417098999": 142, "187628984451294": 142, "1852874755859375": 142, "1825690269470215": 142, "180424451828003": 142, "178370475769043": 142, "1763806343078613": 142, "1745004653930664": 142, "1727032661437988": 142, "1709837913513184": 142, "169339895248413": 142, "1677672863006592": 142, "1662623882293701": 142, "1648218631744385": 142, "1634416580200195": 142, "162121295928955": 142, "1608545780181885": 142, "1596405506134033": 142, "1584761142730713": 142, "1571073532104492": 142, "1560328006744385": 142, "1549992561340332": 142, "154005527496338": 142, "153048038482666": 142, "1521246433258057": 142, "1512343883514404": 142, "150373935699463": 142, "1495418548583984": 142, "148735523223877": 142, "1479547023773193": 142, "1471340656280518": 142, "1463923454284668": 142, "1456701755523682": 142, "1449651718139648": 142, "1443862915039062": 142, "143711805343628": 142, "1444118022918701": 142, "1437633037567139": 142, "1431293487548828": 142, "1425061225891113": 142, "1418917179107666": 142, "1412875652313232": 142, "1406910419464111": 142, "1400413513183594": 142, "1394598484039307": 142, "138885259628296": 142, "1383168697357178": 142, "1377551555633545": 142, "1371991634368896": 142, "1366488933563232": 142, "136103630065918": 142, "1355645656585693": 142, "1350300312042236": 142, "1345012187957764": 142, "1341824531555176": 142, "133662462234497": 142, "1331470012664795": 142, "1326346397399902": 142, "1321275234222412": 142, "1316235065460205": 142, "1311230659484863": 142, "1306264400482178": 142, "1301333904266357": 142, "1296427249908447": 142, "129154920578003": 142, "1286699771881104": 142, "128185510635376": 142, "1278834342956543": 142, "1274023056030273": 142, "1269221305847168": 142, "1264421939849854": 142, "1259639263153076": 142, "1254856586456299": 142, "1250081062316895": 142, "1245298385620117": 142, "1240508556365967": 142, "1235718727111816": 142, "1230885982513428": 142, "1226072311401367": 142, "1221253871917725": 142, "1216411590576172": 142, "1211557388305664": 142, "1206681728363037": 142, "1201789379119873": 142, "1196885108947754": 142, "1191949844360352": 142, "1187009811401367": 142, "1182053089141846": 142, "1177077293395996": 142, "117208480834961": 142, "1167080402374268": 142, "1162068843841553": 142, "1157042980194092": 142, "1152007579803467": 142, "1146972179412842": 142, "1141934394836426": 142, "1136894226074219": 142, "113184928894043": 142, "1126811504364014": 142, "112177848815918": 142, "1116752624511719": 142, "1111745834350586": 142, "1106746196746826": 142, "1101765632629395": 142, "1096785068511963": 142, "1091835498809814": 142, "1086905002593994": 142, "1081998348236084": 142, "107710838317871": 142, "1072237491607666": 142, "1067390441894531": 142, "1062560081481934": 142, "105776071548462": 142, "1052966117858887": 142, "1048197746276855": 142, "1043453216552734": 142, "103872299194336": 142, "1034002304077148": 142, "1029300689697266": 142, "102461814880371": 142, "1019940376281738": 142, "1015279293060303": 142, "101038932800293": 142, "100560188293457": 142, "100080966949463": 142, "0996479988098145": 142, "0991697311401367": 142, "0986909866333008": 142, "0982129573822021": 142, "0977342128753662": 142, "0972557067871094": 142, "096775770187378": 142, "0962960720062256": 142, "0958154201507568": 142, "0960311889648438": 142, "0955336093902588": 142, "0950345993041992": 142, "0940396785736084": 142, "093541145324707": 142, "0930426120758057": 142, "0924770832061768": 142, "0919747352600098": 142, "091472864151001": 142, "0909698009490967": 142, "0904664993286133": 142, "089977502822876": 142, "0894713401794434": 142, "0889654159545898": 142, "0884575843811035": 142, "087949275970459": 142, "0874409675598145": 142, "086930513381958": 142, "086421012878418": 142, "0859103202819824": 142, "0853986740112305": 142, "0848870277404785": 142, "0840771198272705": 142, "0835621356964111": 142, "0830483436584473": 142, "0824062824249268": 142, "0818912982940674": 142, "0813775062561035": 142, "080864429473877": 142, "0803813934326172": 142, "0799379348754883": 142, "07932710647583": 142, "078798532485962": 142, "0782902240753174": 142, "0777838230133057": 142, "0772786140441895": 142, "0767755508422852": 142, "0762743949890137": 142, "0757744312286377": 142, "0752763748168945": 142, "0747809410095215": 142, "0742855072021484": 142, "0733680725097656": 142, "0728728771209717": 142, "0723791122436523": 142, "0718863010406494": 142, "0713253021240234": 142, "070835828781128": 142, "0703468322753906": 142, "0698578357696533": 142, "069368839263916": 142, "068507432937622": 142, "0680196285247803": 142, "067608118057251": 142, "0671191215515137": 142, "0666310787200928": 142, "06614351272583": 142, "06565523147583": 142, "065169095993042": 142, "0646817684173584": 142, "0641953945159912": 142, "0637097358703613": 142, "063225507736206": 142, "0627412796020508": 142, "0622589588165283": 142, "0617778301239014": 142, "061298131942749": 142, "0608186721801758": 142, "0603411197662354": 142, "0593914985656738": 142, "0589194297790527": 142, "0584492683410645": 142, "057981252670288": 142, "0579860210418701": 142, "0575251579284668": 142, "0570666790008545": 142, "056609869003296": 142, "056154489517212": 142, "0557031631469727": 142, "055253505706787": 142, "0548057556152344": 142, "0543608665466309": 142, "0539188385009766": 142, "0521833896636963": 142, "0517282485961914": 142, "0512735843658447": 142, "05082106590271": 142, "0503685474395752": 142, "0499186515808105": 142, "0494699478149414": 142, "0490226745605469": 142, "048769474029541": 142, "0483293533325195": 142, "0478920936584473": 142, "047454833984375": 142, "0470192432403564": 142, "0463809967041016": 142, "0459511280059814": 142, "0455231666564941": 142, "0450975894927979": 142, "0446724891662598": 142, "0442242622375488": 142, "0438036918640137": 142, "0433850288391113": 142, "04296875": 142, "0425548553466797": 142, "0421438217163086": 142, "0417358875274658": 142, "0413315296173096": 142, "040928840637207": 142, "0405313968658447": 142, "0401370525360107": 142, "0396051406860352": 142, "0392191410064697": 142, "0388357639312744": 142, "0384571552276611": 142, "037414789199829": 142, "037027359008789": 142, "036646842956543": 142, "0362694263458252": 142, "0358965396881104": 142, "0355284214019775": 142, "0351641178131104": 142, "0348045825958252": 142, "034224033355713": 142, "0338711738586426": 142, "0012100528692826629": 142, "034375645220279694": 142, "014910289086401463": 142, "0115683414041996": 142, "011326761916279793": 142, "024826932698488235": 142, "005670824088156223": 142, "0005289450054988265": 142, "01960947923362255": 142, "888169446028769e": 142, "00472802622243762": 142, "013580196537077427": 142, "02621920220553875": 142, "0025055697187781334": 142, "0014846691628918052": 142, "52607559459284e": 142, "012939230538904667": 142, "007985997013747692": 142, "007704433985054493": 142, "009557201527059078": 142, "011464420706033707": 142, "001427552429959178": 142, "0031320443376898766": 142, "016183942556381226": 142, "004587318282574415": 142, "002793786581605673": 142, "020670127123594284": 142, "10154471546411514": 142, "01681271754205227": 142, "015964174643158913": 142, "08041082322597504": 142, "029831668362021446": 142, "03266430273652077": 142, "434740424156189": 142, "458904504776001": 142, "067270278930664": 142, "014736365526914597": 142, "895370960235596": 142, "054067611694336": 142, "3805993795394897": 142, "339630603790283": 142, "08026123046875": 142, "255956172943115": 142, "442122459411621": 142, "06505584716797": 142, "8653135299682617": 142, "888580799102783": 142, "103126525878906": 142, "3991868495941162": 142, "367913722991943": 142, "0253963470459": 142, "075891494750977": 142, "455429792404175": 142, "0662841796875": 142, "704733371734619": 142, "887960910797119": 142, "037147521972656": 142, "303891181945801": 142, "386054992675781": 142, "022369384765625": 142, "149407148361206": 142, "667765140533447": 142, "952333450317383": 142, "329970121383667": 142, "939789772033691": 142, "58050537109375": 142, "1699378490447998": 142, "0673396587371826": 142, "0559041500091553": 142, "0464928150177": 142, "037647008895874": 142, "0294082164764404": 142, "021716833114624": 142, "014483690261841": 142, "007719039916992": 142, "0011773109436035": 142, "994886875152588": 142, "9887988567352295": 142, "9828779697418213": 142, "9770927429199219": 142, "9714152812957764": 142, "9660592079162598": 142, "960402011871338": 142, "9549574851989746": 142, "9495646953582764": 142, "944221019744873": 142, "938917875289917": 142, "9336581230163574": 142, "928433895111084": 142, "923243522644043": 142, "9180865287780762": 142, "9129633903503418": 142, "9078741073608398": 142, "9028167724609375": 142, "8977940082550049": 142, "8929693698883057": 142, "888017177581787": 142, "8834660053253174": 142, "8785760402679443": 142, "8737194538116455": 142, "868898630142212": 142, "864121913909912": 142, "859400749206543": 142, "8547368049621582": 142, "8501288890838623": 142, "845569372177124": 142, "8410515785217285": 142, "8365669250488281": 142, "83211088180542": 142, "8270118236541748": 142, "8226027488708496": 142, "8182177543640137": 142, "8138535022735596": 142, "8095121383666992": 142, "8051910400390625": 142, "8008906841278076": 142, "7966089248657227": 142, "7923476696014404": 142, "7881016731262207": 142, "7838709354400635": 142, "779655933380127": 142, "7754542827606201": 142, "7712669372558594": 142, "7670347690582275": 142, "7628724575042725": 142, "7587237358093262": 142, "7545883655548096": 142, "7504656314849854": 142, "746354579925537": 142, "7422561645507812": 142, "737969160079956": 142, "7338945865631104": 142, "7298321723937988": 142, "725782871246338": 142, "7217466831207275": 142, "7177205085754395": 142, "7137365341186523": 142, "7099547386169434": 142, "7060952186584473": 142, "7021148204803467": 142, "6981470584869385": 142, "6941890716552734": 142, "6900489330291748": 142, "686110258102417": 142, "6821815967559814": 142, "6789016723632812": 142, "6749932765960693": 142, "6710917949676514": 142, "6671991348266602": 142, "66331148147583": 142, "6594343185424805": 142, "655561923980713": 142, "6516969203948975": 142, "6476471424102783": 142, "6437864303588867": 142, "6399335861206055": 142, "63608980178833": 142, "6322529315948486": 142, "6284229755401611": 142, "624556303024292": 142, "6207451820373535": 142, "6169416904449463": 142, "6131486892700195": 142, "609328269958496": 142, "6055567264556885": 142, "6017930507659912": 142, "5980417728424072": 142, "5944347381591797": 142, "5907087326049805": 142, "586996078491211": 142, "58329439163208": 142, "579606533050537": 142, "5759296417236328": 142, "5722682476043701": 142, "568619966506958": 142, "564985990524292": 142, "5613677501678467": 142, "5577633380889893": 142, "5541760921478271": 142, "5506041049957275": 142, "547048568725586": 142, "5435097217559814": 142, "5399889945983887": 142, "5364854335784912": 142, "5329992771148682": 142, "5295298099517822": 142, "5260775089263916": 142, "5226426124572754": 142, "5200810432434082": 142, "5167772769927979": 142, "513401985168457": 142, "5100438594818115": 142, "5067028999328613": 142, "5033769607543945": 142, "5000689029693604": 142, "496776819229126": 142, "4935004711151123": 142, "4902398586273193": 142, "4869961738586426": 142, "483767032623291": 142, "480316162109375": 142, "4789302349090576": 142, "4757592678070068": 142, "4725956916809082": 142, "4694461822509766": 142, "4663095474243164": 142, "4631853103637695": 142, "4602577686309814": 142, "4571592807769775": 142, "4540736675262451": 142, "4510014057159424": 142, "4479398727416992": 142, "4446637630462646": 142, "4416286945343018": 142, "4386069774627686": 142, "4356186389923096": 142, "4326627254486084": 142, "4297385215759277": 142, "4268462657928467": 142, "4239845275878906": 142, "4211549758911133": 142, "4183552265167236": 142, "4155852794647217": 142, "4127686023712158": 142, "409963607788086": 142, "4072761535644531": 142, "404618501663208": 142, "4019889831542969": 142, "3993873596191406": 142, "3968133926391602": 142, "3942654132843018": 142, "3917438983917236": 142, "3892474174499512": 142, "3867764472961426": 142, "384047031402588": 142, "3817412853240967": 142, "379347562789917": 142, "3771095275878906": 142, "3747620582580566": 142, "3724358081817627": 142, "3678474426269531": 142, "365584373474121": 142, "36334228515625": 142, "3610405921936035": 142, "3588368892669678": 142, "356633186340332": 142, "3544659614562988": 142, "3523187637329102": 142, "3501896858215332": 142, "348257064819336": 142, "346161127090454": 142, "3440825939178467": 142, "34201979637146": 142, "3399734497070312": 142, "3379411697387695": 142, "3358380794525146": 142, "333834171295166": 142, "331845998764038": 142, "3298735618591309": 142, "3279149532318115": 142, "3259711265563965": 142, "3240408897399902": 142, "3221235275268555": 142, "3202204704284668": 142, "318328857421875": 142, "3164501190185547": 142, "3145842552185059": 142, "3128128051757812": 142, "310969352722168": 142, "3091371059417725": 142, "3073155879974365": 142, "3053455352783203": 142, "3032310009002686": 142, "3014423847198486": 142, "2996623516082764": 142, "297881841659546": 142, "2961180210113525": 142, "2943627834320068": 142, "2926154136657715": 142, "2921888828277588": 142, "290461540222168": 142, "288740634918213": 142, "2870264053344727": 142, "2853188514709473": 142, "2836182117462158": 142, "2819249629974365": 142, "2802379131317139": 142, "278557538986206": 142, "2768847942352295": 142, "2752182483673096": 142, "273559331893921": 142, "2718465328216553": 142, "2702007293701172": 142, "2686278820037842": 142, "2669994831085205": 142, "265378713607788": 142, "263765573501587": 142, "2621607780456543": 142, "2605633735656738": 142, "2589733600616455": 142, "257390022277832": 142, "2558143138885498": 142, "254246711730957": 142, "2526862621307373": 142, "2511324882507324": 142, "2495861053466797": 142, "2480478286743164": 142, "2465159893035889": 142, "2449924945831299": 142, "243448257446289": 142, "2419404983520508": 142, "240440845489502": 142, "238950252532959": 142, "2374672889709473": 142, "236039400100708": 142, "234574556350708": 142, "2331180572509766": 142, "2316696643829346": 142, "2302300930023193": 142, "2287991046905518": 142, "2273764610290527": 142, "2259631156921387": 142, "224557638168335": 142, "2231605052947998": 142, "2217726707458496": 142, "2203924655914307": 142, "2190208435058594": 142, "2176573276519775": 142, "2163026332855225": 142, "2149550914764404": 142, "2136156558990479": 142, "2122840881347656": 142, "2109601497650146": 142, "2096431255340576": 142, "208432674407959": 142, "2071306705474854": 142, "2058355808258057": 142, "2045469284057617": 142, "2032649517059326": 142, "2019894123077393": 142, "2007203102111816": 142, "1993472576141357": 142, "198089361190796": 142, "196838140487671": 142, "1955926418304443": 142, "1943535804748535": 142, "1931216716766357": 142, "1918950080871582": 142, "1905748844146729": 142, "1887474060058594": 142, "1875393390655518": 142, "1863374710083008": 142, "184326410293579": 142, "1831414699554443": 142, "1819629669189453": 142, "1807913780212402": 142, "1796271800994873": 142, "1784694194793701": 142, "1778829097747803": 142, "1767139434814453": 142, "1755759716033936": 142, "174382209777832": 142, "17326021194458": 142, "172145128250122": 142, "1710376739501953": 142, "005127250216901302": 142, "008975543081760406": 142, "01450691744685173": 142, "0033868071623146534": 142, "00280620064586401": 142, "012134267948567867": 142, "0006210757419466972": 142, "003940270282328129": 142, "014677051454782486": 142, "008215370588004589": 142, "008536352775990963": 142, "007039390504360199": 142, "0009105679346248507": 142, "01905018836259842": 142, "06122765317559242": 142, "01898195594549179": 142, "0021313403267413378": 142, "0010792611865326762": 142, "011465979740023613": 142, "0016686805756762624": 142, "008915318176150322": 142, "011092714965343475": 142, "009671650826931": 142, "01391541212797165": 142, "027814535424113274": 142, "03970996290445328": 142, "03333328664302826": 142, "2534252405166626": 142, "10223132371902466": 142, "16292144358158112": 142, "10631812363862991": 142, "13385644555091858": 142, "00502549484372139": 142, "3856465816497803": 142, "4907126426696777": 142, "17082405090332": 142, "008654332719743252": 142, "947704315185547": 142, "047752380371094": 142, "4040162563323975": 142, "362085342407227": 142, "046754837036133": 142, "2257232666015625": 142, "4878339767456055": 142, "05097198486328": 142, "8235461711883545": 142, "928939342498779": 142, "059412002563477": 142, "4078325033187866": 142, "371866703033447": 142, "056926727294922": 142, "020859718322754": 142, "4906280040740967": 142, "03721046447754": 142, "640838146209717": 142, "9298601150512695": 142, "06057357788086": 142, "22022819519043": 142, "3425517082214355": 142, "029640197753906": 142, "0173115730285645": 142, "2832553386688232": 142, "13775634765625": 142, "3748414516448975": 142, "0675346851348877": 142, "60279083251953": 142, "0322270393371582": 142, "1261861324310303": 142, "1186151504516602": 142, "112070083618164": 142, "1057357788085938": 142, "0995545387268066": 142, "0936000347137451": 142, "0880396366119385": 142, "0823109149932861": 142, "076477289199829": 142, "0707480907440186": 142, "0655884742736816": 142, "0606131553649902": 142, "0558252334594727": 142, "0512306690216064": 142, "0468311309814453": 142, "0426266193389893": 142, "0386192798614502": 142, "0348093509674072": 142, "031200885772705": 142, "0277986526489258": 142, "0246143341064453": 142, "0216591358184814": 142, "018949270248413": 142, "01646089553833": 142, "0142905712127686": 142, "0124115943908691": 142, "010829210281372": 142, "0095384120941162": 142, "0084877014160156": 142, "0076873302459717": 142, "006531000137329": 142, "006049394607544": 142, "0055699348449707": 142, "005056381225586": 142, "0044913291931152": 142, "0038836002349854": 142, "0032577514648438": 142, "0026452541351318": 142, "0020723342895508": 142, "0015668869018555": 142, "001138687133789": 142, "0007953643798828": 142, "000532627105713": 142, "0003433227539062": 142, "0002195835113525": 142, "0001540184020996": 142, "0001380443572998": 142, "000164270401001": 142, "000227451324463": 142, "9997696280479431": 142, "9998926520347595": 142, "0000391006469727": 142, "9997809529304504": 142, "9999637007713318": 142, "0001599788665771": 142, "0003702640533447": 142, "0005886554718018": 142, "0008184909820557": 142, "0010552406311035": 142, "0013000965118408": 142, "0015511512756348": 142, "0018069744110107": 142, "0020661354064941": 142, "0023303031921387": 142, "0025975704193115": 142, "0028660297393799": 142, "0035154819488525": 142, "0037896633148193": 142, "0040650367736816": 142, "0043399333953857": 142, "004371166229248": 142, "0046451091766357": 142, "0049738883972168": 142, "0052461624145508": 142, "0055172443389893": 142, "005786418914795": 142, "006054401397705": 142, "0063202381134033": 142, "0065820217132568": 142, "0068416595458984": 142, "0070991516113281": 142, "007354497909546": 142, "007605791091919": 142, "0078392028808594": 142, "0080139636993408": 142, "0082509517669678": 142, "0084898471832275": 142, "0087730884552002": 142, "0094435214996338": 142, "0096356868743896": 142, "009857177734375": 142, "010075569152832": 142, "010288953781128": 142, "0104997158050537": 142, "0107066631317139": 142, "0109100341796875": 142, "0111069679260254": 142, "0113015174865723": 142, "0115876197814941": 142, "0117735862731934": 142, "0119576454162598": 142, "0121376514434814": 142, "0123140811920166": 142, "0124852657318115": 142, "0126533508300781": 142, "0128192901611328": 142, "0129814147949219": 142, "0131418704986572": 142, "0132997035980225": 142, "013376235961914": 142, "0135273933410645": 142, "0136761665344238": 142, "0138230323791504": 142, "013861894607544": 142, "014005184173584": 142, "0141470432281494": 142, "0142865180969238": 142, "0144245624542236": 142, "0145606994628906": 142, "0146939754486084": 142, "0148279666900635": 142, "0149574279785156": 142, "0150752067565918": 142, "0152308940887451": 142, "0153594017028809": 142, "0154869556427002": 142, "0156149864196777": 142, "0157406330108643": 142, "0158662796020508": 142, "0159904956817627": 142, "016113519668579": 142, "0162036418914795": 142, "016319990158081": 142, "016434907913208": 142, "0162715911865234": 142, "016383171081543": 142, "0165162086486816": 142, "0166256427764893": 142, "0167341232299805": 142, "0168404579162598": 142, "0169470310211182": 142, "0169341564178467": 142, "0165023803710938": 142, "0166006088256836": 142, "0166971683502197": 142, "0167934894561768": 142, "0168871879577637": 142, "0169811248779297": 142, "017073392868042": 142, "017164945602417": 142, "0172560214996338": 142, "017347812652588": 142, "0174381732940674": 142, "0175299644470215": 142, "0176222324371338": 142, "0177154541015625": 142, "017812728881836": 142, "0179100036621094": 142, "018007516860962": 142, "0181071758270264": 142, "0182101726531982": 142, "0183143615722656": 142, "0184214115142822": 142, "0185303688049316": 142, "0186424255371094": 142, "0187592506408691": 142, "0188775062561035": 142, "0188853740692139": 142, "0190138816833496": 142, "0191447734832764": 142, "0192794799804688": 142, "019418478012085": 142, "0195631980895996": 142, "0197107791900635": 142, "0198628902435303": 142, "020019292831421": 142, "0201778411865234": 142, "0203404426574707": 142, "0205063819885254": 142, "0206773281097412": 142, "0208516120910645": 142, "0210285186767578": 142, "0212087631225586": 142, "0213913917541504": 142, "0215764045715332": 142, "0213258266448975": 142, "0215184688568115": 142, "021712064743042": 142, "0219082832336426": 142, "0221030712127686": 142, "0223002433776855": 142, "022179126739502": 142, "0223798751831055": 142, "0225803852081299": 142, "0227787494659424": 142, "0228006839752197": 142, "0229320526123047": 142, "023127555847168": 142, "0233206748962402": 142, "0235135555267334": 142, "0237042903900146": 142, "0238926410675049": 142, "0240790843963623": 142, "0242626667022705": 142, "0244457721710205": 142, "024491310119629": 142, "0246706008911133": 142, "0247876644134521": 142, "0249607563018799": 142, "0251309871673584": 142, "025298833847046": 142, "0254631042480469": 142, "0256259441375732": 142, "0257837772369385": 142, "0258963108062744": 142, "0260505676269531": 142, "0262031555175781": 142, "0263512134552002": 142, "0264956951141357": 142, "0266382694244385": 142, "0267784595489502": 142, "0269169807434082": 142, "0270516872406006": 142, "027343988418579": 142, "027475118637085": 142, "0276029109954834": 142, "027728796005249": 142, "028045654296875": 142, "028167963027954": 142, "0280930995941162": 142, "0282416343688965": 142, "0283589363098145": 142, "0284736156463623": 142, "0285868644714355": 142, "0284452438354492": 142, "0285589694976807": 142, "028669834136963": 142, "028566598892212": 142, "0286760330200195": 142, "0287816524505615": 142, "0287082195281982": 142, "0288102626800537": 142, "0290462970733643": 142, "0291380882263184": 142, "029261827468872": 142, "0293498039245605": 142, "0294339656829834": 142, "0295169353485107": 142, "0295963287353516": 142, "0296733379364014": 142, "0297482013702393": 142, "0298197269439697": 142, "0296893119812012": 142, "0297589302062988": 142, "0298266410827637": 142, "029891014099121": 142, "029956579208374": 142, "0300190448760986": 142, "0300803184509277": 142, "0301413536071777": 142, "0302000045776367": 142, "0304954051971436": 142, "0305519104003906": 142, "0306079387664795": 142, "0309510231018066": 142, "0309169292449951": 142, "0311434268951416": 142, "0311970710754395": 142, "0312511920928955": 142, "031235694885254": 142, "0314052104949951": 142, "0313169956207275": 142, "0313704013824463": 142, "0314230918884277": 142, "0314760208129883": 142, "0312106609344482": 142, "0314860343933105": 142, "0315062999725342": 142, "0313451290130615": 142, "0313658714294434": 142, "0314764976501465": 142, "0314977169036865": 142, "0315194129943848": 142, "0315415859222412": 142, "0315639972686768": 142, "0315864086151123": 142, "031609058380127": 142, "0315392017364502": 142, "0315649509429932": 142, "0315923690795898": 142, "031313419342041": 142, "0313422679901123": 142, "03108811378479": 142, "0311200618743896": 142, "0317304134368896": 142, "0319147109985352": 142, "0319459438323975": 142, "0320987701416016": 142, "008131593465805054": 142, "0038464439567178488": 142, "013487239368259907": 142, "025717224925756454": 142, "016819996759295464": 142, "008619205094873905": 142, "014502345584332943": 142, "04013650119304657": 142, "0016219168901443481": 142, "013047467917203903": 142, "026421040296554565": 142, "003381990361958742": 142, "006678814068436623": 142, "0026759738102555275": 142, "0018878612900152802": 142, "01772116869688034": 142, "025161657482385635": 142, "025883495807647705": 142, "01969262585043907": 142, "027149975299835205": 142, "014462636783719063": 142, "016855187714099884": 142, "026500754058361053": 142, "031072888523340225": 142, "022524137049913406": 142, "031989119946956635": 142, "011025486513972282": 142, "1364728957414627": 142, "003868397092446685": 142, "03327438607811928": 142, "03371388092637062": 142, "07241478562355042": 142, "07060801982879639": 142, "4344220161437988": 142, "3924765586853027": 142, "057147979736328": 142, "024203449487686157": 142, "836455345153809": 142, "065689086914062": 142, "369126319885254": 142, "285808086395264": 142, "05906105041504": 142, "258016586303711": 142, "395646095275879": 142, "074661254882812": 142, "824540376663208": 142, "800195693969727": 142, "040712356567383": 142, "4064263105392456": 142, "29607629776001": 142, "03360939025879": 142, "074278354644775": 142, "3993334770202637": 142, "056970596313477": 142, "697102069854736": 142, "8080949783325195": 142, "036296844482422": 142, "2823920249938965": 142, "2535576820373535": 142, "145050048828125": 142, "930647134780884": 142, "73666524887085": 142, "060029983520508": 142, "490725994110107": 142, "944754600524902": 142, "225139617919922": 142, "1028437614440918": 142, "6766769886016846": 142, "6692070960998535": 142, "6612873077392578": 142, "653468370437622": 142, "64577317237854": 142, "6382501125335693": 142, "6308932304382324": 142, "6236951351165771": 142, "616642951965332": 142, "609785556793213": 142, "602996826171875": 142, "5963196754455566": 142, "5895845890045166": 142, "5830841064453125": 142, "5766961574554443": 142, "5703959465026855": 142, "564176321029663": 142, "5580146312713623": 142, "5518159866333008": 142, "5458219051361084": 142, "5403242111206055": 142, "5344641208648682": 142, "5286707878112793": 142, "5229172706604004": 142, "517249584197998": 142, "5116455554962158": 142, "5061039924621582": 142, "500626802444458": 142, "4952151775360107": 142, "4895684719085693": 142, "4842894077301025": 142, "4790832996368408": 142, "4739480018615723": 142, "4688880443572998": 142, "4636619091033936": 142, "4587459564208984": 142, "4539070129394531": 142, "449188470840454": 142, "4443819522857666": 142, "4395973682403564": 142, "4351084232330322": 142, "430711030960083": 142, "4263949394226074": 142, "4221065044403076": 142, "417954683303833": 142, "4138805866241455": 142, "409881353378296": 142, "4060864448547363": 142, "4022343158721924": 142, "3984532356262207": 142, "3947391510009766": 142, "391092300415039": 142, "387519359588623": 142, "3840045928955078": 142, "3805534839630127": 142, "3771677017211914": 142, "3738422393798828": 142, "370579481124878": 142, "3673760890960693": 142, "3642323017120361": 142, "361147165298462": 142, "3581185340881348": 142, "3551476001739502": 142, "3522305488586426": 142, "348853588104248": 142, "346118688583374": 142, "3433609008789062": 142, "3406553268432617": 142, "3380002975463867": 142, "3353946208953857": 142, "3329315185546875": 142, "3304228782653809": 142, "3276774883270264": 142, "3252577781677246": 142, "3228819370269775": 142, "3205478191375732": 142, "3182580471038818": 142, "316007137298584": 142, "3138096332550049": 142, "3116648197174072": 142, "309617042541504": 142, "3075695037841797": 142, "3055682182312012": 142, "3036110401153564": 142, "301642656326294": 142, "299769401550293": 142, "2979345321655273": 142, "2961368560791016": 142, "2943165302276611": 142, "292586088180542": 142, "2908899784088135": 142, "2892248630523682": 142, "2875888347625732": 142, "2844047546386719": 142, "282853603363037": 142, "2813270092010498": 142, "2798264026641846": 142, "2783491611480713": 142, "2771685123443604": 142, "275733232498169": 142, "2743196487426758": 142, "2729246616363525": 142, "2715489864349365": 142, "2701919078826904": 142, "2687709331512451": 142, "2674486637115479": 142, "2661418914794922": 142, "2648811340332031": 142, "2636053562164307": 142, "2623438835144043": 142, "2610969543457031": 142, "2598648071289062": 142, "2586441040039062": 142, "2583973407745361": 142, "2572300434112549": 142, "2560741901397705": 142, "2549307346343994": 142, "253798007965088": 142, "252676010131836": 142, "2515654563903809": 142, "2504653930664062": 142, "249704360961914": 142, "2486279010772705": 142, "247560977935791": 142, "246504306793213": 142, "245236873626709": 142, "2441985607147217": 142, "2431697845458984": 142, "2421512603759766": 142, "2411401271820068": 142, "2401387691497803": 142, "2391464710235596": 142, "2381644248962402": 142, "2371869087219238": 142, "2362191677093506": 142, "235257863998413": 142, "234304428100586": 142, "23335862159729": 142, "232419490814209": 142, "2314879894256592": 142, "230656385421753": 142, "229736328125": 142, "2288227081298828": 142, "2279143333435059": 142, "2270114421844482": 142, "2261135578155518": 142, "2251036167144775": 142, "2242166996002197": 142, "223332405090332": 142, "2224533557891846": 142, "2215783596038818": 142, "2207074165344238": 142, "2198400497436523": 142, "2189750671386719": 142, "2181143760681152": 142, "2172565460205078": 142, "2164020538330078": 142, "215550422668457": 142, "2146999835968018": 142, "2138524055480957": 142, "213005542755127": 142, "2121608257293701": 142, "2113170623779297": 142, "2104744911193848": 142, "2092599868774414": 142, "2084197998046875": 142, "207578182220459": 142, "2067384719848633": 142, "2058990001678467": 142, "2052764892578125": 142, "2045838832855225": 142, "203742504119873": 142, "2030198574066162": 142, "202176809310913": 142, "2013325691223145": 142, "2004878520965576": 142, "1996424198150635": 142, "198793888092041": 142, "1979458332061768": 142, "197096347808838": 142, "1962449550628662": 142, "195392370223999": 142, "1945385932922363": 142, "1936817169189453": 142, "1928248405456543": 142, "191964864730835": 142, "191103219985962": 142, "190004587173462": 142, "1891393661499023": 142, "188004732131958": 142, "1871342658996582": 142, "186262607574463": 142, "185389757156372": 142, "1845142841339111": 142, "1836364269256592": 142, "182631254196167": 142, "181750774383545": 142, "1808679103851318": 142, "1799819469451904": 142, "1790964603424072": 142, "1782078742980957": 142, "1773180961608887": 142, "176426649093628": 142, "175532341003418": 142, "1746370792388916": 142, "1737399101257324": 142, "1728427410125732": 142, "1719439029693604": 142, "1710443496704102": 142, "1701433658599854": 142, "1692407131195068": 142, "1683390140533447": 142, "1674368381500244": 142, "1664998531341553": 142, "165597677230835": 142, "164696216583252": 142, "16391921043396": 142, "1630189418792725": 142, "1621196269989014": 142, "161219835281372": 142, "160323143005371": 142, "159428596496582": 142, "1586790084838867": 142, "157787561416626": 142, "1568996906280518": 142, "1560156345367432": 142, "155134677886963": 142, "1542584896087646": 142, "1533102989196777": 142, "1524426937103271": 142, "1515800952911377": 142, "1507220268249512": 142, "1498711109161377": 142, "1491551399230957": 142, "148313045501709": 142, "147477149963379": 142, "1466436386108398": 142, "1458170413970947": 142, "1449925899505615": 142, "1441733837127686": 142, "143357515335083": 142, "1425459384918213": 142, "141737937927246": 142, "1410319805145264": 142, "1402301788330078": 142, "1394336223602295": 142, "1386399269104004": 142, "1378519535064697": 142, "1370677947998047": 142, "1362884044647217": 142, "135512351989746": 142, "1347413063049316": 142, "1339752674102783": 142, "1332132816314697": 142, "1324572563171387": 142, "1317055225372314": 142, "1309585571289062": 142, "130216360092163": 142, "1294784545898438": 142, "128746747970581": 142, "1280205249786377": 142, "1273000240325928": 142, "1265833377838135": 142, "1258721351623535": 142, "1251657009124756": 142, "124464988708496": 142, "12388277053833": 142, "1231918334960938": 142, "1226704120635986": 142, "1219890117645264": 142, "1213133335113525": 142, "1206421852111816": 142, "1199758052825928": 142, "1193132400512695": 142, "1186559200286865": 142, "1180038452148438": 142, "11735200881958": 142, "1167054176330566": 142, "115816593170166": 142, "1151766777038574": 142, "1145482063293457": 142, "1138899326324463": 142, "1132359504699707": 142, "1124632358551025": 142, "1118135452270508": 142, "1111655235290527": 142, "1105217933654785": 142, "1098785400390625": 142, "1092379093170166": 142, "1085991859436035": 142, "1079623699188232": 142, "1073250770568848": 142, "106693983078003": 142, "1059293746948242": 142, "1053009033203125": 142, "104712963104248": 142, "104088544845581": 142, "1034653186798096": 142, "0033449246548116207": 142, "01652255840599537": 142, "006772106979042292": 142, "0075117615051567554": 142, "006538669113069773": 142, "005785937421023846": 142, "0017947128508239985": 142, "004393015056848526": 142, "005240573547780514": 142, "0028520342893898487": 142, "004401158541440964": 142, "008214427158236504": 142, "0017255236161872745": 142, "011696495115756989": 142, "003544700564816594": 142, "0050297947600483894": 142, "0009907737839967012": 142, "086211321118753e": 142, "010880854912102222": 142, "021580202504992485": 142, "010926234535872936": 142, "009184755384922028": 142, "010015823878347874": 142, "0005865244893357158": 142, "009783347137272358": 142, "013391539454460144": 142, "006635405123233795": 142, "029070287942886353": 142, "13158878684043884": 142, "015254121273756027": 142, "015366176143288612": 142, "1070324033498764": 142, "05679912865161896": 142, "3142673969268799": 142, "387404680252075": 142, "057090759277344": 142, "08357005566358566": 142, "784695148468018": 142, "06509780883789": 142, "6132444143295288": 142, "2792487144470215": 142, "08970832824707": 142, "133852005004883": 142, "381868839263916": 142, "061166763305664": 142, "7344517707824707": 142, "828004360198975": 142, "066591262817383": 142, "4023174047470093": 142, "329158782958984": 142, "991914749145508": 142, "953108787536621": 142, "39365553855896": 142, "089733123779297": 142, "490880489349365": 142, "7890496253967285": 142, "032073974609375": 142, "1108174324035645": 142, "275707244873047": 142, "090667724609375": 142, "6451906561851501": 142, "162391662597656": 142, "67847442626953": 142, "2999277114868164": 142, "618546962738037": 142, "170120239257812": 142, "0931956768035889": 142, "7931721210479736": 142, "7870020866394043": 142, "7803421020507812": 142, "7738289833068848": 142, "7675645351409912": 142, "7614269256591797": 142, "7553927898406982": 142, "7494418621063232": 142, "7435612678527832": 142, "737738847732544": 142, "7319624423980713": 142, "7268142700195312": 142, "7211103439331055": 142, "71543288230896": 142, "7097737789154053": 142, "704176425933838": 142, "69854736328125": 142, "6929285526275635": 142, "6873178482055664": 142, "681715965270996": 142, "6761212348937988": 142, "6705338954925537": 142, "6652531623840332": 142, "6596801280975342": 142, "6541152000427246": 142, "6486005783081055": 142, "643066167831421": 142, "6375439167022705": 142, "632035493850708": 142, "6265411376953125": 142, "6210620403289795": 142, "6155998706817627": 142, "610156536102295": 142, "604731559753418": 142, "599327564239502": 142, "5939435958862305": 142, "588550090789795": 142, "5829811096191406": 142, "5776689052581787": 142, "5725393295288086": 142, "567322015762329": 142, "56174635887146": 142, "5565271377563477": 142, "551330327987671": 142, "5461573600769043": 142, "5410091876983643": 142, "5358867645263672": 142, "5307896137237549": 142, "5257174968719482": 142, "520672082901001": 142, "5156536102294922": 142, "5106616020202637": 142, "5056979656219482": 142, "5007617473602295": 142, "4958539009094238": 142, "4909753799438477": 142, "4861273765563965": 142, "4813084602355957": 142, "4767134189605713": 142, "4717609882354736": 142, "467090368270874": 142, "4624216556549072": 142, "4578239917755127": 142, "4532945156097412": 142, "4488322734832764": 142, "444434642791748": 142, "4401025772094727": 142, "435833215713501": 142, "4316253662109375": 142, "4274771213531494": 142, "4233882427215576": 142, "419355869293213": 142, "415294885635376": 142, "411191701889038": 142, "4073255062103271": 142, "4035108089447021": 142, "3997478485107422": 142, "3960342407226562": 142, "3923697471618652": 142, "38875412940979": 142, "3851854801177979": 142, "3816630840301514": 142, "3781862258911133": 142, "3747532367706299": 142, "3713634014129639": 142, "3680150508880615": 142, "3647081851959229": 142, "361083984375": 142, "3578543663024902": 142, "3546643257141113": 142, "3515081405639648": 142, "3483891487121582": 142, "345304012298584": 142, "3422529697418213": 142, "3392353057861328": 142, "3362483978271484": 142, "332953929901123": 142, "330033302307129": 142, "327141284942627": 142, "3242762088775635": 142, "321439504623413": 142, "3191180229187012": 142, "3163328170776367": 142, "3135733604431152": 142, "3108375072479248": 142, "30812406539917": 142, "3054335117340088": 142, "3027644157409668": 142, "300116777420044": 142, "2974891662597656": 142, "2948806285858154": 142, "2922782897949219": 142, "2897071838378906": 142, "2867205142974854": 142, "2841854095458984": 142, "2816674709320068": 142, "2791666984558105": 142, "276681900024414": 142, "2742128372192383": 142, "271643877029419": 142, "2692053318023682": 142, "266880750656128": 142, "2644717693328857": 142, "2620766162872314": 142, "259613275527954": 142, "2572455406188965": 142, "255040168762207": 142, "2526988983154297": 142, "250370740890503": 142, "2480547428131104": 142, "245750904083252": 142, "2434582710266113": 142, "241231918334961": 142, "2389612197875977": 142, "236701250076294": 142, "2344517707824707": 142, "2322118282318115": 142, "2299811840057373": 142, "2277603149414062": 142, "2255480289459229": 142, "2223076820373535": 142, "2201104164123535": 142, "2179200649261475": 142, "2157373428344727": 142, "2135612964630127": 142, "2113926410675049": 142, "2092299461364746": 142, "2070746421813965": 142, "204827070236206": 142, "2026853561401367": 142, "2005484104156494": 142, "1984202861785889": 142, "1959621906280518": 142, "1938631534576416": 142, "1917774677276611": 142, "1897060871124268": 142, "1876487731933594": 142, "1856040954589844": 142, "1835730075836182": 142, "1815547943115234": 142, "1795499324798584": 142, "1775572299957275": 142, "175577163696289": 142, "1736092567443848": 142, "1716525554656982": 142, "169708251953125": 142, "1675679683685303": 142, "1656463146209717": 142, "163736343383789": 142, "1618375778198242": 142, "1599502563476562": 142, "1580750942230225": 142, "1562108993530273": 142, "1543595790863037": 142, "1525206565856934": 142, "1506927013397217": 142, "148878574371338": 142, "1470777988433838": 142, "1452901363372803": 142, "143517017364502": 142, "141758918762207": 142, "140016794204712": 142, "1382908821105957": 142, "136582374572754": 142, "1346478462219238": 142, "1331238746643066": 142, "1314325332641602": 142, "1298022270202637": 142, "1281955242156982": 142, "1266119480133057": 142, "125051736831665": 142, "1235177516937256": 142, "12200927734375": 142, "1205267906188965": 142, "119072675704956": 142, "1176471710205078": 142, "116241216659546": 142, "1148741245269775": 142, "1135361194610596": 142, "1121323108673096": 142, "1104180812835693": 142, "1091663837432861": 142, "107923984527588": 142, "1067306995391846": 142, "1054325103759766": 142, "1043000221252441": 142, "1030921936035156": 142, "1020221710205078": 142, "1009836196899414": 142, "0999836921691895": 142, "0990216732025146": 142, "0980970859527588": 142, "0973358154296875": 142, "096484661102295": 142, "095656394958496": 142, "0948379039764404": 142, "094088077545166": 142, "0933668613433838": 142, "0928761959075928": 142, "0921669006347656": 142, "0915148258209229": 142, "090266466140747": 142, "089538812637329": 142, "08894681930542": 142, "0884463787078857": 142, "087888240814209": 142, "087348461151123": 142, "086815595626831": 142, "0863137245178223": 142, "0855154991149902": 142, "085057258605957": 142, "0846261978149414": 142, "0842230319976807": 142, "0838487148284912": 142, "083503246307373": 142, "0831868648529053": 142, "0829005241394043": 142, "0826430320739746": 142, "0824151039123535": 142, "0821592807769775": 142, "0819871425628662": 142, "0818426609039307": 142, "0817253589630127": 142, "081634759902954": 142, "0815691947937012": 142, "0815629959106445": 142, "0815470218658447": 142, "0815529823303223": 142, "0815801620483398": 142, "081676721572876": 142, "0817415714263916": 142, "0818235874176025": 142, "0819239616394043": 142, "0820398330688477": 142, "082169771194458": 142, "082383155822754": 142, "0825390815734863": 142, "082707166671753": 142, "0828857421875": 142, "0830368995666504": 142, "0832340717315674": 142, "0834381580352783": 142, "083648681640625": 142, "0838851928710938": 142, "084108829498291": 142, "084338903427124": 142, "085376501083374": 142, "0862128734588623": 142, "0864498615264893": 142, "0866889953613281": 142, "0869300365447998": 142, "087172508239746": 142, "087416410446167": 142, "0875344276428223": 142, "0877799987792969": 142, "0879302024841309": 142, "0881729125976562": 142, "0884137153625488": 142, "0888409614562988": 142, "089038610458374": 142, "089271068572998": 142, "0894291400909424": 142, "089501142501831": 142, "0898768901824951": 142, "0900945663452148": 142, "0900325775146484": 142, "090181589126587": 142, "09025239944458": 142, "0904512405395508": 142, "090644359588623": 142, "09079909324646": 142, "0917096138000488": 142, "091883897781372": 142, "0920519828796387": 142, "0922126770019531": 142, "0923676490783691": 142, "0930206775665283": 142, "0930678844451904": 142, "01822134293615818": 142, "011919503100216389": 142, "004633489064872265": 142, "04779955744743347": 142, "009318530559539795": 142, "04404516890645027": 142, "10027754306793213": 142, "04875114560127258": 142, "0035230352077633142": 142, "01799040287733078": 142, "02204430103302002": 142, "011286692693829536": 142, "021810302510857582": 142, "012615631334483624": 142, "00020783464424312115": 142, "011358515359461308": 142, "00688562449067831": 142, "017512233927845955": 142, "016539491713047028": 142, "014388815499842167": 142, "011945471167564392": 142, "00506362272426486": 142, "02174880914390087": 142, "004296435974538326": 142, "03972826525568962": 142, "00934826023876667": 142, "00028594539617188275": 142, "09109646081924438": 142, "17895933985710144": 142, "10585552453994751": 142, "13884857296943665": 142, "15093453228473663": 142, "002305966801941395": 142, "4623464345932007": 142, "440483331680298": 142, "070653915405273": 142, "04645330086350441": 142, "879938125610352": 142, "051721572875977": 142, "3666964769363403": 142, "329494476318359": 142, "052946090698242": 142, "266242504119873": 142, "45632004737854": 142, "04176902770996": 142, "877520799636841": 142, "864615440368652": 142, "052845001220703": 142, "4959094524383545": 142, "320774078369141": 142, "142616271972656": 142, "117919921875": 142, "4682557582855225": 142, "043058395385742": 142, "694228649139404": 142, "883840560913086": 142, "066579818725586": 142, "3199687004089355": 142, "323380947113037": 142, "0368595123291": 142, "973186016082764": 142, "2601206600666046": 142, "11307144165039": 142, "889430999755859": 142, "04154076427221298": 142, "30320930480957": 142, "04417085647583": 142, "7388997077941895": 142, "7324659824371338": 142, "7261149883270264": 142, "7198498249053955": 142, "7136709690093994": 142, "7076001167297363": 142, "7017066478729248": 142, "695897102355957": 142, "6899547576904297": 142, "6841187477111816": 142, "6782450675964355": 142, "6723949909210205": 142, "6665620803833008": 142, "6607427597045898": 142, "6549327373504639": 142, "6491150856018066": 142, "6433210372924805": 142, "6375315189361572": 142, "6317434310913086": 142, "6259596347808838": 142, "6201224327087402": 142, "6142010688781738": 142, "6084237098693848": 142, "6026504039764404": 142, "5968830585479736": 142, "5911216735839844": 142, "585364818572998": 142, "5796175003051758": 142, "5738768577575684": 142, "5681462287902832": 142, "5624287128448486": 142, "556722640991211": 142, "5510337352752686": 142, "5454022884368896": 142, "5397498607635498": 142, "5341176986694336": 142, "5283336639404297": 142, "5222833156585693": 142, "5167317390441895": 142, "511352300643921": 142, "5058553218841553": 142, "5003902912139893": 142, "494959831237793": 142, "4895648956298828": 142, "4843339920043945": 142, "4790112972259521": 142, "4737286567687988": 142, "468489170074463": 142, "4632914066314697": 142, "458134651184082": 142, "4530231952667236": 142, "4479551315307617": 142, "442931890487671": 142, "4379518032073975": 142, "4330191612243652": 142, "428131103515625": 142, "4232873916625977": 142, "418342113494873": 142, "4135923385620117": 142, "4088892936706543": 142, "4042339324951172": 142, "399627447128296": 142, "3950695991516113": 142, "3905613422393799": 142, "3861057758331299": 142, "3817567825317383": 142, "377403974533081": 142, "3731067180633545": 142, "3688642978668213": 142, "3645930290222168": 142, "3604907989501953": 142, "3564205169677734": 142, "3524057865142822": 142, "3484482765197754": 142, "3445453643798828": 142, "3408446311950684": 142, "3370532989501953": 142, "3333172798156738": 142, "3296360969543457": 142, "3260080814361572": 142, "3224334716796875": 142, "3189103603363037": 142, "3154375553131104": 142, "3120160102844238": 142, "3086140155792236": 142, "304976463317871": 142, "301701307296753": 142, "298182487487793": 142, "2950003147125244": 142, "2918622493743896": 142, "2887697219848633": 142, "2857208251953125": 142, "2827155590057373": 142, "2798864841461182": 142, "2769694328308105": 142, "2740952968597412": 142, "2711105346679688": 142, "2683210372924805": 142, "265575885772705": 142, "2628719806671143": 142, "2602112293243408": 142, "257591962814331": 142, "255014419555664": 142, "252476692199707": 142, "2499802112579346": 142, "2474753856658936": 142, "245058536529541": 142, "2426810264587402": 142, "2403342723846436": 142, "2380342483520508": 142, "2357721328735352": 142, "2334487438201904": 142, "2312614917755127": 142, "229109287261963": 142, "2272553443908691": 142, "2251031398773193": 142, "2227809429168701": 142, "2207622528076172": 142, "2187762260437012": 142, "2167351245880127": 142, "214810848236084": 142, "2129158973693848": 142, "2110493183135986": 142, "2092094421386719": 142, "207397222518921": 142, "205611228942871": 142, "2038507461547852": 142, "2019999027252197": 142, "200289011001587": 142, "1986010074615479": 142, "1969377994537354": 142, "1952977180480957": 142, "1936774253845215": 142, "1920831203460693": 142, "1907103061676025": 142, "1901319026947021": 142, "1886065006256104": 142, "187101125717163": 142, "1855278015136719": 142, "1840705871582031": 142, "1826372146606445": 142, "181227445602417": 142, "1798396110534668": 142, "1784741878509521": 142, "1771295070648193": 142, "1758065223693848": 142, "1745035648345947": 142, "1732206344604492": 142, "1719577312469482": 142, "1707122325897217": 142, "169485330581665": 142, "1682746410369873": 142, "1670818328857422": 142, "1659040451049805": 142, "1647422313690186": 142, "1635944843292236": 142, "1624603271484375": 142, "1613409519195557": 142, "1602318286895752": 142, "159135341644287": 142, "1580498218536377": 142, "1569750308990479": 142, "1570839881896973": 142, "156012773513794": 142, "1549508571624756": 142, "1538972854614258": 142, "1528348922729492": 142, "1517751216888428": 142, "1509013175964355": 142, "149876356124878": 142, "148857831954956": 142, "147845983505249": 142, "1468381881713867": 142, "1455957889556885": 142, "144599199295044": 142, "1436071395874023": 142, "1426193714141846": 142, "1416347026824951": 142, "1406540870666504": 142, "1396770477294922": 142, "138702392578125": 142, "137730598449707": 142, "136760950088501": 142, "1357362270355225": 142, "1347715854644775": 142, "133810043334961": 142, "1328489780426025": 142, "132014513015747": 142, "131052017211914": 142, "1300764083862305": 142, "1291155815124512": 142, "128154993057251": 142, "127194881439209": 142, "1261591911315918": 142, "125199317932129": 142, "1242403984069824": 142, "1232810020446777": 142, "122321605682373": 142, "1213629245758057": 142, "120323657989502": 142, "11936616897583": 142, "118408441543579": 142, "1174516677856445": 142, "1164958477020264": 142, "1155402660369873": 142, "114586591720581": 142, "113633155822754": 142, "1126809120178223": 142, "111729621887207": 142, "1107814311981201": 142, "1098334789276123": 142, "1088874340057373": 142, "1079444885253906": 142, "1070027351379395": 142, "1060636043548584": 142, "105273962020874": 142, "104339361190796": 142, "1034059524536133": 142, "1024749279022217": 142, "1015465259552002": 142, "1006219387054443": 142, "0998904705047607": 142, "0989704132080078": 142, "098071575164795": 142, "0971579551696777": 142, "0962634086608887": 142, "0954835414886475": 142, "0945827960968018": 142, "0936863422393799": 142, "0927939414978027": 142, "091905117034912": 142, "0910203456878662": 142, "0901403427124023": 142, "0892648696899414": 142, "0883917808532715": 142, "0875253677368164": 142, "0866634845733643": 142, "0858080387115479": 142, "0846765041351318": 142, "083832025527954": 142, "082991123199463": 142, "0821561813354492": 142, "0813264846801758": 142, "080502986907959": 142, "078873872756958": 142, "078068494796753": 142, "0772690773010254": 142, "0764756202697754": 142, "075688123703003": 142, "0749082565307617": 142, "0741345882415771": 142, "0733678340911865": 142, "0726070404052734": 142, "0718541145324707": 142, "0711073875427246": 142, "0703680515289307": 142, "069636583328247": 142, "0689103603363037": 142, "0681915283203125": 142, "0674793720245361": 142, "0667753219604492": 142, "0659101009368896": 142, "0652198791503906": 142, "0645930767059326": 142, "063915729522705": 142, "0631675720214844": 142, "0625040531158447": 142, "0618469715118408": 142, "061194896697998": 142, "0605487823486328": 142, "0598244667053223": 142, "059190034866333": 142, "0585613250732422": 142, "0579383373260498": 142, "0573194026947021": 142, "0583393573760986": 142, "0576648712158203": 142, "056994915008545": 142, "0563321113586426": 142, "0556728839874268": 142, "0550191402435303": 142, "0543723106384277": 142, "053729772567749": 142, "052943468093872": 142, "0523138046264648": 142, "0516881942749023": 142, "0510692596435547": 142, "0504570007324219": 142, "0498504638671875": 142, "0492494106292725": 142, "0486547946929932": 142, "0480663776397705": 142, "0474836826324463": 142, "0469071865081787": 142, "0463354587554932": 142, "045769453048706": 142, "0452759265899658": 142, "0447213649749756": 142, "007410023361444473": 142, "0003730780736077577": 142, "0032598604448139668": 142, "008625230751931667": 142, "004012731369584799": 142, "0045272051356732845": 142, "011358200572431087": 142, "000814699218608439": 142, "005821341183036566": 142, "004669970367103815": 142, "0003364644362591207": 142, "00234945653937757": 142, "006097744219005108": 142, "0011501024710014462": 142, "0033452557399868965": 142, "006420045159757137": 142, "003540660021826625": 142, "002444688929244876": 142, "009965166449546814": 142, "005138499196618795": 142, "0016940553905442357": 142, "007169550284743309": 142, "0009687315323390067": 142, "0024057591799646616": 142, "014853703789412975": 142, "002425958402454853": 142, "0032023689709603786": 142, "09946240484714508": 142, "06311681866645813": 142, "016072358936071396": 142, "09994018822908401": 142, "0018858042312785983": 142, "0425228551030159": 142, "3764582872390747": 142, "437035322189331": 142, "063961029052734": 142, "01521677803248167": 142, "88784122467041": 142, "049278259277344": 142, "4415419101715088": 142, "321207046508789": 142, "067495346069336": 142, "139657974243164": 142, "43452787399292": 142, "021400451660156": 142, "785935640335083": 142, "88446044921875": 142, "074377059936523": 142, "3742369413375854": 142, "293472766876221": 142, "04326820373535": 142, "99662971496582": 142, "433631420135498": 142, "099050521850586": 142, "588871955871582": 142, "920963287353516": 142, "034534454345703": 142, "20497989654541": 142, "320624828338623": 142, "057117462158203": 142, "292685031890869": 142, "7500662803649902": 142, "968076705932617": 142, "841899394989014": 142, "4608242511749268": 142, "357952117919922": 142, "137939214706421": 142, "1551504135131836": 142, "141301155090332": 142, "1308183670043945": 142, "121127128601074": 142, "112203359603882": 142, "1042277812957764": 142, "0964746475219727": 142, "089149236679077": 142, "082165479660034": 142, "075460433959961": 142, "069192409515381": 142, "0627503395080566": 142, "05661678314209": 142, "0506107807159424": 142, "044717311859131": 142, "038923501968384": 142, "033212900161743": 142, "0275774002075195": 142, "02200984954834": 142, "0165035724639893": 142, "0110549926757812": 142, "0056569576263428": 142, "000304698944092": 142, "9949994087219238": 142, "9897387027740479": 142, "9845163822174072": 142, "979332685470581": 142, "9741835594177246": 142, "9690709114074707": 142, "9639875888824463": 142, "9589364528656006": 142, "953911542892456": 142, "9489145278930664": 142, "943937063217163": 142, "9389853477478027": 142, "9340550899505615": 142, "9291510581970215": 142, "9243712425231934": 142, "9195058345794678": 142, "9142096042633057": 142, "9093804359436035": 142, "9045653343200684": 142, "8995461463928223": 142, "8947670459747314": 142, "889997959136963": 142, "885239839553833": 142, "8804917335510254": 142, "875810146331787": 142, "8710811138153076": 142, "866358757019043": 142, "8616423606872559": 142, "8569316864013672": 142, "8522264957427979": 142, "8475258350372314": 142, "8428313732147217": 142, "8381407260894775": 142, "8334555625915527": 142, "8287756443023682": 142, "8241016864776611": 142, "819434404373169": 142, "8147733211517334": 142, "8101184368133545": 142, "8054687976837158": 142, "8008275032043457": 142, "7961938381195068": 142, "7915685176849365": 142, "7870008945465088": 142, "7823891639709473": 142, "7777862548828125": 142, "7731919288635254": 142, "7686069011688232": 142, "7640283107757568": 142, "7595860958099365": 142, "7550246715545654": 142, "7504703998565674": 142, "7459261417388916": 142, "7413926124572754": 142, "7368698120117188": 142, "7323544025421143": 142, "7278501987457275": 142, "7233569622039795": 142, "7188732624053955": 142, "7144017219543457": 142, "7097995281219482": 142, "7053534984588623": 142, "7008965015411377": 142, "6964714527130127": 142, "6920616626739502": 142, "6876640319824219": 142, "683281660079956": 142, "6789133548736572": 142, "6745574474334717": 142, "6702165603637695": 142, "6658899784088135": 142, "661576271057129": 142, "6572489738464355": 142, "6529674530029297": 142, "64870023727417": 142, "6444451808929443": 142, "640204668045044": 142, "6359777450561523": 142, "631763219833374": 142, "6275618076324463": 142, "6233727931976318": 142, "6191935539245605": 142, "6153767108917236": 142, "6112253665924072": 142, "6070868968963623": 142, "602957010269165": 142, "5988366603851318": 142, "5947270393371582": 142, "5906269550323486": 142, "5865368843078613": 142, "5824553966522217": 142, "578383207321167": 142, "5743188858032227": 142, "5702626705169678": 142, "5662150382995605": 142, "562175989151001": 142, "5583405494689941": 142, "5543162822723389": 142, "5503010749816895": 142, "5462939739227295": 142, "5422959327697754": 142, "5383071899414062": 142, "5343286991119385": 142, "5303606986999512": 142, "5260570049285889": 142, "522442102432251": 142, "5185120105743408": 142, "514596700668335": 142, "5106911659240723": 142, "5067956447601318": 142, "502915620803833": 142, "4990489482879639": 142, "4951961040496826": 142, "491358757019043": 142, "4874613285064697": 142, "483654260635376": 142, "4798622131347656": 142, "4760878086090088": 142, "4723286628723145": 142, "4685890674591064": 142, "46486496925354": 142, "4611601829528809": 142, "4574718475341797": 142, "4538030624389648": 142, "45015287399292": 142, "4467129707336426": 142, "4431002140045166": 142, "439507246017456": 142, "4359335899353027": 142, "4323770999908447": 142, "4288394451141357": 142, "4253225326538086": 142, "421823263168335": 142, "4183425903320312": 142, "4148509502410889": 142, "4114058017730713": 142, "4079790115356445": 142, "4045689105987549": 142, "4013721942901611": 142, "3979780673980713": 142, "3946192264556885": 142, "3912765979766846": 142, "3879480361938477": 142, "3847072124481201": 142, "3814082145690918": 142, "378133773803711": 142, "3748970031738281": 142, "3714203834533691": 142, "3682563304901123": 142, "365126371383667": 142, "3617300987243652": 142, "3586711883544922": 142, "355644941329956": 142, "3526506423950195": 142, "3496887683868408": 142, "3467586040496826": 142, "3438596725463867": 142, "3409924507141113": 142, "3381552696228027": 142, "3353493213653564": 142, "3326220512390137": 142, "3298757076263428": 142, "3271598815917969": 142, "3244733810424805": 142, "32181715965271": 142, "3191897869110107": 142, "316591739654541": 142, "3140206336975098": 142, "311478853225708": 142, "3089640140533447": 142, "3064770698547363": 142, "3040165901184082": 142, "3015847206115723": 142, "2991786003112793": 142, "2967700958251953": 142, "2944164276123047": 142, "292088270187378": 142, "2897863388061523": 142, "2875092029571533": 142, "2852554321289062": 142, "283027172088623": 142, "2808222770690918": 142, "2786409854888916": 142, "276379108428955": 142, "2742440700531006": 142, "2721314430236816": 142, "2699089050292969": 142, "2678394317626953": 142, "2657911777496338": 142, "2637639045715332": 142, "261756181716919": 142, "2601995468139648": 142, "2582318782806396": 142, "2562830448150635": 142, "2541296482086182": 142, "2523157596588135": 142, "2504212856292725": 142, "2485456466674805": 142, "2466864585876465": 142, "2445876598358154": 142, "2427606582641602": 142, "2410504817962646": 142, "2392547130584717": 142, "237475872039795": 142, "2357113361358643": 142, "2337868213653564": 142, "2320537567138672": 142, "2303345203399658": 142, "228630781173706": 142, "2269415855407715": 142, "225266456604004": 142, "224123239517212": 142, "222477912902832": 142, "2208466529846191": 142, "219228744506836": 142, "2176244258880615": 142, "216033935546875": 142, "2144570350646973": 142, "212893009185791": 142, "2113430500030518": 142, "2098057270050049": 142, "2082812786102295": 142, "2067699432373047": 142, "2052695751190186": 142, "203782320022583": 142, "2023077011108398": 142, "2008442878723145": 142, "1993491649627686": 142, "1979074478149414": 142, "1964764595031738": 142, "1950552463531494": 142, "1936445236206055": 142, "1922049522399902": 142, "1908133029937744": 142, "18943190574646": 142, "1880581378936768": 142, "1866943836212158": 142, "1853392124176025": 142, "183992624282837": 142, "1826558113098145": 142, "181326150894165": 142, "1800055503845215": 142, "17869234085083": 142, "1773877143859863": 142, "1760916709899902": 142, "174823522567749": 142, "1735434532165527": 142, "172271966934204": 142, "1710078716278076": 142, "1697523593902588": 142, "1684043407440186": 142, "1670644283294678": 142, "1658306121826172": 142, "1646051406860352": 142, "1633868217468262": 142, "1621763706207275": 142, "1609737873077393": 142, "1598148345947266": 142, "158627986907959": 142, "1574485301971436": 142, "156275987625122": 142, "1545617580413818": 142, "1534020900726318": 142, "1522490978240967": 142, "1511034965515137": 142, "1499640941619873": 142, "1488306522369385": 142, "1477046012878418": 142, "1465833187103271": 142, "1454689502716064": 142, "144150972366333": 142, "1430485248565674": 142, "142270565032959": 142, "1411798000335693": 142, "1400947570800781": 142, "139014482498169": 142, "0049705058336257935": 142, "0026494150515645742": 142, "009773170575499535": 142, "018123451620340347": 142, "0033960798755288124": 142, "002152520464733243": 142, "01210375502705574": 142, "010187824256718159": 142, "004648284055292606": 142, "02721078135073185": 142, "013555137440562248": 142, "02856285311281681": 142, "010234792716801167": 142, "898547144373879e": 142, "005993892904371023": 142, "01261952891945839": 142, "013832509517669678": 142, "0033978179562836885": 142, "016984358429908752": 142, "04149220883846283": 142, "07277722656726837": 142, "009440915659070015": 142, "0011115657398477197": 142, "003350346116349101": 142, "019130690023303032": 142, "0069385408423841": 142, "007046252954751253": 142, "2553568482398987": 142, "17673642933368683": 142, "18139450252056122": 142, "05150635913014412": 142, "06189325824379921": 142, "051994070410728455": 142, "137685775756836": 142, "308187484741211": 142, "075151443481445": 142, "2702861726284027": 142, "701376438140869": 142, "114849090576172": 142, "7355101108551025": 142, "224828243255615": 142, "09354019165039": 142, "9684255123138428": 142, "3144023418426514": 142, "084211349487305": 142, "5601000785827637": 142, "740265846252441": 142, "091367721557617": 142, "2490944862365723": 142, "24022102355957": 142, "00435447692871": 142, "782051086425781": 142, "304582357406616": 142, "10140609741211": 142, "325843811035156": 142, "714167594909668": 142, "059558868408203": 142, "9616591930389404": 142, "183703422546387": 142, "101285934448242": 142, "7753670811653137": 142, "174875259399414": 142, "716999053955078": 142, "4633300304412842": 142, "806262969970703": 142, "31175422668457": 142, "1405019760131836": 142, "4174039363861084": 142, "40834641456604": 142, "4002501964569092": 142, "392650842666626": 142, "385418176651001": 142, "3782966136932373": 142, "3712115287780762": 142, "364346981048584": 142, "3575811386108398": 142, "3509039878845215": 142, "3444445133209229": 142, "3382847309112549": 142, "3323941230773926": 142, "3267881870269775": 142, "3213651180267334": 142, "3161475658416748": 142, "3111200332641602": 142, "3062505722045898": 142, "3015658855438232": 142, "2970376014709473": 142, "292656660079956": 142, "2885303497314453": 142, "2844159603118896": 142, "280428409576416": 142, "2766366004943848": 142, "2728824615478516": 142, "26930832862854": 142, "2657694816589355": 142, "2623317241668701": 142, "2589895725250244": 142, "2557415962219238": 142, "2525832653045654": 142, "249748945236206": 142, "2463033199310303": 142, "2430391311645508": 142, "240255355834961": 142, "23750638961792": 142, "2348980903625488": 142, "2322914600372314": 142, "2297534942626953": 142, "2272789478302002": 142, "2248668670654297": 142, "2225151062011719": 142, "2202353477478027": 142, "2179954051971436": 142, "2158079147338867": 142, "213672399520874": 142, "2115838527679443": 142, "2095415592193604": 142, "2075419425964355": 142, "2055656909942627": 142, "2036473751068115": 142, "2017662525177002": 142, "1999192237854004": 142, "1981072425842285": 142, "1963262557983398": 142, "1945748329162598": 142, "1928527355194092": 142, "1912789344787598": 142, "1896123886108398": 142, "18796968460083": 142, "1862261295318604": 142, "1846261024475098": 142, "1830453872680664": 142, "1814827919006348": 142, "179936170578003": 142, "1782944202423096": 142, "1767778396606445": 142, "1752731800079346": 142, "173781156539917": 142, "1723027229309082": 142, "170832872390747": 142, "169374704360962": 142, "1679258346557617": 142, "166698694229126": 142, "165269136428833": 142, "163848638534546": 142, "1624560356140137": 142, "16102933883667": 142, "1596369743347168": 142, "1582520008087158": 142, "156876802444458": 142, "1551587581634521": 142, "1538031101226807": 142, "1524643898010254": 142, "1511459350585938": 142, "1498441696166992": 142, "1485605239868164": 142, "1472949981689453": 142, "1460473537445068": 142, "1448156833648682": 142, "1436026096343994": 142, "1424052715301514": 142, "1412231922149658": 142, "1400585174560547": 142, "1389081478118896": 142, "1377744674682617": 142, "1364772319793701": 142, "1353697776794434": 142, "1342759132385254": 142, "13319730758667": 142, "1321322917938232": 142, "1310803890228271": 142, "1300430297851562": 142, "1287434101104736": 142, "1277296543121338": 142, "1267294883728027": 142, "1258265972137451": 142, "1248540878295898": 142, "123896837234497": 142, "1229543685913086": 142, "1221446990966797": 142, "121230125427246": 142, "1203339099884033": 142, "119452953338623": 142, "11859130859375": 142, "1175272464752197": 142, "116699457168579": 142, "115891695022583": 142, "1151032447814941": 142, "1143360137939453": 142, "1135880947113037": 142, "1128616333007812": 142, "1119070053100586": 142, "1111829280853271": 142, "1105201244354248": 142, "109879970550537": 142, "1092627048492432": 142, "1085779666900635": 142, "1080050468444824": 142, "1065571308135986": 142, "1060302257537842": 142, "1055235862731934": 142, "1050353050231934": 142, "1044023036956787": 142, "1039512157440186": 142, "1035165786743164": 142, "1030983924865723": 142, "102196216583252": 142, "1018075942993164": 142, "1014320850372314": 142, "1009776592254639": 142, "1005668640136719": 142, "100226879119873": 142, "0998992919921875": 142, "0995850563049316": 142, "0992817878723145": 142, "0989930629730225": 142, "0987169742584229": 142, "098454236984253": 142, "0982067584991455": 142, "0979790687561035": 142, "0977697372436523": 142, "0975773334503174": 142, "0972392559051514": 142, "0970866680145264": 142, "096952199935913": 142, "0966362953186035": 142, "0965447425842285": 142, "0963115692138672": 142, "0962607860565186": 142, "0961520671844482": 142, "096146821975708": 142, "0961623191833496": 142, "096198320388794": 142, "0963809490203857": 142, "0964488983154297": 142, "096531867980957": 142, "096681833267212": 142, "096789836883545": 142, "0969102382659912": 142, "0970404148101807": 142, "0971791744232178": 142, "0973286628723145": 142, "0974853038787842": 142, "0976505279541016": 142, "0978238582611084": 142, "0980026721954346": 142, "0984001159667969": 142, "098595142364502": 142, "0987589359283447": 142, "0989773273468018": 142, "1001708507537842": 142, "1007354259490967": 142, "1007862091064453": 142, "1010148525238037": 142, "1012485027313232": 142, "1014888286590576": 142, "1019220352172852": 142, "1021764278411865": 142, "1022894382476807": 142, "102553129196167": 142, "1026666164398193": 142, "102942705154419": 142, "1032259464263916": 142, "1033728122711182": 142, "103546380996704": 142, "1038475036621094": 142, "1041572093963623": 142, "1044752597808838": 142, "1048016548156738": 142, "1051366329193115": 142, "1054821014404297": 142, "1058382987976074": 142, "1062047481536865": 142, "1065824031829834": 142, "1065471172332764": 142, "1069281101226807": 142, "1073355674743652": 142, "1077532768249512": 142, "108076810836792": 142, "1085283756256104": 142, "1082556247711182": 142, "10872220993042": 142, "1091985702514648": 142, "1106858253479004": 142, "111185073852539": 142, "1116206645965576": 142, "1122546195983887": 142, "1127820014953613": 142, "113313913345337": 142, "1138534545898438": 142, "1144039630889893": 142, "1146953105926514": 142, "11525559425354": 142, "116150140762329": 142, "1162493228912354": 142, "1168296337127686": 142, "1174182891845703": 142, "1180105209350586": 142, "118603229522705": 142, "1197328567504883": 142, "1202702522277832": 142, "1208827495574951": 142, "121863603591919": 142, "122490406036377": 142, "123121738433838": 142, "1237564086914062": 142, "1243963241577148": 142, "1250412464141846": 142, "1256897449493408": 142, "1263384819030762": 142, "1273841857910156": 142, "1280503273010254": 142, "1287198066711426": 142, "1293909549713135": 142, "1300671100616455": 142, "1307456493377686": 142, "1314284801483154": 142, "1321141719818115": 142, "132800579071045": 142, "1334810256958008": 142, "1341571807861328": 142, "1348247528076172": 142, "135484218597412": 142, "1361355781555176": 142, "1367781162261963": 142, "1374056339263916": 142, "1372082233428955": 142, "1376824378967285": 142, "1382231712341309": 142, "138737678527832": 142, "1392254829406738": 142, "1396887302398682": 142, "1401193141937256": 142, "1405258178710938": 142, "1409037113189697": 142, "141254186630249": 142, "1415791511535645": 142, "1418769359588623": 142, "1421477794647217": 142, "1423909664154053": 142, "1426079273223877": 142, "1427991390228271": 142, "1429641246795654": 142, "1431045532226562": 142, "143218755722046": 142, "1433095932006836": 142, "1433765888214111": 142, "1434197425842285": 142, "1434404850006104": 142, "1433711051940918": 142, "1433501243591309": 142, "143354892730713": 142, "1432933807373047": 142, "1432101726531982": 142, "1431069374084473": 142, "1429851055145264": 142, "1428446769714355": 142, "1426844596862793": 142, "1425073146820068": 142, "1423137187957764": 142, "1421010494232178": 142, "1418728828430176": 142, "1416294574737549": 142, "1413705348968506": 142, "1410951614379883": 142, "1408052444458008": 142, "09459482133388519": 142, "048061877489089966": 142, "01079072430729866": 142, "06114889681339264": 142, "03963649645447731": 142, "003408025484532118": 142, "08209377527236938": 142, "03196220472455025": 142, "009312729351222515": 142, "0834999531507492": 142, "032109759747982025": 142, "008362083695828915": 142, "0818779394030571": 142, "055134665220975876": 142, "015296801924705505": 142, "058728791773319244": 142, "04191753640770912": 142, "0032214289531111717": 142, "08542726933956146": 142, "036767929792404175": 142, "0023176856338977814": 142, "07801128923892975": 142, "046686798334121704": 142, "01572979800403118": 142, "07850895822048187": 142, "052152566611766815": 142, "0018539903685450554": 142, "008424178697168827": 142, "0727807953953743": 142, "03600562363862991": 142, "08325271308422089": 142, "0918731614947319": 142, "09958615154027939": 142, "4063271284103394": 142, "422729969024658": 142, "064035415649414": 142, "013708540238440037": 142, "869665622711182": 142, "052581787109375": 142, "40630304813385": 142, "3180766105651855": 142, "049882888793945": 142, "21569299697876": 142, "397834539413452": 142, "037796020507812": 142, "7962374687194824": 142, "872547626495361": 142, "04050636291504": 142, "4096274375915527": 142, "310569763183594": 142, "071481704711914": 142, "063738822937012": 142, "4058194160461426": 142, "046510696411133": 142, "651557445526123": 142, "852142333984375": 142, "16000747680664": 142, "222689628601074": 142, "322561264038086": 142, "045146942138672": 142, "4561638832092285": 142, "703614711761475": 142, "146562576293945": 142, "774026393890381": 142, "805464744567871": 142, "384248733520508": 142, "017484188079834": 142, "2773432731628418": 142, "2717595100402832": 142, "264573574066162": 142, "2575874328613281": 142, "250946044921875": 142, "244506597518921": 142, "238255500793457": 142, "2333183288574219": 142, "2274515628814697": 142, "2217679023742676": 142, "2164015769958496": 142, "2108840942382812": 142, "2057998180389404": 142, "200920581817627": 142, "1963021755218506": 142, "1918394565582275": 142, "1875865459442139": 142, "1836538314819336": 142, "1798198223114014": 142, "176191806793213": 142, "172478437423706": 142, "1692311763763428": 142, "1662073135375977": 142, "1633741855621338": 142, "1607248783111572": 142, "1582529544830322": 142, "1559512615203857": 142, "1538116931915283": 142, "1518275737762451": 142, "1499273777008057": 142, "1482293605804443": 142, "1466593742370605": 142, "1450693607330322": 142, "143730878829956": 142, "1424942016601562": 142, "1412222385406494": 142, "1401681900024414": 142, "1391890048980713": 142, "138279914855957": 142, "137432336807251": 142, "1366393566131592": 142, "1358962059020996": 142, "1351978778839111": 142, "1342449188232422": 142, "1336207389831543": 142, "133028268814087": 142, "1324653625488281": 142, "1319305896759033": 142, "131425142288208": 142, "1309411525726318": 142, "1304807662963867": 142, "1300454139709473": 142, "129633903503418": 142, "1292476654052734": 142, "1288847923278809": 142, "128546953201294": 142, "128232717514038": 142, "1279404163360596": 142, "1276724338531494": 142, "1274254322052002": 142, "127199411392212": 142, "12699294090271": 142, "1269292831420898": 142, "126769781112671": 142, "1266117095947266": 142, "1265349388122559": 142, "1264019012451172": 142, "1262779235839844": 142, "1261630058288574": 142, "1260554790496826": 142, "125952959060669": 142, "1258544921875": 142, "1257586479187012": 142, "1256656646728516": 142, "1255724430084229": 142, "1254780292510986": 142, "1253821849822998": 142, "1252832412719727": 142, "1251802444458008": 142, "125072956085205": 142, "1249620914459229": 142, "1248447895050049": 142, "1247200965881348": 142, "1245903968811035": 142, "124452829360962": 142, "1243078708648682": 142, "1241552829742432": 142, "1239964962005615": 142, "1238291263580322": 142, "1236543655395508": 142, "1234726905822754": 142, "1232829093933105": 142, "1230552196502686": 142, "1228523254394531": 142, "122640609741211": 142, "1224026679992676": 142, "122178077697754": 142, "1219449043273926": 142, "1217069625854492": 142, "1214625835418701": 142, "1212108135223389": 142, "1209535598754883": 142, "1206905841827393": 142, "1204204559326172": 142, "1201412677764893": 142, "119858980178833": 142, "1195709705352783": 142, "1192784309387207": 142, "118978500366211": 142, "1186728477478027": 142, "1183598041534424": 142, "1180408000946045": 142, "1178193092346191": 142, "1174862384796143": 142, "11714506149292": 142, "1167950630187988": 142, "1164369583129883": 142, "1160693168640137": 142, "115694284439087": 142, "1153090000152588": 142, "114915132522583": 142, "1143736839294434": 142, "1139600276947021": 142, "1135363578796387": 142, "1131019592285156": 142, "1126573085784912": 142, "1121997833251953": 142, "111732006072998": 142, "1112520694732666": 142, "1107594966888428": 142, "1101789474487305": 142, "109630823135376": 142, "1090970039367676": 142, "1085200309753418": 142, "1079328060150146": 142, "1072421073913574": 142, "106633186340332": 142, "106013536453247": 142, "1053826808929443": 142, "104741096496582": 142, "104090929031372": 142, "1034300327301025": 142, "1027605533599854": 142, "1020827293395996": 142, "101395845413208": 142, "100700855255127": 142, "0999970436096191": 142, "0992865562438965": 142, "0985684394836426": 142, "0978424549102783": 142, "0971102714538574": 142, "0963709354400635": 142, "095625638961792": 142, "0948750972747803": 142, "0941195487976074": 142, "0933587551116943": 142, "0925934314727783": 142, "0918257236480713": 142, "0910539627075195": 142, "0895488262176514": 142, "0887725353240967": 142, "0880482196807861": 142, "0872681140899658": 142, "0864903926849365": 142, "0857124328613281": 142, "0849378108978271": 142, "0841655731201172": 142, "0833954811096191": 142, "0826292037963867": 142, "0818665027618408": 142, "0811080932617188": 142, "0803534984588623": 142, "0796034336090088": 142, "0788583755493164": 142, "0781176090240479": 142, "0773825645446777": 142, "0766541957855225": 142, "0755033493041992": 142, "07478666305542": 142, "073134422302246": 142, "0724210739135742": 142, "0717172622680664": 142, "0710198879241943": 142, "0703277587890625": 142, "0696439743041992": 142, "0689666271209717": 142, "0682964324951172": 142, "0676333904266357": 142, "0669775009155273": 142, "0663301944732666": 142, "065690517425537": 142, "0650577545166016": 142, "0644333362579346": 142, "063817024230957": 142, "063209056854248": 142, "0626084804534912": 142, "062016487121582": 142, "061432123184204": 142, "0608563423156738": 142, "0602879524230957": 142, "0597281455993652": 142, "0591747760772705": 142, "0586302280426025": 142, "0580923557281494": 142, "0575613975524902": 142, "057037353515625": 142, "0553874969482422": 142, "0548474788665771": 142, "0543127059936523": 142, "053783655166626": 142, "0532593727111816": 142, "0527405738830566": 142, "0522277355194092": 142, "0517194271087646": 142, "0512170791625977": 142, "0507185459136963": 142, "0502173900604248": 142, "0497307777404785": 142, "0494377613067627": 142, "0489623546600342": 142, "0484919548034668": 142, "048025369644165": 142, "047562599182129": 142, "047102928161621": 142, "046647310256958": 142, "0461947917938232": 142, "0456593036651611": 142, "0452113151550293": 142, "0443596839904785": 142, "0439202785491943": 142, "043485164642334": 142, "0430536270141602": 142, "0426239967346191": 142, "0421473979949951": 142, "0414071083068848": 142, "040985107421875": 142, "0405681133270264": 142, "0401537418365479": 142, "039841651916504": 142, "0387496948242188": 142, "0383334159851074": 142, "03792405128479": 142, "0375175476074219": 142, "0371191501617432": 142, "0367209911346436": 142, "0363271236419678": 142, "0359370708465576": 142, "0355494022369385": 142, "0351667404174805": 142, "0347862243652344": 142, "034407615661621": 142, "0339686870574951": 142, "0335972309112549": 142, "0332260131835938": 142, "032857894897461": 142, "0324900150299072": 142, "0321235656738281": 142, "0317573547363281": 142, "0313918590545654": 142, "0310277938842773": 142, "030663251876831": 142, "0302987098693848": 142, "0303654670715332": 142, "0300037860870361": 142, "0296401977539062": 142, "02927827835083": 142, "0289127826690674": 142, "0285475254058838": 142, "0281810760498047": 142, "0278160572052002": 142, "027449369430542": 142, "027082920074463": 142, "0267152786254883": 142, "0264852046966553": 142, "0261170864105225": 142, "0257470607757568": 142, "0253794193267822": 142, "0250098705291748": 142, "0246427059173584": 142, "0242750644683838": 142, "0239083766937256": 142, "023540735244751": 142, "0231728553771973": 142, "0228068828582764": 142, "0221550464630127": 142, "021789789199829": 142, "021425724029541": 142, "0210604667663574": 142, "0206971168518066": 142, "0203347206115723": 142, "0199730396270752": 142, "0196130275726318": 142, "019254446029663": 142, "0188965797424316": 142, "0185413360595703": 142, "0181875228881836": 142, "0178356170654297": 142, "0026488446164876223": 142, "0033544148318469524": 142, "0006386807654052973": 142, "0008630004595033824": 142, "0023377665784209967": 142, "0025780503638088703": 142, "0033602409530431032": 142, "005758821032941341": 142, "00137141824234277": 142, "006501275580376387": 142, "011241713538765907": 142, "004312201868742704": 142, "005743825808167458": 142, "0005929092294536531": 142, "001715113059617579": 142, "0010811302345246077": 142, "0034657164942473173": 142, "0037713705096393824": 142, "0030082305893301964": 142, "007964497432112694": 142, "0014132540673017502": 142, "0021516054403036833": 142, "013677025213837624": 142, "02239334024488926": 142, "00025092423311434686": 142, "0032727450598031282": 142, "00020778355246875435": 142, "039231278002262115": 142, "053524844348430634": 142, "003913803957402706": 142, "006913330405950546": 142, "06390762329101562": 142, "001435992424376309": 142, "409842848777771": 142, "4182629585266113": 142, "041507720947266": 142, "00023104494903236628": 142, "879865646362305": 142, "050880432128906": 142, "4020881652832031": 142, "321657180786133": 142, "06868553161621": 142, "250443458557129": 142, "4114739894866943": 142, "037702560424805": 142, "835960865020752": 142, "887932777404785": 142, "14910888671875": 142, "4131613969802856": 142, "3293633460998535": 142, "054454803466797": 142, "064363956451416": 142, "4321911334991455": 142, "062742233276367": 142, "682317733764648": 142, "880654811859131": 142, "03798484802246": 142, "248237133026123": 142, "3356242179870605": 142, "05089569091797": 142, "1128740310668945": 142, "617715358734131": 142, "117990493774414": 142, "571639060974121": 142, "419901371002197": 142, "446022033691406": 142, "0231196880340576": 142, "3671722412109375": 142, "361046552658081": 142, "3538281917572021": 142, "3473327159881592": 142, "3405158519744873": 142, "333801031112671": 142, "3274705410003662": 142, "3212833404541016": 142, "3152270317077637": 142, "3093767166137695": 142, "3033638000488281": 142, "297837495803833": 142, "2925455570220947": 142, "2874972820281982": 142, "2826502323150635": 142, "2784080505371094": 142, "2736051082611084": 142, "269380807876587": 142, "2653532028198242": 142, "261509656906128": 142, "2578413486480713": 142, "254340648651123": 142, "2510011196136475": 142, "2478137016296387": 142, "2447717189788818": 142, "2418673038482666": 142, "23909330368042": 142, "2364420890808105": 142, "2339527606964111": 142, "2315268516540527": 142, "229203701019287": 142, "2269794940948486": 142, "2248461246490479": 142, "2227997779846191": 142, "2208342552185059": 142, "2189466953277588": 142, "2171313762664795": 142, "2153832912445068": 142, "213697910308838": 142, "2120726108551025": 142, "2105028629302979": 142, "2089853286743164": 142, "207331895828247": 142, "2059085369110107": 142, "2045283317565918": 142, "2032439708709717": 142, "2019429206848145": 142, "200676441192627": 142, "1994445323944092": 142, "1984152793884277": 142, "197242259979248": 142, "196096420288086": 142, "1949760913848877": 142, "1938791275024414": 142, "1928040981292725": 142, "191739797592163": 142, "1907062530517578": 142, "1896896362304688": 142, "1877052783966064": 142, "1867341995239258": 142, "1857764720916748": 142, "184830665588379": 142, "1838963031768799": 142, "1831178665161133": 142, "1822054386138916": 142, "181302785873413": 142, "1804084777832031": 142, "1795234680175781": 142, "1786458492279053": 142, "1777763366699219": 142, "1769146919250488": 142, "1760594844818115": 142, "1752128601074219": 142, "174419641494751": 142, "1735854148864746": 142, "1727573871612549": 142, "1719348430633545": 142, "1711173057556152": 142, "1703054904937744": 142, "1694977283477783": 142, "1686944961547852": 142, "1678948402404785": 142, "1670985221862793": 142, "1663053035736084": 142, "164827823638916": 142, "164039134979248": 142, "163254737854004": 142, "1624705791473389": 142, "1616861820220947": 142, "160902738571167": 142, "1601181030273438": 142, "1593337059020996": 142, "15854811668396": 142, "1577613353729248": 142, "1563341617584229": 142, "1554934978485107": 142, "1554665565490723": 142, "1546688079833984": 142, "153698444366455": 142, "1529018878936768": 142, "152104139328003": 142, "151305913925171": 142, "150505542755127": 142, "1497068405151367": 142, "1489057540893555": 142, "1481051445007324": 142, "1473045349121094": 142, "1465046405792236": 142, "145704746246338": 142, "1448791027069092": 142, "1441373825073242": 142, "1433403491973877": 142, "1425447463989258": 142, "1417500972747803": 142, "1409575939178467": 142, "140167236328125": 142, "1393780708312988": 142, "1385045051574707": 142, "1377198696136475": 142, "136937141418457": 142, "1361579895019531": 142, "1353795528411865": 142, "134488582611084": 142, "133716106414795": 142, "1329452991485596": 142, "1321766376495361": 142, "1314113140106201": 142, "1306474208831787": 142, "1298871040344238": 142, "1289832592010498": 142, "1282241344451904": 142, "1274681091308594": 142, "1266684532165527": 142, "1262450218200684": 142, "1254944801330566": 142, "1247470378875732": 142, "123999834060669": 142, "1232528686523438": 142, "1225082874298096": 142, "1217632293701172": 142, "1210203170776367": 142, "1202771663665771": 142, "1195340156555176": 142, "118790864944458": 142, "118048906326294": 142, "1173064708709717": 142, "1165642738342285": 142, "115821361541748": 142, "1150777339935303": 142, "1140024662017822": 142, "1137726306915283": 142, "1130213737487793": 142, "1122689247131348": 142, "111515998840332": 142, "1107614040374756": 142, "111532211303711": 142, "1107583045959473": 142, "1099867820739746": 142, "1092157363891602": 142, "108442783355713": 142, "107008457183838": 142, "1062331199645996": 142, "1052935123443604": 142, "1045193672180176": 142, "103745698928833": 142, "102973222732544": 142, "1022002696990967": 142, "1014292240142822": 142, "100661039352417": 142, "0998928546905518": 142, "0991265773773193": 142, "0983631610870361": 142, "0976004600524902": 142, "0968408584594727": 142, "096083164215088": 142, "0953278541564941": 142, "094576120376587": 142, "093824863433838": 142, "0930769443511963": 142, "0923304557800293": 142, "0918083190917969": 142, "0910732746124268": 142, "0903384685516357": 142, "0896074771881104": 142, "0888774394989014": 142, "0881497859954834": 142, "087503433227539": 142, "0867767333984375": 142, "0860519409179688": 142, "085329532623291": 142, "0846080780029297": 142, "0838890075683594": 142, "083172082901001": 142, "0824575424194336": 142, "0817434787750244": 142, "0810317993164062": 142, "0803217887878418": 142, "079615592956543": 142, "0789105892181396": 142, "078209400177002": 142, "0775117874145508": 142, "0768165588378906": 142, "0761263370513916": 142, "0754382610321045": 142, "074754238128662": 142, "0740761756896973": 142, "0734012126922607": 142, "0727312564849854": 142, "072066068649292": 142, "071406364440918": 142, "0707502365112305": 142, "0701005458831787": 142, "069455623626709": 142, "0688164234161377": 142, "0681803226470947": 142, "0675513744354248": 142, "0669262409210205": 142, "0663061141967773": 142, "0656914710998535": 142, "0650811195373535": 142, "0644745826721191": 142, "0638718605041504": 142, "0632727146148682": 142, "0626780986785889": 142, "0620863437652588": 142, "061497688293457": 142, "060912847518921": 142, "060331106185913": 142, "0597517490386963": 142, "0591742992401123": 142, "058600902557373": 142, "0580291748046875": 142, "0574593544006348": 142, "0568912029266357": 142, "0563263893127441": 142, "055762529373169": 142, "0552008152008057": 142, "0546393394470215": 142, "0540804862976074": 142, "0532622337341309": 142, "0527057647705078": 142, "0521509647369385": 142, "0515961647033691": 142, "051041603088379": 142, "050490140914917": 142, "0499391555786133": 142, "049389362335205": 142, "0488409996032715": 142, "0482945442199707": 142, "0477502346038818": 142, "0472073554992676": 142, "0466670989990234": 142, "0461275577545166": 142, "0455925464630127": 142, "0450584888458252": 142, "0440006256103516": 142, "043475866317749": 142, "0410020351409912": 142, "0407443046569824": 142, "040231704711914": 142, "0397212505340576": 142, "0392119884490967": 142, "0387053489685059": 142, "0382018089294434": 142, "0377027988433838": 142, "0372076034545898": 142, "0367169380187988": 142, "036231517791748": 142, "0358483791351318": 142, "0351974964141846": 142, "0347297191619873": 142, "0342662334442139": 142, "0338282585144043": 142, "033372402191162": 142, "0329205989837646": 142, "0324735641479492": 142, "0320324897766113": 142, "0315966606140137": 142, "031165361404419": 142, "0307393074035645": 142, "0303189754486084": 142, "0299043655395508": 142, "0295734405517578": 142, "0291690826416016": 142, "0286905765533447": 142, "0282988548278809": 142, "0279109477996826": 142, "0272741317749023": 142, "0268959999084473": 142, "0265228748321533": 142, "0261549949645996": 142, "025791883468628": 142, "0254337787628174": 142, "025080919265747": 142, "0247325897216797": 142, "0238800048828125": 142, "0235254764556885": 142, "002882519504055381": 142, "000709310348611325": 142, "741968147456646e": 142, "005874543450772762": 142, "004115949850529432": 142, "0008147392072714865": 142, "0005242471816018224": 142, "004506187047809362": 142, "0007912061992101371": 142, "004158949013799429": 142, "010650009848177433": 142, "0026110124308615923": 142, "01146793458610773": 142, "0007872190908528864": 142, "0017045902786776423": 142, "002034785458818078": 142, "007482384331524372": 142, "0015302641550078988": 142, "0011179569410160184": 142, "003023823956027627": 142, "0030431412160396576": 142, "0029729045927524567": 142, "006302275694906712": 142, "004564354196190834": 142, "0010859661269932985": 142, "005804808810353279": 142, "001546973828226328": 142, "10332541912794113": 142, "07532522082328796": 142, "0023815392050892115": 142, "01747613586485386": 142, "010196138173341751": 142, "00016298709670081735": 142, "4596741199493408": 142, "628612518310547": 142, "096649169921875": 142, "013547072187066078": 142, "109078884124756": 142, "028697967529297": 142, "395027995109558": 142, "473274230957031": 142, "0659236907959": 142, "252925872802734": 142, "585759401321411": 142, "056272506713867": 142, "842639923095703": 142, "0417399406433105": 142, "4245185852050781": 142, "476876735687256": 142, "06880760192871": 142, "046574115753174": 142, "6397793292999268": 142, "11351776123047": 142, "646197319030762": 142, "043934345245361": 142, "075096130371094": 142, "239852428436279": 142, "409865379333496": 142, "015207290649414": 142, "05306154489517212": 142, "560699701309204": 142, "769073486328125": 142, "1008700504899025": 142, "463005304336548": 142, "163105010986328": 142, "092827320098877": 142, "311086654663086": 142, "301612138748169": 142, "2930035591125488": 142, "2847833633422852": 142, "2768175601959229": 142, "2690677642822266": 142, "261509895324707": 142, "2544848918914795": 142, "2472763061523438": 142, "2403788566589355": 142, "2335021495819092": 142, "2267048358917236": 142, "2201390266418457": 142, "2138004302978516": 142, "2077133655548096": 142, "2019588947296143": 142, "1964707374572754": 142, "1918182373046875": 142, "1867313385009766": 142, "1820805072784424": 142, "1775410175323486": 142, "1732134819030762": 142, "1690881252288818": 142, "165140151977539": 142, "1613988876342773": 142, "1578409671783447": 142, "1545562744140625": 142, "1513879299163818": 142, "1483464241027832": 142, "1455814838409424": 142, "1427092552185059": 142, "1401357650756836": 142, "1377038955688477": 142, "1354758739471436": 142, "1333143711090088": 142, "1314268112182617": 142, "1295151710510254": 142, "1277203559875488": 142, "1259498596191406": 142, "1241004467010498": 142, "1226274967193604": 142, "1212542057037354": 142, "119974136352539": 142, "1187851428985596": 142, "1176824569702148": 142, "1166596412658691": 142, "1157126426696777": 142, "1148457527160645": 142, "1140356063842773": 142, "1132864952087402": 142, "1125969886779785": 142, "1119616031646729": 142, "111375093460083": 142, "110884666442871": 142, "1103806495666504": 142, "109912395477295": 142, "1094775199890137": 142, "10906982421875": 142, "1086177825927734": 142, "108257532119751": 142, "107861042022705": 142, "1075327396392822": 142, "1072165966033936": 142, "1069107055664062": 142, "1066148281097412": 142, "1063270568847656": 142, "1060466766357422": 142, "105771541595459": 142, "1053922176361084": 142, "1051325798034668": 142, "104879379272461": 142, "1044855117797852": 142, "1042487621307373": 142, "103883981704712": 142, "1036365032196045": 142, "103430986404419": 142, "1032371520996094": 142, "1030545234680176": 142, "1028850078582764": 142, "1027274131774902": 142, "10258150100708": 142, "102447509765625": 142, "1023247241973877": 142, "1022136211395264": 142, "101597547531128": 142, "101161241531372": 142, "1010732650756836": 142, "1009938716888428": 142, "1010360717773438": 142, "1009790897369385": 142, "1008405685424805": 142, "100795030593872": 142, "100754737854004": 142, "1007192134857178": 142, "1006879806518555": 142, "1006615161895752": 142, "1006383895874023": 142, "1006183624267578": 142, "100600242614746": 142, "1003611087799072": 142, "1003460884094238": 142, "1003336906433105": 142, "1003241539001465": 142, "1003179550170898": 142, "1003155708312988": 142, "1003162860870361": 142, "1003186702728271": 142, "1003236770629883": 142, "100330114364624": 142, "100339412689209": 142, "1002545356750488": 142, "1002507209777832": 142, "100266695022583": 142, "100348711013794": 142, "1003682613372803": 142, "100039005279541": 142, "100057601928711": 142, "1000778675079346": 142, "1000983715057373": 142, "1001200675964355": 142, "1001410484313965": 142, "1001629829406738": 142, "100184440612793": 142, "1002051830291748": 142, "1002252101898193": 142, "1002445220947266": 142, "100261926651001": 142, "1002788543701172": 142, "1002931594848633": 142, "1003038883209229": 142, "1003131866455078": 142, "1002752780914307": 142, "1002764701843262": 142, "1002748012542725": 142, "100269079208374": 142, "10025954246521": 142, "1002471446990967": 142, "100231647491455": 142, "100212574005127": 142, "1001887321472168": 142, "099961757659912": 142, "0999398231506348": 142, "0999090671539307": 142, "099874496459961": 142, "0998344421386719": 142, "0997891426086426": 142, "0995326042175293": 142, "0994799137115479": 142, "0994203090667725": 142, "099355936050415": 142, "0992867946624756": 142, "0992581844329834": 142, "099179744720459": 142, "099097490310669": 142, "0990092754364014": 142, "0988163948059082": 142, "0987071990966797": 142, "098592758178711": 142, "0984725952148438": 142, "0983469486236572": 142, "0982162952423096": 142, "098081111907959": 142, "0979409217834473": 142, "0977964401245117": 142, "0974657535552979": 142, "097306489944458": 142, "0969903469085693": 142, "0967881679534912": 142, "0966098308563232": 142, "0964248180389404": 142, "0962369441986084": 142, "0960438251495361": 142, "095846176147461": 142, "0960204601287842": 142, "0958137512207031": 142, "0956013202667236": 142, "0953834056854248": 142, "0953001976013184": 142, "0949089527130127": 142, "0945968627929688": 142, "0943610668182373": 142, "0941202640533447": 142, "0938758850097656": 142, "0935144424438477": 142, "0932626724243164": 142, "0930068492889404": 142, "0927462577819824": 142, "092482566833496": 142, "0922152996063232": 142, "0919439792633057": 142, "0916688442230225": 142, "0913901329040527": 142, "0913348197937012": 142, "0910451412200928": 142, "0907533168792725": 142, "0904569625854492": 142, "0901598930358887": 142, "0900070667266846": 142, "0895884037017822": 142, "0892865657806396": 142, "0889828205108643": 142, "0886788368225098": 142, "0883731842041016": 142, "088066816329956": 142, "0877585411071777": 142, "0874505043029785": 142, "0871407985687256": 142, "0868308544158936": 142, "086083173751831": 142, "085775375366211": 142, "0854687690734863": 142, "0851621627807617": 142, "084855556488037": 142, "0845496654510498": 142, "0841362476348877": 142, "0838305950164795": 142, "0835258960723877": 142, "0832228660583496": 142, "0829200744628906": 142, "0826191902160645": 142, "082319974899292": 142, "082021951675415": 142, "0817275047302246": 142, "0814354419708252": 142, "0811450481414795": 142, "0808587074279785": 142, "0805749893188477": 142, "0802958011627197": 142, "0800201892852783": 142, "0797488689422607": 142, "079209566116333": 142, "0791339874267578": 142, "0788862705230713": 142, "0786442756652832": 142, "0784101486206055": 142, "0781848430633545": 142, "0779674053192139": 142, "0777599811553955": 142, "077483892440796": 142, "077155351638794": 142, "076977014541626": 142, "076810598373413": 142, "0766565799713135": 142, "0765156745910645": 142, "0763890743255615": 142, "0762763023376465": 142, "076178789138794": 142, "0760958194732666": 142, "0760281085968018": 142, "076002836227417": 142, "076023817062378": 142, "076005220413208": 142, "0759727954864502": 142, "0759859085083008": 142, "076014518737793": 142, "0760598182678223": 142, "0761206150054932": 142, "0764579772949219": 142, "0765516757965088": 142, "076660394668579": 142, "0768852233886719": 142, "0770223140716553": 142, "0771760940551758": 142, "0775821208953857": 142, "0777640342712402": 142, "077960729598999": 142, "0781724452972412": 142, "0783989429473877": 142, "0786397457122803": 142, "078895092010498": 142, "0791642665863037": 142, "0794477462768555": 142, "0797464847564697": 142, "0800583362579346": 142, "080385446548462": 142, "0807263851165771": 142, "0810821056365967": 142, "0817182064056396": 142, "0820999145507812": 142, "0824949741363525": 142, "0829048156738281": 142, "0830004215240479": 142, "0834431648254395": 142, "0839009284973145": 142, "0843729972839355": 142, "0849413871765137": 142, "085442066192627": 142, "0860724449157715": 142, "0866026878356934": 142, "087148904800415": 142, "0880274772644043": 142, "0885334014892578": 142, "0891218185424805": 142, "0897250175476074": 142, "0907204151153564": 142, "0913467407226562": 142, "091984510421753": 142, "018413448706269264": 142, "011863382533192635": 142, "02233399823307991": 142, "006787148769944906": 142, "00486324168741703": 142, "0010693279327824712": 142, "009496425278484821": 142, "012485543265938759": 142, "009854991920292377": 142, "012725777924060822": 142, "017677243798971176": 142, "00859511736780405": 142, "006728237494826317": 142, "01504103746265173": 142, "029975738376379013": 142, "00012546766083687544": 142, "014552373439073563": 142, "006345122586935759": 142, "04189906269311905": 142, "011083628050982952": 142, "008173900656402111": 142, "001323340111412108": 142, "017734665423631668": 142, "029982728883624077": 142, "0010798267321661115": 142, "05989820510149002": 142, "019324440509080887": 142, "02449299395084381": 142, "08803339302539825": 142, "0483044870197773": 142, "07355198264122009": 142, "07229390740394592": 142, "062168486416339874": 142, "507343053817749": 142, "3605122566223145": 142, "096559524536133": 142, "013618171215057373": 142, "896828651428223": 142, "00833511352539": 142, "3223824501037598": 142, "289071559906006": 142, "077388763427734": 142, "381603240966797": 142, "367354393005371": 142, "01633071899414": 142, "9943556785583496": 142, "864834308624268": 142, "068889617919922": 142, "4986807107925415": 142, "287306785583496": 142, "06699562072754": 142, "138003349304199": 142, "410966157913208": 142, "06865882873535": 142, "750567436218262": 142, "85800838470459": 142, "080434799194336": 142, "316221714019775": 142, "305749416351318": 142, "057024002075195": 142, "2402331829071045": 142, "656773328781128": 142, "70599365234375": 142, "4824323654174805": 142, "14522647857666": 142, "09787940979004": 142, "0630340576171875": 142, "600996494293213": 142, "5930285453796387": 142, "5852351188659668": 142, "5770552158355713": 142, "5691449642181396": 142, "5616400241851807": 142, "5542848110198975": 142, "5471765995025635": 142, "5402870178222656": 142, "5335943698883057": 142, "527054786682129": 142, "5206077098846436": 142, "5144116878509521": 142, "5083553791046143": 142, "5024263858795166": 142, "4966151714324951": 142, "490915060043335": 142, "4852714538574219": 142, "4799203872680664": 142, "474536657333374": 142, "469214916229248": 142, "4639785289764404": 142, "4585318565368652": 142, "4534523487091064": 142, "4484477043151855": 142, "4435107707977295": 142, "438642978668213": 142, "43373441696167": 142, "4289984703063965": 142, "4243245124816895": 142, "4198639392852783": 142, "4153189659118652": 142, "4108290672302246": 142, "4064514636993408": 142, "4020817279815674": 142, "3978562355041504": 142, "3935797214508057": 142, "3893542289733887": 142, "3851783275604248": 142, "3810536861419678": 142, "3769776821136475": 142, "3728585243225098": 142, "3688831329345703": 142, "3647425174713135": 142, "3608672618865967": 142, "357039451599121": 142, "3532557487487793": 142, "3495302200317383": 142, "3458540439605713": 142, "3422267436981201": 142, "3386499881744385": 142, "3351225852966309": 142, "3320541381835938": 142, "3286268711090088": 142, "325249433517456": 142, "3219223022460938": 142, "3186452388763428": 142, "31569504737854": 142, "3125154972076416": 142, "3091228008270264": 142, "3060448169708252": 142, "3030149936676025": 142, "3000335693359375": 142, "297098159790039": 142, "2941670417785645": 142, "291325569152832": 142, "288527488708496": 142, "285773754119873": 142, "2830619812011719": 142, "2803895473480225": 142, "277756929397583": 142, "2751617431640625": 142, "272603988647461": 142, "269913911819458": 142, "2674305438995361": 142, "264981746673584": 142, "262566328048706": 142, "2601838111877441": 142, "25783371925354": 142, "2555134296417236": 142, "253225326538086": 142, "250967025756836": 142, "2487387657165527": 142, "2465417385101318": 142, "2443716526031494": 142, "2422306537628174": 142, "240119457244873": 142, "238034725189209": 142, "2359776496887207": 142, "233842134475708": 142, "2318367958068848": 142, "2298579216003418": 142, "2279057502746582": 142, "2259790897369385": 142, "2240793704986572": 142, "2222044467926025": 142, "2203540802001953": 142, "2185285091400146": 142, "2167274951934814": 142, "2149503231048584": 142, "2131969928741455": 142, "2117669582366943": 142, "210059404373169": 142, "2083690166473389": 142, "206780195236206": 142, "2051353454589844": 142, "2035109996795654": 142, "2020044326782227": 142, "2004199028015137": 142, "198854684829712": 142, "1973092555999756": 142, "1957814693450928": 142, "194272518157959": 142, "1927804946899414": 142, "1913049221038818": 142, "1898465156555176": 142, "1884045600891113": 142, "1868867874145508": 142, "1854736804962158": 142, "1840755939483643": 142, "182692527770996": 142, "1813230514526367": 142, "1799676418304443": 142, "1786260604858398": 142, "1772987842559814": 142, "1759834289550781": 142, "1746833324432373": 142, "1733942031860352": 142, "1720430850982666": 142, "1707792282104492": 142, "1695284843444824": 142, "1682381629943848": 142, "166764497756958": 142, "1654250621795654": 142, "1642210483551025": 142, "1624722480773926": 142, "1612915992736816": 142, "1601228713989258": 142, "1589643955230713": 142, "15781831741333": 142, "1566832065582275": 142, "1555585861206055": 142, "1544451713562012": 142, "1531195640563965": 142, "1521515846252441": 142, "1510686874389648": 142, "1499943733215332": 142, "1489310264587402": 142, "1483020782470703": 142, "1472585201263428": 142, "146224021911621": 142, "145200490951538": 142, "1441214084625244": 142, "1431174278259277": 142, "1421244144439697": 142, "1411776542663574": 142, "1402041912078857": 142, "1392390727996826": 142, "1382856369018555": 142, "1373417377471924": 142, "1364076137542725": 142, "135483980178833": 142, "1345696449279785": 142, "1336638927459717": 142, "132768154144287": 142, "1318814754486084": 142, "1310038566589355": 142, "1301331520080566": 142, "1292719841003418": 142, "1284193992614746": 142, "1275744438171387": 142, "1267364025115967": 142, "1259074211120605": 142, "1248564720153809": 142, "1237750053405762": 142, "122673749923706": 142, "121877670288086": 142, "121089220046997": 142, "1203069686889648": 142, "1195309162139893": 142, "118762731552124": 142, "1180012226104736": 142, "1171331405639648": 142, "116386890411377": 142, "115647554397583": 142, "1149156093597412": 142, "1141939163208008": 142, "113105058670044": 142, "1124727725982666": 142, "1117761135101318": 142, "1110904216766357": 142, "1103758811950684": 142, "1097092628479004": 142, "1089930534362793": 142, "1081442832946777": 142, "107511281967163": 142, "1068902015686035": 142, "1062829494476318": 142, "105605125427246": 142, "105149507522583": 142, "1045794486999512": 142, "1029081344604492": 142, "10231351852417": 142, "1016120910644531": 142, "101090669631958": 142, "1005804538726807": 142, "099958896636963": 142, "099470615386963": 142, "0989904403686523": 142, "0990490913391113": 142, "0985894203186035": 142, "0981342792510986": 142, "0976848602294922": 142, "0972402095794678": 142, "0967979431152344": 142, "096566915512085": 142, "0961291790008545": 142, "0956928730010986": 142, "0952608585357666": 142, "0942909717559814": 142, "093860387802124": 142, "0934298038482666": 142, "093003511428833": 142, "0925767421722412": 142, "0921518802642822": 142, "0917284488677979": 142, "0912859439849854": 142, "09086275100708": 142, "0904409885406494": 142, "090019702911377": 142, "0895979404449463": 142, "0891785621643066": 142, "088758945465088": 142, "088341474533081": 142, "0878396034240723": 142, "087386131286621": 142, "0868396759033203": 142, "0864231586456299": 142, "0860075950622559": 142, "0855927467346191": 142, "0851781368255615": 142, "084707498550415": 142, "0842947959899902": 142, "083881139755249": 142, "083467721939087": 142, "083258867263794": 142, "0828444957733154": 142, "082430362701416": 142, "0820157527923584": 142, "0814743041992188": 142, "0810611248016357": 142, "080648422241211": 142, "0802350044250488": 142, "0797371864318848": 142, "0793254375457764": 142, "0805294513702393": 142, "0801138877868652": 142, "0796966552734375": 142, "0792794227600098": 142, "0788629055023193": 142, "0784459114074707": 142, "0780305862426758": 142, "0766701698303223": 142, "0762608051300049": 142, "0758485794067383": 142, "0754375457763672": 142, "0750257968902588": 142, "074615716934204": 142, "0744240283966064": 142, "07401442527771": 142, "0736079216003418": 142, "073152780532837": 142, "0727458000183105": 142, "0723390579223633": 142, "0724318027496338": 142, "0720252990722656": 142, "0716207027435303": 142, "071218729019165": 142, "0708308219909668": 142, "070239782333374": 142, "0698904991149902": 142, "069500207901001": 142, "0691120624542236": 142, "0687270164489746": 142, "0679435729980469": 142, "0678040981292725": 142, "0675041675567627": 142, "0671334266662598": 142, "066765546798706": 142, "0664963722229004": 142, "0661380290985107": 142, "065783977508545": 142, "0654349327087402": 142, "064955234527588": 142, "0646190643310547": 142, "0642881393432617": 142, "0639634132385254": 142, "0636451244354248": 142, "063335657119751": 142, "014957995153963566": 142, "019902348518371582": 142, "0016826888313516974": 142, "018876969814300537": 142, "0011455308413133025": 142, "006103375926613808": 142, "001179341459646821": 142, "007548763882368803": 142, "007029637694358826": 142, "0010259418049827218": 142, "0005883200792595744": 142, "007232810836285353": 142, "03601152077317238": 142, "0058119334280490875": 142, "0439593568444252": 142, "002993196016177535": 142, "009596152231097221": 142, "004631711635738611": 142, "001964596565812826": 142, "007165330462157726": 142, "004118379671126604": 142, "009231284260749817": 142, "005658335518091917": 142, "0006750525208190084": 142, "0007821976323612034": 142, "009835300035774708": 142, "0058094714768230915": 142, "002236176049336791": 142, "013784268870949745": 142, "05220266059041023": 142, "07790401577949524": 142, "015420214273035526": 142, "014333211816847324": 142, "3901809453964233": 142, "4617748260498047": 142, "061731338500977": 142, "00313581177033484": 142, "937078952789307": 142, "101282119750977": 142, "4289369583129883": 142, "39936637878418": 142, "03330421447754": 142, "2071757316589355": 142, "4536285400390625": 142, "053773880004883": 142, "785855770111084": 142, "902868747711182": 142, "06119155883789": 142, "3877898454666138": 142, "347818851470947": 142, "088197708129883": 142, "0371503829956055": 142, "3621301651000977": 142, "994651794433594": 142, "5583391189575195": 142, "95748233795166": 142, "084741592407227": 142, "203273296356201": 142, "356385231018066": 142, "085237503051758": 142, "6082446575164795": 142, "602663040161133": 142, "731639862060547": 142, "6430705785751343": 142, "381165504455566": 142, "32718276977539": 142, "128176212310791": 142, "6874761581420898": 142, "671640396118164": 142, "660236120223999": 142, "649296522140503": 142, "6386933326721191": 142, "6283609867095947": 142, "6187536716461182": 142, "6097278594970703": 142, "601250171661377": 142, "593235969543457": 142, "5856218338012695": 142, "5783507823944092": 142, "5713815689086914": 142, "5649049282073975": 142, "5584361553192139": 142, "5521776676177979": 142, "546112060546875": 142, "5402185916900635": 142, "5344865322113037": 142, "528975486755371": 142, "5235233306884766": 142, "5182011127471924": 142, "5129973888397217": 142, "507906198501587": 142, "5029215812683105": 142, "4980366230010986": 142, "4932456016540527": 142, "488544225692749": 142, "4839270114898682": 142, "4793915748596191": 142, "4749324321746826": 142, "470546007156372": 142, "466230869293213": 142, "4619834423065186": 142, "4578008651733398": 142, "4493939876556396": 142, "4453942775726318": 142, "4414525032043457": 142, "4375669956207275": 142, "4337341785430908": 142, "4299554824829102": 142, "4262278079986572": 142, "4225521087646484": 142, "4189257621765137": 142, "4153492450714111": 142, "4118220806121826": 142, "4085252285003662": 142, "4050931930541992": 142, "4017102718353271": 142, "3983733654022217": 142, "3950834274291992": 142, "3918416500091553": 142, "3886463642120361": 142, "3856008052825928": 142, "3824968338012695": 142, "379439353942871": 142, "3764293193817139": 142, "3734652996063232": 142, "370546579360962": 142, "3676729202270508": 142, "3648431301116943": 142, "3620562553405762": 142, "3594110012054443": 142, "3565514087677002": 142, "3538854122161865": 142, "3512580394744873": 142, "3486673831939697": 142, "3461122512817383": 142, "3435914516448975": 142, "3411026000976562": 142, "338646411895752": 142, "3362205028533936": 142, "3338241577148438": 142, "3314573764801025": 142, "329118251800537": 142, "3263843059539795": 142, "3240976333618164": 142, "3218398094177246": 142, "319608211517334": 142, "3174035549163818": 142, "3152251243591309": 142, "313072681427002": 142, "3109462261199951": 142, "308844804763794": 142, "3067684173583984": 142, "3047187328338623": 142, "3026940822601318": 142, "3006932735443115": 142, "2985641956329346": 142, "296614170074463": 142, "2942979335784912": 142, "2923924922943115": 142, "290355920791626": 142, "288496971130371": 142, "2866616249084473": 142, "2848484516143799": 142, "2830579280853271": 142, "2812895774841309": 142, "2795436382293701": 142, "277820110321045": 142, "2761178016662598": 142, "2744371891021729": 142, "2727782726287842": 142, "2711398601531982": 142, "2695229053497314": 142, "267925500869751": 142, "2663490772247314": 142, "2647926807403564": 142, "263277530670166": 142, "2617592811584473": 142, "2602603435516357": 142, "2587809562683105": 142, "257319688796997": 142, "2558772563934326": 142, "254453420639038": 142, "253046989440918": 142, "2516591548919678": 142, "250288963317871": 142, "248936653137207": 142, "247600793838501": 142, "2462825775146484": 142, "244981288909912": 142, "2436959743499756": 142, "242427110671997": 142, "2411754131317139": 142, "239938735961914": 142, "2386770248413086": 142, "2374725341796875": 142, "2362825870513916": 142, "235107660293579": 142, "2338473796844482": 142, "2327044010162354": 142, "2315750122070312": 142, "2306079864501953": 142, "2295067310333252": 142, "2284190654754639": 142, "2273454666137695": 142, "2262847423553467": 142, "225236177444458": 142, "224200963973999": 142, "2231776714324951": 142, "2221665382385254": 142, "221167802810669": 142, "2201802730560303": 142, "2192046642303467": 142, "2182402610778809": 142, "217287302017212": 142, "2163591384887695": 142, "2154278755187988": 142, "214508295059204": 142, "2137672901153564": 142, "2127373218536377": 142, "2118480205535889": 142, "210968255996704": 142, "2100985050201416": 142, "2092382907867432": 142, "2083864212036133": 142, "2075450420379639": 142, "206712007522583": 142, "205887794494629": 142, "2050726413726807": 142, "2042655944824219": 142, "2034668922424316": 142, "20267653465271": 142, "2018935680389404": 142, "2011182308197021": 142, "2003505229949951": 142, "1995904445648193": 142, "1988372802734375": 142, "1980907917022705": 142, "1973507404327393": 142, "1966173648834229": 142, "1958909034729004": 142, "19516921043396": 142, "1944539546966553": 142, "1937255859375": 142, "1930201053619385": 142, "1923198699951172": 142, "19154953956604": 142, "1906750202178955": 142, "1898846626281738": 142, "1892073154449463": 142, "1885340213775635": 142, "1878652572631836": 142, "1872012615203857": 142, "1865408420562744": 142, "1858854293823242": 142, "1852343082427979": 142, "184586524963379": 142, "183943748474121": 142, "1833035945892334": 142, "1826679706573486": 142, "1819698810577393": 142, "1813406944274902": 142, "1804695129394531": 142, "179847240447998": 142, "1792283058166504": 142, "178612470626831": 142, "1780002117156982": 142, "1773900985717773": 142, "1767833232879639": 142, "176180124282837": 142, "1755788326263428": 142, "1749804019927979": 142, "1743841171264648": 142, "1737902164459229": 142, "1733498573303223": 142, "1729583740234375": 142, "1726479530334473": 142, "1720561981201172": 142, "1714673042297363": 142, "1708791255950928": 142, "1702930927276611": 142, "1697092056274414": 142, "1691267490386963": 142, "168546199798584": 142, "1679677963256836": 142, "167391061782837": 142, "1668164730072021": 142, "166243314743042": 142, "1656713485717773": 142, "164954423904419": 142, "164388656616211": 142, "1638243198394775": 142, "1632623672485352": 142, "1627025604248047": 142, "1621451377868652": 142, "1615891456604004": 142, "161036491394043": 142, "1604905128479004": 142, "159942388534546": 142, "1593964099884033": 142, "1588542461395264": 142, "1583144664764404": 142, "1577770709991455": 142, "1572418212890625": 142, "1567091941833496": 142, "1561801433563232": 142, "155651569366455": 142, "1551265716552734": 142, "1546037197113037": 142, "1540837287902832": 142, "1535658836364746": 142, "1530497074127197": 142, "1525373458862305": 142, "1520264148712158": 142, "1515185832977295": 142, "1510119438171387": 142, "1505086421966553": 142, "1500074863433838": 142, "1500999927520752": 142, "1496024131774902": 142, "1491060256958008": 142, "1486122608184814": 142, "1481201648712158": 142, "1476306915283203": 142, "1471426486968994": 142, "146655797958374": 142, "1461713314056396": 142, "145688533782959": 142, "145207405090332": 142, "144728422164917": 142, "1442506313323975": 142, "1437735557556152": 142, "1432993412017822": 142, "1428260803222656": 142, "1423537731170654": 142, "1417388916015625": 142, "1416690349578857": 142, "141204595565796": 142, "1407403945922852": 142, "1402771472930908": 142, "1398162841796875": 142, "1393558979034424": 142, "1388969421386719": 142, "1384391784667969": 142, "1379826068878174": 142, "1375274658203125": 142, "137073040008545": 142, "136620044708252": 142, "1361677646636963": 142, "1357166767120361": 142, "135267734527588": 142, "1348185539245605": 142, "1343708038330078": 142, "1339232921600342": 142, "133476972579956": 142, "1330323219299316": 142, "1325876712799072": 142, "1321451663970947": 142, "1317033767700195": 142, "1312627792358398": 142, "1308224201202393": 142, "1303837299346924": 142, "1299464702606201": 142, "129509449005127": 142, "1290743350982666": 142, "128607988357544": 142, "00583549402654171": 142, "0021900495048612356": 142, "0021628839895129204": 142, "013846407644450665": 142, "014985060319304466": 142, "0019177901558578014": 142, "0001655744417803362": 142, "017350347712635994": 142, "00508772162720561": 142, "0025577908381819725": 142, "006938486360013485": 142, "0020648501813411713": 142, "0058064209297299385": 142, "00843573734164238": 142, "004153188783675432": 142, "0035574317444115877": 142, "012516248971223831": 142, "009021983481943607": 142, "003643462434411049": 142, "001959901535883546": 142, "003882993245497346": 142, "0033890195190906525": 142, "004026269540190697": 142, "008775983937084675": 142, "0046913460828363895": 142, "012029079720377922": 142, "007280009798705578": 142, "06999580562114716": 142, "05707074701786041": 142, "0020868168212473392": 142, "041476231068372726": 142, "11866691708564758": 142, "0637669488787651": 142, "325657606124878": 142, "409067392349243": 142, "068819046020508": 142, "02128145843744278": 142, "873643398284912": 142, "02440071105957": 142, "4832391738891602": 142, "278948783874512": 142, "066761016845703": 142, "064323425292969": 142, "3451614379882812": 142, "998472213745117": 142, "73421049118042": 142, "854500770568848": 142, "07451057434082": 142, "3394720554351807": 142, "2793731689453125": 142, "076528549194336": 142, "950159549713135": 142, "365750551223755": 142, "111433029174805": 142, "506082534790039": 142, "851832389831543": 142, "098724365234375": 142, "163100242614746": 142, "301348686218262": 142, "055742263793945": 142, "069842338562012": 142, "6069443225860596": 142, "761577606201172": 142, "219133377075195": 142, "1306145191192627": 142, "95309829711914": 142, "1682541370391846": 142, "4557337760925293": 142, "4335215091705322": 142, "4142346382141113": 142, "3969767093658447": 142, "3806536197662354": 142, "3648393154144287": 142, "34932541847229": 142, "333961009979248": 142, "318739175796509": 142, "3038458824157715": 142, "2896690368652344": 142, "2762629985809326": 142, "2634940147399902": 142, "2511110305786133": 142, "2390408515930176": 142, "2277307510375977": 142, "216813087463379": 142, "2062995433807373": 142, "1961350440979004": 142, "1862881183624268": 142, "176739454269409": 142, "1674625873565674": 142, "1585514545440674": 142, "149768352508545": 142, "1418561935424805": 142, "1339895725250244": 142, "125847339630127": 142, "11787748336792": 142, "109642744064331": 142, "101968288421631": 142, "0944650173187256": 142, "0870821475982666": 142, "0795047283172607": 142, "0723650455474854": 142, "0653369426727295": 142, "058412790298462": 142, "051457643508911": 142, "044720411300659": 142, "038074493408203": 142, "031567335128784": 142, "025078296661377": 142, "018636465072632": 142, "012432813644409": 142, "00614070892334": 142, "9999079704284668": 142, "9937314987182617": 142, "987612009048462": 142, "981492519378662": 142, "9752094745635986": 142, "9690380096435547": 142, "9633049964904785": 142, "9574458599090576": 142, "9515480995178223": 142, "9457488059997559": 142, "939986228942871": 142, "9341063499450684": 142, "9284155368804932": 142, "9230074882507324": 142, "9173688888549805": 142, "9117710590362549": 142, "9062061309814453": 142, "9006702899932861": 142, "8952364921569824": 142, "8897559642791748": 142, "8843095302581787": 142, "878894567489624": 142, "8735146522521973": 142, "8681657314300537": 142, "8628499507904053": 142, "8575692176818848": 142, "8523178100585938": 142, "8469421863555908": 142, "841750144958496": 142, "836587905883789": 142, "8314502239227295": 142, "8263356685638428": 142, "8212432861328125": 142, "8161706924438477": 142, "8111095428466797": 142, "8060634136199951": 142, "8010311126708984": 142, "796008586883545": 142, "7909953594207764": 142, "7859911918640137": 142, "7809913158416748": 142, "7759983539581299": 142, "7710111141204834": 142, "7660303115844727": 142, "7610554695129395": 142, "7560844421386719": 142, "7511200904846191": 142, "7461605072021484": 142, "7410082817077637": 142, "73606538772583": 142, "731130838394165": 142, "7262067794799805": 142, "7214312553405762": 142, "7165358066558838": 142, "7117834091186523": 142, "7063941955566406": 142, "7015457153320312": 142, "696716547012329": 142, "691910982131958": 142, "6871287822723389": 142, "682370901107788": 142, "6776387691497803": 142, "6729321479797363": 142, "6682510375976562": 142, "6635961532592773": 142, "6587543487548828": 142, "654151201248169": 142, "6495749950408936": 142, "6450271606445312": 142, "640507698059082": 142, "6360161304473877": 142, "6315479278564453": 142, "6270606517791748": 142, "6226415634155273": 142, "6182496547698975": 142, "613882303237915": 142, "6095397472381592": 142, "6052196025848389": 142, "6009225845336914": 142, "596649169921875": 142, "5923962593078613": 142, "588165283203125": 142, "5839545726776123": 142, "5797650814056396": 142, "575638771057129": 142, "5714938640594482": 142, "5673658847808838": 142, "5632600784301758": 142, "5591905117034912": 142, "5551583766937256": 142, "5508344173431396": 142, "546865463256836": 142, "542931318283081": 142, "5390417575836182": 142, "535170555114746": 142, "5313308238983154": 142, "527522087097168": 142, "523742437362671": 142, "5199928283691406": 142, "5162711143493652": 142, "5125892162322998": 142, "5089242458343506": 142, "5052886009216309": 142, "501680850982666": 142, "4981002807617188": 142, "4945480823516846": 142, "4910228252410889": 142, "4876205921173096": 142, "4841539859771729": 142, "4804577827453613": 142, "477043628692627": 142, "4736568927764893": 142, "470296859741211": 142, "4669642448425293": 142, "4636595249176025": 142, "4603796005249023": 142, "4571278095245361": 142, "4539005756378174": 142, "4507014751434326": 142, "4475278854370117": 142, "4443800449371338": 142, "441258192062378": 142, "4381601810455322": 142, "4350874423980713": 142, "4320399761199951": 142, "4291095733642578": 142, "4257915019989014": 142, "4228150844573975": 142, "4198617935180664": 142, "4169323444366455": 142, "4140253067016602": 142, "4111402034759521": 142, "4082770347595215": 142, "4052772521972656": 142, "4024591445922852": 142, "399660348892212": 142, "3968827724456787": 142, "3942177295684814": 142, "3914766311645508": 142, "388415813446045": 142, "3857192993164062": 142, "3830420970916748": 142, "380385160446167": 142, "3777437210083008": 142, "3751208782196045": 142, "3725152015686035": 142, "3697552680969238": 142, "3671884536743164": 142, "364635705947876": 142, "3620998859405518": 142, "3595795631408691": 142, "3572299480438232": 142, "354738712310791": 142, "3522624969482422": 142, "349801778793335": 142, "347271203994751": 142, "3448412418365479": 142, "3424246311187744": 142, "3400216102600098": 142, "3376331329345703": 142, "3352582454681396": 142, "332897663116455": 142, "3305504322052002": 142, "328216314315796": 142, "3258967399597168": 142, "3235890865325928": 142, "3212954998016357": 142, "319014549255371": 142, "3167462348937988": 142, "3144915103912354": 142, "3122498989105225": 142, "310183048248291": 142, "3079626560211182": 142, "3057584762573242": 142, "3035662174224854": 142, "3013873100280762": 142, "299220085144043": 142, "2970330715179443": 142, "2948901653289795": 142, "2927615642547607": 142, "290644645690918": 142, "2885394096374512": 142, "2863831520080566": 142, "284301996231079": 142, "2822351455688477": 142, "280179738998413": 142, "27813720703125": 142, "2762060165405273": 142, "2741889953613281": 142, "2721970081329346": 142, "270113468170166": 142, "268134355545044": 142, "2661678791046143": 142, "2642505168914795": 142, "2623100280761719": 142, "2603814601898193": 142, "258465051651001": 142, "2565617561340332": 142, "2546710968017578": 142, "252793788909912": 142, "2509286403656006": 142, "249077558517456": 142, "2472028732299805": 142, "245378017425537": 142, "2435660362243652": 142, "2417666912078857": 142, "239980936050415": 142, "2382075786590576": 142, "2363619804382324": 142, "2346153259277344": 142, "2328803539276123": 142, "23115873336792": 142, "22944974899292": 142, "227752923965454": 142, "226069450378418": 142, "2243964672088623": 142, "2227916717529297": 142, "2211430072784424": 142, "2195067405700684": 142, "2178831100463867": 142, "216271162033081": 142, "214839220046997": 142, "2132515907287598": 142, "2116765975952148": 142, "2101123332977295": 142, "2085602283477783": 142, "2070198059082031": 142, "205491542816162": 142, "203974723815918": 142, "2024688720703125": 142, "200974464416504": 142, "1994922161102295": 142, "1982977390289307": 142, "1968357563018799": 142, "1953864097595215": 142, "1939477920532227": 142, "192420482635498": 142, "191004991531372": 142, "1895999908447266": 142, "1882073879241943": 142, "1868247985839844": 142, "1854534149169922": 142, "1840920448303223": 142, "182969331741333": 142, "1816320419311523": 142, "1803054809570312": 142, "1789886951446533": 142, "177682638168335": 142, "176591157913208": 142, "1753032207489014": 142, "1740257740020752": 142, "1727604866027832": 142, "1716444492340088": 142, "1703991889953613": 142, "169478416442871": 142, "026337334886193275": 142, "016771353781223297": 142, "0007824036874808371": 142, "01567170023918152": 142, "006089224014431238": 142, "018951447680592537": 142, "030884280800819397": 142, "005423706956207752": 142, "0014769354602321982": 142, "012565183453261852": 142, "005550510715693235": 142, "03507930785417557": 142, "03557996824383736": 142, "021173670887947083": 142, "011214078404009342": 142, "040333278477191925": 142, "015456171706318855": 142, "005998152308166027": 142, "041002579033374786": 142, "027227740734815598": 142, "0026748902164399624": 142, "045847970992326736": 142, "002919343998655677": 142, "014986547641456127": 142, "03778235614299774": 142, "013334543444216251": 142, "002287407172843814": 142, "20863358676433563": 142, "060622263699769974": 142, "02574026957154274": 142, "23666901886463165": 142, "09624887257814407": 142, "11617326736450195": 142, "381819248199463": 142, "446298122406006": 142, "0576171875": 142, "020840877667069435": 142, "898970603942871": 142, "04987907409668": 142, "445767879486084": 142, "331169605255127": 142, "066377639770508": 142, "165635585784912": 142, "44376802444458": 142, "034168243408203": 142, "7864725589752197": 142, "889041423797607": 142, "072357177734375": 142, "3703311681747437": 142, "311431407928467": 142, "046871185302734": 142, "0040693283081055": 142, "451817512512207": 142, "166255950927734": 142, "593360900878906": 142, "913740158081055": 142, "04328155517578": 142, "200893402099609": 142, "326010704040527": 142, "05207633972168": 142, "7063398361206055": 142, "570389747619629": 142, "145992279052734": 142, "452829837799072": 142, "075469493865967": 142, "530563354492188": 142, "0142743587493896": 142, "3932762145996094": 142, "3871536254882812": 142, "3800055980682373": 142, "3731284141540527": 142, "366476058959961": 142, "3605296611785889": 142, "354154109954834": 142, "348323106765747": 142, "342416763305664": 142, "336653232574463": 142, "3312318325042725": 142, "3259549140930176": 142, "32084321975708": 142, "3159630298614502": 142, "311255931854248": 142, "3070166110992432": 142, "3026123046875": 142, "2983434200286865": 142, "2942006587982178": 142, "290174961090088": 142, "2862603664398193": 142, "2824513912200928": 142, "2788820266723633": 142, "2752649784088135": 142, "271737813949585": 142, "268296241760254": 142, "2650318145751953": 142, "2617499828338623": 142, "2587425708770752": 142, "255605936050415": 142, "252540111541748": 142, "249452829360962": 142, "2465169429779053": 142, "2436442375183105": 142, "240830659866333": 142, "2380757331848145": 142, "2353763580322266": 142, "2327003479003906": 142, "229992151260376": 142, "2276551723480225": 142, "2251663208007812": 142, "2227234840393066": 142, "2203381061553955": 142, "2180116176605225": 142, "2157409191131592": 142, "213524580001831": 142, "2113592624664307": 142, "2092597484588623": 142, "2072279453277588": 142, "2052087783813477": 142, "2032337188720703": 142, "2013006210327148": 142, "1993412971496582": 142, "1969761848449707": 142, "1951634883880615": 142, "1933858394622803": 142, "1916418075561523": 142, "1899328231811523": 142, "1882555484771729": 142, "1866087913513184": 142, "184992790222168": 142, "1834206581115723": 142, "1818616390228271": 142, "1803302764892578": 142, "178826093673706": 142, "1773462295532227": 142, "1758918762207031": 142, "1744599342346191": 142, "173050880432129": 142, "1716632843017578": 142, "1702961921691895": 142, "168949842453003": 142, "1676232814788818": 142, "1661591529846191": 142, "1648690700531006": 142, "1635968685150146": 142, "1623420715332031": 142, "1611039638519287": 142, "1598823070526123": 142, "1586763858795166": 142, "1574857234954834": 142, "1562526226043701": 142, "1550908088684082": 142, "1539442539215088": 142, "1528112888336182": 142, "1516907215118408": 142, "150583028793335": 142, "1494872570037842": 142, "148576021194458": 142, "1475021839141846": 142, "146440029144287": 142, "145508050918579": 142, "1444649696350098": 142, "1434307098388672": 142, "1424047946929932": 142, "1413865089416504": 142, "140376091003418": 142, "1393711566925049": 142, "1383740901947021": 142, "1373827457427979": 142, "136397361755371": 142, "1355278491973877": 142, "134554386138916": 142, "1335859298706055": 142, "132622241973877": 142, "1316618919372559": 142, "1307079792022705": 142, "1295182704925537": 142, "1283471584320068": 142, "1274068355560303": 142, "1264715194702148": 142, "1255412101745605": 142, "124563455581665": 142, "1236438751220703": 142, "1227295398712158": 142, "121821403503418": 142, "1209187507629395": 142, "1200225353240967": 142, "1191320419311523": 142, "1182165145874023": 142, "1173717975616455": 142, "1179020404815674": 142, "1170339584350586": 142, "116175651550293": 142, "1153221130371094": 142, "1144766807556152": 142, "1136372089385986": 142, "1128053665161133": 142, "1119794845581055": 142, "1111602783203125": 142, "1103482246398926": 142, "1095426082611084": 142, "1087431907653809": 142, "1079504489898682": 142, "107163667678833": 142, "1063828468322754": 142, "1057353019714355": 142, "1049673557281494": 142, "1042039394378662": 142, "1034460067749023": 142, "1026926040649414": 142, "1019456386566162": 142, "1012022495269775": 142, "100464105606079": 142, "0997357368469238": 142, "099003791809082": 142, "0982763767242432": 142, "0975525379180908": 142, "0968317985534668": 142, "0961148738861084": 142, "095365047454834": 142, "0946528911590576": 142, "093942403793335": 142, "0955753326416016": 142, "0948731899261475": 142, "0941739082336426": 142, "0934758186340332": 142, "0927801132202148": 142, "0920848846435547": 142, "0913903713226318": 142, "0906975269317627": 142, "0900051593780518": 142, "0878093242645264": 142, "0871129035949707": 142, "0864176750183105": 142, "0857243537902832": 142, "0850329399108887": 142, "0842788219451904": 142, "0835902690887451": 142, "0829038619995117": 142, "0822207927703857": 142, "081540584564209": 142, "0808637142181396": 142, "0801887512207031": 142, "0795187950134277": 142, "0788519382476807": 142, "0781888961791992": 142, "0775291919708252": 142, "0768725872039795": 142, "0762200355529785": 142, "0755698680877686": 142, "0749242305755615": 142, "074280023574829": 142, "0736091136932373": 142, "0729706287384033": 142, "072333574295044": 142, "07169771194458": 142, "0710639953613281": 142, "070432186126709": 142, "0698020458221436": 142, "069171667098999": 142, "0685429573059082": 142, "06791353225708": 142, "0672855377197266": 142, "0669937133789062": 142, "06636643409729": 142, "0657386779785156": 142, "065112590789795": 142, "0644867420196533": 142, "0638606548309326": 142, "0632362365722656": 142, "0626118183135986": 142, "061988115310669": 142, "0613648891448975": 142, "060743808746338": 142, "0601222515106201": 142, "0595030784606934": 142, "058884620666504": 142, "0582678318023682": 142, "0576529502868652": 142, "057039737701416": 142, "056429147720337": 142, "0558197498321533": 142, "0552144050598145": 142, "054610013961792": 142, "0540094375610352": 142, "0534119606018066": 142, "0530130863189697": 142, "0524232387542725": 142, "0518360137939453": 142, "051252841949463": 142, "0509469509124756": 142, "0503711700439453": 142, "0497899055480957": 142, "0492198467254639": 142, "0484354496002197": 142, "0478739738464355": 142, "047316074371338": 142, "0467617511749268": 142, "0462112426757812": 142, "045663595199585": 142, "045118808746338": 142, "0445783138275146": 142, "0440399646759033": 142, "0435056686401367": 142, "0429716110229492": 142, "0424411296844482": 142, "0419187545776367": 142, "041393518447876": 142, "0408687591552734": 142, "0403473377227783": 142, "0398266315460205": 142, "039308786392212": 142, "0383424758911133": 142, "037829875946045": 142, "037318468093872": 142, "0368084907531738": 142, "036301612854004": 142, "03538179397583": 142, "0348777770996094": 142, "0343759059906006": 142, "033876657485962": 142, "0333800315856934": 142, "0328857898712158": 142, "0323936939239502": 142, "0313546657562256": 142, "030872106552124": 142, "0303921699523926": 142, "0299131870269775": 142, "02943754196167": 142, "028963565826416": 142, "0284943580627441": 142, "0280265808105469": 142, "0275630950927734": 142, "0271015167236328": 142, "02787184715271": 142, "027371883392334": 142, "026874303817749": 142, "0263819694519043": 142, "0258924961090088": 142, "0254077911376953": 142, "024928092956543": 142, "0244529247283936": 142, "0239827632904053": 142, "023517370223999": 142, "0230560302734375": 142, "022601842880249": 142, "0221524238586426": 142, "021707534790039": 142, "0212681293487549": 142, "0208346843719482": 142, "0209414958953857": 142, "0205247402191162": 142, "020113229751587": 142, "0197052955627441": 142, "0193028450012207": 142, "0189051628112793": 142, "0185105800628662": 142, "0181219577789307": 142, "0177340507507324": 142, "0173509120941162": 142, "0169703960418701": 142, "016594409942627": 142, "0162184238433838": 142, "015845775604248": 142, "0154764652252197": 142, "0154213905334473": 142, "015038013458252": 142, "0146560668945312": 142, "007863023318350315": 142, "0007267153705470264": 142, "01104261539876461": 142, "0005943746655248106": 142, "0002120201097568497": 142, "004584269132465124": 142, "004710660316050053": 142, "002417977899312973": 142, "006570193916559219": 142, "016687782481312752": 142, "0041074687615036964": 142, "00873575545847416": 142, "003911606036126614": 142, "0008672111434862018": 142, "009559874422848225": 142, "003421835135668516": 142, "003880617441609502": 142, "007246978115290403": 142, "006969848647713661": 142, "0011974383378401399": 142, "01413868460804224": 142, "009174974635243416": 142, "006717045325785875": 142, "0015282474923878908": 142, "005195314064621925": 142, "00349522870965302": 142, "009877865202724934": 142, "08786685764789581": 142, "0707009956240654": 142, "0034032659605145454": 142, "039483245462179184": 142, "008522704243659973": 142, "05681094527244568": 142, "1639450788497925": 142, "2998714447021484": 142, "0969181060791": 142, "31008028984069824": 142, "714587211608887": 142, "03773307800293": 142, "6625992059707642": 142, "198491096496582": 142, "10228157043457": 142, "000396728515625": 142, "305650234222412": 142, "068126678466797": 142, "5701022148132324": 142, "674519062042236": 142, "080493927001953": 142, "1005288362503052": 142, "2040300369262695": 142, "100385665893555": 142, "8108391761779785": 142, "306828022003174": 142, "08629035949707": 142, "4018874168396": 142, "755303859710693": 142, "087684631347656": 142, "084295272827148": 142, "252726078033447": 142, "014385223388672": 142, "894972324371338": 142, "922214508056641": 142, "696847915649414": 142, "704704761505127": 142, "385218143463135": 142, "011920928955078": 142, "0733146667480469": 142, "2934725284576416": 142, "2876899242401123": 142, "280686378479004": 142, "2741365432739258": 142, "2677867412567139": 142, "261887550354004": 142, "2557711601257324": 142, "249751329421997": 142, "2433967590332031": 142, "2375621795654297": 142, "231830358505249": 142, "2262024879455566": 142, "2205817699432373": 142, "2151706218719482": 142, "2101545333862305": 142, "2054774761199951": 142, "20131254196167": 142, "1972119808197021": 142, "192701816558838": 142, "1890954971313477": 142, "1857011318206787": 142, "1825010776519775": 142, "179490089416504": 142, "1766483783721924": 142, "1738178730010986": 142, "171320915222168": 142, "1689507961273193": 142, "1668109893798828": 142, "1647233963012695": 142, "1627442836761475": 142, "1608710289001465": 142, "1590263843536377": 142, "1573379039764404": 142, "155653715133667": 142, "1541163921356201": 142, "1526494026184082": 142, "1512479782104492": 142, "1497602462768555": 142, "1478040218353271": 142, "1465790271759033": 142, "1454041004180908": 142, "1442737579345703": 142, "1431877613067627": 142, "1421420574188232": 142, "1411356925964355": 142, "140164852142334": 142, "1392278671264648": 142, "1383240222930908": 142, "1374497413635254": 142, "136603593826294": 142, "1357855796813965": 142, "1349899768829346": 142, "1342220306396484": 142, "1334776878356934": 142, "1327526569366455": 142, "1320483684539795": 142, "1313588619232178": 142, "1306862831115723": 142, "130385398864746": 142, "1297376155853271": 142, "1290977001190186": 142, "1284008026123047": 142, "1276640892028809": 142, "1270380020141602": 142, "126413345336914": 142, "1257898807525635": 142, "1251704692840576": 142, "124558687210083": 142, "124025821685791": 142, "12333083152771": 142, "1227693557739258": 142, "1222312450408936": 142, "121720790863037": 142, "1212327480316162": 142, "1209616661071777": 142, "1204817295074463": 142, "1200473308563232": 142, "1196224689483643": 142, "119206190109253": 142, "1187963485717773": 142, "1183934211730957": 142, "1179962158203125": 142, "1176061630249023": 142, "1167867183685303": 142, "1163365840911865": 142, "1157948970794678": 142, "1154351234436035": 142, "1151320934295654": 142, "1147918701171875": 142, "1143341064453125": 142, "1140155792236328": 142, "113708734512329": 142, "1134140491485596": 142, "1131324768066406": 142, "112863540649414": 142, "1126108169555664": 142, "1123697757720947": 142, "112144947052002": 142, "111933708190918": 142, "1117374897003174": 142, "1115562915802002": 142, "1111571788787842": 142, "1110024452209473": 142, "1108598709106445": 142, "1107287406921387": 142, "1106085777282715": 142, "1105799674987793": 142, "1104774475097656": 142, "110379695892334": 142, "1102879047393799": 142, "109635829925537": 142, "1096508502960205": 142, "109555721282959": 142, "1091406345367432": 142, "1090376377105713": 142, "1089262962341309": 142, "108808994293213": 142, "1086807250976562": 142, "1085433959960938": 142, "1083929538726807": 142, "1082301139831543": 142, "10805344581604": 142, "107862949371338": 142, "107656478881836": 142, "1074366569519043": 142, "106966495513916": 142, "1065185070037842": 142, "1062581539154053": 142, "1059844493865967": 142, "1056976318359375": 142, "104799747467041": 142, "1045129299163818": 142, "1041910648345947": 142, "1038587093353271": 142, "1035010814666748": 142, "1032633781433105": 142, "1029083728790283": 142, "1025450229644775": 142, "1021723747253418": 142, "101792335510254": 142, "1014044284820557": 142, "1010098457336426": 142, "1006088256835938": 142, "10020112991333": 142, "0997874736785889": 142, "0993683338165283": 142, "098945140838623": 142, "0985193252563477": 142, "0983891487121582": 142, "0979645252227783": 142, "0975394248962402": 142, "096919059753418": 142, "096703290939331": 142, "0962824821472168": 142, "0957868099212646": 142, "0953619480133057": 142, "0949375629425049": 142, "0945117473602295": 142, "0940866470336914": 142, "0936613082885742": 142, "093235969543457": 142, "0928113460540771": 142, "0923871994018555": 142, "0920524597167969": 142, "0915236473083496": 142, "0919468402862549": 142, "0915210247039795": 142, "091766595840454": 142, "0913410186767578": 142, "090916395187378": 142, "0906932353973389": 142, "090275764465332": 142, "0895204544067383": 142, "0891070365905762": 142, "0886955261230469": 142, "0878758430480957": 142, "087322473526001": 142, "0869147777557373": 142, "0867862701416016": 142, "0863850116729736": 142, "085986852645874": 142, "0855917930603027": 142, "085200309753418": 142, "0848119258880615": 142, "0844266414642334": 142, "0840442180633545": 142, "0836663246154785": 142, "0832924842834473": 142, "083026647567749": 142, "0826623439788818": 142, "0817341804504395": 142, "08119535446167": 142, "080843210220337": 142, "080495834350586": 142, "080152988433838": 142, "0798146724700928": 142, "0794806480407715": 142, "0788471698760986": 142, "0785207748413086": 142, "0781986713409424": 142, "0778813362121582": 142, "0775694847106934": 142, "0772626399993896": 142, "0768766403198242": 142, "0761029720306396": 142, "0758082866668701": 142, "0755198001861572": 142, "0752372741699219": 142, "0749590396881104": 142, "074615240097046": 142, "0740790367126465": 142, "0738167762756348": 142, "0736241340637207": 142, "0733771324157715": 142, "0731353759765625": 142, "0726804733276367": 142, "0724472999572754": 142, "0722191333770752": 142, "071995735168457": 142, "0717792510986328": 142, "0715663433074951": 142, "0713584423065186": 142, "072037696838379": 142, "071843147277832": 142, "071652889251709": 142, "0714688301086426": 142, "0712897777557373": 142, "071115493774414": 142, "0709445476531982": 142, "07078218460083": 142, "0706257820129395": 142, "07047438621521": 142, "0703282356262207": 142, "0701887607574463": 142, "070054292678833": 142, "0697617530822754": 142, "0695183277130127": 142, "0694053173065186": 142, "069298267364502": 142, "0693724155426025": 142, "069279670715332": 142, "0691914558410645": 142, "0691094398498535": 142, "0695767402648926": 142, "0695035457611084": 142, "069439172744751": 142, "0693793296813965": 142, "0693273544311523": 142, "0692811012268066": 142, "069239616394043": 142, "069561243057251": 142, "0683305263519287": 142, "0683226585388184": 142, "0683152675628662": 142, "0683128833770752": 142, "0683183670043945": 142, "0683293342590332": 142, "0683465003967285": 142, "0683693885803223": 142, "067460298538208": 142, "0674941539764404": 142, "0675313472747803": 142, "0675759315490723": 142, "067627191543579": 142, "067683219909668": 142, "067744255065918": 142, "067920207977295": 142, "0679962635040283": 142, "0680763721466064": 142, "0681641101837158": 142, "0683257579803467": 142, "0684244632720947": 142, "0688114166259766": 142, "0689220428466797": 142, "069040060043335": 142, "0692529678344727": 142, "0693836212158203": 142, "0695199966430664": 142, "0696611404418945": 142, "069808006286621": 142, "0699620246887207": 142, "070122480392456": 142, "0702869892120361": 142, "0704560279846191": 142, "070631504058838": 142, "0707731246948242": 142, "0709576606750488": 142, "0711467266082764": 142, "0713410377502441": 142, "0715417861938477": 142, "071746826171875": 142, "0719552040100098": 142, "0721714496612549": 142, "0723915100097656": 142, "072615146636963": 142, "0728437900543213": 142, "0730769634246826": 142, "04972703754901886": 142, "01316179521381855": 142, "00413157744333148": 142, "05963980406522751": 142, "02270776405930519": 142, "00279727834276855": 142, "05388333275914192": 142, "01494333241134882": 142, "013477778993546963": 142, "04400971531867981": 142, "019280582666397095": 142, "219932791078463e": 142, "042583711445331573": 142, "03223937004804611": 142, "014567414298653603": 142, "07408797740936279": 142, "019956940785050392": 142, "008741230703890324": 142, "04991170018911362": 142, "021977366879582405": 142, "0011886990396305919": 142, "047202616930007935": 142, "014330693520605564": 142, "0029430934228003025": 142, "033723875880241394": 142, "002324896166101098": 142, "006838945671916008": 142, "02016911841928959": 142, "08071987330913544": 142, "06213177368044853": 142, "026148125529289246": 142, "034787047654390335": 142, "08407275378704071": 142, "4255989789962769": 142, "513005018234253": 142, "08590316772461": 142, "010915203019976616": 142, "870300769805908": 142, "00320816040039": 142, "4090708494186401": 142, "429577350616455": 142, "115121841430664": 142, "244082927703857": 142, "581507921218872": 142, "025480270385742": 142, "838364601135254": 142, "950489044189453": 142, "063413619995117": 142, "4809982776641846": 142, "453768730163574": 142, "089651107788086": 142, "081437110900879": 142, "5215680599212646": 142, "08355140686035": 142, "661170959472656": 142, "955909252166748": 142, "06862449645996": 142, "265338897705078": 142, "392243385314941": 142, "060367584228516": 142, "419443130493164": 142, "042521845549345016": 142, "772274017333984": 142, "406867504119873": 142, "8536697626113892": 142, "178674697875977": 142, "0997660160064697": 142, "9059233665466309": 142, "894533634185791": 142, "8847455978393555": 142, "8754775524139404": 142, "867189884185791": 142, "8587121963500977": 142, "850541114807129": 142, "8426339626312256": 142, "834944248199463": 142, "8270854949951172": 142, "8197319507598877": 142, "812511682510376": 142, "8056261539459229": 142, "7985765933990479": 142, "791670560836792": 142, "784853458404541": 142, "7781176567077637": 142, "7714564800262451": 142, "7648663520812988": 142, "7583394050598145": 142, "7518141269683838": 142, "7454032897949219": 142, "739046335220337": 142, "7327494621276855": 142, "7264859676361084": 142, "7200725078582764": 142, "713900089263916": 142, "7077627182006836": 142, "7016644477844238": 142, "695603370666504": 142, "6895034313201904": 142, "6835014820098877": 142, "6775336265563965": 142, "6714036464691162": 142, "6654963493347168": 142, "659621238708496": 142, "6537747383117676": 142, "647979974746704": 142, "6421926021575928": 142, "6364312171936035": 142, "6306967735290527": 142, "6250357627868652": 142, "619584083557129": 142, "6139249801635742": 142, "6087226867675781": 142, "60312819480896": 142, "5975546836853027": 142, "5920052528381348": 142, "5864405632019043": 142, "5810391902923584": 142, "5755629539489746": 142, "5701103210449219": 142, "564681053161621": 142, "5592751502990723": 142, "5538063049316406": 142, "548445224761963": 142, "5431108474731445": 142, "53779935836792": 142, "5325136184692383": 142, "5272550582885742": 142, "5220212936401367": 142, "516813039779663": 142, "5115902423858643": 142, "5064418315887451": 142, "501075029373169": 142, "4959652423858643": 142, "4908802509307861": 142, "4858224391937256": 142, "4807894229888916": 142, "4755849838256836": 142, "470607042312622": 142, "465653896331787": 142, "4608392715454102": 142, "4559361934661865": 142, "4510576725006104": 142, "446258544921875": 142, "4416441917419434": 142, "4368336200714111": 142, "4320473670959473": 142, "427394151687622": 142, "4226524829864502": 142, "4179353713989258": 142, "413243293762207": 142, "4085750579833984": 142, "4039342403411865": 142, "39909029006958": 142, "3945057392120361": 142, "3899474143981934": 142, "3854167461395264": 142, "3809144496917725": 142, "376283884048462": 142, "3718268871307373": 142, "3673985004425049": 142, "3630001544952393": 142, "3586618900299072": 142, "35438871383667": 142, "3499755859375": 142, "3461627960205078": 142, "3421313762664795": 142, "3380992412567139": 142, "33412504196167": 142, "3298311233520508": 142, "3259069919586182": 142, "322235107421875": 142, "3186335563659668": 142, "3151609897613525": 142, "3115198612213135": 142, "3079299926757812": 142, "3043928146362305": 142, "300905704498291": 142, "2974700927734375": 142, "2940845489501953": 142, "290574073791504": 142, "2872867584228516": 142, "2840478420257568": 142, "2807886600494385": 142, "2776436805725098": 142, "2745461463928223": 142, "2714941501617432": 142, "2683022022247314": 142, "2653436660766602": 142, "262430191040039": 142, "2595627307891846": 142, "2567417621612549": 142, "2540078163146973": 142, "2510616779327393": 142, "2483747005462646": 142, "2457325458526611": 142, "2431349754333496": 142, "2405810356140137": 142, "238070011138916": 142, "235600233078003": 142, "2331733703613281": 142, "2307887077331543": 142, "228445291519165": 142, "2261438369750977": 142, "2238833904266357": 142, "221662998199463": 142, "2194831371307373": 142, "2173426151275635": 142, "215240478515625": 142, "213176965713501": 142, "2111515998840332": 142, "209162950515747": 142, "2072117328643799": 142, "2052953243255615": 142, "2034153938293457": 142, "2015705108642578": 142, "1997597217559814": 142, "1978306770324707": 142, "1960878372192383": 142, "194378137588501": 142, "1927242279052734": 142, "1910784244537354": 142, "1894636154174805": 142, "187880516052246": 142, "1863276958465576": 142, "1848046779632568": 142, "1833100318908691": 142, "1817636489868164": 142, "180342435836792": 142, "1788299083709717": 142, "1774632930755615": 142, "1761231422424316": 142, "1748087406158447": 142, "1735191345214844": 142, "1722543239593506": 142, "1710128784179688": 142, "1697959899902344": 142, "1686010360717773": 142, "1674292087554932": 142, "1662781238555908": 142, "1651489734649658": 142, "1637728214263916": 142, "1626861095428467": 142, "161618947982788": 142, "1605710983276367": 142, "1595418453216553": 142, "1585309505462646": 142, "1575374603271484": 142, "1561365127563477": 142, "155177116394043": 142, "1542344093322754": 142, "153282642364502": 142, "1522834300994873": 142, "151390790939331": 142, "1505122184753418": 142, "1499710083007812": 142, "1489601135253906": 142, "1481258869171143": 142, "147303819656372": 142, "1465587615966797": 142, "1457650661468506": 142, "145085334777832": 142, "144317626953125": 142, "143561601638794": 142, "1428191661834717": 142, "1420881748199463": 142, "1413688659667969": 142, "1406617164611816": 142, "1399664878845215": 142, "1392822265625": 142, "1386091709136963": 142, "1379473209381104": 142, "1372959613800049": 142, "1366546154022217": 142, "1360242366790771": 142, "1354036331176758": 142, "1347930431365967": 142, "1341912746429443": 142, "1337549686431885": 142, "1331722736358643": 142, "1325976848602295": 142, "1320326328277588": 142, "1314756870269775": 142, "1298246383666992": 142, "1292963027954102": 142, "1287753582000732": 142, "128263235092163": 142, "127758264541626": 142, "1272609233856201": 142, "1267707347869873": 142, "1262884140014648": 142, "1258125305175781": 142, "1253440380096436": 142, "1248829364776611": 142, "124427318572998": 142, "1239781379699707": 142, "1235356330871582": 142, "1230995655059814": 142, "122668743133545": 142, "1222445964813232": 142, "121826410293579": 142, "121412992477417": 142, "1210048198699951": 142, "1206026077270508": 142, "1202049255371094": 142, "11981201171875": 142, "1194241046905518": 142, "1190409660339355": 142, "118661880493164": 142, "1182870864868164": 142, "1178181171417236": 142, "11745285987854": 142, "1170909404754639": 142, "116732120513916": 142, "1163771152496338": 142, "1160247325897217": 142, "1156761646270752": 142, "1153302192687988": 142, "1149866580963135": 142, "1146464347839355": 142, "1146490573883057": 142, "1143121719360352": 142, "1139774322509766": 142, "113645315170288": 142, "1133151054382324": 142, "1129863262176514": 142, "112658977508545": 142, "1123335361480713": 142, "1120076179504395": 142, "1116840839385986": 142, "1113600730895996": 142, "1116793155670166": 142, "111358404159546": 142, "1110386848449707": 142, "1107192039489746": 142, "1104013919830322": 142, "1100828647613525": 142, "1097652912139893": 142, "1094472408294678": 142, "1089990139007568": 142, "1086812019348145": 142, "1083641052246094": 142, "1080472469329834": 142, "1077284812927246": 142, "107410192489624": 142, "1070914268493652": 142, "1067724227905273": 142, "1064534187316895": 142, "1061336994171143": 142, "1058127880096436": 142, "105492353439331": 142, "1051712036132812": 142, "1048495769500732": 142, "1045262813568115": 142, "1042029857635498": 142, "1038784980773926": 142, "103553056716919": 142, "103227138519287": 142, "1028997898101807": 142, "102571964263916": 142, "1022424697875977": 142, "1019117832183838": 142, "101456880569458": 142, "1011242866516113": 142, "1007912158966064": 142, "1004559993743896": 142, "1001017093658447": 142, "00045384702389128506": 142, "0027261218056082726": 142, "004583404399454594": 142, "0009146885713562369": 142, "0017826372059062123": 142, "00028408996877260506": 142, "006429681554436684": 142, "0002989575732499361": 142, "00846625491976738": 142, "0002777879126369953": 142, "005259114317595959": 142, "002826136304065585": 142, "0004329005314502865": 142, "003106337273493409": 142, "005049278028309345": 142, "004398098681122065": 142, "0027034026570618153": 142, "006175912916660309": 142, "0028719508554786444": 142, "0009401829447597265": 142, "0036633899435400963": 142, "00245546642690897": 142, "0013657421804964542": 142, "005000031087547541": 142, "006646519061177969": 142, "0031722949352115393": 142, "004488475155085325": 142, "08601363003253937": 142, "010003345087170601": 142, "045426301658153534": 142, "004902317654341459": 142, "03422003239393234": 142, "004503560718148947": 142, "387251377105713": 142, "445406675338745": 142, "057416915893555": 142, "046532660722732544": 142, "900172233581543": 142, "043182373046875": 142, "4319071769714355": 142, "346334934234619": 142, "074058532714844": 142, "2136383056640625": 142, "4545845985412598": 142, "054645538330078": 142, "7750470638275146": 142, "907956123352051": 142, "15948486328125": 142, "3717870712280273": 142, "374394416809082": 142, "043363571166992": 142, "032896518707275": 142, "4605937004089355": 142, "06867027282715": 142, "636366367340088": 142, "902337074279785": 142, "048669815063477": 142, "229442119598389": 142, "364093780517578": 142, "03485107421875": 142, "7504067420959473": 142, "154766082763672": 142, "147024154663086": 142, "9964655637741089": 142, "627327919006348": 142, "4869441986084": 142, "0065224170684814": 142, "350578784942627": 142, "3445384502410889": 142, "3381338119506836": 142, "3319993019104004": 142, "3259646892547607": 142, "3202457427978516": 142, "31471586227417": 142, "3093676567077637": 142, "3042678833007812": 142, "299271821975708": 142, "2944388389587402": 142, "289764165878296": 142, "2852399349212646": 142, "2808613777160645": 142, "2766201496124268": 142, "2725105285644531": 142, "2685256004333496": 142, "2645258903503418": 142, "2607719898223877": 142, "2572119235992432": 142, "2536675930023193": 142, "2502202987670898": 142, "2468652725219727": 142, "2435967922210693": 142, "2404093742370605": 142, "2373058795928955": 142, "234276533126831": 142, "2313191890716553": 142, "2284295558929443": 142, "2256059646606445": 142, "2228443622589111": 142, "220144510269165": 142, "2175028324127197": 142, "2149178981781006": 142, "212385892868042": 142, "2099061012268066": 142, "2074766159057617": 142, "205094575881958": 142, "2027909755706787": 142, "200465202331543": 142, "1982197761535645": 142, "1960160732269287": 142, "1938543319702148": 142, "1922235488891602": 142, "1901452541351318": 142, "188103199005127": 142, "186096429824829": 142, "1840438842773438": 142, "1821088790893555": 142, "1802070140838623": 142, "1783373355865479": 142, "1764979362487793": 142, "1746785640716553": 142, "1728992462158203": 142, "1711485385894775": 142, "169426679611206": 142, "167731761932373": 142, "166062831878662": 142, "1644208431243896": 142, "1628038883209229": 142, "1612117290496826": 142, "1596426963806152": 142, "158097267150879": 142, "1565732955932617": 142, "1550705432891846": 142, "1535885334014893": 142, "1521284580230713": 142, "1506874561309814": 142, "1492655277252197": 142, "1478633880615234": 142, "1464784145355225": 142, "145113229751587": 142, "1437640190124512": 142, "142432451248169": 142, "1419239044189453": 142, "140622854232788": 142, "1393368244171143": 142, "1380643844604492": 142, "1368069648742676": 142, "1355619430541992": 142, "1343305110931396": 142, "1331119537353516": 142, "1319060325622559": 142, "1307110786437988": 142, "1295289993286133": 142, "12835693359375": 142, "1271955966949463": 142, "1260449886322021": 142, "124772071838379": 142, "123640775680542": 142, "1225171089172363": 142, "1214032173156738": 142, "1202976703643799": 142, "1192011833190918": 142, "118112325668335": 142, "1170315742492676": 142, "1159589290618896": 142, "1148946285247803": 142, "113837718963623": 142, "112788200378418": 142, "1119048595428467": 142, "1108732223510742": 142, "1098487377166748": 142, "1088323593139648": 142, "1078238487243652": 142, "1068251132965088": 142, "1058335304260254": 142, "1048505306243896": 142, "1038763523101807": 142, "1029114723205566": 142, "1019408702850342": 142, "100994348526001": 142, "1000573635101318": 142, "0991291999816895": 142, "098210096359253": 142, "0973005294799805": 142, "0964000225067139": 142, "0955102443695068": 142, "0946285724639893": 142, "093886137008667": 142, "0930237770080566": 142, "0921697616577148": 142, "0913255214691162": 142, "0904901027679443": 142, "0896637439727783": 142, "0888464450836182": 142, "0880377292633057": 142, "08723783493042": 142, "0864458084106445": 142, "0856621265411377": 142, "0848867893218994": 142, "084118366241455": 142, "083357572555542": 142, "0826034545898438": 142, "0818560123443604": 142, "0811161994934082": 142, "0803899765014648": 142, "0796608924865723": 142, "0771386623382568": 142, "076416015625": 142, "0756971836090088": 142, "0749852657318115": 142, "0740597248077393": 142, "0733566284179688": 142, "0726583003997803": 142, "0719647407531738": 142, "0712759494781494": 142, "070591688156128": 142, "0699114799499512": 142, "0692346096038818": 142, "0685620307922363": 142, "0678932666778564": 142, "067228078842163": 142, "0663166046142578": 142, "0656580924987793": 142, "065002202987671": 142, "06434965133667": 142, "0636999607086182": 142, "0630548000335693": 142, "0624122619628906": 142, "0617725849151611": 142, "0611376762390137": 142, "0605051517486572": 142, "0598788261413574": 142, "0592546463012695": 142, "058332920074463": 142, "0577170848846436": 142, "0571064949035645": 142, "056499719619751": 142, "0573046207427979": 142, "056708574295044": 142, "0561470985412598": 142, "0555593967437744": 142, "0549776554107666": 142, "054398775100708": 142, "0538249015808105": 142, "05332612991333": 142, "0529096126556396": 142, "0523476600646973": 142, "051788568496704": 142, "0512311458587646": 142, "0506770610809326": 142, "0501248836517334": 142, "05021333694458": 142, "0496621131896973": 142, "0485529899597168": 142, "0480012893676758": 142, "0474519729614258": 142, "0479710102081299": 142, "0474183559417725": 142, "0468683242797852": 142, "0463221073150635": 142, "0457770824432373": 142, "0452349185943604": 142, "0446951389312744": 142, "0441336631774902": 142, "0435693264007568": 142, "0430335998535156": 142, "0425021648406982": 142, "0419743061065674": 142, "0414509773254395": 142, "040930986404419": 142, "0395970344543457": 142, "0392167568206787": 142, "0387163162231445": 142, "0382204055786133": 142, "0377306938171387": 142, "037245512008667": 142, "0367670059204102": 142, "036294937133789": 142, "0358295440673828": 142, "0353708267211914": 142, "0349626541137695": 142, "034517765045166": 142, "034078598022461": 142, "0336477756500244": 142, "0332236289978027": 142, "032806634902954": 142, "0327022075653076": 142, "0322513580322266": 142, "0318529605865479": 142, "031461477279663": 142, "0310757160186768": 142, "0308072566986084": 142, "0304334163665771": 142, "0300660133361816": 142, "0297868251800537": 142, "0294289588928223": 142, "0290758609771729": 142, "0287280082702637": 142, "0283844470977783": 142, "0280449390411377": 142, "0277087688446045": 142, "027376651763916": 142, "0270471572875977": 142, "0267210006713867": 142, "0263972282409668": 142, "0260767936706543": 142, "0257585048675537": 142, "0254428386688232": 142, "02482008934021": 142, "0245122909545898": 142, "024162769317627": 142, "0238604545593262": 142, "0235612392425537": 142, "0232641696929932": 142, "0229682922363281": 142, "022676706314087": 142, "020211935043335": 142, "019911527633667": 142, "01961088180542": 142, "0193114280700684": 142, "0190129280090332": 142, "0187153816223145": 142, "0184195041656494": 142, "0181255340576172": 142, "0178346633911133": 142, "0175457000732422": 142, "0172603130340576": 142, "016977310180664": 142, "0166969299316406": 142, "016418695449829": 142, "0161442756652832": 142, "0158717632293701": 142, "0155439376831055": 142, "0152757167816162": 142, "0150108337402344": 142, "0147480964660645": 142, "0144891738891602": 142, "0142326354980469": 142, "013979434967041": 142, "0134799480438232": 142, "0132334232330322": 142, "012988567352295": 142, "0127460956573486": 142, "0125048160552979": 142, "0122649669647217": 142, "0120279788970947": 142, "0115408897399902": 142, "0108897686004639": 142, "0106561183929443": 142, "0104212760925293": 142, "0101885795593262": 142, "0099573135375977": 142, "0097274780273438": 142, "0094971656799316": 142, "0092697143554688": 142, "0090429782867432": 142, "008817195892334": 142, "008591890335083": 142, "0083692073822021": 142, "0081472396850586": 142, "0079269409179688": 142, "0077087879180908": 142, "0071589946746826": 142, "0069453716278076": 142, "00673246383667": 142, "0008021784597076476": 142, "0011049049207940698": 142, "010144783183932304": 142, "014621356502175331": 142, "0013933011796325445": 142, "005402470473200083": 142, "0018503780011087656": 142, "00336259207688272": 142, "011009282432496548": 142, "0029464573599398136": 142, "007258533965796232": 142, "011019546538591385": 142, "011117200367152691": 142, "01363413967192173": 142, "014359593391418457": 142, "011027023196220398": 142, "017423612996935844": 142, "000936156720854342": 142, "00020780817430932075": 142, "0022366270422935486": 142, "008344688452780247": 142, "00023114561918191612": 142, "0017588053597137332": 142, "010686448775231838": 142, "009588058106601238": 142, "009947314858436584": 142, "009185142815113068": 142, "016300233080983162": 142, "08652579039335251": 142, "00779187073931098": 142, "024365214630961418": 142, "0025336365215480328": 142, "0247885063290596": 142, "4416011571884155": 142, "4398951530456543": 142, "162809371948242": 142, "01183905266225338": 142, "903446674346924": 142, "04486083984375": 142, "377320647239685": 142, "312458515167236": 142, "049762725830078": 142, "292991638183594": 142, "443046808242798": 142, "030860900878906": 142, "863520622253418": 142, "913815498352051": 142, "03594398498535": 142, "439391016960144": 142, "332555770874023": 142, "067184448242188": 142, "073495388031006": 142, "4465935230255127": 142, "06108856201172": 142, "670354843139648": 142, "889301300048828": 142, "072547912597656": 142, "254512310028076": 142, "3253326416015625": 142, "057140350341797": 142, "7771342992782593": 142, "6417524814605713": 142, "13175392150879": 142, "9208516478538513": 142, "6972506046295166": 142, "6044921875": 142, "031074047088623": 142, "7205109596252441": 142, "7137398719787598": 142, "7073814868927002": 142, "701209306716919": 142, "6950960159301758": 142, "6890649795532227": 142, "68312668800354": 142, "6772334575653076": 142, "6712751388549805": 142, "6655032634735107": 142, "6597862243652344": 142, "654426097869873": 142, "6491785049438477": 142, "643601894378662": 142, "6380689144134521": 142, "6325790882110596": 142, "6271319389343262": 142, "6217248439788818": 142, "616356611251831": 142, "6110272407531738": 142, "6057379245758057": 142, "600487470626831": 142, "5953497886657715": 142, "5901732444763184": 142, "5850372314453125": 142, "57993745803833": 142, "574873447418213": 142, "5698270797729492": 142, "5648386478424072": 142, "5598852634429932": 142, "554971694946289": 142, "5500924587249756": 142, "54524827003479": 142, "5404422283172607": 142, "5356700420379639": 142, "530930995941162": 142, "526228666305542": 142, "5215590000152588": 142, "5169215202331543": 142, "5124528408050537": 142, "5078814029693604": 142, "5033411979675293": 142, "4988327026367188": 142, "4943530559539795": 142, "4900758266448975": 142, "485654354095459": 142, "4812641143798828": 142, "4768996238708496": 142, "4725627899169922": 142, "4682550430297852": 142, "463973045349121": 142, "4597203731536865": 142, "4554922580718994": 142, "4512913227081299": 142, "4471182823181152": 142, "442986249923706": 142, "4390029907226562": 142, "434910535812378": 142, "4308459758758545": 142, "4267568588256836": 142, "4226641654968262": 142, "4185855388641357": 142, "4146292209625244": 142, "410698652267456": 142, "4067974090576172": 142, "4029219150543213": 142, "3990764617919922": 142, "3952596187591553": 142, "391467809677124": 142, "3877067565917969": 142, "383974313735962": 142, "3802685737609863": 142, "3765923976898193": 142, "3729443550109863": 142, "3693230152130127": 142, "3657307624816895": 142, "3621680736541748": 142, "358633279800415": 142, "3551249504089355": 142, "3516454696655273": 142, "3481950759887695": 142, "344771385192871": 142, "3413753509521484": 142, "338005781173706": 142, "334662914276123": 142, "3313477039337158": 142, "328059434890747": 142, "3247978687286377": 142, "3215620517730713": 142, "3184263706207275": 142, "3152415752410889": 142, "311955451965332": 142, "3088188171386719": 142, "305706262588501": 142, "302666187286377": 142, "2995996475219727": 142, "2965571880340576": 142, "293536901473999": 142, "290827751159668": 142, "287853717803955": 142, "2849023342132568": 142, "281973123550415": 142, "2790639400482178": 142, "2761743068695068": 142, "273305892944336": 142, "2704577445983887": 142, "2676312923431396": 142, "2648248672485352": 142, "2620389461517334": 142, "2592747211456299": 142, "2565295696258545": 142, "2534244060516357": 142, "250720500946045": 142, "2480356693267822": 142, "2457911968231201": 142, "2431526184082031": 142, "2405345439910889": 142, "2379357814788818": 142, "2353582382202148": 142, "232801914215088": 142, "2302665710449219": 142, "227637767791748": 142, "2251427173614502": 142, "222783088684082": 142, "2203311920166016": 142, "2178997993469238": 142, "2154889106750488": 142, "2131004333496094": 142, "2107315063476562": 142, "2083821296691895": 142, "2060556411743164": 142, "2037479877471924": 142, "2014622688293457": 142, "1991949081420898": 142, "1969492435455322": 142, "1947236061096191": 142, "1925177574157715": 142, "1903316974639893": 142, "1881651878356934": 142, "1860175132751465": 142, "1838886737823486": 142, "1817796230316162": 142, "1796891689300537": 142, "177617073059082": 142, "1755647659301758": 142, "1735303401947021": 142, "171515941619873": 142, "1695051193237305": 142, "1701006889343262": 142, "1681592464447021": 142, "1662306785583496": 142, "1643202304840088": 142, "1624279022216797": 142, "160552740097046": 142, "1586964130401611": 142, "1568572521209717": 142, "1550374031066895": 142, "1532337665557861": 142, "1514477729797363": 142, "1496801376342773": 142, "1479289531707764": 142, "146195650100708": 142, "1444809436798096": 142, "14278244972229": 142, "1411023139953613": 142, "139436960220337": 142, "1377897262573242": 142, "1361596584320068": 142, "1345453262329102": 142, "13279128074646": 142, "1312017440795898": 142, "1296298503875732": 142, "1282596588134766": 142, "1267216205596924": 142, "1251990795135498": 142, "1236934661865234": 142, "122209072113037": 142, "1207456588745117": 142, "1190710067749023": 142, "117649793624878": 142, "1160361766815186": 142, "1155312061309814": 142, "1141719818115234": 142, "1128368377685547": 142, "111520528793335": 142, "1102252006530762": 142, "1089472770690918": 142, "1076898574829102": 142, "106449842453003": 142, "1052277088165283": 142, "1040239334106445": 142, "1029951572418213": 142, "101780652999878": 142, "1006309986114502": 142, "0995006561279297": 142, "098388433456421": 142, "097294807434082": 142, "0959501266479492": 142, "094893455505371": 142, "0938537120819092": 142, "0928304195404053": 142, "0918247699737549": 142, "0909230709075928": 142, "0899608135223389": 142, "0890834331512451": 142, "0881500244140625": 142, "0851690769195557": 142, "0842621326446533": 142, "083371639251709": 142, "0824964046478271": 142, "0816352367401123": 142, "0807876586914062": 142, "0799534320831299": 142, "0795230865478516": 142, "0787129402160645": 142, "0779149532318115": 142, "0771734714508057": 142, "076395034790039": 142, "075624942779541": 142, "0748648643493652": 142, "074112892150879": 142, "072631597518921": 142, "0719013214111328": 142, "0711777210235596": 142, "0704607963562012": 142, "0697484016418457": 142, "0690407752990723": 142, "0683388710021973": 142, "0676424503326416": 142, "0669491291046143": 142, "0662598609924316": 142, "0656566619873047": 142, "0649774074554443": 142, "064302682876587": 142, "0636317729949951": 142, "0629634857177734": 142, "0623009204864502": 142, "0620908737182617": 142, "0614373683929443": 142, "0607879161834717": 142, "0601425170898438": 142, "0595018863677979": 142, "0588672161102295": 142, "0582380294799805": 142, "057615041732788": 142, "0569987297058105": 142, "0563883781433105": 142, "0557844638824463": 142, "055187463760376": 142, "054598093032837": 142, "054015874862671": 142, "0534403324127197": 142, "0528721809387207": 142, "052311897277832": 142, "051759958267212": 142, "0512144565582275": 142, "0506434440612793": 142, "0501115322113037": 142, "0495874881744385": 142, "0490705966949463": 142, "0485594272613525": 142, "0480544567108154": 142, "0475554466247559": 142, "0470619201660156": 142, "0465731620788574": 142, "0460898876190186": 142, "0456109046936035": 142, "0451154708862305": 142, "0446443557739258": 142, "0441770553588867": 142, "0437119007110596": 142, "0432507991790771": 142, "0427935123443604": 142, "0423369407653809": 142, "0418822765350342": 142, "0414304733276367": 142, "0409796237945557": 142, "0405316352844238": 142, "0400843620300293": 142, "039276361465454": 142, "0388388633728027": 142, "0384008884429932": 142, "0379629135131836": 142, "0376322269439697": 142, "0371966361999512": 142, "0367627143859863": 142, "0363318920135498": 142, "035902738571167": 142, "0353801250457764": 142, "0349555015563965": 142, "0345349311828613": 142, "0340139865875244": 142, "0355210304260254": 142, "0350699424743652": 142, "0346291065216064": 142, "034193992614746": 142, "0337669849395752": 142, "0333435535430908": 142, "012204480357468128": 142, "0018946632044389844": 142, "011703194119036198": 142, "003993745893239975": 142, "007476889528334141": 142, "001444893074221909": 142, "004617846105247736": 142, "00626772828400135": 142, "008786487393081188": 142, "02283288724720478": 142, "0027850796468555927": 142, "010884489864110947": 142, "010193590074777603": 142, "014182943850755692": 142, "008635547012090683": 142, "004125782288610935": 142, "0005415646592155099": 142, "009602406993508339": 142, "004007997456938028": 142, "298460746416822e": 142, "010327399708330631": 142, "0041630202904343605": 142, "0017641265876591206": 142, "009849272668361664": 142, "0023284030612558126": 142, "0009060308802872896": 142, "010227927006781101": 142, "04971351474523544": 142, "06309091299772263": 142, "023529784753918648": 142, "08285949379205704": 142, "01236072275787592": 142, "11533714085817337": 142, "3937093019485474": 142, "4610097408294678": 142, "06386947631836": 142, "012236781418323517": 142, "901076316833496": 142, "08584976196289": 142, "4281299114227295": 142, "332134246826172": 142, "05171012878418": 142, "186624526977539": 142, "49280047416687": 142, "11321258544922": 142, "808109998703003": 142, "909733772277832": 142, "07528305053711": 142, "4124058485031128": 142, "265364646911621": 142, "001976013183594": 142, "08080530166626": 142, "4812822341918945": 142, "0611629486084": 142, "639945983886719": 142, "939295768737793": 142, "043033599853516": 142, "226632118225098": 142, "348086833953857": 142, "064523696899414": 142, "118631839752197": 142, "0891454219818115": 142, "896011352539062": 142, "087215900421143": 142, "8869497776031494": 142, "465585708618164": 142, "1558101177215576": 142, "838423252105713": 142, "8264851570129395": 142, "8175158500671387": 142, "8086304664611816": 142, "7995283603668213": 142, "7903361320495605": 142, "78128981590271": 142, "7726104259490967": 142, "7642443180084229": 142, "7561447620391846": 142, "7482821941375732": 142, "7406272888183594": 142, "7331593036651611": 142, "7258589267730713": 142, "7187082767486572": 142, "7118802070617676": 142, "7050888538360596": 142, "6983094215393066": 142, "6916370391845703": 142, "6850640773773193": 142, "6785969734191895": 142, "67219877243042": 142, "6658828258514404": 142, "659520149230957": 142, "6533808708190918": 142, "647352695465088": 142, "6414248943328857": 142, "6355946063995361": 142, "6298608779907227": 142, "6242079734802246": 142, "61863374710083": 142, "6131372451782227": 142, "6076695919036865": 142, "6023192405700684": 142, "5970408916473389": 142, "5918292999267578": 142, "586683988571167": 142, "5816030502319336": 142, "5765843391418457": 142, "5716261863708496": 142, "5667273998260498": 142, "5618879795074463": 142, "557105302810669": 142, "552377462387085": 142, "5477032661437988": 142, "5429894924163818": 142, "5384292602539062": 142, "534010887145996": 142, "5295555591583252": 142, "525148868560791": 142, "5207915306091309": 142, "5164821147918701": 142, "512220859527588": 142, "5080065727233887": 142, "5038368701934814": 142, "4996962547302246": 142, "495619297027588": 142, "4915852546691895": 142, "4867196083068848": 142, "4827725887298584": 142, "4788663387298584": 142, "4750025272369385": 142, "4711782932281494": 142, "4673793315887451": 142, "463637351989746": 142, "4597206115722656": 142, "4560582637786865": 142, "4524333477020264": 142, "4488444328308105": 142, "4452922344207764": 142, "4417760372161865": 142, "4382944107055664": 142, "434715747833252": 142, "4312915802001953": 142, "4279000759124756": 142, "4245412349700928": 142, "4212150573730469": 142, "4179203510284424": 142, "4146559238433838": 142, "4114232063293457": 142, "4082190990447998": 142, "4050450325012207": 142, "4018993377685547": 142, "3986122608184814": 142, "3955256938934326": 142, "392465591430664": 142, "3894317150115967": 142, "3864250183105469": 142, "3834447860717773": 142, "3804903030395508": 142, "3775608539581299": 142, "3746552467346191": 142, "3717741966247559": 142, "3689186573028564": 142, "3660855293273926": 142, "3632760047912598": 142, "360489845275879": 142, "35772705078125": 142, "3549866676330566": 142, "352269172668457": 142, "349574089050293": 142, "3469274044036865": 142, "3443269729614258": 142, "3417706489562988": 142, "3392589092254639": 142, "3367915153503418": 142, "3343663215637207": 142, "3319826126098633": 142, "329641342163086": 142, "3273401260375977": 142, "3250775337219238": 142, "32285475730896": 142, "3206708431243896": 142, "3185250759124756": 142, "3164141178131104": 142, "314340353012085": 142, "312438726425171": 142, "3102750778198242": 142, "3083038330078125": 142, "3063669204711914": 142, "3046092987060547": 142, "302734136581421": 142, "3008923530578613": 142, "2990798950195312": 142, "2972984313964844": 142, "2954707145690918": 142, "2937486171722412": 142, "2920546531677246": 142, "2903897762298584": 142, "288752555847168": 142, "287142276763916": 142, "2855570316314697": 142, "283998966217041": 142, "2824652194976807": 142, "2808442115783691": 142, "2793622016906738": 142, "2776288986206055": 142, "2761869430541992": 142, "2747693061828613": 142, "2733736038208008": 142, "272000789642334": 142, "27064847946167": 142, "2693171501159668": 142, "2679994106292725": 142, "2667090892791748": 142, "2654402256011963": 142, "2641918659210205": 142, "2626941204071045": 142, "2614822387695312": 142, "2602818012237549": 142, "259105920791626": 142, "2579503059387207": 142, "2568111419677734": 142, "2556884288787842": 142, "2545835971832275": 142, "253495454788208": 142, "2524218559265137": 142, "2513649463653564": 142, "2503230571746826": 142, "249295949935913": 142, "248284101486206": 142, "2472853660583496": 142, "2465460300445557": 142, "245577096939087": 142, "2446212768554688": 142, "2436788082122803": 142, "242748498916626": 142, "2424731254577637": 142, "241567611694336": 142, "2406761646270752": 142, "2397937774658203": 142, "2389233112335205": 142, "2380650043487549": 142, "2372145652770996": 142, "2363758087158203": 142, "2355449199676514": 142, "2347235679626465": 142, "2339117527008057": 142, "2331080436706543": 142, "2323353290557861": 142, "2315475940704346": 142, "2307672500610352": 142, "230018138885498": 142, "2289361953735352": 142, "2281763553619385": 142, "2274222373962402": 142, "226675271987915": 142, "2259340286254883": 142, "2251965999603271": 142, "224466323852539": 142, "2236597537994385": 142, "2229382991790771": 142, "2222225666046143": 142, "2215101718902588": 142, "22080397605896": 142, "2201006412506104": 142, "2194018363952637": 142, "2187073230743408": 142, "2180168628692627": 142, "2173278331756592": 142, "2164487838745117": 142, "2157695293426514": 142, "215043067932129": 142, "2143702507019043": 142, "2137012481689453": 142, "2130351066589355": 142, "212371826171875": 142, "2117104530334473": 142, "2110528945922852": 142, "2103972434997559": 142, "2097444534301758": 142, "209094762802124": 142, "208446979522705": 142, "2078015804290771": 142, "2071592807769775": 142, "2065186500549316": 142, "2058801651000977": 142, "205244779586792": 142, "2046115398406982": 142, "2039806842803955": 142, "2033519744873047": 142, "202725887298584": 142, "2021000385284424": 142, "2014782428741455": 142, "200857162475586": 142, "2002389430999756": 142, "199622631072998": 142, "199007511138916": 142, "1983959674835205": 142, "1977851390838623": 142, "1971755027770996": 142, "196568250656128": 142, "1959631443023682": 142, "1953589916229248": 142, "1947565078735352": 142, "1941547393798828": 142, "1935555934906006": 142, "1929571628570557": 142, "1923596858978271": 142, "1914830207824707": 142, "1908884048461914": 142, "1902947425842285": 142, "1897015571594238": 142, "1893796920776367": 142, "1887881755828857": 142, "1881968975067139": 142, "1876063346862793": 142, "1870160102844238": 142, "1864259243011475": 142, "1858360767364502": 142, "1852455139160156": 142, "1846563816070557": 142, "1840665340423584": 142, "1834774017333984": 142, "1828880310058594": 142, "1822986602783203": 142, "181708812713623": 142, "181119680404663": 142, "180530309677124": 142, "179940938949585": 142, "1793510913848877": 142, "1787619590759277": 142, "1781721115112305": 142, "1775825023651123": 142, "176992416381836": 142, "1764018535614014": 142, "175811529159546": 142, "1752212047576904": 142, "1746289730072021": 142, "1740388870239258": 142, "1734988689422607": 142, "1729066371917725": 142, "1723148822784424": 142, "171722650527954": 142, "171128511428833": 142, "1705338954925537": 142, "169938564300537": 142, "169342041015625": 142, "1687448024749756": 142, "1681461334228516": 142, "1675457954406738": 142, "166943073272705": 142, "16633939743042": 142, "1657326221466064": 142, "1651244163513184": 142, "164513111114502": 142, "1638994216918945": 142, "1632840633392334": 142, "1626648902893066": 142, "1623022556304932": 142, "161670446395874": 142, "1610352993011475": 142, "1603970527648926": 142, "1597540378570557": 142, "1591079235076904": 142, "1584570407867432": 142, "1578021049499512": 142, "1571428775787354": 142, "1564788818359375": 142, "0068605076521635056": 142, "003996438812464476": 142, "011148082092404366": 142, "0005715324077755213": 142, "005267731379717588": 142, "016613170504570007": 142, "004942920990288258": 142, "000941583130043": 142, "010249189101159573": 142, "037316497415304184": 142, "015637675300240517": 142, "015851184725761414": 142, "0009484127513132989": 142, "005532731767743826": 142, "009874126873910427": 142, "00038155465153977275": 142, "04091636836528778": 142, "014298928901553154": 142, "011280606500804424": 142, "02686077356338501": 142, "012216194532811642": 142, "0011471450561657548": 142, "01911056786775589": 142, "0038212640210986137": 142, "0010535061592236161": 142, "006272657308727503": 142, "009424974210560322": 142, "08283375203609467": 142, "11051499843597412": 142, "07087799161672592": 142, "004282243549823761": 142, "0941200852394104": 142, "09022349119186401": 142, "487694501876831": 142, "4833693504333496": 142, "994884490966797": 142, "014965109527111053": 142, "877644062042236": 142, "06610679626465": 142, "4249093532562256": 142, "320590972900391": 142, "06848907470703": 142, "206534385681152": 142, "4377920627593994": 142, "083051681518555": 142, "80477237701416": 142, "870761871337891": 142, "08320426940918": 142, "339598298072815": 142, "286642551422119": 142, "021684646606445": 142, "9623823165893555": 142, "4564828872680664": 142, "091882705688477": 142, "628171920776367": 142, "886539936065674": 142, "06281089782715": 142, "198191165924072": 142, "261371612548828": 142, "1002197265625": 142, "6702381372451782": 142, "295467495918274": 142, "715347290039062": 142, "1530592441558838": 142, "7588664293289185": 142, "002304077148438": 142, "0908544063568115": 142, "9270868301391602": 142, "911698818206787": 142, "8996734619140625": 142, "8881235122680664": 142, "876939058303833": 142, "8660163879394531": 142, "8560938835144043": 142, "84666109085083": 142, "8377857208251953": 142, "8293871879577637": 142, "821406364440918": 142, "813918113708496": 142, "806600570678711": 142, "7994108200073242": 142, "792719841003418": 142, "7861113548278809": 142, "7799639701843262": 142, "7737016677856445": 142, "7675762176513672": 142, "7615752220153809": 142, "7556827068328857": 142, "7498893737792969": 142, "7442147731781006": 142, "7385883331298828": 142, "7328345775604248": 142, "727323055267334": 142, "7218739986419678": 142, "7164785861968994": 142, "7111353874206543": 142, "7058439254760742": 142, "7005867958068848": 142, "6953680515289307": 142, "690187692642212": 142, "6850395202636719": 142, "679833173751831": 142, "6747450828552246": 142, "6696853637695312": 142, "6646497249603271": 142, "659637689590454": 142, "6546480655670166": 142, "6498992443084717": 142, "6449530124664307": 142, "6400258541107178": 142, "6351172924041748": 142, "6299951076507568": 142, "6251144409179688": 142, "6205708980560303": 142, "615725040435791": 142, "610896110534668": 142, "6061482429504395": 142, "6014118194580078": 142, "5966382026672363": 142, "5918819904327393": 142, "5871450901031494": 142, "5824251174926758": 142, "5777406692504883": 142, "5730628967285156": 142, "5684034824371338": 142, "5637602806091309": 142, "5591375827789307": 142, "5545308589935303": 142, "549943447113037": 142, "545578956604004": 142, "5406813621520996": 142, "5361449718475342": 142, "5316269397735596": 142, "5271306037902832": 142, "522653579711914": 142, "5181982517242432": 142, "513763189315796": 142, "5093507766723633": 142, "5049586296081543": 142, "5005898475646973": 142, "4962844848632812": 142, "4919631481170654": 142, "4876644611358643": 142, "4833900928497314": 142, "4791390895843506": 142, "4749135971069336": 142, "4707121849060059": 142, "466536045074463": 142, "4623866081237793": 142, "4582624435424805": 142, "4541637897491455": 142, "4500911235809326": 142, "4460980892181396": 142, "4421048164367676": 142, "4381153583526611": 142, "4341537952423096": 142, "430217981338501": 142, "4263107776641846": 142, "4224307537078857": 142, "4185786247253418": 142, "4147546291351318": 142, "410959243774414": 142, "4071900844573975": 142, "4034502506256104": 142, "3997406959533691": 142, "3960597515106201": 142, "3924081325531006": 142, "3886055946350098": 142, "3850123882293701": 142, "3814482688903809": 142, "3779144287109375": 142, "3744099140167236": 142, "3709361553192139": 142, "3677730560302734": 142, "3643579483032227": 142, "3609745502471924": 142, "3573484420776367": 142, "354024887084961": 142, "3507311344146729": 142, "347468614578247": 142, "3442363739013672": 142, "341033697128296": 142, "3378612995147705": 142, "334718942642212": 142, "3316068649291992": 142, "3285505771636963": 142, "3254964351654053": 142, "322472333908081": 142, "3194777965545654": 142, "3165130615234375": 142, "313577651977539": 142, "310671329498291": 142, "307793140411377": 142, "304943561553955": 142, "302123785018921": 142, "2989208698272705": 142, "2961552143096924": 142, "2934181690216064": 142, "2907109260559082": 142, "2880325317382812": 142, "285273790359497": 142, "282651424407959": 142, "2802026271820068": 142, "277639389038086": 142, "275104284286499": 142, "272599697113037": 142, "2701246738433838": 142, "2673346996307373": 142, "2649168968200684": 142, "262528896331787": 142, "2601685523986816": 142, "257836103439331": 142, "2555322647094727": 142, "2532553672790527": 142, "2510054111480713": 142, "2487831115722656": 142, "2465875148773193": 142, "2444183826446533": 142, "2422749996185303": 142, "240156888961792": 142, "2380638122558594": 142, "2359952926635742": 142, "2339503765106201": 142, "2319300174713135": 142, "2300243377685547": 142, "2285869121551514": 142, "2266278266906738": 142, "224839448928833": 142, "222923755645752": 142, "2210273742675781": 142, "2191524505615234": 142, "2172954082489014": 142, "2154583930969238": 142, "213639259338379": 142, "211883783340454": 142, "210099697113037": 142, "2083368301391602": 142, "2065906524658203": 142, "2048630714416504": 142, "2031524181365967": 142, "20145845413208": 142, "1997811794281006": 142, "1982767581939697": 142, "196643352508545": 142, "1950321197509766": 142, "1934430599212646": 142, "19187593460083": 142, "1903305053710938": 142, "1885647773742676": 142, "1870625019073486": 142, "185582160949707": 142, "1841208934783936": 142, "182680606842041": 142, "180999994277954": 142, "1796009540557861": 142, "178222417831421": 142, "176863193511963": 142, "1755235195159912": 142, "1742026805877686": 142, "1729011535644531": 142, "1716179847717285": 142, "1703529357910156": 142, "1688599586486816": 142, "1676311492919922": 142, "1664180755615234": 142, "1652214527130127": 142, "1640417575836182": 142, "162877082824707": 142, "161729097366333": 142, "160426139831543": 142, "1593081951141357": 142, "158205270767212": 142, "1560654640197754": 142, "1549978256225586": 142, "1539437770843506": 142, "1529021263122559": 142, "1518733501434326": 142, "1508569717407227": 142, "1498517990112305": 142, "148890495300293": 142, "1479084491729736": 142, "1471221446990967": 142, "1461610794067383": 142, "1452100276947021": 142, "14436674118042": 142, "1434340476989746": 142, "1425116062164307": 142, "141596794128418": 142, "1406912803649902": 142, "139794111251831": 142, "1389048099517822": 142, "138023853302002": 142, "137150526046753": 142, "1360981464385986": 142, "135239839553833": 142, "1343896389007568": 142, "1332745552062988": 142, "1324143409729004": 142, "131310224533081": 142, "1304872035980225": 142, "1296706199645996": 142, "1288607120513916": 142, "1280577182769775": 142, "1272618770599365": 142, "1263391971588135": 142, "1255533695220947": 142, "12477445602417": 142, "1240026950836182": 142, "123236894607544": 142, "1214523315429688": 142, "1207084655761719": 142, "1199703216552734": 142, "119239330291748": 142, "1184463500976562": 142, "1177306175231934": 142, "1170203685760498": 142, "1163179874420166": 142, "1156227588653564": 142, "1149353981018066": 142, "1142542362213135": 142, "1135807037353516": 142, "1129145622253418": 142, "1122562885284424": 142, "111604928970337": 142, "1108357906341553": 142, "1102001667022705": 142, "1093804836273193": 142, "1087605953216553": 142, "1081480979919434": 142, "107544183731079": 142, "106947898864746": 142, "1063594818115234": 142, "1057794094085693": 142, "1052067279815674": 142, "104642629623413": 142, "104085922241211": 142, "1035377979278564": 142, "1029975414276123": 142, "1024649143218994": 142, "101940631866455": 142, "1014244556427002": 142, "1009161472320557": 142, "1004149913787842": 142, "0999228954315186": 142, "0994377136230469": 142, "0989606380462646": 142, "0986692905426025": 142, "098210334777832": 142, "0977578163146973": 142, "0973124504089355": 142, "0968742370605469": 142, "0964438915252686": 142, "0960211753845215": 142, "0956034660339355": 142, "0951941013336182": 142, "0947911739349365": 142, "0943937301635742": 142, "0940029621124268": 142, "0936176776885986": 142, "0932385921478271": 142, "092808485031128": 142, "0924389362335205": 142, "0920748710632324": 142, "0917165279388428": 142, "0911998748779297": 142, "05353548750281334": 142, "026344843208789825": 142, "016254225745797157": 142, "022999389097094536": 142, "013441321440041065": 142, "007071683183312416": 142, "027620330452919006": 142, "00784676056355238": 142, "007028975989669561": 142, "02330472506582737": 142, "009559868834912777": 142, "008064971305429935": 142, "02318856492638588": 142, "013110984116792679": 142, "007910830900073051": 142, "01820104941725731": 142, "0066172657534480095": 142, "00421072356402874": 142, "0030060112476348877": 142, "021407688036561012": 142, "007707787677645683": 142, "020230010151863098": 142, "012631211429834366": 142, "009151201695203781": 142, "024162856861948967": 142, "001509685069322586": 142, "009180025197565556": 142, "017523765563964844": 142, "04983619228005409": 142, "008753842674195766": 142, "06944775581359863": 142, "012331366539001465": 142, "044097062200307846": 142, "3994011878967285": 142, "4299991130828857": 142, "035106658935547": 142, "01486779935657978": 142, "865784168243408": 142, "06756591796875": 142, "4152721166610718": 142, "276949882507324": 142, "038280487060547": 142, "259206295013428": 142, "4012839794158936": 142, "14261817932129": 142, "8278212547302246": 142, "877509593963623": 142, "047861099243164": 142, "4414749145507812": 142, "28722620010376": 142, "04371452331543": 142, "080122470855713": 142, "425976037979126": 142, "053491592407227": 142, "658099174499512": 142, "8678388595581055": 142, "050994873046875": 142, "242753982543945": 142, "308332920074463": 142, "061717987060547": 142, "935588836669922": 142, "088742971420288": 142, "098329544067383": 142, "530621528625488": 142, "3497810363769531": 142, "351070404052734": 142, "0413625240325928": 142, "368417501449585": 142, "3607063293457031": 142, "3534910678863525": 142, "3464391231536865": 142, "3396809101104736": 142, "3332023620605469": 142, "3269710540771484": 142, "3209595680236816": 142, "315145492553711": 142, "3094336986541748": 142, "3039538860321045": 142, "298619031906128": 142, "2934131622314453": 142, "2883281707763672": 142, "2833549976348877": 142, "2784888744354248": 142, "27372407913208": 142, "2689523696899414": 142, "2643928527832031": 142, "2599377632141113": 142, "2555861473083496": 142, "2513389587402344": 142, "2471966743469238": 142, "2431600093841553": 142, "2391371726989746": 142, "2353127002716064": 142, "2315905094146729": 142, "227876901626587": 142, "2245395183563232": 142, "2211227416992188": 142, "217804193496704": 142, "2145819664001465": 142, "2112464904785156": 142, "208225965499878": 142, "205291986465454": 142, "2024435997009277": 142, "1996827125549316": 142, "1970067024230957": 142, "194676160812378": 142, "192169189453125": 142, "1897361278533936": 142, "1873791217803955": 142, "184922695159912": 142, "1827120780944824": 142, "1807334423065186": 142, "1786563396453857": 142, "1766433715820312": 142, "1746931076049805": 142, "1728034019470215": 142, "1709721088409424": 142, "1691977977752686": 142, "1674752235412598": 142, "1658055782318115": 142, "164184808731079": 142, "162611722946167": 142, "161083698272705": 142, "1595993041992188": 142, "1581573486328125": 142, "1568341255187988": 142, "1554696559906006": 142, "1541359424591064": 142, "1528453826904297": 142, "1515896320343018": 142, "150367021560669": 142, "1491773128509521": 142, "1480190753936768": 142, "1468925476074219": 142, "1457951068878174": 142, "1447272300720215": 142, "1436867713928223": 142, "1426734924316406": 142, "141688585281372": 142, "1407294273376465": 142, "1397960186004639": 142, "1388883590698242": 142, "1380071640014648": 142, "137148380279541": 142, "1363160610198975": 142, "1355078220367432": 142, "13472318649292": 142, "133962869644165": 142, "133225917816162": 142, "1325123310089111": 142, "131821870803833": 142, "1311540603637695": 142, "130506992340088": 142, "1298820972442627": 142, "1292777061462402": 142, "1286916732788086": 142, "1281254291534424": 142, "127575397491455": 142, "127042293548584": 142, "1265251636505127": 142, "126023292541504": 142, "1255362033843994": 142, "125063419342041": 142, "1246042251586914": 142, "1239228248596191": 142, "1235053539276123": 142, "1230120658874512": 142, "122563362121582": 142, "122248888015747": 142, "1218652725219727": 142, "121492862701416": 142, "1211309432983398": 142, "1207771301269531": 142, "1204323768615723": 142, "119933843612671": 142, "1196010112762451": 142, "119272232055664": 142, "1189460754394531": 142, "1186223030090332": 142, "1182489395141602": 142, "1179275512695312": 142, "1176049709320068": 142, "1172807216644287": 142, "1169557571411133": 142, "1166284084320068": 142, "1162991523742676": 142, "1159675121307373": 142, "1158089637756348": 142, "115466833114624": 142, "1151204109191895": 142, "1148204803466797": 142, "1144678592681885": 142, "1141130924224854": 142, "1137547492980957": 142, "113382339477539": 142, "1128132343292236": 142, "1124484539031982": 142, "1120822429656982": 142, "1117138862609863": 142, "1113433837890625": 142, "1109707355499268": 142, "1105973720550537": 142, "1102850437164307": 142, "1099109649658203": 142, "1095356941223145": 142, "1091606616973877": 142, "1087851524353027": 142, "1084096431732178": 142, "1080348491668701": 142, "1076595783233643": 142, "1071786880493164": 142, "1068034172058105": 142, "1064283847808838": 142, "106053113937378": 142, "105412244796753": 142, "1050386428833008": 142, "1046667098999023": 142, "104295253753662": 142, "10392427444458": 142, "103553295135498": 142, "1031835079193115": 142, "102687120437622": 142, "1023931503295898": 142, "1017296314239502": 142, "101351261138916": 142, "1009724140167236": 142, "1005921363830566": 142, "1002109050750732": 142, "0998287200927734": 142, "0994455814361572": 142, "0990610122680664": 142, "0986742973327637": 142, "0982861518859863": 142, "0978949069976807": 142, "097501516342163": 142, "0971040725708008": 142, "0967042446136475": 142, "0963006019592285": 142, "0958924293518066": 142, "0954806804656982": 142, "095064401626587": 142, "0946435928344727": 142, "0942180156707764": 142, "0937881469726562": 142, "0933520793914795": 142, "0928549766540527": 142, "0924100875854492": 142, "0919620990753174": 142, "091508388519287": 142, "0910508632659912": 142, "0905897617340088": 142, "0901234149932861": 142, "0891625881195068": 142, "0886857509613037": 142, "0882060527801514": 142, "0877249240875244": 142, "0870721340179443": 142, "08658766746521": 142, "085974931716919": 142, "0854885578155518": 142, "0848329067230225": 142, "0844519138336182": 142, "083967685699463": 142, "0834848880767822": 142, "0830044746398926": 142, "0825247764587402": 142, "082129716873169": 142, "0816552639007568": 142, "0811858177185059": 142, "0807194709777832": 142, "080256700515747": 142, "0797984600067139": 142, "0792973041534424": 142, "078848123550415": 142, "078319787979126": 142, "077894687652588": 142, "0774595737457275": 142, "0769550800323486": 142, "076484203338623": 142, "076061725616455": 142, "0756406784057617": 142, "0752246379852295": 142, "0747036933898926": 142, "0743002891540527": 142, "0738990306854248": 142, "0735447406768799": 142, "073145866394043": 142, "0727462768554688": 142, "0723488330841064": 142, "0719516277313232": 142, "071554183959961": 142, "0709757804870605": 142, "0705757141113281": 142, "0701746940612793": 142, "0697579383850098": 142, "0693285465240479": 142, "0691328048706055": 142, "0687246322631836": 142, "068314552307129": 142, "0679028034210205": 142, "0674891471862793": 142, "0671601295471191": 142, "0667407512664795": 142, "0663201808929443": 142, "0676589012145996": 142, "0673000812530518": 142, "0668599605560303": 142, "066420078277588": 142, "06597900390625": 142, "0655369758605957": 142, "065094232559204": 142, "0646514892578125": 142, "0642077922821045": 142, "063762903213501": 142, "0633199214935303": 142, "062878131866455": 142, "0624370574951172": 142, "0619959831237793": 142, "061556339263916": 142, "0611183643341064": 142, "0606820583343506": 142, "0602481365203857": 142, "0598170757293701": 142, "05938720703125": 142, "0589613914489746": 142, "058537483215332": 142, "0581169128417969": 142, "0576984882354736": 142, "0572829246520996": 142, "0568697452545166": 142, "0564589500427246": 142, "0560505390167236": 142, "0557172298431396": 142, "0553126335144043": 142, "0549092292785645": 142, "0545084476470947": 142, "0541083812713623": 142, "053710699081421": 142, "0533132553100586": 142, "053006887435913": 142, "0526118278503418": 142, "0522191524505615": 142, "0518279075622559": 142, "051225185394287": 142, "0508382320404053": 142, "0504534244537354": 142, "0500695705413818": 142, "0496878623962402": 142, "0493087768554688": 142, "0489311218261719": 142, "0485541820526123": 142, "048180341720581": 142, "047044038772583": 142, "0466458797454834": 142, "0462093353271484": 142, "045811653137207": 142, "0454835891723633": 142, "045090913772583": 142, "0446994304656982": 142, "0443120002746582": 142, "0439269542694092": 142, "0435428619384766": 142, "043161153793335": 142, "0424680709838867": 142, "0420989990234375": 142, "0417304039001465": 142, "01274590753018856": 142, "0008660631137900054": 142, "534010779228993e": 142, "004490843042731285": 142, "0009481356246396899": 142, "006019380874931812": 142, "0017992539796978235": 142, "0007907379767857492": 142, "005183983128517866": 142, "0009525847854092717": 142, "011627527885138988": 142, "0022037974558770657": 142, "007539249956607819": 142, "001914086751639843": 142, "0005333839799277484": 142, "004978526383638382": 142, "0008379280334338546": 142, "002556858118623495": 142, "0025179055519402027": 142, "0023777917958796024": 142, "003440059954300523": 142, "0010784192709252238": 142, "005053498782217503": 142, "0036988435313105583": 142, "004537572152912617": 142, "0009402877185493708": 142, "006327509414404631": 142, "08323220163583755": 142, "10444507747888565": 142, "015970837324857712": 142, "0008638501749373972": 142, "0497204065322876": 142, "028490807861089706": 142, "389215350151062": 142, "5229177474975586": 142, "0406436920166": 142, "024743668735027313": 142, "995599746704102": 142, "046234130859375": 142, "4175328016281128": 142, "437489032745361": 142, "07314682006836": 142, "238280773162842": 142, "526803731918335": 142, "04250144958496": 142, "8123977184295654": 142, "005141735076904": 142, "127506256103516": 142, "3960859775543213": 142, "451930999755859": 142, "05776023864746": 142, "045961856842041": 142, "5506410598754883": 142, "070981979370117": 142, "6520609855651855": 142, "996129035949707": 142, "046344757080078": 142, "231222152709961": 142, "4509968757629395": 142, "05940818786621": 142, "7760584354400635": 142, "759902000427246": 142, "112329483032227": 142, "7754526138305664": 142, "654918670654297": 142, "50983428955078": 142, "0085608959197998": 142, "1581623554229736": 142, "1493771076202393": 142, "1416678428649902": 142, "1338496208190918": 142, "1262147426605225": 142, "1188023090362549": 142, "1116013526916504": 142, "1045951843261719": 142, "0977802276611328": 142, "0911517143249512": 142, "0847055912017822": 142, "078437328338623": 142, "0723443031311035": 142, "0664241313934326": 142, "060675859451294": 142, "0552303791046143": 142, "0502970218658447": 142, "0458061695098877": 142, "0419514179229736": 142, "0381975173950195": 142, "034752368927002": 142, "0315890312194824": 142, "028684139251709": 142, "0260155200958252": 142, "023700475692749": 142, "0214695930480957": 142, "0194132328033447": 142, "0157849788665771": 142, "014204740524292": 142, "0127544403076172": 142, "0114212036132812": 142, "010193109512329": 142, "009056568145752": 142, "0080029964447021": 142, "0070202350616455": 142, "0060999393463135": 142, "0052318572998047": 142, "004408359527588": 142, "0036227703094482": 142, "0028667449951172": 142, "0021371841430664": 142, "0014288425445557": 142, "0007374286651611": 142, "0000617504119873": 142, "9994001984596252": 142, "9987538456916809": 142, "9981233477592468": 142, "9975133538246155": 142, "996924102306366": 142, "9963615536689758": 142, "9958286881446838": 142, "9953277707099915": 142, "9948627352714539": 142, "9944326281547546": 142, "9940407872200012": 142, "9936855435371399": 142, "9933646321296692": 142, "9930803179740906": 142, "992827832698822": 142, "9926943182945251": 142, "9925026297569275": 142, "9923377633094788": 142, "9921981692314148": 142, "9920818209648132": 142, "9919891953468323": 142, "9919158816337585": 142, "9917410016059875": 142, "9917085766792297": 142, "991693913936615": 142, "9916955828666687": 142, "991717517375946": 142, "9913851618766785": 142, "9914029240608215": 142, "9913648962974548": 142, "991445004940033": 142, "9915377497673035": 142, "9916455149650574": 142, "9917657971382141": 142, "9918981194496155": 142, "9920410513877869": 142, "9921955466270447": 142, "9923614859580994": 142, "9925366044044495": 142, "99272221326828": 142, "9927658438682556": 142, "9929718375205994": 142, "9931866526603699": 142, "9930111765861511": 142, "9932687878608704": 142, "9925795197486877": 142, "9928142428398132": 142, "9930670857429504": 142, "9933298230171204": 142, "9937062859535217": 142, "9939890503883362": 142, "994283139705658": 142, "9945858120918274": 142, "9949011206626892": 142, "9952269196510315": 142, "9954107403755188": 142, "9957614541053772": 142, "9961207509040833": 142, "9964675307273865": 142, "9968497157096863": 142, "9966959357261658": 142, "9970929026603699": 142, "9975168108940125": 142, "9979544281959534": 142, "9984063506126404": 142, "9988768696784973": 142, "999359667301178": 142, "9996948838233948": 142, "000208854675293": 142, "000739574432373": 142, "0012271404266357": 142, "0017848014831543": 142, "0023541450500488": 142, "0029380321502686": 142, "0035324096679688": 142, "0041658878326416": 142, "0047821998596191": 142, "0054075717926025": 142, "0060324668884277": 142, "0067050457000732": 142, "0073542594909668": 142, "0080101490020752": 142, "0081861019134521": 142, "008854866027832": 142, "0095248222351074": 142, "0101985931396484": 142, "0108871459960938": 142, "0114989280700684": 142, "0121710300445557": 142, "0128426551818848": 142, "0135109424591064": 142, "0141284465789795": 142, "0147898197174072": 142, "0154151916503906": 142, "015852928161621": 142, "0164999961853027": 142, "017141342163086": 142, "0177772045135498": 142, "0184078216552734": 142, "0190320014953613": 142, "0195724964141846": 142, "020183801651001": 142, "0207886695861816": 142, "0213878154754639": 142, "0219807624816895": 142, "0225656032562256": 142, "023195743560791": 142, "0236856937408447": 142, "0242562294006348": 142, "0248472690582275": 142, "0254037380218506": 142, "0259630680084229": 142, "02650785446167": 142, "0269153118133545": 142, "0271046161651611": 142, "0274856090545654": 142, "0279912948608398": 142, "0283164978027344": 142, "0287718772888184": 142, "0292339324951172": 142, "029578685760498": 142, "0300054550170898": 142, "0304558277130127": 142, "0308425426483154": 142, "0311567783355713": 142, "0315721035003662": 142, "0321338176727295": 142, "0323257446289062": 142, "0325961112976074": 142, "0323104858398438": 142, "0325398445129395": 142, "0327436923980713": 142, "0329210758209229": 142, "0330722332000732": 142, "033198356628418": 142, "033299207687378": 142, "0333735942840576": 142, "0332322120666504": 142, "033069372177124": 142, "033496379852295": 142, "0334830284118652": 142, "0334455966949463": 142, "0333869457244873": 142, "0337855815887451": 142, "0337858200073242": 142, "033668041229248": 142, "033449649810791": 142, "033292531967163": 142, "0331175327301025": 142, "032928228378296": 142, "0327227115631104": 142, "0325050354003906": 142, "032273530960083": 142, "0320298671722412": 142, "0317771434783936": 142, "0321757793426514": 142, "0319018363952637": 142, "0316226482391357": 142, "0313351154327393": 142, "0310404300689697": 142, "03074049949646": 142, "0304343700408936": 142, "0301244258880615": 142, "029810905456543": 142, "029803991317749": 142, "029489517211914": 142, "0291717052459717": 142, "0288519859313965": 142, "0285334587097168": 142, "028212547302246": 142, "0278923511505127": 142, "0275697708129883": 142, "0272469520568848": 142, "026925802230835": 142, "0266070365905762": 142, "0262892246246338": 142, "0259730815887451": 142, "0256597995758057": 142, "02534818649292": 142, "0250401496887207": 142, "0247337818145752": 142, "0245275497436523": 142, "0242269039154053": 142, "0239267349243164": 142, "0236313343048096": 142, "0233385562896729": 142, "0230510234832764": 142, "0227651596069336": 142, "0224814414978027": 142, "0222032070159912": 142, "022057294845581": 142, "0217852592468262": 142, "0215153694152832": 142, "0212438106536865": 142, "0209743976593018": 142, "0207085609436035": 142, "0204455852508545": 142, "020185947418213": 142, "0199289321899414": 142, "0196738243103027": 142, "0196514129638672": 142, "0193939208984375": 142, "0191452503204346": 142, "0188989639282227": 142, "0186564922332764": 142, "018416166305542": 142, "0181801319122314": 142, "0179457664489746": 142, "0177135467529297": 142, "0174853801727295": 142, "0172600746154785": 142, "0170366764068604": 142, "0164504051208496": 142, "0162324905395508": 142, "0162672996520996": 142, "0160539150238037": 142, "0158519744873047": 142, "0156443119049072": 142, "0154385566711426": 142, "015235185623169": 142, "0148038864135742": 142, "0146000385284424": 142, "0143978595733643": 142, "0141971111297607": 142, "0139973163604736": 142, "0135562419891357": 142, "0133554935455322": 142, "012970209121704": 142, "0127687454223633": 142, "0125677585601807": 142, "0123672485351562": 142, "0121667385101318": 142, "011967420578003": 142, "0117664337158203": 142, "011559009552002": 142, "0110414028167725": 142, "010847568511963": 142, "0106534957885742": 142, "0104048252105713": 142, "0103154182434082": 142, "0101182460784912": 142, "0099208354949951": 142, "0099396705627441": 142, "009737253189087": 142, "009535312652588": 142, "009333610534668": 142, "0091314315795898": 142, "00892972946167": 142, "0085701942443848": 142, "0092105865478516": 142, "0090174674987793": 142, "0088231563568115": 142, "0086848735809326": 142, "0087599754333496": 142, "008800247684121132": 142, "04437003657221794": 142, "002851107157766819": 142, "005976609420031309": 142, "05552220717072487": 142, "0011575386160984635": 142, "001813638722524047": 142, "05384543538093567": 142, "00596570922061801": 142, "0035141627304255962": 142, "0459245964884758": 142, "00414308113977313": 142, "009497688151896": 142, "03861771151423454": 142, "03605208173394203": 142, "00039006758015602827": 142, "054619502276182175": 142, "003078714245930314": 142, "0027449585031718016": 142, "05383266881108284": 142, "006518018431961536": 142, "0012859496055170894": 142, "056483957916498184": 142, "00039768777787685394": 142, "006215909030288458": 142, "054536886513233185": 142, "0039749713614583015": 142, "018458878621459007": 142, "036896541714668274": 142, "04084618389606476": 142, "00258532352745533": 142, "04862070083618164": 142, "0025310488417744637": 142, "4524245262145996": 142, "4345083236694336": 142, "067718505859375": 142, "06024350970983505": 142, "876763343811035": 142, "3602203130722046": 142, "336528778076172": 142, "04408073425293": 142, "264213562011719": 142, "4187517166137695": 142, "048505783081055": 142, "845005989074707": 142, "880022048950195": 142, "047330856323242": 142, "4520725011825562": 142, "319533348083496": 142, "0698184967041": 142, "10308313369751": 142, "4165635108947754": 142, "051401138305664": 142, "691105842590332": 142, "864760875701904": 142, "131263732910156": 142, "260556697845459": 142, "337784290313721": 142, "04411506652832": 142, "758368968963623": 142, "945658206939697": 142, "12856674194336": 142, "8303171396255493": 142, "75811243057251": 142, "384904861450195": 142, "9985865950584412": 142, "7210500240325928": 142, "710519790649414": 142, "7023320198059082": 142, "694654941558838": 142, "6866662502288818": 142, "6788156032562256": 142, "6710810661315918": 142, "6635651588439941": 142, "6559929847717285": 142, "6484732627868652": 142, "6408836841583252": 142, "633427619934082": 142, "6259880065917969": 142, "6185626983642578": 142, "611144781112671": 142, "6037321090698242": 142, "5963225364685059": 142, "5890088081359863": 142, "581613302230835": 142, "5742321014404297": 142, "566864252090454": 142, "559516191482544": 142, "552189588546753": 142, "544914960861206": 142, "5376405715942383": 142, "5303425788879395": 142, "5231258869171143": 142, "5159637928009033": 142, "5088081359863281": 142, "5016872882843018": 142, "4945995807647705": 142, "48756742477417": 142, "480555772781372": 142, "4735827445983887": 142, "4666473865509033": 142, "459749460220337": 142, "4528899192810059": 142, "4460713863372803": 142, "4392967224121094": 142, "4325644969940186": 142, "4258761405944824": 142, "419213056564331": 142, "4126110076904297": 142, "4060566425323486": 142, "3995521068572998": 142, "3930981159210205": 142, "3866958618164062": 142, "3803493976593018": 142, "3740582466125488": 142, "367821455001831": 142, "361640214920044": 142, "3555140495300293": 142, "3494453430175781": 142, "3435475826263428": 142, "337594985961914": 142, "3315589427947998": 142, "3257222175598145": 142, "3199446201324463": 142, "3142268657684326": 142, "3085682392120361": 142, "3027913570404053": 142, "297255277633667": 142, "291780710220337": 142, "2863678932189941": 142, "281017541885376": 142, "2758872509002686": 142, "2706704139709473": 142, "2655174732208252": 142, "260434627532959": 142, "2562673091888428": 142, "2514488697052002": 142, "2466318607330322": 142, "2419037818908691": 142, "2372562885284424": 142, "2326858043670654": 142, "2280476093292236": 142, "223633050918579": 142, "21929931640625": 142, "21504545211792": 142, "2108678817749023": 142, "2067692279815674": 142, "2024376392364502": 142, "198486328125": 142, "1945226192474365": 142, "1907150745391846": 142, "1869792938232422": 142, "1830437183380127": 142, "1794466972351074": 142, "175917387008667": 142, "1726412773132324": 142, "1692471504211426": 142, "165924072265625": 142, "1626641750335693": 142, "159468173980713": 142, "1563396453857422": 142, "153275728225708": 142, "1502773761749268": 142, "147343635559082": 142, "1444754600524902": 142, "1416709423065186": 142, "1389296054840088": 142, "136277675628662": 142, "1336677074432373": 142, "1311206817626953": 142, "1286380290985107": 142, "1262164115905762": 142, "123844861984253": 142, "1215441226959229": 142, "1195743083953857": 142, "11738920211792": 142, "1151037216186523": 142, "113029956817627": 142, "1110117435455322": 142, "1090476512908936": 142, "1069014072418213": 142, "1050403118133545": 142, "1033384799957275": 142, "1027264595031738": 142, "100893497467041": 142, "0992321968078613": 142, "0976159572601318": 142, "0962722301483154": 142, "094738245010376": 142, "0932464599609375": 142, "0917901992797852": 142, "0903723239898682": 142, "0889925956726074": 142, "0876457691192627": 142, "0863335132598877": 142, "0850536823272705": 142, "0838065147399902": 142, "0825903415679932": 142, "081404209136963": 142, "0802476406097412": 142, "0791208744049072": 142, "078019618988037": 142, "0769927501678467": 142, "0759482383728027": 142, "0749287605285645": 142, "0739367008209229": 142, "072969913482666": 142, "072028398513794": 142, "071112871170044": 142, "0702216625213623": 142, "0692667961120605": 142, "0684270858764648": 142, "0676088333129883": 142, "0668132305145264": 142, "0660419464111328": 142, "0653350353240967": 142, "0646052360534668": 142, "0638959407806396": 142, "063204288482666": 142, "0625317096710205": 142, "0618195533752441": 142, "0611763000488281": 142, "0606689453125": 142, "059859275817871": 142, "0592529773712158": 142, "0586566925048828": 142, "0580687522888184": 142, "057504415512085": 142, "0569310188293457": 142, "0563623905181885": 142, "0557963848114014": 142, "0552334785461426": 142, "054710865020752": 142, "0530750751495361": 142, "0524826049804688": 142, "051898717880249": 142, "0513169765472412": 142, "050611972808838": 142, "0500354766845703": 142, "0494604110717773": 142, "048887014389038": 142, "0483155250549316": 142, "047746181488037": 142, "0471785068511963": 142, "0466132164001465": 142, "046050786972046": 142, "0453221797943115": 142, "0447609424591064": 142, "0442028045654297": 142, "0436458587646484": 142, "043092966079712": 142, "0425443649291992": 142, "0419971942901611": 142, "041454792022705": 142, "0409142971038818": 142, "0403759479522705": 142, "039841890335083": 142, "0393109321594238": 142, "0387823581695557": 142, "0382583141326904": 142, "0377366542816162": 142, "037217378616333": 142, "036700963973999": 142, "0361855030059814": 142, "0357251167297363": 142, "0352153778076172": 142, "0347075462341309": 142, "0342023372650146": 142, "033890724182129": 142, "033390998840332": 142, "0328927040100098": 142, "0325393676757812": 142, "0320477485656738": 142, "0313591957092285": 142, "030869722366333": 142, "0303819179534912": 142, "0298967361450195": 142, "0294129848480225": 142, "0289311408996582": 142, "0284521579742432": 142, "0279762744903564": 142, "0275018215179443": 142, "0268075466156006": 142, "0263359546661377": 142, "025867223739624": 142, "0254008769989014": 142, "0249366760253906": 142, "0244746208190918": 142, "0240137577056885": 142, "0235581398010254": 142, "0231025218963623": 142, "0226526260375977": 142, "022202491760254": 142, "0217559337615967": 142, "0213603973388672": 142, "020920991897583": 142, "0204830169677734": 142, "0200490951538086": 142, "0196166038513184": 142, "019188404083252": 142, "0187618732452393": 142, "0183391571044922": 142, "0179188251495361": 142, "017503261566162": 142, "0170884132385254": 142, "016676664352417": 142, "0162689685821533": 142, "015864372253418": 142, "015465497970581": 142, "0150682926177979": 142, "0146770477294922": 142, "0142862796783447": 142, "0139014720916748": 142, "0134105682373047": 142, "013031005859375": 142, "012655258178711": 142, "0122859477996826": 142, "0119197368621826": 142, "0112593173980713": 142, "010899543762207": 142, "0105462074279785": 142, "0101966857910156": 142, "0098505020141602": 142, "0095088481903076": 142, "0091333389282227": 142, "0087993144989014": 142, "0084681510925293": 142, "008141040802002": 142, "0075621604919434": 142, "0072407722473145": 142, "0069239139556885": 142, "0066096782684326": 142, "0062997341156006": 142, "005993366241455": 142, "0056922435760498": 142, "0053925514221191": 142, "005096435546875": 142, "004894733428955": 142, "004605770111084": 142, "004317283630371": 142, "0040316581726074": 142, "0037500858306885": 142, "0034699440002441": 142, "0031938552856445": 142, "0029191970825195": 142, "0026471614837646": 142, "002377986907959": 142, "0021114349365234": 142, "001847267150879": 142, "0015861988067627": 142, "0013272762298584": 142, "0010695457458496": 142, "000814437866211": 142, "000560998916626": 142, "000309705734253": 142, "0000600814819336": 142, "9998123049736023": 142, "9997363686561584": 142, "000260829925537": 142, "0000171661376953": 142, "9997771382331848": 142, "9995360970497131": 142, "9992988705635071": 142, "9990594983100891": 142, "9988225102424622": 142, "013411665335297585": 142, "0002111347421305254": 142, "0029673913959413767": 142, "01074707880616188": 142, "0034299842081964016": 142, "004265200346708298": 142, "013790059834718704": 142, "001107124495320022": 142, "0005563804879784584": 142, "01421736553311348": 142, "0013486959505826235": 142, "0032477732747793198": 142, "01556047610938549": 142, "00016930564015638083": 142, "004709565546363592": 142, "012554412707686424": 142, "00083015242125839": 142, "0028114872984588146": 142, "013050380162894726": 142, "0014870398445054889": 142, "004045058041810989": 142, "0020642075687646866": 142, "141737761325203e": 142, "0092634167522192": 142, "013484434224665165": 142, "0015608497196808457": 142, "0014825622783973813": 142, "017458351328969002": 142, "0126930708065629": 142, "00280608213506639": 142, "026626013219356537": 142, "00019302820146549493": 142, "0560268834233284": 142, "4039808511734009": 142, "4423305988311768": 142, "125877380371094": 142, "0025534317828714848": 142, "914475440979004": 142, "04901123046875": 142, "3883644342422485": 142, "321804046630859": 142, "047868728637695": 142, "257045745849609": 142, "453228712081909": 142, "043834686279297": 142, "8406264781951904": 142, "905831813812256": 142, "041540145874023": 142, "424249529838562": 142, "339756965637207": 142, "06561851501465": 142, "041261672973633": 142, "4549100399017334": 142, "045997619628906": 142, "654914379119873": 142, "894903182983398": 142, "068893432617188": 142, "234673023223877": 142, "3173909187316895": 142, "047378540039062": 142, "3880400657653809": 142, "448349952697754": 142, "12500762939453": 142, "2087271213531494": 142, "915229082107544": 142, "389169692993164": 142, "9976685643196106": 142, "6869969367980957": 142, "6770713329315186": 142, "6679296493530273": 142, "6588284969329834": 142, "64988374710083": 142, "6410987377166748": 142, "6324677467346191": 142, "6239650249481201": 142, "615534782409668": 142, "6070764064788818": 142, "598722219467163": 142, "5904796123504639": 142, "5822720527648926": 142, "574096441268921": 142, "565943956375122": 142, "5578157901763916": 142, "5497074127197266": 142, "5416204929351807": 142, "5335640907287598": 142, "5255379676818848": 142, "5175447463989258": 142, "5095915794372559": 142, "5016767978668213": 142, "4938042163848877": 142, "4859719276428223": 142, "4781863689422607": 142, "4704456329345703": 142, "462754249572754": 142, "4551143646240234": 142, "447523593902588": 142, "4399843215942383": 142, "4325003623962402": 142, "425069808959961": 142, "4176926612854004": 142, "4103717803955078": 142, "403109073638916": 142, "3959076404571533": 142, "3887672424316406": 142, "381687879562378": 142, "3746776580810547": 142, "3677282333374023": 142, "3608717918395996": 142, "3541054725646973": 142, "3474304676055908": 142, "3408479690551758": 142, "334355115890503": 142, "3279550075531006": 142, "321643590927124": 142, "315424919128418": 142, "3092966079711914": 142, "3032593727111816": 142, "2973103523254395": 142, "2914516925811768": 142, "2856810092926025": 142, "280104398727417": 142, "2744972705841064": 142, "268977403640747": 142, "2635390758514404": 142, "2581846714019775": 142, "252913475036621": 142, "2477233409881592": 142, "242762565612793": 142, "237736463546753": 142, "2327957153320312": 142, "2231721878051758": 142, "218567132949829": 142, "2139692306518555": 142, "2094554901123047": 142, "2050282955169678": 142, "200655460357666": 142, "1964020729064941": 142, "1922328472137451": 142, "1881451606750488": 142, "1841473579406738": 142, "1802318096160889": 142, "1763122081756592": 142, "1725635528564453": 142, "1688928604125977": 142, "1655840873718262": 142, "1620736122131348": 142, "158637523651123": 142, "1551494598388672": 142, "151860237121582": 142, "148641586303711": 142, "1454944610595703": 142, "142418384552002": 142, "1394939422607422": 142, "1365573406219482": 142, "1336877346038818": 142, "1308856010437012": 142, "1284856796264648": 142, "1258137226104736": 142, "1232073307037354": 142, "1210541725158691": 142, "1185612678527832": 142, "1161303520202637": 142, "1137604713439941": 142, "1114513874053955": 142, "1092040538787842": 142, "1070165634155273": 142, "1048874855041504": 142, "1028201580047607": 142, "10080885887146": 142, "0988514423370361": 142, "0969500541687012": 142, "0950067043304443": 142, "0932106971740723": 142, "0914676189422607": 142, "089686393737793": 142, "0880415439605713": 142, "0864448547363281": 142, "0848963260650635": 142, "0836889743804932": 142, "082230567932129": 142, "0808160305023193": 142, "0794451236724854": 142, "0780718326568604": 142, "0767817497253418": 142, "0755300521850586": 142, "0743181705474854": 142, "0731418132781982": 142, "0719995498657227": 142, "0708916187286377": 142, "0698165893554688": 142, "0687732696533203": 142, "0677578449249268": 142, "0667710304260254": 142, "0658116340637207": 142, "064878225326538": 142, "0639679431915283": 142, "0630812644958496": 142, "0622193813323975": 142, "0613865852355957": 142, "0598492622375488": 142, "0590226650238037": 142, "0582177639007568": 142, "0574321746826172": 142, "056663990020752": 142, "0559144020080566": 142, "0551838874816895": 142, "054448127746582": 142, "053750991821289": 142, "053070068359375": 142, "0524013042449951": 142, "0517480373382568": 142, "0511648654937744": 142, "0504298210144043": 142, "0498123168945312": 142, "0492048263549805": 142, "0486085414886475": 142, "048020601272583": 142, "047438144683838": 142, "0468649864196777": 142, "0462956428527832": 142, "045731544494629": 142, "046417236328125": 142, "0458595752716064": 142, "0453033447265625": 142, "0447521209716797": 142, "0436556339263916": 142, "042872667312622": 142, "042330026626587": 142, "0417907238006592": 142, "041252851486206": 142, "040717601776123": 142, "0401859283447266": 142, "0396547317504883": 142, "0391266345977783": 142, "0386018753051758": 142, "0380816459655762": 142, "0375657081604004": 142, "0369281768798828": 142, "0361144542694092": 142, "0355191230773926": 142, "0350127220153809": 142, "0345089435577393": 142, "0340101718902588": 142, "033515453338623": 142, "033024787902832": 142, "0325376987457275": 142, "0320556163787842": 142, "0315775871276855": 142, "031104326248169": 142, "0306353569030762": 142, "030656099319458": 142, "0301928520202637": 142, "0294315814971924": 142, "0289766788482666": 142, "028527021408081": 142, "0280821323394775": 142, "0276415348052979": 142, "027205228805542": 142, "0267729759216309": 142, "0263447761535645": 142, "0257890224456787": 142, "0253016948699951": 142, "0248854160308838": 142, "0244719982147217": 142, "024064302444458": 142, "0236566066741943": 142, "02325439453125": 142, "0228559970855713": 142, "0224590301513672": 142, "021880865097046": 142, "0214905738830566": 142, "0211036205291748": 142, "0207204818725586": 142, "020341157913208": 142, "019963264465332": 142, "0195887088775635": 142, "019761085510254": 142, "0193901062011719": 142, "0190227031707764": 142, "0182130336761475": 142, "0178463459014893": 142, "0174825191497803": 142, "0171222686767578": 142, "0168414115905762": 142, "0163826942443848": 142, "0160284042358398": 142, "015676736831665": 142, "0153286457061768": 142, "0149900913238525": 142, "0146477222442627": 142, "0143074989318848": 142, "0139691829681396": 142, "0136346817016602": 142, "0133030414581299": 142, "012974500656128": 142, "012648344039917": 142, "0123248100280762": 142, "0119500160217285": 142, "011634111404419": 142, "0113210678100586": 142, "0110127925872803": 142, "0107059478759766": 142, "0104005336761475": 142, "010098934173584": 142, "009800910949707": 142, "0095057487487793": 142, "009213924407959": 142, "008924961090088": 142, "0086400508880615": 142, "0083584785461426": 142, "008080244064331": 142, "0078041553497314": 142, "0075657367706299": 142, "0072968006134033": 142, "0070316791534424": 142, "0067822933197021": 142, "006523609161377": 142, "0062692165374756": 142, "0060181617736816": 142, "0057690143585205": 142, "0055243968963623": 142, "0052814483642578": 142, "0050435066223145": 142, "0048067569732666": 142, "0045735836029053": 142, "004343032836914": 142, "0041158199310303": 142, "003891944885254": 142, "0036697387695312": 142, "0034501552581787": 142, "003175973892212": 142, "0029926300048828": 142, "0027799606323242": 142, "002570390701294": 142, "0023629665374756": 142, "002157211303711": 142, "0019543170928955": 142, "00184965133667": 142, "0017564296722412": 142, "0017037391662598": 142, "0015108585357666": 142, "0013184547424316": 142, "0011277198791504": 142, "0013132095336914": 142, "0011262893676758": 142, "000941276550293": 142, "0007562637329102": 142, "000572919845581": 142, "0003879070281982": 142, "0002057552337646": 142, "0000228881835938": 142, "9998406767845154": 142, "9996563792228699": 142, "9994729161262512": 142, "9992899298667908": 142, "9991064667701721": 142, "9989252686500549": 142, "9987432360649109": 142, "9985622763633728": 142, "9983815550804138": 142, "9982022643089294": 142, "9980233311653137": 142, "9978457093238831": 142, "008211024105548859": 142, "005439729429781437": 142, "01712634228169918": 142, "011898067779839039": 142, "006878793239593506": 142, "003264418337494135": 142, "010985241271555424": 142, "006867398042231798": 142, "004076718352735043": 142, "005374774802476168": 142, "0063456762582063675": 142, "0011614874238148332": 142, "008916376158595085": 142, "001921568880788982": 142, "004645820707082748": 142, "010905347764492035": 142, "00646398589015007": 142, "0006509090890176594": 142, "00923918653279543": 142, "007189764175564051": 142, "0028993887826800346": 142, "00990624912083149": 142, "005610927939414978": 142, "0014383923262357712": 142, "01088557206094265": 142, "005494191776961088": 142, "003824956016615033": 142, "0038607765454798937": 142, "007320958189666271": 142, "011151386424899101": 142, "008051246404647827": 142, "0025960635393857956": 142, "048909176141023636": 142, "4334851503372192": 142, "4571707248687744": 142, "050392150878906": 142, "013831693679094315": 142, "908392429351807": 142, "048093795776367": 142, "4030239582061768": 142, "341913223266602": 142, "06425666809082": 142, "227145195007324": 142, "4561314582824707": 142, "041730880737305": 142, "829287052154541": 142, "896983623504639": 142, "06822967529297": 142, "410240888595581": 142, "325711727142334": 142, "046207427978516": 142, "078278064727783": 142, "4447062015533447": 142, "172998428344727": 142, "642666816711426": 142, "9077558517456055": 142, "04508399963379": 142, "246744155883789": 142, "323812484741211": 142, "048259735107422": 142, "4691661596298218": 142, "4400434494018555": 142, "174312591552734": 142, "5391927361488342": 142, "462200880050659": 142, "484113693237305": 142, "9950593113899231": 142, "2956314086914062": 142, "2855706214904785": 142, "2783570289611816": 142, "271315336227417": 142, "2645375728607178": 142, "2577805519104004": 142, "250952959060669": 142, "2444021701812744": 142, "2379603385925293": 142, "2316315174102783": 142, "2254319190979004": 142, "2195634841918945": 142, "2141404151916504": 142, "208824634552002": 142, "2041244506835938": 142, "1992409229278564": 142, "194551706314087": 142, "1900298595428467": 142, "185664176940918": 142, "1814401149749756": 142, "1773488521575928": 142, "173396348953247": 142, "1695451736450195": 142, "165804147720337": 142, "16218900680542": 142, "1586487293243408": 142, "1553857326507568": 142, "1520295143127441": 142, "1487584114074707": 142, "145568609237671": 142, "1408741474151611": 142, "1379022598266602": 142, "135765790939331": 142, "132934331893921": 142, "1301066875457764": 142, "1273438930511475": 142, "1246416568756104": 142, "1219971179962158": 142, "1192357540130615": 142, "1167700290679932": 142, "1142921447753906": 142, "1118650436401367": 142, "1094892024993896": 142, "107161521911621": 142, "104882001876831": 142, "102646827697754": 142, "1004579067230225": 142, "0982933044433594": 142, "096189260482788": 142, "0941276550292969": 142, "092106819152832": 142, "0901241302490234": 142, "0881783962249756": 142, "0862736701965332": 142, "0844268798828125": 142, "082634687423706": 142, "08089280128479": 142, "0791292190551758": 142, "0774827003479004": 142, "0758821964263916": 142, "0743236541748047": 142, "0728070735931396": 142, "0713300704956055": 142, "0698909759521484": 142, "0684881210327148": 142, "067119836807251": 142, "0657846927642822": 142, "0644817352294922": 142, "0632100105285645": 142, "0619688034057617": 142, "0607566833496094": 142, "0595719814300537": 142, "058415174484253": 142, "0572841167449951": 142, "0561256408691406": 142, "0550470352172852": 142, "053992509841919": 142, "0529613494873047": 142, "0519530773162842": 142, "0509676933288574": 142, "050004243850708": 142, "0490624904632568": 142, "048084020614624": 142, "0471837520599365": 142, "0463032722473145": 142, "0454425811767578": 142, "044600486755371": 142, "0437772274017334": 142, "042982816696167": 142, "0421831607818604": 142, "0413975715637207": 142, "0406267642974854": 142, "0398707389831543": 142, "0391290187835693": 142, "0384011268615723": 142, "0376863479614258": 142, "0369844436645508": 142, "0362951755523682": 142, "0356178283691406": 142, "0349512100219727": 142, "034294843673706": 142, "0336501598358154": 142, "033015489578247": 142, "03239107131958": 142, "0317764282226562": 142, "0311710834503174": 142, "0305752754211426": 142, "0299901962280273": 142, "0294146537780762": 142, "028848648071289": 142, "028291940689087": 142, "0277464389801025": 142, "027209758758545": 142, "0266830921173096": 142, "0261657238006592": 142, "0256574153900146": 142, "0251586437225342": 142, "0246682167053223": 142, "0241875648498535": 142, "0232720375061035": 142, "0228066444396973": 142, "0223491191864014": 142, "0218989849090576": 142, "021458387374878": 142, "0210247039794922": 142, "0205998420715332": 142, "0201821327209473": 142, "0197715759277344": 142, "01936936378479": 142, "0189743041992188": 142, "0202395915985107": 142, "01985502243042": 142, "0194787979125977": 142, "019110918045044": 142, "0187747478485107": 142, "0184226036071777": 142, "0180799961090088": 142, "0177452564239502": 142, "0171358585357666": 142, "0168178081512451": 142, "0165066719055176": 142, "0162019729614258": 142, "015904188156128": 142, "0156142711639404": 142, "0153300762176514": 142, "0150508880615234": 142, "014779806137085": 142, "0145132541656494": 142, "0142526626586914": 142, "0139961242675781": 142, "013744831085205": 142, "0134973526000977": 142, "013254165649414": 142, "013014793395996": 142, "0127766132354736": 142, "0125434398651123": 142, "012310266494751": 142, "0120797157287598": 142, "011899471282959": 142, "011671781539917": 142, "011223316192627": 142, "010995864868164": 142, "0107691287994385": 142, "0105438232421875": 142, "0103161334991455": 142, "0100901126861572": 142, "0098645687103271": 142, "0096385478973389": 142, "0094120502471924": 142, "0091848373413086": 142, "0089585781097412": 142, "0087330341339111": 142, "0084691047668457": 142, "008241891860962": 142, "0080153942108154": 142, "0077886581420898": 142, "0075626373291016": 142, "007335901260376": 142, "007110834121704": 142, "0068871974945068": 142, "006662368774414": 142, "0064408779144287": 142, "0062177181243896": 142, "005997657775879": 142, "0057775974273682": 142, "0051915645599365": 142, "0049760341644287": 142, "0047607421875": 142, "0045478343963623": 142, "0043354034423828": 142, "004124402999878": 142, "0039169788360596": 142, "003709316253662": 142, "0035045146942139": 142, "0033016204833984": 142, "003101110458374": 142, "002901315689087": 142, "00270414352417": 142, "0025081634521484": 142, "0024211406707764": 142, "0022296905517578": 142, "0020420551300049": 142, "001854658126831": 142, "0016701221466064": 142, "0014879703521729": 142, "001307725906372": 142, "0011296272277832": 142, "000953197479248": 142, "0007798671722412": 142, "0006086826324463": 142, "0004396438598633": 142, "0002737045288086": 142, "000110387802124": 142, "9999513030052185": 142, "9997956156730652": 142, "9996430277824402": 142, "999494731426239": 142, "9993512034416199": 142, "9992119669914246": 142, "9990769028663635": 142, "9989462494850159": 142, "9988216757774353": 142, "9987025856971741": 142, "9985867142677307": 142, "9984777569770813": 142, "9983728528022766": 142, "9983988404273987": 142, "998308002948761": 142, "9982210993766785": 142, "9981401562690735": 142, "9980648159980774": 142, "9979934096336365": 142, "9979279637336731": 142, "997865617275238": 142, "9978093504905701": 142, "9978092312812805": 142, "9977630972862244": 142, "9977214932441711": 142, "9976831078529358": 142, "9976510405540466": 142, "9976218342781067": 142, "9977859854698181": 142, "9977620244026184": 142, "9977429509162903": 142, "9977895617485046": 142, "9977774024009705": 142, "9977659583091736": 142, "9977592825889587": 142, "9977529644966125": 142, "9977491497993469": 142, "9977445006370544": 142, "9976732134819031": 142, "9976999163627625": 142, "9976982474327087": 142, "99769526720047": 142, "9976908564567566": 142, "9975959658622742": 142, "9975906014442444": 142, "9975520968437195": 142, "9975427985191345": 142, "9975242018699646": 142, "9975113272666931": 142, "9974965453147888": 142, "9974789023399353": 142, "9974591135978699": 142, "9974371790885925": 142, "9974120259284973": 142, "9973767399787903": 142, "9973459839820862": 142, "9973142743110657": 142, "9972801804542542": 142, "9972421526908875": 142, "9969450831413269": 142, "9969030022621155": 142, "9968600869178772": 142, "9968116879463196": 142, "9967628121376038": 142, "9967103600502014": 142, "9966551661491394": 142, "9965993762016296": 142, "9965415596961975": 142, "9964829087257385": 142, "9964200854301453": 142, "9963554739952087": 142, "9962894320487976": 142, "9962227940559387": 142, "9961534142494202": 142, "9960823655128479": 142, "9960071444511414": 142, "9959612488746643": 142, "9958828091621399": 142, "995804488658905": 142, "9957216382026672": 142, "9956392645835876": 142, "9955509305000305": 142, "9954286217689514": 142, "9953380227088928": 142, "9952463507652283": 142, "9951533675193787": 142, "0027813315391540527": 142, "005340503063052893": 142, "002563734073191881": 142, "00156624976079911": 142, "002789942314848304": 142, "0010188078740611672": 142, "00036718667251989245": 142, "004577935207635164": 142, "0007958958740346134": 142, "006216132547706366": 142, "0046919710002839565": 142, "0008483109995722771": 142, "00012531496759038419": 142, "004891723860055208": 142, "001982392044737935": 142, "002269444288685918": 142, "0080439867451787": 142, "0013056150637567043": 142, "013455170206725597": 142, "005607323255389929": 142, "009852753020823002": 142, "004114142619073391": 142, "0005074496730230749": 142, "0007573312614113092": 142, "0015199397457763553": 142, "007507456466555595": 142, "0014814765891060233": 142, "010795924812555313": 142, "0004785799828823656": 142, "04698691889643669": 142, "009953838773071766": 142, "00023539242101833224": 142, "004408380016684532": 142, "3983166217803955": 142, "6098945140838623": 142, "028364181518555": 142, "01192551851272583": 142, "996415138244629": 142, "067991256713867": 142, "3859280347824097": 142, "485772132873535": 142, "10818099975586": 142, "225403308868408": 142, "55625057220459": 142, "084192276000977": 142, "8076748847961426": 142, "991176128387451": 142, "06932258605957": 142, "3968067169189453": 142, "434713363647461": 142, "060277938842773": 142, "038914203643799": 142, "552906036376953": 142, "079063415527344": 142, "632882118225098": 142, "891515731811523": 142, "99946403503418": 142, "175315856933594": 142, "465512752532959": 142, "109628677368164": 142, "3788180351257324": 142, "013724765740334988": 142, "744924545288086": 142, "420814037322998": 142, "9125238060951233": 142, "081615447998047": 142, "0712401866912842": 142, "6511731147766113": 142, "641514539718628": 142, "632096767425537": 142, "6234700679779053": 142, "6155285835266113": 142, "608147144317627": 142, "6012768745422363": 142, "594752550125122": 142, "5885591506958008": 142, "5825271606445312": 142, "5768682956695557": 142, "5712401866912842": 142, "5659985542297363": 142, "5609335899353027": 142, "5560302734375": 142, "5512712001800537": 142, "546644687652588": 142, "542231559753418": 142, "5381081104278564": 142, "533893346786499": 142, "5297467708587646": 142, "5257186889648438": 142, "521677017211914": 142, "517707347869873": 142, "513807773590088": 142, "5099711418151855": 142, "506195068359375": 142, "502474069595337": 142, "4988048076629639": 142, "4951841831207275": 142, "4916086196899414": 142, "488079309463501": 142, "4845898151397705": 142, "4811367988586426": 142, "4777204990386963": 142, "474339485168457": 142, "470992088317871": 142, "4676780700683594": 142, "464439868927002": 142, "4611845016479492": 142, "458055019378662": 142, "4546318054199219": 142, "4514596462249756": 142, "4483132362365723": 142, "4451909065246582": 142, "4420909881591797": 142, "4390156269073486": 142, "4359605312347412": 142, "432927131652832": 142, "429914951324463": 142, "4269192218780518": 142, "4239428043365479": 142, "4209842681884766": 142, "4180259704589844": 142, "4150187969207764": 142, "4120211601257324": 142, "4091222286224365": 142, "4062399864196777": 142, "4033701419830322": 142, "4005143642425537": 142, "397667407989502": 142, "3949675559997559": 142, "3921396732330322": 142, "3892788887023926": 142, "386474370956421": 142, "3836791515350342": 142, "3808913230895996": 142, "3781137466430664": 142, "3753437995910645": 142, "3722703456878662": 142, "3695147037506104": 142, "366767168045044": 142, "3640263080596924": 142, "3612935543060303": 142, "3585662841796875": 142, "3558456897735596": 142, "353130578994751": 142, "350421667098999": 142, "3477180004119873": 142, "3450193405151367": 142, "3423261642456055": 142, "3396377563476562": 142, "3369534015655518": 142, "3343465328216553": 142, "3316726684570312": 142, "3290033340454102": 142, "3263378143310547": 142, "323734998703003": 142, "3210761547088623": 142, "3184175491333008": 142, "3157622814178467": 142, "313110113143921": 142, "3104612827301025": 142, "307814121246338": 142, "305168628692627": 142, "3025262355804443": 142, "2998847961425781": 142, "2972450256347656": 142, "2946076393127441": 142, "2919697761535645": 142, "2893338203430176": 142, "286698818206787": 142, "2840638160705566": 142, "281428575515747": 142, "2787940502166748": 142, "2761597633361816": 142, "2736356258392334": 142, "270937442779541": 142, "2683050632476807": 142, "2656748294830322": 142, "262883186340332": 142, "2602555751800537": 142, "257629632949829": 142, "2549769878387451": 142, "2523584365844727": 142, "249742031097412": 142, "2471296787261963": 142, "2445216178894043": 142, "2419164180755615": 142, "2393803596496582": 142, "2367849349975586": 142, "2341935634613037": 142, "2316093444824219": 142, "2290303707122803": 142, "2264587879180908": 142, "2238659858703613": 142, "221308708190918": 142, "2187602519989014": 142, "2162203788757324": 142, "2136898040771484": 142, "2110826969146729": 142, "2085719108581543": 142, "2060716152191162": 142, "2035822868347168": 142, "2011034488677979": 142, "1986379623413086": 142, "1961848735809326": 142, "1937451362609863": 142, "1913177967071533": 142, "18890380859375": 142, "1865041255950928": 142, "1841187477111816": 142, "1816620826721191": 142, "179307460784912": 142, "1769683361053467": 142, "1746439933776855": 142, "172337293624878": 142, "1700465679168701": 142, "1677734851837158": 142, "1655187606811523": 142, "1632821559906006": 142, "1610651016235352": 142, "1588664054870605": 142, "1572139263153076": 142, "155052661895752": 142, "1529760360717773": 142, "1507658958435059": 142, "1486704349517822": 142, "1465981006622314": 142, "1445503234863281": 142, "1425278186798096": 142, "1405303478240967": 142, "1385579109191895": 142, "1366126537322998": 142, "1346940994262695": 142, "1328034400939941": 142, "1313724517822266": 142, "1295435428619385": 142, "127744436264038": 142, "1259732246398926": 142, "1242330074310303": 142, "1225223541259766": 142, "1208417415618896": 142, "1191918849945068": 142, "1175734996795654": 142, "1159842014312744": 142, "1144263744354248": 142, "1128995418548584": 142, "1114044189453125": 142, "1097722053527832": 142, "1083402633666992": 142, "1067063808441162": 142, "1053354740142822": 142, "1039955615997314": 142, "1026849746704102": 142, "1014058589935303": 142, "1001577377319336": 142, "098874568939209": 142, "0976872444152832": 142, "096588134765625": 142, "0954644680023193": 142, "0943701267242432": 142, "0933072566986084": 142, "0922746658325195": 142, "0912728309631348": 142, "0903010368347168": 142, "0893595218658447": 142, "0882723331451416": 142, "0874593257904053": 142, "0858900547027588": 142, "0850975513458252": 142, "0843350887298584": 142, "08359956741333": 142, "0828914642333984": 142, "0822117328643799": 142, "0815579891204834": 142, "0809311866760254": 142, "080329179763794": 142, "0797507762908936": 142, "0791964530944824": 142, "0786640644073486": 142, "0781540870666504": 142, "0776646137237549": 142, "0772666931152344": 142, "0768582820892334": 142, "0764310359954834": 142, "076021432876587": 142, "0756309032440186": 142, "0752575397491455": 142, "0749022960662842": 142, "074244737625122": 142, "0739412307739258": 142, "0736544132232666": 142, "0733840465545654": 142, "071798324584961": 142, "071570873260498": 142, "071359634399414": 142, "0711979866027832": 142, "0710163116455078": 142, "0708487033843994": 142, "0714964866638184": 142, "0713675022125244": 142, "071254014968872": 142, "071566104888916": 142, "0714783668518066": 142, "0714023113250732": 142, "0713355541229248": 142, "0712792873382568": 142, "0712320804595947": 142, "0711936950683594": 142, "0711636543273926": 142, "071141242980957": 142, "07112455368042": 142, "071115255355835": 142, "071110486984253": 142, "0711114406585693": 142, "0711171627044678": 142, "0721936225891113": 142, "0722239017486572": 142, "0722591876983643": 142, "0722987651824951": 142, "0722358226776123": 142, "0722811222076416": 142, "0727119445800781": 142, "0727622509002686": 142, "072814702987671": 142, "0728662014007568": 142, "0729193687438965": 142, "0729713439941406": 142, "0730233192443848": 142, "0730745792388916": 142, "0731239318847656": 142, "0731713771820068": 142, "0732176303863525": 142, "0732605457305908": 142, "0733013153076172": 142, "0733370780944824": 142, "0732886791229248": 142, "0733191967010498": 142, "0733449459075928": 142, "0733661651611328": 142, "07338285446167": 142, "0733940601348877": 142, "0734007358551025": 142, "073401927947998": 142, "0733964443206787": 142, "0733060836791992": 142, "073582649230957": 142, "0733349323272705": 142, "0732982158660889": 142, "073253870010376": 142, "0732030868530273": 142, "0731451511383057": 142, "0730772018432617": 142, "0726723670959473": 142, "072589635848999": 142, "0724999904632568": 142, "072404146194458": 142, "0723013877868652": 142, "0721919536590576": 142, "0720772743225098": 142, "0719523429870605": 142, "0718212127685547": 142, "0716850757598877": 142, "071542501449585": 142, "071394681930542": 142, "0034849881194531918": 142, "01418065931648016": 142, "007326021790504456": 142, "007618695963174105": 142, "03284426033496857": 142, "002024947665631771": 142, "01820659078657627": 142, "03458355367183685": 142, "012600095011293888": 142, "00744189927354455": 142, "022876877337694168": 142, "008392924442887306": 142, "0036000204272568226": 142, "027130091562867165": 142, "0006865776376798749": 142, "012218874879181385": 142, "026882311329245567": 142, "0022092480212450027": 142, "0003645266406238079": 142, "0219022985547781": 142, "0029693974647670984": 142, "00014505426224786788": 142, "02262718789279461": 142, "0031417207792401314": 142, "0012557592708617449": 142, "00308342557400465": 142, "030612340196967125": 142, "07469356060028076": 142, "0684925764799118": 142, "02429237589240074": 142, "06157616898417473": 142, "05247434973716736": 142, "06555984914302826": 142, "4433461427688599": 142, "46931791305542": 142, "040998458862305": 142, "014272014610469341": 142, "891293525695801": 142, "06536102294922": 142, "3721048831939697": 142, "329747200012207": 142, "038881301879883": 142, "2451605796813965": 142, "4454123973846436": 142, "072511672973633": 142, "829810619354248": 142, "882141590118408": 142, "0549259185791": 142, "4121085405349731": 142, "332289218902588": 142, "044840335845947": 142, "4709126949310303": 142, "031335830688477": 142, "658193111419678": 142, "877024173736572": 142, "053768157958984": 142, "245187759399414": 142, "330285549163818": 142, "14436149597168": 142, "18354125320911407": 142, "41071462631225586": 142, "10199737548828": 142, "6305249333381653": 142, "9031926393508911": 142, "34377670288086": 142, "0455176830291748": 142, "5270743370056152": 142, "5189931392669678": 142, "5106496810913086": 142, "502546787261963": 142, "4946715831756592": 142, "4871137142181396": 142, "4796972274780273": 142, "4724876880645752": 142, "4654650688171387": 142, "4586126804351807": 142, "4519200325012207": 142, "4453694820404053": 142, "4389526844024658": 142, "4326610565185547": 142, "4264731407165527": 142, "4204096794128418": 142, "4144504070281982": 142, "4084515571594238": 142, "4026997089385986": 142, "3970508575439453": 142, "391500473022461": 142, "3860466480255127": 142, "3806860446929932": 142, "3754167556762695": 142, "3702404499053955": 142, "3651511669158936": 142, "3601491451263428": 142, "355233907699585": 142, "3504033088684082": 142, "3458335399627686": 142, "3411736488342285": 142, "3365943431854248": 142, "3320949077606201": 142, "3276729583740234": 142, "323329210281372": 142, "3190617561340332": 142, "3149454593658447": 142, "3108294010162354": 142, "3067896366119385": 142, "3028204441070557": 142, "2989232540130615": 142, "2950959205627441": 142, "2913360595703125": 142, "287647008895874": 142, "2840230464935303": 142, "280466079711914": 142, "2769734859466553": 142, "2735438346862793": 142, "2701778411865234": 142, "2668731212615967": 142, "2636299133300781": 142, "260361671447754": 142, "2572352886199951": 142, "253829002380371": 142, "2508203983306885": 142, "2478699684143066": 142, "245018482208252": 142, "2421767711639404": 142, "239389419555664": 142, "2366552352905273": 142, "2339725494384766": 142, "2313427925109863": 142, "2287650108337402": 142, "2262365818023682": 142, "2237589359283447": 142, "2213294506072998": 142, "2189462184906006": 142, "216611623764038": 142, "2143237590789795": 142, "2120811939239502": 142, "2098851203918457": 142, "2077341079711914": 142, "2056257724761963": 142, "203561782836914": 142, "2015390396118164": 142, "1995580196380615": 142, "197617769241333": 142, "195716142654419": 142, "1938531398773193": 142, "1920278072357178": 142, "1902410984039307": 142, "1884901523590088": 142, "1867737770080566": 142, "185103178024292": 142, "1834537982940674": 142, "181840181350708": 142, "18025803565979": 142, "1787080764770508": 142, "1771883964538574": 142, "1756973266601562": 142, "1742384433746338": 142, "1728050708770752": 142, "1713991165161133": 142, "1700942516326904": 142, "1687400341033936": 142, "167412281036377": 142, "1658525466918945": 142, "1645736694335938": 142, "1633155345916748": 142, "1620807647705078": 142, "1608672142028809": 142, "1596758365631104": 142, "1585052013397217": 142, "1573538780212402": 142, "156224012374878": 142, "1551120281219482": 142, "1540184020996094": 142, "1529426574707031": 142, "1518867015838623": 142, "150848388671875": 142, "1498265266418457": 142, "1488234996795654": 142, "147836446762085": 142, "1468675136566162": 142, "1459145545959473": 142, "1449778079986572": 142, "1440579891204834": 142, "1431546211242676": 142, "1422667503356934": 142, "141392469406128": 142, "140533447265625": 142, "1396899223327637": 142, "1388616561889648": 142, "138045310974121": 142, "1374473571777344": 142, "1369578838348389": 142, "1361784934997559": 142, "1354105472564697": 142, "1346533298492432": 142, "1339051723480225": 142, "1331679821014404": 142, "1324377059936523": 142, "1317169666290283": 142, "1302971839904785": 142, "1289610862731934": 142, "12827467918396": 142, "1275925636291504": 142, "1269681453704834": 142, "1262967586517334": 142, "1256306171417236": 142, "1251354217529297": 142, "1244785785675049": 142, "1238253116607666": 142, "1232078075408936": 142, "1225636005401611": 142, "1219234466552734": 142, "1212880611419678": 142, "120656967163086": 142, "1200289726257324": 142, "1194067001342773": 142, "1187880039215088": 142, "1181714534759521": 142, "1175603866577148": 142, "1169500350952148": 142, "116344928741455": 142, "1157410144805908": 142, "1151401996612549": 142, "1145401000976562": 142, "1139411926269531": 142, "1133437156677246": 142, "1127469539642334": 142, "1121509075164795": 142, "1115548610687256": 142, "1109576225280762": 142, "1103606224060059": 142, "10978364944458": 142, "1091842651367188": 142, "1087563037872314": 142, "1081531047821045": 142, "1075491905212402": 142, "1069421768188477": 142, "1063323020935059": 142, "1057209968566895": 142, "105107069015503": 142, "1044921875": 142, "1038742065429688": 142, "1032555103302002": 142, "1026332378387451": 142, "1020119190216064": 142, "1013598442077637": 142, "1007347106933594": 142, "1001098155975342": 142, "0994267463684082": 142, "098801851272583": 142, "0981781482696533": 142, "0975556373596191": 142, "0969493389129639": 142, "0963358879089355": 142, "0957248210906982": 142, "0951149463653564": 142, "0945076942443848": 142, "0939035415649414": 142, "0933024883270264": 142, "0927069187164307": 142, "0921149253845215": 142, "0915272235870361": 142, "0909450054168701": 142, "0903682708740234": 142, "089796781539917": 142, "089231014251709": 142, "0886726379394531": 142, "0881192684173584": 142, "0875718593597412": 142, "0870320796966553": 142, "0864989757537842": 142, "0859715938568115": 142, "0854504108428955": 142, "0849354267120361": 142, "0844261646270752": 142, "08392333984375": 142, "0834264755249023": 142, "0829339027404785": 142, "0824487209320068": 142, "0820949077606201": 142, "0813117027282715": 142, "0808382034301758": 142, "0803687572479248": 142, "0799026489257812": 142, "0794389247894287": 142, "0789790153503418": 142, "078064203262329": 142, "0776078701019287": 142, "0771539211273193": 142, "0767815113067627": 142, "0763256549835205": 142, "075868844985962": 142, "0752513408660889": 142, "0747931003570557": 142, "07676100730896": 142, "0762698650360107": 142, "0757801532745361": 142, "0752911567687988": 142, "074803352355957": 142, "074315071105957": 142, "0738270282745361": 142, "0733399391174316": 142, "072852611541748": 142, "0723657608032227": 142, "0718798637390137": 142, "0713953971862793": 142, "0706791877746582": 142, "0701942443847656": 142, "069711446762085": 142, "0692315101623535": 142, "0687544345855713": 142, "0682809352874756": 142, "0678114891052246": 142, "0673463344573975": 142, "066884994506836": 142, "0664277076721191": 142, "0660641193389893": 142, "0656144618988037": 142, "0646424293518066": 142, "0642101764678955": 142, "0637822151184082": 142, "0633561611175537": 142, "062934160232544": 142, "0625131130218506": 142, "0620956420898438": 142, "0616791248321533": 142, "0612659454345703": 142, "0608532428741455": 142, "0604424476623535": 142, "0600323677062988": 142, "059621810913086": 142, "0592129230499268": 142, "058802604675293": 142, "0583930015563965": 142, "0573201179504395": 142, "0569000244140625": 142, "0564730167388916": 142, "0560436248779297": 142, "0556118488311768": 142, "0551772117614746": 142, "0547399520874023": 142, "0543010234832764": 142, "0538578033447266": 142, "0531105995178223": 142, "0526649951934814": 142, "052217960357666": 142, "0517704486846924": 142, "0513207912445068": 142, "0508677959442139": 142, "0504212379455566": 142, "049973964691162": 142, "0495247840881348": 142, "0490748882293701": 142, "0487241744995117": 142, "0482761859893799": 142, "0478289127349854": 142, "048309087753296": 142, "0478332042694092": 142, "0473597049713135": 142, "0468924045562744": 142, "0464293956756592": 142, "045971155166626": 142, "00012479456199798733": 142, "00879407674074173": 142, "0020462987013161182": 142, "002919144229963422": 142, "00340171973221004": 142, "003312567947432399": 142, "002706667175516486": 142, "003188151167705655": 142, "002998487325385213": 142, "0002995484974235296": 142, "0035156388767063618": 142, "00615926505997777": 142, "002031691838055849": 142, "00025647369329817593": 142, "006454831920564175": 142, "005858671851456165": 142, "0019754606764763594": 142, "004383216146379709": 142, "0019078770419582725": 142, "0018670011777430773": 142, "00708700530230999": 142, "00028571239090524614": 142, "0001266718318220228": 142, "006395401898771524": 142, "0070351180620491505": 142, "00690666027367115": 142, "0005751068820245564": 142, "02844942919909954": 142, "11504410952329636": 142, "006154707167297602": 142, "0111288633197546": 142, "048753879964351654": 142, "03041987679898739": 142, "4425327777862549": 142, "4455413818359375": 142, "044841766357422": 142, "024771884083747864": 142, "896699905395508": 142, "04712677001953": 142, "3902453184127808": 142, "3310160636901855": 142, "065406799316406": 142, "230020046234131": 142, "446519136428833": 142, "044694900512695": 142, "839907169342041": 142, "88662576675415": 142, "06845474243164": 142, "4200177192687988": 142, "311787128448486": 142, "042903900146484": 142, "064908027648926": 142, "4405219554901123": 142, "140756607055664": 142, "651911735534668": 142, "9027628898620605": 142, "04844093322754": 142, "2601494789123535": 142, "312936782836914": 142, "045307159423828": 142, "3984957933425903": 142, "389103889465332": 142, "14208984375": 142, "5906103849411011": 142, "857297420501709": 142, "441389083862305": 142, "9958147406578064": 142, "3554515838623047": 142, "3471026420593262": 142, "3406388759613037": 142, "3343451023101807": 142, "3281469345092773": 142, "3219916820526123": 142, "3158581256866455": 142, "30973219871521": 142, "3036131858825684": 142, "2978520393371582": 142, "291529893875122": 142, "2854390144348145": 142, "279285192489624": 142, "2732329368591309": 142, "2673149108886719": 142, "2613112926483154": 142, "2553355693817139": 142, "2493908405303955": 142, "2434799671173096": 142, "2376844882965088": 142, "2320876121520996": 142, "226611852645874": 142, "2213761806488037": 142, "216301441192627": 142, "2114338874816895": 142, "206660270690918": 142, "2020277976989746": 142, "1975269317626953": 142, "1931066513061523": 142, "1888580322265625": 142, "18464994430542": 142, "1806421279907227": 142, "1767451763153076": 142, "1729562282562256": 142, "1686148643493652": 142, "165043592453003": 142, "1615750789642334": 142, "1595897674560547": 142, "1563458442687988": 142, "1532070636749268": 142, "1500244140625": 142, "1470792293548584": 142, "1442277431488037": 142, "141477346420288": 142, "138826608657837": 142, "136174201965332": 142, "1332252025604248": 142, "1308839321136475": 142, "1286249160766602": 142, "1264452934265137": 142, "1240670680999756": 142, "122032642364502": 142, "1200661659240723": 142, "118164300918579": 142, "1163244247436523": 142, "1143131256103516": 142, "1125872135162354": 142, "1109161376953125": 142, "1092970371246338": 142, "1076114177703857": 142, "1060895919799805": 142, "1043827533721924": 142, "1029555797576904": 142, "1015739440917969": 142, "1002345085144043": 142, "1002888679504395": 142, "0990345478057861": 142, "0978193283081055": 142, "0966448783874512": 142, "0955088138580322": 142, "0944116115570068": 142, "0933523178100586": 142, "0913434028625488": 142, "0908927917480469": 142, "089076042175293": 142, "0882253646850586": 142, "0874056816101074": 142, "0866174697875977": 142, "0858583450317383": 142, "0849637985229492": 142, "0842609405517578": 142, "0835847854614258": 142, "082932710647583": 142, "0823028087615967": 142, "0816936492919922": 142, "0811057090759277": 142, "0805354118347168": 142, "0799846649169922": 142, "0794475078582764": 142, "0789539813995361": 142, "078446626663208": 142, "0779504776000977": 142, "0774662494659424": 142, "076528787612915": 142, "0760743618011475": 142, "0756278038024902": 142, "0751893520355225": 142, "074756145477295": 142, "0743305683135986": 142, "073868989944458": 142, "0734500885009766": 142, "073136806488037": 142, "0727269649505615": 142, "0723211765289307": 142, "0719187259674072": 142, "071519136428833": 142, "0711243152618408": 142, "070732831954956": 142, "0701112747192383": 142, "0697250366210938": 142, "0693402290344238": 142, "0689594745635986": 142, "0685787200927734": 142, "0682008266448975": 142, "0678250789642334": 142, "0668561458587646": 142, "066455364227295": 142, "0660557746887207": 142, "0656542778015137": 142, "0652518272399902": 142, "0648491382598877": 142, "064443588256836": 142, "0640373229980469": 142, "063629150390625": 142, "0632197856903076": 142, "0628101825714111": 142, "0623979568481445": 142, "061983346939087": 142, "0615646839141846": 142, "0611448287963867": 142, "0607237815856934": 142, "0602986812591553": 142, "0598714351654053": 142, "059478998184204": 142, "0589148998260498": 142, "0584805011749268": 142, "0580432415008545": 142, "0576019287109375": 142, "0571551322937012": 142, "0567035675048828": 142, "0562491416931152": 142, "0557889938354492": 142, "0553252696990967": 142, "0548570156097412": 142, "0543849468231201": 142, "0539076328277588": 142, "053426742553711": 142, "052941083908081": 142, "0524516105651855": 142, "0519578456878662": 142, "0514612197875977": 142, "0509607791900635": 142, "0504555702209473": 142, "0499470233917236": 142, "0494351387023926": 142, "0489203929901123": 142, "0482556819915771": 142, "0477349758148193": 142, "047212839126587": 142, "0466887950897217": 142, "0461628437042236": 142, "0456345081329346": 142, "045105218887329": 142, "0445735454559326": 142, "0440421104431152": 142, "0436577796936035": 142, "0431239604949951": 142, "0425899028778076": 142, "04205322265625": 142, "0415174961090088": 142, "0409798622131348": 142, "0404412746429443": 142, "039903163909912": 142, "039365291595459": 142, "0388267040252686": 142, "0382881164550781": 142, "037750482559204": 142, "0372130870819092": 142, "0366761684417725": 142, "036139726638794": 142, "0357229709625244": 142, "0351874828338623": 142, "034653663635254": 142, "034121036529541": 142, "0335886478424072": 142, "0330593585968018": 142, "0325310230255127": 142, "0320026874542236": 142, "0314791202545166": 142, "0309581756591797": 142, "030439853668213": 142, "0299320220947266": 142, "0294208526611328": 142, "0289111137390137": 142, "0284056663513184": 142, "0279121398925781": 142, "0274136066436768": 142, "0269176959991455": 142, "0262489318847656": 142, "0257880687713623": 142, "0253121852874756": 142, "024829387664795": 142, "0243513584136963": 142, "023876428604126": 142, "0234055519104004": 142, "022939682006836": 142, "0224766731262207": 142, "0220179557800293": 142, "0215644836425781": 142, "0208208560943604": 142, "020376205444336": 142, "0199368000030518": 142, "0195016860961914": 142, "019188642501831": 142, "0187599658966064": 142, "018115520477295": 142, "0177018642425537": 142, "0172936916351318": 142, "016890048980713": 142, "0164761543273926": 142, "016080379486084": 142, "0156886577606201": 142, "015303134918213": 142, "0149214267730713": 142, "0145440101623535": 142, "0141725540161133": 142, "013805627822876": 142, "0134425163269043": 142, "0130844116210938": 142, "0127296447753906": 142, "0128138065338135": 142, "0124666690826416": 142, "0121235847473145": 142, "0117855072021484": 142, "0114500522613525": 142, "0111198425292969": 142, "0107920169830322": 142, "0104691982269287": 142, "0101499557495117": 142, "0098342895507812": 142, "0095224380493164": 142, "0092129707336426": 142, "008906602859497": 142, "0086016654968262": 142, "0082988739013672": 142, "007997989654541": 142, "0077004432678223": 142, "0074052810668945": 142, "0071125030517578": 142, "0063800811767578": 142, "006089210510254": 142, "0058019161224365": 142, "005514144897461": 142, "0052294731140137": 142, "0049467086791992": 142, "0046651363372803": 142, "0043857097625732": 142, "0041089057922363": 142, "0038337707519531": 142, "0035614967346191": 142, "0032920837402344": 142, "0030231475830078": 142, "002756118774414": 142, "0024917125701904": 142, "0022287368774414": 142, "0019681453704834": 142, "001709222793579": 142, "0014512538909912": 142, "0011963844299316": 142, "000943899154663": 142, "0006952285766602": 142, "0004489421844482": 142, "0002055168151855": 142, "9999651312828064": 142, "9997265934944153": 142, "9994924664497375": 142, "9994376301765442": 142, "9992108941078186": 142, "9989884495735168": 142, "9987707734107971": 142, "9985554814338684": 142, "9983450770378113": 142, "9981393218040466": 142, "9979377388954163": 142, "9977421164512634": 142, "9975500702857971": 142, "9973184466362": 142, "9971385598182678": 142, "9969621300697327": 142, "9967898726463318": 142, "9966241717338562": 142, "9964620471000671": 142, "9963018298149109": 142, "9961475729942322": 142, "9959970116615295": 142, "9959356188774109": 142, "0004041199281346053": 142, "003617294365540147": 142, "000835130107589066": 142, "0074398936703801155": 142, "004819204565137625": 142, "0016386869829148054": 142, "011286234483122826": 142, "00377746787853539": 142, "0015610131667926908": 142, "012422154657542706": 142, "0038885180838406086": 142, "0008776838658377528": 142, "010856617242097855": 142, "00281337252818048": 142, "0017934107454493642": 142, "012189400382339954": 142, "00531174149364233": 142, "0001361277827527374": 142, "0035121338441967964": 142, "007049380335956812": 142, "03403725475072861": 142, "01274636760354042": 142, "0003698025248013437": 142, "0010878888424485922": 142, "009740698151290417": 142, "006820577662438154": 142, "0009280492668040097": 142, "026125779375433922": 142, "005334243178367615": 142, "0036636656150221825": 142, "008122047409415245": 142, "0036155555862933397": 142, "03404811769723892": 142, "5320366621017456": 142, "39005970954895": 142, "074495315551758": 142, "11297444254159927": 142, "848306655883789": 142, "057756423950195": 142, "3064134120941162": 142, "2722272872924805": 142, "06736946105957": 142, "250405311584473": 142, "434622049331665": 142, "00118064880371": 142, "9294655323028564": 142, "8280510902404785": 142, "078937530517578": 142, "5379300117492676": 142, "2365546226501465": 142, "0897274017334": 142, "238898754119873": 142, "419450283050537": 142, "056760787963867": 142, "747228145599365": 142, "833791255950928": 142, "06542205810547": 142, "3931708335876465": 142, "238662242889404": 142, "027202606201172": 142, "462794303894043": 142, "2712552547454834": 142, "695188522338867": 142, "66000509262085": 142, "7614637613296509": 142, "990015029907227": 142, "0622732639312744": 142, "2818453311920166": 142, "2761800289154053": 142, "268460988998413": 142, "2610375881195068": 142, "253875494003296": 142, "2467033863067627": 142, "2396247386932373": 142, "2327287197113037": 142, "2260441780090332": 142, "2195649147033691": 142, "2132940292358398": 142, "2072300910949707": 142, "2014274597167969": 142, "1957876682281494": 142, "190370798110962": 142, "1853253841400146": 142, "1821651458740234": 142, "1778771877288818": 142, "1739275455474854": 142, "1702852249145508": 142, "166926622390747": 142, "163827657699585": 142, "1610982418060303": 142, "1584229469299316": 142, "1559014320373535": 142, "153670072555542": 142, "151616096496582": 142, "1495890617370605": 142, "1478526592254639": 142, "1462557315826416": 142, "1448125839233398": 142, "1434636116027832": 142, "1422197818756104": 142, "1410715579986572": 142, "1400079727172852": 142, "1390182971954346": 142, "138094425201416": 142, "1372263431549072": 142, "1364071369171143": 142, "1356291770935059": 142, "1345257759094238": 142, "1338119506835938": 142, "1330299377441406": 142, "1323671340942383": 142, "1315443515777588": 142, "1308414936065674": 142, "1302495002746582": 142, "1295454502105713": 142, "1289997100830078": 142, "1284785270690918": 142, "1280848979949951": 142, "127614974975586": 142, "1271722316741943": 142, "1267566680908203": 142, "1263692378997803": 142, "1260085105895996": 142, "1256744861602783": 142, "1252593994140625": 142, "124976634979248": 142, "1247174739837646": 142, "1244828701019287": 142, "1242709159851074": 142, "1240801811218262": 142, "1239094734191895": 142, "1238644123077393": 142, "1237332820892334": 142, "123426914215088": 142, "1233234405517578": 142, "123234510421753": 142, "1231577396392822": 142, "1230926513671875": 142, "1230380535125732": 142, "1229920387268066": 142, "1229546070098877": 142, "1229233741760254": 142, "122899055480957": 142, "122877836227417": 142, "1230251789093018": 142, "122666358947754": 142, "1226532459259033": 142, "1226396560668945": 142, "122624397277832": 142, "1226084232330322": 142, "122589111328125": 142, "1226603984832764": 142, "1226320266723633": 142, "1218063831329346": 142, "1217718124389648": 142, "1217296123504639": 142, "1216788291931152": 142, "1216201782226562": 142, "121551752090454": 142, "121473789215088": 142, "1213839054107666": 142, "1212828159332275": 142, "121169090270996": 142, "121042251586914": 142, "1206958293914795": 142, "1207752227783203": 142, "1206698417663574": 142, "1204872131347656": 142, "1202888488769531": 142, "12007737159729": 142, "1213653087615967": 142, "1211285591125488": 142, "120875358581543": 142, "1206073760986328": 142, "1204211711883545": 142, "1201257705688477": 142, "119814395904541": 142, "11948823928833": 142, "1191468238830566": 142, "1187899112701416": 142, "1184179782867432": 142, "117845058441162": 142, "1174445152282715": 142, "1170296669006348": 142, "1166009902954102": 142, "115828514099121": 142, "1153736114501953": 142, "1149051189422607": 142, "1144239902496338": 142, "1139304637908936": 142, "1132433414459229": 142, "112727165222168": 142, "1121821403503418": 142, "1116459369659424": 142, "111100435256958": 142, "1105470657348633": 142, "109987497329712": 142, "1094205379486084": 142, "1088471412658691": 142, "1082234382629395": 142, "1076374053955078": 142, "1070482730865479": 142, "1064553260803223": 142, "105860948562622": 142, "10526442527771": 142, "1046664714813232": 142, "1040678024291992": 142, "1034700870513916": 142, "1028740406036377": 142, "102278709411621": 142, "1016857624053955": 142, "1011548042297363": 142, "0999805927276611": 142, "0994904041290283": 142, "0987708568572998": 142, "0981972217559814": 142, "0977530479431152": 142, "0971925258636475": 142, "0966355800628662": 142, "0969257354736328": 142, "0963754653930664": 142, "0958302021026611": 142, "0951714515686035": 142, "0949623584747314": 142, "0944347381591797": 142, "0939109325408936": 142, "0933899879455566": 142, "0928711891174316": 142, "0923569202423096": 142, "0918443202972412": 142, "091334342956543": 142, "0908265113830566": 142, "0903208255767822": 142, "0898158550262451": 142, "0891249179840088": 142, "0886616706848145": 142, "0880355834960938": 142, "087475299835205": 142, "0869770050048828": 142, "0864794254302979": 142, "0861091613769531": 142, "0856118202209473": 142, "085113286972046": 142, "0846154689788818": 142, "0839018821716309": 142, "0834033489227295": 142, "0829055309295654": 142, "0827000141143799": 142, "0822031497955322": 142, "0817067623138428": 142, "0812113285064697": 142, "080716609954834": 142, "0802216529846191": 142, "0795938968658447": 142, "0791020393371582": 142, "0786113739013672": 142, "0781223773956299": 142, "0771515369415283": 142, "0762948989868164": 142, "0758163928985596": 142, "074889898300171": 142, "0744178295135498": 142, "073948621749878": 142, "0734837055206299": 142, "073021650314331": 142, "0725629329681396": 142, "0721087455749512": 142, "071657419204712": 142, "071211814880371": 142, "0707697868347168": 142, "0703322887420654": 142, "0699000358581543": 142, "0694730281829834": 142, "0690507888793945": 142, "0685315132141113": 142, "0681207180023193": 142, "0677158832550049": 142, "067317008972168": 142, "066068172454834": 142, "0656888484954834": 142, "0653164386749268": 142, "0649518966674805": 142, "0645949840545654": 142, "0642461776733398": 142, "063904047012329": 142, "0639798641204834": 142, "063652753829956": 142, "0631752014160156": 142, "062864065170288": 142, "0625624656677246": 142, "0620203018188477": 142, "0617384910583496": 142, "0614678859710693": 142, "0612077713012695": 142, "0609581470489502": 142, "0607202053070068": 142, "060495138168335": 142, "0597383975982666": 142, "0595335960388184": 142, "0593430995941162": 142, "0591654777526855": 142, "0590014457702637": 142, "0590879917144775": 142, "0589473247528076": 142, "0584721565246582": 142, "0583550930023193": 142, "0582516193389893": 142, "058161735534668": 142, "0580832958221436": 142, "0579595565795898": 142, "0579063892364502": 142, "057866096496582": 142, "0578384399414062": 142, "0578229427337646": 142, "0578186511993408": 142, "057826042175293": 142, "057844877243042": 142, "0578744411468506": 142, "0579147338867188": 142, "05796480178833": 142, "058023452758789": 142, "0580921173095703": 142, "0580368041992188": 142, "0581181049346924": 142, "0582091808319092": 142, "0583064556121826": 142, "058410882949829": 142, "058520793914795": 142, "0586354732513428": 142, "0589182376861572": 142, "0590431690216064": 142, "059081792831421": 142, "0594420433044434": 142, "0595746040344238": 142, "0597081184387207": 142, "0598418712615967": 142, "059976577758789": 142, "0601108074188232": 142, "0602450370788574": 142, "060716152191162": 142, "0610332489013672": 142, "0611577033996582": 142, "061354637145996": 142, "0617427825927734": 142, "061858892440796": 142, "06197190284729": 142, "0620064735412598": 142, "0621099472045898": 142, "0622096061706543": 142, "0613715648651123": 142, "0615801811218262": 142, "0616674423217773": 142, "061748743057251": 142, "0618250370025635": 142, "0618970394134521": 142, "061628818511963": 142, "0616939067840576": 142, "0616230964660645": 142, "0616779327392578": 142, "0615661144256592": 142, "0616135597229004": 142, "0616555213928223": 142, "01720244437456131": 142, "019890960305929184": 142, "018480492755770683": 142, "02870619297027588": 142, "0006857033004052937": 142, "007950948551297188": 142, "009495203383266926": 142, "020370429381728172": 142, "010190571658313274": 142, "022330041974782944": 142, "02770417369902134": 142, "00022377248387783766": 142, "013266783207654953": 142, "007095463573932648": 142, "01256565935909748": 142, "012420494109392166": 142, "021465418860316277": 142, "02882210910320282": 142, "01981823705136776": 142, "0006698438664898276": 142, "06663370877504349": 142, "012694410048425198": 142, "009785476140677929": 142, "012905721552670002": 142, "007309385575354099": 142, "010259156115353107": 142, "010632031597197056": 142, "03364702686667442": 142, "04905915632843971": 142, "03785640746355057": 142, "019403548911213875": 142, "02745550125837326": 142, "08522797375917435": 142, "2580219507217407": 142, "433729887008667": 142, "09230613708496": 142, "0766349658370018": 142, "874421119689941": 142, "057598114013672": 142, "502437710762024": 142, "274317264556885": 142, "116296768188477": 142, "23734188079834": 142, "4587957859039307": 142, "99896812438965": 142, "7493982315063477": 142, "863125324249268": 142, "059839248657227": 142, "3368972539901733": 142, "305131912231445": 142, "0653018951416": 142, "964678764343262": 142, "421882152557373": 142, "083330154418945": 142, "5670857429504395": 142, "859992504119873": 142, "086183547973633": 142, "105414390563965": 142, "269341945648193": 142, "03045082092285": 142, "1216516494750977": 142, "3585487604141235": 142, "745222091674805": 142, "3730393648147583": 142, "9148180484771729": 142, "20218849182129": 142, "0840952396392822": 142, "9385876655578613": 142, "9263458251953125": 142, "9161124229431152": 142, "9056587219238281": 142, "8957195281982422": 142, "8861255645751953": 142, "8768255710601807": 142, "8677752017974854": 142, "8587520122528076": 142, "8500878810882568": 142, "8415725231170654": 142, "832862377166748": 142, "8245854377746582": 142, "8163971900939941": 142, "8082940578460693": 142, "800269603729248": 142, "7923152446746826": 142, "7844295501708984": 142, "7766108512878418": 142, "7688369750976562": 142, "761146068572998": 142, "7535133361816406": 142, "7459383010864258": 142, "7387404441833496": 142, "7310798168182373": 142, "7236638069152832": 142, "7162988185882568": 142, "7089838981628418": 142, "7018258571624756": 142, "694732427597046": 142, "687553882598877": 142, "6804203987121582": 142, "6737120151519775": 142, "666666030883789": 142, "6596643924713135": 142, "6527059078216553": 142, "6457924842834473": 142, "6389219760894775": 142, "6320936679840088": 142, "625307559967041": 142, "6185615062713623": 142, "6118547916412354": 142, "6051433086395264": 142, "598508596420288": 142, "5919520854949951": 142, "5853824615478516": 142, "578845739364624": 142, "572340726852417": 142, "5658676624298096": 142, "5594241619110107": 142, "553086757659912": 142, "5467045307159424": 142, "5403668880462646": 142, "534045696258545": 142, "527742862701416": 142, "521484375": 142, "5151546001434326": 142, "5089662075042725": 142, "5028138160705566": 142, "4966983795166016": 142, "4914493560791016": 142, "4854142665863037": 142, "479419231414795": 142, "473464012145996": 142, "4675500392913818": 142, "461677074432373": 142, "4558463096618652": 142, "4500584602355957": 142, "444312334060669": 142, "4386110305786133": 142, "4328484535217285": 142, "4272429943084717": 142, "4216797351837158": 142, "4160799980163574": 142, "410595178604126": 142, "405165195465088": 142, "3999152183532715": 142, "394576072692871": 142, "3892791271209717": 142, "3840258121490479": 142, "3788158893585205": 142, "3736486434936523": 142, "3685247898101807": 142, "363445520401001": 142, "3584113121032715": 142, "3534493446350098": 142, "348564863204956": 142, "3437566757202148": 142, "33882737159729": 142, "3339431285858154": 142, "3295128345489502": 142, "3249971866607666": 142, "320554256439209": 142, "3160123825073242": 142, "3111894130706787": 142, "3069610595703125": 142, "3026306629180908": 142, "2985427379608154": 142, "294524908065796": 142, "2905759811401367": 142, "2866950035095215": 142, "2828826904296875": 142, "2791390419006348": 142, "2755672931671143": 142, "271956205368042": 142, "2684106826782227": 142, "2649312019348145": 142, "2615156173706055": 142, "2581653594970703": 142, "254875659942627": 142, "2514979839324951": 142, "2483315467834473": 142, "245225429534912": 142, "242177963256836": 142, "239189624786377": 142, "2362589836120605": 142, "2333853244781494": 142, "2305676937103271": 142, "2278048992156982": 142, "225095272064209": 142, "2224385738372803": 142, "219834327697754": 142, "2172801494598389": 142, "2150769233703613": 142, "2126219272613525": 142, "2102162837982178": 142, "2078585624694824": 142, "20554780960083": 142, "2030813694000244": 142, "200885534286499": 142, "1987361907958984": 142, "1966304779052734": 142, "1947352886199951": 142, "1927158832550049": 142, "1907382011413574": 142, "1886115074157715": 142, "1867170333862305": 142, "1848621368408203": 142, "1830451488494873": 142, "1812663078308105": 142, "1795239448547363": 142, "177957534790039": 142, "1762890815734863": 142, "174654483795166": 142, "1730539798736572": 142, "1714868545532227": 142, "169952630996704": 142, "168450117111206": 142, "1669790744781494": 142, "1655385494232178": 142, "164128303527832": 142, "1627473831176758": 142, "16139554977417": 142, "1599252223968506": 142, "1586041450500488": 142, "1573364734649658": 142, "1560940742492676": 142, "1548779010772705": 142, "153686761856079": 142, "1525201797485352": 142, "151376724243164": 142, "1502585411071777": 142, "149163007736206": 142, "1480908393859863": 142, "1470398902893066": 142, "1458652019500732": 142, "1447350978851318": 142, "142669677734375": 142, "1417124271392822": 142, "1407763957977295": 142, "1398606300354004": 142, "1389648914337158": 142, "137620449066162": 142, "1367640495300293": 142, "1359260082244873": 142, "1351075172424316": 142, "134308099746704": 142, "1332530975341797": 142, "132575273513794": 142, "1318316459655762": 142, "1311047077178955": 142, "1303956508636475": 142, "1297297477722168": 142, "129054069519043": 142, "1283950805664062": 142, "1277520656585693": 142, "1271252632141113": 142, "1265134811401367": 142, "1259164810180664": 142, "1253345012664795": 142, "1247668266296387": 142, "124093770980835": 142, "123556137084961": 142, "1230311393737793": 142, "122521162033081": 142, "1220803260803223": 142, "1215956211090088": 142, "1211233139038086": 142, "120741844177246": 142, "1202936172485352": 142, "1198575496673584": 142, "1194324493408203": 142, "1190185546875": 142, "1186161041259766": 142, "1182243824005127": 142, "117842435836792": 142, "1174697875976562": 142, "1171064376831055": 142, "1167526245117188": 142, "1164062023162842": 142, "1160187721252441": 142, "1156971454620361": 142, "1153826713562012": 142, "1150755882263184": 142, "114774227142334": 142, "114480972290039": 142, "1141912937164307": 142, "113908052444458": 142, "1137454509735107": 142, "1134722232818604": 142, "1132020950317383": 142, "1129357814788818": 142, "1126735210418701": 142, "1124136447906494": 142, "1121563911437988": 142, "1119015216827393": 142, "1116483211517334": 142, "111396074295044": 142, "1111443042755127": 142, "1108934879302979": 142, "1106431484222412": 142, "1103932857513428": 142, "110142469406128": 142, "1098930835723877": 142, "1096422672271729": 142, "1093616485595703": 142, "1091077327728271": 142, "1089375019073486": 142, "1084232330322266": 142, "1084058284759521": 142, "1081435680389404": 142, "107879400253296": 142, "107612133026123": 142, "10734224319458": 142, "1070702075958252": 142, "1067931652069092": 142, "1065120697021484": 142, "106226921081543": 142, "1059367656707764": 142, "1056411266326904": 142, "105339765548706": 142, "1051177978515625": 142, "1048057079315186": 142, "1044864654541016": 142, "104032039642334": 142, "103698968887329": 142, "1033575534820557": 142, "1030097007751465": 142, "1033508777618408": 142, "1029870510101318": 142, "102614164352417": 142, "1022322177886963": 142, "1018431186676025": 142, "1014442443847656": 142, "1010363101959229": 142, "100506067276001": 142, "1000823974609375": 142, "0996496677398682": 142, "0992095470428467": 142, "0987606048583984": 142, "0984575748443604": 142, "0979926586151123": 142, "0975208282470703": 142, "0970427989959717": 142, "0965592861175537": 142, "096071481704712": 142, "0955874919891357": 142, "0948150157928467": 142, "094336986541748": 142, "0938642024993896": 142, "0920510292053223": 142, "09159517288208": 142, "0910794734954834": 142, "0906283855438232": 142, "090179204940796": 142, "089733600616455": 142, "0892908573150635": 142, "0886166095733643": 142, "0881750583648682": 142, "0877351760864258": 142, "087296724319458": 142, "0862524509429932": 142, "0858173370361328": 142, "0853838920593262": 142, "0849533081054688": 142, "0845232009887695": 142, "008822254836559296": 142, "016263606026768684": 142, "017054816707968712": 142, "003918143920600414": 142, "002566075185313821": 142, "0002017816441366449": 142, "010487771593034267": 142, "02553418278694153": 142, "019442424178123474": 142, "007455069571733475": 142, "0033715469762682915": 142, "0007903302903287113": 142, "004588204901665449": 142, "0034511114936321974": 142, "00043698784429579973": 142, "00977531261742115": 142, "00038423039950430393": 142, "001248207176104188": 142, "0022774848621338606": 142, "00035754157579503953": 142, "00014682069013360888": 142, "0010144227417185903": 142, "005197969265282154": 142, "005112295038998127": 142, "00834906566888094": 142, "004853260703384876": 142, "006060290150344372": 142, "028602203354239464": 142, "04897994175553322": 142, "012084517627954483": 142, "012134065851569176": 142, "010943647474050522": 142, "016433026641607285": 142, "4040042161941528": 142, "450986385345459": 142, "003402709960938": 142, "055802974849939346": 142, "02675199508667": 142, "091583251953125": 142, "4260108470916748": 142, "4364848136901855": 142, "077030181884766": 142, "222347259521484": 142, "5459277629852295": 142, "06865692138672": 142, "84722638130188": 142, "0368146896362305": 142, "101097106933594": 142, "402703881263733": 142, "4910664558410645": 142, "024877548217773": 142, "044803142547607": 142, "5426762104034424": 142, "06890296936035": 142, "628776550292969": 142, "981826305389404": 142, "060443878173828": 142, "2294416427612305": 142, "43646764755249": 142, "081199645996094": 142, "3769073486328125": 142, "9358930587768555": 142, "7249755859375": 142, "3730131387710571": 142, "009002208709717": 142, "058578491210938": 142, "0561800003051758": 142, "5734808444976807": 142, "5655336380004883": 142, "5571212768554688": 142, "5490212440490723": 142, "5413994789123535": 142, "534353256225586": 142, "5275230407714844": 142, "5210139751434326": 142, "5147631168365479": 142, "5087716579437256": 142, "5026025772094727": 142, "4970026016235352": 142, "4915661811828613": 142, "4863190650939941": 142, "481154203414917": 142, "4761099815368652": 142, "471177577972412": 142, "4663476943969727": 142, "4617843627929688": 142, "4571423530578613": 142, "4525823593139648": 142, "448099136352539": 142, "4436886310577393": 142, "4392900466918945": 142, "4350128173828125": 142, "4307973384857178": 142, "4266364574432373": 142, "422546625137329": 142, "4184916019439697": 142, "4145395755767822": 142, "4105770587921143": 142, "4066569805145264": 142, "4027786254882812": 142, "3989408016204834": 142, "3951399326324463": 142, "3913757801055908": 142, "3877005577087402": 142, "384000539779663": 142, "3803963661193848": 142, "3767569065093994": 142, "3731207847595215": 142, "3694696426391602": 142, "3659145832061768": 142, "3623816967010498": 142, "3588690757751465": 142, "3554370403289795": 142, "3519628047943115": 142, "348503589630127": 142, "3452961444854736": 142, "3418383598327637": 142, "3384201526641846": 142, "3350157737731934": 142, "3316245079040527": 142, "3282477855682373": 142, "3248827457427979": 142, "3215317726135254": 142, "3181939125061035": 142, "3148703575134277": 142, "3115785121917725": 142, "3082854747772217": 142, "3050081729888916": 142, "301748514175415": 142, "29850435256958": 142, "2952792644500732": 142, "2920739650726318": 142, "2888870239257812": 142, "2858891487121582": 142, "2827377319335938": 142, "2795283794403076": 142, "2764196395874023": 142, "2733347415924072": 142, "270272970199585": 142, "2672350406646729": 142, "26422119140625": 142, "26112699508667": 142, "2581639289855957": 142, "255225658416748": 142, "2523143291473389": 142, "2494287490844727": 142, "2465713024139404": 142, "2437410354614258": 142, "2409389019012451": 142, "238163948059082": 142, "2354180812835693": 142, "232306718826294": 142, "2296159267425537": 142, "2269558906555176": 142, "22432541847229": 142, "221726894378662": 142, "219358205795288": 142, "2165734767913818": 142, "214071273803711": 142, "211700201034546": 142, "2092642784118652": 142, "2068614959716797": 142, "2044944763183594": 142, "202160358428955": 142, "1998629570007324": 142, "1975998878479004": 142, "1954944133758545": 142, "1933016777038574": 142, "1911439895629883": 142, "1890220642089844": 142, "1869349479675293": 142, "184882402420044": 142, "1828649044036865": 142, "1808834075927734": 142, "1789369583129883": 142, "1770238876342773": 142, "1751458644866943": 142, "1733033657073975": 142, "1714928150177002": 142, "1697161197662354": 142, "167973279953003": 142, "166262149810791": 142, "164576768875122": 142, "1628859043121338": 142, "1612706184387207": 142, "159686803817749": 142, "1581361293792725": 142, "1566145420074463": 142, "1550836563110352": 142, "153623104095459": 142, "152191400527954": 142, "1507887840270996": 142, "1492292881011963": 142, "1478278636932373": 142, "1465137004852295": 142, "1452240943908691": 142, "1439614295959473": 142, "1427230834960938": 142, "141510009765625": 142, "1403179168701172": 142, "1391510963439941": 142, "13787841796875": 142, "136753797531128": 142, "1356494426727295": 142, "13470458984375": 142, "1336393356323242": 142, "132591724395752": 142, "1315619945526123": 142, "13094162940979": 142, "1299443244934082": 142, "1281518936157227": 142, "126863956451416": 142, "1259071826934814": 142, "1249797344207764": 142, "1240673065185547": 142, "1231658458709717": 142, "1222755908966064": 142, "1213963031768799": 142, "1205284595489502": 142, "11967134475708": 142, "1188247203826904": 142, "117987871170044": 142, "117161750793457": 142, "1163442134857178": 142, "1156389713287354": 142, "1148433685302734": 142, "114058256149292": 142, "1132829189300537": 142, "1125168800354004": 142, "1117608547210693": 142, "1110150814056396": 142, "1102769374847412": 142, "1095492839813232": 142, "108830213546753": 142, "1081194877624512": 142, "1074180603027344": 142, "1067249774932861": 142, "1060404777526855": 142, "1053645610809326": 142, "1048979759216309": 142, "1040294170379639": 142, "1032512187957764": 142, "102609634399414": 142, "1019766330718994": 142, "1013517379760742": 142, "100733757019043": 142, "1001231670379639": 142, "0995204448699951": 142, "0989253520965576": 142, "097825288772583": 142, "0972509384155273": 142, "0966837406158447": 142, "0961227416992188": 142, "095569133758545": 142, "0950219631195068": 142, "0944809913635254": 142, "0941500663757324": 142, "0938255786895752": 142, "093303918838501": 142, "092787504196167": 142, "0920405387878418": 142, "0915353298187256": 142, "091036081314087": 142, "090541124343872": 142, "0900511741638184": 142, "089679479598999": 142, "089200496673584": 142, "0887248516082764": 142, "0882539749145508": 142, "087787389755249": 142, "0876553058624268": 142, "0871989727020264": 142, "0867464542388916": 142, "0862979888916016": 142, "0858533382415771": 142, "085411787033081": 142, "0849742889404297": 142, "0845410823822021": 142, "084111213684082": 142, "083686113357544": 142, "0832626819610596": 142, "082843542098999": 142, "0824289321899414": 142, "0820176601409912": 142, "0816099643707275": 142, "0812056064605713": 142, "0808041095733643": 142, "0804078578948975": 142, "080315351486206": 142, "0799274444580078": 142, "0795414447784424": 142, "0788185596466064": 142, "0784385204315186": 142, "078061580657959": 142, "0776875019073486": 142, "0773143768310547": 142, "0769450664520264": 142, "0765767097473145": 142, "076223373413086": 142, "0758593082427979": 142, "0754971504211426": 142, "0751359462738037": 142, "0747759342193604": 142, "0744364261627197": 142, "0731909275054932": 142, "0728411674499512": 142, "0724947452545166": 142, "0721471309661865": 142, "0718004703521729": 142, "0713274478912354": 142, "0709824562072754": 142, "0706379413604736": 142, "0702931880950928": 142, "0699474811553955": 142, "0703697204589844": 142, "0700349807739258": 142, "0697004795074463": 142, "069366216659546": 142, "0690340995788574": 142, "0687010288238525": 142, "0680367946624756": 142, "0677051544189453": 142, "0673730373382568": 142, "067042589187622": 142, "0667107105255127": 142, "0663797855377197": 142, "0660481452941895": 142, "0657157897949219": 142, "065384864807129": 142, "0650525093078613": 142, "064720630645752": 142, "064387321472168": 142, "0651986598968506": 142, "0648736953735352": 142, "0645508766174316": 142, "0642263889312744": 142, "063901662826538": 142, "0635762214660645": 142, "0632507801055908": 142, "062925100326538": 142, "0625996589660645": 142, "06227445602417": 142, "0619513988494873": 142, "061629056930542": 142, "0613093376159668": 142, "060990333557129": 142, "0606746673583984": 142, "0603606700897217": 142, "0600507259368896": 142, "0597472190856934": 142, "0594005584716797": 142, "0591075420379639": 142, "0588221549987793": 142, "058546543121338": 142, "0582799911499023": 142, "0577785968780518": 142, "0575473308563232": 142, "0573296546936035": 142, "0571258068084717": 142, "056636095046997": 142, "0564656257629395": 142, "0563127994537354": 142, "0011917712399736047": 142, "01594514586031437": 142, "0026736524887382984": 142, "003364337608218193": 142, "0013253451324999332": 142, "0023858954664319754": 142, "0004191641346551478": 142, "004313822370022535": 142, "722385973669589e": 142, "00450210552662611": 142, "011592624709010124": 142, "0009650368010625243": 142, "013338708318769932": 142, "012421699240803719": 142, "003363144351169467": 142, "000896015961188823": 142, "003473440185189247": 142, "002676646690815687": 142, "0017712180269882083": 142, "009284468367695808": 142, "6646879632608034e": 142, "005134020932018757": 142, "006002769339829683": 142, "00022636739595327526": 142, "0043289815075695515": 142, "002355240983888507": 142, "0010657461825758219": 142, "005130529869347811": 142, "01877196691930294": 142, "0032671154476702213": 142, "011016798205673695": 142, "004697122611105442": 142, "002433609450235963": 142, "4009411334991455": 142, "5253548622131348": 142, "019681930541992": 142, "012612505815923214": 142, "90569543838501": 142, "065685272216797": 142, "395932912826538": 142, "379973888397217": 142, "108840942382812": 142, "221609115600586": 142, "4648852348327637": 142, "079116821289062": 142, "809694528579712": 142, "905361175537109": 142, "06490135192871": 142, "3852993249893188": 142, "344501972198486": 142, "06039047241211": 142, "028092384338379": 142, "4732210636138916": 142, "07666015625": 142, "630791664123535": 142, "814610004425049": 142, "002426147460938": 142, "159493446350098": 142, "405372619628906": 142, "080442428588867": 142, "923478603363037": 142, "270565032958984": 142, "724929809570312": 142, "9783332347869873": 142, "340644836425781": 142, "047822952270508": 142, "090752363204956": 142, "7958881855010986": 142, "7825384140014648": 142, "771646499633789": 142, "762451410293579": 142, "7531118392944336": 142, "744225025177002": 142, "7354576587677002": 142, "7267427444458008": 142, "718442440032959": 142, "709763526916504": 142, "7010154724121094": 142, "692413568496704": 142, "6841766834259033": 142, "6762609481811523": 142, "6686327457427979": 142, "6612563133239746": 142, "6546199321746826": 142, "6476705074310303": 142, "6409144401550293": 142, "6339759826660156": 142, "627561330795288": 142, "621297836303711": 142, "6154329776763916": 142, "6095237731933594": 142, "6036591529846191": 142, "5979113578796387": 142, "5922720432281494": 142, "5869319438934326": 142, "5814924240112305": 142, "5761451721191406": 142, "571033000946045": 142, "5658574104309082": 142, "5609190464019775": 142, "5558984279632568": 142, "5509345531463623": 142, "5460457801818848": 142, "5412304401397705": 142, "536482334136963": 142, "5317983627319336": 142, "5271778106689453": 142, "522618293762207": 142, "5181169509887695": 142, "5129663944244385": 142, "5085558891296387": 142, "504197359085083": 142, "4998893737792969": 142, "4956603050231934": 142, "491450548171997": 142, "4872848987579346": 142, "4831609725952148": 142, "479079246520996": 142, "4750359058380127": 142, "4710326194763184": 142, "4670677185058594": 142, "4630818367004395": 142, "4591951370239258": 142, "4553451538085938": 142, "451533317565918": 142, "447758674621582": 142, "4440228939056396": 142, "4403252601623535": 142, "4366672039031982": 142, "433048963546753": 142, "4294698238372803": 142, "4262804985046387": 142, "4227776527404785": 142, "4193146228790283": 142, "415891170501709": 142, "412508249282837": 142, "4091620445251465": 142, "405855655670166": 142, "4025871753692627": 142, "3993558883666992": 142, "3961617946624756": 142, "39300537109375": 142, "3898847103118896": 142, "3869576454162598": 142, "3839137554168701": 142, "3806803226470947": 142, "3777127265930176": 142, "3747782707214355": 142, "3718757629394531": 142, "3690056800842285": 142, "3661787509918213": 142, "3633668422698975": 142, "3605835437774658": 142, "3578295707702637": 142, "3551039695739746": 142, "3524067401885986": 142, "3497352600097656": 142, "3470914363861084": 142, "3444733619689941": 142, "3418593406677246": 142, "3392913341522217": 142, "336601734161377": 142, "3340847492218018": 142, "3315908908843994": 142, "3291213512420654": 142, "3266735076904297": 142, "3242485523223877": 142, "3218464851379395": 142, "3194668292999268": 142, "3173809051513672": 142, "3150427341461182": 142, "3127245903015137": 142, "3104274272918701": 142, "308152675628662": 142, "3058981895446777": 142, "3032236099243164": 142, "3010122776031494": 142, "2988226413726807": 142, "296654224395752": 142, "2945077419281006": 142, "2923834323883057": 142, "2902805805206299": 142, "2881999015808105": 142, "2861406803131104": 142, "2841033935546875": 142, "2820868492126465": 142, "2800915241241455": 142, "2781176567077637": 142, "2761638164520264": 142, "2742316722869873": 142, "2723197937011719": 142, "2703595161437988": 142, "268486738204956": 142, "2666337490081787": 142, "2650747299194336": 142, "2632596492767334": 142, "2614619731903076": 142, "2596824169158936": 142, "2578577995300293": 142, "2561125755310059": 142, "254385232925415": 142, "2526743412017822": 142, "2509782314300537": 142, "2492997646331787": 142, "2476348876953125": 142, "245983600616455": 142, "2443466186523438": 142, "242724895477295": 142, "241114616394043": 142, "2395169734954834": 142, "2379326820373535": 142, "2363593578338623": 142, "2345695495605469": 142, "2330169677734375": 142, "2313709259033203": 142, "2298412322998047": 142, "2283225059509277": 142, "2268140316009521": 142, "2253153324127197": 142, "2238264083862305": 142, "222435474395752": 142, "2209680080413818": 142, "2195098400115967": 142, "2180607318878174": 142, "2166204452514648": 142, "21512770652771": 142, "2137069702148438": 142, "2122948169708252": 142, "2108912467956543": 142, "2094976902008057": 142, "2081122398376465": 142, "2063329219818115": 142, "2049658298492432": 142, "203606367111206": 142, "2022557258605957": 142, "200913429260254": 142, "199580192565918": 142, "1982557773590088": 142, "1969385147094727": 142, "1956300735473633": 142, "1943306922912598": 142, "1930396556854248": 142, "1917564868927002": 142, "1904821395874023": 142, "1892156600952148": 142, "1879584789276123": 142, "1867082118988037": 142, "1850175857543945": 142, "1837921142578125": 142, "1825730800628662": 142, "181361436843872": 142, "1801588535308838": 142, "178964376449585": 142, "1777780055999756": 142, "1767206192016602": 142, "1754634380340576": 142, "1743042469024658": 142, "1730387210845947": 142, "1718158721923828": 142, "1700866222381592": 142, "1686921119689941": 142, "1675763130187988": 142, "1664700508117676": 142, "1653721332550049": 142, "1642823219299316": 142, "1632020473480225": 142, "1621298789978027": 142, "161067008972168": 142, "16001296043396": 142, "1589691638946533": 142, "1579346656799316": 142, "156770944595337": 142, "1557564735412598": 142, "1547520160675049": 142, "1537566184997559": 142, "1526756286621094": 142, "1517000198364258": 142, "1507327556610107": 142, "1497743129730225": 142, "1488258838653564": 142, "1478862762451172": 142, "146824598312378": 142, "1459026336669922": 142, "1447043418884277": 142, "1437442302703857": 142, "1429648399353027": 142, "1420729160308838": 142, "1415801048278809": 142, "1407032012939453": 142, "1398346424102783": 142, "1390089988708496": 142, "1381568908691406": 142, "1373121738433838": 142, "1364753246307373": 142, "13559889793396": 142, "1347789764404297": 142, "1342780590057373": 142, "1334736347198486": 142, "1326773166656494": 142, "1318893432617188": 142, "131119728088379": 142, "1303479671478271": 142, "1295838356018066": 142, "1287789344787598": 142, "1280310153961182": 142, "1272904872894287": 142, "126558542251587": 142, "1259300708770752": 142, "1252148151397705": 142, "1245076656341553": 142, "123807430267334": 142, "1231155395507812": 142, "1224305629730225": 142, "1217527389526367": 142, "1210823059082031": 142, "1205573081970215": 142, "1199004650115967": 142, "119248628616333": 142, "1186044216156006": 142, "1179659366607666": 142, "117332935333252": 142, "1167516708374023": 142, "11613130569458": 142, "1155169010162354": 142, "1147198677062988": 142, "1141140460968018": 142, "113513469696045": 142, "1129157543182373": 142, "1123228073120117": 142, "1117329597473145": 142, "110933542251587": 142, "1103498935699463": 142, "1097688674926758": 142, "109189748764038": 142, "1086137294769287": 142, "1080398559570312": 142, "1070797443389893": 142, "1065082550048828": 142, "105860710144043": 142, "1052908897399902": 142, "1047239303588867": 142, "104156255722046": 142, "1035926342010498": 142, "103029489517212": 142, "1024680137634277": 142, "1019079685211182": 142, "101348638534546": 142, "1007914543151855": 142, "1002352237701416": 142, "0996794700622559": 142, "0991246700286865": 142, "0985713005065918": 142, "0980195999145508": 142, "097468614578247": 142, "0969183444976807": 142, "0963706970214844": 142, "0958235263824463": 142, "0952794551849365": 142, "0948925018310547": 142, "0943527221679688": 142, "0938141345977783": 142, "093278169631958": 142, "0927455425262451": 142, "0922143459320068": 142, "0918009281158447": 142, "0912754535675049": 142, "736967184726382e": 142, "023138193413615227": 142, "0009509584051556885": 142, "0002786618424579501": 142, "017755812034010887": 142, "510520400595851e": 142, "012641909532248974": 142, "026570063084363937": 142, "00965170469135046": 142, "001956096151843667": 142, "02096707746386528": 142, "001084418734535575": 142, "0027623253408819437": 142, "018055450171232224": 142, "001038229325786233": 142, "002644734689965844": 142, "018703404814004898": 142, "0026715691201388836": 142, "002282660687342286": 142, "02149597741663456": 142, "0007818255689926445": 142, "0006016047555021942": 142, "0062017301097512245": 142, "007951498031616211": 142, "004233854357153177": 142, "013827325776219368": 142, "005730097182095051": 142, "0049627963453531265": 142, "056095775216817856": 142, "009983752854168415": 142, "07112353295087814": 142, "02790350466966629": 142, "009679130278527737": 142, "441389799118042": 142, "464341402053833": 142, "045166015625": 142, "020479248836636543": 142, "918093204498291": 142, "3965730667114258": 142, "349137306213379": 142, "06892204284668": 142, "224191188812256": 142, "4648561477661133": 142, "04711151123047": 142, "8339831829071045": 142, "9065704345703125": 142, "073556900024414": 142, "4127651453018188": 142, "328145503997803": 142, "041860580444336": 142, "0581560134887695": 142, "4705429077148438": 142, "145809173583984": 142, "64576530456543": 142, "921819686889648": 142, "052942276000977": 142, "254558086395264": 142, "32848596572876": 142, "043933868408203": 142, "4213550090789795": 142, "3248119354248047": 142, "14069938659668": 142, "8927891254425049": 142, "0818192958831787": 142, "46969985961914": 142, "9951195120811462": 142, "3673906326293945": 142, "3572964668273926": 142, "3502452373504639": 142, "3433940410614014": 142, "3365395069122314": 142, "3296928405761719": 142, "3228652477264404": 142, "3158156871795654": 142, "308950662612915": 142, "3020851612091064": 142, "2952210903167725": 142, "2883641719818115": 142, "2815160751342773": 142, "274683952331543": 142, "2678673267364502": 142, "2611420154571533": 142, "2543766498565674": 142, "2476391792297363": 142, "2412035465240479": 142, "2350842952728271": 142, "229154109954834": 142, "2231061458587646": 142, "217226266860962": 142, "2114977836608887": 142, "205916166305542": 142, "2004773616790771": 142, "1951770782470703": 142, "1900088787078857": 142, "1849908828735352": 142, "180079698562622": 142, "1752898693084717": 142, "1706197261810303": 142, "1660642623901367": 142, "1616218090057373": 142, "1572880744934082": 142, "153062105178833": 142, "1489415168762207": 142, "144968032836914": 142, "1410508155822754": 142, "1372320652008057": 142, "1335110664367676": 142, "1263599395751953": 142, "1227505207061768": 142, "119455099105835": 142, "116328477859497": 142, "1131725311279297": 142, "1102573871612549": 142, "107292890548706": 142, "1044206619262695": 142, "101639747619629": 142, "0989315509796143": 142, "096329689025879": 142, "0937929153442383": 142, "091217279434204": 142, "0888705253601074": 142, "0866119861602783": 142, "0843572616577148": 142, "0822749137878418": 142, "0802788734436035": 142, "078366756439209": 142, "0765411853790283": 142, "0748004913330078": 142, "0731406211853027": 142, "0715622901916504": 142, "0700652599334717": 142, "0687713623046875": 142, "0674293041229248": 142, "0660231113433838": 142, "0648338794708252": 142, "0637190341949463": 142, "0626778602600098": 142, "0617082118988037": 142, "0608093738555908": 142, "0599842071533203": 142, "0592286586761475": 142, "0586204528808594": 142, "0580079555511475": 142, "0574610233306885": 142, "0569813251495361": 142, "0565645694732666": 142, "0562069416046143": 142, "0559008121490479": 142, "0556440353393555": 142, "055429458618164": 142, "0552515983581543": 142, "055109977722168": 142, "0547120571136475": 142, "0546269416809082": 142, "054570198059082": 142, "054490327835083": 142, "0544846057891846": 142, "0545024871826172": 142, "0545432567596436": 142, "054602861404419": 142, "0546815395355225": 142, "0547749996185303": 142, "0548834800720215": 142, "0549993515014648": 142, "0551249980926514": 142, "055255651473999": 142, "0552852153778076": 142, "0554211139678955": 142, "055555820465088": 142, "0556902885437012": 142, "0558204650878906": 142, "0559492111206055": 142, "0547759532928467": 142, "0549159049987793": 142, "0550110340118408": 142, "055098295211792": 142, "055180549621582": 142, "0552561283111572": 142, "0553247928619385": 142, "0553867816925049": 142, "0554440021514893": 142, "0554924011230469": 142, "0555334091186523": 142, "0555708408355713": 142, "055598258972168": 142, "0555922985076904": 142, "0556042194366455": 142, "0556056499481201": 142, "0555951595306396": 142, "055574893951416": 142, "055544376373291": 142, "0554523468017578": 142, "0553951263427734": 142, "0553278923034668": 142, "0552465915679932": 142, "0551536083221436": 142, "0550463199615479": 142, "0550141334533691": 142, "0547599792480469": 142, "0546112060546875": 142, "0544488430023193": 142, "0542738437652588": 142, "0541458129882812": 142, "0539426803588867": 142, "0537242889404297": 142, "0534915924072266": 142, "0532457828521729": 142, "0527114868164062": 142, "052443265914917": 142, "0521273612976074": 142, "0518345832824707": 142, "0515294075012207": 142, "051213026046753": 142, "0508854389190674": 142, "0505471229553223": 142, "0501973628997803": 142, "0498380661010742": 142, "0494694709777832": 142, "0490906238555908": 142, "048703670501709": 142, "0483076572418213": 142, "047903299331665": 142, "0474932193756104": 142, "047074317932129": 142, "0466489791870117": 142, "046217679977417": 142, "0457823276519775": 142, "0451745986938477": 142, "044722318649292": 142, "044266700744629": 142, "043806791305542": 142, "0433423519134521": 142, "0423970222473145": 142, "041919469833374": 142, "0414397716522217": 142, "0409369468688965": 142, "040454626083374": 142, "039968729019165": 142, "0394787788391113": 142, "038987398147583": 142, "038494348526001": 142, "0379984378814697": 142, "037501335144043": 142, "037001609802246": 142, "0365004539489746": 142, "0359981060028076": 142, "0354938507080078": 142, "0349888801574707": 142, "0344834327697754": 142, "0339772701263428": 142, "0334694385528564": 142, "0329632759094238": 142, "0324556827545166": 142, "0319478511810303": 142, "0314395427703857": 142, "0308825969696045": 142, "0303754806518555": 142, "0298669338226318": 142, "029360294342041": 142, "0288522243499756": 142, "0283455848693848": 142, "0278401374816895": 142, "027334213256836": 142, "026953935623169": 142, "0264477729797363": 142, "025942087173462": 142, "0254366397857666": 142, "0249297618865967": 142, "0248727798461914": 142, "0243644714355469": 142, "0238564014434814": 142, "0233476161956787": 142, "0228383541107178": 142, "0222420692443848": 142, "021735668182373": 142, "0212290287017822": 142, "0207233428955078": 142, "0202186107635498": 142, "0198166370391846": 142, "0193116664886475": 142, "0188074111938477": 142, "0183045864105225": 142, "0178024768829346": 142, "017303466796875": 142, "0165903568267822": 142, "0160911083221436": 142, "0155959129333496": 142, "0151047706604004": 142, "0146160125732422": 142, "0141303539276123": 142, "0136492252349854": 142, "0131709575653076": 142, "0126972198486328": 142, "0122284889221191": 142, "011765956878662": 142, "011308193206787": 142, "010857343673706": 142, "010411262512207": 142, "0099709033966064": 142, "0095369815826416": 142, "009110927581787": 142, "0086901187896729": 142, "0078694820404053": 142, "0074706077575684": 142, "0070784091949463": 142, "00669264793396": 142, "006314754486084": 142, "0059447288513184": 142, "0055842399597168": 142, "0048840045928955": 142, "0045723915100098": 142, "0042438507080078": 142, "003922462463379": 142, "003610372543335": 142, "0035343170166016": 142, "0032415390014648": 142, "002955675125122": 142, "002715826034546": 142, "0024473667144775": 142, "002187728881836": 142, "0019330978393555": 142, "00168776512146": 142, "0014491081237793": 142, "0012173652648926": 142, "000993013381958": 142, "0007753372192383": 142, "0005640983581543": 142, "0003597736358643": 142, "0001614093780518": 142, "9999691843986511": 142, "999782145023346": 142, "9996029734611511": 142, "9994279742240906": 142, "9992569088935852": 142, "9990920424461365": 142, "9989295601844788": 142, "9987735152244568": 142, "9986200928688049": 142, "9984726309776306": 142, "997846782207489": 142, "9977079033851624": 142, "9975727200508118": 142, "997104823589325": 142, "9969764351844788": 142, "9968515038490295": 142, "9967288374900818": 142, "9966095089912415": 142, "9964914917945862": 142, "9963746666908264": 142, "9962607026100159": 142, "9961474537849426": 142, "9960373044013977": 142, "9959294199943542": 142, "9958251118659973": 142, "9957451224327087": 142, "9956446290016174": 142, "9955442547798157": 142, "9954481720924377": 142, "9953523278236389": 142, "9952588677406311": 142, "9951663613319397": 142, "01027118880301714": 142, "0053436290472745895": 142, "0006751822656951845": 142, "00838360097259283": 142, "008814834989607334": 142, "001196497236378491": 142, "007483808323740959": 142, "005862250458449125": 142, "003703666152432561": 142, "004653218202292919": 142, "006009696517139673": 142, "002444653306156397": 142, "006779407616704702": 142, "005566267762333155": 142, "004906513728201389": 142, "00552490446716547": 142, "0037734834477305412": 142, "0025913710705935955": 142, "009301622398197651": 142, "006533677224069834": 142, "012146156281232834": 142, "005695084575563669": 142, "007332871202379465": 142, "002307173563167453": 142, "008218254894018173": 142, "0018738405779004097": 142, "0017813880695030093": 142, "011903549544513226": 142, "024914907291531563": 142, "001233810093253851": 142, "006041450425982475": 142, "009470337070524693": 142, "02134883590042591": 142, "4347537755966187": 142, "41916823387146": 142, "061294555664062": 142, "020878387615084648": 142, "871162414550781": 142, "053876876831055": 142, "3792576789855957": 142, "312745571136475": 142, "084779739379883": 142, "2655792236328125": 142, "4156789779663086": 142, "075143814086914": 142, "8726582527160645": 142, "824563980102539": 142, "109525680541992": 142, "3847341537475586": 142, "358132839202881": 142, "007177352905273": 142, "086455345153809": 142, "4269137382507324": 142, "066205978393555": 142, "718249797821045": 142, "853311538696289": 142, "037057876586914": 142, "297480583190918": 142, "329797744750977": 142, "06950569152832": 142, "126836061477661": 142, "790899753570557": 142, "90408706665039": 142, "8749237060546875": 142, "355775833129883": 142, "367847442626953": 142, "1286039352416992": 142, "026366949081421": 142, "015411615371704": 142, "006772756576538": 142, "9982244968414307": 142, "989530086517334": 142, "9808316230773926": 142, "972618818283081": 142, "9649639129638672": 142, "957773208618164": 142, "9512419700622559": 142, "9447615146636963": 142, "938185691833496": 142, "9319000244140625": 142, "9260978698730469": 142, "9204368591308594": 142, "914827585220337": 142, "9093773365020752": 142, "904127836227417": 142, "8989157676696777": 142, "8937585353851318": 142, "8886950016021729": 142, "8837060928344727": 142, "8791155815124512": 142, "8742339611053467": 142, "8693914413452148": 142, "8646926879882812": 142, "8599061965942383": 142, "8551392555236816": 142, "8508632183074951": 142, "8461177349090576": 142, "841378927230835": 142, "8366446495056152": 142, "8319079875946045": 142, "8271715641021729": 142, "822432041168213": 142, "8176863193511963": 142, "8129358291625977": 142, "8081777095794678": 142, "803412675857544": 142, "7986392974853516": 142, "7938594818115234": 142, "789069414138794": 142, "7842719554901123": 142, "7793920040130615": 142, "7745649814605713": 142, "7697296142578125": 142, "765000343322754": 142, "7601516246795654": 142, "755298137664795": 142, "7504417896270752": 142, "7455816268920898": 142, "7407195568084717": 142, "7358567714691162": 142, "7309942245483398": 142, "726130723953247": 142, "7212700843811035": 142, "7164103984832764": 142, "7115540504455566": 142, "7067017555236816": 142, "701854944229126": 142, "6970131397247314": 142, "6921789646148682": 142, "687352180480957": 142, "6825342178344727": 142, "677727222442627": 142, "672929048538208": 142, "6681451797485352": 142, "6633737087249756": 142, "658616304397583": 142, "6538734436035156": 142, "649146556854248": 142, "6444368362426758": 142, "6397426128387451": 142, "6350669860839844": 142, "63041090965271": 142, "6257736682891846": 142, "621155023574829": 142, "6165575981140137": 142, "6118907928466797": 142, "6073341369628906": 142, "6027987003326416": 142, "5982840061187744": 142, "5937914848327637": 142, "5893199443817139": 142, "584871530532837": 142, "580444097518921": 142, "5762240886688232": 142, "5718421936035156": 142, "5674822330474854": 142, "5631434917449951": 142, "5583257675170898": 142, "5540244579315186": 142, "5497455596923828": 142, "5454869270324707": 142, "5412509441375732": 142, "5370357036590576": 142, "5331919193267822": 142, "5290238857269287": 142, "5248141288757324": 142, "5207979679107666": 142, "51670241355896": 142, "5126292705535889": 142, "5085792541503906": 142, "5045523643493652": 142, "5005478858947754": 142, "4965667724609375": 142, "4926068782806396": 142, "48866868019104": 142, "4847526550292969": 142, "4808566570281982": 142, "476980447769165": 142, "4731245040893555": 142, "469287633895874": 142, "4654700756072998": 142, "4613404273986816": 142, "4575755596160889": 142, "4538276195526123": 142, "4500980377197266": 142, "446387767791748": 142, "4426970481872559": 142, "439023733139038": 142, "4354772567749023": 142, "4318439960479736": 142, "4282300472259521": 142, "4246368408203125": 142, "42106294631958": 142, "4175095558166504": 142, "413888931274414": 142, "4103832244873047": 142, "4068963527679443": 142, "4034299850463867": 142, "3999838829040527": 142, "396559238433838": 142, "3927440643310547": 142, "3893611431121826": 142, "3859422206878662": 142, "382601261138916": 142, "379281759262085": 142, "3759820461273193": 142, "3727045059204102": 142, "3694477081298828": 142, "3662731647491455": 142, "3630576133728027": 142, "359863519668579": 142, "3565750122070312": 142, "3534252643585205": 142, "3502955436706543": 142, "3471877574920654": 142, "3441009521484375": 142, "3410353660583496": 142, "3379902839660645": 142, "3349666595458984": 142, "3319635391235352": 142, "328981637954712": 142, "3260202407836914": 142, "3230798244476318": 142, "3202338218688965": 142, "317333459854126": 142, "314453125": 142, "3115932941436768": 142, "3087539672851562": 142, "3059344291687012": 142, "3031353950500488": 142, "3003568649291992": 142, "2975995540618896": 142, "2948620319366455": 142, "2921457290649414": 142, "289449691772461": 142, "286773920059204": 142, "2841196060180664": 142, "2814862728118896": 142, "2789900302886963": 142, "2763984203338623": 142, "273679256439209": 142, "271178960800171": 142, "2686550617218018": 142, "266153335571289": 142, "263674020767212": 142, "2612183094024658": 142, "2587847709655762": 142, "2563741207122803": 142, "2539877891540527": 142, "2516241073608398": 142, "2492852210998535": 142, "246821641921997": 142, "2445306777954102": 142, "2423338890075684": 142, "2400858402252197": 142, "2378625869750977": 142, "235663652420044": 142, "2334895133972168": 142, "2313411235809326": 142, "2292182445526123": 142, "2271199226379395": 142, "2250475883483887": 142, "22300124168396": 142, "220980167388916": 142, "2189843654632568": 142, "2170157432556152": 142, "2150731086730957": 142, "2131569385528564": 142, "2112665176391602": 142, "2094142436981201": 142, "2075772285461426": 142, "205765724182129": 142, "2039802074432373": 142, "2022221088409424": 142, "2004895210266113": 142, "1987838745117188": 142, "1971042156219482": 142, "195451021194458": 142, "193824052810669": 142, "1906490325927734": 142, "1891005039215088": 142, "1875784397125244": 142, "1860828399658203": 142, "18461275100708": 142, "1831703186035156": 142, "1817529201507568": 142, "1803629398345947": 142, "17899751663208": 142, "1776599884033203": 142, "1763479709625244": 142, "1750617027282715": 142, "1738789081573486": 142, "172647476196289": 142, "1713507175445557": 142, "170170783996582": 142, "169015884399414": 142, "1678855419158936": 142, "1667819023132324": 142, "165764570236206": 142, "1642296314239502": 142, "1632006168365479": 142, "1619842052459717": 142, "16098952293396": 142, "1600372791290283": 142, "1579694747924805": 142, "1570866107940674": 142, "156226396560669": 142, "1553881168365479": 142, "1545724868774414": 142, "1537768840789795": 142, "1530041694641113": 142, "1522514820098877": 142, "1513850688934326": 142, "1506719589233398": 142, "1499779224395752": 142, "1491141319274902": 142, "1484565734863281": 142, "1478166580200195": 142, "1471943855285645": 142, "1465895175933838": 142, "1460015773773193": 142, "1454286575317383": 142, "144871473312378": 142, "1443288326263428": 142, "1437997817993164": 142, "1432850360870361": 142, "1427826881408691": 142, "142293930053711": 142, "1418168544769287": 142, "1413509845733643": 142, "1408958435058594": 142, "1404509544372559": 142, "1400160789489746": 142, "1395902633666992": 142, "1391944885253906": 142, "1387860774993896": 142, "1383838653564453": 142, "137988805770874": 142, "1375997066497803": 142, "1372177600860596": 142, "1369891166687012": 142, "1366174221038818": 142, "1362497806549072": 142, "1358859539031982": 142, "135526180267334": 142, "1351697444915771": 142, "1348159313201904": 142, "1344642639160156": 142, "134110927581787": 142, "1337618827819824": 142, "1334149837493896": 142, "1330690383911133": 142, "1327250003814697": 142, "1323809623718262": 142, "13203763961792": 142, "1316945552825928": 142, "1313517093658447": 142, "1310093402862549": 142, "1306664943695068": 142, "1303231716156006": 142, "1299805641174316": 142, "1296374797821045": 142, "129293441772461": 142, "12894868850708": 142, "00023511411563958973": 142, "00018339947564527392": 142, "005521022714674473": 142, "0017845348920673132": 142, "0023027374409139156": 142, "0035904624965041876": 142, "006088175345212221": 142, "0034812900703400373": 142, "01009515393525362": 142, "003456363221630454": 142, "0016142672393471003": 142, "006994626484811306": 142, "0014992638025432825": 142, "012594794854521751": 142, "009238824248313904": 142, "014306584373116493": 142, "013278726488351822": 142, "007793207187205553": 142, "0025784624740481377": 142, "0010581231908872724": 142, "005401751026511192": 142, "014462284743785858": 142, "0059235580265522": 142, "0028607998974621296": 142, "01602657325565815": 142, "0004986969288438559": 142, "01277365256100893": 142, "023290377110242844": 142, "07931846380233765": 142, "03283388167619705": 142, "015812784433364868": 142, "006708620581775904": 142, "05655232071876526": 142, "329268217086792": 142, "3784427642822266": 142, "087369918823242": 142, "1438242346048355": 142, "7976155281066895": 142, "024906158447266": 142, "493232250213623": 142, "277980327606201": 142, "08942985534668": 142, "161661624908447": 142, "386594772338867": 142, "7247350215911865": 142, "764707088470459": 142, "09811782836914": 142, "2836076021194458": 142, "284120082855225": 142, "11018943786621": 142, "974654197692871": 142, "38840389251709": 142, "07046127319336": 142, "566863059997559": 142, "836310386657715": 142, "067489624023438": 142, "233307361602783": 142, "323888301849365": 142, "0010986328125": 142, "204308032989502": 142, "03895378112793": 142, "748666763305664": 142, "4238272905349731": 142, "613255977630615": 142, "170412063598633": 142, "0835363864898682": 142, "8321917057037354": 142, "8223481178283691": 142, "8130285739898682": 142, "8038244247436523": 142, "7949953079223633": 142, "787343978881836": 142, "7792792320251465": 142, "7714099884033203": 142, "7638161182403564": 142, "7562761306762695": 142, "7488725185394287": 142, "74165940284729": 142, "734668254852295": 142, "7275772094726562": 142, "7205705642700195": 142, "7136454582214355": 142, "706789493560791": 142, "7001500129699707": 142, "6935584545135498": 142, "6870079040527344": 142, "6803886890411377": 142, "6738207340240479": 142, "6673023700714111": 142, "6608152389526367": 142, "6543185710906982": 142, "6479289531707764": 142, "6415793895721436": 142, "6352667808532715": 142, "6289892196655273": 142, "6227471828460693": 142, "6165409088134766": 142, "6104240417480469": 142, "604283332824707": 142, "5981721878051758": 142, "5920920372009277": 142, "5860443115234375": 142, "5800259113311768": 142, "5740387439727783": 142, "5680830478668213": 142, "5621569156646729": 142, "5559959411621094": 142, "5503230094909668": 142, "5444941520690918": 142, "5386977195739746": 142, "532933235168457": 142, "5271999835968018": 142, "5214955806732178": 142, "5158252716064453": 142, "5101852416992188": 142, "5047543048858643": 142, "4991779327392578": 142, "493485689163208": 142, "4879753589630127": 142, "4825000762939453": 142, "477062702178955": 142, "4716622829437256": 142, "466301441192627": 142, "4609794616699219": 142, "4556982517242432": 142, "4504594802856445": 142, "4452626705169678": 142, "440110445022583": 142, "4349431991577148": 142, "4298820495605469": 142, "4248263835906982": 142, "4198644161224365": 142, "4149882793426514": 142, "4101252555847168": 142, "4053144454956055": 142, "4005553722381592": 142, "3956241607666016": 142, "3909695148468018": 142, "3863685131072998": 142, "381821632385254": 142, "377328634262085": 142, "3728892803192139": 142, "368504285812378": 142, "3641738891601562": 142, "3598980903625488": 142, "35567307472229": 142, "3515028953552246": 142, "347386121749878": 142, "343320608139038": 142, "3393080234527588": 142, "3353474140167236": 142, "33143949508667": 142, "3275847434997559": 142, "3237814903259277": 142, "3200304508209229": 142, "3163297176361084": 142, "3126823902130127": 142, "3090946674346924": 142, "3055522441864014": 142, "302063226699829": 142, "2986271381378174": 142, "295243501663208": 142, "2919113636016846": 142, "2886316776275635": 142, "2854037284851074": 142, "2822504043579102": 142, "2791283130645752": 142, "2760562896728516": 142, "2730350494384766": 142, "2700626850128174": 142, "2671403884887695": 142, "2642662525177002": 142, "261439323425293": 142, "2586572170257568": 142, "2559235095977783": 142, "2531473636627197": 142, "2500417232513428": 142, "2474353313446045": 142, "2448699474334717": 142, "2423410415649414": 142, "239851713180542": 142, "2373981475830078": 142, "234950304031372": 142, "2325680255889893": 142, "2302188873291016": 142, "2279033660888672": 142, "2256219387054443": 142, "2233715057373047": 142, "2211527824401855": 142, "218966007232666": 142, "2168097496032715": 142, "214684009552002": 142, "2125897407531738": 142, "2105250358581543": 142, "2083361148834229": 142, "206331729888916": 142, "2043564319610596": 142, "2024118900299072": 142, "2004947662353516": 142, "1984846591949463": 142, "1966278553009033": 142, "1947994232177734": 142, "1929993629455566": 142, "1912286281585693": 142, "1894853115081787": 142, "187868356704712": 142, "1861810684204102": 142, "1845316886901855": 142, "182922601699829": 142, "1811392307281494": 142, "1796092987060547": 142, "1781153678894043": 142, "1766555309295654": 142, "1752307415008545": 142, "1738390922546387": 142, "1724774837493896": 142, "1711442470550537": 142, "1698417663574219": 142, "168567180633545": 142, "1673181056976318": 142, "16609525680542": 142, "1648967266082764": 142, "163696050643921": 142, "1625430583953857": 142, "1614110469818115": 142, "1604082584381104": 142, "1593172550201416": 142, "1582460403442383": 142, "1571917533874512": 142, "1561572551727295": 142, "1551387310028076": 142, "1541354656219482": 142, "1531493663787842": 142, "1521761417388916": 142, "1512174606323242": 142, "1502718925476074": 142, "1493401527404785": 142, "1484196186065674": 142, "1475119590759277": 142, "1466624736785889": 142, "1457788944244385": 142, "1448140144348145": 142, "1439504623413086": 142, "1430964469909668": 142, "142251968383789": 142, "141416072845459": 142, "140589952468872": 142, "1397721767425537": 142, "138962984085083": 142, "1381628513336182": 142, "1373717784881592": 142, "1364850997924805": 142, "1357083320617676": 142, "1349411010742188": 142, "1341805458068848": 142, "1334295272827148": 142, "1327824592590332": 142, "132045030593872": 142, "1313164234161377": 142, "1305961608886719": 142, "1298828125": 142, "1291778087615967": 142, "1284794807434082": 142, "1277904510498047": 142, "1260929107666016": 142, "1254346370697021": 142, "124784231185913": 142, "1241424083709717": 142, "1234338283538818": 142, "1228070259094238": 142, "1221849918365479": 142, "1215686798095703": 142, "1210391521453857": 142, "1204376220703125": 142, "1198410987854004": 142, "1193337440490723": 142, "1187474727630615": 142, "118166208267212": 142, "1175909042358398": 142, "11726975440979": 142, "1161463260650635": 142, "1155898571014404": 142, "1150381565093994": 142, "114490032196045": 142, "1139461994171143": 142, "1134073734283447": 142, "1128730773925781": 142, "1123411655426025": 142, "1118144989013672": 142, "1112926006317139": 142, "1101024150848389": 142, "1096062660217285": 142, "109114408493042": 142, "1086268424987793": 142, "1079270839691162": 142, "107447624206543": 142, "1069719791412354": 142, "1065011024475098": 142, "1060352325439453": 142, "1055736541748047": 142, "1053824424743652": 142, "1049320697784424": 142, "104046106338501": 142, "1036088466644287": 142, "1031787395477295": 142, "1025910377502441": 142, "1021699905395508": 142, "101752758026123": 142, "1013405323028564": 142, "100890874862671": 142, "1004867553710938": 142, "100088119506836": 142, "0996932983398438": 142, "0992660522460938": 142, "098879337310791": 142, "098496675491333": 142, "0981168746948242": 142, "097740888595581": 142, "0973694324493408": 142, "0970022678375244": 142, "0966370105743408": 142, "0962772369384766": 142, "0957977771759033": 142, "0954456329345703": 142, "0950970649719238": 142, "0947518348693848": 142, "0944085121154785": 142, "094069480895996": 142, "093733549118042": 142, "0934011936187744": 142, "0926322937011719": 142, "0923073291778564": 142, "0919837951660156": 142, "0916621685028076": 142, "091176986694336": 142, "0908615589141846": 142, "090550422668457": 142, "0902419090270996": 142, "0899367332458496": 142, "0896353721618652": 142, "0893378257751465": 142, "0890440940856934": 142, "0887532234191895": 142, "0884666442871094": 142, "0881822109222412": 142, "087902545928955": 142, "0876257419586182": 142, "0873534679412842": 142, "0870845317840576": 142, "0868196487426758": 142, "0865583419799805": 142, "086301326751709": 142, "086047649383545": 142, "085798740386963": 142, "0855534076690674": 142, "0853126049041748": 142, "0850772857666016": 142, "0848455429077148": 142, "0846171379089355": 142, "0843877792358398": 142, "0841686725616455": 142, "0839548110961914": 142, "0837440490722656": 142, "005651234649121761": 142, "005090588703751564": 142, "005936257541179657": 142, "02535914070904255": 142, "01259992178529501": 142, "008765609003603458": 142, "007062469143420458": 142, "00010425819345982745": 142, "007357246708124876": 142, "0023192099761217833": 142, "003032670123502612": 142, "004110715817660093": 142, "006521356292068958": 142, "010232675820589066": 142, "01132827065885067": 142, "010831729508936405": 142, "0007282958249561489": 142, "011020374484360218": 142, "0060415007174015045": 142, "004504479002207518": 142, "006762166973203421": 142, "0055528199300169945": 142, "72957898536697e": 142, "0055474103428423405": 142, "00023055689234752208": 142, "001977351261302829": 142, "000893294985871762": 142, "061039891093969345": 142, "04105215519666672": 142, "043045077472925186": 142, "029819970950484276": 142, "0024786207359284163": 142, "0012341650435701013": 142, "3702226877212524": 142, "513510227203369": 142, "04026985168457": 142, "020578037947416306": 142, "921041011810303": 142, "0515079498291": 142, "442589521408081": 142, "405227184295654": 142, "15110206604004": 142, "227373123168945": 142, "5033583641052246": 142, "046260833740234": 142, "8002283573150635": 142, "928597927093506": 142, "068071365356445": 142, "4002758264541626": 142, "368398666381836": 142, "049978256225586": 142, "031039714813232": 142, "4849448204040527": 142, "072063446044922": 142, "617133617401123": 142, "911615371704102": 142, "047588348388672": 142, "1854567527771": 142, "367751121520996": 142, "044986724853516": 142, "6333234310150146": 142, "20188230276107788": 142, "141626358032227": 142, "759373426437378": 142, "1545672416687012": 142, "344907760620117": 142, "0181963443756104": 142, "4966440200805664": 142, "489487648010254": 142, "4821240901947021": 142, "4751155376434326": 142, "4682388305664062": 142, "4613888263702393": 142, "4545626640319824": 142, "4476189613342285": 142, "4408345222473145": 142, "4340734481811523": 142, "4273343086242676": 142, "4205758571624756": 142, "4138903617858887": 142, "4074022769927979": 142, "4007813930511475": 142, "3942255973815918": 142, "3878471851348877": 142, "3816306591033936": 142, "3755674362182617": 142, "3696503639221191": 142, "3638739585876465": 142, "3580868244171143": 142, "352470874786377": 142, "3471465110778809": 142, "3418841361999512": 142, "3367397785186768": 142, "3315496444702148": 142, "326627492904663": 142, "3218119144439697": 142, "317187786102295": 142, "312636137008667": 142, "308129072189331": 142, "3037207126617432": 142, "2994074821472168": 142, "2952167987823486": 142, "2910888195037842": 142, "2870514392852783": 142, "2831039428710938": 142, "2792437076568604": 142, "2754709720611572": 142, "2717840671539307": 142, "2681822776794434": 142, "264667272567749": 142, "261237621307373": 142, "2578907012939453": 142, "2546265125274658": 142, "2515861988067627": 142, "2484803199768066": 142, "245452642440796": 142, "242375373840332": 142, "2395002841949463": 142, "2366998195648193": 142, "2339727878570557": 142, "2313156127929688": 142, "2287261486053467": 142, "2262043952941895": 142, "2237491607666016": 142, "221360206604004": 142, "2190003395080566": 142, "2167398929595947": 142, "2145423889160156": 142, "2124066352844238": 142, "2103321552276611": 142, "2083182334899902": 142, "2063636779785156": 142, "2044677734375": 142, "2026314735412598": 142, "2008533477783203": 142, "1991333961486816": 142, "1974692344665527": 142, "195862054824829": 142, "1943080425262451": 142, "1926615238189697": 142, "1912124156951904": 142, "1898131370544434": 142, "1884191036224365": 142, "187117576599121": 142, "1858611106872559": 142, "184647798538208": 142, "1834759712219238": 142, "1823434829711914": 142, "1812481880187988": 142, "1801879405975342": 142, "179161548614502": 142, "1781659126281738": 142, "1772003173828125": 142, "1765995025634766": 142, "1756610870361328": 142, "174746036529541": 142, "1738550662994385": 142, "1729841232299805": 142, "172135353088379": 142, "1713039875030518": 142, "1704912185668945": 142, "169694423675537": 142, "1689133644104004": 142, "168147325515747": 142, "167396068572998": 142, "1666553020477295": 142, "1659278869628906": 142, "1652109622955322": 142, "164503574371338": 142, "1638052463531494": 142, "1631150245666504": 142, "1624324321746826": 142, "1617553234100342": 142, "161085605621338": 142, "1604199409484863": 142, "1597626209259033": 142, "1584322452545166": 142, "1579868793487549": 142, "157341480255127": 142, "1566977500915527": 142, "1560554504394531": 142, "1554532051086426": 142, "1548938751220703": 142, "1542482376098633": 142, "1536023616790771": 142, "1529531478881836": 142, "1520888805389404": 142, "1514325141906738": 142, "150771141052246": 142, "1501057147979736": 142, "1494348049163818": 142, "1487598419189453": 142, "148078441619873": 142, "147191047668457": 142, "1465070247650146": 142, "145806074142456": 142, "145000696182251": 142, "144286870956421": 142, "143566608428955": 142, "1428415775299072": 142, "1421091556549072": 142, "141371250152588": 142, "1405720710754395": 142, "1398186683654785": 142, "1390602588653564": 142, "1385242938995361": 142, "137758493423462": 142, "1383843421936035": 142, "1376190185546875": 142, "1368465423583984": 142, "1360645294189453": 142, "1354329586029053": 142, "1346359252929688": 142, "133833885192871": 142, "133023738861084": 142, "1322052478790283": 142, "1312580108642578": 142, "1304247379302979": 142, "1296322345733643": 142, "1287329196929932": 142, "1278820037841797": 142, "1270232200622559": 142, "1261582374572754": 142, "12528657913208": 142, "1244091987609863": 142, "1235239505767822": 142, "1226353645324707": 142, "1217403411865234": 142, "1208398342132568": 142, "1199357509613037": 142, "1188898086547852": 142, "1179728507995605": 142, "117053747177124": 142, "1161320209503174": 142, "115208387374878": 142, "114283561706543": 142, "1144092082977295": 142, "1130540370941162": 142, "1121459007263184": 142, "111234426498413": 142, "110323190689087": 142, "1094112396240234": 142, "1084980964660645": 142, "1075854301452637": 142, "106327772140503": 142, "105417251586914": 142, "1045076847076416": 142, "1035974025726318": 142, "1026875972747803": 142, "1017794609069824": 142, "100984811782837": 142, "1000785827636719": 142, "0991714000701904": 142, "0982658863067627": 142, "0973615646362305": 142, "0964577198028564": 142, "095555067062378": 142, "0946540832519531": 142, "0937540531158447": 142, "0928561687469482": 142, "0919604301452637": 142, "091066598892212": 142, "0901756286621094": 142, "0892868041992188": 142, "088399887084961": 142, "0875167846679688": 142, "0866353511810303": 142, "0857760906219482": 142, "0849013328552246": 142, "084028959274292": 142, "0831592082977295": 142, "0822937488555908": 142, "0814318656921387": 142, "0805740356445312": 142, "0797019004821777": 142, "0789549350738525": 142, "0781090259552002": 142, "0772674083709717": 142, "076312780380249": 142, "0754797458648682": 142, "0746631622314453": 142, "0738234519958496": 142, "0730035305023193": 142, "072188138961792": 142, "0713765621185303": 142, "0706369876861572": 142, "0698370933532715": 142, "0690393447875977": 142, "068249225616455": 142, "0674631595611572": 142, "0666823387145996": 142, "0659067630767822": 142, "065326452255249": 142, "0643792152404785": 142, "0636177062988281": 142, "0628621578216553": 142, "0621116161346436": 142, "061366319656372": 142, "0605759620666504": 142, "0598394870758057": 142, "059110403060913": 142, "058384656906128": 142, "0576646327972412": 142, "0569489002227783": 142, "0562355518341064": 142, "0555286407470703": 142, "0548253059387207": 142, "0541257858276367": 142, "0534310340881348": 142, "0527400970458984": 142, "052053451538086": 142, "0513689517974854": 142, "050689697265625": 142, "0500154495239258": 142, "049344539642334": 142, "0476984977722168": 142, "0470070838928223": 142, "046321153640747": 142, "0456748008728027": 142, "0450191497802734": 142, "0443477630615234": 142, "0436789989471436": 142, "0430176258087158": 142, "0423574447631836": 142, "041703701019287": 142, "0410549640655518": 142, "0404105186462402": 142, "0397722721099854": 142, "0391383171081543": 142, "0379226207733154": 142, "0373005867004395": 142, "0366835594177246": 142, "03607177734375": 142, "0354633331298828": 142, "0348615646362305": 142, "0342626571655273": 142, "0336675643920898": 142, "033078908920288": 142, "0324938297271729": 142, "0319137573242188": 142, "0313386917114258": 142, "0307672023773193": 142, "0302019119262695": 142, "0296399593353271": 142, "0290820598602295": 142, "0285298824310303": 142, "0279817581176758": 142, "0274381637573242": 142, "0268993377685547": 142, "0263640880584717": 142, "0258350372314453": 142, "0253100395202637": 142, "0247900485992432": 142, "02427339553833": 142, "0237603187561035": 142, "0232508182525635": 142, "0227465629577637": 142, "0222463607788086": 142, "0217506885528564": 142, "0212607383728027": 142, "0207734107971191": 142, "0202913284301758": 142, "0198156833648682": 142, "0193428993225098": 142, "0188748836517334": 142, "014231606386601925": 142, "01738053187727928": 142, "005346930120140314": 142, "00640435004606843": 142, "009296774864196777": 142, "00844122190028429": 142, "009327723644673824": 142, "014534514397382736": 142, "019092008471488953": 142, "004815524909645319": 142, "009766245260834694": 142, "0022137360647320747": 142, "0024569800589233637": 142, "0049256011843681335": 142, "005099332891404629": 142, "004633727483451366": 142, "002752525033429265": 142, "006253316532820463": 142, "003842046018689871": 142, "004193458706140518": 142, "006860105320811272": 142, "0013322263257578015": 142, "00439231563359499": 142, "006548181176185608": 142, "01104322075843811": 142, "002030454808846116": 142, "003018294693902135": 142, "056836970150470734": 142, "05847626179456711": 142, "011755158193409443": 142, "003973664715886116": 142, "07631506025791168": 142, "053878601640462875": 142, "4010194540023804": 142, "4518544673919678": 142, "067052841186523": 142, "007828004658222198": 142, "896437644958496": 142, "05278205871582": 142, "4089624881744385": 142, "351970672607422": 142, "048683166503906": 142, "216286659240723": 142, "4342126846313477": 142, "044828414916992": 142, "794314384460449": 142, "897359848022461": 142, "041664123535156": 142, "4026861190795898": 142, "337977409362793": 142, "071582794189453": 142, "051051616668701": 142, "4379749298095703": 142, "054058074951172": 142, "646868705749512": 142, "8864359855651855": 142, "190641403198242": 142, "214029788970947": 142, "353580951690674": 142, "039644241333008": 142, "560940742492676": 142, "948727130889893": 142, "19170379638672": 142, "8378987312316895": 142, "073604106903076": 142, "539087295532227": 142, "0009737014770508": 142, "5059456825256348": 142, "4976685047149658": 142, "489678144454956": 142, "4817755222320557": 142, "474273681640625": 142, "4661543369293213": 142, "459094524383545": 142, "4522244930267334": 142, "445704698562622": 142, "4391555786132812": 142, "4332098960876465": 142, "4271554946899414": 142, "42097806930542": 142, "414902925491333": 142, "4089090824127197": 142, "4030334949493408": 142, "3972504138946533": 142, "3915576934814453": 142, "3859503269195557": 142, "3804268836975098": 142, "3749830722808838": 142, "369616985321045": 142, "3643245697021484": 142, "3591046333312988": 142, "3541665077209473": 142, "349086046218872": 142, "34407377243042": 142, "3391282558441162": 142, "3342466354370117": 142, "3294272422790527": 142, "3248028755187988": 142, "3201053142547607": 142, "3154680728912354": 142, "310889482498169": 142, "3063693046569824": 142, "3018708229064941": 142, "29819655418396": 142, "2938528060913086": 142, "2895634174346924": 142, "2854795455932617": 142, "281296968460083": 142, "2771663665771484": 142, "2730870246887207": 142, "2690582275390625": 142, "2650444507598877": 142, "2611103057861328": 142, "2572259902954102": 142, "253174066543579": 142, "2493858337402344": 142, "2456445693969727": 142, "2419509887695312": 142, "2383031845092773": 142, "23469877243042": 142, "2311413288116455": 142, "2276287078857422": 142, "2241616249084473": 142, "220738410949707": 142, "2173573970794678": 142, "214057207107544": 142, "2107610702514648": 142, "207505464553833": 142, "2042896747589111": 142, "2011144161224365": 142, "194878339767456": 142, "1918163299560547": 142, "1888577938079834": 142, "1858680248260498": 142, "1829147338867188": 142, "1799938678741455": 142, "177107810974121": 142, "1742541790008545": 142, "1714351177215576": 142, "1686468124389648": 142, "1658909320831299": 142, "16316556930542": 142, "1604719161987305": 142, "157808542251587": 142, "1551737785339355": 142, "1525683403015137": 142, "149993658065796": 142, "1474456787109375": 142, "1449270248413086": 142, "14243745803833": 142, "139845848083496": 142, "137408971786499": 142, "1350021362304688": 142, "1310367584228516": 142, "12870192527771": 142, "1263961791992188": 142, "124117136001587": 142, "1230440139770508": 142, "1208581924438477": 142, "1186375617980957": 142, "1164436340332031": 142, "1142747402191162": 142, "1121339797973633": 142, "1100184917449951": 142, "107928991317749": 142, "105867624282837": 142, "103832721710205": 142, "1018226146697998": 142, "099839210510254": 142, "09788179397583": 142, "0959179401397705": 142, "0940132141113281": 142, "0921344757080078": 142, "090282678604126": 142, "088456153869629": 142, "0866546630859375": 142, "084878921508789": 142, "0828309059143066": 142, "08109712600708": 142, "0793876647949219": 142, "0777010917663574": 142, "0760376453399658": 142, "0746521949768066": 142, "0730314254760742": 142, "0714404582977295": 142, "069868564605713": 142, "0683176517486572": 142, "0667850971221924": 142, "066756010055542": 142, "0652294158935547": 142, "063722848892212": 142, "0622355937957764": 142, "0607759952545166": 142, "059662103652954": 142, "0582642555236816": 142, "0568952560424805": 142, "0555565357208252": 142, "054246187210083": 142, "0522840023040771": 142, "0510387420654297": 142, "049818515777588": 142, "04862380027771": 142, "0474574565887451": 142, "0463616847991943": 142, "0452446937561035": 142, "0441553592681885": 142, "043091058731079": 142, "042052984237671": 142, "0414113998413086": 142, "0404253005981445": 142, "0394647121429443": 142, "038529872894287": 142, "0376207828521729": 142, "0367374420166016": 142, "0358996391296387": 142, "0350680351257324": 142, "0340845584869385": 142, "0333013534545898": 142, "0325422286987305": 142, "0318076610565186": 142, "0310959815979004": 142, "0304088592529297": 142, "029806137084961": 142, "028914451599121": 142, "0282931327819824": 142, "0276906490325928": 142, "0271077156066895": 142, "0265421867370605": 142, "0259928703308105": 142, "0254592895507812": 142, "024939775466919": 142, "0244331359863281": 142, "0239393711090088": 142, "023456335067749": 142, "0229849815368652": 142, "0225229263305664": 142, "0220718383789062": 142, "0217375755310059": 142, "021305799484253": 142, "0208830833435059": 142, "0204699039459229": 142, "020066261291504": 142, "019669771194458": 142, "0177721977233887": 142, "0173990726470947": 142, "0170340538024902": 142, "0166752338409424": 142, "0163228511810303": 142, "0159764289855957": 142, "015636920928955": 142, "0153067111968994": 142, "0149812698364258": 142, "0146634578704834": 142, "0143537521362305": 142, "014049768447876": 142, "0137534141540527": 142, "0134637355804443": 142, "0130946636199951": 142, "012819766998291": 142, "0125515460968018": 142, "01228928565979": 142, "012033462524414": 142, "0117831230163574": 142, "0115394592285156": 142, "0111823081970215": 142, "0109503269195557": 142, "0107243061065674": 142, "0105020999908447": 142, "010286569595337": 142, "0100750923156738": 142, "0098676681518555": 142, "0096642971038818": 142, "009464979171753": 142, "0092692375183105": 142, "0090761184692383": 142, "008887529373169": 142, "0087013244628906": 142, "00816011428833": 142, "0079798698425293": 142, "007249355316162": 142, "007143259048462": 142, "0069725513458252": 142, "0068027973175049": 142, "0066351890563965": 142, "0064702033996582": 142, "0067453384399414": 142, "0065829753875732": 142, "006352186203003": 142, "0061910152435303": 142, "0060310363769531": 142, "005873680114746": 142, "0057175159454346": 142, "005563497543335": 142, "0054121017456055": 142, "0052618980407715": 142, "0051143169403076": 142, "0049684047698975": 142, "0048251152038574": 142, "0046849250793457": 142, "0045454502105713": 142, "0044090747833252": 142, "0042757987976074": 142, "0041441917419434": 142, "0040154457092285": 142, "0038893222808838": 142, "0037641525268555": 142, "0036442279815674": 142, "0035252571105957": 142, "0034098625183105": 142, "003295660018921": 142, "0031847953796387": 142, "0030765533447266": 142, "002959966659546": 142, "0028586387634277": 142, "0027596950531006": 142, "0026636123657227": 142, "0025715827941895": 142, "00248122215271": 142, "002394676208496": 142, "002458095550537": 142, "0024986267089844": 142, "0024220943450928": 142, "0023488998413086": 142, "0022776126861572": 142, "002249002456665": 142, "002182960510254": 142, "002120018005371": 142, "0020592212677002": 142, "0020017623901367": 142, "0019464492797852": 142, "001894235610962": 142, "001842975616455": 142, "0017952919006348": 142, "0017499923706055": 142, "0017070770263672": 142, "0016272068023682": 142, "001589298248291": 142, "0015547275543213": 142, "0015208721160889": 142, "0015408992767334": 142, "0015113353729248": 142, "0014827251434326": 142, "0014567375183105": 142, "0014307498931885": 142, "0014073848724365": 142, "0013854503631592": 142, "0013651847839355": 142, "0013458728790283": 142, "0013279914855957": 142, "0013117790222168": 142, "0012974739074707": 142, "001284122467041": 142, "0012733936309814": 142, "00126314163208": 142, "001255989074707": 142, "0012493133544922": 142, "0012457370758057": 142, "0012426376342773": 142, "0012423992156982": 142, "0012438297271729": 142, "0009617805480957": 142, "0009667873382568": 142, "006721327546983957": 142, "004871776327490807": 142, "010820184834301472": 142, "0048171356320381165": 142, "004954964853823185": 142, "009708082303404808": 142, "003935596905648708": 142, "006574247498065233": 142, "009261430241167545": 142, "009779391810297966": 142, "004146656021475792": 142, "0036234164144843817": 142, "013579096645116806": 142, "005600914359092712": 142, "0036990155931562185": 142, "005502615123987198": 142, "003290777327492833": 142, "011891406029462814": 142, "0032255901023745537": 142, "0016234657960012555": 142, "009929644875228405": 142, "0024934490211308002": 142, "0005058940732851624": 142, "032338764518499374": 142, "008611182682216167": 142, "011241327971220016": 142, "0060017770156264305": 142, "008199107833206654": 142, "919174822745845e": 142, "033404696732759476": 142, "0024342017713934183": 142, "028148900717496872": 142, "11679013073444366": 142, "421152949333191": 142, "441162347793579": 142, "07724952697754": 142, "004696268122643232": 142, "861598491668701": 142, "04140281677246": 142, "409698724746704": 142, "330625057220459": 142, "05879783630371": 142, "238761901855469": 142, "4496383666992188": 142, "059919357299805": 142, "843676805496216": 142, "848409652709961": 142, "040828704833984": 142, "407530426979065": 142, "334975242614746": 142, "13082504272461": 142, "0707879066467285": 142, "4531803131103516": 142, "054731369018555": 142, "657379150390625": 142, "880605220794678": 142, "06720733642578": 142, "287530422210693": 142, "334659099578857": 142, "024738311767578": 142, "802605390548706": 142, "950372695922852": 142, "062915802001953": 142, "5638015270233154": 142, "529257297515869": 142, "288137435913086": 142, "0693507194519043": 142, "4303934574127197": 142, "4229485988616943": 142, "4157238006591797": 142, "4086761474609375": 142, "4020085334777832": 142, "395578145980835": 142, "3892176151275635": 142, "3829894065856934": 142, "3769116401672363": 142, "3709313869476318": 142, "3651869297027588": 142, "359426498413086": 142, "3539021015167236": 142, "3486859798431396": 142, "3441383838653564": 142, "3390798568725586": 142, "3346266746520996": 142, "3303868770599365": 142, "3264293670654297": 142, "322577714920044": 142, "318885087966919": 142, "3155083656311035": 142, "3121411800384521": 142, "3088715076446533": 142, "305746078491211": 142, "3027374744415283": 142, "299839735031128": 142, "2972230911254883": 142, "2945234775543213": 142, "2919163703918457": 142, "2893931865692139": 142, "287060260772705": 142, "2846932411193848": 142, "282397747039795": 142, "2801692485809326": 142, "278003215789795": 142, "2758970260620117": 142, "2738311290740967": 142, "2718300819396973": 142, "2698769569396973": 142, "2679684162139893": 142, "265932559967041": 142, "2641026973724365": 142, "2623069286346436": 142, "2605445384979248": 142, "2588112354278564": 142, "257106065750122": 142, "2554266452789307": 142, "2537682056427002": 142, "2521302700042725": 142, "2505347728729248": 142, "2489838600158691": 142, "247474193572998": 142, "2460017204284668": 142, "244565725326538": 142, "2431628704071045": 142, "2417912483215332": 142, "2404487133026123": 142, "2391338348388672": 142, "237844705581665": 142, "2365808486938477": 142, "2353394031524658": 142, "2341063022613525": 142, "232907772064209": 142, "2317278385162354": 142, "2305669784545898": 142, "2294237613677979": 142, "2282986640930176": 142, "2271885871887207": 142, "2260947227478027": 142, "2250144481658936": 142, "2239477634429932": 142, "2228941917419434": 142, "221853256225586": 142, "220823049545288": 142, "2198059558868408": 142, "2187981605529785": 142, "217801809310913": 142, "2168142795562744": 142, "2158362865447998": 142, "2148680686950684": 142, "2139081954956055": 142, "2129578590393066": 142, "2120161056518555": 142, "211083173751831": 142, "210158348083496": 142, "2092421054840088": 142, "208333969116211": 142, "207435131072998": 142, "2065446376800537": 142, "2057280540466309": 142, "2048261165618896": 142, "2039616107940674": 142, "2031066417694092": 142, "2022590637207031": 142, "201420545578003": 142, "2006182670593262": 142, "200124740600586": 142, "1993093490600586": 142, "198502540588379": 142, "1977026462554932": 142, "1969099044799805": 142, "1961233615875244": 142, "1953434944152832": 142, "194570541381836": 142, "193802833557129": 142, "193040370941162": 142, "19228196144104": 142, "1915278434753418": 142, "1907777786254883": 142, "1900312900543213": 142, "1892876625061035": 142, "1885461807250977": 142, "1878061294555664": 142, "1870684623718262": 142, "1863317489624023": 142, "1855957508087158": 142, "1848604679107666": 142, "1841261386871338": 142, "1833913326263428": 142, "1826567649841309": 142, "1819226741790771": 142, "1811881065368652": 142, "1805815696716309": 142, "1798458099365234": 142, "1791105270385742": 142, "1783764362335205": 142, "1776437759399414": 142, "1767685413360596": 142, "1760385036468506": 142, "1753089427947998": 142, "1745812892913818": 142, "1738557815551758": 142, "1736583709716797": 142, "172933578491211": 142, "1722118854522705": 142, "1714940071105957": 142, "1700680255889893": 142, "1693596839904785": 142, "168654441833496": 142, "167952537536621": 142, "1672546863555908": 142, "1665596961975098": 142, "1658680438995361": 142, "1651780605316162": 142, "1644914150238037": 142, "1638071537017822": 142, "163125991821289": 142, "162447214126587": 142, "1617701053619385": 142, "1610949039459229": 142, "1604220867156982": 142, "1597511768341064": 142, "159080982208252": 142, "1584126949310303": 142, "157745599746704": 142, "1570794582366943": 142, "1564147472381592": 142, "1558117866516113": 142, "1551499366760254": 142, "1544878482818604": 142, "153827428817749": 142, "153167724609375": 142, "1525089740753174": 142, "1518502235412598": 142, "1510612964630127": 142, "1504054069519043": 142, "1497509479522705": 142, "1490974426269531": 142, "1484453678131104": 142, "1477956771850586": 142, "1471469402313232": 142, "1464991569519043": 142, "1458532810211182": 142, "1452090740203857": 142, "1446516513824463": 142, "144010305404663": 142, "1427335739135742": 142, "1420972347259521": 142, "1414613723754883": 142, "1408274173736572": 142, "1401946544647217": 142, "1395630836486816": 142, "1389315128326416": 142, "1383004188537598": 142, "1376700401306152": 142, "1370398998260498": 142, "136409044265747": 142, "1357779502868652": 142, "1351466178894043": 142, "134514331817627": 142, "133880853652954": 142, "1337041854858398": 142, "133068323135376": 142, "1324305534362793": 142, "1317906379699707": 142, "1311492919921875": 142, "130432367324829": 142, "129786729812622": 142, "1291394233703613": 142, "1284904479980469": 142, "1278400421142578": 142, "1271886825561523": 142, "1258819103240967": 142, "1252269744873047": 142, "1245713233947754": 142, "1239159107208252": 142, "123260498046875": 142, "1226043701171875": 142, "121948480606079": 142, "1213781833648682": 142, "1207242012023926": 142, "1200718879699707": 142, "1194210052490234": 142, "1187701225280762": 142, "1181201934814453": 142, "1174733638763428": 142, "1168267726898193": 142, "116182804107666": 142, "1155405044555664": 142, "1148996353149414": 142, "114259958267212": 142, "1136224269866943": 142, "1129858493804932": 142, "1123499870300293": 142, "111715316772461": 142, "1110820770263672": 142, "1104488372802734": 142, "1098158359527588": 142, "108551263809204": 142, "1079182624816895": 142, "1072850227355957": 142, "106652021408081": 142, "1060185432434082": 142, "105384349822998": 142, "104750156402588": 142, "1041145324707031": 142, "1034789085388184": 142, "1028423309326172": 142, "102205514907837": 142, "101567029953003": 142, "101090908050537": 142, "100438117980957": 142, "099618911743164": 142, "0989627838134766": 142, "0983061790466309": 142, "096994161605835": 142, "096339225769043": 142, "0956850051879883": 142, "0972251892089844": 142, "0965535640716553": 142, "095884084701538": 142, "095219373703003": 142, "0945568084716797": 142, "093898057937622": 142, "092764139175415": 142, "0921032428741455": 142, "0914478302001953": 142, "0907952785491943": 142, "0901463031768799": 142, "0895001888275146": 142, "088857650756836": 142, "0882174968719482": 142, "0871174335479736": 142, "086491346359253": 142, "0858676433563232": 142, "0852465629577637": 142, "0846283435821533": 142, "0840132236480713": 142, "083400011062622": 142, "0827903747558594": 142, "082183837890625": 142, "081580400466919": 142, "080979824066162": 142, "0803823471069336": 142, "0798900127410889": 142, "0793039798736572": 142, "0787208080291748": 142, "0781433582305908": 142, "0775673389434814": 142, "0769963264465332": 142, "0764284133911133": 142, "0758647918701172": 142, "0753045082092285": 142, "0747475624084473": 142, "0741941928863525": 142, "0736439228057861": 142, "0730974674224854": 142, "0725538730621338": 142, "0720136165618896": 142, "0714759826660156": 142, "0709412097930908": 142, "0704083442687988": 142, "0698785781860352": 142, "0026322731282562017": 142, "005193834658712149": 142, "016824275255203247": 142, "0016243078280240297": 142, "002081984654068947": 142, "0029013731982558966": 142, "005411324556916952": 142, "0041078077629208565": 142, "015303822234272957": 142, "0037263939157128334": 142, "005688039120286703": 142, "015042430721223354": 142, "004409393295645714": 142, "012665238231420517": 142, "003015191527083516": 142, "014003423973917961": 142, "020552417263388634": 142, "007532275281846523": 142, "0055506532080471516": 142, "00863788090646267": 142, "010415231809020042": 142, "006594005040824413": 142, "0021269461140036583": 142, "009614190086722374": 142, "02889900654554367": 142, "010717968456447124": 142, "012379482388496399": 142, "09575161337852478": 142, "09663202613592148": 142, "030345847830176353": 142, "06027564778923988": 142, "0072521488182246685": 142, "07256615161895752": 142, "4235811233520508": 142, "471550941467285": 142, "071821212768555": 142, "011013654991984367": 142, "910223484039307": 142, "0592098236084": 142, "4098975658416748": 142, "35616397857666": 142, "050872802734375": 142, "224246025085449": 142, "4931299686431885": 142, "04100799560547": 142, "8334767818450928": 142, "903783798217773": 142, "05426025390625": 142, "4272501468658447": 142, "3743438720703125": 142, "150306701660156": 142, "085556983947754": 142, "5034079551696777": 142, "028968811035156": 142, "654131889343262": 142, "916171073913574": 142, "06713104248047": 142, "270718574523926": 142, "35571813583374": 142, "041656494140625": 142, "860977649688721": 142, "3795469105243683": 142, "118539810180664": 142, "764501094818115": 142, "4698231518268585": 142, "595762252807617": 142, "0294098854064941": 142, "8551502227783203": 142, "8472833633422852": 142, "841036081314087": 142, "8348040580749512": 142, "828629732131958": 142, "822547435760498": 142, "8165345191955566": 142, "8105809688568115": 142, "8048453330993652": 142, "7989740371704102": 142, "7931418418884277": 142, "7874295711517334": 142, "7816598415374756": 142, "7759199142456055": 142, "7701163291931152": 142, "7644314765930176": 142, "7587714195251465": 142, "7531368732452393": 142, "747525930404663": 142, "7418549060821533": 142, "7362933158874512": 142, "7307546138763428": 142, "7252402305603027": 142, "7197461128234863": 142, "7142705917358398": 142, "7088167667388916": 142, "7033817768096924": 142, "697965383529663": 142, "6925702095031738": 142, "6871960163116455": 142, "6818394660949707": 142, "676501989364624": 142, "6711816787719727": 142, "6658804416656494": 142, "660597801208496": 142, "6553332805633545": 142, "6500890254974365": 142, "644862174987793": 142, "6396582126617432": 142, "6344730854034424": 142, "6293065547943115": 142, "624159574508667": 142, "619032859802246": 142, "6088402271270752": 142, "6037771701812744": 142, "5987396240234375": 142, "5937235355377197": 142, "5887322425842285": 142, "5837607383728027": 142, "5788140296936035": 142, "5738911628723145": 142, "5689938068389893": 142, "5641248226165771": 142, "5592846870422363": 142, "5544679164886475": 142, "549678087234497": 142, "5449140071868896": 142, "5401771068572998": 142, "5354702472686768": 142, "530787467956543": 142, "5261306762695312": 142, "5215013027191162": 142, "5169005393981934": 142, "512432336807251": 142, "5078823566436768": 142, "5033268928527832": 142, "4988317489624023": 142, "4943602085113525": 142, "4900364875793457": 142, "4856181144714355": 142, "4812228679656982": 142, "4768562316894531": 142, "4725117683410645": 142, "4681918621063232": 142, "4638991355895996": 142, "4596304893493652": 142, "4553892612457275": 142, "451172113418579": 142, "4469940662384033": 142, "4428303241729736": 142, "438795566558838": 142, "4346811771392822": 142, "430593490600586": 142, "4263958930969238": 142, "4223566055297852": 142, "4183411598205566": 142, "4143526554107666": 142, "410388708114624": 142, "406451940536499": 142, "402538537979126": 142, "3986542224884033": 142, "3947930335998535": 142, "3909592628479004": 142, "3871541023254395": 142, "3833718299865723": 142, "37961745262146": 142, "3758881092071533": 142, "3721842765808105": 142, "3685061931610107": 142, "364856481552124": 142, "3611836433410645": 142, "3575842380523682": 142, "3540093898773193": 142, "3504600524902344": 142, "347181797027588": 142, "343684434890747": 142, "3402106761932373": 142, "3369190692901611": 142, "333495855331421": 142, "330021858215332": 142, "326650857925415": 142, "323303461074829": 142, "3199810981750488": 142, "3166847229003906": 142, "3134117126464844": 142, "310276985168457": 142, "3070549964904785": 142, "303626298904419": 142, "3004498481750488": 142, "2941694259643555": 142, "2910640239715576": 142, "288090467453003": 142, "2850322723388672": 142, "2819993495941162": 142, "279024600982666": 142, "2760393619537354": 142, "2730753421783447": 142, "2701358795166016": 142, "2672202587127686": 142, "2645859718322754": 142, "261713981628418": 142, "2588675022125244": 142, "2560420036315918": 142, "253711462020874": 142, "2509312629699707": 142, "2481744289398193": 142, "2454400062561035": 142, "2427260875701904": 142, "2400367259979248": 142, "2373695373535156": 142, "234724521636963": 142, "2321016788482666": 142, "2295000553131104": 142, "2269208431243896": 142, "2243626117706299": 142, "2218265533447266": 142, "2193121910095215": 142, "2168185710906982": 142, "2143476009368896": 142, "2118406295776367": 142, "209409475326538": 142, "2069981098175049": 142, "2046077251434326": 142, "2022340297698975": 142, "1998827457427979": 142, "1964597702026367": 142, "1942429542541504": 142, "1917762756347656": 142, "1894927024841309": 142, "187225341796875": 142, "184912919998169": 142, "1826822757720947": 142, "1804687976837158": 142, "178274393081665": 142, "175987720489502": 142, "1738255023956299": 142, "1716816425323486": 142, "1695539951324463": 142, "167443037033081": 142, "1652660369873047": 142, "1631872653961182": 142, "1611266136169434": 142, "159081220626831": 142, "1570518016815186": 142, "1550405025482178": 142, "1530447006225586": 142, "151066780090332": 142, "1491048336029053": 142, "1471593379974365": 142, "1452302932739258": 142, "1433186531066895": 142, "1414241790771484": 142, "1395483016967773": 142, "1376867294311523": 142, "1358437538146973": 142, "1340179443359375": 142, "1322107315063477": 142, "1304192543029785": 142, "1286516189575195": 142, "126908540725708": 142, "125192403793335": 142, "123253345489502": 142, "1216211318969727": 142, "1200432777404785": 142, "1183724403381348": 142, "1167781352996826": 142, "1152198314666748": 142, "1136746406555176": 142, "112151861190796": 142, "1106512546539307": 142, "1091749668121338": 142, "1077210903167725": 142, "106287956237793": 142, "1048786640167236": 142, "1034913063049316": 142, "1021239757537842": 142, "1007797718048096": 142, "0994553565979004": 142, "0981533527374268": 142, "096872091293335": 142, "0956101417541504": 142, "094367504119873": 142, "093144178390503": 142, "0915465354919434": 142, "0903608798980713": 142, "0891919136047363": 142, "0880405902862549": 142, "0869076251983643": 142, "0857899188995361": 142, "0846891403198242": 142, "0836050510406494": 142, "0825355052947998": 142, "0814812183380127": 142, "0804431438446045": 142, "0794191360473633": 142, "0784099102020264": 142, "0774133205413818": 142, "0764319896697998": 142, "0754644870758057": 142, "0745091438293457": 142, "0735676288604736": 142, "073190450668335": 142, "0723333358764648": 142, "0714070796966553": 142, "070493459701538": 142, "0695929527282715": 142, "0687050819396973": 142, "0678272247314453": 142, "066962718963623": 142, "0661084651947021": 142, "0652656555175781": 142, "0644335746765137": 142, "0634112358093262": 142, "061795949935913": 142, "0609278678894043": 142, "0616402626037598": 142, "0608634948730469": 142, "0600943565368652": 142, "0593340396881104": 142, "058579921722412": 142, "0578341484069824": 142, "0570948123931885": 142, "0563616752624512": 142, "0556354522705078": 142, "0549170970916748": 142, "0542032718658447": 142, "0534965991973877": 142, "0527968406677246": 142, "0521020889282227": 142, "0514154434204102": 142, "050731897354126": 142, "0500562191009521": 142, "04685640335083": 142, "0462052822113037": 142, "0455613136291504": 142, "044921636581421": 142, "0442891120910645": 142, "043663501739502": 142, "0430448055267334": 142, "0421879291534424": 142, "0415849685668945": 142, "040989875793457": 142, "040403127670288": 142, "0398249626159668": 142, "0392541885375977": 142, "0386929512023926": 142, "0381412506103516": 142, "03759765625": 142, "0370633602142334": 142, "0365376472473145": 142, "0360236167907715": 142, "0355186462402344": 142, "035022497177124": 142, "0345361232757568": 142, "0340604782104492": 142, "0335922241210938": 142, "033134937286377": 142, "0326874256134033": 142, "032247543334961": 142, "0318183898925781": 142, "0313963890075684": 142, "0309829711914062": 142, "0305771827697754": 142, "0301823616027832": 142, "0297927856445312": 142, "0015025428729131818": 142, "0009312810725532472": 142, "007163757923990488": 142, "0012509123189374804": 142, "0006531131220981479": 142, "008312487043440342": 142, "0004236693785060197": 142, "0018794143106788397": 142, "008885910734534264": 142, "007249337621033192": 142, "006178755313158035": 142, "001902040559798479": 142, "00020227491040714085": 142, "003682068083435297": 142, "007666411809623241": 142, "0004975564079359174": 142, "010003135539591312": 142, "02621120773255825": 142, "009966814890503883": 142, "015730317682027817": 142, "013082033023238182": 142, "00048249520477838814": 142, "000641964259557426": 142, "007199500687420368": 142, "011354219168424606": 142, "0026148485485464334": 142, "0060876645147800446": 142, "0786164179444313": 142, "060937415808439255": 142, "03885706514120102": 142, "016643725335597992": 142, "09776803851127625": 142, "07268089056015015": 142, "390620470046997": 142, "4361791610717773": 142, "039886474609375": 142, "04111481457948685": 142, "9038190841674805": 142, "038742065429688": 142, "4231128692626953": 142, "345561981201172": 142, "066492080688477": 142, "2253570556640625": 142, "4478166103363037": 142, "050518035888672": 142, "7982470989227295": 142, "899158477783203": 142, "152694702148438": 142, "3888400793075562": 142, "362677574157715": 142, "042264938354492": 142, "039735317230225": 142, "457360029220581": 142, "062864303588867": 142, "637690544128418": 142, "901721954345703": 142, "049421310424805": 142, "2291388511657715": 142, "353771209716797": 142, "047101974487305": 142, "500049114227295": 142, "919754505157471": 142, "134309768676758": 142, "3120486736297607": 142, "9876668453216553": 142, "37813377380371": 142, "0212693214416504": 142, "4249701499938965": 142, "4173860549926758": 142, "4099116325378418": 142, "4026851654052734": 142, "395719051361084": 142, "3889985084533691": 142, "3824958801269531": 142, "3761861324310303": 142, "3696293830871582": 142, "3636445999145508": 142, "3577980995178223": 142, "3519916534423828": 142, "3464441299438477": 142, "3409502506256104": 142, "3355586528778076": 142, "3302638530731201": 142, "3250625133514404": 142, "3199498653411865": 142, "314924716949463": 142, "3099868297576904": 142, "3051340579986572": 142, "3001739978790283": 142, "2954888343811035": 142, "2908854484558105": 142, "2863333225250244": 142, "281909704208374": 142, "2775509357452393": 142, "2732720375061035": 142, "269073724746704": 142, "26495361328125": 142, "260908603668213": 142, "2585313320159912": 142, "2543389797210693": 142, "2505109310150146": 142, "2476952075958252": 142, "2440085411071777": 142, "240490198135376": 142, "2369427680969238": 142, "2334620952606201": 142, "2300481796264648": 142, "2266981601715088": 142, "2234117984771729": 142, "220189094543457": 142, "2170288562774658": 142, "2139296531677246": 142, "2108924388885498": 142, "207913875579834": 142, "2049951553344727": 142, "202134132385254": 142, "199329137802124": 142, "1965811252593994": 142, "1938860416412354": 142, "191246747970581": 142, "1873431205749512": 142, "184814453125": 142, "1823363304138184": 142, "1799066066741943": 142, "1778531074523926": 142, "1755180358886719": 142, "173229694366455": 142, "171013593673706": 142, "1688106060028076": 142, "1666488647460938": 142, "1645286083221436": 142, "1624476909637451": 142, "1604058742523193": 142, "1584007740020752": 142, "1564323902130127": 142, "1544785499572754": 142, "152578353881836": 142, "1507108211517334": 142, "1492230892181396": 142, "14742112159729": 142, "1456501483917236": 142, "1439085006713867": 142, "142195701599121": 142, "1405115127563477": 142, "138855218887329": 142, "1372272968292236": 142, "1356253623962402": 142, "1340503692626953": 142, "1325018405914307": 142, "1309788227081299": 142, "129523754119873": 142, "1280531883239746": 142, "1266093254089355": 142, "1251914501190186": 142, "1238043308258057": 142, "122462511062622": 142, "1211638450622559": 142, "1198320388793945": 142, "1186175346374512": 142, "117443561553955": 142, "1163077354431152": 142, "1152079105377197": 142, "1141448020935059": 142, "1131160259246826": 142, "1124191284179688": 142, "1114585399627686": 142, "1101963520050049": 142, "1092960834503174": 142, "1084263324737549": 142, "1075842380523682": 142, "1068263053894043": 142, "106215238571167": 142, "1052494049072266": 142, "1045100688934326": 142, "1037893295288086": 142, "1029751300811768": 142, "1022889614105225": 142, "101619005203247": 142, "100961685180664": 142, "1003148555755615": 142, "099679946899414": 142, "0990538597106934": 142, "0984342098236084": 142, "0978248119354248": 142, "0972239971160889": 142, "0966308116912842": 142, "0961861610412598": 142, "095609188079834": 142, "0950381755828857": 142, "094472885131836": 142, "0939147472381592": 142, "0933623313903809": 142, "0928153991699219": 142, "0922739505767822": 142, "0917372703552246": 142, "0912046432495117": 142, "0906767845153809": 142, "090153694152832": 142, "0896334648132324": 142, "0891189575195312": 142, "088606357574463": 142, "0880987644195557": 142, "087594747543335": 142, "0870945453643799": 142, "0865988731384277": 142, "0861060619354248": 142, "085618257522583": 142, "0851342678070068": 142, "0846545696258545": 142, "084179162979126": 142, "0837087631225586": 142, "0832428932189941": 142, "08278226852417": 142, "0823259353637695": 142, "0818760395050049": 142, "0814306735992432": 142, "0809905529022217": 142, "0805561542510986": 142, "0801262855529785": 142, "0797030925750732": 142, "0792837142944336": 142, "0788707733154297": 142, "07865571975708": 142, "0782506465911865": 142, "0778512954711914": 142, "0774550437927246": 142, "0770649909973145": 142, "0766205787658691": 142, "0762348175048828": 142, "075852394104004": 142, "0754730701446533": 142, "0750961303710938": 142, "0747215747833252": 142, "0743482112884521": 142, "0739762783050537": 142, "0736048221588135": 142, "0730252265930176": 142, "0728847980499268": 142, "0725128650665283": 142, "0721399784088135": 142, "0717649459838867": 142, "0713882446289062": 142, "071009635925293": 142, "0706300735473633": 142, "0702464580535889": 142, "069861888885498": 142, "069448709487915": 142, "0690572261810303": 142, "068662166595459": 142, "0682642459869385": 142, "0681405067443848": 142, "06764817237854": 142, "0672404766082764": 142, "0668301582336426": 142, "0664174556732178": 142, "0660028457641602": 142, "065263032913208": 142, "0648400783538818": 142, "0644161701202393": 142, "063990831375122": 142, "0635643005371094": 142, "0652916431427002": 142, "0648658275604248": 142, "0644440650939941": 142, "0640227794647217": 142, "0636050701141357": 142, "0631146430969238": 142, "062701940536499": 142, "0622916221618652": 142, "061882734298706": 142, "0614259243011475": 142, "061020851135254": 142, "0605571269989014": 142, "0607106685638428": 142, "0603647232055664": 142, "0599586963653564": 142, "05955171585083": 142, "0591444969177246": 142, "0587348937988281": 142, "058323860168457": 142, "057910680770874": 142, "0574944019317627": 142, "057075023651123": 142, "0569419860839844": 142, "0564861297607422": 142, "0561671257019043": 142, "0551559925079346": 142, "0547263622283936": 142, "0542933940887451": 142, "053755283355713": 142, "0533173084259033": 142, "0528748035430908": 142, "0524287223815918": 142, "05198073387146": 142, "0515291690826416": 142, "0510756969451904": 142, "0506203174591064": 142, "0501666069030762": 142, "0497105121612549": 142, "049255609512329": 142, "0488007068634033": 142, "0483474731445312": 142, "0479176044464111": 142, "0474679470062256": 142, "0468635559082031": 142, "046480417251587": 142, "0460340976715088": 142, "0456116199493408": 142, "0451679229736328": 142, "0447275638580322": 142, "0439634323120117": 142, "0435335636138916": 142, "043111801147461": 142, "0424396991729736": 142, "0419540405273438": 142, "041555404663086": 142, "041163444519043": 142, "0407803058624268": 142, "0404057502746582": 142, "0400364398956299": 142, "0396742820739746": 142, "0393187999725342": 142, "0389702320098877": 142, "0386266708374023": 142, "0379531383514404": 142, "037623405456543": 142, "0372955799102783": 142, "0365417003631592": 142, "0362210273742676": 142, "0359008312225342": 142, "0355815887451172": 142, "0352623462677002": 142, "034945011138916": 142, "0346267223358154": 142, "034308910369873": 142, "0339903831481934": 142, "0336723327636719": 142, "0333528518676758": 142, "0330331325531006": 142, "0327134132385254": 142, "032390832901001": 142, "0320682525634766": 142, "031745195388794": 142, "0314207077026367": 142, "0310964584350586": 142, "0307719707489014": 142, "0304479598999023": 142, "0301225185394287": 142, "0272629261016846": 142, "0269277095794678": 142, "02659010887146": 142, "0262494087219238": 142, "0259087085723877": 142, "025566577911377": 142, "0252246856689453": 142, "0248827934265137": 142, "0245418548583984": 142, "0241725444793701": 142, "0238325595855713": 142, "0234928131103516": 142, "0231549739837646": 142, "0228188037872314": 142, "022481918334961": 142, "022146463394165": 142, "0216038227081299": 142, "0032474377658218145": 142, "015396058559417725": 142, "00037854729453101754": 142, "005893984343856573": 142, "005202048923820257": 142, "008658169768750668": 142, "003499169135466218": 142, "0045998492278158665": 142, "0030158960726112127": 142, "0010894258739426732": 142, "007681011687964201": 142, "0016575222834944725": 142, "0013808687217533588": 142, "011507025919854641": 142, "004862096160650253": 142, "005610394291579723": 142, "004840850830078125": 142, "0020811643917113543": 142, "002493856707587838": 142, "007058100309222937": 142, "0029014458414167166": 142, "00363582419231534": 142, "006035639904439449": 142, "0014797885669395328": 142, "002319282153621316": 142, "410676097497344e": 142, "0022705686278641224": 142, "09257536381483078": 142, "01673431508243084": 142, "018211498856544495": 142, "030597474426031113": 142, "04101390764117241": 142, "040876928716897964": 142, "428054690361023": 142, "425943374633789": 142, "036489486694336": 142, "009816151112318039": 142, "886141300201416": 142, "13611602783203": 142, "4090485572814941": 142, "3383941650390625": 142, "04973030090332": 142, "2376275062561035": 142, "4441885948181152": 142, "058515548706055": 142, "844144344329834": 142, "890855312347412": 142, "04398536682129": 142, "4234890937805176": 142, "341793537139893": 142, "04705047607422": 142, "051112174987793": 142, "4260916709899902": 142, "039756774902344": 142, "6347761154174805": 142, "888710975646973": 142, "041473388671875": 142, "239720821380615": 142, "331945419311523": 142, "057798385620117": 142, "026630818843841553": 142, "773776054382324": 142, "134098052978516": 142, "7015103101730347": 142, "348382472991943": 142, "451576232910156": 142, "9900059103965759": 142, "1849608421325684": 142, "1772029399871826": 142, "1706249713897705": 142, "164153814315796": 142, "1581454277038574": 142, "1518445014953613": 142, "1456217765808105": 142, "1394269466400146": 142, "1333668231964111": 142, "1274583339691162": 142, "1218140125274658": 142, "1164381504058838": 142, "111332654953003": 142, "1065030097961426": 142, "1019482612609863": 142, "0976667404174805": 142, "0936551094055176": 142, "090785026550293": 142, "0873699188232422": 142, "0841426849365234": 142, "0811548233032227": 142, "0783953666687012": 142, "0758531093597412": 142, "0734083652496338": 142, "0712625980377197": 142, "0692963600158691": 142, "0674967765808105": 142, "0677464008331299": 142, "0661873817443848": 142, "0647881031036377": 142, "0634431838989258": 142, "062270164489746": 142, "061192274093628": 142, "0601987838745117": 142, "0592811107635498": 142, "0584309101104736": 142, "05763840675354": 142, "0568981170654297": 142, "0562021732330322": 142, "0555458068847656": 142, "0536043643951416": 142, "0530016422271729": 142, "0524241924285889": 142, "0518670082092285": 142, "0513269901275635": 142, "0508010387420654": 142, "050286054611206": 142, "0497808456420898": 142, "0492830276489258": 142, "0487902164459229": 142, "0483009815216064": 142, "0478160381317139": 142, "0473313331604004": 142, "0468482971191406": 142, "0463659763336182": 142, "045884370803833": 142, "0454015731811523": 142, "0449550151824951": 142, "0444715023040771": 142, "0439870357513428": 142, "043503761291504": 142, "0430209636688232": 142, "0425398349761963": 142, "0420594215393066": 142, "0415823459625244": 142, "0411059856414795": 142, "040632963180542": 142, "0401620864868164": 142, "0396945476531982": 142, "039229393005371": 142, "0388195514678955": 142, "0383620262145996": 142, "0379059314727783": 142, "0374538898468018": 142, "0371208190917969": 142, "0366730690002441": 142, "0362300872802734": 142, "0357911586761475": 142, "0353569984436035": 142, "034928321838379": 142, "03450345993042": 142, "0340838432312012": 142, "033257246017456": 142, "032850742340088": 142, "0324490070343018": 142, "0318844318389893": 142, "0314900875091553": 142, "031102180480957": 142, "0307176113128662": 142, "0303382873535156": 142, "0309789180755615": 142, "0306062698364258": 142, "0302398204803467": 142, "0298802852630615": 142, "0295262336730957": 142, "0291779041290283": 142, "028834581375122": 142, "0284953117370605": 142, "026442050933838": 142, "025822401046753": 142, "025597095489502": 142, "0252768993377686": 142, "024958848953247": 142, "0246422290802002": 142, "024327278137207": 142, "0237023830413818": 142, "023393154144287": 142, "0230860710144043": 142, "0227820873260498": 142, "0222046375274658": 142, "021930456161499": 142, "0216312408447266": 142, "0213346481323242": 142, "0210413932800293": 142, "020749568939209": 142, "020460605621338": 142, "0201725959777832": 142, "0199933052062988": 142, "0198674201965332": 142, "0195884704589844": 142, "0193121433258057": 142, "0190377235412598": 142, "0187647342681885": 142, "0184946060180664": 142, "0182256698608398": 142, "017958164215088": 142, "0176947116851807": 142, "01717209815979": 142, "016911506652832": 142, "0166525840759277": 142, "016394853591919": 142, "0161397457122803": 142, "0158848762512207": 142, "0156314373016357": 142, "0153794288635254": 142, "0151288509368896": 142, "014878749847412": 142, "0146293640136719": 142, "0143017768859863": 142, "0140531063079834": 142, "0138051509857178": 142, "0135579109191895": 142, "0133111476898193": 142, "0130653381347656": 142, "0128183364868164": 142, "0125718116760254": 142, "0120785236358643": 142, "0118319988250732": 142, "0116219520568848": 142, "0111238956451416": 142, "010875940322876": 142, "0106277465820312": 142, "0103797912597656": 142, "0101325511932373": 142, "0098845958709717": 142, "0096380710601807": 142, "0093934535980225": 142, "0091495513916016": 142, "0089068412780762": 142, "0086653232574463": 142, "0084247589111328": 142, "0081872940063477": 142, "0079517364501953": 142, "0077171325683594": 142, "0074849128723145": 142, "0072567462921143": 142, "0070302486419678": 142, "0068068504333496": 142, "0065867900848389": 142, "0063703060150146": 142, "0061566829681396": 142, "0059473514556885": 142, "0057423114776611": 142, "0055418014526367": 142, "0053455829620361": 142, "0051524639129639": 142, "0049641132354736": 142, "0047802925109863": 142, "004601240158081": 142, "0044276714324951": 142, "0042579174041748": 142, "0040922164916992": 142, "0039324760437012": 142, "0036864280700684": 142, "0035347938537598": 142, "0033881664276123": 142, "0032455921173096": 142, "0031073093414307": 142, "0029723644256592": 142, "0028419494628906": 142, "0027153491973877": 142, "0025837421417236": 142, "0024657249450684": 142, "002350091934204": 142, "0022375583648682": 142, "0021286010742188": 142, "0020215511322021": 142, "001880407333374": 142, "001779556274414": 142, "0016803741455078": 142, "0015828609466553": 142, "0014863014221191": 142, "0013904571533203": 142, "0012969970703125": 142, "0012028217315674": 142, "0011100769042969": 142, "0010170936584473": 142, "0009241104125977": 142, "0008306503295898": 142, "0007362365722656": 142, "000640630722046": 142, "000542402267456": 142, "000443935394287": 142, "0003418922424316": 142, "0002379417419434": 142, "0001320838928223": 142, "000023603439331": 142, "999911367893219": 142, "9997962117195129": 142, "999677836894989": 142, "9994210600852966": 142, "9992980360984802": 142, "9991726279258728": 142, "9990423321723938": 142, "9989085793495178": 142, "9987898468971252": 142, "9986472725868225": 142, "9985012412071228": 142, "9983484148979187": 142, "9982374310493469": 142, "9980723261833191": 142, "9978988766670227": 142, "9977173209190369": 142, "9975913166999817": 142, "997391402721405": 142, "9966816306114197": 142, "9964823126792908": 142, "9962180256843567": 142, "9959291815757751": 142, "9956285357475281": 142, "9952983260154724": 142, "9949893355369568": 142, "9946454167366028": 142, "9943541884422302": 142, "994079053401947": 142, "9939159750938416": 142, "9936731457710266": 142, "9934461712837219": 142, "9932366013526917": 142, "9930403828620911": 142, "9928589463233948": 142, "9926900267601013": 142, "9925321936607361": 142, "9923847317695618": 142, "9922464489936829": 142, "9921167492866516": 142, "9919212460517883": 142, "9918060898780823": 142, "9916951060295105": 142, "9915891289710999": 142, "9914883971214294": 142, "9913917183876038": 142, "9912993311882019": 142, "9912099242210388": 142, "9911238551139832": 142, "9910404086112976": 142, "9909605383872986": 142, "9908835291862488": 142, "9908075928688049": 142, "9907347559928894": 142, "9906648993492126": 142, "990597665309906": 142, "9905313849449158": 142, "9904692769050598": 142, "9904115796089172": 142, "9903541207313538": 142, "990300714969635": 142, "9902516007423401": 142, "9902058243751526": 142, "990162193775177": 142, "9901236891746521": 142, "9900876879692078": 142, "9900566935539246": 142, "9900286793708801": 142, "9900065064430237": 142, "9899892210960388": 142, "9899762272834778": 142, "9899678826332092": 142, "9899643063545227": 142, "9899638295173645": 142, "9899665713310242": 142, "989973247051239": 142, "9899852871894836": 142, "9900004267692566": 142, "9899805188179016": 142, "001853511086665094": 142, "009129512123763561": 142, "008615157566964626": 142, "0031702916603535414": 142, "0031001900788396597": 142, "028336504474282265": 142, "008971759118139744": 142, "009408638812601566": 142, "0020438367500901222": 142, "0005752002471126616": 142, "003748165210708976": 142, "01044019591063261": 142, "01013956218957901": 142, "005081879440695047": 142, "0014578192494809628": 142, "006617883685976267": 142, "006075256038457155": 142, "00010121350351255387": 142, "004758101888000965": 142, "0073279873467981815": 142, "009205649606883526": 142, "0070128124207258224": 142, "002198912436142564": 142, "008356585167348385": 142, "000529321376234293": 142, "00503014400601387": 142, "015330150723457336": 142, "0006486193742603064": 142, "026400119066238403": 142, "010982844047248363": 142, "006120067089796066": 142, "0022794390097260475": 142, "0070453817024827": 142, "4123235940933228": 142, "5513575077056885": 142, "06023406982422": 142, "009078050963580608": 142, "007773399353027": 142, "08185577392578": 142, "4089548587799072": 142, "442995548248291": 142, "06983757019043": 142, "188886642456055": 142, "605308771133423": 142, "089542388916016": 142, "8125290870666504": 142, "009812831878662": 142, "08091926574707": 142, "4093070030212402": 142, "349564075469971": 142, "006120681762695": 142, "098626136779785": 142, "607130527496338": 142, "09130859375": 142, "6429762840271": 142, "072866439819336": 142, "023603439331055": 142, "2325005531311035": 142, "443099498748779": 142, "069744110107422": 142, "640408992767334": 142, "5481014251708984": 142, "718891143798828": 142, "646333694458008": 142, "6287332773208618": 142, "07094383239746": 142, "0556418895721436": 142, "3610107898712158": 142, "3467156887054443": 142, "3372657299041748": 142, "3285977840423584": 142, "3202345371246338": 142, "312089204788208": 142, "304088830947876": 142, "2962002754211426": 142, "2884056568145752": 142, "2806963920593262": 142, "273068904876709": 142, "2654995918273926": 142, "2581512928009033": 142, "2507789134979248": 142, "243518352508545": 142, "236320972442627": 142, "229224681854248": 142, "2222027778625488": 142, "2155311107635498": 142, "2087597846984863": 142, "202106237411499": 142, "195572853088379": 142, "1893422603607178": 142, "1834638118743896": 142, "1779203414916992": 142, "1726913452148438": 142, "1677627563476562": 142, "1633925437927246": 142, "1590287685394287": 142, "1549243927001953": 142, "1510655879974365": 142, "1474425792694092": 142, "1440467834472656": 142, "140861988067627": 142, "137878656387329": 142, "1349120140075684": 142, "1322948932647705": 142, "1298437118530273": 142, "127528190612793": 142, "1256732940673828": 142, "1236622333526611": 142, "1217741966247559": 142, "1200053691864014": 142, "11834716796875": 142, "1167912483215332": 142, "1153287887573242": 142, "1139543056488037": 142, "112661600112915": 142, "1114435195922852": 142, "1102960109710693": 142, "1092123985290527": 142, "1080200672149658": 142, "1070539951324463": 142, "106180191040039": 142, "1051037311553955": 142, "1042816638946533": 142, "1034998893737793": 142, "1027555465698242": 142, "1020448207855225": 142, "1013684272766113": 142, "100689172744751": 142, "1000711917877197": 142, "0990045070648193": 142, "098494052886963": 142, "0979552268981934": 142, "0974416732788086": 142, "0969514846801758": 142, "0964839458465576": 142, "0960381031036377": 142, "0956125259399414": 142, "0952086448669434": 142, "0948224067687988": 142, "0944561958312988": 142, "0941083431243896": 142, "0937745571136475": 142, "0934569835662842": 142, "093031883239746": 142, "0927417278289795": 142, "092463493347168": 142, "0921967029571533": 142, "0919384956359863": 142, "0916893482208252": 142, "0914483070373535": 142, "0912137031555176": 142, "0910370349884033": 142, "0908141136169434": 142, "0905954837799072": 142, "090378999710083": 142, "0901668071746826": 142, "0899546146392822": 142, "0897448062896729": 142, "0895349979400635": 142, "0893208980560303": 142, "089106798171997": 142, "0888922214508057": 142, "088676929473877": 142, "0884606838226318": 142, "0882420539855957": 142, "088021993637085": 142, "0878002643585205": 142, "0870904922485352": 142, "086665153503418": 142, "0864355564117432": 142, "0862023830413818": 142, "0859665870666504": 142, "0857264995574951": 142, "0854828357696533": 142, "0852370262145996": 142, "0849881172180176": 142, "0847370624542236": 142, "084301233291626": 142, "084045648574829": 142, "0837864875793457": 142, "0835270881652832": 142, "083266258239746": 142, "0830051898956299": 142, "0826711654663086": 142, "0824098587036133": 142, "0821483135223389": 142, "0818877220153809": 142, "081627368927002": 142, "080883502960205": 142, "080622911453247": 142, "080366611480713": 142, "0801095962524414": 142, "0798571109771729": 142, "079606056213379": 142, "0793571472167969": 142, "0791103839874268": 142, "078942060470581": 142, "0787034034729004": 142, "078465223312378": 142, "0782313346862793": 142, "0779991149902344": 142, "0777690410614014": 142, "0773704051971436": 142, "0771458148956299": 142, "0769233703613281": 142, "0767033100128174": 142, "0764853954315186": 142, "0765042304992676": 142, "0762913227081299": 142, "0760633945465088": 142, "0758554935455322": 142, "0756502151489258": 142, "0754473209381104": 142, "0752453804016113": 142, "0750463008880615": 142, "0748496055603027": 142, "0746543407440186": 142, "0744593143463135": 142, "0742688179016113": 142, "074070930480957": 142, "073882818222046": 142, "0736963748931885": 142, "0735116004943848": 142, "0734119415283203": 142, "0723061561584473": 142, "072129487991333": 142, "0719563961029053": 142, "0717847347259521": 142, "0719363689422607": 142, "0717735290527344": 142, "07161283493042": 142, "0714542865753174": 142, "0713000297546387": 142, "0711479187011719": 142, "0709998607635498": 142, "0708537101745605": 142, "0707123279571533": 142, "0705723762512207": 142, "0703728199005127": 142, "0701062679290771": 142, "0699784755706787": 142, "0698533058166504": 142, "070218563079834": 142, "0700981616973877": 142, "0699799060821533": 142, "0698647499084473": 142, "0697531700134277": 142, "069645643234253": 142, "0694770812988281": 142, "0693743228912354": 142, "0692758560180664": 142, "0693600177764893": 142, "069267988204956": 142, "0691795349121094": 142, "0690937042236328": 142, "0690114498138428": 142, "0693225860595703": 142, "069244146347046": 142, "069169282913208": 142, "0690960884094238": 142, "0690257549285889": 142, "068958044052124": 142, "0688934326171875": 142, "0688295364379883": 142, "0686683654785156": 142, "0686113834381104": 142, "0685570240020752": 142, "0685038566589355": 142, "0673422813415527": 142, "0673043727874756": 142, "0663681030273438": 142, "066347599029541": 142, "0663256645202637": 142, "0663042068481445": 142, "0662295818328857": 142, "0671501159667969": 142, "066560983657837": 142, "0665433406829834": 142, "0664949417114258": 142, "0664782524108887": 142, "066462516784668": 142, "0663444995880127": 142, "0663275718688965": 142, "0663120746612549": 142, "0662951469421387": 142, "0662791728973389": 142, "0662615299224854": 142, "066241979598999": 142, "0657360553741455": 142, "06571364402771": 142, "0656919479370117": 142, "065669059753418": 142, "0656447410583496": 142, "0656180381774902": 142, "0655889511108398": 142, "0656189918518066": 142, "0655875205993652": 142, "0655498504638672": 142, "065509557723999": 142, "0654642581939697": 142, "06541109085083": 142, "0652787685394287": 142, "0652070045471191": 142, "0651192665100098": 142, "0650196075439453": 142, "0648574829101562": 142, "0643823146820068": 142, "064131736755371": 142, "0637621879577637": 142, "063375473022461": 142, "062981128692627": 142, "0626068115234375": 142, "0622601509094238": 142, "061821460723877": 142, "0615448951721191": 142, "0612661838531494": 142, "0610017776489258": 142, "0607497692108154": 142, "0607967376708984": 142, "060567855834961": 142, "0603435039520264": 142, "0601277351379395": 142, "0599172115325928": 142, "0597105026245117": 142, "059511423110962": 142, "0593140125274658": 142, "0591223239898682": 142, "058934211730957": 142, "058748722076416": 142, "0585672855377197": 142, "058387279510498": 142, "0582125186920166": 142, "058039665222168": 142, "0578715801239014": 142, "0577058792114258": 142, "0575437545776367": 142, "0573835372924805": 142, "0572266578674316": 142, "0570738315582275": 142, "0569231510162354": 142, "0567760467529297": 142, "0565516948699951": 142, "0563335418701172": 142, "0561926364898682": 142, "0561161041259766": 142, "0559813976287842": 142, "055851936340332": 142, "0557258129119873": 142, "0555055141448975": 142, "0553834438323975": 142, "0552654266357422": 142, "0551517009735107": 142, "0550408363342285": 142, "056173324584961": 142, "0570464134216309": 142, "056962490081787": 142, "0559957027435303": 142, "0559256076812744": 142, "0558626651763916": 142, "0558068752288818": 142, "055753231048584": 142, "0557057857513428": 142, "0556650161743164": 142, "0556998252868652": 142, "0556681156158447": 142, "0012904233299195766": 142, "005090185906738043": 142, "00038966775173321366": 142, "0015329313464462757": 142, "0061395312659442425": 142, "0006341564585454762": 142, "0008101218845695257": 142, "004176640883088112": 142, "0009938759030774236": 142, "0005784093518741429": 142, "008853884413838387": 142, "0021706444676965475": 142, "001282986020669341": 142, "0076435930095613": 142, "0004983177641406655": 142, "0002808439894579351": 142, "004585937596857548": 142, "0013033882714807987": 142, "0033247906249016523": 142, "005337296519428492": 142, "003912081941962242": 142, "0012562285410240293": 142, "008698086254298687": 142, "0003272111644037068": 142, "001187978545203805": 142, "0035472968593239784": 142, "00024179028696380556": 142, "0008778299088589847": 142, "016924263909459114": 142, "0010520132491365075": 142, "0063590663485229015": 142, "014282735995948315": 142, "00011242269829381257": 142, "api_host": 142, "ui_url": 142, "463768833067144": 142, "918871126704698": 142, "6046248175002857e": 142, "95690028606187": 142, "4106281388445243": 142, "951829731480913": 142, "2901937750658887e": 142, "967041395223784": 142, "961970840642827": 142, "821256277689048": 142, "4106281388445239": 142, "1cf77095": 142, "e2e5": 142, "465b": 142, "a416": 142, "8c59cd771eb0": 142, "91887092590332": 142, "784644603729248": 142, "01585395820438862": 142, "954504013061523": 142, "3478119373321533": 142, "4290025234222412": 142, "093036651611328": 142, "2901937998509476e": 142, "967041015625": 142, "961971282958984": 142, "7925755977630615": 142, "801503896713257": 142, "943401336669922": 142, "396631121635437": 142, "246453762054443": 142, "851768493652344": 142, "814049243927002": 142, "63831901550293": 142, "90528678894043": 142, "389331340789795": 142, "01081657409668": 142, "846323013305664": 142, "6312055587768555": 142, "006954939104616642": 142, "905441284179688": 142, "225893974304199": 142, "4112125635147095": 142, "833881378173828": 142, "6359405517578125": 142, "8228814601898193": 142, "902973175048828": 142, "22465705871582": 142, "234453201293945": 142, "846704483032227": 142, "632215976715088": 142, "6393351554870605": 142, "902685165405273": 142, "222077369689941": 142, "0412468910217285": 142, "84601593017578": 142, "471570014953613": 142, "014626743271946907": 142, "95806121826172": 142, "9965925216674805": 142, "4068657159805298": 142, "85365104675293": 142, "481403350830078": 142, "7847137451171875": 142, "964763641357422": 142, "025114059448242": 142, "237039089202881": 142, "84993553161621": 142, "449480056762695": 142, "633782863616943": 142, "90584373474121": 142, "021653175354004": 142, "036829948425293": 142, "850372314453125": 142, "488736867904663": 142, "2554888725280762": 142, "06191062927246": 142, "4198782444000244": 142, "436711311340332": 142, "310277938842773": 142, "8638100028038025": 142, "2700393199920654": 142, "2566592693328857": 142, "248255968093872": 142, "2401139736175537": 142, "2319438457489014": 142, "223719835281372": 142, "2154574394226074": 142, "2074110507965088": 142, "1993021965026855": 142, "1912178993225098": 142, "1831581592559814": 142, "1750612258911133": 142, "1670551300048828": 142, "15922212600708": 142, "151233196258545": 142, "1432757377624512": 142, "135301113128662": 142, "1279356479644775": 142, "1199851036071777": 142, "112208604812622": 142, "1044585704803467": 142, "096750020980835": 142, "0890882015228271": 142, "0814545154571533": 142, "073368787765503": 142, "0658633708953857": 142, "0585689544677734": 142, "0515053272247314": 142, "044590711593628": 142, "0377497673034668": 142, "0311660766601562": 142, "0261166095733643": 142, "0199267864227295": 142, "013787031173706": 142, "007786512374878": 142, "0017764568328857": 142, "9956194758415222": 142, "9899025559425354": 142, "9844074845314026": 142, "9799639582633972": 142, "9747299551963806": 142, "9696076512336731": 142, "9644497036933899": 142, "9595630764961243": 142, "9546909928321838": 142, "950039803981781": 142, "9455094933509827": 142, "9410925507545471": 142, "936700165271759": 142, "9325239062309265": 142, "9284685254096985": 142, "9245579838752747": 142, "920731246471405": 142, "9170268177986145": 142, "913408100605011": 142, "909949004650116": 142, "9066919684410095": 142, "9034691452980042": 142, "9003662467002869": 142, "8973836302757263": 142, "8945236802101135": 142, "8917776942253113": 142, "8891454339027405": 142, "8866289258003235": 142, "884227454662323": 142, "8819947838783264": 142, "8798580765724182": 142, "8776815533638": 142, "8758432269096375": 142, "8739667534828186": 142, "8722500205039978": 142, "8706497550010681": 142, "8692001700401306": 142, "8678377270698547": 142, "8665937781333923": 142, "8655560612678528": 142, "8646630644798279": 142, "8639830946922302": 142, "863373339176178": 142, "8628810048103333": 142, "862442672252655": 142, "8620877861976624": 142, "8620237708091736": 142, "8616824746131897": 142, "8613519072532654": 142, "8607085347175598": 142, "8604084849357605": 142, "8601234555244446": 142, "8598526120185852": 142, "8595930933952332": 142, "8594476580619812": 142, "8591956496238708": 142, "8589404225349426": 142, "8586910367012024": 142, "8584801554679871": 142, "8583430647850037": 142, "8585345149040222": 142, "8586389422416687": 142, "8588826060295105": 142, "859259307384491": 142, "8597568869590759": 142, "8606153130531311": 142, "8613086342811584": 142, "8620762228965759": 142, "8629135489463806": 142, "8637861609458923": 142, "8647031188011169": 142, "865648090839386": 142, "8665263056755066": 142, "8675124049186707": 142, "8685097098350525": 142, "8695910573005676": 142, "8705930113792419": 142, "8715283274650574": 142, "8725348114967346": 142, "8735012412071228": 142, "8744444251060486": 142, "8756161332130432": 142, "8764988780021667": 142, "877157986164093": 142, "8779651522636414": 142, "8787106871604919": 142, "879439651966095": 142, "8799687027931213": 142, "8807030320167542": 142, "8813210129737854": 142, "8817817568778992": 142, "8821832537651062": 142, "8825045228004456": 142, "8827914595603943": 142, "8830226063728333": 142, "8832041621208191": 142, "8818607926368713": 142, "8819542527198792": 142, "8820028901100159": 142, "8820114731788635": 142, "8824148774147034": 142, "8823453783988953": 142, "8822426199913025": 142, "8819820284843445": 142, "8818194270133972": 142, "8816590905189514": 142, "8814558386802673": 142, "8812393546104431": 142, "8810116648674011": 142, "8807736039161682": 142, "8805347084999084": 142, "880341112613678": 142, "8802033066749573": 142, "8799763321876526": 142, "8796607851982117": 142, "8794571757316589": 142, "879271924495697": 142, "8791105151176453": 142, "8789767622947693": 142, "8788784146308899": 142, "8788146376609802": 142, "8787936568260193": 142, "8788192868232727": 142, "8788871169090271": 142, "879002034664154": 142, "8791163563728333": 142, "8793244957923889": 142, "8793832659721375": 142, "879675567150116": 142, "8800202012062073": 142, "8804101347923279": 142, "880843460559845": 142, "881376326084137": 142, "881902277469635": 142, "8824275135993958": 142, "8830289244651794": 142, "8836684823036194": 142, "8842310309410095": 142, "8849340081214905": 142, "88566654920578": 142, "8864230513572693": 142, "8872632384300232": 142, "8881213068962097": 142, "8890677094459534": 142, "8899199366569519": 142, "8910450339317322": 142, "89180988073349": 142, "8926388621330261": 142, "8934339880943298": 142, "894345223903656": 142, "8963913321495056": 142, "8971553444862366": 142, "8980209231376648": 142, "8987550139427185": 142, "8994656205177307": 142, "9001460671424866": 142, "9007944464683533": 142, "9014721512794495": 142, "9021087288856506": 142, "9026491045951843": 142, "9031615853309631": 142, "9035030007362366": 142, "903960645198822": 142, "9043594002723694": 142, "9046855568885803": 142, "9049591422080994": 142, "9055313467979431": 142, "905716598033905": 142, "9058299660682678": 142, "9059773087501526": 142, "9055629372596741": 142, "9055250287055969": 142, "9054883122444153": 142, "9053568243980408": 142, "90623539686203": 142, "9061970114707947": 142, "9059121012687683": 142, "9055866599082947": 142, "9052245020866394": 142, "9048240780830383": 142, "9043893218040466": 142, "9029513001441956": 142, "902433454990387": 142, "9018915295600891": 142, "901322066783905": 142, "900737464427948": 142, "9001166224479675": 142, "8994587063789368": 142, "900654137134552": 142, "8999641537666321": 142, "8973236680030823": 142, "8965901732444763": 142, "8958372473716736": 142, "895071804523468": 142, "8942909836769104": 142, "8935007452964783": 142, "8926987051963806": 142, "8918198943138123": 142, "8910015225410461": 142, "8901779055595398": 142, "8893508315086365": 142, "8885205388069153": 142, "8876902461051941": 142, "886861264705658": 142, "8859959244728088": 142, "8852687478065491": 142, "8844769597053528": 142, "8836658596992493": 142, "8828620314598083": 142, "8820664286613464": 142, "8812651038169861": 142, "8803539872169495": 142, "8796544671058655": 142, "8789334893226624": 142, "8782303929328918": 142, "8775486350059509": 142, "8768622279167175": 142, "8762202858924866": 142, "8756024241447449": 142, "8750062584877014": 142, "874432384967804": 142, "8738778233528137": 142, "8733487725257874": 142, "8728393912315369": 142, "8723525404930115": 142, "8719030022621155": 142, "8715212941169739": 142, "8711041808128357": 142, "870707094669342": 142, "8703307509422302": 142, "8699724078178406": 142, "8696314692497253": 142, "8718181252479553": 142, "8715019822120667": 142, "87120121717453": 142, "8708344101905823": 142, "8705623745918274": 142, "8702986836433411": 142, "8700438141822815": 142, "8698272109031677": 142, "8695726990699768": 142, "8693347573280334": 142, "8690993189811707": 142, "8688649535179138": 142, "8686849474906921": 142, "8684545159339905": 142, "8682220578193665": 142, "867968738079071": 142, "867741048336029": 142, "8674669861793518": 142, "8672377467155457": 142, "8672139048576355": 142, "8669866919517517": 142, "8666120171546936": 142, "8663842082023621": 142, "8661771416664124": 142, "8659184575080872": 142, "86568683385849": 142, "8654579520225525": 142, "8652264475822449": 142, "8648139834403992": 142, "8645761609077454": 142, "8643457293510437": 142, "005923556163907051": 142, "0005148208001628518": 142, "004688183777034283": 142, "020172469317913055": 142, "005457508377730846": 142, "01504830364137888": 142, "00543785747140646": 142, "002586567075923085": 142, "0035467061679810286": 142, "0052901869639754295": 142, "0017481058603152633": 142, "002920427592471242": 142, "0024861751589924097": 142, "0011880178935825825": 142, "0027684071101248264": 142, "006278174929320812": 142, "004442331846803427": 142, "0018279606010764837": 142, "004809234756976366": 142, "0019746695179492235": 142, "003222871571779251": 142, "002259952249005437": 142, "0009060275624506176": 142, "0023121987469494343": 142, "0048110708594322205": 142, "00034692135523073375": 142, "004071693867444992": 142, "003739971434697509": 142, "0007448698161169887": 142, "004908016882836819": 142, "003278867807239294": 142, "0010697008110582829": 142, "00352493766695261": 142, "003692762926220894": 142, "0030865101143717766": 142, "003869585692882538": 142, "0018172700656577945": 142, "0006998978788033128": 142, "0024896173272281885": 142, "010334579274058342": 142, "0012458926066756248": 142, "0025431159883737564": 142, "0021738396026194096": 142, "0033301804214715958": 142, "002384529449045658": 142, "006379356607794762": 142, "0003421329311095178": 142, "0038605735171586275": 142, "0037417684216052294": 142, "0007222075364552438": 142, "002595103345811367": 142, "006492034997791052": 142, "002763909287750721": 142, "002870195312425494": 142, "015086094848811626": 142, "005366040859371424": 142, "0031263127457350492": 142, "010786698199808598": 142, "001445674104616046": 142, "008985189720988274": 142, "8208096027374268": 142, "0033152897376567125": 142, "90155601501465": 142, "419624924659729": 142, "3982149362564087": 142, "85784339904785": 142, "8463449478149414": 142, "838514566421509": 142, "94490623474121": 142, "4431687593460083": 142, "239887714385986": 142, "887052536010742": 142, "8449947834014893": 142, "629123687744141": 142, "94025421142578": 142, "4234530925750732": 142, "069711685180664": 142, "856901168823242": 142, "645565032958984": 142, "002649947302415967": 142, "908954620361328": 142, "23647403717041": 142, "3877028226852417": 142, "85658836364746": 142, "652092456817627": 142, "8418822288513184": 142, "9553165435791": 142, "146683692932129": 142, "2001752853393555": 142, "002212524414062": 142, "650730609893799": 142, "621910095214844": 142, "961015701293945": 142, "230888843536377": 142, "078619480133057": 142, "842538833618164": 142, "477094650268555": 142, "006652478128671646": 142, "897064208984375": 142, "072125434875488": 142, "397485375404358": 142, "84664535522461": 142, "467543601989746": 142, "841200113296509": 142, "937273025512695": 142, "2144575119018555": 142, "2292094230651855": 142, "973297119140625": 142, "469869613647461": 142, "633181095123291": 142, "931808471679688": 142, "081004619598389": 142, "0887451171875": 142, "834321975708008": 142, "714004039764404": 142, "338881492614746": 142, "461933135986328": 142, "757815361022949": 142, "482701301574707": 142, "93854522705078": 142, "4258400797843933": 142, "4157040119171143": 142, "3959264755249023": 142, "3810491561889648": 142, "3668937683105469": 142, "353935718536377": 142, "3416213989257812": 142, "3305025100708008": 142, "3197519779205322": 142, "309373140335083": 142, "2993834018707275": 142, "2895302772521973": 142, "280121088027954": 142, "2711560726165771": 142, "2621920108795166": 142, "2534027099609375": 142, "2447645664215088": 142, "2362065315246582": 142, "2278375625610352": 142, "219529390335083": 142, "2112457752227783": 142, "203246831893921": 142, "195363998413086": 142, "187469244003296": 142, "1798253059387207": 142, "1720795631408691": 142, "1644048690795898": 142, "1566882133483887": 142, "1491410732269287": 142, "1404428482055664": 142, "1332495212554932": 142, "1257665157318115": 142, "1184594631195068": 142, "1112031936645508": 142, "1039996147155762": 142, "0967144966125488": 142, "0895419120788574": 142, "0824882984161377": 142, "0754847526550293": 142, "068448781967163": 142, "0614526271820068": 142, "054584264755249": 142, "0477652549743652": 142, "040992259979248": 142, "0342650413513184": 142, "0276706218719482": 142, "0210332870483398": 142, "0142796039581299": 142, "0077288150787354": 142, "0012226104736328": 142, "9947866797447205": 142, "9883710741996765": 142, "9819996953010559": 142, "9756196141242981": 142, "9693400263786316": 142, "9631062150001526": 142, "956915557384491": 142, "950773298740387": 142, "9446755051612854": 142, "9386250376701355": 142, "932620108127594": 142, "926664412021637": 142, "9207544922828674": 142, "9148401618003845": 142, "9088463187217712": 142, "9030718207359314": 142, "897344172000885": 142, "891665518283844": 142, "8859936594963074": 142, "8804066777229309": 142, "8748676180839539": 142, "8693752884864807": 142, "8639312386512756": 142, "853184163570404": 142, "847879946231842": 142, "8426231741905212": 142, "8374128937721252": 142, "8322494626045227": 142, "8270334601402283": 142, "8219632506370544": 142, "8169414401054382": 142, "8119719624519348": 142, "8070552945137024": 142, "8021970391273499": 142, "7973988652229309": 142, "7926643490791321": 142, "7879944443702698": 142, "7833861708641052": 142, "7788419127464294": 142, "7743565440177917": 142, "769927442073822": 142, "7655521035194397": 142, "761222779750824": 142, "7569367289543152": 142, "7526900172233582": 142, "7484803795814514": 142, "7443072199821472": 142, "7401725649833679": 142, "7360766530036926": 142, "7320215106010437": 142, "728009045124054": 142, "7240404486656189": 142, "7201194167137146": 142, "7162447571754456": 142, "7125013470649719": 142, "7087237238883972": 142, "7049936652183533": 142, "7013100981712341": 142, "697673499584198": 142, "6940836310386658": 142, "6905404925346375": 142, "6870046257972717": 142, "6835560202598572": 142, "6801517605781555": 142, "6767938733100891": 142, "673480212688446": 142, "6702120900154114": 142, "6669886708259583": 142, "6637466549873352": 142, "660610020160675": 142, "65751713514328": 142, "6544675230979919": 142, "6514241099357605": 142, "6484598517417908": 142, "6455374360084534": 142, "6426587700843811": 142, "639821469783783": 142, "6370250582695007": 142, "6342682242393494": 142, "6313288807868958": 142, "628518283367157": 142, "6258140206336975": 142, "6231805682182312": 142, "6206150650978088": 142, "6180846095085144": 142, "6155864596366882": 142, "6132120490074158": 142, "6107810139656067": 142, "6083815693855286": 142, "6060135960578918": 142, "6036984324455261": 142, "6012285351753235": 142, "59895259141922": 142, "5967044234275818": 142, "5944833159446716": 142, "5922896265983582": 142, "5901220440864563": 142, "5879797339439392": 142, "5858634114265442": 142, "583772599697113": 142, "5817061066627502": 142, "5798339247703552": 142, "577813446521759": 142, "5758153796195984": 142, "5738391280174255": 142, "5718864798545837": 142, "5699546933174133": 142, "5679740309715271": 142, "5660979151725769": 142, "5642251372337341": 142, "5623723864555359": 142, "5605399012565613": 142, "5587257742881775": 142, "5569313168525696": 142, "5551554560661316": 142, "5533989071846008": 142, "5516610741615295": 142, "5499405264854431": 142, "5482375025749207": 142, "546551525592804": 142, "5445974469184875": 142, "5429447293281555": 142, "5412018895149231": 142, "5395810008049011": 142, "5379766821861267": 142, "5363900065422058": 142, "5348244309425354": 142, "5332669615745544": 142, "531726062297821": 142, "5302019715309143": 142, "5286920666694641": 142, "5271992087364197": 142, "5257214903831482": 142, "5242851376533508": 142, "5228381752967834": 142, "521406352519989": 142, "5199874043464661": 142, "5185835957527161": 142, "5172032713890076": 142, "5158242583274841": 142, "5144597887992859": 142, "5131084322929382": 142, "511769711971283": 142, "5104449391365051": 142, "5090180039405823": 142, "5077195763587952": 142, "5064340233802795": 142, "5051607489585876": 142, "5039003491401672": 142, "5026829838752747": 142, "5010301470756531": 142, "4998071789741516": 142, "498595654964447": 142, "49739736318588257": 142, "4962114691734314": 142, "4952870011329651": 142, "4930998682975769": 142, "4919530749320984": 142, "49081772565841675": 142, "4897831082344055": 142, "4886706471443176": 142, "48757022619247437": 142, "4864806532859802": 142, "48540323972702026": 142, "4843352437019348": 142, "4832788109779358": 142, "482233464717865": 142, "4811980128288269": 142, "48017340898513794": 142, "4791167378425598": 142, "4781121611595154": 142, "47711819410324097": 142, "4761328101158142": 142, "47515779733657837": 142, "47419077157974243": 142, "47323352098464966": 142, "47228676080703735": 142, "47134846448898315": 142, "470419704914093": 142, "4695001244544983": 142, "46858900785446167": 142, "46768778562545776": 142, "46679478883743286": 142, "4659114480018616": 142, "46503716707229614": 142, "4641713500022888": 142, "4633154273033142": 142, "46246737241744995": 142, "4616289734840393": 142, "46079903841018677": 142, "45997828245162964": 142, "4591664671897888": 142, "45840317010879517": 142, "4576088786125183": 142, "4568236470222473": 142, "4560474753379822": 142, "4554275870323181": 142, "4546697735786438": 142, "45392078161239624": 142, "45317965745925903": 142, "4524468779563904": 142, "4517243504524231": 142, "4510090947151184": 142, "45030349493026733": 142, "4496055245399475": 142, "44891518354415894": 142, "44823402166366577": 142, "4475608468055725": 142, "4468889832496643": 142, "4462319016456604": 142, "4455823302268982": 142, "44494014978408813": 142, "44430655241012573": 142, "4436792731285095": 142, "4430883526802063": 142, "44247621297836304": 142, "4418712258338928": 142, "4412744641304016": 142, "4406837821006775": 142, "4401013255119324": 142, "43952518701553345": 142, "4389567971229553": 142, "4383949637413025": 142, "4378405213356018": 142, "43726450204849243": 142, "43672269582748413": 142, "4361885190010071": 142, "4356608986854553": 142, "43527525663375854": 142, "43475979566574097": 142, "43425172567367554": 142, "43375009298324585": 142, "43325549364089966": 142, "43280142545700073": 142, "43231815099716187": 142, "43184083700180054": 142, "43137162923812866": 142, "4309085011482239": 142, "4304514527320862": 142, "4300001263618469": 142, "4295564293861389": 142, "4291185736656189": 142, "42853397130966187": 142, "4281134009361267": 142, "42769962549209595": 142, "4272920489311218": 142, "4268917441368103": 142, "4264987111091614": 142, "4261135458946228": 142, "0002998735290020704": 142, "0002709719119593501": 142, "002784917363896966": 142, "0015418613329529762": 142, "00014715488941874355": 142, "001134945428930223": 142, "004491656553000212": 142, "00011259311577305198": 142, "004599536769092083": 142, "01334796380251646": 142, "0007258145487867296": 142, "0024922383017838": 142, "0040872590616345406": 142, "0012007310288026929": 142, "003229421330615878": 142, "00033360716770403087": 142, "0010073536541312933": 142, "0008659597369842231": 142, "0015236537437886": 142, "00010209071479039267": 142, "0009128004894591868": 142, "0001751709496602416": 142, "0025560602080076933": 142, "003914567641913891": 142, "397562224767171e": 142, "00020192416559439152": 142, "0013621370308101177": 142, "015615332871675491": 142, "008823747746646404": 142, "015886502340435982": 142, "00048125957255251706": 142, "74613581597805e": 142, "0008003815310075879": 142, "0005371348233893514": 142, "003132748883217573": 142, "0027071181684732437": 142, "0002755637397058308": 142, "0015859438572078943": 142, "00040693499613553286": 142, "00015987631923053414": 142, "003137110499665141": 142, "0007991294260136783": 142, "0028061021585017443": 142, "0015537830768153071": 142, "00027939610299654305": 142, "014049217104911804": 142, "006652509327977896": 142, "010905842296779156": 142, "0047167264856398106": 142, "0019939870107918978": 142, "002237076172605157": 142, "000949339650105685": 142, "0050126020796597": 142, "003010735847055912": 142, "04512127488851547": 142, "028859833255410194": 142, "005923381540924311": 142, "08023697882890701": 142, "043263498693704605": 142, "03481847792863846": 142, "8120949268341064": 142, "013019699603319168": 142, "90407371520996": 142, "4064671993255615": 142, "384467363357544": 142, "860992431640625": 142, "8273489475250244": 142, "8248136043548584": 142, "935279846191406": 142, "4051295518875122": 142, "207770824432373": 142, "883487701416016": 142, "8250598907470703": 142, "619861602783203": 142, "937671661376953": 142, "4089562892913818": 142, "049346923828125": 142, "864572525024414": 142, "640723705291748": 142, "01311732828617096": 142, "914138793945312": 142, "213581562042236": 142, "368425726890564": 142, "842370986938477": 142, "639553070068359": 142, "8241043090820312": 142, "95041275024414": 142, "111157417297363": 142, "222146034240723": 142, "97098159790039": 142, "6383891105651855": 142, "617165565490723": 142, "9472599029541": 142, "2235894203186035": 142, "0551228523254395": 142, "854782104492188": 142, "468735694885254": 142, "012875021435320377": 142, "90573501586914": 142, "062472343444824": 142, "3692172765731812": 142, "843276977539062": 142, "450688362121582": 142, "8242838382720947": 142, "93653678894043": 142, "160228729248047": 142, "231411457061768": 142, "970548629760742": 142, "452381134033203": 142, "619609355926514": 142, "938756942749023": 142, "056396007537842": 142, "054751396179199": 142, "858295440673828": 142, "636021614074707": 142, "15200662612915": 142, "458147048950195": 142, "633293628692627": 142, "031122207641602": 142, "893957138061523": 142, "4158598780632019": 142, "974025309085846": 142, "9560737013816833": 142, "9438108801841736": 142, "9312019944190979": 142, "9192375540733337": 142, "9075118899345398": 142, "8961665034294128": 142, "8850173354148865": 142, "8740290999412537": 142, "8634544014930725": 142, "8531509041786194": 142, "8430928587913513": 142, "8331252932548523": 142, "8235483765602112": 142, "8141540884971619": 142, "8047240376472473": 142, "7957000136375427": 142, "7868513464927673": 142, "7781738638877869": 142, "7696545720100403": 142, "7607417702674866": 142, "752070963382721": 142, "7439152598381042": 142, "7363410592079163": 142, "7286068797111511": 142, "7209002375602722": 142, "7133633494377136": 142, "7059500813484192": 142, "6987068057060242": 142, "6914835572242737": 142, "6845579743385315": 142, "6777787804603577": 142, "6711388230323792": 142, "664651095867157": 142, "658298671245575": 142, "6520777344703674": 142, "6460828185081482": 142, "6402525305747986": 142, "6343074440956116": 142, "628578245639801": 142, "6229621767997742": 142, "6174100041389465": 142, "6117214560508728": 142, "606438934803009": 142, "6012617945671082": 142, "5961888432502747": 142, "5912211537361145": 142, "5863541960716248": 142, "5815877318382263": 142, "577256977558136": 142, "5727882981300354": 142, "5683135390281677": 142, "563931405544281": 142, "5596439242362976": 142, "5554489493370056": 142, "5514684319496155": 142, "5474544167518616": 142, "5434586405754089": 142, "5396247506141663": 142, "5358514189720154": 142, "5321908593177795": 142, "5286148190498352": 142, "5251228213310242": 142, "5217123627662659": 142, "5183843970298767": 142, "5151343941688538": 142, "5119655728340149": 142, "50887531042099": 142, "5058621764183044": 142, "5029261708259583": 142, "500066339969635": 142, "49728065729141235": 142, "4945691227912903": 142, "4919319748878479": 142, "4893653988838196": 142, "48687177896499634": 142, "4844483733177185": 142, "48209553956985474": 142, "47981351613998413": 142, "4775511622428894": 142, "4754062294960022": 142, "4733327031135559": 142, "4713302254676819": 142, "46940046548843384": 142, "4675411581993103": 142, "46575361490249634": 142, "4642319083213806": 142, "46258097887039185": 142, "46099787950515747": 142, "4594796299934387": 142, "4580238461494446": 142, "456631600856781": 142, "4550538659095764": 142, "45378655195236206": 142, "4525781273841858": 142, "4514309763908386": 142, "4503433108329773": 142, "44931381940841675": 142, "44834190607070923": 142, "4474237561225891": 142, "4465588927268982": 142, "4455403685569763": 142, "4447740912437439": 142, "4440520405769348": 142, "44321924448013306": 142, "4425742030143738": 142, "44196051359176636": 142, "4413604140281677": 142, "44079703092575073": 142, "4402545094490051": 142, "4397280812263489": 142, "43921560049057007": 142, "43871408700942993": 142, "43822211027145386": 142, "43773871660232544": 142, "43726032972335815": 142, "4367902874946594": 142, "4363242983818054": 142, "4356948733329773": 142, "4352380633354187": 142, "43478649854660034": 142, "43433886766433716": 142, "4338964819908142": 142, "4334576725959778": 142, "4330236315727234": 142, "43259531259536743": 142, "4322383999824524": 142, "43185168504714966": 142, "4313907027244568": 142, "43098074197769165": 142, "4305785298347473": 142, "4301837086677551": 142, "42979496717453003": 142, "4294113516807556": 142, "42903417348861694": 142, "42866331338882446": 142, "428297221660614": 142, "427936851978302": 142, "427582323551178": 142, "42726022005081177": 142, "42691653966903687": 142, "4265771508216858": 142, "4260714650154114": 142, "4257400631904602": 142, "42541271448135376": 142, "425088107585907": 142, "424766480922699": 142, "4246053099632263": 142, "42430776357650757": 142, "4239956736564636": 142, "4236857295036316": 142, "4232742190361023": 142, "42296725511550903": 142, "4226621985435486": 142, "42235809564590454": 142, "42199569940567017": 142, "42138463258743286": 142, "42108458280563354": 142, "420785129070282": 142, "420488178730011": 142, "42019397020339966": 142, "41990095376968384": 142, "4194719195365906": 142, "419200599193573": 142, "41891342401504517": 142, "41862910985946655": 142, "4183465838432312": 142, "41806691884994507": 142, "41779011487960815": 142, "41751569509506226": 142, "4172442555427551": 142, "41693538427352905": 142, "4166688323020935": 142, "4164050221443176": 142, "4162061810493469": 142, "41584259271621704": 142, "4155903458595276": 142, "415341317653656": 142, "41509443521499634": 142, "41485053300857544": 142, "4146086573600769": 142, "41447216272354126": 142, "4142358899116516": 142, "41391366720199585": 142, "4136868119239807": 142, "4134618639945984": 142, "4132387042045593": 142, "4130175709724426": 142, "4127987027168274": 142, "41258102655410767": 142, "41236621141433716": 142, "4121524691581726": 142, "4117334485054016": 142, "4115237593650818": 142, "41130536794662476": 142, "41110438108444214": 142, "4109073281288147": 142, "4106876254081726": 142, "41049832105636597": 142, "41031497716903687": 142, "4101371169090271": 142, "4100378155708313": 142, "4098777174949646": 142, "4097232222557068": 142, "40959495306015015": 142, "40944260358810425": 142, "4093068242073059": 142, "4093093276023865": 142, "40901464223861694": 142, "4088919758796692": 142, "4087827801704407": 142, "40867918729782104": 142, "40857917070388794": 142, "408485472202301": 142, "40839582681655884": 142, "4083107113838196": 142, "4082297682762146": 142, "4081529974937439": 142, "408083975315094": 142, "40801864862442017": 142, "4079590439796448": 142, "4079055190086365": 142, "40786975622177124": 142, "40782636404037476": 142, "4077889323234558": 142, "4077576994895935": 142, "40773385763168335": 142, "4077131152153015": 142, "40770190954208374": 142, "40769726037979126": 142, "40770071744918823": 142, "4071916937828064": 142, "4072105288505554": 142, "40703850984573364": 142, "40707117319107056": 142, "4071353077888489": 142, "40718287229537964": 142, "40723711252212524": 142, "4073004126548767": 142, "4073721766471863": 142, "4074508547782898": 142, "40754085779190063": 142, "40763574838638306": 142, "4077398180961609": 142, "40784960985183716": 142, "4079659581184387": 142, "40809065103530884": 142, "40822261571884155": 142, "40836089849472046": 142, "4084152579307556": 142, "4085659384727478": 142, "40871983766555786": 142, "40887922048568726": 142, "40904301404953003": 142, "4092089533805847": 142, "4093779921531677": 142, "4097910523414612": 142, "40996450185775757": 142, "41015785932540894": 142, "4102422595024109": 142, "4104136824607849": 142, "41010862588882446": 142, "4102899432182312": 142, "4104720950126648": 142, "410653293132782": 142, "4108343720436096": 142, "4110143780708313": 142, "4111940264701843": 142, "41137224435806274": 142, "4115493893623352": 142, "4117477536201477": 142, "4119204878807068": 142, "41209179162979126": 142, "412354052066803": 142, "4125208258628845": 142, "4126867651939392": 142, "41285020112991333": 142, "4131852984428406": 142, "4133489727973938": 142, "41351133584976196": 142, "4136722683906555": 142, "4138321280479431": 142, "41399091482162476": 142, "4142053723335266": 142, "4143611788749695": 142, "41451460123062134": 142, "4144582152366638": 142, "4146069884300232": 142, "4147542119026184": 142, "41492968797683716": 142, "4150732159614563": 142, "4152145981788635": 142, "4153534770011902": 142, "4153544306755066": 142, "41548651456832886": 142, "41561537981033325": 142, "41573983430862427": 142, "4158596396446228": 142, "4158678650856018": 142, "00013302330626174808": 142, "00398521963506937": 142, "003930509556084871": 142, "0004240581183694303": 142, "4120483683655038e": 142, "0030575988348573446": 142, "0006652064621448517": 142, "002195518696680665": 142, "0007068111444823444": 142, "0026128299068659544": 142, "008077109232544899": 142, "0011839153012260795": 142, "003044521901756525": 142, "0005068441387265921": 142, "0009006736800074577": 142, "00032612888026051223": 142, "005035154055804014": 142, "005835358984768391": 142, "0006973027484491467": 142, "004074004013091326": 142, "005383135285228491": 142, "0007675219676457345": 142, "0042319530621171": 142, "0017827998381108046": 142, "000321524974424392": 142, "008483629673719406": 142, "007031999062746763": 142, "007946386002004147": 142, "006386053282767534": 142, "00991095695644617": 142, "0002590190269984305": 142, "0022774774115532637": 142, "004454253241419792": 142, "0015527347568422556": 142, "005342293530702591": 142, "006593655329197645": 142, "0002557217958383262": 142, "00411184411495924": 142, "005098612513393164": 142, "0014659827575087547": 142, "0023577583488076925": 142, "0028538124170154333": 142, "0006034914986230433": 142, "003006248502060771": 142, "0005797109915874898": 142, "012185744941234589": 142, "0029437635093927383": 142, "008086997084319592": 142, "0008690000977367163": 142, "00032917229691520333": 142, "0006057707942090929": 142, "001893640379421413": 142, "00598841393366456": 142, "00901841651648283": 142, "0022114235907793045": 142, "014249404892325401": 142, "0036725851241499186": 142, "004304520785808563": 142, "03328120708465576": 142, "02813894860446453": 142, "8409459590911865": 142, "007806401699781418": 142, "95642852783203": 142, "3834117650985718": 142, "4388059377670288": 142, "83723258972168": 142, "832946300506592": 142, "819889545440674": 142, "931509017944336": 142, "3935250043869019": 142, "24556303024292": 142, "852699279785156": 142, "8310651779174805": 142, "655862331390381": 142, "92992401123047": 142, "3818546533584595": 142, "054419040679932": 142, "83443260192871": 142, "621585845947266": 142, "008817804977297783": 142, "951683044433594": 142, "238090515136719": 142, "542514443397522": 142, "97442054748535": 142, "62803840637207": 142, "820902109146118": 142, "930435180664062": 142, "225475788116455": 142, "2322869300842285": 142, "87671661376953": 142, "629326343536377": 142, "6553192138671875": 142, "929336547851562": 142, "249390602111816": 142, "9202165603637695": 142, "961091995239258": 142, "46143627166748": 142, "007474245969206095": 142, "907203674316406": 142, "071386814117432": 142, "4317364692687988": 142, "844030380249023": 142, "461356163024902": 142, "834460973739624": 142, "895963668823242": 142, "067915916442871": 142, "241921424865723": 142, "85126304626465": 142, "461958885192871": 142, "641720294952393": 142, "89528465270996": 142, "074244499206543": 142, "055065155029297": 142, "84449577331543": 142, "201851844787598": 142, "014033435843884945": 142, "428937911987305": 142, "104383945465088": 142, "029208676889538765": 142, "8151912689209": 142, "4116225838661194": 142, "0250027179718018": 142, "012186050415039": 142, "0029854774475098": 142, "9939834475517273": 142, "9851667284965515": 142, "9765205979347229": 142, "9680243134498596": 142, "9593701958656311": 142, "9513766169548035": 142, "9438350796699524": 142, "9364292025566101": 142, "9292613863945007": 142, "9221763014793396": 142, "915553867816925": 142, "9091817736625671": 142, "9031855463981628": 142, "8969373106956482": 142, "8913206458091736": 142, "8857489228248596": 142, "880337655544281": 142, "8750689625740051": 142, "8698537945747375": 142, "8650681376457214": 142, "8600861430168152": 142, "8552675843238831": 142, "8505801558494568": 142, "8457896113395691": 142, "8411574959754944": 142, "8367195725440979": 142, "8323580622673035": 142, "8282042145729065": 142, "8239805102348328": 142, "8198168873786926": 142, "8157141804695129": 142, "8116728663444519": 142, "807678759098053": 142, "8037329316139221": 142, "7998351454734802": 142, "7959786057472229": 142, "7921621203422546": 142, "7883839011192322": 142, "7846447825431824": 142, "7809392809867859": 142, "7773312926292419": 142, "7736915946006775": 142, "7700827717781067": 142, "7665008902549744": 142, "7629445195198059": 142, "7594185471534729": 142, "7557149529457092": 142, "7522857785224915": 142, "7488260865211487": 142, "7453916668891907": 142, "742060124874115": 142, "7388702034950256": 142, "7355065941810608": 142, "7318481802940369": 142, "7285308241844177": 142, "725360095500946": 142, "7221099734306335": 142, "7188828587532043": 142, "7156791090965271": 142, "7124975323677063": 142, "7093388438224792": 142, "7062035202980042": 142, "7030866742134094": 142, "6999925971031189": 142, "6969203352928162": 142, "6938614249229431": 142, "6908294558525085": 142, "6878167986869812": 142, "6848242878913879": 142, "681852400302887": 142, "6788994669914246": 142, "6759660840034485": 142, "6730527281761169": 142, "670157253742218": 142, "6672800183296204": 142, "6642783284187317": 142, "6614405512809753": 142, "6586199402809143": 142, "6558172106742859": 142, "653034508228302": 142, "6502713561058044": 142, "6475276350975037": 142, "6448035836219788": 142, "6421017050743103": 142, "6394192576408386": 142, "6367568373680115": 142, "6341142058372498": 142, "6314894556999207": 142, "6288847327232361": 142, "6262961030006409": 142, "6237044930458069": 142, "6212406754493713": 142, "6186957955360413": 142, "6166858077049255": 142, "6141671538352966": 142, "6116618514060974": 142, "6091699004173279": 142, "6066926121711731": 142, "604228675365448": 142, "6017757058143616": 142, "5993339419364929": 142, "5969061255455017": 142, "5944929718971252": 142, "5920358300209045": 142, "5896535515785217": 142, "5872843861579895": 142, "5849317908287048": 142, "582594096660614": 142, "5802862048149109": 142, "5779792666435242": 142, "5755673050880432": 142, "5732967257499695": 142, "5710436701774597": 142, "5688092112541199": 142, "5665941834449768": 142, "5643981099128723": 142, "5622202754020691": 142, "5600616335868835": 142, "5579214692115784": 142, "555798351764679": 142, "5536934733390808": 142, "5516412854194641": 142, "5495709776878357": 142, "5475174784660339": 142, "5454795956611633": 142, "5434601902961731": 142, "5414556860923767": 142, "5394672751426697": 142, "537494957447052": 142, "5355387330055237": 142, "5335976481437683": 142, "5316738486289978": 142, "5297670960426331": 142, "5278779864311218": 142, "5258073210716248": 142, "5239549279212952": 142, "5221218466758728": 142, "5203078389167786": 142, "5185120701789856": 142, "5168651938438416": 142, "5151095986366272": 142, "5133740305900574": 142, "5116583704948425": 142, "509962260723114": 142, "5082880854606628": 142, "5065293908119202": 142, "5049238801002502": 142, "5033026337623596": 142, "5016996264457703": 142, "500113308429718": 142, "49854499101638794": 142, "4969850182533264": 142, "4954443573951721": 142, "4939160943031311": 142, "4924015402793884": 142, "4908955693244934": 142, "48940080404281616": 142, "4879152178764343": 142, "486439049243927": 142, "48497194051742554": 142, "4835107922554016": 142, "48205751180648804": 142, "48061078786849976": 142, "4791714549064636": 142, "4777377247810364": 142, "4763118624687195": 142, "47489291429519653": 142, "4734814763069153": 142, "47207754850387573": 142, "47080665826797485": 142, "4694201350212097": 142, "4680413603782654": 142, "46667319536209106": 142, "46531277894973755": 142, "4639645218849182": 142, "46262651681900024": 142, "4613472819328308": 142, "4600406289100647": 142, "45872849225997925": 142, "4574781060218811": 142, "45653706789016724": 142, "45514827966690063": 142, "453978955745697": 142, "4528340697288513": 142, "4517133831977844": 142, "450617253780365": 142, "44954270124435425": 142, "4484899640083313": 142, "44765704870224": 142, "4466453194618225": 142, "4456518292427063": 142, "4446790814399719": 142, "4437231421470642": 142, "44278424978256226": 142, "4418615698814392": 142, "44091159105300903": 142, "44002097845077515": 142, "4391462206840515": 142, "43831688165664673": 142, "437572181224823": 142, "4367406964302063": 142, "43592339754104614": 142, "4351192116737366": 142, "4343293309211731": 142, "4335535168647766": 142, "43279021978378296": 142, "43221229314804077": 142, "43147140741348267": 142, "43074268102645874": 142, "4300268292427063": 142, "42932313680648804": 142, "42863208055496216": 142, "42800015211105347": 142, "4273328185081482": 142, "426677405834198": 142, "42611485719680786": 142, "4254809021949768": 142, "4249337315559387": 142, "42431873083114624": 142, "4237160086631775": 142, "423123300075531": 142, "42254024744033813": 142, "421966016292572": 142, "42163580656051636": 142, "4210873246192932": 142, "42054814100265503": 142, "42001694440841675": 142, "41930872201919556": 142, "41889339685440063": 142, "4183902144432068": 142, "41801542043685913": 142, "41752809286117554": 142, "4169885516166687": 142, "41652029752731323": 142, "4160611033439636": 142, "4156114459037781": 142, "4151710867881775": 142, "4147433638572693": 142, "4143221974372864": 142, "4139097332954407": 142, "41350609064102173": 142, "4133719801902771": 142, "4129886031150818": 142, "41261452436447144": 142, "4123536944389343": 142, "4119991660118103": 142, "41148215532302856": 142, "4111477732658386": 142, "41082435846328735": 142, "41051238775253296": 142, "41021305322647095": 142, "40992623567581177": 142, "4096522927284241": 142, "40938037633895874": 142, "4092567563056946": 142, "4090256094932556": 142, "4088103175163269": 142, "4084790349006653": 142, "4082069993019104": 142, "40804392099380493": 142, "40801042318344116": 142, "4078816771507263": 142, "4079132676124573": 142, "4076823592185974": 142, "40760892629623413": 142, "40770381689071655": 142, "4076247811317444": 142, "4075501561164856": 142, "4075530171394348": 142, "40757423639297485": 142, "4076123833656311": 142, "4076690077781677": 142, "40774255990982056": 142, "40783101320266724": 142, "40789467096328735": 142, "4080119729042053": 142, "4081403613090515": 142, "4081493020057678": 142, "40830379724502563": 142, "40846842527389526": 142, "40837329626083374": 142, "40855687856674194": 142, "4087476134300232": 142, "40894395112991333": 142, "40906697511672974": 142, "40927380323410034": 142, "4094846844673157": 142, "4096985459327698": 142, "41011470556259155": 142, "4103335738182068": 142, "4105531573295593": 142, "41097110509872437": 142, "4111711382865906": 142, "4112216830253601": 142, "4113311171531677": 142, "41142112016677856": 142, "002164674224331975": 142, "007208201568573713": 142, "00020104653958696872": 142, "00035768988891504705": 142, "008839273825287819": 142, "0037694168277084827": 142, "0008255772991105914": 142, "009447393007576466": 142, "004680751822888851": 142, "001182595849968493": 142, "006061289459466934": 142, "003202901454642415": 142, "0045573655515909195": 142, "0035078979562968016": 142, "007007943466305733": 142, "0007370334933511913": 142, "007479027844965458": 142, "003916593734174967": 142, "590033909655176e": 142, "007334111724048853": 142, "000547250616364181": 142, "001126613817177713": 142, "006540192291140556": 142, "0058017512783408165": 142, "0004929543356411159": 142, "008335571736097336": 142, "0035261758603155613": 142, "0004107234126422554": 142, "0028054460417479277": 142, "002220302587375045": 142, "0032081531826406717": 142, "004285536706447601": 142, "0035061356611549854": 142, "008545794524252415": 142, "01603364571928978": 142, "016571635380387306": 142, "0009520893217995763": 142, "004125230945646763": 142, "0009681974188424647": 142, "00015232684381771833": 142, "008257275447249413": 142, "0028429084923118353": 142, "0005742646753787994": 142, "003464340465143323": 142, "00237387977540493": 142, "0027855155058205128": 142, "004609947092831135": 142, "0037704468704760075": 142, "0008427454740740359": 142, "002622220665216446": 142, "003011151449754834": 142, "004206551238894463": 142, "00696370005607605": 142, "001105348696000874": 142, "012365894392132759": 142, "0065665822476148605": 142, "01785912923514843": 142, "011690134182572365": 142, "03220631182193756": 142, "023005452007055283": 142, "817997694015503": 142, "0040313471108675": 142, "922224044799805": 142, "353698968887329": 142, "3846123218536377": 142, "873327255249023": 142, "841855049133301": 142, "771416664123535": 142, "960363388061523": 142, "399291753768921": 142, "230617523193359": 142, "838153839111328": 142, "8070783615112305": 142, "608706474304199": 142, "88105583190918": 142, "3933861255645752": 142, "0176777839660645": 142, "825302124023438": 142, "621747016906738": 142, "016346510499715805": 142, "957788467407227": 142, "0324625968933105": 142, "4269078969955444": 142, "02794647216797": 142, "632384777069092": 142, "7834951877593994": 142, "95966148376465": 142, "225474834442139": 142, "236487865447998": 142, "842527389526367": 142, "640311241149902": 142, "623326301574707": 142, "89190101623535": 142, "19938850402832": 142, "993443489074707": 142, "801433563232422": 142, "441221237182617": 142, "0011785280657932162": 142, "917903900146484": 142, "08062219619751": 142, "3851794004440308": 142, "98472023010254": 142, "445775985717773": 142, "7900736331939697": 142, "93354034423828": 142, "057900905609131": 142, "235611915588379": 142, "834482192993164": 142, "462961196899414": 142, "6261420249938965": 142, "884578704833984": 142, "049704074859619": 142, "011697769165039": 142, "81972885131836": 142, "357604503631592": 142, "1790128946304321": 142, "584087371826172": 142, "281094074249268": 142, "20596881210803986": 142, "737916946411133": 142, "5740272402763367": 142, "3076214790344238": 142, "2942464351654053": 142, "2824928760528564": 142, "2713987827301025": 142, "260730504989624": 142, "2503290176391602": 142, "2401401996612549": 142, "230173110961914": 142, "2205791473388672": 142, "2119054794311523": 142, "2032091617584229": 142, "1949524879455566": 142, "1869220733642578": 142, "179081678390503": 142, "1713721752166748": 142, "1641290187835693": 142, "157184362411499": 142, "150172472000122": 142, "1370913982391357": 142, "1306796073913574": 142, "1242156028747559": 142, "118091344833374": 142, "1121139526367188": 142, "1061837673187256": 142, "1004421710968018": 142, "0948143005371094": 142, "0892987251281738": 142, "0837650299072266": 142, "078521728515625": 142, "0734062194824219": 142, "0682692527770996": 142, "0632579326629639": 142, "0583348274230957": 142, "053497076034546": 142, "0487396717071533": 142, "0440592765808105": 142, "0394556522369385": 142, "0349385738372803": 142, "0304875373840332": 142, "0261046886444092": 142, "0214636325836182": 142, "0171000957489014": 142, "0130572319030762": 142, "0091216564178467": 142, "0052917003631592": 142, "0015652179718018": 142, "9974434971809387": 142, "9941089749336243": 142, "9905291199684143": 142, "9871099591255188": 142, "9838340878486633": 142, "9815889000892639": 142, "9784528613090515": 142, "9753883481025696": 142, "9723917841911316": 142, "9694599509239197": 142, "9665883183479309": 142, "9637753367424011": 142, "9609845280647278": 142, "9582808613777161": 142, "9556283354759216": 142, "9530228972434998": 142, "9504619240760803": 142, "9479451775550842": 142, "9454699158668518": 142, "9430336356163025": 142, "940329372882843": 142, "9379631876945496": 142, "93563312292099": 142, "9333304762840271": 142, "9310612082481384": 142, "928822934627533": 142, "9263713955879211": 142, "9241860508918762": 142, "9220255017280579": 142, "9198902249336243": 142, "9178759455680847": 142, "9157895445823669": 142, "9137257933616638": 142, "9116837382316589": 142, "9096621870994568": 142, "9079040884971619": 142, "9059273600578308": 142, "903968870639801": 142, "902028501033783": 142, "9001051783561707": 142, "8982304930686951": 142, "896341860294342": 142, "8944717049598694": 142, "8926164507865906": 142, "8907793164253235": 142, "8889582753181458": 142, "8871532082557678": 142, "8853644728660583": 142, "8835921883583069": 142, "881834089756012": 142, "8800929188728333": 142, "8783677220344543": 142, "8766570687294006": 142, "8749608397483826": 142, "8732791543006897": 142, "8716123700141907": 142, "8699607253074646": 142, "8683237433433533": 142, "8666996359825134": 142, "865090548992157": 142, "8634935021400452": 142, "8619088530540466": 142, "8603361248970032": 142, "858751118183136": 142, "8574852347373962": 142, "8560592532157898": 142, "8545321822166443": 142, "8530165553092957": 142, "8515101075172424": 142, "8500146269798279": 142, "8485298752784729": 142, "847054660320282": 142, "8455894589424133": 142, "8441339135169983": 142, "8427271246910095": 142, "8412905335426331": 142, "8398638367652893": 142, "8384464383125305": 142, "8370369076728821": 142, "8356384634971619": 142, "8342477679252625": 142, "8328664898872375": 142, "8314090371131897": 142, "8300459980964661": 142, "8286914229393005": 142, "8273459076881409": 142, "8260080218315125": 142, "824680507183075": 142, "8233605027198792": 142, "8220484852790833": 142, "8207452893257141": 142, "8194504380226135": 142, "8181628584861755": 142, "8163829445838928": 142, "8151101469993591": 142, "8138429522514343": 142, "8125839829444885": 142, "8113285899162292": 142, "8100808262825012": 142, "8088375926017761": 142, "807600200176239": 142, "806366503238678": 142, "8052181601524353": 142, "8039926886558533": 142, "8027697205543518": 142, "8015504479408264": 142, "8003326058387756": 142, "7991181015968323": 142, "7979046702384949": 142, "7966919541358948": 142, "795471727848053": 142, "7942637801170349": 142, "7930553555488586": 142, "791845977306366": 142, "7906351685523987": 142, "7894230484962463": 142, "7882081866264343": 142, "7869909405708313": 142, "7857654690742493": 142, "7845844626426697": 142, "7833581566810608": 142, "7821270823478699": 142, "7808937430381775": 142, "7797554135322571": 142, "7785101532936096": 142, "7772607207298279": 142, "7760061621665955": 142, "7747462391853333": 142, "7734801173210144": 142, "7722081542015076": 142, "7709299921989441": 142, "7696459889411926": 142, "7683554291725159": 142, "7670583128929138": 142, "7657551169395447": 142, "764445960521698": 142, "7631300091743469": 142, "7618077397346497": 142, "7604790329933167": 142, "7591442465782166": 142, "7578029036521912": 142, "7564557194709778": 142, "7551016211509705": 142, "7537420392036438": 142, "7523756623268127": 142, "7510038018226624": 142, "7496252655982971": 142, "7482404112815857": 142, "7468480467796326": 142, "7454512715339661": 142, "7438930869102478": 142, "7424803376197815": 142, "741061270236969": 142, "7396355271339417": 142, "738204300403595": 142, "7367658019065857": 142, "7344408631324768": 142, "7329891324043274": 142, "7315313220024109": 142, "7300654053688049": 142, "7285932898521423": 142, "7277643084526062": 142, "7262749075889587": 142, "7247071862220764": 142, "7232072949409485": 142, "7217002511024475": 142, "7201878428459167": 142, "7186688780784607": 142, "7171439528465271": 142, "7156131863594055": 142, "7140758633613586": 142, "712532103061676": 142, "7109825015068054": 142, "7093454003334045": 142, "7077793478965759": 142, "7062063813209534": 142, "7046281695365906": 142, "7030443549156189": 142, "7014531493186951": 142, "6998561024665833": 142, "6982529759407043": 142, "696643054485321": 142, "6950281262397766": 142, "6934055685997009": 142, "6917778849601746": 142, "6901434063911438": 142, "6885040402412415": 142, "6868587136268616": 142, "6852090954780579": 142, "6835547089576721": 142, "6818951964378357": 142, "6802330613136292": 142, "6785654425621033": 142, "6768948435783386": 142, "6751757264137268": 142, "673496663570404": 142, "6718150973320007": 142, "6701295971870422": 142, "6684417128562927": 142, "6667496562004089": 142, "6650550961494446": 142, "6633570790290833": 142, "6616553664207458": 142, "659950315952301": 142, "6582407355308533": 142, "6565267443656921": 142, "6548102498054504": 142, "6530885100364685": 142, "651362955570221": 142, "6496331095695496": 142, "6478992104530334": 142, "6460668444633484": 142, "644324004650116": 142, "6425771117210388": 142, "6408255696296692": 142, "6390693783760071": 142, "6373319029808044": 142, "6354274153709412": 142, "6336579918861389": 142, "6318832039833069": 142, "630105197429657": 142, "6283213496208191": 142, "6265329718589783": 142, "6247405409812927": 142, "621325671672821": 142, "6195541024208069": 142, "6177589297294617": 142, "6159593462944031": 142, "6141547560691833": 142, "6123442053794861": 142, "6111393570899963": 142, "6093193888664246": 142, "6073737740516663": 142, "6055422425270081": 142, "6037076115608215": 142, "6048418879508972": 142, "6030027270317078": 142, "6011567711830139": 142, "5993072390556335": 142, "5972937941551208": 142, "5954373478889465": 142, "5935798287391663": 142, "5917206406593323": 142, "589859664440155": 142, "5889526009559631": 142, "5870872139930725": 142, "5852205157279968": 142, "583354651927948": 142, "5814880728721619": 142, "5796228051185608": 142, "5777563452720642": 142, "5758911967277527": 142, "03577476739883423": 142, "01284852996468544": 142, "012716785073280334": 142, "05542204529047012": 142, "009252716787159443": 142, "052971597760915756": 142, "08633650094270706": 142, "06122513860464096": 142, "06254185736179352": 142, "004451257176697254": 142, "009446398355066776": 142, "05503738299012184": 142, "005911382846534252": 142, "04527895152568817": 142, "044423993676900864": 142, "2047926399391145e": 142, "009582217782735825": 142, "0689481720328331": 142, "005361462011933327": 142, "004492141306400299": 142, "010861925780773163": 142, "012773384340107441": 142, "02358904667198658": 142, "1582973450422287": 142, "013257190585136414": 142, "022500645369291306": 142, "0001316317357122898": 142, "023764804005622864": 142, "016690632328391075": 142, "034306928515434265": 142, "011452589184045792": 142, "020345298573374748": 142, "04246233031153679": 142, "0027081500738859177": 142, "06966805458068848": 142, "11365120857954025": 142, "03388373553752899": 142, "005687167402356863": 142, "04930521175265312": 142, "09205594658851624": 142, "04020191356539726": 142, "16896533966064453": 142, "061539892107248306": 142, "019202815368771553": 142, "06331973522901535": 142, "022049808874726295": 142, "012025991454720497": 142, "06140673905611038": 142, "007165207527577877": 142, "840822945581749e": 142, "034733306616544724": 142, "015767375007271767": 142, "006679042242467403": 142, "07031134516000748": 142, "3352586030960083": 142, "024963293224573135": 142, "31001758575439453": 142, "24370037019252777": 142, "14925456047058105": 142, "07520539313554764": 142, "8051042556762695": 142, "0035179941914975643": 142, "93640899658203": 142, "3032197952270508": 142, "4568880796432495": 142, "81378936767578": 142, "803196907043457": 142, "8247148990631104": 142, "91661262512207": 142, "3806443214416504": 142, "224496364593506": 142, "864721298217773": 142, "798997640609741": 142, "634286403656006": 142, "915842056274414": 142, "2807034254074097": 142, "983482360839844": 142, "797557830810547": 142, "611734867095947": 142, "0009930122178047895": 142, "946517944335938": 142, "185971736907959": 142, "4725675582885742": 142, "95499038696289": 142, "591222286224365": 142, "8024494647979736": 142, "981473922729492": 142, "193968296051025": 142, "231596946716309": 142, "900190353393555": 142, "580230236053467": 142, "670497417449951": 142, "990114212036133": 142, "187221050262451": 142, "984682559967041": 142, "968191146850586": 142, "427118301391602": 142, "0013109741266816854": 142, "90236473083496": 142, "031991958618164": 142, "404109239578247": 142, "88102149963379": 142, "421578407287598": 142, "8301403522491455": 142, "89989471435547": 142, "045224189758301": 142, "227578163146973": 142, "880807876586914": 142, "407693862915039": 142, "618571758270264": 142, "8904972076416": 142, "025047302246094": 142, "055603981018066": 142, "88098907470703": 142, "4482712745666504": 142, "06526684015989304": 142, "38460922241211": 142, "440088987350464": 142, "15325607359409332": 142, "310359954833984": 142, "8504460453987122": 142, "815304756164551": 142, "781947135925293": 142, "7555766105651855": 142, "731398582458496": 142, "7084102630615234": 142, "6866347789764404": 142, "665038824081421": 142, "6442394256591797": 142, "6238114833831787": 142, "603708505630493": 142, "5835018157958984": 142, "563987970352173": 142, "544649124145508": 142, "5256688594818115": 142, "5069453716278076": 142, "4884228706359863": 142, "469736337661743": 142, "451739549636841": 142, "4339773654937744": 142, "416630983352661": 142, "4000041484832764": 142, "3839244842529297": 142, "3684935569763184": 142, "3537166118621826": 142, "339458703994751": 142, "3255910873413086": 142, "312154531478882": 142, "299274444580078": 142, "286825656890869": 142, "2747929096221924": 142, "2631494998931885": 142, "251882553100586": 142, "2411231994628906": 142, "230689287185669": 142, "220561981201172": 142, "21063232421875": 142, "2010116577148438": 142, "191490888595581": 142, "182420253753662": 142, "1735806465148926": 142, "1649513244628906": 142, "156580924987793": 142, "1482861042022705": 142, "1403768062591553": 142, "1326611042022705": 142, "1251327991485596": 142, "11771297454834": 142, "110527515411377": 142, "103574275970459": 142, "096748113632202": 142, "090010404586792": 142, "083496332168579": 142, "07702374458313": 142, "0705583095550537": 142, "064310312271118": 142, "0581674575805664": 142, "0521209239959717": 142, "040286064147949": 142, "0345566272735596": 142, "028825283050537": 142, "0232274532318115": 142, "0176234245300293": 142, "012071132659912": 142, "006566047668457": 142, "0011043548583984": 142, "9956796169281006": 142, "9902923107147217": 142, "984931468963623": 142, "979600191116333": 142, "9742908477783203": 142, "9689157009124756": 142, "9636459350585938": 142, "9584531784057617": 142, "953214168548584": 142, "9480628967285156": 142, "942845344543457": 142, "9376330375671387": 142, "9324216842651367": 142, "9272127151489258": 142, "9220058917999268": 142, "9167966842651367": 142, "9115829467773438": 142, "906362533569336": 142, "9012727737426758": 142, "8960442543029785": 142, "8908076286315918": 142, "885563850402832": 142, "8803126811981201": 142, "875051498413086": 142, "8697822093963623": 142, "864501714706421": 142, "8592095375061035": 142, "8539068698883057": 142, "8485944271087646": 142, "8437814712524414": 142, "8384485244750977": 142, "8331031799316406": 142, "827747106552124": 142, "8223793506622314": 142, "8170020580291748": 142, "8116161823272705": 142, "8062210083007812": 142, "8008203506469727": 142, "7954111099243164": 142, "7899959087371826": 142, "784430980682373": 142, "779003381729126": 142, "7735657691955566": 142, "7681307792663574": 142, "7626893520355225": 142, "7572433948516846": 142, "7517046928405762": 142, "7462482452392578": 142, "7407863140106201": 142, "735321283340454": 142, "7298524379730225": 142, "7243783473968506": 142, "7188987731933594": 142, "7130568027496338": 142, "7075715065002441": 142, "7017300128936768": 142, "6962263584136963": 142, "6907169818878174": 142, "6851553916931152": 142, "6796314716339111": 142, "6741037368774414": 142, "6683075428009033": 142, "6627776622772217": 142, "6572279930114746": 142, "6516647338867188": 142, "6458725929260254": 142, "6402912139892578": 142, "6347005367279053": 142, "6291005611419678": 142, "6234922409057617": 142, "6178765296936035": 142, "6121642589569092": 142, "6065304279327393": 142, "6008903980255127": 142, "5952441692352295": 142, "5895943641662598": 142, "583942174911499": 142, "5782825946807861": 142, "5726284980773926": 142, "5667049884796143": 142, "561056137084961": 142, "555403709411621": 142, "5497534275054932": 142, "5441069602966309": 142, "5384652614593506": 142, "5328283309936523": 142, "52720046043396": 142, "521608591079712": 142, "5159986019134521": 142, "510396957397461": 142, "5048108100891113": 142, "499237298965454": 142, "4936792850494385": 142, "4881389141082764": 142, "4826164245605469": 142, "47711181640625": 142, "471625804901123": 142, "4661569595336914": 142, "4607088565826416": 142, "455277442932129": 142, "4498703479766846": 142, "4443669319152832": 142, "4389958381652832": 142, "4336435794830322": 142, "4286823272705078": 142, "4233672618865967": 142, "4180707931518555": 142, "4127888679504395": 142, "4072463512420654": 142, "4019925594329834": 142, "3967573642730713": 142, "3915340900421143": 142, "386324405670166": 142, "381126880645752": 142, "3759398460388184": 142, "3707633018493652": 142, "3655965328216553": 142, "3604402542114258": 142, "3552920818328857": 142, "3501510620117188": 142, "3398957252502441": 142, "33477783203125": 142, "3296701908111572": 142, "3245701789855957": 142, "3194773197174072": 142, "314391851425171": 142, "309316635131836": 142, "304245948791504": 142, "2990496158599854": 142, "2939863204956055": 142, "2889482975006104": 142, "2839179039001465": 142, "2788965702056885": 142, "27388334274292": 142, "2688798904418945": 142, "2638835906982422": 142, "2588963508605957": 142, "2539176940917969": 142, "2488865852355957": 142, "2439219951629639": 142, "2389652729034424": 142, "2340173721313477": 142, "2290780544281006": 142, "2241451740264893": 142, "2192223072052002": 142, "214303970336914": 142, "2093961238861084": 142, "2044520378112793": 142, "1995556354522705": 142, "1946649551391602": 142, "1899118423461914": 142, "185044765472412": 142, "1801745891571045": 142, "1753122806549072": 142, "1704902648925781": 142, "1656577587127686": 142, "1608431339263916": 142, "156043529510498": 142, "1512603759765625": 142, "1464626789093018": 142, "1369786262512207": 142, "1322617530822754": 142, "1277048587799072": 142, "1230223178863525": 142, "1140081882476807": 142, "1090497970581055": 142, "1044416427612305": 142, "099855661392212": 142, "0952911376953125": 142, "0907459259033203": 142, "086221694946289": 142, "0817739963531494": 142, "077294111251831": 142, "0728347301483154": 142, "0683975219726562": 142, "063981533050537": 142, "0595877170562744": 142, "0552175045013428": 142, "0506174564361572": 142, "0462896823883057": 142, "0419840812683105": 142, "0376977920532227": 142, "0334346294403076": 142, "0291926860809326": 142, "0249707698822021": 142, "0207700729370117": 142, "016775131225586": 142, "012618064880371": 142, "0084803104400635": 142, "0043625831604004": 142, "000265121459961": 142, "9960668683052063": 142, "9919531941413879": 142, "9879165291786194": 142, "983897864818573": 142, "979895293712616": 142, "9759119153022766": 142, "9719471335411072": 142, "9679984450340271": 142, "9640697836875916": 142, "9601565003395081": 142, "9562612175941467": 142, "9523836970329285": 142, "94852215051651": 142, "9449183344841003": 142, "9410912394523621": 142, "9372790455818176": 142, "9334810376167297": 142, "929487407207489": 142, "925719678401947": 142, "9219703078269958": 142, "9182375073432922": 142, "9145202040672302": 142, "9108203053474426": 142, "9071343541145325": 142, "9034672379493713": 142, "8998144268989563": 142, "8961780667304993": 142, "8925586342811584": 142, "8889569640159607": 142, "8853701949119568": 142, "881801426410675": 142, "8782479166984558": 142, "874710738658905": 142, "8711900115013123": 142, "8676881194114685": 142, "8642038702964783": 142, "8607370257377625": 142, "8572879433631897": 142, "8538580536842346": 142, "008375035598874092": 142, "00766090489923954": 142, "03577893227338791": 142, "015473701991140842": 142, "0459965281188488": 142, "016287874430418015": 142, "022160101681947708": 142, "018600579351186752": 142, "007806582376360893": 142, "05287009850144386": 142, "0011337522882968187": 142, "04651002958416939": 142, "02255718968808651": 142, "005682012531906366": 142, "01177536603063345": 142, "05271007493138313": 142, "08315231651067734": 142, "04343400523066521": 142, "04461739584803581": 142, "0018913422245532274": 142, "02242184244096279": 142, "10826633125543594": 142, "02495681308209896": 142, "12218325585126877": 142, "051459431648254395": 142, "01972021535038948": 142, "009915518574416637": 142, "043214160948991776": 142, "021599793806672096": 142, "00377287226729095": 142, "022663645446300507": 142, "016571952030062675": 142, "02336493693292141": 142, "013155397959053516": 142, "09263508021831512": 142, "03612382337450981": 142, "017712151631712914": 142, "0033124960027635098": 142, "01798848807811737": 142, "0300416462123394": 142, "0011408529244363308": 142, "02945714071393013": 142, "051517195999622345": 142, "01603880152106285": 142, "06376722455024719": 142, "019220465794205666": 142, "005552881397306919": 142, "026262661442160606": 142, "025328489020466805": 142, "891256584320217e": 142, "0415642186999321": 142, "017553409561514854": 142, "007703795563429594": 142, "029271356761455536": 142, "5455066561698914": 142, "02032209187746048": 142, "06467241793870926": 142, "6645448207855225": 142, "23729915916919708": 142, "009187931194901466": 142, "8497183322906494": 142, "012289118021726608": 142, "95484161376953": 142, "3883278369903564": 142, "4386732578277588": 142, "816539764404297": 142, "8406198024749756": 142, "8244664669036865": 142, "923879623413086": 142, "3911243677139282": 142, "247402667999268": 142, "82383155822754": 142, "8392858505249023": 142, "666262626647949": 142, "926984786987305": 142, "3855440616607666": 142, "05933141708374": 142, "822237014770508": 142, "610836029052734": 142, "012061852030456066": 142, "961414337158203": 142, "204820156097412": 142, "5788369178771973": 142, "003742218017578": 142, "623624801635742": 142, "819082736968994": 142, "925905227661133": 142, "239373683929443": 142, "252191543579102": 142, "8641300201416": 142, "627392292022705": 142, "662039756774902": 142, "920696258544922": 142, "220767021179199": 142, "926089763641357": 142, "97602081298828": 142, "46531867980957": 142, "00605023093521595": 142, "888572692871094": 142, "084720134735107": 142, "438761830329895": 142, "806480407714844": 142, "466041564941406": 142, "8351399898529053": 142, "87355613708496": 142, "0738911628723145": 142, "241630554199219": 142, "823143005371094": 142, "466541290283203": 142, "642252445220947": 142, "875558853149414": 142, "083186626434326": 142, "046802043914795": 142, "80746841430664": 142, "274011135101318": 142, "009917204268276691": 142, "437728881835938": 142, "3833541870117188": 142, "14001242816448212": 142, "836400985717773": 142, "4388027787208557": 142, "0668973922729492": 142, "0473971366882324": 142, "033005952835083": 142, "019202709197998": 142, "0060856342315674": 142, "9938549399375916": 142, "9820594191551208": 142, "9706756472587585": 142, "9596825242042542": 142, "9491930603981018": 142, "9390787482261658": 142, "9293482899665833": 142, "919995129108429": 142, "9109228253364563": 142, "9021063446998596": 142, "8934655785560608": 142, "8850347399711609": 142, "8769559264183044": 142, "868845522403717": 142, "8610023856163025": 142, "8533197045326233": 142, "845794141292572": 142, "8384266495704651": 142, "8311933875083923": 142, "8241278529167175": 142, "8171915411949158": 142, "810429036617279": 142, "803737223148346": 142, "7969908118247986": 142, "7905157208442688": 142, "7842329144477844": 142, "7780324816703796": 142, "7719427943229675": 142, "7659698128700256": 142, "7601048350334167": 142, "7543475031852722": 142, "7487364411354065": 142, "7432250380516052": 142, "7377715706825256": 142, "7324373126029968": 142, "7271705269813538": 142, "7219966053962708": 142, "7169061303138733": 142, "7119048237800598": 142, "7069882750511169": 142, "7021510004997253": 142, "6972842812538147": 142, "6923570036888123": 142, "6876530051231384": 142, "6831163763999939": 142, "6786546111106873": 142, "6742613911628723": 142, "6699375510215759": 142, "6657807230949402": 142, "6615889668464661": 142, "6575530171394348": 142, "6534809470176697": 142, "6494815945625305": 142, "6455281376838684": 142, "641596257686615": 142, "637935221195221": 142, "6344640851020813": 142, "6307284235954285": 142, "6269646286964417": 142, "6233318448066711": 142, "6197497248649597": 142, "616149365901947": 142, "6126640439033508": 142, "6090179085731506": 142, "60562664270401": 142, "6022811532020569": 142, "5991306900978088": 142, "5957160592079163": 142, "5913226008415222": 142, "5881579518318176": 142, "5850325226783752": 142, "5819467902183533": 142, "5789029002189636": 142, "5758979916572571": 142, "57293301820755": 142, "5700288414955139": 142, "5670655369758606": 142, "5641401410102844": 142, "5613282322883606": 142, "5585525631904602": 142, "5555135607719421": 142, "5528116822242737": 142, "5501449704170227": 142, "5475159287452698": 142, "5448575615882874": 142, "5422996878623962": 142, "53978031873703": 142, "5372923016548157": 142, "5348405241966248": 142, "5324227213859558": 142, "5300399661064148": 142, "5276910662651062": 142, "5253775715827942": 142, "5230967402458191": 142, "520851194858551": 142, "5186389088630676": 142, "5164602398872375": 142, "5144392848014832": 142, "5123273730278015": 142, "5102488398551941": 142, "5082032084465027": 142, "5061891674995422": 142, "5042098164558411": 142, "5022614598274231": 142, "5003454089164734": 142, "4984608292579651": 142, "49660640954971313": 142, "4947836995124817": 142, "4929932951927185": 142, "4912342429161072": 142, "4895070195198059": 142, "4878094792366028": 142, "48614269495010376": 142, "4845063090324402": 142, "48289960622787476": 142, "4813242554664612": 142, "47977644205093384": 142, "4782959818840027": 142, "4768062233924866": 142, "47534650564193726": 142, "47391360998153687": 142, "4725103974342346": 142, "4711320996284485": 142, "4697827696800232": 142, "4684601426124573": 142, "4671635031700134": 142, "4658929705619812": 142, "4646969437599182": 142, "4634774327278137": 142, "4622806906700134": 142, "46110981702804565": 142, "4599605202674866": 142, "4588330388069153": 142, "4577290415763855": 142, "45664721727371216": 142, "4555860161781311": 142, "4545115828514099": 142, "45349234342575073": 142, "4524938464164734": 142, "45151668787002563": 142, "450558602809906": 142, "4496210217475891": 142, "44870084524154663": 142, "44780057668685913": 142, "4469180703163147": 142, "4460539221763611": 142, "44520801305770874": 142, "444379985332489": 142, "44357043504714966": 142, "44287461042404175": 142, "44210249185562134": 142, "4412899613380432": 142, "4405539631843567": 142, "4398353695869446": 142, "4391341805458069": 142, "43844836950302124": 142, "43778008222579956": 142, "4371275305747986": 142, "43649083375930786": 142, "43586987257003784": 142, "43526381254196167": 142, "43467289209365845": 142, "43409544229507446": 142, "4335325360298157": 142, "43292945623397827": 142, "43239206075668335": 142, "4318675398826599": 142, "4314104914665222": 142, "4309118390083313": 142, "4304249882698059": 142, "42995113134384155": 142, "42948848009109497": 142, "42903751134872437": 142, "4286002516746521": 142, "4281756281852722": 142, "4277629256248474": 142, "42736417055130005": 142, "42697805166244507": 142, "42660683393478394": 142, "42624861001968384": 142, "42590564489364624": 142, "4255771040916443": 142, "4252634644508362": 142, "42532747983932495": 142, "4250486493110657": 142, "4247848391532898": 142, "42453521490097046": 142, "4243009686470032": 142, "4240792393684387": 142, "423872172832489": 142, "42369014024734497": 142, "4236348271369934": 142, "4234691262245178": 142, "42331522703170776": 142, "42317312955856323": 142, "4230425953865051": 142, "4229230284690857": 142, "42281442880630493": 142, "42268139123916626": 142, "42259448766708374": 142, "4225192666053772": 142, "4224533438682556": 142, "42239707708358765": 142, "42235034704208374": 142, "4223126769065857": 142, "4222850203514099": 142, "4222671389579773": 142, "4222568869590759": 142, "42225486040115356": 142, "42226165533065796": 142, "42227703332901": 142, "4223707318305969": 142, "4224540591239929": 142, "4224918484687805": 142, "4225366711616516": 142, "42254704236984253": 142, "4226076006889343": 142, "4226747155189514": 142, "42274874448776245": 142, "42282921075820923": 142, "42291587591171265": 142, "4230087399482727": 142, "4231087565422058": 142, "4232134222984314": 142, "4233247637748718": 142, "4234411120414734": 142, "4235634207725525": 142, "4236915707588196": 142, "42382484674453735": 142, "42396384477615356": 142, "42410892248153687": 142, "42425841093063354": 142, "4244130253791809": 142, "4245726466178894": 142, "42473727464675903": 142, "4249061942100525": 142, "4250796437263489": 142, "4252219796180725": 142, "4254031777381897": 142, "4255889058113098": 142, "42581063508987427": 142, "4260048270225525": 142, "426203191280365": 142, "42640501260757446": 142, "4266090989112854": 142, "42681795358657837": 142, "4270278811454773": 142, "42724162340164185": 142, "42741256952285767": 142, "4276272654533386": 142, "4278443455696106": 142, "42806476354599": 142, "42821604013442993": 142, "4284422993659973": 142, "42867201566696167": 142, "4289014935493469": 142, "4290311932563782": 142, "42926472425460815": 142, "42959970235824585": 142, "42989617586135864": 142, "43012744188308716": 142, "43035727739334106": 142, "4305914044380188": 142, "43144553899765015": 142, "4316769242286682": 142, "43191128969192505": 142, "4321456551551819": 142, "43238121271133423": 142, "4326173663139343": 142, "43285495042800903": 142, "4330926537513733": 142, "4333314299583435": 142, "43356984853744507": 142, "43380898237228394": 142, "43404775857925415": 142, "43428748846054077": 142, "4345272183418274": 142, "43476778268814087": 142, "4350079894065857": 142, "4353681206703186": 142, "43560856580734253": 142, "43584853410720825": 142, "43608909845352173": 142, "4363306164741516": 142, "43657153844833374": 142, "43681174516677856": 142, "4370536208152771": 142, "4372943043708801": 142, "4375355839729309": 142, "4376170039176941": 142, "4378586411476135": 142, "43809884786605835": 142, "4383416771888733": 142, "4385829567909241": 142, "02050350233912468": 142, "00952090136706829": 142, "011049645021557808": 142, "00906189065426588": 142, "02022755704820156": 142, "10315000265836716": 142, "02018100768327713": 142, "012126380577683449": 142, "017303170636296272": 142, "016264624893665314": 142, "006589747034013271": 142, "0875306949019432": 142, "017845535650849342": 142, "03384355083107948": 142, "00833912193775177": 142, "02896575629711151": 142, "007998968474566936": 142, "08215246349573135": 142, "02507072500884533": 142, "005025138147175312": 142, "014824158512055874": 142, "006102666724473238": 142, "18279843032360077": 142, "007002287544310093": 142, "0072091505862772465": 142, "012310805730521679": 142, "02819327637553215": 142, "007449045777320862": 142, "0553642101585865": 142, "05686541274189949": 142, "017285877838730812": 142, "029446186497807503": 142, "004657838959246874": 142, "06033758819103241": 142, "0548275001347065": 142, "09405253827571869": 142, "0037278977688401937": 142, "0010526167461648583": 142, "04732443019747734": 142, "04142638295888901": 142, "022476322948932648": 142, "11535387486219406": 142, "006891984958201647": 142, "012614483945071697": 142, "06207330524921417": 142, "014975911937654018": 142, "006706667132675648": 142, "0848207026720047": 142, "00209765019826591": 142, "0014490648172795773": 142, "05100959539413452": 142, "011511486954987049": 142, "007237220648676157": 142, "10062757879495621": 142, "1167948842048645": 142, "1420293003320694": 142, "05177164450287819": 142, "06101052835583687": 142, "3037254214286804": 142, "008560764603316784": 142, "7848081588745117": 142, "020523404702544212": 142, "938100814819336": 142, "3817814588546753": 142, "2823635339736938": 142, "97869300842285": 142, "781940221786499": 142, "8292477130889893": 142, "958328247070312": 142, "4105013608932495": 142, "401224136352539": 142, "982694625854492": 142, "78564453125": 142, "64162540435791": 142, "93693733215332": 142, "3777095079421997": 142, "073480129241943": 142, "875001907348633": 142, "618987083435059": 142, "001718729268759489": 142, "883337020874023": 142, "233689785003662": 142, "4086614847183228": 142, "83037757873535": 142, "624951362609863": 142, "8262434005737305": 142, "894620895385742": 142, "239602565765381": 142, "250115394592285": 142, "829694747924805": 142, "6190185546875": 142, "655723571777344": 142, "881404876708984": 142, "226573944091797": 142, "0613884925842285": 142, "840715408325195": 142, "45761489868164": 142, "017829986289143562": 142, "92169761657715": 142, "999081134796143": 142, "4100983142852783": 142, "820077896118164": 142, "477958679199219": 142, "8321456909179688": 142, "956680297851562": 142, "006226539611816": 142, "260051250457764": 142, "815532684326172": 142, "46023941040039": 142, "645720958709717": 142, "920442581176758": 142, "008388996124268": 142, "06398344039917": 142, "831729888916016": 142, "3449726104736328": 142, "8240225315093994": 142, "409971237182617": 142, "38767409324645996": 142, "842010259628296": 142, "63562774658203": 142, "4373999238014221": 142, "2467396259307861": 142, "2346436977386475": 142, "2223641872406006": 142, "210460901260376": 142, "1985688209533691": 142, "1870217323303223": 142, "175936222076416": 142, "164900779724121": 142, "1542754173278809": 142, "1441574096679688": 142, "134347677230835": 142, "1246461868286133": 142, "1152899265289307": 142, "1059584617614746": 142, "0970985889434814": 142, "0884943008422852": 142, "0800538063049316": 142, "0717661380767822": 142, "063704252243042": 142, "0556602478027344": 142, "047956943511963": 142, "0402953624725342": 142, "0252745151519775": 142, "0179164409637451": 142, "0106830596923828": 142, "0035653114318848": 142, "9965531229972839": 142, "9896427989006042": 142, "9827356934547424": 142, "9760313630104065": 142, "9694247841835022": 142, "9625280499458313": 142, "9560543894767761": 142, "9497153162956238": 142, "9434675574302673": 142, "9372952580451965": 142, "9312042593955994": 142, "9251915812492371": 142, "9192546010017395": 142, "9122698903083801": 142, "9065011143684387": 142, "9007839560508728": 142, "8951279520988464": 142, "8895402550697327": 142, "8840152621269226": 142, "8784018158912659": 142, "8728983998298645": 142, "8677012324333191": 142, "8624152541160583": 142, "8572544455528259": 142, "851794421672821": 142, "8465974926948547": 142, "8410106301307678": 142, "835969865322113": 142, "8309792876243591": 142, "8260346055030823": 142, "821138322353363": 142, "8162845969200134": 142, "8114727139472961": 142, "8067027926445007": 142, "8019745945930481": 142, "7972850203514099": 142, "7926338315010071": 142, "7880200743675232": 142, "7834433913230896": 142, "7789016366004944": 142, "7743963599205017": 142, "7699273228645325": 142, "7654908299446106": 142, "7610916495323181": 142, "7567248940467834": 142, "7523323893547058": 142, "7480350136756897": 142, "7437719702720642": 142, "7395426630973816": 142, "7350727915763855": 142, "7309148907661438": 142, "7267875075340271": 142, "7226575016975403": 142, "7185940146446228": 142, "7145631909370422": 142, "7105653882026672": 142, "7066014409065247": 142, "7026680111885071": 142, "698765218257904": 142, "6948950886726379": 142, "6910598874092102": 142, "6872532963752747": 142, "6834792494773865": 142, "6797381043434143": 142, "6760280728340149": 142, "6723483204841614": 142, "668698251247406": 142, "6654238104820251": 142, "6616813540458679": 142, "6581206917762756": 142, "6545899510383606": 142, "65108722448349": 142, "647614061832428": 142, "6441705822944641": 142, "6407554745674133": 142, "6373685002326965": 142, "6340118050575256": 142, "6306838393211365": 142, "6273446679115295": 142, "624074399471283": 142, "6208322644233704": 142, "61761873960495": 142, "6142540574073792": 142, "611164391040802": 142, "6080415844917297": 142, "6049472689628601": 142, "6018797755241394": 142, "598843514919281": 142, "5958370566368103": 142, "59285968542099": 142, "5899139046669006": 142, "5869998335838318": 142, "584116518497467": 142, "5812661051750183": 142, "5784493088722229": 142, "5756646990776062": 142, "5729150176048279": 142, "5702008605003357": 142, "5675196051597595": 142, "5650717616081238": 142, "5624597668647766": 142, "5598737597465515": 142, "5573334097862244": 142, "554828941822052": 142, "5523602366447449": 142, "5496763586997986": 142, "5472815632820129": 142, "5448194146156311": 142, "5424944758415222": 142, "5402092337608337": 142, "5379602313041687": 142, "5357468724250793": 142, "5335701107978821": 142, "5317196249961853": 142, "5296074748039246": 142, "5275295376777649": 142, "5254891514778137": 142, "524432361125946": 142, "5224586129188538": 142, "5205171704292297": 142, "5186111330986023": 142, "5167359709739685": 142, "5148938298225403": 142, "5130830407142639": 142, "5113678574562073": 142, "5094771981239319": 142, "5077610611915588": 142, "5060763955116272": 142, "5044193863868713": 142, "50279301404953": 142, "5011950135231018": 142, "49950820207595825": 142, "4978601336479187": 142, "4963446259498596": 142, "4948567748069763": 142, "4933963418006897": 142, "4919610619544983": 142, "49055343866348267": 142, "4891725182533264": 142, "4878159165382385": 142, "4864848256111145": 142, "485179603099823": 142, "48389965295791626": 142, "4826447367668152": 142, "4815114140510559": 142, "4803054928779602": 142, "47921353578567505": 142, "47805970907211304": 142, "47693032026290894": 142, "4758250117301941": 142, "47474199533462524": 142, "47353285551071167": 142, "47249525785446167": 142, "47148197889328003": 142, "4704917073249817": 142, "46952491998672485": 142, "4685822129249573": 142, "4677503705024719": 142, "46695059537887573": 142, "46607154607772827": 142, "4652140736579895": 142, "4643767476081848": 142, "4635609984397888": 142, "46250075101852417": 142, "461728036403656": 142, "4609742760658264": 142, "46024090051651": 142, "4595263600349426": 142, "4588302969932556": 142, "45815402269363403": 142, "4574955105781555": 142, "4568557143211365": 142, "45623356103897095": 142, "45562952756881714": 142, "4550439715385437": 142, "4544757008552551": 142, "4539257884025574": 142, "4533923268318176": 142, "45287543535232544": 142, "45237404108047485": 142, "4518272280693054": 142, "4513574242591858": 142, "4509047865867615": 142, "45046669244766235": 142, "450043261051178": 142, "4496358036994934": 142, "44924265146255493": 142, "44886380434036255": 142, "44849878549575806": 142, "44814687967300415": 142, "4473569989204407": 142, "4470321536064148": 142, "4467197060585022": 142, "4464196562767029": 142, "4461299777030945": 142, "44585150480270386": 142, "4455847144126892": 142, "4453269839286804": 142, "44507986307144165": 142, "4453921914100647": 142, "44516128301620483": 142, "44493919610977173": 142, "4447254538536072": 142, "444519579410553": 142, "4443201422691345": 142, "44393008947372437": 142, "4437435269355774": 142, "44356340169906616": 142, "4433886408805847": 142, "44305557012557983": 142, "44288569688796997": 142, "44273537397384644": 142, "44259005784988403": 142, "44244807958602905": 142, "44231027364730835": 142, "44217735528945923": 142, "4420483708381653": 142, "4419218897819519": 142, "4414152503013611": 142, "4411357045173645": 142, "4410243630409241": 142, "44091659784317017": 142, "4409812092781067": 142, "44077080488204956": 142, "440673291683197": 142, "4405786395072937": 142, "44048672914505005": 142, "44039756059646606": 142, "4403114914894104": 142, "44022828340530396": 142, "4401478171348572": 142, "44006842374801636": 142, "4399920105934143": 142, "4399178624153137": 142, "4398466944694519": 142, "43977731466293335": 142, "4397093653678894": 142, "439643919467926": 142, "4395509362220764": 142, "4394903779029846": 142, "4394305348396301": 142, "4393720030784607": 142, "4393153786659241": 142, "4392607808113098": 142, "4392063021659851": 142, "4391527771949768": 142, "4391013979911804": 142, "43910354375839233": 142, "4391499161720276": 142, "4391016364097595": 142, "43905287981033325": 142, "4390036463737488": 142, "4389553666114807": 142, "4389086365699768": 142, "43886202573776245": 142, "43881577253341675": 142, "43876975774765015": 142, "43872350454330444": 142, "43857890367507935": 142, "4385327696800232": 142, "4384860396385193": 142, "4381186366081238": 142, "4379883408546448": 142, "4379393458366394": 142, "43788963556289673": 142, "4378393292427063": 142, "4377903342247009": 142, "43761688470840454": 142, "43756407499313354": 142, "43751031160354614": 142, "43745630979537964": 142, "04818591848015785": 142, "037585631012916565": 142, "0479901023209095": 142, "059990499168634415": 142, "007514896336942911": 142, "1053677350282669": 142, "029537102207541466": 142, "0036663764622062445": 142, "020950132980942726": 142, "013538322411477566": 142, "11873026937246323": 142, "05381553992629051": 142, "04610413312911987": 142, "012577359564602375": 142, "036761194467544556": 142, "028353407979011536": 142, "03892451524734497": 142, "018835319206118584": 142, "030246052891016006": 142, "0040473854169249535": 142, "03459255024790764": 142, "010688282549381256": 142, "008615346625447273": 142, "04162873700261116": 142, "023185094818472862": 142, "00030374916968867183": 142, "029567457735538483": 142, "0056612566113471985": 142, "004641007632017136": 142, "04742018133401871": 142, "035927899181842804": 142, "012058494612574577": 142, "042744241654872894": 142, "004356694407761097": 142, "0021299428772181273": 142, "049739375710487366": 142, "009163068607449532": 142, "01599986106157303": 142, "009316272102296352": 142, "061037126928567886": 142, "009785878472030163": 142, "08000468462705612": 142, "002401719568297267": 142, "008305907249450684": 142, "009134934283792973": 142, "059977833181619644": 142, "02791297435760498": 142, "09513115882873535": 142, "01383561734110117": 142, "009884052909910679": 142, "02300211787223816": 142, "02029377408325672": 142, "0023885571863502264": 142, "05913737416267395": 142, "1049923375248909": 142, "10177027434110641": 142, "04106462001800537": 142, "01837816648185253": 142, "013087154366075993": 142, "22528399527072906": 142, "845522403717041": 142, "00108914147131145": 142, "924076080322266": 142, "4271905422210693": 142, "4406895637512207": 142, "837444305419922": 142, "8201651573181152": 142, "8399441242218018": 142, "887123107910156": 142, "4242205619812012": 142, "226929664611816": 142, "843748092651367": 142, "8485026359558105": 142, "6737141609191895": 142, "942827224731445": 142, "4551947116851807": 142, "080208778381348": 142, "875818252563477": 142, "659290313720703": 142, "015968630090355873": 142, "964113235473633": 142, "223936080932617": 142, "462436556816101": 142, "81475257873535": 142, "646068572998047": 142, "8365745544433594": 142, "896284103393555": 142, "238297939300537": 142, "226436138153076": 142, "844356536865234": 142, "655038356781006": 142, "674931526184082": 142, "954519271850586": 142, "151586532592773": 142, "0379743576049805": 142, "990530014038086": 142, "471649169921875": 142, "0017105665756389499": 142, "923603057861328": 142, "094717025756836": 142, "47608482837677": 142, "80666160583496": 142, "479484558105469": 142, "8450546264648438": 142, "88345718383789": 142, "0675883293151855": 142, "2286505699157715": 142, "843116760253906": 142, "460658073425293": 142, "679359436035156": 142, "946022033691406": 142, "2438812255859375": 142, "021999835968018": 142, "997730255126953": 142, "72264289855957": 142, "304792881011963": 142, "436786651611328": 142, "758345603942871": 142, "603326320648193": 142, "122411727905273": 142, "48209530115127563": 142, "42683744430542": 142, "4133923053741455": 142, "401859998703003": 142, "3906207084655762": 142, "3797006607055664": 142, "369016408920288": 142, "3588063716888428": 142, "3491380214691162": 142, "339454174041748": 142, "3299870491027832": 142, "3205840587615967": 142, "311516523361206": 142, "3025615215301514": 142, "2937932014465332": 142, "2843916416168213": 142, "2757477760314941": 142, "2672410011291504": 142, "2588627338409424": 142, "2503657341003418": 142, "2420454025268555": 142, "2339167594909668": 142, "2258381843566895": 142, "2179219722747803": 142, "2104556560516357": 142, "2027051448822021": 142, "1950480937957764": 142, "187455415725708": 142, "179936408996582": 142, "172487497329712": 142, "165109634399414": 142, "157829761505127": 142, "1506686210632324": 142, "143601894378662": 142, "1366751194000244": 142, "1298599243164062": 142, "1231536865234375": 142, "116572618484497": 142, "1100740432739258": 142, "1034824848175049": 142, "0972001552581787": 142, "0910096168518066": 142, "084916114807129": 142, "0790555477142334": 142, "0731568336486816": 142, "0674138069152832": 142, "0616769790649414": 142, "056018352508545": 142, "0504367351531982": 142, "044928789138794": 142, "0396099090576172": 142, "034250259399414": 142, "028965950012207": 142, "0238237380981445": 142, "0186948776245117": 142, "013627052307129": 142, "008657455444336": 142, "0037624835968018": 142, "9989373087882996": 142, "994179904460907": 142, "9894135594367981": 142, "9847741723060608": 142, "9801891446113586": 142, "9756544232368469": 142, "9711833596229553": 142, "966743528842926": 142, "9623492360115051": 142, "9579982161521912": 142, "9536904692649841": 142, "9494262337684631": 142, "9452020525932312": 142, "9410203099250793": 142, "9368789792060852": 142, "9327769875526428": 142, "9286896586418152": 142, "9246655106544495": 142, "9207356572151184": 142, "9172651171684265": 142, "9133606553077698": 142, "9094889760017395": 142, "9056561589241028": 142, "9018542170524597": 142, "8980900645256042": 142, "8943579792976379": 142, "8906586766242981": 142, "8832244277000427": 142, "8796200156211853": 142, "8760442137718201": 142, "872469961643219": 142, "8689509034156799": 142, "8654609322547913": 142, "8619984984397888": 142, "858563244342804": 142, "8551552891731262": 142, "8515495657920837": 142, "8477945923805237": 142, "8444622159004211": 142, "8411563038825989": 142, "8378754258155823": 142, "8346183896064758": 142, "8313848376274109": 142, "8281752467155457": 142, "8249637484550476": 142, "8218042254447937": 142, "8186665177345276": 142, "8155524134635925": 142, "8124603629112244": 142, "809386670589447": 142, "8063328862190247": 142, "8032992482185364": 142, "8002833724021912": 142, "7972865700721741": 142, "7943099141120911": 142, "7913501858711243": 142, "7884086966514587": 142, "7853298783302307": 142, "7824228405952454": 142, "7795342803001404": 142, "7766641974449158": 142, "7738111615180969": 142, "7709742188453674": 142, "7681545615196228": 142, "7653511166572571": 142, "7625642418861389": 142, "7597914338111877": 142, "7570356726646423": 142, "7542938590049744": 142, "7515669465065002": 142, "748853862285614": 142, "7461557984352112": 142, "7434728741645813": 142, "740804135799408": 142, "7381482720375061": 142, "7355062365531921": 142, "7328781485557556": 142, "7302643656730652": 142, "7276645302772522": 142, "725060760974884": 142, "7224867939949036": 142, "7187594771385193": 142, "7164430022239685": 142, "7139165997505188": 142, "7114033102989197": 142, "7089046835899353": 142, "706419050693512": 142, "7039481997489929": 142, "7014895081520081": 142, "6990445256233215": 142, "6966132521629333": 142, "6941961646080017": 142, "6919284462928772": 142, "6895361542701721": 142, "6871593594551086": 142, "6847960352897644": 142, "6824429631233215": 142, "6801051497459412": 142, "6778709292411804": 142, "6756146550178528": 142, "673319399356842": 142, "6710373759269714": 142, "6687702536582947": 142, "6665145754814148": 142, "6642736792564392": 142, "6623044610023499": 142, "6600895524024963": 142, "6578864455223083": 142, "6556978821754456": 142, "6535231471061707": 142, "6513627171516418": 142, "6492148041725159": 142, "6475381255149841": 142, "6454164385795593": 142, "6433085799217224": 142, "6411238312721252": 142, "6390466094017029": 142, "6369815468788147": 142, "6349307894706726": 142, "6328943371772766": 142, "6308723092079163": 142, "6288636326789856": 142, "6268689036369324": 142, "624889075756073": 142, "6229223608970642": 142, "6209699511528015": 142, "6190299391746521": 142, "617104709148407": 142, "6151910424232483": 142, "6132920384407043": 142, "6114054322242737": 142, "609391987323761": 142, "6075291037559509": 142, "6056798100471497": 142, "603843629360199": 142, "6020194888114929": 142, "5998160243034363": 142, "5980191826820374": 142, "5962110161781311": 142, "5944388508796692": 142, "592681348323822": 142, "5909368395805359": 142, "5897545218467712": 142, "5880386233329773": 142, "586436927318573": 142, "5847501158714294": 142, "5830783247947693": 142, "5814211964607239": 142, "579781711101532": 142, "5781583189964294": 142, "5765509009361267": 142, "5749606490135193": 142, "5733873248100281": 142, "5718325972557068": 142, "5702947974205017": 142, "5687752366065979": 142, "5672727227210999": 142, "5657889246940613": 142, "5643238425254822": 142, "5628769993782043": 142, "5616485476493835": 142, "5602356791496277": 142, "5588417649269104": 142, "557465136051178": 142, "556107223033905": 142, "5547656416893005": 142, "5534408688545227": 142, "5521323084831238": 142, "5508388876914978": 142, "5495597720146179": 142, "5482974648475647": 142, "5462237000465393": 142, "5449824929237366": 142, "543754518032074": 142, "5425391793251038": 142, "5413351655006409": 142, "5401430726051331": 142, "5389599204063416": 142, "5377877354621887": 142, "5366236567497253": 142, "5354686379432678": 142, "5343219637870789": 142, "5333073735237122": 142, "532175600528717": 142, "5309270024299622": 142, "5298101305961609": 142, "52870112657547": 142, "5275976061820984": 142, "5279298424720764": 142, "5268488526344299": 142, "5257739424705505": 142, "5247059464454651": 142, "5236446261405945": 142, "5225910544395447": 142, "5215442776679993": 142, "5204183459281921": 142, "5193838477134705": 142, "5183561444282532": 142, "5173347592353821": 142, "5162380337715149": 142, "5152272582054138": 142, "5142222046852112": 142, "5132232308387756": 142, "5122310519218445": 142, "5112459063529968": 142, "5102666020393372": 142, "5092934966087341": 142, "5083271861076355": 142, "5077003836631775": 142, "5067968964576721": 142, "5058504939079285": 142, "5049206614494324": 142, "5040066838264465": 142, "5031077265739441": 142, "5021472573280334": 142, "5012779831886292": 142, "500190794467926": 142, "49934953451156616": 142, "4985211491584778": 142, "4977049231529236": 142, "49690109491348267": 142, "4961087107658386": 142, "4953269362449646": 142, "4945560097694397": 142, "493796169757843": 142, "4930463433265686": 142, "49230605363845825": 142, "49146944284439087": 142, "49075084924697876": 142, "49004095792770386": 142, "4893413186073303": 142, "48864954710006714": 142, "4879663586616516": 142, "48722153902053833": 142, "48655587434768677": 142, "4858981966972351": 142, "48524755239486694": 142, "4846037030220032": 142, "48396772146224976": 142, "48333674669265747": 142, "4827132821083069": 142, "0032495942432433367": 142, "007085795979946852": 142, "0176717396825552": 142, "0018620396731421351": 142, "0015593431890010834": 142, "04396764189004898": 142, "006183898542076349": 142, "008266624063253403": 142, "006971415597945452": 142, "0022212208714336157": 142, "00987194012850523": 142, "04010277986526489": 142, "00446482514962554": 142, "010455270297825336": 142, "009670165367424488": 142, "03039834275841713": 142, "002520213834941387": 142, "04379316419363022": 142, "0013435084838420153": 142, "009029099717736244": 142, "008637101389467716": 142, "02228378877043724": 142, "03294524550437927": 142, "05969828739762306": 142, "007765968795865774": 142, "009921194985508919": 142, "012535838410258293": 142, "00029885632102377713": 142, "00170806678943336": 142, "039774149656295776": 142, "0023044045083224773": 142, "0061993906274437904": 142, "004249917343258858": 142, "01805955171585083": 142, "028990991413593292": 142, "026371628046035767": 142, "004839387722313404": 142, "012111355550587177": 142, "020450610667467117": 142, "028908370062708855": 142, "07966918498277664": 142, "0859866663813591": 142, "007618652191013098": 142, "020125260576605797": 142, "019157059490680695": 142, "01078040711581707": 142, "0017441539093852043": 142, "04218961298465729": 142, "03638160228729248": 142, "0368376225233078": 142, "03367137536406517": 142, "1252010613679886": 142, "010832803323864937": 142, "011012488044798374": 142, "02291242592036724": 142, "03102511540055275": 142, "11959495395421982": 142, "08834557235240936": 142, "1110488697886467": 142, "23573929071426392": 142, "820035934448242": 142, "0031289481557905674": 142, "889360427856445": 142, "4076918363571167": 142, "3883130550384521": 142, "827922821044922": 142, "7939696311950684": 142, "849229574203491": 142, "96061134338379": 142, "3580684661865234": 142, "412956714630127": 142, "220333099365234": 142, "789661407470703": 142, "6092987060546875": 142, "956993103027344": 142, "400362491607666": 142, "104848384857178": 142, "844036102294922": 142, "640300273895264": 142, "0014073150232434273": 142, "87995147705078": 142, "239928722381592": 142, "4012113809585571": 142, "815824508666992": 142, "64577579498291": 142, "8261446952819824": 142, "896223068237305": 142, "2538371086120605": 142, "236841201782227": 142, "83197593688965": 142, "641713619232178": 142, "642673492431641": 142, "89048957824707": 142, "241151809692383": 142, "062590599060059": 142, "81929588317871": 142, "460484504699707": 142, "0007102331146597862": 142, "88519287109375": 142, "046214580535889": 142, "4064394235610962": 142, "81515121459961": 142, "500445365905762": 142, "8555667400360107": 142, "95968246459961": 142, "045510768890381": 142, "244142532348633": 142, "839441299438477": 142, "495448112487793": 142, "614114284515381": 142, "949918746948242": 142, "034165382385254": 142, "070328712463379": 142, "818561553955078": 142, "595370888710022": 142, "085577964782715": 142, "16380500793457": 142, "7237128615379333": 142, "0989813804626465": 142, "614171981811523": 142, "9055532813072205": 142, "1784307956695557": 142, "166597843170166": 142, "1563434600830078": 142, "1458125114440918": 142, "1357898712158203": 142, "1257867813110352": 142, "1158146858215332": 142, "105832576751709": 142, "0959281921386719": 142, "0861237049102783": 142, "0762584209442139": 142, "0664916038513184": 142, "056750774383545": 142, "0471537113189697": 142, "0379981994628906": 142, "0287408828735352": 142, "019507884979248": 142, "0107676982879639": 142, "0026600360870361": 142, "9949957728385925": 142, "9877846837043762": 142, "9807204604148865": 142, "9742129445075989": 142, "9680178761482239": 142, "9620916247367859": 142, "9564628005027771": 142, "9510875344276428": 142, "9458652138710022": 142, "9409458041191101": 142, "9362354874610901": 142, "9317427277565002": 142, "9271976351737976": 142, "9230538010597229": 142, "919799268245697": 142, "9159278273582458": 142, "9122629761695862": 142, "9087579846382141": 142, "9054005742073059": 142, "9021880030632019": 142, "8991087079048157": 142, "8961713910102844": 142, "8933678269386292": 142, "8906707167625427": 142, "8881004452705383": 142, "8856684565544128": 142, "8834325671195984": 142, "8813666701316833": 142, "8794878125190735": 142, "8777828812599182": 142, "8762286305427551": 142, "8748529553413391": 142, "8735076785087585": 142, "872232973575592": 142, "871025025844574": 142, "8698909878730774": 142, "8690025210380554": 142, "8680502772331238": 142, "8672111630439758": 142, "866497814655304": 142, "865958034992218": 142, "865528404712677": 142, "8652946352958679": 142, "8651542067527771": 142, "8650559782981873": 142, "8651667237281799": 142, "8653910756111145": 142, "8657181859016418": 142, "8661405444145203": 142, "8666481375694275": 142, "8671360611915588": 142, "8677951693534851": 142, "8685209155082703": 142, "869310200214386": 142, "8700965046882629": 142, "871000349521637": 142, "8718579411506653": 142, "8728646636009216": 142, "8739197850227356": 142, "8750266432762146": 142, "8761206269264221": 142, "877318799495697": 142, "8785598874092102": 142, "8798437714576721": 142, "8812771439552307": 142, "8826711773872375": 142, "8840945363044739": 142, "885520875453949": 142, "8871322274208069": 142, "8886155486106873": 142, "8901260495185852": 142, "8914110064506531": 142, "8929635882377625": 142, "8945346474647522": 142, "8936635851860046": 142, "8952363133430481": 142, "8968499302864075": 142, "8984540104866028": 142, "9000862240791321": 142, "9017224907875061": 142, "9033635258674622": 142, "9050044417381287": 142, "9066446423530579": 142, "908277690410614": 142, "9099038243293762": 142, "9115213751792908": 142, "9129926562309265": 142, "9145883917808533": 142, "916170060634613": 142, "9177382588386536": 142, "9192940592765808": 142, "9206966757774353": 142, "9222239851951599": 142, "9237380623817444": 142, "925187885761261": 142, "9266802668571472": 142, "9281635880470276": 142, "9296398758888245": 142, "9311046004295349": 142, "9325581192970276": 142, "9339984059333801": 142, "9354262948036194": 142, "936839759349823": 142, "9382390379905701": 142, "9396238923072815": 142, "9409928917884827": 142, "9423454403877258": 142, "9436795115470886": 142, "9449993968009949": 142, "9463004469871521": 142, "9475832581520081": 142, "9488478302955627": 142, "9500933289527893": 142, "9513210654258728": 142, "9525294899940491": 142, "9537191987037659": 142, "9548889994621277": 142, "9560384154319763": 142, "9571661353111267": 142, "958271324634552": 142, "9593538641929626": 142, "9604124426841736": 142, "9614469408988953": 142, "9624583125114441": 142, "963446319103241": 142, "9644085764884949": 142, "9653446078300476": 142, "9662544131278992": 142, "9671375155448914": 142, "9679918885231018": 142, "9688181281089783": 142, "9696162343025208": 142, "9703831076622009": 142, "9711206555366516": 142, "9718316197395325": 142, "9725139737129211": 142, "9731671214103699": 142, "9737939238548279": 142, "9743371605873108": 142, "9748042225837708": 142, "9753499627113342": 142, "9758663773536682": 142, "9746575951576233": 142, "9751169085502625": 142, "9755457043647766": 142, "9759505391120911": 142, "9763246178627014": 142, "9766718745231628": 142, "9769936203956604": 142, "9772894978523254": 142, "9794567227363586": 142, "9797099232673645": 142, "9799955487251282": 142, "9801912903785706": 142, "9801285862922668": 142, "9802688956260681": 142, "9803857207298279": 142, "9804738163948059": 142, "9802401661872864": 142, "9802588820457458": 142, "9802723526954651": 142, "9802603125572205": 142, "980227530002594": 142, "9801653027534485": 142, "9800828099250793": 142, "9799752831459045": 142, "9798418879508972": 142, "9796860814094543": 142, "9795060753822327": 142, "9793010354042053": 142, "9790733456611633": 142, "9788220524787903": 142, "9785489439964294": 142, "9782518744468689": 142, "9779350161552429": 142, "9775968194007874": 142, "9772343039512634": 142, "9768542647361755": 142, "9755551218986511": 142, "9751234650611877": 142, "9746729731559753": 142, "9742022156715393": 142, "9738137125968933": 142, "9732958674430847": 142, "9727603793144226": 142, "9722055792808533": 142, "9716354012489319": 142, "9710481762886047": 142, "9701666235923767": 142, "9695475697517395": 142, "9688233733177185": 142, "9681691527366638": 142, "9675011038780212": 142, "9666340947151184": 142, "965933620929718": 142, "9652125239372253": 142, "9658622145652771": 142, "9651069045066833": 142, "96434086561203": 142, "9635643362998962": 142, "9627789855003357": 142, "961983859539032": 142, "9612069725990295": 142, "9603949189186096": 142, "959571897983551": 142, "9587441086769104": 142, "9579116702079773": 142, "9570730328559875": 142, "956227719783783": 142, "9548224806785583": 142, "953969419002533": 142, "9531148076057434": 142, "9522556662559509": 142, "9513928294181824": 142, "9505278468132019": 142, "9496623873710632": 142, "9487935900688171": 142, "947881281375885": 142, "9470153450965881": 142, "9461484551429749": 142, "9452791810035706": 142, "9444130063056946": 142, "9436212182044983": 142, "9427569508552551": 142, "9418933987617493": 142, "9412493109703064": 142, "9403918385505676": 142, "9395371079444885": 142, "9402872920036316": 142, "9394199252128601": 142, "9385570883750916": 142, "937439501285553": 142, "9365894198417664": 142, "9357468485832214": 142, "9349060654640198": 142, "934073269367218": 142, "9332435727119446": 142, "9324199557304382": 142, "9316011071205139": 142, "9307869076728821": 142, "9299793839454651": 142, "9291792511940002": 142, "9283859133720398": 142, "927600085735321": 142, "9268211722373962": 142, "9260517954826355": 142, "9252890944480896": 142, "9242536425590515": 142, "9235703349113464": 142, "923008382320404": 142, "9222878813743591": 142, "9211289286613464": 142, "9204303622245789": 142, "9197402596473694": 142, "9190614819526672": 142, "9183942675590515": 142, "9177389740943909": 142, "9170958399772644": 142, "9164636731147766": 142, "9158459305763245": 142, "915240466594696": 142, "9144909977912903": 142, "9139119982719421": 142, "9133467078208923": 142, "9127948880195618": 142, "9122582077980042": 142, "911735475063324": 142, "911228358745575": 142, "9107326865196228": 142, "910252034664154": 142, "9097841382026672": 142, "9093311429023743": 142, "9088907837867737": 142, "9084646105766296": 142, "9080521464347839": 142, "9076523184776306": 142, "9072651267051697": 142, "9068921208381653": 142, "9065309166908264": 142, "9058912396430969": 142, "002262884983792901": 142, "013238577172160149": 142, "055055808275938034": 142, "002086697146296501": 142, "02562887966632843": 142, "07260267436504364": 142, "014495911076664925": 142, "0041197435930371284": 142, "008622639812529087": 142, "022787561640143394": 142, "12499328702688217": 142, "11530991643667221": 142, "01894783414900303": 142, "02955814078450203": 142, "013292212039232254": 142, "0082740169018507": 142, "011680577881634235": 142, "06497027724981308": 142, "0020004811231046915": 142, "0032613479997962713": 142, "06424929201602936": 142, "005465569905936718": 142, "016946805641055107": 142, "08828030526638031": 142, "0005750536802224815": 142, "002574729034677148": 142, "04843871667981148": 142, "012502720579504967": 142, "009305260144174099": 142, "05549057945609093": 142, "008068441413342953": 142, "008940255269408226": 142, "05117051675915718": 142, "0038580598775297403": 142, "006606875918805599": 142, "08588550984859467": 142, "0019247765885666013": 142, "005004435312002897": 142, "0585065521299839": 142, "0002484204014763236": 142, "007090702187269926": 142, "09757662564516068": 142, "01867281086742878": 142, "008489128202199936": 142, "024276308715343475": 142, "01805887185037136": 142, "002993266563862562": 142, "07632870227098465": 142, "007074844092130661": 142, "011863780207931995": 142, "036493442952632904": 142, "008980580605566502": 142, "0013459320180118084": 142, "09540144354104996": 142, "015925420448184013": 142, "061793021857738495": 142, "11837487667798996": 142, "003472003387287259": 142, "04267293959856033": 142, "15978370606899261": 142, "836712598800659": 142, "02924933284521103": 142, "962583541870117": 142, "297355055809021": 142, "4368973970413208": 142, "981855392456055": 142, "8380818367004395": 142, "7913191318511963": 142, "95497703552246": 142, "4217091798782349": 142, "258224010467529": 142, "825733184814453": 142, "8292529582977295": 142, "639496803283691": 142, "88990020751953": 142, "4102017879486084": 142, "023437976837158": 142, "81258773803711": 142, "645898342132568": 142, "01491723582148552": 142, "92605972290039": 142, "416715145111084": 142, "425602912902832": 142, "998273849487305": 142, "650154113769531": 142, "800182819366455": 142, "924297332763672": 142, "264163017272949": 142, "24914026260376": 142, "818655014038086": 142, "658240795135498": 142, "638559341430664": 142, "876035690307617": 142, "2634100914001465": 142, "016702175140381": 142, "810575485229492": 142, "489710807800293": 142, "014141798950731754": 142, "923974990844727": 142, "087284564971924": 142, "4016706943511963": 142, "865880966186523": 142, "491983413696289": 142, "80352520942688": 142, "927600860595703": 142, "07250452041626": 142, "249230861663818": 142, "827167510986328": 142, "4659423828125": 142, "638925075531006": 142, "877952575683594": 142, "068236351013184": 142, "031197547912598": 142, "826215744018555": 142, "8352904319763184": 142, "3529385328292847": 142, "425992965698242": 142, "7573604583740234": 142, "2265028953552246": 142, "867063522338867": 142, "4271854758262634": 142, "0012340545654297": 142, "9864712357521057": 142, "973646342754364": 142, "9613030552864075": 142, "9498451352119446": 142, "9390707612037659": 142, "9289029240608215": 142, "9198852181434631": 142, "9107617735862732": 142, "9018332362174988": 142, "893116295337677": 142, "88479083776474": 142, "8763883709907532": 142, "8685236573219299": 142, "8608223795890808": 142, "8533102869987488": 142, "8459734320640564": 142, "8387684226036072": 142, "8317896723747253": 142, "8247987627983093": 142, "8181368708610535": 142, "8115194439888": 142, "8050338625907898": 142, "7986804842948914": 142, "7924773097038269": 142, "7863799929618835": 142, "7805183529853821": 142, "7746606469154358": 142, "7689260840415955": 142, "7632619738578796": 142, "7577455639839172": 142, "7523590922355652": 142, "7469690442085266": 142, "7417297959327698": 142, "7364987730979919": 142, "7314996123313904": 142, "726580798625946": 142, "7217673659324646": 142, "7170014977455139": 142, "7123722434043884": 142, "707833468914032": 142, "7033829092979431": 142, "699016273021698": 142, "6947326064109802": 142, "6905292868614197": 142, "6863887906074524": 142, "6823440194129944": 142, "6783758997917175": 142, "6744419932365417": 142, "6706201434135437": 142, "6668702960014343": 142, "6631918549537659": 142, "6595842242240906": 142, "6560453772544861": 142, "6525714993476868": 142, "6491659283638": 142, "6458227038383484": 142, "6425426602363586": 142, "6393186450004578": 142, "6361743807792664": 142, "6330370306968689": 142, "6299872994422913": 142, "6269882321357727": 142, "6239587664604187": 142, "6210588812828064": 142, "6182926297187805": 142, "6154891848564148": 142, "6127318739891052": 142, "6100451350212097": 142, "6047468781471252": 142, "6021464467048645": 142, "5996015667915344": 142, "5970974564552307": 142, "5946314930915833": 142, "5920807719230652": 142, "5896937251091003": 142, "5873650908470154": 142, "5850562453269958": 142, "5827829241752625": 142, "5805453658103943": 142, "5782020688056946": 142, "5760408043861389": 142, "5739142298698425": 142, "5718212723731995": 142, "5697608590126038": 142, "5677347779273987": 142, "5657402873039246": 142, "5638979077339172": 142, "5619668364524841": 142, "5600661635398865": 142, "5581974387168884": 142, "5565170645713806": 142, "5547067523002625": 142, "5529261231422424": 142, "551173746585846": 142, "5494484305381775": 142, "5476822257041931": 142, "5460125803947449": 142, "5443690419197083": 142, "542752206325531": 142, "5411600470542908": 142, "5395929217338562": 142, "5380502343177795": 142, "5365317463874817": 142, "5350374579429626": 142, "5335654616355896": 142, "5321155190467834": 142, "5306863188743591": 142, "5292782187461853": 142, "5276314616203308": 142, "5264591574668884": 142, "5251091122627258": 142, "5237776637077332": 142, "5223321318626404": 142, "5210908055305481": 142, "5198153853416443": 142, "5184004902839661": 142, "5171634554862976": 142, "5159448981285095": 142, "5147445797920227": 142, "5135337710380554": 142, "5124823451042175": 142, "5111530423164368": 142, "5100223422050476": 142, "5089059472084045": 142, "5078063607215881": 142, "5067220330238342": 142, "5056530833244324": 142, "5045976042747498": 142, "5035571455955505": 142, "502531111240387": 142, "5015204548835754": 142, "5005225539207458": 142, "49953871965408325": 142, "4985674023628235": 142, "497575581073761": 142, "4967884421348572": 142, "4958515763282776": 142, "49492543935775757": 142, "49401146173477173": 142, "4931095242500305": 142, "49221736192703247": 142, "49133676290512085": 142, "4904657006263733": 142, "48960453271865845": 142, "4887527823448181": 142, "4879111647605896": 142, "4870777726173401": 142, "48615580797195435": 142, "4853408932685852": 142, "48453444242477417": 142, "48373693227767944": 142, "4829476475715637": 142, "4821656346321106": 142, "48138195276260376": 142, "48061639070510864": 142, "47985774278640747": 142, "4791080355644226": 142, "4783661961555481": 142, "47763174772262573": 142, "47690528631210327": 142, "47618621587753296": 142, "47547441720962524": 142, "47477012872695923": 142, "4741310477256775": 142, "4734416604042053": 142, "4727594256401062": 142, "47239452600479126": 142, "47172874212265015": 142, "4710683226585388": 142, "47041600942611694": 142, "46976977586746216": 142, "46913033723831177": 142, "46849769353866577": 142, "4678700566291809": 142, "46725016832351685": 142, "4666367173194885": 142, "46602803468704224": 142, "4654260277748108": 142, "46483081579208374": 142, "4642407298088074": 142, "46365445852279663": 142, "46307724714279175": 142, "4625038504600525": 142, "4619106650352478": 142, "4607885479927063": 142, "4602348208427429": 142, "4596865773200989": 142, "4591417908668518": 142, "4586029648780823": 142, "45807188749313354": 142, "457541286945343": 142, "45708245038986206": 142, "45656007528305054": 142, "45604127645492554": 142, "4555298686027527": 142, "45502179861068726": 142, "45451754331588745": 142, "4540179371833801": 142, "4535215497016907": 142, "45302850008010864": 142, "45254021883010864": 142, "45205575227737427": 142, "4515755772590637": 142, "4510989785194397": 142, "4506269097328186": 142, "4500907063484192": 142, "44962841272354126": 142, "44917064905166626": 142, "4487146735191345": 142, "4482634663581848": 142, "4478148818016052": 142, "4473695158958435": 142, "4469277262687683": 142, "4464341998100281": 142, "4461461901664734": 142, "4457600712776184": 142, "44532984495162964": 142, "44490891695022583": 142, "4444642663002014": 142, "4440482258796692": 142, "44363874197006226": 142, "4432297348976135": 142, "44282859563827515": 142, "4424319863319397": 142, "4420354962348938": 142, "4416491389274597": 142, "4415828585624695": 142, "44120174646377563": 142, "4408262372016907": 142, "4404603838920593": 142, "4400915503501892": 142, "4397314190864563": 142, "43937426805496216": 142, "4390198588371277": 142, "4386681914329529": 142, "4383203387260437": 142, "4379790425300598": 142, "4376404881477356": 142, "43730705976486206": 142, "43697839975357056": 142, "4364141821861267": 142, "4360961318016052": 142, "4357767701148987": 142, "4354686141014099": 142, "4351658225059509": 142, "4348680377006531": 142, "43457382917404175": 142, "43428367376327515": 142, "43400007486343384": 142, "43372005224227905": 142, "4334443211555481": 142, "43332725763320923": 142, "4330609440803528": 142, "4328003525733948": 142, "43254369497299194": 142, "43229252099990845": 142, "4320456385612488": 142, "4318036437034607": 142, "431566059589386": 142, "43133479356765747": 142, "43110793828964233": 142, "4308856129646301": 142, "4306800961494446": 142, "4304700493812561": 142, "43026477098464966": 142, "43041592836380005": 142, "4302230477333069": 142, "4298585057258606": 142, "42967885732650757": 142, "429503858089447": 142, "4293345808982849": 142, "42917078733444214": 142, "429013192653656": 142, "4288601279258728": 142, "42871350049972534": 142, "42882293462753296": 142, "42868751287460327": 142, "4285581707954407": 142, "4284340739250183": 142, "4283168911933899": 142, "42820602655410767": 142, "42810148000717163": 142, "4278925061225891": 142, "4278021454811096": 142, "427717387676239": 142, "4276391863822937": 142, "42756563425064087": 142, "4274980425834656": 142, "427459180355072": 142, "42739444971084595": 142, "4273480772972107": 142, "427306592464447": 142, "4272703528404236": 142, "42724066972732544": 142, "4272168278694153": 142, "4271978735923767": 142, "004389921668916941": 142, "024349110201001167": 142, "012455065734684467": 142, "021713197231292725": 142, "055300768464803696": 142, "10668587684631348": 142, "009664456360042095": 142, "024705253541469574": 142, "012020418420433998": 142, "006999207194894552": 142, "026233550161123276": 142, "0730847418308258": 142, "0015267267590388656": 142, "0012923497706651688": 142, "04584381356835365": 142, "001384977949783206": 142, "010704115964472294": 142, "07990054041147232": 142, "009634166955947876": 142, "006759589537978172": 142, "02194976434111595": 142, "17224498093128204": 142, "019732972607016563": 142, "017614271491765976": 142, "008361689746379852": 142, "01663743332028389": 142, "018871784210205078": 142, "01898398995399475": 142, "007653268054127693": 142, "0897943452000618": 142, "011958141811192036": 142, "0035893821623176336": 142, "05207836627960205": 142, "01683662459254265": 142, "03750267252326012": 142, "09388089179992676": 142, "03056306578218937": 142, "01779877580702305": 142, "0004417934687808156": 142, "06153972074389458": 142, "004490503575652838": 142, "0498843789100647": 142, "028765728697180748": 142, "012574919499456882": 142, "0007436989108100533": 142, "006322408095002174": 142, "012934005819261074": 142, "0752134844660759": 142, "0022989721037447453": 142, "0009466667543165386": 142, "04705732315778732": 142, "008337828330695629": 142, "012241672724485397": 142, "07795294374227524": 142, "0795854851603508": 142, "023903172463178635": 142, "1086447611451149": 142, "1881728172302246": 142, "017740260809659958": 142, "006051798351109028": 142, "852497100830078": 142, "0028972614090889692": 142, "959064483642578": 142, "409723162651062": 142, "4135479927062988": 142, "859121322631836": 142, "866847038269043": 142, "803765058517456": 142, "969627380371094": 142, "4101849794387817": 142, "23604154586792": 142, "859140396118164": 142, "8688018321990967": 142, "67029333114624": 142, "972455978393555": 142, "4113597869873047": 142, "0566840171813965": 142, "857959747314453": 142, "635736465454102": 142, "003516806522384286": 142, "954612731933594": 142, "253595352172852": 142, "5263774394989014": 142, "000093460083008": 142, "651457786560059": 142, "8200151920318604": 142, "92359161376953": 142, "263175010681152": 142, "241097450256348": 142, "888412475585938": 142, "650054454803467": 142, "648752689361572": 142, "922025680541992": 142, "261434078216553": 142, "953575611114502": 142, "001697540283203": 142, "483309745788574": 142, "000618482066784054": 142, "901952743530273": 142, "1243743896484375": 142, "4326211214065552": 142, "82511329650879": 142, "491599082946777": 142, "829721212387085": 142, "896724700927734": 142, "082249164581299": 142, "231503486633301": 142, "85004234313965": 142, "495704650878906": 142, "630105018615723": 142, "893033981323242": 142, "121507167816162": 142, "022576808929443": 142, "815826416015625": 142, "559321880340576": 142, "026617420837283134": 142, "486928939819336": 142, "53813362121582": 142, "036271605640649796": 142, "652362823486328": 142, "4731988310813904": 142, "8347034454345703": 142, "8217458724975586": 142, "8112292289733887": 142, "8007702827453613": 142, "7899596691131592": 142, "7799224853515625": 142, "7693228721618652": 142, "759145736694336": 142, "7496471405029297": 142, "7408649921417236": 142, "732778549194336": 142, "7245683670043945": 142, "7172448635101318": 142, "7102546691894531": 142, "7035009860992432": 142, "6969401836395264": 142, "690528392791748": 142, "6842408180236816": 142, "6780593395233154": 142, "6719729900360107": 142, "6659646034240723": 142, "6600306034088135": 142, "6541635990142822": 142, "6483662128448486": 142, "6426215171813965": 142, "6369307041168213": 142, "6313951015472412": 142, "6257967948913574": 142, "6202383041381836": 142, "6147162914276123": 142, "6093933582305908": 142, "60392427444458": 142, "5984840393066406": 142, "5930633544921875": 142, "587662935256958": 142, "5822803974151611": 142, "5769097805023193": 142, "5715546607971191": 142, "5662083625793457": 142, "560873031616211": 142, "5555429458618164": 142, "5502231121063232": 142, "544903039932251": 142, "5395872592926025": 142, "5342726707458496": 142, "5286152362823486": 142, "5232958793640137": 142, "517979383468628": 142, "5126614570617676": 142, "5073413848876953": 142, "502072811126709": 142, "4968535900115967": 142, "4915473461151123": 142, "486257553100586": 142, "4809787273406982": 142, "4755597114562988": 142, "4703092575073242": 142, "464975357055664": 142, "459585189819336": 142, "4543254375457764": 142, "4490606784820557": 142, "44378662109375": 142, "4385004043579102": 142, "4332084655761719": 142, "4279062747955322": 142, "4225468635559082": 142, "417280673980713": 142, "4119534492492676": 142, "4066228866577148": 142, "4012866020202637": 142, "395946979522705": 142, "3906011581420898": 142, "3852524757385254": 142, "379896640777588": 142, "3745396137237549": 142, "3691787719726562": 142, "363809585571289": 142, "3584346771240234": 142, "3530561923980713": 142, "347670316696167": 142, "3422749042510986": 142, "3368782997131348": 142, "3314692974090576": 142, "3260507583618164": 142, "3206262588500977": 142, "3150241374969482": 142, "3095803260803223": 142, "3041269779205322": 142, "2985515594482422": 142, "2930810451507568": 142, "2876043319702148": 142, "2820210456848145": 142, "2765328884124756": 142, "2710344791412354": 142, "265533685684204": 142, "260023593902588": 142, "2545111179351807": 142, "2489972114562988": 142, "2434778213500977": 142, "2378649711608887": 142, "2323429584503174": 142, "2268214225769043": 142, "2212982177734375": 142, "2156732082366943": 142, "210148572921753": 142, "204624891281128": 142, "198894739151001": 142, "1933748722076416": 142, "1878547668457031": 142, "1823360919952393": 142, "1768207550048828": 142, "1713104248046875": 142, "165801763534546": 142, "1602978706359863": 142, "1547973155975342": 142, "1492109298706055": 142, "1437220573425293": 142, "1382379531860352": 142, "1327588558197021": 142, "127288579940796": 142, "1218249797821045": 142, "116368055343628": 142, "1106908321380615": 142, "1052477359771729": 142, "0998122692108154": 142, "0943832397460938": 142, "0889625549316406": 142, "0835497379302979": 142, "0726511478424072": 142, "0672614574432373": 142, "0618810653686523": 142, "0565097332000732": 142, "051145076751709": 142, "0457918643951416": 142, "040273666381836": 142, "0349340438842773": 142, "0297367572784424": 142, "0244157314300537": 142, "0191028118133545": 142, "0137982368469238": 142, "0085020065307617": 142, "0031681060791016": 142, "9978883862495422": 142, "9926182627677917": 142, "9873570799827576": 142, "9820762276649475": 142, "9768332839012146": 142, "9715996384620667": 142, "9663733839988708": 142, "9611555933952332": 142, "955950915813446": 142, "9507527947425842": 142, "9455661177635193": 142, "9403892159461975": 142, "9352222084999084": 142, "9300671219825745": 142, "9249212145805359": 142, "9197836518287659": 142, "9146575331687927": 142, "9095452427864075": 142, "9044439196586609": 142, "8993554711341858": 142, "8942781090736389": 142, "8892155289649963": 142, "8841649889945984": 142, "8791292309761047": 142, "8741087317466736": 142, "8691021800041199": 142, "8641125559806824": 142, "8591377139091492": 142, "8541783690452576": 142, "8492361903190613": 142, "8443133234977722": 142, "8394097685813904": 142, "8345248103141785": 142, "8296592831611633": 142, "8248148560523987": 142, "8199934363365173": 142, "8151953816413879": 142, "8095956444740295": 142, "8048399090766907": 142, "8008310198783875": 142, "7961228489875793": 142, "7914397120475769": 142, "7867832779884338": 142, "7821529507637024": 142, "7775493264198303": 142, "7730651497840881": 142, "768517792224884": 142, "7639986872673035": 142, "7595065236091614": 142, "7550449967384338": 142, "7506096959114075": 142, "7462040781974792": 142, "7418248057365417": 142, "7374756932258606": 142, "7328280806541443": 142, "7285334467887878": 142, "724378764629364": 142, "7201429009437561": 142, "7159363627433777": 142, "7117593884468079": 142, "7076135277748108": 142, "7034628987312317": 142, "699370801448822": 142, "6953079104423523": 142, "6912755370140076": 142, "6872742772102356": 142, "6833013892173767": 142, "6794256567955017": 142, "6755385994911194": 142, "6716931462287903": 142, "6679114699363708": 142, "66414874792099": 142, "6604275107383728": 142, "6567471623420715": 142, "6531092524528503": 142, "6495105624198914": 142, "6459534764289856": 142, "6424375176429749": 142, "6389612555503845": 142, "6355248093605042": 142, "6321273446083069": 142, "6290251612663269": 142, "6257057785987854": 142, "6224368214607239": 142, "6191917061805725": 142, "6159873604774475": 142, "6128237843513489": 142, "6092997193336487": 142, "6062139868736267": 142, "6031689047813416": 142, "6001628041267395": 142, "5971964001655579": 142, "5942676663398743": 142, "5909757018089294": 142, "5881548523902893": 142, "5853680968284607": 142, "5826242566108704": 142, "5799328684806824": 142, "5772761702537537": 142, "5746545195579529": 142, "5720682740211487": 142, "569516122341156": 142, "5669974684715271": 142, "564512312412262": 142, "5620765089988708": 142, "5596573948860168": 142, "557271420955658": 142, "5549158453941345": 142, "5523104071617126": 142, "5498730540275574": 142, "5476076006889343": 142, "5453721880912781": 142, "5431689620018005": 142, "5412574410438538": 142, "5393961071968079": 142, "5372801423072815": 142, "5351937413215637": 142, "5331372618675232": 142, "5311092734336853": 142, "529108464717865": 142, "5271374583244324": 142, "525195300579071": 142, "5232797265052795": 142, "5213941931724548": 142, "519534170627594": 142, "517943799495697": 142, "5161409974098206": 142, "5143229365348816": 142, "5123115181922913": 142, "510590136051178": 142, "5089208483695984": 142, "5072534680366516": 142, "5056151747703552": 142, "5037743449211121": 142, "5021880269050598": 142, "5006276965141296": 142, "4990929961204529": 142, "4975767731666565": 142, "4960903525352478": 142, "49447160959243774": 142, "49303334951400757": 142, "49162226915359497": 142, "490234911441803": 142, "48870140314102173": 142, "48736125230789185": 142, "4860965609550476": 142, "48483210802078247": 142, "4835658669471741": 142, "48232322931289673": 142, "4813808798789978": 142, "4801807999610901": 142, "47900062799453735": 142, "47784072160720825": 142, "4767025113105774": 142, "4753742814064026": 142, "4742758870124817": 142, "023544397205114365": 142, "0026280214078724384": 142, "010413803160190582": 142, "022913288325071335": 142, "012361411936581135": 142, "009817625395953655": 142, "026868928223848343": 142, "027655059471726418": 142, "061200886964797974": 142, "014482053928077221": 142, "0026245363987982273": 142, "019886448979377747": 142, "028278300538659096": 142, "037965722382068634": 142, "06939352303743362": 142, "010802465490996838": 142, "01023548748344183": 142, "012028018943965435": 142, "012030299752950668": 142, "0011056038783863187": 142, "019364209845662117": 142, "044679686427116394": 142, "1102503165602684": 142, "07173380255699158": 142, "011899277567863464": 142, "021682828664779663": 142, "014995922334492207": 142, "007383205462247133": 142, "03279135748744011": 142, "03040049970149994": 142, "0001311453670496121": 142, "002143396995961666": 142, "004649112466722727": 142, "015498736873269081": 142, "03857540711760521": 142, "03778385743498802": 142, "0013557432685047388": 142, "004004834219813347": 142, "008524009957909584": 142, "09032987803220749": 142, "0353873111307621": 142, "04059149697422981": 142, "006794055458158255": 142, "00439749751240015": 142, "03046051785349846": 142, "02476385608315468": 142, "004913355689495802": 142, "006924644578248262": 142, "007557972799986601": 142, "01171887293457985": 142, "012777473777532578": 142, "07089222967624664": 142, "06050402298569679": 142, "07489278167486191": 142, "06951427459716797": 142, "10205558687448502": 142, "09910160303115845": 142, "32497599720954895": 142, "04041529819369316": 142, "08569325506687164": 142, "8334598541259766": 142, "0091481264680624": 142, "93243980407715": 142, "3757195472717285": 142, "396576166152954": 142, "824979782104492": 142, "840745687484741": 142, "8198959827423096": 142, "959562301635742": 142, "3668287992477417": 142, "241539478302002": 142, "830411911010742": 142, "829422950744629": 142, "627511978149414": 142, "934389114379883": 142, "3838608264923096": 142, "051286697387695": 142, "838359832763672": 142, "617751598358154": 142, "009031668305397034": 142, "938535690307617": 142, "210358142852783": 142, "2514910697937012": 142, "99782371520996": 142, "607771396636963": 142, "819431781768799": 142, "965452194213867": 142, "1940484046936035": 142, "352853298187256": 142, "02015495300293": 142, "613363265991211": 142, "621993541717529": 142, "94396209716797": 142, "221198081970215": 142, "039453506469727": 142, "876657485961914": 142, "456147193908691": 142, "010181717574596405": 142, "88665008544922": 142, "075398921966553": 142, "3944188356399536": 142, "825931549072266": 142, "45582103729248": 142, "8200671672821045": 142, "897172927856445": 142, "068652629852295": 142, "237208843231201": 142, "831417083740234": 142, "45245361328125": 142, "647853374481201": 142, "88813591003418": 142, "0611724853515625": 142, "047277927398682": 142, "841081619262695": 142, "286953449249268": 142, "7342422008514404": 142, "473478317260742": 142, "3926570415496826": 142, "7406280040740967": 142, "889202117919922": 142, "425586998462677": 142, "5981895923614502": 142, "5846140384674072": 142, "5742616653442383": 142, "5650081634521484": 142, "5565063953399658": 142, "5486383438110352": 142, "5413501262664795": 142, "5343244075775146": 142, "527724027633667": 142, "5216310024261475": 142, "5152032375335693": 142, "5089616775512695": 142, "501650094985962": 142, "4954898357391357": 142, "489363431930542": 142, "4832861423492432": 142, "4771654605865479": 142, "4711031913757324": 142, "4650511741638184": 142, "459101915359497": 142, "4530129432678223": 142, "4469878673553467": 142, "440964937210083": 142, "4349477291107178": 142, "4289309978485107": 142, "4228310585021973": 142, "4167585372924805": 142, "410749912261963": 142, "4047129154205322": 142, "398698329925537": 142, "3926775455474854": 142, "3866527080535889": 142, "3807077407836914": 142, "3746497631072998": 142, "368617057800293": 142, "3625729084014893": 142, "3565232753753662": 142, "3504652976989746": 142, "344573736190796": 142, "3384943008422852": 142, "332411527633667": 142, "3263211250305176": 142, "3202219009399414": 142, "3141143321990967": 142, "3079979419708252": 142, "3018717765808105": 142, "2957990169525146": 142, "2896628379821777": 142, "2835209369659424": 142, "277372121810913": 142, "271221399307251": 142, "265068531036377": 142, "2589201927185059": 142, "2527761459350586": 142, "2467625141143799": 142, "240633249282837": 142, "2345082759857178": 142, "2283833026885986": 142, "222254753112793": 142, "216123342514038": 142, "209984540939331": 142, "2038397789001465": 142, "1976866722106934": 142, "1915271282196045": 142, "185364007949829": 142, "1791949272155762": 142, "173022985458374": 142, "1668486595153809": 142, "1606709957122803": 142, "1543810367584229": 142, "148127555847168": 142, "1419503688812256": 142, "1357204914093018": 142, "1295442581176758": 142, "1233704090118408": 142, "117197036743164": 142, "1110260486602783": 142, "0986928939819336": 142, "092529058456421": 142, "086369276046753": 142, "080214262008667": 142, "074061393737793": 142, "067913293838501": 142, "0617713928222656": 142, "0495033264160156": 142, "0433802604675293": 142, "037264347076416": 142, "0310578346252441": 142, "024972677230835": 142, "0188794136047363": 142, "01279616355896": 142, "0067205429077148": 142, "0006103515625": 142, "9945598244667053": 142, "9885197281837463": 142, "9824947714805603": 142, "9764257073402405": 142, "9704217314720154": 142, "964433491230011": 142, "9584582448005676": 142, "9527285695075989": 142, "9467722773551941": 142, "9408326745033264": 142, "935265839099884": 142, "929366409778595": 142, "9234822392463684": 142, "9176203608512878": 142, "9117771983146667": 142, "9059540629386902": 142, "9001529812812805": 142, "8943720459938049": 142, "8886114954948425": 142, "8828728795051575": 142, "8771548867225647": 142, "8714942336082458": 142, "8658236861228943": 142, "8601697087287903": 142, "8545388579368591": 142, "8489300608634949": 142, "843413770198822": 142, "8378903269767761": 142, "8323481678962708": 142, "8268263936042786": 142, "8216672539710999": 142, "8160596489906311": 142, "8105987906455994": 142, "80516117811203": 142, "7996591925621033": 142, "7942675948143005": 142, "7888975739479065": 142, "7835498452186584": 142, "7781793475151062": 142, "7732354998588562": 142, "767961323261261": 142, "7627620100975037": 142, "7575328946113586": 142, "7523269057273865": 142, "7471463084220886": 142, "7419887185096741": 142, "7368549704551697": 142, "7317449450492859": 142, "7266603112220764": 142, "7215996384620667": 142, "7165642380714417": 142, "7115111947059631": 142, "7063524127006531": 142, "7013929486274719": 142, "6964676976203918": 142, "691582977771759": 142, "6867097020149231": 142, "6819010376930237": 142, "6771678328514099": 142, "6725077033042908": 142, "6679336428642273": 142, "6635217070579529": 142, "6590655446052551": 142, "6546815037727356": 142, "6503661274909973": 142, "6461161971092224": 142, "6419299244880676": 142, "6378348469734192": 142, "6337646842002869": 142, "6297661662101746": 142, "6258330941200256": 142, "6219598650932312": 142, "6181451678276062": 142, "6143897175788879": 142, "6107341647148132": 142, "6070948243141174": 142, "6035107970237732": 142, "5999826788902283": 142, "5965079665184021": 142, "5930899977684021": 142, "5897253155708313": 142, "5865394473075867": 142, "5831620097160339": 142, "5799562335014343": 142, "5768021941184998": 142, "573700487613678": 142, "5706481337547302": 142, "5674148201942444": 142, "5647619366645813": 142, "5619191527366638": 142, "5590595602989197": 142, "5562475323677063": 142, "5534829497337341": 142, "5507658123970032": 142, "5480915904045105": 142, "5454654097557068": 142, "5428832173347473": 142, "5403438210487366": 142, "5378821492195129": 142, "5354297757148743": 142, "5329874157905579": 142, "5306176543235779": 142, "5282872319221497": 142, "5259996056556702": 142, "5237517952919006": 142, "5215440392494202": 142, "519374668598175": 142, "5172428488731384": 142, "5151495337486267": 142, "5130928158760071": 142, "51107257604599": 142, "5090656876564026": 142, "5071210265159607": 142, "5052101016044617": 142, "5032749772071838": 142, "5014304518699646": 142, "49962061643600464": 142, "49784404039382935": 142, "49610036611557007": 142, "49438780546188354": 142, "49270719289779663": 142, "49105924367904663": 142, "4894405007362366": 142, "4878517985343933": 142, "48629385232925415": 142, "4847636818885803": 142, "4832625985145569": 142, "4817888140678406": 142, "4803425669670105": 142, "47892552614212036": 142, "47753220796585083": 142, "4761655926704407": 142, "4748249650001526": 142, "47350865602493286": 142, "47221726179122925": 142, "47094911336898804": 142, "46970421075820923": 142, "46848422288894653": 142, "4672850966453552": 142, "46610790491104126": 142, "4649532437324524": 142, "46381908655166626": 142, "4623503088951111": 142, "46125882863998413": 142, "4601892828941345": 142, "4591394066810608": 142, "45811015367507935": 142, "4570998549461365": 142, "45610886812210083": 142, "4551364779472351": 142, "45418328046798706": 142, "45324963331222534": 142, "4523339867591858": 142, "45139747858047485": 142, "45051759481430054": 142, "4496559500694275": 142, "44881337881088257": 142, "4479876160621643": 142, "44717973470687866": 142, "4463896155357361": 142, "4456161856651306": 142, "44486016035079956": 142, "4441210627555847": 142, "443398654460907": 142, "44269055128097534": 142, "4420012831687927": 142, "44132667779922485": 142, "4406678080558777": 142, "44002455472946167": 142, "43943458795547485": 142, "4388201832771301": 142, "43822091817855835": 142, "4376373887062073": 142, "4370662569999695": 142, "4365096688270569": 142, "435627281665802": 142, "43509799242019653": 142, "4346020817756653": 142, "4341009259223938": 142, "4336119294166565": 142, "4331360459327698": 142, "43267446756362915": 142, "4321109652519226": 142, "4316747784614563": 142, "4312512278556824": 142, "4308416247367859": 142, "4304429888725281": 142, "43005913496017456": 142, "4293825030326843": 142, "429021418094635": 142, "4286734461784363": 142, "4283382296562195": 142, "42798370122909546": 142, "4276741147041321": 142, "42737704515457153": 142, "4270938038825989": 142, "4268229603767395": 142, "4265654683113098": 142, "4267330765724182": 142, "4265063405036926": 142, "42629164457321167": 142, "42608994245529175": 142, "42609256505966187": 142, "4257522225379944": 142, "010049250908195972": 142, "021694771945476532": 142, "01652917079627514": 142, "039258938282728195": 142, "013332140631973743": 142, "07931963354349136": 142, "0038241413421928883": 142, "005963178351521492": 142, "0023116744123399258": 142, "06973546743392944": 142, "023080134764313698": 142, "08244159817695618": 142, "007201283238828182": 142, "010347274132072926": 142, "010994539596140385": 142, "0008351230062544346": 142, "004442115314304829": 142, "04782605171203613": 142, "03374592587351799": 142, "03755034878849983": 142, "05137965828180313": 142, "004719295538961887": 142, "021364379674196243": 142, "10062765330076218": 142, "0005451014149002731": 142, "0068130893632769585": 142, "004569227807223797": 142, "04947984218597412": 142, "16134466230869293": 142, "03901601955294609": 142, "04130485653877258": 142, "02702673152089119": 142, "05346161872148514": 142, "007671901024878025": 142, "028578193858265877": 142, "04541109874844551": 142, "010801425203680992": 142, "007814818061888218": 142, "006732528563588858": 142, "017643563449382782": 142, "007904458791017532": 142, "0500405952334404": 142, "006422616075724363": 142, "0010615263599902391": 142, "008849220350384712": 142, "021763313561677933": 142, "0017912689363583922": 142, "051604945212602615": 142, "013919344171881676": 142, "011091545224189758": 142, "008908232674002647": 142, "007518579252064228": 142, "0026971660554409027": 142, "04693092405796051": 142, "2709284722805023": 142, "29535555839538574": 142, "04195703566074371": 142, "1781173199415207": 142, "007928448729217052": 142, "06373841315507889": 142, "818711280822754": 142, "007627351675182581": 142, "916080474853516": 142, "346401572227478": 142, "2606031894683838": 142, "910022735595703": 142, "8095288276672363": 142, "816082715988159": 142, "949256896972656": 142, "4498064517974854": 142, "308979034423828": 142, "985897064208984": 142, "822838306427002": 142, "630929470062256": 142, "92300033569336": 142, "4194416999816895": 142, "02311372756958": 142, "87907600402832": 142, "657459259033203": 142, "017420770600438118": 142, "890207290649414": 142, "282247543334961": 142, "373548150062561": 142, "80953025817871": 142, "6495161056518555": 142, "8223483562469482": 142, "900293350219727": 142, "283992767333984": 142, "83024024963379": 142, "65730094909668": 142, "646906852722168": 142, "89992332458496": 142, "245850563049316": 142, "047178268432617": 142, "852144241333008": 142, "484715461730957": 142, "002274521393701434": 142, "938650131225586": 142, "023289680480957": 142, "402340292930603": 142, "843231201171875": 142, "47595500946045": 142, "8252036571502686": 142, "94330406188965": 142, "045079708099365": 142, "230976104736328": 142, "855379104614258": 142, "492453575134277": 142, "618443965911865": 142, "954421997070312": 142, "041014194488525": 142, "045265197753906": 142, "859418869018555": 142, "6069327592849731": 142, "5836222171783447": 142, "492351531982422": 142, "446287155151367": 142, "2504749298095703": 142, "892864227294922": 142, "6533524394035339": 142, "126708507537842": 142, "106843948364258": 142, "089831590652466": 142, "0741958618164062": 142, "0593631267547607": 142, "044872283935547": 142, "0309712886810303": 142, "016719341278076": 142, "0024893283843994": 142, "988306999206543": 142, "9741225242614746": 142, "9601502418518066": 142, "9469611644744873": 142, "934492588043213": 142, "9225225448608398": 142, "9107847213745117": 142, "8997666835784912": 142, "889134407043457": 142, "87886643409729": 142, "8689346313476562": 142, "8593192100524902": 142, "8499133586883545": 142, "8408758640289307": 142, "8321046829223633": 142, "823582410812378": 142, "815302848815918": 142, "8072435855865479": 142, "799393892288208": 142, "7917437553405762": 142, "7842864990234375": 142, "7770075798034668": 142, "7698974609375": 142, "763091802597046": 142, "7562947273254395": 142, "7496426105499268": 142, "7430226802825928": 142, "7364704608917236": 142, "7302100658416748": 142, "7240660190582275": 142, "7180311679840088": 142, "712101936340332": 142, "706270456314087": 142, "7005329132080078": 142, "6948707103729248": 142, "6893119812011719": 142, "6837408542633057": 142, "6783490180969238": 142, "6730332374572754": 142, "6677892208099365": 142, "6626198291778564": 142, "6575193405151367": 142, "652491807937622": 142, "6475391387939453": 142, "6426658630371094": 142, "6378791332244873": 142, "6331467628479004": 142, "6284751892089844": 142, "623945713043213": 142, "6193771362304688": 142, "6148490905761719": 142, "610361099243164": 142, "6059114933013916": 142, "6014957427978516": 142, "5971105098724365": 142, "5927598476409912": 142, "5884387493133545": 142, "5841493606567383": 142, "579890489578247": 142, "5756688117980957": 142, "5714664459228516": 142, "5672926902770996": 142, "5631425380706787": 142, "5590169429779053": 142, "554868459701538": 142, "5507829189300537": 142, "5467212200164795": 142, "5426764488220215": 142, "538649559020996": 142, "5346391201019287": 142, "5306470394134521": 142, "5266687870025635": 142, "522702693939209": 142, "5187511444091797": 142, "5148096084594727": 142, "5108790397644043": 142, "5069570541381836": 142, "5030426979064941": 142, "4991364479064941": 142, "4952356815338135": 142, "4913372993469238": 142, "4873805046081543": 142, "4834880828857422": 142, "4795992374420166": 142, "4757072925567627": 142, "4718120098114014": 142, "4679172039031982": 142, "4640169143676758": 142, "4600820541381836": 142, "4561729431152344": 142, "452256679534912": 142, "4482533931732178": 142, "4443273544311523": 142, "4403858184814453": 142, "4364323616027832": 142, "4324612617492676": 142, "428504467010498": 142, "4245014190673828": 142, "4204795360565186": 142, "416438341140747": 142, "4123775959014893": 142, "4082980155944824": 142, "4041974544525146": 142, "400024652481079": 142, "3958806991577148": 142, "3917121887207031": 142, "3875176906585693": 142, "3832969665527344": 142, "3790497779846191": 142, "3747868537902832": 142, "370527982711792": 142, "366274118423462": 142, "3620238304138184": 142, "357774019241333": 142, "3535289764404297": 142, "3485143184661865": 142, "3441717624664307": 142, "339925765991211": 142, "3356785774230957": 142, "331432819366455": 142, "327185869216919": 142, "3229382038116455": 142, "3187594413757324": 142, "3145132064819336": 142, "310265302658081": 142, "3060200214385986": 142, "301769733428955": 142, "2975175380706787": 142, "293266773223877": 142, "2890143394470215": 142, "2847602367401123": 142, "280505657196045": 142, "2762532234191895": 142, "2719929218292236": 142, "2677381038665771": 142, "263474464416504": 142, "259216070175171": 142, "254953145980835": 142, "250688076019287": 142, "246422290802002": 142, "2421526908874512": 142, "237882137298584": 142, "2336065769195557": 142, "2293286323547363": 142, "2250447273254395": 142, "2207581996917725": 142, "2164669036865234": 142, "2121732234954834": 142, "2078726291656494": 142, "2035725116729736": 142, "1992645263671875": 142, "1949498653411865": 142, "1906306743621826": 142, "1863048076629639": 142, "1819708347320557": 142, "1776304244995117": 142, "173285961151123": 142, "1689317226409912": 142, "1645705699920654": 142, "1602003574371338": 142, "1558220386505127": 142, "1514348983764648": 142, "1470372676849365": 142, "1426308155059814": 142, "138214349746704": 142, "1337873935699463": 142, "129349708557129": 142, "1249005794525146": 142, "1204416751861572": 142, "1159701347351074": 142, "111487627029419": 142, "1069929599761963": 142, "1024878025054932": 142, "0979673862457275": 142, "0934343338012695": 142, "0888879299163818": 142, "084326982498169": 142, "0798676013946533": 142, "075277328491211": 142, "0706703662872314": 142, "0660972595214844": 142, "0614573955535889": 142, "0568020343780518": 142, "0521304607391357": 142, "0474443435668945": 142, "0427403450012207": 142, "0380229949951172": 142, "0332860946655273": 142, "0285325050354004": 142, "023763656616211": 142, "0190060138702393": 142, "0142033100128174": 142, "0093843936920166": 142, "0045502185821533": 142, "9997343420982361": 142, "9949406981468201": 142, "9901686310768127": 142, "9854180216789246": 142, "9808724522590637": 142, "976118266582489": 142, "9714344143867493": 142, "9667760729789734": 142, "9621413350105286": 142, "9575329422950745": 142, "9522420763969421": 142, "9476926922798157": 142, "9431632161140442": 142, "9386582970619202": 142, "9341760277748108": 142, "9297186732292175": 142, "9252873063087463": 142, "9208802580833435": 142, "916498601436615": 142, "9121450781822205": 142, "9078155159950256": 142, "9035149216651917": 142, "899279773235321": 142, "8950302004814148": 142, "8903902173042297": 142, "8861910700798035": 142, "8820202946662903": 142, "8778755068778992": 142, "8737611174583435": 142, "8694887757301331": 142, "8654287457466125": 142, "8612386584281921": 142, "8572315573692322": 142, "8532517552375793": 142, "8493008017539978": 142, "8453769087791443": 142, "8414803147315979": 142, "8376105427742004": 142, "8337677121162415": 142, "8299538493156433": 142, "8261657357215881": 142, "8224048018455505": 142, "8186711668968201": 142, "8149635195732117": 142, "8112837672233582": 142, "8073535561561584": 142, "8037258982658386": 142, "799015462398529": 142, "7954387068748474": 142, "7918892502784729": 142, "7883651852607727": 142, "7848671078681946": 142, "7813952565193176": 142, "7779480814933777": 142, "7745022177696228": 142, "7711057066917419": 142, "7677345871925354": 142, "7644942402839661": 142, "7609811425209045": 142, "7576873898506165": 142, "7544165253639221": 142, "7511717677116394": 142, "7479508519172668": 142, "7447518706321716": 142, "7415781617164612": 142, "7384266257286072": 142, "7352966666221619": 142, "7321907877922058": 142, "7309191823005676": 142, "7278590798377991": 142, "7248255610466003": 142, "7218146920204163": 142, "7188251614570618": 142, "7158588767051697": 142, "7129152417182922": 142, "7099925875663757": 142, "7070919871330261": 142, "7044023871421814": 142, "7015443444252014": 142, "6987083554267883": 142, "6956606507301331": 142, "6928701996803284": 142, "6901022791862488": 142, "68735271692276": 142, "6846243739128113": 142, "6819170117378235": 142, "6792287230491638": 142, "676561176776886": 142, "6739093661308289": 142, "671282947063446": 142, "6686766743659973": 142, "6659546494483948": 142, "6633911728858948": 142, "6608696579933167": 142, "6583455204963684": 142, "6558393836021423": 142, "01609371230006218": 142, "0013037835014984012": 142, "00414071511477232": 142, "12573781609535217": 142, "022667579352855682": 142, "2003471553325653": 142, "025464780628681183": 142, "01572171412408352": 142, "02620227448642254": 142, "121839739382267": 142, "17164915800094604": 142, "1562289148569107": 142, "01343398354947567": 142, "028823794797062874": 142, "008714736439287663": 142, "0009038941352628171": 142, "03792800009250641": 142, "024585194885730743": 142, "006357251200824976": 142, "0009149275138042867": 142, "020870599895715714": 142, "09921485930681229": 142, "03879568725824356": 142, "055950965732336044": 142, "00039851179462857544": 142, "004043377470225096": 142, "009482606314122677": 142, "0652587041258812": 142, "05246778205037117": 142, "052618902176618576": 142, "003125155111774802": 142, "008522857911884785": 142, "022287487983703613": 142, "0166181493550539": 142, "007094725500792265": 142, "004746551625430584": 142, "01758028194308281": 142, "03459237515926361": 142, "05134526267647743": 142, "010330867022275925": 142, "020683996379375458": 142, "003063427284359932": 142, "046438202261924744": 142, "018143104389309883": 142, "03760473057627678": 142, "029072033241391182": 142, "0013567096320912242": 142, "009717115201056004": 142, "005578913260251284": 142, "011447176337242126": 142, "02922949381172657": 142, "007635266054421663": 142, "006565142888575792": 142, "008890288881957531": 142, "3152061402797699": 142, "1285400688648224": 142, "04896305501461029": 142, "013783304952085018": 142, "6113209128379822": 142, "2153758406639099": 142, "82236909866333": 142, "026583198457956314": 142, "950204849243164": 142, "3803026676177979": 142, "4286638498306274": 142, "81924819946289": 142, "803354024887085": 142, "8215231895446777": 142, "87897300720215": 142, "3728909492492676": 142, "216303825378418": 142, "82162857055664": 142, "8187966346740723": 142, "67031192779541": 142, "941822052001953": 142, "303547978401184": 142, "059901237487793": 142, "868038177490234": 142, "603202819824219": 142, "03614550456404686": 142, "970195770263672": 142, "199019908905029": 142, "4396766424179077": 142, "817564010620117": 142, "629800319671631": 142, "8215389251708984": 142, "889171600341797": 142, "194734573364258": 142, "198099136352539": 142, "8267822265625": 142, "606618881225586": 142, "670557975769043": 142, "956146240234375": 142, "95371675491333": 142, "949634075164795": 142, "095016479492188": 142, "429807662963867": 142, "013799103908240795": 142, "911479949951172": 142, "038811206817627": 142, "427509069442749": 142, "814313888549805": 142, "453713417053223": 142, "8212671279907227": 142, "87649917602539": 142, "039420127868652": 142, "211389541625977": 142, "818939208984375": 142, "433810234069824": 142, "653163909912109": 142, "905925750732422": 142, "052683353424072": 142, "032637119293213": 142, "948421478271484": 142, "217409610748291": 142, "082951068878174": 142, "684326171875": 142, "037592887878418": 142, "314115524291992": 142, "272491455078125": 142, "7084428668022156": 142, "1563198566436768": 142, "1428802013397217": 142, "1336238384246826": 142, "1245641708374023": 142, "1153998374938965": 142, "1062963008880615": 142, "0975542068481445": 142, "0884761810302734": 142, "0796196460723877": 142, "0709810256958008": 142, "0620975494384766": 142, "0534212589263916": 142, "0448555946350098": 142, "036783218383789": 142, "0282378196716309": 142, "019946575164795": 142, "011657953262329": 142, "0034804344177246": 142, "9953667521476746": 142, "9873787760734558": 142, "9798865914344788": 142, "9728705286979675": 142, "9666528105735779": 142, "9601556658744812": 142, "9539427161216736": 142, "9480002522468567": 142, "9421862959861755": 142, "9366944432258606": 142, "9314284920692444": 142, "9263407588005066": 142, "9214938282966614": 142, "9171237349510193": 142, "9126594662666321": 142, "9083756804466248": 142, "9042608141899109": 142, "9003131985664368": 142, "8965237736701965": 142, "8928917050361633": 142, "8891837000846863": 142, "8858497738838196": 142, "8826293349266052": 142, "8796129822731018": 142, "8767711520195007": 142, "8741422295570374": 142, "8716431260108948": 142, "8694344162940979": 142, "8673329949378967": 142, "8653722405433655": 142, "8634127974510193": 142, "8615947365760803": 142, "8575218319892883": 142, "8560864329338074": 142, "8548153042793274": 142, "8535457253456116": 142, "8523679375648499": 142, "851124107837677": 142, "8499444127082825": 142, "8490152955055237": 142, "8481666445732117": 142, "8474025130271912": 142, "8467231392860413": 142, "8461266160011292": 142, "8456112742424011": 142, "8451711535453796": 142, "8447988629341125": 142, "8444942831993103": 142, "844244658946991": 142, "8442347645759583": 142, "8440859913825989": 142, "8438573479652405": 142, "8438685536384583": 142, "8438237309455872": 142, "8438134789466858": 142, "843765914440155": 142, "8438119292259216": 142, "8438764214515686": 142, "8439649939537048": 142, "8440766930580139": 142, "844207227230072": 142, "8443560004234314": 142, "8445207476615906": 142, "8447312712669373": 142, "84492427110672": 142, "84512859582901": 142, "845346987247467": 142, "8457085490226746": 142, "8459470868110657": 142, "8461968302726746": 142, "8464540839195251": 142, "8468920588493347": 142, "8471639752388": 142, "8474416136741638": 142, "8477197289466858": 142, "8479986786842346": 142, "8482794165611267": 142, "8485587239265442": 142, "848897397518158": 142, "8491743206977844": 142, "8494471907615662": 142, "8497150540351868": 142, "8499789834022522": 142, "8502383828163147": 142, "8504921793937683": 142, "8507439494132996": 142, "8509858250617981": 142, "8512210249900818": 142, "8514528870582581": 142, "8516756892204285": 142, "8518940806388855": 142, "852106511592865": 142, "8522241711616516": 142, "8523573279380798": 142, "8525539040565491": 142, "8527480959892273": 142, "8529422879219055": 142, "8531338572502136": 142, "853437602519989": 142, "8536275029182434": 142, "8538199067115784": 142, "8540129065513611": 142, "8542048335075378": 142, "8543984293937683": 142, "8545889258384705": 142, "8548808693885803": 142, "8550722002983093": 142, "855259120464325": 142, "8554467558860779": 142, "8556349873542786": 142, "8587622046470642": 142, "8589571118354797": 142, "8591452240943909": 142, "8593314290046692": 142, "8595756888389587": 142, "8597587943077087": 142, "8599410653114319": 142, "8601195216178894": 142, "8601762652397156": 142, "8603519797325134": 142, "8605251908302307": 142, "8606979250907898": 142, "860868513584137": 142, "8610374331474304": 142, "8612032532691956": 142, "8597145676612854": 142, "8598828911781311": 142, "8600487112998962": 142, "8602129817008972": 142, "8603728413581848": 142, "860166609287262": 142, "8603169322013855": 142, "8604617714881897": 142, "8606025576591492": 142, "8607376217842102": 142, "8609622120857239": 142, "8610859513282776": 142, "8612038493156433": 142, "8613112568855286": 142, "861410915851593": 142, "861499011516571": 142, "8615781664848328": 142, "8616451621055603": 142, "8614982962608337": 142, "8615462183952332": 142, "8622192740440369": 142, "8622422814369202": 142, "8622484803199768": 142, "8622398972511292": 142, "862214982509613": 142, "8621761202812195": 142, "860710084438324": 142, "8606378436088562": 142, "8605478405952454": 142, "8604418635368347": 142, "8603151440620422": 142, "8601691126823425": 142, "8600043654441833": 142, "8598174452781677": 142, "8596116900444031": 142, "8593857884407043": 142, "8591408133506775": 142, "8588739037513733": 142, "8584668040275574": 142, "8581586480140686": 142, "8577975630760193": 142, "8574437499046326": 142, "8570690751075745": 142, "8566727042198181": 142, "8562533259391785": 142, "8558130860328674": 142, "8553507924079895": 142, "8548654913902283": 142, "8543587327003479": 142, "8538110852241516": 142, "8532586693763733": 142, "8526826500892639": 142, "8520095944404602": 142, "8513873219490051": 142, "8507404923439026": 142, "8501328825950623": 142, "8494381308555603": 142, "8487177491188049": 142, "8479730486869812": 142, "84720379114151": 142, "8464097380638123": 142, "8455913662910461": 142, "8447480797767639": 142, "8438815474510193": 142, "8429921269416809": 142, "8420785069465637": 142, "8411428332328796": 142, "84018474817276": 142, "8392056822776794": 142, "8381018042564392": 142, "8370802998542786": 142, "8360410332679749": 142, "8347412943840027": 142, "8336566090583801": 142, "8325554728507996": 142, "8313555121421814": 142, "8302187323570251": 142, "829078733921051": 142, "8279075026512146": 142, "8267205357551575": 142, "825604259967804": 142, "824357807636261": 142, "8231223225593567": 142, "8218682408332825": 142, "8205969929695129": 142, "8193065524101257": 142, "8179976344108582": 142, "8166767954826355": 142, "8153455853462219": 142, "8166616559028625": 142, "8153323531150818": 142, "8139860033988953": 142, "8126241564750671": 142, "8112501502037048": 142, "8098236918449402": 142, "8084419369697571": 142, "8070270419120789": 142, "8055978417396545": 142, "8041533827781677": 142, "8026956915855408": 142, "8012239336967468": 142, "7997137904167175": 142, "7982123494148254": 142, "7966989874839783": 142, "795171320438385": 142, "7936318516731262": 142, "7920798659324646": 142, "7905170321464539": 142, "7889431118965149": 142, "7873575091362": 142, "7858276963233948": 142, "7842203974723816": 142, "7826029658317566": 142, "7809756398200989": 142, "7792995572090149": 142, "7776544690132141": 142, "7760007977485657": 142, "7743385434150696": 142, "7726693749427795": 142, "7709925770759583": 142, "7693102955818176": 142, "7677263617515564": 142, "7661102414131165": 142, "7644125819206238": 142, "7627115845680237": 142, "7607452273368835": 142, "7590438723564148": 142, "7570058703422546": 142, "7553021311759949": 142, "753368079662323": 142, "7516627907752991": 142, "7499578595161438": 142, "748252809047699": 142, "7466875910758972": 142, "7449830174446106": 142, "7435830235481262": 142, "7418766617774963": 142, "7401692271232605": 142, "7379154562950134": 142, "7361990809440613": 142, "7344793677330017": 142, "7327577471733093": 142, "7310325503349304": 142, "7293042540550232": 142, "7275722622871399": 142, "7258375287055969": 142, "7240987420082092": 142, "7223584055900574": 142, "7206130623817444": 142, "7189673781394958": 142, "717216432094574": 142, "7154660820960999": 142, "7137120366096497": 142, "7119576334953308": 142, "7102007269859314": 142, "03639956936240196": 142, "007859020493924618": 142, "0056296163238584995": 142, "002372071146965027": 142, "01787826605141163": 142, "08922093361616135": 142, "0017323826905339956": 142, "012520446442067623": 142, "05353963375091553": 142, "0021123948972672224": 142, "0002078319521388039": 142, "08454665541648865": 142, "03453228995203972": 142, "03090992197394371": 142, "009385929442942142": 142, "02403366006910801": 142, "014829435385763645": 142, "07491779327392578": 142, "00852630753070116": 142, "007238150108605623": 142, "006290807388722897": 142, "00663038482889533": 142, "040522500872612": 142, "08544760197401047": 142, "004053257405757904": 142, "014582077972590923": 142, "05268307775259018": 142, "004652956500649452": 142, "006557314191013575": 142, "0753934234380722": 142, "004821899347007275": 142, "02995985373854637": 142, "007870906963944435": 142, "163540318608284": 142, "07569945603609085": 142, "15918460488319397": 142, "025524018332362175": 142, "014040655456483364": 142, "07401855289936066": 142, "01641615852713585": 142, "01590522564947605": 142, "09518878906965256": 142, "0036429453175514936": 142, "005607136059552431": 142, "05761764571070671": 142, "01770976185798645": 142, "00981387123465538": 142, "0890674740076065": 142, "025869380682706833": 142, "005708002019673586": 142, "07371418178081512": 142, "06629902124404907": 142, "02639678493142128": 142, "16531477868556976": 142, "08452490717172623": 142, "13979652523994446": 142, "09353256970643997": 142, "24869555234909058": 142, "0020034336484968662": 142, "2617754638195038": 142, "7836763858795166": 142, "014832084067165852": 142, "883865356445312": 142, "406062364578247": 142, "4017231464385986": 142, "844453811645508": 142, "798090696334839": 142, "8200011253356934": 142, "893068313598633": 142, "407376766204834": 142, "231104373931885": 142, "839038848876953": 142, "799755334854126": 142, "642337799072266": 142, "886503219604492": 142, "405773401260376": 142, "037073135375977": 142, "840625762939453": 142, "633938789367676": 142, "0025498548056930304": 142, "924245834350586": 142, "156768321990967": 142, "3785799741744995": 142, "803834915161133": 142, "654884338378906": 142, "7997584342956543": 142, "962949752807617": 142, "181878566741943": 142, "235472679138184": 142, "818517684936523": 142, "639499187469482": 142, "620151519775391": 142, "916717529296875": 142, "195740699768066": 142, "036233425140381": 142, "82880973815918": 142, "405448913574219": 142, "023653119802474976": 142, "970399856567383": 142, "039929389953613": 142, "2047173976898193": 142, "048032760620117": 142, "420241355895996": 142, "8095898628234863": 142, "96578598022461": 142, "016373634338379": 142, "260715484619141": 142, "986032485961914": 142, "428744316101074": 142, "622420310974121": 142, "938112258911133": 142, "020237922668457": 142, "992562294006348": 142, "875699996948242": 142, "792664051055908": 142, "5038158893585205": 142, "616811752319336": 142, "819685459136963": 142, "4040446281433105": 142, "761722564697266": 142, "6225427985191345": 142, "5498526096343994": 142, "5365386009216309": 142, "5263121128082275": 142, "515876054763794": 142, "505986213684082": 142, "496267557144165": 142, "486809253692627": 142, "477705478668213": 142, "468885898590088": 142, "4602720737457275": 142, "4518625736236572": 142, "4438354969024658": 142, "435811996459961": 142, "4278006553649902": 142, "4196922779083252": 142, "4119198322296143": 142, "4042160511016846": 142, "3963885307312012": 142, "3888487815856934": 142, "381976842880249": 142, "3744516372680664": 142, "3668277263641357": 142, "3593833446502686": 142, "3519947528839111": 142, "3446223735809326": 142, "3373596668243408": 142, "3299379348754883": 142, "3227546215057373": 142, "3156414031982422": 142, "3085944652557373": 142, "3015403747558594": 142, "2946882247924805": 142, "2878756523132324": 142, "2810914516448975": 142, "2743704319000244": 142, "2677147388458252": 142, "2611021995544434": 142, "254446029663086": 142, "2479829788208008": 142, "2415814399719238": 142, "2352445125579834": 142, "2289674282073975": 142, "2227511405944824": 142, "2165977954864502": 142, "2105095386505127": 142, "2044012546539307": 142, "1984331607818604": 142, "1925342082977295": 142, "1866850852966309": 142, "1808140277862549": 142, "1750874519348145": 142, "1693525314331055": 142, "1642119884490967": 142, "1586740016937256": 142, "1531999111175537": 142, "1477117538452148": 142, "142352819442749": 142, "13704514503479": 142, "1317939758300781": 142, "1265993118286133": 142, "1214570999145508": 142, "1113359928131104": 142, "1063613891601562": 142, "1014389991760254": 142, "096663475036621": 142, "0918617248535156": 142, "0871124267578125": 142, "0826988220214844": 142, "0780694484710693": 142, "0734946727752686": 142, "0689818859100342": 142, "0645244121551514": 142, "0601253509521484": 142, "055781602859497": 142, "0514945983886719": 142, "0472469329833984": 142, "0430736541748047": 142, "0389549732208252": 142, "0348918437957764": 142, "030881643295288": 142, "0268275737762451": 142, "0229277610778809": 142, "0190811157226562": 142, "0152909755706787": 142, "0115511417388916": 142, "007866382598877": 142, "0042345523834229": 142, "0006542205810547": 142, "9971272349357605": 142, "9936521649360657": 142, "9902302622795105": 142, "9868587851524353": 142, "9835390448570251": 142, "9802716374397278": 142, "9770531058311462": 142, "9738871455192566": 142, "9707702994346619": 142, "9677045941352844": 142, "964690625667572": 142, "961635172367096": 142, "958717405796051": 142, "9558516144752502": 142, "9530790448188782": 142, "9503207802772522": 142, "9474285244941711": 142, "9448104500770569": 142, "9421886801719666": 142, "939614474773407": 142, "9370822310447693": 142, "9345939755439758": 142, "9320399165153503": 142, "9296377301216125": 142, "9273368716239929": 142, "9250158667564392": 142, "9227325320243835": 142, "9204862713813782": 142, "9182760119438171": 142, "9161011576652527": 142, "913929283618927": 142, "9118210673332214": 142, "9097446799278259": 142, "907701313495636": 142, "905687153339386": 142, "9037047028541565": 142, "9017488360404968": 142, "8998224139213562": 142, "8979265093803406": 142, "8960556387901306": 142, "8942105174064636": 142, "8923928141593933": 142, "8905993103981018": 142, "888828456401825": 142, "8870827555656433": 142, "8853581547737122": 142, "883656919002533": 142, "8819761872291565": 142, "8803170323371887": 142, "8786774277687073": 142, "8771103024482727": 142, "8755016922950745": 142, "8738628029823303": 142, "8722895979881287": 142, "8707333207130432": 142, "8691135048866272": 142, "8675910830497742": 142, "8661810755729675": 142, "8646906018257141": 142, "8632151484489441": 142, "8617553114891052": 142, "8603091835975647": 142, "8588772416114807": 142, "8574596047401428": 142, "8562386631965637": 142, "854939877986908": 142, "8535608649253845": 142, "8521954417228699": 142, "8510308861732483": 142, "8496915698051453": 142, "8483664393424988": 142, "8470531105995178": 142, "8461220860481262": 142, "8448314070701599": 142, "8435532450675964": 142, "842285692691803": 142, "841029703617096": 142, "8396137356758118": 142, "838378369808197": 142, "8368521332740784": 142, "8355922102928162": 142, "8343827128410339": 142, "8331772685050964": 142, "8318328261375427": 142, "8306352496147156": 142, "8294431567192078": 142, "8282527327537537": 142, "8270425200462341": 142, "8258597254753113": 142, "8246777653694153": 142, "8234943747520447": 142, "82231205701828": 142, "8211293816566467": 142, "8199439644813538": 142, "8187565207481384": 142, "8175643086433411": 142, "8163685202598572": 142, "8151690363883972": 142, "8139174580574036": 142, "8127086758613586": 142, "8114926218986511": 142, "8102725148200989": 142, "8090437054634094": 142, "8078083395957947": 142, "8065657019615173": 142, "8053163886070251": 142, "8040576577186584": 142, "8027907013893127": 142, "8015130162239075": 142, "800229012966156": 142, "7989333271980286": 142, "7976303696632385": 142, "7963170409202576": 142, "7949946522712708": 142, "7936616539955139": 142, "7923184037208557": 142, "7909665703773499": 142, "789603054523468": 142, "7882310748100281": 142, "7868478894233704": 142, "7854543328285217": 142, "7840494513511658": 142, "7826351523399353": 142, "7812088131904602": 142, "7797475457191467": 142, "7783003449440002": 142, "7768421769142151": 142, "775372326374054": 142, "7738909125328064": 142, "7723982930183411": 142, "7708950638771057": 142, "7693784832954407": 142, "7678502202033997": 142, "7659322619438171": 142, "7643783688545227": 142, "7628135085105896": 142, "761238157749176": 142, "7593254446983337": 142, "7577283978462219": 142, "756119430065155": 142, "7544998526573181": 142, "7528702616691589": 142, "7512298226356506": 142, "7495792508125305": 142, "7479175925254822": 142, "746213972568512": 142, "7445341944694519": 142, "7428449988365173": 142, "7411450743675232": 142, "7394376397132874": 142, "7377198338508606": 142, "7359936833381653": 142, "7342578768730164": 142, "7325126528739929": 142, "7307578921318054": 142, "7289955019950867": 142, "7272232174873352": 142, "7254418730735779": 142, "7236533761024475": 142, "7218542695045471": 142, "7200465798377991": 142, "7182320952415466": 142, "7164083123207092": 142, "7145785689353943": 142, "7127427458763123": 142, "7108667492866516": 142, "7090602517127991": 142, "7072041630744934": 142, "7053425908088684": 142, "7034737467765808": 142, "7016004920005798": 142, "6997200846672058": 142, "6978355050086975": 142, "6959449648857117": 142, "6940487027168274": 142, "692148745059967": 142, "6902413964271545": 142, "6883295178413391": 142, "6864110827445984": 142, "6844869256019592": 142, "682558000087738": 142, "6806225180625916": 142, "6786779761314392": 142, "6767300963401794": 142, "6747754216194153": 142, "6728153824806213": 142, "670848548412323": 142, "668875515460968": 142, "6668974757194519": 142, "6649134755134583": 142, "6629131436347961": 142, "6609175801277161": 142, "6589168906211853": 142, "6569110751152039": 142, "6549016833305359": 142, "652886688709259": 142, "6508665680885315": 142, "6491183638572693": 142, "6470882296562195": 142, "6450572609901428": 142, "643021285533905": 142, "6413952708244324": 142, "6393540501594543": 142, "6373092532157898": 142, "6352608799934387": 142, "6312702298164368": 142, "6307782530784607": 142, "6287246346473694": 142, "6266675591468811": 142, "6246064305305481": 142, "03383393958210945": 142, "0054856231436133385": 142, "023241501301527023": 142, "00020007412240374833": 142, "02430707961320877": 142, "0441182479262352": 142, "01236006524413824": 142, "01455163024365902": 142, "027588125318288803": 142, "012784385122358799": 142, "01618705317378044": 142, "06156855449080467": 142, "00261949235573411": 142, "010361614637076855": 142, "01792868971824646": 142, "012426307424902916": 142, "0048737055622041225": 142, "056287217885255814": 142, "014046544209122658": 142, "023161787539720535": 142, "011639837175607681": 142, "10990990698337555": 142, "013828069902956486": 142, "11492069810628891": 142, "002226416487246752": 142, "007936152629554272": 142, "013575802557170391": 142, "01851785182952881": 142, "03431377559900284": 142, "0833459347486496": 142, "006298195105046034": 142, "02927934192121029": 142, "03478200361132622": 142, "005881256423890591": 142, "0008040462853386998": 142, "05967191606760025": 142, "08062663674354553": 142, "1054612249135971": 142, "09980180114507675": 142, "07165367156267166": 142, "010423446074128151": 142, "20472842454910278": 142, "012823687866330147": 142, "010618392378091812": 142, "014909600839018822": 142, "04492853209376335": 142, "11822593957185745": 142, "15682083368301392": 142, "012283816002309322": 142, "04657449200749397": 142, "0356011800467968": 142, "002780389739200473": 142, "04493631795048714": 142, "06489505618810654": 142, "026151174679398537": 142, "28893181681632996": 142, "34375354647636414": 142, "15707311034202576": 142, "3087121844291687": 142, "10105585306882858": 142, "8525331020355225": 142, "015526056289672852": 142, "935787200927734": 142, "475203037261963": 142, "403937816619873": 142, "877592086791992": 142, "8519256114959717": 142, "8016653060913086": 142, "936115264892578": 142, "4287915229797363": 142, "245739936828613": 142, "839933395385742": 142, "822195291519165": 142, "638211250305176": 142, "891122817993164": 142, "4252164363861084": 142, "034775733947754": 142, "839393615722656": 142, "660679817199707": 142, "025656403973698616": 142, "9665470123291": 142, "189143180847168": 142, "4271353483200073": 142, "012516021728516": 142, "659618377685547": 142, "793407917022705": 142, "95855712890625": 142, "239707946777344": 142, "249849319458008": 142, "83903694152832": 142, "646481513977051": 142, "639214515686035": 142, "90030860900879": 142, "231746196746826": 142, "025814533233643": 142, "83025550842285": 142, "465225219726562": 142, "016483809798955917": 142, "939804077148438": 142, "2617506980896": 142, "4301480054855347": 142, "021482467651367": 142, "465845108032227": 142, "7972090244293213": 142, "940914154052734": 142, "07629919052124": 142, "250067710876465": 142, "833755493164062": 142, "47685432434082": 142, "6381635665893555": 142, "888683319091797": 142, "0782880783081055": 142, "017279148101807": 142, "82427406311035": 142, "796202182769775": 142, "337484359741211": 142, "509336471557617": 142, "8788533210754395": 142, "1920065879821777": 142, "988006591796875": 142, "4545835852622986": 142, "1258094310760498": 142, "1139299869537354": 142, "1050972938537598": 142, "0966789722442627": 142, "0884981155395508": 142, "080416202545166": 142, "072660207748413": 142, "0648612976074219": 142, "0570094585418701": 142, "0493357181549072": 142, "041626214981079": 142, "034085988998413": 142, "026933193206787": 142, "019883394241333": 142, "0130798816680908": 142, "0062670707702637": 142, "9996610283851624": 142, "9929595589637756": 142, "986537516117096": 142, "9802970290184021": 142, "9740771651268005": 142, "9679878354072571": 142, "9619187712669373": 142, "9559200406074524": 142, "9503161311149597": 142, "9446603655815125": 142, "9392918944358826": 142, "9340313076972961": 142, "9288442730903625": 142, "9237794280052185": 142, "9196138978004456": 142, "9147582650184631": 142, "9100151658058167": 142, "9053218960762024": 142, "9009124636650085": 142, "8967251181602478": 142, "8927401900291443": 142, "8889415860176086": 142, "8853121399879456": 142, "8817628026008606": 142, "8784324526786804": 142, "8752338290214539": 142, "8721546530723572": 142, "8691876530647278": 142, "8663222193717957": 142, "8635526299476624": 142, "8608691096305847": 142, "8582897782325745": 142, "8557614684104919": 142, "8533013463020325": 142, "8509075045585632": 142, "8483341336250305": 142, "8460579514503479": 142, "8438060879707336": 142, "8416300415992737": 142, "8404112458229065": 142, "8383367657661438": 142, "8362999558448792": 142, "8342998623847961": 142, "8323336243629456": 142, "8303994536399841": 142, "8284959197044373": 142, "8266200423240662": 142, "8247696757316589": 142, "8229439854621887": 142, "8211401104927063": 142, "8194170594215393": 142, "8176530003547668": 142, "8159065842628479": 142, "8140450119972229": 142, "8123312592506409": 142, "8106321692466736": 142, "8089473843574524": 142, "8072752356529236": 142, "8056153655052185": 142, "8039652705192566": 142, "8023267388343811": 142, "8006988167762756": 142, "799079954624176": 142, "7974706292152405": 142, "7958692908287048": 142, "794511616230011": 142, "7929245829582214": 142, "7913439869880676": 142, "7897691130638123": 142, "7881997227668762": 142, "7866351008415222": 142, "7850777506828308": 142, "7835234999656677": 142, "7819748520851135": 142, "7804307341575623": 142, "7788898348808289": 142, "7773544192314148": 142, "7758210301399231": 142, "7742913365364075": 142, "7727628350257874": 142, "771237313747406": 142, "7695531249046326": 142, "7680309414863586": 142, "7665103077888489": 142, "7650328278541565": 142, "7635130286216736": 142, "7618080973625183": 142, "76028972864151": 142, "7587708830833435": 142, "7572514414787292": 142, "7557303309440613": 142, "7542094588279724": 142, "7526857256889343": 142, "7511605620384216": 142, "7496330142021179": 142, "7481045126914978": 142, "7465733885765076": 142, "7450403571128845": 142, "7436882853507996": 142, "7421502470970154": 142, "7404893040657043": 142, "7389453053474426": 142, "7373993992805481": 142, "7358489632606506": 142, "7342982888221741": 142, "7327447533607483": 142, "7311887145042419": 142, "7296308875083923": 142, "7280699610710144": 142, "7265082001686096": 142, "7249434590339661": 142, "7233760952949524": 142, "7218065857887268": 142, "7202350497245789": 142, "7186608910560608": 142, "7170841097831726": 142, "7155057787895203": 142, "71392422914505": 142, "7123405337333679": 142, "7107539772987366": 142, "7088972926139832": 142, "7073042988777161": 142, "7057084441184998": 142, "7041102051734924": 142, "702508270740509": 142, "7009039521217346": 142, "6992960572242737": 142, "6976847052574158": 142, "6961613297462463": 142, "6945429444313049": 142, "6929243206977844": 142, "6913020014762878": 142, "689677894115448": 142, "6880518794059753": 142, "6865549683570862": 142, "6850867867469788": 142, "6834579110145569": 142, "6818264126777649": 142, "6801959872245789": 142, "6785656809806824": 142, "6769360899925232": 142, "6753433346748352": 142, "6737125515937805": 142, "6720834374427795": 142, "6704521775245667": 142, "6688224673271179": 142, "6671931147575378": 142, "6655649542808533": 142, "6639352440834045": 142, "6623063683509827": 142, "6606760621070862": 142, "6590465903282166": 142, "6574153304100037": 142, "6557841897010803": 142, "6541528105735779": 142, "6525219082832336": 142, "6508895754814148": 142, "6492576003074646": 142, "6477041840553284": 142, "6460742354393005": 142, "6444448828697205": 142, "6428179144859314": 142, "6411930918693542": 142, "6395706534385681": 142, "6379509568214417": 142, "635465681552887": 142, "6338492035865784": 142, "6322318911552429": 142, "6306149363517761": 142, "6290010809898376": 142, "627386748790741": 142, "6257746815681458": 142, "6241633296012878": 142, "6225526928901672": 142, "6209419369697571": 142, "6193309426307678": 142, "6177211403846741": 142, "6161096692085266": 142, "6144984364509583": 142, "6128848195075989": 142, "6112702488899231": 142, "6096547245979309": 142, "6080378890037537": 142, "6064180731773376": 142, "6045539975166321": 142, "6029285788536072": 142, "6013014912605286": 142, "5996740460395813": 142, "5978385806083679": 142, "5962054133415222": 142, "5945720076560974": 142, "5929357409477234": 142, "5912972092628479": 142, "5897640585899353": 142, "5881218314170837": 142, "5864773392677307": 142, "5848299860954285": 142, "5831789374351501": 142, "5815059542655945": 142, "5798482298851013": 142, "5781876444816589": 142, "5770251154899597": 142, "5753583312034607": 142, "5736886858940125": 142, "5720170140266418": 142, "5703427195549011": 142, "5686672329902649": 142, "5669910311698914": 142, "5653141140937805": 142, "5636369585990906": 142, "5615660548210144": 142, "5598906874656677": 142, "5582154393196106": 142, "5565746426582336": 142, "554902970790863": 142, "5531122088432312": 142, "5512334704399109": 142, "5495654940605164": 142, "5479006171226501": 142, "5462382435798645": 142, "5445793271064758": 142, "5429238677024841": 142, "5410727858543396": 142, "5394224524497986": 142, "5377748608589172": 142, "5361301302909851": 142, "5344875454902649": 142, "5331434607505798": 142, "5315060019493103": 142, "5298733115196228": 142, "5282430052757263": 142, "526617705821991": 142, "5249959826469421": 142, "5233791470527649": 142, "5217674374580383": 142, "520162045955658": 142, "518563449382782": 142, "5169718861579895": 142, "5153889060020447": 142, "5138182044029236": 142, "5122541785240173": 142, "5107011198997498": 142, "5091593861579895": 142, "507631242275238": 142, "5061139464378357": 142, "5046085715293884": 142, "503115713596344": 142, "5016365647315979": 142, "5001699328422546": 142, "49871379137039185": 142, "4972720742225647": 142, "4958426356315613": 142, "4944245219230652": 142, "49301642179489136": 142, "4916185736656189": 142, "49022942781448364": 142, "4888492226600647": 142, "48747557401657104": 142, "48611027002334595": 142, "48474985361099243": 142, "4833948016166687": 142, "4818487763404846": 142, "48050278425216675": 142, "4791603684425354": 142, "4778209328651428": 142, "47648459672927856": 142, "47514981031417847": 142, "47381943464279175": 142, "47249919176101685": 142, "4711945652961731": 142, "47008031606674194": 142, "4688066840171814": 142, "46754950284957886": 142, "46630793809890747": 142, "46508318185806274": 142, "46383100748062134": 142, "46271711587905884": 142, "4615423083305359": 142, "46012336015701294": 142, "4589805006980896": 142, "4578552842140198": 142, "45674723386764526": 142, "45565682649612427": 142, "012450022622942924": 142, "0008665472851134837": 142, "009821247309446335": 142, "014951166696846485": 142, "0019838649313896894": 142, "048250555992126465": 142, "010508595034480095": 142, "0021610164549201727": 142, "009439641609787941": 142, "000958683667704463": 142, "0029846569523215294": 142, "04429474472999573": 142, "005142668727785349": 142, "0027625798247754574": 142, "005686943419277668": 142, "0037773875519633293": 142, "0023119249381124973": 142, "04256872832775116": 142, "003173078875988722": 142, "0031624827533960342": 142, "007995312102138996": 142, "0008550799684599042": 142, "022095482796430588": 142, "02923215553164482": 142, "007104883436113596": 142, "00564184645190835": 142, "007457364350557327": 142, "010880573652684689": 142, "001126266666688025": 142, "045818448066711426": 142, "007821137085556984": 142, "0018313922919332981": 142, "006695619318634272": 142, "013349109329283237": 142, "008579200133681297": 142, "04603961482644081": 142, "032297998666763306": 142, "017431309446692467": 142, "021690741181373596": 142, "05316571891307831": 142, "02283291332423687": 142, "12999039888381958": 142, "030805418267846107": 142, "01868920587003231": 142, "023635178804397583": 142, "010390641167759895": 142, "012672659009695053": 142, "049830880016088486": 142, "0006424591992981732": 142, "0013102521188557148": 142, "007871936075389385": 142, "00737418606877327": 142, "020093603059649467": 142, "0546378418803215": 142, "12407952547073364": 142, "029649928212165833": 142, "036753732711076736": 142, "20276173949241638": 142, "017691215500235558": 142, "11231300234794617": 142, "822392702102661": 142, "020885292440652847": 142, "90300178527832": 142, "3919897079467773": 142, "3396012783050537": 142, "826553344726562": 142, "8265416622161865": 142, "8263957500457764": 142, "951324462890625": 142, "3107373714447021": 142, "2087297439575195": 142, "984119415283203": 142, "824389696121216": 142, "612514019012451": 142, "955278396606445": 142, "4138009548187256": 142, "047630310058594": 142, "85974884033203": 142, "656852722167969": 142, "03136388957500458": 142, "891878128051758": 142, "263243675231934": 142, "3424556255340576": 142, "817384719848633": 142, "644952774047852": 142, "810405969619751": 142, "920978546142578": 142, "245426177978516": 142, "97562026977539": 142, "632803916931152": 142, "600230693817139": 142, "960044860839844": 142, "241508483886719": 142, "057677745819092": 142, "85633087158203": 142, "456521987915039": 142, "03249248117208481": 142, "896757125854492": 142, "056108474731445": 142, "3746846914291382": 142, "850677490234375": 142, "470569610595703": 142, "8070406913757324": 142, "922372817993164": 142, "065931797027588": 142, "198968887329102": 142, "888504028320312": 142, "487689971923828": 142, "595993518829346": 142, "96473503112793": 142, "06059455871582": 142, "048884391784668": 142, "86429214477539": 142, "8606314659118652": 142, "8946409225463867": 142, "428974151611328": 142, "893538236618042": 142, "9025943279266357": 142, "489036560058594": 142, "48095208406448364": 142, "871215581893921": 142, "8540616035461426": 142, "8385124206542969": 142, "8236463069915771": 142, "8100533485412598": 142, "797187089920044": 142, "785017490386963": 142, "7735414505004883": 142, "7622640132904053": 142, "7515060901641846": 142, "7409701347351074": 142, "7306759357452393": 142, "720660924911499": 142, "7108430862426758": 142, "7015128135681152": 142, "6920852661132812": 142, "6828083992004395": 142, "6736359596252441": 142, "6645793914794922": 142, "6555566787719727": 142, "6466503143310547": 142, "6378633975982666": 142, "6291568279266357": 142, "6200604438781738": 142, "611506700515747": 142, "6028316020965576": 142, "594376802444458": 142, "5858619213104248": 142, "5775246620178223": 142, "5690157413482666": 142, "560819149017334": 142, "5526304244995117": 142, "544485092163086": 142, "5361926555633545": 142, "5281195640563965": 142, "5202324390411377": 142, "5123686790466309": 142, "504403829574585": 142, "4964768886566162": 142, "488586187362671": 142, "481248140335083": 142, "473517894744873": 142, "4657518863677979": 142, "4580183029174805": 142, "4503157138824463": 142, "443037509918213": 142, "4353971481323242": 142, "4277868270874023": 142, "4202029705047607": 142, "4126465320587158": 142, "4051144123077393": 142, "3976085186004639": 142, "3901221752166748": 142, "3826589584350586": 142, "375223159790039": 142, "367809772491455": 142, "360419511795044": 142, "3530519008636475": 142, "345705509185791": 142, "3383796215057373": 142, "3310754299163818": 142, "3237910270690918": 142, "316528081893921": 142, "3092846870422363": 142, "3020615577697754": 142, "294861078262329": 142, "2876803874969482": 142, "2805233001708984": 142, "2733855247497559": 142, "2662708759307861": 142, "2591722011566162": 142, "2521772384643555": 142, "2446842193603516": 142, "2376492023468018": 142, "230635404586792": 142, "223562240600586": 142, "2167255878448486": 142, "209791660308838": 142, "2028751373291016": 142, "195972204208374": 142, "1890912055969238": 142, "182227611541748": 142, "1753849983215332": 142, "1685609817504883": 142, "1617560386657715": 142, "1548922061920166": 142, "1481270790100098": 142, "1413795948028564": 142, "1346564292907715": 142, "1279516220092773": 142, "1212701797485352": 142, "1146109104156494": 142, "1079754829406738": 142, "10125732421875": 142, "0946714878082275": 142, "0881168842315674": 142, "0815868377685547": 142, "0751872062683105": 142, "068711280822754": 142, "0622663497924805": 142, "0558488368988037": 142, "0494616031646729": 142, "0432822704315186": 142, "036952018737793": 142, "030653476715088": 142, "0243878364562988": 142, "0181565284729004": 142, "0119571685791016": 142, "0057947635650635": 142, "9996669888496399": 142, "9935763478279114": 142, "987522304058075": 142, "9815060496330261": 142, "9755257964134216": 142, "9699130654335022": 142, "9640061259269714": 142, "9581382870674133": 142, "9523112177848816": 142, "9465213418006897": 142, "941108763217926": 142, "9353983998298645": 142, "9297289252281189": 142, "9240999817848206": 142, "9185096621513367": 142, "9129610657691956": 142, "9074518084526062": 142, "9019822478294373": 142, "8965532183647156": 142, "8911648392677307": 142, "8857315182685852": 142, "8804232478141785": 142, "8751539587974548": 142, "8699261546134949": 142, "8647380471229553": 142, "8595896363258362": 142, "8544828295707703": 142, "8494277596473694": 142, "8444306254386902": 142, "8394899964332581": 142, "8346031308174133": 142, "8297703862190247": 142, "8249908089637756": 142, "8202639222145081": 142, "8155887722969055": 142, "8111856579780579": 142, "8066183924674988": 142, "8021004796028137": 142, "7973265051841736": 142, "7929032444953918": 142, "7885294556617737": 142, "78420490026474": 142, "7798612713813782": 142, "7756349444389343": 142, "7714579701423645": 142, "7673290371894836": 142, "7632467150688171": 142, "7592118382453918": 142, "7552236914634705": 142, "7512810826301575": 142, "7473849654197693": 142, "7435334324836731": 142, "7397273182868958": 142, "7359647154808044": 142, "7322463393211365": 142, "7285699248313904": 142, "724934995174408": 142, "7213413119316101": 142, "7178017497062683": 142, "7142868638038635": 142, "710812509059906": 142, "707375705242157": 142, "7039794325828552": 142, "700619637966156": 142, "6972987055778503": 142, "6940142512321472": 142, "6907654404640198": 142, "6875523924827576": 142, "6843741536140442": 142, "681230366230011": 142, "6781211495399475": 142, "6750463843345642": 142, "6720029711723328": 142, "6690168976783752": 142, "6660347580909729": 142, "6630926728248596": 142, "6601834893226624": 142, "657306969165802": 142, "6544631123542786": 142, "6516508460044861": 142, "648872435092926": 142, "6461254954338074": 142, "643410861492157": 142, "6407282948493958": 142, "6380767226219177": 142, "6354578137397766": 142, "632869303226471": 142, "6303122639656067": 142, "6277853846549988": 142, "6252903342247009": 142, "6228269934654236": 142, "6205845475196838": 142, "6178796887397766": 142, "615505039691925": 142, "6131609082221985": 142, "6106340289115906": 142, "6083502173423767": 142, "6060940623283386": 142, "6038646101951599": 142, "6016640067100525": 142, "5994897484779358": 142, "5973421931266785": 142, "5952218174934387": 142, "5931257605552673": 142, "5910560488700867": 142, "589129626750946": 142, "5871087908744812": 142, "5847979187965393": 142, "5828242897987366": 142, "5816835761070251": 142, "5797811150550842": 142, "5779021382331848": 142, "5760449767112732": 142, "5739455819129944": 142, "572367250919342": 142, "5705750584602356": 142, "5688026547431946": 142, "567050039768219": 142, "565317690372467": 142, "5636784434318542": 142, "5619832873344421": 142, "5603076815605164": 142, "5586503148078918": 142, "5570421814918518": 142, "5554232001304626": 142, "553820788860321": 142, "5522344708442688": 142, "5506654381752014": 142, "5491122603416443": 142, "5475767254829407": 142, "5460568070411682": 142, "544553816318512": 142, "5430663228034973": 142, "5415956377983093": 142, "5401412844657898": 142, "5386473536491394": 142, "5372242331504822": 142, "5358178019523621": 142, "5338779091835022": 142, "5325321555137634": 142, "531202495098114": 142, "5298884510993958": 142, "5285887122154236": 142, "5271995663642883": 142, "5259312987327576": 142, "5246792435646057": 142, "5234413743019104": 142, "5222204327583313": 142, "5210148692131042": 142, "5198238492012024": 142, "5186495184898376": 142, "5174896121025085": 142, "5163450837135315": 142, "51527339220047": 142, "514163076877594": 142, "5130650401115417": 142, "5119826197624207": 142, "5109123587608337": 142, "5098559260368347": 142, "5088130831718445": 142, "5077827572822571": 142, "5067656636238098": 142, "505760133266449": 142, "5047668814659119": 142, "5037023425102234": 142, "5027311444282532": 142, "5017724633216858": 142, "5008249878883362": 142, "4998881220817566": 142, "49896174669265747": 142, "49804598093032837": 142, "4971403479576111": 142, "4962450861930847": 142, "49535995721817017": 142, "49448448419570923": 142, "4936179518699646": 142, "49276119470596313": 142, "4919136166572571": 142, "4910741448402405": 142, "4902448058128357": 142, "48942357301712036": 142, "48861128091812134": 142, "4878078103065491": 142, "4870125651359558": 142, "48622530698776245": 142, "4854455590248108": 142, "48467427492141724": 142, "48391085863113403": 142, "48244065046310425": 142, "48169296979904175": 142, "001024163793772459": 142, "008245985023677349": 142, "006460289470851421": 142, "03231975808739662": 142, "065122589468956": 142, "03020394779741764": 142, "0006684186519123614": 142, "014049211516976357": 142, "026413235813379288": 142, "02937242016196251": 142, "011225312948226929": 142, "014177896082401276": 142, "002961154095828533": 142, "008338863030076027": 142, "0026507710572332144": 142, "003140474436804652": 142, "004289709497243166": 142, "0010181827237829566": 142, "0070217386819422245": 142, "011134563945233822": 142, "007588030304759741": 142, "046104129403829575": 142, "07238021492958069": 142, "0491507314145565": 142, "00661991024389863": 142, "007022949866950512": 142, "0022219913080334663": 142, "025543907657265663": 142, "02299739606678486": 142, "0069852122105658054": 142, "018504446372389793": 142, "019811149686574936": 142, "044877517968416214": 142, "00755319744348526": 142, "006098087411373854": 142, "0017461497336626053": 142, "0027253394946455956": 142, "006277711130678654": 142, "015567419119179249": 142, "00543762743473053": 142, "006778562907129526": 142, "004439938347786665": 142, "011106404475867748": 142, "008679157122969627": 142, "0030688000842928886": 142, "0006841874564997852": 142, "0009120928007178009": 142, "008510593324899673": 142, "022106312215328217": 142, "026758193969726562": 142, "04922542721033096": 142, "0008492792258039117": 142, "006486251950263977": 142, "0019911467097699642": 142, "027784036472439766": 142, "04312939941883087": 142, "0639268308877945": 142, "07767071574926376": 142, "2442452609539032": 142, "114267997443676": 142, "8201520442962646": 142, "01367359608411789": 142, "92405128479004": 142, "3565146923065186": 142, "3988244533538818": 142, "7850284576416": 142, "8345937728881836": 142, "7977638244628906": 142, "941299438476562": 142, "3820340633392334": 142, "237578392028809": 142, "804264068603516": 142, "8084053993225098": 142, "642841339111328": 142, "885103225708008": 142, "3778233528137207": 142, "043247222900391": 142, "811752319335938": 142, "589736461639404": 142, "03814040124416351": 142, "957731246948242": 142, "297475337982178": 142, "368903398513794": 142, "062942504882812": 142, "607398986816406": 142, "8063783645629883": 142, "940845489501953": 142, "222094535827637": 142, "279110431671143": 142, "812929153442383": 142, "636165142059326": 142, "653973579406738": 142, "885780334472656": 142, "205127239227295": 142, "032425880432129": 142, "827421188354492": 142, "432942390441895": 142, "008303996175527573": 142, "87958335876465": 142, "072840213775635": 142, "4125220775604248": 142, "8320255279541": 142, "442709922790527": 142, "8264365196228027": 142, "88041877746582": 142, "049787521362305": 142, "246860504150391": 142, "8179988861084": 142, "450820922851562": 142, "642731666564941": 142, "879457473754883": 142, "045034408569336": 142, "040560722351074": 142, "822717666625977": 142, "029969692230225": 142, "605682611465454": 142, "008590698242188": 142, "1218574047088623": 142, "2675650119781494": 142, "16434097290039": 142, "8977976441383362": 142, "397047996520996": 142, "384904146194458": 142, "3744685649871826": 142, "355147123336792": 142, "345973014831543": 142, "336749792098999": 142, "3277428150177002": 142, "3188481330871582": 142, "3103163242340088": 142, "3016109466552734": 142, "2931063175201416": 142, "2845289707183838": 142, "2762036323547363": 142, "2680485248565674": 142, "2600302696228027": 142, "2521717548370361": 142, "2445952892303467": 142, "237226963043213": 142, "23036789894104": 142, "2233855724334717": 142, "216611385345459": 142, "210146427154541": 142, "203721046447754": 142, "1974866390228271": 142, "191354513168335": 142, "1853656768798828": 142, "1795103549957275": 142, "1737847328186035": 142, "1681818962097168": 142, "1628501415252686": 142, "1575047969818115": 142, "1520745754241943": 142, "146949291229248": 142, "1417832374572754": 142, "1368393898010254": 142, "1312642097473145": 142, "126495361328125": 142, "117215871810913": 142, "1127002239227295": 142, "1082637310028076": 142, "1039087772369385": 142, "0996310710906982": 142, "0954315662384033": 142, "0911831855773926": 142, "0871148109436035": 142, "0831515789031982": 142, "0792639255523682": 142, "0754547119140625": 142, "0717246532440186": 142, "0679659843444824": 142, "0643808841705322": 142, "0608844757080078": 142, "0577597618103027": 142, "0544166564941406": 142, "05116605758667": 142, "0479810237884521": 142, "0448739528656006": 142, "0418365001678467": 142, "0388522148132324": 142, "035961627960205": 142, "0331447124481201": 142, "0303940773010254": 142, "0277185440063477": 142, "0251119136810303": 142, "0225756168365479": 142, "0201103687286377": 142, "0177230834960938": 142, "0153348445892334": 142, "0130531787872314": 142, "0108988285064697": 142, "0088350772857666": 142, "0068275928497314": 142, "0048887729644775": 142, "0030181407928467": 142, "0012147426605225": 142, "9994800686836243": 142, "9977486729621887": 142, "9961370825767517": 142, "9945865273475647": 142, "9930961728096008": 142, "9916598200798035": 142, "9902811646461487": 142, "988952100276947": 142, "9876717925071716": 142, "9874215722084045": 142, "9862399697303772": 142, "9850991368293762": 142, "9839956164360046": 142, "9830138087272644": 142, "9819815754890442": 142, "980985701084137": 142, "9800190329551697": 142, "9790824055671692": 142, "978173553943634": 142, "9772933125495911": 142, "9764403700828552": 142, "9756098389625549": 142, "9740229249000549": 142, "9732621312141418": 142, "9725698828697205": 142, "9718524813652039": 142, "9711554646492004": 142, "9704768061637878": 142, "9698167443275452": 142, "9690694212913513": 142, "9684428572654724": 142, "9678358435630798": 142, "967244565486908": 142, "9666681885719299": 142, "9661088585853577": 142, "9661269783973694": 142, "9655802845954895": 142, "9653105139732361": 142, "9647895693778992": 142, "9642811417579651": 142, "9637821316719055": 142, "963296115398407": 142, "9628167748451233": 142, "9623478055000305": 142, "9618918299674988": 142, "9614455103874207": 142, "9610068202018738": 142, "9605811238288879": 142, "9601626992225647": 142, "9597405791282654": 142, "959338366985321": 142, "9589454531669617": 142, "9585580229759216": 142, "958179771900177": 142, "9578080773353577": 142, "9574422240257263": 142, "9570837616920471": 142, "9567278027534485": 142, "9563782811164856": 142, "956034243106842": 142, "9556909203529358": 142, "955352246761322": 142, "9550190567970276": 142, "9545106291770935": 142, "9541824460029602": 142, "9538549780845642": 142, "9535310864448547": 142, "953212559223175": 142, "9528955817222595": 142, "9525806307792664": 142, "9522711634635925": 142, "9519639611244202": 142, "9516579508781433": 142, "9513569474220276": 142, "9510584473609924": 142, "950659453868866": 142, "9503660798072815": 142, "9500483870506287": 142, "9497604966163635": 142, "9494765400886536": 142, "9491958022117615": 142, "9489193558692932": 142, "9486458897590637": 142, "9483776688575745": 142, "948112428188324": 142, "9478521943092346": 142, "947594940662384": 142, "9470120072364807": 142, "9467601180076599": 142, "946512758731842": 142, "946268618106842": 142, "9460282921791077": 142, "9457899928092957": 142, "9455549120903015": 142, "9453213810920715": 142, "9450886845588684": 142, "9448575377464294": 142, "9446271061897278": 142, "9440132975578308": 142, "9437846541404724": 142, "9435047507286072": 142, "943275511264801": 142, "9430451989173889": 142, "9428151249885559": 142, "9425832629203796": 142, "942350447177887": 142, "9421142935752869": 142, "941877543926239": 142, "9416369795799255": 142, "9413947463035583": 142, "9411483407020569": 142, "9406995177268982": 142, "9404504895210266": 142, "940199077129364": 142, "9399464726448059": 142, "9396894574165344": 142, "9394310116767883": 142, "9391680359840393": 142, "9389024376869202": 142, "9386369585990906": 142, "9383650422096252": 142, "9376906752586365": 142, "9374150633811951": 142, "937136709690094": 142, "9368569254875183": 142, "9365746378898621": 142, "9363628029823303": 142, "9360780119895935": 142, "9357886910438538": 142, "9354978203773499": 142, "9352664351463318": 142, "9349744915962219": 142, "9346800446510315": 142, "93438321352005": 142, "9340885281562805": 142, "9337902665138245": 142, "933491051197052": 142, "9331938624382019": 142, "932891309261322": 142, "9325907826423645": 142, "9322866797447205": 142, "9319828152656555": 142, "9316745400428772": 142, "9313684105873108": 142, "9310572743415833": 142, "9307442307472229": 142, "9303258061408997": 142, "93000727891922": 142, "9296868443489075": 142, "929361879825592": 142, "9290329813957214": 142, "9287016987800598": 142, "9283656477928162": 142, "9280262589454651": 142, "9276825785636902": 142, "9273349642753601": 142, "9269821047782898": 142, "9266259074211121": 142, "9262650609016418": 142, "9259005188941956": 142, "9255303740501404": 142, "9251996874809265": 142, "9248194098472595": 142, "9244349598884583": 142, "92404705286026": 142, "9236523509025574": 142, "9232550263404846": 142, "9228532910346985": 142, "9224477410316467": 142, "9220381379127502": 142, "9216259121894836": 142, "9212111830711365": 142, "92079097032547": 142, "9203677773475647": 142, "9199422001838684": 142, "9195141196250916": 142, "9190834164619446": 142, "9186493754386902": 142, "9182127118110657": 142, "9177740216255188": 142, "9173341393470764": 142, "9168899655342102": 142, "9164460301399231": 142, "9160012602806091": 142, "9155520796775818": 142, "9151017069816589": 142, "9146509766578674": 142, "9141990542411804": 142, "9137429594993591": 142, "9131311774253845": 142, "9127424359321594": 142, "9122816920280457": 142, "9119177460670471": 142, "9114521145820618": 142, "9109852910041809": 142, "9105158448219299": 142, "9100458025932312": 142, "9095752835273743": 142, "9091030955314636": 142, "908630907535553": 142, "9081546664237976": 142, "9076781868934631": 142, "9071996808052063": 142, "9067202210426331": 142, "9062383770942688": 142, "9057543873786926": 142, "905268132686615": 142, "9047817587852478": 142, "9042921662330627": 142, "9038003087043762": 142, "9033077359199524": 142, "9028136134147644": 142, "9023179411888123": 142, "9018197655677795": 142, "9013209939002991": 142, "9008216261863708": 142, "9003204703330994": 142, "8998175263404846": 142, "899314820766449": 142, "8988096117973328": 142, "8983027338981628": 142, "015426545403897762": 142, "0033334800973534584": 142, "02202140912413597": 142, "1119983121752739": 142, "012744012288749218": 142, "1617070585489273": 142, "0035492407623678446": 142, "010005980730056763": 142, "011475658975541592": 142, "027001522481441498": 142, "012804037891328335": 142, "1224115639925003": 142, "0072906059212982655": 142, "0024249290581792593": 142, "04909560829401016": 142, "023772303014993668": 142, "00995263084769249": 142, "11035336554050446": 142, "06609951704740524": 142, "04457448422908783": 142, "03596116229891777": 142, "03741466626524925": 142, "03875577077269554": 142, "1339598149061203": 142, "04368502274155617": 142, "016704393550753593": 142, "0033607350196689367": 142, "002534806728363037": 142, "05084079131484032": 142, "10963010042905807": 142, "002133688423782587": 142, "014726631343364716": 142, "04859713837504387": 142, "019788959994912148": 142, "017548324540257454": 142, "09400171786546707": 142, "04314127936959267": 142, "007880950346589088": 142, "058369699865579605": 142, "007946859113872051": 142, "002777986228466034": 142, "08309116959571838": 142, "03544105216860771": 142, "007728827651590109": 142, "05956225097179413": 142, "0008491990738548338": 142, "011361455544829369": 142, "09914348274469376": 142, "010308338329195976": 142, "002033886732533574": 142, "05409795045852661": 142, "00145959563087672": 142, "010939456522464752": 142, "09405811131000519": 142, "05995164439082146": 142, "061280760914087296": 142, "018218468874692917": 142, "017880383878946304": 142, "03790826350450516": 142, "1872587949037552": 142, "8156797885894775": 142, "001381437061354518": 142, "892608642578125": 142, "4348691701889038": 142, "4201388359069824": 142, "846399307250977": 142, "8165106773376465": 142, "8268885612487793": 142, "90070152282715": 142, "424344778060913": 142, "256438732147217": 142, "8330135345459": 142, "811821937561035": 142, "659018516540527": 142, "88671875": 142, "423646092414856": 142, "066926002502441": 142, "844850540161133": 142, "655498504638672": 142, "031884148716926575": 142, "9388370513916": 142, "201133728027344": 142, "413134217262268": 142, "8282470703125": 142, "665722370147705": 142, "8341493606567383": 142, "96477699279785": 142, "189964771270752": 142, "267152786254883": 142, "818077087402344": 142, "650832176208496": 142, "653240203857422": 142, "92730140686035": 142, "210639953613281": 142, "071052551269531": 142, "843141555786133": 142, "442025184631348": 142, "03294730931520462": 142, "94559097290039": 142, "089883804321289": 142, "327718734741211": 142, "018905639648438": 142, "438333511352539": 142, "8353431224823": 142, "957496643066406": 142, "060373306274414": 142, "420598030090332": 142, "982229232788086": 142, "438443183898926": 142, "649101734161377": 142, "935152053833008": 142, "041594505310059": 142, "099824905395508": 142, "879316329956055": 142, "922032356262207": 142, "910428762435913": 142, "456830978393555": 142, "757584095001221": 142, "9247066974639893": 142, "973058700561523": 142, "4305568337440491": 142, "1805553436279297": 142, "165156602859497": 142, "1534702777862549": 142, "1421749591827393": 142, "1314449310302734": 142, "122023344039917": 142, "112436056137085": 142, "1033899784088135": 142, "0945508480072021": 142, "086212158203125": 142, "0779259204864502": 142, "068485975265503": 142, "0605247020721436": 142, "0526683330535889": 142, "0450940132141113": 142, "0377216339111328": 142, "030444622039795": 142, "0233376026153564": 142, "0165526866912842": 142, "0096471309661865": 142, "0029003620147705": 142, "9962654709815979": 142, "9897343516349792": 142, "9831843972206116": 142, "9768422245979309": 142, "9705926775932312": 142, "9644933342933655": 142, "9584206938743591": 142, "9523876309394836": 142, "9460126757621765": 142, "9401713013648987": 142, "9344313740730286": 142, "9287686944007874": 142, "9231820702552795": 142, "9176291823387146": 142, "9121904969215393": 142, "9067085385322571": 142, "9014039635658264": 142, "8961687684059143": 142, "8909013867378235": 142, "885795533657074": 142, "8807529807090759": 142, "8757738471031189": 142, "8708582520484924": 142, "8660208582878113": 142, "8612266182899475": 142, "8563471436500549": 142, "8515751957893372": 142, "8470026850700378": 142, "8424400687217712": 142, "8379749655723572": 142, "8335235714912415": 142, "8291235566139221": 142, "8248034119606018": 142, "8205035328865051": 142, "8162530064582825": 142, "8120165467262268": 142, "8078636527061462": 142, "8037615418434143": 142, "7997984290122986": 142, "7957324385643005": 142, "7917757630348206": 142, "7878666520118713": 142, "7840009331703186": 142, "7801796793937683": 142, "7765104174613953": 142, "772778332233429": 142, "768960177898407": 142, "7653115391731262": 142, "7617048621177673": 142, "758137047290802": 142, "7546097636222839": 142, "7511236071586609": 142, "7476739287376404": 142, "7442650198936462": 142, "7408937811851501": 142, "7375596165657043": 142, "7342613339424133": 142, "731002151966095": 142, "7277764678001404": 142, "7245859503746033": 142, "7214310765266418": 142, "7183211445808411": 142, "715232789516449": 142, "7121798396110535": 142, "7091585993766785": 142, "7063027024269104": 142, "7033483386039734": 142, "7004260420799255": 142, "6975367665290833": 142, "6946776509284973": 142, "6918496489524841": 142, "6889223456382751": 142, "6861549019813538": 142, "6834158301353455": 142, "6807060837745667": 142, "6780263781547546": 142, "6753730177879333": 142, "6727483868598938": 142, "6701505780220032": 142, "6676257252693176": 142, "6651067137718201": 142, "6627325415611267": 142, "6602433323860168": 142, "6577797532081604": 142, "6553394198417664": 142, "652923047542572": 142, "6505109667778015": 142, "6481409668922424": 142, "6457942128181458": 142, "6434691548347473": 142, "6411686539649963": 142, "6388882994651794": 142, "6366288065910339": 142, "6343920826911926": 142, "6321744322776794": 142, "6300113797187805": 142, "627833902835846": 142, "625674307346344": 142, "623538076877594": 142, "6214192509651184": 142, "6193200945854187": 142, "6172394156455994": 142, "6151793599128723": 142, "6131355166435242": 142, "611110508441925": 142, "608825147151947": 142, "6068322062492371": 142, "6048576235771179": 142, "6028247475624084": 142, "6008849740028381": 142, "5989612936973572": 142, "5970554947853088": 142, "5951676964759827": 142, "593298614025116": 142, "591487467288971": 142, "5896527171134949": 142, "5878342986106873": 142, "5860657095909119": 142, "5842835307121277": 142, "5825163722038269": 142, "5807668566703796": 142, "5790337920188904": 142, "5773181319236755": 142, "57561856508255": 142, "5739358067512512": 142, "5722704529762268": 142, "5706194043159485": 142, "5689701437950134": 142, "567350447177887": 142, "565746009349823": 142, "5641565918922424": 142, "5625819563865662": 142, "5610244870185852": 142, "5594791769981384": 142, "5579913258552551": 142, "5564747452735901": 142, "5549713969230652": 142, "5534816384315491": 142, "5520063042640686": 142, "5505439639091492": 142, "549096405506134": 142, "5476579070091248": 142, "5462343096733093": 142, "5448220372200012": 142, "5434221625328064": 142, "542033851146698": 142, "5406566262245178": 142, "5392914414405823": 142, "5379363894462585": 142, "5365931391716003": 142, "5352583527565002": 142, "5339363217353821": 142, "5326234698295593": 142, "5313208699226379": 142, "5300280451774597": 142, "5286235213279724": 142, "5273512005805969": 142, "5260874629020691": 142, "5248323082923889": 142, "5235864520072937": 142, "5223488211631775": 142, "5211198925971985": 142, "519900381565094": 142, "5186892151832581": 142, "5174856781959534": 142, "5162907242774963": 142, "5149427056312561": 142, "513763964176178": 142, "5125934481620789": 142, "5114304423332214": 142, "5102757811546326": 142, "5092242360115051": 142, "5080835223197937": 142, "5069497227668762": 142, "5056717991828918": 142, "5045550465583801": 142, "5034460425376892": 142, "5023455023765564": 142, "5012534260749817": 142, "5001655220985413": 142, "4990859627723694": 142, "4980136752128601": 142, "49695008993148804": 142, "49574047327041626": 142, "494689404964447": 142, "49364596605300903": 142, "4926087260246277": 142, "49157947301864624": 142, "4905572533607483": 142, "4895443320274353": 142, "488536536693573": 142, "48753637075424194": 142, "4865444302558899": 142, "48463577032089233": 142, "48366445302963257": 142, "48270004987716675": 142, "48174434900283813": 142, "4807942509651184": 142, "4798538088798523": 142, "47892147302627563": 142, "47799593210220337": 142, "4770790934562683": 142, "47616881132125854": 142, "47526758909225464": 142, "47437578439712524": 142, "4734908938407898": 142, "47261399030685425": 142, "47174638509750366": 142, "470885694026947": 142, "4701243042945862": 142, "4692818522453308": 142, "46844547986984253": 142, "4679364562034607": 142, "4671180844306946": 142, "4663086533546448": 142, "4655076861381531": 142, "46471601724624634": 142, "46393293142318726": 142, "4631583094596863": 142, "46239274740219116": 142, "46163636445999146": 142, "4608878493309021": 142, "46044355630874634": 142, "45971399545669556": 142, "4589924216270447": 142, "4583013653755188": 142, "45759421586990356": 142, "4568977952003479": 142, "45620840787887573": 142, "45552700757980347": 142, "4548552632331848": 142, "4541923403739929": 142, "4535365700721741": 142, "45288950204849243": 142, "4522084593772888": 142, "4515780806541443": 142, "4509548544883728": 142, "45033925771713257": 142, "4497310519218445": 142, "4491294026374817": 142, "4485355019569397": 142, "4479476809501648": 142, "4473680853843689": 142, "4467948079109192": 142, "4460487961769104": 142, "4456515908241272": 142, "44509822130203247": 142, "44455140829086304": 142, "4440472722053528": 142, "44351381063461304": 142, "44298630952835083": 142, "442465603351593": 142, "4421476721763611": 142, "44163817167282104": 142, "44110435247421265": 142, "44060200452804565": 142, "4401116967201233": 142, "43957942724227905": 142, "4391011595726013": 142, "43862849473953247": 142, "4381621479988098": 142, "4377010464668274": 142, "4372459053993225": 142, "43679648637771606": 142, "4363510012626648": 142, "4359120726585388": 142, "4353561997413635": 142, "43492943048477173": 142, "43450671434402466": 142, "43409043550491333": 142, "43367892503738403": 142, "4332720637321472": 142, "432870090007782": 142, "4324726462364197": 142, "43208032846450806": 142, "43169206380844116": 142, "4313097596168518": 142, "4309313893318176": 142, "0007065678364597261": 142, "005399547982960939": 142, "0009708970319479704": 142, "019441261887550354": 142, "004236429929733276": 142, "03445376083254814": 142, "723272675415501e": 142, "00434599444270134": 142, "0005617171409539878": 142, "009603974409401417": 142, "0004388342204038054": 142, "04799243062734604": 142, "003220896003767848": 142, "005315057002007961": 142, "00884847529232502": 142, "005240294151008129": 142, "0025318374391645193": 142, "031599465757608414": 142, "014002702198922634": 142, "018324967473745346": 142, "02526986598968506": 142, "012668880634009838": 142, "0059151416644454": 142, "04437371343374252": 142, "004751821514219046": 142, "00446894159540534": 142, "0046684639528393745": 142, "030105093494057655": 142, "005977757275104523": 142, "05221157893538475": 142, "0031686739530414343": 142, "0014829483116045594": 142, "002437202027067542": 142, "002434255089610815": 142, "8318974071007688e": 142, "03198644891381264": 142, "009477692656219006": 142, "013838425278663635": 142, "021310878917574883": 142, "035394396632909775": 142, "02157471515238285": 142, "07842621207237244": 142, "0041694301180541515": 142, "0018523370381444693": 142, "005298356991261244": 142, "018127553164958954": 142, "10854648798704147": 142, "0209993626922369": 142, "016258489340543747": 142, "009220138192176819": 142, "01237442996352911": 142, "0016991663724184036": 142, "033546082675457": 142, "028577255085110664": 142, "09224119037389755": 142, "11272195726633072": 142, "05321003496646881": 142, "011202787049114704": 142, "012922810390591621": 142, "09892528504133224": 142, "818767786026001": 142, "004493786953389645": 142, "89743423461914": 142, "3954782485961914": 142, "3896013498306274": 142, "8338565826416": 142, "807098388671875": 142, "8483548164367676": 142, "95915985107422": 142, "2083765268325806": 142, "227790355682373": 142, "037261962890625": 142, "8041508197784424": 142, "616301536560059": 142, "95884895324707": 142, "390302300453186": 142, "087913990020752": 142, "81954574584961": 142, "642336368560791": 142, "005327112507075071": 142, "888240814208984": 142, "233991622924805": 142, "3918291330337524": 142, "831209182739258": 142, "621644496917725": 142, "8424558639526367": 142, "932283401489258": 142, "268308639526367": 142, "236567974090576": 142, "98617172241211": 142, "6210408210754395": 142, "631757736206055": 142, "9216365814209": 142, "2322096824646": 142, "075120449066162": 142, "826990127563477": 142, "451659202575684": 142, "01256604678928852": 142, "887983322143555": 142, "038309574127197": 142, "4006953239440918": 142, "83851432800293": 142, "477887153625488": 142, "8548898696899414": 142, "953453063964844": 142, "99683952331543": 142, "24245023727417": 142, "87217903137207": 142, "466658592224121": 142, "631487846374512": 142, "931203842163086": 142, "073512554168701": 142, "831756591796875": 142, "5975399017333984": 142, "324336051940918": 142, "56450843811035": 142, "5550107955932617": 142, "26940393447876": 142, "842178344726562": 142, "5018922686576843": 142, "207524061203003": 142, "1950535774230957": 142, "1859848499298096": 142, "1775288581848145": 142, "1692025661468506": 142, "161008596420288": 142, "1527409553527832": 142, "1450839042663574": 142, "1369590759277344": 142, "1290411949157715": 142, "1210215091705322": 142, "1131658554077148": 142, "1054878234863281": 142, "0977914333343506": 142, "0900204181671143": 142, "0821068286895752": 142, "0744597911834717": 142, "0668091773986816": 142, "0594260692596436": 142, "0523366928100586": 142, "045480728149414": 142, "038708209991455": 142, "032374382019043": 142, "0262486934661865": 142, "02028226852417": 142, "0145268440246582": 142, "0090410709381104": 142, "0036311149597168": 142, "9982298016548157": 142, "993143618106842": 142, "9881935715675354": 142, "9833613038063049": 142, "9787300229072571": 142, "9741820693016052": 142, "969755232334137": 142, "9655880331993103": 142, "9613237977027893": 142, "9572368264198303": 142, "9532553553581238": 142, "9493754506111145": 142, "9455994963645935": 142, "941973865032196": 142, "9383880496025085": 142, "9348989129066467": 142, "9313153624534607": 142, "9279976487159729": 142, "9247646927833557": 142, "9222604632377625": 142, "919165313243866": 142, "9161698222160339": 142, "9132471680641174": 142, "9103203415870667": 142, "9076533913612366": 142, "9050412774085999": 142, "9025048613548279": 142, "9000547528266907": 142, "8976889252662659": 142, "8954010605812073": 142, "8931627869606018": 142, "8908025622367859": 142, "888816773891449": 142, "8867198824882507": 142, "8847704529762268": 142, "8828813433647156": 142, "881044328212738": 142, "8792571425437927": 142, "8775158524513245": 142, "8758184313774109": 142, "8741610646247864": 142, "8726415038108826": 142, "8710228800773621": 142, "8695607781410217": 142, "8680362105369568": 142, "8664315342903137": 142, "8649607300758362": 142, "8635132908821106": 142, "8620838522911072": 142, "8606708645820618": 142, "8593030571937561": 142, "8579185605049133": 142, "8565433621406555": 142, "8551792502403259": 142, "8538233637809753": 142, "8524762988090515": 142, "8511341214179993": 142, "8498000502586365": 142, "8484700322151184": 142, "8469979166984558": 142, "8456729054450989": 142, "844352662563324": 142, "843035876750946": 142, "8417232632637024": 142, "8404706120491028": 142, "8391641974449158": 142, "8378604054450989": 142, "836560070514679": 142, "8351114392280579": 142, "8338165879249573": 142, "8325260281562805": 142, "8312122225761414": 142, "8299238085746765": 142, "8286375403404236": 142, "8273548483848572": 142, "8260727524757385": 142, "8247944712638855": 142, "8235176205635071": 142, "8222429156303406": 142, "8209698796272278": 142, "8188825249671936": 142, "8176102042198181": 142, "8163383603096008": 142, "8150679469108582": 142, "8137986063957214": 142, "8125281929969788": 142, "8112596869468689": 142, "8100998997688293": 142, "8088273406028748": 142, "8075540661811829": 142, "8062782883644104": 142, "8050010800361633": 142, "8037192225456238": 142, "8024353384971619": 142, "8011471629142761": 142, "7998562455177307": 142, "7985594868659973": 142, "7972603440284729": 142, "7959572672843933": 142, "7946489453315735": 142, "7933350205421448": 142, "79201740026474": 142, "7906357645988464": 142, "7893056273460388": 142, "7879710793495178": 142, "7866314053535461": 142, "785287082195282": 142, "7839381098747253": 142, "7825854420661926": 142, "7812281250953674": 142, "779866635799408": 142, "778501570224762": 142, "777133047580719": 142, "7757599949836731": 142, "7743844389915466": 142, "773004949092865": 142, "7716212868690491": 142, "7702334523200989": 142, "7688435912132263": 142, "7674490809440613": 142, "7669323086738586": 142, "7655425667762756": 142, "7641510367393494": 142, "7627556920051575": 142, "7613562941551208": 142, "7605096697807312": 142, "7591015696525574": 142, "7576882243156433": 142, "756269633769989": 142, "7548472285270691": 142, "7534177899360657": 142, "7519823908805847": 142, "7505406737327576": 142, "7490918040275574": 142, "747636616230011": 142, "7461735606193542": 142, "7447031140327454": 142, "7433556914329529": 142, "7418702244758606": 142, "7403771281242371": 142, "7388748526573181": 142, "737363874912262": 142, "7358458638191223": 142, "7343177199363708": 142, "7328475117683411": 142, "7313032746315002": 142, "7297500967979431": 142, "728187620639801": 142, "7266164422035217": 142, "7250353693962097": 142, "72344571352005": 142, "7218461632728577": 142, "7202381491661072": 142, "718620240688324": 142, "7169932723045349": 142, "7153562903404236": 142, "7137108445167542": 142, "711799681186676": 142, "7100006937980652": 142, "7083286643028259": 142, "7066484093666077": 142, "7049594521522522": 142, "703262984752655": 142, "7015590071678162": 142, "6998488306999207": 142, "6981313824653625": 142, "6964076161384583": 142, "6946931481361389": 142, "6929611563682556": 142, "6912241578102112": 142, "6894816756248474": 142, "6877347826957703": 142, "6859834790229797": 142, "6842285990715027": 142, "6824700236320496": 142, "6807071566581726": 142, "6789410710334778": 142, "6770539879798889": 142, "6752757430076599": 142, "6734940409660339": 142, "6717086434364319": 142, "6698822379112244": 142, "6680966019630432": 142, "6663056015968323": 142, "6645097136497498": 142, "6627072691917419": 142, "6609001755714417": 142, "6590885519981384": 142, "6572718024253845": 142, "6554511189460754": 142, "6536257863044739": 142, "6518661379814148": 142, "6500346064567566": 142, "6481456160545349": 142, "6463084816932678": 142, "644467294216156": 142, "6426262259483337": 142, "6407830119132996": 142, "638938844203949": 142, "6371600031852722": 142, "6353160738945007": 142, "6334714293479919": 142, "6316259503364563": 142, "6297792792320251": 142, "6279308199882507": 142, "6260822415351868": 142, "6242319941520691": 142, "6223781704902649": 142, "6205237507820129": 142, "6186657547950745": 142, "6168064475059509": 142, "6149434447288513": 142, "6130771040916443": 142, "611208975315094": 142, "609338104724884": 142, "6075015664100647": 142, "6056244969367981": 142, "6037450432777405": 142, "6018630862236023": 142, "599979817867279": 142, "5980933308601379": 142, "596203625202179": 142, "594312846660614": 142, "5924188494682312": 142, "5905235409736633": 142, "5886253714561462": 142, "5867251753807068": 142, "5848221182823181": 142, "5829169154167175": 142, "5810057520866394": 142, "5781295895576477": 142, "5762166380882263": 142, "5743017792701721": 142, "5723870396614075": 142, "5704166293144226": 142, "5684962868690491": 142, "5668128132820129": 142, "5648916363716125": 142, "5629715323448181": 142, "5610520243644714": 142, "5591344237327576": 142, "5572180151939392": 142, "5553051829338074": 142, "5533940196037292": 142, "5514872670173645": 142, "5495831370353699": 142, "5476836562156677": 142, "5457872748374939": 142, "5438777804374695": 142, "5421186089515686": 142, "5402362942695618": 142, "5383582711219788": 142, "5364839434623718": 142, "5346147418022156": 142, "53275066614151": 142, "5308908820152283": 142, "5290367007255554": 142, "5271877646446228": 142, "5253444314002991": 142, "5235061049461365": 142, "5216735005378723": 142, "5198473334312439": 142, "5180279612541199": 142, "5162165760993958": 142, "5144138932228088": 142, "5126197934150696": 142, "5107999444007874": 142, "5090283751487732": 142, "5072694420814514": 142, "5055237412452698": 142, "5037913918495178": 142, "009299610741436481": 142, "0072779469192028046": 142, "01578064076602459": 142, "01676035299897194": 142, "005719475448131561": 142, "052472710609436035": 142, "009421870112419128": 142, "008739777840673923": 142, "003042284632101655": 142, "0012693912722170353": 142, "006204354576766491": 142, "17980815470218658": 142, "011400939896702766": 142, "0008243010379374027": 142, "007234449964016676": 142, "010848105885088444": 142, "04655688628554344": 142, "07914741337299347": 142, "005736873485147953": 142, "001631023595109582": 142, "013421887531876564": 142, "02231348119676113": 142, "008343512192368507": 142, "06326303631067276": 142, "05144444480538368": 142, "019764458760619164": 142, "050736282020807266": 142, "08830124139785767": 142, "036069922149181366": 142, "16378407180309296": 142, "031487833708524704": 142, "006550216116011143": 142, "03581298887729645": 142, "015284230001270771": 142, "00012142555351601914": 142, "06029276177287102": 142, "0008041229448281229": 142, "015592183917760849": 142, "014600989408791065": 142, "003856627270579338": 142, "002552496502175927": 142, "05324876680970192": 142, "07653884589672089": 142, "04741847515106201": 142, "056740373373031616": 142, "030936380848288536": 142, "007279274985194206": 142, "06253743916749954": 142, "040486160665750504": 142, "004383443854749203": 142, "002868245355784893": 142, "0015258397907018661": 142, "004772444721311331": 142, "058486007153987885": 142, "3587089478969574": 142, "03955281525850296": 142, "24329623579978943": 142, "16481176018714905": 142, "1280258148908615": 142, "011373483575880527": 142, "8231093883514404": 142, "014178834855556488": 142, "89725112915039": 142, "3938703536987305": 142, "3576924800872803": 142, "815319061279297": 142, "837165355682373": 142, "836019277572632": 142, "966487884521484": 142, "356431245803833": 142, "24888801574707": 142, "01552391052246": 142, "8314285278320312": 142, "6154680252075195": 142, "949321746826172": 142, "4240169525146484": 142, "059113502502441": 142, "856746673583984": 142, "658168792724609": 142, "024393171072006226": 142, "8853702545166": 142, "2749433517456055": 142, "3347300291061401": 142, "80683708190918": 142, "657069683074951": 142, "8153083324432373": 142, "918872833251953": 142, "425149440765381": 142, "290755271911621": 142, "957555770874023": 142, "646359443664551": 142, "603524684906006": 142, "947696685791016": 142, "2483930587768555": 142, "060220241546631": 142, "845813751220703": 142, "461749076843262": 142, "022446289658546448": 142, "890621185302734": 142, "067127704620361": 142, "3843971490859985": 142, "84077262878418": 142, "49096965789795": 142, "822052478790283": 142, "925029754638672": 142, "112623691558838": 142, "204154014587402": 142, "882596969604492": 142, "499651908874512": 142, "607118129730225": 142, "954809188842773": 142, "071676254272461": 142, "058510780334473": 142, "8497371673584": 142, "0163190364837646": 142, "8017578125": 142, "425691604614258": 142, "125187873840332": 142, "375473499298096": 142, "214750289916992": 142, "5863935351371765": 142, "3840162754058838": 142, "371450424194336": 142, "3596656322479248": 142, "348356008529663": 142, "3375051021575928": 142, "3270831108093262": 142, "317051649093628": 142, "3073704242706299": 142, "2979061603546143": 142, "288726568222046": 142, "2800214290618896": 142, "2713549137115479": 142, "2630231380462646": 142, "254746913909912": 142, "238480567932129": 142, "2306983470916748": 142, "2230103015899658": 142, "2154974937438965": 142, "2080819606781006": 142, "2007882595062256": 142, "1931185722351074": 142, "186048984527588": 142, "1790926456451416": 142, "1722464561462402": 142, "16560959815979": 142, "158975601196289": 142, "1524431705474854": 142, "1460497379302979": 142, "1392896175384521": 142, "132948875427246": 142, "1267848014831543": 142, "1204793453216553": 142, "1144897937774658": 142, "108583927154541": 142, "1028079986572266": 142, "0970654487609863": 142, "0914027690887451": 142, "085824966430664": 142, "0803132057189941": 142, "0750353336334229": 142, "069678544998169": 142, "0644268989562988": 142, "0592083930969238": 142, "054060697555542": 142, "0489859580993652": 142, "0439786911010742": 142, "0389676094055176": 142, "034095048904419": 142, "0292894840240479": 142, "024498462677002": 142, "0198264122009277": 142, "0152170658111572": 142, "0106744766235352": 142, "0059568881988525": 142, "0014665126800537": 142, "9971216320991516": 142, "9916637539863586": 142, "9873730540275574": 142, "9832212328910828": 142, "9791161417961121": 142, "9750803112983704": 142, "9711307883262634": 142, "9672147631645203": 142, "9633566737174988": 142, "9595535397529602": 142, "9557955861091614": 142, "9531990885734558": 142, "949553906917572": 142, "945964515209198": 142, "9424272179603577": 142, "9389426112174988": 142, "9355096220970154": 142, "9321271777153015": 142, "9289018511772156": 142, "9256158471107483": 142, "9223831295967102": 142, "9191974997520447": 142, "9160599112510681": 142, "912968099117279": 142, "9099231362342834": 142, "9069214463233948": 142, "9039531350135803": 142, "901039183139801": 142, "8981671929359436": 142, "8953374028205872": 142, "892484724521637": 142, "8897376656532288": 142, "887029230594635": 142, "8843606114387512": 142, "8817294239997864": 142, "8791359066963196": 142, "8765783905982971": 142, "8740569949150085": 142, "8715700507164001": 142, "8691173195838928": 142, "8666988015174866": 142, "8643121123313904": 142, "8619583249092102": 142, "8596357703208923": 142, "857341468334198": 142, "8550768494606018": 142, "8528408408164978": 142, "8505941033363342": 142, "8487086892127991": 142, "8465490937232971": 142, "8444154858589172": 142, "8423054814338684": 142, "8402203917503357": 142, "8381564021110535": 142, "8361164927482605": 142, "8340978026390076": 142, "8320942521095276": 142, "8303192257881165": 142, "8283607363700867": 142, "8270235657691956": 142, "8251050114631653": 142, "8229942917823792": 142, "8211129307746887": 142, "8192048668861389": 142, "8173597455024719": 142, "8155305981636047": 142, "8137180209159851": 142, "8119199872016907": 142, "8101368546485901": 142, "8083688616752625": 142, "8066138625144958": 142, "8048737645149231": 142, "8031472563743591": 142, "8014323115348816": 142, "7996845841407776": 142, "797996461391449": 142, "796320378780365": 142, "7946569323539734": 142, "7930040955543518": 142, "7913637757301331": 142, "7897345423698425": 142, "7881153225898743": 142, "7865056395530701": 142, "7849083542823792": 142, "7833208441734314": 142, "7817421555519104": 142, "7801719307899475": 142, "7786768078804016": 142, "7771229147911072": 142, "7755786776542664": 142, "7740411162376404": 142, "772513210773468": 142, "7709922194480896": 142, "7694782614707947": 142, "7672470211982727": 142, "7657553553581238": 142, "7642690539360046": 142, "7627901434898376": 142, "7613173127174377": 142, "7598503232002258": 142, "758389413356781": 142, "7569347023963928": 142, "7554848790168762": 142, "7540406584739685": 142, "7526018023490906": 142, "7511674761772156": 142, "7497383952140808": 142, "7483139634132385": 142, "7468939423561096": 142, "745300829410553": 142, "7438871264457703": 142, "7424784302711487": 142, "7410741448402405": 142, "7396737933158875": 142, "7382212281227112": 142, "7368304133415222": 142, "7354432940483093": 142, "734059751033783": 142, "7326797842979431": 142, "7313048243522644": 142, "7299327254295349": 142, "7285662293434143": 142, "7272034287452698": 142, "7256467938423157": 142, "7242917418479919": 142, "7229412198066711": 142, "7215952277183533": 142, "7202532887458801": 142, "7189310193061829": 142, "7175969481468201": 142, "7162672877311707": 142, "7149402499198914": 142, "7136163115501404": 142, "7121894955635071": 142, "7108758091926575": 142, "7097726464271545": 142, "708469569683075": 142, "7071695923805237": 142, "705871045589447": 142, "7048532366752625": 142, "7035598158836365": 142, "7022693753242493": 142, "7009819149971008": 142, "6996962428092957": 142, "6984134316444397": 142, "6971319317817688": 142, "695853054523468": 142, "6945766806602478": 142, "6933020949363708": 142, "6921301484107971": 142, "6908606886863708": 142, "6895924210548401": 142, "6883247494697571": 142, "6870597004890442": 142, "6857962012290955": 142, "6844227910041809": 142, "6831640601158142": 142, "6819078326225281": 142, "6806532740592957": 142, "6794018149375916": 142, "6781534552574158": 142, "6769071221351624": 142, "6756641268730164": 142, "6744233965873718": 142, "6730671525001526": 142, "6718296408653259": 142, "6705952286720276": 142, "6693649888038635": 142, "6681368947029114": 142, "6669135689735413": 142, "6658995747566223": 142, "6646835207939148": 142, "6634723544120789": 142, "6622641682624817": 142, "6610590815544128": 142, "6598585247993469": 142, "6586610674858093": 142, "6574673056602478": 142, "6562787890434265": 142, "6550927758216858": 142, "6539114117622375": 142, "6527336239814758": 142, "6515602469444275": 142, "6503898501396179": 142, "6492249369621277": 142, "6478505730628967": 142, "6466943621635437": 142, "6455420851707458": 142, "6443933844566345": 142, "6432484984397888": 142, "6421074271202087": 142, "6409704089164734": 142, "6398375630378723": 142, "6387082934379578": 142, "6375835537910461": 142, "6364616751670837": 142, "6353445649147034": 142, "6342310309410095": 142, "6331211924552917": 142, "63201504945755": 142, "6309114098548889": 142, "6298125386238098": 142, "6287170052528381": 142, "6276246905326843": 142, "6265361905097961": 142, "6254503130912781": 142, "624367892742157": 142, "623378336429596": 142, "6223006844520569": 142, "6212257742881775": 142, "6201546788215637": 142, "619087278842926": 142, "6180221438407898": 142, "616960346698761": 142, "6159018874168396": 142, "614846408367157": 142, "6137945055961609": 142, "6127449870109558": 142, "6116988062858582": 142, "6106550097465515": 142, "6096140742301941": 142, "6085774302482605": 142, "6075423359870911": 142, "6065104603767395": 142, "6054807305335999": 142, "6044546961784363": 142, "6034312844276428": 142, "6024104952812195": 142, "6013911366462708": 142, "6003755927085876": 142, "599362313747406": 142, "5983512997627258": 142, "5973438620567322": 142, "5963373780250549": 142, "5953333973884583": 142, "5943313241004944": 142, "5933324694633484": 142, "5923345685005188": 142, "5913391709327698": 142, "5903462767601013": 142, "589354932308197": 142, "5883657336235046": 142, "5873784422874451": 142, "00672780629247427": 142, "002962846541777253": 142, "0019148570718243718": 142, "0324457585811615": 142, "029045289382338524": 142, "05762558802962303": 142, "008555467240512371": 142, "010144378989934921": 142, "0002960836864076555": 142, "03819004446268082": 142, "0058896103873848915": 142, "006528045982122421": 142, "012094092555344105": 142, "007680762559175491": 142, "015146498568356037": 142, "00802426878362894": 142, "008379830978810787": 142, "031697340309619904": 142, "0027233229484409094": 142, "006032674107700586": 142, "0017282236367464066": 142, "013632377609610558": 142, "06373397260904312": 142, "050727974623441696": 142, "003725964343175292": 142, "010153817012906075": 142, "012927756644785404": 142, "0801643431186676": 142, "03970814868807793": 142, "06962189078330994": 142, "03280660882592201": 142, "025888592004776": 142, "025235852226614952": 142, "010992465540766716": 142, "006057747174054384": 142, "03789307177066803": 142, "011163821443915367": 142, "002672376576811075": 142, "001983524765819311": 142, "0009347973391413689": 142, "004502462688833475": 142, "03300582617521286": 142, "0038758874870836735": 142, "0016756133409217": 142, "005484376568347216": 142, "011502949520945549": 142, "00037721690023317933": 142, "033370159566402435": 142, "0013160068774595857": 142, "007141415495425463": 142, "0022501028142869473": 142, "002383272163569927": 142, "008874117396771908": 142, "03206373006105423": 142, "16644996404647827": 142, "05762629210948944": 142, "05659032613039017": 142, "1709297150373459": 142, "18212957680225372": 142, "20570461452007294": 142, "831423044204712": 142, "005202915519475937": 142, "899694442749023": 142, "4559788703918457": 142, "4090110063552856": 142, "830516815185547": 142, "8363609313964844": 142, "821428060531616": 142, "89072036743164": 142, "4418790340423584": 142, "219388961791992": 142, "839637756347656": 142, "8362739086151123": 142, "627035140991211": 142, "887197494506836": 142, "4493407011032104": 142, "022892951965332": 142, "821279525756836": 142, "673828125": 142, "009868541732430458": 142, "96070671081543": 142, "22305154800415": 142, "4091871976852417": 142, "838048934936523": 142, "673476219177246": 142, "794126510620117": 142, "94536590576172": 142, "227967739105225": 142, "2212114334106445": 142, "84568214416504": 142, "672903537750244": 142, "643647193908691": 142, "942846298217773": 142, "214457035064697": 142, "033606052398682": 142, "834402084350586": 142, "44622802734375": 142, "011990983039140701": 142, "956621170043945": 142, "079927444458008": 142, "5141024589538574": 142, "001981735229492": 142, "461713790893555": 142, "7985901832580566": 142, "930011749267578": 142, "0718512535095215": 142, "201298713684082": 142, "8783016204834": 142, "459891319274902": 142, "635501861572266": 142, "924379348754883": 142, "049588203430176": 142, "882227420806885": 142, "99083709716797": 142, "129390716552734": 142, "411526679992676": 142, "455888748168945": 142, "07984447479248": 142, "418086051940918": 142, "715267181396484": 142, "42239266633987427": 142, "4126126766204834": 142, "395864725112915": 142, "3836066722869873": 142, "372039556503296": 142, "3610928058624268": 142, "3508005142211914": 142, "3411412239074707": 142, "3318192958831787": 142, "322730541229248": 142, "314122200012207": 142, "3057489395141602": 142, "297654628753662": 142, "2897043228149414": 142, "2818844318389893": 142, "2742633819580078": 142, "266728401184082": 142, "2592651844024658": 142, "2519068717956543": 142, "2444849014282227": 142, "2374382019042969": 142, "2302536964416504": 142, "223311185836792": 142, "2163481712341309": 142, "209545612335205": 142, "2027826309204102": 142, "1961033344268799": 142, "1894774436950684": 142, "1829001903533936": 142, "1698789596557617": 142, "1634249687194824": 142, "1570096015930176": 142, "1506261825561523": 142, "1442697048187256": 142, "1380455493927002": 142, "1317460536956787": 142, "1254749298095703": 142, "1192262172698975": 142, "113006353378296": 142, "1067979335784912": 142, "1005895137786865": 142, "0944397449493408": 142, "0883100032806396": 142, "0821952819824219": 142, "0760996341705322": 142, "070016860961914": 142, "0639498233795166": 142, "057896614074707": 142, "0519778728485107": 142, "0459487438201904": 142, "0398974418640137": 142, "0332422256469727": 142, "0272464752197266": 142, "0212578773498535": 142, "0152859687805176": 142, "0093262195587158": 142, "0034043788909912": 142, "9974598288536072": 142, "9914870858192444": 142, "9855608344078064": 142, "9796451926231384": 142, "9737405180931091": 142, "9675890803337097": 142, "9617019295692444": 142, "955827534198761": 142, "9498959183692932": 142, "944039523601532": 142, "9381936192512512": 142, "9323564171791077": 142, "926666796207428": 142, "9206766486167908": 142, "9148702025413513": 142, "9090736508369446": 142, "9032877087593079": 142, "8975140452384949": 142, "8917520642280579": 142, "8860000967979431": 142, "8802134394645691": 142, "8744834065437317": 142, "8687646985054016": 142, "8630635142326355": 142, "857376754283905": 142, "8517025113105774": 142, "8457034230232239": 142, "8400679230690002": 142, "8344618678092957": 142, "8290660977363586": 142, "8235991597175598": 142, "8181996941566467": 142, "8128637671470642": 142, "8075910210609436": 142, "8023806214332581": 142, "7972326874732971": 142, "7921404242515564": 142, "787109911441803": 142, "7821367383003235": 142, "7772218585014343": 142, "7723618149757385": 142, "7675536274909973": 142, "7628019452095032": 142, "7581027150154114": 142, "75345379114151": 142, "7488109469413757": 142, "7442612051963806": 142, "7398759722709656": 142, "7352994084358215": 142, "7309747338294983": 142, "7266121506690979": 142, "7222941517829895": 142, "7180574536323547": 142, "7138312458992004": 142, "7096503376960754": 142, "7055128216743469": 142, "7014208436012268": 142, "6973711848258972": 142, "6933637261390686": 142, "689397394657135": 142, "6854714751243591": 142, "6815904974937439": 142, "6777498126029968": 142, "6739502549171448": 142, "6701913475990295": 142, "6664724946022034": 142, "6626378893852234": 142, "659267008304596": 142, "6556716561317444": 142, "6529683470726013": 142, "6494553685188293": 142, "6459768414497375": 142, "6425376534461975": 142, "6391344666481018": 142, "6358408331871033": 142, "6325107216835022": 142, "6292163729667664": 142, "6259612441062927": 142, "6225908398628235": 142, "6193705201148987": 142, "6162288784980774": 142, "6131014227867126": 142, "6100299954414368": 142, "6069669127464294": 142, "6039664149284363": 142, "6010003685951233": 142, "5980681777000427": 142, "5950787663459778": 142, "5923903584480286": 142, "5895553231239319": 142, "5867553353309631": 142, "5839875340461731": 142, "5812544226646423": 142, "5785539746284485": 142, "5758872628211975": 142, "5732536911964417": 142, "5706529021263123": 142, "5680838227272034": 142, "5655487179756165": 142, "563045084476471": 142, "5605745911598206": 142, "5581358075141907": 142, "555728018283844": 142, "5533528923988342": 142, "5510069727897644": 142, "5490263104438782": 142, "5467421412467957": 142, "5444878935813904": 142, "5422652363777161": 142, "5400733351707458": 142, "537778913974762": 142, "5356491208076477": 142, "5335491299629211": 142, "531140148639679": 142, "5291138291358948": 142, "5271157622337341": 142, "5251485705375671": 142, "5228788256645203": 142, "5209686160087585": 142, "5190840363502502": 142, "5172292590141296": 142, "5153998732566833": 142, "5135952830314636": 142, "5117647051811218": 142, "5100149512290955": 142, "5082919001579285": 142, "5065917372703552": 142, "5049182772636414": 142, "5032690167427063": 142, "5016433596611023": 142, "5000408291816711": 142, "4984627366065979": 142, "49690765142440796": 142, "49537497758865356": 142, "4938647150993347": 142, "4923282265663147": 142, "4908650517463684": 142, "48942381143569946": 142, "4880039095878601": 142, "486605703830719": 142, "4852296710014343": 142, "4838743805885315": 142, "48253947496414185": 142, "4812261462211609": 142, "47993355989456177": 142, "4786604046821594": 142, "47741037607192993": 142, "4760381579399109": 142, "47482746839523315": 142, "47363609075546265": 142, "47246497869491577": 142, "47131210565567017": 142, "47017842531204224": 142, "46906358003616333": 142, "4679660201072693": 142, "4667835831642151": 142, "46572333574295044": 142, "46468132734298706": 142, "4639628529548645": 142, "4629550576210022": 142, "461963951587677": 142, "4609892964363098": 142, "4600312113761902": 142, "45896297693252563": 142, "4580363631248474": 142, "4571240544319153": 142, "4562299847602844": 142, "4553493857383728": 142, "4544838070869446": 142, "4536316990852356": 142, "45279496908187866": 142, "45197194814682007": 142, "4511633515357971": 142, "4503691792488098": 142, "44962388277053833": 142, "44885534048080444": 142, "4481019377708435": 142, "4473605751991272": 142, "44663316011428833": 142, "4458802342414856": 142, "44518011808395386": 142, "44449299573898315": 142, "44381946325302124": 142, "4431590437889099": 142, "44251102209091187": 142, "4418765902519226": 142, "44125479459762573": 142, "44046837091445923": 142, "4398741126060486": 142, "43929189443588257": 142, "43872398138046265": 142, "4381677508354187": 142, "43762582540512085": 142, "4370958209037781": 142, "4365771412849426": 142, "43612462282180786": 142, "43563300371170044": 142, "43515413999557495": 142, "43433767557144165": 142, "43388205766677856": 142, "43343669176101685": 142, "4330022931098938": 142, "4325101971626282": 142, "4320991635322571": 142, "4316982626914978": 142, "4311646819114685": 142, "4307160973548889": 142, "4303428530693054": 142, "42998045682907104": 142, "4296249747276306": 142, "4292789101600647": 142, "4289410710334778": 142, "42861098051071167": 142, "428288996219635": 142, "42797476053237915": 142, "4276120066642761": 142, "4273146986961365": 142, "42702382802963257": 142, "42646902799606323": 142, "426194965839386": 142, "4264419674873352": 142, "42618149518966675": 142, "4259268641471863": 142, "425680935382843": 142, "4254400134086609": 142, "4252074360847473": 142, "4249820113182068": 142, "42473095655441284": 142, "42451757192611694": 142, "42431074380874634": 142, "4241099953651428": 142, "42391663789749146": 142, "4237287640571594": 142, "4235491156578064": 142, "4233739972114563": 142, "4232061505317688": 142, "4230439066886902": 142, "4230418801307678": 142, "42292946577072144": 142, "4227864146232605": 142, "42264872789382935": 142, "4225178360939026": 142, "011584690771996975": 142, "002312679309397936": 142, "010314644314348698": 142, "05303353816270828": 142, "015198487788438797": 142, "05412420630455017": 142, "013609202578663826": 142, "0035606909077614546": 142, "006505994126200676": 142, "007599852979183197": 142, "0020313106942921877": 142, "038318585604429245": 142, "014016633853316307": 142, "00677281292155385": 142, "0123875318095088": 142, "04906655102968216": 142, "021530525758862495": 142, "06783610582351685": 142, "005936389323323965": 142, "0010321361478418112": 142, "005688465666025877": 142, "004686825443059206": 142, "0031199310906231403": 142, "03164251521229744": 142, "03355684131383896": 142, "029388844966888428": 142, "042972367256879807": 142, "0020289598032832146": 142, "0010984593536704779": 142, "03332088515162468": 142, "032151687890291214": 142, "017066143453121185": 142, "033952079713344574": 142, "006008935160934925": 142, "004270770121365786": 142, "036959316581487656": 142, "007334538735449314": 142, "001666727475821972": 142, "009655891917645931": 142, "04468540847301483": 142, "04212908819317818": 142, "0576358437538147": 142, "004348641261458397": 142, "006450840272009373": 142, "00438180286437273": 142, "013141589239239693": 142, "02653077431023121": 142, "023862777277827263": 142, "0061141811311244965": 142, "007648810278624296": 142, "01192609965801239": 142, "007851015776395798": 142, "09243211150169373": 142, "026359017938375473": 142, "0976301059126854": 142, "08668004721403122": 142, "062148984521627426": 142, "0824388787150383": 142, "02526266500353813": 142, "09419704973697662": 142, "8422539234161377": 142, "053978655487298965": 142, "890132904052734": 142, "4093466997146606": 142, "4368774890899658": 142, "87504768371582": 142, "7978639602661133": 142, "8842711448669434": 142, "98670196533203": 142, "5323008298873901": 142, "253438949584961": 142, "97828483581543": 142, "8344151973724365": 142, "664122104644775": 142, "917285919189453": 142, "4733562469482422": 142, "178465843200684": 142, "797733306884766": 142, "634748935699463": 142, "037715837359428406": 142, "898399353027344": 142, "239281177520752": 142, "4196020364761353": 142, "873577117919922": 142, "666654109954834": 142, "870061159133911": 142, "973817825317383": 142, "2621684074401855": 142, "269475936889648": 142, "89647674560547": 142, "651688098907471": 142, "656306266784668": 142, "922542572021484": 142, "244959354400635": 142, "087959289550781": 142, "85822296142578": 142, "462027549743652": 142, "03462887927889824": 142, "902488708496094": 142, "056535720825195": 142, "428985357284546": 142, "8746337890625": 142, "465400695800781": 142, "8567633628845215": 142, "952993392944336": 142, "021805763244629": 142, "2870001792907715": 142, "986299514770508": 142, "473905563354492": 142, "652751922607422": 142, "94672393798828": 142, "022115230560303": 142, "144235610961914": 142, "821491241455078": 142, "19407916069030762": 142, "898903846740723": 142, "45979118347168": 142, "23314954340457916": 142, "903983116149902": 142, "42180824279785": 142, "735374391078949": 142, "2942254543304443": 142, "2695095539093018": 142, "2493820190429688": 142, "231086492538452": 142, "2140142917633057": 142, "1974430084228516": 142, "1814355850219727": 142, "1657285690307617": 142, "150341272354126": 142, "135103225708008": 142, "1202034950256348": 142, "1060075759887695": 142, "0914511680603027": 142, "064692974090576": 142, "052136182785034": 142, "0399224758148193": 142, "0283870697021484": 142, "017303943634033": 142, "0067291259765625": 142, "9964368343353271": 142, "986487865447998": 142, "9768564701080322": 142, "96751070022583": 142, "9584293365478516": 142, "9495937824249268": 142, "9409773349761963": 142, "9325487613677979": 142, "9242818355560303": 142, "9162201881408691": 142, "9083178043365479": 142, "9005613327026367": 142, "8927803039550781": 142, "8852791786193848": 142, "8778934478759766": 142, "8706133365631104": 142, "8634352684020996": 142, "8563520908355713": 142, "849355936050415": 142, "8423645496368408": 142, "8355262279510498": 142, "8284435272216797": 142, "8216018676757812": 142, "8149776458740234": 142, "808413028717041": 142, "80191969871521": 142, "795485258102417": 142, "7891778945922852": 142, "7828607559204102": 142, "7765929698944092": 142, "7703781127929688": 142, "764211654663086": 142, "757950782775879": 142, "7517199516296387": 142, "7456893920898438": 142, "739698886871338": 142, "7337470054626465": 142, "7278251647949219": 142, "721940517425537": 142, "7160825729370117": 142, "710254430770874": 142, "7044496536254883": 142, "698678731918335": 142, "6929171085357666": 142, "6871776580810547": 142, "6814546585083008": 142, "675750494003296": 142, "6700620651245117": 142, "664304256439209": 142, "658646583557129": 142, "6529994010925293": 142, "6477165222167969": 142, "6423046588897705": 142, "6366963386535645": 142, "6311004161834717": 142, "6255195140838623": 142, "6199519634246826": 142, "6143982410430908": 142, "608583688735962": 142, "6030604839324951": 142, "5975544452667236": 142, "5920660495758057": 142, "5865938663482666": 142, "5811388492584229": 142, "57570219039917": 142, "5702836513519287": 142, "5648834705352783": 142, "5595006942749023": 142, "5542199611663818": 142, "5489921569824219": 142, "5436763763427734": 142, "5383801460266113": 142, "5331029891967773": 142, "52781081199646": 142, "522575855255127": 142, "5173630714416504": 142, "5119409561157227": 142, "506760597229004": 142, "5016024112701416": 142, "4966495037078857": 142, "4911527633666992": 142, "4863007068634033": 142, "4812078475952148": 142, "4761312007904053": 142, "4710702896118164": 142, "4660253524780273": 142, "4609997272491455": 142, "455991268157959": 142, "4510529041290283": 142, "4460813999176025": 142, "4411258697509766": 142, "4361884593963623": 142, "4312686920166016": 142, "4263672828674316": 142, "4214823246002197": 142, "4166162014007568": 142, "411766767501831": 142, "4072248935699463": 142, "4024131298065186": 142, "3976190090179443": 142, "3928418159484863": 142, "388357162475586": 142, "3836143016815186": 142, "378889799118042": 142, "3741819858551025": 142, "3694918155670166": 142, "3648200035095215": 142, "3601658344268799": 142, "3554954528808594": 142, "3508777618408203": 142, "3462793827056885": 142, "341698408126831": 142, "3371381759643555": 142, "3325958251953125": 142, "3280739784240723": 142, "3235723972320557": 142, "3191072940826416": 142, "3141250610351562": 142, "3096823692321777": 142, "3052594661712646": 142, "3008582592010498": 142, "2964768409729004": 142, "2921171188354492": 142, "2877154350280762": 142, "2833945751190186": 142, "2790939807891846": 142, "274815559387207": 142, "2704977989196777": 142, "2662618160247803": 142, "2620429992675781": 142, "2578434944152832": 142, "2536582946777344": 142, "249495267868042": 142, "245347023010254": 142, "241213321685791": 142, "2370944023132324": 142, "2329885959625244": 142, "228895664215088": 142, "2248144149780273": 142, "2207446098327637": 142, "2166860103607178": 142, "2126376628875732": 142, "2086007595062256": 142, "2045724391937256": 142, "200551986694336": 142, "1965405941009521": 142, "1921424865722656": 142, "1883316040039062": 142, "18434739112854": 142, "1803698539733887": 142, "1763994693756104": 142, "1724352836608887": 142, "1684792041778564": 142, "1645278930664062": 142, "1605839729309082": 142, "156646728515625": 142, "1527149677276611": 142, "148792028427124": 142, "144874095916748": 142, "1407601833343506": 142, "136857271194458": 142, "1329100131988525": 142, "1290178298950195": 142, "1251332759857178": 142, "1210758686065674": 142, "1171977519989014": 142, "1133310794830322": 142, "1094708442687988": 142, "105621337890625": 142, "101778507232666": 142, "097944736480713": 142, "0903043746948242": 142, "0864968299865723": 142, "0826990604400635": 142, "0789098739624023": 142, "0751311779022217": 142, "0675971508026123": 142, "063845157623291": 142, "0601015090942383": 142, "0563676357269287": 142, "0526437759399414": 142, "0489287376403809": 142, "0452227592468262": 142, "0420536994934082": 142, "0383737087249756": 142, "0347003936767578": 142, "0310349464416504": 142, "0273785591125488": 142, "0237727165222168": 142, "0201923847198486": 142, "016556978225708": 142, "0129313468933105": 142, "009314775466919": 142, "005708932876587": 142, "0021111965179443": 142, "9985219836235046": 142, "994941771030426": 142, "99136883020401": 142, "9878066182136536": 142, "9842528700828552": 142, "9807084202766418": 142, "9771738648414612": 142, "9736481308937073": 142, "970130980014801": 142, "9666220545768738": 142, "9631244540214539": 142, "9596348404884338": 142, "9561557173728943": 142, "9526850581169128": 142, "9492244124412537": 142, "9457737803459167": 142, "9423313736915588": 142, "9389012455940247": 142, "935479462146759": 142, "9320698380470276": 142, "9289095997810364": 142, "9251362681388855": 142, "9217631220817566": 142, "9183973670005798": 142, "9150411486625671": 142, "9116957783699036": 142, "9083601832389832": 142, "9050331711769104": 142, "9017177224159241": 142, "898411214351654": 142, "8951143622398376": 142, "891827404499054": 142, "8885499835014343": 142, "8852830529212952": 142, "8820241093635559": 142, "8787747025489807": 142, "8755344748497009": 142, "8723036646842957": 142, "8690816760063171": 142, "8658683896064758": 142, "8626626133918762": 142, "8594662547111511": 142, "8562784790992737": 142, "8530979752540588": 142, "8500564694404602": 142, "8468881249427795": 142, "8437290787696838": 142, "8405418992042542": 142, "8373977541923523": 142, "8342611193656921": 142, "8311321139335632": 142, "8280107378959656": 142, "8248957991600037": 142, "8217883706092834": 142, "818687379360199": 142, "815595805644989": 142, "812510073184967": 142, "8094308972358704": 142, "8063600659370422": 142, "8032966256141663": 142, "8002412915229797": 142, "7971912026405334": 142, "7939580082893372": 142, "7909250855445862": 142, "7879016995429993": 142, "7848605513572693": 142, "7818586230278015": 142, "7788639664649963": 142, "7758806347846985": 142, "7729079127311707": 142, "7699452042579651": 142, "7669935822486877": 142, "764054000377655": 142, "7611262202262878": 142, "7582109570503235": 142, "7553090453147888": 142, "7524189352989197": 142, "7495432496070862": 142, "7466817498207092": 142, "7438337206840515": 142, "7409994006156921": 142, "7381803393363953": 142, "011048180051147938": 142, "01756734773516655": 142, "044611815363168716": 142, "009981452487409115": 142, "00270102103240788": 142, "01495250966399908": 142, "040433283895254135": 142, "002390028443187475": 142, "04978139325976372": 142, "06139674410223961": 142, "023569317534565926": 142, "020381009206175804": 142, "004938843194395304": 142, "011576433666050434": 142, "00633571483194828": 142, "08426057547330856": 142, "10261540114879608": 142, "06525682657957077": 142, "0014684428460896015": 142, "023803861811757088": 142, "032312072813510895": 142, "004227440804243088": 142, "015547440387308598": 142, "013232013210654259": 142, "027164587751030922": 142, "0321744866669178": 142, "009784740395843983": 142, "027329687029123306": 142, "0316382497549057": 142, "007054395508021116": 142, "021080225706100464": 142, "012525636702775955": 142, "005506496410816908": 142, "0054008071310818195": 142, "03618023544549942": 142, "02625952661037445": 142, "010720926336944103": 142, "0075279478915035725": 142, "01566372625529766": 142, "006078918464481831": 142, "01909257285296917": 142, "014261005446314812": 142, "011476521380245686": 142, "030361179262399673": 142, "016144901514053345": 142, "03796760365366936": 142, "07487879693508148": 142, "104970782995224": 142, "017611917108297348": 142, "0002027958253165707": 142, "02801877073943615": 142, "0685773640871048": 142, "012898090295493603": 142, "013869398273527622": 142, "25213322043418884": 142, "36643627285957336": 142, "09306687116622925": 142, "14814049005508423": 142, "5660901665687561": 142, "011399158276617527": 142, "819798231124878": 142, "003255059476941824": 142, "897443771362305": 142, "4046880006790161": 142, "390572190284729": 142, "840953826904297": 142, "7856433391571045": 142, "842332601547241": 142, "9477481842041": 142, "4847533702850342": 142, "271162986755371": 142, "0220890045166": 142, "7909722328186035": 142, "629708290100098": 142, "940156936645508": 142, "4044474363327026": 142, "083657741546631": 142, "624200344085693": 142, "0025533982552587986": 142, "889741897583008": 142, "213601112365723": 142, "3939268589019775": 142, "850425720214844": 142, "62923526763916": 142, "8333756923675537": 142, "93113899230957": 142, "182393550872803": 142, "230105400085449": 142, "880712509155273": 142, "6308135986328125": 142, "624793529510498": 142, "92711639404297": 142, "220526695251465": 142, "067215919494629": 142, "84803581237793": 142, "458588600158691": 142, "002206984208896756": 142, "90409278869629": 142, "022964954376221": 142, "3684582710266113": 142, "828670501708984": 142, "453069686889648": 142, "8409197330474854": 142, "958961486816406": 142, "865200042724609": 142, "195710182189941": 142, "963762283325195": 142, "449553489685059": 142, "6171488761901855": 142, "957075119018555": 142, "024885654449463": 142, "066546440124512": 142, "827781677246094": 142, "3467378616333": 142, "227583885192871": 142, "465539932250977": 142, "306230545043945": 142, "131714820861816": 142, "854923248291016": 142, "42608171701431274": 142, "4598042964935303": 142, "4411964416503906": 142, "4268507957458496": 142, "4129137992858887": 142, "4006829261779785": 142, "389265537261963": 142, "3785147666931152": 142, "368539571762085": 142, "3586726188659668": 142, "3490827083587646": 142, "3397302627563477": 142, "3305985927581787": 142, "3218302726745605": 142, "313039779663086": 142, "3043982982635498": 142, "2958014011383057": 142, "2873821258544922": 142, "2790637016296387": 142, "2708134651184082": 142, "2624812126159668": 142, "2545335292816162": 142, "246558666229248": 142, "2386856079101562": 142, "2307677268981934": 142, "2230076789855957": 142, "2153205871582031": 142, "2076380252838135": 142, "2000806331634521": 142, "1926064491271973": 142, "1852028369903564": 142, "1778628826141357": 142, "170579433441162": 142, "163356065750122": 142, "1562390327453613": 142, "1491327285766602": 142, "1420369148254395": 142, "1350457668304443": 142, "1281046867370605": 142, "1212170124053955": 142, "1143794059753418": 142, "1076550483703613": 142, "1009151935577393": 142, "0942294597625732": 142, "0875961780548096": 142, "0809273719787598": 142, "0743696689605713": 142, "0678949356079102": 142, "061471700668335": 142, "0550940036773682": 142, "0487680435180664": 142, "0423011779785156": 142, "036214828491211": 142, "030015468597412": 142, "0238773822784424": 142, "0177860260009766": 142, "01173996925354": 142, "005737543106079": 142, "9997798800468445": 142, "99387127161026": 142, "988008439540863": 142, "9821853041648865": 142, "9763035178184509": 142, "9705716967582703": 142, "9648874402046204": 142, "9593247771263123": 142, "9537284970283508": 142, "9481779932975769": 142, "9426715970039368": 142, "937214195728302": 142, "9318061470985413": 142, "9264435172080994": 142, "9211297631263733": 142, "9157530665397644": 142, "9105355143547058": 142, "905373752117157": 142, "900249183177948": 142, "8950473666191101": 142, "8900092244148254": 142, "8850134015083313": 142, "8800765872001648": 142, "8751663565635681": 142, "87029629945755": 142, "8654679656028748": 142, "8606758713722229": 142, "8559208512306213": 142, "8512035012245178": 142, "8465211987495422": 142, "8418757319450378": 142, "8372641205787659": 142, "8324704766273499": 142, "8279314637184143": 142, "8234302401542664": 142, "8189652562141418": 142, "8145220875740051": 142, "8101291060447693": 142, "8057875037193298": 142, "8013833165168762": 142, "7971004843711853": 142, "7930471301078796": 142, "7888384461402893": 142, "7846664786338806": 142, "7805230021476746": 142, "7764751315116882": 142, "7724170088768005": 142, "7670732140541077": 142, "7631040215492249": 142, "7592361569404602": 142, "7553265690803528": 142, "751458466053009": 142, "7476270794868469": 142, "743829071521759": 142, "7400664687156677": 142, "7363371253013611": 142, "7326419949531555": 142, "7289596199989319": 142, "7253318428993225": 142, "7217355370521545": 142, "7181717753410339": 142, "7146392464637756": 142, "7111378312110901": 142, "7076980471611023": 142, "7042619585990906": 142, "7010517716407776": 142, "6976744532585144": 142, "6943250298500061": 142, "6910045742988586": 142, "6877148747444153": 142, "6844509243965149": 142, "6812155842781067": 142, "6780086159706116": 142, "6748291850090027": 142, "671664297580719": 142, "6685419678688049": 142, "6654475331306458": 142, "6623796820640564": 142, "6593411564826965": 142, "6563283801078796": 142, "6533951163291931": 142, "6504361033439636": 142, "6473992466926575": 142, "6444975733757019": 142, "6416227221488953": 142, "6387748122215271": 142, "6358359456062317": 142, "633040726184845": 142, "630273163318634": 142, "6275325417518616": 142, "6248190999031067": 142, "622130811214447": 142, "6194871068000793": 142, "6169511675834656": 142, "614361584186554": 142, "6117987036705017": 142, "6092621684074402": 142, "6067519783973694": 142, "6042686104774475": 142, "601810872554779": 142, "5993793606758118": 142, "596974790096283": 142, "5945952534675598": 142, "5922254920005798": 142, "5898998379707336": 142, "587598979473114": 142, "5853244662284851": 142, "5830714106559753": 142, "580847442150116": 142, "5786485075950623": 142, "5764749646186829": 142, "5741346478462219": 142, "5720134377479553": 142, "5699148774147034": 142, "5678421854972839": 142, "565791666507721": 142, "5637659430503845": 142, "5617640614509583": 142, "5597855448722839": 142, "5578293204307556": 142, "5558965802192688": 142, "5539873242378235": 142, "5521008372306824": 142, "5502343773841858": 142, "5483902096748352": 142, "546566903591156": 142, "5447666049003601": 142, "5429860949516296": 142, "5412266850471497": 142, "539486825466156": 142, "5377668738365173": 142, "536066472530365": 142, "534385621547699": 142, "532692015171051": 142, "5310496687889099": 142, "5294259190559387": 142, "5278200507164001": 142, "5262313485145569": 142, "524760901927948": 142, "5232086777687073": 142, "5216731429100037": 142, "5201550126075745": 142, "5186545252799988": 142, "5171704888343811": 142, "5156860947608948": 142, "5142355561256409": 142, "5128012299537659": 142, "5113827586174011": 142, "5099793076515198": 142, "5085919499397278": 142, "5072194933891296": 142, "5045191645622253": 142, "5031912922859192": 142, "5018784403800964": 142, "5005789399147034": 142, "49929362535476685": 142, "49800997972488403": 142, "49675363302230835": 142, "49551111459732056": 142, "49428147077560425": 142, "4930652976036072": 142, "4916316866874695": 142, "49038416147232056": 142, "4892032742500305": 142, "48803597688674927": 142, "4868801236152649": 142, "48573750257492065": 142, "4846060872077942": 142, "4834863543510437": 142, "48237866163253784": 142, "48128193616867065": 142, "4801962971687317": 142, "4791213870048523": 142, "478057324886322": 142, "47700363397598267": 142, "475959837436676": 142, "47492676973342896": 142, "4739047884941101": 142, "47289222478866577": 142, "4718891978263855": 142, "4708966612815857": 142, "46991318464279175": 142, "46893852949142456": 142, "4679756760597229": 142, "46702152490615845": 142, "4660765528678894": 142, "4651417136192322": 142, "4642159342765808": 142, "46330028772354126": 142, "46239417791366577": 142, "46149736642837524": 142, "4606098532676697": 142, "4597317576408386": 142, "4588630795478821": 142, "4580039381980896": 142, "4571545720100403": 142, "45631474256515503": 142, "45548397302627563": 142, "45466214418411255": 142, "4534873366355896": 142, "4526814818382263": 142, "4514414668083191": 142, "450655996799469": 142, "44987910985946655": 142, "44911009073257446": 142, "44835036993026733": 142, "4475998282432556": 142, "4468570351600647": 142, "4461246132850647": 142, "44540029764175415": 142, "4446837306022644": 142, "44397681951522827": 142, "4432768225669861": 142, "4425857663154602": 142, "441902220249176": 142, "44122618436813354": 142, "440557062625885": 142, "4398960471153259": 142, "43924301862716675": 142, "4385966658592224": 142, "43795710802078247": 142, "43732398748397827": 142, "4366987347602844": 142, "43608003854751587": 142, "43546777963638306": 142, "43494755029678345": 142, "43434852361679077": 142, "4337541460990906": 142, "4331672787666321": 142, "43255919218063354": 142, "4319828152656555": 142, "43141359090805054": 142, "43085092306137085": 142, "43029457330703735": 142, "42974478006362915": 142, "4292014241218567": 142, "4286655783653259": 142, "4281352162361145": 142, "42761164903640747": 142, "42709559202194214": 142, "42658549547195435": 142, "008407402783632278": 142, "004239373374730349": 142, "005251362919807434": 142, "007545715197920799": 142, "004750214982777834": 142, "02508644014596939": 142, "01596221700310707": 142, "01832425966858864": 142, "02964276447892189": 142, "028692668303847313": 142, "043962329626083374": 142, "05878300964832306": 142, "0018172635463997722": 142, "0006653182208538055": 142, "015392735600471497": 142, "012181717902421951": 142, "02381926402449608": 142, "03065861389040947": 142, "004470011219382286": 142, "00014551592175848782": 142, "0017716202419251204": 142, "00433540903031826": 142, "0008174736867658794": 142, "018316807225346565": 142, "00044615103979595006": 142, "0010038898326456547": 142, "0008994115050882101": 142, "018859626725316048": 142, "003127491567283869": 142, "021019689738750458": 142, "005795679520815611": 142, "005377506371587515": 142, "004395734053105116": 142, "008806966245174408": 142, "0010515525937080383": 142, "018282493576407433": 142, "00577078852802515": 142, "0005680247559212148": 142, "00474019767716527": 142, "0033711164724081755": 142, "028453484177589417": 142, "033760178834199905": 142, "01173701323568821": 142, "009215041063725948": 142, "009182640351355076": 142, "1034989282488823": 142, "07085470855236053": 142, "06858675181865692": 142, "0070633795112371445": 142, "006100376136600971": 142, "00029374356381595135": 142, "000391982845030725": 142, "01338732149451971": 142, "036926284432411194": 142, "14616508781909943": 142, "11247951537370682": 142, "022268611937761307": 142, "05908539146184921": 142, "12340930104255676": 142, "08824840188026428": 142, "8198609352111816": 142, "03403124213218689": 142, "94244956970215": 142, "3940300941467285": 142, "4159420728683472": 142, "855628967285156": 142, "806356191635132": 142, "7967026233673096": 142, "891298294067383": 142, "39469575881958": 142, "209112167358398": 142, "850107192993164": 142, "802772283554077": 142, "6293768882751465": 142, "916284561157227": 142, "3520981073379517": 142, "032675743103027": 142, "878007888793945": 142, "635425567626953": 142, "021805236116051674": 142, "943103790283203": 142, "220686435699463": 142, "4133846759796143": 142, "853734970092773": 142, "640795707702637": 142, "8064324855804443": 142, "901948928833008": 142, "18337869644165": 142, "141989231109619": 142, "819698333740234": 142, "626477241516113": 142, "648622035980225": 142, "961685180664062": 142, "043331146240234": 142, "117395401000977": 142, "91753387451172": 142, "432662010192871": 142, "03016589768230915": 142, "949365615844727": 142, "411072850227356": 142, "861122131347656": 142, "46653938293457": 142, "7997961044311523": 142, "894298553466797": 142, "074437141418457": 142, "174403667449951": 142, "82086181640625": 142, "43952465057373": 142, "640356540679932": 142, "92413902282715": 142, "096741676330566": 142, "060153484344482": 142, "989276885986328": 142, "349021911621094": 142, "5248284339904785": 142, "419401168823242": 142, "142408847808838": 142, "022750377655029": 142, "243194580078125": 142, "705194890499115": 142, "9895763397216797": 142, "970327615737915": 142, "9554166793823242": 142, "9412212371826172": 142, "9279730319976807": 142, "9154503345489502": 142, "9033477306365967": 142, "891352891921997": 142, "8799879550933838": 142, "8687591552734375": 142, "8578557968139648": 142, "8472135066986084": 142, "8368217945098877": 142, "8265082836151123": 142, "8165392875671387": 142, "8067235946655273": 142, "7969934940338135": 142, "787395715713501": 142, "7778565883636475": 142, "7684638500213623": 142, "759225845336914": 142, "7500903606414795": 142, "7410552501678467": 142, "7321162223815918": 142, "7232723236083984": 142, "714512825012207": 142, "7058141231536865": 142, "697232723236084": 142, "6887340545654297": 142, "6803133487701416": 142, "6719651222229004": 142, "663691759109497": 142, "6554539203643799": 142, "647325038909912": 142, "639258623123169": 142, "6312580108642578": 142, "6246967315673828": 142, "6168253421783447": 142, "609020709991455": 142, "5936036109924316": 142, "5859472751617432": 142, "5783448219299316": 142, "5709044933319092": 142, "56341552734375": 142, "5552942752838135": 142, "548090934753418": 142, "5406858921051025": 142, "533433198928833": 142, "526188850402832": 142, "5189948081970215": 142, "5118496417999268": 142, "5047492980957031": 142, "4976980686187744": 142, "4906940460205078": 142, "4837288856506348": 142, "4768109321594238": 142, "4699366092681885": 142, "4631035327911377": 142, "457165002822876": 142, "4502758979797363": 142, "4435617923736572": 142, "4368631839752197": 142, "4302253723144531": 142, "423490285873413": 142, "4169399738311768": 142, "4104008674621582": 142, "4039385318756104": 142, "3975183963775635": 142, "391150951385498": 142, "3848199844360352": 142, "378530740737915": 142, "3722820281982422": 142, "3660790920257568": 142, "3600962162017822": 142, "3539772033691406": 142, "3478939533233643": 142, "3418490886688232": 142, "3358454704284668": 142, "3298754692077637": 142, "3239450454711914": 142, "3180468082427979": 142, "3121888637542725": 142, "306363582611084": 142, "3005726337432861": 142, "2948131561279297": 142, "2890887260437012": 142, "2833974361419678": 142, "2775249481201172": 142, "2719037532806396": 142, "2662854194641113": 142, "2609055042266846": 142, "2553818225860596": 142, "249889850616455": 142, "2444326877593994": 142, "2390110492706299": 142, "2336204051971436": 142, "2282617092132568": 142, "2227108478546143": 142, "217367172241211": 142, "2120497226715088": 142, "206817388534546": 142, "2016143798828125": 142, "1963672637939453": 142, "1912274360656738": 142, "186119794845581": 142, "1810455322265625": 142, "1760013103485107": 142, "1709914207458496": 142, "1660115718841553": 142, "161064624786377": 142, "1561529636383057": 142, "151268720626831": 142, "1464195251464844": 142, "1416022777557373": 142, "1368210315704346": 142, "1320760250091553": 142, "1272211074829102": 142, "1225483417510986": 142, "1178741455078125": 142, "1132752895355225": 142, "1087143421173096": 142, "1041922569274902": 142, "0997085571289062": 142, "0952646732330322": 142, "0908560752868652": 142, "0864877700805664": 142, "0821590423583984": 142, "0778687000274658": 142, "073617935180664": 142, "0652310848236084": 142, "0610945224761963": 142, "0569958686828613": 142, "0529348850250244": 142, "0489096641540527": 142, "0449211597442627": 142, "0409703254699707": 142, "037052869796753": 142, "0331707000732422": 142, "029160737991333": 142, "0253455638885498": 142, "0215647220611572": 142, "0178167819976807": 142, "0141034126281738": 142, "0104236602783203": 142, "006777048110962": 142, "0031630992889404": 142, "9994936585426331": 142, "9959473013877869": 142, "9924330115318298": 142, "9889503121376038": 142, "9854992032051086": 142, "9820789694786072": 142, "9786909222602844": 142, "9753339886665344": 142, "9720085263252258": 142, "9687144160270691": 142, "965514600276947": 142, "9622803330421448": 142, "959077775478363": 142, "9562583565711975": 142, "953124463558197": 142, "9501041769981384": 142, "9470311999320984": 142, "9439875483512878": 142, "9409731030464172": 142, "9379885792732239": 142, "9335330128669739": 142, "930618941783905": 142, "9277368187904358": 142, "9248811602592468": 142, "9222444891929626": 142, "919451892375946": 142, "9166896939277649": 142, "9139557480812073": 142, "9112504124641418": 142, "9085739254951477": 142, "9059258103370667": 142, "9033061861991882": 142, "9007135033607483": 142, "8986691832542419": 142, "896130383014679": 142, "8936029076576233": 142, "8911182284355164": 142, "8886604905128479": 142, "8862301707267761": 142, "8838266730308533": 142, "8814489245414734": 142, "8790954947471619": 142, "8767688870429993": 142, "8744789958000183": 142, "872200071811676": 142, "8699389100074768": 142, "8677043318748474": 142, "8654933571815491": 142, "8639211058616638": 142, "8617209792137146": 142, "8595754504203796": 142, "8574493527412415": 142, "8553428053855896": 142, "8532559275627136": 142, "8511735796928406": 142, "8491224646568298": 142, "8470906615257263": 142, "8450766205787659": 142, "8430801033973694": 142, "8411014676094055": 142, "8391394019126892": 142, "8371936678886414": 142, "8352660536766052": 142, "8333691954612732": 142, "8314716219902039": 142, "8295902609825134": 142, "8276746869087219": 142, "8258249163627625": 142, "8239919543266296": 142, "8221738934516907": 142, "8203715682029724": 142, "8185837864875793": 142, "8168111443519592": 142, "8150530457496643": 142, "8133090138435364": 142, "8115794062614441": 142, "8100437521934509": 142, "8081502318382263": 142, "8064627051353455": 142, "8047903180122375": 142, "8031299710273743": 142, "8014833331108093": 142, "7998495697975159": 142, "7982284426689148": 142, "7966205477714539": 142, "7950248122215271": 142, "7934690117835999": 142, "7918975949287415": 142, "7903370261192322": 142, "7887888550758362": 142, "7872501015663147": 142, "7860940098762512": 142, "7845773100852966": 142, "7830718159675598": 142, "7813418507575989": 142, "779858410358429": 142, "7783829569816589": 142, "7769172787666321": 142, "7754612565040588": 142, "7740134596824646": 142, "7725748419761658": 142, "771145761013031": 142, "769724428653717": 142, "7683109641075134": 142, "7669059634208679": 142, "7655079960823059": 142, "7641180157661438": 142, "7627353072166443": 142, "761358916759491": 142, "7602296471595764": 142, "7588713765144348": 142, "7575182318687439": 142, "7562008500099182": 142, "7548602223396301": 142, "7535238862037659": 142, "7521921992301941": 142, "7508637309074402": 142, "7495387196540833": 142, "7482178807258606": 142, "7469000220298767": 142, "7455840706825256": 142, "7442719340324402": 142, "7429612278938293": 142, "7416524291038513": 142, "740345299243927": 142, "7391483187675476": 142, "7377366423606873": 142, "7364360690116882": 142, "7351371645927429": 142, "7338389754295349": 142, "7325406670570374": 142, "7312447428703308": 142, "729949414730072": 142, "7286569476127625": 142, "7273643612861633": 142, "7260730862617493": 142, "7243183255195618": 142, "7230964303016663": 142, "7218089699745178": 142, "7205217480659485": 142, "7192358374595642": 142, "7179530262947083": 142, "7166699767112732": 142, "7153885960578918": 142, "7141092419624329": 142, "712831437587738": 142, "7115545868873596": 142, "7102790474891663": 142, "7090055346488953": 142, "7077338099479675": 142, "7064628005027771": 142, "0342872180044651": 142, "014057566411793232": 142, "027638839557766914": 142, "004980947356671095": 142, "008290983736515045": 142, "015029889531433582": 142, "009877162985503674": 142, "0013518837513402104": 142, "016981592401862144": 142, "00353407789953053": 142, "011897176504135132": 142, "013881278224289417": 142, "009875182993710041": 142, "01950245164334774": 142, "0176885724067688": 142, "006502630654722452": 142, "008292113430798054": 142, "035658739507198334": 142, "017969416454434395": 142, "01934400200843811": 142, "0199023075401783": 142, "01749560609459877": 142, "007481418550014496": 142, "015378720127046108": 142, "006462873425334692": 142, "0006714253686368465": 142, "009254999458789825": 142, "01420284528285265": 142, "07417555898427963": 142, "015306896530091763": 142, "016487926244735718": 142, "01982562243938446": 142, "017762523144483566": 142, "05158078670501709": 142, "04498571902513504": 142, "17204521596431732": 142, "012198557145893574": 142, "0021267770789563656": 142, "007837602868676186": 142, "009653209708631039": 142, "004595983773469925": 142, "01758400909602642": 142, "011377392336726189": 142, "0019158789655193686": 142, "00663193641230464": 142, "045304540544748306": 142, "03222764655947685": 142, "04418052360415459": 142, "015339734964072704": 142, "0045625013299286366": 142, "003779673483222723": 142, "05092476308345795": 142, "0036748505663126707": 142, "06764021515846252": 142, "13946928083896637": 142, "10556263476610184": 142, "09658768773078918": 142, "2761954963207245": 142, "1540457159280777": 142, "2357906550168991": 142, "8083431720733643": 142, "03381664678454399": 142, "89254379272461": 142, "4055142402648926": 142, "407463788986206": 142, "864917755126953": 142, "8390653133392334": 142, "862173318862915": 142, "96673583984375": 142, "4042320251464844": 142, "260896682739258": 142, "88664436340332": 142, "820216655731201": 142, "6528778076171875": 142, "920669555664062": 142, "4055862426757812": 142, "0754804611206055": 142, "855161666870117": 142, "641580104827881": 142, "020324356853961945": 142, "899314880371094": 142, "238050937652588": 142, "4116911888122559": 142, "87285041809082": 142, "6391472816467285": 142, "8385283946990967": 142, "93517303466797": 142, "1146063804626465": 142, "174864292144775": 142, "959728240966797": 142, "631115913391113": 142, "644303321838379": 142, "94939422607422": 142, "177455902099609": 142, "152487277984619": 142, "810871124267578": 142, "472414016723633": 142, "028916873037815094": 142, "893308639526367": 142, "050477027893066": 142, "4162110090255737": 142, "862590789794922": 142, "454358100891113": 142, "85642671585083": 142, "951679229736328": 142, "147290229797363": 142, "22011661529541": 142, "902997970581055": 142, "468217849731445": 142, "655941009521484": 142, "907102584838867": 142, "096133232116699": 142, "135586738586426": 142, "809375762939453": 142, "6274309158325195": 142, "915570259094238": 142, "29666519165039": 142, "743746280670166": 142, "453118324279785": 142, "150938034057617": 142, "6855210661888123": 142, "9965260028839111": 142, "974691390991211": 142, "9579014778137207": 142, "9424045085906982": 142, "9273908138275146": 142, "9127171039581299": 142, "898029088973999": 142, "8834102153778076": 142, "8692336082458496": 142, "8554277420043945": 142, "8414859771728516": 142, "827639102935791": 142, "813915729522705": 142, "8002474308013916": 142, "7866106033325195": 142, "7730505466461182": 142, "7597599029541016": 142, "7470145225524902": 142, "7346429824829102": 142, "7227494716644287": 142, "7109622955322266": 142, "6995306015014648": 142, "6885881423950195": 142, "6777739524841309": 142, "667231798171997": 142, "6567778587341309": 142, "6466939449310303": 142, "636838436126709": 142, "6271882057189941": 142, "6177434921264648": 142, "6084353923797607": 142, "5993804931640625": 142, "5905025005340576": 142, "5817904472351074": 142, "5731477737426758": 142, "5647578239440918": 142, "5565130710601807": 142, "548412799835205": 142, "5404565334320068": 142, "5325567722320557": 142, "524986743927002": 142, "517606496810913": 142, "5104072093963623": 142, "5028083324432373": 142, "4965400695800781": 142, "4898457527160645": 142, "4833083152770996": 142, "4766626358032227": 142, "4704318046569824": 142, "4641258716583252": 142, "458193302154541": 142, "4523978233337402": 142, "446742296218872": 142, "4412214756011963": 142, "435826301574707": 142, "4305615425109863": 142, "4254224300384521": 142, "4204068183898926": 142, "415506362915039": 142, "4107213020324707": 142, "4059882164001465": 142, "4012541770935059": 142, "396798849105835": 142, "3922038078308105": 142, "3879456520080566": 142, "3837857246398926": 142, "3797218799591064": 142, "37575364112854": 142, "3718764781951904": 142, "3680939674377441": 142, "3643932342529297": 142, "3607778549194336": 142, "3572447299957275": 142, "353787899017334": 142, "350407600402832": 142, "3470966815948486": 142, "3438544273376465": 142, "340674638748169": 142, "3375568389892578": 142, "3345248699188232": 142, "3313701152801514": 142, "3284072875976562": 142, "3254914283752441": 142, "322615385055542": 142, "3197786808013916": 142, "3169753551483154": 142, "314204216003418": 142, "3114631175994873": 142, "308748722076416": 142, "3060603141784668": 142, "3033952713012695": 142, "300750970840454": 142, "2981269359588623": 142, "295520305633545": 142, "2929317951202393": 142, "290358543395996": 142, "2878055572509766": 142, "28525972366333": 142, "2827248573303223": 142, "2802011966705322": 142, "2776846885681152": 142, "2751789093017578": 142, "2726752758026123": 142, "2676849365234375": 142, "2654614448547363": 142, "2629706859588623": 142, "260481357574463": 142, "2579915523529053": 142, "255497694015503": 142, "2530019283294678": 142, "2505011558532715": 142, "2479948997497559": 142, "245481252670288": 142, "2429604530334473": 142, "2404303550720215": 142, "2378888130187988": 142, "2353391647338867": 142, "2327759265899658": 142, "2302002906799316": 142, "2276122570037842": 142, "2250101566314697": 142, "2223966121673584": 142, "2196600437164307": 142, "2170078754425049": 142, "2143363952636719": 142, "2116456031799316": 142, "208937168121338": 142, "2062082290649414": 142, "2034578323364258": 142, "2006871700286865": 142, "197892189025879": 142, "1950736045837402": 142, "1922316551208496": 142, "1893634796142578": 142, "1864700317382812": 142, "1835505962371826": 142, "1806042194366455": 142, "17763090133667": 142, "174631118774414": 142, "1716012954711914": 142, "168541669845581": 142, "1657006740570068": 142, "1625871658325195": 142, "1593983173370361": 142, "1562285423278809": 142, "1530275344848633": 142, "1497962474822998": 142, "1465353965759277": 142, "1432440280914307": 142, "1399221420288086": 142, "1365699768066406": 142, "1331896781921387": 142, "129607915878296": 142, "126115083694458": 142, "1226449012756348": 142, "119145393371582": 142, "1156196594238281": 142, "112065076828003": 142, "1085927486419678": 142, "1050200462341309": 142, "1014440059661865": 142, "0977983474731445": 142, "0942132472991943": 142, "0906240940093994": 142, "08343505859375": 142, "079836130142212": 142, "076233148574829": 142, "0729014873504639": 142, "069291591644287": 142, "0656788349151611": 142, "062063455581665": 142, "0584454536437988": 142, "0512027740478516": 142, "0475778579711914": 142, "043950080871582": 142, "0403196811676025": 142, "036686658859253": 142, "0330524444580078": 142, "029414176940918": 142, "0257751941680908": 142, "0221338272094727": 142, "0184905529022217": 142, "0148448944091797": 142, "0111982822418213": 142, "0073063373565674": 142, "003657341003418": 142, "0000052452087402": 142, "9963516592979431": 142, "9926977753639221": 142, "9890425801277161": 142, "9856213927268982": 142, "9819660782814026": 142, "9783126711845398": 142, "9746610522270203": 142, "9710085988044739": 142, "9675824046134949": 142, "963935911655426": 142, "9602931141853333": 142, "9566534161567688": 142, "9534099698066711": 142, "9497851729393005": 142, "9461644291877747": 142, "9425498843193054": 142, "9389423727989197": 142, "9353422522544861": 142, "9317479729652405": 142, "928163468837738": 142, "9245887398719788": 142, "9210242629051208": 142, "9174706339836121": 142, "9139290452003479": 142, "9103994965553284": 142, "906883180141449": 142, "9033798575401306": 142, "8998917937278748": 142, "8964189887046814": 142, "8929610848426819": 142, "8895196318626404": 142, "8860949873924255": 142, "8826876282691956": 142, "8792985081672668": 142, "8759271502494812": 142, "8725753426551819": 142, "8692434430122375": 142, "8659301400184631": 142, "862583577632904": 142, "8593096137046814": 142, "8560569882392883": 142, "8528569340705872": 142, "8496461510658264": 142, "8464575409889221": 142, "8432897925376892": 142, "8401432633399963": 142, "8370198607444763": 142, "833918035030365": 142, "8308369517326355": 142, "8277782797813416": 142, "8247396349906921": 142, "8217238783836365": 142, "8187304139137268": 142, "8152466416358948": 142, "8122889399528503": 142, "8093566298484802": 142, "8064432740211487": 142, "8035528063774109": 142, "8006834387779236": 142, "7978398203849792": 142, "7948424220085144": 142, "7919774651527405": 142, "7891976237297058": 142, "786438524723053": 142, "783909022808075": 142, "7812203764915466": 142, "7785212397575378": 142, "7758433222770691": 142, "7731844782829285": 142, "770546019077301": 142, "7678982615470886": 142, "7653006911277771": 142, "7627219557762146": 142, "7601634860038757": 142, "7576733231544495": 142, "7551551461219788": 142, "7526581883430481": 142, "7501810193061829": 142, "7477237582206726": 142, "7452879548072815": 142, "7428733706474304": 142, "7404914498329163": 142, "7381637692451477": 142, "735845148563385": 142, "7335579991340637": 142, "7313025593757629": 142, "7290790677070618": 142, "7268869280815125": 142, "7247255444526672": 142, "7225944399833679": 142, "7206366658210754": 142, "7185660004615784": 142, "716525137424469": 142, "7145146727561951": 142, "7124711871147156": 142, "7105132937431335": 142, "7085862755775452": 142, "7066848874092102": 142, "704813539981842": 142, "7029685378074646": 142, "7011509537696838": 142, "699359118938446": 142, "6976435780525208": 142, "6959018111228943": 142, "6941841244697571": 142, "6924912333488464": 142, "69082111120224": 142, "6888899207115173": 142, "6872662901878357": 142, "0017762009520083666": 142, "001010894076898694": 142, "011987058445811272": 142, "0030011723283678293": 142, "00864727795124054": 142, "007450321689248085": 142, "03047851473093033": 142, "01491321250796318": 142, "03945372626185417": 142, "0011089048348367214": 142, "015075105242431164": 142, "016660399734973907": 142, "004985547158867121": 142, "004280455410480499": 142, "007053349632769823": 142, "006295125465840101": 142, "019220823422074318": 142, "0006172438734211028": 142, "005304714199155569": 142, "629922427237034e": 142, "0003992582205682993": 142, "009501755237579346": 142, "0008605793118476868": 142, "0007597997901029885": 142, "0032948567532002926": 142, "021135717630386353": 142, "016227466985583305": 142, "012472279369831085": 142, "04917291924357414": 142, "028542006388306618": 142, "00291489833034575": 142, "011701526120305061": 142, "021000303328037262": 142, "049038756638765335": 142, "08470936864614487": 142, "03160569816827774": 142, "001867830753326416": 142, "01346518937498331": 142, "017144635319709778": 142, "0005061428528279066": 142, "01040157675743103": 142, "0059401607140898705": 142, "02127121016383171": 142, "021184029057621956": 142, "006949105300009251": 142, "02702711522579193": 142, "02203688584268093": 142, "14564776420593262": 142, "01791367121040821": 142, "0027868293691426516": 142, "011906149797141552": 142, "02932654321193695": 142, "016160771250724792": 142, "017916696146130562": 142, "21661058068275452": 142, "25423750281333923": 142, "018391098827123642": 142, "16781935095787048": 142, "24107393622398376": 142, "040413014590740204": 142, "805023670196533": 142, "00677899457514286": 142, "950538635253906": 142, "3981257677078247": 142, "482216477394104": 142, "805866241455078": 142, "824042320251465": 142, "842925548553467": 142, "89134979248047": 142, "408105731010437": 142, "223750591278076": 142, "848997116088867": 142, "809173822402954": 142, "679786682128906": 142, "951379776000977": 142, "2941988706588745": 142, "986114501953125": 142, "058115005493164": 142, "644250869750977": 142, "011184862814843655": 142, "895357131958008": 142, "234397888183594": 142, "4382045269012451": 142, "82439422607422": 142, "64193868637085": 142, "833660840988159": 142, "887800216674805": 142, "246576309204102": 142, "23540735244751": 142, "830442428588867": 142, "656492233276367": 142, "648238658905029": 142, "893043518066406": 142, "293161392211914": 142, "061209201812744": 142, "834367752075195": 142, "480447769165039": 142, "0032738856971263885": 142, "935691833496094": 142, "039370059967041": 142, "444748878479004": 142, "82554817199707": 142, "453954696655273": 142, "8538317680358887": 142, "886354446411133": 142, "040446758270264": 142, "2388434410095215": 142, "83842658996582": 142, "500843048095703": 142, "694185733795166": 142, "959260940551758": 142, "026734828948975": 142, "0762715339660645": 142, "852678298950195": 142, "8634556531906128": 142, "416284084320068": 142, "90965461730957": 142, "314326763153076": 142, "286211967468262": 142, "81989097595215": 142, "9050320982933044": 142, "5919861793518066": 142, "5783398151397705": 142, "56760835647583": 142, "556894063949585": 142, "546950101852417": 142, "5371956825256348": 142, "5279788970947266": 142, "518968105316162": 142, "5105321407318115": 142, "5024662017822266": 142, "4947915077209473": 142, "4871926307678223": 142, "479642629623413": 142, "4727463722229004": 142, "4656751155853271": 142, "458615779876709": 142, "4517202377319336": 142, "4449150562286377": 142, "4382092952728271": 142, "4315464496612549": 142, "424942970275879": 142, "4185564517974854": 142, "412240982055664": 142, "406249761581421": 142, "4000623226165771": 142, "3942553997039795": 142, "3879928588867188": 142, "3819870948791504": 142, "3759419918060303": 142, "3700425624847412": 142, "3642001152038574": 142, "3584942817687988": 142, "3527493476867676": 142, "3469760417938232": 142, "3413255214691162": 142, "3356835842132568": 142, "3301198482513428": 142, "3248116970062256": 142, "3193418979644775": 142, "3139214515686035": 142, "308542013168335": 142, "3030083179473877": 142, "2977185249328613": 142, "2924776077270508": 142, "2872803211212158": 142, "2821259498596191": 142, "2770159244537354": 142, "271963119506836": 142, "2669486999511719": 142, "2619729042053223": 142, "257033348083496": 142, "2521486282348633": 142, "247541904449463": 142, "2427427768707275": 142, "2378525733947754": 142, "2331409454345703": 142, "2284717559814453": 142, "223844289779663": 142, "2192633152008057": 142, "2147207260131836": 142, "2102246284484863": 142, "2057404518127441": 142, "2013280391693115": 142, "1969592571258545": 142, "1926302909851074": 142, "188347578048706": 142, "1842241287231445": 142, "1800286769866943": 142, "1758763790130615": 142, "1716339588165283": 142, "167569875717163": 142, "1635453701019287": 142, "159566879272461": 142, "155627965927124": 142, "1517338752746582": 142, "1478800773620605": 142, "1441643238067627": 142, "1403956413269043": 142, "1366708278656006": 142, "1329865455627441": 142, "1293346881866455": 142, "125734567642212": 142, "1221747398376465": 142, "1186587810516357": 142, "1151816844940186": 142, "1119880676269531": 142, "1085917949676514": 142, "1052396297454834": 142, "1019277572631836": 142, "0986547470092773": 142, "095423698425293": 142, "0924324989318848": 142, "0892789363861084": 142, "0861690044403076": 142, "083096981048584": 142, "0800690650939941": 142, "0770037174224854": 142, "0740554332733154": 142, "0711469650268555": 142, "0682780742645264": 142, "0654513835906982": 142, "062664270401001": 142, "0599164962768555": 142, "0572013854980469": 142, "054619550704956": 142, "0519235134124756": 142, "0493335723876953": 142, "046781063079834": 142, "044267177581787": 142, "0418140888214111": 142, "0393803119659424": 142, "0369818210601807": 142, "0346157550811768": 142, "0322930812835693": 142, "030099630355835": 142, "0278501510620117": 142, "0256352424621582": 142, "0234589576721191": 142, "0212347507476807": 142, "0192170143127441": 142, "0171067714691162": 142, "0150783061981201": 142, "013085126876831": 142, "0111274719238281": 142, "0085070133209229": 142, "0066194534301758": 142, "0046586990356445": 142, "002838134765625": 142, "0010526180267334": 142, "9992993474006653": 142, "997580349445343": 142, "9958930611610413": 142, "9942404627799988": 142, "992617666721344": 142, "9910282492637634": 142, "9894701838493347": 142, "9879421591758728": 142, "9863647818565369": 142, "985733687877655": 142, "9842968583106995": 142, "9828872084617615": 142, "9801470637321472": 142, "9788181185722351": 142, "9775175452232361": 142, "9762429594993591": 142, "9749930500984192": 142, "9737688899040222": 142, "9725702404975891": 142, "9716807007789612": 142, "9705658555030823": 142, "9694769978523254": 142, "9684091210365295": 142, "9673652052879333": 142, "9663428664207458": 142, "9653419852256775": 142, "9643625617027283": 142, "9634056687355042": 142, "9624703526496887": 142, "961555540561676": 142, "9606596827507019": 142, "9597837328910828": 142, "9589282870292664": 142, "9580903649330139": 142, "9572715163230896": 142, "9564730525016785": 142, "9556916356086731": 142, "9549289345741272": 142, "9541820883750916": 142, "9536188244819641": 142, "9529058337211609": 142, "9522520899772644": 142, "9515705704689026": 142, "9509053826332092": 142, "9502560496330261": 142, "9496216177940369": 142, "9490697979927063": 142, "9482341408729553": 142, "9476438164710999": 142, "9470682740211487": 142, "9465053677558899": 142, "9460455775260925": 142, "9455046057701111": 142, "944976270198822": 142, "9444617629051208": 142, "9440684914588928": 142, "9435796141624451": 142, "9430812001228333": 142, "9426116347312927": 142, "9421553015708923": 142, "9417083859443665": 142, "9412743449211121": 142, "9408488869667053": 142, "9404336810112": 142, "9400292038917542": 142, "9396330714225769": 142, "9392468333244324": 142, "9388696551322937": 142, "9385012984275818": 142, "9381416440010071": 142, "9377898573875427": 142, "9374473690986633": 142, "9371119141578674": 142, "9367837309837341": 142, "9364616274833679": 142, "9361483454704285": 142, "9357412457466125": 142, "935441792011261": 142, "9351463913917542": 142, "9348569512367249": 142, "9345722794532776": 142, "9341017603874207": 142, "933776319026947": 142, "9335013031959534": 142, "9332308173179626": 142, "9329612851142883": 142, "9326961636543274": 142, "9324690699577332": 142, "932208240032196": 142, "9319484829902649": 142, "9317112565040588": 142, "9314553141593933": 142, "9311988949775696": 142, "9309433102607727": 142, "9306877255439758": 142, "9304332137107849": 142, "9301778674125671": 142, "9299212098121643": 142, "9294849038124084": 142, "9292263388633728": 142, "928966224193573": 142, "928705632686615": 142, "9284436106681824": 142, "9281790852546692": 142, "9279138445854187": 142, "9276458621025085": 142, "9276089072227478": 142, "927338182926178": 142, "9270638823509216": 142, "926786482334137": 142, "9265063405036926": 142, "9262223839759827": 142, "9259355664253235": 142, "9256461262702942": 142, "9253525137901306": 142, "9250542521476746": 142, "9247531294822693": 142, "9244479537010193": 142, "9241389632225037": 142, "923825204372406": 142, "9235069155693054": 142, "9231845736503601": 142, "9228581786155701": 142, "922527015209198": 142, "9221917986869812": 142, "9218519330024719": 142, "9215076565742493": 142, "9211614727973938": 142, "9208115935325623": 142, "9204577803611755": 142, "9201021790504456": 142, "9197421669960022": 142, "9194298386573792": 142, "919065535068512": 142, "9186978936195374": 142, "9183294177055359": 142, "9179567694664001": 142, "9175835251808167": 142, "9172080159187317": 142, "9168304800987244": 142, "9164515137672424": 142, "916071355342865": 142, "9151989817619324": 142, "9148176312446594": 142, "9144344925880432": 142, "914080798625946": 142, "9136963486671448": 142, "9133105874061584": 142, "9129257798194885": 142, "9125412106513977": 142, "9120308756828308": 142, "9116477370262146": 142, "9112672209739685": 142, "9108874201774597": 142, "9103731513023376": 142, "909997284412384": 142, "9096229672431946": 142, "9092504382133484": 142, "9088801741600037": 142, "9085107445716858": 142, "9082408547401428": 142, "9078767895698547": 142, "9075141549110413": 142, "9071539044380188": 142, "9067959189414978": 142, "9064392447471619": 142, "9060855507850647": 142, "9057332873344421": 142, "9053834080696106": 142, "0025117145851254463": 142, "006202481687068939": 142, "00496427807956934": 142, "008465414866805077": 142, "07771777361631393": 142, "07884269952774048": 142, "004634316544979811": 142, "022047189995646477": 142, "03519628196954727": 142, "013677042908966541": 142, "023751769214868546": 142, "03685707226395607": 142, "002912574214860797": 142, "027641426771879196": 142, "0013619797537103295": 142, "007828008383512497": 142, "008761726319789886": 142, "07775052636861801": 142, "006068678572773933": 142, "004322189837694168": 142, "029219280928373337": 142, "010367801412940025": 142, "02176889032125473": 142, "06787554919719696": 142, "0033529717475175858": 142, "009863645769655704": 142, "03703339770436287": 142, "011740297079086304": 142, "002005935413762927": 142, "053497809916734695": 142, "018974358215928078": 142, "0037538285832852125": 142, "027954280376434326": 142, "04453442618250847": 142, "0015016248216852546": 142, "05484316870570183": 142, "012363992631435394": 142, "014912092126905918": 142, "010197539813816547": 142, "00583611661568284": 142, "018178803846240044": 142, "0613928847014904": 142, "004495440516620874": 142, "036498814821243286": 142, "03503824770450592": 142, "0005909139872528613": 142, "005384492222219706": 142, "05086188763380051": 142, "038306258618831635": 142, "047215867787599564": 142, "029853492975234985": 142, "012327846139669418": 142, "018074212595820427": 142, "040089525282382965": 142, "07325886934995651": 142, "0020039465744048357": 142, "07333112508058548": 142, "042096611112356186": 142, "004011910408735275": 142, "22601889073848724": 142, "878702402114868": 142, "03985857591032982": 142, "977935791015625": 142, "414346694946289": 142, "417339563369751": 142, "85541343688965": 142, "845106363296509": 142, "8155128955841064": 142, "92786979675293": 142, "4164437055587769": 142, "222653865814209": 142, "849809646606445": 142, "852065086364746": 142, "64076566696167": 142, "949922561645508": 142, "420624852180481": 142, "045896053314209": 142, "860031127929688": 142, "654505729675293": 142, "003555464092642069": 142, "91847038269043": 142, "259917736053467": 142, "4318567514419556": 142, "88149070739746": 142, "649898529052734": 142, "820443630218506": 142, "907472610473633": 142, "249104022979736": 142, "16121768951416": 142, "91093635559082": 142, "635655879974365": 142, "651206016540527": 142, "95823860168457": 142, "240786552429199": 142, "186787128448486": 142, "012502670288086": 142, "505584716796875": 142, "010905358009040356": 142, "8898868560791": 142, "081875324249268": 142, "4164937734603882": 142, "84214210510254": 142, "484397888183594": 142, "8137612342834473": 142, "892427444458008": 142, "106243133544922": 142, "207867622375488": 142, "82007598876953": 142, "48715877532959": 142, "636974811553955": 142, "897226333618164": 142, "141327381134033": 142, "0848708152771": 142, "799951553344727": 142, "713958263397217": 142, "080686569213867": 142, "651308059692383": 142, "65228271484375": 142, "311371803283691": 142, "863414764404297": 142, "8375563025474548": 142, "6734287738800049": 142, "6553046703338623": 142, "6424717903137207": 142, "6303791999816895": 142, "6189765930175781": 142, "6075544357299805": 142, "5964851379394531": 142, "5860586166381836": 142, "5755584239959717": 142, "565298080444336": 142, "5555260181427002": 142, "5455775260925293": 142, "5360610485076904": 142, "5268540382385254": 142, "5177505016326904": 142, "5089538097381592": 142, "5001344680786133": 142, "4915807247161865": 142, "4830982685089111": 142, "4747669696807861": 142, "4665813446044922": 142, "4584417343139648": 142, "4504783153533936": 142, "4429006576538086": 142, "4357106685638428": 142, "4288091659545898": 142, "422297716140747": 142, "4159398078918457": 142, "4096870422363281": 142, "4038448333740234": 142, "3981990814208984": 142, "392770528793335": 142, "3875291347503662": 142, "3824632167816162": 142, "3775596618652344": 142, "3728127479553223": 142, "3682079315185547": 142, "363914966583252": 142, "3595752716064453": 142, "3553590774536133": 142, "3512609004974365": 142, "347102403640747": 142, "3432245254516602": 142, "3394463062286377": 142, "335766077041626": 142, "3321754932403564": 142, "3286733627319336": 142, "3252358436584473": 142, "321899652481079": 142, "3183848857879639": 142, "3151991367340088": 142, "3120815753936768": 142, "309030532836914": 142, "305908441543579": 142, "302978515625": 142, "3001062870025635": 142, "2971527576446533": 142, "2942891120910645": 142, "291578769683838": 142, "288914680480957": 142, "286294937133789": 142, "2837176322937012": 142, "2811813354492188": 142, "278684377670288": 142, "2762231826782227": 142, "273798942565918": 142, "2714061737060547": 142, "2690439224243164": 142, "2668745517730713": 142, "2645716667175293": 142, "2622947692871094": 142, "2599997520446777": 142, "257772445678711": 142, "2555675506591797": 142, "2533972263336182": 142, "2512280941009521": 142, "2489891052246094": 142, "2469508647918701": 142, "2448298931121826": 142, "24271821975708": 142, "2406156063079834": 142, "2380731105804443": 142, "235992431640625": 142, "2339630126953125": 142, "2319812774658203": 142, "2300543785095215": 142, "2281582355499268": 142, "2262992858886719": 142, "2244758605957031": 142, "2229087352752686": 142, "2211525440216064": 142, "2194249629974365": 142, "217724084854126": 142, "2160470485687256": 142, "2145164012908936": 142, "212883710861206": 142, "2112667560577393": 142, "2096667289733887": 142, "2065107822418213": 142, "204951286315918": 142, "2034008502960205": 142, "201859951019287": 142, "2003259658813477": 142, "1986925601959229": 142, "197171688079834": 142, "1956541538238525": 142, "194141149520874": 142, "1911218166351318": 142, "1896142959594727": 142, "1881084442138672": 142, "1866014003753662": 142, "1850967407226562": 142, "1835901737213135": 142, "182084560394287": 142, "1804804801940918": 142, "1789722442626953": 142, "177461862564087": 142, "175950527191162": 142, "1744365692138672": 142, "1729207038879395": 142, "1714022159576416": 142, "1698791980743408": 142, "1685683727264404": 142, "1670429706573486": 142, "165515422821045": 142, "163984775543213": 142, "1624503135681152": 142, "1609129905700684": 142, "1593713760375977": 142, "158113718032837": 142, "1565628051757812": 142, "1550078392028809": 142, "1534488201141357": 142, "1518828868865967": 142, "1503112316131592": 142, "148733377456665": 142, "1471483707427979": 142, "1455562114715576": 142, "1439554691314697": 142, "1423461437225342": 142, "1407287120819092": 142, "1391022205352783": 142, "137465000152588": 142, "1358182430267334": 142, "1341614723205566": 142, "1324944496154785": 142, "1308164596557617": 142, "1291279792785645": 142, "1274285316467285": 142, "125718116760254": 142, "1239981651306152": 142, "1222662925720215": 142, "120525598526001": 142, "1187739372253418": 142, "117013931274414": 142, "115243673324585": 142, "1135094165802002": 142, "1117219924926758": 142, "1099259853363037": 142, "1081228256225586": 142, "1063120365142822": 142, "1044962406158447": 142, "1026740074157715": 142, "1008472442626953": 142, "0990147590637207": 142, "0953397750854492": 142, "0934956073760986": 142, "0916504859924316": 142, "089801549911499": 142, "087951898574829": 142, "086099624633789": 142, "0841755867004395": 142, "0823173522949219": 142, "0804567337036133": 142, "0785956382751465": 142, "0767321586608887": 142, "0748682022094727": 142, "0730037689208984": 142, "071136474609375": 142, "0692691802978516": 142, "067399501800537": 142, "0655279159545898": 142, "0636558532714844": 142, "0617806911468506": 142, "0596511363983154": 142, "0577142238616943": 142, "0558502674102783": 142, "053985357284546": 142, "052117109298706": 142, "050248622894287": 142, "0483789443969727": 142, "0465068817138672": 142, "044635534286499": 142, "0427601337432861": 142, "0408856868743896": 142, "0390098094940186": 142, "0370018482208252": 142, "0351214408874512": 142, "0332400798797607": 142, "0313575267791748": 142, "0294725894927979": 142, "0275862216949463": 142, "0256972312927246": 142, "023805856704712": 142, "0219130516052246": 142, "020017147064209": 142, "0181188583374023": 142, "016218662261963": 142, "0143160820007324": 142, "0124096870422363": 142, "0105013847351074": 142, "0085899829864502": 142, "0066766738891602": 142, "0028421878814697": 142, "000920295715332": 142, "9989953637123108": 142, "9970676302909851": 142, "9951388239860535": 142, "9932045340538025": 142, "9915297627449036": 142, "9895949959754944": 142, "9876582026481628": 142, "9857169985771179": 142, "9837744832038879": 142, "9817922711372375": 142, "9798051714897156": 142, "977857768535614": 142, "9758583903312683": 142, "9739055037498474": 142, "9721274971961975": 142, "9682027697563171": 142, "9662360548973083": 142, "964264452457428": 142, "9622896313667297": 142, "9603119492530823": 142, "9583287835121155": 142, "9563425183296204": 142, "9543518424034119": 142, "9523577094078064": 142, "9503598809242249": 142, "9481790661811829": 142, "9462104439735413": 142, "9442011713981628": 142, "9421891570091248": 142, "9401722550392151": 142, "9381510615348816": 142, "9361254572868347": 142, "9340961575508118": 142, "9320632815361023": 142, "9300268292427063": 142, "9279859662055969": 142, "9259421229362488": 142, "9238939881324768": 142, "921842634677887": 142, "9197874665260315": 142, "9177296757698059": 142, "9156672358512878": 142, "9136019349098206": 142, "91153484582901": 142, "9094623923301697": 142, "9073880314826965": 142, "9053085446357727": 142, "9032263159751892": 142, "9011397957801819": 142, "8990485072135925": 142, "8969538807868958": 142, "8948542475700378": 142, "8927502036094666": 142, "8906416296958923": 142, "8885273337364197": 142, "8864074349403381": 142, "8843229413032532": 142, "8821926712989807": 142, "8800556063652039": 142, "8779135346412659": 142, "8757839798927307": 142, "8736656308174133": 142, "8715588450431824": 142, "8694637417793274": 142, "8673784136772156": 142, "8653039336204529": 142, "863240659236908": 142, "8611870408058167": 142, "8591445088386536": 142, "857111394405365": 142, "8550880551338196": 142, "8530740141868591": 142, "8510702252388": 142, "8490754961967468": 142, "8470879197120667": 142, "845294177532196": 142, "8433229327201843": 142, "8413600325584412": 142, "8394041657447815": 142, "025357170030474663": 142, "04088619723916054": 142, "038834791630506516": 142, "009403981268405914": 142, "002104100538417697": 142, "0157197043299675": 142, "02020961232483387": 142, "036555781960487366": 142, "030677100643515587": 142, "010854375548660755": 142, "0069786845706403255": 142, "0208857711404562": 142, "008839186280965805": 142, "008296293206512928": 142, "01855519972741604": 142, "009091301821172237": 142, "01796053536236286": 142, "0024057242553681135": 142, "004035780671983957": 142, "007182433269917965": 142, "004471395164728165": 142, "003246529959142208": 142, "03380083665251732": 142, "012037483975291252": 142, "003111892845481634": 142, "025634640827775": 142, "028697336092591286": 142, "07089757919311523": 142, "09438831359148026": 142, "1274171769618988": 142, "0015691414009779692": 142, "009368907660245895": 142, "004091575276106596": 142, "006542553193867207": 142, "03921489417552948": 142, "01543993316590786": 142, "0122537137940526": 142, "002504253527149558": 142, "0062466771341860294": 142, "011358608491718769": 142, "002647919813171029": 142, "017436010763049126": 142, "00140199379529804": 142, "00883281510323286": 142, "012212516739964485": 142, "016969341784715652": 142, "040046121925115585": 142, "04733064025640488": 142, "0058967252261936665": 142, "007437625899910927": 142, "013427228666841984": 142, "06861835718154907": 142, "020015662536025047": 142, "050892386585474014": 142, "28216734528541565": 142, "04301542043685913": 142, "015292886644601822": 142, "18858550488948822": 142, "2994098663330078": 142, "10977838188409805": 142, "8222975730895996": 142, "026781145483255386": 142, "9415283203125": 142, "5971136093139648": 142, "4243115186691284": 142, "00445556640625": 142, "8271548748016357": 142, "8118820190429688": 142, "931245803833008": 142, "4383143186569214": 142, "265547275543213": 142, "830350875854492": 142, "834615707397461": 142, "6521897315979": 142, "887975692749023": 142, "4319114685058594": 142, "034818649291992": 142, "83274269104004": 142, "671359539031982": 142, "026216892525553703": 142, "94278907775879": 142, "2743821144104": 142, "4221975803375244": 142, "88138771057129": 142, "66914176940918": 142, "8131914138793945": 142, "93330192565918": 142, "246695518493652": 142, "259239673614502": 142, "840293884277344": 142, "6425604820251465": 142, "650752544403076": 142, "8903751373291": 142, "243479251861572": 142, "045315742492676": 142, "84356689453125": 142, "476969718933105": 142, "03386745974421501": 142, "96660041809082": 142, "965387344360352": 142, "4432305097579956": 142, "00682830810547": 142, "479134559631348": 142, "80110239982605": 142, "959623336791992": 142, "058762073516846": 142, "268498420715332": 142, "835708618164062": 142, "468843460083008": 142, "649560928344727": 142, "900609970092773": 142, "054006099700928": 142, "0384111404418945": 142, "836200714111328": 142, "05556401610374451": 142, "4341545104980469": 142, "45844268798828": 142, "12075717747211456": 142, "3540852069854736": 142, "798803329467773": 142, "419442355632782": 142, "2983589172363281": 142, "286651611328125": 142, "2752718925476074": 142, "2637395858764648": 142, "2429590225219727": 142, "2333121299743652": 142, "2239561080932617": 142, "2148065567016602": 142, "2060201168060303": 142, "1972744464874268": 142, "1888208389282227": 142, "1806015968322754": 142, "1723194122314453": 142, "1641480922698975": 142, "1560676097869873": 142, "1480355262756348": 142, "1401622295379639": 142, "1323308944702148": 142, "1255183219909668": 142, "1179742813110352": 142, "1104278564453125": 142, "0954341888427734": 142, "0881109237670898": 142, "0809693336486816": 142, "0737049579620361": 142, "0667400360107422": 142, "059870958328247": 142, "0531129837036133": 142, "0464327335357666": 142, "039881944656372": 142, "033435344696045": 142, "0270886421203613": 142, "0208404064178467": 142, "0146870613098145": 142, "0086236000061035": 142, "0026555061340332": 142, "9968124032020569": 142, "9910175204277039": 142, "9853206276893616": 142, "9797080159187317": 142, "9741795659065247": 142, "9687338471412659": 142, "9633385539054871": 142, "9580497145652771": 142, "9528525471687317": 142, "9478541016578674": 142, "9427853226661682": 142, "9377886652946472": 142, "9328616261482239": 142, "9280022978782654": 142, "923210084438324": 142, "9185965657234192": 142, "9140775799751282": 142, "9094782471656799": 142, "9050084948539734": 142, "9005138278007507": 142, "8960891366004944": 142, "891719400882721": 142, "8874017596244812": 142, "8830727934837341": 142, "8790680766105652": 142, "8749050498008728": 142, "8707919716835022": 142, "8663775324821472": 142, "8623601794242859": 142, "8583918213844299": 142, "8544686436653137": 142, "8506245017051697": 142, "8467966914176941": 142, "8431273102760315": 142, "8393006920814514": 142, "8356078267097473": 142, "8319048285484314": 142, "8282982707023621": 142, "8247290253639221": 142, "8211984038352966": 142, "8177043795585632": 142, "8142444491386414": 142, "8108190894126892": 142, "8074234127998352": 142, "8040580153465271": 142, "8002728819847107": 142, "7969619631767273": 142, "7936753630638123": 142, "7904109358787537": 142, "7871696352958679": 142, "7839488387107849": 142, "7807480692863464": 142, "7775675654411316": 142, "774405300617218": 142, "7711772322654724": 142, "7680529952049255": 142, "7649454474449158": 142, "7618564963340759": 142, "758784830570221": 142, "7542540431022644": 142, "7512474656105042": 142, "7482600808143616": 142, "7452860474586487": 142, "7425287365913391": 142, "7392707467079163": 142, "7363398671150208": 142, "7334257960319519": 142, "7305276989936829": 142, "7276449799537659": 142, "7245987057685852": 142, "7217465043067932": 142, "7189165949821472": 142, "7158449292182922": 142, "7130401730537415": 142, "7102507948875427": 142, "7074777483940125": 142, "7048950791358948": 142, "7021518349647522": 142, "6994821429252625": 142, "6967698931694031": 142, "6940736174583435": 142, "6913923621177673": 142, "6887241005897522": 142, "6860710978507996": 142, "6834542155265808": 142, "6808258891105652": 142, "678211510181427": 142, "6756075024604797": 142, "673015296459198": 142, "6704344153404236": 142, "667866051197052": 142, "6653086543083191": 142, "6627610325813293": 142, "660224974155426": 142, "6576980948448181": 142, "655182421207428": 142, "6526771187782288": 142, "6501813530921936": 142, "6476952433586121": 142, "6452187895774841": 142, "6428201794624329": 142, "6403612494468689": 142, "6379116177558899": 142, "6354438662528992": 142, "633011519908905": 142, "6305873990058899": 142, "6281713843345642": 142, "6262680888175964": 142, "623867928981781": 142, "6214757561683655": 142, "6190899014472961": 142, "6167135834693909": 142, "6143442988395691": 142, "6119845509529114": 142, "6098913550376892": 142, "6075465083122253": 142, "6052109599113464": 142, "602968156337738": 142, "6006531119346619": 142, "5983472466468811": 142, "5960519909858704": 142, "5937672257423401": 142, "5914931893348694": 142, "589231550693512": 142, "5869809985160828": 142, "584743082523346": 142, "5825170874595642": 142, "5800643563270569": 142, "5778653025627136": 142, "5756787657737732": 142, "5735065340995789": 142, "5713477730751038": 142, "569201648235321": 142, "5670691132545471": 142, "5649517178535461": 142, "562905490398407": 142, "5608735680580139": 142, "5587971806526184": 142, "5566127896308899": 142, "5545633435249329": 142, "5525283217430115": 142, "5505082011222839": 142, "5485026240348816": 142, "5465120673179626": 142, "5445355772972107": 142, "5425752997398376": 142, "5405742526054382": 142, "5386462807655334": 142, "5367342829704285": 142, "5348389744758606": 142, "5329615473747253": 142, "5311015248298645": 142, "5292595028877258": 142, "5274356007575989": 142, "5256311297416687": 142, "5238463282585144": 142, "5220806002616882": 142, "5203360915184021": 142, "518610417842865": 142, "5169060826301575": 142, "5152216553688049": 142, "5135570168495178": 142, "5119121670722961": 142, "5102890133857727": 142, "5086833834648132": 142, "5070980191230774": 142, "505531370639801": 142, "5039824843406677": 142, "5024519562721252": 142, "5009389519691467": 142, "4994423985481262": 142, "4978817105293274": 142, "49641352891921997": 142, "49495917558670044": 142, "4932404160499573": 142, "49181121587753296": 142, "4903929829597473": 142, "4889879822731018": 142, "48759371042251587": 142, "4862101674079895": 142, "48483794927597046": 142, "4834262728691101": 142, "48191720247268677": 142, "48057812452316284": 142, "4792472720146179": 142, "4779265522956848": 142, "47661536931991577": 142, "4753139615058899": 142, "4740141034126282": 142, "4727335572242737": 142, "47146278619766235": 142, "4701041579246521": 142, "4688555598258972": 142, "46761804819107056": 142, "4666646122932434": 142, "46545058488845825": 142, "4642488360404968": 142, "46306079626083374": 142, "46188658475875854": 142, "4607251286506653": 142, "45961636304855347": 142, "45831984281539917": 142, "4572003483772278": 142, "4560961127281189": 142, "45500606298446655": 142, "4539322257041931": 142, "45289260149002075": 142, "45184987783432007": 142, "45082396268844604": 142, "4498130679130554": 142, "448819100856781": 142, "4480956196784973": 142, "4471384882926941": 142, "4462006688117981": 142, "44528132677078247": 142, "4443814158439636": 142, "44349974393844604": 142, "4426373839378357": 142, "44179099798202515": 142, "44096237421035767": 142, "44011563062667847": 142, "43915826082229614": 142, "4383806586265564": 142, "4376186728477478": 142, "43687254190444946": 142, "43614131212234497": 142, "43546634912490845": 142, "43476444482803345": 142, "43407636880874634": 142, "43328672647476196": 142, "43256694078445435": 142, "431918203830719": 142, "4312823414802551": 142, "43065983057022095": 142, "4300505518913269": 142, "42945438623428345": 142, "4288709759712219": 142, "42830032110214233": 142, "4277423024177551": 142, "42719680070877075": 142, "4266638159751892": 142, "4261440634727478": 142, "42563706636428833": 142, "4251421093940735": 142, "42466026544570923": 142, "42419153451919556": 142, "4237355589866638": 142, "42329245805740356": 142, "42286235094070435": 142, "42216092348098755": 142, "42175835371017456": 142, "4213675856590271": 142, "42099183797836304": 142, "4209241271018982": 142, "42083555459976196": 142, "42060333490371704": 142, "4202823042869568": 142, "4198468327522278": 142, "41954535245895386": 142, "4197074770927429": 142, "019962793216109276": 142, "028682328760623932": 142, "02963561937212944": 142, "08574631810188293": 142, "03741435334086418": 142, "08736483752727509": 142, "003619936527684331": 142, "0015115768183022738": 142, "00082726264372468": 142, "006502890028059483": 142, "03167591989040375": 142, "048400506377220154": 142, "002766580553725362": 142, "01240340806543827": 142, "018507735803723335": 142, "007254396099597216": 142, "0004256778338458389": 142, "03364042937755585": 142, "016235966235399246": 142, "01857670582830906": 142, "019978681579232216": 142, "036211688071489334": 142, "010083246044814587": 142, "014703280292451382": 142, "013059829361736774": 142, "0058929272927343845": 142, "005537309218198061": 142, "0008344895904883742": 142, "006283131893724203": 142, "035757288336753845": 142, "003219290403649211": 142, "006209691055119038": 142, "013960372656583786": 142, "0012714198091998696": 142, "0022740482818335295": 142, "034397631883621216": 142, "0011471197940409184": 142, "0162594523280859": 142, "018071288242936134": 142, "026705902069807053": 142, "015109144151210785": 142, "07958308607339859": 142, "0023074615746736526": 142, "005856222938746214": 142, "009334864094853401": 142, "004545547999441624": 142, "016218455508351326": 142, "039211455732584": 142, "0037219817750155926": 142, "006651753094047308": 142, "015250821597874165": 142, "00010810009553097188": 142, "0014171836664900184": 142, "027526050806045532": 142, "07500127702951431": 142, "04111488163471222": 142, "01820029690861702": 142, "14442744851112366": 142, "017698466777801514": 142, "05239382013678551": 142, "843287229537964": 142, "028343312442302704": 142, "955896377563477": 142, "3955199718475342": 142, "419650912284851": 142, "831928253173828": 142, "8204684257507324": 142, "8145594596862793": 142, "896467208862305": 142, "396994948387146": 142, "219619274139404": 142, "822494506835938": 142, "8479208946228027": 142, "662301063537598": 142, "96750259399414": 142, "3736238479614258": 142, "0636491775512695": 142, "833677291870117": 142, "6118316650390625": 142, "03659474849700928": 142, "95472526550293": 142, "232574939727783": 142, "4466626644134521": 142, "86372184753418": 142, "643750190734863": 142, "8097751140594482": 142, "891687393188477": 142, "241091728210449": 142, "169438362121582": 142, "837488174438477": 142, "621159076690674": 142, "655276298522949": 142, "950773239135742": 142, "38579797744751": 142, "215719699859619": 142, "104427337646484": 142, "45811653137207": 142, "003923226613551378": 142, "89026641845703": 142, "067325115203857": 142, "4250671863555908": 142, "836807250976562": 142, "462225914001465": 142, "818281650543213": 142, "885889053344727": 142, "063267230987549": 142, "217914581298828": 142, "82862091064453": 142, "462921142578125": 142, "642268657684326": 142, "896787643432617": 142, "09739875793457": 142, "05817985534668": 142, "85266876220703": 142, "9552114009857178": 142, "447455406188965": 142, "895244598388672": 142, "37330961227417": 142, "025630474090576": 142, "56875228881836": 142, "8956875205039978": 142, "2818458080291748": 142, "2692508697509766": 142, "2589850425720215": 142, "2490437030792236": 142, "2394921779632568": 142, "230074167251587": 142, "2210464477539062": 142, "2121307849884033": 142, "2032520771026611": 142, "1945343017578125": 142, "1859545707702637": 142, "177797555923462": 142, "1696889400482178": 142, "1617016792297363": 142, "1537995338439941": 142, "1462502479553223": 142, "138918399810791": 142, "131917953491211": 142, "1255569458007812": 142, "1187465190887451": 142, "1120784282684326": 142, "105625867843628": 142, "0993051528930664": 142, "093125343322754": 142, "0870893001556396": 142, "0811903476715088": 142, "0753321647644043": 142, "0696990489959717": 142, "0641992092132568": 142, "0589563846588135": 142, "0537142753601074": 142, "048485279083252": 142, "0434043407440186": 142, "0384631156921387": 142, "033665657043457": 142, "0290486812591553": 142, "0245487689971924": 142, "0203006267547607": 142, "0160887241363525": 142, "0121400356292725": 142, "0083396434783936": 142, "0047407150268555": 142, "001220464706421": 142, "9982134699821472": 142, "9950026869773865": 142, "9919251799583435": 142, "9891112446784973": 142, "9864433407783508": 142, "9839171767234802": 142, "9815708994865417": 142, "9792768359184265": 142, "9771459698677063": 142, "9754026532173157": 142, "9735346436500549": 142, "9717510342597961": 142, "9700688719749451": 142, "9684529900550842": 142, "9669517874717712": 142, "9655309319496155": 142, "96433025598526": 142, "9630483984947205": 142, "9618237614631653": 142, "9606499075889587": 142, "9598484635353088": 142, "958856999874115": 142, "9577870965003967": 142, "9567421078681946": 142, "955719530582428": 142, "9547144770622253": 142, "9537255167961121": 142, "9527480006217957": 142, "9517819285392761": 142, "950803816318512": 142, "9499550461769104": 142, "9490181803703308": 142, "9480897784233093": 142, "9471719861030579": 142, "9462628960609436": 142, "9453628659248352": 142, "9444758296012878": 142, "9435996413230896": 142, "9426901936531067": 142, "9418368935585022": 142, "9410234093666077": 142, "9401935935020447": 142, "9393752217292786": 142, "9385691285133362": 142, "9377755522727966": 142, "9369922280311584": 142, "9362195134162903": 142, "9354577660560608": 142, "9347065091133118": 142, "9339655041694641": 142, "9331838488578796": 142, "9324589371681213": 142, "9317418932914734": 142, "9309329390525818": 142, "9302329421043396": 142, "9295390248298645": 142, "9288538098335266": 142, "9281733632087708": 142, "9275007843971252": 142, "9268363118171692": 142, "9261775612831116": 142, "9255253672599792": 142, "9248798489570618": 142, "9242029786109924": 142, "9235785603523254": 142, "9229603409767151": 142, "9223478436470032": 142, "9219639897346497": 142, "9213659167289734": 142, "9207744002342224": 142, "9201895594596863": 142, "9196006655693054": 142, "9190295338630676": 142, "9184619784355164": 142, "9179880023002625": 142, "9174322485923767": 142, "9168824553489685": 142, "9163375496864319": 142, "9158009886741638": 142, "9152707457542419": 142, "9147475361824036": 142, "9142308831214905": 142, "913722574710846": 142, "9132217764854431": 142, "9127288460731506": 142, "9122447371482849": 142, "9117687344551086": 142, "9113005995750427": 142, "9108427166938782": 142, "9103931784629822": 142, "9099529385566711": 142, "9095221161842346": 142, "9091014266014099": 142, "9086911082267761": 142, "9082911610603333": 142, "9079026579856873": 142, "9075250029563904": 142, "9071587920188904": 142, "9068023562431335": 142, "9064574837684631": 142, "9061246514320374": 142, "9058029055595398": 142, "9054928421974182": 142, "9051926732063293": 142, "904904305934906": 142, "9046273827552795": 142, "9043617844581604": 142, "904107391834259": 142, "9038637280464172": 142, "9036298394203186": 142, "9034073948860168": 142, "9033063054084778": 142, "9031044840812683": 142, "9029108881950378": 142, "902725875377655": 142, "902550995349884": 142, "9023829102516174": 142, "9022238850593567": 142, "9002992510795593": 142, "9001602530479431": 142, "9000292420387268": 142, "8999035954475403": 142, "8997848629951477": 142, "899651825428009": 142, "8995465636253357": 142, "8994466662406921": 142, "8993526101112366": 142, "8992646336555481": 142, "8991809487342834": 142, "8991029858589172": 142, "8990303874015808": 142, "8989625573158264": 142, "8988999724388123": 142, "8988415598869324": 142, "8987898230552673": 142, "8987428545951843": 142, "8987005352973938": 142, "8986634612083435": 142, "8984218239784241": 142, "8983929753303528": 142, "8983717560768127": 142, "8983556628227234": 142, "898345410823822": 142, "8983392119407654": 142, "8983399271965027": 142, "8983448147773743": 142, "8983561396598816": 142, "8983719944953918": 142, "8983766436576843": 142, "8983998894691467": 142, "8984270691871643": 142, "8984581828117371": 142, "8984934687614441": 142, "8985313773155212": 142, "8985727429389954": 142, "8986157774925232": 142, "8986615538597107": 142, "898709237575531": 142, "8987573981285095": 142, "8988057971000671": 142, "8988550305366516": 142, "8989042639732361": 142, "8989517092704773": 142, "8989984393119812": 142, "8990426659584045": 142, "8989012837409973": 142, "8989410996437073": 142, "8989775776863098": 142, "8990126252174377": 142, "8989325165748596": 142, "8989582657814026": 142, "899285614490509": 142, "8994869589805603": 142, "899502694606781": 142, "8995125889778137": 142, "8995171189308167": 142, "899516761302948": 142, "8995105624198914": 142, "8995001912117004": 142, "8994835019111633": 142, "8994616866111755": 142, "8994356989860535": 142, "8994086384773254": 142, "8993714451789856": 142, "8993293642997742": 142, "8992817997932434": 142, "8992324471473694": 142, "8991784453392029": 142, "8993557095527649": 142, "8992944359779358": 142, "8992331624031067": 142, "8991661667823792": 142, "899097740650177": 142, "8990280032157898": 142, "8989554047584534": 142, "8988822102546692": 142, "8988072276115417": 142, "8987314105033875": 142, "89873868227005": 142, "8988153338432312": 142, "898737370967865": 142, "8986591696739197": 142, "8985967040061951": 142, "8985199332237244": 142, "898442804813385": 142, "8982612490653992": 142, "8981873393058777": 142, "898070752620697": 142, "8979973196983337": 142, "8979249596595764": 142, "8978551030158997": 142, "8977866768836975": 142, "89771968126297": 142, "8976556658744812": 142, "8973919749259949": 142, "8973326086997986": 142, "8972765803337097": 142, "8972219824790955": 142, "8971717953681946": 142, "8968848586082458": 142, "8968413472175598": 142, "8967999815940857": 142, "8968507647514343": 142, "8968154788017273": 142, "8967824578285217": 142, "8969050049781799": 142, "8968774676322937": 142, "8972335457801819": 142, "8972087502479553": 142, "8971858620643616": 142, "8972812294960022": 142, "8972086310386658": 142, "8977521061897278": 142, "8977858424186707": 142, "8978402018547058": 142, "8978368639945984": 142, "8978374600410461": 142, "8978386521339417": 142, "897337019443512": 142, "8973492980003357": 142, "895772397518158": 142, "8957805037498474": 142, "8957868218421936": 142, "8957945704460144": 142, "8958030343055725": 142, "8958106637001038": 142, "8958187699317932": 142, "8958277106285095": 142, "8958376049995422": 142, "8958469033241272": 142, "895855724811554": 142, "8958638310432434": 142, "8958724141120911": 142, "8956648707389832": 142, "8956722617149353": 142, "8956800103187561": 142, "00017374320304952562": 142, "008619028143584728": 142, "006404852960258722": 142, "015034923329949379": 142, "3721752111450769e": 142, "04868602752685547": 142, "002480876399204135": 142, "0021587905939668417": 142, "027418291196227074": 142, "014723156578838825": 142, "0060295527800917625": 142, "051405709236860275": 142, "007861894555389881": 142, "011516440659761429": 142, "008583517745137215": 142, "019791018217802048": 142, "005026024766266346": 142, "03506701812148094": 142, "009785357862710953": 142, "012116469442844391": 142, "012332430109381676": 142, "007538995705544949": 142, "0035740425810217857": 142, "028909096494317055": 142, "006482988595962524": 142, "005943270865827799": 142, "028594324365258217": 142, "0033427292946726084": 142, "024787092581391335": 142, "031147029250860214": 142, "01004276517778635": 142, "0001630956685403362": 142, "008368605747818947": 142, "0881609171628952": 142, "07780340313911438": 142, "04610811918973923": 142, "008483021520078182": 142, "0020960657857358456": 142, "029082100838422775": 142, "0033664535731077194": 142, "0015571312978863716": 142, "04470391198992729": 142, "004704754333943129": 142, "0024834759533405304": 142, "03578566759824753": 142, "006095839198678732": 142, "010255721397697926": 142, "048772264271974564": 142, "005435196217149496": 142, "0006214937893673778": 142, "02837769128382206": 142, "014227920211851597": 142, "006103677675127983": 142, "029847964644432068": 142, "08654263615608215": 142, "1516864001750946": 142, "018814850598573685": 142, "0523027703166008": 142, "058606717735528946": 142, "03967798501253128": 142, "792262554168701": 142, "04649430513381958": 142, "957429885864258": 142, "413452386856079": 142, "40336012840271": 142, "83519744873047": 142, "8219823837280273": 142, "8053367137908936": 142, "88722801208496": 142, "4204672574996948": 142, "132608413696289": 142, "8583927154541": 142, "7871572971343994": 142, "656104564666748": 142, "961389541625977": 142, "5085349082946777": 142, "8111467361450195": 142, "20432472229004": 142, "639946460723877": 142, "016935333609580994": 142, "897523880004883": 142, "236501216888428": 142, "393839955329895": 142, "82170867919922": 142, "641679763793945": 142, "8073997497558594": 142, "88172149658203": 142, "250004768371582": 142, "18906307220459": 142, "824180603027344": 142, "6413469314575195": 142, "628244400024414": 142, "890859603881836": 142, "258810997009277": 142, "0210161209106445": 142, "845922470092773": 142, "494234085083008": 142, "04755624011158943": 142, "963544845581055": 142, "042454242706299": 142, "3949123620986938": 142, "816999435424805": 142, "463327407836914": 142, "8064651489257812": 142, "891672134399414": 142, "041861534118652": 142, "199419975280762": 142, "821556091308594": 142, "49694538116455": 142, "653733730316162": 142, "95958137512207": 142, "039070129394531": 142, "020135402679443": 142, "83102798461914": 142, "2970938682556152": 142, "345532417297363": 142, "105575561523438": 142, "114483118057251": 142, "803805351257324": 142, "40357780456543": 142, "9077535271644592": 142, "1820929050445557": 142, "1707160472869873": 142, "161365032196045": 142, "15236496925354": 142, "1437737941741943": 142, "1352989673614502": 142, "1268012523651123": 142, "1182482242584229": 142, "1101138591766357": 142, "101982831954956": 142, "0938115119934082": 142, "0860071182250977": 142, "078080415725708": 142, "070213794708252": 142, "0623931884765625": 142, "0544357299804688": 142, "046724796295166": 142, "0391013622283936": 142, "0316288471221924": 142, "0241649150848389": 142, "017174482345581": 142, "0100784301757812": 142, "0032985210418701": 142, "9968037009239197": 142, "9884476065635681": 142, "9824580550193787": 142, "9767641425132751": 142, "971238911151886": 142, "9659184813499451": 142, "9608780741691589": 142, "95602947473526": 142, "951265275478363": 142, "9466732144355774": 142, "942229688167572": 142, "9379563927650452": 142, "9338214993476868": 142, "9297296404838562": 142, "9258924126625061": 142, "9221848845481873": 142, "9186257719993591": 142, "9151975512504578": 142, "9118993878364563": 142, "908728301525116": 142, "9056807160377502": 142, "9027559161186218": 142, "8999597430229187": 142, "8973063826560974": 142, "8947567343711853": 142, "8923082947731018": 142, "8898147940635681": 142, "8876058459281921": 142, "8856591582298279": 142, "8836643099784851": 142, "8817809224128723": 142, "879916250705719": 142, "8782526850700378": 142, "8766962885856628": 142, "8752420544624329": 142, "8738885521888733": 142, "8726826310157776": 142, "8716796040534973": 142, "8705983757972717": 142, "869717538356781": 142, "8687670826911926": 142, "8677967190742493": 142, "8668209910392761": 142, "8660005927085876": 142, "8652042746543884": 142, "8665624260902405": 142, "8657906651496887": 142, "8650251030921936": 142, "8642627596855164": 142, "8633303046226501": 142, "8625649809837341": 142, "8618002533912659": 142, "8609251379966736": 142, "8601601719856262": 142, "8593977093696594": 142, "8586421608924866": 142, "857894241809845": 142, "8571645617485046": 142, "8564533591270447": 142, "8557716012001038": 142, "855121910572052": 142, "8545151352882385": 142, "8539549708366394": 142, "8534459471702576": 142, "8529910445213318": 142, "8525915741920471": 142, "8522463440895081": 142, "8519553542137146": 142, "8515830636024475": 142, "8513931632041931": 142, "8513659834861755": 142, "8512648940086365": 142, "8512024283409119": 142, "8511800169944763": 142, "851193368434906": 142, "8512404561042786": 142, "8513182997703552": 142, "8514294028282166": 142, "8515663743019104": 142, "8516877293586731": 142, "8518765568733215": 142, "8520888686180115": 142, "8523246645927429": 142, "8525828719139099": 142, "8530797362327576": 142, "8533774018287659": 142, "8536943793296814": 142, "8543075919151306": 142, "8546616435050964": 142, "8550333380699158": 142, "8554216027259827": 142, "855826199054718": 142, "8560953736305237": 142, "8565313220024109": 142, "8569828867912292": 142, "8579301238059998": 142, "8584256768226624": 142, "8589348196983337": 142, "8594570755958557": 142, "8599928021430969": 142, "8605405688285828": 142, "861100971698761": 142, "8616728186607361": 142, "8622577786445618": 142, "8628538250923157": 142, "8634621500968933": 142, "8640804886817932": 142, "8647099137306213": 142, "8653489947319031": 142, "8627477288246155": 142, "8633927702903748": 142, "8640487790107727": 142, "8647119402885437": 142, "8653853535652161": 142, "866066038608551": 142, "866820752620697": 142, "867516815662384": 142, "8682214617729187": 142, "868931233882904": 142, "8696483969688416": 142, "8703739047050476": 142, "8711054921150208": 142, "8718401789665222": 142, "8725846409797668": 142, "8733351826667786": 142, "8740848898887634": 142, "8746868968009949": 142, "8754515051841736": 142, "8762214779853821": 142, "8769960999488831": 142, "8777770400047302": 142, "8785582184791565": 142, "8793452382087708": 142, "8800020813941956": 142, "8807961344718933": 142, "8815938830375671": 142, "8823928236961365": 142, "8831953406333923": 142, "8839992880821228": 142, "8851539492607117": 142, "8859485983848572": 142, "8867538571357727": 142, "8875585198402405": 142, "8883634209632874": 142, "8891686797142029": 142, "8899738192558289": 142, "8907788395881653": 142, "8915829062461853": 142, "8923869729042053": 142, "8931899666786194": 142, "8939933180809021": 142, "8947948813438416": 142, "8954558968544006": 142, "8962534070014954": 142, "8967607617378235": 142, "897556722164154": 142, "898348867893219": 142, "8991397023200989": 142, "8999263644218445": 142, "9005082249641418": 142, "9012896418571472": 142, "9020199179649353": 142, "9027926325798035": 142, "9035603404045105": 142, "9043217301368713": 142, "9050784707069397": 142, "9058257937431335": 142, "9065677523612976": 142, "9072996973991394": 142, "908024251461029": 142, "9087373614311218": 142, "9094414114952087": 142, "9101349711418152": 142, "9108192324638367": 142, "9114919304847717": 142, "9121530652046204": 142, "9128028750419617": 142, "9134405255317688": 142, "9140647053718567": 142, "914675772190094": 142, "9152738451957703": 142, "9158599972724915": 142, "9157608151435852": 142, "9163148999214172": 142, "9167924523353577": 142, "9173216223716736": 142, "9178333878517151": 142, "9183290600776672": 142, "9188087582588196": 142, "9192711710929871": 142, "9197177290916443": 142, "9200869202613831": 142, "9191873669624329": 142, "9195862412452698": 142, "9199650883674622": 142, "9203271269798279": 142, "9206449389457703": 142, "9209697842597961": 142, "9213783144950867": 142, "9216635823249817": 142, "9219310879707336": 142, "9221814274787903": 142, "9224128127098083": 142, "9226265549659729": 142, "9228202700614929": 142, "9229986071586609": 142, "9231567978858948": 142, "9234008193016052": 142, "923523485660553": 142, "9238764643669128": 142, "9240362048149109": 142, "9241084456443787": 142, "9241638779640198": 142, "9239962697029114": 142, "924016535282135": 142, "9240218997001648": 142, "9240099787712097": 142, "9239819645881653": 142, "9239397644996643": 142, "9238815903663635": 142, "9237255454063416": 142, "9236372113227844": 142, "9235343337059021": 142, "9234175086021423": 142, "9232863783836365": 142, "9231416583061218": 142, "922396719455719": 142, "9222232699394226": 142, "9220378994941711": 142, "9218400120735168": 142, "9216273427009583": 142, "9214032292366028": 142, "9212453961372375": 142, "9209951758384705": 142, "9207325577735901": 142, "9204608798027039": 142, "9201766848564148": 142, "9198834300041199": 142, "9195807576179504": 142, "9192671179771423": 142, "9189460873603821": 142, "9186152815818787": 142, "9182758927345276": 142, "9179275631904602": 142, "9175711274147034": 142, "9172083735466003": 142, "9168383479118347": 142, "9164627194404602": 142, "918799102306366": 142, "919039785861969": 142, "9184247851371765": 142, "9182080626487732": 142, "9177984595298767": 142, "9171732068061829": 142, "916753351688385": 142, "9163296818733215": 142, "9160640835762024": 142, "9156306385993958": 142, "9151927828788757": 142, "9147545695304871": 142, "9143106341362": 142, "9138653874397278": 142, "9134178757667542": 142, "9129694104194641": 142, "9125170111656189": 142, "9120652079582214": 142, "9116112589836121": 142, "9111555218696594": 142, "9107001423835754": 142, "9102416634559631": 142, "9097856879234314": 142, "9093278050422668": 142, "9091301560401917": 142, "9086701273918152": 142, "9082123637199402": 142, "025009436532855034": 142, "021664367988705635": 142, "002317225094884634": 142, "006531806662678719": 142, "005023556761443615": 142, "04897792637348175": 142, "0058281575329601765": 142, "0077809859067201614": 142, "047858964651823044": 142, "003172019263729453": 142, "05429985746741295": 142, "051709435880184174": 142, "01892990432679653": 142, "006589777301996946": 142, "022228963673114777": 142, "08428347110748291": 142, "2020707130432129": 142, "1521567702293396": 142, "007522234693169594": 142, "00715218298137188": 142, "03932657837867737": 142, "007277424447238445": 142, "0028449655510485172": 142, "08011969923973083": 142, "0021870832424610853": 142, "002045836765319109": 142, "056671541184186935": 142, "004745409358292818": 142, "010749206878244877": 142, "0814434289932251": 142, "004824391566216946": 142, "004243987146764994": 142, "04434802010655403": 142, "0010828315280377865": 142, "011459143832325935": 142, "05103422701358795": 142, "01297061052173376": 142, "018694279715418816": 142, "000148588718730025": 142, "012563849799335003": 142, "0042422013357281685": 142, "08149324357509613": 142, "0009982981719076633": 142, "0036517258267849684": 142, "04489367827773094": 142, "011322150006890297": 142, "0003544439096003771": 142, "08259329944849014": 142, "0091506103053689": 142, "009328541345894337": 142, "016808949410915375": 142, "009580870158970356": 142, "007871913723647594": 142, "06267359107732773": 142, "08515238016843796": 142, "07643511891365051": 142, "07149923592805862": 142, "07248169928789139": 142, "12123919278383255": 142, "1119561642408371": 142, "845384120941162": 142, "034486472606658936": 142, "95792007446289": 142, "4140006303787231": 142, "4153825044631958": 142, "856050491333008": 142, "8135414123535156": 142, "797940731048584": 142, "89430809020996": 142, "4121524095535278": 142, "204825401306152": 142, "849075317382812": 142, "834651231765747": 142, "640364170074463": 142, "92734146118164": 142, "4295250177383423": 142, "02416467666626": 142, "88172721862793": 142, "642956733703613": 142, "025748996064066887": 142, "948265075683594": 142, "2377238273620605": 142, "4190596342086792": 142, "86030387878418": 142, "641742706298828": 142, "805633544921875": 142, "901697158813477": 142, "204596042633057": 142, "175541400909424": 142, "81879997253418": 142, "640512466430664": 142, "651853561401367": 142, "95774269104004": 142, "121931552886963": 142, "087515830993652": 142, "005067825317383": 142, "460997581481934": 142, "0345500223338604": 142, "943143844604492": 142, "062275409698486": 142, "4092497825622559": 142, "848735809326172": 142, "475037574768066": 142, "7972571849823": 142, "890222549438477": 142, "08339262008667": 142, "165067195892334": 142, "811954498291016": 142, "47037410736084": 142, "633188724517822": 142, "91384506225586": 142, "1990861892700195": 142, "058592796325684": 142, "935733795166016": 142, "714797019958496": 142, "713632583618164": 142, "4069766998291": 142, "783017635345459": 142, "42080545425415": 142, "083629608154297": 142, "4931415915489197": 142, "6068294048309326": 142, "5877678394317627": 142, "5737805366516113": 142, "56083345413208": 142, "5487608909606934": 142, "5363025665283203": 142, "5247292518615723": 142, "5137712955474854": 142, "5034208297729492": 142, "493401050567627": 142, "483889102935791": 142, "4747073650360107": 142, "4661622047424316": 142, "4576363563537598": 142, "4492113590240479": 142, "440958023071289": 142, "4327590465545654": 142, "4250364303588867": 142, "4172172546386719": 142, "4096128940582275": 142, "4022026062011719": 142, "3949120044708252": 142, "3877394199371338": 142, "3806729316711426": 142, "3737099170684814": 142, "3668465614318848": 142, "3600811958312988": 142, "3534045219421387": 142, "346813678741455": 142, "3403069972991943": 142, "3338775634765625": 142, "3264758586883545": 142, "320199728012085": 142, "3139872550964355": 142, "3078663349151611": 142, "3017802238464355": 142, "295945167541504": 142, "2899751663208008": 142, "2840533256530762": 142, "2781779766082764": 142, "266547441482544": 142, "2607898712158203": 142, "2550671100616455": 142, "249375820159912": 142, "243717908859253": 142, "2380902767181396": 142, "2324895858764648": 142, "2269136905670166": 142, "2213597297668457": 142, "215832233428955": 142, "210322380065918": 142, "204833984375": 142, "1993587017059326": 142, "1938648223876953": 142, "188432216644287": 142, "183016061782837": 142, "177614688873291": 142, "1722381114959717": 142, "166877269744873": 142, "1615355014801025": 142, "1562142372131348": 142, "1509108543395996": 142, "1456313133239746": 142, "14027738571167": 142, "135040521621704": 142, "1298234462738037": 142, "1246328353881836": 142, "1194627285003662": 142, "1040723323822021": 142, "0989835262298584": 142, "0939140319824219": 142, "0888590812683105": 142, "0837628841400146": 142, "0787343978881836": 142, "0736503601074219": 142, "0686492919921875": 142, "0636601448059082": 142, "0586841106414795": 142, "0537199974060059": 142, "048771619796753": 142, "0438365936279297": 142, "0389175415039062": 142, "0340120792388916": 142, "0291235446929932": 142, "0242505073547363": 142, "0193934440612793": 142, "014552354812622": 142, "0093772411346436": 142, "0045716762542725": 142, "9997850060462952": 142, "9950159192085266": 142, "9902661442756653": 142, "9855363965034485": 142, "9808271527290344": 142, "9761354327201843": 142, "9716008305549622": 142, "9669532179832458": 142, "9623264670372009": 142, "9577228426933289": 142, "9531380534172058": 142, "9485732913017273": 142, "9440281987190247": 142, "9396705031394958": 142, "9343401789665222": 142, "9298802018165588": 142, "9254253506660461": 142, "9209931492805481": 142, "9165807366371155": 142, "9078207612037659": 142, "903550922870636": 142, "8992219567298889": 142, "8949132561683655": 142, "8906248211860657": 142, "886410653591156": 142, "8821620345115662": 142, "8779297471046448": 142, "8737199902534485": 142, "8695284724235535": 142, "865355908870697": 142, "8612064719200134": 142, "857075035572052": 142, "8529661297798157": 142, "8488758206367493": 142, "8448074460029602": 142, "8407576680183411": 142, "8367289900779724": 142, "8327222466468811": 142, "8287366032600403": 142, "8247717022895813": 142, "8208282589912415": 142, "8169072270393372": 142, "8130093216896057": 142, "8091349005699158": 142, "8052820563316345": 142, "8014574646949768": 142, "7976539731025696": 142, "793878972530365": 142, "7901086211204529": 142, "7863842844963074": 142, "7826870083808899": 142, "7790903449058533": 142, "7754473090171814": 142, "7718304991722107": 142, "7682415843009949": 142, "7646816372871399": 142, "761055052280426": 142, "7575512528419495": 142, "7540778517723083": 142, "7506324648857117": 142, "7471025586128235": 142, "7437127232551575": 142, "7403518557548523": 142, "7370204329490662": 142, "733717143535614": 142, "7303358912467957": 142, "7269765734672546": 142, "7237650752067566": 142, "7205818295478821": 142, "7174291014671326": 142, "7143035531044006": 142, "7112066149711609": 142, "7081397175788879": 142, "7051026225090027": 142, "7020934224128723": 142, "6991128325462341": 142, "6961608529090881": 142, "6932384371757507": 142, "6902158856391907": 142, "687350332736969": 142, "6845127940177917": 142, "6817037463188171": 142, "678663432598114": 142, "675982654094696": 142, "6732547879219055": 142, "6705548167228699": 142, "667881190776825": 142, "6652352213859558": 142, "6626175045967102": 142, "660026490688324": 142, "6574612259864807": 142, "6549229025840759": 142, "6524115204811096": 142, "6499269604682922": 142, "6474677920341492": 142, "6451854109764099": 142, "6427778601646423": 142, "640289843082428": 142, "6379303336143494": 142, "635597288608551": 142, "6339985728263855": 142, "6317183375358582": 142, "6294640898704529": 142, "6272333264350891": 142, "625026524066925": 142, "6228447556495667": 142, "6206874251365662": 142, "6185546517372131": 142, "6164787411689758": 142, "6143938899040222": 142, "6123326420783997": 142, "6102939248085022": 142, "6084187626838684": 142, "6065478920936584": 142, "6045817732810974": 142, "6026389002799988": 142, "6007174849510193": 142, "5988187193870544": 142, "5969701409339905": 142, "5951129794120789": 142, "593446671962738": 142, "5916330218315125": 142, "5898421406745911": 142, "588073194026947": 142, "5863271355628967": 142, "5846032500267029": 142, "5829009413719177": 142, "5812204480171204": 142, "5795596241950989": 142, "5779212117195129": 142, "5761972069740295": 142, "5745963454246521": 142, "5730164647102356": 142, "5714564919471741": 142, "5699160695075989": 142, "56839519739151": 142, "5668933987617493": 142, "5654117465019226": 142, "5639473795890808": 142, "562501847743988": 142, "5610749125480652": 142, "5596649050712585": 142, "5582725405693054": 142, "5568966269493103": 142, "5555376410484314": 142, "5541940331459045": 142, "5528662800788879": 142, "5515547394752502": 142, "5502583384513855": 142, "5489766001701355": 142, "5476776957511902": 142, "5455308556556702": 142, "5448704361915588": 142, "5436564087867737": 142, "5424548983573914": 142, "5412653088569641": 142, "5400891900062561": 142, "5389259457588196": 142, "5377746224403381": 142, "5366359353065491": 142, "5355098843574524": 142, "5343945622444153": 142, "5332915186882019": 142, "5322001576423645": 142, "5302971005439758": 142, "529225766658783": 142, "5281652808189392": 142, "5271160006523132": 142, "5260769724845886": 142, "5250478386878967": 142, "5240297913551331": 142, "5230219960212708": 142, "5220246911048889": 142, "521037757396698": 142, "5200607180595398": 142, "5190933346748352": 142, "5181369185447693": 142, "5173066258430481": 142, "5163677334785461": 142, "5154384970664978": 142, "5145179629325867": 142, "5136070847511292": 142, "5127049088478088": 142, "5118131041526794": 142, "5109290480613708": 142, "5100541710853577": 142, "5091878771781921": 142, "5082572102546692": 142, "5074087977409363": 142, "506567656993866": 142, "5057352185249329": 142, "5049089789390564": 142, "5040908455848694": 142, "503279983997345": 142, "5024757981300354": 142, "5016346573829651": 142, "5008439421653748": 142, "5000606179237366": 142, "499128520488739": 142, "49835842847824097": 142, "4975948929786682": 142, "4968368411064148": 142, "4960862994194031": 142, "4953412413597107": 142, "4946015477180481": 142, "4938691258430481": 142, "016778694465756416": 142, "018544962629675865": 142, "035575177520513535": 142, "005321273114532232": 142, "009495877660810947": 142, "015314586460590363": 142, "00852737482637167": 142, "00719251437112689": 142, "0047798166051507": 142, "0030450487975031137": 142, "00870751217007637": 142, "012167041189968586": 142, "0019994734320789576": 142, "001745919929817319": 142, "001803117454983294": 142, "000961695215664804": 142, "003022745717316866": 142, "020082425326108932": 142, "0066171265207231045": 142, "011661962606012821": 142, "011566280387341976": 142, "0008794566383585334": 142, "00947224348783493": 142, "014357993379235268": 142, "0016891551204025745": 142, "003206724999472499": 142, "004121752921491861": 142, "0305430069565773": 142, "041870277374982834": 142, "042949024587869644": 142, "009160110726952553": 142, "013558841310441494": 142, "015169849619269371": 142, "05684782564640045": 142, "03220557048916817": 142, "023264115676283836": 142, "010379425249993801": 142, "011231809854507446": 142, "022473592311143875": 142, "007663308642804623": 142, "005585190840065479": 142, "014607383869588375": 142, "0017720558680593967": 142, "004640660714358091": 142, "005223349668085575": 142, "015940632671117783": 142, "0423983633518219": 142, "03580057993531227": 142, "014207715168595314": 142, "015861012041568756": 142, "02073233760893345": 142, "05592036619782448": 142, "020863570272922516": 142, "10631941258907318": 142, "06091291084885597": 142, "13811685144901276": 142, "10540372878313065": 142, "09961027652025223": 142, "08828477561473846": 142, "12544961273670197": 142, "8161537647247314": 142, "021135199815034866": 142, "919431686401367": 142, "3983354568481445": 142, "3730114698410034": 142, "895870208740234": 142, "842850923538208": 142, "7641985416412354": 142, "982421875": 142, "4101593494415283": 142, "2255988121032715": 142, "872207641601562": 142, "809473991394043": 142, "597662448883057": 142, "894521713256836": 142, "4092642068862915": 142, "018002510070801": 142, "85747528076172": 142, "640381336212158": 142, "008601708337664604": 142, "94769859313965": 142, "132785320281982": 142, "3812607526779175": 142, "97210121154785": 142, "64117431640625": 142, "789275646209717": 142, "950061798095703": 142, "235640048980713": 142, "213015079498291": 142, "871530532836914": 142, "643771171569824": 142, "611852169036865": 142, "90227699279785": 142, "188859462738037": 142, "944910049438477": 142, "817230224609375": 142, "46164321899414": 142, "0159878171980381": 142, "920486450195312": 142, "125292778015137": 142, "3865529298782349": 142, "98472785949707": 142, "439316749572754": 142, "7675600051879883": 142, "977624893188477": 142, "218563079833984": 142, "869678497314453": 142, "480597496032715": 142, "597901821136475": 142, "890119552612305": 142, "099534034729004": 142, "955201625823975": 142, "810182571411133": 142, "606765270233154": 142, "8337947726249695": 142, "423477172851562": 142, "658215045928955": 142, "16714458167552948": 142, "360851287841797": 142, "6160655617713928": 142, "190178394317627": 142, "1678824424743652": 142, "1490375995635986": 142, "131307601928711": 142, "1147594451904297": 142, "099000930786133": 142, "084092855453491": 142, "0699386596679688": 142, "0565989017486572": 142, "0438106060028076": 142, "0316247940063477": 142, "0199077129364014": 142, "008527994155884": 142, "9975152015686035": 142, "9867966175079346": 142, "9765980243682861": 142, "966209888458252": 142, "9561686515808105": 142, "9463140964508057": 142, "9365756511688232": 142, "9270732402801514": 142, "917738437652588": 142, "9086267948150635": 142, "8996031284332275": 142, "8907325267791748": 142, "8820130825042725": 142, "8734467029571533": 142, "8650190830230713": 142, "8567276000976562": 142, "8485755920410156": 142, "840559482574463": 142, "8326716423034668": 142, "8249006271362305": 142, "8172540664672852": 142, "809720516204834": 142, "802337884902954": 142, "7950177192687988": 142, "7881801128387451": 142, "7810826301574707": 142, "7741296291351318": 142, "7672064304351807": 142, "7603673934936523": 142, "7536029815673828": 142, "7469093799591064": 142, "7400708198547363": 142, "7335050106048584": 142, "7270464897155762": 142, "7206003665924072": 142, "7142033576965332": 142, "7078468799591064": 142, "7015321254730225": 142, "6953246593475342": 142, "6887316703796387": 142, "6825029850006104": 142, "6761977672576904": 142, "670034408569336": 142, "6638460159301758": 142, "6577346324920654": 142, "6513996124267578": 142, "6453490257263184": 142, "639326810836792": 142, "6333990097045898": 142, "6274287700653076": 142, "6214909553527832": 142, "6155853271484375": 142, "6096112728118896": 142, "6035215854644775": 142, "5977025032043457": 142, "591919183731079": 142, "5860857963562012": 142, "5803031921386719": 142, "574601173400879": 142, "568920373916626": 142, "5632636547088623": 142, "5574419498443604": 142, "5519096851348877": 142, "5463049411773682": 142, "5407085418701172": 142, "5351214408874512": 142, "5295448303222656": 142, "5239770412445068": 142, "5184168815612793": 142, "5128662586212158": 142, "5073258876800537": 142, "5017900466918945": 142, "4962775707244873": 142, "4907758235931396": 142, "4852874279022217": 142, "479811191558838": 142, "4743461608886719": 142, "4688949584960938": 142, "4634575843811035": 142, "4580323696136475": 142, "4526207447052002": 142, "4470772743225098": 142, "441697120666504": 142, "4363281726837158": 142, "4309720993041992": 142, "4256277084350586": 142, "4202961921691895": 142, "4149761199951172": 142, "4096362590789795": 142, "4043335914611816": 142, "3990297317504883": 142, "3937253952026367": 142, "3884251117706299": 142, "3831310272216797": 142, "3778464794158936": 142, "3725709915161133": 142, "367307186126709": 142, "3620553016662598": 142, "3568150997161865": 142, "351588487625122": 142, "3463730812072754": 142, "3411693572998047": 142, "3359789848327637": 142, "3308029174804688": 142, "3256375789642334": 142, "320369005203247": 142, "3152308464050293": 142, "3101050853729248": 142, "304992437362671": 142, "2998931407928467": 142, "2948074340820312": 142, "289630651473999": 142, "284574270248413": 142, "2795326709747314": 142, "274505376815796": 142, "2694916725158691": 142, "264491081237793": 142, "2595043182373047": 142, "254530429840088": 142, "249570608139038": 142, "2446215152740479": 142, "2396841049194336": 142, "234757900238037": 142, "2298414707183838": 142, "2249350547790527": 142, "220038652420044": 142, "2151527404785156": 142, "2102751731872559": 142, "2054064273834229": 142, "200545310974121": 142, "1958575248718262": 142, "1910133361816406": 142, "186178207397461": 142, "1813504695892334": 142, "1765315532684326": 142, "1717190742492676": 142, "1669158935546875": 142, "1621201038360596": 142, "157332181930542": 142, "1525535583496094": 142, "1477837562561035": 142, "143022060394287": 142, "1385669708251953": 142, "134023904800415": 142, "1292884349822998": 142, "1245622634887695": 142, "1198453903198242": 142, "1151371002197266": 142, "1104378700256348": 142, "1057474613189697": 142, "1010653972625732": 142, "0963916778564453": 142, "0917270183563232": 142, "0870699882507324": 142, "0824220180511475": 142, "0779383182525635": 142, "0731816291809082": 142, "0685617923736572": 142, "063798189163208": 142, "0591914653778076": 142, "0545923709869385": 142, "0500011444091797": 142, "0454185009002686": 142, "0408434867858887": 142, "0362780094146729": 142, "0317199230194092": 142, "027172565460205": 142, "0226342678070068": 142, "0180706977844238": 142, "0135514736175537": 142, "0090432167053223": 142, "004547119140625": 142, "999979555606842": 142, "9955090880393982": 142, "9910538792610168": 142, "9866109490394592": 142, "9821831583976746": 142, "9777697920799255": 142, "9733722805976868": 142, "9689901471138": 142, "9646250605583191": 142, "9602774977684021": 142, "9559454321861267": 142, "9513999819755554": 142, "9471051096916199": 142, "942828357219696": 142, "9385679364204407": 142, "9343239665031433": 142, "93010014295578": 142, "9258925318717957": 142, "9217038750648499": 142, "917532742023468": 142, "9133802056312561": 142, "9092455506324768": 142, "9051290154457092": 142, "9010854363441467": 142, "8970039486885071": 142, "8929393887519836": 142, "8888933062553406": 142, "8848636746406555": 142, "880852997303009": 142, "8768588900566101": 142, "8728803992271423": 142, "868863046169281": 142, "864854633808136": 142, "8609245419502258": 142, "857011616230011": 142, "8531154990196228": 142, "8453730940818787": 142, "8415288329124451": 142, "837702214717865": 142, "8338935971260071": 142, "8301020264625549": 142, "8264595866203308": 142, "8227061629295349": 142, "819007933139801": 142, "8152936100959778": 142, "8115983605384827": 142, "8078754544258118": 142, "8042237162590027": 142, "8005918860435486": 142, "7969786524772644": 142, "7933885455131531": 142, "7898188233375549": 142, "7862706780433655": 142, "7827451825141907": 142, "779242217540741": 142, "7757628560066223": 142, "7723066210746765": 142, "7688732743263245": 142, "765510618686676": 142, "7621269822120667": 142, "7587113976478577": 142, "7553759217262268": 142, "7520646452903748": 142, "7487792372703552": 142, "7455191016197205": 142, "7422848343849182": 142, "7390759587287903": 142, "7358929514884949": 142, "7327353358268738": 142, "7296029925346375": 142, "7264962792396545": 142, "7234140038490295": 142, "7203564047813416": 142, "7173238396644592": 142, "7143157124519348": 142, "7113319039344788": 142, "7081860899925232": 142, "7052422165870667": 142, "7023248076438904": 142, "6994321942329407": 142, "6965619921684265": 142, "6937162280082703": 142, "6908925175666809": 142, "6880947947502136": 142, "6853232979774475": 142, "6824467778205872": 142, "6797273755073547": 142, "6770924925804138": 142, "6744244694709778": 142, "6717807650566101": 142, "6691614985466003": 142, "6665670275688171": 142, "6639979481697083": 142, "6614541411399841": 142, "6589351296424866": 142, "6564411520957947": 142, "6539708971977234": 142, "6515253186225891": 142, "6491065621376038": 142, "6467120051383972": 142, "6443406939506531": 142, "6419950127601624": 142, "6396740078926086": 142, "6373762488365173": 142, "6351030468940735": 142, "6328539252281189": 142, "6306288838386536": 142, "6284278035163879": 142, "6264515519142151": 142, "6243004202842712": 142, "6221721768379211": 142, "6200657486915588": 142, "6179817318916321": 142, "0155530059710145": 142, "004640751518309116": 142, "0012586977099999785": 142, "008220534771680832": 142, "028695888817310333": 142, "012171768583357334": 142, "02843809314072132": 142, "003645192366093397": 142, "05967561900615692": 142, "0031741478014737368": 142, "01810350827872753": 142, "007994440384209156": 142, "010503158904612064": 142, "01989419013261795": 142, "03768491744995117": 142, "005108400713652372": 142, "03786321356892586": 142, "02111915685236454": 142, "007643855642527342": 142, "010161896236240864": 142, "031648844480514526": 142, "008646480739116669": 142, "028949826955795288": 142, "06541378051042557": 142, "005331107880920172": 142, "031097128987312317": 142, "015914268791675568": 142, "007526000961661339": 142, "013085558079183102": 142, "010811762884259224": 142, "005778248887509108": 142, "004319711588323116": 142, "01300731673836708": 142, "06533200293779373": 142, "08787331730127335": 142, "02025616727769375": 142, "011550095863640308": 142, "009608048014342785": 142, "003985150717198849": 142, "028986593708395958": 142, "01466158963739872": 142, "02798086777329445": 142, "010030985809862614": 142, "00456578005105257": 142, "031541500240564346": 142, "0029326118528842926": 142, "015180334448814392": 142, "009207899682223797": 142, "017190152779221535": 142, "0007210973417386413": 142, "006974807940423489": 142, "09966036677360535": 142, "07649021595716476": 142, "05942055955529213": 142, "15130050480365753": 142, "295017272233963": 142, "13368788361549377": 142, "10790688544511795": 142, "42354893684387207": 142, "10568176954984665": 142, "7977752685546875": 142, "0019284423906356096": 142, "928688049316406": 142, "4326673746109009": 142, "256574034690857": 142, "00334358215332": 142, "7917137145996094": 142, "8091728687286377": 142, "953712463378906": 142, "425592303276062": 142, "356262683868408": 142, "98029136657715": 142, "799448251724243": 142, "619839668273926": 142, "92929458618164": 142, "394935965538025": 142, "037454605102539": 142, "86997413635254": 142, "634938716888428": 142, "014803488738834858": 142, "881591796875": 142, "2471232414245605": 142, "3832532167434692": 142, "827152252197266": 142, "636422157287598": 142, "8133139610290527": 142, "894922256469727": 142, "249779224395752": 142, "224459171295166": 142, "830730438232422": 142, "6342291831970215": 142, "641157627105713": 142, "88210678100586": 142, "241592884063721": 142, "0363640785217285": 142, "833688735961914": 142, "476542472839355": 142, "002760500879958272": 142, "930774688720703": 142, "0165252685546875": 142, "3828372955322266": 142, "817241668701172": 142, "488033294677734": 142, "8095526695251465": 142, "96258544921875": 142, "016412734985352": 142, "235790729522705": 142, "816946029663086": 142, "473466873168945": 142, "62161111831665": 142, "926387786865234": 142, "025898456573486": 142, "041470050811768": 142, "831533432006836": 142, "3642444610595703": 142, "8354032039642334": 142, "449344635009766": 142, "237738609313965": 142, "9147820472717285": 142, "89238166809082": 142, "42299026250839233": 142, "0234582424163818": 142, "0068955421447754": 142, "9945059418678284": 142, "9820557236671448": 142, "9700029492378235": 142, "9587402939796448": 142, "9481286406517029": 142, "9386902451515198": 142, "9290772080421448": 142, "9197989106178284": 142, "9107970595359802": 142, "9021195769309998": 142, "8937974572181702": 142, "8856212496757507": 142, "8777040839195251": 142, "8699933886528015": 142, "8623051047325134": 142, "8551872372627258": 142, "8478880524635315": 142, "8406533598899841": 142, "8334938883781433": 142, "8265479207038879": 142, "8197395205497742": 142, "8131392598152161": 142, "8065425753593445": 142, "8000547289848328": 142, "7936716675758362": 142, "7873908877372742": 142, "7812110781669617": 142, "775132954120636": 142, "7691523432731628": 142, "7632603049278259": 142, "7575026154518127": 142, "7518040537834167": 142, "7462615370750427": 142, "740744411945343": 142, "7353020310401917": 142, "7299533486366272": 142, "7246890664100647": 142, "7197999358177185": 142, "7146010994911194": 142, "709689199924469": 142, "7047554850578308": 142, "6999673247337341": 142, "6951656937599182": 142, "6904359459877014": 142, "6857499480247498": 142, "6812257170677185": 142, "6765919327735901": 142, "6722177863121033": 142, "6678352952003479": 142, "6635221838951111": 142, "6590427756309509": 142, "6548741459846497": 142, "6507492661476135": 142, "646689236164093": 142, "6426917910575867": 142, "6388365626335144": 142, "6350192427635193": 142, "6312018036842346": 142, "6274461150169373": 142, "6237643361091614": 142, "6200823187828064": 142, "6165074706077576": 142, "6129928231239319": 142, "609536349773407": 142, "6061385273933411": 142, "6027974486351013": 142, "5995132327079773": 142, "5962837338447571": 142, "5931090712547302": 142, "5899887681007385": 142, "5867149233818054": 142, "5837021470069885": 142, "5808588862419128": 142, "577946126461029": 142, "5749134421348572": 142, "5721220374107361": 142, "569356381893158": 142, "5666373372077942": 142, "5639637112617493": 142, "5613380074501038": 142, "5587576031684875": 142, "5562216639518738": 142, "5537331700325012": 142, "5512904524803162": 142, "5488764643669128": 142, "5466352105140686": 142, "5443257689476013": 142, "5420600771903992": 142, "5398373007774353": 142, "5376579165458679": 142, "5355200171470642": 142, "5334250330924988": 142, "5311720967292786": 142, "529163658618927": 142, "5271956324577332": 142, "5252661108970642": 142, "5233749747276306": 142, "5215231776237488": 142, "5197083353996277": 142, "5179311633110046": 142, "5161932110786438": 142, "5144907832145691": 142, "5128238797187805": 142, "5112501978874207": 142, "509649932384491": 142, "5079371333122253": 142, "5064029097557068": 142, "5048971772193909": 142, "5034201741218567": 142, "5019723773002625": 142, "500458300113678": 142, "4990697503089905": 142, "49770551919937134": 142, "4963669180870056": 142, "49505239725112915": 142, "49376267194747925": 142, "49249571561813354": 142, "4912484288215637": 142, "4900231957435608": 142, "48881596326828003": 142, "48762816190719604": 142, "4864559769630432": 142, "48530250787734985": 142, "48416537046432495": 142, "48304349184036255": 142, "48109620809555054": 142, "48000961542129517": 142, "47893792390823364": 142, "47788184881210327": 142, "4768452048301697": 142, "4758194088935852": 142, "4748075604438782": 142, "4738094210624695": 142, "4728270173072815": 142, "47185760736465454": 142, "47090286016464233": 142, "4701769948005676": 142, "46912509202957153": 142, "4682164788246155": 142, "4673228859901428": 142, "4664437174797058": 142, "4655795693397522": 142, "46473127603530884": 142, "4638976454734802": 142, "46319133043289185": 142, "4623860716819763": 142, "4615963101387024": 142, "4608221650123596": 142, "4600614905357361": 142, "4593173861503601": 142, "4585866332054138": 142, "4578731656074524": 142, "45717233419418335": 142, "45634037256240845": 142, "4556698203086853": 142, "4550134539604187": 142, "45437151193618774": 142, "4538084864616394": 142, "4531957507133484": 142, "45278292894363403": 142, "45219534635543823": 142, "45162254571914673": 142, "4510619044303894": 142, "450514018535614": 142, "44997936487197876": 142, "4494571089744568": 142, "4489460587501526": 142, "4484468102455139": 142, "4479607939720154": 142, "44748610258102417": 142, "4470213055610657": 142, "44656866788864136": 142, "44612616300582886": 142, "4456954598426819": 142, "4452769160270691": 142, "4448668360710144": 142, "44446808099746704": 142, "4440801739692688": 142, "4437006115913391": 142, "4433324933052063": 142, "4429747462272644": 142, "4426259398460388": 142, "4422866702079773": 142, "44192665815353394": 142, "4416266083717346": 142, "44131404161453247": 142, "4410099387168884": 142, "44071322679519653": 142, "4404262900352478": 142, "4401465058326721": 142, "43987494707107544": 142, "43961101770401": 142, "4393540024757385": 142, "4391034245491028": 142, "438859760761261": 142, "4386221766471863": 142, "4383905529975891": 142, "4381639361381531": 142, "4382590651512146": 142, "43804556131362915": 142, "4378376603126526": 142, "4376835227012634": 142, "43748337030410767": 142, "437286913394928": 142, "4370940327644348": 142, "4369036555290222": 142, "4367162585258484": 142, "43653231859207153": 142, "43635016679763794": 142, "43617111444473267": 142, "43599337339401245": 142, "4358183741569519": 142, "43563586473464966": 142, "4354338049888611": 142, "4352647662162781": 142, "43509823083877563": 142, "43493229150772095": 142, "43460482358932495": 142, "4344417452812195": 142, "4342804551124573": 142, "4341215491294861": 142, "4339616894721985": 142, "43380290269851685": 142, "4336455464363098": 142, "4334879517555237": 142, "4333321452140808": 142, "43317633867263794": 142, "4330212473869324": 142, "4328668713569641": 142, "4327138066291809": 142, "4325636029243469": 142, "4324128031730652": 142, "43226057291030884": 142, "43210989236831665": 142, "4319583773612976": 142, "4315609335899353": 142, "43140989542007446": 142, "43125635385513306": 142, "4311007857322693": 142, "43085283041000366": 142, "43069809675216675": 142, "43054312467575073": 142, "43038755655288696": 142, "43023163080215454": 142, "43007296323776245": 142, "42991524934768677": 142, "42975515127182007": 142, "4295955300331116": 142, "42943519353866577": 142, "4296240210533142": 142, "42946165800094604": 142, "4292972683906555": 142, "4291331171989441": 142, "4289681315422058": 142, "428801953792572": 142, "4286344647407532": 142, "428466260433197": 142, "42825502157211304": 142, "42800217866897583": 142, "42783910036087036": 142, "4276753067970276": 142, "427511990070343": 142, "42734676599502563": 142, "42718106508255005": 142, "4270150065422058": 142, "4268525242805481": 142, "42706066370010376": 142, "4268903136253357": 142, "42672187089920044": 142, "4265548586845398": 142, "42638808488845825": 142, "4263684153556824": 142, "4262072443962097": 142, "42601603269577026": 142, "425972044467926": 142, "4258156418800354": 142, "4256599545478821": 142, "4255065321922302": 142, "4253552556037903": 142, "42520612478256226": 142, "4250592589378357": 142, "4249141812324524": 142, "42477184534072876": 142, "4246310591697693": 142, "42449432611465454": 142, "4241841435432434": 142, "424050509929657": 142, "42392057180404663": 142, "4237927794456482": 142, "4236660599708557": 142, "4235444664955139": 142, "42342430353164673": 142, "42330557107925415": 142, "4231916069984436": 142, "42306822538375854": 142, "42301124334335327": 142, "018860917538404465": 142, "00915670208632946": 142, "011741947382688522": 142, "00345208658836782": 142, "11456191539764404": 142, "006099991034716368": 142, "015129229985177517": 142, "010424163192510605": 142, "0041205547749996185": 142, "0323595330119133": 142, "03658074513077736": 142, "04276326298713684": 142, "014895960688591003": 142, "02410818450152874": 142, "0001115763298003003": 142, "013109619729220867": 142, "03558586537837982": 142, "0397784598171711": 142, "009910861030220985": 142, "009901395998895168": 142, "03803098946809769": 142, "00024562887847423553": 142, "016840357333421707": 142, "06450695544481277": 142, "005634604953229427": 142, "0027356732171028852": 142, "028154456987977028": 142, "01218585018068552": 142, "010739327408373356": 142, "04836438596248627": 142, "007319227792322636": 142, "0017995608504861593": 142, "032207049429416656": 142, "0050199925899505615": 142, "00948764942586422": 142, "055520184338092804": 142, "0010378105798736215": 142, "01039409264922142": 142, "019368141889572144": 142, "032034825533628464": 142, "02016083337366581": 142, "07620630413293839": 142, "01035943254828453": 142, "008215634152293205": 142, "005454807076603174": 142, "018909169360995293": 142, "0018991633551195264": 142, "0661391019821167": 142, "00513982679694891": 142, "021503964439034462": 142, "008466535247862339": 142, "014239547774195671": 142, "008874873630702496": 142, "06209509074687958": 142, "013107022270560265": 142, "053257979452610016": 142, "04264599084854126": 142, "014635458588600159": 142, "18000094592571259": 142, "06100913882255554": 142, "8175933361053467": 142, "027131294831633568": 142, "9503173828125": 142, "3896712064743042": 142, "437148928642273": 142, "816131591796875": 142, "816669225692749": 142, "8186099529266357": 142, "892602920532227": 142, "3911521434783936": 142, "207502365112305": 142, "820768356323242": 142, "815429925918579": 142, "665834426879883": 142, "951509475708008": 142, "2566092014312744": 142, "064357280731201": 142, "96242904663086": 142, "633467674255371": 142, "018617257475852966": 142, "91607093811035": 142, "244510173797607": 142, "4342070817947388": 142, "81298828125": 142, "645419597625732": 142, "8152987957000732": 142, "87843894958496": 142, "234281539916992": 142, "20344352722168": 142, "819032669067383": 142, "630692481994629": 142, "648967742919922": 142, "91802406311035": 142, "3854475021362305": 142, "0467071533203125": 142, "95184898376465": 142, "466886520385742": 142, "01825171336531639": 142, "91868019104004": 142, "0481276512146": 142, "416256070137024": 142, "83035659790039": 142, "453369140625": 142, "815429210662842": 142, "879287719726562": 142, "045294284820557": 142, "199899673461914": 142, "827312469482422": 142, "467644691467285": 142, "6504693031311035": 142, "920610427856445": 142, "050790309906006": 142, "0417351722717285": 142, "859966278076172": 142, "8411202430725098": 142, "130932807922363": 142, "378053665161133": 142, "817923069000244": 142, "214995384216309": 142, "727235794067383": 142, "4396461844444275": 142, "0529634952545166": 142, "0273027420043945": 142, "016540765762329": 142, "00612473487854": 142, "9963725209236145": 142, "9869630932807922": 142, "9776001572608948": 142, "9686192870140076": 142, "9600846171379089": 142, "9517378211021423": 142, "9435557723045349": 142, "9356603026390076": 142, "9278110861778259": 142, "9201393723487854": 142, "9126967787742615": 142, "9053191542625427": 142, "897977888584137": 142, "8908448815345764": 142, "8838065266609192": 142, "8769463896751404": 142, "8700950741767883": 142, "8631623387336731": 142, "8566494584083557": 142, "8500449061393738": 142, "8432316184043884": 142, "8367775082588196": 142, "8304030299186707": 142, "8240970969200134": 142, "8178637623786926": 142, "8116709589958191": 142, "8056281208992004": 142, "7995982766151428": 142, "7937695384025574": 142, "7878656983375549": 142, "7820209860801697": 142, "7762376666069031": 142, "770514190196991": 142, "7648667693138123": 142, "7592564225196838": 142, "753702700138092": 142, "7482008337974548": 142, "7426586747169495": 142, "7372661232948303": 142, "7319253087043762": 142, "7266554236412048": 142, "7214143872261047": 142, "716221034526825": 142, "7110796570777893": 142, "7059730887413025": 142, "7009320855140686": 142, "6960092186927795": 142, "6910703778266907": 142, "6861791014671326": 142, "6813368201255798": 142, "676543653011322": 142, "6718005537986755": 142, "6671038269996643": 142, "6624588370323181": 142, "6532322764396667": 142, "6487857699394226": 142, "6443130373954773": 142, "6411755681037903": 142, "6368078589439392": 142, "6324920058250427": 142, "6280667185783386": 142, "6238548159599304": 142, "6196936964988708": 142, "6155838370323181": 142, "6115222573280334": 142, "607510507106781": 142, "6035472750663757": 142, "5996331572532654": 142, "595767080783844": 142, "591823399066925": 142, "5880491137504578": 142, "584322988986969": 142, "5809481739997864": 142, "5774775147438049": 142, "5738881230354309": 142, "5703437924385071": 142, "5668451189994812": 142, "563231885433197": 142, "5598294138908386": 142, "5564765334129333": 142, "5532919764518738": 142, "550030529499054": 142, "5468166470527649": 142, "5436531901359558": 142, "5405102372169495": 142, "5374787449836731": 142, "5344657301902771": 142, "5315046906471252": 142, "5285950303077698": 142, "5256339907646179": 142, "522831380367279": 142, "5200801491737366": 142, "5173836350440979": 142, "5147390961647034": 142, "5121480822563171": 142, "5096110701560974": 142, "5071225762367249": 142, "5046605467796326": 142, "5022708773612976": 142, "4999346137046814": 142, "49765270948410034": 142, "49542003870010376": 142, "4935256838798523": 142, "49140113592147827": 142, "48933011293411255": 142, "4873122572898865": 142, "4853472113609314": 142, "48343414068222046": 142, "48157161474227905": 142, "47966164350509644": 142, "47789818048477173": 142, "47618168592453003": 142, "47451096773147583": 142, "4728878140449524": 142, "4713084101676941": 142, "4697731137275696": 142, "4682806134223938": 142, "46682947874069214": 142, "4654826521873474": 142, "4643961787223816": 142, "46305960416793823": 142, "4617624878883362": 142, "4605012536048889": 142, "4592745900154114": 142, "4580835700035095": 142, "45685285329818726": 142, "45572739839553833": 142, "4546331763267517": 142, "45347195863723755": 142, "45244091749191284": 142, "45143967866897583": 142, "45046859979629517": 142, "4493754506111145": 142, "4484627842903137": 142, "44757896661758423": 142, "44672542810440063": 142, "44589871168136597": 142, "44510024785995483": 142, "4440522789955139": 142, "44331008195877075": 142, "44259554147720337": 142, "4419075846672058": 142, "4412469267845154": 142, "440123975276947": 142, "4395158886909485": 142, "4390222430229187": 142, "43846696615219116": 142, "43793827295303345": 142, "43743282556533813": 142, "4369547963142395": 142, "4365012049674988": 142, "4360719323158264": 142, "4356667399406433": 142, "43527907133102417": 142, "4349157214164734": 142, "43511372804641724": 142, "4347969889640808": 142, "4345017075538635": 142, "43422847986221313": 142, "43397587537765503": 142, "4337436556816101": 142, "43353205919265747": 142, "4333398938179016": 142, "433165967464447": 142, "43254584074020386": 142, "4323928952217102": 142, "4322734475135803": 142, "432170569896698": 142, "4320836663246155": 142, "4320135712623596": 142, "43195682764053345": 142, "4319151043891907": 142, "4319072365760803": 142, "431893527507782": 142, "43189066648483276": 142, "43190211057662964": 142, "43192487955093384": 142, "431959331035614": 142, "4320036768913269": 142, "4320586323738098": 142, "43212300539016724": 142, "4321977496147156": 142, "4322816729545593": 142, "43229907751083374": 142, "4324033856391907": 142, "4325156807899475": 142, "4326367974281311": 142, "43257755041122437": 142, "4327126145362854": 142, "43285423517227173": 142, "43300360441207886": 142, "4332044720649719": 142, "43332141637802124": 142, "43365997076034546": 142, "433837354183197": 142, "4340202212333679": 142, "43420642614364624": 142, "4343981146812439": 142, "43452316522598267": 142, "43472176790237427": 142, "43492478132247925": 142, "43510526418685913": 142, "43531447649002075": 142, "4355265498161316": 142, "43574053049087524": 142, "4359566569328308": 142, "43617576360702515": 142, "4363613724708557": 142, "4365834593772888": 142, "43667155504226685": 142, "4367906451225281": 142, "4370136857032776": 142, "43723660707473755": 142, "43745988607406616": 142, "4376828074455261": 142, "43790537118911743": 142, "4381266236305237": 142, "4383477568626404": 142, "43856745958328247": 142, "43878549337387085": 142, "43900030851364136": 142, "4394020438194275": 142, "4395725131034851": 142, "43977969884872437": 142, "4399828314781189": 142, "440185010433197": 142, "4403933882713318": 142, "4405880570411682": 142, "44077855348587036": 142, "4409647583961487": 142, "4411466717720032": 142, "4413241744041443": 142, "4414835572242737": 142, "4416484236717224": 142, "44180864095687866": 142, "4419630169868469": 142, "44211047887802124": 142, "4422531723976135": 142, "4423883557319641": 142, "4419950842857361": 142, "44211381673812866": 142, "44222134351730347": 142, "4423244595527649": 142, "4424223303794861": 142, "44251078367233276": 142, "4425927996635437": 142, "442665159702301": 142, "44252318143844604": 142, "44257861375808716": 142, "44262808561325073": 142, "4426681399345398": 142, "44270092248916626": 142, "4427257180213928": 142, "44274359941482544": 142, "44275349378585815": 142, "4427565932273865": 142, "4427507519721985": 142, "44273728132247925": 142, "4427163004875183": 142, "44268864393234253": 142, "44265371561050415": 142, "4426119923591614": 142, "44324761629104614": 142, "4431893229484558": 142, "4431231617927551": 142, "44309455156326294": 142, "4430163502693176": 142, "4429340958595276": 142, "4428461194038391": 142, "4427524209022522": 142, "4426071047782898": 142, "44250398874282837": 142, "44239717721939087": 142, "4422847628593445": 142, "4421699643135071": 142, "4420509934425354": 142, "441927969455719": 142, "4418030381202698": 142, "44167274236679077": 142, "44152408838272095": 142, "4413899779319763": 142, "4412840008735657": 142, "4412218928337097": 142, "44107526540756226": 142, "4409254193305969": 142, "4407748579978943": 142, "44061988592147827": 142, "4404624104499817": 142, "4403037428855896": 142, "44014257192611694": 142, "43997830152511597": 142, "43981367349624634": 142, "0060722013004124165": 142, "026920868083834648": 142, "007195830810815096": 142, "007615847513079643": 142, "002649715868756175": 142, "06348782777786255": 142, "0035041607916355133": 142, "014532520435750484": 142, "035741183906793594": 142, "018331535160541534": 142, "038784343749284744": 142, "08201974630355835": 142, "007361314725130796": 142, "0073217544704675674": 142, "0036310304421931505": 142, "10082938522100449": 142, "0009365708101540804": 142, "03598665073513985": 142, "015397075563669205": 142, "025660255923867226": 142, "004096774850040674": 142, "002322959713637829": 142, "002481213305145502": 142, "06243462115526199": 142, "0004003838694188744": 142, "01843024604022503": 142, "04302011802792549": 142, "0028564382810145617": 142, "03748711571097374": 142, "08092450350522995": 142, "01050671748816967": 142, "00651552714407444": 142, "02071944996714592": 142, "0745062306523323": 142, "012453190051019192": 142, "02678810805082321": 142, "005292106885462999": 142, "027638167142868042": 142, "0020828996784985065": 142, "006057863589376211": 142, "004629839211702347": 142, "06401543319225311": 142, "006517087575048208": 142, "019493620842695236": 142, "04275987669825554": 142, "00755302794277668": 142, "028426362201571465": 142, "07283522933721542": 142, "003538920544087887": 142, "006560440640896559": 142, "022079961374402046": 142, "025520872324705124": 142, "04123913496732712": 142, "11521092057228088": 142, "13945317268371582": 142, "11835719645023346": 142, "036021336913108826": 142, "07391270250082016": 142, "19810080528259277": 142, "8183224201202393": 142, "0038157429080456495": 142, "908206939697266": 142, "429300308227539": 142, "4055620431900024": 142, "84693717956543": 142, "8162431716918945": 142, "822751760482788": 142, "90605926513672": 142, "4127109050750732": 142, "2331013679504395": 142, "848159790039062": 142, "8184916973114014": 142, "639527320861816": 142, "905405044555664": 142, "4153081178665161": 142, "038140296936035": 142, "84622573852539": 142, "661531925201416": 142, "013243863359093666": 142, "94997215270996": 142, "203455448150635": 142, "41034996509552": 142, "843769073486328": 142, "656267166137695": 142, "7942869663238525": 142, "9459285736084": 142, "22100305557251": 142, "235433101654053": 142, "847578048706055": 142, "638141632080078": 142, "632680892944336": 142, "90919303894043": 142, "221895694732666": 142, "0427680015563965": 142, "84450912475586": 142, "442630767822266": 142, "009316192008554935": 142, "946985244750977": 142, "064470291137695": 142, "4148108959197998": 142, "08979606628418": 142, "435537338256836": 142, "7869443893432617": 142, "953027725219727": 142, "047764301300049": 142, "225625038146973": 142, "85216522216797": 142, "463578224182129": 142, "629832744598389": 142, "908239364624023": 142, "051708221435547": 142, "010704517364502": 142, "837369918823242": 142, "9643778800964355": 142, "1754753589630127": 142, "056888580322266": 142, "777013301849365": 142, "052611827850342": 142, "451492309570312": 142, "860968291759491": 142, "1790130138397217": 142, "1677250862121582": 142, "158695936203003": 142, "1498353481292725": 142, "141270637512207": 142, "1325788497924805": 142, "1241047382354736": 142, "1157054901123047": 142, "107386827468872": 142, "0992975234985352": 142, "0911221504211426": 142, "0833768844604492": 142, "0750322341918945": 142, "0671303272247314": 142, "0592594146728516": 142, "0521752834320068": 142, "0445294380187988": 142, "0369126796722412": 142, "029386043548584": 142, "0219240188598633": 142, "0145237445831299": 142, "0071923732757568": 142, "0000834465026855": 142, "9933162331581116": 142, "986894428730011": 142, "9807716012001038": 142, "9745950102806091": 142, "9689305424690247": 142, "9634861350059509": 142, "9580238461494446": 142, "952980101108551": 142, "9480370879173279": 142, "9433119893074036": 142, "9387940764427185": 142, "934344470500946": 142, "9297983050346375": 142, "9259167313575745": 142, "922008216381073": 142, "918301522731781": 142, "9147501587867737": 142, "9113556742668152": 142, "908119261264801": 142, "9050704836845398": 142, "9021362662315369": 142, "8994014859199524": 142, "8968600630760193": 142, "8944968581199646": 142, "8923506140708923": 142, "8904470801353455": 142, "8882279992103577": 142, "8867679238319397": 142, "8854411244392395": 142, "8842458128929138": 142, "8831786513328552": 142, "8822097182273865": 142, "8812019228935242": 142, "8801385760307312": 142, "8793022036552429": 142, "8784725069999695": 142, "8775644898414612": 142, "8766850829124451": 142, "8758824467658997": 142, "8749157786369324": 142, "8742086291313171": 142, "8735902905464172": 142, "8730911612510681": 142, "8727334141731262": 142, "8721838593482971": 142, "8720102906227112": 142, "872114360332489": 142, "8724760413169861": 142, "8728607296943665": 142, "873417317867279": 142, "8740002512931824": 142, "8746597170829773": 142, "875339925289154": 142, "8760966658592224": 142, "8768841624259949": 142, "8776912093162537": 142, "878510057926178": 142, "8800621628761292": 142, "8808733820915222": 142, "8816247582435608": 142, "88241046667099": 142, "8831776976585388": 142, "8839256167411804": 142, "8846463561058044": 142, "885341227054596": 142, "886008083820343": 142, "8866444230079651": 142, "8872507214546204": 142, "8875979781150818": 142, "8881328701972961": 142, "8886353373527527": 142, "8891014456748962": 142, "8894223570823669": 142, "8898178935050964": 142, "8901752829551697": 142, "8904984593391418": 142, "8907845616340637": 142, "8909863829612732": 142, "8912011981010437": 142, "8913808465003967": 142, "8915250897407532": 142, "8916388154029846": 142, "8917166590690613": 142, "8917633891105652": 142, "8917815089225769": 142, "8917704224586487": 142, "8917335867881775": 142, "8916690945625305": 142, "8915806412696838": 142, "8914685845375061": 142, "8913367390632629": 142, "891186535358429": 142, "8910178542137146": 142, "8908278346061707": 142, "8905403017997742": 142, "8903195261955261": 142, "8900488018989563": 142, "8898047804832458": 142, "889548122882843": 142, "8892839550971985": 142, "8890092968940735": 142, "8887268900871277": 142, "8884362578392029": 142, "8881391882896423": 142, "8878358006477356": 142, "8875300288200378": 142, "8871983885765076": 142, "8868796229362488": 142, "8865590691566467": 142, "8862320780754089": 142, "8857625126838684": 142, "8854296803474426": 142, "8850961327552795": 142, "884759247303009": 142, "8844218850135803": 142, "8840799927711487": 142, "8837403655052185": 142, "8833978772163391": 142, "8829558491706848": 142, "8826088309288025": 142, "8822610974311829": 142, "881986677646637": 142, "881635844707489": 142, "8812852501869202": 142, "8809331059455872": 142, "880580723285675": 142, "8804158568382263": 142, "8800610899925232": 142, "8797102570533752": 142, "8792038559913635": 142, "8788203597068787": 142, "8784729838371277": 142, "8781288266181946": 142, "8777816891670227": 142, "8775884509086609": 142, "8772420287132263": 142, "8769019246101379": 142, "8765614628791809": 142, "8759109377861023": 142, "8755732178688049": 142, "8753412365913391": 142, "8740089535713196": 142, "8737007975578308": 142, "8733920454978943": 142, "8730873465538025": 142, "8727832436561584": 142, "87248295545578": 142, "8721825480461121": 142, "8718820214271545": 142, "8715860247612": 142, "8712882399559021": 142, "8709924817085266": 142, "870698869228363": 142, "870404064655304": 142, "870110809803009": 142, "8687652945518494": 142, "868486225605011": 142, "8682088255882263": 142, "8679327368736267": 142, "8677449822425842": 142, "8675292134284973": 142, "8672024607658386": 142, "8669289946556091": 142, "8666557669639587": 142, "8659818768501282": 142, "8657154440879822": 142, "8654897809028625": 142, "8652260899543762": 142, "8649618029594421": 142, "8648234009742737": 142, "8645592331886292": 142, "8642954230308533": 142, "8640317320823669": 142, "8637650609016418": 142, "8635010123252869": 142, "8631448149681091": 142, "8628787398338318": 142, "8627640604972839": 142, "8624094128608704": 142, "8621405959129333": 142, "8618728518486023": 142, "8616920113563538": 142, "8613349795341492": 142, "862314760684967": 142, "8620660901069641": 142, "8618139624595642": 142, "8616523146629333": 142, "8613155484199524": 142, "8610644936561584": 142, "8608165383338928": 142, "8606578707695007": 142, "8603236079216003": 142, "8600133061408997": 142, "8598580956459045": 142, "8596199154853821": 142, "8592960238456726": 142, "8591473698616028": 142, "8589175343513489": 142, "858692467212677": 142, "858470618724823": 142, "8582515120506287": 142, "8580374121665955": 142, "8578295111656189": 142, "8576253056526184": 142, "8574287295341492": 142, "8572013974189758": 142, "8570155501365662": 142, "8568366169929504": 142, "8566648364067078": 142, "8564987778663635": 142, "8563413023948669": 142, "856192409992218": 142, "856048047542572": 142, "8559144139289856": 142, "8557866215705872": 142, "8556671738624573": 142, "8555551171302795": 142, "8554518818855286": 142, "8553548455238342": 142, "8552679419517517": 142, "8551880717277527": 142, "8552672266960144": 142, "8552039265632629": 142, "8551501631736755": 142, "8551009297370911": 142, "8550621867179871": 142, "8552502989768982": 142, "8552286028862": 142, "8552176356315613": 142, "8552119135856628": 142, "855214536190033": 142, "8552250266075134": 142, "855241596698761": 142, "8552711606025696": 142, "8553029894828796": 142, "855340301990509": 142, "8553839325904846": 142, "8554084897041321": 142, "8554038405418396": 142, "8554661870002747": 142, "8555585741996765": 142, "8556358218193054": 142, "8557206988334656": 142, "8558087944984436": 142, "8559029698371887": 142, "8560039401054382": 142, "8561094403266907": 142, "8562228083610535": 142, "8564651608467102": 142, "8565946221351624": 142, "8567312359809875": 142, "8569100499153137": 142, "856929361820221": 142, "8570825457572937": 142, "8572439551353455": 142, "8574079871177673": 142, "857578694820404": 142, "8577510714530945": 142, "8577082753181458": 142, "857890784740448": 142, "8579954504966736": 142, "8581861853599548": 142, "8584268689155579": 142, "8586261868476868": 142, "8588297963142395": 142, "8590360283851624": 142, "8592471480369568": 142, "8594610095024109": 142, "8596122860908508": 142, "8598344922065735": 142, "8600289225578308": 142, "8602568507194519": 142, "8604915738105774": 142, "8607273697853088": 142, "0007466633687727153": 142, "0031526153907179832": 142, "004949084483087063": 142, "0013810319360345602": 142, "0005169130163267255": 142, "004127816762775183": 142, "00011328924301778898": 142, "001106858253479004": 142, "004883486311882734": 142, "0044189984910190105": 142, "001652299310080707": 142, "00724767567589879": 142, "0005144441965967417": 142, "0016699873376637697": 142, "002880958141759038": 142, "0017070609610527754": 142, "0011829304276034236": 142, "007138346787542105": 142, "0007572871982119977": 142, "0023407703265547752": 142, "002002882305532694": 142, "0007063914090394974": 142, "0011031379690393806": 142, "0050940136425197124": 142, "0026531678158789873": 142, "0010529322316870093": 142, "004355562385171652": 142, "0005004972917959094": 142, "00017689086962491274": 142, "008308331482112408": 142, "00283982721157372": 142, "003596362192183733": 142, "006453480571508408": 142, "0003627561090979725": 142, "002657678909599781": 142, "006500843912363052": 142, "0006729718879796565": 142, "0024418083485215902": 142, "0026694678235799074": 142, "0019982929807156324": 142, "020472606644034386": 142, "01636599563062191": 142, "002086384454742074": 142, "0001865382510004565": 142, "004890228156000376": 142, "0012607417302206159": 142, "008921709842979908": 142, "0010674872901290655": 142, "003875253489241004": 142, "003206213004887104": 142, "006490042433142662": 142, "0013758812565356493": 142, "006993628107011318": 142, "004784032702445984": 142, "007031898945569992": 142, "04328543320298195": 142, "006793544162064791": 142, "0010957418708130717": 142, "018165340647101402": 142, "02626878209412098": 142, "8361475467681885": 142, "042237669229507446": 142, "93600845336914": 142, "3919340372085571": 142, "3841352462768555": 142, "83967399597168": 142, "8402910232543945": 142, "8068044185638428": 142, "93451690673828": 142, "385179877281189": 142, "197569370269775": 142, "833724975585938": 142, "8433165550231934": 142, "614964008331299": 142, "95860481262207": 142, "3832777738571167": 142, "037171840667725": 142, "841876983642578": 142, "621401786804199": 142, "04397809877991676": 142, "938283920288086": 142, "230554103851318": 142, "3223822116851807": 142, "880786895751953": 142, "6233344078063965": 142, "804749011993408": 142, "93478775024414": 142, "200336933135986": 142, "997999429702759": 142, "006139755249023": 142, "610917091369629": 142, "61485481262207": 142, "96744728088379": 142, "1956329345703125": 142, "0673980712890625": 142, "022594451904297": 142, "460848808288574": 142, "007577423471957445": 142, "891902923583984": 142, "064661026000977": 142, "3822290897369385": 142, "84050941467285": 142, "463407516479492": 142, "802095890045166": 142, "888145446777344": 142, "079432010650635": 142, "19234037399292": 142, "82534408569336": 142, "461372375488281": 142, "632631778717041": 142, "90142059326172": 142, "069457530975342": 142, "038834095001221": 142, "83555030822754": 142, "305971145629883": 142, "436943054199219": 142, "514440536499023": 142, "465487241744995": 142, "335139751434326": 142, "012836456298828": 142, "48206084966659546": 142, "0893993377685547": 142, "077500581741333": 142, "0694057941436768": 142, "0612742900848389": 142, "0533709526062012": 142, "045644998550415": 142, "0380089282989502": 142, "0298833847045898": 142, "0227198600769043": 142, "0153398513793945": 142, "0082118511199951": 142, "0014724731445312": 142, "9948727488517761": 142, "988565981388092": 142, "9823229908943176": 142, "9763944745063782": 142, "9702011942863464": 142, "9642220139503479": 142, "9583364129066467": 142, "9529433846473694": 142, "947430431842804": 142, "9426191449165344": 142, "9374600052833557": 142, "9324732422828674": 142, "927695095539093": 142, "9228864312171936": 142, "9182984232902527": 142, "9139459729194641": 142, "9096212983131409": 142, "9054226279258728": 142, "901343047618866": 142, "8973820805549622": 142, "8935868144035339": 142, "8898043036460876": 142, "8861709237098694": 142, "8826425671577454": 142, "8792135119438171": 142, "8758834004402161": 142, "8726480603218079": 142, "869708240032196": 142, "8666533827781677": 142, "863694965839386": 142, "8608099818229675": 142, "8580042719841003": 142, "8552804589271545": 142, "8526334166526794": 142, "8501395583152771": 142, "8476424813270569": 142, "8452573418617249": 142, "8429049849510193": 142, "8406192660331726": 142, "8384312987327576": 142, "8363731503486633": 142, "8342892527580261": 142, "8322120308876038": 142, "8302486538887024": 142, "8283366560935974": 142, "8264886736869812": 142, "8245009779930115": 142, "8227588534355164": 142, "8210629820823669": 142, "8193150162696838": 142, "8177041411399841": 142, "8161292672157288": 142, "8145850300788879": 142, "8129957318305969": 142, "8115014433860779": 142, "8100566267967224": 142, "8086535334587097": 142, "8076218962669373": 142, "8062931895256042": 142, "804990828037262": 142, "8031401038169861": 142, "8018842339515686": 142, "8006468415260315": 142, "799428403377533": 142, "7983940243721008": 142, "7972109913825989": 142, "7960466742515564": 142, "7948988080024719": 142, "7926574349403381": 142, "7915638089179993": 142, "790486752986908": 142, "7894278168678284": 142, "7883870005607605": 142, "7873641848564148": 142, "7864368557929993": 142, "7854475378990173": 142, "7844741940498352": 142, "7835164666175842": 142, "782564103603363": 142, "7816324830055237": 142, "7807125449180603": 142, "7797693610191345": 142, "7788665890693665": 142, "7779702544212341": 142, "7770799994468689": 142, "7761810421943665": 142, "7752956748008728": 142, "7744123339653015": 142, "7733957171440125": 142, "7725096344947815": 142, "7716190218925476": 142, "7707241177558899": 142, "7696954607963562": 142, "7687903046607971": 142, "7678788304328918": 142, "7669593691825867": 142, "7660308480262756": 142, "7650933861732483": 142, "7641463875770569": 142, "7631897330284119": 142, "761705219745636": 142, "7607235312461853": 142, "7597417235374451": 142, "7587385773658752": 142, "7577245831489563": 142, "7566986680030823": 142, "7556605935096741": 142, "7546104788780212": 142, "7535484433174133": 142, "7524740099906921": 142, "7513869404792786": 142, "7502887845039368": 142, "7490916848182678": 142, "7479692101478577": 142, "7468352913856506": 142, "7456883788108826": 142, "7445299029350281": 142, "7433570027351379": 142, "7421718239784241": 142, "7409759163856506": 142, "7397653460502625": 142, "7384547591209412": 142, "7372172474861145": 142, "7359665036201477": 142, "734701931476593": 142, "7334240078926086": 142, "7321321368217468": 142, "7308275103569031": 142, "7295098900794983": 142, "7281797528266907": 142, "7267503142356873": 142, "7253960967063904": 142, "7240288853645325": 142, "722650945186615": 142, "7212645411491394": 142, "719760000705719": 142, "7183530926704407": 142, "7169370055198669": 142, "71551114320755": 142, "7140561938285828": 142, "7126126885414124": 142, "7111591696739197": 142, "7096976637840271": 142, "7082266211509705": 142, "7067463994026184": 142, "7052558064460754": 142, "7037037014961243": 142, "7021963000297546": 142, "7006787657737732": 142, "6991490721702576": 142, "6976112723350525": 142, "6960631012916565": 142, "6945045590400696": 142, "6929369568824768": 142, "6913583874702454": 142, "6897706389427185": 142, "6881739497184753": 142, "6865680813789368": 142, "6849526762962341": 142, "6833283305168152": 142, "681695282459259": 142, "6800540089607239": 142, "6784231066703796": 142, "6767672896385193": 142, "6751043200492859": 142, "6734327673912048": 142, "6717528700828552": 142, "6700670123100281": 142, "6683726906776428": 142, "6666709780693054": 142, "6649617552757263": 142, "6632433533668518": 142, "6615191102027893": 142, "659785807132721": 142, "6580458283424377": 142, "6562969088554382": 142, "6545419096946716": 142, "6527783274650574": 142, "6510060429573059": 142, "649064838886261": 142, "6472761034965515": 142, "6454783082008362": 142, "6436737179756165": 142, "6418624520301819": 142, "640045702457428": 142, "6382250189781189": 142, "6363995671272278": 142, "634570300579071": 142, "6328521370887756": 142, "6310123801231384": 142, "6291679739952087": 142, "6273216605186462": 142, "6254704594612122": 142, "6236167550086975": 142, "6217593550682068": 142, "6198109984397888": 142, "6179510951042175": 142, "6160903573036194": 142, "6142280697822571": 142, "6123670935630798": 142, "6105510592460632": 142, "6090002655982971": 142, "607146680355072": 142, "605295717716217": 142, "6034489274024963": 142, "6018080115318298": 142, "5994952321052551": 142, "597668468952179": 142, "595846951007843": 142, "5940305590629578": 142, "592221200466156": 142, "5904174447059631": 142, "588620126247406": 142, "5868272185325623": 142, "5850406289100647": 142, "583259642124176": 142, "5814843773841858": 142, "5797142386436462": 142, "5779486298561096": 142, "5767181515693665": 142, "5749663710594177": 142, "5733234286308289": 142, "57157963514328": 142, "5698409676551819": 142, "5683459639549255": 142, "5670332312583923": 142, "5653075575828552": 142, "5636983513832092": 142, "5619828104972839": 142, "5602743029594421": 142, "5585735440254211": 142, "5568795800209045": 142, "5551947951316833": 142, "5535184741020203": 142, "551852285861969": 142, "5501942038536072": 142, "5485474467277527": 142, "5469104647636414": 142, "5452849268913269": 142, "5436704754829407": 142, "5420684218406677": 142, "5404797196388245": 142, "5389032959938049": 142, "5373397469520569": 142, "5357895493507385": 142, "5342528223991394": 142, "53272944688797": 142, "5312195420265198": 142, "5297237038612366": 142, "5282767415046692": 142, "526806652545929": 142, "5253497958183289": 142, "5239070057868958": 142, "5224787592887878": 142, "521064817905426": 142, "5196653008460999": 142, "5182768702507019": 142, "5169020295143127": 142, "5155408978462219": 142, "5141929984092712": 142, "5128563046455383": 142, "5115328431129456": 142, "5103532671928406": 142, "5090528130531311": 142, "507767379283905": 142, "5064906477928162": 142, "5052266716957092": 142, "5039729475975037": 142, "5026397109031677": 142, "5014088749885559": 142, "500188410282135": 142, "4990794062614441": 142, "4978802800178528": 142, "49668949842453003": 142, "4955095648765564": 142, "4943400025367737": 142, "49317771196365356": 142, "49202603101730347": 142, "49088340997695923": 142, "4897494912147522": 142, "4886254668235779": 142, "48750966787338257": 142, "4864022135734558": 142, "48530441522598267": 142, "4842151999473572": 142, "4831342101097107": 142, "0014474455965682864": 142, "008723163977265358": 142, "023434842005372047": 142, "002121145837008953": 142, "0027060217689722776": 142, "03421592339873314": 142, "007791412528604269": 142, "017415007576346397": 142, "005028094630688429": 142, "006465333979576826": 142, "006470308639109135": 142, "03604525700211525": 142, "00996571034193039": 142, "0022643408738076687": 142, "005411806516349316": 142, "001548701198771596": 142, "012766900472342968": 142, "03594118729233742": 142, "002148557221516967": 142, "005958564579486847": 142, "018430350348353386": 142, "002867537084966898": 142, "025657648220658302": 142, "028671875596046448": 142, "008714164607226849": 142, "018170146271586418": 142, "0008552923682145774": 142, "02329312078654766": 142, "0699610635638237": 142, "063874252140522": 142, "0048187505453825": 142, "0008715845178812742": 142, "006951828021556139": 142, "010119630955159664": 142, "017490733414888382": 142, "013139290735125542": 142, "0037510471884161234": 142, "004321621265262365": 142, "015518181025981903": 142, "0019923795480281115": 142, "004495777189731598": 142, "034348271787166595": 142, "00042407147702760994": 142, "0036057522520422935": 142, "01383369043469429": 142, "0086209112778306": 142, "009078944101929665": 142, "03251372650265694": 142, "0029576497618108988": 142, "0065484424121677876": 142, "014133519493043423": 142, "0009875567629933357": 142, "01079638209193945": 142, "029818594455718994": 142, "011600770987570286": 142, "15321077406406403": 142, "06287229061126709": 142, "014130757190287113": 142, "22946058213710785": 142, "11458710581064224": 142, "827801465988159": 142, "0008653055410832167": 142, "895524978637695": 142, "4565935134887695": 142, "4322928190231323": 142, "812410354614258": 142, "835740804672241": 142, "8289222717285156": 142, "886625289916992": 142, "4279276132583618": 142, "241393566131592": 142, "829402923583984": 142, "827723979949951": 142, "6397809982299805": 142, "886186599731445": 142, "4367165565490723": 142, "042590618133545": 142, "81904411315918": 142, "667868137359619": 142, "009818903170526028": 142, "9539794921875": 142, "210037708282471": 142, "414030909538269": 142, "6773362159729": 142, "794494390487671": 142, "954566955566406": 142, "219780921936035": 142, "244548797607422": 142, "836748123168945": 142, "655877590179443": 142, "647712230682373": 142, "915393829345703": 142, "221796035766602": 142, "045690059661865": 142, "835437774658203": 142, "43884563446045": 142, "01889156922698021": 142, "963531494140625": 142, "978673934936523": 142, "607438564300537": 142, "050888061523438": 142, "452057838439941": 142, "810070514678955": 142, "9342041015625": 142, "0616984367370605": 142, "281728267669678": 142, "868160247802734": 142, "457497596740723": 142, "651637077331543": 142, "909542083740234": 142, "054696083068848": 142, "011219501495361": 142, "927885055541992": 142, "324810028076172": 142, "4603632390499115": 142, "687074661254883": 142, "506784439086914": 142, "5207564234733582": 142, "226333618164062": 142, "7054783701896667": 142, "3159139156341553": 142, "3040218353271484": 142, "295863151550293": 142, "28731107711792": 142, "2791707515716553": 142, "2712373733520508": 142, "2631208896636963": 142, "255382776260376": 142, "2473094463348389": 142, "2394461631774902": 142, "2316431999206543": 142, "2239246368408203": 142, "2163338661193848": 142, "2089314460754395": 142, "2014596462249756": 142, "1939582824707031": 142, "186110496520996": 142, "1788661479949951": 142, "1716134548187256": 142, "1644706726074219": 142, "1575572490692139": 142, "1508071422576904": 142, "1442036628723145": 142, "137746810913086": 142, "1314301490783691": 142, "1252508163452148": 142, "1192076206207275": 142, "1132948398590088": 142, "1073894500732422": 142, "1016812324523926": 142, "096224308013916": 142, "0908689498901367": 142, "0856728553771973": 142, "0804815292358398": 142, "075472116470337": 142, "0704991817474365": 142, "0656774044036865": 142, "060910940170288": 142, "0561192035675049": 142, "05155348777771": 142, "04707932472229": 142, "0427026748657227": 142, "038292646408081": 142, "033811330795288": 142, "029703140258789": 142, "0253803730010986": 142, "0214452743530273": 142, "0176916122436523": 142, "013922929763794": 142, "0101046562194824": 142, "0065093040466309": 142, "002995252609253": 142, "9995852112770081": 142, "9962367415428162": 142, "9929710030555725": 142, "9897832274436951": 142, "9867605566978455": 142, "9837310910224915": 142, "9794201254844666": 142, "9765368103981018": 142, "9737281203269958": 142, "9709965586662292": 142, "9683390259742737": 142, "9657508730888367": 142, "9631887078285217": 142, "9607686400413513": 142, "9585760235786438": 142, "95626300573349": 142, "9540181756019592": 142, "9517824053764343": 142, "9496660828590393": 142, "947612464427948": 142, "9457239508628845": 142, "9437902569770813": 142, "9419148564338684": 142, "9400952458381653": 142, "9383328557014465": 142, "9366260170936584": 142, "9349702000617981": 142, "9333668351173401": 142, "9318180680274963": 142, "9303163886070251": 142, "9288578629493713": 142, "9274575114250183": 142, "9261022210121155": 142, "924795925617218": 142, "9235313534736633": 142, "9223116040229797": 142, "9211327433586121": 142, "91999751329422": 142, "9188992381095886": 142, "9178375601768494": 142, "9168002009391785": 142, "9158121943473816": 142, "9148538708686829": 142, "9139261841773987": 142, "9130247235298157": 142, "9121490120887756": 142, "9113509058952332": 142, "9105122685432434": 142, "9096984267234802": 142, "9089029431343079": 142, "9081193804740906": 142, "907350480556488": 142, "9065642952919006": 142, "9058170914649963": 142, "9050789475440979": 142, "9043505787849426": 142, "9036293625831604": 142, "9029186367988586": 142, "9022154211997986": 142, "9015206694602966": 142, "9008341431617737": 142, "9002785086631775": 142, "8996062874794006": 142, "8989455103874207": 142, "8983879685401917": 142, "8977429270744324": 142, "8971074223518372": 142, "8964807391166687": 142, "8958632349967957": 142, "895253598690033": 142, "8946501612663269": 142, "8940549492835999": 142, "8934646248817444": 142, "892880380153656": 142, "8926666378974915": 142, "891922652721405": 142, "8913472294807434": 142, "8907741904258728": 142, "8902050852775574": 142, "8896337151527405": 142, "8893232941627502": 142, "8887485861778259": 142, "8881729245185852": 142, "8875946402549744": 142, "8870125412940979": 142, "88642817735672": 142, "8858391642570496": 142, "8852434754371643": 142, "8850051760673523": 142, "8848201632499695": 142, "884215772151947": 142, "8835018277168274": 142, "8828807473182678": 142, "8822527527809143": 142, "8816165328025818": 142, "8808755278587341": 142, "8802191615104675": 142, "8795525431632996": 142, "8788755536079407": 142, "8781886696815491": 142, "8774896264076233": 142, "8768643736839294": 142, "8761412501335144": 142, "8754052519798279": 142, "8750544190406799": 142, "8742915987968445": 142, "8735138773918152": 142, "8727226853370667": 142, "8719157576560974": 142, "8709695935249329": 142, "87013179063797": 142, "8692769408226013": 142, "8684056401252747": 142, "8675242066383362": 142, "8666449189186096": 142, "8657543063163757": 142, "8648602366447449": 142, "8639605641365051": 142, "8630563616752625": 142, "8621483445167542": 142, "8612366318702698": 142, "8603193163871765": 142, "8593992590904236": 142, "8584763407707214": 142, "8575500845909119": 142, "8566194176673889": 142, "8556864857673645": 142, "8547517657279968": 142, "8538115620613098": 142, "8528696894645691": 142, "8518665432929993": 142, "8509216904640198": 142, "8499732613563538": 142, "8490193486213684": 142, "8480611443519592": 142, "8470976948738098": 142, "8461290001869202": 142, "8451531529426575": 142, "8441705107688904": 142, "8431821465492249": 142, "8421847224235535": 142, "8411803841590881": 142, "8401669859886169": 142, "8391452431678772": 142, "8381516337394714": 142, "8371120095252991": 142, "8360177874565125": 142, "8349593281745911": 142, "8336461186408997": 142, "8325669169425964": 142, "8314763903617859": 142, "8303781151771545": 142, "8292693495750427": 142, "8281522393226624": 142, "8270261883735657": 142, "8258944153785706": 142, "8247526288032532": 142, "8236047625541687": 142, "8224512934684753": 142, "8212915062904358": 142, "8201280236244202": 142, "8189592957496643": 142, "8177867531776428": 142, "8166086077690125": 142, "8154281973838806": 142, "8142454028129578": 142, "8130584359169006": 142, "8120225071907043": 142, "8107777237892151": 142, "8095861077308655": 142, "8083935379981995": 142, "8071981072425842": 142, "8060012459754944": 142, "8048012852668762": 142, "8036020398139954": 142, "8023986220359802": 142, "8011940121650696": 142, "7999858260154724": 142, "7987759709358215": 142, "7974600195884705": 142, "7962431311607361": 142, "7950237393379211": 142, "7938013672828674": 142, "7925739884376526": 142, "7913432717323303": 142, "7901415228843689": 142, "7889036536216736": 142, "787641704082489": 142, "7863981127738953": 142, "7851487994194031": 142, "783896267414093": 142, "7826386094093323": 142, "7813772559165955": 142, "7801113724708557": 142, "7788587212562561": 142, "7775866389274597": 142, "7763251662254333": 142, "7750473618507385": 142, "7737661004066467": 142, "7724804282188416": 142, "7711907029151917": 142, "7698970437049866": 142, "7686002850532532": 142, "767299234867096": 142, "7659936547279358": 142, "7646843791007996": 142, "7633704543113708": 142, "7620512843132019": 142, "7607296109199524": 142, "7594011425971985": 142, "7580698132514954": 142, "7567324042320251": 142, "7553898692131042": 142, "7540441155433655": 142, "7526922821998596": 142, "7513362765312195": 142, "7496615052223206": 142, "7482954859733582": 142, "7469252943992615": 142, "7455500960350037": 142, "7441696524620056": 142, "7427858710289001": 142, "74139803647995": 142, "7400067448616028": 142, "7386110424995422": 142, "7372121214866638": 142, "7358084321022034": 142, "7344315648078918": 142, "7330211997032166": 142, "7316077351570129": 142, "7301884293556213": 142, "7287654280662537": 142, "7274447083473206": 142, "7260110974311829": 142, "7245727181434631": 142, "7231277823448181": 142, "7216776013374329": 142, "7202219367027283": 142, "718762218952179": 142, "7172954678535461": 142, "7158238291740417": 142, "7143474221229553": 142, "7129350304603577": 142, "7114493250846863": 142, "709961473941803": 142, "7069749236106873": 142, "005429218057543039": 142, "007240190636366606": 142, "02728382870554924": 142, "033144742250442505": 142, "0025849679950624704": 142, "07122606039047241": 142, "015497483313083649": 142, "0016861825715750456": 142, "026838554069399834": 142, "004285537172108889": 142, "005150505341589451": 142, "055993422865867615": 142, "0009640741627663374": 142, "00530485063791275": 142, "02809937298297882": 142, "005410224664956331": 142, "018350418657064438": 142, "06335742026567459": 142, "00922833476215601": 142, "007939602248370647": 142, "01030175294727087": 142, "012623140588402748": 142, "019807692617177963": 142, "03821491077542305": 142, "03213293477892876": 142, "055728476494550705": 142, "024913618341088295": 142, "005360814742743969": 142, "0030981949530541897": 142, "05165901035070419": 142, "013890349306166172": 142, "040954917669296265": 142, "049272529780864716": 142, "0022313185036182404": 142, "01926911249756813": 142, "05692274123430252": 142, "006661377847194672": 142, "001066369703039527": 142, "00304914521984756": 142, "06389196217060089": 142, "007832273840904236": 142, "13310731947422028": 142, "006145551335066557": 142, "0322624109685421": 142, "0040376256220042706": 142, "0035371361300349236": 142, "03920702263712883": 142, "055290576070547104": 142, "012587849982082844": 142, "032532721757888794": 142, "045368846505880356": 142, "005966236349195242": 142, "0826617032289505": 142, "16373182833194733": 142, "15824034810066223": 142, "31787005066871643": 142, "18794851005077362": 142, "0008554241503588855": 142, "10450064390897751": 142, "015375320799648762": 142, "8223767280578613": 142, "0061509269289672375": 142, "902549743652344": 142, "415671944618225": 142, "4192488193511963": 142, "84818458557129": 142, "7981274127960205": 142, "857592821121216": 142, "969280242919922": 142, "5434094667434692": 142, "441335201263428": 142, "288209915161133": 142, "7964751720428467": 142, "615870475769043": 142, "97466278076172": 142, "4223053455352783": 142, "126627445220947": 142, "8795108795166": 142, "646254539489746": 142, "0033523021265864372": 142, "894874572753906": 142, "240861415863037": 142, "4099375009536743": 142, "836284637451172": 142, "649746894836426": 142, "8276877403259277": 142, "90843391418457": 142, "288204193115234": 142, "249547481536865": 142, "859533309936523": 142, "65569543838501": 142, "644870281219482": 142, "903261184692383": 142, "254481315612793": 142, "078822612762451": 142, "840415954589844": 142, "467309951782227": 142, "0005388172576203942": 142, "90714454650879": 142, "051745414733887": 142, "4083585739135742": 142, "837615966796875": 142, "500779151916504": 142, "855389356613159": 142, "972089767456055": 142, "064373016357422": 142, "238171100616455": 142, "86383056640625": 142, "514775276184082": 142, "608220100402832": 142, "991161346435547": 142, "047706604003906": 142, "066165924072266": 142, "843482971191406": 142, "6372714042663574": 142, "09695291519165": 142, "24295425415039": 142, "5857800245285034": 142, "947176456451416": 142, "732345581054688": 142, "962629497051239": 142, "18107008934021": 142, "169485092163086": 142, "1595792770385742": 142, "149496078491211": 142, "1396911144256592": 142, "129920482635498": 142, "1202828884124756": 142, "1105496883392334": 142, "101012945175171": 142, "0914678573608398": 142, "0821154117584229": 142, "07212495803833": 142, "062589406967163": 142, "053318977355957": 142, "0440032482147217": 142, "0345375537872314": 142, "0253195762634277": 142, "016706943511963": 142, "0086781978607178": 142, "0011065006256104": 142, "9939581751823425": 142, "9871850609779358": 142, "98075932264328": 142, "9746024012565613": 142, "9685918688774109": 142, "9629948735237122": 142, "9575260281562805": 142, "9522684216499329": 142, "9473535418510437": 142, "9424853920936584": 142, "9377115368843079": 142, "9333344101905823": 142, "9293970465660095": 142, "9253435730934143": 142, "921445906162262": 142, "917695939540863": 142, "9140873551368713": 142, "9104649424552917": 142, "9071279168128967": 142, "9039209485054016": 142, "9014163613319397": 142, "898395836353302": 142, "8955625891685486": 142, "8929352164268494": 142, "8903425335884094": 142, "8878323435783386": 142, "8854531645774841": 142, "8832432627677917": 142, "881159245967865": 142, "8792082667350769": 142, "8773483633995056": 142, "8757115006446838": 142, "8742148280143738": 142, "8728067278862": 142, "8705934882164001": 142, "8694432377815247": 142, "868420422077179": 142, "8675053715705872": 142, "8667015433311462": 142, "8659778237342834": 142, "8652907013893127": 142, "8645696043968201": 142, "8639349341392517": 142, "86359041929245": 142, "8629358410835266": 142, "8622686266899109": 142, "8615773320198059": 142, "8608713746070862": 142, "8599026799201965": 142, "8591781258583069": 142, "8583257794380188": 142, "8577528595924377": 142, "8570627570152283": 142, "8563991189002991": 142, "855802595615387": 142, "8552747368812561": 142, "8549681305885315": 142, "8546170592308044": 142, "854369580745697": 142, "8542342782020569": 142, "8542153239250183": 142, "8543122410774231": 142, "85451740026474": 142, "8548231720924377": 142, "8552190661430359": 142, "8556970953941345": 142, "8562459349632263": 142, "8568999171257019": 142, "8575664162635803": 142, "8581454157829285": 142, "8589029908180237": 142, "8596990704536438": 142, "8605316281318665": 142, "8613952994346619": 142, "862287700176239": 142, "8632147908210754": 142, "8641567826271057": 142, "865205705165863": 142, "8659835457801819": 142, "8669846653938293": 142, "8680006861686707": 142, "8688415884971619": 142, "8698850274085999": 142, "8709402680397034": 142, "8720083832740784": 142, "8730844855308533": 142, "8741709589958191": 142, "8746016621589661": 142, "8756967186927795": 142, "8767418265342712": 142, "8779018521308899": 142, "8790226578712463": 142, "8801483511924744": 142, "8812806010246277": 142, "8824151158332825": 142, "883324921131134": 142, "8844626545906067": 142, "8856003880500793": 142, "8870719075202942": 142, "8880038857460022": 142, "8889885544776917": 142, "8901224732398987": 142, "8912498354911804": 142, "8923736214637756": 142, "8934903740882874": 142, "8945996165275574": 142, "8957006335258484": 142, "8967986702919006": 142, "897885262966156": 142, "8989666104316711": 142, "9000372290611267": 142, "9010972380638123": 142, "90214604139328": 142, "9031887650489807": 142, "9041771292686462": 142, "9047206044197083": 142, "9057231545448303": 142, "9067159295082092": 142, "9076966643333435": 142, "9086664319038391": 142, "9096267819404602": 142, "9105750918388367": 142, "9115095734596252": 142, "9124343991279602": 142, "9133455157279968": 142, "9142469763755798": 142, "9151372313499451": 142, "9160160422325134": 142, "9177386164665222": 142, "9185861945152283": 142, "9194228053092957": 142, "9202490448951721": 142, "9214012026786804": 142, "9222126603126526": 142, "9230144619941711": 142, "9237563014030457": 142, "9245815873146057": 142, "9253577589988708": 142, "926124632358551": 142, "9267000555992126": 142, "9273908734321594": 142, "9281511902809143": 142, "9289053082466125": 142, "9296539425849915": 142, "9303953051567078": 142, "9312636256217957": 142, "9319865107536316": 142, "9326979517936707": 142, "933401882648468": 142, "9347918629646301": 142, "9353663325309753": 142, "9360449910163879": 142, "9367125630378723": 142, "9373748898506165": 142, "9380281567573547": 142, "9386746287345886": 142, "9393122792243958": 142, "9399415850639343": 142, "9405601620674133": 142, "9411701560020447": 142, "9417712092399597": 142, "9432241320610046": 142, "9437941908836365": 142, "9443511366844177": 142, "9448948502540588": 142, "9452547430992126": 142, "9457777142524719": 142, "9462911486625671": 142, "9466461539268494": 142, "9471344351768494": 142, "9476078152656555": 142, "9480717778205872": 142, "9485196471214294": 142, "9489591717720032": 142, "9493865370750427": 142, "9498657584190369": 142, "9502702355384827": 142, "9506639838218689": 142, "9510464072227478": 142, "9514181017875671": 142, "9517733454704285": 142, "9521240592002869": 142, "9524646401405334": 142, "9527959227561951": 142, "9530927538871765": 142, "9534047245979309": 142, "9538981318473816": 142, "9541900753974915": 142, "9544783234596252": 142, "9547565579414368": 142, "9550294280052185": 142, "9552940726280212": 142, "9552150368690491": 142, "9554654955863953": 142, "9557134509086609": 142, "9559537768363953": 142, "956092894077301": 142, "9565593600273132": 142, "9567796587944031": 142, "956997811794281": 142, "9572110772132874": 142, "9574186205863953": 142, "9577429890632629": 142, "9579443335533142": 142, "9581400752067566": 142, "9583328366279602": 142, "9588776230812073": 142, "9590598940849304": 142, "9606643319129944": 142, "9603155255317688": 142, "9604795575141907": 142, "9606413245201111": 142, "9607965350151062": 142, "9611243605613708": 142, "9612756371498108": 142, "9614234566688538": 142, "9615668654441833": 142, "9619265198707581": 142, "9620640873908997": 142, "9618416428565979": 142, "9622568488121033": 142, "9623787999153137": 142, "9624971747398376": 142, "9626125693321228": 142, "9627243876457214": 142, "9628322720527649": 142, "962933361530304": 142, "9645102620124817": 142, "964595377445221": 142, "9646709561347961": 142, "9647477269172668": 142, "9648198485374451": 142, "9651643633842468": 142, "9650259613990784": 142, "965092122554779": 142, "9650018811225891": 142, "9650833010673523": 142, "9651376605033875": 142, "9651884436607361": 142, "9653776288032532": 142, "9654247164726257": 142, "9654667973518372": 142, "9655026793479919": 142, "9655352234840393": 142, "9655643105506897": 142, "9657124876976013": 142, "96573406457901": 142, "9657488465309143": 142, "9657608866691589": 142, "9657651782035828": 142, "9657647013664246": 142, "9657594561576843": 142, "9657503962516785": 142, "9657317996025085": 142, "9657109379768372": 142, "9656834006309509": 142, "9655595421791077": 142, "9657054543495178": 142, "9656582474708557": 142, "9656041264533997": 142, "9654194712638855": 142, "9653474688529968": 142, "9652717709541321": 142, "9651861786842346": 142, "9650929570198059": 142, "9649917483329773": 142, "9643121361732483": 142, "9641929268836975": 142, "9640639424324036": 142, "9639292359352112": 142, "9637822508811951": 142, "963625967502594": 142, "9634599089622498": 142, "9632837176322937": 142, "9630975127220154": 142, "9629002213478088": 142, "011368637904524803": 142, "004590954631567001": 142, "008813663385808468": 142, "006716023664921522": 142, "002291304524987936": 142, "005217813886702061": 142, "013515611179172993": 142, "001557511044666171": 142, "0026022931560873985": 142, "11430490761995316": 142, "08447519689798355": 142, "17340539395809174": 142, "0168455820530653": 142, "016618352383375168": 142, "000993206980638206": 142, "0037392950616776943": 142, "005612211301922798": 142, "003081228584051132": 142, "0028749124612659216": 142, "003096201689913869": 142, "01957864500582218": 142, "012409435585141182": 142, "005065390840172768": 142, "03108738362789154": 142, "003758653998374939": 142, "0008305090013891459": 142, "009591953828930855": 142, "006542382296174765": 142, "0015979050658643246": 142, "007932554930448532": 142, "0029310439713299274": 142, "009369640611112118": 142, "014146223664283752": 142, "00217101420275867": 142, "0016771360533311963": 142, "034790992736816406": 142, "003547478001564741": 142, "0059495288878679276": 142, "0043225642293691635": 142, "008784172125160694": 142, "009596483781933784": 142, "03128213807940483": 142, "005437023937702179": 142, "003008386353030801": 142, "010423582047224045": 142, "0013257291866466403": 142, "007285884115844965": 142, "01150521356612444": 142, "006565636023879051": 142, "016056492924690247": 142, "005251762922853231": 142, "006426022853702307": 142, "013660229742527008": 142, "03148937597870827": 142, "08615859597921371": 142, "023460043594241142": 142, "16048038005828857": 142, "007324971258640289": 142, "03235941007733345": 142, "19867540895938873": 142, "827951669692993": 142, "0038188928738236427": 142, "882198333740234": 142, "4349992275238037": 142, "3958051204681396": 142, "831031799316406": 142, "8625833988189697": 142, "8431594371795654": 142, "932903289794922": 142, "4894765615463257": 142, "233171463012695": 142, "87086296081543": 142, "86140513420105": 142, "629563808441162": 142, "92725944519043": 142, "4381293058395386": 142, "074403762817383": 142, "652215957641602": 142, "002964976942166686": 142, "89267921447754": 142, "241705894470215": 142, "392411708831787": 142, "82501983642578": 142, "667531490325928": 142, "8534834384918213": 142, "965688705444336": 142, "184926986694336": 142, "271401882171631": 142, "0046329498291": 142, "670567035675049": 142, "615255355834961": 142, "95766830444336": 142, "249595642089844": 142, "08606481552124": 142, "82646369934082": 142, "48316478729248": 142, "0045120595023036": 142, "879215240478516": 142, "086587905883789": 142, "3803128004074097": 142, "82075309753418": 142, "474859237670898": 142, "843062162399292": 142, "935422897338867": 142, "286495208740234": 142, "234312534332275": 142, "01068878173828": 142, "480508804321289": 142, "624593257904053": 142, "92630386352539": 142, "0945892333984375": 142, "816349029541016": 142, "763044357299805": 142, "227741241455078": 142, "46462631225586": 142, "8160247802734375": 142, "107919692993164": 142, "4324198365211487": 142, "0733797550201416": 142, "0606765747070312": 142, "0516669750213623": 142, "042328119277954": 142, "0330784320831299": 142, "024094581604004": 142, "0151383876800537": 142, "0064797401428223": 142, "9975937008857727": 142, "9890449643135071": 142, "9809965491294861": 142, "9730530381202698": 142, "9661871790885925": 142, "9587172865867615": 142, "9515889286994934": 142, "9446219801902771": 142, "9378262162208557": 142, "9312183260917664": 142, "9252120852470398": 142, "9194632172584534": 142, "9137349724769592": 142, "9080926775932312": 142, "9026007056236267": 142, "8973128199577332": 142, "892240583896637": 142, "8870852589607239": 142, "8821821808815002": 142, "8774003386497498": 142, "8727555871009827": 142, "868231475353241": 142, "8638380169868469": 142, "8594889044761658": 142, "8552995324134827": 142, "8512113690376282": 142, "8473412394523621": 142, "8431429266929626": 142, "8393535017967224": 142, "8356255888938904": 142, "8319781422615051": 142, "828408420085907": 142, "8249124884605408": 142, "8214853405952454": 142, "8181772828102112": 142, "8148990273475647": 142, "8116633296012878": 142, "8085408806800842": 142, "8054144978523254": 142, "8023284077644348": 142, "7993549704551697": 142, "7965198159217834": 142, "7937702536582947": 142, "7911006808280945": 142, "7885052561759949": 142, "7859799265861511": 142, "7835204005241394": 142, "7811221480369568": 142, "7787840962409973": 142, "7764990925788879": 142, "7742655873298645": 142, "7720807194709778": 142, "7699407935142517": 142, "7678001523017883": 142, "7657467722892761": 142, "7637298703193665": 142, "7617492079734802": 142, "75980144739151": 142, "757901132106781": 142, "7560115456581116": 142, "7541504502296448": 142, "7523141503334045": 142, "7505432963371277": 142, "748753011226654": 142, "7469841837882996": 142, "7452355027198792": 142, "7435055375099182": 142, "741792619228363": 142, "7400969862937927": 142, "7384173274040222": 142, "736752450466156": 142, "7351003289222717": 142, "7334629893302917": 142, "7318370938301086": 142, "7302239537239075": 142, "7285594344139099": 142, "7269683480262756": 142, "7253915667533875": 142, "7238240838050842": 142, "7222676873207092": 142, "7207216620445251": 142, "7191870808601379": 142, "717661440372467": 142, "716145932674408": 142, "7146391272544861": 142, "7131417393684387": 142, "7116523385047913": 142, "7102202773094177": 142, "7087461352348328": 142, "707278311252594": 142, "7058162093162537": 142, "7043595910072327": 142, "7029085755348206": 142, "70146244764328": 142, "6998192667961121": 142, "6983378529548645": 142, "6968875527381897": 142, "6954358220100403": 142, "6939824223518372": 142, "692529022693634": 142, "6910756230354309": 142, "6896199584007263": 142, "6881616711616516": 142, "6867577433586121": 142, "6852954030036926": 142, "6838300824165344": 142, "6823439002037048": 142, "6808719038963318": 142, "6793966889381409": 142, "6779194474220276": 142, "6764393448829651": 142, "6748246550559998": 142, "673341691493988": 142, "6718569397926331": 142, "6703711152076721": 142, "6687890887260437": 142, "6672975420951843": 142, "6658053994178772": 142, "6641891598701477": 142, "6626933217048645": 142, "660688579082489": 142, "6591903567314148": 142, "6577091813087463": 142, "6562049984931946": 142, "6547003388404846": 142, "6531925797462463": 142, "6516808867454529": 142, "6501675248146057": 142, "648649275302887": 142, "647129237651825": 142, "645603597164154": 142, "6440909504890442": 142, "6425564885139465": 142, "6410178542137146": 142, "6394733786582947": 142, "6379237771034241": 142, "6363690495491028": 142, "6348089575767517": 142, "6333516240119934": 142, "6317762732505798": 142, "6301961541175842": 142, "628607451915741": 142, "6270124316215515": 142, "6252909302711487": 142, "6236690878868103": 142, "6220389008522034": 142, "6204008460044861": 142, "6187557578086853": 142, "6171018481254578": 142, "6153572201728821": 142, "6137811541557312": 142, "6121082901954651": 142, "6104289889335632": 142, "6087430119514465": 142, "6070511937141418": 142, "6053538918495178": 142, "6036530137062073": 142, "6019473671913147": 142, "600238025188446": 142, "6009646058082581": 142, "5992478728294373": 142, "5975260138511658": 142, "5958027243614197": 142, "5940766930580139": 142, "5922057032585144": 142, "5904791951179504": 142, "5887560248374939": 142, "5870401263237": 142, "5853303074836731": 142, "5837007164955139": 142, "5820053219795227": 142, "5803171992301941": 142, "5786356329917908": 142, "5769603848457336": 142, "5752905011177063": 142, "5736299157142639": 142, "5719745755195618": 142, "570328414440155": 142, "5687598586082458": 142, "5671283602714539": 142, "5655058026313782": 142, "5638903975486755": 142, "5622832179069519": 142, "5606834292411804": 142, "559093177318573": 142, "557512104511261": 142, "5559398531913757": 142, "5543785691261292": 142, "5528268218040466": 142, "5512332320213318": 142, "5496357083320618": 142, "5481205582618713": 142, "5465595126152039": 142, "5450671315193176": 142, "5435860753059387": 142, "5425825715065002": 142, "5411269068717957": 142, "5396825671195984": 142, "5382488369941711": 142, "5368275046348572": 142, "5354166626930237": 142, "5340166687965393": 142, "5326278805732727": 142, "5312483906745911": 142, "5300083756446838": 142, "528647243976593": 142, "5272954106330872": 142, "5259523987770081": 142, "5243461728096008": 142, "523019015789032": 142, "5216982960700989": 142, "5203859210014343": 142, "5190797448158264": 142, "5177164673805237": 142, "5164243578910828": 142, "5151378512382507": 142, "5138556361198425": 142, "5125778317451477": 142, "5113046765327454": 142, "5100354552268982": 142, "5087692141532898": 142, "5075075030326843": 142, "5062487721443176": 142, "5049929022789001": 142, "503739058971405": 142, "5024893879890442": 142, "5012415051460266": 142, "4999966025352478": 142, "4987552762031555": 142, "49751657247543335": 142, "49628037214279175": 142, "4950471520423889": 142, "49381881952285767": 142, "49259310960769653": 142, "4913713335990906": 142, "49015337228775024": 142, "48893922567367554": 142, "48778897523880005": 142, "4865848422050476": 142, "48538607358932495": 142, "484191358089447": 142, "4830014109611511": 142, "4818161129951477": 142, "4806368947029114": 142, "4794636368751526": 142, "47829514741897583": 142, "47713547945022583": 142, "4759816527366638": 142, "47483378648757935": 142, "47369319200515747": 142, "47255903482437134": 142, "4714340567588806": 142, "47013968229293823": 142, "4687809348106384": 142, "4676751494407654": 142, "46650487184524536": 142, "46541327238082886": 142, "46433085203170776": 142, "4632568955421448": 142, "462094247341156": 142, "46104055643081665": 142, "45999449491500854": 142, "4589572548866272": 142, "45792776346206665": 142, "4569074511528015": 142, "45589667558670044": 142, "4548947215080261": 142, "4539012312889099": 142, "45291668176651": 142, "4519427418708801": 142, "45097655057907104": 142, "4500197768211365": 142, "4490719437599182": 142, "4481334090232849": 142, "4472045302391052": 142, "4462844729423523": 142, "445374071598053": 142, "4444736838340759": 142, "4435827136039734": 142, "44218093156814575": 142, "4413112998008728": 142, "4404507279396057": 142, "43959933519363403": 142, "4387579560279846": 142, "4379252791404724": 142, "4371029734611511": 142, "43629008531570435": 142, "435486376285553": 142, "43469327688217163": 142, "433910071849823": 142, "43313664197921753": 142, "0042904759757220745": 142, "003814882365986705": 142, "037149619311094284": 142, "0002465824654791504": 142, "007822404615581036": 142, "06510037928819656": 142, "009106543846428394": 142, "012478455901145935": 142, "011914913542568684": 142, "05640426650643349": 142, "0034764655865728855": 142, "05179951712489128": 142, "008454002439975739": 142, "003779101185500622": 142, "021917248144745827": 142, "0009023355087265372": 142, "007473661098629236": 142, "06923597306013107": 142, "00797953363507986": 142, "0022099134512245655": 142, "03978070989251137": 142, "008903838694095612": 142, "00523447385057807": 142, "05699974671006203": 142, "0005090082995593548": 142, "01906523108482361": 142, "010394600220024586": 142, "017664466053247452": 142, "012797634117305279": 142, "0380951389670372": 142, "0047053140588104725": 142, "020938219502568245": 142, "013698706403374672": 142, "007997368462383747": 142, "013805742375552654": 142, "07258954644203186": 142, "006562706083059311": 142, "009402316994965076": 142, "04292764142155647": 142, "006309885531663895": 142, "020107900723814964": 142, "06583738327026367": 142, "023982863873243332": 142, "02392718568444252": 142, "009463779628276825": 142, "16205091774463654": 142, "015808062627911568": 142, "07875984907150269": 142, "011230909265577793": 142, "010164964012801647": 142, "012799311429262161": 142, "008771099150180817": 142, "017706802114844322": 142, "08979179710149765": 142, "05337971821427345": 142, "04689578339457512": 142, "04097624123096466": 142, "1175030842423439": 142, "01055071409791708": 142, "07423575967550278": 142, "8339438438415527": 142, "02165035717189312": 142, "966272354125977": 142, "358865737915039": 142, "4179834127426147": 142, "813398361206055": 142, "823183059692383": 142, "7875375747680664": 142, "9248046875": 142, "380580186843872": 142, "211806774139404": 142, "8333740234375": 142, "8146727085113525": 142, "625960826873779": 142, "919893264770508": 142, "3287832736968994": 142, "006961822509766": 142, "800302505493164": 142, "607962608337402": 142, "014468212611973286": 142, "951030731201172": 142, "2449541091918945": 142, "4600733518600464": 142, "011184692382812": 142, "609748363494873": 142, "78572940826416": 142, "944564819335938": 142, "203269004821777": 142, "162726879119873": 142, "874126434326172": 142, "600225925445557": 142, "637959957122803": 142, "943689346313477": 142, "274872303009033": 142, "8395795822143555": 142, "97442626953125": 142, "445413589477539": 142, "004414409399032593": 142, "89385223388672": 142, "056634426116943": 142, "3966697454452515": 142, "846216201782227": 142, "442694664001465": 142, "8194260597229004": 142, "886472702026367": 142, "055739879608154": 142, "209620475769043": 142, "841684341430664": 142, "436111450195312": 142, "622758388519287": 142, "88039779663086": 142, "052472114562988": 142, "031454563140869": 142, "83814811706543": 142, "92889142036438": 142, "265409469604492": 142, "457040786743164": 142, "531885147094727": 142, "143484115600586": 142, "224950790405273": 142, "5669334530830383": 142, "5254905223846436": 142, "5115487575531006": 142, "5013675689697266": 142, "4913749694824219": 142, "481623649597168": 142, "4720649719238281": 142, "4546499252319336": 142, "44561767578125": 142, "4372808933258057": 142, "4284701347351074": 142, "419856309890747": 142, "4119644165039062": 142, "4034135341644287": 142, "3951730728149414": 142, "386890172958374": 142, "3786375522613525": 142, "37060546875": 142, "3621063232421875": 142, "354123830795288": 142, "346144199371338": 142, "338252067565918": 142, "330366849899292": 142, "322587251663208": 142, "314875602722168": 142, "3072121143341064": 142, "2995481491088867": 142, "2919816970825195": 142, "284456491470337": 142, "276932716369629": 142, "2694973945617676": 142, "2621068954467773": 142, "2547581195831299": 142, "247457504272461": 142, "2402539253234863": 142, "233051061630249": 142, "2258899211883545": 142, "2187740802764893": 142, "2117009162902832": 142, "2047960758209229": 142, "1980857849121094": 142, "1911542415618896": 142, "184260606765747": 142, "1774044036865234": 142, "1705036163330078": 142, "1637353897094727": 142, "1570253372192383": 142, "1503918170928955": 142, "1438400745391846": 142, "1373724937438965": 142, "1308584213256836": 142, "1246209144592285": 142, "118349313735962": 142, "1121830940246582": 142, "106088399887085": 142, "0999507904052734": 142, "0940001010894775": 142, "0823562145233154": 142, "0765345096588135": 142, "0708434581756592": 142, "0652148723602295": 142, "0596485137939453": 142, "0541419982910156": 142, "0487236976623535": 142, "0433518886566162": 142, "038055181503296": 142, "0328319072723389": 142, "0276801586151123": 142, "0226035118103027": 142, "0175933837890625": 142, "012627363204956": 142, "0077362060546875": 142, "002896785736084": 142, "9981064200401306": 142, "9933620095252991": 142, "9886621832847595": 142, "9839349389076233": 142, "9793309569358826": 142, "9747036099433899": 142, "9701407551765442": 142, "9656774401664734": 142, "9612640738487244": 142, "9569042325019836": 142, "9525968432426453": 142, "9483411908149719": 142, "9441397786140442": 142, "9399922490119934": 142, "9358964562416077": 142, "9318544268608093": 142, "9278637766838074": 142, "9239843487739563": 142, "9201057553291321": 142, "9162781834602356": 142, "9125019907951355": 142, "9087761044502258": 142, "9051010012626648": 142, "9014762043952942": 142, "8979546427726746": 142, "8944260478019714": 142, "8909451365470886": 142, "8875120282173157": 142, "884126603603363": 142, "8807876706123352": 142, "8774953484535217": 142, "8742451071739197": 142, "871038019657135": 142, "8678709864616394": 142, "8647472262382507": 142, "8616610169410706": 142, "8586146235466003": 142, "8556057810783386": 142, "852634847164154": 142, "8497017025947571": 142, "8467628359794617": 142, "8439027667045593": 142, "8410781025886536": 142, "8382864594459534": 142, "8355297446250916": 142, "8328048586845398": 142, "8301138281822205": 142, "8274545073509216": 142, "8248255848884583": 142, "8222293257713318": 142, "8196633458137512": 142, "8171271681785583": 142, "8146229386329651": 142, "8121588826179504": 142, "8097136616706848": 142, "8072969317436218": 142, "8049102425575256": 142, "8025508522987366": 142, "8002187609672546": 142, "7979146838188171": 142, "7956377863883972": 142, "7933889031410217": 142, "791166365146637": 142, "7889662384986877": 142, "7867934107780457": 142, "7846478819847107": 142, "7825242877006531": 142, "7807382941246033": 142, "7786672711372375": 142, "7766199707984924": 142, "7745961546897888": 142, "7725972533226013": 142, "7706205248832703": 142, "7686657309532166": 142, "7667345404624939": 142, "7648244500160217": 142, "7629354596138": 142, "7610707879066467": 142, "7592256665229797": 142, "7573356032371521": 142, "7555349469184875": 142, "7537552714347839": 142, "7519926428794861": 142, "7502152323722839": 142, "7484936118125916": 142, "7467861771583557": 142, "7451005578041077": 142, "7434284090995789": 142, "7417740225791931": 142, "7401667237281799": 142, "7385461926460266": 142, "7369415163993835": 142, "7353524565696716": 142, "7337765097618103": 142, "7322147488594055": 142, "7306655049324036": 142, "7290967106819153": 142, "7275754809379578": 142, "7260670065879822": 142, "7245696187019348": 142, "7230837941169739": 142, "7216103672981262": 142, "7201469540596008": 142, "7186948657035828": 142, "7172525525093079": 142, "7158200144767761": 142, "7143970131874084": 142, "7129829525947571": 142, "7115785479545593": 142, "7101824879646301": 142, "7087964415550232": 142, "7075687050819397": 142, "7061964869499207": 142, "7048324942588806": 142, "7034761309623718": 142, "7021265625953674": 142, "7007842659950256": 142, "6994475722312927": 142, "6981198191642761": 142, "6967971920967102": 142, "6954813599586487": 142, "6942880749702454": 142, "6929840445518494": 142, "6923113465309143": 142, "691017210483551": 142, "6897285580635071": 142, "6884482502937317": 142, "6871723532676697": 142, "6859022974967957": 142, "6846364140510559": 142, "6833747029304504": 142, "6821200251579285": 142, "6808686852455139": 142, "67962247133255": 142, "6783798336982727": 142, "677141010761261": 142, "6759079098701477": 142, "6746767163276672": 142, "6734510064125061": 142, "6722864508628845": 142, "6710585951805115": 142, "66983562707901": 142, "6686155200004578": 142, "6678013205528259": 142, "6665856242179871": 142, "6653704047203064": 142, "6642797589302063": 142, "6626704335212708": 142, "6614518761634827": 142, "6602316498756409": 142, "6590113043785095": 142, "6577879786491394": 142, "6565646529197693": 142, "6553378701210022": 142, "6541090607643127": 142, "6528757214546204": 142, "6515229344367981": 142, "6502842307090759": 142, "6490402817726135": 142, "6477925181388855": 142, "646539032459259": 142, "6452808976173401": 142, "6440187096595764": 142, "6427504420280457": 142, "6414769291877747": 142, "6401980519294739": 142, "6387254595756531": 142, "637435257434845": 142, "6351644396781921": 142, "6338695883750916": 142, "6325793862342834": 142, "6312975287437439": 142, "6300246119499207": 142, "6287594437599182": 142, "6276653409004211": 142, "6264581084251404": 142, "6252222657203674": 142, "6239932179450989": 142, "6227723956108093": 142, "6215595602989197": 142, "6203543543815613": 142, "6191567778587341": 142, "6179654002189636": 142, "6167803406715393": 142, "6156005263328552": 142, "6144288182258606": 142, "6132611632347107": 142, "6120988726615906": 142, "6109417080879211": 142, "6092932820320129": 142, "6081411242485046": 142, "6067841649055481": 142, "6056390404701233": 142, "6044945120811462": 142, "6033505797386169": 142, "6022093892097473": 142, "6010670065879822": 142, "5999236702919006": 142, "59878009557724": 142, "5976348519325256": 142, "5964886546134949": 142, "5953407883644104": 142, "5941913723945618": 142, "5930394530296326": 142, "5918858647346497": 142, "5907304883003235": 142, "5895702242851257": 142, "5884094834327698": 142, "5872450470924377": 142, "586077868938446": 142, "5847309231758118": 142, "5835594534873962": 142, "5823848843574524": 142, "5812081694602966": 142, "5800289511680603": 142, "5788472294807434": 142, "5776628851890564": 142, "5764767527580261": 142, "5752881169319153": 142, "5740981698036194": 142, "5729061961174011": 142, "5717141032218933": 142, "570519745349884": 142, "5693240761756897": 142, "5681293606758118": 142, "01989891193807125": 142, "011152821592986584": 142, "01370418444275856": 142, "03869105875492096": 142, "04014745354652405": 142, "08106211572885513": 142, "005176507402211428": 142, "011760757304728031": 142, "015447431243956089": 142, "006588908843696117": 142, "06440049118828e": 142, "05431043729186058": 142, "022120648995041847": 142, "0066268472000956535": 142, "02969864010810852": 142, "11575779318809509": 142, "02729962393641472": 142, "10138019174337387": 142, "0005494334036484361": 142, "013963618315756321": 142, "012105708941817284": 142, "02768896333873272": 142, "051490671932697296": 142, "06026848033070564": 142, "005852861795574427": 142, "00895505491644144": 142, "004421844147145748": 142, "0006096060387790203": 142, "014234173111617565": 142, "06494265794754028": 142, "046569887548685074": 142, "05552617087960243": 142, "04623377323150635": 142, "0161710437387228": 142, "12424512207508087": 142, "06373333185911179": 142, "010038173757493496": 142, "010823024436831474": 142, "012752280570566654": 142, "00319914729334414": 142, "010017543099820614": 142, "053291354328393936": 142, "009055166505277157": 142, "01107625663280487": 142, "010993299074470997": 142, "011631565168499947": 142, "0018124127527698874": 142, "05112704262137413": 142, "018927400931715965": 142, "0035156672820448875": 142, "013368597254157066": 142, "002338152378797531": 142, "016913512721657753": 142, "05222400650382042": 142, "08160202950239182": 142, "12256527692079544": 142, "11688116937875748": 142, "1439478099346161": 142, "21391278505325317": 142, "3628287613391876": 142, "8190886974334717": 142, "004490166902542114": 142, "880407333374023": 142, "4228147268295288": 142, "3868401050567627": 142, "811649322509766": 142, "8252813816070557": 142, "8153128623962402": 142, "883037567138672": 142, "447850227355957": 142, "2102437019348145": 142, "815885543823242": 142, "8146278858184814": 142, "641672611236572": 142, "88581085205078": 142, "4094464778900146": 142, "049249172210693": 142, "811071395874023": 142, "637053489685059": 142, "009067431092262268": 142, "88524627685547": 142, "222369194030762": 142, "401182770729065": 142, "8093204498291": 142, "669328212738037": 142, "833587646484375": 142, "930015563964844": 142, "216776371002197": 142, "2333083152771": 142, "808210372924805": 142, "6533684730529785": 142, "620396614074707": 142, "921794891357422": 142, "218640327453613": 142, "056604385375977": 142, "8126277923584": 142, "464157104492188": 142, "019739871844649315": 142, "8837833404541": 142, "059391021728516": 142, "3368628025054932": 142, "81329917907715": 142, "452218055725098": 142, "8188982009887695": 142, "916545867919922": 142, "093668460845947": 142, "129993438720703": 142, "021804809570312": 142, "431594848632812": 142, "597641468048096": 142, "942745208740234": 142, "0412068367004395": 142, "038962364196777": 142, "817527770996094": 142, "994259834289551": 142, "025719165802002": 142, "994543075561523": 142, "3151655197143555": 142, "679867744445801": 142, "25825309753418": 142, "8788979649543762": 142, "2203187942504883": 142, "2101261615753174": 142, "201746940612793": 142, "1936583518981934": 142, "1857709884643555": 142, "1778945922851562": 142, "1700716018676758": 142, "1622989177703857": 142, "15462327003479": 142, "147167444229126": 142, "1395485401153564": 142, "132117748260498": 142, "124715805053711": 142, "116825819015503": 142, "1094460487365723": 142, "102299451828003": 142, "0953571796417236": 142, "0880725383758545": 142, "080963134765625": 142, "0736238956451416": 142, "0665502548217773": 142, "059356689453125": 142, "0455052852630615": 142, "0383546352386475": 142, "0315394401550293": 142, "0247752666473389": 142, "0180671215057373": 142, "0108141899108887": 142, "0040931701660156": 142, "9975182414054871": 142, "9912241101264954": 142, "9851194024085999": 142, "9792004227638245": 142, "9735491871833801": 142, "9680879712104797": 142, "9627826809883118": 142, "9576455950737": 142, "9526847004890442": 142, "9477306008338928": 142, "9432043433189392": 142, "9387266039848328": 142, "9343501925468445": 142, "9301123023033142": 142, "9260664582252502": 142, "9222434163093567": 142, "9185366034507751": 142, "9150001406669617": 142, "9121755957603455": 142, "9088999629020691": 142, "9058017134666443": 142, "9029133915901184": 142, "9001898169517517": 142, "8975501656532288": 142, "8949771523475647": 142, "8926919102668762": 142, "8906363844871521": 142, "888769805431366": 142, "887141764163971": 142, "8857558369636536": 142, "8846058249473572": 142, "8837122321128845": 142, "8829396367073059": 142, "8822705149650574": 142, "8817426562309265": 142, "8811215758323669": 142, "8805176615715027": 142, "8798251748085022": 142, "8791781067848206": 142, "8783857226371765": 142, "8777037262916565": 142, "8770447373390198": 142, "8760958313941956": 142, "8756423592567444": 142, "8753247857093811": 142, "8752346634864807": 142, "8753277659416199": 142, "8756070733070374": 142, "8760578036308289": 142, "8767367005348206": 142, "8774216771125793": 142, "8782903552055359": 142, "8792607188224792": 142, "8803163170814514": 142, "8814426064491272": 142, "8826282620429993": 142, "8838618397712708": 142, "885138213634491": 142, "8864458203315735": 142, "8876469731330872": 142, "888994038105011": 142, "8903544545173645": 142, "8917225003242493": 142, "8930904269218445": 142, "8916849493980408": 142, "8930453658103943": 142, "8943955302238464": 142, "8964871764183044": 142, "8978064656257629": 142, "8991051316261292": 142, "900378406047821": 142, "9016315340995789": 142, "9028597474098206": 142, "9040660262107849": 142, "9050397276878357": 142, "9060655236244202": 142, "9071909785270691": 142, "9084164500236511": 142, "9094868302345276": 142, "9105305075645447": 142, "9115453362464905": 142, "9125930666923523": 142, "9135540127754211": 142, "9144900441169739": 142, "9153994917869568": 142, "9162847399711609": 142, "917146623134613": 142, "9179840683937073": 142, "9187982678413391": 142, "919792115688324": 142, "9204544425010681": 142, "9212118983268738": 142, "9219489693641663": 142, "922214686870575": 142, "9229127764701843": 142, "9235939383506775": 142, "9242569804191589": 142, "9249029755592346": 142, "9253806471824646": 142, "9259944558143616": 142, "9265921711921692": 142, "9271753430366516": 142, "9277442097663879": 142, "9282997250556946": 142, "9288396239280701": 142, "9293685555458069": 142, "9298821091651917": 142, "9303858876228333": 142, "930874764919281": 142, "9313529133796692": 142, "9318068623542786": 142, "9322603344917297": 142, "9327014088630676": 142, "9331337809562683": 142, "9335528016090393": 142, "9339612126350403": 142, "934359610080719": 142, "9347478747367859": 142, "9351269602775574": 142, "9354949593544006": 142, "9358565211296082": 142, "9362087845802307": 142, "9364991784095764": 142, "9368335604667664": 142, "9371458888053894": 142, "937465250492096": 142, "9398232102394104": 142, "9401254057884216": 142, "9404128193855286": 142, "9406943917274475": 142, "9409641623497009": 142, "9411637187004089": 142, "9414156079292297": 142, "9416558146476746": 142, "9418897032737732": 142, "9421148896217346": 142, "9423280358314514": 142, "9425352215766907": 142, "9427316784858704": 142, "9403135180473328": 142, "9404935240745544": 142, "940666139125824": 142, "9408329129219055": 142, "9409915804862976": 142, "9411409497261047": 142, "9412801861763": 142, "9414772391319275": 142, "9415975213050842": 142, "9415459036827087": 142, "9416505694389343": 142, "9417012333869934": 142, "9417799115180969": 142, "9418476223945618": 142, "9419036507606506": 142, "9419466853141785": 142, "9417739510536194": 142, "941795289516449": 142, "9419835209846497": 142, "941976010799408": 142, "9419590830802917": 142, "9397333264350891": 142, "9396949410438538": 142, "940162718296051": 142, "9400960803031921": 142, "9400151371955872": 142, "9399178624153137": 142, "9399423003196716": 142, "9398123621940613": 142, "9396664500236511": 142, "939418613910675": 142, "9392417073249817": 142, "9390502572059631": 142, "9388434290885925": 142, "9386215806007385": 142, "9383826851844788": 142, "938132107257843": 142, "9378638863563538": 142, "9364054799079895": 142, "9361122250556946": 142, "9360542893409729": 142, "9357334971427917": 142, "9353987574577332": 142, "9350478053092957": 142, "934681236743927": 142, "9343007206916809": 142, "9351012110710144": 142, "9342512488365173": 142, "9338042140007019": 142, "9333428740501404": 142, "932867705821991": 142, "9323766827583313": 142, "9318680167198181": 142, "9313502907752991": 142, "9308157563209534": 142, "9304199814796448": 142, "9298613667488098": 142, "9292916655540466": 142, "9287081360816956": 142, "9280984997749329": 142, "9279323220252991": 142, "9273003935813904": 142, "9266611933708191": 142, "9264385104179382": 142, "9261294007301331": 142, "9254510998725891": 142, "9247656464576721": 142, "9240718483924866": 142, "9235530495643616": 142, "9228410124778748": 142, "9221801161766052": 142, "9214563965797424": 142, "9207260012626648": 142, "9199885725975037": 142, "9192492365837097": 142, "9185013175010681": 142, "9177513718605042": 142, "9169968962669373": 142, "9162130951881409": 142, "9154507517814636": 142, "9147867560386658": 142, "9140185713768005": 142, "913246214389801": 142, "9124841094017029": 142, "9117103219032288": 142, "9107667803764343": 142, "9099928736686707": 142, "9092118144035339": 142, "9084300398826599": 142, "9076476693153381": 142, "906862199306488": 142, "9060800671577454": 142, "9052926898002625": 142, "9045091271400452": 142, "9037250876426697": 142, "9029420018196106": 142, "9021599888801575": 142, "9013805985450745": 142, "9006006121635437": 142, "8998212218284607": 142, "8991472125053406": 142, "8983736634254456": 142, "8975982069969177": 142, "8968275189399719": 142, "8960618376731873": 142, "895455539226532": 142, "8946935534477234": 142, "8939359784126282": 142, "8931822180747986": 142, "8925737738609314": 142, "8917960524559021": 142, "8910611271858215": 142, "8903283476829529": 142, "8895354866981506": 142, "8888171315193176": 142, "8881054520606995": 142, "8874019980430603": 142, "8867070078849792": 142, "8860192894935608": 142, "8853405117988586": 142, "8845096230506897": 142, "8838477730751038": 142, "8831949830055237": 142, "8825533986091614": 142, "8819190859794617": 142, "8812937140464783": 142, "8806800246238708": 142, "8800758719444275": 142, "87948077917099": 142, "003931115847080946": 142, "009198496118187904": 142, "0621698759496212": 142, "003345515811815858": 142, "003641522489488125": 142, "10864893347024918": 142, "0029455649200826883": 142, "014373990707099438": 142, "04920075461268425": 142, "017139924690127373": 142, "882455924525857e": 142, "0866708755493164": 142, "003127140924334526": 142, "0020593025255948305": 142, "0436285100877285": 142, "014070631004869938": 142, "011646091938018799": 142, "11532837152481079": 142, "0011281101033091545": 142, "005813433788716793": 142, "04672777280211449": 142, "007379470393061638": 142, "017831595614552498": 142, "10655421763658524": 142, "006564640440046787": 142, "010858898982405663": 142, "04245200380682945": 142, "005075638182461262": 142, "018503841012716293": 142, "0843629315495491": 142, "004170987289398909": 142, "0023016934283077717": 142, "035876862704753876": 142, "011570587754249573": 142, "020119590684771538": 142, "11348990350961685": 142, "0112077035009861": 142, "0002920555416494608": 142, "05037769675254822": 142, "0015909315552562475": 142, "038973938673734665": 142, "08284769207239151": 142, "011534415185451508": 142, "008757715113461018": 142, "044737495481967926": 142, "041753508150577545": 142, "16621701419353485": 142, "008851459249854088": 142, "01279671024531126": 142, "004393128678202629": 142, "03172949329018593": 142, "012089102528989315": 142, "015107637271285057": 142, "07926364988088608": 142, "00067906454205513": 142, "08645141869783401": 142, "06413798779249191": 142, "024661608040332794": 142, "02491810917854309": 142, "115485779941082": 142, "8245420455932617": 142, "02402261458337307": 142, "952022552490234": 142, "308730959892273": 142, "4303412437438965": 142, "006824493408203": 142, "820774793624878": 142, "8099050521850586": 142, "95807456970215": 142, "393014669418335": 142, "305019855499268": 142, "82930564880371": 142, "823729991912842": 142, "655123233795166": 142, "901309967041016": 142, "414565086364746": 142, "051177978515625": 142, "857513427734375": 142, "633094787597656": 142, "034084755927324295": 142, "95423126220703": 142, "330618858337402": 142, "3856090307235718": 142, "984477996826172": 142, "63809061050415": 142, "8211324214935303": 142, "92179298400879": 142, "261325359344482": 142, "278201103210449": 142, "8194522857666": 142, "655550003051758": 142, "664709091186523": 142, "890710830688477": 142, "238691329956055": 142, "0372185707092285": 142, "85175895690918": 142, "497279167175293": 142, "05041327327489853": 142, "976835250854492": 142, "050758361816406": 142, "437381386756897": 142, "884824752807617": 142, "470648765563965": 142, "831508159637451": 142, "926483154296875": 142, "050995349884033": 142, "257838249206543": 142, "846193313598633": 142, "457287788391113": 142, "670785903930664": 142, "896982192993164": 142, "052210330963135": 142, "050671100616455": 142, "85700798034668": 142, "771563768386841": 142, "7414133548736572": 142, "49683380126953": 142, "8671324253082275": 142, "72867488861084": 142, "536134719848633": 142, "4988202452659607": 142, "7227768898010254": 142, "710423231124878": 142, "698789358139038": 142, "68751859664917": 142, "6770076751708984": 142, "6670758724212646": 142, "6575117111206055": 142, "6485605239868164": 142, "640279769897461": 142, "632150650024414": 142, "6246588230133057": 142, "6168038845062256": 142, "6094322204589844": 142, "602344036102295": 142, "594832181930542": 142, "5880019664764404": 142, "581178903579712": 142, "574563980102539": 142, "568103551864624": 142, "5617477893829346": 142, "555481195449829": 142, "54945707321167": 142, "5433554649353027": 142, "537318468093872": 142, "5313451290130615": 142, "5254933834075928": 142, "5196313858032227": 142, "5139176845550537": 142, "5081489086151123": 142, "5024311542510986": 142, "496746301651001": 142, "4911742210388184": 142, "4855656623840332": 142, "4799928665161133": 142, "4746642112731934": 142, "4692721366882324": 142, "4637973308563232": 142, "4583756923675537": 142, "4529621601104736": 142, "4474127292633057": 142, "441884994506836": 142, "4365615844726562": 142, "431269645690918": 142, "4258909225463867": 142, "4206533432006836": 142, "4154455661773682": 142, "4103319644927979": 142, "4041767120361328": 142, "3990662097930908": 142, "393986701965332": 142, "3890349864959717": 142, "3840062618255615": 142, "37900710105896": 142, "3740389347076416": 142, "369093894958496": 142, "3641786575317383": 142, "3592870235443115": 142, "3543806076049805": 142, "3495373725891113": 142, "344714641571045": 142, "3399105072021484": 142, "3351235389709473": 142, "3303511142730713": 142, "3255925178527832": 142, "3208527565002441": 142, "3160505294799805": 142, "3113489151000977": 142, "3066730499267578": 142, "3020234107971191": 142, "2974035739898682": 142, "2928102016448975": 142, "2882425785064697": 142, "2836947441101074": 142, "2791602611541748": 142, "274634599685669": 142, "270115852355957": 142, "2655980587005615": 142, "2610816955566406": 142, "2565670013427734": 142, "2519686222076416": 142, "247459888458252": 142, "2428677082061768": 142, "2383191585540771": 142, "2338283061981201": 142, "2293479442596436": 142, "224877119064331": 142, "2204203605651855": 142, "2159764766693115": 142, "2115452289581299": 142, "2071290016174316": 142, "2027273178100586": 142, "1983411312103271": 142, "1939713954925537": 142, "1896178722381592": 142, "1852800846099854": 142, "1809601783752441": 142, "1766834259033203": 142, "172393560409546": 142, "1681175231933594": 142, "1638593673706055": 142, "159616231918335": 142, "1553869247436523": 142, "1511659622192383": 142, "1469507217407227": 142, "1427440643310547": 142, "1385459899902344": 142, "134509563446045": 142, "130340576171875": 142, "1261837482452393": 142, "1220366954803467": 142, "1179003715515137": 142, "113774299621582": 142, "1096606254577637": 142, "1055383682250977": 142, "101447582244873": 142, "0973660945892334": 142, "0932960510253906": 142, "0892386436462402": 142, "0851905345916748": 142, "0811550617218018": 142, "0771291255950928": 142, "0731148719787598": 142, "0691111087799072": 142, "0651159286499023": 142, "0611310005187988": 142, "0571544170379639": 142, "0531868934631348": 142, "049226999282837": 142, "0452744960784912": 142, "041327714920044": 142, "0373892784118652": 142, "0334548950195312": 142, "0295283794403076": 142, "0256047248840332": 142, "0216858386993408": 142, "0138614177703857": 142, "0103135108947754": 142, "0066065788269043": 142, "0027039051055908": 142, "998492419719696": 142, "9945071339607239": 142, "9906182885169983": 142, "9867330193519592": 142, "9828513264656067": 142, "9789714217185974": 142, "9750967621803284": 142, "9712244868278503": 142, "967354953289032": 142, "9634889960289001": 142, "9596266150474548": 142, "9557684063911438": 142, "951913058757782": 142, "9480627179145813": 142, "9442152380943298": 142, "9402427077293396": 142, "9364034533500671": 142, "9325693249702454": 142, "9289945960044861": 142, "9251708388328552": 142, "9213514924049377": 142, "917536199092865": 142, "9137265086174011": 142, "9099188446998596": 142, "9061194062232971": 142, "9023264050483704": 142, "8985390067100525": 142, "894734799861908": 142, "890958845615387": 142, "8871898055076599": 142, "8834276795387268": 142, "8796712756156921": 142, "8759223818778992": 142, "8721804022789001": 142, "8684472441673279": 142, "8647206425666809": 142, "8610020279884338": 142, "8572126030921936": 142, "8535158038139343": 142, "8498207926750183": 142, "8461489081382751": 142, "8426595330238342": 142, "8389880061149597": 142, "8352881073951721": 142, "8316336274147034": 142, "8279852271080017": 142, "8243462443351746": 142, "8207142949104309": 142, "8170908093452454": 142, "8134757876396179": 142, "8098682761192322": 142, "8061484694480896": 142, "8025564551353455": 142, "7989729046821594": 142, "7953994870185852": 142, "7918329834938049": 142, "7882760167121887": 142, "7847281098365784": 142, "7811889052391052": 142, "7776568531990051": 142, "7741345763206482": 142, "7706212401390076": 142, "7671173214912415": 142, "7636216282844543": 142, "7601498961448669": 142, "756673276424408": 142, "7532070279121399": 142, "7497509121894836": 142, "746303379535675": 142, "7428659796714783": 142, "7394378781318665": 142, "7360201478004456": 142, "7326129078865051": 142, "7292152047157288": 142, "7258285880088806": 142, "7224524617195129": 142, "7190876603126526": 142, "7157334685325623": 142, "7123913168907166": 142, "7057411074638367": 142, "702482283115387": 142, "699187695980072": 142, "6959049105644226": 142, "6926332116127014": 142, "6893752217292786": 142, "6860513091087341": 142, "682817280292511": 142, "6795958876609802": 142, "676387369632721": 142, "673234760761261": 142, "670051634311676": 142, "6668819785118103": 142, "6637254357337952": 142, "6605814099311829": 142, "6572018265724182": 142, "6540443301200867": 142, "650942862033844": 142, "6478539109230042": 142, "6446577906608582": 142, "6415948271751404": 142, "6386592984199524": 142, "6356260180473328": 142, "6326081156730652": 142, "629606306552887": 142, "6266197562217712": 142, "623651921749115": 142, "6207016110420227": 142, "6177929043769836": 142, "6148805022239685": 142, "6119865775108337": 142, "6091150641441345": 142, "606264054775238": 142, "6034355759620667": 142, "6006312966346741": 142, "5978497862815857": 142, "5950910449028015": 142, "5923588871955872": 142, "5896523594856262": 142, "5869713425636292": 142, "5834929347038269": 142, "580837070941925": 142, "5782085061073303": 142, "5756096243858337": 142, "573038637638092": 142, "5709009766578674": 142, "5683854222297668": 142, "565896213054657": 142, "5630272030830383": 142, "5605934262275696": 142, "558186948299408": 142, "5559609532356262": 142, "5536025166511536": 142, "5512706637382507": 142, "5489634871482849": 142, "5466817021369934": 142, "5444250702857971": 142, "5421925187110901": 142, "5399698615074158": 142, "53778475522995": 142, "5352066159248352": 142, "533069908618927": 142, "5309579968452454": 142, "528869092464447": 142, "5267953276634216": 142, "5247543454170227": 142, "5227370858192444": 142, "520743191242218": 142, "5187734961509705": 142, "5168283581733704": 142, "5149077773094177": 142, "5130131840705872": 142, "5111445784568787": 142, "5093010067939758": 142, "5074847340583801": 142, "5056951642036438": 142, "5039336085319519": 142, "5022000670433044": 142, "5004948973655701": 142, "008030302822589874": 142, "016813084483146667": 142, "016375435516238213": 142, "0612817108631134": 142, "01616952382028103": 142, "025951573625206947": 142, "006716716568917036": 142, "018927190452814102": 142, "0025628136936575174": 142, "023741066455841064": 142, "09322081506252289": 142, "022958174347877502": 142, "0038433994632214308": 142, "0017078375676646829": 142, "0039008164312690496": 142, "011268760077655315": 142, "011174064129590988": 142, "015766816213726997": 142, "014732442796230316": 142, "008841552771627903": 142, "0008237386937253177": 142, "05600690469145775": 142, "03972453251481056": 142, "08477349579334259": 142, "011157038621604443": 142, "0014976668171584606": 142, "008562705479562283": 142, "05324613302946091": 142, "04137125238776207": 142, "06033935770392418": 142, "015167338773608208": 142, "007237549405544996": 142, "814077717834152e": 142, "0026530625764280558": 142, "010385612025856972": 142, "02031755819916725": 142, "06358858942985535": 142, "048451829701662064": 142, "08994345366954803": 142, "0005899714305996895": 142, "004629505332559347": 142, "03502104803919792": 142, "0033629275858402252": 142, "008275902830064297": 142, "002445054240524769": 142, "011106555350124836": 142, "01934482343494892": 142, "017587484791874886": 142, "005966137629002333": 142, "0018561879405751824": 142, "023810923099517822": 142, "006643551401793957": 142, "00849774107336998": 142, "020407479256391525": 142, "31526538729667664": 142, "11987975239753723": 142, "32027092576026917": 142, "1434934288263321": 142, "18254351615905762": 142, "13407398760318756": 142, "798328399658203": 142, "005077848210930824": 142, "95233154296875": 142, "4066680669784546": 142, "5570968389511108": 142, "967729568481445": 142, "811760902404785": 142, "8166756629943848": 142, "92404556274414": 142, "417628526687622": 142, "231316566467285": 142, "866966247558594": 142, "8142426013946533": 142, "651313781738281": 142, "919885635375977": 142, "4130444526672363": 142, "8993330001831055": 142, "94883918762207": 142, "643484592437744": 142, "0050915624015033245": 142, "89794158935547": 142, "2540130615234375": 142, "4266760349273682": 142, "829788208007812": 142, "645139694213867": 142, "8319599628448486": 142, "885648727416992": 142, "259176731109619": 142, "238283634185791": 142, "835529327392578": 142, "646800518035889": 142, "639957904815674": 142, "884122848510742": 142, "257856369018555": 142, "04849910736084": 142, "82801628112793": 142, "48853588104248": 142, "0058706472627818584": 142, "953054428100586": 142, "028761863708496": 142, "4362831115722656": 142, "824207305908203": 142, "479819297790527": 142, "819972515106201": 142, "922950744628906": 142, "04435396194458": 142, "242825031280518": 142, "83878517150879": 142, "479448318481445": 142, "6524658203125": 142, "921188354492188": 142, "027703762054443": 142, "048378944396973": 142, "82253646850586": 142, "3743289709091187": 142, "032760053873062134": 142, "384658813476562": 142, "3005032539367676": 142, "03109070472419262": 142, "708471298217773": 142, "4297632575035095": 142, "2087907791137695": 142, "1965408325195312": 142, "186697006225586": 142, "1761586666107178": 142, "1659743785858154": 142, "1561713218688965": 142, "146665334701538": 142, "1377530097961426": 142, "128894567489624": 142, "1203117370605469": 142, "111959457397461": 142, "1037182807922363": 142, "0957684516906738": 142, "0879409313201904": 142, "0801067352294922": 142, "0725703239440918": 142, "0651004314422607": 142, "0578031539916992": 142, "0505907535552979": 142, "0435912609100342": 142, "036921501159668": 142, "0300571918487549": 142, "0232563018798828": 142, "0166890621185303": 142, "0101983547210693": 142, "0036985874176025": 142, "9973904490470886": 142, "9911667704582214": 142, "9850271344184875": 142, "9783325791358948": 142, "9721985459327698": 142, "9662761092185974": 142, "96055668592453": 142, "9547681212425232": 142, "9490446448326111": 142, "9433900713920593": 142, "937797486782074": 142, "9322571158409119": 142, "9267711043357849": 142, "9213419556617737": 142, "9159604907035828": 142, "9106233716011047": 142, "905331552028656": 142, "900087296962738": 142, "8948468565940857": 142, "8896834254264832": 142, "8845630288124084": 142, "8794813752174377": 142, "8749019503593445": 142, "8698986172676086": 142, "8649013638496399": 142, "8599682450294495": 142, "8550706505775452": 142, "8502023816108704": 142, "8453275561332703": 142, "8402833342552185": 142, "8353827595710754": 142, "8306438326835632": 142, "8259283900260925": 142, "8210867047309875": 142, "8164255023002625": 142, "8117911219596863": 142, "8070711493492126": 142, "8024900555610657": 142, "797904908657074": 142, "7933700680732727": 142, "7889006733894348": 142, "7844184041023254": 142, "7799616456031799": 142, "775528609752655": 142, "7711204886436462": 142, "7667356133460999": 142, "7623752951622009": 142, "7583022713661194": 142, "7539986968040466": 142, "7497181296348572": 142, "7454575896263123": 142, "7412323355674744": 142, "7370163798332214": 142, "7328248620033264": 142, "7288081049919128": 142, "7246598601341248": 142, "720537006855011": 142, "7164382338523865": 142, "7114802002906799": 142, "7074148058891296": 142, "7033743262290955": 142, "6993564963340759": 142, "6953020691871643": 142, "6913318037986755": 142, "687384307384491": 142, "683458149433136": 142, "679555356502533": 142, "6756770014762878": 142, "6718205809593201": 142, "6678134799003601": 142, "6640039086341858": 142, "6602185368537903": 142, "6564565300941467": 142, "6527205109596252": 142, "6490078568458557": 142, "645393431186676": 142, "6417321562767029": 142, "6380966305732727": 142, "6344875693321228": 142, "6309069991111755": 142, "6273537278175354": 142, "6238568425178528": 142, "6203623414039612": 142, "6168964505195618": 142, "6134627461433411": 142, "6097341179847717": 142, "606361448764801": 142, "6030222773551941": 142, "5997151732444763": 142, "596648633480072": 142, "5934088826179504": 142, "5902048945426941": 142, "5870351195335388": 142, "5838566422462463": 142, "5807560086250305": 142, "5776906609535217": 142, "5745540261268616": 142, "5717248320579529": 142, "5687548518180847": 142, "5658188462257385": 142, "5629162192344666": 142, "5601817965507507": 142, "5573468804359436": 142, "554543673992157": 142, "5517906546592712": 142, "5490475296974182": 142, "5462782979011536": 142, "5435989499092102": 142, "5416441559791565": 142, "5390225052833557": 142, "5365980267524719": 142, "5340827107429504": 142, "5315459370613098": 142, "5290387272834778": 142, "5265582203865051": 142, "5241090655326843": 142, "5216860175132751": 142, "5192909836769104": 142, "5169236063957214": 142, "5145848393440247": 142, "5122746825218201": 142, "5099912285804749": 142, "5077372193336487": 142, "5055106282234192": 142, "5033139586448669": 142, "5011904835700989": 142, "49904865026474": 142, "49693506956100464": 142, "4948660731315613": 142, "49281221628189087": 142, "490788996219635": 142, "48879414796829224": 142, "4867951273918152": 142, "4848625063896179": 142, "4829586148262024": 142, "48108476400375366": 142, "4792432188987732": 142, "4774302840232849": 142, "4756473898887634": 142, "4738951325416565": 142, "4721749424934387": 142, "47031670808792114": 142, "4686567187309265": 142, "4670022130012512": 142, "4654015898704529": 142, "46361786127090454": 142, "46207839250564575": 142, "4605700373649597": 142, "4590917229652405": 142, "4576461911201477": 142, "4562304615974426": 142, "4545784592628479": 142, "4532255530357361": 142, "45217448472976685": 142, "4508814215660095": 142, "44986897706985474": 142, "44863420724868774": 142, "44742876291275024": 142, "4462549090385437": 142, "4451064467430115": 142, "44398635625839233": 142, "4425610899925232": 142, "44149500131607056": 142, "44045382738113403": 142, "4393276572227478": 142, "4382597804069519": 142, "43729203939437866": 142, "4363476634025574": 142, "4354255795478821": 142, "4345260262489319": 142, "4336465001106262": 142, "4327877163887024": 142, "43194693326950073": 142, "43107837438583374": 142, "430275022983551": 142, "4294878840446472": 142, "428716242313385": 142, "42796069383621216": 142, "4272180199623108": 142, "42648905515670776": 142, "4257757067680359": 142, "4250723719596863": 142, "42421621084213257": 142, "4237448573112488": 142, "42307883501052856": 142, "4224258065223694": 142, "42178648710250854": 142, "4211485981941223": 142, "42053645849227905": 142, "419938862323761": 142, "4193597435951233": 142, "4187970757484436": 142, "4182516932487488": 142, "4177277684211731": 142, "4172249436378479": 142, "41674166917800903": 142, "4162805676460266": 142, "4158422350883484": 142, "41542714834213257": 142, "4149659276008606": 142, "41460078954696655": 142, "41425949335098267": 142, "4139428734779358": 142, "41364556550979614": 142, "4133748412132263": 142, "41328030824661255": 142, "41305381059646606": 142, "41285282373428345": 142, "41267114877700806": 142, "4125126004219055": 142, "41237717866897583": 142, "41221147775650024": 142, "4121193289756775": 142, "4120483994483948": 142, "41199713945388794": 142, "41196805238723755": 142, "4119585156440735": 142, "4120017886161804": 142, "4118412137031555": 142, "4119073748588562": 142, "4119953513145447": 142, "4121348261833191": 142, "4122564196586609": 142, "41239744424819946": 142, "4125552773475647": 142, "41272813081741333": 142, "4129180312156677": 142, "41312652826309204": 142, "41324037313461304": 142, "41347628831863403": 142, "4137248396873474": 142, "4139893651008606": 142, "41426795721054077": 142, "41481536626815796": 142, "4150802493095398": 142, "4153900742530823": 142, "4156818985939026": 142, "41601067781448364": 142, "41634994745254517": 142, "41669613122940063": 142, "41705745458602905": 142, "4174214005470276": 142, "4177963137626648": 142, "41817957162857056": 142, "4185677170753479": 142, "4189295172691345": 142, "41928213834762573": 142, "4196900725364685": 142, "42009955644607544": 142, "420521080493927": 142, "42094582319259644": 142, "4207950234413147": 142, "42122000455856323": 142, "4216468930244446": 142, "4220770001411438": 142, "42244213819503784": 142, "42287689447402954": 142, "42357736825942993": 142, "4240158200263977": 142, "4244542717933655": 142, "424896776676178": 142, "4253355860710144": 142, "4262149930000305": 142, "42665189504623413": 142, "4270891547203064": 142, "4275241494178772": 142, "42767590284347534": 142, "4281044602394104": 142, "4285154938697815": 142, "42893368005752563": 142, "4293505549430847": 142, "005964266136288643": 142, "010647126473486423": 142, "007333414629101753": 142, "007442608010023832": 142, "07713070511817932": 142, "022641751915216446": 142, "002386057749390602": 142, "007491843309253454": 142, "011863206513226032": 142, "019457824528217316": 142, "01992354355752468": 142, "01761503517627716": 142, "007547423243522644": 142, "014936747960746288": 142, "01278617326170206": 142, "022558240219950676": 142, "052302151918411255": 142, "017978820949792862": 142, "011878087185323238": 142, "005066948477178812": 142, "027017991989850998": 142, "020620528608560562": 142, "013497051782906055": 142, "0482594333589077": 142, "01300477422773838": 142, "007012288551777601": 142, "030145520344376564": 142, "023804137483239174": 142, "008798865601420403": 142, "046631377190351486": 142, "014716166071593761": 142, "0036976074334234": 142, "029951345175504684": 142, "028292858973145485": 142, "004624161869287491": 142, "044399410486221313": 142, "02520112693309784": 142, "011294052936136723": 142, "009746916592121124": 142, "006616685539484024": 142, "013512923382222652": 142, "04119044914841652": 142, "014119217172265053": 142, "012968395836651325": 142, "009646858088672161": 142, "004270090721547604": 142, "011186907067894936": 142, "03921175375580788": 142, "016961684450507164": 142, "01791658066213131": 142, "0024563635233789682": 142, "006888014730066061": 142, "011481997556984425": 142, "036276742815971375": 142, "08791975677013397": 142, "11618372052907944": 142, "11089890450239182": 142, "06342332065105438": 142, "006532817147672176": 142, "17956815659999847": 142, "8099446296691895": 142, "025218486785888672": 142, "950590133666992": 142, "4012223482131958": 142, "4197888374328613": 142, "86316680908203": 142, "8176794052124023": 142, "8072264194488525": 142, "901506423950195": 142, "3643641471862793": 142, "153529644012451": 142, "824758529663086": 142, "7991724014282227": 142, "65469217300415": 142, "968311309814453": 142, "2215420007705688": 142, "128810405731201": 142, "971397399902344": 142, "614036560058594": 142, "03120754472911358": 142, "946414947509766": 142, "224099636077881": 142, "4118958711624146": 142, "859086990356445": 142, "643436431884766": 142, "801426410675049": 142, "892375946044922": 142, "24676513671875": 142, "178876876831055": 142, "82235336303711": 142, "619132041931152": 142, "641615390777588": 142, "923105239868164": 142, "269452095031738": 142, "058503150939941": 142, "98693084716797": 142, "468231201171875": 142, "03703116998076439": 142, "956144332885742": 142, "034184455871582": 142, "415676236152649": 142, "85528564453125": 142, "449972152709961": 142, "797299385070801": 142, "892436981201172": 142, "035042762756348": 142, "20673942565918": 142, "848440170288086": 142, "452091217041016": 142, "635915279388428": 142, "92637062072754": 142, "994405746459961": 142, "030480861663818": 142, "885601043701172": 142, "544123649597168": 142, "503114223480225": 142, "44422149658203": 142, "3411595821380615": 142, "979096412658691": 142, "278202056884766": 142, "7086208462715149": 142, "473881483078003": 142, "4594063758850098": 142, "4481580257415771": 142, "437185287475586": 142, "4266102313995361": 142, "4157073497772217": 142, "405242681503296": 142, "3953351974487305": 142, "3857612609863281": 142, "3766262531280518": 142, "367903709411621": 142, "3590993881225586": 142, "350766897201538": 142, "3424665927886963": 142, "3344175815582275": 142, "3264310359954834": 142, "318009376525879": 142, "310290813446045": 142, "302659511566162": 142, "295189380645752": 142, "2877748012542725": 142, "2805213928222656": 142, "2734792232513428": 142, "266554832458496": 142, "2598328590393066": 142, "253141164779663": 142, "2465906143188477": 142, "2400588989257812": 142, "233734369277954": 142, "227494239807129": 142, "2213640213012695": 142, "2149524688720703": 142, "209031105041504": 142, "2032206058502197": 142, "1975150108337402": 142, "1919136047363281": 142, "186413288116455": 142, "181016445159912": 142, "1757187843322754": 142, "1705455780029297": 142, "1652953624725342": 142, "160215139389038": 142, "1553053855895996": 142, "1504883766174316": 142, "1457571983337402": 142, "1411099433898926": 142, "1365470886230469": 142, "1320252418518066": 142, "1276254653930664": 142, "1236000061035156": 142, "1193480491638184": 142, "115236520767212": 142, "1111299991607666": 142, "107107400894165": 142, "1031372547149658": 142, "0992283821105957": 142, "0916922092437744": 142, "0879673957824707": 142, "0842986106872559": 142, "0806841850280762": 142, "0771245956420898": 142, "0736169815063477": 142, "0701594352722168": 142, "0667524337768555": 142, "0633935928344727": 142, "0601685047149658": 142, "056910514831543": 142, "053694725036621": 142, "0505218505859375": 142, "047391414642334": 142, "0443217754364014": 142, "041276216506958": 142, "0382673740386963": 142, "0354523658752441": 142, "0325264930725098": 142, "029637336730957": 142, "0267832279205322": 142, "0239653587341309": 142, "0211808681488037": 142, "0184307098388672": 142, "0157134532928467": 142, "0130283832550049": 142, "0103766918182373": 142, "007756233215332": 142, "00516676902771": 142, "0026087760925293": 142, "0000815391540527": 142, "9975834488868713": 142, "9951156973838806": 142, "9926757216453552": 142, "9902648329734802": 142, "987882673740387": 142, "9855553507804871": 142, "9832302927970886": 142, "9809311032295227": 142, "9786582589149475": 142, "9764135479927063": 142, "9741948246955872": 142, "9720019698143005": 142, "9699704051017761": 142, "9678289294242859": 142, "96571284532547": 142, "9635325074195862": 142, "9614648222923279": 142, "9594226479530334": 142, "9574045538902283": 142, "9554097056388855": 142, "9534391760826111": 142, "9514661431312561": 142, "949539840221405": 142, "9476352334022522": 142, "9457548260688782": 142, "9438686966896057": 142, "9422147870063782": 142, "9403980374336243": 142, "939540445804596": 142, "9377743601799011": 142, "9361537098884583": 142, "9344283938407898": 142, "9327211976051331": 142, "9310316443443298": 142, "9293609261512756": 142, "9278326630592346": 142, "9261965155601501": 142, "9245766997337341": 142, "9229733347892761": 142, "9213857054710388": 142, "9199585318565369": 142, "9184190630912781": 142, "9168766140937805": 142, "9153496623039246": 142, "9138358235359192": 142, "9123366475105286": 142, "9108518958091736": 142, "9092982411384583": 142, "9078419804573059": 142, "9064001441001892": 142, "9049718976020813": 142, "903556764125824": 142, "9019959568977356": 142, "9006044268608093": 142, "8992263674736023": 142, "8978607058525085": 142, "8965074419975281": 142, "8951660990715027": 142, "8938375115394592": 142, "8925204873085022": 142, "8913336396217346": 142, "8900384306907654": 142, "8887571692466736": 142, "8874862790107727": 142, "8862276673316956": 142, "8849789500236511": 142, "8837395310401917": 142, "8825119137763977": 142, "8812941908836365": 142, "8800857663154602": 142, "8788874745368958": 142, "8776980042457581": 142, "8765175938606262": 142, "875345766544342": 142, "8741834759712219": 142, "8729512095451355": 142, "8716868758201599": 142, "870547354221344": 142, "8694154620170593": 142, "8682908415794373": 142, "8671737313270569": 142, "8660637736320496": 142, "8649585843086243": 142, "8638601899147034": 142, "8627654910087585": 142, "8616769909858704": 142, "860592782497406": 142, "8595137000083923": 142, "8584379553794861": 142, "8573655486106873": 142, "8562955260276794": 142, "8552283644676208": 142, "8541632294654846": 142, "853098452091217": 142, "852034866809845": 142, "8509705662727356": 142, "849906861782074": 142, "848842442035675": 142, "8477776646614075": 142, "8467113375663757": 142, "8456422686576843": 142, "8445727229118347": 142, "8434998393058777": 142, "8424248099327087": 142, "841188371181488": 142, "8401075005531311": 142, "8390232920646667": 142, "8379356265068054": 142, "8368434309959412": 142, "8357478976249695": 142, "8346490263938904": 142, "8335471749305725": 142, "8324405550956726": 142, "831342875957489": 142, "8302283883094788": 142, "8291115164756775": 142, "8279914259910583": 142, "8268670439720154": 142, "825740396976471": 142, "8246099352836609": 142, "8234763741493225": 142, "8223392367362976": 142, "8211991190910339": 142, "8200566172599792": 142, "8189099431037903": 142, "8177598118782043": 142, "8166059851646423": 142, "8155469298362732": 142, "8143840432167053": 142, "8131670355796814": 142, "8120970129966736": 142, "8109233975410461": 142, "8097451329231262": 142, "8085630536079407": 142, "807375967502594": 142, "8061831593513489": 142, "8049854636192322": 142, "8037829995155334": 142, "8025752902030945": 142, "8013620972633362": 142, "8001429438591003": 142, "7989183068275452": 142, "7976874709129333": 142, "7964504361152649": 142, "795208752155304": 142, "7939593195915222": 142, "7927042841911316": 142, "7914419770240784": 142, "7901740670204163": 142, "7888991236686707": 142, "787327229976654": 142, "7860406041145325": 142, "7847471833229065": 142, "783445417881012": 142, "7821369767189026": 142, "7808725237846375": 142, "7795462012290955": 142, "7782127261161804": 142, "7768695950508118": 142, "775868833065033": 142, "7745099663734436": 142, "7731450200080872": 142, "7717815041542053": 142, "770420253276825": 142, "7690597176551819": 142, "7677012085914612": 142, "7663447260856628": 142, "7649901509284973": 142, "763637363910675": 142, "7625979781150818": 142, "761249840259552": 142, "7599043250083923": 142, "7585620284080505": 142, "7573711276054382": 142, "756034791469574": 142, "7547006011009216": 142, "7533687949180603": 142, "7520409226417542": 142, "7507162690162659": 142, "7493962645530701": 142, "7480785250663757": 142, "7467643618583679": 142, "7454535365104675": 142, "7441462874412537": 142, "7428417801856995": 142, "7416816353797913": 142, "7403878569602966": 142, "7390955090522766": 142, "7378057837486267": 142, "7365177273750305": 142, "7352314591407776": 142, "7339462637901306": 142, "7326628565788269": 142, "7313807606697083": 142, "7300909161567688": 142, "7288104891777039": 142, "7275875210762024": 142, "7262347340583801": 142, "7249565720558167": 142, "7236769795417786": 142, "7223995327949524": 142, "7211217284202576": 142, "719845712184906": 142, "7185694575309753": 142, "7174730896949768": 142, "7162560820579529": 142, "7149812579154968": 142, "7137061953544617": 142, "7124319672584534": 142, "7111601233482361": 142, "7098900675773621": 142, "008622303605079651": 142, "00014437166100833565": 142, "00969415158033371": 142, "013099619187414646": 142, "0001367271033814177": 142, "0017528508324176073": 142, "004319373983889818": 142, "001502343686297536": 142, "006007491145282984": 142, "0006344022112898529": 142, "0258868969976902": 142, "0019453634740784764": 142, "002019033767282963": 142, "004426655359566212": 142, "004723858553916216": 142, "013737693428993225": 142, "0413580983877182": 142, "011492123827338219": 142, "01949734427034855": 142, "007399044930934906": 142, "02158677950501442": 142, "01238510012626648": 142, "0033185742795467377": 142, "012479603290557861": 142, "006395895034074783": 142, "00018399779219180346": 142, "008071504533290863": 142, "01604163460433483": 142, "006810259073972702": 142, "019242973998188972": 142, "013194870203733444": 142, "0019335555844008923": 142, "016383850947022438": 142, "008181183598935604": 142, "014349271543323994": 142, "061235520988702774": 142, "02216634899377823": 142, "005632482934743166": 142, "0035898739006370306": 142, "0028908662497997284": 142, "002612033160403371": 142, "01009991392493248": 142, "004889382515102625": 142, "004697514232248068": 142, "003273227484896779": 142, "0032494680490344763": 142, "003466033609583974": 142, "009465433657169342": 142, "011035889387130737": 142, "0034591183066368103": 142, "0017029863083735108": 142, "0068848617374897": 142, "004530503414571285": 142, "015053928829729557": 142, "09302180260419846": 142, "059202179312705994": 142, "035370830446481705": 142, "26279643177986145": 142, "23098304867744446": 142, "10994557291269302": 142, "8108534812927246": 142, "008921203203499317": 142, "932836532592773": 142, "5386238098144531": 142, "4339174032211304": 142, "994112014770508": 142, "8128662109375": 142, "7978076934814453": 142, "934711456298828": 142, "421667456626892": 142, "246291160583496": 142, "8424015045166": 142, "8278706073760986": 142, "633615016937256": 142, "89153289794922": 142, "424854040145874": 142, "019045829772949": 142, "83042335510254": 142, "653179168701172": 142, "006997822783887386": 142, "930574417114258": 142, "23300838470459": 142, "3904262781143188": 142, "877185821533203": 142, "653908729553223": 142, "7972593307495117": 142, "93406105041504": 142, "235154151916504": 142, "235988140106201": 142, "84663200378418": 142, "6367950439453125": 142, "632558345794678": 142, "891498565673828": 142, "231445789337158": 142, "024651527404785": 142, "844770431518555": 142, "465583801269531": 142, "021287797018885612": 142, "963865280151367": 142, "925229549407959": 142, "4258029460906982": 142, "986438751220703": 142, "465655326843262": 142, "795024871826172": 142, "951276779174805": 142, "0483222007751465": 142, "244686603546143": 142, "842172622680664": 142, "464422225952148": 142, "6367011070251465": 142, "902889251708984": 142, "038278102874756": 142, "0171918869018555": 142, "829994201660156": 142, "45515251159668": 142, "331357717514038": 142, "45973777770996": 142, "442831993103027": 142, "198087215423584": 142, "91971778869629": 142, "4127129912376404": 142, "0029242038726807": 142, "9858656525611877": 142, "9729798436164856": 142, "960171639919281": 142, "9473525881767273": 142, "9344251751899719": 142, "9226511120796204": 142, "9114864468574524": 142, "9010959267616272": 142, "8910126090049744": 142, "8814093470573425": 142, "8721926808357239": 142, "8632099032402039": 142, "8544483780860901": 142, "8461092114448547": 142, "8378626704216003": 142, "8296143412590027": 142, "8218942284584045": 142, "8143495917320251": 142, "8069440722465515": 142, "7996892333030701": 142, "7926663756370544": 142, "785679280757904": 142, "7788053154945374": 142, "7720463871955872": 142, "7653455138206482": 142, "7587936520576477": 142, "7523427605628967": 142, "7459858059883118": 142, "7397859692573547": 142, "7336146235466003": 142, "7275292277336121": 142, "721519410610199": 142, "7156047224998474": 142, "7097702622413635": 142, "7040155529975891": 142, "6983526349067688": 142, "6926698088645935": 142, "6870750784873962": 142, "6814519762992859": 142, "6760838627815247": 142, "670787513256073": 142, "6656313538551331": 142, "6604825854301453": 142, "6554372906684875": 142, "6504287123680115": 142, "6454885601997375": 142, "6406330466270447": 142, "6359924674034119": 142, "6312946677207947": 142, "6267772316932678": 142, "6222350001335144": 142, "6182560324668884": 142, "6138667464256287": 142, "6098853945732117": 142, "6056758761405945": 142, "6017029881477356": 142, "5975787043571472": 142, "5936036705970764": 142, "5898602604866028": 142, "5860814452171326": 142, "5824121832847595": 142, "5788488984107971": 142, "5753907561302185": 142, "5720327496528625": 142, "5688202977180481": 142, "5656619668006897": 142, "5624937415122986": 142, "5595201849937439": 142, "5566374659538269": 142, "5539061427116394": 142, "5511950850486755": 142, "5485668778419495": 142, "5459704995155334": 142, "5432941317558289": 142, "5409035086631775": 142, "5385867953300476": 142, "5363423228263855": 142, "5339938998222351": 142, "5318865180015564": 142, "5298461318016052": 142, "5278692841529846": 142, "5259390473365784": 142, "5240835547447205": 142, "5223727822303772": 142, "520666778087616": 142, "5189786553382874": 142, "5173446536064148": 142, "515760600566864": 142, "5142243504524231": 142, "5127361416816711": 142, "5111436247825623": 142, "509745180606842": 142, "5083897709846497": 142, "5070745348930359": 142, "5057980418205261": 142, "5045594573020935": 142, "5033569931983948": 142, "5021901726722717": 142, "5010992884635925": 142, "5000165104866028": 142, "4989461302757263": 142, "4979035258293152": 142, "4968876242637634": 142, "49589651823043823": 142, "4949299693107605": 142, "4939855933189392": 142, "49306291341781616": 142, "49215930700302124": 142, "491274893283844": 142, "49040788412094116": 142, "48955804109573364": 142, "4887239336967468": 142, "4879050850868225": 142, "487099826335907": 142, "4863080382347107": 142, "48552900552749634": 142, "4847612977027893": 142, "48400551080703735": 142, "4832605719566345": 142, "48252469301223755": 142, "4817996621131897": 142, "48099201917648315": 142, "48028355836868286": 142, "4795841574668884": 142, "4788939356803894": 142, "47821277379989624": 142, "4775387644767761": 142, "47594958543777466": 142, "4752888083457947": 142, "4746360182762146": 142, "4739916920661926": 142, "47335487604141235": 142, "4727255702018738": 142, "4721052050590515": 142, "4714924693107605": 142, "47088807821273804": 142, "4702908396720886": 142, "4697023034095764": 142, "46912187337875366": 142, "46854883432388306": 142, "4679839015007019": 142, "46732228994369507": 142, "46677130460739136": 142, "46622782945632935": 142, "4656915068626404": 142, "46516209840774536": 142, "4646398425102234": 142, "4641243815422058": 142, "4636158347129822": 142, "4631132483482361": 142, "4626172184944153": 142, "4621275067329407": 142, "46069127321243286": 142, "4602124094963074": 142, "45973819494247437": 142, "45927077531814575": 142, "45880693197250366": 142, "45834869146347046": 142, "45789462327957153": 142, "4574447274208069": 142, "45699864625930786": 142, "456556499004364": 142, "45611804723739624": 142, "4556829333305359": 142, "4552507996559143": 142, "4548214077949524": 142, "45439523458480835": 142, "4539714455604553": 142, "45355087518692017": 142, "453132688999176": 142, "4527164101600647": 142, "4523029923439026": 142, "45192474126815796": 142, "4515147805213928": 142, "4511074423789978": 142, "45097142457962036": 142, "4505658745765686": 142, "45016294717788696": 142, "4497610926628113": 142, "44936174154281616": 142, "44896334409713745": 142, "4485660195350647": 142, "44817012548446655": 142, "44777530431747437": 142, "4473819136619568": 142, "44698888063430786": 142, "44659727811813354": 142, "4462072253227234": 142, "44581812620162964": 142, "44542986154556274": 142, "44504231214523315": 142, "4446564316749573": 142, "44420796632766724": 142, "4438210129737854": 142, "4434353709220886": 142, "44305068254470825": 142, "44266730546951294": 142, "4423215985298157": 142, "44189125299453735": 142, "441511332988739": 142, "4411318898200989": 142, "4407539963722229": 142, "4403638243675232": 142, "4399873614311218": 142, "4396112561225891": 142, "4392368197441101": 142, "4388630986213684": 142, "43849068880081177": 142, "4381179213523865": 142, "43774741888046265": 142, "437377393245697": 142, "4370097517967224": 142, "43664318323135376": 142, "4362780451774597": 142, "43591421842575073": 142, "4355528950691223": 142, "4351932406425476": 142, "434836208820343": 142, "43448108434677124": 142, "4341288208961487": 142, "43377918004989624": 142, "43343156576156616": 142, "43308740854263306": 142, "4327459931373596": 142, "43240708112716675": 142, "43207138776779175": 142, "43173831701278687": 142, "4312315583229065": 142, "43090540170669556": 142, "43058067560195923": 142, "4302600026130676": 142, "43012601137161255": 142, "42981070280075073": 142, "4294970631599426": 142, "42918580770492554": 142, "42887622117996216": 142, "42856794595718384": 142, "42826229333877563": 142, "4279584288597107": 142, "42765647172927856": 142, "4273565411567688": 142, "42705851793289185": 142, "42676204442977905": 142, "4264678359031677": 142, "4260510802268982": 142, "4257602095603943": 142, "4254705309867859": 142, "42518335580825806": 142, "42489832639694214": 142, "4246153235435486": 142, "42433351278305054": 142, "42405396699905396": 142, "4237763285636902": 142, "42349928617477417": 142, "4232247471809387": 142, "42295128107070923": 142, "42268019914627075": 142, "42241066694259644": 142, "4221417307853699": 142, "4219784140586853": 142, "4217122197151184": 142, "42144840955734253": 142, "421186625957489": 142, "4207809567451477": 142, "42051810026168823": 142, "4202592968940735": 142, "4200037121772766": 142, "41977304220199585": 142, "4195207953453064": 142, "41927021741867065": 142, "41902226209640503": 142, "4187038540840149": 142, "41845816373825073": 142, "41821473836898804": 142, "4179723858833313": 142, "41773277521133423": 142, "4174956679344177": 142, "41725867986679077": 142, "4170237183570862": 142, "4167911410331726": 142, "4165598750114441": 142, "4163309931755066": 142, "41610294580459595": 142, "4158775210380554": 142, "4156540036201477": 142, "41543275117874146": 142, "41521376371383667": 142, "41506677865982056": 142, "414850652217865": 142, "4146360754966736": 142, "41442376375198364": 142, "4142138361930847": 142, "4140062928199768": 142, "41380149126052856": 142, "41359859704971313": 142, "4133990406990051": 142, "41320163011550903": 142, "4129069447517395": 142, "0008770072599872947": 142, "001687882817350328": 142, "007267172448337078": 142, "01084210816770792": 142, "008898641914129257": 142, "010490601882338524": 142, "0029816962778568268": 142, "003918740898370743": 142, "006561335176229477": 142, "002280701417475939": 142, "001975481631234288": 142, "00830837618559599": 142, "0007088269921950996": 142, "004613278899341822": 142, "010424787178635597": 142, "0027558868750929832": 142, "003703732741996646": 142, "012747501023113728": 142, "0025156487245112658": 142, "003463560016825795": 142, "008221370168030262": 142, "004739033989608288": 142, "010587336495518684": 142, "006900510750710964": 142, "0031149634160101414": 142, "004824826493859291": 142, "005918631795793772": 142, "0020333495922386646": 142, "003960187081247568": 142, "010656628757715225": 142, "0013093804009258747": 142, "005473460536450148": 142, "010103564709424973": 142, "001627266756258905": 142, "008666548877954483": 142, "01275945920497179": 142, "0031297856476157904": 142, "003301440505310893": 142, "005077954847365618": 142, "0009325762512162328": 142, "003485999768599868": 142, "006323419511318207": 142, "0027027910109609365": 142, "005820614751428366": 142, "0033604635391384363": 142, "0018743094988167286": 142, "004271597135812044": 142, "0072679175063967705": 142, "0007655721856281161": 142, "0034496448934078217": 142, "009269528090953827": 142, "277679520077072e": 142, "005619021598249674": 142, "012453257106244564": 142, "008381928317248821": 142, "01275647059082985": 142, "004614765290170908": 142, "022578565403819084": 142, "022433070465922356": 142, "04295936971902847": 142, "8329553604125977": 142, "006176662165671587": 142, "927845001220703": 142, "3886713981628418": 142, "3822801113128662": 142, "83606719970703": 142, "84179949760437": 142, "8060519695281982": 142, "952489852905273": 142, "3838698863983154": 142, "223970413208008": 142, "836721420288086": 142, "830465793609619": 142, "622428894042969": 142, "925636291503906": 142, "3894916772842407": 142, "035731315612793": 142, "843801498413086": 142, "625895023345947": 142, "0058416700921952724": 142, "93038558959961": 142, "222147464752197": 142, "2587614059448242": 142, "616851329803467": 142, "8061723709106445": 142, "9578857421875": 142, "21583366394043": 142, "3598198890686035": 142, "956960678100586": 142, "627236843109131": 142, "621043682098389": 142, "928226470947266": 142, "230978488922119": 142, "038428783416748": 142, "874752044677734": 142, "462080955505371": 142, "01672307401895523": 142, "8902645111084": 142, "076456546783447": 142, "3758374452590942": 142, "831348419189453": 142, "8099374771118164": 142, "90167999267578": 142, "0781073570251465": 142, "224332332611084": 142, "829824447631836": 142, "460760116577148": 142, "638330936431885": 142, "889638900756836": 142, "065760135650635": 142, "032261848449707": 142, "845890045166016": 142, "252402305603027": 142, "844825267791748": 142, "415254592895508": 142, "3452391624450684": 142, "8798110485076904": 142, "7882022857666": 142, "41621536016464233": 142, "9838742613792419": 142, "9724007248878479": 142, "9630820155143738": 142, "9533517956733704": 142, "9441270232200623": 142, "9351564049720764": 142, "9264428019523621": 142, "9180900454521179": 142, "9097577929496765": 142, "9020522236824036": 142, "8942796587944031": 142, "8868116736412048": 142, "8794276118278503": 142, "8725182414054871": 142, "8658353686332703": 142, "8590168356895447": 142, "8525030016899109": 142, "8461783528327942": 142, "8400110602378845": 142, "8340136408805847": 142, "828016459941864": 142, "822415292263031": 142, "8169505000114441": 142, "8116210103034973": 142, "8065416216850281": 142, "8014524579048157": 142, "7963785529136658": 142, "7915708422660828": 142, "7868497967720032": 142, "7822632193565369": 142, "7776110768318176": 142, "7732238173484802": 142, "7689319252967834": 142, "7647480368614197": 142, "7606291174888611": 142, "7564553618431091": 142, "7524552941322327": 142, "7485596537590027": 142, "7447322010993958": 142, "7412782311439514": 142, "7376156449317932": 142, "7340863347053528": 142, "7304875254631042": 142, "7269420027732849": 142, "7234482169151306": 142, "7200016379356384": 142, "716367781162262": 142, "713010847568512": 142, "7096930146217346": 142, "7063632607460022": 142, "7031176686286926": 142, "6996757388114929": 142, "6965487599372864": 142, "6933863759040833": 142, "6902675032615662": 142, "6871773600578308": 142, "6841123700141907": 142, "6805770993232727": 142, "6775618195533752": 142, "6745672821998596": 142, "6715958714485168": 142, "6687037348747253": 142, "6657722592353821": 142, "6628581881523132": 142, "6599625945091248": 142, "6570824980735779": 142, "6542180180549622": 142, "6512452960014343": 142, "648919403553009": 142, "646479070186615": 142, "643678605556488": 142, "6405667662620544": 142, "6377934813499451": 142, "635032594203949": 142, "6322856545448303": 142, "6295817494392395": 142, "6268631815910339": 142, "6241584420204163": 142, "621513307094574": 142, "6188413500785828": 142, "6161834597587585": 142, "6135405898094177": 142, "6109128594398499": 142, "6083013415336609": 142, "6057037711143494": 142, "6031224131584167": 142, "6005563139915466": 142, "5980039238929749": 142, "5954658389091492": 142, "5929442048072815": 142, "590434730052948": 142, "5879397988319397": 142, "5854578614234924": 142, "5829911828041077": 142, "5805349946022034": 142, "5780921578407288": 142, "5756651759147644": 142, "5732488036155701": 142, "5708450675010681": 142, "5684548020362854": 142, "5660127997398376": 142, "5636454224586487": 142, "5612675547599792": 142, "5589300990104675": 142, "5566074252128601": 142, "5543015599250793": 142, "5520125031471252": 142, "5497408509254456": 142, "5474891066551208": 142, "545254647731781": 142, "5430397391319275": 142, "5408445000648499": 142, "5386452078819275": 142, "5364922881126404": 142, "5343627333641052": 142, "5322559475898743": 142, "5302574038505554": 142, "528347909450531": 142, "5263441205024719": 142, "5243764519691467": 142, "5224432349205017": 142, "5205441117286682": 142, "5186765789985657": 142, "5168423056602478": 142, "515036404132843": 142, "5132587552070618": 142, "5115092396736145": 142, "5097853541374207": 142, "5080879330635071": 142, "5062525868415833": 142, "504600465297699": 142, "5029688477516174": 142, "5013585686683655": 142, "4997689127922058": 142, "4981982111930847": 142, "4966452717781067": 142, "49511009454727173": 142, "4935930371284485": 142, "4920920729637146": 142, "49060648679733276": 142, "4891367554664612": 142, "4876815676689148": 142, "4862414002418518": 142, "48481661081314087": 142, "483406126499176": 142, "48200899362564087": 142, "4806278347969055": 142, "4792582392692566": 142, "47790461778640747": 142, "47656410932540894": 142, "47523778676986694": 142, "47392481565475464": 142, "47286492586135864": 142, "4715805649757385": 142, "47030991315841675": 142, "46905452013015747": 142, "46781355142593384": 142, "4665866494178772": 142, "4653748869895935": 142, "4641769528388977": 142, "46299368143081665": 142, "46182459592819214": 142, "46029311418533325": 142, "45915287733078003": 142, "45802849531173706": 142, "4571245312690735": 142, "4560289978981018": 142, "45494943857192993": 142, "45381563901901245": 142, "452767550945282": 142, "45190054178237915": 142, "45100170373916626": 142, "4499991536140442": 142, "44901174306869507": 142, "4479601979255676": 142, "44700151681900024": 142, "44605666399002075": 142, "4451259970664978": 142, "44420939683914185": 142, "44330769777297974": 142, "4424191117286682": 142, "44154447317123413": 142, "44068390130996704": 142, "43983644247055054": 142, "43900245428085327": 142, "4381811022758484": 142, "4373733401298523": 142, "4365779757499695": 142, "43579548597335815": 142, "4350244402885437": 142, "434309184551239": 142, "43356138467788696": 142, "43282586336135864": 142, "43210166692733765": 142, "43137115240097046": 142, "4306681752204895": 142, "4299749732017517": 142, "4292932152748108": 142, "4286218285560608": 142, "4279608130455017": 142, "42730945348739624": 142, "426666796207428": 142, "4260346293449402": 142, "42541104555130005": 142, "4247972369194031": 142, "4241930842399597": 142, "42359596490859985": 142, "4230080246925354": 142, "4224289059638977": 142, "42185670137405396": 142, "42129284143447876": 142, "4207375645637512": 142, "4201892018318176": 142, "41964834928512573": 142, "41911453008651733": 142, "41858893632888794": 142, "4180697798728943": 142, "417558491230011": 142, "41730695962905884": 142, "4168779253959656": 142, "4163934588432312": 142, "41591519117355347": 142, "415444552898407": 142, "41498178243637085": 142, "41452521085739136": 142, "4140769839286804": 142, "4136349558830261": 142, "41286855936050415": 142, "41240888833999634": 142, "41199928522109985": 142, "4117355942726135": 142, "41134387254714966": 142, "4109637141227722": 142, "41059190034866333": 142, "41023319959640503": 142, "4098849892616272": 142, "40940457582473755": 142, "4090786576271057": 142, "40876537561416626": 142, "40846508741378784": 142, "40817826986312866": 142, "40790802240371704": 142, "407654345035553": 142, "40736860036849976": 142, "40739697217941284": 142, "4071963429450989": 142, "40701407194137573": 142, "40685099363327026": 142, "40670639276504517": 142, "40658003091812134": 142, "4064733386039734": 142, "4063860774040222": 142, "4063168168067932": 142, "4058559536933899": 142, "40582388639450073": 142, "405900776386261": 142, "40564996004104614": 142, "4057106375694275": 142, "40575069189071655": 142, "40580886602401733": 142, "405884325504303": 142, "4059775471687317": 142, "40608638525009155": 142, "4062109589576721": 142, "40635210275650024": 142, "4063592553138733": 142, "4064125418663025": 142, "4065994620323181": 142, "4067990183830261": 142, "40701061487197876": 142, "40723174810409546": 142, "4074646830558777": 142, "4077075123786926": 142, "40786904096603394": 142, "4081353545188904": 142, "4082396626472473": 142, "4085215926170349": 142, "4088119864463806": 142, "40920740365982056": 142, "4095150828361511": 142, "40983277559280396": 142, "4101516604423523": 142, "4104742407798767": 142, "4108056426048279": 142, "41113942861557007": 142, "41147881746292114": 142, "4118238091468811": 142, "4121728539466858": 142, "412550151348114": 142, "4129059910774231": 142, "4132623076438904": 142, "4136260151863098": 142, "41399282217025757": 142, "4143058657646179": 142, "4146798253059387": 142, "41505926847457886": 142, "41544049978256226": 142, "41582709550857544": 142, "0006258396897464991": 142, "019933737814426422": 142, "013735621236264706": 142, "0018334961496293545": 142, "01746063120663166": 142, "02494685724377632": 142, "008714769966900349": 142, "016418270766735077": 142, "004860154818743467": 142, "01420487742871046": 142, "013074124231934547": 142, "01713825762271881": 142, "001224221778102219": 142, "02218947559595108": 142, "004531799349933863": 142, "009960023686289787": 142, "010802770964801311": 142, "022761233150959015": 142, "0015128235099837184": 142, "0238343495875597": 142, "013236811384558678": 142, "003454487770795822": 142, "062051694840192795": 142, "0007428696844726801": 142, "015531458891928196": 142, "015627361834049225": 142, "009759699925780296": 142, "02738989144563675": 142, "00752607174217701": 142, "013589615933597088": 142, "00642042700201273": 142, "02293756604194641": 142, "002542270580306649": 142, "005458017345517874": 142, "0347152017056942": 142, "006581078749150038": 142, "0025697643868625164": 142, "006970428861677647": 142, "0223014447838068": 142, "001811839989386499": 142, "016074446961283684": 142, "022881092503666878": 142, "003704817732796073": 142, "005280943121761084": 142, "018811272457242012": 142, "0029582930728793144": 142, "013788148760795593": 142, "017167087644338608": 142, "003956185653805733": 142, "0065984707325696945": 142, "019196780398488045": 142, "00143615051638335": 142, "012560811825096607": 142, "020192191004753113": 142, "017719827592372894": 142, "059617772698402405": 142, "07518930733203888": 142, "032019197940826416": 142, "08315499871969223": 142, "06282617896795273": 142, "8445794582366943": 142, "0011509471805766225": 142, "890506744384766": 142, "4902336597442627": 142, "448388934135437": 142, "78626251220703": 142, "861290693283081": 142, "8382322788238525": 142, "879945755004883": 142, "444419264793396": 142, "249169826507568": 142, "825794219970703": 142, "8401992321014404": 142, "642666339874268": 142, "886402130126953": 142, "4584869146347046": 142, "047994136810303": 142, "81647491455078": 142, "679119110107422": 142, "008440190926194191": 142, "954708099365234": 142, "234127521514893": 142, "4182758331298828": 142, "84332275390625": 142, "699310779571533": 142, "7908101081848145": 142, "967426300048828": 142, "236043453216553": 142, "24883508682251": 142, "84099006652832": 142, "666647434234619": 142, "648660659790039": 142, "921682357788086": 142, "2367095947265625": 142, "051003932952881": 142, "838783264160156": 142, "449957847595215": 142, "020453184843063354": 142, "962047576904297": 142, "040366172790527": 142, "6010702848434448": 142, "039142608642578": 142, "470834732055664": 142, "8233189582824707": 142, "91813850402832": 142, "080813407897949": 142, "281249046325684": 142, "869081497192383": 142, "469084739685059": 142, "65602970123291": 142, "907114028930664": 142, "07546329498291": 142, "006349086761475": 142, "92407989501953": 142, "370976448059082": 142, "5125826597213745": 142, "70840072631836": 142, "341869354248047": 142, "601092517375946": 142, "86819076538086": 142, "7689122557640076": 142, "5306551456451416": 142, "5150599479675293": 142, "5042839050292969": 142, "4942364692687988": 142, "4845006465911865": 142, "475252628326416": 142, "466109275817871": 142, "4574363231658936": 142, "4489185810089111": 142, "440148115158081": 142, "4315032958984375": 142, "4229285717010498": 142, "414520025253296": 142, "4060211181640625": 142, "3977794647216797": 142, "3892452716827393": 142, "3810670375823975": 142, "3728914260864258": 142, "364802360534668": 142, "35677170753479": 142, "3488037586212158": 142, "340904712677002": 142, "3333287239074707": 142, "3260903358459473": 142, "319021224975586": 142, "312145471572876": 142, "3053874969482422": 142, "298905849456787": 142, "292661190032959": 142, "2865891456604004": 142, "2806789875030518": 142, "2749214172363281": 142, "2693073749542236": 142, "2638282775878906": 142, "2584733963012695": 142, "2532377243041992": 142, "247978925704956": 142, "2429561614990234": 142, "2374491691589355": 142, "2325959205627441": 142, "227837324142456": 142, "2231636047363281": 142, "2185735702514648": 142, "2140629291534424": 142, "2096271514892578": 142, "2053639888763428": 142, "2010762691497803": 142, "1968562602996826": 142, "1926991939544678": 142, "1886045932769775": 142, "1845545768737793": 142, "1805758476257324": 142, "1766557693481445": 142, "1727898120880127": 142, "1689794063568115": 142, "165221929550171": 142, "1615149974822998": 142, "157857894897461": 142, "1542491912841797": 142, "1506354808807373": 142, "1471474170684814": 142, "1436729431152344": 142, "1402411460876465": 142, "136878490447998": 142, "1335248947143555": 142, "1300888061523438": 142, "1268088817596436": 142, "123563528060913": 142, "1201796531677246": 142, "1170015335083008": 142, "1136665344238281": 142, "1104426383972168": 142, "107370376586914": 142, "1043291091918945": 142, "1016221046447754": 142, "098740816116333": 142, "0957903861999512": 142, "0928678512573242": 142, "0899815559387207": 142, "087120771408081": 142, "0845541954040527": 142, "0817515850067139": 142, "078977346420288": 142, "0760831832885742": 142, "073371410369873": 142, "0706913471221924": 142, "068042278289795": 142, "0654239654541016": 142, "062997817993164": 142, "0604443550109863": 142, "057922601699829": 142, "0554325580596924": 142, "0529727935791016": 142, "050544261932373": 142, "0481457710266113": 142, "0457768440246582": 142, "0434393882751465": 142, "0411298274993896": 142, "0388481616973877": 142, "0365965366363525": 142, "034372091293335": 142, "0321602821350098": 142, "029984474182129": 142, "0278315544128418": 142, "0257024765014648": 142, "0236127376556396": 142, "0215299129486084": 142, "0194683074951172": 142, "017430067062378": 142, "0154166221618652": 142, "0133459568023682": 142, "0113763809204102": 142, "0094270706176758": 142, "0074996948242188": 142, "005591869354248": 142, "0037040710449219": 142, "0018343925476074": 142, "9999668002128601": 142, "998100221157074": 142, "9962859749794006": 142, "9944869875907898": 142, "9927049279212952": 142, "9909395575523376": 142, "9891896843910217": 142, "9874599575996399": 142, "985750138759613": 142, "9840379357337952": 142, "9823668599128723": 142, "9807124733924866": 142, "9790762066841125": 142, "9774582982063293": 142, "9758589863777161": 142, "974276602268219": 142, "9727111458778381": 142, "9711616635322571": 142, "9696299433708191": 142, "9681140780448914": 142, "9666135907173157": 142, "965127170085907": 142, "9636562466621399": 142, "9618503451347351": 142, "9604082703590393": 142, "9589787125587463": 142, "9575632214546204": 142, "9561579823493958": 142, "954766571521759": 142, "9533843398094177": 142, "9520140290260315": 142, "9507594704627991": 142, "9494126439094543": 142, "9480739235877991": 142, "9467458128929138": 142, "9453710913658142": 142, "9440614581108093": 142, "9427595734596252": 142, "9414636492729187": 142, "9403281807899475": 142, "9390427470207214": 142, "9377647042274475": 142, "9364922642707825": 142, "9355842471122742": 142, "9343207478523254": 142, "9330644011497498": 142, "9318146109580994": 142, "9305698275566101": 142, "9293314814567566": 142, "9280977845191956": 142, "9268710017204285": 142, "9256492257118225": 142, "9244328141212463": 142, "92325359582901": 142, "9220510125160217": 142, "9208537936210632": 142, "9196615815162659": 142, "9184743762016296": 142, "9172911047935486": 142, "9161126017570496": 142, "9149937033653259": 142, "9138255715370178": 142, "9126628041267395": 142, "9115037322044373": 142, "9102059006690979": 142, "9090537428855896": 142, "9079059958457947": 142, "9067596793174744": 142, "9056172966957092": 142, "9044788479804993": 142, "9033412337303162": 142, "9022080302238464": 142, "9010753035545349": 142, "8999441266059875": 142, "8989737629890442": 142, "8978464007377625": 142, "8967203497886658": 142, "8955935835838318": 142, "8944686055183411": 142, "893342912197113": 142, "8922174572944641": 142, "8910911679267883": 142, "8899648785591125": 142, "8888385891914368": 142, "8877125382423401": 142, "886585533618927": 142, "8854575753211975": 142, "8843291401863098": 142, "8832008242607117": 142, "8820717930793762": 142, "8809422850608826": 142, "879645049571991": 142, "8785097002983093": 142, "8773736357688904": 142, "8762382864952087": 142, "8751023411750793": 142, "8739671111106873": 142, "8728324770927429": 142, "8716970086097717": 142, "870562732219696": 142, "869422972202301": 142, "8682889342308044": 142, "8671553730964661": 142, "8660219311714172": 142, "8648903965950012": 142, "8637588620185852": 142, "862628161907196": 142, "8603705763816833": 142, "8592436909675598": 142, "8581168055534363": 142, "8569930195808411": 142, "8558686375617981": 142, "8547458052635193": 142, "8536244034767151": 142, "8525033593177795": 142, "851383626461029": 142, "8502644896507263": 142, "8491464257240295": 142, "8481816649436951": 142, "8469597697257996": 142, "8459537625312805": 142, "8448341488838196": 142, "8437139391899109": 142, "8425958752632141": 142, "841475784778595": 142, "840297520160675": 142, "8391734957695007": 142, "8380482792854309": 142, "836922824382782": 142, "8357948660850525": 142, "8346652388572693": 142, "8332826495170593": 142, "8321477770805359": 142, "8310100436210632": 142, "8298688530921936": 142, "8287256360054016": 142, "8275784850120544": 142, "8264070153236389": 142, "8252547383308411": 142, "8240967392921448": 142, "8229369521141052": 142, "8217713236808777": 142, "8206025958061218": 142, "8194289803504944": 142, "8182501196861267": 142, "8170663714408875": 142, "8158780932426453": 142, "8146830201148987": 142, "8134836554527283": 142, "8122780919075012": 142, "8110262751579285": 142, "8098110556602478": 142, "8085888028144836": 142, "8073616623878479": 142, "8061270117759705": 142, "8048868775367737": 142, "8036406636238098": 142, "8023878931999207": 142, "8008596301078796": 142, "7995920777320862": 142, "798317015171051": 142, "7970359921455383": 142, "7957474589347839": 142, "7944517731666565": 142, "793148934841156": 142, "7918397784233093": 142, "7905223965644836": 142, "7891973853111267": 142, "7878636717796326": 142, "7865241169929504": 142, "785176694393158": 142, "7838216423988342": 142, "7824587225914001": 142, "7810871005058289": 142, "7797065377235413": 142, "7783179879188538": 142, "7760431170463562": 142, "7746345400810242": 142, "7732182145118713": 142, "7717916369438171": 142, "770357072353363": 142, "019180968403816223": 142, "014239211566746235": 142, "030331799760460854": 142, "1302618533372879": 142, "03713129833340645": 142, "15093283355236053": 142, "03444959223270416": 142, "009604440070688725": 142, "027881614863872528": 142, "0013870688853785396": 142, "0006709784502163529": 142, "06309470534324646": 142, "0032486929558217525": 142, "006395259872078896": 142, "019492248073220253": 142, "031510625034570694": 142, "035838980227708817": 142, "08296361565589905": 142, "005414440296590328": 142, "01012452132999897": 142, "015417122282087803": 142, "0003635613829828799": 142, "01547147799283266": 142, "045110415667295456": 142, "05883968248963356": 142, "06949035823345184": 142, "06518594920635223": 142, "008288096636533737": 142, "965521712729242e": 142, "05117809399962425": 142, "006755119189620018": 142, "029831916093826294": 142, "02064264565706253": 142, "006628950126469135": 142, "011402740143239498": 142, "05386962369084358": 142, "0005335824680514634": 142, "008258853107690811": 142, "00992572121322155": 142, "02829255722463131": 142, "0018775220960378647": 142, "0895121693611145": 142, "011697051115334034": 142, "0024807793088257313": 142, "017902981489896774": 142, "004417578689754009": 142, "032295551151037216": 142, "05633308365941048": 142, "008071373216807842": 142, "022426573559641838": 142, "028639623895287514": 142, "03580091893672943": 142, "1070331260561943": 142, "13664473593235016": 142, "034452084451913834": 142, "23779000341892242": 142, "13765445351600647": 142, "1966133415699005": 142, "19645746052265167": 142, "005131334997713566": 142, "8507823944091797": 142, "029989806935191154": 142, "969167709350586": 142, "3875138759613037": 142, "3996070623397827": 142, "820262908935547": 142, "8372514247894287": 142, "7773780822753906": 142, "92671775817871": 142, "3908089399337769": 142, "203690528869629": 142, "824243545532227": 142, "837909460067749": 142, "630897521972656": 142, "933610916137695": 142, "3693979978561401": 142, "014710426330566": 142, "809663772583008": 142, "610613822937012": 142, "029246171936392784": 142, "957399368286133": 142, "258917808532715": 142, "4151405096054077": 142, "016206741333008": 142, "623243808746338": 142, "778585910797119": 142, "92717742919922": 142, "222471237182617": 142, "129584312438965": 142, "869279861450195": 142, "613249778747559": 142, "62961483001709": 142, "93268394470215": 142, "267742156982422": 142, "793436050415039": 142, "02631187438965": 142, "459515571594238": 142, "009859830141067505": 142, "074122428894043": 142, "392336368560791": 142, "829504013061523": 142, "459882736206055": 142, "812354803085327": 142, "88222885131836": 142, "065927028656006": 142, "199601173400879": 142, "826078414916992": 142, "457776069641113": 142, "621528625488281": 142, "87852668762207": 142, "07000207901001": 142, "013947486877441": 142, "819185256958008": 142, "136239528656006": 142, "182852745056152": 142, "55040740966797": 142, "930013656616211": 142, "080007553100586": 142, "123186111450195": 142, "5412372946739197": 142, "1726257801055908": 142, "1602871417999268": 142, "151658058166504": 142, "1434457302093506": 142, "1348741054534912": 142, "1265645027160645": 142, "118346929550171": 142, "1102187633514404": 142, "1026160717010498": 142, "09488844871521": 142, "087240219116211": 142, "0794177055358887": 142, "0713024139404297": 142, "0635991096496582": 142, "0557301044464111": 142, "0480589866638184": 142, "0409607887268066": 142, "0340240001678467": 142, "0270237922668457": 142, "02036714553833": 142, "013953685760498": 142, "0076861381530762": 142, "0018165111541748": 142, "9959974884986877": 142, "9903067946434021": 142, "9847132563591003": 142, "9803861975669861": 142, "9751673340797424": 142, "9700763821601868": 142, "9651060700416565": 142, "9602436423301697": 142, "9554519057273865": 142, "9508224129676819": 142, "9462338089942932": 142, "9418202042579651": 142, "9375081658363342": 142, "9332330822944641": 142, "929252564907074": 142, "9252360463142395": 142, "9213123917579651": 142, "9174804091453552": 142, "913760244846344": 142, "9100989699363708": 142, "9065207839012146": 142, "9030917286872864": 142, "8996769785881042": 142, "8963398337364197": 142, "893083393573761": 142, "8899025321006775": 142, "8867958188056946": 142, "8837639689445496": 142, "8808061480522156": 142, "8779194951057434": 142, "875072181224823": 142, "8723282217979431": 142, "8696492314338684": 142, "8669427037239075": 142, "8644004464149475": 142, "861921489238739": 142, "8594600558280945": 142, "8573561310768127": 142, "8550620675086975": 142, "8530698418617249": 142, "8508941531181335": 142, "8488319516181946": 142, "8467690348625183": 142, "8447608351707458": 142, "8428074717521667": 142, "8407850861549377": 142, "8389365077018738": 142, "837136447429657": 142, "8353847861289978": 142, "8335317969322205": 142, "8318782448768616": 142, "8302678465843201": 142, "8287027478218079": 142, "8271782994270325": 142, "8256942629814148": 142, "8242493271827698": 142, "8228407502174377": 142, "82146817445755": 142, "8201296925544739": 142, "8188229203224182": 142, "8175457119941711": 142, "8162972331047058": 142, "8150873780250549": 142, "813729465007782": 142, "8126748204231262": 142, "8115182518959045": 142, "8103805184364319": 142, "809257447719574": 142, "8081480860710144": 142, "8070521950721741": 142, "8059664368629456": 142, "8048906922340393": 142, "8038244843482971": 142, "8028308749198914": 142, "8017790913581848": 142, "8007329106330872": 142, "7996947169303894": 142, "7986624836921692": 142, "7976382374763489": 142, "7966194748878479": 142, "7955518364906311": 142, "7945485711097717": 142, "793539822101593": 142, "7925533652305603": 142, "7915764451026917": 142, "7906093001365662": 142, "7897400259971619": 142, "7888620495796204": 142, "7879288792610168": 142, "7870907187461853": 142, "7861786484718323": 142, "7852782607078552": 142, "78438800573349": 142, "7834137082099915": 142, "7825440764427185": 142, "7816826701164246": 142, "7795252203941345": 142, "7786746621131897": 142, "7778300642967224": 142, "7769919037818909": 142, "7761602997779846": 142, "7753342986106873": 142, "7743543982505798": 142, "7735372185707092": 142, "7727221846580505": 142, "771911084651947": 142, "7711017727851868": 142, "7702931761741638": 142, "7694846987724304": 142, "7685701251029968": 142, "7677609324455261": 142, "7669509053230286": 142, "7661390900611877": 142, "7653248906135559": 142, "7645091414451599": 142, "7636894583702087": 142, "762866199016571": 142, "7620380520820618": 142, "7612059712409973": 142, "7603680491447449": 142, "759526789188385": 142, "7586780190467834": 142, "7577258944511414": 142, "7568637728691101": 142, "7559939026832581": 142, "7551171183586121": 142, "7542313933372498": 142, "7533373236656189": 142, "7519908547401428": 142, "7510793805122375": 142, "7501576542854309": 142, "7492279410362244": 142, "7482852339744568": 142, "7473466992378235": 142, "7463834881782532": 142, "7454105019569397": 142, "7444102168083191": 142, "7434137463569641": 142, "742489755153656": 142, "7414701581001282": 142, "7404382824897766": 142, "7393942475318909": 142, "7383379340171814": 142, "7372711300849915": 142, "7361912131309509": 142, "7351648211479187": 142, "7340639233589172": 142, "7329514622688293": 142, "7318275570869446": 142, "7306923270225525": 142, "7295463681221008": 142, "7283889651298523": 142, "727221667766571": 142, "7260441184043884": 142, "7248569130897522": 142, "7236602902412415": 142, "7224540114402771": 142, "721240222454071": 142, "72001713514328": 142, "71878582239151": 142, "7175460457801819": 142, "716298520565033": 142, "7150428891181946": 142, "7137799859046936": 142, "712508499622345": 142, "7112293839454651": 142, "7099425196647644": 142, "7086483836174011": 142, "7073438763618469": 142, "7060417532920837": 142, "7047227025032043": 142, "7033938765525818": 142, "7020552754402161": 142, "7007072567939758": 142, "6993491053581238": 142, "6979828476905823": 142, "6966072916984558": 142, "6952229142189026": 142, "6938297152519226": 142, "6924288868904114": 142, "6910200715065002": 142, "6896032691001892": 142, "6881796717643738": 142, "6867496371269226": 142, "685311496257782": 142, "6838683485984802": 142, "6824182868003845": 142, "6809621453285217": 142, "6795005202293396": 142, "6780350804328918": 142, "6765629649162292": 142, "6750862002372742": 142, "6736052632331848": 142, "6721201539039612": 142, "6704829335212708": 142, "6689900755882263": 142, "6674931645393372": 142, "6659920811653137": 142, "6644877791404724": 142, "6629794239997864": 142, "6614689230918884": 142, "6599530577659607": 142, "6584344506263733": 142, "6568654179573059": 142, "6538093686103821": 142, "6522760987281799": 142, "6507369875907898": 142, "6491941809654236": 142, "647646963596344": 142, "6460942625999451": 142, "6445373892784119": 142, "6429646611213684": 142, "6413972973823547": 142, "6398226618766785": 142, "6382439732551575": 142, "6377256512641907": 142, "636120617389679": 142, "6345112919807434": 142, "632896363735199": 142, "6312764286994934": 142, "6296501755714417": 142, "6280191540718079": 142, "6263816952705383": 142, "6247406601905823": 142, "6230961680412292": 142, "6214465498924255": 142, "6197943091392517": 142, "6181400418281555": 142, "6164841055870056": 142, "6153985857963562": 142, "6137420535087585": 142, "6122192740440369": 142, "6096978783607483": 142, "6080430150032043": 142, "6063887476921082": 142, "6047372221946716": 142, "6030877232551575": 142, "6014410853385925": 142, "599797785282135": 142, "5981594920158386": 142, "596524178981781": 142, "5948939919471741": 142, "5932676196098328": 142, "5916466116905212": 142, "590029776096344": 142, "5884184241294861": 142, "5868120789527893": 142, "5852096676826477": 142, "5836123824119568": 142, "5820185542106628": 142, "580430805683136": 142, "5788465142250061": 142, "5772672295570374": 142, "5756914019584656": 142, "5741190314292908": 142, "572552502155304": 142, "5709894299507141": 142, "5689260363578796": 142, "5673728585243225": 142, "5658251643180847": 142, "5642820000648499": 142, "5627439618110657": 142, "5612108111381531": 142, "5596835017204285": 142, "5581627488136292": 142, "556650698184967": 142, "555143415927887": 142, "553644597530365": 142, "5521535277366638": 142, "5506708025932312": 142, "5492424368858337": 142, "5469247698783875": 142, "5455506443977356": 142, "5441026091575623": 142, "5426650643348694": 142, "0015199827030301094": 142, "01074962504208088": 142, "006102410610765219": 142, "012572964653372765": 142, "021821074187755585": 142, "0829940214753151": 142, "0004411400586832315": 142, "017664074897766113": 142, "036126378923654556": 142, "009022802114486694": 142, "0035630138590931892": 142, "07863637804985046": 142, "013232509605586529": 142, "03788027539849281": 142, "004031046759337187": 142, "04195184260606766": 142, "008337156847119331": 142, "09638413786888123": 142, "01815476082265377": 142, "007796519435942173": 142, "0018600823823362589": 142, "014440408907830715": 142, "061730608344078064": 142, "08350487053394318": 142, "003857646370306611": 142, "021045129746198654": 142, "04417053610086441": 142, "0022036072332412004": 142, "018789827823638916": 142, "07830887287855148": 142, "025610271841287613": 142, "04010859131813049": 142, "0060106124728918076": 142, "0016978320199996233": 142, "12666408717632294": 142, "09427332133054733": 142, "008996954187750816": 142, "010200700722634792": 142, "028885476291179657": 142, "0063752178102731705": 142, "0202880147844553": 142, "08413591235876083": 142, "004433283116668463": 142, "00829949788749218": 142, "03228631988167763": 142, "005397740751504898": 142, "0026174825616180897": 142, "07849381864070892": 142, "005459974054247141": 142, "0020311647094786167": 142, "03284316509962082": 142, "006817241199314594": 142, "004569164011627436": 142, "09420476108789444": 142, "03389652445912361": 142, "27162715792655945": 142, "033661242574453354": 142, "01826632395386696": 142, "20929144322872162": 142, "26999977231025696": 142, "837855100631714": 142, "03459800034761429": 142, "9404296875": 142, "3884268999099731": 142, "4249954223632812": 142, "825777053833008": 142, "806187152862549": 142, "81129789352417": 142, "879261016845703": 142, "3893033266067505": 142, "214264392852783": 142, "82320213317871": 142, "826026678085327": 142, "656601905822754": 142, "932781219482422": 142, "3372944593429565": 142, "04932165145874": 142, "859678268432617": 142, "62458610534668": 142, "030464187264442444": 142, "955852508544922": 142, "211257457733154": 142, "4307016134262085": 142, "826175689697266": 142, "638418674468994": 142, "8169004917144775": 142, "891450881958008": 142, "199624538421631": 142, "185941219329834": 142, "804039001464844": 142, "619660377502441": 142, "670383453369141": 142, "967039108276367": 142, "9920194149017334": 142, "129462718963623": 142, "054981231689453": 142, "448433876037598": 142, "008442697115242481": 142, "905929565429688": 142, "05081844329834": 142, "4267339706420898": 142, "826492309570312": 142, "460500717163086": 142, "8187665939331055": 142, "881725311279297": 142, "0538482666015625": 142, "210395336151123": 142, "81707191467285": 142, "444817543029785": 142, "649415969848633": 142, "906639099121094": 142, "096930503845215": 142, "064301013946533": 142, "92411231994629": 142, "065181255340576": 142, "795429229736328": 142, "72826385498047": 142, "974604606628418": 142, "565486907958984": 142, "33702278137207": 142, "7797001004219055": 142, "4398388862609863": 142, "4256341457366943": 142, "4161858558654785": 142, "4067153930664062": 142, "3974225521087646": 142, "388639211654663": 142, "379899024963379": 142, "3713457584381104": 142, "363041877746582": 142, "3551156520843506": 142, "3476507663726807": 142, "3399815559387207": 142, "3324925899505615": 142, "3251457214355469": 142, "3180105686187744": 142, "3110039234161377": 142, "3039793968200684": 142, "2975695133209229": 142, "2907168865203857": 142, "2840795516967773": 142, "2775518894195557": 142, "2711329460144043": 142, "264707326889038": 142, "2584338188171387": 142, "252241611480713": 142, "246079921722412": 142, "2400405406951904": 142, "2342138290405273": 142, "2283222675323486": 142, "2225008010864258": 142, "216752290725708": 142, "2108526229858398": 142, "2051112651824951": 142, "199568271636963": 142, "1940855979919434": 142, "1886649131774902": 142, "1833081245422363": 142, "1780107021331787": 142, "1726398468017578": 142, "1673822402954102": 142, "1622648239135742": 142, "1572027206420898": 142, "152200698852539": 142, "1472499370574951": 142, "1418976783752441": 142, "1370551586151123": 142, "1322660446166992": 142, "1276910305023193": 142, "1184165477752686": 142, "1139192581176758": 142, "1093990802764893": 142, "104928731918335": 142, "1005091667175293": 142, "0961391925811768": 142, "0919666290283203": 142, "0876953601837158": 142, "0834736824035645": 142, "0793020725250244": 142, "0751781463623047": 142, "0711023807525635": 142, "0670747756958008": 142, "0630948543548584": 142, "0591638088226318": 142, "0552797317504883": 142, "0514423847198486": 142, "0476529598236084": 142, "0439090728759766": 142, "0402123928070068": 142, "0365619659423828": 142, "032959222793579": 142, "0294005870819092": 142, "0258889198303223": 142, "0224218368530273": 142, "0190019607543945": 142, "0156257152557373": 142, "0122950077056885": 142, "0090081691741943": 142, "0057661533355713": 142, "0025675296783447": 142, "9994152188301086": 142, "9963286519050598": 142, "9932606816291809": 142, "9902364611625671": 142, "9872531294822693": 142, "9843141436576843": 142, "9814165234565735": 142, "9785630106925964": 142, "9759336113929749": 142, "9731655716896057": 142, "9704368710517883": 142, "9677489399909973": 142, "9652199149131775": 142, "9626126885414124": 142, "9600440859794617": 142, "9575151801109314": 142, "955024778842926": 142, "9525631070137024": 142, "9501486420631409": 142, "9477718472480774": 142, "9453774094581604": 142, "9430738091468811": 142, "9407934546470642": 142, "9385578036308289": 142, "9363577961921692": 142, "930679976940155": 142, "9285946488380432": 142, "9265443682670593": 142, "9245250821113586": 142, "9225384593009949": 142, "9205836653709412": 142, "9186611771583557": 142, "9168218970298767": 142, "9149617552757263": 142, "9131315350532532": 142, "9113339781761169": 142, "9095651507377625": 142, "9078264832496643": 142, "9061159491539001": 142, "9044343829154968": 142, "903014600276947": 142, "9013893008232117": 142, "8997897505760193": 142, "8981396555900574": 142, "8965927958488464": 142, "8950986266136169": 142, "8936023116111755": 142, "8921307921409607": 142, "8906092047691345": 142, "8891844153404236": 142, "8877812027931213": 142, "8864009976387024": 142, "8850414156913757": 142, "8837026953697205": 142, "882383406162262": 142, "8810381293296814": 142, "8797211050987244": 142, "8784647583961487": 142, "877496063709259": 142, "8762796521186829": 142, "8751047253608704": 142, "8739228844642639": 142, "8727571368217468": 142, "8716080784797668": 142, "8704754710197449": 142, "869346559047699": 142, "868245542049408": 142, "8671157956123352": 142, "8660460114479065": 142, "8649913668632507": 142, "8639524579048157": 142, "8629283308982849": 142, "8619193434715271": 142, "8599458336830139": 142, "8589798808097839": 142, "8580284714698792": 142, "8570912480354309": 142, "8561676144599915": 142, "8552575707435608": 142, "8543189167976379": 142, "8534371256828308": 142, "8525674939155579": 142, "8517116904258728": 142, "8508687615394592": 142, "8500390648841858": 142, "8494579195976257": 142, "8486495614051819": 142, "8478537201881409": 142, "8470705151557922": 142, "846264660358429": 142, "8455055356025696": 142, "8446474671363831": 142, "8439105153083801": 142, "8431870341300964": 142, "8424726128578186": 142, "8417697548866272": 142, "8409691452980042": 142, "8402885794639587": 142, "8396167159080505": 142, "8389549851417542": 142, "8383025527000427": 142, "8375521302223206": 142, "8369200825691223": 142, "8362968564033508": 142, "8356835246086121": 142, "8350791335105896": 142, "8344828486442566": 142, "8338949084281921": 142, "8333160281181335": 142, "8325830101966858": 142, "831978976726532": 142, "8314229846000671": 142, "8308739066123962": 142, "8303311467170715": 142, "8297958970069885": 142, "8293765187263489": 142, "8288547396659851": 142, "8283389210700989": 142, "8278287053108215": 142, "8273244500160217": 142, "8268253207206726": 142, "8263296484947205": 142, "8258392214775085": 142, "8254044651985168": 142, "8249252438545227": 142, "8244488835334778": 142, "8240246176719666": 142, "8236033320426941": 142, "8231391310691833": 142, "8227344155311584": 142, "8214775919914246": 142, "821018397808075": 142, "8205620646476746": 142, "8201078772544861": 142, "8196569085121155": 142, "8191947340965271": 142, "8187511563301086": 142, "8183097243309021": 142, "8178707957267761": 142, "8174353241920471": 142, "81700199842453": 142, "8165709376335144": 142, "8158336281776428": 142, "815409243106842": 142, "8149409890174866": 142, "8145250678062439": 142, "8141078352928162": 142, "8136935830116272": 142, "8132811188697815": 142, "8128706812858582": 142, "8124614357948303": 142, "8120537400245667": 142, "811647355556488": 142, "8112415671348572": 142, "8107721209526062": 142, "8103707432746887": 142, "8099691271781921": 142, "8095681071281433": 142, "8091660141944885": 142, "8087639212608337": 142, "8083613514900208": 142, "8079580664634705": 142, "80743807554245": 142, "8070307374000549": 142, "806623637676239": 142, "8062155842781067": 142, "8058057427406311": 142, "8053951859474182": 142, "8049816489219666": 142, "8045673966407776": 142, "8041498064994812": 142, "803806722164154": 142, "8033842444419861": 142, "8029605746269226": 142, "802534282207489": 142, "8021063208580017": 142, "8016758561134338": 142, "8012420535087585": 142, "8008068203926086": 142, "8003670573234558": 142, "7999259829521179": 142, "7994807362556458": 142, "7990338206291199": 142, "7985829710960388": 142, "7981285452842712": 142, "7976704239845276": 142, "7972094416618347": 142, "7962828278541565": 142, "7958107590675354": 142, "7953347563743591": 142, "7948556542396545": 142, "7944521307945251": 142, "793963611125946": 142, "7934688925743103": 142, "7929725050926208": 142, "79246586561203": 142, "7919530272483826": 142, "7914358973503113": 142, "7909125685691833": 142, "7904507517814636": 142, "789777934551239": 142, "7892341017723083": 142, "7886852622032166": 142, "7881298661231995": 142, "7875681519508362": 142, "7870002388954163": 142, "7864266037940979": 142, "7858465313911438": 142, "785260021686554": 142, "7846677899360657": 142, "7840682864189148": 142, "7834621071815491": 142, "7828508019447327": 142, "7822323441505432": 142, "7816091179847717": 142, "7809780240058899": 142, "7803418040275574": 142, "03296034038066864": 142, "023171382024884224": 142, "005354305729269981": 142, "0028934304136782885": 142, "007807677146047354": 142, "07328234612941742": 142, "005220260936766863": 142, "003531499532982707": 142, "034182108938694": 142, "0008678121375851333": 142, "007164044305682182": 142, "07537803053855896": 142, "025289159268140793": 142, "010750592686235905": 142, "002401132369413972": 142, "0019262494752183557": 142, "00029946077847853303": 142, "07425250858068466": 142, "010061795823276043": 142, "006602335721254349": 142, "01617787592113018": 142, "0004356937715783715": 142, "013465163297951221": 142, "10111735016107559": 142, "0069900755770504475": 142, "0013927886029705405": 142, "028856882825493813": 142, "00022807676577940583": 142, "04249903932213783": 142, "1037418320775032": 142, "015078412368893623": 142, "00021244004892650992": 142, "008400349877774715": 142, "09272512793540955": 142, "005722407717257738": 142, "00802802387624979": 142, "01690359227359295": 142, "006859221961349249": 142, "03767325356602669": 142, "015788022428750992": 142, "01863275282084942": 142, "08498483151197433": 142, "009792624972760677": 142, "0015671491855755448": 142, "03104037418961525": 142, "017726628109812737": 142, "014428725466132164": 142, "08581998944282532": 142, "0112489964812994": 142, "0008916337974369526": 142, "02784893848001957": 142, "1212824359536171": 142, "02108553610742092": 142, "08157844096422195": 142, "2781796455383301": 142, "1442037969827652": 142, "03714079037308693": 142, "04538806155323982": 142, "09365325421094894": 142, "2626604437828064": 142, "8317477703094482": 142, "028104983270168304": 142, "88168716430664": 142, "415479063987732": 142, "3997492790222168": 142, "836511611938477": 142, "7908544540405273": 142, "869502305984497": 142, "957300186157227": 142, "629944920539856": 142, "206513404846191": 142, "056095123291016": 142, "816483736038208": 142, "64113187789917": 142, "923675537109375": 142, "438300609588623": 142, "105072498321533": 142, "801836013793945": 142, "641038417816162": 142, "01274450309574604": 142, "883384704589844": 142, "241691589355469": 142, "4126582145690918": 142, "830448150634766": 142, "648085117340088": 142, "8416402339935303": 142, "913331985473633": 142, "291839599609375": 142, "255237579345703": 142, "861618041992188": 142, "657121181488037": 142, "644345283508301": 142, "906545639038086": 142, "247226238250732": 142, "086861610412598": 142, "821083068847656": 142, "462985038757324": 142, "015246729366481304": 142, "89227867126465": 142, "043420791625977": 142, "4094643592834473": 142, "827486038208008": 142, "474456787109375": 142, "8585755825042725": 142, "95960807800293": 142, "0135111808776855": 142, "251388072967529": 142, "92766761779785": 142, "484579086303711": 142, "622725486755371": 142, "95998764038086": 142, "052163124084473": 142, "088987827301025": 142, "8172664642334": 142, "5059266686439514": 142, "389888763427734": 142, "721654891967773": 142, "5642970204353333": 142, "358572959899902": 142, "890058517456055": 142, "7322668433189392": 142, "4733684062957764": 142, "4618217945098877": 142, "4505627155303955": 142, "439011573791504": 142, "4280946254730225": 142, "417992353439331": 142, "4082889556884766": 142, "3986105918884277": 142, "3902814388275146": 142, "3815553188323975": 142, "3728053569793701": 142, "3645243644714355": 142, "356889247894287": 142, "3490703105926514": 142, "3415331840515137": 142, "3338673114776611": 142, "3262219429016113": 142, "3187274932861328": 142, "3113734722137451": 142, "3039429187774658": 142, "2967140674591064": 142, "2896230220794678": 142, "2825031280517578": 142, "275578260421753": 142, "2687361240386963": 142, "2619044780731201": 142, "255225419998169": 142, "2486166954040527": 142, "2421073913574219": 142, "2357549667358398": 142, "2293593883514404": 142, "2230324745178223": 142, "2167706489562988": 142, "2104978561401367": 142, "2043633460998535": 142, "1982903480529785": 142, "1922779083251953": 142, "1863253116607666": 142, "1804289817810059": 142, "174588680267334": 142, "1688098907470703": 142, "1629340648651123": 142, "1572742462158203": 142, "1516757011413574": 142, "1461379528045654": 142, "1406559944152832": 142, "1352322101593018": 142, "1299686431884766": 142, "1245441436767578": 142, "1192965507507324": 142, "1140856742858887": 142, "1089589595794678": 142, "1040306091308594": 142, "0990269184112549": 142, "0941085815429688": 142, "089217185974121": 142, "084385633468628": 142, "079613447189331": 142, "0748991966247559": 142, "070244550704956": 142, "065633773803711": 142, "0566127300262451": 142, "0521912574768066": 142, "0476067066192627": 142, "043255090713501": 142, "0390095710754395": 142, "0345776081085205": 142, "0304508209228516": 142, "025972604751587": 142, "0219073295593262": 142, "01796293258667": 142, "0140745639801025": 142, "010244369506836": 142, "006518840789795": 142, "002805471420288": 142, "9991491436958313": 142, "9957812428474426": 142, "9922084212303162": 142, "9887275099754333": 142, "9852411150932312": 142, "981876790523529": 142, "9785692095756531": 142, "9753182530403137": 142, "9723696112632751": 142, "9689140915870667": 142, "9658306241035461": 142, "9628035426139832": 142, "9598329663276672": 142, "9569206833839417": 142, "9540939927101135": 142, "9512885212898254": 142, "9482032656669617": 142, "9453428387641907": 142, "9426924586296082": 142, "9401080012321472": 142, "9375765919685364": 142, "935097873210907": 142, "9326723217964172": 142, "9302977919578552": 142, "9279763102531433": 142, "9257046580314636": 142, "923484742641449": 142, "9213741421699524": 142, "9192566275596619": 142, "9171869158744812": 142, "9151366353034973": 142, "9131595492362976": 142, "9119774699211121": 142, "9100516438484192": 142, "9081947207450867": 142, "9066135287284851": 142, "9049182534217834": 142, "9032061696052551": 142, "9015354514122009": 142, "899900496006012": 142, "898304283618927": 142, "8967460989952087": 142, "8952208161354065": 142, "8937311768531799": 142, "8922737240791321": 142, "8908931612968445": 142, "8894974589347839": 142, "8882016539573669": 142, "8868628144264221": 142, "8854792714118958": 142, "8842015862464905": 142, "8829516768455505": 142, "8816576600074768": 142, "8804629445075989": 142, "8792963624000549": 142, "8787156939506531": 142, "8776039481163025": 142, "8765212893486023": 142, "8754652142524719": 142, "8744356036186218": 142, "8734317421913147": 142, "8724529147148132": 142, "8714972138404846": 142, "8705647587776184": 142, "8696562647819519": 142, "8691627383232117": 142, "8682982325553894": 142, "8674879670143127": 142, "8666611313819885": 142, "8658531308174133": 142, "8650646805763245": 142, "8642919659614563": 142, "8635371327400208": 142, "8627976775169373": 142, "8620739579200745": 142, "8613665699958801": 142, "8606703877449036": 142, "8599888682365417": 142, "8593201041221619": 142, "8586637377738953": 142, "8580178618431091": 142, "8573828339576721": 142, "8567587733268738": 142, "8561442494392395": 142, "8555379509925842": 142, "8549410700798035": 142, "8543532490730286": 142, "8538156151771545": 142, "8532431721687317": 142, "8526760935783386": 142, "8521166443824768": 142, "851563036441803": 142, "8510145545005798": 142, "8504701256752014": 142, "8499316573143005": 142, "8493973612785339": 142, "8488655686378479": 142, "8483368754386902": 142, "8476956486701965": 142, "847173273563385": 142, "8466525673866272": 142, "845370352268219": 142, "8449839949607849": 142, "844466507434845": 142, "8440782427787781": 142, "8435582518577576": 142, "8430376648902893": 142, "8425137400627136": 142, "8419880270957947": 142, "8416083455085754": 142, "8410760760307312": 142, "8405389189720154": 142, "8399986624717712": 142, "8397098183631897": 142, "839191734790802": 142, "83863765001297": 142, "8380772471427917": 142, "8375101685523987": 142, "8369364142417908": 142, "836355984210968": 142, "8357687592506409": 142, "8351730704307556": 142, "8345707058906555": 142, "8339603543281555": 142, "8333423733711243": 142, "8327162861824036": 142, "832034170627594": 142, "8313948512077332": 142, "8307469487190247": 142, "8300896286964417": 142, "8295746445655823": 142, "8288965821266174": 142, "8282107710838318": 142, "8275169730186462": 142, "8268159031867981": 142, "8261048197746277": 142, "825386106967926": 142, "8246600031852722": 142, "8239261507987976": 142, "8231827616691589": 142, "8224332928657532": 142, "8216754794120789": 142, "8209103941917419": 142, "8200415968894958": 142, "8192638754844666": 142, "8184803128242493": 142, "8176882863044739": 142, "8168894648551941": 142, "8160830140113831": 142, "8152691721916199": 142, "8144484162330627": 142, "8136202692985535": 142, "8127850890159607": 142, "8119423985481262": 142, "8110917210578918": 142, "8102326989173889": 142, "8093661665916443": 142, "8084929585456848": 142, "8076110482215881": 142, "8067204356193542": 142, "8058214783668518": 142, "8049156069755554": 142, "8040017485618591": 142, "803080141544342": 142, "8021510243415833": 142, "8012129664421082": 142, "8002682328224182": 142, "7993150353431702": 142, "7983546853065491": 142, "7973870635032654": 142, "7964116930961609": 142, "7954296469688416": 142, "7944417595863342": 142, "7934470772743225": 142, "7924463152885437": 142, "7914389967918396": 142, "7904265522956848": 142, "7892504334449768": 142, "7882245182991028": 142, "7871930003166199": 142, "7861554026603699": 142, "7851126790046692": 142, "7840630412101746": 142, "7830079197883606": 142, "7819461226463318": 142, "7808780074119568": 142, "7798036932945251": 142, "7787219882011414": 142, "7776338458061218": 142, "7765389084815979": 142, "7754347920417786": 142, "7743242383003235": 142, "7732067704200745": 142, "77208012342453": 142, "7709454894065857": 142, "7698021531105042": 142, "7686498761177063": 142, "7677993178367615": 142, "7666476368904114": 142, "7654682993888855": 142, "764279305934906": 142, "7630800604820251": 142, "7618698477745056": 142, "7606510519981384": 142, "7594223618507385": 142, "7581842541694641": 142, "7569356560707092": 142, "7556765675544739": 142, "7544087767601013": 142, "7517566084861755": 142, "7504777312278748": 142, "7491925358772278": 142, "7478966116905212": 142, "7465906739234924": 142, "74527508020401": 142, "7432844042778015": 142, "7419481873512268": 142, "7406004071235657": 142, "7392405867576599": 142, "7378692030906677": 142, "7364879250526428": 142, "7350923418998718": 142, "7336856722831726": 142, "0015474500833079219": 142, "03615327179431915": 142, "02870682068169117": 142, "020920686423778534": 142, "004384658765047789": 142, "05927732214331627": 142, "08576873689889908": 142, "07146809250116348": 142, "06856492161750793": 142, "024498382583260536": 142, "022251084446907043": 142, "1840888410806656": 142, "02197607234120369": 142, "015027638524770737": 142, "02091376669704914": 142, "006061092484742403": 142, "0887850672006607": 142, "12145326286554337": 142, "010005230084061623": 142, "007741629146039486": 142, "028723688796162605": 142, "005657596979290247": 142, "0021733909379690886": 142, "0724259465932846": 142, "04225524514913559": 142, "006896920967847109": 142, "038410529494285583": 142, "03593052178621292": 142, "018243232741951942": 142, "07499450445175171": 142, "027116622775793076": 142, "0125388503074646": 142, "039753541350364685": 142, "0007900384953245521": 142, "014746465720236301": 142, "08337302505970001": 142, "01180204190313816": 142, "01706560142338276": 142, "031044652685523033": 142, "01852530427277088": 142, "0028986860997974873": 142, "07694538682699203": 142, "006902527529746294": 142, "022538868710398674": 142, "00014048669254407287": 142, "11127713322639465": 142, "010994983837008476": 142, "15781693160533905": 142, "005928378086537123": 142, "0011360782664269209": 142, "006446633022278547": 142, "02328728884458542": 142, "021658984944224358": 142, "09682251513004303": 142, "26824435591697693": 142, "06994383782148361": 142, "2532329857349396": 142, "21039022505283356": 142, "08339839428663254": 142, "15441124141216278": 142, "781541109085083": 142, "007870764471590519": 142, "966299057006836": 142, "3481179475784302": 142, "4669779539108276": 142, "019996643066406": 142, "7716147899627686": 142, "787566661834717": 142, "973228454589844": 142, "373676061630249": 142, "195589065551758": 142, "89288902282715": 142, "7676658630371094": 142, "6566691398620605": 142, "975616455078125": 142, "3872305154800415": 142, "899613380432129": 142, "013519287109375": 142, "0015950588276609778": 142, "903139114379883": 142, "2220458984375": 142, "402106523513794": 142, "86080551147461": 142, "610413074493408": 142, "826103925704956": 142, "8968505859375": 142, "227174758911133": 142, "219475269317627": 142, "85958480834961": 142, "60724401473999": 142, "628598690032959": 142, "895198822021484": 142, "226475715637207": 142, "045073509216309": 142, "859472274780273": 142, "466141700744629": 142, "012253711931407452": 142, "95829963684082": 142, "98221492767334": 142, "4270648956298828": 142, "828229904174805": 142, "454319953918457": 142, "8043453693389893": 142, "9262638092041": 142, "019130229949951": 142, "223381996154785": 142, "849700927734375": 142, "451284408569336": 142, "635704517364502": 142, "924551010131836": 142, "974784851074219": 142, "02153205871582": 142, "822696685791016": 142, "06615149974823": 142, "363397598266602": 142, "510313034057617": 142, "09238719195127487": 142, "289615631103516": 142, "683256149291992": 142, "4966948628425598": 142, "761483907699585": 142, "7476766109466553": 142, "736936092376709": 142, "7261748313903809": 142, "7153375148773193": 142, "7046401500701904": 142, "6942265033721924": 142, "6849777698516846": 142, "6759850978851318": 142, "6676397323608398": 142, "6598753929138184": 142, "6527197360992432": 142, "6453757286071777": 142, "6386535167694092": 142, "631929636001587": 142, "625758171081543": 142, "6197710037231445": 142, "613006591796875": 142, "6075160503387451": 142, "6018893718719482": 142, "5964021682739258": 142, "591005563735962": 142, "5857925415039062": 142, "5805232524871826": 142, "5753247737884521": 142, "5701844692230225": 142, "5650997161865234": 142, "5594851970672607": 142, "5544891357421875": 142, "5496094226837158": 142, "5439536571502686": 142, "5390193462371826": 142, "5341448783874512": 142, "5292863845825195": 142, "5244414806365967": 142, "5196096897125244": 142, "5147876739501953": 142, "5099713802337646": 142, "5050251483917236": 142, "5001118183135986": 142, "4953062534332275": 142, "4905023574829102": 142, "4856953620910645": 142, "480790376663208": 142, "4760069847106934": 142, "4711940288543701": 142, "4663763046264648": 142, "4615559577941895": 142, "4567277431488037": 142, "4518511295318604": 142, "447007179260254": 142, "4421558380126953": 142, "4372916221618652": 142, "4324169158935547": 142, "4275317192077637": 142, "4226326942443848": 142, "4177231788635254": 142, "4128012657165527": 142, "4078905582427979": 142, "4023056030273438": 142, "3973472118377686": 142, "392374038696289": 142, "387291669845581": 142, "382331371307373": 142, "3772366046905518": 142, "372206687927246": 142, "3671903610229492": 142, "3621270656585693": 142, "3570520877838135": 142, "3519620895385742": 142, "3468618392944336": 142, "3417494297027588": 142, "3366212844848633": 142, "3314814567565918": 142, "3263273239135742": 142, "3210804462432861": 142, "31589937210083": 142, "3107075691223145": 142, "3055016994476318": 142, "3002829551696777": 142, "295050859451294": 142, "2897887229919434": 142, "284531831741333": 142, "279261589050293": 142, "2739806175231934": 142, "2686846256256104": 142, "2632474899291992": 142, "2579262256622314": 142, "2525954246520996": 142, "247490644454956": 142, "2421457767486572": 142, "236785650253296": 142, "2314186096191406": 142, "2260973453521729": 142, "2153139114379883": 142, "209913969039917": 142, "2045080661773682": 142, "1990985870361328": 142, "1936872005462646": 142, "1882719993591309": 142, "182856559753418": 142, "1774396896362305": 142, "1720213890075684": 142, "166602373123169": 142, "1611852645874023": 142, "155771017074585": 142, "1506695747375488": 142, "145263433456421": 142, "1398632526397705": 142, "1344678401947021": 142, "1290533542633057": 142, "1236763000488281": 142, "1183114051818848": 142, "1129529476165771": 142, "1076078414916992": 142, "1022768020629883": 142, "0969595909118652": 142, "0916626453399658": 142, "0863738059997559": 142, "0811002254486084": 142, "0758450031280518": 142, "0706067085266113": 142, "0653870105743408": 142, "0601832866668701": 142, "0550036430358887": 142, "0501446723937988": 142, "0450899600982666": 142, "0399706363677979": 142, "0348694324493408": 142, "0297880172729492": 142, "0247275829315186": 142, "0196905136108398": 142, "0146746635437012": 142, "009681224822998": 142, "0047097206115723": 142, "9997608065605164": 142, "9948325753211975": 142, "9899298548698425": 142, "9850487112998962": 142, "9801903367042542": 142, "9753525853157043": 142, "9705403447151184": 142, "9657543301582336": 142, "9609968066215515": 142, "9562665820121765": 142, "9515582919120789": 142, "9468836188316345": 142, "9422306418418884": 142, "9376044869422913": 142, "933000385761261": 142, "9284207224845886": 142, "9238654971122742": 142, "9193313717842102": 142, "9148228764533997": 142, "9103365540504456": 142, "9058728814125061": 142, "9014315009117126": 142, "8970118165016174": 142, "8921055197715759": 142, "88773113489151": 142, "8833755850791931": 142, "8790028691291809": 142, "874694287776947": 142, "8704048991203308": 142, "8661389946937561": 142, "8618951439857483": 142, "8576726317405701": 142, "854031503200531": 142, "8498712182044983": 142, "8457316756248474": 142, "8416109681129456": 142, "8375152945518494": 142, "8334385752677917": 142, "8293840289115906": 142, "8253516554832458": 142, "8212420344352722": 142, "8172556757926941": 142, "8132911324501038": 142, "8093481659889221": 142, "8054271340370178": 142, "8015280365943909": 142, "7976496815681458": 142, "793826162815094": 142, "7902522683143616": 142, "7864440083503723": 142, "7826979756355286": 142, "7789310812950134": 142, "7751850485801697": 142, "771461546421051": 142, "7677550911903381": 142, "7640722393989563": 142, "760409414768219": 142, "7567682862281799": 142, "7531481385231018": 142, "7495490908622742": 142, "7459704279899597": 142, "7424127459526062": 142, "7388758063316345": 142, "7348793148994446": 142, "7313874363899231": 142, "7279160618782043": 142, "7244663834571838": 142, "7210375666618347": 142, "7173739075660706": 142, "7139859795570374": 142, "7106186747550964": 142, "7072760462760925": 142, "7039547562599182": 142, "7006562352180481": 142, "697380006313324": 142, "6941260695457458": 142, "6908959746360779": 142, "6876888871192932": 142, "6845043301582336": 142, "6812900900840759": 142, "6750416159629822": 142, "6719533801078796": 142, "6688877940177917": 142, "665844738483429": 142, "6628275513648987": 142, "6598343253135681": 142, "6568753123283386": 142, "653927743434906": 142, "6510029435157776": 142, "648104727268219": 142, "6452286839485168": 142, "6423773169517517": 142, "6395485997200012": 142, "6367451548576355": 142, "6339642405509949": 142, "6312077641487122": 142, "628473699092865": 142, "6257620453834534": 142, "6230763792991638": 142, "6204124093055725": 142, "617773711681366": 142, "6156631112098694": 142, "6130692362785339": 142, "6104963421821594": 142, "6079460978507996": 142, "6054171919822693": 142, "602912962436676": 142, "6004272103309631": 142, "5979649424552917": 142, "5955244898796082": 142, "5931045413017273": 142, "5907081961631775": 142, "5883330702781677": 142, "5859804749488831": 142, "583648145198822": 142, "5812048316001892": 142, "5789211392402649": 142, "5766586661338806": 142, "5744181275367737": 142, "5721692442893982": 142, "5699716210365295": 142, "5677945017814636": 142, "5654687285423279": 142, "5633317828178406": 142, "5612199902534485": 142, "5591287016868591": 142, "5570618510246277": 142, "5550174117088318": 142, "5529957413673401": 142, "5509985089302063": 142, "5490216612815857": 142, "5470699667930603": 142, "5451413989067078": 142, "5432363152503967": 142, "5413530468940735": 142, "5394951701164246": 142, "536942183971405": 142, "5351071953773499": 142, "5332984328269958": 142, "5315113663673401": 142, "5297500491142273": 142, "5280113816261292": 142, "5262954831123352": 142, "5246030688285828": 142, "5229344964027405": 142, "5212878584861755": 142, "5196585059165955": 142, "5178520083427429": 142, "5162718892097473": 142, "5147122740745544": 142, "5135249495506287": 142, "5120074152946472": 142, "5105099081993103": 142, "5090354084968567": 142, "5075826048851013": 142, "5061498284339905": 142, "5047374367713928": 142, "5033466219902039": 142, "5019757151603699": 142, "5006255507469177": 142, "49929529428482056": 142, "49798470735549927": 142, "015380305238068104": 142, "007131528574973345": 142, "003923308569937944": 142, "0035101009998470545": 142, "0003089715028181672": 142, "01197331864386797": 142, "008076394908130169": 142, "005304089281708002": 142, "03847074881196022": 142, "00978772435337305": 142, "739903619745746e": 142, "02286507561802864": 142, "0379345528781414": 142, "05435077100992203": 142, "07920415699481964": 142, "0026407423429191113": 142, "03347862884402275": 142, "02832191064953804": 142, "0017157059628516436": 142, "007667472120374441": 142, "004944042302668095": 142, "012037167325615883": 142, "000673026661388576": 142, "011333589442074299": 142, "0017011503223329782": 142, "007710693404078484": 142, "014142018742859364": 142, "013911830261349678": 142, "003314695553854108": 142, "015351302921772003": 142, "0029308295343071222": 142, "004569684155285358": 142, "021107599139213562": 142, "010857190936803818": 142, "018644487485289574": 142, "007721676491200924": 142, "007960543967783451": 142, "007768501993268728": 142, "006476833019405603": 142, "035621482878923416": 142, "043974488973617554": 142, "04128976911306381": 142, "0021396123338490725": 142, "014131292700767517": 142, "004168270621448755": 142, "024127207696437836": 142, "00010658802784746513": 142, "007943660952150822": 142, "00825592316687107": 142, "005785647314041853": 142, "011193600483238697": 142, "08026805520057678": 142, "023460628464818": 142, "038577061146497726": 142, "1486819088459015": 142, "03602772206068039": 142, "13042517006397247": 142, "27627015113830566": 142, "18668906390666962": 142, "09176411479711533": 142, "7896485328674316": 142, "010527921840548515": 142, "4121378660202026": 142, "4099830389022827": 142, "85780143737793": 142, "7918541431427": 142, "8102235794067383": 142, "890195846557617": 142, "405523419380188": 142, "227421760559082": 142, "854562759399414": 142, "8001203536987305": 142, "642152309417725": 142, "899860382080078": 142, "4091696739196777": 142, "047973155975342": 142, "86319351196289": 142, "632621765136719": 142, "006514898966997862": 142, "920438766479492": 142, "201927185058594": 142, "4121893644332886": 142, "850175857543945": 142, "627927780151367": 142, "815721035003662": 142, "911170959472656": 142, "152444839477539": 142, "1958723068237305": 142, "80767250061035": 142, "644401550292969": 142, "646121501922607": 142, "95589256286621": 142, "153148651123047": 142, "093297481536865": 142, "80962562561035": 142, "422471046447754": 142, "0213419608771801": 142, "961843490600586": 142, "018040657043457": 142, "404312014579773": 142, "88054656982422": 142, "425936698913574": 142, "8273699283599854": 142, "945945739746094": 142, "068072319030762": 142, "1013641357421875": 142, "924104690551758": 142, "437789916992188": 142, "643685817718506": 142, "94395637512207": 142, "083362102508545": 142, "1754279136657715": 142, "98578643798828": 142, "605105876922607": 142, "60150146484375": 142, "371294021606445": 142, "222336769104004": 142, "528610706329346": 142, "13063621520996": 142, "5441247820854187": 142, "8283593654632568": 142, "8065862655639648": 142, "7910966873168945": 142, "7764005661010742": 142, "762058973312378": 142, "7478139400482178": 142, "733616590499878": 142, "7195770740509033": 142, "706261157989502": 142, "6933608055114746": 142, "6811919212341309": 142, "669464111328125": 142, "6577491760253906": 142, "6469368934631348": 142, "6364169120788574": 142, "6261751651763916": 142, "616692304611206": 142, "6070489883422852": 142, "5976722240447998": 142, "5885004997253418": 142, "5795273780822754": 142, "5708460807800293": 142, "562401533126831": 142, "554140329360962": 142, "5460634231567383": 142, "5381605625152588": 142, "53041672706604": 142, "5228266716003418": 142, "5153779983520508": 142, "5080633163452148": 142, "5008773803710938": 142, "4938092231750488": 142, "4868528842926025": 142, "480074405670166": 142, "4733226299285889": 142, "4666624069213867": 142, "4600913524627686": 142, "4536070823669434": 142, "4471485614776611": 142, "4408149719238281": 142, "4344255924224854": 142, "42822265625": 142, "42207932472229": 142, "415989637374878": 142, "4099509716033936": 142, "403958797454834": 142, "398012638092041": 142, "392108678817749": 142, "3852734565734863": 142, "3794524669647217": 142, "3736679553985596": 142, "3679172992706299": 142, "3622756004333496": 142, "3565843105316162": 142, "350919485092163": 142, "3452796936035156": 142, "3395612239837646": 142, "3339686393737793": 142, "3284022808074951": 142, "3228611946105957": 142, "3173449039459229": 142, "3118512630462646": 142, "3063788414001465": 142, "3009281158447266": 142, "2952079772949219": 142, "2897894382476807": 142, "2843897342681885": 142, "2790112495422363": 142, "2734365463256836": 142, "268099308013916": 142, "2627785205841064": 142, "2574748992919922": 142, "252187728881836": 142, "246917724609375": 142, "2416622638702393": 142, "2364239692687988": 142, "2311973571777344": 142, "2259883880615234": 142, "2207903861999512": 142, "215606927871704": 142, "210434913635254": 142, "2052772045135498": 142, "2001311779022217": 142, "1949999332427979": 142, "190014362335205": 142, "184915542602539": 142, "1799335479736328": 142, "1748597621917725": 142, "1697978973388672": 142, "1647474765777588": 142, "1597094535827637": 142, "15468430519104": 142, "1496710777282715": 142, "1446702480316162": 142, "1396846771240234": 142, "1347074508666992": 142, "1297428607940674": 142, "1247899532318115": 142, "1198492050170898": 142, "1149206161499023": 142, "1100034713745117": 142, "1051006317138672": 142, "1002085208892822": 142, "0953290462493896": 142, "0904591083526611": 142, "0856032371520996": 142, "080683946609497": 142, "071033239364624": 142, "0662274360656738": 142, "0614345073699951": 142, "0566506385803223": 142, "051882028579712": 142, "0471251010894775": 142, "0423805713653564": 142, "0376479625701904": 142, "0331594944000244": 142, "0284514427185059": 142, "0237560272216797": 142, "0190739631652832": 142, "0143358707427979": 142, "0096805095672607": 142, "0050396919250488": 142, "000410556793213": 142, "995794951915741": 142, "9911903738975525": 142, "9866006970405579": 142, "9820243716239929": 142, "9774631857872009": 142, "9729166626930237": 142, "9683859944343567": 142, "963869035243988": 142, "9593679308891296": 142, "9548831582069397": 142, "9504243731498718": 142, "9458125233650208": 142, "941383421421051": 142, "9369717240333557": 142, "9325786232948303": 142, "9282047152519226": 142, "9238501191139221": 142, "9195179343223572": 142, "9152052998542786": 142, "9109106659889221": 142, "9065083861351013": 142, "9022570252418518": 142, "8980283141136169": 142, "8938211798667908": 142, "8896359801292419": 142, "8854741454124451": 142, "8813342452049255": 142, "8772192597389221": 142, "8731240630149841": 142, "8690542578697205": 142, "8650079369544983": 142, "8609837889671326": 142, "8569735884666443": 142, "8529936671257019": 142, "8490381836891174": 142, "8451052308082581": 142, "8411964774131775": 142, "8373108506202698": 142, "8334495425224304": 142, "8296114802360535": 142, "8257977366447449": 142, "8220071196556091": 142, "8182410597801208": 142, "8144991993904114": 142, "810782253742218": 142, "8070904612541199": 142, "8034225106239319": 142, "7997807860374451": 142, "7961660027503967": 142, "792578399181366": 142, "7890142798423767": 142, "7854157090187073": 142, "7819063067436218": 142, "7784256339073181": 142, "7749715447425842": 142, "7715461850166321": 142, "7681490778923035": 142, "7647802233695984": 142, "7614410519599915": 142, "7581329941749573": 142, "7548510432243347": 142, "7515599131584167": 142, "7483400702476501": 142, "7451501488685608": 142, "7419915795326233": 142, "7388637661933899": 142, "7357645630836487": 142, "7326977849006653": 142, "729632556438446": 142, "7266228795051575": 142, "7236421704292297": 142, "7207136750221252": 142, "7185872197151184": 142, "7157091498374939": 142, "7128989100456238": 142, "710062563419342": 142, "7072741389274597": 142, "7045156359672546": 142, "7017859816551208": 142, "6990883946418762": 142, "6964195370674133": 142, "6937800049781799": 142, "6911693215370178": 142, "6885871291160583": 142, "6860348582267761": 142, "6835090517997742": 142, "6810138821601868": 142, "6785444617271423": 142, "6761037707328796": 142, "6736903786659241": 142, "6713055968284607": 142, "6689137816429138": 142, "6665800213813782": 142, "664272129535675": 142, "6617758870124817": 142, "6595194935798645": 142, "6572876572608948": 142, "6550807356834412": 142, "6528978943824768": 142, "6507379412651062": 142, "6486011147499084": 142, "6464868187904358": 142, "6442922949790955": 142, "6422243714332581": 142, "6401776671409607": 142, "6381524205207825": 142, "6361487507820129": 142, "6341407895088196": 142, "6321790814399719": 142, "6303487420082092": 142, "6284285187721252": 142, "6265272498130798": 142, "6246485114097595": 142, "622790515422821": 142, "620951235294342": 142, "6191325783729553": 142, "6173365712165833": 142, "61567622423172": 142, "6139176487922668": 142, "6121792197227478": 142, "6104641556739807": 142, "608768880367279": 142, "6070944666862488": 142, "6054412722587585": 142, "6038098931312561": 142, "6022122502326965": 142, "6006222367286682": 142, "5990505814552307": 142, "597500741481781": 142, "5959733128547668": 142, "5943478941917419": 142, "5928635001182556": 142, "5913969874382019": 142, "5899491906166077": 142, "5885211825370789": 142, "5871120095252991": 142, "5857271552085876": 142, "5843494534492493": 142, "5829957127571106": 142, "5818209052085876": 142, "5804997086524963": 142, "5792030692100525": 142, "5779356360435486": 142, "5766670107841492": 142, "5754141211509705": 142, "5741776823997498": 142, "5727996230125427": 142, "5715946555137634": 142, "5704048275947571": 142, "5693749785423279": 142, "5682134032249451": 142, "567066490650177": 142, "5659642815589905": 142, "56535404920578": 142, "564249575138092": 142, "5631601214408875": 142, "5620858073234558": 142, "561024010181427": 142, "5601403117179871": 142, "5591040253639221": 142, "5580804944038391": 142, "5570703148841858": 142, "5560718178749084": 142, "555086076259613": 142, "5541126132011414": 142, "5531514286994934": 142, "5522006154060364": 142, "5512626767158508": 142, "5503342747688293": 142, "549419105052948": 142, "5485135912895203": 142, "5476210713386536": 142, "5467389225959778": 142, "5458690524101257": 142, "5449736714363098": 142, "00502467667683959": 142, "006014562677592039": 142, "010624265298247337": 142, "013138921931385994": 142, "005479924846440554": 142, "020298896357417107": 142, "000519783585332334": 142, "0011934216599911451": 142, "017962083220481873": 142, "008971593342721462": 142, "007756766863167286": 142, "012114395387470722": 142, "0028870508540421724": 142, "002405701670795679": 142, "004831428173929453": 142, "00942154973745346": 142, "0034610081929713488": 142, "0154754389077425": 142, "007916281931102276": 142, "013706454075872898": 142, "014326343312859535": 142, "015075517818331718": 142, "004442339763045311": 142, "010432739742100239": 142, "018394561484456062": 142, "01999119110405445": 142, "013778754509985447": 142, "06035479158163071": 142, "035329755395650864": 142, "046301864087581635": 142, "02179955504834652": 142, "006125968415290117": 142, "026907457038760185": 142, "08644629269838333": 142, "05612235516309738": 142, "06567523628473282": 142, "029926257207989693": 142, "028622889891266823": 142, "06070440262556076": 142, "005590901244431734": 142, "011485076509416103": 142, "03112824074923992": 142, "008554229512810707": 142, "01219169981777668": 142, "028665443882346153": 142, "0087074413895607": 142, "09066212177276611": 142, "16233573853969574": 142, "021245542913675308": 142, "005564588122069836": 142, "016643648967146873": 142, "031076615676283836": 142, "08777987211942673": 142, "02412344142794609": 142, "15788017213344574": 142, "027137640863656998": 142, "11752063781023026": 142, "13598042726516724": 142, "11141244322061539": 142, "15497244894504547": 142, "8263494968414307": 142, "00725774047896266": 142, "899188995361328": 142, "4112329483032227": 142, "3782885074615479": 142, "827926635742188": 142, "83512544631958": 142, "841433525085449": 142, "962541580200195": 142, "3379043340682983": 142, "266244411468506": 142, "027204513549805": 142, "837099075317383": 142, "613290786743164": 142, "957365036010742": 142, "4258606433868408": 142, "074312210083008": 142, "846681594848633": 142, "6603007316589355": 142, "0115679195150733": 142, "885393142700195": 142, "265736103057861": 142, "3611432313919067": 142, "81289291381836": 142, "656252861022949": 142, "8276238441467285": 142, "925092697143555": 142, "434309959411621": 142, "229640483856201": 142, "97311019897461": 142, "654043674468994": 142, "614814281463623": 142, "932214736938477": 142, "262119770050049": 142, "061324596405029": 142, "82865333557129": 142, "465639114379883": 142, "008433652110397816": 142, "892398834228516": 142, "069796085357666": 142, "3868763446807861": 142, "841083526611328": 142, "499212265014648": 142, "833198308944702": 142, "93797492980957": 142, "112143516540527": 142, "215516090393066": 142, "877384185791016": 142, "501092910766602": 142, "619003772735596": 142, "946773529052734": 142, "071737766265869": 142, "063483715057373": 142, "844024658203125": 142, "9345057010650635": 142, "111865520477295": 142, "453388214111328": 142, "9705650806427": 142, "924619197845459": 142, "00506019592285": 142, "44097453355789185": 142, "2626662254333496": 142, "249401330947876": 142, "2383239269256592": 142, "2277436256408691": 142, "2176177501678467": 142, "207965612411499": 142, "198575496673584": 142, "1894464492797852": 142, "1805827617645264": 142, "1720702648162842": 142, "163757562637329": 142, "1555206775665283": 142, "147237777709961": 142, "1392581462860107": 142, "1314904689788818": 142, "123835563659668": 142, "1094279289245605": 142, "1020941734313965": 142, "0949554443359375": 142, "0879228115081787": 142, "0811288356781006": 142, "0742859840393066": 142, "0675389766693115": 142, "0608749389648438": 142, "0543735027313232": 142, "0478742122650146": 142, "0414574146270752": 142, "0351190567016602": 142, "0288379192352295": 142, "0226402282714844": 142, "016514778137207": 142, "0103871822357178": 142, "0043671131134033": 142, "9982907176017761": 142, "9924769997596741": 142, "9866833090782166": 142, "9809535145759583": 142, "9752876162528992": 142, "9696268439292908": 142, "9641273617744446": 142, "9586071372032166": 142, "9531741738319397": 142, "9477980732917786": 142, "9424795508384705": 142, "9371694922447205": 142, "931962788105011": 142, "9268090128898621": 142, "9217095971107483": 142, "9165787100791931": 142, "9103222489356995": 142, "9053717255592346": 142, "9004729390144348": 142, "8956194519996643": 142, "8907338976860046": 142, "8859757781028748": 142, "8812659382820129": 142, "8766011595726013": 142, "8719796538352966": 142, "8674047589302063": 142, "862870991230011": 142, "8583806157112122": 142, "8539347052574158": 142, "8495284914970398": 142, "8451654314994812": 142, "840802013874054": 142, "8365173935890198": 142, "8322734236717224": 142, "8280670046806335": 142, "8238998055458069": 142, "8197712302207947": 142, "815678060054779": 142, "8116225600242615": 142, "8077283501625061": 142, "8037464022636414": 142, "7997148633003235": 142, "7958064675331116": 142, "7919347882270813": 142, "7881003022193909": 142, "784301221370697": 142, "780540406703949": 142, "7768164277076721": 142, "773129403591156": 142, "7694798111915588": 142, "7657944560050964": 142, "7622162699699402": 142, "7586753964424133": 142, "7551723122596741": 142, "7517330050468445": 142, "7481979727745056": 142, "7448086142539978": 142, "7414553761482239": 142, "7381370663642883": 142, "7348536849021912": 142, "7316061854362488": 142, "7283926606178284": 142, "7252114415168762": 142, "7220637202262878": 142, "7189483046531677": 142, "715865433216095": 142, "71281498670578": 142, "7097950577735901": 142, "7068050503730774": 142, "7040280699729919": 142, "7012017369270325": 142, "6982943415641785": 142, "6954184174537659": 142, "692571222782135": 142, "6897522807121277": 142, "6869636178016663": 142, "6842014193534851": 142, "681468665599823": 142, "6787624955177307": 142, "6760849356651306": 142, "673422634601593": 142, "6708013415336609": 142, "6682077050209045": 142, "6656391024589539": 142, "6630957722663879": 142, "660578191280365": 142, "658086359500885": 142, "6556199193000793": 142, "6531776785850525": 142, "6507601141929626": 142, "648367702960968": 142, "6458622813224792": 142, "643558919429779": 142, "6412385106086731": 142, "638942301273346": 142, "636668860912323": 142, "6344189047813416": 142, "6321924328804016": 142, "6278066039085388": 142, "6255814433097839": 142, "6234893202781677": 142, "6213750243186951": 142, "6192830204963684": 142, "6172117590904236": 142, "6152133345603943": 142, "6131828427314758": 142, "6111724972724915": 142, "6091811060905457": 142, "6072096228599548": 142, "6053141951560974": 142, "6033807396888733": 142, "6014664769172668": 142, "5995697379112244": 142, "5976938605308533": 142, "5959057211875916": 142, "5940647721290588": 142, "592242419719696": 142, "5904363989830017": 142, "5886504054069519": 142, "5865983366966248": 142, "584846556186676": 142, "5832610726356506": 142, "581540048122406": 142, "5798373818397522": 142, "5781503319740295": 142, "5764802098274231": 142, "5748263001441956": 142, "5731882452964783": 142, "5715659260749817": 142, "5699583888053894": 142, "568365752696991": 142, "5667869448661804": 142, "5652232766151428": 142, "5636737942695618": 142, "5621386170387268": 142, "5606158375740051": 142, "5591074824333191": 142, "5576106905937195": 142, "5561274886131287": 142, "5546559691429138": 142, "5531987547874451": 142, "5517274737358093": 142, "5502945780754089": 142, "5488731265068054": 142, "5473068356513977": 142, "5459081530570984": 142, "5445206761360168": 142, "543143093585968": 142, "5417769551277161": 142, "5404217839241028": 142, "5390749573707581": 142, "5377381443977356": 142, "5364121794700623": 142, "5350969433784485": 142, "5337912440299988": 142, "5324942469596863": 142, "5312075018882751": 142, "5299302935600281": 142, "5286632180213928": 142, "5274055600166321": 142, "526155412197113": 142, "5249150395393372": 142, "5236855149269104": 142, "5224629044532776": 142, "5212501883506775": 142, "5200459361076355": 142, "5188514590263367": 142, "5176644921302795": 142, "5164870619773865": 142, "5153184533119202": 142, "5141584277153015": 142, "5130072236061096": 142, "5118650794029236": 142, "5107312798500061": 142, "509605348110199": 142, "5084895491600037": 142, "5075109601020813": 142, "5062437653541565": 142, "5051526427268982": 142, "5040696263313293": 142, "5029945969581604": 142, "5016748309135437": 142, "5006173253059387": 142, "49956732988357544": 142, "49850744009017944": 142, "4973883032798767": 142, "49636203050613403": 142, "4953414797782898": 142, "4943313002586365": 142, "49332767724990845": 142, "492331326007843": 142, "49134498834609985": 142, "49036580324172974": 142, "4893947243690491": 142, "4884306788444519": 142, "48747581243515015": 142, "48652881383895874": 142, "4848042130470276": 142, "48387497663497925": 142, "48295289278030396": 142, "48203951120376587": 142, "4811345934867859": 142, "4803239703178406": 142, "4794366955757141": 142, "4785568118095398": 142, "47768527269363403": 142, "4768214821815491": 142, "47596603631973267": 142, "4753541350364685": 142, "4745153784751892": 142, "4736853241920471": 142, "4728625416755676": 142, "47205954790115356": 142, "4712525010108948": 142, "4704548716545105": 142, "46966391801834106": 142, "4688815474510193": 142, "4681088328361511": 142, "4673425555229187": 142, "46688979864120483": 142, "466142475605011": 142, "4654023051261902": 142, "4646715521812439": 142, "4639483094215393": 142, "46323317289352417": 142, "4625263810157776": 142, "4618259072303772": 142, "46113520860671997": 142, "4604516625404358": 142, "45977598428726196": 142, "45917803049087524": 142, "45851844549179077": 142, "45786577463150024": 142, "4572210907936096": 142, "4565841555595398": 142, "4559552073478699": 142, "4553341269493103": 142, "4547209143638611": 142, "45436936616897583": 142, "4537730813026428": 142, "45318442583084106": 142, "4526016116142273": 142, "4520266652107239": 142, "4511694312095642": 142, "45060890913009644": 142, "45005685091018677": 142, "4495125412940979": 142, "448974072933197": 142, "44844335317611694": 142, "4479193091392517": 142, "4474039673805237": 142, "44689327478408813": 142, "44639116525650024": 142, "44589585065841675": 142, "44540780782699585": 142, "444926917552948": 142, "44445258378982544": 142, "4439855217933655": 142, "443420946598053": 142, "4429677128791809": 142, "4425216317176819": 142, "44208377599716187": 142, "44165271520614624": 142, "4413936734199524": 142, "0061070858500897884": 142, "003082678886130452": 142, "0024296643678098917": 142, "012401244603097439": 142, "01809040643274784": 142, "04894820228219032": 142, "008000435307621956": 142, "010861082933843136": 142, "006608020048588514": 142, "011588183231651783": 142, "011621994897723198": 142, "08782321959733963": 142, "004780988208949566": 142, "0018748887814581394": 142, "005942233372479677": 142, "0025682272389531136": 142, "012602487578988075": 142, "03993663564324379": 142, "0038524118717759848": 142, "005938930436968803": 142, "003643723437562585": 142, "006715772207826376": 142, "04759907349944115": 142, "07180408388376236": 142, "003811616450548172": 142, "002392169553786516": 142, "009050898253917694": 142, "14193394780158997": 142, "040839653462171555": 142, "05531958490610123": 142, "017474055290222168": 142, "02400030568242073": 142, "014168789610266685": 142, "0015182646457105875": 142, "008544500917196274": 142, "057249344885349274": 142, "009287426248192787": 142, "0028575905598700047": 142, "0023281362373381853": 142, "0012514465488493443": 142, "0011606481857597828": 142, "0378795750439167": 142, "01443762332201004": 142, "01177953276783228": 142, "02351018786430359": 142, "041300512850284576": 142, "0024477136321365833": 142, "04002142697572708": 142, "015144288539886475": 142, "015494288876652718": 142, "02923157997429371": 142, "002488764701411128": 142, "0059030079282820225": 142, "03622601553797722": 142, "1095966249704361": 142, "031139260157942772": 142, "12692703306674957": 142, "05031586065888405": 142, "013821452856063843": 142, "1941438764333725": 142, "8329594135284424": 142, "0014651635428890586": 142, "90375518798828": 142, "4268741607666016": 142, "4370813369750977": 142, "82355499267578": 142, "8176417350769043": 142, "8346545696258545": 142, "877614974975586": 142, "4272034168243408": 142, "224093914031982": 142, "832439422607422": 142, "827538013458252": 142, "661458969116211": 142, "9117431640625": 142, "4622981548309326": 142, "068883895874023": 142, "864503860473633": 142, "669564723968506": 142, "01866200380027294": 142, "975173950195312": 142, "214860439300537": 142, "4530218839645386": 142, "80434226989746": 142, "641377925872803": 142, "835609197616577": 142, "888986587524414": 142, "2247114181518555": 142, "229067325592041": 142, "830257415771484": 142, "652300834655762": 142, "674042701721191": 142, "949378967285156": 142, "1810736656188965": 142, "051136493682861": 142, "920623779296875": 142, "455318450927734": 142, "0012421549763530493": 142, "93492317199707": 142, "091512203216553": 142, "5002925395965576": 142, "80914306640625": 142, "472987174987793": 142, "8477096557617188": 142, "879426956176758": 142, "052799701690674": 142, "214176654815674": 142, "854036331176758": 142, "434540748596191": 142, "68649959564209": 142, "95986557006836": 142, "2574005126953125": 142, "924682140350342": 142, "066650867462158": 142, "524167537689209": 142, "591596603393555": 142, "235012531280518": 142, "987379550933838": 142, "398120880126953": 142, "7842479348182678": 142, "4339275360107422": 142, "4208736419677734": 142, "4102058410644531": 142, "3993299007415771": 142, "3890345096588135": 142, "378843069076538": 142, "3690555095672607": 142, "359574794769287": 142, "3503999710083008": 142, "3414416313171387": 142, "3329284191131592": 142, "324272632598877": 142, "315868854522705": 142, "3076059818267822": 142, "2993686199188232": 142, "2913973331451416": 142, "2837340831756592": 142, "2761123180389404": 142, "2687809467315674": 142, "2614171504974365": 142, "2542264461517334": 142, "2472898960113525": 142, "2403287887573242": 142, "2334997653961182": 142, "22676420211792": 142, "2201340198516846": 142, "2135846614837646": 142, "2072851657867432": 142, "2009766101837158": 142, "1947736740112305": 142, "1886744499206543": 142, "1827232837677002": 142, "1768321990966797": 142, "1709744930267334": 142, "1652870178222656": 142, "159703254699707": 142, "154149055480957": 142, "1487324237823486": 142, "1434593200683594": 142, "138286828994751": 142, "1333446502685547": 142, "1283938884735107": 142, "123544692993164": 142, "1188783645629883": 142, "1141798496246338": 142, "105046033859253": 142, "100780963897705": 142, "0965094566345215": 142, "092395305633545": 142, "0883820056915283": 142, "084364891052246": 142, "0805606842041016": 142, "0768539905548096": 142, "073286771774292": 142, "0696332454681396": 142, "066213846206665": 142, "0629053115844727": 142, "0599570274353027": 142, "0568068027496338": 142, "053802251815796": 142, "0508744716644287": 142, "0480399131774902": 142, "0452992916107178": 142, "0426523685455322": 142, "0400974750518799": 142, "0376861095428467": 142, "0353178977966309": 142, "0330421924591064": 142, "030857801437378": 142, "0287654399871826": 142, "0267624855041504": 142, "0248486995697021": 142, "0230238437652588": 142, "021284580230713": 142, "0196292400360107": 142, "0180559158325195": 142, "0165598392486572": 142, "013887643814087": 142, "0125982761383057": 142, "0113677978515625": 142, "0101878643035889": 142, "0090546607971191": 142, "0079615116119385": 142, "0068113803863525": 142, "0058748722076416": 142, "004870891571045": 142, "0038869380950928": 142, "0029211044311523": 142, "0018787384033203": 142, "001032829284668": 142, "0001065731048584": 142, "9991002678871155": 142, "998248279094696": 142, "9972619414329529": 142, "9963791966438293": 142, "9955056309700012": 142, "994644820690155": 142, "9937956929206848": 142, "9929582476615906": 142, "9921315312385559": 142, "9913172125816345": 142, "9905139803886414": 142, "9897206425666809": 142, "9889366030693054": 142, "9881593585014343": 142, "987389862537384": 142, "9866252541542053": 142, "9858660101890564": 142, "985085666179657": 142, "9843412041664124": 142, "9835967421531677": 142, "9826957583427429": 142, "9819485545158386": 142, "9811013340950012": 142, "9806360602378845": 142, "9798833727836609": 142, "9791273474693298": 142, "9783666729927063": 142, "9776027798652649": 142, "9768343567848206": 142, "9760600924491882": 142, "9753029942512512": 142, "9745411276817322": 142, "9737735390663147": 142, "973002016544342": 142, "9722252488136292": 142, "9714433550834656": 142, "97065669298172": 142, "9698392748832703": 142, "9690414071083069": 142, "9682378172874451": 142, "9674304127693176": 142, "9667637944221497": 142, "9659479260444641": 142, "9651262164115906": 142, "964299738407135": 142, "9634671807289124": 142, "9628252387046814": 142, "9619800448417664": 142, "9611286520957947": 142, "960271418094635": 142, "9594077467918396": 142, "9585508704185486": 142, "9576699137687683": 142, "956781804561615": 142, "9558864235877991": 142, "954982578754425": 142, "9535784125328064": 142, "9526527523994446": 142, "9517194628715515": 142, "9507761597633362": 142, "9498251080513": 142, "9488640427589417": 142, "9478943943977356": 142, "9469146132469177": 142, "9459262490272522": 142, "9449272751808167": 142, "9439188838005066": 142, "9429002404212952": 142, "9418718218803406": 142, "9408348202705383": 142, "9397886395454407": 142, "9387336373329163": 142, "9376706480979919": 142, "9365994334220886": 142, "9355207085609436": 142, "9344359040260315": 142, "9333439469337463": 142, "9322451949119568": 142, "9311426281929016": 142, "9300345778465271": 142, "9299805760383606": 142, "9288660883903503": 142, "9277485013008118": 142, "9266274571418762": 142, "9251037240028381": 142, "9228641390800476": 142, "9217424988746643": 142, "9206210970878601": 142, "9194996953010559": 142, "918379008769989": 142, "917259156703949": 142, "9161407351493835": 142, "9150243401527405": 142, "9139092564582825": 142, "9127964377403259": 142, "9116857647895813": 142, "9105772376060486": 142, "9094722867012024": 142, "9083694815635681": 142, "9072678685188293": 142, "9061700701713562": 142, "9050746560096741": 142, "90403813123703": 142, "9029466509819031": 142, "9018589854240417": 142, "9007728695869446": 142, "8996891379356384": 142, "8986075520515442": 142, "897528350353241": 142, "8964504599571228": 142, "8953750729560852": 142, "8943013548851013": 142, "8932293057441711": 142, "8919238448143005": 142, "8908324837684631": 142, "889762818813324": 142, "8886957764625549": 142, "8876219391822815": 142, "886556088924408": 142, "8854904770851135": 142, "88442462682724": 142, "883358895778656": 142, "8822932839393616": 142, "8812263607978821": 142, "8802469372749329": 142, "8791800141334534": 142, "8781129717826843": 142, "8770430684089661": 142, "8761023879051208": 142, "8750278353691101": 142, "8739525675773621": 142, "8729886412620544": 142, "8719081282615662": 142, "8708245158195496": 142, "8697380423545837": 142, "8685901761054993": 142, "867504894733429": 142, "8664171099662781": 142, "8653249144554138": 142, "864230215549469": 142, "8631306290626526": 142, "8620280623435974": 142, "8609204888343811": 142, "8598088622093201": 142, "8575714230537415": 142, "8564891219139099": 142, "8553579449653625": 142, "8539995551109314": 142, "8528595566749573": 142, "851715624332428": 142, "8505663275718689": 142, "8494119048118591": 142, "8482527136802673": 142, "8470882773399353": 142, "8459195494651794": 142, "8447642922401428": 142, "8435820937156677": 142, "8423954844474792": 142, "8412045836448669": 142, "8400089144706726": 142, "8388084769248962": 142, "8376036286354065": 142, "8363956809043884": 142, "8351834416389465": 142, "8339607119560242": 142, "8327416777610779": 142, "8315191864967346": 142, "8302931189537048": 142, "8290631175041199": 142, "8278291821479797": 142, "8265926241874695": 142, "8253511786460876": 142, "8241079449653625": 142, "8228610157966614": 142, "8216102719306946": 142, "8203572630882263": 142, "8191611170768738": 142, "8179029822349548": 142, "8166412711143494": 142, "8156296610832214": 142, "8143607974052429": 142, "8130884766578674": 142, "8117675185203552": 142, "8104897141456604": 142, "8092090487480164": 142, "8079258799552917": 142, "8066406846046448": 142, "8053538203239441": 142, "8040642142295837": 142, "8040369153022766": 142, "8027316927909851": 142, "8014214634895325": 142, "8001098036766052": 142, "7987945675849915": 142, "7975937724113464": 142, "7962725758552551": 142, "7949479222297668": 142, "7936181426048279": 142, "7922855019569397": 142, "7909485697746277": 142, "7896073460578918": 142, "7882631421089172": 142, "786961019039154": 142, "7856065630912781": 142, "02345508337020874": 142, "010023987852036953": 142, "04898536950349808": 142, "004647967405617237": 142, "006518436595797539": 142, "07730250805616379": 142, "00753958011046052": 142, "005099083762615919": 142, "03223976865410805": 142, "0024463352747261524": 142, "006717852782458067": 142, "0689043253660202": 142, "03087102621793747": 142, "010925413109362125": 142, "05156443640589714": 142, "011203511618077755": 142, "002347939880564809": 142, "0788843184709549": 142, "005555902142077684": 142, "007357716094702482": 142, "01031804271042347": 142, "0341942235827446": 142, "024786092340946198": 142, "09598753601312637": 142, "008401860482990742": 142, "013012150302529335": 142, "03286398574709892": 142, "014466600492596626": 142, "00030799489468336105": 142, "07512925565242767": 142, "004230192396789789": 142, "012171158567070961": 142, "021000634878873825": 142, "07774284482002258": 142, "005615892354398966": 142, "16427014768123627": 142, "018304556608200073": 142, "011092051863670349": 142, "015547923743724823": 142, "027066722512245178": 142, "1233300045132637": 142, "09186562895774841": 142, "0013357345014810562": 142, "022841207683086395": 142, "03245081007480621": 142, "016732923686504364": 142, "0004141079552937299": 142, "05196119844913483": 142, "055529478937387466": 142, "0423315204679966": 142, "024730117991566658": 142, "05206434428691864": 142, "10036879777908325": 142, "07306214421987534": 142, "1724722981452942": 142, "014426203444600105": 142, "03217523172497749": 142, "11813575774431229": 142, "13519443571567535": 142, "22545182704925537": 142, "8012967109680176": 142, "0017347931861877441": 142, "905481338500977": 142, "378356695175171": 142, "861021041870117": 142, "837609052658081": 142, "8412466049194336": 142, "958362579345703": 142, "3743356466293335": 142, "217206001281738": 142, "863910675048828": 142, "834956169128418": 142, "612931728363037": 142, "960010528564453": 142, "3821232318878174": 142, "052298545837402": 142, "855892181396484": 142, "633561611175537": 142, "001090505043976009": 142, "908292770385742": 142, "205514430999756": 142, "3765907287597656": 142, "855276107788086": 142, "611641883850098": 142, "8403005599975586": 142, "960968017578125": 142, "134477138519287": 142, "1613874435424805": 142, "100444793701172": 142, "619659423828125": 142, "623471736907959": 142, "95207405090332": 142, "2079596519470215": 142, "07232141494751": 142, "835893630981445": 142, "453643798828125": 142, "004347453359514475": 142, "909008026123047": 142, "038818836212158": 142, "3903907537460327": 142, "45848274230957": 142, "8099119663238525": 142, "910070419311523": 142, "080563545227051": 142, "220266819000244": 142, "847408294677734": 142, "458596229553223": 142, "638974189758301": 142, "91166114807129": 142, "041538238525391": 142, "055850028991699": 142, "849273681640625": 142, "592146396636963": 142, "39325475692749": 142, "020551681518555": 142, "358281135559082": 142, "5626964569091797": 142, "486042022705078": 142, "8589658141136169": 142, "1737771034240723": 142, "1613450050354004": 142, "1523611545562744": 142, "1436662673950195": 142, "1359028816223145": 142, "127511978149414": 142, "1195380687713623": 142, "1123099327087402": 142, "104452133178711": 142, "096475601196289": 142, "0885910987854004": 142, "0811378955841064": 142, "0734002590179443": 142, "0659146308898926": 142, "058401346206665": 142, "0508337020874023": 142, "0435521602630615": 142, "0363709926605225": 142, "029818058013916": 142, "0228030681610107": 142, "0159344673156738": 142, "0091781616210938": 142, "0027172565460205": 142, "9962013363838196": 142, "9897516369819641": 142, "983511745929718": 142, "9775287508964539": 142, "971805989742279": 142, "9664198756217957": 142, "9615079760551453": 142, "95663982629776": 142, "9520758986473083": 142, "947615921497345": 142, "9433485865592957": 142, "9392921328544617": 142, "9355571866035461": 142, "932239830493927": 142, "9288813471794128": 142, "9256848692893982": 142, "9226451516151428": 142, "9196750521659851": 142, "916933000087738": 142, "9143076539039612": 142, "9118301272392273": 142, "9095368981361389": 142, "9073081612586975": 142, "9052034020423889": 142, "9032161831855774": 142, "9013325572013855": 142, "8995833992958069": 142, "8980116248130798": 142, "8964062333106995": 142, "8949903845787048": 142, "8937917351722717": 142, "8925705552101135": 142, "891395628452301": 142, "8903513550758362": 142, "8893843293190002": 142, "8884866833686829": 142, "8876541256904602": 142, "8868764042854309": 142, "8861483931541443": 142, "8854625821113586": 142, "8848164677619934": 142, "8843391537666321": 142, "8837510943412781": 142, "8832589983940125": 142, "882716715335846": 142, "8821949362754822": 142, "8817669749259949": 142, "8812814354896545": 142, "8808154463768005": 142, "8803667426109314": 142, "8799354434013367": 142, "8795221447944641": 142, "8791235089302063": 142, "8787433505058289": 142, "8783809542655945": 142, "8780336976051331": 142, "8778471350669861": 142, "8775340914726257": 142, "877237856388092": 142, "8769659399986267": 142, "8767165541648865": 142, "8764873147010803": 142, "8766929507255554": 142, "8766298890113831": 142, "876448929309845": 142, "8762832283973694": 142, "8759533762931824": 142, "8758085370063782": 142, "8756718039512634": 142, "8755437731742859": 142, "8756648898124695": 142, "8755363821983337": 142, "8753519654273987": 142, "8752477765083313": 142, "8751477599143982": 142, "8750352263450623": 142, "8747562766075134": 142, "874666154384613": 142, "8745792508125305": 142, "8744894862174988": 142, "8744023442268372": 142, "8743129372596741": 142, "8742223381996155": 142, "8741303086280823": 142, "8740755915641785": 142, "8739224076271057": 142, "8738152384757996": 142, "8737191557884216": 142, "8736023306846619": 142, "873480498790741": 142, "8733099102973938": 142, "8731780648231506": 142, "873041570186615": 142, "8729014992713928": 142, "8726106286048889": 142, "8724624514579773": 142, "8723130822181702": 142, "8721632361412048": 142, "8720108866691589": 142, "8718615174293518": 142, "8717102408409119": 142, "8715608716011047": 142, "8713796734809875": 142, "8712337613105774": 142, "8710915446281433": 142, "8705716729164124": 142, "8704350590705872": 142, "8703013062477112": 142, "8701714873313904": 142, "8700448870658875": 142, "8699193596839905": 142, "8697986006736755": 142, "8690584301948547": 142, "8690631985664368": 142, "868986189365387": 142, "8688746094703674": 142, "8687694668769836": 142, "8686650395393372": 142, "868565022945404": 142, "8684665560722351": 142, "8683717846870422": 142, "8682815432548523": 142, "8682586550712585": 142, "8681772351264954": 142, "8679879307746887": 142, "8678397536277771": 142, "8677656054496765": 142, "8676946759223938": 142, "8676254153251648": 142, "8675573468208313": 142, "867492139339447": 142, "8674288392066956": 142, "8673679232597351": 142, "8673093914985657": 142, "867252767086029": 142, "8671973347663879": 142, "8671433329582214": 142, "8670910000801086": 142, "8670398592948914": 142, "8669890761375427": 142, "8669388890266418": 142, "8668920397758484": 142, "866845428943634": 142, "8668004870414734": 142, "86675626039505": 142, "866736114025116": 142, "8666972517967224": 142, "8666537404060364": 142, "8666108250617981": 142, "8665686249732971": 142, "8665266633033752": 142, "8664842247962952": 142, "8664421439170837": 142, "8665145039558411": 142, "8664757609367371": 142, "8664358258247375": 142, "8663942217826843": 142, "8663536906242371": 142, "866311252117157": 142, "8662695288658142": 142, "8662275671958923": 142, "8661829829216003": 142, "8661878705024719": 142, "8661420941352844": 142, "8660967946052551": 142, "8660498261451721": 142, "8660007119178772": 142, "865950882434845": 142, "8657988905906677": 142, "8657894730567932": 142, "8657330870628357": 142, "8656752705574036": 142, "8656168580055237": 142, "8655579686164856": 142, "8654963374137878": 142, "8654366135597229": 142, "8653749823570251": 142, "8653128743171692": 142, "8652500510215759": 142, "8654741644859314": 142, "8654102683067322": 142, "8653449416160583": 142, "8652786612510681": 142, "8652116656303406": 142, "8651432394981384": 142, "8650751709938049": 142, "8648272156715393": 142, "8647568821907043": 142, "8646848797798157": 142, "8646135926246643": 142, "8645433783531189": 142, "864471971988678": 142, "8644012808799744": 142, "8643315434455872": 142, "8642625212669373": 142, "8641945719718933": 142, "8641255497932434": 142, "8639559149742126": 142, "8638892769813538": 142, "8638214468955994": 142, "8637554049491882": 142, "8636894822120667": 142, "8637863993644714": 142, "8636021018028259": 142, "8635374903678894": 142, "8632988333702087": 142, "8632364869117737": 142, "8631735444068909": 142, "8631860613822937": 142, "8631260991096497": 142, "8630676865577698": 142, "8630083203315735": 142, "8629515767097473": 142, "8628943562507629": 142, "8628384470939636": 142, "8627832531929016": 142, "8627288937568665": 142, "8626747727394104": 142, "8626218438148499": 142, "8625699877738953": 142, "8625172972679138": 142, "8625525832176208": 142, "8624996542930603": 142, "8624439835548401": 142, "862389862537384": 142, "862335741519928": 142, "8622824549674988": 142, "8622278571128845": 142, "8621743321418762": 142, "8621211647987366": 142, "862143337726593": 142, "8620890974998474": 142, "8620365262031555": 142, "8619361519813538": 142, "861886203289032": 142, "8618339896202087": 142, "8616521954536438": 142, "8616002202033997": 142, "8615497946739197": 142, "8614978194236755": 142, "8614469170570374": 142, "8613969683647156": 142, "8613460659980774": 142, "8612965941429138": 142, "8612452149391174": 142, "8611952662467957": 142, "860813558101654": 142, "8607634902000427": 142, "8607130646705627": 142, "8606618046760559": 142, "8606110215187073": 142, "8605590462684631": 142, "8605077862739563": 142, "860454261302948": 142, "8604012131690979": 142, "8603453040122986": 142, "860291063785553": 142, "860237181186676": 142, "8601815104484558": 142, "8598601222038269": 142, "8598026633262634": 142, "8597447276115417": 142, "859686553478241": 142, "8596273064613342": 142, "8595677018165588": 142, "8595073819160461": 142, "8594474196434021": 142, "8593880534172058": 142, "859327495098114": 142, "8592681288719177": 142, "8592079281806946": 142, "8591470122337341": 142, "8590864539146423": 142, "8590256571769714": 142, "012910602614283562": 142, "0017337165772914886": 142, "0013618831289932132": 142, "013433794490993023": 142, "005838171113282442": 142, "005287736654281616": 142, "007797150872647762": 142, "009345526807010174": 142, "02936369553208351": 142, "0055426605977118015": 142, "004867347422987223": 142, "005799105390906334": 142, "01045224443078041": 142, "004795889835804701": 142, "014302532188594341": 142, "015641743317246437": 142, "006242893636226654": 142, "0031195874325931072": 142, "0025507460813969374": 142, "00321765523403883": 142, "0017879665829241276": 142, "010384060442447662": 142, "014201397076249123": 142, "0077958316542208195": 142, "008463806472718716": 142, "007432412356138229": 142, "009232943877577782": 142, "001033036969602108": 142, "0017351745627820492": 142, "011067202314734459": 142, "0006034830585122108": 142, "008419109508395195": 142, "006816742941737175": 142, "015404827892780304": 142, "008925956673920155": 142, "017386453226208687": 142, "0025625547859817743": 142, "0011261114850640297": 142, "015619523823261261": 142, "012855153530836105": 142, "010106814093887806": 142, "002421853132545948": 142, "0030344421975314617": 142, "006110799498856068": 142, "013126228004693985": 142, "008488412946462631": 142, "0065576438792049885": 142, "008645009249448776": 142, "007438644301146269": 142, "0014454041374847293": 142, "01142137497663498": 142, "009672881104052067": 142, "0008904021233320236": 142, "0014136735117062926": 142, "007763450499624014": 142, "0025345822796225548": 142, "0035275365225970745": 142, "010428757406771183": 142, "005782644730061293": 142, "05188480764627457": 142, "whenev": 142, "to_json": 142, "similarli": [142, 147], "back": 142, "from_json": 142, "7eaa0d63": 142, "83aa": 142, "473f": 142, "ac84": 142, "423ffd0c67f5": 142, "uuid": 142, "visual": [142, 144, 150, 151, 153, 154, 156], "2306": 142, "12059": 142, "gemnet_oc_base_s2ef_all_md": 142, "2204": 142, "02782": 142, "db28b9d5": 142, "c4ab": 142, "4c0f": 142, "88e9": 142, "502b143eee73": 142, "to_ase_atom": 142, "ase_atom": 142, "pt54oh": 142, "adsorbml": [142, 146, 151], "lan2023adsorbml": 142, "leap": 142, "generaliz": 142, "wander": 142, "brook": 142, "npj": 142, "latest": [143, 146, 147, 159], "screen": [143, 147], "effort": 143, "highlight": [143, 147], "breadth": 143, "reach": [143, 147], "pr": 143, "fresh": 144, "plot_atom": [144, 147, 149, 151, 153, 156], "fig": [144, 147, 149, 151, 153], "subplot": [144, 147, 149, 151, 153, 156], "90x": [144, 153], "set_axis_off": [144, 151, 153], "110": [144, 147], "398659": 144, "6307": 144, "545036": 144, "9250": 144, "622719": 144, "5629": 144, "613007": 144, "641937": 144, "691620": 144, "3621": 144, "723862": 144, "764206": 144, "7120": 144, "869545": 144, "5228": 144, "938713": 144, "1706": [144, 154], "977699": 144, "0839": 144, "992668": 144, "0717": 144, "999657": 144, "0612": 144, "995178": 144, "005981": 144, "0603": 144, "007721": 144, "0621": [144, 153], "010895": 144, "0351": 144, "cach": [145, 147, 158], "gotcha": 145, "lmdb_dataset_cr": 145, "ocpapi": 145, "529": 145, "quickstart": 145, "legacy_tutori": [145, 147], "ocp_tutori": 145, "896": 145, "data_preprocess": 145, "data_visu": [145, 148], "nrr": [145, 151, 153], "nrr_exampl": 145, "introduct": [145, 147, 152], "252": 145, "adsorbml_walkthrough": 145, "616": [145, 157], "advanc": [145, 147, 157], "87": [145, 147, 149, 157], "1813": 145, "art": [146, 147, 153, 158], "scaffold": 146, "odac23": 146, "forcenet": 146, "evalai": 146, "relat": [146, 147, 151, 156, 158], "announc": 146, "join": [146, 147, 149, 157], "faq": 146, "fork": 146, "tian": 146, "xie": 146, "undergon": 146, "engin": 146, "mmf": 146, "ccai": 147, "mshuaibi": 147, "fair": 147, "abhshkdz": 147, "fb": 147, "akolluru": 147, "nersc": 147, "bwood": 147, "lbl": 147, "gov": [147, 153], "janlan": 147, "zulissi": 147, "ai": [147, 150], "carnegi": 147, "mellon": 147, "univers": 147, "nation": 147, "scientif": 147, "econom": 147, "widespread": 147, "renew": 147, "technologi": 147, "discov": 147, "commonli": 147, "electrochem": 147, "reaction": [147, 149, 151, 153, 158], "overal": 147, "estim": 147, "quantiti": 147, "tightli": 147, "practic": [147, 153, 158], "goal": [147, 151], "benchmark": 147, "toward": 147, "cours": 147, "until": 147, "nitial": 147, "tructur": 147, "elax": 147, "nergi": 147, "strucutr": 147, "orc": 147, "gain": 147, "intuit": [147, 149], "knowledg": 147, "walkthrough": 147, "20atom": 147, "20simul": 147, "20environ": 147, "20the": 147, "20gnu": 147, "20lgpl": 147, "20licens": 147, "scalabl": 147, "essenti": [147, 157], "rise": 147, "figur": [147, 149, 152, 153, 154], "relianc": 147, "wind": 147, "solar": 147, "intermitt": 147, "power": 147, "transfer": 147, "demand": 147, "hour": [147, 151], "dai": [147, 158], "month": 147, "offer": 147, "convers": 147, "fuel": 147, "hydrogen": 147, "wide": [147, 158], "adopt": 147, "drive": 147, "mechan": 147, "unfortun": 147, "capabl": [147, 158], "handpick": 147, "brute": 147, "million": 147, "billion": 147, "publicli": 147, "fall": [147, 153], "suit": [147, 157], "creation": 147, "techniqu": 147, "beyond": 147, "area": 147, "meet": 147, "decad": [147, 158], "ahead": 147, "aim": 147, "design": [147, 150], "nueral": 147, "benefit": 147, "plu": 147, "manner": 147, "communn": 147, "concern": 147, "everydai": 147, "basic": 147, "seek": [147, 149], "electrocatalysi": 147, "white": 147, "is_avail": [147, 158], "catalyast": 147, "134m": 147, "460k": 147, "1m": [147, 158], "sake": 147, "bash": 147, "mkdir": [147, 154], "tutorial_data": 147, "xzvf": 147, "train_100": 147, "lock": 147, "val_20": 147, "agg": [147, 149], "labels": [147, 149], "font": [147, 149], "famili": [147, 149], "dejavu": [147, 149], "san": [147, 149], "fontsiz": [147, 149], "xtick": [147, 149], "ytick": [147, 149], "titles": [147, 149], "usetex": [147, 149], "figsiz": [147, 149], "rcparam": [147, 149], "atomist": [147, 149, 156, 158], "less": [147, 153, 154], "medium": 147, "computation": 147, "great": [147, 149], "propan": [147, 149], "c3h8": [147, 149], "copper": [147, 149, 154], "broyden": 147, "fletcher": 147, "goldfarb": 147, "shanno": 147, "illumin": 147, "physic": [147, 149, 158], "especi": [147, 153, 154], "excess": 147, "overlap": 147, "collid": 147, "beneath": [147, 149], "toy_c3h8_relax": [147, 149], "move_mask": [147, 149], "write_xyz": [147, 149], "804700": [147, 149], "7764": [147, 149], "190607": [147, 149], "3232": [147, 149], "240169": [147, 149], "2655": [147, 149], "779223": [147, 149], "9372": [147, 149], "671525": [147, 149], "7702": [147, 149], "574461": [147, 149], "6635": [147, 149], "537502": [147, 149], "5718": [147, 149], "516673": [147, 149], "4466": [147, 149], "481330": [147, 149], "4611": [147, 149], "462255": [147, 149], "2931": [147, 149], "448937": [147, 149], "433813": [147, 149], "418884": [147, 149], "2602": [147, 149], "409649": [147, 149], "2532": [147, 149], "404838": [147, 149], "1624": [147, 149], "401753": [147, 149], "397314": [147, 149], "387947": [147, 149], "3450": [147, 149], "370825": [147, 149], "4070": [147, 149], "342222": [147, 149], "4333": [147, 149], "286822": [147, 149], "5002": [147, 149], "249910": [147, 149], "5241": [147, 149], "187179": [147, 149], "5120": [147, 149], "124811": [147, 149], "066185": [147, 149], "5409": [147, 149], "000116": [147, 149], "0798": [147, 149], "893632": [147, 149], "7528": [147, 149], "845939": [147, 149], "3321": [147, 149], "815173": [147, 149], "808721": [147, 149], "2143": [147, 149], "794643": [147, 149], "1546": [147, 149], "789162": [147, 149], "2014": [147, 149, 153], "782320": [147, 149], "780394": [147, 149], "1037": [147, 149], "778410": [147, 149], "1076": [147, 149], "775079": [147, 149], "766987": [147, 149], "3334": [147, 149], "750249": [147, 149], "5307": [147, 149], "725928": [147, 149], "6851": [147, 149], "702312": [147, 149], "5823": [147, 149], "661515": [147, 149], "3996": [147, 149], "5585": [147, 149], "621201": [147, 149], "3673": [147, 149], "614414": [147, 149], "1394": [147, 149], "610785": [147, 149], "1372": [147, 149], "608134": [147, 149], "1464": [147, 149], "604928": [147, 149], "1196": [147, 149], "599151": [147, 149], "1354": [147, 149], "594063": [147, 149], "1479": [147, 149], "589493": [147, 149], "1538": [147, 149], "587274": [147, 149], "0885": [147, 149], "584633": [147, 149], "0938": [147, 149], "580239": [147, 149], "572938": [147, 149], "2543": [147, 149], "563343": [147, 149], "2919": [147, 149], "554117": [147, 149], "1966": [147, 149, 154], "547597": [147, 149], "1291": [147, 149], "542086": [147, 149], "1280": [147, 149], "535432": [147, 149], "0982": [147, 149], "533622": [147, 149], "1277": [147, 149], "60": [147, 149, 154, 156, 157], "527487": [147, 149], "1167": [147, 149, 154], "523863": [147, 149], "519229": [147, 149], "1305": [147, 149, 151], "515424": [147, 149], "511240": [147, 149], "2122": [147, 149], "507967": [147, 149], "2666": [147, 149], "503903": [147, 149], "497575": [147, 149], "1623": [147, 149], "485434": [147, 149], "2022": [147, 149, 156], "466738": [147, 149], "2159": [147, 149], "467607": [147, 149], "3348": [147, 149], "454037": [147, 149], "1063": [147, 149], "448980": [147, 149], "1197": [147, 149], "446550": [147, 149], "0992": [147, 149], "444705": [147, 149], "0562": [147, 149], "443403": [147, 149], "0388": [147, 149], "442646": [147, 149], "0548": [147, 149], "442114": [147, 149], "440960": [147, 149], "0588": [147, 149], "439820": [147, 149], "0482": [147, 149, 154], "438600": [147, 149], "0513": [147, 149], "437429": [147, 149], "0541": [147, 149], "435695": [147, 149], "0672": [147, 149], "431957": [147, 149], "0857": [147, 149], "423485": [147, 149], "413846": [147, 149], "404849": [147, 149], "1787": [147, 149], "385339": [147, 149], "386849": [147, 149], "371078": [147, 149], "1181": [147, 149], "368801": [147, 149], "0942": [147, 149], "366226": [147, 149], "0670": [147, 149], "361680": [147, 149], "0550": [147, 149], "360631": [147, 149], "0473": [147, 149], "359692": [147, 149], "0242": [147, 149], "359361": [147, 149], "0155": [147, 149], "359163": [147, 149], "0143": [147, 149], "97": [147, 149, 157], "359102": [147, 149], "0156": [147, 149], "359048": [147, 149], "99": [147, 149, 157], "358986": [147, 149], "358921": [147, 149], "0132": [147, 149], "unhash": [147, 149], "adsorbate_info": [147, 149], "specifii": 147, "middl": [147, 149], "color": [147, 156], "orang": [147, 156], "grei": 147, "carbon": [147, 156], "fli": 147, "desorb": [147, 151, 154], "break": 147, "apart": 147, "hard": 147, "quick": 147, "saniti": 147, "set_titl": [147, 149, 151], "75x": [147, 149], "45y": [147, 149], "10z": [147, 149], "i_structur": [147, 149], "cu27c3h8": [147, 149], "65796644025031": [147, 149], "266996999999996": [147, 149], "get_atomic_numb": [147, 149], "get_chemical_symbol": [147, 149, 154], "3x3": [147, 149, 153], "dash": [147, 149], "box": [147, 149], "65796644": [147, 149], "266997": [147, 149], "infinit": [147, 149], "categori": 147, "furthest": [147, 148], "realiti": [147, 149], "arriv": [147, 149], "studi": [147, 149, 158], "carri": [147, 149, 157], "final_structur": [147, 149], "relaxed_energi": [147, 149], "raw_slab": [147, 149], "raw_slab_energi": [147, 149], "clariti": [147, 149], "gas_reference_energi": [147, 149], "adsorbate_reference_energi": [147, 149], "adsorption_energi": [147, 149], "35892145140813": [147, 149], "127167122751231": [147, 149], "4499999999999993": [147, 149], "2182456713431016": [147, 149], "strang": 147, "occur": 147, "monoton": 147, "spike": 147, "sign": 147, "particularli": 147, "sens": 147, "lw": [147, 149], "unlik": [147, 149], "ground": [147, 149], "frac": [147, 149], "mandatori": 147, "regardless": [147, 149], "07900000e": [147, 149], "80000000e": [147, 149], "13560540e": [147, 149], "29200000e": [147, 149], "13302410e": [147, 149], "84600000e": [147, 149], "13543430e": [147, 149], "13047800e": [147, 149], "10430500e": [147, 149], "53094000e": [147, 149], "84573700e": [147, 149], "20890000e": [147, 149], "07827000e": [147, 149], "49808000e": [147, 149], "85544000e": [147, 149], "97640000e": [147, 149], "18144370e": [147, 149], "36420450e": [147, 149], "97089230e": [147, 149], "18895316e": [147, 149], "74768262e": [147, 149], "65980520e": [147, 149], "16046990e": [147, 149], "47152822e": [147, 149], "96835355e": [147, 149], "64190926e": [147, 149], "71458646e": [147, 149], "18178516e": [147, 149], "67589182e": [147, 149], "46333681e": [147, 149], "78299828e": [147, 149], "18714050e": [147, 149], "26336330e": [147, 149], "99485570e": [147, 149], "31814437": [147, 149], "23642045": [147, 149], "39708923": [147, 149], "18895316": [147, 149], "74768262": [147, 149], "56598052": [147, 149], "61604699": [147, 149], "47152822": [147, 149], "96835355": [147, 149], "64190926": [147, 149], "71458646": [147, 149], "18178516": [147, 149], "67589182": [147, 149], "46333681": [147, 149], "78299828": [147, 149], "1871405": [147, 149], "22633633": [147, 149], "59948557": [147, 149], "2964": 147, "282500615000004": 147, "total_fram": 147, "2825e": 147, "1290e": 147, "1451e": 147, "0260e": 147, "7921e": 147, "6451e": 147, "2257e": 147, "2161e": 147, "0712e": 147, "4727e": 147, "9575e": 147, "7016e": 147, "2819e": 147, "1616e": 147, "5283e": 147, "2425e": 147, "2346e": 147, "0530e": 147, "6090e": 147, "1807e": 147, "1691e": 147, "1254e": 147, "4997e": 147, "3274e": 147, "2782e": 147, "8892e": 147, "9609e": 147, "1746e": 147, "7179e": 147, "7007e": 147, "3709e": 147, "8005e": 147, "7676e": 147, "4129e": 147, "3162e": 147, "1374e": 147, "4124e": 147, "7525e": 147, "1224e": 147, "2787e": 147, "8587e": 147, "1835e": 147, "1200e": 147, "3011e": 147, "6812e": 147, "9202e": 147, "1644e": 147, "9261e": 147, "1364e": 147, "2114e": 147, "0665e": 147, "3760e": 147, "3588e": 147, "4895e": 147, "6190e": 147, "8660e": 147, "4980e": 147, "8880e": 147, "0218e": 147, "0559e": 147, "1013e": 147, "2129e": 147, "2748e": 147, "3322e": 147, "3382e": 147, "3865e": 147, "3973e": 147, "4196e": 147, "4755e": 147, "4951e": 147, "5078e": 147, "5148e": 147, "5257e": 147, "5550e": 147, "9721e": 147, "5081e": 147, "6373e": 147, "0946e": 147, "4385e": 147, "2700e": 147, "0081e": 147, "3797e": 147, "1462e": 147, "8812e": 147, "2429e": 147, "1352e": 147, "2293e": 147, "9102e": 147, "3574e": 147, "3142e": 147, "4777e": 147, "3948e": 147, "3816e": 147, "2163e": 147, "2526e": 147, "8313e": 147, "8615e": 147, "3446e": 147, "5100e": 147, "5168e": 147, "webpag": [147, 149], "interrel": 147, "tradit": 147, "conjug": 147, "goe": 147, "ultim": [147, 157], "surrog": [147, 158], "transit": [147, 153], "tate": 147, "consider": 147, "wors": 147, "train_src": 147, "val_src": 147, "train_dataset": 147, "stdev": 147, "explicitli": [147, 151], "preferr": 147, "converg": 147, "grad_input": 147, "scaling_factor": 147, "happi": 147, "ln": 147, "deepcopi": 147, "incompat": 147, "46df531": [147, 158], "logs_dir": 147, "multiarrai": 147, "id001": 147, "f8": 147, "dpvlwhra": 147, "d8": 147, "zsxldmrm3d8": 147, "2596214": 147, "yet": [147, 156], "typedstorag": [147, 157], "untypedstorag": [147, 157], "matter": [147, 157], "untyped_storag": [147, 157], "elem": [147, 157], "_new_shar": [147, 157], "numel": [147, 157], "00e": 147, "energy_ma": 147, "37e": 147, "54e": 147, "14e": 147, "50e": 147, "06e": 147, "forces_cosine_similar": 147, "12e": 147, "forces_magnitude_error": 147, "07e": 147, "22e": 147, "45e": 147, "26e": 147, "76e": 147, "53e": 147, "92e": 147, "58e": 147, "73e": 147, "27e": 147, "19e": 147, "96e": 147, "64e": 147, "13e": 147, "78e": 147, "21e": 147, "42e": 147, "80e": 147, "55e": 147, "62e": 147, "46e": 147, "52e": 147, "70e": 147, "28e": 147, "86e": 147, "02e": 147, "38e": 147, "65e": 147, "35e": 147, "59e": 147, "05e": 147, "40e": 147, "77e": 147, "43e": 147, "31e": 147, "24e": 147, "29e": 147, "08e": 147, "88e": 147, "44e": 147, "25e": 147, "87e": 147, "83e": 147, "66e": 147, "09e": 147, "69e": 147, "48e": 147, "67e": 147, "72e": 147, "97e": 147, "39e": 147, "49e": 147, "68e": 147, "51e": 147, "01e": 147, "03e": 147, "94e": 147, "33e": 147, "60e": 147, "36e": 147, "75e": 147, "90e": 147, "84e": 147, "30e": 147, "56e": 147, "79e": 147, "47e": 147, "32e": 147, "04e": 147, "15e": 147, "61e": 147, "34e": 147, "20e": 147, "17e": 147, "89e": 147, "63e": 147, "51it": 147, "71it": 147, "34it": 147, "37it": 147, "52it": 147, "49it": 147, "57it": 147, "56it": 147, "66it": 147, "58it": 147, "67it": 147, "77it": 147, "0000": [147, 148], "3699": [147, 154], "3033": 147, "2619": 147, "4725": 147, "3459": 147, "0218": 147, "4929": 147, "3609": 147, "best_checpoint": 147, "45158625849998374": 147, "5156444102461508": 147, "pretrained_train": 147, "test_load": 147, "s2ef_result": 147, "01it": 147, "62it": 147, "76it": 147, "83it": 147, "75it": 147, "s2ef_s2ef_result": 147, "single_point_lmdb": 147, "gemnet_t": 147, "mjyjzgpq978": 147, "pnyyzmtk": 147, "t8": 147, "outblock_0_had": 147, "outblock_1_had": 147, "outblock_2_had": 147, "outblock_3_had": 147, "22774037": 147, "outblock_4_sum": 147, "out_block": 147, "scale_sum": 147, "outblock_5_sum": 147, "tripinteraction_4_had_rbf": 147, "int_block": 147, "trip_interact": 147, "scale_rbf": 147, "tripinteraction_4_sum_cbf": 147, "scale_cbf_sum": 147, "atomupdate_4_sum": 147, "tripinteraction_5_had_rbf": 147, "tripinteraction_5_sum_cbf": 147, "atomupdate_5_sum": 147, "energy_ms": 147, "91e": 147, "95e": 147, "18e": 147, "82e": 147, "98e": 147, "93e": 147, "16e": 147, "23e": 147, "57e": 147, "41e": 147, "05it": 147, "04it": 147, "1972": 147, "5631": 147, "16652292": 147, "7483": 147, "7326": 147, "4570415561499996": 147, "8371084209427546": 147, "pretrained_energy_train": 147, "is2re_result": 147, "93it": 147, "07it": [147, 153], "72it": 147, "89it": 147, "92it": 147, "is2re_is2re_result": 147, "realxat": [147, 149], "histori": 147, "hessian": 147, "num_relaxation_batch": 147, "31671825": 147, "gemnet_t_direct_h512_al": 147, "630": [147, 157], "094": 147, "509": 147, "798": 147, "882": 147, "935": 147, "884": 147, "378": 147, "928": 147, "874": 147, "880": 147, "758": 147, "751": 147, "920": 147, "369": 147, "341": 147, "418": 147, "516": 147, "480": 147, "387": 147, "370": 147, "340": 147, "310": 147, "306": 147, "464": 147, "498": 147, "497": 147, "440": 147, "239": 147, "257": 147, "319": 147, "308": 147, "276": 147, "177": 147, "184": [147, 157], "178": 147, "185": [147, 157], "269": 147, "260": 147, "315": 147, "357": 147, "285": 147, "190": [147, 157], "275": 147, "161": 147, "122": 147, "108": 147, "144": 147, "159": 147, "056": 147, "086": 147, "106": 147, "107": 147, "072": 147, "046": 147, "048": 147, "077": 147, "095": 147, "082": 147, "052": 147, "034": 147, "028": 147, "039": 147, "031": 147, "123": 147, "043": 147, "057": 147, "055": 147, "035": 147, "024": 147, "137": 147, "021": 147, "020": 147, "022": 147, "038": 147, "148": 147, "016": 147, "014": 147, "155": 147, "157": 147, "009": 147, "162": 147, "018": 147, "167": 147, "169": 147, "172": 147, "174": 147, "175": 147, "176": 147, "179": 147, "180": 147, "026": 147, "187": [147, 157], "007": 147, "192": 147, "008": 147, "197": 147, "198": 147, "207": 147, "positions_average_distance_within_threshold": 147, "5448979591836735": 147, "positions_ma": 147, "889694213867188": 147, "38149490356445315": 147, "positions_ms": 147, "93234252929688": 147, "215539042154948": 147, "5286474227905273": 147, "2794680893421173": 147, "ml_trajectori": 147, "1700380": 147, "behav": 147, "uncom": 147, "mention": 147, "walk": 147, "boilerpl": 147, "trajectory_lmdb": 147, "hit": 147, "7554450631141663": 147, "887317180633545": 147, "6a": 147, "expans": 147, "linspac": [147, 156], "coeff": 147, "register_buff": 147, "pow": 147, "atom_emb_s": 147, "edge_emb_s": 147, "out_siz": 147, "h_t": 147, "env_expon": 147, "inv_cutoff": 147, "e_": 147, "ij": 147, "fulli": 147, "contribut": [147, 151], "simpleatomedgemodel": 147, "edge_emb": 147, "distance_vec": 147, "h_atom": 147, "x_e_i": 147, "sum_j": 147, "m_ji": 147, "x_e": [147, 156], "sum_i": 147, "num_system": 147, "x_f": [147, 156], "ji": 147, "f_st_vec": 147, "squeez": 147, "model_param": 147, "185602": 147, "558": 147, "freez": 147, "_create_warning_msg": 147, "2326": 147, "8845": 147, "4710": 147, "0539": 147, "7951": 147, "10e": 147, "0137": 147, "3346": 147, "2852": 147, "9165": 147, "5121": 147, "0387": 147, "8785": 147, "9322": 147, "1997": 147, "3253": 147, "2719": 147, "5174": 147, "0524": [147, 154], "8993": 147, "7762": 147, "82it": 147, "4001": 147, "3315": 147, "9607": 147, "5246": 147, "0449": 147, "9166": 147, "7514": 147, "2267": 147, "3320": 147, "2803": 147, "9892": 147, "5338": 147, "0477": 147, "9421": 147, "6033": 147, "wire": 147, "everyth": 147, "185k": 147, "0815": 147, "0321": 147, "plai": 147, "recal": [147, 154], "klicpera": 147, "neurip": [147, 150], "significantli": 147, "bulkier": 147, "4m": 147, "tripinteraction_2_had_rbf": 147, "tripinteraction_2_sum_cbf": 147, "atomupdate_2_sum": 147, "tripinteraction_3_had_rbf": 147, "tripinteraction_3_sum_cbf": 147, "atomupdate_3_sum": 147, "outblock_2_sum": 147, "outblock_3_sum": 147, "3360519": 147, "74e": 147, "23it": 147, "2356": 147, "2589": 147, "8025": 147, "9335": 147, "1054": 147, "85it": 147, "5906": 147, "2641": 147, "8005": 147, "8728": 147, "1879": 147, "7455": 147, "11e": 147, "71e": 147, "80it": 147, "0236": 147, "2729": 147, "7737": 147, "8415": 147, "9627": 147, "1182": 147, "6152": 147, "1384": 147, "6930": 147, "7895": 147, "1818": 147, "5234": 147, "0624": 147, "78it": 147, "9363": 147, "1717": 147, "7101": 147, "7947": 147, "8922": 147, "1857": 147, "5687": 147, "6277": 147, "0668": 147, "8106": 147, "interplai": 147, "leaderboard": 147, "sample_ml_relax": 147, "5000": 147, "099784": 147, "5675": 147, "244461": 147, "1370": 147, "403120": 147, "7635": 147, "503652": 147, "8364": 147, "558208": 147, "7339": 147, "592069": 147, "4095": 147, "619347": 147, "7312": 147, "671473": 147, "9712": 147, "796453": 147, "9211": 147, "957974": 147, "9761": 147, "109447": 147, "0384": 147, "295602": 147, "2249": 147, "498971": 147, "1271": [147, 154], "618084": 147, "0669": 147, "737121": 147, "9509": 147, "901947": 147, "9260": 147, "076138": 147, "2737": 147, "198372": 147, "2029": 147, "250344": 147, "6852": 147, "254098": 147, "293970": 147, "1779": 147, "326332": 147, "324463": 147, "321269": 147, "1016": 147, "328320": 147, "0847": [147, 153], "331771": 147, "0586": 147, "331944": 147, "0445": 147, "mustb": 147, "neigh": 147, "neighor": 147, "toy_c3h8": 147, "1733": 147, "804699620277187": 147, "lmdbdatset": 147, "96it": 147, "train_10k": 147, "val_2k": 147, "dpp": 147, "lr_mileston": 147, "dpp_is2re_sampl": 147, "datetim": 147, "opencatalyst": 147, "face": 147, "innov": 147, "feedstock": 147, "intens": [147, 158], "ammonia": 147, "fertil": 147, "feed": 147, "grow": 147, "popul": 147, "20th": 147, "centuri": 147, "unintend": 147, "consequ": 147, "overus": 147, "todai": [147, 158], "farm": 147, "ocean": 147, "dead": 147, "zone": 147, "explos": 147, "wartim": 147, "hope": 147, "steer": 147, "societ": 147, "benefici": 147, "underwai": 147, "thought": 147, "ponder": 147, "consistenli": 147, "push": 147, "bias": 147, "uncertainti": 147, "role": 147, "stage": [147, 157], "reliabl": 147, "leverag": [147, 151, 153, 158], "similiar": 147, "divers": 147, "unsur": 147, "acces": 147, "meaning": 147, "budget": 147, "fairli": 147, "noisi": 147, "trend": 147, "09435": 147, "johann": 147, "florian": 147, "becker": 147, "stephan": 147, "g\u00fcnnemann": 147, "understand": [148, 150], "ipynb": 148, "discard": [148, 157], "neigbhor": 148, "1053": 148, "6100": 148, "int32": 148, "3250e": 148, "8807e": 148, "1354e": 148, "0249e": 148, "1050e": 148, "1344e": 148, "2822e": 148, "9421e": 148, "4399e": 148, "2746e": 148, "1294e": 148, "5221e": 148, "1496e": 148, "5001e": 148, "4308e": 148, "0431e": 148, "0583e": 148, "5797e": 148, "6610e": 148, "5511e": 148, "8287e": 148, "7780e": 148, "5274e": 148, "2690e": 148, "6059e": 148, "4247e": 148, "3368e": 148, "4286e": 148, "0512e": 148, "5527": 148, "2763": 148, "8050": 148, "8290": 148, "4597": 148, "her": [148, 151], "incorpor": [148, 154], "framework": [148, 154], "arbitrarli": 148, "9683558933957053": 148, "6604e7130ea41fabff93c229af2486433093e3b4": 148, "preprocess_ef": 148, "videos_dir": 149, "num_proc": 149, "fp": 149, "simplic": 149, "toi": [149, 150], "classic": 149, "gif": 149, "explicit": [149, 156], "save_count": 149, "favor": [149, 151, 153], "anim": 149, "funcanim": 149, "drawimag": 149, "moviewrit": 149, "ffmpeg": 149, "pillow": 149, "adsorbt": 149, "profil": 149, "climat": 150, "workshop": [150, 151, 158], "comprehens": 150, "googl": 150, "colab": 150, "topic": 150, "develop": [150, 156, 158], "impact": [150, 153], "prerequisit": 150, "energet": 151, "sy": 151, "scipi": [151, 154], "linregress": 151, "ocdata": [151, 154], "adsorbateslabconfig": [151, 154], "panda": [151, 154], "detecttrajanomali": [151, 154], "eq2_31m_ec4_allmd": 151, "zhou": 151, "jing": 151, "enhanc": 151, "catalyt": 151, "bimetal": 151, "nitrogen": [151, 153], "perturb": 151, "2190": 151, "2c05877": 151, "gist": 151, "correl": 151, "nnh": 151, "divid": 151, "known": 151, "assess": [151, 154], "Be": 151, "fashion": 151, "breviti": [151, 154], "__file__": 151, "adsorbate_smiles_nnh": 151, "adsorbate_smiles_h": 151, "bulk_src_id_from_db": [151, 154], "bulk_db_path": 151, "nrr_example_bulk": 151, "adsorbate_h": 151, "adsorbate_smiles_from_db": [151, 154], "adsorbate_db_path": 151, "adsorbate_nnh": 151, "from_bulk_get_specific_mil": [151, 154], "specific_mil": [151, 154], "ag36pd12": 151, "16666666666666669": 151, "heuristic_adslab": [151, 154], "num_sit": [151, 154], "random_adslab": [151, 154], "random_site_heuristic_plac": [151, 154], "tricki": 151, "tini": 151, "ontop": 151, "bridg": [151, 153], "hollow": 151, "exhaust": 151, "tight_layout": [151, 156], "_h": 151, "477448": 151, "6483": 151, "424099": 151, "4773": 151, "501018": 151, "2235": 151, "310378": 151, "7199": 151, "291162": 151, "3074": 151, "285014": 151, "4345": 151, "279084": 151, "243226": 151, "3165": 151, "243100": 151, "244309": 151, "243514": 151, "1673": 151, "238116": 151, "229609": 151, "226417": 151, "0564": 151, "226542": 151, "pretti": [151, 153, 156], "quickli": 151, "principl": [151, 156], "leav": 151, "exercis": 151, "91276645": 151, "singlepointdftcalcul": 151, "pd3ag": 151, "02885979": 151, "scpd3": 151, "04684963": 151, "momenta": 151, "96898192": 151, "14093081": 151, "09439099": 151, "1665424": 151, "82618693": 151, "72399424": 151, "13568646": 151, "00594441": 151, "95617571": 151, "96059535": 151, "93112559": 151, "9907085": 151, "85915122": 151, "1730103": 151, "36653536": 151, "39618436": 151, "embarrassingli": 151, "exce": 151, "ram": 151, "crash": [151, 153], "consum": 151, "tinit": 151, "establish": 151, "heuristic_adslabs_h": 151, "heuristic_adslabs_nnh": 151, "_nnh": 151, "onlin": 151, "349719_h": 151, "349719_nnh": 151, "analys": 151, "disassoci": [151, 154], "intercal": [151, 154], "think": 151, "aren": 151, "realli": [151, 154], "sp": [151, 154], "rx": [151, 154], "ommit": [151, 154], "detector": [151, 154], "latter": [151, 154], "datafram": [151, 154], "min_": [151, 154], "file_out": 151, "rx_id": [151, 154], "anomol": [151, 154], "anom": [151, 154], "is_adsorbate_dissoci": [151, 154], "is_adsorbate_desorb": [151, 154], "has_surface_chang": [151, 154], "is_adsorbate_intercal": [151, 154], "rx_energi": [151, 154], "relaxation_idx": [151, 154], "relaxed_atom": [151, 154], "relaxed_energy_ml": [151, 154], "df": [151, 154], "reset_index": [151, 154], "min_e_ml": 151, "df_h": 151, "df_nnh": 151, "df_flat": 151, "literature_data": 151, "df_all": 151, "ax1": [151, 156], "ax2": [151, 156], "sharei": 151, "set_figheight": 151, "min_e_ml_x": 151, "e_lit_h": 151, "linewidth": 151, "intercept": 151, "se": 151, "2f": [151, 153], "sq": 151, "upper": 151, "set_xlim": 151, "set_ylim": 151, "set_xlabel": 151, "set_ylabel": [151, 156], "min_e_ml_i": 151, "e_lit_nnh": 151, "set_figwidth": 151, "_stats_mstats_common": 151, "runtimewarn": 151, "invalid": 151, "encount": 151, "double_scalar": 151, "ssxym": 151, "ssxm": 151, "slope_stderr": 151, "ssym": 151, "comp": 151, "annot": 151, "alloi": 152, "6b": 152, "literatur": [152, 158], "oxygen": [153, 156], "convention": 153, "cxhyoznw": 153, "thermodynam": 153, "cycl": 153, "rh1": 153, "rh2": 153, "re1": 153, "re2": 153, "2o2": 153, "atct": 153, "anl": 153, "thermochem": 153, "20data": 153, "speci": [153, 154], "species_numb": 153, "986": 153, "water": 153, "exceed": 153, "amount": 153, "lattic": [153, 156], "percent": [153, 158], "constrain": 153, "slab_": 153, "213985": 153, "6309": 153, "072814": 153, "9064": 153, "981515": 153, "6399": 153, "960240": 153, "6899": 153, "880961": 153, "5561": 153, "835159": 153, "3768": 153, "825380": 153, "812572": 153, "824243": 153, "8787": 153, "779325": 153, "3517": 153, "770538": 153, "1987": 153, "757402": 153, "755143": 153, "754068": 153, "1039": [153, 156], "755047": 153, "757410": 153, "0492": 153, "272590010166168": 153, "did": [153, 154], "264": 153, "expt": 153, "biggest": 153, "exchang": 153, "systemat": 153, "calibr": 153, "augment": 153, "influenc": 153, "xu": 153, "probe": 153, "coverag": 153, "late": 153, "phy": 153, "25597": 153, "25602": 153, "jp508805h": 153, "re3": 153, "subtl": 153, "stoichiometri": 153, "edata": 153, "sdata": 153, "263842000000002": 153, "sfcc": 153, "nO": 153, "720972": 153, "717580": 153, "707525": 153, "0674": 153, "705301": 153, "701210": 153, "0498": 153, "908789799213409": 153, "hcp": 153, "refdata": 153, "033262729644775": 153, "weaker": 153, "complex": 153, "discrep": 153, "investig": [153, 156, 158], "thick": 153, "2x2": 153, "4x4": 153, "5x5": 153, "decis": 153, "interpret": 153, "write_vasp_input_fil": 154, "dscribe": 154, "descriptor": 154, "soap": 154, "spatial": 154, "pdist": 154, "squareform": 154, "x3dase": 154, "view_x3d_n": 154, "complic": 154, "am": 154, "adsorbate_smil": 154, "adequ": 154, "stuff": 154, "plan": 154, "definit": 154, "And": 154, "385273": 154, "9034": 154, "388793": 154, "3130": 154, "423652": 154, "8222": 154, "451181": 154, "8067": 154, "505308": 154, "2177": 154, "541999": 154, "2329": 154, "542559": 154, "543607": 154, "3341": 154, "546713": 154, "3546": 154, "552885": 154, "556035": 154, "1269": 154, "557794": 154, "1174": 154, "558438": 154, "1777": 154, "559684": 154, "2241": 154, "561281": 154, "1862": 154, "561468": 154, "1576": 154, "563355": 154, "0829": 154, "563967": 154, "0553": 154, "564756": 154, "0758": 154, "565873": 154, "0944": 154, "566937": 154, "566613": 154, "421790": 154, "8631": 154, "417559": 154, "451286": 154, "7574": 154, "472460": 154, "7293": 154, "516148": 154, "2300": 154, "546507": 154, "5352": 154, "550224": 154, "1913": 154, "551118": 154, "551656": 154, "3028": 154, "554246": 154, "3125": 154, "558398": 154, "2115": 154, "561715": 154, "0817": 154, "562628": 154, "562828": 154, "2130": 154, "563533": 154, "2050": 154, "563671": 154, "1541": 154, "564311": 154, "1122": 154, "565217": 154, "0343": 154, "225395": 154, "0801": 154, "257795": 154, "4986": 154, "352847": 154, "7934": 154, "434441": 154, "4851": 154, "469657": 154, "6891": 154, "488371": 154, "3204": 154, "495317": 154, "496949": 154, "512831": 154, "3226": 154, "515842": 154, "518122": 154, "1125": 154, "519580": 154, "1934": 154, "522479": 154, "2882": 154, "525015": 154, "3072": 154, "527205": 154, "527546": 154, "1555": 154, "527618": 154, "0544": 154, "528900": 154, "1334": 154, "530425": 154, "532563": 154, "0730": 154, "533921": 154, "0136": 154, "336946": 154, "3237": 154, "348126": 154, "6750": 154, "379824": 154, "0771": 154, "493608": 154, "8563": 154, "496242": 154, "2453": 154, "496632": 154, "2896": 154, "498538": 154, "503504": 154, "5665": 154, "509114": 154, "3775": 154, "513266": 154, "1272": 154, "515592": 154, "1843": 154, "517095": 154, "3544": 154, "516763": 154, "3016": 154, "516922": 154, "1569": 154, "517887": 154, "0957": 154, "519434": 154, "0797": 154, "520147": 154, "520742": 154, "522055": 154, "0967": 154, "522311": 154, "0347": 154, "214117": 154, "9792": 154, "232712": 154, "9890": 154, "332095": 154, "0609": 154, "353146": 154, "415581": 154, "428986": 154, "3489": 154, "443968": 154, "456084": 154, "4626": 154, "476238": 154, "3224": 154, "480666": 154, "2178": 154, "482796": 154, "2617": 154, "483183": 154, "1613": 154, "485238": 154, "488411": 154, "494367": 154, "2887": 154, "499439": 154, "1724": 154, "503282": 154, "2153": 154, "503121": 154, "505273": 154, "4074": 154, "510288": 154, "2925": 154, "514103": 154, "0862": 154, "514731": 154, "1036": 154, "515534": 154, "0914": 154, "516142": 154, "1166": 154, "516862": 154, "0695": 154, "515790": 154, "0677": 154, "515355": 154, "0456": 154, "255172": 154, "0973": 154, "267088": 154, "3148": 154, "309077": 154, "3754": 154, "227502": 154, "7478": 154, "408026": 154, "7020": 154, "432364": 154, "3755": 154, "446026": 154, "5010": 154, "449907": 154, "4162": 154, "472079": 154, "3766": 154, "482175": 154, "484983": 154, "2080": 154, "489540": 154, "494935": 154, "2563": 154, "503804": 154, "2571": 154, "510081": 154, "1948": 154, "512915": 154, "1571": 154, "515219": 154, "1610": 154, "519784": 154, "525295": 154, "1784": 154, "527538": 154, "526621": 154, "0751": 154, "525974": 154, "1026": 154, "527327": 154, "528690": 154, "2124": 154, "530603": 154, "2093": 154, "532032": 154, "1403": 154, "533670": 154, "0858": 154, "534634": 154, "536203": 154, "2392": 154, "541574": 154, "2671": 154, "548306": 154, "1938": 154, "550218": 154, "1128": 154, "551443": 154, "1208": 154, "551260": 154, "553854": 154, "555804": 154, "0975": 154, "556268": 154, "0773": 154, "558275": 154, "0763": 154, "559335": 154, "1003": 154, "561021": 154, "561478": 154, "0734": 154, "561629": 154, "0587": 154, "561234": 154, "0448": 154, "220966": 154, "8626": 154, "241663": 154, "9065": 154, "383642": 154, "3555": 154, "419855": 154, "430072": 154, "8359": 154, "434349": 154, "2821": 154, "440345": 154, "2795": 154, "451975": 154, "6112": 154, "459128": 154, "5875": 154, "465246": 154, "2253": 154, "467927": 154, "471494": 154, "3535": 154, "475163": 154, "4396": 154, "477684": 154, "3228": 154, "478761": 154, "1819": 154, "478740": 154, "1062": 154, "478565": 154, "2411": 154, "479127": 154, "480440": 154, "4614": 154, "483070": 154, "3857": 154, "482609": 154, "1807": 154, "483820": 154, "2384": 154, "484935": 154, "2814": 154, "487025": 154, "491110": 154, "492640": 154, "3196": 154, "496042": 154, "1429": 154, "500461": 154, "3067": 154, "502556": 154, "3355": 154, "507075": 154, "2547": 154, "512156": 154, "1289": 154, "517744": 154, "1165": 154, "519686": 154, "521133": 154, "1164": 154, "522163": 154, "0872": 154, "522638": 154, "0871": 154, "523987": 154, "0968": 154, "525652": 154, "0995": 154, "526533": 154, "0894": 154, "525831": 154, "527376": 154, "1774": 154, "528002": 154, "1993": 154, "528414": 154, "2098": 154, "530255": 154, "528896": 154, "1381": 154, "529448": 154, "1888": 154, "530077": 154, "3882": 154, "535918": 154, "6416": 154, "544227": 154, "549548": 154, "1162": 154, "550992": 154, "0888": 154, "550503": 154, "1263": 154, "551297": 154, "553491": 154, "555600": 154, "1012": 154, "558465": 154, "0750": 154, "559772": 154, "0827": 154, "560950": 154, "0987": 154, "562293": 154, "563725": 154, "563780": 154, "0442": 154, "140931": 154, "7623": 154, "167293": 154, "0996": 154, "365784": 154, "5416": 154, "042859": 154, "8293": 154, "408354": 154, "8542": 154, "428583": 154, "5868": 154, "449264": 154, "463081": 154, "7710": 154, "478356": 154, "507217": 154, "2060": 154, "510037": 154, "511450": 154, "2481": 154, "514950": 154, "1302": 154, "515782": 154, "517234": 154, "519668": 154, "1065": 154, "521899": 154, "0659": 154, "522389": 154, "0406": 154, "erron": 154, "initial_atom": 154, "final_atom": 154, "atom_tag": 154, "3000465215529733": 154, "25174662753": 154, "scrap": 154, "cull": 154, "margin": 154, "wasnt": 154, "wast": 154, "imagin": 154, "combo": 154, "redund": 154, "ey": 154, "configs_for_dedupl": 154, "adsorbate_binding_index": 154, "simular": 154, "energies_for_dedupl": 154, "r_cut": 154, "n_max": 154, "l_max": 154, "coorespond": 154, "ads_len": 154, "position_idx": 154, "soap_desc": 154, "soap_ex": 154, "vstack": 154, "euclidean": 154, "bool_matrix": 154, "idxs_to_keep": 154, "pass_idx": 154, "same_idx": 154, "row_idx": 154, "pick": 154, "binding_indic": 154, "flip": 154, "iloc": 154, "low_e_valu": 154, "sort_valu": 154, "567": 154, "pseudopotenti": 154, "vasp_flag": 154, "grab": 154, "configs_for_dft": 154, "config_idx": 154, "outdir": 154, "diagnost": 155, "aka": 156, "dimension": 156, "yang": 156, "liu": 156, "digit": 156, "d2dd00055e": 156, "patch": 156, "earli": [156, 158], "monkeypatch": 156, "embedding_monkeypatch": 156, "clear": 156, "branch": 156, "gnoc": 156, "vari": 156, "unphys": 156, "why": 156, "return_embed": 156, "a0": 156, "lc": 156, "bump": 156, "rerun": 156, "x1": 156, "x2": 156, "x3": 156, "embbed": 156, "cossim1": 156, "cossim2": 156, "cossim3": 156, "axvlin": 156, "shape_bas": 156, "futurewarn": 156, "__array__": 156, "__array_interface__": 156, "__array_struct__": 156, "coerc": 156, "retain": 156, "behaviour": 156, "correct_shap": 156, "ari": 156, "asanyarrai": 156, "visibledeprecationwarn": [156, 157], "rag": [156, 157], "meant": [156, 157], "region": 156, "octahedr": 156, "nanoparticl": 156, "octahedron": 156, "oct": 156, "umap": 156, "dimenns": 156, "um": 156, "random_st": 156, "fit_transform": 156, "umap_": 156, "1945": 156, "n_job": 156, "cmap": 156, "spectral": 156, "colorbar": 156, "_ax": 156, "4458": 156, "roughli": [156, 158], "dark": 156, "red": 156, "reddish": 156, "bluish": 156, "vdict": 156, "ethanol": 156, "ethan": 156, "closest": 156, "methanol": 156, "l2": 156, "anyth": 156, "ch3ch2oh": 156, "ethanol_emb": 156, "methan": 156, "c2h6": 156, "methane_emb": 156, "ch3oh": 156, "methanol_emb": 156, "coh4": 156, "559462": 156, "168181": 156, "400382": 156, "190083": 156, "227669": 156, "946623": 156, "381525": 156, "042557": 156, "207508": 156, "886933": 156, "115891": 156, "1448": 156, "128599": 156, "037234": 156, "885881": 156, "farther": 156, "remark": 156, "get_dist": 156, "364580062942467": 156, "426840130515679": 156, "queue": 157, "proof": 157, "getlogg": 157, "setlevel": 157, "log_formatt": 157, "formatt": 157, "asctim": 157, "levelnam": 157, "datefmt": 157, "send": 157, "handler_out": 157, "filehandl": 157, "addfilt": 157, "setformatt": 157, "addhandl": 157, "stderr": 157, "handler_err": 157, "85m": 157, "unless": 157, "opportun": [157, 158], "mimic": 157, "parse_known_arg": 157, "sweep_yml": 157, "summit": 157, "slurm_partit": 157, "slurm_mem": 157, "slurm_timeout": 157, "num_gpu": 157, "distributed_port": 157, "13356": 157, "distributed_backend": 157, "nccl": 157, "no_ddp": 157, "gp_gpu": 157, "world_siz": 157, "annoi": 157, "hand": [157, 158], "filelink": 157, "510": 157, "840": 157, "gather_result": 157, "keyboardinterrupt": 157, "hide_eval_progressbar": 157, "log_dict": 157, "checkpoint_everi": 157, "609": 157, "614": 157, "615": 157, "scheduler_typ": 157, "619": 157, "621": 157, "622": 157, "623": 157, "624": 157, "626": 157, "best_val_metr": 157, "629": 157, "evaluation_metr": 157, "633": 157, "637": 157, "pickle_modul": 157, "pickle_protocol": 157, "_use_new_zipfile_seri": 157, "_disable_byteorder_record": 157, "_check_save_filelik": 157, "_open_zipfile_writ": 157, "opened_zipfil": 157, "_save": 157, "476": 157, "_open_zipfile_writer_fil": 157, "file_lik": 157, "write_end_of_fil": 157, "477": 157, "file_stream": 157, "478": 157, "ever": 157, "showcas": 158, "particip": 158, "laptop": 158, "internet": 158, "mainstai": 158, "past": 158, "increasingli": 158, "supplement": 158, "lack": 158, "ago": 158, "symmetri": 158, "quadrat": 158, "implicit": 158, "transferr": 158, "craft": 158, "progess": 158, "mitig": 158, "overtaken": 158, "bond": 158, "began": 158, "regularli": 158, "umbrella": 158, "bader": 158, "facilit": 158, "apr": 158, "gcc": 158, "git": 158, "numba": 158, "e3nn": 158, "cu121": 158, "linux": 158, "1018": 158, "azur": 158, "x86_64": 158, "glibc2": 158, "processor": 158, "virtual": 158, "svmem": 158, "16757346304": 158, "14805020672": 158, "1573117952": 158, "13703266304": 158, "912719872": 158, "inact": 158, "1654480896": 158, "buffer": 158, "22343680": 158, "1458618368": 158, "15974400": 158, "279277568": 158, "sswap": 158, "4294963200": 158, "267395072": 158, "4027568128": 158, "sin": 158, "41222144": 158, "sout": 158, "286040064": 158, "sdiskusag": 158, "77851254784": 158, "69175021568": 158, "8659456000": 158, "click": 158, "hear": 159}, "objects": {"": [[30, 0, 0, "-", "ocpmodels"]], "ocpmodels": [[30, 1, 1, "", "__version__"], [6, 0, 0, "-", "common"], [25, 0, 0, "-", "datasets"], [95, 0, 0, "-", "models"], [111, 0, 0, "-", "modules"], [122, 0, 0, "-", "preprocessing"], [123, 0, 0, "-", "tasks"], [126, 0, 0, "-", "trainers"]], "ocpmodels.common": [[1, 0, 0, "-", "data_parallel"], [2, 0, 0, "-", "distutils"], [3, 0, 0, "-", "flags"], [4, 0, 0, "-", "gp_utils"], [5, 0, 0, "-", "hpo_utils"], [7, 0, 0, "-", "logger"], [8, 0, 0, "-", "registry"], [10, 0, 0, "-", "relaxation"], [14, 0, 0, "-", "transforms"], [15, 0, 0, "-", "tutorial_utils"], [16, 0, 0, "-", "typing"], [17, 0, 0, "-", "utils"]], "ocpmodels.common.data_parallel": [[1, 2, 1, "", "BalancedBatchSampler"], [1, 2, 1, "", "OCPCollater"], [1, 2, 1, "", "StatefulDistributedSampler"], [1, 2, 1, "", "_HasMetadata"], [1, 5, 1, "", "balanced_partition"]], "ocpmodels.common.data_parallel.BalancedBatchSampler": [[1, 3, 1, "", "__iter__"], [1, 3, 1, "", "__len__"], [1, 3, 1, "", "_load_dataset"], [1, 3, 1, "", "set_epoch_and_start_iteration"]], "ocpmodels.common.data_parallel.OCPCollater": [[1, 3, 1, "", "__call__"]], "ocpmodels.common.data_parallel.StatefulDistributedSampler": [[1, 3, 1, "", "__iter__"], [1, 3, 1, "", "set_epoch_and_start_iteration"]], "ocpmodels.common.data_parallel._HasMetadata": [[1, 4, 1, "", "metadata_path"]], "ocpmodels.common.distutils": [[2, 5, 1, "", "all_gather"], [2, 5, 1, "", "all_reduce"], [2, 5, 1, "", "broadcast"], [2, 5, 1, "", "cleanup"], [2, 5, 1, "", "get_rank"], [2, 5, 1, "", "get_world_size"], [2, 5, 1, "", "initialized"], [2, 5, 1, "", "is_master"], [2, 5, 1, "", "os_environ_get_or_throw"], [2, 5, 1, "", "setup"], [2, 5, 1, "", "synchronize"]], "ocpmodels.common.flags": [[3, 2, 1, "", "Flags"], [3, 1, 1, "", "flags"]], "ocpmodels.common.flags.Flags": [[3, 3, 1, "", "add_core_args"], [3, 3, 1, "", "get_parser"]], "ocpmodels.common.gp_utils": [[4, 2, 1, "", "CopyToModelParallelRegion"], [4, 2, 1, "", "GatherFromModelParallelRegion"], [4, 2, 1, "", "ReduceFromModelParallelRegion"], [4, 2, 1, "", "ScatterToModelParallelRegion"], [4, 1, 1, "", "_DATA_PARALLEL_GROUP"], [4, 1, 1, "", "_GRAPH_PARALLEL_GROUP"], [4, 5, 1, "", "_gather"], [4, 5, 1, "", "_gather_with_padding"], [4, 5, 1, "", "_reduce"], [4, 5, 1, "", "_split"], [4, 5, 1, "", "_split_tensor"], [4, 5, 1, "", "cleanup_gp"], [4, 5, 1, "", "copy_to_model_parallel_region"], [4, 5, 1, "", "divide_and_check_no_remainder"], [4, 5, 1, "", "ensure_div"], [4, 5, 1, "", "gather_from_model_parallel_region"], [4, 5, 1, "", "get_dp_group"], [4, 5, 1, "", "get_dp_rank"], [4, 5, 1, "", "get_dp_world_size"], [4, 5, 1, "", "get_gp_group"], [4, 5, 1, "", "get_gp_rank"], [4, 5, 1, "", "get_gp_world_size"], [4, 5, 1, "", "initialized"], [4, 5, 1, "", "pad_tensor"], [4, 5, 1, "", "reduce_from_model_parallel_region"], [4, 5, 1, "", "scatter_to_model_parallel_region"], [4, 5, 1, "", "setup_gp"], [4, 5, 1, "", "trim_tensor"]], "ocpmodels.common.gp_utils.CopyToModelParallelRegion": [[4, 3, 1, "", "backward"], [4, 3, 1, "", "forward"]], "ocpmodels.common.gp_utils.GatherFromModelParallelRegion": [[4, 3, 1, "", "backward"], [4, 3, 1, "", "forward"]], "ocpmodels.common.gp_utils.ReduceFromModelParallelRegion": [[4, 3, 1, "", "backward"], [4, 3, 1, "", "forward"]], "ocpmodels.common.gp_utils.ScatterToModelParallelRegion": [[4, 3, 1, "", "backward"], [4, 3, 1, "", "forward"]], "ocpmodels.common.hpo_utils": [[5, 5, 1, "", "label_metric_dict"], [5, 5, 1, "", "tune_reporter"]], "ocpmodels.common.logger": [[7, 2, 1, "", "Logger"], [7, 2, 1, "", "TensorboardLogger"], [7, 2, 1, "", "WandBLogger"]], "ocpmodels.common.logger.Logger": [[7, 3, 1, "", "log"], [7, 3, 1, "", "log_plots"], [7, 3, 1, "", "mark_preempting"], [7, 3, 1, "", "watch"]], "ocpmodels.common.logger.TensorboardLogger": [[7, 3, 1, "", "log"], [7, 3, 1, "", "log_plots"], [7, 3, 1, "", "mark_preempting"], [7, 3, 1, "", "watch"]], "ocpmodels.common.logger.WandBLogger": [[7, 3, 1, "", "log"], [7, 3, 1, "", "log_plots"], [7, 3, 1, "", "mark_preempting"], [7, 3, 1, "", "watch"]], "ocpmodels.common.registry": [[8, 1, 1, "", "NestedDict"], [8, 1, 1, "", "R"], [8, 2, 1, "", "Registry"], [8, 5, 1, "", "_get_absolute_mapping"], [8, 1, 1, "", "registry"]], "ocpmodels.common.registry.Registry": [[8, 3, 1, "", "__import_error"], [8, 3, 1, "", "get"], [8, 3, 1, "", "get_class"], [8, 3, 1, "", "get_dataset_class"], [8, 3, 1, "", "get_logger_class"], [8, 3, 1, "", "get_model_class"], [8, 3, 1, "", "get_task_class"], [8, 3, 1, "", "get_trainer_class"], [8, 6, 1, "", "mapping"], [8, 3, 1, "", "register"], [8, 3, 1, "", "register_dataset"], [8, 3, 1, "", "register_logger"], [8, 3, 1, "", "register_model"], [8, 3, 1, "", "register_task"], [8, 3, 1, "", "register_trainer"], [8, 3, 1, "", "unregister"]], "ocpmodels.common.relaxation": [[9, 0, 0, "-", "ase_utils"], [11, 0, 0, "-", "ml_relaxation"], [12, 0, 0, "-", "optimizers"]], "ocpmodels.common.relaxation.ase_utils": [[9, 2, 1, "", "OCPCalculator"], [9, 5, 1, "", "batch_to_atoms"]], "ocpmodels.common.relaxation.ase_utils.OCPCalculator": [[9, 3, 1, "", "calculate"], [9, 6, 1, "", "implemented_properties"], [9, 3, 1, "", "load_checkpoint"]], "ocpmodels.common.relaxation.ml_relaxation": [[11, 5, 1, "", "ml_relax"]], "ocpmodels.common.relaxation.optimizers": [[13, 0, 0, "-", "lbfgs_torch"]], "ocpmodels.common.relaxation.optimizers.lbfgs_torch": [[13, 2, 1, "", "LBFGS"], [13, 2, 1, "", "TorchCalc"]], "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS": [[13, 3, 1, "", "check_convergence"], [13, 3, 1, "", "get_energy_and_forces"], [13, 3, 1, "", "run"], [13, 3, 1, "", "set_positions"], [13, 3, 1, "", "step"], [13, 3, 1, "", "write"]], "ocpmodels.common.relaxation.optimizers.lbfgs_torch.TorchCalc": [[13, 3, 1, "", "get_energy_and_forces"], [13, 3, 1, "", "update_graph"]], "ocpmodels.common.transforms": [[14, 2, 1, "", "RandomRotate"]], "ocpmodels.common.transforms.RandomRotate": [[14, 3, 1, "", "__call__"], [14, 3, 1, "", "__repr__"]], "ocpmodels.common.tutorial_utils": [[15, 5, 1, "", "describe_ocp"], [15, 5, 1, "", "generate_yml_config"], [15, 5, 1, "", "ocp_main"], [15, 5, 1, "", "ocp_root"], [15, 5, 1, "", "train_test_val_split"]], "ocpmodels.common.typing": [[16, 1, 1, "", "_T"], [16, 5, 1, "", "assert_is_instance"], [16, 5, 1, "", "none_throws"]], "ocpmodels.common.utils": [[17, 2, 1, "", "Complete"], [17, 2, 1, "", "SeverityLevelBetween"], [17, 5, 1, "", "_get_project_root"], [17, 5, 1, "", "_import_local_file"], [17, 5, 1, "", "_report_incompat_keys"], [17, 5, 1, "", "_resolve_scale_factor_submodule"], [17, 5, 1, "", "add_edge_distance_to_graph"], [17, 5, 1, "", "build_config"], [17, 5, 1, "", "cg_change_mat"], [17, 5, 1, "", "check_traj_files"], [17, 5, 1, "", "collate"], [17, 5, 1, "", "compute_neighbors"], [17, 5, 1, "", "conditional_grad"], [17, 5, 1, "", "create_dict_from_args"], [17, 5, 1, "", "create_grid"], [17, 5, 1, "", "dict_set_recursively"], [17, 5, 1, "", "get_commit_hash"], [17, 5, 1, "", "get_loss_module"], [17, 5, 1, "", "get_max_neighbors_mask"], [17, 5, 1, "", "get_pbc_distances"], [17, 5, 1, "", "get_pruned_edge_idx"], [17, 5, 1, "", "irreps_sum"], [17, 5, 1, "", "load_config"], [17, 5, 1, "", "load_state_dict"], [17, 5, 1, "", "merge_dicts"], [17, 5, 1, "", "new_trainer_context"], [17, 5, 1, "", "parse_value"], [17, 5, 1, "", "plot_histogram"], [17, 5, 1, "", "print_cuda_usage"], [17, 5, 1, "", "pyg2_data_transform"], [17, 5, 1, "", "radius_graph_pbc"], [17, 5, 1, "", "save_checkpoint"], [17, 5, 1, "", "save_experiment_log"], [17, 5, 1, "", "scatter_det"], [17, 5, 1, "", "setup_experimental_imports"], [17, 5, 1, "", "setup_imports"], [17, 5, 1, "", "setup_logging"], [17, 5, 1, "", "update_config"], [17, 5, 1, "", "warmup_lr_lambda"]], "ocpmodels.common.utils.Complete": [[17, 3, 1, "", "__call__"]], "ocpmodels.common.utils.SeverityLevelBetween": [[17, 3, 1, "", "filter"]], "ocpmodels.datasets": [[25, 2, 1, "", "AseDBDataset"], [25, 2, 1, "", "AseReadDataset"], [25, 2, 1, "", "AseReadMultiStructureDataset"], [25, 2, 1, "", "LMDBDatabase"], [25, 2, 1, "", "LmdbDataset"], [25, 2, 1, "", "OC22LmdbDataset"], [25, 2, 1, "", "SinglePointLmdbDataset"], [25, 2, 1, "", "TrajectoryLmdbDataset"], [18, 0, 0, "-", "_utils"], [19, 0, 0, "-", "ase_datasets"], [25, 5, 1, "", "data_list_collater"], [22, 0, 0, "-", "embeddings"], [26, 0, 0, "-", "lmdb_database"], [27, 0, 0, "-", "lmdb_dataset"], [28, 0, 0, "-", "oc22_lmdb_dataset"], [29, 0, 0, "-", "target_metadata_guesser"]], "ocpmodels.datasets.AseDBDataset": [[25, 3, 1, "", "_load_dataset_get_ids"], [25, 3, 1, "", "close_db"], [25, 3, 1, "", "connect_db"], [25, 3, 1, "", "get_atoms"], [25, 3, 1, "", "get_metadata"], [25, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.AseReadDataset": [[25, 3, 1, "", "_load_dataset_get_ids"], [25, 3, 1, "", "get_atoms"], [25, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.AseReadMultiStructureDataset": [[25, 3, 1, "", "_load_dataset_get_ids"], [25, 3, 1, "", "get_atoms"], [25, 3, 1, "", "get_metadata"], [25, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.LMDBDatabase": [[25, 3, 1, "", "__enter__"], [25, 3, 1, "", "__exit__"], [25, 3, 1, "", "_get_row"], [25, 3, 1, "", "_get_row_by_index"], [25, 3, 1, "", "_load_ids"], [25, 4, 1, "", "_nextid"], [25, 3, 1, "", "_select"], [25, 3, 1, "", "_update"], [25, 3, 1, "", "_write"], [25, 3, 1, "", "_write_deleted_ids"], [25, 3, 1, "", "close"], [25, 3, 1, "", "count"], [25, 3, 1, "", "delete"], [25, 4, 1, "", "metadata"]], "ocpmodels.datasets.LmdbDataset": [[25, 3, 1, "", "__getitem__"], [25, 3, 1, "", "__len__"], [25, 3, 1, "", "close_db"], [25, 3, 1, "", "connect_db"], [25, 3, 1, "", "get_metadata"], [25, 6, 1, "", "metadata_path"], [25, 6, 1, "", "sharded"]], "ocpmodels.datasets.OC22LmdbDataset": [[25, 3, 1, "", "__getitem__"], [25, 3, 1, "", "__len__"], [25, 3, 1, "", "close_db"], [25, 3, 1, "", "connect_db"]], "ocpmodels.datasets._utils": [[18, 5, 1, "", "rename_data_object_keys"]], "ocpmodels.datasets.ase_datasets": [[19, 2, 1, "", "AseAtomsDataset"], [19, 2, 1, "", "AseDBDataset"], [19, 2, 1, "", "AseReadDataset"], [19, 2, 1, "", "AseReadMultiStructureDataset"], [19, 5, 1, "", "apply_one_tags"]], "ocpmodels.datasets.ase_datasets.AseAtomsDataset": [[19, 3, 1, "", "__getitem__"], [19, 3, 1, "", "__len__"], [19, 3, 1, "", "_load_dataset_get_ids"], [19, 3, 1, "", "close_db"], [19, 3, 1, "", "get_atoms"], [19, 3, 1, "", "get_metadata"], [19, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.ase_datasets.AseDBDataset": [[19, 3, 1, "", "_load_dataset_get_ids"], [19, 3, 1, "", "close_db"], [19, 3, 1, "", "connect_db"], [19, 3, 1, "", "get_atoms"], [19, 3, 1, "", "get_metadata"], [19, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.ase_datasets.AseReadDataset": [[19, 3, 1, "", "_load_dataset_get_ids"], [19, 3, 1, "", "get_atoms"], [19, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.ase_datasets.AseReadMultiStructureDataset": [[19, 3, 1, "", "_load_dataset_get_ids"], [19, 3, 1, "", "get_atoms"], [19, 3, 1, "", "get_metadata"], [19, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.embeddings": [[22, 1, 1, "", "ATOMIC_RADII"], [22, 1, 1, "", "CONTINUOUS_EMBEDDINGS"], [22, 1, 1, "", "KHOT_EMBEDDINGS"], [22, 1, 1, "", "QMOF_KHOT_EMBEDDINGS"], [20, 0, 0, "-", "atomic_radii"], [21, 0, 0, "-", "continuous_embeddings"], [23, 0, 0, "-", "khot_embeddings"], [24, 0, 0, "-", "qmof_khot_embeddings"]], "ocpmodels.datasets.embeddings.atomic_radii": [[20, 1, 1, "", "ATOMIC_RADII"]], "ocpmodels.datasets.embeddings.continuous_embeddings": [[21, 1, 1, "", "CONTINUOUS_EMBEDDINGS"]], "ocpmodels.datasets.embeddings.khot_embeddings": [[23, 1, 1, "", "KHOT_EMBEDDINGS"]], "ocpmodels.datasets.embeddings.qmof_khot_embeddings": [[24, 1, 1, "", "QMOF_KHOT_EMBEDDINGS"]], "ocpmodels.datasets.lmdb_database": [[26, 2, 1, "", "LMDBDatabase"], [26, 1, 1, "", "RESERVED_KEYS"]], "ocpmodels.datasets.lmdb_database.LMDBDatabase": [[26, 3, 1, "", "__enter__"], [26, 3, 1, "", "__exit__"], [26, 3, 1, "", "_get_row"], [26, 3, 1, "", "_get_row_by_index"], [26, 3, 1, "", "_load_ids"], [26, 4, 1, "", "_nextid"], [26, 3, 1, "", "_select"], [26, 3, 1, "", "_update"], [26, 3, 1, "", "_write"], [26, 3, 1, "", "_write_deleted_ids"], [26, 3, 1, "", "close"], [26, 3, 1, "", "count"], [26, 3, 1, "", "delete"], [26, 4, 1, "", "metadata"]], "ocpmodels.datasets.lmdb_dataset": [[27, 2, 1, "", "LmdbDataset"], [27, 2, 1, "", "SinglePointLmdbDataset"], [27, 1, 1, "", "T_co"], [27, 2, 1, "", "TrajectoryLmdbDataset"], [27, 5, 1, "", "data_list_collater"]], "ocpmodels.datasets.lmdb_dataset.LmdbDataset": [[27, 3, 1, "", "__getitem__"], [27, 3, 1, "", "__len__"], [27, 3, 1, "", "close_db"], [27, 3, 1, "", "connect_db"], [27, 3, 1, "", "get_metadata"], [27, 6, 1, "", "metadata_path"], [27, 6, 1, "", "sharded"]], "ocpmodels.datasets.oc22_lmdb_dataset": [[28, 2, 1, "", "OC22LmdbDataset"]], "ocpmodels.datasets.oc22_lmdb_dataset.OC22LmdbDataset": [[28, 3, 1, "", "__getitem__"], [28, 3, 1, "", "__len__"], [28, 3, 1, "", "close_db"], [28, 3, 1, "", "connect_db"]], "ocpmodels.datasets.target_metadata_guesser": [[29, 5, 1, "", "guess_property_metadata"], [29, 5, 1, "", "guess_target_metadata"], [29, 5, 1, "", "target_constant_shape"], [29, 5, 1, "", "target_extensive"], [29, 5, 1, "", "target_per_atom"], [29, 5, 1, "", "uniform_atoms_lengths"]], "ocpmodels.models": [[95, 1, 1, "", "available_pretrained_models"], [31, 0, 0, "-", "base"], [32, 0, 0, "-", "dimenet_plus_plus"], [38, 0, 0, "-", "equiformer_v2"], [52, 0, 0, "-", "escn"], [55, 0, 0, "-", "gemnet"], [68, 0, 0, "-", "gemnet_gp"], [81, 0, 0, "-", "gemnet_oc"], [95, 5, 1, "", "model_name_to_local_file"], [96, 0, 0, "-", "model_registry"], [97, 0, 0, "-", "painn"], [100, 0, 0, "-", "schnet"], [101, 0, 0, "-", "scn"], [108, 0, 0, "-", "utils"]], "ocpmodels.models.base": [[31, 2, 1, "", "BaseModel"]], "ocpmodels.models.base.BaseModel": [[31, 3, 1, "", "forward"], [31, 3, 1, "", "generate_graph"], [31, 3, 1, "", "no_weight_decay"], [31, 4, 1, "", "num_params"]], "ocpmodels.models.dimenet_plus_plus": [[32, 2, 1, "", "DimeNetPlusPlus"], [32, 2, 1, "", "DimeNetPlusPlusWrap"], [32, 2, 1, "", "InteractionPPBlock"], [32, 2, 1, "", "OutputPPBlock"], [32, 1, 1, "", "sym"]], "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlus": [[32, 3, 1, "", "forward"], [32, 3, 1, "", "reset_parameters"], [32, 3, 1, "", "triplets"], [32, 6, 1, "", "url"]], "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlusWrap": [[32, 3, 1, "", "_forward"], [32, 3, 1, "", "forward"], [32, 4, 1, "", "num_params"]], "ocpmodels.models.dimenet_plus_plus.InteractionPPBlock": [[32, 3, 1, "", "forward"], [32, 3, 1, "", "reset_parameters"]], "ocpmodels.models.dimenet_plus_plus.OutputPPBlock": [[32, 3, 1, "", "forward"], [32, 3, 1, "", "reset_parameters"]], "ocpmodels.models.equiformer_v2": [[38, 2, 1, "", "EquiformerV2"], [33, 0, 0, "-", "activation"], [34, 0, 0, "-", "drop"], [35, 0, 0, "-", "edge_rot_mat"], [36, 0, 0, "-", "equiformer_v2_oc20"], [37, 0, 0, "-", "gaussian_rbf"], [39, 0, 0, "-", "input_block"], [40, 0, 0, "-", "layer_norm"], [41, 0, 0, "-", "module_list"], [42, 0, 0, "-", "radial_function"], [43, 0, 0, "-", "so2_ops"], [44, 0, 0, "-", "so3"], [47, 0, 0, "-", "trainers"], [49, 0, 0, "-", "transformer_block"], [50, 0, 0, "-", "wigner"]], "ocpmodels.models.equiformer_v2.EquiformerV2": [[38, 3, 1, "", "_init_edge_rot_mat"], [38, 3, 1, "", "_init_weights"], [38, 3, 1, "", "_uniform_init_linear_weights"], [38, 3, 1, "", "_uniform_init_rad_func_linear_weights"], [38, 3, 1, "", "forward"], [38, 3, 1, "", "no_weight_decay"], [38, 4, 1, "", "num_params"]], "ocpmodels.models.equiformer_v2.activation": [[33, 2, 1, "", "GateActivation"], [33, 2, 1, "", "S2Activation"], [33, 2, 1, "", "ScaledSiLU"], [33, 2, 1, "", "ScaledSigmoid"], [33, 2, 1, "", "ScaledSmoothLeakyReLU"], [33, 2, 1, "", "ScaledSwiGLU"], [33, 2, 1, "", "SeparableS2Activation"], [33, 2, 1, "", "SmoothLeakyReLU"], [33, 2, 1, "", "SwiGLU"]], "ocpmodels.models.equiformer_v2.activation.GateActivation": [[33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.S2Activation": [[33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.ScaledSiLU": [[33, 3, 1, "", "extra_repr"], [33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.ScaledSigmoid": [[33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.ScaledSmoothLeakyReLU": [[33, 3, 1, "", "extra_repr"], [33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.ScaledSwiGLU": [[33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.SeparableS2Activation": [[33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.SmoothLeakyReLU": [[33, 3, 1, "", "extra_repr"], [33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.SwiGLU": [[33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.drop": [[34, 2, 1, "", "DropPath"], [34, 2, 1, "", "EquivariantDropout"], [34, 2, 1, "", "EquivariantDropoutArraySphericalHarmonics"], [34, 2, 1, "", "EquivariantScalarsDropout"], [34, 2, 1, "", "GraphDropPath"], [34, 5, 1, "", "drop_path"]], "ocpmodels.models.equiformer_v2.drop.DropPath": [[34, 3, 1, "", "extra_repr"], [34, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.drop.EquivariantDropout": [[34, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics": [[34, 3, 1, "", "extra_repr"], [34, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.drop.EquivariantScalarsDropout": [[34, 3, 1, "", "extra_repr"], [34, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.drop.GraphDropPath": [[34, 3, 1, "", "extra_repr"], [34, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.edge_rot_mat": [[35, 5, 1, "", "init_edge_rot_mat"]], "ocpmodels.models.equiformer_v2.equiformer_v2_oc20": [[36, 2, 1, "", "EquiformerV2_OC20"], [36, 1, 1, "", "_AVG_DEGREE"], [36, 1, 1, "", "_AVG_NUM_NODES"]], "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20": [[36, 3, 1, "", "_init_edge_rot_mat"], [36, 3, 1, "", "_init_weights"], [36, 3, 1, "", "_uniform_init_linear_weights"], [36, 3, 1, "", "_uniform_init_rad_func_linear_weights"], [36, 3, 1, "", "forward"], [36, 3, 1, "", "no_weight_decay"], [36, 4, 1, "", "num_params"]], "ocpmodels.models.equiformer_v2.gaussian_rbf": [[37, 2, 1, "", "GaussianRadialBasisLayer"], [37, 5, 1, "", "gaussian"]], "ocpmodels.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer": [[37, 3, 1, "", "extra_repr"], [37, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.input_block": [[39, 2, 1, "", "EdgeDegreeEmbedding"]], "ocpmodels.models.equiformer_v2.input_block.EdgeDegreeEmbedding": [[39, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.layer_norm": [[40, 2, 1, "", "EquivariantDegreeLayerScale"], [40, 2, 1, "", "EquivariantLayerNormArray"], [40, 2, 1, "", "EquivariantLayerNormArraySphericalHarmonics"], [40, 2, 1, "", "EquivariantRMSNormArraySphericalHarmonics"], [40, 2, 1, "", "EquivariantRMSNormArraySphericalHarmonicsV2"], [40, 5, 1, "", "get_l_to_all_m_expand_index"], [40, 5, 1, "", "get_normalization_layer"]], "ocpmodels.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale": [[40, 3, 1, "", "__repr__"], [40, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArray": [[40, 3, 1, "", "__repr__"], [40, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics": [[40, 3, 1, "", "__repr__"], [40, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics": [[40, 3, 1, "", "__repr__"], [40, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2": [[40, 3, 1, "", "__repr__"], [40, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.module_list": [[41, 2, 1, "", "ModuleListInfo"]], "ocpmodels.models.equiformer_v2.module_list.ModuleListInfo": [[41, 3, 1, "", "__repr__"]], "ocpmodels.models.equiformer_v2.radial_function": [[42, 2, 1, "", "RadialFunction"]], "ocpmodels.models.equiformer_v2.radial_function.RadialFunction": [[42, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.so2_ops": [[43, 2, 1, "", "SO2_Convolution"], [43, 2, 1, "", "SO2_Linear"], [43, 2, 1, "", "SO2_m_Convolution"]], "ocpmodels.models.equiformer_v2.so2_ops.SO2_Convolution": [[43, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.so2_ops.SO2_Linear": [[43, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.so2_ops.SO2_m_Convolution": [[43, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.so3": [[44, 2, 1, "", "CoefficientMappingModule"], [44, 2, 1, "", "SO3_Embedding"], [44, 2, 1, "", "SO3_Grid"], [44, 2, 1, "", "SO3_Linear"], [44, 2, 1, "", "SO3_LinearV2"], [44, 2, 1, "", "SO3_Rotation"]], "ocpmodels.models.equiformer_v2.so3.CoefficientMappingModule": [[44, 3, 1, "", "__repr__"], [44, 3, 1, "", "coefficient_idx"], [44, 3, 1, "", "complex_idx"], [44, 3, 1, "", "get_rotate_inv_rescale"]], "ocpmodels.models.equiformer_v2.so3.SO3_Embedding": [[44, 3, 1, "", "_expand_edge"], [44, 3, 1, "", "_from_grid"], [44, 3, 1, "", "_grid_act"], [44, 3, 1, "", "_l_primary"], [44, 3, 1, "", "_m_primary"], [44, 3, 1, "", "_reduce_edge"], [44, 3, 1, "", "_rotate"], [44, 3, 1, "", "_rotate_inv"], [44, 3, 1, "", "clone"], [44, 3, 1, "", "expand_edge"], [44, 3, 1, "", "set_embedding"], [44, 3, 1, "", "set_lmax_mmax"], [44, 3, 1, "", "to_grid"]], "ocpmodels.models.equiformer_v2.so3.SO3_Grid": [[44, 3, 1, "", "from_grid"], [44, 3, 1, "", "get_from_grid_mat"], [44, 3, 1, "", "get_to_grid_mat"], [44, 3, 1, "", "to_grid"]], "ocpmodels.models.equiformer_v2.so3.SO3_Linear": [[44, 3, 1, "", "__repr__"], [44, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.so3.SO3_LinearV2": [[44, 3, 1, "", "__repr__"], [44, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.so3.SO3_Rotation": [[44, 3, 1, "", "RotationToWignerDMatrix"], [44, 3, 1, "", "rotate"], [44, 3, 1, "", "rotate_inv"], [44, 3, 1, "", "set_wigner"]], "ocpmodels.models.equiformer_v2.trainers": [[45, 0, 0, "-", "energy_trainer"], [46, 0, 0, "-", "forces_trainer"], [48, 0, 0, "-", "lr_scheduler"]], "ocpmodels.models.equiformer_v2.trainers.energy_trainer": [[45, 2, 1, "", "EquiformerV2EnergyTrainer"]], "ocpmodels.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer": [[45, 3, 1, "", "load_extras"]], "ocpmodels.models.equiformer_v2.trainers.forces_trainer": [[46, 2, 1, "", "EquiformerV2ForcesTrainer"]], "ocpmodels.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer": [[46, 3, 1, "", "load_extras"]], "ocpmodels.models.equiformer_v2.trainers.lr_scheduler": [[48, 2, 1, "", "CosineLRLambda"], [48, 2, 1, "", "LRScheduler"], [48, 2, 1, "", "MultistepLRLambda"], [48, 5, 1, "", "cosine_lr_lambda"], [48, 5, 1, "", "multiply"], [48, 5, 1, "", "multistep_lr_lambda"]], "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda": [[48, 3, 1, "", "__call__"]], "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.LRScheduler": [[48, 3, 1, "", "filter_kwargs"], [48, 3, 1, "", "get_lr"], [48, 3, 1, "", "step"]], "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda": [[48, 3, 1, "", "__call__"]], "ocpmodels.models.equiformer_v2.transformer_block": [[49, 2, 1, "", "FeedForwardNetwork"], [49, 2, 1, "", "SO2EquivariantGraphAttention"], [49, 2, 1, "", "TransBlockV2"]], "ocpmodels.models.equiformer_v2.transformer_block.FeedForwardNetwork": [[49, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention": [[49, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.transformer_block.TransBlockV2": [[49, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.wigner": [[50, 1, 1, "", "_Jd"], [50, 5, 1, "", "_z_rot_mat"], [50, 5, 1, "", "wigner_D"]], "ocpmodels.models.escn": [[52, 2, 1, "", "eSCN"], [51, 0, 0, "-", "escn"], [53, 0, 0, "-", "so3"]], "ocpmodels.models.escn.eSCN": [[52, 3, 1, "", "_init_edge_rot_mat"], [52, 3, 1, "", "forward"], [52, 4, 1, "", "num_params"]], "ocpmodels.models.escn.escn": [[51, 2, 1, "", "EdgeBlock"], [51, 2, 1, "", "EnergyBlock"], [51, 2, 1, "", "ForceBlock"], [51, 2, 1, "", "LayerBlock"], [51, 2, 1, "", "MessageBlock"], [51, 2, 1, "", "SO2Block"], [51, 2, 1, "", "SO2Conv"], [51, 2, 1, "", "eSCN"]], "ocpmodels.models.escn.escn.EdgeBlock": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.EnergyBlock": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.ForceBlock": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.LayerBlock": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.MessageBlock": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.SO2Block": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.SO2Conv": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.eSCN": [[51, 3, 1, "", "_init_edge_rot_mat"], [51, 3, 1, "", "forward"], [51, 4, 1, "", "num_params"]], "ocpmodels.models.escn.so3": [[53, 2, 1, "", "CoefficientMapping"], [53, 2, 1, "", "SO3_Embedding"], [53, 2, 1, "", "SO3_Grid"], [53, 2, 1, "", "SO3_Rotation"], [53, 1, 1, "", "_Jd"]], "ocpmodels.models.escn.so3.CoefficientMapping": [[53, 3, 1, "", "coefficient_idx"], [53, 3, 1, "", "complex_idx"]], "ocpmodels.models.escn.so3.SO3_Embedding": [[53, 3, 1, "", "_expand_edge"], [53, 3, 1, "", "_from_grid"], [53, 3, 1, "", "_grid_act"], [53, 3, 1, "", "_l_primary"], [53, 3, 1, "", "_m_primary"], [53, 3, 1, "", "_reduce_edge"], [53, 3, 1, "", "_rotate"], [53, 3, 1, "", "_rotate_inv"], [53, 3, 1, "", "clone"], [53, 3, 1, "", "expand_edge"], [53, 3, 1, "", "set_embedding"], [53, 3, 1, "", "set_lmax_mmax"], [53, 3, 1, "", "to_grid"]], "ocpmodels.models.escn.so3.SO3_Grid": [[53, 3, 1, "", "_initialize"], [53, 3, 1, "", "from_grid"], [53, 3, 1, "", "get_from_grid_mat"], [53, 3, 1, "", "get_to_grid_mat"], [53, 3, 1, "", "to_grid"]], "ocpmodels.models.escn.so3.SO3_Rotation": [[53, 3, 1, "", "RotationToWignerDMatrix"], [53, 3, 1, "", "_z_rot_mat"], [53, 3, 1, "", "rotate"], [53, 3, 1, "", "rotate_inv"], [53, 3, 1, "", "set_lmax"], [53, 3, 1, "", "wigner_D"]], "ocpmodels.models.gemnet": [[55, 2, 1, "", "GemNetT"], [54, 0, 0, "-", "gemnet"], [56, 0, 0, "-", "initializers"], [62, 0, 0, "-", "layers"], [66, 0, 0, "-", "utils"]], "ocpmodels.models.gemnet.GemNetT": [[55, 3, 1, "", "forward"], [55, 3, 1, "", "generate_interaction_graph"], [55, 3, 1, "", "get_triplets"], [55, 4, 1, "", "num_params"], [55, 3, 1, "", "reorder_symmetric_edges"], [55, 3, 1, "", "select_edges"], [55, 3, 1, "", "select_symmetric_edges"]], "ocpmodels.models.gemnet.gemnet": [[54, 2, 1, "", "GemNetT"]], "ocpmodels.models.gemnet.gemnet.GemNetT": [[54, 3, 1, "", "forward"], [54, 3, 1, "", "generate_interaction_graph"], [54, 3, 1, "", "get_triplets"], [54, 4, 1, "", "num_params"], [54, 3, 1, "", "reorder_symmetric_edges"], [54, 3, 1, "", "select_edges"], [54, 3, 1, "", "select_symmetric_edges"]], "ocpmodels.models.gemnet.initializers": [[56, 5, 1, "", "_standardize"], [56, 5, 1, "", "he_orthogonal_init"]], "ocpmodels.models.gemnet.layers": [[57, 0, 0, "-", "atom_update_block"], [58, 0, 0, "-", "base_layers"], [59, 0, 0, "-", "basis_utils"], [60, 0, 0, "-", "efficient"], [61, 0, 0, "-", "embedding_block"], [63, 0, 0, "-", "interaction_block"], [64, 0, 0, "-", "radial_basis"], [65, 0, 0, "-", "spherical_basis"]], "ocpmodels.models.gemnet.layers.atom_update_block": [[57, 2, 1, "", "AtomUpdateBlock"], [57, 2, 1, "", "OutputBlock"]], "ocpmodels.models.gemnet.layers.atom_update_block.AtomUpdateBlock": [[57, 3, 1, "", "forward"], [57, 3, 1, "", "get_mlp"]], "ocpmodels.models.gemnet.layers.atom_update_block.OutputBlock": [[57, 3, 1, "", "forward"], [57, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet.layers.base_layers": [[58, 2, 1, "", "Dense"], [58, 2, 1, "", "ResidualLayer"], [58, 2, 1, "", "ScaledSiLU"], [58, 2, 1, "", "SiQU"]], "ocpmodels.models.gemnet.layers.base_layers.Dense": [[58, 3, 1, "", "forward"], [58, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet.layers.base_layers.ResidualLayer": [[58, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.base_layers.ScaledSiLU": [[58, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.base_layers.SiQU": [[58, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.basis_utils": [[59, 5, 1, "", "Jn"], [59, 5, 1, "", "Jn_zeros"], [59, 5, 1, "", "associated_legendre_polynomials"], [59, 5, 1, "", "bessel_basis"], [59, 5, 1, "", "real_sph_harm"], [59, 5, 1, "", "sph_harm_prefactor"], [59, 5, 1, "", "spherical_bessel_formulas"]], "ocpmodels.models.gemnet.layers.efficient": [[60, 2, 1, "", "EfficientInteractionBilinear"], [60, 2, 1, "", "EfficientInteractionDownProjection"]], "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionBilinear": [[60, 3, 1, "", "forward"], [60, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionDownProjection": [[60, 3, 1, "", "forward"], [60, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet.layers.embedding_block": [[61, 2, 1, "", "AtomEmbedding"], [61, 2, 1, "", "EdgeEmbedding"]], "ocpmodels.models.gemnet.layers.embedding_block.AtomEmbedding": [[61, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.embedding_block.EdgeEmbedding": [[61, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.interaction_block": [[63, 2, 1, "", "InteractionBlockTripletsOnly"], [63, 2, 1, "", "TripletInteraction"]], "ocpmodels.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly": [[63, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.interaction_block.TripletInteraction": [[63, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.radial_basis": [[64, 2, 1, "", "BernsteinBasis"], [64, 2, 1, "", "ExponentialEnvelope"], [64, 2, 1, "", "PolynomialEnvelope"], [64, 2, 1, "", "RadialBasis"], [64, 2, 1, "", "SphericalBesselBasis"]], "ocpmodels.models.gemnet.layers.radial_basis.BernsteinBasis": [[64, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.radial_basis.ExponentialEnvelope": [[64, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.radial_basis.PolynomialEnvelope": [[64, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.radial_basis.RadialBasis": [[64, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.radial_basis.SphericalBesselBasis": [[64, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.spherical_basis": [[65, 2, 1, "", "CircularBasisLayer"]], "ocpmodels.models.gemnet.layers.spherical_basis.CircularBasisLayer": [[65, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.utils": [[66, 5, 1, "", "calculate_interatomic_vectors"], [66, 5, 1, "", "inner_product_normalized"], [66, 5, 1, "", "mask_neighbors"], [66, 5, 1, "", "ragged_range"], [66, 5, 1, "", "read_json"], [66, 5, 1, "", "read_value_json"], [66, 5, 1, "", "repeat_blocks"], [66, 5, 1, "", "update_json"], [66, 5, 1, "", "write_json"]], "ocpmodels.models.gemnet_gp": [[68, 2, 1, "", "GraphParallelGemNetT"], [67, 0, 0, "-", "gemnet"], [69, 0, 0, "-", "initializers"], [75, 0, 0, "-", "layers"], [79, 0, 0, "-", "utils"]], "ocpmodels.models.gemnet_gp.GraphParallelGemNetT": [[68, 3, 1, "", "forward"], [68, 3, 1, "", "generate_interaction_graph"], [68, 3, 1, "", "get_triplets"], [68, 4, 1, "", "num_params"], [68, 3, 1, "", "reorder_symmetric_edges"], [68, 3, 1, "", "select_edges"], [68, 3, 1, "", "select_symmetric_edges"]], "ocpmodels.models.gemnet_gp.gemnet": [[67, 2, 1, "", "GraphParallelGemNetT"]], "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT": [[67, 3, 1, "", "forward"], [67, 3, 1, "", "generate_interaction_graph"], [67, 3, 1, "", "get_triplets"], [67, 4, 1, "", "num_params"], [67, 3, 1, "", "reorder_symmetric_edges"], [67, 3, 1, "", "select_edges"], [67, 3, 1, "", "select_symmetric_edges"]], "ocpmodels.models.gemnet_gp.initializers": [[69, 5, 1, "", "_standardize"], [69, 5, 1, "", "he_orthogonal_init"]], "ocpmodels.models.gemnet_gp.layers": [[70, 0, 0, "-", "atom_update_block"], [71, 0, 0, "-", "base_layers"], [72, 0, 0, "-", "basis_utils"], [73, 0, 0, "-", "efficient"], [74, 0, 0, "-", "embedding_block"], [76, 0, 0, "-", "interaction_block"], [77, 0, 0, "-", "radial_basis"], [78, 0, 0, "-", "spherical_basis"]], "ocpmodels.models.gemnet_gp.layers.atom_update_block": [[70, 2, 1, "", "AtomUpdateBlock"], [70, 2, 1, "", "OutputBlock"], [70, 5, 1, "", "scatter_sum"]], "ocpmodels.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock": [[70, 3, 1, "", "forward"], [70, 3, 1, "", "get_mlp"]], "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock": [[70, 6, 1, "", "dense_rbf_F"], [70, 3, 1, "", "forward"], [70, 6, 1, "", "out_energy"], [70, 6, 1, "", "out_forces"], [70, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet_gp.layers.base_layers": [[71, 2, 1, "", "Dense"], [71, 2, 1, "", "ResidualLayer"], [71, 2, 1, "", "ScaledSiLU"], [71, 2, 1, "", "SiQU"]], "ocpmodels.models.gemnet_gp.layers.base_layers.Dense": [[71, 3, 1, "", "forward"], [71, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet_gp.layers.base_layers.ResidualLayer": [[71, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.base_layers.ScaledSiLU": [[71, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.base_layers.SiQU": [[71, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.basis_utils": [[72, 5, 1, "", "Jn"], [72, 5, 1, "", "Jn_zeros"], [72, 5, 1, "", "associated_legendre_polynomials"], [72, 5, 1, "", "bessel_basis"], [72, 5, 1, "", "real_sph_harm"], [72, 5, 1, "", "sph_harm_prefactor"], [72, 5, 1, "", "spherical_bessel_formulas"]], "ocpmodels.models.gemnet_gp.layers.efficient": [[73, 2, 1, "", "EfficientInteractionBilinear"], [73, 2, 1, "", "EfficientInteractionDownProjection"]], "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear": [[73, 3, 1, "", "forward"], [73, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection": [[73, 3, 1, "", "forward"], [73, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet_gp.layers.embedding_block": [[74, 2, 1, "", "AtomEmbedding"], [74, 2, 1, "", "EdgeEmbedding"]], "ocpmodels.models.gemnet_gp.layers.embedding_block.AtomEmbedding": [[74, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.embedding_block.EdgeEmbedding": [[74, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.interaction_block": [[76, 2, 1, "", "InteractionBlockTripletsOnly"], [76, 2, 1, "", "TripletInteraction"]], "ocpmodels.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly": [[76, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.interaction_block.TripletInteraction": [[76, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.radial_basis": [[77, 2, 1, "", "BernsteinBasis"], [77, 2, 1, "", "ExponentialEnvelope"], [77, 2, 1, "", "PolynomialEnvelope"], [77, 2, 1, "", "RadialBasis"], [77, 2, 1, "", "SphericalBesselBasis"]], "ocpmodels.models.gemnet_gp.layers.radial_basis.BernsteinBasis": [[77, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope": [[77, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope": [[77, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.radial_basis.RadialBasis": [[77, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis": [[77, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.spherical_basis": [[78, 2, 1, "", "CircularBasisLayer"]], "ocpmodels.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer": [[78, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.utils": [[79, 5, 1, "", "calculate_interatomic_vectors"], [79, 5, 1, "", "inner_product_normalized"], [79, 5, 1, "", "mask_neighbors"], [79, 5, 1, "", "ragged_range"], [79, 5, 1, "", "read_json"], [79, 5, 1, "", "read_value_json"], [79, 5, 1, "", "repeat_blocks"], [79, 5, 1, "", "update_json"], [79, 5, 1, "", "write_json"]], "ocpmodels.models.gemnet_oc": [[81, 2, 1, "", "GemNetOC"], [80, 0, 0, "-", "gemnet_oc"], [82, 0, 0, "-", "initializers"], [83, 0, 0, "-", "interaction_indices"], [90, 0, 0, "-", "layers"], [94, 0, 0, "-", "utils"]], "ocpmodels.models.gemnet_oc.GemNetOC": [[81, 3, 1, "", "calculate_quad_angles"], [81, 3, 1, "", "forward"], [81, 3, 1, "", "generate_graph_dict"], [81, 3, 1, "", "get_bases"], [81, 3, 1, "", "get_graphs_and_indices"], [81, 3, 1, "", "init_basis_functions"], [81, 3, 1, "", "init_shared_basis_layers"], [81, 4, 1, "", "num_params"], [81, 3, 1, "", "select_symmetric_edges"], [81, 3, 1, "", "set_cutoffs"], [81, 3, 1, "", "set_max_neighbors"], [81, 3, 1, "", "subselect_edges"], [81, 3, 1, "", "subselect_graph"], [81, 3, 1, "", "symmetrize_edges"]], "ocpmodels.models.gemnet_oc.gemnet_oc": [[80, 2, 1, "", "GemNetOC"]], "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC": [[80, 3, 1, "", "calculate_quad_angles"], [80, 3, 1, "", "forward"], [80, 3, 1, "", "generate_graph_dict"], [80, 3, 1, "", "get_bases"], [80, 3, 1, "", "get_graphs_and_indices"], [80, 3, 1, "", "init_basis_functions"], [80, 3, 1, "", "init_shared_basis_layers"], [80, 4, 1, "", "num_params"], [80, 3, 1, "", "select_symmetric_edges"], [80, 3, 1, "", "set_cutoffs"], [80, 3, 1, "", "set_max_neighbors"], [80, 3, 1, "", "subselect_edges"], [80, 3, 1, "", "subselect_graph"], [80, 3, 1, "", "symmetrize_edges"]], "ocpmodels.models.gemnet_oc.initializers": [[82, 5, 1, "", "_standardize"], [82, 5, 1, "", "get_initializer"], [82, 5, 1, "", "grid_init"], [82, 5, 1, "", "he_orthogonal_init"], [82, 5, 1, "", "log_grid_init"]], "ocpmodels.models.gemnet_oc.interaction_indices": [[83, 5, 1, "", "get_mixed_triplets"], [83, 5, 1, "", "get_quadruplets"], [83, 5, 1, "", "get_triplets"]], "ocpmodels.models.gemnet_oc.layers": [[84, 0, 0, "-", "atom_update_block"], [85, 0, 0, "-", "base_layers"], [86, 0, 0, "-", "basis_utils"], [87, 0, 0, "-", "efficient"], [88, 0, 0, "-", "embedding_block"], [89, 0, 0, "-", "force_scaler"], [91, 0, 0, "-", "interaction_block"], [92, 0, 0, "-", "radial_basis"], [93, 0, 0, "-", "spherical_basis"]], "ocpmodels.models.gemnet_oc.layers.atom_update_block": [[84, 2, 1, "", "AtomUpdateBlock"], [84, 2, 1, "", "OutputBlock"]], "ocpmodels.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock": [[84, 3, 1, "", "forward"], [84, 3, 1, "", "get_mlp"]], "ocpmodels.models.gemnet_oc.layers.atom_update_block.OutputBlock": [[84, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.base_layers": [[85, 2, 1, "", "Dense"], [85, 2, 1, "", "ResidualLayer"], [85, 2, 1, "", "ScaledSiLU"]], "ocpmodels.models.gemnet_oc.layers.base_layers.Dense": [[85, 3, 1, "", "forward"], [85, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet_oc.layers.base_layers.ResidualLayer": [[85, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.base_layers.ScaledSiLU": [[85, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.basis_utils": [[86, 5, 1, "", "Jn"], [86, 5, 1, "", "Jn_zeros"], [86, 5, 1, "", "associated_legendre_polynomials"], [86, 5, 1, "", "bessel_basis"], [86, 5, 1, "", "get_sph_harm_basis"], [86, 5, 1, "", "real_sph_harm"], [86, 5, 1, "", "sph_harm_prefactor"], [86, 5, 1, "", "spherical_bessel_formulas"]], "ocpmodels.models.gemnet_oc.layers.efficient": [[87, 2, 1, "", "BasisEmbedding"], [87, 2, 1, "", "EfficientInteractionBilinear"]], "ocpmodels.models.gemnet_oc.layers.efficient.BasisEmbedding": [[87, 3, 1, "", "forward"], [87, 3, 1, "", "reset_parameters"], [87, 6, 1, "", "weight"]], "ocpmodels.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear": [[87, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.embedding_block": [[88, 2, 1, "", "AtomEmbedding"], [88, 2, 1, "", "EdgeEmbedding"]], "ocpmodels.models.gemnet_oc.layers.embedding_block.AtomEmbedding": [[88, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.embedding_block.EdgeEmbedding": [[88, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.force_scaler": [[89, 2, 1, "", "ForceScaler"]], "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler": [[89, 3, 1, "", "calc_forces"], [89, 3, 1, "", "calc_forces_and_update"], [89, 3, 1, "", "scale"], [89, 3, 1, "", "unscale"], [89, 3, 1, "", "update"]], "ocpmodels.models.gemnet_oc.layers.interaction_block": [[91, 2, 1, "", "InteractionBlock"], [91, 2, 1, "", "PairInteraction"], [91, 2, 1, "", "QuadrupletInteraction"], [91, 2, 1, "", "TripletInteraction"]], "ocpmodels.models.gemnet_oc.layers.interaction_block.InteractionBlock": [[91, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.interaction_block.PairInteraction": [[91, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction": [[91, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.interaction_block.TripletInteraction": [[91, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.radial_basis": [[92, 2, 1, "", "BernsteinBasis"], [92, 2, 1, "", "ExponentialEnvelope"], [92, 2, 1, "", "GaussianBasis"], [92, 2, 1, "", "PolynomialEnvelope"], [92, 2, 1, "", "RadialBasis"], [92, 2, 1, "", "SphericalBesselBasis"]], "ocpmodels.models.gemnet_oc.layers.radial_basis.BernsteinBasis": [[92, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope": [[92, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.radial_basis.GaussianBasis": [[92, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope": [[92, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.radial_basis.RadialBasis": [[92, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis": [[92, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.spherical_basis": [[93, 2, 1, "", "CircularBasisLayer"], [93, 2, 1, "", "SphericalBasisLayer"]], "ocpmodels.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer": [[93, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer": [[93, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.utils": [[94, 5, 1, "", "calculate_interatomic_vectors"], [94, 5, 1, "", "get_angle"], [94, 5, 1, "", "get_edge_id"], [94, 5, 1, "", "get_inner_idx"], [94, 5, 1, "", "get_neighbor_order"], [94, 5, 1, "", "get_projected_angle"], [94, 5, 1, "", "inner_product_clamped"], [94, 5, 1, "", "mask_neighbors"], [94, 5, 1, "", "masked_select_sparsetensor_flat"], [94, 5, 1, "", "ragged_range"], [94, 5, 1, "", "repeat_blocks"], [94, 5, 1, "", "vector_rejection"]], "ocpmodels.models.model_registry": [[96, 1, 1, "", "MODEL_REGISTRY"], [96, 1, 1, "", "available_pretrained_models"], [96, 5, 1, "", "model_name_to_local_file"]], "ocpmodels.models.painn": [[97, 2, 1, "", "PaiNN"], [98, 0, 0, "-", "painn"], [99, 0, 0, "-", "utils"]], "ocpmodels.models.painn.PaiNN": [[97, 3, 1, "", "__repr__"], [97, 3, 1, "", "forward"], [97, 3, 1, "", "generate_graph_values"], [97, 4, 1, "", "num_params"], [97, 3, 1, "", "reset_parameters"], [97, 3, 1, "", "select_symmetric_edges"], [97, 3, 1, "", "symmetrize_edges"]], "ocpmodels.models.painn.painn": [[98, 2, 1, "", "GatedEquivariantBlock"], [98, 2, 1, "", "PaiNN"], [98, 2, 1, "", "PaiNNMessage"], [98, 2, 1, "", "PaiNNOutput"], [98, 2, 1, "", "PaiNNUpdate"]], "ocpmodels.models.painn.painn.GatedEquivariantBlock": [[98, 3, 1, "", "forward"], [98, 3, 1, "", "reset_parameters"]], "ocpmodels.models.painn.painn.PaiNN": [[98, 3, 1, "", "__repr__"], [98, 3, 1, "", "forward"], [98, 3, 1, "", "generate_graph_values"], [98, 4, 1, "", "num_params"], [98, 3, 1, "", "reset_parameters"], [98, 3, 1, "", "select_symmetric_edges"], [98, 3, 1, "", "symmetrize_edges"]], "ocpmodels.models.painn.painn.PaiNNMessage": [[98, 3, 1, "", "aggregate"], [98, 3, 1, "", "forward"], [98, 3, 1, "", "message"], [98, 3, 1, "", "reset_parameters"], [98, 3, 1, "", "update"]], "ocpmodels.models.painn.painn.PaiNNOutput": [[98, 3, 1, "", "forward"], [98, 3, 1, "", "reset_parameters"]], "ocpmodels.models.painn.painn.PaiNNUpdate": [[98, 3, 1, "", "forward"], [98, 3, 1, "", "reset_parameters"]], "ocpmodels.models.painn.utils": [[99, 5, 1, "", "get_edge_id"], [99, 5, 1, "", "repeat_blocks"]], "ocpmodels.models.schnet": [[100, 2, 1, "", "SchNetWrap"]], "ocpmodels.models.schnet.SchNetWrap": [[100, 3, 1, "", "_forward"], [100, 3, 1, "", "forward"], [100, 4, 1, "", "num_params"]], "ocpmodels.models.scn": [[101, 2, 1, "", "SphericalChannelNetwork"], [102, 0, 0, "-", "sampling"], [103, 0, 0, "-", "scn"], [104, 0, 0, "-", "smearing"], [105, 0, 0, "-", "spherical_harmonics"]], "ocpmodels.models.scn.SphericalChannelNetwork": [[101, 3, 1, "", "_forward_helper"], [101, 3, 1, "", "_init_edge_rot_mat"], [101, 3, 1, "", "_rank_edge_distances"], [101, 6, 1, "", "energy_fc1"], [101, 6, 1, "", "energy_fc2"], [101, 6, 1, "", "energy_fc3"], [101, 6, 1, "", "force_fc1"], [101, 6, 1, "", "force_fc2"], [101, 6, 1, "", "force_fc3"], [101, 3, 1, "", "forward"], [101, 4, 1, "", "num_params"]], "ocpmodels.models.scn.sampling": [[102, 5, 1, "", "CalcSpherePoints"], [102, 5, 1, "", "CalcSpherePointsRandom"]], "ocpmodels.models.scn.scn": [[103, 2, 1, "", "DistanceBlock"], [103, 2, 1, "", "EdgeBlock"], [103, 2, 1, "", "MessageBlock"], [103, 2, 1, "", "SphericalChannelNetwork"]], "ocpmodels.models.scn.scn.DistanceBlock": [[103, 3, 1, "", "forward"]], "ocpmodels.models.scn.scn.EdgeBlock": [[103, 3, 1, "", "forward"]], "ocpmodels.models.scn.scn.MessageBlock": [[103, 3, 1, "", "forward"]], "ocpmodels.models.scn.scn.SphericalChannelNetwork": [[103, 3, 1, "", "_forward_helper"], [103, 3, 1, "", "_init_edge_rot_mat"], [103, 3, 1, "", "_rank_edge_distances"], [103, 6, 1, "", "energy_fc1"], [103, 6, 1, "", "energy_fc2"], [103, 6, 1, "", "energy_fc3"], [103, 6, 1, "", "force_fc1"], [103, 6, 1, "", "force_fc2"], [103, 6, 1, "", "force_fc3"], [103, 3, 1, "", "forward"], [103, 4, 1, "", "num_params"]], "ocpmodels.models.scn.smearing": [[104, 2, 1, "", "GaussianSmearing"], [104, 2, 1, "", "LinearSigmoidSmearing"], [104, 2, 1, "", "SiLUSmearing"], [104, 2, 1, "", "SigmoidSmearing"]], "ocpmodels.models.scn.smearing.GaussianSmearing": [[104, 3, 1, "", "forward"]], "ocpmodels.models.scn.smearing.LinearSigmoidSmearing": [[104, 3, 1, "", "forward"]], "ocpmodels.models.scn.smearing.SiLUSmearing": [[104, 3, 1, "", "forward"]], "ocpmodels.models.scn.smearing.SigmoidSmearing": [[104, 3, 1, "", "forward"]], "ocpmodels.models.scn.spherical_harmonics": [[105, 2, 1, "", "SphericalHarmonicsHelper"], [105, 1, 1, "", "_Jd"], [105, 5, 1, "", "_z_rot_mat"], [105, 5, 1, "", "wigner_D"]], "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper": [[105, 3, 1, "", "CombineYRotations"], [105, 3, 1, "", "FlipGrid"], [105, 3, 1, "", "FromGrid"], [105, 3, 1, "", "InitWignerDMatrix"], [105, 3, 1, "", "InitYRotMapping"], [105, 3, 1, "", "Rotate"], [105, 3, 1, "", "RotateInv"], [105, 3, 1, "", "RotateWigner"], [105, 3, 1, "", "RotationMatrix"], [105, 3, 1, "", "RotationToWignerDMatrix"], [105, 3, 1, "", "ToGrid"]], "ocpmodels.models.utils": [[106, 0, 0, "-", "activations"], [107, 0, 0, "-", "basis"]], "ocpmodels.models.utils.activations": [[106, 2, 1, "", "Act"]], "ocpmodels.models.utils.activations.Act": [[106, 3, 1, "", "forward"]], "ocpmodels.models.utils.basis": [[107, 2, 1, "", "Basis"], [107, 2, 1, "", "FourierSmearing"], [107, 2, 1, "", "GaussianSmearing"], [107, 2, 1, "", "SINESmearing"], [107, 2, 1, "", "SIREN"], [107, 2, 1, "", "Sine"], [107, 2, 1, "", "SphericalSmearing"]], "ocpmodels.models.utils.basis.Basis": [[107, 3, 1, "", "forward"], [107, 6, 1, "", "smearing"]], "ocpmodels.models.utils.basis.FourierSmearing": [[107, 3, 1, "", "forward"]], "ocpmodels.models.utils.basis.GaussianSmearing": [[107, 3, 1, "", "forward"]], "ocpmodels.models.utils.basis.SINESmearing": [[107, 3, 1, "", "forward"]], "ocpmodels.models.utils.basis.SIREN": [[107, 3, 1, "", "forward"]], "ocpmodels.models.utils.basis.Sine": [[107, 3, 1, "", "forward"]], "ocpmodels.models.utils.basis.SphericalSmearing": [[107, 3, 1, "", "forward"], [107, 6, 1, "", "m"], [107, 6, 1, "", "n"]], "ocpmodels.modules": [[109, 0, 0, "-", "evaluator"], [110, 0, 0, "-", "exponential_moving_average"], [112, 0, 0, "-", "loss"], [113, 0, 0, "-", "normalizer"], [116, 0, 0, "-", "scaling"], [119, 0, 0, "-", "scheduler"], [120, 0, 0, "-", "transforms"]], "ocpmodels.modules.evaluator": [[109, 2, 1, "", "Evaluator"], [109, 1, 1, "", "NONE"], [109, 5, 1, "", "average_distance_within_threshold"], [109, 5, 1, "", "cosine_similarity"], [109, 5, 1, "", "energy_forces_within_threshold"], [109, 5, 1, "", "energy_within_threshold"], [109, 5, 1, "", "forcesx_mae"], [109, 5, 1, "", "forcesx_mse"], [109, 5, 1, "", "forcesy_mae"], [109, 5, 1, "", "forcesy_mse"], [109, 5, 1, "", "forcesz_mae"], [109, 5, 1, "", "forcesz_mse"], [109, 5, 1, "", "mae"], [109, 5, 1, "", "magnitude_error"], [109, 5, 1, "", "min_diff"], [109, 5, 1, "", "mse"]], "ocpmodels.modules.evaluator.Evaluator": [[109, 3, 1, "", "eval"], [109, 6, 1, "", "task_metrics"], [109, 6, 1, "", "task_primary_metric"], [109, 3, 1, "", "update"]], "ocpmodels.modules.exponential_moving_average": [[110, 2, 1, "", "ExponentialMovingAverage"]], "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage": [[110, 3, 1, "", "_get_parameters"], [110, 3, 1, "", "copy_to"], [110, 3, 1, "", "load_state_dict"], [110, 3, 1, "", "restore"], [110, 3, 1, "", "state_dict"], [110, 3, 1, "", "store"], [110, 3, 1, "", "update"]], "ocpmodels.modules.loss": [[112, 2, 1, "", "AtomwiseL2Loss"], [112, 2, 1, "", "DDPLoss"], [112, 2, 1, "", "L2MAELoss"]], "ocpmodels.modules.loss.AtomwiseL2Loss": [[112, 3, 1, "", "forward"]], "ocpmodels.modules.loss.DDPLoss": [[112, 3, 1, "", "forward"]], "ocpmodels.modules.loss.L2MAELoss": [[112, 3, 1, "", "forward"]], "ocpmodels.modules.normalizer": [[113, 2, 1, "", "Normalizer"]], "ocpmodels.modules.normalizer.Normalizer": [[113, 3, 1, "", "denorm"], [113, 3, 1, "", "load_state_dict"], [113, 3, 1, "", "norm"], [113, 3, 1, "", "state_dict"], [113, 3, 1, "", "to"]], "ocpmodels.modules.scaling": [[116, 2, 1, "", "ScaleFactor"], [114, 0, 0, "-", "compat"], [115, 0, 0, "-", "fit"], [117, 0, 0, "-", "scale_factor"], [118, 0, 0, "-", "util"]], "ocpmodels.modules.scaling.ScaleFactor": [[116, 3, 1, "", "_enforce_consistency"], [116, 3, 1, "", "_observe"], [116, 3, 1, "", "fit_"], [116, 3, 1, "", "fit_context_"], [116, 4, 1, "", "fitted"], [116, 3, 1, "", "forward"], [116, 6, 1, "", "index_fn"], [116, 3, 1, "", "initialize_"], [116, 6, 1, "", "name"], [116, 3, 1, "", "reset_"], [116, 6, 1, "", "scale_factor"], [116, 3, 1, "", "set_"], [116, 6, 1, "", "stats"]], "ocpmodels.modules.scaling.compat": [[114, 1, 1, "", "ScaleDict"], [114, 5, 1, "", "_load_scale_dict"], [114, 5, 1, "", "load_scales_compat"]], "ocpmodels.modules.scaling.fit": [[115, 5, 1, "", "_prefilled_input"], [115, 5, 1, "", "_train_batch"], [115, 5, 1, "", "main"]], "ocpmodels.modules.scaling.scale_factor": [[117, 1, 1, "", "IndexFn"], [117, 2, 1, "", "ScaleFactor"], [117, 2, 1, "", "_Stats"], [117, 5, 1, "", "_check_consistency"]], "ocpmodels.modules.scaling.scale_factor.ScaleFactor": [[117, 3, 1, "", "_enforce_consistency"], [117, 3, 1, "", "_observe"], [117, 3, 1, "", "fit_"], [117, 3, 1, "", "fit_context_"], [117, 4, 1, "", "fitted"], [117, 3, 1, "", "forward"], [117, 6, 1, "", "index_fn"], [117, 3, 1, "", "initialize_"], [117, 6, 1, "", "name"], [117, 3, 1, "", "reset_"], [117, 6, 1, "", "scale_factor"], [117, 3, 1, "", "set_"], [117, 6, 1, "", "stats"]], "ocpmodels.modules.scaling.scale_factor._Stats": [[117, 6, 1, "", "n_samples"], [117, 6, 1, "", "variance_in"], [117, 6, 1, "", "variance_out"]], "ocpmodels.modules.scaling.util": [[118, 5, 1, "", "ensure_fitted"]], "ocpmodels.modules.scheduler": [[119, 2, 1, "", "LRScheduler"]], "ocpmodels.modules.scheduler.LRScheduler": [[119, 3, 1, "", "filter_kwargs"], [119, 3, 1, "", "get_lr"], [119, 3, 1, "", "step"]], "ocpmodels.modules.transforms": [[120, 2, 1, "", "DataTransforms"], [120, 5, 1, "", "decompose_tensor"]], "ocpmodels.modules.transforms.DataTransforms": [[120, 3, 1, "", "__call__"]], "ocpmodels.preprocessing": [[122, 2, 1, "", "AtomsToGraphs"], [121, 0, 0, "-", "atoms_to_graphs"]], "ocpmodels.preprocessing.AtomsToGraphs": [[122, 3, 1, "", "_get_neighbors_pymatgen"], [122, 3, 1, "", "_reshape_features"], [122, 3, 1, "", "convert"], [122, 3, 1, "", "convert_all"], [122, 6, 1, "", "max_neigh"], [122, 6, 1, "", "r_data_keys"], [122, 6, 1, "", "r_distances"], [122, 6, 1, "", "r_edges"], [122, 6, 1, "", "r_energy"], [122, 6, 1, "", "r_fixed"], [122, 6, 1, "", "r_forces"], [122, 6, 1, "", "r_pbc"], [122, 6, 1, "", "r_stress"], [122, 6, 1, "", "radius"]], "ocpmodels.preprocessing.atoms_to_graphs": [[121, 1, 1, "", "AseAtomsAdaptor"], [121, 2, 1, "", "AtomsToGraphs"], [121, 1, 1, "", "shell"]], "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs": [[121, 3, 1, "", "_get_neighbors_pymatgen"], [121, 3, 1, "", "_reshape_features"], [121, 3, 1, "", "convert"], [121, 3, 1, "", "convert_all"], [121, 6, 1, "", "max_neigh"], [121, 6, 1, "", "r_data_keys"], [121, 6, 1, "", "r_distances"], [121, 6, 1, "", "r_edges"], [121, 6, 1, "", "r_energy"], [121, 6, 1, "", "r_fixed"], [121, 6, 1, "", "r_forces"], [121, 6, 1, "", "r_pbc"], [121, 6, 1, "", "r_stress"], [121, 6, 1, "", "radius"]], "ocpmodels.tasks": [[123, 2, 1, "", "PredictTask"], [123, 2, 1, "", "RelaxationTask"], [123, 2, 1, "", "TrainTask"], [123, 2, 1, "", "ValidateTask"], [124, 0, 0, "-", "task"]], "ocpmodels.tasks.PredictTask": [[123, 3, 1, "", "run"]], "ocpmodels.tasks.RelaxationTask": [[123, 3, 1, "", "run"]], "ocpmodels.tasks.TrainTask": [[123, 3, 1, "", "_process_error"], [123, 3, 1, "", "run"]], "ocpmodels.tasks.ValidateTask": [[123, 3, 1, "", "run"]], "ocpmodels.tasks.task": [[124, 2, 1, "", "BaseTask"], [124, 2, 1, "", "PredictTask"], [124, 2, 1, "", "RelaxationTask"], [124, 2, 1, "", "TrainTask"], [124, 2, 1, "", "ValidateTask"]], "ocpmodels.tasks.task.BaseTask": [[124, 3, 1, "", "run"], [124, 3, 1, "", "setup"]], "ocpmodels.tasks.task.PredictTask": [[124, 3, 1, "", "run"]], "ocpmodels.tasks.task.RelaxationTask": [[124, 3, 1, "", "run"]], "ocpmodels.tasks.task.TrainTask": [[124, 3, 1, "", "_process_error"], [124, 3, 1, "", "run"]], "ocpmodels.tasks.task.ValidateTask": [[124, 3, 1, "", "run"]], "ocpmodels.trainers": [[126, 2, 1, "", "BaseTrainer"], [126, 2, 1, "", "OCPTrainer"], [125, 0, 0, "-", "base_trainer"], [127, 0, 0, "-", "ocp_trainer"]], "ocpmodels.trainers.BaseTrainer": [[126, 3, 1, "", "_backward"], [126, 3, 1, "", "_get_timestamp"], [126, 4, 1, "", "_unwrapped_model"], [126, 3, 1, "", "get_dataloader"], [126, 3, 1, "", "get_sampler"], [126, 3, 1, "", "load"], [126, 3, 1, "", "load_checkpoint"], [126, 3, 1, "", "load_datasets"], [126, 3, 1, "", "load_extras"], [126, 3, 1, "", "load_logger"], [126, 3, 1, "", "load_loss"], [126, 3, 1, "", "load_model"], [126, 3, 1, "", "load_optimizer"], [126, 3, 1, "", "load_seed_from_config"], [126, 3, 1, "", "load_task"], [126, 3, 1, "", "save"], [126, 3, 1, "", "save_results"], [126, 3, 1, "", "set_seed"], [126, 3, 1, "", "train"], [126, 3, 1, "", "update_best"], [126, 3, 1, "", "validate"]], "ocpmodels.trainers.OCPTrainer": [[126, 3, 1, "", "_compute_loss"], [126, 3, 1, "", "_compute_metrics"], [126, 3, 1, "", "_forward"], [126, 3, 1, "", "predict"], [126, 3, 1, "", "run_relaxations"], [126, 3, 1, "", "train"]], "ocpmodels.trainers.base_trainer": [[125, 2, 1, "", "BaseTrainer"]], "ocpmodels.trainers.base_trainer.BaseTrainer": [[125, 3, 1, "", "_backward"], [125, 3, 1, "", "_get_timestamp"], [125, 4, 1, "", "_unwrapped_model"], [125, 3, 1, "", "get_dataloader"], [125, 3, 1, "", "get_sampler"], [125, 3, 1, "", "load"], [125, 3, 1, "", "load_checkpoint"], [125, 3, 1, "", "load_datasets"], [125, 3, 1, "", "load_extras"], [125, 3, 1, "", "load_logger"], [125, 3, 1, "", "load_loss"], [125, 3, 1, "", "load_model"], [125, 3, 1, "", "load_optimizer"], [125, 3, 1, "", "load_seed_from_config"], [125, 3, 1, "", "load_task"], [125, 3, 1, "", "save"], [125, 3, 1, "", "save_results"], [125, 3, 1, "", "set_seed"], [125, 3, 1, "", "train"], [125, 3, 1, "", "update_best"], [125, 3, 1, "", "validate"]], "ocpmodels.trainers.ocp_trainer": [[127, 2, 1, "", "OCPTrainer"]], "ocpmodels.trainers.ocp_trainer.OCPTrainer": [[127, 3, 1, "", "_compute_loss"], [127, 3, 1, "", "_compute_metrics"], [127, 3, 1, "", "_forward"], [127, 3, 1, "", "predict"], [127, 3, 1, "", "run_relaxations"], [127, 3, 1, "", "train"]]}, "objtypes": {"0": "py:module", "1": "py:data", "2": "py:class", "3": "py:method", "4": "py:property", "5": "py:function", "6": "py:attribute"}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "data", "Python data"], "2": ["py", "class", "Python class"], "3": ["py", "method", "Python method"], "4": ["py", "property", "Python property"], "5": ["py", "function", "Python function"], "6": ["py", "attribute", "Python attribute"]}, "titleterms": {"api": 0, "refer": [0, 130, 147], "ocpmodel": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127], "common": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 133], "data_parallel": 1, "modul": [1, 2, 3, 4, 5, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 50, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 96, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 124, 125, 127], "content": [1, 2, 3, 4, 5, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 109, 110, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 147, 149], "class": [1, 3, 4, 7, 8, 9, 13, 14, 17, 19, 25, 26, 27, 28, 31, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 51, 52, 53, 54, 55, 57, 58, 60, 61, 63, 64, 65, 67, 68, 70, 71, 73, 74, 76, 77, 78, 80, 81, 84, 85, 87, 88, 89, 91, 92, 93, 97, 98, 100, 101, 103, 104, 105, 106, 107, 109, 110, 112, 113, 116, 117, 119, 120, 121, 122, 123, 124, 125, 126, 127], "function": [1, 2, 4, 5, 8, 9, 11, 15, 16, 17, 18, 19, 25, 27, 29, 34, 35, 37, 40, 48, 50, 56, 59, 66, 69, 70, 72, 79, 82, 83, 86, 94, 95, 96, 99, 102, 105, 109, 114, 115, 117, 118, 120], "distutil": 2, "flag": 3, "attribut": [3, 4, 8, 16, 26, 27, 32, 36, 50, 53, 95, 96, 105, 109, 114, 117, 121], "gp_util": 4, "hpo_util": 5, "subpackag": [6, 10, 25, 30, 38, 55, 68, 81, 95, 111], "submodul": [6, 10, 12, 22, 25, 38, 47, 52, 55, 62, 68, 75, 81, 90, 95, 97, 101, 108, 111, 116, 122, 123, 126], "logger": 7, "registri": 8, "relax": [9, 10, 11, 12, 13, 129, 130, 131, 138, 141, 142, 147, 148, 151, 153, 154], "ase_util": 9, "ml_relax": 11, "optim": [12, 13, 139], "lbfgs_torch": 13, "transform": [14, 120], "tutorial_util": 15, "type": [16, 142], "util": [17, 66, 79, 94, 99, 106, 107, 108, 118], "dataset": [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 128, 129, 138, 141, 147, 148, 158], "_util": 18, "ase_dataset": 19, "embed": [20, 21, 22, 23, 24, 147, 156], "atomic_radii": 20, "continuous_embed": 21, "packag": [22, 25, 30, 38, 52, 55, 68, 81, 95, 97, 101, 116, 122, 123, 126], "khot_embed": 23, "qmof_khot_embed": 24, "lmdb_databas": 26, "lmdb_dataset": 27, "oc22_lmdb_dataset": 28, "target_metadata_guess": 29, "model": [31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 132, 133, 135, 136, 139, 140, 141, 142, 143, 144, 146, 147, 158], "base": 31, "dimenet_plus_plu": 32, "equiformer_v2": [33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], "activ": [33, 106], "drop": 34, "edge_rot_mat": 35, "equiformer_v2_oc20": 36, "gaussian_rbf": 37, "input_block": 39, "layer_norm": 40, "module_list": 41, "radial_funct": 42, "so2_op": 43, "so3": [44, 53], "trainer": [45, 46, 47, 48, 125, 126, 127, 133, 147], "energy_train": 45, "forces_train": 46, "lr_schedul": 48, "transformer_block": 49, "wigner": 50, "escn": [51, 52, 53], "gemnet": [54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 140, 147], "initi": [56, 69, 82, 129, 130, 131, 138, 141, 147], "layer": [57, 58, 59, 60, 61, 62, 63, 64, 65, 70, 71, 72, 73, 74, 75, 76, 77, 78, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 153], "atom_update_block": [57, 70, 84], "base_lay": [58, 71, 85], "basis_util": [59, 72, 86], "effici": [60, 73, 87], "embedding_block": [61, 74, 88], "interaction_block": [63, 76, 91], "radial_basi": [64, 77, 92], "spherical_basi": [65, 78, 93, 140], "gemnet_gp": [67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79], "gemnet_oc": [80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94], "interaction_indic": 83, "force_scal": 89, "model_registri": 96, "painn": [97, 98, 99], "schnet": 100, "scn": [101, 102, 103, 104, 105], "sampl": [102, 147, 149], "smear": 104, "spherical_harmon": 105, "basi": 107, "evalu": [109, 141, 146], "exponential_moving_averag": 110, "loss": 112, "normal": [113, 147], "scale": [114, 115, 116, 117, 118, 140], "compat": 114, "fit": [115, 140], "scale_factor": 117, "schedul": 119, "preprocess": [121, 122, 129, 148], "atoms_to_graph": 121, "task": [123, 124, 129, 130, 131, 147, 157, 158], "base_train": 125, "ocp_train": 127, "make": [128, 132, 138, 147, 151], "us": [128, 144, 147, 151, 153], "ASE": [128, 134, 144, 153], "an": [128, 140, 147, 151], "databas": 128, "readabl": 128, "file": [128, 132, 138, 141, 154], "singl": [128, 151], "structur": [128, 129, 130, 131, 138, 141, 142, 147, 154], "multi": 128, "open": [129, 130, 131, 139, 146, 147], "catalyst": [129, 130, 139, 146, 147, 151, 152], "2020": [129, 139], "oc20": [129, 130, 139, 140, 141, 147], "download": [129, 130, 146, 147], "energi": [129, 130, 131, 133, 138, 140, 141, 147, 149, 153], "forc": [129, 130, 131, 133, 138, 139, 141, 147, 149], "s2ef": [129, 130, 131, 138, 139, 141, 147], "is2r": [129, 130, 131, 138, 139, 141, 147], "trajectori": [129, 130, 147, 149, 151, 154], "adsorb": [129, 142, 151, 154], "system": [129, 130, 151], "option": [129, 130, 147, 154], "per": 129, "bader": 129, "charg": [129, 131], "data": [129, 130, 138, 140, 146, 147, 148, 149, 157], "map": [129, 130], "inform": [129, 130], "changelog": 129, "septemb": 129, "2021": 129, "march": 129, "version": 129, "2": 129, "feb": 129, "1": 129, "oct": 129, "cite": [129, 130, 131, 142, 146], "2022": [130, 139], "oc22": [130, 139, 141], "total": [130, 139, 140, 141], "direct": [131, 139], "air": [131, 139], "captur": [131, 139], "2023": [131, 139], "odac23": [131, 139], "ddec": 131, "fine": [132, 157], "tune": [132, 157], "checkpoint": [132, 139, 147, 158], "train": [132, 135, 140, 141, 144, 146, 147, 157], "test": [132, 147, 157], "val": [132, 157], "split": [132, 157], "set": [132, 147, 157], "up": 132, "configur": [132, 151, 154], "yaml": [132, 141], "run": [132, 140, 147, 151, 154, 157], "job": 132, "gotcha": 133, "ocp": [133, 140, 141, 143, 146, 147, 148, 149, 151, 152, 153, 155, 158], "outofmemoryerror": 133, "i": [133, 140], "want": 133, "ga": 133, "phase": 133, "atom": [133, 136, 142, 147, 148, 149, 156], "get": [133, 135, 141], "wildli": 133, "differ": 133, "from": [133, 140, 141], "miscellan": 133, "warn": 133, "unrecogn": 133, "argument": 133, "unabl": 133, "identifi": 133, "request": 133, "entiti": 133, "too": 133, "larg": 133, "can": 133, "t": [133, 147], "save": [133, 149], "your": [133, 147, 148], "notebook": [133, 145, 147], "you": 133, "need": 133, "least": 133, "four": 133, "molecul": 133, "some": 133, "To": 133, "tag": [133, 147, 149], "stochast": 133, "simul": [133, 153], "result": [133, 142, 151], "The": [133, 134], "don": 133, "sum": 133, "zero": 133, "fast": [134, 135], "batch": 134, "infer": [134, 135], "calcul": [134, 147, 153], "wai": [134, 147], "compar": [134, 151], "main": 134, "py": 134, "instal": [135, 142, 146], "pip": 135, "easi": 135, "start": [135, 141], "gpu": 135, "enabl": 135, "machin": 135, "cpu": 135, "onli": [135, 139], "slower": 135, "conda": 135, "prefer": [135, 147], "develop": [135, 147], "why": 136, "climat": [136, 147], "licens": [137, 142, 146], "lmdb": [138, 147], "origin": 138, "format": [138, 142], "gener": [138, 147, 148, 149], "toi": [138, 147, 148], "co": [138, 148], "cu": [138, 148, 156], "atomstograph": 138, "featur": 138, "extractor": 138, "write": [138, 154], "advanc": [138, 142, 155], "usag": [138, 142, 155], "interact": [138, 147], "pretrain": [139, 146, 147], "efwt": 139, "faq": 140, "ar": 140, "predict": [140, 141, 147], "determinist": 140, "how": 140, "do": 140, "m": 140, "try": 140, "oc": 140, "dt": 140, "throw": 140, "error": 140, "factor": 140, "what": 140, "should": 140, "my": 140, "out": [140, 151], "sph_basi": 140, "self": 140, "cos\u03c6_cab": 140, "\u03b8_cabd": 140, "custom": 141, "overrid": 141, "config": [141, 147], "paramet": 141, "command": [141, 147], "line": [141, 147], "creat": [141, 147], "evalai": 141, "submiss": 141, "joint": 141, "ocpapi": 142, "quickstart": 142, "note": 142, "about": [142, 158], "async": 142, "method": 142, "search": [142, 156], "over": 142, "all": [142, 151], "surfac": [142, 151], "support": 142, "bulk": [142, 156], "skip": 142, "approv": 142, "prompt": 142, "persist": 142, "view": [142, 147, 149], "web": 142, "ui": 142, "chang": 142, "convert": [142, 148], "ase": 142, "object": [142, 147, 148], "other": 142, "studi": [143, 153], "have": 143, "leverag": 143, "pre": 144, "execut": 145, "time": 145, "project": [146, 147], "weight": 146, "discuss": 146, "acknowledg": 146, "tutori": [147, 148, 150, 154, 158], "background": [147, 158], "name": 147, "impact": 147, "target": 147, "audienc": 147, "prerequisit": 147, "softwar": 147, "requir": 147, "overview": 147, "1min": 147, "visual": [147, 149], "understand": [147, 149], "read": [147, 149], "number": [147, 149, 153], "symbol": [147, 149], "unit": [147, 149, 153], "cell": [147, 149, 153], "period": [147, 149], "boundari": [147, 149], "condit": [147, 149], "pbc": [147, 149], "fix": [147, 149], "constraint": [147, 149], "adsorpt": [147, 153], "plot": [147, 151], "profil": 147, "addit": [147, 148], "resourc": [147, 149], "step": [147, 153], "import": 147, "defin": 147, "valid": 147, "load": 147, "best": 147, "ml": [147, 151, 154], "driven": 147, "dev": 147, "edg": 147, "messag": 147, "pass": 147, "incorpor": 147, "triplet": 147, "calc": 147, "own": 147, "repositori": 147, "cmd": 147, "limit": 147, "next": [147, 153], "ad": 148, "info": 148, "video": [149, 158], "legaci": 150, "deprec": 150, "enumer": [151, 154], "alloi": 151, "introduct": [151, 158], "slab": [151, 154], "work": [151, 156], "exampl": [151, 156], "pars": [151, 154], "post": [151, 154], "process": [151, 154], "pariti": 151, "valu": 151, "obtain": 151, "v": 151, "report": 151, "paper": 151, "figur": 151, "6b": 151, "literatur": 151, "screen": 152, "simpl": [153, 156], "exercis": 153, "trend": 153, "across": 153, "metal": 153, "site": 153, "correl": 153, "converg": 153, "effect": 153, "size": 153, "summari": 153, "adsorbml": 154, "dedupl": 154, "vasp": 154, "input": 154, "A": 156, "diagnost": 156, "equat": 156, "state": 156, "cluster": 156, "individu": 156, "vector": 156, "python": 157, "setup": 157, "code": 157, "intro": 158, "dft": 158, "abstract": 158, "walkthrough": 158, "goal": 158, "thi": 158, "comput": 158, "environ": 158, "technic": 159, "present": 159}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinxcontrib.bibtex": 9, "sphinx": 60}, "alltitles": {"API Reference": [[0, "api-reference"]], "ocpmodels.common.data_parallel": [[1, "module-ocpmodels.common.data_parallel"]], "Module Contents": [[1, "module-contents"], [2, "module-contents"], [3, "module-contents"], [4, "module-contents"], [5, "module-contents"], [7, "module-contents"], [8, "module-contents"], [9, "module-contents"], [11, "module-contents"], [13, "module-contents"], [14, "module-contents"], [15, "module-contents"], [16, "module-contents"], [17, "module-contents"], [18, "module-contents"], [19, "module-contents"], [20, "module-contents"], [21, "module-contents"], [23, "module-contents"], [24, "module-contents"], [26, "module-contents"], [27, "module-contents"], [28, "module-contents"], [29, "module-contents"], [31, "module-contents"], [32, "module-contents"], [33, "module-contents"], [34, "module-contents"], [35, "module-contents"], [36, "module-contents"], [37, "module-contents"], [39, "module-contents"], [40, "module-contents"], [41, "module-contents"], [42, "module-contents"], [43, "module-contents"], [44, "module-contents"], [45, "module-contents"], [46, "module-contents"], [48, "module-contents"], [49, "module-contents"], [50, "module-contents"], [51, "module-contents"], [53, "module-contents"], [54, "module-contents"], [56, "module-contents"], [57, "module-contents"], [58, "module-contents"], [59, "module-contents"], [60, "module-contents"], [61, "module-contents"], [63, "module-contents"], [64, "module-contents"], [65, "module-contents"], [66, "module-contents"], [67, "module-contents"], [69, "module-contents"], [70, "module-contents"], [71, "module-contents"], [72, "module-contents"], [73, "module-contents"], [74, "module-contents"], [76, "module-contents"], [77, "module-contents"], [78, "module-contents"], [79, "module-contents"], [80, "module-contents"], [82, "module-contents"], [83, "module-contents"], [84, "module-contents"], [85, "module-contents"], [86, "module-contents"], [87, "module-contents"], [88, "module-contents"], [89, "module-contents"], [91, "module-contents"], [92, "module-contents"], [93, "module-contents"], [94, "module-contents"], [96, "module-contents"], [98, "module-contents"], [99, "module-contents"], [100, "module-contents"], [102, "module-contents"], [103, "module-contents"], [104, "module-contents"], [105, "module-contents"], [106, "module-contents"], [107, "module-contents"], [109, "module-contents"], [110, "module-contents"], [112, "module-contents"], [113, "module-contents"], [114, "module-contents"], [115, "module-contents"], [117, "module-contents"], [118, "module-contents"], [119, "module-contents"], [120, "module-contents"], [121, "module-contents"], [124, "module-contents"], [125, "module-contents"], [127, "module-contents"]], "Classes": [[1, "classes"], [3, "classes"], [4, "classes"], [7, "classes"], [8, "classes"], [9, "classes"], [13, "classes"], [14, "classes"], [17, "classes"], [19, "classes"], [25, "classes"], [26, "classes"], [27, "classes"], [28, "classes"], [31, "classes"], [32, "classes"], [33, "classes"], [34, "classes"], [36, "classes"], [37, "classes"], [38, "classes"], [39, "classes"], [40, "classes"], [41, "classes"], [42, "classes"], [43, "classes"], [44, "classes"], [45, "classes"], [46, "classes"], [48, "classes"], [49, "classes"], [51, "classes"], [52, "classes"], [53, "classes"], [54, "classes"], [55, "classes"], [57, "classes"], [58, "classes"], [60, "classes"], [61, "classes"], [63, "classes"], [64, "classes"], [65, "classes"], [67, "classes"], [68, "classes"], [70, "classes"], [71, "classes"], [73, "classes"], [74, "classes"], [76, "classes"], [77, "classes"], [78, "classes"], [80, "classes"], [81, "classes"], [84, "classes"], [85, "classes"], [87, "classes"], [88, "classes"], [89, "classes"], [91, "classes"], [92, "classes"], [93, "classes"], [97, "classes"], [98, "classes"], [100, "classes"], [101, "classes"], [103, "classes"], [104, "classes"], [105, "classes"], [106, "classes"], [107, "classes"], [109, "classes"], [110, "classes"], [112, "classes"], [113, "classes"], [116, "classes"], [117, "classes"], [119, "classes"], [120, "classes"], [121, "classes"], [122, "classes"], [123, "classes"], [124, "classes"], [125, "classes"], [126, "classes"], [127, "classes"]], "Functions": [[1, "functions"], [2, "functions"], [4, "functions"], [5, "functions"], [8, "functions"], [9, "functions"], [11, "functions"], [15, "functions"], [16, "functions"], [17, "functions"], [18, "functions"], [19, "functions"], [25, "functions"], [27, "functions"], [29, "functions"], [34, "functions"], [35, "functions"], [37, "functions"], [40, "functions"], [48, "functions"], [50, "functions"], [56, "functions"], [59, "functions"], [66, "functions"], [69, "functions"], [70, "functions"], [72, "functions"], [79, "functions"], [82, "functions"], [83, "functions"], [86, "functions"], [94, "functions"], [95, "functions"], [96, "functions"], [99, "functions"], [102, "functions"], [105, "functions"], [109, "functions"], [114, "functions"], [115, "functions"], [117, "functions"], [118, "functions"], [120, "functions"]], "ocpmodels.common.distutils": [[2, "module-ocpmodels.common.distutils"]], "ocpmodels.common.flags": [[3, "module-ocpmodels.common.flags"]], "Attributes": [[3, "attributes"], [4, "attributes"], [8, "attributes"], [16, "attributes"], [26, "attributes"], [27, "attributes"], [32, "attributes"], [36, "attributes"], [50, "attributes"], [53, "attributes"], [95, "attributes"], [96, "attributes"], [105, "attributes"], [109, "attributes"], [114, "attributes"], [117, "attributes"], [121, "attributes"]], "ocpmodels.common.gp_utils": [[4, "module-ocpmodels.common.gp_utils"]], "ocpmodels.common.hpo_utils": [[5, "module-ocpmodels.common.hpo_utils"]], "ocpmodels.common": [[6, "module-ocpmodels.common"]], "Subpackages": [[6, "subpackages"], [10, "subpackages"], [25, "subpackages"], [30, "subpackages"], [38, "subpackages"], [55, "subpackages"], [68, "subpackages"], [81, "subpackages"], [95, "subpackages"], [111, "subpackages"]], "Submodules": [[6, "submodules"], [10, "submodules"], [12, "submodules"], [22, "submodules"], [25, "submodules"], [38, "submodules"], [47, "submodules"], [52, "submodules"], [55, "submodules"], [62, "submodules"], [68, "submodules"], [75, "submodules"], [81, "submodules"], [90, "submodules"], [95, "submodules"], [97, "submodules"], [101, "submodules"], [108, "submodules"], [111, "submodules"], [116, "submodules"], [122, "submodules"], [123, "submodules"], [126, "submodules"]], "ocpmodels.common.logger": [[7, "module-ocpmodels.common.logger"]], "ocpmodels.common.registry": [[8, "module-ocpmodels.common.registry"]], "ocpmodels.common.relaxation.ase_utils": [[9, "module-ocpmodels.common.relaxation.ase_utils"]], "ocpmodels.common.relaxation": [[10, "module-ocpmodels.common.relaxation"]], "ocpmodels.common.relaxation.ml_relaxation": [[11, "module-ocpmodels.common.relaxation.ml_relaxation"]], "ocpmodels.common.relaxation.optimizers": [[12, "module-ocpmodels.common.relaxation.optimizers"]], "ocpmodels.common.relaxation.optimizers.lbfgs_torch": [[13, "module-ocpmodels.common.relaxation.optimizers.lbfgs_torch"]], "ocpmodels.common.transforms": [[14, "module-ocpmodels.common.transforms"]], "ocpmodels.common.tutorial_utils": [[15, "module-ocpmodels.common.tutorial_utils"]], "ocpmodels.common.typing": [[16, "module-ocpmodels.common.typing"]], "ocpmodels.common.utils": [[17, "module-ocpmodels.common.utils"]], "ocpmodels.datasets._utils": [[18, "module-ocpmodels.datasets._utils"]], "ocpmodels.datasets.ase_datasets": [[19, "module-ocpmodels.datasets.ase_datasets"]], "ocpmodels.datasets.embeddings.atomic_radii": [[20, "module-ocpmodels.datasets.embeddings.atomic_radii"]], "ocpmodels.datasets.embeddings.continuous_embeddings": [[21, "module-ocpmodels.datasets.embeddings.continuous_embeddings"]], "ocpmodels.datasets.embeddings": [[22, "module-ocpmodels.datasets.embeddings"]], "Package Contents": [[22, "package-contents"], [25, "package-contents"], [30, "package-contents"], [38, "package-contents"], [52, "package-contents"], [55, "package-contents"], [68, "package-contents"], [81, "package-contents"], [95, "package-contents"], [97, "package-contents"], [101, "package-contents"], [116, "package-contents"], [122, "package-contents"], [123, "package-contents"], [126, "package-contents"]], "ocpmodels.datasets.embeddings.khot_embeddings": [[23, "module-ocpmodels.datasets.embeddings.khot_embeddings"]], "ocpmodels.datasets.embeddings.qmof_khot_embeddings": [[24, "module-ocpmodels.datasets.embeddings.qmof_khot_embeddings"]], "ocpmodels.datasets": [[25, "module-ocpmodels.datasets"]], "ocpmodels.datasets.lmdb_database": [[26, "module-ocpmodels.datasets.lmdb_database"]], "ocpmodels.datasets.lmdb_dataset": [[27, "module-ocpmodels.datasets.lmdb_dataset"]], "ocpmodels.datasets.oc22_lmdb_dataset": [[28, "module-ocpmodels.datasets.oc22_lmdb_dataset"]], "ocpmodels.datasets.target_metadata_guesser": [[29, "module-ocpmodels.datasets.target_metadata_guesser"]], "ocpmodels": [[30, "module-ocpmodels"]], "ocpmodels.models.base": [[31, "module-ocpmodels.models.base"]], "ocpmodels.models.dimenet_plus_plus": [[32, "module-ocpmodels.models.dimenet_plus_plus"]], "ocpmodels.models.equiformer_v2.activation": [[33, "module-ocpmodels.models.equiformer_v2.activation"]], "ocpmodels.models.equiformer_v2.drop": [[34, "module-ocpmodels.models.equiformer_v2.drop"]], "ocpmodels.models.equiformer_v2.edge_rot_mat": [[35, "module-ocpmodels.models.equiformer_v2.edge_rot_mat"]], "ocpmodels.models.equiformer_v2.equiformer_v2_oc20": [[36, "module-ocpmodels.models.equiformer_v2.equiformer_v2_oc20"]], "ocpmodels.models.equiformer_v2.gaussian_rbf": [[37, "module-ocpmodels.models.equiformer_v2.gaussian_rbf"]], "ocpmodels.models.equiformer_v2": [[38, "module-ocpmodels.models.equiformer_v2"]], "ocpmodels.models.equiformer_v2.input_block": [[39, "module-ocpmodels.models.equiformer_v2.input_block"]], "ocpmodels.models.equiformer_v2.layer_norm": [[40, "module-ocpmodels.models.equiformer_v2.layer_norm"]], "ocpmodels.models.equiformer_v2.module_list": [[41, "module-ocpmodels.models.equiformer_v2.module_list"]], "ocpmodels.models.equiformer_v2.radial_function": [[42, "module-ocpmodels.models.equiformer_v2.radial_function"]], "ocpmodels.models.equiformer_v2.so2_ops": [[43, "module-ocpmodels.models.equiformer_v2.so2_ops"]], "ocpmodels.models.equiformer_v2.so3": [[44, "module-ocpmodels.models.equiformer_v2.so3"]], "ocpmodels.models.equiformer_v2.trainers.energy_trainer": [[45, "module-ocpmodels.models.equiformer_v2.trainers.energy_trainer"]], "ocpmodels.models.equiformer_v2.trainers.forces_trainer": [[46, "module-ocpmodels.models.equiformer_v2.trainers.forces_trainer"]], "ocpmodels.models.equiformer_v2.trainers": [[47, "module-ocpmodels.models.equiformer_v2.trainers"]], "ocpmodels.models.equiformer_v2.trainers.lr_scheduler": [[48, "module-ocpmodels.models.equiformer_v2.trainers.lr_scheduler"]], "ocpmodels.models.equiformer_v2.transformer_block": [[49, "module-ocpmodels.models.equiformer_v2.transformer_block"]], "ocpmodels.models.equiformer_v2.wigner": [[50, "module-ocpmodels.models.equiformer_v2.wigner"]], "ocpmodels.models.escn.escn": [[51, "module-ocpmodels.models.escn.escn"]], "ocpmodels.models.escn": [[52, "module-ocpmodels.models.escn"]], "ocpmodels.models.escn.so3": [[53, "module-ocpmodels.models.escn.so3"]], "ocpmodels.models.gemnet.gemnet": [[54, "module-ocpmodels.models.gemnet.gemnet"]], "ocpmodels.models.gemnet": [[55, "module-ocpmodels.models.gemnet"]], "ocpmodels.models.gemnet.initializers": [[56, "module-ocpmodels.models.gemnet.initializers"]], "ocpmodels.models.gemnet.layers.atom_update_block": [[57, "module-ocpmodels.models.gemnet.layers.atom_update_block"]], "ocpmodels.models.gemnet.layers.base_layers": [[58, "module-ocpmodels.models.gemnet.layers.base_layers"]], "ocpmodels.models.gemnet.layers.basis_utils": [[59, "module-ocpmodels.models.gemnet.layers.basis_utils"]], "ocpmodels.models.gemnet.layers.efficient": [[60, "module-ocpmodels.models.gemnet.layers.efficient"]], "ocpmodels.models.gemnet.layers.embedding_block": [[61, "module-ocpmodels.models.gemnet.layers.embedding_block"]], "ocpmodels.models.gemnet.layers": [[62, "module-ocpmodels.models.gemnet.layers"]], "ocpmodels.models.gemnet.layers.interaction_block": [[63, "module-ocpmodels.models.gemnet.layers.interaction_block"]], "ocpmodels.models.gemnet.layers.radial_basis": [[64, "module-ocpmodels.models.gemnet.layers.radial_basis"]], "ocpmodels.models.gemnet.layers.spherical_basis": [[65, "module-ocpmodels.models.gemnet.layers.spherical_basis"]], "ocpmodels.models.gemnet.utils": [[66, "module-ocpmodels.models.gemnet.utils"]], "ocpmodels.models.gemnet_gp.gemnet": [[67, "module-ocpmodels.models.gemnet_gp.gemnet"]], "ocpmodels.models.gemnet_gp": [[68, "module-ocpmodels.models.gemnet_gp"]], "ocpmodels.models.gemnet_gp.initializers": [[69, "module-ocpmodels.models.gemnet_gp.initializers"]], "ocpmodels.models.gemnet_gp.layers.atom_update_block": [[70, "module-ocpmodels.models.gemnet_gp.layers.atom_update_block"]], "ocpmodels.models.gemnet_gp.layers.base_layers": [[71, "module-ocpmodels.models.gemnet_gp.layers.base_layers"]], "ocpmodels.models.gemnet_gp.layers.basis_utils": [[72, "module-ocpmodels.models.gemnet_gp.layers.basis_utils"]], "ocpmodels.models.gemnet_gp.layers.efficient": [[73, "module-ocpmodels.models.gemnet_gp.layers.efficient"]], "ocpmodels.models.gemnet_gp.layers.embedding_block": [[74, "module-ocpmodels.models.gemnet_gp.layers.embedding_block"]], "ocpmodels.models.gemnet_gp.layers": [[75, "module-ocpmodels.models.gemnet_gp.layers"]], "ocpmodels.models.gemnet_gp.layers.interaction_block": [[76, "module-ocpmodels.models.gemnet_gp.layers.interaction_block"]], "ocpmodels.models.gemnet_gp.layers.radial_basis": [[77, "module-ocpmodels.models.gemnet_gp.layers.radial_basis"]], "ocpmodels.models.gemnet_gp.layers.spherical_basis": [[78, "module-ocpmodels.models.gemnet_gp.layers.spherical_basis"]], "ocpmodels.models.gemnet_gp.utils": [[79, "module-ocpmodels.models.gemnet_gp.utils"]], "ocpmodels.models.gemnet_oc.gemnet_oc": [[80, "module-ocpmodels.models.gemnet_oc.gemnet_oc"]], "ocpmodels.models.gemnet_oc": [[81, "module-ocpmodels.models.gemnet_oc"]], "ocpmodels.models.gemnet_oc.initializers": [[82, "module-ocpmodels.models.gemnet_oc.initializers"]], "ocpmodels.models.gemnet_oc.interaction_indices": [[83, "module-ocpmodels.models.gemnet_oc.interaction_indices"]], "ocpmodels.models.gemnet_oc.layers.atom_update_block": [[84, "module-ocpmodels.models.gemnet_oc.layers.atom_update_block"]], "ocpmodels.models.gemnet_oc.layers.base_layers": [[85, "module-ocpmodels.models.gemnet_oc.layers.base_layers"]], "ocpmodels.models.gemnet_oc.layers.basis_utils": [[86, "module-ocpmodels.models.gemnet_oc.layers.basis_utils"]], "ocpmodels.models.gemnet_oc.layers.efficient": [[87, "module-ocpmodels.models.gemnet_oc.layers.efficient"]], "ocpmodels.models.gemnet_oc.layers.embedding_block": [[88, "module-ocpmodels.models.gemnet_oc.layers.embedding_block"]], "ocpmodels.models.gemnet_oc.layers.force_scaler": [[89, "module-ocpmodels.models.gemnet_oc.layers.force_scaler"]], "ocpmodels.models.gemnet_oc.layers": [[90, "module-ocpmodels.models.gemnet_oc.layers"]], "ocpmodels.models.gemnet_oc.layers.interaction_block": [[91, "module-ocpmodels.models.gemnet_oc.layers.interaction_block"]], "ocpmodels.models.gemnet_oc.layers.radial_basis": [[92, "module-ocpmodels.models.gemnet_oc.layers.radial_basis"]], "ocpmodels.models.gemnet_oc.layers.spherical_basis": [[93, "module-ocpmodels.models.gemnet_oc.layers.spherical_basis"]], "ocpmodels.models.gemnet_oc.utils": [[94, "module-ocpmodels.models.gemnet_oc.utils"]], "ocpmodels.models": [[95, "module-ocpmodels.models"]], "ocpmodels.models.model_registry": [[96, "module-ocpmodels.models.model_registry"]], "ocpmodels.models.painn": [[97, "module-ocpmodels.models.painn"]], "ocpmodels.models.painn.painn": [[98, "module-ocpmodels.models.painn.painn"]], "ocpmodels.models.painn.utils": [[99, "module-ocpmodels.models.painn.utils"]], "ocpmodels.models.schnet": [[100, "module-ocpmodels.models.schnet"]], "ocpmodels.models.scn": [[101, "module-ocpmodels.models.scn"]], "ocpmodels.models.scn.sampling": [[102, "module-ocpmodels.models.scn.sampling"]], "ocpmodels.models.scn.scn": [[103, "module-ocpmodels.models.scn.scn"]], "ocpmodels.models.scn.smearing": [[104, "module-ocpmodels.models.scn.smearing"]], "ocpmodels.models.scn.spherical_harmonics": [[105, "module-ocpmodels.models.scn.spherical_harmonics"]], "ocpmodels.models.utils.activations": [[106, "module-ocpmodels.models.utils.activations"]], "ocpmodels.models.utils.basis": [[107, "module-ocpmodels.models.utils.basis"]], "ocpmodels.models.utils": [[108, "module-ocpmodels.models.utils"]], "ocpmodels.modules.evaluator": [[109, "module-ocpmodels.modules.evaluator"]], "ocpmodels.modules.exponential_moving_average": [[110, "module-ocpmodels.modules.exponential_moving_average"]], "ocpmodels.modules": [[111, "module-ocpmodels.modules"]], "ocpmodels.modules.loss": [[112, "module-ocpmodels.modules.loss"]], "ocpmodels.modules.normalizer": [[113, "module-ocpmodels.modules.normalizer"]], "ocpmodels.modules.scaling.compat": [[114, "module-ocpmodels.modules.scaling.compat"]], "ocpmodels.modules.scaling.fit": [[115, "module-ocpmodels.modules.scaling.fit"]], "ocpmodels.modules.scaling": [[116, "module-ocpmodels.modules.scaling"]], "ocpmodels.modules.scaling.scale_factor": [[117, "module-ocpmodels.modules.scaling.scale_factor"]], "ocpmodels.modules.scaling.util": [[118, "module-ocpmodels.modules.scaling.util"]], "ocpmodels.modules.scheduler": [[119, "module-ocpmodels.modules.scheduler"]], "ocpmodels.modules.transforms": [[120, "module-ocpmodels.modules.transforms"]], "ocpmodels.preprocessing.atoms_to_graphs": [[121, "module-ocpmodels.preprocessing.atoms_to_graphs"]], "ocpmodels.preprocessing": [[122, "module-ocpmodels.preprocessing"]], "ocpmodels.tasks": [[123, "module-ocpmodels.tasks"]], "ocpmodels.tasks.task": [[124, "module-ocpmodels.tasks.task"]], "ocpmodels.trainers.base_trainer": [[125, "module-ocpmodels.trainers.base_trainer"]], "ocpmodels.trainers": [[126, "module-ocpmodels.trainers"]], "ocpmodels.trainers.ocp_trainer": [[127, "module-ocpmodels.trainers.ocp_trainer"]], "Making and using ASE datasets": [[128, "making-and-using-ase-datasets"]], "Using an ASE Database": [[128, "using-an-ase-database"]], "Using ASE-Readable Files": [[128, "using-ase-readable-files"]], "Single-Structure Files": [[128, "single-structure-files"]], "Multi-structure Files": [[128, "multi-structure-files"]], "Open Catalyst 2020 (OC20)": [[129, "open-catalyst-2020-oc20"], [139, "open-catalyst-2020-oc20"]], "Download and preprocess the dataset": [[129, "download-and-preprocess-the-dataset"]], "Structure to Energy and Forces (S2EF) task": [[129, "structure-to-energy-and-forces-s2ef-task"], [131, "structure-to-energy-and-forces-s2ef-task"]], "Initial Structure to Relaxed Structure (IS2RS) and Initial Structure to Relaxed Energy (IS2RE) tasks": [[129, "initial-structure-to-relaxed-structure-is2rs-and-initial-structure-to-relaxed-energy-is2re-tasks"]], "Relaxation Trajectories": [[129, "relaxation-trajectories"], [130, "relaxation-trajectories"]], "Adsorbate+catalyst system trajectories (optional download)": [[129, "adsorbate-catalyst-system-trajectories-optional-download"]], "Per-adsorbate trajectories (optional download)": [[129, "per-adsorbate-trajectories-optional-download"]], "Catalyst system trajectories (optional download)": [[129, "catalyst-system-trajectories-optional-download"]], "Bader charge data": [[129, "bader-charge-data"]], "OC20 mappings": [[129, "oc20-mappings"]], "Data mapping information": [[129, "data-mapping-information"], [130, "data-mapping-information"]], "Adsorbate-catalyst system to catalyst system mapping information": [[129, "adsorbate-catalyst-system-to-catalyst-system-mapping-information"]], "Dataset changelog": [[129, "dataset-changelog"]], "September 2021": [[129, "september-2021"]], "March 2021": [[129, "march-2021"]], "Version 2, Feb 2021": [[129, "version-2-feb-2021"]], "Version 1, Oct 2020": [[129, "version-1-oct-2020"]], "Citing OC20": [[129, "citing-oc20"]], "Per-adsorbate trajectories": [[129, "per-adsorbate-trajectories"]], "Open Catalyst 2022 (OC22)": [[130, "open-catalyst-2022-oc22"], [139, "open-catalyst-2022-oc22"]], "Structure to Total Energy and Forces (S2EF-Total) task": [[130, "structure-to-total-energy-and-forces-s2ef-total-task"]], "Initial Structure to Relaxed Structure (IS2RS) and Initial Structure to Relaxed Total Energy (IS2RE-Total) tasks": [[130, "initial-structure-to-relaxed-structure-is2rs-and-initial-structure-to-relaxed-total-energy-is2re-total-tasks"]], "System trajectories (optional download)": [[130, "system-trajectories-optional-download"]], "OC22 Mappings": [[130, "oc22-mappings"]], "": [[130, "id1"], [130, "id2"]], "OC20 reference information": [[130, "oc20-reference-information"]], "Citing OC22": [[130, "citing-oc22"]], "Open Direct Air Capture 2023 (ODAC23)": [[131, "open-direct-air-capture-2023-odac23"], [139, "open-direct-air-capture-2023-odac23"]], "Initial Structure to Relaxed Structure (IS2RS) / Relaxed Energy (IS2RE) tasks": [[131, "initial-structure-to-relaxed-structure-is2rs-relaxed-energy-is2re-tasks"]], "DDEC Charges": [[131, "ddec-charges"]], "Citing ODAC23": [[131, "citing-odac23"]], "Fine tuning a model": [[132, "fine-tuning-a-model"]], "Fine tuning the checkpoint": [[132, "fine-tuning-the-checkpoint"]], "Make the train, test, val splits": [[132, "make-the-train-test-val-splits"]], "Setting up the configuration yaml file": [[132, "setting-up-the-configuration-yaml-file"]], "Running the training job": [[132, "running-the-training-job"]], "Common gotchas with OCP": [[133, "common-gotchas-with-ocp"]], "OutOfMemoryError": [[133, "outofmemoryerror"]], "I want the energy of a gas phase atom": [[133, "i-want-the-energy-of-a-gas-phase-atom"]], "I get wildly different energies from the different models": [[133, "i-get-wildly-different-energies-from-the-different-models"]], "Miscellaneous warnings": [[133, "miscellaneous-warnings"]], "Unrecognized arguments": [[133, "unrecognized-arguments"]], "Unable to identify OCP trainer": [[133, "unable-to-identify-ocp-trainer"]], "Request entity too large - can\u2019t save your Notebook": [[133, "request-entity-too-large-can-t-save-your-notebook"]], "You need at least four atoms for molecules with some models": [[133, "you-need-at-least-four-atoms-for-molecules-with-some-models"]], "To tag or not?": [[133, "to-tag-or-not"]], "Stochastic simulation results": [[133, "stochastic-simulation-results"]], "The forces don\u2019t sum to zero": [[133, "the-forces-don-t-sum-to-zero"]], "Fast batched inference": [[134, "fast-batched-inference"]], "The ASE calculator way": [[134, "the-ase-calculator-way"]], "Comparing ASE calculator and main.py": [[134, "comparing-ase-calculator-and-main-py"]], "Installation": [[135, "installation"], [142, "installation"], [146, "installation"]], "pip (fast, easy to get started)": [[135, "pip-fast-easy-to-get-started"]], "GPU enabled machines": [[135, "gpu-enabled-machines"]], "CPU-only install (slower training/inference!)": [[135, "cpu-only-install-slower-training-inference"]], "Conda (preferred for model training & development)": [[135, "conda-preferred-for-model-training-development"]], "GPU machines": [[135, "gpu-machines"]], "CPU-only machines": [[135, "cpu-only-machines"]], "Why model atoms for climate?": [[136, "why-model-atoms-for-climate"]], "License": [[137, "license"], [142, "license"], [146, "license"]], "Making LMDB Datasets (original format)": [[138, "making-lmdb-datasets-original-format"]], "Generate toy dataset: Relaxation of CO on Cu": [[138, "generate-toy-dataset-relaxation-of-co-on-cu"], [148, "generate-toy-dataset-relaxation-of-co-on-cu"]], "Initial Structure to Relaxed Energy/Structure (IS2RE/IS2RS) LMDBs": [[138, "initial-structure-to-relaxed-energy-structure-is2re-is2rs-lmdbs"]], "Initialize AtomsToGraph feature extractor": [[138, "initialize-atomstograph-feature-extractor"]], "Initialize LMDB file": [[138, "initialize-lmdb-file"]], "Write data to LMDB": [[138, "write-data-to-lmdb"]], "Structure to Energy and Forces (S2EF) LMDBs": [[138, "structure-to-energy-and-forces-s2ef-lmdbs"], [147, "structure-to-energy-and-forces-s2ef-lmdbs"]], "Advanced usage": [[138, "advanced-usage"], [142, "advanced-usage"]], "Interacting with the LMDBs": [[138, "interacting-with-the-lmdbs"]], "Pretrained model checkpoints": [[139, "pretrained-model-checkpoints"]], "S2EF models: optimized for EFwT": [[139, "s2ef-models-optimized-for-efwt"]], "S2EF models: optimized for force only": [[139, "s2ef-models-optimized-for-force-only"]], "IS2RE models": [[139, "is2re-models"]], "S2EF-Total models": [[139, "s2ef-total-models"]], "S2EF models": [[139, "s2ef-models"]], "IS2RE Direct models": [[139, "is2re-direct-models"]], "IS2RS": [[139, "is2rs"]], "Model FAQ": [[140, "model-faq"]], "Models": [[140, "models"], [158, "models"]], "Are predictions from OCP models deterministic?": [[140, "are-predictions-from-ocp-models-deterministic"]], "How do I train a model on OC20 total energies?": [[140, "how-do-i-train-a-model-on-oc20-total-energies"]], "I\u2019m trying to run GemNet-OC / GemNet-dT, but it throws an error that scaling factors are not fitted. What should I do?": [[140, "i-m-trying-to-run-gemnet-oc-gemnet-dt-but-it-throws-an-error-that-scaling-factors-are-not-fitted-what-should-i-do"]], "I\u2019m trying to run GemNet-OC on my data, but it errors out on sph_basis = self.spherical_basis(cos\u03c6_cab, \u03b8_cabd).": [[140, "i-m-trying-to-run-gemnet-oc-on-my-data-but-it-errors-out-on-sph-basis-self-spherical-basis-cos-cab-cabd"]], "Training and evaluating custom models on OCP datasets": [[141, "training-and-evaluating-custom-models-on-ocp-datasets"]], "Getting Started": [[141, "getting-started"]], "OC20": [[141, "oc20"]], "Initial Structure to Relaxed Energy prediction (IS2RE)": [[141, "initial-structure-to-relaxed-energy-prediction-is2re"]], "IS2RE Relaxations": [[141, "is2re-relaxations"]], "Structure to Energy and Forces (S2EF)": [[141, "structure-to-energy-and-forces-s2ef"]], "Training OC20 models with total energies (IS2RE/S2EF)": [[141, "training-oc20-models-with-total-energies-is2re-s2ef"]], "Overriding YAML config parameters from the command line": [[141, "overriding-yaml-config-parameters-from-the-command-line"]], "Initial Structure to Relaxed Structure (IS2RS)": [[141, "initial-structure-to-relaxed-structure-is2rs"]], "Create EvalAI OC20 submission files": [[141, "create-evalai-oc20-submission-files"]], "S2EF/IS2RE:": [[141, "s2ef-is2re"]], "IS2RS:": [[141, "is2rs"]], "OC22": [[141, "oc22"]], "Initial Structure to Total Relaxed Energy (IS2RE-Total)": [[141, "initial-structure-to-total-relaxed-energy-is2re-total"]], "Structure to Total Energy and Forces (S2EF-Total)": [[141, "structure-to-total-energy-and-forces-s2ef-total"]], "Joint Training": [[141, "joint-training"]], "Create EvalAI OC22 submission files": [[141, "create-evalai-oc22-submission-files"]], "S2EF-Total/IS2RE-Total:": [[141, "s2ef-total-is2re-total"]], "ocpapi": [[142, "ocpapi"]], "Quickstart": [[142, "quickstart"]], "Note about async methods": [[142, "note-about-async-methods"]], "Search over all surfaces": [[142, "search-over-all-surfaces"]], "Supported bulks and adsorbates": [[142, "supported-bulks-and-adsorbates"]], "Skip relaxation approval prompts": [[142, "skip-relaxation-approval-prompts"]], "Persisting results": [[142, "persisting-results"]], "Viewing results in the web UI": [[142, "viewing-results-in-the-web-ui"]], "Changing the model type": [[142, "changing-the-model-type"]], "Converting to ase.Atoms objects": [[142, "converting-to-ase-atoms-objects"]], "Converting to other structure formats": [[142, "converting-to-other-structure-formats"]], "Citing ocpapi": [[142, "citing-ocpapi"]], "Studies that have leveraged OCP models": [[143, "studies-that-have-leveraged-ocp-models"]], "Using pre-trained models in ASE": [[144, "using-pre-trained-models-in-ase"]], "Notebook execution times": [[145, "notebook-execution-times"]], "ocp by Open Catalyst Project": [[146, "ocp-by-open-catalyst-project"]], "Download data": [[146, "download-data"]], "Train and evaluate models": [[146, "train-and-evaluate-models"]], "Pretrained model weights": [[146, "pretrained-model-weights"]], "Discussion": [[146, "discussion"]], "Acknowledgements": [[146, "acknowledgements"]], "Citing ocp": [[146, "citing-ocp"]], "Open Catalyst Project Tutorial Notebook": [[147, "open-catalyst-project-tutorial-notebook"]], "Background <a name=\"background\"></a>": [[147, "background"]], "Objective <a name=\"objective\"></a>": [[147, "objective"]], "Climate Impact": [[147, "climate-impact"]], "Target Audience": [[147, "target-audience"]], "Background & Prerequisites": [[147, "background-prerequisites"]], "Background References": [[147, "background-references"]], "Software Requirements": [[147, "software-requirements"]], "Dataset Overview": [[147, "dataset-overview"]], "Tutorial Use": [[147, "tutorial-use"]], "Data Download [~1min] <a name=\"download\"></a>": [[147, "data-download-1min"]], "Data Visualization <a name=\"visual\"></a>": [[147, "data-visualization"]], "Understanding the data": [[147, "understanding-the-data"], [149, "understanding-the-data"]], "Generating sample data": [[147, "generating-sample-data"], [149, "generating-sample-data"]], "Structural relaxations": [[147, "structural-relaxations"]], "Reading a trajectory": [[147, "reading-a-trajectory"], [149, "reading-a-trajectory"]], "Viewing a trajectory": [[147, "viewing-a-trajectory"], [149, "viewing-a-trajectory"]], "Data contents <a name=\"contents\"></a>": [[147, "data-contents"]], "Atomic numbers": [[147, "atomic-numbers"], [149, "atomic-numbers"]], "Atomic symbols": [[147, "atomic-symbols"], [149, "atomic-symbols"]], "Unit cell": [[147, "unit-cell"], [149, "unit-cell"]], "Periodic boundary conditions (PBC)": [[147, "periodic-boundary-conditions-pbc"], [149, "periodic-boundary-conditions-pbc"]], "Tags": [[147, "tags"], [149, "tags"]], "Fixed atoms constraint": [[147, "fixed-atoms-constraint"], [149, "fixed-atoms-constraint"]], "Adsorption energy": [[147, "adsorption-energy"]], "Plot energy profile of toy trajectory": [[147, "plot-energy-profile-of-toy-trajectory"]], "Force": [[147, "force"]], "Interacting with the OC20 datasets": [[147, "interacting-with-the-oc20-datasets"]], "Additional Resources": [[147, "additional-resources"]], "Tasks": [[147, "tasks"]], "Structure to Energy and Forces (S2EF) <a name=\"s2ef\"></a>": [[147, "structure-to-energy-and-forces-s2ef"]], "Steps for training an S2EF model": [[147, "steps-for-training-an-s2ef-model"]], "Imports": [[147, "imports"], [147, "id1"], [147, "id8"], [147, "id13"]], "Dataset": [[147, "dataset"], [147, "id2"], [147, "id9"]], "Normalize data": [[147, "normalize-data"], [147, "id3"]], "Define the Config": [[147, "define-the-config"], [147, "id4"], [147, "id10"]], "Create the trainer": [[147, "create-the-trainer"], [147, "id11"]], "Train the model": [[147, "train-the-model"]], "Validate the model": [[147, "validate-the-model"]], "Load the best checkpoint": [[147, "load-the-best-checkpoint"], [147, "id7"], [147, "id12"]], "Run on the test set": [[147, "run-on-the-test-set"]], "Initial Structure to Relaxed Energy (IS2RE) <a name=\"is2re\"></a>": [[147, "initial-structure-to-relaxed-energy-is2re"]], "Steps for training an IS2RE model": [[147, "steps-for-training-an-is2re-model"]], "Train the Model": [[147, "id5"]], "Validate the Model": [[147, "id6"]], "Test the model": [[147, "test-the-model"]], "Initial Structure to Relaxed Structure (IS2RS) <a name=\"is2rs\"></a>": [[147, "initial-structure-to-relaxed-structure-is2rs"]], "Steps for making IS2RS predictions": [[147, "steps-for-making-is2rs-predictions"]], "Download pretrained checkpoint": [[147, "download-pretrained-checkpoint"], [147, "id14"]], "Run relaxations": [[147, "run-relaxations"]], "Visualize ML-driven relaxations": [[147, "visualize-ml-driven-relaxations"]], "Model development <a name=\"model-dev\"></a>": [[147, "model-development"]], "Atom and Edge Embeddings": [[147, "atom-and-edge-embeddings"]], "Message passing": [[147, "message-passing"]], "Training the model": [[147, "training-the-model"]], "Incorporating triplets and training GemNet-T": [[147, "incorporating-triplets-and-training-gemnet-t"]], "(Optional) OCP Calculator <a name=\"calc\"></a>": [[147, "optional-ocp-calculator"]], "Using the OCP Calculator": [[147, "using-the-ocp-calculator"]], "(Optional) Creating your own LMDBs for use in the OCP repository": [[147, "optional-creating-your-own-lmdbs-for-use-in-the-ocp-repository"]], "Initial Structure to Relaxed Energy (IS2RE) LMDBs": [[147, "initial-structure-to-relaxed-energy-is2re-lmdbs"]], "Running on command line [Preferred way to train models] <a name=\"cmd\"></a>": [[147, "running-on-command-line-preferred-way-to-train-models"]], "Limitations <a name=\"limit\"></a>": [[147, "limitations"]], "Next Steps <a name=\"steps\"></a>": [[147, "next-steps"]], "References": [[147, "references"]], "OCP Data Preprocessing Tutorial": [[148, "ocp-data-preprocessing-tutorial"]], "Convert Atoms object to Data object": [[148, "convert-atoms-object-to-data-object"]], "Adding additional info to your Data objects": [[148, "adding-additional-info-to-your-data-objects"]], "OCP Data Visualization": [[149, "ocp-data-visualization"]], "Saving a trajectory video": [[149, "saving-a-trajectory-video"]], "Data contents": [[149, "data-contents"]], "Energy": [[149, "energy"]], "Forces": [[149, "forces"]], "Resources": [[149, "resources"]], "Legacy [deprecated] Tutorials": [[150, "legacy-deprecated-tutorials"]], "Using OCP to enumerate adsorbates on alloy catalyst surfaces": [[151, "using-ocp-to-enumerate-adsorbates-on-alloy-catalyst-surfaces"]], "Introduction": [[151, "introduction"], [158, "introduction"]], "Enumerate the adsorbate-slab configurations to run relaxations on": [[151, "enumerate-the-adsorbate-slab-configurations-to-run-relaxations-on"], [154, "enumerate-the-adsorbate-slab-configurations-to-run-relaxations-on"]], "Work out a single example": [[151, "work-out-a-single-example"]], "Run an ML relaxation": [[151, "run-an-ml-relaxation"]], "Run all the systems": [[151, "run-all-the-systems"]], "Parse the trajectories and post-process": [[151, "parse-the-trajectories-and-post-process"], [154, "parse-the-trajectories-and-post-process"]], "Make parity plots for values obtained by ML v. reported in the paper": [[151, "make-parity-plots-for-values-obtained-by-ml-v-reported-in-the-paper"]], "Make figure 6b and compare to literature results": [[151, "make-figure-6b-and-compare-to-literature-results"]], "Screening catalysts with OCP": [[152, "screening-catalysts-with-ocp"]], "Simple simulations using the OCP ASE calculator": [[153, "simple-simulations-using-the-ocp-ase-calculator"]], "Calculating adsorption energies": [[153, "calculating-adsorption-energies"]], "Exercises": [[153, "exercises"], [153, "id1"]], "Trends in adsorption energies across metals.": [[153, "trends-in-adsorption-energies-across-metals"]], "Site correlations": [[153, "site-correlations"]], "Next steps": [[153, "next-steps"]], "Convergence study": [[153, "convergence-study"]], "Effects of number of layers": [[153, "effects-of-number-of-layers"]], "Effects of relaxation": [[153, "effects-of-relaxation"]], "Unit cell size": [[153, "unit-cell-size"]], "Summary": [[153, "summary"]], "AdsorbML tutorial": [[154, "adsorbml-tutorial"]], "Run ML relaxations:": [[154, "run-ml-relaxations"]], "(Optional) Deduplicate structures": [[154, "optional-deduplicate-structures"]], "Write VASP input files": [[154, "write-vasp-input-files"]], "Advanced OCP usage": [[155, "advanced-ocp-usage"]], "Working with embeddings": [[156, "working-with-embeddings"]], "A diagnostic example": [[156, "a-diagnostic-example"]], "Bulk Cu equation of state example": [[156, "bulk-cu-equation-of-state-example"]], "A clustering example": [[156, "a-clustering-example"]], "Clustering individual atoms": [[156, "clustering-individual-atoms"]], "A simple vector search example": [[156, "a-simple-vector-search-example"]], "Fine-tuning with Python": [[157, "fine-tuning-with-python"]], "Split the data into train, test, val sets": [[157, "split-the-data-into-train-test-val-sets"]], "Setup the training code": [[157, "setup-the-training-code"]], "Setup the training task": [[157, "setup-the-training-task"]], "Run the training task": [[157, "run-the-training-task"]], "Intro and background on OCP and DFT": [[158, "intro-and-background-on-ocp-and-dft"]], "Abstract": [[158, "abstract"]], "Walkthrough video": [[158, "walkthrough-video"]], "Datasets / Tasks": [[158, "datasets-tasks"]], "Checkpoints": [[158, "checkpoints"]], "Goals for this tutorial": [[158, "goals-for-this-tutorial"]], "About the compute environment": [[158, "about-the-compute-environment"]], "Technical presentations": [[159, "technical-presentations"]]}, "indexentries": {"balancedbatchsampler (class in ocpmodels.common.data_parallel)": [[1, "ocpmodels.common.data_parallel.BalancedBatchSampler"]], "ocpcollater (class in ocpmodels.common.data_parallel)": [[1, "ocpmodels.common.data_parallel.OCPCollater"]], "statefuldistributedsampler (class in ocpmodels.common.data_parallel)": [[1, "ocpmodels.common.data_parallel.StatefulDistributedSampler"]], "_hasmetadata (class in ocpmodels.common.data_parallel)": [[1, "ocpmodels.common.data_parallel._HasMetadata"]], "__call__() (ocpmodels.common.data_parallel.ocpcollater method)": [[1, "ocpmodels.common.data_parallel.OCPCollater.__call__"]], "__iter__() (ocpmodels.common.data_parallel.balancedbatchsampler method)": [[1, "ocpmodels.common.data_parallel.BalancedBatchSampler.__iter__"]], "__iter__() (ocpmodels.common.data_parallel.statefuldistributedsampler method)": [[1, "ocpmodels.common.data_parallel.StatefulDistributedSampler.__iter__"]], "__len__() (ocpmodels.common.data_parallel.balancedbatchsampler method)": [[1, "ocpmodels.common.data_parallel.BalancedBatchSampler.__len__"]], "_load_dataset() (ocpmodels.common.data_parallel.balancedbatchsampler method)": [[1, "ocpmodels.common.data_parallel.BalancedBatchSampler._load_dataset"]], "balanced_partition() (in module ocpmodels.common.data_parallel)": [[1, "ocpmodels.common.data_parallel.balanced_partition"]], "metadata_path (ocpmodels.common.data_parallel._hasmetadata property)": [[1, "ocpmodels.common.data_parallel._HasMetadata.metadata_path"]], "module": [[1, "module-ocpmodels.common.data_parallel"], [2, "module-ocpmodels.common.distutils"], [3, "module-ocpmodels.common.flags"], [4, "module-ocpmodels.common.gp_utils"], [5, "module-ocpmodels.common.hpo_utils"], [6, "module-ocpmodels.common"], [7, "module-ocpmodels.common.logger"], [8, "module-ocpmodels.common.registry"], [9, "module-ocpmodels.common.relaxation.ase_utils"], [10, "module-ocpmodels.common.relaxation"], [11, "module-ocpmodels.common.relaxation.ml_relaxation"], [12, "module-ocpmodels.common.relaxation.optimizers"], [13, "module-ocpmodels.common.relaxation.optimizers.lbfgs_torch"], [14, "module-ocpmodels.common.transforms"], [15, "module-ocpmodels.common.tutorial_utils"], [16, "module-ocpmodels.common.typing"], [17, "module-ocpmodels.common.utils"], [18, "module-ocpmodels.datasets._utils"], [19, "module-ocpmodels.datasets.ase_datasets"], [20, "module-ocpmodels.datasets.embeddings.atomic_radii"], [21, "module-ocpmodels.datasets.embeddings.continuous_embeddings"], [22, "module-ocpmodels.datasets.embeddings"], [23, "module-ocpmodels.datasets.embeddings.khot_embeddings"], [24, "module-ocpmodels.datasets.embeddings.qmof_khot_embeddings"], [25, "module-ocpmodels.datasets"], [26, "module-ocpmodels.datasets.lmdb_database"], [27, "module-ocpmodels.datasets.lmdb_dataset"], [28, "module-ocpmodels.datasets.oc22_lmdb_dataset"], [29, "module-ocpmodels.datasets.target_metadata_guesser"], [30, "module-ocpmodels"], [31, "module-ocpmodels.models.base"], [32, "module-ocpmodels.models.dimenet_plus_plus"], [33, "module-ocpmodels.models.equiformer_v2.activation"], [34, "module-ocpmodels.models.equiformer_v2.drop"], [35, "module-ocpmodels.models.equiformer_v2.edge_rot_mat"], [36, "module-ocpmodels.models.equiformer_v2.equiformer_v2_oc20"], [37, "module-ocpmodels.models.equiformer_v2.gaussian_rbf"], [38, "module-ocpmodels.models.equiformer_v2"], [39, "module-ocpmodels.models.equiformer_v2.input_block"], [40, "module-ocpmodels.models.equiformer_v2.layer_norm"], [41, "module-ocpmodels.models.equiformer_v2.module_list"], [42, "module-ocpmodels.models.equiformer_v2.radial_function"], [43, "module-ocpmodels.models.equiformer_v2.so2_ops"], [44, "module-ocpmodels.models.equiformer_v2.so3"], [45, "module-ocpmodels.models.equiformer_v2.trainers.energy_trainer"], [46, "module-ocpmodels.models.equiformer_v2.trainers.forces_trainer"], [47, "module-ocpmodels.models.equiformer_v2.trainers"], [48, "module-ocpmodels.models.equiformer_v2.trainers.lr_scheduler"], [49, "module-ocpmodels.models.equiformer_v2.transformer_block"], [50, "module-ocpmodels.models.equiformer_v2.wigner"], [51, "module-ocpmodels.models.escn.escn"], [52, "module-ocpmodels.models.escn"], [53, "module-ocpmodels.models.escn.so3"], [54, "module-ocpmodels.models.gemnet.gemnet"], [55, "module-ocpmodels.models.gemnet"], [56, "module-ocpmodels.models.gemnet.initializers"], [57, "module-ocpmodels.models.gemnet.layers.atom_update_block"], [58, "module-ocpmodels.models.gemnet.layers.base_layers"], [59, "module-ocpmodels.models.gemnet.layers.basis_utils"], [60, "module-ocpmodels.models.gemnet.layers.efficient"], [61, "module-ocpmodels.models.gemnet.layers.embedding_block"], [62, "module-ocpmodels.models.gemnet.layers"], [63, "module-ocpmodels.models.gemnet.layers.interaction_block"], [64, "module-ocpmodels.models.gemnet.layers.radial_basis"], [65, "module-ocpmodels.models.gemnet.layers.spherical_basis"], [66, "module-ocpmodels.models.gemnet.utils"], [67, "module-ocpmodels.models.gemnet_gp.gemnet"], [68, "module-ocpmodels.models.gemnet_gp"], [69, "module-ocpmodels.models.gemnet_gp.initializers"], [70, "module-ocpmodels.models.gemnet_gp.layers.atom_update_block"], [71, "module-ocpmodels.models.gemnet_gp.layers.base_layers"], [72, "module-ocpmodels.models.gemnet_gp.layers.basis_utils"], [73, "module-ocpmodels.models.gemnet_gp.layers.efficient"], [74, "module-ocpmodels.models.gemnet_gp.layers.embedding_block"], [75, "module-ocpmodels.models.gemnet_gp.layers"], [76, "module-ocpmodels.models.gemnet_gp.layers.interaction_block"], [77, "module-ocpmodels.models.gemnet_gp.layers.radial_basis"], [78, "module-ocpmodels.models.gemnet_gp.layers.spherical_basis"], [79, "module-ocpmodels.models.gemnet_gp.utils"], [80, "module-ocpmodels.models.gemnet_oc.gemnet_oc"], [81, "module-ocpmodels.models.gemnet_oc"], [82, "module-ocpmodels.models.gemnet_oc.initializers"], [83, "module-ocpmodels.models.gemnet_oc.interaction_indices"], [84, "module-ocpmodels.models.gemnet_oc.layers.atom_update_block"], [85, "module-ocpmodels.models.gemnet_oc.layers.base_layers"], [86, "module-ocpmodels.models.gemnet_oc.layers.basis_utils"], [87, "module-ocpmodels.models.gemnet_oc.layers.efficient"], [88, "module-ocpmodels.models.gemnet_oc.layers.embedding_block"], [89, "module-ocpmodels.models.gemnet_oc.layers.force_scaler"], [90, "module-ocpmodels.models.gemnet_oc.layers"], [91, "module-ocpmodels.models.gemnet_oc.layers.interaction_block"], [92, "module-ocpmodels.models.gemnet_oc.layers.radial_basis"], [93, "module-ocpmodels.models.gemnet_oc.layers.spherical_basis"], [94, "module-ocpmodels.models.gemnet_oc.utils"], [95, "module-ocpmodels.models"], [96, "module-ocpmodels.models.model_registry"], [97, "module-ocpmodels.models.painn"], [98, "module-ocpmodels.models.painn.painn"], [99, "module-ocpmodels.models.painn.utils"], [100, "module-ocpmodels.models.schnet"], [101, "module-ocpmodels.models.scn"], [102, "module-ocpmodels.models.scn.sampling"], [103, "module-ocpmodels.models.scn.scn"], [104, "module-ocpmodels.models.scn.smearing"], [105, "module-ocpmodels.models.scn.spherical_harmonics"], [106, "module-ocpmodels.models.utils.activations"], [107, "module-ocpmodels.models.utils.basis"], [108, "module-ocpmodels.models.utils"], [109, "module-ocpmodels.modules.evaluator"], [110, "module-ocpmodels.modules.exponential_moving_average"], [111, "module-ocpmodels.modules"], [112, "module-ocpmodels.modules.loss"], [113, "module-ocpmodels.modules.normalizer"], [114, "module-ocpmodels.modules.scaling.compat"], [115, "module-ocpmodels.modules.scaling.fit"], [116, "module-ocpmodels.modules.scaling"], [117, "module-ocpmodels.modules.scaling.scale_factor"], [118, "module-ocpmodels.modules.scaling.util"], [119, "module-ocpmodels.modules.scheduler"], [120, "module-ocpmodels.modules.transforms"], [121, "module-ocpmodels.preprocessing.atoms_to_graphs"], [122, "module-ocpmodels.preprocessing"], [123, "module-ocpmodels.tasks"], [124, "module-ocpmodels.tasks.task"], [125, "module-ocpmodels.trainers.base_trainer"], [126, "module-ocpmodels.trainers"], [127, "module-ocpmodels.trainers.ocp_trainer"]], "ocpmodels.common.data_parallel": [[1, "module-ocpmodels.common.data_parallel"]], "set_epoch_and_start_iteration() (ocpmodels.common.data_parallel.balancedbatchsampler method)": [[1, "ocpmodels.common.data_parallel.BalancedBatchSampler.set_epoch_and_start_iteration"]], "set_epoch_and_start_iteration() (ocpmodels.common.data_parallel.statefuldistributedsampler method)": [[1, "ocpmodels.common.data_parallel.StatefulDistributedSampler.set_epoch_and_start_iteration"]], "all_gather() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.all_gather"]], "all_reduce() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.all_reduce"]], "broadcast() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.broadcast"]], "cleanup() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.cleanup"]], "get_rank() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.get_rank"]], "get_world_size() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.get_world_size"]], "initialized() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.initialized"]], "is_master() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.is_master"]], "ocpmodels.common.distutils": [[2, "module-ocpmodels.common.distutils"]], "os_environ_get_or_throw() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.os_environ_get_or_throw"]], "setup() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.setup"]], "synchronize() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.synchronize"]], "flags (class in ocpmodels.common.flags)": [[3, "ocpmodels.common.flags.Flags"]], "add_core_args() (ocpmodels.common.flags.flags method)": [[3, "ocpmodels.common.flags.Flags.add_core_args"]], "flags (in module ocpmodels.common.flags)": [[3, "ocpmodels.common.flags.flags"]], "get_parser() (ocpmodels.common.flags.flags method)": [[3, "ocpmodels.common.flags.Flags.get_parser"]], "ocpmodels.common.flags": [[3, "module-ocpmodels.common.flags"]], "copytomodelparallelregion (class in ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.CopyToModelParallelRegion"]], "gatherfrommodelparallelregion (class in ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.GatherFromModelParallelRegion"]], "reducefrommodelparallelregion (class in ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.ReduceFromModelParallelRegion"]], "scattertomodelparallelregion (class in ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.ScatterToModelParallelRegion"]], "_data_parallel_group (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._DATA_PARALLEL_GROUP"]], "_graph_parallel_group (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._GRAPH_PARALLEL_GROUP"]], "_gather() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._gather"]], "_gather_with_padding() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._gather_with_padding"]], "_reduce() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._reduce"]], "_split() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._split"]], "_split_tensor() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._split_tensor"]], "backward() (ocpmodels.common.gp_utils.copytomodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.CopyToModelParallelRegion.backward"]], "backward() (ocpmodels.common.gp_utils.gatherfrommodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.GatherFromModelParallelRegion.backward"]], "backward() (ocpmodels.common.gp_utils.reducefrommodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.ReduceFromModelParallelRegion.backward"]], "backward() (ocpmodels.common.gp_utils.scattertomodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.ScatterToModelParallelRegion.backward"]], "cleanup_gp() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.cleanup_gp"]], "copy_to_model_parallel_region() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.copy_to_model_parallel_region"]], "divide_and_check_no_remainder() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.divide_and_check_no_remainder"]], "ensure_div() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.ensure_div"]], "forward() (ocpmodels.common.gp_utils.copytomodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.CopyToModelParallelRegion.forward"]], "forward() (ocpmodels.common.gp_utils.gatherfrommodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.GatherFromModelParallelRegion.forward"]], "forward() (ocpmodels.common.gp_utils.reducefrommodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.ReduceFromModelParallelRegion.forward"]], "forward() (ocpmodels.common.gp_utils.scattertomodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.ScatterToModelParallelRegion.forward"]], "gather_from_model_parallel_region() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.gather_from_model_parallel_region"]], "get_dp_group() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.get_dp_group"]], "get_dp_rank() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.get_dp_rank"]], "get_dp_world_size() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.get_dp_world_size"]], "get_gp_group() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.get_gp_group"]], "get_gp_rank() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.get_gp_rank"]], "get_gp_world_size() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.get_gp_world_size"]], "initialized() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.initialized"]], "ocpmodels.common.gp_utils": [[4, "module-ocpmodels.common.gp_utils"]], "pad_tensor() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.pad_tensor"]], "reduce_from_model_parallel_region() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.reduce_from_model_parallel_region"]], "scatter_to_model_parallel_region() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.scatter_to_model_parallel_region"]], "setup_gp() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.setup_gp"]], "trim_tensor() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.trim_tensor"]], "label_metric_dict() (in module ocpmodels.common.hpo_utils)": [[5, "ocpmodels.common.hpo_utils.label_metric_dict"]], "ocpmodels.common.hpo_utils": [[5, "module-ocpmodels.common.hpo_utils"]], "tune_reporter() (in module ocpmodels.common.hpo_utils)": [[5, "ocpmodels.common.hpo_utils.tune_reporter"]], "ocpmodels.common": [[6, "module-ocpmodels.common"]], "logger (class in ocpmodels.common.logger)": [[7, "ocpmodels.common.logger.Logger"]], "tensorboardlogger (class in ocpmodels.common.logger)": [[7, "ocpmodels.common.logger.TensorboardLogger"]], "wandblogger (class in ocpmodels.common.logger)": [[7, "ocpmodels.common.logger.WandBLogger"]], "log() (ocpmodels.common.logger.logger method)": [[7, "ocpmodels.common.logger.Logger.log"]], "log() (ocpmodels.common.logger.tensorboardlogger method)": [[7, "ocpmodels.common.logger.TensorboardLogger.log"]], "log() (ocpmodels.common.logger.wandblogger method)": [[7, "ocpmodels.common.logger.WandBLogger.log"]], "log_plots() (ocpmodels.common.logger.logger method)": [[7, "ocpmodels.common.logger.Logger.log_plots"]], "log_plots() (ocpmodels.common.logger.tensorboardlogger method)": [[7, "ocpmodels.common.logger.TensorboardLogger.log_plots"]], "log_plots() (ocpmodels.common.logger.wandblogger method)": [[7, "ocpmodels.common.logger.WandBLogger.log_plots"]], "mark_preempting() (ocpmodels.common.logger.logger method)": [[7, "ocpmodels.common.logger.Logger.mark_preempting"]], "mark_preempting() (ocpmodels.common.logger.tensorboardlogger method)": [[7, "ocpmodels.common.logger.TensorboardLogger.mark_preempting"]], "mark_preempting() (ocpmodels.common.logger.wandblogger method)": [[7, "ocpmodels.common.logger.WandBLogger.mark_preempting"]], "ocpmodels.common.logger": [[7, "module-ocpmodels.common.logger"]], "watch() (ocpmodels.common.logger.logger method)": [[7, "ocpmodels.common.logger.Logger.watch"]], "watch() (ocpmodels.common.logger.tensorboardlogger method)": [[7, "ocpmodels.common.logger.TensorboardLogger.watch"]], "watch() (ocpmodels.common.logger.wandblogger method)": [[7, "ocpmodels.common.logger.WandBLogger.watch"]], "nesteddict (in module ocpmodels.common.registry)": [[8, "ocpmodels.common.registry.NestedDict"]], "r (in module ocpmodels.common.registry)": [[8, "ocpmodels.common.registry.R"]], "registry (class in ocpmodels.common.registry)": [[8, "ocpmodels.common.registry.Registry"]], "__import_error() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.__import_error"]], "_get_absolute_mapping() (in module ocpmodels.common.registry)": [[8, "ocpmodels.common.registry._get_absolute_mapping"]], "get() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get"]], "get_class() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get_class"]], "get_dataset_class() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get_dataset_class"]], "get_logger_class() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get_logger_class"]], "get_model_class() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get_model_class"]], "get_task_class() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get_task_class"]], "get_trainer_class() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get_trainer_class"]], "mapping (ocpmodels.common.registry.registry attribute)": [[8, "ocpmodels.common.registry.Registry.mapping"]], "ocpmodels.common.registry": [[8, "module-ocpmodels.common.registry"]], "register() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.register"]], "register_dataset() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.register_dataset"]], "register_logger() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.register_logger"]], "register_model() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.register_model"]], "register_task() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.register_task"]], "register_trainer() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.register_trainer"]], "registry (in module ocpmodels.common.registry)": [[8, "ocpmodels.common.registry.registry"]], "unregister() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.unregister"]], "ocpcalculator (class in ocpmodels.common.relaxation.ase_utils)": [[9, "ocpmodels.common.relaxation.ase_utils.OCPCalculator"]], "batch_to_atoms() (in module ocpmodels.common.relaxation.ase_utils)": [[9, "ocpmodels.common.relaxation.ase_utils.batch_to_atoms"]], "calculate() (ocpmodels.common.relaxation.ase_utils.ocpcalculator method)": [[9, "ocpmodels.common.relaxation.ase_utils.OCPCalculator.calculate"]], "implemented_properties (ocpmodels.common.relaxation.ase_utils.ocpcalculator attribute)": [[9, "ocpmodels.common.relaxation.ase_utils.OCPCalculator.implemented_properties"]], "load_checkpoint() (ocpmodels.common.relaxation.ase_utils.ocpcalculator method)": [[9, "ocpmodels.common.relaxation.ase_utils.OCPCalculator.load_checkpoint"]], "ocpmodels.common.relaxation.ase_utils": [[9, "module-ocpmodels.common.relaxation.ase_utils"]], "ocpmodels.common.relaxation": [[10, "module-ocpmodels.common.relaxation"]], "ml_relax() (in module ocpmodels.common.relaxation.ml_relaxation)": [[11, "ocpmodels.common.relaxation.ml_relaxation.ml_relax"]], "ocpmodels.common.relaxation.ml_relaxation": [[11, "module-ocpmodels.common.relaxation.ml_relaxation"]], "ocpmodels.common.relaxation.optimizers": [[12, "module-ocpmodels.common.relaxation.optimizers"]], "lbfgs (class in ocpmodels.common.relaxation.optimizers.lbfgs_torch)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS"]], "torchcalc (class in ocpmodels.common.relaxation.optimizers.lbfgs_torch)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.TorchCalc"]], "check_convergence() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.lbfgs method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS.check_convergence"]], "get_energy_and_forces() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.lbfgs method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS.get_energy_and_forces"]], "get_energy_and_forces() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.torchcalc method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.TorchCalc.get_energy_and_forces"]], "ocpmodels.common.relaxation.optimizers.lbfgs_torch": [[13, "module-ocpmodels.common.relaxation.optimizers.lbfgs_torch"]], "run() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.lbfgs method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS.run"]], "set_positions() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.lbfgs method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS.set_positions"]], "step() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.lbfgs method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS.step"]], "update_graph() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.torchcalc method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.TorchCalc.update_graph"]], "write() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.lbfgs method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS.write"]], "randomrotate (class in ocpmodels.common.transforms)": [[14, "ocpmodels.common.transforms.RandomRotate"]], "__call__() (ocpmodels.common.transforms.randomrotate method)": [[14, "ocpmodels.common.transforms.RandomRotate.__call__"]], "__repr__() (ocpmodels.common.transforms.randomrotate method)": [[14, "ocpmodels.common.transforms.RandomRotate.__repr__"]], "ocpmodels.common.transforms": [[14, "module-ocpmodels.common.transforms"]], "describe_ocp() (in module ocpmodels.common.tutorial_utils)": [[15, "ocpmodels.common.tutorial_utils.describe_ocp"]], "generate_yml_config() (in module ocpmodels.common.tutorial_utils)": [[15, "ocpmodels.common.tutorial_utils.generate_yml_config"]], "ocp_main() (in module ocpmodels.common.tutorial_utils)": [[15, "ocpmodels.common.tutorial_utils.ocp_main"]], "ocp_root() (in module ocpmodels.common.tutorial_utils)": [[15, "ocpmodels.common.tutorial_utils.ocp_root"]], "ocpmodels.common.tutorial_utils": [[15, "module-ocpmodels.common.tutorial_utils"]], "train_test_val_split() (in module ocpmodels.common.tutorial_utils)": [[15, "ocpmodels.common.tutorial_utils.train_test_val_split"]], "_t (in module ocpmodels.common.typing)": [[16, "ocpmodels.common.typing._T"]], "assert_is_instance() (in module ocpmodels.common.typing)": [[16, "ocpmodels.common.typing.assert_is_instance"]], "none_throws() (in module ocpmodels.common.typing)": [[16, "ocpmodels.common.typing.none_throws"]], "ocpmodels.common.typing": [[16, "module-ocpmodels.common.typing"]], "complete (class in ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.Complete"]], "severitylevelbetween (class in ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.SeverityLevelBetween"]], "__call__() (ocpmodels.common.utils.complete method)": [[17, "ocpmodels.common.utils.Complete.__call__"]], "_get_project_root() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils._get_project_root"]], "_import_local_file() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils._import_local_file"]], "_report_incompat_keys() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils._report_incompat_keys"]], "_resolve_scale_factor_submodule() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils._resolve_scale_factor_submodule"]], "add_edge_distance_to_graph() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.add_edge_distance_to_graph"]], "build_config() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.build_config"]], "cg_change_mat() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.cg_change_mat"]], "check_traj_files() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.check_traj_files"]], "collate() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.collate"]], "compute_neighbors() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.compute_neighbors"]], "conditional_grad() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.conditional_grad"]], "create_dict_from_args() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.create_dict_from_args"]], "create_grid() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.create_grid"]], "dict_set_recursively() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.dict_set_recursively"]], "filter() (ocpmodels.common.utils.severitylevelbetween method)": [[17, "ocpmodels.common.utils.SeverityLevelBetween.filter"]], "get_commit_hash() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.get_commit_hash"]], "get_loss_module() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.get_loss_module"]], "get_max_neighbors_mask() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.get_max_neighbors_mask"]], "get_pbc_distances() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.get_pbc_distances"]], "get_pruned_edge_idx() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.get_pruned_edge_idx"]], "irreps_sum() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.irreps_sum"]], "load_config() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.load_config"]], "load_state_dict() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.load_state_dict"]], "merge_dicts() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.merge_dicts"]], "new_trainer_context() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.new_trainer_context"]], "ocpmodels.common.utils": [[17, "module-ocpmodels.common.utils"]], "parse_value() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.parse_value"]], "plot_histogram() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.plot_histogram"]], "print_cuda_usage() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.print_cuda_usage"]], "pyg2_data_transform() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.pyg2_data_transform"]], "radius_graph_pbc() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.radius_graph_pbc"]], "save_checkpoint() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.save_checkpoint"]], "save_experiment_log() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.save_experiment_log"]], "scatter_det() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.scatter_det"]], "setup_experimental_imports() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.setup_experimental_imports"]], "setup_imports() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.setup_imports"]], "setup_logging() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.setup_logging"]], "update_config() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.update_config"]], "warmup_lr_lambda() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.warmup_lr_lambda"]], "ocpmodels.datasets._utils": [[18, "module-ocpmodels.datasets._utils"]], "rename_data_object_keys() (in module ocpmodels.datasets._utils)": [[18, "ocpmodels.datasets._utils.rename_data_object_keys"]], "aseatomsdataset (class in ocpmodels.datasets.ase_datasets)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset"]], "asedbdataset (class in ocpmodels.datasets.ase_datasets)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset"]], "asereaddataset (class in ocpmodels.datasets.ase_datasets)": [[19, "ocpmodels.datasets.ase_datasets.AseReadDataset"]], "asereadmultistructuredataset (class in ocpmodels.datasets.ase_datasets)": [[19, "ocpmodels.datasets.ase_datasets.AseReadMultiStructureDataset"]], "__getitem__() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset.__getitem__"]], "__len__() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset.__len__"]], "_load_dataset_get_ids() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset._load_dataset_get_ids"]], "_load_dataset_get_ids() (ocpmodels.datasets.ase_datasets.asedbdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset._load_dataset_get_ids"]], "_load_dataset_get_ids() (ocpmodels.datasets.ase_datasets.asereaddataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadDataset._load_dataset_get_ids"]], "_load_dataset_get_ids() (ocpmodels.datasets.ase_datasets.asereadmultistructuredataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadMultiStructureDataset._load_dataset_get_ids"]], "apply_one_tags() (in module ocpmodels.datasets.ase_datasets)": [[19, "ocpmodels.datasets.ase_datasets.apply_one_tags"]], "close_db() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset.close_db"]], "close_db() (ocpmodels.datasets.ase_datasets.asedbdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset.close_db"]], "connect_db() (ocpmodels.datasets.ase_datasets.asedbdataset static method)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset.connect_db"]], "get_atoms() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset.get_atoms"]], "get_atoms() (ocpmodels.datasets.ase_datasets.asedbdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset.get_atoms"]], "get_atoms() (ocpmodels.datasets.ase_datasets.asereaddataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadDataset.get_atoms"]], "get_atoms() (ocpmodels.datasets.ase_datasets.asereadmultistructuredataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadMultiStructureDataset.get_atoms"]], "get_metadata() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset.get_metadata"]], "get_metadata() (ocpmodels.datasets.ase_datasets.asedbdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset.get_metadata"]], "get_metadata() (ocpmodels.datasets.ase_datasets.asereadmultistructuredataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadMultiStructureDataset.get_metadata"]], "get_relaxed_energy() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset.get_relaxed_energy"]], "get_relaxed_energy() (ocpmodels.datasets.ase_datasets.asedbdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset.get_relaxed_energy"]], "get_relaxed_energy() (ocpmodels.datasets.ase_datasets.asereaddataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadDataset.get_relaxed_energy"]], "get_relaxed_energy() (ocpmodels.datasets.ase_datasets.asereadmultistructuredataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadMultiStructureDataset.get_relaxed_energy"]], "ocpmodels.datasets.ase_datasets": [[19, "module-ocpmodels.datasets.ase_datasets"]], "atomic_radii (in module ocpmodels.datasets.embeddings.atomic_radii)": [[20, "ocpmodels.datasets.embeddings.atomic_radii.ATOMIC_RADII"]], "ocpmodels.datasets.embeddings.atomic_radii": [[20, "module-ocpmodels.datasets.embeddings.atomic_radii"]], "continuous_embeddings (in module ocpmodels.datasets.embeddings.continuous_embeddings)": [[21, "ocpmodels.datasets.embeddings.continuous_embeddings.CONTINUOUS_EMBEDDINGS"]], "ocpmodels.datasets.embeddings.continuous_embeddings": [[21, "module-ocpmodels.datasets.embeddings.continuous_embeddings"]], "atomic_radii (in module ocpmodels.datasets.embeddings)": [[22, "ocpmodels.datasets.embeddings.ATOMIC_RADII"]], "continuous_embeddings (in module ocpmodels.datasets.embeddings)": [[22, "ocpmodels.datasets.embeddings.CONTINUOUS_EMBEDDINGS"]], "khot_embeddings (in module ocpmodels.datasets.embeddings)": [[22, "ocpmodels.datasets.embeddings.KHOT_EMBEDDINGS"]], "qmof_khot_embeddings (in module ocpmodels.datasets.embeddings)": [[22, "ocpmodels.datasets.embeddings.QMOF_KHOT_EMBEDDINGS"]], "ocpmodels.datasets.embeddings": [[22, "module-ocpmodels.datasets.embeddings"]], "khot_embeddings (in module ocpmodels.datasets.embeddings.khot_embeddings)": [[23, "ocpmodels.datasets.embeddings.khot_embeddings.KHOT_EMBEDDINGS"]], "ocpmodels.datasets.embeddings.khot_embeddings": [[23, "module-ocpmodels.datasets.embeddings.khot_embeddings"]], "qmof_khot_embeddings (in module ocpmodels.datasets.embeddings.qmof_khot_embeddings)": [[24, "ocpmodels.datasets.embeddings.qmof_khot_embeddings.QMOF_KHOT_EMBEDDINGS"]], "ocpmodels.datasets.embeddings.qmof_khot_embeddings": [[24, "module-ocpmodels.datasets.embeddings.qmof_khot_embeddings"]], "asedbdataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.AseDBDataset"]], "asereaddataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.AseReadDataset"]], "asereadmultistructuredataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.AseReadMultiStructureDataset"]], "lmdbdatabase (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.LMDBDatabase"]], "lmdbdataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.LmdbDataset"]], "oc22lmdbdataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.OC22LmdbDataset"]], "singlepointlmdbdataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.SinglePointLmdbDataset"]], "trajectorylmdbdataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.TrajectoryLmdbDataset"]], "__enter__() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase.__enter__"]], "__exit__() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase.__exit__"]], "__getitem__() (ocpmodels.datasets.lmdbdataset method)": [[25, "ocpmodels.datasets.LmdbDataset.__getitem__"]], "__getitem__() (ocpmodels.datasets.oc22lmdbdataset method)": [[25, "ocpmodels.datasets.OC22LmdbDataset.__getitem__"]], "__len__() (ocpmodels.datasets.lmdbdataset method)": [[25, "ocpmodels.datasets.LmdbDataset.__len__"]], "__len__() (ocpmodels.datasets.oc22lmdbdataset method)": [[25, "ocpmodels.datasets.OC22LmdbDataset.__len__"]], "_get_row() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._get_row"]], "_get_row_by_index() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._get_row_by_index"]], "_load_dataset_get_ids() (ocpmodels.datasets.asedbdataset method)": [[25, "ocpmodels.datasets.AseDBDataset._load_dataset_get_ids"]], "_load_dataset_get_ids() (ocpmodels.datasets.asereaddataset method)": [[25, "ocpmodels.datasets.AseReadDataset._load_dataset_get_ids"]], "_load_dataset_get_ids() (ocpmodels.datasets.asereadmultistructuredataset method)": [[25, "ocpmodels.datasets.AseReadMultiStructureDataset._load_dataset_get_ids"]], "_load_ids() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._load_ids"]], "_nextid (ocpmodels.datasets.lmdbdatabase property)": [[25, "ocpmodels.datasets.LMDBDatabase._nextid"]], "_select() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._select"]], "_update() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._update"]], "_write() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._write"]], "_write_deleted_ids() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._write_deleted_ids"]], "close() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase.close"]], "close_db() (ocpmodels.datasets.asedbdataset method)": [[25, "ocpmodels.datasets.AseDBDataset.close_db"]], "close_db() (ocpmodels.datasets.lmdbdataset method)": [[25, "ocpmodels.datasets.LmdbDataset.close_db"]], "close_db() (ocpmodels.datasets.oc22lmdbdataset method)": [[25, "ocpmodels.datasets.OC22LmdbDataset.close_db"]], "connect_db() (ocpmodels.datasets.asedbdataset static method)": [[25, "ocpmodels.datasets.AseDBDataset.connect_db"]], "connect_db() (ocpmodels.datasets.lmdbdataset method)": [[25, "ocpmodels.datasets.LmdbDataset.connect_db"]], "connect_db() (ocpmodels.datasets.oc22lmdbdataset method)": [[25, "ocpmodels.datasets.OC22LmdbDataset.connect_db"]], "count() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase.count"]], "data_list_collater() (in module ocpmodels.datasets)": [[25, "ocpmodels.datasets.data_list_collater"]], "delete() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase.delete"]], "get_atoms() (ocpmodels.datasets.asedbdataset method)": [[25, "ocpmodels.datasets.AseDBDataset.get_atoms"]], "get_atoms() (ocpmodels.datasets.asereaddataset method)": [[25, "ocpmodels.datasets.AseReadDataset.get_atoms"]], "get_atoms() (ocpmodels.datasets.asereadmultistructuredataset method)": [[25, "ocpmodels.datasets.AseReadMultiStructureDataset.get_atoms"]], "get_metadata() (ocpmodels.datasets.asedbdataset method)": [[25, "ocpmodels.datasets.AseDBDataset.get_metadata"]], "get_metadata() (ocpmodels.datasets.asereadmultistructuredataset method)": [[25, "ocpmodels.datasets.AseReadMultiStructureDataset.get_metadata"]], "get_metadata() (ocpmodels.datasets.lmdbdataset method)": [[25, "ocpmodels.datasets.LmdbDataset.get_metadata"]], "get_relaxed_energy() (ocpmodels.datasets.asedbdataset method)": [[25, "ocpmodels.datasets.AseDBDataset.get_relaxed_energy"]], "get_relaxed_energy() (ocpmodels.datasets.asereaddataset method)": [[25, "ocpmodels.datasets.AseReadDataset.get_relaxed_energy"]], "get_relaxed_energy() (ocpmodels.datasets.asereadmultistructuredataset method)": [[25, "ocpmodels.datasets.AseReadMultiStructureDataset.get_relaxed_energy"]], "metadata (ocpmodels.datasets.lmdbdatabase property)": [[25, "ocpmodels.datasets.LMDBDatabase.metadata"]], "metadata_path (ocpmodels.datasets.lmdbdataset attribute)": [[25, "ocpmodels.datasets.LmdbDataset.metadata_path"]], "ocpmodels.datasets": [[25, "module-ocpmodels.datasets"]], "sharded (ocpmodels.datasets.lmdbdataset attribute)": [[25, "ocpmodels.datasets.LmdbDataset.sharded"]], "lmdbdatabase (class in ocpmodels.datasets.lmdb_database)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase"]], "reserved_keys (in module ocpmodels.datasets.lmdb_database)": [[26, "ocpmodels.datasets.lmdb_database.RESERVED_KEYS"]], "__enter__() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase.__enter__"]], "__exit__() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase.__exit__"]], "_get_row() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._get_row"]], "_get_row_by_index() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._get_row_by_index"]], "_load_ids() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._load_ids"]], "_nextid (ocpmodels.datasets.lmdb_database.lmdbdatabase property)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._nextid"]], "_select() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._select"]], "_update() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._update"]], "_write() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._write"]], "_write_deleted_ids() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._write_deleted_ids"]], "close() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase.close"]], "count() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase.count"]], "delete() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase.delete"]], "metadata (ocpmodels.datasets.lmdb_database.lmdbdatabase property)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase.metadata"]], "ocpmodels.datasets.lmdb_database": [[26, "module-ocpmodels.datasets.lmdb_database"]], "lmdbdataset (class in ocpmodels.datasets.lmdb_dataset)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset"]], "singlepointlmdbdataset (class in ocpmodels.datasets.lmdb_dataset)": [[27, "ocpmodels.datasets.lmdb_dataset.SinglePointLmdbDataset"]], "t_co (in module ocpmodels.datasets.lmdb_dataset)": [[27, "ocpmodels.datasets.lmdb_dataset.T_co"]], "trajectorylmdbdataset (class in ocpmodels.datasets.lmdb_dataset)": [[27, "ocpmodels.datasets.lmdb_dataset.TrajectoryLmdbDataset"]], "__getitem__() (ocpmodels.datasets.lmdb_dataset.lmdbdataset method)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.__getitem__"]], "__len__() (ocpmodels.datasets.lmdb_dataset.lmdbdataset method)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.__len__"]], "close_db() (ocpmodels.datasets.lmdb_dataset.lmdbdataset method)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.close_db"]], "connect_db() (ocpmodels.datasets.lmdb_dataset.lmdbdataset method)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.connect_db"]], "data_list_collater() (in module ocpmodels.datasets.lmdb_dataset)": [[27, "ocpmodels.datasets.lmdb_dataset.data_list_collater"]], "get_metadata() (ocpmodels.datasets.lmdb_dataset.lmdbdataset method)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.get_metadata"]], "metadata_path (ocpmodels.datasets.lmdb_dataset.lmdbdataset attribute)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.metadata_path"]], "ocpmodels.datasets.lmdb_dataset": [[27, "module-ocpmodels.datasets.lmdb_dataset"]], "sharded (ocpmodels.datasets.lmdb_dataset.lmdbdataset attribute)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.sharded"]], "oc22lmdbdataset (class in ocpmodels.datasets.oc22_lmdb_dataset)": [[28, "ocpmodels.datasets.oc22_lmdb_dataset.OC22LmdbDataset"]], "__getitem__() (ocpmodels.datasets.oc22_lmdb_dataset.oc22lmdbdataset method)": [[28, "ocpmodels.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__getitem__"]], "__len__() (ocpmodels.datasets.oc22_lmdb_dataset.oc22lmdbdataset method)": [[28, "ocpmodels.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__len__"]], "close_db() (ocpmodels.datasets.oc22_lmdb_dataset.oc22lmdbdataset method)": [[28, "ocpmodels.datasets.oc22_lmdb_dataset.OC22LmdbDataset.close_db"]], "connect_db() (ocpmodels.datasets.oc22_lmdb_dataset.oc22lmdbdataset method)": [[28, "ocpmodels.datasets.oc22_lmdb_dataset.OC22LmdbDataset.connect_db"]], "ocpmodels.datasets.oc22_lmdb_dataset": [[28, "module-ocpmodels.datasets.oc22_lmdb_dataset"]], "guess_property_metadata() (in module ocpmodels.datasets.target_metadata_guesser)": [[29, "ocpmodels.datasets.target_metadata_guesser.guess_property_metadata"]], "guess_target_metadata() (in module ocpmodels.datasets.target_metadata_guesser)": [[29, "ocpmodels.datasets.target_metadata_guesser.guess_target_metadata"]], "ocpmodels.datasets.target_metadata_guesser": [[29, "module-ocpmodels.datasets.target_metadata_guesser"]], "target_constant_shape() (in module ocpmodels.datasets.target_metadata_guesser)": [[29, "ocpmodels.datasets.target_metadata_guesser.target_constant_shape"]], "target_extensive() (in module ocpmodels.datasets.target_metadata_guesser)": [[29, "ocpmodels.datasets.target_metadata_guesser.target_extensive"]], "target_per_atom() (in module ocpmodels.datasets.target_metadata_guesser)": [[29, "ocpmodels.datasets.target_metadata_guesser.target_per_atom"]], "uniform_atoms_lengths() (in module ocpmodels.datasets.target_metadata_guesser)": [[29, "ocpmodels.datasets.target_metadata_guesser.uniform_atoms_lengths"]], "__version__ (in module ocpmodels)": [[30, "ocpmodels.__version__"]], "ocpmodels": [[30, "module-ocpmodels"]], "basemodel (class in ocpmodels.models.base)": [[31, "ocpmodels.models.base.BaseModel"]], "forward() (ocpmodels.models.base.basemodel method)": [[31, "ocpmodels.models.base.BaseModel.forward"]], "generate_graph() (ocpmodels.models.base.basemodel method)": [[31, "ocpmodels.models.base.BaseModel.generate_graph"]], "no_weight_decay() (ocpmodels.models.base.basemodel method)": [[31, "ocpmodels.models.base.BaseModel.no_weight_decay"]], "num_params (ocpmodels.models.base.basemodel property)": [[31, "ocpmodels.models.base.BaseModel.num_params"]], "ocpmodels.models.base": [[31, "module-ocpmodels.models.base"]], "dimenetplusplus (class in ocpmodels.models.dimenet_plus_plus)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlus"]], "dimenetpluspluswrap (class in ocpmodels.models.dimenet_plus_plus)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlusWrap"]], "interactionppblock (class in ocpmodels.models.dimenet_plus_plus)": [[32, "ocpmodels.models.dimenet_plus_plus.InteractionPPBlock"]], "outputppblock (class in ocpmodels.models.dimenet_plus_plus)": [[32, "ocpmodels.models.dimenet_plus_plus.OutputPPBlock"]], "_forward() (ocpmodels.models.dimenet_plus_plus.dimenetpluspluswrap method)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlusWrap._forward"]], "forward() (ocpmodels.models.dimenet_plus_plus.dimenetplusplus method)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlus.forward"]], "forward() (ocpmodels.models.dimenet_plus_plus.dimenetpluspluswrap method)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlusWrap.forward"]], "forward() (ocpmodels.models.dimenet_plus_plus.interactionppblock method)": [[32, "ocpmodels.models.dimenet_plus_plus.InteractionPPBlock.forward"]], "forward() (ocpmodels.models.dimenet_plus_plus.outputppblock method)": [[32, "ocpmodels.models.dimenet_plus_plus.OutputPPBlock.forward"]], "num_params (ocpmodels.models.dimenet_plus_plus.dimenetpluspluswrap property)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlusWrap.num_params"]], "ocpmodels.models.dimenet_plus_plus": [[32, "module-ocpmodels.models.dimenet_plus_plus"]], "reset_parameters() (ocpmodels.models.dimenet_plus_plus.dimenetplusplus method)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlus.reset_parameters"]], "reset_parameters() (ocpmodels.models.dimenet_plus_plus.interactionppblock method)": [[32, "ocpmodels.models.dimenet_plus_plus.InteractionPPBlock.reset_parameters"]], "reset_parameters() (ocpmodels.models.dimenet_plus_plus.outputppblock method)": [[32, "ocpmodels.models.dimenet_plus_plus.OutputPPBlock.reset_parameters"]], "sym (in module ocpmodels.models.dimenet_plus_plus)": [[32, "ocpmodels.models.dimenet_plus_plus.sym"]], "triplets() (ocpmodels.models.dimenet_plus_plus.dimenetplusplus method)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlus.triplets"]], "url (ocpmodels.models.dimenet_plus_plus.dimenetplusplus attribute)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlus.url"]], "gateactivation (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.GateActivation"]], "s2activation (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.S2Activation"]], "scaledsilu (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSiLU"]], "scaledsigmoid (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSigmoid"]], "scaledsmoothleakyrelu (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSmoothLeakyReLU"]], "scaledswiglu (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSwiGLU"]], "separables2activation (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.SeparableS2Activation"]], "smoothleakyrelu (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.SmoothLeakyReLU"]], "swiglu (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.SwiGLU"]], "extra_repr() (ocpmodels.models.equiformer_v2.activation.scaledsilu method)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSiLU.extra_repr"]], "extra_repr() (ocpmodels.models.equiformer_v2.activation.scaledsmoothleakyrelu method)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.extra_repr"]], "extra_repr() (ocpmodels.models.equiformer_v2.activation.smoothleakyrelu method)": [[33, "ocpmodels.models.equiformer_v2.activation.SmoothLeakyReLU.extra_repr"]], "forward() (ocpmodels.models.equiformer_v2.activation.gateactivation method)": [[33, "ocpmodels.models.equiformer_v2.activation.GateActivation.forward"]], "forward() (ocpmodels.models.equiformer_v2.activation.s2activation method)": [[33, "ocpmodels.models.equiformer_v2.activation.S2Activation.forward"]], "forward() (ocpmodels.models.equiformer_v2.activation.scaledsilu method)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSiLU.forward"]], "forward() (ocpmodels.models.equiformer_v2.activation.scaledsigmoid method)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSigmoid.forward"]], "forward() (ocpmodels.models.equiformer_v2.activation.scaledsmoothleakyrelu method)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.forward"]], "forward() (ocpmodels.models.equiformer_v2.activation.scaledswiglu method)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSwiGLU.forward"]], "forward() (ocpmodels.models.equiformer_v2.activation.separables2activation method)": [[33, "ocpmodels.models.equiformer_v2.activation.SeparableS2Activation.forward"]], "forward() (ocpmodels.models.equiformer_v2.activation.smoothleakyrelu method)": [[33, "ocpmodels.models.equiformer_v2.activation.SmoothLeakyReLU.forward"]], "forward() (ocpmodels.models.equiformer_v2.activation.swiglu method)": [[33, "ocpmodels.models.equiformer_v2.activation.SwiGLU.forward"]], "ocpmodels.models.equiformer_v2.activation": [[33, "module-ocpmodels.models.equiformer_v2.activation"]], "droppath (class in ocpmodels.models.equiformer_v2.drop)": [[34, "ocpmodels.models.equiformer_v2.drop.DropPath"]], "equivariantdropout (class in ocpmodels.models.equiformer_v2.drop)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantDropout"]], "equivariantdropoutarraysphericalharmonics (class in ocpmodels.models.equiformer_v2.drop)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics"]], "equivariantscalarsdropout (class in ocpmodels.models.equiformer_v2.drop)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantScalarsDropout"]], "graphdroppath (class in ocpmodels.models.equiformer_v2.drop)": [[34, "ocpmodels.models.equiformer_v2.drop.GraphDropPath"]], "drop_path() (in module ocpmodels.models.equiformer_v2.drop)": [[34, "ocpmodels.models.equiformer_v2.drop.drop_path"]], "extra_repr() (ocpmodels.models.equiformer_v2.drop.droppath method)": [[34, "ocpmodels.models.equiformer_v2.drop.DropPath.extra_repr"]], "extra_repr() (ocpmodels.models.equiformer_v2.drop.equivariantdropoutarraysphericalharmonics method)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.extra_repr"]], "extra_repr() (ocpmodels.models.equiformer_v2.drop.equivariantscalarsdropout method)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantScalarsDropout.extra_repr"]], "extra_repr() (ocpmodels.models.equiformer_v2.drop.graphdroppath method)": [[34, "ocpmodels.models.equiformer_v2.drop.GraphDropPath.extra_repr"]], "forward() (ocpmodels.models.equiformer_v2.drop.droppath method)": [[34, "ocpmodels.models.equiformer_v2.drop.DropPath.forward"]], "forward() (ocpmodels.models.equiformer_v2.drop.equivariantdropout method)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantDropout.forward"]], "forward() (ocpmodels.models.equiformer_v2.drop.equivariantdropoutarraysphericalharmonics method)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.forward"]], "forward() (ocpmodels.models.equiformer_v2.drop.equivariantscalarsdropout method)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantScalarsDropout.forward"]], "forward() (ocpmodels.models.equiformer_v2.drop.graphdroppath method)": [[34, "ocpmodels.models.equiformer_v2.drop.GraphDropPath.forward"]], "ocpmodels.models.equiformer_v2.drop": [[34, "module-ocpmodels.models.equiformer_v2.drop"]], "init_edge_rot_mat() (in module ocpmodels.models.equiformer_v2.edge_rot_mat)": [[35, "ocpmodels.models.equiformer_v2.edge_rot_mat.init_edge_rot_mat"]], "ocpmodels.models.equiformer_v2.edge_rot_mat": [[35, "module-ocpmodels.models.equiformer_v2.edge_rot_mat"]], "equiformerv2_oc20 (class in ocpmodels.models.equiformer_v2.equiformer_v2_oc20)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20"]], "_avg_degree (in module ocpmodels.models.equiformer_v2.equiformer_v2_oc20)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20._AVG_DEGREE"]], "_avg_num_nodes (in module ocpmodels.models.equiformer_v2.equiformer_v2_oc20)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20._AVG_NUM_NODES"]], "_init_edge_rot_mat() (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 method)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20._init_edge_rot_mat"]], "_init_weights() (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 method)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20._init_weights"]], "_uniform_init_linear_weights() (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 method)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20._uniform_init_linear_weights"]], "_uniform_init_rad_func_linear_weights() (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 method)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20._uniform_init_rad_func_linear_weights"]], "forward() (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 method)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20.forward"]], "no_weight_decay() (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 method)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20.no_weight_decay"]], "num_params (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 property)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20.num_params"]], "ocpmodels.models.equiformer_v2.equiformer_v2_oc20": [[36, "module-ocpmodels.models.equiformer_v2.equiformer_v2_oc20"]], "gaussianradialbasislayer (class in ocpmodels.models.equiformer_v2.gaussian_rbf)": [[37, "ocpmodels.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer"]], "extra_repr() (ocpmodels.models.equiformer_v2.gaussian_rbf.gaussianradialbasislayer method)": [[37, "ocpmodels.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.extra_repr"]], "forward() (ocpmodels.models.equiformer_v2.gaussian_rbf.gaussianradialbasislayer method)": [[37, "ocpmodels.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.forward"]], "gaussian() (in module ocpmodels.models.equiformer_v2.gaussian_rbf)": [[37, "ocpmodels.models.equiformer_v2.gaussian_rbf.gaussian"]], "ocpmodels.models.equiformer_v2.gaussian_rbf": [[37, "module-ocpmodels.models.equiformer_v2.gaussian_rbf"]], "equiformerv2 (class in ocpmodels.models.equiformer_v2)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2"]], "_init_edge_rot_mat() (ocpmodels.models.equiformer_v2.equiformerv2 method)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2._init_edge_rot_mat"]], "_init_weights() (ocpmodels.models.equiformer_v2.equiformerv2 method)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2._init_weights"]], "_uniform_init_linear_weights() (ocpmodels.models.equiformer_v2.equiformerv2 method)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2._uniform_init_linear_weights"]], "_uniform_init_rad_func_linear_weights() (ocpmodels.models.equiformer_v2.equiformerv2 method)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2._uniform_init_rad_func_linear_weights"]], "forward() (ocpmodels.models.equiformer_v2.equiformerv2 method)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2.forward"]], "no_weight_decay() (ocpmodels.models.equiformer_v2.equiformerv2 method)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2.no_weight_decay"]], "num_params (ocpmodels.models.equiformer_v2.equiformerv2 property)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2.num_params"]], "ocpmodels.models.equiformer_v2": [[38, "module-ocpmodels.models.equiformer_v2"]], "edgedegreeembedding (class in ocpmodels.models.equiformer_v2.input_block)": [[39, "ocpmodels.models.equiformer_v2.input_block.EdgeDegreeEmbedding"]], "forward() (ocpmodels.models.equiformer_v2.input_block.edgedegreeembedding method)": [[39, "ocpmodels.models.equiformer_v2.input_block.EdgeDegreeEmbedding.forward"]], "ocpmodels.models.equiformer_v2.input_block": [[39, "module-ocpmodels.models.equiformer_v2.input_block"]], "equivariantdegreelayerscale (class in ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale"]], "equivariantlayernormarray (class in ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArray"]], "equivariantlayernormarraysphericalharmonics (class in ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics"]], "equivariantrmsnormarraysphericalharmonics (class in ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics"]], "equivariantrmsnormarraysphericalharmonicsv2 (class in ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2"]], "__repr__() (ocpmodels.models.equiformer_v2.layer_norm.equivariantdegreelayerscale method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.__repr__"]], "__repr__() (ocpmodels.models.equiformer_v2.layer_norm.equivariantlayernormarray method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.__repr__"]], "__repr__() (ocpmodels.models.equiformer_v2.layer_norm.equivariantlayernormarraysphericalharmonics method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.__repr__"]], "__repr__() (ocpmodels.models.equiformer_v2.layer_norm.equivariantrmsnormarraysphericalharmonics method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.__repr__"]], "__repr__() (ocpmodels.models.equiformer_v2.layer_norm.equivariantrmsnormarraysphericalharmonicsv2 method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.__repr__"]], "forward() (ocpmodels.models.equiformer_v2.layer_norm.equivariantdegreelayerscale method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.forward"]], "forward() (ocpmodels.models.equiformer_v2.layer_norm.equivariantlayernormarray method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.forward"]], "forward() (ocpmodels.models.equiformer_v2.layer_norm.equivariantlayernormarraysphericalharmonics method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.forward"]], "forward() (ocpmodels.models.equiformer_v2.layer_norm.equivariantrmsnormarraysphericalharmonics method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.forward"]], "forward() (ocpmodels.models.equiformer_v2.layer_norm.equivariantrmsnormarraysphericalharmonicsv2 method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.forward"]], "get_l_to_all_m_expand_index() (in module ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.get_l_to_all_m_expand_index"]], "get_normalization_layer() (in module ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.get_normalization_layer"]], "ocpmodels.models.equiformer_v2.layer_norm": [[40, "module-ocpmodels.models.equiformer_v2.layer_norm"]], "modulelistinfo (class in ocpmodels.models.equiformer_v2.module_list)": [[41, "ocpmodels.models.equiformer_v2.module_list.ModuleListInfo"]], "__repr__() (ocpmodels.models.equiformer_v2.module_list.modulelistinfo method)": [[41, "ocpmodels.models.equiformer_v2.module_list.ModuleListInfo.__repr__"]], "ocpmodels.models.equiformer_v2.module_list": [[41, "module-ocpmodels.models.equiformer_v2.module_list"]], "radialfunction (class in ocpmodels.models.equiformer_v2.radial_function)": [[42, "ocpmodels.models.equiformer_v2.radial_function.RadialFunction"]], "forward() (ocpmodels.models.equiformer_v2.radial_function.radialfunction method)": [[42, "ocpmodels.models.equiformer_v2.radial_function.RadialFunction.forward"]], "ocpmodels.models.equiformer_v2.radial_function": [[42, "module-ocpmodels.models.equiformer_v2.radial_function"]], "so2_convolution (class in ocpmodels.models.equiformer_v2.so2_ops)": [[43, "ocpmodels.models.equiformer_v2.so2_ops.SO2_Convolution"]], "so2_linear (class in ocpmodels.models.equiformer_v2.so2_ops)": [[43, "ocpmodels.models.equiformer_v2.so2_ops.SO2_Linear"]], "so2_m_convolution (class in ocpmodels.models.equiformer_v2.so2_ops)": [[43, "ocpmodels.models.equiformer_v2.so2_ops.SO2_m_Convolution"]], "forward() (ocpmodels.models.equiformer_v2.so2_ops.so2_convolution method)": [[43, "ocpmodels.models.equiformer_v2.so2_ops.SO2_Convolution.forward"]], "forward() (ocpmodels.models.equiformer_v2.so2_ops.so2_linear method)": [[43, "ocpmodels.models.equiformer_v2.so2_ops.SO2_Linear.forward"]], "forward() (ocpmodels.models.equiformer_v2.so2_ops.so2_m_convolution method)": [[43, "ocpmodels.models.equiformer_v2.so2_ops.SO2_m_Convolution.forward"]], "ocpmodels.models.equiformer_v2.so2_ops": [[43, "module-ocpmodels.models.equiformer_v2.so2_ops"]], "coefficientmappingmodule (class in ocpmodels.models.equiformer_v2.so3)": [[44, "ocpmodels.models.equiformer_v2.so3.CoefficientMappingModule"]], "rotationtowignerdmatrix() (ocpmodels.models.equiformer_v2.so3.so3_rotation method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Rotation.RotationToWignerDMatrix"]], "so3_embedding (class in ocpmodels.models.equiformer_v2.so3)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding"]], "so3_grid (class in ocpmodels.models.equiformer_v2.so3)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Grid"]], "so3_linear (class in ocpmodels.models.equiformer_v2.so3)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Linear"]], "so3_linearv2 (class in ocpmodels.models.equiformer_v2.so3)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_LinearV2"]], "so3_rotation (class in ocpmodels.models.equiformer_v2.so3)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Rotation"]], "__repr__() (ocpmodels.models.equiformer_v2.so3.coefficientmappingmodule method)": [[44, "ocpmodels.models.equiformer_v2.so3.CoefficientMappingModule.__repr__"]], "__repr__() (ocpmodels.models.equiformer_v2.so3.so3_linear method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Linear.__repr__"]], "__repr__() (ocpmodels.models.equiformer_v2.so3.so3_linearv2 method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_LinearV2.__repr__"]], "_expand_edge() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._expand_edge"]], "_from_grid() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._from_grid"]], "_grid_act() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._grid_act"]], "_l_primary() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._l_primary"]], "_m_primary() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._m_primary"]], "_reduce_edge() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._reduce_edge"]], "_rotate() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._rotate"]], "_rotate_inv() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._rotate_inv"]], "clone() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding.clone"]], "coefficient_idx() (ocpmodels.models.equiformer_v2.so3.coefficientmappingmodule method)": [[44, "ocpmodels.models.equiformer_v2.so3.CoefficientMappingModule.coefficient_idx"]], "complex_idx() (ocpmodels.models.equiformer_v2.so3.coefficientmappingmodule method)": [[44, "ocpmodels.models.equiformer_v2.so3.CoefficientMappingModule.complex_idx"]], "expand_edge() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding.expand_edge"]], "forward() (ocpmodels.models.equiformer_v2.so3.so3_linear method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Linear.forward"]], "forward() (ocpmodels.models.equiformer_v2.so3.so3_linearv2 method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_LinearV2.forward"]], "from_grid() (ocpmodels.models.equiformer_v2.so3.so3_grid method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Grid.from_grid"]], "get_from_grid_mat() (ocpmodels.models.equiformer_v2.so3.so3_grid method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Grid.get_from_grid_mat"]], "get_rotate_inv_rescale() (ocpmodels.models.equiformer_v2.so3.coefficientmappingmodule method)": [[44, "ocpmodels.models.equiformer_v2.so3.CoefficientMappingModule.get_rotate_inv_rescale"]], "get_to_grid_mat() (ocpmodels.models.equiformer_v2.so3.so3_grid method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Grid.get_to_grid_mat"]], "ocpmodels.models.equiformer_v2.so3": [[44, "module-ocpmodels.models.equiformer_v2.so3"]], "rotate() (ocpmodels.models.equiformer_v2.so3.so3_rotation method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Rotation.rotate"]], "rotate_inv() (ocpmodels.models.equiformer_v2.so3.so3_rotation method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Rotation.rotate_inv"]], "set_embedding() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding.set_embedding"]], "set_lmax_mmax() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding.set_lmax_mmax"]], "set_wigner() (ocpmodels.models.equiformer_v2.so3.so3_rotation method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Rotation.set_wigner"]], "to_grid() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding.to_grid"]], "to_grid() (ocpmodels.models.equiformer_v2.so3.so3_grid method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Grid.to_grid"]], "equiformerv2energytrainer (class in ocpmodels.models.equiformer_v2.trainers.energy_trainer)": [[45, "ocpmodels.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer"]], "load_extras() (ocpmodels.models.equiformer_v2.trainers.energy_trainer.equiformerv2energytrainer method)": [[45, "ocpmodels.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer.load_extras"]], "ocpmodels.models.equiformer_v2.trainers.energy_trainer": [[45, "module-ocpmodels.models.equiformer_v2.trainers.energy_trainer"]], "equiformerv2forcestrainer (class in ocpmodels.models.equiformer_v2.trainers.forces_trainer)": [[46, "ocpmodels.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer"]], "load_extras() (ocpmodels.models.equiformer_v2.trainers.forces_trainer.equiformerv2forcestrainer method)": [[46, "ocpmodels.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer.load_extras"]], "ocpmodels.models.equiformer_v2.trainers.forces_trainer": [[46, "module-ocpmodels.models.equiformer_v2.trainers.forces_trainer"]], "ocpmodels.models.equiformer_v2.trainers": [[47, "module-ocpmodels.models.equiformer_v2.trainers"]], "cosinelrlambda (class in ocpmodels.models.equiformer_v2.trainers.lr_scheduler)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda"]], "lrscheduler (class in ocpmodels.models.equiformer_v2.trainers.lr_scheduler)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.LRScheduler"]], "multisteplrlambda (class in ocpmodels.models.equiformer_v2.trainers.lr_scheduler)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda"]], "__call__() (ocpmodels.models.equiformer_v2.trainers.lr_scheduler.cosinelrlambda method)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.__call__"]], "__call__() (ocpmodels.models.equiformer_v2.trainers.lr_scheduler.multisteplrlambda method)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.__call__"]], "cosine_lr_lambda() (in module ocpmodels.models.equiformer_v2.trainers.lr_scheduler)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.cosine_lr_lambda"]], "filter_kwargs() (ocpmodels.models.equiformer_v2.trainers.lr_scheduler.lrscheduler method)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.filter_kwargs"]], "get_lr() (ocpmodels.models.equiformer_v2.trainers.lr_scheduler.lrscheduler method)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.get_lr"]], "multiply() (in module ocpmodels.models.equiformer_v2.trainers.lr_scheduler)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.multiply"]], "multistep_lr_lambda() (in module ocpmodels.models.equiformer_v2.trainers.lr_scheduler)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.multistep_lr_lambda"]], "ocpmodels.models.equiformer_v2.trainers.lr_scheduler": [[48, "module-ocpmodels.models.equiformer_v2.trainers.lr_scheduler"]], "step() (ocpmodels.models.equiformer_v2.trainers.lr_scheduler.lrscheduler method)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.step"]], "feedforwardnetwork (class in ocpmodels.models.equiformer_v2.transformer_block)": [[49, "ocpmodels.models.equiformer_v2.transformer_block.FeedForwardNetwork"]], "so2equivariantgraphattention (class in ocpmodels.models.equiformer_v2.transformer_block)": [[49, "ocpmodels.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention"]], "transblockv2 (class in ocpmodels.models.equiformer_v2.transformer_block)": [[49, "ocpmodels.models.equiformer_v2.transformer_block.TransBlockV2"]], "forward() (ocpmodels.models.equiformer_v2.transformer_block.feedforwardnetwork method)": [[49, "ocpmodels.models.equiformer_v2.transformer_block.FeedForwardNetwork.forward"]], "forward() (ocpmodels.models.equiformer_v2.transformer_block.so2equivariantgraphattention method)": [[49, "ocpmodels.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.forward"]], "forward() (ocpmodels.models.equiformer_v2.transformer_block.transblockv2 method)": [[49, "ocpmodels.models.equiformer_v2.transformer_block.TransBlockV2.forward"]], "ocpmodels.models.equiformer_v2.transformer_block": [[49, "module-ocpmodels.models.equiformer_v2.transformer_block"]], "_jd (in module ocpmodels.models.equiformer_v2.wigner)": [[50, "ocpmodels.models.equiformer_v2.wigner._Jd"]], "_z_rot_mat() (in module ocpmodels.models.equiformer_v2.wigner)": [[50, "ocpmodels.models.equiformer_v2.wigner._z_rot_mat"]], "ocpmodels.models.equiformer_v2.wigner": [[50, "module-ocpmodels.models.equiformer_v2.wigner"]], "wigner_d() (in module ocpmodels.models.equiformer_v2.wigner)": [[50, "ocpmodels.models.equiformer_v2.wigner.wigner_D"]], "edgeblock (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.EdgeBlock"]], "energyblock (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.EnergyBlock"]], "forceblock (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.ForceBlock"]], "layerblock (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.LayerBlock"]], "messageblock (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.MessageBlock"]], "so2block (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.SO2Block"]], "so2conv (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.SO2Conv"]], "_init_edge_rot_mat() (ocpmodels.models.escn.escn.escn method)": [[51, "ocpmodels.models.escn.escn.eSCN._init_edge_rot_mat"]], "escn (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.eSCN"]], "forward() (ocpmodels.models.escn.escn.edgeblock method)": [[51, "ocpmodels.models.escn.escn.EdgeBlock.forward"]], "forward() (ocpmodels.models.escn.escn.energyblock method)": [[51, "ocpmodels.models.escn.escn.EnergyBlock.forward"]], "forward() (ocpmodels.models.escn.escn.forceblock method)": [[51, "ocpmodels.models.escn.escn.ForceBlock.forward"]], "forward() (ocpmodels.models.escn.escn.layerblock method)": [[51, "ocpmodels.models.escn.escn.LayerBlock.forward"]], "forward() (ocpmodels.models.escn.escn.messageblock method)": [[51, "ocpmodels.models.escn.escn.MessageBlock.forward"]], "forward() (ocpmodels.models.escn.escn.so2block method)": [[51, "ocpmodels.models.escn.escn.SO2Block.forward"]], "forward() (ocpmodels.models.escn.escn.so2conv method)": [[51, "ocpmodels.models.escn.escn.SO2Conv.forward"]], "forward() (ocpmodels.models.escn.escn.escn method)": [[51, "ocpmodels.models.escn.escn.eSCN.forward"]], "num_params (ocpmodels.models.escn.escn.escn property)": [[51, "ocpmodels.models.escn.escn.eSCN.num_params"]], "ocpmodels.models.escn.escn": [[51, "module-ocpmodels.models.escn.escn"]], "_init_edge_rot_mat() (ocpmodels.models.escn.escn method)": [[52, "ocpmodels.models.escn.eSCN._init_edge_rot_mat"]], "escn (class in ocpmodels.models.escn)": [[52, "ocpmodels.models.escn.eSCN"]], "forward() (ocpmodels.models.escn.escn method)": [[52, "ocpmodels.models.escn.eSCN.forward"]], "num_params (ocpmodels.models.escn.escn property)": [[52, "ocpmodels.models.escn.eSCN.num_params"]], "ocpmodels.models.escn": [[52, "module-ocpmodels.models.escn"]], "coefficientmapping (class in ocpmodels.models.escn.so3)": [[53, "ocpmodels.models.escn.so3.CoefficientMapping"]], "rotationtowignerdmatrix() (ocpmodels.models.escn.so3.so3_rotation method)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation.RotationToWignerDMatrix"]], "so3_embedding (class in ocpmodels.models.escn.so3)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding"]], "so3_grid (class in ocpmodels.models.escn.so3)": [[53, "ocpmodels.models.escn.so3.SO3_Grid"]], "so3_rotation (class in ocpmodels.models.escn.so3)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation"]], "_jd (in module ocpmodels.models.escn.so3)": [[53, "ocpmodels.models.escn.so3._Jd"]], "_expand_edge() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._expand_edge"]], "_from_grid() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._from_grid"]], "_grid_act() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._grid_act"]], "_initialize() (ocpmodels.models.escn.so3.so3_grid method)": [[53, "ocpmodels.models.escn.so3.SO3_Grid._initialize"]], "_l_primary() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._l_primary"]], "_m_primary() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._m_primary"]], "_reduce_edge() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._reduce_edge"]], "_rotate() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._rotate"]], "_rotate_inv() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._rotate_inv"]], "_z_rot_mat() (ocpmodels.models.escn.so3.so3_rotation method)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation._z_rot_mat"]], "clone() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding.clone"]], "coefficient_idx() (ocpmodels.models.escn.so3.coefficientmapping method)": [[53, "ocpmodels.models.escn.so3.CoefficientMapping.coefficient_idx"]], "complex_idx() (ocpmodels.models.escn.so3.coefficientmapping method)": [[53, "ocpmodels.models.escn.so3.CoefficientMapping.complex_idx"]], "expand_edge() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding.expand_edge"]], "from_grid() (ocpmodels.models.escn.so3.so3_grid method)": [[53, "ocpmodels.models.escn.so3.SO3_Grid.from_grid"]], "get_from_grid_mat() (ocpmodels.models.escn.so3.so3_grid method)": [[53, "ocpmodels.models.escn.so3.SO3_Grid.get_from_grid_mat"]], "get_to_grid_mat() (ocpmodels.models.escn.so3.so3_grid method)": [[53, "ocpmodels.models.escn.so3.SO3_Grid.get_to_grid_mat"]], "ocpmodels.models.escn.so3": [[53, "module-ocpmodels.models.escn.so3"]], "rotate() (ocpmodels.models.escn.so3.so3_rotation method)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation.rotate"]], "rotate_inv() (ocpmodels.models.escn.so3.so3_rotation method)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation.rotate_inv"]], "set_embedding() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding.set_embedding"]], "set_lmax() (ocpmodels.models.escn.so3.so3_rotation method)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation.set_lmax"]], "set_lmax_mmax() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding.set_lmax_mmax"]], "to_grid() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding.to_grid"]], "to_grid() (ocpmodels.models.escn.so3.so3_grid method)": [[53, "ocpmodels.models.escn.so3.SO3_Grid.to_grid"]], "wigner_d() (ocpmodels.models.escn.so3.so3_rotation method)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation.wigner_D"]], "gemnett (class in ocpmodels.models.gemnet.gemnet)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT"]], "forward() (ocpmodels.models.gemnet.gemnet.gemnett method)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.forward"]], "generate_interaction_graph() (ocpmodels.models.gemnet.gemnet.gemnett method)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.generate_interaction_graph"]], "get_triplets() (ocpmodels.models.gemnet.gemnet.gemnett method)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.get_triplets"]], "num_params (ocpmodels.models.gemnet.gemnet.gemnett property)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.num_params"]], "ocpmodels.models.gemnet.gemnet": [[54, "module-ocpmodels.models.gemnet.gemnet"]], "reorder_symmetric_edges() (ocpmodels.models.gemnet.gemnet.gemnett method)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.reorder_symmetric_edges"]], "select_edges() (ocpmodels.models.gemnet.gemnet.gemnett method)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.select_edges"]], "select_symmetric_edges() (ocpmodels.models.gemnet.gemnet.gemnett method)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.select_symmetric_edges"]], "gemnett (class in ocpmodels.models.gemnet)": [[55, "ocpmodels.models.gemnet.GemNetT"]], "forward() (ocpmodels.models.gemnet.gemnett method)": [[55, "ocpmodels.models.gemnet.GemNetT.forward"]], "generate_interaction_graph() (ocpmodels.models.gemnet.gemnett method)": [[55, "ocpmodels.models.gemnet.GemNetT.generate_interaction_graph"]], "get_triplets() (ocpmodels.models.gemnet.gemnett method)": [[55, "ocpmodels.models.gemnet.GemNetT.get_triplets"]], "num_params (ocpmodels.models.gemnet.gemnett property)": [[55, "ocpmodels.models.gemnet.GemNetT.num_params"]], "ocpmodels.models.gemnet": [[55, "module-ocpmodels.models.gemnet"]], "reorder_symmetric_edges() (ocpmodels.models.gemnet.gemnett method)": [[55, "ocpmodels.models.gemnet.GemNetT.reorder_symmetric_edges"]], "select_edges() (ocpmodels.models.gemnet.gemnett method)": [[55, "ocpmodels.models.gemnet.GemNetT.select_edges"]], "select_symmetric_edges() (ocpmodels.models.gemnet.gemnett method)": [[55, "ocpmodels.models.gemnet.GemNetT.select_symmetric_edges"]], "_standardize() (in module ocpmodels.models.gemnet.initializers)": [[56, "ocpmodels.models.gemnet.initializers._standardize"]], "he_orthogonal_init() (in module ocpmodels.models.gemnet.initializers)": [[56, "ocpmodels.models.gemnet.initializers.he_orthogonal_init"]], "ocpmodels.models.gemnet.initializers": [[56, "module-ocpmodels.models.gemnet.initializers"]], "atomupdateblock (class in ocpmodels.models.gemnet.layers.atom_update_block)": [[57, "ocpmodels.models.gemnet.layers.atom_update_block.AtomUpdateBlock"]], "outputblock (class in ocpmodels.models.gemnet.layers.atom_update_block)": [[57, "ocpmodels.models.gemnet.layers.atom_update_block.OutputBlock"]], "forward() (ocpmodels.models.gemnet.layers.atom_update_block.atomupdateblock method)": [[57, "ocpmodels.models.gemnet.layers.atom_update_block.AtomUpdateBlock.forward"]], "forward() (ocpmodels.models.gemnet.layers.atom_update_block.outputblock method)": [[57, "ocpmodels.models.gemnet.layers.atom_update_block.OutputBlock.forward"]], "get_mlp() (ocpmodels.models.gemnet.layers.atom_update_block.atomupdateblock method)": [[57, "ocpmodels.models.gemnet.layers.atom_update_block.AtomUpdateBlock.get_mlp"]], "ocpmodels.models.gemnet.layers.atom_update_block": [[57, "module-ocpmodels.models.gemnet.layers.atom_update_block"]], "reset_parameters() (ocpmodels.models.gemnet.layers.atom_update_block.outputblock method)": [[57, "ocpmodels.models.gemnet.layers.atom_update_block.OutputBlock.reset_parameters"]], "dense (class in ocpmodels.models.gemnet.layers.base_layers)": [[58, "ocpmodels.models.gemnet.layers.base_layers.Dense"]], "residuallayer (class in ocpmodels.models.gemnet.layers.base_layers)": [[58, "ocpmodels.models.gemnet.layers.base_layers.ResidualLayer"]], "scaledsilu (class in ocpmodels.models.gemnet.layers.base_layers)": [[58, "ocpmodels.models.gemnet.layers.base_layers.ScaledSiLU"]], "siqu (class in ocpmodels.models.gemnet.layers.base_layers)": [[58, "ocpmodels.models.gemnet.layers.base_layers.SiQU"]], "forward() (ocpmodels.models.gemnet.layers.base_layers.dense method)": [[58, "ocpmodels.models.gemnet.layers.base_layers.Dense.forward"]], "forward() (ocpmodels.models.gemnet.layers.base_layers.residuallayer method)": [[58, "ocpmodels.models.gemnet.layers.base_layers.ResidualLayer.forward"]], "forward() (ocpmodels.models.gemnet.layers.base_layers.scaledsilu method)": [[58, "ocpmodels.models.gemnet.layers.base_layers.ScaledSiLU.forward"]], "forward() (ocpmodels.models.gemnet.layers.base_layers.siqu method)": [[58, "ocpmodels.models.gemnet.layers.base_layers.SiQU.forward"]], "ocpmodels.models.gemnet.layers.base_layers": [[58, "module-ocpmodels.models.gemnet.layers.base_layers"]], "reset_parameters() (ocpmodels.models.gemnet.layers.base_layers.dense method)": [[58, "ocpmodels.models.gemnet.layers.base_layers.Dense.reset_parameters"]], "jn() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.Jn"]], "jn_zeros() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.Jn_zeros"]], "associated_legendre_polynomials() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.associated_legendre_polynomials"]], "bessel_basis() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.bessel_basis"]], "ocpmodels.models.gemnet.layers.basis_utils": [[59, "module-ocpmodels.models.gemnet.layers.basis_utils"]], "real_sph_harm() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.real_sph_harm"]], "sph_harm_prefactor() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.sph_harm_prefactor"]], "spherical_bessel_formulas() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.spherical_bessel_formulas"]], "efficientinteractionbilinear (class in ocpmodels.models.gemnet.layers.efficient)": [[60, "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionBilinear"]], "efficientinteractiondownprojection (class in ocpmodels.models.gemnet.layers.efficient)": [[60, "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionDownProjection"]], "forward() (ocpmodels.models.gemnet.layers.efficient.efficientinteractionbilinear method)": [[60, "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionBilinear.forward"]], "forward() (ocpmodels.models.gemnet.layers.efficient.efficientinteractiondownprojection method)": [[60, "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionDownProjection.forward"]], "ocpmodels.models.gemnet.layers.efficient": [[60, "module-ocpmodels.models.gemnet.layers.efficient"]], "reset_parameters() (ocpmodels.models.gemnet.layers.efficient.efficientinteractionbilinear method)": [[60, "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionBilinear.reset_parameters"]], "reset_parameters() (ocpmodels.models.gemnet.layers.efficient.efficientinteractiondownprojection method)": [[60, "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionDownProjection.reset_parameters"]], "atomembedding (class in ocpmodels.models.gemnet.layers.embedding_block)": [[61, "ocpmodels.models.gemnet.layers.embedding_block.AtomEmbedding"]], "edgeembedding (class in ocpmodels.models.gemnet.layers.embedding_block)": [[61, "ocpmodels.models.gemnet.layers.embedding_block.EdgeEmbedding"]], "forward() (ocpmodels.models.gemnet.layers.embedding_block.atomembedding method)": [[61, "ocpmodels.models.gemnet.layers.embedding_block.AtomEmbedding.forward"]], "forward() (ocpmodels.models.gemnet.layers.embedding_block.edgeembedding method)": [[61, "ocpmodels.models.gemnet.layers.embedding_block.EdgeEmbedding.forward"]], "ocpmodels.models.gemnet.layers.embedding_block": [[61, "module-ocpmodels.models.gemnet.layers.embedding_block"]], "ocpmodels.models.gemnet.layers": [[62, "module-ocpmodels.models.gemnet.layers"]], "interactionblocktripletsonly (class in ocpmodels.models.gemnet.layers.interaction_block)": [[63, "ocpmodels.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly"]], "tripletinteraction (class in ocpmodels.models.gemnet.layers.interaction_block)": [[63, "ocpmodels.models.gemnet.layers.interaction_block.TripletInteraction"]], "forward() (ocpmodels.models.gemnet.layers.interaction_block.interactionblocktripletsonly method)": [[63, "ocpmodels.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.forward"]], "forward() (ocpmodels.models.gemnet.layers.interaction_block.tripletinteraction method)": [[63, "ocpmodels.models.gemnet.layers.interaction_block.TripletInteraction.forward"]], "ocpmodels.models.gemnet.layers.interaction_block": [[63, "module-ocpmodels.models.gemnet.layers.interaction_block"]], "bernsteinbasis (class in ocpmodels.models.gemnet.layers.radial_basis)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.BernsteinBasis"]], "exponentialenvelope (class in ocpmodels.models.gemnet.layers.radial_basis)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.ExponentialEnvelope"]], "polynomialenvelope (class in ocpmodels.models.gemnet.layers.radial_basis)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.PolynomialEnvelope"]], "radialbasis (class in ocpmodels.models.gemnet.layers.radial_basis)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.RadialBasis"]], "sphericalbesselbasis (class in ocpmodels.models.gemnet.layers.radial_basis)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.SphericalBesselBasis"]], "forward() (ocpmodels.models.gemnet.layers.radial_basis.bernsteinbasis method)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.BernsteinBasis.forward"]], "forward() (ocpmodels.models.gemnet.layers.radial_basis.exponentialenvelope method)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.ExponentialEnvelope.forward"]], "forward() (ocpmodels.models.gemnet.layers.radial_basis.polynomialenvelope method)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.PolynomialEnvelope.forward"]], "forward() (ocpmodels.models.gemnet.layers.radial_basis.radialbasis method)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.RadialBasis.forward"]], "forward() (ocpmodels.models.gemnet.layers.radial_basis.sphericalbesselbasis method)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.SphericalBesselBasis.forward"]], "ocpmodels.models.gemnet.layers.radial_basis": [[64, "module-ocpmodels.models.gemnet.layers.radial_basis"]], "circularbasislayer (class in ocpmodels.models.gemnet.layers.spherical_basis)": [[65, "ocpmodels.models.gemnet.layers.spherical_basis.CircularBasisLayer"]], "forward() (ocpmodels.models.gemnet.layers.spherical_basis.circularbasislayer method)": [[65, "ocpmodels.models.gemnet.layers.spherical_basis.CircularBasisLayer.forward"]], "ocpmodels.models.gemnet.layers.spherical_basis": [[65, "module-ocpmodels.models.gemnet.layers.spherical_basis"]], "calculate_interatomic_vectors() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.calculate_interatomic_vectors"]], "inner_product_normalized() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.inner_product_normalized"]], "mask_neighbors() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.mask_neighbors"]], "ocpmodels.models.gemnet.utils": [[66, "module-ocpmodels.models.gemnet.utils"]], "ragged_range() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.ragged_range"]], "read_json() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.read_json"]], "read_value_json() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.read_value_json"]], "repeat_blocks() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.repeat_blocks"]], "update_json() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.update_json"]], "write_json() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.write_json"]], "graphparallelgemnett (class in ocpmodels.models.gemnet_gp.gemnet)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT"]], "forward() (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett method)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.forward"]], "generate_interaction_graph() (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett method)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.generate_interaction_graph"]], "get_triplets() (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett method)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.get_triplets"]], "num_params (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett property)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.num_params"]], "ocpmodels.models.gemnet_gp.gemnet": [[67, "module-ocpmodels.models.gemnet_gp.gemnet"]], "reorder_symmetric_edges() (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett method)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.reorder_symmetric_edges"]], "select_edges() (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett method)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.select_edges"]], "select_symmetric_edges() (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett method)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.select_symmetric_edges"]], "graphparallelgemnett (class in ocpmodels.models.gemnet_gp)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT"]], "forward() (ocpmodels.models.gemnet_gp.graphparallelgemnett method)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.forward"]], "generate_interaction_graph() (ocpmodels.models.gemnet_gp.graphparallelgemnett method)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.generate_interaction_graph"]], "get_triplets() (ocpmodels.models.gemnet_gp.graphparallelgemnett method)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.get_triplets"]], "num_params (ocpmodels.models.gemnet_gp.graphparallelgemnett property)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.num_params"]], "ocpmodels.models.gemnet_gp": [[68, "module-ocpmodels.models.gemnet_gp"]], "reorder_symmetric_edges() (ocpmodels.models.gemnet_gp.graphparallelgemnett method)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.reorder_symmetric_edges"]], "select_edges() (ocpmodels.models.gemnet_gp.graphparallelgemnett method)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.select_edges"]], "select_symmetric_edges() (ocpmodels.models.gemnet_gp.graphparallelgemnett method)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.select_symmetric_edges"]], "_standardize() (in module ocpmodels.models.gemnet_gp.initializers)": [[69, "ocpmodels.models.gemnet_gp.initializers._standardize"]], "he_orthogonal_init() (in module ocpmodels.models.gemnet_gp.initializers)": [[69, "ocpmodels.models.gemnet_gp.initializers.he_orthogonal_init"]], "ocpmodels.models.gemnet_gp.initializers": [[69, "module-ocpmodels.models.gemnet_gp.initializers"]], "atomupdateblock (class in ocpmodels.models.gemnet_gp.layers.atom_update_block)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock"]], "outputblock (class in ocpmodels.models.gemnet_gp.layers.atom_update_block)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock"]], "dense_rbf_f (ocpmodels.models.gemnet_gp.layers.atom_update_block.outputblock attribute)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock.dense_rbf_F"]], "forward() (ocpmodels.models.gemnet_gp.layers.atom_update_block.atomupdateblock method)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.forward"]], "forward() (ocpmodels.models.gemnet_gp.layers.atom_update_block.outputblock method)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock.forward"]], "get_mlp() (ocpmodels.models.gemnet_gp.layers.atom_update_block.atomupdateblock method)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.get_mlp"]], "ocpmodels.models.gemnet_gp.layers.atom_update_block": [[70, "module-ocpmodels.models.gemnet_gp.layers.atom_update_block"]], "out_energy (ocpmodels.models.gemnet_gp.layers.atom_update_block.outputblock attribute)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_energy"]], "out_forces (ocpmodels.models.gemnet_gp.layers.atom_update_block.outputblock attribute)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_forces"]], "reset_parameters() (ocpmodels.models.gemnet_gp.layers.atom_update_block.outputblock method)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock.reset_parameters"]], "scatter_sum() (in module ocpmodels.models.gemnet_gp.layers.atom_update_block)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.scatter_sum"]], "dense (class in ocpmodels.models.gemnet_gp.layers.base_layers)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.Dense"]], "residuallayer (class in ocpmodels.models.gemnet_gp.layers.base_layers)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.ResidualLayer"]], "scaledsilu (class in ocpmodels.models.gemnet_gp.layers.base_layers)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.ScaledSiLU"]], "siqu (class in ocpmodels.models.gemnet_gp.layers.base_layers)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.SiQU"]], "forward() (ocpmodels.models.gemnet_gp.layers.base_layers.dense method)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.Dense.forward"]], "forward() (ocpmodels.models.gemnet_gp.layers.base_layers.residuallayer method)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.ResidualLayer.forward"]], "forward() (ocpmodels.models.gemnet_gp.layers.base_layers.scaledsilu method)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.ScaledSiLU.forward"]], "forward() (ocpmodels.models.gemnet_gp.layers.base_layers.siqu method)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.SiQU.forward"]], "ocpmodels.models.gemnet_gp.layers.base_layers": [[71, "module-ocpmodels.models.gemnet_gp.layers.base_layers"]], "reset_parameters() (ocpmodels.models.gemnet_gp.layers.base_layers.dense method)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.Dense.reset_parameters"]], "jn() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.Jn"]], "jn_zeros() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.Jn_zeros"]], "associated_legendre_polynomials() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.associated_legendre_polynomials"]], "bessel_basis() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.bessel_basis"]], "ocpmodels.models.gemnet_gp.layers.basis_utils": [[72, "module-ocpmodels.models.gemnet_gp.layers.basis_utils"]], "real_sph_harm() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.real_sph_harm"]], "sph_harm_prefactor() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.sph_harm_prefactor"]], "spherical_bessel_formulas() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.spherical_bessel_formulas"]], "efficientinteractionbilinear (class in ocpmodels.models.gemnet_gp.layers.efficient)": [[73, "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear"]], "efficientinteractiondownprojection (class in ocpmodels.models.gemnet_gp.layers.efficient)": [[73, "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection"]], "forward() (ocpmodels.models.gemnet_gp.layers.efficient.efficientinteractionbilinear method)": [[73, "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.forward"]], "forward() (ocpmodels.models.gemnet_gp.layers.efficient.efficientinteractiondownprojection method)": [[73, "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.forward"]], "ocpmodels.models.gemnet_gp.layers.efficient": [[73, "module-ocpmodels.models.gemnet_gp.layers.efficient"]], "reset_parameters() (ocpmodels.models.gemnet_gp.layers.efficient.efficientinteractionbilinear method)": [[73, "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.reset_parameters"]], "reset_parameters() (ocpmodels.models.gemnet_gp.layers.efficient.efficientinteractiondownprojection method)": [[73, "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.reset_parameters"]], "atomembedding (class in ocpmodels.models.gemnet_gp.layers.embedding_block)": [[74, "ocpmodels.models.gemnet_gp.layers.embedding_block.AtomEmbedding"]], "edgeembedding (class in ocpmodels.models.gemnet_gp.layers.embedding_block)": [[74, "ocpmodels.models.gemnet_gp.layers.embedding_block.EdgeEmbedding"]], "forward() (ocpmodels.models.gemnet_gp.layers.embedding_block.atomembedding method)": [[74, "ocpmodels.models.gemnet_gp.layers.embedding_block.AtomEmbedding.forward"]], "forward() (ocpmodels.models.gemnet_gp.layers.embedding_block.edgeembedding method)": [[74, "ocpmodels.models.gemnet_gp.layers.embedding_block.EdgeEmbedding.forward"]], "ocpmodels.models.gemnet_gp.layers.embedding_block": [[74, "module-ocpmodels.models.gemnet_gp.layers.embedding_block"]], "ocpmodels.models.gemnet_gp.layers": [[75, "module-ocpmodels.models.gemnet_gp.layers"]], "interactionblocktripletsonly (class in ocpmodels.models.gemnet_gp.layers.interaction_block)": [[76, "ocpmodels.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly"]], "tripletinteraction (class in ocpmodels.models.gemnet_gp.layers.interaction_block)": [[76, "ocpmodels.models.gemnet_gp.layers.interaction_block.TripletInteraction"]], "forward() (ocpmodels.models.gemnet_gp.layers.interaction_block.interactionblocktripletsonly method)": [[76, "ocpmodels.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.forward"]], "forward() (ocpmodels.models.gemnet_gp.layers.interaction_block.tripletinteraction method)": [[76, "ocpmodels.models.gemnet_gp.layers.interaction_block.TripletInteraction.forward"]], "ocpmodels.models.gemnet_gp.layers.interaction_block": [[76, "module-ocpmodels.models.gemnet_gp.layers.interaction_block"]], "bernsteinbasis (class in ocpmodels.models.gemnet_gp.layers.radial_basis)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.BernsteinBasis"]], "exponentialenvelope (class in ocpmodels.models.gemnet_gp.layers.radial_basis)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope"]], "polynomialenvelope (class in ocpmodels.models.gemnet_gp.layers.radial_basis)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope"]], "radialbasis (class in ocpmodels.models.gemnet_gp.layers.radial_basis)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.RadialBasis"]], "sphericalbesselbasis (class in ocpmodels.models.gemnet_gp.layers.radial_basis)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis"]], "forward() (ocpmodels.models.gemnet_gp.layers.radial_basis.bernsteinbasis method)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.BernsteinBasis.forward"]], "forward() (ocpmodels.models.gemnet_gp.layers.radial_basis.exponentialenvelope method)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope.forward"]], "forward() (ocpmodels.models.gemnet_gp.layers.radial_basis.polynomialenvelope method)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.forward"]], "forward() (ocpmodels.models.gemnet_gp.layers.radial_basis.radialbasis method)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.RadialBasis.forward"]], "forward() (ocpmodels.models.gemnet_gp.layers.radial_basis.sphericalbesselbasis method)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.forward"]], "ocpmodels.models.gemnet_gp.layers.radial_basis": [[77, "module-ocpmodels.models.gemnet_gp.layers.radial_basis"]], "circularbasislayer (class in ocpmodels.models.gemnet_gp.layers.spherical_basis)": [[78, "ocpmodels.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer"]], "forward() (ocpmodels.models.gemnet_gp.layers.spherical_basis.circularbasislayer method)": [[78, "ocpmodels.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.forward"]], "ocpmodels.models.gemnet_gp.layers.spherical_basis": [[78, "module-ocpmodels.models.gemnet_gp.layers.spherical_basis"]], "calculate_interatomic_vectors() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.calculate_interatomic_vectors"]], "inner_product_normalized() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.inner_product_normalized"]], "mask_neighbors() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.mask_neighbors"]], "ocpmodels.models.gemnet_gp.utils": [[79, "module-ocpmodels.models.gemnet_gp.utils"]], "ragged_range() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.ragged_range"]], "read_json() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.read_json"]], "read_value_json() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.read_value_json"]], "repeat_blocks() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.repeat_blocks"]], "update_json() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.update_json"]], "write_json() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.write_json"]], "gemnetoc (class in ocpmodels.models.gemnet_oc.gemnet_oc)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC"]], "calculate_quad_angles() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.calculate_quad_angles"]], "forward() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.forward"]], "generate_graph_dict() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.generate_graph_dict"]], "get_bases() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.get_bases"]], "get_graphs_and_indices() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.get_graphs_and_indices"]], "init_basis_functions() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.init_basis_functions"]], "init_shared_basis_layers() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.init_shared_basis_layers"]], "num_params (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc property)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.num_params"]], "ocpmodels.models.gemnet_oc.gemnet_oc": [[80, "module-ocpmodels.models.gemnet_oc.gemnet_oc"]], "select_symmetric_edges() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.select_symmetric_edges"]], "set_cutoffs() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.set_cutoffs"]], "set_max_neighbors() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.set_max_neighbors"]], "subselect_edges() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_edges"]], "subselect_graph() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_graph"]], "symmetrize_edges() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.symmetrize_edges"]], "gemnetoc (class in ocpmodels.models.gemnet_oc)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC"]], "calculate_quad_angles() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.calculate_quad_angles"]], "forward() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.forward"]], "generate_graph_dict() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.generate_graph_dict"]], "get_bases() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.get_bases"]], "get_graphs_and_indices() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.get_graphs_and_indices"]], "init_basis_functions() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.init_basis_functions"]], "init_shared_basis_layers() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.init_shared_basis_layers"]], "num_params (ocpmodels.models.gemnet_oc.gemnetoc property)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.num_params"]], "ocpmodels.models.gemnet_oc": [[81, "module-ocpmodels.models.gemnet_oc"]], "select_symmetric_edges() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.select_symmetric_edges"]], "set_cutoffs() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.set_cutoffs"]], "set_max_neighbors() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.set_max_neighbors"]], "subselect_edges() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.subselect_edges"]], "subselect_graph() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.subselect_graph"]], "symmetrize_edges() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.symmetrize_edges"]], "_standardize() (in module ocpmodels.models.gemnet_oc.initializers)": [[82, "ocpmodels.models.gemnet_oc.initializers._standardize"]], "get_initializer() (in module ocpmodels.models.gemnet_oc.initializers)": [[82, "ocpmodels.models.gemnet_oc.initializers.get_initializer"]], "grid_init() (in module ocpmodels.models.gemnet_oc.initializers)": [[82, "ocpmodels.models.gemnet_oc.initializers.grid_init"]], "he_orthogonal_init() (in module ocpmodels.models.gemnet_oc.initializers)": [[82, "ocpmodels.models.gemnet_oc.initializers.he_orthogonal_init"]], "log_grid_init() (in module ocpmodels.models.gemnet_oc.initializers)": [[82, "ocpmodels.models.gemnet_oc.initializers.log_grid_init"]], "ocpmodels.models.gemnet_oc.initializers": [[82, "module-ocpmodels.models.gemnet_oc.initializers"]], "get_mixed_triplets() (in module ocpmodels.models.gemnet_oc.interaction_indices)": [[83, "ocpmodels.models.gemnet_oc.interaction_indices.get_mixed_triplets"]], "get_quadruplets() (in module ocpmodels.models.gemnet_oc.interaction_indices)": [[83, "ocpmodels.models.gemnet_oc.interaction_indices.get_quadruplets"]], "get_triplets() (in module ocpmodels.models.gemnet_oc.interaction_indices)": [[83, "ocpmodels.models.gemnet_oc.interaction_indices.get_triplets"]], "ocpmodels.models.gemnet_oc.interaction_indices": [[83, "module-ocpmodels.models.gemnet_oc.interaction_indices"]], "atomupdateblock (class in ocpmodels.models.gemnet_oc.layers.atom_update_block)": [[84, "ocpmodels.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock"]], "outputblock (class in ocpmodels.models.gemnet_oc.layers.atom_update_block)": [[84, "ocpmodels.models.gemnet_oc.layers.atom_update_block.OutputBlock"]], "forward() (ocpmodels.models.gemnet_oc.layers.atom_update_block.atomupdateblock method)": [[84, "ocpmodels.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.atom_update_block.outputblock method)": [[84, "ocpmodels.models.gemnet_oc.layers.atom_update_block.OutputBlock.forward"]], "get_mlp() (ocpmodels.models.gemnet_oc.layers.atom_update_block.atomupdateblock method)": [[84, "ocpmodels.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.get_mlp"]], "ocpmodels.models.gemnet_oc.layers.atom_update_block": [[84, "module-ocpmodels.models.gemnet_oc.layers.atom_update_block"]], "dense (class in ocpmodels.models.gemnet_oc.layers.base_layers)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.Dense"]], "residuallayer (class in ocpmodels.models.gemnet_oc.layers.base_layers)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.ResidualLayer"]], "scaledsilu (class in ocpmodels.models.gemnet_oc.layers.base_layers)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.ScaledSiLU"]], "forward() (ocpmodels.models.gemnet_oc.layers.base_layers.dense method)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.Dense.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.base_layers.residuallayer method)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.ResidualLayer.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.base_layers.scaledsilu method)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.ScaledSiLU.forward"]], "ocpmodels.models.gemnet_oc.layers.base_layers": [[85, "module-ocpmodels.models.gemnet_oc.layers.base_layers"]], "reset_parameters() (ocpmodels.models.gemnet_oc.layers.base_layers.dense method)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.Dense.reset_parameters"]], "jn() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.Jn"]], "jn_zeros() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.Jn_zeros"]], "associated_legendre_polynomials() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.associated_legendre_polynomials"]], "bessel_basis() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.bessel_basis"]], "get_sph_harm_basis() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.get_sph_harm_basis"]], "ocpmodels.models.gemnet_oc.layers.basis_utils": [[86, "module-ocpmodels.models.gemnet_oc.layers.basis_utils"]], "real_sph_harm() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.real_sph_harm"]], "sph_harm_prefactor() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.sph_harm_prefactor"]], "spherical_bessel_formulas() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.spherical_bessel_formulas"]], "basisembedding (class in ocpmodels.models.gemnet_oc.layers.efficient)": [[87, "ocpmodels.models.gemnet_oc.layers.efficient.BasisEmbedding"]], "efficientinteractionbilinear (class in ocpmodels.models.gemnet_oc.layers.efficient)": [[87, "ocpmodels.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear"]], "forward() (ocpmodels.models.gemnet_oc.layers.efficient.basisembedding method)": [[87, "ocpmodels.models.gemnet_oc.layers.efficient.BasisEmbedding.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.efficient.efficientinteractionbilinear method)": [[87, "ocpmodels.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.forward"]], "ocpmodels.models.gemnet_oc.layers.efficient": [[87, "module-ocpmodels.models.gemnet_oc.layers.efficient"]], "reset_parameters() (ocpmodels.models.gemnet_oc.layers.efficient.basisembedding method)": [[87, "ocpmodels.models.gemnet_oc.layers.efficient.BasisEmbedding.reset_parameters"]], "weight (ocpmodels.models.gemnet_oc.layers.efficient.basisembedding attribute)": [[87, "ocpmodels.models.gemnet_oc.layers.efficient.BasisEmbedding.weight"]], "atomembedding (class in ocpmodels.models.gemnet_oc.layers.embedding_block)": [[88, "ocpmodels.models.gemnet_oc.layers.embedding_block.AtomEmbedding"]], "edgeembedding (class in ocpmodels.models.gemnet_oc.layers.embedding_block)": [[88, "ocpmodels.models.gemnet_oc.layers.embedding_block.EdgeEmbedding"]], "forward() (ocpmodels.models.gemnet_oc.layers.embedding_block.atomembedding method)": [[88, "ocpmodels.models.gemnet_oc.layers.embedding_block.AtomEmbedding.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.embedding_block.edgeembedding method)": [[88, "ocpmodels.models.gemnet_oc.layers.embedding_block.EdgeEmbedding.forward"]], "ocpmodels.models.gemnet_oc.layers.embedding_block": [[88, "module-ocpmodels.models.gemnet_oc.layers.embedding_block"]], "forcescaler (class in ocpmodels.models.gemnet_oc.layers.force_scaler)": [[89, "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler"]], "calc_forces() (ocpmodels.models.gemnet_oc.layers.force_scaler.forcescaler method)": [[89, "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces"]], "calc_forces_and_update() (ocpmodels.models.gemnet_oc.layers.force_scaler.forcescaler method)": [[89, "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces_and_update"]], "ocpmodels.models.gemnet_oc.layers.force_scaler": [[89, "module-ocpmodels.models.gemnet_oc.layers.force_scaler"]], "scale() (ocpmodels.models.gemnet_oc.layers.force_scaler.forcescaler method)": [[89, "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler.scale"]], "unscale() (ocpmodels.models.gemnet_oc.layers.force_scaler.forcescaler method)": [[89, "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler.unscale"]], "update() (ocpmodels.models.gemnet_oc.layers.force_scaler.forcescaler method)": [[89, "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler.update"]], "ocpmodels.models.gemnet_oc.layers": [[90, "module-ocpmodels.models.gemnet_oc.layers"]], "interactionblock (class in ocpmodels.models.gemnet_oc.layers.interaction_block)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.InteractionBlock"]], "pairinteraction (class in ocpmodels.models.gemnet_oc.layers.interaction_block)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.PairInteraction"]], "quadrupletinteraction (class in ocpmodels.models.gemnet_oc.layers.interaction_block)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction"]], "tripletinteraction (class in ocpmodels.models.gemnet_oc.layers.interaction_block)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.TripletInteraction"]], "forward() (ocpmodels.models.gemnet_oc.layers.interaction_block.interactionblock method)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.InteractionBlock.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.interaction_block.pairinteraction method)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.PairInteraction.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.interaction_block.quadrupletinteraction method)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.interaction_block.tripletinteraction method)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.TripletInteraction.forward"]], "ocpmodels.models.gemnet_oc.layers.interaction_block": [[91, "module-ocpmodels.models.gemnet_oc.layers.interaction_block"]], "bernsteinbasis (class in ocpmodels.models.gemnet_oc.layers.radial_basis)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.BernsteinBasis"]], "exponentialenvelope (class in ocpmodels.models.gemnet_oc.layers.radial_basis)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope"]], "gaussianbasis (class in ocpmodels.models.gemnet_oc.layers.radial_basis)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.GaussianBasis"]], "polynomialenvelope (class in ocpmodels.models.gemnet_oc.layers.radial_basis)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope"]], "radialbasis (class in ocpmodels.models.gemnet_oc.layers.radial_basis)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.RadialBasis"]], "sphericalbesselbasis (class in ocpmodels.models.gemnet_oc.layers.radial_basis)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis"]], "forward() (ocpmodels.models.gemnet_oc.layers.radial_basis.bernsteinbasis method)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.BernsteinBasis.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.radial_basis.exponentialenvelope method)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.radial_basis.gaussianbasis method)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.GaussianBasis.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.radial_basis.polynomialenvelope method)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.radial_basis.radialbasis method)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.RadialBasis.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.radial_basis.sphericalbesselbasis method)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.forward"]], "ocpmodels.models.gemnet_oc.layers.radial_basis": [[92, "module-ocpmodels.models.gemnet_oc.layers.radial_basis"]], "circularbasislayer (class in ocpmodels.models.gemnet_oc.layers.spherical_basis)": [[93, "ocpmodels.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer"]], "sphericalbasislayer (class in ocpmodels.models.gemnet_oc.layers.spherical_basis)": [[93, "ocpmodels.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer"]], "forward() (ocpmodels.models.gemnet_oc.layers.spherical_basis.circularbasislayer method)": [[93, "ocpmodels.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.forward"]], "forward() (ocpmodels.models.gemnet_oc.layers.spherical_basis.sphericalbasislayer method)": [[93, "ocpmodels.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.forward"]], "ocpmodels.models.gemnet_oc.layers.spherical_basis": [[93, "module-ocpmodels.models.gemnet_oc.layers.spherical_basis"]], "calculate_interatomic_vectors() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.calculate_interatomic_vectors"]], "get_angle() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.get_angle"]], "get_edge_id() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.get_edge_id"]], "get_inner_idx() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.get_inner_idx"]], "get_neighbor_order() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.get_neighbor_order"]], "get_projected_angle() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.get_projected_angle"]], "inner_product_clamped() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.inner_product_clamped"]], "mask_neighbors() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.mask_neighbors"]], "masked_select_sparsetensor_flat() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.masked_select_sparsetensor_flat"]], "ocpmodels.models.gemnet_oc.utils": [[94, "module-ocpmodels.models.gemnet_oc.utils"]], "ragged_range() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.ragged_range"]], "repeat_blocks() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.repeat_blocks"]], "vector_rejection() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.vector_rejection"]], "available_pretrained_models (in module ocpmodels.models)": [[95, "ocpmodels.models.available_pretrained_models"]], "model_name_to_local_file() (in module ocpmodels.models)": [[95, "ocpmodels.models.model_name_to_local_file"]], "ocpmodels.models": [[95, "module-ocpmodels.models"]], "model_registry (in module ocpmodels.models.model_registry)": [[96, "ocpmodels.models.model_registry.MODEL_REGISTRY"]], "available_pretrained_models (in module ocpmodels.models.model_registry)": [[96, "ocpmodels.models.model_registry.available_pretrained_models"]], "model_name_to_local_file() (in module ocpmodels.models.model_registry)": [[96, "ocpmodels.models.model_registry.model_name_to_local_file"]], "ocpmodels.models.model_registry": [[96, "module-ocpmodels.models.model_registry"]], "painn (class in ocpmodels.models.painn)": [[97, "ocpmodels.models.painn.PaiNN"]], "__repr__() (ocpmodels.models.painn.painn method)": [[97, "ocpmodels.models.painn.PaiNN.__repr__"]], "forward() (ocpmodels.models.painn.painn method)": [[97, "ocpmodels.models.painn.PaiNN.forward"]], "generate_graph_values() (ocpmodels.models.painn.painn method)": [[97, "ocpmodels.models.painn.PaiNN.generate_graph_values"]], "num_params (ocpmodels.models.painn.painn property)": [[97, "ocpmodels.models.painn.PaiNN.num_params"]], "ocpmodels.models.painn": [[97, "module-ocpmodels.models.painn"]], "reset_parameters() (ocpmodels.models.painn.painn method)": [[97, "ocpmodels.models.painn.PaiNN.reset_parameters"]], "select_symmetric_edges() (ocpmodels.models.painn.painn method)": [[97, "ocpmodels.models.painn.PaiNN.select_symmetric_edges"]], "symmetrize_edges() (ocpmodels.models.painn.painn method)": [[97, "ocpmodels.models.painn.PaiNN.symmetrize_edges"]], "gatedequivariantblock (class in ocpmodels.models.painn.painn)": [[98, "ocpmodels.models.painn.painn.GatedEquivariantBlock"]], "painn (class in ocpmodels.models.painn.painn)": [[98, "ocpmodels.models.painn.painn.PaiNN"]], "painnmessage (class in ocpmodels.models.painn.painn)": [[98, "ocpmodels.models.painn.painn.PaiNNMessage"]], "painnoutput (class in ocpmodels.models.painn.painn)": [[98, "ocpmodels.models.painn.painn.PaiNNOutput"]], "painnupdate (class in ocpmodels.models.painn.painn)": [[98, "ocpmodels.models.painn.painn.PaiNNUpdate"]], "__repr__() (ocpmodels.models.painn.painn.painn method)": [[98, "ocpmodels.models.painn.painn.PaiNN.__repr__"]], "aggregate() (ocpmodels.models.painn.painn.painnmessage method)": [[98, "ocpmodels.models.painn.painn.PaiNNMessage.aggregate"]], "forward() (ocpmodels.models.painn.painn.gatedequivariantblock method)": [[98, "ocpmodels.models.painn.painn.GatedEquivariantBlock.forward"]], "forward() (ocpmodels.models.painn.painn.painn method)": [[98, "ocpmodels.models.painn.painn.PaiNN.forward"]], "forward() (ocpmodels.models.painn.painn.painnmessage method)": [[98, "ocpmodels.models.painn.painn.PaiNNMessage.forward"]], "forward() (ocpmodels.models.painn.painn.painnoutput method)": [[98, "ocpmodels.models.painn.painn.PaiNNOutput.forward"]], "forward() (ocpmodels.models.painn.painn.painnupdate method)": [[98, "ocpmodels.models.painn.painn.PaiNNUpdate.forward"]], "generate_graph_values() (ocpmodels.models.painn.painn.painn method)": [[98, "ocpmodels.models.painn.painn.PaiNN.generate_graph_values"]], "message() (ocpmodels.models.painn.painn.painnmessage method)": [[98, "ocpmodels.models.painn.painn.PaiNNMessage.message"]], "num_params (ocpmodels.models.painn.painn.painn property)": [[98, "ocpmodels.models.painn.painn.PaiNN.num_params"]], "ocpmodels.models.painn.painn": [[98, "module-ocpmodels.models.painn.painn"]], "reset_parameters() (ocpmodels.models.painn.painn.gatedequivariantblock method)": [[98, "ocpmodels.models.painn.painn.GatedEquivariantBlock.reset_parameters"]], "reset_parameters() (ocpmodels.models.painn.painn.painn method)": [[98, "ocpmodels.models.painn.painn.PaiNN.reset_parameters"]], "reset_parameters() (ocpmodels.models.painn.painn.painnmessage method)": [[98, "ocpmodels.models.painn.painn.PaiNNMessage.reset_parameters"]], "reset_parameters() (ocpmodels.models.painn.painn.painnoutput method)": [[98, "ocpmodels.models.painn.painn.PaiNNOutput.reset_parameters"]], "reset_parameters() (ocpmodels.models.painn.painn.painnupdate method)": [[98, "ocpmodels.models.painn.painn.PaiNNUpdate.reset_parameters"]], "select_symmetric_edges() (ocpmodels.models.painn.painn.painn method)": [[98, "ocpmodels.models.painn.painn.PaiNN.select_symmetric_edges"]], "symmetrize_edges() (ocpmodels.models.painn.painn.painn method)": [[98, "ocpmodels.models.painn.painn.PaiNN.symmetrize_edges"]], "update() (ocpmodels.models.painn.painn.painnmessage method)": [[98, "ocpmodels.models.painn.painn.PaiNNMessage.update"]], "get_edge_id() (in module ocpmodels.models.painn.utils)": [[99, "ocpmodels.models.painn.utils.get_edge_id"]], "ocpmodels.models.painn.utils": [[99, "module-ocpmodels.models.painn.utils"]], "repeat_blocks() (in module ocpmodels.models.painn.utils)": [[99, "ocpmodels.models.painn.utils.repeat_blocks"]], "schnetwrap (class in ocpmodels.models.schnet)": [[100, "ocpmodels.models.schnet.SchNetWrap"]], "_forward() (ocpmodels.models.schnet.schnetwrap method)": [[100, "ocpmodels.models.schnet.SchNetWrap._forward"]], "forward() (ocpmodels.models.schnet.schnetwrap method)": [[100, "ocpmodels.models.schnet.SchNetWrap.forward"]], "num_params (ocpmodels.models.schnet.schnetwrap property)": [[100, "ocpmodels.models.schnet.SchNetWrap.num_params"]], "ocpmodels.models.schnet": [[100, "module-ocpmodels.models.schnet"]], "sphericalchannelnetwork (class in ocpmodels.models.scn)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork"]], "_forward_helper() (ocpmodels.models.scn.sphericalchannelnetwork method)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork._forward_helper"]], "_init_edge_rot_mat() (ocpmodels.models.scn.sphericalchannelnetwork method)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork._init_edge_rot_mat"]], "_rank_edge_distances() (ocpmodels.models.scn.sphericalchannelnetwork method)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork._rank_edge_distances"]], "energy_fc1 (ocpmodels.models.scn.sphericalchannelnetwork attribute)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.energy_fc1"]], "energy_fc2 (ocpmodels.models.scn.sphericalchannelnetwork attribute)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.energy_fc2"]], "energy_fc3 (ocpmodels.models.scn.sphericalchannelnetwork attribute)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.energy_fc3"]], "force_fc1 (ocpmodels.models.scn.sphericalchannelnetwork attribute)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.force_fc1"]], "force_fc2 (ocpmodels.models.scn.sphericalchannelnetwork attribute)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.force_fc2"]], "force_fc3 (ocpmodels.models.scn.sphericalchannelnetwork attribute)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.force_fc3"]], "forward() (ocpmodels.models.scn.sphericalchannelnetwork method)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.forward"]], "num_params (ocpmodels.models.scn.sphericalchannelnetwork property)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.num_params"]], "ocpmodels.models.scn": [[101, "module-ocpmodels.models.scn"]], "calcspherepoints() (in module ocpmodels.models.scn.sampling)": [[102, "ocpmodels.models.scn.sampling.CalcSpherePoints"]], "calcspherepointsrandom() (in module ocpmodels.models.scn.sampling)": [[102, "ocpmodels.models.scn.sampling.CalcSpherePointsRandom"]], "ocpmodels.models.scn.sampling": [[102, "module-ocpmodels.models.scn.sampling"]], "distanceblock (class in ocpmodels.models.scn.scn)": [[103, "ocpmodels.models.scn.scn.DistanceBlock"]], "edgeblock (class in ocpmodels.models.scn.scn)": [[103, "ocpmodels.models.scn.scn.EdgeBlock"]], "messageblock (class in ocpmodels.models.scn.scn)": [[103, "ocpmodels.models.scn.scn.MessageBlock"]], "sphericalchannelnetwork (class in ocpmodels.models.scn.scn)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork"]], "_forward_helper() (ocpmodels.models.scn.scn.sphericalchannelnetwork method)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork._forward_helper"]], "_init_edge_rot_mat() (ocpmodels.models.scn.scn.sphericalchannelnetwork method)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork._init_edge_rot_mat"]], "_rank_edge_distances() (ocpmodels.models.scn.scn.sphericalchannelnetwork method)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork._rank_edge_distances"]], "energy_fc1 (ocpmodels.models.scn.scn.sphericalchannelnetwork attribute)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.energy_fc1"]], "energy_fc2 (ocpmodels.models.scn.scn.sphericalchannelnetwork attribute)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.energy_fc2"]], "energy_fc3 (ocpmodels.models.scn.scn.sphericalchannelnetwork attribute)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.energy_fc3"]], "force_fc1 (ocpmodels.models.scn.scn.sphericalchannelnetwork attribute)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.force_fc1"]], "force_fc2 (ocpmodels.models.scn.scn.sphericalchannelnetwork attribute)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.force_fc2"]], "force_fc3 (ocpmodels.models.scn.scn.sphericalchannelnetwork attribute)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.force_fc3"]], "forward() (ocpmodels.models.scn.scn.distanceblock method)": [[103, "ocpmodels.models.scn.scn.DistanceBlock.forward"]], "forward() (ocpmodels.models.scn.scn.edgeblock method)": [[103, "ocpmodels.models.scn.scn.EdgeBlock.forward"]], "forward() (ocpmodels.models.scn.scn.messageblock method)": [[103, "ocpmodels.models.scn.scn.MessageBlock.forward"]], "forward() (ocpmodels.models.scn.scn.sphericalchannelnetwork method)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.forward"]], "num_params (ocpmodels.models.scn.scn.sphericalchannelnetwork property)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.num_params"]], "ocpmodels.models.scn.scn": [[103, "module-ocpmodels.models.scn.scn"]], "gaussiansmearing (class in ocpmodels.models.scn.smearing)": [[104, "ocpmodels.models.scn.smearing.GaussianSmearing"]], "linearsigmoidsmearing (class in ocpmodels.models.scn.smearing)": [[104, "ocpmodels.models.scn.smearing.LinearSigmoidSmearing"]], "silusmearing (class in ocpmodels.models.scn.smearing)": [[104, "ocpmodels.models.scn.smearing.SiLUSmearing"]], "sigmoidsmearing (class in ocpmodels.models.scn.smearing)": [[104, "ocpmodels.models.scn.smearing.SigmoidSmearing"]], "forward() (ocpmodels.models.scn.smearing.gaussiansmearing method)": [[104, "ocpmodels.models.scn.smearing.GaussianSmearing.forward"]], "forward() (ocpmodels.models.scn.smearing.linearsigmoidsmearing method)": [[104, "ocpmodels.models.scn.smearing.LinearSigmoidSmearing.forward"]], "forward() (ocpmodels.models.scn.smearing.silusmearing method)": [[104, "ocpmodels.models.scn.smearing.SiLUSmearing.forward"]], "forward() (ocpmodels.models.scn.smearing.sigmoidsmearing method)": [[104, "ocpmodels.models.scn.smearing.SigmoidSmearing.forward"]], "ocpmodels.models.scn.smearing": [[104, "module-ocpmodels.models.scn.smearing"]], "combineyrotations() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.CombineYRotations"]], "flipgrid() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.FlipGrid"]], "fromgrid() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.FromGrid"]], "initwignerdmatrix() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitWignerDMatrix"]], "inityrotmapping() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitYRotMapping"]], "rotate() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.Rotate"]], "rotateinv() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateInv"]], "rotatewigner() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateWigner"]], "rotationmatrix() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationMatrix"]], "rotationtowignerdmatrix() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationToWignerDMatrix"]], "sphericalharmonicshelper (class in ocpmodels.models.scn.spherical_harmonics)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper"]], "togrid() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.ToGrid"]], "_jd (in module ocpmodels.models.scn.spherical_harmonics)": [[105, "ocpmodels.models.scn.spherical_harmonics._Jd"]], "_z_rot_mat() (in module ocpmodels.models.scn.spherical_harmonics)": [[105, "ocpmodels.models.scn.spherical_harmonics._z_rot_mat"]], "ocpmodels.models.scn.spherical_harmonics": [[105, "module-ocpmodels.models.scn.spherical_harmonics"]], "wigner_d() (in module ocpmodels.models.scn.spherical_harmonics)": [[105, "ocpmodels.models.scn.spherical_harmonics.wigner_D"]], "act (class in ocpmodels.models.utils.activations)": [[106, "ocpmodels.models.utils.activations.Act"]], "forward() (ocpmodels.models.utils.activations.act method)": [[106, "ocpmodels.models.utils.activations.Act.forward"]], "ocpmodels.models.utils.activations": [[106, "module-ocpmodels.models.utils.activations"]], "basis (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.Basis"]], "fouriersmearing (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.FourierSmearing"]], "gaussiansmearing (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.GaussianSmearing"]], "sinesmearing (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.SINESmearing"]], "siren (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.SIREN"]], "sine (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.Sine"]], "sphericalsmearing (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.SphericalSmearing"]], "forward() (ocpmodels.models.utils.basis.basis method)": [[107, "ocpmodels.models.utils.basis.Basis.forward"]], "forward() (ocpmodels.models.utils.basis.fouriersmearing method)": [[107, "ocpmodels.models.utils.basis.FourierSmearing.forward"]], "forward() (ocpmodels.models.utils.basis.gaussiansmearing method)": [[107, "ocpmodels.models.utils.basis.GaussianSmearing.forward"]], "forward() (ocpmodels.models.utils.basis.sinesmearing method)": [[107, "ocpmodels.models.utils.basis.SINESmearing.forward"]], "forward() (ocpmodels.models.utils.basis.siren method)": [[107, "ocpmodels.models.utils.basis.SIREN.forward"]], "forward() (ocpmodels.models.utils.basis.sine method)": [[107, "ocpmodels.models.utils.basis.Sine.forward"]], "forward() (ocpmodels.models.utils.basis.sphericalsmearing method)": [[107, "ocpmodels.models.utils.basis.SphericalSmearing.forward"]], "m (ocpmodels.models.utils.basis.sphericalsmearing attribute)": [[107, "ocpmodels.models.utils.basis.SphericalSmearing.m"]], "n (ocpmodels.models.utils.basis.sphericalsmearing attribute)": [[107, "ocpmodels.models.utils.basis.SphericalSmearing.n"]], "ocpmodels.models.utils.basis": [[107, "module-ocpmodels.models.utils.basis"]], "smearing (ocpmodels.models.utils.basis.basis attribute)": [[107, "ocpmodels.models.utils.basis.Basis.smearing"]], "ocpmodels.models.utils": [[108, "module-ocpmodels.models.utils"]], "evaluator (class in ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.Evaluator"]], "none (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.NONE"]], "average_distance_within_threshold() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.average_distance_within_threshold"]], "cosine_similarity() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.cosine_similarity"]], "energy_forces_within_threshold() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.energy_forces_within_threshold"]], "energy_within_threshold() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.energy_within_threshold"]], "eval() (ocpmodels.modules.evaluator.evaluator method)": [[109, "ocpmodels.modules.evaluator.Evaluator.eval"]], "forcesx_mae() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.forcesx_mae"]], "forcesx_mse() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.forcesx_mse"]], "forcesy_mae() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.forcesy_mae"]], "forcesy_mse() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.forcesy_mse"]], "forcesz_mae() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.forcesz_mae"]], "forcesz_mse() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.forcesz_mse"]], "mae() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.mae"]], "magnitude_error() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.magnitude_error"]], "min_diff() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.min_diff"]], "mse() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.mse"]], "ocpmodels.modules.evaluator": [[109, "module-ocpmodels.modules.evaluator"]], "task_metrics (ocpmodels.modules.evaluator.evaluator attribute)": [[109, "ocpmodels.modules.evaluator.Evaluator.task_metrics"]], "task_primary_metric (ocpmodels.modules.evaluator.evaluator attribute)": [[109, "ocpmodels.modules.evaluator.Evaluator.task_primary_metric"]], "update() (ocpmodels.modules.evaluator.evaluator method)": [[109, "ocpmodels.modules.evaluator.Evaluator.update"]], "exponentialmovingaverage (class in ocpmodels.modules.exponential_moving_average)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage"]], "_get_parameters() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage._get_parameters"]], "copy_to() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage.copy_to"]], "load_state_dict() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage.load_state_dict"]], "ocpmodels.modules.exponential_moving_average": [[110, "module-ocpmodels.modules.exponential_moving_average"]], "restore() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage.restore"]], "state_dict() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage.state_dict"]], "store() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage.store"]], "update() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage.update"]], "ocpmodels.modules": [[111, "module-ocpmodels.modules"]], "atomwisel2loss (class in ocpmodels.modules.loss)": [[112, "ocpmodels.modules.loss.AtomwiseL2Loss"]], "ddploss (class in ocpmodels.modules.loss)": [[112, "ocpmodels.modules.loss.DDPLoss"]], "l2maeloss (class in ocpmodels.modules.loss)": [[112, "ocpmodels.modules.loss.L2MAELoss"]], "forward() (ocpmodels.modules.loss.atomwisel2loss method)": [[112, "ocpmodels.modules.loss.AtomwiseL2Loss.forward"]], "forward() (ocpmodels.modules.loss.ddploss method)": [[112, "ocpmodels.modules.loss.DDPLoss.forward"]], "forward() (ocpmodels.modules.loss.l2maeloss method)": [[112, "ocpmodels.modules.loss.L2MAELoss.forward"]], "ocpmodels.modules.loss": [[112, "module-ocpmodels.modules.loss"]], "normalizer (class in ocpmodels.modules.normalizer)": [[113, "ocpmodels.modules.normalizer.Normalizer"]], "denorm() (ocpmodels.modules.normalizer.normalizer method)": [[113, "ocpmodels.modules.normalizer.Normalizer.denorm"]], "load_state_dict() (ocpmodels.modules.normalizer.normalizer method)": [[113, "ocpmodels.modules.normalizer.Normalizer.load_state_dict"]], "norm() (ocpmodels.modules.normalizer.normalizer method)": [[113, "ocpmodels.modules.normalizer.Normalizer.norm"]], "ocpmodels.modules.normalizer": [[113, "module-ocpmodels.modules.normalizer"]], "state_dict() (ocpmodels.modules.normalizer.normalizer method)": [[113, "ocpmodels.modules.normalizer.Normalizer.state_dict"]], "to() (ocpmodels.modules.normalizer.normalizer method)": [[113, "ocpmodels.modules.normalizer.Normalizer.to"]], "scaledict (in module ocpmodels.modules.scaling.compat)": [[114, "ocpmodels.modules.scaling.compat.ScaleDict"]], "_load_scale_dict() (in module ocpmodels.modules.scaling.compat)": [[114, "ocpmodels.modules.scaling.compat._load_scale_dict"]], "load_scales_compat() (in module ocpmodels.modules.scaling.compat)": [[114, "ocpmodels.modules.scaling.compat.load_scales_compat"]], "ocpmodels.modules.scaling.compat": [[114, "module-ocpmodels.modules.scaling.compat"]], "_prefilled_input() (in module ocpmodels.modules.scaling.fit)": [[115, "ocpmodels.modules.scaling.fit._prefilled_input"]], "_train_batch() (in module ocpmodels.modules.scaling.fit)": [[115, "ocpmodels.modules.scaling.fit._train_batch"]], "main() (in module ocpmodels.modules.scaling.fit)": [[115, "ocpmodels.modules.scaling.fit.main"]], "ocpmodels.modules.scaling.fit": [[115, "module-ocpmodels.modules.scaling.fit"]], "scalefactor (class in ocpmodels.modules.scaling)": [[116, "ocpmodels.modules.scaling.ScaleFactor"]], "_enforce_consistency() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor._enforce_consistency"]], "_observe() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor._observe"]], "fit_() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor.fit_"]], "fit_context_() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor.fit_context_"]], "fitted (ocpmodels.modules.scaling.scalefactor property)": [[116, "ocpmodels.modules.scaling.ScaleFactor.fitted"]], "forward() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor.forward"]], "index_fn (ocpmodels.modules.scaling.scalefactor attribute)": [[116, "ocpmodels.modules.scaling.ScaleFactor.index_fn"]], "initialize_() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor.initialize_"]], "name (ocpmodels.modules.scaling.scalefactor attribute)": [[116, "ocpmodels.modules.scaling.ScaleFactor.name"]], "ocpmodels.modules.scaling": [[116, "module-ocpmodels.modules.scaling"]], "reset_() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor.reset_"]], "scale_factor (ocpmodels.modules.scaling.scalefactor attribute)": [[116, "ocpmodels.modules.scaling.ScaleFactor.scale_factor"]], "set_() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor.set_"]], "stats (ocpmodels.modules.scaling.scalefactor attribute)": [[116, "ocpmodels.modules.scaling.ScaleFactor.stats"]], "indexfn (in module ocpmodels.modules.scaling.scale_factor)": [[117, "ocpmodels.modules.scaling.scale_factor.IndexFn"]], "scalefactor (class in ocpmodels.modules.scaling.scale_factor)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor"]], "_stats (class in ocpmodels.modules.scaling.scale_factor)": [[117, "ocpmodels.modules.scaling.scale_factor._Stats"]], "_check_consistency() (in module ocpmodels.modules.scaling.scale_factor)": [[117, "ocpmodels.modules.scaling.scale_factor._check_consistency"]], "_enforce_consistency() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor._enforce_consistency"]], "_observe() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor._observe"]], "fit_() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.fit_"]], "fit_context_() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.fit_context_"]], "fitted (ocpmodels.modules.scaling.scale_factor.scalefactor property)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.fitted"]], "forward() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.forward"]], "index_fn (ocpmodels.modules.scaling.scale_factor.scalefactor attribute)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.index_fn"]], "initialize_() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.initialize_"]], "n_samples (ocpmodels.modules.scaling.scale_factor._stats attribute)": [[117, "ocpmodels.modules.scaling.scale_factor._Stats.n_samples"]], "name (ocpmodels.modules.scaling.scale_factor.scalefactor attribute)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.name"]], "ocpmodels.modules.scaling.scale_factor": [[117, "module-ocpmodels.modules.scaling.scale_factor"]], "reset_() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.reset_"]], "scale_factor (ocpmodels.modules.scaling.scale_factor.scalefactor attribute)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.scale_factor"]], "set_() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.set_"]], "stats (ocpmodels.modules.scaling.scale_factor.scalefactor attribute)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.stats"]], "variance_in (ocpmodels.modules.scaling.scale_factor._stats attribute)": [[117, "ocpmodels.modules.scaling.scale_factor._Stats.variance_in"]], "variance_out (ocpmodels.modules.scaling.scale_factor._stats attribute)": [[117, "ocpmodels.modules.scaling.scale_factor._Stats.variance_out"]], "ensure_fitted() (in module ocpmodels.modules.scaling.util)": [[118, "ocpmodels.modules.scaling.util.ensure_fitted"]], "ocpmodels.modules.scaling.util": [[118, "module-ocpmodels.modules.scaling.util"]], "lrscheduler (class in ocpmodels.modules.scheduler)": [[119, "ocpmodels.modules.scheduler.LRScheduler"]], "filter_kwargs() (ocpmodels.modules.scheduler.lrscheduler method)": [[119, "ocpmodels.modules.scheduler.LRScheduler.filter_kwargs"]], "get_lr() (ocpmodels.modules.scheduler.lrscheduler method)": [[119, "ocpmodels.modules.scheduler.LRScheduler.get_lr"]], "ocpmodels.modules.scheduler": [[119, "module-ocpmodels.modules.scheduler"]], "step() (ocpmodels.modules.scheduler.lrscheduler method)": [[119, "ocpmodels.modules.scheduler.LRScheduler.step"]], "datatransforms (class in ocpmodels.modules.transforms)": [[120, "ocpmodels.modules.transforms.DataTransforms"]], "__call__() (ocpmodels.modules.transforms.datatransforms method)": [[120, "ocpmodels.modules.transforms.DataTransforms.__call__"]], "decompose_tensor() (in module ocpmodels.modules.transforms)": [[120, "ocpmodels.modules.transforms.decompose_tensor"]], "ocpmodels.modules.transforms": [[120, "module-ocpmodels.modules.transforms"]], "aseatomsadaptor (in module ocpmodels.preprocessing.atoms_to_graphs)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AseAtomsAdaptor"]], "atomstographs (class in ocpmodels.preprocessing.atoms_to_graphs)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs"]], "_get_neighbors_pymatgen() (ocpmodels.preprocessing.atoms_to_graphs.atomstographs method)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs._get_neighbors_pymatgen"]], "_reshape_features() (ocpmodels.preprocessing.atoms_to_graphs.atomstographs method)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs._reshape_features"]], "convert() (ocpmodels.preprocessing.atoms_to_graphs.atomstographs method)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.convert"]], "convert_all() (ocpmodels.preprocessing.atoms_to_graphs.atomstographs method)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.convert_all"]], "max_neigh (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.max_neigh"]], "ocpmodels.preprocessing.atoms_to_graphs": [[121, "module-ocpmodels.preprocessing.atoms_to_graphs"]], "r_data_keys (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_data_keys"]], "r_distances (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_distances"]], "r_edges (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_edges"]], "r_energy (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_energy"]], "r_fixed (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_fixed"]], "r_forces (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_forces"]], "r_pbc (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_pbc"]], "r_stress (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_stress"]], "radius (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.radius"]], "shell (in module ocpmodels.preprocessing.atoms_to_graphs)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.shell"]], "atomstographs (class in ocpmodels.preprocessing)": [[122, "ocpmodels.preprocessing.AtomsToGraphs"]], "_get_neighbors_pymatgen() (ocpmodels.preprocessing.atomstographs method)": [[122, "ocpmodels.preprocessing.AtomsToGraphs._get_neighbors_pymatgen"]], "_reshape_features() (ocpmodels.preprocessing.atomstographs method)": [[122, "ocpmodels.preprocessing.AtomsToGraphs._reshape_features"]], "convert() (ocpmodels.preprocessing.atomstographs method)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.convert"]], "convert_all() (ocpmodels.preprocessing.atomstographs method)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.convert_all"]], "max_neigh (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.max_neigh"]], "ocpmodels.preprocessing": [[122, "module-ocpmodels.preprocessing"]], "r_data_keys (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_data_keys"]], "r_distances (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_distances"]], "r_edges (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_edges"]], "r_energy (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_energy"]], "r_fixed (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_fixed"]], "r_forces (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_forces"]], "r_pbc (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_pbc"]], "r_stress (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_stress"]], "radius (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.radius"]], "predicttask (class in ocpmodels.tasks)": [[123, "ocpmodels.tasks.PredictTask"]], "relaxationtask (class in ocpmodels.tasks)": [[123, "ocpmodels.tasks.RelaxationTask"]], "traintask (class in ocpmodels.tasks)": [[123, "ocpmodels.tasks.TrainTask"]], "validatetask (class in ocpmodels.tasks)": [[123, "ocpmodels.tasks.ValidateTask"]], "_process_error() (ocpmodels.tasks.traintask method)": [[123, "ocpmodels.tasks.TrainTask._process_error"]], "ocpmodels.tasks": [[123, "module-ocpmodels.tasks"]], "run() (ocpmodels.tasks.predicttask method)": [[123, "ocpmodels.tasks.PredictTask.run"]], "run() (ocpmodels.tasks.relaxationtask method)": [[123, "ocpmodels.tasks.RelaxationTask.run"]], "run() (ocpmodels.tasks.traintask method)": [[123, "ocpmodels.tasks.TrainTask.run"]], "run() (ocpmodels.tasks.validatetask method)": [[123, "ocpmodels.tasks.ValidateTask.run"]], "basetask (class in ocpmodels.tasks.task)": [[124, "ocpmodels.tasks.task.BaseTask"]], "predicttask (class in ocpmodels.tasks.task)": [[124, "ocpmodels.tasks.task.PredictTask"]], "relaxationtask (class in ocpmodels.tasks.task)": [[124, "ocpmodels.tasks.task.RelaxationTask"]], "traintask (class in ocpmodels.tasks.task)": [[124, "ocpmodels.tasks.task.TrainTask"]], "validatetask (class in ocpmodels.tasks.task)": [[124, "ocpmodels.tasks.task.ValidateTask"]], "_process_error() (ocpmodels.tasks.task.traintask method)": [[124, "ocpmodels.tasks.task.TrainTask._process_error"]], "ocpmodels.tasks.task": [[124, "module-ocpmodels.tasks.task"]], "run() (ocpmodels.tasks.task.basetask method)": [[124, "ocpmodels.tasks.task.BaseTask.run"]], "run() (ocpmodels.tasks.task.predicttask method)": [[124, "ocpmodels.tasks.task.PredictTask.run"]], "run() (ocpmodels.tasks.task.relaxationtask method)": [[124, "ocpmodels.tasks.task.RelaxationTask.run"]], "run() (ocpmodels.tasks.task.traintask method)": [[124, "ocpmodels.tasks.task.TrainTask.run"]], "run() (ocpmodels.tasks.task.validatetask method)": [[124, "ocpmodels.tasks.task.ValidateTask.run"]], "setup() (ocpmodels.tasks.task.basetask method)": [[124, "ocpmodels.tasks.task.BaseTask.setup"]], "basetrainer (class in ocpmodels.trainers.base_trainer)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer"]], "_backward() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer._backward"]], "_get_timestamp() (ocpmodels.trainers.base_trainer.basetrainer static method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer._get_timestamp"]], "_unwrapped_model (ocpmodels.trainers.base_trainer.basetrainer property)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer._unwrapped_model"]], "get_dataloader() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.get_dataloader"]], "get_sampler() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.get_sampler"]], "load() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load"]], "load_checkpoint() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_checkpoint"]], "load_datasets() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_datasets"]], "load_extras() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_extras"]], "load_logger() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_logger"]], "load_loss() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_loss"]], "load_model() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_model"]], "load_optimizer() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_optimizer"]], "load_seed_from_config() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_seed_from_config"]], "load_task() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_task"]], "ocpmodels.trainers.base_trainer": [[125, "module-ocpmodels.trainers.base_trainer"]], "save() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.save"]], "save_results() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.save_results"]], "set_seed() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.set_seed"]], "train() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.train"]], "update_best() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.update_best"]], "validate() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.validate"]], "basetrainer (class in ocpmodels.trainers)": [[126, "ocpmodels.trainers.BaseTrainer"]], "ocptrainer (class in ocpmodels.trainers)": [[126, "ocpmodels.trainers.OCPTrainer"]], "_backward() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer._backward"]], "_compute_loss() (ocpmodels.trainers.ocptrainer method)": [[126, "ocpmodels.trainers.OCPTrainer._compute_loss"]], "_compute_metrics() (ocpmodels.trainers.ocptrainer method)": [[126, "ocpmodels.trainers.OCPTrainer._compute_metrics"]], "_forward() (ocpmodels.trainers.ocptrainer method)": [[126, "ocpmodels.trainers.OCPTrainer._forward"]], "_get_timestamp() (ocpmodels.trainers.basetrainer static method)": [[126, "ocpmodels.trainers.BaseTrainer._get_timestamp"]], "_unwrapped_model (ocpmodels.trainers.basetrainer property)": [[126, "ocpmodels.trainers.BaseTrainer._unwrapped_model"]], "get_dataloader() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.get_dataloader"]], "get_sampler() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.get_sampler"]], "load() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load"]], "load_checkpoint() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_checkpoint"]], "load_datasets() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_datasets"]], "load_extras() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_extras"]], "load_logger() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_logger"]], "load_loss() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_loss"]], "load_model() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_model"]], "load_optimizer() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_optimizer"]], "load_seed_from_config() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_seed_from_config"]], "load_task() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_task"]], "ocpmodels.trainers": [[126, "module-ocpmodels.trainers"]], "predict() (ocpmodels.trainers.ocptrainer method)": [[126, "ocpmodels.trainers.OCPTrainer.predict"]], "run_relaxations() (ocpmodels.trainers.ocptrainer method)": [[126, "ocpmodels.trainers.OCPTrainer.run_relaxations"]], "save() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.save"]], "save_results() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.save_results"]], "set_seed() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.set_seed"]], "train() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.train"]], "train() (ocpmodels.trainers.ocptrainer method)": [[126, "ocpmodels.trainers.OCPTrainer.train"]], "update_best() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.update_best"]], "validate() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.validate"]], "ocptrainer (class in ocpmodels.trainers.ocp_trainer)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer"]], "_compute_loss() (ocpmodels.trainers.ocp_trainer.ocptrainer method)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer._compute_loss"]], "_compute_metrics() (ocpmodels.trainers.ocp_trainer.ocptrainer method)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer._compute_metrics"]], "_forward() (ocpmodels.trainers.ocp_trainer.ocptrainer method)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer._forward"]], "ocpmodels.trainers.ocp_trainer": [[127, "module-ocpmodels.trainers.ocp_trainer"]], "predict() (ocpmodels.trainers.ocp_trainer.ocptrainer method)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer.predict"]], "run_relaxations() (ocpmodels.trainers.ocp_trainer.ocptrainer method)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer.run_relaxations"]], "train() (ocpmodels.trainers.ocp_trainer.ocptrainer method)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer.train"]]}})
\ No newline at end of file
+Search.setIndex({"alltitles": {"": [[130, "id1"], [130, "id2"]], "(Optional) Creating your own LMDBs for use in the OCP repository": [[147, "optional-creating-your-own-lmdbs-for-use-in-the-ocp-repository"]], "(Optional) Deduplicate structures": [[154, "optional-deduplicate-structures"]], "(Optional) OCP Calculator <a name=\"calc\"></a>": [[147, "optional-ocp-calculator"]], "A clustering example": [[156, "a-clustering-example"]], "A diagnostic example": [[156, "a-diagnostic-example"]], "A simple vector search example": [[156, "a-simple-vector-search-example"]], "API Reference": [[0, "api-reference"]], "About the compute environment": [[158, "about-the-compute-environment"]], "Abstract": [[158, "abstract"]], "Acknowledgements": [[146, "acknowledgements"]], "Adding additional info to your Data objects": [[148, "adding-additional-info-to-your-data-objects"]], "Additional Resources": [[147, "additional-resources"]], "AdsorbML tutorial": [[154, "adsorbml-tutorial"]], "Adsorbate+catalyst system trajectories (optional download)": [[129, "adsorbate-catalyst-system-trajectories-optional-download"]], "Adsorbate-catalyst system to catalyst system mapping information": [[129, "adsorbate-catalyst-system-to-catalyst-system-mapping-information"]], "Adsorption energy": [[147, "adsorption-energy"]], "Advanced OCP usage": [[155, "advanced-ocp-usage"]], "Advanced usage": [[138, "advanced-usage"], [142, "advanced-usage"]], "Are predictions from OCP models deterministic?": [[140, "are-predictions-from-ocp-models-deterministic"]], "Atom and Edge Embeddings": [[147, "atom-and-edge-embeddings"]], "Atomic numbers": [[147, "atomic-numbers"], [149, "atomic-numbers"]], "Atomic symbols": [[147, "atomic-symbols"], [149, "atomic-symbols"]], "Attributes": [[3, "attributes"], [4, "attributes"], [8, "attributes"], [16, "attributes"], [26, "attributes"], [27, "attributes"], [32, "attributes"], [36, "attributes"], [50, "attributes"], [53, "attributes"], [95, "attributes"], [96, "attributes"], [105, "attributes"], [109, "attributes"], [114, "attributes"], [117, "attributes"], [121, "attributes"]], "Background & Prerequisites": [[147, "background-prerequisites"]], "Background <a name=\"background\"></a>": [[147, "background"]], "Background References": [[147, "background-references"]], "Bader charge data": [[129, "bader-charge-data"]], "Bulk Cu equation of state example": [[156, "bulk-cu-equation-of-state-example"]], "CPU-only install (slower training/inference!)": [[135, "cpu-only-install-slower-training-inference"]], "CPU-only machines": [[135, "cpu-only-machines"]], "Calculating adsorption energies": [[153, "calculating-adsorption-energies"]], "Catalyst system trajectories (optional download)": [[129, "catalyst-system-trajectories-optional-download"]], "Changing the model type": [[142, "changing-the-model-type"]], "Checkpoints": [[158, "checkpoints"]], "Citing OC20": [[129, "citing-oc20"]], "Citing OC22": [[130, "citing-oc22"]], "Citing ODAC23": [[131, "citing-odac23"]], "Citing ocp": [[146, "citing-ocp"]], "Citing ocpapi": [[142, "citing-ocpapi"]], "Classes": [[1, "classes"], [3, "classes"], [4, "classes"], [7, "classes"], [8, "classes"], [9, "classes"], [13, "classes"], [14, "classes"], [17, "classes"], [19, "classes"], [25, "classes"], [26, "classes"], [27, "classes"], [28, "classes"], [31, "classes"], [32, "classes"], [33, "classes"], [34, "classes"], [36, "classes"], [37, "classes"], [38, "classes"], [39, "classes"], [40, "classes"], [41, "classes"], [42, "classes"], [43, "classes"], [44, "classes"], [45, "classes"], [46, "classes"], [48, "classes"], [49, "classes"], [51, "classes"], [52, "classes"], [53, "classes"], [54, "classes"], [55, "classes"], [57, "classes"], [58, "classes"], [60, "classes"], [61, "classes"], [63, "classes"], [64, "classes"], [65, "classes"], [67, "classes"], [68, "classes"], [70, "classes"], [71, "classes"], [73, "classes"], [74, "classes"], [76, "classes"], [77, "classes"], [78, "classes"], [80, "classes"], [81, "classes"], [84, "classes"], [85, "classes"], [87, "classes"], [88, "classes"], [89, "classes"], [91, "classes"], [92, "classes"], [93, "classes"], [97, "classes"], [98, "classes"], [100, "classes"], [101, "classes"], [103, "classes"], [104, "classes"], [105, "classes"], [106, "classes"], [107, "classes"], [109, "classes"], [110, "classes"], [112, "classes"], [113, "classes"], [116, "classes"], [117, "classes"], [119, "classes"], [120, "classes"], [121, "classes"], [122, "classes"], [123, "classes"], [124, "classes"], [125, "classes"], [126, "classes"], [127, "classes"]], "Climate Impact": [[147, "climate-impact"]], "Clustering individual atoms": [[156, "clustering-individual-atoms"]], "Common gotchas with OCP": [[133, "common-gotchas-with-ocp"]], "Comparing ASE calculator and main.py": [[134, "comparing-ase-calculator-and-main-py"]], "Conda (preferred for model training & development)": [[135, "conda-preferred-for-model-training-development"]], "Convergence study": [[153, "convergence-study"]], "Convert Atoms object to Data object": [[148, "convert-atoms-object-to-data-object"]], "Converting to ase.Atoms objects": [[142, "converting-to-ase-atoms-objects"]], "Converting to other structure formats": [[142, "converting-to-other-structure-formats"]], "Create EvalAI OC20 submission files": [[141, "create-evalai-oc20-submission-files"]], "Create EvalAI OC22 submission files": [[141, "create-evalai-oc22-submission-files"]], "Create the trainer": [[147, "create-the-trainer"], [147, "id11"]], "DDEC Charges": [[131, "ddec-charges"]], "Data Download [~1min] <a name=\"download\"></a>": [[147, "data-download-1min"]], "Data Visualization <a name=\"visual\"></a>": [[147, "data-visualization"]], "Data contents": [[149, "data-contents"]], "Data contents <a name=\"contents\"></a>": [[147, "data-contents"]], "Data mapping information": [[129, "data-mapping-information"], [130, "data-mapping-information"]], "Dataset": [[147, "dataset"], [147, "id2"], [147, "id9"]], "Dataset Overview": [[147, "dataset-overview"]], "Dataset changelog": [[129, "dataset-changelog"]], "Datasets / Tasks": [[158, "datasets-tasks"]], "Define the Config": [[147, "define-the-config"], [147, "id4"], [147, "id10"]], "Discussion": [[146, "discussion"]], "Download and preprocess the dataset": [[129, "download-and-preprocess-the-dataset"]], "Download data": [[146, "download-data"]], "Download pretrained checkpoint": [[147, "download-pretrained-checkpoint"], [147, "id14"]], "Effects of number of layers": [[153, "effects-of-number-of-layers"]], "Effects of relaxation": [[153, "effects-of-relaxation"]], "Energy": [[149, "energy"]], "Enumerate the adsorbate-slab configurations to run relaxations on": [[151, "enumerate-the-adsorbate-slab-configurations-to-run-relaxations-on"], [154, "enumerate-the-adsorbate-slab-configurations-to-run-relaxations-on"]], "Exercises": [[153, "exercises"], [153, "id1"]], "Fast batched inference": [[134, "fast-batched-inference"]], "Fine tuning a model": [[132, "fine-tuning-a-model"]], "Fine tuning the checkpoint": [[132, "fine-tuning-the-checkpoint"]], "Fine-tuning with Python": [[157, "fine-tuning-with-python"]], "Fixed atoms constraint": [[147, "fixed-atoms-constraint"], [149, "fixed-atoms-constraint"]], "Force": [[147, "force"]], "Forces": [[149, "forces"]], "Functions": [[1, "functions"], [2, "functions"], [4, "functions"], [5, "functions"], [8, "functions"], [9, "functions"], [11, "functions"], [15, "functions"], [16, "functions"], [17, "functions"], [18, "functions"], [19, "functions"], [25, "functions"], [27, "functions"], [29, "functions"], [34, "functions"], [35, "functions"], [37, "functions"], [40, "functions"], [48, "functions"], [50, "functions"], [56, "functions"], [59, "functions"], [66, "functions"], [69, "functions"], [70, "functions"], [72, "functions"], [79, "functions"], [82, "functions"], [83, "functions"], [86, "functions"], [94, "functions"], [95, "functions"], [96, "functions"], [99, "functions"], [102, "functions"], [105, "functions"], [109, "functions"], [114, "functions"], [115, "functions"], [117, "functions"], [118, "functions"], [120, "functions"]], "GPU enabled machines": [[135, "gpu-enabled-machines"]], "GPU machines": [[135, "gpu-machines"]], "Generate toy dataset: Relaxation of CO on Cu": [[138, "generate-toy-dataset-relaxation-of-co-on-cu"], [148, "generate-toy-dataset-relaxation-of-co-on-cu"]], "Generating sample data": [[147, "generating-sample-data"], [149, "generating-sample-data"]], "Getting Started": [[141, "getting-started"]], "Goals for this tutorial": [[158, "goals-for-this-tutorial"]], "How do I train a model on OC20 total energies?": [[140, "how-do-i-train-a-model-on-oc20-total-energies"]], "I get wildly different energies from the different models": [[133, "i-get-wildly-different-energies-from-the-different-models"]], "I want the energy of a gas phase atom": [[133, "i-want-the-energy-of-a-gas-phase-atom"]], "IS2RE Direct models": [[139, "is2re-direct-models"]], "IS2RE Relaxations": [[141, "is2re-relaxations"]], "IS2RE models": [[139, "is2re-models"]], "IS2RS": [[139, "is2rs"]], "IS2RS:": [[141, "is2rs"]], "Imports": [[147, "imports"], [147, "id1"], [147, "id8"], [147, "id13"]], "Incorporating triplets and training GemNet-T": [[147, "incorporating-triplets-and-training-gemnet-t"]], "Initial Structure to Relaxed Energy (IS2RE) <a name=\"is2re\"></a>": [[147, "initial-structure-to-relaxed-energy-is2re"]], "Initial Structure to Relaxed Energy (IS2RE) LMDBs": [[147, "initial-structure-to-relaxed-energy-is2re-lmdbs"]], "Initial Structure to Relaxed Energy prediction (IS2RE)": [[141, "initial-structure-to-relaxed-energy-prediction-is2re"]], "Initial Structure to Relaxed Energy/Structure (IS2RE/IS2RS) LMDBs": [[138, "initial-structure-to-relaxed-energy-structure-is2re-is2rs-lmdbs"]], "Initial Structure to Relaxed Structure (IS2RS)": [[141, "initial-structure-to-relaxed-structure-is2rs"]], "Initial Structure to Relaxed Structure (IS2RS) / Relaxed Energy (IS2RE) tasks": [[131, "initial-structure-to-relaxed-structure-is2rs-relaxed-energy-is2re-tasks"]], "Initial Structure to Relaxed Structure (IS2RS) <a name=\"is2rs\"></a>": [[147, "initial-structure-to-relaxed-structure-is2rs"]], "Initial Structure to Relaxed Structure (IS2RS) and Initial Structure to Relaxed Energy (IS2RE) tasks": [[129, "initial-structure-to-relaxed-structure-is2rs-and-initial-structure-to-relaxed-energy-is2re-tasks"]], "Initial Structure to Relaxed Structure (IS2RS) and Initial Structure to Relaxed Total Energy (IS2RE-Total) tasks": [[130, "initial-structure-to-relaxed-structure-is2rs-and-initial-structure-to-relaxed-total-energy-is2re-total-tasks"]], "Initial Structure to Total Relaxed Energy (IS2RE-Total)": [[141, "initial-structure-to-total-relaxed-energy-is2re-total"]], "Initialize AtomsToGraph feature extractor": [[138, "initialize-atomstograph-feature-extractor"]], "Initialize LMDB file": [[138, "initialize-lmdb-file"]], "Installation": [[135, "installation"], [142, "installation"], [146, "installation"]], "Interacting with the LMDBs": [[138, "interacting-with-the-lmdbs"]], "Interacting with the OC20 datasets": [[147, "interacting-with-the-oc20-datasets"]], "Intro and background on OCP and DFT": [[158, "intro-and-background-on-ocp-and-dft"]], "Introduction": [[151, "introduction"], [158, "introduction"]], "I\u2019m trying to run GemNet-OC / GemNet-dT, but it throws an error that scaling factors are not fitted. What should I do?": [[140, "i-m-trying-to-run-gemnet-oc-gemnet-dt-but-it-throws-an-error-that-scaling-factors-are-not-fitted-what-should-i-do"]], "I\u2019m trying to run GemNet-OC on my data, but it errors out on sph_basis = self.spherical_basis(cos\u03c6_cab, \u03b8_cabd).": [[140, "i-m-trying-to-run-gemnet-oc-on-my-data-but-it-errors-out-on-sph-basis-self-spherical-basis-cos-cab-cabd"]], "Joint Training": [[141, "joint-training"]], "Legacy [deprecated] Tutorials": [[150, "legacy-deprecated-tutorials"]], "License": [[137, "license"], [142, "license"], [146, "license"]], "Limitations <a name=\"limit\"></a>": [[147, "limitations"]], "Load the best checkpoint": [[147, "load-the-best-checkpoint"], [147, "id7"], [147, "id12"]], "Make figure 6b and compare to literature results": [[151, "make-figure-6b-and-compare-to-literature-results"]], "Make parity plots for values obtained by ML v. reported in the paper": [[151, "make-parity-plots-for-values-obtained-by-ml-v-reported-in-the-paper"]], "Make the train, test, val splits": [[132, "make-the-train-test-val-splits"]], "Making LMDB Datasets (original format)": [[138, "making-lmdb-datasets-original-format"]], "Making and using ASE datasets": [[128, "making-and-using-ase-datasets"]], "March 2021": [[129, "march-2021"]], "Message passing": [[147, "message-passing"]], "Miscellaneous warnings": [[133, "miscellaneous-warnings"]], "Model FAQ": [[140, "model-faq"]], "Model development <a name=\"model-dev\"></a>": [[147, "model-development"]], "Models": [[140, "models"], [158, "models"]], "Module Contents": [[1, "module-contents"], [2, "module-contents"], [3, "module-contents"], [4, "module-contents"], [5, "module-contents"], [7, "module-contents"], [8, "module-contents"], [9, "module-contents"], [11, "module-contents"], [13, "module-contents"], [14, "module-contents"], [15, "module-contents"], [16, "module-contents"], [17, "module-contents"], [18, "module-contents"], [19, "module-contents"], [20, "module-contents"], [21, "module-contents"], [23, "module-contents"], [24, "module-contents"], [26, "module-contents"], [27, "module-contents"], [28, "module-contents"], [29, "module-contents"], [31, "module-contents"], [32, "module-contents"], [33, "module-contents"], [34, "module-contents"], [35, "module-contents"], [36, "module-contents"], [37, "module-contents"], [39, "module-contents"], [40, "module-contents"], [41, "module-contents"], [42, "module-contents"], [43, "module-contents"], [44, "module-contents"], [45, "module-contents"], [46, "module-contents"], [48, "module-contents"], [49, "module-contents"], [50, "module-contents"], [51, "module-contents"], [53, "module-contents"], [54, "module-contents"], [56, "module-contents"], [57, "module-contents"], [58, "module-contents"], [59, "module-contents"], [60, "module-contents"], [61, "module-contents"], [63, "module-contents"], [64, "module-contents"], [65, "module-contents"], [66, "module-contents"], [67, "module-contents"], [69, "module-contents"], [70, "module-contents"], [71, "module-contents"], [72, "module-contents"], [73, "module-contents"], [74, "module-contents"], [76, "module-contents"], [77, "module-contents"], [78, "module-contents"], [79, "module-contents"], [80, "module-contents"], [82, "module-contents"], [83, "module-contents"], [84, "module-contents"], [85, "module-contents"], [86, "module-contents"], [87, "module-contents"], [88, "module-contents"], [89, "module-contents"], [91, "module-contents"], [92, "module-contents"], [93, "module-contents"], [94, "module-contents"], [96, "module-contents"], [98, "module-contents"], [99, "module-contents"], [100, "module-contents"], [102, "module-contents"], [103, "module-contents"], [104, "module-contents"], [105, "module-contents"], [106, "module-contents"], [107, "module-contents"], [109, "module-contents"], [110, "module-contents"], [112, "module-contents"], [113, "module-contents"], [114, "module-contents"], [115, "module-contents"], [117, "module-contents"], [118, "module-contents"], [119, "module-contents"], [120, "module-contents"], [121, "module-contents"], [124, "module-contents"], [125, "module-contents"], [127, "module-contents"]], "Multi-structure Files": [[128, "multi-structure-files"]], "Next Steps <a name=\"steps\"></a>": [[147, "next-steps"]], "Next steps": [[153, "next-steps"]], "Normalize data": [[147, "normalize-data"], [147, "id3"]], "Note about async methods": [[142, "note-about-async-methods"]], "Notebook execution times": [[145, "notebook-execution-times"]], "OC20": [[141, "oc20"]], "OC20 mappings": [[129, "oc20-mappings"]], "OC20 reference information": [[130, "oc20-reference-information"]], "OC22": [[141, "oc22"]], "OC22 Mappings": [[130, "oc22-mappings"]], "OCP Data Preprocessing Tutorial": [[148, "ocp-data-preprocessing-tutorial"]], "OCP Data Visualization": [[149, "ocp-data-visualization"]], "Objective <a name=\"objective\"></a>": [[147, "objective"]], "Open Catalyst 2020 (OC20)": [[129, "open-catalyst-2020-oc20"], [139, "open-catalyst-2020-oc20"]], "Open Catalyst 2022 (OC22)": [[130, "open-catalyst-2022-oc22"], [139, "open-catalyst-2022-oc22"]], "Open Catalyst Project Tutorial Notebook": [[147, "open-catalyst-project-tutorial-notebook"]], "Open Direct Air Capture 2023 (ODAC23)": [[131, "open-direct-air-capture-2023-odac23"], [139, "open-direct-air-capture-2023-odac23"]], "OutOfMemoryError": [[133, "outofmemoryerror"]], "Overriding YAML config parameters from the command line": [[141, "overriding-yaml-config-parameters-from-the-command-line"]], "Package Contents": [[22, "package-contents"], [25, "package-contents"], [30, "package-contents"], [38, "package-contents"], [52, "package-contents"], [55, "package-contents"], [68, "package-contents"], [81, "package-contents"], [95, "package-contents"], [97, "package-contents"], [101, "package-contents"], [116, "package-contents"], [122, "package-contents"], [123, "package-contents"], [126, "package-contents"]], "Parse the trajectories and post-process": [[151, "parse-the-trajectories-and-post-process"], [154, "parse-the-trajectories-and-post-process"]], "Per-adsorbate trajectories": [[129, "per-adsorbate-trajectories"]], "Per-adsorbate trajectories (optional download)": [[129, "per-adsorbate-trajectories-optional-download"]], "Periodic boundary conditions (PBC)": [[147, "periodic-boundary-conditions-pbc"], [149, "periodic-boundary-conditions-pbc"]], "Persisting results": [[142, "persisting-results"]], "Plot energy profile of toy trajectory": [[147, "plot-energy-profile-of-toy-trajectory"]], "Pretrained model checkpoints": [[139, "pretrained-model-checkpoints"]], "Pretrained model weights": [[146, "pretrained-model-weights"]], "Quickstart": [[142, "quickstart"]], "Reading a trajectory": [[147, "reading-a-trajectory"], [149, "reading-a-trajectory"]], "References": [[147, "references"]], "Relaxation Trajectories": [[129, "relaxation-trajectories"], [130, "relaxation-trajectories"]], "Request entity too large - can\u2019t save your Notebook": [[133, "request-entity-too-large-can-t-save-your-notebook"]], "Resources": [[149, "resources"]], "Run ML relaxations:": [[154, "run-ml-relaxations"]], "Run all the systems": [[151, "run-all-the-systems"]], "Run an ML relaxation": [[151, "run-an-ml-relaxation"]], "Run on the test set": [[147, "run-on-the-test-set"]], "Run relaxations": [[147, "run-relaxations"]], "Run the training task": [[157, "run-the-training-task"]], "Running on command line [Preferred way to train models] <a name=\"cmd\"></a>": [[147, "running-on-command-line-preferred-way-to-train-models"]], "Running the training job": [[132, "running-the-training-job"]], "S2EF models": [[139, "s2ef-models"]], "S2EF models: optimized for EFwT": [[139, "s2ef-models-optimized-for-efwt"]], "S2EF models: optimized for force only": [[139, "s2ef-models-optimized-for-force-only"]], "S2EF-Total models": [[139, "s2ef-total-models"]], "S2EF-Total/IS2RE-Total:": [[141, "s2ef-total-is2re-total"]], "S2EF/IS2RE:": [[141, "s2ef-is2re"]], "Saving a trajectory video": [[149, "saving-a-trajectory-video"]], "Screening catalysts with OCP": [[152, "screening-catalysts-with-ocp"]], "Search over all surfaces": [[142, "search-over-all-surfaces"]], "September 2021": [[129, "september-2021"]], "Setting up the configuration yaml file": [[132, "setting-up-the-configuration-yaml-file"]], "Setup the training code": [[157, "setup-the-training-code"]], "Setup the training task": [[157, "setup-the-training-task"]], "Simple simulations using the OCP ASE calculator": [[153, "simple-simulations-using-the-ocp-ase-calculator"]], "Single-Structure Files": [[128, "single-structure-files"]], "Site correlations": [[153, "site-correlations"]], "Skip relaxation approval prompts": [[142, "skip-relaxation-approval-prompts"]], "Software Requirements": [[147, "software-requirements"]], "Split the data into train, test, val sets": [[157, "split-the-data-into-train-test-val-sets"]], "Steps for making IS2RS predictions": [[147, "steps-for-making-is2rs-predictions"]], "Steps for training an IS2RE model": [[147, "steps-for-training-an-is2re-model"]], "Steps for training an S2EF model": [[147, "steps-for-training-an-s2ef-model"]], "Stochastic simulation results": [[133, "stochastic-simulation-results"]], "Structural relaxations": [[147, "structural-relaxations"]], "Structure to Energy and Forces (S2EF)": [[141, "structure-to-energy-and-forces-s2ef"]], "Structure to Energy and Forces (S2EF) <a name=\"s2ef\"></a>": [[147, "structure-to-energy-and-forces-s2ef"]], "Structure to Energy and Forces (S2EF) LMDBs": [[138, "structure-to-energy-and-forces-s2ef-lmdbs"], [147, "structure-to-energy-and-forces-s2ef-lmdbs"]], "Structure to Energy and Forces (S2EF) task": [[129, "structure-to-energy-and-forces-s2ef-task"], [131, "structure-to-energy-and-forces-s2ef-task"]], "Structure to Total Energy and Forces (S2EF-Total)": [[141, "structure-to-total-energy-and-forces-s2ef-total"]], "Structure to Total Energy and Forces (S2EF-Total) task": [[130, "structure-to-total-energy-and-forces-s2ef-total-task"]], "Studies that have leveraged OCP models": [[143, "studies-that-have-leveraged-ocp-models"]], "Submodules": [[6, "submodules"], [10, "submodules"], [12, "submodules"], [22, "submodules"], [25, "submodules"], [38, "submodules"], [47, "submodules"], [52, "submodules"], [55, "submodules"], [62, "submodules"], [68, "submodules"], [75, "submodules"], [81, "submodules"], [90, "submodules"], [95, "submodules"], [97, "submodules"], [101, "submodules"], [108, "submodules"], [111, "submodules"], [116, "submodules"], [122, "submodules"], [123, "submodules"], [126, "submodules"]], "Subpackages": [[6, "subpackages"], [10, "subpackages"], [25, "subpackages"], [30, "subpackages"], [38, "subpackages"], [55, "subpackages"], [68, "subpackages"], [81, "subpackages"], [95, "subpackages"], [111, "subpackages"]], "Summary": [[153, "summary"]], "Supported bulks and adsorbates": [[142, "supported-bulks-and-adsorbates"]], "System trajectories (optional download)": [[130, "system-trajectories-optional-download"]], "Tags": [[147, "tags"], [149, "tags"]], "Target Audience": [[147, "target-audience"]], "Tasks": [[147, "tasks"]], "Technical presentations": [[159, "technical-presentations"]], "Test the model": [[147, "test-the-model"]], "The ASE calculator way": [[134, "the-ase-calculator-way"]], "The forces don\u2019t sum to zero": [[133, "the-forces-don-t-sum-to-zero"]], "To tag or not?": [[133, "to-tag-or-not"]], "Train and evaluate models": [[146, "train-and-evaluate-models"]], "Train the Model": [[147, "id5"]], "Train the model": [[147, "train-the-model"]], "Training OC20 models with total energies (IS2RE/S2EF)": [[141, "training-oc20-models-with-total-energies-is2re-s2ef"]], "Training and evaluating custom models on OCP datasets": [[141, "training-and-evaluating-custom-models-on-ocp-datasets"]], "Training the model": [[147, "training-the-model"]], "Trends in adsorption energies across metals.": [[153, "trends-in-adsorption-energies-across-metals"]], "Tutorial Use": [[147, "tutorial-use"]], "Unable to identify OCP trainer": [[133, "unable-to-identify-ocp-trainer"]], "Understanding the data": [[147, "understanding-the-data"], [149, "understanding-the-data"]], "Unit cell": [[147, "unit-cell"], [149, "unit-cell"]], "Unit cell size": [[153, "unit-cell-size"]], "Unrecognized arguments": [[133, "unrecognized-arguments"]], "Using ASE-Readable Files": [[128, "using-ase-readable-files"]], "Using OCP to enumerate adsorbates on alloy catalyst surfaces": [[151, "using-ocp-to-enumerate-adsorbates-on-alloy-catalyst-surfaces"]], "Using an ASE Database": [[128, "using-an-ase-database"]], "Using pre-trained models in ASE": [[144, "using-pre-trained-models-in-ase"]], "Using the OCP Calculator": [[147, "using-the-ocp-calculator"]], "Validate the Model": [[147, "id6"]], "Validate the model": [[147, "validate-the-model"]], "Version 1, Oct 2020": [[129, "version-1-oct-2020"]], "Version 2, Feb 2021": [[129, "version-2-feb-2021"]], "Viewing a trajectory": [[147, "viewing-a-trajectory"], [149, "viewing-a-trajectory"]], "Viewing results in the web UI": [[142, "viewing-results-in-the-web-ui"]], "Visualize ML-driven relaxations": [[147, "visualize-ml-driven-relaxations"]], "Walkthrough video": [[158, "walkthrough-video"]], "Why model atoms for climate?": [[136, "why-model-atoms-for-climate"]], "Work out a single example": [[151, "work-out-a-single-example"]], "Working with embeddings": [[156, "working-with-embeddings"]], "Write VASP input files": [[154, "write-vasp-input-files"]], "Write data to LMDB": [[138, "write-data-to-lmdb"]], "You need at least four atoms for molecules with some models": [[133, "you-need-at-least-four-atoms-for-molecules-with-some-models"]], "ocp by Open Catalyst Project": [[146, "ocp-by-open-catalyst-project"]], "ocpapi": [[142, "ocpapi"]], "ocpmodels": [[30, "module-ocpmodels"]], "ocpmodels.common": [[6, "module-ocpmodels.common"]], "ocpmodels.common.data_parallel": [[1, "module-ocpmodels.common.data_parallel"]], "ocpmodels.common.distutils": [[2, "module-ocpmodels.common.distutils"]], "ocpmodels.common.flags": [[3, "module-ocpmodels.common.flags"]], "ocpmodels.common.gp_utils": [[4, "module-ocpmodels.common.gp_utils"]], "ocpmodels.common.hpo_utils": [[5, "module-ocpmodels.common.hpo_utils"]], "ocpmodels.common.logger": [[7, "module-ocpmodels.common.logger"]], "ocpmodels.common.registry": [[8, "module-ocpmodels.common.registry"]], "ocpmodels.common.relaxation": [[10, "module-ocpmodels.common.relaxation"]], "ocpmodels.common.relaxation.ase_utils": [[9, "module-ocpmodels.common.relaxation.ase_utils"]], "ocpmodels.common.relaxation.ml_relaxation": [[11, "module-ocpmodels.common.relaxation.ml_relaxation"]], "ocpmodels.common.relaxation.optimizers": [[12, "module-ocpmodels.common.relaxation.optimizers"]], "ocpmodels.common.relaxation.optimizers.lbfgs_torch": [[13, "module-ocpmodels.common.relaxation.optimizers.lbfgs_torch"]], "ocpmodels.common.transforms": [[14, "module-ocpmodels.common.transforms"]], "ocpmodels.common.tutorial_utils": [[15, "module-ocpmodels.common.tutorial_utils"]], "ocpmodels.common.typing": [[16, "module-ocpmodels.common.typing"]], "ocpmodels.common.utils": [[17, "module-ocpmodels.common.utils"]], "ocpmodels.datasets": [[25, "module-ocpmodels.datasets"]], "ocpmodels.datasets._utils": [[18, "module-ocpmodels.datasets._utils"]], "ocpmodels.datasets.ase_datasets": [[19, "module-ocpmodels.datasets.ase_datasets"]], "ocpmodels.datasets.embeddings": [[22, "module-ocpmodels.datasets.embeddings"]], "ocpmodels.datasets.embeddings.atomic_radii": [[20, "module-ocpmodels.datasets.embeddings.atomic_radii"]], "ocpmodels.datasets.embeddings.continuous_embeddings": [[21, "module-ocpmodels.datasets.embeddings.continuous_embeddings"]], "ocpmodels.datasets.embeddings.khot_embeddings": [[23, "module-ocpmodels.datasets.embeddings.khot_embeddings"]], "ocpmodels.datasets.embeddings.qmof_khot_embeddings": [[24, "module-ocpmodels.datasets.embeddings.qmof_khot_embeddings"]], "ocpmodels.datasets.lmdb_database": [[26, "module-ocpmodels.datasets.lmdb_database"]], "ocpmodels.datasets.lmdb_dataset": [[27, "module-ocpmodels.datasets.lmdb_dataset"]], "ocpmodels.datasets.oc22_lmdb_dataset": [[28, "module-ocpmodels.datasets.oc22_lmdb_dataset"]], "ocpmodels.datasets.target_metadata_guesser": [[29, "module-ocpmodels.datasets.target_metadata_guesser"]], "ocpmodels.models": [[95, "module-ocpmodels.models"]], "ocpmodels.models.base": [[31, "module-ocpmodels.models.base"]], "ocpmodels.models.dimenet_plus_plus": [[32, "module-ocpmodels.models.dimenet_plus_plus"]], "ocpmodels.models.equiformer_v2": [[38, "module-ocpmodels.models.equiformer_v2"]], "ocpmodels.models.equiformer_v2.activation": [[33, "module-ocpmodels.models.equiformer_v2.activation"]], "ocpmodels.models.equiformer_v2.drop": [[34, "module-ocpmodels.models.equiformer_v2.drop"]], "ocpmodels.models.equiformer_v2.edge_rot_mat": [[35, "module-ocpmodels.models.equiformer_v2.edge_rot_mat"]], "ocpmodels.models.equiformer_v2.equiformer_v2_oc20": [[36, "module-ocpmodels.models.equiformer_v2.equiformer_v2_oc20"]], "ocpmodels.models.equiformer_v2.gaussian_rbf": [[37, "module-ocpmodels.models.equiformer_v2.gaussian_rbf"]], "ocpmodels.models.equiformer_v2.input_block": [[39, "module-ocpmodels.models.equiformer_v2.input_block"]], "ocpmodels.models.equiformer_v2.layer_norm": [[40, "module-ocpmodels.models.equiformer_v2.layer_norm"]], "ocpmodels.models.equiformer_v2.module_list": [[41, "module-ocpmodels.models.equiformer_v2.module_list"]], "ocpmodels.models.equiformer_v2.radial_function": [[42, "module-ocpmodels.models.equiformer_v2.radial_function"]], "ocpmodels.models.equiformer_v2.so2_ops": [[43, "module-ocpmodels.models.equiformer_v2.so2_ops"]], "ocpmodels.models.equiformer_v2.so3": [[44, "module-ocpmodels.models.equiformer_v2.so3"]], "ocpmodels.models.equiformer_v2.trainers": [[47, "module-ocpmodels.models.equiformer_v2.trainers"]], "ocpmodels.models.equiformer_v2.trainers.energy_trainer": [[45, "module-ocpmodels.models.equiformer_v2.trainers.energy_trainer"]], "ocpmodels.models.equiformer_v2.trainers.forces_trainer": [[46, "module-ocpmodels.models.equiformer_v2.trainers.forces_trainer"]], "ocpmodels.models.equiformer_v2.trainers.lr_scheduler": [[48, "module-ocpmodels.models.equiformer_v2.trainers.lr_scheduler"]], "ocpmodels.models.equiformer_v2.transformer_block": [[49, "module-ocpmodels.models.equiformer_v2.transformer_block"]], "ocpmodels.models.equiformer_v2.wigner": [[50, "module-ocpmodels.models.equiformer_v2.wigner"]], "ocpmodels.models.escn": [[52, "module-ocpmodels.models.escn"]], "ocpmodels.models.escn.escn": [[51, "module-ocpmodels.models.escn.escn"]], "ocpmodels.models.escn.so3": [[53, "module-ocpmodels.models.escn.so3"]], "ocpmodels.models.gemnet": [[55, "module-ocpmodels.models.gemnet"]], "ocpmodels.models.gemnet.gemnet": [[54, "module-ocpmodels.models.gemnet.gemnet"]], "ocpmodels.models.gemnet.initializers": [[56, "module-ocpmodels.models.gemnet.initializers"]], "ocpmodels.models.gemnet.layers": [[62, "module-ocpmodels.models.gemnet.layers"]], "ocpmodels.models.gemnet.layers.atom_update_block": [[57, "module-ocpmodels.models.gemnet.layers.atom_update_block"]], "ocpmodels.models.gemnet.layers.base_layers": [[58, "module-ocpmodels.models.gemnet.layers.base_layers"]], "ocpmodels.models.gemnet.layers.basis_utils": [[59, "module-ocpmodels.models.gemnet.layers.basis_utils"]], "ocpmodels.models.gemnet.layers.efficient": [[60, "module-ocpmodels.models.gemnet.layers.efficient"]], "ocpmodels.models.gemnet.layers.embedding_block": [[61, "module-ocpmodels.models.gemnet.layers.embedding_block"]], "ocpmodels.models.gemnet.layers.interaction_block": [[63, "module-ocpmodels.models.gemnet.layers.interaction_block"]], "ocpmodels.models.gemnet.layers.radial_basis": [[64, "module-ocpmodels.models.gemnet.layers.radial_basis"]], "ocpmodels.models.gemnet.layers.spherical_basis": [[65, "module-ocpmodels.models.gemnet.layers.spherical_basis"]], "ocpmodels.models.gemnet.utils": [[66, "module-ocpmodels.models.gemnet.utils"]], "ocpmodels.models.gemnet_gp": [[68, "module-ocpmodels.models.gemnet_gp"]], "ocpmodels.models.gemnet_gp.gemnet": [[67, "module-ocpmodels.models.gemnet_gp.gemnet"]], "ocpmodels.models.gemnet_gp.initializers": [[69, "module-ocpmodels.models.gemnet_gp.initializers"]], "ocpmodels.models.gemnet_gp.layers": [[75, "module-ocpmodels.models.gemnet_gp.layers"]], "ocpmodels.models.gemnet_gp.layers.atom_update_block": [[70, "module-ocpmodels.models.gemnet_gp.layers.atom_update_block"]], "ocpmodels.models.gemnet_gp.layers.base_layers": [[71, "module-ocpmodels.models.gemnet_gp.layers.base_layers"]], "ocpmodels.models.gemnet_gp.layers.basis_utils": [[72, "module-ocpmodels.models.gemnet_gp.layers.basis_utils"]], "ocpmodels.models.gemnet_gp.layers.efficient": [[73, "module-ocpmodels.models.gemnet_gp.layers.efficient"]], "ocpmodels.models.gemnet_gp.layers.embedding_block": [[74, "module-ocpmodels.models.gemnet_gp.layers.embedding_block"]], "ocpmodels.models.gemnet_gp.layers.interaction_block": [[76, "module-ocpmodels.models.gemnet_gp.layers.interaction_block"]], "ocpmodels.models.gemnet_gp.layers.radial_basis": [[77, "module-ocpmodels.models.gemnet_gp.layers.radial_basis"]], "ocpmodels.models.gemnet_gp.layers.spherical_basis": [[78, "module-ocpmodels.models.gemnet_gp.layers.spherical_basis"]], "ocpmodels.models.gemnet_gp.utils": [[79, "module-ocpmodels.models.gemnet_gp.utils"]], "ocpmodels.models.gemnet_oc": [[81, "module-ocpmodels.models.gemnet_oc"]], "ocpmodels.models.gemnet_oc.gemnet_oc": [[80, "module-ocpmodels.models.gemnet_oc.gemnet_oc"]], "ocpmodels.models.gemnet_oc.initializers": [[82, "module-ocpmodels.models.gemnet_oc.initializers"]], "ocpmodels.models.gemnet_oc.interaction_indices": [[83, "module-ocpmodels.models.gemnet_oc.interaction_indices"]], "ocpmodels.models.gemnet_oc.layers": [[90, "module-ocpmodels.models.gemnet_oc.layers"]], "ocpmodels.models.gemnet_oc.layers.atom_update_block": [[84, "module-ocpmodels.models.gemnet_oc.layers.atom_update_block"]], "ocpmodels.models.gemnet_oc.layers.base_layers": [[85, "module-ocpmodels.models.gemnet_oc.layers.base_layers"]], "ocpmodels.models.gemnet_oc.layers.basis_utils": [[86, "module-ocpmodels.models.gemnet_oc.layers.basis_utils"]], "ocpmodels.models.gemnet_oc.layers.efficient": [[87, "module-ocpmodels.models.gemnet_oc.layers.efficient"]], "ocpmodels.models.gemnet_oc.layers.embedding_block": [[88, "module-ocpmodels.models.gemnet_oc.layers.embedding_block"]], "ocpmodels.models.gemnet_oc.layers.force_scaler": [[89, "module-ocpmodels.models.gemnet_oc.layers.force_scaler"]], "ocpmodels.models.gemnet_oc.layers.interaction_block": [[91, "module-ocpmodels.models.gemnet_oc.layers.interaction_block"]], "ocpmodels.models.gemnet_oc.layers.radial_basis": [[92, "module-ocpmodels.models.gemnet_oc.layers.radial_basis"]], "ocpmodels.models.gemnet_oc.layers.spherical_basis": [[93, "module-ocpmodels.models.gemnet_oc.layers.spherical_basis"]], "ocpmodels.models.gemnet_oc.utils": [[94, "module-ocpmodels.models.gemnet_oc.utils"]], "ocpmodels.models.model_registry": [[96, "module-ocpmodels.models.model_registry"]], "ocpmodels.models.painn": [[97, "module-ocpmodels.models.painn"]], "ocpmodels.models.painn.painn": [[98, "module-ocpmodels.models.painn.painn"]], "ocpmodels.models.painn.utils": [[99, "module-ocpmodels.models.painn.utils"]], "ocpmodels.models.schnet": [[100, "module-ocpmodels.models.schnet"]], "ocpmodels.models.scn": [[101, "module-ocpmodels.models.scn"]], "ocpmodels.models.scn.sampling": [[102, "module-ocpmodels.models.scn.sampling"]], "ocpmodels.models.scn.scn": [[103, "module-ocpmodels.models.scn.scn"]], "ocpmodels.models.scn.smearing": [[104, "module-ocpmodels.models.scn.smearing"]], "ocpmodels.models.scn.spherical_harmonics": [[105, "module-ocpmodels.models.scn.spherical_harmonics"]], "ocpmodels.models.utils": [[108, "module-ocpmodels.models.utils"]], "ocpmodels.models.utils.activations": [[106, "module-ocpmodels.models.utils.activations"]], "ocpmodels.models.utils.basis": [[107, "module-ocpmodels.models.utils.basis"]], "ocpmodels.modules": [[111, "module-ocpmodels.modules"]], "ocpmodels.modules.evaluator": [[109, "module-ocpmodels.modules.evaluator"]], "ocpmodels.modules.exponential_moving_average": [[110, "module-ocpmodels.modules.exponential_moving_average"]], "ocpmodels.modules.loss": [[112, "module-ocpmodels.modules.loss"]], "ocpmodels.modules.normalizer": [[113, "module-ocpmodels.modules.normalizer"]], "ocpmodels.modules.scaling": [[116, "module-ocpmodels.modules.scaling"]], "ocpmodels.modules.scaling.compat": [[114, "module-ocpmodels.modules.scaling.compat"]], "ocpmodels.modules.scaling.fit": [[115, "module-ocpmodels.modules.scaling.fit"]], "ocpmodels.modules.scaling.scale_factor": [[117, "module-ocpmodels.modules.scaling.scale_factor"]], "ocpmodels.modules.scaling.util": [[118, "module-ocpmodels.modules.scaling.util"]], "ocpmodels.modules.scheduler": [[119, "module-ocpmodels.modules.scheduler"]], "ocpmodels.modules.transforms": [[120, "module-ocpmodels.modules.transforms"]], "ocpmodels.preprocessing": [[122, "module-ocpmodels.preprocessing"]], "ocpmodels.preprocessing.atoms_to_graphs": [[121, "module-ocpmodels.preprocessing.atoms_to_graphs"]], "ocpmodels.tasks": [[123, "module-ocpmodels.tasks"]], "ocpmodels.tasks.task": [[124, "module-ocpmodels.tasks.task"]], "ocpmodels.trainers": [[126, "module-ocpmodels.trainers"]], "ocpmodels.trainers.base_trainer": [[125, "module-ocpmodels.trainers.base_trainer"]], "ocpmodels.trainers.ocp_trainer": [[127, "module-ocpmodels.trainers.ocp_trainer"]], "pip (fast, easy to get started)": [[135, "pip-fast-easy-to-get-started"]]}, "docnames": ["autoapi/index", "autoapi/ocpmodels/common/data_parallel/index", "autoapi/ocpmodels/common/distutils/index", "autoapi/ocpmodels/common/flags/index", "autoapi/ocpmodels/common/gp_utils/index", "autoapi/ocpmodels/common/hpo_utils/index", "autoapi/ocpmodels/common/index", "autoapi/ocpmodels/common/logger/index", "autoapi/ocpmodels/common/registry/index", "autoapi/ocpmodels/common/relaxation/ase_utils/index", "autoapi/ocpmodels/common/relaxation/index", "autoapi/ocpmodels/common/relaxation/ml_relaxation/index", "autoapi/ocpmodels/common/relaxation/optimizers/index", "autoapi/ocpmodels/common/relaxation/optimizers/lbfgs_torch/index", "autoapi/ocpmodels/common/transforms/index", "autoapi/ocpmodels/common/tutorial_utils/index", "autoapi/ocpmodels/common/typing/index", "autoapi/ocpmodels/common/utils/index", "autoapi/ocpmodels/datasets/_utils/index", "autoapi/ocpmodels/datasets/ase_datasets/index", "autoapi/ocpmodels/datasets/embeddings/atomic_radii/index", "autoapi/ocpmodels/datasets/embeddings/continuous_embeddings/index", "autoapi/ocpmodels/datasets/embeddings/index", "autoapi/ocpmodels/datasets/embeddings/khot_embeddings/index", "autoapi/ocpmodels/datasets/embeddings/qmof_khot_embeddings/index", "autoapi/ocpmodels/datasets/index", "autoapi/ocpmodels/datasets/lmdb_database/index", "autoapi/ocpmodels/datasets/lmdb_dataset/index", "autoapi/ocpmodels/datasets/oc22_lmdb_dataset/index", "autoapi/ocpmodels/datasets/target_metadata_guesser/index", "autoapi/ocpmodels/index", "autoapi/ocpmodels/models/base/index", "autoapi/ocpmodels/models/dimenet_plus_plus/index", "autoapi/ocpmodels/models/equiformer_v2/activation/index", "autoapi/ocpmodels/models/equiformer_v2/drop/index", "autoapi/ocpmodels/models/equiformer_v2/edge_rot_mat/index", "autoapi/ocpmodels/models/equiformer_v2/equiformer_v2_oc20/index", "autoapi/ocpmodels/models/equiformer_v2/gaussian_rbf/index", "autoapi/ocpmodels/models/equiformer_v2/index", "autoapi/ocpmodels/models/equiformer_v2/input_block/index", "autoapi/ocpmodels/models/equiformer_v2/layer_norm/index", "autoapi/ocpmodels/models/equiformer_v2/module_list/index", "autoapi/ocpmodels/models/equiformer_v2/radial_function/index", "autoapi/ocpmodels/models/equiformer_v2/so2_ops/index", "autoapi/ocpmodels/models/equiformer_v2/so3/index", "autoapi/ocpmodels/models/equiformer_v2/trainers/energy_trainer/index", "autoapi/ocpmodels/models/equiformer_v2/trainers/forces_trainer/index", "autoapi/ocpmodels/models/equiformer_v2/trainers/index", "autoapi/ocpmodels/models/equiformer_v2/trainers/lr_scheduler/index", "autoapi/ocpmodels/models/equiformer_v2/transformer_block/index", "autoapi/ocpmodels/models/equiformer_v2/wigner/index", "autoapi/ocpmodels/models/escn/escn/index", "autoapi/ocpmodels/models/escn/index", "autoapi/ocpmodels/models/escn/so3/index", "autoapi/ocpmodels/models/gemnet/gemnet/index", "autoapi/ocpmodels/models/gemnet/index", "autoapi/ocpmodels/models/gemnet/initializers/index", "autoapi/ocpmodels/models/gemnet/layers/atom_update_block/index", "autoapi/ocpmodels/models/gemnet/layers/base_layers/index", "autoapi/ocpmodels/models/gemnet/layers/basis_utils/index", "autoapi/ocpmodels/models/gemnet/layers/efficient/index", "autoapi/ocpmodels/models/gemnet/layers/embedding_block/index", "autoapi/ocpmodels/models/gemnet/layers/index", "autoapi/ocpmodels/models/gemnet/layers/interaction_block/index", "autoapi/ocpmodels/models/gemnet/layers/radial_basis/index", "autoapi/ocpmodels/models/gemnet/layers/spherical_basis/index", "autoapi/ocpmodels/models/gemnet/utils/index", "autoapi/ocpmodels/models/gemnet_gp/gemnet/index", "autoapi/ocpmodels/models/gemnet_gp/index", "autoapi/ocpmodels/models/gemnet_gp/initializers/index", "autoapi/ocpmodels/models/gemnet_gp/layers/atom_update_block/index", "autoapi/ocpmodels/models/gemnet_gp/layers/base_layers/index", "autoapi/ocpmodels/models/gemnet_gp/layers/basis_utils/index", "autoapi/ocpmodels/models/gemnet_gp/layers/efficient/index", "autoapi/ocpmodels/models/gemnet_gp/layers/embedding_block/index", "autoapi/ocpmodels/models/gemnet_gp/layers/index", "autoapi/ocpmodels/models/gemnet_gp/layers/interaction_block/index", "autoapi/ocpmodels/models/gemnet_gp/layers/radial_basis/index", "autoapi/ocpmodels/models/gemnet_gp/layers/spherical_basis/index", "autoapi/ocpmodels/models/gemnet_gp/utils/index", "autoapi/ocpmodels/models/gemnet_oc/gemnet_oc/index", "autoapi/ocpmodels/models/gemnet_oc/index", "autoapi/ocpmodels/models/gemnet_oc/initializers/index", "autoapi/ocpmodels/models/gemnet_oc/interaction_indices/index", "autoapi/ocpmodels/models/gemnet_oc/layers/atom_update_block/index", "autoapi/ocpmodels/models/gemnet_oc/layers/base_layers/index", "autoapi/ocpmodels/models/gemnet_oc/layers/basis_utils/index", "autoapi/ocpmodels/models/gemnet_oc/layers/efficient/index", "autoapi/ocpmodels/models/gemnet_oc/layers/embedding_block/index", "autoapi/ocpmodels/models/gemnet_oc/layers/force_scaler/index", "autoapi/ocpmodels/models/gemnet_oc/layers/index", "autoapi/ocpmodels/models/gemnet_oc/layers/interaction_block/index", "autoapi/ocpmodels/models/gemnet_oc/layers/radial_basis/index", "autoapi/ocpmodels/models/gemnet_oc/layers/spherical_basis/index", "autoapi/ocpmodels/models/gemnet_oc/utils/index", "autoapi/ocpmodels/models/index", "autoapi/ocpmodels/models/model_registry/index", "autoapi/ocpmodels/models/painn/index", "autoapi/ocpmodels/models/painn/painn/index", "autoapi/ocpmodels/models/painn/utils/index", "autoapi/ocpmodels/models/schnet/index", "autoapi/ocpmodels/models/scn/index", "autoapi/ocpmodels/models/scn/sampling/index", "autoapi/ocpmodels/models/scn/scn/index", "autoapi/ocpmodels/models/scn/smearing/index", "autoapi/ocpmodels/models/scn/spherical_harmonics/index", "autoapi/ocpmodels/models/utils/activations/index", "autoapi/ocpmodels/models/utils/basis/index", "autoapi/ocpmodels/models/utils/index", "autoapi/ocpmodels/modules/evaluator/index", "autoapi/ocpmodels/modules/exponential_moving_average/index", "autoapi/ocpmodels/modules/index", "autoapi/ocpmodels/modules/loss/index", "autoapi/ocpmodels/modules/normalizer/index", "autoapi/ocpmodels/modules/scaling/compat/index", "autoapi/ocpmodels/modules/scaling/fit/index", "autoapi/ocpmodels/modules/scaling/index", "autoapi/ocpmodels/modules/scaling/scale_factor/index", "autoapi/ocpmodels/modules/scaling/util/index", "autoapi/ocpmodels/modules/scheduler/index", "autoapi/ocpmodels/modules/transforms/index", "autoapi/ocpmodels/preprocessing/atoms_to_graphs/index", "autoapi/ocpmodels/preprocessing/index", "autoapi/ocpmodels/tasks/index", "autoapi/ocpmodels/tasks/task/index", "autoapi/ocpmodels/trainers/base_trainer/index", "autoapi/ocpmodels/trainers/index", "autoapi/ocpmodels/trainers/ocp_trainer/index", "core/ase_dataset_creation", "core/datasets/oc20", "core/datasets/oc22", "core/datasets/odac", "core/fine-tuning/fine-tuning-oxides", "core/gotchas", "core/inference", "core/install", "core/intro_series", "core/license", "core/lmdb_dataset_creation", "core/model_checkpoints", "core/model_faq", "core/model_training", "core/ocpapi", "core/papers_using_models", "core/quickstart", "execution_time", "index", "legacy_tutorials/OCP_Tutorial", "legacy_tutorials/data_preprocessing", "legacy_tutorials/data_visualization", "legacy_tutorials/legacy_tutorials", "tutorials/NRR/NRR_example", "tutorials/NRR/NRR_toc", "tutorials/OCP-introduction", "tutorials/adsorbml_walkthrough", "tutorials/advanced/advanced_toc", "tutorials/advanced/embeddings", "tutorials/advanced/fine-tuning-in-python", "tutorials/intro", "videos/technical_talks"], "envversion": {"sphinx": 61, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinxcontrib.bibtex": 9}, "filenames": ["autoapi/index.rst", "autoapi/ocpmodels/common/data_parallel/index.rst", "autoapi/ocpmodels/common/distutils/index.rst", "autoapi/ocpmodels/common/flags/index.rst", "autoapi/ocpmodels/common/gp_utils/index.rst", "autoapi/ocpmodels/common/hpo_utils/index.rst", "autoapi/ocpmodels/common/index.rst", "autoapi/ocpmodels/common/logger/index.rst", "autoapi/ocpmodels/common/registry/index.rst", "autoapi/ocpmodels/common/relaxation/ase_utils/index.rst", "autoapi/ocpmodels/common/relaxation/index.rst", "autoapi/ocpmodels/common/relaxation/ml_relaxation/index.rst", "autoapi/ocpmodels/common/relaxation/optimizers/index.rst", "autoapi/ocpmodels/common/relaxation/optimizers/lbfgs_torch/index.rst", "autoapi/ocpmodels/common/transforms/index.rst", "autoapi/ocpmodels/common/tutorial_utils/index.rst", "autoapi/ocpmodels/common/typing/index.rst", "autoapi/ocpmodels/common/utils/index.rst", "autoapi/ocpmodels/datasets/_utils/index.rst", "autoapi/ocpmodels/datasets/ase_datasets/index.rst", "autoapi/ocpmodels/datasets/embeddings/atomic_radii/index.rst", "autoapi/ocpmodels/datasets/embeddings/continuous_embeddings/index.rst", "autoapi/ocpmodels/datasets/embeddings/index.rst", "autoapi/ocpmodels/datasets/embeddings/khot_embeddings/index.rst", "autoapi/ocpmodels/datasets/embeddings/qmof_khot_embeddings/index.rst", "autoapi/ocpmodels/datasets/index.rst", "autoapi/ocpmodels/datasets/lmdb_database/index.rst", "autoapi/ocpmodels/datasets/lmdb_dataset/index.rst", "autoapi/ocpmodels/datasets/oc22_lmdb_dataset/index.rst", "autoapi/ocpmodels/datasets/target_metadata_guesser/index.rst", "autoapi/ocpmodels/index.rst", "autoapi/ocpmodels/models/base/index.rst", "autoapi/ocpmodels/models/dimenet_plus_plus/index.rst", "autoapi/ocpmodels/models/equiformer_v2/activation/index.rst", "autoapi/ocpmodels/models/equiformer_v2/drop/index.rst", "autoapi/ocpmodels/models/equiformer_v2/edge_rot_mat/index.rst", "autoapi/ocpmodels/models/equiformer_v2/equiformer_v2_oc20/index.rst", "autoapi/ocpmodels/models/equiformer_v2/gaussian_rbf/index.rst", "autoapi/ocpmodels/models/equiformer_v2/index.rst", "autoapi/ocpmodels/models/equiformer_v2/input_block/index.rst", "autoapi/ocpmodels/models/equiformer_v2/layer_norm/index.rst", "autoapi/ocpmodels/models/equiformer_v2/module_list/index.rst", "autoapi/ocpmodels/models/equiformer_v2/radial_function/index.rst", "autoapi/ocpmodels/models/equiformer_v2/so2_ops/index.rst", "autoapi/ocpmodels/models/equiformer_v2/so3/index.rst", "autoapi/ocpmodels/models/equiformer_v2/trainers/energy_trainer/index.rst", "autoapi/ocpmodels/models/equiformer_v2/trainers/forces_trainer/index.rst", "autoapi/ocpmodels/models/equiformer_v2/trainers/index.rst", "autoapi/ocpmodels/models/equiformer_v2/trainers/lr_scheduler/index.rst", "autoapi/ocpmodels/models/equiformer_v2/transformer_block/index.rst", "autoapi/ocpmodels/models/equiformer_v2/wigner/index.rst", "autoapi/ocpmodels/models/escn/escn/index.rst", "autoapi/ocpmodels/models/escn/index.rst", "autoapi/ocpmodels/models/escn/so3/index.rst", "autoapi/ocpmodels/models/gemnet/gemnet/index.rst", "autoapi/ocpmodels/models/gemnet/index.rst", "autoapi/ocpmodels/models/gemnet/initializers/index.rst", "autoapi/ocpmodels/models/gemnet/layers/atom_update_block/index.rst", "autoapi/ocpmodels/models/gemnet/layers/base_layers/index.rst", "autoapi/ocpmodels/models/gemnet/layers/basis_utils/index.rst", "autoapi/ocpmodels/models/gemnet/layers/efficient/index.rst", "autoapi/ocpmodels/models/gemnet/layers/embedding_block/index.rst", "autoapi/ocpmodels/models/gemnet/layers/index.rst", "autoapi/ocpmodels/models/gemnet/layers/interaction_block/index.rst", "autoapi/ocpmodels/models/gemnet/layers/radial_basis/index.rst", "autoapi/ocpmodels/models/gemnet/layers/spherical_basis/index.rst", "autoapi/ocpmodels/models/gemnet/utils/index.rst", "autoapi/ocpmodels/models/gemnet_gp/gemnet/index.rst", "autoapi/ocpmodels/models/gemnet_gp/index.rst", "autoapi/ocpmodels/models/gemnet_gp/initializers/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/atom_update_block/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/base_layers/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/basis_utils/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/efficient/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/embedding_block/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/interaction_block/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/radial_basis/index.rst", "autoapi/ocpmodels/models/gemnet_gp/layers/spherical_basis/index.rst", "autoapi/ocpmodels/models/gemnet_gp/utils/index.rst", "autoapi/ocpmodels/models/gemnet_oc/gemnet_oc/index.rst", "autoapi/ocpmodels/models/gemnet_oc/index.rst", "autoapi/ocpmodels/models/gemnet_oc/initializers/index.rst", "autoapi/ocpmodels/models/gemnet_oc/interaction_indices/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/atom_update_block/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/base_layers/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/basis_utils/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/efficient/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/embedding_block/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/force_scaler/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/interaction_block/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/radial_basis/index.rst", "autoapi/ocpmodels/models/gemnet_oc/layers/spherical_basis/index.rst", "autoapi/ocpmodels/models/gemnet_oc/utils/index.rst", "autoapi/ocpmodels/models/index.rst", "autoapi/ocpmodels/models/model_registry/index.rst", "autoapi/ocpmodels/models/painn/index.rst", "autoapi/ocpmodels/models/painn/painn/index.rst", "autoapi/ocpmodels/models/painn/utils/index.rst", "autoapi/ocpmodels/models/schnet/index.rst", "autoapi/ocpmodels/models/scn/index.rst", "autoapi/ocpmodels/models/scn/sampling/index.rst", "autoapi/ocpmodels/models/scn/scn/index.rst", "autoapi/ocpmodels/models/scn/smearing/index.rst", "autoapi/ocpmodels/models/scn/spherical_harmonics/index.rst", "autoapi/ocpmodels/models/utils/activations/index.rst", "autoapi/ocpmodels/models/utils/basis/index.rst", "autoapi/ocpmodels/models/utils/index.rst", "autoapi/ocpmodels/modules/evaluator/index.rst", "autoapi/ocpmodels/modules/exponential_moving_average/index.rst", "autoapi/ocpmodels/modules/index.rst", "autoapi/ocpmodels/modules/loss/index.rst", "autoapi/ocpmodels/modules/normalizer/index.rst", "autoapi/ocpmodels/modules/scaling/compat/index.rst", "autoapi/ocpmodels/modules/scaling/fit/index.rst", "autoapi/ocpmodels/modules/scaling/index.rst", "autoapi/ocpmodels/modules/scaling/scale_factor/index.rst", "autoapi/ocpmodels/modules/scaling/util/index.rst", "autoapi/ocpmodels/modules/scheduler/index.rst", "autoapi/ocpmodels/modules/transforms/index.rst", "autoapi/ocpmodels/preprocessing/atoms_to_graphs/index.rst", "autoapi/ocpmodels/preprocessing/index.rst", "autoapi/ocpmodels/tasks/index.rst", "autoapi/ocpmodels/tasks/task/index.rst", "autoapi/ocpmodels/trainers/base_trainer/index.rst", "autoapi/ocpmodels/trainers/index.rst", "autoapi/ocpmodels/trainers/ocp_trainer/index.rst", "core/ase_dataset_creation.md", "core/datasets/oc20.md", "core/datasets/oc22.md", "core/datasets/odac.md", "core/fine-tuning/fine-tuning-oxides.md", "core/gotchas.md", "core/inference.md", "core/install.md", "core/intro_series.md", "core/license.md", "core/lmdb_dataset_creation.md", "core/model_checkpoints.md", "core/model_faq.md", "core/model_training.md", "core/ocpapi.md", "core/papers_using_models.md", "core/quickstart.md", "execution_time.md", "index.md", "legacy_tutorials/OCP_Tutorial.md", "legacy_tutorials/data_preprocessing.md", "legacy_tutorials/data_visualization.md", "legacy_tutorials/legacy_tutorials.md", "tutorials/NRR/NRR_example.md", "tutorials/NRR/NRR_toc.md", "tutorials/OCP-introduction.md", "tutorials/adsorbml_walkthrough.md", "tutorials/advanced/advanced_toc.md", "tutorials/advanced/embeddings.md", "tutorials/advanced/fine-tuning-in-python.md", "tutorials/intro.md", "videos/technical_talks.md"], "indexentries": {"__call__() (ocpmodels.common.data_parallel.ocpcollater method)": [[1, "ocpmodels.common.data_parallel.OCPCollater.__call__", false]], "__call__() (ocpmodels.common.transforms.randomrotate method)": [[14, "ocpmodels.common.transforms.RandomRotate.__call__", false]], "__call__() (ocpmodels.common.utils.complete method)": [[17, "ocpmodels.common.utils.Complete.__call__", false]], "__call__() (ocpmodels.models.equiformer_v2.trainers.lr_scheduler.cosinelrlambda method)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda.__call__", false]], "__call__() (ocpmodels.models.equiformer_v2.trainers.lr_scheduler.multisteplrlambda method)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda.__call__", false]], "__call__() (ocpmodels.modules.transforms.datatransforms method)": [[120, "ocpmodels.modules.transforms.DataTransforms.__call__", false]], "__enter__() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase.__enter__", false]], "__enter__() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase.__enter__", false]], "__exit__() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase.__exit__", false]], "__exit__() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase.__exit__", false]], "__getitem__() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset.__getitem__", false]], "__getitem__() (ocpmodels.datasets.lmdb_dataset.lmdbdataset method)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.__getitem__", false]], "__getitem__() (ocpmodels.datasets.lmdbdataset method)": [[25, "ocpmodels.datasets.LmdbDataset.__getitem__", false]], "__getitem__() (ocpmodels.datasets.oc22_lmdb_dataset.oc22lmdbdataset method)": [[28, "ocpmodels.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__getitem__", false]], "__getitem__() (ocpmodels.datasets.oc22lmdbdataset method)": [[25, "ocpmodels.datasets.OC22LmdbDataset.__getitem__", false]], "__import_error() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.__import_error", false]], "__iter__() (ocpmodels.common.data_parallel.balancedbatchsampler method)": [[1, "ocpmodels.common.data_parallel.BalancedBatchSampler.__iter__", false]], "__iter__() (ocpmodels.common.data_parallel.statefuldistributedsampler method)": [[1, "ocpmodels.common.data_parallel.StatefulDistributedSampler.__iter__", false]], "__len__() (ocpmodels.common.data_parallel.balancedbatchsampler method)": [[1, "ocpmodels.common.data_parallel.BalancedBatchSampler.__len__", false]], "__len__() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset.__len__", false]], "__len__() (ocpmodels.datasets.lmdb_dataset.lmdbdataset method)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.__len__", false]], "__len__() (ocpmodels.datasets.lmdbdataset method)": [[25, "ocpmodels.datasets.LmdbDataset.__len__", false]], "__len__() (ocpmodels.datasets.oc22_lmdb_dataset.oc22lmdbdataset method)": [[28, "ocpmodels.datasets.oc22_lmdb_dataset.OC22LmdbDataset.__len__", false]], "__len__() (ocpmodels.datasets.oc22lmdbdataset method)": [[25, "ocpmodels.datasets.OC22LmdbDataset.__len__", false]], "__repr__() (ocpmodels.common.transforms.randomrotate method)": [[14, "ocpmodels.common.transforms.RandomRotate.__repr__", false]], "__repr__() (ocpmodels.models.equiformer_v2.layer_norm.equivariantdegreelayerscale method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.__repr__", false]], "__repr__() (ocpmodels.models.equiformer_v2.layer_norm.equivariantlayernormarray method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.__repr__", false]], "__repr__() (ocpmodels.models.equiformer_v2.layer_norm.equivariantlayernormarraysphericalharmonics method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.__repr__", false]], "__repr__() (ocpmodels.models.equiformer_v2.layer_norm.equivariantrmsnormarraysphericalharmonics method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.__repr__", false]], "__repr__() (ocpmodels.models.equiformer_v2.layer_norm.equivariantrmsnormarraysphericalharmonicsv2 method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.__repr__", false]], "__repr__() (ocpmodels.models.equiformer_v2.module_list.modulelistinfo method)": [[41, "ocpmodels.models.equiformer_v2.module_list.ModuleListInfo.__repr__", false]], "__repr__() (ocpmodels.models.equiformer_v2.so3.coefficientmappingmodule method)": [[44, "ocpmodels.models.equiformer_v2.so3.CoefficientMappingModule.__repr__", false]], "__repr__() (ocpmodels.models.equiformer_v2.so3.so3_linear method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Linear.__repr__", false]], "__repr__() (ocpmodels.models.equiformer_v2.so3.so3_linearv2 method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_LinearV2.__repr__", false]], "__repr__() (ocpmodels.models.painn.painn method)": [[97, "ocpmodels.models.painn.PaiNN.__repr__", false]], "__repr__() (ocpmodels.models.painn.painn.painn method)": [[98, "ocpmodels.models.painn.painn.PaiNN.__repr__", false]], "__version__ (in module ocpmodels)": [[30, "ocpmodels.__version__", false]], "_avg_degree (in module ocpmodels.models.equiformer_v2.equiformer_v2_oc20)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20._AVG_DEGREE", false]], "_avg_num_nodes (in module ocpmodels.models.equiformer_v2.equiformer_v2_oc20)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20._AVG_NUM_NODES", false]], "_backward() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer._backward", false]], "_backward() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer._backward", false]], "_check_consistency() (in module ocpmodels.modules.scaling.scale_factor)": [[117, "ocpmodels.modules.scaling.scale_factor._check_consistency", false]], "_compute_loss() (ocpmodels.trainers.ocp_trainer.ocptrainer method)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer._compute_loss", false]], "_compute_loss() (ocpmodels.trainers.ocptrainer method)": [[126, "ocpmodels.trainers.OCPTrainer._compute_loss", false]], "_compute_metrics() (ocpmodels.trainers.ocp_trainer.ocptrainer method)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer._compute_metrics", false]], "_compute_metrics() (ocpmodels.trainers.ocptrainer method)": [[126, "ocpmodels.trainers.OCPTrainer._compute_metrics", false]], "_data_parallel_group (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._DATA_PARALLEL_GROUP", false]], "_enforce_consistency() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor._enforce_consistency", false]], "_enforce_consistency() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor._enforce_consistency", false]], "_expand_edge() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._expand_edge", false]], "_expand_edge() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._expand_edge", false]], "_forward() (ocpmodels.models.dimenet_plus_plus.dimenetpluspluswrap method)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlusWrap._forward", false]], "_forward() (ocpmodels.models.schnet.schnetwrap method)": [[100, "ocpmodels.models.schnet.SchNetWrap._forward", false]], "_forward() (ocpmodels.trainers.ocp_trainer.ocptrainer method)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer._forward", false]], "_forward() (ocpmodels.trainers.ocptrainer method)": [[126, "ocpmodels.trainers.OCPTrainer._forward", false]], "_forward_helper() (ocpmodels.models.scn.scn.sphericalchannelnetwork method)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork._forward_helper", false]], "_forward_helper() (ocpmodels.models.scn.sphericalchannelnetwork method)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork._forward_helper", false]], "_from_grid() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._from_grid", false]], "_from_grid() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._from_grid", false]], "_gather() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._gather", false]], "_gather_with_padding() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._gather_with_padding", false]], "_get_absolute_mapping() (in module ocpmodels.common.registry)": [[8, "ocpmodels.common.registry._get_absolute_mapping", false]], "_get_neighbors_pymatgen() (ocpmodels.preprocessing.atoms_to_graphs.atomstographs method)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs._get_neighbors_pymatgen", false]], "_get_neighbors_pymatgen() (ocpmodels.preprocessing.atomstographs method)": [[122, "ocpmodels.preprocessing.AtomsToGraphs._get_neighbors_pymatgen", false]], "_get_parameters() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage._get_parameters", false]], "_get_project_root() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils._get_project_root", false]], "_get_row() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._get_row", false]], "_get_row() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._get_row", false]], "_get_row_by_index() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._get_row_by_index", false]], "_get_row_by_index() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._get_row_by_index", false]], "_get_timestamp() (ocpmodels.trainers.base_trainer.basetrainer static method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer._get_timestamp", false]], "_get_timestamp() (ocpmodels.trainers.basetrainer static method)": [[126, "ocpmodels.trainers.BaseTrainer._get_timestamp", false]], "_graph_parallel_group (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._GRAPH_PARALLEL_GROUP", false]], "_grid_act() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._grid_act", false]], "_grid_act() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._grid_act", false]], "_hasmetadata (class in ocpmodels.common.data_parallel)": [[1, "ocpmodels.common.data_parallel._HasMetadata", false]], "_import_local_file() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils._import_local_file", false]], "_init_edge_rot_mat() (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 method)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20._init_edge_rot_mat", false]], "_init_edge_rot_mat() (ocpmodels.models.equiformer_v2.equiformerv2 method)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2._init_edge_rot_mat", false]], "_init_edge_rot_mat() (ocpmodels.models.escn.escn method)": [[52, "ocpmodels.models.escn.eSCN._init_edge_rot_mat", false]], "_init_edge_rot_mat() (ocpmodels.models.escn.escn.escn method)": [[51, "ocpmodels.models.escn.escn.eSCN._init_edge_rot_mat", false]], "_init_edge_rot_mat() (ocpmodels.models.scn.scn.sphericalchannelnetwork method)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork._init_edge_rot_mat", false]], "_init_edge_rot_mat() (ocpmodels.models.scn.sphericalchannelnetwork method)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork._init_edge_rot_mat", false]], "_init_weights() (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 method)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20._init_weights", false]], "_init_weights() (ocpmodels.models.equiformer_v2.equiformerv2 method)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2._init_weights", false]], "_initialize() (ocpmodels.models.escn.so3.so3_grid method)": [[53, "ocpmodels.models.escn.so3.SO3_Grid._initialize", false]], "_jd (in module ocpmodels.models.equiformer_v2.wigner)": [[50, "ocpmodels.models.equiformer_v2.wigner._Jd", false]], "_jd (in module ocpmodels.models.escn.so3)": [[53, "ocpmodels.models.escn.so3._Jd", false]], "_jd (in module ocpmodels.models.scn.spherical_harmonics)": [[105, "ocpmodels.models.scn.spherical_harmonics._Jd", false]], "_l_primary() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._l_primary", false]], "_l_primary() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._l_primary", false]], "_load_dataset() (ocpmodels.common.data_parallel.balancedbatchsampler method)": [[1, "ocpmodels.common.data_parallel.BalancedBatchSampler._load_dataset", false]], "_load_dataset_get_ids() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset._load_dataset_get_ids", false]], "_load_dataset_get_ids() (ocpmodels.datasets.ase_datasets.asedbdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset._load_dataset_get_ids", false]], "_load_dataset_get_ids() (ocpmodels.datasets.ase_datasets.asereaddataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadDataset._load_dataset_get_ids", false]], "_load_dataset_get_ids() (ocpmodels.datasets.ase_datasets.asereadmultistructuredataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadMultiStructureDataset._load_dataset_get_ids", false]], "_load_dataset_get_ids() (ocpmodels.datasets.asedbdataset method)": [[25, "ocpmodels.datasets.AseDBDataset._load_dataset_get_ids", false]], "_load_dataset_get_ids() (ocpmodels.datasets.asereaddataset method)": [[25, "ocpmodels.datasets.AseReadDataset._load_dataset_get_ids", false]], "_load_dataset_get_ids() (ocpmodels.datasets.asereadmultistructuredataset method)": [[25, "ocpmodels.datasets.AseReadMultiStructureDataset._load_dataset_get_ids", false]], "_load_ids() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._load_ids", false]], "_load_ids() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._load_ids", false]], "_load_scale_dict() (in module ocpmodels.modules.scaling.compat)": [[114, "ocpmodels.modules.scaling.compat._load_scale_dict", false]], "_m_primary() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._m_primary", false]], "_m_primary() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._m_primary", false]], "_nextid (ocpmodels.datasets.lmdb_database.lmdbdatabase property)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._nextid", false]], "_nextid (ocpmodels.datasets.lmdbdatabase property)": [[25, "ocpmodels.datasets.LMDBDatabase._nextid", false]], "_observe() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor._observe", false]], "_observe() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor._observe", false]], "_prefilled_input() (in module ocpmodels.modules.scaling.fit)": [[115, "ocpmodels.modules.scaling.fit._prefilled_input", false]], "_process_error() (ocpmodels.tasks.task.traintask method)": [[124, "ocpmodels.tasks.task.TrainTask._process_error", false]], "_process_error() (ocpmodels.tasks.traintask method)": [[123, "ocpmodels.tasks.TrainTask._process_error", false]], "_rank_edge_distances() (ocpmodels.models.scn.scn.sphericalchannelnetwork method)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork._rank_edge_distances", false]], "_rank_edge_distances() (ocpmodels.models.scn.sphericalchannelnetwork method)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork._rank_edge_distances", false]], "_reduce() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._reduce", false]], "_reduce_edge() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._reduce_edge", false]], "_reduce_edge() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._reduce_edge", false]], "_report_incompat_keys() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils._report_incompat_keys", false]], "_reshape_features() (ocpmodels.preprocessing.atoms_to_graphs.atomstographs method)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs._reshape_features", false]], "_reshape_features() (ocpmodels.preprocessing.atomstographs method)": [[122, "ocpmodels.preprocessing.AtomsToGraphs._reshape_features", false]], "_resolve_scale_factor_submodule() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils._resolve_scale_factor_submodule", false]], "_rotate() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._rotate", false]], "_rotate() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._rotate", false]], "_rotate_inv() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding._rotate_inv", false]], "_rotate_inv() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding._rotate_inv", false]], "_select() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._select", false]], "_select() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._select", false]], "_split() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._split", false]], "_split_tensor() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils._split_tensor", false]], "_standardize() (in module ocpmodels.models.gemnet.initializers)": [[56, "ocpmodels.models.gemnet.initializers._standardize", false]], "_standardize() (in module ocpmodels.models.gemnet_gp.initializers)": [[69, "ocpmodels.models.gemnet_gp.initializers._standardize", false]], "_standardize() (in module ocpmodels.models.gemnet_oc.initializers)": [[82, "ocpmodels.models.gemnet_oc.initializers._standardize", false]], "_stats (class in ocpmodels.modules.scaling.scale_factor)": [[117, "ocpmodels.modules.scaling.scale_factor._Stats", false]], "_t (in module ocpmodels.common.typing)": [[16, "ocpmodels.common.typing._T", false]], "_train_batch() (in module ocpmodels.modules.scaling.fit)": [[115, "ocpmodels.modules.scaling.fit._train_batch", false]], "_uniform_init_linear_weights() (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 method)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20._uniform_init_linear_weights", false]], "_uniform_init_linear_weights() (ocpmodels.models.equiformer_v2.equiformerv2 method)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2._uniform_init_linear_weights", false]], "_uniform_init_rad_func_linear_weights() (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 method)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20._uniform_init_rad_func_linear_weights", false]], "_uniform_init_rad_func_linear_weights() (ocpmodels.models.equiformer_v2.equiformerv2 method)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2._uniform_init_rad_func_linear_weights", false]], "_unwrapped_model (ocpmodels.trainers.base_trainer.basetrainer property)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer._unwrapped_model", false]], "_unwrapped_model (ocpmodels.trainers.basetrainer property)": [[126, "ocpmodels.trainers.BaseTrainer._unwrapped_model", false]], "_update() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._update", false]], "_update() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._update", false]], "_write() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._write", false]], "_write() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._write", false]], "_write_deleted_ids() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase._write_deleted_ids", false]], "_write_deleted_ids() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase._write_deleted_ids", false]], "_z_rot_mat() (in module ocpmodels.models.equiformer_v2.wigner)": [[50, "ocpmodels.models.equiformer_v2.wigner._z_rot_mat", false]], "_z_rot_mat() (in module ocpmodels.models.scn.spherical_harmonics)": [[105, "ocpmodels.models.scn.spherical_harmonics._z_rot_mat", false]], "_z_rot_mat() (ocpmodels.models.escn.so3.so3_rotation method)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation._z_rot_mat", false]], "act (class in ocpmodels.models.utils.activations)": [[106, "ocpmodels.models.utils.activations.Act", false]], "add_core_args() (ocpmodels.common.flags.flags method)": [[3, "ocpmodels.common.flags.Flags.add_core_args", false]], "add_edge_distance_to_graph() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.add_edge_distance_to_graph", false]], "aggregate() (ocpmodels.models.painn.painn.painnmessage method)": [[98, "ocpmodels.models.painn.painn.PaiNNMessage.aggregate", false]], "all_gather() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.all_gather", false]], "all_reduce() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.all_reduce", false]], "apply_one_tags() (in module ocpmodels.datasets.ase_datasets)": [[19, "ocpmodels.datasets.ase_datasets.apply_one_tags", false]], "aseatomsadaptor (in module ocpmodels.preprocessing.atoms_to_graphs)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AseAtomsAdaptor", false]], "aseatomsdataset (class in ocpmodels.datasets.ase_datasets)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset", false]], "asedbdataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.AseDBDataset", false]], "asedbdataset (class in ocpmodels.datasets.ase_datasets)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset", false]], "asereaddataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.AseReadDataset", false]], "asereaddataset (class in ocpmodels.datasets.ase_datasets)": [[19, "ocpmodels.datasets.ase_datasets.AseReadDataset", false]], "asereadmultistructuredataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.AseReadMultiStructureDataset", false]], "asereadmultistructuredataset (class in ocpmodels.datasets.ase_datasets)": [[19, "ocpmodels.datasets.ase_datasets.AseReadMultiStructureDataset", false]], "assert_is_instance() (in module ocpmodels.common.typing)": [[16, "ocpmodels.common.typing.assert_is_instance", false]], "associated_legendre_polynomials() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.associated_legendre_polynomials", false]], "associated_legendre_polynomials() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.associated_legendre_polynomials", false]], "associated_legendre_polynomials() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.associated_legendre_polynomials", false]], "atomembedding (class in ocpmodels.models.gemnet.layers.embedding_block)": [[61, "ocpmodels.models.gemnet.layers.embedding_block.AtomEmbedding", false]], "atomembedding (class in ocpmodels.models.gemnet_gp.layers.embedding_block)": [[74, "ocpmodels.models.gemnet_gp.layers.embedding_block.AtomEmbedding", false]], "atomembedding (class in ocpmodels.models.gemnet_oc.layers.embedding_block)": [[88, "ocpmodels.models.gemnet_oc.layers.embedding_block.AtomEmbedding", false]], "atomic_radii (in module ocpmodels.datasets.embeddings)": [[22, "ocpmodels.datasets.embeddings.ATOMIC_RADII", false]], "atomic_radii (in module ocpmodels.datasets.embeddings.atomic_radii)": [[20, "ocpmodels.datasets.embeddings.atomic_radii.ATOMIC_RADII", false]], "atomstographs (class in ocpmodels.preprocessing)": [[122, "ocpmodels.preprocessing.AtomsToGraphs", false]], "atomstographs (class in ocpmodels.preprocessing.atoms_to_graphs)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs", false]], "atomupdateblock (class in ocpmodels.models.gemnet.layers.atom_update_block)": [[57, "ocpmodels.models.gemnet.layers.atom_update_block.AtomUpdateBlock", false]], "atomupdateblock (class in ocpmodels.models.gemnet_gp.layers.atom_update_block)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock", false]], "atomupdateblock (class in ocpmodels.models.gemnet_oc.layers.atom_update_block)": [[84, "ocpmodels.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock", false]], "atomwisel2loss (class in ocpmodels.modules.loss)": [[112, "ocpmodels.modules.loss.AtomwiseL2Loss", false]], "available_pretrained_models (in module ocpmodels.models)": [[95, "ocpmodels.models.available_pretrained_models", false]], "available_pretrained_models (in module ocpmodels.models.model_registry)": [[96, "ocpmodels.models.model_registry.available_pretrained_models", false]], "average_distance_within_threshold() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.average_distance_within_threshold", false]], "backward() (ocpmodels.common.gp_utils.copytomodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.CopyToModelParallelRegion.backward", false]], "backward() (ocpmodels.common.gp_utils.gatherfrommodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.GatherFromModelParallelRegion.backward", false]], "backward() (ocpmodels.common.gp_utils.reducefrommodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.ReduceFromModelParallelRegion.backward", false]], "backward() (ocpmodels.common.gp_utils.scattertomodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.ScatterToModelParallelRegion.backward", false]], "balanced_partition() (in module ocpmodels.common.data_parallel)": [[1, "ocpmodels.common.data_parallel.balanced_partition", false]], "balancedbatchsampler (class in ocpmodels.common.data_parallel)": [[1, "ocpmodels.common.data_parallel.BalancedBatchSampler", false]], "basemodel (class in ocpmodels.models.base)": [[31, "ocpmodels.models.base.BaseModel", false]], "basetask (class in ocpmodels.tasks.task)": [[124, "ocpmodels.tasks.task.BaseTask", false]], "basetrainer (class in ocpmodels.trainers)": [[126, "ocpmodels.trainers.BaseTrainer", false]], "basetrainer (class in ocpmodels.trainers.base_trainer)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer", false]], "basis (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.Basis", false]], "basisembedding (class in ocpmodels.models.gemnet_oc.layers.efficient)": [[87, "ocpmodels.models.gemnet_oc.layers.efficient.BasisEmbedding", false]], "batch_to_atoms() (in module ocpmodels.common.relaxation.ase_utils)": [[9, "ocpmodels.common.relaxation.ase_utils.batch_to_atoms", false]], "bernsteinbasis (class in ocpmodels.models.gemnet.layers.radial_basis)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.BernsteinBasis", false]], "bernsteinbasis (class in ocpmodels.models.gemnet_gp.layers.radial_basis)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.BernsteinBasis", false]], "bernsteinbasis (class in ocpmodels.models.gemnet_oc.layers.radial_basis)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.BernsteinBasis", false]], "bessel_basis() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.bessel_basis", false]], "bessel_basis() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.bessel_basis", false]], "bessel_basis() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.bessel_basis", false]], "broadcast() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.broadcast", false]], "build_config() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.build_config", false]], "calc_forces() (ocpmodels.models.gemnet_oc.layers.force_scaler.forcescaler method)": [[89, "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces", false]], "calc_forces_and_update() (ocpmodels.models.gemnet_oc.layers.force_scaler.forcescaler method)": [[89, "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler.calc_forces_and_update", false]], "calcspherepoints() (in module ocpmodels.models.scn.sampling)": [[102, "ocpmodels.models.scn.sampling.CalcSpherePoints", false]], "calcspherepointsrandom() (in module ocpmodels.models.scn.sampling)": [[102, "ocpmodels.models.scn.sampling.CalcSpherePointsRandom", false]], "calculate() (ocpmodels.common.relaxation.ase_utils.ocpcalculator method)": [[9, "ocpmodels.common.relaxation.ase_utils.OCPCalculator.calculate", false]], "calculate_interatomic_vectors() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.calculate_interatomic_vectors", false]], "calculate_interatomic_vectors() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.calculate_interatomic_vectors", false]], "calculate_interatomic_vectors() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.calculate_interatomic_vectors", false]], "calculate_quad_angles() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.calculate_quad_angles", false]], "calculate_quad_angles() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.calculate_quad_angles", false]], "cg_change_mat() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.cg_change_mat", false]], "check_convergence() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.lbfgs method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS.check_convergence", false]], "check_traj_files() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.check_traj_files", false]], "circularbasislayer (class in ocpmodels.models.gemnet.layers.spherical_basis)": [[65, "ocpmodels.models.gemnet.layers.spherical_basis.CircularBasisLayer", false]], "circularbasislayer (class in ocpmodels.models.gemnet_gp.layers.spherical_basis)": [[78, "ocpmodels.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer", false]], "circularbasislayer (class in ocpmodels.models.gemnet_oc.layers.spherical_basis)": [[93, "ocpmodels.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer", false]], "cleanup() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.cleanup", false]], "cleanup_gp() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.cleanup_gp", false]], "clone() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding.clone", false]], "clone() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding.clone", false]], "close() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase.close", false]], "close() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase.close", false]], "close_db() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset.close_db", false]], "close_db() (ocpmodels.datasets.ase_datasets.asedbdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset.close_db", false]], "close_db() (ocpmodels.datasets.asedbdataset method)": [[25, "ocpmodels.datasets.AseDBDataset.close_db", false]], "close_db() (ocpmodels.datasets.lmdb_dataset.lmdbdataset method)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.close_db", false]], "close_db() (ocpmodels.datasets.lmdbdataset method)": [[25, "ocpmodels.datasets.LmdbDataset.close_db", false]], "close_db() (ocpmodels.datasets.oc22_lmdb_dataset.oc22lmdbdataset method)": [[28, "ocpmodels.datasets.oc22_lmdb_dataset.OC22LmdbDataset.close_db", false]], "close_db() (ocpmodels.datasets.oc22lmdbdataset method)": [[25, "ocpmodels.datasets.OC22LmdbDataset.close_db", false]], "coefficient_idx() (ocpmodels.models.equiformer_v2.so3.coefficientmappingmodule method)": [[44, "ocpmodels.models.equiformer_v2.so3.CoefficientMappingModule.coefficient_idx", false]], "coefficient_idx() (ocpmodels.models.escn.so3.coefficientmapping method)": [[53, "ocpmodels.models.escn.so3.CoefficientMapping.coefficient_idx", false]], "coefficientmapping (class in ocpmodels.models.escn.so3)": [[53, "ocpmodels.models.escn.so3.CoefficientMapping", false]], "coefficientmappingmodule (class in ocpmodels.models.equiformer_v2.so3)": [[44, "ocpmodels.models.equiformer_v2.so3.CoefficientMappingModule", false]], "collate() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.collate", false]], "combineyrotations() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.CombineYRotations", false]], "complete (class in ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.Complete", false]], "complex_idx() (ocpmodels.models.equiformer_v2.so3.coefficientmappingmodule method)": [[44, "ocpmodels.models.equiformer_v2.so3.CoefficientMappingModule.complex_idx", false]], "complex_idx() (ocpmodels.models.escn.so3.coefficientmapping method)": [[53, "ocpmodels.models.escn.so3.CoefficientMapping.complex_idx", false]], "compute_neighbors() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.compute_neighbors", false]], "conditional_grad() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.conditional_grad", false]], "connect_db() (ocpmodels.datasets.ase_datasets.asedbdataset static method)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset.connect_db", false]], "connect_db() (ocpmodels.datasets.asedbdataset static method)": [[25, "ocpmodels.datasets.AseDBDataset.connect_db", false]], "connect_db() (ocpmodels.datasets.lmdb_dataset.lmdbdataset method)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.connect_db", false]], "connect_db() (ocpmodels.datasets.lmdbdataset method)": [[25, "ocpmodels.datasets.LmdbDataset.connect_db", false]], "connect_db() (ocpmodels.datasets.oc22_lmdb_dataset.oc22lmdbdataset method)": [[28, "ocpmodels.datasets.oc22_lmdb_dataset.OC22LmdbDataset.connect_db", false]], "connect_db() (ocpmodels.datasets.oc22lmdbdataset method)": [[25, "ocpmodels.datasets.OC22LmdbDataset.connect_db", false]], "continuous_embeddings (in module ocpmodels.datasets.embeddings)": [[22, "ocpmodels.datasets.embeddings.CONTINUOUS_EMBEDDINGS", false]], "continuous_embeddings (in module ocpmodels.datasets.embeddings.continuous_embeddings)": [[21, "ocpmodels.datasets.embeddings.continuous_embeddings.CONTINUOUS_EMBEDDINGS", false]], "convert() (ocpmodels.preprocessing.atoms_to_graphs.atomstographs method)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.convert", false]], "convert() (ocpmodels.preprocessing.atomstographs method)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.convert", false]], "convert_all() (ocpmodels.preprocessing.atoms_to_graphs.atomstographs method)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.convert_all", false]], "convert_all() (ocpmodels.preprocessing.atomstographs method)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.convert_all", false]], "copy_to() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage.copy_to", false]], "copy_to_model_parallel_region() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.copy_to_model_parallel_region", false]], "copytomodelparallelregion (class in ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.CopyToModelParallelRegion", false]], "cosine_lr_lambda() (in module ocpmodels.models.equiformer_v2.trainers.lr_scheduler)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.cosine_lr_lambda", false]], "cosine_similarity() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.cosine_similarity", false]], "cosinelrlambda (class in ocpmodels.models.equiformer_v2.trainers.lr_scheduler)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda", false]], "count() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase.count", false]], "count() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase.count", false]], "create_dict_from_args() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.create_dict_from_args", false]], "create_grid() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.create_grid", false]], "data_list_collater() (in module ocpmodels.datasets)": [[25, "ocpmodels.datasets.data_list_collater", false]], "data_list_collater() (in module ocpmodels.datasets.lmdb_dataset)": [[27, "ocpmodels.datasets.lmdb_dataset.data_list_collater", false]], "datatransforms (class in ocpmodels.modules.transforms)": [[120, "ocpmodels.modules.transforms.DataTransforms", false]], "ddploss (class in ocpmodels.modules.loss)": [[112, "ocpmodels.modules.loss.DDPLoss", false]], "decompose_tensor() (in module ocpmodels.modules.transforms)": [[120, "ocpmodels.modules.transforms.decompose_tensor", false]], "delete() (ocpmodels.datasets.lmdb_database.lmdbdatabase method)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase.delete", false]], "delete() (ocpmodels.datasets.lmdbdatabase method)": [[25, "ocpmodels.datasets.LMDBDatabase.delete", false]], "denorm() (ocpmodels.modules.normalizer.normalizer method)": [[113, "ocpmodels.modules.normalizer.Normalizer.denorm", false]], "dense (class in ocpmodels.models.gemnet.layers.base_layers)": [[58, "ocpmodels.models.gemnet.layers.base_layers.Dense", false]], "dense (class in ocpmodels.models.gemnet_gp.layers.base_layers)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.Dense", false]], "dense (class in ocpmodels.models.gemnet_oc.layers.base_layers)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.Dense", false]], "dense_rbf_f (ocpmodels.models.gemnet_gp.layers.atom_update_block.outputblock attribute)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock.dense_rbf_F", false]], "describe_ocp() (in module ocpmodels.common.tutorial_utils)": [[15, "ocpmodels.common.tutorial_utils.describe_ocp", false]], "dict_set_recursively() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.dict_set_recursively", false]], "dimenetplusplus (class in ocpmodels.models.dimenet_plus_plus)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlus", false]], "dimenetpluspluswrap (class in ocpmodels.models.dimenet_plus_plus)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlusWrap", false]], "distanceblock (class in ocpmodels.models.scn.scn)": [[103, "ocpmodels.models.scn.scn.DistanceBlock", false]], "divide_and_check_no_remainder() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.divide_and_check_no_remainder", false]], "drop_path() (in module ocpmodels.models.equiformer_v2.drop)": [[34, "ocpmodels.models.equiformer_v2.drop.drop_path", false]], "droppath (class in ocpmodels.models.equiformer_v2.drop)": [[34, "ocpmodels.models.equiformer_v2.drop.DropPath", false]], "edgeblock (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.EdgeBlock", false]], "edgeblock (class in ocpmodels.models.scn.scn)": [[103, "ocpmodels.models.scn.scn.EdgeBlock", false]], "edgedegreeembedding (class in ocpmodels.models.equiformer_v2.input_block)": [[39, "ocpmodels.models.equiformer_v2.input_block.EdgeDegreeEmbedding", false]], "edgeembedding (class in ocpmodels.models.gemnet.layers.embedding_block)": [[61, "ocpmodels.models.gemnet.layers.embedding_block.EdgeEmbedding", false]], "edgeembedding (class in ocpmodels.models.gemnet_gp.layers.embedding_block)": [[74, "ocpmodels.models.gemnet_gp.layers.embedding_block.EdgeEmbedding", false]], "edgeembedding (class in ocpmodels.models.gemnet_oc.layers.embedding_block)": [[88, "ocpmodels.models.gemnet_oc.layers.embedding_block.EdgeEmbedding", false]], "efficientinteractionbilinear (class in ocpmodels.models.gemnet.layers.efficient)": [[60, "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionBilinear", false]], "efficientinteractionbilinear (class in ocpmodels.models.gemnet_gp.layers.efficient)": [[73, "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear", false]], "efficientinteractionbilinear (class in ocpmodels.models.gemnet_oc.layers.efficient)": [[87, "ocpmodels.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear", false]], "efficientinteractiondownprojection (class in ocpmodels.models.gemnet.layers.efficient)": [[60, "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionDownProjection", false]], "efficientinteractiondownprojection (class in ocpmodels.models.gemnet_gp.layers.efficient)": [[73, "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection", false]], "energy_fc1 (ocpmodels.models.scn.scn.sphericalchannelnetwork attribute)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.energy_fc1", false]], "energy_fc1 (ocpmodels.models.scn.sphericalchannelnetwork attribute)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.energy_fc1", false]], "energy_fc2 (ocpmodels.models.scn.scn.sphericalchannelnetwork attribute)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.energy_fc2", false]], "energy_fc2 (ocpmodels.models.scn.sphericalchannelnetwork attribute)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.energy_fc2", false]], "energy_fc3 (ocpmodels.models.scn.scn.sphericalchannelnetwork attribute)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.energy_fc3", false]], "energy_fc3 (ocpmodels.models.scn.sphericalchannelnetwork attribute)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.energy_fc3", false]], "energy_forces_within_threshold() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.energy_forces_within_threshold", false]], "energy_within_threshold() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.energy_within_threshold", false]], "energyblock (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.EnergyBlock", false]], "ensure_div() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.ensure_div", false]], "ensure_fitted() (in module ocpmodels.modules.scaling.util)": [[118, "ocpmodels.modules.scaling.util.ensure_fitted", false]], "equiformerv2 (class in ocpmodels.models.equiformer_v2)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2", false]], "equiformerv2_oc20 (class in ocpmodels.models.equiformer_v2.equiformer_v2_oc20)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20", false]], "equiformerv2energytrainer (class in ocpmodels.models.equiformer_v2.trainers.energy_trainer)": [[45, "ocpmodels.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer", false]], "equiformerv2forcestrainer (class in ocpmodels.models.equiformer_v2.trainers.forces_trainer)": [[46, "ocpmodels.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer", false]], "equivariantdegreelayerscale (class in ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale", false]], "equivariantdropout (class in ocpmodels.models.equiformer_v2.drop)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantDropout", false]], "equivariantdropoutarraysphericalharmonics (class in ocpmodels.models.equiformer_v2.drop)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics", false]], "equivariantlayernormarray (class in ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArray", false]], "equivariantlayernormarraysphericalharmonics (class in ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics", false]], "equivariantrmsnormarraysphericalharmonics (class in ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics", false]], "equivariantrmsnormarraysphericalharmonicsv2 (class in ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2", false]], "equivariantscalarsdropout (class in ocpmodels.models.equiformer_v2.drop)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantScalarsDropout", false]], "escn (class in ocpmodels.models.escn)": [[52, "ocpmodels.models.escn.eSCN", false]], "escn (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.eSCN", false]], "eval() (ocpmodels.modules.evaluator.evaluator method)": [[109, "ocpmodels.modules.evaluator.Evaluator.eval", false]], "evaluator (class in ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.Evaluator", false]], "expand_edge() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding.expand_edge", false]], "expand_edge() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding.expand_edge", false]], "exponentialenvelope (class in ocpmodels.models.gemnet.layers.radial_basis)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.ExponentialEnvelope", false]], "exponentialenvelope (class in ocpmodels.models.gemnet_gp.layers.radial_basis)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope", false]], "exponentialenvelope (class in ocpmodels.models.gemnet_oc.layers.radial_basis)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope", false]], "exponentialmovingaverage (class in ocpmodels.modules.exponential_moving_average)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage", false]], "extra_repr() (ocpmodels.models.equiformer_v2.activation.scaledsilu method)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSiLU.extra_repr", false]], "extra_repr() (ocpmodels.models.equiformer_v2.activation.scaledsmoothleakyrelu method)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.extra_repr", false]], "extra_repr() (ocpmodels.models.equiformer_v2.activation.smoothleakyrelu method)": [[33, "ocpmodels.models.equiformer_v2.activation.SmoothLeakyReLU.extra_repr", false]], "extra_repr() (ocpmodels.models.equiformer_v2.drop.droppath method)": [[34, "ocpmodels.models.equiformer_v2.drop.DropPath.extra_repr", false]], "extra_repr() (ocpmodels.models.equiformer_v2.drop.equivariantdropoutarraysphericalharmonics method)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.extra_repr", false]], "extra_repr() (ocpmodels.models.equiformer_v2.drop.equivariantscalarsdropout method)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantScalarsDropout.extra_repr", false]], "extra_repr() (ocpmodels.models.equiformer_v2.drop.graphdroppath method)": [[34, "ocpmodels.models.equiformer_v2.drop.GraphDropPath.extra_repr", false]], "extra_repr() (ocpmodels.models.equiformer_v2.gaussian_rbf.gaussianradialbasislayer method)": [[37, "ocpmodels.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.extra_repr", false]], "feedforwardnetwork (class in ocpmodels.models.equiformer_v2.transformer_block)": [[49, "ocpmodels.models.equiformer_v2.transformer_block.FeedForwardNetwork", false]], "filter() (ocpmodels.common.utils.severitylevelbetween method)": [[17, "ocpmodels.common.utils.SeverityLevelBetween.filter", false]], "filter_kwargs() (ocpmodels.models.equiformer_v2.trainers.lr_scheduler.lrscheduler method)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.filter_kwargs", false]], "filter_kwargs() (ocpmodels.modules.scheduler.lrscheduler method)": [[119, "ocpmodels.modules.scheduler.LRScheduler.filter_kwargs", false]], "fit_() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.fit_", false]], "fit_() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor.fit_", false]], "fit_context_() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.fit_context_", false]], "fit_context_() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor.fit_context_", false]], "fitted (ocpmodels.modules.scaling.scale_factor.scalefactor property)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.fitted", false]], "fitted (ocpmodels.modules.scaling.scalefactor property)": [[116, "ocpmodels.modules.scaling.ScaleFactor.fitted", false]], "flags (class in ocpmodels.common.flags)": [[3, "ocpmodels.common.flags.Flags", false]], "flags (in module ocpmodels.common.flags)": [[3, "ocpmodels.common.flags.flags", false]], "flipgrid() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.FlipGrid", false]], "force_fc1 (ocpmodels.models.scn.scn.sphericalchannelnetwork attribute)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.force_fc1", false]], "force_fc1 (ocpmodels.models.scn.sphericalchannelnetwork attribute)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.force_fc1", false]], "force_fc2 (ocpmodels.models.scn.scn.sphericalchannelnetwork attribute)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.force_fc2", false]], "force_fc2 (ocpmodels.models.scn.sphericalchannelnetwork attribute)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.force_fc2", false]], "force_fc3 (ocpmodels.models.scn.scn.sphericalchannelnetwork attribute)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.force_fc3", false]], "force_fc3 (ocpmodels.models.scn.sphericalchannelnetwork attribute)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.force_fc3", false]], "forceblock (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.ForceBlock", false]], "forcescaler (class in ocpmodels.models.gemnet_oc.layers.force_scaler)": [[89, "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler", false]], "forcesx_mae() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.forcesx_mae", false]], "forcesx_mse() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.forcesx_mse", false]], "forcesy_mae() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.forcesy_mae", false]], "forcesy_mse() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.forcesy_mse", false]], "forcesz_mae() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.forcesz_mae", false]], "forcesz_mse() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.forcesz_mse", false]], "forward() (ocpmodels.common.gp_utils.copytomodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.CopyToModelParallelRegion.forward", false]], "forward() (ocpmodels.common.gp_utils.gatherfrommodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.GatherFromModelParallelRegion.forward", false]], "forward() (ocpmodels.common.gp_utils.reducefrommodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.ReduceFromModelParallelRegion.forward", false]], "forward() (ocpmodels.common.gp_utils.scattertomodelparallelregion static method)": [[4, "ocpmodels.common.gp_utils.ScatterToModelParallelRegion.forward", false]], "forward() (ocpmodels.models.base.basemodel method)": [[31, "ocpmodels.models.base.BaseModel.forward", false]], "forward() (ocpmodels.models.dimenet_plus_plus.dimenetplusplus method)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlus.forward", false]], "forward() (ocpmodels.models.dimenet_plus_plus.dimenetpluspluswrap method)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlusWrap.forward", false]], "forward() (ocpmodels.models.dimenet_plus_plus.interactionppblock method)": [[32, "ocpmodels.models.dimenet_plus_plus.InteractionPPBlock.forward", false]], "forward() (ocpmodels.models.dimenet_plus_plus.outputppblock method)": [[32, "ocpmodels.models.dimenet_plus_plus.OutputPPBlock.forward", false]], "forward() (ocpmodels.models.equiformer_v2.activation.gateactivation method)": [[33, "ocpmodels.models.equiformer_v2.activation.GateActivation.forward", false]], "forward() (ocpmodels.models.equiformer_v2.activation.s2activation method)": [[33, "ocpmodels.models.equiformer_v2.activation.S2Activation.forward", false]], "forward() (ocpmodels.models.equiformer_v2.activation.scaledsigmoid method)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSigmoid.forward", false]], "forward() (ocpmodels.models.equiformer_v2.activation.scaledsilu method)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSiLU.forward", false]], "forward() (ocpmodels.models.equiformer_v2.activation.scaledsmoothleakyrelu method)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSmoothLeakyReLU.forward", false]], "forward() (ocpmodels.models.equiformer_v2.activation.scaledswiglu method)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSwiGLU.forward", false]], "forward() (ocpmodels.models.equiformer_v2.activation.separables2activation method)": [[33, "ocpmodels.models.equiformer_v2.activation.SeparableS2Activation.forward", false]], "forward() (ocpmodels.models.equiformer_v2.activation.smoothleakyrelu method)": [[33, "ocpmodels.models.equiformer_v2.activation.SmoothLeakyReLU.forward", false]], "forward() (ocpmodels.models.equiformer_v2.activation.swiglu method)": [[33, "ocpmodels.models.equiformer_v2.activation.SwiGLU.forward", false]], "forward() (ocpmodels.models.equiformer_v2.drop.droppath method)": [[34, "ocpmodels.models.equiformer_v2.drop.DropPath.forward", false]], "forward() (ocpmodels.models.equiformer_v2.drop.equivariantdropout method)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantDropout.forward", false]], "forward() (ocpmodels.models.equiformer_v2.drop.equivariantdropoutarraysphericalharmonics method)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics.forward", false]], "forward() (ocpmodels.models.equiformer_v2.drop.equivariantscalarsdropout method)": [[34, "ocpmodels.models.equiformer_v2.drop.EquivariantScalarsDropout.forward", false]], "forward() (ocpmodels.models.equiformer_v2.drop.graphdroppath method)": [[34, "ocpmodels.models.equiformer_v2.drop.GraphDropPath.forward", false]], "forward() (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 method)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20.forward", false]], "forward() (ocpmodels.models.equiformer_v2.equiformerv2 method)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2.forward", false]], "forward() (ocpmodels.models.equiformer_v2.gaussian_rbf.gaussianradialbasislayer method)": [[37, "ocpmodels.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer.forward", false]], "forward() (ocpmodels.models.equiformer_v2.input_block.edgedegreeembedding method)": [[39, "ocpmodels.models.equiformer_v2.input_block.EdgeDegreeEmbedding.forward", false]], "forward() (ocpmodels.models.equiformer_v2.layer_norm.equivariantdegreelayerscale method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale.forward", false]], "forward() (ocpmodels.models.equiformer_v2.layer_norm.equivariantlayernormarray method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArray.forward", false]], "forward() (ocpmodels.models.equiformer_v2.layer_norm.equivariantlayernormarraysphericalharmonics method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics.forward", false]], "forward() (ocpmodels.models.equiformer_v2.layer_norm.equivariantrmsnormarraysphericalharmonics method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics.forward", false]], "forward() (ocpmodels.models.equiformer_v2.layer_norm.equivariantrmsnormarraysphericalharmonicsv2 method)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2.forward", false]], "forward() (ocpmodels.models.equiformer_v2.radial_function.radialfunction method)": [[42, "ocpmodels.models.equiformer_v2.radial_function.RadialFunction.forward", false]], "forward() (ocpmodels.models.equiformer_v2.so2_ops.so2_convolution method)": [[43, "ocpmodels.models.equiformer_v2.so2_ops.SO2_Convolution.forward", false]], "forward() (ocpmodels.models.equiformer_v2.so2_ops.so2_linear method)": [[43, "ocpmodels.models.equiformer_v2.so2_ops.SO2_Linear.forward", false]], "forward() (ocpmodels.models.equiformer_v2.so2_ops.so2_m_convolution method)": [[43, "ocpmodels.models.equiformer_v2.so2_ops.SO2_m_Convolution.forward", false]], "forward() (ocpmodels.models.equiformer_v2.so3.so3_linear method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Linear.forward", false]], "forward() (ocpmodels.models.equiformer_v2.so3.so3_linearv2 method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_LinearV2.forward", false]], "forward() (ocpmodels.models.equiformer_v2.transformer_block.feedforwardnetwork method)": [[49, "ocpmodels.models.equiformer_v2.transformer_block.FeedForwardNetwork.forward", false]], "forward() (ocpmodels.models.equiformer_v2.transformer_block.so2equivariantgraphattention method)": [[49, "ocpmodels.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention.forward", false]], "forward() (ocpmodels.models.equiformer_v2.transformer_block.transblockv2 method)": [[49, "ocpmodels.models.equiformer_v2.transformer_block.TransBlockV2.forward", false]], "forward() (ocpmodels.models.escn.escn method)": [[52, "ocpmodels.models.escn.eSCN.forward", false]], "forward() (ocpmodels.models.escn.escn.edgeblock method)": [[51, "ocpmodels.models.escn.escn.EdgeBlock.forward", false]], "forward() (ocpmodels.models.escn.escn.energyblock method)": [[51, "ocpmodels.models.escn.escn.EnergyBlock.forward", false]], "forward() (ocpmodels.models.escn.escn.escn method)": [[51, "ocpmodels.models.escn.escn.eSCN.forward", false]], "forward() (ocpmodels.models.escn.escn.forceblock method)": [[51, "ocpmodels.models.escn.escn.ForceBlock.forward", false]], "forward() (ocpmodels.models.escn.escn.layerblock method)": [[51, "ocpmodels.models.escn.escn.LayerBlock.forward", false]], "forward() (ocpmodels.models.escn.escn.messageblock method)": [[51, "ocpmodels.models.escn.escn.MessageBlock.forward", false]], "forward() (ocpmodels.models.escn.escn.so2block method)": [[51, "ocpmodels.models.escn.escn.SO2Block.forward", false]], "forward() (ocpmodels.models.escn.escn.so2conv method)": [[51, "ocpmodels.models.escn.escn.SO2Conv.forward", false]], "forward() (ocpmodels.models.gemnet.gemnet.gemnett method)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.forward", false]], "forward() (ocpmodels.models.gemnet.gemnett method)": [[55, "ocpmodels.models.gemnet.GemNetT.forward", false]], "forward() (ocpmodels.models.gemnet.layers.atom_update_block.atomupdateblock method)": [[57, "ocpmodels.models.gemnet.layers.atom_update_block.AtomUpdateBlock.forward", false]], "forward() (ocpmodels.models.gemnet.layers.atom_update_block.outputblock method)": [[57, "ocpmodels.models.gemnet.layers.atom_update_block.OutputBlock.forward", false]], "forward() (ocpmodels.models.gemnet.layers.base_layers.dense method)": [[58, "ocpmodels.models.gemnet.layers.base_layers.Dense.forward", false]], "forward() (ocpmodels.models.gemnet.layers.base_layers.residuallayer method)": [[58, "ocpmodels.models.gemnet.layers.base_layers.ResidualLayer.forward", false]], "forward() (ocpmodels.models.gemnet.layers.base_layers.scaledsilu method)": [[58, "ocpmodels.models.gemnet.layers.base_layers.ScaledSiLU.forward", false]], "forward() (ocpmodels.models.gemnet.layers.base_layers.siqu method)": [[58, "ocpmodels.models.gemnet.layers.base_layers.SiQU.forward", false]], "forward() (ocpmodels.models.gemnet.layers.efficient.efficientinteractionbilinear method)": [[60, "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionBilinear.forward", false]], "forward() (ocpmodels.models.gemnet.layers.efficient.efficientinteractiondownprojection method)": [[60, "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionDownProjection.forward", false]], "forward() (ocpmodels.models.gemnet.layers.embedding_block.atomembedding method)": [[61, "ocpmodels.models.gemnet.layers.embedding_block.AtomEmbedding.forward", false]], "forward() (ocpmodels.models.gemnet.layers.embedding_block.edgeembedding method)": [[61, "ocpmodels.models.gemnet.layers.embedding_block.EdgeEmbedding.forward", false]], "forward() (ocpmodels.models.gemnet.layers.interaction_block.interactionblocktripletsonly method)": [[63, "ocpmodels.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly.forward", false]], "forward() (ocpmodels.models.gemnet.layers.interaction_block.tripletinteraction method)": [[63, "ocpmodels.models.gemnet.layers.interaction_block.TripletInteraction.forward", false]], "forward() (ocpmodels.models.gemnet.layers.radial_basis.bernsteinbasis method)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.BernsteinBasis.forward", false]], "forward() (ocpmodels.models.gemnet.layers.radial_basis.exponentialenvelope method)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.ExponentialEnvelope.forward", false]], "forward() (ocpmodels.models.gemnet.layers.radial_basis.polynomialenvelope method)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.PolynomialEnvelope.forward", false]], "forward() (ocpmodels.models.gemnet.layers.radial_basis.radialbasis method)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.RadialBasis.forward", false]], "forward() (ocpmodels.models.gemnet.layers.radial_basis.sphericalbesselbasis method)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.SphericalBesselBasis.forward", false]], "forward() (ocpmodels.models.gemnet.layers.spherical_basis.circularbasislayer method)": [[65, "ocpmodels.models.gemnet.layers.spherical_basis.CircularBasisLayer.forward", false]], "forward() (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett method)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.forward", false]], "forward() (ocpmodels.models.gemnet_gp.graphparallelgemnett method)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.atom_update_block.atomupdateblock method)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.atom_update_block.outputblock method)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.base_layers.dense method)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.Dense.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.base_layers.residuallayer method)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.ResidualLayer.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.base_layers.scaledsilu method)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.ScaledSiLU.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.base_layers.siqu method)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.SiQU.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.efficient.efficientinteractionbilinear method)": [[73, "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.efficient.efficientinteractiondownprojection method)": [[73, "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.embedding_block.atomembedding method)": [[74, "ocpmodels.models.gemnet_gp.layers.embedding_block.AtomEmbedding.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.embedding_block.edgeembedding method)": [[74, "ocpmodels.models.gemnet_gp.layers.embedding_block.EdgeEmbedding.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.interaction_block.interactionblocktripletsonly method)": [[76, "ocpmodels.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.interaction_block.tripletinteraction method)": [[76, "ocpmodels.models.gemnet_gp.layers.interaction_block.TripletInteraction.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.radial_basis.bernsteinbasis method)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.BernsteinBasis.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.radial_basis.exponentialenvelope method)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.radial_basis.polynomialenvelope method)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.radial_basis.radialbasis method)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.RadialBasis.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.radial_basis.sphericalbesselbasis method)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis.forward", false]], "forward() (ocpmodels.models.gemnet_gp.layers.spherical_basis.circularbasislayer method)": [[78, "ocpmodels.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer.forward", false]], "forward() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.forward", false]], "forward() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.atom_update_block.atomupdateblock method)": [[84, "ocpmodels.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.atom_update_block.outputblock method)": [[84, "ocpmodels.models.gemnet_oc.layers.atom_update_block.OutputBlock.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.base_layers.dense method)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.Dense.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.base_layers.residuallayer method)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.ResidualLayer.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.base_layers.scaledsilu method)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.ScaledSiLU.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.efficient.basisembedding method)": [[87, "ocpmodels.models.gemnet_oc.layers.efficient.BasisEmbedding.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.efficient.efficientinteractionbilinear method)": [[87, "ocpmodels.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.embedding_block.atomembedding method)": [[88, "ocpmodels.models.gemnet_oc.layers.embedding_block.AtomEmbedding.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.embedding_block.edgeembedding method)": [[88, "ocpmodels.models.gemnet_oc.layers.embedding_block.EdgeEmbedding.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.interaction_block.interactionblock method)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.InteractionBlock.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.interaction_block.pairinteraction method)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.PairInteraction.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.interaction_block.quadrupletinteraction method)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.interaction_block.tripletinteraction method)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.TripletInteraction.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.radial_basis.bernsteinbasis method)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.BernsteinBasis.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.radial_basis.exponentialenvelope method)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.radial_basis.gaussianbasis method)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.GaussianBasis.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.radial_basis.polynomialenvelope method)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.radial_basis.radialbasis method)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.RadialBasis.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.radial_basis.sphericalbesselbasis method)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.spherical_basis.circularbasislayer method)": [[93, "ocpmodels.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer.forward", false]], "forward() (ocpmodels.models.gemnet_oc.layers.spherical_basis.sphericalbasislayer method)": [[93, "ocpmodels.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer.forward", false]], "forward() (ocpmodels.models.painn.painn method)": [[97, "ocpmodels.models.painn.PaiNN.forward", false]], "forward() (ocpmodels.models.painn.painn.gatedequivariantblock method)": [[98, "ocpmodels.models.painn.painn.GatedEquivariantBlock.forward", false]], "forward() (ocpmodels.models.painn.painn.painn method)": [[98, "ocpmodels.models.painn.painn.PaiNN.forward", false]], "forward() (ocpmodels.models.painn.painn.painnmessage method)": [[98, "ocpmodels.models.painn.painn.PaiNNMessage.forward", false]], "forward() (ocpmodels.models.painn.painn.painnoutput method)": [[98, "ocpmodels.models.painn.painn.PaiNNOutput.forward", false]], "forward() (ocpmodels.models.painn.painn.painnupdate method)": [[98, "ocpmodels.models.painn.painn.PaiNNUpdate.forward", false]], "forward() (ocpmodels.models.schnet.schnetwrap method)": [[100, "ocpmodels.models.schnet.SchNetWrap.forward", false]], "forward() (ocpmodels.models.scn.scn.distanceblock method)": [[103, "ocpmodels.models.scn.scn.DistanceBlock.forward", false]], "forward() (ocpmodels.models.scn.scn.edgeblock method)": [[103, "ocpmodels.models.scn.scn.EdgeBlock.forward", false]], "forward() (ocpmodels.models.scn.scn.messageblock method)": [[103, "ocpmodels.models.scn.scn.MessageBlock.forward", false]], "forward() (ocpmodels.models.scn.scn.sphericalchannelnetwork method)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.forward", false]], "forward() (ocpmodels.models.scn.smearing.gaussiansmearing method)": [[104, "ocpmodels.models.scn.smearing.GaussianSmearing.forward", false]], "forward() (ocpmodels.models.scn.smearing.linearsigmoidsmearing method)": [[104, "ocpmodels.models.scn.smearing.LinearSigmoidSmearing.forward", false]], "forward() (ocpmodels.models.scn.smearing.sigmoidsmearing method)": [[104, "ocpmodels.models.scn.smearing.SigmoidSmearing.forward", false]], "forward() (ocpmodels.models.scn.smearing.silusmearing method)": [[104, "ocpmodels.models.scn.smearing.SiLUSmearing.forward", false]], "forward() (ocpmodels.models.scn.sphericalchannelnetwork method)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.forward", false]], "forward() (ocpmodels.models.utils.activations.act method)": [[106, "ocpmodels.models.utils.activations.Act.forward", false]], "forward() (ocpmodels.models.utils.basis.basis method)": [[107, "ocpmodels.models.utils.basis.Basis.forward", false]], "forward() (ocpmodels.models.utils.basis.fouriersmearing method)": [[107, "ocpmodels.models.utils.basis.FourierSmearing.forward", false]], "forward() (ocpmodels.models.utils.basis.gaussiansmearing method)": [[107, "ocpmodels.models.utils.basis.GaussianSmearing.forward", false]], "forward() (ocpmodels.models.utils.basis.sine method)": [[107, "ocpmodels.models.utils.basis.Sine.forward", false]], "forward() (ocpmodels.models.utils.basis.sinesmearing method)": [[107, "ocpmodels.models.utils.basis.SINESmearing.forward", false]], "forward() (ocpmodels.models.utils.basis.siren method)": [[107, "ocpmodels.models.utils.basis.SIREN.forward", false]], "forward() (ocpmodels.models.utils.basis.sphericalsmearing method)": [[107, "ocpmodels.models.utils.basis.SphericalSmearing.forward", false]], "forward() (ocpmodels.modules.loss.atomwisel2loss method)": [[112, "ocpmodels.modules.loss.AtomwiseL2Loss.forward", false]], "forward() (ocpmodels.modules.loss.ddploss method)": [[112, "ocpmodels.modules.loss.DDPLoss.forward", false]], "forward() (ocpmodels.modules.loss.l2maeloss method)": [[112, "ocpmodels.modules.loss.L2MAELoss.forward", false]], "forward() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.forward", false]], "forward() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor.forward", false]], "fouriersmearing (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.FourierSmearing", false]], "from_grid() (ocpmodels.models.equiformer_v2.so3.so3_grid method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Grid.from_grid", false]], "from_grid() (ocpmodels.models.escn.so3.so3_grid method)": [[53, "ocpmodels.models.escn.so3.SO3_Grid.from_grid", false]], "fromgrid() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.FromGrid", false]], "gateactivation (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.GateActivation", false]], "gatedequivariantblock (class in ocpmodels.models.painn.painn)": [[98, "ocpmodels.models.painn.painn.GatedEquivariantBlock", false]], "gather_from_model_parallel_region() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.gather_from_model_parallel_region", false]], "gatherfrommodelparallelregion (class in ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.GatherFromModelParallelRegion", false]], "gaussian() (in module ocpmodels.models.equiformer_v2.gaussian_rbf)": [[37, "ocpmodels.models.equiformer_v2.gaussian_rbf.gaussian", false]], "gaussianbasis (class in ocpmodels.models.gemnet_oc.layers.radial_basis)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.GaussianBasis", false]], "gaussianradialbasislayer (class in ocpmodels.models.equiformer_v2.gaussian_rbf)": [[37, "ocpmodels.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer", false]], "gaussiansmearing (class in ocpmodels.models.scn.smearing)": [[104, "ocpmodels.models.scn.smearing.GaussianSmearing", false]], "gaussiansmearing (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.GaussianSmearing", false]], "gemnetoc (class in ocpmodels.models.gemnet_oc)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC", false]], "gemnetoc (class in ocpmodels.models.gemnet_oc.gemnet_oc)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC", false]], "gemnett (class in ocpmodels.models.gemnet)": [[55, "ocpmodels.models.gemnet.GemNetT", false]], "gemnett (class in ocpmodels.models.gemnet.gemnet)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT", false]], "generate_graph() (ocpmodels.models.base.basemodel method)": [[31, "ocpmodels.models.base.BaseModel.generate_graph", false]], "generate_graph_dict() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.generate_graph_dict", false]], "generate_graph_dict() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.generate_graph_dict", false]], "generate_graph_values() (ocpmodels.models.painn.painn method)": [[97, "ocpmodels.models.painn.PaiNN.generate_graph_values", false]], "generate_graph_values() (ocpmodels.models.painn.painn.painn method)": [[98, "ocpmodels.models.painn.painn.PaiNN.generate_graph_values", false]], "generate_interaction_graph() (ocpmodels.models.gemnet.gemnet.gemnett method)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.generate_interaction_graph", false]], "generate_interaction_graph() (ocpmodels.models.gemnet.gemnett method)": [[55, "ocpmodels.models.gemnet.GemNetT.generate_interaction_graph", false]], "generate_interaction_graph() (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett method)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.generate_interaction_graph", false]], "generate_interaction_graph() (ocpmodels.models.gemnet_gp.graphparallelgemnett method)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.generate_interaction_graph", false]], "generate_yml_config() (in module ocpmodels.common.tutorial_utils)": [[15, "ocpmodels.common.tutorial_utils.generate_yml_config", false]], "get() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get", false]], "get_angle() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.get_angle", false]], "get_atoms() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset.get_atoms", false]], "get_atoms() (ocpmodels.datasets.ase_datasets.asedbdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset.get_atoms", false]], "get_atoms() (ocpmodels.datasets.ase_datasets.asereaddataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadDataset.get_atoms", false]], "get_atoms() (ocpmodels.datasets.ase_datasets.asereadmultistructuredataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadMultiStructureDataset.get_atoms", false]], "get_atoms() (ocpmodels.datasets.asedbdataset method)": [[25, "ocpmodels.datasets.AseDBDataset.get_atoms", false]], "get_atoms() (ocpmodels.datasets.asereaddataset method)": [[25, "ocpmodels.datasets.AseReadDataset.get_atoms", false]], "get_atoms() (ocpmodels.datasets.asereadmultistructuredataset method)": [[25, "ocpmodels.datasets.AseReadMultiStructureDataset.get_atoms", false]], "get_bases() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.get_bases", false]], "get_bases() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.get_bases", false]], "get_class() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get_class", false]], "get_commit_hash() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.get_commit_hash", false]], "get_dataloader() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.get_dataloader", false]], "get_dataloader() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.get_dataloader", false]], "get_dataset_class() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get_dataset_class", false]], "get_dp_group() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.get_dp_group", false]], "get_dp_rank() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.get_dp_rank", false]], "get_dp_world_size() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.get_dp_world_size", false]], "get_edge_id() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.get_edge_id", false]], "get_edge_id() (in module ocpmodels.models.painn.utils)": [[99, "ocpmodels.models.painn.utils.get_edge_id", false]], "get_energy_and_forces() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.lbfgs method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS.get_energy_and_forces", false]], "get_energy_and_forces() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.torchcalc method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.TorchCalc.get_energy_and_forces", false]], "get_from_grid_mat() (ocpmodels.models.equiformer_v2.so3.so3_grid method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Grid.get_from_grid_mat", false]], "get_from_grid_mat() (ocpmodels.models.escn.so3.so3_grid method)": [[53, "ocpmodels.models.escn.so3.SO3_Grid.get_from_grid_mat", false]], "get_gp_group() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.get_gp_group", false]], "get_gp_rank() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.get_gp_rank", false]], "get_gp_world_size() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.get_gp_world_size", false]], "get_graphs_and_indices() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.get_graphs_and_indices", false]], "get_graphs_and_indices() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.get_graphs_and_indices", false]], "get_initializer() (in module ocpmodels.models.gemnet_oc.initializers)": [[82, "ocpmodels.models.gemnet_oc.initializers.get_initializer", false]], "get_inner_idx() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.get_inner_idx", false]], "get_l_to_all_m_expand_index() (in module ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.get_l_to_all_m_expand_index", false]], "get_logger_class() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get_logger_class", false]], "get_loss_module() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.get_loss_module", false]], "get_lr() (ocpmodels.models.equiformer_v2.trainers.lr_scheduler.lrscheduler method)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.get_lr", false]], "get_lr() (ocpmodels.modules.scheduler.lrscheduler method)": [[119, "ocpmodels.modules.scheduler.LRScheduler.get_lr", false]], "get_max_neighbors_mask() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.get_max_neighbors_mask", false]], "get_metadata() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset.get_metadata", false]], "get_metadata() (ocpmodels.datasets.ase_datasets.asedbdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset.get_metadata", false]], "get_metadata() (ocpmodels.datasets.ase_datasets.asereadmultistructuredataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadMultiStructureDataset.get_metadata", false]], "get_metadata() (ocpmodels.datasets.asedbdataset method)": [[25, "ocpmodels.datasets.AseDBDataset.get_metadata", false]], "get_metadata() (ocpmodels.datasets.asereadmultistructuredataset method)": [[25, "ocpmodels.datasets.AseReadMultiStructureDataset.get_metadata", false]], "get_metadata() (ocpmodels.datasets.lmdb_dataset.lmdbdataset method)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.get_metadata", false]], "get_metadata() (ocpmodels.datasets.lmdbdataset method)": [[25, "ocpmodels.datasets.LmdbDataset.get_metadata", false]], "get_mixed_triplets() (in module ocpmodels.models.gemnet_oc.interaction_indices)": [[83, "ocpmodels.models.gemnet_oc.interaction_indices.get_mixed_triplets", false]], "get_mlp() (ocpmodels.models.gemnet.layers.atom_update_block.atomupdateblock method)": [[57, "ocpmodels.models.gemnet.layers.atom_update_block.AtomUpdateBlock.get_mlp", false]], "get_mlp() (ocpmodels.models.gemnet_gp.layers.atom_update_block.atomupdateblock method)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock.get_mlp", false]], "get_mlp() (ocpmodels.models.gemnet_oc.layers.atom_update_block.atomupdateblock method)": [[84, "ocpmodels.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock.get_mlp", false]], "get_model_class() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get_model_class", false]], "get_neighbor_order() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.get_neighbor_order", false]], "get_normalization_layer() (in module ocpmodels.models.equiformer_v2.layer_norm)": [[40, "ocpmodels.models.equiformer_v2.layer_norm.get_normalization_layer", false]], "get_parser() (ocpmodels.common.flags.flags method)": [[3, "ocpmodels.common.flags.Flags.get_parser", false]], "get_pbc_distances() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.get_pbc_distances", false]], "get_projected_angle() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.get_projected_angle", false]], "get_pruned_edge_idx() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.get_pruned_edge_idx", false]], "get_quadruplets() (in module ocpmodels.models.gemnet_oc.interaction_indices)": [[83, "ocpmodels.models.gemnet_oc.interaction_indices.get_quadruplets", false]], "get_rank() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.get_rank", false]], "get_relaxed_energy() (ocpmodels.datasets.ase_datasets.aseatomsdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseAtomsDataset.get_relaxed_energy", false]], "get_relaxed_energy() (ocpmodels.datasets.ase_datasets.asedbdataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseDBDataset.get_relaxed_energy", false]], "get_relaxed_energy() (ocpmodels.datasets.ase_datasets.asereaddataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadDataset.get_relaxed_energy", false]], "get_relaxed_energy() (ocpmodels.datasets.ase_datasets.asereadmultistructuredataset method)": [[19, "ocpmodels.datasets.ase_datasets.AseReadMultiStructureDataset.get_relaxed_energy", false]], "get_relaxed_energy() (ocpmodels.datasets.asedbdataset method)": [[25, "ocpmodels.datasets.AseDBDataset.get_relaxed_energy", false]], "get_relaxed_energy() (ocpmodels.datasets.asereaddataset method)": [[25, "ocpmodels.datasets.AseReadDataset.get_relaxed_energy", false]], "get_relaxed_energy() (ocpmodels.datasets.asereadmultistructuredataset method)": [[25, "ocpmodels.datasets.AseReadMultiStructureDataset.get_relaxed_energy", false]], "get_rotate_inv_rescale() (ocpmodels.models.equiformer_v2.so3.coefficientmappingmodule method)": [[44, "ocpmodels.models.equiformer_v2.so3.CoefficientMappingModule.get_rotate_inv_rescale", false]], "get_sampler() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.get_sampler", false]], "get_sampler() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.get_sampler", false]], "get_sph_harm_basis() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.get_sph_harm_basis", false]], "get_task_class() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get_task_class", false]], "get_to_grid_mat() (ocpmodels.models.equiformer_v2.so3.so3_grid method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Grid.get_to_grid_mat", false]], "get_to_grid_mat() (ocpmodels.models.escn.so3.so3_grid method)": [[53, "ocpmodels.models.escn.so3.SO3_Grid.get_to_grid_mat", false]], "get_trainer_class() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.get_trainer_class", false]], "get_triplets() (in module ocpmodels.models.gemnet_oc.interaction_indices)": [[83, "ocpmodels.models.gemnet_oc.interaction_indices.get_triplets", false]], "get_triplets() (ocpmodels.models.gemnet.gemnet.gemnett method)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.get_triplets", false]], "get_triplets() (ocpmodels.models.gemnet.gemnett method)": [[55, "ocpmodels.models.gemnet.GemNetT.get_triplets", false]], "get_triplets() (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett method)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.get_triplets", false]], "get_triplets() (ocpmodels.models.gemnet_gp.graphparallelgemnett method)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.get_triplets", false]], "get_world_size() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.get_world_size", false]], "graphdroppath (class in ocpmodels.models.equiformer_v2.drop)": [[34, "ocpmodels.models.equiformer_v2.drop.GraphDropPath", false]], "graphparallelgemnett (class in ocpmodels.models.gemnet_gp)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT", false]], "graphparallelgemnett (class in ocpmodels.models.gemnet_gp.gemnet)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT", false]], "grid_init() (in module ocpmodels.models.gemnet_oc.initializers)": [[82, "ocpmodels.models.gemnet_oc.initializers.grid_init", false]], "guess_property_metadata() (in module ocpmodels.datasets.target_metadata_guesser)": [[29, "ocpmodels.datasets.target_metadata_guesser.guess_property_metadata", false]], "guess_target_metadata() (in module ocpmodels.datasets.target_metadata_guesser)": [[29, "ocpmodels.datasets.target_metadata_guesser.guess_target_metadata", false]], "he_orthogonal_init() (in module ocpmodels.models.gemnet.initializers)": [[56, "ocpmodels.models.gemnet.initializers.he_orthogonal_init", false]], "he_orthogonal_init() (in module ocpmodels.models.gemnet_gp.initializers)": [[69, "ocpmodels.models.gemnet_gp.initializers.he_orthogonal_init", false]], "he_orthogonal_init() (in module ocpmodels.models.gemnet_oc.initializers)": [[82, "ocpmodels.models.gemnet_oc.initializers.he_orthogonal_init", false]], "implemented_properties (ocpmodels.common.relaxation.ase_utils.ocpcalculator attribute)": [[9, "ocpmodels.common.relaxation.ase_utils.OCPCalculator.implemented_properties", false]], "index_fn (ocpmodels.modules.scaling.scale_factor.scalefactor attribute)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.index_fn", false]], "index_fn (ocpmodels.modules.scaling.scalefactor attribute)": [[116, "ocpmodels.modules.scaling.ScaleFactor.index_fn", false]], "indexfn (in module ocpmodels.modules.scaling.scale_factor)": [[117, "ocpmodels.modules.scaling.scale_factor.IndexFn", false]], "init_basis_functions() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.init_basis_functions", false]], "init_basis_functions() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.init_basis_functions", false]], "init_edge_rot_mat() (in module ocpmodels.models.equiformer_v2.edge_rot_mat)": [[35, "ocpmodels.models.equiformer_v2.edge_rot_mat.init_edge_rot_mat", false]], "init_shared_basis_layers() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.init_shared_basis_layers", false]], "init_shared_basis_layers() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.init_shared_basis_layers", false]], "initialize_() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.initialize_", false]], "initialize_() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor.initialize_", false]], "initialized() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.initialized", false]], "initialized() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.initialized", false]], "initwignerdmatrix() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitWignerDMatrix", false]], "inityrotmapping() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.InitYRotMapping", false]], "inner_product_clamped() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.inner_product_clamped", false]], "inner_product_normalized() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.inner_product_normalized", false]], "inner_product_normalized() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.inner_product_normalized", false]], "interactionblock (class in ocpmodels.models.gemnet_oc.layers.interaction_block)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.InteractionBlock", false]], "interactionblocktripletsonly (class in ocpmodels.models.gemnet.layers.interaction_block)": [[63, "ocpmodels.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly", false]], "interactionblocktripletsonly (class in ocpmodels.models.gemnet_gp.layers.interaction_block)": [[76, "ocpmodels.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly", false]], "interactionppblock (class in ocpmodels.models.dimenet_plus_plus)": [[32, "ocpmodels.models.dimenet_plus_plus.InteractionPPBlock", false]], "irreps_sum() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.irreps_sum", false]], "is_master() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.is_master", false]], "jn() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.Jn", false]], "jn() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.Jn", false]], "jn() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.Jn", false]], "jn_zeros() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.Jn_zeros", false]], "jn_zeros() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.Jn_zeros", false]], "jn_zeros() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.Jn_zeros", false]], "khot_embeddings (in module ocpmodels.datasets.embeddings)": [[22, "ocpmodels.datasets.embeddings.KHOT_EMBEDDINGS", false]], "khot_embeddings (in module ocpmodels.datasets.embeddings.khot_embeddings)": [[23, "ocpmodels.datasets.embeddings.khot_embeddings.KHOT_EMBEDDINGS", false]], "l2maeloss (class in ocpmodels.modules.loss)": [[112, "ocpmodels.modules.loss.L2MAELoss", false]], "label_metric_dict() (in module ocpmodels.common.hpo_utils)": [[5, "ocpmodels.common.hpo_utils.label_metric_dict", false]], "layerblock (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.LayerBlock", false]], "lbfgs (class in ocpmodels.common.relaxation.optimizers.lbfgs_torch)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS", false]], "linearsigmoidsmearing (class in ocpmodels.models.scn.smearing)": [[104, "ocpmodels.models.scn.smearing.LinearSigmoidSmearing", false]], "lmdbdatabase (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.LMDBDatabase", false]], "lmdbdatabase (class in ocpmodels.datasets.lmdb_database)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase", false]], "lmdbdataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.LmdbDataset", false]], "lmdbdataset (class in ocpmodels.datasets.lmdb_dataset)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset", false]], "load() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load", false]], "load() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load", false]], "load_checkpoint() (ocpmodels.common.relaxation.ase_utils.ocpcalculator method)": [[9, "ocpmodels.common.relaxation.ase_utils.OCPCalculator.load_checkpoint", false]], "load_checkpoint() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_checkpoint", false]], "load_checkpoint() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_checkpoint", false]], "load_config() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.load_config", false]], "load_datasets() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_datasets", false]], "load_datasets() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_datasets", false]], "load_extras() (ocpmodels.models.equiformer_v2.trainers.energy_trainer.equiformerv2energytrainer method)": [[45, "ocpmodels.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer.load_extras", false]], "load_extras() (ocpmodels.models.equiformer_v2.trainers.forces_trainer.equiformerv2forcestrainer method)": [[46, "ocpmodels.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer.load_extras", false]], "load_extras() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_extras", false]], "load_extras() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_extras", false]], "load_logger() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_logger", false]], "load_logger() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_logger", false]], "load_loss() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_loss", false]], "load_loss() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_loss", false]], "load_model() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_model", false]], "load_model() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_model", false]], "load_optimizer() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_optimizer", false]], "load_optimizer() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_optimizer", false]], "load_scales_compat() (in module ocpmodels.modules.scaling.compat)": [[114, "ocpmodels.modules.scaling.compat.load_scales_compat", false]], "load_seed_from_config() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_seed_from_config", false]], "load_seed_from_config() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_seed_from_config", false]], "load_state_dict() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.load_state_dict", false]], "load_state_dict() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage.load_state_dict", false]], "load_state_dict() (ocpmodels.modules.normalizer.normalizer method)": [[113, "ocpmodels.modules.normalizer.Normalizer.load_state_dict", false]], "load_task() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.load_task", false]], "load_task() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.load_task", false]], "log() (ocpmodels.common.logger.logger method)": [[7, "ocpmodels.common.logger.Logger.log", false]], "log() (ocpmodels.common.logger.tensorboardlogger method)": [[7, "ocpmodels.common.logger.TensorboardLogger.log", false]], "log() (ocpmodels.common.logger.wandblogger method)": [[7, "ocpmodels.common.logger.WandBLogger.log", false]], "log_grid_init() (in module ocpmodels.models.gemnet_oc.initializers)": [[82, "ocpmodels.models.gemnet_oc.initializers.log_grid_init", false]], "log_plots() (ocpmodels.common.logger.logger method)": [[7, "ocpmodels.common.logger.Logger.log_plots", false]], "log_plots() (ocpmodels.common.logger.tensorboardlogger method)": [[7, "ocpmodels.common.logger.TensorboardLogger.log_plots", false]], "log_plots() (ocpmodels.common.logger.wandblogger method)": [[7, "ocpmodels.common.logger.WandBLogger.log_plots", false]], "logger (class in ocpmodels.common.logger)": [[7, "ocpmodels.common.logger.Logger", false]], "lrscheduler (class in ocpmodels.models.equiformer_v2.trainers.lr_scheduler)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.LRScheduler", false]], "lrscheduler (class in ocpmodels.modules.scheduler)": [[119, "ocpmodels.modules.scheduler.LRScheduler", false]], "m (ocpmodels.models.utils.basis.sphericalsmearing attribute)": [[107, "ocpmodels.models.utils.basis.SphericalSmearing.m", false]], "mae() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.mae", false]], "magnitude_error() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.magnitude_error", false]], "main() (in module ocpmodels.modules.scaling.fit)": [[115, "ocpmodels.modules.scaling.fit.main", false]], "mapping (ocpmodels.common.registry.registry attribute)": [[8, "ocpmodels.common.registry.Registry.mapping", false]], "mark_preempting() (ocpmodels.common.logger.logger method)": [[7, "ocpmodels.common.logger.Logger.mark_preempting", false]], "mark_preempting() (ocpmodels.common.logger.tensorboardlogger method)": [[7, "ocpmodels.common.logger.TensorboardLogger.mark_preempting", false]], "mark_preempting() (ocpmodels.common.logger.wandblogger method)": [[7, "ocpmodels.common.logger.WandBLogger.mark_preempting", false]], "mask_neighbors() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.mask_neighbors", false]], "mask_neighbors() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.mask_neighbors", false]], "mask_neighbors() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.mask_neighbors", false]], "masked_select_sparsetensor_flat() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.masked_select_sparsetensor_flat", false]], "max_neigh (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.max_neigh", false]], "max_neigh (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.max_neigh", false]], "merge_dicts() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.merge_dicts", false]], "message() (ocpmodels.models.painn.painn.painnmessage method)": [[98, "ocpmodels.models.painn.painn.PaiNNMessage.message", false]], "messageblock (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.MessageBlock", false]], "messageblock (class in ocpmodels.models.scn.scn)": [[103, "ocpmodels.models.scn.scn.MessageBlock", false]], "metadata (ocpmodels.datasets.lmdb_database.lmdbdatabase property)": [[26, "ocpmodels.datasets.lmdb_database.LMDBDatabase.metadata", false]], "metadata (ocpmodels.datasets.lmdbdatabase property)": [[25, "ocpmodels.datasets.LMDBDatabase.metadata", false]], "metadata_path (ocpmodels.common.data_parallel._hasmetadata property)": [[1, "ocpmodels.common.data_parallel._HasMetadata.metadata_path", false]], "metadata_path (ocpmodels.datasets.lmdb_dataset.lmdbdataset attribute)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.metadata_path", false]], "metadata_path (ocpmodels.datasets.lmdbdataset attribute)": [[25, "ocpmodels.datasets.LmdbDataset.metadata_path", false]], "min_diff() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.min_diff", false]], "ml_relax() (in module ocpmodels.common.relaxation.ml_relaxation)": [[11, "ocpmodels.common.relaxation.ml_relaxation.ml_relax", false]], "model_name_to_local_file() (in module ocpmodels.models)": [[95, "ocpmodels.models.model_name_to_local_file", false]], "model_name_to_local_file() (in module ocpmodels.models.model_registry)": [[96, "ocpmodels.models.model_registry.model_name_to_local_file", false]], "model_registry (in module ocpmodels.models.model_registry)": [[96, "ocpmodels.models.model_registry.MODEL_REGISTRY", false]], "module": [[1, "module-ocpmodels.common.data_parallel", false], [2, "module-ocpmodels.common.distutils", false], [3, "module-ocpmodels.common.flags", false], [4, "module-ocpmodels.common.gp_utils", false], [5, "module-ocpmodels.common.hpo_utils", false], [6, "module-ocpmodels.common", false], [7, "module-ocpmodels.common.logger", false], [8, "module-ocpmodels.common.registry", false], [9, "module-ocpmodels.common.relaxation.ase_utils", false], [10, "module-ocpmodels.common.relaxation", false], [11, "module-ocpmodels.common.relaxation.ml_relaxation", false], [12, "module-ocpmodels.common.relaxation.optimizers", false], [13, "module-ocpmodels.common.relaxation.optimizers.lbfgs_torch", false], [14, "module-ocpmodels.common.transforms", false], [15, "module-ocpmodels.common.tutorial_utils", false], [16, "module-ocpmodels.common.typing", false], [17, "module-ocpmodels.common.utils", false], [18, "module-ocpmodels.datasets._utils", false], [19, "module-ocpmodels.datasets.ase_datasets", false], [20, "module-ocpmodels.datasets.embeddings.atomic_radii", false], [21, "module-ocpmodels.datasets.embeddings.continuous_embeddings", false], [22, "module-ocpmodels.datasets.embeddings", false], [23, "module-ocpmodels.datasets.embeddings.khot_embeddings", false], [24, "module-ocpmodels.datasets.embeddings.qmof_khot_embeddings", false], [25, "module-ocpmodels.datasets", false], [26, "module-ocpmodels.datasets.lmdb_database", false], [27, "module-ocpmodels.datasets.lmdb_dataset", false], [28, "module-ocpmodels.datasets.oc22_lmdb_dataset", false], [29, "module-ocpmodels.datasets.target_metadata_guesser", false], [30, "module-ocpmodels", false], [31, "module-ocpmodels.models.base", false], [32, "module-ocpmodels.models.dimenet_plus_plus", false], [33, "module-ocpmodels.models.equiformer_v2.activation", false], [34, "module-ocpmodels.models.equiformer_v2.drop", false], [35, "module-ocpmodels.models.equiformer_v2.edge_rot_mat", false], [36, "module-ocpmodels.models.equiformer_v2.equiformer_v2_oc20", false], [37, "module-ocpmodels.models.equiformer_v2.gaussian_rbf", false], [38, "module-ocpmodels.models.equiformer_v2", false], [39, "module-ocpmodels.models.equiformer_v2.input_block", false], [40, "module-ocpmodels.models.equiformer_v2.layer_norm", false], [41, "module-ocpmodels.models.equiformer_v2.module_list", false], [42, "module-ocpmodels.models.equiformer_v2.radial_function", false], [43, "module-ocpmodels.models.equiformer_v2.so2_ops", false], [44, "module-ocpmodels.models.equiformer_v2.so3", false], [45, "module-ocpmodels.models.equiformer_v2.trainers.energy_trainer", false], [46, "module-ocpmodels.models.equiformer_v2.trainers.forces_trainer", false], [47, "module-ocpmodels.models.equiformer_v2.trainers", false], [48, "module-ocpmodels.models.equiformer_v2.trainers.lr_scheduler", false], [49, "module-ocpmodels.models.equiformer_v2.transformer_block", false], [50, "module-ocpmodels.models.equiformer_v2.wigner", false], [51, "module-ocpmodels.models.escn.escn", false], [52, "module-ocpmodels.models.escn", false], [53, "module-ocpmodels.models.escn.so3", false], [54, "module-ocpmodels.models.gemnet.gemnet", false], [55, "module-ocpmodels.models.gemnet", false], [56, "module-ocpmodels.models.gemnet.initializers", false], [57, "module-ocpmodels.models.gemnet.layers.atom_update_block", false], [58, "module-ocpmodels.models.gemnet.layers.base_layers", false], [59, "module-ocpmodels.models.gemnet.layers.basis_utils", false], [60, "module-ocpmodels.models.gemnet.layers.efficient", false], [61, "module-ocpmodels.models.gemnet.layers.embedding_block", false], [62, "module-ocpmodels.models.gemnet.layers", false], [63, "module-ocpmodels.models.gemnet.layers.interaction_block", false], [64, "module-ocpmodels.models.gemnet.layers.radial_basis", false], [65, "module-ocpmodels.models.gemnet.layers.spherical_basis", false], [66, "module-ocpmodels.models.gemnet.utils", false], [67, "module-ocpmodels.models.gemnet_gp.gemnet", false], [68, "module-ocpmodels.models.gemnet_gp", false], [69, "module-ocpmodels.models.gemnet_gp.initializers", false], [70, "module-ocpmodels.models.gemnet_gp.layers.atom_update_block", false], [71, "module-ocpmodels.models.gemnet_gp.layers.base_layers", false], [72, "module-ocpmodels.models.gemnet_gp.layers.basis_utils", false], [73, "module-ocpmodels.models.gemnet_gp.layers.efficient", false], [74, "module-ocpmodels.models.gemnet_gp.layers.embedding_block", false], [75, "module-ocpmodels.models.gemnet_gp.layers", false], [76, "module-ocpmodels.models.gemnet_gp.layers.interaction_block", false], [77, "module-ocpmodels.models.gemnet_gp.layers.radial_basis", false], [78, "module-ocpmodels.models.gemnet_gp.layers.spherical_basis", false], [79, "module-ocpmodels.models.gemnet_gp.utils", false], [80, "module-ocpmodels.models.gemnet_oc.gemnet_oc", false], [81, "module-ocpmodels.models.gemnet_oc", false], [82, "module-ocpmodels.models.gemnet_oc.initializers", false], [83, "module-ocpmodels.models.gemnet_oc.interaction_indices", false], [84, "module-ocpmodels.models.gemnet_oc.layers.atom_update_block", false], [85, "module-ocpmodels.models.gemnet_oc.layers.base_layers", false], [86, "module-ocpmodels.models.gemnet_oc.layers.basis_utils", false], [87, "module-ocpmodels.models.gemnet_oc.layers.efficient", false], [88, "module-ocpmodels.models.gemnet_oc.layers.embedding_block", false], [89, "module-ocpmodels.models.gemnet_oc.layers.force_scaler", false], [90, "module-ocpmodels.models.gemnet_oc.layers", false], [91, "module-ocpmodels.models.gemnet_oc.layers.interaction_block", false], [92, "module-ocpmodels.models.gemnet_oc.layers.radial_basis", false], [93, "module-ocpmodels.models.gemnet_oc.layers.spherical_basis", false], [94, "module-ocpmodels.models.gemnet_oc.utils", false], [95, "module-ocpmodels.models", false], [96, "module-ocpmodels.models.model_registry", false], [97, "module-ocpmodels.models.painn", false], [98, "module-ocpmodels.models.painn.painn", false], [99, "module-ocpmodels.models.painn.utils", false], [100, "module-ocpmodels.models.schnet", false], [101, "module-ocpmodels.models.scn", false], [102, "module-ocpmodels.models.scn.sampling", false], [103, "module-ocpmodels.models.scn.scn", false], [104, "module-ocpmodels.models.scn.smearing", false], [105, "module-ocpmodels.models.scn.spherical_harmonics", false], [106, "module-ocpmodels.models.utils.activations", false], [107, "module-ocpmodels.models.utils.basis", false], [108, "module-ocpmodels.models.utils", false], [109, "module-ocpmodels.modules.evaluator", false], [110, "module-ocpmodels.modules.exponential_moving_average", false], [111, "module-ocpmodels.modules", false], [112, "module-ocpmodels.modules.loss", false], [113, "module-ocpmodels.modules.normalizer", false], [114, "module-ocpmodels.modules.scaling.compat", false], [115, "module-ocpmodels.modules.scaling.fit", false], [116, "module-ocpmodels.modules.scaling", false], [117, "module-ocpmodels.modules.scaling.scale_factor", false], [118, "module-ocpmodels.modules.scaling.util", false], [119, "module-ocpmodels.modules.scheduler", false], [120, "module-ocpmodels.modules.transforms", false], [121, "module-ocpmodels.preprocessing.atoms_to_graphs", false], [122, "module-ocpmodels.preprocessing", false], [123, "module-ocpmodels.tasks", false], [124, "module-ocpmodels.tasks.task", false], [125, "module-ocpmodels.trainers.base_trainer", false], [126, "module-ocpmodels.trainers", false], [127, "module-ocpmodels.trainers.ocp_trainer", false]], "modulelistinfo (class in ocpmodels.models.equiformer_v2.module_list)": [[41, "ocpmodels.models.equiformer_v2.module_list.ModuleListInfo", false]], "mse() (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.mse", false]], "multiply() (in module ocpmodels.models.equiformer_v2.trainers.lr_scheduler)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.multiply", false]], "multistep_lr_lambda() (in module ocpmodels.models.equiformer_v2.trainers.lr_scheduler)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.multistep_lr_lambda", false]], "multisteplrlambda (class in ocpmodels.models.equiformer_v2.trainers.lr_scheduler)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda", false]], "n (ocpmodels.models.utils.basis.sphericalsmearing attribute)": [[107, "ocpmodels.models.utils.basis.SphericalSmearing.n", false]], "n_samples (ocpmodels.modules.scaling.scale_factor._stats attribute)": [[117, "ocpmodels.modules.scaling.scale_factor._Stats.n_samples", false]], "name (ocpmodels.modules.scaling.scale_factor.scalefactor attribute)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.name", false]], "name (ocpmodels.modules.scaling.scalefactor attribute)": [[116, "ocpmodels.modules.scaling.ScaleFactor.name", false]], "nesteddict (in module ocpmodels.common.registry)": [[8, "ocpmodels.common.registry.NestedDict", false]], "new_trainer_context() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.new_trainer_context", false]], "no_weight_decay() (ocpmodels.models.base.basemodel method)": [[31, "ocpmodels.models.base.BaseModel.no_weight_decay", false]], "no_weight_decay() (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 method)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20.no_weight_decay", false]], "no_weight_decay() (ocpmodels.models.equiformer_v2.equiformerv2 method)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2.no_weight_decay", false]], "none (in module ocpmodels.modules.evaluator)": [[109, "ocpmodels.modules.evaluator.NONE", false]], "none_throws() (in module ocpmodels.common.typing)": [[16, "ocpmodels.common.typing.none_throws", false]], "norm() (ocpmodels.modules.normalizer.normalizer method)": [[113, "ocpmodels.modules.normalizer.Normalizer.norm", false]], "normalizer (class in ocpmodels.modules.normalizer)": [[113, "ocpmodels.modules.normalizer.Normalizer", false]], "num_params (ocpmodels.models.base.basemodel property)": [[31, "ocpmodels.models.base.BaseModel.num_params", false]], "num_params (ocpmodels.models.dimenet_plus_plus.dimenetpluspluswrap property)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlusWrap.num_params", false]], "num_params (ocpmodels.models.equiformer_v2.equiformer_v2_oc20.equiformerv2_oc20 property)": [[36, "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20.num_params", false]], "num_params (ocpmodels.models.equiformer_v2.equiformerv2 property)": [[38, "ocpmodels.models.equiformer_v2.EquiformerV2.num_params", false]], "num_params (ocpmodels.models.escn.escn property)": [[52, "ocpmodels.models.escn.eSCN.num_params", false]], "num_params (ocpmodels.models.escn.escn.escn property)": [[51, "ocpmodels.models.escn.escn.eSCN.num_params", false]], "num_params (ocpmodels.models.gemnet.gemnet.gemnett property)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.num_params", false]], "num_params (ocpmodels.models.gemnet.gemnett property)": [[55, "ocpmodels.models.gemnet.GemNetT.num_params", false]], "num_params (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett property)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.num_params", false]], "num_params (ocpmodels.models.gemnet_gp.graphparallelgemnett property)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.num_params", false]], "num_params (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc property)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.num_params", false]], "num_params (ocpmodels.models.gemnet_oc.gemnetoc property)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.num_params", false]], "num_params (ocpmodels.models.painn.painn property)": [[97, "ocpmodels.models.painn.PaiNN.num_params", false]], "num_params (ocpmodels.models.painn.painn.painn property)": [[98, "ocpmodels.models.painn.painn.PaiNN.num_params", false]], "num_params (ocpmodels.models.schnet.schnetwrap property)": [[100, "ocpmodels.models.schnet.SchNetWrap.num_params", false]], "num_params (ocpmodels.models.scn.scn.sphericalchannelnetwork property)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork.num_params", false]], "num_params (ocpmodels.models.scn.sphericalchannelnetwork property)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork.num_params", false]], "oc22lmdbdataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.OC22LmdbDataset", false]], "oc22lmdbdataset (class in ocpmodels.datasets.oc22_lmdb_dataset)": [[28, "ocpmodels.datasets.oc22_lmdb_dataset.OC22LmdbDataset", false]], "ocp_main() (in module ocpmodels.common.tutorial_utils)": [[15, "ocpmodels.common.tutorial_utils.ocp_main", false]], "ocp_root() (in module ocpmodels.common.tutorial_utils)": [[15, "ocpmodels.common.tutorial_utils.ocp_root", false]], "ocpcalculator (class in ocpmodels.common.relaxation.ase_utils)": [[9, "ocpmodels.common.relaxation.ase_utils.OCPCalculator", false]], "ocpcollater (class in ocpmodels.common.data_parallel)": [[1, "ocpmodels.common.data_parallel.OCPCollater", false]], "ocpmodels": [[30, "module-ocpmodels", false]], "ocpmodels.common": [[6, "module-ocpmodels.common", false]], "ocpmodels.common.data_parallel": [[1, "module-ocpmodels.common.data_parallel", false]], "ocpmodels.common.distutils": [[2, "module-ocpmodels.common.distutils", false]], "ocpmodels.common.flags": [[3, "module-ocpmodels.common.flags", false]], "ocpmodels.common.gp_utils": [[4, "module-ocpmodels.common.gp_utils", false]], "ocpmodels.common.hpo_utils": [[5, "module-ocpmodels.common.hpo_utils", false]], "ocpmodels.common.logger": [[7, "module-ocpmodels.common.logger", false]], "ocpmodels.common.registry": [[8, "module-ocpmodels.common.registry", false]], "ocpmodels.common.relaxation": [[10, "module-ocpmodels.common.relaxation", false]], "ocpmodels.common.relaxation.ase_utils": [[9, "module-ocpmodels.common.relaxation.ase_utils", false]], "ocpmodels.common.relaxation.ml_relaxation": [[11, "module-ocpmodels.common.relaxation.ml_relaxation", false]], "ocpmodels.common.relaxation.optimizers": [[12, "module-ocpmodels.common.relaxation.optimizers", false]], "ocpmodels.common.relaxation.optimizers.lbfgs_torch": [[13, "module-ocpmodels.common.relaxation.optimizers.lbfgs_torch", false]], "ocpmodels.common.transforms": [[14, "module-ocpmodels.common.transforms", false]], "ocpmodels.common.tutorial_utils": [[15, "module-ocpmodels.common.tutorial_utils", false]], "ocpmodels.common.typing": [[16, "module-ocpmodels.common.typing", false]], "ocpmodels.common.utils": [[17, "module-ocpmodels.common.utils", false]], "ocpmodels.datasets": [[25, "module-ocpmodels.datasets", false]], "ocpmodels.datasets._utils": [[18, "module-ocpmodels.datasets._utils", false]], "ocpmodels.datasets.ase_datasets": [[19, "module-ocpmodels.datasets.ase_datasets", false]], "ocpmodels.datasets.embeddings": [[22, "module-ocpmodels.datasets.embeddings", false]], "ocpmodels.datasets.embeddings.atomic_radii": [[20, "module-ocpmodels.datasets.embeddings.atomic_radii", false]], "ocpmodels.datasets.embeddings.continuous_embeddings": [[21, "module-ocpmodels.datasets.embeddings.continuous_embeddings", false]], "ocpmodels.datasets.embeddings.khot_embeddings": [[23, "module-ocpmodels.datasets.embeddings.khot_embeddings", false]], "ocpmodels.datasets.embeddings.qmof_khot_embeddings": [[24, "module-ocpmodels.datasets.embeddings.qmof_khot_embeddings", false]], "ocpmodels.datasets.lmdb_database": [[26, "module-ocpmodels.datasets.lmdb_database", false]], "ocpmodels.datasets.lmdb_dataset": [[27, "module-ocpmodels.datasets.lmdb_dataset", false]], "ocpmodels.datasets.oc22_lmdb_dataset": [[28, "module-ocpmodels.datasets.oc22_lmdb_dataset", false]], "ocpmodels.datasets.target_metadata_guesser": [[29, "module-ocpmodels.datasets.target_metadata_guesser", false]], "ocpmodels.models": [[95, "module-ocpmodels.models", false]], "ocpmodels.models.base": [[31, "module-ocpmodels.models.base", false]], "ocpmodels.models.dimenet_plus_plus": [[32, "module-ocpmodels.models.dimenet_plus_plus", false]], "ocpmodels.models.equiformer_v2": [[38, "module-ocpmodels.models.equiformer_v2", false]], "ocpmodels.models.equiformer_v2.activation": [[33, "module-ocpmodels.models.equiformer_v2.activation", false]], "ocpmodels.models.equiformer_v2.drop": [[34, "module-ocpmodels.models.equiformer_v2.drop", false]], "ocpmodels.models.equiformer_v2.edge_rot_mat": [[35, "module-ocpmodels.models.equiformer_v2.edge_rot_mat", false]], "ocpmodels.models.equiformer_v2.equiformer_v2_oc20": [[36, "module-ocpmodels.models.equiformer_v2.equiformer_v2_oc20", false]], "ocpmodels.models.equiformer_v2.gaussian_rbf": [[37, "module-ocpmodels.models.equiformer_v2.gaussian_rbf", false]], "ocpmodels.models.equiformer_v2.input_block": [[39, "module-ocpmodels.models.equiformer_v2.input_block", false]], "ocpmodels.models.equiformer_v2.layer_norm": [[40, "module-ocpmodels.models.equiformer_v2.layer_norm", false]], "ocpmodels.models.equiformer_v2.module_list": [[41, "module-ocpmodels.models.equiformer_v2.module_list", false]], "ocpmodels.models.equiformer_v2.radial_function": [[42, "module-ocpmodels.models.equiformer_v2.radial_function", false]], "ocpmodels.models.equiformer_v2.so2_ops": [[43, "module-ocpmodels.models.equiformer_v2.so2_ops", false]], "ocpmodels.models.equiformer_v2.so3": [[44, "module-ocpmodels.models.equiformer_v2.so3", false]], "ocpmodels.models.equiformer_v2.trainers": [[47, "module-ocpmodels.models.equiformer_v2.trainers", false]], "ocpmodels.models.equiformer_v2.trainers.energy_trainer": [[45, "module-ocpmodels.models.equiformer_v2.trainers.energy_trainer", false]], "ocpmodels.models.equiformer_v2.trainers.forces_trainer": [[46, "module-ocpmodels.models.equiformer_v2.trainers.forces_trainer", false]], "ocpmodels.models.equiformer_v2.trainers.lr_scheduler": [[48, "module-ocpmodels.models.equiformer_v2.trainers.lr_scheduler", false]], "ocpmodels.models.equiformer_v2.transformer_block": [[49, "module-ocpmodels.models.equiformer_v2.transformer_block", false]], "ocpmodels.models.equiformer_v2.wigner": [[50, "module-ocpmodels.models.equiformer_v2.wigner", false]], "ocpmodels.models.escn": [[52, "module-ocpmodels.models.escn", false]], "ocpmodels.models.escn.escn": [[51, "module-ocpmodels.models.escn.escn", false]], "ocpmodels.models.escn.so3": [[53, "module-ocpmodels.models.escn.so3", false]], "ocpmodels.models.gemnet": [[55, "module-ocpmodels.models.gemnet", false]], "ocpmodels.models.gemnet.gemnet": [[54, "module-ocpmodels.models.gemnet.gemnet", false]], "ocpmodels.models.gemnet.initializers": [[56, "module-ocpmodels.models.gemnet.initializers", false]], "ocpmodels.models.gemnet.layers": [[62, "module-ocpmodels.models.gemnet.layers", false]], "ocpmodels.models.gemnet.layers.atom_update_block": [[57, "module-ocpmodels.models.gemnet.layers.atom_update_block", false]], "ocpmodels.models.gemnet.layers.base_layers": [[58, "module-ocpmodels.models.gemnet.layers.base_layers", false]], "ocpmodels.models.gemnet.layers.basis_utils": [[59, "module-ocpmodels.models.gemnet.layers.basis_utils", false]], "ocpmodels.models.gemnet.layers.efficient": [[60, "module-ocpmodels.models.gemnet.layers.efficient", false]], "ocpmodels.models.gemnet.layers.embedding_block": [[61, "module-ocpmodels.models.gemnet.layers.embedding_block", false]], "ocpmodels.models.gemnet.layers.interaction_block": [[63, "module-ocpmodels.models.gemnet.layers.interaction_block", false]], "ocpmodels.models.gemnet.layers.radial_basis": [[64, "module-ocpmodels.models.gemnet.layers.radial_basis", false]], "ocpmodels.models.gemnet.layers.spherical_basis": [[65, "module-ocpmodels.models.gemnet.layers.spherical_basis", false]], "ocpmodels.models.gemnet.utils": [[66, "module-ocpmodels.models.gemnet.utils", false]], "ocpmodels.models.gemnet_gp": [[68, "module-ocpmodels.models.gemnet_gp", false]], "ocpmodels.models.gemnet_gp.gemnet": [[67, "module-ocpmodels.models.gemnet_gp.gemnet", false]], "ocpmodels.models.gemnet_gp.initializers": [[69, "module-ocpmodels.models.gemnet_gp.initializers", false]], "ocpmodels.models.gemnet_gp.layers": [[75, "module-ocpmodels.models.gemnet_gp.layers", false]], "ocpmodels.models.gemnet_gp.layers.atom_update_block": [[70, "module-ocpmodels.models.gemnet_gp.layers.atom_update_block", false]], "ocpmodels.models.gemnet_gp.layers.base_layers": [[71, "module-ocpmodels.models.gemnet_gp.layers.base_layers", false]], "ocpmodels.models.gemnet_gp.layers.basis_utils": [[72, "module-ocpmodels.models.gemnet_gp.layers.basis_utils", false]], "ocpmodels.models.gemnet_gp.layers.efficient": [[73, "module-ocpmodels.models.gemnet_gp.layers.efficient", false]], "ocpmodels.models.gemnet_gp.layers.embedding_block": [[74, "module-ocpmodels.models.gemnet_gp.layers.embedding_block", false]], "ocpmodels.models.gemnet_gp.layers.interaction_block": [[76, "module-ocpmodels.models.gemnet_gp.layers.interaction_block", false]], "ocpmodels.models.gemnet_gp.layers.radial_basis": [[77, "module-ocpmodels.models.gemnet_gp.layers.radial_basis", false]], "ocpmodels.models.gemnet_gp.layers.spherical_basis": [[78, "module-ocpmodels.models.gemnet_gp.layers.spherical_basis", false]], "ocpmodels.models.gemnet_gp.utils": [[79, "module-ocpmodels.models.gemnet_gp.utils", false]], "ocpmodels.models.gemnet_oc": [[81, "module-ocpmodels.models.gemnet_oc", false]], "ocpmodels.models.gemnet_oc.gemnet_oc": [[80, "module-ocpmodels.models.gemnet_oc.gemnet_oc", false]], "ocpmodels.models.gemnet_oc.initializers": [[82, "module-ocpmodels.models.gemnet_oc.initializers", false]], "ocpmodels.models.gemnet_oc.interaction_indices": [[83, "module-ocpmodels.models.gemnet_oc.interaction_indices", false]], "ocpmodels.models.gemnet_oc.layers": [[90, "module-ocpmodels.models.gemnet_oc.layers", false]], "ocpmodels.models.gemnet_oc.layers.atom_update_block": [[84, "module-ocpmodels.models.gemnet_oc.layers.atom_update_block", false]], "ocpmodels.models.gemnet_oc.layers.base_layers": [[85, "module-ocpmodels.models.gemnet_oc.layers.base_layers", false]], "ocpmodels.models.gemnet_oc.layers.basis_utils": [[86, "module-ocpmodels.models.gemnet_oc.layers.basis_utils", false]], "ocpmodels.models.gemnet_oc.layers.efficient": [[87, "module-ocpmodels.models.gemnet_oc.layers.efficient", false]], "ocpmodels.models.gemnet_oc.layers.embedding_block": [[88, "module-ocpmodels.models.gemnet_oc.layers.embedding_block", false]], "ocpmodels.models.gemnet_oc.layers.force_scaler": [[89, "module-ocpmodels.models.gemnet_oc.layers.force_scaler", false]], "ocpmodels.models.gemnet_oc.layers.interaction_block": [[91, "module-ocpmodels.models.gemnet_oc.layers.interaction_block", false]], "ocpmodels.models.gemnet_oc.layers.radial_basis": [[92, "module-ocpmodels.models.gemnet_oc.layers.radial_basis", false]], "ocpmodels.models.gemnet_oc.layers.spherical_basis": [[93, "module-ocpmodels.models.gemnet_oc.layers.spherical_basis", false]], "ocpmodels.models.gemnet_oc.utils": [[94, "module-ocpmodels.models.gemnet_oc.utils", false]], "ocpmodels.models.model_registry": [[96, "module-ocpmodels.models.model_registry", false]], "ocpmodels.models.painn": [[97, "module-ocpmodels.models.painn", false]], "ocpmodels.models.painn.painn": [[98, "module-ocpmodels.models.painn.painn", false]], "ocpmodels.models.painn.utils": [[99, "module-ocpmodels.models.painn.utils", false]], "ocpmodels.models.schnet": [[100, "module-ocpmodels.models.schnet", false]], "ocpmodels.models.scn": [[101, "module-ocpmodels.models.scn", false]], "ocpmodels.models.scn.sampling": [[102, "module-ocpmodels.models.scn.sampling", false]], "ocpmodels.models.scn.scn": [[103, "module-ocpmodels.models.scn.scn", false]], "ocpmodels.models.scn.smearing": [[104, "module-ocpmodels.models.scn.smearing", false]], "ocpmodels.models.scn.spherical_harmonics": [[105, "module-ocpmodels.models.scn.spherical_harmonics", false]], "ocpmodels.models.utils": [[108, "module-ocpmodels.models.utils", false]], "ocpmodels.models.utils.activations": [[106, "module-ocpmodels.models.utils.activations", false]], "ocpmodels.models.utils.basis": [[107, "module-ocpmodels.models.utils.basis", false]], "ocpmodels.modules": [[111, "module-ocpmodels.modules", false]], "ocpmodels.modules.evaluator": [[109, "module-ocpmodels.modules.evaluator", false]], "ocpmodels.modules.exponential_moving_average": [[110, "module-ocpmodels.modules.exponential_moving_average", false]], "ocpmodels.modules.loss": [[112, "module-ocpmodels.modules.loss", false]], "ocpmodels.modules.normalizer": [[113, "module-ocpmodels.modules.normalizer", false]], "ocpmodels.modules.scaling": [[116, "module-ocpmodels.modules.scaling", false]], "ocpmodels.modules.scaling.compat": [[114, "module-ocpmodels.modules.scaling.compat", false]], "ocpmodels.modules.scaling.fit": [[115, "module-ocpmodels.modules.scaling.fit", false]], "ocpmodels.modules.scaling.scale_factor": [[117, "module-ocpmodels.modules.scaling.scale_factor", false]], "ocpmodels.modules.scaling.util": [[118, "module-ocpmodels.modules.scaling.util", false]], "ocpmodels.modules.scheduler": [[119, "module-ocpmodels.modules.scheduler", false]], "ocpmodels.modules.transforms": [[120, "module-ocpmodels.modules.transforms", false]], "ocpmodels.preprocessing": [[122, "module-ocpmodels.preprocessing", false]], "ocpmodels.preprocessing.atoms_to_graphs": [[121, "module-ocpmodels.preprocessing.atoms_to_graphs", false]], "ocpmodels.tasks": [[123, "module-ocpmodels.tasks", false]], "ocpmodels.tasks.task": [[124, "module-ocpmodels.tasks.task", false]], "ocpmodels.trainers": [[126, "module-ocpmodels.trainers", false]], "ocpmodels.trainers.base_trainer": [[125, "module-ocpmodels.trainers.base_trainer", false]], "ocpmodels.trainers.ocp_trainer": [[127, "module-ocpmodels.trainers.ocp_trainer", false]], "ocptrainer (class in ocpmodels.trainers)": [[126, "ocpmodels.trainers.OCPTrainer", false]], "ocptrainer (class in ocpmodels.trainers.ocp_trainer)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer", false]], "os_environ_get_or_throw() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.os_environ_get_or_throw", false]], "out_energy (ocpmodels.models.gemnet_gp.layers.atom_update_block.outputblock attribute)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_energy", false]], "out_forces (ocpmodels.models.gemnet_gp.layers.atom_update_block.outputblock attribute)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock.out_forces", false]], "outputblock (class in ocpmodels.models.gemnet.layers.atom_update_block)": [[57, "ocpmodels.models.gemnet.layers.atom_update_block.OutputBlock", false]], "outputblock (class in ocpmodels.models.gemnet_gp.layers.atom_update_block)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock", false]], "outputblock (class in ocpmodels.models.gemnet_oc.layers.atom_update_block)": [[84, "ocpmodels.models.gemnet_oc.layers.atom_update_block.OutputBlock", false]], "outputppblock (class in ocpmodels.models.dimenet_plus_plus)": [[32, "ocpmodels.models.dimenet_plus_plus.OutputPPBlock", false]], "pad_tensor() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.pad_tensor", false]], "painn (class in ocpmodels.models.painn)": [[97, "ocpmodels.models.painn.PaiNN", false]], "painn (class in ocpmodels.models.painn.painn)": [[98, "ocpmodels.models.painn.painn.PaiNN", false]], "painnmessage (class in ocpmodels.models.painn.painn)": [[98, "ocpmodels.models.painn.painn.PaiNNMessage", false]], "painnoutput (class in ocpmodels.models.painn.painn)": [[98, "ocpmodels.models.painn.painn.PaiNNOutput", false]], "painnupdate (class in ocpmodels.models.painn.painn)": [[98, "ocpmodels.models.painn.painn.PaiNNUpdate", false]], "pairinteraction (class in ocpmodels.models.gemnet_oc.layers.interaction_block)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.PairInteraction", false]], "parse_value() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.parse_value", false]], "plot_histogram() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.plot_histogram", false]], "polynomialenvelope (class in ocpmodels.models.gemnet.layers.radial_basis)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.PolynomialEnvelope", false]], "polynomialenvelope (class in ocpmodels.models.gemnet_gp.layers.radial_basis)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope", false]], "polynomialenvelope (class in ocpmodels.models.gemnet_oc.layers.radial_basis)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope", false]], "predict() (ocpmodels.trainers.ocp_trainer.ocptrainer method)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer.predict", false]], "predict() (ocpmodels.trainers.ocptrainer method)": [[126, "ocpmodels.trainers.OCPTrainer.predict", false]], "predicttask (class in ocpmodels.tasks)": [[123, "ocpmodels.tasks.PredictTask", false]], "predicttask (class in ocpmodels.tasks.task)": [[124, "ocpmodels.tasks.task.PredictTask", false]], "print_cuda_usage() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.print_cuda_usage", false]], "pyg2_data_transform() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.pyg2_data_transform", false]], "qmof_khot_embeddings (in module ocpmodels.datasets.embeddings)": [[22, "ocpmodels.datasets.embeddings.QMOF_KHOT_EMBEDDINGS", false]], "qmof_khot_embeddings (in module ocpmodels.datasets.embeddings.qmof_khot_embeddings)": [[24, "ocpmodels.datasets.embeddings.qmof_khot_embeddings.QMOF_KHOT_EMBEDDINGS", false]], "quadrupletinteraction (class in ocpmodels.models.gemnet_oc.layers.interaction_block)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction", false]], "r (in module ocpmodels.common.registry)": [[8, "ocpmodels.common.registry.R", false]], "r_data_keys (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_data_keys", false]], "r_data_keys (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_data_keys", false]], "r_distances (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_distances", false]], "r_distances (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_distances", false]], "r_edges (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_edges", false]], "r_edges (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_edges", false]], "r_energy (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_energy", false]], "r_energy (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_energy", false]], "r_fixed (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_fixed", false]], "r_fixed (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_fixed", false]], "r_forces (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_forces", false]], "r_forces (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_forces", false]], "r_pbc (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_pbc", false]], "r_pbc (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_pbc", false]], "r_stress (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.r_stress", false]], "r_stress (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.r_stress", false]], "radialbasis (class in ocpmodels.models.gemnet.layers.radial_basis)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.RadialBasis", false]], "radialbasis (class in ocpmodels.models.gemnet_gp.layers.radial_basis)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.RadialBasis", false]], "radialbasis (class in ocpmodels.models.gemnet_oc.layers.radial_basis)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.RadialBasis", false]], "radialfunction (class in ocpmodels.models.equiformer_v2.radial_function)": [[42, "ocpmodels.models.equiformer_v2.radial_function.RadialFunction", false]], "radius (ocpmodels.preprocessing.atoms_to_graphs.atomstographs attribute)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs.radius", false]], "radius (ocpmodels.preprocessing.atomstographs attribute)": [[122, "ocpmodels.preprocessing.AtomsToGraphs.radius", false]], "radius_graph_pbc() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.radius_graph_pbc", false]], "ragged_range() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.ragged_range", false]], "ragged_range() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.ragged_range", false]], "ragged_range() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.ragged_range", false]], "randomrotate (class in ocpmodels.common.transforms)": [[14, "ocpmodels.common.transforms.RandomRotate", false]], "read_json() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.read_json", false]], "read_json() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.read_json", false]], "read_value_json() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.read_value_json", false]], "read_value_json() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.read_value_json", false]], "real_sph_harm() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.real_sph_harm", false]], "real_sph_harm() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.real_sph_harm", false]], "real_sph_harm() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.real_sph_harm", false]], "reduce_from_model_parallel_region() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.reduce_from_model_parallel_region", false]], "reducefrommodelparallelregion (class in ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.ReduceFromModelParallelRegion", false]], "register() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.register", false]], "register_dataset() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.register_dataset", false]], "register_logger() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.register_logger", false]], "register_model() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.register_model", false]], "register_task() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.register_task", false]], "register_trainer() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.register_trainer", false]], "registry (class in ocpmodels.common.registry)": [[8, "ocpmodels.common.registry.Registry", false]], "registry (in module ocpmodels.common.registry)": [[8, "ocpmodels.common.registry.registry", false]], "relaxationtask (class in ocpmodels.tasks)": [[123, "ocpmodels.tasks.RelaxationTask", false]], "relaxationtask (class in ocpmodels.tasks.task)": [[124, "ocpmodels.tasks.task.RelaxationTask", false]], "rename_data_object_keys() (in module ocpmodels.datasets._utils)": [[18, "ocpmodels.datasets._utils.rename_data_object_keys", false]], "reorder_symmetric_edges() (ocpmodels.models.gemnet.gemnet.gemnett method)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.reorder_symmetric_edges", false]], "reorder_symmetric_edges() (ocpmodels.models.gemnet.gemnett method)": [[55, "ocpmodels.models.gemnet.GemNetT.reorder_symmetric_edges", false]], "reorder_symmetric_edges() (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett method)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.reorder_symmetric_edges", false]], "reorder_symmetric_edges() (ocpmodels.models.gemnet_gp.graphparallelgemnett method)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.reorder_symmetric_edges", false]], "repeat_blocks() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.repeat_blocks", false]], "repeat_blocks() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.repeat_blocks", false]], "repeat_blocks() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.repeat_blocks", false]], "repeat_blocks() (in module ocpmodels.models.painn.utils)": [[99, "ocpmodels.models.painn.utils.repeat_blocks", false]], "reserved_keys (in module ocpmodels.datasets.lmdb_database)": [[26, "ocpmodels.datasets.lmdb_database.RESERVED_KEYS", false]], "reset_() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.reset_", false]], "reset_() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor.reset_", false]], "reset_parameters() (ocpmodels.models.dimenet_plus_plus.dimenetplusplus method)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlus.reset_parameters", false]], "reset_parameters() (ocpmodels.models.dimenet_plus_plus.interactionppblock method)": [[32, "ocpmodels.models.dimenet_plus_plus.InteractionPPBlock.reset_parameters", false]], "reset_parameters() (ocpmodels.models.dimenet_plus_plus.outputppblock method)": [[32, "ocpmodels.models.dimenet_plus_plus.OutputPPBlock.reset_parameters", false]], "reset_parameters() (ocpmodels.models.gemnet.layers.atom_update_block.outputblock method)": [[57, "ocpmodels.models.gemnet.layers.atom_update_block.OutputBlock.reset_parameters", false]], "reset_parameters() (ocpmodels.models.gemnet.layers.base_layers.dense method)": [[58, "ocpmodels.models.gemnet.layers.base_layers.Dense.reset_parameters", false]], "reset_parameters() (ocpmodels.models.gemnet.layers.efficient.efficientinteractionbilinear method)": [[60, "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionBilinear.reset_parameters", false]], "reset_parameters() (ocpmodels.models.gemnet.layers.efficient.efficientinteractiondownprojection method)": [[60, "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionDownProjection.reset_parameters", false]], "reset_parameters() (ocpmodels.models.gemnet_gp.layers.atom_update_block.outputblock method)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock.reset_parameters", false]], "reset_parameters() (ocpmodels.models.gemnet_gp.layers.base_layers.dense method)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.Dense.reset_parameters", false]], "reset_parameters() (ocpmodels.models.gemnet_gp.layers.efficient.efficientinteractionbilinear method)": [[73, "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear.reset_parameters", false]], "reset_parameters() (ocpmodels.models.gemnet_gp.layers.efficient.efficientinteractiondownprojection method)": [[73, "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection.reset_parameters", false]], "reset_parameters() (ocpmodels.models.gemnet_oc.layers.base_layers.dense method)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.Dense.reset_parameters", false]], "reset_parameters() (ocpmodels.models.gemnet_oc.layers.efficient.basisembedding method)": [[87, "ocpmodels.models.gemnet_oc.layers.efficient.BasisEmbedding.reset_parameters", false]], "reset_parameters() (ocpmodels.models.painn.painn method)": [[97, "ocpmodels.models.painn.PaiNN.reset_parameters", false]], "reset_parameters() (ocpmodels.models.painn.painn.gatedequivariantblock method)": [[98, "ocpmodels.models.painn.painn.GatedEquivariantBlock.reset_parameters", false]], "reset_parameters() (ocpmodels.models.painn.painn.painn method)": [[98, "ocpmodels.models.painn.painn.PaiNN.reset_parameters", false]], "reset_parameters() (ocpmodels.models.painn.painn.painnmessage method)": [[98, "ocpmodels.models.painn.painn.PaiNNMessage.reset_parameters", false]], "reset_parameters() (ocpmodels.models.painn.painn.painnoutput method)": [[98, "ocpmodels.models.painn.painn.PaiNNOutput.reset_parameters", false]], "reset_parameters() (ocpmodels.models.painn.painn.painnupdate method)": [[98, "ocpmodels.models.painn.painn.PaiNNUpdate.reset_parameters", false]], "residuallayer (class in ocpmodels.models.gemnet.layers.base_layers)": [[58, "ocpmodels.models.gemnet.layers.base_layers.ResidualLayer", false]], "residuallayer (class in ocpmodels.models.gemnet_gp.layers.base_layers)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.ResidualLayer", false]], "residuallayer (class in ocpmodels.models.gemnet_oc.layers.base_layers)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.ResidualLayer", false]], "restore() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage.restore", false]], "rotate() (ocpmodels.models.equiformer_v2.so3.so3_rotation method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Rotation.rotate", false]], "rotate() (ocpmodels.models.escn.so3.so3_rotation method)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation.rotate", false]], "rotate() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.Rotate", false]], "rotate_inv() (ocpmodels.models.equiformer_v2.so3.so3_rotation method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Rotation.rotate_inv", false]], "rotate_inv() (ocpmodels.models.escn.so3.so3_rotation method)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation.rotate_inv", false]], "rotateinv() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateInv", false]], "rotatewigner() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotateWigner", false]], "rotationmatrix() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationMatrix", false]], "rotationtowignerdmatrix() (ocpmodels.models.equiformer_v2.so3.so3_rotation method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Rotation.RotationToWignerDMatrix", false]], "rotationtowignerdmatrix() (ocpmodels.models.escn.so3.so3_rotation method)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation.RotationToWignerDMatrix", false]], "rotationtowignerdmatrix() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.RotationToWignerDMatrix", false]], "run() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.lbfgs method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS.run", false]], "run() (ocpmodels.tasks.predicttask method)": [[123, "ocpmodels.tasks.PredictTask.run", false]], "run() (ocpmodels.tasks.relaxationtask method)": [[123, "ocpmodels.tasks.RelaxationTask.run", false]], "run() (ocpmodels.tasks.task.basetask method)": [[124, "ocpmodels.tasks.task.BaseTask.run", false]], "run() (ocpmodels.tasks.task.predicttask method)": [[124, "ocpmodels.tasks.task.PredictTask.run", false]], "run() (ocpmodels.tasks.task.relaxationtask method)": [[124, "ocpmodels.tasks.task.RelaxationTask.run", false]], "run() (ocpmodels.tasks.task.traintask method)": [[124, "ocpmodels.tasks.task.TrainTask.run", false]], "run() (ocpmodels.tasks.task.validatetask method)": [[124, "ocpmodels.tasks.task.ValidateTask.run", false]], "run() (ocpmodels.tasks.traintask method)": [[123, "ocpmodels.tasks.TrainTask.run", false]], "run() (ocpmodels.tasks.validatetask method)": [[123, "ocpmodels.tasks.ValidateTask.run", false]], "run_relaxations() (ocpmodels.trainers.ocp_trainer.ocptrainer method)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer.run_relaxations", false]], "run_relaxations() (ocpmodels.trainers.ocptrainer method)": [[126, "ocpmodels.trainers.OCPTrainer.run_relaxations", false]], "s2activation (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.S2Activation", false]], "save() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.save", false]], "save() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.save", false]], "save_checkpoint() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.save_checkpoint", false]], "save_experiment_log() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.save_experiment_log", false]], "save_results() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.save_results", false]], "save_results() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.save_results", false]], "scale() (ocpmodels.models.gemnet_oc.layers.force_scaler.forcescaler method)": [[89, "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler.scale", false]], "scale_factor (ocpmodels.modules.scaling.scale_factor.scalefactor attribute)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.scale_factor", false]], "scale_factor (ocpmodels.modules.scaling.scalefactor attribute)": [[116, "ocpmodels.modules.scaling.ScaleFactor.scale_factor", false]], "scaledict (in module ocpmodels.modules.scaling.compat)": [[114, "ocpmodels.modules.scaling.compat.ScaleDict", false]], "scaledsigmoid (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSigmoid", false]], "scaledsilu (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSiLU", false]], "scaledsilu (class in ocpmodels.models.gemnet.layers.base_layers)": [[58, "ocpmodels.models.gemnet.layers.base_layers.ScaledSiLU", false]], "scaledsilu (class in ocpmodels.models.gemnet_gp.layers.base_layers)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.ScaledSiLU", false]], "scaledsilu (class in ocpmodels.models.gemnet_oc.layers.base_layers)": [[85, "ocpmodels.models.gemnet_oc.layers.base_layers.ScaledSiLU", false]], "scaledsmoothleakyrelu (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSmoothLeakyReLU", false]], "scaledswiglu (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.ScaledSwiGLU", false]], "scalefactor (class in ocpmodels.modules.scaling)": [[116, "ocpmodels.modules.scaling.ScaleFactor", false]], "scalefactor (class in ocpmodels.modules.scaling.scale_factor)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor", false]], "scatter_det() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.scatter_det", false]], "scatter_sum() (in module ocpmodels.models.gemnet_gp.layers.atom_update_block)": [[70, "ocpmodels.models.gemnet_gp.layers.atom_update_block.scatter_sum", false]], "scatter_to_model_parallel_region() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.scatter_to_model_parallel_region", false]], "scattertomodelparallelregion (class in ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.ScatterToModelParallelRegion", false]], "schnetwrap (class in ocpmodels.models.schnet)": [[100, "ocpmodels.models.schnet.SchNetWrap", false]], "select_edges() (ocpmodels.models.gemnet.gemnet.gemnett method)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.select_edges", false]], "select_edges() (ocpmodels.models.gemnet.gemnett method)": [[55, "ocpmodels.models.gemnet.GemNetT.select_edges", false]], "select_edges() (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett method)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.select_edges", false]], "select_edges() (ocpmodels.models.gemnet_gp.graphparallelgemnett method)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.select_edges", false]], "select_symmetric_edges() (ocpmodels.models.gemnet.gemnet.gemnett method)": [[54, "ocpmodels.models.gemnet.gemnet.GemNetT.select_symmetric_edges", false]], "select_symmetric_edges() (ocpmodels.models.gemnet.gemnett method)": [[55, "ocpmodels.models.gemnet.GemNetT.select_symmetric_edges", false]], "select_symmetric_edges() (ocpmodels.models.gemnet_gp.gemnet.graphparallelgemnett method)": [[67, "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT.select_symmetric_edges", false]], "select_symmetric_edges() (ocpmodels.models.gemnet_gp.graphparallelgemnett method)": [[68, "ocpmodels.models.gemnet_gp.GraphParallelGemNetT.select_symmetric_edges", false]], "select_symmetric_edges() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.select_symmetric_edges", false]], "select_symmetric_edges() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.select_symmetric_edges", false]], "select_symmetric_edges() (ocpmodels.models.painn.painn method)": [[97, "ocpmodels.models.painn.PaiNN.select_symmetric_edges", false]], "select_symmetric_edges() (ocpmodels.models.painn.painn.painn method)": [[98, "ocpmodels.models.painn.painn.PaiNN.select_symmetric_edges", false]], "separables2activation (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.SeparableS2Activation", false]], "set_() (ocpmodels.modules.scaling.scale_factor.scalefactor method)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.set_", false]], "set_() (ocpmodels.modules.scaling.scalefactor method)": [[116, "ocpmodels.modules.scaling.ScaleFactor.set_", false]], "set_cutoffs() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.set_cutoffs", false]], "set_cutoffs() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.set_cutoffs", false]], "set_embedding() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding.set_embedding", false]], "set_embedding() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding.set_embedding", false]], "set_epoch_and_start_iteration() (ocpmodels.common.data_parallel.balancedbatchsampler method)": [[1, "ocpmodels.common.data_parallel.BalancedBatchSampler.set_epoch_and_start_iteration", false]], "set_epoch_and_start_iteration() (ocpmodels.common.data_parallel.statefuldistributedsampler method)": [[1, "ocpmodels.common.data_parallel.StatefulDistributedSampler.set_epoch_and_start_iteration", false]], "set_lmax() (ocpmodels.models.escn.so3.so3_rotation method)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation.set_lmax", false]], "set_lmax_mmax() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding.set_lmax_mmax", false]], "set_lmax_mmax() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding.set_lmax_mmax", false]], "set_max_neighbors() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.set_max_neighbors", false]], "set_max_neighbors() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.set_max_neighbors", false]], "set_positions() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.lbfgs method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS.set_positions", false]], "set_seed() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.set_seed", false]], "set_seed() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.set_seed", false]], "set_wigner() (ocpmodels.models.equiformer_v2.so3.so3_rotation method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Rotation.set_wigner", false]], "setup() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.setup", false]], "setup() (ocpmodels.tasks.task.basetask method)": [[124, "ocpmodels.tasks.task.BaseTask.setup", false]], "setup_experimental_imports() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.setup_experimental_imports", false]], "setup_gp() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.setup_gp", false]], "setup_imports() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.setup_imports", false]], "setup_logging() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.setup_logging", false]], "severitylevelbetween (class in ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.SeverityLevelBetween", false]], "sharded (ocpmodels.datasets.lmdb_dataset.lmdbdataset attribute)": [[27, "ocpmodels.datasets.lmdb_dataset.LmdbDataset.sharded", false]], "sharded (ocpmodels.datasets.lmdbdataset attribute)": [[25, "ocpmodels.datasets.LmdbDataset.sharded", false]], "shell (in module ocpmodels.preprocessing.atoms_to_graphs)": [[121, "ocpmodels.preprocessing.atoms_to_graphs.shell", false]], "sigmoidsmearing (class in ocpmodels.models.scn.smearing)": [[104, "ocpmodels.models.scn.smearing.SigmoidSmearing", false]], "silusmearing (class in ocpmodels.models.scn.smearing)": [[104, "ocpmodels.models.scn.smearing.SiLUSmearing", false]], "sine (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.Sine", false]], "sinesmearing (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.SINESmearing", false]], "singlepointlmdbdataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.SinglePointLmdbDataset", false]], "singlepointlmdbdataset (class in ocpmodels.datasets.lmdb_dataset)": [[27, "ocpmodels.datasets.lmdb_dataset.SinglePointLmdbDataset", false]], "siqu (class in ocpmodels.models.gemnet.layers.base_layers)": [[58, "ocpmodels.models.gemnet.layers.base_layers.SiQU", false]], "siqu (class in ocpmodels.models.gemnet_gp.layers.base_layers)": [[71, "ocpmodels.models.gemnet_gp.layers.base_layers.SiQU", false]], "siren (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.SIREN", false]], "smearing (ocpmodels.models.utils.basis.basis attribute)": [[107, "ocpmodels.models.utils.basis.Basis.smearing", false]], "smoothleakyrelu (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.SmoothLeakyReLU", false]], "so2_convolution (class in ocpmodels.models.equiformer_v2.so2_ops)": [[43, "ocpmodels.models.equiformer_v2.so2_ops.SO2_Convolution", false]], "so2_linear (class in ocpmodels.models.equiformer_v2.so2_ops)": [[43, "ocpmodels.models.equiformer_v2.so2_ops.SO2_Linear", false]], "so2_m_convolution (class in ocpmodels.models.equiformer_v2.so2_ops)": [[43, "ocpmodels.models.equiformer_v2.so2_ops.SO2_m_Convolution", false]], "so2block (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.SO2Block", false]], "so2conv (class in ocpmodels.models.escn.escn)": [[51, "ocpmodels.models.escn.escn.SO2Conv", false]], "so2equivariantgraphattention (class in ocpmodels.models.equiformer_v2.transformer_block)": [[49, "ocpmodels.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention", false]], "so3_embedding (class in ocpmodels.models.equiformer_v2.so3)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding", false]], "so3_embedding (class in ocpmodels.models.escn.so3)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding", false]], "so3_grid (class in ocpmodels.models.equiformer_v2.so3)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Grid", false]], "so3_grid (class in ocpmodels.models.escn.so3)": [[53, "ocpmodels.models.escn.so3.SO3_Grid", false]], "so3_linear (class in ocpmodels.models.equiformer_v2.so3)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Linear", false]], "so3_linearv2 (class in ocpmodels.models.equiformer_v2.so3)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_LinearV2", false]], "so3_rotation (class in ocpmodels.models.equiformer_v2.so3)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Rotation", false]], "so3_rotation (class in ocpmodels.models.escn.so3)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation", false]], "sph_harm_prefactor() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.sph_harm_prefactor", false]], "sph_harm_prefactor() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.sph_harm_prefactor", false]], "sph_harm_prefactor() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.sph_harm_prefactor", false]], "spherical_bessel_formulas() (in module ocpmodels.models.gemnet.layers.basis_utils)": [[59, "ocpmodels.models.gemnet.layers.basis_utils.spherical_bessel_formulas", false]], "spherical_bessel_formulas() (in module ocpmodels.models.gemnet_gp.layers.basis_utils)": [[72, "ocpmodels.models.gemnet_gp.layers.basis_utils.spherical_bessel_formulas", false]], "spherical_bessel_formulas() (in module ocpmodels.models.gemnet_oc.layers.basis_utils)": [[86, "ocpmodels.models.gemnet_oc.layers.basis_utils.spherical_bessel_formulas", false]], "sphericalbasislayer (class in ocpmodels.models.gemnet_oc.layers.spherical_basis)": [[93, "ocpmodels.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer", false]], "sphericalbesselbasis (class in ocpmodels.models.gemnet.layers.radial_basis)": [[64, "ocpmodels.models.gemnet.layers.radial_basis.SphericalBesselBasis", false]], "sphericalbesselbasis (class in ocpmodels.models.gemnet_gp.layers.radial_basis)": [[77, "ocpmodels.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis", false]], "sphericalbesselbasis (class in ocpmodels.models.gemnet_oc.layers.radial_basis)": [[92, "ocpmodels.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis", false]], "sphericalchannelnetwork (class in ocpmodels.models.scn)": [[101, "ocpmodels.models.scn.SphericalChannelNetwork", false]], "sphericalchannelnetwork (class in ocpmodels.models.scn.scn)": [[103, "ocpmodels.models.scn.scn.SphericalChannelNetwork", false]], "sphericalharmonicshelper (class in ocpmodels.models.scn.spherical_harmonics)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper", false]], "sphericalsmearing (class in ocpmodels.models.utils.basis)": [[107, "ocpmodels.models.utils.basis.SphericalSmearing", false]], "state_dict() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage.state_dict", false]], "state_dict() (ocpmodels.modules.normalizer.normalizer method)": [[113, "ocpmodels.modules.normalizer.Normalizer.state_dict", false]], "statefuldistributedsampler (class in ocpmodels.common.data_parallel)": [[1, "ocpmodels.common.data_parallel.StatefulDistributedSampler", false]], "stats (ocpmodels.modules.scaling.scale_factor.scalefactor attribute)": [[117, "ocpmodels.modules.scaling.scale_factor.ScaleFactor.stats", false]], "stats (ocpmodels.modules.scaling.scalefactor attribute)": [[116, "ocpmodels.modules.scaling.ScaleFactor.stats", false]], "step() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.lbfgs method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS.step", false]], "step() (ocpmodels.models.equiformer_v2.trainers.lr_scheduler.lrscheduler method)": [[48, "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.LRScheduler.step", false]], "step() (ocpmodels.modules.scheduler.lrscheduler method)": [[119, "ocpmodels.modules.scheduler.LRScheduler.step", false]], "store() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage.store", false]], "subselect_edges() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_edges", false]], "subselect_edges() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.subselect_edges", false]], "subselect_graph() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.subselect_graph", false]], "subselect_graph() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.subselect_graph", false]], "swiglu (class in ocpmodels.models.equiformer_v2.activation)": [[33, "ocpmodels.models.equiformer_v2.activation.SwiGLU", false]], "sym (in module ocpmodels.models.dimenet_plus_plus)": [[32, "ocpmodels.models.dimenet_plus_plus.sym", false]], "symmetrize_edges() (ocpmodels.models.gemnet_oc.gemnet_oc.gemnetoc method)": [[80, "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC.symmetrize_edges", false]], "symmetrize_edges() (ocpmodels.models.gemnet_oc.gemnetoc method)": [[81, "ocpmodels.models.gemnet_oc.GemNetOC.symmetrize_edges", false]], "symmetrize_edges() (ocpmodels.models.painn.painn method)": [[97, "ocpmodels.models.painn.PaiNN.symmetrize_edges", false]], "symmetrize_edges() (ocpmodels.models.painn.painn.painn method)": [[98, "ocpmodels.models.painn.painn.PaiNN.symmetrize_edges", false]], "synchronize() (in module ocpmodels.common.distutils)": [[2, "ocpmodels.common.distutils.synchronize", false]], "t_co (in module ocpmodels.datasets.lmdb_dataset)": [[27, "ocpmodels.datasets.lmdb_dataset.T_co", false]], "target_constant_shape() (in module ocpmodels.datasets.target_metadata_guesser)": [[29, "ocpmodels.datasets.target_metadata_guesser.target_constant_shape", false]], "target_extensive() (in module ocpmodels.datasets.target_metadata_guesser)": [[29, "ocpmodels.datasets.target_metadata_guesser.target_extensive", false]], "target_per_atom() (in module ocpmodels.datasets.target_metadata_guesser)": [[29, "ocpmodels.datasets.target_metadata_guesser.target_per_atom", false]], "task_metrics (ocpmodels.modules.evaluator.evaluator attribute)": [[109, "ocpmodels.modules.evaluator.Evaluator.task_metrics", false]], "task_primary_metric (ocpmodels.modules.evaluator.evaluator attribute)": [[109, "ocpmodels.modules.evaluator.Evaluator.task_primary_metric", false]], "tensorboardlogger (class in ocpmodels.common.logger)": [[7, "ocpmodels.common.logger.TensorboardLogger", false]], "to() (ocpmodels.modules.normalizer.normalizer method)": [[113, "ocpmodels.modules.normalizer.Normalizer.to", false]], "to_grid() (ocpmodels.models.equiformer_v2.so3.so3_embedding method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Embedding.to_grid", false]], "to_grid() (ocpmodels.models.equiformer_v2.so3.so3_grid method)": [[44, "ocpmodels.models.equiformer_v2.so3.SO3_Grid.to_grid", false]], "to_grid() (ocpmodels.models.escn.so3.so3_embedding method)": [[53, "ocpmodels.models.escn.so3.SO3_Embedding.to_grid", false]], "to_grid() (ocpmodels.models.escn.so3.so3_grid method)": [[53, "ocpmodels.models.escn.so3.SO3_Grid.to_grid", false]], "togrid() (ocpmodels.models.scn.spherical_harmonics.sphericalharmonicshelper method)": [[105, "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper.ToGrid", false]], "torchcalc (class in ocpmodels.common.relaxation.optimizers.lbfgs_torch)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.TorchCalc", false]], "train() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.train", false]], "train() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.train", false]], "train() (ocpmodels.trainers.ocp_trainer.ocptrainer method)": [[127, "ocpmodels.trainers.ocp_trainer.OCPTrainer.train", false]], "train() (ocpmodels.trainers.ocptrainer method)": [[126, "ocpmodels.trainers.OCPTrainer.train", false]], "train_test_val_split() (in module ocpmodels.common.tutorial_utils)": [[15, "ocpmodels.common.tutorial_utils.train_test_val_split", false]], "traintask (class in ocpmodels.tasks)": [[123, "ocpmodels.tasks.TrainTask", false]], "traintask (class in ocpmodels.tasks.task)": [[124, "ocpmodels.tasks.task.TrainTask", false]], "trajectorylmdbdataset (class in ocpmodels.datasets)": [[25, "ocpmodels.datasets.TrajectoryLmdbDataset", false]], "trajectorylmdbdataset (class in ocpmodels.datasets.lmdb_dataset)": [[27, "ocpmodels.datasets.lmdb_dataset.TrajectoryLmdbDataset", false]], "transblockv2 (class in ocpmodels.models.equiformer_v2.transformer_block)": [[49, "ocpmodels.models.equiformer_v2.transformer_block.TransBlockV2", false]], "trim_tensor() (in module ocpmodels.common.gp_utils)": [[4, "ocpmodels.common.gp_utils.trim_tensor", false]], "tripletinteraction (class in ocpmodels.models.gemnet.layers.interaction_block)": [[63, "ocpmodels.models.gemnet.layers.interaction_block.TripletInteraction", false]], "tripletinteraction (class in ocpmodels.models.gemnet_gp.layers.interaction_block)": [[76, "ocpmodels.models.gemnet_gp.layers.interaction_block.TripletInteraction", false]], "tripletinteraction (class in ocpmodels.models.gemnet_oc.layers.interaction_block)": [[91, "ocpmodels.models.gemnet_oc.layers.interaction_block.TripletInteraction", false]], "triplets() (ocpmodels.models.dimenet_plus_plus.dimenetplusplus method)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlus.triplets", false]], "tune_reporter() (in module ocpmodels.common.hpo_utils)": [[5, "ocpmodels.common.hpo_utils.tune_reporter", false]], "uniform_atoms_lengths() (in module ocpmodels.datasets.target_metadata_guesser)": [[29, "ocpmodels.datasets.target_metadata_guesser.uniform_atoms_lengths", false]], "unregister() (ocpmodels.common.registry.registry class method)": [[8, "ocpmodels.common.registry.Registry.unregister", false]], "unscale() (ocpmodels.models.gemnet_oc.layers.force_scaler.forcescaler method)": [[89, "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler.unscale", false]], "update() (ocpmodels.models.gemnet_oc.layers.force_scaler.forcescaler method)": [[89, "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler.update", false]], "update() (ocpmodels.models.painn.painn.painnmessage method)": [[98, "ocpmodels.models.painn.painn.PaiNNMessage.update", false]], "update() (ocpmodels.modules.evaluator.evaluator method)": [[109, "ocpmodels.modules.evaluator.Evaluator.update", false]], "update() (ocpmodels.modules.exponential_moving_average.exponentialmovingaverage method)": [[110, "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage.update", false]], "update_best() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.update_best", false]], "update_best() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.update_best", false]], "update_config() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.update_config", false]], "update_graph() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.torchcalc method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.TorchCalc.update_graph", false]], "update_json() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.update_json", false]], "update_json() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.update_json", false]], "url (ocpmodels.models.dimenet_plus_plus.dimenetplusplus attribute)": [[32, "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlus.url", false]], "validate() (ocpmodels.trainers.base_trainer.basetrainer method)": [[125, "ocpmodels.trainers.base_trainer.BaseTrainer.validate", false]], "validate() (ocpmodels.trainers.basetrainer method)": [[126, "ocpmodels.trainers.BaseTrainer.validate", false]], "validatetask (class in ocpmodels.tasks)": [[123, "ocpmodels.tasks.ValidateTask", false]], "validatetask (class in ocpmodels.tasks.task)": [[124, "ocpmodels.tasks.task.ValidateTask", false]], "variance_in (ocpmodels.modules.scaling.scale_factor._stats attribute)": [[117, "ocpmodels.modules.scaling.scale_factor._Stats.variance_in", false]], "variance_out (ocpmodels.modules.scaling.scale_factor._stats attribute)": [[117, "ocpmodels.modules.scaling.scale_factor._Stats.variance_out", false]], "vector_rejection() (in module ocpmodels.models.gemnet_oc.utils)": [[94, "ocpmodels.models.gemnet_oc.utils.vector_rejection", false]], "wandblogger (class in ocpmodels.common.logger)": [[7, "ocpmodels.common.logger.WandBLogger", false]], "warmup_lr_lambda() (in module ocpmodels.common.utils)": [[17, "ocpmodels.common.utils.warmup_lr_lambda", false]], "watch() (ocpmodels.common.logger.logger method)": [[7, "ocpmodels.common.logger.Logger.watch", false]], "watch() (ocpmodels.common.logger.tensorboardlogger method)": [[7, "ocpmodels.common.logger.TensorboardLogger.watch", false]], "watch() (ocpmodels.common.logger.wandblogger method)": [[7, "ocpmodels.common.logger.WandBLogger.watch", false]], "weight (ocpmodels.models.gemnet_oc.layers.efficient.basisembedding attribute)": [[87, "ocpmodels.models.gemnet_oc.layers.efficient.BasisEmbedding.weight", false]], "wigner_d() (in module ocpmodels.models.equiformer_v2.wigner)": [[50, "ocpmodels.models.equiformer_v2.wigner.wigner_D", false]], "wigner_d() (in module ocpmodels.models.scn.spherical_harmonics)": [[105, "ocpmodels.models.scn.spherical_harmonics.wigner_D", false]], "wigner_d() (ocpmodels.models.escn.so3.so3_rotation method)": [[53, "ocpmodels.models.escn.so3.SO3_Rotation.wigner_D", false]], "write() (ocpmodels.common.relaxation.optimizers.lbfgs_torch.lbfgs method)": [[13, "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS.write", false]], "write_json() (in module ocpmodels.models.gemnet.utils)": [[66, "ocpmodels.models.gemnet.utils.write_json", false]], "write_json() (in module ocpmodels.models.gemnet_gp.utils)": [[79, "ocpmodels.models.gemnet_gp.utils.write_json", false]]}, "objects": {"": [[30, 0, 0, "-", "ocpmodels"]], "ocpmodels": [[30, 1, 1, "", "__version__"], [6, 0, 0, "-", "common"], [25, 0, 0, "-", "datasets"], [95, 0, 0, "-", "models"], [111, 0, 0, "-", "modules"], [122, 0, 0, "-", "preprocessing"], [123, 0, 0, "-", "tasks"], [126, 0, 0, "-", "trainers"]], "ocpmodels.common": [[1, 0, 0, "-", "data_parallel"], [2, 0, 0, "-", "distutils"], [3, 0, 0, "-", "flags"], [4, 0, 0, "-", "gp_utils"], [5, 0, 0, "-", "hpo_utils"], [7, 0, 0, "-", "logger"], [8, 0, 0, "-", "registry"], [10, 0, 0, "-", "relaxation"], [14, 0, 0, "-", "transforms"], [15, 0, 0, "-", "tutorial_utils"], [16, 0, 0, "-", "typing"], [17, 0, 0, "-", "utils"]], "ocpmodels.common.data_parallel": [[1, 2, 1, "", "BalancedBatchSampler"], [1, 2, 1, "", "OCPCollater"], [1, 2, 1, "", "StatefulDistributedSampler"], [1, 2, 1, "", "_HasMetadata"], [1, 5, 1, "", "balanced_partition"]], "ocpmodels.common.data_parallel.BalancedBatchSampler": [[1, 3, 1, "", "__iter__"], [1, 3, 1, "", "__len__"], [1, 3, 1, "", "_load_dataset"], [1, 3, 1, "", "set_epoch_and_start_iteration"]], "ocpmodels.common.data_parallel.OCPCollater": [[1, 3, 1, "", "__call__"]], "ocpmodels.common.data_parallel.StatefulDistributedSampler": [[1, 3, 1, "", "__iter__"], [1, 3, 1, "", "set_epoch_and_start_iteration"]], "ocpmodels.common.data_parallel._HasMetadata": [[1, 4, 1, "", "metadata_path"]], "ocpmodels.common.distutils": [[2, 5, 1, "", "all_gather"], [2, 5, 1, "", "all_reduce"], [2, 5, 1, "", "broadcast"], [2, 5, 1, "", "cleanup"], [2, 5, 1, "", "get_rank"], [2, 5, 1, "", "get_world_size"], [2, 5, 1, "", "initialized"], [2, 5, 1, "", "is_master"], [2, 5, 1, "", "os_environ_get_or_throw"], [2, 5, 1, "", "setup"], [2, 5, 1, "", "synchronize"]], "ocpmodels.common.flags": [[3, 2, 1, "", "Flags"], [3, 1, 1, "", "flags"]], "ocpmodels.common.flags.Flags": [[3, 3, 1, "", "add_core_args"], [3, 3, 1, "", "get_parser"]], "ocpmodels.common.gp_utils": [[4, 2, 1, "", "CopyToModelParallelRegion"], [4, 2, 1, "", "GatherFromModelParallelRegion"], [4, 2, 1, "", "ReduceFromModelParallelRegion"], [4, 2, 1, "", "ScatterToModelParallelRegion"], [4, 1, 1, "", "_DATA_PARALLEL_GROUP"], [4, 1, 1, "", "_GRAPH_PARALLEL_GROUP"], [4, 5, 1, "", "_gather"], [4, 5, 1, "", "_gather_with_padding"], [4, 5, 1, "", "_reduce"], [4, 5, 1, "", "_split"], [4, 5, 1, "", "_split_tensor"], [4, 5, 1, "", "cleanup_gp"], [4, 5, 1, "", "copy_to_model_parallel_region"], [4, 5, 1, "", "divide_and_check_no_remainder"], [4, 5, 1, "", "ensure_div"], [4, 5, 1, "", "gather_from_model_parallel_region"], [4, 5, 1, "", "get_dp_group"], [4, 5, 1, "", "get_dp_rank"], [4, 5, 1, "", "get_dp_world_size"], [4, 5, 1, "", "get_gp_group"], [4, 5, 1, "", "get_gp_rank"], [4, 5, 1, "", "get_gp_world_size"], [4, 5, 1, "", "initialized"], [4, 5, 1, "", "pad_tensor"], [4, 5, 1, "", "reduce_from_model_parallel_region"], [4, 5, 1, "", "scatter_to_model_parallel_region"], [4, 5, 1, "", "setup_gp"], [4, 5, 1, "", "trim_tensor"]], "ocpmodels.common.gp_utils.CopyToModelParallelRegion": [[4, 3, 1, "", "backward"], [4, 3, 1, "", "forward"]], "ocpmodels.common.gp_utils.GatherFromModelParallelRegion": [[4, 3, 1, "", "backward"], [4, 3, 1, "", "forward"]], "ocpmodels.common.gp_utils.ReduceFromModelParallelRegion": [[4, 3, 1, "", "backward"], [4, 3, 1, "", "forward"]], "ocpmodels.common.gp_utils.ScatterToModelParallelRegion": [[4, 3, 1, "", "backward"], [4, 3, 1, "", "forward"]], "ocpmodels.common.hpo_utils": [[5, 5, 1, "", "label_metric_dict"], [5, 5, 1, "", "tune_reporter"]], "ocpmodels.common.logger": [[7, 2, 1, "", "Logger"], [7, 2, 1, "", "TensorboardLogger"], [7, 2, 1, "", "WandBLogger"]], "ocpmodels.common.logger.Logger": [[7, 3, 1, "", "log"], [7, 3, 1, "", "log_plots"], [7, 3, 1, "", "mark_preempting"], [7, 3, 1, "", "watch"]], "ocpmodels.common.logger.TensorboardLogger": [[7, 3, 1, "", "log"], [7, 3, 1, "", "log_plots"], [7, 3, 1, "", "mark_preempting"], [7, 3, 1, "", "watch"]], "ocpmodels.common.logger.WandBLogger": [[7, 3, 1, "", "log"], [7, 3, 1, "", "log_plots"], [7, 3, 1, "", "mark_preempting"], [7, 3, 1, "", "watch"]], "ocpmodels.common.registry": [[8, 1, 1, "", "NestedDict"], [8, 1, 1, "", "R"], [8, 2, 1, "", "Registry"], [8, 5, 1, "", "_get_absolute_mapping"], [8, 1, 1, "", "registry"]], "ocpmodels.common.registry.Registry": [[8, 3, 1, "", "__import_error"], [8, 3, 1, "", "get"], [8, 3, 1, "", "get_class"], [8, 3, 1, "", "get_dataset_class"], [8, 3, 1, "", "get_logger_class"], [8, 3, 1, "", "get_model_class"], [8, 3, 1, "", "get_task_class"], [8, 3, 1, "", "get_trainer_class"], [8, 6, 1, "", "mapping"], [8, 3, 1, "", "register"], [8, 3, 1, "", "register_dataset"], [8, 3, 1, "", "register_logger"], [8, 3, 1, "", "register_model"], [8, 3, 1, "", "register_task"], [8, 3, 1, "", "register_trainer"], [8, 3, 1, "", "unregister"]], "ocpmodels.common.relaxation": [[9, 0, 0, "-", "ase_utils"], [11, 0, 0, "-", "ml_relaxation"], [12, 0, 0, "-", "optimizers"]], "ocpmodels.common.relaxation.ase_utils": [[9, 2, 1, "", "OCPCalculator"], [9, 5, 1, "", "batch_to_atoms"]], "ocpmodels.common.relaxation.ase_utils.OCPCalculator": [[9, 3, 1, "", "calculate"], [9, 6, 1, "", "implemented_properties"], [9, 3, 1, "", "load_checkpoint"]], "ocpmodels.common.relaxation.ml_relaxation": [[11, 5, 1, "", "ml_relax"]], "ocpmodels.common.relaxation.optimizers": [[13, 0, 0, "-", "lbfgs_torch"]], "ocpmodels.common.relaxation.optimizers.lbfgs_torch": [[13, 2, 1, "", "LBFGS"], [13, 2, 1, "", "TorchCalc"]], "ocpmodels.common.relaxation.optimizers.lbfgs_torch.LBFGS": [[13, 3, 1, "", "check_convergence"], [13, 3, 1, "", "get_energy_and_forces"], [13, 3, 1, "", "run"], [13, 3, 1, "", "set_positions"], [13, 3, 1, "", "step"], [13, 3, 1, "", "write"]], "ocpmodels.common.relaxation.optimizers.lbfgs_torch.TorchCalc": [[13, 3, 1, "", "get_energy_and_forces"], [13, 3, 1, "", "update_graph"]], "ocpmodels.common.transforms": [[14, 2, 1, "", "RandomRotate"]], "ocpmodels.common.transforms.RandomRotate": [[14, 3, 1, "", "__call__"], [14, 3, 1, "", "__repr__"]], "ocpmodels.common.tutorial_utils": [[15, 5, 1, "", "describe_ocp"], [15, 5, 1, "", "generate_yml_config"], [15, 5, 1, "", "ocp_main"], [15, 5, 1, "", "ocp_root"], [15, 5, 1, "", "train_test_val_split"]], "ocpmodels.common.typing": [[16, 1, 1, "", "_T"], [16, 5, 1, "", "assert_is_instance"], [16, 5, 1, "", "none_throws"]], "ocpmodels.common.utils": [[17, 2, 1, "", "Complete"], [17, 2, 1, "", "SeverityLevelBetween"], [17, 5, 1, "", "_get_project_root"], [17, 5, 1, "", "_import_local_file"], [17, 5, 1, "", "_report_incompat_keys"], [17, 5, 1, "", "_resolve_scale_factor_submodule"], [17, 5, 1, "", "add_edge_distance_to_graph"], [17, 5, 1, "", "build_config"], [17, 5, 1, "", "cg_change_mat"], [17, 5, 1, "", "check_traj_files"], [17, 5, 1, "", "collate"], [17, 5, 1, "", "compute_neighbors"], [17, 5, 1, "", "conditional_grad"], [17, 5, 1, "", "create_dict_from_args"], [17, 5, 1, "", "create_grid"], [17, 5, 1, "", "dict_set_recursively"], [17, 5, 1, "", "get_commit_hash"], [17, 5, 1, "", "get_loss_module"], [17, 5, 1, "", "get_max_neighbors_mask"], [17, 5, 1, "", "get_pbc_distances"], [17, 5, 1, "", "get_pruned_edge_idx"], [17, 5, 1, "", "irreps_sum"], [17, 5, 1, "", "load_config"], [17, 5, 1, "", "load_state_dict"], [17, 5, 1, "", "merge_dicts"], [17, 5, 1, "", "new_trainer_context"], [17, 5, 1, "", "parse_value"], [17, 5, 1, "", "plot_histogram"], [17, 5, 1, "", "print_cuda_usage"], [17, 5, 1, "", "pyg2_data_transform"], [17, 5, 1, "", "radius_graph_pbc"], [17, 5, 1, "", "save_checkpoint"], [17, 5, 1, "", "save_experiment_log"], [17, 5, 1, "", "scatter_det"], [17, 5, 1, "", "setup_experimental_imports"], [17, 5, 1, "", "setup_imports"], [17, 5, 1, "", "setup_logging"], [17, 5, 1, "", "update_config"], [17, 5, 1, "", "warmup_lr_lambda"]], "ocpmodels.common.utils.Complete": [[17, 3, 1, "", "__call__"]], "ocpmodels.common.utils.SeverityLevelBetween": [[17, 3, 1, "", "filter"]], "ocpmodels.datasets": [[25, 2, 1, "", "AseDBDataset"], [25, 2, 1, "", "AseReadDataset"], [25, 2, 1, "", "AseReadMultiStructureDataset"], [25, 2, 1, "", "LMDBDatabase"], [25, 2, 1, "", "LmdbDataset"], [25, 2, 1, "", "OC22LmdbDataset"], [25, 2, 1, "", "SinglePointLmdbDataset"], [25, 2, 1, "", "TrajectoryLmdbDataset"], [18, 0, 0, "-", "_utils"], [19, 0, 0, "-", "ase_datasets"], [25, 5, 1, "", "data_list_collater"], [22, 0, 0, "-", "embeddings"], [26, 0, 0, "-", "lmdb_database"], [27, 0, 0, "-", "lmdb_dataset"], [28, 0, 0, "-", "oc22_lmdb_dataset"], [29, 0, 0, "-", "target_metadata_guesser"]], "ocpmodels.datasets.AseDBDataset": [[25, 3, 1, "", "_load_dataset_get_ids"], [25, 3, 1, "", "close_db"], [25, 3, 1, "", "connect_db"], [25, 3, 1, "", "get_atoms"], [25, 3, 1, "", "get_metadata"], [25, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.AseReadDataset": [[25, 3, 1, "", "_load_dataset_get_ids"], [25, 3, 1, "", "get_atoms"], [25, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.AseReadMultiStructureDataset": [[25, 3, 1, "", "_load_dataset_get_ids"], [25, 3, 1, "", "get_atoms"], [25, 3, 1, "", "get_metadata"], [25, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.LMDBDatabase": [[25, 3, 1, "", "__enter__"], [25, 3, 1, "", "__exit__"], [25, 3, 1, "", "_get_row"], [25, 3, 1, "", "_get_row_by_index"], [25, 3, 1, "", "_load_ids"], [25, 4, 1, "", "_nextid"], [25, 3, 1, "", "_select"], [25, 3, 1, "", "_update"], [25, 3, 1, "", "_write"], [25, 3, 1, "", "_write_deleted_ids"], [25, 3, 1, "", "close"], [25, 3, 1, "", "count"], [25, 3, 1, "", "delete"], [25, 4, 1, "", "metadata"]], "ocpmodels.datasets.LmdbDataset": [[25, 3, 1, "", "__getitem__"], [25, 3, 1, "", "__len__"], [25, 3, 1, "", "close_db"], [25, 3, 1, "", "connect_db"], [25, 3, 1, "", "get_metadata"], [25, 6, 1, "", "metadata_path"], [25, 6, 1, "", "sharded"]], "ocpmodels.datasets.OC22LmdbDataset": [[25, 3, 1, "", "__getitem__"], [25, 3, 1, "", "__len__"], [25, 3, 1, "", "close_db"], [25, 3, 1, "", "connect_db"]], "ocpmodels.datasets._utils": [[18, 5, 1, "", "rename_data_object_keys"]], "ocpmodels.datasets.ase_datasets": [[19, 2, 1, "", "AseAtomsDataset"], [19, 2, 1, "", "AseDBDataset"], [19, 2, 1, "", "AseReadDataset"], [19, 2, 1, "", "AseReadMultiStructureDataset"], [19, 5, 1, "", "apply_one_tags"]], "ocpmodels.datasets.ase_datasets.AseAtomsDataset": [[19, 3, 1, "", "__getitem__"], [19, 3, 1, "", "__len__"], [19, 3, 1, "", "_load_dataset_get_ids"], [19, 3, 1, "", "close_db"], [19, 3, 1, "", "get_atoms"], [19, 3, 1, "", "get_metadata"], [19, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.ase_datasets.AseDBDataset": [[19, 3, 1, "", "_load_dataset_get_ids"], [19, 3, 1, "", "close_db"], [19, 3, 1, "", "connect_db"], [19, 3, 1, "", "get_atoms"], [19, 3, 1, "", "get_metadata"], [19, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.ase_datasets.AseReadDataset": [[19, 3, 1, "", "_load_dataset_get_ids"], [19, 3, 1, "", "get_atoms"], [19, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.ase_datasets.AseReadMultiStructureDataset": [[19, 3, 1, "", "_load_dataset_get_ids"], [19, 3, 1, "", "get_atoms"], [19, 3, 1, "", "get_metadata"], [19, 3, 1, "", "get_relaxed_energy"]], "ocpmodels.datasets.embeddings": [[22, 1, 1, "", "ATOMIC_RADII"], [22, 1, 1, "", "CONTINUOUS_EMBEDDINGS"], [22, 1, 1, "", "KHOT_EMBEDDINGS"], [22, 1, 1, "", "QMOF_KHOT_EMBEDDINGS"], [20, 0, 0, "-", "atomic_radii"], [21, 0, 0, "-", "continuous_embeddings"], [23, 0, 0, "-", "khot_embeddings"], [24, 0, 0, "-", "qmof_khot_embeddings"]], "ocpmodels.datasets.embeddings.atomic_radii": [[20, 1, 1, "", "ATOMIC_RADII"]], "ocpmodels.datasets.embeddings.continuous_embeddings": [[21, 1, 1, "", "CONTINUOUS_EMBEDDINGS"]], "ocpmodels.datasets.embeddings.khot_embeddings": [[23, 1, 1, "", "KHOT_EMBEDDINGS"]], "ocpmodels.datasets.embeddings.qmof_khot_embeddings": [[24, 1, 1, "", "QMOF_KHOT_EMBEDDINGS"]], "ocpmodels.datasets.lmdb_database": [[26, 2, 1, "", "LMDBDatabase"], [26, 1, 1, "", "RESERVED_KEYS"]], "ocpmodels.datasets.lmdb_database.LMDBDatabase": [[26, 3, 1, "", "__enter__"], [26, 3, 1, "", "__exit__"], [26, 3, 1, "", "_get_row"], [26, 3, 1, "", "_get_row_by_index"], [26, 3, 1, "", "_load_ids"], [26, 4, 1, "", "_nextid"], [26, 3, 1, "", "_select"], [26, 3, 1, "", "_update"], [26, 3, 1, "", "_write"], [26, 3, 1, "", "_write_deleted_ids"], [26, 3, 1, "", "close"], [26, 3, 1, "", "count"], [26, 3, 1, "", "delete"], [26, 4, 1, "", "metadata"]], "ocpmodels.datasets.lmdb_dataset": [[27, 2, 1, "", "LmdbDataset"], [27, 2, 1, "", "SinglePointLmdbDataset"], [27, 1, 1, "", "T_co"], [27, 2, 1, "", "TrajectoryLmdbDataset"], [27, 5, 1, "", "data_list_collater"]], "ocpmodels.datasets.lmdb_dataset.LmdbDataset": [[27, 3, 1, "", "__getitem__"], [27, 3, 1, "", "__len__"], [27, 3, 1, "", "close_db"], [27, 3, 1, "", "connect_db"], [27, 3, 1, "", "get_metadata"], [27, 6, 1, "", "metadata_path"], [27, 6, 1, "", "sharded"]], "ocpmodels.datasets.oc22_lmdb_dataset": [[28, 2, 1, "", "OC22LmdbDataset"]], "ocpmodels.datasets.oc22_lmdb_dataset.OC22LmdbDataset": [[28, 3, 1, "", "__getitem__"], [28, 3, 1, "", "__len__"], [28, 3, 1, "", "close_db"], [28, 3, 1, "", "connect_db"]], "ocpmodels.datasets.target_metadata_guesser": [[29, 5, 1, "", "guess_property_metadata"], [29, 5, 1, "", "guess_target_metadata"], [29, 5, 1, "", "target_constant_shape"], [29, 5, 1, "", "target_extensive"], [29, 5, 1, "", "target_per_atom"], [29, 5, 1, "", "uniform_atoms_lengths"]], "ocpmodels.models": [[95, 1, 1, "", "available_pretrained_models"], [31, 0, 0, "-", "base"], [32, 0, 0, "-", "dimenet_plus_plus"], [38, 0, 0, "-", "equiformer_v2"], [52, 0, 0, "-", "escn"], [55, 0, 0, "-", "gemnet"], [68, 0, 0, "-", "gemnet_gp"], [81, 0, 0, "-", "gemnet_oc"], [95, 5, 1, "", "model_name_to_local_file"], [96, 0, 0, "-", "model_registry"], [97, 0, 0, "-", "painn"], [100, 0, 0, "-", "schnet"], [101, 0, 0, "-", "scn"], [108, 0, 0, "-", "utils"]], "ocpmodels.models.base": [[31, 2, 1, "", "BaseModel"]], "ocpmodels.models.base.BaseModel": [[31, 3, 1, "", "forward"], [31, 3, 1, "", "generate_graph"], [31, 3, 1, "", "no_weight_decay"], [31, 4, 1, "", "num_params"]], "ocpmodels.models.dimenet_plus_plus": [[32, 2, 1, "", "DimeNetPlusPlus"], [32, 2, 1, "", "DimeNetPlusPlusWrap"], [32, 2, 1, "", "InteractionPPBlock"], [32, 2, 1, "", "OutputPPBlock"], [32, 1, 1, "", "sym"]], "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlus": [[32, 3, 1, "", "forward"], [32, 3, 1, "", "reset_parameters"], [32, 3, 1, "", "triplets"], [32, 6, 1, "", "url"]], "ocpmodels.models.dimenet_plus_plus.DimeNetPlusPlusWrap": [[32, 3, 1, "", "_forward"], [32, 3, 1, "", "forward"], [32, 4, 1, "", "num_params"]], "ocpmodels.models.dimenet_plus_plus.InteractionPPBlock": [[32, 3, 1, "", "forward"], [32, 3, 1, "", "reset_parameters"]], "ocpmodels.models.dimenet_plus_plus.OutputPPBlock": [[32, 3, 1, "", "forward"], [32, 3, 1, "", "reset_parameters"]], "ocpmodels.models.equiformer_v2": [[38, 2, 1, "", "EquiformerV2"], [33, 0, 0, "-", "activation"], [34, 0, 0, "-", "drop"], [35, 0, 0, "-", "edge_rot_mat"], [36, 0, 0, "-", "equiformer_v2_oc20"], [37, 0, 0, "-", "gaussian_rbf"], [39, 0, 0, "-", "input_block"], [40, 0, 0, "-", "layer_norm"], [41, 0, 0, "-", "module_list"], [42, 0, 0, "-", "radial_function"], [43, 0, 0, "-", "so2_ops"], [44, 0, 0, "-", "so3"], [47, 0, 0, "-", "trainers"], [49, 0, 0, "-", "transformer_block"], [50, 0, 0, "-", "wigner"]], "ocpmodels.models.equiformer_v2.EquiformerV2": [[38, 3, 1, "", "_init_edge_rot_mat"], [38, 3, 1, "", "_init_weights"], [38, 3, 1, "", "_uniform_init_linear_weights"], [38, 3, 1, "", "_uniform_init_rad_func_linear_weights"], [38, 3, 1, "", "forward"], [38, 3, 1, "", "no_weight_decay"], [38, 4, 1, "", "num_params"]], "ocpmodels.models.equiformer_v2.activation": [[33, 2, 1, "", "GateActivation"], [33, 2, 1, "", "S2Activation"], [33, 2, 1, "", "ScaledSiLU"], [33, 2, 1, "", "ScaledSigmoid"], [33, 2, 1, "", "ScaledSmoothLeakyReLU"], [33, 2, 1, "", "ScaledSwiGLU"], [33, 2, 1, "", "SeparableS2Activation"], [33, 2, 1, "", "SmoothLeakyReLU"], [33, 2, 1, "", "SwiGLU"]], "ocpmodels.models.equiformer_v2.activation.GateActivation": [[33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.S2Activation": [[33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.ScaledSiLU": [[33, 3, 1, "", "extra_repr"], [33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.ScaledSigmoid": [[33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.ScaledSmoothLeakyReLU": [[33, 3, 1, "", "extra_repr"], [33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.ScaledSwiGLU": [[33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.SeparableS2Activation": [[33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.SmoothLeakyReLU": [[33, 3, 1, "", "extra_repr"], [33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.activation.SwiGLU": [[33, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.drop": [[34, 2, 1, "", "DropPath"], [34, 2, 1, "", "EquivariantDropout"], [34, 2, 1, "", "EquivariantDropoutArraySphericalHarmonics"], [34, 2, 1, "", "EquivariantScalarsDropout"], [34, 2, 1, "", "GraphDropPath"], [34, 5, 1, "", "drop_path"]], "ocpmodels.models.equiformer_v2.drop.DropPath": [[34, 3, 1, "", "extra_repr"], [34, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.drop.EquivariantDropout": [[34, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.drop.EquivariantDropoutArraySphericalHarmonics": [[34, 3, 1, "", "extra_repr"], [34, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.drop.EquivariantScalarsDropout": [[34, 3, 1, "", "extra_repr"], [34, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.drop.GraphDropPath": [[34, 3, 1, "", "extra_repr"], [34, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.edge_rot_mat": [[35, 5, 1, "", "init_edge_rot_mat"]], "ocpmodels.models.equiformer_v2.equiformer_v2_oc20": [[36, 2, 1, "", "EquiformerV2_OC20"], [36, 1, 1, "", "_AVG_DEGREE"], [36, 1, 1, "", "_AVG_NUM_NODES"]], "ocpmodels.models.equiformer_v2.equiformer_v2_oc20.EquiformerV2_OC20": [[36, 3, 1, "", "_init_edge_rot_mat"], [36, 3, 1, "", "_init_weights"], [36, 3, 1, "", "_uniform_init_linear_weights"], [36, 3, 1, "", "_uniform_init_rad_func_linear_weights"], [36, 3, 1, "", "forward"], [36, 3, 1, "", "no_weight_decay"], [36, 4, 1, "", "num_params"]], "ocpmodels.models.equiformer_v2.gaussian_rbf": [[37, 2, 1, "", "GaussianRadialBasisLayer"], [37, 5, 1, "", "gaussian"]], "ocpmodels.models.equiformer_v2.gaussian_rbf.GaussianRadialBasisLayer": [[37, 3, 1, "", "extra_repr"], [37, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.input_block": [[39, 2, 1, "", "EdgeDegreeEmbedding"]], "ocpmodels.models.equiformer_v2.input_block.EdgeDegreeEmbedding": [[39, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.layer_norm": [[40, 2, 1, "", "EquivariantDegreeLayerScale"], [40, 2, 1, "", "EquivariantLayerNormArray"], [40, 2, 1, "", "EquivariantLayerNormArraySphericalHarmonics"], [40, 2, 1, "", "EquivariantRMSNormArraySphericalHarmonics"], [40, 2, 1, "", "EquivariantRMSNormArraySphericalHarmonicsV2"], [40, 5, 1, "", "get_l_to_all_m_expand_index"], [40, 5, 1, "", "get_normalization_layer"]], "ocpmodels.models.equiformer_v2.layer_norm.EquivariantDegreeLayerScale": [[40, 3, 1, "", "__repr__"], [40, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArray": [[40, 3, 1, "", "__repr__"], [40, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.layer_norm.EquivariantLayerNormArraySphericalHarmonics": [[40, 3, 1, "", "__repr__"], [40, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonics": [[40, 3, 1, "", "__repr__"], [40, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.layer_norm.EquivariantRMSNormArraySphericalHarmonicsV2": [[40, 3, 1, "", "__repr__"], [40, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.module_list": [[41, 2, 1, "", "ModuleListInfo"]], "ocpmodels.models.equiformer_v2.module_list.ModuleListInfo": [[41, 3, 1, "", "__repr__"]], "ocpmodels.models.equiformer_v2.radial_function": [[42, 2, 1, "", "RadialFunction"]], "ocpmodels.models.equiformer_v2.radial_function.RadialFunction": [[42, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.so2_ops": [[43, 2, 1, "", "SO2_Convolution"], [43, 2, 1, "", "SO2_Linear"], [43, 2, 1, "", "SO2_m_Convolution"]], "ocpmodels.models.equiformer_v2.so2_ops.SO2_Convolution": [[43, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.so2_ops.SO2_Linear": [[43, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.so2_ops.SO2_m_Convolution": [[43, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.so3": [[44, 2, 1, "", "CoefficientMappingModule"], [44, 2, 1, "", "SO3_Embedding"], [44, 2, 1, "", "SO3_Grid"], [44, 2, 1, "", "SO3_Linear"], [44, 2, 1, "", "SO3_LinearV2"], [44, 2, 1, "", "SO3_Rotation"]], "ocpmodels.models.equiformer_v2.so3.CoefficientMappingModule": [[44, 3, 1, "", "__repr__"], [44, 3, 1, "", "coefficient_idx"], [44, 3, 1, "", "complex_idx"], [44, 3, 1, "", "get_rotate_inv_rescale"]], "ocpmodels.models.equiformer_v2.so3.SO3_Embedding": [[44, 3, 1, "", "_expand_edge"], [44, 3, 1, "", "_from_grid"], [44, 3, 1, "", "_grid_act"], [44, 3, 1, "", "_l_primary"], [44, 3, 1, "", "_m_primary"], [44, 3, 1, "", "_reduce_edge"], [44, 3, 1, "", "_rotate"], [44, 3, 1, "", "_rotate_inv"], [44, 3, 1, "", "clone"], [44, 3, 1, "", "expand_edge"], [44, 3, 1, "", "set_embedding"], [44, 3, 1, "", "set_lmax_mmax"], [44, 3, 1, "", "to_grid"]], "ocpmodels.models.equiformer_v2.so3.SO3_Grid": [[44, 3, 1, "", "from_grid"], [44, 3, 1, "", "get_from_grid_mat"], [44, 3, 1, "", "get_to_grid_mat"], [44, 3, 1, "", "to_grid"]], "ocpmodels.models.equiformer_v2.so3.SO3_Linear": [[44, 3, 1, "", "__repr__"], [44, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.so3.SO3_LinearV2": [[44, 3, 1, "", "__repr__"], [44, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.so3.SO3_Rotation": [[44, 3, 1, "", "RotationToWignerDMatrix"], [44, 3, 1, "", "rotate"], [44, 3, 1, "", "rotate_inv"], [44, 3, 1, "", "set_wigner"]], "ocpmodels.models.equiformer_v2.trainers": [[45, 0, 0, "-", "energy_trainer"], [46, 0, 0, "-", "forces_trainer"], [48, 0, 0, "-", "lr_scheduler"]], "ocpmodels.models.equiformer_v2.trainers.energy_trainer": [[45, 2, 1, "", "EquiformerV2EnergyTrainer"]], "ocpmodels.models.equiformer_v2.trainers.energy_trainer.EquiformerV2EnergyTrainer": [[45, 3, 1, "", "load_extras"]], "ocpmodels.models.equiformer_v2.trainers.forces_trainer": [[46, 2, 1, "", "EquiformerV2ForcesTrainer"]], "ocpmodels.models.equiformer_v2.trainers.forces_trainer.EquiformerV2ForcesTrainer": [[46, 3, 1, "", "load_extras"]], "ocpmodels.models.equiformer_v2.trainers.lr_scheduler": [[48, 2, 1, "", "CosineLRLambda"], [48, 2, 1, "", "LRScheduler"], [48, 2, 1, "", "MultistepLRLambda"], [48, 5, 1, "", "cosine_lr_lambda"], [48, 5, 1, "", "multiply"], [48, 5, 1, "", "multistep_lr_lambda"]], "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.CosineLRLambda": [[48, 3, 1, "", "__call__"]], "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.LRScheduler": [[48, 3, 1, "", "filter_kwargs"], [48, 3, 1, "", "get_lr"], [48, 3, 1, "", "step"]], "ocpmodels.models.equiformer_v2.trainers.lr_scheduler.MultistepLRLambda": [[48, 3, 1, "", "__call__"]], "ocpmodels.models.equiformer_v2.transformer_block": [[49, 2, 1, "", "FeedForwardNetwork"], [49, 2, 1, "", "SO2EquivariantGraphAttention"], [49, 2, 1, "", "TransBlockV2"]], "ocpmodels.models.equiformer_v2.transformer_block.FeedForwardNetwork": [[49, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.transformer_block.SO2EquivariantGraphAttention": [[49, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.transformer_block.TransBlockV2": [[49, 3, 1, "", "forward"]], "ocpmodels.models.equiformer_v2.wigner": [[50, 1, 1, "", "_Jd"], [50, 5, 1, "", "_z_rot_mat"], [50, 5, 1, "", "wigner_D"]], "ocpmodels.models.escn": [[52, 2, 1, "", "eSCN"], [51, 0, 0, "-", "escn"], [53, 0, 0, "-", "so3"]], "ocpmodels.models.escn.eSCN": [[52, 3, 1, "", "_init_edge_rot_mat"], [52, 3, 1, "", "forward"], [52, 4, 1, "", "num_params"]], "ocpmodels.models.escn.escn": [[51, 2, 1, "", "EdgeBlock"], [51, 2, 1, "", "EnergyBlock"], [51, 2, 1, "", "ForceBlock"], [51, 2, 1, "", "LayerBlock"], [51, 2, 1, "", "MessageBlock"], [51, 2, 1, "", "SO2Block"], [51, 2, 1, "", "SO2Conv"], [51, 2, 1, "", "eSCN"]], "ocpmodels.models.escn.escn.EdgeBlock": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.EnergyBlock": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.ForceBlock": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.LayerBlock": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.MessageBlock": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.SO2Block": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.SO2Conv": [[51, 3, 1, "", "forward"]], "ocpmodels.models.escn.escn.eSCN": [[51, 3, 1, "", "_init_edge_rot_mat"], [51, 3, 1, "", "forward"], [51, 4, 1, "", "num_params"]], "ocpmodels.models.escn.so3": [[53, 2, 1, "", "CoefficientMapping"], [53, 2, 1, "", "SO3_Embedding"], [53, 2, 1, "", "SO3_Grid"], [53, 2, 1, "", "SO3_Rotation"], [53, 1, 1, "", "_Jd"]], "ocpmodels.models.escn.so3.CoefficientMapping": [[53, 3, 1, "", "coefficient_idx"], [53, 3, 1, "", "complex_idx"]], "ocpmodels.models.escn.so3.SO3_Embedding": [[53, 3, 1, "", "_expand_edge"], [53, 3, 1, "", "_from_grid"], [53, 3, 1, "", "_grid_act"], [53, 3, 1, "", "_l_primary"], [53, 3, 1, "", "_m_primary"], [53, 3, 1, "", "_reduce_edge"], [53, 3, 1, "", "_rotate"], [53, 3, 1, "", "_rotate_inv"], [53, 3, 1, "", "clone"], [53, 3, 1, "", "expand_edge"], [53, 3, 1, "", "set_embedding"], [53, 3, 1, "", "set_lmax_mmax"], [53, 3, 1, "", "to_grid"]], "ocpmodels.models.escn.so3.SO3_Grid": [[53, 3, 1, "", "_initialize"], [53, 3, 1, "", "from_grid"], [53, 3, 1, "", "get_from_grid_mat"], [53, 3, 1, "", "get_to_grid_mat"], [53, 3, 1, "", "to_grid"]], "ocpmodels.models.escn.so3.SO3_Rotation": [[53, 3, 1, "", "RotationToWignerDMatrix"], [53, 3, 1, "", "_z_rot_mat"], [53, 3, 1, "", "rotate"], [53, 3, 1, "", "rotate_inv"], [53, 3, 1, "", "set_lmax"], [53, 3, 1, "", "wigner_D"]], "ocpmodels.models.gemnet": [[55, 2, 1, "", "GemNetT"], [54, 0, 0, "-", "gemnet"], [56, 0, 0, "-", "initializers"], [62, 0, 0, "-", "layers"], [66, 0, 0, "-", "utils"]], "ocpmodels.models.gemnet.GemNetT": [[55, 3, 1, "", "forward"], [55, 3, 1, "", "generate_interaction_graph"], [55, 3, 1, "", "get_triplets"], [55, 4, 1, "", "num_params"], [55, 3, 1, "", "reorder_symmetric_edges"], [55, 3, 1, "", "select_edges"], [55, 3, 1, "", "select_symmetric_edges"]], "ocpmodels.models.gemnet.gemnet": [[54, 2, 1, "", "GemNetT"]], "ocpmodels.models.gemnet.gemnet.GemNetT": [[54, 3, 1, "", "forward"], [54, 3, 1, "", "generate_interaction_graph"], [54, 3, 1, "", "get_triplets"], [54, 4, 1, "", "num_params"], [54, 3, 1, "", "reorder_symmetric_edges"], [54, 3, 1, "", "select_edges"], [54, 3, 1, "", "select_symmetric_edges"]], "ocpmodels.models.gemnet.initializers": [[56, 5, 1, "", "_standardize"], [56, 5, 1, "", "he_orthogonal_init"]], "ocpmodels.models.gemnet.layers": [[57, 0, 0, "-", "atom_update_block"], [58, 0, 0, "-", "base_layers"], [59, 0, 0, "-", "basis_utils"], [60, 0, 0, "-", "efficient"], [61, 0, 0, "-", "embedding_block"], [63, 0, 0, "-", "interaction_block"], [64, 0, 0, "-", "radial_basis"], [65, 0, 0, "-", "spherical_basis"]], "ocpmodels.models.gemnet.layers.atom_update_block": [[57, 2, 1, "", "AtomUpdateBlock"], [57, 2, 1, "", "OutputBlock"]], "ocpmodels.models.gemnet.layers.atom_update_block.AtomUpdateBlock": [[57, 3, 1, "", "forward"], [57, 3, 1, "", "get_mlp"]], "ocpmodels.models.gemnet.layers.atom_update_block.OutputBlock": [[57, 3, 1, "", "forward"], [57, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet.layers.base_layers": [[58, 2, 1, "", "Dense"], [58, 2, 1, "", "ResidualLayer"], [58, 2, 1, "", "ScaledSiLU"], [58, 2, 1, "", "SiQU"]], "ocpmodels.models.gemnet.layers.base_layers.Dense": [[58, 3, 1, "", "forward"], [58, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet.layers.base_layers.ResidualLayer": [[58, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.base_layers.ScaledSiLU": [[58, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.base_layers.SiQU": [[58, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.basis_utils": [[59, 5, 1, "", "Jn"], [59, 5, 1, "", "Jn_zeros"], [59, 5, 1, "", "associated_legendre_polynomials"], [59, 5, 1, "", "bessel_basis"], [59, 5, 1, "", "real_sph_harm"], [59, 5, 1, "", "sph_harm_prefactor"], [59, 5, 1, "", "spherical_bessel_formulas"]], "ocpmodels.models.gemnet.layers.efficient": [[60, 2, 1, "", "EfficientInteractionBilinear"], [60, 2, 1, "", "EfficientInteractionDownProjection"]], "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionBilinear": [[60, 3, 1, "", "forward"], [60, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet.layers.efficient.EfficientInteractionDownProjection": [[60, 3, 1, "", "forward"], [60, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet.layers.embedding_block": [[61, 2, 1, "", "AtomEmbedding"], [61, 2, 1, "", "EdgeEmbedding"]], "ocpmodels.models.gemnet.layers.embedding_block.AtomEmbedding": [[61, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.embedding_block.EdgeEmbedding": [[61, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.interaction_block": [[63, 2, 1, "", "InteractionBlockTripletsOnly"], [63, 2, 1, "", "TripletInteraction"]], "ocpmodels.models.gemnet.layers.interaction_block.InteractionBlockTripletsOnly": [[63, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.interaction_block.TripletInteraction": [[63, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.radial_basis": [[64, 2, 1, "", "BernsteinBasis"], [64, 2, 1, "", "ExponentialEnvelope"], [64, 2, 1, "", "PolynomialEnvelope"], [64, 2, 1, "", "RadialBasis"], [64, 2, 1, "", "SphericalBesselBasis"]], "ocpmodels.models.gemnet.layers.radial_basis.BernsteinBasis": [[64, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.radial_basis.ExponentialEnvelope": [[64, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.radial_basis.PolynomialEnvelope": [[64, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.radial_basis.RadialBasis": [[64, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.radial_basis.SphericalBesselBasis": [[64, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.layers.spherical_basis": [[65, 2, 1, "", "CircularBasisLayer"]], "ocpmodels.models.gemnet.layers.spherical_basis.CircularBasisLayer": [[65, 3, 1, "", "forward"]], "ocpmodels.models.gemnet.utils": [[66, 5, 1, "", "calculate_interatomic_vectors"], [66, 5, 1, "", "inner_product_normalized"], [66, 5, 1, "", "mask_neighbors"], [66, 5, 1, "", "ragged_range"], [66, 5, 1, "", "read_json"], [66, 5, 1, "", "read_value_json"], [66, 5, 1, "", "repeat_blocks"], [66, 5, 1, "", "update_json"], [66, 5, 1, "", "write_json"]], "ocpmodels.models.gemnet_gp": [[68, 2, 1, "", "GraphParallelGemNetT"], [67, 0, 0, "-", "gemnet"], [69, 0, 0, "-", "initializers"], [75, 0, 0, "-", "layers"], [79, 0, 0, "-", "utils"]], "ocpmodels.models.gemnet_gp.GraphParallelGemNetT": [[68, 3, 1, "", "forward"], [68, 3, 1, "", "generate_interaction_graph"], [68, 3, 1, "", "get_triplets"], [68, 4, 1, "", "num_params"], [68, 3, 1, "", "reorder_symmetric_edges"], [68, 3, 1, "", "select_edges"], [68, 3, 1, "", "select_symmetric_edges"]], "ocpmodels.models.gemnet_gp.gemnet": [[67, 2, 1, "", "GraphParallelGemNetT"]], "ocpmodels.models.gemnet_gp.gemnet.GraphParallelGemNetT": [[67, 3, 1, "", "forward"], [67, 3, 1, "", "generate_interaction_graph"], [67, 3, 1, "", "get_triplets"], [67, 4, 1, "", "num_params"], [67, 3, 1, "", "reorder_symmetric_edges"], [67, 3, 1, "", "select_edges"], [67, 3, 1, "", "select_symmetric_edges"]], "ocpmodels.models.gemnet_gp.initializers": [[69, 5, 1, "", "_standardize"], [69, 5, 1, "", "he_orthogonal_init"]], "ocpmodels.models.gemnet_gp.layers": [[70, 0, 0, "-", "atom_update_block"], [71, 0, 0, "-", "base_layers"], [72, 0, 0, "-", "basis_utils"], [73, 0, 0, "-", "efficient"], [74, 0, 0, "-", "embedding_block"], [76, 0, 0, "-", "interaction_block"], [77, 0, 0, "-", "radial_basis"], [78, 0, 0, "-", "spherical_basis"]], "ocpmodels.models.gemnet_gp.layers.atom_update_block": [[70, 2, 1, "", "AtomUpdateBlock"], [70, 2, 1, "", "OutputBlock"], [70, 5, 1, "", "scatter_sum"]], "ocpmodels.models.gemnet_gp.layers.atom_update_block.AtomUpdateBlock": [[70, 3, 1, "", "forward"], [70, 3, 1, "", "get_mlp"]], "ocpmodels.models.gemnet_gp.layers.atom_update_block.OutputBlock": [[70, 6, 1, "", "dense_rbf_F"], [70, 3, 1, "", "forward"], [70, 6, 1, "", "out_energy"], [70, 6, 1, "", "out_forces"], [70, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet_gp.layers.base_layers": [[71, 2, 1, "", "Dense"], [71, 2, 1, "", "ResidualLayer"], [71, 2, 1, "", "ScaledSiLU"], [71, 2, 1, "", "SiQU"]], "ocpmodels.models.gemnet_gp.layers.base_layers.Dense": [[71, 3, 1, "", "forward"], [71, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet_gp.layers.base_layers.ResidualLayer": [[71, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.base_layers.ScaledSiLU": [[71, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.base_layers.SiQU": [[71, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.basis_utils": [[72, 5, 1, "", "Jn"], [72, 5, 1, "", "Jn_zeros"], [72, 5, 1, "", "associated_legendre_polynomials"], [72, 5, 1, "", "bessel_basis"], [72, 5, 1, "", "real_sph_harm"], [72, 5, 1, "", "sph_harm_prefactor"], [72, 5, 1, "", "spherical_bessel_formulas"]], "ocpmodels.models.gemnet_gp.layers.efficient": [[73, 2, 1, "", "EfficientInteractionBilinear"], [73, 2, 1, "", "EfficientInteractionDownProjection"]], "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionBilinear": [[73, 3, 1, "", "forward"], [73, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet_gp.layers.efficient.EfficientInteractionDownProjection": [[73, 3, 1, "", "forward"], [73, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet_gp.layers.embedding_block": [[74, 2, 1, "", "AtomEmbedding"], [74, 2, 1, "", "EdgeEmbedding"]], "ocpmodels.models.gemnet_gp.layers.embedding_block.AtomEmbedding": [[74, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.embedding_block.EdgeEmbedding": [[74, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.interaction_block": [[76, 2, 1, "", "InteractionBlockTripletsOnly"], [76, 2, 1, "", "TripletInteraction"]], "ocpmodels.models.gemnet_gp.layers.interaction_block.InteractionBlockTripletsOnly": [[76, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.interaction_block.TripletInteraction": [[76, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.radial_basis": [[77, 2, 1, "", "BernsteinBasis"], [77, 2, 1, "", "ExponentialEnvelope"], [77, 2, 1, "", "PolynomialEnvelope"], [77, 2, 1, "", "RadialBasis"], [77, 2, 1, "", "SphericalBesselBasis"]], "ocpmodels.models.gemnet_gp.layers.radial_basis.BernsteinBasis": [[77, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.radial_basis.ExponentialEnvelope": [[77, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.radial_basis.PolynomialEnvelope": [[77, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.radial_basis.RadialBasis": [[77, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.radial_basis.SphericalBesselBasis": [[77, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.layers.spherical_basis": [[78, 2, 1, "", "CircularBasisLayer"]], "ocpmodels.models.gemnet_gp.layers.spherical_basis.CircularBasisLayer": [[78, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_gp.utils": [[79, 5, 1, "", "calculate_interatomic_vectors"], [79, 5, 1, "", "inner_product_normalized"], [79, 5, 1, "", "mask_neighbors"], [79, 5, 1, "", "ragged_range"], [79, 5, 1, "", "read_json"], [79, 5, 1, "", "read_value_json"], [79, 5, 1, "", "repeat_blocks"], [79, 5, 1, "", "update_json"], [79, 5, 1, "", "write_json"]], "ocpmodels.models.gemnet_oc": [[81, 2, 1, "", "GemNetOC"], [80, 0, 0, "-", "gemnet_oc"], [82, 0, 0, "-", "initializers"], [83, 0, 0, "-", "interaction_indices"], [90, 0, 0, "-", "layers"], [94, 0, 0, "-", "utils"]], "ocpmodels.models.gemnet_oc.GemNetOC": [[81, 3, 1, "", "calculate_quad_angles"], [81, 3, 1, "", "forward"], [81, 3, 1, "", "generate_graph_dict"], [81, 3, 1, "", "get_bases"], [81, 3, 1, "", "get_graphs_and_indices"], [81, 3, 1, "", "init_basis_functions"], [81, 3, 1, "", "init_shared_basis_layers"], [81, 4, 1, "", "num_params"], [81, 3, 1, "", "select_symmetric_edges"], [81, 3, 1, "", "set_cutoffs"], [81, 3, 1, "", "set_max_neighbors"], [81, 3, 1, "", "subselect_edges"], [81, 3, 1, "", "subselect_graph"], [81, 3, 1, "", "symmetrize_edges"]], "ocpmodels.models.gemnet_oc.gemnet_oc": [[80, 2, 1, "", "GemNetOC"]], "ocpmodels.models.gemnet_oc.gemnet_oc.GemNetOC": [[80, 3, 1, "", "calculate_quad_angles"], [80, 3, 1, "", "forward"], [80, 3, 1, "", "generate_graph_dict"], [80, 3, 1, "", "get_bases"], [80, 3, 1, "", "get_graphs_and_indices"], [80, 3, 1, "", "init_basis_functions"], [80, 3, 1, "", "init_shared_basis_layers"], [80, 4, 1, "", "num_params"], [80, 3, 1, "", "select_symmetric_edges"], [80, 3, 1, "", "set_cutoffs"], [80, 3, 1, "", "set_max_neighbors"], [80, 3, 1, "", "subselect_edges"], [80, 3, 1, "", "subselect_graph"], [80, 3, 1, "", "symmetrize_edges"]], "ocpmodels.models.gemnet_oc.initializers": [[82, 5, 1, "", "_standardize"], [82, 5, 1, "", "get_initializer"], [82, 5, 1, "", "grid_init"], [82, 5, 1, "", "he_orthogonal_init"], [82, 5, 1, "", "log_grid_init"]], "ocpmodels.models.gemnet_oc.interaction_indices": [[83, 5, 1, "", "get_mixed_triplets"], [83, 5, 1, "", "get_quadruplets"], [83, 5, 1, "", "get_triplets"]], "ocpmodels.models.gemnet_oc.layers": [[84, 0, 0, "-", "atom_update_block"], [85, 0, 0, "-", "base_layers"], [86, 0, 0, "-", "basis_utils"], [87, 0, 0, "-", "efficient"], [88, 0, 0, "-", "embedding_block"], [89, 0, 0, "-", "force_scaler"], [91, 0, 0, "-", "interaction_block"], [92, 0, 0, "-", "radial_basis"], [93, 0, 0, "-", "spherical_basis"]], "ocpmodels.models.gemnet_oc.layers.atom_update_block": [[84, 2, 1, "", "AtomUpdateBlock"], [84, 2, 1, "", "OutputBlock"]], "ocpmodels.models.gemnet_oc.layers.atom_update_block.AtomUpdateBlock": [[84, 3, 1, "", "forward"], [84, 3, 1, "", "get_mlp"]], "ocpmodels.models.gemnet_oc.layers.atom_update_block.OutputBlock": [[84, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.base_layers": [[85, 2, 1, "", "Dense"], [85, 2, 1, "", "ResidualLayer"], [85, 2, 1, "", "ScaledSiLU"]], "ocpmodels.models.gemnet_oc.layers.base_layers.Dense": [[85, 3, 1, "", "forward"], [85, 3, 1, "", "reset_parameters"]], "ocpmodels.models.gemnet_oc.layers.base_layers.ResidualLayer": [[85, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.base_layers.ScaledSiLU": [[85, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.basis_utils": [[86, 5, 1, "", "Jn"], [86, 5, 1, "", "Jn_zeros"], [86, 5, 1, "", "associated_legendre_polynomials"], [86, 5, 1, "", "bessel_basis"], [86, 5, 1, "", "get_sph_harm_basis"], [86, 5, 1, "", "real_sph_harm"], [86, 5, 1, "", "sph_harm_prefactor"], [86, 5, 1, "", "spherical_bessel_formulas"]], "ocpmodels.models.gemnet_oc.layers.efficient": [[87, 2, 1, "", "BasisEmbedding"], [87, 2, 1, "", "EfficientInteractionBilinear"]], "ocpmodels.models.gemnet_oc.layers.efficient.BasisEmbedding": [[87, 3, 1, "", "forward"], [87, 3, 1, "", "reset_parameters"], [87, 6, 1, "", "weight"]], "ocpmodels.models.gemnet_oc.layers.efficient.EfficientInteractionBilinear": [[87, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.embedding_block": [[88, 2, 1, "", "AtomEmbedding"], [88, 2, 1, "", "EdgeEmbedding"]], "ocpmodels.models.gemnet_oc.layers.embedding_block.AtomEmbedding": [[88, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.embedding_block.EdgeEmbedding": [[88, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.force_scaler": [[89, 2, 1, "", "ForceScaler"]], "ocpmodels.models.gemnet_oc.layers.force_scaler.ForceScaler": [[89, 3, 1, "", "calc_forces"], [89, 3, 1, "", "calc_forces_and_update"], [89, 3, 1, "", "scale"], [89, 3, 1, "", "unscale"], [89, 3, 1, "", "update"]], "ocpmodels.models.gemnet_oc.layers.interaction_block": [[91, 2, 1, "", "InteractionBlock"], [91, 2, 1, "", "PairInteraction"], [91, 2, 1, "", "QuadrupletInteraction"], [91, 2, 1, "", "TripletInteraction"]], "ocpmodels.models.gemnet_oc.layers.interaction_block.InteractionBlock": [[91, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.interaction_block.PairInteraction": [[91, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.interaction_block.QuadrupletInteraction": [[91, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.interaction_block.TripletInteraction": [[91, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.radial_basis": [[92, 2, 1, "", "BernsteinBasis"], [92, 2, 1, "", "ExponentialEnvelope"], [92, 2, 1, "", "GaussianBasis"], [92, 2, 1, "", "PolynomialEnvelope"], [92, 2, 1, "", "RadialBasis"], [92, 2, 1, "", "SphericalBesselBasis"]], "ocpmodels.models.gemnet_oc.layers.radial_basis.BernsteinBasis": [[92, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.radial_basis.ExponentialEnvelope": [[92, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.radial_basis.GaussianBasis": [[92, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.radial_basis.PolynomialEnvelope": [[92, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.radial_basis.RadialBasis": [[92, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.radial_basis.SphericalBesselBasis": [[92, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.spherical_basis": [[93, 2, 1, "", "CircularBasisLayer"], [93, 2, 1, "", "SphericalBasisLayer"]], "ocpmodels.models.gemnet_oc.layers.spherical_basis.CircularBasisLayer": [[93, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.layers.spherical_basis.SphericalBasisLayer": [[93, 3, 1, "", "forward"]], "ocpmodels.models.gemnet_oc.utils": [[94, 5, 1, "", "calculate_interatomic_vectors"], [94, 5, 1, "", "get_angle"], [94, 5, 1, "", "get_edge_id"], [94, 5, 1, "", "get_inner_idx"], [94, 5, 1, "", "get_neighbor_order"], [94, 5, 1, "", "get_projected_angle"], [94, 5, 1, "", "inner_product_clamped"], [94, 5, 1, "", "mask_neighbors"], [94, 5, 1, "", "masked_select_sparsetensor_flat"], [94, 5, 1, "", "ragged_range"], [94, 5, 1, "", "repeat_blocks"], [94, 5, 1, "", "vector_rejection"]], "ocpmodels.models.model_registry": [[96, 1, 1, "", "MODEL_REGISTRY"], [96, 1, 1, "", "available_pretrained_models"], [96, 5, 1, "", "model_name_to_local_file"]], "ocpmodels.models.painn": [[97, 2, 1, "", "PaiNN"], [98, 0, 0, "-", "painn"], [99, 0, 0, "-", "utils"]], "ocpmodels.models.painn.PaiNN": [[97, 3, 1, "", "__repr__"], [97, 3, 1, "", "forward"], [97, 3, 1, "", "generate_graph_values"], [97, 4, 1, "", "num_params"], [97, 3, 1, "", "reset_parameters"], [97, 3, 1, "", "select_symmetric_edges"], [97, 3, 1, "", "symmetrize_edges"]], "ocpmodels.models.painn.painn": [[98, 2, 1, "", "GatedEquivariantBlock"], [98, 2, 1, "", "PaiNN"], [98, 2, 1, "", "PaiNNMessage"], [98, 2, 1, "", "PaiNNOutput"], [98, 2, 1, "", "PaiNNUpdate"]], "ocpmodels.models.painn.painn.GatedEquivariantBlock": [[98, 3, 1, "", "forward"], [98, 3, 1, "", "reset_parameters"]], "ocpmodels.models.painn.painn.PaiNN": [[98, 3, 1, "", "__repr__"], [98, 3, 1, "", "forward"], [98, 3, 1, "", "generate_graph_values"], [98, 4, 1, "", "num_params"], [98, 3, 1, "", "reset_parameters"], [98, 3, 1, "", "select_symmetric_edges"], [98, 3, 1, "", "symmetrize_edges"]], "ocpmodels.models.painn.painn.PaiNNMessage": [[98, 3, 1, "", "aggregate"], [98, 3, 1, "", "forward"], [98, 3, 1, "", "message"], [98, 3, 1, "", "reset_parameters"], [98, 3, 1, "", "update"]], "ocpmodels.models.painn.painn.PaiNNOutput": [[98, 3, 1, "", "forward"], [98, 3, 1, "", "reset_parameters"]], "ocpmodels.models.painn.painn.PaiNNUpdate": [[98, 3, 1, "", "forward"], [98, 3, 1, "", "reset_parameters"]], "ocpmodels.models.painn.utils": [[99, 5, 1, "", "get_edge_id"], [99, 5, 1, "", "repeat_blocks"]], "ocpmodels.models.schnet": [[100, 2, 1, "", "SchNetWrap"]], "ocpmodels.models.schnet.SchNetWrap": [[100, 3, 1, "", "_forward"], [100, 3, 1, "", "forward"], [100, 4, 1, "", "num_params"]], "ocpmodels.models.scn": [[101, 2, 1, "", "SphericalChannelNetwork"], [102, 0, 0, "-", "sampling"], [103, 0, 0, "-", "scn"], [104, 0, 0, "-", "smearing"], [105, 0, 0, "-", "spherical_harmonics"]], "ocpmodels.models.scn.SphericalChannelNetwork": [[101, 3, 1, "", "_forward_helper"], [101, 3, 1, "", "_init_edge_rot_mat"], [101, 3, 1, "", "_rank_edge_distances"], [101, 6, 1, "", "energy_fc1"], [101, 6, 1, "", "energy_fc2"], [101, 6, 1, "", "energy_fc3"], [101, 6, 1, "", "force_fc1"], [101, 6, 1, "", "force_fc2"], [101, 6, 1, "", "force_fc3"], [101, 3, 1, "", "forward"], [101, 4, 1, "", "num_params"]], "ocpmodels.models.scn.sampling": [[102, 5, 1, "", "CalcSpherePoints"], [102, 5, 1, "", "CalcSpherePointsRandom"]], "ocpmodels.models.scn.scn": [[103, 2, 1, "", "DistanceBlock"], [103, 2, 1, "", "EdgeBlock"], [103, 2, 1, "", "MessageBlock"], [103, 2, 1, "", "SphericalChannelNetwork"]], "ocpmodels.models.scn.scn.DistanceBlock": [[103, 3, 1, "", "forward"]], "ocpmodels.models.scn.scn.EdgeBlock": [[103, 3, 1, "", "forward"]], "ocpmodels.models.scn.scn.MessageBlock": [[103, 3, 1, "", "forward"]], "ocpmodels.models.scn.scn.SphericalChannelNetwork": [[103, 3, 1, "", "_forward_helper"], [103, 3, 1, "", "_init_edge_rot_mat"], [103, 3, 1, "", "_rank_edge_distances"], [103, 6, 1, "", "energy_fc1"], [103, 6, 1, "", "energy_fc2"], [103, 6, 1, "", "energy_fc3"], [103, 6, 1, "", "force_fc1"], [103, 6, 1, "", "force_fc2"], [103, 6, 1, "", "force_fc3"], [103, 3, 1, "", "forward"], [103, 4, 1, "", "num_params"]], "ocpmodels.models.scn.smearing": [[104, 2, 1, "", "GaussianSmearing"], [104, 2, 1, "", "LinearSigmoidSmearing"], [104, 2, 1, "", "SiLUSmearing"], [104, 2, 1, "", "SigmoidSmearing"]], "ocpmodels.models.scn.smearing.GaussianSmearing": [[104, 3, 1, "", "forward"]], "ocpmodels.models.scn.smearing.LinearSigmoidSmearing": [[104, 3, 1, "", "forward"]], "ocpmodels.models.scn.smearing.SiLUSmearing": [[104, 3, 1, "", "forward"]], "ocpmodels.models.scn.smearing.SigmoidSmearing": [[104, 3, 1, "", "forward"]], "ocpmodels.models.scn.spherical_harmonics": [[105, 2, 1, "", "SphericalHarmonicsHelper"], [105, 1, 1, "", "_Jd"], [105, 5, 1, "", "_z_rot_mat"], [105, 5, 1, "", "wigner_D"]], "ocpmodels.models.scn.spherical_harmonics.SphericalHarmonicsHelper": [[105, 3, 1, "", "CombineYRotations"], [105, 3, 1, "", "FlipGrid"], [105, 3, 1, "", "FromGrid"], [105, 3, 1, "", "InitWignerDMatrix"], [105, 3, 1, "", "InitYRotMapping"], [105, 3, 1, "", "Rotate"], [105, 3, 1, "", "RotateInv"], [105, 3, 1, "", "RotateWigner"], [105, 3, 1, "", "RotationMatrix"], [105, 3, 1, "", "RotationToWignerDMatrix"], [105, 3, 1, "", "ToGrid"]], "ocpmodels.models.utils": [[106, 0, 0, "-", "activations"], [107, 0, 0, "-", "basis"]], "ocpmodels.models.utils.activations": [[106, 2, 1, "", "Act"]], "ocpmodels.models.utils.activations.Act": [[106, 3, 1, "", "forward"]], "ocpmodels.models.utils.basis": [[107, 2, 1, "", "Basis"], [107, 2, 1, "", "FourierSmearing"], [107, 2, 1, "", "GaussianSmearing"], [107, 2, 1, "", "SINESmearing"], [107, 2, 1, "", "SIREN"], [107, 2, 1, "", "Sine"], [107, 2, 1, "", "SphericalSmearing"]], "ocpmodels.models.utils.basis.Basis": [[107, 3, 1, "", "forward"], [107, 6, 1, "", "smearing"]], "ocpmodels.models.utils.basis.FourierSmearing": [[107, 3, 1, "", "forward"]], "ocpmodels.models.utils.basis.GaussianSmearing": [[107, 3, 1, "", "forward"]], "ocpmodels.models.utils.basis.SINESmearing": [[107, 3, 1, "", "forward"]], "ocpmodels.models.utils.basis.SIREN": [[107, 3, 1, "", "forward"]], "ocpmodels.models.utils.basis.Sine": [[107, 3, 1, "", "forward"]], "ocpmodels.models.utils.basis.SphericalSmearing": [[107, 3, 1, "", "forward"], [107, 6, 1, "", "m"], [107, 6, 1, "", "n"]], "ocpmodels.modules": [[109, 0, 0, "-", "evaluator"], [110, 0, 0, "-", "exponential_moving_average"], [112, 0, 0, "-", "loss"], [113, 0, 0, "-", "normalizer"], [116, 0, 0, "-", "scaling"], [119, 0, 0, "-", "scheduler"], [120, 0, 0, "-", "transforms"]], "ocpmodels.modules.evaluator": [[109, 2, 1, "", "Evaluator"], [109, 1, 1, "", "NONE"], [109, 5, 1, "", "average_distance_within_threshold"], [109, 5, 1, "", "cosine_similarity"], [109, 5, 1, "", "energy_forces_within_threshold"], [109, 5, 1, "", "energy_within_threshold"], [109, 5, 1, "", "forcesx_mae"], [109, 5, 1, "", "forcesx_mse"], [109, 5, 1, "", "forcesy_mae"], [109, 5, 1, "", "forcesy_mse"], [109, 5, 1, "", "forcesz_mae"], [109, 5, 1, "", "forcesz_mse"], [109, 5, 1, "", "mae"], [109, 5, 1, "", "magnitude_error"], [109, 5, 1, "", "min_diff"], [109, 5, 1, "", "mse"]], "ocpmodels.modules.evaluator.Evaluator": [[109, 3, 1, "", "eval"], [109, 6, 1, "", "task_metrics"], [109, 6, 1, "", "task_primary_metric"], [109, 3, 1, "", "update"]], "ocpmodels.modules.exponential_moving_average": [[110, 2, 1, "", "ExponentialMovingAverage"]], "ocpmodels.modules.exponential_moving_average.ExponentialMovingAverage": [[110, 3, 1, "", "_get_parameters"], [110, 3, 1, "", "copy_to"], [110, 3, 1, "", "load_state_dict"], [110, 3, 1, "", "restore"], [110, 3, 1, "", "state_dict"], [110, 3, 1, "", "store"], [110, 3, 1, "", "update"]], "ocpmodels.modules.loss": [[112, 2, 1, "", "AtomwiseL2Loss"], [112, 2, 1, "", "DDPLoss"], [112, 2, 1, "", "L2MAELoss"]], "ocpmodels.modules.loss.AtomwiseL2Loss": [[112, 3, 1, "", "forward"]], "ocpmodels.modules.loss.DDPLoss": [[112, 3, 1, "", "forward"]], "ocpmodels.modules.loss.L2MAELoss": [[112, 3, 1, "", "forward"]], "ocpmodels.modules.normalizer": [[113, 2, 1, "", "Normalizer"]], "ocpmodels.modules.normalizer.Normalizer": [[113, 3, 1, "", "denorm"], [113, 3, 1, "", "load_state_dict"], [113, 3, 1, "", "norm"], [113, 3, 1, "", "state_dict"], [113, 3, 1, "", "to"]], "ocpmodels.modules.scaling": [[116, 2, 1, "", "ScaleFactor"], [114, 0, 0, "-", "compat"], [115, 0, 0, "-", "fit"], [117, 0, 0, "-", "scale_factor"], [118, 0, 0, "-", "util"]], "ocpmodels.modules.scaling.ScaleFactor": [[116, 3, 1, "", "_enforce_consistency"], [116, 3, 1, "", "_observe"], [116, 3, 1, "", "fit_"], [116, 3, 1, "", "fit_context_"], [116, 4, 1, "", "fitted"], [116, 3, 1, "", "forward"], [116, 6, 1, "", "index_fn"], [116, 3, 1, "", "initialize_"], [116, 6, 1, "", "name"], [116, 3, 1, "", "reset_"], [116, 6, 1, "", "scale_factor"], [116, 3, 1, "", "set_"], [116, 6, 1, "", "stats"]], "ocpmodels.modules.scaling.compat": [[114, 1, 1, "", "ScaleDict"], [114, 5, 1, "", "_load_scale_dict"], [114, 5, 1, "", "load_scales_compat"]], "ocpmodels.modules.scaling.fit": [[115, 5, 1, "", "_prefilled_input"], [115, 5, 1, "", "_train_batch"], [115, 5, 1, "", "main"]], "ocpmodels.modules.scaling.scale_factor": [[117, 1, 1, "", "IndexFn"], [117, 2, 1, "", "ScaleFactor"], [117, 2, 1, "", "_Stats"], [117, 5, 1, "", "_check_consistency"]], "ocpmodels.modules.scaling.scale_factor.ScaleFactor": [[117, 3, 1, "", "_enforce_consistency"], [117, 3, 1, "", "_observe"], [117, 3, 1, "", "fit_"], [117, 3, 1, "", "fit_context_"], [117, 4, 1, "", "fitted"], [117, 3, 1, "", "forward"], [117, 6, 1, "", "index_fn"], [117, 3, 1, "", "initialize_"], [117, 6, 1, "", "name"], [117, 3, 1, "", "reset_"], [117, 6, 1, "", "scale_factor"], [117, 3, 1, "", "set_"], [117, 6, 1, "", "stats"]], "ocpmodels.modules.scaling.scale_factor._Stats": [[117, 6, 1, "", "n_samples"], [117, 6, 1, "", "variance_in"], [117, 6, 1, "", "variance_out"]], "ocpmodels.modules.scaling.util": [[118, 5, 1, "", "ensure_fitted"]], "ocpmodels.modules.scheduler": [[119, 2, 1, "", "LRScheduler"]], "ocpmodels.modules.scheduler.LRScheduler": [[119, 3, 1, "", "filter_kwargs"], [119, 3, 1, "", "get_lr"], [119, 3, 1, "", "step"]], "ocpmodels.modules.transforms": [[120, 2, 1, "", "DataTransforms"], [120, 5, 1, "", "decompose_tensor"]], "ocpmodels.modules.transforms.DataTransforms": [[120, 3, 1, "", "__call__"]], "ocpmodels.preprocessing": [[122, 2, 1, "", "AtomsToGraphs"], [121, 0, 0, "-", "atoms_to_graphs"]], "ocpmodels.preprocessing.AtomsToGraphs": [[122, 3, 1, "", "_get_neighbors_pymatgen"], [122, 3, 1, "", "_reshape_features"], [122, 3, 1, "", "convert"], [122, 3, 1, "", "convert_all"], [122, 6, 1, "", "max_neigh"], [122, 6, 1, "", "r_data_keys"], [122, 6, 1, "", "r_distances"], [122, 6, 1, "", "r_edges"], [122, 6, 1, "", "r_energy"], [122, 6, 1, "", "r_fixed"], [122, 6, 1, "", "r_forces"], [122, 6, 1, "", "r_pbc"], [122, 6, 1, "", "r_stress"], [122, 6, 1, "", "radius"]], "ocpmodels.preprocessing.atoms_to_graphs": [[121, 1, 1, "", "AseAtomsAdaptor"], [121, 2, 1, "", "AtomsToGraphs"], [121, 1, 1, "", "shell"]], "ocpmodels.preprocessing.atoms_to_graphs.AtomsToGraphs": [[121, 3, 1, "", "_get_neighbors_pymatgen"], [121, 3, 1, "", "_reshape_features"], [121, 3, 1, "", "convert"], [121, 3, 1, "", "convert_all"], [121, 6, 1, "", "max_neigh"], [121, 6, 1, "", "r_data_keys"], [121, 6, 1, "", "r_distances"], [121, 6, 1, "", "r_edges"], [121, 6, 1, "", "r_energy"], [121, 6, 1, "", "r_fixed"], [121, 6, 1, "", "r_forces"], [121, 6, 1, "", "r_pbc"], [121, 6, 1, "", "r_stress"], [121, 6, 1, "", "radius"]], "ocpmodels.tasks": [[123, 2, 1, "", "PredictTask"], [123, 2, 1, "", "RelaxationTask"], [123, 2, 1, "", "TrainTask"], [123, 2, 1, "", "ValidateTask"], [124, 0, 0, "-", "task"]], "ocpmodels.tasks.PredictTask": [[123, 3, 1, "", "run"]], "ocpmodels.tasks.RelaxationTask": [[123, 3, 1, "", "run"]], "ocpmodels.tasks.TrainTask": [[123, 3, 1, "", "_process_error"], [123, 3, 1, "", "run"]], "ocpmodels.tasks.ValidateTask": [[123, 3, 1, "", "run"]], "ocpmodels.tasks.task": [[124, 2, 1, "", "BaseTask"], [124, 2, 1, "", "PredictTask"], [124, 2, 1, "", "RelaxationTask"], [124, 2, 1, "", "TrainTask"], [124, 2, 1, "", "ValidateTask"]], "ocpmodels.tasks.task.BaseTask": [[124, 3, 1, "", "run"], [124, 3, 1, "", "setup"]], "ocpmodels.tasks.task.PredictTask": [[124, 3, 1, "", "run"]], "ocpmodels.tasks.task.RelaxationTask": [[124, 3, 1, "", "run"]], "ocpmodels.tasks.task.TrainTask": [[124, 3, 1, "", "_process_error"], [124, 3, 1, "", "run"]], "ocpmodels.tasks.task.ValidateTask": [[124, 3, 1, "", "run"]], "ocpmodels.trainers": [[126, 2, 1, "", "BaseTrainer"], [126, 2, 1, "", "OCPTrainer"], [125, 0, 0, "-", "base_trainer"], [127, 0, 0, "-", "ocp_trainer"]], "ocpmodels.trainers.BaseTrainer": [[126, 3, 1, "", "_backward"], [126, 3, 1, "", "_get_timestamp"], [126, 4, 1, "", "_unwrapped_model"], [126, 3, 1, "", "get_dataloader"], [126, 3, 1, "", "get_sampler"], [126, 3, 1, "", "load"], [126, 3, 1, "", "load_checkpoint"], [126, 3, 1, "", "load_datasets"], [126, 3, 1, "", "load_extras"], [126, 3, 1, "", "load_logger"], [126, 3, 1, "", "load_loss"], [126, 3, 1, "", "load_model"], [126, 3, 1, "", "load_optimizer"], [126, 3, 1, "", "load_seed_from_config"], [126, 3, 1, "", "load_task"], [126, 3, 1, "", "save"], [126, 3, 1, "", "save_results"], [126, 3, 1, "", "set_seed"], [126, 3, 1, "", "train"], [126, 3, 1, "", "update_best"], [126, 3, 1, "", "validate"]], "ocpmodels.trainers.OCPTrainer": [[126, 3, 1, "", "_compute_loss"], [126, 3, 1, "", "_compute_metrics"], [126, 3, 1, "", "_forward"], [126, 3, 1, "", "predict"], [126, 3, 1, "", "run_relaxations"], [126, 3, 1, "", "train"]], "ocpmodels.trainers.base_trainer": [[125, 2, 1, "", "BaseTrainer"]], "ocpmodels.trainers.base_trainer.BaseTrainer": [[125, 3, 1, "", "_backward"], [125, 3, 1, "", "_get_timestamp"], [125, 4, 1, "", "_unwrapped_model"], [125, 3, 1, "", "get_dataloader"], [125, 3, 1, "", "get_sampler"], [125, 3, 1, "", "load"], [125, 3, 1, "", "load_checkpoint"], [125, 3, 1, "", "load_datasets"], [125, 3, 1, "", "load_extras"], [125, 3, 1, "", "load_logger"], [125, 3, 1, "", "load_loss"], [125, 3, 1, "", "load_model"], [125, 3, 1, "", "load_optimizer"], [125, 3, 1, "", "load_seed_from_config"], [125, 3, 1, "", "load_task"], [125, 3, 1, "", "save"], [125, 3, 1, "", "save_results"], [125, 3, 1, "", "set_seed"], [125, 3, 1, "", "train"], [125, 3, 1, "", "update_best"], [125, 3, 1, "", "validate"]], "ocpmodels.trainers.ocp_trainer": [[127, 2, 1, "", "OCPTrainer"]], "ocpmodels.trainers.ocp_trainer.OCPTrainer": [[127, 3, 1, "", "_compute_loss"], [127, 3, 1, "", "_compute_metrics"], [127, 3, 1, "", "_forward"], [127, 3, 1, "", "predict"], [127, 3, 1, "", "run_relaxations"], [127, 3, 1, "", "train"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "data", "Python data"], "2": ["py", "class", "Python class"], "3": ["py", "method", "Python method"], "4": ["py", "property", "Python property"], "5": ["py", "function", "Python function"], "6": ["py", "attribute", "Python attribute"]}, "objtypes": {"0": "py:module", "1": "py:data", "2": "py:class", "3": "py:method", "4": "py:property", "5": "py:function", "6": "py:attribute"}, "terms": {"": [8, 19, 25, 66, 79, 80, 81, 83, 94, 117, 128, 129, 130, 131, 132, 134, 138, 139, 141, 142, 145, 146, 147, 149, 151, 153, 156, 157, 158], "0": [1, 4, 9, 11, 13, 14, 15, 17, 25, 26, 27, 28, 29, 32, 33, 34, 36, 38, 40, 45, 46, 49, 51, 52, 54, 55, 56, 59, 64, 66, 67, 68, 69, 72, 76, 77, 79, 80, 81, 82, 86, 89, 91, 92, 94, 97, 98, 99, 100, 101, 103, 104, 106, 107, 121, 122, 125, 126, 127, 129, 130, 131, 132, 133, 134, 135, 138, 139, 140, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "00": [133, 134, 138, 142, 147, 149, 151, 153, 154, 157], "000": [132, 134, 147, 157], "0000": [147, 148], "00000000e": [134, 147, 149], "0000073909759521": 142, "0000228881835938": 142, "0000278949737549": 142, "0000388622283936": 142, "0000522136688232": 142, "0000545978546143": 142, "0000596046447754": 142, "0000619888305664": 142, "0000643730163574": 142, "0000689029693604": 142, "000070333480835": 142, "0000836849212646": 142, "0000970363616943": 142, "000099182128906": 142, "0001": [94, 147], "00010038881737273186": 142, "0001026729732984677": 142, "00010268490586895496": 142, "00010317111446056515": 142, "00010319246212020516": 142, "00010423731146147475": 142, "00010511220898479223": 142, "00010977939382428303": 142, "00011170204379595816": 142, "0001124277405324392": 142, "0001130104064941": 142, "0001139640808105": 142, "000116": [147, 149], "00011899736273335293": 142, "0001208782196045": 142, "000124216079712": 142, "0001287559134652838": 142, "00012995647557545453": 142, "0001308917999268": 142, "00013535402831621468": 142, "00014110785559751093": 142, "0001432789140380919": 142, "0001461505889893": 142, "00015172043640632182": 142, "0001518726348877": 142, "0001554489135742": 142, "00015732132305856794": 142, "00016536419570911676": 142, "0001668888726271689": 142, "0001676149113336578": 142, "0001677495165495202": 142, "00016995336045511067": 142, "000171184539795": 142, "00017132979701273143": 142, "00017297564772889018": 142, "00017466553254052997": 142, "0001747608184814": 142, "0001757144927979": 142, "0001772827235981822": 142, "00017906208813656121": 142, "0001842975616455": 142, "0001852451532613486": 142, "00018890642968472093": 142, "00019483186770230532": 142, "00019564261310733855": 142, "00019881935440935194": 142, "00020040562958456576": 142, "0002007484436035": 142, "0002034594363067299": 142, "000206470489502": 142, "00020770102855749428": 142, "0002200603485107": 142, "0002258875611005351": 142, "00022704884759150445": 142, "0002291202545166": 142, "0002298019389854744": 142, "00023072965268511325": 142, "0002326965332031": 142, "0002330035640625283": 142, "0002343070664210245": 142, "00023430828878190368": 142, "0002367427368881181": 142, "00023747951490804553": 142, "0002391338348389": 142, "00024026964092627168": 142, "00024098072026390582": 142, "000241756439209": 142, "00024739388027228415": 142, "000247766642132774": 142, "00024795017088763416": 142, "0002493178762961179": 142, "0002521658898331225": 142, "0002595280820969492": 142, "00026273727417": 142, "000262975692749": 142, "00026403929223306477": 142, "00026714979321695864": 142, "00026741938199847937": 142, "00027302547823637724": 142, "0002733920409809798": 142, "000274896621704": 142, "0002751160354819149": 142, "00027606709045358": 142, "0002774460590444505": 142, "00027825587312690914": 142, "0002783412055578083": 142, "00028009054949507117": 142, "0002830654848366976": 142, "00028400521841831505": 142, "0002872943878174": 142, "000294355908408761": 142, "00029454875038936734": 142, "0002977848052979": 142, "0003001791483256966": 142, "0003038226277567446": 142, "0003042221069336": 142, "00030438805697485805": 142, "0003070149105042219": 142, "00030778144719079137": 142, "0003082752227783": 142, "0003113746643066": 142, "0003130435943604": 142, "0003133700811304152": 142, "00031826208578422666": 142, "000320058868965134": 142, "000322482839692384": 142, "0003253476752433926": 142, "00033001648262143135": 142, "00033062975853681564": 142, "00033076995168812573": 142, "00033570040250197053": 142, "0003373272775206715": 142, "0003375484375283122": 142, "0003395036910660565": 142, "00033950805664": 142, "0003414429957047105": 142, "00034146616235375404": 142, "0003447532653809": 142, "00035303030745126307": 142, "0003541353507898748": 142, "0003542412305250764": 142, "0003554576833266765": 142, "000357092940248549": 142, "0003575702430680394": 142, "00035856617614626884": 142, "0003763537388294935": 142, "0003771781921387": 142, "0003807544708252": 142, "00038115272764116526": 142, "0003812116337940097": 142, "0003845691680908": 142, "0003869533538818": 142, "0003924482152797282": 142, "0003928642254322767": 142, "00039639772148802876": 142, "0003970861434937": 142, "00039876069058664143": 142, "0003998279571533": 142, "0003998760657850653": 142, "0004000500775873661": 142, "00040015505510382354": 142, "00040590643766336143": 142, "00040864944458": 142, "00040930125396698713": 142, "00042020060936920345": 142, "00042304652743041515": 142, "00042783375829458237": 142, "0004290194483473897": 142, "0004301071166992": 142, "0004348754882812": 142, "0004372596740723": 142, "0004437485767994076": 142, "00044462704681791365": 142, "0004446506500244": 142, "00044568482553586364": 142, "00044573593186214566": 142, "0004490048158913851": 142, "00044948089634999633": 142, "00045063928700983524": 142, "0004563331604004": 142, "0004616783407982439": 142, "0004651397466659546": 142, "0004670594644267112": 142, "0004692077636719": 142, "0004700595745816827": 142, "000470294791739434": 142, "000471228442620486": 142, "0004768371582031": 142, "000476856657769531": 142, "0004800418100785464": 142, "00048631682875566185": 142, "0004866123199463": 142, "00048719250480644405": 142, "0004878044128418": 142, "0004885614616796374": 142, "0004920959472656": 142, "0004948808345943689": 142, "0004967507557012141": 142, "0004973342292942107": 142, "0004977480275556445": 142, "0004989846493117511": 142, "0005": [132, 147, 157], "0005028170999139547": 142, "0005028247833252": 142, "0005061626434326": 142, "0005067589227110147": 142, "0005087722092866898": 142, "0005107405595481396": 142, "000511884689331": 142, "0005245502106845379": 142, "0005246661603450775": 142, "0005287864478304982": 142, "0005321502685547": 142, "0005362033843994": 142, "000538348569534719": 142, "0005409717559814": 142, "0005412959144450724": 142, "0005433960468508303": 142, "0005459820386022329": 142, "0005460096290335059": 142, "0005478858947754": 142, "0005481984699144959": 142, "0005489251925610006": 142, "0005491672200150788": 142, "0005521774291992": 142, "0005532538634724915": 142, "000555864826310426": 142, "0005643367767334": 142, "0005668421508744359": 142, "0005668969242833555": 142, "0005670578102581203": 142, "0005688667297363": 142, "00057053565979": 142, "0005768050905317068": 142, "0005769029958173633": 142, "0005771710420958698": 142, "0005785662215203047": 142, "000578912440687418": 142, "0005791094736196101": 142, "0005798748461529613": 142, "0005803088424727321": 142, "0005805321270599961": 142, "0005816264310851693": 142, "0005849473527632654": 142, "0005877746734768152": 142, "0005924701690674": 142, "0005965163582004607": 142, "0005981922149658": 142, "0005982135771773756": 142, "0005989074707031": 142, "0006010497454553843": 142, "0006011829827912152": 142, "0006048051291145384": 142, "000604896224103868": 142, "0006066107889637351": 142, "0006067862850613892": 142, "0006082436884753406": 142, "0006113052368164": 142, "0006126947118900716": 142, "000613690004684031": 142, "0006148912943899632": 142, "0006173991714604199": 142, "0006189346313477": 142, "0006197973270900548": 142, "0006206035614014": 142, "0006254245527088642": 142, "0006284601404331625": 142, "0006294250488281": 142, "0006299940287135541": 142, "0006305220886133611": 142, "000631332397461": 142, "0006327259470708668": 142, "0006367393070831895": 142, "0006370702758431435": 142, "0006403923034668": 142, "0006420612335205": 142, "000643253326416": 142, "0006462987512350082": 142, "0006497110589407384": 142, "0006499290466309": 142, "0006503215408883989": 142, "0006510986713692546": 142, "0006546080112457275": 142, "0006579817272722721": 142, "000658189645037055": 142, "000663560931570828": 142, "0006663777166977525": 142, "0006736360373906791": 142, "0006761237164027989": 142, "0006777775124646723": 142, "0006819299887865782": 142, "0006825602613389492": 142, "0006864801980555058": 142, "0006869679200462997": 142, "0006875941180624068": 142, "000690324988681823": 142, "0006909095100127161": 142, "0006935596466064": 142, "0006958736339583993": 142, "0006964468630030751": 142, "0006982155027799308": 142, "0007017148309387267": 142, "0007022966747172177": 142, "0007027627434581518": 142, "0007041651988402009": 142, "0007069110870361": 142, "0007081059738993645": 142, "0007085800170898": 142, "0007098907954059541": 142, "0007107257843018": 142, "0007115555927157402": 142, "0007118033827282488": 142, "0007126799901016057": 142, "000713348388672": 142, "0007160748937167227": 142, "0007167888106778264": 142, "0007194405770860612": 142, "0007266817847266793": 142, "0007284138118848205": 142, "0007290840148926": 142, "0007297992706299": 142, "0007368546212092042": 142, "0007370213861577213": 142, "0007379958406090736": 142, "0007389800157397985": 142, "0007404640200547874": 142, "0007416493026539683": 142, "0007421970367432": 142, "0007425927324220538": 142, "0007483959197998": 142, "0007487500552088022": 142, "0007493705488741398": 142, "0007494335877709091": 142, "0007518772617913783": 142, "0007522888481616974": 142, "0007527073030360043": 142, "0007553346222266555": 142, "000758409500122": 142, "0007588863372803": 142, "0007612879853695631": 142, "0007633811910636723": 142, "0007664752774871886": 142, "0007670935010537505": 142, "0007676598033867776": 142, "0007680344278924167": 142, "0007686251192353666": 142, "0007718250853940845": 142, "0007750680670142174": 142, "0007754283724352717": 142, "000780128815677017": 142, "0007815020508132875": 142, "0007855892181396": 142, "0007863451610319316": 142, "0007866572123020887": 142, "0007880815537646413": 142, "0007944107055664": 142, "0007957352208904922": 142, "0007963180541992": 142, "0007994231418706477": 142, "000800371170044": 142, "0008039845270104706": 142, "0008043256239034235": 142, "0008054870995692909": 142, "0008067889721132815": 142, "0008099366095848382": 142, "0008120763814076781": 142, "000813063932582736": 142, "000814437866211": 142, "0008200285374186933": 142, "0008201599121094": 142, "0008202073513530195": 142, "0008205223130062222": 142, "0008225440979004": 142, "000822690490167588": 142, "0008231026004068553": 142, "0008234977722168": 142, "0008270740509033": 142, "0008318424224854": 142, "0008355495519936085": 142, "0008370628347620368": 142, "000837218773085624": 142, "0008422791725024581": 142, "0008440017700195": 142, "0008467413135804236": 142, "0008601864101365209": 142, "0008608928765170276": 142, "0008676052093506": 142, "0008677433943375945": 142, "0008707473753020167": 142, "0008721351623535": 142, "0008769558044150472": 142, "0008773719309829175": 142, "0008775887545198202": 142, "0008855163468979299": 142, "0008879505912773311": 142, "0008927370072342455": 142, "0008956789970397949": 142, "0008957386016846": 142, "0008992947405204177": 142, "0009032238740473986": 142, "0009033679962158": 142, "0009095668792725": 142, "0009106247453019023": 142, "0009106408106163144": 142, "000913670752197504": 142, "0009143097558990121": 142, "0009152303682640195": 142, "000917419558390975": 142, "0009211331489495933": 142, "0009231714066118002": 142, "0009234409662894905": 142, "0009245116962119937": 142, "000925064086914": 142, "0009270933223888278": 142, "0009271538583561778": 142, "0009279251098633": 142, "0009283158578909934": 142, "0009288787841797": 142, "0009338855743408": 142, "0009357929229736": 142, "0009366945014335215": 142, "000937724718824029": 142, "0009381032432429492": 142, "0009382306016050279": 142, "0009399604750797153": 142, "0009400844573975": 142, "0009408413898199797": 142, "0009408981422893703": 142, "0009419361012987792": 142, "0009531626710668206": 142, "000953197479248": 142, "0009536743164062": 142, "0009554504649713635": 142, "0009568776586093009": 142, "00095796585083": 142, "0009593454888090491": 142, "0009636878967285": 142, "0009667361155152321": 142, "0009691755403764546": 142, "0009699420188553631": 142, "0009730235324241221": 142, "00097462855046615": 142, "0009771588956937194": 142, "0009777545928955": 142, "000981092453003": 142, "0009885751642286777": 142, "0009899139404297": 142, "0009902706369757652": 142, "0009903399040922523": 142, "000993892434053123": 142, "0009947801008820534": 142, "000997144728899002": 142, "0009982585906982": 142, "001": [132, 157], "0010001662885770202": 142, "0010008811950684": 142, "0010051785502582788": 142, "0010076630860567093": 142, "001009156578220427": 142, "0010113716125488": 142, "0010113785974681377": 142, "0010120231891050935": 142, "0010125637054443": 142, "0010137557983398": 142, "0010175704956055": 142, "0010187615407630801": 142, "0010188078740611672": 142, "0010199120733886957": 142, "001021533738821745": 142, "0010254383087158": 142, "0010290059726685286": 142, "00102996826172": 142, "0010338106658309698": 142, "00104671367444098": 142, "0010486225364729762": 142, "0010512456065043807": 142, "0010516926413401961": 142, "0010522996308282018": 142, "0010576248168945": 142, "0010601530084386468": 142, "001060915645211935": 142, "0010635291691869497": 142, "001070261001587": 142, "0010706079192459583": 142, "001073837280273": 142, "0010740756988525": 142, "0010741723235696554": 142, "0010765615152195096": 142, "0010807514190674": 142, "001081943511963": 142, "0010855197906494": 142, "001086804666556418": 142, "0010872113052755594": 142, "0010879230685532093": 142, "001092184567824006": 142, "0010926723480225": 142, "001109353150241077": 142, "001112699508667": 142, "001113984500989318": 142, "0011165142059326": 142, "0011169156059622765": 142, "0011184215545654": 142, "0011194351827725768": 142, "0011200382141396403": 142, "0011206766357645392": 142, "0011217491701245308": 142, "001122236251831": 142, "0011242055334150791": 142, "0011253356933594": 142, "001127004623413": 142, "0011276091681793332": 142, "001129518961533904": 142, "0011298235040158033": 142, "0011342802317813039": 142, "001136302947998": 142, "0011384112294763327": 142, "0011396562913432717": 142, "0011399658396840096": 142, "0011414495529606938": 142, "001143778907135129": 142, "0011468635639175773": 142, "0011484598508104682": 142, "0011487007141113": 142, "0011487259762361646": 142, "0011513086501508951": 142, "0011535416124388576": 142, "0011552368523553014": 142, "001155366189777851": 142, "001157283782959": 142, "0011627674102783": 142, "001164197921753": 142, "0011644115438684821": 142, "0011653072433546185": 142, "0011656447313725948": 142, "001166537287645042": 142, "001166925998404622": 142, "0011718092719092965": 142, "0011755692539736629": 142, "00117557926569134": 142, "0011770725250244": 142, "0011799006024375558": 142, "0011825561523438": 142, "0011837907368317246": 142, "0011951923370361": 142, "0011954307556152": 142, "0011971713975071907": 142, "0011998829431831837": 142, "0012030362850055099": 142, "001204013824463": 142, "0012044789036735892": 142, "0012056156992912292": 142, "001206874847412": 142, "001207093708217144": 142, "0012075901031494": 142, "0012075969716534019": 142, "0012078285217285": 142, "0012081050081178546": 142, "0012099187588319182": 142, "001211854862049222": 142, "0012133816489949822": 142, "0012136545265093446": 142, "0012163445353507996": 142, "0012171141570433974": 142, "0012178421020508": 142, "0012206408428028226": 142, "0012216567993164": 142, "0012227295665070415": 142, "0012246324913576245": 142, "0012247562408447": 142, "0012266687117516994": 142, "0012295434717088938": 142, "0012323190458118916": 142, "0012349685421213508": 142, "0012455907417461276": 142, "001245988649316132": 142, "0012470075162127614": 142, "0012482035672292113": 142, "0012495274422690272": 142, "0012531280517578": 142, "0012532655382528901": 142, "001257054042071104": 142, "0012574195861816": 142, "0012589060934260488": 142, "001264": 132, "001270162989385426": 142, "0012755393981934": 142, "0012761198449879885": 142, "0012773815542459488": 142, "0012775036739185452": 142, "0012777551310136914": 142, "0012785779545083642": 142, "001279592514038": 142, "0012800772674381733": 142, "0012829303741455": 142, "0012890808284282684": 142, "0012918371940031648": 142, "0012945955386385322": 142, "0012967900838702917": 142, "001297598471865058": 142, "0012988717062398791": 142, "0012998580932617": 142, "0013020586920902133": 142, "0013025273801758885": 142, "0013048779219388962": 142, "0013059669872745872": 142, "001312974956817925": 142, "0013164622941985726": 142, "0013213157653809": 142, "0013282157015055418": 142, "0013292881194502115": 142, "001329617341980338": 142, "0013303756713867": 142, "001331791398115456": 142, "0013341866433620453": 142, "0013341903686523": 142, "0013347882777452469": 142, "001335427863523364": 142, "0013381819007918239": 142, "0013439655303955": 142, "001350406208075583": 142, "0013509332202374935": 142, "0013511180877686": 142, "0013530571013689041": 142, "0013558864593506": 142, "001357696601189673": 142, "0013586829882115126": 142, "0013599395751953": 142, "0013603626284748316": 142, "0013612732291221619": 142, "00136137008667": 142, "0013617885997518897": 142, "0013642311096191": 142, "0013675488298758864": 142, "001368131022900343": 142, "0013699531555176": 142, "0013707056641578674": 142, "001370906829834": 142, "0013766228221356869": 142, "0013768672943115": 142, "0013811727985739708": 142, "0013866493245586753": 142, "0013879837933927774": 142, "0013900954509153962": 142, "0013935405295342207": 142, "0013941539218649268": 142, "0013944796519353986": 142, "0013970795553177595": 142, "001399693894200027": 142, "0014033317565918": 142, "001405954360962": 142, "0014069080352783": 142, "0014095306396484": 142, "0014123916625977": 142, "0014139235718175769": 142, "0014152526855469": 142, "0014156085671857": 142, "001416688202880323": 142, "001416834769770503": 142, "0014169440837576985": 142, "0014190239598975e": 142, "0014195442199707": 142, "0014214179245755076": 142, "001422643661499": 142, "0014238357543945": 142, "0014257431030273": 142, "0014267596416175365": 142, "0014283657073975": 142, "0014301970368251204": 142, "0014336109161377": 142, "0014358848566189408": 142, "001440596068277955": 142, "0014422198291867971": 142, "00144624710083": 142, "0014546220190823078": 142, "0014559987466782331": 142, "0014595354441553354": 142, "0014595985412598": 142, "0014605129836127162": 142, "0014607213670387864": 142, "0014665126800537": 142, "0014679431915283": 142, "001471792347729206": 142, "0014719353057444096": 142, "001473523792810738": 142, "001473842072300613": 142, "001474142074585": 142, "001474380493164": 142, "001474571879953146": 142, "0014774799346924": 142, "001478132326155901": 142, "0014803409576416": 142, "001484556240029633": 142, "0014891590690240264": 142, "0014891624450684": 142, "001489690039306879": 142, "0014898777008057": 142, "001490592956543": 142, "0014927387237549": 142, "0014936195220798254": 142, "0014950138283893466": 142, "0014970302581787": 142, "0014991303905844688": 142, "00150015065446496": 142, "0015034425305202603": 142, "0015055978437885642": 142, "001507043838501": 142, "001513504539616406": 142, "0015152600826695561": 142, "0015175342559814": 142, "0015192031860352": 142, "0015203591901808977": 142, "0015208721160889": 142, "0015220122877508402": 142, "0015220642089844": 142, "0015249252319336": 142, "0015286389971151948": 142, "0015287025598809123": 142, "0015300383092835546": 142, "001530935405753553": 142, "0015312170144170523": 142, "0015339427627623081": 142, "001534519949927926": 142, "0015370845794678": 142, "0015385150909424": 142, "001541589736007154": 142, "0015430450439453": 142, "0015441415598616004": 142, "001544713973999": 142, "001545357401482761": 142, "0015477734850719571": 142, "0015478830318897963": 142, "0015490055084229": 142, "0015497945714741945": 142, "0015588102396577597": 142, "0015606880187988": 142, "0015609755646437407": 142, "0015621389029547572": 142, "0015639223856851459": 142, "0015707111451774836": 142, "001573085784912": 142, "0015735561028122902": 142, "001579761505127": 142, "0015864372253418": 142, "0015889548230916262": 142, "0015947838546708226": 142, "0015966892242432": 142, "0015990891261026263": 142, "00159963290207088": 142, "0015996611909940839": 142, "0016014575958252": 142, "0016031709965318441": 142, "0016060059424489737": 142, "0016064643859863": 142, "0016086101531982": 142, "0016106081893667579": 142, "0016107559204102": 142, "0016110605793073773": 142, "0016115116886794567": 142, "0016127889975905418": 142, "0016157627105713": 142, "0016163786640390754": 142, "0016181576065719128": 142, "0016187013825401664": 142, "0016196641372516751": 142, "0016205108258873224": 142, "001622200012207": 142, "001622971030883491": 142, "00162411923520267": 142, "0016242738347500563": 142, "0016253914218395948": 142, "0016300678253174": 142, "0016310214996338": 142, "0016323176678270102": 142, "0016329288482666": 142, "0016348361968994": 142, "0016369018703699112": 142, "0016376395942643285": 142, "0016389903612434864": 142, "0016398371662944555": 142, "0016400814056396": 142, "0016407689545303583": 142, "001643041498027742": 142, "0016430491814389825": 142, "0016436576843262": 142, "0016462802886963": 142, "0016506824176758528": 142, "0016520023345947": 142, "0016533994348719716": 142, "001657247543335": 142, "0016579627990723": 142, "0016602358082309365": 142, "0016608238220215": 142, "0016627311706543": 142, "0016742890002205968": 142, "0016751289367676": 142, "0016794204711914": 142, "0016794424736872315": 142, "0016804649494588375": 142, "001684188842773": 142, "0016858577728271": 142, "0016861815238371491": 142, "0016881213523447514": 142, "0016902920324355364": 142, "0016953013837337494": 142, "0016953945159912": 142, "001696620718576014": 142, "0016968250274658": 142, "0016979641513898969": 142, "0016982555389404": 142, "0016987323760986": 142, "0017056465148926": 142, "0017056848155334592": 142, "0017058849334717": 142, "0017073095077648759": 142, "0017080637626349926": 142, "0017110130283981562": 142, "0017124778823927045": 142, "0017142081633210182": 142, "0017154216766357": 142, "001716888160444796": 142, "0017170906066895": 142, "0017170975916087627": 142, "0017187595367432": 142, "0017189979553223": 142, "0017206186894327402": 142, "0017220695735886693": 142, "0017226793570443988": 142, "0017258599400520325": 142, "0017261095345020294": 142, "0017280206084251404": 142, "0017280365573242307": 142, "001729531679302454": 142, "001732697943225503": 142, "0017364128725603223": 142, "0017390251159668": 142, "0017404556274414": 142, "0017443953547626734": 142, "001745296991430223": 142, "001750539755448699": 142, "001750629162415862": 142, "0017521381378174": 142, "0017523576971143484": 142, "0017532428028061986": 142, "0017537219682708383": 142, "0017542839050293": 142, "0017552650533616543": 142, "0017554759979248": 142, "0017592906951904": 142, "0017607270274311304": 142, "0017659664154053": 142, "0017661688616499305": 142, "0017674132250249386": 142, "0017725223442539573": 142, "0017743885982781649": 142, "0017750951228663325": 142, "0017763596260920167": 142, "0017785148229449987": 142, "0017797946929932": 142, "0017802715301514": 142, "0017804307863116264": 142, "0017821209039539099": 142, "0017859935760498": 142, "0017883777618408": 142, "001788854598999": 142, "0017906477442011237": 142, "0017931797774508595": 142, "0017948170425370336": 142, "0017991065979004": 142, "0017992825014516711": 142, "0018022060394287": 142, "0018063223687931895": 142, "0018107380019500852": 142, "0018129348754883": 142, "0018140739994123578": 142, "0018191204871982336": 142, "0018198051257058978": 142, "0018212528666481376": 142, "0018236496252939105": 142, "0018253326416016": 142, "0018258322961628437": 142, "0018303394317627": 142, "0018329620361328": 142, "0018346309661865": 142, "0018384456634521": 142, "0018396377563477": 142, "001840353012085": 142, "001840523793362081": 142, "001845121383667": 142, "00184965133667": 142, "0018505753250792623": 142, "0018521723104640841": 142, "0018558502197266": 142, "0018574679270386696": 142, "0018604131182655692": 142, "001861967728473246": 142, "0018638342153280973": 142, "001863999990746379": 142, "0018649101257324": 142, "001875443384051323": 142, "0018763542175293": 142, "0018771543400362134": 142, "0018781200051307678": 142, "0018822243437170982": 142, "0018831827910616994": 142, "0018835067749023": 142, "001885877805761993": 142, "0018862176220864058": 142, "0018892288208008": 142, "0018918592249974608": 142, "001892009866423905": 142, "0018928050994873": 142, "0018933059182018042": 142, "001896382193081081": 142, "0018979564774781466": 142, "0018994779093191028": 142, "0019020258914679289": 142, "0019064382649958134": 142, "0019078254699707": 142, "0019152164459229": 142, "001915693283081": 142, "0019176006317139": 142, "001918077468872": 142, "0019191232277080417": 142, "0019195079803467": 142, "0019211769104004": 142, "0019274749793112278": 142, "0019285815069451928": 142, "0019301919965073466": 142, "00193103461060673": 142, "001934289932251": 142, "0019343423191457987": 142, "001936912536621": 142, "001941495225764811": 142, "0019462693016976118": 142, "0019498312612995505": 142, "0019500255584717": 142, "0019516944885254": 142, "0019535142928361893": 142, "001956834690645337": 142, "0019577897619456053": 142, "0019583702087402": 142, "001963808201253414": 142, "0019643306732178": 142, "0019655958749353886": 142, "0019682201091200113": 142, "0019683369901031256": 142, "0019683504942804575": 142, "0019690990447998": 142, "0019701241981238127": 142, "001975046470761299": 142, "0019754143431782722": 142, "001976220402866602": 142, "001977359876036644": 142, "00197772029787302": 142, "0019780511502176523": 142, "0019843578338623": 142, "0019910563714802265": 142, "0019912719726562": 142, "0019918836187571287": 142, "001994168385863304": 142, "00199717003852129": 142, "001998757943511009": 142, "001999855041504": 142, "002": [132, 157], "002000331878662": 142, "002002222230657935": 142, "002004151465371251": 142, "0020062923431396": 142, "002009091665968299": 142, "0020112991333008": 142, "002014398574829": 142, "002015202771872282": 142, "0020201206207275": 142, "0020222663879395": 142, "0020243246108293533": 142, "002026116708293557": 142, "002027262933552265": 142, "0020279076416045427": 142, "0020279271993786097": 142, "002030849456787": 142, "0020313262939453": 142, "0020314771682024": 142, "0020343807991594076": 142, "0020344257354736": 142, "0020360946655273": 142, "002042711479589343": 142, "0020464654080569744": 142, "0020478495862334967": 142, "0020487308502197": 142, "00204947916790843": 142, "0020522840786725283": 142, "0020539883989840746": 142, "0020549213513731956": 142, "002054973039776087": 142, "0020551681518555": 142, "0020568370819092": 142, "0020601749420166": 142, "0020656080450862646": 142, "0020677722059190273": 142, "002069992246106267": 142, "0020766258239746": 142, "0020767170935869217": 142, "0020795331802219152": 142, "002081899903714657": 142, "0020831322763115168": 142, "0020832682494074106": 142, "0020852088928223": 142, "002086877822876": 142, "0020890035666525364": 142, "0020924813579767942": 142, "0020949840545654": 142, "002096995012834668": 142, "002099683042615652": 142, "0021015366073697805": 142, "0021017463877797127": 142, "002102114260196686": 142, "002102940110489726": 142, "002104243729263544": 142, "0021088416688144207": 142, "0021103594917804003": 142, "0021106814965605736": 142, "00211373926140368": 142, "002115353476256132": 142, "0021186668891459703": 142, "0021236888132989407": 142, "002124412916600704": 142, "002124970080330968": 142, "0021253747399896383": 142, "0021256401669234037": 142, "0021286010742188": 142, "0021292695309966803": 142, "002131700515747": 142, "002133091911673546": 142, "002134115668013692": 142, "0021345615386963": 142, "002135407878085971": 142, "0021355152130127": 142, "002140776487067342": 142, "002140781609341502": 142, "002143578138202429": 142, "0021438852418214083": 142, "0021480275318026543": 142, "0021494836546480656": 142, "0021496377885341644": 142, "0021497991401702166": 142, "002150541404262185": 142, "002152442932129": 142, "0021540955640375614": 142, "0021545886993408": 142, "0021556031424552202": 142, "0021561721805483103": 142, "0021587079390883446": 142, "002159243682399392": 142, "0021599989850074053": 142, "0021608970127999783": 142, "002162233227863908": 142, "0021686626132577658": 142, "002172238426283002": 142, "002174323657527566": 142, "002176284790039": 142, "0021781921386719": 142, "0021801043767482042": 142, "0021808987949043512": 142, "0021812915802002": 142, "0021815947256982327": 142, "002183806849643588": 142, "002184228738769889": 142, "0021874904632568": 142, "002189893741160631": 142, "002190351486206": 142, "0021910667419434": 142, "0021955131087452173": 142, "0022010803222656": 142, "0022045422811061144": 142, "0022058486938477": 142, "002213898813351989": 142, "002216080902144313": 142, "0022213459014893": 142, "0022259182296693325": 142, "0022261142730713": 142, "002227156888693571": 142, "002227987628430128": 142, "0022318363189697": 142, "002232959959656": 142, "0022340770810842514": 142, "0022358894348145": 142, "0022375613916665316": 142, "0022389888763428": 142, "002242088317871": 142, "0022436731960624456": 142, "0022501945495605": 142, "0022566318511963": 142, "0022602081298828": 142, "00226121605373919": 142, "0022635459899902": 142, "002265007235109806": 142, "0022653962951153517": 142, "002265768591314554": 142, "0022668505553156137": 142, "0022671222686768": 142, "0022705618757754564": 142, "0022720610722899437": 142, "0022728999610990286": 142, "002275915117934346": 142, "0022783279418945": 142, "0022794101387262344": 142, "0022811889648438": 142, "0022814273834229": 142, "0022846932988613844": 142, "0022852420806885": 142, "002287810668349266": 142, "002289190888404846": 142, "002289807889610529": 142, "0022898244205862284": 142, "0022905971854925156": 142, "002293167868629098": 142, "0023153871297836304": 142, "002315828111022711": 142, "002317006466910243": 142, "0023236304987221956": 142, "0023250579833984": 142, "0023260749876499176": 142, "0023344438523054123": 142, "002335625933483243": 142, "0023371437564492226": 142, "0023391263093799353": 142, "0023394834715873003": 142, "0023398399353027": 142, "0023413996677845716": 142, "0023419857025146": 142, "002344055101275444": 142, "0023483671247959137": 142, "002349864924326539": 142, "0023499014787375927": 142, "0023515995126217604": 142, "002356946235522628": 142, "002357886638492346": 142, "002360417740419507": 142, "0023622512817383": 142, "002365112304688": 142, "0023669744841754436": 142, "0023682117462158": 142, "0023694038391113": 142, "002379314275458455": 142, "002379466313868761": 142, "0023828931152820587": 142, "0023834407329559326": 142, "0023844242095947": 142, "0023851385340094566": 142, "002391690155491233": 142, "0023949146270752": 142, "002395168412476778": 142, "0023965199943631887": 142, "00239896774292": 142, "002399897202849388": 142, "002401703270152211": 142, "0024018287658691": 142, "0024080590810626745": 142, "002409062348306179": 142, "0024094581604004": 142, "002412149216979742": 142, "0024146484211087227": 142, "0024151802062988": 142, "002415657043457": 142, "0024193059653043747": 142, "0024218559265137": 142, "0024223406799137592": 142, "0024245851673185825": 142, "0024267134722322226": 142, "0024286957923322916": 142, "002431869506836": 142, "0024351803585886955": 142, "0024378299713135": 142, "0024385452270508": 142, "0024397373199463": 142, "002440259326249361": 142, "0024404379073530436": 142, "002440584823489189": 142, "0024421336129307747": 142, "0024451210629194975": 142, "0024466514587402": 142, "002447428647428751": 142, "0024490356445312": 142, "002450942993164": 142, "00245111808180809": 142, "002451480133458972": 142, "0024517145939171314": 142, "0024517520796507597": 142, "0024538040161133": 142, "0024549961090088": 142, "0024559497833252": 142, "002456808229908347": 142, "0024576459545642138": 142, "002458090428262949": 142, "002460006857290864": 142, "0024620264302939177": 142, "002462082775309682": 142, "002466467907652259": 142, "0024678707122803": 142, "0024684618692845106": 142, "0024694870226085186": 142, "0024733543395996": 142, "0024738311767578": 142, "0024741434026509523": 142, "0024743101093918085": 142, "0024797916412354": 142, "0024813355412334204": 142, "0024821758270264": 142, "0024868494365364313": 142, "002494506072252989": 142, "002495145658031106": 142, "002496524481102824": 142, "00249826000072062": 142, "002500629983842373": 142, "0025009694509208202": 142, "0025074481964111": 142, "0025078721810132265": 142, "00250918697565794": 142, "0025116880424320698": 142, "0025124549865723": 142, "0025195737835019827": 142, "00252167577855289": 142, "002522784750908613": 142, "0025243950076401234": 142, "002525023417547345": 142, "0025265216827393": 142, "0025265596341341734": 142, "0025275074876844883": 142, "002537287538871169": 142, "002542348112910986": 142, "0025436878204346": 142, "002544105052947998": 142, "0025464226491749287": 142, "0025477409362793": 142, "0025494014844298363": 142, "0025507479440420866": 142, "0025508403778076": 142, "0025525093078613": 142, "002556754043325782": 142, "0025575160980225": 142, "00256163883022964": 142, "0025617037899792194": 142, "0025620386004447937": 142, "0025622844696045": 142, "002563287504017353": 142, "0025649070739746": 142, "0025657955557107925": 142, "002566348761320114": 142, "0025672912597656": 142, "0025715827941895": 142, "0025717965327203274": 142, "002573013305664": 142, "002576361643150449": 142, "0025777199771255255": 142, "0025777786504477262": 142, "002582353539764881": 142, "002584000350907445": 142, "002584346104413271": 142, "0025883144699037075": 142, "002589464187622": 142, "0025905671063810587": 142, "0025925636291504": 142, "0025939960032701492": 142, "0025956630706787": 142, "0025961226783692837": 142, "0025979848578572273": 142, "0025997161865234": 142, "002599789062514901": 142, "0026003357488662004": 142, "0026007441338151693": 142, "002601473592221737": 142, "002601475454866886": 142, "002601824002340436": 142, "0026079132221639156": 142, "0026109218597412": 142, "0026135083753615618": 142, "002614974975586": 142, "002617359161377": 142, "002618800848722458": 142, "002618869999423623": 142, "002620325656607747": 142, "002622427884489298": 142, "0026237964630127": 142, "0026321411132812": 142, "0026328193489462137": 142, "00263417256064713": 142, "0026379385963082314": 142, "002638816833496": 142, "0026390464045107365": 142, "002642550505697727": 142, "0026428699493408": 142, "002645754488185048": 142, "0026490688323975": 142, "0026505612768232822": 142, "0026523692067712545": 142, "0026531219482422": 142, "002654790878296": 142, "002655930817127228": 142, "002658676356077194": 142, "002660137601196766": 142, "002661491511389613": 142, "0026636486873030663": 142, "002665376989170909": 142, "0026676654815674": 142, "002673476468771696": 142, "002674250165000558": 142, "0026743218768388033": 142, "002676010131836": 142, "00267605809494853": 142, "0026780820917338133": 142, "0026806178502738476": 142, "002683401107788": 142, "002684671664610505": 142, "0026865280233323574": 142, "0026880705263465643": 142, "002688812557607889": 142, "0026893615722656": 142, "002694327849894762": 142, "002694759052246809": 142, "0026970140170305967": 142, "002697839867323637": 142, "0026978489477187395": 142, "0026988587342202663": 142, "002699269913136959": 142, "0027050971984863": 142, "002706065308302641": 142, "002710145665332675": 142, "0027148723602295": 142, "002724317368119955": 142, "002726389328017831": 142, "0027267816476523876": 142, "0027287006378174": 142, "002729294588789344": 142, "0027313583996146917": 142, "002732173539698124": 142, "0027348287403583527": 142, "002734984504058957": 142, "0027360916137695": 142, "0027365458663553": 142, "0027368068695068": 142, "0027411391492933035": 142, "002741813659668": 142, "0027422904968262": 142, "0027426048181951046": 142, "0027437210083008": 142, "0027477741241455": 142, "002749872859567404": 142, "0027563029434531927": 142, "0027584838680922985": 142, "0027606338262557983": 142, "0027610971592366695": 142, "002765445737168193": 142, "0027658939361572": 142, "0027673852164298296": 142, "0027679402846843004": 142, "0027689021080732346": 142, "0027689933776855": 142, "0027728080749512": 142, "002776411594823003": 142, "0027840631082654": 142, "0027850489132106304": 142, "0027861595153809": 142, "002786543918773532": 142, "0027868747711182": 142, "0027877185493707657": 142, "0027880012057721615": 142, "0027911688666790724": 142, "0027949810028076": 142, "0027964115142822": 142, "0027965984772890806": 142, "0027981481980532408": 142, "0027997493743896": 142, "002800464630127": 142, "0028019605670124292": 142, "0028023719787598": 142, "0028058169409632683": 142, "0028082765638828278": 142, "0028102397918701": 142, "0028147264383733273": 142, "002817153930664": 142, "0028183460235596": 142, "0028194598853588104": 142, "0028233528137207": 142, "0028234708588570356": 142, "0028288711328059435": 142, "002831405494362116": 142, "0028320164419710636": 142, "0028355889953672886": 142, "0028390884399414": 142, "0028438568115234": 142, "0028479099273682": 142, "0028500354383140802": 142, "002851134864613414": 142, "0028538703918457": 142, "0028572611045092344": 142, "0028574466705322": 142, "002859115600586": 142, "0028595924377441": 142, "0028597977943718433": 142, "0028605461120605": 142, "0028607845306396": 142, "0028610229492188": 142, "00286351446993649": 142, "0028667449951172": 142, "002872015116736293": 142, "0028741359710693": 142, "002875947393476963": 142, "002877982100471854": 142, "0028846950735896826": 142, "0028848820365965366": 142, "002885341644287": 142, "0028856981080025434": 142, "0028860569000244": 142, "002888723975047469": 142, "0028917789459229": 142, "0028961901552975178": 142, "0028975009918213": 142, "0028984546661376953": 142, "0029005154501646757": 142, "0029040160588920116": 142, "002912448486313224": 142, "0029133588541299105": 142, "0029142568819224834": 142, "0029168850742280483": 142, "0029182434082031": 142, "0029260118026286364": 142, "0029265880584717": 142, "0029287589713931084": 142, "0029306411743164": 142, "002932965289801359": 142, "002941108774393797": 142, "0029414661694318056": 142, "0029444694519043": 142, "0029463295359164476": 142, "0029496566858142614": 142, "0029497146606445": 142, "002957159886136651": 142, "0029574595391750336": 142, "0029639892745763063": 142, "0029656800907105207": 142, "002966598141938448": 142, "002967570908367634": 142, "002972280140966177": 142, "0029723644256592": 142, "002973591210320592": 142, "002974278060719371": 142, "0029784240759909153": 142, "0029792785644531": 142, "0029802126809954643": 142, "0029807090759277": 142, "0029809474945068": 142, "002983981976285577": 142, "0029842853546143": 142, "0029874490574002266": 142, "0029876232147217": 142, "002988815307617": 142, "0029888153076172": 142, "0029890537261963": 142, "00298972032032907": 142, "0029910022858530283": 142, "0029911994934082": 142, "00299141020514071": 142, "002991915214806795": 142, "0029936551582068205": 142, "002995462855324149": 142, "002997875213623": 142, "0029983040876686573": 142, "0030005676671862602": 142, "0030025166925042868": 142, "0030026945751160383": 142, "003008743282407522": 142, "0030099672731012106": 142, "0030112331733107567": 142, "003014326095581": 142, "0030143847689032555": 142, "003014944028109312": 142, "0030169486999512": 142, "0030243396759033": 142, "0030296759214252234": 142, "0030303001403809": 142, "0030313327442854643": 142, "0030342109967023134": 142, "003034221241250634": 142, "003035068511963": 142, "003035545349121": 142, "003040796611458063": 142, "0030429363250732": 142, "0030454087536782026": 142, "003046309109777212": 142, "003046803642064333": 142, "0030486583709717": 142, "0030492788646370173": 142, "0030517578125": 142, "0030561904422938824": 142, "0030578868463635445": 142, "003059718292206526": 142, "0030615329742432": 142, "0030615790747106075": 142, "003068447113037": 142, "0030686855316162": 142, "0030712494626641273": 142, "0030729349236935377": 142, "0030735046602785587": 142, "0030736736953258514": 142, "00307585415430367": 142, "003076352411881089": 142, "0030787051655352116": 142, "003078789683058858": 142, "003084077499806881": 142, "0030851364135742": 142, "0030893234070390463": 142, "003092139959335327": 142, "0030937991105020046": 142, "0030968773644417524": 142, "0031027793884277": 142, "0031046867370605": 142, "003105330979451537": 142, "0031064865179359913": 142, "0031073093414307": 142, "0031078236643224955": 142, "0031085014343262": 142, "003109525889158249": 142, "0031110155396163464": 142, "0031111240386963": 142, "0031123161315918": 142, "0031142234802246": 142, "003115415805950761": 142, "0031173620373010635": 142, "0031176290940493345": 142, "0031177077908068895": 142, "0031180819496512413": 142, "0031185150146484": 142, "0031211241148412228": 142, "0031216563656926155": 142, "0031243127305060625": 142, "003124713897705": 142, "003129243850708": 142, "0031323432922363": 142, "0031332664657384157": 142, "003133499063551426": 142, "003135210368782282": 142, "0031389836221933365": 142, "003139183623716235": 142, "0031400343868881464": 142, "0031402111053467": 142, "0031418101862072945": 142, "0031442921608686447": 142, "0031445026397705": 142, "003150130622088909": 142, "003152107121422887": 142, "0031538009643555": 142, "0031568841077387333": 142, "003158265259116888": 142, "0031592845916748": 142, "0031616687774658": 142, "0031662581022828817": 142, "003166584763675928": 142, "00316797336563468": 142, "003169059753418": 142, "0031695365905762": 142, "0031703212298452854": 142, "003174457000568509": 142, "003178596496582": 142, "003178914077579975": 142, "0031798160634934902": 142, "0031802654266357": 142, "0031864643096924": 142, "0031907558441162": 142, "0031916082371026278": 142, "003196375211700797": 142, "0031976073514670134": 142, "0032025815453380346": 142, "0032038688659668": 142, "003204107284546": 142, "0032049391884356737": 142, "0032059000805020332": 142, "0032066600397229195": 142, "003206998808309436": 142, "0032080519013106823": 142, "0032100677490234": 142, "0032107830047607": 142, "0032129227183759212": 142, "0032156850211322308": 142, "0032174587249756": 142, "0032213465310633183": 142, "0032244278118014336": 142, "003225326538086": 142, "0032272338867188": 142, "0032315657008439302": 142, "0032336711883545": 142, "0032341480255127": 142, "0032345231156796217": 142, "0032355785369873": 142, "0032367706298828": 142, "0032379627227783": 142, "0032382493373006582": 142, "0032391506247222424": 142, "0032391548156738": 142, "003245495492592454": 142, "0032474296167492867": 142, "003251552581787": 142, "0032541751861572": 142, "0032613277435303": 142, "0032648942433297634": 142, "0032674360554665327": 142, "0032683697063475847": 142, "0032706260681152": 142, "0032737255096436": 142, "003275056602433324": 142, "0032768249511719": 142, "003278060583397746": 142, "0032817416358739138": 142, "0032861232757568": 142, "0032899379730225": 142, "0032916069030762": 142, "0032934893388301134": 142, "003293920774012804": 142, "0032967200968414545": 142, "0032985210418701": 142, "0032991913612931967": 142, "003310549771413207": 142, "003313591005280614": 142, "0033154264092445374": 142, "0033222362399101257": 142, "003327329410240054": 142, "0033302307128906": 142, "003331313142552972": 142, "003333333181217313": 142, "0033333920873701572": 142, "003335765562951565": 142, "003335952758789": 142, "0033376538194715977": 142, "0033395900391042233": 142, "0033447742462158": 142, "003347201505675912": 142, "0033477633260190487": 142, "0033489775378257036": 142, "0033490010537207127": 142, "003349211299791932": 142, "003350019454956": 142, "0033506418112665415": 142, "003353497479110956": 142, "0033548639621585608": 142, "003356211818754673": 142, "0033579845912754536": 142, "0033639094326645136": 142, "003364573698490858": 142, "003365412587299943": 142, "003366410266608": 142, "0033690929412842": 142, "0033693129662424326": 142, "0033726447727531195": 142, "003374069929122925": 142, "003375354688614607": 142, "0033782527316361666": 142, "0033788681030273": 142, "0033841133117676": 142, "0033881664276123": 142, "003389666322618723": 142, "0033914558589458466": 142, "003391787875443697": 142, "0033936931286007166": 142, "003393919672816992": 142, "003394060069695115": 142, "0033962726593018": 142, "0033978058490902185": 142, "0034005641937256": 142, "003404988208785653": 142, "003406291827559471": 142, "0034070874098688364": 142, "003407436655834317": 142, "0034089088439941": 142, "00341": [131, 139], "003412098390981555": 142, "0034129619598389": 142, "003414516570046544": 142, "0034168818965554237": 142, "003420682158321142": 142, "0034213066101074": 142, "0034264742862433195": 142, "0034277439117432": 142, "003429651260376": 142, "003434658050537": 142, "003436715342104435": 142, "0034386131446808577": 142, "003439769148826599": 142, "003440281143411994": 142, "0034450958482921124": 142, "003446102142334": 142, "0034475326538086": 142, "0034496784210205": 142, "0034562021028250456": 142, "0034608840942383": 142, "003462553024292": 142, "0034688827581703663": 142, "003470997791737318": 142, "003471851348877": 142, "00347307906486094": 142, "003479242324829": 142, "0034849585499614477": 142, "0034852027893066": 142, "003485633060336113": 142, "00348577625118196": 142, "003486712696030736": 142, "0034878922160714865": 142, "0034948040265589952": 142, "003499342128634453": 142, "003502441802993417": 142, "0035032478626817465": 142, "0035040378570557": 142, "0035107135772705": 142, "0035153101198375225": 142, "0035158139653503895": 142, "003516674041748": 142, "0035241839941591024": 142, "0035243257880210876": 142, "00353075354360044": 142, "0035326480865479": 142, "0035343170166016": 142, "0035346869844943285": 142, "00353556452319026": 142, "0035356509033590555": 142, "0035367012023926": 142, "0035375894512981176": 142, "003539495402947068": 142, "0035404982045292854": 142, "003541590180248022": 142, "00354677252471447": 142, "003547191619873": 142, "0035484866239130497": 142, "003550334367901087": 142, "003551483154297": 142, "00355455931276083": 142, "003554685041308403": 142, "0035550855100154877": 142, "0035562689881771803": 142, "0035593509674072": 142, "0035596219822764397": 142, "0035622704308480024": 142, "003570318222046": 142, "0035786628723145": 142, "003579680807888508": 142, "0035806286614388227": 142, "0035807029344141483": 142, "0035817623138428": 142, "003585232188925147": 142, "0035855912137776613": 142, "003586740465834737": 142, "003588639199733734": 142, "003597476752474904": 142, "0035976790823042393": 142, "0036020278930664": 142, "0036072731018066": 142, "0036087376065552235": 142, "0036098032724112272": 142, "0036113588139414787": 142, "0036126049235463142": 142, "003613724373281002": 142, "003618328832089901": 142, "0036210480611771345": 142, "0036238369066268206": 142, "0036253659054636955": 142, "003627270460128784": 142, "0036276918835937977": 142, "00362796476110816": 142, "003627991070970893": 142, "003629207611084": 142, "0036319715436547995": 142, "003632012754678726": 142, "0036327505949884653": 142, "003638744354248": 142, "0036388433072715998": 142, "003638865426182747": 142, "003639770904555917": 142, "0036416680086404085": 142, "00364307826384902": 142, "0036433835048228502": 142, "00364670529961586": 142, "0036468505859375": 142, "003647700883448124": 142, "003647875739261508": 142, "0036480282433331013": 142, "0036518573760986": 142, "0036535263061523": 142, "0036537465639412403": 142, "0036553817335516214": 142, "003655536798760295": 142, "003658408299088478": 142, "0036604334600269794": 142, "0036618781741708517": 142, "003662347793579": 142, "003663333598524332": 142, "003664180636405945": 142, "0036663322243839502": 142, "003667177865281701": 142, "0036680698394775": 142, "003674206556752324": 142, "0036792291793972254": 142, "0036883354187012": 142, "0036888972390443087": 142, "003694346873089671": 142, "003695011138916": 142, "0037013764958828688": 142, "0037063981872051954": 142, "0037075693253427744": 142, "003708514617756009": 142, "003708801232278347": 142, "0037118117325007915": 142, "003713607788086": 142, "0037165628746151924": 142, "0037205219268799": 142, "0037217140197754": 142, "003724177833646536": 142, "003729152726009488": 142, "003731337608769536": 142, "0037333315704017878": 142, "0037335006054490805": 142, "0037335853558033705": 142, "003734664525836706": 142, "0037356296088546515": 142, "0037363225128501654": 142, "003737449645996": 142, "0037386531475931406": 142, "0037429360672831535": 142, "003747810609638691": 142, "003756510326638818": 142, "0037577152252197": 142, "003758954582735896": 142, "003760576248169": 142, "003769915783777833": 142, "003770112991333": 142, "0037704657297581434": 142, "003782941959798336": 142, "003783077234402299": 142, "00378986494615674": 142, "0037899017333984": 142, "0037902488838881254": 142, "0037926658987998962": 142, "0037965774536133": 142, "0038015842437744": 142, "0038033281452953815": 142, "0038034142926335335": 142, "003804178675636649": 142, "0038120746612549": 142, "0038146672304719687": 142, "003816876094788313": 142, "0038187382742762566": 142, "0038194775115698576": 142, "003820074023678899": 142, "0038210726343095303": 142, "003821444697678089": 142, "003822608385235071": 142, "003830342087894678": 142, "0038308771327137947": 142, "0038328170776367": 142, "003833323484286666": 142, "0038352347910404205": 142, "0038355945143848658": 142, "0038416385650635": 142, "0038417186588048935": 142, "003844529390335083": 142, "0038459300994873": 142, "0038497743662446737": 142, "0038526637945324183": 142, "003853239817544818": 142, "003869015723466873": 142, "0038693661335855722": 142, "003870018757879734": 142, "0038790947292000055": 142, "0038819313049316": 142, "0038881301879883": 142, "003890250576660037": 142, "0038932915776968002": 142, "003895570058375597": 142, "003897107904776931": 142, "0038993177004158497": 142, "0039050579071045": 142, "003908083774149418": 142, "003908523824065924": 142, "0039103031158447": 142, "0039122104644775": 142, "0039172172546387": 142, "0039176940917969": 142, "0039184181950986385": 142, "0039217183366417885": 142, "0039238655008375645": 142, "0039238929748535": 142, "0039251381531357765": 142, "003925297409296036": 142, "003929615020752": 142, "0039315223693848": 142, "0039317607879639": 142, "003934110980480909": 142, "0039367638528347015": 142, "003939999267458916": 142, "0039424896240234": 142, "003943832591176033": 142, "003951644524931908": 142, "003954102285206318": 142, "003958041314035654": 142, "003959017340093851": 142, "0039606094360352": 142, "003964450675994158": 142, "0039668083190918": 142, "0039780139923096": 142, "003979292698204517": 142, "003980275243520737": 142, "0039808750152588": 142, "003988472279161215": 142, "003991920966655016": 142, "003993194084614515": 142, "003994379658252001": 142, "0039970874786377": 142, "0040003652684390545": 142, "0040018558502197": 142, "004002332687378": 142, "004003602545708418": 142, "0040040016174316": 142, "0040082931518555": 142, "004010017961263657": 142, "004010051488876343": 142, "0040123462677002": 142, "0040147304534912": 142, "004020340275019407": 142, "004023246467113495": 142, "004026179667562246": 142, "004039146937429905": 142, "00403915299102664": 142, "004046155605465174": 142, "00404881127178669": 142, "004052239935845137": 142, "0040523940697312355": 142, "004054318182170391": 142, "004059992730617523": 142, "0040688514709473": 142, "004070281516760588": 142, "00407057860866189": 142, "00407075881958": 142, "0040717124938965": 142, "0040724277496338": 142, "004072654992341995": 142, "0040771961212158": 142, "004077279008924961": 142, "004079870879650116": 142, "00408046692609787": 142, "0040850639343262": 142, "004089612513780594": 142, "004090141970664263": 142, "0040907859802246": 142, "004092197399586439": 142, "004097437486052513": 142, "004098561592400074": 142, "0041019916534424": 142, "004103837534785271": 142, "0041041374206543": 142, "004110271111130714": 142, "004110805224627256": 142, "0041131973266602": 142, "0041139125823975": 142, "0041158199310303": 142, "0041160583496094": 142, "004128036089241505": 142, "004130206070840359": 142, "004133701324463": 142, "0041348934173584": 142, "004135227762162685": 142, "004136466886848211": 142, "004140801262110472": 142, "004141092300415": 142, "004148006439209": 142, "0041563017293810844": 142, "0041680335998535": 142, "004169878549873829": 142, "0041730403900146": 142, "00417485972866416": 142, "004179199691861868": 142, "0041802674531936646": 142, "004180500749498606": 142, "004181132186204195": 142, "004183292388916": 142, "0041835308074951": 142, "004183534532785416": 142, "004190252628177404": 142, "004191998858004808": 142, "0041930675506592": 142, "004194625653326511": 142, "004195301793515682": 142, "00419853487983346": 142, "004209222737699747": 142, "0042095184326172": 142, "004209811799228191": 142, "004210376180708408": 142, "004211476072669029": 142, "004216653294861317": 142, "0042173862457275": 142, "0042178630828857": 142, "004220003727823496": 142, "004220724105835": 142, "0042221546173096": 142, "004223451018333435": 142, "004223999101668596": 142, "004226530436426401": 142, "0042293071746826": 142, "004239559173584": 142, "004242980852723122": 142, "004243176896125078": 142, "0042461431585252285": 142, "004253205377608538": 142, "0042552947998047": 142, "004257662687450647": 142, "004258159082382917": 142, "004260540008545": 142, "004261465277522802": 142, "00426995987072587": 142, "004272925201803446": 142, "004273790400475264": 142, "004273971542716026": 142, "004281571134924889": 142, "0042907437309622765": 142, "0042917728424072": 142, "004293633624911308": 142, "004296294413506985": 142, "0042965412139893": 142, "0043044090270996": 142, "0043079853057861": 142, "004309822805225849": 142, "004310131072998": 142, "0043137073516846": 142, "0043153762817383": 142, "004318287130445242": 142, "004321165382862091": 142, "004321728833019733": 142, "0043241106905043125": 142, "004329720512032509": 142, "004330435302108526": 142, "004330526106059551": 142, "0043318611569702625": 142, "004331989213824272": 142, "004332785494625568": 142, "004332839511334896": 142, "004344327375292778": 142, "0043485164642334": 142, "0043489933013916": 142, "004351378884166479": 142, "004356682300567627": 142, "004357779398560524": 142, "004361359868198633": 142, "004362569190561771": 142, "004363566637039185": 142, "0043669757433235645": 142, "0043683052062988": 142, "0043699741363525": 142, "004370566923171282": 142, "004371970426291227": 142, "0043730735778809": 142, "00437365984544158": 142, "004373924806714058": 142, "004374992568045855": 142, "004378327634185553": 142, "004379783291369677": 142, "004380464553833": 142, "00438202079385519": 142, "004383409861475229": 142, "004387171473354101": 142, "004387228284031153": 142, "004389244131743908": 142, "004389762878418": 142, "004391804337501526": 142, "004394581075757742": 142, "0043971538543701": 142, "004397760611027479": 142, "0043985843658447": 142, "004398963879793882": 142, "004401844460517168": 142, "004404067993164": 142, "0044047832489014": 142, "0044059753417969": 142, "004414110444486141": 142, "004414560738950968": 142, "004416069481521845": 142, "0044169616885483265": 142, "004417341202497482": 142, "004422170575708151": 142, "0044288635253906": 142, "00442978460341692": 142, "0044312477111816": 142, "0044325487688183784": 142, "0044341087341309": 142, "0044360160827637": 142, "004439748357981443": 142, "0044423118233680725": 142, "0044460659846663475": 142, "004446136765182018": 142, "004448652267456": 142, "004449262749403715": 142, "0044504618272185326": 142, "004455087706446648": 142, "004457548726350069": 142, "004459327086806297": 142, "0044601596891880035": 142, "00446076737716794": 142, "0044646263122559": 142, "0044655799865723": 142, "004465694073587656": 142, "004468958359211683": 142, "0044732093811035": 142, "0044803619384766": 142, "004481112584471703": 142, "0044825440272688866": 142, "004486586432904005": 142, "004487224388867617": 142, "0044944286346436": 142, "004497903399169445": 142, "004498397000133991": 142, "004503159783780575": 142, "0045042037963867": 142, "004506142809987068": 142, "004509365186095238": 142, "004510427359491587": 142, "004511033650487661": 142, "004513024818152189": 142, "004518306814134121": 142, "0045247077941895": 142, "004525948315858841": 142, "004527478013187647": 142, "004529028199613094": 142, "0045301914215088": 142, "004532115999609232": 142, "004536489024758339": 142, "004540178459137678": 142, "0045413970947266": 142, "004542024806141853": 142, "004544923081994057": 142, "004545440431684256": 142, "00454740272834897": 142, "004547777120023966": 142, "0045502185821533": 142, "004553039092570543": 142, "004558206535875797": 142, "004560787696391344": 142, "004563808441162": 142, "00456685945391655": 142, "004570161923766136": 142, "004572797566652298": 142, "004573564510792494": 142, "0045747756958008": 142, "004576418548822403": 142, "0045840740203857": 142, "004584354814141989": 142, "004594575613737106": 142, "004604041576385498": 142, "004604849498718977": 142, "004606124013662338": 142, "0046065812930464745": 142, "0046069622039795": 142, "0046100616455078": 142, "004612684249878": 142, "0046162605285645": 142, "0046303272247314": 142, "004634736571460962": 142, "0046355724334717": 142, "004643440246582": 142, "0046436786651611": 142, "004645529668778181": 142, "004646441899240017": 142, "004649413283914328": 142, "0046570301055908": 142, "0046584606170654": 142, "0046641826629639": 142, "004666311666369438": 142, "0046688769944012165": 142, "004668951034546": 142, "004671161528676748": 142, "004672762472182512": 142, "004686606582254171": 142, "004692080430686474": 142, "004693544004112482": 142, "004694562871009111": 142, "0046954154968262": 142, "004699052777141333": 142, "0047032833099365": 142, "0047064367681741714": 142, "004706630948930979": 142, "004707336425781": 142, "0047099590301514": 142, "004710085224360228": 142, "0047106742858887": 142, "004711887799203396": 142, "0047142505645752": 142, "0047336360439658165": 142, "004740016534924507": 142, "0047403788194060326": 142, "004741375334560871": 142, "004747512750327587": 142, "004750568885356188": 142, "004755118861794472": 142, "0047574043273926": 142, "004757660441100597": 142, "004759606439620256": 142, "004760412964969873": 142, "004760933108627796": 142, "004764310084283352": 142, "0047647953033447": 142, "00476632546633482": 142, "004769141785800457": 142, "004770409781485796": 142, "004774755332618952": 142, "004777643363922834": 142, "0047824382781982": 142, "004786632023751736": 142, "004789864644408226": 142, "004791188053786755": 142, "0047938823699951": 142, "0047955513000488": 142, "00479730311781168": 142, "004799383692443371": 142, "0048027182929217815": 142, "0048096179962158": 142, "0048128655180335045": 142, "004818984307348728": 142, "004821153357625008": 142, "0048232078552246": 142, "004825883079320192": 142, "0048267841339111": 142, "004828929901123": 142, "004835272207856178": 142, "0048358747735619545": 142, "0048396587371826": 142, "004844455048441887": 142, "004849564284086227": 142, "004856089595705271": 142, "004856477025896311": 142, "0048587322235107": 142, "004859447479248": 142, "004860665649175644": 142, "0048668384552002": 142, "004868378397077322": 142, "004870234522968531": 142, "0048759207129478455": 142, "004876146093010902": 142, "0048797130584717": 142, "004880284890532494": 142, "004884278867393732": 142, "004884821362793446": 142, "0048861503601074": 142, "0048878192901611": 142, "004888003692030907": 142, "0048909187316895": 142, "004891405813395977": 142, "0048935413360596": 142, "004898390267044306": 142, "0049004554748535": 142, "0049009323120117": 142, "004903733730316162": 142, "004906415939331": 142, "0049077956937253475": 142, "00491312937811017": 142, "0049142837524414": 142, "004924321547150612": 142, "004929428920149803": 142, "00493314815685153": 142, "0049386024475098": 142, "004947919864207506": 142, "0049517154693604": 142, "004954130854457617": 142, "00495490524917841": 142, "0049564838409424": 142, "0049588680267334": 142, "0049591064453125": 142, "004959798417985439": 142, "0049617476761341095": 142, "004963410086929798": 142, "004963535815477371": 142, "004965101834386587": 142, "0049658059142529964": 142, "004969114903360605": 142, "004974123556166887": 142, "004976511001587": 142, "004976788070052862": 142, "0049781799316406": 142, "004978695884346962": 142, "0049798875115811825": 142, "004982602316886187": 142, "004982660990208387": 142, "004983410704880953": 142, "004984550178050995": 142, "004988499451428652": 142, "004990357905626297": 142, "00499050784856081": 142, "004991651512682438": 142, "0049938722513616085": 142, "004999810829758644": 142, "005": [132, 147, 157], "005002813413739204": 142, "005013172514736652": 142, "005019119940698147": 142, "005020416807383299": 142, "005021572113037": 142, "00502347946167": 142, "005024008918553591": 142, "005026116035878658": 142, "005028486251831": 142, "0050285677425563335": 142, "005031740292906761": 142, "005032031796872616": 142, "005035161972046": 142, "0050389766693115": 142, "005043046548962593": 142, "005056947469711304": 142, "005064999219030142": 142, "005067825317383": 142, "005068397615104914": 142, "0050685405731201": 142, "005072832107544": 142, "005074433516710997": 142, "005075439345091581": 142, "005079316440969706": 142, "005082635674625635": 142, "005083084106445": 142, "00508752791211009": 142, "0050914287567139": 142, "00509574543684721": 142, "005098819732666": 142, "005099250935018063": 142, "0051045417785645": 142, "0051069259643555": 142, "0051090717315674": 142, "005109221674501896": 142, "005111632868647575": 142, "005112462677061558": 142, "0051138401031494": 142, "0051167011260986": 142, "005117195192724466": 142, "005118522793054581": 142, "00511899683624506": 142, "005123402923345566": 142, "005129337310791": 142, "005132796708494425": 142, "005135853309184313": 142, "0051395893096924": 142, "0051443576812744": 142, "005145912058651447": 142, "0051463693380355835": 142, "005152012687176466": 142, "0051600933074951": 142, "005160293076187372": 142, "0051665306091309": 142, "005170066375285387": 142, "005170233082026243": 142, "005176278296858072": 142, "005182255525141954": 142, "005184026900678873": 142, "005191161762923002": 142, "005192419048398733": 142, "0051991939544678": 142, "0052032470703125": 142, "005204084794968367": 142, "0052058696746826": 142, "005209353286772966": 142, "0052094459533691": 142, "005211467854678631": 142, "0052120685577393": 142, "005212224088609219": 142, "0052175521850586": 142, "0052255247719585896": 142, "00522804260254": 142, "005230159033089876": 142, "005239408928900957": 142, "005240074824541807": 142, "0052495002746582": 142, "00525004044175148": 142, "0052502155303955": 142, "0052528358064591885": 142, "005254404153674841": 142, "0052614212036133": 142, "005264145787805319": 142, "005270454101264477": 142, "005272751674056053": 142, "005277395248413": 142, "005279861856251955": 142, "005280520301312208": 142, "005280852783471346": 142, "0052812099456787": 142, "005281274672597647": 142, "00528296222910285": 142, "0052852630615234": 142, "005286455154419": 142, "005286854691803455": 142, "0052878856658936": 142, "005288164131343365": 142, "005288711283355951": 142, "0052905757911503315": 142, "00529223307967186": 142, "005292568821460009": 142, "005297841038554907": 142, "005305964034050703": 142, "005312708206474781": 142, "005315665155649185": 142, "00531777972355485": 142, "0053203105926514": 142, "005322881508618593": 142, "0053246021270752": 142, "0053253173828125": 142, "0053293597884476185": 142, "005330111365765333": 142, "005331424996256828": 142, "005333736073225737": 142, "005334886722266674": 142, "005336882546544075": 142, "005338187795132399": 142, "0053393840789795": 142, "0053396224975586": 142, "0053398609161377": 142, "005341717042028904": 142, "005348671227693558": 142, "005350274965167046": 142, "0053510665893555": 142, "005353944376111031": 142, "005358838476240635": 142, "0053589344024658": 142, "005362205673009157": 142, "0053646801970899105": 142, "005375929642468691": 142, "005379744805395603": 142, "0053870677947998": 142, "00539269158616662": 142, "005398408509790897": 142, "005399332847446203": 142, "005401613190770149": 142, "0054020881652832": 142, "005403342191129923": 142, "005405552219599485": 142, "005405828356742859": 142, "005406634882092476": 142, "005409724544733763": 142, "005411914084106684": 142, "005417659413069487": 142, "0054185390472412": 142, "00541987270116806": 142, "005420906003564596": 142, "005422258749604225": 142, "0054259300231934": 142, "005431120749562979": 142, "005440509412437677": 142, "0054409503936768": 142, "005444943904876709": 142, "0054490566253662": 142, "0054492950439453": 142, "005459312349557877": 142, "005463286768645048": 142, "005463622976094484": 142, "005464774090796709": 142, "0054657459259033": 142, "0054693222045898": 142, "0054801227524876595": 142, "0054803104139864445": 142, "0054819583892822": 142, "005483627319336": 142, "0054842629469931126": 142, "005486395675688982": 142, "005489102099090815": 142, "005490145646035671": 142, "0054938904941082": 142, "005497110076248646": 142, "005497932434082": 142, "00549835292622447": 142, "005500993691384792": 142, "0055038928985596": 142, "005505505949258804": 142, "005509766284376383": 142, "0055110454559326": 142, "00551176071167": 142, "005512984003871679": 142, "005513390060514212": 142, "0055134296417236": 142, "005517828743904829": 142, "005521807819604874": 142, "005522830877453089": 142, "005523953586816788": 142, "005527571775019169": 142, "005528339650481939": 142, "005529346410185099": 142, "005534146446734667": 142, "005534338764846325": 142, "0055344104766846": 142, "0055358409881592": 142, "005535997450351715": 142, "005538206081837416": 142, "0055389404296875": 142, "005542738828808069": 142, "005545696709305048": 142, "005550806876271963": 142, "0055561065673828": 142, "005558347329497337": 142, "0055665969848633": 142, "0055723190307617": 142, "005572442431002855": 142, "0055735111236572": 142, "005573995411396027": 142, "005574456416070461": 142, "005578777752816677": 142, "005579660646617413": 142, "005579948425293": 142, "005580186843872": 142, "0055842399597168": 142, "0055851936340332": 142, "0055853272788226604": 142, "005588633008301258": 142, "0055902004241943": 142, "005593712907284498": 142, "005594253540039": 142, "005594898480921984": 142, "0055952072143555": 142, "0056114196777344": 142, "0056204795837402": 142, "005628235638141632": 142, "005634916480630636": 142, "00564087787643075": 142, "005643797572702169": 142, "0056452751159668": 142, "0056471824645996": 142, "005649654194712639": 142, "0056500434875488": 142, "005657227244228125": 142, "005661322735249996": 142, "0056631565093994": 142, "0056648254394531": 142, "005675437394529581": 142, "005677175708115101": 142, "0056772232055664": 142, "005679597146809101": 142, "0056822299957275": 142, "005682715680450201": 142, "0056853294372559": 142, "005686605349183083": 142, "005688113160431385": 142, "0057039260864258": 142, "005711003672331572": 142, "005713231395930052": 142, "005714205093681812": 142, "005717437714338303": 142, "005721926223486662": 142, "005727346055209637": 142, "0057325721718370914": 142, "00573941832408309": 142, "005740851163864136": 142, "0057415962219238": 142, "005743257235735655": 142, "005743404850363731": 142, "005744109395891428": 142, "005745760630816221": 142, "0057549476623535": 142, "005756139755249": 142, "0057566165924072": 142, "005759493447840214": 142, "005766428541392088": 142, "005768789444118738": 142, "0057722958736121655": 142, "005773879587650299": 142, "00577712059021": 142, "005780169274657965": 142, "005782046355307102": 142, "005785211455076933": 142, "005792676005512476": 142, "0057940483093262": 142, "0057942867279053": 142, "005796941462904215": 142, "0058067128993570805": 142, "005809960886836052": 142, "005810022354126": 142, "005812561139464378": 142, "0058140754699707": 142, "00581557909026742": 142, "005820762366056442": 142, "0058238506317139": 142, "005824042018502951": 142, "0058283805847168": 142, "005829095840454": 142, "0058321952819824": 142, "0058324337005615": 142, "0058343410491943": 142, "0058362483978271": 142, "005838247016072273": 142, "005840401630848646": 142, "00584389129653573": 142, "005847454071045": 142, "005850252229720354": 142, "0058536529541016": 142, "005855896044522524": 142, "0058565139770508": 142, "005856551229953766": 142, "005857548676431179": 142, "005873099435120821": 142, "005874295253306627": 142, "00587474787607789": 142, "005877186544239521": 142, "0058794021606445": 142, "0058832168579102": 142, "005890377797186375": 142, "005892276763916": 142, "0058989524841309": 142, "005899572279304266": 142, "0058997636660933495": 142, "0059044198133051395": 142, "005913898348808289": 142, "005914636421948671": 142, "0059151649475098": 142, "005918502807617": 142, "00592108815908432": 142, "005921255797147751": 142, "005924012046307325": 142, "0059251850470900536": 142, "005925389472395182": 142, "005927043966948986": 142, "005928960163146257": 142, "0059304237365723": 142, "005932172294706106": 142, "0059332847595215": 142, "0059416103176772594": 142, "005942565388977528": 142, "005944013595581": 142, "00594403175637126": 142, "00594441": 151, "005945694632828236": 142, "005947984755039215": 142, "0059559824876487255": 142, "005958255846053362": 142, "005958511494100094": 142, "0059607028961182": 142, "005963528528809547": 142, "005964328534901142": 142, "005968604702502489": 142, "005973900202661753": 142, "005975152365863323": 142, "0059752464294434": 142, "005979299545288": 142, "005981": 144, "005982205271720886": 142, "0059826374053955": 142, "0059919357299805": 142, "005993532948195934": 142, "0059940814971924": 142, "0059959888458252": 142, "00599817605689168": 142, "006": [132, 157], "006001987028867006": 142, "0060076713562012": 142, "0060151107609272": 142, "0060181617736816": 142, "006023402325809002": 142, "0060245990753174": 142, "006025515962392092": 142, "006025581620633602": 142, "00602633785456419": 142, "0060369111597537994": 142, "006038119085133076": 142, "00603913189843297": 142, "0060398578643799": 142, "00604248046875": 142, "006046269554644823": 142, "0060498714447021": 142, "006051122676581144": 142, "006057968363165855": 142, "006058374885469675": 142, "00606107711792": 142, "0060625076293945": 142, "0060627460479736": 142, "0060676392167806625": 142, "006068897899240255": 142, "006068916525691748": 142, "0060689449310303": 142, "0060713291168213": 142, "006072716787457466": 142, "0060769012197852135": 142, "0060770511627197": 142, "006080383900552988": 142, "006084872875362635": 142, "0060865879058838": 142, "006087713409215212": 142, "006091101095080376": 142, "0060970783233643": 142, "006098294164985418": 142, "006098716985434294": 142, "00610104575753212": 142, "006107412278652191": 142, "0061097145080566": 142, "006112043280154467": 142, "0061209844425320625": 142, "0061233043670654": 142, "006128394510596991": 142, "0061307563446462154": 142, "0061352252960205": 142, "0061368802562355995": 142, "0061450004577637": 142, "006146421190351248": 142, "0061466693878174": 142, "0061570885591208935": 142, "006164698861539364": 142, "0061662197113037": 142, "0061678886413574": 142, "006170528009533882": 142, "0061733354814350605": 142, "0061742281541228294": 142, "006174317095428705": 142, "006178379058838": 142, "006179816089570522": 142, "006185246631503105": 142, "0061967372894287": 142, "0061988830566406": 142, "0061991214752197": 142, "0062007904052734": 142, "006201246287673712": 142, "006202416028827429": 142, "006203543860465288": 142, "006204560399055481": 142, "006207261700183153": 142, "006209174636751413": 142, "006213819608092308": 142, "006215647328644991": 142, "006217829883098602": 142, "006219426169991493": 142, "0062203407287598": 142, "006220607087016106": 142, "006224934011697769": 142, "006230494938790798": 142, "006235774606466293": 142, "006238001398742199": 142, "006239777430891991": 142, "006239870097488165": 142, "006245184224098921": 142, "0062470766715705395": 142, "006257827393710613": 142, "006260592956095934": 142, "006263256072998": 142, "006269399542361498": 142, "0062711238861084": 142, "006272185128182173": 142, "006273879669606686": 142, "006275292485952377": 142, "0062758922576904": 142, "0062775611877441": 142, "006277977488934994": 142, "006279026158154011": 142, "006284721661359072": 142, "006291968282312155": 142, "0062947273254395": 142, "006295838858932257": 142, "00629899138584733": 142, "006299972999840975": 142, "006300926208496": 142, "006304784212261438": 142, "006308735813945532": 142, "0063095092773438": 142, "006319187581539154": 142, "006324660964310169": 142, "0063269138336182": 142, "0063281059265137": 142, "006331197451800108": 142, "006331978365778923": 142, "006332199089229107": 142, "0063348449766635895": 142, "006337450817227364": 142, "0063379667699337006": 142, "0063433647155762": 142, "006349402479827404": 142, "0063553922809660435": 142, "006357986945658922": 142, "006358541548252106": 142, "006358973681926727": 142, "006361843552440405": 142, "006363148335367441": 142, "0063683986663818": 142, "006368637084961": 142, "006368980277329683": 142, "00637876195833087": 142, "0063807964324951": 142, "006392240524292": 142, "006397126708179712": 142, "006398223806172609": 142, "006400272250175476": 142, "006401632912456989": 142, "006401768885552883": 142, "006405793596059084": 142, "006406545639038": 142, "006410498172044754": 142, "006411075592041": 142, "0064117908477783": 142, "006420908495783806": 142, "006424070801585913": 142, "0064265727996826": 142, "006434028502553701": 142, "006434166803956032": 142, "006435497663915157": 142, "006437208503484726": 142, "0064375400543213": 142, "006438071373850107": 142, "006439233664423227": 142, "0064396858215332": 142, "006440425291657448": 142, "006441354751587": 142, "0064420700073242": 142, "006444456521421671": 142, "006445928476750851": 142, "00644700275734067": 142, "0064496994018555": 142, "0064549446105957": 142, "0064575672149658": 142, "006462103221565485": 142, "006466376595199108": 142, "006481653545051813": 142, "0064829085022211075": 142, "006486852187663317": 142, "006487136706709862": 142, "006488067097961903": 142, "0064908890053629875": 142, "006491681095212698": 142, "00649277726188302": 142, "0064942836761475": 142, "0064952373504639": 142, "006500537041574717": 142, "006505651865154505": 142, "006506726145744324": 142, "006507873535156": 142, "0065090656280518": 142, "0065131187438965": 142, "0065135955810547": 142, "006515734363347292": 142, "006515965331345797": 142, "0065161981619894505": 142, "0065226554870605": 142, "0065243244171143": 142, "006525284145027399": 142, "0065348148345947": 142, "006535669323056936": 142, "006544091273099184": 142, "006552517414093018": 142, "006555140018463135": 142, "006556534208357334": 142, "006567003205418587": 142, "006568801589310169": 142, "0065698623657227": 142, "006570605095475912": 142, "0065718768164515495": 142, "0065736770629883": 142, "006573840510100126": 142, "006578564178198576": 142, "006579367443919182": 142, "0065817832946777": 142, "0065836906433105": 142, "006586206145584583": 142, "006587266921997": 142, "0065889358520508": 142, "0065922737121582": 142, "006595825310796499": 142, "006605593021959066": 142, "006605927366763353": 142, "006608820054680109": 142, "006612949073314667": 142, "00661492720246315": 142, "006615129765123129": 142, "006616899278014898": 142, "006616953294724226": 142, "0066184997558594": 142, "006620699539780617": 142, "006626572925597429": 142, "006629575975239277": 142, "006630766671150923": 142, "006631889380514622": 142, "006642209831625223": 142, "006642437074333429": 142, "006644504144787788": 142, "0066449642181396": 142, "0066540241241455": 142, "0066545009613037": 142, "0066566551104187965": 142, "00665676686912775": 142, "00665905000641942": 142, "0066592693328857": 142, "006661159917712212": 142, "006667165085673332": 142, "006675024051219225": 142, "00667580496519804": 142, "0066776275634766": 142, "0066783428192139": 142, "006686641369014978": 142, "0066871643066406": 142, "006687879562378": 142, "0066895484924316": 142, "0066900253295898": 142, "0066907405853271": 142, "0066943168640137": 142, "006697237957268953": 142, "006710262503474951": 142, "0067143440246582": 142, "006718635559082": 142, "006722399033606052": 142, "0067307949066162": 142, "006736278533935547": 142, "006737232208252": 142, "006741083227097988": 142, "006742904894053936": 142, "0067438711412250996": 142, "00674423249438405": 142, "006751919165253639": 142, "0067546367645264": 142, "006759243551641703": 142, "0067677549086511135": 142, "0067687034606934": 142, "006770836655050516": 142, "0067741842940449715": 142, "0067757065407931805": 142, "006778294686228037": 142, "006779852788895369": 142, "00678246608003974": 142, "006783933378756046": 142, "006787754595279694": 142, "006791591644287": 142, "0067927478812634945": 142, "00679353903979063": 142, "006794682238250971": 142, "0067977905273438": 142, "006800261326134205": 142, "0068018571473658085": 142, "006808263715356588": 142, "006808857899159193": 142, "006808873265981674": 142, "006812985520809889": 142, "0068137645721436": 142, "0068180561065674": 142, "006830163300037384": 142, "006833236664533615": 142, "006833553314209": 142, "0068354606628418": 142, "0068402290344238": 142, "006841529160737991": 142, "006842655595391989": 142, "0068440437316895": 142, "0068516731262207": 142, "0068583488464355": 142, "00685843825340271": 142, "006861450150609016": 142, "0068626403808594": 142, "0068681240081787": 142, "006870746612549": 142, "00687195872887969": 142, "0068761869333684444": 142, "0068800318986177444": 142, "006880521774292": 142, "0068824291229248": 142, "006885755807161331": 142, "006885910872370005": 142, "006888046860694885": 142, "006889878306537867": 142, "0068907737731934": 142, "0069048404693604": 142, "006905735470354557": 142, "00690815644338727": 142, "00691821938380599": 142, "006918862462043762": 142, "006918895058333874": 142, "0069219195283949375": 142, "0069231986999512": 142, "006925344467163": 142, "0069290585815906525": 142, "006929636001587": 142, "0069318837486207485": 142, "0069348812103271": 142, "0069377422332764": 142, "0069426572881639": 142, "006943410262465477": 142, "0069446563720703": 142, "006946380250155926": 142, "0069481441751122475": 142, "006951792165637016": 142, "006954156793653965": 142, "006958681624382734": 142, "006963304243981838": 142, "0069682598114014": 142, "0069692134857178": 142, "00697741936892271": 142, "006978558376431465": 142, "006988585460931063": 142, "006990603171288967": 142, "006991885602474213": 142, "0069931503385305405": 142, "0069949626922607": 142, "007": 147, "007000331301242113": 142, "007000641897320747": 142, "0070032053627073765": 142, "007005354389548302": 142, "007012407761067152": 142, "007022916339337826": 142, "007023046724498272": 142, "007023572921753": 142, "0070250034332275": 142, "007028377614915371": 142, "007031851448118687": 142, "007032283581793308": 142, "007034483831375837": 142, "007037431001663208": 142, "0070388317108154": 142, "007042646408081": 142, "0070428848266602": 142, "0070514678955078": 142, "007056330796331167": 142, "0070579051971436": 142, "0070592681877315044": 142, "007061243057251": 142, "0070624351501465": 142, "0070648193359375": 142, "007068043574690819": 142, "007068157196045": 142, "007073736749589443": 142, "007073966320604086": 142, "007083357777446508": 142, "0070836544036865": 142, "0070858001708984": 142, "007089616265147924": 142, "0070977210998535": 142, "007098968606442213": 142, "0071020126342773": 142, "007104094605892897": 142, "0071053504943848": 142, "0071077346801758": 142, "007108316291123629": 142, "007115136366337538": 142, "007116373628377914": 142, "007117509841919": 142, "0071180216036736965": 142, "0071184635162354": 142, "0071310997009277": 142, "0071320533752441": 142, "007133382838219404": 142, "0071349143981934": 142, "007135591935366392": 142, "00714581273496151": 142, "0071465969085693": 142, "007148503325879574": 142, "007149234414100647": 142, "007151799276471138": 142, "0071545010432600975": 142, "0071575273759663105": 142, "007157610729336739": 142, "0071585178375244": 142, "007158596534281969": 142, "007160458713769913": 142, "007162094116211": 142, "007164387498050928": 142, "007165318820625544": 142, "007167201489210129": 142, "007169964257627726": 142, "0071709156036377": 142, "007176160812378": 142, "007178140804171562": 142, "007179190870374441": 142, "007183313369751": 142, "007184361573308706": 142, "007185697555542": 142, "007193341385573149": 142, "0071942806243896": 142, "007195234298706": 142, "007198495324701071": 142, "0071995258331299": 142, "007202386856079": 142, "007206916809082": 142, "0072078704833984": 142, "0072109699249268": 142, "007213974371552467": 142, "007215976715088": 142, "007220289204269648": 142, "007220983505249": 142, "007222198415547609": 142, "007222544867545366": 142, "00722801499068737": 142, "007239501923322678": 142, "0072431922890245914": 142, "00724394153803587": 142, "007246584165841341": 142, "007249833084642887": 142, "007251814007759094": 142, "007255001924932003": 142, "007255448494106531": 142, "007255840115249157": 142, "007261614315211773": 142, "007263497915118933": 142, "0072665647603571415": 142, "0072686672210693": 142, "0072708129882812": 142, "007271739654242992": 142, "007273133844137192": 142, "0072731971740723": 142, "0072805881500244": 142, "007281574886292219": 142, "007292760070413351": 142, "007293174508959055": 142, "007297423202544451": 142, "007297523319721222": 142, "007300731725990772": 142, "0073020458221436": 142, "007308392785489559": 142, "0073093753308057785": 142, "007310866378247738": 142, "007312275003641844": 142, "007316298317164183": 142, "00731654092669487": 142, "007318083196878433": 142, "007318834774196148": 142, "007319233845919371": 142, "007319326978176832": 142, "007325560785830021": 142, "0073261260986328": 142, "007328573614358902": 142, "0073297023773193": 142, "007334284484386444": 142, "00733987707644701": 142, "007341848686337471": 142, "007342917378991842": 142, "007347434293478727": 142, "007347883656620979": 142, "0073485374450684": 142, "0073513914830982685": 142, "00735499057918787": 142, "0073559284210205": 142, "007355938665568829": 142, "007360297255218029": 142, "0073660290800035": 142, "0073678493499756": 142, "00737026147544384": 142, "0073704794049263": 142, "007372288499027491": 142, "007373571395874": 142, "0073740798979997635": 142, "007374163251370192": 142, "0073742866516113": 142, "007376841735094786": 142, "0073786512948572636": 142, "007379376795142889": 142, "007380392402410507": 142, "007382869720459": 142, "0073832012712955475": 142, "0073889256455004215": 142, "007391367573291063": 142, "007392250932753086": 142, "0073981285095215": 142, "007398318964987993": 142, "0073993573896586895": 142, "007403186056762934": 142, "007404022850096226": 142, "0074071884155273": 142, "0074090957641602": 142, "007418805733323097": 142, "007423727307468653": 142, "0074288845062256": 142, "007429898250848055": 142, "0074331760406494": 142, "007434682454913855": 142, "007437116000801325": 142, "0074386596679688": 142, "007439136505127": 142, "007439896464347839": 142, "007441346067935228": 142, "00744224525988102": 142, "0074429512023926": 142, "0074432832188904285": 142, "0074551105499268": 142, "0074565410614014": 142, "007459059823304415": 142, "007460629101842642": 142, "007469913922250271": 142, "0074710845947266": 142, "0074725151062012": 142, "007472851313650608": 142, "007475186139345169": 142, "0074761095456779": 142, "007478354964405298": 142, "007483720779419": 142, "00749098788946867": 142, "007491421420127153": 142, "007493019104004": 142, "007493304554373026": 142, "0074999332427979": 142, "007500171661377": 142, "007501923479139805": 142, "007503401953727007": 142, "007505178451538": 142, "0075085163116455": 142, "007508805952966213": 142, "007511854171753": 142, "0075141084380447865": 142, "007516189478337765": 142, "0075228214263916": 142, "007524547167122364": 142, "007525580935180187": 142, "007527749519795179": 142, "0075323558412492275": 142, "0075325011275708675": 142, "007536057382822037": 142, "0075391484424471855": 142, "007543932180851698": 142, "007545314729213715": 142, "007549524307251": 142, "007549670524895191": 142, "0075513566844165325": 142, "0075514316558838": 142, "0075533753260970116": 142, "007553830277174711": 142, "007561445236206": 142, "007562824059277773": 142, "0075654983520508": 142, "007573127746582": 142, "007574043702334166": 142, "007578345015645027": 142, "007581422571092844": 142, "007582542486488819": 142, "00758957862854": 142, "0075912475585938": 142, "0075944215059280396": 142, "0075998306274414": 142, "0076088905334473": 142, "0076101007871329784": 142, "007610134780406952": 142, "0076212515123188496": 142, "007627010345459": 142, "007631476037204266": 142, "00763237290084362": 142, "0076375007629395": 142, "0076384153217077255": 142, "007639648858457804": 142, "007646868005394936": 142, "0076487064361572": 142, "0076492344960570335": 142, "007649489678442478": 142, "007653364911675453": 142, "0076541900634766": 142, "00765602570027113": 142, "007657228037714958": 142, "007658990100026131": 142, "007661729119718075": 142, "007667758502066135": 142, "007669710088521242": 142, "0076713562011719": 142, "0076720714569092": 142, "007676065433770418": 142, "007677022833377123": 142, "007680900860577822": 142, "0076887607574463": 142, "0076904138550162315": 142, "0076904296875": 142, "0076966285705566": 142, "0077016353607178": 142, "00770413875579834": 142, "0077180862426758": 142, "007721": 144, "007723440881818533": 142, "0077283005230128765": 142, "0077283382415771": 142, "007732849568128586": 142, "007744889240711927": 142, "0077455043792725": 142, "007745703216642141": 142, "0077464580535889": 142, "0077545642852783": 142, "0077552795410156": 142, "007758411578834057": 142, "007764880079776049": 142, "0077666291035711765": 142, "0077753495424985886": 142, "0077778613194823265": 142, "0077793598175049": 142, "0077810287475586": 142, "0077817440032958984": 142, "007782503962516785": 142, "0077834129333496": 142, "007786977104842663": 142, "007789588067680597": 142, "0078125": 134, "007813310250639915": 142, "007814884185791": 142, "00781644694507122": 142, "00782044418156147": 142, "007824552245438099": 142, "007825462147593498": 142, "007826241664588451": 142, "007831362076103687": 142, "0078344345092773": 142, "0078377723693848": 142, "007838890887796879": 142, "007840871810913": 142, "007843147031962872": 142, "007845536805689335": 142, "0078458786010742": 142, "007854499854147434": 142, "007855009287595749": 142, "0078551769256592": 142, "007855233736336231": 142, "00786806270480156": 142, "007870612666010857": 142, "00787140242755413": 142, "0078742504119873": 142, "007875101640820503": 142, "007879477925598621": 142, "00788332149386406": 142, "007895862683653831": 142, "00789709109812975": 142, "007898791693150997": 142, "007899522781372": 142, "0079059600830078": 142, "007910966873169": 142, "007914766669273376": 142, "0079150199890137": 142, "007921213284134865": 142, "007922109216451645": 142, "007922887802124": 142, "007923532277345657": 142, "0079267024993896": 142, "0079350471496582": 142, "007935588248074055": 142, "00794357992708683": 142, "007946491241455": 142, "007948552258312702": 142, "007951021194458": 142, "0079538822174072": 142, "007962703704834": 142, "0079677104949951": 142, "007969626225531101": 142, "007970567792654037": 142, "007972002029419": 142, "0079729557037354": 142, "007977829314768314": 142, "007982812821865082": 142, "007985812611877918": 142, "007986967451870441": 142, "007993821986019611": 142, "007994050160050392": 142, "007997322827577591": 142, "007998147048056126": 142, "008": 147, "00800682045519352": 142, "0080091953277588": 142, "00801321305334568": 142, "0080149173736572": 142, "00802347157150507": 142, "008023533970117569": 142, "008040189743042": 142, "008047454059123993": 142, "00804936420172453": 142, "008051946759223938": 142, "008054987527430058": 142, "0080573558807373": 142, "008060423657298088": 142, "008068561553955": 142, "0080742835998535": 142, "008080685511231422": 142, "0080864429473877": 142, "0080904960632324": 142, "008090974763035774": 142, "0080914497375488": 142, "008091455325484276": 142, "00809392798691988": 142, "008094611577689648": 142, "0080976486206055": 142, "008098914287984371": 142, "008098949678242207": 142, "0081043243408203": 142, "00810686219483614": 142, "008109658025205135": 142, "008110825903713703": 142, "0081207752227783": 142, "0081210136413574": 142, "008123325183987617": 142, "008128783665597439": 142, "008129680529236794": 142, "008133179508149624": 142, "00814949069172144": 142, "00815071351826191": 142, "008152390830218792": 142, "0081558227539062": 142, "0081603527069092": 142, "008167775347828865": 142, "008169049397110939": 142, "008175043389201164": 142, "00817603524774313": 142, "008186431601643562": 142, "0081865787506104": 142, "008188009262085": 142, "008192210458219051": 142, "0081968307495117": 142, "00819993019104": 142, "0081e": 147, "008200451731681824": 142, "0082015991210938": 142, "008202075958252": 142, "008204479701817036": 142, "008208133280277252": 142, "008211135864258": 142, "00821219477802515": 142, "008212926797568798": 142, "0082151889801025": 142, "0082201957702637": 142, "008223217912018299": 142, "008232032880187035": 142, "008233677595853806": 142, "008241006173193455": 142, "008242872543632984": 142, "008243969641625881": 142, "0082528591156006": 142, "00826096534729": 142, "008268109522759914": 142, "008272618986666203": 142, "008276971988379955": 142, "00827956199646": 142, "008286714553833": 142, "00828936044126749": 142, "008291244506836": 142, "008294247090816498": 142, "008298635482788": 142, "00829925574362278": 142, "0083014965057373": 142, "008303648792207241": 142, "0083057880401611": 142, "008317470550537": 142, "0083177089691162": 142, "008321559987962246": 142, "008324256166815758": 142, "008332042023539543": 142, "0083339214324951": 142, "008335093036293983": 142, "0083374977111816": 142, "008339189924299717": 142, "008339672349393368": 142, "0083401203155518": 142, "0083439350128174": 142, "00834785308688879": 142, "008348013274371624": 142, "008355386555194855": 142, "008358201012015343": 142, "008359935134649277": 142, "008367765694856644": 142, "008367904461920261": 142, "0083694458007812": 142, "0083720684051514": 142, "008377371355891228": 142, "008380147628486156": 142, "008383353240787983": 142, "008384005166590214": 142, "008384132757782936": 142, "008393298834562302": 142, "008396059274673462": 142, "008398469537496567": 142, "0084013938903809": 142, "008401813916862011": 142, "008402039296925068": 142, "008405421860516071": 142, "0084095001220703": 142, "0084190368652344": 142, "00842105783522129": 142, "008421224541962147": 142, "008425629697740078": 142, "0084333419799805": 142, "0084354877471924": 142, "008435776457190514": 142, "00843714363873005": 142, "008439116179943085": 142, "00844144821167": 142, "008451223373413": 142, "008454721421003342": 142, "008458137512207": 142, "0084583759307861": 142, "008459151722490788": 142, "008461089804768562": 142, "008461261168122292": 142, "0084657669067383": 142, "0084681510925293": 142, "00847212690860033": 142, "00847725011408329": 142, "00847925": 133, "0084831714630127": 142, "008484948426485062": 142, "008493286557495594": 142, "008494017645716667": 142, "008504286408424377": 142, "008505110628902912": 142, "008505281992256641": 142, "008508605882525444": 142, "0085124969482422": 142, "008515143766999245": 142, "0085184574127197": 142, "008524582721292973": 142, "008525948040187359": 142, "008528000675141811": 142, "008528406731784344": 142, "008528712205588818": 142, "008528897538781166": 142, "00852951966226101": 142, "008529985323548317": 142, "0085318088531494": 142, "0085339546203613": 142, "008544921875": 142, "008545160293579": 142, "008548143319785595": 142, "0085492134094238": 142, "008552074432373": 142, "00855262391269207": 142, "008558988571167": 142, "008559226989746": 142, "0085604190826416": 142, "0085618495941162": 142, "0085639953613281": 142, "008565625175833702": 142, "0085670948028564": 142, "008568286895752": 142, "008582904003560543": 142, "008583406917750835": 142, "008598771877586842": 142, "008599376305937767": 142, "008612602017819881": 142, "008612897247076035": 142, "008614384569227695": 142, "008616263046860695": 142, "008632875047624111": 142, "0086350440979004": 142, "0086500644683838": 142, "008650463074445724": 142, "008650779724121": 142, "0086510181427002": 142, "008654223755002022": 142, "008656195364892483": 142, "0086581707000732": 142, "0086638927459717": 142, "008663935586810112": 142, "00866673979908228": 142, "0086710453033447": 142, "0086719989776611": 142, "008674525655806065": 142, "008677254430949688": 142, "0086798667907715": 142, "0086822509765625": 142, "008682760410010815": 142, "0086860656738281": 142, "0086898803710938": 142, "008690360933542252": 142, "00869558285921812": 142, "008698942139744759": 142, "008702039718628": 142, "0087039470672607": 142, "008707385510206223": 142, "008714036084711552": 142, "0087144374847412": 142, "008716929703950882": 142, "0087175369262695": 142, "008720980025827885": 142, "0087218284606934": 142, "008725643157959": 142, "0087320804595947": 142, "008736982941627502": 142, "0087392330169678": 142, "008749812841415405": 142, "008750822395086288": 142, "008754014968872": 142, "008755438029766083": 142, "0087575912475586": 142, "008760929107666": 142, "008765459060669": 142, "008769421838223934": 142, "00877357181161642": 142, "008778766728937626": 142, "0087800994515419": 142, "0087809562683105": 142, "008781433105469": 142, "008783694356679916": 142, "0087862014770508": 142, "0087881088256836": 142, "008788300678133965": 142, "0087916851043701": 142, "008794525638222694": 142, "0087950229644775": 142, "008802302181720734": 142, "0088095664978027": 142, "00881186593323946": 142, "008813968859612942": 142, "0088188648223877": 142, "00882701762020588": 142, "008827810175716877": 142, "00882873684167862": 142, "008831262588501": 142, "00883217e": 134, "00883255e": 134, "00883310753852129": 142, "008833314292132854": 142, "008840701542794704": 142, "0088410377502441": 142, "0088496208190918": 142, "0088541507720947": 142, "008856046944856644": 142, "0088560581207275": 142, "008860096335411072": 142, "008862094022333622": 142, "008862306363880634": 142, "008870908990502357": 142, "00887212809175253": 142, "008872522041201591": 142, "008873462677002": 142, "008880325593054295": 142, "0088822841644287": 142, "0088844299316406": 142, "008886180818080902": 142, "008886219002306461": 142, "008890519849956036": 142, "00889612827450037": 142, "008898590691387653": 142, "00889937486499548": 142, "008910894393921": 142, "0089223384857178": 142, "008927345275879": 142, "008930024690926075": 142, "008930315263569355": 142, "0089316368103027": 142, "0089335441589355": 142, "0089337825775146": 142, "0089378356933594": 142, "008944526314735413": 142, "0089471340179443": 142, "008955478668213": 142, "0089566707611084": 142, "008956721983850002": 142, "008957012556493282": 142, "008958101272583": 142, "0089612677693367": 142, "0089664459228516": 142, "0089750289916992": 142, "00897899828851223": 142, "008980564773082733": 142, "0089848041534424": 142, "008985996246338": 142, "008994750678539276": 142, "009": 147, "009000301361084": 142, "009001892991364002": 142, "0090022087097168": 142, "009002685546875": 142, "009005291387438774": 142, "009006891399621964": 142, "009008331224322319": 142, "009009375236928463": 142, "0090150833129883": 142, "009015152230858803": 142, "0090162754058838": 142, "009016643278300762": 142, "009018721990287304": 142, "009019153192639351": 142, "009021520614624": 142, "0090279579162598": 142, "0090422630310059": 142, "009045020677149296": 142, "009045835584402084": 142, "0090477466583252": 142, "009049654006958": 142, "0090603828430176": 142, "0090620517730713": 142, "0090816020965576": 142, "0090827941894531": 142, "009086044505238533": 142, "009087463840842247": 142, "009093984961509705": 142, "009103148244321346": 142, "0091042518615723": 142, "009107368066906929": 142, "009108372963964939": 142, "0091114044189453": 142, "0091118812561035": 142, "009114247746765614": 142, "009129383601248264": 142, "009129524230957": 142, "009132626466453075": 142, "009141271933913231": 142, "0091464519500732": 142, "009149830788373947": 142, "009150085970759392": 142, "009152412414551": 142, "009154194965958595": 142, "0091545581817627": 142, "009158858098089695": 142, "009162425994873": 142, "0091629028320312": 142, "009166334755718708": 142, "009178532287478447": 142, "0091822147369385": 142, "0092038344591856": 142, "0092086791992188": 142, "009215502068400383": 142, "009217933751642704": 142, "0092179775238037": 142, "009219618514180183": 142, "009220918640494347": 142, "009224969893693924": 142, "009230640716850758": 142, "0092380046844482": 142, "0092387199401855": 142, "0092408657073975": 142, "009245757944881916": 142, "009246368892490864": 142, "0092508792877197": 142, "009252750314772129": 142, "009254351258277893": 142, "0092668533325195": 142, "0092675685882568": 142, "009269011206924915": 142, "009271311573684216": 142, "0092831552028656": 142, "009283394552767277": 142, "0092854499816895": 142, "0092861652374268": 142, "009288052096962929": 142, "0092966556549072": 142, "009298324584961": 142, "009306618012487888": 142, "0093071460723877": 142, "0093114376068115": 142, "009317397139966488": 142, "009321053512394428": 142, "00933052133768797": 142, "009334195405244827": 142, "0093348026275635": 142, "009337738156318665": 142, "009344002231955528": 142, "0093441009521484": 142, "009345115162432194": 142, "009346398524940014": 142, "0093541145324707": 142, "009355253539979458": 142, "009357486851513386": 142, "009357905946671963": 142, "0093579292297363": 142, "009361913427710533": 142, "009367878548800945": 142, "0093684196472168": 142, "00936920940876007": 142, "00937210489064455": 142, "0093727111816406": 142, "009384403936564922": 142, "009385017678141594": 142, "00938858836889267": 142, "0093913078308105": 142, "009393417276442051": 142, "009393813088536263": 142, "009396929293870926": 142, "009399115107953548": 142, "009400141425430775": 142, "0094006061553955": 142, "0094008445739746": 142, "0094022750854492": 142, "009403228759766": 142, "009404914453625679": 142, "009405235759913921": 142, "009407470002770424": 142, "009412086568772793": 142, "009425112046301365": 142, "009428226388990879": 142, "009443177841603756": 142, "009444942697882652": 142, "009445182047784328": 142, "009457110427320004": 142, "009459144435822964": 142, "0094592571258545": 142, "009460137225687504": 142, "009463380090892315": 142, "0094642639160156": 142, "009465217590332": 142, "009469348005950451": 142, "009473565965890884": 142, "009479343891143799": 142, "0094797611236572": 142, "0094799995422363": 142, "0094809532165527": 142, "009483978152275085": 142, "009488815441727638": 142, "00949015375226736": 142, "0094921588897705": 142, "009493707679212093": 142, "00949936080724001": 142, "009503046050667763": 142, "0095031261444092": 142, "009503948502242565": 142, "009504975751042366": 142, "009505309164524078": 142, "009510790929198265": 142, "0095124244689941": 142, "009515306912362576": 142, "0095186233520508": 142, "009520350024104118": 142, "0095241069793701": 142, "009524666704237461": 142, "009529560804367065": 142, "00954100675880909": 142, "0095419883728027": 142, "00954443123191595": 142, "009547504596412182": 142, "009553441777825356": 142, "009557642973959446": 142, "009560049511492252": 142, "00956006906926632": 142, "009560385718941689": 142, "009569259360432625": 142, "0095694065093994": 142, "009575366973877": 142, "009579027071595192": 142, "009580009616911411": 142, "0095820352435112": 142, "0095829963684082": 142, "0095860958099365": 142, "009588805958628654": 142, "009590309113264084": 142, "009594440460205": 142, "009594995528459549": 142, "0096015930175781": 142, "009602726437151432": 142, "00960427988320589": 142, "009606875479221344": 142, "009609125554561615": 142, "009611575864255428": 142, "009611912071704865": 142, "009613717906177044": 142, "009623730555176735": 142, "00962942186743021": 142, "009630836546421051": 142, "0096311569213867": 142, "00964149460196495": 142, "0096442699432373": 142, "009648052044212818": 142, "009648211300373077": 142, "0096492767333984": 142, "009649280458688736": 142, "0096511840820312": 142, "0096565717831254": 142, "009656823240220547": 142, "009659714996814728": 142, "009662885218858719": 142, "009663942269980907": 142, "009668044745922089": 142, "009668350219727": 142, "0096795558929443": 142, "0096869468688965": 142, "009687574580311775": 142, "009688666090369225": 142, "009690761566162": 142, "0096909999847412": 142, "009691410697996616": 142, "0096914768218994": 142, "0096931457519531": 142, "0096938610076904": 142, "00969949271529913": 142, "009703210555016994": 142, "009710612706840038": 142, "0097136497497559": 142, "0097215175628662": 142, "009725192561745644": 142, "009735495783388615": 142, "0097386837005615": 142, "009740257635712624": 142, "009751723147928715": 142, "0097692012786865": 142, "0097718238830566": 142, "0097808837890625": 142, "0097846984863281": 142, "009785902686417103": 142, "009785996749997139": 142, "009790748357772827": 142, "009791612625122": 142, "0098028182983398": 142, "009806515648961067": 142, "009808845818042755": 142, "009810558520257473": 142, "0098106861114502": 142, "009812404401600361": 142, "009815402328968048": 142, "009816673584282398": 142, "009817805141210556": 142, "009820453822612762": 142, "009832850657403469": 142, "00983627513051033": 142, "009837168268859386": 142, "0098400115966797": 142, "009843827225267887": 142, "009851183742284775": 142, "009853988885879517": 142, "00986367929726839": 142, "00987590104341507": 142, "0098788738250732": 142, "009882244281470776": 142, "00988300982862711": 142, "009884271770715714": 142, "0098886489868164": 142, "009894552640616894": 142, "009896381758153439": 142, "0098979473114014": 142, "009907140396535397": 142, "009916525334119797": 142, "0099174976348877": 142, "009920507669448853": 142, "009920799173414707": 142, "00993013381958": 142, "009934532456099987": 142, "009940083138644695": 142, "00994684174656868": 142, "009950431995093822": 142, "009954383596777916": 142, "009965181350708": 142, "0099709033966064": 142, "009977645240724087": 142, "009977717883884907": 142, "009981472045183182": 142, "009983522817492485": 142, "0099844932556152": 142, "009986351244151592": 142, "0099906921386719": 142, "009990927763283253": 142, "009996163658797741": 142, "009998577646911144": 142, "00e": 147, "00it": 134, "00m": 134, "01": [13, 17, 134, 138, 139, 142, 145, 147, 148, 149, 153, 154, 156], "010": [132, 157], "010000467300415": 142, "010004440322518349": 142, "0100059509277344": 142, "010014769621193409": 142, "010018994100391865": 142, "0100224018096924": 142, "010024749673902988": 142, "010028687305748463": 142, "010035651735961437": 142, "010040268301963806": 142, "010044813156128": 142, "010046521201729774": 142, "010047752410173416": 142, "0100486278533936": 142, "01004965603351593": 142, "0100500583648682": 142, "010058697313070297": 142, "0100607872009277": 142, "010061264038086": 142, "01006272155791521": 142, "010068736039102077": 142, "010069911368191242": 142, "01007185410708189": 142, "010072343982756138": 142, "010072460398077965": 142, "010073469951748848": 142, "010084867477417": 142, "010087490081787": 142, "01009301096200943": 142, "010095296427607536": 142, "010099777020514011": 142, "010102556087076664": 142, "0101053714752197": 142, "010107938200235367": 142, "0101120974868536": 142, "010117738507688046": 142, "010124516673386097": 142, "01012454554438591": 142, "010129794478416443": 142, "0101325511932373": 142, "010139547288417816": 142, "010144599713385105": 142, "0101451873779297": 142, "01014984305948019": 142, "010154406540095806": 142, "010155794210731983": 142, "010158002376556396": 142, "010166961699724197": 142, "0101682860404253": 142, "01017243042588234": 142, "01017796341329813": 142, "010186436586081982": 142, "0101914405822754": 142, "01019386388361454": 142, "01019527018070221": 142, "0101957321166992": 142, "01019927579909563": 142, "010213332250714302": 142, "010217174887657166": 142, "0102288722991943": 142, "0102307796478271": 142, "010231247171759605": 142, "010232925415039": 142, "010233212262392044": 142, "0102365016937256": 142, "010238647460938": 142, "010240193456411362": 142, "0102407932281494": 142, "0102436542510986": 142, "010244179517030716": 142, "010248887352645397": 142, "010249488055706024": 142, "010254431515932083": 142, "010262846946716309": 142, "0102641582489014": 142, "010268273763358593": 142, "0102746486663818": 142, "01027598325163126": 142, "0102791786193848": 142, "010279655456543": 142, "010286389850080013": 142, "010291493497788906": 142, "0103025436401367": 142, "0103089809417725": 142, "010310925543308258": 142, "01031144056469202": 142, "010313984006643295": 142, "010314377024769783": 142, "0103168487548828": 142, "010318335145711899": 142, "0103223323822021": 142, "0103347301483154": 142, "010336956940591335": 142, "0103402137756348": 142, "0103404521942139": 142, "010341954417526722": 142, "0103461742401123": 142, "010346228256821632": 142, "010347889736294746": 142, "010358618572354317": 142, "0103731155395508": 142, "010374427773058414": 142, "0103785991668701": 142, "0103919506072998": 142, "010393149219453335": 142, "010393255390226841": 142, "0103983879089355": 142, "010404855944216251": 142, "010405161418020725": 142, "0104084014892578": 142, "01041881088167429": 142, "01042152103036642": 142, "010435519739985466": 142, "010437709279358387": 142, "010441599413752556": 142, "010442741215229034": 142, "0104429721832275": 142, "0104496479034424": 142, "0104577541351318": 142, "010461133904755116": 142, "010471557267010212": 142, "010474607348442078": 142, "010478188283741474": 142, "0104808509349823": 142, "010481357574463": 142, "0104880332946777": 142, "01049485057592392": 142, "010498660616576672": 142, "010502303019165993": 142, "010503346100449562": 142, "010506991297006607": 142, "0105092525482178": 142, "010509567335247993": 142, "0105130011215806": 142, "0105140209197998": 142, "010517137125134468": 142, "0105290412902832": 142, "0105400085449219": 142, "010548325255513191": 142, "010550413280725479": 142, "0105512142181396": 142, "0105526447296143": 142, "010561591945588589": 142, "010564420372247696": 142, "010566589422523975": 142, "0105705261230469": 142, "010571200400590897": 142, "010575320571660995": 142, "0105760097503662": 142, "010579477064311504": 142, "010587923228740692": 142, "0105881690979004": 142, "010589838027954": 142, "0105938911437988": 142, "010596017353236675": 142, "01059982180595398": 142, "0106091499328613": 142, "010609174147248268": 142, "0106167793273926": 142, "0106170177459717": 142, "010622262954712": 142, "0106263160705566": 142, "0106267929077148": 142, "01063602976500988": 142, "01063631847500801": 142, "01063866913318634": 142, "010639009065926075": 142, "0106403827667236": 142, "010656175203621387": 142, "01066377479583025": 142, "010676085017621517": 142, "01068247389048338": 142, "010682624764740467": 142, "0106854438781738": 142, "010686441324651241": 142, "0106866359710693": 142, "01068789791315794": 142, "010701683349907398": 142, "010706901550293": 142, "010709349066019058": 142, "0107181072235107": 142, "010721039026975632": 142, "010723217390477657": 142, "01072484441101551": 142, "010729041881859303": 142, "01072923094034195": 142, "010729312896728516": 142, "0107324123382568": 142, "010733498260378838": 142, "010737127624452114": 142, "0107519626617432": 142, "0107543468475342": 142, "010757377371191978": 142, "010761022567749": 142, "010770393535494804": 142, "010770674794912338": 142, "010771946050226688": 142, "010774664580821991": 142, "010781876742839813": 142, "010786990635097027": 142, "010789128951728344": 142, "010793321765959263": 142, "010796473361551762": 142, "010800089687108994": 142, "010801807045936584": 142, "0108203887939453": 142, "010823545977473259": 142, "0108323097229004": 142, "01083716843277216": 142, "010840971022844315": 142, "0108487606048584": 142, "010852336883545": 142, "010859008878469467": 142, "0108602046966553": 142, "01086129155009985": 142, "0108613967895508": 142, "010867335833609104": 142, "010871527716517448": 142, "010874531231820583": 142, "0108754634857178": 142, "010876643471419811": 142, "0108814239501953": 142, "010884812101721764": 142, "0108892917633057": 142, "01089315116405487": 142, "010893314145505428": 142, "010895": 144, "0108985900878906": 142, "010901689529419": 142, "010906580835580826": 142, "0109093189239502": 142, "0109100341796875": 142, "0109140872955322": 142, "0109186172485352": 142, "010919318534433842": 142, "0109200477600098": 142, "01092222798615694": 142, "010929601266980171": 142, "0109341144561768": 142, "010944214649498463": 142, "010946966707706451": 142, "010947145521640778": 142, "010947413742542267": 142, "0109486049041152": 142, "010955371893942356": 142, "010965181514620781": 142, "0109665393829346": 142, "0109727382659912": 142, "010973013006150723": 142, "0109748840332031": 142, "010975131765007973": 142, "010975176468491554": 142, "010979671031236649": 142, "010989050380885601": 142, "010995479300618172": 142, "010998775251209736": 142, "011": [132, 147, 157], "0110015869140625": 142, "0110018253326416": 142, "011004534550011158": 142, "011005887761712074": 142, "011009931564331": 142, "0110197067260742": 142, "011020680889487267": 142, "0110213253647089": 142, "011035011149942875": 142, "011041451245546341": 142, "011045052669942379": 142, "011045491322875023": 142, "011047893203794956": 142, "011048778891563416": 142, "011052031069993973": 142, "011056661605835": 142, "011057872325181961": 142, "011059939861297607": 142, "011061434634029865": 142, "011061730794608593": 142, "011062405072152615": 142, "011063558980822563": 142, "0110771656036377": 142, "0110790729522705": 142, "0110900402069092": 142, "011091400869190693": 142, "011094039306044579": 142, "0110945338383317": 142, "011106913909316063": 142, "0111083984375": 142, "011109105311334133": 142, "011110911145806313": 142, "011114905588328838": 142, "011117999441921711": 142, "0111184120178223": 142, "0111198425292969": 142, "0111253261566162": 142, "011134720407426357": 142, "0111362934112549": 142, "0111401081085205": 142, "0111546516418457": 142, "01115466095507145": 142, "011162174865603447": 142, "011171562597155571": 142, "0111753940582275": 142, "0111780166625977": 142, "01117873378098011": 142, "0111849969252944": 142, "011189757846295834": 142, "0111980438232422": 142, "011203747242689133": 142, "011204187758266926": 142, "0112059116363525": 142, "011206269264221191": 142, "0112082958221436": 142, "011210448108613491": 142, "0112152099609375": 142, "011220564134418964": 142, "01122091431170702": 142, "011222632601857185": 142, "01122748851776123": 142, "011232635006308556": 142, "011236753314733505": 142, "01123831421136856": 142, "011239686980843544": 142, "011244973167777061": 142, "0112495422363281": 142, "011250466108322144": 142, "0112555027008057": 142, "0112781524658203": 142, "01128156203776598": 142, "0112879276275635": 142, "011289604008197784": 142, "011294692754745483": 142, "011296453885734081": 142, "011299341917037964": 142, "0113015174865723": 142, "011302757076919079": 142, "0113039016723633": 142, "0113112926483154": 142, "011313249357044697": 142, "0113201141357422": 142, "01132994331419468": 142, "01133017148822546": 142, "011345132254064083": 142, "011347442865371704": 142, "011348744854331017": 142, "011349702253937721": 142, "011357423849403858": 142, "0113601703196764": 142, "0113723278045654": 142, "01137513853609562": 142, "011375890113413334": 142, "011375904083252": 142, "011376142501831": 142, "011379454284906387": 142, "011380964890122414": 142, "011385587975382805": 142, "0113859176635742": 142, "011388326995074749": 142, "011398546397686005": 142, "0113987922668457": 142, "011399424634873867": 142, "0113999843597412": 142, "0114011000841856": 142, "011403258889913559": 142, "0114059448242188": 142, "0114123821258545": 142, "0114147663116455": 142, "011415719985962": 142, "0114185810089111": 142, "0114197731018066": 142, "011424217373132706": 142, "011425522156059742": 142, "011430740356445": 142, "0114328907802701": 142, "011434917338192463": 142, "011440720409154892": 142, "01144408155232668": 142, "011448860168457": 142, "011449615471065044": 142, "011453848332166672": 142, "011461049318313599": 142, "011469028890132904": 142, "0114772319793701": 142, "011480823159217834": 142, "01148476917296648": 142, "011487794108688831": 142, "0114903450012207": 142, "011490730568766594": 142, "0114977359771729": 142, "0114984512329102": 142, "0115032196044922": 142, "011505365371704": 142, "01151125319302082": 142, "011518983170390129": 142, "011525416746735573": 142, "011528730392456": 142, "011533260345459": 142, "011539969593286514": 142, "0115466117858887": 142, "011547517031431198": 142, "011552585288882256": 142, "01155695877969265": 142, "0115621089935303": 142, "011564857326447964": 142, "01156619843095541": 142, "011570217087864876": 142, "0115711688995361": 142, "01157979667186737": 142, "011588226072490215": 142, "0115892887115479": 142, "011602338403463364": 142, "011607072316110134": 142, "011617057956755161": 142, "011620069853961468": 142, "011622804217040539": 142, "011622809804975986": 142, "011623412370681763": 142, "0116279125213623": 142, "011640689335763454": 142, "011645793914795": 142, "011653400026261806": 142, "011654380708932877": 142, "011658133938908577": 142, "0116651058197021": 142, "011671321466565132": 142, "0116796493530273": 142, "011681150645017624": 142, "0116822719573975": 142, "0116848945617676": 142, "01168675534427166": 142, "011688647791743279": 142, "011692487634718418": 142, "0116994380950928": 142, "0117": 139, "0117008686065674": 142, "01170277874916792": 142, "011704365722835064": 142, "011706707999110222": 142, "011708544567227364": 142, "011713752523064613": 142, "0117168426513672": 142, "01172065269201994": 142, "0117206573486328": 142, "011727950535714626": 142, "0117297172546387": 142, "011737260036170483": 142, "011739473789930344": 142, "0117464065551758": 142, "0117475986480713": 142, "011749029159546": 142, "011749505996704": 142, "011750476434826851": 142, "0117518901824951": 142, "011752144433557987": 142, "011758433654904366": 142, "0117683410644531": 142, "01177406311035": 142, "0117809772491455": 142, "011781196109950542": 142, "0117831230163574": 142, "011785659939050674": 142, "011787652969360352": 142, "011792520992457867": 142, "011803388595581": 142, "0118060111999512": 142, "011808156967163": 142, "0118083953857422": 142, "011809815652668476": 142, "011815071105957": 142, "01182059571146965": 142, "011824131011963": 142, "0118244718760252": 142, "011831612326204777": 142, "0118331909179688": 142, "01183411106467247": 142, "0118343830108643": 142, "011840924620628357": 142, "011850999668240547": 142, "0118536949157715": 142, "011859336867928505": 142, "011861737817525864": 142, "011878967285156": 142, "011881448328495026": 142, "0118818283081055": 142, "011881986632943153": 142, "011887720786035061": 142, "011890172958374": 142, "011893373914062977": 142, "011900743469595909": 142, "0119149684906006": 142, "0119152069091797": 142, "011919328942894936": 142, "011920038610696793": 142, "0119211673736572": 142, "01192259881645441": 142, "01193296629935503": 142, "0119338035583496": 142, "011938878335058689": 142, "011939054355025291": 142, "011944610625505447": 142, "0119486628100276": 142, "011949803680181503": 142, "011950714513659477": 142, "011955738067627": 142, "0119662284851074": 142, "011967184022068977": 142, "011968973092734814": 142, "0119826793670654": 142, "011984158307313919": 142, "011984959244728088": 142, "011991494335234165": 142, "0119922161102295": 142, "011993169784546": 142, "012": [132, 147, 157], "012000322341919": 142, "012004109099507332": 142, "012007474899292": 142, "012011615559458733": 142, "012015108950436115": 142, "012016154825687408": 142, "012019366025924683": 142, "012030531652271748": 142, "01204525027424097": 142, "012051396071910858": 142, "012055869214236736": 142, "0120627880096436": 142, "012066841125488": 142, "012072081677615643": 142, "012072381563484669": 142, "012078239582479": 142, "012085199356079": 142, "012087345123291": 142, "0120935440063477": 142, "0121052265167236": 142, "012110710144043": 142, "012114694342017174": 142, "012115716934204": 142, "01211671344935894": 142, "012120994739234447": 142, "012122847139835358": 142, "0121371746063232": 142, "0121395587921143": 142, "01214150432497263": 142, "012150051072239876": 142, "012150202877819538": 142, "012152910232544": 142, "0121722221374512": 142, "012175224721431732": 142, "012179228477180004": 142, "01218094676733017": 142, "0121850967407227": 142, "012191514484584332": 142, "012195110321045": 142, "012195348739624": 142, "012196464464068413": 142, "012205339968204498": 142, "0122087001800537": 142, "0122125148773193": 142, "01221268530935049": 142, "01222053449600935": 142, "0122272968292236": 142, "012228867970407009": 142, "01222951803356409": 142, "012230472639203072": 142, "012236857786774635": 142, "012244576588273048": 142, "0122506618499756": 142, "0122532844543457": 142, "01225561834871769": 142, "0122568607330322": 142, "01226111315190792": 142, "012263443320989609": 142, "012264610268175602": 142, "012265841476619244": 142, "0122663974761963": 142, "012267734855413437": 142, "012271852232515812": 142, "012272698804736137": 142, "012281597591936588": 142, "012295234948396683": 142, "012305147014558315": 142, "012316775508224964": 142, "0123178958892822": 142, "0123181343078613": 142, "012326848693192005": 142, "012328863143921": 142, "0123300552368164": 142, "012333042919635773": 142, "0123391151428223": 142, "012345671653747559": 142, "01235260535031557": 142, "01235294621437788": 142, "0123555660247803": 142, "012357711791992": 142, "0123639106750488": 142, "0123672485351562": 142, "0123682022094727": 142, "012380536645650864": 142, "012380599975586": 142, "012388158589601517": 142, "012390832416713238": 142, "0123929977416992": 142, "012401120737195015": 142, "012406826019287": 142, "0124082565307617": 142, "0124094486236572": 142, "0124115943908691": 142, "012412319891154766": 142, "012416890822350979": 142, "0124175548553467": 142, "0124201774597168": 142, "01242058165371418": 142, "012420892715454": 142, "0124218463897705": 142, "012423057109117508": 142, "012426427565515041": 142, "012427409179508686": 142, "012428485788404942": 142, "012432797811925411": 142, "01243611890822649": 142, "01244023535400629": 142, "01244244072586298": 142, "012450230307877064": 142, "012462523765861988": 142, "012463842518627644": 142, "0124659538269043": 142, "0124664306640625": 142, "01246838178485632": 142, "012470046989619732": 142, "012471659108996391": 142, "012475240975618362": 142, "0124800205230713": 142, "012481865473091602": 142, "01248253509402275": 142, "012484085746109486": 142, "012486537918448448": 142, "0124871730804443": 142, "012488167732954025": 142, "0124945640563965": 142, "012495586648583412": 142, "012495742179453373": 142, "0124988555908203": 142, "012503501959145069": 142, "0125067234039307": 142, "012507438659668": 142, "0125079154968262": 142, "012509052641689777": 142, "012513572350144386": 142, "012519018724560738": 142, "0125248432159424": 142, "012526297941803932": 142, "012526699341833591": 142, "012528389692306519": 142, "01253489963710308": 142, "0125365257263184": 142, "0125391483306885": 142, "0125415325164795": 142, "012544026598334312": 142, "012545086443424225": 142, "012546089477837086": 142, "012549682520329952": 142, "01255312841385603": 142, "0125644207000732": 142, "0125751495361328": 142, "0125820636749268": 142, "0125880241394043": 142, "012597061693668365": 142, "012597490102052689": 142, "012597654014825821": 142, "0126": 139, "0126044750213623": 142, "012609222903847694": 142, "012610912322998": 142, "01261222269386053": 142, "01261233352124691": 142, "012612435035407543": 142, "012612548656761646": 142, "012630159966647625": 142, "0126309394836426": 142, "01263220515102148": 142, "012648511677980423": 142, "012650966644287": 142, "0126514434814453": 142, "012654540129005909": 142, "012656636536121368": 142, "012660407461225986": 142, "012660480104386806": 142, "012667014263570309": 142, "0126683712005615": 142, "0126736164093018": 142, "0126738548278809": 142, "01267978735268116": 142, "012689158320426941": 142, "012690523639321327": 142, "01269062701612711": 142, "0126948356628418": 142, "0126993656158447": 142, "012699554674327374": 142, "01270324271172285": 142, "012703855521976948": 142, "0127143859863281": 142, "0127153396606445": 142, "012722687795758247": 142, "012725826352834702": 142, "0127270221710205": 142, "0127310752868652": 142, "012733088806271553": 142, "012734323740005493": 142, "012735720723867416": 142, "0127463340759277": 142, "012747273780405521": 142, "012751495465636253": 142, "012763502076268196": 142, "012765435501933098": 142, "012771517969667912": 142, "01277494430542": 142, "012775572948157787": 142, "0127818584442139": 142, "012792321853339672": 142, "0128018856048584": 142, "012804574333131313": 142, "0128059387207031": 142, "0128095149993896": 142, "01281062699854374": 142, "0128130912780762": 142, "012817621231079": 142, "0128180980682373": 142, "01282597053796053": 142, "012834704481065273": 142, "012836662121117115": 142, "0128397941589355": 142, "012843250297009945": 142, "0128483772277832": 142, "012851472944021225": 142, "0128562450408936": 142, "0128636360168457": 142, "0128662586212158": 142, "012866735458374": 142, "01287146471440792": 142, "012877440080046654": 142, "012887259013950825": 142, "012889792211353779": 142, "012891198508441448": 142, "0128917694091797": 142, "0129001140594482": 142, "01290240790694952": 142, "01290680281817913": 142, "012908697128296": 142, "012912279926240444": 142, "012913433834910393": 142, "012913703918457": 142, "012920379638671875": 142, "012930667959153652": 142, "012947960756719112": 142, "0129539966583252": 142, "012959564104676247": 142, "0129599571228027": 142, "0129609107971191": 142, "0129685401916504": 142, "013": [132, 147, 157], "0130019187927246": 142, "0130035877227783": 142, "01300626527518034": 142, "0130083560943604": 142, "013008834794163704": 142, "0130102634429932": 142, "0130128860473633": 142, "013015477918088436": 142, "0130243301391602": 142, "013026459142565727": 142, "0130265261977911": 142, "013037919998169": 142, "013038158416748": 142, "0130400657653809": 142, "013043064624071121": 142, "013043978251516819": 142, "013049504719674587": 142, "013056616298854351": 142, "013059904798865318": 142, "013068199157715": 142, "0130701065063477": 142, "0130844116210938": 142, "01308717392385006": 142, "0130939483642578": 142, "013103397563099861": 142, "0131034851074219": 142, "013118360191583633": 142, "01311878114938736": 142, "013120878487825394": 142, "01312255859375": 142, "0131256580352783": 142, "013126044534146786": 142, "013126232661306858": 142, "01312787551432848": 142, "013132702559232712": 142, "013145926408469677": 142, "013146265409886837": 142, "01314786821603775": 142, "013148210011422634": 142, "0131494998931885": 142, "0131514072418213": 142, "013151534833014011": 142, "013156890869141": 142, "013159128837287426": 142, "013160444796085358": 142, "013162365183234215": 142, "0131640434265137": 142, "0131664276123047": 142, "0131680965423584": 142, "013173800893127918": 142, "0131793022155762": 142, "0131874084472656": 142, "013187902979552746": 142, "013191938400268555": 142, "013197295367717743": 142, "013199806213379": 142, "0132": [147, 149], "013209289871156216": 142, "0132133960723877": 142, "013213627971708775": 142, "01321459375321865": 142, "013220345601439476": 142, "013223244808614254": 142, "013223500922322273": 142, "0132267475128174": 142, "013232489116489887": 142, "0132331848144531": 142, "013239136897027493": 142, "013242483139038": 142, "013242753222584724": 142, "013245171867311": 142, "0132455825805664": 142, "013247640803456306": 142, "013248996809124947": 142, "013249465264379978": 142, "013251543045044": 142, "0132622718811035": 142, "0132653713226318": 142, "0132675170898438": 142, "013270106166601181": 142, "013272762298584": 142, "013273564167320728": 142, "013279872015118599": 142, "013284683227539": 142, "0132861137390137": 142, "0132863521575928": 142, "013303756713867": 142, "013317720033228397": 142, "01331784762442112": 142, "013322353363037": 142, "013331481255590916": 142, "013331651687622": 142, "013335943222046": 142, "0133378505706787": 142, "013338654302060604": 142, "0133388042449951": 142, "013339929282665253": 142, "0133552551269531": 142, "0133562088012695": 142, "013361243531107903": 142, "013371373526751995": 142, "0133724212646484": 142, "0133793354034424": 142, "01338791847229": 142, "013389740139245987": 142, "013390302658081": 142, "0133943557739258": 142, "013394908979535103": 142, "013396255671977997": 142, "01339749339967966": 142, "013401099480688572": 142, "013401200994849205": 142, "013402982614934444": 142, "0134050846099854": 142, "0134294033050537": 142, "013430118560791": 142, "013432493433356285": 142, "013433768413960934": 142, "013434053398668766": 142, "0134379863739014": 142, "013441801071167": 142, "013443478383123875": 142, "01344536617398262": 142, "0134484767913818": 142, "01345822960138321": 142, "0134620666503906": 142, "0134656429290771": 142, "0134670734405518": 142, "013471098616719246": 142, "01347406581044197": 142, "013484111987054348": 142, "0134861469268799": 142, "013487267307937145": 142, "0134894847869873": 142, "0134930610656738": 142, "013503246009349823": 142, "0135035514831543": 142, "013508206233382225": 142, "013513456098735332": 142, "013514290563762188": 142, "0135221481323242": 142, "013526980765163898": 142, "013533353805542": 142, "013533592224121": 142, "0135350227355957": 142, "01353531889617443": 142, "013566017150879": 142, "013570851646363735": 142, "0135753154754639": 142, "0135760307312012": 142, "0135807991027832": 142, "0135810375213623": 142, "01358948927372694": 142, "013589931651949883": 142, "01359269767999649": 142, "0135939121246338": 142, "01359615009278059": 142, "013604147359728813": 142, "013614351861178875": 142, "0136148929595947": 142, "013621028512716293": 142, "0136210918426514": 142, "013622951693832874": 142, "013624345883727074": 142, "0136253833770752": 142, "013626727275550365": 142, "013645761646330357": 142, "0136494636535645": 142, "0136497020721436": 142, "0136528015136719": 142, "013653242960572243": 142, "013656520284712315": 142, "01366397924721241": 142, "013668487779796124": 142, "013669610023498535": 142, "0136699676513672": 142, "0136728286743164": 142, "0136916637420654": 142, "01369389332830906": 142, "0137": 147, "013701758347451687": 142, "0137059688568115": 142, "013707014732062817": 142, "0137112140655518": 142, "013716459274292": 142, "013723308220505714": 142, "0137269496917725": 142, "0137288570404053": 142, "01373324729502201": 142, "0137345790863037": 142, "013744342140853405": 142, "013754933141171932": 142, "01375595573335886": 142, "013760115951299667": 142, "01376284845173359": 142, "0137660503387451": 142, "013771610334515572": 142, "0137720108032227": 142, "01377445925027132": 142, "013775049708783627": 142, "0137758255004883": 142, "013777208514511585": 142, "013779878616333": 142, "013780511915683746": 142, "01378993596881628": 142, "013798206113278866": 142, "013798563741147518": 142, "013811113312840462": 142, "013814523816108704": 142, "013820145279169083": 142, "0138239860534668": 142, "013824224472046": 142, "01383537519723177": 142, "013836311176419258": 142, "01383877545595169": 142, "013839200139045715": 142, "013842069543898106": 142, "0138425827026367": 142, "013846687972545624": 142, "013853698968887329": 142, "0138554573059082": 142, "013855568133294582": 142, "01386209949851036": 142, "013864517211914": 142, "013873815536499": 142, "013883352279663": 142, "013883770443499088": 142, "013888121582567692": 142, "013888578861951828": 142, "013895965181291103": 142, "0139": 139, "01390630193054676": 142, "013908863067627": 142, "013909968547523022": 142, "0139105319976807": 142, "013915777206421": 142, "013917242176830769": 142, "0139224529266357": 142, "013925141654908657": 142, "0139353275299072": 142, "01393918041139841": 142, "013944149017334": 142, "0139546394348145": 142, "0139570236206055": 142, "013959802687168121": 142, "013967514038086": 142, "013971056789159775": 142, "013984289020299911": 142, "013990879058838": 142, "0139946937561035": 142, "013997435569763184": 142, "014": 147, "014000654220581": 142, "014003453776240349": 142, "014005494304001331": 142, "014006948098540306": 142, "01401222962886095": 142, "0140180587768555": 142, "014020795002579689": 142, "0140225887298584": 142, "014029303565621376": 142, "014034918509423733": 142, "0140388011932373": 142, "014048653654754162": 142, "0140514373779297": 142, "014055800624191761": 142, "0140647878870368": 142, "0140724182128906": 142, "014077556319534779": 142, "014078140258789": 142, "014085632748901844": 142, "01409552": 133, "0140957832336426": 142, "0140981674194336": 142, "0141048431396484": 142, "014111630618572235": 142, "0141146183013916": 142, "01411594357341528": 142, "014131744392216206": 142, "01413202378898859": 142, "01413206197321415": 142, "014132755808532238": 142, "014135784469544888": 142, "014138254337012768": 142, "014139375649392605": 142, "01414155960083": 142, "014145372435450554": 142, "014155175536870956": 142, "014155660755932331": 142, "014162732288241386": 142, "0141713619232178": 142, "014172445051372051": 142, "0141727924346924": 142, "014180831611156464": 142, "014185424894094467": 142, "0142": [139, 147, 149], "01420259475708": 142, "01420690305531025": 142, "014207039959728718": 142, "014207124710083": 142, "014209645800292492": 142, "014211812987923622": 142, "014213480055332184": 142, "0142159461975098": 142, "0142180919647217": 142, "0142199993133545": 142, "0142223834991455": 142, "01422534417361021": 142, "0142483711242676": 142, "014249910600483418": 142, "014250628650188446": 142, "014252626337110996": 142, "01425948366522789": 142, "0142748355865479": 142, "014279108494520187": 142, "014284372329712": 142, "014296054840088": 142, "0142977237701416": 142, "014298553578555584": 142, "0143": [147, 149], "0143003463745117": 142, "014303164556622505": 142, "014315130189061165": 142, "014320801943540573": 142, "014325830154120922": 142, "0143308639526367": 142, "014331399463117123": 142, "014332122169435024": 142, "014344013296067715": 142, "014349544420838356": 142, "01435774751007557": 142, "014362444169819355": 142, "014363751746714115": 142, "014375315979123116": 142, "014382162131369114": 142, "0143835544586182": 142, "0143849849700928": 142, "014386694878339767": 142, "0143871307373047": 142, "014391843229532242": 142, "01439807377755642": 142, "0144031047821045": 142, "014404794201254845": 142, "014410045929253101": 142, "0144169330596924": 142, "014419288374483585": 142, "014425734989345074": 142, "0144267082214355": 142, "014427424408495426": 142, "014437198638916": 142, "0144398212432861": 142, "014443504624068737": 142, "0144455432891846": 142, "014447293244302273": 142, "0144526958465576": 142, "014468789100646973": 142, "014472909271717072": 142, "01448655128479": 142, "0144867897033691": 142, "0145001411437988": 142, "0145034790039062": 142, "014503827318549156": 142, "0145039558410645": 142, "014504222199320793": 142, "014505386352539": 142, "0145134925842285": 142, "0145354270935059": 142, "014539066702127457": 142, "0145411491394043": 142, "0145578384399414": 142, "014561414718628": 142, "014563021250069141": 142, "014566129073500633": 142, "0145673751831055": 142, "014571658335626125": 142, "014579935930669308": 142, "014580695889890194": 142, "0145843029022217": 142, "014587684534490108": 142, "0145933628082275": 142, "0145936012268066": 142, "014598607085645199": 142, "01459980383515358": 142, "0146143436431885": 142, "014622418209910393": 142, "014622449874878": 142, "01462552696466446": 142, "014632223173975945": 142, "014636061154305935": 142, "014646291732788": 142, "0146467685699463": 142, "0146520137786865": 142, "014654265716671944": 142, "014655590057373": 142, "0146594047546387": 142, "0146679878234863": 142, "0146727561950684": 142, "014678622595965862": 142, "0146851539611816": 142, "014687609858810902": 142, "014688660390675068": 142, "014690554700791836": 142, "0146939754486084": 142, "0146970748901367": 142, "014718908816576004": 142, "014721275307238102": 142, "0147275924682617": 142, "014740348793566227": 142, "0147438049316406": 142, "01474724430590868": 142, "0147502422332764": 142, "0147547721862793": 142, "014759965240955353": 142, "0147700309753418": 142, "014771758578717709": 142, "0147736072540283": 142, "01477645430713892": 142, "014778370037674904": 142, "0147814750671387": 142, "0147907733917236": 142, "014792962931096554": 142, "014797692187130451": 142, "01480190735310316": 142, "0148026943206787": 142, "014805793762207": 142, "0148074626922607": 142, "014807718805968761": 142, "014812981709837914": 142, "014817804098129272": 142, "0148181915283203": 142, "0148208141326904": 142, "014821656048297882": 142, "014822006225586": 142, "01482453104108572": 142, "0148251056671143": 142, "01482837088406086": 142, "014836311340332": 142, "01484167855232954": 142, "014845371246338": 142, "014845739118754864": 142, "014851762913167477": 142, "014856860041618347": 142, "014858264476060867": 142, "014870147220790386": 142, "014874552376568317": 142, "014878273010254": 142, "014882686547935009": 142, "014884698204696178": 142, "014892578125": 142, "014896080829203129": 142, "014903314411640167": 142, "0149099826812744": 142, "01491117477417": 142, "014913292601704597": 142, "014916632324457169": 142, "014919625595211983": 142, "014921637251973152": 142, "014923078007996082": 142, "014931999146938324": 142, "014935314655303955": 142, "0149462223052979": 142, "0149478912353516": 142, "014948043040931225": 142, "0149617195129395": 142, "014970064163208": 142, "014972123317420483": 142, "014973048120737076": 142, "014974242076277733": 142, "014994211494922638": 142, "015": [132, 147, 157], "015000453218817711": 142, "0150065422058105": 142, "0150089263916016": 142, "01501135528087616": 142, "015013217926025": 142, "015014459379017353": 142, "0150182247161865": 142, "01501884963363409": 142, "015019765123724937": 142, "015019786544144154": 142, "01502323616296053": 142, "0150253772735596": 142, "015028544701635838": 142, "015029381960630417": 142, "015029478818178177": 142, "0150303840637207": 142, "015033803880214691": 142, "0150413513183594": 142, "015043040737509727": 142, "0150434970855713": 142, "015044927597046": 142, "015055716969072819": 142, "015066385269165": 142, "015072345733642578": 142, "0150725841522217": 142, "0150730609893799": 142, "015077393501996994": 142, "0150787830352783": 142, "0150792598724365": 142, "0150821208953857": 142, "015085355378687382": 142, "015087579376995564": 142, "0150978565216064": 142, "0151": 154, "0151023864746094": 142, "0151069164276123": 142, "01511001586914": 142, "0151143074035645": 142, "015115324407815933": 142, "015126463957130909": 142, "015128379687666893": 142, "01513180322945118": 142, "0151383876800537": 142, "015141701325774193": 142, "015142637304961681": 142, "015145734883844852": 142, "015147235244512558": 142, "015147920697927475": 142, "0151493549346924": 142, "015155913308262825": 142, "0151584148406982": 142, "015163482166826725": 142, "015166249126195908": 142, "015178127214312553": 142, "015196573920547962": 142, "0151968002319336": 142, "015199050307273865": 142, "0152037143707275": 142, "015205517411231995": 142, "0152060985565186": 142, "0152103900909424": 142, "0152127742767334": 142, "015216289088129997": 142, "015217400155961514": 142, "0152268409729": 142, "015229304321110249": 142, "015230253338813782": 142, "0152308940887451": 142, "01523123774677515": 142, "0152475833892822": 142, "015248363837599754": 142, "0152511596679688": 142, "015257969498634338": 142, "015261242166161537": 142, "0152618885040283": 142, "0152628421783447": 142, "015263804234564304": 142, "015268249437212944": 142, "015277001075446606": 142, "0152788162231445": 142, "015282392501831": 142, "015295577235519886": 142, "0152976512908936": 142, "015301669016480446": 142, "0153076648712158": 142, "015312948264181614": 142, "015315079130232334": 142, "0153186321258545": 142, "0153224468231201": 142, "01532333716750145": 142, "015324600972235203": 142, "015335150994360447": 142, "0153391361236572": 142, "0153398513793945": 142, "0153400897979736": 142, "0153465270996094": 142, "0153534412384033": 142, "0153594017028809": 142, "0153744220733643": 142, "01537953969091177": 142, "0153870582580566": 142, "015392049215734005": 142, "0153982639312744": 142, "015401840209961": 142, "0154056549072266": 142, "0154073238372803": 142, "0154130458831787": 142, "0154175758361816": 142, "015426240861415863": 142, "015436681918799877": 142, "015441272407770157": 142, "015446064062416553": 142, "015446985140442848": 142, "015452176332473755": 142, "0154533386230469": 142, "0154573917388916": 142, "0154578685760498": 142, "0154580008238554": 142, "01546277105808258": 142, "01546395756304264": 142, "01547779981046915": 142, "0154790878295898": 142, "0154814720153809": 142, "0154876708984375": 142, "015493810176849365": 142, "0154972076416016": 142, "0155": [147, 149], "015508881770074368": 142, "015513797290623188": 142, "015531560406088829": 142, "0155448913574219": 142, "015547892078757286": 142, "015556232072412968": 142, "015565878711640835": 142, "0155694484710693": 142, "0155713558197021": 142, "015572749078273773": 142, "0155730247497559": 142, "0155737400054932": 142, "015574577264487743": 142, "01559256762266159": 142, "015596628189087": 142, "0156": [147, 149], "015601634979248": 142, "0156033039093018": 142, "015607578679919243": 142, "0156164169311523": 142, "015618868172168732": 142, "015625238418579": 142, "015627145767212": 142, "015631914138794": 142, "01563243381679058": 142, "0156381130218506": 142, "015638655051589012": 142, "015640703961253166": 142, "015641408041119576": 142, "015641480684280396": 142, "015649940818548203": 142, "015651201829314232": 142, "0156550407409668": 142, "0156564712524414": 142, "015656670555472374": 142, "01566562056541443": 142, "01567261479794979": 142, "0156755447387695": 142, "015681266784668": 142, "01569095067679882": 142, "015698768198490143": 142, "0156991481781006": 142, "0157015323638916": 142, "015702245756983757": 142, "015705585479736": 142, "015707677230238914": 142, "015707705169916153": 142, "015719523653388023": 142, "015740197151899338": 142, "0157406330108643": 142, "0157420635223389": 142, "01574813760817051": 142, "015755929052829742": 142, "0157577991485596": 142, "0157580375671387": 142, "0157654285430908": 142, "015765508636832237": 142, "0157785415649414": 142, "015786411240696907": 142, "0157876014709473": 142, "0157902240753174": 142, "015794500708580017": 142, "01580478437244892": 142, "01580694504082203": 142, "015808964148163795": 142, "0158112049102783": 142, "015814997255802155": 142, "015820669010281563": 142, "015838447958230972": 142, "015839826315641403": 142, "015841415151953697": 142, "015846088528633118": 142, "015846895053982735": 142, "01584932953119278": 142, "0158512592315674": 142, "0158584117889404": 142, "0158638954162598": 142, "0158653259277344": 142, "015866462141275406": 142, "015886256471276283": 142, "01590898260474205": 142, "0159130096435547": 142, "0159151554107666": 142, "015915753319859505": 142, "015918493270874": 142, "015921443700790405": 142, "015925407409668": 142, "01593060977756977": 142, "0159311294555664": 142, "015932559967041": 142, "0159366130828857": 142, "015948714688420296": 142, "0159533023834229": 142, "01596769131720066": 142, "0159716606140137": 142, "015972431749105453": 142, "015973549336194992": 142, "015974521636963": 142, "0159757137298584": 142, "015976162627339363": 142, "015979290008545": 142, "01598280295729637": 142, "015983056277036667": 142, "0159969329833984": 142, "015998566523194313": 142, "016": 147, "0160": 139, "016000142320990562": 142, "0160017013549805": 142, "016004573553800583": 142, "0160085316747427": 142, "016032114624977112": 142, "016035454347729683": 142, "0160515308380127": 142, "0160574913024902": 142, "016069933772087097": 142, "016080087050795555": 142, "0160884857177734": 142, "016092300415039": 142, "016094792634248734": 142, "0160984992980957": 142, "0161": 139, "0161008834838867": 142, "01610105112195015": 142, "0161035060882568": 142, "016108743846416473": 142, "016112709417939186": 142, "016113432124257088": 142, "016114478930830956": 142, "016115225851535797": 142, "016116272658109665": 142, "0161263607442379": 142, "01612755097448826": 142, "0161280632019043": 142, "01613187789917": 142, "016134262084961": 142, "016146376729011536": 142, "016147878021001816": 142, "0161497592926025": 142, "0161559581756592": 142, "0161569118499756": 142, "016159048303961754": 142, "01616423763334751": 142, "016168808564543724": 142, "016169710084795952": 142, "0161807537078857": 142, "016183892264962196": 142, "0161936283111572": 142, "01619735360145569": 142, "01620245911180973": 142, "016219615936279": 142, "0162196159362793": 142, "016226569190621376": 142, "0162343978881836": 142, "01623595505952835": 142, "016236167401075363": 142, "016242071986198425": 142, "01624550297856331": 142, "016252128407359123": 142, "016253696754574776": 142, "0162553787231445": 142, "0162580013275146": 142, "0162599086761475": 142, "01625995896756649": 142, "0162651538848877": 142, "01626829244196415": 142, "016270399093628": 142, "0162804126739502": 142, "016281483694911003": 142, "016287606209516525": 142, "0162887573242188": 142, "016296755522489548": 142, "0163018703460693": 142, "016309767961502075": 142, "016329994425177574": 142, "016330067068338394": 142, "01633342169225216": 142, "016334932297468185": 142, "016336441040039": 142, "016339339315891266": 142, "0163424015045166": 142, "01634669117629528": 142, "016365978866815567": 142, "016381995752453804": 142, "0163822174072266": 142, "016387939453125": 142, "0163915157318115": 142, "0163936614990234": 142, "0163941383361816": 142, "016397982835769653": 142, "0164": 139, "016406303271651268": 142, "016408901661634445": 142, "016410229727625847": 142, "0164126418530941": 142, "0164158344268799": 142, "016425609588623": 142, "01642700843513012": 142, "0164294242858887": 142, "016433706507086754": 142, "0164344310760498": 142, "016436312347650528": 142, "0164430141448975": 142, "0164668560028076": 142, "0164744853973389": 142, "0164810698479414": 142, "016488442197442055": 142, "0164895057678223": 142, "01649167202413082": 142, "016506126150488853": 142, "0165181159973145": 142, "016529597342014313": 142, "0165308378636837": 142, "016550427302718163": 142, "016554832458496": 142, "0165808200836182": 142, "0165889263153076": 142, "01659356616437435": 142, "0165960788726807": 142, "016604423522949": 142, "01660659722983837": 142, "016609173268079758": 142, "016612935811281204": 142, "01661423034965992": 142, "016614452004432678": 142, "016626905649900436": 142, "0166287422180176": 142, "016629934310913": 142, "01664400100708": 142, "016652079299092293": 142, "0166566371917725": 142, "016657738015055656": 142, "01665804535150528": 142, "016668228432536125": 142, "01667204312980175": 142, "01667717844247818": 142, "016679177060723305": 142, "016685711219906807": 142, "016688585281372": 142, "016689462587237358": 142, "016690731048584": 142, "0166990756988525": 142, "0167": 139, "0167031288146973": 142, "0167076587677002": 142, "016711747273802757": 142, "016712136566638947": 142, "01671600341797": 142, "016735084354877472": 142, "01673916168510914": 142, "0167450904846191": 142, "0167453289031982": 142, "016746520996094": 142, "01674865372478962": 142, "016758279874920845": 142, "0167603492736816": 142, "016761116683483124": 142, "01676344871521": 142, "0167691707611084": 142, "016778402030467987": 142, "016779899597168": 142, "016789160668849945": 142, "0167946815490723": 142, "016800880432129": 142, "016810894012451": 142, "0168108940124512": 142, "016814028844237328": 142, "0168187618255615": 142, "0168190002441406": 142, "016821671277284622": 142, "016827311366796494": 142, "0168282985687256": 142, "01683836802840233": 142, "016838438808918": 142, "016842622309923172": 142, "016846977174282074": 142, "0168507099151611": 142, "016857147216797": 142, "0168616771697998": 142, "016865435987710953": 142, "016876220703125": 142, "016879400238394737": 142, "016881711781024933": 142, "016890048980713": 142, "01689145714044571": 142, "016891658306121826": 142, "016892215237021446": 142, "016904205083847046": 142, "016907457262277603": 142, "0169289112091064": 142, "016939401626587": 142, "016942311078310013": 142, "0169496536254883": 142, "0169520378112793": 142, "0169556140899658": 142, "0169579982757568": 142, "01695907488465309": 142, "01696017198264599": 142, "0169672928750515": 142, "01696913316845894": 142, "016972064971924": 142, "016979455947876": 142, "016983604058623314": 142, "0169837474822998": 142, "016991017386317253": 142, "01699419505894184": 142, "016995906829834": 142, "017": [132, 157], "017010187730193138": 142, "01701751910150051": 142, "017018094658851624": 142, "01701861061155796": 142, "01704740524292": 142, "017055122181773186": 142, "0170559883117676": 142, "017068862915039": 142, "0170693397521973": 142, "0170705318450928": 142, "0170788764953613": 142, "01708902418613434": 142, "017095115035772324": 142, "0170955657958984": 142, "017099380493164": 142, "0171003341674805": 142, "017106767743825912": 142, "0171079635620117": 142, "0171113014221191": 142, "017117410898208618": 142, "017120361328125": 142, "017124891281128": 142, "01712556555867195": 142, "0171356201171875": 142, "0171358585357666": 142, "017140820622444153": 142, "017148317769169807": 142, "017152024433016777": 142, "017152870073914528": 142, "0171618461608887": 142, "0171687602996826": 142, "0171716213226318": 142, "01717367023229599": 142, "017190255224704742": 142, "017198085784912": 142, "017198702320456505": 142, "017199993133545": 142, "01720060221850872": 142, "0172016620635986": 142, "017207145690918": 142, "0172107219696045": 142, "0172126293182373": 142, "0172255039215088": 142, "0172419548034668": 142, "017242208123207092": 142, "0172479152679443": 142, "0172491073608398": 142, "01725807599723339": 142, "017268180847168": 142, "017269562929868698": 142, "01727822795510292": 142, "017282485961914": 142, "017283419147133827": 142, "0172865390777588": 142, "017289021983742714": 142, "0172922611236572": 142, "0172927379608154": 142, "0173": 139, "017311953008174896": 142, "01733030565083027": 142, "01733514294028282": 142, "01734115369617939": 142, "0173430442810059": 142, "017368903383612633": 142, "01737310364842415": 142, "017374515533447266": 142, "0173773765563965": 142, "0173919200897217": 142, "017393535003066063": 142, "017404317855835": 142, "017409324645996": 142, "0174143314361572": 142, "0174179077148438": 142, "0174250602722168": 142, "0174384117126465": 142, "017438767477869987": 142, "017451999709010124": 142, "017454059794545174": 142, "0174551010131836": 142, "01746244914829731": 142, "017481803894043": 142, "0174891948699951": 142, "0174977108836174": 142, "017508678138256073": 142, "0175096988677979": 142, "0175104141235352": 142, "0175178050994873": 142, "017519474029541": 142, "017526626586914": 142, "0175304412841797": 142, "017531007528305054": 142, "01753322221338749": 142, "017552137374878": 142, "017553407698869705": 142, "017560798674821854": 142, "01756792701780796": 142, "017569340765476227": 142, "0175819396972656": 142, "0175881385803223": 142, "01759927161037922": 142, "017599966377019882": 142, "0176022052764893": 142, "0176048278808594": 142, "017605045810341835": 142, "0176057815551758": 142, "017606258392334": 142, "017610972747206688": 142, "017611872404813766": 142, "0176219940185547": 142, "01762552000582218": 142, "017655011266469955": 142, "017657019197940826": 142, "0176591873168945": 142, "01766037940979": 142, "0176613330841064": 142, "017663534730672836": 142, "017674207687378": 142, "017679214477539": 142, "017691398039460182": 142, "01769418455660343": 142, "0176968574523926": 142, "0176999531686306": 142, "0177155788987875": 142, "017721552401781082": 142, "017723560333252": 142, "017726182937622": 142, "0177316665649414": 142, "0177416801452637": 142, "0177536010742188": 142, "0177557468414307": 142, "017757179215550423": 142, "01776752807199955": 142, "0177679061889648": 142, "0177690982818604": 142, "017790434882044792": 142, "01779148355126381": 142, "0177977085113525": 142, "0178005695343018": 142, "0178027153015137": 142, "017808437347412": 142, "017810344696045": 142, "0178165435791016": 142, "017848333343863487": 142, "0178494453430176": 142, "0178565979003906": 142, "01786004565656185": 142, "017860412597656": 142, "017861275002360344": 142, "0178632736206055": 142, "017863454297184944": 142, "017864849418401718": 142, "0178732872009277": 142, "01787927933037281": 142, "017879484221339226": 142, "0178802013397217": 142, "01789279840886593": 142, "0178942680358887": 142, "01789538562297821": 142, "017896737903356552": 142, "0179": 139, "017906783148646355": 142, "017909049987793": 142, "017910709604620934": 142, "017926225438714027": 142, "017927885055542": 142, "0179388523101807": 142, "0179443359375": 142, "017948627471924": 142, "017952749505639076": 142, "017953872680664": 142, "017963409423828": 142, "01796446181833744": 142, "017965886741876602": 142, "017968852072954178": 142, "0179691314697266": 142, "017984675243496895": 142, "01798778958618641": 142, "017991065979004": 142, "017991837114095688": 142, "0179946422576904": 142, "018": 147, "0180034637451172": 142, "0180160999298096": 142, "01801815629005432": 142, "01802615448832512": 142, "01803969405591488": 142, "0180399417877197": 142, "018066396936774254": 142, "0180680751800537": 142, "01807086355984211": 142, "0180721282958984": 142, "018076805397868156": 142, "01808326691389084": 142, "018089294433594": 142, "018099069595337": 142, "018119746819138527": 142, "01812196522951126": 142, "018130796030163765": 142, "0181336402893066": 142, "0181348323822021": 142, "018136739730835": 142, "0181408803910017": 142, "018142350018024445": 142, "01814866065979": 142, "0181553363800049": 142, "01815590262413025": 142, "018159624189138412": 142, "0181620121002197": 142, "01816886104643345": 142, "0181818008422852": 142, "0181846618652344": 142, "0181894302368164": 142, "0181972980499268": 142, "01820262521505356": 142, "01821221597492695": 142, "0182173252105713": 142, "0182204246520996": 142, "0182292461395264": 142, "018240213394165": 142, "01824590191245079": 142, "018268585205078": 142, "0182714462280273": 142, "018284974619746208": 142, "018286943435669": 142, "0182926654815674": 142, "018298383802175522": 142, "0183014869689941": 142, "018303852528333664": 142, "01831388659775257": 142, "0183259230107069": 142, "018331270664930344": 142, "018334150314331": 142, "01833624392747879": 142, "018338512629270554": 142, "018338680267334": 142, "018346847966313362": 142, "0183496475219727": 142, "0183508396148682": 142, "018357595428824425": 142, "018360381945967674": 142, "018361574038863182": 142, "0183629989624023": 142, "0183756351470947": 142, "0183956623077393": 142, "018399953842163": 142, "01842278242111206": 142, "0184288024902344": 142, "0184459686279297": 142, "018467903137207": 142, "01847505569458": 142, "018479585647583": 142, "01848641224205494": 142, "0184991359710693": 142, "0185041427612305": 142, "018507665023207664": 142, "0185210704803467": 142, "018526175990700722": 142, "0185294151306152": 142, "018546558916568756": 142, "018549919128418": 142, "0185504499822855": 142, "018560798838734627": 142, "01856212690472603": 142, "0185887813568115": 142, "018598034977912903": 142, "0186": 139, "0186021327972412": 142, "018613532185554504": 142, "018613576889038": 142, "01862298883497715": 142, "018630746752023697": 142, "01863132044672966": 142, "018645839765667915": 142, "0186526775360107": 142, "0186529159545898": 142, "018656061962246895": 142, "018662929534912": 142, "0186710357666016": 142, "0186738967895508": 142, "018678871914744377": 142, "0186810493469238": 142, "018690235912799835": 142, "0186915397644043": 142, "01869518682360649": 142, "0186972618103027": 142, "0187079906463623": 142, "0187089443206787": 142, "0187098979949951": 142, "0187115669250488": 142, "01871355064213276": 142, "018722470849752426": 142, "01872989349067211": 142, "0187320709228516": 142, "018737554550171": 142, "0187387466430664": 142, "0187408924102783": 142, "018745318055152893": 142, "018750885501503944": 142, "01875825598835945": 142, "018772901967167854": 142, "018791306763887405": 142, "0188148021697998": 142, "018815517425537": 142, "01881558820605278": 142, "018821716308594": 142, "018822193145752": 142, "0188241004943848": 142, "0188302993774414": 142, "018842685967683792": 142, "01884426176548004": 142, "018845558166504": 142, "018848227337002754": 142, "0188496112823486": 142, "018855925649404526": 142, "0188677310943604": 142, "018868325278162956": 142, "018869547173380852": 142, "018871242180466652": 142, "018885612487793": 142, "018892325460910797": 142, "0189085006713867": 142, "018911838531494": 142, "0189125537872314": 142, "0189194679260254": 142, "018921099603176117": 142, "018922118470072746": 142, "0189306735992432": 142, "018936658278107643": 142, "018944263458252": 142, "0189564228057861": 142, "0189769268035889": 142, "018985627219080925": 142, "019010305404663": 142, "019018173217773": 142, "019022056832909584": 142, "019036518409848213": 142, "019046330824494362": 142, "0190503597259521": 142, "01906025968492031": 142, "01906895451247692": 142, "01906978338956833": 142, "0190813541412354": 142, "0190913677215576": 142, "0191": 139, "0191011428833008": 142, "0191030502319336": 142, "019106149673462": 142, "019115686416626": 142, "019132375717163": 142, "0191402435302734": 142, "01916404999792576": 142, "01916734129190445": 142, "019167844206094742": 142, "019178867340088": 142, "0191824436187744": 142, "01918386109173298": 142, "0191855430603027": 142, "019188934937119484": 142, "0191972255706787": 142, "019199639558792114": 142, "019200453534722328": 142, "01920262910425663": 142, "019213676452637": 142, "0192174911499023": 142, "019223811104893684": 142, "019247377291321754": 142, "0192551612854004": 142, "01926128752529621": 142, "0192646980285645": 142, "01927557960152626": 142, "01927562803030014": 142, "019278526306152": 142, "0192844867706299": 142, "0192856788635254": 142, "019286200404167175": 142, "019291877746582": 142, "019294023513794": 142, "0193": 139, "0193006992340088": 142, "019307509064674377": 142, "01931149698793888": 142, "019317388534546": 142, "0193219184875488": 142, "019332310184836388": 142, "0193352699279785": 142, "019339071586728096": 142, "019350290298462": 142, "019358813762664795": 142, "019359827041626": 142, "019375110045075417": 142, "019397011026740074": 142, "01939813606441021": 142, "01940416730940342": 142, "019413948059082": 142, "019425630569458": 142, "0194292068481445": 142, "01943609118461609": 142, "019443055614829063": 142, "0194435119628906": 142, "0194485187530518": 142, "01945582777261734": 142, "0194780826568604": 142, "0194852352142334": 142, "019488688558340073": 142, "019492782652378082": 142, "019501453265547752": 142, "0195097923278809": 142, "019519567489624": 142, "019538940861821175": 142, "0195417404174805": 142, "0195424556732178": 142, "0195581912994385": 142, "019559621810913": 142, "01956753246486187": 142, "019580602645874": 142, "0195870399475098": 142, "01960017718374729": 142, "019600776955485344": 142, "019600819796323776": 142, "0196070671081543": 142, "019643176347017288": 142, "0196444988250732": 142, "0196483135223389": 142, "01967223361134529": 142, "019678952172398567": 142, "019681567326188087": 142, "0197021961212158": 142, "0197231769561768": 142, "019749641418457": 142, "01975158415734768": 142, "019752757623791695": 142, "0197539329528809": 142, "019756333902478218": 142, "019756508991122246": 142, "01976018212735653": 142, "019768083468079567": 142, "0197744369506836": 142, "0197863578796387": 142, "019790418446063995": 142, "0197997093200684": 142, "0198006629943848": 142, "0198071002960205": 142, "0198109149932861": 142, "019814549013972282": 142, "019822359085083": 142, "0198321342468262": 142, "01983642578125": 142, "019851684570312": 142, "0198535919189453": 142, "019857883453369": 142, "019869334995746613": 142, "019876280799508095": 142, "019877765327692032": 142, "0198822021484375": 142, "0198822058737278": 142, "019883632659912": 142, "0198843479156494": 142, "01989850029349327": 142, "0199244022369385": 142, "01992444507777691": 142, "019925832748413": 142, "0199275016784668": 142, "0199341773986816": 142, "0199391841888428": 142, "019941797479987144": 142, "019948376342654228": 142, "019960880279541": 142, "01998748816549778": 142, "01c879067a05b4288055a1fdf821e068": 129, "01e": 147, "01it": [134, 147, 153], "01m": 134, "02": [51, 52, 101, 103, 134, 139, 142, 147, 148, 149, 153, 154], "020": [134, 147], "0200200080871582": 142, "020025836303830147": 142, "0200467109680176": 142, "020068645477295": 142, "020073413848877": 142, "02007872983813286": 142, "020087718963623": 142, "02009584754705429": 142, "0200974941253662": 142, "02010154724121": 142, "0201058387756348": 142, "0201122760772705": 142, "0201144218444824": 142, "020117998123169": 142, "0201196670532227": 142, "020121600478887558": 142, "02012443356215954": 142, "020126640796661377": 142, "0201334953308105": 142, "020140277221798897": 142, "020147627219557762": 142, "0201489869505167": 142, "020153461024165154": 142, "0201566219329834": 142, "020167350769043": 142, "0201685428619385": 142, "02018047124147415": 142, "020180784165859222": 142, "020182719454169273": 142, "020183244720101357": 142, "0201952457427979": 142, "020200716331601143": 142, "0202057361602783": 142, "020209550857544": 142, "020209789276123": 142, "020214464515447617": 142, "02021670527756214": 142, "02021881192922592": 142, "020263340324163437": 142, "0202703475952148": 142, "0202832221984863": 142, "02029537968337536": 142, "020309140905737877": 142, "0203173160552979": 142, "020322630181908607": 142, "020335255190730095": 142, "02034112997353077": 142, "020341157913208": 142, "020342200994491577": 142, "020344888791441917": 142, "020351571962237358": 142, "0203540325164795": 142, "0203626155853271": 142, "0203635692596436": 142, "0203721523284912": 142, "020377803593873978": 142, "02038637362420559": 142, "0203876495361328": 142, "0203895568847656": 142, "0203900337219238": 142, "0203971862792969": 142, "02039928361773491": 142, "020400673151016235": 142, "0204010009765625": 142, "020404087379574776": 142, "02040538191795349": 142, "0204131603240967": 142, "0204203128814697": 142, "0204205513000488": 142, "020438184961676598": 142, "02044094353914261": 142, "020447367802262306": 142, "020475387573242": 142, "0204781387001276": 142, "02048167772591114": 142, "0204846858978271": 142, "02048731967806816": 142, "0204885005950928": 142, "02049921452999115": 142, "0205304622650146": 142, "020533300936222076": 142, "0205364227294922": 142, "020538330078125": 142, "0205419063568115": 142, "0205497741699219": 142, "02056155912578106": 142, "0205698125064373": 142, "020574698224663734": 142, "0205810070037842": 142, "02059006690979": 142, "02059275098145008": 142, "020600374788045883": 142, "020605433732271194": 142, "0206124782562256": 142, "0206165313720703": 142, "0206246376037598": 142, "02062489278614521": 142, "020646721124649048": 142, "0206563472747803": 142, "0206668376922607": 142, "0206670761108398": 142, "02067175880074501": 142, "020675363019108772": 142, "020677562803030014": 142, "020693063735962": 142, "020704522728919983": 142, "0207185745239258": 142, "0207195281982422": 142, "0207242965698242": 142, "02073155716061592": 142, "020731791853904724": 142, "0207364559173584": 142, "0207569599151611": 142, "0207626819610596": 142, "020770562812685966": 142, "02077258937060833": 142, "02077704295516014": 142, "02077813632786274": 142, "020787712186574936": 142, "020789621397852898": 142, "020795688033103943": 142, "020800061523914337": 142, "0208022594451904": 142, "0208032131195068": 142, "0208070278167725": 142, "020810408517718315": 142, "020824654027819633": 142, "0208275318145752": 142, "020829997956752777": 142, "0208394527435303": 142, "0208542346954346": 142, "020861579105257988": 142, "02087557315826416": 142, "020891105756163597": 142, "0208954811096191": 142, "020915562286973": 142, "0209157466888428": 142, "0209226608276367": 142, "020930290222168": 142, "020938921719789505": 142, "0209431648254395": 142, "020946338772773743": 142, "0209617614746094": 142, "020962098613381386": 142, "0209643840789795": 142, "0209650993347168": 142, "0209684371948242": 142, "02097305841743946": 142, "02097749710083": 142, "0209777355194092": 142, "0209813117980957": 142, "0209860801696777": 142, "020998477935791": 142, "021": 147, "021018981933594": 142, "0210230350494385": 142, "021035317331552505": 142, "021040916442871": 142, "021041493862867355": 142, "0210421085357666": 142, "0210533142089844": 142, "021059706807136536": 142, "0210652351379395": 142, "02107223868370056": 142, "02107398584485054": 142, "02109343931078911": 142, "02109621837735176": 142, "021096620708703995": 142, "0211": 139, "021110253408551216": 142, "0211200714111328": 142, "02112600766122341": 142, "021127212792634964": 142, "0211279392242432": 142, "02114486694336": 142, "021152231842279434": 142, "02115821838379": 142, "0211737155914307": 142, "0211808681488037": 142, "02118675783276558": 142, "0212018489837646": 142, "02120332233607769": 142, "0212135314941406": 142, "021216630935669": 142, "0212182998657227": 142, "0212209224700928": 142, "0212268829345703": 142, "0212275981903076": 142, "021227601915597916": 142, "021237151697278023": 142, "02123984508216381": 142, "0212414264678955": 142, "021252280101180077": 142, "0212624073028564": 142, "021273717284202576": 142, "0212767124176025": 142, "021278629079461098": 142, "021282298490405083": 142, "02128267288208": 142, "0212976932525635": 142, "021299174055457115": 142, "021300245076417923": 142, "0213038921356201": 142, "02131075970828533": 142, "02131166122853756": 142, "02132188156247139": 142, "021337611600756645": 142, "021338701248169": 142, "02133876644074917": 142, "02134481817483902": 142, "0213510990142822": 142, "0213570594787598": 142, "0213580131530762": 142, "0213589668273926": 142, "0213615894317627": 142, "021367982029914856": 142, "021371841430664": 142, "021374234929680824": 142, "021379010751843452": 142, "021380243822932243": 142, "021393060684204": 142, "0214049816131592": 142, "0214054584503174": 142, "0214152336120605": 142, "0214273929595947": 142, "02143669128418": 142, "021441545337438583": 142, "021443847566843033": 142, "021454811096191": 142, "02146788127720356": 142, "021468719467520714": 142, "0214715003967285": 142, "0214951038360596": 142, "02150079607963562": 142, "021505773067474365": 142, "0215070247650146": 142, "0215115547180176": 142, "02151615545153618": 142, "0215425491333008": 142, "0215482711791992": 142, "0215628147125244": 142, "021585732698440552": 142, "021588554605841637": 142, "0215895175933838": 142, "0215928554534912": 142, "0216": 139, "021604977548122406": 142, "0216100215911865": 142, "021617889404297": 142, "021632194519043": 142, "0216329097747803": 142, "021637331694364548": 142, "02164030261337757": 142, "02164478227496147": 142, "0216460227966309": 142, "02164788357913494": 142, "0216610431671143": 142, "021667588502168655": 142, "021668691188097": 142, "0216739177703857": 142, "021688777953386307": 142, "0216920375823975": 142, "0216960906982422": 142, "021697998046875": 142, "02171255089342594": 142, "0217163562774658": 142, "021719394251704216": 142, "021721167489886284": 142, "0217320919036865": 142, "021737338975071907": 142, "0217387676239014": 142, "021739626303315163": 142, "02175082080066204": 142, "021752377972006798": 142, "0217549800872803": 142, "02175738289952278": 142, "021757425740361214": 142, "021760731935501e": 142, "0217747688293457": 142, "0217835903167725": 142, "02179274521768093": 142, "021794319152832": 142, "02179686911404133": 142, "0218": 147, "0218055248260498": 142, "021808084100484848": 142, "0218177679926157": 142, "0218229293823242": 142, "021825995296239853": 142, "021833928301930428": 142, "02183595485985279": 142, "0218415260314941": 142, "02184986136853695": 142, "021864414215088": 142, "0218706130981445": 142, "021877046674489975": 142, "0218e": 147, "021906321868300438": 142, "0219082832336426": 142, "021914999932050705": 142, "0219194889068604": 142, "021940451115369797": 142, "021950997412204742": 142, "021958326920866966": 142, "021964797750115395": 142, "0219790935516357": 142, "02198122814297676": 142, "0219855308532715": 142, "0219902992248535": 142, "021990450099110603": 142, "022": [134, 147], "022002579644322395": 142, "022003412246704": 142, "022010939195752144": 142, "0220184326171875": 142, "0220258235931396": 142, "0220353603363037": 142, "0220394134521484": 142, "0220527648925781": 142, "022063450887799263": 142, "0220658779144287": 142, "0220990180969238": 142, "0221002101898193": 142, "022104812785983086": 142, "0221188068389893": 142, "02214333601295948": 142, "0221483707427979": 142, "0221725944429636": 142, "02217436395585537": 142, "022177722305059433": 142, "02218969352543354": 142, "02218998409807682": 142, "0221946239471436": 142, "022202730178833": 142, "022220611572266": 142, "0222234725952148": 142, "0222294330596924": 142, "02223801612854": 142, "0222406387329102": 142, "0222551822662354": 142, "0222625732421875": 142, "0222692489624023": 142, "0222752094268799": 142, "022277923300862312": 142, "022284746170044": 142, "02229642868042": 142, "02229803241789341": 142, "02232477441430092": 142, "022329568862915": 142, "022333670407533646": 142, "0223402976989746": 142, "0223407745361328": 142, "022341251373291": 142, "0223474502563477": 142, "0223684310913086": 142, "0223767757415771": 142, "02238244004547596": 142, "022384202107787132": 142, "0223863124847412": 142, "0223889350891113": 142, "0223915576934814": 142, "022404439747333527": 142, "0224096775054932": 142, "0224113464355469": 142, "0224275588989258": 142, "022428512573242": 142, "02242899127304554": 142, "022435761988162994": 142, "02245800755918026": 142, "02245979942381382": 142, "022483088076114655": 142, "022493600845337": 142, "02249559760093689": 142, "0225": 139, "022509554401040077": 142, "0225176811218262": 142, "022518157958984": 142, "0225181579589844": 142, "022522659972310066": 142, "0225281715393066": 142, "0225355625152588": 142, "0225372314453125": 142, "0225412845611572": 142, "0225434303283691": 142, "0225491523742676": 142, "0225551128387451": 142, "02255561389029026": 142, "0225632190704346": 142, "0225894451141357": 142, "02260027825832367": 142, "022606873884797096": 142, "022608995437622": 142, "022611524909734726": 142, "0226430892944336": 142, "02264697104692459": 142, "022658348083496": 142, "02266075275838375": 142, "022682350128889084": 142, "0226848125457764": 142, "022685082629323006": 142, "0226869583129883": 142, "0226945877075195": 142, "02270117960870266": 142, "022702278569340706": 142, "022708816453814507": 142, "0227127075195312": 142, "022717025130987167": 142, "022720336914062": 142, "022727536037564278": 142, "022752046585083": 142, "022756531834602356": 142, "0227651596069336": 142, "022771446034312248": 142, "0227792263031006": 142, "022783678025007248": 142, "022788040339946747": 142, "0227947235107422": 142, "0227973461151123": 142, "022805271670222282": 142, "022809982299805": 142, "0228116512298584": 142, "02281705103814602": 142, "022820092737674713": 142, "0228338241577148": 142, "0228431224822998": 142, "0228497982025146": 142, "022855281829834": 142, "022855520248413": 142, "0228698253631592": 142, "0228841304779053": 142, "022895336151123": 142, "022896599024534225": 142, "0229017734527588": 142, "0229148864746094": 142, "0229432582855225": 142, "0229480266571045": 142, "0229594707489014": 142, "022961869835853577": 142, "0229679923504591": 142, "022972583770752": 142, "022977590560913": 142, "022979147732257843": 142, "022984504699707": 142, "0229883193969727": 142, "0229973793029785": 142, "023": [139, 147], "023013092577457428": 142, "023016462102532387": 142, "0230209827423096": 142, "0230417251586914": 142, "02305006980896": 142, "02305944636464119": 142, "023073334246873856": 142, "02308293990790844": 142, "02308988571167": 142, "023097038269043": 142, "02310173772275448": 142, "0231025218963623": 142, "023110689595341682": 142, "023113971576094627": 142, "02311846986413002": 142, "0231201648712158": 142, "0231304168701172": 142, "023135999217629433": 142, "023148536682129": 142, "023148763924837112": 142, "0231499671936035": 142, "0231614112854004": 142, "0231647491455078": 142, "0231709480285645": 142, "0231783390045166": 142, "0232059955596924": 142, "023221731185913": 142, "02322216145694256": 142, "0232329368591309": 142, "0232555866241455": 142, "0232632160186768": 142, "0232667922973633": 142, "0232698917388916": 142, "023279542103409767": 142, "023283498361706734": 142, "0233097076416": 142, "0233097076416016": 142, "023313045501709": 142, "0233361721038818": 142, "0233523845672607": 142, "0233685970306396": 142, "02336897887289524": 142, "023376449942588806": 142, "0233781337738037": 142, "023378849029541": 142, "02338406629860401": 142, "023389039561152458": 142, "0234315395355225": 142, "0234324932098389": 142, "0234501361846924": 142, "0234506130218506": 142, "023454189300537": 142, "023458771407604218": 142, "023462476208806038": 142, "0234675407409668": 142, "023470163345337": 142, "0234849452972412": 142, "0234899520874023": 142, "023489974439144135": 142, "0234956741333008": 142, "0234978199005127": 142, "02350289188325405": 142, "023505762219429016": 142, "023510456085205": 142, "023523330688477": 142, "023524418473243713": 142, "0235533714294434": 142, "0235626697540283": 142, "0235650539398193": 142, "0235669612884521": 142, "0235674381256104": 142, "023569826036691666": 142, "0235731601715088": 142, "0235776901245117": 142, "0235812664031982": 142, "0235843658447266": 142, "0236": 147, "0236029624938965": 142, "023606777191162": 142, "023609161376953": 142, "023628491908311844": 142, "023639457300305367": 142, "023641586303711": 142, "023653507232666": 142, "0236730575561523": 142, "023678386583924294": 142, "023687496781349182": 142, "0237257480621338": 142, "023728057742118835": 142, "023735761642456": 142, "02373749203979969": 142, "0237460136413574": 142, "0237503051757812": 142, "023766040802002": 142, "02376662939786911": 142, "023770809173584": 142, "0237789154052734": 142, "023794498294591904": 142, "023808345198631287": 142, "02380962111055851": 142, "023810625076294": 142, "023833075538277626": 142, "023838996887207": 142, "023840593174099922": 142, "0238523483276367": 142, "02385365217924118": 142, "0238544940948486": 142, "023855209350586": 142, "023866891860962": 142, "023876428604126": 142, "02388596534729": 142, "0238933563232422": 142, "0239012241363525": 142, "02390339784324169": 142, "023914098739624": 142, "02393341064453": 142, "02394775114953518": 142, "02396038919687271": 142, "0239753723144531": 142, "0239770412445068": 142, "0239832401275635": 142, "0239882469177246": 142, "023996734991669655": 142, "024": 147, "024004938080906868": 142, "024013811722397804": 142, "0240159034729004": 142, "0240387916564941": 142, "02404308319091797": 142, "024068862199783325": 142, "0240871906280518": 142, "024100517854094505": 142, "024100739508867264": 142, "024108605459332466": 142, "02410888671875": 142, "0241096019744873": 142, "02411656267940998": 142, "024117296561598778": 142, "0241262912750244": 142, "0241360664367676": 142, "024147512391209602": 142, "0241484642028809": 142, "0241568088531494": 142, "02416008524596691": 142, "0241661071777344": 142, "024171646684408188": 142, "024185657501221": 142, "0241899490356445": 142, "024193447083234787": 142, "0241994857788086": 142, "0242": [147, 149], "024238109588623": 142, "0242674350738525": 142, "0242784023284912": 142, "0242834091186523": 142, "024301104247570038": 142, "024301528930664": 142, "02430185303092003": 142, "02431297302246": 142, "024327278137207": 142, "024332955479621887": 142, "024341106414795": 142, "02434297278523445": 142, "0243451595306396": 142, "024346426129341125": 142, "02435680478811264": 142, "024359753355383873": 142, "0243632793426514": 142, "0243666172027588": 142, "0243849754333496": 142, "024385031312704086": 142, "0243909358978271": 142, "0243937969207764": 142, "024397453293204308": 142, "0244016647338867": 142, "02440420724451542": 142, "0244224071502686": 142, "024438083171844482": 142, "0244405269622803": 142, "02444063313305378": 142, "0244503021240234": 142, "024463176727295": 142, "0244824886322021": 142, "02448803000152111": 142, "024496445432305336": 142, "0245063304901123": 142, "02450697124004364": 142, "02451108582317829": 142, "0245225429534912": 142, "024525756016373634": 142, "0245435237884521": 142, "0245561599731445": 142, "0245602130889893": 142, "0245628356933594": 142, "024566888809204": 142, "0245695114135742": 142, "0245707035064697": 142, "0245819091796875": 142, "024587025865912437": 142, "02460188791155815": 142, "0246095657348633": 142, "0246117115020752": 142, "0246169567108154": 142, "024627447128296": 142, "0246305465698242": 142, "024641513824463": 142, "0246620178222656": 142, "0246646404266357": 142, "024665774777531624": 142, "024687226861715317": 142, "0246996879577637": 142, "0247080326080322": 142, "024721765890717506": 142, "024726836010813713": 142, "0247337818145752": 142, "0247406959533691": 142, "0247437953948975": 142, "0247559547424316": 142, "0247647762298584": 142, "024768352508545": 142, "024773959070444107": 142, "02479349821805954": 142, "0248088836669922": 142, "0248172283172607": 142, "024817705154419": 142, "02482563629746437": 142, "0248403400182724": 142, "024843277409672737": 142, "02484969235956669": 142, "0248546600341797": 142, "0248568058013916": 142, "02485990524292": 142, "0248606204986572": 142, "024864807724952698": 142, "024872064590454": 142, "024888992309570312": 142, "024892807006836": 142, "0248980522155762": 142, "0249013900756836": 142, "024904489517212": 142, "024906324222683907": 142, "02491334266960621": 142, "0249240398406982": 142, "0249443054199219": 142, "02495022490620613": 142, "0249552726745605": 142, "024961233139038": 142, "02497161366045475": 142, "0249807834625244": 142, "02498786337673664": 142, "0249e": 148, "025": [132, 147, 157], "025003433227539": 142, "0250048637390137": 142, "02501107193529606": 142, "0250136852264404": 142, "0250146389007568": 142, "02501636929810047": 142, "0250270366668701": 142, "025033712387085": 142, "0250589847564697": 142, "025073332712054253": 142, "0250740051269531": 142, "025076856836676598": 142, "0250868797302246": 142, "025087136775255203": 142, "025111198425293": 142, "02514096535742283": 142, "0251495838165283": 142, "0251550674438477": 142, "02516040951013565": 142, "0251693725585938": 142, "0251696109771729": 142, "025173773989081383": 142, "0251822471618652": 142, "0251827239990234": 142, "025186363607645035": 142, "0251960754394531": 142, "0251996517181396": 142, "025206850841641426": 142, "025209903717041016": 142, "025222377851605415": 142, "0252304077148438": 142, "0252306461334229": 142, "025231996551156044": 142, "025235652923584": 142, "025244951248169": 142, "0252506732940674": 142, "025252830237150192": 142, "0252690315246582": 142, "0252838134765625": 142, "025285005569458": 142, "0252904891967773": 142, "025295402854681015": 142, "0252974033355713": 142, "0252976417541504": 142, "0252978801727295": 142, "0253033638000488": 142, "025303840637207": 142, "0253047943115234": 142, "0253210067749023": 142, "025321615859866142": 142, "025321688503026962": 142, "025348488241434097": 142, "0253496170043945": 142, "025353193283081": 142, "0253608226776123": 142, "0253620147705078": 142, "025385601446032524": 142, "02538987062871456": 142, "025392770767212": 142, "0253949165344238": 142, "025414064526557922": 142, "025421341881155968": 142, "025431156158447": 142, "02543306350708": 142, "025434585288167": 142, "0254368782043457": 142, "025442123413086": 142, "025468086823821068": 142, "0254848003387451": 142, "025486499071121216": 142, "0255022048950195": 142, "025505542755127": 142, "0255072116851807": 142, "02552410215139389": 142, "0255329608917236": 142, "0255510807037354": 142, "02555185556411743": 142, "0255577564239502": 142, "0255701541900635": 142, "0255746841430664": 142, "0255751609802246": 142, "02557945251465": 142, "02558806538581848": 142, "025590181350708": 142, "0255963802337646": 142, "025604486465454": 142, "025606950744986534": 142, "02560838684439659": 142, "025609107688069344": 142, "0256128311157227": 142, "0256238654255867": 142, "0256381034851074": 142, "0256562232971191": 142, "0256564617156982": 142, "0256645679473877": 142, "025665283203125": 142, "0256726741790771": 142, "0256807804107666": 142, "025686774402856827": 142, "0257": 139, "02570915222168": 142, "0257139205932617": 142, "0257203578948975": 142, "0257251262664795": 142, "025726526975631714": 142, "025729617103934288": 142, "025729656219482": 142, "0257465839385986": 142, "0257480144500732": 142, "0257601737976074": 142, "02576916664838791": 142, "0257744789123535": 142, "025778062641620636": 142, "025779724121094": 142, "0257813930511475": 142, "025783799588680267": 142, "025792121887207": 142, "025792760774493217": 142, "0258": 154, "0258057117462158": 142, "0258067324757576": 142, "0258104801177979": 142, "025817830115556717": 142, "0258479118347168": 142, "025856487452983856": 142, "02587420865893364": 142, "0258750915527344": 142, "025890588760376": 142, "0259020328521729": 142, "0259060859680176": 142, "025915145874023": 142, "0259177684783936": 142, "0259203910827637": 142, "025929315015673637": 142, "0259301662445068": 142, "025938730686903": 142, "02593994140625": 142, "0259690284729004": 142, "0259730815887451": 142, "0259854793548584": 142, "02599404752254486": 142, "025996446609497": 142, "026": 147, "0260021686553955": 142, "026006940752267838": 142, "026010513305664": 142, "0260131359100342": 142, "026015281677246": 142, "0260379314422607": 142, "026049157604575157": 142, "02605404704809189": 142, "0260655879974365": 142, "026076316833496": 142, "0260818004608154": 142, "0260844230651855": 142, "026088031008839607": 142, "02609878219664097": 142, "0260e": 147, "0261108875274658": 142, "02611326426267624": 142, "0261147022247314": 142, "026117589324712753": 142, "026128049939870834": 142, "0261411666870117": 142, "0261421203613281": 142, "026144685223698616": 142, "0261456966400146": 142, "0261542797088623": 142, "02615596167743206": 142, "0261573791503906": 142, "026192493736743927": 142, "026198148727417": 142, "0261998176574707": 142, "0262088775634766": 142, "026214838027954": 142, "0262420177459717": 142, "0262603759765625": 142, "0262644290924072": 142, "0262649059295654": 142, "0262675285339355": 142, "02626870572566986": 142, "02628892846405506": 142, "0262889862060547": 142, "0262935161590576": 142, "026308298110962": 142, "026308396831154823": 142, "0263137817382812": 142, "026315689086914": 142, "026326531544327736": 142, "0263288021087646": 142, "0263354778289795": 142, "026362262666225433": 142, "026364803314209": 142, "026391983032227": 142, "026392929255962372": 142, "026393186300992966": 142, "026397466659546": 142, "026400616392493248": 142, "026409611105918884": 142, "026411041617393494": 142, "026414155960083": 142, "026418924331665": 142, "0264599323272705": 142, "0264639854431152": 142, "026475191116333": 142, "0264766216278076": 142, "026491403579712": 142, "0264930725097656": 142, "026494026184082": 142, "0265161991119385": 142, "0265240669250488": 142, "0265302658081055": 142, "02653372660279274": 142, "026556961238384247": 142, "02655927464365959": 142, "0265631675720215": 142, "026563407853245735": 142, "026564402505755424": 142, "026569494977593422": 142, "0265755653381348": 142, "0265774726867676": 142, "026577472686768": 142, "0265874862670898": 142, "026587963104248": 142, "0265896320343018": 142, "026598434895277023": 142, "0266070365905762": 142, "0266127586364746": 142, "0266153812408447": 142, "0266356468200684": 142, "026660442352295": 142, "026673126965761185": 142, "0266904830932617": 142, "026692071929574013": 142, "0267": 139, "0267131328582764": 142, "026718251407146454": 142, "0267314910888672": 142, "0267457962036133": 142, "0267584323883057": 142, "0267586708068848": 142, "026761723682284355": 142, "026782751083374": 142, "0267891883850098": 142, "0268025398254395": 142, "026828749105334282": 142, "0268371105194092": 142, "0268380641937256": 142, "02685667760670185": 142, "026866436004639": 142, "0268828868865967": 142, "0268845558166504": 142, "02690049260854721": 142, "0269064903259277": 142, "026911230757832527": 142, "0269134044647217": 142, "026931041851639748": 142, "026932548731565475": 142, "026932790875434875": 142, "0269505977630615": 142, "026952950283885002": 142, "02696244791150093": 142, "02696336805820465": 142, "026963472366333": 142, "0269670486450195": 142, "0269672870635986": 142, "026969896629452705": 142, "026970624923706": 142, "026973111554980278": 142, "0269763469696045": 142, "0269808769226074": 142, "026992451399564743": 142, "026994286105036736": 142, "027": [139, 147], "0270018577575684": 142, "027008056640625": 142, "0270092487335205": 142, "0270118713378906": 142, "02701740525662899": 142, "02701997756958": 142, "0270538330078125": 142, "02705717086792": 142, "0270626544952393": 142, "0270729064941406": 142, "027092542499303818": 142, "027104215696454048": 142, "02711033634841442": 142, "0271124839782715": 142, "0271146297454834": 142, "027137279510498": 142, "027158737182617": 142, "0271658897399902": 142, "027172116562724113": 142, "027176667004823685": 142, "0271775722503662": 142, "0271801948547363": 142, "027181487530469894": 142, "02718948759138584": 142, "02720520831644535": 142, "0272202491760254": 142, "027263209223747253": 142, "027271270751953": 142, "027292251586914": 142, "0272955894470215": 142, "027296708896756172": 142, "0273041725158691": 142, "0273284912109375": 142, "0273525714874268": 142, "027357816696167": 142, "0273594856262207": 142, "027360662817955017": 142, "027365684509277": 142, "0273709297180176": 142, "027377128601074": 142, "0273778438568115": 142, "0273826215416193": 142, "027387313544750214": 142, "027388572692871": 142, "0273890495300293": 142, "0273966789245605": 142, "027410581707954407": 142, "0274217128753662": 142, "027423691004514694": 142, "0274243354797363": 142, "02742600440979": 142, "027448892593384": 142, "0274503231048584": 142, "02745690569281578": 142, "0274627208709717": 142, "027468204498291": 142, "027475833892822": 142, "027480125427246": 142, "027484970167279243": 142, "027517903596162796": 142, "0275239944458008": 142, "027529539540410042": 142, "027544021606445": 142, "0275585651397705": 142, "0275864601135254": 142, "0276012420654297": 142, "0276069641113281": 142, "027618646621704": 142, "02762388251721859": 142, "0276246070861816": 142, "02762794867157936": 142, "02763821743428707": 142, "0276439189910889": 142, "0276563167572021": 142, "0276572704315186": 142, "0276644229888916": 142, "02766905352473259": 142, "0276739597320557": 142, "0276744365692139": 142, "0276906490325928": 142, "0276954174041748": 142, "02771318517625332": 142, "02773464471101761": 142, "027736658230423927": 142, "027745246887207": 142, "0277540683746338": 142, "027757877483963966": 142, "0277619361877441": 142, "0277628898620605": 142, "0277771949768066": 142, "0277786254882812": 142, "0277903079986572": 142, "02780553698539734": 142, "0278065204620361": 142, "0278136730194092": 142, "02782": 142, "02782975696027279": 142, "0278303623199463": 142, "0278353691101074": 142, "0278677940368652": 142, "027876311913132668": 142, "0278780460357666": 142, "027882233262062073": 142, "0278840065002441": 142, "0278983116149902": 142, "0279107093811035": 142, "0279242992401123": 142, "0279278755187988": 142, "02792886458337307": 142, "0279412269592285": 142, "0279490947723389": 142, "0279514789581299": 142, "0279572010040283": 142, "02796391025185585": 142, "0279650688171387": 142, "027972936630249": 142, "027984619140625": 142, "0279889106750488": 142, "028": 147, "028021477162837982": 142, "0280580520629883": 142, "0280630588531494": 142, "0280895233154297": 142, "02812902070581913": 142, "0281436443328857": 142, "028151988983154": 142, "028163967654109": 142, "028165578842163": 142, "0281767845153809": 142, "0281779766082764": 142, "028191328048706": 142, "0282032489776611": 142, "0282182693481445": 142, "028223374858498573": 142, "0282366275787354": 142, "0282464027404785": 142, "028247548267245293": 142, "0282485485076904": 142, "02825": 139, "028250809758901596": 142, "028264045715332": 142, "02827787399292": 142, "02828017622232437": 142, "0282838344573975": 142, "0282917022705078": 142, "0282926559448242": 142, "028297424316406": 142, "028301969170570374": 142, "028304824605584145": 142, "0283052921295166": 142, "028305530548096": 142, "028306569904088974": 142, "028317710384726524": 142, "028329610824585": 142, "02833014912903309": 142, "028337307274341583": 142, "028346300125122": 142, "0283467769622803": 142, "0283653736114502": 142, "0283663272857666": 142, "0283665657043457": 142, "0283734798431396": 142, "028386544436216354": 142, "02838810347020626": 142, "02839777246117592": 142, "028400177136063576": 142, "028402451425790787": 142, "028419749811291695": 142, "028425931930542": 142, "0284287929534912": 142, "028437213972210884": 142, "0284497737884521": 142, "0284600257873535": 142, "0284647941589355": 142, "0284712314605713": 142, "028471307829022408": 142, "028474468737840652": 142, "0284788608551025": 142, "02848452888429165": 142, "02848980203270912": 142, "0284950733184814": 142, "02850145660340786": 142, "0285108089447021": 142, "028511524200439453": 142, "028519263491034508": 142, "028520107269287": 142, "028525058180093765": 142, "02853376232087612": 142, "028533935546875": 142, "02854347229004": 142, "028548002243042": 142, "028569607064127922": 142, "028571367263794": 142, "028597354888916": 142, "0286002159118652": 142, "028605137020349503": 142, "028606653213501": 142, "028620719909668": 142, "0286264419555664": 142, "0286285877227783": 142, "0286314487457275": 142, "0286426544189453": 142, "0286436080932617": 142, "0286483764648438": 142, "0286531448364258": 142, "0286710262298584": 142, "028672218322754": 142, "0286829471588135": 142, "028695886954665184": 142, "0287015438079834": 142, "028711142018437386": 142, "0287299156188965": 142, "0287508964538574": 142, "0287528038024902": 142, "028761442750692368": 142, "028764309361577034": 142, "0287725925445557": 142, "028773784637451172": 142, "0287847518920898": 142, "0287864208221436": 142, "0287926197052002": 142, "0287981033325195": 142, "0288047790527344": 142, "0288121085613966": 142, "0288200378417969": 142, "0288231372833252": 142, "02882814034819603": 142, "0288350582122803": 142, "0288589000701904": 142, "02885979": 151, "0288722515106201": 142, "0288829803466797": 142, "0288896560668945": 142, "028890609741211": 142, "0289018154144287": 142, "0289034843444824": 142, "0289041996002197": 142, "028923511505127": 142, "028925895690918": 142, "0289289951324463": 142, "0289318561553955": 142, "0289320945739746": 142, "02894301526248455": 142, "02895386889576912": 142, "0289595127105713": 142, "0289602279663086": 142, "028964146971702576": 142, "028965711593628": 142, "028977632522583": 142, "0289778932929039": 142, "029": [132, 147, 157], "0290014743804932": 142, "029003620147705": 142, "0290119647979736": 142, "0290195941925049": 142, "0290303230285645": 142, "02903505228459835": 142, "0290372371673584": 142, "0290510654449463": 142, "029066562652588": 142, "0290687084197998": 142, "0290806293487549": 142, "0290844440460205": 142, "0291047096252441": 142, "0291290283203125": 142, "0291361808776855": 142, "0291376113891602": 142, "029145022854208946": 142, "0291526317596436": 142, "029168054461479187": 142, "029174566268921": 142, "0291762351989746": 142, "029177315533161163": 142, "0291850566864014": 142, "0291953086853027": 142, "0292000770568848": 142, "02920583076775074": 142, "0292167663574219": 142, "0292277336120605": 142, "0292391777038574": 142, "029266785830259323": 142, "0292840003967285": 142, "0292854309082031": 142, "0293006896972656": 142, "0293021202087402": 142, "0293054580688477": 142, "0293195247650146": 142, "0293235778808594": 142, "0293300151824951": 142, "0293323993682861": 142, "0293364524841309": 142, "029341697692871": 142, "029350902885198593": 142, "0293524265289307": 142, "0293545722961426": 142, "029360271990299225": 142, "0293636322021484": 142, "02936909906566143": 142, "029369831085205": 142, "0293762683868408": 142, "0293810423463583": 142, "0294": 139, "0294020175933838": 142, "0294103622436523": 142, "0294203758239746": 142, "029420871287584305": 142, "0294246673583984": 142, "02944009006023407": 142, "02944016456604": 142, "02944219298660755": 142, "0294616222381592": 142, "02948620915412903": 142, "02949717827141285": 142, "0295007228851318": 142, "02950119972229": 142, "0295093059539795": 142, "029515203088521957": 142, "029527829959988594": 142, "0295426845550537": 142, "0295438766479492": 142, "0295445919036865": 142, "029569387435913": 142, "0295696258544922": 142, "0295734405517578": 142, "0295786801725626": 142, "0295798778533936": 142, "0295870304107666": 142, "0295898914337158": 142, "029594898223877": 142, "029599562287330627": 142, "0296170711517334": 142, "02962132729589939": 142, "02962303161621": 142, "029627799987793": 142, "0296473503112793": 142, "029653549194336": 142, "029660776257514954": 142, "0296645164489746": 142, "0296776294708252": 142, "029687881469727": 142, "0296881198883057": 142, "0297014713287354": 142, "0297133922576904": 142, "0297141075134277": 142, "0297245979309082": 142, "02973172813653946": 142, "0297462940216064": 142, "0297496318817139": 142, "029750686138868332": 142, "029754746705293655": 142, "0297740176320076": 142, "029778657481074333": 142, "0297870635986328": 142, "029790837317705154": 142, "0297999382019043": 142, "029801061376929283": 142, "029818765819072723": 142, "029829978942871": 142, "0298304557800293": 142, "0298316478729248": 142, "029832363128662": 142, "029834508895874": 142, "02983773499727249": 142, "029841661453247": 142, "0298552513122559": 142, "0298810005187988": 142, "0298874378204346": 142, "029897928237915": 142, "0299086570739746": 142, "0299088954925537": 142, "029924025759100914": 142, "029951678588986397": 142, "0299549102783203": 142, "0299551859498024": 142, "0299582481384277": 142, "0299701690673828": 142, "0299878120422363": 142, "029991865158081": 142, "0299921035766602": 142, "029993534088135": 142, "0299952030181885": 142, "02e": 147, "02it": 147, "02m": 134, "02mb": 134, "03": [134, 139, 142, 147, 148, 149, 153, 154], "030": [139, 147], "0300095081329346": 142, "030019760131836": 142, "0300371646881104": 142, "0300469398498535": 142, "0300710201263428": 142, "0300788879394531": 142, "030079156160354614": 142, "030080795288086": 142, "030084582045674324": 142, "03008626215159893": 142, "030107324942946434": 142, "03010890632867813": 142, "030144453048706": 142, "0301539897918701": 142, "0301663875579834": 142, "0301697254180908": 142, "030172528699040413": 142, "030183693394064903": 142, "030186017975211143": 142, "0301892757415771": 142, "030190303921699524": 142, "0302088260650635": 142, "030235551297664642": 142, "0302367210388184": 142, "0302424430847168": 142, "0302503108978271": 142, "0302739143371582": 142, "03027493692934513": 142, "0302770137786865": 142, "0302963256835938": 142, "0302979946136475": 142, "030298203229904175": 142, "030317138880491257": 142, "0303387641906738": 142, "0303447246551514": 142, "0303497314453125": 142, "030351161956787": 142, "030358076095581": 142, "0303983688354492": 142, "0304081439971924": 142, "0304083824157715": 142, "0304205417633057": 142, "030429473146796227": 142, "0304312705993652": 142, "0304393768310547": 142, "0304505825042725": 142, "0304603576660156": 142, "030470609664917": 142, "030472531914711": 142, "03048611804842949": 142, "0305087566375732": 142, "0305333137512207": 142, "030552655458450317": 142, "030564311891794205": 142, "030585765838623": 142, "0306": 154, "03060433268547058": 142, "0306291580200195": 142, "0306320190429688": 142, "0306415557861328": 142, "0306434631347656": 142, "0306439399719238": 142, "030644178390503": 142, "030654119327664375": 142, "030689716339111": 142, "0306899547576904": 142, "03069262020289898": 142, "0307016372680664": 142, "0307230949401855": 142, "0307297706604004": 142, "03073890693485737": 142, "0307443141937256": 142, "0307486057281494": 142, "0307493209838867": 142, "0307564735412598": 142, "0307629108428955": 142, "0307657718658447": 142, "030766265466809273": 142, "0307745933532715": 142, "0308036804199219": 142, "03080694004893303": 142, "030817985534668": 142, "0308215618133545": 142, "030821923166513443": 142, "0308284759521484": 142, "0308644771575928": 142, "0308687686920166": 142, "030870040878653526": 142, "0308773517608643": 142, "030897617340088": 142, "0309057235717773": 142, "0309290885925293": 142, "030930995941162": 142, "0309419631958008": 142, "0309855937957764": 142, "03099086321890354": 142, "030994176864624": 142, "030996322631836": 142, "031": 147, "0310132503509521": 142, "0310389995574951": 142, "0310428142547607": 142, "0310478210449219": 142, "03104996308684349": 142, "0310614109039307": 142, "03106689453125": 142, "031077297404408455": 142, "0310778617858887": 142, "0310895442962646": 142, "031090276315808296": 142, "03110671043396": 142, "0311098098754883": 142, "031114101409912": 142, "0311381816864014": 142, "031150059774518013": 142, "0311520099639893": 142, "031161775812506676": 142, "0311686992645264": 142, "0311720371246338": 142, "031174898147583": 142, "03118896484375": 142, "031212568283081": 142, "031215546652674675": 142, "0312185287475586": 142, "0312325954437256": 142, "031266450881958": 142, "031267166137695": 142, "031269848346710205": 142, "0312745571136475": 142, "03128981590271": 142, "031290452927351": 142, "0312998294830322": 142, "031303882598877": 142, "0313043594360352": 142, "031315803527832": 142, "0313611030578613": 142, "03136313706636429": 142, "0313655287027359": 142, "031400203704834": 142, "031402587890625": 142, "031417369842529": 142, "0314271450042725": 142, "031433343887329": 142, "031435251235962": 142, "031440019607544": 142, "0314691066741943": 142, "03150": [97, 98], "0315024852752686": 142, "0315070152282715": 142, "0315132141113281": 142, "0315306186676025": 142, "03153112158179283": 142, "031548023223877": 142, "031550884246826": 142, "0315523147583008": 142, "0315577983856201": 142, "031558580696582794": 142, "0315886028110981": 142, "031595341861248016": 142, "0316035747528076": 142, "031607042998075485": 142, "03160730376839638": 142, "031610727310180664": 142, "0316215455532074": 142, "0316372886300087": 142, "0316407680511475": 142, "0316658020019531": 142, "0316753387451172": 142, "031675852835178375": 142, "0316765308380127": 142, "0316812992095947": 142, "0317111015319824": 142, "03171312063932419": 142, "0317177772521973": 142, "031726360321045": 142, "0317296981811523": 142, "0317301750183105": 142, "0317425727844238": 142, "031755343079566956": 142, "0317609310150146": 142, "031768798828125": 142, "031769037246704": 142, "0317893028259277": 142, "031793393194675446": 142, "0317940711975098": 142, "03180616721510887": 142, "0318133607506752": 142, "0318269729614258": 142, "0318312644958496": 142, "0318400859832764": 142, "031844086945056915": 142, "0318474769592285": 142, "0318603515625": 142, "0318615436553955": 142, "03187863901257515": 142, "031890351325273514": 142, "0319159030914307": 142, "0319204330444336": 142, "0319287776947021": 142, "0319299697875977": 142, "0319318771362305": 142, "03193848952651024": 142, "0319647789001465": 142, "0319674015045166": 142, "0319766998291016": 142, "0319981575012207": 142, "032": [139, 147], "0320076942443848": 142, "0320236682891846": 142, "032033920288086": 142, "0320460796356201": 142, "0320558547973633": 142, "03206710144877434": 142, "0320727825164795": 142, "0320823192596436": 142, "032087326049805": 142, "0321": 147, "0321097373962402": 142, "0321276187896729": 142, "0321612358093262": 142, "032167911529541": 142, "03217315673828": 142, "0321741104125977": 142, "0321757793426514": 142, "032180383801460266": 142, "03219551220536232": 142, "0321967676281929": 142, "0322091579437256": 142, "03221781179308891": 142, "0322210788726807": 142, "032222017645835876": 142, "03222419321537018": 142, "03222901001572609": 142, "03223991394043": 142, "032241467386484146": 142, "0322518348693848": 142, "0322551727294922": 142, "032257318496704": 142, "0322587490081787": 142, "0322635173797607": 142, "032270047813653946": 142, "0322809219360352": 142, "03228205814957619": 142, "032294515520334244": 142, "032299518585205": 142, "0323083400726318": 142, "032315731048584": 142, "032349564135074615": 142, "03235248103737831": 142, "0323708057403564": 142, "032379936426877975": 142, "03238009288907051": 142, "0323808193206787": 142, "032381534576416": 142, "0323822498321533": 142, "032386302947998": 142, "0323865413665771": 142, "0323882102966309": 142, "032394856214523315": 142, "03239566460251808": 142, "03239936754107475": 142, "0324194431304932": 142, "0324201583862305": 142, "032421644777059555": 142, "0324256420135498": 142, "0324277877807617": 142, "0324468612670898": 142, "0324487686157227": 142, "0324532985687256": 142, "032454490661621": 142, "0324647426605225": 142, "0324740409851074": 142, "03247892111539841": 142, "0324876308441162": 142, "0324981212615967": 142, "0325017124414444": 142, "032514572143555": 142, "032515525817871": 142, "032539885491132736": 142, "0325510501861572": 142, "0325596332550049": 142, "03257231414318085": 142, "032580871134996414": 142, "032583236694336": 142, "032583475112915": 142, "0325841903686523": 142, "0325844287872314": 142, "032588005065918": 142, "0325953960418701": 142, "032600972801446915": 142, "032606601715088": 142, "03261399269104": 142, "03261507302522659": 142, "032632827758789": 142, "032636143267154694": 142, "032645564526319504": 142, "032646656036377": 142, "0326600074768066": 142, "03266033157706261": 142, "0326764583587646": 142, "0326838493347168": 142, "0326929092407227": 142, "0327131524682045": 142, "032728828489780426": 142, "03273520991206169": 142, "032740592956543": 142, "032748494297266006": 142, "03275245428085327": 142, "032757051289081573": 142, "03277845308184624": 142, "0327794551849365": 142, "032780494540929794": 142, "032792091369629": 142, "0328013896942139": 142, "0328130722045898": 142, "0328335762023926": 142, "032840341329574585": 142, "0328431129455566": 142, "0328476428985596": 142, "032848358154297": 142, "03286915272474289": 142, "0328714847564697": 142, "0328738689422607": 142, "0328869819641113": 142, "0328996181488037": 142, "0329": 139, "0329093933105469": 142, "032914161682129": 142, "0329160690307617": 142, "032918930053711": 142, "0329289436340332": 142, "032935619354248": 142, "0329504013061523": 142, "0329599380493164": 142, "032975900918245316": 142, "0329763889312744": 142, "03297920152544975": 142, "03299713134765625": 142, "033": [132, 147, 157], "0330073833465576": 142, "0330097675323486": 142, "033011674880981445": 142, "033012453466653824": 142, "0330142974853516": 142, "0330209732055664": 142, "03304900974035263": 142, "0330820083618164": 142, "033084504306316376": 142, "033092737197876": 142, "0331001281738281": 142, "0331032276153564": 142, "0331141948699951": 142, "0331218242645264": 142, "0331225395202637": 142, "033140182495117": 142, "03314484655857086": 142, "0331668853759766": 142, "0331823825836182": 142, "03319242224097252": 142, "033205032348633": 142, "0332252979278564": 142, "033240556716919": 142, "0332436561584473": 142, "0332448482513428": 142, "033250175416469574": 142, "03325491398572922": 142, "0332555770874023": 142, "033255696296691895": 142, "0332777500152588": 142, "033292293548584": 142, "0333123207092285": 142, "0333251953125": 142, "0333318710327148": 142, "033341884613037": 142, "033385373651981354": 142, "033388376235962": 142, "033398151397705": 142, "0333988666534424": 142, "0334": 139, "0334062576293945": 142, "0334069728851318": 142, "03341086208820343": 142, "03341293334961": 142, "03342686966061592": 142, "03342937305569649": 142, "0334303379058838": 142, "0334317684173584": 142, "03343392536044121": 142, "033434320241212845": 142, "0334391593933105": 142, "0334594249725342": 142, "0334596633911133": 142, "0334861278533936": 142, "0334875583648682": 142, "0334923267364502": 142, "033531904220581": 142, "03353506326675415": 142, "033555030822754": 142, "033572591841220856": 142, "0335865020751953": 142, "033591244369745255": 142, "0335946083068848": 142, "03360309824347496": 142, "03360651805996895": 142, "0336353778839111": 142, "0336358547210693": 142, "0336370468139648": 142, "033638000488281": 142, "0336437225341797": 142, "03364896774292": 142, "03364944830536842": 142, "0336575508117676": 142, "033658504486084": 142, "033684492111206": 142, "0336846299469471": 142, "03368673473596573": 142, "0336921215057373": 142, "033698320388794": 142, "0336997509002686": 142, "033703409135341644": 142, "033707134425640106": 142, "0337281227111816": 142, "0337307453155518": 142, "0337409973144531": 142, "03374422341585159": 142, "033751241862773895": 142, "03377103805542": 142, "0337891578674316": 142, "0337917804718018": 142, "03379852697253227": 142, "0338034629821777": 142, "0338060855865479": 142, "0338246822357178": 142, "0338282585144043": 142, "033848762512207": 142, "03386358916759491": 142, "0338804721832275": 142, "033882141113281": 142, "0338821411132812": 142, "03388448804616928": 142, "0338923931121826": 142, "0339031219482422": 142, "0339043140411377": 142, "0339255332946777": 142, "03394445404410362": 142, "0339596271514893": 142, "0339607298374176": 142, "0339646339416504": 142, "0339701175689697": 142, "034": 147, "0340008735656738": 142, "034023284912109": 142, "034024953842163": 142, "034038782119751": 142, "0340404510498047": 142, "0340499877929688": 142, "0340526103973389": 142, "03407621383667": 142, "034081488847732544": 142, "03410009667277336": 142, "0341060161590576": 142, "0341086387634277": 142, "034117214381694794": 142, "03411865234375": 142, "0341191291809082": 142, "0341215133666992": 142, "03413378447294235": 142, "034142255783081": 142, "034156858921051025": 142, "0341720581054688": 142, "0341730117797852": 142, "034177780151367": 142, "0341780185699463": 142, "0341811180114746": 142, "0341930389404297": 142, "034224271774292": 142, "0342473983764648": 142, "0342504978179932": 142, "03425930067896843": 142, "0342671871185303": 142, "0342731475830078": 142, "03429211676120758": 142, "034293368458747864": 142, "0343189239501953": 142, "0343191623687744": 142, "034323785454034805": 142, "0343494415283203": 142, "034373100847005844": 142, "0343880653381348": 142, "0343883037567139": 142, "034390442073345184": 142, "0343940258026123": 142, "03439714387059212": 142, "0344016551971436": 142, "0344085693359375": 142, "0344090461730957": 142, "0344116687774658": 142, "034412145614624": 142, "0344135761260986": 142, "034420013427734": 142, "03442879766225815": 142, "03443516418337822": 142, "034440279006958": 142, "0344457626342773": 142, "034465789794922": 142, "034470796585083": 142, "034482717514038": 142, "034484624862671": 142, "03449185565114021": 142, "0345001220703125": 142, "034510478377342224": 142, "0345144271850586": 142, "03454068303108215": 142, "034542106091976166": 142, "0345478057861328": 142, "0345573425292969": 142, "0345714092254639": 142, "0345847606658936": 142, "0345854759216309": 142, "034587860107422": 142, "034599781036377": 142, "034612126648426056": 142, "0346317291259766": 142, "03466852381825447": 142, "034688949584961": 142, "0346901416778564": 142, "03469487652182579": 142, "034710168838501": 142, "0347199440002441": 142, "03473765775561333": 142, "03474804386496544": 142, "0347495079040527": 142, "03475045785307884": 142, "0347530841827393": 142, "034754991531372": 142, "03475749492645264": 142, "0347576141357422": 142, "034759521484375": 142, "034762971103191376": 142, "034776050597429276": 142, "0347893238067627": 142, "034792184829712": 142, "0348057746887207": 142, "0348131656646729": 142, "0348191261291504": 142, "034825801849365": 142, "0348331928253174": 142, "0348365306854248": 142, "0348484516143799": 142, "0348496437072754": 142, "034856706857681274": 142, "0348601341247559": 142, "034860167652368546": 142, "0348682403564453": 142, "0349030494689941": 142, "0349071025848389": 142, "034921169281006": 142, "0349385738372803": 142, "0349411964416504": 142, "03494749963283539": 142, "034959077835083": 142, "034961223602295": 142, "034967128187417984": 142, "0349678993225098": 142, "0349738784134388": 142, "035": 147, "0350100994110107": 142, "035022497177124": 142, "0350368022918701": 142, "035040378570557": 142, "03504742309451103": 142, "035050392150879": 142, "035057783126831": 142, "0350582599639893": 142, "035064458847046": 142, "0350775718688965": 142, "0350894927978516": 142, "0351": 144, "035102128982544": 142, "03511717915534973": 142, "0351173877716064": 142, "03512191399931908": 142, "0351226329803467": 142, "035140514373779": 142, "035165548324585": 142, "035170316696167": 142, "035198211669922": 142, "0352020263671875": 142, "03522491455078": 142, "03522667661309242": 142, "0352306365966797": 142, "0352364219725132": 142, "0352399349212646": 142, "0352554321289062": 142, "0352637767791748": 142, "0352652072906494": 142, "0352704524993896": 142, "035270582884550095": 142, "03527069091797": 142, "0352742671966553": 142, "035285472869873": 142, "0352935791015625": 142, "0352966785430908": 142, "035311222076416": 142, "0353114604949951": 142, "0353443622589111": 142, "0353522300720215": 142, "0353541374206543": 142, "0353631973266602": 142, "0353686809539795": 142, "0353813171386719": 142, "03538805618882179": 142, "03539299592375755": 142, "0353949069976807": 142, "03540503978729248": 142, "03540727123618126": 142, "0354125499725342": 142, "03542618826031685": 142, "0354299545288086": 142, "035436298698186874": 142, "035450804978609085": 142, "0354564189910889": 142, "03546104653991": 142, "035461664199829": 142, "0354654788970947": 142, "03547317534685135": 142, "03549259155988693": 142, "0354974269866943": 142, "0355055332183838": 142, "0355348587036133": 142, "0355377197265625": 142, "0355384349822998": 142, "0355463027954102": 142, "0355474948883057": 142, "0355539321899414": 142, "035560231655836105": 142, "0355610847473145": 142, "035567283630371": 142, "03556816652417183": 142, "035573959350586": 142, "03558746725320816": 142, "0356009416282177": 142, "0356011390686035": 142, "035602331161499": 142, "0356054306030273": 142, "0356087684631348": 142, "0356144905090332": 142, "0356268882751465": 142, "0356361865997314": 142, "0356688499450684": 142, "035686731338501": 142, "035691261291504": 142, "035693645477295": 142, "035701036453247": 142, "0357186794281006": 142, "0357215404510498": 142, "0357234477996826": 142, "03573282063007355": 142, "0357401371002197": 142, "0357491970062256": 142, "0357511043548584": 142, "0357666015625": 142, "035771369934082": 142, "035776138305664": 142, "03578519821167": 142, "035787709057331085": 142, "035806655883789": 142, "0358099937438965": 142, "035810947418213": 142, "0358123779296875": 142, "0358257293701172": 142, "035844326019287": 142, "0358443483710289": 142, "0358600616455078": 142, "035862937569618225": 142, "035863876342773": 142, "035869598388672": 142, "03587007522583": 142, "0358750820159912": 142, "03587643802165985": 142, "03588633984327316": 142, "0358872413635254": 142, "035894393920898": 142, "0358998775482178": 142, "035905122756958": 142, "0359203815460205": 142, "035921335220337": 142, "0359306335449219": 142, "03593745082616806": 142, "035947561264038": 142, "0359535217285156": 142, "035961151123047": 142, "0359649658203125": 142, "035965919494629": 142, "035968542098999": 142, "0359702110290527": 142, "035973072052002": 142, "0359768867492676": 142, "03597816079854965": 142, "0359890460968018": 142, "0360333919525146": 142, "0360605716705322": 142, "0360679626464844": 142, "0360703468322754": 142, "0360755920410156": 142, "0360939502716064": 142, "0360996723175049": 142, "03610300272703171": 142, "036113977432251": 142, "0361173152923584": 142, "0361204147338867": 142, "0361270904541016": 142, "036136332899332047": 142, "036140114068984985": 142, "03614427149295807": 142, "0361478328704834": 142, "036150071769952774": 142, "036158800125122": 142, "036165237426758": 142, "03617177903652191": 142, "0361847877502441": 142, "0361862182617188": 142, "0361907482147217": 142, "0361976623535156": 142, "03621157258749008": 142, "0362138748168945": 142, "03622014448046684": 142, "0362226963043213": 142, "0362260341644287": 142, "0362281799316406": 142, "0362298488616943": 142, "0362300872802734": 142, "0362313874065876": 142, "0362603664398193": 142, "0362684726715088": 142, "036271095275878906": 142, "036308765411377": 142, "0363190174102783": 142, "036322977393865585": 142, "03633048012852669": 142, "0363428592681885": 142, "036351803690195084": 142, "0363554954528809": 142, "0363612174987793": 142, "03639771044254303": 142, "03641989827156067": 142, "0364251136779785": 142, "03643035888672": 142, "036446619778871536": 142, "0364699549973011": 142, "0364701747894287": 142, "0364720821380615": 142, "0364842414855957": 142, "03648824989795685": 142, "036492347717285": 142, "036494255065918": 142, "03650426864624": 142, "0365190505981445": 142, "03652024269104": 142, "0365326404571533": 142, "0365431308746338": 142, "036552906036377": 142, "036555528640747": 142, "0365605354309082": 142, "0365729331970215": 142, "03659144788980484": 142, "036595605313777924": 142, "03659633547067642": 142, "036604642868042": 142, "0366098880767822": 142, "0366270542144775": 142, "0366284847259521": 142, "036646842956543": 142, "036655329167842865": 142, "0366597175598145": 142, "0366742610931396": 142, "0366816520690918": 142, "0366942882537842": 142, "03670576587319374": 142, "03670883178711": 142, "0367136001586914": 142, "036726474761963": 142, "0367367267608643": 142, "0367696285247803": 142, "0367727279663086": 142, "036815643310547": 142, "0368196964263916": 142, "03682984039187431": 142, "036832332611084": 142, "03683590143918991": 142, "036858320236206": 142, "0368702411651611": 142, "0368733406066895": 142, "03687428683042526": 142, "03689956665039": 142, "036916058510541916": 142, "0369350910186768": 142, "036935754120349884": 142, "0369513034820557": 142, "0369558334350586": 142, "0369584560394287": 142, "0369799137115479": 142, "0369844436645508": 142, "0369884967803955": 142, "036990001797676086": 142, "037001609802246": 142, "0370092391967773": 142, "037024021148682": 142, "03702479973435402": 142, "037033081054688": 142, "03703939542174339": 142, "0370633602142334": 142, "0370819568634033": 142, "037086486816406": 142, "037099357694387436": 142, "0371017456054688": 142, "0371043682098389": 142, "0371260866522789": 142, "03712625429034233": 142, "0371427536010742": 142, "0371429920196533": 142, "037160873413086": 142, "0371699333190918": 142, "037170033901929855": 142, "0371730327606201": 142, "0371778011322021": 142, "0371804237365723": 142, "0371925830841064": 142, "03720364719629288": 142, "037234": 156, "0372669696807861": 142, "0372693538665771": 142, "0372745990753174": 142, "037280797958374": 142, "03728737309575081": 142, "03729453682899475": 142, "0372982025146484": 142, "037334680557251": 142, "0373365879058838": 142, "037355661392212": 142, "0373563766479492": 142, "0373663567006588": 142, "037373065948486": 142, "037379611283540726": 142, "0373866558074951": 142, "0374090671539307": 142, "0374152660369873": 142, "0374281406402588": 142, "03743553161621": 142, "03744765371084213": 142, "0374557971954346": 142, "03746945410966873": 142, "03747338429093361": 142, "0374820232391357": 142, "037482500076294": 142, "0374865531921387": 142, "037487030029297": 142, "0375003814697266": 142, "0375008583068848": 142, "037529468536377": 142, "03754919767379761": 142, "0375730991363525": 142, "03757781907916069": 142, "0375804901123047": 142, "0376060009002686": 142, "0376177541911602": 142, "037624917924404144": 142, "0376312732696533": 142, "037644386291504": 142, "03765869140625": 142, "0376629829406738": 142, "0376641750335693": 142, "0376811027526855": 142, "037683486938477": 142, "0376856327056885": 142, "03769896179437637": 142, "037708476185798645": 142, "0377180278301239": 142, "0377225875854492": 142, "0377285480499268": 142, "0377328395843506": 142, "037736415863037": 142, "037738561630249": 142, "037738800048828": 142, "0377492904663086": 142, "0377957820892334": 142, "0378143787384033": 142, "037827491760254": 142, "037834882736206": 142, "03786813095211983": 142, "037872314453125": 142, "037872552871704": 142, "0379164218902588": 142, "0379178524017334": 142, "037920303642749786": 142, "037926606833934784": 142, "03793371841311455": 142, "0379467010498047": 142, "037954330444336": 142, "03797149658203": 142, "037975549697876": 142, "0379788875579834": 142, "0379934310913086": 142, "037994384765625": 142, "038": 147, "038000106811523": 142, "038010597229004": 142, "03801107779145241": 142, "038012981414795": 142, "0380237102508545": 142, "038037300109863": 142, "0380377769470215": 142, "0380475521087646": 142, "038064956665039": 142, "0380706787109375": 142, "0380892753601074": 142, "0380959510803223": 142, "038099765777588": 142, "038114547729492": 142, "0381155014038086": 142, "038120746612549": 142, "0381295680999756": 142, "03813154995441437": 142, "0381362438201904": 142, "038137435913086": 142, "0381584167480469": 142, "038172509521245956": 142, "03817272558808327": 142, "038212090730667114": 142, "038217306137085": 142, "03824641555547714": 142, "038252592086792": 142, "0382792949676514": 142, "038301467895508": 142, "03831450641155243": 142, "0383203029632568": 142, "0383260250091553": 142, "038326263427734": 142, "03834925964474678": 142, "0383532047271729": 142, "0383641719818115": 142, "038365364074707": 142, "03836934641003609": 142, "0383760929107666": 142, "03837776184082": 142, "0383872985839844": 142, "03839111328125": 142, "0384": 147, "0384397506713867": 142, "0384411811828613": 142, "03844664245843887": 142, "038452908396720886": 142, "0384681224822998": 142, "0384712219238281": 142, "038489509373903275": 142, "0384933948516846": 142, "0385017395019531": 142, "03850233182311058": 142, "038511037826538": 142, "0385382175445557": 142, "0385420322418213": 142, "038554899394512177": 142, "0385634899139404": 142, "038568153977394104": 142, "0385730266571045": 142, "03857598453760147": 142, "03857729211449623": 142, "0385875701904297": 142, "0385889932513237": 142, "0386250019073486": 142, "038626816123723984": 142, "03863590210676193": 142, "03864738345146179": 142, "0386855602264404": 142, "0386905670166": 142, "038692474365234": 142, "0387": 147, "038700103759766": 142, "038703441619873": 142, "0387086868286133": 142, "0387094020843506": 142, "0387465953826904": 142, "038757085800171": 142, "038758233189582825": 142, "0387687683105469": 142, "038769397884607315": 142, "0387732982635498": 142, "0387852191925049": 142, "038785934448242": 142, "038794994354248": 142, "0388": [147, 149], "0388011932373047": 142, "0388171672821045": 142, "038832426071167": 142, "0388431549072266": 142, "0388634204864502": 142, "0388648509979248": 142, "0388808250427246": 142, "03891690447926521": 142, "038923740386963": 142, "03893548250198364": 142, "0389511585235596": 142, "039": 147, "0390024185180664": 142, "0390067100524902": 142, "0390124320983887": 142, "0390360355377197": 142, "03904157504439354": 142, "039052195847034454": 142, "0390536785125732": 142, "0390656404197216": 142, "03907853364944458": 142, "03909081965684891": 142, "03910006210207939": 142, "039102554321289": 142, "03910462185740471": 142, "03910493850708": 142, "039105176925659": 142, "039108753204346": 142, "0391154289245605": 142, "039138317108154": 142, "0391416549682617": 142, "0391499996185303": 142, "0391552448272705": 142, "039165019989014": 142, "039174821227788925": 142, "0391933917999268": 142, "0391998291015625": 142, "0392260551452637": 142, "0392286777496338": 142, "0392569936811924": 142, "0392920970916748": 142, "0392944812774658": 142, "0393042229115963": 142, "03931944817304611": 142, "039333220571279526": 142, "039335012435913": 142, "0393407344818115": 142, "0393478870391846": 142, "0393505096435547": 142, "039352893829346": 142, "0393691062927246": 142, "0393779277801514": 142, "0393814854323864": 142, "0394032001495361": 142, "039424896240234": 142, "03942703455686569": 142, "0394554138183594": 142, "0394773483276367": 142, "03948510065674782": 142, "0394985675811768": 142, "039505958557129": 142, "0395095348358154": 142, "039522171020508": 142, "0395233631134033": 142, "039539091289043427": 142, "0395421981811523": 142, "0395517349243164": 142, "0395522117614746": 142, "039553459733724594": 142, "039554402232170105": 142, "0395572185516357": 142, "039565086364746": 142, "0395734310150146": 142, "03957411274313927": 142, "03960418701172": 142, "0396058559417725": 142, "03961794450879097": 142, "039620280265808105": 142, "039621353149414": 142, "0396225452423096": 142, "03962819278240204": 142, "0396544933319092": 142, "0396599769592285": 142, "039677381515503": 142, "0396778583526611": 142, "0396857261657715": 142, "039691686630249": 142, "039695739746094": 142, "0397119522094727": 142, "03972260e": 134, "0397453308105469": 142, "039750576019287": 142, "0397570133209229": 142, "03976058959961": 142, "039769172668457": 142, "03977062925696373": 142, "03980246186256409": 142, "03982513025403023": 142, "039834022521973": 142, "039839267730713": 142, "039843156933784485": 142, "039880752563477": 142, "03988416865468025": 142, "039896011352539": 142, "0399045944213867": 142, "0399105548858643": 142, "03991302102804184": 142, "039921760559082": 142, "03994302451610565": 142, "0399446487426758": 142, "0399513244628906": 142, "0399632453918457": 142, "0399646759033203": 142, "039968729019165": 142, "03998275473713875": 142, "0399832725524902": 142, "0399835109710693": 142, "0399885177612305": 142, "03e": 147, "03it": 138, "03m": 134, "04": [132, 134, 141, 142, 145, 147, 149, 153, 154, 157], "040": 134, "04001235961914": 142, "0400307178497314": 142, "040039654821157455": 142, "0400489903986454": 142, "0400500297546387": 142, "04007994011044502": 142, "0401": 154, "040106140077114105": 142, "0401110649108887": 142, "0401153564453125": 142, "0401272773742676": 142, "040149450302124": 142, "0401520729064941": 142, "040152568370103836": 142, "0401577949523926": 142, "0401592254638672": 142, "040172100067139": 142, "04018184542655945": 142, "04021039232611656": 142, "040244050323963165": 142, "0402500629425049": 142, "04025650024414": 142, "0402569770812988": 142, "0402641296386719": 142, "0402662754058838": 142, "0402734279632568": 142, "0402796268463135": 142, "04033040627837181": 142, "0403368473052979": 142, "0403399467468262": 142, "0403523445129395": 142, "040360771119594574": 142, "0403926372528076": 142, "040393590927124": 142, "0404019355773926": 142, "04041965305805206": 142, "0404250621795654": 142, "040430422872304916": 142, "040450096130371": 142, "0404565334320068": 142, "040466070175171": 142, "0404696464538574": 142, "04047386e": 134, "04047388e": 134, "0404746532440186": 142, "040477991104126": 142, "0404846668243408": 142, "040502071380615": 142, "040533065795898": 142, "0405330657959": 142, "0405409336090088": 142, "0405495166778564": 142, "04057083651423454": 142, "040576457977295": 142, "040602207183838": 142, "040607929229736": 142, "0406177043914795": 142, "04062068834900856": 142, "0406293869018555": 142, "04063723608851433": 142, "040637969970703": 142, "0406568050384521": 142, "04065704345703": 142, "04067486524581909": 142, "04067898169159889": 142, "0406887531280518": 142, "04069960489869118": 142, "040700912475586": 142, "0407061576843262": 142, "04071807861328": 142, "040724277496338": 142, "0407342910766602": 142, "0407345294952393": 142, "0407445430755615": 142, "0407593250274658": 142, "040790557861328": 142, "0408015251159668": 142, "040813446044922": 142, "04081423208117485": 142, "0408284664154053": 142, "0408384799957275": 142, "0408411026000977": 142, "04084357991814613": 142, "0408446788787842": 142, "0408518314361572": 142, "040868759155273": 142, "040891647338867": 142, "04089226946234703": 142, "0408995151519775": 142, "0409274101257324": 142, "040928602218628": 142, "040937900543213": 142, "0409514904022217": 142, "040954828262329": 142, "0409634113311768": 142, "040971964597702026": 142, "04098834842443466": 142, "041": 147, "0410": 151, "041006565093994": 142, "0410113334655762": 142, "04101976379752159": 142, "0410587787628174": 142, "0410601980984211": 142, "041069746017456": 142, "0411064624786377": 142, "04111422598361969": 142, "0411229133605957": 142, "0411269664764404": 142, "0411686897277832": 142, "041175127029419": 142, "0411787033081055": 142, "04118854179978371": 142, "041201114654541": 142, "0412037372589111": 142, "04121389612555504": 142, "0412147045135498": 142, "0412228107452393": 142, "041250228881836": 142, "041259527206421": 142, "04129958152771": 142, "041316986083984": 142, "0413198471069336": 142, "041323661804199": 142, "04132843017578": 142, "0413436889648438": 142, "041351318359375": 142, "0413539409637451": 142, "0413751602172852": 142, "0413756370544434": 142, "04138519987463951": 142, "041409969329834": 142, "04141902923584": 142, "0414254665374756": 142, "041428804397583": 142, "041435908526182175": 142, "0414438247680664": 142, "0414597988128662": 142, "0414860248565674": 142, "0415089130401611": 142, "04151115193963051": 142, "0415325164794922": 142, "0415596961975098": 142, "04156704992055893": 142, "0415773391723633": 142, "0415873527526855": 142, "0415894985198975": 142, "041590929031372": 142, "0416359901428223": 142, "0416462421417236": 142, "0416476726531982": 142, "041663646697998": 142, "041694164276123": 142, "0417137145996094": 142, "041730880737305": 142, "041758932173252106": 142, "041759226471185684": 142, "0417742729187012": 142, "04177428036928177": 142, "04178497940301895": 142, "04178537800908089": 142, "041787147521973": 142, "041792117059230804": 142, "041793823242188": 142, "041825879365205765": 142, "041830062866211": 142, "041845321655273": 142, "04184913635254": 142, "0418508052825928": 142, "041851043701172": 142, "04185326024889946": 142, "0418672561645508": 142, "041869878768921": 142, "0418806076049805": 142, "0418810844421387": 142, "041900634765625": 142, "041905164718628": 142, "041910234838724136": 142, "0419139862060547": 142, "0419363975524902": 142, "0419580936431885": 142, "0419673919677734": 142, "0419683456420898": 142, "041974686086177826": 142, "0419843196868896": 142, "04199617728590965": 142, "042": 134, "042028427124023": 142, "0420389249920845": 142, "042078971862793": 142, "04208755493164": 142, "0420916080474854": 142, "0421085357666": 142, "04212360084056854": 142, "04213285446167": 142, "04214033484458923": 142, "042146921157837": 142, "04214903712272644": 142, "0421550273895264": 142, "0421836376190186": 142, "0421948432922363": 142, "042200807482004166": 142, "0422027111053467": 142, "0422098636627197": 142, "0422255992889404": 142, "0422711372375488": 142, "042292833328247": 142, "04229295253753662": 142, "04230412840843201": 142, "0423104763031006": 142, "0423195362091064": 142, "0423266887664795": 142, "0423283576965332": 142, "042351245880127": 142, "0423529148101807": 142, "042367935180664": 142, "042381402105093": 142, "0423870086669922": 142, "04241943359375": 142, "0424273014068604": 142, "042428970336914": 142, "04243196174502373": 142, "0424330234527588": 142, "0424587726593018": 142, "0424811840057373": 142, "04249268397688866": 142, "0425105094909668": 142, "042521920055150986": 142, "0425384044647217": 142, "042557": 156, "0425713062286377": 142, "042571544647217": 142, "0425736904144287": 142, "0425760746002197": 142, "04258749261498451": 142, "0425975322723389": 142, "0426456928253174": 142, "0426523685455322": 142, "0426568984985352": 142, "0426585674285889": 142, "042665481567383": 142, "042666081339120865": 142, "04269027709961": 142, "04269032925367355": 142, "042710781097412": 142, "0427141189575195": 142, "042722702026367": 142, "0427241325378418": 142, "0427262783050537": 142, "042736291885376": 142, "0427517890930176": 142, "0427594184875488": 142, "042776107788086": 142, "0428073406219482": 142, "0428144931793213": 142, "042815923690796": 142, "0428168773651123": 142, "0428194999694824": 142, "042820692062378": 142, "042825698852539": 142, "04284421354532242": 142, "042869567871094": 142, "04290767386555672": 142, "04290771484375": 142, "0429110527038574": 142, "0429155826568604": 142, "0429284572601318": 142, "042933464050293": 142, "042936086654663": 142, "042961712926626205": 142, "042964458465576": 142, "042994737625122": 142, "042996406555176": 142, "043": 147, "0430188179016113": 142, "043022871017456": 142, "0430233478546143": 142, "043025016784668": 142, "0430324077606201": 142, "0430347919464111": 142, "043046474456787": 142, "04305100440979": 142, "043066024780273": 142, "043067533522844315": 142, "0430750846862793": 142, "0430972576141357": 142, "0431077480316162": 142, "043109655380249": 142, "043115463107824326": 142, "043121337890625": 142, "04315185546875": 142, "0431716442108154": 142, "0431759357452393": 142, "043176937848329544": 142, "0431795120239258": 142, "04318259656429291": 142, "0431e": 148, "0432062149047852": 142, "043215036392212": 142, "043215274810791": 142, "043223120272159576": 142, "0432329177856445": 142, "0432388111948967": 142, "04323959350586": 142, "04325461760163307": 142, "043281078338623": 142, "0432872772216797": 142, "043290376663208": 142, "04332350939512253": 142, "043335199356079": 142, "04333764314651489": 142, "04336024448275566": 142, "043383192270994186": 142, "043398141860962": 142, "04339921101927757": 142, "0433993339538574": 142, "0434045791625977": 142, "0434176921844482": 142, "04342516139149666": 142, "043430805206299": 142, "0434386730194092": 142, "043440341949463": 142, "0434720516204834": 142, "043473720550537": 142, "043474197387695": 142, "04347562789917": 142, "04348597675561905": 142, "043516159057617": 142, "0435402393341064": 142, "0435445308685303": 142, "04355400800704956": 142, "0435705184936523": 142, "0435733795166": 142, "04357561096549034": 142, "04357591271400452": 142, "043579790741205215": 142, "043593406677246": 142, "043601989746094": 142, "0436100959777832": 142, "043611764907837": 142, "0436255931854248": 142, "04363909736275673": 142, "04364013671875": 142, "043664932250977": 142, "0436756610870361": 142, "0436763763427734": 142, "0436863899230957": 142, "043701171875": 142, "04370498284697533": 142, "043715476989746": 142, "043715953826904": 142, "0437276363372803": 142, "0437538623809814": 142, "043757438659668": 142, "04376455768942833": 142, "043765317648649216": 142, "0437674522399902": 142, "043788194656372": 142, "043790340423584": 142, "0438": 154, "0438189506530762": 142, "0438315868377686": 142, "0438480377197266": 142, "043849229812622": 142, "043851852416992": 142, "043869018554688": 142, "0439324378967285": 142, "0439350605010986": 142, "04394464194774628": 142, "0439481735229492": 142, "043959140777588": 142, "043960571289062": 142, "043962478637695": 142, "043970108032227": 142, "0439887046813965": 142, "043989658355713": 142, "0439975261688232": 142, "043e1e0b0cce64c62f01a8563dbc3178": 130, "044011116027832": 142, "0440154075622559": 142, "0440218448638916": 142, "044033050537109": 142, "044044017791748": 142, "044044494628906": 142, "0440468788146973": 142, "04405975341797": 142, "04408860206604": 142, "04409889504313469": 142, "04410078004002571": 142, "0441076755523682": 142, "0441086292266846": 142, "0441093444824219": 142, "0441124439239502": 142, "044114597141742706": 142, "044119358062744": 142, "044134803116321564": 142, "0441744327545166": 142, "0442023277282715": 142, "0442249774932861": 142, "0442278385162354": 142, "0442445278167725": 142, "04425048828125": 142, "044250726699829": 142, "04425594583153725": 142, "0442731380462646": 142, "0442771911621094": 142, "044299602508545": 142, "0443": 139, "044302236288785934": 142, "044325828552246": 142, "044328689575195": 142, "04432876035571098": 142, "04433250427246": 142, "044340748339891434": 142, "04435133934021": 142, "0443549156188965": 142, "0443930625915527": 142, "0443987846374512": 142, "0444": 139, "0444045066833496": 142, "044408798217773": 142, "04441490396857262": 142, "044456131756305695": 142, "044461727142334": 142, "0444726943969727": 142, "0444824695587158": 142, "0445": 147, "04452799633145332": 142, "0445375442504883": 142, "0445563793182373": 142, "04456214979290962": 142, "0445623397827148": 142, "044566631317139": 142, "04456678405404091": 142, "044591955840587616": 142, "04459354281425476": 142, "0445983409881592": 142, "0446043014526367": 142, "0446276664733887": 142, "044631004333496": 142, "0446412563323975": 142, "04464340209961": 142, "0446479320526123": 142, "044652946293354034": 142, "044669028371572495": 142, "0446810722351074": 142, "0446834564208984": 142, "04468536376953": 142, "0446958541870117": 142, "044710159301758": 142, "0447194576263428": 142, "0447204113006592": 142, "044722557067871": 142, "0447461605072021": 142, "0447466373443604": 142, "04474679008126259": 142, "0447592735290527": 142, "04476238787174225": 142, "04478037729859352": 142, "04478246346116066": 142, "0447940826416016": 142, "044801950454712": 142, "0448179692029953": 142, "0448293685913086": 142, "044837236404419": 142, "044837474822998": 142, "0448577404022217": 142, "04487490653991699": 142, "04488754272461": 142, "044893264770508": 142, "0449": 147, "0449068546295166": 142, "0449144840240479": 142, "044924259185791": 142, "044945240020752": 142, "044952392578125": 142, "0449533462524414": 142, "044953860342502594": 142, "044968843460083": 142, "044971466064453": 142, "0449855327606201": 142, "045": [132, 147, 157], "0450055599212646": 142, "045013438910245895": 142, "0450377464294434": 142, "0450382232666016": 142, "045046329498291": 142, "04506997391581535": 142, "045085664838552475": 142, "045088719576597214": 142, "045125961303711": 142, "045141220092773": 142, "0451457500457764": 142, "045148849487305": 142, "04514937847852707": 142, "045154571533203": 142, "0451617240905762": 142, "045166969299316": 142, "0451698303222656": 142, "0451984405517578": 142, "0452115535736084": 142, "045226097106934": 142, "045256972312927246": 142, "045276641845703": 142, "0452795028686523": 142, "0453221797943115": 142, "0453264713287354": 142, "0453295707702637": 142, "0453314781188965": 142, "0453424453735352": 142, "045343171805143356": 142, "0453462600708008": 142, "0453660488128662": 142, "045372486114502": 142, "045382022857666": 142, "0454044342041": 142, "045440912246704": 142, "0454413890838623": 142, "045447587966919": 142, "0454514026641846": 142, "045464038848877": 142, "0454673767089844": 142, "04546838998794556": 142, "045480728149414": 142, "04548487812280655": 142, "0454885959625244": 142, "04549385979771614": 142, "04550552368164": 142, "0455358028411865": 142, "0455479621887207": 142, "0455615520477295": 142, "0455925464630127": 142, "0455942153930664": 142, "04560009762644768": 142, "045612335205078": 142, "0456256866455078": 142, "045664671808481216": 142, "045673847198486": 142, "0456857681274414": 142, "045689582824707": 142, "0456976890563965": 142, "0457122325897217": 142, "0457265377044678": 142, "0457403659820557": 142, "0457406044006348": 142, "0457484722137451": 142, "045750379562378": 142, "0457582473754883": 142, "0457775592803955": 142, "0457823276519775": 142, "0457990169525146": 142, "045804977416992": 142, "045805856585502625": 142, "0458149909973145": 142, "045825958251953": 142, "0458455085754395": 142, "045912265777588": 142, "0459177494049072": 142, "04592033848166466": 142, "045928955078125": 142, "04594692960381508": 142, "0459518432617188": 142, "0459544658660889": 142, "0459709167480469": 142, "0459809303283691": 142, "04598351940512657": 142, "045985460281372": 142, "045992136001587": 142, "0459952354431152": 142, "046": 147, "0460007190704346": 142, "046010494232178": 142, "04607000946998596": 142, "04607391357422": 142, "0460751056671143": 142, "0460867881774902": 142, "0461006164550781": 142, "0461008548736572": 142, "046125888824463": 142, "046131610870361": 142, "04613419622182846": 142, "046135425567627": 142, "0461368560791016": 142, "046142578125": 142, "046144962310791": 142, "0461506843566895": 142, "0461556911468506": 142, "046172857284546": 142, "04619578644633293": 142, "04621478170156479": 142, "046215295791626": 142, "0462429523468018": 142, "046255111694336": 142, "04626065120100975": 142, "0462744235992432": 142, "04627799987793": 142, "04630027711391449": 142, "04632125794887543": 142, "046351432800293": 142, "0463588237762451": 142, "0463638305664062": 142, "0463643074035645": 142, "0463690757751465": 142, "046384811401367": 142, "04638572409749031": 142, "04638671875": 142, "046397872269153595": 142, "046424150466919": 142, "046444416046143": 142, "0464560985565186": 142, "0464787483215332": 142, "04649180918931961": 142, "0464956760406494": 142, "046505928039551": 142, "04651641845703": 142, "0465219020843506": 142, "0465285778045654": 142, "04653283581137657": 142, "0465359687805176": 142, "046539068222046": 142, "046546220779419": 142, "0465526580810547": 142, "0465633869171143": 142, "0465736389160156": 142, "0465900897979736": 142, "046640396118164": 142, "046642303466797": 142, "046677827835083": 142, "0466814041137695": 142, "046716690063477": 142, "04672062397003174": 142, "046722173690796": 142, "04672745615243912": 142, "0467398166656494": 142, "046740759164094925": 142, "0467464923858643": 142, "046752691268921": 142, "046776533126831": 142, "0467772483825684": 142, "0467958450317383": 142, "0468065738677979": 142, "04681079834699631": 142, "04684478044509888": 142, "04684963": 151, "0468730926513672": 142, "0468788146972656": 142, "0469002723693848": 142, "0469105243682861": 142, "046925824135541916": 142, "0469350814819336": 142, "046940803527832": 142, "0469424724578857": 142, "0469715595245361": 142, "047": [132, 147, 157], "0470049381256104": 142, "047006368637085": 142, "0470197200775146": 142, "0470237731933594": 142, "0470247268676758": 142, "0470259189605713": 142, "04705286026001": 142, "0470561981201172": 142, "0470566749572754": 142, "047060012817383": 142, "0470664501190186": 142, "0470871925354004": 142, "047100067138672": 142, "0471315383911133": 142, "04715157672762871": 142, "047156788408756256": 142, "0471599102020264": 142, "047175996005535126": 142, "047178268432617": 142, "04718017578125": 142, "0471839904785156": 142, "047189343720674515": 142, "047205924987793": 142, "04721112549304962": 142, "0472116470336914": 142, "047229290008545": 142, "04722969979047775": 142, "0472331047058105": 142, "047237396240234": 142, "04723864793777466": 142, "04724399372935295": 142, "04725512117147446": 142, "0472636222839355": 142, "0472800731658936": 142, "047299861907959": 142, "0473": [147, 149], "047300100326538": 142, "047335147857666": 142, "047340393066406": 142, "0473580360412598": 142, "04736645892262459": 142, "047376133501529694": 142, "0473802089691162": 142, "0473809242248535": 142, "0473952293395996": 142, "047412872314453": 142, "047415364533662796": 142, "0474281311035156": 142, "0474374294281006": 142, "0474376678466797": 142, "047471523284912": 142, "0475006103515625": 142, "047504186630249": 142, "04750657081604": 142, "0475313663482666": 142, "0475373268127441": 142, "047555923461914": 142, "04755694419145584": 142, "04756736755371": 142, "0475893020629883": 142, "0476": 154, "0476102828979492": 142, "0476136207580566": 142, "0476369857788086": 142, "047640323638916016": 142, "04764143377542496": 142, "047642469406128": 142, "04765227809548378": 142, "0476529598236084": 142, "047670364379883": 142, "047698974609375": 142, "0477": [147, 154], "04771342873573303": 142, "04772121086716652": 142, "0477380752563477": 142, "0477485656738281": 142, "047755241394043": 142, "04775530844926834": 142, "047765731811523": 142, "0477707386016846": 142, "0477862358093262": 142, "047788381576538": 142, "04779627174139023": 142, "0478119850158691": 142, "04781939089298248": 142, "0478460788726807": 142, "0478618144989014": 142, "047893524169922": 142, "047917366027832": 142, "0479204654693604": 142, "0479207038879395": 142, "047924041748047": 142, "04792594909668": 142, "0479283332824707": 142, "0479402542114258": 142, "0479590892791748": 142, "0479846000671387": 142, "047990322113037": 142, "048": 147, "0480260848999023": 142, "0480475425720215": 142, "048048973083496": 142, "048053503036499": 142, "0480754375457764": 142, "0480923652648926": 142, "048095703125": 142, "04810812696814537": 142, "04812222346663475": 142, "048124607652425766": 142, "04812878742814064": 142, "0481376647949219": 142, "0481410026550293": 142, "0481412410736084": 142, "04814966768026352": 142, "0481603145599365": 142, "0481877326965332": 142, "04819655418396": 142, "0482": [147, 149], "048206806182861": 142, "04820684716105461": 142, "048232078552246": 142, "0482468605041504": 142, "048252820968628": 142, "048264503479004": 142, "0482661724090576": 142, "04827721789479256": 142, "0482861995697021": 142, "0482900142669678": 142, "048290729522705": 142, "04829665645956993": 142, "048297882080078": 142, "0483005046844482": 142, "0483145713806152": 142, "04831594601273537": 142, "04831886291504": 142, "04833010211586952": 142, "048362962901592255": 142, "0483810901641846": 142, "048385459929704666": 142, "0484061241149902": 142, "0484267994761467": 142, "0484271049499512": 142, "048442840576172": 142, "0484468936920166": 142, "048448022454977036": 142, "0484519004821777": 142, "0484588146209717": 142, "048469867557287216": 142, "0484819412231445": 142, "048495251685380936": 142, "04849624633789": 142, "0485014915466309": 142, "048507690429688": 142, "04851722717285": 142, "048546552658081": 142, "0485546588897705": 142, "0485715866088867": 142, "04857635498047": 142, "0486035346984863": 142, "048615191131830215": 142, "0486271381378174": 142, "048629760742188": 142, "04864501953125": 142, "0486462116241455": 142, "04865337535738945": 142, "04865937680006027": 142, "0486652851104736": 142, "0486705303192139": 142, "048671007156372": 142, "048680588603019714": 142, "0487": 153, "04871368408203": 142, "0487151145935059": 142, "0487182140350342": 142, "048721313476562": 142, "0487401485443115": 142, "048746109008789": 142, "048767328262329": 142, "048774242401123": 142, "0488171577453613": 142, "0488300323486328": 142, "0488331317901611": 142, "04886068031191826": 142, "0488760471343994": 142, "048892974853516": 142, "0488970279693604": 142, "0489130020141602": 142, "04892110824585": 142, "048931360244751": 142, "0489556789398193": 142, "0489845275878906": 142, "048994064331055": 142, "049026489257812": 142, "0490520000457764": 142, "049053192138672": 142, "0490608215332031": 142, "04907199367880821": 142, "0490787029266357": 142, "0490915775299072": 142, "0490953922271729": 142, "04910023882985115": 142, "0491349697113037": 142, "049142837524414": 142, "0491480827331543": 142, "04915087670087814": 142, "049152374267578": 142, "0491573810577393": 142, "049191474914551": 142, "049198467284440994": 142, "0492000579833984": 142, "0492045879364014": 142, "0492136478424072": 142, "0492181777954102": 142, "049238204956055": 142, "049256518483161926": 142, "0492722988128662": 142, "0492737293243408": 142, "0492761135101318": 142, "049290657043457": 142, "04929780960083": 142, "0493083000183105": 142, "04933452606201172": 142, "0493378639221191": 142, "049338340759277": 142, "0493533611297607": 142, "049365758895874": 142, "0493812561035156": 142, "0493848323822021": 142, "0493905544281006": 142, "04939480498433113": 142, "0494": 139, "0494232177734375": 142, "049447774887085": 142, "0494587421417236": 142, "049470901489258": 142, "04952766373753548": 142, "0495378971099854": 142, "0495433807373047": 142, "049544334411621": 142, "0495831966400146": 142, "04958692565560341": 142, "049612045288086": 142, "0496211051940918": 142, "0496413707733154": 142, "049648284912109": 142, "0496630668640137": 142, "049666166305542": 142, "049670934677124": 142, "0496716499328613": 142, "0496811866760254": 142, "0496902465820312": 142, "0497": 154, "049705982208252": 142, "049738883972168": 142, "049741268157959": 142, "0497419834136963": 142, "0497660636901855": 142, "049789428710938": 142, "049796316772699356": 142, "0498": 153, "049802303314209": 142, "049808979034424": 142, "049816131591797": 142, "0498199462890625": 142, "0498223304748535": 142, "04982566833496": 142, "0498344898223877": 142, "0498433113098145": 142, "0498440265655518": 142, "049853801727295": 142, "04986878111958504": 142, "04987990856170654": 142, "0498840808868408": 142, "049891710281372": 142, "0498933792114258": 142, "0499212741851807": 142, "04994123429059982": 142, "0499510765075684": 142, "04995109885931015": 142, "0499694347381592": 142, "049997091293335": 142, "04e": 147, "04m": 134, "05": [36, 38, 40, 106, 134, 142, 144, 147, 149, 151, 153, 154, 156], "050": 147, "0500211715698242": 142, "050032138824463": 142, "050051212310791": 142, "050055742263794": 142, "0500717163085938": 142, "050088491290807724": 142, "0500953197479248": 142, "050095796585083": 142, "0501224994659424": 142, "050138309597969055": 142, "0501384735107422": 142, "0501482486724854": 142, "050183296203613": 142, "050186727195978165": 142, "050188064575195": 142, "050203323364258": 142, "050207138061523": 142, "05021483451128006": 142, "050217628479004": 142, "0502371788024902": 142, "0502417087554932": 142, "05025053024292": 142, "0502562522888184": 142, "0502753257751465": 142, "0502841472625732": 142, "050297498703003": 142, "0503": 154, "0503005981445312": 142, "050315856933594": 142, "050315890461206436": 142, "0503242015838623": 142, "0503463745117188": 142, "0503573417663574": 142, "0503630638122559": 142, "050373077392578": 142, "050379753112793": 142, "0503816604614258": 142, "0503885746002197": 142, "05039644241333": 142, "05040144547820091": 142, "050417184829712": 142, "050435543060303": 142, "050443172454834": 142, "050449371337891": 142, "050453186035156": 142, "0504539012908936": 142, "050461292266846": 142, "050473928451538": 142, "050480604171753": 142, "0505120754241943": 142, "050513744354248": 142, "0505270957946777": 142, "050567626953125": 142, "0505728721618652": 142, "05057716369629": 142, "0505805015563965": 142, "0506": 154, "05061505734920502": 142, "0506153106689453": 142, "05062929913401604": 142, "050634384155273": 142, "0506470203399658": 142, "05065508559346199": 142, "0506789684295654": 142, "0506858825683594": 142, "05069136247038841": 142, "05070507898926735": 142, "0507383346557617": 142, "05075816065073013": 142, "050762414932251": 142, "0507802963256836": 142, "05079834535717964": 142, "050799980759620667": 142, "05080246925354": 142, "050808027386665344": 142, "0508105754852295": 142, "0508115328848362": 142, "0508205890655518": 142, "0508296489715576": 142, "050832986831665": 142, "05086088180542": 142, "050872802734375": 142, "0508770942687988": 142, "0508790016174316": 142, "050896406173706": 142, "050915002822876": 142, "0509157180786133": 142, "05091727152466774": 142, "050926633179187775": 142, "050926685333252": 142, "050929307937622": 142, "050945281982422": 142, "050948143005371": 142, "0509541034698486": 142, "050961971282959": 142, "0509636402130127": 142, "05096619948744774": 142, "050966262817383": 142, "050971508026123": 142, "0509791374206543": 142, "0509867668151855": 142, "0509965419769287": 142, "05100483447313309": 142, "0510163307189941": 142, "051039695739746": 142, "0510399341583252": 142, "051040649414062": 142, "0510859489440918": 142, "0511": [139, 154], "051131010055542": 142, "0511329174041748": 142, "0511548519134521": 142, "051156893372535706": 142, "0511670112609863": 142, "051173210144043": 142, "0511982440948486": 142, "0512166023254395": 142, "0512237548828125": 142, "0512256622314453": 142, "0512266159057617": 142, "051229238510132": 142, "0512311458587646": 142, "05123595893383026": 142, "0512828826904297": 142, "0512e": 148, "0513": [147, 149], "05130228027701378": 142, "0513079166412354": 142, "051328659057617": 142, "0513529777526855": 142, "051372766494751": 142, "05137300491333008": 142, "0513794422149658": 142, "0513803958892822": 142, "0513973236083984": 142, "051422119140625": 142, "0514228343963623": 142, "051425933837891": 142, "051438808441162": 142, "0514605045318604": 142, "0515124797821045": 142, "051515579223633": 142, "051534652709961": 142, "051569938659668": 142, "051581744104623795": 142, "0515823364257812": 142, "0515837669372559": 142, "051586627960205": 142, "0515899658203125": 142, "0516071319580078": 142, "0516231060028076": 142, "0516233444213867": 142, "051631927490234": 142, "05164529010653496": 142, "0516533851623535": 142, "0516834259033203": 142, "0516889095306396": 142, "05168987065553665": 142, "051691055297852": 142, "05169140174984932": 142, "0516953468322754": 142, "0516993999481201": 142, "05170794576406479": 142, "051711082458496": 142, "051712036132812": 142, "0517194271087646": 142, "051727294921875": 142, "0517408847808838": 142, "0517513751983643": 142, "051762580871582": 142, "0517635345459": 142, "051792860031128": 142, "051830075681209564": 142, "0518314838409424": 142, "0518336296081543": 142, "051843166351318": 142, "0518548488616943": 142, "051860809326172": 142, "051871299743652": 142, "0518817901611328": 142, "0518825054168701": 142, "051883697509766": 142, "0519": 154, "051904678344727": 142, "0519065856933594": 142, "051917314529419": 142, "051927089691162": 142, "0519356727600098": 142, "0519390106201172": 142, "0519537925720215": 142, "0519561767578125": 142, "051971673965454": 142, "051985263824463": 142, "05199893191456795": 142, "052": 147, "05201278626918793": 142, "0520148277282715": 142, "0520224571228027": 142, "052030086517334": 142, "0520892143249512": 142, "0520963668823242": 142, "05210474506020546": 142, "0521271228790283": 142, "052157878875732": 142, "0521740913391113": 142, "0521907806396484": 142, "05219176411628723": 142, "0522141456604004": 142, "0522282123565674": 142, "052246332168579": 142, "0522496700286865": 142, "0522549152374268": 142, "0522711277008057": 142, "052272081375122": 142, "05228865519165993": 142, "0523076057434082": 142, "052322667092084885": 142, "0523278713226318": 142, "0523440837860107": 142, "052347224205732346": 142, "0523583889007568": 142, "0523862838745117": 142, "0524": 147, "052404403686523": 142, "052424430847168": 142, "0524263381958008": 142, "0524346828460693": 142, "052443027496338": 142, "052471399307251": 142, "05248730629682541": 142, "0524942874908447": 142, "05249517410993576": 142, "0525050163269043": 142, "052516460418701": 142, "0525338277220726": 142, "0525434017181396": 142, "052543640136719": 142, "05256446823477745": 142, "052570104598999": 142, "0525708198547363": 142, "052574157714844": 142, "052579402923584": 142, "05262470990419388": 142, "0526647567749023": 142, "05269193649292": 142, "0527": 154, "0527105331420898": 142, "0527114868164062": 142, "052717685699463": 142, "05274447798728943": 142, "05274476855993271": 142, "0527513027191162": 142, "052762985229492": 142, "0527703762054443": 142, "052791118621826": 142, "052807807922363": 142, "0528192520141602": 142, "052823543548584": 142, "0528342723846436": 142, "05285453423857689": 142, "052857875823975": 142, "052861213684082": 142, "0528619289398193": 142, "052877426147461": 142, "052879393100738525": 142, "0528826713562012": 142, "052891492843628": 142, "0529146194458008": 142, "0529155731201172": 142, "0529162883758545": 142, "0529227256774902": 142, "052964165806770325": 142, "052980899810791": 142, "05299711227417": 142, "053003087639808655": 142, "0530133247375488": 142, "053035736083984": 142, "05304479598999": 142, "05305814743042": 142, "05306491255760193": 142, "053069829940796": 142, "0530757904052734": 142, "0530900955200195": 142, "0530e": 147, "05313589423894882": 142, "053140640258789": 142, "053140694222621": 142, "053140694222622": 142, "0531406942226225": 142, "053154468536377": 142, "0531601905822754": 142, "053171157836914": 142, "0531728267669678": 142, "0532050132751465": 142, "053211696445941925": 142, "0532431602478027": 142, "053246259689331": 142, "053313035517930984": 142, "0533246994018555": 142, "0533251762390137": 142, "0533499717712402": 142, "05335235595703": 142, "0533738136291504": 142, "0533740520477295": 142, "0533814430236816": 142, "05338423326611519": 142, "0534007549285889": 142, "053408145904541": 142, "0534186363220215": 142, "053426362574100494": 142, "053428053855895996": 142, "053467035293579": 142, "0534803569316864": 142, "053508758544922": 142, "0535194873809814": 142, "053532361984253": 142, "0535378456115723": 142, "053570032119751": 142, "053573608398438": 142, "053579330444336": 142, "053580284118652": 142, "0535845756530762": 142, "053597450256348": 142, "053611550480127335": 142, "0536284446716309": 142, "0536296367645264": 142, "053630828857422": 142, "0536389350891113": 142, "0536456108093262": 142, "0536651611328125": 142, "05368375405669212": 142, "05368423461914": 142, "053712844848633": 142, "0537199974060059": 142, "053736686706543": 142, "0537397861480713": 142, "05375317484140396": 142, "0537731647491455": 142, "05377497524023056": 142, "05378301069140434": 142, "0537834167480469": 142, "0537879467010498": 142, "0538215637207031": 142, "05384135618805885": 142, "053856611251831": 142, "053858757019043": 142, "053861618041992": 142, "0538699626922607": 142, "053893804550171": 142, "0539": 147, "053910255432129": 142, "05391043424606323": 142, "053931474685669": 142, "0539462566375732": 142, "0539534091949463": 142, "0539748668670654": 142, "0539815425872803": 142, "0539817810058594": 142, "0539844036102295": 142, "05405044555664": 142, "0540518760681152": 142, "0540716648101807": 142, "054092407226562": 142, "0541": [147, 149], "0541086196899414": 142, "05411547049880028": 142, "054117202758789": 142, "05412345752120018": 142, "054125785827637": 134, "05414611101150513": 142, "05415980517864227": 142, "0541691780090332": 142, "05417675897479057": 142, "0542020797729492": 142, "05420629680156708": 142, "0542104244232178": 142, "0542175769805908": 142, "0542247295379639": 142, "054248809814453": 142, "0542588233947754": 142, "054262399673462": 142, "0542945861816406": 142, "054314643144607544": 142, "0543177127838135": 142, "054318428039551": 142, "05432116985321045": 142, "054335117340088": 142, "05436097830533981": 142, "05436891317367554": 142, "0543944835662842": 142, "0544047355651855": 142, "054418087005615": 142, "0544509887695312": 142, "054455280303955": 142, "0544750690460205": 142, "05448487773537636": 142, "0544893741607666": 142, "054498665034770966": 142, "054502248764038": 142, "0545272827148438": 142, "054527282714844": 142, "0545318126678467": 142, "054537296295166": 142, "054558124393224716": 142, "05457715690135956": 142, "0545790195465088": 142, "05458664894104": 142, "0545954704284668": 142, "05463218688965": 142, "054641723632812": 142, "054652214050293": 142, "0546691417694092": 142, "054687261581421": 142, "054704189300537": 142, "054727885872125626": 142, "0547351837158203": 142, "0547599792480469": 142, "054774522781372": 142, "054776668548584": 142, "0547800064086914": 142, "0547988414764404": 142, "0548": [147, 149], "0548038482666016": 142, "0548081398010254": 142, "0548396110534668": 142, "054853152483701706": 142, "0548577308654785": 142, "0548601150512695": 142, "0548627376556396": 142, "0548675060272217": 142, "0548954010009766": 142, "05489569902420044": 142, "0549209117889404": 142, "0549347400665283": 142, "0549371242523193": 142, "0549399852752686": 142, "0549404621124268": 142, "0549507141113281": 142, "05495798587799072": 142, "0549685955047607": 142, "05498787760734558": 142, "055": 147, "0550": [147, 149], "0550429821014404": 142, "05505902320146561": 142, "0550618171691895": 142, "0550763607025146": 142, "0550873279571533": 142, "0550878047943115": 142, "05510718747973442": 142, "055112361907959": 142, "055131435394287": 142, "0551466941833496": 142, "05515472590923309": 142, "0551564693450928": 142, "055166482925415": 142, "0551884174346924": 142, "055191993713379": 142, "055199384689331": 142, "0552077293395996": 142, "0552141666412354": 142, "05525803565979": 142, "055265426635742": 142, "055274963378906": 142, "05527687072754": 142, "055284023284912": 142, "0552871227264404": 142, "0552914142608643": 142, "055295705795288": 142, "05530114471912384": 142, "0553243160247803": 142, "0553359985351562": 142, "05535396561026573": 142, "05535624548792839": 142, "0553624629974365": 142, "0553722381591797": 142, "05537223815918": 142, "05539083853363991": 142, "0553929805755615": 142, "055397033691406": 142, "0554": 154, "055408239364624": 142, "05544545128941536": 142, "0554566383361816": 142, "055469036102295": 142, "0554712675511837": 142, "055480718612671": 142, "05549134686589241": 142, "0554955005645752": 142, "0555152893066406": 142, "0555212497711182": 142, "0555307865142822": 142, "055532932281494": 142, "0555479526519775": 142, "0555527210235596": 142, "0555577278137207": 142, "0555908679962158": 142, "0555942058563232": 142, "055611543357372284": 142, "05562686920166": 142, "055631157010793686": 142, "0556445121765137": 142, "0556769371032715": 142, "0556879043579102": 142, "05570242553949356": 142, "055711030960083": 142, "0557174682617188": 142, "0557482242584229": 142, "0557892322540283": 142, "0558": 154, "05580711364746": 142, "0558340549468994": 142, "0558383464813232": 142, "055868148803711": 142, "0558795928955078": 142, "0558946132659912": 142, "0559289455413818": 142, "055929183959961": 142, "0559508800506592": 142, "055957794189453": 142, "0559706687927246": 142, "0559790134429932": 142, "0559e": 147, "056": 147, "0560307502746582": 142, "0560359954833984": 142, "056039810180664": 142, "056046485900879": 142, "0560741424560547": 142, "0560839176177979": 142, "0560951232910156": 142, "0560989379882812": 142, "0561530590057373": 142, "056161411106586456": 142, "0561668872833252": 142, "056179046630859": 142, "0561997890472412": 142, "0562": [147, 149], "0562000274658203": 142, "0562026500701904": 142, "0562055110931396": 142, "0562100410461426": 142, "0562138557434082": 142, "056224822998047": 142, "0562255382537842": 142, "0562524795532227": 142, "05625581741333": 142, "0562782287597656": 142, "0562925338745117": 142, "05629539489746": 142, "0563075542449951": 142, "056317318230867386": 142, "056344747543335": 142, "056376371532678604": 142, "05637878179550171": 142, "056379795074463": 142, "056384563446045": 142, "0563969612121582": 142, "05640771985054016": 142, "056413650512695": 142, "056438446044922": 142, "056448221206665": 142, "0564665794372559": 142, "056467056274414": 142, "0564773082733154": 142, "0564842224121094": 142, "05649757385254": 142, "0564985275268555": 142, "0565104484558105": 142, "056541919708252": 142, "0565452575683594": 142, "056556224822998": 142, "056575775146484": 142, "056578703224658966": 142, "0565834045410156": 142, "056593894958496": 142, "05661392211914": 142, "0566205978393555": 142, "05664842575788498": 142, "0566775798797607": 142, "0566797256469727": 142, "0566985607147217": 142, "05672138184309006": 142, "0567255020141602": 142, "0567429065704346": 142, "056750256568193436": 142, "0567536354064941": 142, "056760549545288": 142, "056765556335449": 142, "056766510009766": 142, "0568": 139, "05681923031806946": 142, "0568318367004395": 142, "056833028793335": 142, "056838512420654": 142, "0568435192108154": 142, "0568647384643555": 142, "0568761825561523": 142, "05687713623047": 142, "0568773746490479": 142, "056886911392212": 142, "0568909645080566": 142, "0569074153900146": 142, "056910514831543": 142, "0569186210632324": 142, "0569207668304443": 142, "0569343566894531": 142, "0569512844085693": 142, "056984059512615204": 142, "056992530822754": 142, "05699639394879341": 142, "056996822357178": 142, "056998252868652": 142, "057": 147, "057004451751709": 142, "05701208114624": 142, "0570244789123535": 142, "0570347309112549": 142, "057040926069021225": 142, "057068824768066": 142, "057100534439087": 142, "057107925415039": 142, "0571081638336182": 142, "0571177005767822": 142, "0571260452270508": 142, "0571374893188477": 142, "0571393966674805": 142, "057149887084961": 142, "0571508407592773": 142, "057159662246704": 142, "0571765899658203": 142, "057183146476745605": 142, "0571842193603516": 142, "057199001312256": 142, "0572": 154, "057203769683838": 142, "057204972952604294": 142, "05720853805542": 142, "057215929031372": 142, "0572333335876465": 142, "05725860595703": 142, "057266235351562": 142, "0572726726531982": 142, "057283878326416": 142, "05729079246521": 142, "05729103088379": 142, "0573058128356934": 142, "057321786880493": 142, "057326316833496": 142, "0573337078094482": 142, "0573341846466064": 142, "057349447160959244": 142, "057352066040039": 142, "057373285293579": 142, "0573787689208984": 142, "0573883056640625": 142, "0573930740356445": 142, "057393983006477356": 142, "0574090480804443": 142, "05741286277771": 142, "057417631149292": 142, "057422399520874": 142, "057429552078247": 142, "057429660111665726": 142, "0574302673339844": 142, "0574333667755127": 142, "0574555397033691": 142, "057456970214844": 142, "0574588775634766": 142, "057472229003906": 142, "0574769973754883": 142, "0574827194213867": 142, "057491302490234": 142, "057497262954712": 142, "057521820068359": 142, "0575368404388428": 142, "057546854019165": 142, "05754859000444412": 142, "0575509071350098": 142, "0575530529022217": 142, "0575554370880127": 142, "057589150965213776": 142, "0575940608978271": 142, "0575969219207764": 142, "0576": [139, 154], "0576300621032715": 142, "057631015777588": 142, "0576324462890625": 142, "0576450824737549": 142, "0576467514038086": 142, "057647943496704": 142, "057649612426758": 142, "057652950286865": 142, "0576684474945068": 142, "05768023431301117": 142, "05769101157784462": 142, "0576987266540527": 142, "0577023029327393": 142, "0577025413513184": 142, "057706832885742": 142, "0577261447906494": 142, "057737112045288": 142, "057739019393921": 142, "057746410369873": 142, "0577592849731445": 142, "0577688217163086": 142, "0577712059020996": 142, "0577785968780518": 142, "05777907371521": 142, "057785034179688": 142, "057792901992798": 142, "0578174591064453": 142, "0578198432922363": 142, "0578410625457764": 142, "05784273147583": 142, "0578444004058838": 142, "057846546173096": 142, "0578501224517822": 142, "0578563213348389": 142, "0578632354736328": 142, "0578804016113281": 142, "0579": 154, "0579135417938232": 142, "057914674282073975": 142, "057938575744629": 142, "0579397678375244": 142, "0579414367675781": 142, "057958602905273": 142, "0579912662506104": 142, "058": [132, 134, 157], "058014154434204": 142, "0580222606658936": 142, "058039888739585876": 142, "0580437183380127": 142, "058064933866262436": 142, "0580673217773438": 142, "05810743570327759": 142, "0581161975860596": 142, "0581209659576416": 142, "0581347942352295": 142, "05813980102539": 142, "05814620479941368": 142, "0581591129302979": 142, "0581765174865723": 142, "0581817626953125": 142, "0582072734832764": 142, "058211088180542": 142, "058223724365234": 142, "0582363605499268": 142, "0582399368286133": 142, "058255910873413": 142, "0582594871520996": 142, "058260440826416": 142, "05826105549931526": 142, "0582654476165771": 142, "0582656860351562": 142, "0582818984985352": 142, "058287229388952255": 142, "05829630047082901": 142, "058305025100708": 142, "058336224406957626": 142, "0583407878875732": 142, "0583550930023193": 142, "0583577156066895": 142, "058363914489746": 142, "05836665257811546": 142, "0583701133728027": 142, "058370590209961": 142, "058375563472509384": 142, "0583810806274414": 142, "058399200439453": 142, "0583e": 148, "0584063529968262": 142, "0584068298339844": 142, "0584089569747448": 142, "0584309101104736": 142, "058432579040527": 142, "058454990386963": 142, "05847760662436485": 142, "05849440023303032": 142, "0585112571716309": 142, "0585391521453857": 142, "0585439205169678": 142, "0585618019104004": 142, "0585708618164062": 142, "0585758686065674": 142, "0585832595825195": 142, "0585963726043701": 142, "0585975646972656": 142, "0585999488830566": 142, "0586": 147, "0586016178131104": 142, "0586152076721191": 142, "058638334274292": 142, "0586402416229248": 142, "0586495399475098": 142, "0586662292480469": 142, "058666229248047": 142, "058678150177002": 142, "0586848258972168": 142, "058694839477539": 142, "058705151081085205": 142, "0587146282196045": 142, "0587215423584": 142, "058725118637085": 142, "0587255954742432": 142, "058734893798828": 142, "058735769242048264": 142, "0587468147277832": 142, "0587518215179443": 142, "058753252029419": 142, "0587682723999023": 142, "0587821006774902": 142, "0587854385375977": 142, "0587968826293945": 142, "0587971210479736": 142, "0588": [147, 149], "0588016510009766": 142, "0588274": 133, "0588314533233643": 142, "0588319301605225": 142, "058838967233896255": 142, "058842420578003": 142, "058847427368164": 142, "058850545436143875": 142, "0588560104370117": 142, "058868408203125": 142, "058870315551758": 142, "05888295173645": 142, "0588927268981934": 142, "0588936805725098": 142, "0589": 154, "058906555175781": 142, "05891657993197441": 142, "0589206218719482": 142, "05894462391734123": 142, "058948040008545": 142, "0589540004730225": 142, "058961868286133": 142, "0589783191680908": 142, "058978796005249": 142, "05898316577076912": 142, "0589895248413086": 142, "059": 139, "059005737304688": 142, "059018224477767944": 142, "0590198040008545": 142, "059025682508945465": 142, "0590264797210693": 142, "059072732925415": 142, "0590763092041": 142, "059086799621582": 142, "0590903759002686": 142, "0590975284576416": 142, "05909951776266098": 142, "05911170318722725": 142, "059124231338501": 142, "059126853942871": 142, "0591294765472412": 142, "0591599941253662": 142, "0591871738433838": 142, "059208869934082": 142, "059236764907837": 142, "0592539310455322": 142, "059255838394165": 142, "059256553649902": 142, "0592684745788574": 142, "059279441833496": 142, "0592844486236572": 142, "0592849254608154": 142, "0592947006225586": 142, "059295892715454": 142, "0593054294586182": 142, "059312105178833": 142, "05931433290243149": 142, "0593171119689941": 142, "0593295097351074": 142, "059366416186094284": 142, "05936861038208": 142, "0593740940093994": 142, "0593810081481934": 142, "0593886375427246": 142, "0594": 139, "0594019889831543": 142, "0594336986541748": 142, "0594441890716553": 142, "0594532489776611": 142, "059457778930664": 142, "0594615936279297": 142, "0594770908355713": 142, "059494972229004": 142, "0595": [139, 144], "0595009326934814": 142, "0595121383666992": 142, "0595207214355469": 142, "059555053710938": 142, "059556007385254": 142, "0595588684082031": 142, "05957790091633797": 142, "05958974361419678": 142, "059598922729492": 142, "0596098899841309": 142, "059616088867188": 142, "0596184730529785": 142, "05963134765625": 142, "059640645980835": 142, "059647560119629": 142, "0596487522125244": 142, "0596766471862793": 142, "059684526175260544": 142, "059699535369873": 142, "0597": 154, "059708833694458": 142, "0597186088562012": 142, "059720993041992": 142, "059755325317383": 142, "0597569942474365": 142, "0597648620605469": 142, "0597984790802002": 142, "0598011016845703": 142, "059826135635376": 142, "059828758239746": 142, "0598397254943848": 142, "059844970703125": 142, "059869810938835144": 142, "0598914623260498": 142, "0598955154418945": 142, "0599": 154, "059900283813477": 142, "0599064826965332": 142, "0599102973937988": 142, "059927225112915": 142, "0599370002746582": 142, "0599617958068848": 142, "0599703788757324": 142, "059971809387207": 142, "05997633934021": 142, "05e": 147, "05it": [147, 153], "05m": 134, "05mb": 134, "06": [133, 134, 139, 142, 147, 149, 153, 154, 157], "0600066184997559": 142, "060008350759744644": 142, "0600121021270752": 142, "0600218772888184": 142, "0600452423095703": 142, "060047149658203": 142, "0600528717041016": 142, "060066223144531": 142, "06006661057472229": 142, "0600743293762207": 142, "0601005554199219": 142, "060112714767456": 142, "0601177215576172": 142, "060123443603516": 142, "060126543045044": 142, "06012880802154541": 142, "060140609741211": 142, "0601444244384766": 142, "06016622856259346": 142, "0601727962493896": 142, "0601880550384521": 142, "0601882934570312": 142, "0601942539215088": 142, "06019926071167": 142, "0602049827575684": 142, "060205459594727": 142, "0602185726165771": 142, "06023872271180153": 142, "0602390766143799": 142, "0602474212646484": 142, "0602495670318604": 142, "0602531433105469": 142, "0602753162384033": 142, "06028737127780914": 142, "0603": 144, "0603022575378418": 142, "0603232383728027": 142, "0603291988372803": 142, "0603375434875488": 142, "0603420734405518": 142, "0603582859039307": 142, "0603585243225098": 142, "0603830814361572": 142, "0603845119476318": 142, "0603868961334229": 142, "060392379760742": 142, "0603954792022705": 142, "060400009155273": 142, "0604135990142822": 142, "0604193210601807": 142, "060434818267822": 142, "060452938079834": 142, "06046319380402565": 142, "0604784488677979": 142, "0605006217956543": 142, "0605113506317139": 142, "060520887374878": 142, "0605242252349854": 142, "0605316162109375": 142, "0605347156524658": 142, "060542106628418": 142, "0605688095092773": 142, "060589075088501": 142, "060598373413086": 142, "0606181621551514": 142, "0606324672698975": 142, "0606391429901123": 142, "060650110244751": 142, "0606575012207031": 142, "0606589317321777": 142, "0606629848480225": 142, "0606658458709717": 142, "060666561126709": 142, "0606770515441895": 142, "0606820583343506": 142, "0606849193572998": 142, "0606858730316162": 142, "060692548751831": 142, "060715675354004": 142, "060715913772583": 142, "0607330799102783": 142, "0607836246490479": 142, "0607876777648926": 142, "060788631439209": 142, "060791015625": 142, "0608": 154, "0608043670654297": 142, "0608060359954834": 142, "060807228088379": 142, "0608208365211214": 132, "0608510971069336": 142, "0608551502227783": 142, "060855865478516": 142, "0608575344085693": 142, "0608603954315186": 142, "0608675479888916": 142, "06086825579404831": 142, "0609064102172852": 142, "0609283447265625": 142, "0609300136566162": 142, "060931921005249": 142, "060932159423828": 142, "0609338283538818": 142, "0609359741210938": 142, "060948371887207": 142, "060960762202739716": 142, "0609643459320068": 142, "0609850883483887": 142, "060986798256635666": 142, "0609984397888184": 142, "061007022857666": 142, "0610079765319824": 142, "0610120296478271": 142, "0610136985778809": 142, "06103515625": 142, "0610592365264893": 142, "0610604286193848": 142, "061071395874023": 142, "061079025268555": 142, "061079978942871": 142, "06109046936035": 142, "0610978603363037": 142, "0611181259155273": 142, "06112850084900856": 142, "0611310005187988": 142, "06114387512207": 142, "0611438751220703": 142, "061152458190918": 142, "0611557960510254": 142, "061183452606201": 142, "0611834526062012": 142, "0612": 144, "061204195022583": 142, "0612196922302246": 142, "0612297058105469": 142, "061239242553711": 142, "0612421035766602": 142, "0612473227083683": 142, "0612609386444092": 142, "0612702369689941": 142, "0612857341766357": 142, "0613219738006592": 142, "0613291263580322": 142, "0613341331481934": 142, "0613439083099365": 142, "0613536834716797": 142, "0613539218902588": 142, "0613553524017334": 142, "06136703491211": 142, "0613741874694824": 142, "0613822937011719": 142, "0613837242126465": 142, "061386108398438": 142, "0613899230957031": 142, "061393409967422485": 142, "061394214630127": 142, "0614": [139, 147, 149], "0614004135131836": 142, "061405181884766": 142, "06140647083520889": 142, "0614075660705566": 142, "0614099502563477": 142, "0614142417907715": 142, "0614182949066162": 142, "0614287853240967": 142, "0614314079284668": 142, "0614547729492188": 142, "061460256576538": 142, "061473969370126724": 142, "0614831447601318": 142, "06149644777178764": 142, "06149673461914": 142, "061499118804932": 142, "0615112781524658": 142, "0615215301513672": 142, "0615227222442627": 142, "0615241527557373": 142, "061559677124023": 142, "061564922332764": 142, "061575889587402": 142, "0615825653076172": 142, "0615980625152588": 142, "0616": 154, "0616042613983154": 142, "0616204738616943": 142, "06162155419588089": 142, "0616216659545898": 142, "0616254806518555": 142, "061640977859497": 142, "0616450309753418": 142, "061655044555664": 142, "061664581298828": 142, "061669111251831": 142, "061669826507568": 142, "0616724491119385": 142, "06169276311993599": 142, "0616981983184814": 142, "061702728271484": 142, "0617079734802246": 142, "06172318756580353": 142, "061762809753418": 142, "0617690086364746": 142, "0617759227752686": 142, "0618": 154, "0618274211883545": 142, "0618290901184082": 142, "0618305206298828": 142, "0618364810943604": 142, "0618374347686768": 142, "0618412494659424": 142, "061842441558838": 142, "0618445873260498": 142, "0618462562561035": 142, "061849117279053": 142, "0618493556976318": 142, "0618581771850586": 142, "0618805885314941": 142, "0618910789489746": 142, "061901569366455": 142, "0619385242462158": 142, "061941146850586": 142, "061953067779541": 142, "06195831298828": 142, "06197738647461": 142, "061985969543457": 142, "062": [132, 147, 157], "0620274543762207": 142, "0620439052581787": 142, "0620486736297607": 142, "0620653629302979": 142, "06207275390625": 142, "0620782375335693": 142, "062079668045044": 142, "0620932579040527": 142, "0620994567871094": 142, "0621": [144, 153], "0621142387390137": 142, "062134265899658": 142, "0621402263641357": 142, "0621421337127686": 142, "0621442794799805": 142, "0621542930603027": 142, "062171220779419": 142, "0621755123138428": 142, "0621795654296875": 142, "062192678451538": 142, "062204122543335": 142, "0622062683105469": 142, "0622119903564453": 142, "062219619750977": 142, "0622539520263672": 142, "0622646808624268": 142, "062265396118164": 142, "0622656345367432": 142, "06227010861039162": 142, "0622739791870117": 142, "0622799396514893": 142, "0623071193695068": 142, "0623269081115723": 142, "0623373985290527": 142, "0623407363891602": 142, "062347650527954": 142, "0623528957366943": 142, "062361240386963": 142, "0623817443847656": 142, "0623900890350342": 142, "062399387359619": 142, "0624": 147, "0624032020568848": 142, "0624074935913086": 142, "0624206066131592": 142, "0624208450317383": 142, "062421798706055": 142, "0624291896820068": 142, "0624310970306396": 142, "06243324279785": 142, "0624487400054932": 142, "0624516010284424": 142, "06245231628418": 142, "062477111816406": 142, "0624842643737793": 142, "0624847412109375": 142, "062485694885254": 142, "0624887943267822": 142, "0625014305114746": 142, "0625183582305908": 142, "0625250339508057": 142, "062528133392334": 142, "06252855807542801": 142, "0625317096710205": 142, "0625443384051323": 142, "06254859268665314": 142, "062554121017456": 142, "0625691413879395": 142, "06257438659668": 142, "0625786781311035": 142, "06257937103509903": 142, "06259023398160934": 142, "0625915676355362": 142, "06260068714618683": 142, "062606811523438": 142, "062619686126709": 142, "0626294612884521": 142, "0626425743103027": 142, "0626492500305176": 142, "0626511573791504": 142, "0626928806304932": 142, "0627083778381348": 142, "0627093315124512": 142, "06271418929100037": 142, "0627233982086182": 142, "062729835510254": 142, "0627365112304688": 142, "0627453327178955": 142, "062751293182373": 142, "0627520084381104": 142, "0627589225769043": 142, "0628111362457275": 142, "0628151893615723": 142, "0628435611724854": 142, "0628540515899658": 142, "0628547668457031": 142, "0628845691680908": 142, "0628936290740967": 142, "0629005432128906": 142, "0629041194915771": 142, "0629258155822754": 142, "0629267692565918": 142, "062946081161499": 142, "0629591941833496": 142, "062972068786621": 142, "0629723072052002": 142, "0629851818084717": 142, "0630106925964355": 142, "0630125999450684": 142, "0630178451538086": 142, "06304012984037399": 142, "0630619525909424": 142, "063068389892578": 142, "0630719661712646": 142, "0630788803100586": 142, "063096523284912": 142, "0631108283996582": 142, "0631303787231445": 142, "063131332397461": 142, "06314319372177124": 142, "063161373138428": 142, "0631637573242188": 142, "0631709098815918": 142, "063183069229126": 142, "0631861686706543": 142, "0631864070892334": 142, "0632195472717285": 142, "0632264614105225": 142, "0632319375872612": 142, "06327223777771": 142, "0632741451263428": 142, "0632829666137695": 142, "0632851123809814": 142, "0632922649383545": 142, "063295841217041": 142, "06330011785030365": 142, "0633056163787842": 142, "0633113384246826": 142, "0633223056793213": 142, "0633313655853271": 142, "0633368492126465": 142, "0633504390716553": 142, "06336025893688202": 142, "0633738040924072": 142, "0633916854858398": 142, "0634047985076904": 142, "063408613204956": 142, "0634291023015976": 142, "063430786132812": 142, "063443660736084": 142, "0634441375732422": 142, "06346023082733154": 142, "063464641571045": 142, "0634665489196777": 142, "0634784698486328": 142, "06349919736385345": 142, "0635197162628174": 142, "0635316371917725": 142, "0635371208190918": 142, "063581466674805": 142, "063584327697754": 142, "0635876655578613": 142, "0635974407196045": 142, "0636003017425537": 142, "0636184215545654": 142, "0636188983917236": 142, "0636200904846191": 142, "0636327266693115": 142, "0636334419250488": 142, "0636398792266846": 142, "0636417865753174": 142, "063647985458374": 142, "0636744499206543": 142, "0636918693780899": 142, "06371696293354034": 142, "0637454986572266": 142, "0637493133544922": 142, "0637576580047607": 142, "0637733936309814": 142, "06377601623535": 142, "0638": 154, "0638179779052734": 142, "063825607299805": 142, "0638306140899658": 142, "0638370513916": 142, "0638458728790283": 142, "0638477802276611": 142, "0638532638549805": 142, "0638582706451416": 142, "0638611316680908": 142, "0638625621795654": 142, "0639002323150635": 142, "063901662826538": 142, "06390336155891418": 142, "0639164447784424": 142, "06392860412597656": 142, "06394323706626892": 142, "0639634132385254": 142, "0639691352844238": 142, "063988447189331": 142, "06399917602539": 142, "0640122890472412": 142, "06403350830078": 142, "0640342235565186": 142, "0640666484832764": 142, "0640738010406494": 142, "0640795230865479": 142, "064085483551025": 142, "0641169548034668": 142, "0641210079193115": 142, "0641409382224083": 142, "0641441345214844": 142, "0641465187072754": 142, "0641484260559082": 142, "0641639232635498": 142, "0641696453094482": 142, "064170837402344": 142, "0641887187957764": 142, "0642008781433105": 142, "0642096996307373": 142, "06422187387943268": 142, "064224243164062": 142, "064225196838379": 142, "0642263889312744": 142, "0642268657684326": 142, "0642318725585938": 142, "0642452239990234": 142, "0642523765563965": 142, "0642528533935547": 142, "064252853393555": 142, "0642540454864502": 142, "064271926879883": 142, "0642778873443604": 142, "0642931461334229": 142, "0642962455749512": 142, "0643045902252197": 142, "0643105506896973": 142, "064319133758545": 142, "0643212795257568": 142, "064342498779297": 142, "064344882965088": 142, "0643525123596191": 142, "0643582344055176": 142, "0643587112426758": 142, "0643699169158936": 142, "0643706321716309": 142, "0643765926361084": 142, "0643792152404785": 142, "064382553100586": 142, "064408779144287": 142, "0644152164459229": 142, "0644264221191406": 142, "0644290447235107": 142, "064441204071045": 142, "064441680908203": 142, "0644595623016357": 142, "0644643306732178": 142, "0644819736480713": 142, "0644843578338623": 142, "0644910335540771": 142, "0644912719726562": 142, "06449317932129": 142, "0644991397857666": 142, "0645": 154, "0645248889923096": 142, "0645251274108887": 142, "0645301342010498": 142, "0645413398742676": 142, "0645451545715332": 142, "064549207687378": 142, "0645651817321777": 142, "064573049545288": 142, "0645794868469238": 142, "0646030902862549": 142, "0646061897277832": 142, "06460952758789": 142, "064626693725586": 142, "0646271705627441": 142, "0646417140960693": 142, "064673662185669": 142, "064673900604248": 142, "0647070407867432": 142, "064714431762695": 142, "0647337436676025": 142, "0647735595703125": 142, "0647833347320557": 142, "0647869110107422": 142, "06479604542255402": 142, "0648009777069092": 142, "0648088455200195": 142, "0648365020751953": 142, "064866304397583": 142, "0648839473724365": 142, "0648865699768066": 142, "0648915767669678": 142, "0648987293243408": 142, "0649027824401855": 142, "0649068355560303": 142, "0649104118347168": 142, "0649120807647705": 142, "064920425415039": 142, "0649240016937256": 142, "064969539642334": 142, "064983606338501": 142, "0649878978729248": 142, "065": [139, 147], "0650019645690918": 142, "0650033950805664": 142, "0650262832641602": 142, "06503677368164": 142, "0650486946105957": 142, "0650498867034912": 142, "065056562423706": 142, "0650618076324463": 142, "0650646686553955": 142, "065093755722046": 142, "0650992393493652": 142, "0651025772094727": 142, "06510853767395": 142, "0651085376739502": 142, "0651161670684814": 142, "06513214111328": 142, "0651501789689064": 142, "0651519298553467": 142, "0651538372039795": 142, "0651559829711914": 142, "0651655197143555": 142, "0651657581329346": 142, "065167427062988": 142, "0651707649230957": 142, "0651798248291016": 142, "0651812553405762": 142, "0651826858520508": 142, "0651938915252686": 142, "065194606781006": 142, "0651981830596924": 142, "0652086734771729": 142, "0652127265930176": 142, "065221786499023": 142, "065244197845459": 142, "06526517868042": 142, "0652780532836914": 142, "0652859210968018": 142, "0652899742126465": 142, "0652978420257568": 142, "065330505371094": 142, "0653328895568848": 142, "0653433799743652": 142, "0653481483459473": 142, "06534828990697861": 142, "0653600692749023": 142, "0653858184814453": 142, "0654127597808838": 142, "065420150756836": 142, "06542094796895981": 142, "065432071685791": 142, "0654361248016357": 142, "0654394626617432": 142, "065441608428955": 142, "0654425621032715": 142, "06545090675354": 142, "0654520988464355": 142, "0654535293579102": 142, "065457820892334": 142, "065492868423462": 142, "06549552828073502": 142, "0655014514923096": 142, "065506935119629": 142, "0655231475830078": 142, "06552791595459": 142, "0655336380004883": 142, "0655403137207031": 142, "0656003952026367": 142, "06561279296875": 142, "0656304359436035": 142, "06564782559871674": 142, "0656511783599854": 142, "0656583309173584": 142, "0656609535217285": 142, "065669298171997": 142, "0656712055206299": 142, "0656983852386475": 142, "0656991004943848": 142, "065718173980713": 142, "0657312870025635": 142, "0657341480255127": 142, "0657384395599365": 142, "0657398700714111": 142, "0657408237457275": 142, "0657706260681152": 142, "0657713413238525": 142, "065773010253906": 142, "065779447555542": 142, "0657808780670166": 142, "0657942295074463": 142, "0658042430877686": 142, "065817832946777": 142, "0658349990844727": 142, "0658528804779053": 142, "0658621788024902": 142, "0658676624298096": 142, "0658698081970215": 142, "06588692218065262": 142, "06589126586914": 142, "0659089088439941": 142, "0659103393554688": 142, "065922737121582": 142, "065931797027588": 142, "0659363269805908": 142, "065955638885498": 142, "0659723281860352": 142, "0659737586975098": 142, "0659749507904053": 142, "0659830570220947": 142, "0659892559051514": 142, "0659949779510498": 142, "0659964084625244": 142, "065999507904053": 142, "0660052299499512": 142, "06601515412330627": 142, "0660367012023926": 142, "0660440921783447": 142, "066056489944458": 142, "0660583972930908": 142, "0660743713378906": 142, "066080093383789": 142, "06608548760414124": 142, "066091537475586": 142, "0660929679870605": 142, "06610189378261566": 142, "066112756729126": 142, "066120147705078": 142, "066136121749878": 142, "06614112854004": 142, "0661444664001465": 142, "0661578178405762": 142, "066171646118164": 142, "06617546081543": 142, "0661818981170654": 142, "066185": [147, 149], "06618669629096985": 142, "0662031173706055": 142, "06621020287275314": 142, "066216230392456": 142, "06622952222824097": 142, "0662314891815186": 142, "0662438869476318": 142, "0662498474121094": 142, "06624984741211": 142, "0662550926208496": 142, "0662562847137451": 142, "0662651062011719": 142, "0662732124328613": 142, "0662951469421387": 142, "06629753112793": 142, "0662994384765625": 142, "0663025379180908": 142, "0663368701934814": 142, "0663433074951172": 142, "0663442611694336": 142, "0663745403289795": 142, "066375970840454": 142, "06637989729642868": 142, "0663878917694092": 142, "0663940906524658": 142, "06639862060547": 142, "0663995742797852": 142, "0664019584655762": 142, "0664055272936821": 142, "0664074420928955": 142, "0664331912994385": 142, "066436767578125": 142, "0664393901824951": 142, "0664420127868652": 142, "066488265991211": 142, "0664892196655273": 142, "0664913654327393": 142, "06649619340896606": 142, "0665042400360107": 142, "06650447845459": 142, "0665132999420166": 142, "0665173530578613": 142, "0665178298950195": 142, "0665209293365479": 142, "0665645599365234": 142, "0665922164916992": 142, "0665e": 147, "0666053295135498": 142, "06661033630371": 142, "0666193962097168": 142, "0666208267211914": 142, "06665240973234177": 142, "0666685104370117": 142, "0666797161102295": 142, "0666937828063965": 142, "066725730895996": 142, "0667343139648438": 142, "066743850708008": 142, "0667455196380615": 142, "066751956939697": 142, "0667545795440674": 142, "0667724609375": 142, "066775321960449": 142, "0668": 147, "066800594329834": 142, "0668203830718994": 142, "0668272972106934": 142, "066829204559326": 142, "066829681396484": 142, "0668396949768066": 142, "0668518543243408": 142, "0668525695800781": 142, "0668623447418213": 142, "0668673515319824": 142, "06688117980957": 142, "06689320504665375": 142, "0668940544128418": 142, "066899061203003": 142, "0669": 147, "066908836364746": 142, "06693984568119049": 142, "066965103149414": 142, "0669713020324707": 142, "0669760704040527": 142, "066983938217163": 142, "0669996738433838": 142, "0670": [147, 149], "0670030117034912": 142, "06700649112462997": 142, "0670232772827148": 142, "0670249462127686": 142, "0670356750488281": 142, "0670390129089355": 142, "0670480728149414": 142, "0670535564422607": 142, "0670597553253174": 142, "067068099975586": 142, "0670685768127441": 142, "067087173461914": 142, "067089319229126": 142, "0670902729034424": 142, "067100524902344": 142, "0671324729919434": 142, "06713886559009552": 142, "0671427249908447": 142, "0671494007110596": 142, "067150592803955": 142, "0671613216400146": 142, "0671632289886475": 142, "06716515123844147": 142, "067184925079346": 142, "067190170288086": 142, "0672": [147, 149], "067201137542725": 142, "06720346957445145": 142, "06721486896276474": 142, "0672307014465332": 142, "0672399997711182": 142, "0672550201416016": 142, "0672698020935059": 142, "0672986507415771": 142, "0673": 139, "0673003196716309": 142, "067359209060669": 142, "067363977432251": 142, "0673789978027344": 142, "0673816204071045": 142, "0673832893371582": 142, "0673952102661133": 142, "0674": 153, "067411184310913": 142, "0674238204956055": 142, "0674285888671875": 142, "0674347877502441": 142, "067441701889038": 142, "067460298538208": 142, "0674731731414795": 142, "06747829914093018": 142, "0674874782562256": 142, "06750591844320297": 142, "0675065517425537": 142, "0675170421600342": 142, "0675256252288818": 142, "0675380527973175": 142, "067544937133789": 142, "067549705505371": 142, "0675649642944336": 142, "067565679550171": 142, "06757237017154694": 142, "0675883293151855": 142, "0676": 154, "0676078796386719": 142, "067608118057251": 142, "0676112174987793": 142, "067617416381836": 142, "0676238536834717": 142, "067628860473633": 142, "0677118301391602": 142, "06771372258663177": 142, "06771505624055862": 142, "0677189826965332": 142, "06772298365831375": 142, "067723274230957": 142, "0677299499511719": 142, "06774139404297": 142, "0677552223205566": 142, "0677590370178223": 142, "067765235900879": 142, "0677847862243652": 142, "06778584420681": 142, "067787170410156": 142, "06780923902988434": 142, "0678157806396484": 142, "067817211151123": 142, "0678274631500244": 142, "0678510665893555": 142, "0678529739379883": 142, "067863941192627": 142, "0678720474243164": 142, "0678785890340805": 142, "0678939819335938": 142, "0678973197937012": 142, "0679316520690918": 142, "0679402351379395": 142, "0679583549499512": 142, "06797456741333": 142, "067975997924805": 142, "0679938793182373": 142, "067995071411133": 142, "0679972171783447": 142, "0680": 154, "0680023655295372": 142, "0680029392242432": 142, "068011999130249": 142, "0680146217346191": 142, "0680153369903564": 142, "0680291652679443": 142, "06803297996521": 142, "068037748336792": 142, "068037986755371": 142, "0680484026670456": 142, "0680553913116455": 142, "068058013916016": 142, "068063497543335": 142, "06807518005371": 142, "0680761337280273": 142, "068082571029663": 142, "0680911540985107": 142, "0680944919586182": 142, "0681025981903076": 142, "0681471824645996": 142, "068153381347656": 142, "0681536197662354": 142, "0681610107421875": 142, "0681672096252441": 142, "06816864013672": 142, "06818962097168": 142, "0681912899017334": 142, "068195104598999": 142, "0681993961334229": 142, "0682039260864258": 142, "0682053565979004": 142, "06820821762085": 142, "0682098865509033": 142, "068225383758545": 142, "06822783499956131": 142, "0682587623596191": 142, "0683062076568604": 142, "0683081150054932": 142, "0683090686798096": 142, "068317413330078": 142, "0683181285858154": 142, "0683248043060303": 142, "0683422088623047": 142, "0683434009552002": 142, "0683543682098389": 142, "0683622360229492": 142, "0683627128601074": 142, "0683636665344238": 142, "0683698654174805": 142, "0683701038360596": 142, "0684": 139, "0684032440185547": 142, "06841520965099335": 142, "0684237480163574": 142, "06842989474534988": 142, "0684340000152588": 142, "0684421062469482": 142, "0684573650360107": 142, "0684680938720703": 142, "068477630615234": 142, "068483829498291": 142, "0684926509857178": 142, "0684998631477356": 142, "0685029029846191": 142, "0685155391693115": 142, "0685408115386963": 142, "0685429573059082": 142, "068544864654541": 142, "0685451030731201": 142, "0685546398162842": 142, "0685567855834961": 142, "0685679912567139": 142, "0685830116271973": 142, "0685985088348389": 142, "06859929859638214": 142, "0685997009277344": 142, "0686256885528564": 142, "0686273574829102": 142, "0686278343200684": 142, "0686326026916504": 142, "0686352252960205": 142, "06864356994629": 142, "0686447620391846": 142, "06865481287240982": 142, "0686564445495605": 142, "068660736083984": 142, "0686616897583008": 142, "0686700344085693": 142, "0686843395233154": 142, "0687041282653809": 142, "0687179565429688": 142, "0687260627746582": 142, "0687282085418701": 142, "0687432289123535": 142, "0687823295593262": 142, "0688011646270752": 142, "0688104629516602": 142, "0688142776489258": 142, "0688254833221436": 142, "068826675415039": 142, "0688517093658447": 142, "06888711452484131": 142, "0688872337341309": 142, "0688955783843994": 142, "068911075592041": 142, "0689213275909424": 142, "0689268112182617": 142, "06892728805542": 142, "0689406394958496": 142, "0689435005187988": 142, "0689961910247803": 142, "069005012512207": 142, "069016456604004": 142, "06902503967285": 142, "0690267086029053": 142, "0690367221832275": 142, "0690374374389648": 142, "069044589996338": 142, "06905198097229": 142, "0690538883209229": 142, "069054365158081": 142, "0690574645996094": 142, "0690703392028809": 142, "0690743923187256": 142, "0690758228302002": 142, "0690927505493164": 142, "06913118064403534": 142, "06914342194795609": 142, "06915283203125": 142, "069155216217041": 142, "06915807723999": 142, "0691635608673096": 142, "069183588027954": 142, "0691866874694824": 142, "0691895484924316": 142, "0691981315612793": 142, "069225788116455": 142, "0692331790924072": 142, "069256067276001": 142, "069258689880371": 142, "0692591667175293": 142, "0692641735076904": 142, "069274663925171": 142, "0692756175994873": 142, "0692758560180664": 142, "0692780017852783": 142, "069297790527344": 142, "0693": 139, "0693271160125732": 142, "0693390369415283": 142, "069352626800537": 142, "0693557262420654": 142, "069368600845337": 142, "0693774223327637": 142, "069380283355713": 142, "0693840980529785": 142, "0693953037261963": 142, "0694105625152588": 142, "0694196224212646": 142, "0694208145141602": 142, "069443702697754": 142, "0694446563720703": 142, "0694572925567627": 142, "06946864724159241": 142, "0694761276245117": 142, "06947898864746": 142, "0694794654846191": 142, "069481611251831": 142, "0694973468780518": 142, "069504976272583": 142, "069507598876953": 142, "0695147514343262": 142, "0695276260375977": 142, "069528579711914": 142, "069535493850708": 142, "0695414543151855": 142, "0695559978485107": 142, "0695674419403076": 142, "06957647949457169": 142, "069579839706421": 142, "069584608078003": 142, "06958471238613129": 142, "0695900917053223": 142, "069593906402588": 142, "0696017742156982": 142, "06961989402771": 142, "0696237087249756": 142, "0696322917938232": 142, "0696330070495605": 142, "069643497467041": 142, "06965436786413193": 142, "0696613788604736": 142, "06966708600521088": 142, "0696699619293213": 142, "06969255208969116": 142, "069697380065918": 142, "069705963134766": 142, "0697157382965088": 142, "0697317123413086": 142, "069735050201416": 142, "0697386264801025": 142, "0697400569915771": 142, "0697474479675293": 142, "0697529315948486": 142, "0697553157806396": 142, "0697581768035889": 142, "069758653640747": 142, "0697591304779053": 142, "0697665214538574": 142, "0697753429412842": 142, "0697767734527588": 142, "0697860717773438": 142, "06978988647461": 142, "0697910785675049": 142, "069810152053833": 142, "0698118209838867": 142, "0698192119598389": 142, "069820404052734": 142, "0698204040527344": 142, "0698215961456299": 142, "0698256492614746": 142, "0698342323303223": 142, "06984096765518188": 142, "0698542594909668": 142, "0698566436767578": 142, "069856643676758": 142, "069856882095337": 142, "06985901296138763": 142, "0698621273040771": 142, "0698652267456055": 142, "0698659420013428": 142, "06986665725708": 142, "0698680877685547": 142, "0698692798614502": 142, "0698754787445068": 142, "0698761940002441": 142, "0698838233947754": 142, "06988525390625": 142, "0699026584625244": 142, "0699050426483154": 142, "069910049438477": 142, "069920539855957": 142, "0699222087860107": 142, "0699224472045898": 142, "0699379444122314": 142, "0699522495269775": 142, "0699577331542969": 142, "069965362548828": 142, "069976806640625": 142, "0699834823608398": 142, "0699880123138428": 142, "0699882507324219": 142, "069990873336792": 142, "069995403289795": 142, "0699963569641113": 142, "0699992179870605": 142, "0699999332427979": 142, "06e": 147, "06it": 147, "06m": 134, "07": [133, 134, 142, 145, 147, 149, 153, 154], "0700008869171143": 142, "0700032711029053": 142, "07000914961099625": 142, "070012092590332": 142, "070016622543335": 142, "0700175762176514": 142, "0700182914733887": 142, "070021390914917": 142, "0700218677520752": 142, "0700294971466064": 142, "0700383186340332": 142, "0700387954711914": 142, "0700441524386406": 142, "0700480937957764": 142, "070049285888672": 142, "0700576305389404": 142, "0700583457946777": 142, "0700724124908447": 142, "0700814723968506": 142, "0700831413269043": 142, "0700862407684326": 142, "07008957862854": 142, "070091247558594": 142, "0700976848602295": 142, "0701074600219727": 142, "0701093673706055": 142, "070110559463501": 142, "0701179504394531": 142, "0701267719268799": 142, "0701355934143066": 142, "070148229598999": 142, "070159912109375": 142, "0701656341552734": 142, "0701849460601807": 142, "0701937675476074": 142, "0701971054077148": 142, "070201873779297": 142, "070204257965088": 142, "0702052116394043": 142, "0702104568481445": 142, "0702126026153564": 142, "0702297687530518": 142, "0702571868896484": 142, "0702614784240723": 142, "0702624320983887": 142, "070267915725708": 142, "0702691078186035": 142, "0702695846557617": 142, "07027455419301987": 142, "0702788829803467": 142, "0702831745147705": 142, "0702931880950928": 142, "0702946186065674": 142, "07029911130666733": 142, "0703039169311523": 142, "070317029953003": 142, "0703237056732178": 142, "070326805114746": 142, "0703418254852295": 142, "070343255996704": 142, "0703446865081787": 142, "070345163345337": 142, "070357322692871": 142, "0703673362731934": 142, "0703816413879395": 142, "0703859329223633": 142, "0703976154327393": 142, "0704081058502197": 142, "0704107284545898": 142, "0704143047332764": 142, "070415496826172": 142, "070428848266602": 142, "070462942123413": 142, "0704822540283203": 142, "0704829692840576": 142, "0704834461212158": 142, "0704891681671143": 142, "0705084800720215": 142, "0705218315124512": 142, "070522308349609": 142, "0705287456512451": 142, "0705349445343018": 142, "0705385208129883": 142, "070549488067627": 142, "0705573558807373": 142, "0705673694610596": 142, "0705807209014893": 142, "0705933570861816": 142, "0705935955047607": 142, "0705981254577637": 142, "070598840713501": 142, "070608139038086": 142, "07061417400836945": 142, "0706243515014648": 142, "070663452148438": 142, "0706658363342285": 142, "0706672668457031": 142, "0706679821014404": 142, "0706779956817627": 142, "07067840546369553": 142, "0706794261932373": 142, "07068485021591187": 142, "0706923007965088": 142, "0707018375396729": 142, "0707054138183594": 142, "0707101821899414": 142, "0707247257232666": 142, "0707249641418457": 142, "070767879486084": 142, "0707769393920898": 142, "07077882438898087": 142, "0707838535308838": 142, "0707886219024658": 142, "0707976818084717": 142, "0708022117614746": 142, "070812225341797": 142, "0708134174346924": 142, "0708215236663818": 142, "07082200050354": 142, "07084059715271": 142, "0708537101745605": 142, "0708603858947754": 142, "0709027424454689": 142, "070911169052124": 142, "0709130764007568": 142, "0709171295166": 142, "0709569454193115": 142, "070967435836792": 142, "0709912776947021": 142, "0709948539733887": 142, "07099593430757523": 142, "071012020111084": 142, "07102074474096298": 142, "071021318435669": 142, "0710291862487793": 142, "07103729248047": 142, "071042776107788": 142, "071052074432373": 142, "0710630416870117": 142, "0710768699645996": 142, "071115493774414": 142, "071117401123047": 142, "0711307525634766": 142, "0711328983306885": 142, "071152925491333": 142, "0711536407470703": 142, "071164608001709": 142, "071167230606079": 142, "0711681842803955": 142, "0711920261383057": 142, "071195125579834": 142, "0711956024169922": 142, "071201801300049": 142, "071218490600586": 142, "0712273120880127": 142, "0712614059448242": 142, "071277618408203": 142, "0712e": 147, "071305274963379": 142, "0713212490081787": 142, "0713276863098145": 142, "0713298320770264": 142, "071333408355713": 142, "0713365077972412": 142, "0713396072387695": 142, "0713399201631546": 142, "0713436603546143": 142, "0713462829589844": 142, "07135581970215": 142, "0713598728179932": 142, "0713627338409424": 142, "071369171142578": 142, "071392059326172": 142, "0713977813720703": 142, "071422576904297": 142, "0714306831359863": 142, "071481466293335": 142, "0714845657348633": 142, "0714943408966064": 142, "071500301361084": 142, "0715134143829346": 142, "071526050567627": 142, "0715608596801758": 142, "0715699195861816": 142, "0715734958648682": 142, "07157590240240097": 142, "071578979492188": 142, "0715820789337158": 142, "071587085723877": 142, "0715899467468262": 142, "0716": 154, "071608304977417": 142, "0716145038604736": 142, "0716156959533691": 142, "071643590927124": 142, "0716454982757568": 142, "071648120880127": 142, "07169530540704727": 142, "0716972351074219": 142, "0717": [144, 154], "0717439651489258": 142, "071749210357666": 142, "0717785358428955": 142, "071779489517212": 142, "07177950441837311": 142, "0717852115631104": 142, "0717928409576416": 142, "071794033050537": 142, "07179594039917": 142, "0718050003051758": 142, "0718226432800293": 142, "0718269348144531": 142, "071836471557617": 142, "0718414783477783": 142, "0718674659729004": 142, "071868896484375": 142, "0718836784362793": 142, "0718882083892822": 142, "0718977451324463": 142, "0719115734100342": 142, "0719282627105713": 142, "0719618797302246": 142, "071963310241699": 142, "072": 147, "0720009803771973": 142, "0720248222351074": 142, "0720741748809814": 142, "0720767974853516": 142, "0720913410186768": 142, "0720932483673096": 142, "07212354242801666": 142, "072132587432861": 142, "072132678441731": 142, "072132678441733": 142, "0721416473388672": 142, "072164535522461": 142, "0721664428710938": 142, "072173833847046": 142, "072202444076538": 142, "0722029209136963": 142, "0722217559814453": 142, "0722289085388184": 142, "072250366210938": 142, "0723028182983398": 142, "072312355041504": 142, "0723211765289307": 142, "07232753932476044": 142, "0723280906677246": 142, "0723285675048828": 142, "07233691215515137": 142, "0723400115966797": 142, "0723564624786377": 142, "07235678285360336": 142, "0723638534545898": 142, "0723669528961182": 142, "0723836421966553": 142, "0724079608917236": 142, "0724115371704102": 142, "0724120140075684": 142, "0724132061004639": 142, "0724217891693115": 142, "072432518005371": 142, "0724332332611084": 142, "072434425354004": 142, "0724413394927979": 142, "072495460510254": 142, "0725000873208046": 142, "0725135803222656": 142, "0725314617156982": 142, "0725321769714355": 142, "07254795730113983": 142, "0725512504577637": 142, "0725667476654053": 142, "072582721710205": 142, "07259999960660934": 142, "0726022720336914": 142, "0726094245910645": 142, "0726215839385986": 142, "0726497173309326": 142, "0726590156555176": 142, "0726730823516846": 142, "0726749375462532": 142, "0727307796478271": 142, "0727319717407227": 142, "072737455368042": 142, "072746992111206": 142, "0727696418762207": 142, "0727932453155518": 142, "072795867919922": 142, "072812795639038": 142, "072816": 153, "07282066345215": 142, "0728251934051514": 142, "0728271007537842": 142, "0728277638554573": 142, "072831630706787": 142, "0728328227996826": 142, "0728628635406494": 142, "0728883743286133": 142, "0729162693023682": 142, "072934865951538": 142, "072935104370117": 142, "0729403495788574": 142, "072946548461914": 142, "0729663372039795": 142, "0729694366455078": 142, "0729897022247314": 142, "0730": 154, "0730085372924805": 142, "073023152770475e": 142, "07302592694759369": 142, "0730419158935547": 142, "073044776916504": 142, "07304494082927704": 142, "073049545288086": 142, "0730724334716797": 142, "073089361190796": 142, "073091506958008": 142, "0730950832366943": 142, "073101282119751": 142, "073129653930664": 142, "07314492762088776": 142, "0731489658355713": 142, "073164939880371": 142, "0731701850891113": 142, "0731995105743408": 142, "0732085704803467": 142, "07321298122406006": 142, "0732581615447998": 142, "07326078414917": 142, "0732698440551758": 142, "073279619216919": 142, "073284149169922": 142, "0732972621917725": 142, "0733075141906738": 142, "0733191967010498": 142, "073356628417969": 142, "073361396789551": 142, "073396682739258": 142, "0734000205993652": 142, "0734028816223145": 142, "07340777665376663": 142, "0734403133392334": 142, "0734446048736572": 142, "07345528155565262": 142, "0734584331512451": 142, "0734727382659912": 142, "0734848976135254": 142, "0735008716583252": 142, "0735094547271729": 142, "073518753051758": 142, "0735242366790771": 142, "0735700130462646": 142, "0735721588134766": 142, "0735831260681152": 142, "073587417602539": 142, "0735924243927002": 142, "0735936164855957": 142, "07359504699707": 142, "073596715927124": 142, "0736024379730225": 142, "07361262291669846": 142, "0736149400472641": 142, "07362467050552368": 142, "0736265182495117": 142, "0736279487609863": 142, "0736377239227295": 142, "07365132868289948": 142, "0736784934997559": 142, "073683738708496": 142, "0736885070800781": 142, "0736920833587646": 142, "0737": 139, "0737016201019287": 142, "07375168800354": 142, "0737521648406982": 142, "073755264282227": 142, "0737850666046143": 142, "07378697395324707": 142, "073793649673462": 142, "0738098621368408": 142, "0738108158111572": 142, "0738301277160645": 142, "0738317966461182": 142, "0738468170166": 142, "0738487243652344": 142, "0738716125488281": 142, "073883056640625": 142, "0738856792449951": 142, "073896884918213": 142, "0739052295684814": 142, "0739080905914307": 142, "0739128589630127": 142, "0739445686340332": 142, "0739538669586182": 142, "074": 134, "0740015506744385": 142, "0740032196044922": 142, "074007511138916": 142, "0740079879760742": 142, "0740187168121338": 142, "0740325450897217": 142, "0740337371826172": 142, "0740346908569336": 142, "0740492343902588": 142, "074058532714844": 142, "0740628242492676": 142, "0740654468536377": 142, "0740768909454346": 142, "0741": 139, "074103593826294": 142, "0741124153137207": 142, "074112892150879": 142, "074124813079834": 142, "0741395950317383": 142, "0741465091705322": 142, "074146747589111": 142, "0741970539093018": 142, "0742015838623047": 142, "0742182731628418": 142, "074233055114746": 142, "07424581795930862": 142, "0742533206939697": 142, "07428428530693054": 142, "074296474456787": 142, "07429838180542": 142, "074298620223999": 142, "0743": 139, "0743074417114258": 142, "0743448734283447": 142, "074347734451294": 142, "074366807937622": 142, "074415922164917": 142, "0744214057922363": 142, "074430465698242": 142, "0744342803955078": 142, "074446201324463": 142, "074448823928833": 142, "0744740962982178": 142, "074482440948486": 142, "07449289411306381": 142, "0745": 154, "0745105743408203": 142, "0745432376861572": 142, "07454819977283478": 142, "074556350708008": 142, "0745680332183838": 142, "0745699405670166": 142, "0745928287506104": 142, "07459666579961777": 142, "0746009349822998": 142, "0746114253997803": 142, "074617385864258": 142, "0746407508850098": 142, "074660301208496": 142, "0746641159057617": 142, "0746643543243408": 142, "074671983718872": 142, "0746879577636719": 142, "0747013092041016": 142, "0747084617614746": 142, "0747227668762207": 142, "074731826782227": 142, "0747463703155518": 142, "074756383895874": 142, "0747654438018799": 142, "074775829911232": 142, "0747830867767334": 142, "0747897624969482": 142, "074791669845581": 142, "07479476928711": 142, "0747957229614258": 142, "0748405456542969": 142, "0748460292816162": 142, "07485008239746": 142, "074861526489258": 142, "0748649388551712": 142, "0748798847198486": 142, "0748975276947021": 142, "0749053955078125": 142, "0749132633209229": 142, "0749166011810303": 142, "0749249458312988": 142, "074932098388672": 142, "0749354362487793": 142, "074960470199585": 142, "074962615966797": 142, "074966430664062": 142, "0749974250793457": 142, "0749986171722412": 142, "0750": 154, "0750095844268799": 142, "0750172138214111": 142, "075028657913208": 142, "075059413909912": 142, "07506587356328964": 142, "075069427490234": 142, "07508522272109985": 142, "075087070465088": 142, "0751": 154, "07510504126548767": 142, "075120210647583": 142, "075124740600586": 142, "075124979019165": 142, "075148344039917": 142, "075165033340454": 142, "075171947479248": 142, "0751745700836182": 142, "0751900672912598": 142, "0751979351043701": 142, "0752103328704834": 142, "0752239227294922": 142, "0752434730529785": 142, "075244426727295": 142, "0752499103546143": 142, "0752689838409424": 142, "075286865234375": 142, "0753023624420166": 142, "0753095149993896": 142, "0753147602081299": 142, "0753216743469238": 142, "0753369331359863": 142, "0753374099731445": 142, "0753841400146484": 142, "07541847229004": 142, "0754244327545166": 142, "0754263401031494": 142, "0754318237304688": 142, "0754356384277344": 142, "0754454135894775": 142, "0754539966583252": 142, "07545602321624756": 142, "0754632949829102": 142, "0754752159118652": 142, "075482368469238": 142, "0754883289337158": 142, "0754897594451904": 142, "0754985809326172": 142, "0755195617675781": 142, "07552719116211": 142, "075547456741333": 142, "07555408775806427": 142, "075554609298706": 142, "0755648612976074": 142, "0755994319915771": 142, "0756254196166992": 142, "0756304264068604": 142, "0756316184997559": 142, "0756585597991943": 142, "075695514678955": 142, "0757052898406982": 142, "075706958770752": 142, "07570741325616837": 142, "0757169723510742": 142, "0757248401641846": 142, "0757312774658203": 142, "0757484436035156": 142, "0757720470428467": 142, "0757794380187988": 142, "075785160064697": 142, "075793743133545": 142, "075828552246094": 142, "075836420059204": 142, "0758535861968994": 142, "0758612155914307": 142, "0758869647979736": 142, "0758953094482422": 142, "075906753540039": 142, "075916290283203": 142, "0759165287017822": 142, "0759193897247314": 142, "0759220123291016": 142, "07593604922294617": 142, "075972557067871": 142, "0759837627410889": 142, "0760178565979004": 142, "076031684875488": 142, "0760610103607178": 142, "076063871383667": 142, "0760688781738281": 142, "0760767459869385": 142, "076080083847046": 142, "0760879516601562": 142, "0760924816131592": 142, "076094627380371": 142, "07609535753726959": 142, "0761027336120605": 142, "076138": 147, "0761404037475586": 142, "076143741607666": 142, "076148271560669": 142, "076148986816406": 142, "0761501789093018": 142, "0761723741889": 142, "0761957168579102": 142, "0762336254119873": 142, "07626011222600937": 142, "076261043548584": 142, "0762770175933838": 142, "0762906074523926": 142, "0762975215911865": 142, "0762996673584": 142, "0763046741485596": 142, "076305389404297": 142, "07630729675293": 142, "0763123035430908": 142, "076324462890625": 142, "076380729675293": 142, "07643276453018188": 142, "076442003250122": 142, "0764707699418068": 142, "07647310197353363": 142, "0764858722686768": 142, "0765001773834229": 142, "07650242745876312": 142, "0765037536621094": 142, "0765190124511719": 142, "0765225887298584": 142, "076528787612915": 142, "0765297412872314": 142, "076531171798706": 142, "0765318870544434": 142, "0765581130981445": 142, "0765714645385742": 142, "0765762329101562": 142, "07659821957349777": 142, "076617956161499": 142, "07662010192871": 142, "0766313076019287": 142, "07663893699646": 142, "0766496658325195": 142, "0766515731811523": 142, "0766546726226807": 142, "0766708850860596": 142, "0766992568969727": 142, "0767173767089844": 142, "07672119140625": 142, "076723337173462": 142, "0767457485198975": 142, "076751947402954": 142, "0767664909362793": 142, "0767736434936523": 142, "0767929553985596": 142, "0768280029296875": 142, "0768322944641113": 142, "076833248138428": 142, "076833724975586": 142, "076836347579956": 142, "076857328414917": 142, "0768766403198242": 142, "07688307762146": 142, "07688570022583": 142, "076908826828003": 142, "0769364833831787": 142, "076940536499023": 142, "0769433975219727": 142, "0769920349121094": 142, "0769939422607422": 142, "077": 147, "077014684677124": 142, "0770289897918701": 142, "0770347118377686": 142, "077036380767822": 142, "0770409107208252": 142, "0770487785339355": 142, "077054500579834": 142, "077063798904419": 142, "077101230621338": 142, "0771174430847168": 142, "0771195888519287": 142, "077120065689087": 142, "077128887176514": 142, "0771427154541016": 142, "0771491527557373": 142, "0771644115447998": 142, "0771713256835938": 142, "0771725177764893": 142, "0771806240081787": 142, "0771820545196533": 142, "077193260192871": 142, "07719608396291733": 142, "07720256596803665": 142, "0772151947021484": 142, "077246904373169": 142, "0772643089294434": 142, "0772697925567627": 142, "0772805213928223": 142, "0772991180419922": 142, "0773100852966309": 142, "0773412436246872": 142, "0773415565490723": 142, "0773496627807617": 142, "0773653984069824": 142, "0773837566375732": 142, "0774168968200684": 142, "0774359703063965": 142, "07744590193033218": 142, "0774626731872559": 142, "077474594116211": 142, "0774929523468018": 142, "0774965286254883": 142, "0774993896484375": 142, "0775024890899658": 142, "077507495880127": 142, "0775198936462402": 142, "077524185180664": 142, "0775344371795654": 142, "0775644779205322": 142, "0775654315948486": 142, "0775659084320068": 142, "077580451965332": 142, "07759002596139908": 142, "0775935649871826": 142, "077596664428711": 142, "077608585357666": 142, "0776336193084717": 142, "077652931213379": 142, "077659606933594": 142, "077678918838501": 142, "0776801109313965": 142, "0776867866516113": 142, "0776948928833008": 142, "0777275562286377": 142, "0777347087860107": 142, "0777413845062256": 142, "0777530670166": 142, "0777571201324463": 142, "0777709484100342": 142, "07777431607246399": 142, "077791452407837": 142, "0777926445007324": 142, "07780156284570694": 142, "07781106233596802": 142, "077826976776123": 142, "077836036682129": 142, "0778398513793945": 142, "07785280048847198": 142, "0778725147247314": 142, "0778732299804688": 142, "0778822898864746": 142, "07788732647895813": 142, "0779190063476562": 142, "0779361724853516": 142, "077938556671143": 142, "0779469013214111": 142, "0779800415039062": 142, "0780222415924072": 142, "078040361404419": 142, "0780439376831055": 142, "0780799388885498": 142, "07808256149292": 142, "078084945678711": 142, "078089714050293": 142, "0780959129333496": 142, "078096389770508": 142, "078096866607666": 142, "07810293883085251": 142, "07811374962329865": 142, "0781402587890625": 142, "0781643390655518": 142, "0781779289245605": 142, "078197717666626": 142, "0782151222229004": 142, "0782206058502197": 142, "0782418251037598": 142, "0782513618469238": 142, "0782523155212402": 142, "0782556533813477": 142, "0782620906829834": 142, "07827000e": [147, 149], "0782949924468994": 142, "078310966491699": 142, "0783166885375977": 142, "0783171653747559": 142, "0783205032348633": 142, "078328609466553": 142, "0783476829528809": 142, "0783636569976807": 142, "0783724784851074": 142, "0783889293670654": 142, "07839012145996": 142, "0784130096435547": 142, "078414440155029": 142, "0784262865781784": 142, "0784432888031006": 142, "0784435272216797": 142, "0784616470336914": 142, "0784626007080078": 142, "0785036087036133": 142, "078507423400879": 142, "07851811498403549": 142, "078526258468628": 142, "0785295963287354": 142, "078531265258789": 142, "0785326957702637": 142, "07853275537490845": 142, "078540563583374": 142, "0785486698150635": 142, "0785582065582275": 142, "07857079803943634": 142, "0785839557647705": 142, "0785963535308838": 142, "0785987377166748": 142, "0786359310150146": 142, "0786364078521729": 142, "0786468982696533": 142, "0786471366882324": 142, "0786590576171875": 142, "078683614730835": 142, "0787": 154, "0787034034729004": 142, "0787146091461182": 142, "0787391662597656": 142, "0787403583526611": 142, "078742265701294": 142, "0787794589996338": 142, "0788509845733643": 142, "078861236572266": 142, "0788629055023193": 142, "078890085220337": 142, "078906774520874": 142, "0789129734039307": 142, "078920602798462": 142, "0789244174957275": 142, "078935623168945": 142, "07893705368042": 142, "0789391994476318": 142, "0789449214935303": 142, "078946590423584": 142, "0789484977722168": 142, "0789499282836914": 142, "078951358795166": 142, "078953742980957": 142, "0789568424224854": 142, "07895958423614502": 142, "078960418701172": 142, "0789639949798584": 142, "0789673328399658": 142, "0789988040924072": 142, "0789990425109863": 142, "07900000e": [147, 149], "07900307327508926": 142, "0790162086486816": 142, "0790231227874756": 142, "0790307521820068": 142, "0790321826934814": 142, "079041076c3f15d18ecb5d17c509cdf": 129, "079054355621338": 142, "0790605545043945": 142, "0790691375732422": 142, "0790770053863525": 142, "07907772064209": 142, "0790908336639404": 142, "0791053771972656": 142, "0791068077087402": 142, "079111099243164": 142, "0791151523590088": 142, "079120635986328": 142, "0791244506835938": 142, "0791308879852295": 142, "0791339874267578": 142, "0791444778442383": 142, "0791468620300293": 142, "0791563987731934": 142, "079171895980835": 142, "0791778564453125": 142, "0791876316070557": 142, "0791878700256348": 142, "0791890621185303": 142, "079193353652954": 142, "0791945457458496": 142, "07919903844594955": 142, "0791993141174316": 142, "079199314117432": 142, "0792365074157715": 142, "0792474746704102": 142, "07925796508789": 142, "079258918762207": 142, "0792672634124756": 142, "079270362854004": 142, "079272747039795": 142, "0792813301086426": 142, "0792815685272217": 142, "0793051719665527": 142, "0793161392211914": 142, "0793213844299316": 142, "079329013824463": 142, "079336166381836": 142, "079352855682373": 142, "079359769821167": 142, "0793638229370117": 142, "0793647766113281": 142, "0793733596801758": 142, "0793955326080322": 142, "0793981552124023": 142, "0794055461883545": 142, "0794179439544678": 142, "0794260501861572": 142, "0794265270233154": 142, "079430341720581": 142, "0794382095336914": 142, "0794401168823242": 142, "0794432163238525": 142, "07944489270448685": 142, "0794568061828613": 142, "079458236694336": 142, "0794587135314941": 142, "07947200536727905": 142, "0794768333435059": 142, "0794804096221924": 142, "0794930458068848": 142, "0794954299926758": 142, "0795049667358398": 142, "0795087814331055": 142, "0795118808746338": 142, "079514741897583": 142, "0795226097106934": 142, "079524040222168": 142, "0795297622680664": 142, "079538345336914": 142, "0795481204986572": 142, "07954909652471542": 142, "0795526504516602": 142, "0795671939849854": 142, "0795683860778809": 142, "079578161239624": 142, "0795822143554688": 142, "0795831680297852": 142, "0796000957489014": 142, "0796012878417969": 142, "079615831375122": 142, "0796363353729248": 142, "0796422958374023": 142, "079643249511719": 142, "079648733139038": 142, "07965087890625": 142, "0796658992767334": 142, "07966947555542": 142, "07967209815979": 142, "0796756744384766": 142, "079689025878906": 142, "0797016620635986": 142, "079702377319336": 142, "0797030925750732": 142, "0797150135040283": 142, "0797159671783447": 142, "0797359943389893": 142, "0797486305236816": 142, "0797522068023682": 142, "0797531604766846": 142, "079754114151001": 142, "0797688961029053": 142, "0797843933105469": 142, "0797853469848633": 142, "079796314239502": 142, "0798": [147, 149], "079803705215454": 142, "0798053741455078": 142, "0798239707946777": 142, "0798258781433105": 142, "0798261165618896": 142, "079857349395752": 142, "079857587814331": 142, "0798661708831787": 142, "0798721313476562": 142, "0798900127410889": 142, "0798931121826172": 142, "079899787902832": 142, "079902648925781": 142, "0799057483673096": 142, "0799098014831543": 142, "0799140930175781": 142, "0799212455749512": 142, "0799307823181152": 142, "079935073852539": 142, "0799496173858643": 142, "0799505710601807": 142, "0799529552459717": 142, "0799603462219238": 142, "079960823059082": 142, "0799615383148193": 142, "079963207244873": 142, "0799717903137207": 142, "0799798965454102": 142, "0799832344055176": 142, "0799860954284668": 142, "079986810684204": 142, "0799899101257324": 142, "0799908638000488": 142, "07999849319458": 142, "07e": 147, "07it": 147, "07m": 134, "07mb": 134, "08": [133, 134, 139, 142, 147, 149, 153, 154], "0800049304962158": 142, "0800137519836426": 142, "0800161361694336": 142, "0800237655639648": 142, "0800261497497559": 142, "0800285339355469": 142, "0800316333770752": 142, "0800416469573975": 142, "0800437927246094": 142, "0800530910491943": 142, "0800557136535645": 142, "08005750179290771": 142, "0800580978393555": 142, "0800609588623047": 142, "0800652503967285": 142, "0800676345825195": 142, "0800819396972656": 142, "0800836086273193": 142, "0800952911376953": 142, "0800962448120117": 142, "0800983905792236": 142, "0801007747650146": 142, "0801162719726562": 142, "0801177024841309": 142, "080118179321289": 142, "0801191329956055": 142, "0801231861114502": 142, "0801270008087158": 142, "0801305770874023": 142, "0801382064819336": 142, "0801410675048828": 142, "080141544342041": 142, "0801420211791992": 142, "080150842666626": 142, "080153465270996": 142, "0801539421081543": 142, "0801546573638916": 142, "0801584720611572": 142, "0801608562469482": 142, "080167293548584": 142, "0801713466644287": 142, "0801739692687988": 142, "080174446105957": 142, "0801825523376465": 142, "0801844596862793": 142, "0801849365234375": 142, "080188751220703": 142, "0801894664764404": 142, "0801904201507568": 142, "0801961421966553": 142, "080199956893921": 142, "080204725265503": 142, "0802128314971924": 142, "0802173614501953": 142, "0802195072174072": 142, "0802223682403564": 142, "0802268236875534": 142, "0802326202392578": 142, "0802338123321533": 142, "0802481174468994": 142, "0802512168884277": 142, "0802557468414307": 142, "0802664756774902": 142, "0802748203277588": 142, "08027926087379456": 142, "080284833908081": 142, "0802853107452393": 142, "0802860260009766": 142, "0802934169769287": 142, "0802946090698242": 142, "0802977085113525": 142, "0803062915802002": 142, "0803132057189941": 142, "080320835113525": 142, "080324411392212": 142, "0803253650665283": 142, "0803313255310059": 142, "0803391933441162": 142, "0803413391113281": 142, "0803415775299072": 142, "0803451538085938": 142, "0803501605987549": 142, "080357551574707": 142, "0803611278533936": 142, "0803651809692383": 142, "0803842544555664": 142, "0803859233856201": 142, "0803930759429932": 142, "0804011821746826": 142, "0804054737091064": 142, "0804078578948975": 142, "0804176330566406": 142, "0804238319396973": 142, "0804288387298584": 142, "08043450862169266": 142, "080435037612915": 142, "0804424285888672": 142, "0804436206817627": 142, "080444097518921": 142, "0804553031921387": 142, "08046051114797592": 142, "08046555519104": 142, "0804667472839355": 142, "0804696083068848": 142, "080470323562622": 142, "0804708003997803": 142, "0804846286773682": 142, "0804855823516846": 142, "080509901046753": 142, "08051061630249": 142, "08051872253418": 142, "080521583557129": 142, "0805251598358154": 142, "0805253982543945": 142, "080528736114502": 142, "0805346965789795": 142, "08053772151470184": 142, "080549716949463": 142, "0805597305297852": 142, "0805838108062744": 142, "0805864334106445": 142, "0805959701538086": 142, "0805964469909668": 142, "0805983543395996": 142, "0806050300598145": 142, "0806071758270264": 142, "08061020821332932": 142, "0806238651275635": 142, "0806262493133545": 142, "0806379318237305": 142, "0806463286280632": 142, "0806550979614258": 142, "08066463470459": 142, "08066749572754": 142, "080672025680542": 142, "0806794166564941": 142, "0806810855865479": 142, "0806853771209717": 142, "0806856155395508": 142, "0806872844696045": 142, "0806941986083984": 142, "0806958675384521": 142, "0807044506072998": 142, "080704927444458": 142, "0807058811187744": 142, "08070707321167": 142, "0807178020477295": 142, "0807197093963623": 142, "08072077482938766": 142, "080725908279419": 142, "080735206604004": 142, "080737590789795": 142, "0807437896728516": 142, "0807561874389648": 142, "080756664276123": 142, "080763816833496": 142, "0807690620422363": 142, "0807759761810303": 142, "0807771682739258": 142, "080777645111084": 142, "0807795524597168": 142, "080782175064087": 142, "0807840824127197": 142, "08078678697347641": 142, "0807888507843018": 142, "0807945728302002": 142, "0807971954345703": 142, "0808": 154, "080803632736206": 142, "0808062553405762": 142, "0808298587799072": 142, "080845832824707": 142, "0808613300323486": 142, "0808618068695068": 142, "0808658599853516": 142, "0808722972869873": 142, "0808730125427246": 142, "0808732882142067": 142, "0808744430541992": 142, "080878496170044": 142, "0808954238891602": 142, "0809121131896973": 142, "08091279119253159": 142, "0809240341186523": 142, "0809299945831299": 142, "0809335708618164": 142, "0809550285339355": 142, "0809581279754639": 142, "0809834003448486": 142, "0809862613677979": 142, "0809874534606934": 142, "0809881687164307": 142, "0809948444366455": 142, "081": [132, 147, 157], "0810010433197021": 142, "0810019969940186": 142, "0810208320617676": 142, "0810215473175049": 142, "0810389518737793": 142, "0810413360595703": 142, "0810441970825195": 142, "0810563564300537": 142, "0810604095458984": 142, "0810649394989014": 142, "0810723304748535": 142, "0810859203338623": 142, "081087589263916": 142, "0810909271240234": 142, "0811": 154, "0811035633087158": 142, "0811100006103516": 142, "0811152458190918": 142, "0811305046081543": 142, "0811326503753662": 142, "0811328887939453": 142, "0811340808868408": 142, "0811429023742676": 142, "0811479091644287": 142, "0811488628387451": 142, "081151008605957": 142, "0811705589294434": 142, "0811772346496582": 142, "0811774730682373": 142, "0811784267425537": 142, "081181526184082": 142, "0811853408813477": 142, "08120343089103699": 142, "081207513809204": 142, "0812160968780518": 142, "081223487854004": 142, "0812287330627441": 142, "0812346935272217": 142, "0812368392944336": 142, "081237554550171": 142, "081251621246338": 142, "0812585353851318": 142, "0812599658966064": 142, "0812649726867676": 142, "081282377243042": 142, "0813202857971191": 142, "0813241004943848": 142, "0813260078430176": 142, "081329345703125": 142, "0813312530517578": 142, "0813369750976562": 142, "0813381671905518": 142, "0813384056091309": 142, "0813508033752441": 142, "081352710723877": 142, "0813560485839844": 142, "0813825130462646": 142, "0813877582550049": 142, "081392526626587": 142, "0814": 154, "0814108848571777": 142, "0814311504364014": 142, "081437110900879": 142, "0814464092254639": 142, "081451654434204": 142, "0814518928527832": 142, "0814571380615234": 142, "0814743041992188": 142, "0814909934997559": 142, "0814919471740723": 142, "081493377685547": 142, "081496238708496": 142, "0814979076385498": 142, "0815": 147, "08150053024292": 142, "0815074443817139": 142, "0815093517303467": 142, "0815246105194092": 142, "0815260410308838": 142, "081533432006836": 142, "0815517902374268": 142, "0815610885620117": 142, "081585168838501": 142, "0815935134887695": 142, "0815951824188232": 142, "0815978050231934": 142, "0815989971160889": 142, "0816028118133545": 142, "0816113948822021": 142, "0816185474395752": 142, "081620216369629": 142, "0816233158111572": 142, "0816433429718018": 142, "0816495418548584": 142, "0816504955291748": 142, "0816612243652344": 142, "0816640853881836": 142, "0816774368286133": 142, "0816855430603027": 142, "081691026687622": 142, "0817091464996338": 142, "081712245941162": 142, "081726312637329": 142, "081727981567383": 142, "0817296504974365": 142, "081737995147705": 142, "0817515850067139": 142, "0817525386810303": 142, "081762313842773": 142, "0817677974700928": 142, "0817718505859375": 142, "081773042678833": 142, "0817861557006836": 142, "0817911624908447": 142, "0817959308624268": 142, "0817978382110596": 142, "0818161964416504": 142, "0818231105804443": 142, "0818321704864502": 142, "0818474292755127": 142, "08185038715600967": 142, "0818531513214111": 142, "0818536281585693": 142, "0818593502044678": 142, "0818617343902588": 142, "0818819999694824": 142, "0818824768066406": 142, "0818920135498047": 142, "0819": 151, "0819079875946045": 142, "0819289684295654": 142, "0819511413574219": 142, "0819611549377441": 142, "0819649696350098": 142, "0819664001464844": 142, "081979513168335": 142, "0819814205169678": 142, "0819950103759766": 142, "082": 147, "082000494003296": 142, "0820090770721436": 142, "0820140838623047": 142, "082019329071045": 142, "0820223018527031": 142, "0820283889770508": 142, "0820643901824951": 142, "0820693969726562": 142, "082070350646973": 142, "0820708274841309": 142, "082080602645874": 142, "08211088180542": 142, "0821139812469482": 142, "082129716873169": 142, "0821349620819092": 142, "08213996887207": 142, "082160472869873": 142, "082176685333252": 142, "0821819305419922": 142, "0822012424468994": 142, "0822043418884277": 142, "0822453498840332": 142, "0822458267211914": 142, "0822522640228271": 142, "0822713375091553": 142, "0822882652282715": 142, "082294940948486": 142, "0822954177856445": 142, "0823047bbbe05fa0e63f9d83ec601487": 129, "0823125839233398": 142, "0823187828063965": 142, "0823404788970947": 142, "082343339920044": 142, "0823497772216797": 142, "082364797592163": 142, "0823676586151123": 142, "0823745727539062": 142, "0823783874511719": 142, "082383155822754": 142, "0823843479156494": 142, "0823845863342285": 142, "0823864936828613": 142, "0823915004730225": 142, "0823922157287598": 142, "082392692565918": 142, "0823943614959717": 142, "082404375076294": 142, "08240558952093124": 142, "0824065208435059": 142, "0824179649353027": 142, "0824222564697266": 142, "082467794418335": 142, "0824837684631348": 142, "0824947357177734": 142, "0825014114379883": 142, "08252043277025223": 142, "0825223922729492": 142, "0825250148773193": 142, "0825252532958984": 142, "0825259685516357": 142, "0825350284576416": 142, "0825474262237549": 142, "08255934715271": 142, "0825634002685547": 142, "08257215470075607": 142, "0825817584991455": 142, "0825834274291992": 142, "082624651491642": 142, "082627296447754": 142, "0826303958892822": 142, "0826449394226074": 142, "0826518535614014": 142, "0826547145843506": 142, "0826616287231445": 142, "082666397094727": 142, "0826709270477295": 142, "0826752185821533": 142, "0826942920684814": 142, "0827012062072754": 142, "0827019214630127": 142, "0827040672302246": 142, "08270883560180664": 142, "082712173461914": 142, "0827147960662842": 142, "0827269554138184": 142, "0827279090881348": 142, "0827317237854004": 142, "0827345848083496": 142, "082749366760254": 142, "082754373550415": 142, "0827643871307373": 142, "0827713012695312": 142, "0827815532684326": 142, "0828123092651367": 142, "082817554473877": 142, "0828282833099365": 142, "0828351974487305": 142, "0828397274017334": 142, "0828473567962646": 142, "0828516483306885": 142, "0828578472137451": 142, "0828642845153809": 142, "0828773975372314": 142, "0828931331634521": 142, "0829": 154, "0829086303710938": 142, "082920551300049": 142, "08292555809021": 142, "0829427242279053": 142, "0829432010650635": 142, "082960605621338": 142, "082965850830078": 142, "0829694271087646": 142, "0829715728759766": 142, "0829720497131348": 142, "082982063293457": 142, "0829949378967285": 142, "083": [132, 157], "0830051898956299": 142, "0830163955688477": 142, "0830223560333252": 142, "0830423831939697": 142, "0830450057983398": 142, "083056926727295": 142, "0830848217010498": 142, "0830953121185303": 142, "0831215381622314": 142, "0831239223480225": 142, "0831444263458252": 142, "083160400390625": 142, "083162784576416": 142, "0831761360168457": 142, "0831787586212158": 142, "083183765411377": 142, "0831947326660156": 142, "0832092761993408": 142, "0832123756408691": 142, "0832147598266602": 142, "083216667175293": 142, "0832176208496094": 142, "0832180976867676": 142, "0832252502441406": 142, "0832493305206299": 142, "08324996381998062": 142, "08325257152318954": 142, "0832586288452148": 142, "0832667350769043": 142, "0832808017730713": 142, "083282709121704": 142, "08330383896827698": 142, "083304405212402": 142, "0833144187927246": 142, "0833258628845215": 142, "0833361148834229": 142, "0833520889282227": 142, "0833532810211182": 142, "08337420970201492": 142, "0833768844604492": 142, "083383560180664": 142, "0833847522735596": 142, "08338858932256699": 142, "083395004272461": 142, "0834095478057861": 142, "0834150314331055": 142, "083425521850586": 142, "0834293365478516": 142, "083435297012329": 142, "0834405422210693": 142, "0834432989358902": 142, "0834450721740723": 142, "0834579467773438": 142, "08346030861139297": 142, "083470106124878": 142, "0834829807281494": 142, "0834853649139404": 142, "083491325378418": 142, "0834980010986328": 142, "08350757509469986": 142, "0835206508636475": 142, "0835347175598145": 142, "0835635662078857": 142, "083566665649414": 142, "0835847854614258": 142, "08359279483556747": 142, "08359967172145844": 142, "0836033821105957": 142, "0836052894592285": 142, "0836236476898193": 142, "0836310386657715": 142, "08363109827041626": 142, "08363676071167": 142, "0836386680603027": 142, "0836446285247803": 142, "083648920059204": 142, "08365672081708908": 142, "0836594104766846": 142, "0836596488952637": 142, "0836613178253174": 142, "0836620330810547": 142, "0836701393127441": 142, "083672046661377": 142, "083683729171753": 142, "083688735961914": 142, "0837092399597168": 142, "0837106704711914": 142, "0837390422821045": 142, "0837433338165283": 142, "08374370634555817": 142, "0837442874908447": 142, "0837523937225342": 142, "083763599395752": 142, "0837671756744385": 142, "0837674140930176": 142, "0837771892547607": 142, "0837876796722412": 142, "083789587020874": 142, "0837969779968262": 142, "0838": 154, "0838160514831543": 142, "0838265419006348": 142, "0838418006896973": 142, "0838429927825928": 142, "0838439464569092": 142, "0838475227355957": 142, "0838639736175537": 142, "083867073059082": 142, "0838685035705566": 142, "0838854312896729": 142, "0838866233825684": 142, "0838878154754639": 142, "0838971138000488": 142, "0839": 144, "0839042663574219": 142, "0839195251464844": 142, "0839223861694336": 142, "0839314460754395": 142, "0839357376098633": 142, "083946943283081": 142, "083954095840454": 142, "0839564800262451": 142, "0839734077453613": 142, "0839884281158447": 142, "0839910507202148": 142, "083991527557373": 142, "0840015411376953": 142, "0840117931365967": 142, "0840139389038086": 142, "0840182304382324": 142, "084022045135498": 142, "0840282440185547": 142, "0840301513671875": 142, "0840418338775635": 142, "0840466022491455": 142, "0840470790863037": 142, "0840559005737305": 142, "0840635299682617": 142, "0840697288513184": 142, "084071159362793": 142, "0840721130371094": 142, "0840768814086914": 142, "0840826034545898": 142, "084092140197754": 142, "0841014385223389": 142, "084104299545288": 142, "084106206893921": 142, "084111213684082": 142, "0841114521026611": 142, "0841143131256104": 142, "0841186046600342": 142, "084120750427246": 142, "0841238498687744": 142, "0841302871704102": 142, "084134817123413": 142, "0841379165649414": 142, "0841403007507324": 142, "0841426849365234": 142, "084143877029419": 142, "0841569900512695": 142, "0841584205627441": 142, "0841617584228516": 142, "0841832160949707": 142, "084183692932129": 142, "0841853618621826": 142, "0841975212097168": 142, "084198236465454": 142, "084202527999878": 142, "0842092037200928": 142, "084216594696045": 142, "0842418670654297": 142, "0842435359954834": 142, "0842442512512207": 142, "0842769145965576": 142, "0843157768249512": 142, "0843241214752197": 142, "0843250751495361": 142, "0843355655670166": 142, "0843393802642822": 142, "0843684673309326": 142, "0843687057495117": 142, "0843815803527832": 142, "084392786026001": 142, "084396362304688": 142, "0844051837921143": 142, "0844087600708008": 142, "0844204425811768": 142, "0844359397888184": 142, "0844368934631348": 142, "0844497680664062": 142, "0844502449035645": 142, "08448924869298935": 142, "0844922065734863": 142, "0844929218292236": 142, "0845253467559814": 142, "0845441818237305": 142, "084549903869629": 142, "0845568180084229": 142, "084562063217163": 142, "0845658779144287": 142, "0845704078674316": 142, "084604263305664": 142, "084610939025879": 142, "0846271514892578": 142, "084646224975586": 142, "0846612453460693": 142, "0846614837646484": 142, "0846734046936035": 142, "0846779346466064": 142, "08468320220708847": 142, "0846939086914062": 142, "0847": 147, "08471027761697769": 142, "084718227386475": 142, "0847203731536865": 142, "08472734689712524": 142, "08473014831543": 142, "0847303867340088": 142, "0847315788269043": 142, "084749221801758": 142, "0847609043121338": 142, "0847692489624023": 142, "0847711563110352": 142, "0847985744476318": 142, "0848021507263184": 142, "0848057270050049": 142, "0848064422607422": 142, "0848157405853271": 142, "0848181247711182": 142, "0848312377929688": 142, "0848326683044434": 142, "0848424434661865": 142, "0848431587219238": 142, "0848453044891357": 142, "0848462581634521": 142, "084852933883667": 142, "084864139556885": 142, "08487025648355484": 142, "084876537322998": 142, "084890365600586": 142, "0848994255065918": 142, "0849061012268066": 142, "0849063396453857": 142, "0849096775054932": 142, "08493827283382416": 142, "0849394798278809": 142, "084943771362305": 142, "084986686706543": 142, "0849878787994385": 142, "0850050449371338": 142, "0850274562835693": 142, "0850281715393066": 142, "0850343704223633": 142, "0850694179534912": 142, "0850744247436523": 142, "085084915161133": 142, "0850880146026611": 142, "0851199626922607": 142, "085125207901001": 142, "0851271152496338": 142, "0851342678070068": 142, "085136890411377": 142, "0851411819458008": 142, "0851430892944336": 142, "085143804550171": 142, "08515038341283798": 142, "085158109664917": 142, "0851709842681885": 142, "08519172668457": 142, "0851998329162598": 142, "085235834121704": 142, "0852415561676025": 142, "0852422714233398": 142, "0852482318878174": 142, "085252046585083": 142, "0852551460266113": 142, "0852932929992676": 142, "085296630859375": 142, "0853126049041748": 142, "085329294204712": 142, "0853583812713623": 142, "0853626728057861": 142, "0853631496429443": 142, "08537708222866058": 142, "0853869915008545": 142, "085402488708496": 142, "08540404587984085": 142, "0854370594024658": 142, "0854530334472656": 142, "0854661464691162": 142, "0854763984680176": 142, "085479497909546": 142, "0854816436767578": 142, "0854954719543457": 142, "0855236053466797": 142, "085547685623169": 142, "0855739116668701": 142, "0855774879455566": 142, "085599422454834": 142, "0856118202209473": 142, "085632562637329": 142, "0856356620788574": 142, "085655212402344": 142, "0856621265411377": 142, "0856852531433105": 142, "0857": [147, 149, 154], "085709810256958": 142, "0857162475585938": 142, "0857234001159668": 142, "0857298374176025": 142, "0857408046722412": 142, "08574499934911728": 142, "0857524871826172": 142, "0857741832733154": 142, "0857791900634766": 142, "085789680480957": 142, "0858063697814941": 142, "085815668106079": 142, "0858209133148193": 142, "0858216285705566": 142, "0858392715454102": 142, "0858638286590576": 142, "085866928100586": 142, "0858747959136963": 142, "0858831405639648": 142, "0858867168426514": 142, "085890769958496": 142, "085892915725708": 142, "085904836654663": 142, "085909366607666": 142, "0859110355377197": 142, "0859153270721436": 142, "0859260559082031": 142, "0859291553497314": 142, "0859339237213135": 142, "0859386920928955": 142, "0859456062316895": 142, "0859458446502686": 142, "08596613258123398": 142, "086": 147, "0860011577606201": 142, "086014986038208": 142, "0860280990600586": 142, "0860600471496582": 142, "0860626697540283": 142, "086069107055664": 142, "086073637008667": 142, "086074829101562": 142, "0860872268676758": 142, "0860977172851562": 142, "0860991477966309": 142, "086111307144165": 142, "086122751235962": 142, "0861330032348633": 142, "0861504077911377": 142, "0861661434173584": 142, "086167573928833": 142, "0861687660217285": 142, "086188793182373": 142, "0862045288085938": 142, "086205244064331": 142, "086215019226074": 142, "0862164497375488": 142, "0862245559692383": 142, "0862500667572021": 142, "086256742477417": 142, "0862641334533691": 142, "0862672328948975": 142, "0862720012664795": 142, "086289644241333": 142, "08630191534757614": 142, "0863022804260254": 142, "0863037109375": 142, "0863149166107178": 142, "0863206386566162": 142, "0863325595855713": 142, "0863335132598877": 142, "086350917816162": 142, "08635139465332": 142, "0863897800445557": 142, "086395263671875": 142, "0864007472991943": 142, "086406707763672": 142, "0864179134368896": 142, "086428165435791": 142, "086437463760376": 142, "0865": 154, "086517095565796": 142, "0865185260772705": 142, "0865280628204346": 142, "0865352153778076": 142, "086538314819336": 142, "0865662097930908": 142, "086575984954834": 142, "0865914821624756": 142, "0865919589996338": 142, "0865983963012695": 142, "08660013973712921": 142, "08660125732422": 142, "086604356765747": 142, "0866105556488037": 142, "086611270904541": 142, "0866198539733887": 142, "0866243839263916": 142, "0866332054138184": 142, "0866341590881348": 142, "0866410732269287": 142, "08664155006408691": 142, "086674451828003": 142, "08669114112854": 142, "0867": 153, "0867183208465576": 142, "0867443084716797": 142, "0867455005645752": 142, "0867505073547363": 142, "0867552757263184": 142, "0867767333984375": 142, "08681105077266693": 142, "0868182182312012": 142, "0868661403656006": 142, "0868768692016602": 142, "0868792533874512": 142, "0868804454803467": 142, "0869131088256836": 142, "0869178771972656": 142, "0869410037994385": 142, "0869476795196533": 142, "0869495868682861": 142, "086956262588501": 142, "0869569778442383": 142, "086958885192871": 142, "08696174621582": 142, "0869686603546143": 142, "0869696140289307": 142, "0869736671447754": 142, "0869779586791992": 142, "0869932174682617": 142, "0869967937469482": 142, "0870037078857422": 142, "0870039463043213": 142, "0870072841644287": 142, "0870390310883522": 142, "0870399475097656": 142, "0870757102966309": 142, "0870764255523682": 142, "0870811939239502": 142, "0870826244354248": 142, "087104320526123": 142, "0871267318725586": 142, "0871281623840332": 142, "0871291160583496": 142, "0871555805206299": 142, "08716477453708649": 142, "0871663093566895": 142, "0871715545654297": 142, "0871803760528564": 142, "0871927738189697": 142, "0872113704681396": 142, "0872161388397217": 142, "08722225576639175": 142, "087233543395996": 142, "0872418880462646": 142, "087242841720581": 142, "0872671604156494": 142, "0873160362243652": 142, "087320327758789": 142, "0873260498046875": 142, "0873281955718994": 142, "0873351097106934": 142, "0873382091522217": 142, "0873429775238037": 142, "0873537063598633": 142, "0873728021979332": 142, "0873737335205078": 142, "08737527579069138": 142, "0873889923095703": 142, "0873894691467285": 142, "0873908996582031": 142, "0873947143554688": 142, "0873966217041": 142, "0874042510986328": 142, "0874080657959": 142, "087425947189331": 142, "0874273777008057": 142, "08744412660598755": 142, "0874512195587158": 142, "0874619483947754": 142, "0874686241149902": 142, "087480068206787": 142, "087522029876709": 142, "08754301071167": 142, "087545394897461": 142, "0875582695007324": 142, "0875651836395264": 142, "0875699520111084": 142, "087592363357544": 142, "087594985961914": 142, "0876069068908691": 142, "087609052658081": 142, "0876140594482422": 142, "0876195430755615": 142, "0876312255859375": 142, "0876781940460205": 142, "0876812934875488": 142, "0876953601837158": 142, "087700605392456": 142, "0877070426940918": 142, "0877089500427246": 142, "0877106189727783": 142, "0877220630645752": 142, "087724208831787": 142, "0877256393432617": 142, "0877277851104736": 142, "0877317264676094": 142, "0877327919006348": 142, "0877532958984375": 142, "0877668857574463": 142, "0877736434340477": 142, "0877938270568848": 142, "0878126621246338": 142, "087813377380371": 142, "0878183841705322": 142, "0878267288208008": 142, "0878472328186035": 142, "0878536701202393": 142, "0878665447235107": 142, "0878746509552002": 142, "0878868103027344": 142, "0878872871398926": 142, "08790452778339386": 142, "08791732788086": 142, "08791875839233398": 142, "0879406929016113": 142, "0879452228546143": 142, "08795738220215": 142, "0879926681518555": 142, "08799827098846436": 142, "0880014896392822": 142, "0880017280578613": 142, "0880167484283447": 142, "0880215167999268": 142, "0880239009857178": 142, "0880260467529297": 142, "0880277156829834": 142, "0880472660064697": 142, "0880517959594727": 142, "0880534648895264": 142, "0880541801452637": 142, "0880579948425293": 142, "0880837440490723": 142, "0880963802337646": 142, "0881068706512451": 142, "0881154537200928": 142, "0881562232971191": 142, "0881617069244385": 142, "0881714820861816": 142, "0881931781768799": 142, "0882017612457275": 142, "088205337524414": 142, "088207483291626": 142, "0882232189178467": 142, "0882298946380615": 142, "0882365703582764": 142, "0882527828216553": 142, "0882556438446045": 142, "0882720947265625": 142, "088273525238037": 142, "0882782936096191": 142, "088289499282837": 142, "0883030891418457": 142, "08831024169922": 142, "0883195400238037": 142, "0883350372314453": 142, "0883684158325195": 142, "088371992111206": 142, "0883851051330566": 142, "0884010791778564": 142, "0884153842926025": 142, "0884208679199219": 142, "0884277820587158": 142, "088432788848877": 142, "0884716510772705": 142, "088475227355957": 142, "0884792804718018": 142, "0884814262390137": 142, "0885": [147, 149], "088503122329712": 142, "088526725769043": 142, "08854341506958": 142, "0885593891143799": 142, "0885629653930664": 142, "088569164276123": 142, "0885801315307617": 142, "0886096954345703": 142, "0886154174804688": 142, "0886237621307373": 142, "0886244773864746": 142, "0886247158050537": 142, "0886263847351074": 142, "0886332988739014": 142, "0886335372924805": 142, "088640213012695": 142, "0886411666870117": 142, "0886638164520264": 142, "0886716842651367": 142, "0886728763580322": 142, "0886895656585693": 142, "088691234588623": 142, "0886986255645752": 142, "0887000560760498": 142, "0887012481689453": 142, "0887160301208496": 142, "0887174606323242": 142, "0887508392333984": 142, "0887513160705566": 142, "0887529850006104": 142, "0887534618377686": 142, "088757038116455": 142, "088758945465088": 142, "0887715816497803": 142, "0887854099273682": 142, "088792085647583": 142, "088806390762329": 142, "088809967041016": 142, "08881378173828": 142, "088832139968872": 142, "0888323783874512": 142, "0888335704803467": 142, "0888440608978271": 142, "0888676643371582": 142, "0888972282409668": 142, "088897705078125": 142, "0889003276824951": 142, "0889058113098145": 142, "0889098644256592": 142, "0889134407043457": 142, "0889225006103516": 142, "0889310836791992": 142, "0889406204223633": 142, "088942289352417": 142, "0889549255371094": 142, "0889558792114258": 142, "0889561176300049": 142, "0889616012573242": 142, "0889654159545898": 142, "0889675617218018": 142, "0889697074890137": 142, "088972806930542": 142, "088977336883545": 142, "0890147686004639": 142, "0890157222747803": 142, "0890190601348877": 142, "089021682739258": 142, "08902359008789": 142, "089040756225586": 142, "0890507698059082": 142, "0890557765960693": 142, "0890655517578125": 142, "0890758037567139": 142, "0890800952911377": 142, "0891": 154, "0891056060791016": 142, "089113473892212": 142, "089127540588379": 142, "0891287326812744": 142, "089132785797119": 142, "089146375656128": 142, "0891485214233398": 142, "0891504287719727": 142, "08917": 139, "0891764163970947": 142, "0891892910003662": 142, "0891904830932617": 142, "08919358253479": 142, "0892024040222168": 142, "0892136096954346": 142, "089226245880127": 142, "0892384052276611": 142, "089247465133667": 142, "0892541408538818": 142, "0892598628997803": 142, "0892753601074219": 142, "0892794132232666": 142, "089332103729248": 142, "0893347263336182": 142, "0893568992614746": 142, "089360237121582": 142, "0893871784210205": 142, "0894098281860352": 142, "089414596557617": 142, "08941984921693802": 142, "0894367694854736": 142, "089437484741211": 142, "0894405841827393": 142, "0894420146942139": 142, "0894689559936523": 142, "0894718170166": 142, "08947229385376": 142, "0894877910614014": 142, "0895": 154, "089503526687622": 142, "0895037651062012": 142, "0895047187805176": 142, "0895071029663086": 142, "0895154476165771": 142, "0895190238952637": 142, "0895276069641113": 142, "0895376205444336": 142, "089562177658081": 142, "0895626544952393": 142, "0895872116088867": 142, "0895905494689941": 142, "0895979404449463": 142, "08961998671293259": 142, "0896236896514893": 142, "0896415710449219": 142, "0896475315093994": 142, "0896508693695068": 142, "0896611213684082": 142, "089672088623047": 142, "0896892547607422": 142, "0897135734558105": 142, "0897300243377686": 142, "0897331237792969": 142, "0897533893585205": 142, "0897603034973145": 142, "0897791385650635": 142, "0897855758666992": 142, "0898067951202393": 142, "08981025964021683": 142, "0898187160491943": 142, "0898244380950928": 142, "0898301601409912": 142, "0898475646972656": 142, "089848518371582": 142, "0898525714874268": 142, "0898680686950684": 142, "0898797512054443": 142, "0898945331573486": 142, "0898962020874023": 142, "0899": 154, "089921474456787": 142, "0899217128753662": 142, "0899224281311035": 142, "0899310111999512": 142, "0899379253387451": 142, "0899393558502197": 142, "0899608135223389": 142, "089961290359497": 142, "0899686813354492": 142, "0899755954742432": 142, "089979887008667": 142, "0899813175201416": 142, "0899901390075684": 142, "0899925231933594": 142, "089996576309204": 142, "08e": 147, "08it": [134, 147], "08m": 134, "09": [134, 142, 147, 151, 153, 154], "090": 134, "0900030136108398": 142, "0900142192840576": 142, "0900261402130127": 142, "0900344848632812": 142, "0900475978851318": 142, "0900826454162598": 142, "0900969505310059": 142, "090110778808594": 142, "0901241302490234": 142, "09014892578125": 142, "0901553630828857": 142, "090167999267578": 142, "0901823043823242": 142, "0902094841003418": 142, "0902280807495117": 142, "0902445316314697": 142, "090254545211792": 142, "0902669429779053": 142, "0902750492095947": 142, "0902793407440186": 142, "0902824401855469": 142, "0902841091156006": 142, "0902979373931885": 142, "0903024673461914": 142, "090315818786621": 142, "090317726135254": 142, "0903184413909912": 142, "0903289318084717": 142, "090329885482788": 142, "0903310775756836": 142, "0903372764587402": 142, "0903522968292236": 142, "0903552696108818": 142, "0903701782226562": 142, "0903809070587158": 142, "0903820991516113": 142, "0904030799865723": 142, "0904035568237305": 142, "0904130935668945": 142, "0904207229614258": 142, "0904359221458435": 142, "0904388427734375": 142, "0904436111450195": 142, "0904440879821777": 142, "0904591083526611": 142, "0904624462127686": 142, "0904650688171387": 142, "0904655456542969": 142, "090479850769043": 142, "0904841423034668": 142, "0904958248138428": 142, "09050941467285": 142, "0905516147613525": 142, "090559720993042": 142, "0905640125274658": 142, "09056427329778671": 142, "0905826091766357": 142, "0905990600585938": 142, "0906078815460205": 142, "0906248092651367": 142, "0906264781951904": 142, "0906565189361572": 142, "0906612873077393": 142, "0906720161437988": 142, "0906744003295898": 142, "0907173156738281": 142, "0907237529754639": 142, "090740442276001": 142, "0907416343688965": 142, "090742111206055": 142, "09075164794922": 142, "0907564163208008": 142, "0907700061798096": 142, "0907769203186035": 142, "090790033340454": 142, "0907936096191406": 142, "0907976627349854": 142, "0908002853393555": 142, "090827703475952": 142, "09082789719104767": 142, "09083253145217896": 142, "0908520221710205": 142, "0908684730529785": 142, "0908770561218262": 142, "0908825397491455": 142, "0908832550048828": 142, "0909063816070557": 142, "0909216403961182": 142, "0909218788146973": 142, "090935468673706": 142, "0909557342529297": 142, "09096097946167": 142, "090965986251831": 142, "0909850597381592": 142, "09098708629608154": 142, "091007947921753": 142, "0910232067108154": 142, "091040849685669": 142, "09104523062705994": 142, "09106333553791046": 142, "0910670757293701": 142, "0910787582397461": 142, "0910911560058594": 142, "0910942554473877": 142, "091097116470337": 142, "0911040306091309": 142, "091108322143555": 142, "0911142826080322": 142, "0911200046539307": 142, "0911202430725098": 142, "0911211967468262": 142, "0911378338932991": 142, "0911409854888916": 142, "0911481380462646": 142, "0911486148834229": 142, "0911598205566406": 142, "091172695159912": 142, "0911836624145508": 142, "0911879539489746": 142, "0911989212036133": 142, "0912139415740967": 142, "09122049063444138": 142, "0912246704101562": 142, "0912423133850098": 142, "091261863708496": 142, "0912690162658691": 142, "091278314590454": 142, "091280460357666": 142, "0912811756134033": 142, "0912833213806152": 142, "0913021564483643": 142, "0913336277008057": 142, "091341495513916": 142, "0913496017456055": 142, "0913615226745605": 142, "0913670063018799": 142, "0913925170898438": 142, "0914254188537598": 142, "0914363861083984": 142, "0914406776428223": 142, "0914428234100342": 142, "09144287556409836": 142, "0914437770843506": 142, "0914554595947266": 142, "0914640426635742": 142, "0914726257324219": 142, "0914783477783203": 142, "091495037078857": 142, "0915119647979736": 142, "0915284156799316": 142, "0915329456329346": 142, "091569185256958": 142, "0915794372558594": 142, "0915913581848145": 142, "0915939807891846": 142, "091604232788086": 142, "0916199684143066": 142, "09163498878479": 142, "0916409492492676": 142, "091644287109375": 142, "091675043106079": 142, "091676950454712": 142, "0916788578033447": 142, "0916831493377686": 142, "091684341430664": 142, "09169340133667": 142, "09170389175415": 142, "091705083847046": 142, "091710090637207": 142, "0917153358459473": 142, "0917234420776367": 142, "0917327404022217": 142, "0917515754699707": 142, "0917561054229736": 142, "0917925834655762": 142, "0918004512786865": 142, "0918140411376953": 142, "0918583869934082": 142, "0918614864349365": 142, "0918712615966797": 142, "0918934345245361": 142, "0919075012207031": 142, "0919272899627686": 142, "09193255752325058": 142, "091935157775879": 142, "0919454097747803": 142, "0919551849365234": 142, "0919594764709473": 142, "0919604301452637": 142, "0919644832611084": 142, "0919713973999023": 142, "0919957160949707": 142, "0920054912567139": 142, "0920376777648926": 142, "092064380645752": 142, "0920767784118652": 142, "0920791625976562": 142, "092088222503662": 142, "092106819152832": 142, "0921180248260498": 142, "0921437740325928": 142, "0921454429626465": 142, "0921502113342285": 142, "0921549797058105": 142, "0921707153320312": 142, "0921745300292969": 142, "092181921005249": 142, "092186450958252": 142, "0922002792358398": 142, "0922157764434814": 142, "092219591140747": 142, "0922250747680664": 142, "0922260284423828": 142, "09224779158830643": 142, "0922648906707764": 142, "0922775268554688": 142, "0923402309417725": 142, "0923573970794678": 142, "0923686027526855": 142, "0923750400543213": 142, "0923821926116943": 142, "0924162864685059": 142, "0924310684204102": 142, "0924372673034668": 142, "0924508571624756": 142, "0924649238586426": 142, "09246826171875": 142, "0924861431121826": 142, "0924980640411377": 142, "0925085544586182": 142, "0925114154815674": 142, "0925233364105225": 142, "0925462245941162": 142, "0925586223602295": 142, "0925838947296143": 142, "0926053524017334": 142, "092611312866211": 142, "0926125049591064": 142, "0926144123077393": 142, "0926203727722168": 142, "0926239490509033": 142, "0926399230957031": 142, "0926470756530762": 142, "092648983001709": 142, "0926663875579834": 142, "092679738998413": 142, "0926835536956787": 142, "092686653137207": 142, "0927016735076904": 142, "0927035808563232": 142, "0927059650421143": 142, "092717170715332": 142, "0927331447601318": 142, "092735767364502": 142, "0927402973175049": 142, "0927443504333496": 142, "0927646160125732": 142, "0927937030792236": 142, "0928053855895996": 142, "092806100845337": 142, "0928127765655518": 142, "092813491821289": 142, "0928196907043457": 142, "092820167541504": 142, "0928418636322021": 142, "0928475856781006": 142, "0928866863250732": 142, "0929219722747803": 142, "092942476272583": 142, "0929646492004395": 142, "0929954051971436": 142, "0929970741271973": 142, "09299898147583": 142, "0930149555206299": 142, "0930213928222656": 142, "093057632446289": 142, "0930750370025635": 142, "093083381652832": 142, "093090534210205": 142, "0931007862091064": 142, "093106746673584": 142, "0931110382080078": 142, "0931167602539062": 142, "0931334495544434": 142, "0931518077850342": 142, "093172311782837": 142, "0931811332702637": 142, "0931851863861084": 142, "0931894779205322": 142, "0932": 154, "0932002067565918": 142, "0932233333587646": 142, "093271255493164": 142, "0932848453521729": 142, "0932986736297607": 142, "093301773071289": 142, "0933027267456055": 142, "093306541442871": 142, "0933113098144531": 142, "0933208465576172": 142, "0933363437652588": 142, "093341827392578": 142, "0933425426483154": 142, "0933551788330078": 142, "0933997631072998": 142, "0934252738952637": 142, "0934603214263916": 142, "0934605598449707": 142, "093461275100708": 142, "0934710502624512": 142, "0935001373291016": 142, "0935018062591553": 142, "0935041904449463": 142, "0935215950012207": 142, "0935299396514893": 142, "0935602188110352": 142, "093595027923584": 142, "0935959815979004": 142, "093597412109375": 142, "0936036109924316": 142, "0936152935028076": 142, "093616485595703": 142, "0936279296875": 142, "0936453342437744": 142, "0936644077301025": 142, "09366774559021": 142, "0937": 154, "0937080383300781": 142, "0937185287475586": 142, "0937318801879883": 142, "093768835067749": 142, "0937693119049072": 142, "0937702655792236": 142, "0937871932983398": 142, "0937886238098145": 142, "0937902927398682": 142, "093792200088501": 142, "0938": [147, 149], "093801498413086": 142, "093809127807617": 142, "0938105583190918": 142, "09381464868783951": 142, "0938189029693604": 142, "09382128715515137": 142, "0938398838043213": 142, "0938604548573494": 142, "0938713550567627": 142, "0938763618469238": 142, "0938830375671387": 142, "0938918590545654": 142, "0938959121704102": 142, "0938968658447266": 142, "0938999652862549": 142, "093923568725586": 142, "0939319133758545": 142, "0939357280731201": 142, "0939629077911377": 142, "0939643383026123": 142, "0939805507659912": 142, "0939934253692627": 142, "094": 147, "0940399169921875": 142, "0940446853637695": 142, "0940837860107422": 142, "0940845012664795": 142, "094085693359375": 142, "094102382659912": 142, "0941252708435059": 142, "0941264629364014": 142, "0941424369812012": 142, "0942": [147, 149], "09420658648014069": 142, "09423986822366714": 142, "094243049621582": 142, "094268798828125": 142, "0942747592926025": 142, "09428607672452927": 142, "0943031311035156": 142, "0943248271942139": 142, "09435": 147, "0943639278411865": 142, "094376802444458": 142, "094383716583252": 142, "09439099": 151, "0943922996520996": 142, "09442315250635147": 142, "0944278240203857": 142, "09443747997283936": 142, "0944416522979736": 142, "0944559574127197": 142, "0944647789001465": 142, "094475269317627": 142, "094499111175537": 142, "0945050716400146": 142, "094515800476074": 142, "0945305824279785": 142, "0945310592651367": 142, "0945327281951904": 142, "0945377349853516": 142, "0945417881011963": 142, "0945470333099365": 142, "0945630073547363": 142, "0945837497711182": 142, "0946638584136963": 142, "0946645736694336": 142, "0946714878082275": 142, "0946834087371826": 142, "0946850776672363": 142, "09468674659729": 142, "0946924686431885": 142, "0946955680847168": 142, "09469562768936157": 142, "0946e": 147, "0947356224060059": 142, "0947468280792236": 142, "0947580337524414": 142, "0947673320770264": 142, "0947949886322021": 142, "094797134399414": 142, "0947978496551514": 142, "09480737894773483": 142, "0948097705841064": 142, "0948286056518555": 142, "0948476791381836": 142, "094855785369873": 142, "0948586463928223": 142, "094886064529419": 142, "0948925018310547": 142, "0948941707611084": 142, "0949018001556396": 142, "094935417175293": 142, "094966411590576": 142, "0949993133544922": 142, "095": [134, 147], "0950138568878174": 142, "0950276851654053": 142, "0950379371643066": 142, "095045804977417": 142, "0950665473937988": 142, "0950746536254883": 142, "0951019674539566": 142, "0951106548309326": 142, "095122337341309": 142, "0951285362243652": 142, "09513521194458": 142, "0951404571533203": 142, "0951452255249023": 142, "0951588153839111": 142, "09517291188240051": 142, "095198154449463": 142, "0952181816101074": 142, "095226526260376": 142, "095247745513916": 142, "0952482223510742": 142, "0952622890472412": 142, "0952625274658203": 142, "095266580581665": 142, "0952720642089844": 142, "0952963829040527": 142, "0953192710876465": 142, "0953435897827148": 142, "095360517501831": 142, "0953612327575684": 142, "095365285873413": 142, "0953764915466309": 142, "0953810214996338": 142, "095384120941162": 142, "0953896045684814": 142, "09539031982422": 142, "0953993797302246": 142, "095405101776123": 142, "095409870147705": 142, "0954248905181885": 142, "095463752746582": 142, "09549903869629": 142, "0955123901367188": 142, "09552567452192307": 142, "0955264568328857": 142, "095576524734497": 142, "095578908920288": 142, "0955982208251953": 142, "0956089496612549": 142, "0956284999847412": 142, "0956435203552246": 142, "0956785678863525": 142, "0956850051879883": 142, "0956923961639404": 142, "0956943035125732": 142, "0957002639770508": 142, "0957257747650146": 142, "0957362651824951": 142, "095738410949707": 142, "0957419872283936": 142, "0957551002502441": 142, "0957608222961426": 142, "0958025455474854": 142, "0958094596862793": 142, "0958397388458252": 142, "095853567123413": 142, "0958707332611084": 142, "0958843231201172": 142, "0958967208862305": 142, "0959007740020752": 142, "095919609069824": 142, "09593391418457": 142, "095942735671997": 142, "0959539413452148": 142, "0959618091583252": 142, "0959720611572266": 142, "0959951877593994": 142, "09602142125368118": 142, "0960237979888916": 142, "0960311889648438": 142, "09605401009321213": 142, "0960581302642822": 142, "0960781574249268": 142, "0960841178894043": 142, "096095323562622": 142, "09615166485309601": 142, "0961642265319824": 142, "0961685180664062": 142, "09617719054222107": 142, "096177339553833": 142, "0961833000183105": 142, "096203088760376": 142, "0962111949920654": 142, "0962352752685547": 142, "0962433815002441": 142, "0962626934051514": 142, "0962636470794678": 142, "0962727069854736": 142, "0963072776794434": 142, "0963134765625": 142, "0963163375854492": 142, "0963175296783447": 142, "0963234901428223": 142, "0963237285614014": 142, "0963244438171387": 142, "096327543258667": 142, "0963385105133057": 142, "096353530883789": 142, "0963566303253174": 142, "0964021682739258": 142, "096412181854248": 142, "0964291095733643": 142, "0964534282684326": 142, "0964696407318115": 142, "096470832824707": 142, "09650024026632309": 142, "0965032577514648": 142, "096513748168945": 142, "0965187549591064": 142, "096522569656372": 142, "096587896347046": 142, "0966": 154, "0966029167175293": 142, "0966145992279053": 142, "0966389179229736": 142, "0966830253601074": 142, "0966928005218506": 142, "09669828414917": 142, "0967130661010742": 142, "0967223644256592": 142, "096726894378662": 142, "0967304706573486": 142, "0967369079589844": 142, "0967581272125244": 142, "096771001815796": 142, "0967722162604332": 142, "0967724323272705": 142, "0967752933502197": 142, "0967774391174316": 142, "0967979431152344": 142, "0967984199523926": 142, "0968046188354492": 142, "0968143939971924": 142, "096815824508667": 142, "0968387126922607": 142, "09685772657394409": 142, "09686052799224854": 142, "096874713897705": 142, "0969023704528809": 142, "0969181060791": 142, "0969181060791016": 142, "0969276428222656": 142, "0969295501708984": 142, "0969312191009521": 142, "0969455242156982": 142, "0969562530517578": 142, "0969691276550293": 142, "096972942352295": 142, "0969741344451904": 142, "0969774723052979": 142, "097": 134, "0970182418823242": 142, "0970187187194824": 142, "0970468521118164": 142, "0970494747161865": 142, "097059726715088": 142, "0970721244812012": 142, "097081184387207": 142, "097085952758789": 142, "097095251083374": 142, "0970995426177979": 142, "097100019454956": 142, "0971143245697021": 142, "097118616104126": 142, "0971746444702148": 142, "0971896648406982": 142, "0971980094909668": 142, "097245693206787": 142, "0972540378570557": 142, "0972747802734375": 142, "0972819328308105": 142, "0972857475280762": 142, "0972979068756104": 142, "0973079204559326": 142, "0973398685455322": 142, "0973551273345947": 142, "0973687171936035": 142, "0973756313323975": 142, "0973854064941406": 142, "0973973274230957": 142, "097421646118164": 142, "097426414489746": 142, "0974276065826416": 142, "097527265548706": 142, "0975735187530518": 142, "0975754261016846": 142, "0975756645202637": 142, "0975775718688965": 142, "0975778102874756": 142, "0975840091705322": 142, "0975892543792725": 142, "0975894927978516": 142, "0975897312164307": 142, "0975942611694336": 142, "0975968837738037": 142, "0975987911224365": 142, "097609519958496": 142, "09761381149292": 142, "0976600646972656": 142, "0976667404174805": 142, "0977067947387695": 142, "0977210998535156": 142, "0977356433868408": 142, "0977375507354736": 142, "0977389812469482": 142, "09776415675878525": 142, "0977678298950195": 142, "097781181335449": 142, "0977904796600342": 142, "097811222076416": 142, "0978386402130127": 142, "097841262817383": 142, "0978515148162842": 142, "0978562831878662": 142, "0978577136993408": 142, "0978829860687256": 142, "0978891849517822": 142, "0979132652282715": 142, "0979297161102295": 142, "097944974899292": 142, "097963809967041": 142, "0979797840118408": 142, "097996473312378": 142, "0980": 151, "098010778427124": 142, "0980300903320312": 142, "0980348587036133": 142, "0980634689331055": 142, "0981261730194092": 142, "0981340408325195": 142, "0981502532959": 142, "098151445388794": 142, "09815216064453": 142, "098153829574585": 142, "0981590747833252": 142, "098172664642334": 142, "0981760025024414": 142, "0981805324554443": 142, "0981903076171875": 142, "0981941223144531": 142, "0981972217559814": 142, "0982": [147, 149], "0982110500335693": 142, "098215103149414": 142, "0982236862182617": 142, "098250389099121": 142, "098254680633545": 142, "0982556343078613": 142, "0982820987701416": 142, "0983004570007324": 142, "098311185836792": 142, "0983233451843262": 142, "098376989364624": 142, "0983810424804688": 142, "0983989238739014": 142, "0984137058258057": 142, "098437786102295": 142, "0984723567962646": 142, "0985381603240967": 142, "0985443592071533": 142, "0985970497131348": 142, "0985987186431885": 142, "0986003875732422": 142, "0986237525939941": 142, "098636627197266": 142, "0986487865447998": 142, "0986602306365967": 142, "098663091659546": 142, "0986711978912354": 142, "0986907482147217": 142, "0986990928649902": 142, "098710298538208": 142, "0987119674682617": 142, "09871263802051544": 142, "0987162590026855": 142, "0987255647778511": 142, "0987436771392822": 142, "0987608432769775": 142, "0987765789031982": 142, "0988152027130127": 142, "09883899986743927": 142, "098844051361084": 142, "098846435546875": 142, "09885573387146": 142, "0988597869873047": 142, "0988776683807373": 142, "0988807678222656": 142, "0989": 154, "098900556564331": 142, "0989251136779785": 142, "098933458328247": 142, "098940134048462": 142, "0989415645599365": 142, "098941802978516": 142, "0989558696746826": 142, "098989486694336": 142, "0990259647369385": 142, "0990324020385742": 142, "0990438386797905": 142, "0990509986877441": 142, "0990550518035889": 142, "0990934371948242": 142, "0991225242614746": 142, "09913759c6e0f8d649f7ec9dff9e0e8b": 131, "099170446395874": 142, "0991909503936768": 142, "0992": [147, 149], "09920255839824677": 142, "0992248058319092": 142, "0992333889007568": 142, "099238395690918": 142, "099257230758667": 142, "0992586612701416": 142, "0992615222930908": 142, "0992748737335205": 142, "099277973175049": 142, "0992836952209473": 142, "0993139743804932": 142, "0993387699127197": 142, "0993425846099854": 142, "0993554592132568": 142, "0993640422821045": 142, "099367141723633": 142, "0993883609771729": 142, "0994093418121338": 142, "099428653717041": 142, "0994491577148438": 142, "0994787216186523": 142, "0994951725006104": 142, "0995": 151, "0995333194732666": 142, "0995378494262695": 142, "0995490550994873": 142, "099595546722412": 142, "0996050834655762": 142, "0996112823486328": 142, "099628210067749": 142, "0996551513671875": 142, "099698543548584": 142, "099705457687378": 142, "0997118949890137": 142, "099717378616333": 142, "0997252464294434": 142, "0997488498687744": 142, "099784": 147, "0997841358184814": 142, "0997881889343262": 142, "0997896194458008": 142, "0997898578643799": 142, "099792242050171": 142, "0997939109802246": 142, "0997953414916992": 142, "0998120307922363": 142, "0998265743255615": 142, "0998365879058838": 142, "0998408794403076": 142, "099841594696045": 142, "0998694896697998": 142, "0998849868774414": 142, "0999": 151, "09990": 139, "0999207496643066": 142, "0999364852905273": 142, "0999383926391602": 142, "0999467372894287": 142, "09995968639850616": 142, "0999739170074463": 142, "09997453540563583": 142, "0999796390533447": 142, "0999877452850342": 142, "09e": 147, "09it": 147, "09m": 134, "0_0": [138, 147], "0c04525": [129, 139, 146], "0cf2ce56049ca395c567026b700ed66c94a85161": 132, "0g": 129, "0it": 134, "1": [0, 1, 4, 14, 15, 19, 25, 26, 31, 32, 33, 34, 36, 37, 38, 40, 44, 51, 52, 53, 56, 58, 60, 64, 66, 69, 70, 71, 73, 76, 77, 79, 80, 81, 82, 85, 92, 94, 98, 99, 101, 103, 104, 105, 106, 107, 112, 116, 117, 121, 122, 128, 130, 132, 133, 134, 135, 138, 139, 140, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "10": [32, 36, 38, 41, 51, 52, 66, 79, 82, 94, 99, 100, 101, 103, 107, 129, 132, 133, 134, 138, 139, 142, 144, 146, 147, 149, 151, 153, 154, 156, 157], "100": [13, 19, 25, 27, 45, 46, 125, 126, 127, 134, 138, 139, 142, 144, 147, 148, 149, 151, 153, 154, 157, 158], "1000": [132, 138, 147, 148, 154, 157], "10000": 142, "1000000": 129, "1000000000": 17, "1000056266784668": 142, "10003": 142, "100032806396484": 142, "10004": 142, "1000823974609375": 142, "10009": 142, "1001": [138, 148], "10010": 142, "1001012": 142, "1001016": 142, "1001017": 142, "1001022": 142, "1001159": 142, "10011887550354": 142, "1001248359680176": 142, "100130558013916": 142, "1001322269439697": 142, "10014": 142, "10015": 142, "1001653671264648": 142, "1001737117767334": 142, "1001793": 142, "1001801490783691": 142, "1001836": 142, "100186824798584": 142, "1001901626586914": 142, "1002": 134, "1002063": 142, "10020702332258224": 142, "10021": 142, "1002106": 142, "1002114": 142, "1002122": 142, "1002123": 142, "1002283096313477": 142, "1002488136291504": 142, "10025": 142, "1002581119537354": 142, "10026": 142, "1002914905548096": 142, "100294828414917": 142, "10032": 142, "100320816040039": 142, "10033": 142, "10033107548952103": 142, "1003509": 142, "1003670692443848": 142, "1003682613372803": 142, "1003687381744385": 142, "10037": 142, "1003904342651367": 142, "1003942489624023": 142, "1004114151000977": 142, "1004126071929932": 142, "1004176139831543": 142, "1004517078399658": 142, "10046": 142, "10047": 142, "10049": 142, "1005": 142, "10052": 142, "10054": 142, "1005425453186035": 142, "1005496978759766": 142, "1005756855010986": 142, "1005947589874268": 142, "1005986": 142, "1006019115447998": 142, "1006107330322266": 142, "1006118": 142, "1006132": 142, "1006183624267578": 142, "1006224155426025": 142, "10063": 142, "100649356842041": 142, "1006526947021484": 142, "1006577014923096": 142, "1006584167480469": 142, "1006686687469482": 142, "1006888": 142, "1006kb": 134, "1006m": 129, "1007072925567627": 142, "100710391998291": 142, "100724458694458": 142, "1007297039031982": 142, "1007299423217773": 142, "1007323265075684": 142, "1007392406463623": 142, "10074": 142, "1007487773895264": 142, "1007492542266846": 142, "100759506225586": 142, "10076": 142, "1007635593414307": 142, "1007637": 142, "1007652": 142, "1007656": 142, "1007685": 142, "100768804550171": 142, "1007691": 142, "1007692": 142, "1007730": 142, "1007755": 142, "1007758": 142, "1007760": 142, "1007786": 142, "1007855": 142, "1007857": 142, "1007923": 142, "1007974": 142, "1007976": 142, "1008224": 142, "1008245944976807": 142, "1008274": 142, "1008349": 142, "1008424758911133": 142, "1008488": 142, "1008555": 142, "1008556": 142, "1008601": 142, "1008624": 142, "1008626": 142, "1008632": 142, "1008634": 142, "1008680": 142, "1008728": 142, "1008874": 142, "100898265838623": 142, "1009": 142, "10091233253479": 142, "1009130": 142, "1009133": 142, "1009152": 142, "1009222": 142, "1009460": 142, "1009581": 142, "1009641": 142, "1009654": 142, "1009657": 142, "100968599319458": 142, "1009730": 142, "1009733": 142, "1009755": 142, "1009756": 142, "1009769439697266": 142, "10098": 142, "1009812355041504": 142, "1009834": 142, "1009886264801025": 142, "1009k": 134, "1009kb": 134, "100k": [134, 139, 144, 147, 158], "101": [134, 142, 147, 149], "1010024547576904": 142, "101008653640747": 142, "1010136": 142, "101017951965332": 142, "10103178024292": 142, "10106": 142, "1010699272155762": 142, "1010801792144775": 142, "1010856628417969": 142, "1010kb": 134, "1011009216308594": 142, "1011261940002441": 142, "1011598110198975": 142, "1011607646942139": 142, "1011645793914795": 142, "1011695": 142, "1011696": 142, "1011709": 142, "1012": 154, "101200103759766": 142, "1012089252471924": 142, "1012110": 142, "1012418270111084": 142, "1012435": 142, "10125": 142, "1012563705444336": 142, "101264238357544": 142, "1012659072875977": 142, "101283311843872": 142, "1012916564941406": 142, "1013": 154, "101311206817627": 142, "1013190746307373": 142, "1013200283050537": 142, "1013414859771729": 142, "101348638534546": 142, "1013525": 142, "1013526": 142, "1013545": 142, "1013548": 142, "1013550": 142, "1013554": 142, "1013555": 142, "1013558": 142, "1013579368591309": 142, "1013588": 142, "1013643": 142, "1013760": 142, "1013900": 142, "1013e": 147, "1014": 142, "1014044284820557": 142, "1014111": 142, "1014137268066406": 142, "1014160": 142, "1014204": 142, "1014219": 142, "1014226": 142, "1014227": 142, "1014229": 142, "1014230": 142, "1014231": 142, "1014235019683838": 142, "1014244": 142, "1014251": 142, "1014252": 142, "1014257": 142, "1014265": 142, "1014303": 142, "1014318": 142, "1014323234558105": 142, "1014345": 142, "1014358": 142, "1014369": 142, "1014379": 142, "1014420986175537": 142, "1014558": 142, "1014583110809326": 142, "1015102863311768": 142, "1015281677246094": 142, "10154": 142, "1015434265136719": 142, "10155": 142, "1015682220458984": 142, "10157": 142, "10159": 142, "1015901565551758": 142, "1015965938568115": 142, "1016": 147, "1016030311584473": 142, "1016051769256592": 142, "10161": 142, "1016106": 142, "1016108": 142, "1016109": 142, "1016111373901367": 142, "1016206741333008": 142, "10163": 142, "10164": 142, "10165": 142, "10166": 142, "1016693115234375": 142, "10167": 142, "101670742034912": 142, "1016724109649658": 142, "1016864776611328": 142, "1016888618469238": 142, "10172": 142, "1017327308654785": 142, "10173410177230835": 142, "101736068725586": 142, "1017515": 142, "1017529": 142, "1017531": 142, "1017534": 142, "1017540": 142, "1017541": 142, "1017543": 142, "1017545": 142, "101755142211914": 142, "1017553": 142, "1017554": 142, "1017565": 142, "1017567": 142, "1017632": 142, "1017646789550781": 142, "101789951324463": 142, "1017981": 142, "1017983": 142, "1017985": 142, "1017987": 142, "1018": 158, "1018019": 142, "1018020": 142, "1018021": 142, "1018022": 142, "1018027": 142, "1018028": 142, "1018029": 142, "1018046": 142, "1018050": 142, "1018051": 142, "1018054": 142, "1018055": 142, "1018056": 142, "1018059": 142, "1018060": 142, "1018062": 142, "1018066": 142, "1018068": 142, "1018071": 142, "1018072": 142, "1018076": 142, "1018084": 142, "1018085": 142, "1018100": 142, "1018102": 142, "1018103": 142, "1018104": 142, "1018105": 142, "1018107": 142, "1018113": 142, "1018115": 142, "1018116": 142, "1018121": 142, "1018123": 142, "1018124": 142, "1018125": 142, "1018128": 142, "1018129": 142, "1018148": 142, "1018149": 142, "1018150": 142, "1018151": 142, "1018153": 142, "1018154": 142, "1018156": 142, "1018157": 142, "1018166": 142, "1018179": 142, "1018195152282715": 142, "1018457412719727": 142, "1018478870391846": 142, "10184814780950546": 142, "1018652": 142, "1018657": 142, "1018658": 142, "1018672": 142, "1018673": 142, "1018709": 142, "1018713": 142, "1018714": 142, "1018717": 142, "1018720": 142, "1018722": 142, "1018726": 142, "1018736": 142, "1018802": 142, "1018803": 142, "1018804": 142, "1018806": 142, "1018807": 142, "1018809": 142, "1018811": 142, "1018812": 142, "10188179463148117": 142, "1018823": 142, "1018869876861572": 142, "1018891": 142, "1018915176391602": 142, "1018948": 142, "1018948554992676": 142, "1019": [142, 147, 149, 151], "1019052": 142, "1019077": 142, "1019087": 142, "1019104": 142, "101912260055542": 142, "1019259": 142, "1019276": 142, "1019277": 142, "1019279": 142, "1019280": 142, "1019319": 142, "1019322": 142, "1019378": 142, "10195007175207138": 142, "1019576": 142, "1019578": 142, "10198": 142, "1019823551177979": 142, "10199": 142, "102": [134, 142, 147], "1020": 142, "1020076274871826": 142, "10201": 142, "1020183563232422": 142, "102027177810669": 142, "102027416229248": 142, "1020276546478271": 142, "1020398139953613": 142, "10204": 142, "1020493507385254": 142, "1020495891571045": 142, "1020522117614746": 142, "102062225341797": 142, "1020641326904297": 142, "1020689010620117": 142, "1020712": 142, "1020750999450684": 142, "10208": 142, "102095127105713": 142, "1020987033843994": 142, "1021": [129, 132, 139, 146, 151, 153], "10212": 142, "1021328": 142, "10214": 142, "1021465": 142, "1021494": 142, "1021498": 142, "1021509170532227": 142, "10215254873037338": 142, "1021530628204346": 142, "1022": 142, "102219820022583": 142, "1022202968597412": 142, "1022231578826904": 142, "1022281646728516": 142, "10223": 142, "10224": 142, "10225": 142, "10226": 142, "1022672653198242": 142, "1022721": 142, "1022725": 142, "1022741794586182": 142, "10228": 142, "10229": 142, "1022kb": 134, "1023": 154, "1023054122924805": 142, "10230827331543": 142, "1023129": 142, "102318286895752": 142, "10232": 142, "1023428440093994": 142, "102351427078247": 142, "1023707389831543": 142, "1023838520050049": 142, "10238701850175858": 142, "1023900": 142, "1023900508880615": 142, "1023924": 142, "1023925": 142, "1023926": 142, "1023928": 142, "1023929": 142, "1023931": 142, "1023933": 142, "1023934": 142, "1023935": 142, "1023936": 142, "1023937": 142, "1023938": 142, "1023939": 142, "1023940": 142, "1023941": 142, "1023942": 142, "1023943": 142, "1023948": 142, "1023953": 142, "1023954": 142, "1023959": 142, "1023998260498047": 142, "1024": [142, 147], "10240": 142, "1024047": 142, "1024048": 142, "1024049": 142, "1024050": 142, "1024051": 142, "1024052": 142, "1024067": 142, "1024069": 142, "1024070": 142, "1024072": 142, "1024076": 142, "10244": 142, "1024420261383057": 142, "10245": 142, "10246": 142, "102475881576538": 142, "1024913787841797": 142, "1024958": 142, "1024974": 142, "1025021076202393": 142, "1025039": 142, "1025044": 142, "1025045": 142, "1025047": 142, "1025067": 142, "1025151": 142, "1025159": 142, "1025161": 142, "1025165": 142, "1025167": 142, "1025173": 142, "1025176": 142, "1025180": 142, "1025182": 142, "1025185": 142, "1025187": 142, "1025190": 142, "1025191": 142, "1025193": 142, "1025195": 142, "1025201": 142, "1025203": 142, "1025207": 142, "1025212": 142, "1025213": 142, "1025218": 142, "1025219": 142, "1025220": 142, "1025222": 142, "1025223": 142, "1025224": 142, "1025229": 142, "1025232": 142, "1025235": 142, "1025236": 142, "1025239": 142, "1025241": 142, "1025242": 142, "1025248": 142, "1025252": 142, "1025258": 142, "1025263": 142, "1025269": 142, "1025270": 142, "1025271": 142, "1025272": 142, "1025276184082031": 142, "1025278": 142, "1025279": 142, "1025281": 142, "1025282": 142, "1025291": 142, "1025293": 142, "1025294": 142, "1025296": 142, "1025301": 142, "1025302": 142, "1025304": 142, "1025304794311523": 142, "1025306": 142, "1025311": 142, "1025313": 142, "1025315": 142, "1025318": 142, "1025322": 142, "1025324": 142, "1025329": 142, "1025331": 142, "1025340": 142, "1025344": 142, "1025345": 142, "102534532546997": 142, "1025346": 142, "1025347": 142, "1025348": 142, "1025353": 142, "1025355": 142, "1025356": 142, "1025359": 142, "1025365": 142, "1025366": 142, "1025368": 142, "1025370": 142, "1025371": 142, "1025375": 142, "1025378": 142, "1025380": 142, "1025385": 142, "1025386": 142, "1025396": 142, "1025397": 142, "1025402": 142, "1025425": 142, "1025447": 142, "1025448": 142, "1025457": 142, "1025459": 142, "1025497": 142, "1025513": 142, "1025517": 142, "1025549": 142, "1025550": 142, "1025551": 142, "1025557": 142, "1025571": 142, "1025572": 142, "1025573": 142, "1025575": 142, "1025576": 142, "1025577": 142, "1025584": 142, "1025586": 142, "1025587": 142, "1025588": 142, "1025599": 142, "1025629": 142, "1025649": 142, "102567195892334": 142, "1025678": 142, "1025689": 142, "1025690": 142, "10257": 142, "1025728": 142, "1025733": 142, "1025769": 142, "1025787": 142, "1025799": 142, "1025815": 142, "1025819": 142, "1025853157043457": 142, "1025874": 142, "1025876": 142, "10259": 142, "1025905": 142, "1025906": 142, "1025911": 142, "1025922": 142, "1025925": 142, "1025986": 142, "1025988": 142, "10260": 142, "1026020": 142, "1026034": 142, "10261": 142, "102618932723999": 142, "1026313304901123": 142, "1026348": 142, "1026349": 142, "1026351": 142, "1026356": 142, "1026362": 142, "10264": 142, "1026620864868164": 142, "102674961090088": 142, "1026809215545654": 142, "1026887893676758": 142, "10269147902727127": 142, "1026916": 142, "1026980": 142, "1027": 142, "10271": 142, "102710485458374": 142, "1027133464813232": 142, "1027207374572754": 142, "1027269": 142, "1027273": 142, "102729082107544": 142, "1027335": 142, "1027358": 142, "1027400493621826": 142, "1027412": 142, "1027412414550781": 142, "1027414798736572": 142, "1027483": 142, "1027492": 142, "102750301361084": 142, "1027525": 142, "1027543544769287": 142, "1027569": 142, "1027576923370361": 142, "1027580": 142, "1027608": 142, "1027642": 142, "1027645": 142, "1027647": 142, "102766036987305": 142, "1027682": 142, "1027683": 142, "1027687": 142, "1027692": 142, "1027696": 142, "1027738": 142, "1027761": 142, "1027890": 142, "1027941703796387": 142, "1028": 142, "10281": 142, "1028227806091309": 142, "1028409": 142, "1028414": 142, "1028420": 142, "1028441": 142, "1028452": 142, "1028459": 142, "1028487": 142, "1028488": 142, "1028492": 142, "1028514": 142, "1028526": 142, "102853775024414": 142, "1028558": 142, "1028576": 142, "1028586": 142, "1028589": 142, "1028594": 142, "1028598": 142, "10286": 142, "1028604": 142, "1028649806976318": 142, "1028663": 142, "1028686": 142, "1028690": 142, "1028698": 142, "10287": 142, "1028731": 142, "1028749": 142, "1028755": 142, "1028761": 142, "1028762": 142, "1028764": 142, "1028769": 142, "1028772": 142, "1028823": 142, "1028869": 142, "1028947830200195": 142, "1028978": 142, "1029246": 142, "1029256": 142, "1029257": 142, "1029258": 142, "1029262": 142, "1029267": 142, "1029269": 142, "1029274463653564": 142, "1029275": 142, "1029293": 142, "1029309": 142, "1029312": 142, "1029313": 142, "1029316": 142, "1029330": 142, "1029334": 142, "1029337": 142, "1029347": 142, "1029349": 142, "1029354": 142, "1029357": 142, "1029359": 142, "1029367": 142, "1029387": 142, "1029396": 142, "1029403": 142, "1029404": 142, "1029407": 142, "1029418": 142, "1029420": 142, "1029422": 142, "1029444": 142, "10294508934021": 142, "102945327758789": 142, "1029458": 142, "1029466": 142, "1029469": 142, "1029479": 142, "1029491": 142, "1029506": 142, "1029531": 142, "1029532": 142, "1029542": 142, "1029550": 142, "1029569": 142, "1029574": 142, "1029580": 142, "1029595": 142, "1029603481292725": 142, "1029605": 142, "1029610": 142, "102961540222168": 142, "1029633": 142, "1029655": 142, "1029656": 142, "1029659": 142, "1029660": 142, "1029677": 142, "1029681": 142, "1029686": 142, "1029689": 142, "1029711": 142, "1029719": 142, "1029730": 142, "1029733": 142, "1029737": 142, "1029741": 142, "1029750": 142, "1029771": 142, "1029773": 142, "1029779": 142, "1029782": 142, "102978229522705": 142, "1029784679412842": 142, "1029799": 142, "1029811": 142, "1029832": 142, "1029838": 142, "1029860": 142, "1029878": 142, "1029899": 142, "1029915": 142, "1029921": 142, "1029943": 142, "1029959": 142, "1029975": 142, "103": [142, 147], "1030": 142, "10300": 142, "1030073165893555": 142, "1030106": 142, "1030108": 142, "1030119": 142, "1030155": 142, "1030274": 142, "1030319": 142, "1030331": 142, "1030393": 142, "10304407775402069": 142, "1030447": 142, "1030461": 142, "1030504": 142, "1030565": 142, "1030709": 142, "1030721": 142, "1030732": 142, "1030771732330322": 142, "1031": 154, "10311": 142, "1031181812286377": 142, "10312": 142, "1031272411346436": 142, "103133201599121": 142, "103140115737915": 142, "103151559829712": 142, "1031546592712402": 142, "103158712387085": 142, "1032023429870605": 142, "1032085418701172": 142, "1032116413116455": 142, "103215217590332": 142, "1032209396362305": 142, "1032638549804688": 142, "1032812595367432": 142, "1032910346984863": 142, "1032969951629639": 142, "1033077239990234": 142, "103320598602295": 142, "1033222675323486": 142, "103334903717041": 142, "1033411026000977": 142, "10336752235889435": 142, "1033687591552734": 142, "1033718585968018": 142, "10341215133667": 142, "1034164428710938": 142, "1034235954284668": 142, "1034274101257324": 142, "1034417152404785": 142, "1035": 154, "1035041809082031": 142, "1035189628601074": 142, "10353022813796997": 142, "1035358905792236": 142, "1035690307617188": 142, "1035747528076172": 142, "10357666015625": 142, "10359": 142, "1036086082458496": 142, "10366": 142, "103661060333252": 142, "10368": 142, "1036851406097412": 142, "1036887168884277": 142, "1037": [147, 149, 154], "10371": 142, "103710412979126": 142, "1037161350250244": 142, "10373": 142, "10374": 142, "1037423610687256": 142, "1037654876708984": 142, "10378": 142, "10379": 142, "1037919521331787": 142, "10381": 142, "1038198471069336": 142, "10382652282715": 142, "103874683380127": 142, "10388": 142, "1038828": 142, "1038861274719238": 142, "1038904190063477": 142, "1038928031921387": 142, "1039": 156, "10390330106019974": 142, "1039059162139893": 142, "1039147": 142, "1039262": 142, "1039392948150635": 142, "10394": 142, "1039559841156006": 142, "1039776802062988": 142, "1039910316467285": 142, "103991985321045": 142, "1039948463439941": 142, "104": [142, 147], "1040170192718506": 142, "1040191650390625": 142, "1040289402008057": 142, "1040332317352295": 142, "1040430068969727": 142, "1040453": 142, "104051113128662": 142, "1040515899658203": 142, "1040797233581543": 142, "10408": 142, "1040935516357422": 142, "104109287261963": 142, "10412": 142, "10414457321167": 142, "1041724681854248": 142, "1041755676269531": 142, "10419": 142, "1042": 142, "10428": 142, "10430": 142, "10430500e": [147, 149], "1043117046356201": 142, "1043190956115723": 142, "1043202877044678": 142, "1043317317962646": 142, "10433568805456161": 142, "10435": 142, "1043517589569092": 142, "104353427886963": 142, "1043574810028076": 142, "10435771942138672": 142, "1043586730957031": 142, "1043825149536133": 142, "1044": 154, "10441": 142, "10445": 142, "1044557094573975": 142, "10446": 142, "10447683930397034": 142, "1044936180114746": 142, "104501485824585": 142, "1045069694519043": 142, "10452140122652054": 142, "1045238971710205": 142, "1045336723327637": 142, "1045417": 142, "1045419": 142, "1045434474945068": 142, "1045465": 142, "1045492": 142, "10455": 142, "1045522689819336": 142, "10456": 142, "1045684814453125": 142, "10457": 142, "1045963764190674": 142, "1046": [142, 153], "1046066284179688": 142, "1046199798583984": 142, "1046228408813477": 142, "1046247482299805": 142, "104658603668213": 142, "104661226272583": 142, "1046772003173828": 142, "10468222945928574": 142, "10469": 142, "1046943664550781": 142, "10469651222229": 142, "1047": [142, 151], "10470": 142, "1047179698944092": 142, "104720115661621": 142, "104731559753418": 142, "1047356128692627": 142, "104750156402588": 142, "1047508716583252": 142, "1047658920288086": 142, "1047687530517578": 142, "1048": 142, "1048130989074707": 142, "104823350906372": 142, "1048505306243896": 142, "104853630065918": 142, "1048593": 142, "1048662": 142, "10487": 142, "104882001876831": 142, "1048955917358398": 142, "1049": 142, "1049134731292725": 142, "1049282550811768": 142, "104964017868042": 142, "104973554611206": 142, "104992151260376": 142, "1049973964691162": 142, "105": [142, 147], "1050": 142, "1050007343292236": 142, "1050024032592773": 142, "10500968992710114": 142, "1050169467926025": 142, "1050186157226562": 142, "105029821395874": 142, "10506010055542": 142, "1050693988800049": 142, "1050946712493896": 142, "1050949096679688": 142, "1050e": 148, "1051363945007324": 142, "105144739151001": 142, "10515177249908447": 142, "1051547527313232": 142, "1051726341247559": 142, "10519": 142, "105196475982666": 142, "1052": 142, "1052007675170898": 142, "1052024364471436": 142, "10521": 142, "105217695236206": 142, "105230808258057": 142, "1052312850952148": 142, "105234146118164": 142, "1052443981170654": 142, "105246067047119": 142, "105255126953125": 142, "1052625179290771": 142, "10527": 142, "1052799224853516": 142, "1053": 148, "10532219707965851": 142, "1053259372711182": 142, "1053273677825928": 142, "10533": 142, "10534270852804184": 142, "105344772338867": 142, "1053466796875": 142, "105396032333374": 142, "1054": 147, "1054072380065918": 142, "1054158210754395": 142, "105419397354126": 142, "1054258346557617": 142, "1054468154907227": 142, "1054563522338867": 142, "1054575443267822": 142, "1054604053497314": 142, "105461597442627": 142, "105468511581421": 142, "105484962463379": 142, "1055278778076172": 142, "10554": 142, "1055762767791748": 142, "1055831909179688": 142, "1055879592895508": 142, "105593204498291": 142, "1055940": 142, "1055994": 142, "1056": 154, "1056037": 142, "1056241989135742": 142, "1056294441223145": 142, "1056308": 142, "105634689331055": 142, "10564": 142, "1056438": 142, "1056486": 142, "1056535243988037": 142, "1056787967681885": 142, "1056792736053467": 142, "1056795120239258": 142, "1056811809539795": 142, "105682373046875": 142, "1056985": 142, "1057": 142, "1057015": 142, "1057086": 142, "10572": 142, "1057273": 142, "1057286": 142, "1057512760162354": 142, "1057538986206055": 142, "1057785": 142, "1057956218719482": 142, "1058168411254883": 142, "1058220863342285": 142, "1058495044708252": 142, "10585322231054306": 142, "1058578491210938": 142, "1058602333068848": 142, "1058696": 142, "10589599609375": 142, "1058979034423828": 142, "1058993339538574": 142, "1059041023254395": 142, "10596": 142, "10596268624067307": 142, "10598": 142, "1059844493865967": 142, "1059956550598145": 142, "1059972": 142, "106": [134, 147], "1060147285461426": 142, "1060411930084229": 142, "1060433387756348": 142, "1060435": 142, "1060495376586914": 142, "10607258975505829": 142, "1061115264892578": 142, "1061133": 142, "106121301651001": 142, "1061322689056396": 142, "1061663627624512": 142, "1061670780181885": 142, "10617409646511078": 142, "1061769": 142, "1061794757843018": 142, "1061830520629883": 142, "1061861": 142, "1062030": 142, "106203556060791": 142, "1062076091766357": 142, "10621": 142, "1062121391296387": 142, "1062153": 142, "1062207221984863": 142, "1062226295471191": 142, "1062376499176025": 142, "1062517166137695": 142, "1062567234039307": 142, "1062620": 142, "1062758": 142, "1062804": 142, "1062886714935303": 142, "1062948": 142, "1063": [147, 149], "10630464553833": 142, "1063146591186523": 142, "1063245": 142, "1063314": 142, "1063561": 142, "10636": [134, 142], "1063670": 142, "1063759326934814": 142, "10638": 142, "1063938": 142, "1064013": 142, "1064170": 142, "1064220": 142, "1064227": 142, "1064233779907227": 142, "106426477432251": 142, "1064359": 142, "1064367294311523": 142, "10644": 142, "1064453125": 142, "1064497": 142, "1064517498016357": 142, "106452941894531": 142, "1064554": 142, "1064560413360596": 142, "1064606": 142, "106485366821289": 142, "1064854": 142, "1064952": 142, "1064981": 142, "1065011024475098": 142, "10652732849121": 142, "1065287590026855": 142, "1065309": 142, "1065359": 142, "1065394": 142, "1065399646759033": 142, "10654": 142, "106548547744751": 142, "1065495014190674": 142, "1065751": 142, "1065753": 142, "10658342391252518": 142, "106588363647461": 142, "106593370437622": 142, "1065995": 142, "1066067218780518": 142, "1066078": 142, "1066086292266846": 142, "1066131": 142, "1066136": 142, "1066232": 142, "1066254": 142, "1066267490386963": 142, "1066274": 142, "106637954711914": 142, "1066400": 142, "1066445": 142, "1066465377807617": 142, "106647253036499": 142, "1066508293151855": 142, "106652021408081": 142, "1066551208496094": 142, "106658935546875": 142, "1066679954528809": 142, "10667": 142, "1066718": 142, "1066725254058838": 142, "1066921": 142, "10670": 142, "10671": 142, "1067163944244385": 142, "1067210": 142, "1067236": 142, "1067248": 142, "1067332848906517": 142, "106735229492188": 142, "1067475": 142, "10675": 142, "1067531108856201": 142, "1067587": 142, "10676": 142, "1067627": 142, "1067664": 142, "10677": 142, "1067744": 142, "1067758": 142, "1067880": 142, "1067925": 142, "1067933": 142, "1067974": 142, "1068": 142, "1068053": 142, "1068157": 142, "1068167": 142, "1068235": 142, "1068239": 142, "1068250": 142, "1068286": 142, "1068300": 142, "1068331": 142, "106839656829834": 142, "1068446": 142, "1068463325500488": 142, "1068464": 142, "1068484": 142, "1068487167358398": 142, "1068510": 142, "1068587": 142, "10686492919922": 142, "1068653": 142, "1068706512451172": 142, "1068746": 142, "1068786": 142, "1068813": 142, "1068878173828125": 142, "1068891": 142, "1068921089172363": 142, "1068941": 142, "1068944931030273": 142, "1069": 142, "1069057": 142, "1069133281707764": 142, "1069139": 142, "10692": 142, "1069270": 142, "1069288": 142, "1069328784942627": 142, "1069340705871582": 142, "1069362163543701": 142, "10695": 142, "1069520": 142, "1069533": 142, "1069538593292236": 142, "1069600582122803": 142, "1069604": 142, "1069614887237549": 142, "106963872909546": 142, "1069679260253906": 142, "10697": 142, "1069706": 142, "1069771": 142, "1069811": 142, "1069815": 142, "1069824": 142, "1069841": 142, "1069956": 142, "107": [134, 145, 147], "1070": 142, "1070099": 142, "1070103": 142, "1070151": 142, "1070152": 142, "1070177555084229": 142, "1070356": 142, "1070375": 142, "1070391": 142, "107039451599121": 142, "1070483": 142, "1070498": 142, "1070544": 142, "1070557": 142, "1070580": 142, "1070613": 142, "1070659160614014": 142, "1070713": 142, "1070735": 142, "107074499130249": 142, "1070755": 142, "1070869": 142, "1071018": 142, "1071032": 142, "1071069240570068": 142, "1071078": 142, "10711": 142, "1071127": 142, "1071193218231201": 142, "1071230": 142, "1071264743804932": 142, "1071269": 142, "1071278": 142, "1071288": 142, "1071293": 142, "1071369647979736": 142, "107144594192505": 142, "1071512699127197": 142, "1071538925170898": 142, "1071623": 142, "1071645": 142, "1071720": 142, "1071737": 142, "1071777": 142, "1071862": 142, "1071876": 142, "1071955": 142, "1072": 142, "1072053909301758": 142, "1072070598602295": 142, "1072086": 142, "1072089": 142, "10721": 142, "1072113": 142, "1072255": 142, "1072266101837158": 142, "1072286": 142, "1072382": 142, "1072429": 142, "1072437": 142, "1072478294372559": 142, "1072490215301514": 142, "1072589": 142, "1072590351104736": 142, "1072645": 142, "1072655": 142, "1072660": 142, "1072707": 142, "1072712": 142, "1072719097137451": 142, "1072724": 142, "1072744": 142, "1072794": 142, "1072802": 142, "1072876453399658": 142, "1072944": 142, "107299566268921": 142, "1073": 142, "10731164366006851": 142, "1073150634765625": 142, "1073369979858398": 142, "1073415279388428": 142, "107358455657959": 142, "107362985610962": 142, "10739": 142, "107391357421875": 142, "10741057991981506": 142, "1074154376983643": 142, "1074175834655762": 142, "10744": 142, "107450246810913": 142, "1074540615081787": 142, "1074645519256592": 142, "10748": 142, "107485294342041": 142, "10749": 142, "1074929237365723": 142, "10754": 142, "10755": 142, "1075553894042969": 142, "1075739860534668": 142, "10759": 142, "1076": [147, 149], "1076042652130127": 142, "107616901397705": 142, "1076233386993408": 142, "1076254844665527": 142, "1076257228851318": 142, "1076271533966064": 142, "10763": 142, "107663869857788": 142, "107682228088379": 142, "1076841354370117": 142, "1076862812042236": 142, "1076877117156982": 142, "1076973": 142, "1076981": 142, "1077023": 142, "1077045": 142, "1077077388763428": 142, "1077083": 142, "1077094078063965": 142, "1077098": 142, "1077113151550293": 142, "1077116": 142, "1077179": 142, "1077232": 142, "1077240": 142, "1077263": 142, "1077297": 142, "1077351": 142, "1077353954315186": 142, "1077354": 142, "1077365": 142, "1077372": 142, "1077378": 142, "1077383": 142, "1077397": 142, "1077429": 142, "1077440": 142, "1077448": 142, "1077453": 142, "1077466": 142, "1077470": 142, "1077482": 142, "1077503": 142, "1077589": 142, "1077599": 142, "107769250869751": 142, "1077722": 142, "1077723": 142, "1077746": 142, "1077790": 142, "1077791": 142, "1077803": 142, "1077811": 142, "1077814": 142, "1077854": 142, "1077866554260254": 142, "1077883": 142, "1077903": 142, "1077915": 142, "1077922": 142, "1077925": 142, "1077935": 142, "1077939": 142, "1077942": 142, "1077944": 142, "1077950": 142, "1077959": 142, "1077964305877686": 142, "1077978": 142, "1077979": 142, "1077980": 142, "1077994": 142, "1077996": 142, "1078": 142, "1078000": 142, "1078002": 142, "1078005": 142, "1078008": 142, "1078010": 142, "1078012": 142, "1078026": 142, "1078049": 142, "1078053": 142, "1078054": 142, "1078058": 142, "1078064": 142, "1078077": 142, "1078079": 142, "1078085": 142, "1078086": 142, "1078088283538818": 142, "1078089": 142, "1078093": 142, "1078100": 142, "1078104": 142, "1078106": 142, "1078107": 142, "1078113": 142, "1078114": 142, "1078123": 142, "1078140": 142, "1078155": 142, "1078160": 142, "1078162": 142, "1078168": 142, "1078183": 142, "1078200": 142, "1078213": 142, "1078231": 142, "1078240": 142, "1078242": 142, "1078247": 142, "1078257": 142, "1078274": 142, "1078280": 142, "1078304": 142, "1078313": 142, "1078319549560547": 142, "1078326": 142, "1078331": 142, "10783425718545914": 142, "1078355": 142, "1078362": 142, "1078387": 142, "1078389": 142, "1078402": 142, "1078411": 142, "1078419": 142, "1078428": 142, "1078430": 142, "1078443": 142, "1078464": 142, "1078466": 142, "1078469": 142, "1078483": 142, "1078500": 142, "1078514": 142, "1078517": 142, "1078526": 142, "1078544": 142, "1078547": 142, "1078554": 142, "1078567": 142, "1078574": 142, "1078578": 142, "1078597": 142, "1078602": 142, "1078617572784424": 142, "1078621": 142, "1078627": 142, "1078628": 142, "1078635": 142, "1078638": 142, "1078643": 142, "1078645": 142, "1078665": 142, "1078666": 142, "1078677": 142, "1078696": 142, "1078697": 142, "1078699": 142, "1078703": 142, "1078708": 142, "1078709": 142, "107872009277344": 142, "1078721": 142, "1078729": 142, "1078732013702393": 142, "1078739": 142, "1078743934631348": 142, "1078746": 142, "1078750": 142, "1078751": 142, "1078755": 142, "1078756": 142, "1078766": 142, "1078767": 142, "1078776": 142, "1078780": 142, "1078782": 142, "1078810": 142, "1078811": 142, "1078813": 142, "1078815": 142, "1078825": 142, "1078849": 142, "1078860": 142, "1078867": 142, "1078873": 142, "1078875": 142, "1078884": 142, "1078895": 142, "1078896": 142, "1078908": 142, "1078929901123047": 142, "1078933": 142, "1078938": 142, "1078955": 142, "1078963": 142, "1078965": 142, "1078973": 142, "1078989": 142, "1078996": 142, "1079029": 142, "1079030": 142, "1079034": 142, "1079035": 142, "1079038": 142, "1079041957855225": 142, "1079042": 142, "1079048": 142, "1079075": 142, "1079079": 142, "1079080": 142, "1079082": 142, "1079094": 142, "1079106": 142, "1079110": 142, "1079112": 142, "1079127": 142, "1079131": 142, "1079155": 142, "1079158": 142, "1079167": 142, "1079172": 142, "1079182": 142, "1079184": 142, "1079193": 142, "1079213": 142, "1079224": 142, "1079228": 142, "1079246": 142, "1079248": 142, "1079254": 142, "1079260": 142, "1079265": 142, "1079269": 142, "1079277992248535": 142, "1079278": 142, "1079296": 142, "1079297": 142, "1079298": 142, "1079313": 142, "1079323": 142, "1079324": 142, "1079325": 142, "1079337": 142, "1079343": 142, "1079361": 142, "1079393": 142, "1079399": 142, "1079407": 142, "1079438": 142, "1079440": 142, "1079460": 142, "1079463958740234": 142, "1079467": 142, "1079489": 142, "1079496": 142, "1079508": 142, "1079513": 142, "1079518795013428": 142, "1079542": 142, "1079544": 142, "1079546": 142, "1079559": 142, "1079574": 142, "1079582": 142, "1079585": 142, "1079597": 142, "1079600": 142, "1079623": 142, "1079635": 142, "1079641": 142, "1079643": 142, "1079646": 142, "1079679": 142, "1079681": 142, "1079688": 142, "1079692840576172": 142, "1079695": 142, "10797": 142, "1079706": 142, "1079714": 142, "1079716": 142, "1079718": 142, "1079721": 142, "1079726": 142, "1079729": 142, "1079752": 142, "1079754": 142, "1079768": 142, "1079772": 142, "1079773902893066": 142, "1079776": 142, "1079796": 142, "1079802": 142, "1079810": 142, "1079822": 142, "1079831": 142, "1079832": 142, "1079842": 142, "1079845": 142, "1079860": 142, "1079862": 142, "1079863": 142, "1079890": 142, "1079896": 142, "1079908": 142, "1079910": 142, "1079914": 142, "1079933": 142, "1079938": 142, "1079945": 142, "1079946": 142, "1079951": 142, "1079952": 142, "1079966": 142, "1079997": 142, "1079999": 142, "108": 147, "1080001": 142, "1080022": 142, "1080033": 142, "1080043": 142, "1080049": 142, "1080056": 142, "1080073": 142, "1080093": 142, "1080094": 142, "1080121": 142, "1080140": 142, "1080147": 142, "10802": 142, "1080204": 142, "1080231": 142, "1080233": 142, "1080254": 142, "1080258": 142, "1080271": 142, "1080276": 142, "108029842376709": 142, "1080376": 142, "1080403327941895": 142, "1080424": 142, "1080439": 142, "1080443": 142, "1080448": 142, "1080452": 142, "1080459": 142, "1080463": 142, "1080466": 142, "1080467": 142, "1080469": 142, "1080486": 142, "1080489": 142, "1080493": 142, "1080495": 142, "1080509": 142, "1080518": 142, "1080522": 142, "1080526": 142, "1080529": 142, "1080539226531982": 142, "1080552": 142, "1080559": 142, "1080561": 142, "1080586": 142, "1080603": 142, "1080608": 142, "1080611": 142, "1080614": 142, "1080624": 142, "1080646": 142, "1080653": 142, "1080657": 142, "1080665": 142, "1080667": 142, "1080677": 142, "1080693": 142, "1080715": 142, "1080718040466309": 142, "1080760": 142, "1080769": 142, "1080771": 142, "1080797": 142, "1080815": 142, "1080816": 142, "1080824": 142, "1080831": 142, "1080834": 142, "1080835": 142, "1080844": 142, "1080913543701172": 142, "1080961227416992": 142, "1081": [142, 154], "1081008911132812": 142, "1081092357635498": 142, "1081345081329346": 142, "108139991760254": 142, "108159065246582": 142, "1081795692443848": 142, "1082": 142, "1082167625427246": 142, "1082191467285156": 142, "1082286834716797": 142, "1082353591918945": 142, "1082401275634766": 142, "1082532405853271": 142, "1082985401153564": 142, "1083316802978516": 142, "108344316482544": 142, "108402967453003": 142, "10841178894043": 142, "1084179878234863": 142, "1084191799163818": 142, "108421802520752": 142, "10843": 142, "1084322929382324": 142, "10844": 142, "1084582805633545": 142, "10846": 142, "1084604263305664": 142, "10847": 142, "1084753": 142, "1084767": 142, "1084770": 142, "1084775": 142, "10848": 142, "1084800": 142, "1084805": 142, "1084838": 142, "108486652374268": 142, "10849": 142, "1085": 154, "10850": 142, "1085100173950195": 142, "1085121631622314": 142, "1085155010223389": 142, "1085498332977295": 142, "1085550785064697": 142, "10858503729104996": 142, "10861": 142, "108612060546875": 142, "1086182594299316": 142, "1086241006851196": 142, "10866117477417": 142, "1086630821228027": 142, "1086669": 142, "1086714267730713": 142, "108691930770874": 142, "108694314956665": 142, "1086978912353516": 142, "1087": 142, "10870361328125": 142, "1087086200714111": 142, "1087148189544678": 142, "10872": 142, "1087219": 142, "1087238": 142, "10873": 142, "1087479": 142, "1087485": 142, "1087486": 142, "1087487": 142, "1087488": 142, "1087497": 142, "1087499": 142, "1087504": 142, "1087509": 142, "10875643044710159": 142, "10876": 142, "1087620258331299": 142, "1087641716003418": 142, "10877": 142, "10878": 142, "1087870597839355": 142, "108790636062622": 142, "1087970733642578": 142, "1088225841522217": 142, "10883": 142, "1088345050811768": 142, "10884": 142, "1088404655456543": 142, "10886": 142, "108863115310669": 142, "10887": 142, "10888671875": 142, "1088991165161133": 142, "1089": 142, "1089086532592773": 142, "10891": 142, "1089115142822266": 142, "10892": 142, "10893": 142, "108933448791504": 142, "1089351177215576": 142, "10894": 142, "108940601348877": 142, "1089439392089844": 142, "10895": 142, "10896": 142, "10898": 142, "1089868545532227": 142, "10899": 142, "109": 147, "1090": 133, "109006643295288": 142, "10901": 142, "1090190410614014": 142, "1090257167816162": 142, "1090354919433594": 142, "10905": 142, "1090826988220215": 142, "10909": 142, "1090929508209229": 142, "1091": 133, "10910": 142, "10911": 142, "1091182231903076": 142, "1091232299804688": 142, "1091375": 142, "1091387": 142, "1091390": 142, "1091395": 142, "1091398": 142, "1091415": 142, "1091768741607666": 142, "109196424484253": 142, "1091978549957275": 142, "1092": 133, "1092031002044678": 142, "109208583831787": 142, "109220027923584": 142, "1092293": 142, "1092324256896973": 142, "1092355251312256": 142, "1092629432678223": 142, "1092674732208252": 142, "109273910522461": 142, "1092841625213623": 142, "10929187387228012": 142, "1093": 133, "1093122959136963": 142, "1093487739562988": 142, "1093502044677734": 142, "1093723773956299": 142, "1093804836273193": 142, "1093878746032715": 142, "1093952655792236": 142, "1093991": 142, "1093992": 142, "1093999": 142, "1094": 133, "1094008": 142, "1094021": 142, "1094034": 142, "1094043": 142, "1094066": 142, "1094075": 142, "1094079": 142, "1094088": 142, "1094098": 142, "1094105": 142, "1094106": 142, "1094107": 142, "1094108": 142, "1094136": 142, "1094140": 142, "1094148": 142, "1094157695770264": 142, "1094248": 142, "1094254": 142, "1094255": 142, "1094267": 142, "1094272": 142, "109445333480835": 142, "109447": 147, "10944774746894836": 142, "1094505786895752": 142, "1094601154327393": 142, "1094677448272705": 142, "1094725131988525": 142, "109489917755127": 142, "1095024": 142, "1095040": 142, "1095057": 142, "1095059": 142, "1095061": 142, "1095063": 142, "1095073": 142, "1095124": 142, "1095128": 142, "1095145": 142, "1095148": 142, "1095176": 142, "1095177": 142, "1095178127288818": 142, "1095180": 142, "1095185": 142, "1095196": 142, "1095201": 142, "1095207": 142, "1095240": 142, "1095247": 142, "1095249652862549": 142, "1095253": 142, "1095261": 142, "1095269": 142, "1095294": 142, "1095302": 142, "109532356262207": 142, "1095369": 142, "1095370": 142, "1095372": 142, "1095396": 142, "1095397": 142, "1095419": 142, "1095423698425293": 142, "1095427": 142, "1095440": 142, "1095442": 142, "1095443": 142, "1095449": 142, "1095456": 142, "1095464": 142, "1095465": 142, "1095472": 142, "1095478": 142, "1095491": 142, "1095493": 142, "1095495": 142, "1095497": 142, "1095497608184814": 142, "1095499": 142, "10955": 142, "1095502": 142, "1095504": 142, "1095505": 142, "1095507": 142, "1095513": 142, "1095516": 142, "1095522": 142, "1095532": 142, "1095536": 142, "1095544": 142, "1095545": 142, "1095547": 142, "1095548": 142, "1095553": 142, "1095563": 142, "1095573": 142, "1095575": 142, "1095578": 142, "1095584": 142, "1095585823059082": 142, "1095592": 142, "1095594": 142, "1095603": 142, "1095607": 142, "1095628": 142, "1095634": 142, "1095643": 142, "1095650": 142, "1095664": 142, "1095668": 142, "1095669": 142, "1095672": 142, "1095673": 142, "1095683": 142, "1095684": 142, "1095694": 142, "1095707416534424": 142, "1095845699310303": 142, "1096": 133, "1096076965332031": 142, "109654188156128": 142, "1096775531768799": 142, "1096795": 142, "1096802": 142, "1096809": 142, "1096810": 142, "1096820": 142, "1096832": 142, "1096842288970947": 142, "1096861": 142, "1096880": 142, "1096882": 142, "1096898": 142, "10969": 142, "1096915": 142, "1096927": 142, "1096942": 142, "1096950": 142, "1096986": 142, "1096992": 142, "1096994": 142, "1097": 133, "1097000": 142, "1097018718719482": 142, "1097021": 142, "109706163406372": 142, "1097067": 142, "10972261428833": 142, "1097478866577148": 142, "1097683906555176": 142, "1097709": 142, "1097716": 142, "1097796": 142, "1097822": 142, "1097859": 142, "1097916": 142, "1097934246063232": 142, "1098": 133, "109830617904663": 142, "1098544597625732": 142, "109861135482788": 142, "1098692417144775": 142, "1098723411560059": 142, "1098730564117432": 142, "1098737716674805": 142, "1098833084106445": 142, "1098988056182861": 142, "1099": [133, 142], "1099038124084473": 142, "10991": 142, "1099236011505127": 142, "1099286079406738": 142, "1099402904510498": 142, "109940528869629": 142, "1099511627776": [138, 147], "1099557876586914": 142, "1099579334259033": 142, "1099755764007568": 142, "109g": 129, "109m": 130, "10e": 147, "10it": [134, 147], "10k": [134, 139, 141, 144, 147, 158], "10m": 134, "10mb": 134, "10x": 129, "10z": [147, 149], "11": [132, 133, 134, 135, 138, 142, 144, 145, 147, 149, 151, 153, 154, 156, 157, 158], "110": [144, 147], "1100": 133, "1100053787231445": 142, "1100330352783203": 142, "1100332": 142, "1100335": 142, "1100342": 142, "1100346": 142, "1100353": 142, "1100360": 142, "1100368": 142, "1100405": 142, "1100408": 142, "1100412": 142, "1100415": 142, "1100417": 142, "11007": 142, "1100766": 142, "1100772": 142, "1100773": 142, "1100779": 142, "1100781": 142, "1100786": 142, "1100795": 142, "1100809": 142, "1100868": 142, "1100873": 142, "1100962": 142, "1100995": 142, "1101": 133, "1101014": 142, "110102891921997": 142, "1101047992706299": 142, "1101055": 142, "1101069": 142, "1101075": 142, "1101090908050537": 142, "1101092": 142, "1101093": 142, "1101099": 142, "1101109": 142, "1101118": 142, "1101119": 142, "1101121": 142, "1101145": 142, "1101173": 142, "1101178": 142, "1101258": 142, "1101311": 142, "1101603507995605": 142, "1101606": 142, "1101621": 142, "1101628": 142, "1101753": 142, "1101754": 142, "1101755": 142, "1101765": 142, "1101771": 142, "1101774": 142, "1101783": 142, "1101785": 142, "1101789": 142, "1101795": 142, "1101809": 142, "1101813": 142, "1101826": 142, "1101841": 142, "1101849": 142, "1101860": 142, "1101867": 142, "1101870": 142, "110187530517578": 142, "1101880073547363": 142, "1101884": 142, "1101885": 142, "1101887": 142, "1101890": 142, "1101894": 142, "1101909": 142, "1101943": 142, "1101948": 142, "1101950": 142, "1101952": 142, "1101959": 142, "1101967": 142, "1101971": 142, "1101976": 142, "1101982": 142, "1101983": 142, "1101988": 142, "1101995": 142, "1102": 133, "1102006": 142, "1102011": 142, "1102018": 142, "1102023": 142, "1102030": 142, "1102032": 142, "1102036": 142, "1102040": 142, "1102041": 142, "1102042": 142, "1102044582366943": 142, "1102059": 142, "1102073": 142, "1102080": 142, "1102086": 142, "1102090": 142, "1102101": 142, "110210657119751": 142, "1102115": 142, "1102131": 142, "1102132": 142, "1102138": 142, "1102147": 142, "1102167": 142, "1102168": 142, "1102174": 142, "1102184": 142, "1102195": 142, "1102254": 142, "1102268": 142, "1102284": 142, "1102285": 142, "1102288": 142, "1102307": 142, "1102310": 142, "1102311": 142, "1102314": 142, "1102324": 142, "1102342": 142, "1102348": 142, "1102364": 142, "1102366": 142, "1102373": 142, "1102382": 142, "1102384": 142, "1102392": 142, "1102395": 142, "1102430": 142, "1102436": 142, "1102441": 142, "1102443": 142, "1102452": 142, "1102458": 142, "1102487": 142, "11025": 142, "1102504": 142, "1102520": 142, "1102523": 142, "1102524": 142, "1102525": 142, "1102531": 142, "1102532": 142, "1102534": 142, "1102537": 142, "1102541": 142, "1102542": 142, "1102545": 142, "1102559": 142, "1102564": 142, "1102565": 142, "1102603": 142, "1102616": 142, "1102618": 142, "1102619171142578": 142, "1102631": 142, "1102640": 142, "1102645": 142, "1102650": 142, "1102657": 142, "1102658": 142, "1102660": 142, "1102664": 142, "1102683544158936": 142, "1102687": 142, "1102693": 142, "1102702": 142, "1102705": 142, "1102732": 142, "1102743": 142, "11028": 142, "110280990600586": 142, "1102833": 142, "1102834": 142, "1102836": 142, "1102840": 142, "1102841": 142, "1102843": 142, "1102844": 142, "1102850": 142, "1102854": 142, "1102855": 142, "1102857": 142, "1102860": 142, "110286712646484": 142, "1102869": 142, "1102895": 142, "11029": 142, "1102900": 142, "1102919": 142, "1102924": 142, "1102925": 142, "1102926": 142, "1102945": 142, "1102945804595947": 142, "1102961": 142, "1102976": 142, "1102980": 142, "1103": 133, "1103012": 142, "1103031": 142, "1103034": 142, "1103036": 142, "1103038": 142, "1103044": 142, "1103046": 142, "1103057": 142, "1103067": 142, "1103085": 142, "1103091": 142, "1103098": 142, "1103123": 142, "1103139": 142, "1103148": 142, "1103150": 142, "1103158": 142, "1103160": 142, "1103162": 142, "1103166": 142, "1103172": 142, "1103174": 142, "1103176": 142, "1103177": 142, "1103180": 142, "1103196": 142, "1103211": 142, "1103212": 142, "1103213": 142, "1103227": 142, "1103228": 142, "1103235": 142, "1103243": 142, "1103248": 142, "1103248596191406": 142, "1103252": 142, "1103256": 142, "1103261": 142, "1103265": 142, "1103280": 142, "1103293": 142, "1103307": 142, "1103310": 142, "1103317": 142, "1103346": 142, "1103352": 142, "1103353": 142, "1103359": 142, "1103373": 142, "1103379": 142, "1103382110595703": 142, "1103389263153076": 142, "1103414": 142, "1103434": 142, "1103484630584717": 142, "1103510": 142, "1103512": 142, "1103520": 142, "1103521": 142, "1103534": 142, "1103536": 142, "1103545": 142, "1103546": 142, "1103555": 142, "1103566": 142, "1103567": 142, "1103570": 142, "1103583": 142, "1103603": 142, "1103605": 142, "1103607": 142, "1103608": 142, "1103618": 142, "1103634": 142, "1103639602661133": 142, "1103642": 142, "1103643": 142, "1103655": 142, "1103685": 142, "1103697": 142, "1103699207305908": 142, "1103705": 142, "1103718": 142, "1103722": 142, "1103724": 142, "1103728": 142, "1103729": 142, "1103739738464355": 142, "1103749": 142, "1103757": 142, "1103787": 142, "11038": 142, "1103812": 142, "1103814": 142, "1103821": 142, "1103826": 142, "1103842": 142, "1103846": 142, "1103848": 142, "1103852": 142, "1103859": 142, "1103869": 142, "1103879": 142, "1103885": 142, "1103910": 142, "1103923": 142, "1103938": 142, "1103956": 142, "1103966236114502": 142, "1103969": 142, "1103984": 142, "1103996": 142, "1104": 133, "1104000": 142, "1104010": 142, "1104019": 142, "1104024": 142, "1104027": 142, "1104042": 142, "1104047": 142, "1104053": 142, "1104054": 142, "1104062": 142, "1104069": 142, "1104074": 142, "1104078": 142, "1104089": 142, "1104097": 142, "1104116439819336": 142, "1104117": 142, "1104120": 142, "1104125": 142, "1104129": 142, "1104133": 142, "1104139": 142, "1104141": 142, "1104155": 142, "1104162": 142, "1104165": 142, "1104167": 142, "1104183": 142, "1104194": 142, "1104215": 142, "1104222": 142, "1104240": 142, "1104242": 142, "1104259": 142, "1104271": 142, "1104275": 142, "1104286": 142, "1104290": 142, "1104320": 142, "1104327": 142, "1104333400726318": 142, "1104334": 142, "1104337": 142, "1104341": 142, "1104366": 142, "1104372": 142, "1104377": 142, "1104378": 142, "1104381": 142, "1104382": 142, "1104388": 142, "1104406": 142, "1104438": 142, "1104462": 142, "1104473": 142, "1104485": 142, "1104488": 142, "1104493141174316": 142, "1104495525360107": 142, "1104502": 142, "1104503": 142, "1104518": 142, "1104526": 142, "1104535": 142, "1104548": 142, "1104554": 142, "1104561": 142, "110456943511963": 142, "1104575": 142, "1104604": 142, "1104612": 142, "1104613": 142, "1104663": 142, "1104669": 142, "1104677": 142, "1104686": 142, "1104699": 142, "1104732": 142, "1104735": 142, "1104783": 142, "1104810": 142, "1104825": 142, "1104829": 142, "1104841": 142, "110485315322876": 142, "1104854": 142, "1104860": 142, "1104872": 142, "1104894": 142, "1104896": 142, "1104898": 142, "1104926": 142, "1104929": 142, "1104951": 142, "1104955": 142, "1104956": 142, "1104960": 142, "1104965": 142, "1104974": 142, "1105": 133, "110502243041992": 142, "1105040": 142, "1105044": 142, "1105063": 142, "1105077": 142, "1105078": 142, "1105097": 142, "11051": 142, "1105127": 142, "1105134": 142, "1105139": 142, "1105163": 142, "1105187": 142, "1105210": 142, "1105285": 142, "1105294": 142, "1105296": 142, "1105302": 142, "1105327": 142, "1105373": 142, "110539197921753": 142, "1105435": 142, "1105496": 142, "1105552": 142, "1105558": 142, "1105559": 142, "1105569": 142, "1105570": 142, "1105598": 142, "1105606": 142, "1105633": 142, "1105647": 142, "1105651": 142, "1105654": 142, "1105666": 142, "1105693": 142, "1105701": 142, "1105702": 142, "1105715": 142, "1105716": 142, "1105749": 142, "1105752": 142, "1105775": 142, "1105778": 142, "1105799": 142, "1105802": 142, "1105830": 142, "1105833": 142, "1105835": 142, "1105836": 142, "1105840": 142, "1105844": 142, "1105850": 142, "1105851": 142, "1105852": 142, "1105859": 142, "1105892658233643": 142, "1105911": 142, "1105914": 142, "1105935": 142, "1105973": 142, "1105992794036865": 142, "1106": 142, "1106020": 142, "1106022": 142, "1106023": 142, "1106026": 142, "1106051": 142, "1106061": 142, "1106085": 142, "1106111": 142, "1106116771697998": 142, "1106121": 142, "1106140": 142, "1106162": 142, "1106169": 142, "1106177": 142, "1106195": 142, "110621690750122": 142, "1106219": 142, "1106227": 142, "1106245": 142, "1106280": 142, "110628604888916": 142, "1106288": 142, "1106288433074951": 142, "1106289": 142, "1106301": 142, "1106319427490234": 142, "1106352": 142, "1106356": 142, "1106367": 142, "1106381": 142, "1106431484222412": 142, "110647439956665": 142, "1106696128845215": 142, "1106781959533691": 142, "1107008457183838": 142, "110710620880127": 142, "11073": 142, "110764741897583": 142, "110767126083374": 142, "1107783317565918": 142, "110785722732544": 142, "1108207702636719": 142, "1108360290527344": 142, "110853910446167": 142, "1108670234680176": 142, "1108784675598145": 142, "1109": [142, 154], "1109004020690918": 142, "1109228134155273": 142, "1109545230865479": 142, "110959768295288": 142, "1109673976898193": 142, "1109838485717773": 142, "110987901687622": 142, "110994577407837": 142, "111": [133, 134, 142, 144, 147, 153], "1110053062438965": 142, "1110129356384277": 142, "1110591888427734": 142, "11106399446725845": 142, "11108": 142, "1110801696777344": 142, "1110880": 142, "1110883": 142, "1110949516296387": 142, "1110997": 142, "1111": 142, "1111063957214355": 142, "1111151": 142, "1111164": 142, "1111164093017578": 142, "1111173": 142, "1111174": 142, "1111182": 142, "1111296": 142, "11113": 142, "1111374": 142, "1111497": 142, "1111502": 142, "1111881732940674": 142, "111189603805542": 142, "1112139225006104": 142, "1112170": 142, "1112173": 142, "111229658126831": 142, "1112341": 142, "1112353": 142, "1112370491027832": 142, "1112613677978516": 142, "111264705657959": 142, "1112648": 142, "1112768650054932": 142, "1112961": 142, "1112964153289795": 142, "1112966": 142, "1112983": 142, "1112991": 142, "1112992763519287": 142, "1113033294677734": 142, "111309289932251": 142, "1113231": 142, "1113233": 142, "1113355159759521": 142, "1113386154174805": 142, "1113405227661133": 142, "111344814300537": 142, "1113496": 142, "1113510": 142, "1113512": 142, "1113839149475098": 142, "111391305923462": 142, "1114": 142, "111419677734375": 142, "111429214477539": 142, "11144": 142, "1114486": 142, "1114489": 142, "1114506": 142, "1114566326141357": 142, "1114619": 142, "1114625": 142, "1114638": 142, "1114664": 142, "1114665": 142, "1114697456359863": 142, "111482620239258": 142, "1114864349365234": 142, "1115": 142, "1115057468414307": 142, "1115100383758545": 142, "1115407943725586": 142, "1115682125091553": 142, "1115808486938477": 142, "1115822792053223": 142, "1115829944610596": 142, "111591100692749": 142, "1115944385528564": 142, "11160659790039": 142, "1116163730621338": 142, "111623764038086": 142, "1116247177124023": 142, "1116254329681396": 142, "11162985116243362": 142, "11164": 142, "1116509437561035": 142, "1116533279418945": 142, "1116697788238525": 142, "1116769": 142, "111677646636963": 142, "1116833686828613": 142, "1116905212402344": 142, "1117033958435059": 142, "1117136478424072": 142, "1117143630981445": 142, "111715316772461": 142, "1117172241210938": 142, "1117382049560547": 142, "11176": 142, "1117656230926514": 142, "1117727756500244": 142, "1118": 142, "1118018627166748": 142, "1118049621582031": 142, "11181": 142, "1118154525756836": 142, "1118206977844238": 142, "11184963583946228": 142, "1118509769439697": 142, "1118832": 142, "1118910312652588": 142, "1118979454040527": 142, "111900806427002": 142, "11191": 142, "11192": 142, "111922025680542": 142, "11193": 142, "1119344234466553": 142, "1119742393493652": 142, "1119744777679443": 142, "1119976043701172": 142, "112": [133, 142, 147], "1120": 142, "11201": 142, "1120142936706543": 142, "1120190620422363": 142, "11202": 142, "1120474338531494": 142, "1120538711547852": 142, "1120679378509521": 142, "1120693683624268": 142, "1120716": 142, "1120728": 142, "1120730": 142, "1120733": 142, "1120739": 142, "1120741": 142, "1120746": 142, "1120750": 142, "1120763": 142, "1120767": 142, "1120769": 142, "1120774": 142, "1120779": 142, "1120780": 142, "1120781": 142, "1120788": 142, "1120803": 142, "1120948791503906": 142, "112123966217041": 142, "11212766170501709": 142, "1121301651000977": 142, "11214": 142, "1121466159820557": 142, "1121704578399658": 142, "112180233001709": 142, "1121809482574463": 142, "11220": 142, "1122064590454102": 142, "1122074127197266": 142, "1122186183929443": 142, "1122245788574219": 142, "112231969833374": 142, "112241744995117": 142, "1122541427612305": 142, "1122691631317139": 142, "11227": 142, "1122759537538514e": 142, "1122760772705078": 142, "11228": 142, "1122839450836182": 142, "11229": 142, "1122925281524658": 142, "112299919128418": 142, "1123": 142, "11230": 142, "112305641174316": 142, "11231": 142, "1123197078704834": 142, "11233": 142, "112363576889038": 142, "1123685836791992": 142, "11237": 142, "11238": 142, "1123840808868408": 142, "1123876571655273": 142, "112389087677002": 142, "1123898029327393": 142, "11239": 142, "11241": 142, "112430572509766": 142, "11244": 142, "112450361251831": 142, "112457513809204": 142, "112459421157837": 142, "1124732494354248": 142, "11248": 142, "1124966144561768": 142, "1125": 153, "11251": 142, "11252": 142, "11253": 142, "1125566959381104": 142, "11256": 142, "1125757694244385": 142, "1125805377960205": 142, "11261": 142, "11263": 142, "1126482486724854": 142, "112652063369751": 142, "1126532554626465": 142, "1126580238342285": 142, "1126604080200195": 142, "1126675605773926": 142, "112668752670288": 142, "112675666809082": 142, "1127052307128906": 142, "112755298614502": 142, "1127655506134033": 142, "1127667427062988": 142, "11278": 142, "112794399261475": 142, "112802267074585": 142, "1128041744232178": 142, "1128182411193848": 142, "11284": 142, "1128404140472412": 142, "11285": 142, "1128509044647217": 142, "112857818603516": 142, "11286": 142, "11287": 142, "11288": 142, "1129": 142, "11290": 142, "112900733947754": 142, "1129117012023926": 142, "1129131317138672": 142, "11293": 142, "1129465103149414": 142, "11294864118099213": 142, "11295688897371292": 142, "1129741668701172": 142, "1129848957061768": 142, "113": [133, 142, 147], "1130025386810303": 142, "1130168437957764": 142, "1130435466766357": 142, "1130483150482178": 142, "11306": 142, "1130683422088623": 142, "1130850315093994": 142, "11313": 142, "1131300926208496": 142, "113133192062378": 142, "1131432056427002": 142, "113154649734497": 142, "1131560802459717": 142, "113180160522461": 142, "1131889820098877": 142, "1132104396820068": 142, "11322": 142, "1132278442382812": 142, "1132359504699707": 142, "1132378578186035": 142, "11324": 142, "11326265335083": 142, "113265037536621": 142, "11327": 142, "1132755279541": 142, "11328": 142, "11329": 142, "1133": 142, "1133105754852295": 142, "1133298873901367": 142, "1133320331573486": 142, "11334": 142, "1133456230163574": 142, "1133787631988525": 142, "11338": 142, "1133818626403809": 142, "1133832931518555": 142, "113398551940918": 142, "1134116649627686": 142, "11342": 142, "11345": 142, "1134567260742188": 142, "1134741306304932": 142, "1134929656982422": 142, "1135": 142, "11350": 142, "1135046482086182": 142, "1135118007659912": 142, "1135199069976807": 142, "1135294437408447": 142, "1135427951812744": 142, "1135492324829102": 142, "1135528087615967": 142, "1135647296905518": 142, "1135728359222412": 142, "11358": 142, "1135945320129395": 142, "113598108291626": 142, "1136": 142, "11360": 142, "1136038303375244": 142, "1136186122894287": 142, "1136229038238525": 142, "11366": 142, "113680124282837": 142, "1136913299560547": 142, "1137056350708008": 142, "1137452125549316": 142, "1137492656707764": 142, "1137645244598389": 142, "1137676239013672": 142, "1137878894805908": 142, "1138036251068115": 142, "11381266266107559": 142, "113823413848877": 142, "1138331890106201": 142, "11385": 142, "11387": 142, "11387612670660019": 142, "11387713253498077": 142, "113896131515503": 142, "1139": 142, "1139214038848877": 142, "11393": 142, "11393103003501892": 142, "1139369010925293": 142, "113938808441162": 142, "11396598815918": 142, "11397": 142, "114": [133, 147, 151], "11400": 142, "11401": 142, "1140110492706299": 142, "1140198707580566": 142, "11403489112854": 142, "1140384674072266": 142, "1140644550323486": 142, "11407": 142, "1140952110290527": 142, "1141068935394287": 142, "11411": 142, "1141138076782227": 142, "1141176223754883": 142, "11412": 142, "1141409873962402": 142, "11416": 142, "1141605377197266": 142, "1141624450683594": 142, "11417": 142, "1141712665557861": 142, "1141726970672607": 142, "11418": 142, "11420": 142, "1142678260803223": 142, "1142699718475342": 142, "1142711639404297": 142, "1142754554748535": 142, "1142933368682861": 142, "11430": 142, "114307165145874": 142, "1143074035644531": 142, "11431": 142, "1143124103546143": 142, "11431312561035": 142, "1143162250518799": 142, "1143412590026855": 142, "1143550872802734": 142, "1143560409545898": 142, "114358901977539": 142, "11438": 142, "114380121231079": 142, "1143815517425537": 142, "114390850067139": 142, "1143949031829834": 142, "11440": 142, "1144053936004639": 142, "11441": 142, "1144399642944336": 142, "11444": 142, "1144497394561768": 142, "11445": 142, "1144639179110527": 142, "1144702434539795": 142, "114478349685669": 142, "11449": 142, "11450944095849991": 142, "1145122051239014": 142, "11452": 142, "1145260334014893": 142, "11453": 142, "11454": 142, "11456": 142, "114562749862671": 142, "11457": 142, "1145787239074707": 142, "11458605527877808": 142, "1145939826965332": 142, "11460": 142, "1146023273468018": 142, "1146166324615479": 142, "11462": 142, "11466": 142, "1147046089172363": 142, "11471": 142, "11472": 142, "1147222518920898": 142, "11473": 142, "1147394180297852": 142, "11474": 142, "1147666": 142, "1147709": 142, "1147710": 142, "1147712": 142, "1147714": 142, "1147716045379639": 142, "1147725582122803": 142, "1147746": 142, "1147754": 142, "1147766": 142, "1147769": 142, "1147773": 142, "1147776": 142, "1147780": 142, "1147966384887695": 142, "1148030757904053": 142, "11481": 142, "114811658859253": 142, "1148126125335693": 142, "11482": 142, "1148407459259033": 142, "1148557662963867": 142, "114858627319336": 142, "11486": 142, "114865779876709": 142, "1148788928985596": 142, "11488229036331177": 142, "11489": 142, "114893913269043": 142, "1149077415466309": 142, "1149394512176514": 142, "1149516105651855": 142, "1149611473083496": 142, "1149661540985107": 142, "114980936050415": 142, "1149826049804688": 142, "1149837970733643": 142, "1149845123291016": 142, "115": [133, 147], "11500": [129, 142], "11501": 142, "11501923203468323": 142, "1150221824646": 142, "115027666091919": 142, "11504": 142, "115053415298462": 142, "1150543689727783": 142, "11506": 142, "11507": 142, "1150827407836914": 142, "115088701248169": 142, "1151022911071777": 142, "1151063442230225": 142, "1151113510131836": 142, "1151137351989746": 142, "1151210218667984": 142, "11513": 142, "1151320934295654": 142, "11514": 142, "11515": 142, "1151583194732666": 142, "11516": 142, "11517": 142, "1151759624481201": 142, "1151812076568604": 142, "11519": 142, "1152": 142, "11520": 142, "11521": 142, "11522": 142, "1152212619781494": 142, "1152231693267822": 142, "11523": 142, "1152324676513672": 142, "1152350902557373": 142, "115238904953003": 142, "1152493953704834": 142, "1152515411376953": 142, "11527657508850098": 142, "1152868270874023": 142, "11531": 142, "11532": 142, "1153409481048584": 142, "11535418778657913": 142, "11537": 142, "1153817176818848": 142, "1153948307037354": 142, "11541": 142, "11546": 142, "1154844760894775": 142, "1154892444610596": 142, "11549": 142, "115490198135376": 142, "115495681762695": 142, "1155": 154, "11550": 142, "1155102252960205": 142, "1155340671539307": 142, "1155686378479004": 142, "11557": 142, "11558": 142, "115588903427124": 142, "11559247970581055": 142, "115598201751709": 142, "1156": 142, "11560": 142, "115605115890503": 142, "1156134605407715": 142, "11563": 142, "11565": 142, "1156504154205322": 142, "11566": 142, "1156630516052246": 142, "11567": 142, "1156752109527588": 142, "1157": 142, "1157050132751465": 142, "11571": 142, "11572": 142, "1157221794128418": 142, "11573": 142, "11575": 142, "1157522201538086": 142, "1157739162445068": 142, "11578": 142, "1157808303833008": 142, "115786075592041": 142, "1157889366149902": 142, "1157894134521484": 142, "11580": 142, "1158041954040527": 142, "1158108711242676": 142, "11583": 142, "115846633911133": 142, "1158716678619385": 142, "1158719062805176": 142, "115891": 156, "1159": 142, "1159191131591797": 142, "1159288883209229": 142, "1159343719482422": 142, "1159470081329346": 142, "1159543991088867": 142, "1159555912017822": 142, "1159780025482178": 142, "11598": 142, "116": [133, 134, 147], "1160211563110352": 142, "1160342693328857": 142, "1160364151000977": 142, "1160664558410645": 142, "1160690784454346": 142, "11607": 142, "116074800491333": 142, "116088628768921": 142, "11609": 142, "11611606180667877": 142, "1161246299743652": 142, "1161537170410156": 142, "1161766052246094": 142, "1161811351776123": 142, "11621": 142, "116213321685791": 142, "1162402629852295": 142, "116241216659546": 142, "1162793636322021": 142, "1162824630737305": 142, "116286277770996": 142, "1162972450256348": 142, "1163058280944824": 142, "1163082122802734": 142, "1163139343261719": 142, "116335391998291": 142, "1163442134857178": 142, "116344928741455": 142, "116349697113037": 142, "116363763809204": 142, "11636683344841003": 142, "1163702011108398": 142, "11639": 142, "116407871246338": 142, "1164512634277344": 142, "1164648532867432": 142, "116479873657227": 142, "1164934635162354": 142, "1164970397949219": 142, "116497278213501": 142, "11651": 142, "11653": 142, "1165542602539062": 142, "116572618484497": 142, "11658": 142, "1165812015533447": 142, "116593599319458": 142, "11660": 142, "11661": 142, "1166141033172607": 142, "1166250705718994": 142, "1166267395019531": 142, "1166305541992188": 142, "1166319027543068": 142, "11663818359375": 142, "1166574954986572": 142, "1166915893554688": 142, "1166977882385254": 142, "1167": [147, 149], "11672043800354": 142, "1167378425598145": 142, "11674": 142, "11675": 142, "11677": 142, "1167783737182617": 142, "1167798042297363": 142, "1167869567871094": 142, "1168": 142, "116835594177246": 142, "1168410778045654": 142, "1168534755706787": 142, "1168577671051025": 142, "11687": 142, "1168744564056396": 142, "1168792247772217": 142, "1169": 142, "11690": 142, "1169133186340332": 142, "1169297695159912": 142, "11693": 142, "1169312000274658": 142, "11694": 142, "1169540882110596": 142, "1169579029083252": 142, "11696": 142, "11696195602417": 142, "11697": 142, "1169960498809814": 142, "117": [132, 134, 142, 147, 157], "1170": [142, 154], "1170291900634766": 142, "11703": 142, "1170425415039062": 142, "1170787662267685": 142, "1170907020568848": 142, "1170923709869385": 142, "1170964241027832": 142, "1171040534973145": 142, "117119312286377": 142, "117128610610962": 142, "11713": 142, "11714": 142, "1171560287475586": 142, "1171681880950928": 142, "1171767711639404": 142, "1171870231628418": 142, "11719": 142, "1172189712524414": 142, "1172289848327637": 142, "1172316074371338": 142, "1172447204589844": 142, "1172492504119873": 142, "1172540187835693": 142, "1172823905944824": 142, "1172993183135986": 142, "1173040": 142, "1173043": 142, "1173050": 142, "1173060": 142, "1173070": 142, "1173195838928223": 142, "1173475": 142, "1173479557037354": 142, "1173513": 142, "1173830": 142, "11739": 142, "1173923015594482": 142, "1174063682556152": 142, "11741": 142, "1174237728118896": 142, "1174354553222656": 142, "1174373626708984": 142, "11744": 142, "117443323135376": 142, "11745": 142, "117490530014038": 142, "1174952983856201": 142, "1175": 142, "1175053119659424": 142, "117516040802002": 142, "117527723312378": 142, "11754": 142, "117558479309082": 142, "117591381072998": 142, "117630958557129": 142, "11765": 142, "1176507472991943": 142, "1176540851593018": 142, "1176774501800537": 142, "11768": 142, "1176955699920654": 142, "1176958084106445": 142, "1177048683166504": 142, "1177494525909424": 142, "117767095565796": 142, "117783308029175": 142, "1178042888641357": 142, "117814540863037": 142, "1178157329559326": 142, "1178443431854248": 142, "117846965789795": 142, "1178620": 142, "117863416671753": 142, "1178674697875977": 142, "1178678": 142, "1178742": 142, "1178745": 142, "1178762": 142, "1178763": 142, "1178773": 142, "1178808": 142, "1178810": 142, "1178932": 142, "1178952": 142, "1178983": 142, "11790132522583": 142, "1179023": 142, "1179075241088867": 142, "1179094": 142, "1179173": 142, "1179336": 142, "1179443": 142, "11795": 142, "1179520": 142, "1179533004760742": 142, "1179605": 142, "1179635524749756": 142, "1179656": 142, "1179683208465576": 142, "1179693": 142, "1179773": 142, "1179796": 142, "11798": 142, "1179802": 142, "1179970": 142, "118": [133, 147, 153], "1180": [142, 147], "11800": 142, "1180121898651123": 142, "1180238723754883": 142, "1180309": 142, "11803344637155533": 142, "1180524826049805": 142, "1180546283721924": 142, "1180624961853027": 142, "1180659": 142, "118077278137207": 142, "11808": 142, "11809": 142, "1180961": 142, "1181": [147, 149], "1181046962738037": 142, "1181094": 142, "11811": 142, "1181222": 142, "1181237": 142, "11813938617706299": 142, "11814": 142, "1181550025939941": 142, "1181585788726807": 142, "118166208267212": 142, "1181676387786865": 142, "118173599243164": 142, "1181771755218506": 142, "11819": 142, "1181926": 142, "1181933879852295": 142, "1181940": 142, "1181961": 142, "1182": 147, "1182022094726562": 142, "1182031631469727": 142, "1182070": 142, "1182146": 142, "11822": 142, "11824": 142, "1182452": 142, "11826": 142, "1182885": 142, "1182950": 142, "1182952": 142, "1183005": 142, "1183037": 142, "1183038": 142, "1183040": 142, "1183041": 142, "1183042": 142, "1183048": 142, "11830735206604": 142, "1183135": 142, "1183136": 142, "1183137": 142, "1183143": 142, "1183144": 142, "1183147": 142, "1183148": 142, "1183151": 142, "1183155": 142, "1183158": 142, "1183162": 142, "1183163": 142, "1183165": 142, "1183166": 142, "1183167": 142, "1183173": 142, "1183187": 142, "1183191": 142, "11832": 142, "1183205": 142, "1183206": 142, "1183209": 142, "1183214": 142, "1183216": 142, "1183218": 142, "1183222": 142, "1183223": 142, "1183223724365234": 142, "1183224": 142, "1183227": 142, "1183232": 142, "1183246": 142, "1183306": 142, "1183442": 142, "1183448": 142, "1183450": 142, "1183453": 142, "1183454": 142, "1183455": 142, "1183456": 142, "1183458": 142, "1183459": 142, "1183460": 142, "1183461": 142, "1183462": 142, "1183463": 142, "1183464": 142, "1183466": 142, "1183468": 142, "1183470": 142, "1183471": 142, "1183482": 142, "1183484": 142, "1183489": 142, "1183490": 142, "1183493": 142, "11835": 142, "1183501": 142, "1183503": 142, "1183511": 142, "1183512": 142, "1183516": 142, "1183517": 142, "1183528": 142, "1183537": 142, "1183541": 142, "1183542": 142, "1183547": 142, "1183556": 142, "1183571": 142, "1183583": 142, "1183586": 142, "1183591": 142, "1183598": 142, "1183607": 142, "1183608": 142, "1183617": 142, "1183621": 142, "1183627": 142, "1183633": 142, "1183634": 142, "1183635": 142, "1183640": 142, "1183641": 142, "1183643": 142, "1183647": 142, "1183648": 142, "1183654": 142, "1183655": 142, "1183675": 142, "1183688": 142, "1183690": 142, "1183691": 142, "1183694": 142, "1183697": 142, "1183705": 142, "1183708": 142, "1183710": 142, "1183728": 142, "1183736324310303": 142, "1183740": 142, "1183749": 142, "1183777": 142, "1183807": 142, "1183837": 142, "1183931": 142, "1183931827545166": 142, "1183938": 142, "1183955": 142, "1183967": 142, "1183969": 142, "1183989": 142, "1183995": 142, "1183998": 142, "1184001": 142, "1184005": 142, "1184009": 142, "1184011": 142, "1184018": 142, "1184021": 142, "1184026": 142, "1184030": 142, "1184036": 142, "1184037": 142, "1184041": 142, "1184046": 142, "1184055": 142, "1184057": 142, "1184058": 142, "1184104": 142, "1184118": 142, "1184119": 142, "1184121": 142, "1184180": 142, "1184209": 142, "1184221": 142, "1184229": 142, "1184254": 142, "1184258460998535": 142, "1184265": 142, "1184276": 142, "1184278": 142, "1184299": 142, "1184318": 142, "1184364": 142, "1184368": 142, "1184396743774414": 142, "1184427738189697": 142, "1184478": 142, "1184502": 142, "1184511": 142, "1184548": 142, "1184554": 142, "1184558": 142, "1184559": 142, "1184560": 142, "1184567": 142, "1184568": 142, "1184573": 142, "1184579": 142, "1184580": 142, "1184581": 142, "1184582": 142, "1184586": 142, "1184587": 142, "1184587478637695": 142, "1184588": 142, "1184589": 142, "1184591": 142, "1184592": 142, "1184594": 142, "1184601": 142, "1184602": 142, "1184604": 142, "1184607": 142, "1184609": 142, "1184611": 142, "1184612": 142, "1184615": 142, "1184619": 142, "1184620": 142, "1184632": 142, "1184633": 142, "1184647": 142, "1184648": 142, "1184650": 142, "1184657": 142, "1184658": 142, "1184670": 142, "1184676": 142, "1184678": 142, "1184681": 142, "1184684": 142, "1184693": 142, "1184703": 142, "1184704": 142, "1184709": 142, "1184713": 142, "1184721": 142, "1184754": 142, "1184755": 142, "1184757": 142, "1184764": 142, "1184766": 142, "1184771": 142, "1184772": 142, "1184791": 142, "1184794": 142, "1184804": 142, "1184808": 142, "1184821128845215": 142, "1184829": 142, "1184870": 142, "1184905": 142, "1184921": 142, "1184947490692139": 142, "1184994": 142, "1184997": 142, "1185": 142, "1185041": 142, "1185042": 142, "1185055": 142, "1185059547424316": 142, "1185099": 142, "1185148": 142, "1185151": 142, "1185202": 142, "1185314655303955": 142, "1185424327850342": 142, "1185538": 142, "1185546": 142, "1185616": 142, "1185667": 142, "1185684204101562": 142, "1185926": 142, "1185931": 142, "1185935": 142, "1185970": 142, "1185972": 142, "1185976": 142, "1185981": 142, "1185991764068604": 142, "1185995": 142, "1186": 142, "1186001": 142, "1186002": 142, "1186003": 142, "1186004": 142, "1186005": 142, "1186006": 142, "1186010": 142, "1186011": 142, "1186013": 142, "1186014": [142, 151], "1186015": 142, "1186016": 142, "1186017": 142, "1186018": 142, "1186021": 142, "1186024": 142, "1186030": 142, "1186031": 142, "1186033": 142, "1186034": 142, "1186040": 142, "1186047": 142, "1186050": 142, "1186055": 142, "1186058": 142, "1186060": 142, "1186067": 142, "1186069": 142, "1186074": 142, "1186080": 142, "1186081": 142, "1186100": 142, "1186102": 142, "1186107": 142, "1186109": 142, "1186115": 142, "1186117": 142, "1186119": 142, "1186121": 142, "1186122": 142, "1186123": 142, "1186124": 142, "1186125": 142, "1186127": 142, "1186137": 142, "1186140": 142, "1186142": 142, "1186152": 142, "1186158": 142, "1186162": 142, "1186175": 142, "1186176": 142, "1186185": 142, "1186187": 142, "1186189": 142, "1186190": 142, "1186200": 142, "1186203": 142, "1186205": 142, "1186206": 142, "1186207": 142, "1186209": 142, "1186210": 142, "1186218": 142, "118621826171875": 142, "1186222": 142, "1186224": 142, "1186225": 142, "1186227": 142, "1186228": 142, "1186229": 142, "1186230": 142, "1186231": 142, "1186232": 142, "1186233": 142, "1186234": 142, "1186246871948242": 142, "1186258792877197": 142, "1186325550079346": 142, "1186374": 142, "1186375617980957": 142, "118638277053833": 142, "1186427": 142, "1186437": 142, "1186444": 142, "1186447": 142, "1186450": 142, "118652582168579": 142, "1186759": 142, "1186760": 142, "1186761": 142, "1186763": 142, "1186766": 142, "1186768": 142, "1186781": 142, "1186847686767578": 142, "1186853": 142, "1186887": 142, "11869": 142, "1186901": 142, "1186902": 142, "1186916": 142, "1186923": 142, "1186926": 142, "1186928": 142, "1186930": 142, "1186932": 142, "1186933": 142, "1186935": 142, "1186936": 142, "1186938": 142, "1186939": 142, "1186940": 142, "1186941": 142, "1186942": 142, "1186943": 142, "1186944": 142, "1186950": 142, "1186951": 142, "1186952": 142, "1186953": 142, "1186954": 142, "1186955": 142, "1186956": 142, "1186957": 142, "1186958": 142, "1186959": 142, "1186961": 142, "1186962": 142, "1186964": 142, "1186966": 142, "1186967": 142, "1186968": 142, "1186970": 142, "1186973": 142, "1186974": 142, "1186976": 142, "1186977": 142, "1186978": 142, "1186985": 142, "1186988": 142, "1186990": 142, "1186992": 142, "11870": 142, "1187006": 142, "1187068": 142, "1187073": 142, "1187077": 142, "1187079": 142, "1187095": 142, "1187096": 142, "1187097": 142, "1187098": 142, "1187111": 142, "1187124": 142, "1187125": 142, "1187152": 142, "1187154": 142, "1187172": 142, "1187194": 142, "1187195": 142, "1187196": 142, "1187197": 142, "1187200": 142, "1187204": 142, "1187206": 142, "1187208": 142, "1187209": 142, "1187210": 142, "1187211": 142, "1187212": 142, "1187216": 142, "1187219": 142, "1187225": 142, "1187231": 142, "1187233": 142, "1187238": 142, "1187240": 142, "1187241": 142, "1187242": 142, "1187243": 142, "1187244": 142, "1187245": 142, "1187248": 142, "1187252": 142, "1187257": 142, "1187258": 142, "1187280": 142, "11873": 142, "1187353134155273": 142, "1187417": 142, "1187418": 142, "1187419": 142, "1187420": 142, "1187422": 142, "1187424": 142, "1187427": 142, "1187428": 142, "1187429": 142, "1187430": 142, "1187431": 142, "1187432": 142, "1187433": 142, "1187434": 142, "1187444": 142, "1187459": 142, "1187461": 142, "1187464": 142, "1187470": 142, "1187473": 142, "1187474": 142, "1187486": 142, "1187489": 142, "1187491": 142, "1187492": 142, "1187497": 142, "1187499": 142, "1187511": 142, "1187512": 142, "1187525": 142, "1187531": 142, "1187541": 142, "1187591": 142, "1187665": 142, "1187694": 142, "1187695": 142, "1187696": 142, "1187697": 142, "1187698": 142, "1187701": 142, "1187702": 142, "1187703": 142, "1187704": 142, "1187705": 142, "1187706": 142, "1187707": 142, "1187708": 142, "1187709": 142, "1187711": 142, "1187713": 142, "1187716": 142, "1187717": 142, "1187718": 142, "1187725": 142, "1187725067138672": 142, "1187730": 142, "1187731": 142, "1187738": 142, "1187739": 142, "1187762": 142, "1187764": 142, "1187770": 142, "1187771": 142, "1187790": 142, "1187800": 142, "1187809": 142, "1187810897827148": 142, "1187811": 142, "1187812": 142, "1187816": 142, "1187822": 142, "1187844": 142, "1187869": 142, "1187874": 142, "1187876": 142, "1187881": 142, "1187884": 142, "1187911": 142, "1187913": 142, "1187916": 142, "1187920": 142, "1187921": 142, "1187922": 142, "1187926": 142, "1187935": 142, "1187939": 142, "1187940": 142, "1187946": 142, "1187948": 142, "1187952": 142, "1187969": 142, "1187974": 142, "1187977": 142, "1187984": 142, "1187993": 142, "1188000": 142, "1188001": 142, "1188002": 142, "1188003": 142, "1188004": 142, "1188008": 142, "1188009": 142, "1188014": 142, "1188015": 142, "1188017": 142, "1188018": 142, "1188019": 142, "1188020": 142, "1188021": 142, "1188022": 142, "1188029": 142, "1188030": 142, "1188031": 142, "1188036": 142, "1188040": 142, "1188042": 142, "1188051": 142, "1188052": 142, "1188059": 142, "1188061": 142, "1188062": 142, "1188065": 142, "1188066": 142, "1188077": 142, "1188079": 142, "1188089": 142, "1188095": 142, "1188102": 142, "1188129": 142, "1188155": 142, "1188158": 142, "1188159": 142, "1188182": 142, "1188208": 142, "1188247203826904": 142, "1188283": 142, "1188292": 142, "1188303": 142, "1188318": 142, "1188321113586426": 142, "1188336": 142, "1188352": 142, "1188355": 142, "1188373": 142, "1188393": 142, "1188413": 142, "1188435": 142, "1188441": 142, "1188445": 142, "1188462": 142, "1188487": 142, "1188501": 142, "1188512": 142, "1188531": 142, "1188542": 142, "1188559": 142, "1188581": 142, "1188605": 142, "1188645": 142, "1188655": 142, "1188662": 142, "1188663": 142, "1188673973083496": 142, "1188678741455078": 142, "1188693": 142, "1188697": 142, "1188725": 142, "1188740730285645": 142, "1188741": 142, "1188761": 142, "1188762": 142, "1188792": 142, "1188794": 142, "1188796": 142, "1188800": 142, "1188805103302002": 142, "1188829": 142, "1188869": 142, "1188890": 142, "1188890933990479": 142, "1188900470733643": 142, "1188913": 142, "1188926": 142, "1188929": 142, "1188977": 142, "1188987": 142, "1189011": 142, "1189023": 142, "1189044": 142, "1189054": 142, "1189061": 142, "1189066": 142, "1189075": 142, "1189099": 142, "1189107": 142, "1189117431640625": 142, "1189147": 142, "1189171": 142, "1189177": 142, "1189202": 142, "1189212": 142, "1189225": 142, "1189230": 142, "1189235": 142, "1189249": 142, "1189260": 142, "1189265": 142, "1189266": 142, "1189272": 142, "1189305": 142, "1189329": 142, "1189340": 142, "1189342": 142, "1189438": 142, "1189448": 142, "1189472": 142, "1189474": 142, "1189475": 142, "1189510": 142, "1189516": 142, "1189520": 142, "1189560": 142, "1189572": 142, "1189573": 142, "1189616": 142, "1189633": 142, "1189634": 142, "1189680099487305": 142, "1189689": 142, "1189696": 142, "1189711093902588": 142, "1189764": 142, "1189774": 142, "1189791": 142, "1189851760864258": 142, "1189870": 142, "1189871": 142, "1189889907836914": 142, "1189916": 142, "1189932": 142, "1189957": 142, "1189978": 142, "1189981": 142, "1189986": 142, "11899874359369278": 142, "1189988": 142, "119": [133, 134, 147], "1190": 142, "1190013": 142, "1190016269683838": 142, "1190041": 142, "1190071105957031": 142, "1190092": 142, "1190098": 142, "1190110": 142, "1190111": 142, "1190136": 142, "1190141": 142, "1190262": 142, "1190267": 142, "1190274": 142, "1190294": 142, "1190451": 142, "1190478": 142, "1190500": 142, "1190573": 142, "1190583": 142, "119060754776001": 142, "1190654": 142, "1190661": 142, "1190672": 142, "1190674304962158": 142, "1190697": 142, "1190733": 142, "1190736": 142, "1190761": 142, "1190773": 142, "1190774": 142, "1190788": 142, "1190841": 142, "1190866": 142, "1190880": 142, "1190908": 142, "1190915": 142, "1190917491912842": 142, "1190929412841797": 142, "1190950": 142, "1190972": 142, "1190981": 142, "1191009": 142, "1191010475158691": 142, "1191025": 142, "1191026": 142, "1191068": 142, "1191076": 142, "1191078": 142, "1191079": 142, "1191083": 142, "1191100": 142, "1191118": 142, "1191202": 142, "1191223": 142, "1191234588623047": 142, "1191256": 142, "1191262": 142, "1191280": 142, "1191285": 142, "1191314": 142, "1191331": 142, "1191353": 142, "1191401": 142, "1191413": 142, "1191422": 142, "1191428": 142, "1191434860229492": 142, "1191450": 142, "1191483": 142, "1191527": 142, "1191538": 142, "1191589": 142, "1191613": 142, "1191625": 142, "1191644": 142, "1191660": 142, "1191663": 142, "1191680": 142, "1191713": 142, "1191777": 142, "1191778": 142, "1191828": 142, "1191845": 142, "1191862": 142, "1191940307617188": 142, "1191953": 142, "1191954": 142, "1192026138305664": 142, "1192092895507812": 142, "1192112": 142, "1192151": 142, "1192175": 142, "1192187": 142, "1192188262939453": 142, "1192251": 142, "1192266": 142, "1192321": 142, "1192328929901123": 142, "1192350": 142, "1192361": 142, "1192374": 142, "1192393": 142, "1192397": 142, "1192424": 142, "1192425": 142, "1192450": 142, "1192454": 142, "1192507": 142, "1192510": 142, "1192532": 142, "1192540": 142, "1192618": 142, "1192637": 142, "1192666": 142, "1192670": 142, "1192693710327148": 142, "1192696": 142, "1192706": 142, "1192730": 142, "1192761": 142, "1192781925201416": 142, "1192783": 142, "1192816": 142, "1192817687988281": 142, "1192824": 142, "1192831": 142, "1192856": 142, "1192877": 142, "1192984": 142, "1193021": 142, "1193055": 142, "1193100": 142, "1193111": 142, "1193188": 142, "1193199": 142, "1193208": 142, "1193227": 142, "1193259": 142, "1193265": 142, "1193315982818604": 142, "1193319": 142, "1193337": 142, "1193368": 142, "1193397": 142, "1193415": 142, "1193423": 142, "1193446": 142, "1193541": 142, "1193558": 142, "119356393814087": 142, "1193568": 142, "1193575": 142, "119359016418457": 142, "1193594": 142, "1193657": 142, "1193708": 142, "1193748": 142, "1193756": 142, "1193800": 142, "1193821": 142, "1193822": 142, "1193832": 142, "1193834": 142, "1193835": 142, "1193847": 142, "1193848": 142, "1193856": 142, "1193899": 142, "1193918": 142, "1193950176239014": 142, "1194": 142, "1194003": 142, "1194030": 142, "119403600692749": 142, "1194040": 142, "1194044": 142, "1194073": 142, "119407653808594": 142, "1194083": 142, "1194113": 142, "1194183": 142, "1194266": 142, "1194350": 142, "1194390": 142, "1194401": 142, "119441270828247": 142, "1194450": 142, "119446039199829": 142, "1194467": 142, "1194481": 142, "119450569152832": 142, "1194520": 142, "1194643": 142, "1194653": 142, "1194660": 142, "1194773": 142, "11948267": 134, "1194970607757568": 142, "1194987": 142, "1194990": 142, "1195": 154, "1195050": 142, "1195116": 142, "1195188": 142, "1195198": 142, "1195257": 142, "1195323467254639": 142, "119532823562622": 142, "1195505": 142, "1195600032806396": 142, "11957": 142, "1195719242095947": 142, "1195735": 142, "1195758": 142, "1195769": 142, "1195788383483887": 142, "11958": 142, "1195837": 142, "1195855": 142, "1195886135101318": 142, "11959": 142, "1195909976959229": 142, "1196": [147, 149], "119633674621582": 142, "1196393": 142, "1196396": 142, "1196401119232178": 142, "1196403503417969": 142, "1196514": 142, "119652271270752": 142, "1196650": 142, "11967": 134, "1196722984313965": 142, "1196730": 142, "1196760": 142, "119682788848877": 142, "1196925640106201": 142, "1196961": 142, "1197": [147, 149], "1197050": 142, "1197161674499512": 142, "1197185516357422": 142, "1197202": 142, "1197212": 142, "1197242": 142, "1197287": 142, "1197539": 142, "1197576522827148": 142, "119757890701294": 142, "1197660": 142, "1197679042816162": 142, "1197723": 142, "1197725": 142, "1197755": 142, "1197760": 142, "1197835": 142, "1197967529296875": 142, "1198091": 142, "1198114": 142, "1198194026947021": 142, "1198205": 142, "1198311": 142, "1198388": 142, "1198447048664093": 142, "1198692": 142, "1198712": 142, "1198724": 142, "1198803": 142, "1198804378509521": 142, "1198948": 142, "1198991": 142, "1199": 154, "1199016": 142, "1199056": 142, "1199503": 142, "1199518": 142, "1199529": 142, "1199559": 142, "1199660301208496": 142, "1199769973754883": 142, "1199793815612793": 142, "119983196258545": 142, "1199851036071777": 142, "119990348815918": 142, "1199922561645508": 142, "1199930": 142, "1199934": 142, "1199938": 142, "1199965": 142, "11e": 147, "11it": 147, "11m": 134, "12": [36, 38, 66, 79, 94, 97, 98, 99, 129, 132, 134, 139, 142, 144, 147, 149, 151, 153, 154, 157, 158], "120": [133, 134, 147], "1200062": 142, "1200102": 142, "1200110912322998": 142, "1200211": 142, "1200220": 142, "1200242042541504": 142, "120033264160156": 142, "1200370788574219": 142, "1200452": 142, "1200507": 142, "1200590133666992": 142, "1200720": 142, "1200750": 142, "1200760": 142, "1200816631317139": 142, "1200883388519287": 142, "1200894": 142, "1200912": 142, "1200971": 142, "1200972": 142, "1200988": 142, "1200e": 147, "1201": 142, "1201014518737793": 142, "1201034": 142, "1201107501983643": 142, "120121955871582": 142, "1201230": 142, "1201519966125488": 142, "1201560": 142, "1201566": 142, "12015700340271": 142, "1201636791229248": 142, "1201758": 142, "1201774": 142, "1201790": 142, "1201836": 142, "120190620422363": 142, "12019944190979": 142, "1202006340026855": 142, "1202025": 142, "1202105": 142, "120210886001587": 142, "1202175617218018": 142, "1202659606933594": 142, "1202662": 142, "1202664375305176": 142, "120269775390625": 142, "1202780": 142, "1202791": 142, "1202940940856934": 142, "1202969551086426": 142, "1203007698059082": 142, "1203027": 142, "1203073": 142, "1203100681304932": 142, "1203241": 142, "1203253": 142, "1203283": 142, "1203324": 142, "1203338": 142, "1203353": 142, "1203419": 142, "1203422": 142, "1203760": 142, "1203815937042236": 142, "120396375656128": 142, "1204": 133, "1204061": 142, "1204140186309814": 142, "1204144954681396": 142, "1204281": 142, "1204378604888916": 142, "1204392": 142, "1204578876495361": 142, "1204627": 142, "1204805": 142, "120485544204712": 142, "1205": 133, "1205301": 142, "1205307": 142, "1205310821533203": 142, "1205321": 142, "1205322": 142, "1205329": 142, "1205335": 142, "1205337": 142, "1205342": 142, "1205343": 142, "1205346": 142, "1205354": 142, "1205360": 142, "1205372": 142, "1205379": 142, "1205390": 142, "1205392": 142, "120542049407959": 142, "1205422": 142, "1205454": 142, "1205493": 142, "1205503": 142, "1205523": 142, "1205588": 142, "1205610": 142, "1205641": 142, "1205652": 142, "1205741": 142, "1205768": 142, "1205784": 142, "1205786": 142, "1205800": 142, "1205827": 142, "1205828": 142, "1205828189849854": 142, "1205841": 142, "1205858": 142, "1205864": 142, "12059": 142, "1205952912569046": 142, "1205955": 142, "1205964": 142, "1205965": 142, "1205978": 142, "1205986": 142, "1206": 133, "1206014": 142, "1206058": 142, "1206072": 142, "1206080": 142, "1206083": 142, "1206088": 142, "1206110": 142, "1206123": 142, "1206129": 142, "1206135": 142, "1206152": 142, "1206157": 142, "1206177": 142, "1206239": 142, "1206242": 142, "1206267": 142, "1206268": 142, "120629072189331": 142, "1206296": 142, "1206320": 142, "1206348": 142, "1206349": 142, "1206350": 142, "1206362": 142, "1206365": 142, "1206369": 142, "1206371": 142, "1206374": 142, "1206378": 142, "1206379": 142, "1206397": 142, "1206405": 142, "1206406": 142, "1206409": 142, "1206424": 142, "1206431": 142, "1206486": 142, "1206500": 142, "1206510": 142, "1206518": 142, "1206525": 142, "1206529": 142, "1206541": 142, "1206544": 142, "1206550": 142, "1206551": 142, "1206558": 142, "1206568": 142, "1206573": 142, "1206591": 142, "1206594": 142, "1206600": 142, "1206635": 142, "1206636": 142, "1206638": 142, "1206659": 142, "1206674": 142, "1206679": 142, "1206681": 142, "1206699": 142, "12067": 142, "1206704": 142, "1206718": 142, "1206741": 142, "1206743": 142, "1206750": 142, "1206780": 142, "1206790": 142, "1206817": 142, "1206819": 142, "1206829": 142, "1206830": 142, "1206849": 142, "1206853": 142, "1206854": 142, "1206858": 142, "1206863": 142, "1206867": 142, "1206874": 142, "1206884": 142, "1206893": 142, "1206898": 142, "1206920": 142, "1206921": 142, "1206926": 142, "1206927": 142, "1206941": 142, "1206964": 142, "1207001209259033": 142, "1207004": 142, "1207011": 142, "1207013": 142, "1207015": 142, "1207022": 142, "1207024": 142, "1207026": 142, "1207032": 142, "1207078": 142, "1207079": 142, "1207090": 142, "1207095": 142, "12071": 142, "1207100": 142, "1207101": 142, "1207102": 142, "1207113": 142, "1207117": 142, "1207121": 142, "1207125": 142, "1207127": 142, "1207142": 142, "1207169": 142, "1207193": 142, "1207196": 142, "1207222": 142, "1207251": 142, "1207341": 142, "1207359": 142, "1207365": 142, "1207380": 142, "1207381": 142, "1207382": 142, "1207383": 142, "1207384": 142, "1207392": 142, "1207393": 142, "1207394": 142, "1207408": 142, "1207414": 142, "1207417": 142, "1207418": 142, "1207419": 142, "1207421": 142, "1207424": 142, "1207428": 142, "1207436": 142, "1207446": 142, "1207448": 142, "1207450": 142, "1207463": 142, "1207467": 142, "12075406312942505": 142, "1207598": 142, "1207608": 142, "1207627": 142, "1207637786865234": 142, "1207671": 142, "1207692": 142, "1207695007324219": 142, "1207702159881592": 142, "1207707": 142, "1207708": 142, "1207714": 142, "1207717": 142, "1207723": 142, "1207724": 142, "1207727": 142, "1207728": 142, "1207736": 142, "1207753": 142, "1207757": 142, "1207763": 142, "1207776": 142, "1207781": 142, "1207782": 142, "1207784": 142, "1207788": 142, "1207799": 142, "1207805": 142, "1207811": 142, "1207820": 142, "1207828": 142, "1207830": 142, "1207843": 142, "1207848": 142, "1207855": 142, "1207878": 142, "1207893": 142, "12079": 142, "1207905": 142, "1207910": 142, "1207911": 142, "1207942962646484": 142, "120798110961914": 142, "120804786682129": 142, "1208093166351318": 142, "1208159923553467": 142, "1208170": 142, "1208195": 142, "1208204": 142, "1208205": 142, "1208217": 142, "1208220": 142, "1208221": 142, "1208222": 142, "1208223": 142, "1208228": 142, "1208235": 142, "1208239": 142, "1208241": 142, "1208243": 142, "1208246": 142, "1208248": 142, "1208257": 142, "1208261": 142, "1208265": 142, "1208267": 142, "1208273": 142, "1208287": 142, "12083": 142, "1208308": 142, "1208323": 142, "1208335": 142, "1208400": 142, "1208406": 142, "1208409": 142, "1208455562591553": 142, "1208517": 142, "1208554": 142, "1208557": 142, "1208564": 142, "1208576": 142, "1208587": 142, "1208590": 142, "12086": 142, "1208621": 142, "1208629": 142, "12087": 142, "1208721": 142, "1208727": 142, "1208730": 142, "120877742767334": 142, "1208810806274414": 142, "1208837": 142, "1208839": 142, "1208852": 142, "1208868026733398": 142, "1208923": 142, "1208943": 142, "1208952": 142, "1208973": 142, "1208991": 142, "1209": 142, "1209003": 142, "1209009": 142, "1209024": 142, "1209036": 142, "1209044": 142, "1209047": 142, "1209061": 142, "1209063": 142, "1209089": 142, "1209111": 142, "1209130": 142, "1209153": 142, "1209156513214111": 142, "1209161": 142, "1209179": 142, "1209191": 142, "1209214": 142, "1209241": 142, "1209290027618408": 142, "1209292": 142, "1209302": 142, "1209388": 142, "1209422": 142, "1209498": 142, "1209508": 142, "1209522": 142, "1209626197814941": 142, "1209790706634521": 142, "1209791": 142, "12098": 142, "1209818": 142, "1209823": 142, "1209828": 142, "1209887": 142, "1209936141967773": 142, "1209946": 142, "1209948": 142, "1209960": 142, "1209993362426758": 142, "121": [132, 133, 142, 147, 157], "1210": 154, "1210002": 142, "1210131645202637": 142, "1210141": 142, "121016502380371": 142, "1210211": 142, "1210215": 142, "1210229": 142, "1210246": 142, "1210267": 142, "12104": 142, "1210460": 142, "1210484504699707": 142, "1210555": 142, "1210567": 142, "1210615634918213": 142, "1210618": 142, "1210627": 142, "1210673": 142, "1210696697235107": 142, "1210697": 142, "12107": 142, "1210700": 142, "12108": 142, "1210826": 142, "12109": 142, "1211": 142, "12110": 142, "1211046": 142, "1211090087890625": 142, "12112": 142, "1211251": 142, "1211264": 142, "121131420135498": 142, "1211367": 142, "1211377": 142, "1211440": 142, "1211442947387695": 142, "1211466789245605": 142, "1211471": 142, "1211533": 142, "1211562156677246": 142, "1211589": 142, "1211633": 142, "121164083480835": 142, "1211643": 142, "1211743": 142, "121185302734375": 142, "1211890": 142, "1211922": 142, "1211981": 142, "1212011": 142, "1212045": 142, "1212052": 142, "1212110": 142, "1212161": 142, "1212167": 142, "1212187": 142, "1212189": 142, "1212191": 142, "1212193": 142, "1212231": 142, "1212239265441895": 142, "1212307": 142, "1212407": 142, "1212409": 142, "1212416": 142, "1212428": 142, "1212435": 142, "1212441": 142, "1212453842163086": 142, "121246099472046": 142, "1212463": 142, "1212597": 142, "1212609": 142, "1212637": 142, "1212666": 142, "1212671": 142, "1212680": 142, "1212682": 142, "1212691": 142, "1212695": 142, "121281385421753": 142, "1212900": 142, "1212970": 142, "1213": 133, "121305465698242": 142, "1213078498840332": 142, "1213091": 142, "1213092": 142, "1213219165802002": 142, "1213252": 142, "1213642": 142, "1213645": 142, "121366262435913": 142, "1213692": 142, "12137": 142, "1213703": 142, "121370553970337": 142, "1213747": 142, "1213754": 142, "1213756": 142, "1213762": 142, "1213816": 142, "121384859085083": 142, "1213948": 142, "1213959": 142, "1213974": 142, "1213976": 142, "1213982": 142, "1214": 133, "121403455734253": 142, "1214042": 142, "1214048862457275": 142, "1214064": 142, "1214093": 142, "1214099": 142, "1214123": 142, "121424913406372": 142, "1214261": 142, "1214306": 142, "121438980102539": 142, "1214632987976074": 142, "1214690208435059": 142, "1214784": 142, "1214786": 142, "121478796005249": 142, "1214793": 142, "1214794": 142, "1214797496795654": 142, "1214809": 142, "1214838": 142, "1214842": 142, "1214851": 142, "1214857": 142, "1214872": 142, "1214889": 142, "1214894": 142, "1214901": 142, "121495008468628": 142, "1214988": 142, "1215": 133, "121514081954956": 142, "1215167045593262": 142, "1215168": 142, "1215169": 142, "1215170": 142, "1215175": 142, "1215177": 142, "1215179": 142, "1215180": 142, "1215181": 142, "1215181350708008": 142, "1215186": 142, "1215188": 142, "1215189": 142, "1215190": 142, "1215194": 142, "1215201": 142, "1215203": 142, "1215205": 142, "1215207": 142, "1215208": 142, "1215213": 142, "1215214": 142, "1215215": 142, "1215216": 142, "1215217": 142, "1215220": 142, "1215221": 142, "1215224": 142, "1215227": 142, "1215230": 142, "1215234": 142, "1215240": 142, "1215241": 142, "1215242": 142, "1215244": 142, "1215246": 142, "1215250492095947": 142, "1215256": 142, "1215257": 142, "1215259": 142, "1215268": 142, "1215269": 142, "1215270": 142, "1215271": 142, "1215274": 142, "1215275": 142, "1215277": 142, "1215279": 142, "1215286": 142, "1215290": 142, "1215291": 142, "1215293": 142, "1215295": 142, "1215296": 142, "1215298": 142, "1215299": 142, "1215302": 142, "1215305": 142, "1215306": 142, "1215307": 142, "1215315": 142, "1215317": 142, "1215317249298096": 142, "1215318": 142, "1215320": 142, "1215321": 142, "1215323": 142, "1215324": 142, "1215326": 142, "1215327": 142, "1215329": 142, "1215331": 142, "1215333": 142, "1215335": 142, "1215336": 142, "1215338": 142, "1215339": 142, "1215340": 142, "1215344": 142, "1215345": 142, "1215346": 142, "1215353": 142, "1215354": 142, "1215356": 142, "1215357": 142, "1215357780456543": 142, "1215362": 142, "1215363": 142, "1215365": 142, "1215366": 142, "1215367": 142, "1215368": 142, "1215370": 142, "1215371": 142, "1215372": 142, "1215374": 142, "1215375": 142, "1215378": 142, "1215379": 142, "1215382": 142, "1215384": 142, "1215385": 142, "1215386": 142, "1215392": 142, "1215397": 142, "1215398": 142, "1215400": 142, "1215401": 142, "1215403": 142, "1215406": 142, "1215412": 142, "1215413": 142, "1215416": 142, "1215420": 142, "1215423": 142, "1215424": 142, "1215429": 142, "1215430": 142, "1215434": 142, "1215437": 142, "1215438": 142, "1215440": 142, "1215442": 142, "1215446": 142, "1215447": 142, "1215448": 142, "1215450": 142, "1215451": 142, "1215452": 142, "1215453": 142, "1215455": 142, "1215460": 142, "1215461": 142, "1215462": 142, "1215466": 142, "1215475": 142, "1215476": 142, "1215477": 142, "1215478": 142, "1215479": 142, "1215484": 142, "1215486": 142, "1215487": 142, "1215488": 142, "1215490": 142, "1215491": 142, "1215496": 142, "1215497": 142, "1215503": 142, "1215506": 142, "1215509": 142, "1215510": 142, "1215513": 142, "1215515": 142, "1215517": 142, "1215518": 142, "1215524": 142, "1215528": 142, "1215529": 142, "1215531": 142, "1215532": 142, "1215533": 142, "1215536": 142, "1215543": 142, "1215552": 142, "1215553283691406": 142, "1215554": 142, "1215560": 142, "1215561": 142, "1215564": 142, "1215566": 142, "1215568": 142, "1215570": 142, "1215573": 142, "1215575": 142, "1215577": 142, "1215579": 142, "1215580": 142, "1215582": 142, "1215583": 142, "1215586": 142, "1215595": 142, "1215597": 142, "1215598": 142, "1215600": 142, "1215609": 142, "1215610": 142, "1215624": 142, "1215627": 142, "1215633": 142, "1215634": 142, "1215638": 142, "1215639": 142, "1215648651123047": 142, "121565580368042": 142, "1215657": 142, "1215659": 142, "1215660": 142, "1215662": 142, "1215663": 142, "1215665": 142, "1215676": 142, "1215678": 142, "1215689": 142, "1215700": 142, "1215704": 142, "1215709": 142, "1215711": 142, "1215712": 142, "1215714": 142, "1215715": 142, "1215721": 142, "1215724": 142, "1215726": 142, "1215729": 142, "1215733": 142, "1215734": 142, "1215735": 142, "1215750": 142, "1215751": 142, "1215757": 142, "1215774": 142, "1215776": 142, "1215779": 142, "1215783": 142, "121578693389893": 142, "1215796": 142, "1215804": 142, "1215806": 142, "1215811": 142, "1215817": 142, "1215872": 142, "1215874": 142, "1215885": 142, "1215898": 142, "1215905": 142, "1215907": 142, "1215914": 142, "1215915": 142, "1215918": 142, "1215918064117432": 142, "1215928": 142, "1215933": 142, "1215934": 142, "1215935": 142, "1215937": 142, "1215942": 142, "1215945": 142, "1215948": 142, "1215949": 142, "1215953": 142, "1215955": 142, "1215957": 142, "1215958": 142, "1215960": 142, "1215961": 142, "1215971": 142, "1215979": 142, "1215987": 142, "1215988": 142, "1215997": 142, "1216": 154, "1216001": 142, "1216005": 142, "1216007": 142, "1216016": 142, "1216017": 142, "1216021": 142, "1216029": 142, "1216033": 142, "1216045": 142, "1216047": 142, "1216052": 142, "1216056": 142, "1216057": 142, "1216058": 142, "1216065": 142, "1216066": 142, "1216072": 142, "1216074": 142, "1216077": 142, "1216078": 142, "1216079": 142, "1216080": 142, "1216081": 142, "1216082": 142, "1216091": 142, "1216108": 142, "1216110": 142, "1216112": 142, "1216113": 142, "1216124": 142, "1216128": 142, "1216134": 142, "1216135": 142, "1216136": 142, "1216148": 142, "1216156": 142, "1216166": 142, "1216167": 142, "1216169": 142, "1216170": 142, "121617078781128": 142, "1216173": 142, "1216174": 142, "1216176": 142, "1216178": 142, "1216179": 142, "1216184": 142, "1216193": 142, "1216195": 142, "1216200": 142, "1216202": 142, "1216210": 142, "1216214": 142, "1216218": 142, "1216222": 142, "1216223": 142, "1216225": 142, "1216230": 142, "1216231": 142, "1216238": 142, "1216242": 142, "1216245": 142, "1216247": 142, "1216252": 142, "1216254": 142, "1216267": 142, "1216278": 142, "1216279": 142, "1216290": 142, "1216292": 142, "1216296": 142, "1216300": 142, "1216310": 142, "1216323": 142, "1216325": 142, "1216327": 142, "1216329": 142, "1216338": 142, "1216347": 142, "1216348": 142, "1216349": 142, "1216351": 142, "1216352": 142, "1216354": 142, "1216378": 142, "1216394": 142, "1216394901275635": 142, "1216397": 142, "1216411": 142, "1216414": 142, "1216427": 142, "1216430": 142, "1216436": 142, "1216437": 142, "1216439": 142, "1216440": 142, "1216443": 142, "1216446": 142, "1216450": 142, "1216451": 142, "1216453": 142, "1216457": 142, "1216460": 142, "1216463": 142, "1216464": 142, "1216468": 142, "1216470": 142, "121647596359253": 142, "1216478": 142, "1216480": 142, "1216481": 142, "1216486": 142, "1216490": 142, "1216495": 142, "1216496": 142, "1216498": 142, "1216501": 142, "1216503": 142, "1216505": 142, "1216513": 142, "1216519": 142, "1216530": 142, "1216563": 142, "1216566": 142, "1216567": 142, "1216571": 142, "121657133102417": 142, "1216572": 142, "1216575": 142, "1216577": 142, "1216581": 142, "1216592": 142, "1216600": 142, "1216601": 142, "1216602": 142, "1216612": 142, "1216621": 142, "1216622": 142, "1216635": 142, "1216640": 142, "1216641": 142, "1216645240783691": 142, "1216648": 142, "1216655": 142, "1216659": 142, "1216661": 142, "1216666": 142, "1216670": 142, "1216672": 142, "1216675": 142, "1216676": 142, "1216677": 142, "1216678": 142, "1216680": 142, "1216681": 142, "1216683": 142, "1216687": 142, "1216698": 142, "1216699": 142, "1216700": 142, "1216708": 142, "1216713": 142, "1216724": 142, "1216734": 142, "1216739": 142, "1216741": 142, "1216743": 142, "1216761": 142, "1216764": 142, "1216765": 142, "1216767": 142, "1216772": 142, "1216775": 142, "1216784": 142, "1216799": 142, "1216809749603271": 142, "1216825": 142, "1216826": 142, "1216843": 142, "1216848": 142, "1216850": 142, "1216851": 142, "1216865": 142, "1216867": 142, "1216876": 142, "1216883": 142, "1216894": 142, "1216903": 142, "1216905117034912": 142, "1216906": 142, "1216912": 142, "1216913": 142, "1216917": 142, "1216927": 142, "1216945": 142, "1216946": 142, "1216949": 142, "1216961": 142, "1216963": 142, "1216977": 142, "1217": 133, "1217009": 142, "1217015": 142, "1217016": 142, "1217017": 142, "1217020": 142, "1217022": 142, "1217024": 142, "1217039": 142, "1217040": 142, "1217048": 142, "1217064": 142, "1217065": 142, "1217067": 142, "1217070": 142, "1217076": 142, "1217077": 142, "1217078": 142, "1217079": 142, "1217080": 142, "1217081": 142, "1217087": 142, "1217088": 142, "1217089": 142, "1217092": 142, "1217093": 142, "1217094": 142, "1217096": 142, "1217097": 142, "1217098": 142, "1217100": 142, "1217109": 142, "1217111": 142, "1217112": 142, "1217113": 142, "1217114": 142, "1217118": 142, "1217124": 142, "1217126": 142, "1217130": 142, "1217132": 142, "1217134": 142, "1217136": 142, "1217137": 142, "1217138": 142, "1217140": 142, "1217143": 142, "1217143535614014": 142, "1217144": 142, "1217145": 142, "1217146": 142, "1217148": 142, "1217151": 142, "1217162": 142, "1217163": 142, "1217166": 142, "1217168": 142, "1217171": 142, "1217172": 142, "1217175": 142, "1217178": 142, "1217179": 142, "1217180": 142, "1217185": 142, "1217186": 142, "1217189": 142, "1217191": 142, "1217192": 142, "1217193": 142, "1217195": 142, "1217196": 142, "1217197": 142, "1217200": 142, "1217201": 142, "1217202": 142, "1217205": 142, "1217210": 142, "1217213": 142, "1217214": 142, "1217215": 142, "1217224": 142, "1217228": 142, "1217229": 142, "1217241": 142, "1217242": 142, "1217250": 142, "1217251": 142, "1217253": 142, "1217254": 142, "1217255": 142, "1217257": 142, "1217260": 142, "1217263": 142, "1217269": 142, "1217270": 142, "1217272": 142, "1217283": 142, "1217285": 142, "1217286": 142, "1217287": 142, "1217291": 142, "1217293": 142, "1217314": 142, "1217319": 142, "1217322": 142, "1217325": 142, "1217326": 142, "1217334": 142, "121734380722046": 142, "1217350": 142, "1217357": 142, "1217360": 142, "1217363": 142, "1217370": 142, "1217371": 142, "1217381": 142, "1217383": 142, "1217407": 142, "1217409": 142, "1217418": 142, "1217422": 142, "1217427253723145": 142, "1217429": 142, "1217437": 142, "1217445": 142, "12174654006958": 142, "121748447418213": 142, "121748924255371": 142, "12175": 142, "1217515": 142, "1217682361602783": 142, "1217755": 142, "1217763": 142, "1217768": 142, "1217770": 142, "1217773": 142, "1217775": 142, "1217777": 142, "1217780": 142, "1217790": 142, "1217791": 142, "1217794": 142, "12178": 142, "1217804": 142, "1217811": 142, "1217815": 142, "1217816": 142, "1217821": 142, "1217829": 142, "1217832": 142, "1217834949493408": 142, "1217836": 142, "1217850": 142, "1217864": 142, "1217869": 142, "1217890": 142, "1217891": 142, "1217893": 142, "1217894": 142, "1217895": 142, "1217897": 142, "1217900": 142, "1217901": 142, "1217902": 142, "1217910": 142, "1217915": 142, "1217917": 142, "1217921": 142, "1217923": 142, "1217926": 142, "1217934": 142, "1217935": 142, "1217942": 142, "1217959": 142, "1217961": 142, "1217966": 142, "1217967": 142, "1217968": 142, "1217971": 142, "1217979": 142, "1217983": 142, "1217985": 142, "1217987": 142, "1217989": 142, "1217990": 142, "1217995": 142, "1218": [133, 147, 149], "12180": 142, "1218002": 142, "1218003": 142, "1218004": 142, "1218008": 142, "1218017": 142, "1218018": 142, "1218019": 142, "1218020": 142, "1218022": 142, "1218026": 142, "1218027": 142, "1218028": 142, "1218029": 142, "1218031": 142, "1218034": 142, "1218035": 142, "1218037": 142, "1218039": 142, "1218041": 142, "1218042": 142, "1218044": 142, "1218049": 142, "1218051": 142, "1218052": 142, "1218053": 142, "1218055": 142, "1218056": 142, "1218060": 142, "1218061": 142, "1218062": 142, "1218063": 142, "1218064": 142, "1218073": 142, "1218077": 142, "1218087": 142, "1218090": 142, "1218093": 142, "1218096": 142, "1218097": 142, "1218103": 142, "1218110": 142, "1218111": 142, "1218117": 142, "1218136": 142, "1218140": 142, "1218163967132568": 142, "1218177": 142, "1218179": 142, "1218185": 142, "1218236": 142, "1218256": 142, "1218262": 142, "1218268": 142, "1218272": 142, "1218273": 142, "1218327": 142, "1218328": 142, "1218329": 142, "1218330": 142, "1218331": 142, "1218334": 142, "1218335": 142, "1218336": 142, "1218338": 142, "1218342": 142, "1218345": 142, "1218349": 142, "1218356": 142, "1218359": 142, "1218362": 142, "1218367": 142, "1218371": 142, "1218372": 142, "1218375": 142, "1218379": 142, "1218380": 142, "1218384": 142, "1218389": 142, "1218390": 142, "1218404": 142, "1218414": 142, "1218415": 142, "1218424": 142, "1218537": 142, "1218540668487549": 142, "1218541": 142, "1218548": 142, "1218558": 142, "1218560": 142, "1218586": 142, "121858835220337": 142, "1218590": 142, "1218592": 142, "1218607425689697": 142, "1218620": 142, "1218678": 142, "1218699": 142, "1218707": 142, "1218708": 142, "1218710": 142, "121871948242188": 142, "1218730": 142, "1218773": 142, "1218804": 142, "1218812": 142, "1218835": 142, "1218850": 142, "1218852": 142, "1218855": 142, "1218856": 142, "1218857": 142, "1218858": 142, "1218865": 142, "1218875": 142, "1218888759613037": 142, "1218889": 142, "1218893": 142, "121889352798462": 142, "1218898": 142, "1218909": 142, "1218912": 142, "1218915": 142, "1218917": 142, "1218924": 142, "1218925": 142, "1218926": 142, "1218928": 142, "1218931": 142, "1218938": 142, "1218951": 142, "1218952": 142, "1218954": 142, "1218955": 142, "1218960": 142, "1218961": 142, "1218966": 142, "1218969821929932": 142, "1218970": 142, "1218976": 142, "1218977": 142, "1218994": 142, "1218999": 142, "1219": [133, 154], "1219000": 142, "1219001": 142, "1219003": 142, "1219003200531006": 142, "1219006": 142, "1219009": 142, "1219015": 142, "1219016": 142, "1219034": 142, "1219050": 142, "1219065189361572": 142, "1219132": 142, "1219145": 142, "1219193": 142, "1219203": 142, "1219220": 142, "1219226": 142, "1219237": 142, "1219249": 142, "1219258": 142, "1219259": 142, "1219262": 142, "1219266": 142, "1219280": 142, "1219291": 142, "1219292": 142, "1219293": 142, "1219296": 142, "1219304": 142, "1219312": 142, "1219322": 142, "1219323": 142, "1219328": 142, "1219330": 142, "1219339": 142, "1219356": 142, "1219369": 142, "1219380": 142, "1219393": 142, "1219395": 142, "1219396": 142, "1219410": 142, "1219419": 142, "1219423": 142, "1219430": 142, "1219431": 142, "1219434": 142, "1219437": 142, "1219441": 142, "1219442": 142, "1219446": 142, "1219457": 142, "1219458": 142, "1219462": 142, "1219463348388672": 142, "1219464": 142, "1219466": 142, "1219469": 142, "1219472": 142, "1219473": 142, "1219475": 142, "1219478": 142, "1219480": 142, "1219487": 142, "1219488": 142, "1219496": 142, "1219497": 142, "1219501": 142, "1219503": 142, "1219509": 142, "1219512": 142, "1219513": 142, "1219515": 142, "1219516": 142, "1219521": 142, "1219522": 142, "1219527": 142, "1219530": 142, "1219533": 142, "1219535": 142, "1219539": 142, "1219645": 142, "1219661": 142, "1219663619995117": 142, "1219720": 142, "1219732": 142, "1219734": 142, "1219748": 142, "1219761": 142, "1219787": 142, "1219795": 142, "1219797": 142, "1219798": 142, "1219799": 142, "1219800": 142, "1219818": 142, "1219871": 142, "1219908": 142, "1219917": 142, "1219920": 142, "1219922": 142, "1219924": 142, "1219926": 142, "1219928": 142, "1219939": 142, "1219940": 142, "1219943": 142, "1219948": 142, "1219954": 142, "1219970": 142, "122": [134, 147], "1220": 133, "1220003": 142, "1220004": 142, "1220009": 142, "1220013": 142, "1220023": 142, "1220035": 142, "1220046": 142, "1220052": 142, "1220057": 142, "1220079": 142, "1220081": 142, "1220083": 142, "1220085": 142, "1220089": 142, "1220090": 142, "1220099": 142, "1220110": 142, "1220138": 142, "1220141": 142, "1220148": 142, "1220151": 142, "1220167": 142, "1220284": 142, "1220298": 142, "1220315": 142, "1220316": 142, "1220318": 142, "1220322": 142, "1220323": 142, "1220327": 142, "1220329": 142, "1220335": 142, "1220337": 142, "1220342": 142, "1220344": 142, "1220345": 142, "1220347": 142, "1220348": 142, "1220356": 142, "1220358": 142, "1220362": 142, "1220364": 142, "1220366": 142, "1220367": 142, "1220369": 142, "1220374": 142, "1220377": 142, "1220381": 142, "1220382": 142, "1220385": 142, "1220390": 142, "1220391": 142, "1220392": 142, "1220393": 142, "1220396": 142, "1220398": 142, "1220401": 142, "1220404": 142, "1220408": 142, "1220409": 142, "1220412": 142, "1220413": 142, "1220417": 142, "1220418": 142, "1220423": 142, "1220425": 142, "1220426": 142, "1220427": 142, "1220429": 142, "1220433": 142, "1220435": 142, "1220436": 142, "1220441": 142, "1220442": 142, "1220443": 142, "1220453": 142, "1220454": 142, "1220455": 142, "1220458": 142, "1220460": 142, "1220468": 142, "1220469": 142, "1220470": 142, "1220472": 142, "1220475": 142, "1220476": 142, "1220481": 142, "1220482": 142, "1220483": 142, "1220488": 142, "1220492": 142, "1220502": 142, "1220503": 142, "1220511": 142, "1220522": 142, "1220523": 142, "1220525": 142, "1220541": 142, "1220546": 142, "1220549": 142, "1220559": 142, "1220569": 142, "1220579": 142, "1220581531524658": 142, "1220586": 142, "1220587": 142, "1220590": 142, "1220594": 142, "1220595836639404": 142, "1220596": 142, "1220597": 142, "1220598": 142, "1220599": 142, "1220606": 142, "1220613": 142, "1220620": 142, "1220631": 142, "1220634": 142, "1220635": 142, "1220636": 142, "1220645": 142, "1220657": 142, "1220660": 142, "1220663": 142, "1220667": 142, "1220669": 142, "1220670": 142, "1220675": 142, "1220676": 142, "1220678": 142, "1220681": 142, "1220686": 142, "1220689": 142, "1220691": 142, "1220692": 142, "1220695": 142, "1220696": 142, "1220700": 142, "1220701": 142, "1220711": 142, "1220716": 142, "1220720": 142, "1220732": 142, "1220734": 142, "1220738": 142, "1220742": 142, "1220743": 142, "1220746": 142, "1220748": 142, "1220756": 142, "1220758": 142, "1220761": 142, "1220766": 142, "1220777": 142, "1220781803131104": 142, "1220782": 142, "1220786": 142, "1220795": 142, "1220798": 142, "1220810": 142, "1220866": 142, "1220879": 142, "1220882": 142, "1220883": 142, "1220914": 142, "1220934": 142, "1220944": 142, "1221": [133, 142], "1221007": 142, "1221101": 142, "1221102": 142, "1221120357513428": 142, "1221125": 142, "1221137": 142, "1221139": 142, "1221198": 142, "1221201419830322": 142, "1221252": 142, "1221310": 142, "1221319": 142, "1221333": 142, "1221335": 142, "1221342": 142, "1221364": 142, "1221382": 142, "1221395": 142, "1221396": 142, "1221402": 142, "1221404": 142, "1221407": 142, "1221410": 142, "1221413": 142, "1221420": 142, "1221421": 142, "1221422": 142, "1221424": 142, "1221425": 142, "1221427": 142, "1221429": 142, "1221431": 142, "1221432": 142, "1221434": 142, "1221436": 142, "1221437": 142, "1221442": 142, "1221454": 142, "1221484": 142, "1221485": 142, "1221487": 142, "1221491": 142, "1221495": 142, "1221497": 142, "1221499": 142, "1221500": 142, "1221501": 142, "1221502": 142, "1221503": 142, "1221505": 142, "1221509": 142, "1221510": 142, "1221513": 142, "1221515": 142, "1221517": 142, "1221521": 142, "1221525": 142, "1221528": 142, "1221529": 142, "1221530": 142, "1221531": 142, "1221533": 142, "1221534": 142, "1221548": 142, "1221549": 142, "1221552": 142, "1221554": 142, "1221555": 142, "1221559": 142, "1221572": 142, "1221580": 142, "1221587657928467": 142, "1221591": 142, "1221596": 142, "1221606": 142, "1221610": 142, "1221619": 142, "1221620": 142, "1221623": 142, "1221624": 142, "1221626": 142, "1221629": 142, "1221632": 142, "1221639": 142, "1221641": 142, "1221642": 142, "1221643": 142, "1221646": 142, "1221650": 142, "1221656": 142, "1221660": 142, "1221662": 142, "1221664": 142, "1221667": 142, "1221669": 142, "1221672": 142, "1221673": 142, "1221675": 142, "1221678": 142, "1221679": 142, "1221689": 142, "1221690": 142, "1221692": 142, "1221696": 142, "1221697": 142, "1221702": 142, "1221703": 142, "1221707": 142, "1221708": 142, "1221713": 142, "1221714": 142, "1221718": 142, "1221720": 142, "1221723": 142, "1221728": 142, "1221731": 142, "1221734": 142, "1221737": 142, "1221741": 142, "1221742": 142, "1221743": 142, "1221748": 142, "1221749": 142, "1221758": 142, "1221760": 142, "1221761": 142, "1221763": 142, "1221771240234375": 142, "1221774": 142, "1221776": 142, "1221777": 142, "1221780": 142, "1221782": 142, "1221787": 142, "1221789": 142, "1221790": 142, "1221793": 142, "1221794": 142, "1221798": 142, "1221804": 142, "1221807": 142, "1221815": 142, "1221824": 142, "1221826": 142, "1221826076507568": 142, "1221827": 142, "122182846069336": 142, "1221843": 142, "1221872": 142, "1221876": 142, "1221890": 142, "1221898": 142, "1221900": 142, "1221903": 142, "1221907": 142, "1221922": 142, "1221923": 142, "1221935": 142, "1221938": 142, "1221948": 142, "1221975": 142, "1221977": 142, "1221987": 142, "1222": [133, 142], "1222000": 142, "1222007274627686": 142, "1222023963928223": 142, "1222026": 142, "1222031": 142, "1222054": 142, "1222074": 142, "1222076": 142, "1222085": 142, "1222087": 142, "1222092": 142, "1222102": 142, "1222110": 142, "1222126": 142, "1222131": 142, "1222132": 142, "1222148": 142, "1222167": 142, "1222181": 142, "1222194": 142, "1222206": 142, "1222245693206787": 142, "1222474": 142, "1222504": 142, "1222586": 142, "1222915649414062": 142, "1222984790802002": 142, "1223": 133, "122329711914062": 142, "1223307": 142, "1223311": 142, "1223313": 142, "1223376": 142, "1223378": 142, "1223382": 142, "1223400": 142, "1223443": 142, "1223478": 142, "1223503": 142, "1223510": 142, "1223529": 142, "1223530769348145": 142, "1223561": 142, "1223571300506592": 142, "1223581": 142, "1223584": 142, "1223638": 142, "1223642": 142, "1223646": 142, "1223647": 142, "1223660": 142, "1223664": 142, "1223671": 142, "1223673": 142, "1223682": 142, "1223695": 142, "1223713": 142, "1223714": 142, "1223719120025635": 142, "1223727": 142, "1223733": 142, "1223749": 142, "1223753": 142, "1223754": 142, "1223755": 142, "1223773": 142, "1223781": 142, "1223788261413574": 142, "1223791": 142, "1223798": 142, "1223802": 142, "1223807": 142, "1223810": 142, "1223813": 142, "1223818": 142, "1223820": 142, "1223823": 142, "1223824": 142, "1223828": 142, "1223831": 142, "1223832": 142, "1223834": 142, "1223835": 142, "1223837": 142, "1223842": 142, "1223844": 142, "1223845": 142, "1223851": 142, "1223857": 142, "1223859": 142, "1223860": 142, "1223866": 142, "1223869": 142, "1223870": 142, "1223879": 142, "1223884": 142, "1223891": 142, "1223898": 142, "1223907": 142, "1223908": 142, "1223919": 142, "1223932": 142, "1223955": 142, "1223969459533691": 142, "1223971": 142, "1223976": 142, "1223977": 142, "1223986": 142, "1223993": 142, "1223996": 142, "1224": 133, "1224005": 142, "1224009": 142, "1224020": 142, "1224035": 142, "1224047": 142, "1224067": 142, "1224082": 142, "1224091": 142, "1224092": 142, "1224108": 142, "1224116": 142, "1224121": 142, "1224137": 142, "1224151": 142, "1224155": 142, "1224165": 142, "1224169": 142, "1224173": 142, "1224175": 142, "1224188": 142, "1224193": 142, "1224212": 142, "1224218": 142, "1224219799041748": 142, "1224223": 142, "1224244": 142, "1224247": 142, "1224250": 142, "1224255": 142, "1224257": 142, "1224259": 142, "1224271": 142, "1224272": 142, "1224275": 142, "1224282": 142, "1224286": 142, "1224298": 142, "1224303": 142, "1224306": 142, "1224308013916016": 142, "1224309": 142, "1224317": 142, "1224318": 142, "1224321": 142, "1224324": 142, "1224326": 142, "1224327": 142, "1224329": 142, "1224331": 142, "1224336": 142, "1224337": 142, "1224339": 142, "1224342": 142, "1224346": 142, "1224354": 142, "1224356": 142, "1224358": 142, "1224364": 142, "1224366": 142, "1224371": 142, "1224372": 142, "1224373": 142, "1224376": 142, "1224377": 142, "1224378": 142, "1224383": 142, "1224385": 142, "1224386": 142, "1224388": 142, "1224389": 142, "1224390": 142, "1224391": 142, "1224393": 142, "1224395": 142, "1224396": 142, "1224401": 142, "1224402": 142, "1224404": 142, "1224407": 142, "1224408": 142, "1224413": 142, "1224414": 142, "1224418": 142, "1224419": 142, "1224425": 142, "1224426": 142, "1224427": 142, "1224430": 142, "1224435": 142, "1224437": 142, "1224444": 142, "1224446": 142, "1224448": 142, "1224451": 142, "1224454": 142, "1224455": 142, "1224456": 142, "1224459": 142, "1224464": 142, "1224466": 142, "1224473": 142, "1224475": 142, "1224480": 142, "1224481": 142, "1224484": 142, "1224485": 142, "1224488": 142, "1224492": 142, "1224493": 142, "1224494": 142, "1224495": 142, "1224496": 142, "1224498": 142, "1224502": 142, "1224505": 142, "1224506": 142, "1224514": 142, "1224516": 142, "1224524": 142, "1224528": 142, "1224529": 142, "1224536": 142, "1224540": 142, "1224544": 142, "1224559": 142, "1224560": 142, "1224596": 142, "1224598": 142, "1224642": 142, "1224649": 142, "1224651": 142, "1224691": 142, "1224703": 142, "1224707": 142, "1224713": 142, "1224716": 142, "1224725": 142, "1224732": 142, "1224765": 142, "1224768": 142, "1224770": 142, "1224784": 142, "1224789": 142, "1224790": 142, "1224791": 142, "1224792": 142, "1224795": 142, "1224796": 142, "1224798": 142, "1224803": 142, "1224805": 142, "1224809": 142, "1224810": 142, "1224819": 142, "1224822": 142, "1224823": 142, "1224825": 142, "1224831": 142, "1224834": 142, "1224836": 142, "1224840": 142, "1224841": 142, "1224850": 142, "1224859": 142, "1224860": 142, "1224862": 142, "1224863": 142, "1224865": 142, "1224867": 142, "1224870": 142, "1224871": 142, "1224875": 142, "1224878": 142, "1224881": 142, "1224883": 142, "1224885": 142, "1224886": 142, "1224893": 142, "1224896": 142, "1224897": 142, "1224900": 142, "1224901": 142, "1224908": 142, "1224910": 142, "1224913": 142, "1224915": 142, "1224916": 142, "1224932670593262": 142, "1224940": 142, "1224944": 142, "1224947": 142, "1224950": 142, "1224951": 142, "1224954": 142, "1224972": 142, "1224978": 142, "1224980": 142, "1224983": 142, "1224985": 142, "1224986": 142, "1224987": 142, "1224990": 142, "1224e": 147, "1225": 133, "1225000": 142, "1225002": 142, "1225004": 142, "1225009": 142, "1225013": 142, "1225016": 142, "1225022": 142, "1225023": 142, "1225030422210693": 142, "1225054": 142, "1225059": 142, "1225078": 142, "1225087642669678": 142, "1225101": 142, "1225119": 142, "1225125": 142, "1225136": 142, "122513771057129": 142, "1225141": 142, "1225166": 142, "1225169": 142, "1225174": 142, "1225179": 142, "1225183": 142, "1225186": 142, "1225190162658691": 142, "1225197": 142, "1225200": 142, "1225204": 142, "1225210": 142, "1225216388702393": 142, "1225224": 142, "1225227": 142, "1225232": 142, "1225260": 142, "1225290": 142, "122532606124878": 142, "1225358": 142, "1225420": 142, "1225423": 142, "1225654": 142, "1225656": 142, "1225674152374268": 142, "1225676": 142, "1225701": 142, "1225702": 142, "1225721836090088": 142, "1225731": 142, "1225744": 142, "1225747": 142, "1225751": 142, "1225771": 142, "1225772": 142, "1225786": 142, "1225796": 142, "1225810": 142, "1225811": 142, "1225832": 142, "1225835": 142, "1225839": 142, "1225840": 142, "1225870": 142, "1225871": 142, "1225880": 142, "1225891": 142, "1225892": 142, "1225897": 142, "1225903034210205": 142, "1225914": 142, "1225967": 142, "1225993": 142, "1225994": 142, "1225997": 142, "1225998": 142, "1226": [133, 153, 154], "1226003": 142, "1226004": 142, "1226005554199219": 142, "1226006": 142, "1226008": 142, "1226009": 142, "1226011": 142, "1226013": 142, "1226014": 142, "1226015": 142, "1226017": 142, "1226019": 142, "1226021": 142, "1226024": 142, "1226030": 142, "1226031": 142, "1226035": 142, "1226036": 142, "1226037": 142, "1226038": 142, "1226039": 142, "1226040": 142, "1226048": 142, "1226054": 142, "1226056": 142, "1226064": 142, "1226065": 142, "1226067": 142, "1226069": 142, "1226070": 142, "1226072": 142, "1226086": 142, "1226087": 142, "1226089": 142, "1226090": 142, "1226096": 142, "1226104": 142, "1226106": 142, "1226108": 142, "1226111": 142, "1226120": 142, "1226121": 142, "1226130": 142, "1226170": 142, "1226179": 142, "1226189": 142, "1226193": 142, "1226207": 142, "1226212": 142, "1226229": 142, "1226236": 142, "1226245": 142, "1226248": 142, "1226249": 142, "1226254": 142, "1226256": 142, "1226258": 142, "1226268": 142, "1226284": 142, "1226290": 142, "1226292": 142, "1226302": 142, "1226309": 142, "1226323": 142, "1226340": 142, "1226343": 142, "1226346": 142, "1226371": 142, "1226373": 142, "1226375": 142, "1226385": 142, "1226398": 142, "1226421": 142, "1226432": 142, "1226441": 142, "1226445": 142, "1226449": 142, "1226452": 142, "1226453": 142, "1226456": 142, "1226458": 142, "1226460": 142, "1226487159729004": 142, "1226505": 142, "1226512": 142, "1226514": 142, "1226586": 142, "12266118824481964": 142, "1226652": 142, "1226687": 142, "1226716": 142, "1226718": 142, "1226720": 142, "1226725": 142, "1226726": 142, "1226728": 142, "1226729": 142, "1226731": 142, "1226736": 142, "1226740": 142, "1226741": 142, "1226754": 142, "1226761": 142, "1226768": 142, "1226783": 142, "1226787": 142, "1226791": 142, "1226794719696045": 142, "1226799488067627": 142, "1226811": 142, "1226820": 142, "1226821": 142, "1226837": 142, "1226897": 142, "1226933": 142, "1226934": 142, "1226939": 142, "1226940": 142, "1226950": 142, "1226952": 142, "1226957": 142, "1226990": 142, "1227": 133, "1227003": 142, "1227011": 142, "1227014": 142, "1227017": 142, "1227020": 142, "1227033": 142, "1227038": 142, "1227042": 142, "1227045": 142, "1227046": 142, "1227051": 142, "1227053": 142, "1227072": 142, "1227083": 142, "1227088": 142, "1227096": 142, "1227112": 142, "1227206": 142, "1227235": 142, "1227245": 142, "1227246": 142, "1227265": 142, "1227285": 142, "1227290": 142, "1227296": 142, "1227298": 142, "1227300": 142, "1227313": 142, "1227319": 142, "1227320": 142, "1227322": 142, "1227330": 142, "1227335": 142, "1227340": 142, "1227346": 142, "1227350": 142, "1227351": 142, "1227354": 142, "1227355": 142, "1227356": 142, "1227364": 142, "1227372": 142, "1227380": 142, "1227383": 142, "1227397": 142, "1227407": 142, "1227409": 142, "1227416": 142, "1227418": 142, "1227419": 142, "1227421": 142, "1227422": 142, "1227426": 142, "1227436": 142, "1227441": 142, "1227450": 142, "1227463": 142, "1227486": 142, "1227493": 142, "12275": 142, "1227503": 142, "1227504": 142, "1227508": 142, "1227512": 142, "1227555": 142, "122755527496338": 142, "1227558": 142, "1227562": 142, "1227567": 142, "1227571": 142, "1227574": 142, "1227630": 142, "1227656": 142, "1227660": 142, "1227661": 142, "1227679252624512": 142, "1227685": 142, "1227695": 142, "1227698": 142, "12277": 142, "1227710247039795": 142, "1227717": 142, "122774362564087": 142, "1227772906422615": 142, "1227788": 142, "1227810": 142, "1227871": 142, "1227877140045166": 142, "1227989196777344": 142, "1227997": 142, "1228": 133, "1228001": 142, "1228006": 142, "1228015": 142, "1228017": 142, "1228032": 142, "1228043": 142, "1228113174438477": 142, "1228117": 142, "122812271118164": 142, "1228126": 142, "1228135": 142, "1228158": 142, "122816801071167": 142, "1228170": 142, "1228186": 142, "1228192": 142, "1228194": 142, "1228288": 142, "1228373050689697": 142, "1228374": 142, "1228426": 142, "1228436": 142, "1228438": 142, "1228443": 142, "1228454": 142, "1228467": 142, "1228473": 142, "1228491": 142, "1228500": 142, "1228506": 142, "1228522": 142, "1228524": 142, "1228554": 142, "1228562": 142, "1228605": 142, "1228607": 142, "1228611": 142, "1228623390197754": 142, "1228690147399902": 142, "1228691": 142, "1228701": 142, "1228713": 142, "1228724": 142, "1228738": 142, "1228745": 142, "1228752": 142, "1228753": 142, "1228758": 142, "1228763": 142, "1228792": 142, "1228801": 142, "1228803": 142, "1228807": 142, "1228810": 142, "1228813": 142, "1228815": 142, "1228816": 142, "1228817": 142, "1228822": 142, "1228823": 142, "1228829": 142, "1228831": 142, "1228832": 142, "1228834": 142, "1228845": 142, "1228856": 142, "1228861": 142, "1228866": 142, "1228882": 142, "1228888": 142, "1228890": 142, "1228891": 142, "1228893": 142, "1228894": 142, "1228895": 142, "1228900": 142, "1228901": 142, "1228905": 142, "1228906": 142, "1228908": 142, "1228909": 142, "1228910": 142, "1228912": 142, "1228913": 142, "1228914": 142, "1228918": 142, "1228921": 142, "1228922": 142, "1228938": 142, "1228943": 142, "1228945": 142, "1228947": 142, "1228952": 142, "1228953": 142, "1228956": 142, "1228971": 142, "1228972": 142, "1228973": 142, "1228983": 142, "1228987": 142, "1228988": 142, "1228991": 142, "1228992": 142, "1229": 133, "1229000": 142, "1229005": 142, "1229006": 142, "1229008": 142, "1229011": 142, "1229012": 142, "1229014": 142, "1229015": 142, "1229019": 142, "1229023": 142, "1229031": 142, "1229032": 142, "1229039": 142, "1229048": 142, "1229060": 142, "1229062": 142, "1229090": 142, "1229092": 142, "1229100": 142, "1229101": 142, "1229114": 142, "1229118": 142, "1229119": 142, "1229158": 142, "1229165": 142, "1229167": 142, "1229195594787598": 142, "1229208": 142, "1229220": 142, "1229235": 142, "1229288578033447": 142, "1229300498962402": 142, "1229863166809082": 142, "123": 147, "1230": 133, "1230113506317139": 142, "1230390071868896": 142, "1230499744415283": 142, "123056173324585": 142, "1230599880218506": 142, "12307": 142, "123072862625122": 142, "1230952739715576": 142, "1230955123901367": 142, "123095989227295": 142, "1231": [133, 142], "1231112480163574": 142, "1231427192687988": 142, "1232": [133, 142], "1232008934020996": 142, "1232037544250488": 142, "123213291168213": 142, "1232213": 142, "1232268": 142, "1232302": 142, "1232317": 142, "123239278793335": 142, "1232423": 142, "1232504844665527": 142, "1232516765594482": 142, "1232526302337646": 142, "1232781410217285": 142, "1233": [133, 142], "1233322620391846": 142, "1233325004577637": 142, "1233429908752441": 142, "12335": 142, "1233515739440918": 142, "1233537197113037": 142, "123378038406372": 142, "1233997344970703": 142, "1234": 133, "12340": 142, "1234009265899658": 142, "1234238147735596": 142, "1234304904937744": 142, "12346884608268738": 142, "12347": 142, "1234710216522217": 142, "1234774589538574": 142, "1234862804412842": 142, "1234934329986572": 142, "1235": [133, 142], "1235058307647705": 142, "1235077381134033": 142, "123511552810669": 142, "123523712158203": 142, "12353515625": 142, "1235382556915283": 142, "123544454574585": 142, "1235449314117432": 142, "123556137084961": 142, "1235792636871338": 142, "12359": 142, "1236": 133, "12360": 142, "1236026287078857": 142, "123640537261963": 142, "12365494e": 134, "123671293258667": 142, "1236798763275146": 142, "1236872673034668": 142, "1237": 154, "1237306594848633": 142, "1237478256225586": 142, "123767614364624": 142, "1237826347351074": 142, "123795509338379": 142, "1238": 133, "12380131334066391": 142, "123807430267334": 142, "12383": 142, "1238315105438232": 142, "123844861984253": 142, "123845100402832": 142, "1238501071929932": 142, "1238510608673096": 142, "1238579750061035": 142, "1238749027252197": 142, "1238784": 142, "1238795": 142, "1238823": 142, "1238825": 142, "1238831": 142, "1238843": 142, "1238845": 142, "1238847": 142, "1238855": 142, "1238872": 142, "1238876": 142, "1238878": 142, "1238890": 142, "1238894": 142, "1238925457000732": 142, "1238958835601807": 142, "123896598815918": 142, "1239": [133, 142], "1239032745361328": 142, "1239173": 142, "1239447593688965": 142, "1239490509033203": 142, "1239614486694336": 142, "1239845752716064": 142, "124": [134, 142, 147], "1240": 154, "1240160465240479": 142, "124016284942627": 142, "1240220069885254": 142, "1240289211273193": 142, "124030351638794": 142, "1240499019622803": 142, "1240520477294922": 142, "1240565776824951": 142, "1240692138671875": 142, "1240708827972412": 142, "124082326889038": 142, "1240875720977783": 142, "1241047382354736": 142, "124114751815796": 142, "1241202354431152": 142, "1241462230682373": 142, "1241543292999268": 142, "12418": 142, "12418532371521": 142, "1242074966430664": 142, "1242549419403076": 142, "1242718696594238": 142, "1242849826812744": 142, "1243085861206055": 142, "12431229650974274": 142, "124321460723877": 142, "12433": 142, "1243360042572021": 142, "124347448348999": 142, "1244": 142, "1244053840637207": 142, "12440620e": 134, "12440622e": 134, "1244094371795654": 142, "1244263648986816": 142, "1244471073150635": 142, "1244523525238037": 142, "1244525909423828": 142, "1244571208953857": 142, "1244606971740723": 142, "1244897842407227": 142, "1245": [142, 154], "1245200634002686": 142, "1245401": 142, "1245407": 142, "1245417": 142, "1245434": 142, "1245445": 142, "1245450973510742": 142, "1245451": 142, "1245505": 142, "1245524": 142, "1245527": 142, "1245535": 142, "1245537": 142, "1245538": 142, "1245558": 142, "1245562": 142, "1245598": 142, "124563217163086": 142, "1245633": 142, "1245636": 142, "1245642": 142, "1245664": 142, "1245673": 142, "1245698": 142, "1245699": 142, "1245702": 142, "1245706": 142, "1245785": 142, "1245806217193604": 142, "1245808": 142, "1245818": 142, "1245824": 142, "1245832": 142, "1245848": 142, "1245850": 142, "1245855": 142, "1245856": 142, "1245861": 142, "1245896": 142, "1245899200439453": 142, "12459": 142, "1245922": 142, "1245927": 142, "1245967": 142, "1245971": 142, "1245988": 142, "1245993": 142, "1246002": 142, "1246021": 142, "1246058": 142, "1246059": 142, "1246060": 142, "1246068": 142, "1246073": 142, "1246089": 142, "1246110": 142, "1246116": 142, "1246123": 142, "1246223": 142, "1246229": 142, "1246243": 142, "1246277": 142, "124629020690918": 142, "12463": 142, "1246302": 142, "1246346": 142, "1246370": 142, "1246378421783447": 142, "1246385": 142, "1246392": 142, "12464": 142, "1246430": 142, "1246440410614014": 142, "1246446": 142, "1246460": 142, "1246461868286133": 142, "1246490": 142, "1246496": 142, "12465": 142, "1246504": 142, "1246509": 142, "1246514": 142, "1246515": 142, "1246517": 142, "1246521": 142, "124652624130249": 142, "1246556": 142, "1246567": 142, "1246571": 142, "12466": 142, "1246609": 142, "124662160873413": 142, "1246637": 142, "1246648": 142, "1246649": 142, "1246657": 142, "1246666": 142, "1246690": 142, "12467": 142, "1246702": 142, "1246711": 142, "1246717": 142, "1246731": 142, "1246735": 142, "1246748": 142, "1246750": 142, "124678611755371": 142, "1246793": 142, "1246797": 142, "124680757522583": 142, "1246819496154785": 142, "1246821": 142, "1246833": 142, "1246856": 142, "1246874": 142, "1246877": 142, "1246891021728516": 142, "1246926": 142, "12469482421875": 142, "1246954": 142, "1246957": 142, "1246970": 142, "1246975": 142, "1247": 142, "1247004": 142, "1247026920318604": 142, "1247040": 142, "124717712402344": 142, "1247185": 142, "1247194": 142, "1247196197509766": 142, "1247199": 142, "1247201": 142, "1247212": 142, "1247246": 142, "1247259": 142, "1247277": 142, "1247284": 142, "1247289": 142, "1247294": 142, "1247327": 142, "1247331": 142, "1247333": 142, "1247347": 142, "1247351": 142, "1247360": 142, "1247361": 142, "1247376": 142, "1247394": 142, "1247403621673584": 142, "1247419": 142, "1247422": 142, "1247427463531494": 142, "1247428": 142, "1247449": 142, "1247450": 142, "1247457": 142, "1247459": 142, "1247491836547852": 142, "1247493": 142, "1247538": 142, "1247541": 142, "1247555": 142, "1247563362121582": 142, "1247566": 142, "1247569": 142, "124763011932373": 142, "124772071838379": 142, "124772310256958": 142, "1247784": 142, "124786615371704": 142, "1247899532318115": 142, "12480": 142, "1248009204864502": 142, "1248056888580322": 142, "124811": [147, 149], "1248116493225098": 142, "124814510345459": 142, "12482261657715": 142, "124822732577936": 142, "1248245239257812": 142, "1248276233673096": 142, "1248283386230469": 142, "124828815460205": 142, "1248323917388916": 142, "12483549118042": 142, "1248433589935303": 142, "124845266342163": 142, "12485933303833": 142, "124861478805542": 142, "1248695850372314": 142, "1248769760131836": 142, "124889850616455": 142, "1248962879180908": 142, "1249029636383057": 142, "124906063079834": 142, "1249125003814697": 142, "124924659729004": 142, "124924898147583": 142, "124931812286377": 142, "1249487400054932": 142, "1249494552612305": 142, "1249580383300781": 142, "1249597072601318": 142, "124969244003296": 142, "1249809265136719": 142, "1249823570251465": 142, "125": [132, 147, 157], "125013828277588": 142, "1250181198120117": 142, "1250269412994385": 142, "1250758171081543": 142, "1250762939453125": 142, "1251": 142, "125107765197754": 142, "1251275539398193": 142, "1251285076141357": 142, "1251471042633057": 142, "1251764297485352": 142, "1251869201660156": 142, "1251964569091797": 142, "12520": 142, "12521": 142, "1252169609069824": 142, "1252176761627197": 142, "125218391418457": 142, "12524": 142, "1252415180206299": 142, "12527": 142, "1252915859222412": 142, "12531": 142, "1253161430358887": 142, "125319480895996": 142, "1253223419189453": 142, "1253271102905273": 142, "125328779220581": 142, "125340536236763": 142, "125359058380127": 142, "12537": 142, "125382661819458": 142, "1253966375952587e": 142, "1254284381866455": 142, "1254289150238037": 142, "1254355907440186": 142, "12546": 142, "1254711151123047": 142, "1254949569702148": 142, "1254e": 147, "12550": 142, "1255314350128174": 142, "1255321502685547": 142, "1255509853363037": 142, "125551700592041": 142, "125560998916626": 142, "1255645751953125": 142, "12557": 142, "12559": 142, "125601053237915": 142, "1256046295166016": 142, "1256098747253418": 142, "12561": 142, "1256151": 142, "1256322860717773": 142, "1256415843963623": 142, "12565": 142, "1256542205810547": 142, "125676155090332": 142, "125688076019287": 142, "125692367553711": 142, "125713348388672": 142, "1257529258728027": 142, "1257684": 142, "1257905960083008": 142, "1258084774017334": 142, "125816822052002": 142, "1258282661437988": 142, "125849962234497": 142, "12585": 142, "125852108001709": 142, "1258533000946045": 142, "1258625984191895": 142, "125865936279297": 142, "1258816719055176": 142, "1259098052978516": 142, "1259102821350098": 142, "12593": 142, "1259331703186035": 142, "12594": 142, "1259417533874512": 142, "12595": 142, "125962734222412": 142, "125981330871582": 142, "1259868144989014": 142, "126": [132, 133, 134, 142, 144, 147, 151, 153, 154, 157], "1260": 142, "126004695892334": 142, "12608": 142, "126096248626709": 142, "1260981559753418": 142, "1260993480682373": 142, "1261": 154, "12611": 142, "1261117458343506": 142, "12614": 142, "1261811256408691": 142, "1261963844299316": 142, "1262011528015137": 142, "12621690332889557": 142, "1262295246124268": 142, "1262435913085938": 142, "1262502670288086": 142, "12627": 142, "126277291215956e": 142, "1262786388397217": 142, "12628": 142, "1263129711151123": 142, "1263446807861328": 142, "12635": 142, "12636": 142, "1263620853424072": 142, "1263959407806396": 142, "1264": 142, "1264004707336426": 142, "1264145374298096": 142, "1264173984527588": 142, "1264348030090332": 142, "1264479160308838": 142, "1264562606811523": 142, "1264581680297852": 142, "1264750957489014": 142, "1264803409576416": 142, "1265053749084473": 142, "1265063285827637": 142, "126535177230835": 142, "1265456676483154": 142, "126558542251587": 142, "12657": 142, "1265766620635986": 142, "12659": 142, "1266": 142, "12662": 142, "126685380935669": 142, "1267011165618896": 142, "1267037391662598": 142, "1267154216766357": 142, "1267201900482178": 142, "12674": 142, "1267452239990234": 142, "1267473697662354": 142, "12675": 142, "1267750263214111": 142, "126776933670044": 142, "12678": 142, "1267809867858887": 142, "1267948150634766": 142, "1267998218536377": 142, "1268112659454346": 142, "12681448459625244": 142, "1268432140350342": 142, "126845359802246": 142, "1268680095672607": 142, "12687323136": 158, "1268813610076904": 142, "1268994808197021": 142, "1269171237945557": 142, "1269240379333496": 142, "1269574165344238": 142, "12697": 142, "1269786357879639": 142, "1269848346710205": 142, "1269876956939697": 142, "12699": 142, "1269943714141846": 142, "127": [139, 142, 147], "12700": 142, "1270041465759277": 142, "1270134449005127": 142, "127018690109253": 142, "1270310878753662": 142, "1270768642425537": 142, "1270782947540283": 142, "1270790100097656": 142, "1270842552185059": 142, "127084732055664": 142, "1270999908447266": 142, "1271": 147, "1271483898162842": 142, "1271567344665527": 142, "1271629333496094": 142, "127164363861084": 142, "127167122751231": [147, 149], "1271679401397705": 142, "1271858215332031": 142, "12723": 142, "1272330284118652": 142, "12724": 142, "127251148223877": 142, "12727": 142, "1272835731506348": 142, "1272876262664795": 142, "1272962093353271": 142, "1273095607757568": 142, "12731": 142, "1273179054260254": 142, "12735": 142, "127355098724365": 142, "127403974533081": 142, "1274185180664062": 142, "12743": 142, "1274373531341553": 142, "1274688243865967": 142, "1274693012237549": 142, "1274795532226562": 142, "127485990524292": 142, "1275": 142, "1275153160095215": 142, "12752": 142, "127558946609497": 142, "1275615692138672": 142, "1275715827941895": 142, "1275718212127686": 142, "127575159072876": 142, "1275885105133057": 142, "1275887489318848": 142, "12759": 142, "1275973320007324": 142, "127622127532959": 142, "1276779174804688": 142, "12769": 142, "1277": [147, 149], "12772": 142, "12773": 142, "127742052078247": 142, "12777": 142, "1277780532836914": 142, "12778": 142, "12778639793396": 142, "12779": 142, "1278": 142, "12780": 142, "12781": 142, "12783": 142, "1278774738311768": 142, "1278986930847168": 142, "1279": 142, "1279098987579346": 142, "1279194355010986": 142, "1279354095458984": 142, "1279468536376953": 142, "1279537677764893": 142, "1279585361480713": 142, "1279709339141846": 142, "127976655960083": 142, "1279771327972412": 142, "12798": 142, "1279804706573486": 142, "128": [32, 36, 38, 51, 52, 97, 98, 100, 101, 103, 132, 134, 147, 157], "1280": [147, 149], "1280004978179932": 142, "1280155181884766": 142, "12802": 142, "12806": 142, "1280958652496338": 142, "1280968189239502": 142, "1281": 142, "12811279296875": 142, "1281321048736572": 142, "128145456314087": 142, "128159761428833": 142, "128164529800415": 142, "1281969547271729": 142, "1282": 142, "1282200813293457": 142, "1282203197479248": 142, "1282241344451904": 142, "12826": 142, "1282622814178467": 142, "1282775402069092": 142, "1282808780670166": 142, "1283109188079834": 142, "1283516883850098": 142, "1283786296844482": 142, "128387451171875": 142, "1283905506134033": 142, "128408432006836": 142, "1284101009368896": 142, "1284103393554688": 142, "128412246704102": 142, "128413438796997": 142, "1284215450286865": 142, "1284284591674805": 142, "128429412841797": 142, "12843": 142, "1284654140472412": 142, "128469705581665": 142, "1285624504089355": 142, "12857": 142, "1285787969827652": 142, "1285853385925293": 142, "128599": 156, "1286": 154, "128610610961914": 142, "128612518310547": 142, "1286141872406006": 142, "1286156177520752": 142, "128636121749878": 142, "1286396980285645": 142, "1286442279815674": 142, "1286673545837402": 142, "1286957263946533": 142, "1287": [142, 154], "1287147998809814": 142, "128720760345459": 142, "128727912902832": 142, "128755807876587": 142, "1287801265716553": 142, "128781795501709": 142, "128782033920288": 142, "12880277633667": 142, "12884": 142, "1288580894470215": 142, "1288707256317139": 142, "12892": 142, "1289212703704834": 142, "1289362907409668": 142, "128983974456787": 142, "129": [132, 142, 147, 157], "1290061473846436": 142, "129012107849121": 142, "1290276050567627": 142, "12903": 142, "12906": 142, "12908": 142, "1290810108184814": 142, "129094123840332": 142, "1290e": 147, "1291": [147, 149], "12910": 142, "129133701324463": 142, "129138708114624": 142, "1291627883911133": 142, "1291821002960205": 142, "1291851997375488": 142, "1292109489440918": 142, "1292176246643066": 142, "12923": 142, "1292839050292969": 142, "1292994022369385": 142, "129310131072998": 142, "1293439865112305": 142, "129349946975708": 142, "1293580532073975": 142, "1293776035308838": 142, "1294": 142, "1294312477111816": 142, "1294398307800293": 142, "129462718963623": 142, "1294713020324707": 142, "1294825077056885": 142, "1294903755187988": 142, "1294951438903809": 142, "1294e": 148, "12951": 142, "12952": 142, "1295430660247803": 142, "1295630931854248": 142, "129572868347168": 142, "1295783519744873": 142, "129578590393066": 142, "1295883655548096": 142, "1296074390411377": 142, "12961": 142, "12961572408676147": 142, "12962": 142, "129631519317627": 142, "1296637058258057": 142, "1296734809875488": 142, "1296906471252441": 142, "1297": 142, "1297049522399902": 142, "12972": 142, "1297218799591064": 142, "129732608795166": 142, "1297335624694824": 142, "1297454833984375": 142, "1297478675842285": 142, "1297616958618164": 142, "1297755241394043": 142, "129777431488037": 142, "1298": 142, "129821538925171": 142, "1298315525054932": 142, "1298530101776123": 142, "1298813819885254": 142, "129884719848633": 142, "1299": [142, 154], "12990": 142, "129943609237671": 142, "1299569606781006": 142, "12a7087bfd189a06ccbec9bc7add2bcd": 129, "12e": 147, "12it": 134, "12m": 134, "13": [66, 79, 94, 99, 129, 132, 134, 135, 138, 142, 144, 147, 148, 149, 151, 153, 154, 157, 158], "130": [133, 147], "130011796951294": 142, "1300339698791504": 142, "1300485134124756": 142, "130049467086792": 142, "1300714015960693": 142, "1300899982452393": 142, "1300992965698242": 142, "13010": 142, "1301155090332031": 142, "1301777362823486": 142, "1301980018615723": 142, "13020": 142, "1302111148834229": 142, "1302266120910645": 142, "1302447319030762": 142, "1302690505981445": 142, "1302909851074219": 142, "130290985107422": 142, "1303021907806396": 142, "1303093433380127": 142, "13036": 142, "1303606927394867": 142, "130373239517212": 142, "1303904056549072": 142, "1304": 142, "1304004192352295": 142, "1304054260253906": 142, "1304092407226562": 142, "13041": 142, "1304140090942383": 142, "130420446395874": 142, "1304585933685303": 142, "13047800e": [147, 149], "13047954440116882": 142, "1304996013641357": 142, "1305": [147, 149], "13051": 142, "13053": 142, "1305410861968994": 142, "1305625438690186": 142, "1306202411651611": 142, "1306264400482178": 142, "1306352615356445": 142, "130652666091919": 142, "13065767288208": 142, "1306583881378174": 142, "1306841373443604": 142, "1306862831115723": 142, "1307191848754883": 142, "1307215690612793": 142, "1307382583618164": 142, "1307454109191895": 142, "1307456493377686": 142, "1307802200317383": 142, "13079": 142, "13079261779785": 142, "1307940483093262": 142, "1307995319366455": 142, "1308045387268066": 142, "1308133602142334": 142, "1308143138885498": 142, "13082": 142, "1308515071868896": 142, "130854606628418": 142, "130854845046997": 142, "1308560371398926": 142, "1308629512786865": 142, "1308666616678238": 142, "13089": 142, "1309080123901367": 142, "130908727645874": 142, "13094": 142, "1309616565704346": 142, "1309654712677002": 142, "13097": 142, "130974531173706": 142, "1309864521026611": 142, "130m": 129, "131": [133, 142, 147], "1310029029846191": 142, "13105508685112": 142, "1311": 142, "131166934967041": 142, "1311769485473633": 142, "131192922592163": 142, "1311943531036377": 142, "1312198638916016": 142, "1312534809112549": 142, "1312637329101562": 142, "131272554397583": 142, "13133": 142, "131338119506836": 142, "1313471794128418": 142, "1313817501068115": 142, "13140": 142, "1314101219177246": 142, "1314187049865723": 142, "1314215660095215": 142, "1314246654510498": 142, "1314597129821777": 142, "13146": 142, "1314613819122314": 142, "1314656734466553": 142, "13147": 142, "13148818910121918": 142, "1314928531646729": 142, "1314949989318848": 142, "13152077794075012": 142, "1315357685089111": 142, "13155": 142, "13156": 142, "1315741539001465": 142, "13160": 142, "1316070556640625": 142, "1316304206848145": 142, "1316380500793457": 142, "13164": 142, "1316816806793213": 142, "131688117980957": 142, "1317055225372314": 142, "131710052490234": 142, "131732940673828": 142, "1317517757415771": 142, "1317574977874756": 142, "1317620277404785": 142, "1317811012268066": 142, "1317839622497559": 142, "1317853927612305": 142, "1317918300628662": 142, "1317994594573975": 142, "13180": 142, "13184161484241486": 142, "13184760510921478": 142, "131852626800537": 142, "1318860054016113": 142, "1319358348846436": 142, "1319401264190674": 142, "1319615840911865": 142, "1319913864135742": 142, "1319966316223145": 142, "132": [133, 142, 147], "1320130825042725": 142, "13202": 142, "1320233345031738": 142, "13203": 142, "1320347785949707": 142, "1320459842681885": 142, "13204756379127502": 142, "132049322128296": 142, "132091999053955": 142, "1320950984954834": 142, "1321": 142, "1321170330047607": 142, "132120132446289": 142, "1321370601654053": 142, "1321556568145752": 142, "1321742534637451": 142, "1321868896484375": 142, "1322083473205566": 142, "1322085857391357": 142, "1322131156921387": 142, "1322510242462158": 142, "1323082447052002": 142, "132380723953247": 142, "1323981285095215": 142, "1323983669281006": 142, "13240": 142, "132404327392578": 142, "1324045658111572": 142, "132422924041748": 142, "132429599761963": 142, "1324379444122314": 142, "1324577331542969": 142, "1324641704559326": 142, "1324708461761475": 142, "1324741840362549": 142, "132498025894165": 142, "1324989795684814": 142, "1325066089630127": 142, "132512092590332": 142, "1325185298919678": 142, "1325352191925049": 142, "132577657699585": 142, "1326": 142, "1326043605804443": 142, "13261604309082": 142, "1326630115509033": 142, "1326711177825928": 142, "13270": 142, "1327037811279297": 142, "1327223777770996": 142, "13275": 142, "132767677307129": 142, "1327931880950928": 142, "1328": 142, "1328082084655762": 142, "13286": 142, "1328988075256348": 142, "1329326629638672": 142, "1329944133758545": 142, "132995843887329": 142, "133": [133, 142, 147], "1330044269561768": 142, "13302410e": [147, 149], "1330592632293701": 142, "1330974102020264": 142, "1331": [142, 154], "13311": 142, "1331110000610352": 142, "13312": 142, "13313": 142, "133131980895996": 142, "13314": 142, "1331400871276855": 142, "1331405639648438": 142, "133162260055542": 142, "1331636905670166": 142, "1331639289855957": 142, "1331727504730225": 142, "133176565170288": 142, "1332": [142, 147, 149], "1332550048828125": 142, "1332948207855225": 142, "1333231925964355": 142, "1333317756652832": 142, "133345127105713": 142, "1333577632904053": 142, "13336": 142, "1334092617034912": 142, "1334104537963867": 142, "133417129516602": 142, "1334376335144043": 142, "1334469318389893": 142, "1334574222564697": 142, "1334588527679443": 142, "1334691047668457": 142, "1334753036499023": 142, "1334831714630127": 142, "1334896087646484": 142, "1335": 142, "13350": 142, "1335015296936035": 142, "1335136890411377": 142, "1335322856903076": 142, "1335384845733643": 142, "13356": 157, "1335632801055908": 142, "133584976196289": 142, "1336119174957275": 142, "13364": 142, "13365": 142, "1336548328399658": 142, "1337": 142, "1337156295776367": 142, "1337332725524902": 142, "13374": 142, "1337428092956543": 142, "133760690689087": 142, "1337854862213135": 142, "1338": 154, "1338050365447998": 142, "1338098049163818": 142, "1338305473327637": 142, "1338493824005127": 142, "1338765621185303": 142, "1338903903961182": 142, "133892297744751": 142, "1339": 142, "1339170932769775": 142, "133927822113037": 142, "133934018": 129, "133953162": 129, "1339592933654785": 142, "1339802742004395": 142, "1339831352233887": 142, "134": [132, 142, 147, 151, 157], "1340": 142, "1340305805206299": 142, "1340420246124268": 142, "1340718269348145": 142, "134077787399292": 142, "134080410003662": 142, "1341": 142, "1341123580932617": 142, "134148359298706": 142, "13416": 142, "1341817378997803": 142, "1342172622680664": 142, "1342189311981201": 142, "1342377662658691": 142, "13427": 142, "1342735290527344": 142, "1342737674713135": 142, "1342964172363281": 142, "134303331375122": 142, "1343119144439697": 142, "134312391281128": 142, "134335994720459": 142, "1343402862548828": 142, "1343584060668945": 142, "1343717575073242": 142, "1343798637390137": 142, "1343841552734375": 142, "1344108581542969": 142, "13444165885448456": 142, "1344571113586426": 142, "13446": 142, "13447": 142, "1344733238220215": 142, "13448": 142, "1344976425170898": 142, "1344e": 148, "1345": 142, "13450": 142, "1345090866088867": 142, "1345314979553223": 142, "1345590502023697": 142, "13456": 142, "1345851421356201": 142, "13459": 142, "134603500366211": 142, "1346063613891602": 142, "13463": 142, "13464": 142, "1346406936645508": 142, "1346471309661865": 142, "1346607208251953": 142, "1346776485443115": 142, "1346967220306396": 142, "1346991062164307": 142, "1347053050994873": 142, "1347181797027588": 142, "13472": 142, "134735107421875": 142, "1347639560699463": 142, "1347672939300537": 142, "13478684425354": 142, "1347951889038086": 142, "1347992420196533": 142, "1348109245300293": 142, "1348271369934082": 142, "1348352432250977": 142, "1348466873168945": 142, "1348731517791748": 142, "1348824501037598": 142, "1349": 142, "1349420547485352": 142, "13495": 142, "13496": 142, "1349670886993408": 142, "134m": 147, "135": [133, 147], "1350064277648926": 142, "1350178718566895": 142, "1350202560424805": 142, "1350207328796387": 142, "13503": 142, "135032653808594": 142, "1350610256195068": 142, "1350855827331543": 142, "1350927352905273": 142, "1351006031036377": 142, "135108232498169": 142, "1351125240325928": 142, "13512": 142, "1351289749145508": 142, "13513": 142, "13517165184021": 142, "1352": 142, "13520": 142, "135240077972412": 142, "1352555751800537": 142, "135265827178955": 142, "1352e": 147, "1353178024291992": 142, "13533353805542": 142, "1353492736816406": 142, "1354": [147, 149], "13540756702423096": 142, "1354196071624756": 142, "13542": 142, "13543430e": [147, 149], "1354365348815918": 142, "135453701019287": 142, "1354594230651855": 142, "1354928016662598": 142, "135495662689209": 142, "1354e": 148, "13555": 142, "1355817317962646": 142, "135589361190796": 142, "1356": 142, "13560": 142, "13560540e": [147, 149], "1356151103973389": 142, "1356441974639893": 142, "13568646": 151, "1356940269470215": 142, "1357": 142, "1357038021087646": 142, "13570547103881836": 142, "13572": 142, "13572359085083": 142, "13573": 142, "1357378959655762": 142, "135744571685791": 142, "1357498168945312": 142, "135751724243164": 142, "1357829570770264": 142, "1357862949371338": 142, "1357965469360352": 142, "1358": 154, "13583": 142, "1358318328857422": 142, "1358520984649658": 142, "135862112045288": 142, "1358728408813477": 142, "1358766555786133": 142, "1359": 142, "135910987854004": 142, "1359384059906006": 142, "1359827518463135": 142, "1359858512878418": 142, "1359951496124268": 142, "135m": 138, "136": [142, 147], "1360154151916504": 142, "1360256671905518": 142, "1360456943511963": 142, "1361": 142, "1361277103424072": 142, "1361281871795654": 142, "1361417770385742": 142, "13619": 142, "13620": 142, "1362378597259521": 142, "136259078979492": 142, "1362693309783936": 142, "1362929344177246": 142, "1363": 142, "13631272315979": 142, "1363379955291748": 142, "1363773345947266": 142, "1364": 142, "1364085674285889": 142, "1364192962646484": 142, "1364414691925049": 142, "1364517211914062": 142, "136479377746582": 142, "136484146118164": 142, "1364e": 147, "1365": 142, "1365067958831787": 142, "1365203857421875": 142, "136521816253662": 142, "1365303993225098": 142, "13654": 142, "1365668773651123": 142, "1365680694580078": 142, "13659344613552094": 142, "1365978717803955": 142, "136598825454712": 142, "1366": 154, "1366562843322754": 142, "13666": 142, "1366636753082275": 142, "136678695678711": 142, "1366791725158691": 142, "1366856098175049": 142, "136686325073242": 142, "136688470840454": 142, "1367053985595703": 142, "13673": 142, "13674": 142, "136753797531128": 142, "1367731094360352": 142, "1368": 142, "13682": 142, "1368243396282196": 142, "13683": 142, "1368434429168701": 142, "1368470191955566": 142, "13685": 142, "13686": 142, "1368732452392578": 142, "13688": 142, "1368913650512695": 142, "1368954181671143": 142, "1369192600250244": 142, "1369202136993408": 142, "1369402408599854": 142, "1369633674621582": 142, "1369678974151611": 142, "1369681358337402": 142, "136972188949585": 142, "136g": 129, "137": 147, "1370": 147, "1370055675506592": 142, "1370606422424316": 142, "137069702148438": 142, "1371": 142, "13711": 142, "1371715068817139": 142, "1372": [147, 149], "137256145477295": 142, "1372568607330322": 142, "1372640132904053": 142, "1372675895690918": 142, "137286901473999": 142, "1373": 142, "1373047828674316": 142, "137310266494751": 142, "1373157501220703": 142, "1373224258422852": 142, "137331247329712": 142, "1373605728149414": 142, "13736891746521": 142, "1374": 142, "13740": 142, "1374304294586182": 142, "1374874114990234": 142, "1374928951263428": 142, "1374e": 147, "1375269889831543": 142, "137538194656372": 142, "137618064880371": 142, "1376290321350098": 142, "137638807296753": 142, "1376523971557617": 142, "137664794921875": 142, "1376759808": 158, "1376841068267822": 142, "1377127170562744": 142, "137732744216919": 142, "1377367973327637": 142, "1377394199371338": 142, "1377463340759277": 142, "1377496719360352": 142, "137801170349121": 142, "137848138809204": 142, "1378793716430664": 142, "1378979682922363": 142, "1379": 142, "137913465499878": 142, "13792": 142, "1379318237304688": 142, "137969732284546": 142, "1379950046539307": 142, "138": [132, 147, 157], "1380": 142, "13801383972168": 142, "13801908493042": 142, "1380319595336914": 142, "1380364894866943": 142, "1380529403686523": 142, "1380534172058105": 142, "1380648612976074": 142, "1380808353424072": 142, "1381068229675293": 142, "138113021850586": 142, "1381890773773193": 142, "1382019519805908": 142, "1382148265838623": 142, "1382465362548828": 142, "1382782459259033": 142, "1383023262023926": 142, "1383113861083984": 142, "1383209228515625": 142, "1383743286132812": 142, "1383843421936035": 142, "1383888721466064": 142, "138391971588135": 142, "1384": 147, "1384360790252686": 142, "1384379863739014": 142, "138481616973877": 142, "138493299484253": 142, "1385104656219482": 142, "13852": 142, "13853": 142, "1385600566864014": 142, "138565063476562": 142, "1385893821716309": 142, "1386": 154, "1386334896087646": 142, "1386585235595703": 142, "1386692523956299": 142, "1386735439300537": 142, "13870": 142, "13871": 142, "13872": 142, "1387221813201904": 142, "1387379169464111": 142, "13876": 142, "1387686729431152": 142, "13881897926330566": 142, "1388249397277832": 142, "1388428211212158": 142, "1388473510742188": 142, "13886024057865143": 142, "13887594640254974": 142, "1388940811157227": 142, "1388962268829346": 142, "1389267444610596": 142, "1389307975769043": 142, "1389884948730469": 142, "13899803161621": 142, "139": [133, 142, 147, 151], "1390001773834229": 142, "139000654220581": 142, "1390478610992432": 142, "1390602588653564": 142, "139068603515625": 142, "1391019821166992": 142, "1391072273254395": 142, "1391073316335678": 142, "13911": 142, "139118194580078": 142, "139122724533081": 142, "139155387878418": 142, "13918": 142, "1391913890838623": 142, "1391918659210205": 142, "1392": 142, "139206647872925": 142, "1392288208007812": 142, "13923": 142, "1392407417297363": 142, "139277458190918": 142, "1393": 142, "1393048763275146": 142, "1393299102783203": 142, "1393353939056396": 142, "1393463611602783": 142, "1393587589263916": 142, "139388084411621": 142, "1394": [147, 149], "139404058456421": 142, "1394383907318115": 142, "1394386291503906": 142, "1394462585449219": 142, "13946533203125": 142, "1394727230072021": 142, "139474868774414": 142, "1394846439361572": 142, "13949": 142, "1395": 142, "139575481414795": 142, "13958": 134, "13962": 142, "13963": 142, "139646053314209": 142, "1396510601043701": 142, "13967": 142, "1397": 142, "1397221088409424": 142, "1397318840026855": 142, "1397669315338135": 142, "1398": 154, "13980914652347565": 142, "139819145202637": 142, "1398594379425049": 142, "139868974685669": 142, "1398918628692627": 142, "1399": 142, "13992": 142, "13993": 142, "13994": 142, "1399598121643066": 142, "1399948596954346": 142, "13dc06c6510346d8a7f614d5b26c8ffa": 130, "13e": 147, "13it": [134, 147], "13m": 134, "14": [132, 134, 135, 138, 142, 144, 147, 148, 149, 153, 154, 157], "140": [133, 134, 142, 147], "1400": [142, 154], "140021562576294": 142, "1400256156921387": 142, "1400270462036133": 142, "140031099319458": 142, "140033483505249": 142, "140043020248413": 142, "1400506496429443": 142, "1400518417358398": 142, "140059232711792": 142, "1400692462921143": 142, "1400830745697021": 142, "1401": 142, "1401140689849854": 142, "1401472091674805": 142, "14017": 142, "14018": 142, "1402146816253662": 142, "1402175426483154": 142, "1402204036712646": 142, "1402349472045898": 142, "1402475833892822": 142, "14025": 142, "14029860496521": 142, "140319585800171": 142, "1403284072875977": 142, "140338659286499": 142, "1403629779815674": 142, "1404": 142, "140427589416504": 142, "1404287815093994": 142, "14047": 142, "140475034713745": 142, "1405": 154, "1405084133148193": 142, "1405305862426758": 142, "140568494796753": 142, "140570878982544": 142, "1405723094940186": 142, "1405768394470215": 142, "1405787467956543": 142, "1406314373016357": 142, "1406364440917969": 142, "1406390517950058": 142, "1406517028808594": 142, "140660047531128": 142, "1407": 142, "1407182216644287": 142, "1407315731048584": 142, "14073944091797": 142, "1407408714294434": 142, "1407444477081299": 142, "1407508850097656": 142, "1407558917999268": 142, "1407849788665771": 142, "1408004760742188": 142, "1408090591430664": 142, "1408178806304932": 142, "1408264636993408": 142, "1408507823944092": 142, "1408522129058838": 142, "14086": 142, "1409": [142, 147, 149], "14090": 142, "1409063339233398": 142, "14091": 142, "14092": 142, "14093081": 151, "1409351825714111": 142, "1409540176391602": 142, "1409552097320557": 142, "14097785949707": 142, "1409885883331299": 142, "1409966945648193": 142, "141": [133, 138, 147], "1410841941833496": 142, "1410930156707764": 142, "1411": 142, "1411089897155762": 142, "1411097049713135": 142, "1411128044128418": 142, "1411211490631104": 142, "1411352157592773": 142, "14117431640625": 142, "1412": 142, "1412124633789062": 142, "1412155628204346": 142, "1412358283996582": 142, "1412556171417236": 142, "1412663459777832": 142, "141296625137329": 142, "1413": 142, "1413030624389648": 142, "1413195133209229": 142, "1414117813110352": 142, "1414399147033691": 142, "1414711475372314": 142, "1414737701416": 142, "1414744853973389": 142, "1414921283721924": 142, "1415": 142, "14151930809021": 142, "141550064086914": 142, "1415588855743408": 142, "1415741443634033": 142, "1415801048278809": 142, "1415941715240479": 142, "1415998935699463": 142, "1416": 154, "1416146755218506": 142, "141624927520752": 142, "1416616439819336": 142, "1416676044464111": 142, "1416747570037842": 142, "14170241355896": 142, "14172": 142, "1417388916015625": 142, "1417427062988281": 142, "1417651176452637": 142, "1417663097381592": 142, "1417710781097412": 142, "1417787075042725": 142, "1417922973632812": 142, "141796588897705": 142, "1417975425720215": 142, "1418": 142, "1418442726135254": 142, "141855001449585": 142, "1419200897216797": 142, "14194294810295105": 142, "1419529914855957": 142, "1419708728790283": 142, "142": [132, 142, 147, 157], "1420397758483887": 142, "14205": 142, "14206": 142, "142099142074585": 142, "1421515941619873": 142, "1421599388122559": 142, "1421794891357422": 142, "142186164855957": 142, "1421942710876465": 142, "142199993133545": 142, "142211675643921": 142, "1422150135040283": 142, "1422233581542969": 142, "1422314643859863": 142, "142237663269043": 142, "1422722339630127": 142, "1422991752624512": 142, "1423332691192627": 142, "1423816680908203": 142, "1423840522766113": 142, "1423912048339844": 142, "1424": 142, "14241": 142, "14242": 142, "142425537109375": 142, "142435073852539": 142, "14244": 142, "1424427032470703": 142, "1424994468688965": 142, "1425": 142, "1425013542175293": 142, "1425042152404785": 142, "1425533294677734": 142, "1425673961639404": 142, "1425747871398926": 142, "142574787139893": 153, "142587661743164": 142, "1426019668579102": 142, "1426112651824951": 142, "1426167488098145": 142, "1426277160644531": 142, "14266": 142, "1426715850830078": 142, "14267897605896": 142, "1426911354064941": 142, "1426918506622314": 142, "1427390575408936": 142, "14276888966560364": 142, "1427693367004395": 142, "1427805423736572": 142, "1427819728851318": 142, "1428": 142, "14280": 142, "1428050994873047": 142, "142815351486206": 142, "14285": 142, "142869234085083": 142, "14288": 142, "142956256866455": 142, "1429698467254639": 142, "1429948806762695": 142, "143": 147, "1430561542510986": 142, "1431": 142, "14311031997203827": 142, "1431221961975098": 142, "1431398391723633": 142, "1431427001953125": 142, "14314866065979": 142, "1431818008422852": 142, "1431946754455566": 142, "1432561874389648": 142, "1432883739471436": 142, "143327236175537": 142, "1433327198028564": 142, "1433444023132324": 142, "14336": 142, "14338": 142, "143387794494629": 142, "1433897018432617": 142, "1434": 142, "1434006690979004": 142, "143437385559082": 142, "1434476375579834": 142, "1434540748596191": 142, "1434791088104248": 142, "143489122390747": 142, "1435": 142, "1435151100158691": 142, "1435394287109375": 142, "1435582637786865": 142, "1435604095458984": 142, "1436076164245605": 142, "1436271667480469": 142, "1436617374420166": 142, "143705129623413": 142, "143709421157837": 142, "1437201499938965": 142, "1437451839447021": 142, "1437582969665527": 142, "143775939941406": 142, "1437840461730957": 142, "1438": 142, "143810510635376": 142, "1438109874725342": 142, "143812894821167": 142, "14382553100586": 142, "1438977718353271": 142, "1439166069030762": 142, "143927812576294": 142, "1439638137817383": 142, "1439669132232666": 142, "1439800262451172": 142, "144": 147, "1440441608428955": 142, "14406156539917": 142, "1440906524658203": 142, "1441166400909424": 142, "144118070602417": 142, "1441326141357422": 142, "1441500186920166": 142, "14422": 142, "14423": 142, "1442394256591797": 142, "1442792415618896": 142, "1442818641662598": 142, "144300937652588": 142, "1443095207214355": 142, "1443285942077637": 142, "14433": 142, "14434": 142, "14435": 142, "144371747970581": 142, "1444": [142, 154], "144404411315918": 142, "14442": 142, "14444": 142, "14446": 142, "1444666385650635": 142, "144484043121338": 142, "1444923877716064": 142, "144493818283081": 142, "1445019245147705": 142, "1445074081420898": 142, "1445116996765137": 142, "1445286273956299": 142, "144568920135498": 142, "1445820331573486": 142, "144636631011963": 142, "1446585655212402": 142, "144667148590088": 142, "1446723937988281": 142, "144686222076416": 142, "1446893215179443": 142, "1447222232818604": 142, "1447386741638184": 142, "14474": 142, "1447436809539795": 142, "1448": 156, "1448583602905273": 142, "1448636054992676": 142, "1449110507965088": 142, "1449180543422699": 142, "1449594497680664": 142, "1449613571166992": 142, "1449658870697021": 142, "145": [129, 147, 157], "14500": 142, "1451": 142, "1451241970062256": 142, "1451396942138672": 142, "145193099975586": 142, "1451e": 147, "1452128887176514": 142, "1452186107635498": 142, "1452295780181885": 142, "145233392715454": 142, "145248413085938": 142, "1452500820159912": 142, "1452736854553223": 142, "14529037475586": 142, "145294427871704": 142, "1453044414520264": 142, "1453049182891846": 142, "1453123092651367": 142, "1453402042388916": 142, "1453711986541748": 142, "1454381942749023": 142, "14544677734375": 142, "1454777717590332": 142, "1455004215240479": 142, "1455092430114746": 142, "1455190181732178": 142, "1455280780792236": 142, "1455333232879639": 142, "14554762840271": 142, "1455566883087158": 142, "14557": 142, "1455717086791992": 142, "1455860137939453": 142, "1456305980682373": 142, "1456308364868164": 142, "1456546783447266": 142, "1456687450408936": 142, "145673751831055": 142, "14569668608": 158, "1457016468048096": 142, "1457195281982422": 142, "1457693576812744": 142, "1457805633544922": 142, "1458": 142, "145813226699829": 142, "1458380222320557": 142, "14587": 142, "14588": 142, "1459": 142, "1459100246429443": 142, "1459274291992188": 142, "1459341049194336": 142, "1459386348724365": 142, "145942211151123": 142, "1459534168243408": 142, "145980834960938": 142, "146": [132, 142, 147, 157], "1460": 142, "1460096836090088": 142, "1460216045379639": 142, "1460278034210205": 142, "14607667922973633": 142, "1460888385772705": 142, "1460933685302734": 142, "146102905273438": 142, "146134614944458": 142, "1461601257324219": 142, "14617790281772614": 142, "1461849212646484": 142, "1462": 142, "1462252140045166": 142, "1462254524230957": 142, "14623": 142, "14624": 142, "1462655067443848": 142, "1462e": 147, "146371841430664": 142, "1463873386383057": 142, "1464": [147, 149], "1464064121246338": 142, "1464362144470215": 142, "146442174911499": 142, "1464581489562988": 142, "146465301513672": 142, "146470546722412": 142, "1464781761169434": 142, "1464805603027344": 142, "1464872360229492": 142, "14652": 142, "14652419090271": 142, "1465389728546143": 142, "1465668678283691": 142, "1465730667114258": 142, "1465892791748047": 142, "14659": 142, "1466050148010254": 142, "1466093063354492": 142, "1466302871704102": 142, "1466460227966309": 142, "146651268005371": 142, "1466753482818604": 142, "146683692932129": 142, "1467094421386719": 142, "1467185020446777": 142, "1467387676239014": 142, "146744728088379": 142, "1467866897583008": 142, "1467885971069336": 142, "146799087524414": 142, "1468": 154, "1468777656555176": 142, "1469": 142, "1469078063964844": 142, "1469316482543945": 142, "146998405456543": 142, "147": [132, 134, 147, 157], "1470110416412354": 142, "14703889191150665": 142, "1470575332641602": 142, "1470746994018555": 142, "1470794677734375": 142, "1470887660980225": 142, "1471": 142, "1471421718597412": 142, "1471452713012695": 142, "1471633911132812": 142, "1472015380859375": 142, "147216796875": 142, "147237777709961": 142, "1472511291503906": 142, "14725229144096375": 142, "1472773551940918": 142, "1473": 142, "1473569869995117": 142, "1473605632781982": 142, "1473674774169922": 142, "1473827362060547": 142, "1474199295043945": 142, "14743320643901825": 142, "1474664211273193": 142, "1474684327840805": 142, "1474685668945312": 142, "1474707126617432": 142, "1475059986114502": 142, "147536039352417": 142, "1475379467010498": 142, "1475472450256348": 142, "1476": 142, "14763": 142, "1476681232452393": 142, "1476695537567139": 142, "1476726531982422": 142, "1476738452911377": 142, "14769": 142, "1476974487304688": 142, "1477": 154, "14772": 142, "1477258205413818": 142, "1477367877960205": 142, "1477382183074951": 142, "1477482318878174": 142, "1477608680725098": 142, "147768259048462": 142, "1477746963500977": 142, "1477980613708496": 142, "14780": 142, "1478285789489746": 142, "147890090942383": 142, "1479": [147, 149], "14790": 142, "147902488708496": 142, "14791": 142, "14791680": 147, "147928476333618": 142, "1479361057281494": 142, "14796": 142, "1479616165161133": 142, "1479668617248535": 142, "147m": 131, "148": 147, "148016929626465": 142, "1480348110198975": 142, "148038864135742": 142, "148071750998497": 142, "148111343383789": 142, "1481237411499023": 142, "1481499671936035": 142, "14815": 142, "1481881141662598": 142, "1482": 142, "14821705222129822": 142, "1483": 142, "1483266353607178": 142, "1483311653137207": 142, "148338794708252": 142, "1483454704284668": 142, "1483569145202637": 142, "1483802795410156": 142, "1483891010284424": 142, "1483995914459229": 142, "148411512374878": 142, "1484169960021973": 142, "1484215259552002": 142, "1484766006469727": 142, "1484806537628174": 142, "148498773574829": 142, "1485": 154, "1485130786895752": 142, "1485364437103271": 142, "1485395431518555": 142, "1485540866851807": 142, "1485810279846191": 142, "1486": 142, "1486232280731201": 142, "1486406326293945": 142, "1486554145812988": 142, "14866828918457": 142, "1486821174621582": 142, "1487": 142, "1487276554107666": 142, "1487386226654053": 142, "1487548351287842": 142, "148766040802002": 142, "1487884521484375": 142, "1488213539123535": 142, "1488728523254395": 142, "1488909721374512": 142, "148892879486084": 142, "1489169597625732": 142, "14891907572746277": 142, "14896821975708": 142, "1489903926849365": 142, "149": [142, 147], "1490": 142, "1490051746368408": 142, "1490111351013184": 142, "149043083190918": 142, "1490435600280762": 142, "1491191387176514": 142, "1491291522979736": 142, "1491708755493164": 142, "14917755126953": 142, "1492335796356201": 142, "14928": 142, "1493144035339355": 142, "1493346691131592": 142, "149355411529541": 142, "149390697479248": 142, "149429321289062": 142, "149436950683594": 142, "1494431495666504": 142, "1494481563568115": 142, "14945650100708": 142, "149457931518555": 142, "1494996547698975": 142, "1495156288146973": 142, "1495182514190674": 142, "149533271789551": 142, "14955711364746": 142, "1495826244354248": 142, "1495881080627441": 142, "1495985984802246": 142, "149599552154541": 142, "149604320526123": 142, "1496121883392334": 142, "149627685546875": 142, "1496312618255615": 142, "1496655941009521": 142, "1496837139129639": 142, "14969801902771": 142, "1496e": 148, "1497018337249756": 142, "1497046947479248": 142, "1497118473052979": 142, "1497149467468262": 142, "1497271060943604": 142, "1497304439544678": 142, "1497323513031006": 142, "1497325897216797": 142, "149752140045166": 142, "1498": 142, "14983": 142, "1498427391052246": 142, "1499": 154, "1499018669128418": 142, "1499240398406982": 142, "1499285697937012": 142, "1499416828155518": 142, "1499526500701904": 142, "1499716192483902": 142, "149980068206787": 142, "14e": 147, "14it": [134, 147], "14m": 134, "14mb": 134, "15": [132, 134, 142, 144, 147, 148, 149, 151, 153, 154, 157, 158], "150": [19, 25, 128, 132, 142, 147, 157], "150038719177246": 142, "150052785873413": 142, "1500818729400635": 142, "1500930786132812": 142, "1501": 142, "1501047611236572": 142, "150117874145508": 142, "150150299072266": 142, "1501896381378174": 142, "1502": 142, "150200366973877": 142, "150235891342163": 142, "1502366065979004": 142, "1502635478973389": 142, "15028944611549377": 142, "15030574798584": 142, "1503095626831055": 142, "1503193378448486": 142, "1503312587738037": 142, "1503455638885498": 142, "1503937244415283": 142, "1503973007202148": 142, "1504111289978027": 142, "1504247188568115": 142, "150455474853516": 142, "1504967212677002": 142, "1505296230316162": 142, "1505787372589111": 142, "1506164073944092": 142, "15065": 142, "1506788730621338": 142, "150686264038086": 142, "15071": 142, "1507196426391602": 142, "1507244110107422": 142, "150726556777954": 142, "1507303714752197": 142, "15074": 142, "1508214473724365": 142, "1508293151855469": 142, "1508328914642334": 142, "1508369445800781": 142, "150855541229248": 142, "1508798599243164": 142, "1509": [133, 142], "15093210339546204": 142, "150941848754883": 142, "1509711742401123": 142, "15097999572754": 142, "1509995460510254": 142, "151": [142, 147], "1510": 133, "1510157585144043": 142, "151029586791992": 142, "151066303253174": 142, "15108516812324524": 142, "1511": 133, "1511197090148926": 142, "1511216163635254": 142, "1511247158050537": 142, "1511461734771729": 142, "1511776447296143": 142, "151179313659668": 142, "1511931419372559": 142, "1511969566345215": 142, "15120": 142, "1512043476104736": 142, "1512091159820557": 142, "15121": 142, "1513": 142, "1513025760650635": 142, "1513071060180664": 142, "1513237953186035": 142, "151339054107666": 142, "1513540744781494": 142, "1513638496398926": 142, "1513686180114746": 142, "1513760089874268": 142, "1514062881469727": 142, "1514205932617188": 142, "151421308517456": 142, "1514461040496826": 142, "1514813899993896": 142, "1515": [133, 142], "1515018939971924": 142, "151524305343628": 142, "1515460014343262": 142, "1515791416168213": 142, "1516": 133, "151613712310791": 142, "1516823768615723": 142, "1517": [133, 154], "1517057418823242": 142, "1517183780670166": 142, "151731252670288": 142, "15174275636672974": 142, "151747465133667": 142, "1517665386199951": 142, "151789665222168": 142, "1517980098724365": 142, "1518": 133, "1518142223358154": 142, "1518232822418213": 142, "1518726348876953": 142, "1519": [133, 142], "151909828186035": 142, "1519138813018799": 142, "1519174575805664": 142, "1519334316253662": 142, "1519594192504883": 142, "1519749164581299": 142, "151g": 129, "152": 147, "1520": 133, "152008295059204": 142, "152012586593628": 142, "1520743370056152": 142, "15208": 142, "1520850658416748": 142, "1520867347717285": 142, "1521": 142, "1521131992340088": 142, "1521246433258057": 142, "1521656513214111": 142, "1521797180175781": 142, "15218251943588257": 142, "1522": [133, 142], "1522095203399658": 142, "15221": 142, "1522138118743896": 142, "15226": 142, "1522762775421143": 142, "1523": [133, 142], "1523077487945557": 142, "15236": 142, "1523845195770264": 142, "1523933410644531": 142, "15252": 142, "152536153793335": 142, "1525511741638184": 142, "1525752544403076": 142, "152583122253418": 142, "152594804763794": 142, "1526": 142, "152634620666504": 142, "1526501178741455": 142, "152662754058838": 142, "1526641845703125": 142, "152677297592163": 142, "1526846885681152": 142, "1527066230773926": 142, "1527149677276611": 142, "1527197360992432": 142, "15272": 142, "15273666381836": 142, "1527576446533203": 142, "1527807712554932": 142, "1527903079986572": 142, "1528003215789795": 142, "152803897857666": 142, "1528151035308838": 142, "1528730392456055": 142, "1528754234313965": 142, "1528820991516113": 142, "1528849601745605": 142, "1528990268707275": 142, "152904748916626": 142, "1529858112335205": 142, "153": [132, 147], "15308": 142, "153090238571167": 142, "1531548500061035": 142, "1531591415405273": 142, "1531970500946045": 142, "1531987190246582": 142, "15320": 142, "15322": 142, "1532340049743652": 142, "1532859802246094": 142, "1532928943634033": 142, "1533069610595703": 142, "1533441543579102": 142, "1533491611480713": 142, "153367042541504": 142, "15339": 142, "1534": 142, "15341997146606445": 142, "153425693511963": 142, "1534357070922852": 142, "1534669399261475": 142, "153472900390625": 142, "1534738540649414": 142, "1535124778747559": 142, "1535353660583496": 142, "15358": 142, "1535837650299072": 142, "1536": 142, "153601169586182": 142, "1536082923412323": 142, "1536471843719482": 142, "1536502838134766": 142, "1536610126495361": 142, "153674602508545": 142, "1536803245544434": 142, "1536948680877686": 142, "1537158489227295": 142, "15379524230957": 142, "1537995338439941": 142, "1538": [147, 149], "1538207530975342": 142, "153855562210083": 142, "1538705825805664": 142, "1539359092712402": 142, "1539559364318848": 142, "153980016708374": 142, "1539862155914307": 142, "153m": [134, 139, 144, 158], "154": [132, 134, 147, 157], "154003381729126": 142, "1540565490722656": 142, "154069185256958": 142, "154094696044922": 142, "154099702835083": 142, "1541049480438232": 142, "154122352600098": 142, "15415": 142, "1541786193847656": 142, "1541893482208252": 142, "1541931629180908": 142, "1541974544525146": 142, "1542255878448486": 142, "154238224029541": 142, "1542582511901855": 142, "1543": 142, "15431": 142, "1544325351715088": 142, "1544361114501953": 142, "15447425842285": 142, "15447998046875": 142, "1545": 142, "154504776000977": 142, "1545076370239258": 142, "1545121669769287": 142, "1545276641845703": 142, "154540777206421": 142, "1545555591583252": 142, "1545813083648682": 142, "1545846462249756": 142, "1546": [147, 149], "1546096801757812": 142, "1546142101287842": 142, "1546332836151123": 142, "1546635627746582": 142, "1546673774719238": 142, "1546978950500488": 142, "1547": 142, "154714584350586": 142, "1547181606292725": 142, "154728889465332": 142, "1547534465789795": 142, "1548001766204834": 142, "1548051834106445": 142, "1548452377319336": 142, "1548473834991455": 142, "1549251079559326": 142, "1549382209777832": 142, "155": 147, "1550": 142, "1550343036651611": 142, "1550374031066895": 142, "1550891399383545": 142, "1550912857055664": 142, "1551": [142, 154], "1551127433776855": 142, "15514": 142, "1551682949066162": 142, "1552": 142, "1552042961120605": 142, "155205249786377": 142, "1552271842956543": 142, "155271053314209": 142, "1552724838256836": 142, "1552858352661133": 142, "1552948951721191": 142, "1553022861480713": 142, "155315637588501": 142, "1553173065185547": 142, "1553547382354736": 142, "1553564071655273": 142, "1553709506988525": 142, "15537691116333": 142, "1554": [142, 154], "155432939529419": 142, "1554346084594727": 142, "1554605960845947": 142, "1555101871490479": 142, "1555194854736328": 142, "15556": 142, "15557": 142, "15567": 142, "1556830406188965": 142, "15571": 142, "1557247638702393": 142, "1557271480560303": 142, "1557447910308838": 142, "155745267868042": 142, "1557466983795166": 142, "1557631492614746": 142, "1557879447937012": 142, "1558": 142, "15582275390625": 142, "155825138092041": 142, "1558756828308105": 142, "155883312225342": 142, "1558866500854492": 142, "1558992862701416": 142, "155937671661377": 142, "1559423804283142": 142, "1559510231018066": 142, "155958652496338": 142, "155958890914917": 142, "1559679508209229": 142, "156": 147, "1560823917388916": 142, "1560826301574707": 142, "156113862991333": 142, "15613": 142, "15614": 142, "1561434268951416": 142, "1561799049377441": 142, "1561903953552246": 142, "1561992168426514": 142, "15622": 142, "15624": 142, "1562442779541016": 142, "1562540531158447": 142, "1562550067901611": 142, "1563": 142, "1564": 142, "156423568725586": 142, "1564278602600098": 142, "1564701795578003": 142, "1564855575561523": 142, "15649": 142, "1564993858337402": 142, "15650": 142, "1565003395080566": 142, "15651": 142, "1565124988555908": 142, "15652": 142, "1565241813659668": 142, "1565477848052979": 142, "1565566062927246": 142, "15656": 142, "15657": 142, "1565742492675781": 142, "1565921306610107": 142, "156611442565918": 142, "15668": 142, "15669": 142, "1567": 154, "15670": 142, "1567325592041016": 142, "1567351818084717": 142, "1567473411560059": 142, "156771659851074": 142, "1567752361297607": 142, "1567847728729248": 142, "15679": 142, "1568076610565186": 142, "1568098068237305": 142, "15681": 142, "15683": 142, "15684": 142, "15685": 142, "1568670272827148": 142, "15687": 142, "1568748950958252": 142, "1568868160247803": 142, "1569": 154, "156907081604004": 142, "15695": 142, "1569664478302002": 142, "15698": 142, "1569819450378418": 142, "1569843292236328": 142, "157": 147, "1570": 142, "15700": 142, "1570312976837158": 142, "157043218612671": 142, "157079696655273": 142, "1570842266082764": 142, "1570987701416016": 142, "1571": 154, "157135248184204": 142, "1571409702301025": 142, "1571550369262695": 142, "1571605205535889": 142, "1571745872497559": 142, "1572": 142, "1572279930114746": 142, "15724": 142, "1572470664978027": 142, "1572651863098145": 142, "1572740077972412": 142, "1572911739349365": 142, "1573": 142, "157301425933838": 142, "1573097705841064": 142, "1573824882507324": 142, "1573834419250488": 142, "1574110984802246": 142, "157459020614624": 142, "1575": 134, "157510757446289": 142, "1575300693511963": 142, "1576602458953857": 142, "1576712131500244": 142, "1577136516571045": 142, "157747745513916": 142, "1577508449554443": 142, "157752275466919": 142, "15776": 142, "15777": 142, "15777587890625": 142, "1578": 142, "157815933227539": 142, "15781831741333": 142, "1578190326690674": 142, "1578257083892822": 142, "157844066619873": 142, "157881259918213": 142, "1578853130340576": 142, "1578900814056396": 142, "157893180847168": 142, "157899856567383": 142, "1579291820526123": 142, "1579322814941406": 142, "1579780578613281": 142, "158": [142, 147], "158003330230713": 142, "1580235958099365": 142, "158048391342163": 142, "15805": 142, "1580603122711182": 142, "1580610275268555": 142, "1580712795257568": 142, "158092498779297": 142, "1581368446350098": 142, "158149003982544": 142, "1581637859344482": 142, "15819": 142, "158205509185791": 142, "1582365036010742": 142, "1582555770874023": 142, "1582579612731934": 142, "158336877822876": 142, "1583406925201416": 142, "1583528518676758": 142, "1583631038665771": 142, "15837": 142, "1583943367004395": 142, "15842": 142, "1584351062774658": 142, "158435583114624": 142, "158442735671997": 142, "1584489345550537": 142, "158461093902588": 142, "15847516059875488": 142, "158478021621704": 142, "1584811210632324": 142, "1585": 142, "1585032939910889": 142, "1585474014282227": 142, "1585817337036133": 142, "1585907936096191": 142, "158604621887207": 142, "1586236953735352": 142, "15868": 142, "1586902141571045": 142, "1587207317352295": 142, "1587655544281006": 142, "1588237285614014": 142, "158827543258667": 142, "1588373184204102": 142, "1588385105133057": 142, "158853530883789": 142, "1589": 142, "1589381694793701": 142, "15895": 142, "15896": 142, "1589694023132324": 142, "159": 147, "1590726375579834": 142, "159095287322998": 142, "1591": 142, "159102439880371": 142, "1591029167175293": 142, "159106731414795": 142, "159116268157959": 142, "1591315269470215": 142, "1591529846191406": 142, "1591570377349854": 142, "1592": 142, "159212350845337": 142, "1592581272125244": 142, "1592605113983154": 142, "1592822074890137": 142, "1592950820922852": 142, "1593": 154, "159350872039795": 142, "1593761444091797": 142, "1594": 142, "1594133377075195": 142, "1594157218933105": 142, "15942174196243286": 142, "1594388484954834": 142, "1594746112823486": 142, "159500598907471": 142, "159508466720581": 142, "159510612487793": 142, "15953": 142, "15954": 142, "15958": 142, "159590482711792": 142, "1595923900604248": 142, "1595995426177979": 142, "1596014499664307": 142, "15963": 142, "15964": 142, "15965": 142, "1596577167510986": 142, "1596589088439941": 142, "1596601009368896": 142, "159677505493164": 142, "159679412841797": 142, "1597092151641846": 142, "15971565246582": 142, "15973": 142, "1597355604171753": 142, "15974": 142, "159745454788208": 142, "159759759902954": 142, "1597857475280762": 142, "1597859859466553": 142, "15979716181755066": 142, "15985": 142, "159869909286499": 142, "15987": 142, "1598727703094482": 142, "1598844528198242": 142, "1599514484405518": 142, "159989356994629": 142, "1599900722503662": 142, "1599924564361572": 142, "15e": 147, "15it": [134, 138, 147], "15m": 134, "16": [36, 38, 115, 129, 132, 134, 142, 144, 145, 147, 148, 149, 151, 153, 154, 157], "160": [142, 147], "160048007965088": 142, "1600697040557861": 142, "1600754261016846": 142, "1600992679595947": 142, "1601": 142, "1601285934448242": 142, "1601552963256836": 142, "16016817092895508": 142, "160187244415283": 142, "1602": 142, "1602201461791992": 142, "160238265991211": 142, "1602537631988525": 142, "16026": 142, "16029": 142, "1603004932403564": 142, "1603167057037354": 142, "16033": 142, "1603586673736572": 142, "16036": 142, "16037": 142, "1603784561157227": 142, "1603806018829346": 142, "1604089736938477": 142, "160435438156128": 142, "16044": 142, "1604416370391846": 142, "16045": 142, "1604514122009277": 142, "1604516506195068": 142, "16046990e": [147, 149], "1605026721954346": 142, "1605184078216553": 142, "1605231761932373": 142, "1605463027954102": 142, "160557746887207": 142, "160581111907959": 142, "1606": 142, "1606011390686035": 142, "16060703992843628": 142, "1606342792510986": 142, "1606757640838623": 142, "16068": 142, "160703182220459": 142, "1607239246368408": 142, "160728931427002": 142, "1607322692871094": 142, "1607344150543213": 142, "16074": 142, "1607975959777832": 142, "1607985496520996": 142, "1608": 142, "160804033279419": 142, "16081060469150543": 142, "16083": 142, "16085": 142, "1608622074127197": 142, "1608796119689941": 142, "1609": 142, "16090": 142, "1609134674072266": 142, "1609339714050293": 142, "160937786102295": 142, "16094": 142, "1609764099121094": 142, "1609892845153809": 142, "161": 147, "1610171794891357": 142, "16102": 142, "1610260009765625": 142, "1610498428344727": 142, "161097764968872": 142, "1611230373382568": 142, "1611418724060059": 142, "1611452102661133": 142, "1611759662628174": 142, "1611859798431396": 142, "161216735839844": 142, "1612341403961182": 142, "1613130569458008": 142, "1613295078277588": 142, "1613526344299316": 142, "1613647937774658": 142, "161400556564331": 142, "1614258289337158": 142, "1614513397216797": 142, "1614689826965332": 142, "1614699363708496": 142, "1614830493927002": 142, "1614930629730225": 142, "16156": 142, "1616063117980957": 142, "1616143435239792": 142, "1616973876953125": 142, "1616e": 147, "1617205142974854": 142, "1617233753204346": 142, "1617388725280762": 142, "1617424488067627": 142, "161754846572876": 142, "1617963314056396": 142, "1618": 142, "1618118286132812": 142, "1618359088897705": 142, "1618382930755615": 142, "161850929260254": 142, "161879301071167": 142, "1619102954864502": 142, "161916732788086": 142, "1619524955749512": 142, "1619529724121094": 142, "1619579792022705": 142, "162": 147, "1620": 142, "1621": 154, "1621003150939941": 142, "162111759185791": 142, "1621158123016357": 142, "1621181964874268": 142, "162154197692871": 142, "162163496017456": 142, "1621670722961426": 142, "1621732711791992": 142, "1621859073638916": 142, "16225": 142, "16226": 142, "1623": [147, 149], "1623172760009766": 142, "162334680557251": 142, "16234": 142, "162348508834839": 142, "16236": 142, "162367582321167": 142, "1623899936676025": 142, "162391185760498": 142, "1624": [147, 149], "1624133586883545": 142, "162435531616211": 142, "16245": 142, "16246": 142, "1624763011932373": 142, "1624794006347656": 142, "1624834537506104": 142, "1624932289123535": 142, "1624982357025146": 142, "162559986114502": 142, "16256378591060638": 142, "16258": 142, "16259": 142, "16260": 142, "16261": 142, "162617": 154, "162618637084961": 142, "16263": 142, "162632942199707": 142, "1626520156860352": 142, "16266": 142, "1626701354980469": 142, "1626763343811035": 142, "1626770496368408": 142, "1626777648925781": 142, "1627": 142, "162745475769043": 142, "1627869606018066": 142, "1627981662750244": 142, "1628": 142, "1628379821777344": 142, "1628687381744385": 142, "1628971099853516": 142, "16290": 142, "162933588027954": 142, "1629457473754883": 142, "1629657745361328": 142, "1629745960235596": 142, "1629793643951416": 142, "162f0660b2f1c9209c5b57f7b9e545a7": 131, "163": 147, "1630": 142, "163017749786377": 142, "1630301475524902": 142, "16304": 142, "16304349899292": 142, "16305": 142, "1630680561065674": 142, "1631321907043457": 142, "16315": 142, "16317": 142, "16317497193813324": 142, "16318": 142, "1631834506988525": 142, "1631860733032227": 142, "16319": 142, "1632051467895508": 142, "1632089614868164": 142, "16321": 142, "1632187366485596": 142, "1632261276245117": 142, "16324": 142, "1632702350616455": 142, "163320779800415": 142, "16334": 142, "16335": 142, "16336": 142, "1633679866790771": 142, "16337": 142, "163386583328247": 142, "1634": 142, "1634154319763184": 142, "1634521484375": 142, "1634576320648193": 142, "1634631156921387": 142, "1634724140167236": 142, "1634793281555176": 142, "1634905338287354": 142, "1634929180145264": 142, "1635041236877441": 142, "163536548614502": 142, "1635417938232422": 142, "163543939590454": 142, "16356": 142, "16358": 142, "163581132888794": 142, "1635918617248535": 142, "16363": 142, "1636409759521484": 142, "1636793613433838": 142, "1637": 142, "1637167930603027": 142, "1638": 142, "16380": 142, "1638102531433105": 142, "1639316082000732": 142, "16396": 142, "1639704704284668": 142, "1639797687530518": 142, "1639857292175293": 142, "1639878749847412": 142, "164": 147, "1640095710754395": 142, "1640205383300781": 142, "164032220840454": 142, "164102554321289": 142, "1641201972961426": 142, "16412880e": 134, "16412882e": 134, "164153814315796": 142, "1641578674316406": 142, "1641631126403809": 142, "1641871929168701": 142, "1642": 142, "16421": 142, "1642122268676758": 142, "1642351150512695": 142, "1642367839813232": 142, "1642584800720215": 142, "1643784046173096": 142, "1643791198730469": 142, "16439": 142, "1644306182861328": 142, "16445598006248474": 142, "16448": 142, "1644e": 147, "16454": 142, "164541244506836": 142, "1645712852478027": 142, "1645820140838623": 142, "1646127700805664": 142, "1646242141723633": 142, "1646380424499512": 142, "1646528244018555": 142, "1646764278411865": 142, "16470718383789": 142, "1647083759307861": 142, "1647310256958008": 142, "164778470993042": 142, "1647789478302002": 142, "1647956371307373": 142, "164797306060791": 142, "1648": 142, "16481": 142, "1648108959197998": 142, "1648192405700684": 142, "16482": 142, "1648552417755127": 142, "1648781299591064": 142, "16488": 142, "164896011352539": 142, "1649": 142, "16491": 142, "1649158000946045": 142, "1649169921875": 142, "16493": 142, "16495": 142, "1649589538574219": 142, "16497": 142, "1649870872497559": 142, "1649963855743408": 142, "165": [142, 147], "16501": 142, "1650259494781494": 142, "1650316715240479": 142, "165083885192871": 142, "1650898456573486": 142, "1650915145874023": 142, "165097713470459": 142, "16511": 142, "1651124954223633": 142, "16514": 142, "1651551723480225": 142, "1651668548584": 142, "1651794910430908": 142, "1652": 142, "16521": 142, "16522": 142, "16523": 142, "16525116562843323": 142, "1652534008026123": 142, "16526": 142, "165278434753418": 142, "16528": 142, "1652891635894775": 142, "1652894020080566": 142, "16529": 142, "165297508239746": 142, "1653013229370117": 142, "1653342247009277": 142, "1653382778167725": 142, "1653401851654053": 142, "1653592586517334": 142, "1653673648834229": 142, "16538050770759583": 142, "1654188632965088": 142, "1655004024505615": 142, "1655128002166748": 142, "1655359268188477": 142, "1655364036560059": 142, "1655561923980713": 142, "1655659675598145": 142, "165581464767456": 142, "1655857563018799": 142, "1656": 154, "1657235622406006": 142, "1657254695892334": 142, "1657553911209106": 142, "1657640933990479": 142, "165769100189209": 142, "165799856185913": 142, "1658308506011963": 142, "165832757949829": 142, "165865421295166": 142, "1658930778503418": 142, "1659278869628906": 142, "1659417152404785": 142, "165956974029541": 142, "1659588813781738": 142, "165978193283081": 142, "165984869003296": 142, "1659958362579346": 142, "165g": 129, "166": [142, 147], "16600": 142, "1660270690917969": 142, "166029453277588": 142, "1660566329956055": 142, "1660635471343994": 142, "16608": 142, "166081428527832": 142, "1660819053649902": 142, "16609": 142, "1661": 154, "16610": 142, "166154384613037": 142, "1661648750305176": 142, "1661860942840576": 142, "1661961078643799": 142, "1662": 142, "1662137508392334": 142, "1662302017211914": 142, "1662490367889404": 142, "1662538051605225": 142, "1662800312042236": 142, "1663134098052979": 142, "1663193702697754": 142, "1663885116577148": 142, "1664": 142, "166452407836914": 142, "1665096282958984": 142, "1665424": 151, "1666028499603271": 142, "1666169166564941": 142, "16666666666666669": 151, "16666666666666677": 142, "1667": 142, "1667273044586182": 142, "16673260927200317": 142, "1667332649230957": 142, "1667656898498535": 142, "1667914390563965": 142, "1668145656585693": 142, "16687": 142, "1669654846191406": 142, "1669728755950928": 142, "166977882385254": 142, "167": 147, "1670": 142, "1670551300048828": 142, "1670687198638916": 142, "1670892238616943": 142, "167133092880249": 142, "1671383380889893": 142, "16718": 142, "16719": 142, "1671974658966064": 142, "1672": 142, "1672236919403076": 142, "16723": 142, "1672320365905762": 142, "16724": 142, "167252540588379": 142, "1672556400299072": 142, "16727614402771": 142, "167292594909668": 142, "167386770248413": 142, "167398452758789": 142, "16740": 142, "167418956756592": 142, "167421579360962": 142, "1674270629882812": 142, "1674408912658691": 142, "1674535274505615": 142, "1675283908843994": 142, "16756": 142, "16757346304": 158, "1676056385040283": 142, "1676123142242432": 142, "16763": 142, "167639970779419": 142, "16765": 142, "1676702499389648": 142, "1676743030548096": 142, "167680025100708": 142, "16769": 142, "1676926612854004": 142, "16770": 142, "16771": 142, "167717456817627": 142, "167729139328003": 142, "1677470207214355": 142, "1678049564361572": 142, "167848825454712": 142, "16785": 142, "1678681373596191": 142, "1678755283355713": 142, "1678805351257324": 142, "16790": 142, "16792": 142, "167936086654663": 142, "1679916381835938": 142, "168": [134, 147], "1680152416229248": 142, "1680903434753418": 142, "1681067943572998": 142, "1681139469146729": 142, "168168306350708": 142, "1681780815124512": 142, "168181": 156, "168187141418457": 142, "1682": 142, "1682007312774658": 142, "1682147979736328": 142, "168236494064331": 142, "168245553970337": 142, "16829514503479": 142, "1683": 142, "1683025360107422": 142, "1683049201965332": 142, "1683173179626465": 142, "168339490890503": 142, "16839": 142, "1684": 142, "1684041023254395": 142, "168405294418335": 142, "1684153079986572": 142, "16842": 142, "1684215068817139": 142, "1684250831604004": 142, "1684257984161377": 142, "168428421020508": 142, "1684670448303223": 142, "168485641479492": 142, "1684925556182861": 142, "1684930324554443": 142, "16852": 142, "168590545654297": 142, "1685960292816162": 142, "1686010360717773": 142, "1686015129089355": 142, "16861": 142, "1686768531799316": 142, "168699026107788": 142, "1687324047088623": 142, "1687843799591064": 142, "1687883883714676": 142, "1688001155853271": 142, "1688437461853027": 142, "16886": 142, "16889": 142, "1688995361328125": 142, "1689398288726807": 142, "1689777374267578": 142, "168994426727295": 142, "169": 147, "1690": [142, 147, 149], "169013500213623": 142, "1690247058868408": 142, "1690690517425537": 142, "1690764427185059": 142, "16910140216350555": 142, "16911": 142, "1691124439239502": 142, "1691153049468994": 142, "1691255569458008": 142, "169133186340332": 142, "1691343784332275": 142, "1691393852233887": 142, "16916": 142, "1691796779632568": 142, "169187307357788": 142, "16919": 142, "1691e": 147, "1692140102386475": 142, "1692554950714111": 142, "16930": 142, "1693294048309326": 142, "1693460941314697": 142, "169396162033081": 142, "1694111824035645": 142, "1694247722625732": 142, "16945": 142, "169450044631958": 142, "169497013092041": 142, "1695194244384766": 142, "1695208549499512": 142, "1695215702056885": 142, "1695291996002197": 142, "1695377826690674": 142, "1695775985717773": 142, "1695811748504639": 142, "1696": 142, "16960": 142, "16961": 142, "1696147918701172": 142, "1696279048919678": 142, "169663667678833": 142, "169679880142212": 142, "169720649719238": 142, "1697266101837158": 142, "16977": 142, "1697742938995361": 142, "1697840690612793": 142, "1697847843170166": 142, "1698": 142, "1698052883148193": 142, "1699": 142, "169914722442627": 142, "1699178218841553": 142, "16992": 142, "169947862625122": 142, "1699669361114502": 142, "169975757598877": 142, "16e": 147, "16it": [134, 147], "16m": 134, "16mb": 134, "17": [132, 134, 142, 145, 147, 148, 149, 151, 153, 154, 157], "170": [133, 147], "1700": [142, 147], "1700081825256348": 142, "1700160503387451": 142, "1700380": 147, "1700966358184814": 142, "17013": 142, "1701405048370361": 142, "1702005863189697": 142, "170201301574707": 142, "1702142059803009": 142, "1702427864074707": 142, "17024895548820496": 142, "17030": 142, "1703102588653564": 142, "1703245639801025": 142, "17036771774292": 142, "1703739166259766": 142, "17037749290466309": 142, "1703839302062988": 142, "170419454574585": 142, "17042": 142, "1704440116882324": 142, "17045": 142, "1704764366149902": 142, "17048": 142, "1705031394958496": 142, "170532464981079": 142, "1705491542816162": 142, "1705601215362549": 142, "170574426651001": 142, "1705982685089111": 142, "1706": [144, 154], "17060": 142, "1706006526947021": 142, "1706228256225586": 142, "17062337696552277": 142, "1706271171569824": 142, "170638084411621": 142, "1706466674804688": 142, "170659065246582": 142, "1706661432981491": 142, "17071467638015747": 142, "1707243919372559": 142, "1707370281219482": 142, "1707878112792969": 142, "1707887649536133": 142, "1707899570465088": 142, "170790672302246": 142, "1708": 142, "1708340644836426": 142, "17092": 142, "17094": 142, "1709446907043457": 142, "17095": 142, "170961618423462": 142, "17096519470215": 142, "171": [142, 147], "171051263809204": 142, "1710541248321533": 142, "1710824966430664": 142, "171107530593872": 142, "17112": 142, "17118": 142, "1712071895599365": 142, "1712145805358887": 142, "17123": 142, "171233892440796": 142, "1712567806243896": 142, "1712610721588135": 142, "171273946762085": 142, "17129": 142, "1713080406188965": 142, "171372413635254": 142, "1713840961456299": 142, "17138539254665375": 142, "1714": 142, "1714234352111816": 142, "1714298725128174": 142, "1714434623718262": 142, "17146": 142, "17148": 142, "1714975833892822": 142, "1715035438537598": 142, "1715147495269775": 142, "1715550422668457": 142, "171593189239502": 142, "171598196029663": 142, "171638011932373": 142, "1716420650482178": 142, "1717": 147, "17173": 142, "1717393398284912": 142, "17174": 142, "1717867851257324": 142, "1717946529388428": 142, "1718": 142, "171800136566162": 142, "1718270778656006": 142, "1718308925628662": 142, "17185": 142, "1718506813049316": 142, "1718509197235107": 142, "17186": 142, "1718931198120117": 142, "17190": 142, "1719529628753662": 142, "1719603538513184": 142, "172": 147, "1720280647277832": 142, "1720452308654785": 142, "1720459461212158": 142, "1720623970031738": 142, "1720654964447021": 142, "17207": 142, "172072172164917": 142, "1720948219299316": 142, "172154188156128": 142, "172154426574707": 142, "17216": 142, "1721642017364502": 142, "1722": 142, "17220": 142, "1722524166107178": 142, "1722557544708252": 142, "17228": 142, "17230": 142, "172346115112305": 142, "1723897457122803": 142, "1723976135253906": 142, "1724023818969727": 142, "1724298000335693": 142, "17245414853096008": 142, "17247487604618073": 142, "1725": 142, "1725051403045654": 142, "172523021697998": 142, "17254": 142, "1725411415100098": 142, "1725475788116455": 142, "1725502014160156": 142, "1725730895996094": 142, "1725826263427734": 142, "172621250152588": 142, "1726322174072266": 142, "1726765632629395": 142, "1726787090301514": 142, "1726977825164795": 142, "1727": 142, "1727173328399658": 142, "1727635860443115": 142, "1727678775787354": 142, "1727750301361084": 142, "1728236675262451": 142, "1728638857603073": 142, "17287": 142, "1729": 134, "17291": 142, "1729228496551514": 142, "1729400157928467": 142, "1729798316955566": 142, "172g": 131, "173": [134, 142, 147], "1730103": 151, "1730329990386963": 142, "1730403900146484": 142, "1730647087097168": 142, "1730701923370361": 142, "1730940341949463": 142, "173095941543579": 142, "1730995178222656": 142, "173192024230957": 142, "1732001304626465": 142, "1732063293457031": 142, "17324": 142, "1732518672943115": 142, "1732521057128906": 142, "1732635498046875": 142, "1732738018035889": 142, "1733": 147, "17332": 142, "1733403205871582": 142, "1733601093292236": 142, "1733789443969727": 142, "1734": 142, "17341530323028564": 142, "1734187602996826": 142, "1734304428100586": 142, "173447847366333": 142, "173490524291992": 142, "1734910011291504": 142, "1735692024230957": 142, "173584222793579": 142, "17358557879924774": 142, "1736111640930176": 142, "173616886138916": 142, "17367": 142, "1736736297607422": 142, "173685073852539": 142, "1737167835235596": 142, "1738009452819824": 142, "17381": 142, "1738200187683105": 142, "17383": 142, "173840045928955": 142, "1738524436950684": 142, "1738545894622803": 142, "1739": [142, 154], "1739256381988525": 142, "1739754676818848": 142, "174": 147, "1740076541900635": 142, "17401": 142, "1740186214447021": 142, "1740267276763916": 142, "174069404602051": 142, "1740851402282715": 142, "1741254329681396": 142, "17413": 142, "1741306781768799": 142, "1741359233856201": 142, "174196720123291": 142, "1742150783538818": 142, "174216270446777": 142, "174225091934204": 142, "1742324829101562": 142, "1742644309997559": 142, "174264669418335": 142, "1742895245552063": 142, "1742959022521973": 142, "1743": 142, "174306869506836": 142, "17435": 142, "1743500232696533": 142, "1744000911712646": 142, "1744132041931152": 142, "1744365692138672": 142, "174445390701294": 142, "174452781677246": 142, "1744663715362549": 142, "17449": 142, "1745061874389648": 142, "1745421886444092": 142, "174595832824707": 142, "174661636352539": 142, "1746671199798584": 142, "1746773719787598": 142, "1746e": 147, "1747": [142, 154], "1747124195098877": 142, "1747126579284668": 142, "1747276782989502": 142, "17473": 142, "1747572422027588": 142, "174769401550293": 142, "1748": 154, "1748228073120117": 142, "174832820892334": 142, "1748549938201904": 142, "1748948097229004": 142, "1749": 142, "1749083995819092": 142, "1749742031097412": 142, "17498779296875": 142, "175": 147, "175027847290039": 142, "17507004737854": 142, "175102949142456": 142, "1751251220703125": 142, "1751258373260498": 142, "1751642227172852": 142, "175172805786133": 142, "17524": 142, "1752607822418213": 142, "1752731800079346": 142, "1753156185150146": 142, "175328016281128": 142, "1753687858581543": 142, "1753699779510498": 142, "17538": 142, "1753959655761719": 142, "1754226684570312": 142, "1754388809204102": 142, "1754951477050781": 142, "1755": [142, 147, 149], "1755106449127197": 142, "1755127906799316": 142, "1755166053771973": 142, "1755404472351074": 142, "175569772720337": 142, "17558": 142, "1756188869476318": 142, "1756398677825928": 142, "17564": 142, "1757292747497559": 142, "1757519245147705": 142, "17577": 142, "1758105754852295": 142, "1758716106414795": 142, "1758754253387451": 142, "1758852005004883": 142, "17593": 142, "1759366989135742": 142, "1759448051452637": 142, "17597": 142, "176": 147, "1760175228118896": 142, "1760375499725342": 142, "17606109380722046": 142, "1760778427124023": 142, "17615": 142, "1762001514434814": 142, "1762363910675049": 142, "17625": 142, "1762573719024658": 142, "176269769668579": 142, "1762940883636475": 142, "1763124465942383": 142, "176332950592041": 142, "17638": 142, "1763875484466553": 142, "17639": 142, "1763942241668701": 142, "176398515701294": 142, "176457166671753": 142, "17650": 142, "1765251159667969": 142, "1765392384": 158, "1765403747558594": 142, "1765596866607666": 142, "1765673160552979": 142, "17667": 142, "1766877174377441": 142, "1766948699951172": 142, "176729679107666": 142, "1767356395721436": 142, "1767377853393555": 142, "176746129989624": 142, "1767585277557373": 142, "1767733097076416": 142, "1767754554748535": 142, "17678": 142, "1767833232879639": 142, "17679762840271": 142, "1768105030059814": 142, "1768896579742432": 142, "1768958568572998": 142, "17691": 142, "1769318580627441": 142, "1769452095031738": 142, "1769459247589111": 142, "17695": 142, "1769533157348633": 142, "1769790649414062": 142, "177": 147, "177006721496582": 142, "177008867263794": 142, "17701": 142, "177030086517334": 142, "1770336627960205": 142, "1770431995391846": 142, "17706": 142, "177098274230957": 142, "1771175861358643": 142, "1771268844604492": 142, "1771869659423828": 142, "1772": 134, "177234411239624": 142, "1772541999816895": 142, "1772665977478027": 142, "17726731300354": 142, "17728": 142, "1773512363433838": 142, "1773545742034912": 142, "177382230758667": 142, "1774418354034424": 142, "17746": 142, "177466869354248": 142, "1774778366088867": 142, "1774990558624268": 142, "1775": 142, "17751": 142, "17757": 142, "1776318550109863": 142, "1776845455169678": 142, "1778016090393066": 142, "1778247356414795": 142, "1779": 147, "1779122352600098": 142, "1779417991638184": 142, "177952527999878": 142, "1779592037200928": 142, "1779842376708984": 142, "1779875755310059": 142, "178": 147, "1780": 142, "1780049800872803": 142, "17801": 142, "17803": 142, "178032398223877": 142, "1780335903167725": 142, "178046464920044": 142, "1780507564544678": 142, "1780731678009033": 142, "178091049194336": 142, "17811": 142, "178124189376831": 142, "17813": 142, "17817": 142, "1782333850860596": 142, "1782420575618744": 142, "1782464981079102": 142, "178262710571289": 142, "1782686710357666": 142, "1782786846160889": 142, "1783": 142, "1783006191253662": 142, "178323745727539": 142, "178337574005127": 142, "178347110748291": 142, "17835": 142, "1784131526947021": 142, "1784188747406006": 142, "1784319877624512": 142, "17848": 142, "178518295288086": 142, "1785376071929932": 142, "17856": 142, "1785740852355957": 142, "1785924434661865": 142, "1786": 142, "1786065101623535": 142, "17862": 142, "1786270141601562": 142, "1786437034606934": 142, "17867": 142, "1786885261535645": 142, "1787": [147, 149], "1787028312683105": 142, "1787049770355225": 142, "17871": 142, "17875": 142, "178760290145874": 142, "1787712574005127": 142, "17880": 142, "1788902282714844": 142, "178894281387329": 142, "1789042949676514": 142, "1789147853851318": 142, "17892": 142, "1789309978485107": 142, "1789593696594238": 142, "1789867877960205": 142, "178990364074707": 142, "179": 147, "1790060997009277": 142, "1790087223052979": 142, "1790783405303955": 142, "1790988445281982": 142, "1790995597839355": 142, "1791": 142, "17910": 142, "179103136062622": 142, "179110527038574": 142, "1791553497314453": 142, "179201602935791": 142, "1792097091674805": 142, "1792106628417969": 142, "1792147159576416": 142, "1792151927947998": 142, "1792192459106445": 142, "17926": 142, "1793": 142, "1793501377105713": 142, "1793756484985352": 142, "1793909072875977": 142, "1794157028198242": 142, "17945": 142, "17948": 142, "1794986724853516": 142, "1795275211334229": 142, "179548740386963": 142, "1795549392700195": 142, "1795809268951416": 142, "1795909404754639": 142, "17964": 142, "1796485036611557": 142, "179673671722412": 142, "1797": [142, 147, 149], "1797263622283936": 142, "17974": 142, "179749": 154, "17977": 142, "1797878742218018": 142, "17980": 142, "1798055171966553": 142, "179823875427246": 142, "1798295974731445": 142, "17984": 142, "1798481941223145": 142, "17985": 142, "1798698902130127": 142, "1798748970031738": 142, "179884672164917": 142, "17989": 142, "1799": 142, "1799640655517578": 142, "1799967288970947": 142, "17e": 147, "17g": 129, "17it": [134, 138, 147], "17m": 134, "18": [24, 132, 134, 139, 142, 147, 148, 149, 151, 154, 157], "180": 147, "1800258159637451": 142, "18003": 142, "18010": 142, "1801228523254395": 142, "1801316738128662": 142, "180143117904663": 142, "1801860332489014": 142, "1801915168762207": 142, "1802": [142, 154], "1802000999450684": 142, "18021": 142, "1802198886871338": 142, "1802513599395752": 142, "18026": 142, "180267095565796": 142, "1802682876586914": 142, "180314064025879": 142, "18032": 142, "180332899093628": 142, "1803371906280518": 142, "1803393363952637": 142, "180363655090332": 142, "1803691387176514": 142, "1803760528564453": 142, "1803882122039795": 142, "1804": 142, "1804285049438477": 142, "180483341217041": 142, "1804847717285156": 142, "180499792098999": 142, "1805486679077148": 142, "1805500984191895": 142, "1805739402770996": 142, "18059": 142, "18063": 142, "1806437969207764": 142, "1806468963623047": 142, "180724859237671": 142, "1807756423950195": 142, "1807925701141357": 142, "1807935237884521": 142, "1807e": 147, "1808": 142, "1808319091796875": 142, "1808421611785889": 142, "1808807849884033": 142, "1809160709381104": 142, "18093": 142, "1809849739074707": 142, "181": [140, 142, 147], "18100": 142, "1810076236724854": 142, "18104": 142, "1810429096221924": 142, "18105": 142, "1811017990112305": 142, "1811068058013916": 142, "1811091899871826": 142, "181127548217773": 142, "181172847747803": 142, "1812007427215576": 142, "1812565326690674": 142, "1812617778778076": 142, "18127": 142, "1813199520111084": 142, "18132": 142, "181331157684326": 142, "1813335418701172": 142, "18135": 142, "18138": 142, "18139": 142, "1814167499542236": 142, "18142": 142, "18144370e": [147, 149], "1814603805541992": 142, "18148": 142, "1814908981323242": 142, "1814920902252197": 142, "1815152168273926": 142, "1815211772918701": 142, "181527614593506": 142, "1815288066864014": 142, "181532621383667": 142, "1815385818481445": 142, "1815502643585205": 142, "18155837059021": 142, "181584119796753": 142, "1815879344940186": 142, "181617021560669": 142, "18163": 142, "18165": 142, "18167": 142, "1816954612731934": 142, "1817054748535156": 142, "181706190109253": 142, "1817612648010254": 142, "1817796230316162": 142, "18178516": [147, 149], "18178516e": [147, 149], "181788444519043": 142, "18179": 142, "181791067123413": 142, "1818": 147, "1818335056304932": 142, "1819183826446533": 142, "18192": 142, "18193": 142, "18198": 142, "1819825172424316": 142, "1819851398468018": 142, "182": [142, 147, 151], "182025671005249": 142, "1820344924926758": 142, "1820881366729736": 142, "1821": 142, "1821305751800537": 142, "1821317672729492": 142, "18217": 142, "1822": [142, 153], "1822142601013184": 142, "182220458984375": 142, "1822271347045898": 142, "182236909866333": 142, "1822640895843506": 142, "1822822093963623": 142, "1823": [142, 147, 149], "18230": 142, "1823022365570068": 142, "182462453842163": 142, "1824815273284912": 142, "1824955940246582": 142, "1825": 142, "1825010776519775": 142, "1825313568115234": 142, "18254": 142, "1825425624847412": 142, "1825587749481201": 142, "182563676237148e": 142, "182563705069404e": 142, "182563705069405e": 142, "1825921535491943": 142, "1825933456420898": 142, "1825954914093018": 142, "1826": 142, "1826043128967285": 142, "182612419128418": 142, "1826386451721191": 142, "1826496124267578": 142, "1826863288879395": 142, "1827": [142, 147], "182701587677002": 142, "1827030181884766": 142, "1827342510223389": 142, "18279": 142, "182798147201538": 142, "1828038692474365": 142, "1828160285949707": 142, "18290": 142, "182952642440796": 142, "182990312576294": 142, "183": 147, "18300": 142, "1830103397369385": 142, "18302": 142, "183032751083374": 142, "18305": 142, "1830646991729736": 142, "183079481124878": 142, "1830942630767822": 142, "1831023693084717": 142, "1831080913543701": 142, "1831319332122803": 142, "18317": 142, "1831719875335693": 142, "183192253112793": 142, "1832": 154, "1832356452941895": 142, "1832406520843506": 142, "183271884918213": 142, "18329115211963654": 142, "1832971572875977": 142, "1833014488220215": 142, "1833162307739258": 142, "1833932399749756": 142, "18344": 142, "183454990386963": 142, "183457374572754": 142, "18347": 142, "18350": 142, "1835448741912842": 142, "1835734844207764": 142, "1835932731628418": 142, "1835e": 147, "1836": [142, 147], "18361": 142, "1836121082305908": 142, "1836247444152832": 142, "18365": 142, "1836552619934082": 142, "1836652755737305": 142, "183730125427246": 142, "18379154801368713": 142, "1838066577911377": 142, "1838276386260986": 142, "183828353881836": 142, "18383": 142, "183835506439209": 142, "183849811553955": 142, "1838796138763428": 142, "18388": 142, "1839": 154, "1839025020599365": 142, "184": [134, 147], "1840150356292725": 142, "1840400695800781": 142, "1840627193450928": 142, "1841094493865967": 142, "18411": 142, "1841366291046143": 142, "1841689348220825": 142, "1841731071472168": 142, "1842": [142, 154], "1842026710510254": 142, "184208631515503": 142, "184216022491455": 142, "18427": 142, "1842703819274902": 142, "184279203414917": 142, "1842851638793945": 142, "1843146085739136": 142, "1843180656433105": 142, "18433952331543": 142, "184356927871704": 142, "1843836307525635": 142, "18438720703125": 142, "18440": 142, "1844751834869385": 142, "184514045715332": 142, "1845650672912598": 142, "1845829486846924": 142, "1846182346343994": 142, "1846275329589844": 142, "1846370697021484": 142, "1846423149108887": 142, "18464785814285278": 142, "1846671104431152": 142, "18468": 142, "1846985816955566": 142, "1847169399261475": 142, "18474": 142, "1847925186157227": 142, "1848": 142, "184870719909668": 142, "184873104095459": 142, "1849": 142, "1849250793457031": 142, "1849429607391357": 142, "1849701404571533": 142, "185": 147, "18500": 142, "1850042343139648": 142, "185020923614502": 142, "18504": 142, "185063362121582": 142, "185194730758667": 142, "18519999": 132, "1852340698242188": 142, "1852474212646484": 142, "18525773286819458": 142, "1852655410766602": 142, "1853": 142, "1853110790252686": 142, "1853272914886475": 142, "1853303909301758": 142, "1853315830230713": 142, "1853594779968262": 142, "185487747192383": 142, "1855201721191406": 142, "1855521202087402": 142, "18556": 142, "185565710067749": 142, "1855733394622803": 142, "1855871677398682": 142, "185591459274292": 142, "185602": 147, "18561": 142, "18562": 142, "18562912940979": 142, "185652732849121": 142, "18567": 142, "1856708526611328": 142, "18568": 142, "1856868267059326": 142, "1857": 147, "185725212097168": 142, "1857497692108154": 142, "1857640743255615": 142, "1857805252075195": 142, "18583": 142, "185901403427124": 142, "18591393530368805": 142, "18594": 142, "1859796047210693": 142, "185k": 147, "186": 147, "1860136985778809": 142, "1860146522521973": 142, "1860265731811523": 142, "1860389709472656": 142, "1860480308532715": 142, "1860547065734863": 142, "18609": 142, "1861021518707275": 142, "1861324310302734": 142, "18614": 142, "18619": 142, "1861927509307861": 142, "1861989498138428": 142, "186215877532959": 142, "18622": 142, "186220645904541": 142, "18625": 142, "1862528324127197": 142, "1862530708312988": 142, "1862611770629883": 142, "186267375946045": 142, "1862750053405762": 142, "186295747756958": 142, "1863": 142, "1863255500793457": 142, "1863276958465576": 142, "186347246170044": 142, "1863601207733154": 142, "186378002166748": 142, "1863956451416016": 142, "18642": 142, "18645": 142, "1864738464355469": 142, "18648": 142, "18649": 142, "18654": 142, "1865668296813965": 142, "1865830421447754": 142, "18658447265625": 142, "18660": 142, "18663": 142, "1866493225097656": 142, "1866981983184814": 142, "1867": 142, "18670": 142, "186739444732666": 142, "1868": 142, "1868410110473633": 142, "18686": 142, "1868791580200195": 142, "1869": 142, "1869029998779297": 142, "1869072914123535": 142, "18691": 142, "1869332790374756": 142, "18695": 142, "187": 147, "1870145797729492": 142, "1870899200439453": 142, "1871001720428467": 142, "1871405": [147, 149], "18714050e": [147, 149], "1871466636657715": 142, "1871628761291504": 142, "187179": [147, 149], "1872320175170898": 142, "187244176864624": 142, "1872727870941162": 142, "1873095035552979": 142, "187345266342163": 142, "1873693466186523": 142, "1874": 142, "187405109405518": 142, "1874065399169922": 142, "1874244213104248": 142, "1874260902404785": 142, "1874511241912842": 142, "1874747276306152": 142, "1874761581420898": 142, "18748140335083": 142, "1875410079956055": 142, "187565565109253": 142, "1875879764556885": 142, "1875922679901123": 142, "1876": [142, 147, 149], "187610387802124": 142, "1876635551452637": 142, "1876802444458008": 142, "1877202987670898": 142, "1877740621566772": 142, "1877822875976562": 142, "1878509521484375": 142, "187852144241333": 142, "1878621578216553": 142, "1878669261932373": 142, "1879": 147, "18790864944458": 142, "18793": 130, "18793_clean_3hdhbg6tiz": 130, "1879615783691406": 142, "1879732608795166": 142, "1879734992980957": 142, "1879980564117432": 142, "187999963760376": 142, "188": [142, 147], "188040018081665": 142, "1881740093231201": 142, "1881966590881348": 142, "1882": [142, 147, 154], "1882226467132568": 142, "1882317066192627": 142, "1882448196411133": 142, "1882603168487549": 142, "1882672309875488": 142, "1882798671722412": 142, "1882896423339844": 142, "1883": 142, "18831467628479": 142, "188323020935059": 142, "1883549690246582": 142, "188359260559082": 142, "1883704662322998": 142, "1883971691131592": 142, "1884": [142, 154], "1884174346923828": 142, "1884608268737793": 142, "1885032653808594": 142, "1885218620300293": 142, "18861985206604": 142, "1886255741119385": 142, "1886296272277832": 142, "188655138015747": 142, "188668966293335": 142, "1887": 142, "1887195110321045": 142, "18872781097888947": 142, "188730239868164": 142, "1887319087982178": 142, "1887431144714355": 142, "1887495517730713": 142, "1887598037719727": 142, "1887681484222412": 142, "1888015270233154": 142, "1888618469238281": 142, "18893297016620636": 142, "18895316": [147, 149], "18895316e": [147, 149], "1889619827270508": 142, "1889739036560059": 142, "188979148864746": 142, "189": [142, 147], "1890349388122559": 142, "1890573501586914": 142, "189083099365234": 142, "1890861988067627": 142, "1891443729400635": 142, "1891944408416748": 142, "1892244815826416": 142, "1892518997192383": 142, "1892812252044678": 142, "189293384552002": 142, "189302921295166": 142, "1893112659454346": 142, "1893765926361084": 142, "1894": [142, 154], "1894125938415527": 142, "1894640922546387": 142, "1894679069519043": 142, "1894855499267578": 142, "1894881259824612": 132, "1895089149475098": 142, "1895194053649902": 142, "1895387172698975": 142, "189561367034912": 142, "1895663738250732": 142, "1895818710327148": 142, "189647674560547": 142, "189670592546463": 142, "189673900604248": 142, "1897220611572266": 142, "189732551574707": 142, "1897330284118652": 142, "1897339820861816": 142, "1897358894348145": 142, "1897761821746826": 142, "1897947788238525": 142, "1898": 154, "1898484230041504": 142, "18986701965332": 142, "1898674964904785": 142, "1898698806762695": 142, "189892292022705": 142, "1899089813232422": 142, "1899299621582031": 142, "18e": 147, "18g": 131, "18it": [138, 147], "18m": 134, "19": [132, 134, 142, 145, 147, 148, 149, 151, 154, 157, 158], "190": 147, "1900": 142, "190021276473999": 142, "190070629119873": 142, "1900737285614014": 142, "190079689025879": 142, "190083": 156, "1901392936706543": 142, "1902": 142, "1902759075164795": 142, "1902952194213867": 142, "1903367042541504": 142, "190486192703247": 142, "19049072265625": 142, "1905276775360107": 142, "1905853748321533": 142, "190607": [147, 149], "1906919479370117": 142, "1907": 142, "1907355785369873": 142, "190746784210205": 142, "1907641887664795": 142, "1907827854156494": 142, "190800428390503": 142, "1908159255981445": 142, "1908178329467773": 142, "190873622894287": 142, "1909": 154, "1909470558166504": 142, "191": [142, 147], "191016674041748": 142, "1910622119903564": 142, "1910877227783203": 142, "1911": 154, "1911005973815918": 142, "1911327838897705": 142, "1911780834197998": 142, "1912": 142, "1912062168121338": 142, "1912405490875244": 142, "1913": 154, "1913092136383057": 142, "19132399559021": 142, "1913697719573975": 142, "1914": 142, "1914477348327637": 142, "191474914550781": 142, "1914913654327393": 142, "1914916038513184": 142, "19157768785953522": 142, "1915919780731201": 142, "19165265560150146": 142, "1916556358337402": 142, "1916847229003906": 142, "1916909217834473": 142, "1917": 154, "1917104721069336": 142, "1917166709899902": 142, "1917188167572021": 142, "1917262077331543": 142, "191741704940796": 142, "1917967796325684": 142, "1918": 142, "1918201446533203": 142, "1919": 142, "191908359527588": 142, "1919171810150146": 142, "191917419433594": 142, "191922903060913": 142, "191941261291504": 142, "1919574737548828": 142, "19197940826416": 142, "192": 147, "1920440196990967": 142, "1920619010925293": 142, "1920676231384277": 142, "1921203136444092": 142, "1921494007110596": 142, "192152500152588": 142, "1921558380126953": 142, "1921579837799072": 142, "1921894550323486": 142, "1922": 142, "192204475402832": 142, "192225456237793": 142, "192234754562378": 142, "1922557353973389": 142, "1922705173492432": 142, "192281723022461": 142, "1922953128814697": 142, "192317008972168": 142, "192336082458496": 142, "192366600036621": 142, "1924452781677246": 142, "1924805641174316": 142, "1925": 142, "19250009953975677": 142, "1925075054168701": 142, "1925292015075684": 142, "192582607269287": 142, "1925899982452393": 142, "1926007270812988": 142, "1926016807556152": 142, "1926255226135254": 142, "1927061080932617": 142, "192725658416748": 142, "192737102508545": 142, "1927499771118164": 142, "1928043365478516": 142, "1928107738494873": 142, "1928415298461914": 142, "1928529739379883": 142, "19285894930362701": 142, "192878723144531": 142, "1928927898406982": 142, "1929473876953125": 142, "1929597854614258": 142, "193": [142, 147], "1930105686187744": 142, "1930160522460938": 142, "1930723190307617": 142, "1930882930755615": 142, "1930905282497406": 142, "1931211948394775": 142, "1931397914886475": 142, "193152666091919": 142, "1932": 142, "1932322978973389": 142, "1933": 154, "1933112144470215": 142, "1933376789093018": 142, "1933495998382568": 142, "19339793920516968": 142, "193413257598877": 142, "19341841340065002": 142, "1934232711791992": 142, "1934349536895752": 142, "1934387683868408": 142, "1934525966644287": 142, "1934528350830078": 142, "1934590339660645": 142, "193544626235962": 142, "1935453414916992": 142, "1935601234436035": 142, "1935808658599854": 142, "1936": 142, "1936051845550537": 142, "1936414241790771": 142, "193685531616211": 142, "1937282085418701": 142, "193734884262085": 142, "1937427520751953": 142, "1937472820281982": 142, "1937828063964844": 142, "1937854290008545": 142, "1938390731811523": 142, "1938517093658447": 142, "19389009475708": 142, "1939122676849365": 142, "1939256191253662": 142, "1939313411712646": 142, "194": 147, "1940": 154, "1940009593963623": 142, "1940710544586182": 142, "1940906047821045": 142, "1941": 142, "1941218376159668": 142, "194122314453125": 142, "194155216217041": 142, "1941859722137451": 142, "194221019744873": 142, "194295883178711": 142, "1942992210388184": 142, "1943": 142, "1943039894104004": 142, "1943295001983643": 142, "1944": 142, "1944012641906738": 142, "1944260597229004": 142, "1944794654846191": 142, "1944892406463623": 142, "194495439529419": 142, "1945": 156, "194509506225586": 142, "1945219039916992": 142, "1945505142211914": 142, "1945559978485107": 142, "1945734024047852": 142, "1945855617523193": 142, "1945908069610596": 142, "1945991516113281": 142, "1946322917938232": 142, "194648265838623": 142, "194653034210205": 142, "1946556568145752": 142, "1946818828582764": 142, "194728851318359": 142, "1947593688964844": 142, "194812536239624": 142, "1949": 142, "1949331760406494": 142, "1949636936187744": 142, "1949899196624756": 142, "1949975490570068": 142, "195": [134, 147, 157], "1950": 142, "1950044631958008": 142, "1950054168701172": 142, "1950697898864746": 142, "1950876712799072": 142, "1951184272766113": 142, "1952316761016846": 142, "1952629089355469": 142, "1953": 142, "1953437328338623": 142, "1953611373901367": 142, "1953723430633545": 142, "1953797340393066": 142, "1953954696655273": 142, "1954": 142, "1954498291015625": 142, "1955032348632812": 142, "1955249309539795": 142, "1955630779266357": 142, "1956722736358643": 142, "1957356929779053": 142, "1958": 142, "195840835571289": 142, "1958651542663574": 142, "1958668231964111": 142, "1958765983581543": 142, "1958773136138916": 142, "1958818435668945": 142, "19589067995548248": 142, "1959154605865479": 142, "1959288120269775": 142, "1959309577941895": 142, "195953369140625": 142, "1959912776947021": 142, "196": [142, 145, 147, 151, 157], "1961314678192139": 142, "1961567401885986": 142, "196216106414795": 142, "1962854862213135": 142, "1963": 142, "196300745010376": 142, "1963269710540771": 142, "1963458061218262": 142, "196396827697754": 142, "196406602859497": 142, "1964280605316162": 142, "1964948177337646": 142, "1965644359588623": 142, "1965657472610474": 142, "1965749263763428": 142, "1965973377227783": 142, "1966": [147, 149], "1966004371643066": 142, "196608066558838": 142, "1966254711151123": 142, "1966431140899658": 142, "196672201156616": 142, "1966838836669922": 142, "1966869831085205": 142, "1967": 142, "19671106338501": 142, "1967577934265137": 142, "196786403656006": 142, "196800947189331": 142, "196807861328125": 142, "1968915462493896": 142, "1969": 142, "1969521045684814": 142, "1969740390777588": 142, "197": [147, 157], "1970412731170654": 142, "19713": 142, "1971354484558105": 142, "1971614360809326": 142, "19717": 142, "197174072265625": 142, "197174310684204": 142, "1972038745880127": 142, "1972098350524902": 142, "19724": 142, "1972455978393555": 142, "19725": 142, "19727": 142, "19728": 142, "1972837448120117": 142, "1973": 142, "197309970855713": 142, "1973302364349365": 142, "1973345279693604": 142, "1973462104797363": 142, "1973602771759033": 142, "19739": 142, "19740": 142, "197402000427246": 142, "1974241733551025": 142, "1974482536315918": 142, "19746": 142, "1974616050720215": 142, "19747": 142, "1974754333496094": 142, "1975328922271729": 142, "1975412368774414": 142, "1975836753845215": 142, "1975975036621094": 142, "1976": 142, "1976027488708496": 142, "1976163387298584": 142, "197643756866455": 142, "19765": 142, "1976542472839355": 142, "19768": 142, "197692632675171": 142, "1977100372314453": 142, "1977136135101318": 142, "1977498531341553": 142, "1977729797363281": 142, "1977837085723877": 142, "1977949142456055": 142, "197798728942871": 142, "197852611541748": 142, "19787": 142, "1978819370269775": 142, "19791": 142, "19792": 142, "197922706604004": 142, "1979303359985352": 142, "19795": 142, "1979594230651855": 142, "19797": 142, "1979715824127197": 142, "1979718208312988": 142, "198": [147, 157], "19800": 142, "1980204582214355": 142, "19804": 142, "1980435848236084": 142, "1980438232421875": 142, "19807": 142, "19809": 142, "1980931758880615": 142, "19810": 142, "1981019973754883": 142, "19814": 142, "1981456279754639": 142, "1981523036956787": 142, "1981589794158936": 142, "1982": 142, "19821": 142, "1982223987579346": 142, "19824": 142, "1982529163360596": 142, "1982908248901367": 142, "19833": 142, "198333501815796": 142, "198333740234375": 142, "1983354091644287": 142, "1983368396759033": 142, "19835": 142, "1983606815338135": 142, "198362112045288": 142, "198372": 147, "1984": 142, "19844": 142, "1984400749206543": 142, "1984846591949463": 142, "19850": 142, "19851": 142, "19855": 142, "198568344116211": 142, "1986114978790283": 142, "1986393928527832": 142, "1986472606658936": 142, "198697566986084": 142, "19870": 142, "19871": 142, "1987366676330566": 142, "1987407207489014": 142, "19876": 142, "19877": 142, "198772668838501": 142, "19879": 142, "1987965106964111": 142, "1987972259521484": 142, "19880": 142, "198817253112793": 142, "19884": 142, "19885": 142, "1988592147827148": 142, "19887": 142, "198899745941162": 142, "1989": 142, "19893": 134, "1989431381225586": 142, "1989624500274658": 142, "1989812850952148": 142, "199": [132, 147, 151, 157], "199016809463501": 142, "1990177631378174": 142, "1990180015563965": 142, "1990339756011963": 142, "19905": 142, "19906": 142, "199117660522461": 142, "19915": 142, "19917": 142, "1991832256317139": 142, "1992318630218506": 142, "199233055114746": 142, "1992640495300293": 142, "19932": 142, "1993434429168701": 142, "1993582248687744": 142, "19936": 142, "1993639469146729": 142, "19940": 142, "19941": 142, "1994423866271973": 142, "1994483470916748": 142, "19946": 142, "1994755268096924": 142, "199490547180176": 142, "19953": 142, "19954": 142, "19955": 142, "1995697021484375": 142, "199599266052246": 142, "1996097564697266": 142, "19963": 142, "1996345520019531": 142, "1996383666992188": 142, "1996469497680664": 142, "19968": 142, "1996922492980957": 142, "1997": 147, "19971": 142, "1997199058532715": 142, "1997385025024414": 142, "19983": 142, "199845314025879": 142, "1998648643493652": 142, "1998968124389648": 142, "1999061107635498": 142, "19991": 142, "199958324432373": 142, "199974536895752": 142, "1999833583831787": 142, "19e": 147, "19it": [134, 147], "19m": 134, "1d": [64, 77], "1d140aaa2e7b287124ab38911a711d70": 129, "1e": [40, 134, 154], "1f": [132, 134, 151], "1f4": 134, "1g": [129, 131], "1it": 134, "1m": [147, 158], "1t": 129, "1x1": [101, 103, 105, 153], "2": [1, 4, 14, 17, 24, 29, 32, 33, 36, 38, 40, 41, 43, 49, 51, 52, 58, 59, 66, 71, 72, 79, 80, 81, 85, 86, 89, 94, 98, 99, 101, 103, 105, 109, 117, 128, 130, 131, 132, 133, 134, 138, 139, 140, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "20": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 101, 103, 104, 106, 107, 112, 116, 117, 132, 133, 134, 139, 142, 147, 149, 151, 154, 156, 157], "200": [19, 25, 121, 122, 128, 134, 147, 156, 157], "2000": [89, 134, 142], "20001": 142, "2000389099121094": 142, "2000651359558105": 142, "20007": 142, "2000980377197266": 142, "200106143951416": 142, "2001128196716309": 142, "20012": 142, "20012712478637695": 142, "2001686096191406": 142, "2001924514770508": 142, "2001957893371582": 142, "2001988887786865": 142, "2002": 142, "200204610824585": 142, "2002270221710205": 142, "2002289295196533": 142, "20025": 142, "20027": 142, "20033": 142, "20033860206604": 142, "20034": 142, "2003662586212158": 142, "200382947921753": 142, "2004141807556152": 142, "200434684753418": 142, "2004470825195312": 142, "2004642486572266": 142, "20050": 142, "200533151626587": 142, "2005460262298584": 142, "2005512714385986": 142, "20058274269104": 142, "2005963325500488": 142, "2005980014801025": 142, "2006": 142, "20061": 142, "2006676197052002": 142, "20068359375": 142, "200690507888794": 142, "200716495513916": 142, "200723648071289": 142, "20074": 142, "20079472661018372": 142, "200798511505127": 142, "2008": [142, 147, 154], "200800895690918": 142, "2008202075958252": 142, "20083": 142, "200831413269043": 142, "2008802890777588": 142, "2009012699127197": 142, "200913429260254": 142, "2009506225585938": 142, "200k": [129, 134, 139, 144, 147, 158], "201": [153, 157], "2010": [139, 147], "2010445594787598": 142, "201049566268921": 142, "20108": 142, "2010860443115234": 142, "2010955810546875": 142, "2011046409606934": 142, "20112": 142, "2011783123016357": 142, "2012012004852295": 142, "2012290954589844": 142, "20123": 142, "2012817859649658": 142, "20131": 142, "201310634613037": 142, "20132": 142, "20133": 142, "201369285583496": 142, "20139": 142, "2014": [147, 149, 153], "2014048099517822": 142, "20144": 142, "20145": 142, "20146": 142, "20147": 142, "2014975547790527": 142, "2015": 132, "2015061378479004": 142, "20152": 142, "2015211582183838": 142, "201589822769165": 142, "2016": [134, 158], "2016139030456543": 142, "20162": 142, "2016329765319824": 142, "2016465663909912": 142, "2016732692718506": 142, "2016854286193848": 142, "2017": 142, "2017195224761963": 142, "2017405033111572": 142, "201758623123169": 142, "2017712593078613": 142, "2018": 142, "20180": 142, "2018013000488281": 142, "2018117904663086": 142, "2018449306488037": 142, "2018656730651855": 142, "201878547668457": 142, "20191": 142, "20192": 142, "20192551612854": 142, "2019381523132324": 142, "20196": 142, "20197": 142, "20197205245494843": 142, "20199": 142, "2019901275634766": 142, "201998233795166": 142, "202": 157, "2020": [32, 146, 147, 151], "2020072937011719": 142, "2021": [64, 77, 92, 97, 98, 139, 146, 147, 150, 153], "2021019458770752": 142, "2021048069000244": 142, "20211": 142, "2021691799163818": 142, "2021701335906982": 142, "202190399169922": 142, "2022": [147, 149, 156], "20220": 142, "2022051811218262": 142, "202208518981934": 142, "2022228240966797": 142, "20227": 142, "20228": 142, "2023": [130, 142, 151, 158], "202316761016846": 142, "2023494243621826": 142, "20235": 142, "2023890018463135": 142, "202389240264893": 142, "2024": [132, 134, 142, 145, 147, 158], "20240311": 142, "20240417": 134, "20240417t163216z": 134, "2024106979370117": 142, "20242": 142, "20244": 142, "2024524211883545": 142, "20246": 142, "2024650573730469": 142, "20249": 142, "20250": 142, "2025487422943115": 142, "20255": 142, "20256": 142, "20257": 142, "2026081085205078": 142, "20261": 142, "202613115310669": 142, "2026190757751465": 142, "202620506286621": 142, "20263": 142, "20265737175941467": 142, "202678918838501": 142, "20268": 142, "2026941776275635": 142, "2027": 142, "2027020454406738": 142, "2027192115783691": 142, "202731987694278e": 142, "2027394771575928": 142, "2027628421783447": 142, "2027697563171387": 142, "2027888298034668": 142, "20279": 142, "2028069496154785": 142, "2028319835662842": 142, "2028579711914062": 142, "202871322631836": 142, "20289": 142, "2029": 147, "20291": 142, "2029452323913574": 142, "2029860019683838": 142, "2029964923858643": 142, "203": [142, 157], "2030": 142, "203010559082031": 142, "2030203342437744": 142, "20305": 142, "2030534744262695": 142, "2030560970306396": 142, "203064203262329": 142, "2030770778656006": 142, "20311": 142, "20315": 142, "20316": 142, "2031893730163574": 142, "20320": 142, "2032155990600586": 142, "20324182510376": 142, "20325": 142, "203261375427246": 142, "20327": 142, "20331": 142, "2033209800720215": 142, "20335": 142, "20337916910648346": 142, "2033863067626953": 142, "20339": 142, "2033910751342773": 142, "2034": 142, "2034118175506592": 142, "2034122943878174": 142, "20344": 142, "2034728527069092": 142, "203481674194336": 142, "20351": 142, "2035517692565918": 142, "2035880088806152": 142, "2036": 154, "203601598739624": 142, "2036027908325195": 142, "203612327575684": 142, "2036149501800537": 142, "2036173343658447": 142, "20362": 142, "2036244869232178": 142, "203679084777832": 142, "203681230545044": 142, "2036831378936768": 142, "2037274837493896": 142, "2037279605865479": 142, "2037301063537598": 142, "2037646770477295": 142, "203765392303467": 142, "20378": 142, "2037949562072754": 142, "20381": 142, "20382": 142, "20383620262146": 142, "203838586807251": 142, "2038393020629883": 142, "203850269317627": 142, "203850507736206": 142, "2038512229919434": 142, "20389": 142, "2038934230804443": 142, "2039": 142, "20393": 142, "20395": 142, "20397": 142, "204": [132, 147, 157], "2040073871612549": 142, "20401": 142, "2040448188781738": 142, "20405": 142, "20408": 142, "204091548919678": 142, "2041056156158447": 142, "20411": 142, "2041594982147217": 142, "2041740417480469": 142, "204179048538208": 142, "20418": 142, "20419": 142, "2041921615600586": 142, "20419692993164": 142, "2041985988616943": 142, "2042": 154, "20422": 142, "2042272090911865": 142, "20426": 142, "204280853271484": 142, "204305171966553": 142, "20432": 142, "2043213844299316": 142, "204329252243042": 142, "20433": 142, "2043523788452148": 142, "2043554782867432": 142, "20436": 142, "2043657302856445": 142, "2044": 142, "20440": 142, "204409122467041": 142, "2044091671705246": 142, "2044339179992676": 142, "2044532299041748": 142, "2045371532440186": 142, "2045581340789795": 142, "20456": 142, "2046499252319336": 142, "20465": 142, "2046597003936768": 142, "2046608924865723": 142, "2046878337860107": 142, "2046926021575928": 142, "2046971321105957": 142, "2047133445739746": 142, "204729080200195": 142, "20473": 142, "204740047454834": 142, "20479": 142, "20481": 142, "20483": 142, "204831600189209": 142, "2048335075378418": 142, "204843282699585": 142, "20485": 142, "2049": 142, "2049150466918945": 142, "20492": 142, "2049288749694824": 142, "2049293518066406": 142, "2049305438995361": 142, "204944133758545": 142, "204944610595703": 142, "20497": 142, "204977035522461": 142, "205": 147, "2050108909606934": 142, "20503830909729": 142, "20506": 142, "2050690650939941": 142, "2050790786743164": 142, "2051007747650146": 142, "20511": 142, "205133438110352": 142, "2051374912261963": 142, "2051458358764648": 142, "2051801681518555": 142, "2052": 142, "20521": 142, "20526": 142, "2053": 142, "20533": 142, "20536": 142, "205368518829346": 142, "20539": 142, "205409288406372": 142, "20541": 142, "2054409980773926": 142, "20545": 142, "20549": 142, "2054991722106934": 142, "20552": 142, "2055234909057617": 142, "205528736114502": 142, "205533742904663": 142, "2055389881134033": 142, "20554": 142, "20555": 142, "2055516242980957": 142, "2055628299713135": 142, "20557": 142, "20559": 142, "2056": [142, 154], "205615520477295": 142, "20565": 142, "205681562423706": 142, "2057089805603027": 142, "2057533264160156": 142, "20576": 142, "2057774066925049": 142, "20581": 142, "2058188915252686": 142, "205852031707764": 142, "2058532238006592": 142, "205857276916504": 142, "20586": 142, "205869197845459": 142, "2059": 142, "2059102058410645": 142, "2059135437011719": 142, "205913782119751": 142, "2059216499328613": 142, "20599": 142, "206": 157, "2060236930847168": 142, "2060446739196777": 142, "2060589790344238": 142, "2060704231262207": 142, "2061004638671875": 142, "20612": 142, "20618": 142, "206192493438721": 142, "2062": 154, "2062017917633057": 142, "20621": 142, "206213": 154, "2062532901763916": 142, "206254243850708": 142, "2062652111053467": 142, "20628": 142, "2063331604003906": 142, "2063355445861816": 142, "206352949142456": 142, "2063539028167725": 142, "2063944339752197": 142, "2064085006713867": 142, "2064406871795654": 142, "206441879272461": 142, "206454753875732": 142, "2064557075500488": 142, "2064766883850098": 142, "20648": 142, "20649": 142, "2065": 142, "2066094875335693": 142, "20661": 142, "206626296043396": 142, "206661701202393": 142, "20669": 142, "206697463989258": 142, "206700086593628": 142, "20672": 142, "2067315578460693": 142, "2067360877990723": 142, "2067739963531494": 142, "2067854404449463": 142, "20678699016571045": 142, "2068150043487549": 142, "20683": 142, "20685": 142, "206850290298462": 142, "2069060802459717": 142, "206906318664551": 142, "206911325454712": 142, "2069134712219238": 142, "2069382667541504": 142, "20695": 142, "206961631774902": 142, "20697": 142, "2069940567016602": 142, "207": [134, 157], "2070": [142, 154], "207005500793457": 142, "2070090770721436": 142, "2070188522338867": 142, "2070229053497314": 142, "20703916251659393": 142, "2070577144622803": 142, "20708": 142, "2071049213409424": 142, "20711": 142, "2071435451507568": 142, "207165241241455": 142, "20717": 142, "207179069519043": 142, "207181915640831": 142, "2071857452392578": 142, "2072": 142, "20723": 142, "2072491645812988": 142, "20726": 142, "2072741985321045": 142, "2072815895080566": 142, "2072820663452148": 142, "2072834968566895": 142, "2073": 154, "20730": 142, "20731": 142, "2073192596435547": 142, "207319974899292": 142, "207371711730957": 142, "207385778427124": 142, "20740": 142, "207413911819458": 142, "207425594329834": 142, "20744": 142, "20745": 142, "207508": 156, "207517147064209": 142, "207519769668579": 142, "20755934715271": 142, "20757": 142, "2076": 142, "2076644897460938": 142, "207681179046631": 142, "2077531814575195": 142, "2077538967132568": 142, "2077667713165283": 142, "2077674865722656": 142, "2078": [142, 147, 149], "2078795433044434": 142, "2079": 142, "20790": 142, "20791": 142, "2079167366027832": 142, "20792": 142, "20793": 142, "207948207855225": 142, "2079732418060303": 142, "208": 142, "20800": 142, "208005666732788": 142, "20804": 142, "208092451095581": 142, "2081": 142, "2081141471862793": 142, "2081408500671387": 142, "2081503868103027": 142, "2081594467163086": 142, "20817": 142, "2081751823425293": 142, "2081899642944336": 142, "2082": 142, "2082009315490723": 142, "2082362174987793": 142, "2082476615905762": 142, "208249092102051": 142, "208256483078003": 142, "20826": 142, "20828": 142, "2083": 142, "208315849304199": 142, "20832": 142, "20833805203437805": 142, "208357810974121": 142, "2083735466003418": 142, "2083792686462402": 142, "20838": 142, "2083978652954102": 142, "2084": 142, "20840": 142, "208418607711792": 142, "2084221839904785": 142, "20843": 142, "20843505859375": 142, "2084434032440186": 142, "2084472179412842": 142, "20846": 142, "20847": 142, "20849": 142, "208525657653809": 142, "208571434020996": 142, "20860": 142, "20862": 142, "20865": 142, "2086513042449951": 142, "20866": 142, "20868": 142, "2087292671203613": 142, "208747148513794": 142, "208775281906128": 142, "2087891101837158": 142, "20879": 142, "2088329792022705": 142, "208897590637207": 142, "2088992595672607": 142, "2089": 142, "20890000e": [147, 149], "20892": 142, "2089383602142334": 142, "2090": 142, "20900": 142, "2090013027191162": 142, "20901": 142, "209047794342041": 142, "20905": 142, "209061622619629": 142, "2090628147125244": 142, "2091140747070312": 142, "20916": 142, "2091712951660156": 142, "2092461585998535": 142, "2092630863189697": 142, "20928": 142, "209282398223877": 142, "209293842315674": 142, "20932": 142, "2093281745910645": 142, "20935": 142, "20937": 142, "20938": 142, "2093806266784668": 142, "2094430923461914": 142, "20948": 142, "20949": 142, "209491491317749": 142, "2095": 142, "20952": 142, "209578037261963": 142, "209587812423706": 142, "209592342376709": 142, "2095928192138672": 142, "209599494934082": 142, "2095999717712402": 142, "2096": 154, "209639549255371": 142, "209654331207275": 142, "2096729278564453": 142, "2096750736236572": 142, "209693193435669": 142, "20970": 142, "2097482681274414": 142, "209751844406128": 142, "2097952365875244": 142, "2098181247711182": 142, "20983": 142, "20985": 142, "2098565101623535": 142, "20987": 142, "2099392414093018": 142, "2099664211273193": 142, "20997": 142, "209975242614746": 142, "2099857330322266": 142, "20atom": 147, "20data": 153, "20e": 147, "20environ": 147, "20g": [129, 130], "20gnu": 147, "20it": 134, "20lgpl": 147, "20licens": 147, "20m": [129, 134, 139, 144, 147, 158], "20simul": 147, "20th": 147, "20the": 147, "21": [40, 134, 139, 142, 145, 147, 149, 154, 156, 157], "21001": 142, "2100143432617188": 142, "210036039352417": 142, "2100584506988525": 142, "2100744247436523": 142, "2100768089294434": 142, "21008": 142, "210092544555664": 142, "2101051807403564": 142, "21012": 142, "210150957107544": 142, "2101829051971436": 142, "21019": 142, "2102": [97, 98], "21021": 142, "21023": 142, "21024": 142, "2102513313293457": 142, "2102572917938232": 142, "21027": 142, "2102820873260498": 142, "2103": 142, "21030": 142, "2103121280670166": 142, "210376262664795": 142, "21040": 142, "2104060649871826": 142, "210414409637451": 142, "2104511260986328": 142, "21048": 142, "2105": 142, "2105166912078857": 142, "210526466369629": 142, "2105798721313477": 142, "210592269897461": 142, "2106163501739502": 142, "2106409072875977": 142, "21065": 142, "21066": 142, "21067": 142, "21068": 142, "21069": 142, "210727691650391": 142, "210745096206665": 142, "21078": 142, "2108": 142, "2108311653137207": 142, "210840225219727": 142, "2108418941497803": 142, "210875988006592": 142, "2108919620513916": 142, "21090": 142, "21092": 142, "21093": 142, "210944414138794": 142, "21096": 142, "2109746932983398": 142, "2109832763671875": 142, "211019515991211": 142, "2110239565372467": 142, "21104": 142, "2110660076141357": 142, "211093902587891": 142, "2110953330993652": 142, "21112": 142, "21113": 142, "2111477851867676": 142, "211162805557251": 142, "21117": 142, "211172342300415": 142, "2111763954162598": 142, "21118": 142, "2111997604370117": 142, "2112236022949219": 142, "2112317085266113": 142, "211270809173584": 142, "21131": 142, "21134": 142, "2113406658172607": 142, "211368560791016": 142, "2113776206970215": 142, "21139": 142, "211397409439087": 142, "2114": 142, "211402893066406": 142, "21141": 142, "2114901542663574": 142, "2114918231964111": 142, "211494445800781": 142, "2114e": 147, "2115678787231445": 142, "2115716934204102": 142, "2116": 142, "211603164672852": 142, "211613655090332": 142, "21162": 142, "2116496562957764": 142, "21165": 142, "21165132522583": 142, "21166": 142, "21167": 142, "21170": 142, "21171": 142, "21175": 142, "211761474609375": 142, "2117760181427002": 142, "2117996215820312": 142, "2118146419525146": 142, "21182": 142, "211827278137207": 142, "2118539810180664": 142, "2118542194366455": 142, "21187": 142, "2118957042694092": 142, "2119054794311523": 142, "2119231224060059": 142, "2119784355163574": 142, "21199": 142, "2120466232299805": 142, "212064743041992": 142, "2121": 142, "212108612060547": 142, "212122917175293": 142, "212132215499878": 142, "21215": 142, "212154865264893": 142, "212159633636475": 142, "2122": [147, 149], "21220": 142, "2122445106506348": 142, "2123": 142, "212315320968628": 142, "21233": 142, "2123405933380127": 142, "21235": 142, "2123644351959229": 142, "21237": 142, "212385892868042": 142, "21238899230957": 142, "2123985290527344": 142, "2124": 154, "2124075889587402": 142, "2124154567718506": 142, "21244": 142, "2124695777893066": 142, "21248": 142, "2124857902526855": 142, "2124865055084229": 142, "21249": 142, "2125163078308105": 142, "2125446796417236": 142, "21255": 142, "21256": 142, "2126": 142, "21260": 142, "212613821029663": 142, "2126195430755615": 142, "2126355171203613": 142, "2126483917236328": 142, "212658882141113": 142, "212669849395752": 142, "2126760482788086": 142, "212687015533447": 142, "212691068649292": 142, "2126986980438232": 142, "21273": 142, "2127442359924316": 142, "21276": 142, "2128": 142, "2128469944000244": 142, "21286": 142, "212871789932251": 142, "21289": 142, "2128946781158447": 142, "2129034847021103": 142, "2129294872283936": 142, "21294": 142, "21296": 142, "2129802256822586": 142, "212982177734375": 142, "21299": 142, "2129e": 147, "213": 142, "213003158569336": 142, "21301": 142, "2130227088928223": 142, "2130348682403564": 142, "21306": 142, "2130775451660156": 142, "2131": 142, "21313": 142, "213141679763794": 142, "21316": 142, "213167667388916": 142, "21318": 142, "21321": 142, "213242530822754": 142, "2132508754730225": 142, "2132563591003418": 142, "2132575511932373": 142, "213273525238037": 142, "21328": 142, "21336": 142, "21338415145874": 142, "21340": 142, "2134034633636475": 142, "2134039402008057": 142, "21342": 142, "213475227355957": 142, "21348237991333": 142, "213508129119873": 142, "21352": 142, "213542461395264": 142, "2135591506958008": 142, "2135767936706543": 142, "21359": 142, "2136025428771973": 142, "2136168479919434": 142, "2136216163635254": 142, "2136447429656982": 142, "21365": 142, "213660717010498": 142, "21371": 142, "2137179374694824": 142, "21374": 142, "2137560844421387": 142, "2137813568115234": 142, "2138373851776123": 142, "2138416767120361": 142, "213911056518555": 142, "213955879211426": 142, "2139739990234375": 142, "2139828205108643": 133, "213984489440918": 133, "2139849662780762": 133, "2139854431152344": 133, "2139856815338135": 133, "2139859199523926": 133, "2139861583709717": 133, "2139866352081299": 133, "2139878273010254": 133, "213988": 153, "213989019393921": 133, "213989496231079": 142, "214": 142, "21400": 142, "2140369415283203": 142, "21405": 142, "2140674591064453": 142, "2140753269195557": 142, "21409": 142, "2140960693359375": 142, "21413": 142, "21413254737854": 142, "2141451835632324": 142, "2141547203063965": 142, "214169979095459": 142, "21418": 142, "2142": 142, "2142035961151123": 142, "214208126068115": 142, "2142150402069092": 142, "2143": [147, 149], "2143096923828125": 142, "214338779449463": 142, "2143588066101074": 142, "2143759727478027": 142, "2143762111663818": 142, "2143993377685547": 142, "21440": 142, "2144203186035156": 142, "2144527435302734": 142, "21447": 142, "214470624923706": 142, "214489221572876": 142, "21449": 142, "2145044803619385": 142, "2145099639892578": 142, "2145228385925293": 142, "214555263519287": 142, "21459": 142, "214623928070068": 142, "2146389484405518": 142, "21466064453125": 142, "214667797088623": 142, "21467": 142, "2146787643432617": 142, "214690208435059": 142, "2147": 142, "2147061824798584": 142, "2147369384765625": 142, "2147579193115234": 142, "21476": 142, "21477": 142, "2148196697235107": 142, "2148842811584473": 142, "2148845195770264": 142, "214888095855713": 142, "21491": 142, "2149474620819092": 142, "21495": 142, "214ca96e620c5ec6e8a6ff8144a22a04": 129, "215": [134, 142, 147], "2150216102600098": 142, "21504": 142, "21505": 142, "21508": 142, "2150814533233643": 142, "2150821685791016": 142, "215126037597656": 142, "215193748474121": 142, "2152": 142, "2152228355407715": 142, "21525": 142, "2152929306030273": 142, "215299606323242": 142, "2152996063232422": 142, "21547": 142, "215475082397461": 142, "2154765129089355": 142, "21551513671875": 142, "215539042154948": 147, "215552568435669": 142, "2155699729919434": 142, "2155804634094238": 142, "2156": 142, "215611457824707": 142, "215688705444336": 142, "2157": 142, "2157039642333984": 142, "2157220840454102": 142, "2157368659973145": 142, "2157566547393799": 142, "215756893157959": 142, "21577": 142, "215822696685791": 142, "21584": 142, "21588": 142, "21589": 142, "2159": [147, 149], "2159068584442139": 142, "2159392833709717": 142, "21598": 142, "2160": 142, "21600341796875": 142, "2160258293151855": 142, "2160425186157227": 142, "21606": 142, "2160968780517578": 142, "216099500656128": 142, "21613": 142, "2161e": 147, "21622": 142, "216223955154419": 142, "216230869293213": 142, "2162325382232666": 142, "21625": 142, "2162978649139404": 142, "216313123703003": 142, "2163190841674805": 142, "21632719039917": 142, "2163722515106201": 142, "2163e": 147, "2164": 142, "216456651687622": 142, "2164602279663086": 142, "2164995670318604": 142, "216538429260254": 142, "21656": 142, "21657": 142, "21659": 142, "21660": 142, "2166075706481934": 142, "21662": 142, "2166242599487305": 142, "21673": 142, "2167460918426514": 142, "2168": 142, "21681": 142, "216839551925659": 142, "216855525970459": 142, "2168803215026855": 142, "21689772605896": 142, "216904878616333": 142, "2169225215911865": 142, "2169287204742432": 142, "2169711589813232": 142, "21698522567749": 142, "217": 138, "21702766418457": 142, "2170331478118896": 142, "21710": 142, "217103004455566": 142, "2171568870544434": 142, "2172": 142, "217214584350586": 142, "2172434329986572": 142, "2172529697418213": 142, "2172553539276123": 142, "2172727584838867": 142, "2172794342041016": 142, "217287302017212": 142, "2172977924346924": 142, "2173333168029785": 142, "217347145080566": 142, "2173516750335693": 142, "217378616333008": 142, "2174432277679443": 142, "2174534797668457": 142, "21750807762146": 142, "217522382736206": 142, "21756": 142, "217560052871704": 142, "217572212219238": 142, "2175917625427246": 142, "2176": 142, "21760892868042": 142, "217677116394043": 142, "2176806926727295": 142, "21774": 142, "2177703380584717": 142, "21779": 142, "217813968658447": 142, "217820644378662": 142, "217841625213623": 142, "2179": [142, 154], "2179031372070312": 142, "217961311340332": 142, "2179710865020752": 142, "2179815769195557": 142, "2179925441741943": 142, "2179946899414062": 142, "218": [134, 147], "2180": [142, 153], "2180092334747314": 142, "2180674076080322": 142, "2180755138397217": 142, "2180767744": 158, "2180817127227783": 142, "2181010246276855": 142, "2181072235107422": 142, "2181506156921387": 142, "2181639671325684": 142, "2181692123413086": 142, "2181758880615234": 142, "2182": 142, "21822622418403625": 142, "2182456713431016": [147, 149], "2182896137237549": 142, "2183213233947754": 142, "218381404876709": 142, "2183892726898193": 142, "2184386253356934": 142, "21845": 142, "21847": 142, "218506097793579": 142, "21851": 142, "218510150909424": 142, "21852": 142, "218538522720337": 142, "218542098999023": 142, "218547344207764": 142, "21855": 142, "218562364578247": 142, "218587636947632": 142, "2186": 154, "2186148166656494": 142, "218620300292969": 142, "21863": 142, "2186553478240967": 142, "2187": [142, 154], "21873": 142, "2187366485595703": 142, "218739986419678": 142, "2187418937683105": 142, "21875": 142, "218752384185791": 142, "218757152557373": 142, "2187695503234863": 142, "2188124656677246": 142, "21883": 142, "21885": 142, "2188947200775146": 142, "21893": 142, "21895": 142, "2189671993255615": 142, "219": 142, "2190": 151, "2190003395080566": 142, "21901": 142, "2190139293670654": 142, "2190232276916504": 142, "2190420627593994": 142, "219050645828247": 142, "21907": 142, "21911": 142, "2192254066467285": 142, "219232082366943": 142, "2193026542663574": 142, "21934": 142, "2193822860717773": 142, "219395637512207": 142, "2194": 142, "2194018363952637": 142, "2194130420684814": 142, "219423770904541": 142, "219426155090332": 142, "21945": 142, "2194552421569824": 142, "219472885131836": 142, "2194979190826416": 142, "2195277214050293": 142, "2195887565612793": 142, "219602346420288": 142, "2196030616760254": 142, "21965": 142, "2196500301361084": 142, "2197260856628418": 142, "21985": 142, "2198622226715088": 142, "219879150390625": 142, "219881057739258": 142, "2199": 142, "2199316024780273": 142, "219956636428833": 142, "219966173171997": 142, "2199814319610596": 142, "21e": 147, "21it": 147, "21mb": 134, "22": [134, 138, 142, 147, 149, 151, 153, 154, 158], "2200047969818115": 142, "22003": 142, "220033884048462": 142, "2200343608856201": 142, "22007": 142, "22009": 142, "2200982570648193": 142, "2201": [142, 151], "220102787017822": 142, "220149040222168": 142, "22018": 142, "220218658447266": 142, "2202656269073486": 142, "22027": 142, "220271110534668": 142, "220275640487671": 142, "22029": 142, "2202935218811035": 142, "22033": 142, "2203469276428223": 142, "22035": 142, "2203567028045654": 142, "22036": 142, "2203917503356934": 142, "2204": 142, "22040": 142, "220412254333496": 142, "2204267978668213": 142, "220446049250313e": 142, "22050": 142, "2205040454864502": 142, "22052": 142, "2205595970153809": 142, "22056": 142, "2205708026885986": 142, "2205867767333984": 142, "2206": 139, "2206027507781982": 142, "22061": 142, "220614433288574": 142, "2206189632415771": 142, "220656394958496": 142, "2206776142120361": 142, "2206847667694092": 142, "2207": 142, "2207081317901611": 142, "2207145690917969": 142, "2207236289978027": 142, "22075": 142, "220777988433838": 142, "22079": 142, "220792293548584": 142, "22084": 142, "220892429351807": 142, "220907688140869": 142, "22095": 142, "2209832668304443": 142, "2210": 142, "2210001945495605": 142, "2210025787353516": 142, "2210211753845215": 142, "221026420593262": 142, "2210416793823242": 142, "2210781574249268": 142, "221083164215088": 142, "2211": 142, "221102237701416": 142, "2211484909057617": 142, "22116231918335": 142, "2212": 142, "221208095550537": 142, "2212371826171875": 142, "2212481498718262": 142, "2212729454040527": 142, "2212820053100586": 142, "22130": 142, "2213470935821533": 142, "221348285675049": 142, "221390724182129": 142, "221409559249878": 142, "22142": 142, "2214562892913818": 142, "22146": 142, "221467018127441": 142, "22147": 142, "2214856147766113": 142, "2214906215667725": 142, "22150": 142, "221510410308838": 142, "22152": 142, "2215265929698944": 142, "22154": 142, "221618890762329": 142, "221634864807129": 142, "22163987159729": 142, "22167": 142, "22168": 142, "22171": 142, "2217624187469482": 142, "22179": [129, 142], "2217903137207031": 142, "221815824508667": 142, "2218217849731445": 142, "2218608856201172": 142, "22190523147583": 142, "22191": 142, "22192": 142, "2219364643096924": 142, "2219429016113281": 142, "221968412399292": 142, "221980094909668": 142, "2219841480255127": 142, "22199": 142, "2220122814178467": 142, "222026824951172": 142, "2220354080200195": 142, "22204": 142, "222080707550049": 142, "22209": 142, "22209331090562e": 142, "2220940589904785": 142, "2221": [142, 154], "2221081256866455": 142, "22211": 142, "222141265869141": 142, "2221417427062988": 142, "222155570983887": 142, "22216": 142, "2221612930297852": 142, "222192287445068": 142, "222211837768555": 142, "2222509384155273": 142, "22227": 142, "2222704887390137": 142, "2223": 142, "22233": 142, "22236": 142, "22239": 142, "22240": 142, "222459077835083": 142, "2224841117858887": 142, "2225": 154, "222501516342163": 142, "22253": 142, "222546100616455": 142, "2225487232208252": 142, "22255": 142, "2225518226623535": 142, "22258": 142, "2225944995880127": 142, "22261": 142, "22262": 142, "2226271629333496": 142, "222646713256836": 142, "2226662635803223": 142, "22267": 142, "22268": 142, "2226951122283936": 142, "22270": 142, "222740173339844": 142, "22275": 142, "2227582931518555": 142, "2228": 154, "2228341102600098": 142, "22284": 142, "2228660583496094": 142, "22287": 142, "222886562347412": 142, "22289": 142, "2228920459747314": 142, "2228989601135254": 142, "2229077816009521": 142, "2229149341583252": 142, "2229208946228027": 142, "22295": 142, "22300": 142, "22302": 142, "22304": 142, "223046779632568": 142, "22307": 142, "2230794429779053": 142, "22309": 142, "2231": 142, "2231075763702393": 142, "22312": 142, "22315": 142, "22318": 142, "2231838703155518": 142, "22320": 142, "223206043243408": 142, "223217248916626": 142, "223249435424805": 142, "223287582397461": 142, "22332": 142, "2233302593231201": 142, "223362922668457": 142, "22337": 142, "22340726852417": 142, "22343111038208": 142, "22344": 142, "2235119342803955": 142, "2235305309295654": 142, "22356": 142, "223566055297852": 142, "223588466644287": 142, "2235934734344482": 142, "2236387729644775": 142, "223687171936035": 142, "2236907482147217": 142, "223707914352417": 142, "223710536956787": 142, "2237136363983154": 142, "223724842071533": 142, "22375": 142, "2237730026245117": 142, "2237982749938965": 142, "223811626434326": 142, "223841667175293": 142, "22386": 142, "2238678932189941": 142, "2238998413085938": 142, "223902225494385": 142, "223916053771973": 142, "2239353656768799": 142, "223944902420044": 142, "22396": 142, "224": 142, "2240142822265625": 142, "224031925201416": 142, "224167346954346": 142, "224169731140137": 142, "22418": 142, "2242": 142, "224226951599121": 142, "2242441177368164": 142, "22426": 142, "2242722511291504": 142, "2242777347564697": 142, "2243": 142, "224308490753174": 142, "2243192195892334": 142, "22434": 142, "2243545055389404": 142, "2243592739105225": 142, "22444": 142, "2244489192962646": 142, "2244532108306885": 142, "224471569061279": 142, "224487543106079": 142, "2245": [142, 154], "22451": 142, "2245347499847412": 142, "2245473861694336": 142, "224562168121338": 142, "2246198654174805": 142, "2246203422546387": 142, "22463": 142, "22466": 142, "2246785163879395": 142, "22469": 142, "224698543548584": 142, "224710464477539": 142, "22473": 142, "22477": 142, "22478": 142, "22481": 142, "224813461303711": 142, "2248196601867676": 142, "22483": 142, "224869251251221": 142, "2248890399932861": 142, "22489": 142, "2249": 147, "22490": 142, "22493": 142, "2250": 142, "2250192165374756": 142, "22502": 142, "22503": 142, "2250492572784424": 142, "22506": 142, "2250733375549316": 142, "22510": 142, "2251911163330078": 142, "22519850730896": 142, "2252044677734375": 142, "22522": 142, "2252471446990967": 142, "2252650260925293": 142, "225276231765747": 142, "2252869606018066": 142, "22529": 142, "225290298461914": 142, "225397109985352": 142, "2254018783569336": 142, "2254095077514648": 142, "22546": 142, "2254610061645508": 142, "225477695465088": 142, "2254867553710938": 142, "2254974842071533": 142, "2255241870880127": 142, "22555": 142, "225569486618042": 142, "2256152629852295": 142, "225635051727295": 142, "22565": 142, "22566": 142, "22568": 142, "22569465637207": 142, "2257": 154, "2257425785064697": 142, "225779056549072": 142, "2257840633392334": 142, "2257916927337646": 142, "2257e": 147, "2258": 142, "22580": 142, "225827932357788": 142, "2258493900299072": 142, "22585": 142, "2258563041687012": 142, "225903034210205": 142, "2259256839752197": 142, "2259550094604492": 142, "22596": 142, "225998878479004": 142, "225g": 129, "226": 142, "2260": 142, "22600": 142, "2260050773620605": 142, "22602": 142, "226036548614502": 142, "2260520458221436": 142, "22607": 142, "2260727882385254": 142, "226102352142334": 142, "226109981536865": 142, "226119041442871": 142, "22613": 142, "2261321544647217": 142, "226149082183838": 142, "22617": 142, "22619": 142, "22619104385376": 142, "22625": 142, "2263": 142, "22630": 142, "22631": 142, "22633633": [147, 149], "22636": 142, "22637": 142, "22637939453125": 142, "22640": 142, "22642": 142, "2264573574066162": 142, "22646": 142, "2264683246612549": 142, "2265193462371826": 142, "2265698909759521": 142, "22658": 142, "2265896797180176": 142, "2266175746917725": 142, "22662": 142, "2266364097595215": 142, "2266602516174316": 142, "2267": 147, "2267258167266846": 142, "2267546653747559": 142, "2267751693725586": 142, "226810455322266": 142, "22682": 142, "2268335819244385": 142, "226844072341919": 142, "2268767356872559": 142, "22691": 142, "22692": 142, "22693": 142, "2269442081451416": 142, "2269768714904785": 142, "2269926071166992": 142, "22700": 142, "22700309753418": 142, "22701": 142, "227015018463135": 142, "22704": 142, "2270507008": 158, "22706": 142, "2270901203155518": 142, "2271": 142, "22712": 142, "227139472961426": 142, "2271409034729004": 142, "2271463871002197": 142, "22717": 142, "227172613143921": 142, "2271885871887207": 142, "22721": 142, "22722": 142, "22725": 142, "22731": 142, "22735": 142, "22736": 142, "2273879051208496": 142, "227392196655273": 142, "2274293899536133": 142, "22745": 142, "2274523973464966": 142, "227455139160156": 142, "2274627685546875": 142, "2274765968322754": 142, "22749": 142, "2274999618530273": 142, "2275185585021973": 142, "2275404930114746": 142, "2275590896606445": 142, "2275702953338623": 142, "22758150100708": 142, "2275869846343994": 142, "227652072906494": 142, "227669": 156, "2276782989501953": 142, "22769": 142, "2277090549468994": 142, "227728843688965": 142, "22774037": 147, "22775": 142, "2277579307556152": 142, "227758884429932": 142, "2277982234954834": 142, "227825164794922": 142, "2278382778167725": 142, "22784": 142, "2278573513031006": 142, "22787": 142, "2279019355773926": 142, "22792": 142, "22793": 142, "22795": 142, "2279679775238037": 142, "228": 142, "2280": 142, "2280089855194092": 142, "22803": 142, "228038787841797": 142, "2280454635620117": 142, "2280693054199219": 142, "2280941009521484": 142, "228109836578369": 142, "22811": 142, "22812": 142, "2281427383422852": 142, "228152751922607": 142, "2281575202941895": 142, "22817": 142, "2281875610351562": 142, "2282": 142, "2282075881958008": 142, "2282395362854": 142, "228241205215454": 142, "2283856868743896": 142, "228391170501709": 142, "2284018993377686": 142, "2284746170043945": 142, "228477954864502": 142, "22848": [134, 142], "2285": 142, "2285027503967285": 142, "22853": 142, "22855": 142, "22856": 142, "22857": 142, "2285871505737305": 142, "22862": 142, "22864": 142, "22865": 142, "228670597076416": 142, "22871": 142, "22872": 142, "228729486465454": 142, "2287421226501465": 142, "2287490367889404": 142, "2287514209747314": 142, "2287631034851074": 142, "22877": 142, "2287802696228027": 142, "22881": 142, "2288763523101807": 142, "22889": 142, "2289090156555176": 142, "2289235591888428": 142, "22897": 142, "229": 142, "2290246486663818": 142, "22904": 142, "22908": 142, "2290830612182617": 142, "22909": 142, "2291": 142, "229118824005127": 142, "22914": 142, "229149341583252": 142, "2291617393493652": 142, "2291913032531738": 142, "229210376739502": 142, "22922": 142, "22924": 142, "2292518615722656": 142, "2293": 142, "229303359985352": 142, "22931432723999": 142, "22934": 142, "22936": 142, "2293e": 147, "2294": [142, 147], "22941": 142, "2294135093688965": 142, "2294397354125977": 142, "229444980621338": 142, "22945": 142, "22947": 142, "2294847965240479": 142, "2295": 142, "22950": 142, "2295007705688477": 142, "2295382022857666": 142, "22956": 142, "2295799255371094": 142, "2296": 142, "2296249866485596": 142, "2296819686889648": 142, "2296900749206543": 142, "2297065258026123": 142, "229720115661621": 142, "22975": 142, "2297618389129639": 142, "22977": 142, "22978": 142, "2297956943511963": 142, "2298": 154, "22982": 142, "2298204898834229": 142, "229832649230957": 142, "2298469543457031": 142, "2298645973205566": 142, "229924201965332": 142, "229984998703003": 142, "22e": 147, "22it": [134, 147], "22m": 134, "23": [36, 133, 134, 142, 147, 149, 151, 153, 154, 158], "2300467491149902": 142, "230049133300781": 142, "23005": 142, "2300801277160645": 142, "2300865650177002": 142, "2301": 142, "230100154876709": 142, "2301087379455566": 142, "23012": 142, "2301268577575684": 142, "2301335334777832": 142, "230149745941162": 142, "230162620544434": 142, "2301678657531738": 142, "2301700115203857": 142, "2302": 142, "23026": 142, "2302985191345215": 142, "2303037643432617": 142, "23033": 142, "23034": 142, "23037": 142, "230372428894043": 142, "2304048538208008": 142, "230413436889648": 142, "230426549911499": 142, "2304761409759521": 142, "23049": 142, "2305": 142, "2305047512054443": 142, "2305223941802979": 142, "2305240631103516": 142, "230527639389038": 142, "2305412292480469": 142, "23055": 142, "23059": 142, "2306": 142, "23065": 142, "2306678295135498": 142, "23067": 142, "230672": 132, "2306885719299316": 142, "2306969165802002": 142, "230782985687256": 142, "2307939529418945": 142, "230833053588867": 142, "2308471202850342": 142, "230865001678467": 142, "230881452560425": 142, "230919361114502": 142, "2309205532073975": 142, "230947971343994": 142, "231": [133, 134], "231003284454346": 142, "2310473918914795": 142, "2310502529144287": 142, "231086015701294": 142, "2310996055603027": 142, "2311": [131, 139], "23127083480358124": 142, "2312743663787842": 142, "2313323020935059": 142, "2313659191131592": 142, "2314176559448242": 142, "2314200401306152": 142, "231421947479248": 142, "2314496040344238": 142, "231480121612549": 142, "23152": 142, "23157": 142, "23159": 142, "23162": 142, "23163": 142, "2316362857818604": 142, "23164": 142, "23167": 142, "231670379638672": 142, "231706142425537": 142, "2317214012145996": 142, "2317306995391846": 142, "23174": 142, "23176": 142, "2317601442337036": 142, "23179": 142, "23179030418396": 142, "2317917346954346": 142, "2318": 142, "231834411621094": 142, "2318360805511475": 142, "2318546772003174": 142, "23186": 142, "2318720817565918": 142, "231884416533572": 142, "231884416533573": 142, "231884416533574": 142, "231884416533575": 142, "231884479522705": 142, "2319": 142, "23193": 142, "231945514678955": 142, "2319645881652832": 142, "231968879699707": 142, "23197603225708": 142, "232": 133, "2320256233215332": 142, "2320332527160645": 142, "2320384979248047": 142, "23204": 142, "232043981552124": 142, "23206": 142, "23209": 142, "232137680053711": 142, "23214": 142, "232154130935669": 142, "2321608066558838": 142, "23217": 142, "2321724891662598": 142, "2322": 142, "2322003841400146": 142, "232231616973877": 142, "2322413921356201": 142, "232259750366211": 142, "2322723865509033": 142, "23228": 142, "23229": 142, "232292652130127": 142, "23230": 142, "2323431968688965": 142, "232350826263428": 142, "23240": 142, "23241": 142, "2324247360229492": 142, "23253": 142, "2326": 147, "2326014041900635": 142, "232621431350708": 142, "2326266765594482": 142, "2326629161834717": 142, "23269": 142, "2327": 142, "2327256202697754": 142, "2327301502227783": 142, "23275": 142, "2327728271484375": 142, "23279": 142, "232794761657715": 142, "232795": 154, "2328593730926514": 142, "23287": 142, "23289": 142, "2328965663909912": 142, "23290": 142, "2329065799713135": 142, "23291": 142, "2329261302947998": 142, "23295": 142, "232957363128662": 142, "232970952987671": 142, "232975721359253": 142, "23299": 142, "2329976558685303": 142, "232g": 131, "233": 133, "2330": [142, 147], "233039855957031": 142, "23304": 142, "2330570220947266": 142, "233081579208374": 142, "23309": 142, "2331030368804932": 142, "23318": 142, "2331886291503906": 142, "2331929206848145": 142, "2332048416137695": 142, "2332546710968018": 142, "2332892417907715": 142, "233327865600586": 142, "2334318161010742": 142, "233440637588501": 142, "233452558517456": 142, "233468770980835": 142, "233506679534912": 142, "233509540557861": 142, "2335395812988281": 142, "23355": 142, "233565330505371": 142, "2335691452026367": 142, "2336": 154, "23363": 142, "233656883239746": 142, "233691215515137": 142, "2337": 142, "233725070953369": 142, "2337286472320557": 142, "233776569366455": 142, "2337801456451416": 142, "2338922023773193": 142, "2339": 142, "23390": 142, "2339019775390625": 142, "23392": 142, "23396": 142, "23397": 142, "234": [133, 147], "234048843383789": 142, "2340593338012695": 142, "23406": 142, "23408": 142, "2340881824493408": 142, "234095573425293": 142, "234119176864624": 142, "234135389328003": 142, "23414": 142, "234173059463501": 142, "23418": 142, "2342195510864258": 142, "2342329025268555": 142, "23425": 142, "234266757965088": 142, "2342705726623535": 142, "234276294708252": 142, "2343051433563232": 142, "23434": 142, "2343418598175049": 142, "234391212463379": 142, "2344155311584473": 142, "234419822692871": 142, "23442": 142, "2344367504119873": 142, "234459400177002": 142, "234466791152954": 142, "2344677448272705": 142, "2344698905944824": 142, "2346": 142, "2346477508544922": 142, "23465": 142, "2346844673156738": 142, "2346e": 147, "23471": 142, "23472": 142, "23474": 142, "234752655029297": 142, "23475752770900726": 142, "2348": 142, "23484": 142, "2348473072052002": 142, "234856367111206": 142, "23486": 142, "2349": 142, "2349278926849365": 142, "2349419593811035": 142, "234952449798584": 142, "23499": 142, "234999418258667": 142, "235": 147, "2350192070007324": 142, "235048532485962": 142, "235072135925293": 142, "23513": 142, "2351579666137695": 142, "235168695449829": 142, "23522424697876": 142, "235241413116455": 142, "2352643013000488": 142, "2352705001831055": 142, "2353286743164062": 142, "23533": 142, "23538": 142, "23539": 142, "2354": 142, "23541259765625": 142, "2354137897491455": 142, "235438346862793": 142, "2354435920715332": 142, "23544454574585": 142, "2355051040649414": 142, "2355060577392578": 142, "2355077266693115": 142, "23552131652832": 142, "2356": 147, "2356021404266357": 142, "2356135845184326": 142, "2356255054473877": 142, "2356281280517578": 142, "2357771396636963": 142, "235785484313965": 142, "235787391662598": 142, "2358551025390625": 142, "235865592956543": 142, "2358779907226562": 142, "2358801364898682": 142, "2359156608581543": 142, "23596715927124": 142, "2359726428985596": 142, "236": 133, "2360": 142, "2360053062438965": 142, "236043453216553": 142, "2360758781433105": 142, "2360775470733643": 142, "2360799312591553": 142, "2361": 142, "2361106872558594": 142, "2361717224121094": 142, "236220359802246": 142, "2362494468688965": 142, "2363": [134, 142], "236307621002197": 142, "2363336086273193": 142, "2363462448120117": 142, "236380100250244": 142, "2363953590393066": 142, "2364203929901123": 142, "23642045": [147, 149], "236426591873169": 142, "23649263381958": 142, "2365": 154, "2365014553070068": 142, "2365598678588867": 142, "2365665435791016": 142, "2365851402282715": 142, "2366": 154, "236635684967041": 142, "2366459369659424": 142, "2367095947265625": 142, "236713171005249": 142, "2367477416992188": 142, "2367961406707764": 142, "2368590831756592": 142, "236865758895874": 142, "2368760108947754": 142, "236891269683838": 142, "2369": [142, 151], "2369489669799805": 142, "23697": 142, "236971378326416": 142, "236fe4e950aa2fbdde94ef2821fb48d2": 129, "237": 133, "2370214462280273": 142, "2370226383209229": 142, "23704": 142, "23705": 142, "237058401107788": 142, "23706": 142, "237083435058594": 142, "2371": [142, 147, 149], "23713": 142, "23714": 142, "237187147140503": 142, "237273693084717": 142, "2373153269290924": 142, "23739": 142, "2374463081359863": 142, "2374682426452637": 142, "237508296966553": 142, "2375390952001908e": 142, "237542629241943": 142, "237551212310791": 142, "2375526428222656": 142, "237554550170898": 142, "2375664710998535": 142, "237579345703125": 142, "23759": 142, "237597942352295": 142, "237668991088867": 142, "2376861572265625": 142, "2377": [142, 147, 149], "2377803325653076": 142, "2378363609313965": 142, "2378458976745605": 142, "237889766693115": 142, "2379": 142, "2379810810089111": 142, "238": [142, 147], "2380180358886719": 142, "238025426864624": 142, "238026142120361": 142, "238053321838379": 142, "2380642890930176": 142, "2381083965301514": 142, "2381086349487305": 142, "238110065460205": 142, "2381153106689453": 142, "2381291389465332": 142, "238132953643799": 142, "2381362915039062": 142, "2381420135498047": 142, "238180160522461": 142, "238238334655762": 142, "23827": 142, "2382855415344238": 142, "2383482456207275": 142, "2383708953857422": 142, "2384052276611328": 142, "238447": 154, "2384490966796875": 142, "2384727001190186": 142, "2384862899780273": 142, "23850": 142, "2385141849517822": 142, "2385427951812744": 142, "2385470867156982": 142, "238572597503662": 142, "23859": 142, "23860": 142, "238611221313477": 142, "2386236190795898": 142, "2386608123779297": 142, "23870": 142, "2387175559997559": 142, "2387986183166504": 142, "2388274669647217": 142, "238891363143921": 142, "238913536071777": 142, "2389187812805176": 142, "2389416694641113": 142, "2389490604400635": 142, "2389857769012451": 142, "238999843597412": 142, "239": 147, "2390005588531494": 142, "2390813827514648": 142, "2391188144683838": 142, "23918": 142, "2391822338104248": 142, "23922": 142, "2392733097076416": 142, "23929500579834": 142, "2393": 142, "2393276691436768": 142, "23933": 142, "2393372058868408": 142, "2393717765808105": 142, "2394165992736816": 142, "23949": 142, "2395": 142, "23951530456543": 142, "23954": 142, "2395429611206055": 142, "2395446300506592": 142, "239621877670288": 142, "239648342132568": 142, "2396633625030518": 142, "239671230316162": 142, "2396745681762695": 142, "239685297012329": 142, "2396905422210693": 142, "239694595336914": 142, "2397031784057617": 142, "2397332191467285": 142, "239769458770752": 142, "23977": 142, "2398": 142, "2398775815963745": 142, "2398874759674072": 142, "2399": 142, "23e": 147, "23it": 147, "23m": 134, "24": [134, 142, 147, 149, 154], "240": 134, "2400": 142, "2400405406951904": 142, "2400665283203125": 142, "2400834560394287": 142, "2400870323181152": 142, "240100383758545": 142, "240169": [147, 149], "2401952743530273": 142, "2402": 142, "240210056304932": 142, "2402291297912598": 142, "2402398586273193": 142, "2402534484863281": 142, "240263938903809": 142, "2402689456939697": 142, "240281581878662": 142, "2402970790863037": 142, "2403": 142, "24034": 142, "2403910160064697": 142, "240396499633789": 142, "2404": 142, "2405414581298828": 142, "240542411804199": 142, "240570068359375": 142, "24062180519104": 142, "2406394481658936": 142, "2406423091888428": 142, "240654706954956": 142, "240662097930908": 142, "2406694889068604": 142, "2407312393188477": 142, "240770161151886": 142, "240793228149414": 142, "24081": 142, "24082": 142, "2408316135406494": 142, "24084": 142, "2409281730651855": 142, "2410": [142, 154], "2411": 154, "2411060333251953": 142, "241114616394043": 142, "241117477416992": 142, "24119": 142, "2411913871765137": 142, "241222858428955": 142, "2412307262420654": 142, "2412347793579102": 142, "2412495613098145": 142, "2412586212158203": 142, "241341590881348": 142, "241344690322876": 142, "2414281368255615": 142, "2414309978485107": 142, "24153470993042": 142, "24154": 142, "24155": 142, "2415783405303955": 142, "2416038513183594": 142, "24161": 142, "241652011871338": 142, "24165940284729": 142, "2416698932647705": 142, "2417523860931396": 142, "2418": 142, "2418632507324219": 142, "2418928146362305": 142, "241908311843872": 142, "2419111728668213": 142, "2419428825378418": 142, "2420": 142, "242032527923584": 142, "242062091827393": 142, "2420647144317627": 142, "242077112197876": 142, "24208": 142, "2420830726623535": 142, "2421019077301025": 142, "24210262298584": 142, "2421081066131592": 142, "2421414852142334": 142, "242195129394531": 142, "2422142028808594": 142, "2422151565551758": 142, "2422316074371338": 142, "242247581481934": 142, "2422575950622559": 142, "24226188659668": 142, "24229097366333": 142, "2422919273376465": 142, "242295503616333": 142, "242356777191162": 142, "24237": 142, "2424626350402832": 142, "2425105571746826": 142, "2425e": 147, "242613792419434": 142, "242641925811768": 142, "2426764965057373": 142, "242682933807373": 142, "242701530456543": 142, "242718458175659": 142, "2427282333374023": 142, "242746353149414": 142, "2427585124969482": 142, "242760181427002": 142, "2428064346313477": 142, "2428185939788818": 142, "2428512573242188": 142, "2428553104400635": 142, "24286": 142, "2428615093231201": 142, "24287": 142, "242878437042236": 142, "2428889274597168": 142, "24289": 142, "24290": 142, "24292": 142, "2429203987121582": 142, "2429580688476562": 142, "2429e": 147, "2430": 142, "2430005073547363": 142, "243005752563477": 142, "243029594421387": 142, "243032455444336": 142, "243084907531738": 142, "2431793212890625": 142, "2432315349578857": 142, "243286609649658": 142, "2433242797851562": 142, "2433249950408936": 142, "2433891296386719": 142, "2434": 142, "243452787399292": 142, "2434577941894531": 142, "2434754371643066": 142, "2435059547424316": 142, "2436587810516357": 142, "243715286254883": 142, "24373197555542": 142, "2437760829925537": 142, "2437825202941895": 142, "2437913417816162": 142, "243840217590332": 142, "243868350982666": 142, "2438926696777344": 142, "2439": 142, "2439367771148682": 142, "2439591884613037": 142, "2439899444580078": 142, "244039535522461": 142, "2440710067749023": 142, "2440855503082275": 142, "2441184520721436": 142, "244166612625122": 142, "2441723346710205": 142, "244213581085205": 142, "24428": 142, "2443": 154, "2443242073059082": 142, "244409561157227": 142, "2444355487823486": 142, "244443893432617": 142, "244461": 147, "2444920539855957": 142, "2444953918457031": 142, "2445552349090576": 142, "2446484565734863": 142, "244699478149414": 142, "2447": 142, "244718074798584": 142, "244755268096924": 142, "2447915077209473": 142, "2447929382324219": 142, "244840145111084": 142, "2448580265045166": 142, "2448701858520508": 142, "2449": 142, "2449440956115723": 142, "244957685470581": 142, "2449901103973389": 142, "2450": 142, "2450551986694336": 142, "2450783252716064": 142, "2451": 142, "2451262474060059": 142, "245140552520752": 142, "24517": 142, "2452378273010254": 142, "2452449798583984": 142, "2452762126922607": 142, "2453227043151855": 142, "2453463077545166": 142, "245357036590576": 142, "2453978061676025": 142, "2454": 142, "245441436767578": 142, "245473861694336": 142, "2454888820648193": 142, "2455": 142, "2455072402954102": 142, "2455241680145264": 142, "2455272674560547": 142, "2455942630767822": 142, "245616436004639": 142, "245691776275635": 142, "245728969573975": 142, "245734453201294": 142, "24573558568954468": 142, "245741844177246": 142, "245807409286499": 142, "2458469867706299": 142, "2458481788635254": 142, "2458882331848145": 142, "2460072040557861": 142, "2460522651672363": 142, "246079921722412": 142, "2461": 142, "2461442947387695": 142, "2461521625518799": 142, "2462821006774902": 142, "24629020690918": 142, "2463114261627197": 142, "2463693618774414": 142, "2463784217834473": 142, "246415615081787": 142, "246436595916748": 142, "246453046798706": 142, "246455192565918": 142, "2464797496795654": 142, "246494293212891": 142, "24650": 142, "246506929397583": 142, "246540069580078": 142, "246553897857666": 142, "246654748916626": 142, "2467396259307861": 142, "2467608451843262": 142, "2467827796936035": 142, "2467987537384033": 142, "2468397617340088": 142, "246859073638916": 142, "246869295835495": 142, "2469": 142, "246937274932861": 142, "2469475269317627": 142, "24699068069458": 142, "247": 134, "2470157146453857": 142, "247125625610352": 142, "2471826076507568": 142, "24719": 142, "2472031116485596": 142, "24721": 142, "2472155094146729": 142, "24722": 142, "24723": 142, "2472329139709473": 142, "24726": 142, "24728": 142, "2472865581512451": 142, "2473": 142, "247320175170898": 142, "2473349571228027": 142, "24733567237854": 142, "2473390102386475": 142, "2473907470703125": 142, "2474029064178467": 142, "247440814971924": 142, "24747": 142, "2474913597106934": 142, "2474968433380127": 142, "2475206851959229": 142, "2475430965423584": 142, "2475810050964355": 142, "2476203441619873": 142, "247640609741211": 142, "2476751804351807": 142, "247676134109497": 142, "2478": 142, "2478244304656982": 142, "247847080230713": 142, "247988224029541": 142, "2479898929595947": 142, "248": 142, "2480": 142, "2480413913726807": 142, "24809": 142, "2481558322906494": 142, "2481787204742432": 142, "248183012008667": 142, "24822": 142, "2482304573059082": 142, "2482495307922363": 142, "2482671737670898": 142, "24827241897583": 142, "2483272552490234": 142, "2483785152435303": 142, "2483859062194824": 142, "2484190464019775": 142, "248422622680664": 142, "2484354972839355": 142, "2485008239746094": 142, "2485151290893555": 142, "2485504150390625": 142, "2486164569854736": 142, "2486305236816406": 142, "248636245727539": 142, "2486703395843506": 142, "2486827373504639": 142, "248683929443359": 142, "2487359046936035": 142, "2487401962280273": 142, "2488231658935547": 142, "2489": 154, "2489089965820312": 142, "248999834060669": 142, "249": 142, "2490": [142, 147, 149], "2490026950836182": 142, "249086856842041": 142, "2490906715393066": 142, "249110221862793": 142, "249133586883545": 142, "2492156028747559": 142, "2492179870605469": 142, "2492260932922363": 142, "2492372989654541": 142, "2492964267730713": 142, "2493": 154, "24930": 129, "24931": 129, "249330759048462": 142, "249342441558838": 142, "24936": 129, "2493605613708496": 142, "2493672370910645": 142, "2493705749511719": 142, "2493817806243896": 142, "24943": 129, "2494370937347412": 142, "24946": 129, "24948": 129, "249499797821045": 142, "249507427215576": 142, "24951": 129, "2495133876800537": 142, "24961": 129, "24963": 129, "24965": 129, "24966": 129, "24967": 129, "249686241149902": 142, "2497293949127197": 142, "2497453689575195": 142, "2497968673706055": 142, "2498056888580322": 142, "2498273849487305": 142, "24985": 129, "2498576641082764": 142, "24986": 129, "24987": 129, "24988": 129, "249887228012085": 142, "249910": [147, 149], "2499265670776367": 142, "2499775886535645": 142, "24e": 147, "24it": 134, "24m": 134, "24mb": 134, "25": [13, 134, 142, 145, 147, 149, 153, 154, 158], "250": [132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "2500": 142, "2500052452087402": 142, "250011682510376": 142, "2500643730163574": 142, "2500851154327393": 142, "2501702308654785": 142, "25021505355835": 142, "2502293586730957": 142, "250244379043579": 142, "250251054763794": 142, "2503": 142, "2503032684326172": 142, "2503385543823242": 142, "250344": 147, "2504098415374756": 142, "250560760498047": 142, "2505865097045898": 142, "250641345977783": 142, "2506921291351318": 142, "2507": 142, "2507219314575195": 142, "250749588012695": 142, "2508032321929932": 142, "250826358795166": 142, "2508389949798584": 142, "250927925109863": 142, "2509915828704834": 142, "2509958744049072": 142, "2509996891021729": 142, "251": 145, "2510": 142, "2510347366333008": 142, "251135349273682": 142, "25115": 134, "2511615753173828": 142, "2511928081512451": 142, "2511935234069824": 142, "2512": [142, 147, 149], "2512195110321045": 142, "2512357234954834": 142, "251245021820068": 142, "2512452602386475": 142, "2513": 142, "251356840133667": 142, "2514030933380127": 142, "2514398097991943": 142, "2514822483062744": 142, "25148606300354": 142, "2515": 142, "251549482345581": 142, "2515947818756104": 142, "2516": 142, "2516849040985107": 142, "2517": 142, "251717567443848": 142, "25174662753": 154, "2517483234405518": 142, "2517662048339844": 142, "2517714500427246": 142, "251779079437256": 142, "2517940998077393": 142, "2518508434295654": 142, "2518641948699951": 142, "25187873840332": 142, "2519237995147705": 142, "2519395351409912": 142, "252042770385742": 142, "2521543502807617": 142, "252161979675293": 142, "252242088317871": 142, "2522449195384979": 142, "252316951751709": 142, "2523677349090576": 142, "2524893283843994": 142, "2525038719177246": 142, "252561092376709": 142, "2525947093963623": 142, "252658367156982": 142, "2526e": 147, "2527270317077637": 142, "252739429473877": 142, "2527611255645752": 142, "252762317657471": 142, "2527990341186523": 142, "2528467178344727": 142, "2528936862945557": 142, "2529325485229492": 142, "2529380321502686": 142, "2529418468475342": 142, "2529575824737549": 142, "2529873847961426": 142, "253": 142, "253054141998291": 142, "2531328201293945": 142, "2531442642211914": 142, "25316047668457": 142, "2531654834747314": 142, "253166913986206": 142, "2531936168670654": 142, "2532": [147, 149], "2532169818878174": 142, "253324270248413": 142, "253335952758789": 142, "25333833694458": 142, "2534": 142, "2534332275390625": 142, "253523349761963": 142, "253535270690918": 142, "2536": 154, "25364351272583": 142, "253650188446045": 142, "253718376159668": 142, "2537484169006348": 142, "253790378570557": 142, "2538909912109375": 142, "253955602645874": 142, "253993034362793": 142, "2540": 142, "2540204524993896": 142, "2540974617004395": 142, "254098": 147, "25413179397583": 142, "2541635036468506": 142, "2542297840118408": 142, "2542839050292969": 142, "2542943954467773": 142, "2543": [147, 149], "2543530464172363": 142, "25436416268348694": 142, "254380226135254": 142, "254404067993164": 142, "254420518875122": 142, "2544736862182617": 142, "254478931427002": 142, "254485845565796": 142, "2544958591461182": 142, "2545208930969238": 142, "2545554637908936": 142, "2545630931854248": 142, "2546823024749756": 142, "25469": 142, "2547202110290527": 142, "25477933883667": 142, "2548012733459473": 142, "254833221435547": 142, "2548446655273438": 142, "2548539638519287": 142, "2548749446868896": 142, "2548980712890625": 142, "2549431324005127": 142, "255": [142, 147], "2550015449523926": 142, "255021095275879": 142, "2550766468048096": 142, "255100250244141": 142, "255110740661621": 142, "2551136016845703": 142, "2551419734954834": 142, "2551615238189697": 142, "2551796436309814": 142, "25518080": 158, "2552521228790283": 142, "2552564144134521": 142, "2552595138549805": 142, "2552919387817383": 142, "2553503513336182": 142, "2554": 142, "255483865737915": 142, "2555232048034668": 142, "25553297996521": 142, "255538940429688": 142, "2555701732635498": 142, "2557": 142, "255708932876587": 142, "2557647228240967": 142, "255812644958496": 142, "255873441696167": 142, "255908727645874": 142, "2559354305267334": 142, "2559614181518555": 142, "25597": 153, "256": [32, 51, 52, 101, 103, 132, 147, 156, 157], "2560": 142, "25602": 153, "2560439109802246": 142, "2561335563659668": 142, "2561850547790527": 142, "256190538406372": 142, "2562": 142, "256200790405273": 142, "2562716007232666": 142, "2563371658325195": 142, "2563655376434326": 142, "2563714981079102": 142, "2563908100128174": 142, "2564404010772705": 142, "2564802169799805": 142, "2564904689788818": 142, "2565": 142, "2565200328826904": 142, "2565860748291016": 142, "2566180229187012": 142, "2567057609558105": 142, "256727933883667": 142, "2568": 142, "2568368911743164": 142, "256840467453003": 142, "2568929195404053": 142, "2569": 154, "2569034099578857": 142, "2569081783294678": 142, "256937503814697": 142, "2569634914398193": 142, "2569911479949951": 142, "257": 147, "2570044994354248": 142, "2570072114467621": 142, "2570085525512695": 142, "2571372985839844": 142, "25722074508667": 142, "2572708129882812": 142, "257282257080078": 142, "257295608520508": 142, "2573180198669434": 142, "2573540210723877": 142, "257357120513916": 142, "2573838233947754": 142, "2574503421783447": 142, "25747182965278625": 142, "2574865818023682": 142, "257512092590332": 142, "257532119750977": 142, "257533550262451": 142, "2575347423553467": 142, "2576": 142, "257688045501709": 142, "257702350616455": 142, "2577061427533853": 142, "257706142753386": 142, "2577061653137207": 142, "2577340602874756": 142, "2577514946460724": 142, "257784366607666": 142, "2578": 142, "2578797340393066": 142, "2579023838043213": 142, "258": [132, 147, 157], "258037805557251": 142, "2581": 154, "2581026554107666": 142, "2582": 142, "258207321166992": 142, "2582135200500488": 142, "2582159042358398": 142, "2582457065582275": 142, "2582616806030273": 142, "2582826614379883": 142, "2582883834838867": 142, "2583": 142, "2583017349243164": 142, "258316993713379": 142, "258317232131958": 142, "2583916187286377": 142, "258465051651001": 142, "258475303649902": 142, "2584774494171143": 142, "2585482597351074": 142, "2585704326629639": 142, "2585711479187012": 142, "258679389953613": 142, "2586982250213623": 142, "2587504386901855": 142, "258753776550293": 142, "2587783336639404": 142, "2588": 142, "2588226795196533": 142, "258849143981934": 142, "2588934898376465": 142, "258893966674805": 142, "2589": 147, "258906602859497": 142, "2589178085327148": 142, "2589788436889648": 142, "259": 142, "2590019702911377": 142, "2590079307556152": 142, "2590546607971191": 142, "259110689163208": 142, "259133338928223": 142, "2592": [142, 147, 149], "2592294216156006": 142, "259244441986084": 142, "2593": 142, "2593064308166504": 142, "259313583374023": 142, "259444236755371": 142, "259481430053711": 142, "2595412731170654": 142, "2596214": 147, "259674072265625": 142, "2597": 142, "25972843170166": 142, "259779453277588": 142, "2598": 142, "259823322296143": 142, "259825706481934": 142, "259847640991211": 142, "2599389553070068": 142, "2599694728851318": 142, "2599759101867676": 142, "2599849700927734": 142, "25e": 147, "25it": [134, 138], "25k": [129, 147], "25m": 134, "26": [134, 139, 142, 145, 147, 148, 149, 151, 153, 154], "260": 147, "2600102424621582": 142, "2601470947265625": 142, "2601792812347412": 142, "260195732116699": 142, "2602": [147, 149], "2602479457855225": 142, "2602763175964355": 142, "2602782249450684": 142, "2602951526641846": 142, "2603051662445068": 142, "2603495121002197": 142, "2603747844696045": 142, "2603864669799805": 142, "2604031562805176": 142, "2604389190673828": 142, "260467529296875": 142, "2604732513427734": 142, "260476589202881": 142, "26052713394165": 142, "2605304718017578": 142, "2605750560760498": 142, "2605881690979004": 142, "2606067657470703": 142, "260648727416992": 142, "260692596435547": 142, "2607488632202148": 142, "2610": 154, "2610540390014648": 142, "261061429977417": 142, "261063814163208": 142, "261087417602539": 142, "2611255645751953": 142, "2611894607543945": 142, "2612": 142, "2612271308898926": 142, "261282205581665": 142, "2612905502319336": 142, "2614": 142, "2614142894744873": 142, "261460542678833": 142, "261514663696289": 142, "261565685272217": 142, "2615725994110107": 142, "2615816593170166": 142, "2615966796875": 142, "2616662979125977": 142, "2616856098175049": 142, "261699199676514": 142, "261707782745361": 142, "2617511749267578": 142, "2618019580841064": 142, "2618038654327393": 142, "261821985244751": 142, "2619": 147, "262": [132, 157], "2620117664337158": 142, "2620518207550049": 142, "2620551586151123": 142, "26207971572876": 142, "262223482131958": 142, "2622344493865967": 142, "2622969150543213": 142, "2623": 142, "2623167037963867": 142, "2623395919799805": 142, "2624688148498535": 142, "2624788284301758": 142, "2624924182891846": 142, "2625272274017334": 142, "2625579833984375": 142, "262563943862915": 142, "2626": 142, "2626382112503052": 142, "2626543045043945": 142, "2626571655273438": 142, "262662410736084": 142, "2628300189971924": 142, "26289701461792": 142, "262984037399292": 142, "2630116939544678": 142, "2630202770233154": 142, "2631080150604248": 142, "2631278038024902": 142, "2631964683532715": 142, "26320481300354": 142, "263211727142334": 142, "263239860534668": 142, "2633445262908936": 142, "263361930847168": 142, "26336330e": [147, 149], "2634": 142, "2634057998657227": 142, "2634611129760742": 142, "263476848602295": 142, "2634952068328857": 142, "2635443210601807": 142, "2636444568634033": 142, "2636523246765137": 142, "2637": 142, "263724327087402": 142, "2637619972229": 142, "263842000000002": 153, "2638907432556152": 142, "2638964653015137": 142, "2639210224151611": 142, "2639522552490234": 142, "264": 153, "2640111446380615": 142, "2640228271484375": 142, "2640612125396729": 142, "2641": 147, "2641630172729492": 142, "2642": 142, "264229774475098": 142, "2642419338226318": 142, "2642624378204346": 142, "2643": 142, "2643706798553467": 142, "2644703388214111": 142, "2644946575164795": 142, "2645149230957031": 142, "2646112442016602": 142, "26467227935791": 142, "2647": 142, "264711856842041": 142, "2647457122802734": 142, "2647552490234375": 142, "2648": 142, "2648019790649414": 142, "2648985385894775": 142, "2649": 142, "264948844909668": 142, "2649788856506348": 142, "265": 142, "2650": 142, "265005350112915": 142, "2650134563446045": 142, "2650525569915771": 142, "265061855316162": 142, "2651383876800537": 142, "2651757597923279": 142, "265211582183838": 142, "2652175426483154": 142, "2652311325073242": 142, "2652506828308105": 142, "2652966976165771": 142, "2652997970581055": 142, "2653602659702301": 142, "2654": 142, "265467405319214": 142, "2654681205749512": 142, "2655": [147, 149], "2655017375946045": 142, "265517234802246": 142, "265528678894043": 142, "2655351161956787": 142, "2656657695770264": 142, "2656831741333008": 142, "2657735347747803": 142, "2657995223999023": 142, "2658": 142, "2658207416534424": 142, "265873908996582": 142, "265881061553955": 142, "2659704685211182": 142, "2659928798675537": 142, "266": [132, 157], "2660021781921387": 142, "2660646438598633": 142, "266080379486084": 142, "2661": [142, 154], "266135215759277": 142, "2662": 142, "266234397888184": 142, "2662687301635742": 142, "2663": 142, "2663633823394775": 142, "2663962841033936": 142, "2664318084716797": 142, "2664659023284912": 142, "2665119171142578": 142, "266528844833374": 142, "2665348052978516": 142, "266556739807129": 142, "266594409942627": 142, "2666": [147, 149], "266690731048584": 142, "2666962146759033": 142, "2666964530944824": 142, "2667": 142, "266704797744751": 142, "266737937927246": 142, "266744613647461": 142, "266776084899902": 142, "2668": 142, "2668688297271729": 142, "2668695449829102": 142, "2668895125389099": 142, "266890525817871": 142, "266996999999996": [147, 149], "266997": [147, 149], "267": [141, 142, 147], "2670": 142, "267005443572998": 142, "2671473026275635": 142, "2671890258789062": 142, "267214298248291": 142, "26721715927124": 142, "2672479152679443": 142, "2673635482788086": 142, "2673697471618652": 142, "2673840522766113": 142, "267390489578247": 142, "2674": 142, "2674329280853271": 142, "2674498558044434": 142, "2675042152404785": 142, "2675063610076904": 142, "267513751983643": 142, "2676162719726562": 142, "2676281929016113": 142, "2676506042480469": 142, "2676966190338135": 142, "2677": [142, 151], "2677326202392578": 142, "2677583694458008": 142, "2678": 142, "267808198928833": 142, "267928123474121": 142, "2679805755615234": 142, "2680654525756836": 142, "2681028842926025": 142, "2681186199188232": 142, "26814866065979": 142, "2681834697723389": 142, "2681856155395508": 142, "2681899070739746": 142, "2682461738586426": 142, "268338680267334": 142, "2685": 142, "2685027122497559": 142, "2685041427612305": 142, "2685606479644775": 142, "2685961723327637": 142, "2686": 142, "2687578201293945": 142, "2687711715698242": 142, "2688803672790527": 142, "2689785957336426": 142, "269": 147, "2690393924713135": 142, "269054651260376": 142, "2690892219543457": 142, "2690e": 148, "2691": 142, "2691617012023926": 142, "269176006317139": 142, "269217491149902": 142, "2692575454711914": 142, "2693": 142, "2693657875061035": 142, "2694649696350098": 142, "269470453262329": 142, "2695": 154, "2695260047912598": 142, "2695362567901611": 142, "2695417404174805": 142, "2696385383605957": 142, "2697343826293945": 142, "269763708114624": 142, "269767": 154, "2698": 142, "269822359085083": 142, "2699": 142, "269965410232544": 142, "2699954509735107": 142, "26e": 147, "26it": [134, 147], "27": [134, 142, 145, 147, 149, 151, 153, 154], "2700": [142, 154], "2700e": 147, "2701": [142, 154], "2701225280761719": 142, "2701399326324463": 142, "2701423168182373": 142, "2701644897460938": 142, "2701916694641113": 142, "2702178955078125": 142, "2702195644378662": 142, "2703566551208496": 142, "2703614234924316": 142, "270365238189697": 142, "2703659534454346": 142, "270366907119751": 142, "2703897953033447": 142, "2704689502716064": 142, "2705": 142, "2705209255218506": 142, "2705309391021729": 142, "2705481052398682": 142, "2705729007720947": 142, "2706842422485352": 142, "2707109451293945": 142, "270759105682373": 142, "270771026611328": 142, "2707715034484863": 142, "2709407806396484": 142, "2709479331970215": 142, "2709579467773438": 142, "271": 134, "2710440158843994": 142, "271123": 154, "2711279392242432": 142, "271165370941162": 142, "2712156772613525": 142, "27124": 142, "271252155303955": 142, "27126": 142, "271310329437256": 142, "2713987827301025": 142, "2714712619781494": 142, "271479845046997": 142, "2715": 142, "271592378616333": 142, "2716": 142, "27162": 142, "27164": 142, "27165": 142, "271651744842529": 142, "27166": 142, "27171": 142, "2717154026031494": 142, "2717175483703613": 142, "27172": 142, "27173": 142, "27176": 142, "271770715713501": 142, "27178": 142, "27181": 142, "271829128265381": 142, "271843433380127": 142, "271871089935303": 142, "2718775272369385": 142, "2719": 147, "27195": 142, "2720351219177246": 142, "27205": 142, "2720532417297363": 142, "2720744609832764": 142, "2721": 154, "2721936702728271": 142, "2722666263580322": 142, "2723605632781982": 142, "272376298904419": 142, "2723851203918457": 142, "2724015712738037": 142, "2724030017852783": 142, "27241": 142, "2725138664245605": 142, "272531270980835": 142, "27255": 142, "272556304931641": 142, "2725686717033384": 153, "2725765705108643": 142, "27258": 142, "2726": 142, "27260": 142, "2726085186004639": 142, "2726197242736816": 142, "272655963897705": 142, "272684097290039": 142, "2728": 142, "27280": 142, "2728285789489746": 142, "2728679180145264": 142, "2729": 147, "2729156017303467": 142, "2729213237762451": 142, "2729473114013672": 142, "2730": 142, "2730073928833008": 142, "2730128765106201": 142, "2730252742767334": 142, "2730340957641602": 142, "273036003112793": 142, "27304": 142, "273059368133545": 142, "273094654083252": 142, "2731": 142, "2731318473815918": 142, "27319": 142, "273197889328003": 142, "2732": 142, "27321": 142, "2732293605804443": 142, "2732374668121338": 142, "2732386589050293": 142, "2732603549957275": 142, "2733": 142, "27331": 142, "2733285427093506": 142, "27335": 142, "273458003997803": 142, "273478031158447": 142, "273552417755127": 142, "273559808731079": 142, "2735605239868164": 142, "27359": 142, "27361": 142, "2736303806304932": 142, "273664951324463": 142, "27369": 142, "2737": 147, "2737336158752441": 142, "27374": 142, "2737534046173096": 142, "2738158702850342": 142, "273834228515625": 142, "27385": 142, "27394": 142, "2739408016204834": 142, "27396": 142, "273977518081665": 142, "274": 142, "274021148681641": 142, "27410": 142, "27411": 142, "27413": 142, "274139404296875": 142, "2741506099700928": 142, "2741692066192627": 142, "274191856384277": 142, "274192810058594": 142, "2742583751678467": 142, "2743606567382812": 142, "27438": 142, "2744255065917969": 142, "2744815349578857": 142, "27449": 142, "27450": 142, "2745449542999268": 142, "27455": 142, "2745788097381592": 142, "2745871543884277": 142, "27462": 142, "2746357917785645": 142, "27467": 142, "2746760845184326": 142, "2746e": 148, "27471": 142, "2747247219085693": 142, "27475": 142, "2747955322265625": 142, "27482": 142, "27488": 142, "2748e": 147, "27490": 142, "275": 147, "2750": 142, "27500319480896": 142, "2750194072723389": 142, "275022983551025": 142, "275036334991455": 142, "2750434875488281": 142, "27507": 142, "275101661682129": 142, "27512": 142, "27513": 142, "27514": 142, "2751414775848389": 142, "2751760482788086": 142, "2751862704753876": 142, "2752": 142, "27523": 142, "2752420902252197": 142, "2752506732940674": 142, "2753": 142, "27532": 142, "27533": 142, "2753913402557373": 142, "275395154953003": 142, "27543": 142, "27549": 142, "2755060195922852": 142, "2755310535430908": 142, "2756528854370117": 142, "2757": [142, 154], "27570": 142, "2758": 142, "275831699371338": 142, "275834083557129": 142, "27585": 142, "275916337966919": 142, "27592134475708": 142, "275935173034668": 142, "27594": 142, "2759449481964111": 142, "2759971618652344": 142, "276": 147, "2760": 142, "2760140895843506": 142, "2760179042816162": 142, "27606": 142, "2760605812072754": 142, "27607": 142, "2761321067810059": 142, "276139497756958": 142, "276190996170044": 142, "2761938571929932": 142, "2761948108673096": 142, "2762": 142, "2762207984924316": 142, "2762277126312256": 142, "27628": 142, "27629": 142, "2763": 148, "27630": 142, "2763020992279053": 142, "27632": 142, "276400089263916": 142, "276427745819092": 142, "27647": 142, "2764925956726074": 142, "27651834487915": 142, "27656": 142, "276573896408081": 142, "2765798568725586": 142, "2765800952911377": 142, "27664": 142, "27666": 142, "27669": 142, "27669095993042": 142, "2767": 142, "276741027832031": 142, "2767558097839355": 142, "27677": 142, "276785135269165": 142, "2768": 154, "2768032550811768": 142, "2768163681030273": 142, "27682": 142, "2769453525543213": 142, "2769899368286133": 142, "27699613571167": 142, "277": [142, 147], "277076244354248": 142, "277079105377197": 142, "2771952152252197": 142, "2772": [142, 147], "2772014141082764": 142, "27722": 142, "2772448062896729": 142, "2772588729858398": 142, "277263164520264": 142, "27731": 142, "27735": 142, "2773540019989014": 142, "2773640155792236": 142, "2773685455322266": 142, "277454853057861": 142, "277489185333252": 142, "27749": 142, "2775": 142, "27752": 142, "2775416374206543": 142, "27755": 142, "2776": 142, "27762222290039": 142, "2776389122009277": 142, "27769": 142, "2777": 154, "27770": 142, "27776": 142, "277786731719971": 142, "27780": 142, "2778291702270508": 142, "27786": 142, "2778680324554443": 142, "27787": 142, "27788": 142, "2779200077056885": 142, "27793": 142, "2779498100280762": 142, "277970790863037": 142, "2779738903045654": 133, "2780": 142, "27800": 142, "2780070304870605": 142, "278055191040039": 142, "2781": 142, "278134822845459": 142, "27814": 142, "2782": 142, "2782042026519775": 142, "27821": 142, "2782373428344727": 142, "27826": 142, "27828": 142, "2782855033874512": 142, "27829": 142, "2782e": 147, "2783": 142, "27830": 142, "27833": 142, "2783653736114502": 142, "27838": 142, "27839": 142, "2784": 142, "27840": 142, "2784020900726318": 142, "27842903137207": 142, "2784302234649658": 142, "27844": 142, "2784523963928223": 142, "2784781455993652": 142, "27850": 142, "27851": 142, "27852": 142, "2785608768463135": 142, "278589725494385": 142, "2785935401916504": 142, "2785956859588623": 142, "2786": 142, "2786638736724854": 142, "2786953449249268": 142, "2787096500396729": 142, "2787189483642578": 142, "278789520263672": 142, "2787e": 147, "278812408447266": 142, "278818607330322": 142, "27882": 142, "2788805961608887": 142, "2788872718811035": 142, "27891206741333": 142, "2789182662963867": 142, "2789332866668701": 142, "2789523601531982": 142, "27898": 142, "27899": 142, "279": 134, "2790": 142, "27901": 142, "27902": 142, "27904": 142, "27907": 142, "27910": 142, "2791051864624023": 142, "2791225910186768": 142, "27916": 142, "2791755199432373": 142, "27919": 142, "2792131900787354": 142, "2792277336120605": 142, "2792515754699707": 142, "2792608737945557": 142, "2792963981628418": 142, "2793": 142, "2793910503387451": 142, "2794060707092285": 142, "2794137001037598": 142, "2794680893421173": 147, "27947": 142, "27948": 142, "27953": 142, "2795634269714355": 142, "2795839309692383": 142, "279599666595459": 142, "27961": 142, "2797": 142, "27970": 142, "279721260070801": 142, "2797338962554932": 142, "2798": 142, "2798357009887695": 142, "2798678874969482": 142, "27987813949585": 142, "2798852920532227": 142, "2799346446990967": 142, "27997": 142, "27999": 142, "27e": 147, "27it": [134, 147], "27m": 134, "28": [134, 139, 142, 145, 147, 149, 153, 154], "280": 134, "28006": 142, "2801058292388916": 142, "28011": 142, "2801463603973389": 142, "2801780700683594": 142, "28019": 142, "2802": 142, "28020": 142, "28022": 142, "28024": 142, "28026": 142, "28029": 142, "2803": [147, 154], "2803328037261963": 142, "2803966999053955": 142, "280406951904297": 142, "2804243564605713": 142, "2804627418518066": 142, "2805025577545166": 142, "2805168628692627": 142, "2805469036102295": 142, "28056": 142, "28064": 142, "28069": 142, "2807": 142, "2807557582855225": 142, "28076": 142, "2807695865631104": 142, "28079": 142, "2807934284210205": 142, "280794382095337": 142, "2808": 142, "28080": 142, "2808268070220947": 142, "280836820602417": 142, "2809": 142, "28090": 142, "2809720039367676": 142, "281": 134, "2810370922088623": 142, "28107": 142, "28108": 142, "2811": 142, "28112": 142, "28116": 142, "281167984008789": 142, "28117": 142, "2811861038208008": 142, "2812175750732422": 142, "2812330722808838": 142, "28126": 142, "2812647819519043": 142, "28127": 142, "28128": 142, "2813115119934082": 142, "281322479248047": 142, "281407117843628": 142, "28143": 142, "28145": 142, "2815": [142, 147], "2815093994140625": 142, "2816977500915527": 142, "28174": 142, "28175": 142, "2817697525024414": 142, "28177": 142, "2817752361297607": 142, "28178": 142, "2817909717559814": 142, "2818174362182617": 142, "2818398475646973": 142, "28189": 142, "28192": 142, "2819890975952148": 142, "2819e": 147, "28201": 142, "282055377960205": 142, "2820813655853271": 142, "282127857208252": 142, "2821447849273682": 142, "28220": 142, "2822086811065674": 142, "28224": 142, "28229": 142, "2822e": 148, "28230": 142, "28233": 142, "2824": 142, "2824082374572754": 142, "2824172973632812": 142, "28242": 142, "2824428081512451": 142, "2824597358703613": 142, "28246": 142, "2824945449829102": 142, "282500615000004": 147, "28253173828125": 142, "28256": 142, "282567501068115": 142, "282573938369751": 142, "2825e": 147, "28266": 142, "2826642990112305": 142, "28267": 142, "2826895713806152": 142, "2827": 142, "28270": 142, "2827153205871582": 142, "282739162445068": 142, "2827398777008057": 142, "28278": 142, "2827861309051514": 142, "2827985286712646": 142, "2828": 142, "28283": 142, "2828752994537354": 142, "2828822135925293": 142, "2829": 154, "28293": 142, "2829358577728271": 142, "28302": 142, "28303": 142, "283034086227417": 142, "28304": 142, "2830684185028076": 142, "2831": 142, "283111333847046": 142, "2831425666809082": 142, "2831828594207764": 142, "2831897735595703": 142, "2832": 142, "2832069396972656": 142, "283210277557373": 142, "283226490020752": 142, "28324": 142, "2832703590393066": 142, "2833": 142, "28330": 142, "28334": 142, "2833590507507324": 142, "2833662033081055": 142, "28339": 142, "2833991050720215": 142, "28340": 142, "2834548950195312": 142, "28347": 142, "28353": 142, "28355": 142, "28361": 142, "283616065979004": 142, "283664703369141": 142, "2836837768554688": 142, "28369": 142, "2837443351745605": 142, "2838129997253418": 142, "2838187217712402": 142, "2838194370269775": 142, "28383": 142, "2838807106018066": 142, "2838897705078125": 142, "2839064598083496": 142, "2839081287384033": 142, "28391": 142, "2839381694793701": 142, "2839758396148682": 142, "284": 142, "28400": 142, "28408": 142, "284080982208252": 142, "284120559692383": 142, "28413": 142, "28419": 142, "28423": 142, "28424": 142, "2842955589294434": 142, "28435": 142, "2843737602233887": 142, "2844064235687256": 142, "28452": 142, "284623622894287": 142, "2846992015838623": 142, "2847325801849365": 142, "28480": 142, "2848000526428223": 142, "28487": 142, "2848832607269287": 142, "28489": 142, "284919261932373": 142, "28497": 142, "285": 147, "28501": 142, "285017490386963": 142, "2850213050842285": 142, "2850561141967773": 142, "285120964050293": 142, "2851262092590332": 142, "2851452827453613": 142, "285182476043701": 142, "2852": 147, "2852411270141602": 142, "2852568626403809": 142, "2852871417999268": 142, "2853755950927734": 142, "2854688167572021": 142, "285522699356079": 142, "285557746887207": 142, "28557": 142, "2855775356292725": 142, "285590648651123": 142, "2856": 142, "2856416702270508": 142, "28566": 142, "2856874465942383": 142, "2857": 142, "2857201099395752": 142, "28580": 142, "2858197689056396": 142, "2858235836029053": 142, "28583": 142, "2858631610870361": 142, "28591": 142, "285918951034546": 142, "285919189453125": 142, "28595": 142, "2859575748443604": 142, "286029577255249": 142, "286067008972168": 142, "2860677242279053": 142, "2861": 142, "28610": 142, "2861311435699463": 142, "2862904071807861": 142, "2863168716430664": 142, "2863411903381348": 142, "2863609790802002": 142, "2864184379577637": 142, "28645": 142, "2864556312561035": 142, "28651": 142, "28658": 142, "28660": 142, "2867252826690674": 142, "2867684364318848": 142, "2868144512176514": 142, "2868218421936035": 142, "286822": [147, 149], "286849021911621": 142, "2868666648864746": 142, "28695": 142, "28701": 142, "28704": 142, "28716": 142, "28717": 142, "287205696105957": 142, "28721": 142, "28722": 142, "2872710227966309": 142, "28731": 142, "2873222827911377": 142, "28734": 142, "2873859405517578": 142, "28742": 142, "2874822616577148": 142, "2875022888183594": 142, "2875523567199707": 142, "28759": 142, "28760": 142, "2876181602478027": 142, "28766": 142, "28768": 142, "28769": 142, "28770": 142, "2877018451690674": 142, "28771": 142, "28772": 142, "2877297401428223": 142, "28773": 142, "28782": 142, "2878239154815674": 142, "2878482341766357": 142, "2878940105438232": 142, "28792": 142, "28797": 142, "2879834175109863": 142, "2879960536956787": 142, "288": 142, "28800": 142, "2880213260650635": 142, "2880871295928955": 142, "28810": 142, "2881054878234863": 142, "28818": 142, "2882401943206787": 142, "2883061066968367e": 142, "28832": 142, "2883288860321045": 142, "2884": 142, "288402795791626": 142, "288410663604736": 142, "28842": 142, "28843": 142, "28846": 142, "2885": 142, "2885091304779053": 142, "28851": 142, "2885162830352783": 142, "288532018661499": 142, "28858": 142, "28859": 142, "28860": 142, "28865": 142, "28866": 142, "2887229919433594": 142, "288726806640625": 142, "2887344360351562": 142, "28875": 142, "2887563705444336": 142, "28877": 142, "28878": 142, "28879": 142, "2888069152832031": 142, "28884": 142, "28885": 142, "28888": 142, "2888870239257812": 142, "2889351844787598": 142, "2889654636383057": 142, "289093255996704": 142, "28910": 142, "28916": 142, "2891688346862793": 142, "2891850471496582": 142, "28919": 142, "2892186641693115": 142, "28922": 142, "2892286777496338": 142, "2892673015594482": 142, "2892882823944092": 142, "2892932891845703": 142, "28930": 142, "289320468902588": 142, "2893543243408203": 142, "2894": 142, "28941": 142, "2894256114959717": 142, "289447546005249": 142, "28945": 142, "289452314376831": 142, "28945592045783997": 142, "2894623279571533": 142, "28947": 142, "2895135879516602": 142, "28954": 142, "2895495891571045": 142, "2896404266357422": 142, "28968": 142, "2897083759307861": 142, "2897148132324219": 142, "2898149490356445": 142, "28982": 142, "28987": 142, "2898874282836914": 142, "289937496185303": 142, "28995": 142, "2899534702301025": 142, "28997": 142, "2899808883666992": 142, "28e": 147, "28it": 134, "28m": 134, "28mb": 134, "29": [132, 134, 138, 142, 145, 147, 148, 149, 154], "2900302410125732": 142, "2900543212890625": 142, "2901008129119873": 142, "29011": 142, "29014": 142, "290170669555664": 142, "2901937750658887e": 142, "2901937998509476e": 142, "2901954650878906": 142, "2902123928070068": 142, "29022": 142, "29026": 142, "2902672290802002": 142, "290271520614624": 142, "2902755737304688": 142, "29035": 142, "2903594970703125": 142, "2904064655303955": 142, "29055": 142, "290560245513916": 142, "2905616760253906": 142, "2906224727630615": 142, "29069": 142, "29072": 142, "29073": 142, "2907826900482178": 142, "2908058166503906": 142, "2908692359924316": 142, "29089": 142, "29091": 142, "291": [138, 142], "2910168170928955": 142, "291055679321289": 142, "291066646575928": 142, "291081428527832": 142, "2910850048065186": 142, "29110": 142, "29111": 142, "291121006011963": 142, "2911322116851807": 142, "2911841869354248": 142, "2911896705627441": 142, "291229486465454": 142, "2912943363189697": 142, "29135": 142, "29136": 142, "29138": 142, "29139": 142, "29141": 142, "2914257049560547": 142, "2914419174194336": 142, "2914519309997559": 142, "2914702892303467": 142, "291484832763672": 142, "2915": 154, "29152": 142, "291524887084961": 142, "29153": 142, "29154": 142, "2915425300598145": 142, "2915515899658203": 142, "29156": 142, "29157": 142, "29163": 142, "29168": 142, "2916967868804932": 142, "29174": 142, "29175": 142, "291763782501221": 142, "2917888164520264": 142, "29179": 142, "29184": 142, "29187": 142, "2918925285339355": 142, "2919": [147, 149], "2919127941131592": 142, "29194": 142, "2919418811798096": 142, "29198": 142, "292": 142, "29200000e": [147, 149], "2920434474945068": 142, "2920520305633545": 142, "29211": 142, "29216": 142, "292203426361084": 142, "29228": 142, "2923059463500977": 142, "2923702001571655": 142, "29238": 142, "2923808097839355": 142, "29246": 142, "29249": 142, "292527675628662": 142, "292567491531372": 142, "29266": 142, "2927517890930176": 142, "2927873134613037": 142, "2928087711334229": 142, "292820930480957": 142, "29284": 142, "2928416728973389": 142, "2928643226623535": 142, "2928991317749023": 142, "292963981628418": 142, "2930": 142, "29300": 142, "29303": 142, "2930355072021484": 142, "29304": 142, "293069839477539": 142, "29308": 142, "29309": 142, "2931": [147, 149], "29310": 142, "293102741241455": 142, "2931632995605469": 142, "2932": 142, "2932827472686768": 142, "293367862701416": 142, "2933902740478516": 142, "29342": 142, "2935": 154, "2935895919799805": 142, "29359": 142, "29362": 142, "293639898300171": 142, "293680667877197": 142, "2937002182006836": 142, "293700933456421": 142, "29371": 142, "293715476989746": 142, "29373": 142, "29374": 142, "29375": 142, "2937533855438232": 142, "29376": 142, "29379": 142, "29381": 142, "2938237190246582": 142, "2938363552093506": 142, "29387": 142, "29390287399292": 142, "29392701387405396": 142, "29397": 142, "293970": 147, "2939956188201904": 142, "2940": 154, "29400": 142, "294010877609253": 142, "2940278053283691": 142, "294084548950195": 142, "29415": 142, "29419": 142, "2941911220550537": 142, "29420": 142, "294205665588379": 142, "29422": 142, "294236183166504": 142, "29428": 142, "29432": 142, "2943265438079834": 142, "2943720817565918": 142, "29439640045166": 142, "294435739517212": 142, "2945282459259033": 142, "2945647239685059": 142, "294579029083252": 142, "29458": 142, "29462": 142, "29465": 142, "29469": 142, "29474": 142, "2947547435760498": 142, "29476": 142, "2948260307312012": 142, "2948317527771": 142, "29484": 142, "294867038726807": 142, "29487": 142, "2949": 142, "29491": 142, "2949726581573486": 142, "294k": 129, "295": [132, 134, 157], "2950012683868408": 142, "295085906982422": 142, "295090913772583": 142, "295097827911377": 142, "295137882232666": 142, "2952191829681396": 142, "2952406406402588": 142, "2952492237091064": 142, "2952666282653809": 142, "29529": 142, "2953925132751465": 142, "295433759689331": 142, "29549": 142, "29551": 142, "2955434322357178": 142, "29556": 142, "2956": 142, "295602": 147, "29562": 142, "2956287860870361": 142, "2956485748291016": 142, "29566": 142, "29568": 142, "2956836223602295": 142, "29570": 142, "2957096099853516": 142, "29579": 142, "2957918643951416": 142, "2957940101623535": 142, "2958073616027832": 142, "29585": 142, "2958734035491943": 142, "2958879470825195": 142, "29592": 142, "2959251403808594": 142, "29596": 142, "29598": 142, "2960": [142, 147], "29602": 142, "29603": 142, "2960333824157715": 142, "2960548400878906": 142, "29607": 142, "296072244644165": 142, "2960991859436035": 142, "2961206436157227": 142, "29616": 142, "29618": 142, "2961854934692383": 142, "2961857318878174": 142, "29619": 142, "2962145805358887": 142, "29623": 142, "296241760253906": 142, "2962548732757568": 142, "29626": 142, "29628": 142, "29638": 142, "2963809967041016": 142, "29639": 142, "2964": 147, "29642": 142, "2964293956756592": 142, "2964355945587158": 142, "29645": 142, "29646": 142, "2964935302734375": 142, "296501874923706": 142, "29652": 142, "29656": 142, "29657": 142, "29658": 142, "296604871749878": 142, "29661": 142, "29662": 142, "2966210842132568": 142, "2966575622558594": 142, "29666": 142, "29667": 142, "2967257499694824": 142, "29676628112793": 142, "29678": 142, "29679": 142, "296820163726807": 142, "296910047531128": 142, "29692": 142, "296929121017456": 142, "2969841957092285": 142, "2970077991485596": 142, "2970364093780518": 142, "2970821857452393": 142, "2971057891845703": 142, "29711": 142, "29713": 142, "297166347503662": 142, "2971949577331543": 142, "2972137928009033": 142, "2972230911254883": 142, "2972362041473389": 142, "297290563583374": 142, "29736": 142, "297391653060913": 142, "29740": 142, "29744": 142, "29745": 142, "2974772453308105": 142, "29749": 142, "2974953651428223": 142, "29752": 142, "297558307647705": 142, "2976055145263672": 142, "2976644039154053": 142, "29767": 142, "2977": 142, "29770": 142, "29772": 142, "2978150844573975": 142, "29784": 142, "29785": 142, "2978601455688477": 142, "2979": 142, "297985315322876": 142, "2979912757873535": 142, "2980117797851562": 142, "29804": 142, "298058032989502": 142, "2980692386627197": 142, "2980716228485107": 142, "29808": 142, "29809": 142, "298098564147949": 142, "29811": 142, "298130035400391": 142, "298152208328247": 142, "2981798648834229": 142, "2982301712036133": 142, "2982468605041504": 142, "29826": 142, "2982604503631592": 142, "29828": 142, "29841": 142, "298426151275635": 142, "298457622528076": 142, "29849": 142, "29850": 142, "2985916137695312": 142, "29861": 142, "29866": 142, "2986605167388916": 142, "29873": 142, "2987957000732422": 142, "2988057136535645": 142, "2988197803497314": 142, "29882": 142, "2988262176513672": 142, "2988367080688477": 142, "298842191696167": 142, "2988767623901367": 142, "29889": 142, "298938512802124": 142, "299": 142, "29900": 142, "299055576324463": 142, "2991065979003906": 142, "29912": 142, "2993028163909912": 142, "29932": 142, "2993247509002686": 142, "29933": 142, "299360990524292": 142, "2994": 142, "29941725730896": 142, "2994248867034912": 142, "2994558811187744": 142, "2995367050170898": 142, "29973": 142, "2997844219207764": 142, "2998": 154, "2998645305633545": 142, "29988": 142, "299884557723999": 142, "2999045848846436": 142, "29d1b992715054e920e8bb2afe97b393": 129, "29e": 147, "29g": 129, "29m": 134, "2a05": 134, "2a27de122d32917cc5b6ac0a21c63c1c": 129, "2b355741f9300445703270e0e4b8c01c": 129, "2c05877": 151, "2d": [65, 78, 93], "2d71adb9e305e6f3bca49e5df9b5a86a": 129, "2f": [151, 153], "2f3f1b5a": 142, "2g": [129, 131], "2it": 134, "2m": [129, 133, 134, 139, 141, 144, 147, 158], "2o2": 153, "2x2": 153, "3": [9, 32, 48, 51, 52, 66, 79, 80, 81, 94, 99, 100, 129, 130, 132, 133, 134, 135, 138, 140, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "30": [107, 132, 134, 142, 147, 149, 154, 157], "300": [141, 147, 154], "3000": 142, "3000465215529733": 154, "3000943660736084": 142, "3001091480255127": 142, "30019": 142, "3001949787139893": 142, "30021": 142, "3002643585205078": 142, "30027": 142, "30028": 142, "300288438796997": 142, "30030": 142, "3003730773925781": 142, "30039": 142, "3003993034362793": 142, "30041": 142, "30045": 142, "3005261421203613": 142, "3006": 142, "3006396293640137": 142, "3006486892700195": 142, "30066": 142, "300720453262329": 142, "30075": 142, "300808429718018": 142, "3008124828338623": 142, "3008146286010742": 142, "3008172512054443": 142, "30082": 142, "30086": 142, "300868988037109": 142, "3009023666381836": 142, "30092": 142, "30094": 142, "3009707927703857": 142, "301": [132, 157], "3010077476501465": 142, "30106": 142, "30108": 142, "3011181354522705": 142, "3011910915374756": 142, "3011e": 147, "3012187480926514": 142, "3012254238128662": 142, "3012704849243164": 142, "3013417720794678": 142, "3013710975646973": 142, "3013756275177002": 142, "3014": 154, "3014163970947266": 142, "30147": 142, "30151": 142, "3015825748443604": 142, "3015892505645752": 142, "30160": 142, "30161": 142, "301637172698975": 142, "3017": 142, "3017070293426514": 142, "30175": 142, "30177": 142, "30180": 142, "30183": 142, "3018710613250732": 142, "3019": 142, "302": [134, 147, 149], "3020267486572266": 142, "3020625114440918": 142, "302070140838623": 142, "302072286605835": 142, "30208": 142, "3020930290222168": 142, "3021": [142, 147], "3021507263183594": 142, "30219": 142, "3022544384002686": 142, "3022589683532715": 142, "30227": 142, "3022980690002441": 142, "30231": 142, "3023920059204102": 142, "3023924827575684": 142, "3024036884307861": 142, "302412509918213": 142, "30252": 142, "3025271892547607": 142, "30253": 142, "3025319576263428": 142, "3025391101837158": 142, "302642583847046": 142, "3026525974273682": 142, "3026716709136963": 142, "3026835918426514": 142, "3027634620666504": 142, "302800178527832": 142, "30285": 142, "302854537963867": 142, "30293": 142, "30294": 142, "302995681762695": 142, "3030178546905518": 142, "3030765056610107": 142, "30311": 142, "303114414215088": 142, "30312": 142, "3031413555145264": 142, "30317": 142, "3032002449035645": 142, "303250789642334": 142, "30326": 142, "3033": 147, "3033006191253662": 142, "3033246994018555": 142, "3033459186553955": 142, "3033549785614014": 142, "30336": 142, "3033616542816162": 142, "3033630847930908": 142, "30337": 142, "3033726215362549": 142, "30338": 142, "3033833503723145": 142, "30343": 142, "30347": 142, "303471565246582": 142, "30352": 142, "303523540496826": 142, "3035385608673096": 142, "30354": 142, "30355": 142, "30356": 142, "30357": 142, "30361": 142, "303629398345947": 142, "30366": 142, "3036606311798096": 142, "30367": 142, "30368": 142, "3037004470825195": 142, "3037054538726807": 142, "30371": 142, "30373": 142, "30379": 142, "3038": 142, "30380": 142, "3038008213043213": 142, "30383": 142, "30395": 142, "3039798736572266": 142, "304": 142, "30401": 142, "3040118217468262": 142, "30402": 142, "3040351867675781": 142, "3040366172790527": 142, "3040673732757568": 142, "304084300994873": 142, "30410": 142, "304100513458252": 142, "30412": 142, "30418": 142, "3041880130767822": 142, "30421": 142, "30424": 142, "3043": 142, "304329514503479": 142, "3043556213378906": 142, "30437": 142, "304403781890869": 142, "3044140338897705": 142, "304492473602295": 142, "3045654296875": 142, "30459": 142, "3045902252197266": 142, "30460": 142, "3046038150787354": 142, "30461": 142, "30463": 142, "30464": 142, "30465": 142, "3046526908874512": 142, "304701805114746": 142, "30471": 142, "30472": 142, "30473": 142, "304762363433838": 142, "30478": 142, "30479": 142, "304800033569336": 142, "30481": 142, "30482": 142, "30483": 142, "30485": 142, "304887056350708": 142, "30492": 142, "30493": 142, "30494": 142, "30496": 142, "3049676418304443": 142, "3049805164337158": 142, "305": 142, "30500": 142, "30501": 142, "30501127243042": 142, "3050367832183838": 142, "305069446563721": 142, "3051388263702393": 142, "305189847946167": 142, "30523": 142, "3052401542663574": 142, "30525651574134827": 142, "30527": 142, "3052935600280762": 142, "30533": 142, "305339336395264": 142, "30536": 142, "30550": 142, "3055202960968018": 142, "30555": 142, "30557": 142, "305633306503296": 142, "305654764175415": 142, "3056721687316895": 142, "30568": 142, "30570": 142, "30571": 142, "30572": 142, "30574": 142, "305768013000488": 142, "30580": 142, "30581": 142, "30592": 142, "30593": 142, "305933952331543": 142, "305934190750122": 142, "30594": 142, "30595": 142, "30596": 142, "3059654235839844": 142, "30598": 142, "30599": 142, "306": 147, "30603": 142, "306045055389404": 142, "3060812950134277": 142, "306138038635254": 142, "3061497211456299": 142, "30619": 142, "3062772750854492": 142, "306286427890882e": 142, "3063163757324219": 142, "30644": 142, "306495666503906": 142, "3064961433410645": 142, "30652": 142, "30656": 142, "30657": 142, "306575059890747": 142, "30658": 142, "30659": 142, "30660": 142, "30661": 142, "30662": 142, "30666": 142, "30668": 142, "306680679321289": 142, "30671": 142, "30672": 142, "30673": 142, "30674": 142, "306746006011963": 142, "30675": 142, "30676": 142, "3067710399627686": 142, "30681": 142, "3068110942840576": 142, "30682": 142, "30683": 142, "30684": 142, "306849479675293": 142, "30685": 142, "30686": 142, "3068788051605225": 142, "3068978786468506": 142, "3069050312042236": 142, "306908130645752": 142, "3069562911987305": 142, "306g": 129, "30701": 142, "3070499897003174": 142, "30705": 142, "30708": 142, "3070812225341797": 142, "3070921897888184": 142, "3071503639221191": 142, "30717": 142, "30721": 142, "3072147369384766": 142, "30722": 142, "30725": 142, "30726": 142, "3072760105133057": 142, "3072974681854248": 142, "3074138164520264": 142, "307420492172241": 142, "30744": 142, "30745": 142, "30746": 142, "307465076446533": 142, "30747": 142, "30769681930542": 142, "3078": 142, "3078022003173828": 142, "30787": 142, "3078746795654297": 142, "30792": 142, "307934045791626": 142, "3079392910003662": 142, "30794": 142, "30795": 142, "307962417602539": 142, "307964563369751": 142, "30797": 142, "3079707622528076": 142, "307978630065918": 142, "30798": 142, "308": 147, "30805": 142, "30807": 142, "3081023693084717": 142, "30811": 142, "3081309795379639": 142, "30814": 142, "3082218170166016": 142, "3082261085510254": 142, "30826": 142, "30828": 142, "3082928657531738": 142, "3083009719848633": 142, "308312892913818": 142, "30834": 142, "30835": 142, "30836": 142, "308361530303955": 142, "3084": 142, "30840": 142, "30842": 142, "30844": 142, "30846": 142, "30847": 142, "308487892150879": 142, "30849": 142, "3084962368011475": 142, "30850": 142, "30851": 142, "3085181713104248": 142, "30852": 142, "30853": 142, "30856": 142, "3085663318634033": 142, "3085691928863525": 142, "30857": 142, "30858": 142, "30859": [130, 142], "30864": 142, "30866": 142, "30867": 142, "308678388595581": 142, "30871": 142, "30875": 142, "30876": 142, "30877": 142, "308779716491699": 142, "30882": 142, "30883": 142, "30884": 142, "3088481426239014": 142, "30885": 142, "30886": 142, "3089163303375244": 142, "308917760848999": 142, "30893": 142, "3089568614959717": 142, "30908": 142, "3091022968292236": 142, "3091058731079102": 142, "309107780456543": 142, "3092079162597656": 142, "3092103004455566": 142, "3092446327209473": 142, "30931": 142, "30933": 142, "30938": 142, "309380054473877": 142, "309445858001709": 142, "3094701766967773": 142, "30952": 142, "3095378875732422": 142, "309541940689087": 142, "3096799850463867": 142, "30971": 142, "30973": 142, "30974": 142, "3097772598266602": 142, "30979": 142, "3098645210266113": 142, "30989408493042": 142, "30999": 142, "3099982738494873": 142, "30e": 147, "30g": 129, "30it": 134, "30m": 134, "31": [134, 142, 145, 147, 149, 154, 157], "310": 147, "3100051879882812": 142, "3100186884403229": 142, "31002": 142, "31003999710083": 142, "3100645542144775": 142, "31010": 142, "31011": 142, "310157060623169": 142, "31018": 142, "31019": 142, "3102": 142, "3102076053619385": 142, "3102142810821533": 142, "3102483749389648": 142, "310270309448242": 142, "3103": 142, "3103752136230469": 142, "31040": 142, "3104596138000488": 142, "310492753982544": 142, "3105": 154, "31053": 142, "31055": 142, "3105864524841309": 142, "310640811920166": 142, "31070": 142, "31072": 142, "3107335567474365": 142, "31075119972229": 142, "31080": 142, "310800552368164": 142, "31081": 142, "3108129501342773": 142, "31084": 142, "310854434967041": 142, "3108551502227783": 142, "31086": 142, "3109545707702637": 142, "31097": 142, "31103": 142, "31105": 142, "311058521270752": 142, "311086893081665": 142, "3111004829406738": 142, "3111228942871094": 142, "31121301651001": 142, "311241865158081": 142, "31125": 142, "3112661838531494": 142, "3113782405853271": 142, "31138": 142, "3113839626312256": 142, "3113913536071777": 142, "31144": 142, "31149": 142, "3115": 154, "31150": 142, "31152": 142, "31153": 142, "3115434646606445": 142, "31158": 142, "31160": 142, "311610460281372": 142, "3116257190704346": 142, "311661958694458": 142, "31169": 142, "31170": 142, "31171": 142, "31172": 142, "31172513961792": 142, "3117420673370361": 142, "311812162399292": 142, "3118157386779785": 142, "31185": 142, "3118607997894287": 142, "31187": 142, "3118846416473389": 142, "31191": 142, "3119220733642578": 142, "31205": 142, "31207": 142, "3121116161346436": 142, "31214": 142, "312146186828613": 142, "31219": 142, "31220": 142, "3123": 142, "31231": 142, "3123219013214111": 142, "31233": 142, "31234": 142, "312340497970581": 142, "3124699592590332": 142, "3124802112579346": 142, "3125150203704834": 142, "31253": 142, "3125395774841309": 142, "312551498413086": 142, "3125665187835693": 142, "3125715255737305": 142, "31263": 142, "3126471042633057": 142, "31276": 142, "3127634525299072": 142, "312767028808594": 142, "31277": 142, "3127963542938232": 142, "3128368854522705": 142, "31284": 142, "3128859996795654": 142, "3129": 142, "31294": 142, "31297": 142, "312974214553833": 142, "313": 147, "3130829334259033": 142, "31309": 142, "31312": 142, "31313": 142, "3132176399230957": 142, "31328": 142, "313294887542725": 142, "3133227825164795": 142, "3133389949798584": 142, "31337": 142, "31339": 142, "3134031295776367": 142, "31347": 142, "31348": 142, "313495397567749": 142, "3135": 154, "31360": 142, "31362": 142, "313622236251831": 142, "31363": 142, "313640832901001": 142, "31379": 142, "3137903213500977": 142, "3138": 142, "31381": 142, "31383": 142, "3138468265533447": 142, "313908338546753": 142, "31404709815979": 142, "31406": 142, "314072608947754": 142, "3141722679138184": 142, "3141796588897705": 142, "3142294883728027": 142, "3142704963684082": 142, "314279": 154, "3142e": 147, "31430": 142, "314318656921387": 142, "3143529891967773": 142, "31438": 142, "314429521560669": 142, "3144302368164062": 142, "31451": 142, "31452": 142, "31453": 142, "3145391941070557": 142, "31454": 142, "31455": 142, "31456": 142, "3145647048950195": 142, "31457": 142, "31458": 142, "31459": 142, "31460": 142, "314610242843628": 142, "314645528793335": 142, "31469": 142, "31471": 142, "31472": 142, "31473": 142, "3147623538970947": 142, "31479": 142, "31480": 142, "3148021697998047": 142, "31481": 142, "3148481845855713": 142, "31485": 142, "314903736114502": 142, "31493": 142, "3149394989013672": 142, "314971446990967": 142, "315": 147, "3150005340576172": 142, "3150064945220947": 142, "31502": 142, "3150458335876465": 142, "31507": 142, "3151": 134, "31510": 142, "3151094913482666": 142, "315171718597412": 142, "3151977062225342": 142, "315239429473877": 142, "315253496170044": 142, "31550931930542": 142, "3155159950256348": 142, "315556526184082": 142, "315598964691162": 142, "3156170845031738": 142, "3156371116638184": 142, "3156559467315674": 142, "315668106079102": 142, "3158271312713623": 142, "3158800601959229": 142, "3159": 142, "3159306049346924": 142, "316": [134, 142], "3161191940307617": 142, "3161847591400146": 142, "316206693649292": 142, "3162e": 147, "3163549900054932": 142, "316357135772705": 142, "316384": 154, "3164348602294922": 142, "3165082931518555": 142, "3165655136108398": 142, "3165721893310547": 142, "3165779113769531": 142, "3166167736053467": 142, "3166420459747314": 142, "3167": 142, "3167182207107544": 142, "31671825": 147, "316727296": 158, "3167471885681152": 142, "3167492151260376": 142, "3167681694030762": 142, "316769123077393": 142, "3168110847473145": 142, "3168299198150635": 142, "31694221496582": 142, "316983699798584": 142, "3169877529144287": 142, "3169944286346436": 142, "317": 142, "3170149326324463": 142, "3170578479766846": 142, "317084789276123": 142, "3171319961547852": 142, "3171570301055908": 142, "3172": 142, "317265510559082": 142, "3172869682312012": 142, "3173": 142, "317310094833374": 142, "3173367977142334": 142, "3173744678497314": 142, "31746506690979": 142, "3174753189086914": 142, "3175718784332275": 142, "3176782131195068": 142, "3176863193511963": 142, "31769242882728577": 142, "317845344543457": 142, "317959785461426": 142, "318": 142, "3180406093597412": 142, "3180482387542725": 142, "3180522918701172": 142, "3181052207946777": 142, "31814437": [147, 149], "318153381347656": 142, "3181554154438013": 132, "318166971206665": 142, "318192481994629": 142, "318206310272217": 142, "318450927734375": 142, "3184621334075928": 142, "3184919357299805": 142, "3185389041900635": 142, "318557620048523": 142, "3186371326446533": 142, "318660736083984": 142, "318669319152832": 142, "3186984062194824": 142, "3187429904937744": 142, "3187448978424072": 142, "3188438415527344": 142, "318878173828125": 142, "3189036846160889": 142, "3189091682434082": 142, "3189904689788818": 142, "319": 147, "319033145904541": 142, "3191571533679962": 142, "3192138671875": 142, "3193764686584473": 142, "3194749355316162": 142, "319483757019043": 142, "319594383239746": 142, "3199183940887451": 142, "3199248313903809": 142, "3199501037597656": 142, "3199936151504517": 142, "31e": 147, "31it": 134, "31m": [133, 134, 139, 144, 151, 153, 154, 158], "32": [36, 38, 132, 134, 142, 145, 147, 148, 149, 154, 157], "320021152496338": 142, "320024013519287": 142, "320035696029663": 142, "3200421333312988": 142, "3200867176055908": 142, "3202321529388428": 142, "3202626705169678": 142, "320284366607666": 142, "3203201293945312": 142, "3204293251037598": 142, "3204803466796875": 142, "320499420166016": 142, "320652723312378": 142, "3206889629364014": 142, "3207": [142, 154], "3207123279571533": 142, "3207838535308838": 142, "3208": 142, "320806503295898": 142, "320934295654297": 142, "320948839187622": 142, "3209967613220215": 142, "321": 142, "3210": 142, "3210265636444092": 142, "3211073875427246": 142, "3211524486541748": 142, "3211596012115479": 142, "3211948871612549": 142, "321216106414795": 142, "321269": 147, "321291446685791": 142, "3213019371032715": 142, "3214168548583984": 142, "321434736251831": 142, "321646690368652": 142, "3216547966003418": 142, "3217213153839111": 142, "3217461109161377": 142, "3218398094177246": 142, "321920871734619": 142, "321925401687622": 142, "3219456672668457": 142, "322": 142, "3220016956329346": 142, "322009086608887": 142, "3221006393432617": 142, "32212233543396": 142, "322265863418579": 142, "3223421573638916": 142, "3223445415496826": 142, "3223459720611572": 142, "322383403778076": 142, "3224329948425293": 142, "3224942684173584": 142, "3225009441375732": 142, "3225312232971191": 142, "3225793838500977": 142, "322659969329834": 142, "322754859924316": 142, "322756052017212": 142, "3227760791778564": 142, "3227956295013428": 142, "3228960037231445": 142, "322922706604004": 142, "3230068683624268": 142, "323190689086914": 142, "3232": [147, 149], "3232107162475586": 142, "3232324123382568": 142, "3232483863830566": 142, "3232958316802979": 142, "3233580589294434": 142, "323399066925049": 142, "323401927947998": 142, "3234212398529053": 142, "3234291076660156": 142, "3234436511993408": 142, "3235526084899902": 142, "3235893249511719": 142, "3236539363861084": 142, "3236865997314453": 142, "323700189590454": 142, "3237805366516113": 142, "3238561153411865": 142, "323857307434082": 142, "3239049911499023": 142, "323928356170654": 142, "32393217086792": 142, "3240318298339844": 142, "3241": 142, "324110746383667": 142, "324124813079834": 142, "324197292327881": 142, "3242216110229492": 142, "3242528438568115": 142, "3243436813354492": 142, "324463": 147, "3245": 142, "3245809078216553": 142, "3246111869812012": 142, "3246703147888184": 142, "324697017669678": 142, "3247": 142, "324824571609497": 142, "324923038482666": 142, "324939250946045": 142, "3249568939208984": 142, "325": 134, "3250808715820312": 142, "3250e": 148, "3251309394836426": 142, "3252": 154, "3252527713775635": 142, "3253": 147, "3253626823425293": 142, "3253912925720215": 142, "325394868850708": 142, "325396537780762": 142, "3254022598266602": 142, "325425386428833": 142, "3254642486572266": 142, "3255300521850586": 142, "3255350589752197": 142, "325578689575195": 142, "325610876083374": 142, "3256981372833252": 142, "325916051864624": 142, "3259215354919434": 142, "325989007949829": 142, "3259975910186768": 142, "3260273933410645": 142, "3260300159454346": 142, "326045068912208e": 142, "32616": 142, "3261775970458984": 142, "326181411743164": 142, "3262174129486084": 142, "3262195587158203": 142, "32630": 142, "326332": 147, "326401710510254": 142, "3264036178588867": 142, "32642936706543": 142, "3264646530151367": 142, "32654": 142, "32669": 142, "3267276287078857": 142, "326781988143921": 142, "32679": 142, "326798439025879": 142, "32682": 142, "3268423080444336": 142, "3268508911132812": 142, "3268938064575195": 142, "3269398212432861": 142, "326945": 154, "32697": 142, "3269875049591064": 142, "3269925117492676": 142, "327": 147, "327061653137207": 142, "3270690441131592": 142, "3271": 142, "3271193504333496": 142, "327138066291809": 142, "327206134796143": 142, "3273024559021": 142, "327340841293335": 142, "3273693184601143e": 142, "3274": 142, "3274199962615967": 142, "3274774551391602": 142, "3274e": 147, "3275227546691895": 142, "32758": 142, "3276": 142, "3276023864746094": 142, "3276565074920654": 142, "327671766281128": 142, "3276760578155518": 142, "327679634094238": 142, "32780": 142, "3278987407684326": 142, "32791": 142, "328": [134, 142], "328026294708252": 142, "32811": 142, "3281428813934326": 142, "3281686305999756": 142, "328170": 154, "3281943798065186": 142, "32829": 142, "3282978534698486": 142, "328305959701538": 142, "328317642211914": 142, "328320": 147, "32861": 142, "3286287784576416": 142, "3286380767822266": 142, "32868": 142, "328682899475098": 142, "3287360668182373": 142, "3287432193756104": 142, "32884": 142, "3288536071777344": 142, "3289172649383545": 142, "328925371170044": 142, "3290": 154, "32900071144104": 142, "3291": 142, "32913": 142, "3291637897491455": 142, "3291895389556885": 142, "3292012214660645": 142, "3292176723480225": 142, "3293097019195557": 142, "3293111324310303": 142, "3293893337249756": 142, "329594612121582": 142, "3297109603881836": 142, "3297691345214844": 142, "3297839164733887": 142, "329831838607788": 142, "329838752746582": 142, "329838821195118": 142, "3298388211951195": 142, "3298735618591309": 142, "3298759460449219": 142, "3299": 142, "3299267292022705": 142, "32994": 142, "329966068267822": 142, "3299896717071533": 142, "329kb": 134, "32e": 147, "32it": [134, 147], "32m": 134, "33": [134, 142, 147, 149, 154], "330": [132, 157], "3300120830535889": 142, "3300280570983887": 142, "3300435543060303": 142, "3301033973693848": 142, "330114841461182": 142, "33018": 142, "33024": 142, "3302805423736572": 142, "3303513526916504": 142, "3303887844085693": 142, "33046": 142, "330498218536377": 142, "3305702209472656": 142, "3306326866149902": 142, "3306775093078613": 142, "330723762512207": 142, "330842971801758": 142, "3309025764465332": 142, "330951": 154, "330963134765625": 142, "331": 142, "33112": 142, "3311233520507812": 142, "3311259746551514": 142, "3312": 142, "331207513809204": 142, "331263780593872": 142, "3312792778015137": 142, "3312807083129883": 142, "331369161605835": 142, "331437110900879": 142, "3314990997314453": 142, "3315": 147, "3316125869750977": 142, "3316566944122314": 142, "331684589385986": 142, "3316898345947266": 142, "331771": 147, "331798791885376": 142, "331925630569458": 142, "331944": 147, "3320": 147, "3320136070251465": 142, "332045793533325": 142, "3321": [147, 149], "3321073055267334": 142, "3321218490600586": 142, "3321707248687744": 142, "3322746753692627": 142, "3322e": 147, "332315444946289": 142, "332390785217285": 142, "332423210144043": 142, "3324611186981201": 142, "3325448036193848": 142, "3325788974761963": 142, "3326191902160645": 142, "3326349258422852": 142, "3326852321624756": 142, "332725524902344": 142, "332828044891357": 142, "3329017162322998": 142, "333": 142, "3330309391021729": 142, "333033800125122": 142, "333111047744751": 142, "3331270217895508": 142, "333134651184082": 142, "3331446647644043": 142, "33316969871521": 142, "3331780433654785": 142, "3332": 142, "3332829475402832": 142, "3332839012145996": 142, "33333": 142, "3334": [147, 149], "3334248065948486": 142, "333517074584961": 142, "333563804626465": 142, "3336734771728516": 142, "3338091373443604": 142, "3338212966918945": 142, "333827018737793": 142, "3338439464569092": 142, "3339464664459229": 142, "333992004394531": 142, "333kb": 134, "3340": 142, "33402681350708": 142, "3341374397277832": 142, "334151029586792": 142, "334179162979126": 142, "3342": 142, "334205150604248": 142, "334219217300415": 142, "3343019485473633": 142, "3343119621276855": 142, "3343849182128906": 142, "3343946933746338": 142, "3344886302947998": 142, "3345": 142, "3345379829406738": 142, "3346": 147, "3348": [134, 147, 149], "33486008644104": 142, "3349251747131348": 142, "3350703716278076": 142, "3351006507873535": 142, "335119247436523": 142, "3351590633392334": 142, "335172414779663": 142, "335195541381836": 142, "3353586196899414": 142, "335458517074585": 142, "3354885578155518": 142, "335570812225342": 142, "335573196411133": 142, "335644006729126": 142, "3356544971466064": 142, "3356657028198242": 142, "3356988430023193": 142, "3358372800430516e": 142, "3358771800994873": 142, "3359043598175049": 142, "3359580039978027": 142, "335977554321289": 142, "3359827995300293": 142, "3360519": 147, "336062908172607": 142, "3361563682556152": 142, "33618": 142, "3363": 142, "3363287448883057": 142, "3363971710205078": 142, "336402416229248": 142, "3364198207855225": 142, "3364269733428955": 142, "33644700050354": 142, "3364481925964355": 142, "3364579677581787": 142, "3365504741668701": 142, "3365600109100342": 142, "3366971015930176": 142, "3367762565612793": 142, "336796522140503": 142, "33683": 142, "3368306159973145": 142, "3368988037109375": 142, "3368e": 148, "3369553089141846": 142, "336kb": 134, "337031364440918": 142, "3370904922485352": 142, "337142467498779": 142, "3372728824615479": 142, "3372867107391357": 142, "3373045921325684": 142, "3373498916625977": 142, "3373655080795288": 142, "3375048637390137": 142, "3375718593597412": 142, "337585210800171": 142, "337597370147705": 142, "3377220630645752": 142, "3377869129180908": 142, "337797164916992": 142, "3378899097442627": 142, "3379013538360596": 142, "3380217552185059": 142, "3380863666534424": 142, "3382065296173096": 142, "338233232498169": 142, "3382713794708252": 142, "3382906913757324": 142, "3382e": 147, "3383615016937256": 142, "3384180068969727": 142, "33843231201172": 142, "3384795188903809": 142, "3385": 142, "3385047912597656": 142, "3385303020477295": 142, "3385310173034668": 142, "3385498523712158": 142, "338609218597412": 142, "33863639831543": 142, "338747024536133": 142, "33880": 142, "3388481140136719": 142, "338882446289062": 142, "338906764984131": 142, "3390": 142, "3390297889709473": 142, "3390326499938965": 142, "3391337394714355": 142, "3391395807266235": 142, "3391649723052979": 142, "339189052581787": 142, "3392000198364258": 142, "3392448425292969": 142, "339318752288818": 142, "3394501209259033": 142, "3395001888275146": 142, "339552879333496": 142, "3395659923553467": 142, "3396356105804443": 142, "339889049530029": 142, "33e": 147, "33it": 134, "33m": 134, "33mb": 134, "34": [134, 139, 142, 145, 147, 149, 154], "340": 147, "3400249481201172": 142, "340078353881836": 142, "340090274810791": 142, "3401010036468506": 142, "34017014503479": 142, "3402507305145264": 142, "3402554988861084": 142, "3402996063232422": 142, "340580940246582": 142, "340583324432373": 142, "3406028747558594": 142, "3407": 154, "3407161235809326": 142, "3407559394836426": 142, "3407862186431885": 142, "3408067226409912": 142, "3408284187316895": 142, "3408637046813965": 142, "3408787250518799": 142, "3409662246704102": 142, "340972661972046": 142, "340kb": 134, "341": 147, "3410804271697998": 142, "3410842418670654": 142, "34123776": 158, "34126": 142, "34127": 142, "341275930404663": 142, "3412981033325195": 142, "3413128852844238": 142, "3413362503051758": 142, "3413493633270264": 142, "3413684368133545": 142, "3413825035095215": 142, "341383695602417": 142, "3413915634155273": 142, "3415448665618896": 142, "3415672779083252": 142, "3416450023651123": 142, "341688871383667": 142, "34169": 142, "3418238162994385": 142, "341947555541992": 142, "3419592380523682": 142, "3419842720031738": 142, "34202": 142, "3420565128326416": 142, "342222": [147, 149], "3422367572784424": 142, "34232": 142, "342400074005127": 142, "342421054840088": 142, "3424627780914307": 142, "3425953388214111": 142, "3426668643951416": 142, "3427481651306152": 142, "342820167541504": 142, "3428738117218018": 142, "34289": 142, "34292": 142, "34293": 142, "34293794631958": 142, "3429481983184814": 142, "342kb": 134, "343": 147, "343005657196045": 142, "343006": [142, 151], "343039": [142, 151], "3430967330932617": 142, "3431317806243896": 142, "3431615829467773": 142, "3432": 142, "3432364463806152": 142, "3432390689849854": 142, "343315601348877": 142, "343327045440674": 142, "34337": 142, "343394": [142, 151], "343416690826416": 142, "3434257507324219": 142, "3435609340667725": 142, "343595266342163": 142, "3436026573181152": 142, "343605995178223": 142, "343615": [142, 151], "3436205387115479": 142, "34371": 142, "3437399864196777": 142, "343833565711975": 142, "3438389301300049": 142, "3438940048217773": 142, "3438968658447266": 142, "343954086303711": 142, "3441": 142, "344237": [142, 151], "344251": [142, 151], "3442718982696533": 142, "344329833984375": 142, "3444092273712158": 142, "3445122241973877": 142, "3445353507995605": 142, "34460": 142, "3446080684661865": 142, "3446283340454102": 142, "344635": [142, 151], "34467": 142, "344677448272705": 142, "3446869850158691": 142, "3446e": 147, "3447742462158203": 142, "344782590866089": 142, "3447844982147217": 142, "3448822498321533": 142, "344926357269287": 142, "3449692726135254": 142, "344kb": 134, "344m": 129, "345": 134, "3450": [147, 149], "345041036605835": 142, "3450496196746826": 142, "3450803756713867": 142, "345130205154419": 142, "34523606300354": 142, "3452811241149902": 142, "345289707183838": 142, "345327615737915": 142, "345352": [142, 151], "3453850746154785": 142, "345403790473938": 142, "345459222793579": 142, "3454880714416504": 142, "3455069065093994": 142, "3456203937530518": 142, "34565544128418": 142, "3456597328186035": 142, "3457231521606445": 142, "3457846641540527": 142, "3458011150360107": 142, "3458466529846191": 142, "345883846282959": 142, "3459": 147, "345911": [142, 151], "345940113067627": 142, "3459577560424805": 142, "3459646701812744": 142, "345kb": 134, "346010684967041": 142, "3463196754455566": 142, "3464": 142, "3464457988739014": 142, "346510410308838": 142, "3465402126312256": 142, "346653": [142, 151], "3467411994934082": 142, "346818": [142, 151], "3469": 142, "346926212310791": 142, "3469526767730713": 142, "3469903469085693": 142, "34709203243255615": 142, "3471400737762451": 142, "347150444984436": 142, "3471670150756836": 142, "347207069396973": 142, "3472275733947754": 142, "3473234176635742": 142, "347500801086426": 142, "347528": [142, 151], "347535610198975": 142, "3475470542907715": 142, "3475472927093506": 142, "3475573062896729": 142, "3475983142852783": 142, "347665548324585": 142, "3477115631103516": 142, "3477156162261963": 142, "347722053527832": 142, "347813367843628": 142, "347818374633789": 142, "347835063934326": 142, "3478724956512451": 142, "3479": 142, "347f4183465810e9b384e7a033baefc7": 129, "3480169773101807": 142, "3481": 142, "3481407165527344": 142, "34815": 130, "3481919765472412": 142, "3482201099395752": 142, "3483": 154, "3483014106750488": 142, "3483142852783203": 142, "3483211994171143": 142, "3483319282531738": 142, "3483567237854004": 142, "348366": [142, 151], "3484647274017334": 142, "3485774993896484": 142, "3486": 142, "348629": [142, 151], "3486435413360596": 142, "348680019378662": 142, "3487024307250977": 142, "3487908840179443": 142, "3488142490386963": 142, "34885835647583": 142, "348901238291901": 134, "349015474319458": 142, "3490221500396729": 142, "3491125106811523": 142, "3492977619171143": 142, "34932": 142, "3493506908416748": 142, "3493602275848389": 142, "3493962287902832": 142, "349496": [142, 151], "3495571613311768": 142, "3496959209442139": 142, "349719": [142, 151], "349719_h": 151, "349719_nnh": 151, "349743127822876": 142, "3498": 142, "3498088121414185": 142, "349813": [142, 151], "34982": 142, "349836826324463": 142, "3499": 142, "349907398223877": 142, "349971055984497": 142, "349kb": 134, "34e": 147, "34g": [129, 130], "34it": [134, 147], "34m": 134, "35": [134, 142, 147, 148, 149, 154, 158], "350": [132, 142, 157], "3500232696533203": 142, "350130081176758": 142, "3501372337341309": 142, "3501396179199219": 142, "35015": 142, "3501904010772705": 142, "3503327369689941": 142, "3504": 142, "3505504131317139": 142, "3505709171295166": 142, "350576400756836": 142, "35062026977539": 142, "3506286144256592": 142, "350715160369873": 142, "3507733345031738": 142, "350792407989502": 142, "3508076667785645": 142, "350839376449585": 142, "350k": 129, "350kb": 134, "351": 142, "3510470390319824": 142, "35105562210083": 142, "35108566e": 134, "351100206375122": 142, "3512520790100098": 142, "3513157367706299": 142, "351395845413208": 142, "351511478424072": 142, "35152": 142, "3515777587890625": 142, "351583867100999e": 142, "351602077484131": 142, "3517436981201172": 142, "3517932891845703": 142, "351945161819458": 142, "3519668579101562": 142, "3520097732543945": 142, "352039337158203": 142, "352144718170166": 142, "3521630764007568": 142, "352198123931885": 142, "35220": 142, "3522801399230957": 142, "3523423671722412": 142, "3524789810180664": 142, "3524823188781738": 142, "3525": 142, "3525927066802979": 142, "3526256084442139": 142, "3526653051376343": 142, "35267": 142, "35269": 142, "3526921272277832": 142, "3527169227600098": 142, "3527429103851318": 142, "3527522087097168": 142, "3527779579162598": 142, "352802753448486": 142, "352806091308594": 142, "3528709411621094": 142, "3529": 142, "3529410362243652": 142, "3529465198516846": 142, "3530259132385254": 142, "3531017303466797": 142, "3531324863433838": 142, "3531334400177002": 142, "3532": 142, "3532004356384277": 142, "3532624244689941": 142, "3534": 142, "3534464836120605": 142, "3534815311431885": 142, "3535053730010986": 142, "3535075187683105": 142, "3535113334655762": 142, "3536350727081299": 142, "3536581993103027": 142, "353693962097168": 142, "3537037372589111": 142, "3537445068359375": 142, "3537650108337402": 142, "353798": 154, "3538086414337158": 142, "3539": 142, "3539109230041504": 142, "35398268699646": 142, "3539915084838867": 142, "3542052507400513": 142, "3542697429656982": 142, "3544180393218994": 142, "3544800281524658": 142, "3544867038726807": 142, "3544881343841553": 142, "3545": 153, "3546006679534912": 142, "3549256324768066": 142, "3550152778625488": 142, "3550183773040771": 142, "355116367340088": 142, "3551502227783203": 142, "3553": 142, "35539": 142, "3554413318634033": 142, "355459690093994": 142, "3555097579956055": 142, "3555243015289307": 142, "3555974960327148": 142, "3556790351867676": 142, "3557608127593994": 142, "3557624816894531": 142, "3559324741363525": 142, "3561270236968994": 142, "3561458587646484": 142, "3562424182891846": 142, "3562567234039307": 142, "3562712669372559": 142, "356273651123047": 142, "3563334941864014": 142, "3565940856933594": 142, "3566086292266846": 142, "35663": 142, "356661081314087": 142, "3567": 142, "3567519187927246": 142, "3567638397216797": 142, "35677170753479": 142, "3567912578582764": 142, "3568110466003418": 142, "356844186782837": 142, "356908798217773": 142, "356kb": 134, "357": 147, "3570640087127686": 142, "3571": 134, "3571455478668213": 142, "35715913772583": 142, "3572289943695068": 142, "3572304248809814": 142, "3572556972503662": 142, "3572983741760254": 142, "3573012351989746": 142, "357304096221924": 142, "3573637008666992": 142, "3574": 142, "3574352264404297": 142, "3574578762054443": 142, "35746": 142, "3574695587158203": 142, "3574e": 147, "3575139045715332": 142, "3575549125671387": 142, "3576": 142, "3576914072036743": 142, "3577": 138, "3578131198883057": 142, "3578269481658936": 142, "357961654663086": 142, "3579659461975098": 142, "358": 142, "358004570007324": 142, "3580060005187988": 142, "3580389022827148": 142, "3580691814422607": 142, "358149766921997": 142, "358257": 154, "3582732677459717": 142, "35835": 142, "3583617210388184": 142, "3584818840026855": 142, "358492136001587": 142, "358492374420166": 142, "3585383892059326": 142, "3586742877960205": 142, "35869": 142, "3587": 142, "3587844371795654": 142, "358875751495361": 142, "3588969707489014": 142, "3588e": 147, "358921": [147, 149], "35892145140813": [147, 149], "3589794635772705": 142, "3589811325073242": 142, "358986": [147, 149], "359": [132, 157], "3590123653411865": 142, "359048": [147, 149], "35906": 142, "359102": [147, 149], "359163": [147, 149], "359175443649292": 142, "3592": 142, "359236478805542": 142, "3593554496765137": 142, "3593597412109375": 142, "359361": [147, 149], "3593969345092773": 142, "3595": 142, "359633207321167": 142, "359692": [147, 149], "3598623275756836": 142, "3598885536193848": 142, "3599121570587158": 142, "35991783e": 134, "35991821e": 134, "35994553565979": 142, "35e": 147, "35g": 129, "35it": 134, "35m": 134, "36": [134, 138, 142, 147, 149, 154], "3600": 154, "3600997924804688": 142, "360107421875": 142, "3601312637329102": 142, "3602": 142, "3603284358978271": 142, "3603479862213135": 142, "3603639602661133": 142, "3604402542114258": 142, "3604788780212402": 142, "36053": 142, "360631": [147, 149], "3606624603271484": 142, "3607454299926758": 142, "3608593940734863": 142, "3608686923980713": 142, "3608920574188232": 142, "3609": 147, "3609027862548828": 142, "360999584197998": 142, "3610448837280273": 142, "3610804080963135": 142, "3610968589782715": 142, "361100673675537": 142, "3611247539520264": 142, "361135721206665": 142, "3612325191497803": 142, "3612778186798096": 142, "3615131378173828": 142, "36153244972229": 142, "361534833908081": 142, "361537218093872": 142, "3615481853485107": 142, "3616671562194824": 142, "361680": [147, 149], "3618": 142, "3618192672729492": 142, "361838340759277": 142, "36191222071647644": 142, "3619768619537354": 142, "361987829208374": 142, "361kb": 134, "362": [134, 142], "3620033264160156": 142, "3621": 144, "3621573448181152": 142, "36216": 142, "3622428178787231": 142, "3622536659240723": 142, "3622736930847168": 142, "3623": 142, "3623113632202148": 142, "362377405166626": 142, "3624460697174072": 142, "362555980682373": 142, "3625645637512207": 142, "3625998497009277": 142, "3626224994659424": 142, "3628699779510498": 142, "3629": 151, "362kb": 134, "363": [142, 147], "3630": 132, "3630762100219727": 142, "3631131649017334": 142, "3633043766021729": 142, "3633124828338623": 142, "363464593887329": 142, "363468170166016": 142, "3635196685791016": 142, "3635201454162598": 142, "3635313510894775": 142, "3636455535888672": 142, "363649845123291": 142, "3636753559112549": 142, "363700270652771": 142, "3637490272521973": 142, "363769": 154, "363770008087158": 142, "3637866973876953": 142, "3637950420379639": 142, "36381": 142, "363875865936279": 142, "3639": 132, "3639776706695557": 142, "364": 138, "364027976989746": 142, "3640308380126953": 142, "3640527725219727": 142, "364100456237793": 142, "364184856414795": 142, "36420450e": [147, 149], "3642244338989258": 142, "3643290996551514": 142, "364330291748047": 142, "364387035369873": 142, "36452654004096985": 142, "364580062942467": 156, "364633560180664": 142, "3646447658538818": 142, "36466383934021": 142, "364682674407959": 142, "3648": 142, "3648529052734375": 142, "3649144172668457": 142, "3649694919586182": 142, "3649780750274658": 142, "365": 134, "3650": 142, "365049123764038": 142, "365095615386963": 142, "3652966022491455": 142, "3653228282928467": 142, "36539": 142, "3654870986938477": 142, "3655093908309937": 142, "365527868270874": 142, "3656196594238281": 142, "3657": 142, "3657398223876953": 142, "36577": 142, "36582": 142, "3658277988433838": 142, "365832": 154, "3659255504608154": 142, "3659956455230713": 142, "3660118579864502": 142, "3660714626312256": 142, "3661201000213623": 142, "3661346435546875": 142, "366185188293457": 142, "3662168979644775": 142, "366226": [147, 149], "3662331104278564": 142, "3663": 142, "3663911819458008": 142, "36641": 142, "3665034770965576": 142, "36650970578193665": 142, "3665273189544678": 142, "36653536": 151, "3666319847106934": 142, "366634368896484": 142, "3666688203811646": 142, "366753101348877": 142, "3668": 142, "3668475151062012": 142, "3668546676635742": 142, "3668668270111084": 142, "36689567565918": 142, "3669366836547852": 142, "3669488430023193": 142, "366950511932373": 142, "366958141326904": 142, "3670117855072021": 142, "367156982421875": 142, "3671703338623047": 142, "3671793937683105": 141, "3672330379486084": 142, "3673": [147, 149], "3673601150512695": 142, "36751": 142, "3675181865692139": 142, "3675448894500732": 142, "367624044418335": 142, "3677318096160889": 142, "3678048849105835": 142, "3679": 142, "3679178953170776": 142, "3679544925689697": 142, "367kb": 134, "3680357933044434": 142, "3680520057678223": 142, "3681106567382812": 142, "368133544921875": 142, "3681585788726807": 142, "3682105541229248": 142, "3683056831359863": 142, "36833190917969": 133, "3686614036560059": 142, "3687365055084229": 142, "368801": [147, 149], "3688592910766602": 142, "368865": 154, "3689358234405518": 142, "368de083dafdc3bbdb560d35e2a102c0": 129, "369": 147, "3690011501312256": 142, "369074821472168": 142, "3691635131835938": 142, "369182109832764": 142, "3692777752876282": 142, "3693253993988037": 142, "369335174560547": 142, "3693495988845825": 142, "3694043159484863": 142, "3694393634796143": 142, "369495153427124": 142, "369523048400879": 142, "3695802688598633": 142, "369605541229248": 142, "3697965145111084": 142, "3697993755340576": 142, "3697f04faf04251a23da8b88a78209f7": 129, "3698": 142, "36988": 142, "3699": 147, "369903564453125": 142, "3699262142181396": 142, "3699960708618164": 142, "369kb": 134, "36ba974d80c20ff636431f7c0ad225da": 129, "36e": 147, "36it": [134, 147], "36m": 134, "37": [134, 142, 144, 147, 149, 154], "370": 147, "370044708251953": 142, "3700770139694214": 142, "3700909614562988": 142, "3701": 142, "3701207637786865": 142, "37013840675354": 142, "3701417446136475": 142, "3701446056365967": 142, "3701629638671875": 142, "3701808452606201": 142, "3701870441436768": 142, "3703076839447021": 142, "3704": 142, "3704159259796143": 142, "3705031871795654": 142, "3705266201398682e": 142, "3705266254700069e": 142, "3705742359161377": 142, "370720386505127": 142, "3707396984100342": 142, "3708": 142, "370825": [147, 149], "37091": 142, "370952": 154, "3709e": 147, "3710262775421143": 142, "371078": [147, 149], "37116813659668": 142, "3711869716644287": 142, "3712141513824463": 142, "3712456226348877": 142, "371281623840332": 142, "371319055557251": 142, "3713264465332031": 142, "3713417053222656": 142, "37149977684021": 142, "3715": 142, "3715794086456299": 142, "37164306640625": 142, "3717145919799805": 142, "3718452453613281": 142, "3719379901885986": 142, "3719580173492432": 142, "3719639778137207": 142, "371kb": 134, "372": 142, "3721237182617188": 142, "3722114562988281": 142, "3722624778747559": 142, "3723599910736084": 142, "3725454807281494": 142, "3726730346679688": 142, "3726859092712402": 142, "3727397918701172": 142, "372783660888672": 142, "3728740215301514": 142, "3728883266448975": 142, "3728933334350586": 142, "3729159832000732": 142, "372kb": 134, "3730590343475342": 142, "3731815814971924": 142, "3732": 142, "3732588291168213": 142, "373375654220581": 142, "3734402656555176": 142, "373509407043457": 142, "3736968040466309": 142, "3737082481384277": 142, "3737483024597168": 142, "3737845420837402": 142, "3739399909973145": 142, "3740": 142, "3740181922912598": 142, "37405": 142, "3740527629852295": 142, "3740952014923096": 142, "374166488647461": 142, "3742": 134, "3742023706436157": 142, "374387264251709": 142, "3744500875473022": 142, "37447402975522e": 142, "3745520114898682": 142, "37461519241333": 142, "3746702671051025": 142, "3747": 142, "374725103378296": 142, "37473726272583": 142, "3748130798339844": 142, "37483116e": 134, "3749": 154, "374910593032837": 142, "3749151229858398": 142, "3750708103179932": 142, "3750888109207153": 142, "3751035928726196": 142, "3751261234283447": 142, "375309944152832": 142, "3753314018249512": 142, "3754377365112305": 142, "3754522800445557": 142, "3754873275756836": 142, "375589370727539": 142, "3756074905395508": 142, "3756103515625": 142, "375730514526367": 142, "3758273124694824": 142, "3758370876312256": 142, "375847339630127": 142, "3758529424667358": 142, "3758633136749268": 142, "3758931159973145": 142, "3759632110595703": 142, "3759636878967285": 142, "375972032546997": 142, "376": 134, "3760392665863037": 142, "3760416507720947": 142, "376068353652954": 142, "3760e": 147, "3762": 142, "376258373260498": 142, "376296997070312": 142, "3762977123260498": 142, "3763737678527832": 142, "3764677047729492": 142, "3765418529510498": 142, "376551866531372": 142, "376607894897461": 142, "3766233921051025": 142, "3766567707061768": 142, "3767": 153, "3767255544662476": 142, "3767509460449219": 142, "3768713474273682": 142, "376904010772705": 142, "376943588256836": 142, "376991271972656": 142, "376kb": 134, "3770065307617188": 142, "3770637512207031": 142, "377089262008667": 142, "377100944519043": 142, "3771804571151733": 142, "3772": 142, "3772988319396973": 142, "3773016929626465": 142, "377399206161499": 142, "3774067163467407": 142, "377486228942871": 142, "3774919509887695": 142, "377493143081665": 142, "3775235414505005": 142, "3776096105575562": 142, "3776335716247559": 142, "3776366710662842": 142, "3777363300323486": 142, "3779": 142, "3779704570770264": 142, "377kb": 134, "378": 147, "378007411956787": 142, "37808": 142, "3780975341796875": 142, "3781009912490845": 142, "378206": 154, "378269076347351": 142, "3783090114593506": 142, "3783280849456787": 142, "378365159034729": 142, "3785": 142, "3785362243652344": 142, "3786277770996094": 142, "378653049468994": 142, "378661870956421": 142, "3787": 142, "37881851196289": 142, "3789762519649225": 132, "378976583480835": 142, "3790361881256104": 142, "3790671825408936": 142, "3791": 142, "379103183746338": 142, "3791625499725342": 142, "37920": 142, "379272699356079": 142, "3793060779571533": 142, "379361391067505": 142, "379402995109558": 142, "379411220550537": 142, "379518747329712": 142, "379541277885437": 142, "3795549869537354": 142, "3795844316482544": 142, "3795890808105469": 142, "3797": 142, "3797e": 147, "37984037399292": 142, "3798446655273438": 142, "3799066543579102": 142, "3799078464508057": 142, "3799419403076172": 142, "3799598217010498": 142, "37e": 147, "37it": 134, "37m": 134, "38": [134, 142, 144, 147, 149, 153, 154], "380": 142, "380000114440918": 142, "3800249099731445": 142, "38011": 142, "380164623260498": 142, "380232810974121": 142, "3802449703216553": 142, "380366325378418": 142, "3804": 142, "3804116249084473": 142, "3804655075073242": 142, "3805127143859863": 142, "3805437088012695": 142, "380599021911621": 142, "3807": 142, "380730152130127": 142, "380782127380371": 142, "3808503150939941": 142, "380983591079712": 142, "381": 142, "3811278343200684": 142, "381173610687256": 142, "3814239501953125": 142, "38142991065979": 142, "38149490356445315": 147, "3814952373504639": 142, "381525": 156, "3815317153930664": 142, "3816131353378296": 142, "3816e": 147, "3817": 151, "3817213773727417": 142, "3817460536956787": 142, "38175106048584": 142, "381770372390747": 142, "3819456100463867": 142, "381953": 154, "381e72fd8b9c055065fd3afff6b0945b": 131, "381kb": 134, "3820557594299316": 142, "3821425437927246": 142, "382220268249512": 142, "382286548614502": 142, "3822903633117676": 142, "3822941780090332": 142, "3823106288909912": 142, "3823540210723877": 142, "3824713230133057": 142, "3825039863586426": 142, "382579326629639": 142, "3827": 142, "382723331451416": 142, "3827311992645264": 142, "3828551769256592": 142, "3829": 142, "38292694091797": 142, "382985591888428": 142, "3829991817474365": 142, "3830": 142, "383059024810791": 142, "3830652236938477": 142, "3831138610839844": 142, "383162498474121": 142, "3831682205200195": 142, "3832387924194336": 142, "3833": 154, "383325576782227": 142, "383375644683838": 142, "383462905883789": 142, "3835537433624268": 142, "383556842803955": 142, "3835902214050293": 142, "3837052583694458": 142, "3837494850158691": 142, "3837964534759521": 142, "3839": 142, "3839027881622314": 142, "3839192390441895": 142, "3840081691741943": 142, "3841667175292969": 142, "3841767311096191": 142, "3841800689697266": 142, "3842942714691162": 142, "3842947483062744": 142, "3843586444854736": 142, "384361743927002": 142, "3843839168548584": 142, "384437084197998": 142, "3844903707504272": 142, "384606122970581": 142, "3846228122711182": 142, "3846491277217865": 142, "3847064971923828": 142, "3848367929458618": 142, "3848626613616943": 142, "3849": 142, "3849129676818848": 142, "38494": 142, "3849990367889404": 142, "384kb": 134, "3850419521331787": 142, "38511": 142, "385337829589844": 142, "385339": [147, 149], "385362148284912": 142, "3854": 142, "3854162693023682": 142, "3854246139526367": 142, "3854377269744873": 142, "3855080604553223": 142, "385572910308838": 142, "3855834007263184": 142, "385610580444336": 142, "3856201171875": 142, "385627269744873": 142, "3857204914093018": 142, "3857572078704834": 142, "3857988119125366": 142, "385809063911438": 142, "385878086090088": 142, "38605": 142, "3860561847686768": 142, "3860750198364258": 142, "3861": 142, "386130690574646": 142, "3861329555511475": 142, "386169195175171": 142, "3861770629882812": 142, "3862": 142, "3862524032592773": 142, "386255264282227": 142, "386328935623169": 142, "386343240737915": 142, "3863849639892578": 142, "386388": 154, "3864": 154, "3864150047302246": 142, "3864589929580688": 142, "386462926864624": 142, "3865139484405518": 142, "3865633010864258": 142, "3865e": 147, "3866877555847168": 142, "3867104053497314": 142, "3868224620819092": 142, "386849": [147, 149], "3868509531021118": 142, "3868889808654785": 142, "386c99407fe63080d26cda525dfdd8cd": 129, "386kb": 134, "387": 147, "3870915174484253": 142, "3871": 142, "3871216773986816": 142, "387258529663086": 142, "3872627019882202": 142, "387540817260742": 142, "387598991394043": 142, "3876104354858398": 142, "3876497745513916": 142, "3876705169677734": 142, "3877499103546143": 142, "387773036956787": 142, "3879456520080566": 142, "387947": [147, 149], "3879659175872803": 142, "387984275817871": 142, "387kb": 134, "3880": 142, "3880176544189453": 142, "3880600929260254": 142, "3880786895751953": 142, "3881373405456543": 142, "3881479501724243": 142, "388167142868042": 142, "388200283050537": 142, "38820481300354": 142, "3882160186767578": 142, "3882372379302979": 142, "3882527351379395": 142, "3883076906204224": 142, "3883517980575562": 142, "38848352432251": 142, "388519048690796": 142, "388585090637207": 142, "3886566162109375": 142, "3887126445770264": 142, "3887577056884766": 142, "3887600898742676": 142, "3887968063354492": 142, "3888542652130127": 142, "388858675956726": 142, "388870": 154, "3888781070709229": 142, "3889665603637695": 142, "3889694213867188": 142, "389087677001953": 142, "3891087770462036": 142, "3891692161560059": 142, "3891868591308594": 142, "3893072605133057": 142, "389322280883789": 142, "389383792877197": 142, "3893940448760986": 142, "38939905166626": 142, "3894402980804443": 142, "3894414901733398": 142, "3895957469940186": 142, "3896": 142, "38970": 142, "3897252082824707": 142, "389742374420166": 142, "3897703886032104": 142, "3898775577545166": 142, "3899606466293335": 142, "38e": 147, "38it": 134, "38m": 134, "38mb": 134, "39": [132, 134, 142, 144, 147, 149, 153, 154], "390": [133, 134, 147], "3900301456451416": 142, "390072226524353": 142, "390095829963684": 142, "39019203186035": 142, "390303134918213": 142, "3903987407684326": 142, "3904147148132324": 142, "3906357288360596": 142, "3906784057617188": 142, "390690803527832": 142, "3907794952392578": 142, "3907818794250488": 142, "390812873840332": 142, "390882968902588": 142, "3909": 142, "3909697532653809": 142, "390kb": 134, "3910421133041382": 142, "3910467624664307": 142, "3911278247833252": 142, "3911495208740234": 142, "3911759853363037": 142, "3912872076034546": 142, "3913131952285767": 142, "3913190364837646": 142, "3913755416870117": 142, "3913758993148804": 142, "3914084434509277": 142, "3914222717285156": 142, "3914527893066406": 142, "3915302753448486": 142, "391597": 154, "391618251800537": 142, "3916370868682861": 142, "3916540145874023": 142, "391674518585205": 142, "3917127847671509": 142, "391719102859497": 142, "391753911972046": 142, "3919098377227783": 142, "3919265270233154": 142, "392032265663147": 142, "3920403718948364": 142, "39204740524292": 142, "3922": 142, "3922827243804932": 142, "3922834396362305": 142, "3923": 134, "3923542499542236": 142, "392455816268921": 142, "3925": 142, "3925232887268066": 142, "3925414085388184": 142, "3925726413726807": 142, "3926079273223877": 142, "392620086669922": 142, "392674446105957": 142, "3927": 142, "3927228450775146": 142, "3927357196807861": 142, "3927642107009888": 142, "39280891418457": 142, "3928089141845703": 142, "3928368091583252": 142, "39290452003479": 142, "3929194211959839": 142, "393": 142, "3930": 142, "3930089473724365": 142, "3930113315582275": 142, "3930156230926514": 142, "3930611610412598": 142, "3931505680084229": 142, "3931944370269775": 142, "39323425e": 134, "393263816833496": 142, "393297791481018": 142, "393373966217041": 142, "3934": 142, "3934794664382935": 142, "3934826850891113": 142, "3935620784759521": 142, "3936545848846436": 142, "3937939405441284": 142, "3938": 142, "39385986328125": 142, "3938806056976318": 142, "3939127922058105": 142, "3939621448516846": 142, "3940556049346924": 142, "394139289855957": 142, "3941727876663208": 142, "3941898345947266": 142, "3942687511444092": 142, "394308090209961": 142, "3944": 142, "3944270610809326": 142, "394506573677063": 142, "394508123397827": 142, "394533395767212": 142, "3945426940917969": 142, "3947036266326904": 142, "394745111465454": 142, "3947771787643433": 142, "3948320150375366": 142, "394895315170288": 142, "3948e": 147, "394977331161499": 142, "395": 142, "3951": 142, "3951380252838135": 142, "3951611518859863": 142, "395237445831299": 142, "395238876342773": 36, "3952628374099731": 142, "3953065872192383": 142, "3953641653060913": 142, "3953776359558105": 142, "3953793048858643": 142, "3954143524169922": 142, "3954150676727295": 142, "3955053091049194": 142, "3955624103546143": 142, "3956116437911987": 142, "39562156796455383": 142, "3956286907196045": 142, "3956494331359863": 142, "3956754207611084": 142, "39569091796875": 142, "3956940174102783": 142, "3957892656326294": 142, "3959711790084839": 142, "3959765434265137": 142, "39601469039917": 142, "3960273265838623": 142, "3960628509521484": 142, "3961293697357178": 142, "3961608409881592": 142, "39618436": 151, "3963878154754639": 142, "396451711654663": 142, "396481990814209": 142, "3965625762939453": 142, "3966083526611328": 142, "3966712951660156": 142, "3966736793518066": 142, "3966991901397705": 142, "3967078924179077": 142, "3967409133911133": 142, "3968122005462646": 142, "3968156576156616": 142, "3968305587768555": 142, "3968408107757568": 142, "3968627452850342": 142, "3969388008117676": 142, "396967887878418": 142, "396kb": 134, "39708923": [147, 149], "3970990180969238": 142, "3971078395843506": 142, "39711594581604": 142, "39715576171875": 142, "397314": [147, 149], "3973548412322998": 142, "397355079650879": 142, "3973e": 147, "3974881172180176": 142, "3976149559020996": 142, "397638320922852": 142, "397670030593872": 142, "3977497816085815": 142, "397752285003662": 142, "3977818489074707": 142, "3977985382080078": 142, "3979201316833496": 142, "397932052612305": 142, "3979721069335938": 142, "397989273071289": 142, "3980324268341064": 142, "3980557918548584": 142, "3981366157531738": 142, "3982009887695312": 142, "3982884883880615": 142, "3984274864196777": 142, "3984692096710205": 142, "398555040359497": 142, "398566484451294": 142, "3985886573791504": 142, "398659": 144, "3987703323364258": 142, "3988244533538818": 142, "3988436460494995": 142, "398878812789917": 142, "398890733718872": 142, "3989038467407227": 142, "3989460468292236": 142, "39896559715271": 142, "3989914655685425": 142, "3989932537078857": 142, "399": 142, "3990633487701416": 142, "39912331104278564": 142, "3991398811340332": 142, "3991448879241943": 142, "3991944789886475": 142, "399231195449829": 142, "3992414474487305": 142, "399266242980957": 142, "3992741107940674": 142, "3994898796081543": 142, "399503231048584": 142, "3995532989501953": 142, "399565577507019": 142, "3996": [147, 149], "3997329473495483": 142, "3997844457626343": 142, "3998332023620605": 142, "3998377323150635": 142, "3998439311981201": 142, "3999": 142, "399kb": 134, "39e": 147, "39it": 134, "39m": 134, "39mb": 134, "3c1aaf790659f7ff89bf1eed8b396b63": 129, "3cc90425ec042a70085ba7eb2916a79a": 129, "3d": [93, 147], "3e": 141, "3edcf80": [147, 158], "3f": 132, "3g": 129, "3it": 134, "3x": 98, "3x3": [147, 149, 153], "4": [32, 66, 79, 82, 94, 99, 129, 130, 131, 132, 133, 134, 139, 141, 142, 144, 145, 147, 148, 149, 151, 153, 154, 156, 157, 158], "40": [51, 52, 107, 134, 142, 144, 147, 149, 154, 156], "400": 134, "400073528289795": 142, "4001": 147, "4001007080078125": 142, "4001502990722656": 142, "4001893997192383": 142, "4002177715301514": 142, "4003255367279053": 142, "400382": 156, "4003853797912598": 142, "4004": 142, "4004316329956055": 142, "4005911350250244": 142, "4006142616271973": 142, "4006328582763672": 142, "4007023572921753": 142, "4008": 142, "400kb": 134, "401": 134, "4010636806488037": 142, "4010642766952515": 142, "4011081457138062": 142, "4011234045028687": 142, "4011406898498535": 142, "4012103080749512": 142, "4012149572372437": 142, "4012211561203003": 142, "40127944946289": 142, "4012956619262695": 142, "4015": 154, "4015120267868042": 142, "4015204906463623": 142, "40155029296875": 142, "4015783071517944": 142, "4016": 142, "4016488790512085": 142, "4016644954681396": 142, "401700496673584": 142, "401719331741333": 142, "4017353057861328": 142, "401753": [147, 149], "40190589427948": 142, "401921272277832": 142, "401961088180542": 142, "4019768238067627": 142, "402": [132, 142, 157], "4020051956176758": 142, "4020270109176636": 142, "4020378589630127": 142, "4020442962646484": 142, "4021410942077637": 142, "4021899700164795": 142, "4022": 142, "4022202491760254": 142, "4022997617721558": 142, "4023241996765137": 142, "4023878574371338": 142, "4024741649627686": 142, "40249764919281": 142, "4025472402572632": 142, "402559": 154, "4025620222091675": 142, "4025659561157227": 142, "4026": 142, "4028191566467285": 142, "402839183807373": 142, "4029104709625244": 142, "402942180633545": 142, "4030": 142, "4030332565307617": 142, "4030470848083496": 142, "4030663967132568": 142, "403120": 147, "403290033340454": 142, "4033198356628418": 142, "403357744216919": 142, "403368353843689": 142, "4034709930419922": 142, "403477430343628": 142, "4034899473190308": 142, "4035067558288574": 142, "4035289287567139": 142, "403550148010254": 142, "403609275817871": 142, "4036186933517456": 142, "4036197662353516": 142, "4036281108856201": 142, "4036880731582642": 142, "4037588834762573": 142, "403761386871338": 142, "4037816524505615": 142, "403792381286621": 142, "403841495513916": 142, "4038653373718262": 142, "4039056301116943": 142, "4039111137390137": 142, "4039113521575928": 142, "403e": 142, "404": 142, "4043": 142, "40431149b27b64ce1fb40cac4e2e064b": 129, "4043700695037842": 142, "4043734073638916": 142, "404381275177002": 142, "404411792755127": 142, "404426097869873": 142, "404534101486206": 142, "4045379161834717": 142, "4046034812927246": 142, "4046127796173096": 142, "4046363830566406": 142, "4047198295593262": 142, "404800534248352": 142, "4048094749450684": 142, "4048376083374023": 142, "404838": [147, 149], "404849": [147, 149], "4048850536346436": 142, "404918909072876": 142, "4049410820007324": 142, "404968500137329": 142, "4049992561340332": 142, "405": [142, 147], "4050203561782837": 142, "4050565958023071": 142, "4051754474639893": 142, "4052": 142, "4052708148956299": 142, "405350923538208": 142, "4054243564605713": 142, "4054439067840576": 142, "405531406402588": 142, "4057930707931519": 142, "4058003425598145": 142, "405829906463623": 142, "4058668613433838": 142, "4059627056121826": 142, "405kb": 134, "406": 142, "4060642719268799": 142, "4061150550842285": 142, "406130075454712": 142, "4061546325683594": 142, "406221866607666": 142, "4063314199447632": 142, "4063847064971924": 142, "4064": 142, "4064035415649414": 142, "406445026397705": 142, "4064815044403076": 142, "4065232276916504": 142, "4065399169921875": 142, "4065902829170227": 142, "4066151976585388": 142, "406616747379303": 142, "40667325258255005": 142, "40669065713882446": 142, "4066935181617737": 142, "40672987699508667": 142, "4067420959472656": 142, "4067618250846863": 142, "4067792892456055": 142, "4068": 142, "4068590998649597": 142, "4068872928619385": 142, "4068947434425354": 142, "4069019556045532": 142, "4069098234176636": 142, "406985342502594": 142, "4069998264312744": 142, "406kb": 134, "4070": [147, 149], "4070101976394653": 142, "4070188999176025": 142, "4070647358894348": 142, "4071003794670105": 142, "407111": 154, "4071881771087646": 142, "4072742462158203": 142, "4072785377502441": 142, "4072861671447754": 142, "40729719400405884": 142, "4073138236999512": 142, "4073527455329895": 142, "4073541164398193": 142, "407398223876953": 142, "4074385166168213": 142, "4074411392211914": 142, "40745073556900024": 142, "4074764251708984": 142, "4074874520301819": 142, "4075371026992798": 142, "4075520038604736": 142, "4075581431388855": 142, "407561182975769": 142, "4076": 142, "407718539237976": 142, "40784746408462524": 142, "407855987548828": 142, "4078898429870605": 142, "40791624784469604": 142, "407kb": 134, "408050775527954": 142, "4080655574798584": 142, "4081": 142, "4081283807754517": 142, "40816348791122437": 142, "408240795135498": 142, "4083197116851807": 142, "4083205461502075": 142, "4083476066589355": 142, "4084001779556274": 142, "408468246459961": 142, "40850764513015747": 142, "40857619047164917": 142, "4085896015167236": 142, "40863037109375": 142, "4087390899658203": 142, "4087508916854858": 142, "4087693691253662": 142, "4088006019592285": 142, "4088059067726135": 142, "4088327884674072": 142, "4088401198387146": 142, "4088425636291504": 142, "408869981765747": 142, "4089131355285645": 142, "4089207649230957": 142, "4089410305023193": 142, "409": 142, "409015655517578": 142, "4090230464935303": 142, "409055233001709": 142, "409074544906616": 142, "4090756177902222": 142, "4090849161148071": 142, "4090908169746399": 142, "4090944528579712": 142, "4091": 142, "409132719039917": 142, "4091358184814453": 142, "4091899394989014": 142, "409242630004883": 142, "4092458486557007": 142, "40928107500076294": 142, "4093165397644043": 142, "4093483090400696": 142, "409442663192749": 142, "4094488620758057": 142, "4095": 147, "409590482711792": 142, "4095938205718994": 142, "4096161723136902": 142, "409618616104126": 142, "4096381664276123": 142, "409649": [147, 149], "4096672534942627": 142, "40970510244369507": 142, "4097061157226562": 142, "4097427129745483": 142, "40975022315979": 142, "4098353385925293": 142, "4098643064498901": 142, "409868597984314": 142, "40989500284194946": 142, "409kb": 134, "40e": 147, "40it": [134, 147], "40m": 134, "41": [132, 134, 142, 144, 147, 149, 154, 157], "4100069999694824": 142, "4100935459136963": 142, "4101": 134, "410151720046997": 142, "410153329372406": 142, "41018325090408325": 142, "4102816581726074": 142, "4103071689605713": 142, "4103156328201294": 142, "41048115491867065": 142, "4105119705200195": 142, "4105236530303955": 142, "41059011220932007": 142, "4106038808822632": 142, "4106171131134033": 142, "410628080368042": 142, "410628138844523": 142, "4106281388445234": 142, "4106281388445236": 142, "4106281388445239": 142, "410628138844524": 142, "4106281388445243": 142, "4106281388445245": 142, "410628138844525": 142, "4106281388445252": 142, "4106281388445256": 142, "41063159704208374": 142, "4107": 154, "4107334613800049": 142, "4107494354248047": 142, "4107539653778076": 142, "4107820987701416": 142, "41078609228134155": 142, "4109": 154, "4109323024749756": 142, "41108328104019165": 142, "4110913276672363": 142, "41110116243362427": 142, "4112": 134, "4112035036087036": 142, "4112169742584229": 142, "4112176895141602": 142, "411238193511963": 142, "411275863647461": 142, "4113047122955322": 142, "4113125801086426": 142, "4114225506782532": 142, "4114396572113037": 142, "4114975929260254": 142, "4115005731582642": 142, "4115254878997803": 142, "4115493297576904": 142, "411599338054657": 142, "4116077423095703": 142, "4116668701171875": 142, "4116706848144531": 142, "411677598953247": 142, "411693811416626": 142, "4117510914802551": 142, "4117600917816162": 142, "4117906093597412": 142, "4118120670318604": 142, "411832571029663": 142, "4118489027023315": 142, "4118733406066895": 142, "411875605583191": 142, "411887764930725": 142, "4118914604187012": 142, "4119889736175537": 142, "4119939804077148": 142, "4119971990585327": 142, "411kb": 134, "4120": 142, "412086546421051": 142, "4121": 134, "4121728539466858": 142, "4121792316436768": 142, "4122111797332764": 142, "4122114181518555": 142, "4122182130813599": 142, "412269949913025": 142, "412300109863281": 142, "4123153686523438": 142, "4123217463493347": 142, "41232746839523315": 142, "4123609662055969": 142, "41237133741378784": 142, "41238290071487427": 142, "4124": 142, "41240209341049194": 142, "412406325340271": 142, "4124475121498108": 142, "4124482274055481": 142, "4124712347984314": 142, "41249483823776245": 142, "4124e": 147, "4125179648399353": 142, "4125252962112427": 142, "41254955530166626": 142, "41256219148635864": 142, "41256505250930786": 142, "4125719666481018": 142, "4125852584838867": 142, "41259104013442993": 142, "4126043915748596": 142, "41260844469070435": 142, "4126179218292236": 142, "4126635193824768": 142, "412666380405426": 142, "412693500518799": 142, "4126961827278137": 142, "41273146867752075": 142, "4127400517463684": 142, "4127444624900818": 142, "4127857685089111": 142, "41281503438949585": 142, "41281574964523315": 142, "41281968355178833": 142, "4128209948539734": 142, "4128270745277405": 142, "4128273129463196": 142, "41282838582992554": 142, "4128301739692688": 142, "41283172369003296": 142, "41283267736434937": 142, "4128473401069641": 142, "412853479385376": 142, "41286617517471313": 142, "412881851196289": 142, "412886381149292": 142, "4128876328468323": 142, "4128901958465576": 142, "412910521030426": 142, "412913978099823": 142, "4129318594932556": 142, "4129321575164795": 142, "41293781995773315": 142, "41295892000198364": 142, "412977933883667": 142, "412981390953064": 142, "4129919409751892": 142, "4129e": 147, "41300278902053833": 142, "4130099415779114": 142, "4130401611328125": 142, "41305631399154663": 142, "41307979822158813": 142, "41309577226638794": 142, "4130999445915222": 142, "4131": 142, "4131306409835815": 142, "4131786823272705": 142, "4131850600242615": 142, "4131903052330017": 142, "413196325302124": 142, "4132370352745056": 142, "41324383020401": 142, "4132850766181946": 142, "41328877210617065": 142, "4132956266403198": 142, "413313627243042": 142, "4133424758911133": 142, "4133429527282715": 142, "4133480191230774": 142, "413354396820068": 142, "4133671522140503": 142, "4133949875831604": 142, "41340750455856323": 142, "4134138226509094": 142, "41341739892959595": 142, "41343337297439575": 142, "4134349822998047": 142, "413463830947876": 142, "4134663939476013": 142, "413467407226562": 142, "4134750366210938": 142, "4134753346443176": 142, "4135043621063232": 142, "41350477933883667": 142, "4135364890098572": 142, "4135618805885315": 142, "4135632514953613": 142, "41357308626174927": 142, "41359788179397583": 142, "41359978914260864": 142, "4136003851890564": 142, "4136051535606384": 142, "4136064648628235": 142, "4136081337928772": 142, "4136233925819397": 142, "4136379361152649": 142, "4136555790901184": 142, "41365760564804077": 142, "4136862754821777": 142, "4137018322944641": 142, "41372400522232056": 142, "4137497544288635": 142, "41375988721847534": 142, "4137599468231201": 142, "41379326581954956": 142, "41379743814468384": 142, "4138076901435852": 142, "41381698846817017": 142, "413846": [147, 149], "41384607553482056": 142, "413849413394928": 142, "4138663411140442": 142, "413871705532074": 142, "41387873888015747": 142, "4138944149017334": 142, "4139094948768616": 142, "4139123558998108": 142, "41392117738723755": 142, "4139212965965271": 142, "4139360785484314": 142, "4139561057090759": 142, "4139772057533264": 142, "4139811396598816": 142, "4139903783798218": 142, "4139924645423889": 142, "4140002131462097": 142, "41400986909866333": 142, "41401034593582153": 142, "4140139818191528": 142, "4140222072601318": 142, "41402333974838257": 142, "4140290021896362": 142, "4140312671661377": 142, "414043664932251": 142, "41404658555984497": 142, "4140542149543762": 142, "4140644669532776": 142, "4140670895576477": 142, "4140682816505432": 142, "4140811562538147": 142, "4140985608100891": 142, "4141020178794861": 142, "4141032099723816": 142, "4141086935997009": 142, "414123773574829": 142, "4141271710395813": 142, "4141438007354736": 142, "414151668548584": 142, "414156973361969": 142, "4141579270362854": 142, "4141901135444641": 142, "4142041206359863": 142, "4142104983329773": 142, "41421622037887573": 142, "41421693563461304": 142, "4142271876335144": 142, "414245069026947": 142, "4142671227455139": 142, "4142681956291199": 142, "41428273916244507": 142, "41430169343948364": 142, "41431134939193726": 142, "41434746980667114": 142, "4143579006195068": 142, "4143596291542053": 142, "41438955068588257": 142, "414390504360199": 142, "41440922021865845": 142, "41441887617111206": 142, "4144246578216553": 142, "41443079710006714": 142, "414435625076294": 142, "4144468903541565": 142, "4144517779350281": 142, "414456307888031": 142, "4144590497016907": 142, "4144601821899414": 142, "41446226835250854": 142, "4144652485847473": 142, "41447561979293823": 142, "4144763946533203": 142, "4144797921180725": 142, "4144884943962097": 142, "41449326276779175": 142, "41449493169784546": 142, "4144957661628723": 142, "41449773311615": 142, "41451495885849": 142, "4145185351371765": 142, "41453057527542114": 142, "4145379066467285": 142, "41455382108688354": 142, "41455572843551636": 142, "4145572781562805": 142, "41457706689834595": 142, "4145887494087219": 142, "4145936369895935": 142, "41460269689559937": 142, "41460877656936646": 142, "414608895778656": 142, "4146225452423096": 142, "41462546586990356": 142, "414632797241211": 142, "4146411418914795": 142, "41465169191360474": 142, "4146673083305359": 142, "4146711230278015": 142, "414673924446106": 142, "41467779874801636": 142, "4146793484687805": 142, "4146842956542969": 142, "41469407081604": 142, "41469722986221313": 142, "41472023725509644": 142, "4147488474845886": 142, "4147621989250183": 142, "4147726893424988": 142, "4147863388061523": 142, "41478973627090454": 142, "4147910475730896": 142, "4147937297821045": 142, "41481274366378784": 142, "414821743965149": 142, "41483503580093384": 142, "4148359298706055": 142, "4148443341255188": 142, "41485148668289185": 142, "4148612022399902": 142, "4148615002632141": 142, "41488200426101685": 142, "4148856997489929": 142, "4149046540260315": 142, "4149298071861267": 142, "4149368405342102": 142, "41495198011398315": 142, "4149560928344727": 142, "4149569869041443": 142, "41496580839157104": 142, "41499191522598267": 142, "414kb": 134, "415": [132, 157], "4150128960609436": 142, "4150218367576599": 142, "4150383472442627": 142, "41504842042922974": 142, "4150537848472595": 142, "4150956869125366": 142, "41509705781936646": 142, "41509777307510376": 142, "4151074290275574": 142, "41510850191116333": 142, "4151108264923096": 142, "4151262640953064": 142, "4151306748390198": 142, "4151419997215271": 142, "4151455760002136": 142, "415148138999939": 142, "415155291557312": 142, "4151666760444641": 142, "41518229246139526": 142, "41518980264663696": 142, "41519278287887573": 142, "4152": 142, "4152281880378723": 142, "4152396321296692": 142, "4152422547340393": 142, "4152682423591614": 142, "4152910113334656": 142, "4153013825416565": 142, "4153211116790771": 142, "41534489393234253": 142, "4153499603271484": 142, "4153621196746826": 142, "4153671860694885": 142, "4153716564178467": 142, "4153810143470764": 142, "4153851866722107": 142, "4153885245323181": 142, "4153897166252136": 142, "41539496183395386": 142, "4153985977172852": 142, "41540271043777466": 142, "4154062867164612": 142, "415407657623291": 142, "4154250621795654": 142, "4154260754585266": 142, "415440082550049": 142, "41545015573501587": 142, "41545265913009644": 142, "4154821634292603": 142, "41550201177597046": 142, "4155147671699524": 142, "41551774740219116": 142, "4155309200286865": 142, "41554492712020874": 142, "41554802656173706": 142, "41555482149124146": 142, "4155574440956116": 142, "41556185483932495": 142, "4155653119087219": 142, "4155723452568054": 142, "4155868887901306": 142, "4155939221382141": 142, "41559773683547974": 142, "4155990481376648": 142, "41561049222946167": 142, "41562026739120483": 142, "41562098264694214": 142, "4156333804130554": 142, "4156407117843628": 142, "41564446687698364": 142, "41566723585128784": 142, "41567498445510864": 142, "4156779646873474": 142, "415680170059204": 142, "41568106412887573": 142, "41568702459335327": 142, "4156903624534607": 142, "4156966805458069": 142, "4157028794288635": 142, "41571229696273804": 142, "41571980714797974": 142, "41572123765945435": 142, "41572195291519165": 142, "41573673486709595": 142, "4157414436340332": 142, "4157645106315613": 142, "41577786207199097": 142, "4157819151878357": 142, "4157937169075012": 142, "4158025979995728": 142, "41580528020858765": 142, "41580623388290405": 142, "41580694913864136": 142, "41581469774246216": 142, "41582196950912476": 142, "41582244634628296": 142, "4158249497413635": 142, "4158326983451843": 142, "4158427715301514": 142, "4158615469932556": 142, "4158630967140198": 142, "41587764024734497": 142, "41591697931289673": 142, "4159405827522278": 142, "4159466624259949": 142, "415949285030365": 142, "4159526228904724": 142, "41595572233200073": 142, "41595619916915894": 142, "41596370935440063": 142, "4159674048423767": 142, "41598254442214966": 142, "41599613428115845": 142, "415g": 129, "415kb": 134, "416": [132, 157], "4160": 142, "41603392362594604": 142, "4160587191581726": 142, "41606277227401733": 142, "4160842299461365": 142, "41608816385269165": 142, "4160922169685364": 142, "41609376668930054": 142, "4160953164100647": 142, "41611140966415405": 142, "4161251187324524": 142, "41612714529037476": 142, "4161333441734314": 142, "41614633798599243": 142, "41615575551986694": 142, "416156530380249": 142, "4161760210990906": 142, "41618162393569946": 142, "41622453927993774": 142, "41622811555862427": 142, "41625064611434937": 142, "41625839471817017": 142, "4162616729736328": 142, "41627103090286255": 142, "4162985682487488": 142, "41630131006240845": 142, "4163299798965454": 142, "41633373498916626": 142, "4163416028022766": 142, "4163438677787781": 142, "41634541749954224": 142, "4163539409637451": 142, "41636985540390015": 142, "4163702130317688": 142, "41637855768203735": 142, "4163845181465149": 142, "4163965582847595": 142, "4164186120033264": 142, "41642171144485474": 142, "416422128677368": 142, "4164389967918396": 142, "41644495725631714": 142, "4164516925811768": 142, "4164873957633972": 142, "4164908528327942": 142, "4165181517601013": 142, "4165183901786804": 142, "4165213108062744": 142, "4165305495262146": 142, "41654354333877563": 142, "4165552258491516": 142, "4165605902671814": 142, "41659015417099": 142, "4166065454483032": 142, "4166080355644226": 142, "4166218638420105": 142, "41663700342178345": 142, "4166455864906311": 142, "4166715741157532": 142, "4166751503944397": 142, "4166938066482544": 142, "41670483350753784": 142, "416710376739502": 142, "4167129397392273": 142, "4167245030403137": 142, "4167250990867615": 142, "41672950983047485": 142, "4167328476905823": 142, "41674524545669556": 142, "4167479872703552": 142, "41675418615341187": 142, "41678112745285034": 142, "41679519414901733": 142, "4168397784233093": 142, "41685158014297485": 142, "4168700575828552": 142, "4168704152107239": 142, "4168727993965149": 142, "41687291860580444": 142, "4168848395347595": 142, "41691190004348755": 142, "4169185757637024": 142, "41692429780960083": 142, "4169268012046814": 142, "416928768157959": 142, "4169769883155823": 142, "41699498891830444": 142, "41699570417404175": 142, "41699641942977905": 142, "417": [139, 142, 147], "4170079231262207": 142, "41701316833496": 142, "4170269966125488": 142, "41702932119369507": 142, "4170299172401428": 142, "41704708337783813": 142, "4171038269996643": 142, "4171180725097656": 142, "4171209931373596": 142, "41712647676467896": 142, "4171324372291565": 142, "4171388149261475": 142, "4171730875968933": 142, "4171838164329529": 142, "41719430685043335": 142, "4171958565711975": 142, "4172": 142, "41721731424331665": 142, "4172176122665405": 142, "41722387075424194": 142, "4172295928001404": 142, "4172305464744568": 142, "41725724935531616": 142, "41726619005203247": 142, "417288601398468": 142, "41732245683670044": 142, "4173455238342285": 142, "4173632264137268": 142, "41736334562301636": 142, "4174179434776306": 142, "41743868589401245": 142, "41744738817214966": 142, "417464": 154, "4174723625183105": 142, "4174885153770447": 142, "4174888134002686": 142, "4175": 142, "4175000190734863": 142, "41750019788742065": 142, "4175046682357788": 142, "4175078868865967": 142, "4175207018852234": 142, "41752272844314575": 142, "41752809286117554": 142, "4175352454185486": 142, "4175364375114441": 142, "4175565242767334": 142, "41756266355514526": 142, "4175698161125183": 142, "4175803661346436": 142, "417600393295288": 142, "4176113605499268": 142, "4176127910614014": 142, "417616069316864": 142, "4176210165023804": 142, "4176223874092102": 142, "4176807999610901": 142, "41768401861190796": 142, "4177010655403137": 142, "41770488023757935": 142, "41771548986434937": 142, "41774481534957886": 142, "4177468419075012": 142, "417747437953949": 142, "4177846908569336": 142, "4177890419960022": 142, "41780662536621": 142, "41782325506210327": 142, "417845726013184": 142, "41785603761672974": 142, "41786128282546997": 142, "4178616404533386": 142, "4178728461265564": 142, "4178786277770996": 142, "41789311170578003": 142, "41790395975112915": 142, "4179210066795349": 142, "41792839765548706": 142, "4179331064224243": 142, "41794079542160034": 142, "41794759035110474": 142, "4179515242576599": 142, "417952060699463": 142, "41797441244125366": 142, "4179948568344116": 142, "418": 147, "4180060029029846": 142, "4180428981781006": 142, "4180562496185303": 142, "4180615544319153": 142, "41807132959365845": 142, "41807252168655396": 142, "41809120774269104": 142, "4180986285209656": 142, "418138027191162": 142, "41813939809799194": 142, "41816025972366333": 142, "4181625247001648": 142, "4181678891181946": 142, "418173313140869": 142, "4181808829307556": 142, "4181833267211914": 142, "4181956648826599": 142, "4181976914405823": 142, "4182": 142, "41820377111434937": 142, "4182177186012268": 142, "4182431101799011": 142, "418249487876892": 142, "4182538390159607": 142, "4182683825492859": 142, "418318271636963": 142, "4183198809623718": 142, "4183424115180969": 142, "4183434844017029": 142, "41835397481918335": 142, "41836053133010864": 142, "418379008769989": 142, "41837984323501587": 142, "4183829426765442": 142, "4184057712554932": 142, "4184102416038513": 142, "41841691732406616": 142, "41843217611312866": 142, "4184409976005554": 142, "4185022711753845": 142, "4185188412666321": 142, "4185250401496887": 142, "4185447096824646": 142, "41855305433273315": 142, "41855496168136597": 142, "4185630679130554": 142, "4185763597488403": 142, "4185786247253418": 142, "418588638305664": 142, "41859596967697144": 142, "4186212420463562": 142, "41862601041793823": 142, "41863805055618286": 142, "4186522364616394": 142, "41869431734085083": 142, "41870957612991333": 142, "41872280836105347": 142, "4187301993370056": 142, "4187326431274414": 142, "41874903440475464": 142, "4187505841255188": 142, "4187707901000977": 142, "4187914729118347": 142, "41879504919052124": 142, "418812096118927": 142, "41881924867630005": 142, "41883784532546997": 142, "418838381767273": 142, "4188671112060547": 142, "41887229681015015": 142, "4188799262046814": 142, "418884": [147, 149], "4189125895500183": 142, "4189372062683105": 142, "4189390540122986": 142, "4189470410346985": 142, "4189876914024353": 142, "41898804903030396": 142, "41898852586746216": 142, "4189949631690979": 142, "418kb": 134, "419": [132, 157], "4190019965171814": 142, "41903090476989746": 142, "4190449118614197": 142, "419062077999115": 142, "4190649390220642": 142, "4190816283226013": 142, "4191264510154724": 142, "4191400408744812": 142, "41916805505752563": 142, "4191821217536926": 142, "41919010877609253": 142, "419191837310791": 142, "4192": 142, "4192001223564148": 142, "41920804977417": 142, "419219732284546": 142, "4192294478416443": 142, "41925543546676636": 142, "4192785620689392": 142, "41928666830062866": 142, "41929346323013306": 142, "41929930448532104": 142, "4193229675292969": 142, "4193729758262634": 142, "4193803668022156": 142, "41939204931259155": 142, "4194": 142, "4194369316101074": 142, "41944628953933716": 142, "4194555878639221": 142, "4194769263267517": 142, "4194822907447815": 142, "4195120930671692": 142, "4195297360420227": 142, "4195801615715027": 142, "4195813536643982": 142, "4196126461029053": 142, "41961902379989624": 142, "41962021589279175": 142, "41963058710098267": 142, "4196462631225586": 142, "419670820236206": 142, "4196984767913818": 142, "4196e": 147, "41970616579055786": 142, "4197099804878235": 142, "41972988843917847": 142, "4197559356689453": 142, "4197583794593811": 142, "41975969076156616": 142, "41977447271347046": 142, "4197860360145569": 142, "4198098182678223": 142, "4198260307312012": 142, "4198261499404907": 142, "4198762774467468": 142, "41989511251449585": 142, "4199155569076538": 142, "41992121934890747": 142, "4199257493019104": 142, "419938087463379": 142, "41994112730026245": 142, "41996389627456665": 142, "4199705719947815": 142, "41998380422592163": 142, "419985830783844": 142, "4199935793876648": 142, "4199938178062439": 142, "419kb": 134, "41e": 147, "41it": 134, "41m": 134, "42": [15, 132, 134, 142, 144, 147, 149, 154, 156, 157], "42002445459365845": 142, "4200348854064941": 142, "42008382081985474": 142, "42011064291000366": 142, "4201112985610962": 142, "4201151728630066": 142, "4201272130012512": 142, "4201407432556152": 142, "4201437830924988": 142, "4201720356941223": 142, "420173168182373": 142, "42020052671432495": 142, "42020708322525024": 142, "4202237129211426": 142, "42022520303726196": 142, "42022615671157837": 142, "4202473759651184": 142, "420302391052246": 142, "42031508684158325": 142, "42031723260879517": 142, "4203426241874695": 142, "42034775018692017": 142, "4203494787216187": 142, "42035144567489624": 142, "4203651547431946": 142, "42038971185684204": 142, "4204087257385254": 142, "4204295873641968": 142, "42043572664260864": 142, "42043715715408325": 142, "420437753200531": 142, "42044442892074585": 142, "420510470867157": 142, "4205290675163269": 142, "4205300211906433": 142, "42053693532943726": 142, "4205372929573059": 142, "4205401539802551": 142, "42054110765457153": 142, "4205475449562073": 142, "4205576777458191": 142, "42055875062942505": 142, "4205701947212219": 142, "4205712676048279": 142, "4205889105796814": 142, "42059069871902466": 142, "4206023216247559": 142, "42060333490371704": 142, "4206035137176514": 142, "4206112027168274": 142, "4206191897392273": 142, "420676052570343": 142, "42067950963974": 142, "42068099975586": 142, "42069023847579956": 142, "4206924438476562": 142, "42071348428726196": 142, "42072993516921997": 142, "42075806856155396": 142, "42077702283859253": 142, "4207800030708313": 142, "4207891821861267": 142, "4207916855812073": 142, "4208006262779236": 142, "4208009243011475": 142, "4208056330680847": 142, "4208281636238098": 142, "42083197832107544": 142, "4208369851112366": 142, "42086154222488403": 142, "420889139175415": 142, "42089182138442993": 142, "4209175705909729": 142, "4209185242652893": 142, "42091912031173706": 142, "42091965675354": 142, "4209246039390564": 142, "4209274649620056": 142, "4209315776824951": 142, "42093461751937866": 142, "4209471940994263": 142, "4209490418434143": 142, "42094987630844116": 142, "42095237970352173": 142, "42096513509750366": 142, "42096656560897827": 142, "4209802746772766": 142, "420985460281372": 142, "4209900498390198": 142, "42100924253463745": 142, "4210149645805359": 142, "42101866006851196": 142, "42103272676467896": 142, "4210330843925476": 142, "42103809118270874": 142, "4210457801818848": 142, "42105633020401": 142, "42106252908706665": 142, "4210672974586487": 142, "42108154296875": 142, "4210842251777649": 142, "4210907816886902": 142, "4210922122001648": 142, "4210931062698364": 142, "42110222578048706": 142, "4211080074310303": 142, "4211108088493347": 142, "4211273193359375": 142, "42116278409957886": 142, "42119842767715454": 142, "4212058186531067": 142, "4212281107902527": 142, "42124277353286743": 142, "4212525486946106": 142, "42126721143722534": 142, "4212725162506104": 142, "42127758264541626": 142, "4212779402732849": 142, "4212929606437683": 142, "42130082845687866": 142, "421320915222168": 142, "42133015394210815": 142, "4213368892669678": 142, "42135852575302124": 142, "42137521505355835": 142, "4213811755180359": 142, "4213833808898926": 142, "4213917255401611": 142, "4214087128639221": 142, "42143410444259644": 142, "4214619994163513": 142, "4214637875556946": 142, "4214703440666199": 142, "4214724898338318": 142, "42148298025131226": 142, "4214927554130554": 142, "42150431871414185": 142, "42153817415237427": 142, "4215601682662964": 142, "4215622544288635": 142, "42160648107528687": 142, "4216342568397522": 142, "42165642976760864": 142, "421657919883728": 142, "4216863512992859": 142, "4217042326927185": 142, "4217105507850647": 142, "4217180609703064": 142, "42173105478286743": 142, "42173415422439575": 142, "4217389225959778": 142, "4217414855957031": 142, "42176753282546997": 142, "42177993059158325": 142, "42178475856781": 142, "4217897057533264": 142, "4218061566352844": 142, "4218113422393799": 142, "42181396484375": 142, "4218194484710693": 142, "4218297600746155": 142, "42182987928390503": 142, "42183536291122437": 142, "4218363761901855": 142, "4218488335609436": 142, "421872079372406": 142, "4219065308570862": 142, "4219164252281189": 142, "4219275116920471": 142, "4219309687614441": 142, "4219375252723694": 142, "42194050550460815": 142, "4219539761543274": 142, "42195528745651245": 142, "421957790851593": 142, "4219708442687988": 142, "421992540359497": 142, "42202597856521606": 142, "42204660177230835": 142, "4220506548881531": 142, "42205554246902466": 142, "4220640659332275": 142, "422067642211914": 142, "4220701456069946": 142, "42209404706954956": 142, "42213040590286255": 142, "4221365451812744": 142, "42213791608810425": 142, "42214661836624146": 142, "42215627431869507": 142, "42216044664382935": 142, "42217379808425903": 142, "4221811890602112": 142, "42219477891921997": 142, "422211229801178": 142, "4222257733345032": 142, "42223280668258667": 142, "4222594499588013": 142, "4222702383995056": 142, "4222744107246399": 142, "4222867488861084": 142, "4223": 153, "42231184244155884": 142, "4223182201385498": 142, "42232877016067505": 142, "4223344922065735": 142, "4223415851593018": 142, "42234665155410767": 142, "4223785996437073": 142, "4224089980125427": 142, "4224112629890442": 142, "42241424322128296": 142, "4224342703819275": 142, "422454297542572": 142, "42245715856552124": 142, "422466516494751": 142, "4224863648414612": 142, "42250388860702515": 142, "4225133657455444": 142, "42251986265182495": 142, "422522783279419": 142, "4225289225578308": 142, "422548294067383": 142, "422593891620636": 142, "4226227402687073": 142, "42262929677963257": 142, "4226294159889221": 142, "422631025314331": 142, "4226319193840027": 142, "422635018825531": 142, "4226371645927429": 142, "4226381182670593": 142, "4226493835449219": 142, "4226515293121338": 142, "4226554036140442": 142, "42266446352005005": 142, "42270082235336304": 142, "42271679639816284": 142, "4227229952812195": 142, "42273980379104614": 142, "4227403998374939": 142, "4227455258369446": 142, "42278558015823364": 142, "4227871894836426": 142, "422795057296753": 142, "4228072762489319": 142, "42284613847732544": 142, "42285531759262085": 142, "42286545038223267": 142, "4229021072387695": 142, "4229121804237366": 142, "4229200482368469": 142, "42293399572372437": 142, "4229347705841064": 142, "42294687032699585": 142, "4229734539985657": 142, "42298024892807007": 142, "4229824542999268": 142, "422987163066864": 142, "422kb": 134, "423": [134, 142], "4230144023895264": 142, "4230157732963562": 142, "4230284094810486": 142, "42303234338760376": 142, "4230465292930603": 142, "4230617880821228": 142, "4231012463569641": 142, "4231101870536804": 142, "4231128692626953": 142, "42311495542526245": 142, "4231181740760803": 142, "4231278896331787": 142, "4231641888618469": 142, "4232211709022522": 142, "4232218861579895": 142, "42323964834213257": 142, "423241376876831": 142, "42324191331863403": 142, "4232475161552429": 142, "4232568740844727": 142, "4232702851295471": 142, "4232720732688904": 142, "4232848286628723": 142, "4233112931251526": 142, "423326313495636": 142, "4233275055885315": 142, "42335742712020874": 142, "42336326837539673": 142, "423381328582764": 142, "4233826994895935": 142, "42338985204696655": 142, "4233934283256531": 142, "42340391874313354": 142, "4234296679496765": 142, "4234343767166138": 142, "4234399795532227": 142, "4234483242034912": 142, "423485": [147, 149], "4235050082206726": 142, "42350584268569946": 142, "42352181673049927": 142, "42352932691574097": 142, "4235331416130066": 142, "42354005575180054": 142, "4235526919364929": 142, "4235527515411377": 142, "42358964681625366": 142, "42361217737197876": 142, "4236187934875488": 142, "4236292839050293": 142, "4236360192298889": 142, "4236371517181396": 142, "42364436388015747": 142, "42364805936813354": 142, "4236648678779602": 142, "42367035150527954": 142, "423685312271118": 142, "42369014024734497": 142, "42369598150253296": 142, "42373842000961304": 142, "4237923622131348": 142, "42379969358444214": 142, "4238": 142, "42380398511886597": 142, "4238206744194031": 142, "42382651567459106": 142, "42383307218551636": 142, "42384451627731323": 142, "423853874206543": 142, "42386823892593384": 142, "4239587187767029": 142, "4239824414253235": 142, "423999547958374": 142, "423c": 142, "423ffd0c67f5": 142, "423kb": 134, "424": [132, 157], "42400747537612915": 142, "42402297258377075": 142, "4240254759788513": 142, "4240284562110901": 142, "4240310788154602": 142, "4240312576293945": 142, "4240509867668152": 142, "42405790090560913": 142, "4240604043006897": 142, "424069404602051": 142, "4240765571594238": 142, "4240826964378357": 142, "4241110682487488": 142, "4241364598274231": 142, "4241437315940857": 142, "4241511821746826": 142, "42415910959243774": 142, "4241684079170227": 142, "4242076873779297": 142, "4242125749588013": 142, "4242134690284729": 142, "424232482910156": 142, "4242585301399231": 142, "42425936460494995": 142, "4242858290672302": 142, "4242939352989197": 142, "4243128299713135": 142, "4243181347846985": 142, "4243183135986328": 142, "4243183732032776": 142, "4243534207344055": 142, "424360454082489": 142, "4243677258491516": 142, "424380362033844": 142, "4243854880332947": 142, "4243873953819275": 142, "4244017601013184": 142, "4244421124458313": 142, "4244559407234192": 142, "42446380853652954": 142, "4244675040245056": 142, "4244740605354309": 142, "424487829208374": 142, "4245451092720032": 142, "424558401107788": 142, "4245762228965759": 142, "4245794415473938": 142, "4246057271957397": 142, "42460983991622925": 142, "4246218800544739": 142, "42463356256484985": 142, "4246656894683838": 142, "4246758818626404": 142, "4246789813041687": 142, "424682378768921": 142, "4247": 142, "424704074859619": 142, "4247118830680847": 142, "4247240704": 158, "42473727464675903": 142, "42475706338882446": 142, "4247620701789856": 142, "42478233575820923": 142, "4247887134552002": 142, "4247916340827942": 142, "4247e": 148, "4248194098472595": 142, "424827516078949": 142, "4248427748680115": 142, "424843966960907": 142, "42486506700515747": 142, "42486685514450073": 142, "4248716831207275": 142, "4248763918876648": 142, "4248848557472229": 142, "4248976707458496": 142, "4249104857444763": 142, "424911379814148": 142, "4249116778373718": 142, "42496544122695923": 142, "4249698519706726": 142, "4249756932258606": 142, "42498689889907837": 142, "424kb": 134, "424m": 130, "425": [133, 134], "42500394582748413": 142, "4250243306159973": 142, "4250503182411194": 142, "4250850677490234": 142, "425090491771698": 142, "42510682344436646": 142, "4251100420951843": 142, "4251399636268616": 142, "4251435399055481": 142, "42514485120773315": 142, "4251551628112793": 142, "42518550157546997": 142, "4251940846443176": 142, "4252": 142, "4252045154571533": 142, "4252288341522217": 142, "42524129152297974": 142, "425248384475708": 142, "425254762172699": 142, "42525798082351685": 142, "425291061401367": 142, "425297": 154, "42529791593551636": 142, "4253": 142, "42531245946884155": 142, "425326406955719": 142, "4253367781639099": 142, "4253407120704651": 142, "42534106969833374": 142, "4253649115562439": 142, "4253794550895691": 142, "4254201054573059": 142, "4254530072212219": 142, "4254608750343323": 142, "4254698157310486": 142, "4254932999610901": 142, "42550379037857056": 142, "4255083203315735": 142, "42551320791244507": 142, "4255337119102478": 142, "4255404472351074": 142, "42556077241897583": 142, "4255751967430115": 142, "4255802631378174": 142, "4255959391593933": 142, "4256272315979004": 142, "4256318211555481": 142, "42563682794570923": 142, "4256529211997986": 142, "4256553649902344": 142, "4256685972213745": 142, "42567139863967896": 142, "42567890882492065": 142, "4256862998008728": 142, "425701141357422": 142, "4257059693336487": 142, "4257314205169678": 142, "4257590770721436": 142, "4257597923278809": 142, "4257623553276062": 142, "42577701807022095": 142, "4257829785346985": 142, "4257869720458984": 142, "4258184432983398": 142, "4258270859718323": 142, "4258323907852173": 142, "42584532499313354": 142, "42588740587234497": 142, "4258959889411926": 142, "4259": 142, "4259034991264343": 142, "4259282946586609": 142, "4259396195411682": 142, "4259414076805115": 142, "42594343423843384": 142, "42594999074935913": 142, "42595452070236206": 142, "425991952419281": 142, "426": 133, "4260113835334778": 142, "426027297973633": 142, "4260351657867432": 142, "426047146320343": 142, "42607659101486206": 142, "42608124017715454": 142, "4260815978050232": 142, "42609089612960815": 142, "4260968565940857": 142, "42610615491867065": 142, "426139771938324": 142, "42617517709732056": 142, "4261765480041504": 142, "4261975884437561": 142, "4262234568595886": 142, "4262273907661438": 142, "42625170946121216": 142, "4262745380401611": 142, "4262797832489014": 142, "426281452178955": 142, "426286697387695": 142, "4262866973876953": 142, "42628878355026245": 142, "42629510164260864": 142, "42629534006118774": 142, "42631345987319946": 142, "42632025480270386": 142, "4263349175453186": 142, "4263541102409363": 142, "4263574481010437": 142, "42639249563217163": 142, "4263999462127686": 142, "4264066815376282": 142, "4264254570007324": 142, "42642754316329956": 142, "4264445304870605": 142, "42645081877708435": 142, "42649489641189575": 142, "42649585008621216": 142, "42650872468948364": 142, "4265362620353699": 142, "42655616998672485": 142, "4265899658203125": 142, "4265945553779602": 142, "42659538984298706": 142, "42660003900527954": 142, "426604151725769": 142, "4266153573989868": 142, "42664986848831177": 142, "4266560077667236": 142, "42666906118392944": 142, "4266760349273682": 142, "4266810417175293": 142, "4266819953918457": 142, "4266839027404785": 142, "4266898036003113": 142, "4266977906227112": 142, "4267053008079529": 142, "4267342686653137": 142, "42673593759536743": 142, "42675286531448364": 142, "4267682433128357": 142, "42677146196365356": 142, "4267752170562744": 142, "426781415939331": 142, "42679017782211304": 142, "42680948972702026": 142, "4268287420272827": 142, "42683500051498413": 142, "426840130515679": 156, "4268651604652405": 142, "42687052488327026": 142, "4268720746040344": 142, "42687422037124634": 142, "4268806576728821": 142, "4268817901611328": 142, "4269": 154, "42690372467041": 142, "42691558599472046": 142, "4269503951072693": 142, "4269668459892273": 142, "4269748330116272": 142, "4269811511039734": 142, "427": [133, 134, 142], "42700010538101196": 142, "42700594663619995": 142, "4270218014717102": 142, "4270992875099182": 142, "4271206259727478": 142, "42712897062301636": 142, "42714887857437134": 142, "4271569848060608": 142, "4271770119667053": 142, "4271849393844604": 142, "42720216512680054": 142, "4272310733795166": 142, "42723554372787476": 142, "427245557308197": 142, "4272539019584656": 142, "42726820707321167": 142, "4272703528404236": 142, "4272805452346802": 142, "4273304343223572": 142, "4273379445075989": 142, "42734402418136597": 142, "427345335483551": 142, "4273691177368164": 142, "42739731073379517": 142, "4274281859397888": 142, "427434504032135": 142, "42745381593704224": 142, "4274604320526123": 142, "4274953007698059": 142, "4275246262550354": 142, "42752712965011597": 142, "42753762006759644": 142, "42753782868385315": 142, "4275388717651367": 142, "42756491899490356": 142, "4275659918785095": 142, "42757314443588257": 142, "4275891780853271": 142, "4276": 142, "4276025295257568": 142, "42762476205825806": 142, "427625834941864": 142, "42763352394104": 142, "4276695251464844": 142, "42767268419265747": 142, "42767900228500366": 142, "4276800155639648": 142, "42768198251724243": 142, "4276986122131348": 142, "42771047353744507": 142, "4277210831642151": 142, "4277445673942566": 142, "4277617931365967": 142, "4277742088306695e": 142, "4277899265289307": 142, "42779403924942017": 142, "4278051853179932": 142, "4278135895729065": 142, "42781680822372437": 142, "4278385043144226": 142, "4279128909111023": 142, "42791682481765747": 142, "42792314291000366": 142, "4279389977455139": 142, "427943229675293": 142, "42796391248703003": 142, "4279734492301941": 142, "4279751181602478": 142, "4279854893684387": 142, "4279940724372864": 142, "428034245967865": 142, "4280908107757568": 142, "4280915260314941": 142, "428094863891602": 142, "428100049495697": 142, "4281385540962219": 142, "4281415343284607": 142, "428153932094574": 142, "4281633496284485": 142, "4281671643257141": 142, "4281775951385498": 142, "4282195568084717": 142, "42822176218032837": 142, "428242027759552": 142, "42825698852539": 142, "4282671809196472": 142, "428274393081665": 142, "42827528715133667": 142, "4282798171043396": 142, "428318977355957": 142, "42834383249282837": 142, "42834991216659546": 142, "42836660146713257": 142, "428368837231925": 142, "428369522094727": 142, "4283892512321472": 142, "4284232258796692": 142, "4284288883209229": 142, "4284313917160034": 142, "42843717336654663": 142, "42844194173812866": 142, "4284593462944031": 142, "42850667238235474": 142, "42851072549819946": 142, "4285542368888855": 142, "4285683035850525": 142, "4285690784454346": 142, "4285699725151062": 142, "4286045432090759": 142, "42861440777778625": 142, "42863208055496216": 142, "4286553859710693": 142, "42868560552597046": 142, "4286925792694092": 142, "4286e": 148, "42871493101119995": 142, "42871803045272827": 142, "4287208914756775": 142, "42874568700790405": 142, "42874640226364136": 142, "42876046895980835": 142, "4287709593772888": 142, "42881065607070923": 142, "42881965637207": 142, "42883819341659546": 142, "428851127624512": 142, "4288522005081177": 142, "42885822057724": 142, "4288909435272217": 142, "42889291048049927": 142, "42889779806137085": 142, "4289781451225281": 142, "42898863554000854": 142, "4289936423301697": 142, "428kb": 134, "429": [134, 142], "4290011525154114": 142, "42901521921157837": 142, "429025650024414": 142, "42902904748916626": 142, "4290554523468018": 142, "42905646562576294": 142, "4290810227394104": 142, "4290812015533447": 142, "42908936738967896": 142, "4291150569915771": 142, "4291509985923767": 142, "429161787033081": 142, "4291620254516602": 142, "4291679263114929": 142, "4291894435882568": 142, "42919450998306274": 142, "4292033910751343": 142, "42921799421310425": 142, "4292216897010803": 142, "42923039197921753": 142, "4292316436767578": 142, "42924243211746216": 142, "4292526841163635": 142, "4292585253715515": 142, "4292678833007812": 142, "4293178915977478": 142, "4293336272239685": 142, "42934566736221313": 142, "42937880754470825": 142, "4293971657752991": 142, "4294458031654358": 142, "42944973707199097": 142, "42945653200149536": 142, "4294653534889221": 142, "42949336767196655": 142, "4294963200": 158, "4295353293418884": 142, "4295418858528137": 142, "42955368757247925": 142, "429567813873291": 142, "42957645654678345": 142, "4296059012413025": 142, "4296101927757263": 142, "429640769958496": 142, "4296460747718811": 142, "4296610355377197": 142, "429673671722412": 142, "429692804813385": 142, "42969805002212524": 142, "4297175407409668": 142, "42972809076309204": 142, "429736852645874": 133, "4297392964363098": 142, "42974382638931274": 142, "4297475814819336": 142, "42976659536361694": 142, "4297770857810974": 142, "42979615926742554": 142, "4298224449157715": 142, "4298233389854431": 142, "42984479665756226": 142, "4299066066741943": 142, "4299284815788269": 142, "42993229627609253": 142, "429945170879364": 142, "4299749732017517": 142, "429kb": 134, "42e": 147, "42g": 129, "42it": [134, 138, 147], "42m": 134, "43": [134, 142, 144, 145, 147, 149, 153, 154], "430": 133, "4300127625465393": 142, "4300169944763184": 142, "43001896142959595": 142, "4300432801246643": 142, "43004924058914185": 142, "4300546646118164": 142, "4300737380981445": 142, "4300869107246399": 142, "43009811639785767": 142, "430098533630371": 142, "4300989508628845": 142, "4301055073738098": 142, "4301186203956604": 142, "43014758825302124": 142, "430159091949463": 142, "4301632046699524": 142, "43016964197158813": 142, "430171012878418": 142, "430187225341797": 142, "4301995635032654": 142, "43022698163986206": 142, "4302845597267151": 142, "430289089679718": 142, "430303156375885": 142, "43034642934799194": 142, "4303544759750366": 142, "43036216497421265": 142, "430380": 154, "4304046034812927": 142, "4304202198982239": 142, "43043798208236694": 142, "430442810058594": 142, "43047112226486206": 142, "43048757314682007": 142, "4304906725883484": 142, "43049687147140503": 142, "4304969310760498": 142, "43052464723587036": 142, "4305719137191772": 142, "4305751323699951": 142, "43058842420578003": 142, "4306088089942932": 142, "4306272268295288": 142, "43062812089920044": 142, "43064767122268677": 142, "43064993619918823": 142, "43065232038497925": 142, "43066543340682983": 142, "430666446685791": 142, "4306778311729431": 142, "4307132363319397": 142, "4307224154472351": 142, "43072909116744995": 142, "4307456016540527": 142, "43076270818710327": 142, "4307669997215271": 142, "43079227209091187": 142, "4308164715766907": 142, "4308369755744934": 142, "4308667778968811": 142, "4308972358703613": 142, "430898666381836": 142, "4308e": 148, "4309470057487488": 142, "4309613108634949": 142, "43097811937332153": 142, "430992066860199": 142, "430kb": 134, "431": [133, 147], "4310019612312317": 142, "43102413415908813": 142, "43104416131973267": 142, "43104976415634155": 142, "43107742071151733": 142, "43112868070602417": 142, "4311442971229553": 142, "4311532974243164": 142, "4311953783035278": 142, "43120282888412476": 142, "43125760": 134, "4312658905982971": 142, "4312734007835388": 142, "43129879236221313": 142, "4313088059425354": 142, "43132930994033813": 142, "4313369393348694": 142, "43134254217147827": 142, "4313538074493408": 142, "43136388063430786": 142, "4313656687736511": 142, "4313663840293884": 142, "4313730001449585": 142, "43137651681900024": 142, "4313787817955017": 142, "431410789489746": 142, "431456983089447": 142, "4314647316932678": 142, "4314717650413513": 142, "43147391080856323": 142, "4314749240875244": 142, "43149489164352417": 142, "43153053522109985": 142, "4315309524536133": 142, "4315875172615051": 142, "4316": 142, "4316111207008362": 142, "43162184953689575": 142, "4316299557685852": 142, "4316529631614685": 142, "4316738247871399": 142, "43168002367019653": 142, "4317631423473358": 142, "4317639470100403": 142, "43177348375320435": 142, "4317800998687744": 142, "4317893981933594": 142, "4317936897277832": 142, "4317994713783264": 142, "43180328607559204": 142, "4318184852600098": 142, "4318382740020752": 142, "43187540769577026": 142, "43190616369247437": 142, "4319224953651428": 142, "43192726373672485": 142, "4319539070129395": 142, "431957": [147, 149], "4319691061973572": 142, "431971549987793": 142, "4319726824760437": 142, "43199974298477173": 142, "431ab0d7557a4639605ba8b67793f053": 129, "431kb": 134, "432": [133, 134, 142], "43200546503067017": 142, "4320276379585266": 142, "4320283532142639": 142, "4320417046546936": 142, "432045887992657": 132, "43204623460769653": 142, "432064414024353": 142, "4320693612098694": 142, "4320900440216064": 142, "4321036338806152": 142, "4321094751358032": 142, "4321257472038269": 142, "4321509003639221": 142, "4321551322937012": 142, "4321569800376892": 142, "43221515417099": 142, "4322277903556824": 142, "4322288036346436": 142, "43223220109939575": 142, "4322372078895569": 142, "43226903676986694": 142, "43227797746658325": 142, "4322872757911682": 142, "43229764699935913": 142, "432319700717926": 142, "4323272109031677": 142, "4323580861091614": 142, "4323738217353821": 142, "43239063024520874": 142, "4323947429656982": 142, "4324004650115967": 142, "432411253452301": 142, "43241411447525024": 142, "43243056535720825": 142, "43244224786758423": 142, "4324429035186768": 142, "4324510097503662": 142, "43245190382003784": 142, "4324650168418884": 142, "43250352144241333": 142, "43251949548721313": 142, "4325506091117859": 142, "4325537085533142": 142, "4325944781303406": 142, "4326072335243225": 142, "4326487183570862": 142, "4326622486114502": 142, "4326661229133606": 142, "4326694011688232": 142, "4326739311218262": 142, "432711601257324": 142, "432712554931641": 142, "432713508605957": 142, "4327318072319031": 142, "4327714443206787": 142, "4327750205993652": 142, "4327760338783264": 142, "4327762126922607": 142, "4327772259712219": 142, "432786226272583": 142, "43278878927230835": 142, "432789146900177": 142, "4327927231788635": 142, "432793": 154, "4328014850616455": 142, "4328097701072693": 142, "4328373074531555": 142, "4328417778015137": 142, "43284934759140015": 142, "43286532163619995": 142, "4328765273094177": 142, "4328828454017639": 142, "4329017996788025": 142, "4329279065132141": 142, "43292897939682007": 142, "4329386949539185": 142, "4329391121864319": 142, "43295198678970337": 142, "43295687437057495": 142, "4329686760902405": 142, "43298274278640747": 142, "433": 133, "4330018162727356": 142, "433014869689941": 142, "4330149292945862": 142, "4330231547355652": 142, "433029055595398": 142, "4330430030822754": 142, "4330599904060364": 142, "43306177854537964": 142, "43308085203170776": 142, "43309181928634644": 142, "43310219049453735": 142, "433105230331421": 142, "4331210255622864": 142, "4331457018852234": 142, "43314629793167114": 142, "4331677556037903": 142, "4331691861152649": 142, "43317657709121704": 142, "4331766366958618": 142, "4331889748573303": 142, "4331943392753601": 142, "433204710483551": 142, "4332118630409241": 142, "43321341276168823": 142, "43321627378463745": 142, "43321865797042847": 142, "4332321286201477": 142, "43323272466659546": 142, "4332401156425476": 142, "4332433342933655": 142, "43324869871139526": 142, "4332517981529236": 142, "43325334787368774": 142, "43325406312942505": 142, "4333": [147, 149], "433302879333496": 142, "4333034157752991": 142, "4333084225654602": 142, "4333276152610779": 142, "4333658814430237": 142, "4333670139312744": 142, "4333856701850891": 142, "4333880543708801": 142, "4333891272544861": 142, "4333924651145935": 142, "43339890241622925": 142, "433398962020874": 142, "43340879678726196": 142, "4334273934364319": 142, "4334401488304138": 142, "43344467878341675": 142, "4334752559661865": 142, "4334978461265564": 142, "4335032105445862": 142, "43351036310195923": 142, "4335124492645264": 142, "4335150718688965": 142, "43352001905441284": 142, "4335387349128723": 142, "43355029821395874": 142, "43355387449264526": 142, "4335586428642273": 142, "4335644841194153": 142, "43358534574508667": 142, "43360382318496704": 142, "43360787630081177": 142, "4336482286453247": 142, "4336552023887634": 142, "4336701035499573": 142, "43368786573410034": 142, "4336979389190674": 142, "4336997866630554": 142, "4337034821510315": 142, "4337126612663269": 142, "43371516466140747": 142, "4337173104286194": 142, "4337320923805237": 142, "43373793363571167": 142, "4337509274482727": 142, "433754026889801": 142, "4337669014930725": 142, "43379074335098267": 142, "4338": 142, "43380993604660034": 142, "433813": [147, 149], "433857262134552": 142, "4338687658309937": 142, "43388831615448": 142, "43388837575912476": 142, "43389612436294556": 142, "4339146018028259": 142, "4339330792427063": 142, "43393510580062866": 142, "43393629789352417": 142, "4339368343353271": 142, "433937072753906": 142, "4339856505393982": 142, "433991014957428": 142, "433kb": 134, "434": 142, "4340454936027527": 142, "4340631365776062": 142, "43406468629837036": 142, "4340718388557434": 142, "43407517671585083": 142, "43407803773880005": 142, "4340786337852478": 142, "4340980648994446": 142, "4341816902160645": 142, "4342041015625": 142, "4342185854911804": 142, "4342256188392639": 142, "43424123525619507": 142, "4342431426048279": 142, "4342799782752991": 142, "4342877268791199": 142, "4343": 142, "4343239665031433": 142, "43433254957199097": 142, "43438225984573364": 142, "4343859553337097": 142, "434387445449829": 142, "4343973994255066": 142, "43439894914627075": 142, "4344026446342468": 142, "4344235062599182": 142, "43444615602493286": 142, "4345371723175049": 142, "43457168340682983": 142, "43459099531173706": 142, "4346044659614563": 142, "43460506200790405": 142, "4346078634262085": 142, "43465596437454224": 142, "43465620279312134": 142, "43466120958328247": 142, "43467408418655396": 142, "43467897176742554": 142, "43468207120895386": 142, "434715211391449": 142, "434736430644989": 142, "4347481727600098": 142, "43477827310562134": 142, "434781014919281": 142, "4347882866859436": 142, "4347917437553406": 142, "4348519444465637": 142, "43485695123672485": 142, "434889018535614": 142, "4349241852760315": 142, "43493300676345825": 142, "43494588136672974": 142, "434951663017273": 142, "4349737763404846": 142, "435": 133, "4350051879882812": 142, "4350258111953735": 142, "43504267930984497": 142, "43505579233169556": 142, "4350661635398865": 142, "4351091980934143": 142, "4351179003715515": 142, "43512624502182007": 142, "43516069650650024": 142, "435175359249115": 142, "4351882338523865": 142, "43523794412612915": 142, "4352552890777588": 142, "43526583909988403": 142, "4352746605873108": 142, "4352812170982361": 142, "4352879524230957": 142, "4353047609329224": 142, "4353054165840149": 142, "4353070259094238": 142, "43534988164901733": 142, "435352087020874": 142, "4353634119033813": 142, "435368299484253": 142, "4353758692741394": 142, "4353869557380676": 142, "43539053201675415": 142, "43540316820144653": 142, "43540579080581665": 142, "4354195594787598": 142, "4354401230812073": 142, "4354479908943176": 142, "43547385931015015": 142, "4354957938194275": 142, "4355013370513916": 142, "4355059266090393": 142, "435515820980072": 142, "4355740547180176": 142, "43559879064559937": 142, "4355990886688232": 142, "43560296297073364": 142, "43563932180404663": 142, "43567293882369995": 142, "435695": [147, 149], "4356982111930847": 142, "43571001291275024": 142, "43571358919143677": 142, "4357181191444397": 142, "4357420802116394": 142, "4357553720474243": 142, "4357866644859314": 142, "43579012155532837": 142, "435807704925537": 142, "43581539392471313": 142, "4358211159706116": 142, "4358755946159363": 142, "4358856678009033": 142, "435893177986145": 142, "4359058737754822": 142, "43590646982192993": 142, "43590670824050903": 142, "4359092712402344": 142, "43591612577438354": 142, "43591803312301636": 142, "43595814704895": 142, "43598586320877075": 142, "436": 133, "4360261559486389": 142, "4360401630401611": 142, "4360761642456055": 142, "43608278036117554": 142, "4360854625701904": 142, "4360867142677307": 142, "43610554933547974": 142, "4361199736595154": 142, "43613356351852417": 142, "4361398220062256": 142, "43615013360977173": 142, "4361889362335205": 142, "4362073540687561": 142, "4362401962280273": 142, "4362439513206482": 142, "4362475872039795": 142, "4362564086914062": 142, "4362661838531494": 142, "4363": 142, "43630677461624146": 142, "436309278011322": 142, "43632036447525024": 142, "43632954359054565": 142, "436381995677948": 142, "4363850951194763": 142, "4363985061645508": 142, "4364": 142, "4364190101623535": 142, "43642348051071167": 142, "43644458055496216": 142, "4364573359489441": 142, "4364846348762512": 142, "43649673461914": 142, "4365113377571106": 142, "43654006719589233": 142, "4365763664245605": 142, "4365817904472351": 142, "4365907311439514": 142, "4366": 142, "4366411566734314": 142, "4366489052772522": 142, "4366760849952698": 142, "436689376831055": 142, "4367148280143738": 142, "43671876192092896": 142, "4367222189903259": 142, "43673497438430786": 142, "4367665648460388": 142, "436772346496582": 142, "4368": 142, "43682557344436646": 142, "436859369277954": 142, "43686598539352417": 142, "4368700385093689": 142, "4368731379508972": 142, "436874389648438": 142, "4368986487388611": 142, "43690043687820435": 142, "4369143843650818": 142, "43692880868911743": 142, "437": [132, 138, 157], "4370": 142, "4370129704475403": 142, "4370248317718506": 142, "43703585863113403": 142, "4370611310005188": 142, "43707537651062": 142, "4370864629745483": 142, "4370872378349304": 142, "4371005892753601": 142, "4371115565299988": 142, "4371231198310852": 142, "43714195489883423": 142, "4371953010559082": 142, "4372177720069885": 142, "4372261166572571": 142, "43729275465011597": 142, "4373299479484558": 142, "4373471140861511": 142, "43735843896865845": 142, "43738895654678345": 142, "43739861249923706": 142, "43740755319595337": 142, "437420129776001": 142, "437429": [147, 149], "43745726346969604": 142, "43748408555984497": 142, "4375090003013611": 142, "4375193119049072": 142, "4375348687171936": 142, "4375355839729309": 142, "43757110834121704": 142, "43757694959640503": 142, "4375815987586975": 142, "4375919699668884": 142, "4376696348190308": 142, "4376898407936096": 142, "4377098083496094": 142, "437712": 154, "43771427869796753": 142, "4377221465110779": 142, "4377245306968689": 142, "4377260208129883": 142, "43773704767227173": 142, "4377665519714355": 142, "4377810955047607": 142, "4378034472465515": 142, "437805712223053": 142, "4378252029418945": 142, "43783026933670044": 142, "43785327672958374": 142, "437854290008545": 142, "43788009881973267": 142, "43793123960494995": 142, "4379367232322693": 142, "43794864416122437": 142, "4379844665527344": 142, "437kb": 134, "4380009174346924": 142, "43800872564315796": 142, "43804460763931274": 142, "4380570650100708": 142, "43807703256607056": 142, "43810170888900757": 142, "4381115436553955": 142, "4381253719329834": 142, "4381498694419861": 142, "4381667971611023": 142, "438170850276947": 142, "4381900429725647": 142, "4382336735725403": 142, "43827253580093384": 142, "4382861256599426": 142, "4383032321929932": 142, "4383373260498047": 142, "4383576512336731": 142, "4383646845817566": 142, "43839210271835327": 142, "4384": 142, "4384198188781738": 142, "43842726945877075": 142, "438459038734436": 142, "4384620785713196": 142, "4384685158729553": 142, "4384893774986267": 142, "4384947419166565": 142, "4384992718696594": 142, "43850141763687134": 142, "4385088086128235": 142, "4385102391242981": 142, "4385290741920471": 142, "4385327696800232": 142, "4385969042778015": 142, "4385e": 147, "438600": [147, 149], "4386615753173828": 142, "43869322538375854": 142, "43874841928482056": 142, "43876081705093384": 142, "43876391649246216": 142, "4387671947479248": 142, "43877309560775757": 142, "4387955069541931": 142, "4388074278831482": 142, "4388208389282227": 142, "4388396739959717": 142, "4388502240180969": 142, "4388890266418457": 142, "4388931393623352": 142, "43892842531204224": 142, "438969612121582": 142, "4389702081680298": 142, "43898344039917": 142, "4389992356300354": 142, "4390026926994324": 142, "4390351176261902": 142, "439040184020996": 142, "4390565752983093": 142, "43909353017807007": 142, "43912428617477417": 142, "43914514780044556": 142, "439185619354248": 142, "4391877055168152": 142, "4391968846321106": 142, "43923360109329224": 142, "4392579197883606": 142, "4392910599708557": 142, "4392930865287781": 142, "4392973780632019": 142, "4393019676208496": 142, "43930238485336304": 142, "43932026624679565": 142, "43933171033859253": 142, "43934136629104614": 142, "4393439292907715": 142, "439430236816406": 142, "4394426941871643": 142, "4394572377204895": 142, "4394617080688477": 142, "43953245878219604": 142, "43954867124557495": 142, "4395514130592346": 142, "439589738845825": 142, "439613401889801": 142, "4396302700042725": 142, "439638": 154, "4396488070487976": 142, "4396805167198181": 142, "439680576324463": 142, "4396921992301941": 142, "4397057890892029": 142, "43971019983291626": 142, "43971139192581177": 142, "4397154450416565": 142, "43972867727279663": 142, "43974095582962036": 142, "439820": [147, 149], "4398252964019775": 142, "4398311972618103": 142, "43984752893447876": 142, "4398479461669922": 142, "43986421823501587": 142, "4399009346961975": 142, "439988136291504": 142, "4399e": 148, "43e": 147, "43it": 147, "43m": 134, "44": [134, 138, 142, 144, 147, 149, 153, 154], "440": 147, "4400094151496887": 142, "44001859426498413": 142, "44004184007644653": 142, "440058708190918": 142, "44007450342178345": 142, "440082848072052": 142, "4400877952575684": 142, "4401137828826904": 142, "4401184916496277": 142, "4401195049285889": 142, "44015198945999146": 142, "44019800424575806": 142, "440199613571167": 142, "44020944833755493": 142, "4402323365211487": 142, "440237283706665": 142, "4402496814727783": 142, "44025009870529175": 142, "4402514100074768": 142, "4403000473976135": 142, "4403071999549866": 142, "4403262734413147": 142, "44033902883529663": 142, "440357506275177": 142, "4403650164604187": 142, "4404": 142, "4404075145721436": 142, "44042855501174927": 142, "4404368996620178": 142, "4404557943344116": 142, "4404675364494324": 142, "4404720664024353": 142, "44053715467453003": 142, "4405572414398193": 142, "440568923950195": 142, "440584182739258": 142, "4405995011329651": 142, "4406324028968811": 142, "44064241647720337": 142, "4406437873840332": 142, "4406811594963074": 142, "440702199935913": 142, "440733790397644": 142, "4407402276992798": 142, "44074636697769165": 142, "44076305627822876": 142, "44082003831863403": 142, "4408307075500488": 142, "440842628479004": 142, "44084566831588745": 142, "440864622592926": 142, "44089776277542114": 142, "440904438495636": 142, "44095951318740845": 142, "440960": [147, 149], "4409610629081726": 142, "4409653030285233e": 142, "4409653513198624e": 142, "4409704208374023": 142, "44097381830215454": 142, "44099849462509155": 142, "440kb": 134, "441": 142, "44100528955459595": 142, "4410274028778076": 142, "44104212522506714": 142, "441046953201294": 142, "44106215238571167": 142, "4411030411720276": 142, "4411087036132812": 142, "4411173462867737": 142, "44113415479660034": 142, "44113558530807495": 142, "44115298986434937": 142, "4411739706993103": 142, "4412428140640259": 142, "44127076864242554": 142, "441275417804718": 142, "4413273334503174": 142, "4413396716117859": 142, "44134706258773804": 142, "44139009714126587": 142, "441392421722412": 142, "441409170627594": 142, "44142383337020874": 142, "4414386749267578": 142, "44146090745925903": 142, "44146138429641724": 142, "4415276050567627": 142, "44152766466140747": 142, "441540": 154, "4415903687477112": 142, "4416275024414062": 142, "4416475296020508": 142, "44164830446243286": 142, "44168800115585327": 142, "44168931245803833": 142, "44169282913208": 142, "44172292947769165": 142, "441749632358551": 142, "44175082445144653": 142, "4417760968208313": 142, "44182461500167847": 142, "4418416023254395": 142, "4418659210205078": 142, "441894769668579": 142, "4419063925743103": 142, "441937446594238": 142, "441950261592865": 142, "44197481870651245": 142, "4419766068458557": 142, "441986083984375": 142, "44199800491333": 142, "442": 142, "4420068860054016": 142, "4420308470726013": 142, "44203847646713257": 142, "442039430141449": 142, "44204598665237427": 142, "4420613646507263": 142, "442091166973114": 142, "44209545850753784": 142, "442101240158081": 142, "442114": [147, 149], "4421563744544983": 142, "4421601295471191": 142, "4421660304069519": 142, "44221585988998413": 142, "4422391653060913": 142, "4422404170036316": 142, "442241907119751": 142, "4422457218170166": 142, "4422643780708313": 142, "4422667622566223": 142, "4422946572303772": 142, "442324161529541": 142, "4423319697380066": 142, "4423389434814453": 142, "442352831363678": 142, "4423588514328003": 142, "4423726201057434": 142, "4423809051513672": 142, "4424193501472473": 142, "44244855642318726": 142, "4424818158149719": 142, "4424958229064941": 142, "442496120929718": 142, "4425": 142, "4425439238548279": 142, "4425644278526306": 142, "4425681233406067": 142, "4426339268684387": 142, "4426349997520447": 142, "442646": [147, 149], "4426543712615967": 142, "4426574110984802": 142, "4427095055580139": 142, "4427298903465271": 142, "44280534982681274": 142, "4428158402442932": 142, "4428249001502991": 142, "442851722240448": 142, "4428684115409851": 142, "4428808689117432": 142, "44288426637649536": 142, "4429353475570679": 142, "442kb": 134, "443": [134, 142], "4430057406425476": 142, "44302433729171753": 142, "44302958250045776": 142, "44304388761520386": 142, "4430467486381531": 142, "4430885314941406": 142, "4430959224700928": 142, "4431": 142, "44310158491134644": 142, "443140029907227": 142, "44315391778945923": 142, "4431583285331726": 142, "4431610703468323": 142, "4431686401367188": 142, "44317930936813354": 142, "4431909918785095": 142, "4432151317596436": 142, "4432176947593689": 142, "4432244896888733": 142, "44326549768447876": 142, "443279504776001": 142, "4432796070650378": 142, "443279607065039": 142, "4433269500732422": 142, "44335752725601196": 142, "4433588981628418": 142, "443361282348633": 142, "4433631896972656": 142, "4433672428131104": 142, "44336801767349243": 142, "4433727264404297": 142, "44338828325271606": 142, "4433900713920593": 142, "443403": [147, 149], "4434399604797363": 142, "4434426426887512": 142, "4434711933135986": 142, "44349759817123413": 142, "443513870239258": 142, "44351667165756226": 142, "4435264468193054": 142, "4435269236564636": 142, "4435341358184814": 142, "443547248840332": 142, "44356411695480347": 142, "4435653686523438": 142, "44361311197280884": 142, "4436132311820984": 142, "4436140060424805": 142, "4436297416687012": 142, "4436519145965576": 142, "443669855594635": 142, "4437251687049866": 142, "443793535232544": 142, "4438006281852722": 142, "4438233971595764": 142, "44387000799179077": 142, "44390422105789185": 142, "44392603635787964": 142, "44398027658462524": 142, "44398313760757446": 142, "4440075755119324": 142, "4440094232559204": 142, "4440247416496277": 142, "44402867555618286": 142, "444042205810547": 142, "4440433382987976": 142, "4440547823905945": 142, "4440688490867615": 142, "4441": 142, "4441571831703186": 142, "4441707134246826": 142, "44417405128479": 142, "444204330444336": 142, "4442193508148193": 142, "444225788116455": 142, "4442749619483948": 142, "44429486989974976": 142, "4443379044532776": 142, "4443411827087402": 142, "4443764686584473": 142, "4443797469139099": 142, "444398880004883": 142, "4444001317024231": 142, "444413423538208": 142, "444424629211426": 142, "4444360136985779": 142, "444439172744751": 142, "444440841674805": 142, "4444900155067444": 142, "4444989562034607": 142, "44452136754989624": 142, "4445290565490723": 142, "4445526599884033": 142, "4445587992668152": 142, "4445987343788147": 142, "44460541009902954": 142, "44460660219192505": 142, "4446205496788025": 142, "4446302056312561": 142, "4446804523468018": 142, "4446948170661926": 142, "444705": [147, 149], "44473427534103394": 142, "4447506070137024": 142, "444761037826538": 142, "44480496644973755": 142, "4448496699333191": 142, "4448529481887817": 142, "444868803024292": 142, "44489413499832153": 142, "4449065327644348": 142, "44490760564804077": 142, "44491809606552124": 142, "4449719786643982": 142, "4449806809425354": 142, "44499367475509644": 142, "445021152496338": 142, "44502854347229": 142, "44503968954086304": 142, "44504958391189575": 142, "44515496492385864": 142, "44516414403915405": 142, "4452": 142, "44520848989486694": 142, "4452281594276428": 142, "44522935152053833": 142, "44523149728775024": 142, "4452428817749023": 142, "445336103439331": 142, "44534212350845337": 142, "4454120993614197": 142, "44547098875045776": 142, "4454806447029114": 142, "445497989654541": 142, "4455022811889648": 142, "4455268979072571": 142, "445539653301239": 142, "4455675482749939": 142, "445570468902588": 142, "4455764889717102": 142, "445603370666504": 142, "4456344246864319": 142, "445669174194336": 142, "44573384523391724": 142, "44574040174484253": 142, "44578462839126587": 142, "445786952972412": 142, "44579166173934937": 142, "4458": 156, "4458038806915283": 142, "44583767652511597": 142, "44583791494369507": 142, "44585126638412476": 142, "4458568096160889": 142, "4458628296852112": 142, "4458760619163513": 142, "4458830952644348": 142, "44588905572891235": 142, "4458971619606018": 142, "4459013938903809": 142, "445931434631348": 142, "4459373950958252": 142, "4459469318389893": 142, "4459531903266907": 142, "44595545530319214": 142, "44598577380181": 134, "4459948539733887": 142, "44599705934524536": 142, "445kb": 134, "446": 142, "446031": 154, "44610506296157837": 142, "4461680054664612": 142, "4462108612060547": 142, "4462270140647888": 142, "4462509751319885": 142, "44625478982925415": 142, "44628793001174927": 142, "4462883472442627": 142, "4463117122650146": 142, "446343183517456": 142, "44635313749313354": 142, "4463687539100647": 142, "44638437032699585": 142, "4464418292045593": 142, "4464576840400696": 142, "44646137952804565": 142, "4464760422706604": 142, "446542501449585": 142, "446550": [147, 149], "4466": [147, 149], "4466171860694885": 142, "44662052392959595": 142, "44662076234817505": 142, "4466251730918884": 142, "4466729164123535": 142, "44670015573501587": 142, "4467013478279114": 142, "4467615485191345": 142, "4467831254005432": 142, "4468": 142, "4468564987182617": 142, "446864": 154, "44687002897262573": 142, "4468924403190613": 142, "4469068050384521": 142, "4469185471534729": 142, "44693583250045776": 142, "446940422058105": 142, "44698745012283325": 142, "447": [139, 147], "44703465700149536": 142, "44708818197250366": 142, "44710081815719604": 142, "44711369276046753": 142, "4471166133880615": 142, "44712239503860474": 142, "447172164916992": 142, "4471741318702698": 142, "4471821188926697": 142, "4471867084503174": 142, "44719308614730835": 142, "44720298051834106": 142, "447208404541016": 142, "4472429752349854": 142, "4472499489784241": 142, "4472556114196777": 142, "4472756385803223": 142, "4473556876182556": 142, "4473668932914734": 142, "4473673701286316": 142, "4474": 142, "44742220640182495": 142, "44743651151657104": 142, "4474504590034485": 142, "4474814534187317": 142, "4475": 142, "4475109577178955": 142, "4475126266479492": 142, "4475345611572266": 142, "4475361704826355": 142, "447543144226074": 142, "44764894247055054": 142, "4476549625396729": 142, "44765573740005493": 142, "4476938247680664": 142, "4476991295814514": 142, "4477198123931885": 142, "4477319121360779": 142, "4477360248565674": 142, "4477391839027405": 142, "4477880597114563": 142, "4478": 142, "44781678915023804": 142, "44781965017318726": 142, "447821617126465": 142, "4478268027305603": 142, "4479153156280518": 142, "4479648470878601": 142, "447kb": 134, "448": 142, "448003768920898": 142, "4480307698249817": 142, "44803839921951294": 142, "4480409026145935": 142, "4480782151222229": 142, "44810622930526733": 142, "4481126666069031": 142, "44812363386154175": 142, "4481377601623535": 142, "4481589794158936": 142, "448175847530365": 142, "448189914226532": 142, "4482085108757019": 142, "4482309818267822": 142, "448259949684143": 142, "44827741384506226": 142, "4483": 142, "4483046531677246": 142, "44835036993026733": 142, "44836145639419556": 142, "44838255643844604": 142, "448404312133789": 142, "44843000173568726": 142, "4484408497810364": 142, "4484437704086304": 142, "4484989047050476": 142, "44852501153945923": 142, "4485275149345398": 142, "4485633969306946": 142, "448570966720581": 142, "4485721588134766": 142, "4485838413238525": 142, "4485928416252136": 142, "4486183524131775": 142, "4486538767814636": 142, "4486609101295471": 142, "44869309663772583": 142, "44870346784591675": 142, "4487040042877197": 142, "4487493634223938": 142, "4488": 142, "44884055852890015": 142, "44888848066329956": 142, "4489150047302246": 142, "448937": [147, 149], "4489731192588806": 142, "4489786624908447": 142, "448980": [147, 149], "44898027181625366": 142, "448f7d352ab6e32f754e24de64ca302a": 129, "448kb": 134, "449": 142, "449021339416504": 142, "4490227699279785": 142, "44902366399765015": 142, "4490330219268799": 142, "4490657448768616": 142, "44909876585006714": 142, "4491055011749268": 142, "4491305947303772": 142, "449194997549057": 142, "4491972327232361": 142, "4492": 142, "449235916137695": 142, "44923943281173706": 142, "4492862820625305": 142, "44932764768600464": 142, "4493526816368103": 142, "4493921399116516": 142, "4494221210479736": 142, "44944459199905396": 142, "4494650959968567": 142, "4494825005531311": 142, "4494917392730713": 142, "44950252771377563": 142, "44950443506240845": 142, "4495139718055725": 142, "4495162963867188": 142, "4495449662208557": 142, "4496003985404968": 142, "4496627449989319": 142, "4496779441833496": 142, "44968122243881226": 142, "44968873262405396": 142, "4496920108795166": 142, "4497137069702148": 142, "4497367143630981": 142, "44978004693984985": 142, "44983166456222534": 142, "4498521685600281": 142, "44985347986221313": 142, "449862003326416": 142, "44988197088241577": 142, "4499048590660095": 142, "44991666078567505": 142, "4499197006225586": 142, "449920117855072": 142, "4499480724334717": 142, "4499688148498535": 142, "4499999999999993": [147, 149], "44e": 147, "44g": 129, "45": [134, 142, 145, 147, 148, 149, 154], "4500": 142, "4500095248222351": 142, "4500349164009094": 142, "4500527381896973": 142, "4500880241394043": 142, "45014762878418": 142, "4501543045043945": 142, "4501566886901855": 142, "4501815438270569": 142, "4502079486846924": 142, "45021390914917": 142, "4502337574958801": 142, "45026010274887085": 142, "4502999782562256": 142, "4503142833709717": 142, "45033520460128784": 142, "45034533739089966": 142, "450383722782135": 142, "45040804147720337": 142, "4504469037055969": 142, "45047515630722046": 142, "4504764080047607": 142, "450491428375244": 142, "45049554109573364": 142, "4505537152290344": 142, "4505964517593384": 142, "45064038038253784": 142, "4506606459617615": 142, "45067375898361206": 142, "45068830251693726": 142, "450723648071289": 142, "45074552297592163": 142, "4507880210876465": 142, "4508129954338074": 142, "4508240818977356": 142, "4508583545684814": 142, "4508756995201111": 142, "45090848207473755": 142, "450922429561615": 142, "4509349465370178": 142, "450973510742188": 142, "4509841799736023": 142, "4509985446929932": 142, "4510188698768616": 142, "45102185010910034": 142, "4510264992713928": 142, "4510810375213623": 142, "4511653780937195": 142, "4511820673942566": 142, "4512001872062683": 142, "451201856136322": 142, "451238214969635": 142, "4512394070625305": 142, "4512412548065186": 142, "45127278566360474": 142, "4512787461280823": 142, "4513067603111267": 142, "4513113498687744": 142, "45140546560287476": 142, "451413631439209": 142, "4514210820198059": 142, "451423645019531": 142, "4514391422271729": 142, "451468288898468": 142, "4515": 142, "4515264630317688": 142, "451541": 154, "45154857635498": 142, "451549530029297": 142, "451557159423828": 142, "45157724618911743": 142, "45158625849998374": 147, "4516288638114929": 142, "4516291618347168": 142, "4516336917877197": 142, "4516569972038269": 142, "4517790675163269": 142, "45179110765457153": 142, "4518396854400635": 142, "45185667276382446": 142, "4518961906433105": 142, "45190078020095825": 142, "451927125453949": 142, "4519329071044922": 142, "4519367814064026": 142, "4519466757774353": 142, "4519490003585815": 142, "451987087726593": 142, "452": [134, 142], "4520": 142, "45201820135116577": 142, "452021062374115": 142, "4520421624183655": 142, "4520617127418518": 142, "45208340883255005": 142, "452086448669434": 142, "4520900249481201": 142, "45209503173828": 142, "4521095752716064": 142, "452129364013672": 142, "452161967754364": 142, "4521788954734802": 142, "45218276977539": 142, "4521889090538025": 142, "4521913528442383": 142, "452218770980835": 142, "45221883058547974": 142, "4522554278373718": 142, "4523323178291321": 142, "4523863792419434": 142, "4524": 142, "4524095058441162": 142, "452430822420865e": 142, "452492892742157": 142, "4525117874145508": 142, "4525243639945984": 142, "4525666832923889": 142, "452572762966156": 142, "4525817036628723": 142, "452594041824341": 142, "452601432800293": 142, "45263367891311646": 142, "45264": [64, 77, 92], "4526992440223694": 142, "4527084231376648": 142, "45273083448410034": 142, "4527592658996582": 142, "45284652709961": 142, "4528483748435974": 142, "45285362005233765": 142, "45288974046707153": 142, "4528988003730774": 142, "45291668176651": 142, "45292854309082": 142, "45295876264572144": 142, "45299309492111206": 142, "452kb": 134, "4530": 134, "45302677154541": 142, "4530318975448608": 142, "4530336260795593": 142, "4530587196350098": 142, "4530653953552246": 142, "45313262939453": 142, "45314913988113403": 142, "4531943202018738": 142, "4532034993171692": 142, "4532347321510315": 142, "453241765499115": 142, "4532555937767029": 142, "45326870679855347": 142, "4533056616783142": 142, "453427314758301": 142, "45344871282577515": 142, "4534587264060974": 142, "45347851514816284": 142, "45348626375198364": 142, "453503608703613": 142, "4535081386566162": 142, "45351213216781616": 142, "45351773500442505": 142, "45352554321289": 142, "4536": 142, "45367544889450073": 142, "45367950201034546": 142, "4537389278411865": 142, "4537672996520996": 142, "4537677764892578": 142, "453767776489258": 142, "4537782669067383": 142, "4538": 142, "45383042097091675": 142, "4538317322731018": 142, "4538400173187256": 142, "4538424611091614": 142, "453852653503418": 142, "45385581254959106": 142, "4538639187812805": 142, "4538686275482178": 142, "4539260268211365": 142, "453kb": 134, "454": 142, "454017162322998": 142, "454037": [147, 149], "454048216342926": 142, "45407217741012573": 142, "4541141986846924": 142, "4541425108909607": 142, "454165518283844": 142, "45417994260787964": 142, "454185485839844": 142, "4541953206062317": 142, "4542091488838196": 142, "4542214274406433": 142, "4542522430419922": 142, "45425480604171753": 142, "4542574882507324": 142, "4542648792266846": 142, "45426875352859497": 142, "454352855682373": 142, "4543885588645935": 142, "4544374346733093": 142, "45445138216018677": 142, "45445460081100464": 142, "4544672966003418": 142, "45447295904159546": 142, "454474925994873": 142, "4544854164123535": 142, "45449620485305786": 142, "45450514554977417": 142, "4545197486877441": 142, "4545249938964844": 142, "4545746445655823": 142, "454592227935791": 142, "4545950889587402": 142, "4546491503715515": 142, "4546576142311096": 142, "45467907190322876": 142, "454690933227539": 142, "4547070860862732": 142, "4547247886657715": 142, "4547589421272278": 142, "4548194408416748": 142, "4548521041870117": 142, "4549": 142, "45496588945388794": 142, "45496875047683716": 142, "4550299644470215": 142, "4550402760505676": 142, "4550418257713318": 142, "4550626873970032": 142, "455068588256836": 142, "4550701975822449": 142, "4551239013671875": 142, "45512980222702026": 142, "4551832675933838": 142, "4552024006843567": 142, "45520538091659546": 142, "4552406668663025": 142, "45526546239852905": 142, "45529842376709": 142, "4552997946739197": 142, "45533281564712524": 142, "45535165071487427": 142, "4554157853126526": 142, "4554316997528076": 142, "4554593563079834": 142, "45547086000442505": 142, "4555070996284485": 142, "4555563926696777": 142, "455655038356781": 142, "4556987285614014": 142, "4557035565376282": 142, "45572370290756226": 142, "45581120252609253": 142, "4558250308036804": 142, "455833435058594": 142, "4558655619621277": 142, "4558683633804321": 142, "4558738470077515": 142, "45588189363479614": 142, "455935537815094": 142, "45593851804733276": 142, "45594853162765503": 142, "4559538960456848": 142, "4559785723686218": 142, "455kb": 134, "4560": 154, "4560108184814453": 142, "45604342222213745": 142, "45608144998550415": 142, "456087112426758": 142, "4561135172843933": 142, "4561188220977783": 142, "4561303853988647": 142, "4561329483985901": 142, "45620161294937134": 142, "45622730255127": 142, "45623207092285": 142, "45627766847610474": 142, "4562853574752808": 142, "45629578828811646": 142, "456300735473633": 142, "45630210638046265": 142, "45631784200668335": 142, "4563229084014893": 142, "456327438354492": 142, "4564146399497986": 142, "45641857385635376": 142, "4564414024353027": 142, "456450343132019": 142, "45646530389785767": 142, "45651155710220337": 142, "4565843939781189": 142, "4566116333007812": 142, "4566219449043274": 142, "45671457052230835": 142, "456719160079956": 142, "45672065019607544": 142, "4567299485206604": 142, "456759214401245": 142, "4567770957946777": 142, "4568483233451843": 142, "4568559527397156": 142, "4569094777107239": 142, "456968069076538": 142, "4569820761680603": 142, "456984519958496": 142, "456991195678711": 142, "4570119380950928": 142, "457014083862305": 142, "45702773332595825": 142, "45704132318496704": 142, "4570415561499996": 147, "457056045532227": 142, "4570605158805847": 142, "4570715427398682": 142, "4571067094802856": 142, "4571368098258972": 142, "457174301147461": 142, "4571855068206787": 142, "45723533630371": 142, "45724791288375854": 142, "4572555422782898": 142, "4572811722755432": 142, "4573": 142, "45732444524765015": 142, "4573255181312561": 142, "45736342668533325": 142, "45737892389297485": 142, "4574248790740967": 142, "45743244886398315": 142, "457477569580078": 142, "45749014616012573": 142, "4575231075286865": 142, "4575508236885071": 142, "4575619101524353": 142, "4576005935668945": 142, "4576072096824646": 142, "4576137065887451": 142, "45761948823928833": 142, "4576203227043152": 142, "45766204595565796": 142, "4577633738517761": 142, "45778948068618774": 142, "4577990174293518": 142, "4578": 142, "45791441202163696": 142, "4579264521598816": 142, "4579290747642517": 142, "45799118280410767": 142, "45799821615219116": 142, "457kb": 134, "458": [132, 139], "4580490589141846": 142, "4580778479576111": 142, "458084106445312": 142, "4581298828125": 142, "4581809043884277": 142, "458199977874756": 142, "45820099115371704": 142, "4582176208496094": 142, "4582558274269104": 142, "45827168226242065": 142, "4583": 142, "458362340927124": 142, "458373785018921": 142, "4583839178085327": 142, "4584059715270996": 142, "4584077000617981": 142, "458451271057129": 142, "4584591388702393": 142, "45847088098526": 142, "458489418029785": 142, "4584953188896179": 142, "4585021138191223": 142, "45851415395736694": 142, "4585266709327698": 142, "458540916442871": 142, "4585607051849365": 142, "45861929655075073": 142, "4586583971977234": 142, "458674669265747": 142, "45868033170700073": 142, "4587422013282776": 142, "4587440490722656": 142, "458763837814331": 142, "45880669355392456": 142, "4588220715522766": 142, "458858489990234": 142, "4588624835014343": 142, "4588770866394043": 142, "45893388986587524": 142, "4589405655860901": 142, "4589719772338867": 142, "458kb": 134, "4590435028076172": 142, "4590911269187927": 142, "4590972065925598": 142, "4591020941734314": 142, "45921045541763306": 142, "459263324737549": 142, "4593": 142, "4593130946159363": 142, "4593262672424316": 142, "45932716131210327": 142, "4593315124511719": 142, "459378182888031": 142, "459418773651123": 142, "4594671130180359": 142, "4594805836677551": 142, "45948129892349243": 142, "4595": 142, "459533154964447": 142, "4595566391944885": 142, "45955759286880493": 142, "4595625400543213": 142, "4595791697502136": 142, "459637641906738": 142, "459675312042236": 142, "4596763253211975": 142, "4596930146217346": 142, "4597": 148, "459711074829102": 142, "4598243832588196": 142, "45982807874679565": 142, "459858894348145": 142, "45994073152542114": 142, "459kb": 134, "45e": 147, "45it": 147, "45m": 134, "45y": [147, 149], "46": [134, 142, 145, 147, 148, 149, 154], "46002501249313354": 142, "4600406289100647": 142, "4600443840026855": 142, "46004945039749146": 142, "460066795349121": 142, "460073471069336": 142, "460074424743652": 142, "4600799083709717": 142, "4600815773010254": 142, "460083961486816": 142, "460106372833252": 142, "46021372079849243": 142, "460243225097656": 142, "46024876832962036": 142, "4602826237678528": 142, "4603152871131897": 142, "4603168964385986": 142, "46032410860061646": 142, "46032649278640747": 142, "460328": 129, "4603559374809265": 142, "460371971130371": 142, "4604373574256897": 142, "46050626039505005": 142, "46058815717697144": 142, "4606160521507263": 142, "4606218338012695": 142, "4606258869171143": 142, "4607028365135193": 142, "46071189641952515": 142, "4607873558998108": 142, "46080392599105835": 142, "460827827453613": 142, "4608538150787354": 142, "460860252380371": 142, "460890769958496": 142, "4609045386314392": 142, "4609559178352356": 142, "460970878601074": 142, "4609758853912354": 142, "460k": 147, "460kb": 134, "46100133657455444": 142, "461037635803223": 142, "46105748414993286": 142, "461076259613037": 142, "4611": [147, 149], "4611577987670898": 142, "4611719250679016": 142, "4611737728118896": 142, "4612": [142, 144], "4612453579902649": 142, "461247444152832": 142, "4612691402435303": 142, "4612843990325928": 142, "4612935185432434": 142, "4613037109375": 142, "461313": 129, "461344718933105": 142, "4613804221153259": 142, "461385726928711": 142, "461398124694824": 142, "4614152908325195": 142, "46149247884750366": 142, "46151167154312134": 142, "4615304470062256": 142, "4615406394004822": 142, "46157199144363403": 142, "461578": 154, "461617648601532": 142, "4616301655769348": 142, "461647093296051": 142, "4616531729698181": 142, "461660": 154, "4616941809654236": 142, "4617308974266052": 142, "461759328842163": 142, "461808979511261": 142, "4618212580680847": 142, "4618423581123352": 142, "4618606567382812": 142, "461934089660645": 142, "4619417190551758": 142, "462": 134, "46200984716415405": 142, "46203750371932983": 142, "4620444774627686": 142, "4620853066444397": 142, "4621191620826721": 142, "4621272087097168": 142, "46214765310287476": 142, "462187767028809": 142, "462196350097656": 142, "462205": 154, "462242841720581": 142, "462255": [147, 149], "4622876644134521": 142, "46230149269104": 142, "4623100161552429": 142, "462347030639648": 142, "4623602032661438": 142, "4624230861663818": 142, "46246784925460815": 142, "46253806352615356": 142, "46255964040756226": 142, "46259182691574097": 142, "4627": 142, "46270817518234253": 142, "4628": 142, "46281224489212036": 142, "4628235697746277": 142, "462836742401123": 142, "4628543257713318": 142, "4628560543060303": 142, "462864875793457": 142, "46286505460739136": 142, "462867021560669": 142, "46298599243164": 142, "4629907608032227": 142, "46299678087234497": 142, "462kb": 134, "4630357623100281": 142, "4630630612373352": 142, "4630700945854187": 142, "46308213472366333": 142, "46312230825424194": 142, "4631885886192322": 142, "46319061517715454": 142, "4632120728492737": 142, "4632137417793274": 142, "463303565979004": 142, "46332401037216187": 142, "463335990905762": 142, "46333681": [147, 149], "46333681e": [147, 149], "4634819030761719": 142, "4635357856750488": 142, "4635539650917053": 142, "4636790156364441": 142, "46370047330856323": 142, "4637468457221985": 142, "463768833067144": 142, "463768833067146": 142, "46376895904541": 142, "463781356811523": 142, "463782787322998": 142, "4638": 142, "4638112187385559": 142, "4638654589653015": 142, "463875949382782": 142, "46388310194015503": 142, "4638872146606445": 142, "46388739347457886": 142, "463908195495605": 142, "4639229774475098": 142, "463944435119629": 142, "4639504551887512": 142, "4639785289764404": 142, "4639813303947449": 142, "4639909267425537": 142, "4639928340911865": 142, "464": 147, "464015007019043": 142, "4640466570854187": 142, "464072048664093": 142, "46416717767715454": 142, "4642290472984314": 142, "4642448425292969": 142, "4642922282218933": 142, "46433424949646": 142, "4643532633781433": 142, "464414": 154, "4644615650177002": 142, "464529037475586": 142, "4645431637763977": 142, "464546203613281": 142, "464597702026367": 142, "4646236300468445": 142, "46464985609054565": 142, "4646802544593811": 142, "4646870493888855": 142, "464688241481781": 142, "4647": 142, "4647056460380554": 142, "4647119045257568": 142, "464738845825195": 142, "46474748849868774": 142, "4647512435913086": 142, "464791297912598": 142, "4647980332374573": 142, "46481841802597046": 142, "46485060453414917": 142, "4648542404174805": 142, "4648551344871521": 142, "4648628830909729": 142, "46489864587783813": 142, "464kb": 134, "465": 134, "46503734588623": 142, "46504706144332886": 142, "4650638103485107": 142, "4650866985321045": 142, "465097188949585": 142, "46509987115859985": 142, "46511441469192505": 142, "4652": 142, "465243339538574": 142, "4652564525604248": 142, "4652671813964844": 142, "4653": 142, "46530288457870483": 142, "4653133749961853": 142, "465325355529785": 142, "465353786945343": 142, "4653699398040771": 142, "465442955493927": 142, "465446949005127": 142, "4654510021209717": 142, "4654910564422607": 142, "4655027985572815": 142, "46552127599716187": 142, "4655299782752991": 142, "4655418395996094": 142, "46555930376052856": 142, "4655757546424866": 142, "4655836224555969": 142, "465592384338379": 142, "4656": 142, "46562308073043823": 142, "4656364321708679": 142, "4657202363014221": 142, "46577543020248413": 142, "4658": 154, "4658327102661133": 142, "465838670730591": 142, "4659077525138855": 142, "46591717004776": 142, "46600914001465": 142, "4660582542419434": 142, "4660777449607849": 142, "46610742807388306": 142, "466111660003662": 142, "466142654418945": 142, "466147422790527": 142, "4661824703216553": 142, "4662269949913025": 142, "46626609563827515": 142, "46626895666122437": 142, "466279983520508": 142, "46630597114563": 142, "4663143754005432": 142, "4663448929786682": 142, "4663868546485901": 142, "46638959646224976": 142, "4664": 142, "466414451599121": 142, "4664268493652344": 142, "4665437340736389": 142, "46655601263046265": 142, "46655815839767456": 142, "4665742516517639": 142, "4665756225585938": 142, "4665878415107727": 142, "4666": 142, "4666031002998352": 142, "46661144495010376": 142, "466629981994629": 142, "4667": 142, "46671491861343384": 142, "466726303100586": 142, "4667302966117859": 142, "466738": [147, 149], "4667737483978271": 142, "4668": 142, "46681809425354": 142, "4668315052986145": 142, "46686840057373": 142, "4669192433357239": 142, "466k": 129, "467": 139, "4670202136039734": 142, "4671246409416199": 142, "4671301245689392": 142, "4671371579170227": 142, "4671695232391357": 142, "467182457447052": 142, "467203140258789": 142, "4672625064849854": 142, "4672648906707764": 142, "4672688841819763": 142, "4672725796699524": 142, "4672796726226807": 142, "4673457741737366": 142, "467404842376709": 142, "4674065113067627": 142, "46743613481521606": 142, "4674401879310608": 142, "467456579208374": 142, "46752643585205": 142, "4675293564796448": 142, "46753233671188354": 142, "4675348401069641": 142, "46754735708236694": 142, "4675700664520264": 142, "467607": [147, 149], "4676111340522766": 142, "46764081716537476": 142, "4676721692085266": 142, "46767908334732056": 142, "467707872390747": 142, "46771174669265747": 142, "4677726626396179": 142, "4677741527557373": 142, "467786": 154, "4678": 142, "467842161655426": 142, "46791714429855347": 142, "467kb": 134, "4680426120758057": 142, "468043327331543": 142, "468123197555542": 142, "46814829111099243": 142, "46816831827163696": 142, "468172550201416": 142, "4682188034057617": 142, "46822768449783325": 142, "4682843089103699": 142, "468327283859253": 142, "4683709740638733": 142, "4684367179870605": 142, "46850425004959106": 142, "4685420989990234": 142, "46855098009109497": 142, "46857374906539917": 142, "4685806632041931": 142, "4686211943626404": 142, "4686235785484314": 142, "4686402678489685": 142, "468647301197052": 142, "468651294708252": 142, "46878570318222046": 142, "4687981605529785": 142, "4689": 142, "4689269065856934": 142, "4689541459083557": 142, "4690116047859192": 142, "46906852722168": 142, "46908849477767944": 142, "4691219925880432": 142, "4691402912139893": 142, "46914857625961304": 142, "4692043662071228": 142, "4692771434783936": 142, "469277381896973": 142, "46930474042892456": 142, "4693071842193604": 142, "46935218572616577": 142, "4693581461906433": 142, "4693823456764221": 142, "4693973064422607": 142, "4694228768348694": 142, "4694342613220215": 142, "46943777799606323": 142, "4694597721099854": 142, "4694632887840271": 142, "4694826006889343": 142, "46948352": 158, "46953660249710083": 142, "4695705771446228": 142, "46962302923202515": 142, "4696495532989502": 142, "4697": 142, "46975040435791": 142, "46975940465927124": 142, "46976089477539": 142, "4697670936584473": 142, "46982890367507935": 142, "4698379039764404": 142, "4698522090911865": 142, "46986204385757446": 142, "4698688983917236": 142, "469881057739258": 142, "469911": 154, "4699144959449768": 142, "46992772817611694": 142, "469965934753418": 142, "46e": 147, "46g": 129, "46it": 147, "46m": 134, "47": [134, 142, 147, 149, 154], "470004": 154, "4700302481651306": 142, "47007662057876587": 142, "470123767852783": 142, "470138549804688": 142, "47016555070877075": 142, "4701876640319824": 142, "4702057838439941": 142, "4702333211898804": 142, "470233917236328": 142, "47024327516555786": 142, "470253586769104": 142, "47028297185897827": 142, "4702915549278259": 142, "4703463912010193": 142, "4703633785247803": 142, "4704684615135193": 142, "47047001123428345": 142, "4704887866973877": 142, "4705114960670471": 142, "47057217359542847": 142, "4705748558044434": 142, "4705938696861267": 142, "4706042408943176": 142, "4706194996833801": 142, "470700204372406": 142, "47072142362594604": 142, "4707262516021729": 142, "4707870483398438": 142, "4708051681518555": 142, "47092342376709": 142, "4709938168525696": 142, "470kb": 134, "471": 142, "4710": 147, "471022605895996": 142, "4710488319396973": 142, "47105199098587036": 142, "4710840582847595": 142, "471085786819458": 142, "4711053967475891": 142, "4711318612098694": 142, "4711408615112305": 142, "47119420766830444": 142, "4712085723876953": 142, "471224": 154, "471267700195312": 142, "4712684750556946": 142, "4713332653045654": 142, "4713419675827026": 142, "4713682532310486": 142, "4714658856391907": 142, "47152822": [147, 149], "47152822e": [147, 149], "47154349088668823": 142, "471567153930664": 142, "471572875976562": 142, "4716261029243469": 142, "47163230180740356": 142, "47165578603744507": 142, "471674919128418": 142, "4717097878456116": 142, "4717302918434143": 142, "47174400091171265": 142, "4717865586280823": 142, "471813678741455": 142, "4718825817108154": 142, "471894264221191": 142, "471909523010254": 142, "47192174196243286": 142, "471944808959961": 142, "4719809889793396": 142, "4719836115837097": 142, "472004890441895": 142, "472031593322754": 142, "4721": 142, "472150981426239": 142, "472171783447266": 142, "4721815586090088": 142, "472188949584961": 142, "472190797328949": 142, "472221374511719": 142, "47224515676498413": 142, "4722922444343567": 142, "472313404083252": 142, "47232359647750854": 142, "47233015298843384": 142, "47236400842666626": 142, "47237974405288696": 142, "472429037094116": 142, "47247081995010376": 142, "472487449645996": 142, "4725": 147, "4725448489189148": 142, "47255319356918335": 142, "4725704193115234": 142, "47259801626205444": 142, "47261935472488403": 142, "472643852233887": 142, "4726678729057312": 142, "4727213978767395": 142, "4727554321289062": 142, "4727e": 147, "4728": 142, "4728476405143738": 142, "4729139804840088": 142, "472947895526886": 142, "4729521870613098": 142, "4729916453361511": 142, "473": [132, 142, 157], "4730": 142, "4730067849159241": 142, "47300785779953003": 142, "4730367064476013": 142, "4731166958808899": 142, "473118782043457": 142, "47320371866226196": 142, "47321587800979614": 142, "473243713378906": 142, "4733116626739502": 142, "4733319282531738": 142, "473334312438965": 142, "4733579754829407": 142, "47341734170913696": 142, "473436": 154, "4734361171722412": 142, "47348541021347046": 142, "4735490679740906": 142, "47356921434402466": 142, "4735784530639648": 142, "47358113527297974": 142, "47360676527023315": 142, "4736719131469727": 142, "4737088084220886": 142, "4737246632575989": 142, "47373872995376587": 142, "4737720489501953": 142, "4737930297851562": 142, "47380250692367554": 142, "4738207459449768": 142, "4738538265228271": 142, "4738866686820984": 142, "473944664001465": 142, "473946750164032": 142, "4739745259284973": 142, "473f": 142, "4740073084831238": 142, "47402307391166687": 142, "47402817010879517": 142, "4740472435951233": 142, "4742056727409363": 142, "474261": 154, "474278450012207": 142, "4743015170097351": 142, "4743609428405762": 142, "47436267137527466": 142, "4743859767913818": 142, "4744": 142, "4744001030921936": 142, "47440844774246216": 142, "47446870803833": 142, "47455090284347534": 142, "4746130108833313": 142, "4746273159980774": 142, "474651336669922": 142, "474654197692871": 142, "4746745228767395": 142, "47471284866333": 142, "4747517108917236": 142, "4747611880302429": 142, "4747757315635681": 142, "4747839570045471": 142, "474809646606445": 142, "4748139381408691": 142, "4748230576515198": 142, "4748538136482239": 142, "47487211227417": 142, "4748859405517578": 142, "474900722503662": 142, "4749218225479126": 142, "4749259352684021": 142, "474994": 154, "474kb": 134, "4750337600708008": 142, "4750587940216064": 142, "47509080171585083": 142, "47511738538742065": 142, "47513753175735474": 142, "475205421447754": 142, "4752102494239807": 142, "4752154350280762": 142, "4752452373504639": 142, "47527164220809937": 142, "4754074215888977": 142, "4754921793937683": 142, "4755": 142, "4755156636238098": 142, "4755277633667": 142, "4755291938781738": 142, "475599765777588": 142, "4755e": 147, "4756": 142, "475605309009552": 142, "47560781240463257": 142, "4756394028663635": 142, "47565680742263794": 142, "47570115327835083": 142, "475719690322876": 142, "4757273197174072": 142, "47573199c545afe46c554ff756c3e38f": 129, "4757416844367981": 142, "4757664203643799": 142, "4757714867591858": 142, "4757757782936096": 142, "47584205865859985": 142, "4758946895599365": 142, "4759675860404968": 142, "475kb": 134, "4760363101959229": 142, "4760693907737732": 142, "4761064052581787": 142, "47611337900161743": 142, "476126492023468": 142, "4761285781860352": 142, "47617894411087036": 142, "4761810898780823": 142, "47618216276168823": 142, "4762": 142, "4762285351753235": 142, "4762306809425354": 142, "4762310981750488": 142, "4762697219848633": 142, "4763": 142, "4764302372932434": 142, "4764365553855896": 142, "4764635562896729": 142, "476469039916992": 142, "476506769657135": 142, "4765191674232483": 142, "476606369018555": 142, "4766455292701721": 142, "4766626358032227": 142, "4767072200775146": 142, "4767870306968689": 142, "4768478870391846": 142, "4769297242164612": 142, "47694796323776245": 142, "476949691772461": 142, "4769657254219055": 142, "4769761562347412": 142, "476g": 131, "47701817750930786": 142, "47707122564315796": 142, "4771": 142, "4771116375923157": 142, "4771425127983093": 142, "4771873950958252": 142, "47722496": 158, "47729653120040894": 142, "47730058431625366": 142, "477329254150391": 142, "4773326516151428": 142, "4773513078689575": 142, "477354049682617": 142, "47737640142440796": 142, "4773903489112854": 142, "4774584174156189": 142, "4775183200836182": 142, "47753649950027466": 142, "477568626403809": 142, "4776943325996399": 142, "4777038097381592": 142, "4777607917785645": 142, "477767": 154, "47778576612472534": 142, "4777e": 147, "47781914472579956": 142, "4778425097465515": 142, "4778554439544678": 142, "4778922200202942": 142, "4779040813446045": 142, "47793048620224": 142, "47793227434158325": 142, "477kb": 134, "478": 134, "4780604839324951": 142, "478075981140137": 142, "4780821204185486": 142, "4780948162078857": 142, "478131294250488": 142, "478171169757843": 142, "4782645106315613": 142, "4782828688621521": 142, "4782967567443848": 142, "47831517457962036": 142, "4784284234046936": 142, "4784890413284302": 142, "478499": 154, "47851890325546265": 142, "4786453247070312": 142, "4786568284034729": 142, "47868233919143677": 142, "4787325859069824": 142, "47874051332473755": 142, "4787521958351135": 142, "478771686553955": 142, "4790114760398865": 142, "4790192246437073": 142, "47903627157211304": 142, "479062080383301": 142, "4791349768638611": 142, "4791500568389893": 142, "4791625142097473": 142, "4792030453681946": 142, "4792317748069763": 142, "47923654317855835": 142, "47934526205062866": 142, "47936755418777466": 142, "4793989658355713": 142, "4794995784759521": 142, "479552268981934": 142, "4796150326728821": 142, "479619979858398": 142, "4796302318572998": 142, "47967320680618286": 142, "47977274656295776": 142, "4797825813293457": 142, "47981923818588257": 142, "479835": 154, "47984522581100464": 142, "479846954345703": 142, "4798535704612732": 142, "4798650741577148": 142, "47991943359375": 142, "4799569249153137": 142, "4799957871437073": 142, "47e": 147, "47it": 147, "47m": 134, "48": [134, 142, 145, 147, 149, 153, 154], "480": [134, 147], "4800": 142, "480047225952148": 142, "48006194829940796": 142, "4800665378570557": 142, "4800806045532227": 142, "4801279902458191": 142, "4801487326622009": 142, "48015016317367554": 142, "4801554679870605": 142, "4802146553993225": 142, "4802453517913818": 142, "480334": 154, "4804394245147705": 142, "4804677367210388": 142, "4805552959442139": 142, "48063141107559204": 142, "4806444644927979": 142, "480664253234863": 142, "48068517446517944": 142, "48069673776626587": 142, "4807963371276855": 142, "48082977533340454": 142, "4808947443962097": 142, "4809": [142, 154], "4809033274650574": 142, "480912208557129": 142, "48093217611312866": 142, "480949878692627": 142, "4809656143188477": 142, "48097309470176697": 142, "4809800982475281": 142, "481": 142, "4810776114463806": 142, "4810848236083984": 142, "481109082698822": 142, "48111122846603394": 142, "4812154173851013": 142, "4812462329864502": 142, "481294631958008": 142, "4813": 142, "4813012480735779": 142, "481330": [147, 149], "4813510775566101": 142, "4813904762268066": 142, "4814322590827942": 142, "48148399591445923": 142, "4815032482147217": 142, "48155277967453003": 142, "481581211090088": 142, "48159724473953247": 142, "4816420078277588": 142, "48164552450180054": 142, "4817093014717102": 142, "4817137718200684": 142, "481733798980713": 142, "4817781448364258": 142, "481860399246216": 142, "481932": 154, "48195022344589233": 142, "48198026418685913": 142, "48200398683547974": 142, "4820992946624756": 142, "4821770191192627": 142, "4822": 142, "4822099804878235": 142, "4822449684143066": 142, "48228007555007935": 142, "4822a06f6c5f41bdefd3cbbd8856c11f": 129, "4823179841041565": 142, "482353687286377": 142, "4824": 142, "4824469089508057": 142, "4824483394622803": 142, "48247116804122925": 142, "48268359899520874": 142, "48268717527389526": 142, "4826924204826355": 142, "48271578550338745": 142, "48272305727005005": 142, "482735633850098": 142, "482757806777954": 142, "482785701751709": 142, "48279094696045": 142, "4828": 142, "48286622762680054": 142, "4828808903694153": 142, "4829140305519104": 142, "482ee306a5ae2eee78cac40d10059ebc": 129, "482kb": 134, "483": [132, 139], "48307496309280396": 142, "48309844732284546": 142, "483116090297699": 142, "4831579327583313": 142, "4831644892692566": 142, "4831793308258057": 142, "48319095373153687": 142, "483259201049805": 142, "4833838939666748": 142, "483392": 154, "4833943843841553": 142, "4833991527557373": 142, "483417272567749": 142, "483452558517456": 142, "4834575653076172": 142, "4835522770881653": 142, "48363548517227173": 142, "48365849256515503": 142, "483670175075531": 142, "483688354492188": 142, "4837067723274231": 142, "483712911605835": 142, "4838099479675293": 142, "4838342070579529": 142, "4838513731956482": 142, "4838624000549316": 142, "483894407749176": 142, "483926": 154, "483kb": 134, "484": 142, "4840": 142, "48400217294692993": 142, "48410993814468384": 142, "484130": 154, "4841514229774475": 142, "484161913394928": 142, "4841651916503906": 142, "4841659665107727": 142, "4842": 142, "4842543601989746": 142, "48439401388168335": 142, "484418869018555": 142, "484457015991211": 142, "4844584465026855": 142, "4846": 142, "4846370816230774": 142, "4846415519714355": 142, "48465895652771": 142, "4846957325935364": 142, "4847046732902527": 142, "484710693359375": 142, "48473280668258667": 142, "4847363233566284": 142, "4847378134727478": 142, "4848008155822754": 142, "48486000299453735": 142, "4848635792732239": 142, "484913170337677": 142, "484976768493652": 142, "4849773049354553": 142, "484kb": 134, "485": 142, "48501497507095337": 142, "4850246906280518": 142, "4850430488586426": 142, "48507457971572876": 142, "4851815700531006": 142, "4852": 142, "485212326049805": 142, "4852466583251953": 142, "4852876663208008": 142, "485434": [147, 149], "4854509830474854": 142, "48547786474227905": 142, "48549240827560425": 142, "4855101108551025": 142, "48551350831985474": 142, "4855261445045471": 142, "4855327010154724": 142, "48553842306137085": 142, "4855671525001526": 142, "4855804443359375": 142, "485671997070312": 142, "485734224319458": 142, "4857538342475891": 142, "4857829213142395": 142, "4858462810516357": 142, "48584920167922974": 142, "485867023468018": 142, "48589199781417847": 142, "485901415348053": 142, "486": [142, 147], "486072838306427": 142, "4861": 142, "4861254096031189": 142, "486310958862305": 142, "48637741804122925": 142, "4864116311073303": 142, "486472": 154, "48649126291275024": 142, "4865782856941223": 142, "486620903015137": 142, "48666000366211": 142, "4866752624511719": 142, "48669272661209106": 142, "4866933822631836": 142, "4867973327636719": 142, "48683708906173706": 142, "4868442416191101": 142, "48684507608413696": 142, "4868721961975098": 142, "4868789315223694": 142, "48689597845077515": 142, "48693162202835083": 142, "4869427680969238": 142, "4869468212127686": 142, "486kb": 134, "487": 142, "4870171546936035": 142, "4870193600654602": 142, "487045": 154, "4870758056640625": 142, "48709553480148315": 142, "48717212677002": 142, "48723822832107544": 142, "48727113008499146": 142, "48733919858932495": 142, "4873395562171936": 142, "48735523223877": 142, "487385": 154, "4875081181526184": 142, "4876": 142, "487602710723877": 142, "4877047538757324": 142, "487743377685547": 142, "48776620626449585": 142, "4878": 142, "4878574013710022": 142, "48792141675949097": 142, "4879222512245178": 142, "4879327416419983": 142, "487990379333496": 142, "487kb": 134, "488": 142, "488015353679657": 142, "4880402088165283": 142, "48810046911239624": 142, "48811811208724976": 142, "488159716129303": 142, "4882813692092896": 142, "4883379340171814": 142, "4883609414100647": 142, "4883653521537781": 142, "48845142126083374": 142, "48845261335372925": 142, "488522": 154, "4885399341583252": 142, "4886229634284973": 142, "4886548519134521": 142, "4886637330055237": 142, "48877a0c6f2994baac82cb722711aaa2": 129, "4887971878051758": 142, "4888022541999817": 142, "4888458251953125": 142, "488877": 154, "4889": [142, 154], "48892730474472046": 142, "4889581203460693": 142, "488kb": 134, "489": 142, "48901575803756714": 142, "489051818847656": 142, "4890591502189636": 142, "4890775680542": 142, "489089012145996": 142, "4891133308410645": 142, "4891602396965027": 142, "4891626834869385": 142, "4892069697380066": 142, "4892075061798096": 142, "4892115592956543": 142, "4892940521240234": 142, "489301681518555": 142, "4893572926521301": 142, "4893656373023987": 142, "4894092082977295": 142, "4895102381706238": 142, "4895427227020264": 142, "4895e": 147, "48964589834213257": 142, "4896753430366516": 142, "4896936416625977": 142, "4897": 142, "489709854125977": 142, "48977547883987427": 142, "48978835344314575": 142, "4898146986961365": 142, "4898877143859863": 142, "4899": 142, "4899246096611023": 142, "48e": 147, "48it": [138, 147], "48m": 134, "48mb": 134, "49": [134, 142, 145, 147, 148, 149, 154, 157], "490": 147, "4900145530700684": 142, "4900525212287903": 142, "4900555610656738": 142, "4900696277618408": 142, "4900803565979004": 142, "4901270270347595": 142, "4901456832885742": 142, "4901924133300781": 142, "4903011918067932": 142, "4903162121772766": 142, "4903410077095032": 142, "49035245180130005": 142, "4903784394264221": 142, "4903786778450012": 142, "4904637932777405": 142, "4905178546905518": 142, "490525": 154, "4907": 142, "490731954574585": 142, "4907355308532715": 142, "490771770477295": 142, "4908": 142, "4908120036125183": 142, "4908232092857361": 142, "4908778667449951": 142, "4909": 142, "4909057021141052": 142, "49093884229660034": 142, "49095219373703003": 142, "4910566806793213": 142, "4911117553710938": 142, "491119": 154, "4911283254623413": 142, "4912448525428772": 142, "4912557005882263": 142, "4912779927253723": 142, "49128395318984985": 142, "4913182854652405": 142, "4913372993469238": 142, "4913570880889893": 142, "491440773010254": 142, "49148184061050415": 142, "4915013909339905": 142, "49154359102249146": 142, "49158769845962524": 142, "491589546203613": 142, "491639256477356": 142, "4917": 154, "491752624511719": 142, "491820": 154, "491923": 154, "4919312000274658": 142, "4919537901878357": 142, "491994": 154, "492": 142, "4920103549957275": 142, "4920706748962402": 142, "4921140670776367": 142, "4922": 142, "492203": 154, "492246": 154, "49224764108657837": 142, "4922497272491455": 142, "49227994680404663": 142, "4922807812690735": 142, "492289543151855": 142, "4922935366630554": 142, "4923": 154, "49239736795425415": 142, "4924161434173584": 142, "4924473166465759": 142, "4924526810646057": 142, "49258261919021606": 142, "4926230907440186": 142, "492684364318848": 142, "4926918148994446": 142, "492730140686035": 142, "4927387237548828": 142, "4927486777305603": 142, "49275845289230347": 142, "4928160309791565": 142, "4928264021873474": 142, "4928620457649231": 142, "4928664565086365": 142, "4929": 147, "4929199814796448": 142, "492kb": 134, "493": 154, "493030": 154, "4930412769317627": 142, "493056297302246": 142, "493093490600586": 142, "4931640625": 142, "49326425790786743": 142, "493278": 154, "4932851791381836": 142, "493315": 154, "493316": 154, "493323": 154, "493338406085968": 142, "493353": 154, "4934842586517334": 142, "4935424327850342": 142, "4935519695281982": 142, "493604838848114": 142, "49360793828964233": 142, "49360984563827515": 142, "493636131286621": 142, "4936583042144775": 142, "493738174438477": 142, "4937412738800049": 142, "49375343322754": 142, "493777334690094": 142, "4938113689422607": 142, "493814468383789": 142, "4938488006591797": 142, "49391013383865356": 142, "4939188957214355": 142, "493921": 154, "4939337372779846": 142, "49393969774246216": 142, "493kb": 134, "494": [34, 142], "494112": 154, "49417370557785034": 142, "4942377209663391": 142, "494269371032715": 142, "49426978826522827": 142, "494274": 154, "4942758083343506": 142, "4943007826805115": 142, "4944148659706116": 142, "4944322109222412": 142, "49456697702407837": 142, "49460870027542114": 142, "4946449398994446": 142, "49466413259506226": 142, "49479132890701294": 142, "494828": 154, "4948468208312988": 142, "494917869567871": 142, "494939": 154, "4949497580528259": 142, "4949665665626526": 142, "4950096011161804": 142, "495016": 154, "49510383605957": 142, "49512940645217896": 142, "49515992403030396": 142, "4951e": 147, "49520343542099": 142, "49521833658218384": 142, "4952753186225891": 142, "4952921867370605": 142, "4953": 142, "4953151345252991": 142, "495382": 154, "495407104492188": 142, "495412": 154, "4955": 142, "49568599462509155": 142, "4957008957862854": 142, "4957067966461182": 142, "4957311749458313": 142, "4957399368286133": 142, "49574965238571167": 142, "495823621749878": 142, "4958240985870361": 142, "49583667516708374": 142, "49594277143478394": 142, "495973": 154, "4959900975227356": 142, "495kb": 134, "496": [132, 134, 142, 157], "496002435684204": 142, "4960569739341736": 142, "4961180686950684": 142, "4962": 142, "4962230324745178": 142, "496334969997406": 142, "4963905811309814": 142, "4964": 142, "496435": 154, "49643856287002563": 142, "4964657425880432": 142, "4965591430664062": 142, "496560": 154, "4966545104980469": 142, "496709406375885": 142, "4967873692512512": 142, "49683648347854614": 142, "496848": 154, "4968719482421875": 142, "496906042098999": 142, "4969794750213623": 142, "496992": 154, "497": 147, "4971087574958801": 142, "4971136450767517": 142, "4971418380737305": 142, "49721330404281616": 142, "4972136616706848": 142, "4972960948944092": 142, "49734145402908325": 142, "49736565351486206": 142, "497387": 154, "497451": 154, "4974523186683655": 142, "4974555969238281": 142, "497478485107422": 142, "4975": 154, "49752140045166": 142, "4975528120994568": 142, "4975661635398865": 142, "4975743293762207": 142, "497575": [147, 149], "4976658225059509": 142, "497672": 154, "497697": 154, "4976997375488281": 142, "497708797454834": 142, "49771660566329956": 142, "4977412819862366": 142, "49774593114852905": 142, "4977491497993469": 142, "4977582097053528": 142, "4978": 142, "4979": 142, "49797576665878296": 142, "498": 147, "498009": 154, "49808000e": [147, 149], "49809545278549194": 142, "4980e": 147, "49812227487564087": 142, "4981658458709717": 142, "4981703758239746": 142, "4982240200042725": 142, "4982380270957947": 142, "4983125329017639": 142, "498331069946289": 142, "4984004497528076": 142, "4984017014503479": 142, "4984488487243652": 142, "4984521865844727": 142, "498501": 154, "4985456466674805": 142, "498566150665283": 142, "4986104369163513": 142, "4986414909362793": 142, "4987034797668457": 142, "49875062704086304": 142, "4987637400627136": 142, "4987805485725403": 142, "4988": 142, "49886542558670044": 142, "49886882305145264": 142, "4988784193992615": 142, "4989": 142, "498971": 147, "498kb": 134, "4990": 142, "49908334016799927": 142, "499092161655426": 142, "4991004467010498": 142, "4991703033447266": 142, "4991724491119385": 142, "499299": 154, "4993048310279846": 142, "49937105178833": 142, "4995388388633728": 142, "49955177307129": 142, "4995989203453064": 142, "49963468313217163": 142, "4996702671051025": 142, "4997": 142, "4997000694274902": 142, "499702453613281": 142, "4997062683105469": 142, "499728": 154, "4997e": 147, "4998529553413391": 142, "49987488985061646": 142, "49989765882492065": 142, "49995988607406616": 142, "49e": 147, "49it": [138, 147], "49m": 134, "49mb": 134, "4ce9": 142, "4d86": 142, "4ddcccd62a834a76fe6167461f512529": 129, "4dfab479495f76179749c1956046fbd8": 129, "4g": 129, "4it": 134, "4m": 147, "4x4": 153, "5": [31, 32, 33, 34, 36, 37, 38, 40, 44, 58, 64, 66, 71, 77, 79, 85, 89, 92, 94, 98, 99, 103, 104, 106, 107, 112, 116, 117, 129, 131, 132, 133, 134, 139, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "50": [9, 17, 54, 55, 67, 68, 80, 81, 89, 92, 97, 98, 100, 104, 107, 132, 134, 138, 141, 142, 147, 148, 149, 151, 154, 157, 158], "500": [36, 38, 142], "5000": 147, "5000200867652893": 142, "5000752806663513": 142, "5001378655433655": 142, "5001659989356995": 142, "500198364257812": 142, "5001e": 148, "5002": [147, 149], "5002041459083557": 142, "5002842545509338": 142, "5003053545951843": 142, "50031566619873": 142, "5003215670585632": 142, "500329971313477": 142, "5003408789634705": 142, "5004386901855469": 142, "5004672408103943": 142, "5004940032959": 142, "5005528330802917": 142, "5005619525909424": 142, "5005786418914795": 142, "5005884170532227": 142, "50059175491333": 142, "5006470680236816": 142, "5006926655769348": 142, "5007295608520508": 142, "5007531642913818": 142, "500829": 154, "5009355545043945": 142, "500958442687988": 142, "500kb": 134, "501": 142, "5010345578193665": 142, "5010464787483215": 142, "5010466575622559": 142, "501051664352417": 142, "5010715126991272": 142, "5011568665504456": 142, "5011604428291321": 142, "501166820526123": 142, "5011712908744812": 142, "501202940940857": 142, "5012708306312561": 142, "5013699531555176": 142, "5013781785964966": 142, "5014": 142, "5014063715934753": 142, "5015415549278259": 142, "501669": 154, "5017775893211365": 142, "501850605010986": 142, "5018767714500427": 142, "50188148021698": 142, "501936674118042": 142, "5019860863685608": 142, "501kb": 134, "502": [132, 142], "502047061920166": 142, "5020735859870911": 142, "5020785927772522": 142, "5020947456359863": 142, "502124309539795": 142, "5021374821662903": 142, "5021716952323914": 142, "5021963119506836": 142, "5023588538169861": 142, "5024213194847107": 142, "5024301409721375": 142, "5024670958518982": 142, "502486": 154, "502500295639038": 142, "5025141835212708": 142, "502638041973114": 142, "5026655197143555": 142, "5027135014533997": 142, "5028231143951416": 142, "5028296113014221": 142, "5028311610221863": 142, "502838": 154, "5029762387275696": 142, "5029997825622559": 142, "502kb": 134, "503": 134, "5030074715614319": 142, "50307035446167": 142, "5030816197395325": 142, "5031": 142, "5031485557556152": 142, "5032646656036377": 142, "5032698512077332": 142, "5032762885093689": 142, "5033203959465027": 142, "5033226013183594": 142, "50333595275879": 142, "503489": 154, "5035371780395508": 142, "5036356449127197": 142, "503652": 147, "5036874413490295": 142, "5037012696266174": 142, "503730058670044": 142, "5037363171577454": 142, "5037397742271423": 142, "5037948489189148": 142, "5038": 142, "5038250088691711": 142, "503831148147583": 142, "5038557052612305": 142, "503903": [147, 149], "5039125084877014": 142, "503937721252441": 142, "503kb": 134, "504": 142, "5040002465248108": 142, "5040953755378723": 142, "5040968060493469": 142, "504169225692749": 142, "5042": 142, "5042862296104431": 142, "504371166229248": 142, "504425": 142, "504460871219635": 142, "504482": 142, "5044944286346436": 142, "504498": 142, "5045": 142, "504502": 142, "504536": 142, "5045397281646729": 142, "5045583844184875": 142, "5045604109764099": 142, "504564": 142, "504587": 142, "5046043395996094": 142, "504625": 142, "504630": 142, "5046343803405762": 142, "504659": 142, "5046899318695068": 142, "5047032833099365": 142, "504708": 142, "504741": 142, "504753": 142, "5047614574432373": 142, "504772": 142, "504791": 154, "5047987103462219": 142, "5048009753227234": 142, "504812": 142, "504814": 142, "504815": 142, "5048248171806335": 142, "504825": 142, "504835": 142, "504838": 142, "504884": 142, "504898": 142, "504909": 142, "504928": 142, "504941": 142, "504951": 142, "504952": 142, "504957": 142, "504965": 154, "504968": 142, "505002": 142, "5050023198127747": 142, "505007743835449": 142, "505016": 142, "505034": 142, "505071": 142, "5050833225250244": 142, "5051137804985046": 142, "5051445364952087": 142, "505149": 142, "505164": 142, "505198": 142, "505206": 142, "505278": 142, "505297": 142, "5053117871284485": 142, "505333": 142, "505341": 142, "505351": 142, "5053531527519226": 142, "5053587555885315": 142, "5053616166114807": 142, "505363": 142, "505412": 142, "505443": 142, "5054444670677185": 142, "505447": 154, "505451": 142, "505467": 142, "505495": 142, "5055": 142, "5055057406425476": 142, "505510": 142, "505511": 142, "505515": 142, "505522": 142, "505527": 142, "505528": 142, "505531": 142, "505540": 142, "505541": 142, "5055489540100098": 142, "505554": 142, "505571": 142, "505572": 142, "505598": 142, "5056": 142, "505622": 142, "505626": 142, "505628": 142, "505632": 142, "505633": 142, "505634": 142, "5057461261749268": 142, "505759": 142, "505780": 142, "505781": 142, "5057833194732666": 142, "505803": 142, "505804": 142, "505812644958496": 142, "505820": 142, "505822": 142, "5058910846710205": 142, "5058920979499817": 142, "5058929920196533": 142, "5059556365013123": 142, "505kb": 134, "506090": 154, "5061388611793518": 142, "5061543583869934": 142, "5061604380607605": 142, "5061872005462646": 142, "50627326965332": 142, "5063026547431946": 142, "5063124299049377": 142, "5063229203224182": 142, "5063446164131165": 142, "5063548684120178": 142, "5063588619232178": 142, "5064761638641357": 142, "5064833164215088": 142, "5065106749534607": 142, "5065168738365173": 142, "5065214037895203": 142, "5065631866455078": 142, "5065943598747253": 142, "506657063961029": 142, "5067431926727295": 142, "5069665908813477": 142, "507": 142, "5070038437843323": 142, "5070307850837708": 142, "507045": 154, "507074": 154, "507075548171997": 142, "5071661472320557": 142, "5071682333946228": 142, "5071852207183838": 142, "507246": 154, "5072588324546814": 142, "5073400139808655": 142, "50751495361328": 142, "507528": 151, "5075724124908447": 142, "5076435414262623": 132, "5076660513877869": 142, "5076713562011719": 142, "5077025890350342": 142, "5077759623527527": 142, "5077854990959167": 142, "5078012943267822": 142, "5078275203704834": 142, "5078622698783875": 142, "5078e": 147, "5079129338264465": 142, "5079349875450134": 142, "507967": [147, 149], "5079683661460876": 142, "5080379843711853": 142, "5080450177192688": 142, "508046": 154, "5080881118774414": 142, "5081233978271484": 142, "5081872344017029": 142, "5081e": 147, "5082046389579773": 142, "5082159042358398": 142, "5082297325134277": 142, "5082783699035645": 142, "5085089206695557": 142, "5085328221321106": 142, "5085752606391907": 142, "5086722373962402": 142, "5087546706199646": 142, "5087726712226868": 142, "508784830570221": 142, "508787155151367": 142, "508881": 154, "508976697921753": 142, "50899076461792": 142, "5089980959892273": 142, "508kb": 134, "509": [138, 147], "5090": 142, "5090295672416687": 142, "5091305375099182": 142, "5091478824615479": 142, "5092090964317322": 142, "5092465281486511": 142, "5093321204185486": 142, "5093575119972229": 142, "5093699097633362": 142, "5094": 142, "5094069838523865": 142, "5094200968742371": 142, "50952911376953": 142, "5095437169075012": 142, "5095958709716797": 142, "5096321105957031": 142, "5096361041069031": 142, "509831": 154, "509kb": 134, "50a6ff098f9ba7adbba9ac115726cc5a": 129, "50e": 147, "50it": 147, "50m": 134, "51": [134, 138, 142, 147, 149, 154, 157], "510001": 142, "510032": 142, "510040": 142, "510041": 142, "510052": 142, "510086": 142, "5100883841514587": 142, "510099": 142, "5100e": 147, "510133": 142, "510139524936676": 142, "5101444721221924": 142, "5102044939994812": 142, "510209": 142, "510219": 142, "510268": 142, "510282": 154, "510283": 142, "510285": 142, "5102874636650085": 142, "5102953314781189": 142, "510321": 142, "5103583335876465": 142, "510380": 142, "510409": 142, "510412": 142, "5104174017906189": 142, "510417938232422": 142, "510422": 142, "510426": 142, "510437": 142, "510441": 142, "510445": 142, "5104557871818542": 142, "510458": 142, "5104613304138184": 142, "510484": 142, "510521": 142, "510522": 142, "510538": 154, "510548": 142, "510557": 142, "510619": 142, "5106384754180908": 142, "5106456279754639": 142, "510691": 142, "510696": 142, "5107056498527527": 142, "5107359290122986": 142, "5108173489570618": 142, "5108305811882019": 142, "5108652710914612": 142, "5109": 142, "510918378829956": 142, "5109466910362244": 142, "5109564661979675": 142, "5110549330711365": 142, "5110611319541931": 142, "511074960231781": 142, "511087417602539": 142, "5110890865325928": 142, "5111815333366394": 142, "5112370848655701": 142, "511240": [147, 149], "5113500952720642": 142, "511376": 154, "5115137696266174": 142, "5115151405334473": 142, "51154989": [66, 79, 94, 99], "5117238163948059": 142, "5117367506027222": 142, "51176224e": 134, "511801": 151, "5118260979652405": 142, "5118863582611084": 142, "5118882656097412": 142, "5119078159332275": 142, "511932373046875": 142, "5119753479957581": 142, "512": [36, 38, 97, 98, 132, 134, 147, 157], "5120": [147, 149], "512005090713501": 142, "5120493769645691": 142, "512054": 154, "5120552182197571": 142, "5121": 147, "5121386647224426": 142, "512151": 154, "51216721534729": 142, "5122": 142, "5122291445732117": 142, "5122786164283752": 142, "5122873187065125": 142, "512296676635742": 142, "512332": 154, "5123607516288757": 142, "5123639106750488": 142, "512371063232422": 142, "5124": 142, "5124096870422363": 142, "5124107003211975": 142, "5124810338020325": 142, "5124891400337219": 142, "5124962329864502": 142, "5125": 142, "512521505355835": 142, "5125922560691833": 142, "512621879577637": 142, "5129": 142, "5129533410072327": 142, "5129987597465515": 142, "512kb": 134, "5130512714385986": 142, "5130518078804016": 142, "5130594372749329": 142, "5131": 142, "5132021307945251": 142, "5132193565368652": 142, "5132420063018799": 142, "5132474899291992": 142, "5132594704627991": 142, "513281": 154, "513282299041748": 142, "5133586525917053": 142, "5133928656578064": 142, "5133988261222839": 142, "5134174227714539": 142, "5134187340736389": 142, "513421": 151, "5134291052818298": 142, "5134294033050537": 142, "5134779810905457": 142, "5134806632995605": 142, "5134833455085754": 142, "513484239578247": 142, "5135859847068787": 142, "5136339664459229": 142, "5137": 142, "513702154159546": 142, "5137414336204529": 142, "5138019919395447": 142, "513978123664856": 142, "513kb": 134, "514": 142, "5140107274055481": 142, "5140533447265625": 142, "5140703320503235": 142, "514089584350586": 142, "514093": 154, "514155": 154, "5141612887382507": 142, "514182984828949": 142, "5141850113868713": 142, "5142": 142, "5142147541046143": 142, "5143392086029053": 142, "5143957138061523": 142, "5144110918045044": 142, "5144442915916443": 142, "514482": 151, "5145": 142, "5145516991615295": 142, "5145710e": 133, "5145741105079651": 142, "514611721038818": 142, "5146955847740173": 142, "5147858262062073": 142, "5148253440856934": 142, "5148904919624329": 142, "5148e": 147, "5149": 142, "515061855316162": 142, "5151": 142, "5151049494743347": 142, "5151539444923401": 142, "5151771903038025": 142, "515205": 151, "5152638554573059": 142, "515272855758667": 142, "515275776386261": 142, "5153298377990723": 142, "5153669714927673": 142, "5153897404670715": 142, "5154122855067715": 142, "515412285506772": 142, "515412330627441": 142, "5154132843017578": 142, "515422": 151, "515424": [147, 149], "5154997706413269": 142, "5155536532402039": 142, "5156072974205017": 142, "5156329274177551": 142, "5156444102461508": 147, "5156590938568115": 142, "5156617164611816": 142, "5157": 142, "5157387852668762": 142, "5157670974731445": 142, "5158476829528809": 142, "515857994556427": 142, "5158748626708984": 142, "5159173607826233": 142, "5159501433372498": 142, "515kb": 134, "516": 147, "5160086750984192": 142, "5160240530967712": 142, "516038": 154, "5160402655601501": 142, "5160636305809021": 142, "5160713195800781": 142, "516145": 154, "5161556601524353": 142, "5161824822425842": 142, "5161828994750977": 142, "5162138342857361": 142, "5162833333015442": 142, "516304075717926": 142, "5163697600364685": 142, "5164012908935547": 142, "5164232850074768": 142, "516484498977661": 142, "5165064334869385": 142, "5165422558784485": 142, "5165627598762512": 142, "5166": 142, "516600": 154, "516668": 154, "516673": [147, 149], "516674518585205": 142, "5167210698127747": 142, "516747": 154, "5167686939239502": 142, "5168": 142, "5168e": 147, "5169401168823242": 142, "516kb": 134, "517": 142, "517112": 151, "517198383808136": 142, "5172": 153, "5172587037086487": 142, "5172724723815918": 142, "5172860622406006": 142, "5173270106315613": 142, "5173283219337463": 142, "5173673629760742": 142, "5173818469047546": 142, "5174": 147, "5174444317817688": 142, "5174588561058044": 142, "5175230503082275": 142, "517530918121338": 142, "517546": 154, "517571747303009": 142, "517632246017456": 142, "5176340937614441": 142, "5176880955696106": 142, "517730523269954": 142, "517730712890625": 142, "5177741050720215": 142, "5178": 142, "5178150534629822": 142, "5178539156913757": 142, "5178734660148621": 142, "5178831219673157": 142, "517905": 154, "517kb": 134, "518": [132, 142, 157], "5180721282958984": 142, "5181111693382263": 142, "5181148052215576": 142, "5181167721748352": 142, "5181826949119568": 142, "5182264447212219": 142, "5183043479919434": 142, "5184805393218994": 142, "5185031294822693": 142, "5185200572013855": 142, "5186": 142, "518619954586029": 142, "5186635851860046": 142, "518681": 154, "5186930298805237": 142, "5187132954597473": 142, "5187973976135254": 142, "5188619494438171": 142, "5188801288604736": 142, "5189063549041748": 142, "5189122557640076": 142, "5189152359962463": 142, "5189982056617737": 142, "518kb": 134, "5190": 142, "5190808773040771": 142, "5191261172294617": 142, "5191373229026794": 142, "5191826224327087": 142, "519229": [147, 149], "5192861557006836": 142, "519289493560791": 142, "5193": 142, "5193015933036804": 142, "5193124413490295": 142, "5193653106689453": 142, "5193739533424377": 142, "5193812251091003": 142, "5194125771522522": 142, "519463062286377": 142, "5194809436798096": 142, "5195526480674744": 142, "5195813775062561": 142, "519659996032715": 142, "5197215676307678": 142, "5197343826293945": 142, "5197812914848328": 142, "519786536693573": 142, "5198140740394592": 142, "5199357867240906": 142, "5199726223945618": 142, "519kb": 134, "51e": 147, "51f7f05982d6b4052becc160375a8b8b670177a7": 132, "51m": 134, "52": [132, 134, 142, 147, 149, 154, 157], "520": 132, "520089864730835": 142, "5201860070228577": 142, "520289": 154, "5202937722206116": 142, "5204243063926697": 142, "5204551219940186": 142, "5204682946205139": 142, "520512044429779": 142, "5205354690551758": 142, "5205466747283936": 142, "52059441e": 134, "52059479e": 134, "520673751831055": 142, "5207271575927734": 142, "520775": 154, "5208814740180969": 142, "5209078788757324": 142, "5209148526191711": 142, "5209209322929382": 142, "5209481120109558": 142, "5209587216377258": 142, "520kb": 134, "521": 134, "5210480093955994": 142, "5210514664649963": 142, "5211382508277893": 142, "521158": 154, "5211970806121826": 142, "5212585926055908": 142, "5213": [142, 154], "5213248133659363": 142, "521354615688324": 142, "5213604860473424e": 142, "5214133262634277": 142, "5214307904243469": 142, "521441": 154, "5214758515357971": 142, "5214847922325134": 142, "5215246677398682": 142, "5215346813201904": 142, "5215792655944824": 142, "5217387080192566": 142, "5217772126197815": 142, "5217971205711365": 142, "5218391418457031": 142, "5218431949615479": 142, "521902": 154, "5219626426696777": 142, "5219940543174744": 142, "521kb": 134, "522": 142, "5220237374305725": 142, "5220252871513367": 142, "5220515131950378": 142, "522068": 154, "5220884680747986": 142, "5221": 142, "5221239924430847": 142, "522132933139801": 142, "5221357345581055": 142, "5221372246742249": 142, "5221e": 148, "522202": 154, "5222344398498535": 142, "522305965423584": 142, "5223107933998108": 142, "522444": 154, "522473156452179": 142, "5225134491920471": 142, "522530": 154, "522556722164154": 142, "522567": 154, "522692": 154, "522710": 154, "522737741470337": 142, "5227525234222412": 142, "522754": 154, "522767961025238": 142, "5228": 144, "5228100419044495": 142, "522875": 154, "522889": 154, "522892415523529": 142, "5229146480560303": 142, "5229384303092957": 142, "523": 142, "5230184197425842": 142, "5231195092201233": 142, "5231452584266663": 142, "5231773853302002": 142, "523191": 154, "5231965184211731": 142, "5231980681419373": 142, "5231997966766357": 142, "52326011657715": 142, "523279190063477": 142, "5233189463615417": 142, "5233201384544373": 142, "5233621001243591": 142, "5234": 147, "5234399437904358": 142, "5236408114433289": 142, "5236530900001526": 142, "5236613154411316": 142, "523744": 154, "523755": 154, "5238": 142, "5238073468208313": 142, "523863": [147, 149], "523866891860962": 142, "5238804817199707": 142, "5239927768707275": 142, "524": 154, "5240296125411987": 142, "5240418910980225": 142, "524056": 154, "524070": 154, "5240890979766846": 142, "5241": [147, 149], "5241898894309998": 142, "5242581963539124": 142, "5242728590965271": 142, "5242760181427002": 142, "5244": 142, "5245102047920227": 142, "5245575904846191": 142, "524561": 154, "5245749950408936": 142, "5245758891105652": 142, "5245881080627441": 142, "524588406085968": 142, "5246": 147, "5246357321739197": 142, "5246731638908386": 142, "5247140526771545": 142, "524736225605011": 142, "52475118637085": 142, "524778962135315": 142, "5248": 142, "5248690247535706": 142, "5248926281929016": 142, "5249382853507996": 142, "5249829292297363": 142, "525": 142, "52501678466797": 142, "5250577330589294": 142, "525091648101807": 142, "5251": 142, "525117874145508": 142, "5251498222351074": 142, "5251640677452087": 142, "525181770324707": 142, "5252242684364319": 142, "5252389907836914": 142, "5252613425254822": 142, "5252749919891357": 142, "5252977013587952": 142, "5254105925559998": 142, "5254122614860535": 142, "5254237055778503": 142, "5254344940185547": 142, "5254383087158203": 142, "5254622101783752": 142, "525507926940918": 142, "5255430340766907": 142, "5256407856941223": 142, "525660753250122": 142, "5257055163383484": 142, "5257127285003662": 142, "525714874267578": 142, "5257195830345154": 142, "5257654786109924": 142, "5257925987243652": 142, "5257959961891174": 142, "5257e": 147, "5258434414863586": 142, "526": [132, 142, 157], "5260179042816162": 142, "5260810852050781": 142, "5261614918708801": 142, "5261669158935547": 142, "5261814594268799": 142, "5261905193328857": 142, "5263822674751282": 142, "5264002680778503": 142, "5264150500297546": 142, "5264402031898499": 142, "526451": 154, "5264621376991272": 142, "5265577435493469": 142, "5265847444534302": 142, "5266441702842712": 142, "5267000794410706": 142, "5268701910972595": 142, "5269071459770203": 142, "5269338488578796": 142, "5269612669944763": 142, "5269827842712402": 142, "526kb": 134, "5271828770637512": 142, "5271906852722168": 142, "5272440910339355": 142, "5272484421730042": 142, "5273523926734924": 142, "5273843e": 133, "5274664759635925": 142, "527487": [147, 149], "5274e": 148, "5275123715400696": 142, "5276646018028259": 142, "5277130007743835": 142, "5277901291847229": 142, "527811": 154, "527941": 154, "5279484391212463": 142, "5280285477638245": 142, "5280731320381165": 142, "5280848145484924": 142, "5281910300254822": 142, "5281982421875": 142, "5282008051872253": 142, "5282669067382812": 142, "5282835364341736": 142, "5283613204956055": 142, "5283892750740051": 142, "5283e": 147, "528419554233551": 142, "5284672379493713": 142, "5284821391105652": 142, "5284907221794128": 142, "5286096930503845": 142, "528620": 154, "5286474227905273": 147, "5286619663238525": 142, "5287652015686035": 142, "5288": 142, "5288777947425842": 142, "5289509892463684": 142, "529013": 154, "529038": 154, "529083251953125": 142, "529097": 154, "5291010737419128": 142, "5291232466697693": 142, "5291805863380432": 142, "5291947722434998": 142, "5292": 142, "5292177200317383": 142, "5292466282844543": 142, "529278576374054": 142, "5292996764183044": 142, "5293335914611816": 142, "529413": 151, "529493": 154, "5295057892799377": 142, "5295650959014893": 142, "529624879360199": 142, "5296302437782288": 142, "5296485424041748": 142, "5296489596366882": 142, "5296533107757568": 142, "5296788215637207": 142, "529808521270752": 142, "5298316478729248": 142, "5298733711242676": 142, "529981": 154, "5299950242042542": 142, "529kb": 134, "52e": 147, "53": [134, 142, 145, 147, 149, 154, 157, 158], "5300151705741882": 142, "5300517678260803": 142, "5300586223602295": 142, "5300664901733398": 142, "5300851464271545": 142, "5301611423492432": 142, "5302849411964417": 142, "5303258895874023": 142, "5303282141685486": 142, "5303307175636292": 142, "5303480625152588": 142, "5303687453269958": 142, "5304194092750549": 142, "5304624438285828": 142, "5304956436157227": 142, "5305": 142, "530519723892212": 142, "5305464267730713": 142, "5305607914924622": 142, "5306": 142, "5306296348571777": 142, "5306574702262878": 142, "5306616425514221": 142, "5307": [147, 149], "5307136178016663": 142, "5308010578155518": 142, "5308460593223572": 142, "53094000e": [147, 149], "530kb": 134, "531": 134, "5310685634613037": 142, "5311480164527893": 142, "531162": 154, "5311944484710693": 142, "5312145352363586": 142, "5312376618385315": 142, "5312742590904236": 142, "531379": 154, "531427": 154, "5314795970916748": 142, "5315513014793396": 142, "531583": 154, "531606137752533": 142, "531724214553833": 142, "5317398905754089": 142, "5317451357841492": 142, "5318": 142, "5318529009819031": 142, "5318593382835388": 142, "5319097638130188": 142, "531914472579956": 142, "53191739320755": 142, "531kb": 134, "5320498943328857": 142, "5320660471916199": 142, "5320695042610168": 142, "5320772528648376": 142, "5321080088615417": 142, "5321294665336609": 142, "5322074294090271": 142, "532225": 154, "5322538018226624": 142, "532296657562256": 142, "532335": 151, "5324298739433289": 142, "532436": 154, "5324549674987793": 142, "5326321125030518": 142, "5326382517814636": 142, "53274005651474": 142, "532746": 154, "5327653884887695": 142, "532772": 154, "5328035950660706": 142, "532850": 154, "5328729152679443": 142, "532d6cd1fe541a0ddb0aa0f99962b7db": 129, "532kb": 134, "5330049395561218": 142, "5330668091773987": 142, "5331122875213623": 142, "5331763625144958": 142, "5332867503166199": 142, "5332974791526794": 142, "5333055853843689": 142, "533309": 154, "533375": 154, "5334384441375732": 142, "533556": 154, "5336": 142, "533622": [147, 149], "533633291721344": 142, "5336634516716003": 142, "5336766242980957": 142, "5336913466453552": 142, "5337045788764954": 142, "5337533950805664": 142, "5337726473808289": 142, "5338": 147, "5338153839111328": 142, "5338595509529114": 142, "533886730670929": 142, "5339": 142, "5339365601539612": 142, "5339460372924805": 142, "5339518189430237": 142, "533kb": 134, "534": [132, 157], "5340136885643005": 142, "534022867679596": 142, "5341165661811829": 142, "5342": 142, "5342700481414795": 142, "5342767834663391": 142, "534294605255127": 142, "5344171524047852": 142, "5344240069389343": 142, "534446": 154, "534451": 154, "5344527363777161": 142, "5344566702842712": 142, "5344593524932861": 142, "5344910621643066": 142, "5345297455787659": 142, "5345308184623718": 142, "5345613956451416": 142, "5345852375030518": 142, "534717": 154, "534746": 154, "5347614884376526": 142, "5348469614982605": 142, "5349364280700684": 142, "534kb": 134, "534m": 131, "535": [142, 154], "5350": 142, "5351001620292664": 142, "5351417660713196": 142, "5351836681365967": 142, "5352360606193542": 142, "5352726578712463": 142, "5353558659553528": 142, "5353770852088928": 142, "535432": [147, 149], "5355148911476135": 142, "5355184078216553": 142, "535528": 154, "5355686545372009": 142, "5355752110481262": 142, "535592257976532": 142, "5356063842773438": 142, "5356552600860596": 142, "5357709527015686": 142, "5358147025108337": 142, "5360209345817566": 142, "5360633730888367": 142, "536069929599762": 142, "5361006259918213": 142, "5361135005950928": 142, "536128580570221": 142, "5361766219139099": 142, "5362103581428528": 142, "5362374186515808": 142, "5363714694976807": 142, "5364711880683899": 142, "536553978919983": 142, "5365808010101318": 142, "5366411805152893": 142, "5367": 142, "53680419921875": 142, "5368163585662842": 142, "5368468761444092": 142, "5369079113006592": 142, "536952793598175": 142, "5369927883148193": 142, "536kb": 134, "5370038151741028": 142, "5370176434516907": 142, "5370505452156067": 142, "5370900630950928": 142, "5372": 142, "5373024344444275": 142, "5373595356941223": 142, "5373770594596863": 142, "5373952984809875": 142, "5374451279640198": 142, "5374627709388733": 142, "5374987125396729": 142, "537502": [147, 149], "5375178456306458": 142, "5375234484672546": 142, "5375317931175232": 142, "5375516414642334": 142, "537585973739624": 142, "5376": 142, "5376747250556946": 142, "537712": 154, "5377189517021179": 142, "5377257466316223": 142, "5378303527832031": 142, "537851333618164": 142, "538": 142, "5380768775939941": 142, "5380793213844299": 142, "5381616950035095": 142, "538174569606781": 142, "5382506847381592": 142, "5382694602012634": 142, "5382912158966064": 142, "5384231209754944": 142, "5384443402290344": 142, "5384657382965088": 142, "5385324358940125": 142, "5385351181030273": 142, "5385475158691406": 142, "538560152053833": 142, "5385640263557434": 142, "5386162400245667": 142, "5386224389076233": 142, "5386919379234314": 142, "538834810256958": 142, "5388609766960144": 142, "539": 142, "5391233563423157": 142, "5391361713409424": 142, "5391518473625183": 142, "5393351912498474": 142, "5393974781036377": 142, "5394768714904785": 142, "5395017266273499": 142, "5395097136497498": 142, "5395196080207825": 142, "5395289063453674": 142, "5396": 142, "5396435856819153": 142, "539698839187622": 142, "5397": 154, "5397091507911682": 142, "5398167967796326": 142, "5398584008216858": 142, "5399509072303772": 142, "53e": 147, "53ea2d44": 142, "53m": 134, "54": [132, 134, 142, 147, 149, 154, 157], "540": 142, "5400324463844299": 142, "5400426983833313": 142, "5400562286376953": 142, "5401327013969421": 142, "5401356220245361": 142, "5402042865753174": 142, "5402066707611084": 142, "5402180552482605": 142, "5402565002441406": 142, "5403198599815369": 142, "540569": 142, "540578": 142, "540619": 142, "540625": 142, "5406286120414734": 142, "5406585335731506": 142, "540660": 142, "540665": 142, "540687": 142, "5406953692436218": 142, "540696": 142, "5407": 142, "540701": 142, "540703": 142, "540773": 142, "540782": 142, "540791": 142, "5407949090003967": 142, "540797770023346": 142, "5408017039299011": 142, "540809": 142, "540818": 142, "540884": 142, "5409": [147, 149], "540912": 142, "540922": 142, "540997": 142, "541": 142, "5410": 154, "541021": 142, "5410344004631042": 142, "541047": 142, "541062": 142, "5410794615745544": 142, "541106": 142, "541111": 142, "541135549545288": 142, "541140": 142, "541149": 142, "541155": 142, "541180": 142, "541199803352356": 142, "541236": 142, "5412363409996033": 142, "5412557721138": 142, "541287899017334": 142, "541289": 142, "541291": 142, "541310": 142, "541312": 142, "5413475036621094": 142, "541378": 142, "5414": 142, "5414170622825623": 142, "5414378643035889": 142, "541449": 142, "5414671301841736": 142, "541487": 142, "5415284037590027": 142, "5415408611297607": 142, "5415564179420471": 142, "541558": 142, "541570": 142, "541582": 142, "541597": 154, "541609": 142, "541622": 142, "541656": 142, "5416758060455322": 142, "541681706905365": 142, "541686": 142, "541687": 142, "541689": 142, "541692": 142, "5416967272758484": 142, "5416997075080872": 142, "5417166352272034": 142, "541754": 142, "541785": 142, "541788": 142, "541810": 142, "541825532913208": 142, "541837": 142, "541844": 142, "541875": 142, "541877": 142, "541878": 142, "541879": 142, "541885": 142, "541895": 142, "5418a1b331f6c7689a5405cca4cc8d15": 129, "541911": 142, "5419299602508545": 142, "541937": 142, "541940": 142, "541989": 142, "541997": 142, "542": [134, 142], "5420033931732178": 142, "5420200228691101": 142, "542035": 154, "5420683026313782": 142, "5420699715614319": 142, "542086": [147, 149], "542096": 142, "542106": 142, "542138": 142, "542154": 142, "542188": 142, "5422162413597107": 142, "542239": 142, "5422742366790771": 142, "5422963500022888": 142, "542316": 142, "542333": 142, "542339": 142, "5423521399497986": 142, "542377": 142, "542387": 142, "542416": 154, "5424219965934753": 142, "542443": 142, "542449": 142, "542454": 142, "5424578785896301": 142, "542475": 142, "542484": 142, "542486": 142, "5424867272377014": 142, "542493": 142, "542495": 142, "542496": 142, "5425262451171875": 142, "542527437210083": 142, "542537": 142, "5425429344177246": 142, "542569": 142, "542570": 142, "542587": 142, "542604": 142, "542613": 142, "542614": 142, "542615": 142, "542629": 142, "542634": 142, "542640": 142, "542642": 142, "542644": 142, "542680": 142, "542681": 142, "5427138209342957": 142, "542730": 142, "542772": 142, "542791": 142, "542810": 142, "542812": 142, "542816": 142, "542826": 142, "5428329110145569": 142, "542846": 142, "5428557991981506": 142, "542880": 154, "542909": 142, "542915": 142, "5429186224937439": 142, "542953": 142, "543": 134, "543001": 142, "5430731773376465": 142, "5431325435638428": 142, "5431491732597351": 142, "5433351397514343": 142, "5433482527732849": 142, "5434570908546448": 142, "543466567993164": 142, "5435683727264404": 142, "543586790561676": 142, "5435903072357178": 142, "5436": 142, "5436322093009949": 142, "5436362624168396": 142, "5436412692070007": 142, "5436463356018066": 142, "5436472296714783": 142, "54374760389328": 142, "5438079237937927": 142, "543839693069458": 142, "5439121723175049": 142, "5439205765724182": 142, "5439581871032715": 142, "544": [1, 142], "5440247654914856": 142, "5440470576286316": 142, "5441349148750305": 142, "5442656874656677": 142, "5442984700202942": 142, "5443": 142, "5443267822265625": 142, "544358253479004": 142, "5443957448005676": 142, "5445606112480164": 142, "5446342825889587": 142, "5448979591836735": 147, "544kb": 134, "545013189315796": 142, "5450182557106018": 142, "545036": 144, "5450491309165955": 142, "5450590252876282": 142, "5450718998908997": 142, "5450787544250488": 142, "5450899600982666": 142, "5451324582099915": 142, "5452508926391602": 142, "5453026294708252": 142, "5453492999076843": 142, "545373": 154, "545478880405426": 142, "5454790592193604": 142, "5454866886138916": 142, "5456058382987976": 142, "5456079840660095": 142, "545650": 154, "5456607937812805": 142, "545686662197113": 142, "5456941723823547": 142, "5457294583320618": 142, "5458767414093018": 142, "5459079146385193": 142, "5459287762641907": 142, "546": 145, "5460617542266846": 142, "5461037755012512": 142, "5461101531982422": 142, "546110212802887": 142, "546140730381012": 142, "546180784702301": 142, "5462074279785156": 142, "546319": 154, "546337902545929": 142, "5465161204338074": 142, "5466253161430359": 142, "54668790102005": 142, "5467049479484558": 142, "5467382073402405": 142, "5468235611915588": 142, "5469285845756531": 142, "546962022781372": 142, "5469785332679749": 142, "5469844341278076": 142, "5469900965690613": 142, "546kb": 134, "5470": 142, "5470225811004639": 142, "5471228957176208": 142, "5471279621124268": 142, "5471447110176086": 142, "5471508502960205": 142, "5472168922424316": 142, "5472292304039001": 142, "54722937": 140, "547317": 154, "5473384857177734": 142, "5474246144294739": 142, "5474286079406738": 142, "5474533438682556": 142, "5475": 142, "5475936532020569": 142, "547597": [147, 149], "5476263165473938": 142, "547626972198486": 142, "5477218627929688": 142, "5477991104125977": 142, "5478205680847168": 142, "5478289723396301": 142, "5478382110595703": 142, "547kb": 134, "548": 142, "5480412840843201": 142, "5480684638023376": 142, "5481": 142, "548203229904175": 142, "5482620596885681": 142, "5483739376068115": 142, "5484340786933899": 142, "548454225063324": 142, "5484758019447327": 142, "5484856963157654": 142, "5485374331474304": 142, "5485594868659973": 142, "5485687255859375": 142, "5486": 142, "5486573576927185": 142, "5487633347511292": 142, "5488511919975281": 142, "5489161610603333": 142, "5489217638969421": 142, "549": 142, "5491": 142, "5491340756416321": 142, "5491611957550049": 142, "5493330359458923": 142, "5493475794792175": 142, "5494087338447571": 142, "549425": 154, "5494449138641357": 142, "5494670867919922": 142, "549494981765747": 142, "549501657485962": 142, "5495708584785461": 142, "5496": 142, "5496054291725159": 142, "5497073531150818": 142, "5497834086418152": 142, "5498": 142, "54981929063797": 142, "549851417541504": 142, "549853503704071": 142, "5498731136322021": 142, "5499705672264099": 142, "549kb": 134, "54e": 147, "54it": 147, "54m": 134, "55": [134, 139, 142, 147, 149, 151, 154, 157], "550": 142, "5500158667564392": 142, "5500491261482239": 142, "5500540733337402": 142, "5501": 142, "5501067638397217": 142, "5501692891120911": 142, "5502273440361023": 142, "5502362847328186": 142, "5503451824188232": 142, "5504099726676941": 142, "550504": 154, "5505189299583435": 142, "5505414009094238": 142, "5505828857421875": 142, "5506113171577454": 142, "5506153106689453": 142, "5507227778434753": 142, "5507932305335999": 142, "5507983565330505": 142, "5508019924163818": 142, "5508175492286682": 142, "5508326888084412": 142, "5508614182472229": 142, "5509600043296814": 142, "550kb": 134, "551138": 154, "551177442073822": 142, "5511e": 148, "5513": 142, "5513022541999817": 142, "5515411496162415": 142, "5515887141227722": 142, "5516666769981384": 142, "5517193675041199": 142, "5518": 142, "5518171787261963": 142, "5519046783447266": 142, "5519208908081055": 142, "5519253611564636": 142, "5519349575042725": 142, "551kb": 134, "552007257938385": 142, "5520495772361755": 142, "5521364808082581": 142, "5521979928016663": 142, "552232027053833": 142, "5522940754890442": 142, "5523279309272766": 142, "552382469177246": 142, "5525084137916565": 142, "5525243878364563": 142, "552598": 154, "5527": 148, "5527047514915466": 142, "552748441696167": 142, "5527753829956055": 142, "5528": 142, "5528149008750916": 142, "5528480410575867": 142, "552856206893921": 142, "5528647303581238": 142, "5528903007507324": 142, "5529": 142, "55293208360672": 142, "552983820438385": 142, "552997350692749": 142, "55299973487854": 142, "553088366985321": 142, "5530926585197449": 142, "55319156980987": 142, "553192138671875": 142, "5532769560813904": 142, "5533661842346191": 142, "5534188151359558": 142, "553490161895752": 142, "5536234378814697": 142, "553629": 154, "5536786913871765": 142, "553699791431427": 142, "5537074208259583": 142, "553713321685791": 142, "5537860989570618": 142, "5538": 142, "5538472533226013": 142, "553870": 154, "553875": 142, "55388069152832": 142, "5538861155509949": 142, "553946": 142, "5539662837982178": 142, "553973": 142, "553994": 142, "5540722012519836": 142, "554074": 142, "5541069507598877": 142, "554117": [147, 149], "554134": 142, "5541964173316956": 142, "5542073249816895": 142, "554212": 142, "5542697310447693": 142, "5542716383934021": 142, "554304": 142, "554310": 142, "5543116927146912": 142, "5543294548988342": 142, "5543530583381653": 142, "554405": 142, "554462": 142, "554473340511322": 142, "5545262694358826": 142, "554575": 142, "554579": 142, "5546": 142, "554609": 142, "554650": 154, "554676": 142, "5546770095825195": 142, "5546925067901611": 142, "5547066330909729": 142, "5547775626182556": 142, "5548469424247742": 142, "554868": 142, "554907": 142, "5549184679985046": 142, "554921": 142, "554993": 142, "555": 142, "5550057888031006": 142, "555066": 142, "5550972819328308": 142, "5550e": 147, "55512934923172": 142, "5551754832267761": 142, "5551956295967102": 142, "555269": 142, "555280": 142, "555283": 142, "555293": 142, "555296": 154, "555370": 142, "5553898811340332": 142, "555410": 142, "5554187297821045": 142, "5554937720298767": 142, "555519163608551": 142, "5555379986763": 142, "555569": 142, "555599": 142, "5557107329368591": 142, "555763": 142, "555805": 142, "555843": 142, "555848": 142, "555853": 142, "5558820366859436": 142, "5558865070343018": 142, "555903971195221": 142, "5559344291687012": 142, "555935": 142, "556": 142, "556003": 154, "556005": 142, "5560088157653809": 142, "5560285449028015": 142, "5560510158538818": 142, "5561": 153, "5561152100563049": 142, "5561977028846741": 142, "556225": 142, "5562427043914795": 142, "5562892556190491": 142, "556328": 142, "556392": 142, "556395": 142, "5564844608306885": 142, "5565025210380554": 142, "556516": 142, "5565522313117981": 142, "556597": 142, "5566668510437012": 142, "5566732287406921": 142, "556712": 142, "5567311644554138": 142, "556742": 142, "5567474961280823": 142, "556769": 142, "5568022727966309": 142, "556815": 142, "5568870902061462": 142, "5568969249725342": 142, "5569109320640564": 142, "556916": 142, "556978": 142, "556kb": 134, "5570055842399597": 142, "557018": 142, "557054": 142, "557096": 142, "557166": 154, "557179": 142, "5573064684867859": 142, "557308": 142, "557321": 142, "5573250651359558": 142, "5573433041572571": 142, "5573530197143555": 142, "557359218597412": 142, "557373": 142, "5574231743812561": 142, "5574522018432617": 142, "5575225949287415": 142, "557523": 142, "5575463771820068": 142, "557593": 154, "557629": 142, "5576363205909729": 142, "557640": 142, "557643": 142, "557719": 142, "557737": 142, "5577592849731445": 142, "5577597618103027": 142, "5578002333641052": 142, "557809": 142, "5578283667564392": 142, "5579164624214172": 142, "5579177737236023": 142, "557929": 142, "5579586029052734": 142, "5579964518547058": 142, "558": 147, "558006227016449": 142, "5580232739448547": 142, "558071": 142, "558110": 142, "5581302046775818": 142, "558177649974823": 142, "558208": 147, "558245837688446": 142, "5583392977714539": 142, "558378": 142, "5584": 142, "558440923690796": 142, "558452": 142, "5585": [147, 149], "558507": 154, "558518": 142, "5585256218910217": 142, "558552": 142, "5587055683135986": 142, "558706": 142, "5587233901023865": 142, "558760": 142, "558762": 142, "5587763786315918": 142, "5587772727012634": 142, "558778": 142, "558811": 142, "558868646621704": 142, "5589": 142, "558911": 142, "5589374899864197": 142, "558973": 142, "5589823722839355": 142, "558kb": 134, "5590334534645081": 142, "559053897857666": 142, "5590986609458923": 142, "559112": 130, "559112_ryqxa0n0uc_ohyukozy3g": 130, "5591378808021545": 142, "5591663718223572": 142, "559200": 142, "559202": 154, "559204": 142, "5592504739761353": 142, "559278": 142, "5593053698539734": 142, "5593450665473938": 142, "559459": 142, "559462": 156, "5594640374183655": 142, "559492": 142, "5595366954803467": 142, "5595857501029968": 142, "5595950484275818": 142, "5596013069152832": 142, "5596093535423279": 142, "559634": 142, "559676": 142, "559694": 142, "5597": 142, "559705": 154, "5598099827766418": 142, "559822142124176": 142, "559880256652832": 142, "559918": 142, "559kb": 134, "55e": 147, "55it": 147, "55m": 134, "55mb": 134, "56": [132, 134, 139, 142, 147, 149, 154], "560025": 142, "560046": 142, "5600813031196594": 142, "5601595044136047": 142, "5602": 142, "560211": 154, "560262": 142, "5603": 142, "5603030323982239": 142, "560370": 142, "5603785514831543": 142, "5603885650634766": 142, "560538": 142, "5605441927909851": 142, "560588": 142, "560635": 142, "560663": 142, "560668": 154, "5606792569160461": 142, "5607025623321533": 142, "5607073903083801": 142, "5607869029045105": 142, "560791": 154, "560806": 142, "560807": 142, "5608358979225159": 142, "5608444809913635": 142, "5608546733856201": 142, "5609717965126038": 142, "5609893202781677": 142, "560993492603302": 142, "561": 142, "5610": 142, "5610191226005554": 142, "561033": 142, "561051": 142, "561118": 142, "561130": 142, "561242": 142, "561258": 142, "5612620711326599": 142, "561320": 142, "5614102482795715": 142, "5614170432090759": 142, "5614175200462341": 142, "561419": 142, "5614497065544128": 142, "561456": 142, "5615": 142, "561511": 142, "5615503191947937": 142, "5615587830543518": 142, "561620": 142, "5616202354431152": 142, "561639": 142, "5616447925567627": 142, "5616672039031982": 142, "561682": 142, "561710": 142, "561715": 154, "561830": 142, "5618436336517334": 142, "5618808269500732": 142, "561902": 142, "561993420124054": 142, "561kb": 134, "562": [132, 142, 157], "5620537996292114": 142, "5620880126953125": 142, "5621": 142, "562100": 142, "5622003078460693": 142, "5622329711914062": 142, "5622400641441345": 142, "562252998352051": 142, "562310": 154, "562350": 154, "5623510479927063": 142, "5623753070831299": 142, "5623762011528015": 142, "562386691570282": 142, "5624489188194275": 142, "5624492764472961": 142, "562470555305481": 142, "562537": 142, "5625648498535156": 142, "562634": 142, "5626633763313293": 142, "562693178653717": 142, "5626991391181946": 142, "5627002120018005": 142, "562726": 142, "5627381801605225": 142, "5627778172492981": 142, "5628": 147, "562813": 154, "5628156661987305": 142, "5628611445426941": 142, "5629": 144, "5629199147224426": 142, "5629344582557678": 142, "563": [133, 139], "56304931640625": 142, "563086": 154, "5631096959114075": 142, "5631287097930908": 142, "5631706714630127": 142, "5631830096244812": 142, "5632140040397644": 142, "5632334351539612": 142, "563287": 154, "5633056163787842": 142, "563343": [147, 149], "5634421706199646": 142, "563461": 154, "5634666085243225": 142, "5634822845458984": 142, "563548": 154, "5637066960334778": 142, "563810": 154, "5638218522071838": 142, "5639": 139, "5639136433601379": 142, "5639362931251526": 142, "563kb": 134, "564": 142, "5641002058982849": 142, "5641204714775085": 142, "5641796588897705": 142, "5642551779747009": 142, "56435227394104": 142, "5643589496612549": 142, "5643590092658997": 142, "56437087059021": 142, "5644469857215881": 142, "5644586086273193": 142, "5644754767417908": 142, "564486026763916": 142, "564558744430542": 142, "5645666718482971": 142, "564583": 154, "564633846282959": 142, "564659059047699": 142, "5646981596946716": 142, "5647520422935486": 142, "5647773146629333": 142, "564809": 154, "564kb": 134, "565045177936554": 142, "5650634169578552": 142, "565183699131012": 142, "5651938915252686": 142, "5652047991752625": 142, "565206050872803": 142, "5652366280555725": 142, "5653483271598816": 142, "5654245018959045": 142, "5654926300048828": 142, "565500259399414": 142, "5655278563499451": 142, "5655407905578613": 142, "565715": 154, "5657238364219666": 142, "565784215927124": 142, "565799": 154, "5658469796180725": 142, "565852701663971": 142, "5659": 142, "56598052": [147, 149], "5659914612770081": 142, "565kb": 134, "566": 134, "5661430954933167": 142, "566155": 154, "566420555114746": 142, "5664291977882385": 142, "5665330290794373": 142, "5665340423583984": 142, "5665550827980042": 142, "566588": 154, "5666210055351257": 142, "5666233897209167": 142, "566624104976654": 142, "5666596293449402": 142, "5666732788085938": 142, "5666764378547668": 142, "5667436718940735": 142, "5668186545372009": 142, "566853": 154, "5668944716453552": 142, "5669078230857849": 142, "567026": 154, "5670301914215088": 142, "567082": 142, "5671": 142, "567114": 142, "567181": 142, "567191": 142, "567196": 142, "567197": 142, "567207": 142, "567220": 142, "567228": 142, "5672492980957031": 142, "5672520995140076": 142, "567276": 142, "567278": 142, "567279": 142, "567296981811523": 142, "567313": 142, "567318": 142, "567330": 142, "567345": 142, "567354": 142, "567366": 142, "5673778057098389": 142, "567379": 142, "567394": 142, "567397": 142, "5674011707305908": 142, "567409": 142, "567439615726471": 142, "5674512386322021": 142, "567456": 142, "567484": 142, "567485": 142, "567490": 142, "5675": 147, "567504": 142, "567505": 142, "567524": 142, "567525": 142, "567530": 142, "5675301551818848": 142, "567540": 142, "567545": 142, "567551": 142, "5675545334815979": 142, "567558": 142, "567583": 142, "567596": 142, "567597": 142, "5676": 142, "5676119327545166": 142, "567612": 142, "5676340460777283": 142, "567636": 142, "567653": 142, "567657": 142, "5676602125167847": 142, "567705": 142, "567716": 142, "567724": 142, "567736": 142, "567747": 142, "567749": 142, "567750": 142, "567752": 142, "567769": 142, "567772": 142, "567791223526001": 142, "567817": 142, "567822": 142, "567832": 142, "567846": 142, "567856": 142, "567857": 142, "567860": 142, "5678651332855225": 142, "567871": 142, "567883": 142, "567889": 142, "567894": 154, "567907": 142, "567913": 142, "567919": 142, "567920": 142, "567927": 142, "567929": 142, "567931": 142, "567945": 142, "5679490566253662": 142, "5679583549499512": 142, "567981": 142, "567996": 142, "568": [142, 154], "568018": 142, "568020": 142, "568021833896637": 142, "5680238604545593": 142, "568032": 142, "5680510401725769": 142, "568052": 142, "568067": 142, "568069": 142, "568077": 142, "568086": 142, "5680950284004211": 142, "568100": 142, "568115": 142, "568121": 142, "568151": 142, "568172": 142, "5681751370429993": 142, "5681799054145813": 142, "568186": 142, "568208": 142, "568232": 142, "568234": 142, "5682408809661865": 142, "568263": 142, "568264": 142, "5682843327522278": 142, "568293": 142, "568320": 142, "568328": 142, "568345": 142, "568347": 142, "568349": 142, "568376": 142, "568380": 142, "568383514881134": 142, "568394": 142, "568398": 142, "568402": 142, "568405": 142, "5684153437614441": 142, "568424": 142, "5684418678283691": 142, "568450": 142, "568469": 142, "568476": 142, "568483": 142, "5684853196144104": 142, "5684865117073059": 142, "568501": 142, "568516": 142, "568524": 142, "568526": 142, "568531": 142, "568543": 142, "568544": 142, "568565": 142, "568580": 142, "568587": 142, "568592": 142, "568595": 142, "568603": 142, "568607": 142, "568610668182373": 142, "568619": 142, "568628": 142, "568636": 142, "5686371922492981": 142, "568646": 142, "568655": 142, "568656": 142, "568661": 142, "568664": 142, "568671": 142, "568673": 142, "568695": 142, "568696": 142, "5687": 147, "568711": 142, "568718": 142, "568726": 142, "568735": 142, "568745": 142, "568746": 142, "568747": 142, "5687673687934875": 142, "5687879920005798": 142, "568789": 142, "568792": 142, "5688264966011047": 142, "568832": 142, "568848": 142, "568856": 142, "568857192993164": 142, "568865": 142, "568866": 142, "568880": 142, "568901": 142, "568903": 142, "568914": 142, "568920": 142, "568934": 142, "568936": 142, "568940": 142, "568950": 142, "568965": 142, "568971": 142, "568974": 142, "568986": 142, "568992": 142, "5689954161643982": 142, "569006": 142, "569007": 142, "569008": 142, "569012": 142, "569037": 142, "569044": 142, "569060": 142, "569095": 142, "569102": 142, "569132": 142, "569134533405304": 142, "569149": 142, "569151": 142, "569152": 142, "5691532492637634": 142, "5691609978675842": 142, "569167": 142, "569170": 142, "569175": 142, "569193": 142, "569196": 142, "569204": 142, "569247": 142, "569249": 142, "569250": 142, "569267": 142, "569272": 142, "569280": 142, "569289": 142, "569298": 142, "5693": 142, "569310": 142, "569322": 142, "569344": 142, "569360": 142, "5693638920783997": 142, "5693838596343994": 142, "569388": 142, "569391": 142, "5693960785865784": 142, "569402277469635": 142, "569408": 142, "569410": 142, "569423": 142, "569426": 142, "569436": 142, "569442": 142, "5694525837898254": 142, "569458": 142, "5694944262504578": 142, "569511": 142, "569516": 142, "569522": 142, "569523": 142, "569526": 142, "569532": 142, "569535": 142, "569544": 142, "569558": 142, "569581": 142, "569594": 142, "569600": 142, "5696142315864563": 142, "569624": 142, "569628": 142, "569639": 142, "569653": 142, "569662": 142, "569671": 142, "569678": 142, "569683": 142, "569685697555542": 142, "5697000622749329": 142, "569708": 142, "569727": 142, "569743": 142, "569753": 142, "569775": 142, "569776": 142, "569779": 142, "569785": 142, "569794": 142, "569813": 142, "569815": 142, "569823": 142, "569824": 142, "569833": 142, "569837": 142, "569857": 142, "5698633193969727": 142, "569867": 142, "569881": 142, "569885": 142, "569886": 142, "569952": 142, "569954": 142, "5699679851531982": 142, "5699684619903564": 142, "569978": 142, "569979": 142, "569983": 142, "569989": 142, "5699937343597412": 142, "569kb": 134, "56e": 147, "56m": 134, "57": [134, 142, 147, 149, 154], "570008": 142, "570031": 142, "570062": 142, "570068": 142, "570079": 142, "570091": 142, "570112": 142, "570113": 142, "570122": 142, "570130": 142, "570150": 142, "570173": 142, "570197": 142, "570199": 142, "5702": 142, "5702204704284668": 142, "570258": 142, "570270": 142, "570271": 142, "570276": 142, "5702838897705078": 142, "570287": 142, "570290": 142, "570293": 142, "570325": 142, "570326": 142, "570340": 142, "5703456401824951": 142, "570351": 142, "570355": 142, "570356": 142, "570362": 142, "570370": 142, "570377": 142, "570428": 142, "570430": 142, "570436": 142, "5704419016838074": 142, "570451": 142, "570452": 142, "570459": 142, "570463": 142, "570483": 142, "570491": 142, "5705": 154, "570505": 142, "570538": 142, "570544": 142, "570553": 142, "570555": 142, "570558": 142, "570560": 142, "570562": 142, "570568": 142, "570578": 142, "570591": 142, "570598": 142, "5706": 142, "570609": 142, "570632": 142, "570641": 142, "5706413388252258": 142, "570651": 142, "5706573128700256": 142, "5706577897071838": 142, "570666": 142, "570670": 142, "570673": 142, "570684": 142, "570687": 142, "570689": 142, "570690": 142, "570691": 142, "570713": 142, "5707175731658936": 142, "5707342028617859": 142, "570744": 142, "570751": 142, "5707626342773438": 142, "570763": 142, "570769": 142, "570774": 142, "570777": 142, "570786": 142, "570791": 142, "570801": 142, "570810": 142, "570832": 142, "570837": 142, "570844": 142, "570858": 142, "570863": 142, "570866346359253": 142, "570870": 142, "570875": 142, "570879": 142, "570880": 142, "570895": 142, "570896": 142, "570910": 142, "5709105134010315": 142, "570920": 142, "570921897888184": 142, "570930": 142, "570936": 142, "570951": 142, "570957": 142, "570960": 142, "57096529006958": 142, "570971": 142, "5709760785102844": 142, "570990": 142, "570kb": 134, "571": 142, "5710": 142, "571016": 142, "571021": 142, "571030": 142, "571033": 142, "571034": 142, "571035": 142, "571038": 142, "571039": 142, "571053": 142, "571054": 142, "571059": 142, "571060": 142, "5710633397102356": 142, "571079": 142, "571085": 142, "5710919499397278": 142, "571096": 142, "571103": 142, "571133": 142, "5711360573768616": 142, "571143": 142, "571147": 142, "5711528658866882": 142, "571160": 142, "571162": 142, "571163": 142, "5711688995361328": 142, "571195": 142, "5711976885795593": 142, "571199": 142, "5712": 142, "571203": 142, "571215": 142, "571216": 142, "5712305903434753": 142, "571247": 142, "571262": 142, "571263": 142, "571264": 142, "571266": 142, "571270": 142, "571281": 142, "5712957978248596": 142, "571305": 142, "571310": 142, "571313": 142, "5713232159614563": 142, "571333": 142, "571342": 142, "571343": 142, "571367": 142, "571370": 142, "5713739395141602": 142, "571377": 142, "571383": 142, "571406": 142, "571424": 142, "571453": 142, "5714560151100159": 142, "571456253528595": 142, "571461": 142, "571471": 142, "571486": 142, "571499": 142, "571505": 142, "571518": 142, "571534": 142, "571537": 142, "571547": 142, "571550": 142, "571555": 142, "571557": 142, "5715730786323547": 142, "5715742707252502": 142, "5715947151184082": 142, "571598": 142, "571609": 142, "5716128945350647": 142, "571623": 142, "571636": 142, "571640": 142, "571642": 142, "571651": 142, "571661": 142, "571664": 142, "5718": [147, 149], "5718600749969482": 142, "572068989276886": 142, "5721261501312256": 142, "5722610354423523": 142, "5723521113395691": 142, "5723538398742676": 142, "5723772644996643": 142, "5724166035652161": 142, "572418689727783": 142, "572420597076416": 142, "572462260723114": 142, "5724854469299316": 142, "5725": 142, "5725293755531311": 142, "572562217712402": 142, "572596": 142, "572598": 142, "572758": 142, "5727726221084595": 142, "5728": 139, "5728111267089844": 142, "5728270411491394": 142, "5728381276130676": 142, "5728420615196228": 142, "572892": 142, "5729": 142, "572935163974762": 142, "572938": [147, 149], "5729389190673828": 142, "573": 142, "5730127692222595": 142, "573145": 142, "5731862978d80502bbf7017d68c2c729": 129, "5732343792915344": 142, "5732417106628418": 142, "573313295841217": 142, "573316": 142, "573429107666016": 142, "5734596848487854": 142, "573514": 142, "573523": 142, "573579": 142, "573581": 142, "5736111998558044": 142, "5736424922943115": 142, "573669672012329": 142, "573691": 142, "573697": 142, "573721": 142, "5737278461456299": 142, "573755": 142, "573763": 142, "5737633109092712": 142, "5738487839698792": 142, "5738559365272522": 142, "573891": 142, "5739299654960632": 142, "5739352107048035": 142, "573947": 142, "5739886164665222": 142, "573kb": 134, "574": 142, "574025": 142, "5740816593170166": 142, "574112": 142, "574138": 142, "574157178401947": 142, "574169": 142, "5742199420928955": 142, "5742204189300537": 142, "574241876602173": 142, "5742526650428772": 142, "57425457239151": 142, "5742842555046082": 142, "5743062496185303": 142, "5743127465248108": 142, "574338": 142, "574339": 142, "5743619203567505": 142, "574379": 142, "574398934841156": 142, "5744147896766663": 142, "574425220489502": 142, "5744308829307556": 142, "574461": [147, 149], "574485": 142, "574498": 142, "5745": 142, "5745963454246521": 142, "574599": 142, "5747364163398743": 142, "5748": 142, "5748844146728516": 142, "5749": 142, "5749699473381042": 142, "5752298831939697": 142, "575346052646637": 142, "5753769874572754": 142, "5754073262214661": 142, "5754616856575012": 142, "5755441188812256": 142, "5755780339241028": 142, "5756": [142, 154], "5756289958953857": 142, "5756440758705139": 142, "5756897926330566": 142, "5757496356964111": 142, "5757985711097717": 142, "5758092403411865": 142, "5759164690971375": 142, "57597416639328": 142, "576008141040802": 142, "5760602951049805": 142, "5761120915412903": 142, "5761399269104004": 142, "5761567950248718": 142, "5761847496032715": 142, "5762787e": 133, "5762946009635925": 142, "5764846205711365": 142, "5765717625617981": 142, "5766549110412598": 142, "5766555666923523": 142, "5766610503196716": 142, "5767781734466553": 142, "5768484473228455": 142, "5768927931785583": 142, "576981782913208": 142, "5770112872123718": 142, "5770123600959778": 142, "5770254135131836": 142, "5770635604858398": 142, "5770733952522278": 142, "5770923495292664": 142, "5772059559822083": 142, "5772095322608948": 142, "5773178935050964": 142, "5774407386779785": 142, "5775584578514099": 142, "5776780247688293": 142, "5776879787445068": 142, "5777106881141663": 142, "577773094177246": 142, "5778": 142, "5778064131736755": 142, "5778155326843262": 142, "5779220461845398": 142, "5779247879981995": 142, "577kb": 134, "5781474113464355": 142, "5781523585319519": 142, "5782": 142, "5782025456428528": 142, "5782179832458496": 142, "5783337950706482": 142, "5783349871635437": 142, "5783630013465881": 142, "5783869624137878": 142, "5783936977386475": 142, "5784947872161865": 142, "5785019993782043": 142, "5785362124443054": 142, "5785744190216064": 142, "5786189436912537": 142, "5786864757537842": 142, "578735888004303": 142, "5789012908935547": 142, "5789549350738525": 142, "5790109038352966": 142, "579024076461792": 142, "5790410041809082": 142, "579062283039093": 142, "579156219959259": 142, "5792558193206787": 142, "5793554782867432": 142, "5793702602386475": 142, "579469680786133": 142, "579496": 142, "5795037150382996": 142, "5795125365257263": 142, "579544": 142, "5796349048614502": 142, "5796611309051514": 142, "5797126889228821": 142, "5797935128211975": 142, "5797e": 148, "5798": 142, "5798283219337463": 142, "5798304080963135": 142, "5798895955085754": 142, "5798900723457336": 142, "5798903107643127": 142, "5799794793128967": 142, "579kb": 134, "57e": 147, "57it": [134, 147], "57m": 134, "58": [134, 138, 142, 145, 147, 149, 153, 154], "580": 145, "5800790190696716": 142, "5801321864128113": 142, "5801768898963928": 142, "580226": 142, "580234": 142, "580239": [147, 149], "580343246459961": 142, "580357": 142, "5804010033607483": 142, "580448567867279": 142, "5804502367973328": 142, "580480": 142, "580521285533905": 142, "5806109309196472": 142, "5807": 142, "5807233452796936": 142, "580748": 142, "5807675719261169": 142, "580930": 142, "5809463858604431": 142, "581": 138, "581024": 142, "5811201930046082": 142, "5812792181968689": 142, "5812953114509583": 142, "5814020037651062": 142, "5814278721809387": 142, "581458806991577": 142, "5814948678016663": 142, "581610202789307": 142, "581618410767987e": 142, "5816938877105713": 142, "581707": 142, "5817089080810547": 142, "581716": 142, "581733": 142, "5817739963531494": 142, "5818": 142, "581833": 142, "5819034576416016": 142, "5819098949432373": 142, "5819392204284668": 142, "5819885730743408": 142, "581990": 142, "582028": 142, "582034": 142, "5820491313934326": 142, "582067": 142, "5821": 142, "582146": 142, "5822697281837463": 142, "5822758078575134": 142, "5823": [147, 149], "5823814272880554": 142, "5823895335197449": 142, "5824130177497864": 142, "5824207663536072": 142, "5824225544929504": 142, "582444": 142, "5824882388114929": 142, "582549": 142, "5826310515403748": 142, "5826360583305359": 142, "582681": 142, "582709014415741": 142, "5827092528343201": 142, "582712709903717": 142, "582751": 142, "5827533602714539": 142, "5828206539154053": 142, "5829052925109863": 142, "5829057097434998": 142, "5829216837882996": 142, "5829799771308899": 142, "582988": 142, "5829927325248718": 142, "583": 142, "5830": [142, 144], "583071": 142, "583164632320404": 142, "5831668376922607": 142, "583168": 142, "5831851363182068": 142, "5832374095916748": 142, "5833666324615479": 142, "5833874344825745": 142, "58345603942871": 142, "583572387695312": 142, "5836610794067383": 142, "583740": 142, "5837480425834656": 142, "5838080048561096": 142, "5839695930480957": 142, "5840098857879639": 142, "5840254426002502": 142, "5840609073638916": 142, "5841764807701111": 142, "5842595100402832": 142, "5842848420143127": 142, "5843890309333801": 142, "5844510197639465": 142, "5844976902008057": 142, "5845263600349426": 142, "5845449566841125": 142, "5845813155174255": 142, "584633": [147, 149], "5846629738807678": 142, "5846900343894958": 142, "584696352481842": 142, "5847086310386658": 142, "5847704410552979": 142, "584953784942627": 142, "5849549770355225": 142, "5849856734275818": 142, "584kb": 134, "5850786566734314": 142, "585193157196045": 142, "5852587819099426": 142, "5853049159049988": 142, "5854110717773438": 142, "5854135155677795": 142, "5854936242103577": 142, "5855286717414856": 142, "585545003414154": 142, "5856": 134, "5856728553771973": 142, "5858557820320129": 142, "585949": 142, "5859499573707581": 142, "585951566696167": 142, "585957050323486": 142, "585987389087677": 142, "585kb": 134, "586": [132, 157], "586123526096344": 142, "5861733555793762": 142, "5862": 142, "5862436294555664": 142, "5862665176391602": 142, "5863780379295349": 142, "586378574371338": 142, "5863850712776184": 142, "5866605639457703": 142, "586836099624634": 142, "586867332458496": 142, "5869007110595703": 142, "5869138836860657": 142, "5869438648223877": 142, "5869472622871399": 142, "5869488716125488": 142, "587": 147, "5871067643165588": 142, "5871550440788269": 142, "5872042179107666": 142, "5872591137886047": 142, "587274": [147, 149], "5872761607170105": 142, "5873399376869202": 142, "5874": 142, "5874137282371521": 142, "587500810623169": 142, "587541103363037": 142, "5876107811927795": 142, "5876218676567078": 142, "5876688957214355": 142, "587677538394928": 142, "5877150893211365": 142, "5877416729927063": 142, "587807834148407": 142, "5878844857215881": 142, "5879005789756775": 142, "5879513621330261": 142, "5879631042480469": 142, "5880759358406067": 142, "5880774855613708": 142, "5880825519561768": 142, "5881": 142, "5883": 142, "5883206725120544": 142, "5883265137672424": 142, "588334083557129": 142, "5883809924125671": 142, "5883999466896057": 142, "5884841084480286": 142, "5885217189788818": 142, "5885441303253174": 142, "588818371295929": 142, "5888356566429138": 142, "588916301727295": 142, "5889809131622314": 142, "5890764594078064": 142, "5891980528831482": 142, "5892247557640076": 142, "5892677903175354": 142, "5892715454101562": 142, "5893": 134, "5893213152885437": 142, "5894174575805664": 142, "589428722858429": 142, "589435875415802": 142, "589470148086548": 142, "589493": [147, 149], "5895547270774841": 142, "5895764827728271": 142, "589579164981842": 142, "589684009552002": 142, "58976811170578": 142, "5897881984710693": 142, "5898463129997253": 142, "5899608731269836": 142, "58e": 147, "58m": [134, 157], "58mb": 134, "59": [133, 134, 142, 145, 147, 149, 154, 158], "590": [134, 142], "5901003479957581": 142, "5901005268096924": 142, "5903222560882568": 142, "5903699398040771": 142, "5903974175453186": 142, "5904083251953125": 142, "5905203223228455": 142, "5905663371086121": 142, "5906": 147, "5906932353973389": 142, "590754508972168": 142, "5907793641090393": 142, "590789794921875": 142, "590852677822113": 142, "5909417271614075": 142, "5910": 142, "5910018086433411": 142, "5911290049552917": 142, "5912407040596008": 142, "5912721157073975": 142, "591327667236328": 142, "5913686752319336": 142, "5913828015327454": 142, "5913857817649841": 142, "5914456248283386": 142, "5914552807807922": 142, "5915248990058899": 142, "5915282368659973": 142, "5915305018424988": 142, "591565132141113": 142, "5916428565979004": 142, "591643750667572": 142, "5917534232139587": 142, "5918": 142, "5918605327606201": 142, "591864287853241": 142, "5919002890586853": 142, "5919702649116516": 142, "591kb": 134, "592": 142, "592069": 147, "5921": 142, "5922213196754456": 142, "5922388434410095": 142, "5923402905464172": 142, "5923686027526855": 142, "5924268364906311": 142, "5926082730293274": 142, "5926411151885986": 142, "5926451086997986": 142, "5928": [142, 144], "592833518981934": 142, "592846691608429": 142, "5929": 142, "5929372310638428": 142, "5929725766181946": 142, "593": 142, "5930142402648926": 142, "5930416584014893": 142, "593139111995697": 142, "5932092070579529": 142, "5932380557060242": 142, "5932583212852478": 142, "5932778716087341": 142, "5933215618133545": 142, "5933570265769958": 142, "593440592288971": 142, "5935051441192627": 142, "5935119986534119": 142, "593550205230713": 142, "5935825705528259": 142, "5936303734779358": 142, "5937516689300537": 142, "5939357876777649": 142, "594": 134, "5940122008323669": 142, "594063": [147, 149], "5940823554992676": 142, "5940830111503601": 142, "5941917896270752": 142, "594197988510132": 142, "5942": [142, 154], "5942118167877197": 142, "5942272543907166": 142, "5942468047142029": 142, "5942556262016296": 142, "5943174362182617": 142, "5944072604179382": 142, "5944466590881348": 142, "5944673418998718": 142, "5945004820823669": 142, "5946045517921448": 142, "5948337912559509": 142, "594864845275879": 142, "5948941111564636": 142, "5949454307556152": 142, "5949986577033997": 142, "5951085686683655": 142, "5951104164123535": 142, "595112144947052": 142, "5951808094978333": 142, "5952250957489014": 142, "5953140258789062": 142, "595330715179443": 142, "595336437225342": 142, "5953587889671326": 142, "5953781604766846": 142, "5954423546791077": 142, "5954921245574951": 142, "5955476760864258": 142, "5956056714057922": 142, "5956586003303528": 142, "5956676602363586": 142, "5956761240959167": 142, "5957601070404053": 142, "5957650542259216": 142, "595863401889801": 142, "5959091782569885": 142, "5959166884422302": 142, "595kb": 134, "596008777618408": 142, "5961522459983826": 142, "59617280960083": 142, "5961784720420837": 142, "5962371826171875": 142, "5963046550750732": 142, "5963399410247803": 142, "5963468551635742": 142, "5964319109916687": 142, "596510112285614": 142, "5965197682380676": 142, "5965648293495178": 142, "596569836139679": 142, "5967": 142, "5967116355895996": 142, "596858024597168": 142, "5968878269195557": 142, "5969240069389343": 142, "596kb": 134, "597": 142, "5970502495765686": 142, "5972389578819275": 142, "597259521484375": 142, "5973140597343445": 142, "5974127650260925": 142, "597541332244873": 142, "5975677371025085": 142, "5975927710533142": 142, "5975961089134216": 142, "5976729989051819": 142, "597683846950531": 142, "5977410674095154": 142, "597785472869873": 142, "5979489684104919": 142, "597kb": 134, "598": [132, 134, 157], "5980326533317566": 142, "598182737827301": 142, "5984310507774353": 142, "5984804034233093": 142, "5984957814216614": 142, "5985847115516663": 142, "598611056804657": 142, "5987083315849304": 142, "5987148880958557": 142, "5988151431083679": 142, "5988175868988037": 142, "5988282561302185": 142, "5988340973854065": 142, "598860263824463": 142, "5988728404045105": 142, "5989118218421936": 142, "5989179015159607": 142, "599": [132, 134, 157], "599031388759613": 142, "5990986227989197": 142, "599151": [147, 149], "5991570949554443": 142, "5992220044136047": 142, "5992839932441711": 142, "5993581414222717": 142, "599395751953125": 142, "59948557": [147, 149], "599556922912598": 142, "5996875762939453": 142, "599775791168213": 142, "5998265743255615": 142, "5998427867889404": 142, "599852561950684": 142, "5998530983924866": 142, "5999": 139, "5999700427055359": 142, "59e": 147, "59it": [134, 147], "59m": 134, "5ced8ea84584aa229d31e693e0fb090f": 129, "5g": 129, "5x": 129, "5x5": 153, "6": [9, 17, 32, 54, 55, 66, 67, 68, 79, 80, 81, 94, 97, 98, 99, 100, 101, 103, 107, 121, 122, 129, 132, 133, 134, 135, 138, 139, 140, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "60": [134, 147, 149, 156], "6000966429710388": 142, "600124": 142, "600125": 142, "6001619696617126": 142, "600240170955658": 142, "6002587676048279": 142, "6003022193908691": 142, "6003499031066895": 142, "6003971099853516": 142, "6004093289375305": 142, "6004216074943542": 142, "6006589531898499": 142, "600694179534912": 142, "6007449626922607": 142, "600763738155365": 142, "6007828116416931": 142, "6008705496788025": 142, "6008936762809753": 142, "6008970737457275": 142, "6008990406990051": 142, "6009554266929626": 142, "6009901165962219": 142, "6011281609535217": 142, "6012": 134, "6012477278709412": 142, "601253": 142, "6012678742408752": 142, "601285": 142, "601326": 142, "6013359427452087": 142, "6013805270195007": 142, "601409435272217": 142, "6015148758888245": 142, "6015207171440125": 142, "601550340652466": 142, "6016973853111267": 142, "6017801761627197": 142, "601820": 142, "601823": 142, "601833": 142, "601842": 142, "601848": 142, "601861": 142, "6019170880317688": 142, "6019506454467773": 142, "6019666194915771": 142, "60198974609375": 142, "6019959449768066": 142, "601kb": 134, "602": [132, 142, 147, 157], "6020092964172363": 142, "6020211577415466": 142, "6020217537879944": 142, "602062463760376": 142, "6020805835723877": 142, "6021027565002441": 142, "6022831797599792": 142, "6023049354553223": 142, "6025643348693848": 142, "6025728583335876": 142, "6026052832603455": 142, "6026127934455872": 142, "6026464104652405": 142, "6026603579521179": 142, "6027114987373352": 142, "6027136445045471": 142, "6027446389198303": 142, "602772235870361": 142, "602kb": 134, "603": 134, "6030966639518738": 142, "6031039357185364": 142, "6031345725059509": 142, "6031513214111328": 142, "6031814217567444": 142, "6032025814056396": 142, "6033": 147, "603304386138916": 142, "60333251953125": 142, "603347": 142, "6033859252929688": 142, "603520154953003": 142, "6036263108253479": 142, "6036326289176941": 142, "603640079498291": 142, "6036741137504578": 142, "6038051247596741": 142, "6038216948509216": 142, "6041610836982727": 142, "6041820645332336": 142, "604194700717926": 142, "604266166687012": 142, "6043040752410889": 142, "604318": 142, "604321": 142, "604325": 142, "6043849587440491": 142, "6044486165046692": 142, "6044511198997498": 142, "604463517665863": 142, "6044898629188538": 142, "604515552520752": 142, "604516": 142, "604537": 142, "604614794254303": 142, "6046248175002857e": 142, "604647": 142, "6047143340110779": 142, "6047226786613464": 142, "6047310829162598": 142, "6047530770301819": 142, "6048328280448914": 142, "6048408150672913": 142, "6048422455787659": 142, "604908": 142, "604910": 142, "604914": 142, "604928": [147, 149], "605": 142, "6050093173980713": 142, "6050198674201965": 142, "605027973651886": 142, "605028": 142, "605147659778595": 142, "6052362322807312": 142, "6052579283714294": 142, "605269193649292": 142, "6053879261016846": 142, "605485": 142, "6055192947387695": 142, "6055310368537903": 142, "605663": 142, "605696439743042": 142, "605735": 142, "6059932112693787": 142, "6059e": 148, "6060057282447815": 142, "6060149669647217": 142, "6061067581176758": 142, "6061404347419739": 142, "6062011122703552": 142, "606281578540802": 142, "6063300967216492": 142, "6063467860221863": 142, "6064079403877258": 142, "6064755320549011": 142, "606486976146698": 142, "606503": 142, "6065122485160828": 142, "6066257953643799": 142, "6067020893096924": 142, "6067659258842468": 142, "6067755222320557": 142, "6068453788757324": 142, "6068518757820129": 142, "6068639755249023": 142, "6069465279579163": 142, "6070873737335205": 142, "607111": 142, "607138": 142, "607139": 142, "607225": 142, "607230": 142, "6072342991828918": 142, "607267": 142, "607311": 151, "6073801517486572": 142, "6073855757713318": 142, "607409": 142, "607437": 142, "607450": 142, "6074523329734802": 142, "607475": 142, "6074952483177185": 142, "6075226664543152": 142, "6076183319091797": 142, "6076990962028503": 142, "607719361782074": 142, "607739448547363": 142, "6077635884284973": 142, "6077818274497986": 142, "607800006866455": 142, "607818": 142, "607926607131958": 142, "6079300045967102": 142, "6079585552215576": 142, "6079687476158142": 142, "6079795360565186": 142, "607990": 142, "608": 142, "6080600619316101": 142, "608072": 142, "608081": 142, "6081179976463318": 142, "608134": [147, 149], "6081912517547607": 142, "608314": 142, "6083686351776123": 142, "6083852648735046": 142, "6084651947021484": 142, "6084738373756409": 142, "6084826588630676": 142, "608516": 142, "608555": 142, "608623743057251": 142, "6086440682411194": 142, "608662": 142, "60874605178833": 142, "6088617444038391": 142, "608kb": 134, "609": 147, "6090630888938904": 142, "6090852618217468": 142, "6090e": 147, "6091157793998718": 142, "6092329621315002": 142, "6092485785484314": 142, "6093051433563232": 142, "6094091534614563": 142, "6095": 154, "6095730662345886": 142, "6095921993255615": 142, "6096737384796143": 142, "609715461730957": 142, "6097405552864075": 142, "6097528338432312": 142, "6097577214241028": 142, "6099140048027039": 142, "6099469065666199": 142, "6099607944488525": 142, "6099701523780823": 142, "609kb": 134, "60ac9f965f9589a3389483e3d1e58144": 129, "60e": 147, "60m": 134, "61": [134, 147, 149], "610": 142, "6100": 148, "6100199222564697": 142, "6100993752479553": 142, "6101003289222717": 142, "6101090908050537": 142, "610190": 142, "6102173924446106": 142, "6102375984191895": 142, "6102495193481445": 142, "6102682948112488": 142, "610451877117157": 142, "610491": 142, "6105087399482727": 142, "610517": 142, "6105179190635681": 142, "610522": 142, "610718250274658": 142, "610744": 142, "6107627749443054": 142, "6107718348503113": 142, "610785": [147, 149], "6108426451683044": 142, "6108449101448059": 142, "6108587384223938": 142, "6108946800231934": 142, "6108977198600769": 142, "610955": 142, "610972": 142, "611": 142, "6110779643058777": 142, "6111885905265808": 142, "6112077236175537": 142, "611219": 142, "6112869381904602": 142, "6112933158874512": 142, "61132287979126": 142, "6113379001617432": 142, "611341": 142, "6113777756690979": 142, "6113867163658142": 142, "6114166378974915": 142, "611552894115448": 142, "611639499664307": 142, "6117420196533203": 142, "611828804016113": 142, "611854612827301": 142, "6119188666343689": 142, "612": 142, "6120004653930664": 142, "6120038032531738": 142, "612056732177734": 142, "6121050715446472": 142, "612196147441864": 142, "612205505371094": 142, "6122276782989502": 142, "612247467041016": 142, "612273693084717": 142, "6122738718986511": 142, "6122784614562988": 142, "612387478351593": 142, "6124148964881897": 142, "6125544905662537": 142, "612701": 142, "612740": 142, "6127867698669434": 142, "6127949357032776": 142, "6128537058830261": 142, "612872838973999": 142, "6129167675971985": 142, "6129271388053894": 142, "612977504730225": 142, "613": 142, "613007": 144, "6130308508872986": 142, "6130447387695312": 142, "613146185874939": 142, "613162": 142, "6131632924079895": 142, "6131795048713684": 142, "6131839752197266": 142, "6132965087890625": 142, "6133": 154, "6133008003234863": 142, "613368570804596": 142, "6134445667266846": 142, "613518238067627": 142, "6135406494140625": 142, "613554000854492": 142, "6136894226074219": 142, "6137308478355408": 142, "6137760281562805": 142, "6138028502464294": 142, "613835334777832": 142, "6139610409736633": 142, "6139952540397644": 142, "613kb": 134, "6140796542167664": 142, "6142528653144836": 142, "6142674088478088": 142, "6142753958702087": 142, "6143664717674255": 142, "61440": 158, "614414": [147, 149], "6144528985023499": 142, "6144683957099915": 142, "614571750164032": 142, "614572": 142, "6146203875541687": 142, "6146332621574402": 142, "6146624684333801": 142, "6146638989448547": 142, "6146726012229919": 142, "6147515177726746": 142, "614872694015503": 142, "6149156093597412": 142, "6149366497993469": 142, "6149583458900452": 142, "6150771975517273": 142, "6151105761528015": 142, "6151401996612549": 142, "6152": 147, "6152012944221497": 142, "615202903747559": 142, "615262746810913": 142, "6152799129486084": 142, "6152961254119873": 142, "6153852939605713": 142, "6155628561973572": 142, "6155684590339661": 142, "6156331896781921": 142, "6157042384147644": 142, "6157606244087219": 142, "615821": 142, "6158633828163147": 142, "615987300872803": 142, "6160104274749756": 142, "616026": 142, "61604699": [147, 149], "6160796284675598": 142, "616080284118652": 142, "616204": 142, "6162219643592834": 142, "6162290573120117": 142, "616255": 142, "6163076758384705": 142, "6163120865821838": 142, "6163790225982666": 142, "616391181945801": 142, "616461": 142, "616481": 142, "6165103912353516": 142, "616512": 142, "616541385650635": 142, "6165589690208435": 142, "616559": 142, "6165805459022522": 142, "6165966391563416": 142, "616615": 142, "6166368126869202": 142, "616705596446991": 142, "6167807579040527": 142, "6168103814125061": 142, "6168221831321716": 142, "616866111755371": 142, "616884708404541": 142, "61688804626465": 142, "6169828772544861": 142, "616kb": 134, "6170502305030823": 142, "6170873045921326": 142, "6171123385429382": 142, "617133378982544": 142, "6171590685844421": 142, "6171762943267822": 142, "6172080039978027": 142, "6172258257865906": 142, "617291": 142, "617415428161621": 142, "617429256439209": 142, "6174632906913757": 142, "6175": 154, "617555618286133": 142, "617563009262085": 142, "6176127791404724": 142, "6176182627677917": 142, "6176218390464783": 142, "6176555752754211": 142, "6177871823310852": 142, "6178779006004333": 142, "6179015040397644": 142, "6179487109184265": 142, "6179677844047546": 142, "617kb": 134, "618": 142, "618084": 147, "6181296706199646": 142, "6181872487068176": 142, "618189811706543": 142, "618196964263916": 142, "618288278579712": 142, "6182907223701477": 142, "6182909607887268": 142, "618312835693359": 142, "6184040904045105": 142, "618412017822266": 142, "6185": 134, "6185293793678284": 142, "618690013885498": 142, "61881023645401": 142, "6188245415687561": 142, "618883": 142, "6189152598381042": 142, "618929": 142, "6189656853675842": 142, "618991": 142, "6190171241760254": 142, "619023323059082": 142, "619032": 142, "619071": 142, "6190e": 147, "6192225813865662": 142, "6192464232444763": 142, "619279": 142, "619347": 147, "619437217712402": 142, "619452476501465": 142, "6194574236869812": 142, "6195400357246399": 142, "6195545792579651": 142, "6195817589759827": 142, "6196414828300476": 142, "619668960571289": 142, "6196865439414978": 142, "6197302341461182": 142, "619738578796387": 142, "619757890701294": 142, "61981201171875": 142, "619858741760254": 142, "6198859214782715": 142, "6199": 139, "619905": 142, "6199941635131836": 142, "619kb": 134, "61e": 147, "61it": 134, "61m": 134, "62": [134, 147, 149, 153], "620": [132, 157], "620032": 142, "6200347542762756": 142, "6200814843177795": 142, "620086669921875": 142, "620190": 142, "6202231049537659": 142, "620245456695557": 142, "620271623134613": 142, "6202771663665771": 142, "6202972531318665": 142, "6203191876411438": 142, "6203232407569885": 142, "620369": 142, "6203781962394714": 142, "6203849911689758": 142, "6204111576080322": 142, "6204699873924255": 142, "620471": 142, "6205644607543945": 142, "620571": 142, "620603322982788": 142, "620606422424316": 142, "6207201480865479": 142, "620771884918213": 142, "6207969784736633": 142, "620812": 142, "6208315491676331": 142, "620871543884277": 142, "620906": 151, "6209363341331482": 142, "6209991574287415": 142, "620kb": 134, "62101811170578": 142, "6210501790046692": 142, "621079444885254": 142, "621084213256836": 142, "6211254000663757": 142, "621133327484131": 142, "62114143371582": 142, "6211519241333008": 142, "6211622357368469": 142, "621176": 142, "621201": [147, 149], "6212080121040344": 142, "621212482452393": 142, "6212937235832214": 142, "6212968826293945": 142, "621342420578003": 142, "621348": 142, "6213601231575012": 142, "6213741302490234": 142, "6214151978492737": 142, "6214268207550049": 142, "621466636657715": 142, "6215030550956726": 142, "621519088745117": 142, "621552467346191": 142, "621581": 142, "621624": 142, "6216819882392883": 142, "6218021512031555": 142, "6218721270561218": 142, "621925": 142, "6219452023506165": 142, "621960": 142, "6220363974571228": 142, "622053623199463": 142, "6221628785133362": 142, "622209": 142, "6222445368766785": 142, "622262954711914": 142, "6223547458648682": 142, "622360229492188": 142, "6223676800727844": 142, "6223678588867188": 142, "622375": 142, "6223866939544678": 142, "6223928928375244": 142, "622438669204712": 142, "622570": 142, "6226003766059875": 142, "6226769089698792": 142, "6226856708526611": 142, "6226951479911804": 142, "622719": 144, "622720718383789": 142, "622755": 142, "6227955222129822": 142, "622882068157196": 142, "6229271292686462": 142, "6229272484779358": 142, "623": 134, "6230561137199402": 142, "6230825781822205": 142, "623089": 142, "6230894923210144": 142, "6231209635734558": 142, "623134": 142, "623158931732178": 142, "6232121586799622": 142, "6232631802558899": 142, "6233715415000916": 142, "6233720779418945": 142, "6234875321388245": 142, "623506546020508": 142, "623511": 142, "6235161423683167": 142, "623535394668579": 142, "6236514449119568": 142, "6237101554870605": 142, "623729705810547": 142, "6237476468086243": 142, "6237483024597168": 142, "6237661242485046": 142, "623767614364624": 142, "623814": 142, "6238465905189514": 142, "6238970756530762": 142, "6239166259765625": 142, "62393856048584": 142, "623kb": 134, "624024391174316": 142, "6241552233695984": 142, "624190": 142, "6242080330848694": 142, "624218225479126": 142, "624221": 142, "624244689941406": 142, "624256134033203": 142, "6242993474006653": 142, "624345779418945": 142, "6244452595710754": 142, "624524116516113": 142, "6245467066764832": 142, "62455815076828": 142, "6245620846748352": 142, "6246955394744873": 142, "6248056888580322": 142, "6248316764831543": 142, "6248331665992737": 142, "6248369216918945": 142, "624877452850342": 142, "6249398589134216": 142, "6249470710754395": 142, "6249906420707703": 142, "624kb": 134, "6250712275505066": 142, "625075340270996": 142, "6250855326652527": 142, "6251454949378967": 142, "625173568725586": 142, "625217616558075": 142, "625248372554779": 142, "6253795623779297": 142, "625406265258789": 142, "6254145503044128": 142, "6255218386650085": 142, "625544548034668": 142, "625594139099121": 142, "6256062984466553": 142, "6256216168403625": 142, "6256463527679443": 142, "6256521344184875": 142, "625721454620361": 142, "6258357167243958": 142, "6258514523506165": 142, "6259170174598694": 142, "626026630401611": 142, "626053810119629": 142, "62612247467041": 142, "626135349273682": 142, "6261380314826965": 142, "6261623501777649": 142, "6261786818504333": 142, "626185953617096": 142, "6263744831085205": 142, "626409530639648": 142, "626457691192627": 142, "6264929175376892": 142, "6265504956245422": 142, "6265620589256287": 142, "62660551071167": 142, "6267498135566711": 142, "626767635345459": 142, "6267676949501038": 142, "6267817616462708": 142, "6268873810768127": 142, "6269512176513672": 142, "6269721984863281": 142, "626kb": 134, "627037525177002": 142, "627063751220703": 142, "6270690560340881": 142, "6271410584449768": 142, "627186298370361": 142, "6272440552711487": 142, "6272665858268738": 142, "6272786259651184": 142, "6273016929626465": 142, "6273038387298584": 142, "6273322105407715": 142, "6273770928382874": 142, "627397": 142, "6274388432502747": 142, "627439": 142, "6274538636207581": 142, "627474784851074": 142, "6275283694267273": 142, "62758731842041": 142, "627601": 142, "6276168823242188": 142, "6276220679283142": 142, "627630233764648": 142, "6276434063911438": 142, "6276467442512512": 142, "627652645111084": 142, "6277": 147, "6278632283210754": 142, "6278714537620544": 142, "627874374389648": 142, "6278753876686096": 142, "627kb": 134, "628": 142, "6280013918876648": 142, "6280298829078674": 142, "6281746029853821": 142, "6282069087028503": 142, "628352165222168": 142, "6283555626869202": 142, "6283609867095947": 142, "628419399261475": 142, "6284448504447937": 142, "628484725952148": 142, "6285497546195984": 142, "6285789608955383": 142, "6286098957061768": 142, "628726": 142, "62876558303833": 142, "628766": 142, "6287689208984375": 142, "628773": 142, "628822386264801": 142, "6288530713766913": 142, "6288530713766924": 142, "6288530826568604": 142, "6288543343544006": 142, "6289452910423279": 142, "6289615631103516": 142, "628979206085205": 142, "628kb": 134, "629": 134, "6290602684021": 142, "629070281982422": 142, "6290859580039978": 142, "6290868520736694": 142, "6291332840919495": 142, "6291410326957703": 142, "6292016506195068": 142, "6292527318000793": 142, "6293115019798279": 142, "6294929385185242": 142, "629570007324219": 142, "6295700669288635": 142, "6296038031578064": 142, "629644393920898": 142, "6296451687812805": 142, "6297407746315002": 142, "629753589630127": 142, "629817008972168": 142, "6298336386680603": 142, "62e": 147, "62it": 147, "62m": 134, "63": [134, 142, 147, 149, 153, 156], "630": 147, "6300320029258728": 142, "630039632320404": 142, "630050003528595": 142, "6300550103187561": 142, "6300809979438782": 142, "630094528198242": 142, "6301188468933105": 142, "6301798820495605": 142, "6302323937416077": 142, "6302456855773926": 142, "630321741104126": 142, "6303357481956482": 142, "6303401589393616": 142, "630345344543457": 142, "6304143071174622": 142, "63046932220459": 142, "6304850578308105": 142, "630528": 142, "6306726932525635": 142, "6306967735290527": 142, "6307": 144, "6307029724121094": 142, "6307225227355957": 142, "6307321190834045": 142, "6307947039604187": 142, "630851": 142, "6308510303497314": 142, "630875": 142, "630883": 142, "630885124206543": 142, "6309": 153, "6309841871261597": 142, "631": 142, "6310128569602966": 142, "6310181021690369": 142, "6310474276542664": 142, "631129801273346": 142, "631239414215088": 142, "6312491297721863": 142, "631267070770264": 142, "6312759518623352": 142, "6313225626945496": 142, "6313591003417969": 142, "631394863128662": 142, "631435871124268": 142, "631516933441162": 142, "6315459609031677": 142, "6315634846687317": 142, "6315796375274658": 142, "6315966248512268": 142, "631687164306641": 142, "6316897869110107": 142, "631760597229004": 142, "631784439086914": 142, "631862163543701": 142, "63187175989151": 142, "6319940686225891": 142, "6320489048957825": 142, "6321204304695129": 142, "6321268677711487": 142, "6322": 134, "632219": 142, "6322420239448547": 142, "632286": 142, "6323036551475525": 142, "632311": 142, "632319": 142, "632326": 142, "6323294639587402": 142, "632394": 142, "6324025988578796": 142, "632403": 142, "632413": 142, "6324413418769836": 142, "632442951202393": 142, "6324443221092224": 142, "6324760913848877": 142, "632502": 142, "6325222849845886": 142, "6325836181640625": 142, "6326189041137695": 142, "6326282620429993": 142, "632629930973053": 142, "632686": 142, "632692813873291": 142, "632693": 142, "632693350315094": 142, "6327196955680847": 142, "632781505584717": 142, "632787": 142, "632826805114746": 142, "6328372359275818": 142, "6329399943351746": 142, "6329866647720337": 142, "6329875588417053": 142, "632kb": 134, "6330309510231018": 142, "633045196533203": 142, "6330605149269104": 142, "6330673098564148": 142, "6331610679626465": 142, "6332184672355652": 142, "6333138942718506": 142, "633315086364746": 142, "633335828781128": 142, "6334183812141418": 142, "6334245800971985": 142, "6334478855133057": 142, "6335248947143555": 142, "633548736572266": 142, "6335775256156921": 142, "633791446685791": 142, "633824825286865": 142, "633825302124023": 142, "6338382363319397": 142, "6338908076286316": 142, "6339420676231384": 142, "6339614391326904": 142, "633965969085693": 142, "633kb": 134, "634": [142, 148], "6340686678886414": 142, "6340737342834473": 142, "634089946746826": 142, "6341111063957214": 142, "6341204047203064": 142, "6342676281929016": 142, "6342917084693909": 142, "63434362411499": 142, "6344090104103088": 142, "63442063331604": 142, "6344709992408752": 142, "634502410888672": 142, "6345154286387071e": 133, "6345704197883606": 142, "6345780491828918": 142, "6345956325531006": 142, "634613513946533": 142, "634615957736969": 142, "6346396803855896": 142, "634657": 142, "634663105010986": 142, "634663999080658": 142, "634676": 142, "6347066760063171": 142, "63477087020874": 142, "634855": 142, "634873390197754": 142, "6349334716796875": 142, "634958267211914": 142, "6349694132804871": 142, "634977": 142, "635": 142, "6350147128105164": 142, "635034561157227": 142, "635040760040283": 142, "635047912597656": 142, "6350622177124023": 142, "6350679397583008": 142, "6351260542869568": 142, "635142982006073": 142, "6351507306098938": 142, "6352664828300476": 142, "635281085968018": 142, "6353108286857605": 142, "6353525519371033": 142, "6354008316993713": 142, "635412693023682": 142, "635413": 142, "63542366027832": 142, "6354406476020813": 142, "635521301883273e": 142, "6356329917907715": 142, "6356509327888489": 142, "6357530951499939": 142, "635800838470459": 142, "635966777801514": 142, "63598108291626": 142, "636": [138, 148, 156], "636040210723877": 142, "636099100112915": 142, "636105": 142, "636115312576294": 142, "636134922504425": 142, "6361514925956726": 142, "6361700545530766e": 142, "6361825466156006": 142, "6362144947052002": 142, "636260986328125": 142, "636272430419922": 142, "636298179626465": 142, "636320": 142, "636328": 142, "636334": 142, "636368": 142, "6363763809204102": 142, "636388778686523": 142, "6364145278930664": 142, "6364240050315857": 142, "6364265084266663": 142, "6364274621009827": 142, "636432945728302": 142, "6364335417747498": 142, "636480987071991": 142, "6364812254905701": 142, "6364924311637878": 142, "636498": 142, "6365086436271667": 142, "636614": 142, "6366167068481445": 142, "6366472244262695": 142, "636672019958496": 142, "6367151141166687": 142, "636793315410614": 142, "6368138194084167": 142, "636819362640381": 142, "636838912963867": 142, "636867046356201": 142, "636870384216309": 142, "6368926167488098": 142, "636946": 142, "636954307556152": 142, "6370143294334412": 142, "637028157711029": 142, "6370373368263245": 142, "637052": 142, "6370612978935242": 142, "637134552001953": 142, "637135028839111": 142, "637194": 142, "6372095942497253": 142, "637222766876221": 142, "637232": 142, "637251": 142, "637255": 142, "637263": 142, "637292": 142, "6373204588890076": 142, "6373958587646484": 142, "6373e": 147, "6374011635780334": 142, "637422502040863": 142, "6374278664588928": 142, "6374390125274658": 142, "637441635131836": 142, "63756799697876": 142, "637614": 142, "637648344039917": 142, "637688159942627": 142, "6377308368682861": 142, "637736": 142, "637771": 142, "6377923488616943": 142, "6378107666969299": 142, "6378487944602966": 142, "637855529785156": 142, "637866": 142, "637918": 142, "637936592102051": 142, "637938499450684": 142, "637kb": 134, "638": 142, "638044357299805": 142, "638060569763184": 142, "638061": 142, "638096809387207": 142, "638104": 142, "638128280639648": 142, "6381655335426331": 142, "6381897330284119": 142, "6381937861442566": 142, "6382042765617371": 142, "6382710337638855": 142, "638289451599121": 142, "638293266296387": 142, "6383426785469055": 142, "6383824348449707": 142, "638476550579071": 142, "638480186462402": 142, "638485908508301": 142, "638634443283081": 142, "638676166534424": 142, "6386784911155701": 142, "638729": 142, "6387309432029724": 142, "6387669444084167": 142, "6387939453125": 142, "6388": 139, "638885974884033": 142, "638948440551758": 142, "638kb": 134, "6390936970710754": 142, "639094829559326": 142, "639102935791016": 142, "6391299366950989": 142, "6391316056251526": 142, "639139711856842": 142, "6393082737922668": 142, "6393724083900452": 142, "639401435852051": 142, "639474868774414": 142, "6395096182823181": 142, "6395159363746643": 142, "6395549774169922": 142, "6395944952964783": 142, "639659": 142, "6396641135215759": 142, "6396815180778503": 142, "639716625213623": 142, "639755": 142, "639789": 142, "639796733856201": 142, "6397989392280579": 142, "639805": 142, "6398162245750427": 142, "639820098876953": 142, "639824867248535": 142, "639853000640869": 142, "639874": 142, "6398827433586121": 142, "6398838758468628": 142, "6399": 153, "6399030685424805": 142, "6399067044258118": 142, "639910": 142, "639918565750122": 142, "6399841904640198": 142, "639988422393799": 142, "639kb": 134, "63e": 147, "63it": 138, "63m": 134, "64": [32, 132, 134, 139, 147, 149, 157], "640": 134, "640024": 142, "640041": 142, "640047": 142, "64005184173584": 142, "640151500701904": 142, "640158": 142, "640159": 142, "640163": 142, "640183448791504": 142, "640189": 142, "6402015686035156": 142, "6402042508125305": 142, "6402153968811035": 142, "640268802642822": 142, "640312": 142, "6403642296791077": 142, "6403758525848389": 142, "6403820514678955": 142, "6403864026069641": 142, "6403992176055908": 142, "640416": 142, "6404291987419128": 142, "6404320597648621": 142, "640522480010986": 142, "6405391097068787": 142, "640570163726807": 142, "6405798196792603": 142, "6406323313713074": 142, "640648365020752": 142, "64065408706665": 142, "640655994415283": 142, "6406755447387695": 142, "640708": 142, "6407501101493835": 142, "6407885551452637": 142, "640902042388916": 142, "6409717202186584": 142, "6409822106361389": 142, "6409831047058105": 142, "64099645614624": 142, "641": 142, "6410231590271": 142, "641074001789093": 142, "6410901546478271": 142, "6411060690879822": 142, "6411113142967224": 142, "6411497592926025": 142, "641167163848877": 142, "6412203907966614": 142, "641241073608398": 142, "641244888305664": 142, "6412692666053772": 142, "641323566436768": 142, "6413523554801941": 142, "6413766741752625": 142, "641398906707764": 142, "6414244174957275": 142, "6414270997047424": 142, "641443252563477": 142, "641509": 142, "641526": 142, "641563892364502": 142, "641573": 142, "641575": 142, "6415927410125732": 142, "641597747802734": 142, "641609191894531": 142, "6416546702384949": 142, "641865253448486": 142, "64190926": [147, 149], "64190926e": [147, 149], "64191198348999": 142, "641924": 142, "641931533813477": 142, "641932964324951": 142, "641937": 144, "641kb": 134, "642": [132, 157], "642073154449463": 142, "642080783843994": 142, "6420868039131165": 142, "6420869827270508": 142, "642102241516113": 142, "642185688018799": 142, "642190": 142, "642225444316864": 142, "6422293782234192": 142, "642239570617676": 142, "642261028289795": 142, "6422814726829529": 142, "6423072814941406": 142, "642331": 142, "6423493027687073": 142, "642448902130127": 142, "642497539520264": 142, "642512321472168": 142, "642512555378096": 142, "642512555378097": 142, "642512555378098": 142, "642512555378099": 142, "642542839050293": 142, "6425461769104": 142, "6425781846046448": 142, "642602264881134": 142, "6426107287406921": 142, "6426189541816711": 142, "642639636993408": 142, "642644": 142, "642659": 142, "6426694989204407": 142, "6427070498466492": 142, "642735": 142, "642736": 142, "6427760720252991": 142, "642821": 142, "6428306698799133": 142, "642845": 142, "642850399017334": 142, "6428783535957336": 142, "6428852081298828": 142, "6428987383842468": 142, "6429324746131897": 142, "642959117889404": 142, "6429618000984192": 142, "643001": 142, "643005": 142, "643006": 142, "643010": 142, "643017530441284": 142, "643022": 142, "6430461406707764": 142, "643063": 142, "643186092376709": 142, "643243": 142, "643245": 142, "643257": 142, "643260": 142, "643270": 142, "643273": 142, "643279": 142, "643309593200684": 142, "6433393955230713": 142, "6433601379394531": 142, "6434018015861511": 142, "6434107422828674": 142, "643432": [142, 147, 149], "6434759497642517": 142, "6435620188713074": 142, "6436272263526917": 142, "6436309218406677": 142, "643651": 142, "643697": 142, "643702": 142, "643706": 142, "6437232494354248": 142, "643727779388428": 142, "6438047289848328": 142, "6438466906547546": 142, "643905": 142, "643907": 142, "6439115405082703": 142, "643912": 142, "643923": 142, "643945": 142, "643982887268066": 142, "6439976096153259": 142, "644": [142, 156], "64400315284729": 142, "644009590148926": 142, "64401912689209": 142, "644026279449463": 142, "644062519073486": 142, "644078254699707": 142, "6440814137458801": 142, "6440843939781189": 142, "644112586975098": 142, "6441235542297363": 142, "64419412612915": 142, "644203": 142, "644218444824219": 142, "644229": 142, "644259": 142, "644280": 142, "644307": 142, "6443169713020325": 142, "644344806671143": 142, "6443774104118347": 142, "6443957686424255": 142, "644431": 142, "644448459148407": 142, "644483": 142, "644486": 142, "644494": 142, "644500": 142, "64452600479126": 142, "644534111022949": 142, "6445474028587341": 142, "6446012258529663": 142, "644686222076416": 142, "6447197794914246": 142, "644726753234863": 142, "644735813140869": 142, "6447415947914124": 142, "6447492241859436": 142, "6448140144348145": 142, "644838": 142, "644883": 142, "644909143447876": 142, "6449117064476013": 142, "644968032836914": 142, "644968509674072": 142, "645133972167969": 142, "645173966884613": 142, "6451e": 147, "645205974578857": 142, "6453020572662354": 142, "645373523235321": 142, "645374298095703": 142, "645387172698975": 142, "645491600036621": 142, "6454984545707703": 142, "6455385088920593": 142, "6455938816070557": 142, "6456329822540283": 142, "645646870136261": 142, "645712852478027": 142, "6457145810127258": 142, "645719": 142, "6457505822181702": 142, "6457602381706238": 142, "6458": 139, "6458267569541931": 142, "6458427309989929": 142, "645860195159912": 142, "645884037017822": 142, "6458945274353027": 142, "6459034085273743": 142, "6460227966308594": 142, "646029949188232": 142, "646039": 142, "6460466384887695": 142, "646050930023193": 142, "6460700631141663": 142, "6460785865783691": 142, "646102": 142, "6461109519004822": 142, "646113395690918": 142, "646117210388184": 142, "6462545990943909": 142, "646306037902832": 142, "646337985992432": 142, "6463448405265808": 142, "646348476409912": 142, "646453380584717": 142, "646507": 142, "6465070247650146": 142, "6465614438056946": 142, "64666348695755": 142, "646750": 142, "6467552781105042": 142, "6467926502227783": 142, "646824": 142, "6468388438224792": 142, "646850109100342": 142, "6468751430511475": 142, "646894931793213": 142, "6469468474388123": 142, "6469554901123047": 142, "647": 142, "647075176239014": 142, "647083282470703": 142, "6470872759819031": 142, "6470947265625": 142, "647104263305664": 142, "6471052169799805": 142, "647140979766846": 142, "6471543908119202": 142, "6471584439277649": 142, "647164": 142, "647219657897949": 142, "6472230553627014": 142, "6473237872123718": 142, "647381782531738": 142, "647390842437744": 142, "6474029421806335": 142, "6474127769470215": 142, "6474435329437256": 142, "647487223148346": 142, "647518634796143": 142, "6475188136100769": 142, "6475191712379456": 142, "647520542144775": 142, "647606": 142, "647667407989502": 142, "6476762294769287": 142, "647782802581787": 142, "6477983593940735": 142, "6478033661842346": 142, "6478848457336426": 142, "6478868126869202": 142, "647948265075684": 142, "6479536890983582": 142, "6479644775390625": 142, "6479759216308594": 142, "647kb": 134, "648": 142, "648013114929199": 142, "648121178150177": 142, "6481872200965881": 142, "6483100056648254": 142, "6483867764472961": 142, "6484244465827942": 142, "6485018134117126": 142, "6485398411750793": 142, "648559033870697": 142, "648603439331055": 142, "6486718654632568": 142, "6487271189689636": 142, "648731231689453": 142, "6487607359886169": 142, "6488351225852966": 142, "648893415927887": 142, "6489629149436951": 142, "6489775776863098": 142, "648kb": 134, "649": [138, 147], "6490183472633362": 142, "649033": 142, "6490911841392517": 142, "649104595184326": 142, "649118423461914": 142, "649147987365723": 142, "6492367386817932": 142, "6492714285850525": 142, "649311065673828": 142, "649320602416992": 142, "6493430137634277": 142, "6493750214576721": 142, "6493909955024719": 142, "6494094729423523": 142, "649419": 142, "649423599243164": 142, "649479": 142, "649517059326172": 142, "649530410766602": 142, "6495572924613953": 142, "649624347686768": 142, "649636268615723": 142, "6496450304985046": 142, "649702250957489": 142, "649751901626587": 142, "6499601006507874": 142, "649kb": 134, "64e": 147, "64it": [134, 138], "64m": 134, "65": [134, 138, 142, 147, 149, 156], "650003910064697": 142, "650075376033783": 142, "650134801864624": 142, "650135040283203": 142, "650335311889648": 142, "6503360867500305": 142, "650343418121338": 142, "6503587365150452": 142, "650406837463379": 142, "650442": 142, "6504621505737305": 142, "6504871249198914": 142, "6505125164985657": 142, "650513": 142, "6505162119865417": 142, "6505816578865051": 142, "6505972743034363": 142, "650620460510254": 142, "650649070739746": 142, "6506687998771667": 142, "6506900191307068": 142, "650716304779053": 142, "650747299194336": 142, "650786876678467": 142, "650869846343994": 142, "650kb": 134, "6510": 129, "6510159373283386": 142, "6510211825370789": 142, "651129245758057": 142, "6511353850364685": 142, "6513102650642395": 142, "6513291001319885": 142, "6514184474945068": 142, "651463270187378": 142, "6515433192253113": 142, "651582": 142, "6516172885894775": 133, "6516215801239014": 142, "6516639590263367": 142, "651665210723877": 142, "6516804695129395": 142, "6517817974090576": 142, "6517980098724365": 142, "651917457580566": 142, "6519470810890198": 142, "6519481539726257": 142, "6520001888275146": 142, "6521046757698059": 142, "6521501541137695": 142, "6521525979042053": 142, "652172565460205": 142, "6521883606910706": 142, "652194023132324": 142, "6522417068481445": 142, "6522815823554993": 142, "6522948145866394": 142, "6523130536079407": 142, "6523411273956299": 142, "6523486971855164": 142, "652350902557373": 142, "652381420135498": 142, "6524085998535156": 142, "6524509787559509": 142, "6524541974067688": 142, "6524648666381836": 142, "6524897217750549": 142, "652663": 142, "6527": 154, "6527023315429688": 142, "652715265750885": 142, "6527391076087952": 142, "6527643799781799": 142, "652808666229248": 142, "65288782119751": 142, "652917861938477": 142, "6529276967048645": 142, "6529616713523865": 142, "653": 138, "6530044674873352": 142, "653031826019287": 142, "6531029343605042": 142, "653120": 142, "653197288513184": 142, "6532667279243469": 142, "6532922387123108": 142, "65333890914917": 142, "653401792049408": 142, "6534039974212646": 142, "653454": 142, "6535260081291199": 142, "6536328792572021": 142, "6538593173027039": 142, "6538918614387512": 142, "6539234519004822": 142, "653981": 142, "654008": 142, "6540367603302002": 142, "6541110873222351": 142, "6541194319725037": 142, "65418004989624": 142, "65421199798584": 142, "654227256774902": 142, "6542768478393555": 142, "6543018221855164": 142, "6543076038360596": 142, "654459536075592": 142, "6545034050941467": 142, "6545493006706238": 142, "6546207070350647": 142, "6546724438667297": 142, "6546797156333923": 142, "6547305583953857": 142, "6547395586967468": 142, "6547651290893555": 142, "6548623442649841": 142, "6548833847045898": 142, "6548981666564941": 142, "654956": 142, "6549589037895203": 142, "6549878716468811": 142, "655": [134, 142], "655071258544922": 142, "6550953984260559": 142, "655101776123047": 142, "6551132798194885": 142, "655126094818115": 142, "655130386352539": 142, "6552610993385315": 142, "6552621722221375": 142, "6553242802619934": 142, "6553442478179932": 142, "6553654074668884": 142, "65537166595459": 142, "6554110050201416": 142, "655447006225586": 142, "6554597020149231": 142, "655461": 142, "6554633975028992": 142, "6555570960044861": 142, "6556835174560547": 142, "655852794647217": 142, "655854225158691": 142, "655918121337891": 142, "6559346318244934": 142, "6559641361236572": 142, "6559736132621765": 142, "656068801879883": 142, "6560695767402649": 142, "6561136841773987": 142, "6561570763587952": 142, "6561865210533142": 142, "656202793121338": 142, "6562374234199524": 142, "656253": 142, "6563054919242859": 142, "656306266784668": 142, "656424522399902": 142, "6564458012580872": 142, "656459808349609": 142, "656538963317871": 142, "656615": 142, "6567049622535706": 142, "6567193865776062": 142, "6567680835723877": 142, "6567901968955994": 142, "656932830810547": 142, "6569541096687317": 142, "656999588012695": 142, "6571171879768372": 142, "6571243405342102": 142, "6571782231330872": 142, "657191276550293": 142, "6572175025939941": 142, "6573102474212646": 142, "6575732827186584": 142, "657588481903076": 142, "6576693654060364": 142, "657675564289093": 142, "657681405544281": 142, "6577109694480896": 142, "6577348113059998": 142, "6577429175376892": 142, "6577592492103577": 142, "657769680023193": 142, "6577879786491394": 142, "6578263640403748": 142, "657916069030762": 142, "6579652428627014": 142, "65796644": [147, 149], "65796644025031": [147, 149], "6579710245132446": 142, "6579827666282654": 142, "658001184463501": 142, "6580164432525635": 142, "658026695251465": 142, "6580743193626404": 142, "6581781506538391": 142, "658212423324585": 142, "658253014087677": 142, "6583397388458252": 142, "6583417057991028": 142, "6583502292633057": 142, "6584293246269226": 142, "6584538817405701": 142, "658455848693848": 142, "6584667563438416": 142, "6588340401649475": 142, "658958435058594": 142, "6590502858161926": 142, "6591131687164307": 142, "65911865234375": 142, "6591379642486572": 142, "6591749787330627": 142, "659191131591797": 142, "6592513918876648": 142, "6593546867370605": 142, "6595156788825989": 142, "659590721130371": 142, "6595926880836487": 142, "6595938801765442": 142, "6596150994300842": 142, "6596331596374512": 142, "659637451171875": 142, "6596816182136536": 142, "6596898436546326": 142, "659752368927002": 142, "6597621440887451": 142, "6597931385040283": 142, "6597931981086731": 142, "65980520e": [147, 149], "6598919034004211": 142, "6599192023277283": 142, "65e": 147, "65it": [138, 147], "65m": 134, "66": [132, 134, 139, 142, 147, 149, 157], "660": 157, "6600565910339355": 142, "660078048706055": 142, "6601812839508057": 142, "6603098511695862": 142, "6603383421897888": 142, "6603613495826721": 142, "660388469696045": 142, "6604323387145996": 142, "6604e7130ea41fabff93c229af2486433093e3b4": 148, "6605045795440674": 142, "660569667816162": 142, "6606021523475647": 142, "6606259942054749": 142, "6606370806694031": 142, "6607548594474792": 142, "660892486572266": 142, "660943508148193": 142, "660kb": 134, "661": [142, 157], "6610557436943054": 142, "6610e": 148, "6612716317176819": 142, "6612740159034729": 142, "6612809300422668": 142, "661324679851532": 142, "661327064037323": 142, "661338147750939e": 142, "66135835647583": 142, "6613624095916748": 142, "6614089608192444": 142, "661435067653656": 142, "6614379286766052": 142, "661515": [147, 149], "6615583300590515": 142, "6616086363792419": 142, "6617886424064636": 142, "6618021130561829": 142, "6619422435760498": 142, "662": [142, 157], "662004470825195": 142, "6620249152183533": 142, "6620309948921204": 142, "6621193289756775": 142, "6621785759925842": 142, "6621900200843811": 142, "6622208952903748": 142, "6622411608695984": 142, "662250816822052": 142, "6623826622962952": 142, "662463665008545": 142, "6624838709831238": 142, "662549": 142, "6625509858131409": 142, "662563": 142, "662572": 142, "6627302169799805": 142, "662815": 142, "662817656993866": 142, "662823": 142, "662827730178833": 142, "6628289222717285": 142, "6628476977348328": 142, "6629133224487305": 142, "6629442572593689": 142, "6629886031150818": 142, "663": 157, "6630318760871887": 142, "6631233096122742": 142, "6631364822387695": 142, "6631412506103516": 142, "6631951332092285": 142, "6632868647575378": 142, "6634135246276855": 142, "6634240746498108": 142, "6634431481361389": 142, "6635": [147, 149], "663514137268066": 142, "663567304611206": 142, "6636232733726501": 142, "6636504530906677": 142, "6636772751808167": 142, "663708209991455": 142, "6638145446777344": 142, "6638227105140686": 142, "664": 157, "664033889770508": 142, "6640450954437256": 142, "6640577912330627": 142, "6640921684447676e": 142, "6642680168151855": 142, "6643002033233643": 142, "6643099784851074": 142, "664340078830719": 142, "6643633246421814": 142, "664368152618408": 142, "6643779277801514": 142, "66439437866211": 142, "6644108295440674": 142, "6644526124000549": 142, "6644580960273743": 142, "664522647857666": 142, "6645573973655701": 142, "664569854736328": 142, "6646427512168884": 142, "6646583080291748": 142, "6648168563842773": 142, "6648312211036682": 142, "6648569703102112": 142, "6648663878440857": 142, "664905846118927": 142, "6649147272109985": 142, "6649630069732666": 142, "665": [142, 157], "665039598941803": 142, "6650809645652771": 142, "6651481986045837": 142, "6653124690055847": 142, "6653192043304443": 142, "6653485894203186": 142, "6653586030006409": 142, "665389358997345": 142, "66559100151062": 142, "665595531463623": 142, "6656680703163147": 142, "6656823754310608": 142, "6658": 139, "6658708453178406": 142, "665kb": 134, "666": 157, "666018545627594": 142, "6660304069519043": 142, "6661243438720703": 142, "6661615967750549": 142, "666173458099365": 142, "6662662625312805": 142, "6663611531257629": 142, "6665343642234802": 142, "666539192199707": 142, "6666507124900818": 142, "6667601466178894": 142, "66678786277771": 142, "6668470501899719": 142, "666901171207428": 142, "6669668555259705": 142, "666kb": 134, "667": 157, "6670188307762146": 142, "6670425534248352": 142, "6670465469360352": 142, "6670863032341003": 142, "6671466827392578": 142, "667179107666016": 142, "667208194732666": 142, "667209804058075": 142, "6672258377075195": 142, "667294": 142, "6673724055290222": 142, "6673994064331055": 142, "66750168800354": 142, "6675437092781067": 142, "6675993800163269": 142, "667599618434906": 142, "667634963989258": 142, "667668342590332": 142, "6676722168922424": 142, "6677150130271912": 142, "6677677035331726": 142, "667846202850342": 142, "667887210845947": 142, "6679022908210754": 142, "668": 157, "6680242419242859": 142, "6682345271110535": 142, "668256938457489": 142, "668308675289154": 142, "6683358550071716": 142, "668351948261261": 142, "6683530211448669": 142, "66852569580078": 142, "6685701012611389": 142, "6686573624610901": 142, "6687247157096863": 142, "66876220703125": 142, "6688665747642517": 142, "6688994765281677": 142, "6689494252204895": 142, "669": [132, 157], "6691617965698242": 142, "6691727042198181": 142, "6692141890525818": 142, "6692478656768799": 142, "6692551970481873": 142, "669311": 142, "669325": 142, "669355": 142, "669387": 142, "669418": 142, "669436": 142, "669546": 142, "669554": 142, "669566": 142, "669575": 142, "6696012616157532": 142, "6696439385414124": 142, "669692": 142, "6697139739990234": 142, "669720": 142, "669735908508301": 142, "6697547435760498": 142, "6698169708251953": 142, "6698396801948547": 142, "6698587536811829": 142, "669890820980072": 142, "669913": 142, "669917": 142, "6699259877204895": 142, "6699271202087402": 142, "66acc5460a999625c3364f0f3bcca871": 129, "66df44121806debef6dc038df7115d1d": 129, "66e": 147, "66it": 147, "66m": 134, "66mb": 134, "67": [134, 142, 147, 149], "670": [132, 142, 157], "6700980067253113": 142, "670121967792511": 142, "6701374650001526": 142, "6701510548591614": 142, "67017126083374": 142, "6702659130096436": 142, "6702987551689148": 142, "6703119874000549": 142, "670313358306885": 142, "6703543066978455": 142, "6704182028770447": 142, "6704256534576416": 142, "6704805493354797": 142, "6706359386444092": 142, "6706810593605042": 142, "670689105987549": 142, "6707051396369934": 142, "6707550883293152": 142, "670947253704071": 142, "670954704284668": 142, "6709980964660645": 142, "671": 157, "6710440516471863": 142, "6710689663887024": 142, "6711680889129639": 142, "6712130904197693": 142, "6712446808815002": 142, "67126989364624": 142, "671426296234131": 142, "6714560389518738": 142, "671473": 147, "6714911460876465": 142, "671525": [147, 149], "671613693237305": 142, "671618640422821": 142, "6716340184211731": 142, "6716737747192383": 142, "6716883182525635": 142, "6716949939727783": 142, "6717045903205872": 142, "6718354821205139": 142, "6719633936882019": 142, "672": [142, 157], "6720125079154968": 142, "6721720099449158": 142, "6721872687339783": 142, "672194": 142, "672204": 142, "672216": 142, "672222": 142, "672232": 142, "672235": 142, "672241": 142, "672254": 142, "672256": 142, "672259": 142, "672265": 142, "6722676157951355": 142, "672273": 142, "672289": 142, "672313": 142, "672326": 142, "672335": 142, "672372": 142, "6723806858062744": 142, "672389": 142, "6724414229393005": 142, "6725810170173645": 142, "672645": 142, "6726503968238831": 142, "672652": 142, "672653": 142, "672654": 142, "672661": 142, "672677": 142, "672680": 142, "672689": 142, "672696": 142, "672706": 142, "6728119850158691": 142, "6728636622428894": 142, "6729537844657898": 142, "672kb": 134, "673": 157, "6730491518974304": 142, "673067331314087": 142, "6730827689170837": 142, "6732080578804016": 142, "673255": 142, "6733110547065735": 142, "6733843684196472": 142, "6733911633491516": 142, "6734347939491272": 142, "6734583377838135": 142, "6734719276428223": 142, "6735188364982605": 142, "6735909581184387": 142, "6735997200012207": 142, "6736080646514893": 142, "673633": 142, "673655": 142, "6736851334571838": 142, "6737286448478699": 142, "673767626285553": 142, "673824": 142, "6738360524177551": 142, "673851013183594": 142, "67390251159668": 142, "6739756464958191": 142, "674": 157, "6740490794181824": 142, "6741053462028503": 142, "6741815209388733": 142, "674242973327637": 142, "674310": 142, "6743237376213074": 142, "674328": 142, "674328804016113": 142, "674355": 142, "674456": 142, "674465": 142, "6744763255119324": 142, "6744878888130188": 142, "6744909882545471": 142, "674493": 142, "674514": 142, "6745241284370422": 142, "6745572090148926": 142, "6746079325675964": 142, "6746553778648376": 142, "6747153401374817": 142, "674781858921051": 142, "6747848987579346": 142, "6747872233390808": 142, "6748757362365723": 142, "674953": 142, "674984": 142, "674993": 142, "675": [142, 157], "675009": 142, "675022": 142, "6750304698944092": 142, "6750585436820984": 142, "675060": 142, "675066": 142, "6750819683074951": 142, "675101": 142, "675120": 142, "675124": 142, "675132": 142, "675137": 142, "675163": 142, "6751828789710999": 142, "6752015948295593": 142, "675208": 142, "6752284169197083": 142, "6752655506134033": 142, "6752749085426331": 142, "675287": 142, "675290": 142, "6753084659576416": 142, "675310": 142, "675325": 142, "675326": 142, "6753479838371277": 142, "675367": 142, "675374": 142, "675391": 142, "675452": 142, "675462": 142, "675476": 142, "675477": 142, "675510": 142, "675524": 142, "675525": 142, "675526": 142, "675531": 142, "6755316257476807": 142, "675543": 142, "675546": 142, "675553": 142, "675576": 142, "675577": 142, "675590": 142, "675614": 142, "675626": 142, "675628": 142, "675637": 142, "675644": 142, "675647": 142, "6756563186645508": 142, "675691": 142, "6757081151008606": 142, "675745": 142, "675748": 142, "675750": 142, "675781": 142, "675801": 142, "6758213639259338": 142, "675830": 142, "675880": 142, "6758880615234375": 142, "67589182": [147, 149], "67589182e": [147, 149], "675902": 142, "675920": 142, "675930": 142, "675954": 142, "675977": 142, "675989": 142, "6759966015815735": 142, "6759974360466003": 142, "676": [142, 157], "676038": 142, "676058": 142, "676076": 142, "676212728023529": 142, "6762142777442932": 142, "6762407422065735": 142, "676241": 142, "676250": 142, "676274": 142, "676284": 142, "6762987971305847": 142, "676329": 142, "676348": 142, "676349": 142, "676398": 142, "676402": 142, "6764102578163147": 142, "676437": 142, "6764718890190125": 142, "6764967441558838": 142, "6765": 154, "676540": 142, "676586": 142, "676609": 142, "6766178011894226": 142, "6766667366027832": 142, "676737": 142, "6767587065696716": 142, "6767835021018982": 142, "676799": 142, "676828": 142, "6768826842308044": 142, "6768984198570251": 142, "6769171357154846": 142, "676kb": 134, "677": [142, 157], "6770262122154236": 142, "6770472526550293": 142, "677072": 142, "6770864129066467": 142, "677093": 142, "677105": 142, "6771480441093445": 142, "6772057414054871": 142, "6772541403770447": 142, "6772589683532715": 142, "67740797996521": 142, "6774115562438965": 142, "6774559617042542": 142, "67758321762085": 142, "677609920501709": 142, "6776483654975891": 142, "677676260471344": 142, "677722156047821": 142, "6777568459510803": 142, "6777583956718445": 142, "6778221726417542": 142, "6778428554534912": 142, "6779525876045227": 142, "678": 157, "6780044436454773": 142, "6780204176902771": 142, "678079605102539": 142, "6781706213951111": 142, "6781765818595886": 142, "678227424621582": 142, "6783396601676941": 142, "6784073710441589": 142, "6785919070243835": 142, "6786210536956787": 142, "678642749786377": 142, "6788725852966309": 142, "6789467334747314": 142, "6790124773979187": 142, "679014265537262": 142, "6790544390678406": 142, "6790681481361389": 142, "6790964007377625": 142, "6791506409645081": 142, "6792792677879333": 142, "6793703436851501": 142, "679370403289795": 142, "6793789267539978": 142, "6793890595436096": 142, "679399311542511": 142, "6794096827507019": 142, "6795427799224854": 142, "679633140563965": 142, "67971658706665": 142, "6797394752502441": 142, "6797403693199158": 142, "67981481552124": 142, "67993688583374": 142, "6799582839012146": 142, "679983": 142, "679kb": 134, "67e": 147, "67it": 147, "67m": 134, "68": [132, 134, 139, 147, 149, 153, 157], "6801876425743103": 142, "6802119612693787": 142, "6802638173103333": 142, "6802771687507629": 142, "6802778840065002": 142, "6802794933319092": 142, "680339": 142, "6803651452064514": 142, "6804394721984863": 142, "6804473996162415": 142, "6804652810096741": 142, "6804883480072021": 142, "6805152297019958": 142, "680530": 142, "680555": 142, "680570": 142, "680576": 142, "6805782914161682": 142, "680639": 142, "680646": 142, "680675506591797": 142, "680677": 142, "6807215809822083": 142, "680731": 142, "680754": 142, "6807698607444763": 142, "6808047890663147": 142, "6808393597602844": 142, "6808491349220276": 142, "680850": 142, "6808916926383972": 142, "6809179782867432": 142, "6809728741645813": 142, "6810014247894287": 142, "6811304688453674": 142, "6812e": 147, "6813159584999084": 142, "6814159750938416": 142, "681419312953949": 142, "6815667152404785": 142, "6816461682319641": 142, "6816686987876892": 142, "6816725730895996": 142, "681690514087677": 142, "6817905902862549": 142, "6818230748176575": 142, "681911051273346": 142, "6819139122962952": 142, "6819844245910645": 142, "681992": 142, "682": 139, "6820074915885925": 142, "6821481585502625": 142, "6822262406349182": 142, "682263374328613": 142, "6823691725730896": 142, "6824541687965393": 142, "682523250579834": 142, "6825401186943054": 142, "6825404763221741": 142, "6825933456420898": 142, "6826344132423401": 142, "6826348900794983": 142, "6828117966651917": 142, "6828405261039734": 142, "6828927993774414": 142, "6829195022583008": 142, "6829537749290466": 142, "6829936504364014": 142, "682d8a6b05ca5948b34dc5e5f6bbcd61": 129, "6830286383628845": 142, "6831719875335693": 142, "6832218170166": 142, "683238685131073": 142, "6833608746528625": 142, "6834819912910461": 142, "683510959148407": 142, "6835176944732666": 142, "6835644245147705": 142, "6835790276527405": 142, "6836665272712708": 142, "6836742758750916": 142, "683696448802948": 142, "683742105960846": 142, "683801174163818": 142, "6838570237159729": 142, "6839738488197327": 142, "6840088963508606": 142, "684021": 142, "6840307116508484": 142, "6840364933013916": 142, "6840627789497375": 142, "684078693389893": 142, "684097752440721e": 142, "6841123700141907": 142, "6841852068901062": 142, "6841950416564941": 142, "68427973985672": 142, "6843811869621277": 142, "6844167113304138": 142, "6844882369041443": 142, "684560": 142, "684602": 142, "684609": 142, "684638": 142, "684640": 142, "684650": 142, "6846687197685242": 142, "684675": 142, "684690": 142, "684710": 142, "684731": 142, "684744": 142, "6847906708717346": 142, "684798": 142, "684799": 142, "684844732284546": 142, "684898": 142, "684903": 142, "684969": 142, "684989": 142, "685022": 142, "6850407719612122": 142, "685048": 142, "685050": 142, "6850890517234802": 142, "6851": [147, 149], "685107": 142, "6851181387901306": 142, "685120": 142, "685124": 142, "685146": 142, "685149": 142, "685155": 142, "6852": 147, "6852180361747742": 142, "6852418780326843": 142, "6853633522987366": 142, "6854707598686218": 142, "6855268478393555": 142, "685605": 142, "685607": 142, "6856431365013123": 142, "6856505870819092": 142, "685717761516571": 142, "6857475638389587": 142, "6857492327690125": 142, "685928": 142, "685941": 142, "685956": 142, "6859659552574158": 142, "6859683990478516": 142, "685969": 142, "6859765648841858": 142, "685980": 142, "685kb": 134, "686": 132, "686056": 142, "6860755085945129": 142, "6861206889152527": 142, "686124563217163": 142, "6861531138420105": 142, "6861631870269775": 142, "686210572719574": 142, "6863121390342712": 142, "6863297820091248": 142, "6864": 154, "6864017844200134": 142, "6864121556282043": 142, "6864643692970276": 142, "686717": 142, "6867786049842834": 142, "6869568228721619": 142, "686960220336914": 142, "687": 151, "6870254874229431": 142, "6871016621589661": 142, "6871277689933777": 142, "6872707009315491": 142, "68729567527771": 142, "6873224377632141": 142, "6873310208320618": 142, "687454879283905": 142, "6874589920043945": 142, "6875512599945068": 142, "6875789761543274": 142, "687582790851593": 142, "6876452565193176": 142, "6876701712608337": 142, "6877": 130, "6877798438072205": 142, "687817394733429": 142, "6878321170806885": 142, "6878499984741": 134, "6879191994667053": 142, "6879900097846985": 142, "6880826354026794": 142, "6880922913551331": 142, "6881316304206848": 142, "6882002353668213": 142, "6882205605506897": 142, "6882212162017822": 142, "688393592834473": 142, "6883965134620667": 142, "6883969902992249": 142, "6884163022041321": 142, "6885227560997009": 142, "6885602474212646": 142, "68861968384": 158, "688713788986206": 142, "6887609362602234": 142, "6888360381126404": 142, "6888432502746582": 142, "688864529132843": 142, "6888719201087952": 142, "688891589641571": 142, "6888934969902039": 142, "6889217495918274": 142, "6889901161193848": 142, "6890316009521484": 142, "6891441941261292": 142, "6892159581184387": 142, "6892310976982117": 142, "6893248558044434": 142, "6893675327301025": 142, "6895647048950195": 142, "6898155808448792": 142, "6898240447044373": 142, "6899": 153, "6899293065071106": 142, "6899322867393494": 142, "6899357438087463": 142, "68e": 147, "68it": [134, 147], "68m": 134, "69": [129, 134, 147, 149], "690": 142, "6900033950805664": 142, "6901031136512756": 142, "6901182532310486": 142, "690136730670929": 142, "6902264952659607": 142, "6902427077293396": 142, "690277338027954": 142, "6904452443122864": 142, "6904650330543518": 142, "6904799342155457": 142, "6905049681663513": 142, "6905110478401184": 142, "6905169486999512": 142, "6905412673950195": 142, "6906": 134, "6906419396400452": 142, "6907457709312439": 142, "6907554268836975": 142, "690760": 142, "690772": 142, "690785": 142, "690794": 142, "690799": 142, "690821647644043": 142, "6909658312797546": 142, "690kb": 134, "691": 142, "6910360455513": 142, "6910529732704163": 142, "6911072134971619": 142, "6911563873291016": 142, "6911987662315369": 142, "6912274956703186": 142, "6912856698036194": 142, "6913": 142, "6913550496101379": 142, "6913785338401794": 142, "6914": 142, "6914508938789368": 142, "69156837463379": 142, "691620": 144, "691634476184845": 142, "6916709542274475": 142, "691700279712677": 142, "691751480102539": 142, "691781997680664": 142, "6917871832847595": 142, "6918411254882812": 142, "691862165927887": 142, "6919": 142, "691kb": 134, "6920110583305359": 142, "692038059234619": 142, "6920469403266907": 142, "692112386226654": 142, "6921165585517883": 142, "692131757736206": 142, "692150115966797": 142, "692232131958008": 142, "6922666430473328": 142, "692344605922699": 142, "6924106478691101": 142, "6924819946289062": 142, "6926": 142, "6926314234733582": 142, "6926636099815369": 142, "6927946209907532": 142, "6928197741508484": 142, "6929979920387268": 142, "6930": 147, "693044126033783": 142, "6931": 142, "693128228187561": 142, "6932159066200256": 142, "6932663321495056": 142, "6932967305183411": 142, "6933": 142, "6933722496032715": 142, "6934365630149841": 142, "693449079990387": 142, "6935072541236877": 142, "6935334205627441": 142, "6936075687408447": 142, "6936153769493103": 142, "693706214427948": 142, "693787097930908": 142, "6938": 142, "6938214898109436": 142, "6938815116882324": 142, "693886935710907": 142, "6939404606819153": 142, "6939464211463928": 142, "6939598917961121": 142, "693kb": 134, "694": 142, "6940283179283142": 142, "6941660046577454": 142, "6942470669746399": 142, "6944288611412048": 142, "6945019364356995": 142, "694509506225586": 142, "6945136189460754": 142, "6945639252662659": 142, "6946024298667908": 142, "6946414113044739": 142, "6948416233062744": 142, "6948475241661072": 142, "6948626041412354": 142, "6949033737182617": 142, "695": 142, "6950159668922424": 142, "6951243877410889": 142, "6951258778572083": 142, "6951361298561096": 142, "6951834559440613": 142, "6952202916145325": 142, "6952647566795349": 142, "6953": 142, "6953216195106506": 142, "6953402161598206": 142, "6954": 142, "6954168677330017": 142, "6954185962677002": 142, "6954538226127625": 142, "6954630017280579": 142, "6956130862236023": 142, "695650339126587": 142, "6957157254219055": 142, "6957460045814514": 142, "6957667469978333": 142, "695850": 142, "6958591341972351": 142, "6958720088005066": 142, "6959": 142, "6959075331687927": 142, "695998": 142, "696": 134, "6961": 142, "696114": 142, "6961336731910706": 142, "6961638927459717": 142, "696216": 142, "6962427496910095": 142, "6962723135948181": 142, "6965529918670654": 142, "696563482284546": 142, "6965790390968323": 142, "6966082453727722": 142, "696673": 142, "696797788143158": 142, "696804": 142, "696805": 142, "6968169808387756": 142, "6968280673027039": 142, "696867": 142, "6969": 142, "6969254612922668": 142, "6969426274299622": 142, "696969": 142, "6969781517982483": 142, "696983": 142, "6970457434654236": 142, "697075": 142, "697076": 142, "697096": 142, "6971152424812317": 142, "697126": 142, "697135": 142, "697139": 142, "697144": 142, "697179": 142, "6971989274024963": 142, "6972466111183167": 142, "6973": 142, "69746208190918": 142, "6974783539772034": 142, "6975558400154114": 142, "697575": 142, "6975903511047363": 142, "6976353526115417": 142, "6977207660675049": 142, "6979041695594788": 142, "697977": 142, "6979858875274658": 142, "6980": 142, "6980100274085999": 142, "698032": 142, "6980631947517395": 142, "6981108784675598": 142, "6981695294380188": 142, "6981860995292664": 142, "6982101798057556": 142, "6982244849205017": 142, "698257446289062": 142, "6983036398887634": 142, "698366165161133": 142, "6984": 142, "6984099745750427": 142, "6984860301017761": 142, "6985": 142, "6985493302345276": 142, "698564052581787": 142, "6985659003257751": 142, "6986": 142, "6986135840415955": 142, "6986773610115051": 142, "6986951231956482": 142, "6987": 142, "6988398432731628": 142, "6988417506217957": 142, "6988560557365417": 142, "6988909244537354": 142, "6989343166351318": 142, "699": 134, "6990852952003479": 142, "6992375254631042": 142, "6993606686592102": 142, "69937664270401": 142, "6995334029197693": 142, "6995407938957214": 142, "699615240097046": 142, "6997871398925781": 142, "6999379992485046": 142, "6999539732933044": 142, "6999576687812805": 142, "699985682964325": 142, "6999984383583069": 142, "69e": 147, "69it": 147, "69m": 134, "6a": 147, "6b": 152, "6ffa903a62d8ec3319ecec6a03b06276": 129, "6g": 129, "6it": 134, "7": [32, 66, 79, 94, 99, 132, 133, 134, 142, 144, 147, 149, 151, 153, 154, 156, 157], "70": [134, 141, 142, 147, 149], "700": 142, "7000275254249573": 142, "7001232504844666": 142, "7003565430641174": 142, "7003819942474365": 142, "700405478477478": 142, "7004786729812622": 142, "7005296349525452": 142, "7005835175514221": 142, "7006733417510986": 142, "7007": 142, "7007455229759216": 142, "700762927532196": 142, "7007e": 147, "700834326e789a6e38bf3922d9fcb792": 129, "7008628845214844": 142, "7008786797523499": 142, "7008882164955139": 142, "700925350189209": 142, "7009270787239075": 142, "700985749818425": 142, "700985749818426": 142, "700985908508301": 142, "700986385345459": 142, "7010042071342468": 142, "7010437846183777": 142, "7010614275932312": 142, "7010741233825684": 142, "7011378407478333": 142, "701210": 153, "7013046145439148": 142, "7013550400733948": 142, "7014403939247131": 142, "701552152633667": 142, "7015835642814636": 142, "7016273140907288": 142, "7016441822052002": 142, "7016481757164001": 142, "7016529440879822": 142, "7016769051551819": 142, "7016e": 147, "7017": 142, "701704740524292": 142, "7017970681190491": 142, "7018886208534241": 142, "7019402384757996": 142, "702": 134, "7020263671875": 142, "702071666717529": 142, "7021132111549377": 142, "7021750807762146": 142, "7022": 142, "7022344470024109": 142, "7023118138313293": 142, "702312": [147, 149], "702331006526947": 142, "7024394869804382": 142, "7024891376495361": 142, "7025418877601624": 142, "7025620341300964": 142, "7025749087333679": 142, "7026776671409607": 142, "7026777863502502": 142, "7028258442878723": 142, "7028954029083252": 142, "7029728889465332": 142, "7029814720153809": 142, "702kb": 134, "7030508518218994": 142, "7031140923500061": 142, "7031640410423279": 142, "7032": 142, "7032009959220886": 142, "703296959400177": 142, "7033025622367859": 142, "7033054232597351": 142, "7033429741859436": 142, "7033696174621582": 142, "7034295201301575": 142, "703449547290802": 142, "703471839427948": 142, "703524649143219": 142, "703527": 142, "7035722136497498": 142, "703693687915802": 142, "7038": 142, "7038068771362305": 142, "7038246989250183": 142, "7038740515708923": 142, "7039574980735779": 142, "7039676308631897": 142, "7039969563484192": 142, "703kb": 134, "7040772438049316": 142, "7041704654693604": 142, "7042646408081055": 142, "7042701244354248": 142, "704594075679779": 142, "7046429514884949": 142, "7046827673912048": 142, "7047354578971863": 142, "7047409415245056": 142, "704845666885376": 142, "7049008011817932": 142, "7049636244773865": 142, "7049891352653503": 142, "7050634026527405": 142, "7050890326499939": 142, "7051": 142, "7051029205322266": 142, "70518159866333": 142, "7052351832389832": 142, "7052635550498962": 142, "7052766680717468": 142, "705302": 153, "7054463028907776": 142, "7057191729545593": 142, "7058989405632019": 142, "7059264779090881": 142, "7059268355369568": 142, "705963134765625": 142, "7059926986694336": 142, "706065833568573": 142, "7060711979866028": 142, "706081211566925": 142, "7061017155647278": 142, "7061815857887268": 142, "7062204480171204": 142, "7062491774559021": 142, "706272": 142, "7062981724739075": 142, "7063136696815491": 142, "706367552280426": 142, "706531": 142, "7066": 142, "7066479325294495": 142, "7066548466682434": 142, "7066691517829895": 142, "7067": 142, "7067469954490662": 142, "7067558169364929": 142, "7068": 142, "7069475054740906": 142, "7069900035858154": 142, "7069982886314392": 142, "7070": [142, 147], "7071428894996643": 142, "7072222232818604": 142, "7072352766990662": 142, "7072609066963196": 142, "707275390625": 142, "707362949848175": 142, "7074709534645081": 142, "7074804902076721": 142, "707484245300293": 142, "707524": 153, "7075307965278625": 142, "7077": 142, "7077456116676331": 142, "707836": 142, "7078811526298523": 142, "7079861164093018": 142, "708": 133, "7080615162849426": 142, "708271324634552": 142, "70834881067276": 142, "7083558440208435": 142, "7083670496940613": 142, "7084": 142, "7084808349609375": 142, "7084963917732239": 142, "7085": 134, "7085630893707275": 142, "7086": 142, "7086367011070251": 142, "7086711525917053": 142, "7086923122406006": 142, "7087113261222839": 142, "7088303565979004": 142, "7088330388069153": 142, "708862066268921": 142, "7088678479194641": 142, "7088823914527893": 142, "7089012265205383": 142, "7089552283287048": 142, "709": 133, "7090253829956055": 142, "7091221213340759": 142, "7091653943061829": 142, "7091832160949707": 142, "7092": 142, "7092716693878174": 142, "7093556523323059": 142, "7093639969825745": 142, "70937579870224": 142, "709445059299469": 142, "7094932198524475": 142, "7095521092414856": 142, "7096738815307617": 142, "7097547650337219": 142, "7099111080169678": 142, "7099218368530273": 142, "7099676728248596": 142, "7099780440330505": 142, "70e": 147, "70it": 147, "70m": 134, "70mb": 134, "71": [132, 134, 142, 147, 149, 157], "710": 133, "7100072503089905": 142, "7100558280944824": 142, "7100695967674255": 142, "7101": 147, "7101259827613831": 142, "7101585268974304": 142, "7102640271186829": 142, "7102829813957214": 142, "710304319858551": 142, "710390329360962": 142, "7104083895683289": 142, "7104982733726501": 142, "71066814661026": 142, "710676372051239": 142, "7106778621673584": 142, "710728ad": 142, "7108179926872253": 142, "7108660340309143": 142, "7108702659606934": 142, "710kb": 134, "711": 133, "7110022902488708": 142, "7110851407051086": 142, "7111234664916992": 142, "7112539410591125": 142, "7113": 142, "7113578915596008": 142, "7114110589027405": 142, "7115086913108826": 142, "7116": 142, "7116069197654724": 142, "7116507887840271": 142, "7117387652397156": 142, "7117659449577332": 142, "7117958664894104": 142, "7118156552314758": 142, "7118554711341858": 142, "7118741869926453": 142, "711912214756012": 142, "7119320034980774": 142, "7119625210762024": 142, "712": [138, 142], "7120": 144, "7120913863182068": 142, "712322235107422": 142, "7123515605926514": 142, "7124700546264648": 142, "7125465273857117": 142, "7125533223152161": 142, "7125619053840637": 142, "7126": 142, "7127843499183655": 142, "7128484845161438": 142, "7128800749778748": 142, "7129105925559998": 142, "7129482626914978": 142, "713": [138, 142], "7131132483482361": 142, "7132540345191956": 142, "7132852673530579": 142, "713295042514801": 142, "713311493396759": 142, "7133347392082214": 142, "7134036421775818": 142, "7134039998054504": 142, "713466167449951": 142, "713512659072876": 142, "7135576605796814": 142, "7135920524597168": 142, "713592529296875": 142, "713675320148468": 142, "7137": 139, "7137306332588196": 142, "713kb": 134, "714": [138, 142], "7140": 142, "7140201926231384": 142, "7140228152275085": 142, "7140514254570007": 142, "7140960097312927": 142, "7140973210334778": 142, "7142579555511475": 142, "7142671942710876": 142, "7143552899360657": 142, "7144050002098083": 142, "7144654393196106": 142, "7144731879234314": 142, "7145410180091858": 142, "71458646": [147, 149], "71458646e": [147, 149], "7147272229194641": 142, "714778482913971": 142, "7148547768592834": 142, "7149321436882019": 142, "715": [138, 142], "7150280475616455": 142, "7151125073432922": 142, "715121746063232": 142, "7151278853416443": 142, "715162992477417": 142, "7152209877967834": 142, "7152528166770935": 142, "7152733206748962": 142, "7153094410896301": 142, "71541690826416": 142, "7156252264976501": 142, "7156336903572083": 142, "715656280517578": 142, "7157368659973145": 142, "7157590985298157": 142, "7158229947090149": 142, "715831995010376": 142, "7158742547035217": 142, "7158785462379456": 142, "716": 138, "7161017060279846": 142, "7161527276039124": 142, "716162919998169": 142, "7162": 142, "7162298560142517": 142, "7162459492683411": 142, "7162696719169617": 142, "7162757515907288": 142, "7162830829620361": 142, "7165120244026184": 142, "7165290713310242": 142, "7165598273277283": 142, "716644287109375": 142, "7166703343391418": 142, "7167033553123474": 142, "716724395751953": 142, "71673184633255": 142, "7167481780052185": 142, "7169014811515808": 142, "7169163227081299": 142, "7171009182929993": 142, "717193841934204": 142, "7172567248344421": 142, "7173": 142, "7173544764518738": 142, "7173587679862976": 142, "7173917293548584": 142, "7174056172370911": 142, "7174628376960754": 142, "717473566532135": 142, "7175031304359436": 142, "7175280451774597": 142, "717582": 153, "7176110148429871": 142, "7176318168640137": 142, "7176459431648254": 142, "717700183391571": 142, "717717707157135": 142, "717724084854126": 142, "7178005576133728": 142, "71796226501465": 133, "7179925441741943": 142, "7179e": 147, "718": [142, 147], "7182738184928894": 142, "718346893787384": 142, "7183739542961121": 142, "7184612154960632": 142, "7185044288635254": 142, "7185668349266052": 142, "7185699343681335": 142, "7186008095741272": 142, "7186355590820312": 142, "7186729311943054": 142, "7186980247497559": 142, "7187": 142, "7187843322753906": 142, "7187919616699219": 142, "718873918056488": 142, "7188804745674133": 142, "7189050316810608": 142, "7189940810203552": 142, "719": 138, "7190329432487488": 142, "7191": 142, "719156742095947": 142, "7192": 142, "7192087769508362": 142, "7192573547363281": 142, "7193203568458557": 142, "7193521857261658": 142, "719371795654297": 142, "7194049954414368": 142, "71940803527832": 142, "7195715308189392": 142, "7195919156074524": 142, "7196404337882996": 142, "719655454158783": 142, "719740092754364": 142, "7197866439819336": 142, "7198": 142, "719855546951294": 142, "7198556065559387": 142, "719kb": 134, "71e": 147, "71g": 130, "71it": 138, "71m": 134, "72": [134, 138, 139, 142, 147, 149, 157], "7200294137001038": 142, "7200612425804138": 142, "7200751900672913": 142, "7201738357543945": 142, "7201855778694153": 142, "720256507396698": 142, "7202571034431458": 142, "7202830910682678": 142, "7203672528266907": 142, "7203921675682068": 142, "720396101474762": 142, "720410168170929": 142, "7205235958099365": 142, "72054672241211": 142, "7205825448036194": 142, "7206242084503174": 142, "7207179069519043": 142, "7207397818565369": 142, "7208523154258728": 142, "7209057807922363": 142, "7209621071815491": 142, "720963716506958": 142, "720971": 153, "720kb": 134, "721": 138, "7211622595787048": 142, "721229553222656": 142, "7213364243507385": 142, "7214733958244324": 142, "7215360999107361": 142, "721582": 142, "721592366695404": 142, "7216333746910095": 142, "7216632962226868": 142, "721699059009552": 142, "7217296957969666": 142, "7217503190040588": 142, "7218188643455505": 142, "7218926548957825": 142, "7219": 142, "721980333328247": 142, "7220105528831482": 142, "7221": 142, "7221053242683411": 142, "7221223711967468": 142, "7221423983573914": 142, "7223": 142, "7225777506828308": 142, "7226": 142, "7226781249046326": 142, "7227429747581482": 142, "7228942513465881": 142, "722944736480713": 142, "723": 145, "7230458855628967": 142, "7230470776557922": 142, "7230820059776306": 142, "7231035828590393": 142, "7231224179267883": 142, "7231535911560059": 142, "7232441306114197": 142, "7233495116233826": 142, "7233689427375793": 142, "7233826518058777": 142, "7233918309211731": 142, "7233956456184387": 142, "7234": 142, "7234165668487549": 142, "7234301567077637": 142, "72355055809021": 142, "7236184477806091": 142, "7236230969429016": 142, "7236545085906982": 142, "7238348126411438": 142, "723862": 144, "7238922715187073": 142, "72394198179245": 142, "7239428162574768": 142, "7239639163017273": 142, "7239721417427063": 142, "72399424": 151, "7240745425224304": 142, "724076747894287": 142, "7240934371948242": 142, "7242020964622498": 142, "7244229912757874": 142, "7244303822517395": 142, "7245079874992371": 142, "7245870232582092": 142, "7246641516685486": 142, "7248589396476746": 142, "7248634696006775": 142, "724941730499268": 142, "724956214427948": 142, "7249730229377747": 142, "725": 138, "7250": 142, "7250122427940369": 142, "7250311970710754": 142, "7250831127166748": 142, "7251309752464294": 142, "7251766324043274": 142, "7252843976020813": 142, "7253357768058777": 142, "7256595492362976": 142, "7257519364356995": 142, "7257824540138245": 142, "7258186936378479": 142, "725836455821991": 142, "725928": [147, 149], "725kb": 134, "726": 138, "7260": 142, "7260923981666565": 142, "7261154651641846": 142, "7261418700218201": 142, "7261452078819275": 142, "7261510491371155": 142, "7262": 142, "7262176871299744": 142, "7262960076332092": 142, "7263": 142, "7263113856315613": 142, "726316213607788": 142, "7263340353965759": 142, "7266345024108887": 142, "7266600728034973": 142, "726688802242279": 142, "7267034649848938": 142, "7267174124717712": 142, "7267550826072693": 142, "7267553806304932": 142, "7267804145812988": 142, "7268403172492981": 142, "7268907427787781": 142, "726891040802002": 142, "726991593837738": 142, "7270031571388245": 142, "7270450592041016": 142, "7270707488059998": 142, "72711181640625": 142, "7271196246147156": 142, "727186679840088": 142, "7272118926048279": 142, "7272235751152039": 142, "7273": 142, "7273554801940918": 142, "72739601135254": 142, "7274451851844788": 142, "7274826169013977": 142, "7274995446205139": 142, "7276138663291931": 142, "727647304534912": 142, "7276818156242371": 142, "7277": [142, 154], "7277830243110657": 142, "7277918457984924": 142, "7278388142585754": 142, "728": 133, "7280": 142, "7282143235206604": 142, "7282772660255432": 142, "7283689975738525": 142, "7283729910850525": 142, "7283762097358704": 142, "728389322757721": 142, "7283923625946045": 142, "7284114956855774": 142, "7284217476844788": 142, "7285": 142, "7286073565483093": 142, "7286968231201172": 142, "7288020253181458": 142, "728881597518921": 142, "7289": 142, "7289149165153503": 142, "729": [133, 142], "7290506958961487": 142, "7291": 142, "729151964187622": 142, "7292391657829285": 142, "7292453646659851": 142, "7292477488517761": 142, "7292659878730774": 142, "729267120361328": 142, "7293245196342468": 142, "7293633818626404": 142, "7294159531593323": 142, "7294556498527527": 142, "7294846177101135": 142, "7294909954071045": 142, "7295": 142, "7296095490455627": 142, "7296693921089172": 142, "7297771573066711": 142, "729907512664795": 142, "7299299836158752": 142, "72e": 147, "72it": [134, 138], "72m": 134, "73": [132, 134, 147, 149, 157], "730": [133, 142], "7300068736076355": 142, "7300507426261902": 142, "7300696969032288": 142, "7301204800605774": 142, "7302": 142, "7302654385566711": 142, "730276584625244": 142, "7303683161735535": 142, "7303760647773743": 142, "7303845286369324": 142, "7303870320320129": 142, "73040771484375": 142, "7306080460548401": 142, "7306258082389832": 142, "7306752800941467": 142, "7307055592536926": 142, "7307930588722229": 142, "7308400273323059": 142, "7308933138847351": 142, "7309009432792664": 142, "7309502959251404": 142, "7309541702270508": 142, "730955183506012": 142, "731": [133, 138], "7310897707939148": 142, "7312": 147, "7312158942222595": 142, "7313652634620667": 142, "7314078211784363": 142, "7314110398292542": 142, "7314628958702087": 142, "7314723134040833": 142, "7315688133239746": 142, "7315781116485596": 142, "7316320538520813": 142, "731658697128296": 142, "7317123413085938": 142, "7317206859588623": 142, "7317520976066589": 142, "731775283813477": 142, "7317872643470764": 142, "7317879796028137": 142, "7318280339241028": 142, "7318286895751953": 142, "7318528294563293": 142, "7318761944770813": 142, "731914520263672": 142, "731914941885922": 142, "7319397926330566": 142, "7319726347923279": 142, "731kb": 134, "732": 133, "732098400592804": 142, "7322174906730652": 142, "7323532700538635": 142, "7324984669685364": 142, "7325592637062073": 142, "7326526045799255": 142, "7326762676239014": 142, "7327688336372375": 142, "7327824234962463": 142, "7327961921691895": 142, "7328000664710999": 142, "7328205704689026": 142, "7328773140907288": 142, "7328917384147644": 142, "7329313158988953": 142, "7329580187797546": 142, "7329802513122559": 142, "7329887747764587": 142, "732997477054596": 142, "732kb": 134, "733": [133, 134], "7330322265625": 142, "7330936789512634": 142, "7331790328025818": 142, "7333240509033203": 142, "7334732413291931": 142, "7334825396537781": 142, "7334867119789124": 142, "7335116267204285": 142, "7335273623466492": 142, "733703851699829": 142, "7337705492973328": 142, "7337908148765564": 142, "7339": 147, "7341172099113464": 142, "7341194748878479": 142, "7341763377189636": 142, "7342326045036316": 142, "7342602610588074": 142, "7343": 142, "734341561794281": 142, "7344872355461121": 142, "734505832195282": 142, "7345525622367859": 142, "734552800655365": 142, "7346023917198181": 142, "7346901297569275": 142, "7347156405448914": 142, "7347464561462402": 142, "734785795211792": 142, "7347932457923889": 142, "7348182797431946": 142, "734913170337677": 142, "734956979751587": 142, "7349856495857239": 142, "735": 133, "7351441979408264": 142, "735245406627655": 142, "7352491021156311": 142, "735264241695404": 142, "7352665066719055": 142, "735276222229004": 142, "7353070378303528": 142, "7354223132133484": 142, "7355735898017883": 142, "7356509566307068": 142, "7357133030891418": 142, "7357137799263": 142, "7357912659645081": 142, "7358062863349915": 142, "7358741760253906": 142, "7359464764595032": 142, "7359891533851624": 142, "736": 133, "736016571521759": 142, "7360295653343201": 142, "7360706925392151": 142, "7361": 142, "736154556274414": 142, "7363": 142, "7363013625144958": 142, "736305296421051": 142, "7363739609718323": 142, "7364": 142, "7364049553871155": 142, "7364527583122253": 142, "7364685535430908": 142, "7365": 142, "7365198731422424": 142, "7365803122520447": 142, "7365884184837341": 142, "7366": 142, "7366510033607483": 142, "7366736531257629": 142, "7368171811103821": 142, "7368561625480652": 142, "7369092106819153": 142, "737": [133, 142], "7370736002922058": 142, "737080991268158": 142, "7371001839637756": 142, "7371078133583069": 142, "737121": 147, "7371748089790344": 142, "7372": 142, "7372515201568604": 142, "7373": 142, "7374266982078552": 142, "7374498248100281": 142, "7375057339668274": 142, "7375092506408691": 142, "7375196814537048": 142, "7375323176383972": 142, "7376": 142, "7376012206077576": 142, "7376845479011536": 142, "7377318739891052": 142, "7378": 142, "7378390431404114": 142, "7379": 142, "7379122376441956": 142, "7379410862922668": 142, "738": 142, "738147497177124": 142, "7382873892784119": 142, "7382919788360596": 142, "7382956147193909": 142, "7384272217750549": 142, "7384507656097412": 142, "7384639382362366": 142, "7385116219520569": 142, "7385733723640442": 142, "7386094927787781": 142, "7386404871940613": 142, "7386500239372253": 142, "7386679649353027": 142, "7387173771858215": 142, "7388185858726501": 142, "7388277649879456": 142, "7389363646507263": 142, "7389414310455322": 142, "738981246948242": 142, "7389989495277405": 142, "738kb": 134, "739": [133, 142], "7390": 142, "7390146851539612": 142, "7390503287315369": 142, "7390825748443604": 142, "7391020655632019": 142, "7391538619995117": 142, "7391950488090515": 142, "7392": [142, 154], "7392675876617432": 142, "7392747402191162": 142, "7393064498901367": 142, "7393160462379456": 142, "7393925786018372": 142, "739412307739258": 142, "739483654499054": 142, "7394919991493225": 142, "7396133542060852": 142, "7396901249885559": 142, "7397142052650452": 142, "7397227883338928": 142, "7397252917289734": 142, "7397560477256775": 142, "7397801280021667": 142, "7398112416267395": 142, "7398669719696045": 142, "7399534583091736": 142, "739959955215454": 142, "7399683594703674": 142, "739971160888672": 142, "7399787306785583": 142, "73e": 147, "73m": 134, "74": [134, 142, 147, 149], "740": 133, "7400": 142, "7400782704353333": 142, "7403766512870789": 142, "7404069304466248": 142, "7404565811157227": 142, "7404927611351013": 142, "7404981255531311": 142, "7405031323432922": 142, "7405721545219421": 142, "7406137585639954": 142, "740623950958252": 142, "740667998790741": 142, "7407618165016174": 142, "7407684922218323": 142, "7408323884010315": 142, "7408519387245178": 142, "7409214377403259": 142, "740924596786499": 142, "7409641146659851": 142, "7409784197807312": 142, "741": 133, "7410": 154, "7411460280418396": 142, "7414968609809875": 142, "7415690422058105": 142, "7416090369224548": 142, "7416675686836243": 142, "7418254017829895": 142, "7418411374092102": 142, "741872787475586": 142, "7419379353523254": 142, "7419831156730652": 142, "742": [133, 142], "7420": 142, "7420032620429993": 142, "7420371770858765": 142, "7420396208763123": 142, "7420663237571716": 142, "742076575756073": 142, "7420920729637146": 142, "7421": 142, "7421699166297913": 142, "7421858906745911": 142, "7422": 142, "742201030254364": 142, "7422546744346619": 142, "7422568202018738": 142, "7422673106193542": 142, "7423062324523926": 142, "7423321604728699": 142, "7423539757728577": 142, "7423843741416931": 142, "7423906326293945": 142, "7424317002296448": 142, "742449939250946": 142, "7424697279930115": 142, "7426024079322815": 142, "7426252961158752": 142, "742732584476471": 142, "7427804470062256": 142, "7428820729255676": 142, "7429": 142, "7429686188697815": 142, "743": [133, 142], "7430": 142, "7430141568183899": 142, "7431": 142, "7431275844573975": 142, "7431835532188416": 142, "7432": 142, "7432145476341248": 142, "7432773113250732": 142, "7433": 142, "7433279156684875": 142, "7434": 142, "7434120178222656": 142, "7434577345848083": 142, "7434810996055603": 142, "7435706853866577": 142, "7435948252677917": 142, "7436": 142, "7437": 142, "7437480092048645": 142, "7437803149223328": 142, "7437806725502014": 142, "7438": 142, "7438846230506897": 142, "7439": 142, "7439056038856506": 142, "743925094604492": 142, "7439313530921936": 142, "743kb": 134, "7440": 142, "7440283894538879": 142, "7440796494483948": 142, "7441": 142, "7441224455833435": 142, "7441462874412537": 142, "7441925406455994": 142, "7443": 142, "744311511516571": 142, "7443651556968689": 142, "7443698048591614": 142, "7443906664848328": 142, "7444": 142, "7445345520973206": 142, "7445524334907532": 142, "7445808053016663": 142, "7446": 142, "7447": 142, "7447746396064758": 142, "7447898387908936": 142, "7448648810386658": 142, "744882345199585": 142, "7449": 142, "7449249625205994": 142, "7449731230735779": 142, "744kb": 134, "7450792193412781": 142, "7452868819236755": 142, "7453474402427673": 142, "7453927397727966": 142, "7454981803894043": 142, "7455": 147, "7455183863639832": 142, "745520293712616": 142, "7455332279205322": 142, "7455642819404602": 142, "7455968260765076": 142, "7456697821617126": 142, "745736300945282": 142, "7459": 142, "746": 142, "7460088133811951": 142, "7460103631019592": 142, "7460920214653015": 142, "7461657524108887": 142, "7462096214294434": 142, "7462189793586731": 142, "7462661862373352": 142, "7462964057922363": 142, "7463": 142, "7463664412498474": 142, "7463858723640442": 142, "7464439272880554": 142, "7465345859527588": 142, "7465454936027527": 142, "7465656399726868": 142, "7466526627540588": 142, "7466689944267273": 142, "74667888879776": 142, "7467177510261536": 142, "7468183636665344": 142, "7468449473381042": 142, "7470386624336243": 142, "7471145987510681": 142, "7471643090248108": 142, "7471646666526794": 142, "7472136616706848": 142, "7473441958427429": 142, "7474221587181091": 142, "7474231123924255": 142, "7474444508552551": 142, "7474567294120789": 142, "7474847435951233": 142, "7475234866142273": 142, "7476418614387512": 142, "7476518750190735": 142, "74768262": [147, 149], "74768262e": [147, 149], "7478392720222473": 142, "7478407025337219": 142, "7478759288787842": 142, "747886598110199": 142, "747981309890747": 142, "747kb": 134, "7480385899543762": 142, "7480631470680237": 142, "7480747103691101": 142, "7481164932250977": 142, "748154878616333": 142, "7481601238250732": 142, "7482125163078308": 142, "7482345700263977": 142, "7482462525367737": 142, "7482483983039856": 142, "7482728958129883": 142, "7484102249145508": 142, "7484338879585266": 142, "7484979033470154": 142, "7485164999961853": 142, "7485495209693909": 142, "7486438751220703": 142, "7486684918403625": 142, "7487471103668213": 142, "7487877011299133": 142, "7488362193107605": 142, "7489058375358582": 142, "7490066885948181": 142, "7490809559822083": 142, "7490811944007874": 142, "7491711974143982": 142, "7491922974586487": 142, "7492849230766296": 142, "7493": 142, "7493048310279846": 142, "7493691444396973": 142, "7494": 142, "7494683861732483": 142, "7494702935218811": 142, "7495396733283997": 142, "7496643662452698": 142, "7496907114982605": 142, "7497321963310242": 142, "7497960925102234": 142, "7498": 142, "7498650550842285": 142, "7499": 142, "7499304413795471": 142, "749kb": 134, "74e": 147, "75": [132, 134, 142, 147, 149, 157], "7500317692756653": 142, "7500765323638916": 142, "7500945925712585": 142, "750106155872345": 142, "7501751780509949": 142, "7502288222312927": 142, "750249": [147, 149], "7502698302268982": 142, "750329315662384": 142, "7503377795219421": 142, "7503920197486877": 142, "7504652142524719": 142, "7505": 142, "7505200505256653": 142, "7505239844322205": 142, "7506": 142, "7506375908851624": 142, "7506607174873352": 142, "7507248520851135": 142, "7507655024528503": 142, "7507675290107727": 142, "7508346438407898": 142, "7508571147918701": 142, "750898838043213": 142, "7509916424751282": 142, "751": 147, "7511029839515686": 142, "7512094378471375": 142, "7512304186820984": 142, "7512617707252502": 142, "7514": 147, "7514625191688538": 142, "751471221446991": 142, "7514944076538086": 142, "7515073418617249": 142, "7516884207725525": 142, "751749038696289": 142, "7518284916877747": 142, "7518602013587952": 142, "7519118785858154": 142, "751kb": 134, "7520110607147217": 142, "7520410418510437": 142, "7520988583564758": 142, "7521345019340515": 142, "752177894115448": 142, "7523157000541687": 142, "7523855566978455": 142, "7523868083953857": 142, "7524": 142, "7524424195289612": 142, "7524687647819519": 142, "7525880932807922": 142, "7525e": 147, "7526": 142, "7526139616966248": 142, "7526865601539612": 142, "7527012228965759": 142, "752733051776886": 142, "7527499794960022": 142, "7527896761894226": 142, "7528": [147, 149], "7528013586997986": 142, "7528102993965149": 142, "7528677582740784": 142, "7529346346855164": 142, "7529398798942566": 142, "752947": 142, "7529824376106262": 142, "752kb": 134, "753": 142, "7531313300132751": 142, "7532075047492981": 142, "7532578110694885": 142, "7532830238342285": 142, "753304": 142, "7534129023551941": 142, "7534564137458801": 142, "753490": 142, "753494918346405": 142, "7535656094551086": 142, "75363689661026": 142, "7536554932594299": 142, "753669": 142, "75376957654953": 142, "753859043121338": 142, "753921": 142, "7539470791816711": 142, "7539581656455994": 142, "753kb": 134, "754": 142, "7540085911750793": 142, "754011631011963": 142, "7540163397789001": 142, "7540356516838074": 142, "754059": 153, "754064": 142, "7541": 142, "754124104976654": 142, "7542182803153992": 142, "7542595267295837": 142, "75426178734051e": 142, "7542774081230164": 142, "7542815804481506": 142, "754353": 142, "754381": 142, "7544": 142, "754434": 142, "7544348835945129": 142, "7545205950737": 142, "754553": 142, "754556": 142, "754628": 142, "754719078540802": 142, "754748523235321": 142, "754850": 142, "7548518180847168": 142, "7548584938049316": 142, "7548763155937195": 142, "7549304366111755": 142, "754954": 142, "7550498843193054": 142, "7550646662712097": 142, "7550650238990784": 142, "7551121115684509": 142, "755130": 153, "755169": 142, "7551864981651306": 142, "7552047371864319": 142, "7552210688591003": 142, "755263": 142, "7552859783172607": 142, "755328": 142, "7553879618644714": 142, "7554040551185608": 142, "755435": 142, "7554450631141663": 147, "755453": 142, "755523": 142, "755633": 142, "7557": 142, "7557834982872009": 142, "7558": 142, "7558320164680481": 142, "7559006810188293": 142, "7559230923652649": 142, "7559366822242737": 142, "7559824585914612": 142, "755988": 142, "7561104893684387": 142, "7561307549476624": 142, "7561433911323547": 142, "7561818957328796": 142, "7562": 142, "7562043070793152": 142, "7562209963798523": 142, "7562429308891296": 142, "7562550902366638": 142, "756258": 153, "7562866806983948": 142, "756318": 142, "7563307285308838": 142, "7563648819923401": 142, "7563838958740234": 142, "7564": 142, "756473": 142, "7564811110496521": 142, "7565": 142, "7565100193023682": 142, "7565953135490417": 142, "7566030025482178": 142, "7566837668418884": 142, "756901204586029": 142, "756937026977539": 142, "7569628357887268": 142, "7569723725318909": 142, "7569929957389832": 142, "757": 134, "7571272253990173": 142, "7571443915367126": 142, "7571621537208557": 142, "7572299838066101": 142, "7573025822639465": 142, "7573172450065613": 142, "7573934197425842": 142, "757431": 153, "7575080394744873": 142, "7575648427009583": 142, "757570": 153, "7576": 142, "7577336430549622": 142, "7578219771385193": 142, "7578509449958801": 142, "7579010128974915": 142, "7579512000083923": 142, "7579942345619202": 142, "757kb": 134, "758": 147, "7580166459083557": 142, "7580530643463135": 142, "7581": 142, "758104": 142, "7581663727760315": 142, "7582": 142, "7582363486289978": 142, "7582592964172363": 142, "7582604289054871": 142, "7582680583000183": 142, "7582719922065735": 142, "7582777142524719": 142, "7583": 142, "7583117485046387": 142, "7583214640617371": 142, "7584906220436096": 142, "7585501074790955": 142, "7585761547088623": 142, "7586356401443481": 141, "7587012648582458": 142, "7587328553199768": 142, "7588151097297668": 142, "7588444352149963": 142, "758928298950195": 142, "758967936038971": 142, "7589833736419678": 142, "758kb": 134, "759053647518158": 142, "7590717673301697": 142, "759073793888092": 142, "7591739296913147": 142, "7591776251792908": 142, "7592330574989319": 142, "7592747807502747": 142, "7593860030174255": 142, "759408712387085": 142, "759493887424469": 142, "759593665599823": 142, "7596729397773743": 142, "759673535823822": 142, "759674072265625": 142, "7597": 142, "7597251534461975": 142, "7597706913948059": 142, "7598": 142, "7598859667778015": 142, "7598965764045715": 142, "7599052786827087": 142, "7599489092826843": 142, "75e": 147, "75it": 147, "75m": 134, "75x": [147, 149], "76": [133, 134, 142, 147, 149], "760": 142, "7600488066673279": 142, "7600852847099304": 142, "7600865960121155": 142, "760105609893799": 142, "760132372379303": 142, "7601771950721741": 142, "760197103023529": 142, "7602010369300842": 142, "7602654099464417": 142, "7602893710136414": 142, "7603453993797302": 142, "760381": 142, "7604406476020813": 142, "7605531811714172": 142, "7605533003807068": 142, "7605604529380798": 142, "7605956196784973": 142, "7605985999107361": 142, "7606951594352722": 142, "7607693076133728": 142, "7608612179756165": 142, "7609734535217285": 142, "760kb": 134, "7610259652137756": 142, "7611110806465149": 142, "7611199021339417": 142, "7611465454101562": 142, "7611574530601501": 142, "7611661553382874": 142, "7611825466156006": 142, "7612019181251526": 142, "7612177729606628": 142, "7613093256950378": 142, "7614671587944031": 142, "7615051865577698": 142, "7615224719047546": 142, "761605978012085": 142, "7618027329444885": 142, "7618200778961182": 142, "7618801593780518": 142, "7619003653526306": 142, "761908233165741": 142, "762": [134, 142], "7620789408683777": 142, "7620958685874939": 142, "7621154189109802": 142, "762117326259613": 142, "7621299624443054": 142, "7621460556983948": 142, "762151300907135": 142, "7621522545814514": 142, "7621545791625977": 142, "7621633410453796": 142, "762169361114502": 142, "7622833847999573": 142, "7623729109764099": 142, "7623973488807678": 142, "7624804377555847": 142, "7625878172111697e": 142, "7626168727874756": 142, "7629562020301819": 142, "7629950046539307": 142, "7630582451820374": 142, "7631": 142, "7631080746650696": 142, "7631155848503113": 142, "7631431221961975": 142, "7631600499153137": 142, "7632": 142, "7632595896720886": 142, "7632750868797302": 142, "7632891535758972": 142, "7633134722709656": 142, "763314425945282": 142, "7633438110351562": 142, "7633543610572815": 142, "7633576393127441": 142, "7634326815605164": 142, "7634567618370056": 142, "7634838223457336": 142, "7635": 147, "7635145783424377": 142, "7635334134101868": 142, "7636789679527283": 142, "7637647986412048": 142, "7638619542121887": 142, "7639": 142, "764076292514801": 142, "764116108417511": 142, "7641374468803406": 142, "7641420960426331": 142, "764143168926239": 142, "7641499638557434": 142, "7641518712043762": 142, "7642": 142, "764206": 144, "764237403869629": 142, "7642442584037781": 142, "7643": 142, "7643190026283264": 142, "764381468296051": 142, "7644160389900208": 142, "7644829750061035": 142, "7645354866981506": 142, "7645696997642517": 142, "764714777469635": 142, "7648072242736816": 142, "7648422122001648": 142, "7649253010749817": 142, "7649857401847839": 142, "7650265097618103": 142, "7650380730628967": 142, "765043258666992": 142, "7650768756866455": 142, "7650845050811768": 142, "7651515603065491": 142, "7651750445365906": 142, "7651965022087097": 142, "765199899673462": 142, "7653267979621887": 142, "7653912901878357": 142, "7654419541358948": 142, "7654711604118347": 142, "7655059695243835": 142, "7655224800109863": 142, "7655304074287415": 142, "7655327916145325": 142, "76561164855957": 142, "7656475901603699": 142, "7657": 142, "7657120823860168": 142, "765788733959198": 142, "7658185362815857": 142, "7658438086509705": 142, "7658525109291077": 142, "7659186720848083": 142, "765968382358551": 142, "766": [132, 142, 157], "7660233378410339": 142, "7660486102104187": 142, "7660607695579529": 142, "7661468386650085": 142, "7661470770835876": 142, "7661482691764832": 142, "766192615032196": 142, "7662666440010071": 142, "7663480639457703": 142, "7663598656654358": 142, "7664490342140198": 142, "7664524912834167": 142, "7665840983390808": 142, "766636312007904": 142, "7667": 142, "7667518258094788": 142, "7667933106422424": 142, "7669011950492859": 142, "7669702172279358": 142, "766987": [147, 149], "7670": 142, "7670320868492126": 142, "7670727372169495": 142, "7670772671699524": 142, "7671158909797668": 142, "767146110534668": 142, "7671597003936768": 142, "7671907544136047": 142, "7672014832496643": 142, "767208": 142, "767304420471191": 142, "7673251628875732": 142, "7674391865730286": 142, "767469": 142, "7675343155860901": 142, "7675755620002747": 142, "7676240801811218": 142, "7676635384559631": 142, "7676e": 147, "76771354675293": 142, "767727792263031": 142, "7678257822990417": 142, "7678673267364502": 142, "7678688168525696": 142, "7679721713066101": 142, "768013954162598": 142, "7680559754371643": 142, "7681": 134, "7681277394294739": 142, "7681323885917664": 142, "7681372761726379": 142, "7681770920753479": 142, "7682097554206848": 142, "7682214379310608": 142, "7682283520698547": 142, "7683423161506653": 142, "7684": 142, "7684001922607422": 142, "768400251865387": 142, "7684235572814941": 142, "7685059905052185": 142, "7685288786888123": 142, "7685308456420898": 142, "768613": 142, "7686697840690613": 142, "768680": 142, "7686818242073059": 142, "7687415480613708": 142, "7688031792640686": 142, "7688667178153992": 142, "7689059376716614": 142, "7689236998558044": 142, "768kb": 134, "7690029740333557": 142, "7690324187278748": 142, "7690576910972595": 142, "7690725326538086": 142, "7690836787223816": 142, "769096": 142, "769108": 142, "7691732048988342": 142, "7691953778266907": 142, "769218": 142, "7692415714263916": 142, "7693905234336853": 142, "7694509625434875": 142, "769467294216156": 142, "769543647766113": 142, "769571781158447": 142, "7696496844291687": 142, "769728183746338": 142, "7697311043739319": 142, "7697636485099792": 142, "769775927066803": 142, "7698106169700623": 142, "7698439955711365": 142, "7698538899421692": 142, "7699494957923889": 142, "7699803709983826": 142, "76e": 147, "76it": [134, 147], "76m": 134, "76mb": 134, "77": [36, 132, 134, 142, 147, 149, 153, 157], "7700029015541077": 142, "7700076699256897": 142, "7700266242027283": 142, "7701752781867981": 142, "770191490650177": 142, "7702": [147, 149], "7702144980430603": 142, "7702484726905823": 142, "770274": 142, "7704": 142, "7704098224639893": 142, "7704233527183533": 142, "7704687714576721": 142, "770510733127594": 142, "770534098148346": 142, "7705495953559875": 142, "770659": 153, "7707": 142, "7707175612449646": 142, "7709447741508484": 142, "7709677815437317": 142, "771": 142, "77102130651474": 142, "7710244059562683": 142, "7711027264595032": 142, "7711533904075623": 142, "7712418437004089": 142, "7712517380714417": 142, "7712876200675964": 142, "7714424729347229": 142, "7714478373527527": 142, "7714590430259705": 142, "7715076804161072": 142, "7715487480163574": 142, "7715786099433899": 142, "771617889404297": 142, "7716535925865173": 142, "7716600298881531": 142, "7717379927635193": 142, "7718586325645447": 142, "7718592286109924": 142, "7718751430511475": 142, "7719069123268127": 142, "771944522857666": 142, "7719548344612122": 142, "7719582915306091": 142, "7719611525535583": 142, "7720513939857483": 142, "7721938490867615": 142, "7722333073616028": 142, "7722787261009216": 142, "7722838521003723": 142, "7723202109336853": 142, "7723284363746643": 142, "7724370360374451": 142, "7724521160125732": 142, "7725481390953064": 142, "7725856900215149": 142, "7726143002510071": 142, "7726601958274841": 142, "772769033908844": 142, "772770345211029": 142, "772804319858551": 142, "7728865742683411": 142, "772kb": 134, "773": 147, "7730688452720642": 142, "7731338143348694": 142, "773137": 142, "7732077240943909": 142, "7733280062675476": 142, "7733518481254578": 142, "7733613848686218": 142, "7734358906745911": 142, "7734890580177307": 142, "773491382598877": 142, "773512363433838": 142, "7735587954521179": 142, "7735636830329895": 142, "773608684539795": 142, "773637056350708": 142, "7736422419548035": 142, "7736497521400452": 142, "7736757397651672": 142, "7736920714378357": 142, "7737": 147, "7737042307853699": 142, "7737832069396973": 142, "7738693356513977": 142, "773887574672699": 142, "773929554678034e": 142, "773980": 142, "774": 142, "7740771174430847": 142, "774081289768219": 142, "7740926675032824e": 142, "7741104960441589": 142, "7741237282752991": 142, "7742074131965637": 142, "774374783039093": 142, "7743908762931824": 142, "7744627594947815": 142, "7744678854942322": 142, "7744744420051575": 142, "7744929194450378": 142, "7745072245597839": 142, "7745779156684875": 142, "7746371626853943": 142, "7746664881706238": 142, "7747047543525696": 142, "7747122645378113": 142, "7747698426246643": 142, "77479487657547": 142, "7748273015022278": 142, "7748384475708008": 142, "774873": 142, "77494877576828": 142, "7750760912895203": 142, "7750763297080994": 142, "775079": [147, 149], "7751717567443848": 142, "7752": 142, "7752094268798828": 142, "7752361297607422": 142, "775238037109375": 142, "7752668261528015": 142, "7752688527107239": 142, "7752725481987": 142, "7753334641456604": 142, "7753637433052063": 142, "7753944396972656": 142, "7754163146018982": 142, "7754430174827576": 142, "7755638957023621": 142, "7755902409553528": 142, "775712251663208": 142, "7757287621498108": 142, "7757572531700134": 142, "775810182094574": 142, "7758934468001826e": 142, "7759734988212585": 142, "775kb": 134, "7760480046272278": 142, "7760949730873108": 142, "7761333584785461": 142, "7761723399162292": 142, "7762": 147, "776263415813446": 142, "7763140797615051": 142, "7763835787773132": 142, "7764": [147, 149], "776470": 142, "7764928936958313": 142, "7765185236930847": 142, "7765284180641174": 142, "7765717506408691": 142, "776607096195221": 142, "7766656279563904": 142, "776667058467865": 142, "7767401337623596": 142, "7767557501792908": 142, "7768412232398987": 142, "7768687605857849": 142, "7768990397453308": 142, "7769036889076233": 142, "7770": 142, "7770029902458191": 142, "7770081162452698": 142, "7770089507102966": 142, "7770631909370422": 142, "7771": 142, "7771139740943909": 142, "7772021889686584": 142, "7772722840309143": 142, "7772734761238098": 142, "7773": 142, "7773110270500183": 142, "7773790955543518": 142, "7773879170417786": 142, "7774": 142, "77741938829422": 142, "7774720788002014": 142, "7775178551673889": 142, "7776225209236145": 142, "7777109146118164": 142, "7777467370033264": 142, "7777495384216309": 142, "7777723670005798": 142, "7777893543243408": 142, "7777997851371765": 142, "7778429388999939": 142, "7778529524803162": 142, "7778601050376892": 142, "7779143452644348": 142, "778": 142, "7780868411064148": 142, "7780e": 148, "7781": 142, "7782312035560608": 142, "7783457636833191": 142, "778364360332489": 142, "778410": [147, 149], "7784329056739807": 142, "7784639000892639": 142, "7785": 142, "7785109877586365": 142, "77851254784": 158, "7785710692405701": 142, "7786": 142, "778606653213501": 142, "7786259651184082": 142, "7786752581596375": 142, "7787476181983948": 142, "7787567973136902": 142, "7787937521934509": 142, "7788049578666687": 142, "7788246273994446": 142, "7788531184196472": 142, "7788634300231934": 142, "7788859009742737": 142, "7789915204048157": 142, "7790": 142, "7790641188621521": 142, "7790722250938416": 142, "7791025042533875": 142, "7791455388069153": 142, "7791491150856018": 142, "7792": 142, "7792221903800964": 142, "779223": [147, 149], "7792277336120605": 142, "7792688012123108": 142, "7792952656745911": 142, "7793611884117126": 142, "7793799042701721": 142, "7794": 142, "7794821858406067": 142, "779489": 153, "779536783695221": 142, "7795528769493103": 142, "7795798778533936": 142, "7795960903167725": 142, "779689": 142, "7797420620918274": 142, "7798300385475159": 142, "7799062132835388": 142, "77997225522995": 142, "77e": 147, "77it": [134, 147], "77m": 134, "78": [134, 142, 147, 149], "7800156474113464": 142, "7800533175468445": 142, "780069887638092": 142, "7801": 142, "7801315188407898": 142, "7802401185035706": 142, "7803542017936707": 142, "7803818583488464": 142, "780394": [147, 149], "7804180979728699": 142, "7804567217826843": 142, "780589759349823": 142, "7806": 142, "7806816697120667": 142, "7807324528694153": 142, "780750572681427": 142, "7809173464775085": 142, "7809543013572693": 142, "7809565663337708": 142, "7810590863227844": 142, "7810730338096619": 142, "7810963988304138": 142, "7811105847358704": 142, "7811248898506165": 142, "7812226414680481": 142, "7812556624412537": 142, "781266212463379": 142, "7812933921813965": 142, "7814030051231384": 142, "7814144492149353": 142, "7814244627952576": 142, "7815075516700745": 142, "78159099817276": 142, "781609833240509": 142, "781669557094574": 142, "7817162871360779": 142, "7817712426185608": 142, "7818": 142, "781846821308136": 142, "7818889021873474": 142, "7819": 142, "7819022536277771": 142, "781917572021484": 142, "7819492220878601": 142, "7819921970367432": 142, "781g": 131, "782": 142, "7820714116096497": 142, "78207927942276": 142, "7821071743965149": 142, "7821183800697327": 142, "7821216583251953": 142, "7821326851844788": 142, "7822": 142, "7822732329368591": 142, "7823": 142, "782320": [147, 149], "7823526263237": 142, "7825397849082947": 142, "7825868725776672": 142, "7826621532440186": 142, "78266841173172": 142, "7826900482177734": 142, "7826935648918152": 142, "7827139496803284": 142, "7827327847480774": 142, "7827748656272888": 142, "782803475856781": 142, "7828120589256287": 142, "7828403115272522": 142, "7828693985939026": 142, "7828912138938904": 142, "7828999161720276": 142, "7829": 142, "7829970717430115": 142, "78299828": [147, 149], "78299828e": [147, 149], "783": 134, "7830": 154, "7830111980438232": 142, "783049583435059": 142, "7830886244773865": 142, "7830936908721924": 142, "7830991148948669": 142, "7831308245658875": 142, "7832160592079163": 142, "7832432389259338": 142, "7832751274108887": 142, "7833821773529053": 142, "7834": 142, "783414900302887": 142, "7834431529045105": 142, "7835032343864441": 142, "7835631370544434": 142, "7836107611656189": 142, "7836658358573914": 142, "7836839556694031": 142, "7836894989013672": 142, "7837081551551819": 142, "783720076084137": 142, "7837221026420593": 142, "783766746520996": 142, "7837672233581543": 142, "7838461995124817": 142, "7838804125785828": 142, "783888041973114": 142, "7839280962944031": 142, "7839587330818176": 142, "7840378880500793": 142, "7840587496757507": 142, "784094512462616": 142, "7841150760650635": 142, "7841305136680603": 142, "7841327786445618": 142, "7841975688934326": 142, "7842249870300293": 142, "7843660712242126": 142, "7844184041023254": 142, "784480631351471": 142, "7845219969749451": 142, "7845390439033508": 142, "7845551371574402": 142, "7845614552497864": 142, "7846220135688782": 142, "784630": 142, "7846303582191467": 142, "7846308350563049": 142, "784631": 142, "7846394181251526": 142, "7846437096595764": 142, "784724473953247": 142, "7847786545753479": 142, "7847910523414612": 142, "7849438786506653": 142, "7849625945091248": 142, "7850720286369324": 142, "7850822806358337": 142, "7851": 142, "7851802706718445": 142, "785182535648346": 142, "7852579951286316": 142, "7852653861045837": 142, "7853309512138367": 142, "7853322625160217": 142, "7853519320487976": 142, "7853922843933105": 142, "7853986620903015": 142, "785433053970337": 142, "7854380011558533": 142, "7854434847831726": 142, "7855103611946106": 142, "7855737805366516": 142, "7855892777442932": 142, "7856542468070984": 142, "78574538230896": 142, "785771131515503": 142, "7857902646064758": 142, "7858309745788574": 142, "7859": 142, "7859132885932922": 142, "7859198451042175": 142, "7859540581703186": 142, "7859582304954529": 142, "785973310470581": 142, "785kb": 134, "786": 142, "7861203551292419": 142, "786134660243988": 142, "786172389984131": 142, "7862153649330139": 142, "7862294316291809": 142, "7862449288368225": 142, "7862545847892761": 142, "7863121628761292": 142, "7863337397575378": 142, "7863652110099792": 142, "7863866686820984": 142, "7864304184913635": 142, "7864559292793274": 142, "7865419983863831": 142, "7866203784942627": 142, "7866433262825012": 142, "7866700291633606": 142, "7867310643196106": 142, "7867529988288879": 142, "7867586016654968": 142, "7868257164955139": 142, "7868300080299377": 142, "7868728637695312": 142, "7869113087654114": 142, "786933958530426": 142, "7869998216629028": 142, "787": 134, "7870378494262695": 142, "7870619893074036": 142, "7870913147926331": 142, "7870926260948181": 142, "7871482968330383": 142, "7871569991111755": 142, "7871856093406677": 142, "7872235178947449": 142, "7872485518455505": 142, "7873159050941467": 142, "7873274683952332": 142, "7873303294181824": 142, "787342071533203": 142, "7873527407646179": 142, "787407636642456": 142, "7874128818511963": 142, "7874414920806885": 142, "7874487042427063": 142, "787458598613739": 142, "7874882817268372": 142, "7875160574913025": 142, "7875996232032776": 142, "787634551525116": 142, "7876566052436829": 142, "7876612544059753": 142, "7876743674278259": 142, "7877": 142, "7877493500709534": 142, "7877988219261169": 142, "7878": 142, "7878679633140564": 142, "7878997325897217": 142, "7879": [142, 147], "7879447340965271": 142, "7879579067230225": 142, "788": [132, 142, 157], "7880": 142, "7880037426948547": 142, "7880584597587585": 142, "78806471824646": 142, "7880691885948181": 142, "7880983948707581": 142, "7881": 142, "7881441712379456": 142, "7882904410362244": 142, "7883": 142, "7883300185203552": 142, "7883653044700623": 142, "788425624370575": 142, "7884852290153503": 142, "7885": 142, "7885416150093079": 142, "788672149181366": 142, "7887375354766846": 142, "7887962460517883": 142, "7888230681419373": 142, "788834571838379": 142, "7888361811637878": 142, "788851022720337": 142, "7889094948768616": 142, "7889149188995361": 142, "7889297604560852": 142, "7889332175254822": 142, "788942813873291": 142, "7889800667762756": 142, "7889924645423889": 142, "7890512943267822": 142, "7890803813934326": 142, "7891123294830322": 142, "7891175150871277": 142, "7891519665718079": 142, "7891561388969421": 142, "789162": [147, 149], "7891806960105896": 142, "7891955375671387": 142, "7892237305641174": 142, "7892674803733826": 142, "7893292307853699": 142, "7893769145011902": 142, "7894182205200195": 142, "7894743084907532": 142, "7894797921180725": 142, "7894827723503113": 142, "7894881367683411": 142, "7895": 147, "7895848155021667": 142, "7896471619606018": 142, "7897": 142, "7897538542747498": 142, "7897736430168152": 142, "7898058295249939": 142, "7898163199424744": 142, "7898905873298645": 142, "7898977398872375": 142, "78993797302246": 142, "789986789226532": 142, "789987802505493": 142, "78e": 147, "78it": [134, 147], "78m": 134, "79": [134, 142, 145, 147, 149], "7901138663291931": 142, "79013592004776": 142, "7901421189308167": 142, "7901422381401062": 142, "7901938557624817": 142, "790201425552368": 142, "7902328968048096": 142, "7902745604515076": 142, "7902958989143372": 142, "7903478741645813": 142, "7904": 142, "7904114127159119": 142, "790439784526825": 142, "7904447913169861": 142, "7904660105705261": 142, "7905071377754211": 142, "7905222773551941": 142, "7905612587928772": 142, "790576457977295": 142, "7906": 142, "7906786799430847": 142, "7906839847564697": 142, "790685653686523": 142, "7907": 142, "790713310241699": 142, "7907896637916565": 142, "7908": 142, "790800154209137": 142, "7908006310462952": 142, "7908551096916199": 142, "7909": 142, "7909378409385681": 142, "790941059589386": 142, "7909436821937561": 142, "7910": 142, "7910727858543396": 142, "7911142706871033": 142, "7911601662635803": 142, "7912020087242126": 142, "7912240624427795": 142, "7912515997886658": 142, "7913520932197571": 142, "7913677096366882": 142, "7914292216300964": 142, "7914591431617737": 142, "7915247082710266": 142, "7915424704551697": 142, "7915520071983337": 142, "7915733456611633": 142, "791592538356781": 142, "7916": 142, "7916317582130432": 142, "791688859462738": 142, "7917": 142, "7917088866233826": 142, "7917794585227966": 142, "7918": 142, "7918176651000977": 142, "791839599609375": 142, "7918599247932434": 142, "791926383972168": 142, "791928768157959": 142, "7919996380805969": 142, "7920132279396057": 142, "7920147776603699": 142, "7920270562171936": 142, "7920467853546143": 142, "792083740234375": 142, "7921162247657776": 142, "7921292185783386": 142, "7921769022941589": 142, "7921884655952454": 142, "7921e": 147, "7922016978263855": 142, "7922555804252625": 142, "792265892028809": 142, "7923433780670166": 142, "7923770546913147": 142, "7924041152000427": 142, "7924268841743469": 142, "7924967408180237": 142, "7925488352775574": 142, "7925888895988464": 142, "7926": 142, "7926178574562073": 142, "792670965194702": 142, "7926886081695557": 142, "7927": 142, "7927639484405518": 142, "7928": 142, "7928032875061035": 142, "7928161025047302": 142, "7928226590156555": 142, "7928240895271301": 142, "792842149734497": 142, "792884826660156": 142, "7928916811943054": 142, "7929": 142, "7929343581199646": 142, "7929720282554626": 142, "793": 142, "7930": 142, "7930009961128235": 142, "793049335479736": 142, "7930634021759033": 142, "7930654883384705": 142, "7931": 142, "7931361794471741": 142, "7931539416313171": 142, "7931742072105408": 142, "7931856513023376": 142, "7932024598121643": 142, "7932896614074707": 142, "7932953834533691": 142, "7933047413825989": 142, "7933050990104675": 142, "7933081984519958": 142, "793343722820282": 142, "7934179902076721": 142, "7934396862983704": 142, "7934585213661194": 142, "7935248017311096": 142, "793571949005127": 142, "793611764907837": 142, "7936251759529114": 142, "793639898300171": 142, "7936411499977112": 142, "7937": 142, "7937807440757751": 142, "7937958836555481": 142, "7938": 142, "7938041090965271": 142, "7938268780708313": 142, "7938340306282043": 142, "7939": 142, "7939042448997498": 142, "793923556804657": 142, "7939421534538269": 142, "794": [132, 157], "7940": 142, "7940135598182678": 142, "794029176235199": 142, "7940709590911865": 142, "7941047549247742": 142, "794154405593872": 142, "7942": 142, "7942481637001038": 142, "79425811767578": 142, "794266700744629": 142, "794299840927124": 142, "794374406337738": 142, "7944": 142, "794414520263672": 142, "7944313883781433": 142, "7944335341453552": 142, "7944741249084473": 142, "7945": 142, "7945038676261902": 142, "7945072054862976": 142, "7945899367332458": 142, "7946051955223083": 142, "7946234345436096": 142, "7946298122406006": 142, "7946324944496155": 142, "794643": [147, 149], "7946584224700928": 142, "7946859002113342": 142, "7946893572807312": 142, "79469895362854": 142, "7947": 147, "7947071194648743": 142, "7947264313697815": 142, "7947482466697693": 142, "7948339581489563": 142, "7948890328407288": 142, "7948980331420898": 142, "794kb": 134, "7950153946876526": 142, "7950270175933838": 142, "7950720191001892": 142, "7950941920280457": 142, "7951": 147, "7951507568359375": 142, "7951605916023254": 142, "7952098846435547": 142, "7952112555503845": 142, "7952192425727844": 142, "795231282711029": 142, "7952836155891418": 142, "7953377366065979": 142, "7953832745552063": 142, "7954416871070862": 142, "7954705357551575": 142, "7954902052879333": 142, "7956": 142, "795604705810547": 142, "7956145405769348": 142, "7956321239471436": 142, "795788049697876": 142, "7957884669303894": 142, "7957937121391296": 142, "7957985997200012": 142, "7958131432533264": 142, "7958249449729919": 142, "795900821685791": 142, "7959075570106506": 142, "79592227935791": 142, "79592365026474": 142, "796": 142, "7960030436515808": 142, "7960352897644043": 142, "7960818409919739": 142, "7960912585258484": 142, "7961753010749817": 142, "7961905598640442": 142, "7962117195129395": 142, "7962148189544678": 142, "7962200045585632": 142, "796232283115387": 142, "7962862849235535": 142, "796407461166382": 142, "7964136004447937": 142, "796453": 147, "7964876294136047": 142, "7964938282966614": 142, "7965404987335205": 142, "7965826392173767": 142, "796592652797699": 142, "796593189239502": 142, "79662322998047": 142, "7966232895851135": 142, "7966583371162415": 142, "796727418899536": 142, "796780586242676": 142, "7968530654907227": 142, "7968549132347107": 142, "7968621253967285": 142, "7968624234199524": 142, "7969087958335876": 142, "7969409823417664": 142, "7969563007354736": 142, "7969616055488586": 142, "7969678044319153": 142, "7969960570335388": 142, "797": 138, "797029435634613": 142, "7971519827842712": 142, "797171413898468": 142, "7971829771995544": 142, "7972157597541809": 142, "7972485423088074": 142, "7972970008850098": 142, "7973033785820007": 142, "7973393797874451": 142, "7973583340644836": 142, "7973816990852356": 142, "7974216341972351": 142, "7974737286567688": 142, "7974777221679688": 142, "7974875569343567": 142, "797569513320923": 142, "7975721955299377": 142, "7976105213165283": 142, "7976167798042297": 142, "7976353764533997": 142, "797677755355835": 142, "7976890206336975": 142, "7977427840232849": 142, "7977455258369446": 142, "7977526783943176": 142, "797819197177887": 142, "7978456616401672": 142, "7978735566139221": 142, "7978861331939697": 142, "7979101538658142": 142, "7979361414909363": 142, "797971487045288": 142, "7979833483695984": 142, "7979b9e7ab557d6979b33e352486f0ef": 129, "798": 147, "7980592846870422": 142, "7981168627738953": 142, "7981350421905518": 142, "7981416583061218": 142, "7982062697410583": 142, "7983344197273254": 142, "798335313796997": 142, "7983803153038025": 142, "7983930706977844": 142, "798455536365509": 142, "7984930872917175": 142, "7984934449195862": 142, "798505783081055": 142, "7985300421714783": 142, "7985427975654602": 142, "7985449433326721": 142, "7985768914222717": 142, "7986171841621399": 142, "798659563064575": 142, "7986896634101868": 142, "7987063527107239": 142, "7987866997718811": 142, "7988751530647278": 142, "799": 142, "7990472912788391": 142, "7990668416023254": 142, "7991126179695129": 142, "799118041992188": 142, "7991591095924377": 142, "7992446422576904": 142, "7992656826972961": 142, "7992804050445557": 142, "799299418926239": 142, "7993327975273132": 142, "7993611693382263": 142, "7994088530540466": 142, "7994091510772705": 142, "799467146396637": 142, "7994986176490784": 142, "7995147705078125": 142, "7995171546936035": 142, "7995548248291016": 142, "7996017932891846": 142, "7996339201927185": 142, "7996525168418884": 142, "7997743487358093": 142, "7997769713401794": 142, "7998072504997253": 142, "7998215556144714": 142, "7998397946357727": 142, "7998496890068054": 142, "7998878955841064": 142, "7998943328857422": 142, "7999212145805359": 142, "7999467849731445": 142, "799950122833252": 142, "799999475479126": 142, "79e": 147, "79it": 147, "79m": 134, "7bcae43cee451306e34ec416588a7f09": 129, "7e123e6f4fb10d6897be3f47721dfd4a": 129, "7eaa0d63": 142, "7g": 129, "8": [15, 32, 36, 38, 51, 52, 66, 79, 89, 94, 99, 101, 103, 129, 132, 134, 139, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157], "80": [132, 134, 138, 147, 149, 157], "80000000e": [147, 149], "800067901611328": 142, "8000944256782532": 142, "8000975251197815": 142, "8001206517219543": 142, "8001238703727722": 142, "8001444935798645": 142, "800197184085846": 142, "8002049326896667": 142, "8003608584403992": 142, "8003719449043274": 142, "800380527973175": 142, "8005": 147, "8005197644233704": 142, "8005617260932922": 142, "8005619049072266": 142, "8005e": 147, "8006234765052795": 142, "800631523132324": 142, "8006357550621033": 142, "8006498217582703": 142, "8006971478462219": 142, "8007444739341736": 142, "800770103931427": 142, "8007871508598328": 142, "8008995652198792": 142, "800900399684906": 142, "8009201884269714": 142, "800929546356201": 142, "8009926676750183": 142, "8010162711143494": 142, "8011114001274109": 142, "8011606335639954": 142, "8011757731437683": 142, "8011905550956726": 142, "8012067675590515": 142, "801236867904663": 142, "8012526035308838": 142, "8012549877166748": 142, "8012577891349792": 142, "8012592196464539": 142, "8012774586677551": 142, "8012831807136536": 142, "8012992739677429": 142, "8013212084770203": 142, "8013216853141785": 142, "8013930916786194": 142, "8013949990272522": 142, "8014481663703918": 142, "8014656901359558": 142, "8015361428260803": 142, "8016": 142, "801608085632324": 142, "8016259074211121": 142, "8016366362571716": 142, "801685631275177": 142, "8017": 142, "8017340302467346": 142, "8019290566444397": 142, "8020086288452148": 142, "8020086884498596": 142, "8020184636116028": 142, "802036762237549": 142, "8020853400230408": 142, "8021544814109802": 142, "8021546006202698": 142, "8021591305732727": 142, "8021737933158875": 142, "8021894097328186": 142, "8022207617759705": 142, "8023284077644348": 142, "8023785948753357": 142, "802431344985962": 142, "8024694323539734": 142, "8025": 147, "8025075793266296": 142, "8025502562522888": 142, "8026835918426514": 142, "80271577835083": 142, "8027344346046448": 142, "8027491569519043": 142, "8027918934822083": 142, "8029019236564636": 142, "8029264807701111": 142, "802943229675293": 142, "8029500842094421": 142, "8029829859733582": 142, "8029939532279968": 142, "8030638098716736": 142, "8030757904052734": 142, "803090512752533": 142, "8031448721885681": 142, "8032510876655579": 142, "8032729625701904": 142, "8033239245414734": 142, "8033495545387268": 142, "8033862113952637": 142, "80340975522995": 142, "8034951090812683": 142, "8035059571266174": 142, "8035630583763123": 142, "803580284118652": 142, "8036051392555237": 142, "803619921207428": 142, "8036289811134338": 142, "8036637902259827": 142, "8036770224571228": 142, "8037717938423157": 142, "8037964701652527": 142, "8038031458854675": 142, "8038349747657776": 142, "803838312625885": 142, "8038470149040222": 142, "8039327263832092": 142, "8039737343788147": 142, "803987443447113": 142, "8040322661399841": 142, "804047167301178": 142, "8040943145751953": 142, "8040962815284729": 142, "8041": 142, "8041688799858093": 142, "804189145565033": 142, "8041952252388": 142, "804354727268219": 142, "804384469985962": 142, "8044118881225586": 142, "8044176697731018": 142, "8044300675392151": 142, "8045": 142, "804521381855011": 142, "8045380711555481": 142, "804548501968384": 142, "8045668601989746": 142, "804574728012085": 142, "8045797944068909": 142, "8046": 142, "8046104311943054": 142, "8046188950538635": 142, "804671287536621": 142, "804676353931427": 142, "804699620277187": 147, "804700": [147, 149], "8047018647193909": 142, "80474454164505": 142, "8047757148742676": 142, "8047760128974915": 142, "8048108220100403": 142, "8048433661460876": 142, "8048543334007263": 142, "804887592792511": 142, "8048900961875916": 142, "8049346804618835": 142, "805": [132, 157], "8050": 148, "805156707763672": 142, "8051918148994446": 142, "8051984906196594": 142, "805281162261963": 142, "8052864670753479": 142, "8053": 142, "80534428358078": 142, "8053565621376038": 142, "8054271340370178": 142, "8054919838905334": 142, "805525302886963": 142, "8055412769317627": 142, "8055444359779358": 142, "8055819869041443": 142, "8055859208106995": 142, "8056223392486572": 142, "8056346774101257": 142, "8056409955024719": 142, "8056560158729553": 142, "8056697249412537": 142, "8056824803352356": 142, "8056874871253967": 142, "805734395980835": 142, "8057348132133484": 142, "8057746887207031": 142, "8058050274848938": 142, "8058826327323914": 142, "80588722229004": 142, "8059174418449402": 142, "805947780609131": 142, "805950164794922": 142, "8059764504432678": 142, "806025743484497": 142, "806034088134766": 142, "8060807585716248": 142, "80609130859375": 142, "806105375289917": 142, "806109607219696": 142, "8061255812644958": 142, "8061509728431702": 142, "806180000305176": 142, "8061910271644592": 142, "8062": 142, "8062052726745605": 142, "8062247633934021": 142, "8062301278114319": 142, "8063040375709534": 142, "8063280582427979": 142, "8063666820526123": 142, "8064094185829163": 142, "8064420223236084": 142, "806447446346283": 142, "806523561477661": 142, "8065459132194519": 142, "8066056370735168": 142, "8066161274909973": 142, "8066527247428894": 142, "8066672682762146": 142, "8067204356193542": 142, "8067283034324646": 142, "8067818284034729": 142, "8068094849586487": 142, "8068496584892273": 142, "806876003742218": 142, "8069198727607727": 142, "806969165802002": 142, "8069753050804138": 142, "8069915771484375": 142, "8070108890533447": 142, "8070282340049744": 142, "8070459961891174": 142, "807047426700592": 142, "80709457397461": 142, "8071222901344299": 142, "8071916103363037": 142, "8072178959846497": 142, "8072248101234436": 142, "8073": 142, "807382106781006": 142, "8074727654457092": 142, "8074890971183777": 142, "8075": 134, "8075313568115234": 142, "807542085647583": 142, "8075513243675232": 142, "8075730204582214": 142, "807589292526245": 142, "8075992465019226": 142, "8076426386833191": 142, "8076565861701965": 142, "8076716065406799": 142, "8077642917633057": 142, "8078191876411438": 142, "8078847527503967": 142, "807933509349823": 142, "807941734790802": 142, "8080076575279236": 142, "8080264925956726": 142, "808165967464447": 142, "8082050681114197": 142, "8082236647605896": 142, "8082355856895447": 142, "8082380890846252": 142, "8082635402679443": 142, "8082701563835144": 142, "8082838654518127": 142, "8082893490791321": 142, "8083191514015198": 142, "808382511138916": 142, "808444023132324": 142, "8085214495658875": 142, "808589518070221": 142, "8086052536964417": 142, "8086128234863281": 142, "808642566204071": 142, "8086476922035217": 142, "808718740940094": 142, "808721": [147, 149], "8087294697761536": 142, "8087922930717468": 142, "808837890625": 142, "808838427066803": 142, "8088582158088684": 142, "8088971972465515": 142, "8090584874153137": 142, "8090705871582031": 142, "8090927004814148": 142, "8091187477111816": 142, "8091418147087097": 142, "8092334866523743": 142, "8092526793479919": 142, "8092605471611023": 142, "8092822432518005": 142, "8093015551567078": 142, "809368133544922": 142, "8093844056129456": 142, "8094094395637512": 142, "8094123005867004": 142, "8094416260719299": 142, "8094537854194641": 142, "809475898742676": 142, "8094897270202637": 142, "8095052242279053": 142, "8095840811729431": 142, "8095992207527161": 142, "8096347451210022": 142, "8096612095832825": 142, "8096749782562256": 142, "809690237045288": 142, "8097310662269592": 142, "8097392916679382": 142, "8097769618034363": 142, "8098017573356628": 142, "8098070621490479": 142, "8098219037055969": 142, "8098244667053223": 142, "8098302483558655": 142, "809875011444092": 142, "8099114298820496": 142, "8099935054779053": 142, "809m": 131, "80e": 147, "80g": 130, "80it": 147, "80m": 134, "80mb": 134, "81": [129, 132, 133, 134, 142, 147, 149, 157], "8100304007530212": 142, "8100560307502747": 142, "8100624680519104": 142, "810099184513092": 142, "8101518154144287": 142, "8101584315299988": 142, "8101751804351807": 142, "8101890683174133": 142, "810223340988159": 142, "81024569272995": 142, "8102484345436096": 142, "810253918170929": 142, "810279905796051": 142, "810299813747406": 142, "810324192047119": 142, "810368537902832": 142, "8103874325752258": 142, "8104251027107239": 142, "8104352355003357": 142, "8105277419090271": 142, "8105862736701965": 142, "8106": 147, "8106018900871277": 142, "8106210231781006": 142, "8106536865234375": 142, "810662269592285": 142, "8106767535209656": 142, "8106954097747803": 142, "810716450214386": 142, "81077641248703": 142, "810816764831543": 142, "8108229041099548": 142, "8108275532722473": 142, "8108946681022644": 142, "8109274506568909": 142, "8109518885612488": 142, "8109714984893799": 142, "8109847903251648": 142, "8110880851745605": 142, "8111743927001953": 142, "8111799359321594": 142, "8112021088600159": 142, "81123423576355": 142, "811296463012695": 142, "8113071322441101": 142, "8113393187522888": 142, "8113438487052917": 142, "81137615442276": 142, "8113831877708435": 142, "8114390969276428": 142, "811439514160156": 142, "8114801049232483": 142, "8114833235740662": 142, "8114990592002869": 142, "81157112121582": 142, "8115851283073425": 142, "8115921020507812": 142, "8116": 142, "811659038066864": 142, "8116893768310547": 142, "8116903901100159": 142, "8116962313652039": 142, "8117": 142, "811707079410553": 142, "811713218688965": 142, "8117141723632812": 142, "8117310404777527": 142, "81173175573349": 142, "8117570877075195": 142, "8117853999137878": 142, "8118132948875427": 142, "811826705932617": 142, "8118470311164856": 142, "8118653893470764": 142, "8119096159934998": 142, "8119358420372009": 142, "8119432330131531": 142, "8120227456092834": 142, "812025308609009": 142, "812047243118286": 142, "8120604157447815": 142, "8120632767677307": 142, "812077283859253": 142, "81209945678711": 142, "8121352791786194": 142, "812166929244995": 142, "8121681809425354": 142, "8122032284736633": 142, "812220096588135": 142, "812227189540863": 142, "8122380375862122": 142, "8122963309288025": 142, "812313079833984": 142, "8123323321342468": 142, "8123903274536133": 142, "8123947978019714": 142, "8123974204063416": 142, "8124889731407166": 142, "81251335144043": 142, "8125433325767517": 142, "8125507235527039": 142, "8125911355018616": 142, "8125914931297302": 142, "812593460083008": 142, "8126": 142, "8127079606056213": 142, "812730610370636": 142, "8127636909484863": 142, "812782347202301": 142, "8128384947776794": 142, "8128432631492615": 142, "8129526972770691": 142, "812962055206299": 142, "813": 142, "8130157589912415": 142, "813055515289307": 142, "8130620121955872": 142, "8130857348442078": 142, "813156127929688": 142, "81317": 36, "8131704926490784": 142, "8131818175315857": 142, "8132224678993225": 142, "8132531642913818": 142, "8132588863372803": 142, "8132595419883728": 142, "8132669925689697": 142, "8132889866828918": 142, "8133220076560974": 142, "8133696913719177": 142, "813398067606613e": 142, "8134161829948425": 142, "8134240508079529": 142, "8134447932243347": 142, "8135194182395935": 142, "8135491013526917": 142, "8135793805122375": 142, "81363296508789": 142, "8136677742004395": 142, "813690185546875": 142, "8137688040733337": 142, "8137708306312561": 142, "81377410888672": 142, "8137955069541931": 142, "8138677477836609": 142, "8138747811317444": 142, "8138811588287354": 142, "8139190077781677": 142, "8139813542366028": 142, "8140619397163391": 142, "8140926361083984": 142, "8140957951545715": 142, "814131259918213": 142, "8141387104988098": 142, "8141486048698425": 142, "814164638519287": 142, "8141729831695557": 142, "8141854405403137": 142, "814186096191406": 142, "814191997051239": 142, "814204752445221": 142, "8142295479774475": 142, "8143821358680725": 142, "814387083053589": 142, "8144265356883452": 142, "8144265356883461": 142, "8144265413284302": 142, "814434051513672": 142, "8144491314888": 142, "8145530819892883": 142, "814573347568512": 142, "8145778775215149": 142, "8146209120750427": 142, "8146328926086426": 142, "814640462398529": 142, "814661026000977": 142, "81466144323349": 142, "8146830201148987": 142, "81469727e": 134, "8147": 142, "8147059082984924": 142, "8147241473197937": 142, "814738": 153, "8147552013397217": 142, "8147557377815247": 142, "8147570490837097": 142, "8147802352905273": 142, "8148226141929626": 142, "8148560523986816": 142, "814889669418335": 142, "814897537231445": 142, "8149110674858093": 142, "8149232268333435": 142, "8149335980415344": 142, "8149351477622986": 142, "8149356245994568": 142, "8149945139884949": 142, "814999580383301": 142, "814kb": 134, "8151063323020935": 142, "815128326416016": 142, "81516456604004": 142, "8151717782020569": 142, "815173": [147, 149], "8151745796203613": 142, "8152027726173401": 142, "8152264952659607": 142, "8152409195899963": 142, "8152801394462585": 142, "8152966499328613": 142, "815305709838867": 142, "8153224587440491": 142, "8153654932975769": 142, "8153967261314392": 142, "8154045939445496": 142, "815455913543701": 142, "8154906630516052": 142, "815509021282196": 142, "815528154373169": 142, "8155383467674255": 142, "8155515789985657": 142, "81560707092285": 142, "81562614440918": 142, "8156436085700989": 142, "8156804442405701": 142, "8157011866569519": 142, "815760612487793": 142, "8157607913017273": 142, "815781593322754": 142, "8157901763916": 142, "8157983422279358": 142, "815814971923828": 142, "815824508666992": 142, "8158662915229797": 142, "8158870339393616": 142, "8159": 142, "815954208374023": 142, "8159573674201965": 142, "8159634470939636": 142, "8160129189491272": 142, "8160274624824524": 142, "8160400390625": 142, "8161025047302246": 142, "8161065578460693": 142, "8161165714263916": 142, "8161256313323975": 142, "8161523938179016": 142, "8161559700965881": 142, "8161826133728027": 142, "816183865070343": 142, "8161866068840027": 142, "816204071044922": 142, "8162184357643127": 142, "8162811398506165": 142, "8162886500358582": 142, "8163197636604309": 142, "816339910030365": 142, "81634521484375": 142, "81640362739563": 142, "816422164440155": 142, "816461980342865": 142, "8164864182472229": 142, "8165125250816345": 142, "8165431618690491": 142, "8165528178215027": 142, "816585540771484": 142, "8165877461433411": 142, "8166700005531311": 142, "8166835904121399": 142, "8166907429695129": 142, "816699981689453": 142, "8167009353637695": 142, "8167269229888916": 142, "816743850708008": 142, "8167903423309326": 142, "8168023228645325": 142, "8168156743049622": 142, "8168487548828125": 142, "81685471534729": 142, "8169465661048889": 142, "8169479966163635": 142, "8169493079185486": 142, "8169507384300232": 142, "817041397094727": 142, "8170477747917175": 142, "8170756697654724": 142, "8170872330665588": 142, "8170897960662842": 142, "8171020150184631": 142, "8171940445899963": 142, "817229688167572": 142, "8173009753227234": 142, "8173446655273438": 142, "8173735737800598": 142, "8173786997795105": 142, "8173961043357849": 142, "817407608032227": 142, "8174406886100769": 142, "8174418807029724": 142, "8174471855163574": 142, "8174828886985779": 142, "8174987435340881": 142, "817502975463867": 142, "8175352215766907": 142, "8175714015960693": 142, "8176013827323914": 142, "8176486492156982": 142, "817667543888092": 142, "8176695704460144": 142, "8176793456077576": 142, "8176817893981934": 142, "8176867961883545": 142, "817693293094635": 142, "8177091479301453": 142, "8177122473716736": 142, "8177490234375": 142, "8177876472473145": 142, "8178473114967346": 142, "8178572058677673": 142, "8178685307502747": 142, "817909240722656": 142, "8179099559783936": 142, "8179464936256409": 142, "8179585933685303": 142, "8179790377616882": 142, "817995071411133": 142, "818": 142, "8180434107780457": 142, "81805419921875": 142, "8180963397026062": 142, "8180973529815674": 142, "818167507648468": 142, "818174362182617": 142, "8181799054145813": 142, "81819224357605": 142, "8182": 142, "818231582641602": 142, "81828498840332": 142, "818317711353302": 142, "8183529376983643": 142, "8183887600898743": 142, "818391799926758": 142, "8184378743171692": 142, "8184415698051453": 142, "8184460997581482": 142, "8184729218482971": 142, "8184744715690613": 142, "818479537963867": 142, "8184865117073059": 142, "8184871673584": 142, "818500518798828": 142, "8185228705406189": 142, "818591356277466": 142, "8186596035957336": 142, "8186782002449036": 142, "81871223449707": 142, "8187711238861084": 142, "81877899169922": 142, "8187808990478516": 142, "818813145160675": 142, "8188634514808655": 142, "818863570690155": 142, "818878412246704": 142, "818889617919922": 142, "8188993334770203": 142, "8189330697059631": 142, "8189519047737122": 142, "819": 142, "8190": 142, "8191035389900208": 142, "8191148638725281": 142, "8191350102424622": 142, "8191440105438232": 142, "819164514541626": 142, "8192088007926941": 142, "8192149996757507": 142, "8192572593688965": 142, "8192594051361084": 142, "819273054599762": 142, "81927b78d9e4184cc3c398e79760126a": 131, "819286346435547": 142, "819307565689087": 142, "8193554878234863": 142, "8193643689155579": 142, "8193667531013489": 142, "8194408416748047": 142, "8194431662559509": 142, "819459855556488": 142, "8194663524627686": 142, "8194689154624939": 142, "8194918632507324": 142, "81952476501465": 142, "819525420665741": 142, "8195399641990662": 142, "819550037384033": 142, "8197123408317566": 142, "8197243213653564": 142, "8197271227836609": 142, "8197707533836365": 142, "8198017477989197": 142, "8198143839836121": 142, "8198184967041": 142, "8198708891868591": 142, "819904327392578": 142, "8199400901794434": 142, "8199455142021179": 142, "8199479579925537": 142, "81995391845703": 142, "8199641108512878": 142, "81it": 147, "81m": 134, "82": [129, 132, 134, 142, 147, 149, 157], "820": 142, "8200": 142, "8200070261955261": 142, "820012629032135": 142, "8200508952140808": 142, "8200581669807434": 142, "820077896118164": 142, "8200997710227966": 142, "8201393485069275": 142, "8201491236686707": 142, "8202131390571594": 142, "8202142119407654": 142, "8202541470527649": 142, "8202576637268066": 142, "8202618956565857": 142, "8202845454216003": 142, "8203": 142, "820330858230591": 142, "8203423023223877": 142, "8203864097595215": 142, "820390701293945": 142, "820396900177002": 142, "8204": 154, "8204073309898376": 142, "820436477661133": 142, "8204388618469238": 142, "820495069026947": 142, "82049959897995": 142, "8205000758171082": 142, "8205226063728333": 142, "8205350041389465": 142, "8206188082695007": 142, "8206369280815125": 142, "8206797242164612": 142, "8207247257232666": 142, "820768356323242": 142, "8207993507385254": 142, "820827007293701": 142, "82085609436035": 142, "820877075195312": 142, "820907592773438": 142, "8209120631217957": 142, "820960998535156": 142, "8209846615791321": 142, "820985734462738": 142, "8210101127624512": 142, "8210372924804688": 142, "8211": 142, "8211256861686707": 142, "8211506009101868": 142, "8211594223976135": 142, "82119083404541": 142, "8212087154388428": 142, "8212127089500427": 142, "8212177157402039": 142, "8212278485298157": 142, "821256160736084": 142, "8212562776890473": 142, "8212562776890477": 142, "821256277689048": 142, "8212562776890486": 142, "8212562776890495": 142, "82125627768905": 142, "8212630152702332": 142, "821276627923945": 142, "821276664733887": 142, "821279525756836": 142, "8213131427764893": 142, "8213685154914856": 142, "82137531042099": 142, "8214242458343506": 142, "8214304447174072": 142, "8214446902275085": 142, "8214682936668396": 142, "821507215499878": 142, "821521759033203": 142, "8215388655662537": 142, "821560859680176": 142, "821582317352295": 142, "8216090202331543": 142, "82163429260254": 142, "821672439575195": 142, "8216726183891296": 142, "821685791015625": 142, "8217127919197083": 142, "821743965148926": 142, "8217940926551819": 142, "821838140487671": 142, "8218562602996826": 142, "821866035461426": 142, "8218705654144287": 142, "8219": 142, "821911334991455": 142, "8219309449195862": 142, "8219370245933533": 142, "8219509720802307": 142, "8219552040100098": 142, "8219566941261292": 142, "8219637274742126": 142, "8220153450965881": 142, "822049081325531": 142, "8221": 142, "8222150206565857": 142, "8222343921661377": 142, "8222475647926331": 142, "82225227355957": 142, "8222873210906982": 142, "8222902417182922": 142, "8223664164543152": 142, "822376251220703": 142, "822418212890625": 142, "8224318623542786": 142, "822453737258911": 142, "822462558746338": 142, "8225293159484863": 142, "8225842118263245": 142, "8225958347320557": 142, "8226683735847473": 142, "8226720690727234": 142, "8226785063743591": 142, "822715759277344": 142, "822742462158203": 142, "822766065597534": 142, "8227681517601013": 142, "8227965235710144": 142, "8228185176849365": 142, "822826087474823": 142, "8228612542152405": 142, "8228635191917419": 142, "8228763937950134": 142, "8228775858879089": 142, "8228824138641357": 142, "8229020237922668": 142, "822934091091156": 142, "8229872584342957": 142, "823": 142, "8230037689209": 142, "8230498433113098": 142, "8230529427528381": 142, "8231325149536133": 142, "8231518864631653": 142, "8231948018074036": 142, "8232240676879883": 142, "823281764984131": 142, "823282480239868": 142, "8232884407043457": 142, "8232902884483337": 142, "8233558535575867": 142, "8233667016029358": 142, "82338523864746": 142, "823418378829956": 142, "8234190344810486": 142, "8234326243400574": 142, "8234977126121521": 142, "8235": 142, "8235010504722595": 142, "8235176205635071": 142, "8235225677490234": 142, "8235597610473633": 142, "8235641121864319": 142, "8235653042793274": 142, "8236191272735596": 142, "823640": 153, "8236467242240906": 142, "8236499428749084": 142, "8236715197563171": 142, "823688507080078": 142, "8237207531929016": 142, "823753595352173": 142, "8238679766654968": 142, "8239142894744873": 142, "823932647705078": 142, "82396697998047": 142, "8239784240722656": 142, "8239808678627014": 142, "824021339416504": 142, "824054479598999": 142, "8240557312965393": 142, "8240637183189392": 142, "8240737915039062": 142, "8240839838981628": 142, "824098587036133": 142, "8240999579429626": 142, "824139595031738": 142, "8241806030273438": 142, "824195623397827": 142, "8242035508155823": 142, "8242597579956055": 142, "8243232369422913": 142, "8243582844734192": 142, "8243710398674011": 142, "8244219422340393": 142, "8244436383247375": 142, "8244820237159729": 142, "8245067000389099": 142, "8245472311973572": 142, "8245528340339661": 142, "8245792388916": 142, "824584722518921": 142, "8246102929115295": 142, "82461166381836": 142, "824636459350586": 142, "824657440185547": 142, "824681043624878": 142, "8247056603431702": 142, "8247341513633728": 142, "8247530460357666": 142, "8247607350349426": 142, "8247764110565186": 142, "8248469233512878": 142, "8248627781867981": 142, "8248961567878723": 142, "8249": 142, "8249900937080383": 142, "8250110149383545": 142, "8250417709350586": 142, "8250465393066406": 142, "8250603079795837": 142, "8250716328620911": 142, "8251": 142, "825115203857422": 142, "8251561522483826": 142, "8251604437828064": 142, "8252077102661133": 142, "825225591659546": 142, "82522964477539": 142, "825230836868286": 142, "82527732849121": 142, "8252852559089661": 142, "8253172039985657": 142, "8253228068351746": 142, "8253352642059326": 142, "825389862060547": 142, "82541275024414": 142, "8254191875457764": 142, "8254539370536804": 142, "8254554867744446": 142, "825510025024414": 142, "825523853302002": 142, "8255326747894287": 142, "825538635253906": 142, "8255471587181091": 142, "825657308101654": 142, "825666904449463": 142, "8256729245185852": 142, "8256959915161133": 142, "8257": 142, "8257082104682922": 142, "8257558941841125": 142, "8257624506950378": 142, "8257966637611389": 142, "8258025646209717": 142, "825819730758667": 142, "825828552246094": 142, "825841903686523": 142, "8258575797080994": 142, "8259087204933167": 142, "8260264992713928": 142, "826051950454712": 142, "8260653614997864": 142, "8260957598686218": 142, "8261301517486572": 142, "8261498808860779": 142, "826154887676239": 142, "826162099838257": 142, "826170": 153, "826181411743164": 142, "826183319091797": 142, "82618693": 151, "8262": 142, "8262216448783875": 142, "826244354248047": 142, "8262520432472229": 142, "8262712359428406": 142, "8262713551521301": 142, "826347827911377": 142, "8263635635375977": 142, "8264265060424805": 142, "8264553546905518": 142, "8264827728271484": 142, "8264861702919006": 142, "8265288472175598": 142, "8265379071235657": 142, "8265416026115417": 142, "8265438079834": 142, "8265491127967834": 142, "82659649848938": 142, "8266631960868835": 142, "8266980051994324": 142, "8267": 142, "826701641082764": 142, "826772689819336": 142, "8267862796783447": 142, "82679392": 132, "8267939686775208": 142, "8267974257469177": 142, "8267999291419983": 142, "8268043994903564": 142, "8268194198608398": 142, "8268208503723145": 142, "8268453478813171": 142, "8268468976020813": 142, "8268496990203857": 142, "8268797397613525": 142, "826938152313232": 142, "8269546031951904": 142, "82695960998535": 142, "827": 142, "8271132111549377": 142, "827189028263092": 142, "8272097706794739": 142, "8272175192832947": 142, "827266693115234": 142, "8272749781608582": 142, "8272966742515564": 142, "8273221850395203": 142, "8273326754570007": 142, "8273361325263977": 142, "8273470401763916": 142, "827375411987305": 142, "8273815512657166": 142, "8274126052856445": 142, "8274137377738953": 142, "8274300694465637": 142, "827500343322754": 142, "827531814575195": 142, "82753986120224": 142, "827557384967804": 142, "8275824189186096": 142, "8276": 142, "827604293823242": 142, "8276752829551697": 142, "8276841044425964": 142, "8277": 142, "82770037651062": 142, "8277387619018555": 142, "8277658820152283": 142, "8278030753135681": 142, "827810049057007": 142, "8278966546058655": 142, "8279044032096863": 142, "8279199004173279": 142, "827930450439453": 142, "828": 142, "8280680179595947": 142, "8281225562095642": 142, "828131675720215": 142, "8281518816947937": 142, "8282": 142, "82821273803711": 142, "8282355666160583": 142, "828248977661133": 142, "8283362984657288": 142, "828382670879364": 142, "82841157913208": 142, "8284384608268738": 142, "8285141587257385": 142, "8285369873046875": 142, "8285382390022278": 142, "8285738825798035": 142, "8285871148109436": 142, "8286008238792419": 142, "8286206126213074": 142, "8286282420158386": 142, "828689575195312": 142, "82870101928711": 142, "828798294067383": 142, "8287e": 148, "828807830810547": 142, "8288385272026062": 142, "8288628458976746": 142, "8289086222648621": 142, "8289113640785217": 142, "8289324641227722": 142, "8289569020271301": 142, "8289971351623535": 142, "829": 142, "8290": 148, "8290030360221863": 142, "8290413022041321": 142, "829054117202759": 142, "8290618062019348": 142, "829105794429779": 142, "8292253613471985": 142, "8292558193206787": 142, "829265594482422": 142, "829280853271484": 142, "8292877078056335": 142, "8293147683143616": 142, "8293678760528564": 142, "829381942749023": 142, "8294079899787903": 142, "8294404149055481": 142, "8294468522071838": 142, "829448699951172": 142, "8294575810432434": 142, "8294763565063477": 142, "82950782775879": 142, "8295684456825256": 142, "8295980095863342": 142, "8296322226524353": 142, "829728603363037": 142, "8297294974327087": 142, "8297398686408997": 142, "8298180103302": 142, "8298375606536865": 142, "829883575439453": 142, "82990074157715": 142, "82991886138916": 142, "82e": 147, "82m": 134, "83": [54, 55, 80, 81, 97, 98, 132, 134, 147, 149, 157], "830": 142, "830021321773529": 142, "8300471901893616": 142, "830049514770508": 142, "830080509185791": 142, "8301457762718201": 142, "8301565647125244": 142, "8301597237586975": 142, "8301655650138855": 142, "830176591873169": 142, "8302767872810364": 142, "830298125743866": 142, "830324172973633": 142, "8303346037864685": 142, "8303543925285339": 142, "830368041992188": 142, "8304030299186707": 142, "8304138779640198": 142, "8304577469825745": 142, "830460548400879": 142, "8305065035820007": 142, "83051872253418": 142, "8305283188819885": 142, "8305318355560303": 142, "83053970336914": 142, "830543041229248": 142, "8305531144142151": 142, "8306310772895813": 142, "8306780457496643": 142, "8306941986084": 142, "830698013305664": 142, "8307018280029297": 142, "830730438232422": 142, "8307656645774841": 142, "830842971801758": 142, "8308563828468323": 142, "830869436264038": 142, "831": [132, 157], "8310070037841797": 142, "8310099244117737": 142, "8310336470603943": 142, "8310390114784241": 142, "8310959339141846": 142, "8310981392860413": 142, "8311": 142, "8311057090759277": 142, "831110417842865": 142, "831116199493408": 142, "8311838507652283": 142, "8312": 142, "8312047123908997": 142, "8312082886695862": 142, "8312256336212158": 142, "83125114440918": 142, "8312757611274719": 142, "8313478827476501": 142, "831354558467865": 142, "8313605785369873": 142, "831376075744629": 142, "831382691860199": 142, "8313e": 147, "8314929604530334": 142, "83149528503418": 142, "831497192382812": 142, "8315092921257019": 142, "83153533935547": 142, "8315791487693787": 142, "83159065246582": 142, "8316165804862976": 142, "8316698670387268": 142, "8316786289215088": 142, "8317041397094727": 142, "8317044377326965": 142, "8317260146141052": 142, "8317323327064514": 142, "83173370361328": 142, "8317362666130066": 142, "8317380547523499": 142, "8317477107048035": 142, "8317975997924805": 142, "8318428993225098": 142, "831845283508301": 142, "8318538069725037": 142, "831871032714844": 142, "8319005966186523": 142, "8319345116615295": 142, "83194899559021": 142, "831960678100586": 142, "8319651484489441": 142, "8319769501686096": 142, "832": [132, 157], "8320387005805969": 142, "8320648074150085": 142, "832067489624023": 142, "8320783972740173": 142, "832101821899414": 142, "8321139216423035": 142, "8321232795715332": 142, "832164764404297": 142, "8322": 154, "8322435021400452": 142, "8323073387145996": 142, "8323206901550293": 142, "832331657409668": 142, "8323630690574646": 142, "8323869705200195": 142, "8323892951011658": 142, "832460343837738": 142, "8324632048606873": 142, "8324682116508484": 142, "8324766755104065": 142, "832476794719696": 142, "8325440883636475": 142, "8326064944267273": 142, "832717895507812": 142, "8327694535255432": 142, "832771360874176": 142, "832798182964325": 142, "8328065872192383": 142, "8328790068626404": 142, "832902908325195": 142, "832906186580658": 142, "8329597115516663": 142, "832970142364502": 142, "833": 142, "8330063819885254": 142, "83301043510437": 142, "833113670349121": 142, "8331146836280823": 142, "8331408500671387": 142, "833144426345825": 142, "8331581950187683": 142, "8331760764122009": 142, "8332012295722961": 142, "83321762084961": 142, "833219587802887": 142, "83330726623535": 142, "833324432373047": 142, "8333492279052734": 142, "8333559632301331": 142, "833357334136963": 142, "8333626389503479": 142, "833386242389679": 142, "8334481120109558": 142, "8334991335868835": 142, "833524703979492": 142, "833528995513916": 142, "833589553833008": 142, "8336039185523987": 142, "8336811661720276": 142, "833719730377197": 142, "8337645530700684": 142, "8337870240211487": 142, "8337880969047546": 142, "833797454833984": 142, "833800792694092": 142, "8338111042976379": 142, "8338243365287781": 142, "8338443636894226": 142, "8338680267334": 142, "833871841430664": 142, "833936870098114": 142, "8339381814002991": 142, "8339690566062927": 142, "83397102355957": 142, "834001541137695": 142, "8340302109718323": 142, "8341959118843079": 142, "8342041373252869": 142, "834245681762695": 142, "834301471710205": 142, "83432388305664": 142, "8343353271484375": 142, "834349155426025": 142, "8343600630760193": 142, "834381103515625": 142, "8343818187713623": 142, "8343899250030518": 142, "83440589904785": 142, "8344115614891052": 142, "8344294428825378": 142, "8344783782959": 142, "8345127701759338": 142, "834569931030273": 142, "8345735669136047": 142, "8345890045166": 142, "8346046805381775": 142, "834657669067383": 142, "8346579670906067": 142, "83469820022583": 142, "8347241282463074": 142, "8347280025482178": 142, "8347294330596924": 142, "8347442150115967": 142, "83478546142578": 142, "834800720214844": 142, "8348281979560852": 142, "8348371386528015": 142, "8348494172096252": 142, "8348514437675476": 142, "8348812460899353": 142, "8349220156669617": 142, "83493995666504": 142, "8349502682685852": 142, "8350589871406555": 142, "8350813388824463": 142, "8351559042930603": 142, "8352155685424805": 142, "8352417349815369": 142, "8352417945861816": 142, "835244357585907": 142, "8353773951530457": 142, "8354149460792542": 142, "8354249000549316": 142, "835476": 153, "83548355102539": 142, "8354897499084473": 142, "835521697998047": 142, "835554122924805": 142, "8355687260627747": 142, "835669219493866": 142, "835681140422821": 142, "8357157707214355": 142, "8357215523719788": 142, "8357222676277161": 142, "83573341369629": 142, "8357417583465576": 142, "8357568383216858": 142, "835758626461029": 142, "835787057876587": 142, "8358044624328613": 142, "8358229994773865": 142, "8358317017555237": 142, "83583927154541": 142, "835840225219727": 142, "8358514904975891": 142, "835891723632812": 142, "8359050154685974": 142, "8359139561653137": 142, "8359240889549255": 142, "8359267711639404": 142, "8359344005584717": 142, "8359816670417786": 142, "8359864354133606": 142, "8359927535057068": 142, "835kb": 134, "8360": 142, "83605194091797": 142, "836082458496094": 142, "8360958099365234": 142, "8361": 142, "836103439331055": 142, "836124897003174": 142, "8362011909484863": 142, "836231231689453": 142, "836272656917572": 142, "83628273010254": 142, "8363191485404968": 142, "8363866806030273": 142, "8363872170448303": 142, "8363979458808899": 142, "8364": 147, "8364014029502869": 142, "8364018797874451": 142, "8364073634147644": 142, "8364315032959": 142, "8364360928535461": 142, "8364899158477783": 142, "8364911675453186": 142, "8365185856819153": 142, "836524963378906": 142, "836532592773438": 142, "83655548095703": 142, "836658477783203": 142, "8366618156433105": 142, "836676597595215": 142, "836677074432373": 142, "8366939425468445": 142, "8367246985435486": 142, "8367834687232971": 142, "8368446826934814": 142, "8368573784828186": 142, "8368691802024841": 142, "8369429111480713": 142, "836946427822113": 142, "83694839477539": 142, "836950302124023": 142, "8369836211204529": 142, "836999893188477": 142, "8370062708854675": 142, "837032318115234": 142, "837072372436523": 142, "8370988368988037": 142, "8371084209427546": 147, "8371792435646057": 142, "837196409702301": 142, "8372": 142, "837229311466217": 142, "83727264404297": 142, "8372913002967834": 142, "83730697631836": 142, "8373139500617981": 142, "8373282551765442": 142, "8373429775238037": 142, "837345123291016": 142, "837419509887695": 142, "8374297618865967": 142, "837446212768555": 142, "837472915649414": 142, "8374741673469543": 142, "8374817967414856": 142, "8375170826911926": 142, "83755874633789": 142, "8376284241676331": 142, "837648391723633": 142, "837656021118164": 142, "83767318725586": 142, "8376872539520264": 142, "83773422241211": 142, "837739884853363": 142, "837749719619751": 142, "8377947211265564": 142, "837797164916992": 142, "8378": 142, "8378036618232727": 142, "837804794311523": 142, "8378211855888367": 142, "837900161743164": 142, "8379022479057312": 142, "8379057049751282": 142, "8379626870155334": 142, "8379654288291931": 142, "8379825949668884": 142, "838": 134, "838023662567139": 142, "8380375504493713": 142, "8380436301231384": 142, "838067054748535": 142, "8380977511405945": 142, "8381171226501465": 142, "8382084369659424": 142, "838218688964844": 142, "838226318359375": 142, "838275909423828": 142, "8382840752601624": 142, "8382948040962219": 142, "8383274674415588": 142, "8383727073669434": 142, "83841323852539": 142, "8384263515472412": 142, "8384825587272644": 142, "838482677936554": 142, "838558197021484": 142, "83857536315918": 142, "838577270507812": 142, "8386361598968506": 142, "8386993408203125": 142, "8387086987495422": 142, "8387616276741028": 142, "8387914299964905": 142, "838809967041016": 142, "8388833403587341": 142, "8389": 142, "8389621376991272": 142, "8389679789543152": 142, "8389819264411926": 142, "8389837145805359": 142, "838kb": 134, "839": 142, "8390123844146729": 142, "839020729064941": 142, "8390318751335144": 142, "8390350341796875": 142, "839101791381836": 142, "8391170501709": 142, "8391229510307312": 142, "8391409516334534": 142, "839147567749023": 142, "839175224304199": 142, "83919757604599": 142, "8391998410224915": 142, "839231491088867": 142, "839240789413452": 142, "8392459750175476": 142, "839258193969727": 142, "83926010131836": 142, "839284896850586": 142, "8392949104309082": 142, "8393": 142, "8393538594245911": 142, "8393709063529968": 142, "8393929600715637": 142, "839393675327301": 142, "8394502997398376": 142, "8394718170166": 142, "8394860625267029": 142, "8395114541053772": 142, "83962059020996": 142, "839632034301758": 142, "8396533131599426": 142, "839658737182617": 142, "8397274017334": 142, "839744508266449": 142, "8398780226707458": 142, "83987808227539": 142, "8399245142936707": 142, "839981079101562": 142, "8399891257286072": 142, "83aa": 142, "83e": 147, "83it": 147, "83m": [134, 139, 144, 158], "84": [132, 134, 142, 147, 149, 157], "840011596679688": 142, "8400376439094543": 142, "8400465846061707": 142, "8401032090187073": 142, "8401332497596741": 142, "8401338458061218": 142, "8401902318000793": 142, "8402025103569031": 142, "8402188420295715": 142, "840312957763672": 142, "8403427004814148": 142, "8403500914573669": 142, "840354919433594": 142, "8403573632240295": 142, "8403647541999817": 142, "840402603149414": 142, "8404439091682434": 142, "840450286865234": 142, "8404702544212341": 142, "8404911160469055": 142, "8404962420463562": 142, "84050941467285": 142, "84052276611328": 142, "840532302856445": 142, "840547561645508": 142, "840569019317627": 142, "8407027125358582": 142, "8407467007637024": 142, "840747594833374": 142, "840779721736908": 142, "84089469909668": 142, "840903103351593": 142, "8409318327903748": 142, "840965211391449": 142, "84098881483078": 142, "8409942984580994": 142, "8410055041313171": 142, "84100914001465": 142, "841066360473633": 142, "8410664200782776": 142, "8411": 142, "841100692749023": 142, "8411657214164734": 142, "8411757349967957": 142, "841224730014801": 142, "8412755131721497": 142, "8413378596305847": 142, "8413504958152771": 142, "84135627746582": 142, "8413713574409485": 142, "841407537460327": 142, "8414742350578308": 142, "8414791226387024": 142, "8414899706840515": 142, "841495513916016": 142, "8414973616600037": 142, "8415": 147, "84150505065918": 142, "841524124145508": 142, "841555655002594": 142, "841556549072266": 142, "841571033000946": 142, "8415729999542236": 142, "8415948748588562": 142, "8416994214057922": 142, "841753005981445": 142, "8418": 142, "84182357788086": 142, "8418322205543518": 142, "841859817504883": 142, "841880798339844": 142, "8419065475463867": 142, "8419201374053955": 142, "8419702649116516": 142, "84197425842285": 142, "8419979214668274": 142, "841g": 129, "842": 142, "842004776000977": 142, "8420403003692627": 142, "8420632481575012": 142, "842086791992188": 142, "842145919799805": 142, "842161178588867": 142, "8421749472618103": 142, "8421761989593506": 142, "8422": 142, "8422080874443054": 142, "842214584350586": 142, "842222213745117": 142, "842267990112305": 142, "8422820568084717": 142, "8422860503196716": 142, "8423425555229187": 142, "842382431030273": 142, "8424062132835388": 142, "842412233352661": 142, "842447817325592": 142, "842459499835968": 142, "8424612879753113": 142, "8425710797309875": 142, "842578887939453": 142, "8425810933113098": 142, "8425912261009216": 142, "8425975441932678": 142, "8426": 142, "8426110148429871": 142, "8426547050476074": 142, "84265899658203": 142, "842689573764801": 142, "8426921963691711": 142, "8426932692527771": 142, "842716634273529": 142, "842723846435547": 142, "8427332043647766": 142, "842735290527344": 142, "842741012573242": 142, "842782974243164": 142, "8428907990455627": 142, "8429482579231262": 142, "842971801757812": 142, "8430233001709": 142, "84303092956543": 142, "8430436253547668": 142, "8430634140968323": 142, "8430867195129395": 142, "8430939316749573": 142, "8431003093719482": 142, "8431172370910645": 142, "8431231379508972": 142, "8431716561317444": 142, "8432": 142, "8432538509368896": 142, "84326934814453": 142, "843374252319336": 142, "8434026837348938": 142, "843429565429688": 142, "8434370160102844": 142, "843442916870117": 142, "8434516787528992": 142, "843475341796875": 142, "8435": 142, "8435347676277161": 142, "8435564041137695": 142, "8436": 142, "8436018824577332": 142, "84363555908203": 142, "8437089323997498": 142, "8437111973762512": 142, "8437612652778625": 142, "8437985777854919": 142, "8438020348548889": 142, "84382563829422": 142, "8438394665718079": 142, "8438445925712585": 142, "8438521027565002": 142, "8439": 142, "8439016342163086": 142, "8439109325408936": 142, "843914031982422": 142, "8439237475395203": 142, "8439485430717468": 142, "843976974487305": 142, "844": 142, "844027280807495": 142, "844028890132904": 142, "8440448641777039": 142, "8441162109375": 142, "844132125377655": 142, "8441445231437683": 142, "844144821166992": 142, "8441774249076843": 142, "8441808223724365": 142, "8442190289497375": 142, "84424aa2ad30301e23ece1438ea39923": 129, "844263076782227": 142, "8443": 154, "8443396687507629": 142, "8443424105644226": 142, "8444090485572815": 142, "8444164395332336": 142, "8444411754608154": 142, "8444556593894958": 142, "8445851802825928": 142, "8445932269096375": 142, "844595730304718": 142, "8446": 142, "844636917114258": 142, "8446421027183533": 142, "844724714756012": 142, "844761848449707": 142, "8447826504707336": 142, "8448224663734436": 142, "8448930382728577": 142, "8449234366416931": 142, "8449268937110901": 142, "844935417175293": 142, "844963788986206": 142, "845": 142, "8450250029563904": 142, "84505271911621": 142, "8450835347175598": 142, "8450900912284851": 142, "8451189398765564": 142, "8451210856437683": 142, "84517478942871": 142, "8451886773109436": 142, "845216751098633": 142, "8452208638191223": 142, "84522819519043": 142, "8452646732330322": 142, "8452751040458679": 142, "8453372120857239": 142, "8453736305236816": 142, "8453975319862366": 142, "845409393310547": 142, "84541255235672": 142, "8454151153564453": 142, "8454260230064392": 142, "8454473614692688": 142, "845487594604492": 142, "8455032706260681": 142, "8455429077148438": 142, "8456": 142, "8456008434295654": 142, "8457298874855042": 142, "8457317352294922": 142, "84573700e": [147, 149], "8457558155059814": 142, "845772743225098": 142, "8457980751991272": 142, "84581756591797": 142, "8458922505378723": 142, "845939": [147, 149], "8459450602531433": 142, "8459479212760925": 142, "846": [142, 147], "84600000e": [147, 149], "8460230231285095": 142, "8460987210273743": 142, "846100389957428": 142, "8461208939552307": 142, "8461359143257141": 142, "846199095249176": 142, "8462": 142, "8462088704109192": 142, "8462100625038147": 142, "846261978149414": 142, "8462651371955872": 142, "8463547825813293": 142, "84635853767395": 142, "846359968185425": 142, "8463745713233948": 142, "8463878035545349": 142, "8465239405632019": 142, "8465408682823181": 142, "8465420603752136": 142, "8465576171875": 142, "8466420769691467": 142, "8466705679893494": 142, "846705913543701": 142, "8467194437980652": 142, "846723556518555": 142, "846746921539307": 142, "8467719554901123": 142, "846782922744751": 142, "8468": 142, "8468019366264343": 142, "8468466401100159": 142, "8468480706214905": 142, "8468780517578125": 142, "8469687104225159": 142, "8470247387886047": 142, "8470268845558167": 142, "8470286726951599": 142, "847068786621094": 142, "8471201062202454": 142, "8471510410308838": 142, "847151756286621": 142, "847158908843994": 142, "847190856933594": 142, "8472378849983215": 142, "8472577929496765": 142, "8472922444343567": 142, "8473252654075623": 142, "8473634123802185": 142, "8474698662757874": 142, "847473382949829": 142, "847570419311523": 142, "8475742936134338": 142, "8476126790046692": 142, "847717821598053": 142, "847755432128906": 142, "8477854132652283": 142, "8478063941001892": 142, "8478389382362366": 142, "8478537201881409": 142, "8478583693504333": 142, "8479": 142, "8479464650154114": 142, "8479564785957336": 142, "8479622006416321": 142, "847982168197632": 142, "848081588745117": 142, "848156452178955": 142, "848196029663086": 142, "8481962084770203": 142, "84822678565979": 142, "8482379913330078": 142, "848264753818512": 142, "84832763671875": 142, "8483749032020569": 142, "8484355807304382": 142, "8484479784965515": 142, "8484516739845276": 142, "8484764695167542": 142, "8484974503517151": 142, "8485498428344727": 142, "8485584855079651": 142, "848587036132812": 142, "8486725687980652": 142, "84868812561035": 142, "8486965298652649": 142, "8487": 142, "848709106445312": 142, "8487221598625183": 142, "8487364649772644": 142, "8487582206726074": 142, "8487586975097656": 142, "8488175868988037": 142, "8488455414772034": 142, "848915100097656": 142, "8489297032356262": 142, "84899640083313": 142, "849054": 142, "849059": 142, "849060": 142, "849067": 142, "849071": 142, "849073": 142, "849081": 142, "849082": 142, "849083": 142, "849084": 142, "849086": 142, "8491092324256897": 142, "8491252064704895": 142, "849132239818573": 142, "8491458296775818": 142, "8491541743278503": 142, "8491745591163635": 142, "8492546677589417": 142, "8493277430534363": 142, "8493279814720154": 142, "849345862865448": 142, "849353790283203": 142, "8494063019752502": 142, "8494067788124084": 142, "849414348602295": 142, "84944725036621": 142, "84945297241211": 142, "8494668006896973": 142, "8494719862937927": 142, "8494753241539001": 142, "8494943976402283": 142, "849510669708252": 142, "8495442271232605": 142, "8495946526527405": 142, "8496178984642029": 142, "8496246337890625": 142, "84965580701828": 142, "8497019410133362": 142, "8497059941291809": 142, "849720299243927": 142, "849729537963867": 142, "849788665771484": 142, "8498551249504089": 142, "8499820828437805": 142, "84e": 147, "84it": 147, "84m": 134, "85": [129, 134, 142, 145, 147, 149], "8500005602836609": 142, "850013": 142, "850014": 142, "850034": 142, "850036": 142, "850037": 142, "850049": 142, "850068": 142, "850083": 142, "8500879406929016": 142, "8501084446907043": 142, "850131": 142, "8501810431480408": 142, "8502206802368164": 142, "8502369523048401": 142, "850249": 142, "850290834903717": 142, "8503192067146301": 142, "8503549695014954": 142, "8504133224487305": 142, "850446701049805": 142, "850459098815918": 142, "850469172000885": 142, "8504855036735535": 142, "8505546450614929": 142, "8505768179893494": 142, "850580632686615": 142, "8505916595459": 142, "8505957722663879": 142, "8506107926368713": 142, "8506283164024353": 142, "8507": 142, "8508171439170837": 142, "8508293032646179": 142, "8508300185203552": 142, "8508553504943848": 142, "8508797287940979": 142, "8509262204170227": 142, "8509591221809387": 142, "850m": 129, "851": [132, 157], "8510107398033142": 142, "8510196805000305": 142, "8510560393333435": 142, "8510932922363281": 142, "8511437773704529": 142, "851198196411133": 142, "8512120246887207": 142, "8512322306632996": 142, "851249635219574": 142, "85132598876953": 142, "8513347506523132": 142, "851343154907227": 142, "8514437079429626": 142, "8514836430549622": 142, "851496696472168": 142, "851515293121338": 142, "8515995144844055": 142, "8516489863395691": 142, "851652145385742": 142, "85166358947754": 142, "8517178893089294": 142, "8517560362815857": 142, "8518001437187195": 142, "8518020510673523": 142, "8518142104148865": 142, "8518478274345398": 142, "8519434332847595": 142, "8519443869590759": 142, "8519474864006042": 142, "851990282535553": 142, "8520198464393616": 142, "8520390391349792": 142, "8520535826683044": 142, "8520577549934387": 142, "8521217703819275": 142, "8521259427070618": 142, "8521621823310852": 142, "852170944213867": 142, "85220718383789": 142, "8522166609764099": 142, "8522252440452576": 142, "8522983193397522": 142, "8524015545845032": 142, "8524420857429504": 142, "8524649739265442": 142, "8525638580322266": 142, "852636337280273": 142, "8528576493263245": 142, "8529127240180969": 142, "8529284596443176": 142, "8529549241065979": 142, "853": [132, 157], "8530": 142, "853013813495636": 142, "853194236755371": 142, "8532373309135437": 142, "8533092141151428": 142, "853328704833984": 142, "8533309102058411": 142, "8533803820610046": 142, "8533819317817688": 142, "8534302115440369": 142, "853445529937744": 142, "853463888168335": 142, "8534871935844421": 142, "8534918427467346": 142, "8535069823265076": 142, "8535246849060059": 142, "8535711765289307": 142, "853574752807617": 142, "8535872101783752": 142, "8536247611045837": 142, "8536776900291443": 142, "8537023663520813": 142, "853742599487305": 142, "8537598252296448": 142, "8537697792053223": 142, "8537793755531311": 142, "8538396954536438": 142, "8538524508476257": 142, "8538947701454163": 142, "8539": 142, "853908121585846": 142, "8539124131202698": 142, "8539305329322815": 142, "8539941906929016": 142, "8540136218070984": 142, "8540468215942383": 142, "8541308045387268": 142, "854135513305664": 142, "8541426062583923": 142, "8541709780693054": 142, "854175567626953": 142, "854190826416016": 142, "854196548461914": 142, "8542079329490662": 142, "854290783405304": 142, "8543": 142, "8543295860290527": 142, "854345321655273": 142, "8544057011604309": 142, "85442352294922": 142, "8544662594795227": 142, "8545213341712952": 142, "8545923829078674": 142, "8545969128608704": 142, "8546462655067444": 142, "8546513915061951": 142, "8546814322471619": 142, "8547611832618713": 142, "854773759841919": 142, "8547877669334412": 142, "8548226952552795": 142, "8548391461372375": 142, "8548452258110046": 142, "8548526763916": 142, "854856491088867": 142, "8548722863197327": 142, "8549073338508606": 142, "8549310564994812": 142, "8550522923469543": 142, "8550922274589539": 142, "8551011681556702": 142, "8551082611084": 142, "8551952242851257": 142, "8551998734474182": 142, "8552388548851013": 142, "8552462458610535": 142, "8552513718605042": 142, "8552524447441101": 142, "855265200138092": 142, "8552669882774353": 142, "8553397059440613": 142, "8553594946861267": 142, "855392456054688": 142, "85544000e": [147, 149], "8555411696434021": 142, "855552673339844": 142, "8555974364280701": 142, "8557029366493225": 142, "855766236782074": 142, "8557711243629456": 142, "85579490661621": 142, "85580062866211": 142, "8558034300804138": 142, "8558394312858582": 142, "8558432459831238": 142, "8558724522590637": 142, "855874240398407": 142, "8558844923973083": 142, "85590934753418": 142, "8559697270393372": 142, "856": 134, "8560581803321838": 142, "8560830950737": 142, "8561037182807922": 142, "856121063232422": 142, "8561237454414368": 142, "856130063533783": 142, "856130599975586": 142, "856225967407227": 142, "856247901916504": 142, "8562518954277039": 142, "8562671542167664": 142, "8563041090965271": 142, "8563218712806702": 142, "8564395308494568": 142, "8564596772193909": 142, "8564659953117371": 142, "8564837574958801": 142, "856516122817993": 142, "856517493724823": 142, "856522560119629": 142, "8565314412117004": 142, "8565438389778137": 142, "8565513491630554": 142, "8565534949302673": 142, "8565536141395569": 142, "8565575480461121": 142, "8565911650657654": 142, "8566083312034607": 142, "8566290736198425": 142, "8566680550575256": 142, "8566827178001404": 142, "8567091822624207": 142, "8567604422569275": 142, "8567842841148376": 142, "85679054260254": 142, "8567951321601868": 142, "8568072319030762": 142, "856807291507721": 142, "8568291068077087": 142, "8568632006645203": 142, "8568750023841858": 142, "8569034934043884": 142, "856921374797821": 142, "8569217324256897": 142, "856943130493164": 142, "8569538593292236": 142, "856970489025116": 142, "8569840788841248": 142, "8570201992988586": 142, "8570302128791809": 142, "8570703864097595": 142, "8571215271949768": 142, "8571342825889587": 142, "8571746349334717": 142, "8571766018867493": 142, "8571797013282776": 142, "8571972846984863": 142, "8572238087654114": 142, "8572579026222229": 142, "8573511242866516": 142, "8573654294013977": 142, "857395172119141": 142, "8574041724205017": 142, "8574416041374207": 142, "8574507832527161": 142, "8574588894844055": 142, "8574778437614441": 142, "857515335083008": 142, "8575653433799744": 142, "8576052784919739": 142, "8576206564903259": 142, "8576462864875793": 142, "8576574921607971": 142, "857658326625824": 142, "857658863067627": 142, "8576598763465881": 142, "85766339302063": 142, "8576900362968445": 142, "8576952815055847": 142, "8577": 154, "8577092289924622": 142, "8577130436897278": 142, "8577132821083069": 142, "8577439188957214": 142, "8577556014060974": 142, "8577627539634705": 142, "8577650189399719": 142, "8577691912651062": 142, "8577695488929749": 142, "8577982783317566": 142, "857801914215088": 142, "8578218817710876": 142, "8578264117240906": 142, "8578271269798279": 142, "8578425049781799": 142, "8578527569770813": 142, "8578605651855469": 142, "8578734993934631": 142, "8578870892524719": 142, "8579216599464417": 142, "8579567074775696": 142, "8579720854759216": 142, "8580": 142, "858009338378906": 142, "8580195307731628": 142, "8580214381217957": 142, "858058512210846": 142, "8580730557441711": 142, "8580842614173889": 142, "8580922484397888": 142, "8581": 142, "8581110835075378": 142, "8581253886222839": 142, "8581531643867493": 142, "858158111572266": 142, "8581636548042297": 142, "8581803441047668": 142, "8582044243812561": 142, "8582161068916321": 142, "8582187294960022": 142, "85821932554245": 142, "8582250475883484": 142, "8582355380058289": 142, "8582375645637512": 142, "8582727313041687": 142, "858275830745697": 142, "85830157995224": 142, "8583158850669861": 142, "858320236206055": 142, "8583257794380188": 142, "858360290527344": 142, "8583715558052063": 142, "8583802580833435": 142, "8584309220314026": 142, "8584368824958801": 142, "8584476113319397": 142, "858450710773468": 142, "858464777469635": 142, "858466625213623": 142, "8584709763526917": 142, "8585017323493958": 142, "8585190773010254": 142, "85852813720703": 142, "858552873134613": 142, "8585819602012634": 142, "8586029410362244": 142, "858611524105072": 142, "8586233258247375": 142, "858633041381836": 142, "8586351275444031": 142, "8586373925209045": 142, "8586451411247253": 142, "8586452603340149": 142, "8586496710777283": 142, "8586563467979431": 142, "8586665987968445": 142, "8586668372154236": 142, "8586676716804504": 142, "8586680293083191": 142, "8586694598197937": 142, "8586706519126892": 142, "8586738705635071": 142, "8586747050285339": 142, "858674943447113": 142, "8586823344230652": 142, "8586828112602234": 142, "858686447143555": 142, "8586874604225159": 142, "8586923480033875": 142, "858694553375244": 142, "8586964011192322": 142, "858701705932617": 142, "8587107062339783": 142, "8587223887443542": 142, "8587366938591003": 142, "85873794555664": 142, "8587421774864197": 142, "8587504029273987": 142, "858752489089966": 142, "8587650656700134": 142, "8587797284126282": 142, "8587999939918518": 142, "8587e": 147, "8588129878044128": 142, "8588138222694397": 142, "8588278889656067": 142, "8588327765464783": 142, "8588380217552185": 142, "85884666442871": 142, "8588740229606628": 142, "858874499797821": 142, "858890533447266": 142, "8589363694190979": 142, "858957827091217": 142, "8589833378791809": 142, "8589841723442078": 142, "8589981198310852": 142, "8590070605278015": 142, "8590496182441711": 142, "859060525894165": 142, "8590613007545471": 142, "8590644001960754": 142, "8590882420539856": 142, "859108030796051": 142, "8591287732124329": 142, "859132707118988": 142, "8591507077217102": 142, "85915122": 151, "8591691851615906": 142, "8591745495796204": 142, "859195709228516": 142, "8592149615287781": 142, "859221875667572": 142, "8592533469200134": 142, "8592537045478821": 142, "8592560887336731": 142, "8592937588691711": 142, "8593001961708069": 142, "8593286871910095": 142, "8593294024467468": 142, "8593632578849792": 142, "8593987822532654": 142, "8594101071357727": 142, "8594109416007996": 142, "859434187412262": 142, "859450817108154": 142, "859462559223175": 142, "8594697117805481": 142, "8594751358032227": 142, "8594834208488464": 142, "8594838976860046": 142, "859503448009491": 142, "8595374226570129": 142, "859569072723389": 142, "8595830798149109": 142, "8595990538597107": 142, "8596110343933105": 142, "8596407771110535": 142, "859697341918945": 142, "8597065806388855": 142, "859712600708008": 142, "8597385287284851": 142, "8597521185874939": 142, "8597673773765564": 142, "8597766757011414": 142, "859791100025177": 142, "8598453402519226": 142, "8598476052284241": 142, "8598820567131042": 142, "8598836064338684": 142, "8598871827125549": 142, "8598904013633728": 142, "8599147200584412": 142, "859942615032196": 142, "8599492907524109": 142, "8599554896354675": 142, "859957754611969": 142, "8599628806114197": 142, "8599689602851868": 142, "8599779009819031": 142, "8599807620048523": 142, "8599818348884583": 142, "8599860072135925": 142, "85cc": 134, "85it": [134, 138], "85m": 134, "85mb": 134, "86": [134, 142, 147, 149], "8600090146064758": 142, "8600167632102966": 142, "8600289225578308": 142, "8600407242774963": 142, "8600544333457947": 142, "8600606322288513": 142, "8600642085075378": 142, "8600706458091736": 142, "8600721955299377": 142, "8601": 142, "8601005673408508": 142, "8601189255714417": 142, "8601463437080383": 142, "8601602911949158": 142, "8601793646812439": 142, "8601862788200378": 142, "860197126865387": 142, "8602002263069153": 142, "8602316975593567": 142, "860238254070282": 142, "8602542281150818": 142, "860254287719727": 142, "8602805733680725": 142, "8603151440620422": 142, "860317051410675": 142, "8603206276893616": 142, "8603330254554749": 142, "8603463768959045": 142, "8603487610816956": 142, "8603771328926086": 142, "8603995442390442": 142, "8604": 154, "860406219959259": 142, "8604082465171814": 142, "860422134399414": 142, "86045902967453": 142, "860466241836548": 142, "860480010509491": 142, "8604869246482849": 142, "8604899048805237": 142, "8605": 142, "8605416417121887": 142, "8605512976646423": 142, "8605757355690002": 142, "8606035709381104": 142, "8606163859367371": 142, "8606253266334534": 142, "8606290221214294": 142, "8606405854225159": 142, "8606495261192322": 142, "8606576323509216": 142, "8607": 142, "8607015013694763": 142, "8607098460197449": 142, "860715866088867": 142, "8607177138328552": 142, "860736072063446": 142, "8607552647590637": 142, "8607704043388367": 142, "8607918620109558": 142, "8608": 142, "8608011603355408": 142, "8608046174049377": 142, "8608124852180481": 142, "8608142733573914": 142, "8608271479606628": 142, "8608734011650085": 142, "8608840107917786": 142, "860913097858429": 142, "8609300255775452": 142, "860931932926178": 142, "8609450459480286": 142, "8609798550605774": 142, "8609808087348938": 142, "8609901070594788": 142, "8609971404075623": 142, "861": 142, "8610287308692932": 142, "8610571026802063": 142, "861057460308075": 142, "8610581755638123": 142, "86106300354004": 142, "8610832095146179": 142, "861089289188385": 142, "8611288666725159": 142, "86114501953125": 142, "8611512780189514": 142, "8611710667610168": 142, "8611825108528137": 142, "8611899018287659": 142, "8612": 142, "8612014651298523": 142, "8612045645713806": 142, "8612121939659119": 142, "8612514138221741": 142, "8612582087516785": 142, "861278533935547": 142, "8612845540046692": 142, "8612876534461975": 142, "8613": 142, "8613244891166687": 142, "8613248467445374": 142, "861326217651367": 142, "861328661441803": 142, "8613461852073669": 142, "8614042401313782": 142, "8614186644554138": 142, "8614240288734436": 142, "8614345192909241": 142, "8614346385002136": 142, "861449658870697": 142, "8614516854286194": 142, "8614659905433655": 142, "8614705204963684": 142, "861500084400177": 142, "861501": 142, "8615038990974426": 142, "861507": 142, "8615227341651917": 142, "8615239262580872": 142, "8615564703941345": 142, "8615788817405701": 142, "8615e": 147, "861604": 142, "8616093993186951": 142, "861610": 142, "8616148829460144": 142, "861619": 142, "8616195321083069": 142, "861626": 142, "861627": 142, "861630": 142, "861637": 142, "861639": 142, "861640": 142, "861641": 142, "861656": 142, "861662": 142, "8616649508476257": 142, "861672": 142, "861679077148438": 142, "8616858124732971": 142, "8617056012153625": 142, "8617398142814636": 142, "8617491126060486": 142, "8617680668830872": 142, "8617704510688782": 142, "8617917895317078": 142, "8617969155311584": 142, "8618336319923401": 142, "8618419766426086": 142, "8618722558021545": 142, "861877": 142, "861878": 142, "861879348754883": 142, "8618826270103455": 142, "861889": 142, "861895740032196": 142, "861907005310059": 142, "861908": 142, "861909": 142, "861910": 142, "861918": 142, "8619264960289001": 142, "8619275689125061": 142, "8619338870048523": 142, "861935": 142, "861940": 142, "861950": 142, "861952304840088": 142, "861953": 142, "8619558215141296": 142, "8619583249092102": 142, "861960": 142, "8619601130485535": 142, "861961": 142, "861979": 142, "861983": 142, "8619886040687561": 142, "8619911074638367": 142, "862": [142, 147], "862070083618164": 142, "8620817065238953": 142, "862087070941925": 142, "8620967268943787": 142, "8621": 142, "8621545433998108": 142, "8621751666069031": 142, "862184464931488": 142, "862201690673828": 142, "8622292876243591": 142, "8622310757637024": 142, "8622446060180664": 142, "8622496724128723": 142, "862256": 142, "862257": 142, "862258": 142, "862259": 142, "862260": 142, "862261": 142, "862264": 142, "8622669577598572": 142, "862271249294281": 142, "8622724413871765": 142, "862288": 142, "862289428710938": 142, "8622917532920837": 142, "862300": 142, "862311": 142, "8623201251029968": 142, "862324": 142, "8623323440551758": 142, "862334": 142, "8623359799385071": 142, "862336": 142, "862337": 142, "862338": 142, "862339": 142, "862340": 142, "8623456954956055": 142, "8623505234718323": 142, "8623561263084412": 142, "8623597025871277": 142, "862360": 142, "862361": 142, "862362": 142, "862364": 142, "862365": 142, "862366": 142, "8623669743537903": 142, "862367": 142, "862368": 142, "862369": 142, "8623691201210022": 142, "862370": 142, "862371": 142, "862372": 142, "862374": 142, "8623749613761902": 142, "862375": 142, "862376": 142, "862378": 142, "862379": 142, "8623810410499573": 142, "862388551235199": 142, "8623926043510437": 142, "8623949885368347": 142, "8624160885810852": 142, "8624191880226135": 142, "8624228835105896": 142, "862423": 142, "862424": 142, "862431": 142, "862432": 142, "862445": 142, "8624455332756042": 142, "862446": 142, "8624479174613953": 142, "8624491691589355": 142, "8624641299247742": 142, "862471878528595": 142, "862473": 142, "8624783158302307": 142, "862485": 142, "8624854683876038": 142, "862486": 142, "8624913096427917": 142, "8624942898750305": 142, "8625218272209167": 142, "862528383731842": 142, "862543": 142, "862546": 142, "862548": 142, "8625596165657043": 142, "862561": 142, "8625615239143372": 142, "8625803589820862": 142, "8625842928886414": 142, "8625858426094055": 142, "862586": 142, "862589": 142, "862602": 142, "8626036047935486": 142, "862604": 142, "8626061081886292": 142, "8626078963279724": 142, "862609": 142, "8626090884208679": 142, "8626102805137634": 142, "862619400024414": 142, "862620": 142, "862621": 142, "862623": 142, "8626289963722229": 142, "862629": 142, "862630": 142, "862635": 142, "8626351952552795": 142, "8626355528831482": 142, "8626486659049988": 142, "862655": 142, "8626560568809509": 142, "8626579642295837": 142, "8626744151115417": 142, "862679": 142, "8626824021339417": 142, "8626858592033386": 142, "862691": 142, "862694": 142, "862695": 142, "862696647644043": 142, "862699": 142, "862702": 142, "862703": 142, "862704": 142, "862705": 142, "862710": 142, "862711": 142, "862712": 142, "862715": 142, "8627198338508606": 142, "862720": 142, "862721": 142, "862723": 142, "862725": 142, "8627325892448425": 142, "8627387881278992": 142, "862747": 142, "862770": 142, "862778": 142, "862779": 142, "862781": 142, "862781822681427": 142, "8627844452857971": 142, "862787": 142, "862790": 142, "862791": 142, "862792015075684": 142, "8627956509590149": 142, "8627975583076477": 142, "862798": 142, "8628": 142, "8628008961677551": 142, "8628093600273132": 142, "8628140091896057": 142, "8628602027893066": 142, "8628613352775574": 142, "862871": 142, "8628814816474915": 142, "8628904223442078": 142, "862894594669342": 142, "8628950715065002": 142, "8629011511802673": 142, "862906277179718": 142, "862911": 142, "8629243969917297": 142, "8629348874092102": 142, "8629364371299744": 142, "8629695773124695": 142, "8629719614982605": 142, "8629726767539978": 142, "8629729151725769": 142, "8629797101020813": 142, "862983": 142, "8629850745201111": 142, "8629961609840393": 142, "8629966378211975": 142, "862997829914093": 142, "8630": 142, "8630052208900452": 142, "863011": 142, "863018810749054": 142, "8630372881889343": 142, "8630948662757874": 142, "8630954623222351": 142, "8631033301353455": 142, "8631091713905334": 142, "8631114363670349": 142, "8631146550178528": 142, "863139808177948": 142, "8631495833396912": 142, "8631568551063538": 142, "863178551197052": 142, "8632037043571472": 142, "863210201263428": 142, "8632151484489441": 142, "8632181286811829": 142, "8632238507270813": 142, "8632317185401917": 142, "863250": 142, "8632541298866272": 142, "8632556796073914": 142, "8632609248161316": 142, "863261": 142, "8633007407188416": 142, "863307774066925": 142, "8633298277854919": 142, "8633354306221008": 142, "8633547425270081": 142, "8633682131767273": 142, "8633697628974915": 142, "8633891940116882": 142, "8633973002433777": 142, "8633981347084045": 142, "8634": 142, "8634065985679626": 142, "8634093403816223": 142, "863473892211914": 142, "8634851574897766": 142, "8634867072105408": 142, "8634917140007019": 142, "8634946942329407": 142, "8635": 142, "8635327219963074": 142, "8635454773902893": 142, "8635507225990295": 142, "863552987575531": 142, "8635637164115906": 142, "8635762333869934": 142, "863590657711029": 142, "863599956035614": 142, "8636025786399841": 142, "8636055588722229": 142, "8636084198951721": 142, "8636297583580017": 142, "863648": 142, "8636521697044373": 142, "8636669516563416": 142, "8636719584465027": 142, "863685667514801": 142, "86368751525879": 142, "863690": 142, "863707": 142, "8637080788612366": 142, "863709": 142, "863710343837738": 142, "863720": 142, "8637264370918274": 142, "863744": 142, "8637456297874451": 142, "8637465834617615": 142, "863750": 142, "863757": 142, "8637593388557434": 142, "8637650609016418": 142, "8637781739234924": 142, "8637906908988953": 142, "863792359828949": 142, "8638": 142, "8638129234313965": 142, "8638586401939392": 142, "8638706803321838": 142, "8638851046562195": 142, "8638946413993835": 142, "8638951182365417": 142, "8638997673988342": 142, "8639": 142, "8639211058616638": 142, "8639424443244934": 142, "8639617562294006": 142, "8639625906944275": 142, "8639643788337708": 142, "863967895507812": 142, "8639811873435974": 142, "8639981150627136": 142, "863bc983245ffc0285305a1850e19cf7": 129, "864": 134, "8640": 142, "8640076518058777": 142, "8640347123146057": 142, "8640521168708801": 142, "8640571236610413": 142, "8640642762184143": 142, "864085853099823": 142, "864091775985314": 132, "8640990853309631": 142, "864108145236969": 142, "8641141057014465": 142, "8641374707221985": 142, "8641400933265686": 142, "8641781210899353": 142, "8641816973686218": 142, "8641920685768127": 142, "8642": 142, "8642120957374573": 142, "864215075969696": 142, "8642181754112244": 142, "864226758480072": 142, "8642417788505554": 142, "86427241563797": 142, "8642818331718445": 142, "864287376403809": 142, "8643128275871277": 142, "8643257021903992": 142, "8643411993980408": 142, "8643462061882019": 142, "8643962740898132": 142, "8644014000892639": 142, "8644042611122131": 142, "8644128441810608": 142, "8644205927848816": 142, "8644210696220398": 142, "864429235458374": 142, "86443567276001": 142, "8644397854804993": 142, "8644525408744812": 142, "864454448223114": 142, "8644687533378601": 142, "8644765019416809": 142, "8644766211509705": 142, "8644796013832092": 142, "8644869923591614": 142, "8644940257072449": 142, "8645": 142, "8645078539848328": 142, "8645305037498474": 142, "8645310997962952": 142, "8645315766334534": 142, "8645545840263367": 142, "8645563721656799": 142, "8645622134208679": 142, "8645673394203186": 142, "864591658115387": 142, "8645920157432556": 142, "8646021485328674": 142, "8646044135093689": 142, "864607": 142, "8646114468574524": 142, "8646115660667419": 142, "864623": 142, "8646294474601746": 142, "8646312355995178": 142, "864635": 142, "864637553691864": 142, "864639": 142, "864640": 142, "864647": 142, "864650": 142, "864651": 142, "864654": 142, "8646596074104309": 142, "864661": 142, "864669": 142, "864670": 142, "864671": 142, "864672": 142, "864684": 142, "8646867871284485": 142, "8646925091743469": 142, "8647050261497498": 142, "8647084832191467": 142, "8647124171257019": 142, "864715": 142, "864730179309845": 142, "864734": 142, "864735": 142, "864742": 142, "864754": 142, "864758": 142, "864761": 142, "864764": 142, "8647647500038147": 142, "8647666573524475": 142, "8647728562355042": 142, "864782": 142, "864788": 142, "8647891879081726": 142, "8647914528846741": 142, "8647927641868591": 142, "864794": 142, "864798": 142, "8648": 142, "864807": 142, "8648088574409485": 142, "864831": 142, "864835": 142, "864839": 142, "864840": 142, "864844": 142, "8648530840873718": 142, "8648549914360046": 142, "8648552298545837": 142, "864857": 142, "8648623824119568": 142, "8648654818534851": 142, "864877700805664": 142, "864878": 142, "8648812174797058": 142, "8648877739906311": 142, "864889": 142, "864890": 142, "864896": 142, "8648963570594788": 142, "864897": 142, "864898": 142, "8649070858955383": 142, "8649075627326965": 142, "864909": 142, "8649140000343323": 142, "864916": 142, "8649230599403381": 142, "8649253249168396": 142, "8649318218231201": 142, "864933431148529": 142, "864936": 142, "864939": 142, "864939272403717": 142, "8649405837059021": 142, "8649421334266663": 142, "8649440407752991": 142, "864946": 142, "864947": 142, "8649470210075378": 142, "864948": 142, "864949": 142, "8649492859840393": 142, "864950": 142, "8649508357048035": 142, "864951": 142, "864953": 142, "864955": 142, "864957": 142, "8649582266807556": 142, "864960253238678": 142, "8649603724479675": 142, "864966": 142, "864968": 142, "864970": 142, "864971": 142, "8649725317955017": 142, "8649726510047913": 142, "8649733662605286": 142, "864974": 142, "864980": 142, "864983": 142, "8649839758872986": 142, "864984": 142, "864985": 142, "864987": 142, "864988": 142, "8649881482124329": 142, "8649886250495911": 142, "864989": 142, "864990": 142, "864991": 142, "864992": 142, "864992141723633": 142, "864997386932373": 142, "864kb": 134, "865000": 142, "865001": 142, "865002": 142, "8650060296058655": 142, "865007400512695": 142, "865010": 142, "8650107979774475": 142, "865011": 142, "865015": 142, "86501544713974": 142, "865019": 142, "8650192618370056": 142, "865022": 142, "865023": 142, "8650239109992981": 142, "865026": 142, "865027": 142, "865030": 142, "865032": 142, "8650365471839905": 142, "865038": 142, "865039": 142, "8650394082069397": 142, "865041": 142, "865045": 142, "865048": 142, "8650482296943665": 142, "865051": 142, "865059852600098": 142, "8650606274604797": 142, "8650650382041931": 142, "865066": 142, "8650668263435364": 142, "8650727868080139": 142, "865076": 142, "865077": 142, "865079": 142, "8650816082954407": 142, "865082": 142, "865088": 142, "865091": 142, "865093": 142, "865094": 142, "8650956749916077": 142, "865097": 142, "865100": 142, "865121": 142, "865124": 142, "865125834941864": 142, "865126": 142, "865127": 142, "865128": 142, "8651290535926819": 142, "865130": 142, "865131": 142, "8651311993598938": 142, "865138": 142, "865140": 142, "865144": 142, "865145": 142, "865147113800049": 142, "8651502728462219": 142, "8651583790779114": 142, "865164": 142, "865165": 142, "865166": 142, "865167": 142, "865170": 142, "865174": 142, "865176": 142, "865178": 142, "865179": 142, "8651793599128723": 142, "865182399749756": 142, "865191": 142, "865192711353302": 142, "865193": 142, "8651946187019348": 142, "8651955723762512": 142, "865202009677887": 142, "865212": 142, "8652130961418152": 142, "8652178645133972": 142, "8652192950248718": 142, "8652227520942688": 142, "865232": 142, "865234": 142, "865235": 142, "8652457594871521": 142, "8652538657188416": 142, "8652569651603699": 142, "8652605414390564": 142, "8652731776237488": 142, "865278": 142, "865280": 142, "8652802109718323": 142, "8652809262275696": 142, "8652939200401306": 142, "8653059601783752": 142, "8653128147125244": 142, "8653135895729065": 142, "8653282523155212": 142, "8653303980827332": 142, "8653349280357361": 142, "865342": 142, "8653481602668762": 142, "865355": 142, "865357": 142, "8653578162193298": 142, "865362": 142, "865373": 142, "8653776049613953": 142, "865382": 142, "865385": 142, "8653901219367981": 142, "8653951287269592": 142, "8653997778892517": 142, "8654025197029114": 142, "8654064536094666": 142, "8654147982597351": 142, "8654200434684753": 142, "8654209971427917": 142, "865425": 142, "865430": 142, "8654307723045349": 142, "865432": 142, "8654326796531677": 142, "8654369711875916": 142, "865441": 142, "865442": 142, "865448": 142, "8654506206512451": 142, "865459442138672": 142, "865462": 142, "865465": 142, "8654668927192688": 142, "865469": 142, "865472": 142, "865476667881012": 142, "865482": 142, "865484": 142, "865485": 142, "865486": 142, "865487": 142, "865490": 142, "865494": 142, "865495": 142, "865496": 142, "8654963374137878": 142, "865497": 142, "865499": 142, "865501": 142, "865502": 142, "865503": 142, "865504": 142, "865506": 142, "865507": 142, "865511": 142, "8655125498771667": 142, "8655129075050354": 142, "865513": 142, "865514": 142, "865517": 142, "865518": 142, "865519": 142, "865520": 142, "865522": 142, "865523": 142, "865524": 142, "865525": 142, "865527": 142, "865529": 142, "865531": 142, "865533": 142, "865537": 142, "865538": 142, "865548": 142, "865554": 142, "8655545115470886": 142, "8655584454536438": 142, "8655590415000916": 142, "8655591607093811": 142, "865560": 142, "8655607104301453": 142, "8655608296394348": 142, "865561": 142, "8655626177787781": 142, "865565": 142, "865569": 142, "8655722737312317": 142, "8655758500099182": 142, "8655772805213928": 142, "8655813336372375": 142, "865585": 142, "865586": 142, "865587": 142, "865588": 142, "865589618682861": 142, "865591": 142, "865592": 142, "865592956542969": 142, "865594": 142, "865598": 142, "865598738193512": 142, "865600": 142, "865610659122467": 142, "865612030029297": 142, "865614891052246": 142, "865615": 142, "8656240105628967": 142, "8656397461891174": 142, "8656399846076965": 142, "865640": 142, "865641": 142, "865649": 142, "865650": 142, "865651": 142, "865652": 142, "865653": 142, "865654": 142, "865655": 142, "865656": 142, "865659": 142, "865659773349762": 142, "8656630516052246": 142, "865664": 142, "865665": 142, "865669": 142, "865671": 142, "865671694278717": 142, "865675151348114": 142, "865678": 142, "865679": 142, "865680": 142, "865681": 142, "8656825423240662": 142, "865689": 142, "865707": 142, "865712": 142, "865717": 142, "8657233119010925": 142, "865728": 142, "865729": 142, "8657295107841492": 142, "865730": 142, "8657302260398865": 142, "865733": 142, "8657411932945251": 142, "865746": 142, "8657481074333191": 142, "8657585978507996": 142, "8657589554786682": 142, "865768": 142, "865779": 142, "865780": 142, "8657826781272888": 142, "8657829165458679": 142, "8657830357551575": 142, "865786": 142, "865791": 142, "8657961487770081": 142, "865798": 142, "8658": 142, "865803": 142, "865805": 142, "865807": 142, "86580890417099": 142, "865809": 142, "865810": 142, "8658105731010437": 142, "865811288356781": 142, "8658148646354675": 142, "865840": 142, "865842": 142, "8658599257469177": 142, "8658645749092102": 142, "865876": 142, "865877": 142, "865878": 142, "865888": 142, "8658921122550964": 142, "865895": 142, "865898": 142, "865899": 142, "8658997416496277": 142, "865903913974762": 142, "865910": 142, "8659129738807678": 142, "865914": 142, "865916": 142, "8659202456474304": 142, "8659233450889587": 142, "865926": 142, "865928": 142, "865929": 142, "865930": 142, "865931": 142, "8659345507621765": 142, "8659420609474182": 142, "8659451603889465": 142, "865948": 142, "8659513592720032": 142, "865960": 142, "8659774661064148": 142, "865985": 142, "865986168384552": 142, "8659866452217102": 142, "8659883141517639": 142, "865989": 142, "865990": 142, "8659911751747131": 142, "8659971356391907": 142, "865997314453125": 142, "865998": 142, "866": [132, 134, 157], "866001": 142, "8660019040107727": 142, "866006": 142, "86600685119629": 142, "866010": 142, "866012": 142, "866022": 142, "866025": 142, "866033": 142, "8660369515419006": 142, "866041": 142, "866046": 142, "866051": 142, "86605304479599": 142, "866062": 142, "8660808205604553": 142, "866083": 142, "866088": 142, "8660913109779358": 142, "866094": 142, "866096": 142, "8660966753959656": 142, "8660e": 147, "866104": 142, "8661056160926819": 142, "8661068081855774": 142, "866107225418091": 142, "8661074042320251": 142, "866108": 142, "866114": 142, "866117": 142, "866121": 142, "866132": 142, "866134": 142, "866140": 142, "866141": 142, "866142": 142, "8661430478096008": 142, "86614418029785": 142, "866153": 142, "866155": 142, "866156": 142, "866157": 142, "8661578297615051": 142, "866159": 142, "866160": 142, "8661604523658752": 142, "866161": 142, "866161346435547": 142, "866163": 142, "8661649823188782": 142, "866166": 142, "866168": 142, "866169": 142, "866170": 142, "866173": 142, "8661797642707825": 142, "8661807179450989": 142, "866183": 142, "866184": 142, "866186": 142, "866187": 142, "8661897778511047": 142, "866197407245636": 142, "866201": 142, "8662095665931702": 142, "866213": 142, "8662171363830566": 142, "866218": 142, "866219": 142, "8662200570106506": 142, "8662206530570984": 142, "866221": 142, "8662216067314148": 142, "866223": 142, "8662371039390564": 142, "8662380576133728": 142, "8662527203559875": 142, "8662553429603577": 142, "866279": 142, "866283118724823": 142, "866284": 142, "866296": 142, "8663038611412048": 142, "866313934326172": 142, "8663144707679749": 142, "8663240075111389": 142, "866331160068512": 142, "8663403391838074": 142, "8663423657417297": 142, "8663478493690491": 142, "8663702607154846": 142, "866375": 142, "866376": 142, "866378128528595": 142, "8663807511329651": 142, "8663979172706604": 142, "8663981556892395": 142, "866407573223114": 142, "8664098381996155": 142, "866413414478302": 142, "8664204478263855": 142, "8664447665214539": 142, "8664585947990417": 142, "8664655685424805": 142, "8664688467979431": 142, "866474": 142, "866475": 142, "866481": 142, "8664894700050354": 142, "866503": 142, "866527557373047": 142, "8665342926979065": 142, "8665385842323303": 142, "8665433526039124": 142, "8665537238121033": 142, "8665688633918762": 142, "8665693402290344": 142, "8665701746940613": 142, "866580": 142, "8665805459022522": 142, "8665832877159119": 142, "8665850162506104": 142, "866599977016449": 142, "8666201233863831": 142, "8666290640830994": 142, "8666525483131409": 142, "866659": 142, "8666743636131287": 142, "8666908144950867": 142, "8666948676109314": 142, "8667227625846863": 142, "8667251467704773": 142, "8667338490486145": 142, "8667365908622742": 142, "8667373061180115": 142, "8667588829994202": 142, "8667593598365784": 142, "86676025390625": 142, "8667667508125305": 142, "866767942905426": 142, "8667783141136169": 142, "8667923808097839": 142, "866805": 142, "866810": 142, "866811": 142, "866818": 142, "8668217062950134": 142, "866824": 142, "866826": 142, "866836": 142, "866850": 142, "866869": 142, "866878092288971": 142, "866883": 142, "8668882250785828": 142, "8668981194496155": 142, "8669078946113586": 142, "8669148087501526": 142, "8669268488883972": 142, "866941": 142, "866943": 142, "8669436573982239": 142, "8669517636299133": 142, "8669646382331848": 142, "8669672608375549": 142, "866994321346283": 142, "8669959902763367": 142, "8670": 142, "8670018315315247": 142, "8670088648796082": 142, "8670122027397156": 142, "8670215010643005": 142, "8670219779014587": 142, "8670224547386169": 142, "867023468017578": 142, "867069721221924": 142, "86707878112793": 142, "8670836091041565": 142, "8671057820320129": 142, "8671062588691711": 142, "8671072125434875": 142, "867109": 142, "8671093583106995": 142, "867110": 142, "8671111464500427": 142, "867113": 142, "8671150803565979": 142, "867117": 142, "867120": 142, "8671217560768127": 142, "867123": 142, "867125": 142, "867126": 142, "867127": 142, "8671322464942932": 142, "867135": 142, "867137": 142, "867141": 142, "8671484589576721": 142, "867149": 142, "867156": 142, "867163": 142, "8671675324440002": 142, "867168": 142, "867169": 142, "867173": 142, "867179": 142, "867187": 142, "8671903014183044": 142, "867201": 142, "867202": 142, "867203": 142, "867207": 142, "867212": 142, "867216": 142, "8672167658805847": 142, "8672224879264832": 142, "8672251105308533": 142, "8672266602516174": 142, "8672322630882263": 142, "867233": 142, "867238461971283": 142, "8672392964363098": 142, "8672419190406799": 142, "867242": 142, "867243": 142, "8672472834587097": 142, "867249": 142, "867260": 142, "867262": 142, "867263": 142, "867264": 142, "867276132106781": 142, "867281": 142, "8672825694084167": 142, "8672826886177063": 142, "867292": 142, "867303": 142, "867306": 142, "8673073649406433": 142, "867308": 142, "867317": 142, "867319": 142, "8673191666603088": 142, "8673221468925476": 142, "8673253655433655": 142, "867326": 142, "867327": 142, "867330": 142, "867331": 142, "867335": 142, "867345": 142, "867347": 142, "867351": 142, "867352": 142, "867356": 142, "867357": 142, "867362": 142, "8673624396324158": 142, "867365300655365": 142, "867373": 142, "8673730492591858": 142, "8673877120018005": 142, "867397129535675": 142, "8674091696739197": 142, "8674114346504211": 142, "867453396320343": 142, "8674586415290833": 142, "8674646019935608": 142, "8674687743186951": 142, "867475": 142, "8675": 142, "867507": 142, "8675348162651062": 142, "8675352931022644": 142, "8675366044044495": 142, "8675456643104553": 142, "8675623536109924": 142, "8675703406333923": 142, "8675711750984192": 142, "8676056265830994": 142, "8676069378852844": 142, "8676223158836365": 142, "8676452040672302": 142, "8676477074623108": 142, "8676630854606628": 142, "867666244506836": 142, "8676771521568298": 142, "8676888346672058": 142, "8676941990852356": 142, "8676952719688416": 142, "8677": 142, "8677110075950623": 142, "8677147030830383": 142, "8677247166633606": 142, "8677322268486023": 142, "8677329421043396": 142, "867737352848053": 142, "867739": 142, "8677454590797424": 142, "867748": 142, "867751": 142, "8677516579627991": 142, "867753": 142, "867756": 142, "867758572101593": 142, "867761": 142, "8677627444267273": 142, "8677664399147034": 142, "8677673935890198": 142, "867768": 142, "867769": 142, "867771": 142, "867774": 142, "867775": 142, "867779": 142, "867780": 142, "867781": 142, "867781937122345": 142, "8677822947502136": 142, "867786": 142, "867787": 142, "867787778377533": 142, "867788": 142, "867792": 142, "867794": 142, "867795": 142, "8677970767021179": 142, "867799": 142, "8677998185157776": 142, "867802": 142, "8678060173988342": 142, "867811": 142, "8678128123283386": 142, "867816": 142, "867820680141449": 142, "867821": 142, "86782306432724": 142, "8678233027458191": 142, "867832362651825": 142, "867841": 142, "867842": 142, "867846": 142, "8678465485572815": 142, "8678482174873352": 142, "867849": 142, "8678496479988098": 142, "867850": 142, "867851": 142, "867853581905365": 142, "867854": 142, "8678622841835022": 142, "8678647875785828": 142, "8678668141365051": 142, "8678671717643738": 142, "867870330810547": 142, "867878": 142, "867881": 142, "8678827881813049": 142, "867885410785675": 142, "8678955435752869": 142, "867896": 142, "867897": 142, "8678979277610779": 142, "867901": 142, "867904": 142, "8679072260856628": 142, "867909": 142, "867911": 142, "8679117560386658": 142, "8679133057594299": 142, "867915": 142, "867916": 142, "867917": 142, "8679171204566956": 142, "8679195046424866": 142, "867922": 142, "867923": 142, "8679239153862": 142, "867928": 142, "8679304122924805": 142, "8679361939430237": 142, "867941677570343": 142, "867943": 142, "867958": 142, "867962658405304": 142, "8679673075675964": 142, "8679690957069397": 142, "8679764866828918": 142, "8679874539375305": 142, "8679984211921692": 142, "8680017590522766": 142, "8680141568183899": 142, "8680161833763123": 142, "8680208325386047": 142, "8680220246315002": 142, "8680228590965271": 142, "8680313229560852": 142, "8680658936500549": 142, "8681045174598694": 142, "8681077361106873": 142, "8681113123893738": 142, "8681228756904602": 142, "8681533932685852": 142, "8681597113609314": 142, "8681793808937073": 142, "8681815266609192": 142, "8681822419166565": 142, "8682090640068054": 142, "8682170510292053": 142, "8682177662849426": 142, "8682267069816589": 142, "8682301640510559": 142, "8682437539100647": 142, "8682466149330139": 142, "8682512640953064": 142, "8682590126991272": 142, "8682830929756165": 142, "868286371231079": 142, "8682958483695984": 142, "8683097958564758": 142, "8683133721351624": 142, "8683397173881531": 142, "868350088596344": 142, "8683835864067078": 142, "8683881163597107": 142, "8683890700340271": 142, "8683932423591614": 142, "8683937191963196": 142, "8683989644050598": 142, "8684012293815613": 142, "8684024214744568": 142, "8684036135673523": 142, "868413507938385": 142, "8684148192405701": 142, "8684249520301819": 142, "8684290051460266": 142, "868429958820343": 142, "86844825744629": 142, "8684548735618591": 142, "8684703707695007": 142, "8684732913970947": 142, "8684776425361633": 142, "8685094714164734": 142, "8685269951820374": 142, "8685329556465149": 142, "8685579895973206": 142, "8685694336891174": 142, "8685910105705261": 142, "8685914874076843": 142, "8685967326164246": 142, "8686": 142, "8686076998710632": 142, "8686088919639587": 142, "8686147332191467": 142, "8686204552650452": 142, "868621289730072": 142, "8686273694038391": 142, "8686415553092957": 142, "8686419129371643": 142, "8686460852622986": 142, "8686686158180237": 142, "8686721920967102": 142, "8686770796775818": 142, "868694305419922": 142, "8687123656272888": 142, "8687310814857483": 142, "8687312006950378": 142, "8687949776649475": 142, "8688": 142, "8688023686408997": 142, "8688029646873474": 142, "8688036799430847": 142, "8688159584999084": 142, "8688238263130188": 142, "8688365817070007": 142, "8688386082649231": 142, "8688470721244812": 142, "8688579201698303": 142, "8688603043556213": 142, "868897020816803": 142, "8689": 142, "8689181208610535": 142, "8689222931861877": 142, "8689298033714294": 142, "8689377903938293": 142, "8689544796943665": 142, "8689568638801575": 142, "8689584136009216": 142, "8689669966697693": 142, "868987500667572": 142, "8689929842948914": 142, "8689976334571838": 142, "8689984679222107": 142, "8689997792243958": 142, "868kb": 134, "869": 142, "8690031170845032": 142, "8690142035484314": 142, "8690152764320374": 142, "869022369384766": 142, "8690343499183655": 142, "8690529465675354": 142, "8690715432167053": 142, "8690763115882874": 142, "8690895438194275": 142, "8690944314002991": 142, "86910629272461": 142, "869111955165863": 142, "8691173195838928": 142, "86911964416504": 142, "869150698184967": 142, "8691594004631042": 142, "8691782355308533": 142, "8691787123680115": 142, "8691834807395935": 142, "8691977858543396": 142, "8692168593406677": 142, "8692190051078796": 142, "8692330718040466": 142, "8692430853843689": 142, "8692478537559509": 142, "86924809217453": 142, "8692511916160583": 142, "869264543056488": 142, "8692647814750671": 142, "8692695498466492": 142, "8693007826805115": 142, "869314193725586": 142, "8693234324455261": 142, "8693272471427917": 142, "8693392872810364": 142, "869345188140869": 142, "8693527579307556": 142, "8693675398826599": 142, "8693761229515076": 142, "8693839907646179": 142, "8694106936454773": 142, "8694115281105042": 142, "8694117665290833": 142, "8694136738777161": 142, "8694245219230652": 142, "8694285750389099": 142, "8694291710853577": 142, "8694409728050232": 142, "8694433569908142": 142, "8694668412208557": 142, "8694812655448914": 142, "8694936633110046": 142, "8695": 142, "8695101141929626": 142, "8695219159126282": 142, "8695253729820251": 142, "8695265650749207": 142, "8695380687713623": 142, "8695386052131653": 142, "8695390820503235": 142, "8695401549339294": 142, "8695411086082458": 142, "869545": 144, "8695526719093323": 142, "8695549368858337": 142, "8695554137229919": 142, "8695605397224426": 142, "8695688843727112": 142, "8695719838142395": 142, "8695791363716125": 142, "8695849776268005": 142, "8696336150169373": 142, "8696416020393372": 142, "8696425557136536": 142, "8696475625038147": 142, "8696487545967102": 142, "8696538805961609": 142, "8696573376655579": 142, "869662284851074": 142, "8696736693382263": 142, "8697023987770081": 142, "8697047829627991": 142, "8697050213813782": 142, "8697063326835632": 142, "8697090744972229": 142, "86973762512207": 142, "8697407841682434": 142, "8697455525398254": 142, "8697486519813538": 142, "8697498440742493": 142, "8697616457939148": 142, "8697667717933655": 142, "8697736859321594": 142, "8697904944419861": 142, "8697931170463562": 142, "8698037266731262": 142, "869804859161377": 142, "8698121905326843": 142, "869832456111908": 142, "8698411583900452": 142, "869846761226654": 142, "8698474764823914": 142, "8698559403419495": 142, "8698667883872986": 142, "869873046875": 142, "8698746562004089": 142, "86988639831543": 142, "8699101805686951": 142, "8699242472648621": 142, "8699265122413635": 142, "8699355721473694": 142, "8699386715888977": 142, "8699708580970764": 142, "8699808716773987": 142, "86e": 147, "86m": 134, "87": [134, 138, 145, 147, 149], "8700": 142, "8700157999992371": 142, "8700259327888489": 142, "8700591921806335": 142, "8700624108314514": 142, "8700799345970154": 142, "870093047618866": 142, "8700935244560242": 142, "8701123595237732": 142, "8701301217079163": 142, "8701348304748535": 142, "870140075683594": 142, "8701403737068176": 142, "8701644539833069": 142, "870166778564453": 142, "8701727986335754": 142, "8701763153076172": 142, "8701767325401306": 142, "8702201247215271": 142, "870237410068512": 142, "8702376484870911": 142, "8702556490898132": 142, "870256245136261": 142, "8702613711357117": 142, "8702670931816101": 142, "8702707886695862": 142, "870271682739258": 142, "8702722191810608": 142, "8702772259712219": 142, "8702775835990906": 142, "8702803254127502": 142, "8703": 142, "8703028559684753": 142, "870319366455078": 142, "870320737361908": 142, "8703237175941467": 142, "8703667521476746": 142, "8703687787055969": 142, "8703773617744446": 142, "8703873753547668": 142, "8704": 142, "87042999267578": 142, "8704563975334167": 142, "8704882264137268": 142, "8704982399940491": 142, "8705000281333923": 142, "8705081343650818": 142, "8705088496208191": 142, "8705291152000427": 142, "8705382943153381": 142, "8705409169197083": 142, "8705452084541321": 142, "8705900311470032": 142, "8706197142601013": 142, "8706313967704773": 142, "870640218257904": 142, "8706911206245422": 142, "8707048296928406": 142, "870718777179718": 142, "8707404732704163": 142, "8707415461540222": 142, "8707428574562073": 142, "8707540035247803": 142, "8707812428474426": 142, "8707975745201111": 142, "8708043694496155": 142, "8708124756813049": 142, "8708447813987732": 142, "8708673119544983": 142, "8708804249763489": 142, "87088394165039": 142, "8709059357643127": 142, "8709068894386292": 142, "8709426522254944": 142, "8709478974342346": 142, "8709513545036316": 142, "8709631562232971": 142, "8709909319877625": 142, "8709987998008728": 142, "871": [138, 142], "8710072636604309": 142, "8710461258888245": 142, "8710464835166931": 142, "8710476756095886": 142, "8710495829582214": 142, "8710564970970154": 142, "8710574507713318": 142, "871105194091797": 142, "8711082935333252": 142, "8711144328117371": 142, "8711456656455994": 142, "8711664080619812": 142, "8711672425270081": 142, "8711737990379333": 142, "8711772561073303": 142, "8712183833122253": 142, "8712381720542908": 142, "8712461590766907": 142, "8712559342384338": 142, "8712653517723083": 142, "8712714314460754": 142, "8712760806083679": 142, "8712779879570007": 142, "8712829947471619": 142, "8712888360023499": 142, "8713": 142, "8713012337684631": 142, "87130206823349": 142, "871314525604248": 142, "8713153004646301": 142, "8713312745094299": 142, "87133271053866": 132, "8713354468345642": 142, "8713447451591492": 142, "8713483214378357": 142, "8713645339012146": 142, "871397078037262": 142, "8713987469673157": 142, "8714": 142, "8714064955711365": 142, "8714099526405334": 142, "8714216351509094": 142, "8714531064033508": 142, "8714545369148254": 142, "8714576363563538": 142, "8714596629142761": 142, "8714599013328552": 142, "8714600205421448": 142, "871460497379303": 142, "8714608550071716": 142, "8714630007743835": 142, "871464192867279": 142, "8714695572853088": 142, "871478259563446": 142, "8714877963066101": 142, "8714891076087952": 142, "8714895844459534": 142, "8714925646781921": 142, "8714939951896667": 142, "8715085387229919": 142, "8715193867683411": 142, "8715208172798157": 142, "8715236783027649": 142, "8715627789497375": 142, "871569633483887": 142, "8715700507164001": 142, "8715872168540955": 142, "8716": 142, "8716073632240295": 142, "8716096878051758": 142, "8716148734092712": 142, "8716177344322205": 142, "871629536151886": 142, "8716349005699158": 142, "8716627955436707": 142, "8716709017753601": 142, "8717": 142, "8717197775840759": 142, "871730387210846": 142, "8717427849769592": 142, "8717660307884216": 142, "8717741370201111": 142, "8717749714851379": 142, "8717795014381409": 142, "8718063235282898": 142, "871809184551239": 142, "8718326687812805": 142, "8718425631523132": 142, "8718633055686951": 142, "8718757033348083": 142, "8718854784965515": 142, "8718923926353455": 142, "8718960881233215": 142, "8718991875648499": 142, "8719": 142, "8719028830528259": 142, "8719161152839661": 142, "8719494938850403": 142, "8719680905342102": 142, "8719704747200012": 142, "871975839138031": 142, "8719790577888489": 142, "8719804883003235": 142, "8719876408576965": 142, "8720107078552246": 142, "872011184692383": 142, "8720285296440125": 142, "8720480799674988": 142, "8720499873161316": 142, "8720510601997375": 142, "8720563054084778": 142, "8720623850822449": 142, "8720642924308777": 142, "8720903992652893": 142, "8720914721488953": 142, "872117817401886": 142, "8721387982368469": 142, "8721470236778259": 142, "8721488118171692": 142, "8721562027931213": 142, "8721570372581482": 142, "8721590638160706": 142, "8721718192100525": 142, "872174084186554": 142, "8721897006034851": 142, "8721924424171448": 142, "8721951842308044": 142, "8721986413002014": 142, "8722072243690491": 142, "8722366690635681": 142, "8722419142723083": 142, "8722555041313171": 142, "8722772598266602": 142, "8722776770591736": 142, "8722812533378601": 142, "8722850680351257": 142, "8723028302192688": 142, "8723195195198059": 142, "8723258376121521": 142, "8723344206809998": 142, "8723433613777161": 142, "8723443150520325": 142, "8723613619804382": 142, "8723697066307068": 142, "872372150421143": 142, "8723776936531067": 142, "8723894953727722": 142, "8723912835121155": 142, "872400283813477": 142, "872406542301178": 142, "8724080920219421": 142, "872410237789154": 142, "8724135756492615": 142, "8724151253700256": 142, "8724216818809509": 142, "8724482655525208": 142, "872455596923828": 142, "8724614977836609": 142, "8724631667137146": 142, "8724685311317444": 142, "8724732995033264": 142, "8724794983863831": 142, "87248420715332": 142, "8724998831748962": 142, "8725": 142, "8725019097328186": 142, "8725066781044006": 142, "8725122809410095": 142, "8725294470787048": 142, "8725473284721375": 142, "8725550770759583": 142, "8725617527961731": 142, "8725621104240417": 142, "8725643754005432": 142, "8725906014442444": 142, "8725976347923279": 142, "8726062178611755": 142, "8726168274879456": 142, "8726392388343811": 142, "8726466298103333": 142, "872667133808136": 142, "8726699948310852": 142, "8726966977119446": 142, "8727050423622131": 142, "8727133870124817": 142, "8727137446403503": 142, "8727244734764099": 142, "8727266192436218": 142, "8727268576622009": 142, "8727665543556213": 142, "8727738261222839": 142, "8727743029594421": 142, "872782289981842": 142, "872785568237305": 142, "8728": 147, "8728070855140686": 142, "8728113174438477": 142, "8728379607200623": 142, "8728470206260681": 142, "8728482127189636": 142, "8728521466255188": 142, "8728522658348083": 142, "8728575110435486": 142, "8728621602058411": 142, "8728674054145813": 142, "8728782534599304": 142, "8728792071342468": 142, "8728899359703064": 142, "8728918433189392": 142, "872892379760742": 142, "8729057908058167": 142, "8729127049446106": 142, "8729189038276672": 142, "8729190230369568": 142, "8729200959205627": 142, "8729467988014221": 142, "872949600219727": 142, "8729620575904846": 142, "8729724884033203": 142, "8729789853096008": 142, "872kb": 134, "873": 142, "8730010390281677": 142, "8730019927024841": 142, "8730080723762512": 142, "8730097413063049": 142, "8730115294456482": 142, "8730116486549377": 142, "8730170130729675": 142, "8730180859565735": 142, "8730394244194031": 142, "8730399012565613": 142, "8730410933494568": 142, "8730452656745911": 142, "8730601668357849": 142, "8730646967887878": 142, "8730689883232117": 142, "8731040358543396": 142, "873104095458984": 142, "8731178641319275": 142, "8731310963630676": 142, "8731314539909363": 142, "8731482625007629": 142, "8731634020805359": 142, "8731672167778015": 142, "873173713684082": 142, "8731740117073059": 142, "8731853365898132": 142, "8731985688209534": 142, "8732": 142, "873245239257812": 142, "873249351978302": 142, "8732563853263855": 142, "8732699751853943": 142, "8732753396034241": 142, "8732811808586121": 142, "8732954859733582": 142, "8733113408088684": 142, "87331622838974": 142, "8733188509941101": 142, "873319685459137": 142, "8733285069465637": 142, "8733343482017517": 142, "8733367323875427": 142, "8733611702919006": 142, "8733614087104797": 142, "8733695149421692": 142, "8733839392662048": 142, "8734177947044373": 142, "8734684586524963": 142, "8734808564186096": 142, "8734981417655945": 142, "8734995722770691": 142, "8734999299049377": 142, "8735039830207825": 142, "8735089898109436": 142, "8735151886940002": 142, "873537540435791": 142, "8735437989234924": 142, "8735737204551697": 142, "8735807538032532": 142, "8736": [142, 147], "8736039996147156": 142, "8736168742179871": 142, "8736243844032288": 142, "8736431002616882": 142, "8736470341682434": 142, "8736675381660461": 142, "8736745715141296": 142, "8736775517463684": 142, "8736885190010071": 142, "8736893534660339": 142, "873724937438965": 142, "8737490773200989": 142, "8737687468528748": 142, "8737722039222717": 142, "873799741268158": 142, "8738378882408142": 142, "8738448023796082": 142, "8738517165184021": 142, "8738532662391663": 142, "8738759160041809": 142, "8738816380500793": 142, "8738909363746643": 142, "8739015460014343": 142, "8739079833030701": 142, "8739110827445984": 142, "8739122748374939": 142, "8739228844642639": 142, "8739282488822937": 142, "8739544749259949": 142, "8739596009254456": 142, "8739621043205261": 142, "8739638924598694": 142, "8739778399467468": 142, "8739801049232483": 142, "8739859461784363": 142, "874": [134, 147], "8740003705024719": 142, "8740020394325256": 142, "8740034103393555": 142, "8740085959434509": 142, "874014675617218": 142, "8740202784538269": 142, "8740306496620178": 142, "874036967754364": 142, "8740504384040833": 142, "8740752339363098": 142, "874080657958984": 142, "8740889430046082": 142, "8740951418876648": 142, "874096870422363": 142, "8741163611412048": 142, "874123573303223": 142, "874135971069336": 142, "8741397857666": 142, "8741598725318909": 142, "8741666674613953": 142, "8741793036460876": 142, "8741924166679382": 142, "8741942048072815": 142, "8741948008537292": 142, "8741959929466248": 142, "8741996884346008": 142, "8742125034332275": 142, "8742132782936096": 142, "8742164969444275": 142, "874232828617096": 142, "874260902404785": 142, "8742724061012268": 142, "8742788434028625": 142, "8742819428443909": 142, "8742900490760803": 142, "8743231892585754": 142, "8743354678153992": 142, "874340832233429": 142, "874344527721405": 142, "8743459582328796": 142, "8743463158607483": 142, "8743510842323303": 142, "8743537068367004": 142, "874362945556641": 142, "8743775486946106": 142, "874380886554718": 142, "8743831515312195": 142, "8743850588798523": 142, "874392032623291": 142, "874412536621094": 142, "8744201064109802": 142, "8744290471076965": 142, "8744316697120667": 142, "874452590942383": 142, "8744756579399109": 142, "8744867444038391": 142, "8745034337043762": 142, "8745115399360657": 142, "8745161890983582": 142, "8745197653770447": 142, "8745306134223938": 142, "8745672106742859": 142, "874579131603241": 142, "8745903372764587": 142, "8745982050895691": 142, "874601364135742": 142, "8746090531349182": 142, "8746291995048523": 142, "8746309876441956": 142, "874650776386261": 142, "8746710419654846": 142, "8746736645698547": 142, "8746930956840515": 142, "8746955990791321": 142, "8747039437294006": 142, "8747068047523499": 142, "8747212290763855": 142, "8747312426567078": 142, "874735414981842": 142, "8747547268867493": 142, "8747603297233582": 142, "8747617602348328": 142, "874771118164062": 142, "874773025512695": 142, "8747777342796326": 142, "8747850060462952": 142, "8748173117637634": 142, "8748264908790588": 142, "8748297095298767": 142, "8748401999473572": 142, "8748490214347839": 142, "8748541474342346": 142, "8748708367347717": 142, "8748864531517029": 142, "8748994469642639": 142, "8749037384986877": 142, "8749073147773743": 142, "8749200701713562": 142, "8749585747718811": 142, "8749603629112244": 142, "8749694228172302": 142, "8749731183052063": 142, "874980628490448": 142, "8749807476997375": 142, "8749873042106628": 142, "875": 142, "8750151991844177": 142, "8750422596931458": 142, "8750479817390442": 142, "8750535845756531": 142, "8750547766685486": 142, "8750668168067932": 142, "8750740885734558": 142, "875093460083008": 142, "8751038908958435": 142, "8751549124717712": 142, "8751633763313293": 142, "8751644492149353": 142, "8751924633979797": 142, "8752": 142, "8752195239067078": 142, "8752413392066956": 142, "8752416968345642": 142, "8752451539039612": 142, "8752521872520447": 142, "8752573132514954": 142, "8752774596214294": 142, "87529945373535": 142, "8753": 142, "8753103613853455": 142, "87531089782715": 142, "8753123879432678": 142, "8753208518028259": 142, "8753549456596375": 142, "8753705620765686": 142, "8754337430000305": 142, "8754516243934631": 142, "8754522204399109": 142, "8754907250404358": 142, "8754921555519104": 142, "8755": 142, "8755289912223816": 142, "8755365014076233": 142, "8755369782447815": 142, "875539243221283": 142, "87554359436035": 142, "8755504488945007": 142, "8755559325218201": 142, "8755616545677185": 142, "8755629658699036": 142, "8755856156349182": 142, "8755970597267151": 142, "8756034970283508": 142, "8756038546562195": 142, "8756298422813416": 142, "8756452202796936": 142, "8756536841392517": 142, "8756709694862366": 142, "8756839632987976": 142, "8757087588310242": 142, "87571438e": 134, "87571442e": 134, "8757176995277405": 142, "8757346272468567": 142, "8757792115211487": 142, "875783443450928": 142, "875799655914307": 142, "8758040070533752": 142, "8758156895637512": 142, "8758189082145691": 142, "8758249878883362": 142, "8758262991905212": 142, "87582927942276": 142, "875865936279297": 142, "8759002089500427": 142, "8759041428565979": 142, "8759060502052307": 142, "8759163022041321": 142, "8759180903434753": 142, "8759285807609558": 142, "875934898853302": 142, "8759372234344482": 142, "8759589791297913": 142, "8760073781013489": 142, "8760135769844055": 142, "8760136961936951": 142, "8760282397270203": 142, "8760516047477722": 142, "8760519623756409": 142, "8760684132575989": 142, "8760848641395569": 142, "876085102558136": 142, "8760949969291687": 142, "8761617541313171": 142, "8761842846870422": 142, "8761904835700989": 142, "8761982321739197": 142, "8762243390083313": 142, "8762584328651428": 142, "8762956261634827": 142, "8762990832328796": 142, "8763009905815125": 142, "8763254284858704": 142, "8764092326164246": 142, "8764352202415466": 142, "8764542937278748": 142, "8764795660972595": 142, "8764922022819519": 142, "8764957785606384": 142, "8765": 142, "8765016198158264": 142, "8765191435813904": 142, "8765692114830017": 142, "8765791058540344": 142, "8766": 142, "87660789489746": 142, "876608848571777": 142, "876615524291992": 142, "876623153686523": 142, "8766401410102844": 142, "8766409754753113": 142, "8766520619392395": 142, "8766714930534363": 142, "8766756653785706": 142, "8766966462135315": 142, "876700401306152": 142, "87671661376953": 142, "8767184615135193": 142, "8767223954200745": 142, "8767262101173401": 142, "876748085021973": 142, "8767513632774353": 142, "876753330230713": 142, "876762866973877": 142, "8768": 142, "876805782318115": 142, "8768348097801208": 142, "8768386840820312": 142, "8768476843833923": 142, "8768623471260071": 142, "8768624663352966": 142, "8768715262413025": 142, "8768742680549622": 142, "87688636779785": 142, "8768879771232605": 142, "8769": 142, "8769122958183289": 142, "87692791223526": 142, "876937210559845": 142, "8769571185112": 142, "8769609332084656": 142, "876968383789062": 142, "8770": 142, "8770864605903625": 142, "877105712890625": 142, "8771160244941711": 142, "8771190047264099": 142, "8771489262580872": 142, "8771567940711975": 142, "8771830201148987": 142, "8771952986717224": 142, "8771968483924866": 142, "8772352337837219": 142, "877248227596283": 142, "8772695660591125": 142, "8772701621055603": 142, "8772704005241394": 142, "8773013949394226": 142, "877315521240234": 142, "8773313164710999": 142, "8773936629295349": 142, "877418518066406": 142, "8774251341819763": 142, "877430260181427": 142, "8774306178092957": 142, "8774335980415344": 142, "8774409890174866": 142, "8774495720863342": 142, "8774641156196594": 142, "8775175213813782": 142, "8775268197059631": 142, "8775501847267151": 142, "87755584716797": 142, "877565324306488": 142, "8775677680969238": 142, "8775705695152283": 142, "8775829672813416": 142, "8775835037231445": 142, "8775845170021057": 142, "877621591091156": 142, "8776223063468933": 142, "8776485323905945": 142, "8776658177375793": 142, "8776734471321106": 142, "8776753544807434": 142, "8776804804801941": 142, "8776858448982239": 142, "8776889443397522": 142, "8776939511299133": 142, "8776974081993103": 142, "8777082562446594": 142, "8777222037315369": 142, "8777560591697693": 142, "877763569355011": 142, "8778347373008728": 142, "8778422474861145": 142, "8778507113456726": 142, "8778837323188782": 142, "8778948187828064": 142, "8779011368751526": 142, "8779069781303406": 142, "8779194951057434": 142, "8779341578483582": 142, "8779364228248596": 142, "8779407143592834": 142, "8779516816139221": 142, "8779718279838562": 142, "87798500061035": 142, "8779961466789246": 142, "8780": 142, "8780036568641663": 142, "8780079483985901": 142, "87801593542099": 142, "8780209422111511": 142, "8780373930931091": 142, "8780401349067688": 142, "8780668377876282": 142, "8780692219734192": 142, "878075122833252": 142, "8780868649482727": 142, "8780930638313293": 142, "8780993819236755": 142, "8781": 142, "8781067728996277": 142, "8781203627586365": 142, "8781360983848572": 142, "8781417012214661": 142, "8781549334526062": 142, "8781610131263733": 142, "8781611323356628": 142, "8781730532646179": 142, "8781784176826477": 142, "8781923651695251": 142, "8781985640525818": 142, "878200352191925": 142, "8782010674476624": 142, "878215491771698": 142, "878216564655304": 142, "8782191872596741": 142, "8782262206077576": 142, "8782266974449158": 142, "8782309889793396": 142, "8782365918159485": 142, "8782677054405212": 142, "878283679485321": 142, "8782843947410583": 142, "8782851696014404": 142, "8782867789268494": 142, "878296434879303": 142, "8783254623413086": 142, "8783271908760071": 142, "878350257873535": 142, "8783673644065857": 142, "8783732056617737": 142, "8784511685371399": 142, "8784539103507996": 142, "8784902691841125": 142, "8785": 147, "8785046935081482": 142, "878505527973175": 142, "8785302042961121": 142, "8785614371299744": 142, "8785651326179504": 142, "8785741925239563": 142, "878582775592804": 142, "8786": 142, "878605306148529": 142, "8786222338676453": 142, "8786233067512512": 142, "878628253936768": 142, "8786320090293884": 142, "8786653876304626": 142, "878679275512695": 142, "8786928057670593": 142, "878698348999023": 142, "8787080645561218": 142, "87871742248535": 142, "8787686228752136": 142, "87876957654953": 142, "8787739872932434": 142, "8787773251533508": 142, "8788084387779236": 142, "8788452744483948": 142, "8788519501686096": 142, "8788790106773376": 142, "878883421421051": 142, "8789140582084656": 142, "8789412379264832": 142, "8789860606193542": 142, "8789975047111511": 142, "8789982199668884": 142, "8790021538734436": 142, "879038333892822": 142, "8790461421012878": 142, "8790510296821594": 142, "8790574669837952": 142, "8790590167045593": 142, "8790614008903503": 142, "879079282283783": 142, "879093587398529": 142, "8791090846061707": 142, "8791194558143616": 142, "879159927368164": 142, "8791877627372742": 142, "87923663854599": 142, "8792627453804016": 142, "8792938590049744": 142, "879336416721344": 142, "879338800907135": 142, "8793393969535828": 142, "8793650269508362": 142, "8793759942054749": 142, "8793826699256897": 142, "8793845772743225": 142, "8793860077857971": 142, "8794224858283997": 142, "8794259428977966": 142, "879459381103516": 142, "8794702887535095": 142, "8794950842857361": 142, "8795292973518372": 142, "8795446753501892": 142, "8795598149299622": 142, "879599094390869": 142, "8796128630638123": 142, "8796249032020569": 142, "879627227783203": 142, "8796301484107971": 142, "8796489834785461": 142, "8796777129173279": 142, "8797052502632141": 142, "8797196745872498": 142, "8797548413276672": 142, "8798018097877502": 142, "8798083662986755": 142, "879809379577637": 142, "8798158764839172": 142, "8798184990882874": 142, "8798452019691467": 142, "8798537254333496": 142, "8798568844795227": 142, "8798726201057434": 142, "8798879981040955": 142, "8799": 142, "8799011707305908": 142, "8799086213111877": 142, "8799276947975159": 142, "879934310913086": 142, "8799363970756531": 142, "8799527287483215": 142, "879953384399414": 142, "8799741864204407": 142, "87e": 147, "87it": 147, "87m": 134, "88": [134, 145, 147, 149, 153, 158], "880": 147, "8800063729286194": 142, "88006019592285": 142, "880066394805908": 142, "88006991147995": 142, "8800978064537048": 142, "8801091313362122": 142, "8801611065864563": 142, "880199432373047": 142, "8802010416984558": 142, "880218982696533": 142, "8802223801612854": 142, "8802282214164734": 142, "8802562355995178": 142, "8802626729011536": 142, "880283534526825": 142, "8802899718284607": 142, "8803154826164246": 142, "8803204894065857": 142, "8803206086158752": 142, "8803496956825256": 142, "8803553581237793": 142, "8803824782371521": 142, "8803896307945251": 142, "88038969039917": 142, "8803933262825012": 142, "88041877746582": 142, "8804280161857605": 142, "8805187344551086": 142, "8805335164070129": 142, "8805392384529114": 142, "8805432915687561": 142, "8805683255195618": 142, "8805690407752991": 142, "8805788159370422": 142, "88062286376953": 142, "8806738257408142": 142, "880685031414032": 142, "8806960582733154": 142, "880699157714844": 142, "880710601806641": 142, "8807246088981628": 142, "8807756304740906": 142, "880789041519165": 142, "8807e": 148, "8808115124702454": 142, "8808426260948181": 142, "8808433413505554": 142, "8808665871620178": 142, "8808935284614563": 142, "8809047341346741": 142, "8809158205986023": 142, "880916595458984": 142, "880956649780273": 142, "880960": 153, "8809750080108643": 142, "8809779286384583": 142, "8810291886329651": 142, "8810587525367737": 142, "8810893893241882": 142, "8810994029045105": 142, "8811107277870178": 142, "8811455368995667": 142, "8811556696891785": 142, "8811596035957336": 142, "8811613917350769": 142, "8811672329902649": 142, "88116854429245": 142, "8812317252159119": 142, "8812364935874939": 142, "881237030029297": 142, "8812651038169861": 142, "8812680840492249": 142, "8812699913978577": 142, "8812e": 147, "8813281655311584": 142, "8813342452049255": 142, "8813392519950867": 142, "881363570690155": 142, "8813983798027039": 142, "8814722895622253": 142, "881481170654297": 142, "881497323513031": 142, "8815059065818787": 142, "8815425038337708": 142, "881560742855072": 142, "881561815738678": 142, "8815745711326599": 142, "8815979361534119": 142, "8816033005714417": 142, "8816331028938293": 142, "8816335797309875": 142, "8816359639167786": 142, "881649017333984": 142, "8816563487052917": 142, "8816773295402527": 142, "88169926404953": 142, "881706178188324": 142, "8817296624183655": 142, "8817479014396667": 142, "881766140460968": 142, "881784197001252e": 142, "8817844986915588": 142, "8817899823188782": 142, "8817976117134094": 142, "8818": 142, "8818585276603699": 142, "8818846344947815": 142, "881907045841217": 142, "8819319605827332": 142, "8819583058357239": 142, "881992518901825": 142, "882": 147, "8820281624794006": 142, "8820323348045349": 142, "8820338845252991": 142, "882038593292236": 142, "8820545077323914": 142, "8820578455924988": 142, "8820584416389465": 142, "8820789456367493": 142, "8820804953575134": 142, "8821207880973816": 142, "8821784853935242": 142, "882186889648438": 142, "8821988701820374": 142, "8822037577629089": 142, "8822197318077087": 142, "882226943969727": 142, "8822636008262634": 142, "8822887539863586": 142, "8823336958885193": 142, "8823398947715759": 142, "882358968257904": 142, "8823712468147278": 142, "8823782801628113": 142, "8823842406272888": 142, "8824047446250916": 142, "8824126124382019": 142, "8824643492698669": 142, "8824651837348938": 142, "8825066685676575": 142, "8825182914733887": 142, "88252067565918": 142, "8825299143791199": 142, "8825394511222839": 142, "882606506347656": 142, "8826224207878113": 142, "882628858089447": 142, "8826501369476318": 142, "8826572299003601": 142, "8826575875282288": 142, "8827119469642639": 142, "8827133774757385": 142, "8827158808708191": 142, "8827198147773743": 142, "8827483057975769": 142, "8827504515647888": 142, "8827640414237976": 142, "882788181304932": 142, "882802426815033": 142, "8828057646751404": 142, "8828206062316895": 142, "8828344941139221": 142, "882837295532227": 142, "8828725218772888": 142, "8828780055046082": 142, "882890701293945": 142, "8829": 142, "8829024434089661": 142, "8829057812690735": 142, "8829132914543152": 142, "8829277157783508": 142, "882936477661133": 142, "882957398891449": 142, "8829651474952698": 142, "8830010294914246": 142, "8830040097236633": 142, "8830066323280334": 142, "8830437064170837": 142, "883045494556427": 142, "883051872253418": 142, "883058488368988": 142, "8831294178962708": 142, "8831533789634705": 142, "8831700682640076": 142, "8831844925880432": 142, "8832034468650818": 142, "8832147717475891": 142, "883220672607422": 142, "8832456469535828": 142, "8833314776420593": 142, "8833519816398621": 142, "883375346660614": 142, "8833780884742737": 142, "883402407169342": 142, "8834025263786316": 142, "8834044337272644": 142, "8834096789360046": 142, "8834137320518494": 142, "8834486603736877": 142, "8834581971168518": 142, "8834612965583801": 142, "883485734462738": 142, "8835017085075378": 142, "8835696578025818": 142, "8835754990577698": 142, "8835785984992981": 142, "88358074426651": 142, "883596420288086": 142, "8835976719856262": 142, "88361120223999": 142, "8836564421653748": 142, "883670806884766": 142, "8836901783943176": 142, "8837": 139, "8837154507637024": 142, "8837173581123352": 142, "8837364315986633": 142, "8837460875511169": 142, "8837551474571228": 142, "8837700486183167": 142, "8837845921516418": 142, "8837929368019104": 142, "883819580078125": 142, "883856773376465": 142, "8838678002357483": 142, "8838853240013123": 142, "8838892579078674": 142, "8839044570922852": 142, "883955001831055": 142, "8839656710624695": 142, "8839707970619202": 142, "883984386920929": 142, "8839917778968811": 142, "883996963500977": 142, "884": 147, "884006917476654": 142, "8840215802192688": 142, "8840369582176208": 142, "8840429186820984": 142, "8840551972389221": 142, "8840650916099548": 142, "8841126561164856": 142, "8841188549995422": 142, "88412857055664": 142, "884130511432886e": 142, "88414383e": 134, "88414440e": 134, "8841684460639954": 142, "8841752409934998": 142, "884181797504425": 142, "884197235107422": 142, "8842": 142, "8842417597770691": 142, "8843": 142, "8843185305595398": 142, "8843228220939636": 142, "8843229413032532": 142, "884336531162262": 142, "8843571543693542": 142, "8843633532524109": 142, "884380415314808e": 142, "8843814730644226": 142, "8843904137611389": 142, "8843985199928284": 142, "8844050765037537": 142, "8844056725502014": 142, "884429931640625": 142, "8844320178031921": 142, "8844411969184875": 142, "8844532370567322": 142, "8844606280326843": 142, "8844695687294006": 142, "8844776749610901": 142, "8845": 147, "8845165371894836": 142, "8845359683036804": 142, "8845362067222595": 142, "884536743164062": 142, "8845433592796326": 142, "884549081325531": 142, "8845816254615784": 142, "8845838904380798": 142, "884586334228516": 142, "884596049785614": 142, "8846060633659363": 142, "8846208453178406": 142, "8846281170845032": 142, "884632110595703": 142, "8846473097801208": 142, "884654700756073": 142, "88467025756836": 142, "8846732974052429": 142, "884687423706055": 142, "8846921324729919": 142, "8847042918205261": 142, "8847348093986511": 142, "88474041223526": 142, "8847433924674988": 142, "8847504258155823": 142, "8847516179084778": 142, "8847590088844299": 142, "8847673535346985": 142, "8847759366035461": 142, "8847783207893372": 142, "8848": 142, "8848124146461487": 142, "88482266664505": 142, "8848511576652527": 142, "8848589062690735": 142, "8848989605903625": 142, "8849124312400818": 142, "8849171996116638": 142, "8849490284919739": 142, "8849746584892273": 142, "8850040435791": 142, "8850063681602478": 142, "8850277066230774": 142, "8850278258323669": 142, "8850321173667908": 142, "885032653808594": 142, "8850553631782532": 142, "8850927948951721": 142, "8850952982902527": 142, "8850975632667542": 142, "8850995898246765": 142, "885107040405273": 142, "8851283192634583": 142, "8851292729377747": 142, "8851523995399475": 142, "8851709961891174": 142, "8852023482322693": 142, "885227620601654": 142, "8852333426475525": 142, "8852360844612122": 142, "8852422833442688": 142, "8852655291557312": 142, "8852764964103699": 142, "8852779269218445": 142, "885283887386322": 142, "885297775268555": 142, "8853067755699158": 142, "8853201270103455": 142, "88532018661499": 142, "885322630405426": 142, "885356605052948": 142, "8853692412376404": 142, "8853868842124939": 142, "8853947520256042": 142, "8854153752326965": 142, "8854320645332336": 142, "8854350447654724": 142, "885436475276947": 142, "885452270507812": 142, "8854525685310364": 142, "885474681854248": 142, "8855010867118835": 142, "8855037689209": 142, "885505735874176": 142, "885522842407227": 142, "8855351805686951": 142, "8855357766151428": 142, "8855379223823547": 142, "8855567574501038": 142, "8855598568916321": 142, "885565459728241": 142, "8856204152107239": 142, "8856260180473328": 142, "885629653930664": 142, "88563472032547": 142, "8856359124183655": 142, "8856642842292786": 142, "8856778740882874": 142, "8856863379478455": 142, "8856993317604065": 142, "8857": 142, "885713517665863": 142, "8857148289680481": 142, "885723114013672": 142, "8857384324073792": 142, "885742723941803": 142, "8857817053794861": 142, "8857854008674622": 142, "8857893347740173": 142, "8857949376106262": 142, "8857966065406799": 142, "8858271241188049": 142, "8858368992805481": 142, "8858497738838196": 142, "8858509659767151": 142, "8858547806739807": 142, "8858559727668762": 142, "8858599066734314": 142, "885881": 156, "885884702205658": 142, "88591766357422": 142, "8859265446662903": 142, "8859434723854065": 142, "88594627380371": 142, "8859524130821228": 142, "8859551548957825": 142, "885958671569824": 142, "8859656453132629": 142, "8859773278236389": 142, "8859863877296448": 142, "8859936594963074": 142, "8860": 142, "8860215544700623": 142, "8860229849815369": 142, "8860285878181458": 142, "8860334753990173": 142, "8860594630241394": 142, "8860597014427185": 142, "8860635161399841": 142, "886070728302002": 142, "8860867619514465": 142, "8860886693000793": 142, "8861011862754822": 142, "8861204981803894": 142, "8861343264579773": 142, "8861481547355652": 142, "8861542344093323": 142, "88616371154785": 142, "8861933350563049": 142, "8862001299858093": 142, "8862175345420837": 142, "886224091053009": 142, "8862258791923523": 142, "8862791657447815": 142, "8863": 134, "886305034160614": 142, "8863207697868347": 142, "8863232731819153": 142, "8863251805305481": 142, "886340320110321": 142, "8863547444343567": 142, "886377334594727": 142, "8863882422447205": 142, "8863963484764099": 142, "8863986134529114": 142, "8864020705223083": 142, "8864046931266785": 142, "8864229321479797": 142, "8864292502403259": 142, "8864392638206482": 142, "8864522576332092": 142, "886456310749054": 142, "8864628672599792": 142, "8864834904670715": 142, "8864865899085999": 142, "8864918351173401": 142, "8864932656288147": 142, "8864986300468445": 142, "8865154385566711": 142, "8865405917167664": 142, "886559009552002": 142, "886559214130077": 142, "886559214130079": 142, "8865620493888855": 142, "8865917325019836": 142, "8866034150123596": 142, "8866168856620789": 142, "8866495490074158": 142, "88665372133255": 142, "886659622192383": 142, "8866634964942932": 142, "8866636157035828": 142, "8866693377494812": 142, "8866762518882751": 142, "8866872191429138": 142, "8867120146751404": 142, "8867395520210266": 142, "8867462277412415": 142, "8867728114128113": 142, "8867842555046082": 142, "8867865204811096": 142, "8867905139923096": 142, "8867973685264587": 142, "8868188261985779": 142, "8868353962898254": 142, "8868386149406433": 142, "8868498206138611": 142, "886865139007568": 142, "8868734240531921": 142, "8868746161460876": 142, "8868932127952576": 142, "8869039416313171": 142, "886910617351532": 142, "886933": 156, "8869429230690002": 142, "8869699835777283": 142, "8869852423667908": 142, "8869871497154236": 142, "886997640132904": 142, "8870304226875305": 142, "8870765566825867": 142, "8870804905891418": 142, "8870832324028015": 142, "8871158957481384": 142, "8871269822120667": 142, "8871274590492249": 142, "8871363997459412": 142, "8871503472328186": 142, "887161254882812": 142, "8871996998786926": 142, "8872058987617493": 142, "887218475341797": 142, "8872234225273132": 142, "8872542977333069": 142, "8872767090797424": 142, "8872844576835632": 142, "8872907757759094": 142, "8872936367988586": 142, "887317180633545": 147, "8873174786567688": 142, "8873215317726135": 142, "8873249888420105": 142, "8873360753059387": 142, "88733673095703": 142, "8873403668403625": 142, "8873471617698669": 142, "8873583674430847": 142, "8873611092567444": 142, "8873613476753235": 142, "8873737454414368": 142, "887374877929688": 142, "8874421715736389": 142, "8874425292015076": 142, "8874431252479553": 142, "8874454498291": 142, "8874487280845642": 142, "8874511122703552": 142, "8874735236167908": 142, "8874852061271667": 142, "8874894976615906": 142, "8875134587287903": 142, "8875393271446228": 142, "8875488638877869": 142, "8875630497932434": 142, "8875755667686462": 142, "8875871300697327": 142, "8875951766967773": 142, "8875965476036072": 142, "8876157402992249": 142, "8876522183418274": 142, "887677013874054": 142, "8876877427101135": 142, "8877012133598328": 142, "887708842754364": 142, "8877233862876892": 142, "8877314925193787": 142, "8877350687980652": 142, "8877493739128113": 142, "8877678513526917": 142, "887772262096405": 142, "8877829909324646": 142, "8877833485603333": 142, "8878012299537659": 142, "8878044486045837": 142, "8878081440925598": 142, "8878145813941956": 142, "887822687625885": 142, "8878284096717834": 142, "8878571391105652": 142, "8878632187843323": 142, "8878715634346008": 142, "8878776431083679": 142, "8878900408744812": 142, "88791847229004": 142, "8879256844520569": 142, "8879265189170837": 142, "8879445195198059": 142, "8879461288452148": 142, "887946605682373": 142, "8879470825195312": 142, "8879751563072205": 142, "8879815936088562": 142, "888": 142, "8880": 142, "8880018591880798": 142, "888024628162384": 142, "888037383556366": 142, "8880525231361389": 142, "8880549073219299": 142, "8880672454834": 142, "888069212436676": 142, "8880890011787415": 142, "8880994915962219": 142, "8880e": 147, "8881": 142, "88812828063965": 142, "8881306052207947": 142, "8881407380104065": 142, "8881624341011047": 142, "8881765007972717": 142, "8881768584251404": 142, "8881855607032776": 142, "8882": 142, "888206481933594": 142, "8882074952125549": 142, "8882282376289368": 142, "8882291913032532": 142, "8882383704185486": 142, "8882399201393127": 142, "8882420659065247": 142, "8882449269294739": 142, "8882734179496765": 142, "888282775878906": 142, "8883": 142, "8883101344108582": 142, "8883156180381775": 142, "888340175151825": 142, "888353168964386": 142, "8883610367774963": 142, "888376235961914": 142, "8883842825889587": 142, "8883962035179138": 142, "8884": 142, "8884044289588928": 142, "8884220123291": 142, "8884491324424744": 142, "8884630799293518": 142, "8884642720222473": 142, "8884682059288025": 142, "8884831070899963": 142, "8885001540184021": 142, "8885090947151184": 142, "8885204792022705": 142, "88852459192276": 142, "8885319828987122": 142, "8885340094566345": 142, "8885486721992493": 142, "888563632965088": 142, "888589084148407": 142, "8885957598686218": 142, "8885980248451233": 142, "8886": 142, "8886224627494812": 142, "8886241316795349": 142, "8886303305625916": 142, "8886468410491943": 142, "8886736035346985": 142, "8886801600456238": 142, "8886834979057312": 142, "888713538646698": 142, "8887262940406799": 142, "888765811920166": 142, "8888091444969177": 142, "8888128399848938": 142, "8888136744499207": 142, "8888229727745056": 142, "8888261914253235": 142, "8888301253318787": 142, "8888311982154846": 142, "8888487219810486": 142, "888860285282135": 142, "8888761401176453": 142, "888879776000977": 142, "888900101184845": 142, "8889099955558777": 142, "8889203667640686": 142, "8889607787132263": 142, "8889709115028381": 142, "8889996409416199": 142, "8890": 142, "8890034556388855": 142, "8890148997306824": 142, "8890395760536194": 142, "8890612721443176": 142, "8890804648399353": 142, "8891027569770813": 142, "8891041874885559": 142, "8891065716743469": 142, "8891096711158752": 142, "8891394734382629": 142, "8891547322273254": 142, "8891589045524597": 142, "8891704678535461": 142, "8891775012016296": 142, "8891938328742981": 142, "8892199397087097": 142, "8892280459403992": 142, "8892640471458435": 142, "8892651200294495": 142, "8892702460289001": 142, "889273464679718": 142, "8892781138420105": 142, "8892839550971985": 142, "8892920613288879": 142, "8892e": 147, "8893008828163147": 142, "8893114924430847": 142, "8893211483955383": 142, "8893371224403381": 142, "8893393874168396": 142, "8893424868583679": 142, "8893633484840393": 142, "8893687129020691": 142, "8893702626228333": 142, "889389514923096": 142, "8893905282020569": 142, "8894067406654358": 142, "8894087672233582": 142, "8894161581993103": 142, "889431893825531": 142, "8894544243812561": 142, "8894699215888977": 142, "8894757628440857": 142, "88947868347168": 142, "8894898295402527": 142, "8895056843757629": 142, "889522552490234": 142, "8895395398139954": 142, "889545440673828": 142, "8895469307899475": 142, "8895576596260071": 142, "8895595669746399": 142, "8895617127418518": 142, "889572143554688": 142, "8895724415779114": 142, "8895754218101501": 142, "8895861506462097": 142, "8895992636680603": 142, "8896128535270691": 142, "8896130919456482": 142, "8896186947822571": 142, "8896220326423645": 142, "8896375298500061": 142, "8896414637565613": 142, "8896484971046448": 142, "8896514773368835": 142, "8896620869636536": 142, "8896662592887878": 142, "8896669745445251": 142, "8896706700325012": 142, "889694213867188": 147, "8897001147270203": 142, "8897011876106262": 142, "889706134796143": 142, "8897201418876648": 142, "8897241950035095": 142, "8897365927696228": 142, "8897725939750671": 142, "8897908329963684": 142, "8897947669029236": 142, "8898106217384338": 142, "8898178935050964": 142, "889824390411377": 142, "8898350596427917": 142, "889839231967926": 142, "8898704648017883": 142, "8898710608482361": 142, "8898782134056091": 142, "8898832201957703": 142, "8898960947990417": 142, "8899009823799133": 142, "889930784702301": 142, "889936625957489": 142, "8899620175361633": 142, "889985978603363": 142, "8899913430213928": 142, "8899994492530823": 142, "88dcc02fd8c174a72d2c416878fc44ff": 129, "88e": 147, "88it": 147, "88m": 134, "89": [134, 147, 149], "8900004029273987": 142, "8900182843208313": 142, "8900259137153625": 142, "8900302052497864": 142, "8900352120399475": 142, "8900405764579773": 142, "8900442719459534": 142, "8900662064552307": 142, "890084743499756": 142, "8900863528251648": 142, "8901093602180481": 142, "8901136517524719": 142, "890144348144531": 142, "8901488184928894": 142, "89015769958496": 142, "8901590704917908": 142, "89016193151474": 142, "890163242816925": 142, "8901795744895935": 142, "8901806473731995": 142, "8901810050010681": 142, "8901869654655457": 142, "890188217163086": 142, "8901947140693665": 142, "8902055621147156": 142, "8902596831321716": 142, "8902614712715149": 142, "8902682662010193": 142, "89029884338379": 142, "8903017640113831": 142, "8903226256370544": 142, "8903424143791199": 142, "8903726935386658": 142, "8903735280036926": 142, "8903812766075134": 142, "8904": 153, "8904053568840027": 142, "8904114365577698": 142, "8904115557670593": 142, "8904158473014832": 142, "8904257416725159": 142, "890450656414032": 142, "8904774785041809": 142, "8904898762702942": 142, "890497207641602": 142, "8905234932899475": 142, "8905298113822937": 142, "890556335449219": 142, "890573501586914": 142, "8905860781669617": 142, "8905991911888123": 142, "8906066417694092": 142, "890609741210938": 142, "890619695186615": 142, "8906332850456238": 142, "8906415104866028": 142, "8906423449516296": 142, "8906493782997131": 142, "890710830688477": 142, "8907261490821838": 142, "8907411694526672": 142, "8907435536384583": 142, "8907626271247864": 142, "8907660841941833": 142, "8907752633094788": 142, "8907870650291443": 142, "8907924294471741": 142, "8908064961433411": 142, "890807628631592": 142, "8908273577690125": 142, "890830993652344": 142, "8908640742301941": 142, "8908761143684387": 142, "8908974528312683": 142, "8909160494804382": 142, "89091682434082": 142, "8909701704978943": 142, "8909763693809509": 142, "890994131565094": 142, "891": 142, "8910072445869446": 142, "8910130858421326": 142, "8910142779350281": 142, "8910197615623474": 142, "8910282254219055": 142, "8910368084907532": 142, "8910413384437561": 142, "8910477757453918": 142, "8910725712776184": 142, "8910751938819885": 142, "8910775780677795": 142, "8911": 142, "8911027312278748": 142, "891120970249176": 142, "8911224007606506": 142, "8911229968070984": 142, "8911418914794922": 142, "891147792339325": 142, "8911684155464172": 142, "89117032289505": 142, "891178131103516": 142, "8911848664283752": 142, "8911888003349304": 142, "891194820404053": 142, "8911965489387512": 142, "89122074842453": 142, "8912513852119446": 142, "89126968383789": 142, "891304075717926": 142, "8913195729255676": 142, "8913256525993347": 142, "891333281993866": 142, "8913665413856506": 142, "8913679718971252": 142, "8913770318031311": 142, "891386032104492": 142, "89139175415039": 142, "8914": 142, "8914006352424622": 142, "8914133906364441": 142, "89142608642578": 142, "8914414048194885": 142, "8914496302604675": 142, "8914650082588196": 142, "8914746642112732": 142, "8914840817451477": 142, "8914914727210999": 142, "8914926648139954": 142, "8914973139762878": 142, "891521155834198": 142, "8915302157402039": 142, "8915310502052307": 142, "8915473818778992": 142, "8915569186210632": 142, "891571044921875": 142, "8915935158729553": 142, "8915975689888": 142, "8916438221931458": 142, "8916453719139099": 142, "8916569352149963": 142, "891663134098053": 142, "891681671142578": 142, "8916907906532288": 142, "8917023539543152": 142, "891716003417969": 142, "8917236328125": 142, "89173126220703": 142, "8917346596717834": 142, "8917432427406311": 142, "8917716145515442": 142, "89177703857422": 142, "8917849659919739": 142, "8917882442474365": 142, "8917939066886902": 142, "8917985558509827": 142, "891801357269287": 142, "8918046951293945": 142, "8918200135231018": 142, "8918238282203674": 142, "8918293118476868": 142, "8918470740318298": 142, "8918914198875427": 142, "8918991684913635": 142, "8919029831886292": 142, "89191073179245": 142, "8919121623039246": 142, "8919182419776917": 142, "89192134141922": 142, "8919269442558289": 142, "8919306397438049": 142, "8919358849525452": 142, "8919429183006287": 142, "8919437527656555": 142, "8919771313667297": 142, "892": 142, "8920015692710876": 142, "8920159935951233": 142, "8920190930366516": 142, "8920263648033142": 142, "8920328617095947": 142, "892037570476532": 142, "8920469880104065": 142, "8920473456382751": 142, "8920559287071228": 142, "8920664191246033": 142, "8920708298683167": 142, "8920816779136658": 142, "8920838236808777": 142, "8921005129814148": 142, "8921073079109192": 142, "8921461701393127": 142, "8921598792076111": 142, "8921647667884827": 142, "8921707272529602": 142, "8921837210655212": 142, "8922": 147, "8922048211097717": 142, "8922105431556702": 142, "8922160267829895": 142, "8922199606895447": 142, "8922566771507263": 142, "892288863658905": 142, "8922925591468811": 142, "8922975659370422": 142, "8923327326774597": 142, "8923414349555969": 142, "892345130443573": 142, "8923497796058655": 142, "8923612236976624": 142, "892367362976074": 142, "892367422580719": 142, "8923761248588562": 142, "892390251159668": 142, "8924002051353455": 142, "8924242854118347": 142, "892444908618927": 142, "8924530148506165": 142, "8924548625946045": 142, "8924580216407776": 142, "892462432384491": 142, "8924657702445984": 142, "8924844861030579": 142, "8924922347068787": 142, "8925140500068665": 142, "8925254940986633": 142, "8925366997718811": 142, "8925585150718689": 142, "8925613760948181": 142, "892566680908203": 142, "8925774693489075": 142, "8925895094871521": 142, "8926237225532532": 142, "8926391005516052": 142, "8926395773887634": 142, "89266586303711": 142, "892681121826172": 142, "89268684387207": 142, "8926869034767151": 142, "8926975131034851": 142, "8927000164985657": 142, "8927043080329895": 142, "892732620239258": 142, "8927486538887024": 142, "8927510380744934": 142, "892763078212738": 142, "8927659392356873": 142, "8927673697471619": 142, "8927696347236633": 142, "8927951455116272": 142, "8927966952323914": 142, "8928032517433167": 142, "8928119540214539": 142, "8928148150444031": 142, "8928191065788269": 142, "8928502202033997": 142, "8928565382957458": 142, "8928654789924622": 142, "8928670287132263": 142, "8928738236427307": 142, "8928820490837097": 142, "8928987383842468": 142, "8929094672203064": 142, "8929138779640198": 142, "8929312825202942": 142, "892935752868652": 142, "8929457068443298": 142, "892970621585846": 142, "89297638e": 134, "89297657e": 134, "8929783701896667": 142, "8929817080497742": 142, "8929913640022278": 142, "8929924964904785": 142, "8929929137229919": 142, "89299774169922": 142, "8929995894432068": 142, "893": [142, 147], "8930": 142, "8930007815361023": 142, "8930049538612366": 142, "8930057883262634": 142, "8930097222328186": 142, "8930104374885559": 142, "8930152058601379": 142, "8930174708366394": 142, "8930291533470154": 142, "8930298686027527": 142, "8930359482765198": 142, "8930371403694153": 142, "8930391669273376": 142, "8930545449256897": 142, "8930631279945374": 142, "8930632472038269": 142, "8930651545524597": 142, "8930674195289612": 142, "8930745720863342": 142, "8930860161781311": 142, "8930928111076355": 142, "8930942416191101": 142, "8930956721305847": 142, "8930957913398743": 142, "8931023478507996": 142, "8931323885917664": 142, "893133819103241": 142, "8931339383125305": 142, "8931348919868469": 142, "8931391835212708": 142, "8931816220283508": 142, "8932": 142, "8932129740715027": 142, "8932241797447205": 142, "8932268023490906": 142, "8932320475578308": 142, "8932384848594666": 142, "89324551820755": 142, "8932475447654724": 142, "8932490944862366": 142, "8932539820671082": 142, "8932560086250305": 142, "8932761549949646": 142, "893298327922821": 142, "8933238387107849": 142, "893329620361328": 142, "8933410048484802": 142, "893353283405304": 142, "89335823059082": 142, "8933599591255188": 142, "893364429473877": 142, "8933765292167664": 142, "8933988213539124": 142, "8934": 142, "8934009671211243": 142, "8934021592140198": 142, "8934080004692078": 142, "8934083580970764": 142, "8934099078178406": 142, "8934139609336853": 142, "8934215903282166": 142, "8934226632118225": 142, "893443763256073": 142, "8934702277183533": 142, "8934736847877502": 142, "893500030040741": 142, "8935012221336365": 142, "8935026526451111": 142, "8935186266899109": 142, "8935191035270691": 142, "8935480713844299": 142, "8935489058494568": 142, "8935601115226746": 142, "8935694098472595": 142, "8935790657997131": 142, "893587112426758": 142, "8935926556587219": 142, "8935946822166443": 142, "8936": 142, "89360237121582": 142, "8936113715171814": 142, "8936141133308411": 142, "8936240077018738": 142, "8936267495155334": 142, "893632": [147, 149], "8936366438865662": 142, "8936466574668884": 142, "893653869628906": 142, "893653929233551": 142, "8936558365821838": 142, "893659770488739": 142, "8936641812324524": 142, "8936731219291687": 142, "893676221370697": 142, "893677294254303": 142, "893683135509491": 142, "8936873078346252": 142, "8936908841133118": 142, "8936948180198669": 142, "8936997056007385": 142, "8937": 142, "8937130570411682": 142, "8937225937843323": 142, "8937234282493591": 142, "893730103969574": 142, "8937304615974426": 142, "8937409520149231": 142, "893748939037323": 142, "8937544226646423": 142, "8937625288963318": 142, "893766462802887": 142, "8937690854072571": 142, "893795907497406": 142, "8938": 142, "893866240978241": 142, "89386749267578": 142, "8938867449760437": 142, "8938944935798645": 142, "8939": 142, "8939065337181091": 142, "893909454345703": 142, "8939099907875061": 142, "8939200043678284": 142, "8939256072044373": 142, "8939312100410461": 142, "8939327597618103": 142, "8939409852027893": 142, "8939597010612488": 142, "8939793705940247": 142, "893981456756592": 142, "894": 142, "894016683101654": 142, "8940263390541077": 142, "8940590023994446": 142, "8940896391868591": 142, "8940932154655457": 142, "8940972685813904": 142, "894102573394775": 142, "8941056132316589": 142, "89412498474121": 142, "8941261172294617": 142, "894131660461426": 142, "8941457867622375": 142, "8941507935523987": 142, "8941649794578552": 142, "8941846489906311": 142, "894194602966309": 142, "8942005038261414": 142, "894203245639801": 142, "8942161202430725": 142, "8942448496818542": 142, "8942671418190002": 142, "8942870497703552": 142, "8942932486534119": 142, "8943007588386536": 142, "8943104147911072": 142, "8943219780921936": 142, "894336700439453": 142, "8943402171134949": 142, "8943580985069275": 142, "894371032714844": 142, "894385814666748": 142, "8944272994995117": 142, "8944355845451355": 142, "8944359421730042": 142, "89445686340332": 142, "8944588303565979": 142, "8944700360298157": 142, "8944783806800842": 142, "8944888710975647": 142, "894489288330078": 142, "8945055603981018": 142, "8945147395133972": 142, "8945206999778748": 142, "894521713256836": 142, "8945325016975403": 142, "8945396542549133": 142, "8945422768592834": 142, "8945589661598206": 142, "8945629000663757": 142, "8945668339729309": 142, "8945764899253845": 142, "8946163058280945": 142, "8946346640586853": 142, "8946376442909241": 142, "894655168056488": 142, "8946868777275085": 142, "8946952223777771": 142, "8947215676307678": 142, "8947226405143738": 142, "8947432637214661": 142, "8947455286979675": 142, "894759654998779": 142, "8947684168815613": 142, "8947799801826477": 142, "8947803378105164": 142, "89479637145996": 142, "894817054271698": 142, "8948234915733337": 142, "894838333129883": 142, "8948429226875305": 142, "8948503136634827": 142, "894859254360199": 142, "89487075805664": 142, "8948805928230286": 142, "8948833346366882": 142, "8949036598205566": 142, "8949103951454163": 142, "894912719726562": 142, "8949143290519714": 142, "8949361443519592": 142, "8949491381645203": 142, "8949608206748962": 142, "89496248960495": 142, "89499855041504": 142, "895003616809845": 142, "8950067162513733": 142, "8950203061103821": 142, "8950302004814148": 142, "8950334191322327": 142, "8950410485267639": 142, "8950524926185608": 142, "8950740694999695": 142, "8950802683830261": 142, "8951236605644226": 142, "89512825012207": 142, "8951389193534851": 142, "8951489925384521": 142, "8951509594917297": 142, "8951528668403625": 142, "895164489746094": 142, "8951653838157654": 142, "8951959013938904": 142, "895210325717926": 142, "8952186703681946": 142, "8952206969261169": 142, "8952677845954895": 142, "895267963409424": 142, "8952801823616028": 142, "8952811360359192": 142, "895296037197113": 142, "8953049778938293": 142, "8953154683113098": 142, "8953261971473694": 142, "8953732848167419": 142, "8953986763954163": 142, "8954": 142, "8954091668128967": 142, "8954126238822937": 142, "8954320549964905": 142, "8954693675041199": 142, "8954764008522034": 142, "8954982161521912": 142, "8955195546150208": 142, "895541191101074": 142, "8955481648445129": 142, "8955497145652771": 142, "8955612778663635": 142, "8955705761909485": 142, "8955726623535156": 142, "8955833911895752": 142, "8955993056297302": 142, "8956003785133362": 142, "8956323266029358": 142, "8956541419029236": 142, "8956618905067444": 142, "895666122436523": 142, "895709991455078": 142, "8957358002662659": 142, "8957402110099792": 142, "8957405686378479": 142, "8957536816596985": 142, "8957672715187073": 142, "8957719206809998": 142, "8957918286323547": 142, "895809173583984": 142, "8958249688148499": 142, "8958300948143005": 142, "895845353603363": 142, "8958467841148376": 142, "8958515524864197": 142, "8958541750907898": 142, "8958542943000793": 142, "8958709836006165": 142, "8958777785301208": 142, "8958809971809387": 142, "8959181904792786": 142, "8959406018257141": 142, "895946204662323": 142, "895983874797821": 142, "8959848284721375": 142, "8959993720054626": 142, "896": 145, "8960112929344177": 142, "8960124850273132": 142, "8960309624671936": 142, "8960360884666443": 142, "896055221557617": 142, "8960593342781067": 142, "8960698246955872": 142, "8960714936256409": 142, "8960850834846497": 142, "8961175084114075": 142, "8961202502250671": 142, "896121084690094": 142, "8961219191551208": 142, "8961384892463684": 142, "8961389660835266": 142, "896141052246094": 142, "8961531519889832": 142, "8961626887321472": 142, "8961646556854248": 142, "8961663842201233": 142, "8961769938468933": 142, "8961827158927917": 142, "8961967825889587": 142, "8961986899375916": 142, "8961995244026184": 142, "8962016701698303": 142, "8962307572364807": 142, "8962464332580566": 142, "8962482810020447": 142, "8962520956993103": 142, "8962661623954773": 142, "8962666392326355": 142, "8962740302085876": 142, "896274745464325": 142, "8962982296943665": 142, "8963112235069275": 142, "896339416503906": 142, "8963455557823181": 142, "896358489990234": 142, "8963713049888611": 142, "896394729614258": 142, "8964123129844666": 142, "896453857421875": 142, "8964604735374451": 142, "8964704871177673": 142, "8964776396751404": 142, "8965": 142, "8965036273002625": 142, "8965045809745789": 142, "8965067267417908": 142, "896516799926758": 142, "8965292572975159": 142, "8965298533439636": 142, "896533966064453": 142, "8965354561805725": 142, "8965368866920471": 142, "8965583443641663": 142, "8965644240379333": 142, "8965843319892883": 142, "896595478057861": 142, "8966": 142, "896663248538971": 142, "8966789841651917": 142, "896693229675293": 142, "8966994881629944": 142, "89672088623047": 142, "896723210811615": 142, "8967518210411072": 142, "896756112575531": 142, "8967611193656921": 142, "89677619934082": 142, "8968634009361267": 142, "89688640832901": 142, "8968880772590637": 142, "8969050049781799": 142, "89690762758255": 142, "89692497253418": 142, "8969318270683289": 142, "8969473242759705": 142, "8969566226005554": 142, "896971702575684": 142, "8969858288764954": 142, "8970109820365906": 142, "897018432617188": 142, "897029876708984": 142, "8970323204994202": 142, "8970986008644104": 142, "8971101641654968": 142, "8971399664878845": 142, "897143542766571": 142, "8971622586250305": 142, "8971777558326721": 142, "8971797823905945": 142, "8971815705299377": 142, "8972397446632385": 142, "8972509184": 158, "8972646594047546": 142, "8972653746604919": 142, "8972707390785217": 142, "8973": 142, "8973111510276794": 142, "8973185420036316": 142, "8973230719566345": 142, "897353649139404": 142, "8973624110221863": 142, "8973715901374817": 142, "897373616695404": 142, "8974424004554749": 142, "8974485993385315": 142, "8974892497062683": 142, "897491991519928": 142, "8974947333335876": 142, "8975004553794861": 142, "89751797914505": 142, "8975327610969543": 142, "8975340723991394": 142, "8975643515586853": 142, "8975849747657776": 142, "8975921273231506": 142, "8976": 142, "89761734008789": 142, "89765167236328": 142, "8976522088050842": 142, "8976576924324036": 142, "897659301757812": 142, "8976675868034363": 142, "8976793885231018": 142, "8977": 142, "8977308869361877": 142, "8977312445640564": 142, "8977327942848206": 142, "897769927978516": 142, "8977720141410828": 142, "8977914452552795": 142, "8978034853935242": 142, "8978114724159241": 142, "897822916507721": 142, "8978349566459656": 142, "8979231715202332": 142, "897937774658203": 142, "8979558348655701": 142, "897964000701904": 142, "8979811072349548": 142, "898": [132, 157], "8980327248573303": 142, "898033142089844": 142, "8980520367622375": 142, "8980597853660583": 142, "8980626463890076": 142, "8980633616447449": 142, "8980769515037537": 142, "8980852961540222": 142, "8980883955955505": 142, "898090362548828": 142, "898093044757843": 142, "8981125950813293": 142, "8981130719184875": 142, "8981502652168274": 142, "898165762424469": 142, "8981967568397522": 142, "8981978297233582": 142, "8982": 142, "8982227444648743": 142, "898256301879883": 142, "8983": 142, "8983098864555359": 142, "8983352780342102": 142, "8983421921730042": 142, "898346483707428": 142, "8983476758003235": 142, "8983704447746277": 142, "898411214351654": 142, "8984392285346985": 142, "8984412550926208": 142, "8984581828117371": 142, "8984645009040833": 142, "898466110229492": 142, "898468017578125": 142, "8984965682029724": 142, "8985008597373962": 142, "8985082507133484": 142, "8985349535942078": 142, "8985622525215149": 142, "89857292175293": 142, "8985792994499207": 142, "8985909819602966": 142, "8986123204231262": 142, "8986188769340515": 142, "898648202419281": 142, "8986552357673645": 142, "898677408695221": 142, "8986894488334656": 142, "8986968994140625": 142, "898698806762695": 142, "89870262145996": 142, "8987125754356384": 142, "898724377155304": 142, "898753821849823": 142, "898754119873047": 142, "8987744450569153": 142, "8987825512886047": 142, "8987833857536316": 142, "8987863659858704": 142, "8987872004508972": 142, "8987893462181091": 142, "8988057971000671": 142, "8988205790519714": 142, "8988208174705505": 142, "898826599121094": 142, "8988426327705383": 142, "8988533616065979": 142, "8988825678825378": 142, "8989070057868958": 142, "8989128470420837": 142, "8989200592041": 142, "898927688598633": 142, "8989331126213074": 142, "898933470249176": 142, "8989359736442566": 142, "8989508748054504": 142, "8989512324333191": 142, "8989550471305847": 142, "8989589810371399": 142, "8989593386650085": 142, "8989726901054382": 142, "89897346496582": 142, "8989772200584412": 142, "899": 142, "8990002274513245": 142, "8990125060081482": 142, "8990163207054138": 142, "8990405201911926": 142, "8990470767021179": 142, "8990494608879089": 142, "89910888671875": 142, "899150550365448": 142, "8991621136665344": 142, "8991637825965881": 142, "899173736572266": 142, "89919662475586": 142, "899206161499023": 142, "8992324471473694": 142, "8992626070976257": 142, "8992765545845032": 142, "8992980122566223": 142, "8993": 147, "899304211139679": 142, "899343490600586": 142, "8993789553642273": 142, "8994148373603821": 142, "8994234204292297": 142, "8994293808937073": 142, "8994317650794983": 142, "899438858032227": 142, "899457931518555": 142, "899505078792572": 142, "8995385766029358": 142, "8995539546012878": 142, "899592936038971": 142, "8996105790138245": 142, "8996303677558899": 142, "89966583251953": 142, "8996668457984924": 142, "8996886610984802": 142, "8997336030006409": 142, "899743556976318": 142, "8997467160224915": 142, "8997631669044495": 142, "899764358997345": 142, "8997945189476013": 142, "8997969031333923": 142, "8998209834098816": 142, "899839401245117": 142, "899845123291016": 142, "8998526930809021": 142, "8998791575431824": 142, "899886429309845": 142, "8998948931694031": 142, "8999080657959": 142, "8999268412590027": 142, "899930000305176": 142, "899965226650238": 142, "8999699950218201": 142, "8999819159507751": 142, "89e": 147, "89it": 147, "89m": 134, "8bff6bf3e10cc84acc4a283a375fcc23": 129, "8cfbb67beb312b98c40fcb891dfa480a": 129, "8d48": 134, "8ee1066149c305d7c17c219b369c5a73": 129, "8f12": 142, "8g": 129, "8hr": 141, "8it": 134, "9": [66, 79, 94, 99, 129, 132, 133, 134, 135, 138, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "90": [36, 38, 51, 52, 101, 103, 134, 139, 142, 147, 149], "900": [134, 142], "900023877620697": 142, "900029718875885": 142, "900047302246094": 142, "900053024291992": 142, "9000632166862488": 142, "9000669121742249": 142, "900094985961914": 142, "9001030921936035": 142, "900108337402344": 142, "9001154899597168": 142, "9001346230506897": 142, "9001420140266418": 142, "9001514315605164": 142, "9001994729042053": 142, "9002147316932678": 142, "9002602696418762": 142, "9002697467803955": 142, "9002841114997864": 142, "9003096222877502": 142, "900327682495117": 142, "9003520607948303": 142, "900354385375977": 142, "900367796421051": 142, "900371074676514": 142, "9004043936729431": 142, "900407314300537": 142, "9004124999046326": 142, "9004331231117249": 142, "9004582762718201": 142, "9004634022712708": 142, "90047687292099": 142, "9004773497581482": 142, "9005017876625061": 142, "900508880615234": 142, "900509774684906": 142, "9005327820777893": 142, "9005341529846191": 142, "9005380272865295": 142, "900545060634613": 142, "9005590081214905": 142, "9005668759346008": 142, "9005782008171082": 142, "9005804657936096": 142, "9005904793739319": 142, "9006080031394958": 142, "900632917881012": 142, "9006536602973938": 142, "9006684422492981": 142, "9006699919700623": 142, "9006732106208801": 142, "9007": 142, "9007092118263245": 142, "9007099270820618": 142, "900712966918945": 142, "900716245174408": 142, "9007317423820496": 142, "90073585510254": 142, "9007739424705505": 142, "9007856249809265": 142, "9007918238639832": 142, "9008": 142, "9008315205574036": 142, "9008557200431824": 142, "9008616805076599": 142, "900870144367218": 142, "9008776545524597": 142, "9008863568305969": 142, "900888442993164": 142, "9008918404579163": 142, "9009090065956116": 142, "9009132981300354": 142, "90091472864151": 142, "9009270668029785": 142, "9009442925453186": 142, "9009515643119812": 142, "900961697101593": 142, "900974452495575": 142, "9009982943534851": 142, "9010": 142, "9010102152824402": 142, "9010140299797058": 142, "9010718464851379": 142, "9010784029960632": 142, "901090621948242": 142, "901096761226654": 142, "9011086821556091": 142, "9011253714561462": 142, "9011532664299011": 142, "9011804461479187": 142, "901201248168945": 142, "901232898235321": 142, "9012433886528015": 142, "9012525677680969": 142, "9012976288795471": 142, "9013158679008484": 142, "9013221263885498": 142, "901355743408203": 142, "9013908505439758": 142, "90139240026474": 142, "9013984799385071": 142, "9014152884483337": 142, "901430130004883": 142, "90143346786499": 142, "9014378190040588": 142, "9014540314674377": 142, "9014620184898376": 142, "9014659523963928": 142, "90146827697754": 142, "9014706015586853": 142, "901472270488739": 142, "90147465467453": 142, "901478111743927": 142, "9014796614646912": 142, "901502788066864": 142, "9015142321586609": 142, "9015989899635315": 142, "90162593126297": 142, "9016371369361877": 142, "9016373753547668": 142, "901652991771698": 142, "9016655087471008": 142, "9016930460929871": 142, "9017770886421204": 142, "9017903208732605": 142, "9017922282218933": 142, "901819229125977": 142, "9018226265907288": 142, "9018730521202087": 142, "9018792510032654": 142, "9019096493721008": 142, "9019380211830139": 142, "901947": 147, "90195655822754": 142, "9019837975502014": 142, "9019894003868103": 142, "902000427246094": 142, "9020044207572937": 142, "902007520198822": 142, "902067244052887": 142, "902080535888672": 142, "902100145816803": 142, "9021127820014954": 142, "9021239876747131": 142, "9021375775337219": 142, "9021397233009338": 142, "9021444916725159": 142, "902160108089447": 142, "9021709561347961": 142, "902185440063477": 142, "902199745178223": 142, "902257919311523": 142, "9022838473320007": 142, "90228670835495": 142, "9023": 142, "9023030400276184": 142, "9023157954216003": 142, "902326583862305": 142, "902359008789062": 142, "9023705124855042": 142, "9023775458335876": 142, "90239715576172": 142, "9023986458778381": 142, "902428925037384": 142, "9024410843849182": 142, "9024527668952942": 142, "9024540781974792": 142, "902492105960846": 142, "9025": [142, 154], "9025062918663025": 142, "9025236964225769": 142, "9025645852088928": 142, "902565002441406": 142, "9025654196739197": 142, "9025928974151611": 142, "9025936126709": 142, "9026071429252625": 142, "9026183485984802": 142, "90262222290039": 142, "9026294350624084": 142, "902687072753906": 142, "9027": 142, "9027002453804016": 142, "9027380347251892": 142, "9027456641197205": 142, "9027584195137024": 142, "9027726054191589": 142, "902772843837738": 142, "9028112292289734": 142, "902833878993988": 142, "9028447270393372": 142, "902865469455719": 142, "9028728604316711": 142, "90288734436035": 142, "9029": 142, "902925431728363": 142, "9029282927513123": 142, "9029838442802429": 142, "9029951691627502": 142, "902kb": 134, "903": 142, "903001606464386": 142, "9030244946479797": 142, "90308380126953": 142, "9030916094779968": 142, "9031075835227966": 142, "9031087756156921": 142, "9031088948249817": 142, "9031098484992981": 142, "903112411499023": 142, "9031162858009338": 142, "9031237959861755": 142, "9031664729118347": 142, "9031707644462585": 142, "9031731486320496": 142, "9031765460968018": 142, "9031767249107361": 142, "9031991362571716": 142, "9032158255577087": 142, "903298377990723": 142, "9033164381980896": 142, "9033189415931702": 142, "9033252596855164": 142, "9033579230308533": 142, "9033668637275696": 142, "9033958315849304": 142, "9034051299095154": 142, "903412401676178": 142, "9034510254859924": 142, "9034664034843445": 142, "903479278087616": 142, "9034846425056458": 142, "9034877419471741": 142, "9034942984580994": 142, "9035044312477112": 142, "903558075428009": 142, "9035599827766418": 142, "9036102890968323": 142, "903620183467865": 142, "9036282896995544": 142, "903640747070312": 142, "9036456942558289": 142, "9036782383918762": 142, "903690338134766": 142, "9036919474601746": 142, "9037054181098938": 142, "9037298560142517": 142, "9037510752677917": 142, "9037519097328186": 142, "9037677645683289": 142, "9037780165672302": 142, "9037806391716003": 142, "9038011431694031": 142, "9038069844245911": 142, "9038183093070984": 142, "9038305878639221": 142, "9038563370704651": 142, "9038969874382019": 142, "9039036631584167": 142, "9039067625999451": 142, "9039179682731628": 142, "9039456248283386": 142, "903947353363037": 142, "9039568305015564": 142, "9039976000785828": 142, "9040": 142, "90401840209961": 142, "9040595889091492": 142, "9040917754173279": 142, "9041356444358826": 142, "9041399359703064": 142, "9041498303413391": 142, "9041697382926941": 142, "9041735529899597": 142, "9041984677314758": 142, "904205322265625": 142, "9042064547538757": 142, "9042511582374573": 142, "9042602181434631": 142, "9042970538139343": 142, "9043036103248596": 142, "9043166041374207": 142, "9043839573860168": 142, "9043988585472107": 142, "9044237732887268": 142, "9044354557991028": 142, "9044799208641052": 142, "9044854640960693": 142, "9044975638389587": 142, "9045540690422058": 142, "9046007990837097": 142, "9046126008033752": 142, "9046189188957214": 142, "9046514630317688": 142, "9046569466590881": 142, "9046593308448792": 142, "9046782851219177": 142, "9047772288322449": 142, "9047794342041": 142, "9047927260398865": 142, "9048100113868713": 142, "9048498272895813": 142, "9048698544502258": 142, "9049219489097595": 142, "9049376845359802": 142, "90497589111328": 142, "9049937725067139": 142, "9050289988517761": 142, "905086517333984": 142, "9050917625427246": 142, "9051076769828796": 142, "9051706194877625": 142, "905186116695404": 142, "9052190184593201": 142, "905246913433075": 142, "9052665829658508": 142, "9052667021751404": 142, "9052709937095642": 142, "9053660035133362": 142, "90542221069336": 142, "905436098575592": 142, "9054487347602844": 142, "9054502844810486": 142, "9054651856422424": 142, "9054703116416931": 142, "905506134033203": 142, "905542373657227": 142, "905555725097656": 142, "905565": 142, "90557098388672": 142, "9055898785591125": 142, "9056938290596008": 142, "9057125449180603": 142, "9057182669639587": 142, "9057465195655823": 142, "9057485461235046": 142, "905797958374023": 142, "905818223953247": 142, "9058218598365784": 142, "905868530273438": 142, "9059067368507385": 142, "905914843082428": 142, "9059337973594666": 142, "9059523940086365": 142, "90596580505371": 142, "9059862494468689": 142, "9060": 134, "9060001969337463": 142, "9060211777687073": 142, "9060468673706055": 142, "90607452392578": 142, "9060868620872498": 142, "9061247706413269": 142, "906129777431488": 142, "9062168002128601": 142, "906244695186615": 142, "9062559008598328": 142, "9062759280204773": 142, "9063": 142, "9063486456871033": 142, "9063758254051208": 142, "9064": 153, "906407833099365": 142, "9064517617225647": 142, "9064627289772034": 142, "9065130352973938": 142, "9065226912498474": 142, "9065271019935608": 142, "906543aaefc171edab388ff4f0fe8a20": 129, "9065595269203186": 142, "9065704941749573": 142, "9065789580345154": 142, "90660160779953": 142, "9066073298454285": 142, "9066495299339294": 142, "9066632390022278": 142, "9066687226295471": 142, "906693160533905": 142, "906694412231445": 142, "9067587852478027": 142, "9067639708518982": 142, "9067701697349548": 142, "9067849516868591": 142, "9068015217781067": 142, "9068209528923035": 142, "9068490862846375": 142, "9068546295166": 142, "9068698287010193": 142, "906903": 142, "9069141745567322": 142, "9069297909736633": 142, "9069420695304871": 142, "9070360064506531": 142, "907066345214844": 142, "9070752263069153": 142, "9071": 142, "9071130156517029": 142, "9071151614189148": 142, "907139241695404": 142, "9071401953697205": 142, "907140731811523": 142, "9071834683418274": 142, "9071949124336243": 142, "9072299599647522": 142, "9072648882865906": 142, "9073163866996765": 142, "90734863e": 134, "9073511958122253": 142, "9073919653892517": 142, "9073987603187561": 142, "9074280858039856": 142, "9074285626411438": 142, "9074468612670898": 142, "9075636267662048": 142, "9075831770896912": 142, "907602310180664": 142, "9076111912727356": 142, "9076289534568787": 142, "9076662659645081": 142, "9076787829399109": 142, "907697677612305": 142, "907731831073761": 142, "9077485203742981": 142, "9078040719032288": 142, "9078447222709656": 142, "90785789489746": 142, "907863438129425": 142, "9078812003135681": 142, "9078901410102844": 142, "9078940749168396": 142, "907895028591156": 142, "9078965783119202": 142, "9079104065895081": 142, "9079172015190125": 142, "907932460308075": 142, "9079393744468689": 142, "9079530835151672": 142, "9079793095588684": 142, "9079936146736145": 142, "90801239013672": 142, "9080449938774109": 142, "90806007385254": 142, "9080607295036316": 142, "9080643057823181": 142, "9080851674079895": 142, "9081149697303772": 142, "9081307053565979": 142, "9081316590309143": 142, "9081338047981262": 142, "9081916213035583": 142, "9082074761390686": 142, "9082127213478088": 142, "9082205891609192": 142, "9082362055778503": 142, "9082488417625427": 142, "9082582592964172": 142, "9082671999931335": 142, "9082966446876526": 142, "9083008170127869": 142, "9083248972892761": 142, "9083335995674133": 142, "9083893895149231": 142, "9084696173667908": 142, "9084730744361877": 142, "9084823727607727": 142, "9084833264350891": 142, "90849494934082": 142, "9085279107093811": 142, "9085432887077332": 142, "9085549712181091": 142, "908561646938324": 142, "9085630774497986": 142, "9086046814918518": 142, "9086244702339172": 142, "9086541533470154": 142, "9086604714393616": 142, "90871661901474": 142, "9087181687355042": 142, "9087304472923279": 142, "908741295337677": 142, "908754587173462": 142, "9087578654289246": 142, "9087609648704529": 142, "9087666869163513": 142, "908790037631988": 153, "9087936282157898": 142, "9088618159294128": 142, "9088638424873352": 142, "9089133143424988": 142, "90892791748047": 142, "908946692943573": 142, "9089692234992981": 142, "9089851975440979": 142, "9089929461479187": 142, "909": 142, "9090048670768738": 142, "9090132117271423": 142, "9090448021888733": 142, "909048080444336": 142, "9090674519538879": 142, "9090736508369446": 142, "9090750813484192": 142, "9090991616249084": 142, "909101486206055": 142, "9091535210609436": 142, "9091833233833313": 142, "9091841578483582": 142, "9092015624046326": 142, "9092393517494202": 142, "909270763397217": 142, "9092760682106018": 142, "9092810750007629": 142, "9092894196510315": 142, "9093340039253235": 142, "90933609008789": 142, "909346342086792": 142, "909354031085968": 142, "9093956351280212": 142, "9093967080116272": 142, "9093990921974182": 142, "9094238877296448": 142, "9094268679618835": 142, "9094364047050476": 142, "90944904088974": 142, "9094610810279846": 142, "909480631351471": 142, "909486770629883": 142, "9095001816749573": 142, "9095038771629333": 142, "9095502495765686": 142, "9095703959465027": 142, "9095949530601501": 142, "9096085429191589": 142, "909637987613678": 142, "9096526503562927": 142, "909663438796997": 142, "909685134887695": 142, "9097": 147, "9097152352333069": 142, "9097166657447815": 142, "909731924533844": 142, "909753143787384": 142, "909794270992279": 142, "909802": 142, "9098076224327087": 142, "909835815429688": 142, "9098420739173889": 142, "909852921962738": 142, "9099099040031433": 142, "9099195599555969": 142, "9099234938621521": 142, "909944474697113": 142, "9099474549293518": 142, "9099492430686951": 142, "9099614024162292": 142, "909980833530426": 142, "90e": 147, "90it": 147, "90m": 134, "90x": [144, 153], "91": [134, 139, 142, 145, 147, 149, 151], "910": 142, "9100072979927063": 142, "9100434184074402": 142, "9100560545921326": 142, "9100785851478577": 142, "9100891947746277": 142, "9101327061653137": 142, "9101407527923584": 142, "9101478457450867": 142, "9101690649986267": 142, "9101718068122864": 142, "9101837277412415": 142, "910193920135498": 142, "910194396972656": 142, "9101994037628174": 142, "91020393371582": 142, "9102205634117126": 142, "9102900624275208": 142, "9102904200553894": 142, "9102997183799744": 142, "9102e": 147, "9103010296821594": 142, "9103025794029236": 142, "9103071093559265": 142, "910376250743866": 142, "9103824496269226": 142, "9103878140449524": 142, "910439968109131": 142, "910457193851471": 142, "9104593396186829": 142, "9104600548744202": 142, "91046905517578": 142, "9104817509651184": 142, "9105036854743958": 142, "9105051159858704": 142, "9105271697044373": 142, "9105542302131653": 142, "9105938076972961": 142, "9105972647666931": 142, "9106115698814392": 142, "9106391072273254": 142, "9106552004814148": 142, "9106737971305847": 142, "9106903672218323": 142, "91069984436035": 142, "9107607007026672": 142, "9107665419578552": 142, "91077995300293": 142, "9108039736747742": 142, "9108045697212219": 142, "910810649394989": 142, "9108222126960754": 142, "9108532071113586": 142, "9108741879463196": 142, "9108805060386658": 142, "9108948111534119": 142, "9108951687812805": 142, "9109006524085999": 142, "9109160900115967": 142, "910916268825531": 142, "910923421382904": 142, "9109329581260681": 142, "9109484553337097": 142, "9109639525413513": 142, "910968": 142, "9109681248664856": 142, "9109712243080139": 142, "9109936356544495": 142, "9109945893287659": 142, "9110011458396912": 142, "9110597968101501": 142, "9110810160636902": 142, "9110836386680603": 142, "9110949635505676": 142, "9111365675926208": 142, "9111426472663879": 142, "911162793636322": 142, "9111672043800354": 142, "9111806750297546": 142, "9111842513084412": 142, "9111897349357605": 142, "9112101197242737": 142, "9112553000450134": 142, "911267101764679": 142, "9112765192985535": 142, "9112797379493713": 142, "9112983345985413": 142, "9113083481788635": 142, "9113157391548157": 142, "9113821387290955": 142, "9113826751709": 142, "9114685654640198": 142, "9114708304405212": 142, "911523818969727": 142, "9115423560142517": 142, "9115500450134277": 142, "9115685820579529": 142, "9116092324256897": 142, "9116143584251404": 142, "9116148352622986": 142, "9116384387016296": 142, "9116458296775818": 142, "9116581082344055": 142, "911733627319336": 142, "911756694316864": 142, "911787033081055": 142, "9117979407310486": 142, "9118393063545227": 142, "9119122624397278": 142, "9119492173194885": 142, "9119580388069153": 142, "91196060180664": 142, "9119810461997986": 142, "912": [132, 157], "9120143055915833": 142, "9120444655418396": 142, "9120724201202393": 142, "9121218323707581": 142, "9121242165565491": 142, "9121858477592468": 142, "9121993184089661": 142, "9122": 142, "9122183918952942": 142, "9122764468193054": 142, "9122869372367859": 142, "912325918674469": 142, "9123501181602478": 142, "912364661693573": 142, "912378311157227": 142, "9124080538749695": 142, "912418": 142, "9124200940132141": 142, "912440": 142, "9124830365180969": 142, "912510097026825": 142, "9125266671180725": 142, "9126229286193848": 142, "912623643875122": 142, "9126647114753723": 142, "9126924872398376": 142, "9127021431922913": 142, "91276615858078": 142, "91276645": 151, "912814199924469": 142, "912820041179657": 142, "912921905517578": 142, "9129508137702942": 142, "912959635257721": 142, "912980854511261": 142, "9129964709281921": 142, "913": 142, "9130": 142, "9130097031593323": 142, "9130401611328125": 142, "913064479827881": 142, "9130780100822449": 142, "9130795001983643": 142, "9130989909172058": 142, "9130995869636536": 142, "9131143689155579": 142, "913145124912262": 142, "9132": 142, "9132351279258728": 142, "913236618041992": 142, "913266122341156": 142, "9132967591285706": 142, "9133146405220032": 142, "9133331179618835": 142, "913349628448486": 142, "913366973400116": 142, "9133703112602234": 142, "9133798480033875": 142, "913384735584259": 142, "9133937954902649": 142, "91342544555664": 142, "9134432673454285": 142, "9134463667869568": 142, "9134925007820129": 142, "91360855102539": 142, "913614809513092": 142, "9136469960212708": 142, "9137110114097595": 142, "9137230515480042": 142, "9137315154075623": 142, "9137780070304871": 142, "9138083457946777": 142, "9138153195381165": 142, "9138441681861877": 142, "913849353790283": 142, "9138839840888977": 142, "9139271378517151": 142, "913938522338867": 142, "913952648639679": 142, "9139677882194519": 142, "9139766097068787": 142, "9139975905418396": 142, "914032518863678": 142, "9140554070472717": 142, "9141528010368347": 142, "914162814617157": 142, "9141756892204285": 142, "9142456650733948": 142, "9142553210258484": 142, "9143090844154358": 142, "9143226742744446": 142, "9143325686454773": 142, "9143553376197815": 142, "914411544799805": 142, "9144136309623718": 142, "9144179821014404": 142, "914459764957428": 142, "9144802689552307": 142, "9144898056983948": 142, "914498329162598": 142, "9145": 142, "9145600199699402": 142, "9145656228065491": 142, "914609909057617": 142, "91461753845215": 142, "914622962474823": 142, "9146597981452942": 142, "9146718382835388": 142, "9146812558174133": 142, "9146818518638611": 142, "9147208333015442": 142, "9147266745567322": 142, "9147332310676575": 142, "9147797226905823": 142, "9147850871086121": 142, "9148191809654236": 142, "914842426776886": 142, "9148553013801575": 142, "9148853421211243": 142, "9149126410484314": 142, "9149361252784729": 142, "9149392247200012": 142, "9149670004844666": 142, "91498327255249": 142, "914kb": 134, "915": 142, "915010452270508": 142, "9150120615959167": 142, "9150333404541": 142, "9150621294975281": 142, "9150648713111877": 142, "9150826334953308": 142, "915086567401886": 142, "9150927662849426": 142, "91510009765625": 142, "9151039719581604": 142, "9151114821434021": 142, "9151232838630676": 142, "9151431918144226": 142, "9151659607887268": 142, "9151768088340759": 142, "9151901602745056": 142, "9151917099952698": 142, "9152176976203918": 142, "9152513146400452": 142, "915290892124176": 142, "915294647216797": 142, "9153407216072083": 142, "9153416752815247": 142, "915344774723053": 142, "9153680205345154": 142, "9153887629508972": 142, "9153994917869568": 142, "9154201149940491": 142, "9154724478721619": 142, "9154741168022156": 142, "9154772162437439": 142, "915504455566406": 142, "915515899658203": 142, "9155226349830627": 142, "9155319333076477": 142, "9155364632606506": 142, "9156245589256287": 142, "9157066941261292": 142, "9157261252403259": 142, "9157412648200989": 142, "915788650512695": 142, "9158232808113098": 142, "9158313870429993": 142, "9158650040626526": 142, "9159348607063293": 142, "91594696044922": 142, "9159495830535889": 142, "9159697890281677": 142, "9160107970237732": 142, "9160434603691101": 142, "9160528779029846": 142, "9161": 154, "9161093831062317": 142, "9161219000816345": 142, "916166305541992": 142, "916182816028595": 142, "9162026047706604": 142, "9162428975105286": 142, "916297912597656": 142, "9163549542427063": 142, "91636085510254": 142, "9163720011711121": 142, "9163833260536194": 142, "9163852334022522": 142, "9163928627967834": 142, "9164155125617981": 142, "9164208769798279": 142, "9164794087409973": 142, "9164902567863464": 142, "9164969325065613": 142, "9165": 147, "9165129065513611": 142, "9165177941322327": 142, "916566848754883": 142, "9165934920310974": 142, "9166": 147, "9166132807731628": 142, "916622161865234": 142, "9166987538337708": 142, "9167": 154, "9167025685310364": 142, "9167346358299255": 142, "9167426228523254": 142, "9168772101402283": 142, "91693687438965": 142, "9169406294822693": 142, "9169970154762268": 142, "916kb": 134, "917001724243164": 142, "9170222878456116": 142, "917036056518555": 142, "9170765280723572": 142, "9170816540718079": 142, "917086660861969": 142, "9171085953712463": 142, "9171302914619446": 142, "9171594977378845": 142, "917164146900177": 142, "9173042178153992": 142, "917343": 142, "9173436760902405": 142, "9173574447631836": 142, "9173653721809387": 142, "9174086451530457": 142, "917430579662323": 142, "9174518585205078": 142, "917455673217773": 142, "9175629019737244": 142, "9176439642906189": 142, "9176772236824036": 142, "9177": 142, "9177222847938538": 142, "9177286028862": 142, "9177678227424622": 142, "917769730091095": 142, "91777229309082": 142, "9177771210670471": 142, "9177774786949158": 142, "9178056716918945": 142, "9178088307380676": 142, "917891800403595": 142, "91798973083496": 142, "9179906845092773": 142, "9180462956428528": 142, "9180551171302795": 142, "9180791974067688": 142, "9180923104286194": 142, "9181047081947327": 142, "9181258082389832": 142, "9181273579597473": 142, "91817283630371": 142, "9181891083717346": 142, "918289184570312": 142, "9184228777885437": 142, "9184263348579407": 142, "9184474349021912": 142, "9185337424278259": 142, "9185641407966614": 142, "918630063533783": 142, "9186318516731262": 142, "9186452031135559": 142, "9187045097351074": 142, "918745219707489": 142, "9187975525856018": 142, "918830931186676": 142, "9188461899757385": 142, "9188498854637146": 142, "91887092590332": 142, "918871126704698": 142, "9189627766609192": 142, "918b20960438494ab160a9dbd9668157": 129, "9190265536308289": 142, "9190559983253479": 142, "919065475463867": 142, "9190682768821716": 142, "9191491007804871": 142, "9191846251487732": 142, "9191951155662537": 142, "919219970703125": 142, "9192569255828857": 142, "9192790389060974": 142, "9193055033683777": 142, "9193198084831238": 142, "919368743896484": 142, "919431686401367": 142, "9194468855857849": 142, "9194620251655579": 142, "9194671511650085": 142, "919490814208984": 142, "919508159160614": 142, "919553756713867": 142, "9195614457130432": 142, "919604480266571": 142, "9196785092353821": 142, "9196850657463074": 142, "919703483581543": 142, "9197238087654114": 142, "9197662472724915": 142, "919780731201172": 142, "9198": 142, "9198217391967773": 142, "91988182067871": 142, "919885635375977": 142, "919914": 142, "9199900031089783": 142, "91e": 147, "91m": 134, "91mb": 134, "92": [134, 147, 149], "920": 147, "9200044274330139": 142, "9200118184089661": 142, "9200223088264465": 142, "9200388789176941": 142, "9200407862663269": 142, "9201": 142, "92010498046875": 142, "92011833190918": 142, "920120239257812": 142, "92015266418457": 142, "92019999999996": 132, "9202110171318054": 142, "9202155470848083": 142, "9202243685722351": 142, "9202257990837097": 142, "920284271240234": 142, "9202e": 147, "92031478881836": 142, "9203220009803772": 142, "920332431793213": 142, "9204058051109314": 142, "920415461063385": 142, "9204209446907043": 142, "920475006103516": 142, "9204885363578796": 142, "920522153377533": 142, "9205591082572937": 142, "920568466186523": 142, "920573890209198": 142, "9205772280693054": 142, "92058926820755": 142, "920635998249054": 142, "9206451773643494": 142, "920719146728516": 142, "9207457900047302": 142, "920746088027954": 142, "920804977416992": 142, "920841217041016": 142, "9208553433418274": 142, "9208582043647766": 142, "9208899140357971": 142, "920896530151367": 142, "9209008812904358": 142, "9209210276603699": 142, "9209449887275696": 142, "9209575057029724": 142, "9209993481636047": 142, "921": 142, "92102813720703": 142, "9210289120674133": 142, "9210649132728577": 142, "9210683703422546": 142, "9210702776908875": 142, "9210819602012634": 142, "9211": 147, "9211308360099792": 142, "92116355895996": 142, "9211657643318176": 142, "9211754202842712": 142, "9212018847465515": 142, "921230792999268": 142, "9212673306465149": 142, "921315610408783": 142, "9214152693748474": 142, "921420156955719": 142, "921425998210907": 142, "9214298725128174": 142, "9215145707130432": 142, "9215268492698669": 142, "9215540885925293": 142, "921592712402344": 142, "9216319918632507": 142, "9216874241828918": 142, "9218025207519531": 142, "9218209385871887": 142, "9218434691429138": 142, "9218958020210266": 142, "9219599366188049": 142, "921968460083008": 142, "9219967722892761": 142, "922": 142, "9220010638237": 142, "9220250248908997": 142, "9220497012138367": 142, "9220632910728455": 142, "92207145690918": 142, "922073364257812": 142, "922090530395508": 142, "9221579432487488": 142, "9221987128257751": 142, "9222627282142639": 142, "9223": 142, "92230796813965": 142, "9223354458808899": 142, "922372817993164": 142, "9224384427070618": 142, "9224537014961243": 142, "9224869608879089": 142, "9224978089332581": 142, "9225": 142, "922542572021484": 142, "9225823283195496": 142, "9226321578025818": 142, "9226437211036682": 142, "9226526618003845": 142, "9226686358451843": 142, "9227": 142, "9227592349052429": 142, "922787606716156": 142, "9228066802024841": 142, "9228125214576721": 142, "9228171706199646": 142, "9228647351264954": 142, "922896385192871": 142, "922910690307617": 142, "9229634404182434": 142, "922991": 142, "923005998134613": 142, "923030436038971": 142, "9230700135231018": 142, "9231154322624207": 142, "923144519329071": 142, "9231697916984558": 142, "9231982827186584": 142, "923213958740234": 142, "9232400059700012": 142, "9232427477836609": 142, "9232500195503235": 142, "92326545715332": 142, "9232842326164246": 142, "92329978942871": 142, "923383712768555": 142, "923397064208984": 142, "9234923720359802": 142, "923494338989258": 142, "9235113263130188": 142, "92354154586792": 142, "9235793948173523": 142, "92359161376953": 142, "92363739013672": 142, "923649251461029": 142, "9236801266670227": 142, "923768997192383": 142, "9238706231117249": 142, "92394256591797": 142, "9239451289176941": 142, "9239626526832581": 142, "9240170121192932": 142, "9240387082099915": 142, "9240618348121643": 142, "924128": 142, "924129": 142, "924130": 142, "92417973279953": 142, "9241881370544434": 142, "9242212176322937": 142, "924251556396484": 142, "92428970336914": 142, "924291610717773": 142, "9242939352989197": 142, "9243019223213196": 142, "9243178963661194": 142, "9243435263633728": 142, "9243478178977966": 142, "9243600964546204": 142, "9243684411048889": 142, "92438316345215": 142, "9244106411933899": 142, "9245662689209": 142, "9246472716331482": 142, "9246601462364197": 142, "9246721863746643": 142, "9246867299079895": 142, "924701988697052": 142, "9247161746025085": 142, "9247363209724426": 142, "92477035522461": 142, "9247916340827942": 142, "9248": 142, "924835205078125": 142, "9249": 142, "9249058365821838": 142, "92496681213379": 142, "925": 142, "9250": 144, "9250028729438782": 142, "9250553250312805": 142, "9250631928443909": 142, "9250832200050354": 142, "9251": 142, "9251229166984558": 142, "9251766800880432": 142, "9252": 142, "9252244830131531": 142, "92522621154785": 142, "9252305626869202": 142, "9252342581748962": 142, "925273895263672": 142, "925308227539062": 142, "925308883190155": 142, "925319492816925": 142, "9254": 142, "9254150390625": 142, "9254284501075745": 142, "92542964220047": 142, "9254738688468933": 142, "9255122542381287": 142, "925576210021973": 142, "9255788326263428": 142, "9255940318107605": 142, "9255955815315247": 142, "9256300926208496": 142, "925640106201172": 142, "9256649017334": 142, "9257034659385681": 142, "92573481798172": 142, "925762176513672": 142, "9257747530937195": 142, "9257819056510925": 142, "9257976412773132": 142, "9258251786231995": 142, "925836980342865": 142, "9258571267127991": 142, "925867557525635": 142, "925943374633789": 142, "9259617924690247": 142, "9259858727455139": 142, "9260": 147, "9260650277137756": 142, "9260806441307068": 142, "926123321056366": 142, "9261383414268494": 142, "9261731505393982": 142, "9261e": 147, "9262154698371887": 142, "926254272460938": 142, "9263131618499756": 142, "92633628845215": 142, "9263741374015808": 142, "9263765215873718": 142, "9264": 142, "926429748535156": 142, "9265446662902832": 142, "92659568786621": 142, "9266": 142, "9266100525856018": 142, "9266254305839539": 142, "9266538023948669": 142, "926730215549469": 142, "92673110961914": 142, "926740646362305": 142, "9267686009407043": 142, "9267790913581848": 142, "9268": 142, "9268280863761902": 142, "92685317993164": 142, "9269459843635559": 142, "9269652962684631": 142, "926973342895508": 142, "927": 142, "9270": 142, "9270172119140625": 142, "9270387291908264": 142, "927061080932617": 142, "927093505859375": 142, "9271048903465271": 142, "927108764648438": 142, "9271147847175598": 142, "9271611571311951": 142, "9271841645240784": 142, "9272": 142, "9272518157959": 142, "92728614807129": 142, "9272865653038025": 142, "9273": 142, "9273557066917419": 142, "9274": 142, "9274082779884338": 142, "9275556206703186": 142, "92760467529297": 142, "9276111721992493": 142, "9276120066642761": 142, "927665710449219": 142, "9277046322822571": 142, "9277123808860779": 142, "9278015494346619": 142, "9278447031974792": 142, "92786407470703": 142, "9278993010520935": 142, "9279130101203918": 142, "9279463887214661": 142, "92796516418457": 142, "9279804825782776": 142, "9279883503913879": 142, "928": 147, "9280015826225281": 142, "92801433801651": 142, "9280923008918762": 142, "9281138777732849": 142, "928135335445404": 142, "9281594157218933": 142, "9282259941101074": 142, "9282415509223938": 142, "9282613396644592": 142, "928325653076172": 142, "928371906280518": 142, "9283738732337952": 142, "9284107089042664": 142, "9284185767173767": 142, "9284549355506897": 142, "9284793734550476": 142, "9284988045692444": 142, "9285213351249695": 142, "9286314845085144": 142, "928646087646484": 142, "9286655783653259": 142, "9286825060844421": 142, "928751528263092": 142, "928756713867188": 142, "9287657141685486": 142, "9287760853767395": 142, "9287819266319275": 142, "9288416504859924": 142, "92885398864746": 142, "9288908839225769": 142, "9289": 142, "9289231896400452": 142, "9289385676383972": 142, "9289832711219788": 142, "929": [134, 142], "9290542006492615": 142, "929074764251709": 142, "9291080832481384": 142, "9291461110115051": 142, "9291648268699646": 142, "9291686415672302": 142, "9292075037956238": 142, "9292147755622864": 142, "929215669631958": 142, "929243087768555": 142, "9292989373207092": 142, "9293085932731628": 142, "929330825805664": 142, "9293959736824036": 142, "9295": 142, "9295030236244202": 142, "92953634262085": 142, "9295393824577332": 142, "9296160340309143": 142, "9296353459358215": 142, "92969512939453": 142, "9297031760215759": 142, "9297733902931213": 142, "9297759532928467": 142, "92978286743164": 142, "9298122525215149": 142, "929828643798828": 142, "9298366904258728": 142, "9299473166465759": 142, "9299851059913635": 142, "92e": 147, "92it": [134, 147], "92m": 134, "93": [24, 134, 142, 147, 149], "930": [142, 147], "9300052523612976": 142, "9300512671470642": 142, "9300594329834": 142, "93008041381836": 142, "9301454424858093": 142, "930149257183075": 142, "930280685424805": 142, "930280864238739": 142, "9303475022315979": 142, "9303502440452576": 142, "9303656220436096": 142, "930370330810547": 142, "9303784966468811": 142, "9304812550544739": 142, "9304837584495544": 142, "9305": 142, "9305444359779358": 142, "930564880371094": 142, "9306": 142, "9307087063789368": 142, "9307708144187927": 142, "930830001831055": 142, "930843353271484": 142, "9308478236198425": 142, "9308691024780273": 142, "9308832287788391": 142, "9308920502662659": 142, "9308936595916748": 142, "9309038519859314": 142, "9309642910957336": 142, "930kb": 134, "9310449957847595": 142, "9310609698295593": 142, "931110382080078": 142, "93112559": 151, "9311384558677673": 142, "9311491847038269": 142, "9311651587486267": 142, "9312725067138672": 142, "9312737584114075": 142, "9313371777534485": 142, "9313564896583557": 142, "931390106678009": 142, "9314281344413757": 142, "93143081665039": 142, "9314863085746765": 142, "9315592646598816": 142, "93158531188965": 142, "9316170811653137": 142, "9316738247871399": 142, "931692123413086": 142, "9317029118537903": 142, "9317408204078674": 142, "9318634867668152": 142, "9318838715553284": 142, "931884765625": 142, "9319022297859192": 142, "9319379925727844": 142, "931941986083984": 142, "9319519400596619": 142, "932": 142, "9320259690284729": 142, "932159423828125": 142, "9321622252464294": 142, "9322": 147, "9322064518928528": 142, "9322182536125183": 142, "9322277903556824": 142, "9322595000267029": 142, "93234252929688": 147, "9323464035987854": 142, "9323894381523132": 142, "9324448704719543": 142, "9325": 142, "9325159192085266": 142, "9326202273368835": 142, "9326218962669373": 142, "9327176213264465": 142, "932739794254303": 142, "9327539801597595": 142, "9327828288078308": 142, "932876586914062": 142, "9328921437263489": 142, "9329027533531189": 142, "932913601398468": 142, "932942867279053": 142, "93299674987793": 142, "933": 142, "9330": 142, "9330064654350281": 142, "9330138564109802": 142, "9330241084098816": 142, "9330862164497375": 142, "9330942034721375": 142, "9331308007240295": 142, "9331339001655579": 142, "9333156943321228": 142, "9333546757698059": 142, "933372497558594": 142, "9334267973899841": 142, "9334385991096497": 142, "9335": 147, "9335126876831055": 142, "933523952960968": 142, "9335368275642395": 142, "9335433840751648": 142, "9335771203041077": 142, "93364143371582": 142, "9336419701576233": 142, "9337249398231506": 142, "933734893798828": 142, "9337576031684875": 142, "9337863326072693": 142, "9338767528533936": 142, "9338980317115784": 142, "9339": 142, "9339113235473633": 142, "9339177012443542": 142, "933920860290527": 142, "9339520335197449": 142, "9339624047279358": 142, "934003829956055": 142, "934084951877594": 142, "934092": 142, "9340924620628357": 142, "9341190457344055": 142, "934132993221283": 142, "934162139892578": 142, "9342681765556335": 142, "9343077540397644": 142, "9343112111091614": 142, "9343301653862": 142, "9343810677528381": 142, "9344235062599182": 142, "9344394207000732": 142, "93461799621582": 142, "9346548914909363": 142, "9346594214439392": 142, "9347053170204163": 142, "9347448945045471": 142, "9347808361053467": 142, "93478775024414": 142, "9348132014274597": 142, "9348223805427551": 142, "93486213684082": 142, "9348896145820618": 142, "93490982055664": 142, "9349189400672913": 142, "9349904656410217": 142, "935": 147, "9350059628486633": 142, "9350540041923523": 142, "935075581073761": 142, "9350959658622742": 142, "9350982308387756": 142, "935103714466095": 142, "9351316094398499": 142, "935152053833008": 142, "9351944327354431": 142, "93522709608078": 142, "935234010219574": 142, "9353638291358948": 142, "9354": 154, "9354068636894226": 142, "935407638549805": 142, "93541145324707": 142, "93547123670578": 142, "9354713559150696": 142, "9354919791221619": 142, "9355511665344238": 142, "9357277750968933": 142, "9357475638389587": 142, "9358044266700745": 142, "935819625854492": 142, "9358329176902771": 142, "9358420968055725": 142, "9358580708503723": 142, "9358853697776794": 142, "9359225630760193": 142, "9359785914421082": 142, "9359797835350037": 142, "93597984313965": 142, "93599271774292": 142, "936": 142, "9360197186470032": 142, "93608856201172": 142, "9361256957054138": 142, "936155319213867": 142, "936208724975586": 142, "9362241625785828": 142, "9362693428993225": 142, "936275959014893": 142, "9362788796424866": 142, "9363": 147, "936344146728516": 142, "936406672000885": 142, "936439514160156": 142, "9364736676216125": 142, "93649673461914": 142, "936519622802734": 142, "9366160035133362": 142, "936628341674805": 142, "936674177646637": 142, "9366764426231384": 142, "9367882609367371": 142, "9368770718574524": 142, "936893463134766": 142, "9369011521339417": 142, "9369201064109802": 142, "9369819760322571": 142, "936993420124054": 142, "937052": 142, "9370676875114441": 142, "937114715576172": 142, "937122642993927": 142, "9371506571769714": 142, "9371517300605774": 142, "9372": [147, 149], "9372095465660095": 142, "9373076558113098": 142, "9374": 142, "9374608397483826": 142, "9374635815620422": 142, "9374943375587463": 142, "9375237822532654": 142, "937564849853516": 142, "9375895857810974": 142, "9377077221870422": 142, "9377433657646179": 142, "9378": 142, "937825620174408": 142, "9378488063812256": 142, "9378554224967957": 142, "9379": 142, "9379116892814636": 142, "9379326701164246": 142, "9379655718803406": 142, "9379670023918152": 142, "938": [134, 142], "9380220770835876": 142, "93805503845215": 142, "9380807280540466": 142, "9380896687507629": 142, "9381": 142, "9381424784660339": 142, "93814468383789": 142, "9382": 142, "9382042288780212": 142, "9382277131080627": 142, "9382347464561462": 142, "938248336315155": 142, "9382674098014832": 142, "938276290893555": 142, "9382800459861755": 142, "9383": 142, "9383196234703064": 142, "9383410811424255": 142, "9383429884910583": 142, "938344955444336": 142, "9383857846260071": 142, "9384": 142, "9384903311729431": 142, "938495635986328": 142, "9385": 142, "938511848449707": 142, "9386": 142, "9386425614356995": 142, "9386759400367737": 142, "9386916756629944": 142, "938713": 144, "938751757144928": 142, "9388086199760437": 142, "9388590455055237": 142, "938861846923828": 142, "938880920410156": 142, "938884735107422": 142, "9388980269432068": 142, "9389024376869202": 142, "93897819519043": 142, "9390372633934021": 142, "9390458464622498": 142, "9391": 142, "939114511013031": 142, "9391664862632751": 142, "9392107129096985": 142, "93923568725586": 142, "9392728209495544": 142, "93927574157715": 142, "9392964243888855": 142, "9393051266670227": 142, "9393236041069031": 142, "9393745064735413": 142, "93939208984375": 142, "93939971923828": 142, "9394070506095886": 142, "939411163330078": 142, "939465343952179": 142, "9395167231559753": 142, "9395628571510315": 142, "9396033883094788": 142, "939607620239258": 142, "939645767211914": 142, "939693033695221": 142, "9397029876709": 142, "939772605895996": 142, "9398471713066101": 142, "9398536086082458": 142, "9398687481880188": 142, "9398872256278992": 142, "9398970007896423": 142, "939899444580078": 142, "9399074912071228": 142, "9399341940879822": 142, "9399581551551819": 142, "939992904663086": 142, "93e": 147, "93it": 147, "93m": 134, "94": [134, 142, 147, 149], "9400741457939148": 142, "940105438232422": 142, "9401184916496277": 142, "9402592778205872": 142, "940275192260742": 142, "9402847290039062": 142, "940312922000885": 142, "9403201937675476": 142, "9403544068336487": 142, "940354824066162": 142, "9403708577156067": 142, "9404005408287048": 142, "940406799316406": 142, "9404532313346863": 142, "9405097961425781": 142, "9405346512794495": 142, "9405621886253357": 142, "9406641125679016": 142, "9406777024269104": 142, "9407": 142, "9407266974449158": 142, "9407519698143005": 142, "9407705664634705": 142, "9408139586448669": 142, "9408292174339294": 142, "9409101605415344": 142, "9409263134002686": 142, "9410951733589172": 142, "9411515593528748": 142, "9412898421287537": 142, "9413956999778748": 142, "9413990378379822": 142, "9414195418357849": 142, "9414739012718201": 142, "9415516257286072": 142, "9415856003761292": 142, "9415931701660156": 142, "9416202902793884": 142, "9416596293449402": 142, "9418057799339294": 142, "9419112801551819": 142, "9419196248054504": 142, "9419283270835876": 142, "9419505000114441": 142, "9419532418251038": 142, "9419875144958496": 142, "9421": 147, "9421046376228333": 142, "9421504139900208": 142, "942182540893555": 142, "9421831965446472": 142, "942197799682617": 142, "9421e": 148, "9422456622123718": 142, "9422553181648254": 142, "9422633647918701": 142, "9423373341560364": 142, "9423539042472839": 142, "9423550963401794": 142, "9423598647117615": 142, "9423887729644775": 142, "9423899054527283": 142, "94239044189453": 142, "94239616394043": 142, "9424276947975159": 142, "9424343705177307": 142, "9426180720329285": 142, "94266700744629": 142, "942726135253906": 142, "942760169506073": 142, "9427852034568787": 142, "9428027272224426": 142, "942910671234131": 142, "9429250359535217": 142, "9429355263710022": 142, "94293612241745": 142, "9429383873939514": 142, "9429994225502014": 142, "943": 142, "9430021643638611": 142, "9430567622184753": 142, "9430921673774719": 142, "9430955052375793": 142, "9430976510047913": 142, "943119049072266": 142, "9431492686271667": 142, "9432639479637146": 142, "9432671666145325": 142, "9432907700538635": 142, "943329811096191": 142, "9433810114860535": 142, "943422317504883": 142, "9434308409690857": 142, "9434854388237": 142, "9434983134269714": 142, "9435078501701355": 142, "9436095356941223": 142, "9436538815498352": 142, "9437": 142, "9437713027000427": 142, "9438765645027161": 142, "943912923336029": 142, "9439370036125183": 142, "94402503967285": 142, "9440463185310364": 142, "9440701007843018": 142, "9441068768501282": 142, "944108963012695": 142, "9441468119621277": 142, "9442476630210876": 142, "9445111155509949": 142, "9445443749427795": 142, "94463539123535": 142, "944671630859375": 142, "9447181820869446": 142, "944740295410156": 142, "944742739200592": 142, "9447923302650452": 142, "9448058009147644": 142, "9448246359825134": 142, "9448264241218567": 142, "9448323845863342": 142, "9448481202125549": 142, "94486": [64, 77, 92], "9449195265769958": 142, "944948196411133": 142, "9449781775474548": 142, "945072174072266": 142, "945077": 142, "9451041221618652": 142, "945152223110199": 142, "9451833367347717": 142, "945184": 142, "9452008605003357": 142, "9452045559883118": 142, "9452351927757263": 142, "9452391266822815": 142, "945249617099762": 142, "9453149437904358": 142, "9453300833702087": 142, "9453609585762024": 142, "9453721642494202": 142, "945553719997406": 142, "9456230998039246": 142, "9456328749656677": 142, "9457433819770813": 142, "9457664489746094": 142, "9458292126655579": 142, "9458528161048889": 142, "9458538889884949": 142, "9458683133125305": 142, "945877730846405": 142, "9458915591239929": 142, "945907115936279": 142, "9459487795829773": 142, "945kb": 134, "946": 138, "9460": 142, "9460930228233337": 142, "9461520314216614": 142, "9461604952812195": 142, "9462": 142, "94620132446289": 142, "946230947971344": 142, "9463": 142, "946311950683594": 142, "9463339447975159": 142, "946380078792572": 142, "9464028477668762": 142, "9464130997657776": 142, "94650650024414": 142, "946521759033203": 142, "9465339779853821": 142, "94654655456543": 142, "946559488773346": 142, "9465813040733337": 142, "946582794189453": 142, "946595668792725": 142, "9466122984886169": 142, "946623": 156, "9468221068382263": 142, "9468665719032288": 142, "9469289183616638": 142, "9469595551490784": 142, "947": 142, "9470053315162659": 142, "9470736384391785": 142, "9471504092216492": 142, "947175979614258": 142, "9472294449806213": 142, "947238922119141": 142, "9472512602806091": 142, "9472588896751404": 142, "9472973942756653": 142, "9473350644111633": 142, "9473544955253601": 142, "9474028944969177": 142, "9474335312843323": 142, "9474412798881531": 142, "947467803955078": 142, "947471618652344": 142, "9475314021110535": 142, "947612762451172": 142, "947731077671051": 142, "9477350115776062": 142, "9477434754371643": 142, "9477519392967224": 142, "9477673172950745": 142, "9478417038917542": 142, "9478610157966614": 142, "94786262512207": 142, "9478667378425598": 142, "9479016661643982": 142, "9479462504386902": 142, "947kb": 134, "9480864405632019": 142, "9481": 142, "9481167197227478": 142, "9481191039085388": 142, "9481753706932068": 142, "948181390762329": 142, "94819450378418": 142, "9481989741325378": 142, "948314666748047": 142, "9483158588409424": 142, "9483266472816467": 142, "9483442902565002": 142, "9483830332756042": 142, "9484090209007263": 142, "9484122395515442": 142, "94847297668457": 142, "948495864868164": 142, "9484984874725342": 142, "9485072493553162": 142, "94863748550415": 142, "948665618896484": 142, "948741912841797": 142, "9487749934196472": 142, "9487830996513367": 142, "9487897753715515": 142, "94879150390625": 142, "9487939476966858": 142, "9488111138343811": 142, "948816299438477": 142, "949": 142, "949029": 142, "9490386843681335": 142, "949069082736969": 142, "94907569885254": 142, "9490888714790344": 142, "9491488337516785": 142, "9491904377937317": 142, "9492916464805603": 142, "9492985606193542": 142, "9493229985237122": 142, "9493258595466614": 142, "94942045211792": 142, "949516236782074": 142, "94952791929245": 142, "9495498538017273": 142, "949588775634766": 142, "949626922607422": 142, "9496318697929382": 142, "9496660828590393": 142, "94966697692871": 142, "9496685862541199": 142, "9497730135917664": 142, "949779510498047": 142, "9498032927513123": 142, "9498180747032166": 142, "9498374462127686": 142, "9498578906059265": 142, "9498855471611023": 142, "9499786496162415": 142, "9499874711036682": 142, "94e": 147, "94it": [134, 147], "94m": 134, "95": [134, 138, 142, 147, 149, 156], "9500138759613037": 142, "9500663876533508": 142, "9501065611839294": 142, "950128555297852": 142, "9501768946647644": 142, "9501833319664001": 142, "9502519965171814": 142, "9502738118171692": 142, "950376510620117": 142, "950383186340332": 142, "9504076838493347": 142, "9504558444023132": 142, "9504569172859192": 142, "950471878051758": 142, "9504743218421936": 142, "9505054354667664": 142, "9505100846290588": 142, "95051383972168": 142, "95052146911621": 142, "9505252242088318": 142, "9506730437278748": 142, "9507021307945251": 142, "9507288336753845": 142, "950775682926178": 142, "9507808685302734": 142, "950838088989258": 142, "9509": 147, "9509065747261047": 142, "9509289860725403": 142, "9509300589561462": 142, "95098304748535": 142, "951": 134, "9510194659233093": 142, "951025009155273": 142, "95103645324707": 142, "951051712036133": 142, "9510847926139832": 142, "951099395751953": 142, "9511423707008362": 142, "9512044787406921": 142, "951221466064453": 142, "951233386993408": 142, "9513168334960938": 142, "9513439536094666": 142, "9513924717903137": 142, "95140838623047": 142, "951413094997406": 142, "9514188170433044": 142, "951486587524414": 142, "9515654444694519": 142, "9515709280967712": 142, "9515860676765442": 142, "9516796469688416": 142, "9517784714698792": 142, "951829731480913": 142, "9519003033638": 142, "9519035220146179": 142, "951958656311035": 142, "9519817233085632": 142, "952": 142, "9520325064659119": 142, "9520760178565979": 142, "9521188139915466": 142, "9521532654762268": 142, "952199935913086": 142, "9522035717964172": 142, "9522493481636047": 142, "9522784352302551": 142, "952291011810303": 142, "9524034857749939": 142, "9524044394493103": 142, "9525046944618225": 142, "952531814575195": 142, "952566": 142, "952621459960938": 142, "9526261687278748": 142, "9526351094245911": 142, "95265769958496": 142, "952663242816925": 142, "9526651501655579": 142, "9527001976966858": 142, "9527176022529602": 142, "952721893787384": 142, "95272445678711": 142, "9527257084846497": 142, "952726364135742": 142, "9528228640556335": 142, "9528421759605408": 142, "95284652709961": 142, "952910840511322": 142, "9529126286506653": 142, "953": 142, "953060150146484": 142, "953096330165863": 142, "9531052112579346": 142, "9531065821647644": 142, "95315933227539": 142, "9531993269920349": 142, "953290939331055": 142, "9532995820045471": 142, "9533302187919617": 142, "9533413052558899": 142, "953350067138672": 142, "95337677001953": 142, "953432023525238": 142, "9534438252449036": 142, "953445434570312": 142, "953474cb93f0b08cdc523399f03f7c36": 129, "9535523056983948": 142, "9535655379295349": 142, "953649520874023": 142, "9536753296852112": 142, "9537916779518127": 142, "9538": 142, "953852117061615": 142, "9538614153862": 142, "9539489150047302": 142, "953961193561554": 142, "9539751410484314": 142, "9540284276008606": 142, "9540329575538635": 142, "954078674316406": 142, "9540858864784241": 142, "9540982842445374": 142, "9541249871253967": 142, "9541723132133484": 142, "9542482495307922": 142, "95428866147995": 142, "9543052315711975": 142, "9543531537055969": 142, "954364776611328": 142, "9543781876564026": 142, "95439910888672": 142, "9544022679328918": 142, "954455554485321": 142, "9544983506202698": 142, "954501211643219": 142, "954622268676758": 142, "9547064900398254": 142, "95473861694336": 142, "954763412475586": 142, "954782485961914": 142, "9548": 142, "9549": [142, 147], "9549536108970642": 142, "9549612402915955": 142, "9549615979194641": 142, "9549691081047058": 142, "9549877047538757": 142, "9550": 142, "9550009369850159": 142, "9550197124481201": 142, "955020904541016": 142, "9550381302833557": 142, "9551284909248352": 142, "9551339745521545": 142, "9551489949226379": 142, "95518684387207": 142, "955286502838135": 142, "9552885890007019": 142, "9552990794181824": 142, "9553764462471008": 142, "9553806185722351": 142, "955411911010742": 142, "955419540405273": 142, "955422580242157": 142, "95543670654297": 142, "9555155634880066": 142, "9555187821388245": 142, "9556": 142, "9556512236595154": 142, "9556605815887451": 142, "955671310424805": 142, "955698013305664": 142, "955747604370117": 142, "955813884735107": 142, "9558269381523132": 142, "9558355212211609": 142, "955863893032074": 142, "955872118473053": 142, "9558820128440857": 142, "9558894038200378": 142, "9560152888298035": 142, "9560932517051697": 142, "956096": 142, "9561": 142, "9561263918876648": 142, "95617571": 151, "9562219977378845": 142, "956288754940033": 142, "956339418888092": 142, "9563402533531189": 142, "9564505219459534": 142, "956663131713867": 142, "956743240356445": 142, "9567827582359314": 142, "9567963480949402": 142, "9568096995353699": 142, "9568919539451599": 142, "9569": 142, "95690028606187": 142, "956911087036133": 142, "9569182991981506": 142, "9569271206855774": 142, "9569565653800964": 142, "956960916519165": 142, "9570": 142, "9571": 142, "95711326599121": 142, "9571284651756287": 142, "957149505615234": 142, "9571606516838074": 142, "9572258591651917": 142, "9572492241859436": 142, "9572692513465881": 142, "9572811126709": 142, "9573246836662292": 142, "957362711429596": 142, "9573996663093567": 142, "95741206407547": 142, "957417905330658": 142, "957443237304688": 142, "9574872851371765": 142, "9574996829032898": 142, "957538604736328": 142, "9575678706169128": 142, "9575e": 147, "9576": 142, "9576165080070496": 142, "9576502442359924": 142, "9577": 142, "9577013850212097": 142, "95772933959961": 142, "9577560424804688": 142, "9577587246894836": 142, "957778930664062": 142, "957799911499023": 142, "957801818847656": 142, "9579": 142, "9579179883003235": 142, "957962989807129": 142, "957974": 147, "9579761624336243": 142, "9580": 142, "9580263495445251": 142, "9580698609352112": 142, "9581299424171448": 142, "9581510424613953": 142, "958242416381836": 142, "9582650661468506": 142, "9582874178886414": 142, "9583184719085693": 142, "95840072631836": 142, "9584245085716248": 142, "9584286212921143": 142, "9585081934928894": 142, "958524703979492": 142, "9585320353507996": 142, "9585744738578796": 142, "95859146118164": 142, "9585997462272644": 142, "9586": 142, "9586164355278015": 142, "958640992641449": 142, "9586518406867981": 142, "958652913570404": 142, "9587": 142, "958715438842773": 142, "9587914347648621": 142, "958817564533092e": 142, "958833694458008": 142, "958847045898438": 142, "9588633179664612": 142, "9588952660560608": 142, "958984375": 142, "9590461850166321": 142, "9591163992881775": 142, "9591458439826965": 142, "95916175842285": 142, "9591720700263977": 142, "959247589111328": 142, "959272384643555": 142, "9592770934104919": 142, "95928955078125": 142, "9592960476875305": 142, "9592968821525574": 142, "9593037962913513": 142, "9593226909637451": 142, "9593555331230164": 142, "959388732910156": 142, "9594517350196838": 142, "9595207571983337": 142, "959613800048828": 142, "959699809551239": 142, "9597038626670837": 142, "9597133994102478": 142, "9597577452659607": 142, "95979881286621": 142, "9599571824073792": 142, "9599857926368713": 142, "95e": 147, "95it": 147, "95m": 134, "96": [134, 142, 145, 147, 149], "9600407481193542": 142, "9600598216056824": 142, "9600768685340881": 142, "9601053595542908": 142, "9601290225982666": 142, "9601565003395081": 142, "96015739440918": 142, "9601811766624451": 142, "9601836800575256": 142, "960187911987305": 142, "960201263427734": 142, "9602017998695374": 142, "9602096676826477": 142, "960243": 153, "9602463841438293": 142, "9602743983268738": 142, "9603181481361389": 142, "9603384137153625": 142, "960378646850586": 142, "96041488647461": 142, "960498809814453": 142, "96059535": 151, "9605970978736877": 142, "96060562133789": 142, "960615158081055": 142, "9606308341026306": 142, "9606522917747498": 142, "9606850743293762": 142, "9607": 147, "96073341369629": 142, "9607465863227844": 142, "9608495831489563": 142, "960908889770508": 142, "960994720458984": 142, "9609952569007874": 142, "9609e": 147, "960c2450814024b66f3c79121179ac60": 129, "961036741733551": 142, "9610424637794495": 142, "961137771606445": 142, "9611890912055969": 142, "9611983895301819": 142, "961200714111328": 142, "961224377155304": 142, "961251735687256": 142, "961292743682861": 142, "9613185524940491": 142, "961320698261261": 142, "96136474609375": 142, "961393356323242": 142, "9614200592041": 142, "9614295363426208": 142, "961435854434967": 142, "9614729285240173": 142, "9614842534065247": 142, "9614943861961365": 142, "961505889892578": 142, "9615110754966736": 142, "961565420875559e": 142, "9615731835365295": 142, "9615893959999084": 142, "9616115689277649": 142, "961630642414093": 142, "961649": 142, "961652": 142, "961653": 142, "961659": 142, "961673": 142, "961678": 142, "961682": 142, "961685": 142, "961687": 142, "961693": 142, "961697": 142, "961706": 142, "9617798924446106": 142, "961859405040741": 142, "9619078040122986": 142, "961959183216095": 142, "961970840642827": 142, "961971282958984": 142, "96202850341797": 142, "9620288014411926": 142, "962059020996094": 142, "96207618713379": 142, "9620781540870667": 142, "962100982666016": 142, "9621087908744812": 142, "9622": 142, "962215423583984": 142, "96224021911621": 142, "9622566103935242": 142, "9623402953147888": 142, "9623419642448425": 142, "962427139282227": 142, "962596893310547": 142, "9627": 147, "9627543091773987": 142, "9627603888511658": 142, "9627652168273926": 142, "962772786617279": 142, "9627845883369446": 142, "9628042578697205": 142, "9628124833106995": 142, "9628191590309143": 142, "962862014770508": 142, "9628846049308777": 142, "9629fcc6898e": 142, "9630": 142, "9630119204521179": 142, "96307945251465": 142, "963092803955078": 142, "9631077647209167": 142, "9631126523017883": 142, "9631903767585754": 142, "9632007479667664": 142, "963205337524414": 142, "9632253050804138": 142, "9633302092552185": 142, "9633564352989197": 142, "963367462158203": 142, "9633893966674805": 142, "9634": 142, "963428497314453": 142, "9634585976600647": 142, "9634893536567688": 142, "9634936451911926": 142, "9634969830513": 142, "9635": 142, "9635096192359924": 142, "9636088013648987": 142, "9636216759681702": 142, "9636277556419373": 142, "9637416005134583": 142, "9637430310249329": 142, "9637817740440369": 142, "963787078857422": 142, "96389389038086": 142, "9639071822166443": 142, "964": 142, "9640207886695862": 142, "9640515446662903": 142, "964124858379364": 142, "9641483426094055": 142, "96420669555664": 142, "9642555117607117": 142, "9642783999443054": 142, "964298248291016": 142, "964330673217773": 142, "9644226431846619": 142, "964431762695312": 142, "9644574522972107": 142, "9644735455513": 142, "9644885659217834": 142, "9645635485649109": 142, "9645652770996094": 142, "964622497558594": 142, "9646487832069397": 142, "9646591544151306": 142, "9646599888801575": 142, "964689254760742": 142, "9648943543434143": 142, "9649254679679871": 142, "9650065302848816": 142, "9650337100028992": 142, "9650890231132507": 142, "9651": 134, "965124130249023": 142, "9651349186897278": 142, "9651376605033875": 142, "9651526808738708": 142, "9651954770088196": 142, "965206146240234": 142, "965212345123291": 142, "9652156829834": 142, "965274810791016": 142, "965301513671875": 142, "9653109908103943": 142, "9653943181037903": 142, "9654324650764465": 142, "9654327034950256": 142, "9654565453529358": 142, "9654853940010071": 142, "9654884934425354": 142, "9655216336250305": 142, "9657266736030579": 142, "9657449126243591": 142, "9658061861991882": 142, "965829074382782": 142, "9658946394920349": 142, "9659110903739929": 142, "965965270996094": 142, "965kb": 134, "966": 142, "96612948179245": 142, "9661384224891663": 142, "966142654418945": 142, "9662441611289978": 142, "9662721157073975": 142, "9663153290748596": 142, "9663563370704651": 142, "9665272235870361": 142, "9665500521659851": 142, "9665506482124329": 142, "966582": 142, "9666053652763367": 142, "966623783111572": 142, "9666388630867004": 142, "9666518568992615": 142, "9666690826416": 142, "966672897338867": 142, "966717541217804": 142, "966723620891571": 142, "9667811989784241": 142, "966800": 142, "966812133789062": 142, "9668986797332764": 142, "9669637084007263": 142, "9669925570487976": 142, "967041015625": 142, "967041395223784": 142, "9670758843421936": 142, "9671186804771423": 142, "9671211838722229": 142, "9671235680580139": 142, "9671764969825745": 142, "9671817421913147": 142, "9673": 142, "967304229736328": 142, "967385470867157": 142, "9674015045166": 142, "9674494862556458": 142, "9674856066703796": 142, "9675092101097107": 142, "96754264831543": 142, "9675845503807068": 142, "9676247239112854": 142, "96766471862793": 142, "9677426218986511": 142, "9677639603614807": 142, "9678055644035339": 142, "9678540229797363": 142, "9679315686225891": 142, "9679616093635559": 142, "967978298664093": 142, "9679898619651794": 142, "9679962992668152": 142, "9680": 142, "9680961966514587": 142, "9681045413017273": 142, "968108594417572": 142, "9681236147880554": 142, "968139111995697": 142, "9681453704834": 142, "9681767821311951": 142, "9682": 142, "9683133959770203": 142, "9683385491371155": 142, "96835355": [147, 149], "96835355e": [147, 149], "9683558933957053": 148, "9683956503868103": 142, "9684": 138, "9684175848960876": 142, "9684553742408752": 142, "9684905409812927": 142, "9685178399085999": 142, "968536376953125": 142, "9686698317527771": 142, "9686880111694336": 142, "9687": 142, "968706130981445": 142, "9687307476997375": 142, "9687450528144836": 142, "9687982201576233": 142, "968879759311676": 142, "9688952565193176": 142, "96898192": 151, "9690": 142, "96906089782715": 142, "9690609574317932": 142, "969171404838562": 141, "9691982865333557": 142, "9692": 142, "9692133069038391": 142, "969283401966095": 142, "9693": 142, "9693095088005066": 142, "9693110585212708": 142, "9693906903266907": 142, "9694170355796814": 142, "9694445729255676": 142, "9695015549659729": 142, "9695302844047546": 142, "9695379137992859": 142, "9696020483970642": 142, "9696057438850403": 142, "9696558117866516": 142, "969657838344574": 142, "9698169827461243": 142, "9699360728263855": 142, "9699832797050476": 142, "9699880480766296": 142, "96e": 147, "96it": 147, "96k": 134, "96m": 134, "97": [134, 147, 149], "9701077342033386": 142, "9701467156410217": 142, "970266342163086": 142, "9702742695808411": 142, "970332682132721": 142, "9704044461250305": 142, "970413208007812": 142, "9704464077949524": 142, "970478355884552": 142, "9705333113670349": 142, "9706": 154, "9706434607505798": 142, "9707288146018982": 142, "9707950949668884": 142, "970855712890625": 142, "9708759188652039": 142, "970890462398529": 142, "97089230e": [147, 149], "9709027409553528": 142, "9709377884864807": 142, "9709393382072449": 142, "9709767699241638": 142, "9710": 142, "9710239768028259": 142, "9710293412208557": 142, "9711198210716248": 142, "9711251854896545": 142, "9711632132530212": 142, "9712": 147, "9713053107261658": 142, "971323013305664": 142, "9713501334190369": 142, "9713549017906189": 142, "9713680744171143": 142, "971397399902344": 142, "9714021682739258": 142, "9714853167533875": 142, "97151118516922": 142, "971519470214844": 142, "9715483784675598": 142, "9716097712516785": 142, "9716198444366455": 142, "9716218113899231": 142, "971661": 142, "971662": 142, "971669": 142, "971673": 142, "9716854095459": 142, "971712": 142, "971737": 142, "971738": 142, "971738874912262": 142, "971739": 142, "971751": 142, "971754": 142, "971758": 142, "9717671275138855": 142, "971779": 142, "971788": 142, "971804": 142, "971827": 142, "971836": 142, "971837": 142, "971891": 142, "9719006419181824": 142, "971909": 142, "971914": 142, "971941": 142, "971948": 142, "9719597697257996": 142, "972": 142, "9720126986503601": 142, "97203254699707": 142, "972042": 142, "972048": 142, "972069": 142, "972071": 142, "972088": 142, "9721166491508484": 142, "972119": 142, "972120": 142, "9721630215644836": 142, "972183": 142, "972187": 142, "9721998572349548": 142, "9721e": 147, "972204": 142, "972205": 142, "972209": 142, "972217": 142, "972220": 142, "972224": 142, "972228": 142, "972236": 142, "972238": 142, "972241": 142, "9722601771354675": 142, "9722654223442078": 142, "9722722172737122": 142, "972275": 142, "9722892642021179": 142, "972323": 142, "972326": 142, "972327": 142, "972328": 142, "972337": 142, "972351": 142, "972373": 142, "9723928570747375": 142, "972396": 142, "9724017977714539": 142, "9724448323249817": 142, "972488403320312": 142, "9725803732872009": 142, "9725809693336487": 142, "9726284146308899": 142, "972631": 142, "9726459383964539": 142, "9726598858833313": 142, "9726783633232117": 142, "9727309346199036": 142, "972774028778076": 142, "9727749228477478": 142, "972777": 142, "972828": 142, "972861": 142, "972866": 142, "972869": 142, "972876": 142, "972877": 142, "972879": 142, "972882": 142, "972884": 142, "972889": 142, "972895": 142, "972898": 142, "972899": 142, "972907": 142, "972914": 142, "9729184508323669": 142, "972925": 142, "9729335904121399": 142, "972935": 142, "972936630249023": 142, "972941": 142, "972957": 142, "972961": 142, "972966": 142, "972970": 142, "972981": 142, "9730363488197327": 142, "973053": 142, "973066": 142, "9730662703514099": 142, "973067": 142, "9730889201164246": 142, "973089": 142, "973092": 142, "9730984568595886": 142, "9731": 142, "973100": 142, "973111": 142, "973126": 142, "973133": 142, "973141": 142, "973142": 142, "973143": 142, "973149": 142, "973153": 142, "973166": 142, "9731664061546326": 142, "973170": 142, "973195493221283": 142, "973198": 142, "9732568860054016": 142, "9733032584190369": 142, "9733238816261292": 142, "973342": 142, "973434": 142, "973438262939453": 142, "9734545350074768": 142, "9735224843025208": 142, "9735264182090759": 142, "9735271334648132": 142, "9735633730888367": 142, "9736248850822449": 142, "9736401438713074": 142, "9736563563346863": 142, "973666": 142, "973676": 142, "97368812561035": 142, "973733127117157": 142, "9737477898597717": 142, "973769": 142, "973834": 142, "973839": 142, "9738429188728333": 142, "973904": 142, "973911702632904": 142, "973939836025238": 142, "9739739298820496": 142, "973983": 142, "9739924073219299": 142, "9740306735038757": 142, "9741194844245911": 142, "9741318821907043": 142, "9741511940956116": 142, "9741533398628235": 142, "9741958975791931": 142, "9742092490196228": 142, "9742251038551331": 142, "9742315411567688": 142, "974267": 142, "9743": 142, "974326": 142, "974335": 142, "974341": 142, "974355": 142, "974358": 142, "974370": 142, "974376": 142, "974381": 142, "974395": 142, "974411": 142, "974421": 142, "974430": 142, "974435": 142, "974437": 142, "974455": 142, "974558": 142, "974593162536621": 142, "974620": 142, "9746214747428894": 142, "974625": 142, "9746466279029846": 142, "9746778011322021": 142, "974682": 142, "974690": 142, "974713": 142, "9747238159179688": 142, "974790": 142, "974853515625": 142, "9748864769935608": 142, "9748918414115906": 142, "9748963713645935": 142, "9749078154563904": 142, "974920": 142, "974943": 142, "974951": 142, "974973": 142, "974990": 142, "9750092625617981": 142, "9750234484672546": 142, "9750593304634094": 142, "975065": 142, "975079": 142, "9750892519950867": 142, "9751058220863342": 142, "975129": 142, "975140": 142, "975144": 142, "975176": 142, "9751861691474915": 142, "975204": 142, "9752079844474792": 142, "9752195477485657": 142, "975237": 142, "975272": 142, "975275": 142, "9753174185752869": 142, "9753541946411133": 142, "975359": 142, "97537761926651": 142, "9753928780555725": 142, "975423": 142, "9754275679588318": 142, "975519": 142, "9755765795707703": 142, "9756088256835938": 142, "975611686706543": 142, "9756245017051697": 142, "9757025837898254": 142, "9757036566734314": 142, "9757626056671143": 142, "9758036732673645": 142, "975834": 142, "975897": 142, "975924": 142, "9759276509284973": 142, "976": 142, "9760121703147888": 142, "9760287404060364": 142, "976082": 142, "9760885834693909": 142, "9760894179344177": 142, "9761": 147, "976128": 142, "976148": 142, "976184": 142, "976190": 142, "976220": 142, "976236": 142, "976257": 142, "976261": 142, "976265": 142, "976273": 142, "976289": 142, "9762948155403137": 142, "976326": 142, "976389467716217": 142, "97640000e": [147, 149], "976401": 142, "9764016270637512": 142, "9764084815979004": 142, "976419": 142, "9764263033866882": 142, "9764437079429626": 142, "976474940776825": 142, "976503372192383": 142, "9765682220459": 142, "976584": 142, "976589": 142, "9766178131103516": 142, "976632297039032": 142, "9767057299613953": 142, "976724": 142, "9767267107963562": 142, "9767341017723083": 142, "976765": 142, "9767903685569763": 142, "9768375754356384": 142, "976847": 142, "976876": 142, "9768829345703125": 142, "976892": 142, "9768945574760437": 142, "976909637451172": 142, "9769182801246643": 142, "976920": 142, "976930": 142, "9769442677497864": 142, "9769540429115295": 142, "9769697785377502": 142, "976971": 142, "976kb": 134, "9770105481147766": 142, "977049": 142, "9770853519439697": 142, "977110": 142, "977115": 142, "977129": 142, "977162": 142, "9771808981895447": 142, "977189": 142, "977204": 142, "977205": 142, "977244": 142, "9773131012916565": 142, "977314293384552": 142, "977347": 142, "977353": 142, "977356": 142, "977359": 142, "977361": 142, "977362": 142, "977363": 142, "977367": 142, "977371": 142, "977382": 142, "977383": 142, "977384": 142, "977390": 142, "977401": 142, "977403": 142, "977407": 142, "977410": 142, "977425": 142, "977426": 142, "977427": 142, "977434": 142, "977435": 142, "977436": 142, "977443": 142, "977453": 142, "977454": 142, "9774574637413025": 142, "9774578213691711": 142, "977462": 142, "977475": 142, "9775": 142, "977534": 142, "977537": 142, "977540": 142, "9775407910346985": 142, "977541": 142, "977543": 142, "977545": 142, "977549": 142, "977550": 142, "9775637984275818": 142, "977567": 142, "977568": 142, "9775710701942444": 142, "977572": 142, "977578": 142, "977582": 142, "977585": 142, "9775850176811218": 142, "977592": 142, "9775936007499695": 142, "977699": 144, "9777023196220398": 142, "9777342677116394": 142, "9777496457099915": 142, "9777719378471375": 142, "9777728915214539": 142, "9778": 142, "977878987789154": 142, "9779618382453918": 142, "977b6be1cbac6864e63c4c7fbf8a3fc": 130, "978": 142, "9780341982841492": 142, "9781": 142, "9782": 142, "9783353209495544": 142, "9783551096916199": 142, "97838020324707": 142, "9784": 138, "9784199595451355": 142, "978498": 142, "978500": 142, "978523": 142, "978531": 142, "978532": 142, "978546": 142, "978553": 142, "978568": 142, "978595": 142, "9786280989646912": 142, "9787490963935852": 142, "9787620902061462": 142, "978785": 142, "9788": 142, "978853": 142, "978854": 142, "9789": 142, "978974": 142, "978976": 142, "9789817929267883": 142, "978986": 142, "978987": 142, "9789919257164001": 142, "979": [134, 142], "9790974259376526": 142, "9791": [142, 147], "979115": 142, "9791180491447449": 142, "9791243672370911": 142, "9791439175605774": 142, "97915267944336": 142, "9791777729988098": 142, "9792419075965881": 142, "979259": 142, "979261": 142, "979264": 142, "979267": 142, "979273": 142, "979288": 142, "979289": 142, "9792901873588562": 142, "979291": 142, "9792910218238831": 142, "9792988896369934": 142, "9792999625205994": 142, "9794": 142, "979414": 142, "979423": 142, "9794963002204895": 142, "9795374274253845": 142, "9795579314231873": 142, "9795868360670283e": 142, "9795902371406555": 142, "97964096069336": 142, "9797": 142, "979713": 142, "9797286987304688": 142, "9797374606132507": 142, "979751": 142, "9797981381416321": 142, "9798": 142, "97983169555664": 142, "9798709750175476": 142, "9798914790153503": 142, "979910": 142, "979911": 142, "979931": 142, "979932963848114": 142, "979980": 142, "97e": 147, "97g": 129, "97it": 147, "97m": 134, "97mb": 134, "98": [134, 142, 147, 149], "980": 134, "980094": 142, "9801": 142, "980109": 142, "9801681637763977": 142, "9801761507987976": 142, "9801885485649109": 142, "980193": 142, "980200": 142, "9802380204200745": 142, "9802895188331604": 142, "980321884155273": 142, "9803275465965271": 142, "9803881049156189": 142, "980420": 142, "9804492592811584": 142, "9805702567100525": 142, "980649": 142, "980659": 142, "980661": 142, "980665": 142, "9806877970695496": 142, "980749": 142, "9808477759361267": 142, "9808588624000549": 142, "980867385864258": 142, "9808697700500488": 142, "980936": 142, "980947": 142, "980948": 142, "980949": 142, "9810091853141785": 142, "9810230135917664": 142, "9810890555381775": 142, "9811025261878967": 142, "98114585876465": 142, "981148362159729": 142, "98121452331543": 142, "981215": 142, "9812987446784973": 142, "9813": [142, 154], "981304943561554": 142, "981311": 142, "981312": 142, "981356": 142, "981365": 142, "981368": 142, "981377": 142, "9813780188560486": 142, "981379": 142, "981383": 142, "981386": 142, "9814": 142, "981433868408203": 142, "981489360332489": 142, "981516": 153, "981539": 142, "9815917611122131": 142, "98160743713379": 142, "9816141724586487": 142, "9816609025001526": 142, "981738567352295": 141, "9817619919776917": 142, "9818016886711121": 142, "9818313717842102": 142, "9818609356880188": 142, "9818922877311707": 142, "981930255889893": 142, "981933": 142, "9819340705871582": 142, "9819361567497253": 142, "9819377064704895": 142, "9819932579994202": 142, "9820564389228821": 142, "982070": 142, "9821262955665588": 142, "9821829199790955": 142, "9821833968162537": 142, "982188": 142, "9822158217430115": 142, "98222541809082": 142, "982261": 142, "9822669625282288": 142, "9822737574577332": 142, "9822956919670105": 142, "982370": 142, "982376": 142, "982443": 142, "9825274348258972": 142, "9825432896614075": 142, "9825525879859924": 142, "9825697541236877": 142, "982587993144989": 142, "9826001524925232": 142, "9826037287712097": 142, "9827": 142, "9827022552490234": 142, "982725": 142, "9827340245246887": 142, "982773": 142, "9828361868858337": 142, "982870": 142, "982871": 142, "982873": 142, "982877731323242": 142, "9828784465789795": 142, "9829415678977966": 142, "9829874634742737": 142, "98299789428711": 142, "983": 142, "9830828309059143": 142, "9831411242485046": 142, "9831587672233582": 142, "9832400679588318": 142, "983314514160156": 142, "9833330512046814": 142, "983358": 142, "983362": 142, "983365": 142, "983388": 142, "983430": 142, "983445": 142, "9834461808204651": 142, "983459": 142, "9835": [138, 142], "983509": 142, "983566": 142, "9835913777351379": 142, "983602": 142, "9836447834968567": 142, "9836599230766296": 142, "9837062954902649": 142, "9837338328361511": 142, "983850": 142, "983kb": 134, "9840506911277771": 142, "984055": 142, "9842173457145691": 142, "984247624874115": 142, "9843": 142, "9843341708183289": 142, "984352": 142, "984447479248047": 142, "9844563603401184": 142, "9844881892204285": 142, "9845": 142, "984519": 142, "984550": 142, "984586": 142, "9845874905586243": 142, "9846": 142, "984605": 142, "9846200346946716": 142, "984696": 142, "984698": 142, "984704": 142, "984714": 142, "984744": 142, "984761": 142, "984779417514801": 142, "9848112463951111": 142, "984834611415863": 142, "984872": 142, "984873": 142, "9848737120628357": 142, "9848861694335938": 142, "984955370426178": 142, "9850302338600159": 142, "9850553870201111": 142, "985085666179657": 142, "9851122498512268": 142, "9851124882698059": 142, "9851202368736267": 142, "9851446747779846": 142, "9852810502052307": 142, "9852864146232605": 142, "985289": 142, "985304": 142, "9853430390357971": 142, "9853753447532654": 142, "9854": 142, "9854004979133606": 142, "985442": 142, "985443": 142, "985451": 142, "985454797744751": 142, "9854834675788879": 142, "9855053424835205": 142, "9855403304100037": 142, "985577": 142, "985584": 142, "9855858683586121": 142, "9856": 142, "9856260418891907": 142, "985699": 142, "98570317029953": 142, "9857447147369385": 142, "985782": 142, "9858017563819885": 142, "985806": 142, "985825": 142, "985829": 142, "985831": 142, "9858787655830383": 142, "9859486222267151": 142, "9859816431999207": 142, "986": 153, "9860685467720032": 142, "986106872558594": 142, "986127853393555": 142, "9862057566642761": 142, "9862120747566223": 142, "986352920532227": 142, "9863564372062683": 142, "9863807559013367": 142, "9864746928215027": 142, "9865429997444153": 142, "9866029620170593": 142, "9866196513175964": 142, "98665428161621": 142, "9866982102394104": 142, "9867013692855835": 142, "986717148218304e": 142, "9867671132087708": 142, "9868": 142, "9868595004081726": 142, "9868869185447693": 142, "9869125485420227": 142, "986989974975586": 142, "987": [134, 142], "9870581030845642": 142, "9871243834495544": 142, "9871276021003723": 142, "9871351718902588": 142, "9871763586997986": 142, "9872155785560608": 142, "9872408509254456": 142, "9872949719429016": 142, "9873055815696716": 142, "9873175024986267": 142, "987338125705719": 142, "9873451590538025": 142, "9873839020729065": 142, "987436294555664": 142, "9875026345252991": 142, "9875355362892151": 142, "9875374436378479": 142, "9875771403312683": 142, "9875891804695129": 142, "9875980019569397": 142, "9876654744148254": 142, "9877039790153503": 142, "9877215027809143": 142, "9877369999885559": 142, "9877598881721497": 142, "9877886176109314": 142, "9877917170524597": 142, "9877989888191223": 142, "9878136515617371": 142, "9878829121589661": 142, "9878910183906555": 142, "9879992604255676": 142, "987kb": 134, "988": 142, "9880487322807312": 142, "9881": [139, 142], "9881022572517395": 142, "9881178736686707": 142, "9881431460380554": 142, "9881864190101624": 142, "9881988167762756": 142, "9882": 142, "988208770751953": 142, "9882655739784241": 142, "9884": 142, "9884102940559387": 142, "9884138107299805": 142, "988468885421753": 142, "988473117351532": 142, "9886115193367004": 142, "9886220097541809": 142, "9886488318443298": 142, "9886775016784668": 142, "9886814951896667": 142, "9887683987617493": 142, "988771378993988": 142, "9887775778770447": 142, "9888": 142, "9888224005699158": 142, "9888649582862854": 142, "9888803362846375": 142, "9889": 142, "9889131188392639": 142, "9889232516288757": 142, "9889325499534607": 142, "9889575839042664": 142, "988985061645508": 142, "9889957308769226": 142, "988996": 142, "9891014695167542": 142, "9891846776008606": 142, "9892": 147, "9892356991767883": 142, "989288330078125": 142, "9893": 138, "9893144106684715": [138, 148], "9893363118171692": 142, "9893509745597839": 142, "9893633723258972": 142, "9893856048584": 142, "9893936514854431": 142, "9893983006477356": 142, "9893998503684998": 142, "989401": 142, "989407": 142, "9895": 142, "989513": 142, "989530": 142, "989546": 142, "989557": 142, "98956298828125": 142, "989564836025238": 142, "989576": 142, "989586": 142, "989604": 142, "989606": 142, "989609": 142, "989611": 142, "989613": 142, "989615": 142, "989616": 142, "989617": 142, "989623": 142, "989624": 142, "989625": 142, "989627": 142, "989634": 142, "989635": 142, "989638": 142, "989640": 142, "989645": 142, "989647": 142, "9896473288536072": 142, "9896480441093445": 142, "989649": 142, "989651": 142, "989695": 142, "9897": 142, "989737": 142, "989761829376221": 142, "9897699952125549": 142, "989782": 142, "9897881150245667": 142, "9897919297218323": 142, "9899440407752991": 142, "9899925589561462": 142, "9899957776069641": 142, "98e": 147, "98it": 147, "98m": 134, "99": [134, 147, 149], "9900": 142, "9900066256523132": 142, "9900364279747009": 142, "9900415539741516": 142, "9900619387626648": 142, "9900631308555603": 142, "990090": 142, "990091": 142, "9900937676429749": 142, "9901012778282166": 142, "9901275038719177": 142, "9901321530342102": 142, "9901531338691711": 142, "990169525146484": 142, "9901742339134216": 142, "990192413330078": 142, "9902": 142, "9902085661888123": 142, "990232": 142, "990239679813385": 142, "990243": 142, "9902642369270325": 142, "9903295636177063": 142, "9903313517570496": 142, "990348756313324": 142, "9903885722160339": 142, "9904124140739441": 142, "9904603362083435": 142, "9904764294624329": 142, "990476667881012": 142, "9905144572257996": 142, "9905282855033875": 142, "990532": 142, "9905497431755066": 142, "990591824054718": 142, "9905999302864075": 142, "9906": 142, "990614116191864": 142, "9906232953071594": 142, "9906982779502869": 142, "9906989932060242": 142, "9907": 142, "9907039999961853": 142, "9907085": 151, "9907210469245911": 142, "9907270073890686": 142, "9907416701316833": 142, "990791380405426": 142, "9908118844032288": 142, "9908356070518494": 142, "9908666014671326": 142, "9908731579780579": 142, "9908928275108337": 142, "9909120202064514": 142, "990976333618164": 142, "9909878373146057": 142, "9910": 142, "9910520911216736": 142, "9911": 142, "991114": 142, "9911178946495056": 142, "9911256432533264": 142, "991127014160156": 142, "9911293983459473": 142, "9911310076713562": 142, "9911505579948425": 142, "9911765456199646": 142, "991219": 142, "9912334084510803": 142, "991257": 142, "9912628531455994": 142, "991279661655426": 142, "991296": 142, "9912986159324646": 142, "991308867931366": 142, "9913560748100281": 142, "9913942217826843": 142, "9913972020149231": 142, "991398274898529": 142, "9914180636405945": 142, "991428": 142, "99143123626709": 142, "991434": 142, "9914770722389221": 142, "991503894329071": 142, "9915053248405457": 142, "991518974304199": 142, "991520": 142, "991544": 142, "9915483593940735": 142, "9915880560874939": 142, "9915899634361267": 142, "9916": 142, "9916024804115295": 142, "991641104221344": 142, "9916501641273499": 142, "991652": 142, "991656": 142, "991664": 142, "991676": 142, "9917252659797668": 142, "9917537569999695": 142, "9917818903923035": 142, "991793692111969": 142, "991806030273438": 142, "9918432831764221": 142, "9918518662452698": 142, "991900": 142, "99190330505371": 142, "9919084906578064": 142, "9919702410697937": 142, "992": 142, "9920": 142, "9920181632041931": 142, "9920346140861511": 142, "9920950531959534": 142, "9921": 142, "9921050667762756": 142, "9921073317527771": 142, "9921186566352844": 142, "9921318888664246": 142, "9921455979347229": 142, "9921464920043945": 142, "9921556115150452": 142, "9921593070030212": 142, "9922": 142, "9922730326652527": 142, "992273330688477": 142, "992279052734375": 142, "9923": 142, "9923080801963806": 142, "9923478960990906": 142, "9923626780509949": 142, "992379367351532": 142, "9924116730690002": 142, "9924201369285583": 142, "992423951625824": 142, "9924716353416443": 142, "9924843907356262": 142, "9925": 142, "9925015568733215": 142, "9925139546394348": 142, "9925159811973572": 142, "9925381541252136": 142, "9925410151481628": 142, "9925499558448792": 142, "9925619959831238": 142, "9925660490989685": 142, "9925755858421326": 142, "9925845265388489": 142, "992668": 144, "9926699995994568": 142, "9927274584770203": 142, "9927276968955994": 142, "992764472961426": 142, "9927700161933899": 142, "9928300976753235": 142, "9928397536277771": 142, "9928568005561829": 142, "9929080605506897": 142, "9929434657096863": 142, "9929694533348083": 142, "9929872155189514": 142, "9929977059364319": 142, "9929996132850647": 142, "993019163608551": 142, "9931110739707947": 142, "9931308627128601": 142, "9931501746177673": 142, "9931630492210388": 142, "9931966662406921": 142, "9932146668434143": 142, "9932274222373962": 142, "9932522177696228": 142, "9932639002799988": 142, "9932680726051331": 142, "9932712912559509": 142, "9932728409767151": 142, "9932741522789001": 142, "9932742714881897": 142, "9932768940925598": 142, "9932851195335388": 142, "9932968020439148": 142, "9933119416236877": 142, "9933176636695862": 142, "9933300614356995": 142, "9933401942253113": 142, "9933502078056335": 142, "9933697581291199": 142, "9933934807777405": 142, "9934043288230896": 142, "9934116005897522": 142, "9934572577476501": 142, "9934588074684143": 142, "9934659600257874": 142, "9934988617897034": 142, "9935000538825989": 142, "9935020804405212": 142, "9935030341148376": 142, "9935042262077332": 142, "9935047030448914": 142, "9935112595558167": 142, "9935166239738464": 142, "9935169816017151": 142, "9935194849967957": 142, "9935219287872314": 142, "9935240149497986": 142, "9935253262519836": 142, "9935263991355896": 142, "9935334324836731": 142, "993534505367279": 142, "9935367703437805": 142, "993537962436676": 142, "993543803691864": 142, "9935439229011536": 142, "9935460686683655": 142, "993548572063446": 142, "9935550093650818": 142, "993569552898407": 142, "9935954213142395": 142, "993596613407135": 142, "9936149716377258": 142, "9936196208000183": 142, "9936209321022034": 142, "9936218857765198": 142, "9936283230781555": 142, "9936311841011047": 142, "9936372637748718": 142, "9936397671699524": 142, "993644654750824": 142, "9936537146568298": 142, "9936543107032776": 142, "9936559796333313": 142, "9936632513999939": 142, "9936656355857849": 142, "9936684966087341": 142, "9936749339103699": 142, "9936754107475281": 142, "9936804175376892": 142, "9936816096305847": 142, "9936901926994324": 142, "9937036633491516": 142, "9937090277671814": 142, "9937117695808411": 142, "9937254786491394": 142, "9937261939048767": 142, "9937514662742615": 142, "993756115436554": 142, "9937590956687927": 142, "9937790036201477": 142, "9937800765037537": 142, "993797242641449": 142, "9938": 142, "9938084483146667": 142, "9938250184059143": 142, "9938306212425232": 142, "9938343167304993": 142, "9938367009162903": 142, "9938382506370544": 142, "9938430190086365": 142, "9938533902168274": 142, "9938729405403137": 142, "9938735365867615": 142, "9938748478889465": 142, "993877112865448": 142, "9938928484916687": 142, "9939": 142, "9939104914665222": 142, "9939116835594177": 142, "9939274191856384": 142, "9939287304878235": 142, "9939524531364441": 142, "9939574599266052": 142, "993960440158844": 142, "99397212266922": 142, "9939927458763123": 142, "994": 142, "9940082430839539": 142, "9940236210823059": 142, "9940280318260193": 142, "9940511584281921": 142, "9940528273582458": 142, "9940590262413025": 142, "9940597414970398": 142, "9940831065177917": 142, "99409419298172": 142, "9940984845161438": 142, "9941021800041199": 142, "9941096901893616": 142, "9941110014915466": 142, "9941142201423645": 142, "994118869304657": 142, "9941204190254211": 142, "9941307902336121": 142, "994140088558197": 142, "994143545627594": 142, "9941520094871521": 142, "9941601157188416": 142, "994167149066925": 142, "9941796660423279": 142, "9941801428794861": 142, "9941803812980652": 142, "9941877722740173": 142, "994195282459259": 142, "9942": 142, "9942036271095276": 142, "9942082762718201": 142, "9942179322242737": 142, "9942219853401184": 142, "9942359328269958": 142, "9942370057106018": 142, "9942416548728943": 142, "9942629933357239": 142, "9942633509635925": 142, "9942654967308044": 142, "9942681193351746": 142, "9942705035209656": 142, "9942782521247864": 142, "9942825436592102": 142, "9942932724952698": 142, "994309902191162": 142, "9943142533302307": 142, "9943223595619202": 142, "9943367838859558": 142, "9943503737449646": 142, "9943527579307556": 142, "9943529963493347": 142, "9943614602088928": 142, "9943638443946838": 142, "9943645596504211": 142, "9943843483924866": 142, "9943863749504089": 142, "9943905472755432": 142, "9943906664848328": 142, "9943913817405701": 142, "9944068789482117": 142, "9944162964820862": 142, "9944209456443787": 142, "9944217801094055": 142, "9944227337837219": 142, "9944295287132263": 142, "9944499135017395": 142, "9944658279418945": 142, "9944666028022766": 142, "9944697022438049": 142, "9944702982902527": 142, "9944810271263123": 142, "9944872260093689": 142, "9944997429847717": 142, "9945": 142, "9945083260536194": 142, "9945102334022522": 142, "9945111870765686": 142, "9945175647735596": 142, "9945233464241028": 142, "9945244193077087": 142, "9945546984672546": 142, "9945589900016785": 142, "9945686459541321": 142, "9945687651634216": 142, "9945744872093201": 142, "9945754408836365": 142, "99459308385849": 142, "9945985674858093": 142, "994598925113678": 142, "9946": 142, "9946113228797913": 142, "9946362376213074": 142, "9946388602256775": 142, "9946442246437073": 142, "9946582913398743": 142, "9946641325950623": 142, "9946882128715515": 142, "9946889281272888": 142, "9946923851966858": 142, "9946935772895813": 142, "9946946501731873": 142, "9946947693824768": 142, "9947": 142, "9947006106376648": 142, "9947007298469543": 142, "9947295784950256": 142, "9947298169136047": 142, "9947338700294495": 142, "9947357773780823": 142, "994748055934906": 142, "9947503209114075": 142, "994755208492279": 142, "9947646260261536": 142, "9947661757469177": 142, "9947687983512878": 142, "9947691559791565": 142, "994772732257843": 142, "9947771430015564": 142, "994777500629425": 142, "9947789311408997": 142, "9947839379310608": 142, "9947851300239563": 142, "9947901368141174": 142, "9947910904884338": 142, "9947951436042786": 142, "9948": 142, "9948071837425232": 142, "9948083758354187": 142, "9948095679283142": 142, "994819700717926": 142, "994822084903717": 142, "9948319792747498": 142, "9948425889015198": 142, "99485570e": [147, 149], "9948775172233582": 142, "9948779940605164": 142, "9948799014091492": 142, "9948835968971252": 142, "9948870539665222": 142, "9948899149894714": 142, "9948976635932922": 142, "9949062466621399": 142, "9949279427528381": 142, "9949286580085754": 142, "9949330687522888": 142, "9949333071708679": 142, "9949371218681335": 142, "9949384331703186": 142, "9949399828910828": 142, "9949414134025574": 142, "994953453540802": 142, "99496990442276": 142, "994976818561554": 142, "9949776530265808": 142, "9949795603752136": 142, "9950055480003357": 142, "9950184226036072": 142, "9950271248817444": 142, "9950413107872009": 142, "9950451254844666": 142, "9950531125068665": 142, "9950613379478455": 142, "9950633645057678": 142, "995074450969696": 142, "9950773119926453": 142, "9950806498527527": 142, "9950869679450989": 142, "9951": 142, "9951072335243225": 142, "9951083064079285": 142, "995111882686615": 142, "9951128363609314": 142, "995117723941803": 142, "9951196312904358": 142, "9951207041740417": 142, "995122": 142, "9951264262199402": 142, "9951285719871521": 142, "9951314330101013": 142, "9951363205909729": 142, "9951377511024475": 142, "995141327381134": 142, "9951425194740295": 142, "9951556324958801": 142, "9951558709144592": 142, "9951570630073547": 142, "9951642155647278": 142, "9951675534248352": 142, "9951679110527039": 142, "9951764941215515": 142, "995178": 144, "9951792359352112": 142, "9951913952827454": 142, "995193": 142, "9951993823051453": 142, "9952": 142, "9952000975608826": 142, "9952002167701721": 142, "995201": 142, "9952014088630676": 142, "9952072501182556": 142, "9952138066291809": 142, "9952208399772644": 142, "9952258467674255": 142, "9952390789985657": 142, "9952420592308044": 142, "9952448010444641": 142, "9952487349510193": 142, "995251476764679": 142, "9952600598335266": 142, "9952765107154846": 142, "9952828288078308": 142, "9952864050865173": 142, "9952869415283203": 142, "9952886700630188": 142, "9953": 142, "9953227639198303": 142, "9953277707099915": 142, "9953374266624451": 142, "9953425526618958": 142, "9953487515449524": 142, "9953573346138": 142, "9953595995903015": 142, "9953711628913879": 142, "995372474193573": 142, "9953964352607727": 142, "9954": 142, "9954113364219666": 142, "995421826839447": 142, "9954321980476379": 142, "9954383969306946": 142, "9954472184181213": 142, "9954473376274109": 142, "99544757604599": 142, "9954561591148376": 142, "9954602122306824": 142, "9954642653465271": 142, "9954652190208435": 142, "9954720139503479": 142, "9954760670661926": 142, "9954836964607239": 142, "9954841732978821": 142, "9954951405525208": 142, "9954957365989685": 142, "9955094456672668": 142, "9955139756202698": 142, "9955206513404846": 142, "9955245852470398": 142, "9955407977104187": 142, "9955419898033142": 142, "9955437779426575": 142, "9955597519874573": 142, "9955607056617737": 142, "9955641627311707": 142, "9955729842185974": 142, "9955820441246033": 142, "9956": 142, "9956032633781433": 142, "9956055283546448": 142, "9956179261207581": 142, "9956315159797668": 142, "9956323504447937": 142, "995638906955719": 142, "9956442713737488": 142, "9956590533256531": 142, "9956603646278381": 142, "9956610798835754": 142, "9956731200218201": 142, "9956745505332947": 142, "9956877827644348": 142, "9956919550895691": 142, "9957": 142, "9957125782966614": 142, "995715320110321": 142, "9957208037376404": 142, "9957271218299866": 142, "9957447648048401": 142, "995758056640625": 142, "9957649111747742": 142, "9957650303840637": 142, "9957743287086487": 142, "9957804083824158": 142, "9957860112190247": 142, "9957894682884216": 142, "995792388916016": 142, "9958": 142, "9958035349845886": 142, "9958063960075378": 142, "995806872844696": 142, "9958110451698303": 142, "9958177208900452": 142, "9958215355873108": 142, "9958340525627136": 142, "9958507418632507": 142, "9958512187004089": 142, "995870053768158": 142, "9958793520927429": 142, "9958859086036682": 142, "99588966369629": 142, "9958954453468323": 142, "9958980679512024": 142, "9958999752998352": 142, "9959010481834412": 142, "9959130883216858": 142, "9959147572517395": 142, "9959163069725037": 142, "995917022228241": 142, "995917797088623": 142, "9959216713905334": 142, "9959248900413513": 142, "9959264397621155": 142, "9959390759468079": 142, "9959504008293152": 142, "995954692363739": 142, "9959563612937927": 142, "9959667325019836": 142, "9959918856620789": 142, "99599689245224": 142, "9959987998008728": 142, "9959993958473206": 142, "9960054755210876": 142, "9960154891014099": 142, "9960182309150696": 142, "9960218071937561": 142, "9960331320762634": 142, "9960408806800842": 142, "9960431456565857": 142, "9960632920265198": 142, "9960644841194153": 142, "9960687756538391": 142, "9960699677467346": 142, "9960823655128479": 142, "9961": 142, "996100127696991": 142, "9961008429527283": 142, "9961090683937073": 142, "9961206316947937": 142, "9961252808570862": 142, "9961257576942444": 142, "996133029460907": 142, "9961331486701965": 142, "996135413646698": 142, "9961389899253845": 142, "9961491227149963": 142, "996161": 142, "996162": 142, "996167004108429": 142, "9961701035499573": 142, "9961751103401184": 142, "9961753487586975": 142, "9961913228034973": 142, "9961951375007629": 142, "9961966872215271": 142, "9962001442909241": 142, "9962032437324524": 142, "9962143301963806": 142, "9962167739868164": 142, "9962168335914612": 142, "9962218403816223": 142, "9962239861488342": 142, "996228039264679": 142, "9962294697761536": 142, "9962385296821594": 142, "9962447285652161": 142, "9962460398674011": 142, "9962548613548279": 142, "9962603449821472": 142, "9962610602378845": 142, "9962649941444397": 142, "9962682127952576": 142, "9963088631629944": 142, "9963124394416809": 142, "9963211417198181": 142, "9963257908821106": 142, "9963260293006897": 142, "9963331818580627": 142, "996333658695221": 142, "996353805065155": 142, "9963551163673401": 142, "9963588118553162": 142, "9963591694831848": 142, "9963634610176086": 142, "9963759779930115": 142, "9963957667350769": 142, "9964": 142, "9964012503623962": 142, "9964038729667664": 142, "9964073300361633": 142, "9964112639427185": 142, "9964216351509094": 142, "9964303374290466": 142, "9964330792427063": 142, "9964427351951599": 142, "9964433312416077": 142, "9964520335197449": 142, "996461808681488": 142, "9964783787727356": 142, "9964794516563416": 142, "9964826703071594": 142, "9964845776557922": 142, "996487557888031": 142, "9964877963066101": 142, "9964954257011414": 142, "9964966177940369": 142, "996513307094574": 142, "9965198636054993": 142, "996528685092926": 142, "9965295195579529": 142, "9965428709983826": 142, "9965506196022034": 142, "9965537190437317": 142, "9965571761131287": 142, "9965625405311584": 142, "9965644478797913": 142, "9965741038322449": 142, "9965773224830627": 142, "9965800642967224": 142, "9966022372245789": 142, "9966036677360535": 142, "9966059327125549": 142, "9966172575950623": 142, "9966174960136414": 142, "9966210722923279": 142, "9966338276863098": 142, "9966351389884949": 142, "9966437220573425": 142, "9966556429862976": 142, "9966564774513245": 142, "9966570734977722": 142, "9966625571250916": 142, "9966668486595154": 142, "996667206287384": 142, "9966774582862854": 142, "9966983199119568": 142, "9967036843299866": 142, "9967111945152283": 142, "9967191815376282": 142, "9967193007469177": 142, "9967300295829773": 142, "996730387210846": 142, "9967580437660217": 142, "9967681765556335": 142, "9967724680900574": 142, "9967774748802185": 142, "996787965297699": 142, "9967909455299377": 142, "9967934489250183": 142, "9967972636222839": 142, "9968038201332092": 142, "9968077540397644": 142, "9968085885047913": 142, "9968163371086121": 142, "9968240857124329": 142, "9968263506889343": 142, "9968355298042297": 142, "9968364834785461": 142, "9968411326408386": 142, "9968519806861877": 142, "9968566298484802": 142, "9968587756156921": 142, "9968693852424622": 142, "9968875050544739": 142, "9968919157981873": 142, "9968984723091125": 142, "9969": 142, "9969119429588318": 142, "9969128966331482": 142, "9969232678413391": 142, "9969294667243958": 142, "9969305396080017": 142, "996940": 142, "9969504475593567": 142, "9969509243965149": 142, "9969558119773865": 142, "9969590306282043": 142, "9969891905784607": 142, "9970": 142, "997002899646759": 142, "9970046877861023": 142, "9970139861106873": 142, "9970174431800842": 142, "9970207810401917": 142, "9970285296440125": 142, "9970303177833557": 142, "9970306754112244": 142, "9970347285270691": 142, "9970516562461853": 142, "9970667958259583": 142, "9970836043357849": 142, "9970850348472595": 142, "9970858693122864": 142, "9970946907997131": 142, "9971": 142, "9971203207969666": 142, "9971405863761902": 142, "99714595079422": 142, "997154176235199": 142, "9971548914909363": 142, "9971564412117004": 142, "9971584677696228": 142, "9971703886985779": 142, "9971712231636047": 142, "9971767067909241": 142, "9971838593482971": 142, "9971939921379089": 142, "9972": 142, "9972015023231506": 142, "9972067475318909": 142, "9972094893455505": 142, "9972259402275085": 142, "9972267746925354": 142, "9972297549247742": 142, "9972428679466248": 142, "9972527623176575": 142, "997256278991699": 142, "9972605109214783": 142, "9972650408744812": 142, "9972681403160095": 142, "997270405292511": 142, "997272789478302": 142, "99727863073349": 142, "9973016381263733": 142, "9973050951957703": 142, "9973283410072327": 142, "9973320364952087": 142, "9973333477973938": 142, "9973545670509338": 142, "9973577857017517": 142, "9973617196083069": 142, "9973857998847961": 142, "9973880648612976": 142, "9973899722099304": 142, "9973923563957214": 142, "9973935484886169": 142, "9974024891853333": 142, "9974028468132019": 142, "9974111914634705": 142, "9974159598350525": 142, "9974213242530823": 142, "9974424242973328": 142, "9974542260169983": 142, "9974563717842102": 142, "997460663318634": 142, "997467577457428": 142, "9974722266197205": 142, "9974730610847473": 142, "9974798560142517": 142, "9974923729896545": 142, "9975066184997559": 142, "9975160956382751": 142, "9975209832191467": 142, "997523844242096": 142, "9975271821022034": 142, "9975276589393616": 142, "9975300431251526": 142, "9975339770317078": 142, "997535765171051": 142, "9975529313087463": 142, "9975594878196716": 142, "9975718855857849": 142, "9975753426551819": 142, "9975823760032654": 142, "9975842833518982": 142, "997593104839325": 142, "9976057410240173": 142, "9976086020469666": 142, "9976125359535217": 142, "9976128935813904": 142, "9976215958595276": 142, "9976323246955872": 142, "9976345896720886": 142, "9976351857185364": 142, "997636616230011": 142, "9976369738578796": 142, "9976394772529602": 142, "9976401925086975": 142, "9976447224617004": 142, "997647225856781": 142, "9976525902748108": 142, "9976537823677063": 142, "9976586699485779": 142, "9976608157157898": 142, "9976703524589539": 142, "9976899027824402": 142, "9976999163627625": 142, "9977007508277893": 142, "9977075457572937": 142, "9977166056632996": 142, "9977250695228577": 142, "9977290034294128": 142, "9977309107780457": 142, "9977324604988098": 142, "9977344870567322": 142, "9977608323097229": 142, "9977635741233826": 142, "99777603149414": 142, "9977774024009705": 142, "9977867007255554": 142, "9977995753288269": 142, "9978074431419373": 142, "9978083968162537": 142, "9978112578392029": 142, "9978163838386536": 142, "9978269934654236": 142, "9978321194648743": 142, "997836172580719": 142, "997839629650116": 142, "9978514313697815": 142, "9978519082069397": 142, "9978674054145813": 142, "9978733658790588": 142, "997874915599823": 142, "9978825449943542": 142, "9978830218315125": 142, "9978907704353333": 142, "9978943467140198": 142, "997903823852539": 142, "9979038834571838": 142, "9979193806648254": 142, "9979248642921448": 142, "9979265332221985": 142, "9979329705238342": 142, "9979358315467834": 142, "9979367852210999": 142, "99796062707901": 142, "9979661107063293": 142, "9979668259620667": 142, "997973620891571": 142, "9979791045188904": 142, "998": 142, "9980033040046692": 142, "9980106949806213": 142, "9980140328407288": 142, "9980265498161316": 142, "9980295300483704": 142, "9980403780937195": 142, "9980432391166687": 142, "9980435967445374": 142, "998047411441803": 142, "9980475306510925": 142, "9980500340461731": 142, "998054563999176": 142, "9980594515800476": 142, "9980637431144714": 142, "9980699419975281": 142, "9980738759040833": 142, "9980747103691101": 142, "9980769753456116": 142, "9980805516242981": 142, "9980944991111755": 142, "9981": 142, "9981052279472351": 142, "998114287853241": 142, "9981145262718201": 142, "9981289505958557": 142, "9981312155723572": 142, "998132050037384": 142, "9981370568275452": 142, "9981420636177063": 142, "998144805431366": 142, "998147": 142, "998151": 142, "998155": 142, "9981552958488464": 142, "9981556534767151": 142, "998156": 142, "998173": 142, "9981743693351746": 142, "9981774687767029": 142, "998179018497467": 142, "9981885552406311": 142, "998195": 142, "998197": 142, "9981978535652161": 142, "998201": 142, "9982041716575623": 142, "9982042908668518": 142, "9982102513313293": 142, "9982103705406189": 142, "9982126355171204": 142, "998212814331055": 142, "9982227683067322": 142, "9982263445854187": 142, "9982293248176575": 142, "998231": 142, "9982324242591858": 142, "998233": 142, "9982406497001648": 142, "9982413649559021": 142, "9982437491416931": 142, "9982442259788513": 142, "9982534050941467": 142, "9982653260231018": 142, "9982708096504211": 142, "9982717633247375": 142, "998277485370636": 142, "9982852339744568": 142, "9982874989509583": 142, "9982895255088806": 142, "9982929825782776": 142, "9983": [142, 147], "9983020424842834": 142, "9983054995536804": 142, "9983208775520325": 142, "998324": 142, "9983263611793518": 142, "9983275532722473": 142, "9983306527137756": 142, "9983345866203308": 142, "998353898525238": 142, "9983554482460022": 142, "9983585476875305": 142, "9983589053153992": 142, "9983592629432678": 142, "998359739780426": 142, "9983760714530945": 142, "9983819127082825": 142, "9983846545219421": 142, "9983869194984436": 142, "9983903765678406": 142, "9983907341957092": 142, "998397": 142, "998399555683136": 142, "9984": 142, "9984131455421448": 142, "9984143376350403": 142, "9984167218208313": 142, "998420": 142, "998421": 142, "9984291195869446": 142, "9984299540519714": 142, "9984485507011414": 142, "998451292514801": 142, "9984583258628845": 142, "9984608292579651": 142, "9984654784202576": 142, "9984717965126038": 142, "99848175048828": 142, "9984833598136902": 142, "9984846711158752": 142, "9984884858131409": 142, "9984889626502991": 142, "998491108417511": 142, "9984957575798035": 142, "9984959959983826": 142, "9985068440437317": 142, "9985114932060242": 142, "998512": 142, "9985128045082092": 142, "9985141158103943": 142, "9985184073448181": 142, "9985323548316956": 142, "998535": 142, "9985353350639343": 142, "9985401034355164": 142, "9985411763191223": 142, "9985412955284119": 142, "9985440373420715": 142, "9985523819923401": 142, "998554": 142, "9985547661781311": 142, "9985559582710266": 142, "998560": 142, "998561": 142, "9985659718513489": 142, "9985665678977966": 142, "998567": 142, "998569": 142, "998574733734131": 142, "9985777735710144": 142, "9985905289649963": 142, "9985913634300232": 142, "9985924363136292": 142, "9985948204994202": 142, "998595654964447": 142, "998601": 142, "9986030459403992": 142, "998604": 142, "998605": 142, "998610": 142, "998611": 142, "9986118674278259": 142, "998613": 142, "9986220002174377": 142, "9986256957054138": 142, "9986293911933899": 142, "9986352324485779": 142, "9986358284950256": 142, "9986383318901062": 142, "9986398816108704": 142, "9986425042152405": 142, "9986463189125061": 142, "9986472725868225": 142, "9986478686332703": 142, "9986534714698792": 142, "9986583590507507": 142, "9986588358879089": 142, "9986611008644104": 142, "998664915561676": 142, "9986681342124939": 142, "9986688494682312": 142, "9986726641654968": 142, "9986777901649475": 142, "9986779093742371": 142, "9986781477928162": 142, "9986836314201355": 142, "998685896396637": 142, "9986867308616638": 142, "9986934065818787": 142, "9986974596977234": 142, "9986987709999084": 142, "9987038969993591": 142, "9987100958824158": 142, "998713": 142, "9987159371376038": 142, "9987173676490784": 142, "9987273812294006": 142, "9987316727638245": 142, "998732": 142, "9987335801124573": 142, "998743": 142, "9987432360649109": 142, "9987444281578064": 142, "9987463355064392": 142, "998748": 142, "998750": 142, "998753": 142, "99875408411026": 142, "9987542033195496": 142, "998755": 142, "9987573027610779": 142, "9987708926200867": 142, "9987805485725403": 142, "9987818598747253": 142, "998787": 142, "9987941384315491": 142, "9987972378730774": 142, "9988": 142, "99880027770996": 142, "9988171458244324": 142, "9988206028938293": 142, "998838484287262": 142, "9988458752632141": 142, "9988555312156677": 142, "9988588690757751": 142, "998860": 142, "9988691210746765": 142, "9989": 142, "9989063143730164": 142, "998912": 142, "9989251494407654": 142, "9989269375801086": 142, "9989318251609802": 142, "9989383816719055": 142, "9989436268806458": 142, "998945": 142, "998949": 142, "9989493489265442": 142, "998954713344574": 142, "9989675879478455": 142, "9989678263664246": 142, "998968780040741": 142, "998970": 142, "998972": 142, "9989727139472961": 142, "9989780783653259": 142, "998979": 142, "9989791512489319": 142, "998981": 142, "9989811778068542": 142, "998985": 142, "9989877343177795": 142, "9989911913871765": 142, "9989965558052063": 142, "999": [132, 147, 157], "9990116953849792": 142, "9990180134773254": 142, "9990218281745911": 142, "9990293383598328": 142, "9990296959877014": 142, "9990304112434387": 142, "9990459084510803": 142, "9990469813346863": 142, "999052": 142, "9990580677986145": 142, "9990656971931458": 142, "9990738034248352": 142, "9990844130516052": 142, "999085009098053": 142, "999086380004883": 142, "9991007447242737": 142, "9991057515144348": 142, "9991088509559631": 142, "9991200566291809": 142, "9991269707679749": 142, "9991280436515808": 142, "999133": 142, "999136": 142, "999139": 142, "9991419911384583": 142, "999143": 142, "9991479516029358": 142, "9991490244865417": 142, "9991527199745178": 142, "9991560578346252": 142, "9991726279258728": 142, "9991855025291443": 142, "9991862177848816": 142, "9991877675056458": 142, "9991901516914368": 142, "999192": 142, "999196469783783": 142, "9991973042488098": 142, "9991982579231262": 142, "999204": 142, "9992085099220276": 142, "9992100596427917": 142, "9992229342460632": 142, "9992236495018005": 142, "9992340207099915": 142, "9992437958717346": 142, "999247133731842": 142, "9992499947547913": 142, "999265": 142, "999273955821991": 142, "9992778897285461": 142, "999298": 142, "9993": 142, "9993038773536682": 142, "9993042349815369": 142, "9993064999580383": 142, "9993178248405457": 142, "999318": 142, "9993210434913635": 142, "9993245005607605": 142, "9993357062339783": 142, "9993364214897156": 142, "9993410706520081": 142, "9993613362312317": 142, "9993628859519958": 142, "999367892742157": 142, "9993689656257629": 142, "9993695616722107": 142, "999376": 142, "999389": 142, "9993907809257507": 142, "9993955492973328": 142, "9993957877159119": 142, "9994048476219177": 142, "9994071125984192": 142, "9994139075279236": 142, "9994140267372131": 142, "9994164109230042": 142, "9994228482246399": 142, "9994261860847473": 142, "9994292855262756": 142, "99942946434021": 142, "9994300007820129": 142, "999432384967804": 142, "9994389414787292": 142, "9994426369667053": 142, "999448": 142, "9994500279426575": 142, "999454": 142, "9994605183601379": 142, "9994636178016663": 142, "9994733929634094": 142, "9994819760322571": 142, "9994849562644958": 142, "9994887709617615": 142, "999488890171051": 142, "999491274356842": 142, "9994943737983704": 142, "9994952082633972": 142, "9994967579841614": 142, "999498": 142, "999499499797821": 142, "999502": 142, "999508": 142, "999517": 142, "999518096446991": 142, "9995245337486267": 142, "999535858631134": 142, "999540": 142, "9995425343513489": 142, "999544": 142, "999549": 142, "9995610117912292": 142, "9995629191398621": 142, "9995664954185486": 142, "9995699524879456": 142, "9995712637901306": 142, "9995723366737366": 142, "9995747208595276": 142, "999576": 142, "9995761513710022": 142, "9995784163475037": 142, "9995803236961365": 142, "999584972858429": 142, "9995871186256409": 142, "9995972514152527": 142, "999599039554596": 142, "9996": 142, "9996088147163391": 142, "9996111989021301": 142, "9996152520179749": 142, "9996270537376404": 142, "9996307492256165": 142, "999639093875885": 142, "9996413588523865": 142, "9996458888053894": 142, "9996557831764221": 142, "9996563792228699": 142, "999657": 144, "999667227268219": 142, "9996758103370667": 142, "9996804594993591": 142, "9996808171272278": 142, "9996855854988098": 142, "9996998906135559": 142, "9997139573097229": 142, "9997336268424988": 142, "999736": 129, "9997379183769226": 142, "9997414946556091": 142, "9997444748878479": 142, "9997605681419373": 142, "9997662901878357": 142, "9997739195823669": 142, "9997890591621399": 142, "999790370464325": 142, "9997921586036682": 142, "9997962117195129": 142, "9997987151145935": 142, "9998": 142, "9998039603233337": 142, "9998082518577576": 142, "9998088479042053": 142, "999809": 129, "999826": 129, "999838": 129, "9998384118080139": 142, "999859": 129, "9998645186424255": 142, "999866": 129, "9998710751533508": 142, "9998871684074402": 142, "9998895525932312": 142, "999904453754425": 142, "999906599521637": 142, "9999081492424011": 142, "9999108910560608": 142, "9999244809150696": 142, "9999338984489441": 142, "9999404549598694": 142, "9999420046806335": 142, "9999434351921082": 142, "999944": 129, "9999502301216125": 142, "9999571442604065": 142, "9999579787254333": 142, "9999697804450989": 142, "999973": 129, "9999744296073914": 142, "9999827742576599": 142, "9999969601631165": 142, "99it": 134, "99m": 134, "9ac71e198d75b1427182cd34abb73e4d": 129, "9bd3": 142, "9c9e4d617d306751760a80f1453e71f1": 129, "9dbcf7566e40965dd7f8a186a75a718": 129, "9e3ed4d1e497bfdce4472ee70455edef": 129, "9e5912df6f7b11706d1046cdb9e3087": 129, "9f352fbc32bb2b8caf4788aba28b2eb7": 129, "9fed845aaab8fb4bf85e3a8db57796e0": 129, "9g": 129, "9it": 134, "A": [9, 17, 32, 80, 81, 98, 100, 121, 122, 129, 131, 132, 133, 134, 137, 138, 141, 142, 146, 147, 148, 149, 154, 155, 158], "AND": [32, 98, 137, 147], "AS": [32, 98, 137, 147], "ASE": [9, 11, 19, 25, 26, 121, 122, 129, 133, 147, 148, 149, 151, 154, 158], "And": 154, "As": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 134, 138, 142, 147, 150, 151, 153, 154], "At": [132, 141, 147, 149, 153], "BE": [32, 98, 137, 147], "BUT": [32, 98, 137, 147], "Be": 151, "But": [54, 55, 67, 68, 133, 156], "By": [98, 132, 140, 147, 154], "FOR": [32, 98, 137, 147], "For": [1, 17, 19, 25, 27, 28, 39, 40, 43, 48, 49, 94, 117, 129, 130, 131, 132, 133, 138, 139, 140, 141, 142, 146, 147, 149, 151, 153, 154, 156], "IN": [32, 98, 137, 147], "If": [4, 8, 11, 14, 17, 19, 25, 36, 38, 43, 49, 54, 55, 57, 59, 67, 68, 70, 72, 80, 81, 84, 86, 97, 98, 100, 110, 119, 128, 129, 133, 134, 138, 140, 141, 142, 146, 147, 148, 149, 151, 153, 154, 156], "In": [1, 19, 25, 59, 61, 72, 74, 83, 86, 98, 129, 130, 132, 133, 134, 138, 140, 141, 142, 147, 148, 149, 151, 153, 156, 157, 158], "InS": 142, "It": [4, 19, 54, 55, 67, 68, 83, 128, 132, 133, 134, 146, 147, 149, 151, 153, 154, 156, 157], "NO": [32, 98, 129, 137, 142, 147], "NOT": [32, 98, 137, 147], "No": [80, 81, 132, 133, 134, 144, 147, 151, 153, 154], "Not": [19, 25, 133], "OF": [32, 98, 137, 147], "OR": [32, 98, 137, 147], "On": [36, 38, 51, 52, 101, 103, 140, 142, 157], "One": [129, 147, 156, 157], "Or": 141, "Such": 1, "THE": [32, 98, 137, 147], "TO": [32, 98, 137, 147, 149], "That": [132, 134, 154, 156], "The": [1, 4, 9, 14, 17, 19, 25, 26, 27, 28, 32, 36, 38, 39, 40, 45, 46, 49, 51, 52, 83, 98, 100, 101, 103, 110, 121, 122, 126, 127, 128, 129, 130, 131, 132, 135, 137, 139, 140, 141, 142, 146, 147, 148, 149, 151, 153, 154, 156, 157, 158], "Then": [4, 132, 133, 135, 151, 153, 158], "There": [4, 19, 25, 128, 132, 133, 141, 147, 153, 154, 158], "These": [9, 94, 128, 129, 132, 133, 141, 147, 151, 153, 158], "To": [4, 25, 26, 27, 33, 34, 37, 119, 128, 129, 130, 134, 140, 141, 144, 145, 147, 148, 149, 151, 153, 156, 157, 158, 159], "WITH": [32, 98, 137, 147], "With": [40, 133, 138, 147, 151], "_": [98, 100, 133, 134, 151, 154, 156], "__array__": 156, "__array_interface__": 156, "__array_struct__": 156, "__call__": [1, 14, 17, 48, 120], "__enter__": [25, 26], "__exit__": [25, 26], "__file__": 151, "__getitem__": [19, 25, 27, 28], "__getitems__": [25, 27], "__import_error": 8, "__init__": [1, 31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 133, 147], "__iter__": 1, "__len__": [1, 19, 25, 27, 28], "__repr__": [14, 40, 41, 44, 97, 98], "__version__": 30, "_avg_degre": 36, "_avg_num_nod": 36, "_ax": 156, "_backward": [125, 126], "_backward_hook": 133, "_backward_pre_hook": 133, "_calc": 133, "_call_impl": 133, "_check_consist": 117, "_compiled_call_impl": 133, "_compute_loss": [126, 127], "_compute_metr": [126, 127], "_contextlib": 133, "_create_warning_msg": 147, "_data_parallel_group": 4, "_enforce_consist": [116, 117], "_error_msg": [116, 117], "_expand_edg": [44, 53], "_forward": [32, 100, 126, 127, 133], "_forward_help": [101, 103], "_forward_hook": 133, "_forward_pre_hook": 133, "_from_grid": [44, 53], "_gather": 4, "_gather_with_pad": 4, "_get_absolute_map": 8, "_get_neighbors_pymatgen": [121, 122], "_get_paramet": 110, "_get_project_root": 17, "_get_row": [25, 26], "_get_row_by_index": [25, 26], "_get_timestamp": [125, 126], "_global_backward_hook": 133, "_global_backward_pre_hook": 133, "_global_forward_hook": 133, "_global_forward_pre_hook": 133, "_graph_parallel_group": 4, "_grid_act": [44, 53], "_h": 151, "_hasmetadata": 1, "_i": [98, 100, 133], "_import_local_fil": 17, "_incompatiblekei": 17, "_init_edge_rot_mat": [36, 38, 51, 52, 101, 103], "_init_weight": [36, 38], "_initi": 53, "_j": [98, 100], "_jd": [50, 53, 105], "_l_primari": [44, 53], "_load_dataset": 1, "_load_dataset_get_id": [19, 25], "_load_id": [25, 26], "_load_scale_dict": 114, "_local_metadata": [116, 117], "_m_primari": [44, 53], "_missing_kei": [116, 117], "_new_shar": [147, 157], "_nextid": [25, 26], "_nnh": 151, "_observ": [116, 117], "_pred": 133, "_predict": 141, "_prefilled_input": 115, "_process_error": [123, 124, 157], "_rank_edge_dist": [101, 103], "_reduc": 4, "_reduce_edg": [44, 53], "_report_incompat_kei": 17, "_reshape_featur": [121, 122], "_resolve_scale_factor_submodul": 17, "_rotat": [44, 53], "_rotate_inv": [44, 53], "_select": [25, 26], "_split": 4, "_split_tensor": 4, "_standard": [56, 69, 82], "_stat": [116, 117], "_stats_mstats_common": 151, "_strict": [116, 117], "_t": 16, "_train_batch": 115, "_unexpected_kei": [116, 117], "_uniform_init_linear_weight": [36, 38], "_uniform_init_rad_func_linear_weight": [36, 38], "_unwrapped_model": [125, 126, 156], "_updat": [25, 26], "_util": [0, 25, 30], "_wrapped_call_impl": 133, "_write": [25, 26], "_write_deleted_id": [25, 26], "_z_rot_mat": [50, 53, 105], "a0": 156, "a0ad77f9b1fda1155e958d536cd3c78cb3beb4c8211083009c2a3153d6982f97": 134, "a193b4c72f915ba0b21a41790696b23c": 129, "a21081f3f55eb0c98a91021bbe3dac44": 129, "a2a_graph": [80, 81, 91, 133], "a2ee2a_graph": [80, 81, 91, 133], "a2g": [133, 138, 147, 148], "a2g_arg": [19, 25, 128, 132, 134, 157], "a405ce403018bf8afbd4425d5c0b34d5": 129, "a_0": [64, 77, 92], "aa": [132, 156], "ab": [97, 98, 132, 134, 139, 142], "abc": [7, 17, 19, 109, 110, 121, 122, 125, 126], "abhishek": [129, 130, 131, 139, 142, 146, 147], "abhshkdz": 147, "abl": [132, 133, 157], "about": [83, 128, 129, 130, 132, 134, 138, 144, 147, 151, 153, 154, 156, 159], "abov": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 129, 134, 135, 137, 138, 139, 141, 142, 147, 148, 149, 153, 154, 156, 157, 158], "absolut": [15, 17, 132, 147, 149], "abstract": [7, 19, 25, 27, 31, 32, 124, 125, 126], "ac": [129, 130, 132, 139, 146, 147, 151], "ac84": 142, "accedingsequencelengthbatchsampl": 1, "accedingsequencelengthsampl": 1, "acceler": [98, 143, 147, 158], "accept": [4, 25, 27, 33, 34, 37], "acces": 147, "access": [141, 142, 147, 154, 156, 157], "accompani": [98, 130], "accord": [56, 69, 82, 132, 147, 149], "accordingli": [129, 141, 147], "account": [100, 121, 122, 147, 153], "accumul": [132, 156, 158], "accur": [132, 133, 147], "accuraci": [132, 147, 149], "achiev": [9, 147], "across": [36, 38, 40, 129, 141, 147, 151], "acscat": [129, 139, 146, 151], "act": [1, 8, 32, 41, 44, 51, 53, 103, 106, 107], "action": [32, 98, 137, 147], "activ": [0, 30, 32, 36, 38, 49, 51, 54, 55, 57, 58, 61, 63, 67, 68, 70, 71, 74, 76, 80, 81, 84, 85, 88, 91, 95, 108, 132, 135, 140, 141, 147, 151, 156, 157, 158], "active_discoveri": 8, "activediscoverytrain": 8, "actual": [129, 147, 156], "ad": [80, 81, 84, 129, 130, 138, 141, 147, 149, 150, 151, 153], "adamw": [132, 147, 157], "adapt": [17, 66, 79, 94, 99, 156, 158], "add": [19, 34, 36, 38, 41, 44, 54, 55, 67, 68, 80, 81, 97, 98, 100, 129, 132, 142, 147, 151, 153, 154], "add_additional_inform": 134, "add_adsorb": [133, 138, 144, 147, 148, 149, 153], "add_core_arg": 3, "add_edge_distance_to_graph": 17, "addfilt": 157, "addhandl": 157, "addit": [19, 25, 36, 38, 98, 128, 129, 132, 138, 142, 149, 150, 153, 154], "addition": [17, 138, 147, 150], "address": [19, 25, 128, 147], "adeesh": [130, 139, 147], "adequ": 154, "adj_edg": 83, "adjac": 83, "adjust": 132, "ado": 132, "adopt": 147, "adorb": 142, "adosrb": 130, "ads_id": 129, "ads_len": 154, "ads_symbol": [129, 130], "adslab": [138, 142, 147, 148, 149, 151, 154], "adslab_filt": 142, "adsorb": [80, 81, 130, 138, 139, 140, 141, 144, 147, 148, 149, 152, 153, 158], "adsorbate_binding_index": 154, "adsorbate_db_path": 151, "adsorbate_h": 151, "adsorbate_info": [147, 149], "adsorbate_nnh": 151, "adsorbate_reference_energi": [147, 149], "adsorbate_smil": 154, "adsorbate_smiles_from_db": [151, 154], "adsorbate_smiles_h": 151, "adsorbate_smiles_nnh": 151, "adsorbatebindingsit": 142, "adsorbates_support": 142, "adsorbateslabconfig": [151, 154], "adsorbateslabrelax": 142, "adsorbateslabrelaxationresult": 142, "adsorbml": [142, 146, 151], "adsorbml_walkthrough": 145, "adsorbt": 149, "adsorpt": [129, 130, 133, 138, 139, 140, 141, 142, 149, 151, 158], "adsorption_energi": [147, 149], "adsorption_sit": 129, "advanc": [145, 147, 157], "advantag": [141, 147, 154], "advis": [19, 25, 132], "aecc5e23542de49beceb4b7e44c153b9": 129, "aed414cdd240fbb5670b5de6887a138b": 129, "affect": [110, 129, 147, 148, 151, 153], "affili": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 137], "affin": [21, 40], "after": [32, 36, 38, 49, 54, 55, 61, 63, 66, 67, 68, 74, 76, 79, 80, 81, 84, 88, 91, 94, 99, 110, 133, 135, 140, 141, 142, 151, 154, 156], "ag": [132, 134, 142, 153, 157], "ag13ga5": 142, "ag16ca6n": 142, "ag2": 142, "ag2al7ca3": 142, "ag2ali": 142, "ag2alsc": 142, "ag2aucd": 142, "ag2ca": 142, "ag2cage2": 142, "ag2cain": 142, "ag2casn": 142, "ag2cdi": 142, "ag2cdsc": 142, "ag2cdzn": 142, "ag2cdzr": 142, "ag2cl3": 142, "ag2ges3": 142, "ag2gese3": 142, "ag2hfs3": 142, "ag2hgs2": 142, "ag2i": 142, "ag2ini": 142, "ag2inna": 142, "ag2insc": 142, "ag2k": 142, "ag2na": 142, "ag2nasn": 142, "ag2p2si": 142, "ag2pdcl4": 142, "ag2recl6": 142, "ag2s": 142, "ag2s3t": 142, "ag2sc": 142, "ag2sn2sr": 142, "ag2sr": 142, "ag2sr3": 142, "ag2srge2": 142, "ag2srsi2": 142, "ag2t": 142, "ag2tli": 142, "ag2ws4": 142, "ag2zr": 142, "ag36pd12": 151, "ag3al": 142, "ag3ass3": 142, "ag3ass4": 142, "ag3asse3": 142, "ag3au": 142, "ag3aus2": 142, "ag3ause2": 142, "ag3aute2": 142, "ag3bi7s12": 142, "ag3ca": 142, "ag3ca4zn": 142, "ag3ca5": 142, "ag3ca6ge5": 142, "ag3cd": 142, "ag3css2": 142, "ag3csse2": 142, "ag3cste2": 142, "ag3cu": [142, 151], "ag3cus2": 142, "ag3ga": 142, "ag3ga8y3": 142, "ag3ge5p6": 142, "ag3hg": 142, "ag3i": 142, "ag3in": 142, "ag3k3as2": 142, "ag3kse2": 142, "ag3kte2": 142, "ag3mo": [142, 151], "ag3na": 142, "ag3nas2": 142, "ag3p11": 142, "ag3pd": [142, 151], "ag3pd2sr": 142, "ag3ps4": 142, "ag3pse4": 142, "ag3rbs2": 142, "ag3s3sb": 142, "ag3sc": 142, "ag3sn": 142, "ag3snp7": 142, "ag3tls2": 142, "ag3ycl6": 142, "ag3zn": 142, "ag4al": 142, "ag4ca3sr": 142, "ag4casr3": 142, "ag4k2s3": 142, "ag4k2se3": 142, "ag4p2s7": 142, "ag4sc": 142, "ag4sn4y3": 142, "ag4srsb2": 142, "ag4y3ge4": 142, "ag5al5sr2": 142, "ag5cd8": 142, "ag5s4sb": 142, "ag5sr": 142, "ag5zn8": 142, "ag6snsb": 142, "ag7ca2": 142, "ag7nbs6": 142, "ag7tas6": 142, "ag8ca3": 142, "ag8gese6": 142, "ag8gete6": 142, "ag8snse6": 142, "ag9als6": 142, "again": [132, 147], "agal": 142, "agal3ca": 142, "agal3hf2": 142, "agal3i": 142, "agal3sr": 142, "agal5s8": 142, "agals2": 142, "agalsc2": 142, "agalse2": 142, "agalte2": 142, "agaly2": 142, "agass": 142, "agass2": 142, "agasse2": 142, "agau": 142, "agau2cd": 142, "agau2in": 142, "agau2pd": 142, "agau2s2": 142, "agau3": 142, "agau4te10": 142, "agauca2": 142, "agaucd2": 142, "agaucl4": 142, "agaupd2": 142, "agaus2": 142, "agausc2": 142, "agaute4": 142, "agauzn2": 142, "agbi3s5": 142, "agbica": 142, "agbik2": 142, "agbipd2": 142, "agbis2": 142, "agbise2": 142, "agbisr": 142, "agbite2": 142, "agca": 142, "agca2cu": 142, "agca2g": 142, "agca2ga": 142, "agca2ga7": 142, "agca2pb": 142, "agca2pd": 142, "agca2pd2": 142, "agca2rh": 142, "agca2si3": 142, "agca2sn": 142, "agca2zn3": 142, "agcaa": 142, "agcag": 142, "agcahg2": 142, "agcap": 142, "agcapb": 142, "agcasb": 142, "agcazn": 142, "agcd": 142, "agcd2na": 142, "agcd2pt": 142, "agcd2rh": 142, "agcd3": 142, "agcdpd2": 142, "agcdsc2": 142, "agcl": 142, "agcr2s4": 142, "agcrs2": 142, "agcrse2": 142, "agcrte2": 142, "agcscl2": 142, "agcscl3": 142, "agcsse4": 142, "agcu": 142, "agcu3": [142, 151], "agcu4sr": 142, "agcu4zr": 142, "agcus": 142, "agcute2": 142, "agcuti4": 142, "agg": [147, 149], "agg2_out_s": [87, 91], "agga2hf": 142, "agga3y2": 142, "agga40mo8": 142, "aggai": 142, "aggas2": 142, "aggasc2": 142, "aggase2": 142, "aggate2": 142, "aggay2": 142, "aggr": 98, "aggr_kwarg": 98, "aggreg": [39, 51, 54, 55, 57, 67, 68, 70, 80, 81, 83, 84, 87, 98, 100, 101, 103, 105, 140], "aghf": 142, "aghf2": 142, "aghf3": [142, 151], "aghf4pd": 142, "aghg2i": 142, "aghgpd2": 142, "aghgsc2": 142, "aghgy2": 142, "agin2na3": 142, "agin2se4": 142, "agin5s8": 142, "agin5se8": 142, "agin5te8": 142, "agins2": 142, "aginsc2": 142, "aginse2": 142, "aginte2": 142, "agirsc2": 142, "agiry2": 142, "agk2a": 142, "agk2p": 142, "agk2sb": 142, "agkcl3": 142, "agks": 142, "agmo3": [142, 151], "agmo6cl13": 142, "agmo6s8": 142, "agmo6se8": 142, "agmo6te6": 142, "agna2a": 142, "agna2sb": 142, "agna3": 142, "agna3s2": 142, "agna4cl5": 142, "agnb2s4": 142, "agnb4s8": 142, "agnb6se8": 142, "agnise2": 142, "ago": 158, "agossc2": 142, "agp2": 142, "agpbi": 142, "agpd": 142, "agpd2zn": 142, "agpd3": 142, "agpd3zr8": 142, "agpd5p": 142, "agps3": 142, "agpt": 142, "agpt4": 142, "agpt5p": 142, "agpt5si": 142, "agptsc2": 142, "agptsr2": 142, "agrbcl3": 142, "agreement": [132, 153], "agrusc2": 142, "agruy2": 142, "ags2sb": 142, "agsbse2": 142, "agsbte2": 142, "agsc": 142, "agsc2tc": 142, "agsc2tl": 142, "agsc2zn": 142, "agscg": 142, "agscs2": 142, "agscse2": 142, "agsczn2": 142, "agsn2i": 142, "agsni": 142, "agsns2": 142, "agsnse2": 142, "agsnte2": 142, "agsr": 142, "agsra": 142, "agsrg": 142, "agsrp": 142, "agta2s4": 142, "agta3": [142, 151], "agta4s8": 142, "agtas3": 142, "agte3": 142, "agti": 142, "agti2": 142, "agti3s6": 142, "agti6s12": 142, "agtl": 142, "agtl3te2": 142, "agtlcl3": 142, "agtls": 142, "agtlt": 142, "agtly2": 142, "agy2zn": 142, "agyg": 142, "agys2": 142, "agysb2": 142, "agyse2": 142, "agysi": 142, "agyte2": 142, "agzn": 142, "agzn2": 142, "agzn3": 142, "agzr": 142, "agzr2": 142, "agzr2n3": 142, "agzr5sb3": 142, "ahead": 147, "ai": [147, 150], "aim": 147, "aini": [129, 139, 142, 146, 147], "air": 146, "aka": 156, "akiai266r7v6o36o5jua": 134, "akolluru": 147, "al": [97, 98, 142, 147, 151], "al10cacr2": 142, "al10mn3": 142, "al11cr4": 142, "al11mn4": 142, "al11niti4": 142, "al11re4": 142, "al11ti4zn": 142, "al11ti5": 142, "al11zr4si": 142, "al12fe7": 142, "al12femn": 142, "al12mn": 142, "al12mo": 142, "al12nbzr3": 142, "al12r": 142, "al12ta17": 142, "al12tc": 142, "al12w": 142, "al13cr4si4": 142, "al13cu3s24": 142, "al13os4": 142, "al13ru4": 142, "al14ca13": 142, "al14cu3s24": 142, "al14cu3se24": 142, "al15ni3ge4": 142, "al15rh7ti8": 142, "al16co7hf6": 142, "al16co7ti6": 142, "al16hf6os7": 142, "al16ir7zr6": 142, "al16ni7ti6": 142, "al16pt7ti6": 142, "al16rh7ti6": 142, "al17mo4": 142, "al17pd8si4": 142, "al21pd8": 142, "al21pt8": 142, "al24crmn": 142, "al2au": 142, "al2au2sr": 142, "al2au3sr": 142, "al2bis4": 142, "al2bise4": 142, "al2c3n6": 142, "al2ca": 142, "al2ca3as4": 142, "al2ca3ge2": 142, "al2ca3ge3": 142, "al2ca3n4": 142, "al2ca3p4": 142, "al2ca3si2": 142, "al2ca5sb6": 142, "al2caga2": 142, "al2cage2": 142, "al2cah8": 142, "al2cas4": 142, "al2case4": 142, "al2casi2": 142, "al2casn2": 142, "al2cazn2": 142, "al2cdcl8": 142, "al2cds4": 142, "al2cdse4": 142, "al2cdte4": 142, "al2co15y2": 142, "al2cocl8": 142, "al2cof": 142, "al2cohf6": 142, "al2coi": 142, "al2coir": 142, "al2comn": 142, "al2coni": 142, "al2coo": 142, "al2coru": 142, "al2cr3mn": 142, "al2crs4": 142, "al2cu": 142, "al2cu3se6": 142, "al2cucl8": 142, "al2cuir": 142, "al2cumn": 142, "al2cupd": 142, "al2fe3si3": 142, "al2fe3si4": 142, "al2fehf6": 142, "al2feni": 142, "al2ferh": 142, "al2fezr6": 142, "al2ga2sr": 142, "al2gan3": 142, "al2hf": 142, "al2hf3": 142, "al2hf6pt": 142, "al2hfzn": 142, "al2hgs4": 142, "al2hgse4": 142, "al2hgte4": 142, "al2i": 142, "al2in4sr3": 142, "al2inn3": 142, "al2iro": 142, "al2irrh": 142, "al2irru": 142, "al2k3as3": 142, "al2mn3v3": 142, "al2mn5v": 142, "al2mnni": 142, "al2mns4": 142, "al2mntc": 142, "al2mnte4": 142, "al2mo3c": 142, "al2mo3nb3": 142, "al2mo3si4": 142, "al2na2as3": 142, "al2na2sb3": 142, "al2na7sb5": 142, "al2nb3n": 142, "al2nbni9": 142, "al2nbti3": 142, "al2ni3": 142, "al2ni9pd": 142, "al2ni9ta": 142, "al2nii": 142, "al2nio": 142, "al2nipt": 142, "al2niru": 142, "al2nisc": 142, "al2osrh": 142, "al2p3s9": 142, "al2pbs4": 142, "al2pbse4": 142, "al2pd": 142, "al2pd5i": 142, "al2pdru": 142, "al2pdtc": 142, "al2pt": 142, "al2ptru": 142, "al2rb4s5": 142, "al2rhru": 142, "al2ru": 142, "al2s3": 142, "al2sc": 142, "al2se3": 142, "al2sn2sr3": 142, "al2sr": 142, "al2sr3as4": 142, "al2sr3ge2": 142, "al2sr3ge4": 142, "al2sr3n4": 142, "al2sr3p4": 142, "al2sr3si2": 142, "al2srcl8": 142, "al2srge2": 142, "al2srh2": 142, "al2srs4": 142, "al2srse4": 142, "al2srsi2": 142, "al2srte4": 142, "al2te3": 142, "al2te5": 142, "al2ti": 142, "al2ti5c3": 142, "al2ticl8": 142, "al2tiv": 142, "al2tizn": 142, "al2w": 142, "al2y3": 142, "al2yge2": 142, "al2yn3": 142, "al2ysi2": 142, "al2zn2s5": 142, "al2zn3s6": 142, "al2zns4": 142, "al2znse4": 142, "al2znte4": 142, "al2znzr": 142, "al2zr": 142, "al2zrsi": 142, "al3auca": 142, "al3auhf2": 142, "al3bi5cl12": 142, "al3ca3n5": 142, "al3ca8": 142, "al3co": 142, "al3co3si4": 142, "al3cohf2": 142, "al3cozr2": 142, "al3cr": 142, "al3cr8zn": 142, "al3crzr2": 142, "al3cu": 142, "al3cu2": 142, "al3cuhf2": 142, "al3f": 142, "al3fe14y2": 142, "al3fesi2": 142, "al3ga3nb2": 142, "al3gan4": 142, "al3ganb12": 142, "al3hf": 142, "al3hf10si3": 142, "al3hf2": 142, "al3hf2ni": 142, "al3hf2pd": 142, "al3hf2zn": 142, "al3hf4": 142, "al3hf5": 142, "al3hf5n": 142, "al3hfni12": 142, "al3i": 142, "al3innb12": 142, "al3insr2": 142, "al3ir": 142, "al3irnb2": 142, "al3mn2": 142, "al3mo": 142, "al3mo12si": 142, "al3mo8s16": 142, "al3na5h14": 142, "al3nb": 142, "al3nb12g": 142, "al3nbzr4": 142, "al3ni": 142, "al3ni12zn": 142, "al3ni2": 142, "al3ni2pt": 142, "al3ni5": 142, "al3nizr2": 142, "al3os2": 142, "al3pd2": 142, "al3pd4g": 142, "al3pd4si": 142, "al3pd5": 142, "al3pt2": 142, "al3pt5": 142, "al3ru2": 142, "al3rusc2": 142, "al3sc": 142, "al3sr2g": 142, "al3sr3n5": 142, "al3ta": 142, "al3ta5": 142, "al3tc": 142, "al3ti": 142, "al3ti20si9": 142, "al3v": 142, "al3w2g": 142, "al3y2si2": 142, "al3y5": 142, "al3znzr2": 142, "al3zr": 142, "al3zr2": 142, "al3zr4": 142, "al3zr5": 142, "al45cr7": 142, "al45v7": 142, "al4c3": 142, "al4ca": 142, "al4casr": 142, "al4crni15": 142, "al4cu15": 142, "al4cu9": 142, "al4fe8i": 142, "al4gasb5": 142, "al4mn11v": 142, "al4mn3si2": 142, "al4mn9v3": 142, "al4mo": 142, "al4mo3si2": 142, "al4ni15": 142, "al4ni15g": 142, "al4ni15sb": 142, "al4ni15ta": 142, "al4ni15ti": 142, "al4ni15v": 142, "al4ni3pt": 142, "al4nii": 142, "al4pdsi": 142, "al4sr": 142, "al4ta11": 142, "al4tc": 142, "al4w": 142, "al4w3ge2": 142, "al4zns7": 142, "al4zr5": 142, "al5c3n": 142, "al5co2": 142, "al5cu7zr": 142, "al5cumo2": 142, "al5cus8": 142, "al5cuse8": 142, "al5cuw2": 142, "al5feni": 142, "al5hfni2": 142, "al5mo": 142, "al5ni2zr": 142, "al5re24": 142, "al5rh2": 142, "al5s8": 142, "al5ti3": 142, "al5w": 142, "al6c3n2": 142, "al6cocu3": 142, "al6cu6i": 142, "al6fe6hf": 142, "al6fe6i": 142, "al6fe6sc": 142, "al6mn": 142, "al6mn6i": 142, "al6mn6zr": 142, "al6monb": 142, "al6moti": 142, "al6mozr": 142, "al6nbta": 142, "al6nbzr": 142, "al6r": 142, "al6ru": 142, "al6tati": 142, "al6tc": 142, "al6wg": 142, "al7c3n3": 142, "al7ca3cu2": 142, "al7cocu2": 142, "al7cu2f": 142, "al7cu2y3": 142, "al7cu5i": 142, "al7sr2g": 142, "al7tl3s12": 142, "al8caco2": 142, "al8cacu4": 142, "al8cafe4": 142, "al8camn4": 142, "al8casr3": 142, "al8cr4i": 142, "al8cr4si3": 142, "al8cr5": 142, "al8cu4i": 142, "al8fe4hf": 142, "al8fe4i": 142, "al8fe4sc": 142, "al8fe4zr": 142, "al8fe5": 142, "al8mn4i": 142, "al8mn4sc": 142, "al8mn5": 142, "al8mo3": 142, "al8v5": 142, "al9caco2": 142, "al9camn3": 142, "al9cani": 142, "al9co2": 142, "al9co2sr": 142, "al9co3sc2": 142, "al9co3y2": 142, "al9cr3si": 142, "al9fe2": 142, "al9fe3i": 142, "al9ir3y2": 142, "al9mn3si": 142, "al9nb3ti4": 142, "al9pd3y2": 142, "al9sr5": 142, "ala": 142, "alau": 142, "alau2": 142, "alau2cu": 142, "alau2hf": 142, "alau2hf3": 142, "alau2i": 142, "alau2mn": 142, "alau2sc": 142, "alau2ti": 142, "alau2v9": 142, "alau2zr": 142, "alau3": 142, "alau4": 142, "alauca": 142, "alaui": 142, "alausc": 142, "alauti": 142, "albicl6": 142, "alca2pd2": 142, "alca2pt2": 142, "alca2zn16": 142, "alca3as3": 142, "alca3n3": 142, "alca3sb3": 142, "alcaga": 142, "alcah5": 142, "alcapd": 142, "alcapt": 142, "alcasi": 142, "alcdcl4": 142, "alcdsc2": 142, "alcdy2": 142, "alcl3": 142, "alcl7": 142, "alco": 142, "alco2cr": 142, "alco2f": 142, "alco2ga": 142, "alco2hf": 142, "alco2mn": 142, "alco2nb": 142, "alco2sc": 142, "alco2si2": 142, "alco2ta": 142, "alco2ti": 142, "alco2v": 142, "alco2zr": 142, "alco3": 142, "alco3c": 142, "alco3sc2": 142, "alco3y2": 142, "alco4i": 142, "alco4zr": 142, "alco8nb3": 142, "alco8ta3": 142, "alco8zr3": 142, "alcohf": 142, "alcoi": 142, "alcomn2": 142, "alconb": 142, "alconi6": 142, "alcosc": 142, "alcozr": 142, "alcr2": 142, "alcr2c": 142, "alcr6si": 142, "alcr8nb3": 142, "alcr8ta3": 142, "alcrfe2": 142, "alcrg": 142, "alcrhf": 142, "alcrmn2": 142, "alcrnb": 142, "alcrru2": 142, "alcrti": 142, "alcrti2": 142, "alcrzr": 142, "alcs3cl6": 142, "alcs3te3": 142, "alcscl4": 142, "alcste3": 142, "alcu": 142, "alcu2hf": 142, "alcu2mn": 142, "alcu2sc": 142, "alcu2ti": 142, "alcu2zn": 142, "alcu3": 142, "alcu4": 142, "alcucl4": 142, "alcuhf": 142, "alcui": 142, "alcuni6": 142, "alcupd2": 142, "alcupt2": 142, "alcurh2": 142, "alcus2": 142, "alcusc": 142, "alcusc2": 142, "alcuse2": 142, "alcuta": 142, "alcute2": 142, "alcuti": 142, "alcuzr": 142, "alert": 133, "alf": 142, "alfe2g": 142, "alfe2hf": 142, "alfe2mn": 142, "alfe2mo": 142, "alfe2nb": 142, "alfe2si": 142, "alfe2ta": 142, "alfe2ti": 142, "alfe2v": 142, "alfe2w": 142, "alfe3": 142, "alfe3c": 142, "alfe3h": 142, "alfe3y2": 142, "alfe3zr2": 142, "alfe4": 142, "alfe4nb": 142, "alfe4ta": 142, "alfe8nb3": 142, "alfe8ta3": 142, "alfehf": 142, "alfei": 142, "alfeir2": 142, "alfenb": 142, "alferh2": 142, "alfeta": 142, "alfeti": 142, "alfezr": 142, "alga3n4": 142, "alga3sr2": 142, "algaas2": 142, "algacl4": 142, "algair2": 142, "algan2": 142, "alganb6": 142, "algani2": 142, "algani6": 142, "algap2": 142, "algaru2": 142, "algasb2": 142, "algasr": 142, "algav6": 142, "algorithm": [134, 146, 147], "alh3": 142, "alhf": 142, "alhf2": 142, "alhf2si": 142, "alhf3": 142, "alhf3ge5": 142, "alhf3n": 142, "alhf4si": 142, "alhfir": 142, "alhfir2": 142, "alhfmn": 142, "alhfmo": 142, "alhfni": 142, "alhfni2": 142, "alhfpd": 142, "alhfpd2": 142, "alhfpt": 142, "alhfpt2": 142, "alhfrh": 142, "alhfrh2": 142, "alhfru2": 142, "alhfzn": 142, "ali": 142, "alin2n3": 142, "alin3sr2": 142, "alincl4": 142, "alinn2": 142, "alins3": 142, "alinsb2": 142, "alinse3": 142, "alinsr": 142, "alir2mn": 142, "alir2sc": 142, "alir2ti": 142, "alir2zn": 142, "alirsc2": 142, "alirzr": 142, "alk3cl6": 142, "alk3h6": 142, "alk3se3": 142, "alkcl4": 142, "alkh4": 142, "alksb4": 142, "alkse2": 142, "alkte2": 142, "all": [1, 4, 9, 15, 17, 19, 25, 26, 27, 31, 32, 33, 34, 36, 37, 38, 40, 41, 43, 44, 49, 51, 54, 55, 58, 67, 68, 71, 80, 81, 83, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 128, 129, 130, 131, 132, 133, 134, 137, 139, 140, 141, 144, 146, 147, 148, 149, 152, 153, 154, 156, 157, 158], "all_gath": 2, "all_reduc": 2, "alloc": 133, "alloi": 152, "allow": [17, 19, 25, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 94, 98, 103, 104, 106, 107, 112, 116, 117, 132, 147, 148, 153, 157], "allow_calcul": 133, "allow_pickl": 134, "almn": 142, "almn2nb": 142, "almn2r": 142, "almn2s4": 142, "almn2ta": 142, "almn2ti": 142, "almn2v": 142, "almn2w": 142, "almn3": 142, "almn3c": 142, "almn8nb3": 142, "almn8ta3": 142, "almn8zr3": 142, "almng": 142, "almni": 142, "almnni2": 142, "almnos2": 142, "almnpd2": 142, "almnpt": 142, "almnpt2": 142, "almnrh2": 142, "almnru2": 142, "almnti": 142, "almnti2": 142, "almnv2": 142, "almnzr": 142, "almo2ge3": 142, "almo3": 142, "almo4s8": 142, "almo6si": 142, "almog": 142, "almosi": 142, "almoti2": 142, "almozr": 142, "aln": 142, "alna3as2": 142, "alna3h6": 142, "alna3p2": 142, "alna3s3": 142, "alna3se3": 142, "alna3te3": 142, "alnacl4": 142, "alnag": 142, "alnah4": 142, "alnase2": 142, "alnasi": 142, "alnate2": 142, "alnb2": 142, "alnb2c": 142, "alnb3": 142, "alnb3c2": 142, "alnb4": 142, "alnb4c3": 142, "alnb6g": 142, "alnb6sb": 142, "alnb6si": 142, "alnb6sn": 142, "alnbni2": 142, "alnbos2": 142, "alnbru2": 142, "alnbti2": 142, "alnbzn": 142, "alni": 142, "alni12pt3": 142, "alni12ti3": 142, "alni2": 142, "alni2sc": 142, "alni2si": 142, "alni2ta": 142, "alni2ti": 142, "alni2v": 142, "alni2y2": 142, "alni2zr": 142, "alni3": 142, "alni4as3": 142, "alni4zr5": 142, "alni6g": 142, "alni6pd": 142, "alni6ta": 142, "alnig": 142, "alnisc": 142, "alo": 142, "along": [36, 38, 39, 49, 98, 130, 131, 138, 147], "alos2ta": 142, "alos2ti": 142, "alossc2": 142, "aloszr": 142, "alp": 142, "alp3si": 142, "alpb3zr5": 142, "alpd": 142, "alpd2": 142, "alpd2i": 142, "alpd2ti": 142, "alpd2zr": 142, "alpd3": 142, "alpd4p": 142, "alpd5": 142, "alpdi": 142, "alpdzr": 142, "alpha": [13, 36, 38, 49, 50, 53, 105, 132, 141, 147], "alpha_drop": [36, 38, 49], "alps4": 142, "alpt2": 142, "alpt2sc": 142, "alpt3": 142, "alpt5a": 142, "alpt5p": 142, "alpt6si": 142, "alpti": 142, "alptti": 142, "alptzr": 142, "alr": 142, "alrb3cl6": 142, "alrbcl4": 142, "alrbh4": 142, "alre2": 142, "alreadi": [95, 96, 128, 133, 142, 146, 153, 157], "alreg": 142, "alreti2": 142, "alrh2sc": 142, "alrh2ti": 142, "alrh2zn": 142, "alrh2zr": 142, "alrh3": 142, "alrhzr": 142, "alru": 142, "alru2g": 142, "alru2si": 142, "alru2ta": 142, "alru2ti": 142, "alru2v": 142, "alru2zr": 142, "alrusc2": 142, "alsb": 142, "alsc": 142, "alsc2": 142, "alsc2si2": 142, "alsc2tc": 142, "alsc2zn": 142, "alsc3": 142, "alscg": 142, "alsite3": 142, "alsn3v12": 142, "alsn3zr5": 142, "alsnv6": 142, "also": [4, 25, 27, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 128, 131, 132, 133, 134, 135, 139, 141, 142, 145, 147, 148, 153, 154, 156, 157, 158], "alsr2h7": 142, "alsr3sb3": 142, "alsrg": 142, "alsrh5": 142, "alsrsi": 142, "alta2": 142, "altasi": 142, "altazn": 142, "altc2": 142, "altcti2": 142, "altern": [134, 141, 142, 147, 149, 153, 154, 157], "although": [98, 128, 132, 141, 147], "alti": 142, "alti2c": 142, "alti2ge3": 142, "alti2n": 142, "alti2si3": 142, "alti2w": 142, "alti2zr": 142, "alti3": 142, "alti3c": 142, "alti3c2": 142, "alti3n": 142, "alti4ge7": 142, "alti4n3": 142, "altlcl4": 142, "altlse2": 142, "alv": 142, "alv12ge3": 142, "alv12si3": 142, "alv2": 142, "alv2c": 142, "alv3": 142, "alv4c3": 142, "alv4n3": 142, "alv4s8": 142, "alv6g": 142, "alv6sb": 142, "alvzr": 142, "alw2si3": 142, "alwai": [1, 97, 98], "aly2": 142, "aly2ge3": 142, "aly2si2": 142, "aly2zn": 142, "aly3": 142, "aly4ge8": 142, "alyg": 142, "alysi": 142, "alyzn": 142, "alzr": 142, "alzr2": 142, "alzr2n": 142, "alzr2si": 142, "alzr3": 142, "alzr3n": 142, "alzr5sb3": 142, "am": 154, "am4059149": 132, "amazonaw": 134, "ambigu": 133, "ammar": [130, 139], "ammonia": 147, "among": [142, 154], "amongst": [36, 38, 80, 81], "amount": 153, "amp": [45, 46, 89, 125, 126, 127, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "amsgrad": [132, 147, 157], "amz": 134, "an": [1, 4, 8, 15, 17, 19, 25, 27, 31, 32, 33, 34, 37, 40, 41, 43, 44, 51, 58, 71, 85, 92, 94, 98, 103, 104, 106, 107, 110, 112, 116, 117, 121, 122, 125, 126, 129, 130, 131, 132, 133, 134, 137, 138, 141, 142, 143, 144, 145, 146, 148, 149, 153, 154, 156, 157, 158], "analogi": 98, "analys": 151, "analysi": [129, 151, 157], "analyz": [141, 147, 151], "anatas": 132, "andrew": [131, 139, 147], "ang_mom": 17, "angl": [14, 50, 53, 54, 55, 63, 67, 68, 76, 80, 81, 91, 94, 105, 147], "angle_ab": 94, "angle_cab": 94, "angle_cabd": [80, 81, 133], "angstom": [121, 122], "angstrom": [36, 38, 51, 52, 54, 55, 64, 67, 68, 77, 80, 81, 92, 101, 103, 121, 122, 147, 156], "angular": 17, "ani": [1, 4, 9, 17, 19, 25, 27, 28, 32, 98, 129, 130, 131, 133, 137, 139, 140, 141, 142, 147, 148, 153, 157], "anim": 149, "anl": 153, "annoi": 157, "annot": 151, "announc": 146, "anom": [151, 154], "anomali": [129, 154], "anomol": [151, 154], "anoth": [133, 140, 147, 149, 156], "answer": [133, 140, 146], "anuroop": [129, 130, 131, 139, 146, 147], "anyth": 156, "apart": 147, "api": 142, "api_host": 142, "app": 135, "appear": [129, 158], "append": [45, 46, 98, 126, 127, 134, 147, 148, 151, 154, 156], "appl": 132, "appli": [4, 19, 25, 34, 100, 147, 149], "applic": [45, 46, 98, 126, 127, 138, 146, 147, 149, 156, 158], "apply_constraint": [13, 133, 147, 149], "apply_one_tag": [19, 25], "approach": [132, 134, 141, 144, 147, 151, 154, 158], "appropri": [17, 19, 25, 121, 122], "approxim": [36, 38, 51, 52, 101, 103, 147, 149], "apr": 158, "ar": [1, 4, 9, 17, 19, 25, 26, 27, 28, 33, 34, 36, 37, 38, 40, 41, 45, 46, 54, 55, 56, 59, 67, 68, 69, 72, 80, 81, 82, 83, 86, 97, 98, 110, 121, 122, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 139, 141, 142, 144, 146, 147, 149, 151, 153, 154, 156, 157, 158], "arbitrari": [4, 17, 138, 146, 147, 149], "arbitrarili": [36, 38, 80, 81], "arbitrarli": 148, "architectur": [140, 147, 158], "area": 147, "aren": 151, "arg": [4, 17, 19, 25, 26, 36, 38, 80, 81, 133, 147, 154, 157], "argpars": [3, 17], "args_overrid": [17, 157], "argsort": [1, 134], "argument": [1, 4, 17, 19, 25, 34, 44, 58, 59, 71, 72, 85, 86, 98, 100, 117, 128, 129, 132, 141, 144, 147, 148, 149, 151, 157], "argumentpars": 3, "ari": 156, "aris": [32, 98, 137, 147], "arosen93": 24, "around": [14, 100, 121, 122, 148, 156, 157, 158], "arrai": [121, 122, 132, 133, 134, 147, 149, 154, 156, 158], "arriv": [147, 149], "art": [146, 147, 153, 158], "articl": [129, 130, 131, 132, 139, 142, 146], "arxiv": [97, 98, 131, 139, 142, 146, 147, 153], "as2cl13sb": 142, "as2g": 142, "as2ge2te5": 142, "as2ge3te6": 142, "as2ge5te8": 142, "as2gete4": 142, "as2s2s": 142, "as2s3": 142, "as2se3": 142, "as2si": 142, "as2te3": 142, "as4ge3": 142, "as4gete7": 142, "as4s3": 142, "as4s5": 142, "as4se3": 142, "as4si3": 142, "as8s9": 142, "asanyarrai": 156, "ascii": [25, 27, 28, 138, 147], "ascl5": 142, "asctim": 157, "ase": [9, 15, 19, 25, 26, 121, 122, 128, 129, 132, 133, 134, 138, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "ase_atom": 142, "ase_dataset": [0, 25, 30], "ase_db": [15, 128, 132, 134, 157], "ase_read": 128, "ase_read_arg": [19, 25, 128], "ase_read_multi": 128, "ase_util": [0, 6, 10, 30, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "aseatomsadaptor": 121, "aseatomsdataset": [19, 25], "asedbdataset": [19, 25], "aselmdbdataset": [19, 25], "asereaddataset": [19, 25], "asereadmultistructuredataset": [19, 25], "asg": 142, "asges": 142, "ask": [9, 142], "ass": 142, "ass2": 142, "ass6sb3": 142, "assb": 142, "assert_is_inst": 16, "assess": [151, 154], "assi": 142, "assign": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 94, 98, 100, 103, 104, 106, 107, 112, 116, 117, 138, 147, 156], "associ": [32, 59, 72, 86, 87, 98, 130, 137, 147, 158], "associated_legendre_polynomi": [59, 72, 86], "assum": [17, 19, 25, 33, 40, 128, 142, 147, 154], "assumpt": [25, 26], "async_op": 2, "asyncio": 142, "atct": 153, "atom": [1, 9, 13, 17, 19, 20, 21, 25, 26, 32, 36, 38, 39, 49, 51, 52, 54, 55, 57, 61, 63, 66, 67, 68, 70, 74, 76, 79, 80, 81, 83, 84, 87, 88, 91, 94, 97, 98, 100, 101, 103, 121, 122, 129, 130, 131, 132, 134, 138, 140, 141, 144, 150, 151, 153, 154, 157, 158], "atom_dist": [17, 94], "atom_edge_embed": [36, 38], "atom_edge_interact": [80, 81, 91, 132, 133, 147, 157], "atom_emb": [133, 147], "atom_emb_s": 147, "atom_featur": [61, 74, 88], "atom_interact": [80, 81, 91, 132, 147, 157], "atom_tag": 154, "atom_upd": [57, 70, 147], "atom_update_block": [0, 55, 62, 68, 75, 81, 90, 95], "atomembed": [61, 74, 88, 147], "atomic_numb": [39, 49, 51, 103, 121, 122, 133, 138, 147, 148], "atomic_radii": [0, 22, 25, 30], "atomist": [147, 149, 156, 158], "atoms_collect": [121, 122], "atoms_len": 29, "atoms_list": [29, 151, 154], "atoms_to_graph": [0, 30, 122, 148], "atoms_transform": [19, 25], "atoms_transform_arg": [19, 25], "atomsrow": [25, 26], "atomstograph": [19, 25, 121, 122, 147, 148], "atomupdate_2_sum": 147, "atomupdate_3_sum": 147, "atomupdate_4_sum": 147, "atomupdate_5_sum": 147, "atomupdateblock": [57, 70, 84], "atomwisel2loss": 112, "attach": 132, "attempt": [19, 25], "attent": [36, 38, 40, 49, 98], "attn_activ": [36, 38, 49], "attn_alpha_channel": [36, 38, 49], "attn_alpha_head": [36, 38, 49], "attn_hidden_channel": [36, 38, 49], "attn_value_channel": [36, 38, 49], "attn_value_head": [36, 38, 49], "attribut": [1, 9, 31, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 129, 130, 131, 138, 139, 147], "au": [134, 142], "au101": 134, "au10ca4in3": 142, "au10hf7": 142, "au10in3": 142, "au116": 134, "au12": 134, "au12cd3in": 142, "au12in3sn": 142, "au12in3zn": 142, "au15in17sr4": 142, "au16": 134, "au17": 134, "au19": 134, "au2": 142, "au23": 134, "au2bi": 142, "au2ca": 142, "au2ca2pb": 142, "au2ca5": 142, "au2cacd": 142, "au2cage2": 142, "au2cain": 142, "au2cana": 142, "au2casi2": 142, "au2casn": 142, "au2cdi": 142, "au2cdsc": 142, "au2cdzn": 142, "au2cdzr": 142, "au2cs2se3": 142, "au2csrb": 142, "au2cuzn": 142, "au2ga": 142, "au2ga2in": 142, "au2ga2sr": 142, "au2hf": 142, "au2hfin": 142, "au2hfzn": 142, "au2i": 142, "au2ini": 142, "au2insc": 142, "au2insc2": 142, "au2inti": 142, "au2iny2": 142, "au2inzr": 142, "au2inzr2": 142, "au2k": 142, "au2krb": 142, "au2mn": 142, "au2mnzn": 142, "au2na": 142, "au2nasr": 142, "au2nb": 142, "au2nb3": 142, "au2ni4si7": 142, "au2p3": 142, "au2pb": 142, "au2pbp2": 142, "au2sc": 142, "au2sc2sn": 142, "au2sczn": 142, "au2sn2sr": 142, "au2sni": 142, "au2sny2": 142, "au2sr": 142, "au2sr3": 142, "au2srge2": 142, "au2srsi2": 142, "au2ti": 142, "au2tizn": 142, "au2y3": 142, "au2ysi2": 142, "au2znzr": 142, "au2zr": 142, "au3": 134, "au39": 134, "au3ca": 142, "au3ca2in4": 142, "au3ca3in": 142, "au3ca5": 142, "au3caga": 142, "au3cd": 142, "au3cd5": 142, "au3cdsr2": 142, "au3csga2": 142, "au3css2": 142, "au3csse2": 142, "au3cu": 142, "au3ga4sr": 142, "au3hf": 142, "au3i": 142, "au3in": 142, "au3in2": 142, "au3in3sr": 142, "au3irnb12": 142, "au3k2": 142, "au3k3sb2": 142, "au3ksn3": 142, "au3mn": 142, "au3na": 142, "au3nag": 142, "au3nasi": 142, "au3pd": 142, "au3rb2": 142, "au3rb2tl": 142, "au3rb3sb2": 142, "au3rbse2": 142, "au3sc": 142, "au3sn": 142, "au3snp7": 142, "au3srg": 142, "au3ti": 142, "au3y3sb4": 142, "au3zn": 142, "au3zr": 142, "au4": 134, "au41": 134, "au45": 134, "au46": 134, "au49": 134, "au4bica": 142, "au4ca3": 142, "au4ca5": 142, "au4cacd2": 142, "au4cu3pd": 142, "au4in2k": 142, "au4in2rb": 142, "au4in3sn": 142, "au4in3sn3": 142, "au4in6k": 142, "au4ksn2": 142, "au4ksn6": 142, "au4mn": 142, "au4nb": 142, "au4sc": 142, "au4ti": 142, "au4zn": 142, "au4zr": 142, "au54": 134, "au5ca": 142, "au5ca4cd3": 142, "au5cd8": 142, "au5ink3": 142, "au5k": 142, "au5k3pb": 142, "au5k3tl": 142, "au5mn2": 142, "au5mny3": 142, "au5rb": 142, "au5sn": 142, "au6ca5si4": 142, "au6cs4s5": 142, "au6in5na2": 142, "au7ca3ge4": 142, "au7cs4sn2": 142, "au7ga2": 142, "au7k4ge2": 142, "au7rb3": 142, "au7sn9sr4": 142, "au8": 134, "au8sn3sr3": 142, "au9": 134, "au9ca2zn3": 142, "au9hf": 142, "auasg": 142, "aubi3": 142, "aubica": 142, "aubica2": 142, "aubik2": 142, "aubina2": 142, "aubipb3": 142, "aubipd2": 142, "auc": 142, "auca": 142, "auca2a": 142, "auca2ga7": 142, "auca2n": 142, "auca2pb": 142, "auca2pd": 142, "auca2pt": 142, "auca2sb": 142, "auca3": 142, "auca3n": 142, "auca4cd3": 142, "aucaa": 142, "aucacd": 142, "aucag": 142, "aucaga": 142, "aucain": 142, "aucain2": 142, "aucap": 142, "aucasb": 142, "aucasi": 142, "aucasn": 142, "aucd": 142, "aucd2na": 142, "aucd2rh": 142, "aucdi": 142, "aucdk2": 142, "aucdpd2": 142, "aucdsb": 142, "aucdsc2": 142, "aucdsn": 142, "aucdsr": 142, "aucl": 142, "aucl2": 142, "aucl3": 142, "aucl4": 142, "aucl4p": 142, "aucl5": 142, "aucl7t": 142, "auclte2": 142, "aucrs2": 142, "aucrte4": 142, "aucscl3": 142, "aucscl4": 142, "aucss": 142, "aucsse3": 142, "aucst": 142, "aucu": 142, "aucu2pd": 142, "aucu3": 142, "aucusc2": 142, "aucuse4": 142, "aucusn": 142, "aucuzn2": 142, "audienc": [136, 150], "auga": 142, "auga2": 142, "auga40mo8": 142, "augahf": 142, "augai": 142, "augasc2": 142, "augazr": 142, "augment": 153, "auhf": 142, "auhf2": 142, "auhf3": [142, 151], "auhgna2": 142, "auhgpd2": 142, "auhgrb2": 142, "aui": 142, "auin2": 142, "auin2na": 142, "auin2na3": 142, "auin3sr": 142, "auini": 142, "auinsr": 142, "auinzr": 142, "auiry2": 142, "auk": 142, "auk2p": 142, "auk2sb": 142, "auk3ge4": 142, "auk3se2": 142, "auk3sn4": 142, "auk5p2": 142, "aukcl3": 142, "aukcl4": 142, "auks": 142, "auks5": 142, "aukse2": 142, "aukt": 142, "aumn": 142, "aumnpd2": 142, "aumnsn": 142, "auna2": 142, "auna2a": 142, "auna2sb": 142, "auna2sn3": 142, "auna3": 142, "auna3s2": 142, "auna5se12": 142, "aunag": 142, "aunase2": 142, "aunasn": 142, "aunat": 142, "aunb3": 142, "aunb3zn": 142, "aunb6o": 142, "aunb6pt": 142, "auni3si6": 142, "auni4sc": 142, "aunisn2": 142, "auossc2": 142, "aup": 142, "aupb2": 142, "aupb3": 142, "aupb4pd": 142, "aupb4rb3": 142, "aupd": 142, "aupd2sn2": 142, "aupd2tl": 142, "aupd2zn": 142, "aupd3": 142, "aupd3sb8": 142, "aupd3sn2": 142, "aupdpt": 142, "aupdsc2": 142, "aupdsn2": 142, "aupdsr2": 142, "aupdzn2": 142, "aups4": 142, "aupsi": 142, "auptsr2": 142, "auptti6": 142, "aurb": 142, "aurb3sn4": 142, "aurbcl3": 142, "aurbcl4": 142, "aurbs": 142, "aurbt": 142, "aurhzn2": 142, "aurusc2": 142, "aus": 142, "ausb2": 142, "ausc": 142, "ausc2tc": 142, "ausc2zn": 142, "auscg": 142, "auscsi": 142, "auscsn": 142, "ausczn2": 142, "ausn": 142, "ausn2": 142, "ausn3ti5": 142, "ausn4": 142, "ausni": 142, "ausr2n": 142, "ausr2sb": 142, "ausra": 142, "ausrp": 142, "ausrsi3": 142, "auta": 142, "auta3": 142, "aute2": 142, "author": [32, 98, 129, 130, 131, 137, 139, 142, 146, 147], "auti": 142, "auti3": 142, "auti3h3": 142, "autizr": 142, "autl2": 142, "auto": [0, 142, 156], "autoapi": 0, "autocast": 133, "autocast_mod": [132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "autograd": 4, "autom": [134, 138, 151, 153, 154], "automat": [4, 45, 46, 98, 101, 103, 105, 126, 127, 132, 133, 142, 144, 147], "autonotebook": [142, 156], "auv3": 142, "auvs2": 142, "auxiliari": [25, 26], "auy2": 142, "auy2zn": 142, "auyg": 142, "auysi": 142, "auzn": 142, "auzn3": 142, "auzr": 142, "auzr2": 142, "auzr3": 142, "avail": [26, 98, 129, 130, 131, 132, 133, 134, 138, 139, 140, 141, 144, 147, 151, 153, 154, 156, 157, 158], "available_pretrained_checkpoint": [95, 96], "available_pretrained_model": [95, 96, 134, 144, 158], "averag": [2, 36, 38, 110, 140], "average_distance_within_threshold": 109, "avg_degre": [36, 38], "avg_num_nod": [36, 38], "avoid": [19, 25, 128, 129, 132, 133, 134, 142, 144, 147, 151, 153, 154], "awai": [101, 103, 147], "await": [134, 142], "awar": [128, 147], "aws4": 134, "aws4_request": 134, "ax": [14, 144, 147, 149, 151, 153, 156], "ax1": [151, 156], "ax2": [151, 156], "axi": [14, 94, 98, 133, 138, 147, 148, 149, 151], "axvlin": 156, "azur": 158, "b": [4, 17, 54, 55, 67, 68, 80, 81, 83, 94, 134, 142, 147, 151, 153, 156], "b12b706854f5d899e02a9ae6578b5d45": 129, "b2": [134, 139, 144, 158], "b35dc24e99ef3aeaee6c5c949903de94": 130, "b4ad": 142, "b8ad": 142, "back": 142, "backend": [19, 25, 26, 128], "background": [136, 150], "backoff_factor": 89, "backpropag": [80, 81], "backward": [4, 119], "bader": 158, "balanc": [141, 147], "balanced_partit": 1, "balancedbatchsampl": [1, 125, 126], "band": [101, 103, 105], "bar": [19, 25], "bare": [129, 147, 149], "base": [0, 1, 4, 7, 9, 11, 17, 19, 25, 26, 27, 28, 30, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 49, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 63, 64, 65, 67, 68, 69, 70, 71, 73, 74, 76, 77, 78, 80, 81, 82, 84, 85, 87, 88, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 105, 106, 107, 112, 116, 117, 123, 124, 125, 126, 127, 128, 129, 130, 132, 135, 141, 142, 146, 147, 153, 156, 157, 158], "base_config": 17, "base_joint": 141, "base_lay": [0, 55, 62, 68, 70, 75, 81, 90, 95], "base_train": [0, 30, 115, 126, 127, 157], "basedata": [25, 27], "basedataset": 8, "baselin": [129, 147], "basemodel": [31, 32, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103, 133], "bases_a2": [91, 133], "bases_e2": [91, 133], "bases_e2a": [91, 133], "bases_qint": [91, 133], "basetask": [8, 123, 124], "basetrain": [115, 125, 126, 127, 157], "bash": 147, "basi": [0, 30, 32, 36, 38, 51, 52, 54, 55, 59, 60, 63, 64, 65, 67, 68, 72, 73, 76, 77, 78, 80, 81, 84, 86, 87, 88, 91, 92, 93, 95, 101, 103, 108, 129, 147], "basic": 147, "basis_a2a_rad": [91, 133], "basis_atom_upd": [91, 133], "basis_cir_qint_raw": 133, "basis_emb_s": 32, "basis_output": 133, "basis_rad": 84, "basis_rad_a2ee2a_raw": 133, "basis_rad_cir_qint_raw": 133, "basis_rad_raw": 133, "basis_rad_sph_qint_raw": 133, "basis_sph_qint_raw": 133, "basis_typ": 107, "basis_util": [0, 55, 62, 68, 75, 81, 90, 95], "basis_width_scalar": [51, 52, 101, 103, 104], "basisembed": 87, "batch": [1, 9, 11, 13, 17, 25, 27, 32, 34, 44, 49, 53, 100, 115, 126, 127, 133, 140, 141, 147], "batch_idx": [80, 81, 97, 98], "batch_siz": [1, 112, 125, 126, 132, 133, 147, 157], "batch_to_atom": 9, "bb": 17, "bb4a01956736399c8cee5e219f8c1229": 129, "bbox_to_anchor": 132, "bc74b6474a13542cc56eaa97bd51adfc": 129, "bc7c55330ece006d09496a5ff01d5d50": 129, "bcada432482f6e87b24e14b6b744992a": 129, "becaus": [131, 133, 138, 141, 147, 151, 153, 154], "becker": 147, "becom": 133, "been": [9, 25, 26, 132, 133, 134, 138, 143, 144, 146, 147, 151, 153, 154, 158], "befor": [31, 32, 33, 34, 37, 40, 44, 54, 55, 58, 63, 67, 68, 71, 76, 80, 81, 84, 85, 91, 92, 98, 103, 104, 106, 107, 110, 112, 116, 117, 128, 129, 142, 147], "began": 158, "begin": [138, 147], "behav": 147, "behavior": [17, 19], "behaviour": 156, "being": [17, 48, 129, 141, 142, 149, 158], "below": [17, 94, 129, 132, 133, 134, 138, 141, 142, 147, 149, 153, 154, 157], "benchmark": 147, "beneath": [147, 149], "benefici": 147, "benefit": 147, "bernstein": [64, 77, 92], "bernsteinbasi": [64, 77, 92], "besid": [19, 25], "bess_basi": [59, 72, 86], "bessel": [59, 64, 65, 72, 77, 78, 86, 92, 93], "bessel_basi": [59, 72, 86], "best": [4, 132, 156], "best_checkpoint": [132, 147, 157], "best_checpoint": 147, "best_val_metr": 157, "beta": [50, 53, 105], "better": [19, 25, 56, 69, 80, 81, 82, 92, 93, 132, 134, 147, 148, 153, 157], "between": [17, 19, 25, 36, 38, 51, 52, 66, 79, 80, 81, 82, 83, 94, 101, 103, 121, 122, 133, 140, 147, 148, 151, 153, 158], "beyond": 147, "bfaf689e5827fcf26c51e567bb8dd1b": 129, "bfb6e03d4a687987ff68976f0793cc46": 129, "bfg": [133, 138, 144, 147, 148, 151, 153, 154], "bi": [142, 147], "bi12ptcl12": 142, "bi2c": 142, "bi2ca": 142, "bi2cdsr": 142, "bi2cohf6": 142, "bi2coti4": 142, "bi2crti4": 142, "bi2cs2pd": 142, "bi2cs3": 142, "bi2cuzr6": 142, "bi2feti4": 142, "bi2fey6": 142, "bi2ge2te5": 142, "bi2ge3te6": 142, "bi2gete4": 142, "bi2hgs4": 142, "bi2in4s9": 142, "bi2ir": 142, "bi2k": 142, "bi2k3": 142, "bi2k4zn": 142, "bi2mnse4": 142, "bi2mnti4": 142, "bi2ni3s2": 142, "bi2ni3se2": 142, "bi2pb2se5": 142, "bi2pb2te5": 142, "bi2pb3s6": 142, "bi2pb6s9": 142, "bi2pbs4": 142, "bi2pbse4": 142, "bi2pbte4": 142, "bi2pd": 142, "bi2pd2sr": 142, "bi2pd3s2": 142, "bi2pd3se2": 142, "bi2pd5": 142, "bi2pdpt": 142, "bi2pt": 142, "bi2pt3se2": 142, "bi2rb": 142, "bi2rb3": 142, "bi2rh": 142, "bi2rh3s2": 142, "bi2s3": 142, "bi2sb2te3": 142, "bi2se2t": 142, "bi2se3": 142, "bi2sete2": 142, "bi2sn4se7": 142, "bi2snte4": 142, "bi2sr2zn": 142, "bi2srzn": 142, "bi2sse2": 142, "bi2ste2": 142, "bi2te3": 142, "bi2tl4s5": 142, "bi2tlcl7": 142, "bi2zr": 142, "bi3ca": 142, "bi3cl10te2": 142, "bi3cuti5": 142, "bi3cuzr5": 142, "bi3ga4a": 142, "bi3in2na3": 142, "bi3k5sn": 142, "bi3ks5": 142, "bi3na": 142, "bi3ni": 142, "bi3pbpd12": 142, "bi3pbpt2": 142, "bi3pbte5": 142, "bi3pt2sb": 142, "bi3rh": 142, "bi3sb": 142, "bi3sc5": 142, "bi3se4": 142, "bi3snte4": 142, "bi3sr": 142, "bi3sr2": 142, "bi3sr4": 142, "bi3sr5": 142, "bi3zr5": 142, "bi4cs2se7": 142, "bi4csse7": 142, "bi4k5": 142, "bi4mns7": 142, "bi4pbs7": 142, "bi4pbte7": 142, "bi4pd15p": 142, "bi4rb2se7": 142, "bi4rbse7": 142, "bi4s3se3": 142, "bi4se3": 142, "bi4te3": 142, "bi5cu4s10": 142, "bi5zr3": 142, "bi6cr5se16": 142, "bi7cu4s12": 142, "bi8k2se13": 142, "bi8ni8": 142, "bia": [33, 44, 58, 71, 85, 147], "bias": 147, "bica2": 142, "bica2hg": 142, "bica3a": 142, "bica3n": 142, "bica3p": 142, "bicacu": 142, "bicak": 142, "bicapd2": 142, "bicl": 142, "bicl3": 142, "bicls": 142, "bicozr": 142, "bics3": 142, "bicsrb2": 142, "bicss2": 142, "bicsse2": 142, "bicu6s6": 142, "bicus2": 142, "biga2a": 142, "biga2s4": 142, "biga2se4": 142, "biga4as3": 142, "bigger": 11, "biggest": 153, "bigoplu": 98, "bigoplus_": 98, "bihf": 142, "bihf2": 142, "bihf3": 142, "bii": 142, "biins3": 142, "biinse3": 142, "biir": 142, "biirs": 142, "biirt": 142, "bik2rb": 142, "bik3": 142, "bik3cl6": 142, "bik3te3": 142, "bikna2": 142, "bikpb": 142, "biks2": 142, "bikse2": 142, "biktl2": 142, "bilinear": [54, 55, 60, 63, 67, 68, 73, 76, 80, 81, 87, 91], "billion": 147, "bimetal": 151, "bimo6s8": 142, "bin": [134, 135, 138, 147, 158], "bina": 142, "bina2rb": 142, "bina2tl": 142, "bina3": 142, "binapd2": 142, "binari": [121, 122, 134, 147], "binas2": 142, "binase2": 142, "binate2": 142, "binatl2": 142, "binb6s8": 142, "binb6se8": 142, "binb6te8": 142, "bind": [129, 142, 147, 153], "binding_indic": 154, "bini": 142, "binii": 142, "binisc": 142, "binizr": 142, "bipb3pt": 142, "bipbpd2": 142, "bipbpd6": 142, "bipbpt2": 142, "bipd": 142, "bipd2i": 142, "bipd2sb": 142, "bipd2sc": 142, "bipd2y5": 142, "bipd3": 142, "bipd6a": 142, "bipd6g": 142, "bipd6s": 142, "bipdi": 142, "bipds": 142, "bipdsc": 142, "bipdt": 142, "bipt": 142, "bipt2sb": 142, "bipti": 142, "bipts": 142, "biptsb": 142, "biptt": 142, "birb": 142, "birb3": 142, "birb3cl6": 142, "birb3se3": 142, "birbs2": 142, "birbtl2": 142, "birh": 142, "birhs": 142, "birht": 142, "bis2": 142, "bis3sb": 142, "bisb": 142, "bisbse3": 142, "bisbte2": 142, "bisbte3": 142, "bisc": 142, "bisc3": 142, "bise": 142, "bise2": 142, "bisn4sr3": 142, "bisr2": 142, "bisr3n": 142, "bisr3p": 142, "biti2": 142, "biti3": 142, "bitl3cl6": 142, "bitl4": 142, "bitl9se6": 142, "bitls2": 142, "bitlse2": 142, "bitlte2": 142, "bizr": 142, "bizr3": 142, "bless": 142, "blob": [26, 138, 139, 148, 156], "block": [21, 32, 34, 36, 38, 43, 51, 52, 54, 55, 57, 58, 61, 63, 66, 67, 68, 70, 71, 74, 76, 79, 80, 81, 84, 85, 88, 91, 94, 98, 99, 100, 101, 103, 133, 134, 147, 156], "block_inc": [66, 79, 94, 99], "bluish": 156, "bo": 132, "bo2": 132, "board": [140, 146], "boe": 134, "bohr": 132, "boilerpl": 147, "bond": 158, "bond_feat_dim": [31, 32, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103, 147], "bool": [1, 2, 4, 7, 8, 9, 11, 13, 17, 19, 25, 26, 27, 29, 31, 32, 33, 34, 36, 37, 38, 39, 40, 43, 44, 45, 46, 49, 51, 52, 54, 55, 57, 58, 59, 65, 66, 67, 68, 70, 71, 72, 78, 79, 80, 81, 83, 84, 85, 86, 89, 91, 92, 93, 94, 97, 98, 99, 100, 101, 103, 104, 106, 107, 110, 112, 116, 117, 118, 121, 122, 125, 126, 127, 147, 148, 157], "bool_matrix": 154, "boolean": [4, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 129, 147, 149], "borrow": [8, 32, 146], "both": [1, 33, 34, 37, 40, 80, 81, 91, 97, 98, 129, 130, 141, 144, 147, 149], "bottleneck": 128, "bottom": [129, 147, 149], "boundari": [36, 38, 51, 52, 66, 79, 80, 81, 94, 100, 101, 103, 121, 122], "box": [147, 149], "brabson": [131, 139], "branch": 156, "brandon": [129, 130, 139, 142, 146, 147], "breadth": 143, "break": 147, "breviti": [151, 154], "bridg": [151, 153], "broadcast": 2, "broken": [129, 130, 147], "brook": 142, "brookit": 132, "browser": [132, 157], "broyden": 147, "brute": 147, "budget": 147, "buffer": 158, "bug": 129, "build": [32, 54, 55, 67, 68, 80, 81, 133, 134, 138, 144, 147, 148, 149, 153, 156, 157, 158], "build_config": [17, 157], "built": [36, 38, 146], "bulk": [17, 80, 81, 129, 130, 133, 134, 138, 147, 148, 149, 151, 153, 154], "bulk_db_path": 151, "bulk_id": [129, 130, 151], "bulk_mpid": 129, "bulk_src_id": [142, 151, 154], "bulk_src_id_from_db": [151, 154], "bulk_symbol": [129, 130], "bulkier": 147, "bulks_support": 142, "bump": 156, "bwood": 147, "byte": [129, 130, 131], "c": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 40, 44, 45, 46, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 129, 130, 132, 134, 135, 137, 139, 142, 146, 147, 149, 151, 153, 156], "c05289fd56d64c74306ebf57f1061318": 129, "c19h34": 142, "c2h6": 156, "c2h6si": 142, "c2n4si": 142, "c3h8": [147, 149], "c3h8s2": 142, "c7f383b50faa6244e265c9611466cb8f": 129, "c8742faa8ca40e8edb4110069817fa70": 129, "c_index": [121, 122], "ca": 142, "ca11c2n10": 142, "ca11fe2n10": 142, "ca11mn2n10": 142, "ca19in8n7": 142, "ca2a": 142, "ca2as3": 142, "ca2cdas2": 142, "ca2cdga": 142, "ca2cdhg": 142, "ca2cdin": 142, "ca2cdn2": 142, "ca2cdp2": 142, "ca2cdpb": 142, "ca2cdpd2": 142, "ca2cdpt2": 142, "ca2cdsb2": 142, "ca2cdsn": 142, "ca2cdtl": 142, "ca2cdzn": 142, "ca2cln": 142, "ca2con2": 142, "ca2crn2": 142, "ca2crn3": 142, "ca2cs3cl7": 142, "ca2cu": 142, "ca2cu2ga": 142, "ca2cu6p5": 142, "ca2cuin3": 142, "ca2cun2": 142, "ca2curh": 142, "ca2feh6": 142, "ca2fen2": 142, "ca2g": 142, "ca2ga3zn": 142, "ca2gahg": 142, "ca2gapd2": 142, "ca2gapt2": 142, "ca2gasi": 142, "ca2gasn": 142, "ca2gazn": 142, "ca2gazn3": 142, "ca2gen2": 142, "ca2ges4": 142, "ca2hg": 142, "ca2hgg": 142, "ca2hgin": 142, "ca2hgtl": 142, "ca2hgzn": 142, "ca2hn": 142, "ca2in": 142, "ca2inn": 142, "ca2inna": 142, "ca2inpb": 142, "ca2inpd2": 142, "ca2inpt2": 142, "ca2intl": 142, "ca2inzn": 142, "ca2ir12p7": 142, "ca2ir2si": 142, "ca2mnn2": 142, "ca2mnn3": 142, "ca2mon3": 142, "ca2n": 142, "ca2n3p": 142, "ca2n8si5": 142, "ca2narh": 142, "ca2natl": 142, "ca2nbn3": 142, "ca2ni10h": 142, "ca2ni12as7": 142, "ca2ni3ge2": 142, "ca2ni7p4": 142, "ca2nin2": 142, "ca2osh6": 142, "ca2pb": 142, "ca2pb3tl3": 142, "ca2pbtl": 142, "ca2pbzn": 142, "ca2pd2g": 142, "ca2pd3g": 142, "ca2pd3sb4": 142, "ca2pdpt": 142, "ca2pt2g": 142, "ca2pt3si5": 142, "ca2pt3sn5": 142, "ca2ren3": 142, "ca2rh": 142, "ca2rhzn": 142, "ca2ruh6": 142, "ca2run3": 142, "ca2s5sb2": 142, "ca2sb": 142, "ca2se4si": 142, "ca2si": 142, "ca2sn": 142, "ca2sn3s8": 142, "ca2sn6zn3": 142, "ca2snge2": 142, "ca2snn2": 142, "ca2sns4": 142, "ca2sntl": 142, "ca2snzn": 142, "ca2srsi6": 142, "ca2tan3": 142, "ca2tlzn": 142, "ca2vn2": 142, "ca2vn3": 142, "ca2wn2": 142, "ca2znn2": 142, "ca3as4ge2": 142, "ca3as4si2": 142, "ca3ascl3": 142, "ca3asn": 142, "ca3cd": 142, "ca3cd2": 142, "ca3cd2ga4": 142, "ca3cl3p": 142, "ca3co3n5": 142, "ca3con3": 142, "ca3cr3n5": 142, "ca3crn3": 142, "ca3fe2n4": 142, "ca3fe3n5": 142, "ca3fen3": 142, "ca3ga2n4": 142, "ca3ga2p4": 142, "ca3ga2pd2": 142, "ca3ga2pt2": 142, "ca3ga3ir2": 142, "ca3ga3n5": 142, "ca3ga3rh2": 142, "ca3ga4in2": 142, "ca3ga4ni4": 142, "ca3ga5": 142, "ca3ga8": 142, "ca3gaas3": 142, "ca3gan3": 142, "ca3ge2p4": 142, "ca3gen": 142, "ca3hg2": 142, "ca3in": 142, "ca3in2as4": 142, "ca3inn3": 142, "ca3inp3": 142, "ca3ir4ge13": 142, "ca3ir4ge4": 142, "ca3ir4si4": 142, "ca3ir4sn13": 142, "ca3mn2n4": 142, "ca3mn3n5": 142, "ca3mnn3": 142, "ca3mon3": 142, "ca3n2": 142, "ca3ni3si2": 142, "ca3np": 142, "ca3nsb": 142, "ca3p14si8": 142, "ca3pb": 142, "ca3pbse4": 142, "ca3pd": 142, "ca3psb": 142, "ca3pt2": 142, "ca3ren3": 142, "ca3rh4sn13": 142, "ca3rhn3": 142, "ca3ru2n4": 142, "ca3sn": 142, "ca3sn2s7": 142, "ca3snh2": 142, "ca3sr5si4": 142, "ca3srsi4": 142, "ca3ti8s16": 142, "ca3tl": 142, "ca3tl5": 142, "ca3tln": 142, "ca3vn3": 142, "ca3w3n5": 142, "ca3zn": 142, "ca4cn4": 142, "ca4crn4": 142, "ca4gasi3": 142, "ca4gasn3": 142, "ca4gen4": 142, "ca4hfn4": 142, "ca4in2n": 142, "ca4ir8as7": 142, "ca4ir8p7": 142, "ca4irn4": 142, "ca4mnn4": 142, "ca4n4si": 142, "ca4ni20h": 142, "ca4ni3c5": 142, "ca4osn4": 142, "ca4pbn4": 142, "ca4pd4si3": 142, "ca4ren4": 142, "ca4rh3h12": 142, "ca4rhn4": 142, "ca4run4": 142, "ca4snn4": 142, "ca4ssb2": 142, "ca4tin4": 142, "ca4vn4": 142, "ca4zrn4": 142, "ca5as3": 142, "ca5cdcu2": 142, "ca5co2n4": 142, "ca5co2n6": 142, "ca5cupb3": 142, "ca5ga2as6": 142, "ca5ga2n4": 142, "ca5ga2sb6": 142, "ca5ga3": 142, "ca5ge2n6": 142, "ca5ge3": 142, "ca5ge3h": 142, "ca5hp3": 142, "ca5in2sb6": 142, "ca5ir": 142, "ca5ir2n6": 142, "ca5mn2n6": 142, "ca5n6si2": 142, "ca5nbn5": 142, "ca5os2n4": 142, "ca5os2n6": 142, "ca5p8": 142, "ca5pb3": 142, "ca5pd2": 142, "ca5pd6ge6": 142, "ca5pd6p6": 142, "ca5pt2": 142, "ca5pt3": 142, "ca5ru2n6": 142, "ca5sb3": 142, "ca5si3": 142, "ca5sn2as6": 142, "ca5sn3h": 142, "ca5ti8s16": 142, "ca5zn3": 142, "ca6cu2sn7": 142, "ca6fen5": 142, "ca6gan5": 142, "ca6mnn5": 142, "ca6n2te3": 142, "ca7cl2h12": 142, "ca7gen6": 142, "ca7ni4sn13": 142, "ca7rhn6": 142, "ca7v3n9": 142, "ca8in3": 142, "ca8mn3n8": 142, "ca9fe2n8": 142, "caa": 142, "caas3": 142, "caca0058b641bfdc9f8de4527e60feb7": 129, "cacd": 142, "cacd2": 142, "cacd2as2": 142, "cacd2cu9": 142, "cacd2i": 142, "cacd2p2": 142, "cacd2pd": 142, "cacd2sb2": 142, "cacd3": 142, "cacdg": 142, "cacdhg2": 142, "cacdpb": 142, "cacdpd": 142, "cacdpd2": 142, "cacdpt": 142, "cacds2": 142, "cacdsn": 142, "cach": [145, 147, 158], "cacl2": 142, "caclh": 142, "cacn2": 142, "caco2as2": 142, "caco2ga3": 142, "caco2ge2": 142, "caco2p2": 142, "caco2si2": 142, "cacosi": 142, "cacr2s4": 142, "cacr4s8": 142, "cacrn2": 142, "cacs2cl4": 142, "cacscl3": 142, "cacsh3": 142, "cacu": 142, "cacu2as2": 142, "cacu2ge2": 142, "cacu2p2": 142, "cacu2si2": 142, "cacu2sn2": 142, "cacu4as2": 142, "cacu4in": 142, "cacu4p2": 142, "cacu5": 142, "cacu9sn4": 142, "cacua": 142, "cacug": 142, "cacuga": 142, "cacuin2": 142, "cacun": 142, "cacup": 142, "cacusb": 142, "cacusi": 142, "cacusn": 142, "cafe2as2": 142, "cafe2p2": 142, "cafe2si2": 142, "cafe4as3": 142, "cafe4sb12": 142, "cafe5as3": 142, "caga": 142, "caga2": 142, "caga2as2": 142, "caga2ni": 142, "caga2p2": 142, "caga2s4": 142, "caga3ni2": 142, "caga3pt": 142, "caga4": 142, "caga6te10": 142, "cagag": 142, "cagah5": 142, "cagan": 142, "cagapt": 142, "cagasi": 142, "cagasn": 142, "cage": 142, "cage2": 142, "cage3": 142, "cagen2": 142, "cah2": 142, "cah4n2": 142, "cahfn2": 142, "cahfs3": 142, "cahg": 142, "cahg2": 142, "cahg2i": 142, "cahg2in": 142, "cahg2sr": 142, "cahg3": 142, "cahgpb": 142, "cahgsn": 142, "cahn": 142, "cain": 142, "cain2": 142, "cain2ir": 142, "cain2n2": 142, "cain2ni": 142, "cain2p2": 142, "cain2pd": 142, "cain2pt": 142, "cain2rh": 142, "cain2s4": 142, "cain2sr": 142, "cain2te4": 142, "cain4ir": 142, "cain4ni": 142, "cain4pd": 142, "cain4rh": 142, "cainpd": 142, "cainpd2": 142, "cainpt": 142, "cainrh": 142, "cair2": 142, "cair2ge2": 142, "cairsi3": 142, "cairsn2": 142, "cait": 40, "cakcl3": 142, "cakh3": 142, "calc": [132, 133, 134, 144, 151, 153, 154, 156, 157], "calc_forc": 89, "calc_forces_and_upd": 89, "calc_tim": 134, "calcspherepoint": 102, "calcspherepointsrandom": 102, "calcuat": 131, "calcul": [1, 9, 25, 27, 28, 39, 49, 59, 66, 72, 79, 80, 81, 86, 89, 94, 105, 129, 132, 133, 138, 141, 142, 144, 148, 149, 150, 151, 154, 156, 157, 158], "calculate_interatomic_vector": [66, 79, 94], "calculate_quad_angl": [80, 81, 133], "caleb": [129, 139, 146, 147], "calibr": 153, "call": [4, 9, 17, 31, 32, 33, 34, 37, 40, 44, 48, 58, 71, 85, 92, 98, 103, 104, 106, 107, 110, 112, 116, 117, 132, 133, 140, 142, 147, 156, 157, 158], "callabl": [19, 25, 28, 57, 60, 70, 73, 84], "camn2as2": 142, "camn2ge2": 142, "camn2p2": 142, "camn2te3": 142, "camn4s8": 142, "camng": 142, "camns2": 142, "camnsb2": 142, "camnse2": 142, "camnsi": 142, "camo6s8": 142, "camon3": 142, "can": [1, 4, 8, 9, 17, 19, 25, 26, 31, 32, 33, 34, 36, 37, 38, 40, 41, 44, 45, 46, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 126, 127, 128, 129, 130, 131, 132, 134, 136, 139, 140, 141, 142, 146, 147, 148, 149, 150, 151, 153, 154, 156, 157, 158], "can2": 142, "can2si": 142, "can6": 142, "cana10sn12": 142, "cana4sn6": 142, "canaa": 142, "canah3": 142, "canapb2": 142, "canatl2": 142, "candid": [132, 147, 151], "cani2": 142, "cani2as2": 142, "cani2ge2": 142, "cani2p2": 142, "cani2si": 142, "cani2si2": 142, "cani2zn3": 142, "cani3": 142, "cani4sn2": 142, "cani5": 142, "cani5h": 142, "canig": 142, "canige2": 142, "canih3": 142, "canin": 142, "cannot": [44, 133, 147, 149], "caos4sb12": 142, "cap": 142, "cap3": 142, "capabl": [147, 158], "capac": 133, "capb": 142, "capb3": 142, "capb3se4": 142, "capb6sr": 142, "capbpd": 142, "capbpt": 142, "capbse2": 142, "capbsr": 142, "capbzn": 142, "capd": 142, "capd2": 142, "capd2as2": 142, "capd2ge2": 142, "capd2p2": 142, "capd2sb": 142, "capd2si2": 142, "capd5": 142, "capdh2": 142, "capdh3": 142, "capdsb": 142, "capdsi": 142, "capdsn": 142, "capdsn2": 142, "capdzn": 142, "caps3": 142, "capse3": 142, "capt2": 142, "capt2ge2": 142, "capt2i": 142, "capt5": 142, "capta": 142, "captg": 142, "captge2": 142, "caption": 7, "captp": 142, "captsb": 142, "captsi": 142, "captsi3": 142, "captsn": 142, "captur": [133, 134, 141, 146, 147, 156, 157], "carb2h4": 142, "carba": 142, "carbcl3": 142, "carbh3": 142, "carbon": [147, 156], "carbsb": 142, "care": [83, 133, 147, 153], "caren3": 142, "carh2": 142, "carh2ge2": 142, "carh2i": 142, "carh2p2": 142, "carh2si2": 142, "carh2sn": 142, "carh2zr": 142, "carh6as4": 142, "carhsn2": 142, "carnegi": 147, "carri": [147, 149, 157], "cartesian": [59, 72, 86, 129, 158], "caru2as2": 142, "caru2ge2": 142, "caru2p2": 142, "casb2": 142, "casc2s4": 142, "case": [1, 17, 19, 25, 98, 128, 138, 141, 142, 147], "casi": 142, "casi2": 142, "casi3": 142, "casn": 142, "casn16sr3": 142, "casn2s5": 142, "casn3": 142, "casn5sr2": 142, "casnn2": 142, "casns3": 142, "casnsr": 142, "casnzn": 142, "casr3s4": 142, "casr3si8": 142, "casr4si3": 142, "casr9si6": 142, "casrg": 142, "casrs2": 142, "casrsi": 142, "casrsi4": 142, "casrtl2": 142, "casrzn2": 142, "cat": [132, 141, 147], "catalyast": 147, "catalysi": [129, 130, 139, 144, 146, 147, 151, 158], "catalyst": [133, 138, 141, 142, 148, 149, 150, 156, 158], "catalyt": 151, "catcn3": 142, "cate": 142, "categori": 147, "cati2s4": 142, "cati4s8": 142, "cati8s16": 142, "catl": 142, "catl3": 142, "catlcl3": 142, "caus": [132, 133, 134, 151, 157], "cav4s8": 142, "cawn3": 142, "cay2s4": 142, "cay2te4": 142, "cayzn2": 142, "cazn": 142, "cazn11": 142, "cazn2": 142, "cazn2as2": 142, "cazn2ge2": 142, "cazn2n2": 142, "cazn2p2": 142, "cazn2sb2": 142, "cazn2si2": 142, "cazn3": 142, "cazn5": 142, "cazng": 142, "caznsi": 142, "cazrn2": 142, "cazrs3": 142, "cbf": [54, 55, 65, 67, 68, 78, 80, 81, 87, 93, 132, 147, 157], "cbf3": [63, 76], "cbf_basis_qint": 133, "cc668fecf679b6edaac8fd8fb9cdd404": 129, "ccai": 147, "cch": [129, 142], "cch2": [129, 142], "cch2oh": [129, 142], "cch3": [129, 142], "ccho": [129, 142], "cchoh": [129, 142], "cco": [129, 142], "cd": [142, 147], "cd11na2": 142, "cd11sr": 142, "cd2as4g": 142, "cd2ascl2": 142, "cd2cl2p": 142, "cd2clp3": 142, "cd2ga2se5": 142, "cd2ga2sr": 142, "cd2inna": 142, "cd2k11sb5": 142, "cd2mns3": 142, "cd2mnte3": 142, "cd2napd": 142, "cd2napt": 142, "cd2narh": 142, "cd2pdrh": 142, "cd2pdsr": 142, "cd2ptrh": 142, "cd2rb5tl11": 142, "cd2sete": 142, "cd2sr": 142, "cd2sras2": 142, "cd2srge2": 142, "cd2srp2": 142, "cd2srsb2": 142, "cd2sse": 142, "cd2ste": 142, "cd2y": 142, "cd3ascl3": 142, "cd3cl3p": 142, "cd3cu2p10": 142, "cd3in2se6": 142, "cd3mnte4": 142, "cd3na": 142, "cd3na4se5": 142, "cd3p2": 142, "cd3pd": 142, "cd3pt": 142, "cd3rb2s4": 142, "cd3sc": 142, "cd3sr": 142, "cd3sr5": 142, "cd3y": 142, "cd3zns4": 142, "cd3znse4": 142, "cd3zr": 142, "cd4csas3": 142, "cd4ges6": 142, "cd4gese6": 142, "cd4hgse5": 142, "cd4kas3": 142, "cd4kp3": 142, "cd4mns5": 142, "cd4naas3": 142, "cd4pbte5": 142, "cd4pt2sr": 142, "cd4s6si": 142, "cd4se3t": 142, "cd4sete3": 142, "cd5cl2s4": 142, "cd5s4te": 142, "cd7na6s10": 142, "cd7sc": 142, "cda": 142, "cdas2": 142, "cdas2g": 142, "cdas2si": 142, "cdasp": 142, "cdcl2": 142, "cdcn2": 142, "cdco3n": 142, "cdcr2s4": 142, "cdcs3h5": 142, "cdcscl3": 142, "cdcu2hf": 142, "cdcu2sc": 142, "cdcu2y2": 142, "cdcu2zr": 142, "cdga2cl8": 142, "cdga2s4": 142, "cdga2se4": 142, "cdga2te4": 142, "cdga6te10": 142, "cdgarh2": 142, "cdgasc2": 142, "cdgasr": 142, "cdgen2": 142, "cdgep2": 142, "cdhf": 142, "cdhf2": 142, "cdhfrh2": 142, "cdhg2na": 142, "cdhg2sc": 142, "cdhg2sr": 142, "cdhg2y": 142, "cdhg3te4": 142, "cdhg4se5": 142, "cdhgpd2": 142, "cdhgse2": 142, "cdhgsr2": 142, "cdhgte2": 142, "cdhgy2": 142, "cdin2s4": 142, "cdin2se4": 142, "cdin2te4": 142, "cdinpd2": 142, "cdinrh2": 142, "cdinsc2": 142, "cdinsr2": 142, "cdk2n12": 142, "cdk2pb": 142, "cdk2sn": 142, "cdk4as2": 142, "cdk4cl6": 142, "cdk4p2": 142, "cdka": 142, "cdkcl3": 142, "cdksb": 142, "cdmn2te3": 142, "cdmn3te4": 142, "cdmns2": 142, "cdmnse2": 142, "cdmnse4": 142, "cdmnte2": 142, "cdmo6s8": 142, "cdn2si": 142, "cdna2cl4": 142, "cdna2pb": 142, "cdna2sn": 142, "cdna3": 142, "cdna4p2": 142, "cdna6cl8": 142, "cdnaa": 142, "cdnapd2": 142, "cdnasb": 142, "cdnatl2": 142, "cdnb6se8": 142, "cdni3n": 142, "cdni4sc": 142, "cdossc2": 142, "cdp2": 142, "cdp2si": 142, "cdp4": 142, "cdpb3zr5": 142, "cdpbrh2": 142, "cdpbs2": 142, "cdpbsr": 142, "cdpbsr2": 142, "cdpd": 142, "cdpd2sc": 142, "cdpd2y": 142, "cdpd2zr": 142, "cdpd3": 142, "cdpd5a": 142, "cdpd5p": 142, "cdpd5se": 142, "cdps3": 142, "cdpse3": 142, "cdpt": 142, "cdpt2sc": 142, "cdpt2sr2": 142, "cdpt2y": 142, "cdpt2zn": 142, "cdpt3": 142, "cdpt5a": 142, "cdpt5p": 142, "cdptsr": 142, "cdrb2cl4": 142, "cdrbcl3": 142, "cdrh2sc": 142, "cdrh2sn": 142, "cdrh2zr": 142, "cds2": 142, "cdsb": 142, "cdsc": 142, "cdsc2tc": 142, "cdsc2tl": 142, "cdsc3": 142, "cdse": 142, "cdse2": 142, "cdsnas2": 142, "cdsnp2": 142, "cdsnsb2": 142, "cdsnsr": 142, "cdsnsr2": 142, "cdsnte2": 142, "cdsr": 142, "cdsr2as2": 142, "cdsr2n2": 142, "cdsr2zn3": 142, "cdsrge": 142, "cdte": 142, "cdti": 142, "cdti2": 142, "cdti2c": 142, "cdtlsb": 142, "cdtly2": 142, "cdy": 142, "cdy2se4": 142, "cdy3": 142, "cdy4s7": 142, "cdzn3s4": 142, "cdzn3se4": 142, "cdzn4se5": 142, "cdzns2": 142, "cdznsb2": 142, "cdznse2": 142, "cdznte2": 142, "cdzr": 142, "cdzr2": 142, "cdzr3": 142, "cdzr5sb2": 142, "ce8f": 134, "cell": [9, 17, 83, 109, 121, 122, 129, 132, 133, 138, 142, 148, 151, 156, 157], "cell_offset": [17, 32, 54, 55, 67, 68, 83, 94, 97, 98, 99, 138, 147, 148], "center": [40, 121, 122, 132, 138, 147, 148, 149, 154], "central": [8, 158], "centuri": 147, "certain": [17, 19, 147, 149], "certainli": 134, "certifi": 142, "cf51128f8522b7b66fc68d79980d6def": 129, "cfc04dd2f87b4102ab2f607240d25fb1": 129, "cg_change_mat": 17, "cgcnn": [8, 21, 23, 24, 134, 139, 144, 146, 158], "cgcnnconv": 8, "ch": [129, 142], "ch2": [129, 142], "ch2ch2oh": [129, 142], "ch2ch3": [129, 142], "ch2n2": 142, "ch2oh": [129, 142], "ch3": [129, 142, 156], "ch3ch2oh": 156, "ch3oh": 156, "ch4": [129, 133, 142], "challeng": [129, 130, 131, 139, 141, 146, 147], "chang": [9, 17, 34, 128, 132, 140, 141, 146, 147, 150, 151, 153, 154, 156, 157], "channel": [36, 38, 39, 40, 42, 43, 44, 49, 51, 52, 53, 100, 101, 103, 105], "channels_list": 42, "chanussot": [129, 139, 146, 147], "charg": [9, 32, 98, 132, 134, 137, 147, 157, 158], "charset": 142, "chch2": [129, 142], "chch2oh": [129, 142], "chcho": [129, 142], "chchoh": [129, 142], "chco": [129, 142], "chcoh": 129, "check": [1, 132, 135, 138, 140, 146, 147, 148, 151, 154, 159], "check_converg": 13, "check_traj_fil": 17, "checker": 1, "checkpoint": [9, 15, 17, 36, 38, 95, 96, 125, 126, 129, 133, 134, 140, 141, 144, 153, 154, 157], "checkpoint_dir": [17, 132, 147], "checkpoint_fil": [17, 125, 126, 157], "checkpoint_path": [9, 15, 125, 126, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157, 158], "checksum": [129, 130, 131], "chem": [134, 153], "chemic": [129, 130, 146, 147], "chemistri": [136, 143, 146, 147], "child": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "chmiela": [64, 77, 92], "chn": 142, "cho": [129, 142], "choch2oh": [129, 142], "chochoh": [129, 142], "choh": [129, 142], "chohch2": [129, 142], "chohch2oh": [129, 142], "chohch3": [129, 142], "chohchoh": [129, 142], "choi": [131, 139], "choic": [17, 134, 147], "choos": [132, 134, 144, 148, 156, 158], "chosen": 129, "chunk": 1, "chunk_idx": 134, "cif": [19, 25, 128], "circular": [54, 55, 63, 67, 68, 76, 80, 81, 87, 91, 93], "circular_basi": 133, "circularbasislay": [65, 78, 93], "cite": 139, "cl": [16, 142], "cl11n3p4": 142, "cl2": 142, "cl2si": 142, "cl2te3": 142, "cl3p": 142, "cl3s8sb": 142, "cl3sb": 142, "cl4ge": 142, "cl4h8si5": 142, "cl4si": 142, "cl5nsi2": 142, "cl5p": 142, "cl5sb": 142, "cl9nsi3": 142, "cl9ssb": 142, "claim": [32, 98, 137, 147], "clariti": [147, 149], "class": [129, 140, 142, 147, 148, 157], "classic": 149, "classif": 129, "classmethod": 8, "classvar": [8, 9, 109], "clean": [132, 139, 140], "cleanli": [19, 25], "cleanup": 2, "cleanup_gp": 4, "clear": 156, "clgeh3": 142, "clh": 142, "clh3n": 142, "clh4n": 142, "click": 158, "client": 142, "climat": 150, "clip_grad_norm": [132, 147, 157], "clone": [44, 53, 70, 147], "close": [25, 26, 133, 138, 147, 149, 156], "close_db": [19, 25, 27, 28], "closer": [132, 133, 147, 149], "closest": 156, "cls_method": 133, "clse": 142, "clte2": 142, "cluster": [134, 141, 155], "cm": 129, "cmap": 156, "cmd": [132, 134, 157], "cmp": [25, 26], "cmu": [134, 147], "cn": [129, 142], "cn4si2": 142, "co": [129, 133, 142, 147, 149, 150, 153, 154], "co10mo2i": 142, "co11mn4ge5": 142, "co12mn5y2": 142, "co12nb2p7": 142, "co12sc2p7": 142, "co12ti2p7": 142, "co12zr2p7": 142, "co14cu3y2": 142, "co16hf6si7": 142, "co16ta6ge7": 142, "co16ti6si7": 142, "co16zr6ge7": 142, "co16zr6si7": 142, "co17y2": 142, "co17y2h3": 142, "co19zr5p12": 142, "co2a": 142, "co2assb": 142, "co2crg": 142, "co2crga": 142, "co2crsi": 142, "co2csas2": 142, "co2css2": 142, "co2csse2": 142, "co2cuge2": 142, "co2cus4": 142, "co2feg": 142, "co2fega": 142, "co2fese4": 142, "co2fesi": 142, "co2g": 142, "co2gahf": 142, "co2gamn": 142, "co2ganb": 142, "co2gani": 142, "co2gasc": 142, "co2gata": 142, "co2gati": 142, "co2gav": 142, "co2gazn": 142, "co2gazr": 142, "co2ge3s3": 142, "co2ge3se3": 142, "co2ge3te3": 142, "co2gesi": 142, "co2hf": 142, "co2hf3si3": 142, "co2hfin": 142, "co2hfsc": 142, "co2hfsi2": 142, "co2hfsn": 142, "co2hfzn": 142, "co2hfzr": 142, "co2i": 142, "co2in5zr4": 142, "co2in9k": 142, "co2ini": 142, "co2insc6": 142, "co2inti": 142, "co2inzr": 142, "co2inzr2": 142, "co2kas2": 142, "co2kp2": 142, "co2ks2": 142, "co2kse2": 142, "co2mng": 142, "co2mnsb": 142, "co2mnsi": 142, "co2mnsn": 142, "co2mnti": 142, "co2mo3n": 142, "co2mo4n": 142, "co2mota3": 142, "co2n": 142, "co2na5s5": 142, "co2nb": 142, "co2nbsn": 142, "co2nbzn": 142, "co2ni2te5": 142, "co2nis4": 142, "co2nise4": 142, "co2niv": 142, "co2p": 142, "co2ps3": 142, "co2rbas2": 142, "co2rbp2": 142, "co2rbs2": 142, "co2rbse2": 142, "co2rhs4": 142, "co2s3": 142, "co2sc": 142, "co2sc3ge3": 142, "co2scg": 142, "co2scsi2": 142, "co2scsn": 142, "co2sczr": 142, "co2si": 142, "co2sn3te3": 142, "co2snti": 142, "co2sny6": 142, "co2snzr": 142, "co2sras2": 142, "co2srge2": 142, "co2srp2": 142, "co2srsi2": 142, "co2ta": 142, "co2ta11se8": 142, "co2tazn": 142, "co2ti": 142, "co2tig": 142, "co2tisi": 142, "co2tizn": 142, "co2tls2": 142, "co2tlse2": 142, "co2v4n": 142, "co2vg": 142, "co2vse4": 142, "co2vsi": 142, "co2vzn": 142, "co2w4c": 142, "co2y3": 142, "co2y3ge4": 142, "co2y3si3": 142, "co2y5te2": 142, "co2yge2": 142, "co2ysi2": 142, "co2zn11": 142, "co2zng": 142, "co2zns4": 142, "co2znzr": 142, "co2zr": 142, "co2zr3si3": 142, "co2zr9p4": 142, "co2zrsi2": 142, "co3cr": 142, "co3crzr2": 142, "co3cs2s4": 142, "co3cuzr8": 142, "co3fe13": 142, "co3fe3si2": 142, "co3fenb2": 142, "co3fes8": 142, "co3fezr2": 142, "co3ga": 142, "co3ga2i": 142, "co3ga9y2": 142, "co3ganb2": 142, "co3gay3": 142, "co3gazr2": 142, "co3ge2": 142, "co3ge2si": 142, "co3h": 142, "co3hf": 142, "co3hf2si4": 142, "co3i": 142, "co3in2s2": 142, "co3inn": 142, "co3mo": 142, "co3mo2si": 142, "co3mozr2": 142, "co3n": 142, "co3nb": 142, "co3nb2g": 142, "co3nb2si": 142, "co3ni": 142, "co3ni2i": 142, "co3ni9p4": 142, "co3nisb12": 142, "co3p": 142, "co3pt": 142, "co3rb2s4": 142, "co3ru": 142, "co3s4": 142, "co3sc2si": 142, "co3sc2si5": 142, "co3sc4sb4": 142, "co3se4": 142, "co3si": 142, "co3sn2": 142, "co3sn2s2": 142, "co3sn2ti2": 142, "co3sr3n5": 142, "co3ta": 142, "co3ta2g": 142, "co3ta2si": 142, "co3ti": 142, "co3ti2si": 142, "co3v": 142, "co3vzr2": 142, "co3w": 142, "co3w2p": 142, "co3y2si": 142, "co3y2si5": 142, "co3y4": 142, "co3znc": 142, "co4ga11zn": 142, "co4ga3g": 142, "co4gage3": 142, "co4gay4": 142, "co4h": 142, "co4hf4ge7": 142, "co4hf4si7": 142, "co4mn3ge6": 142, "co4mota": 142, "co4nb4si7": 142, "co4nbzr": 142, "co4ru": 142, "co4sc4ge7": 142, "co4sc5si10": 142, "co4snsb12": 142, "co4ta4si7": 142, "co4tazr": 142, "co4ti4si7": 142, "co4tizr": 142, "co4y5ge10": 142, "co4yg": 142, "co4ysi": 142, "co4zr4ge7": 142, "co5cu5y2": 142, "co5cus8": 142, "co5fe11": 142, "co5gay5": 142, "co5hf20p11": 142, "co5i": 142, "co5mnn4": 142, "co5ni5y2": 142, "co5nis8": 142, "co5niti4": 142, "co5te6": 142, "co6ga6i": 142, "co6hfge6": 142, "co6mn6i": 142, "co6mota": 142, "co6nb7": 142, "co6sn5y3": 142, "co6ta7": 142, "co6tige6": 142, "co6zrge6": 142, "co7fe9": 142, "co7ga16hf6": 142, "co7ge4": 142, "co7hf2": 142, "co7hf4ge6": 142, "co7in14zr9": 142, "co7mo6": 142, "co7nb6": 142, "co7nip4": 142, "co7ti4ge6": 142, "co7zr4ge6": 142, "co8fes8": 142, "co8hf3ta": 142, "co8mnzr3": 142, "co9mov2": 142, "co9s8": 142, "co9se8": 142, "co9v2w": 142, "co9ysi2": 142, "coa": 142, "coas2": 142, "coas3": 142, "coass": 142, "coch2o": [129, 142], "coch2oh": [129, 142], "coch3": [129, 142], "cocho": [129, 142], "cocl2": 142, "cocr2p3": 142, "cocr2s4": 142, "cocr2se4": 142, "cocr2te4": 142, "cocra": 142, "cocrg": 142, "cocrmn2": 142, "cocrp": 142, "cocrpt2": 142, "cocrsi": 142, "cocrsi2": 142, "cocrta": 142, "cocrv": 142, "cocrzr": 142, "cocs2s2": 142, "cocs2se2": 142, "cocscl3": 142, "cocsn": 142, "cocuhf2": 142, "cocus4": 142, "cocusc2": 142, "code": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 129, 130, 131, 140, 146, 151, 155, 156], "code_obj": 138, "codebas": [139, 140, 146, 147], "coeff": 147, "coeffici": [43, 44, 51, 53, 64, 77, 92, 132, 147, 157], "coefficient_idx": [44, 53], "coefficientmap": 53, "coefficientmappingmodul": [39, 43, 44, 49], "coerc": 156, "cofe": 142, "cofe15": 142, "cofe2se4": 142, "cofe2si": 142, "cofe3": 142, "cofe7": 142, "cofea": 142, "cofeas4": 142, "cofeg": 142, "cofega2": 142, "cofei": 142, "cofep": 142, "cofes4": 142, "cofesb4": 142, "cofesi": 142, "cofesi2": 142, "cofesn2": 142, "cofeti2": 142, "cofezr": 142, "cofezr4": 142, "coga2hf": 142, "coga2ir": 142, "coga2ni": 142, "coga2ru": 142, "coga2s4": 142, "coga2zr": 142, "coga2zr6": 142, "coga3": 142, "coga3hf2": 142, "coga3zr2": 142, "coga5hf": 142, "coga5i": 142, "coga5sc": 142, "coga5ti": 142, "coga5zr": 142, "coga8sc2": 142, "coga8y2": 142, "cogai": 142, "cogazr": 142, "coge": 142, "coge2": 142, "coget": 142, "coh": [129, 142], "coh4": 156, "cohch2": 142, "cohch2oh": [129, 142], "cohch3": [129, 142], "cohcho": [129, 142], "cohchoh": [129, 142], "cohcoh": [129, 142], "cohf": 142, "cohf2": 142, "cohf2ir": 142, "cohf2mn": 142, "cohf2o": 142, "cohf2p": 142, "cohf2tc": 142, "cohf3s6": 142, "cohf4p": 142, "cohf5as3": 142, "cohf6sb2": 142, "cohfa": 142, "cohfg": 142, "cohfp": 142, "cohfsi": 142, "cohfsn": 142, "coi": 142, "coin3": 142, "coin5i": 142, "coin8y2": 142, "coirsc2": 142, "coirti2": 142, "coirv6": 142, "cok2s2": 142, "cok2se2": 142, "cokcl3": 142, "cokn": 142, "colab": 150, "collat": [17, 121, 122, 147, 157], "collate_and_sav": [121, 122], "collect": [17, 109, 110, 121, 122, 147], "collid": 147, "color": [147, 156], "colorbar": 156, "columbit": 132, "column": [25, 26, 147, 149], "com": [32, 66, 79, 94, 99, 129, 130, 133, 134, 138, 139, 141, 142, 146, 147, 148, 156], "combin": [4, 9, 36, 38, 57, 58, 70, 71, 84, 85, 132, 147, 153], "combineyrot": 105, "combo": 154, "come": [132, 135, 147, 148], "command": [129, 132, 133, 134, 150, 157], "comment": 134, "commit": [135, 138, 147, 158], "common": [0, 30, 98, 119, 121, 122, 125, 126, 129, 130, 131, 132, 134, 135, 139, 144, 147, 151, 153, 154, 156, 157, 158], "commonli": 147, "commun": [129, 139, 146, 147], "communn": 147, "comn": 142, "comn2a": 142, "comn2g": 142, "comn2n2": 142, "comn2si": 142, "comn3": 142, "comn3as2": 142, "comn3n3": 142, "comn3p4": 142, "comna": 142, "comng": 142, "comni": 142, "comnn2": 142, "comnp": 142, "comnp2": 142, "comnsb": 142, "comnsi": 142, "comnsi2": 142, "comnsn4": 142, "comnt": 142, "comnti2": 142, "como12se16": 142, "como3zr2": 142, "como4zr9": 142, "comop": 142, "comop2": 142, "comosi": 142, "comoti2": 142, "comp": 151, "compar": [132, 152, 153, 154, 156], "comparison": [134, 153], "compat": [0, 4, 30, 36, 38, 111, 116, 119, 147, 151, 158], "complet": [17, 135, 141, 147], "complex": 153, "complex_idx": [44, 53], "complic": 154, "compon": [36, 38, 40, 43, 49, 146], "composit": [129, 130, 132, 151, 158], "comprehens": 150, "compress": [41, 129, 130, 131], "compromis": 132, "compscienc": 98, "comput": [4, 19, 25, 27, 28, 36, 38, 51, 52, 59, 72, 86, 98, 100, 101, 103, 110, 128, 129, 131, 134, 136, 140, 142, 143, 147, 148, 151, 153, 156], "computation": 147, "compute_neighbor": 17, "con": [138, 142, 147, 148, 149], "cona2s2": 142, "cona2se2": 142, "cona6s4": 142, "cona6se4": 142, "conb3s6": 142, "conb3se6": 142, "conb4p": 142, "conb4pt3": 142, "conb4se8": 142, "conb4si": 142, "conba": 142, "conbg": 142, "conbp": 142, "conbsb": 142, "conbsi": 142, "conbsn": 142, "conbte2": 142, "conbv": 142, "concaten": [40, 54, 55, 61, 63, 66, 67, 68, 74, 76, 79, 80, 81, 88, 91, 94, 98, 147], "concept": [8, 157], "conceptu": [134, 153], "concern": 147, "condit": [32, 36, 38, 51, 52, 66, 79, 80, 81, 94, 98, 100, 101, 103, 121, 122, 137], "conditional_grad": [17, 133], "config": [2, 4, 7, 8, 15, 17, 19, 25, 27, 28, 45, 46, 48, 119, 120, 123, 124, 126, 127, 128, 129, 130, 132, 133, 134, 139, 140, 142, 144, 149, 151, 153, 154, 157, 158], "config_id": 142, "config_idx": 154, "config_yml": [9, 157], "configs_for_dedupl": 154, "configs_for_dft": 154, "configur": [25, 27, 28, 45, 46, 126, 127, 134, 139, 141, 142, 147, 152, 153, 156, 158], "coni2s4": 142, "coni2se4": 142, "coni2ti": 142, "coni3si4": 142, "coni5s8": 142, "conia": 142, "conias2": 142, "conig": 142, "conii": 142, "conip": 142, "conipt2": 142, "conis4": 142, "conisb6": 142, "conisc2": 142, "conise2": 142, "conisi": 142, "conisi4": 142, "conita4": 142, "conite2": 142, "conite4": 142, "coniti2": 142, "coniv6": 142, "conizr": 142, "conizr2": 142, "conizr4": 142, "conjug": 147, "connect": [19, 25, 32, 34, 54, 55, 63, 66, 67, 68, 76, 79, 80, 81, 83, 91, 94, 98, 128, 132, 134, 137, 147, 158], "connect_arg": [19, 25, 128], "connect_db": [19, 25, 27, 28], "consecut": [66, 79, 94, 99], "consequ": 147, "consid": [34, 66, 79, 94, 121, 122, 128, 129, 130, 131, 132, 133, 134, 139, 141, 142, 144, 146, 147, 149, 151, 153, 154, 156], "consider": 147, "consist": [141, 147, 149, 158], "consistenli": 147, "consol": 17, "constant": [59, 72, 86, 153, 156], "constrain": 153, "constraint": [133, 138, 142, 148, 153], "construct": [25, 27, 98, 121, 122, 132, 138, 141, 147, 149, 151, 153, 156, 158], "consum": 151, "contain": [0, 15, 17, 19, 25, 27, 28, 31, 32, 33, 34, 37, 40, 41, 44, 54, 55, 58, 59, 67, 68, 71, 72, 80, 81, 83, 85, 86, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 128, 129, 130, 131, 132, 138, 140, 141, 147, 148, 149, 156], "context": 4, "context_decor": 133, "contextlib": 133, "contiguous_chunk": 4, "continu": [21, 100, 132, 138, 142, 147, 154], "continuous_embed": [0, 22, 25, 30], "continuous_index": [66, 79, 94, 99], "contract": [32, 98, 137, 147], "contrast": 139, "contribut": [147, 151], "control": [54, 55, 64, 65, 67, 68, 77, 78, 80, 81, 92, 93, 147, 148, 149], "contruct": 42, "conv": [43, 49, 51], "conv1": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "conv2": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "conv2d": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "conveni": [128, 129], "convention": 153, "converg": 147, "convers": 147, "convert": [17, 31, 32, 33, 34, 37, 39, 40, 44, 49, 51, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 130, 132, 133, 134, 140, 141, 144, 147, 149, 150, 151, 153, 154, 156], "convert_al": [121, 122, 138, 147, 148], "convolut": [36, 38, 43, 49, 51, 52, 100, 101, 103, 105, 158], "cooh": 142, "coordin": [59, 72, 86, 100, 129, 153, 158], "coorespond": 154, "coossc2": 142, "coosti2": 142, "cooszr2": 142, "cop": 142, "cop2": 142, "cop3": 142, "cop3si3": 142, "copd2se2": 142, "copd2te2": 142, "copdp": 142, "copi": [17, 32, 54, 55, 67, 68, 98, 110, 137, 142, 147, 151, 154], "copper": [147, 149, 154], "cops": 142, "cops3": 142, "copt": 142, "copt3": 142, "coptsc2": 142, "copy_to": 110, "copy_to_model_parallel_region": 4, "copyright": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 137, 147], "copytomodelparallelregion": 4, "corb2s2": 142, "corb2se2": 142, "corbn": 142, "core": [19, 25, 26, 129, 132, 134, 138, 145, 147, 151, 154, 156, 157], "core3": 142, "coreti2": 142, "corh2s4": 142, "corh2sb": 142, "corh2sn": 142, "corha": 142, "corhs4": 142, "corhsc2": 142, "corhv6": 142, "correct": [4, 36, 38, 66, 79, 80, 81, 94, 140, 151, 153, 154], "correct_shap": 156, "correctli": [141, 147], "correl": 151, "correspond": [4, 11, 19, 25, 26, 43, 82, 121, 122, 129, 130, 132, 141, 147, 148, 149, 156, 158], "coru": 142, "coru3y2": 142, "corus4": 142, "corusc2": 142, "cos2": 142, "cosb2": 142, "cosbs": 142, "cosc": 142, "cosc2ge2": 142, "cosc2si2": 142, "cosc3": 142, "cosc6te2": 142, "coscg": 142, "coscp": 142, "coscsi": 142, "coscsn": 142, "cosct": 142, "cose": 142, "cose2": 142, "coset": 142, "cosi2": 142, "cosin": [48, 54, 55, 65, 67, 68, 78, 80, 81, 147, 154, 156], "cosine_lr_lambda": 48, "cosine_similar": [109, 132, 147, 154, 156, 157], "cosinelrlambda": 48, "cosn": 142, "cosn2zr6": 142, "cosn3": 142, "cosni": 142, "cosnti": 142, "cosr2n2": 142, "cosr3n3": 142, "coss": 142, "cossb": 142, "cossim1": 156, "cossim2": 156, "cossim3": 156, "cost": [19, 25, 147, 158], "cos\u03c6": 133, "cos\u03c6_abd": [80, 81, 133], "cos\u03c6_cab": [65, 78, 80, 81, 93, 133], "cos\u03c6_cab_q": 133, "cota": 142, "cota2": 142, "cota3s6": 142, "cota4p": 142, "cotaa": 142, "cotag": 142, "cotap": 142, "cotasb": 142, "cotasi": 142, "cotate2": 142, "cotav": 142, "cotc3": 142, "cotcti2": 142, "cotczr2": 142, "cote": 142, "cote2": 142, "coti": 142, "coti2": 142, "coti2s4": 142, "coti2se4": 142, "coti3s6": 142, "coti4s8": 142, "coti5sb2": 142, "coti5sb3": 142, "coti5se10": 142, "cotig": 142, "cotip": 142, "cotisb": 142, "cotisi": 142, "cotlcl3": 142, "could": [15, 25, 27, 54, 55, 67, 68, 129, 132, 133, 134, 142, 147, 149, 153, 156, 158], "count": [25, 26, 59, 72, 86, 128, 154], "counter": [54, 55, 67, 68, 80, 81, 97, 98], "counterpart": [129, 130], "cours": 147, "cov2s4": 142, "cov2se4": 142, "cov3": 142, "cova": 142, "coval": 21, "cover": [132, 147], "coverag": 153, "covg": 142, "covp": 142, "covsb": 142, "covsi": 142, "covzr": 142, "cow2cl10": 142, "cowp": 142, "coy2ge6": 142, "coy2si2": 142, "coy3": 142, "coyg": 142, "coyge2": 142, "coysi2": 142, "cozn13": 142, "cozn3": 142, "cozn4se5": 142, "cozr2": 142, "cozr2h5": 142, "cozr2p": 142, "cozr2s4": 142, "cozr2si2": 142, "cozr3": 142, "cozr3se6": 142, "cozr4p": 142, "cozr6as2": 142, "cozr6cl15": 142, "cozr6te2": 142, "cozrg": 142, "cozrh3": 142, "cozrp": 142, "cozrsi": 142, "cpdir": 132, "cpline": 132, "cpu": [9, 17, 45, 46, 98, 102, 125, 126, 127, 128, 132, 133, 134, 140, 141, 144, 151, 153, 154, 157], "cr": 142, "cr11k3s18": 142, "cr11nis16": 142, "cr12p7": 142, "cr13mn2s20": 142, "cr21mo2c6": 142, "cr21w2c6": 142, "cr2a": 142, "cr2assb": 142, "cr2cge": 142, "cr2css4": 142, "cr2cus4": 142, "cr2cuse4": 142, "cr2cute4": 142, "cr2fes4": 142, "cr2fese4": 142, "cr2fete4": 142, "cr2ga6hf3": 142, "cr2ga6zr3": 142, "cr2gac": 142, "cr2gan": 142, "cr2gas4": 142, "cr2hf": 142, "cr2hgs4": 142, "cr2hgse4": 142, "cr2ks4": 142, "cr2mns4": 142, "cr2mnse4": 142, "cr2mop3": 142, "cr2n": 142, "cr2nas4": 142, "cr2nb": 142, "cr2nb4si5": 142, "cr2nis4": 142, "cr2nise4": 142, "cr2p": 142, "cr2rbs4": 142, "cr2s3": 142, "cr2se3": 142, "cr2sr9n8": 142, "cr2sras2": 142, "cr2te3": 142, "cr2ti": 142, "cr2ti4ge5": 142, "cr2tip3": 142, "cr2tis4": 142, "cr2tise4": 142, "cr2tisi6": 142, "cr2tite4": 142, "cr2vc2": 142, "cr2vs4": 142, "cr2vsi6": 142, "cr2vte4": 142, "cr2ys4": 142, "cr2zns4": 142, "cr2znse4": 142, "cr2zr": 142, "cr3a": 142, "cr3as2sb": 142, "cr3asc": 142, "cr3asn": 142, "cr3c2": 142, "cr3cge": 142, "cr3cuta2": 142, "cr3fe9i": 142, "cr3feas4": 142, "cr3fezr2": 142, "cr3ga": 142, "cr3ga4": 142, "cr3gan": 142, "cr3ge": 142, "cr3gen": 142, "cr3hf2si": 142, "cr3ir": 142, "cr3irn": 142, "cr3ks5": 142, "cr3mn3p2": 142, "cr3mo3si2": 142, "cr3n2": 142, "cr3n4": 142, "cr3na2se6": 142, "cr3nb2si3": 142, "cr3nb5se20": 142, "cr3nip4": 142, "cr3np": 142, "cr3p": 142, "cr3pdn": 142, "cr3pt": 142, "cr3ptn": 142, "cr3rh3s8": 142, "cr3rhn": 142, "cr3s4": 142, "cr3sc2si4": 142, "cr3se2te2": 142, "cr3se4": 142, "cr3si": 142, "cr3sr8n8": 142, "cr3ta2si": 142, "cr3te4": 142, "cr3ti2si": 142, "cr3tls5": 142, "cr3v": 142, "cr3v2si3": 142, "cr3v3si2": 142, "cr3vas4": 142, "cr4as3": 142, "cr4cu3se8": 142, "cr4cu3te8": 142, "cr4nb2si5": 142, "cr4nbti": 142, "cr4nbzr": 142, "cr4s3se3": 142, "cr4tazr": 142, "cr4ti2si5": 142, "cr4tizr": 142, "cr4zns8": 142, "cr4zr2si5": 142, "cr5csi3": 142, "cr5css8": 142, "cr5csse8": 142, "cr5cste8": 142, "cr5inse8": 142, "cr5ks8": 142, "cr5kse8": 142, "cr5kte8": 142, "cr5nase8": 142, "cr5nias3": 142, "cr5nis8": 142, "cr5rbs8": 142, "cr5rbse8": 142, "cr5s6": 142, "cr5s8": 142, "cr5se2te6": 142, "cr5se8": 142, "cr5si3": 142, "cr5ta3n4": 142, "cr5te6": 142, "cr5te8": 142, "cr5v4s10": 142, "cr5v5ge6": 142, "cr5zrp3": 142, "cr6ni16si7": 142, "cr6scge6": 142, "cr6yge6": 142, "cr7c3": 142, "cr7se8": 142, "cr7te8": 142, "cr9ti3si4": 142, "cra": 142, "craft": 158, "cras2": 142, "crash": [151, 153], "crc": 142, "crcl2": 142, "crcl3": 142, "crcs2cl4": 142, "crcscl3": 142, "crcus2": 142, "crcus4": 142, "crcuse2": 142, "creat": [0, 4, 9, 17, 34, 54, 55, 67, 68, 83, 98, 125, 126, 132, 134, 135, 138, 148, 150, 151, 153, 154, 156, 158], "create_dict_from_arg": 17, "create_grid": 17, "create_indic": [25, 26], "creation": 147, "creativ": [129, 130, 131, 139], "credenti": 134, "crfe11i": 142, "crfe11si4": 142, "crfe2as6": 142, "crfe2ga": 142, "crfe2se4": 142, "crfe2si": 142, "crfe2v": 142, "crfe3as4": 142, "crfe3zr2": 142, "crfea": 142, "crfeas2": 142, "crfeas4": 142, "crfege2": 142, "crfenb": 142, "crfep": 142, "crfep2": 142, "crfesi2": 142, "crfeta2": 142, "crfev2": 142, "crfezr": 142, "crga": 142, "crga2hf": 142, "crga2s4": 142, "crga4": 142, "crganb": 142, "crgarh2": 142, "crgaru2": 142, "crgase3": 142, "crgete3": 142, "crh": 142, "crh2": 142, "crhfge2": 142, "crhfp": 142, "crhfsi": 142, "crin2s4": 142, "crir": 142, "crir3": 142, "crirti2": 142, "critic": 133, "crkcl3": 142, "crks2": 142, "crmn2as3": 142, "crmn2n3": 142, "crmn2se3": 142, "crmn2si": 142, "crmn3as4": 142, "crmn3n3": 142, "crmn3p4": 142, "crmn3te4": 142, "crmnn2": 142, "crmnp2": 142, "crmnpt6": 142, "crmnsc": 142, "crmnsi2": 142, "crmnte2": 142, "crmnti": 142, "crmnv2": 142, "crmnzr": 142, "crmo2s4": 142, "crmoas2": 142, "crmov": 142, "crmozr": 142, "crn": 142, "crna2cl4": 142, "crna6n4": 142, "crnan2": 142, "crnas2": 142, "crnase2": 142, "crnb2o": 142, "crnb2ru": 142, "crnb2se4": 142, "crnb3s6": 142, "crnb3se6": 142, "crnb4s8": 142, "crnb4si3": 142, "crnbge": 142, "crnbn": 142, "crnbni": 142, "crnbp": 142, "crnbs5": 142, "crnbse5": 142, "crnbsi": 142, "crnbv": 142, "crni2": 142, "crni2n3": 142, "crni3": 142, "crni3sb4": 142, "crnia": 142, "crnip": 142, "crnisb2": 142, "crnisi": 142, "crnita": 142, "cross": [17, 94], "crosta2": 142, "crosv2": 142, "crp": 142, "crp2": 142, "crp2s7": 142, "crp4": 142, "crpd3": 142, "crpda": 142, "crps4": 142, "crpse3": 142, "crpt": 142, "crpt3": 142, "crpt4": 142, "crrb2cl4": 142, "crrbcl3": 142, "crrev2": 142, "crrh": 142, "crrh2se4": 142, "crrh2sn": 142, "crrh2te4": 142, "crrh3": 142, "crrha": 142, "crru2g": 142, "crru2si": 142, "crru2sn": 142, "crrua": 142, "crruta2": 142, "crruv2": 142, "crs2": 142, "crs3sb": 142, "crsbse3": 142, "crse2": 142, "crsi": 142, "crsi2": 142, "crsite3": 142, "crsr3n3": 142, "crsr4n4": 142, "crsrn2": 142, "crta2si6": 142, "crta3s6": 142, "crta3se6": 142, "crtap": 142, "crtc2ti": 142, "crtcv2": 142, "crte3": 142, "crti10sb5": 142, "crti2se4": 142, "crti2si6": 142, "crti2te4": 142, "crti4te8": 142, "crtia": 142, "crtias2": 142, "crtin2": 142, "crtip": 142, "crtis2": 142, "crtisi4": 142, "crtls2": 142, "crtlte2": 142, "crv": 142, "crv2s4": 142, "crv2se4": 142, "crv2te4": 142, "crv3": 142, "crvas2": 142, "crvp2": 142, "crvsi4": 142, "crvzr": 142, "crw3p8": 142, "crwn2": 142, "crwp2": 142, "crwzr": 142, "cry2h6": 142, "cry2n3": 142, "cry4s7": 142, "crzn2n3": 142, "crznn2": 142, "crzr2n3": 142, "crzr5sb2": 142, "crzrp": 142, "crzrsi": 142, "cs14": 142, "cs2": 142, "cs2as2si": 142, "cs2as3": 142, "cs2aste3": 142, "cs2cl6ge": 142, "cs2cl6se": 142, "cs2cl6te": 142, "cs2ge2s5": 142, "cs2gese3": 142, "cs2gese4": 142, "cs2gete4": 142, "cs2hfcl6": 142, "cs2hgcl4": 142, "cs2in3": 142, "cs2ircl6": 142, "cs2mn3s4": 142, "cs2mn3se4": 142, "cs2mncl4": 142, "cs2mns2": 142, "cs2mnse2": 142, "cs2mnte2": 142, "cs2mocl6": 142, "cs2mos4": 142, "cs2ni3se4": 142, "cs2p2si": 142, "cs2p3": 142, "cs2pbcl6": 142, "cs2pd3s4": 142, "cs2pd3se4": 142, "cs2pdas2": 142, "cs2pdcl4": 142, "cs2pdcl6": 142, "cs2pdp2": 142, "cs2pdsb2": 142, "cs2pse5": 142, "cs2pt3s4": 142, "cs2pt3se4": 142, "cs2ptas2": 142, "cs2ptcl4": 142, "cs2ptcl6": 142, "cs2pth4": 142, "cs2pth6": 142, "cs2ptsb2": 142, "cs2s3": 142, "cs2s3si": 142, "cs2sb": 142, "cs2se": 142, "cs2se3": 142, "cs2se4si": 142, "cs2snas2": 142, "cs2sncl6": 142, "cs2snse3": 142, "cs2snte4": 142, "cs2tacl6": 142, "cs2te": 142, "cs2te3": 142, "cs2te5": 142, "cs2ticl6": 142, "cs2tis3": 142, "cs2vcl6": 142, "cs2zn3s4": 142, "cs2zncl4": 142, "cs2zrcl6": 142, "cs2zrse3": 142, "cs3a": 142, "cs3as2cl9": 142, "cs3ascl6": 142, "cs3asse4": 142, "cs3cl6sb": 142, "cs3cl9sb2": 142, "cs3fe2cl9": 142, "cs3gacl6": 142, "cs3in2cl9": 142, "cs3incl6": 142, "cs3mnh5": 142, "cs3napb4": 142, "cs3pdh5": 142, "cs3pth5": 142, "cs3sb": 142, "cs3sb5se9": 142, "cs3sbse3": 142, "cs3sbse4": 142, "cs3sc2cl9": 142, "cs3sccl6": 142, "cs3snte3": 142, "cs3te22": 142, "cs3tlcl6": 142, "cs3vse4": 142, "cs3ycl6": 142, "cs3znh5": 142, "cs4ga2se5": 142, "cs4p2se9": 142, "cs4pbcl6": 142, "cs5ga3se7": 142, "cs5hg19": 142, "cs6inas3": 142, "cscl": 142, "cscl6sb": 142, "cscu2cl3": 142, "cscu3s2": 142, "cscu4s3": 142, "cscu4se3": 142, "cscu5s3": 142, "cscucl3": 142, "cscus4": 142, "cscuse4": 142, "csfe2as2": 142, "csfe2p2": 142, "csfe2s3": 142, "csfe2se3": 142, "csfecl3": 142, "csfecl4": 142, "csfes2": 142, "csga3": 142, "csga3s5": 142, "csga7": 142, "csgacl4": 142, "csgah4": 142, "csgas2": 142, "csgas3": 142, "csgase3": 142, "csh": 142, "csh5n2": 142, "cshg": 142, "cshg2": 142, "cshg5cl11": 142, "cshgcl3": 142, "csi": 142, "csin3": 142, "csin5s8": 142, "csincl3": 142, "csins2": 142, "csinse2": 142, "csir2as2": 142, "csir2p2": 142, "csk2a": 142, "csk2sb": 142, "csmn2p2": 142, "csmna": 142, "csmnp": 142, "csmnse2": 142, "csmnte2": 142, "csmo3s3": 142, "csmo3se3": 142, "csmo3te3": 142, "csmo6se7": 142, "csmo6te7": 142, "csn3": 142, "csn7p4": 142, "csna": 142, "csna2": 142, "csnage2": 142, "csnase": 142, "csnate": 142, "csnb4cl11": 142, "csnb6s8": 142, "csnb6te8": 142, "csnicl3": 142, "csp7": 142, "cspb2cl5": 142, "cspb3": 142, "cspbcl3": 142, "cspd2cl5": 142, "cspdcl3": 142, "csps3": 142, "cspse6": 142, "cspt2se3": 142, "csrb2sb": 142, "csren2": 142, "csrh2as2": 142, "csrh2p2": 142, "csru2as2": 142, "csru2p2": 142, "css": 142, "css2sb": 142, "css3": 142, "css4sb2": 142, "css6sb": 142, "cssb": 142, "cssb2se4": 142, "cssccl3": 142, "csse3t": 142, "cssite3": 142, "cssn3": 142, "cssncl3": 142, "cssns3": 142, "cssnse3": 142, "cssrcl3": 142, "cssrn9": 142, "cstan2": 142, "cstas3": 142, "cstase3": 142, "cste": 142, "csti2cl7": 142, "csti5se8": 142, "csti6se8": 142, "csticl3": 142, "cstlcl3": 142, "csv5s8": 142, "csv5se8": 142, "csv6s8": 142, "csvcl3": 142, "csvn2": 142, "cswcl6": 142, "csy2cl7": 142, "cszn4p3": 142, "cszn8": 142, "ctx": [4, 157], "ctx_factori": 133, "cu": [133, 142, 147, 149, 150, 153, 154], "cu10hf7": 142, "cu10in7": 142, "cu10zr7": 142, "cu117": 135, "cu11s13sb4": 142, "cu11sb3": 142, "cu121": 158, "cu12as4s13": 142, "cu12s13sb4": 142, "cu15si4": 142, "cu18s11": 142, "cu2": 142, "cu27c3h8": [147, 149], "cu2ga3mn4": 142, "cu2ga4y3": 142, "cu2gasc": 142, "cu2gasr": 142, "cu2gati": 142, "cu2ges3": 142, "cu2ges4": 142, "cu2gese3": 142, "cu2gese4": 142, "cu2gete3": 142, "cu2hf2in": 142, "cu2hfin": 142, "cu2hfte3": 142, "cu2hfzn": 142, "cu2hgzr": 142, "cu2i": 142, "cu2in2sr": 142, "cu2ini": 142, "cu2insc": 142, "cu2insc2": 142, "cu2inti": 142, "cu2iny2": 142, "cu2inzr": 142, "cu2k2te5": 142, "cu2k3h7": 142, "cu2kse2": 142, "cu2mncl4": 142, "cu2mo3se4": 142, "cu2nizn": 142, "cu2pd2p": 142, "cu2pd3se4": 142, "cu2s3si": 142, "cu2sb": 142, "cu2sc": 142, "cu2scsi2": 142, "cu2sczn": 142, "cu2se3si": 142, "cu2site3": 142, "cu2sn2i": 142, "cu2sn2sr": 142, "cu2sns3": 142, "cu2snse3": 142, "cu2snse4": 142, "cu2snte3": 142, "cu2sras2": 142, "cu2srge2": 142, "cu2srsb2": 142, "cu2srsi2": 142, "cu2ta3s6": 142, "cu2ti": 142, "cu2ti5s10": 142, "cu2tip": 142, "cu2tite3": 142, "cu2tizn": 142, "cu2tizr3": 142, "cu2tlte2": 142, "cu2v7s12": 142, "cu2ws4": 142, "cu2wse4": 142, "cu2yge2": 142, "cu2ysi2": 142, "cu2zn": 142, "cu2znzr": 142, "cu2zr": 142, "cu2zrcl6": 142, "cu2zrp2": 142, "cu2zrte3": 142, "cu3ass3": 142, "cu3ass4": 142, "cu3asse4": 142, "cu3fes4": 142, "cu3fes8": 142, "cu3g": 142, "cu3ga": 142, "cu3ga7se12": 142, "cu3hf": 142, "cu3k3as2": 142, "cu3k3p2": 142, "cu3ks2": 142, "cu3kte2": 142, "cu3mo12s16": 142, "cu3nate2": 142, "cu3nbs4": 142, "cu3nbse4": 142, "cu3nbte4": 142, "cu3ni9ta4": 142, "cu3niti8": 142, "cu3p": 142, "cu3pd": 142, "cu3pd13s7": 142, "cu3pd2": 142, "cu3ps4": 142, "cu3pse4": 142, "cu3pt": 142, "cu3ru": [142, 151], "cu3s2": 142, "cu3s3sb": 142, "cu3s4sb": 142, "cu3sb": 142, "cu3sbse3": 142, "cu3sbse4": 142, "cu3sc": 142, "cu3scse3": 142, "cu3se2": 142, "cu3si": 142, "cu3sr6n5": 142, "cu3tas4": 142, "cu3tase4": 142, "cu3tate4": 142, "cu3te2": 142, "cu3ti": 142, "cu3ti2": 142, "cu3ti8s16": 142, "cu3v4s8": 142, "cu3vs4": 142, "cu3vse4": 142, "cu3vte4": 142, "cu3y2si": 142, "cu3y3sb4": 142, "cu3ys3": 142, "cu3yse3": 142, "cu3yte3": 142, "cu3zn": 142, "cu3zr": 142, "cu4ga7y3": 142, "cu4gani15": 142, "cu4hf3ge2": 142, "cu4hf3si2": 142, "cu4hf3si4": 142, "cu4ini": 142, "cu4insc": 142, "cu4k3s4": 142, "cu4kas2": 142, "cu4ks3": 142, "cu4ksb2": 142, "cu4na2s3": 142, "cu4na3s4": 142, "cu4nas4": 142, "cu4nasb2": 142, "cu4nb5si4": 142, "cu4p8si": 142, "cu4pd": 142, "cu4sc3ge4": 142, "cu4sc3si4": 142, "cu4scsn": 142, "cu4se3": 142, "cu4sn2sr": 142, "cu4sn4y3": 142, "cu4sn7s16": 142, "cu4snp10": 142, "cu4sns4": 142, "cu4sras2": 142, "cu4ti": 142, "cu4ti3": 142, "cu4tis4": 142, "cu4tls3": 142, "cu4tlse3": 142, "cu4y3ge4": 142, "cu4y3si4": 142, "cu4zr3ge2": 142, "cu4zr3si2": 142, "cu4zr3si4": 142, "cu4zr3si6": 142, "cu5fes4": 142, "cu5i": 142, "cu5in7i": 142, "cu5ni5y2": 142, "cu5sn2se7": 142, "cu5sn2te7": 142, "cu5sn4": 142, "cu5sr": 142, "cu5zn8": 142, "cu5zr": 142, "cu6as4s9": 142, "cu6sn5": 142, "cu6sr2p5": 142, "cu6tls4": 142, "cu7as6se13": 142, "cu7in3": 142, "cu7in8se16": 142, "cu7ks4": 142, "cu7si2": 142, "cu7tls4": 142, "cu8ges6": 142, "cu8k3s6": 142, "cu8k3se6": 142, "cu8s6si": 142, "cu8se6si": 142, "cu9fe9s16": 142, "cu9s5": 142, "cu9se5": 142, "cu9se8": 142, "cu9srge4": 142, "cuass": 142, "cuast": 142, "cucl": 142, "cucl2": 142, "cucl4": 142, "cuclte2": 142, "cuco_adslab": [138, 148], "cuda": [11, 13, 89, 132, 133, 134, 135, 144, 147, 151, 153, 154, 156, 157, 158], "cufe2ge2": 142, "cufe2s3": 142, "cufeti2": 142, "cuga2cl8": 142, "cuga3hf2": 142, "cuga3i": 142, "cuga3sc2": 142, "cuga3y2": 142, "cuga3zr2": 142, "cuga5se8": 142, "cuga5te8": 142, "cugacl4": 142, "cugahf": 142, "cuganb": 142, "cugani2": 142, "cugapd2": 142, "cugapt2": 142, "cugarh2": 142, "cugas2": 142, "cugasc": 142, "cugasc2": 142, "cugase2": 142, "cugate2": 142, "cugazr": 142, "cuge2n3": 142, "cuhf2": 142, "cuhf2ge4": 142, "cuhf2ir": 142, "cuhf2o": 142, "cuhf2r": 142, "cuhf2rh": 142, "cuhf2si4": 142, "cuhf2tc": 142, "cuhf4p": 142, "cuhf4si3": 142, "cuhf4si4": 142, "cuhf5pb3": 142, "cuhf5sb3": 142, "cuhf5sn3": 142, "cuhfg": 142, "cuhfge2": 142, "cuhfsi": 142, "cuhfsi2": 142, "cuhfsn": 142, "cui": 142, "cuin2se4": 142, "cuin3se5": 142, "cuin3y2": 142, "cuin5s8": 142, "cuin5se8": 142, "cuin5te8": 142, "cuini": 142, "cuinpd2": 142, "cuinpt2": 142, "cuins2": 142, "cuinse2": 142, "cuinte2": 142, "cuir2s4": 142, "cuirsc2": 142, "cuirti2": 142, "cuiry2": 142, "cuirzn2": 142, "cuk": 142, "cuk2a": 142, "cuk2cl3": 142, "cuk2h4": 142, "cuk2p": 142, "cuk2sb": 142, "cuk5as2": 142, "cuk5sb2": 142, "cukcl3": 142, "cukt": 142, "cull": 154, "cumn10ge5": 142, "cumn10n8": 142, "cumn3n": 142, "cumnpd2": 142, "cumnpt6": 142, "cumnse4": 142, "cumo6s8": 142, "cumo6se8": 142, "cun2p": 142, "cuna2a": 142, "cuna2p": 142, "cunas": 142, "cunat": 142, "cunb2s4": 142, "cunb2se4": 142, "cunb2te4": 142, "cunb4se8": 142, "cunb4si": 142, "cunbse2": 142, "cunbte2": 142, "cuni2sn": 142, "cuni2ti": 142, "cuni2zn": 142, "cuni3s8": 142, "cuniti": 142, "cuniti2": 142, "cunizn2": 142, "cunizr4": 142, "cuossc2": 142, "cuosy2": 142, "cuoszr2": 142, "cup2": 142, "cup3si2": 142, "cupb3y5": 142, "cupb3zr5": 142, "cupbi": 142, "cupbrh2": 142, "cupd": 142, "cupd2sc": 142, "cupd2sn": 142, "cupd2zn": 142, "cupd3": [142, 151], "cupdsc2": 142, "cups3": 142, "cupt2s4": 142, "cupt2zn": 142, "cupt7": 142, "cuptsc2": 142, "cupty2": 142, "cuptzn2": 142, "curb2cl4": 142, "curbcl3": 142, "curbse4": 142, "curezr2": 142, "curh2g": 142, "curh2s4": 142, "curh2sb": 142, "curh2se4": 142, "curh2si": 142, "curh2sn": 142, "curh2ta": 142, "curh2v": 142, "curhsc2": 142, "curhy2": 142, "curhzn2": 142, "current": [4, 19, 45, 46, 110, 126, 127, 133, 141, 142, 147, 153, 158], "current_step": [17, 48], "curu3": 142, "curusc2": 142, "curuy2": 142, "curv": 132, "cus2": 142, "cus2sb": 142, "cusbse2": 142, "cusc": 142, "cusc2tc": 142, "cusc2zn": 142, "cuscg": 142, "cuscs2": 142, "cuscse2": 142, "cuscsi": 142, "cuscsn": 142, "cusczn": 142, "cusczn2": 142, "cuse": 142, "cuse2": 142, "cuset": 142, "cusn": 142, "cusn2sr": 142, "cusn3ti5": 142, "cusn3zr5": 142, "cusn4s8": 142, "cusn6ti10": 142, "cusni": 142, "cusnti": 142, "cusnzr": 142, "cusr": 142, "cusr2h6": 142, "cusr2n2": 142, "cusra": 142, "cusrg": 142, "cusrp": 142, "cusrsb": 142, "cusrsi": 142, "cuss": 142, "custom": [1, 4, 25, 27, 33, 34, 37, 41, 147], "cuta2v3": 142, "cutas2": 142, "cutas3": 142, "cutcti2": 142, "cutczr2": 142, "cute": 142, "cute2": 142, "cuti": 142, "cuti11p8": 142, "cuti2": 142, "cuti2s4": 142, "cuti2sb3": 142, "cuti5s10": 142, "cuti5sb2": 142, "cutig": 142, "cutis2": 142, "cutisi": 142, "cutizr": 142, "cutlcl3": 142, "cutlse2": 142, "cutoff": [9, 31, 32, 37, 51, 52, 54, 55, 64, 67, 68, 77, 80, 81, 83, 92, 97, 98, 100, 101, 103, 121, 122, 129, 132, 147, 148, 157], "cutoff_aeaint": [80, 81, 132, 147, 157], "cutoff_aint": [80, 81, 132, 147, 157], "cutoff_index": 103, "cutoff_list": 103, "cutoff_orig": [80, 81], "cutoff_qint": [80, 81, 132, 147, 157], "cuv2s4": 142, "cuvzr": 142, "cuy2ge6": 142, "cuy2zn": 142, "cuy4te8": 142, "cuyas2": 142, "cuyg": 142, "cuyp2": 142, "cuys2": 142, "cuyse2": 142, "cuysi": 142, "cuyte2": 142, "cuzn": 142, "cuzn3": 142, "cuzna": 142, "cuzr": 142, "cuzr2": 142, "cuzr2ge4": 142, "cuzr2h2": 142, "cuzr2h5": 142, "cuzr2s4": 142, "cuzr2sb3": 142, "cuzr2si4": 142, "cuzr4p": 142, "cuzr4s8": 142, "cuzr5sb3": 142, "cuzrg": 142, "cuzrge2": 142, "cuzrsi": 142, "cuzrsi2": 142, "cxhyoznw": 153, "cycl": 153, "d": [17, 39, 44, 49, 53, 64, 77, 80, 81, 83, 92, 117, 132, 134, 147, 153, 156, 157], "d003": 134, "d018": 134, "d297b27b02822f9b6af80bdb64aee819": 129, "d2dd00055e": 156, "d32200f74ad5c3bfd42e8835f36d57ab": 129, "d3c829f1952db6e4f428273ee05f59b1": 129, "d4151542856b4b6405f276808f75358a": 129, "d687a151345305897b9245af4b0f9967": 129, "d74b383c16a2": 142, "d8": 147, "d_ca": [65, 78, 93, 133], "d_scale": [64, 77, 92, 147], "d_st": [66, 79, 94, 147], "da": [129, 130, 131, 139, 142, 146, 147], "da2268545e80ca1664026449dd2fdd24": 129, "dac": [131, 139], "dai": [147, 158], "damag": [32, 98, 137, 147], "daml": 17, "damp": [13, 141, 147], "dark": 156, "dash": [147, 149], "data": [1, 2, 4, 13, 14, 15, 17, 18, 19, 25, 26, 27, 28, 31, 32, 34, 36, 38, 51, 52, 54, 55, 66, 67, 68, 79, 80, 81, 97, 98, 100, 101, 103, 120, 121, 122, 125, 126, 128, 132, 133, 134, 135, 141, 150, 151, 153, 154, 155, 156, 158], "data_list": [1, 17, 25, 27, 121, 122], "data_list_collat": [25, 27, 133], "data_load": [126, 127, 133], "data_object": [18, 120, 133, 138, 147, 148], "data_parallel": [0, 6, 30, 125, 126], "data_preprocess": 145, "data_sourc": 1, "data_visu": [145, 148], "databas": [19, 25, 26, 121, 122, 132, 151, 156], "dataclass": 142, "datafram": [151, 154], "dataload": [1, 25, 27, 36, 38, 125, 126, 129, 130, 131, 147], "datapoint": [19, 25], "datasampl": 1, "dataset": [0, 1, 8, 30, 45, 46, 98, 121, 122, 125, 126, 127, 130, 131, 132, 134, 139, 140, 142, 144, 146, 149, 150, 157], "datatransform": 120, "date": [134, 146], "datefmt": 157, "datetim": 147, "david": [131, 139], "db": [15, 19, 25, 26, 121, 122, 128, 132, 134, 138, 147, 151, 157], "db9281595e6b": 142, "dd456b7e19ef592d9f0308d911b91d7c": 129, "ddp": [45, 46, 126, 127], "ddploss": 112, "de": [32, 147, 149, 151], "de83cf50247f5556fa4f9f64beff1eeb": 129, "dead": 147, "deal": [32, 98, 137, 138, 147], "debug": [15, 45, 46, 126, 127, 140, 145, 147, 153, 157, 158], "dec": [17, 133], "decad": [147, 158], "decai": [31, 36, 38, 110], "decay_epoch": 48, "decay_r": 48, "decis": 153, "decompos": 98, "decompose_tensor": 120, "decomposed_lay": 98, "decomposit": 98, "decor": [1, 8, 17, 133], "decorate_context": 133, "decorrel": [56, 69, 82], "decreas": [132, 147, 156], "deem": 17, "deep": [56, 69, 82], "deepcopi": 147, "deeper": [40, 147], "def": [1, 4, 31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 133, 138, 147, 154, 157], "default": [5, 8, 14, 19, 25, 27, 28, 32, 45, 46, 54, 55, 64, 67, 68, 77, 80, 81, 92, 98, 100, 119, 121, 122, 126, 127, 132, 133, 134, 140, 141, 142, 147, 153, 154, 156], "defin": [1, 4, 80, 81, 83, 94, 98, 129, 132, 138, 144, 148, 149, 151, 154, 157], "definit": 154, "degener": [17, 36, 38, 80, 81], "degeneraci": 17, "degeneracy_toler": 17, "degre": [14, 36, 38, 39, 40, 43, 44, 49, 51, 52, 53, 59, 64, 72, 77, 86, 92, 101, 103, 105, 148, 154], "dejavu": [147, 149], "del": [138, 147], "deleg": 98, "delet": [15, 25, 26, 132, 133, 134, 157], "deleted_id": 26, "demand": 147, "demo": [138, 142, 147, 149], "demonstr": [19, 25, 138, 147, 151, 154], "denorm": 113, "denot": [98, 147, 149], "dens": [54, 55, 57, 58, 61, 63, 67, 68, 70, 71, 74, 76, 80, 81, 84, 85, 88, 91, 94, 147], "dense_rbf_f": 70, "densiti": [132, 147, 153, 158], "depend": [17, 19, 98, 129, 132, 133, 135, 141, 142, 147, 153], "deprec": [19, 25, 132, 133, 138, 144, 147, 156, 157], "depth": [34, 147, 149], "deriv": 19, "describ": [129, 141, 142], "describe_ocp": [15, 158], "descript": [97, 98, 146, 147], "descriptor": 154, "design": [147, 150], "desir": [17, 151, 158], "desorb": [147, 151, 154], "desorpt": [129, 151], "detail": [1, 4, 129, 132, 133, 139, 140, 141, 142, 146, 147, 149, 153, 154, 156, 158], "detect": [17, 132, 133, 134, 144, 147, 151, 153, 154], "detector": [151, 154], "detecttrajanomali": [151, 154], "determin": [5, 17, 121, 122, 129, 132, 133, 140, 153], "determinist": 133, "develop": [150, 156, 158], "devi": [129, 139, 146, 147], "deviat": [141, 147, 153, 156], "devic": [1, 2, 11, 13, 17, 44, 53, 102, 113, 125, 126, 133, 147, 157], "device_typ": [132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "df": [151, 154], "df_all": 151, "df_flat": 151, "df_h": 151, "df_nnh": 151, "dff880f1a5baa7f67b52fd3ed745443d": 129, "dft": [132, 133, 134, 139, 140, 141, 147, 149, 153], "dft_po": 109, "diagnost": 155, "diatanc": 51, "dict": [5, 9, 17, 18, 19, 25, 26, 27, 28, 45, 46, 48, 54, 55, 64, 65, 67, 68, 77, 78, 80, 81, 83, 92, 93, 97, 98, 109, 110, 117, 119, 125, 126, 127], "dict1": 17, "dict2": 17, "dict_set_recurs": 17, "dictionari": [9, 15, 17, 18, 19, 25, 83, 114, 117, 129, 130, 132, 147, 156], "did": [153, 154], "differ": [8, 17, 19, 25, 34, 40, 80, 81, 83, 98, 129, 131, 132, 134, 135, 140, 141, 147, 149, 151, 153, 156, 158], "differenti": [4, 98, 100], "difficult": [19, 147], "digit": 156, "dihedr": [80, 81], "dim": [4, 70, 147], "dim_siz": [70, 94, 98, 147], "dimenet": [32, 134, 139, 144, 146, 147, 158], "dimenet_plus_plu": [0, 30, 95, 147], "dimenetplusplu": 32, "dimenetpluspluswrap": 32, "dimenns": 156, "dimens": [17, 98, 133, 156], "dimension": 156, "dipol": 9, "dir": [132, 141], "direct": [54, 55, 66, 67, 68, 79, 80, 81, 91, 94, 97, 98, 128, 129, 134, 144, 146, 147, 149, 153, 158, 159], "direct_forc": [54, 55, 57, 67, 68, 70, 80, 81, 84, 97, 98, 101, 103, 132, 133, 147, 157], "directli": [4, 19, 25, 27, 28, 57, 70, 84, 98, 128, 129, 130, 131, 139, 141, 146, 147, 153, 157], "directori": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 17, 18, 19, 23, 24, 25, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 126, 127, 128, 129, 132, 138, 139, 141, 147], "disabl": [17, 19, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "disable_eval_tqdm": [125, 126, 127, 157], "disable_tqdm": [121, 122, 125, 126, 127, 133, 138, 147, 148, 157], "disadvantag": [19, 25], "disassoci": [151, 154], "discard": [148, 157], "discov": 147, "discoveri": [131, 139, 143, 147, 156], "discrep": 153, "discuss": [34, 133, 140, 147, 149, 153, 158], "disk": [19, 25, 158], "displai": [34, 147, 149, 157], "dissoci": [129, 147, 151, 153], "dist": [2, 37, 92, 104, 147], "distanc": [32, 36, 38, 39, 49, 51, 52, 64, 66, 77, 79, 92, 94, 100, 101, 103, 121, 122, 133, 147, 148, 154], "distance_expans": [51, 103], "distance_funct": [36, 38, 51, 52, 101, 103], "distance_resolut": [51, 52, 101, 103], "distance_vec": 147, "distanceblock": 103, "distinct": [54, 55, 67, 68, 83, 141], "distribut": [32, 45, 46, 98, 126, 127, 129, 130, 137, 141, 147, 157], "distributed_backend": 157, "distributed_port": 157, "distributedsampl": 1, "distutil": [0, 6, 30], "divers": 147, "divid": 151, "divide_and_check_no_remaind": 4, "dk": [19, 25, 129, 147, 149], "dl": [129, 130, 141, 147], "dmax": 17, "dmin": 17, "do": [4, 9, 19, 32, 40, 98, 128, 132, 133, 134, 137, 141, 147, 151, 153, 154, 156, 157], "doc": [132, 134, 141, 147, 148, 157], "document": [0, 32, 98, 133, 137, 141, 142, 144, 145, 147, 149, 151], "doe": [17, 54, 55, 59, 67, 68, 72, 86, 95, 96, 133, 134, 141, 147, 148, 149], "doesn": [8, 153], "doi": [129, 132, 134, 139, 146, 151, 153, 156], "domain": [129, 131, 147, 151], "domingo": [129, 130, 139, 146, 147], "don": [36, 38, 132, 134, 140, 147, 151, 153, 154, 157], "done": [141, 153, 154], "dortmund": 32, "dot": 15, "double_scalar": 151, "down": [40, 54, 55, 60, 63, 67, 68, 73, 76, 80, 81, 89, 91, 147], "download": [95, 96, 131, 135, 138, 139, 140, 141, 144, 153, 154, 158], "download_data": [129, 138], "downsampl": [101, 103], "downstream": [121, 122], "dpp": 147, "dpp_is2re_sampl": 147, "dpvlwhra": 147, "dq": 91, "drawimag": 149, "drive": 147, "drop": [0, 30, 36, 38, 49, 95, 135], "drop_graph": 34, "drop_last": 1, "drop_path": 34, "drop_path_r": [36, 38, 49], "drop_prob": 34, "dropconnect": 34, "dropout": [34, 36, 38, 49, 56, 69, 82], "droppath": 34, "dscribe": 154, "dset": 140, "dt": [63, 76, 134, 139, 144, 146, 147, 158], "dtoc22": [134, 144, 158], "dtu": [19, 25, 129, 147, 149], "dtype": [44, 53, 133, 147, 148, 156], "dual": 141, "duck": 1, "due": [129, 147, 153], "dummi": 9, "dump": [138, 147], "duplic": [17, 80, 81, 154], "dure": [4, 36, 38, 43, 49, 51, 98, 101, 103, 105, 147, 149, 151], "dx": [132, 134, 147, 149, 153, 156], "dyn": [138, 147, 148, 149], "dynam": [56, 69, 82, 129, 147], "e": [4, 5, 7, 17, 19, 25, 56, 57, 64, 69, 70, 77, 82, 83, 84, 92, 98, 100, 123, 124, 128, 129, 132, 133, 135, 139, 140, 147, 151, 156, 157], "e3df": 142, "e3nn": 158, "e4fe9890764fcf59e01e3ceab089b978": 129, "e836de4ec146b1b611533f1ef682cac": 129, "e_": 147, "e_f": 132, "e_lit_h": 151, "e_lit_nnh": 151, "each": [4, 17, 19, 25, 32, 36, 38, 39, 43, 49, 51, 54, 55, 59, 66, 67, 68, 72, 79, 82, 83, 86, 87, 94, 98, 99, 100, 121, 122, 128, 129, 130, 131, 132, 133, 138, 139, 141, 142, 145, 147, 149, 151, 153, 156, 158], "earli": [156, 158], "earlier": [129, 147], "early_stop_batch": [11, 13], "easi": [19, 25, 156], "easier": [54, 55, 67, 68, 132, 154], "easili": [98, 147, 156], "ebea523c6f8d61248a37b4dd660b11e6": 130, "ec1e964d2ee6f468fa5773743e3994a4": 129, "ec9aa2c4c4bd4419359438ba7fbb881d": 129, "echo": 135, "econom": 147, "edata": 153, "edg": [17, 36, 38, 39, 43, 49, 51, 52, 54, 55, 57, 60, 61, 63, 66, 67, 68, 70, 73, 74, 76, 79, 80, 81, 83, 84, 87, 88, 91, 94, 97, 98, 100, 121, 122, 129, 133, 138, 148, 158], "edge_atom_interact": [80, 81, 91, 132, 147, 157], "edge_attr_sph": 107, "edge_channel": [36, 38, 51, 52], "edge_channels_list": [39, 43, 49], "edge_dist": [39, 49, 51, 54, 55, 67, 68, 101, 103], "edge_distance_vec": [35, 36, 38, 51, 52, 101, 103], "edge_dst": 37, "edge_emb": 147, "edge_emb_s": 147, "edge_featur": [61, 74, 88], "edge_idx": [94, 99], "edge_index": [17, 32, 36, 38, 39, 44, 49, 51, 52, 53, 54, 55, 67, 68, 83, 88, 91, 97, 98, 101, 103, 133, 138, 147, 148], "edge_index_main": 91, "edge_mask": [66, 79, 94], "edge_offset": [73, 76], "edge_rbf": 98, "edge_rot_mat": [0, 30, 38, 44, 53, 95, 105], "edge_src": 37, "edge_vector": [54, 55, 67, 68, 98], "edgeblock": [51, 103], "edgedegreeembed": 39, "edgeembed": [61, 74, 88, 147], "ediff": 134, "ediffg": 134, "editor": 142, "edu": [129, 147], "effect": [64, 77, 80, 81, 92, 147, 154], "effici": [0, 19, 25, 51, 52, 55, 62, 65, 68, 75, 78, 81, 90, 95, 98, 128, 134, 142, 147], "efficientinteractionbilinear": [60, 73, 87], "efficientinteractiondownproject": [60, 73], "efficientnet": 34, "effict": 128, "effort": 143, "eg": [56, 69, 82], "either": [4, 5, 19, 25, 36, 38, 59, 66, 72, 79, 86, 94, 99, 114, 121, 122, 141, 147, 156], "elaps": [132, 134, 151, 153], "elax": 147, "electrocatalysi": 147, "electrocatalyst": [130, 139, 147], "electrochem": 147, "electron": [21, 64, 77, 92], "electroneg": 21, "elem": [147, 157], "element": [1, 23, 24, 36, 38, 59, 66, 72, 79, 86, 87, 94, 99, 133, 140, 142, 149, 158], "elif": [133, 154], "ellipsi": [19, 25], "els": [59, 72, 86, 132, 133, 154], "ema": 110, "ema_decai": [132, 147, 157], "emb": [87, 147, 156], "emb_siz": [60, 61, 73, 74, 87, 88, 147], "emb_size_a2a_in": 91, "emb_size_a2a_out": 91, "emb_size_aint_in": [80, 81, 132, 147, 157], "emb_size_aint_out": [80, 81, 132, 147, 157], "emb_size_atom": [54, 55, 57, 63, 67, 68, 70, 76, 80, 81, 84, 91, 132, 147, 157], "emb_size_bil_trip": [54, 55, 63, 67, 68, 76, 147], "emb_size_bilinear": [63, 76], "emb_size_cbf": [54, 55, 63, 67, 68, 76, 80, 81, 91, 132, 147, 157], "emb_size_edg": [54, 55, 57, 63, 67, 68, 70, 76, 80, 81, 84, 91, 132, 147, 157], "emb_size_in": [87, 91], "emb_size_interm": [60, 73, 87], "emb_size_out": [87, 91], "emb_size_pair_in": 91, "emb_size_pair_out": 91, "emb_size_quad_in": [80, 81, 91, 132, 147, 157], "emb_size_quad_out": [80, 81, 91, 132, 147, 157], "emb_size_rbf": [54, 55, 57, 63, 67, 68, 70, 76, 80, 81, 84, 91, 132, 147, 157], "emb_size_sbf": [80, 81, 91, 132, 147, 157], "emb_size_trip": [54, 55, 63, 67, 68, 76, 147], "emb_size_trip_in": [80, 81, 91, 132, 147, 157], "emb_size_trip_out": [80, 81, 91, 132, 147, 157], "embarrassingli": 151, "embbed": 156, "embed": [0, 25, 30, 32, 36, 38, 39, 43, 44, 49, 51, 53, 54, 55, 57, 58, 60, 61, 63, 67, 68, 70, 71, 73, 74, 76, 80, 81, 83, 84, 85, 87, 88, 91, 98, 132, 133, 145, 155], "embedding_block": [0, 55, 62, 68, 75, 81, 90, 95], "embedding_monkeypatch": 156, "empir": 140, "empti": [17, 117, 156], "emt": [138, 147, 148, 149], "emul": 40, "en": [142, 156], "enabl": [17, 89, 132, 133, 134, 143, 144, 147, 151, 153, 154, 157, 158], "encod": [134, 138, 147], "encount": 151, "encourag": [142, 147], "encut": [132, 134], "end": [82, 107, 132, 141, 147, 153], "end_lmax": [44, 53, 105], "energet": 151, "energi": [9, 13, 17, 19, 21, 25, 27, 28, 36, 38, 45, 46, 51, 54, 55, 57, 67, 68, 70, 80, 81, 84, 89, 100, 121, 122, 126, 127, 128, 132, 134, 139, 142, 144, 146, 148, 151, 154, 156, 157, 158], "energies_for_dedupl": 154, "energy_coeffici": [132, 147, 157], "energy_fc1": [101, 103], "energy_fc2": [101, 103], "energy_fc3": [101, 103], "energy_forces_within_threshold": [109, 132, 147, 157], "energy_ma": 147, "energy_ms": 147, "energy_train": [0, 38, 47, 95, 147], "energy_trajectori": 142, "energy_within_threshold": [109, 147], "energyblock": 51, "energytrain": [141, 147], "enforc": [4, 17, 80, 81, 133], "enforce_consist": [116, 117], "enforce_max_neighbors_strictli": [17, 31, 36, 38, 80, 81, 134, 139, 144, 158], "enforce_max_strictli": 17, "engin": 146, "enhanc": 151, "enough": [128, 147, 149, 156], "ensur": [4, 36, 38, 64, 77, 80, 81, 92, 97, 98, 138, 141, 142, 147, 149], "ensure_div": 4, "ensure_fit": 118, "entir": [19, 25, 129, 141, 147], "entri": [25, 26, 83, 129, 130, 141, 153, 154, 156], "enumer": [41, 54, 55, 67, 68, 83, 87, 129, 133, 138, 142, 147, 148, 152, 156], "env": [4, 135, 147], "env_expon": 147, "envelop": [54, 55, 64, 67, 68, 77, 80, 81, 92, 97, 98, 132, 147, 157], "envelope_expon": 32, "environ": [9, 25, 27, 134, 135, 144, 147, 149, 154, 156], "eo": 132, "eos_data": 132, "ep": [40, 94], "epitaxi": 132, "epoch": [1, 5, 19, 25, 48, 119, 132, 147], "eq2_31m_ec4_allmd": 151, "equat": 132, "equidist": [36, 38], "equiform": [36, 38, 49], "equiformer_v2": [0, 30, 95], "equiformer_v2_31m_s2ef_all_md": 142, "equiformer_v2_oc20": [0, 30, 38, 95], "equiformerv2": [38, 133, 134, 139, 144, 146, 151, 153, 154, 158], "equiformerv2_oc20": 36, "equiformerv2energytrain": 45, "equiformerv2forcestrain": 46, "equival": [4, 154], "equivari": [51, 52, 97, 98], "equivariantdegreelayerscal": 40, "equivariantdropout": 34, "equivariantdropoutarraysphericalharmon": 34, "equivariantlayernormarrai": 40, "equivariantlayernormarraysphericalharmon": 40, "equivariantrmsnormarraysphericalharmon": 40, "equivariantrmsnormarraysphericalharmonicsv2": 40, "equivariantscalarsdropout": 34, "eqv2": 133, "erron": 154, "error": [17, 19, 132, 133, 134, 142, 153, 157], "escn": [0, 30, 95, 133, 134, 139, 144, 146, 153, 158], "especi": [147, 153, 154], "essenti": [147, 157], "establish": 151, "estim": 147, "et": [97, 98, 147, 151], "eta": 134, "etc": [7, 17, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 129, 146], "ethan": 156, "ethanol": 156, "ethanol_emb": 156, "eu": 134, "euclidean": 154, "ev": [132, 134, 138, 139, 147, 149, 151, 153, 156], "eval": 109, "eval_batch_s": [132, 147, 157], "eval_everi": [132, 147, 157], "eval_metr": [45, 46, 109, 125, 126, 127, 132, 147, 157], "eval_on_free_atom": [132, 147, 157], "eval_relax": 157, "evalai": 146, "evalu": [0, 30, 31, 32, 33, 34, 37, 40, 44, 45, 46, 58, 71, 85, 92, 98, 103, 104, 106, 107, 111, 112, 116, 117, 126, 127, 128, 129, 142, 147], "even": [36, 38, 132, 147, 153], "evenli": 141, "event": [17, 32, 98, 137, 147], "eventu": 132, "ever": 157, "everi": [1, 17, 19, 25, 48, 54, 55, 67, 68, 80, 81, 97, 98, 110, 128, 147], "everydai": 147, "everyth": 147, "everytim": 132, "evid": 132, "ex": [19, 25, 128], "exact": [56, 69, 82, 135], "exactli": [36, 38, 80, 81], "exampl": [1, 4, 9, 17, 19, 25, 31, 32, 33, 34, 37, 39, 40, 41, 43, 44, 45, 46, 49, 58, 66, 71, 79, 85, 92, 94, 98, 99, 103, 104, 106, 107, 112, 116, 117, 126, 127, 128, 129, 130, 132, 133, 140, 141, 142, 147, 153, 154, 155, 158], "exc_typ": [25, 26], "exc_valu": [25, 26], "exce": 151, "exceed": 153, "except": [15, 36, 38, 57, 63, 70, 76, 157], "excess": 147, "exchang": 153, "excit": 136, "exclud": [59, 72, 86], "exec": 138, "execut": [98, 132, 140], "exercis": 151, "exhaust": 151, "exist": [8, 9, 15, 17, 19, 59, 72, 80, 81, 86, 95, 96, 97, 98, 128, 129, 140, 141, 147], "exist_ok": [138, 147, 149, 151, 154], "exp": [4, 100, 147], "expand": 40, "expand_edg": [44, 53], "expand_idx": 91, "expans": 147, "expect": [1, 17, 25, 27, 56, 59, 69, 72, 82, 86, 98, 129, 138, 141, 147, 153], "expens": [132, 142, 147], "experi": [45, 46, 126, 127, 147, 153, 158], "experiment": [17, 153], "expir": 134, "explain": [25, 26, 141, 158], "explicit": [149, 156], "explicitli": [147, 151], "explor": [132, 142, 147, 149, 153, 158], "explos": 147, "expon": [64, 77, 92, 132, 147, 157], "exponenti": [64, 77, 92, 110], "exponential_moving_averag": [0, 30, 111], "exponentialenvelop": [64, 77, 92], "exponentialmovingaverag": 110, "express": [32, 98, 137, 147, 149], "expt": 153, "extend": [4, 142, 154], "extens": [54, 55, 67, 68, 80, 81, 132, 142, 147, 157, 158], "extra": [33, 34, 37, 129, 135], "extra_m0_featur": 43, "extra_m0_output_channel": 43, "extra_repr": [33, 34, 37], "extract": [43, 129, 138, 141, 147, 151, 154, 156], "extrapol": [129, 153], "extrem": [128, 149], "extxyz": [129, 131, 147, 149], "ey": 154, "f": [31, 32, 33, 34, 37, 40, 44, 57, 58, 70, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 132, 133, 134, 135, 138, 142, 147, 149, 151, 153, 154, 156, 157], "f57f7f5c1302637940f2cc858e789410": 129, "f7f2f58669a30abae8cb9ba1b7f2bcd2": 131, "f8": 147, "f8d0909c2623a393148435dede7d3a46": 129, "f8d7": 134, "f98866d08fe3451ae7ebc47bb51599aa": 129, "f_st": [80, 81], "f_st_vec": 147, "f_t": [80, 81], "fa24472e0c02c34d91f3ffe6b77bfb11": 129, "face": 147, "facebook": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 23, 24, 26, 27, 28, 31, 32, 44, 45, 46, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 137, 147], "facebookresearch": [8, 146], "facilit": 158, "factor": [14, 54, 55, 59, 67, 68, 72, 80, 81, 86, 114, 132, 134, 147, 153, 157], "fadel": 110, "fail": [131, 134, 140, 142], "fair": 147, "fairli": 147, "fall": [147, 153], "fallback": 17, "fals": [1, 2, 4, 8, 11, 13, 17, 19, 25, 26, 27, 32, 33, 34, 36, 38, 43, 45, 46, 49, 51, 52, 54, 55, 58, 59, 65, 66, 67, 68, 71, 72, 78, 79, 80, 81, 83, 85, 86, 91, 92, 93, 94, 97, 98, 99, 100, 101, 103, 107, 110, 118, 121, 122, 125, 126, 127, 128, 132, 133, 134, 138, 139, 141, 144, 147, 148, 149, 151, 153, 154, 156, 157, 158], "famili": [147, 149], "familiar": [142, 146, 147], "faq": 146, "far": [129, 147], "farm": 147, "farther": 156, "fashion": 151, "fast": [128, 138, 149, 151], "faster": [135, 147], "fastest": 138, "favor": [149, 151, 153], "fb": 147, "fbaipublicfil": [129, 130, 141, 147], "fcb71363018fb1e7127db2500e39e11a": 129, "fcc": [133, 144, 153, 156], "fcc100": [138, 147, 148, 149], "fcc111": [133, 144, 153], "fdc4cd19977496909d61be4aee61c4f1": 129, "fe": 142, "fe10mo2i": 142, "fe10scsi2": 142, "fe10v2i": 142, "fe10ysi2": 142, "fe11si5": 142, "fe12as2ge3": 142, "fe12as5": 142, "fe12i": 142, "fe12zr2p7": 142, "fe13ge3": 142, "fe15ga2y2": 142, "fe16hf6si7": 142, "fe17y2": 142, "fe19gan5": 142, "fe2a": 142, "fe2asp": 142, "fe2ass3": 142, "fe2g": 142, "fe2ga6sc3": 142, "fe2gamn": 142, "fe2ganb": 142, "fe2gata": 142, "fe2gati": 142, "fe2gav": 142, "fe2hf": 142, "fe2hf3si3": 142, "fe2hfsi2": 142, "fe2hfsn": 142, "fe2hfzr": 142, "fe2i": 142, "fe2kas2": 142, "fe2kp2": 142, "fe2ks2": 142, "fe2ks3": 142, "fe2kse2": 142, "fe2kse3": 142, "fe2mn3n4": 142, "fe2mn4p3": 142, "fe2mn9n8": 142, "fe2mng": 142, "fe2mnsi": 142, "fe2mo4c": 142, "fe2n": 142, "fe2na3s4": 142, "fe2na3se4": 142, "fe2nb": 142, "fe2nip": 142, "fe2nise4": 142, "fe2nisi": 142, "fe2p": 142, "fe2psi": 142, "fe2rbas2": 142, "fe2rbs3": 142, "fe2rbse3": 142, "fe2rbte3": 142, "fe2re3": 142, "fe2ru4y3": 142, "fe2sbte3": 142, "fe2sc": 142, "fe2sc3si3": 142, "fe2scsi2": 142, "fe2scta": 142, "fe2set": 142, "fe2si": 142, "fe2snti": 142, "fe2sras2": 142, "fe2srp2": 142, "fe2ta": 142, "fe2ta11se8": 142, "fe2ta9s6": 142, "fe2tag": 142, "fe2tati": 142, "fe2ti": 142, "fe2ti4p3": 142, "fe2tig": 142, "fe2tisb": 142, "fe2tise4": 142, "fe2tisi": 142, "fe2tl3s4": 142, "fe2tls3": 142, "fe2tlse2": 142, "fe2v4zr3": 142, "fe2vs4": 142, "fe2vse4": 142, "fe2vsi": 142, "fe2w": 142, "fe2yge2": 142, "fe2ysi2": 142, "fe2zr": 142, "fe2zr3sb3": 142, "fe2zr3si3": 142, "fe2zrsi2": 142, "fe3g": 142, "fe3ga": 142, "fe3ga4v9": 142, "fe3gaa": 142, "fe3gan": 142, "fe3gazr2": 142, "fe3ge2": 142, "fe3hf2si": 142, "fe3i": 142, "fe3irsi4": 142, "fe3mn3ge2": 142, "fe3mn3si2": 142, "fe3mn8n8": 142, "fe3mnp2": 142, "fe3mnsi8": 142, "fe3mnzr2": 142, "fe3mo3n": 142, "fe3mo5n8": 142, "fe3n": 142, "fe3nb": 142, "fe3nb4si5": 142, "fe3ni2": 142, "fe3ni3p2": 142, "fe3ni3si2": 142, "fe3nias4": 142, "fe3nias8": 142, "fe3nisb8": 142, "fe3nisi": 142, "fe3pdn": 142, "fe3pt": 142, "fe3ptn": 142, "fe3r": 142, "fe3rh": 142, "fe3rhn": 142, "fe3rusc2": 142, "fe3s2se4": 142, "fe3sc2si": 142, "fe3sc2si5": 142, "fe3se4": 142, "fe3sete2": 142, "fe3si": 142, "fe3sr3n5": 142, "fe3sr8n8": 142, "fe3tl2se4": 142, "fe3tlte3": 142, "fe3v": 142, "fe3vsi4": 142, "fe3w3n": 142, "fe3w4n8": 142, "fe3y2si5": 142, "fe3zn10": 142, "fe3zr2g": 142, "fe3zr2si": 142, "fe4hf4ge7": 142, "fe4hfta": 142, "fe4hfti": 142, "fe4hfzr": 142, "fe4ksb12": 142, "fe4mn8i": 142, "fe4mnsi3": 142, "fe4mo2n": 142, "fe4n": 142, "fe4nasb12": 142, "fe4nb4si7": 142, "fe4nbti": 142, "fe4nbzr": 142, "fe4s5": 142, "fe4sci": 142, "fe4scp2": 142, "fe4scsi2": 142, "fe4sczr": 142, "fe4se3t": 142, "fe4sete3": 142, "fe4srsb12": 142, "fe4ste3": 142, "fe4ta4si7": 142, "fe4tati": 142, "fe4taw": 142, "fe4tazr": 142, "fe4ti5sb4": 142, "fe4tizr": 142, "fe4v": 142, "fe4w2n": 142, "fe4yge2": 142, "fe4ysi2": 142, "fe4yzr": 142, "fe4zn9": 142, "fe4zr4si7": 142, "fe4zrp2": 142, "fe4zrsi2": 142, "fe5i": 142, "fe5mn5si6": 142, "fe5si3": 142, "fe5ta4te12": 142, "fe5ti3p4": 142, "fe5v5si6": 142, "fe6ga5": 142, "fe6ga6hf": 142, "fe6ga6i": 142, "fe6ga6sc": 142, "fe6ga6zr": 142, "fe6ge2n": 142, "fe6ge5": 142, "fe6hfge6": 142, "fe6nbge6": 142, "fe6scge6": 142, "fe6scsn6": 142, "fe6sn6zr": 142, "fe6ta7": 142, "fe6tige6": 142, "fe6zrge6": 142, "fe7ge4": 142, "fe7mo6": 142, "fe7nb6": 142, "fe7ni5p4": 142, "fe7ta6": 142, "fe7w6": 142, "fe8hf3ta": 142, "fe8k3se8": 142, "fe8n": 142, "fe8nb3si": 142, "fe8ta3si": 142, "fe8tazr3": 142, "fe8zr3si": 142, "fe9mn3p4": 142, "fe9se8": 142, "fea": 142, "feas2": 142, "feasibl": 128, "feass": 142, "feassb": 142, "feast": 142, "featur": [36, 38, 39, 40, 43, 49, 51, 52, 56, 69, 82, 98, 141, 142, 147, 156, 158], "fecl2": 142, "fecl3": 142, "fecl4": 142, "fecl7s": 142, "fecl7t": 142, "feed": 147, "feedforward": [36, 38, 49], "feedforwardnetwork": 49, "feedstock": 147, "feel": [140, 143, 147, 149], "fega12y4": 142, "fega2hf6": 142, "fega2ni9": 142, "fega2s4": 142, "fega2se4": 142, "fega2zr6": 142, "fega3": 142, "fega5sc": 142, "fegag": 142, "fegani2": 142, "fegarh2": 142, "fegaru2": 142, "fege": 142, "fege2": 142, "fehf2ir": 142, "fehf2o": 142, "fehf2rh": 142, "fehf2tc": 142, "fehf4p": 142, "fehf4s8": 142, "fehf6sb2": 142, "fehf8te6": 142, "fehf9mo4": 142, "fehfa": 142, "fehfcl6": 142, "fehfg": 142, "fehfp": 142, "fehfsb": 142, "fehfsi": 142, "fei": 32, "fein2s4": 142, "feinrh2": 142, "feir3": 142, "feirti2": 142, "fek3se3": 142, "fekcl3": 142, "fekcl4": 142, "fekn": 142, "feks2": 142, "fekse2": 142, "femn10n8": 142, "femn2ge5": 142, "femn2n2": 142, "femn3as4": 142, "femn3n3": 142, "femn3p4": 142, "femna": 142, "femng": 142, "femnp": 142, "femnp2": 142, "femnpd6": 142, "femnsi2": 142, "femnsi4": 142, "femnti2": 142, "femnv2": 142, "femnzr": 142, "femo3as4": 142, "femo4zr9": 142, "femo6se8": 142, "femoas2": 142, "femop": 142, "femosi": 142, "femota2": 142, "femozr": 142, "fena2cl4": 142, "fena3s3": 142, "fena3se3": 142, "fena6s4": 142, "fena6se4": 142, "fenaa": 142, "fenacl4": 142, "fenan": 142, "fenb2s4": 142, "fenb3s6": 142, "fenb3se10": 142, "fenb4s8": 142, "fenb4si": 142, "fenbp": 142, "fenbsb": 142, "fenbse5": 142, "fenbsi": 142, "fenbte2": 142, "feni2s4": 142, "feni2se4": 142, "feni3": 142, "feni4i": 142, "fenia": 142, "fenias4": 142, "fenig": 142, "fenii": 142, "fenip": 142, "fenip6": 142, "fenipt2": 142, "fenipt6": 142, "fenis4": 142, "fenisb4": 142, "fenisb6": 142, "fenise4": 142, "fenisi": 142, "fenite4": 142, "feniv6": 142, "fenizr4": 142, "feosta2": 142, "feosti2": 142, "feoszr2": 142, "fep": 142, "fep2": 142, "fep4": 142, "fep4si4": 142, "fepd": 142, "fepd2se2": 142, "fepd3": 142, "fepdsb6": 142, "feps": 142, "fept": 142, "ferbcl3": 142, "ferbcl4": 142, "ferbn": 142, "ferbs2": 142, "ferbse2": 142, "ferh": 142, "ferh2s4": 142, "ferh2sb": 142, "ferh2se4": 142, "ferh2sn": 142, "ferh2zn": 142, "ferh3": 142, "fermi": 134, "fermi_level": 132, "fertil": 147, "feru": 142, "feru2g": 142, "feru2si": 142, "feru2ta": 142, "feru2v": 142, "feruta2": 142, "feruti2": 142, "fes2": 142, "fesb2": 142, "fesb3": 142, "fesbs": 142, "fesbt": 142, "fesc2si2": 142, "fesc6sb2": 142, "fesc6te2": 142, "fescg": 142, "fescsi": 142, "fese": 142, "fese2": 142, "fesi": 142, "fesi2": 142, "fesn": 142, "fesn3ti5": 142, "fesr2h6": 142, "fesr2n2": 142, "fesr3n3": 142, "fessb": 142, "feta2s4": 142, "feta3s6": 142, "feta4p": 142, "fetaa": 142, "fetag": 142, "fetap": 142, "fetasi": 142, "fetate3": 142, "fetc2g": 142, "fetc2si": 142, "fetch": [25, 27], "fetcti2": 142, "fetczr2": 142, "fete": 142, "fete2": 142, "feti": 142, "feti2s4": 142, "feti2se4": 142, "feti3s6": 142, "feti4s8": 142, "feti4se8": 142, "feti5sb2": 142, "fetia": 142, "fetih": 142, "fetih2": 142, "fetip": 142, "fetisb": 142, "fetisi": 142, "fetisi2": 142, "fetit": 142, "fetls2": 142, "fev": 142, "fev2g": 142, "fev2s4": 142, "fev2se4": 142, "fev2si": 142, "fev2te4": 142, "fev3": 142, "fev3zr2": 142, "feva": 142, "fevas2": 142, "fevp": 142, "fevsb": 142, "fevzr": 142, "few": [129, 132, 136, 140, 147, 153, 154, 158], "fewp2": 142, "fewsi": 142, "fey2si4": 142, "fey6sb2": 142, "feyge2": 142, "fezn13": 142, "fezn4s5": 142, "fezn4se5": 142, "fezr2": 142, "fezr2h5": 142, "fezr2s4": 142, "fezr3": 142, "fezr4se8": 142, "fezr5sb3": 142, "fezr6cl15": 142, "fezr6sb2": 142, "fezr6te2": 142, "fezra": 142, "fezrp": 142, "fezrsb": 142, "fezrsi": 142, "fezrt": 142, "ff6981fdbcd2e65d351505c15d218d76": 129, "ffmpeg": 149, "ffn": [36, 38, 40, 49], "ffn_activ": [36, 38, 49], "ffn_hidden_channel": [36, 38, 49], "fid": [138, 147, 148], "field": [64, 77, 92], "fig": [144, 147, 149, 151, 153], "figshar": 134, "figsiz": [147, 149], "figur": [147, 149, 152, 153, 154], "file": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 17, 18, 19, 23, 24, 25, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 114, 121, 122, 124, 125, 127, 129, 130, 131, 133, 134, 135, 137, 139, 140, 142, 146, 147, 151, 157, 158], "file_out": 151, "filehandl": 157, "filelink": 157, "filenam": [15, 19, 25, 26, 128], "filepath": [19, 25, 128], "filetyp": [19, 25], "filter": [17, 19, 25, 94, 100, 128, 138, 147, 151], "filter_kwarg": [48, 119], "final": [11, 19, 25, 54, 55, 57, 63, 67, 68, 70, 76, 80, 81, 84, 129, 135, 140, 141, 142, 144, 147, 149, 151, 154, 158], "final_atom": 154, "final_structur": [147, 149], "find": [19, 25, 54, 55, 67, 68, 132, 138, 140, 141, 147, 151, 153, 154, 156, 158], "find_adsorbate_binding_sit": 142, "fine": [1, 36, 38, 134, 145, 153, 155, 156, 158], "finish": [142, 145], "finit": 142, "first": [4, 9, 15, 17, 21, 54, 55, 59, 63, 67, 68, 72, 76, 80, 81, 86, 87, 91, 92, 98, 129, 132, 134, 135, 142, 144, 146, 148, 151, 153, 154, 156, 157, 158], "fit": [0, 17, 30, 32, 98, 111, 116, 117, 128, 132, 133, 137, 144, 147], "fit_": [116, 117], "fit_context_": [116, 117], "fit_transform": 156, "fix": [54, 55, 67, 68, 121, 122, 129, 138, 140, 148], "fixatom": [138, 142, 147, 148, 149, 153], "flag": [0, 6, 30, 36, 38, 121, 122, 140, 154, 157], "fletcher": 147, "fli": 147, "flip": 154, "flipgrid": 105, "float": [11, 13, 14, 17, 19, 25, 29, 32, 33, 34, 36, 37, 38, 39, 40, 48, 49, 51, 52, 54, 55, 59, 64, 67, 68, 72, 77, 80, 81, 86, 89, 92, 94, 97, 98, 100, 101, 103, 104, 105, 106, 107, 109, 110, 116, 117, 121, 122, 147, 148, 156], "float16": 134, "float32": [133, 134, 141], "florian": 147, "flow": 98, "fluorit": 132, "fly": [36, 38, 51, 52, 100, 101, 103, 129, 147], "fmax": [11, 13, 132, 134, 138, 144, 147, 148, 149, 151, 153, 154, 157], "fn": [132, 147, 157], "focu": [132, 158], "folder": [17, 19, 25, 27, 28, 128, 129, 140, 147], "follow": [4, 24, 32, 48, 98, 129, 130, 131, 132, 134, 135, 137, 138, 139, 140, 141, 142, 147, 148, 151, 154, 159], "font": [147, 149], "fontsiz": [147, 149], "forc": [9, 11, 13, 17, 19, 25, 27, 28, 36, 38, 45, 46, 51, 52, 54, 55, 57, 64, 67, 68, 70, 77, 80, 81, 84, 89, 92, 100, 101, 103, 121, 122, 126, 127, 128, 132, 134, 142, 146, 148, 153, 156, 157, 158], "force_balanc": 1, "force_coeffici": [132, 147, 157], "force_consist": [13, 133], "force_fc1": [101, 103], "force_fc2": [101, 103], "force_fc3": [101, 103], "force_scal": [0, 81, 90, 95], "forceblock": 51, "forcenet": 146, "forceonli": [134, 144, 158], "forces_cosine_similar": 147, "forces_coupl": [80, 81, 132, 147, 157], "forces_ma": [132, 147, 157], "forces_magnitude_error": 147, "forces_train": [0, 38, 47, 95], "forcescal": 89, "forcestrain": [141, 147], "forcesx_ma": [109, 132, 147, 157], "forcesx_ms": 109, "forcesy_ma": [109, 132, 147, 157], "forcesy_ms": 109, "forcesz_ma": [109, 132, 147, 157], "forcesz_ms": 109, "forg": 135, "fork": 146, "form": [34, 98, 100, 121, 122, 129, 132, 147], "format": [17, 128, 129, 130, 131, 132, 133, 134, 141, 144, 147, 149, 151, 153, 154], "formatopt": 129, "formatt": 157, "former": [94, 110], "formerli": [138, 147], "formula": [4, 59, 72, 86, 132, 134, 142, 157], "forward": [4, 31, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 49, 51, 52, 54, 55, 57, 58, 60, 61, 63, 64, 65, 67, 68, 70, 71, 73, 74, 76, 77, 78, 80, 81, 84, 85, 87, 88, 91, 92, 93, 97, 98, 100, 101, 103, 104, 106, 107, 112, 116, 117, 133, 140, 147], "forward_cal": 133, "found": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 126, 127, 129, 133, 134, 141, 142, 146, 147, 149, 150, 151, 153, 154, 156], "four": 129, "fourier": [65, 78, 93], "fouriersmear": 107, "fourth": 132, "fp": 149, "fr": [132, 157], "frac": [147, 149], "fraction": 15, "fragment": 133, "frame": [11, 19, 25, 129, 138, 147, 148, 149], "framework": [148, 154], "free": [32, 98, 121, 122, 133, 137, 140, 143, 147, 149, 158], "free_energi": 133, "freedom": [64, 77, 92, 154], "freez": 147, "frequenc": [45, 46, 54, 55, 59, 64, 65, 67, 68, 72, 77, 78, 80, 81, 86, 92, 93, 126, 127], "fresh": 144, "from": [1, 8, 14, 15, 17, 19, 24, 25, 26, 27, 28, 32, 36, 38, 40, 48, 49, 51, 56, 66, 69, 79, 80, 81, 82, 83, 86, 94, 98, 99, 100, 110, 114, 117, 119, 128, 129, 130, 131, 132, 134, 135, 137, 138, 139, 142, 144, 146, 147, 148, 149, 151, 153, 154, 156, 157, 158], "from_bulk_get_specific_mil": [151, 154], "from_grid": [44, 53], "from_json": 142, "fromgrid": 105, "ft": 132, "fuel": 147, "full": [11, 19, 25, 141, 147, 149], "full_data": 134, "full_db": 134, "fulli": 147, "func": [1, 51, 133], "funcanim": 149, "function": [26, 28, 31, 32, 33, 36, 38, 42, 43, 44, 45, 46, 49, 51, 52, 53, 54, 55, 57, 58, 61, 63, 64, 65, 67, 68, 71, 74, 76, 77, 78, 80, 81, 84, 85, 87, 88, 91, 92, 93, 98, 101, 103, 104, 106, 107, 112, 116, 126, 127, 132, 133, 140, 142, 147, 153, 154, 158], "functool": 133, "funtion": 32, "furnish": [32, 98, 137, 147], "further": [101, 103, 132, 133], "furthermor": 98, "furthest": [147, 148], "futur": [138, 147, 156, 157, 158], "futurewarn": 156, "fysik": [19, 25, 129, 147, 149], "g": [4, 5, 7, 19, 25, 98, 128, 132, 133, 135, 147, 151], "ga": [129, 139, 140, 142, 147, 149], "ga11hf4zn": 142, "ga12hf3sc": 142, "ga12pdy4": 142, "ga12pty4": 142, "ga13nb5": 142, "ga16rh3": 142, "ga16rh7ti6": 142, "ga17pt5y6": 142, "ga27mn8zn14": 142, "ga2asp": 142, "ga2hf": 142, "ga2hfmn": 142, "ga2hg5se8": 142, "ga2hgs4": 142, "ga2hgse4": 142, "ga2hgte4": 142, "ga2i": 142, "ga2in2k": 142, "ga2in3sr3": 142, "ga2inn3": 142, "ga2ir": 142, "ga2irru": 142, "ga2mn2s5": 142, "ga2mnni9": 142, "ga2mns4": 142, "ga2mnse4": 142, "ga2mnte4": 142, "ga2mo3si4": 142, "ga2na2as3": 142, "ga2na4s5": 142, "ga2nb3": 142, "ga2nb3cl9": 142, "ga2ni3i": 142, "ga2ni5te4": 142, "ga2ni6y3": 142, "ga2ni7ge2": 142, "ga2nii": 142, "ga2niru": 142, "ga2nis4": 142, "ga2nisc": 142, "ga2o": 142, "ga2pbse4": 142, "ga2pd5": 142, "ga2pdi": 142, "ga2pt": 142, "ga2ptru": 142, "ga2rh2sr": 142, "ga2rh5a": 142, "ga2rhru": 142, "ga2ru": 142, "ga2rusc": 142, "ga2s2t": 142, "ga2s3": 142, "ga2sc": 142, "ga2sc3": 142, "ga2se2t": 142, "ga2se3": 142, "ga2sn2s5": 142, "ga2snv9": 142, "ga2sr": 142, "ga2sr3as4": 142, "ga2sr3n4": 142, "ga2sr3p4": 142, "ga2sras2": 142, "ga2srh2": 142, "ga2srs4": 142, "ga2srse4": 142, "ga2srte4": 142, "ga2ss": 142, "ga2ta3": 142, "ga2te3": 142, "ga2te5": 142, "ga2ti": 142, "ga2tizn": 142, "ga2v3": 142, "ga2v3n": 142, "ga2zns4": 142, "ga2znse4": 142, "ga2znte4": 142, "ga2zr": 142, "ga2zr3": 142, "ga3aste3": 142, "ga3cl7": 142, "ga3hf": 142, "ga3hf2": 142, "ga3hf3nb2": 142, "ga3hf3ti2": 142, "ga3hf5": 142, "ga3hfni12": 142, "ga3i": 142, "ga3inn4": 142, "ga3ir": 142, "ga3k": 142, "ga3k2": 142, "ga3k3as4": 142, "ga3mo2zn9": 142, "ga3na2sb3": 142, "ga3nate5": 142, "ga3nb": 142, "ga3nb12g": 142, "ga3nb5": 142, "ga3nbni12": 142, "ga3nbzn3": 142, "ga3nbzr4": 142, "ga3ni12sn": 142, "ga3ni2": 142, "ga3ni2ti4": 142, "ga3ni4si": 142, "ga3ni5ge2": 142, "ga3ni5sn2": 142, "ga3niy2": 142, "ga3nizr2": 142, "ga3o": 142, "ga3pt2": 142, "ga3pt8g": 142, "ga3r": 142, "ga3rb": 142, "ga3rbs5": 142, "ga3rh": 142, "ga3ru": 142, "ga3rui": 142, "ga3sc": 142, "ga3sc5": 142, "ga3sr3n5": 142, "ga3ta": 142, "ga3ta5": 142, "ga3tc": 142, "ga3ti": 142, "ga3ti10sb3": 142, "ga3ti2": 142, "ga3ti2zr3": 142, "ga3ti5": 142, "ga3y4zn": 142, "ga3y5": 142, "ga3zn3zr2": 142, "ga3zr": 142, "ga3zr10sb3": 142, "ga3zr2": 142, "ga3zr5": 142, "ga40mo8g": 142, "ga40mo8sc": 142, "ga40mo8sn": 142, "ga41v8": 142, "ga4hfv2": 142, "ga4ir4sr3": 142, "ga4mn": 142, "ga4mn3ni9": 142, "ga4na": 142, "ga4nb5": 142, "ga4ni2sc3": 142, "ga4pd7zn3": 142, "ga4scti2": 142, "ga4scv2": 142, "ga4sr": 142, "ga4ti2i": 142, "ga4ti2zr": 142, "ga4ti5": 142, "ga4v2zr": 142, "ga4zr5": 142, "ga5hfni": 142, "ga5ir3": 142, "ga5mn2": 142, "ga5mnv": 142, "ga5ni": 142, "ga5nisc": 142, "ga5niti": 142, "ga5p3s3": 142, "ga5pd": 142, "ga5pd13": 142, "ga5pt": 142, "ga5sr6n": 142, "ga5ta6": 142, "ga5v2": 142, "ga5v6": 142, "ga5zr3": 142, "ga6hf3mn2": 142, "ga6hf3v2": 142, "ga6hf5zr5": 142, "ga6i": 142, "ga6mn2sc3": 142, "ga6mn2zr3": 142, "ga6na10sn3": 142, "ga6sc5zr5": 142, "ga6snte10": 142, "ga7ni3": 142, "ga7pd3": 142, "ga7pt3": 142, "ga7rb": 142, "ga7te10": 142, "ga7v6": 142, "ga8nisc2": 142, "ga8rh3y3": 142, "ga9ir2": 142, "ga9ir3y2": 142, "ga9ni13": 142, "ga9pt2y3": 142, "ga9rh2": 142, "ga9ru3y2": 142, "ga9sc11": 142, "gaa": 142, "gacl2": 142, "gacl2h": 142, "gacl3": 142, "gacl6sb": 142, "gacls": 142, "gaclt": 142, "gaget": 142, "gahf2": 142, "gahf2sb3": 142, "gahf3": 142, "gahf5sn3": 142, "gahfir2": 142, "gahfni": 142, "gahfni2": 142, "gahfpd": 142, "gahfpt": 142, "gahfrh": 142, "gahfrh2": 142, "gahfru2": 142, "gahfzn2": 142, "gahgcl4": 142, "gahgsr2": 142, "gai": 142, "gain": 147, "gain2as3": 142, "gain3n4": 142, "gain3te4": 142, "gainas2": 142, "gainn2": 142, "gainp2": 142, "gains3": 142, "gainsb2": 142, "gainse2": 142, "gainse3": 142, "gainte2": 142, "gair2mn": 142, "gair2sc": 142, "gair2ti": 142, "gair2zn": 142, "gairi": 142, "gairsc2": 142, "gak2as2": 142, "gak3s3": 142, "gak3se3": 142, "gakcl4": 142, "gakh4": 142, "gaks2": 142, "gaksb4": 142, "gamma": [50, 53, 64, 77, 92, 100, 105, 132], "gamma_": 98, "gamn": 142, "gamn2nb": 142, "gamn2ni": 142, "gamn2rh": 142, "gamn2ta": 142, "gamn2ti": 142, "gamn2v": 142, "gamn2w": 142, "gamn3": 142, "gamn3c": 142, "gamn3n": 142, "gamn6g": 142, "gamng": 142, "gamnni2": 142, "gamnpd2": 142, "gamnpt": 142, "gamnpt2": 142, "gamnrh2": 142, "gamnru2": 142, "gamnzr": 142, "gamo2c": 142, "gamo3": 142, "gamo4s8": 142, "gamo4se8": 142, "gan": 142, "gana3s3": 142, "gana3se3": 142, "gana5ge2": 142, "gana6as3": 142, "ganacl4": 142, "ganah4": 142, "ganate2": 142, "ganb2c": 142, "ganb2ni3": 142, "ganb3": 142, "ganb4se8": 142, "ganb5sn2": 142, "ganb6g": 142, "ganb6sb": 142, "ganb6si": 142, "ganb6sn": 142, "ganbni2": 142, "ganbos2": 142, "ganbru2": 142, "ganbtc2": 142, "gani": 142, "gani2ge3": 142, "gani2pt": 142, "gani2sc": 142, "gani2ta": 142, "gani2ti": 142, "gani2v": 142, "gani2y2": 142, "gani2zn": 142, "gani2zr": 142, "gani3": 142, "gani3ta2": 142, "gani4ge3": 142, "gani6g": 142, "gani6si": 142, "gani6ta": 142, "gani6ti": 142, "gani6v": 142, "ganii": 142, "ganisc2": 142, "ganiti": 142, "gaos2ta": 142, "gaos2v": 142, "gaossc2": 142, "gap": [142, 147], "gapb3zr5": 142, "gapd": 142, "gapd2": 142, "gapd2i": 142, "gapd2sc": 142, "gapd2ti": 142, "gapd2zr": 142, "gapd3": 142, "gapd5a": 142, "gapd5p": 142, "gapdi": 142, "gapdsc": 142, "gapdsc2": 142, "gapdti": 142, "gaps4": 142, "gapt": 142, "gapt2": 142, "gapt2sc": 142, "gapt3": 142, "gapt5p": 142, "gapt6g": 142, "gapti": 142, "gaptsc": 142, "gaptsc2": 142, "gaptti": 142, "gaptzr": 142, "garb2sb2": 142, "garbcl4": 142, "garbh2": 142, "garbh4": 142, "garh2i": 142, "garh2sc": 142, "garh2ti": 142, "garh2zn": 142, "garh2zr": 142, "garh3": 142, "garh4a": 142, "garh4ge3": 142, "garhi": 142, "garhzr": 142, "garu": 142, "garu2g": 142, "garu2sc": 142, "garu2si": 142, "garu2ta": 142, "garu2ti": 142, "garu2v": 142, "garu2zr": 142, "garusc2": 142, "gas_reference_energi": [147, 149], "gasb": 142, "gasc": 142, "gasc2tc": 142, "gasc2zn": 142, "gasc3": 142, "gase": 142, "gasn2v2": 142, "gasn3sr4": 142, "gasn3zr5": 142, "gasnsr": 142, "gasnv6": 142, "gasr2si": 142, "gasr2zn": 142, "gasr3n3": 142, "gasr4si3": 142, "gasrg": 142, "gasrh5": 142, "gasrsi": 142, "gastegg": [64, 77, 92], "gata4se8": 142, "gatc": 142, "gatc2ti": 142, "gatc2w": 142, "gatcti2": 142, "gate": [36, 38, 49, 98, 142], "gateactiv": 33, "gatedequivariantblock": 98, "gather_from_model_parallel_region": 4, "gatherfrommodelparallelregion": 4, "gati": 142, "gati2": 142, "gati2c": 142, "gati2n": 142, "gati3": 142, "gati4s8": 142, "gating_scalar": 33, "gatlcl4": 142, "gatls2": 142, "gatlse2": 142, "gatlte2": 142, "gaussian": [36, 37, 38, 51, 52, 64, 77, 92, 100, 101, 103, 132, 147, 157], "gaussian_out": 133, "gaussian_rbf": [0, 30, 38, 95], "gaussianbasi": [92, 133], "gaussianradialbasislay": 37, "gaussiansmear": [104, 107, 147], "gav": 142, "gav2c": 142, "gav3": 142, "gav3n": 142, "gav4s8": 142, "gav4se8": 142, "gav6g": 142, "gav6sb": 142, "gav6si": 142, "gav9ge2": 142, "gayzn": 142, "gazr": 142, "gazr2": 142, "gazr3": 142, "gcc": 158, "gcn": 98, "ge": 142, "ge2n2s": 142, "ge2sb2te5": 142, "ge2set": 142, "ge2ss": 142, "ge3n4": 142, "ge3sete2": 142, "ge5sete4": 142, "geh4": 142, "gemnet": [0, 19, 30, 68, 76, 91, 95, 132, 133, 134, 139, 144, 146, 153, 156, 157, 158], "gemnet_gp": [0, 30, 95], "gemnet_oc": [0, 30, 95, 132, 133, 147, 157], "gemnet_oc_base_s2ef_all_md": 142, "gemnet_t": 147, "gemnet_t_direct_h512_al": 147, "gemnetoc": [80, 81, 133, 147, 156], "gemnett": [54, 55, 147], "gener": [0, 1, 7, 8, 15, 56, 69, 80, 81, 82, 128, 129, 132, 133, 141, 142, 146, 150, 151, 158], "generaliz": 142, "generate_graph": 31, "generate_graph_dict": [80, 81], "generate_graph_valu": [97, 98], "generate_interaction_graph": [54, 55, 67, 68], "generate_yml_config": [15, 132, 134, 157], "genproto": 1, "geomet": [121, 122], "geometr": [32, 121, 122, 146, 147, 148, 158], "geometri": [132, 147, 151, 153, 158], "ges2": 142, "gesb4te4": 142, "gesbte3": 142, "gese": 142, "gese2": 142, "get": [8, 17, 19, 25, 26, 44, 53, 54, 55, 67, 68, 83, 86, 98, 129, 132, 134, 140, 146, 147, 150, 152, 153, 154, 155, 156, 157, 158], "get_adsorb": 142, "get_angl": 94, "get_atom": [19, 25, 134], "get_atomic_numb": [147, 149], "get_atoms_object": 19, "get_bas": [80, 81, 133], "get_bulk": 142, "get_chemical_symbol": [147, 149, 154], "get_class": 8, "get_commit_hash": 17, "get_dataload": [125, 126], "get_dataset_class": 8, "get_dist": 156, "get_dp_group": 4, "get_dp_rank": 4, "get_dp_world_s": 4, "get_edge_id": [94, 99], "get_energy_and_forc": 13, "get_forc": [133, 142, 147, 149], "get_from_grid_mat": [44, 53], "get_gp_group": 4, "get_gp_rank": 4, "get_gp_world_s": 4, "get_graphs_and_indic": [80, 81, 133], "get_initi": 82, "get_inner_idx": 94, "get_l_to_all_m_expand_index": 40, "get_logger_class": 8, "get_loss_modul": 17, "get_lr": [48, 119], "get_max_neighbors_mask": 17, "get_metadata": [19, 25, 27], "get_mixed_triplet": 83, "get_mlp": [57, 70, 84], "get_model_class": 8, "get_neighbor_ord": 94, "get_normalization_lay": 40, "get_pars": [3, 157], "get_pbc_dist": [17, 147], "get_potential_energi": [132, 133, 134, 142, 147, 149, 151, 153, 154, 156], "get_projected_angl": 94, "get_properti": 133, "get_pruned_edge_idx": 17, "get_quadruplet": 83, "get_rank": 2, "get_relaxed_energi": [19, 25], "get_rotate_inv_rescal": 44, "get_sampl": [125, 126], "get_sph_harm_basi": [86, 133], "get_stress": 9, "get_tag": [138, 140, 147, 149, 151, 154], "get_task_class": 8, "get_to_grid_mat": [44, 53], "get_trainer_class": 8, "get_triplet": [54, 55, 67, 68, 83], "get_volum": 132, "get_world_s": 2, "getattr": 133, "gete": 142, "getlogg": 157, "gga": [132, 134], "gib": 133, "gif": 149, "gin": 98, "gist": 151, "git": 158, "github": [24, 32, 129, 133, 138, 139, 140, 141, 146, 147, 148, 156], "give": [17, 66, 79, 94, 143, 145, 147], "given": [1, 4, 14, 25, 27, 42, 66, 79, 80, 81, 94, 98, 110, 121, 122, 140, 147, 148], "glibc2": 158, "glob": [19, 25, 147, 151, 154], "global": [8, 66, 79, 94, 99, 100], "gndt_oc22_all_s2ef": 134, "gnn": [36, 38, 51, 52, 98, 101, 103, 147], "gnoc": 156, "gnoc_oc22_oc20_all_s2ef": [132, 144, 157, 158], "go": [40, 80, 81, 129, 132, 146, 147, 153], "goal": [147, 151], "goe": 147, "gold": 134, "goldfarb": 147, "good": [129, 132, 134, 147, 153, 154], "googl": 150, "gotcha": 145, "gov": [147, 153], "goyal": [129, 130, 139, 146, 147], "gp_gpu": 157, "gp_util": [0, 6, 30], "gpa": 132, "gpu": [128, 129, 132, 133, 134, 140, 141, 147, 151, 154, 157], "grab": 154, "grad": [4, 17], "grad_input": 147, "grad_output": 4, "grad_scal": [132, 133, 134, 144, 147, 151, 153, 154, 157], "grad_target_mean": [141, 147], "grad_target_std": [141, 147], "gradcheck": 4, "gradient": [4, 7, 54, 55, 57, 67, 68, 70, 80, 81, 84, 147, 149], "gradscal": [89, 132, 133, 134, 144, 147, 151, 153, 154, 157], "grain": 1, "grant": [32, 98, 137, 147], "granular": 98, "graph": [34, 36, 38, 49, 51, 52, 80, 81, 83, 98, 100, 101, 103, 121, 122, 146, 147, 158], "graph_in": 83, "graph_out": 83, "graphdroppath": 34, "graphparallelgemnett": [67, 68], "graphsag": 98, "great": [147, 149], "greedili": 1, "grei": 147, "grep": [132, 134, 135], "grid": [36, 38, 44, 49, 51, 53, 82, 105, 147, 156], "grid_init": 82, "grid_resolut": [36, 38], "groenenboom": 134, "ground": [147, 149], "group": [2, 21, 134], "grow": 147, "growth": 132, "growth_factor": 89, "growth_interv": 89, "guess": [142, 147, 151, 153], "guess_property_metadata": 29, "guess_target_metadata": 29, "gz": [129, 130, 131, 147], "g\u00fcnnemann": 147, "h": [57, 61, 63, 70, 74, 76, 84, 88, 91, 129, 133, 142, 147, 149, 151, 153, 156, 157], "h2": [142, 147, 149, 153], "h2o": [133, 147, 149, 153], "h2s3si2": 142, "h2si": 142, "h3": 142, "h3n": 142, "h4si": 142, "h6sesi2": 142, "h6ssi2": 142, "h8n2s5": 142, "h8p4si": 142, "h8si": 142, "h9psi3": 142, "h_": [100, 147, 153], "h_atom": 147, "h_t": 147, "ha": [1, 4, 9, 17, 19, 54, 55, 59, 67, 68, 72, 80, 81, 86, 94, 97, 98, 101, 103, 129, 132, 133, 134, 136, 144, 146, 147, 148, 151, 153, 154, 158], "had": [129, 147, 156, 158], "hadamard": [63, 76], "halid": 129, "halv": 40, "hand": [157, 158], "handl": [4, 142, 158], "handler": 17, "handler_err": 157, "handler_out": 157, "handpick": 147, "happen": [132, 133, 147, 151, 156], "happi": 147, "hard": 147, "hardwar": [98, 135, 141], "harm": [59, 72, 86], "harmon": [32, 36, 38, 43, 44, 49, 51, 52, 53, 59, 72, 86, 101, 103, 105], "has_surface_chang": [151, 154], "hashabl": 109, "have": [1, 4, 25, 26, 31, 32, 33, 34, 36, 37, 38, 40, 44, 58, 71, 80, 81, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 128, 129, 132, 133, 134, 140, 141, 142, 146, 147, 148, 151, 153, 154, 156, 157, 158], "hcp": 153, "he": [56, 69, 82], "he_orthogonal_init": [56, 58, 69, 71, 82, 85], "head": [36, 38, 49, 157], "hear": 159, "heavili": [32, 142], "height": [133, 144, 153], "help": [17, 19, 25, 121, 122, 134, 136, 145, 147, 149, 158], "helper": [44, 53, 105, 125, 126, 132], "henc": 83, "henkelman": 129, "heorthogon": [54, 55, 57, 67, 68, 70, 80, 81, 132, 147, 157], "her": [148, 151], "hera": [129, 130, 139, 146, 147], "here": [26, 54, 55, 67, 68, 80, 81, 97, 98, 129, 132, 133, 134, 139, 140, 141, 143, 146, 147, 149, 150, 151, 153, 154, 156, 157, 158], "herebi": [32, 98, 137, 147], "hessian": 147, "heurist": [129, 151, 154], "heuristic_adslab": [151, 154], "heuristic_adslabs_h": 151, "heuristic_adslabs_nnh": 151, "hf": 142, "hf10mnsb5": 142, "hf10mo3si": 142, "hf2": 142, "hf2a": 142, "hf2as3si": 142, "hf2ge": 142, "hf2hg": 142, "hf2hsi": 142, "hf2in5": 142, "hf2inni2": 142, "hf2inpd2": 142, "hf2irmn": 142, "hf2irmo": 142, "hf2irni": 142, "hf2irpd": 142, "hf2irrh": 142, "hf2irru": 142, "hf2irtc": 142, "hf2mno": 142, "hf2mnrh": 142, "hf2mo3si": 142, "hf2mopt": 142, "hf2morh": 142, "hf2n": 142, "hf2n2": 142, "hf2n2se": 142, "hf2nb3ge4": 142, "hf2ni": 142, "hf2ni2sn": 142, "hf2ni3p3": 142, "hf2ni3si": 142, "hf2ni7": 142, "hf2nip": 142, "hf2nis4": 142, "hf2nitc": 142, "hf2ospd": 142, "hf2osrh": 142, "hf2osru": 142, "hf2ostc": 142, "hf2p": 142, "hf2pd": 142, "hf2pdh2": 142, "hf2pdre": 142, "hf2pdtc": 142, "hf2psb": 142, "hf2pt3": 142, "hf2rerh": 142, "hf2reru": 142, "hf2rezn": 142, "hf2rhru": 142, "hf2rhtc": 142, "hf2rutc": 142, "hf2ruv3": 142, "hf2s3se3": 142, "hf2sc3si4": 142, "hf2se": 142, "hf2se3": 142, "hf2si": 142, "hf2sr5n6": 142, "hf2tczn": 142, "hf2te3": 142, "hf2v3ge": 142, "hf2zn": 142, "hf3a": 142, "hf3as2": 142, "hf3ge2": 142, "hf3hg": 142, "hf3in4": 142, "hf3n2": 142, "hf3n4": 142, "hf3nb2ge4": 142, "hf3ni3sb4": 142, "hf3ni4ge4": 142, "hf3ni7": 142, "hf3p": 142, "hf3p2": 142, "hf3pb": 142, "hf3pd4p3": 142, "hf3rh5": 142, "hf3sb": 142, "hf3sc": 142, "hf3scsi4": 142, "hf3si2": 142, "hf3sn": 142, "hf3te2": 142, "hf3znn": 142, "hf4gesb7": 142, "hf4n3": 142, "hf4nbge4": 142, "hf4ni3as8": 142, "hf4nip": 142, "hf5ge3": 142, "hf5ge4": 142, "hf5in4rh2": 142, "hf5ir3": 142, "hf5nisb3": 142, "hf5pd9p7": 142, "hf5re24": 142, "hf5sb9": 142, "hf5sc": 142, "hf5sc5ge6": 142, "hf5sc5si6": 142, "hf5scsi4": 142, "hf5si3": 142, "hf5si4": 142, "hf5sn3": 142, "hf5sn4": 142, "hf5te4": 142, "hf5znsb3": 142, "hf7as4": 142, "hf7ni10": 142, "hf7p4": 142, "hf8mnte6": 142, "hf8mo5g": 142, "hf8ni21": 142, "hf9mo4a": 142, "hf9mo4p": 142, "hf9mo4si": 142, "hf9re4p": 142, "hf9re4s": 142, "hf9w4p": 142, "hfa": 142, "hfas2": 142, "hfcl12se2": 142, "hfcl4": 142, "hfcl6se4": 142, "hfcl6te4": 142, "hfcln": 142, "hfge": 142, "hfge2": 142, "hfgese": 142, "hfgete4": 142, "hfh2": 142, "hfinni2": 142, "hfinpd2": 142, "hfinpt2": 142, "hfinrh2": 142, "hfir": 142, "hfir2mn": 142, "hfir2sc": 142, "hfir2zn": 142, "hfir3": 142, "hfirg": 142, "hfirsn": 142, "hfmn2": 142, "hfmn6ge6": 142, "hfmn6sn6": 142, "hfmnge": 142, "hfmnge2": 142, "hfmnp": 142, "hfmnrh2": 142, "hfmnsi": 142, "hfmo2": 142, "hfmo4ti": 142, "hfmo4zr": 142, "hfmoge": 142, "hfmop": 142, "hfmosb4": 142, "hfmosi": 142, "hfmotc2": 142, "hfn": 142, "hfna2n2": 142, "hfna5as3": 142, "hfnbn2": 142, "hfnbp": 142, "hfnbru2": 142, "hfnbtc2": 142, "hfni": 142, "hfni2": 142, "hfni2sb": 142, "hfni2si2": 142, "hfni2sn": 142, "hfni2zn": 142, "hfni3": 142, "hfni4as2": 142, "hfni5": 142, "hfnia": 142, "hfnige": 142, "hfnip": 142, "hfnisb": 142, "hfnisi": 142, "hfnisn": 142, "hfo": 142, "hfos2": 142, "hfos2sc": 142, "hfos2zr": 142, "hfosg": 142, "hfosp": 142, "hfossi": 142, "hfp": 142, "hfp2": 142, "hfp2s6": 142, "hfpbs3": 142, "hfpd": 142, "hfpd2": 142, "hfpd2zn": 142, "hfpd3": 142, "hfpd5": 142, "hfpdge": 142, "hfpdsb": 142, "hfpdsi": 142, "hfpdsn": 142, "hfpt": 142, "hfpt2zn": 142, "hfpt3": 142, "hfpt4": 142, "hfptge": 142, "hfptsi": 142, "hfresi": 142, "hfrh": 142, "hfrh2sc": 142, "hfrh2sn": 142, "hfrh2zn": 142, "hfrh3": 142, "hfrhge": 142, "hfrhsi": 142, "hfrhsn": 142, "hfru": 142, "hfru2g": 142, "hfru2sc": 142, "hfru2si": 142, "hfru2sn": 142, "hfru2ta": 142, "hfru2ti": 142, "hfru2zr": 142, "hfrua": 142, "hfruge": 142, "hfruge2": 142, "hfrup": 142, "hfrusb": 142, "hfrusi": 142, "hfs2": 142, "hfs3": 142, "hfsb": 142, "hfsb2": 142, "hfsc3si8": 142, "hfscge4": 142, "hfscsi2": 142, "hfsctc2": 142, "hfse2": 142, "hfse3": 142, "hfse4t": 142, "hfsesi": 142, "hfsete": 142, "hfsi": 142, "hfsi2": 142, "hfsite": 142, "hfsn": 142, "hfsn2": 142, "hfsns3": 142, "hfsntc2": 142, "hfsrn2": 142, "hfsse": 142, "hfssi": 142, "hfste": 142, "hftatc2": 142, "hftav4": 142, "hftc": 142, "hftc2": 142, "hftc2sb": 142, "hftc2w": 142, "hftc2zr": 142, "hfte3": 142, "hfte5": 142, "hfti4se10": 142, "hftin2": 142, "hftise4": 142, "hftizn2": 142, "hftl2se3": 142, "hftl4se4": 142, "hftl4te4": 142, "hfv2h4": 142, "hfvge": 142, "hfvp": 142, "hfvsi": 142, "hfw2": 142, "hfw4zr": 142, "hfwsi": 142, "hfy2s5": 142, "hfzn": 142, "hfzn16": 142, "hfzn2": 142, "hfzn2zr": 142, "hfzn3": 142, "hfznn2": 142, "hfzr": 142, "hfzrn2": 142, "hfzrs6": 142, "hg": 142, "hg11k3": 142, "hg19rb5": 142, "hg2ascl2": 142, "hg2cl2p": 142, "hg2clp3": 142, "hg2gese4": 142, "hg2inna": 142, "hg2insr": 142, "hg2k": 142, "hg2mnte3": 142, "hg2na": 142, "hg2na3": 142, "hg2nasr": 142, "hg2p2s7": 142, "hg2pbsr": 142, "hg2rb": 142, "hg2rh": 142, "hg2sete": 142, "hg2sn2sr": 142, "hg2snse4": 142, "hg2sr": 142, "hg2sr3": 142, "hg2srtl": 142, "hg2srtl2": 142, "hg2sse": 142, "hg2ste": 142, "hg2y": 142, "hg3cl2s2": 142, "hg3cl2se2": 142, "hg3cl2te2": 142, "hg3in2te6": 142, "hg3k": 142, "hg3na": 142, "hg3rb2se4": 142, "hg3sc": 142, "hg3sr": 142, "hg3tl": 142, "hg3y": 142, "hg3zr": 142, "hg4pt": 142, "hg4s6si": 142, "hg4se6si": 142, "hg4znte5": 142, "hg5in2te8": 142, "hg5kcl11": 142, "hg5pd2": 142, "hg5rbcl11": 142, "hg6k": 142, "hg7k2": 142, "hgcl": 142, "hgcl2": 142, "hgin": 142, "hgin2s4": 142, "hgin2se4": 142, "hgin2te4": 142, "hgin3sr": 142, "hginsc2": 142, "hginsr2": 142, "hgk": 142, "hgk2cl4": 142, "hgk2s2": 142, "hgk3": 142, "hgk4as2": 142, "hgk4p2": 142, "hgka": 142, "hgksb": 142, "hgmns2": 142, "hgmo6s8": 142, "hgna": 142, "hgna2pb": 142, "hgna2s2": 142, "hgna2sn": 142, "hgna2tl": 142, "hgna3": 142, "hgna4p2": 142, "hgnapd2": 142, "hgp2si": 142, "hgpb4": 142, "hgpbsr": 142, "hgpbsr2": 142, "hgpd": 142, "hgpd2y": 142, "hgpd3": 142, "hgpd5a": 142, "hgpd5p": 142, "hgpd5se": 142, "hgps3": 142, "hgpt2se3": 142, "hgpt5p": 142, "hgrb3": 142, "hgs4": 142, "hgsc": 142, "hgsc2tc": 142, "hgsc2tl": 142, "hgsc2zn": 142, "hgsc3": 142, "hgse": 142, "hgsnsr": 142, "hgsnsr2": 142, "hgsr": 142, "hgsr2zn": 142, "hgsr3": 142, "hgtas2": 142, "hgte": 142, "hgti": 142, "hgti3": 142, "hgtl": 142, "hgy": 142, "hgy2zn": 142, "hgzns2": 142, "hgznse2": 142, "hgznte2": 142, "hgzr": 142, "hgzr3": 142, "hidden": [32, 36, 38, 39, 49, 51, 52, 100, 101, 103], "hidden_channel": [32, 39, 43, 49, 51, 52, 97, 98, 100, 101, 103], "hidden_channels_list": 103, "hide_eval_progressbar": 157, "hierarchi": 17, "high": [128, 132, 140, 142, 147, 156, 158], "higher": [40, 153, 156, 157], "highli": [138, 153], "highlight": [143, 147], "hist": [134, 138, 147], "histor": [25, 27, 28], "histori": 147, "hit": 147, "hmac": 134, "hn": 142, "hn2p": 142, "hns3": 142, "hns7": 142, "hns8": 142, "hns9": 142, "ho": [129, 139, 146, 147], "hold": 41, "holder": [32, 98, 137, 147], "hollow": 151, "home": [132, 134, 147, 157, 158], "hook": [133, 135], "hope": [146, 147], "host": [134, 141, 146], "hostedtoolcach": [132, 133, 134, 138, 142, 144, 147, 149, 151, 153, 154, 156, 157, 158], "hot": [21, 23, 24], "hour": [147, 151], "how": [4, 80, 81, 128, 132, 134, 136, 138, 139, 141, 143, 144, 145, 146, 147, 148, 149, 150, 153, 154, 156, 158], "howev": [34, 59, 72, 86, 98, 128, 147, 149, 153, 154, 157], "hpo_util": [0, 6, 30], "hsi3": 142, "html": [19, 25, 129, 135, 141, 142, 147, 149, 156], "http": [19, 25, 32, 66, 79, 94, 97, 98, 99, 129, 130, 132, 133, 134, 135, 138, 139, 141, 142, 147, 148, 149, 151, 153, 156], "hu": [129, 139, 146, 147], "hundr": 142, "hybrid": 141, "hydrogen": 147, "hyperparamet": [54, 55, 64, 65, 67, 68, 77, 78, 80, 81, 92, 93, 140, 147], "i": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 17, 18, 19, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 36, 37, 38, 39, 40, 41, 44, 45, 46, 48, 49, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 97, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 112, 113, 116, 117, 119, 121, 122, 124, 125, 126, 127, 128, 129, 130, 131, 132, 134, 135, 137, 138, 139, 141, 142, 144, 146, 147, 148, 149, 150, 151, 153, 154, 156, 157, 158], "i_structur": [147, 149], "ibrion": 132, "iccv": 40, "id": [19, 25, 26, 129, 130, 132, 134, 138, 139, 141, 142, 147, 151, 157], "id001": 147, "id3_ba": [54, 55, 63, 67, 68, 76], "id3_ca": [54, 55, 63, 65, 67, 68, 76, 78], "id3_ragged_idx": [54, 55, 63, 67, 68, 76], "id_": [66, 79, 94], "id_ca": [60, 73], "id_j": [57, 70], "id_ragged_idx": [60, 73], "id_reduc": [60, 73], "id_swap": [63, 76, 91], "id_t": [66, 79, 94], "idea": [134, 143, 145, 146, 147, 151], "identifi": [19, 25, 45, 46, 121, 122, 125, 126, 127, 129, 130, 132, 134, 138, 147, 148, 149, 151, 157], "idna": 142, "idx": [19, 25, 26, 27, 28, 91, 94, 138, 147, 148, 151, 154], "idx_": [61, 63, 74, 76, 147], "idx_agg2": 91, "idx_agg2_inn": [87, 91], "idx_agg2_out": 87, "idx_agg_inn": 87, "idx_agg_out": 87, "idx_atom": 84, "idx_ji": 32, "idx_kj": 32, "idx_rad_inn": 87, "idx_rad_out": 87, "idx_sph_inn": 87, "idx_sph_out": 87, "idx_t": [61, 63, 74, 76, 133, 147], "idxs_to_keep": 154, "ignor": [1, 9, 25, 27, 28, 133, 149], "ij": 147, "ill": 94, "illumin": 147, "illustr": [134, 147, 149], "iloc": 154, "imag": [40, 83, 133, 138, 147, 149], "imagin": 154, "impact": [150, 153], "impl": 34, "implement": [1, 4, 9, 19, 25, 27, 32, 33, 34, 37, 98, 129, 146, 147, 154, 156], "implemented_properti": 9, "impli": [32, 98, 137, 147], "implicit": 158, "import": [8, 17, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 132, 133, 134, 135, 138, 140, 142, 144, 148, 149, 151, 153, 154, 156, 157, 158], "importantli": 19, "improv": [110, 132, 133, 134, 147, 153, 154], "in10pb6s21": 142, "in11s16": 142, "in11sr3": 142, "in12k2se19": 142, "in2asp": 142, "in2assb": 142, "in2c3n6": 142, "in2ir": 142, "in2irsr": 142, "in2mn2se5": 142, "in2mns4": 142, "in2mnse4": 142, "in2mnte4": 142, "in2na2sb3": 142, "in2nb3cl9": 142, "in2ni3s2": 142, "in2ni3se2": 142, "in2ni9i": 142, "in2nii": 142, "in2nis4": 142, "in2p3se9": 142, "in2pbs4": 142, "in2pd8s": 142, "in2pdsr": 142, "in2pt": 142, "in2pt8a": 142, "in2ptsr": 142, "in2rh3s2": 142, "in2rhsr": 142, "in2s": 142, "in2s3": 142, "in2sc": 142, "in2se3": 142, "in2sn3s7": 142, "in2sr": 142, "in2sr3p4": 142, "in2sr4n": 142, "in2sr5sb6": 142, "in2srp2": 142, "in2srte4": 142, "in2ta3cl9": 142, "in2ta3s6": 142, "in2te3": 142, "in2te5": 142, "in2zn2s5": 142, "in2zn3s6": 142, "in2zns4": 142, "in2znse4": 142, "in2znte4": 142, "in2zr": 142, "in3asse3": 142, "in3i": 142, "in3ir": 142, "in3k4ge20": 142, "in3na": 142, "in3na7se8": 142, "in3nas5": 142, "in3ni7": 142, "in3pb": 142, "in3pb3y2": 142, "in3pd2": 142, "in3pd5": 142, "in3pt2": 142, "in3pt4": 142, "in3rb2": 142, "in3rh": 142, "in3rh2sr2": 142, "in3rh2ti3": 142, "in3ru": 142, "in3s4": 142, "in3sbte2": 142, "in3sc": 142, "in3sn3y2": 142, "in3sr": 142, "in3sr5": 142, "in3srzn": 142, "in3te4": 142, "in3tls5": 142, "in3tlse4": 142, "in3zr": 142, "in4as3s": 142, "in4asp3": 142, "in4irsr": 142, "in4k": 142, "in4nisr": 142, "in4pbsr3": 142, "in4pd17se4": 142, "in4pd2y5": 142, "in4pdsr": 142, "in4rb": 142, "in4rh2sc5": 142, "in4rh2zr5": 142, "in4sbte3": 142, "in4se3": 142, "in4sns8": 142, "in4sr": 142, "in4ti3": 142, "in5cl9": 142, "in5cls5": 142, "in5clse5": 142, "in5ks8": 142, "in5pt11": 142, "in5rbs8": 142, "in5rhi": 142, "in5s8": 142, "in5sr": 142, "in5tl3se8": 142, "in5tls8": 142, "in5y3": 142, "in6pbte10": 142, "in6s7": 142, "in6se7": 142, "in6sn8s19": 142, "in7k2sr": 142, "in7ni3": 142, "in7pd3": 142, "in7pt3": 142, "in7te10": 142, "in8ir2sr": 142, "in8rh2sr": 142, "in9kni2": 142, "in9ni13": 142, "in9ni4y11": 142, "in9pb4s17": 142, "in9pt13": 142, "in_channel": [33, 103], "in_featur": [44, 58, 85, 147], "in_lmax": [44, 53], "in_mmax": [44, 53], "ina": 142, "inact": 158, "inc": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 137], "incar": 132, "incid": 83, "incl": 142, "incl3": 142, "incl3g": 142, "inclt": 142, "includ": [9, 17, 19, 25, 32, 54, 55, 67, 68, 98, 121, 122, 128, 129, 132, 134, 137, 141, 142, 143, 147, 150, 151, 153, 158], "include_data": [25, 26], "include_relaxed_energi": [19, 25, 128], "incom": 83, "incompat": [132, 133, 134, 144, 147, 151, 153, 154], "incorpor": [148, 154], "incorrect": 129, "increas": [17, 66, 79, 94, 99, 147, 151], "increasingli": 158, "increment": [66, 79, 94, 99], "ind": [134, 156], "independ": 141, "index": [17, 19, 25, 26, 27, 41, 66, 70, 79, 94, 98, 99, 121, 122, 128, 129, 132, 135, 138, 147, 148, 149, 154, 156], "index_fil": [19, 25, 128], "index_fn": [116, 117], "indexfn": [116, 117], "indic": [1, 25, 27, 39, 49, 54, 55, 66, 67, 68, 79, 80, 81, 83, 94, 99, 100, 121, 122, 129, 130, 132, 133, 138, 142, 147, 148, 149, 154], "individu": [121, 122, 133, 142], "inf": [80, 81, 89], "infer": [25, 27, 28, 140, 145], "infinit": [147, 149], "influenc": 153, "info": [5, 34, 51, 52, 101, 103, 121, 122, 134, 147, 150, 157], "info_str": 41, "inform": [8, 15, 19, 25, 33, 34, 37, 121, 122, 128, 132, 138, 142, 147, 148, 149, 153, 154, 156, 158], "infrastructur": 128, "ingete2": 142, "ingo": 83, "inherit": [125, 126], "ini": 142, "inir2sc": 142, "init_basis_funct": [80, 81], "init_edge_rot_mat": 35, "init_kwarg": 82, "init_scal": 89, "init_shared_basis_lay": [80, 81], "initi": [0, 2, 4, 11, 17, 19, 25, 27, 28, 30, 36, 38, 45, 46, 54, 55, 57, 58, 60, 61, 64, 67, 68, 70, 71, 73, 74, 77, 80, 81, 85, 88, 92, 95, 98, 107, 110, 117, 126, 127, 142, 146, 149, 151, 153, 154], "initial_atom": 154, "initial_charg": [9, 151], "initial_lr": 17, "initial_magmom": [9, 151], "initial_struc": [138, 147], "initialize_": [116, 117], "initwignerdmatrix": 105, "inityrotmap": 105, "ink3cl6": 142, "ink3p2": 142, "ink5pb8": 142, "ink6p3": 142, "inkcl3": 142, "inks2": 142, "inkse2": 142, "inkte2": 142, "inlin": [133, 147, 149], "inmnni2": 142, "inmnpd2": 142, "inmnrh2": 142, "inmo3se3": 142, "inmo3te3": 142, "inmo6s8": 142, "inmo6se8": 142, "inmos2": 142, "inn": 142, "inna": 142, "inna2": 142, "inna3": 142, "inna3as2": 142, "inna3p2": 142, "inna3s3": 142, "inna3sb2": 142, "inna5s4": 142, "innapd2": 142, "innas2": 142, "innase2": 142, "innasr2": 142, "innate2": 142, "innatl2": 142, "innb12sn3": 142, "innb2c": 142, "innb6se8": 142, "innbru2": 142, "innbs2": 142, "innbse2": 142, "inner": [66, 79, 94, 147], "inner_product_clamp": 94, "inner_product_norm": [66, 79], "inni": 142, "inni2": 142, "inni2sc": 142, "inni2sc2": 142, "inni2sn": 142, "inni2ti": 142, "inni2ti2": 142, "inni2y2": 142, "inni2zr": 142, "inni2zr2": 142, "inni3": 142, "inni3n": 142, "inni4sc": 142, "inni4zr": 142, "innov": 147, "inp": 142, "inp3": 142, "inpb4te5": 142, "inpbcl3": 142, "inpd": 142, "inpd2": 142, "inpd2i": 142, "inpd2sc": 142, "inpd2sc2": 142, "inpd2sr2": 142, "inpd2ti": 142, "inpd2y2": 142, "inpd2zn": 142, "inpd2zr": 142, "inpd3": 142, "inpd5a": 142, "inpd5p": 142, "inpd5s": 142, "inpdi": 142, "inpdsr": 142, "inplac": 33, "inps4": 142, "inpt2": 142, "inpt2i": 142, "inpt2sc": 142, "inpt2sr2": 142, "inpt2ti": 142, "inpt2zr": 142, "inpt5a": 142, "inpt5p": 142, "inpt5si": 142, "inpti": 142, "inptsc": 142, "inptsr": 142, "input": [4, 17, 33, 40, 42, 43, 44, 48, 54, 55, 58, 59, 67, 68, 71, 72, 82, 83, 85, 86, 87, 88, 91, 98, 106, 112, 119, 129, 130, 131, 132, 140, 141, 142, 146, 147, 156], "input_block": [0, 30, 38, 95], "input_channel": [39, 43, 49], "input_embed": [44, 49], "input_scalar": 33, "input_tensor": 33, "inquir": 142, "inrb3cl6": 142, "inrbcl3": 142, "inrbs2": 142, "inrbse2": 142, "inrbte2": 142, "inrh": 142, "inrh2i": 142, "inrh2sc": 142, "inrh2ti": 142, "inrh2zn": 142, "inrh2zr": 142, "inrh3": 142, "inrhi": 142, "inru2ta": 142, "ins": 142, "ins3sb": 142, "insb": 142, "insbse3": 142, "insc": 142, "insc2": 142, "insc2zn": 142, "insc3": 142, "insc3n": 142, "insert": [1, 9], "insid": 85, "insite3": 142, "insn2cl5": 142, "insn2te3": 142, "insn3se4": 142, "insncl3": 142, "insnte2": 142, "inspect": [132, 142, 151, 153, 156], "inspir": [8, 89, 147], "insr": 142, "insr2n2": 142, "insr2tl": 142, "insr2zn": 142, "insr3n3": 142, "insr3p3": 142, "instal": [15, 144, 147, 158], "instanc": [17, 19, 25, 147], "instanti": [19, 98, 154], "instead": [4, 14, 21, 83, 94, 129, 132, 133, 138, 141, 144, 147, 149, 151, 154, 157], "instruct": [135, 146, 147, 154], "int": [1, 2, 4, 7, 9, 11, 13, 14, 17, 19, 25, 26, 27, 28, 31, 32, 33, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 97, 98, 99, 100, 101, 102, 103, 104, 105, 107, 109, 112, 115, 117, 121, 122, 125, 126, 127, 134, 142, 147, 148, 154], "int32": 148, "int_": [1, 107], "int_block": 147, "int_emb_s": 32, "inta2s4": 142, "intas2": 142, "intase2": 142, "integ": [15, 25, 26, 27, 28, 121, 122, 129, 130, 132], "integr": [25, 27, 36, 38, 44, 51, 52, 101, 103], "intend": [4, 19, 25, 138, 147], "intens": [147, 158], "intention": 129, "interact": [19, 32, 61, 63, 74, 76, 80, 81, 83, 88, 91, 100, 101, 103, 133, 140, 146, 149, 150, 158], "interaction_block": [0, 55, 62, 68, 75, 81, 90, 95], "interaction_indic": [0, 30, 81, 95], "interactionblock": 91, "interactionblocktripletsonli": [63, 76], "interactionppblock": 32, "interactiveshel": 138, "interactom": [54, 55, 67, 68], "interatom": [32, 54, 55, 67, 68, 80, 81, 100, 121, 122], "intercal": [151, 154], "intercept": 151, "interest": [129, 138, 141, 147, 149, 150], "interfac": [7, 9, 132, 147], "intermedi": [60, 73, 83, 87, 147], "intermetal": 129, "intermitt": 147, "intern": [8, 17, 129], "internal_weight": 43, "internet": 158, "interplai": 147, "interpret": 153, "interrel": 147, "interv": [14, 149], "inti": 142, "inti2c": 142, "inti2n": 142, "inti3": 142, "inti3c": 142, "inti3n": 142, "inti5s8": 142, "intlcl3": 142, "intls2": 142, "intly2": 142, "intro": [136, 145], "introduc": [98, 153, 158], "introduct": [145, 147, 152], "intuit": [147, 149], "inv2c": 142, "inv6s8": 142, "inv9s12": 142, "inv_cutoff": 147, "invalid": 151, "invari": [17, 36, 38, 39, 43, 49, 51, 52, 98, 158], "invers": [64, 77, 92], "inverse_neg": [54, 55, 67, 68, 97, 98], "investig": [153, 156, 158], "involv": [1, 147], "iny2": 142, "iny2cl7": 142, "iny2ge2": 142, "iny2zn": 142, "iny3": 142, "inzn4s6": 142, "inzr": 142, "inzr2n": 142, "inzr3": 142, "io": [19, 25, 128, 129, 133, 138, 142, 147, 148, 149, 151, 154, 156], "ioniz": 21, "iprogress": [142, 156], "ipynb": 148, "ipython": [132, 138, 142, 147, 149, 157], "ipywidget": [142, 156], "ir": [142, 153], "ir19sc5p12": 142, "ir2ge3se3": 142, "ir2ge3te3": 142, "ir2i": 142, "ir2kas2": 142, "ir2kp2": 142, "ir2mnti": 142, "ir2mnzn": 142, "ir2nb3se10": 142, "ir2nb3v3": 142, "ir2oszr5": 142, "ir2p": 142, "ir2rbp2": 142, "ir2s3": 142, "ir2sc": 142, "ir2si": 142, "ir2sn3te3": 142, "ir2snse5": 142, "ir2sr": 142, "ir2srge2": 142, "ir2srp2": 142, "ir2ti3": 142, "ir2tizn": 142, "ir2ysi2": 142, "ir2zn11": 142, "ir2znzr": 142, "ir2zr": 142, "ir3ge7": 142, "ir3i": 142, "ir3mn": 142, "ir3mo": 142, "ir3nb": 142, "ir3pt3zr10": 142, "ir3r": 142, "ir3rh": 142, "ir3ru": 142, "ir3s8": 142, "ir3sc": 142, "ir3scsi7": 142, "ir3se8": 142, "ir3si4": 142, "ir3si5": 142, "ir3sn7": 142, "ir3ta": 142, "ir3tc": 142, "ir3te8": 142, "ir3ti": 142, "ir3v": 142, "ir3w": 142, "ir3y2ge5": 142, "ir3y5": 142, "ir3zr": 142, "ir3zr5": 142, "ir4ge5": 142, "ir4si5": 142, "ir4sn4sr3": 142, "ir7mn4ge6": 142, "ir7nb5": 142, "ir7sc4ge6": 142, "ir7sc4si6": 142, "iras2": 142, "iras3": 142, "irass": 142, "irassb": 142, "irast": 142, "ircl3": 142, "ircl3te6": 142, "ircl6n4": 142, "ircl7te7": 142, "irg": 142, "irge4": 142, "iri": 142, "irmn": 142, "irmn2rh": 142, "irmn3": 142, "irmn3n": 142, "irmng": 142, "irmnsb": 142, "irmnsi": 142, "irmnti2": 142, "irmo": 142, "irmo3": 142, "irmota2": 142, "irmoti2": 142, "irna3h6": 142, "irna3n2": 142, "irnb": 142, "irnb3": 142, "irnb3s8": 142, "irnb3se8": 142, "irnb4se10": 142, "irnb9se20": 142, "irnbg": 142, "irnbsi": 142, "irnbta2": 142, "irnbte4": 142, "irnisc2": 142, "irniti2": 142, "irniy2": 142, "irnizn2": 142, "iro2": 132, "irossc2": 142, "irp": 142, "irp2": 142, "irp3": 142, "irp3si3": 142, "irpdsc2": 142, "irpdy2": 142, "irpt": 142, "irr": 142, "irre3": 142, "irrep": [17, 34, 44, 53], "irreps_sum": 17, "irreti2": 142, "irrh": 142, "irrh3": 142, "irrhsc2": 142, "irrhti2": 142, "irru": 142, "irru3": 142, "irrusc2": 142, "irruti2": 142, "irruy2": 142, "irs2": 142, "irsb": 142, "irsb2": 142, "irsb3": 142, "irsbs": 142, "irsbt": 142, "irsc": 142, "irsc2zn": 142, "irsc6te2": 142, "irscg": 142, "irscp": 142, "irscsi": 142, "irse2": 142, "irsi2": 142, "irsn": 142, "irsn2": 142, "irsn4": 142, "irsni": 142, "irsnti": 142, "irsnzr": 142, "irsr2": 142, "irsr3n3": 142, "irsrge3": 142, "irsrp": 142, "irssb": 142, "irta": 142, "irta2v": 142, "irta3": 142, "irtasi": 142, "irtate4": 142, "irtc": 142, "irtc3": 142, "irtcti2": 142, "irtczr2": 142, "irte2": 142, "irti": 142, "irti2v": 142, "irti2w": 142, "irti3": 142, "irtig": 142, "irtisi": 142, "irv": 142, "irv3": 142, "irw": 142, "iry2zn": 142, "iryg": 142, "iryge2": 142, "irysi": 142, "irysi3": 142, "irzn": 142, "irzn3": 142, "irzr": 142, "irzr2": 142, "irzra": 142, "irzrg": 142, "irzrsi": 142, "is2": 129, "is2r": [25, 27, 28, 45, 46, 126, 127, 128, 134, 140, 144, 150, 154, 158], "is2re_is2re_result": 147, "is2re_predict": [141, 147], "is2re_result": 147, "is2rs_submiss": 141, "is_adsorbate_desorb": [151, 154], "is_adsorbate_dissoci": [151, 154], "is_adsorbate_intercal": [151, 154], "is_avail": [147, 158], "is_debug": [45, 46, 125, 126, 127, 147, 157], "is_mast": 2, "isif": 132, "ismear": 132, "isn": [1, 153], "issu": [24, 132, 133, 134, 140, 146, 147], "item": [8, 147, 156], "iter": [1, 5, 13, 19, 25, 41, 110, 117, 125, 126, 127, 141, 147, 151, 154, 157], "ith": [25, 26], "its": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 137, 142, 147, 154, 158], "itself": [17, 147, 149], "j": [54, 55, 67, 68, 80, 81, 97, 98, 100, 131, 132, 134, 139, 147, 153, 156], "janic": [130, 139, 142, 147], "janlan": 147, "javier": [129, 130, 139, 146, 147], "ji": 147, "jing": 151, "jn": [59, 72, 86], "jn_zero": [59, 72, 86], "job": [17, 133, 147], "johann": 147, "join": [146, 147, 149], "jointli": 141, "journal": [129, 130, 131, 139, 142, 146], "jp508805h": 153, "json": [19, 25, 26, 54, 55, 67, 68, 114, 132, 142, 147, 153], "judgement": [132, 158], "junwoong": [129, 139, 146, 147], "jupyt": [133, 142, 150, 151, 156, 157, 158], "just": [4, 25, 26, 45, 46, 126, 127, 128, 133, 134, 138, 143, 147, 149, 151, 153, 154], "jvp": 4, "k": [21, 23, 24, 59, 72, 86, 117, 142, 147, 151, 153, 156], "k2": 142, "k2as2g": 142, "k2as2si": 142, "k2cl5sb": 142, "k2cl6te": 142, "k2cn2": 142, "k2ge2s5": 142, "k2gese3": 142, "k2gese4": 142, "k2gete4": 142, "k2mn3s4": 142, "k2mncl6": 142, "k2mnn2": 142, "k2mns2": 142, "k2mnse2": 142, "k2mnte2": 142, "k2mo9s11": 142, "k2mocl6": 142, "k2mos4": 142, "k2naa": 142, "k2nacl3": 142, "k2nb3cl9": 142, "k2nb3se6": 142, "k2nbcl6": 142, "k2ni12as7": 142, "k2ni3s4": 142, "k2ni3se4": 142, "k2nias2": 142, "k2oscl6": 142, "k2p2si": 142, "k2p3": 142, "k2pbcl6": 142, "k2pd3s4": 142, "k2pdas2": 142, "k2pdcl4": 142, "k2pdcl6": 142, "k2pdh4": 142, "k2pdp2": 142, "k2pds2": 142, "k2pdse2": 142, "k2pdte2": 142, "k2ptas2": 142, "k2ptc2": 142, "k2ptcl4": 142, "k2ptcl6": 142, "k2pth4": 142, "k2pth6": 142, "k2pts15": 142, "k2pts2": 142, "k2ptse2": 142, "k2rbsb": 142, "k2recl6": 142, "k2rucl6": 142, "k2s3": 142, "k2s3te": 142, "k2s5": 142, "k2s7sb4": 142, "k2se": 142, "k2se3": 142, "k2se3t": 142, "k2se5": 142, "k2sn2s5": 142, "k2sn2se5": 142, "k2sncl6": 142, "k2sns3": 142, "k2snse3": 142, "k2snte5": 142, "k2srcl4": 142, "k2ta3cl9": 142, "k2tacl6": 142, "k2tccl6": 142, "k2tch9": 142, "k2te": 142, "k2te3": 142, "k2ticl6": 142, "k2tis3": 142, "k2wcl6": 142, "k2wse4": 142, "k2ycl5": 142, "k2zn3s4": 142, "k2zn5as4": 142, "k2zn6o7_mp": 130, "k2zncl4": 142, "k2znh4": 142, "k2zns2": 142, "k2znse2": 142, "k2zr7cl18": 142, "k2zrte3": 142, "k3a": 142, "k3ascl6": 142, "k3ass3": 142, "k3ass4": 142, "k3asse3": 142, "k3asse4": 142, "k3cl6sb": 142, "k3ges3": 142, "k3gese3": 142, "k3gete3": 142, "k3mn2cl7": 142, "k3mnh5": 142, "k3mocl6": 142, "k3nah4": 142, "k3nas2": 142, "k3nbs4": 142, "k3p": 142, "k3pdh5": 142, "k3ps4": 142, "k3pse4": 142, "k3pth5": 142, "k3s3sb": 142, "k3s4sb": 142, "k3sb": 142, "k3sbse3": 142, "k3sbse4": 142, "k3sccl6": 142, "k3site3": 142, "k3snsb3": 142, "k3snse3": 142, "k3snte3": 142, "k3tas4": 142, "k3vs4": 142, "k3vse4": 142, "k3ycl6": 142, "k3zn2cl7": 142, "k3znh5": 142, "k4as2se5": 142, "k4ge23": 142, "k4mncl6": 142, "k4nacl5": 142, "k4p3": 142, "k4snse4": 142, "k4zn12o14": 130, "k4znas2": 142, "k4znp2": 142, "k5as4": 142, "k5c3n6": 142, "k5pb24": 142, "k5sb4": 142, "k5se3": 142, "k5snsb3": 142, "k5te3": 142, "k7nbas4": 142, "k8sb2te": 142, "k9nb2as6": 142, "ka": 142, "kaim": [56, 69, 82], "kas3ge3": 142, "kas3si3": 142, "kasse2": 142, "kb": 134, "kc8": 142, "kcl": 142, "kcl3": 142, "kcl3ge": 142, "kcl6sb": 142, "keep": [45, 46, 66, 79, 94, 99, 126, 127, 128, 133, 134, 146, 147, 151, 153, 154], "keep_all_slab": 142, "keep_in_memori": [19, 25, 128], "keep_slabs_with_miller_indic": 142, "kei": [8, 15, 17, 18, 25, 26, 27, 28, 66, 79, 109, 117, 121, 122, 125, 126, 129, 130, 132, 133, 134, 138, 147, 156, 158], "keith": 134, "kept": [36, 38, 154], "kernel": [56, 57, 69, 70, 82, 151, 153], "kernel_initi": [60, 73], "kevin": [129, 139, 146, 147], "key_map": [18, 19, 25, 147], "key_sequ": 17, "key_value_pair": [25, 26, 134], "keyword": [19, 25, 58, 71, 85, 117, 128], "kge": 142, "kge2n3": 142, "kh": 142, "kh2n": 142, "kh3si": 142, "kh8n3": 142, "khot_embed": [0, 22, 25, 30], "kind": [8, 32, 98, 133, 134, 137, 147, 151, 153, 156, 158], "kitchin": [132, 134, 153, 156], "klicpera": 147, "klicperajo": 32, "kmax": [60, 73, 76, 87], "kmna": 142, "kmncl3": 142, "kmnp": 142, "kmnse2": 142, "kmnte2": 142, "kmo3s3": 142, "kmo3se3": 142, "kmo3te3": 142, "kmo6s8": 142, "kn2": 142, "kn3": 142, "kn3si2": 142, "kn7p4": 142, "kna": 142, "kna2": 142, "kna2sb": 142, "kna3h4": 142, "kna4cl5": 142, "knacl2": 142, "knah2": 142, "knase": 142, "knate": 142, "knb2cl11": 142, "knb6se8": 142, "knbcl6": 142, "knbs2": 142, "knbse2": 142, "kni2s2": 142, "kni2se2": 142, "know": [133, 136, 153], "knowledg": 147, "known": 151, "kolluru": [130, 139, 147], "kp": 142, "kp15": 142, "kp2te": 142, "kpb2": 142, "kpb2cl5": 142, "kpb3": 142, "kpd4si4": 142, "kps3": 142, "kpse6": 142, "kpt": 132, "kpt1": 134, "kpt2": 134, "kpt2s3": 142, "kpt2se3": 142, "kpt3": 134, "kpt4si4": 142, "kptn": 142, "kpts_nintersect": 132, "krb": 142, "krbcl2": 142, "krh2as2": 142, "krh2p2": 142, "kru2as2": 142, "kru2p2": 142, "ks2sb": 142, "ks3": 142, "ksb": 142, "ksb2": 142, "ksb2se4": 142, "ksbse2": 142, "kse": 142, "kse3": 142, "ksn2": 142, "ksn2cl5": 142, "ksn2se4": 142, "ksn3": 142, "ksna": 142, "ksns2": 142, "ksnsb": 142, "ksnse2": 142, "ktacl6": 142, "ktccl3": 142, "kte": 142, "kti12se16": 142, "kti5se8": 142, "ktis2": 142, "ktl": 142, "ktlcl3": 142, "ktlcl4": 142, "kv2s4": 142, "kv5s8": 142, "kv5se8": 142, "kwarg": [1, 4, 17, 25, 26, 57, 63, 70, 76, 80, 81, 117, 133], "kwcl6": 142, "kys2": 142, "kyte2": 142, "kzn4p3": 142, "kzna": 142, "kznp": 142, "kznsb": 142, "kzr12te16": 142, "kzrs2": 142, "l": [36, 38, 39, 40, 41, 43, 49, 51, 53, 59, 72, 86, 105, 147, 156], "l2": 156, "l2mae": [132, 147, 157], "l2maeloss": 112, "l4": [133, 134, 139, 144, 158], "l6": [134, 139, 144, 158], "l_degre": [59, 72, 86], "l_harmon": 44, "l_max": 154, "l_maxdegre": [59, 72, 86], "label": [132, 147, 149, 151, 153, 156, 158], "label_metric_dict": 5, "labels": [147, 149], "lack": 158, "lambda": [48, 133], "lambda_": [134, 139, 144, 158], "lambda_f": [134, 139, 144, 158], "lambda_typ": 48, "lambdalr": 48, "lan": [130, 139, 142, 147], "lan2023adsorbml": 142, "laptop": 158, "larg": [1, 19, 25, 131, 132, 134, 138, 139, 140, 144, 147, 149, 153, 157, 158], "larger": [19, 25, 129, 153], "largest": [1, 138, 147], "larri": [136, 147], "last": [9, 19, 25, 39, 49, 98, 128, 132, 133, 157], "lastli": [121, 122], "late": 153, "later": [17, 110, 113, 132, 141, 147, 151, 154, 156, 158], "latest": [143, 146, 147, 159], "latter": [151, 154], "lattic": [153, 156], "launch": [140, 141, 142, 147, 151], "lavril": [129, 139, 146, 147], "lawrenc": [129, 130, 139, 142, 146, 147], "lay12": [133, 134, 139, 144, 158], "lay12al": [134, 144, 158], "lay20": 139, "lay20al": [134, 144, 158], "layer": [0, 8, 30, 32, 34, 36, 38, 40, 42, 49, 51, 52, 54, 55, 67, 68, 80, 81, 95, 98, 100, 101, 103, 107, 133, 147, 149], "layer_idx": 51, "layer_kwarg": [58, 71, 85], "layer_norm": [0, 30, 36, 38, 49, 95], "layer_norm_sh": [36, 38, 49], "layerblock": 51, "lbfg": [13, 147, 149], "lbfgs_torch": [0, 6, 10, 12], "lbl": 147, "lc": 156, "ld_library_path": 135, "lda": 132, "lead": [17, 134, 147], "leaderboard": 147, "leap": 142, "learn": [17, 48, 56, 64, 69, 77, 82, 92, 119, 128, 132, 134, 141, 142, 144, 146, 147, 158], "learnabl": [98, 158], "least": [19, 134], "leav": 151, "led": [129, 147], "left": [98, 129, 132, 151, 152, 155], "legacy_tutori": [145, 147], "legend": [132, 147, 149, 151, 153, 156], "legendr": [59, 72, 86], "legendre_out": [132, 133, 147, 157], "len": [1, 9, 25, 26, 66, 79, 94, 99, 132, 133, 134, 138, 147, 148, 149, 151, 156], "length": [1, 25, 27, 28, 44, 53, 59, 72, 86, 134, 138, 147, 156], "less": [147, 153, 154], "let": [132, 147, 151, 158], "level": [17, 132, 141, 142, 147, 157], "levelnam": 157, "leverag": [147, 151, 153, 158], "lgpl2": 26, "li2cr2o4": 130, "liabil": [32, 98, 137, 147], "liabl": [32, 98, 137, 147], "lib": [132, 133, 134, 138, 142, 144, 147, 149, 151, 153, 154, 156, 157], "lib64": 135, "librari": [142, 146, 147], "licens": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 110, 111, 113, 121, 122, 124, 125, 127, 129, 130, 131, 139, 147], "licro2_mp": 130, "like": [9, 21, 41, 48, 132, 133, 134, 140, 147, 149, 151, 153, 154, 156, 157, 158], "limit": [25, 26, 32, 98, 137, 142, 149, 150, 158], "lin_ref": [36, 38, 140], "line": [33, 34, 37, 129, 132, 133, 134, 135, 150, 151, 153, 157], "linear": [32, 36, 38, 41, 42, 43, 49, 51, 56, 69, 82, 101, 103, 140, 147, 156], "linearli": 17, "linearsigmoid": [36, 38, 51, 52, 101, 103], "linearsigmoidsmear": 104, "linewidth": 151, "link": [129, 130, 131, 141, 143, 146, 147, 157], "linker": 131, "linregress": 151, "linspac": [147, 156], "linux": 158, "list": [1, 2, 9, 14, 15, 17, 19, 25, 26, 27, 31, 36, 38, 39, 41, 42, 43, 44, 48, 49, 51, 52, 53, 59, 72, 80, 81, 86, 98, 107, 117, 121, 122, 129, 132, 134, 139, 142, 147, 154, 156, 158], "liter": [1, 17], "literatur": [152, 158], "literature_data": 151, "littl": [17, 132, 147, 149, 151, 153, 156], "liu": 156, "ll": [134, 135, 144, 147], "lmax": [33, 36, 38, 40, 44, 51, 52, 53, 101, 103, 105], "lmax_list": [36, 38, 39, 43, 44, 49, 51, 52, 53], "lmdb": [19, 25, 27, 28, 128, 129, 130, 131, 140, 141, 150, 154], "lmdb_databas": [0, 25, 30], "lmdb_dataset": [0, 25, 30], "lmdb_dataset_cr": 145, "lmdb_path": [25, 27, 28], "lmdbdatabas": [25, 26], "lmdbdataset": [25, 27, 138, 147], "lmdbdatset": 147, "ln": 147, "load": [9, 19, 25, 26, 27, 28, 36, 38, 110, 114, 125, 126, 128, 129, 130, 132, 133, 134, 140, 141, 144, 151, 153, 156, 158], "load_balanc": [132, 141, 157], "load_checkpoint": [9, 125, 126, 147], "load_config": 17, "load_dataset": [125, 126], "load_dataset_get_id": 19, "load_energy_lin_ref": [36, 38], "load_extra": [45, 46, 125, 126], "load_logg": [125, 126], "load_loss": [125, 126], "load_model": [125, 126], "load_optim": [125, 126], "load_scales_compat": 114, "load_seed_from_config": [125, 126], "load_state_dict": [17, 110, 113], "load_task": [125, 126], "loc": [132, 151], "local": [45, 46, 126, 127, 129, 133, 142, 147, 156, 157], "local_cach": [9, 95, 96, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157, 158], "local_rank": [45, 46, 125, 126, 127, 147, 157], "locat": [134, 147, 149, 154], "lock": 147, "log": [7, 17, 45, 46, 64, 77, 92, 126, 127, 132, 138, 141, 147, 151, 157], "log_formatt": 157, "log_grid_init": 82, "log_plot": 7, "logan": [131, 139], "logarithm": 82, "logdir": [141, 157], "logfil": [138, 148, 151, 153], "logger": [0, 6, 8, 17, 30, 45, 46, 125, 126, 127, 132, 134, 147, 157], "logic": [98, 133], "logrecord": 17, "logs_dir": 147, "lone": 129, "long": [54, 55, 67, 68, 83, 134, 145, 147, 157], "longer": [4, 146, 147], "longtensor": [138, 147], "look": [48, 132, 147, 149, 151, 153, 154, 156], "loop": [19, 25, 132, 151, 156], "lose": [54, 55, 67, 68, 80, 81, 97, 98], "loss": [0, 30, 45, 46, 111, 125, 126, 127, 132, 147], "loss_energi": [132, 147, 157], "loss_fn": [45, 46, 112, 125, 126, 127, 132, 147, 157], "loss_forc": [132, 147, 157], "loss_nam": [17, 112], "lot": [132, 133, 134, 146, 147, 151], "low": [142, 147, 153], "low_e_valu": 154, "lower": [101, 103, 142, 147, 153, 156], "lowest": [132, 151, 153, 154, 156], "lowik": [129, 139, 146, 147], "lr": [119, 147], "lr_gamma": 17, "lr_initi": [132, 141, 147, 157], "lr_mileston": 147, "lr_min_factor": 48, "lr_schedul": [0, 38, 47, 95], "lrschedul": [48, 119], "lv": [50, 53], "lval": [44, 53], "lw": [147, 149], "lzma": 129, "m": [36, 38, 39, 40, 43, 44, 49, 51, 53, 57, 59, 60, 63, 70, 72, 73, 76, 84, 86, 87, 88, 91, 107, 131, 134, 139, 141, 142, 147, 156, 157], "m2": [133, 134, 139, 144, 158], "m3": [134, 139, 144, 158], "m_ba": [60, 73], "m_ca": [60, 73, 87], "m_complex": 44, "m_db": [60, 73], "m_ji": 147, "m_order": [59, 72, 86], "m_output_channel": 43, "m_rbf": [61, 74, 147], "m_st": [61, 74, 88, 147], "machin": [141, 142, 146, 147, 158], "made": [17, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 132, 133, 136, 158], "mae": [109, 112, 132, 134, 139, 147, 157], "magic": 132, "magmom": 9, "magneton": 132, "magnitud": [133, 147], "magnitude_error": [109, 132, 147, 157], "mai": [1, 17, 128, 129, 132, 133, 134, 135, 140, 141, 144, 147, 148, 149, 151, 153, 154, 156], "main": [15, 19, 34, 83, 115, 132, 133, 135, 139, 140, 141, 147, 151, 154, 156, 157, 158], "main_graph": [80, 81, 83, 133], "mainstai": 158, "maintain": [8, 110, 147, 149], "major": [138, 147], "make": [4, 19, 25, 27, 54, 55, 56, 67, 68, 69, 80, 81, 82, 97, 98, 129, 133, 135, 140, 141, 146, 149, 152, 153, 154, 156, 157, 158], "make_lmdb_s": 141, "make_submission_fil": 141, "makedir": [138, 147, 149, 151, 154], "mamba": 135, "manag": 133, "mandatori": 147, "mani": [4, 19, 25, 26, 27, 28, 59, 72, 86, 128, 133, 134, 143, 147, 149, 151, 153, 154, 156], "manner": 147, "manual": 142, "manuscript": [129, 130, 131, 139], "map": [8, 17, 19, 25, 27, 44, 53, 83, 98, 114, 117, 147], "map_async": [138, 147], "map_siz": [138, 147], "mapping_adslab_slab": 129, "mapping_nam": 8, "mappingreduc": [39, 43, 44, 49, 51, 53], "margin": 154, "mark_preempt": 7, "marker": 132, "marshmallow": 142, "mask": [17, 54, 55, 67, 68, 80, 81, 94, 97, 98, 153], "mask_neighbor": [66, 79, 94], "masked_select_sparsetensor_flat": 94, "mass": [132, 134, 157], "master": [26, 32, 138, 148], "match": [19, 25, 128, 156], "mater": 132, "materi": [129, 130, 132, 142, 147, 151, 158], "mathbf": [98, 100], "mathcal": [98, 100], "mathrm": 14, "matmul": 83, "matplotlib": [132, 134, 138, 144, 147, 149, 151, 153, 156], "matric": [39, 49], "matrix": [53, 54, 55, 56, 60, 67, 68, 69, 73, 82, 83, 87, 94], "matt": [131, 139, 142], "matter": [147, 157], "matthia": 32, "max": [5, 11, 17, 98, 134, 147, 149], "max_epoch": [132, 147, 157], "max_force_it": 89, "max_level": 17, "max_n": 107, "max_neigh": [17, 121, 122, 138, 147, 148], "max_neighbor": [9, 31, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 132, 147, 157], "max_neighbors_aeaint": [80, 81, 132, 147, 157], "max_neighbors_aint": [80, 81, 132, 147, 157], "max_neighbors_orig": [80, 81], "max_neighbors_qint": [80, 81, 132, 147, 157], "max_num_el": [36, 38, 39, 49, 51, 52, 101, 103], "max_num_neighbor": [101, 103], "max_num_neighbors_threshold": [17, 94], "max_radiu": [36, 38], "max_split_size_mb": 133, "maxim": 5, "maximum": [36, 38, 39, 44, 49, 51, 52, 53, 54, 55, 59, 60, 64, 65, 67, 68, 72, 73, 77, 78, 80, 81, 86, 87, 92, 93, 97, 98, 101, 103, 105, 121, 122, 147, 148], "maxstep": [13, 141, 147], "mayb": 133, "md": [129, 133, 134, 139, 144, 146, 147, 151, 153, 154, 158], "md5": [129, 130, 131], "mean": [37, 98, 100, 112, 113, 132, 133, 134, 140, 141, 144, 147, 151, 153, 156], "meaning": 147, "meant": 156, "mechan": 147, "medford": [131, 139], "medium": 147, "meet": 147, "mehta": 132, "mellon": 147, "member": 9, "meminit": [138, 147], "memori": [13, 19, 25, 51, 52, 98, 101, 103, 128, 129, 133, 134, 141, 147, 153, 158], "mention": 147, "merchant": [32, 98, 137, 147], "merg": [17, 32, 54, 55, 67, 68, 98, 135, 137, 147, 151], "merge_dict": 17, "messag": [49, 51, 52, 54, 55, 57, 63, 67, 68, 70, 76, 80, 81, 84, 91, 97, 98, 101, 103, 105, 157, 158], "messageblock": [51, 103], "messagepass": 98, "meta": [19, 30, 51], "metadata": [25, 26, 141, 142], "metadata_path": [1, 25, 27], "metademolab": 142, "metal": 129, "metalloid": 129, "meth": 1, "methan": 156, "methane_emb": 156, "methanol": 156, "methanol_emb": 156, "method": [1, 4, 25, 26, 27, 33, 34, 37, 41, 54, 55, 67, 68, 80, 81, 98, 110, 134, 141, 145, 147, 156, 158], "metric": [5, 45, 46, 48, 109, 119, 125, 126, 127, 132, 146, 147, 154, 157], "metric_dict": 5, "metric_to_opt": 5, "mib": 133, "middl": [147, 149], "might": [133, 140, 147, 153, 158], "mileston": 17, "miller": [129, 130, 142, 154], "miller_index": [129, 130], "million": 147, "mimic": 157, "min": [5, 98, 132, 134, 147, 151, 154, 157], "min_": [151, 154], "min_diff": 109, "min_e_ml": 151, "min_e_ml_i": 151, "min_e_ml_x": 151, "min_level": 17, "min_max": 5, "mind": [1, 19, 25, 133, 154], "miniconda": 135, "minim": [5, 147, 157], "minimum": [141, 156], "minor": 129, "minu": [139, 140], "minut": [132, 134, 142], "misc": [132, 133, 147, 157], "mislead": [34, 133], "miss": [9, 25, 26, 131], "mit": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 110, 111, 113, 121, 122, 124, 125, 127, 137, 142, 146, 147], "mitig": 158, "mix": [34, 45, 46, 83, 126, 127, 133, 134, 147], "mjyjzgpq978": 147, "mkdir": [147, 154], "ml": [11, 129, 136, 141, 146, 152, 153], "ml_relax": [0, 6, 10, 30], "ml_trajectori": 147, "mlp": [36, 38, 49, 98, 158], "mmax": [33, 44, 53, 101, 103, 105], "mmax_list": [36, 38, 39, 43, 44, 49, 51, 52, 53], "mmf": 146, "mn": 142, "mn10ge3si3": 142, "mn10nin8": 142, "mn11pd21": 142, "mn12ge4n3": 142, "mn12p3si": 142, "mn12pt4n": 142, "mn12rh4n": 142, "mn12sc2p7": 142, "mn29h2": 142, "mn2a": 142, "mn2asp": 142, "mn2assb": 142, "mn2ge": 142, "mn2ges4": 142, "mn2gese4": 142, "mn2mop12": 142, "mn2n": 142, "mn2na2s3": 142, "mn2na2se3": 142, "mn2nb": 142, "mn2nbp12": 142, "mn2ni4sc3": 142, "mn2ni4zr3": 142, "mn2nin2": 142, "mn2p": 142, "mn2pdpt": 142, "mn2ptrh": 142, "mn2ruge": 142, "mn2run3": 142, "mn2rusi": 142, "mn2s3": 142, "mn2s4si": 142, "mn2sbte": 142, "mn2sc": 142, "mn2se4si": 142, "mn2sete": 142, "mn2sns4": 142, "mn2snse4": 142, "mn2sr5n6": 142, "mn2sr9n8": 142, "mn2sras2": 142, "mn2srge2": 142, "mn2srp2": 142, "mn2ta": 142, "mn2tage": 142, "mn2tati": 142, "mn2ti": 142, "mn2tige": 142, "mn2tip12": 142, "mn2tisi": 142, "mn2tiv": 142, "mn2tiw": 142, "mn2vge": 142, "mn2vn3": 142, "mn2vsi": 142, "mn2wp12": 142, "mn2yge2": 142, "mn2ys4": 142, "mn2ysi2": 142, "mn2zns4": 142, "mn2znse4": 142, "mn2zr": 142, "mn3a": 142, "mn3as2": 142, "mn3cge": 142, "mn3ge": 142, "mn3ge5": 142, "mn3gen": 142, "mn3n2": 142, "mn3n4": 142, "mn3na2cl8": 142, "mn3na2te4": 142, "mn3ni2si": 142, "mn3ni3sn2": 142, "mn3ni4sb": 142, "mn3ni4sn": 142, "mn3nin": 142, "mn3nip2": 142, "mn3nisi": 142, "mn3o": 142, "mn3p": 142, "mn3pd5": 142, "mn3pd5sn2": 142, "mn3pdn": 142, "mn3pt": 142, "mn3ptn": 142, "mn3rb2se4": 142, "mn3rb2te4": 142, "mn3rhn": 142, "mn3sc2si": 142, "mn3sete2": 142, "mn3si": 142, "mn3snc": 142, "mn3snh": 142, "mn3snn": 142, "mn3sr3n5": 142, "mn3sr8n8": 142, "mn3ti2v": 142, "mn3v17si12": 142, "mn3vp4": 142, "mn3w2si": 142, "mn3y2si5": 142, "mn3znc": 142, "mn3znn": 142, "mn3zr": 142, "mn4as3": 142, "mn4asp3": 142, "mn4assb3": 142, "mn4n": 142, "mn4na3te6": 142, "mn4ni5si3": 142, "mn4sete3": 142, "mn4si7": 142, "mn4tizr": 142, "mn4vse5": 142, "mn4zns8": 142, "mn5as4": 142, "mn5c2": 142, "mn5csi": 142, "mn5ge2": 142, "mn5ge3": 142, "mn5gesi2": 142, "mn5si3": 142, "mn5ti4v3": 142, "mn6mo6p7": 142, "mn6scge6": 142, "mn6scsn6": 142, "mn6sn6zr": 142, "mn6yge6": 142, "mn6zrge6": 142, "mn7c3": 142, "mn7ni8sn": 142, "mn7snn2": 142, "mn7ti5": 142, "mn8nb3si": 142, "mn8ta3si": 142, "mn8tizr3": 142, "mn8zr3si": 142, "mna": 142, "mncl2": 142, "mncn2": 142, "mnge": 142, "mnge2": 142, "mngete2": 142, "mnmoas2": 142, "mnmon2": 142, "mnn": 142, "mnna2cl4": 142, "mnna2n2": 142, "mnna6s4": 142, "mnna6se4": 142, "mnnaa": 142, "mnnacl3": 142, "mnnan": 142, "mnnap": 142, "mnnasb": 142, "mnnase2": 142, "mnnb3s6": 142, "mnnb3se6": 142, "mnnb4se8": 142, "mnnbge": 142, "mnnbp": 142, "mnnbru2": 142, "mnnbsi": 142, "mnni": 142, "mnni2g": 142, "mnni2sb": 142, "mnni2si": 142, "mnni2sn": 142, "mnni2zn": 142, "mnni3": 142, "mnnia": 142, "mnnige": 142, "mnnin2": 142, "mnnip": 142, "mnnip2": 142, "mnnisb": 142, "mnnisb2": 142, "mnnisi": 142, "mnnisi2": 142, "mnnite2": 142, "mnniti2": 142, "mnnizr": 142, "mnos3": 142, "mnosta2": 142, "mnosti2": 142, "mnosv2": 142, "mnp": 142, "mnp2": 142, "mnp4": 142, "mnpbrh2": 142, "mnpd": 142, "mnpd2": 142, "mnpd2a": 142, "mnpd2ge": 142, "mnpd2sb": 142, "mnpd2sn": 142, "mnpd2zn": 142, "mnpd3": 142, "mnpd3ge2": 142, "mnpd3si2": 142, "mnpda": 142, "mnpdge": 142, "mnpdte": 142, "mnps3": 142, "mnpse3": 142, "mnpt": 142, "mnpt2zn": 142, "mnpt3": 142, "mnptsb": 142, "mnptsn": 142, "mnrb2cl4": 142, "mnrb2s2": 142, "mnrb2se2": 142, "mnrb3h5": 142, "mnrba": 142, "mnrbp": 142, "mnrbse2": 142, "mnrbte2": 142, "mnren2": 142, "mnreta2": 142, "mnreti2": 142, "mnrh": 142, "mnrh2ge": 142, "mnrh2sb": 142, "mnrh2sc": 142, "mnrh2si": 142, "mnrh2sn": 142, "mnrh2ti": 142, "mnrh2tl": 142, "mnrh2zn": 142, "mnrh2zr": 142, "mnrha": 142, "mnrhge": 142, "mnrhn2": 142, "mnrhsb": 142, "mnrhsi": 142, "mnrhti2": 142, "mnru2g": 142, "mnru2sb": 142, "mnru2si": 142, "mnru2sn": 142, "mnru2ta": 142, "mnru2v": 142, "mnru3": 142, "mnrua": 142, "mnruti2": 142, "mnruv2": 142, "mns2": 142, "mns4sb2": 142, "mnsb": 142, "mnsb2se4": 142, "mnsc2s4": 142, "mnsc2se4": 142, "mnsc6te2": 142, "mnscge": 142, "mnscsi": 142, "mnse": 142, "mnse2": 142, "mnsi": 142, "mnsn3ti5": 142, "mnsr3n3": 142, "mnsr4n4": 142, "mnsrn2": 142, "mnsrsb2": 142, "mnta2v3": 142, "mntage": 142, "mntap": 142, "mntasi": 142, "mntc2sb": 142, "mntc2si": 142, "mntcti2": 142, "mnte": 142, "mnte2": 142, "mnti4s8": 142, "mnti5s10": 142, "mnti5sb2": 142, "mntia": 142, "mntige2": 142, "mntin2": 142, "mntip": 142, "mntisi2": 142, "mntisi4": 142, "mntlcl3": 142, "mnv": 142, "mnv2si6": 142, "mnv3": 142, "mnva": 142, "mnvas2": 142, "mnvp2": 142, "mnwn2": 142, "mny2s4": 142, "mny4s7": 142, "mnyge": 142, "mnysi": 142, "mnzn13": 142, "mnzn2n3": 142, "mnzn3": 142, "mnzn3s4": 142, "mnzn4s5": 142, "mnzn4se5": 142, "mnznn2": 142, "mnzns2": 142, "mnzns4": 142, "mnznse2": 142, "mnznte2": 142, "mnznte4": 142, "mnzrn2": 142, "mnzrp": 142, "mnzrsi": 142, "mnzrsi2": 142, "mo": 142, "mo10psi5": 142, "mo2as3": 142, "mo2as3p": 142, "mo2asp3": 142, "mo2c": 142, "mo2n": 142, "mo2ni3si": 142, "mo2ni6p3": 142, "mo2rb3cl9": 142, "mo2rete4": 142, "mo2rh": 142, "mo2ruse4": 142, "mo2rute4": 142, "mo2s2sb": 142, "mo2s3": 142, "mo2s3s": 142, "mo2s3t": 142, "mo2se3t": 142, "mo2sete3": 142, "mo2sr5n7": 142, "mo2sse3": 142, "mo2ste3": 142, "mo2ti": 142, "mo2ti3si3": 142, "mo2tis4": 142, "mo2tisi6": 142, "mo2tiw": 142, "mo2vs4": 142, "mo2ws6": 142, "mo2wse6": 142, "mo2wte6": 142, "mo2zr": 142, "mo3g": 142, "mo3nase3": 142, "mo3nase4": 142, "mo3nate3": 142, "mo3ni2n": 142, "mo3nis4": 142, "mo3p": 142, "mo3pd": [142, 151], "mo3pd2n": 142, "mo3pt": 142, "mo3pt2n": 142, "mo3rbcl7": 142, "mo3rbs3": 142, "mo3rbse3": 142, "mo3rbte3": 142, "mo3ru": [142, 151], "mo3s2se2": 142, "mo3s2se4": 142, "mo3s2te4": 142, "mo3s4": 142, "mo3s4se2": 142, "mo3s4te2": 142, "mo3sb7": 142, "mo3sc2ge4": 142, "mo3sc2si4": 142, "mo3se2te4": 142, "mo3se4": 142, "mo3se4te2": 142, "mo3si": 142, "mo3ta3n4": 142, "mo3te4": 142, "mo3ti": 142, "mo3tlse3": 142, "mo3v3si2": 142, "mo3w2si3": 142, "mo3ws8": 142, "mo3wse8": 142, "mo3wte8": 142, "mo3y2si4": 142, "mo3zr2si": 142, "mo4nin5": 142, "mo4nizr9": 142, "mo4tas10": 142, "mo4tizr": 142, "mo4vsi3": 142, "mo5as4": 142, "mo5cge3": 142, "mo5ge3": 142, "mo5nb5si6": 142, "mo5re24": 142, "mo5si3": 142, "mo6nase8": 142, "mo6nise8": 142, "mo6nite8": 142, "mo6pbs8": 142, "mo6pbse8": 142, "mo6rbse7": 142, "mo6sns8": 142, "mo6snse8": 142, "mo6srs8": 142, "mo6tls8": 142, "mo6tlse8": 142, "mo6ys8": 142, "mo6yse8": 142, "mo8p5": 142, "mo9ni7p6": 142, "mo9nisi6": 142, "mo9rb2se10": 142, "mo9ru3sb28": 142, "mo9se11": 142, "mo9w3ge4": 142, "moa": 142, "moas2": 142, "moasg": 142, "moc": 142, "mocl12se2": 142, "mocl3": 142, "mocl3n": 142, "mocl4": 142, "mocl5": 142, "mocl6": 142, "mocl9p": 142, "mode": [1, 4, 31, 32, 33, 34, 37, 40, 44, 45, 46, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 126, 127, 132, 134, 140, 141, 147, 151, 154, 157], "model": [0, 7, 8, 9, 11, 13, 17, 19, 25, 30, 110, 112, 116, 117, 125, 126, 127, 128, 129, 130, 134, 148, 149, 150, 151, 153, 154, 156, 157], "model_attribut": [132, 134, 147, 157], "model_nam": [9, 95, 96], "model_name_to_local_fil": [95, 96, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157, 158], "model_param": 147, "model_registri": [0, 30, 95, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157, 158], "modelcheckpoint": [132, 133, 134, 144, 147, 151, 153, 154], "modif": 129, "modifi": [17, 26, 32, 98, 129, 137, 145, 147, 156], "modul": [0, 30, 133, 140, 147, 153, 156], "module_list": [0, 30, 38, 95], "modulelist": 41, "modulelistinfo": 41, "mof": [131, 146], "moge2": 142, "molecul": [100, 138, 147, 148, 149, 156], "molecular": [97, 98, 121, 122, 129, 147, 158], "moment": 132, "momenta": 151, "momenttum": 17, "momentum": 17, "mon": 142, "mona3cl6": 142, "mona3n3": 142, "mona6n4": 142, "monb": 142, "monb2o": 142, "monb2ru": 142, "monb3se8": 142, "monbni6": 142, "monbs3": 142, "monbs4": 142, "monbse3": 142, "monbse4": 142, "monbsi4": 142, "monbta": 142, "monbw": 142, "moni2": 142, "moni3": 142, "moni4": 142, "moni6ta": 142, "monip": 142, "monip2": 142, "moniti2": 142, "monitor": [7, 141], "monkeypatch": 156, "monoton": 147, "month": 147, "moosti2": 142, "moosv2": 142, "mop": 142, "mop2": 142, "mopd": 142, "mopd2": 142, "mopd2rh": 142, "mopd3": [142, 151], "mopd4": 142, "mopdti2": 142, "mopt": 142, "mopt2": 142, "mopt2si3": 142, "mopt3": 142, "mopt3si4": 142, "moptti2": 142, "more": [1, 4, 19, 25, 34, 128, 129, 132, 133, 138, 140, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156], "more2se4": 142, "more2ti": 142, "moreov": 140, "moreta2": 142, "morev2": 142, "morgan": [129, 139, 146, 147], "morh": 142, "morh3": 142, "morhp": 142, "moru3": [142, 151], "morup": 142, "moruta2": 142, "moruv2": 142, "mos2": 142, "mosb2s": 142, "mosctc2": 142, "mose2": 142, "moset": 142, "mosi2": 142, "moss": 142, "mossb2": 142, "most": [17, 19, 25, 26, 94, 98, 128, 132, 133, 134, 142, 147, 151, 153, 157, 158], "mostli": [25, 26], "mota": 142, "mota2s6": 142, "mota2tc": 142, "mota2w": 142, "mota4s10": 142, "mota4s8": 142, "mota4se10": 142, "motan": 142, "motas4": 142, "motasi4": 142, "motaw": 142, "motc2ti": 142, "mote2": 142, "moti": 142, "moti2si6": 142, "moti3as4": 142, "motias2": 142, "motip2": 142, "motis3": 142, "motisb4": 142, "motiv": [24, 147], "motl2cl6": 142, "mov": 142, "mov2s4": 142, "mov2w": 142, "mov3": 142, "movas2": 142, "move": [110, 133, 147, 149], "move_mask": [147, 149], "moviewrit": 149, "movsi4": 142, "movzr": 142, "mow2s6": 142, "mow2se6": 142, "mow2te6": 142, "mow3s8": 142, "mow3se8": 142, "mow3te8": 142, "mows4": 142, "mowse4": 142, "mowsi4": 142, "mowte4": 142, "mowzr": 142, "moyn3": 142, "mozn2n3": 142, "mozn3n4": 142, "mozn6": 142, "mozn7": 142, "mozrg": 142, "mozrp": 142, "mozrsi": 142, "mp": [129, 130, 142, 151, 154], "mse": [109, 147], "msg": 16, "mshuaibi": 147, "mu": 100, "much": [134, 147, 151], "muham": [129, 130, 139, 142, 146, 147], "mul": 98, "multi": [33, 34, 37, 129, 141], "multiarrai": 147, "multipl": [19, 25, 66, 79, 94, 98, 128, 133, 138, 140, 141, 147, 154], "multipli": [17, 40, 43, 48, 87, 147], "multistep": 48, "multistep_lr_lambda": 48, "multisteplrlambda": 48, "must": [4, 9, 19, 25, 27, 28, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 128, 132, 138, 140, 141, 147, 148, 149, 156], "mustb": 147, "mv": 134, "mvc": 142, "my": 141, "mymodul": 41, "mypi": 142, "m\u00fcller": [64, 77, 92], "n": [25, 26, 33, 40, 56, 59, 69, 72, 82, 86, 94, 98, 100, 107, 129, 132, 135, 142, 147, 149, 151, 153], "n2": [129, 142, 147, 149, 153], "n2s3sb4": 142, "n3psi": 142, "n4si3": 142, "n5p3": 142, "nO": 153, "n_distanc": [121, 122], "n_index": [121, 122], "n_job": 156, "n_max": 154, "n_sampl": 117, "na": 142, "na10sn12sr": 142, "na15pb4": 142, "na15sn4": 142, "na2": 142, "na2assb": 142, "na2aste2": 142, "na2cn2": 142, "na2cs3": 142, "na2ge2s5": 142, "na2ge2se5": 142, "na2ges3": 142, "na2gese3": 142, "na2pdcl4": 142, "na2pdh2": 142, "na2pdh4": 142, "na2pds2": 142, "na2pdse2": 142, "na2ps3": 142, "na2pse3": 142, "na2ptc2": 142, "na2pth4": 142, "na2pth6": 142, "na2pts2": 142, "na2ptse2": 142, "na2rbsb": 142, "na2re3s6": 142, "na2re3se6": 142, "na2s": 142, "na2s3t": 142, "na2s5": 142, "na2s5si2": 142, "na2se3t": 142, "na2se5si2": 142, "na2sn4sr": 142, "na2snse3": 142, "na2sr3as4": 142, "na2t": 142, "na2ta3s6": 142, "na2ta3se6": 142, "na2ti3cl8": 142, "na2tl": 142, "na2tlsb": 142, "na2zn2s3": 142, "na2zn2se3": 142, "na2zn3s4": 142, "na2zn3se4": 142, "na2zncl4": 142, "na2zng": 142, "na2zns2": 142, "na2znse2": 142, "na2zrn2": 142, "na2zrs3": 142, "na2zrse3": 142, "na3a": 142, "na3ass3": 142, "na3asse3": 142, "na3g": 142, "na3gese3": 142, "na3gete3": 142, "na3osh7": 142, "na3osn2": 142, "na3p11": 142, "na3pd": 142, "na3ps4": 142, "na3pse4": 142, "na3pt": 142, "na3pt4ge4": 142, "na3rbh4": 142, "na3rhh6": 142, "na3ruh7": 142, "na3s4sb": 142, "na3sb": 142, "na3sbse3": 142, "na3sbse4": 142, "na3sccl6": 142, "na3se4si": 142, "na3site3": 142, "na3sn": 142, "na3ticl6": 142, "na3tl": 142, "na3v5se10": 142, "na3v6n11": 142, "na3wn3": 142, "na3ycl6": 142, "na4ge2se5": 142, "na4ge2te5": 142, "na4ren3": 142, "na4ruh6": 142, "na4se4si": 142, "na4set": 142, "na4sn3s8": 142, "na4sns4": 142, "na4snse4": 142, "na4snte4": 142, "na4ss": 142, "na4zn3s5": 142, "na4zn3se5": 142, "na4znse3": 142, "na5as3g": 142, "na5as3si": 142, "na5as4": 142, "na5gep3": 142, "na5osn4": 142, "na5p3si": 142, "na5sn2": 142, "na5snas3": 142, "na5snp3": 142, "na6ge2s7": 142, "na6ge2se7": 142, "na6ren4": 142, "na6se7si2": 142, "na6sn2s7": 142, "na6sn2se7": 142, "na6sn2zn": 142, "na6tlsb4": 142, "na6wn4": 142, "na6wp4": 142, "na6zns4": 142, "na6znse4": 142, "na8snsb4": 142, "na8tias4": 142, "na9sn4": 142, "naa": 142, "naas6ge6": 142, "naass2": 142, "naasse2": 142, "nacl": 142, "nacl3": 142, "nacl6sb": 142, "nacl7": 142, "nad": 130, "nage": 142, "nage2n3": 142, "nagen": 142, "nah": 142, "nah2n": 142, "name": [8, 9, 15, 17, 18, 19, 25, 27, 28, 34, 45, 46, 54, 55, 57, 58, 63, 64, 65, 67, 68, 70, 71, 76, 77, 78, 80, 81, 82, 84, 85, 91, 92, 93, 95, 96, 98, 114, 116, 117, 125, 126, 127, 129, 132, 133, 135, 142, 157, 158], "namespac": [17, 157], "nan": [20, 21, 80, 81, 89], "nan2p": 142, "nan3": 142, "nan3si2": 142, "nan7p4": 142, "nanb2s4": 142, "nanb2se4": 142, "nanb6s8": 142, "nanb6te8": 142, "nanbcl6": 142, "nanbn2": 142, "nanbs2": 142, "nanbs6": 142, "nanbse2": 142, "nanin": 142, "nanoparticl": 156, "nap": 142, "nap15": 142, "nap5": 142, "napb": 142, "napb3": 142, "napbpd2": 142, "napbtl2": 142, "napd2sn": 142, "napd2tl": 142, "napd3": 142, "napd3ge2": 142, "napd3h2": 142, "napd3si2": 142, "napd3sn2": 142, "napdtl2": 142, "naps3": 142, "napt": 142, "napt2": 142, "napt2se3": 142, "narb": 142, "narb3h4": 142, "narun": 142, "nas2": 142, "nas2sb": 142, "nasb": 142, "nasbse2": 142, "nasbte2": 142, "nasccl4": 142, "nase": 142, "nase2": 142, "nasi": 142, "nasn": 142, "nasn2": 142, "nasn2as2": 142, "nasn2cl5": 142, "nasn3": 142, "nasn5": 142, "nasnn": 142, "nasnp": 142, "nasns2": 142, "nasnsb": 142, "nasntl2": 142, "nasr2tl": 142, "nasr4as4": 142, "nasra": 142, "nasrp": 142, "nata3n5": 142, "natan2": 142, "nate": 142, "nati5se8": 142, "nation": 147, "natis2": 142, "natise4": 142, "natl": 142, "natl2sb": 142, "natl3": 142, "natom": [17, 57, 61, 66, 70, 74, 76, 79, 80, 81, 84, 88, 94, 112, 132, 134, 138, 147, 148, 157], "nav2s4": 142, "nav2se4": 142, "nav6s8": 142, "navn2": 142, "navs2": 142, "navse2": 142, "naycl4": 142, "nays2": 142, "nayse2": 142, "nazn4as3": 142, "nazna": 142, "naznn": 142, "naznp": 142, "naznsb": 142, "nb": 142, "nb10c7": 142, "nb10sn3ge3": 142, "nb12pbse16": 142, "nb12sn3sb": 142, "nb12tlte16": 142, "nb12znse16": 142, "nb16n13": 142, "nb16n9": 142, "nb21s8": 142, "nb2asc": 142, "nb2c": 142, "nb2cge": 142, "nb2cs2": 142, "nb2gete4": 142, "nb2n": 142, "nb2n3": 142, "nb2ni3g": 142, "nb2ni3si": 142, "nb2ni5te6": 142, "nb2ostc": 142, "nb2pd": 142, "nb2pd3se8": 142, "nb2pd9zr": 142, "nb2pds5": 142, "nb2pds6": 142, "nb2reru": 142, "nb2rutc": 142, "nb2ruw": 142, "nb2se": 142, "nb2se3": 142, "nb2se9": 142, "nb2site4": 142, "nb2snc": 142, "nb2tc": 142, "nb2te3": 142, "nb2tise4": 142, "nb2tl4s11": 142, "nb2tl4se11": 142, "nb2vse4": 142, "nb2znn4": 142, "nb3a": 142, "nb3aste3": 142, "nb3ge": 142, "nb3ges6": 142, "nb3n5": 142, "nb3ni12ti": 142, "nb3o": 142, "nb3os2": 142, "nb3p": 142, "nb3pbs6": 142, "nb3pd": 142, "nb3pt": 142, "nb3rh": 142, "nb3rhse6": 142, "nb3ru": 142, "nb3s4": 142, "nb3s5": 142, "nb3sb": 142, "nb3sc2ge3": 142, "nb3sc2ge4": 142, "nb3sc2si3": 142, "nb3se4": 142, "nb3si": 142, "nb3si2": 142, "nb3sn": 142, "nb3sn2ti3": 142, "nb3snh": 142, "nb3snh2": 142, "nb3sns6": 142, "nb3te": 142, "nb3te4": 142, "nb3tis6": 142, "nb3v3ge2": 142, "nb3vs6": 142, "nb3vse6": 142, "nb3ws8": 142, "nb3wse8": 142, "nb4as3": 142, "nb4gese8": 142, "nb4h3s8": 142, "nb4n3": 142, "nb4n5": 142, "nb4ni4si7": 142, "nb4nis8": 142, "nb4nisi": 142, "nb4pd": 142, "nb4rh": 142, "nb4tis8": 142, "nb4v2si5": 142, "nb5ge3": 142, "nb5ge4": 142, "nb5n6": 142, "nb5ni4p4": 142, "nb5pbse8": 142, "nb5pd4as4": 142, "nb5pd4p4": 142, "nb5psi3": 142, "nb5s2se2": 142, "nb5sb4": 142, "nb5se4": 142, "nb5si3": 142, "nb5sn2si": 142, "nb5snse8": 142, "nb5srse8": 142, "nb5ta5si6": 142, "nb5te4": 142, "nb5ti5ge6": 142, "nb5w5si6": 142, "nb6c5": 142, "nb6gesi": 142, "nb6ni16ge7": 142, "nb6ni7": 142, "nb6pdpt": 142, "nb6pdrh": 142, "nb6ptge": 142, "nb6rhru": 142, "nb6snge": 142, "nb6sns8": 142, "nb6snsi": 142, "nb6snte8": 142, "nb6tls8": 142, "nb6tlse8": 142, "nb6tlte8": 142, "nb6zn7": 142, "nb6zns8": 142, "nb6znte8": 142, "nb7as4": 142, "nb7p4": 142, "nb7s8": 142, "nba": 142, "nband": 132, "nbas2": 142, "nbasg": 142, "nbassi": 142, "nbc": 142, "nbcl10p": 142, "nbcl2se2": 142, "nbcl3se": 142, "nbcl4": 142, "nbcl5": 142, "nbcl9te": 142, "nbge2": 142, "nbgesb": 142, "nbgesi": 142, "nbh": 142, "nbh2": 142, "nbn": 142, "nbni2": 142, "nbni2sn": 142, "nbni3": 142, "nbni3p2": 142, "nbnia": 142, "nbnias2": 142, "nbnige": 142, "nbnip": 142, "nbnip2": 142, "nbnisi": 142, "nbnite2": 142, "nbniv": 142, "nbos2sc": 142, "nbos3": 142, "nbosta2": 142, "nbp": 142, "nbp2": 142, "nbpbs2": 142, "nbpd2": 142, "nbpd3": 142, "nbpdsi": 142, "nbpse": 142, "nbpt": 142, "nbpt2": 142, "nbpt3": 142, "nbptge": 142, "nbptsi": 142, "nbrb2cl6": 142, "nbrb7as4": 142, "nbre": 142, "nbre2ta": 142, "nbre2ti": 142, "nbresi": 142, "nbrev": 142, "nbrh": 142, "nbrh2zn": 142, "nbrh3": 142, "nbrhge": 142, "nbrhp": 142, "nbrhsb": 142, "nbrhsi": 142, "nbrhta2": 142, "nbru": 142, "nbru2g": 142, "nbru2i": 142, "nbru2si": 142, "nbru2sn": 142, "nbru2ti": 142, "nbru2zn": 142, "nbru3": 142, "nbrup": 142, "nbrusb": 142, "nbruta2": 142, "nbs2": 142, "nbs3": 142, "nbsb2": 142, "nbsctc2": 142, "nbse2": 142, "nbse3": 142, "nbse4": 142, "nbsi2": 142, "nbsn2": 142, "nbsns2": 142, "nbsnsb": 142, "nbsntc2": 142, "nbsr2n3": 142, "nbsse": 142, "nbtatc2": 142, "nbtate4": 142, "nbtaw": 142, "nbtc": 142, "nbtc2si": 142, "nbtc2ti": 142, "nbtc2zr": 142, "nbte2": 142, "nbte4": 142, "nbtin2": 142, "nbtis4": 142, "nbtl3se4": 142, "nbvh4": 142, "nbvp": 142, "nbvsi4": 142, "nbw": 142, "nbw3s8": 142, "nbwse4": 142, "nbzn16": 142, "nbzn2": 142, "nbzn2n3": 142, "nbzn3": 142, "nbzn8zr3": 142, "nbzrn2": 142, "nbzrp": 142, "nccl": 157, "ncol": 132, "ncoordin": 132, "ndarrai": [1, 107, 156], "ndownload": 134, "nearest": [80, 81, 121, 122, 148], "necessari": [128, 130, 132, 134, 135, 138, 140, 141, 147, 149, 151, 154], "necessarili": [98, 134], "nedg": [57, 60, 61, 63, 66, 70, 73, 74, 76, 79, 84, 88, 91, 94], "need": [4, 8, 9, 17, 19, 25, 45, 46, 126, 127, 128, 132, 134, 138, 141, 147, 151, 153, 154, 156, 157, 158], "needs_input_grad": 4, "neg": [54, 55, 67, 68, 80, 81, 147, 149, 151], "negative_slop": 33, "neigbhor": 148, "neigh": 147, "neighbor": [1, 17, 36, 38, 51, 52, 54, 55, 60, 66, 67, 68, 73, 79, 80, 81, 87, 94, 97, 98, 101, 103, 121, 122, 133, 138, 141, 147, 148], "neighor": 147, "nenergi": 132, "nergi": 147, "nersc": 147, "nest": [17, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 141, 156], "nesteddict": 8, "net": 133, "network": [31, 32, 33, 34, 36, 37, 38, 40, 44, 49, 51, 52, 56, 58, 69, 71, 82, 85, 92, 98, 100, 101, 103, 104, 106, 107, 112, 116, 117, 134, 147, 156, 158], "neural": [31, 32, 33, 34, 37, 40, 44, 56, 58, 69, 71, 82, 85, 92, 98, 100, 103, 104, 106, 107, 112, 116, 117, 134, 147, 156, 158], "neural_energi": 134, "neurip": [147, 150], "never": 134, "new": [8, 17, 18, 80, 81, 117, 129, 132, 133, 134, 135, 136, 143, 144, 147, 150, 151, 153, 154, 158], "new_kei": 18, "new_trainer_context": [17, 157], "newcalc": 132, "newckpt": 132, "newer": [132, 134, 142], "newli": 141, "next": [25, 26, 132, 135, 141, 150, 151, 156, 157, 158], "nextid": 26, "nfeatur": [61, 74], "nforc": 132, "nh": [129, 142, 151], "nh2": [129, 142], "nh2n": [129, 142], "nh2nh2": 142, "nh3": [129, 142], "nhidden": [57, 70, 84], "nhidden_afteratom": 84, "nhnh": [129, 142], "ni": 142, "ni10sn5p3": 142, "ni10srp6": 142, "ni11as8": 142, "ni11ge2se4": 142, "ni11ge2te4": 142, "ni11zr9": 142, "ni12p5": 142, "ni12sc2p7": 142, "ni12y2as7": 142, "ni12y2p7": 142, "ni12zr2p7": 142, "ni15yzr2": 142, "ni16gep5": 142, "ni17ge4se4": 142, "ni19ge12": 142, "ni19se20": 142, "ni2assi": 142, "ni2g": 142, "ni2gep": 142, "ni2h": 142, "ni2i": 142, "ni2p": 142, "ni2pdp": 142, "ni2pdse2": 142, "ni2psi": 142, "ni2re5as12": 142, "ni2rhs4": 142, "ni2sc2sn": 142, "ni2sc3si3": 142, "ni2sc3si4": 142, "ni2scsi2": 142, "ni2scsn": 142, "ni2sczn": 142, "ni2si": 142, "ni2snp": 142, "ni2snti": 142, "ni2sny2": 142, "ni2snzr": 142, "ni2snzr2": 142, "ni2sras2": 142, "ni2srg": 142, "ni2srge2": 142, "ni2srsb2": 142, "ni2ta": 142, "ni2tate3": 142, "ni2tisb": 142, "ni2tizn": 142, "ni2tls2": 142, "ni2v": 142, "ni2v3": 142, "ni2v3si": 142, "ni2w3n": 142, "ni2y3si2": 142, "ni2yge2": 142, "ni2yp2": 142, "ni2zn11": 142, "ni2zng": 142, "ni2znsi": 142, "ni2znzr": 142, "ni2zr": 142, "ni2zr9p4": 142, "ni2zrp2": 142, "ni2zrsb": 142, "ni2zrsi2": 142, "ni3a": 142, "ni3g": 142, "ni3i": 142, "ni3p": 142, "ni3pb2s2": 142, "ni3pb2se2": 142, "ni3pt": 142, "ni3rb2s4": 142, "ni3rb2se4": 142, "ni3s2": 142, "ni3s4": 142, "ni3sb": 142, "ni3sb2te2": 142, "ni3sc": 142, "ni3se2": 142, "ni3se4": 142, "ni3si": 142, "ni3si2": 142, "ni3sn": 142, "ni3sn2": 142, "ni3sn2s2": 142, "ni3snn": 142, "ni3sr8n8": 142, "ni3srge2": 142, "ni3ta": 142, "ni3ta2g": 142, "ni3ta2s8": 142, "ni3ta2si": 142, "ni3te2": 142, "ni3te4": 142, "ni3ti": 142, "ni3tl2s2": 142, "ni3v": 142, "ni3vzr2": 142, "ni3w2si": 142, "ni3zn": 142, "ni3znc": 142, "ni3znn": 142, "ni3znsi2": 142, "ni3zr": 142, "ni3zr2si": 142, "ni3zr3sb4": 142, "ni3zr4as8": 142, "ni4as3s5": 142, "ni4as9ge3": 142, "ni4ru": 142, "ni4sc3ge4": 142, "ni4scas2": 142, "ni4scsn": 142, "ni4sn2sr": 142, "ni4sn3sb9": 142, "ni4snzr": 142, "ni4ta5p4": 142, "ni4ti3": 142, "ni4ti4si7": 142, "ni4v2zr3": 142, "ni4w": 142, "ni4yas2": 142, "ni4yp2": 142, "ni4ysi": 142, "ni4zn": 142, "ni4zrp2": 142, "ni5ge3": 142, "ni5i": 142, "ni5sc": 142, "ni5sc9ge8": 142, "ni5zr": 142, "ni6ge2p": 142, "ni6gesi": 142, "ni6sbte2": 142, "ni6snsb": 142, "ni6snse2": 142, "ni6snte2": 142, "ni6tati": 142, "ni7ge4": 142, "ni7y2": 142, "ni7zn6ge2": 142, "ni9s10": 142, "ni9s8": 142, "ni9sn2s2": 142, "ni9ti2zr": 142, "ni9znge2": 142, "nia": 142, "nias2": 142, "niass": 142, "nicl2": 142, "nieghbor": [36, 38, 51, 52, 101, 103], "nif": 132, "nige": 142, "nige2": 142, "nih": 142, "nii": 142, "nima": [130, 139], "niossc2": 142, "nip": 142, "nip2": 142, "nip2s6": 142, "nip3": 142, "nip3si2": 142, "nip4": 142, "nip4si3": 142, "nipd": 142, "nipd2te2": 142, "nipd3": 142, "nipda": 142, "nipdg": 142, "nipdp": 142, "nipdsc2": 142, "nipdsi": 142, "nipdsi2": 142, "nipdt": 142, "nipdti2": 142, "nipse3": 142, "nipt": 142, "nipt2g": 142, "nipt3": 142, "niptsc2": 142, "nirbcl3": 142, "nire3": 142, "nireti2": 142, "nirh2s4": 142, "nirh2se4": 142, "nirh2sn": 142, "nirh3as2": 142, "nirha": 142, "nirhp": 142, "nirhsc2": 142, "nirhzn2": 142, "niru": 142, "niru3y2": 142, "nirusb6": 142, "nirusc2": 142, "niruy2": 142, "nis2": 142, "nisb3": 142, "nisbs": 142, "nisc": 142, "nisc2tc": 142, "nisc6te2": 142, "niscg": 142, "niscp": 142, "niscsb": 142, "niscsi": 142, "niscsi3": 142, "niscsn": 142, "nise": 142, "nise2": 142, "niset": 142, "nisi": 142, "nisi2": 142, "nisn": 142, "nisn2zr6": 142, "nisn3sr": 142, "nisn3ti5": 142, "nisni": 142, "nisnti": 142, "nisnzr": 142, "nisr2n2": 142, "nisr2si3": 142, "nisrge2": 142, "nisrsi3": 142, "niss": 142, "nissb": 142, "nita2": 142, "nita2s4": 142, "nita4s8": 142, "nitaa": 142, "nitag": 142, "nitap": 142, "nitap2": 142, "nitasi": 142, "nitate2": 142, "nitav": 142, "nitc3": 142, "nitcti2": 142, "nitczr2": 142, "nite": 142, "nite2": 142, "niti": 142, "niti2": 142, "niti2h": 142, "niti2s4": 142, "niti2se4": 142, "niti3s6": 142, "niti4s8": 142, "nitia": 142, "nitial": 147, "nitig": 142, "nitisb": 142, "nitisi": 142, "nitlcl3": 142, "nitrogen": [151, 153], "niv2s4": 142, "niv2se4": 142, "niv3": 142, "niv3s6": 142, "niv4s8": 142, "niva": 142, "nivg": 142, "nivsi": 142, "nivzr": 142, "niw2p3": 142, "niwp": 142, "niwp2": 142, "niwp8": 142, "niy3": 142, "niy3ge2": 142, "niy3si3": 142, "niya": 142, "niyg": 142, "niyge2": 142, "niyp": 142, "niysb": 142, "niysi": 142, "niysi2": 142, "nizn": 142, "nizn3": 142, "niznsb": 142, "nizr": 142, "nizr2": 142, "nizr2as2": 142, "nizr2p": 142, "nizr2p2": 142, "nizr2s4": 142, "nizr4p": 142, "nizr5sb9": 142, "nizr6cl15": 142, "nizr6sb2": 142, "nizra": 142, "nizrg": 142, "nizrh": 142, "nizrh3": 142, "nizrp2": 142, "nizrsb": 142, "nlayer": [58, 71, 85, 153], "nmagnet": 132, "nn": [17, 31, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 49, 51, 53, 57, 58, 60, 61, 63, 64, 65, 70, 71, 73, 74, 76, 77, 78, 84, 85, 87, 88, 91, 92, 93, 98, 100, 101, 103, 104, 106, 107, 110, 112, 114, 116, 117, 118, 133, 147], "nnch3": 142, "nnh": 151, "no2": [129, 142], "no2no2": [129, 142], "no3": [129, 142], "no_ddp": 157, "no_warn": 8, "no_weight_decai": [31, 36, 38], "noddp": [45, 46, 125, 126, 127, 132, 147, 157], "node": [14, 36, 38, 39, 49, 76, 98, 140, 141, 147, 148, 158], "node_atom": 37, "node_dim": 98, "node_input": 40, "noisi": 147, "nomenclatur": 129, "non": [4, 19, 25, 27, 49, 51, 101, 103, 129, 140, 146, 147, 154], "none": [1, 2, 3, 4, 5, 7, 8, 9, 11, 13, 14, 16, 17, 19, 25, 26, 27, 28, 31, 32, 34, 36, 37, 38, 41, 43, 44, 45, 46, 48, 51, 52, 53, 54, 55, 57, 58, 60, 61, 63, 64, 66, 67, 68, 70, 71, 73, 74, 76, 77, 79, 80, 81, 84, 85, 86, 87, 88, 89, 91, 92, 97, 98, 100, 105, 107, 109, 110, 112, 113, 114, 115, 116, 117, 118, 119, 121, 122, 123, 124, 125, 126, 127, 132, 133, 138, 147, 148, 153, 157], "none_throw": 16, "nonetyp": 157, "nonh": [129, 142], "noninfring": [32, 98, 137, 147], "nonlinear": [56, 69, 82], "nonloc": [64, 77, 92], "nonzero": 19, "norm": [94, 113], "norm_typ": [36, 38, 40, 49], "normal": [0, 15, 30, 36, 38, 40, 42, 44, 49, 59, 66, 72, 79, 80, 81, 86, 94, 111, 132, 134, 140, 142, 153], "normalize_label": [141, 147], "normed_tensor": 113, "notabl": [132, 158], "notat": 15, "note": [19, 25, 48, 119, 129, 134, 135, 140, 141, 147, 148, 149, 151, 154, 156], "notebook": [132, 134, 138, 142, 146, 148, 149, 150, 157, 158], "notebook_tqdm": [142, 156], "noth": [59, 72, 86, 147], "notic": [26, 32, 98, 137, 147, 153], "now": [17, 25, 27, 28, 129, 132, 134, 135, 143, 151, 156, 157], "np": [9, 121, 122, 132, 133, 134, 147, 149, 151, 154, 156], "npj": 142, "nproc_per_nod": 141, "npz": [134, 141, 147], "nquadruplet": 83, "nrr": [145, 151, 153], "nrr_exampl": 145, "nrr_example_bulk": 151, "ns2": 142, "ns7": 142, "nstress": 132, "nsw": 132, "nthe": 132, "ntriplet": 83, "nueral": 147, "null": [119, 147], "num": [48, 129, 141], "num_after_skip": [32, 54, 55, 63, 67, 68, 76, 80, 81, 91, 132, 147, 157], "num_atom": [17, 31, 32, 36, 38, 51, 52, 54, 55, 63, 67, 68, 76, 80, 81, 83, 87, 88, 91, 94, 97, 98, 99, 100, 101, 103, 132, 133, 147, 157], "num_atom_emb_lay": [80, 81, 91, 132, 147, 157], "num_band": [101, 103, 105], "num_basi": 37, "num_basis_funct": [101, 103], "num_batch": 115, "num_before_skip": [32, 54, 55, 63, 67, 68, 76, 80, 81, 91, 132, 147, 157], "num_block": [32, 54, 55, 67, 68, 80, 81, 132, 147, 157], "num_channel": [33, 40, 44, 51, 53, 105], "num_concat": [54, 55, 63, 67, 68, 76, 80, 81, 91, 132, 147, 157], "num_distance_basi": [36, 38], "num_edg": [83, 87, 88, 147], "num_el": [54, 55, 61, 80, 81, 88, 97, 98], "num_filt": 100, "num_freq": 107, "num_gaussian": [17, 92, 100, 103, 104, 133, 147], "num_global_out_lay": [80, 81, 132, 147, 157], "num_gpu": 157, "num_head": [36, 38, 49], "num_in_featur": [71, 107], "num_interact": [100, 101, 103], "num_lay": [32, 36, 38, 51, 52, 97, 98], "num_nod": [32, 44, 53, 157], "num_ord": 87, "num_out_featur": [71, 74], "num_output": 104, "num_output_afteratom": [80, 81, 132, 147, 157], "num_output_lay": 32, "num_param": [31, 32, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103, 147], "num_part": [1, 4], "num_point": 102, "num_proc": 149, "num_quadruplet": [80, 81, 87, 133], "num_radi": [32, 54, 55, 60, 64, 67, 68, 73, 77, 80, 81, 87, 92, 132, 147, 157], "num_rbf": [97, 98], "num_relaxation_batch": 147, "num_replica": 1, "num_resolut": [101, 103], "num_sampl": [19, 25, 27], "num_sigmoid": 104, "num_sit": [151, 154], "num_spher": [32, 54, 55, 60, 65, 67, 68, 73, 78, 80, 81, 87, 93, 132, 133, 147, 157], "num_sphere_sampl": [36, 38, 51, 52, 101, 103], "num_system": 147, "num_tap": [101, 103, 105], "num_target": [31, 32, 36, 38, 51, 52, 54, 55, 57, 67, 68, 70, 80, 81, 97, 98, 100, 101, 103, 147], "num_triplet": [54, 55, 67, 68, 83, 87], "num_triplets_inint": [80, 81], "num_triplets_qint": [80, 81], "num_work": [132, 141, 147, 157], "numba": 158, "number": [4, 9, 11, 14, 15, 19, 21, 25, 27, 28, 32, 36, 38, 39, 40, 43, 44, 45, 46, 49, 51, 52, 53, 54, 55, 57, 58, 60, 63, 66, 67, 68, 70, 71, 73, 76, 79, 80, 81, 83, 84, 85, 87, 91, 92, 93, 94, 97, 98, 99, 100, 101, 103, 105, 110, 121, 122, 126, 127, 128, 129, 130, 131, 133, 141, 142, 146, 148, 151, 154, 158], "numel": [147, 157], "numer": [59, 72, 80, 81, 86, 92, 93, 94, 147], "numpi": [1, 66, 79, 94, 99, 107, 132, 133, 134, 147, 149, 154, 156, 158], "nvolum": 132, "o": [129, 132, 133, 134, 138, 142, 144, 147, 149, 151, 153, 154, 156], "o2": [130, 153], "obj": [8, 16, 48, 119, 156], "object": [4, 8, 11, 16, 18, 19, 25, 27, 28, 48, 110, 114, 117, 119, 121, 122, 130, 132, 138, 149, 150, 154, 156], "obtain": [32, 98, 128, 137, 142, 147, 152], "obviou": [19, 25, 134, 147], "oc": [19, 132, 133, 134, 139, 144, 146, 147, 156, 158], "oc20": [48, 128, 132, 133, 144, 146, 148, 149, 150, 154, 158], "oc20_bader_data": 129, "oc20_data_map": 129, "oc20_ref": [130, 140, 141], "oc22": [36, 38, 128, 132, 133, 134, 144, 146, 156, 157, 158], "oc22_dataset": [130, 139], "oc22_lmdb": [140, 141], "oc22_lmdb_dataset": [0, 25, 30], "oc22_metadata": 130, "oc22lmdbdataset": [25, 28, 140, 141], "occur": 147, "ocdata": [151, 154], "ocean": 147, "och2ch3": [129, 142], "och2choh": [129, 142], "och3": [129, 142], "ochch2": 142, "ochch3": [129, 142], "ocho": 142, "ococ20": [132, 133, 134, 144, 156, 157, 158], "ococ22": [133, 134, 144, 158], "ocp": [9, 15, 17, 19, 25, 26, 45, 46, 121, 122, 125, 126, 127, 128, 129, 132, 134, 135, 138, 139, 142, 144, 145, 150, 154, 156, 157, 159], "ocp_checkpoint": [132, 133, 134, 144, 147, 151, 153, 154, 156, 157, 158], "ocp_dataset": [129, 139, 146], "ocp_is2r": [45, 46, 126, 127], "ocp_main": [15, 132, 134], "ocp_predict": [134, 141], "ocp_root": [15, 147], "ocp_s2ef": [45, 46, 126, 127], "ocp_train": [0, 30, 126, 133, 157], "ocp_tutori": 145, "ocpapi": 145, "ocpcalcul": [9, 132, 133, 134, 144, 147, 151, 153, 154, 156, 157], "ocpcollat": 1, "ocpmodel": [0, 132, 133, 134, 138, 140, 144, 147, 148, 151, 153, 154, 156, 157, 158], "ocptrain": [45, 46, 126, 127, 133, 147, 157], "oct": 156, "octahedr": 156, "octahedron": 156, "octet": 134, "odac": 139, "odac23": 146, "odac23_dataset": [131, 139], "odot": 100, "off": [129, 132, 138, 147, 149, 156], "offer": 147, "offset": [25, 26, 66, 79, 94, 121, 122, 132, 138, 147, 148, 149], "offsets_st": [66, 79, 94], "often": [132, 140, 147, 157], "oh": [129, 142], "oh2": [129, 142], "ohch2ch3": [129, 142], "ohch3": [129, 142], "ohnh2": [129, 142], "ohnnch3": [129, 142], "ok": [133, 134], "old": [17, 117, 129, 132, 133, 134, 144, 147, 151, 153, 154, 156], "older": [17, 146, 153], "ommit": [151, 154], "onc": [39, 49, 129, 142, 154], "one": [1, 19, 33, 36, 38, 39, 49, 51, 52, 54, 55, 63, 67, 68, 76, 80, 81, 82, 91, 97, 98, 117, 129, 132, 133, 141, 142, 144, 145, 147, 149, 151, 153, 154, 156, 158], "ones": [132, 133, 151, 156], "onh": [129, 142], "onli": [1, 11, 17, 19, 25, 33, 45, 46, 54, 55, 59, 67, 68, 72, 80, 81, 83, 86, 87, 91, 97, 98, 126, 127, 128, 130, 132, 133, 134, 141, 142, 147, 148, 149, 151, 153, 154, 156, 157], "onlin": 151, "onn": [129, 142], "onnh2": [129, 142], "onno2": 142, "onoh": [129, 142], "onto": 94, "ontop": 151, "ood": [129, 131, 141, 147], "ood_ad": [129, 141], "ood_both": [129, 141], "ood_cat": [129, 141], "ooh": 142, "op": 4, "open": [132, 133, 134, 138, 141, 142, 148, 149, 150, 151, 153, 156, 157, 158], "opencatalyst": 147, "opencatalystproject": [129, 130, 141, 147], "opendac": 131, "oper": [4, 8, 25, 26, 44, 70, 98, 140, 158], "opportun": [157, 158], "opposit": [80, 81], "opposite_neg": [80, 81], "opt": [34, 132, 133, 134, 138, 142, 144, 147, 149, 151, 153, 154, 156, 157, 158], "optim": [0, 5, 6, 10, 11, 30, 45, 46, 48, 98, 110, 119, 125, 126, 127, 132, 133, 138, 141, 144, 147, 148, 149, 151, 153, 154, 157, 158], "optim_config": 17, "optimizer_param": [132, 133, 144, 147, 157], "option": [5, 14, 17, 19, 25, 27, 28, 32, 41, 45, 46, 80, 81, 87, 98, 100, 107, 121, 122, 126, 127, 128, 132, 133, 138, 140, 141, 148, 150], "oqmd": [142, 151], "orang": [147, 156], "orbit": 132, "orc": 147, "order": [36, 38, 39, 43, 44, 49, 51, 52, 53, 59, 65, 72, 78, 86, 92, 101, 103, 105, 129, 130, 132, 134, 140, 141, 142, 147, 149, 151], "org": [97, 98, 132, 134, 135, 139, 141, 142, 147, 151, 153, 156], "organ": [17, 129, 147], "origin": [21, 23, 34, 80, 81, 110, 129, 139, 141, 147, 149], "orthogon": [56, 69, 82, 94], "os2ge3": 142, "os2i": 142, "os2sc": 142, "os2scta": 142, "os2sczr": 142, "os2si3": 142, "os2sr5n6": 142, "os2srp2": 142, "os2ta3": 142, "os2tati": 142, "os2tazn": 142, "os2tisi": 142, "os2vsi": 142, "os2ysi2": 142, "os2zr": 142, "os3r": 142, "os3ta": 142, "os3tc": 142, "os3w": 142, "os4y3ge13": 142, "os7sc4ge6": 142, "os_environ_get_or_throw": 2, "osas2": 142, "osasp": 142, "osass": 142, "osast": 142, "oscl12s2": 142, "oscl12se2": 142, "oscl12te2": 142, "oscl4": 142, "osge2": 142, "osp": 142, "osp2": 142, "osp4": 142, "osp4si4": 142, "ospdsc2": 142, "osps": 142, "osptsc2": 142, "osr": 142, "osre3": 142, "osreti2": 142, "osrev2": 142, "osrhsc2": 142, "osrhti2": 142, "osru": 142, "osru3": 142, "osrusi2": 142, "osruta2": 142, "osruti2": 142, "osruv2": 142, "osruzr2": 142, "oss2": 142, "ossbs": 142, "ossbt": 142, "ossc2zn": 142, "ossc4cl4": 142, "ossc6te2": 142, "osscg": 142, "osse2": 142, "ossi": 142, "ossi2": 142, "ossr2h6": 142, "ossr3n3": 142, "osssb": 142, "osta2tc": 142, "osta2v": 142, "osta2w": 142, "osta3": 142, "ostc3": 142, "ostcsi2": 142, "ostcti2": 142, "ostcv2": 142, "ostczr2": 142, "oste2": 142, "osti": 142, "osti2v": 142, "osti3": 142, "ostig": 142, "ostip": 142, "ostisi": 142, "osv": 142, "osv2w": 142, "osv3": 142, "osv6g": 142, "osv6si": 142, "oszr": 142, "oszrg": 142, "oszrp": 142, "oszrsi": 142, "otf": [36, 38, 51, 52, 101, 103], "otf_graph": [1, 25, 27, 31, 32, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103, 132, 133, 147, 157], "other": [4, 19, 25, 31, 32, 33, 34, 36, 37, 38, 40, 44, 54, 55, 58, 67, 68, 71, 80, 81, 85, 92, 97, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 128, 129, 132, 133, 137, 147, 148, 149, 151, 153, 156, 157, 158], "other_field": 142, "otherwis": [17, 32, 36, 38, 49, 98, 101, 103, 105, 128, 129, 133, 137, 141, 147], "our": [128, 129, 130, 131, 134, 141, 146, 147, 149, 151, 154, 156, 157], "out": [11, 17, 32, 70, 83, 94, 98, 126, 127, 129, 130, 131, 133, 137, 141, 143, 147, 148, 149, 154, 156, 157, 159], "out_agg": 83, "out_block": 147, "out_channel": [32, 33, 98], "out_emb_channel": 32, "out_embed": 43, "out_energi": [70, 147], "out_featur": [44, 58, 61, 85, 88, 107], "out_forc": [70, 147], "out_lmax": [44, 53], "out_mmax": [44, 53], "out_siz": 147, "outblock_0_had": 147, "outblock_1_had": 147, "outblock_2_had": 147, "outblock_2_sum": 147, "outblock_3_had": 147, "outblock_3_sum": 147, "outblock_4_sum": 147, "outblock_5_sum": 147, "outcar": [19, 25, 128], "outdir": 154, "outgo": 83, "output": [4, 32, 36, 38, 40, 43, 44, 45, 46, 49, 51, 52, 53, 54, 55, 57, 58, 60, 67, 68, 70, 71, 73, 80, 81, 83, 84, 85, 87, 91, 98, 101, 103, 125, 126, 127, 129, 130, 131, 132, 133, 134, 147, 153, 157, 158], "output_channel": 49, "output_init": [54, 55, 57, 67, 68, 70, 80, 81, 132, 147, 157], "output_scal": 44, "outputblock": [57, 70, 84], "outputppblock": 32, "over": [1, 19, 25, 40, 133, 147, 151, 154, 156, 158], "overal": 147, "overfit": [56, 69, 82, 132], "overlap": 147, "overrid": [4, 17, 147, 157], "overridden": [4, 156], "overrul": [19, 25], "overtaken": 158, "overus": 147, "overview": [138, 146, 148, 150], "overwrit": [25, 27], "overwritten": [59, 72, 86], "own": [33, 34, 37, 98, 138, 150, 153, 154, 158], "oxid": [130, 132, 139, 145, 157], "oxygen": [153, 156], "p": [109, 132, 142, 147, 151], "p2s3": 142, "p2s5": 142, "p2s7": 142, "p2se5": 142, "p2si": 142, "p4s3": 142, "p4s5": 142, "p4s7": 142, "p4se5": 142, "p_n": 94, "packag": [15, 132, 133, 134, 135, 138, 141, 142, 144, 147, 149, 151, 153, 154, 156, 157], "pad": [54, 55, 67, 68, 83], "pad_tensor": 4, "page": [0, 139, 146, 147, 149], "painn": [0, 30, 95, 134, 139, 144, 146, 158], "painnal": [134, 144, 158], "painnmessag": 98, "painnoutput": 98, "painnupd": 98, "pair": [66, 79, 91, 94, 117, 121, 122, 147, 158], "pairinteract": 91, "palizhati": [129, 139, 142, 146, 147], "panda": [151, 154], "paper": [34, 51, 52, 98, 101, 103, 129, 130, 131, 132, 134, 139, 140, 141, 142, 143, 146, 147, 149, 152, 153, 154], "parallel": [129, 138, 140, 141, 146, 151, 156], "param": [8, 11, 19, 25, 27, 147, 149], "paramet": [1, 5, 7, 8, 9, 11, 14, 17, 18, 19, 20, 21, 25, 28, 31, 32, 33, 34, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 48, 49, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 83, 84, 85, 86, 87, 88, 91, 92, 93, 94, 95, 96, 98, 100, 101, 103, 104, 105, 106, 107, 110, 112, 116, 117, 119, 121, 122, 126, 127, 132, 140, 147], "parent": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 151], "parikh": [129, 139, 146, 147], "pariti": [132, 152, 153], "parlanc": 140, "pars": [17, 152], "parse_known_arg": 157, "parse_valu": 17, "parser": [141, 157], "part": [32, 59, 72, 80, 81, 86, 129, 138, 139, 140, 147, 150, 156], "particip": 158, "particular": [19, 32, 98, 133, 137, 138, 147, 148], "particularli": 147, "partit": 1, "pass": [1, 4, 8, 17, 19, 49, 51, 52, 54, 55, 63, 67, 68, 76, 80, 81, 91, 97, 98, 101, 103, 140, 149, 151, 154, 158], "pass_idx": 154, "past": 158, "patch": 156, "path": [1, 9, 13, 15, 17, 19, 25, 26, 27, 34, 36, 38, 45, 46, 49, 54, 55, 66, 67, 68, 79, 80, 81, 95, 96, 121, 122, 126, 127, 128, 129, 130, 132, 135, 140, 141, 147, 149, 151, 154], "pathlib": [1, 13, 17, 19, 25, 26, 27, 95, 96, 151], "patienc": [132, 147, 157], "pattern": [19, 25, 128], "pb": 142, "pb19ti24": 142, "pb2ges4": 142, "pb2pd": 142, "pb2pd3a": 142, "pb2pd3s2": 142, "pb2pd3se2": 142, "pb2pd3te2": 142, "pb2pdcl6": 142, "pb2pt": 142, "pb2rh": 142, "pb2rh3s2": 142, "pb2rh3se2": 142, "pb2s4si": 142, "pb2s5sb2": 142, "pb2se4si": 142, "pb2sete": 142, "pb2sse": 142, "pb2ste": 142, "pb2y": 142, "pb3gete4": 142, "pb3pd5": 142, "pb3sc": 142, "pb3sc5": 142, "pb3snte4": 142, "pb3snzr5": 142, "pb3sr": 142, "pb3sr2": 142, "pb3srs4": 142, "pb3ti13": 142, "pb3y": 142, "pb3y5": 142, "pb3zr5": 142, "pb3zr5si": 142, "pb3zr5te": 142, "pb4gete5": 142, "pb4pdrh": 142, "pb4pt": 142, "pb4s11sb4": 142, "pb4s13sb6": 142, "pb4sns5": 142, "pb4snte5": 142, "pb4sr5": 142, "pb4sse3": 142, "pb5rh4": 142, "pb5sc6": 142, "pb9as4s15": 142, "pb9pd13": 142, "pbas2s4": 142, "pbc": [9, 17, 66, 79, 94, 109, 121, 122, 132, 134, 142, 151, 153, 156, 157], "pbcl2": 142, "pbcl4": 142, "pbcn2": 142, "pbe": [132, 134, 153], "pbge3se4": 142, "pbge7n10": 142, "pbges3": 142, "pbgete2": 142, "pbn10si7": 142, "pbp7": 142, "pbpd": 142, "pbpd15tl4": 142, "pbpd2sc": 142, "pbpd2y": 142, "pbpd2y2": 142, "pbpd3": 142, "pbpd4as3": 142, "pbpd5as4": 142, "pbpd9tl2": 142, "pbpdtl": 142, "pbps3": 142, "pbpse3": 142, "pbpt": 142, "pbpt3": 142, "pbpt5si": 142, "pbptte": 142, "pbrb": 142, "pbrbcl3": 142, "pbrh": 142, "pbrh2sc": 142, "pbrh2y": 142, "pbs2": 142, "pbsb2te4": 142, "pbsc2s4": 142, "pbsc2se4": 142, "pbsc3": 142, "pbse": 142, "pbse2": 142, "pbsn2se3": 142, "pbsn4te5": 142, "pbsns2": 142, "pbsns3": 142, "pbsnse2": 142, "pbsnte2": 142, "pbsr": 142, "pbsr2": 142, "pbsr2ge2": 142, "pbsr2tl": 142, "pbsr2zn": 142, "pbsr3s4": 142, "pbsrs2": 142, "pbsrzn": 142, "pbtas2": 142, "pbtase2": 142, "pbte": 142, "pbti2c": 142, "pbti3": 142, "pbtl": 142, "pbtl4te3": 142, "pby3": 142, "pbzr3": 142, "pbzrs3": 142, "pd": [142, 151, 153, 154], "pd11zr9": 142, "pd13tl9": 142, "pd15p2": 142, "pd16s7": 142, "pd20sb7": 142, "pd20te7": 142, "pd2a": 142, "pd2ge": 142, "pd2sb": 142, "pd2sbte": 142, "pd2scsn": 142, "pd2sczn": 142, "pd2snti": 142, "pd2sny": 142, "pd2snzr": 142, "pd2sr": 142, "pd2sras2": 142, "pd2srge2": 142, "pd2srp2": 142, "pd2srsb2": 142, "pd2srsi2": 142, "pd2ta": 142, "pd2ti": 142, "pd2tizn": 142, "pd2tlse3": 142, "pd2v": 142, "pd2y3": 142, "pd2y3si3": 142, "pd2y5sb": 142, "pd2yge": 142, "pd2yp2": 142, "pd2ysb": 142, "pd2ysi": 142, "pd2ysi2": 142, "pd2yzn": 142, "pd2zn": 142, "pd2zr": 142, "pd3": 142, "pd3a": 142, "pd3ag": 151, "pd3p": 142, "pd3p2s8": 142, "pd3pt3sn2": 142, "pd3rh3zr2": 142, "pd3ru": [142, 151], "pd3ru3ta2": 142, "pd3sb": 142, "pd3sc": 142, "pd3sch4": 142, "pd3sn": 142, "pd3sr2p3": 142, "pd3ta": [142, 151], "pd3ta2se8": 142, "pd3ta4te16": 142, "pd3te": 142, "pd3te2": 142, "pd3ti": 142, "pd3ti2": 142, "pd3tl": 142, "pd3tl2s2": 142, "pd3tl2se2": 142, "pd3tlh": 142, "pd3v": 142, "pd3w": 142, "pd3ys4": 142, "pd3zn": 142, "pd3zn10": 142, "pd3zn5": 142, "pd3zr": 142, "pd3zrsi3": 142, "pd4": 142, "pd4h3": 142, "pd4p": 142, "pd4se": 142, "pd4v": 142, "pd4w": 142, "pd4y3": 142, "pd4zn": 142, "pd5a": 142, "pd5assb": 142, "pd5ge": 142, "pd5se2te8": 142, "pd5sn7": 142, "pd5snp": 142, "pd5snsi": 142, "pd5sr": 142, "pd5sr4p5": 142, "pd5ti3": 142, "pd5tla": 142, "pd5tlp": 142, "pd5tlse": 142, "pd5znp": 142, "pd5znse": 142, "pd6p": 142, "pd6sbse": 142, "pd6sna": 142, "pd6snte2": 142, "pd6srsi6": 142, "pd6tla": 142, "pd7p3": 142, "pd7se2": 142, "pd7se4": 142, "pd9rh3ta4": 142, "pd9si2": 142, "pd9zr5p7": 142, "pdas2": 142, "pdass": 142, "pdassb": 142, "pdcl2": 142, "pdcl2se6": 142, "pdcl6s2": 142, "pdcl6se2": 142, "pdge": 142, "pdges3": 142, "pdh": 142, "pdist": 154, "pdn2s6": 142, "pdp": 142, "pdp2": 142, "pdp3": 142, "pdpse": 142, "pdpt": 142, "pdpt3": 142, "pdptsr2": 142, "pdptzn2": 142, "pdrb2cl4": 142, "pdrb2cl6": 142, "pdrb2h4": 142, "pdrb2se2": 142, "pdrb2te2": 142, "pdrb3h5": 142, "pdrbcl3": 142, "pdre3": 142, "pdreti2": 142, "pdrhsc2": 142, "pdrhzn2": 142, "pdrusc2": 142, "pdruy2": 142, "pds2": 142, "pdsb2": 142, "pdsbse": 142, "pdsbte": 142, "pdsc": 142, "pdsc2tc": 142, "pdsc2zn": 142, "pdsc6te2": 142, "pdscge": 142, "pdscsb": 142, "pdscsi": 142, "pdscsn": 142, "pdsczn": 142, "pdsczn2": 142, "pdse": 142, "pdse2": 142, "pdsete": 142, "pdsn": 142, "pdsn2": 142, "pdsn3": 142, "pdsn3sr": 142, "pdsn4": 142, "pdsnte": 142, "pdsnti": 142, "pdsny": 142, "pdsnzr": 142, "pdsr": 142, "pdsr2": 142, "pdsr2h4": 142, "pdsra": 142, "pdsrge3": 142, "pdsrh3": 142, "pdsrsi": 142, "pdsrtl2": 142, "pdssb": 142, "pdsse": 142, "pdta": 142, "pdta2s6": 142, "pdta2se6": 142, "pdta3": [142, 151], "pdtc3": 142, "pdtcti2": 142, "pdtczr2": 142, "pdte": 142, "pdte2": 142, "pdti": 142, "pdti2": 142, "pdti2h": 142, "pdti2h2": 142, "pdti2h3": 142, "pdti2h4": 142, "pdti3": 142, "pdti4": 142, "pdtia": 142, "pdtige": 142, "pdtisi": 142, "pdtizn2": 142, "pdtizr": 142, "pdtl2": 142, "pdtl2cl4": 142, "pdtl2se2": 142, "pdv3": 142, "pdy": 142, "pdy2ge6": 142, "pdyge": 142, "pdysi": 142, "pdyzn": 142, "pdzn": 142, "pdzn2": 142, "pdzn3": 142, "pdzr": 142, "pdzr2h2": 142, "pdzr2sb3": 142, "pdzr4": 142, "pdzra": 142, "pdzrge": 142, "pdzrsb": 142, "pdzrsi": 142, "pe": 132, "peak": [98, 147, 156], "pend": 142, "peopl": 128, "pep": 1, "per": [31, 32, 33, 34, 36, 37, 38, 40, 44, 51, 52, 58, 66, 71, 79, 80, 81, 85, 87, 92, 94, 98, 99, 101, 103, 104, 106, 107, 112, 116, 117, 140, 141, 147, 149, 154], "per_imag": [126, 127, 133], "percent": [153, 158], "perfect": [129, 132], "perform": [4, 17, 36, 38, 43, 44, 49, 51, 128, 132, 141, 142, 147, 148, 151, 153, 154, 156], "period": [21, 36, 38, 51, 52, 66, 79, 80, 81, 83, 94, 100, 101, 103, 121, 122, 132, 154], "permiss": [32, 98, 137, 147], "permit": [32, 98, 137, 147], "permut": [98, 158], "person": [32, 98, 137, 147], "perturb": 151, "phase": [139, 140], "phi": [59, 72, 86], "phi_": 98, "phy": 153, "physic": [147, 149, 158], "pick": 154, "pickl": [114, 129, 130, 138, 140, 147, 151], "picomet": 20, "piec": [132, 148], "pillow": 149, "pip": 142, "pkl": [129, 130, 140, 141, 151], "place": [17, 70, 132, 141, 142, 147, 151, 153], "placement": [129, 142, 151, 154], "plai": 147, "plan": 154, "plane": 94, "platform": [98, 158], "pleas": [128, 129, 130, 131, 132, 133, 135, 138, 139, 140, 141, 142, 144, 146, 147, 156], "plot": [7, 132, 134, 144, 149, 152, 153, 156], "plot_atom": [144, 147, 149, 151, 153, 156], "plot_histogram": 17, "plt": [132, 134, 138, 144, 147, 149, 151, 153, 156], "plu": 147, "pnyyzmtk": 147, "po": [17, 32, 89, 100, 138, 147, 148, 153], "point": [17, 25, 27, 28, 130, 131, 132, 134, 141, 147, 148, 149, 151, 153, 156, 158], "pointwis": [101, 103, 105], "polymorph": 132, "polynomi": [59, 64, 72, 77, 86, 92, 132, 147, 157], "polynomialenvelop": [64, 77, 92, 147], "ponder": 147, "pop": 15, "popul": 147, "portion": [32, 98, 137, 147, 153], "pos_m_onli": [59, 72, 86], "pos_relax": [138, 147], "poscar": [19, 25, 128, 142], "posit": [9, 14, 17, 66, 79, 94, 100, 121, 122, 132, 133, 138, 141, 142, 144, 146, 147, 149, 153], "position_idx": 154, "positions_average_distance_within_threshold": 147, "positions_ma": 147, "positions_ms": 147, "posixpath": [132, 134, 151, 157], "possibl": [17, 19, 25, 54, 55, 67, 68, 83, 128, 129, 132, 141, 142, 143, 147, 151, 153, 157], "post": [140, 146, 152], "potcar": 132, "potenti": [54, 55, 57, 67, 68, 70, 80, 81, 84, 128, 132, 133, 134, 142, 144, 147, 149, 151, 153, 154, 158], "potpaw": 132, "pow": 147, "power": 147, "powersin": 107, "pqr": 129, "pr": 143, "practic": [147, 153, 158], "pre": [59, 72, 86, 132, 135, 147, 158], "prec": 132, "precis": [45, 46, 126, 127, 133, 134, 147], "precomput": [129, 130, 131, 140], "pred": 133, "pred_po": 109, "predict": [17, 36, 38, 54, 55, 57, 67, 68, 70, 80, 81, 84, 97, 98, 100, 109, 125, 126, 127, 128, 132, 133, 134, 139, 142, 146, 148, 149, 150, 151, 153, 157, 158], "prediction_dtyp": [134, 141], "predicttask": [123, 124], "prefer": [132, 150], "preferr": 147, "prefil": 115, "prefix": [116, 117], "preform": [121, 122], "pregamma": [64, 77, 92], "pregamma_initi": [64, 77, 92], "prepar": 141, "preprint": [131, 139], "preprocess": [0, 19, 25, 30, 128, 138, 141, 147, 150], "preprocess_ef": 148, "preprocess_relax": 141, "prerequisit": 150, "presenc": [1, 147], "present": [17, 25, 26, 54, 55, 67, 68, 80, 81, 97, 98, 130, 133, 141, 147], "pretrain": [32, 95, 96, 132], "pretrained_energy_train": 147, "pretrained_train": 147, "pretti": [151, 153, 156], "prev_kei": 18, "prev_metr": 109, "prevent": [17, 40, 56, 69, 80, 81, 82, 89, 147, 149, 154], "previou": [139, 142, 147, 151], "previous": [141, 147], "previous_includ": 17, "primari": [121, 122], "primarili": 1, "primary_metr": [125, 126, 132, 157], "prime": [98, 100], "principl": [151, 156], "print": [15, 33, 34, 37, 45, 46, 126, 127, 132, 133, 134, 138, 140, 142, 144, 147, 148, 149, 151, 153, 154, 156, 158], "print_cuda_usag": 17, "print_everi": [45, 46, 125, 126, 127, 147, 157], "prior": [17, 139, 140], "probabl": [25, 26, 132, 133, 151, 153], "probe": 153, "problem": [133, 147], "process": [45, 46, 110, 121, 122, 126, 127, 129, 132, 138, 141, 147, 152], "processed_file_path": [121, 122], "processor": 158, "produc": [140, 147], "product": [63, 66, 76, 79, 94, 147], "profil": 149, "progess": 158, "programmat": 142, "progress": [19, 25, 147, 157, 158], "proj_drop": [36, 38, 49], "project": [17, 36, 38, 49, 54, 55, 60, 63, 67, 68, 73, 76, 80, 81, 91, 94, 129, 130, 132, 133, 138, 139, 141, 148, 150, 156, 158], "project_root": 17, "prompt": 115, "proof": 157, "propag": 98, "propan": [147, 149], "properli": [41, 147, 149], "properti": [1, 9, 19, 21, 25, 26, 31, 32, 36, 38, 45, 46, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103, 116, 117, 121, 122, 125, 126, 127, 133, 134, 147, 149, 158], "propertynotimplementederror": [9, 133], "proport": [54, 55, 67, 68, 80, 81], "propos": [64, 77, 92], "proto": 1, "protocol": [1, 138, 147, 156], "provid": [1, 25, 27, 32, 98, 125, 126, 129, 130, 131, 132, 133, 134, 137, 138, 140, 141, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 156, 157, 158], "pse": 142, "pseudopotenti": 154, "psi": 142, "pstorag": 134, "pt": [17, 125, 126, 132, 133, 134, 140, 141, 142, 144, 147, 151, 153, 157, 158], "pt11zr9": 142, "pt12si5": 142, "pt2ge": 142, "pt2ge3": 142, "pt2scsi": 142, "pt2scsn": 142, "pt2sczn": 142, "pt2si": 142, "pt2si3": 142, "pt2sn2zn3": 142, "pt2sn3": 142, "pt2sny": 142, "pt2sr": 142, "pt2sr3": 142, "pt2sras2": 142, "pt2srsi2": 142, "pt2ta": 142, "pt2te3": 142, "pt2tizn": 142, "pt2tls3": 142, "pt2tlse3": 142, "pt2tlte3": 142, "pt2v": 142, "pt2w": 142, "pt2y": 142, "pt2yge2": 142, "pt2ysi": 142, "pt2ysi2": 142, "pt2znzr": 142, "pt3ge": 142, "pt3ge2": 142, "pt3rb2s4": 142, "pt3rh": 142, "pt3rh2se10": 142, "pt3sb": 142, "pt3sc": 142, "pt3sc2si2": 142, "pt3si": 142, "pt3sn2sb4": 142, "pt3ta": 142, "pt3ta2s8": 142, "pt3ta2se8": 142, "pt3tc": 142, "pt3te4": 142, "pt3ti": 142, "pt3tl2": 142, "pt3v": 142, "pt3w": 142, "pt3y": 142, "pt3y5": 142, "pt3y7": 142, "pt3zn": 142, "pt3zr": 142, "pt3zr3sb4": 142, "pt4rbge4": 142, "pt4s3se": 142, "pt4sras6": 142, "pt4srp6": 142, "pt4y3ge13": 142, "pt4y3ge6": 142, "pt4y5": 142, "pt54oh": 142, "pt5p2": 142, "pt5sbsi": 142, "pt5se4": 142, "pt5snp": 142, "pt5snsi": 142, "pt5sr": 142, "pt5ti3": 142, "pt5tla": 142, "pt5tlsi": 142, "pt5zna": 142, "pt5znp": 142, "pt6si5": 142, "pt6srp2": 142, "pt7sb": 142, "pt7sc4si2": 142, "pt7zn12": 142, "pt8ti": 142, "pt8v": 142, "pt8zr": 142, "pt9sc5si7": 142, "pt9y2ge3": 142, "ptas2": 142, "ptasp": 142, "ptass": 142, "ptcl2": 142, "ptcl6s2": 142, "ptcl8s2": 142, "ptge": 142, "ptge2": 142, "ptgese": 142, "ptgete": 142, "ptp2": 142, "ptp2si3": 142, "ptrb2h4": 142, "ptrb2p2": 142, "ptrb2s2": 142, "ptrb2te2": 142, "ptrb3h5": 142, "ptre3": 142, "ptreti2": 142, "ptrh": 142, "ptrh3": 142, "ptrhsc2": 142, "ptrhzn2": 142, "ptru": 142, "ptrusc2": 142, "ptruy2": 142, "pts2": 142, "ptsb2": 142, "ptsbse": 142, "ptsbte": 142, "ptsc": 142, "ptsc2": 142, "ptsc2tc": 142, "ptsc2zn": 142, "ptsc3si3": 142, "ptscge": 142, "ptscp": 142, "ptscsb": 142, "ptscsi": 142, "ptscsn": 142, "ptsczn": 142, "ptsczn2": 142, "ptse2": 142, "ptsesi": 142, "ptsete": 142, "ptsite": 142, "ptsn": 142, "ptsnsb": 142, "ptsnse": 142, "ptsnsr": 142, "ptsnte": 142, "ptsnti": 142, "ptsny": 142, "ptsr2h6": 142, "ptsr2n2": 142, "ptsra": 142, "ptsrge3": 142, "ptsrp": 142, "ptsrsb": 142, "ptsrsi": 142, "ptsrtl2": 142, "ptssb": 142, "ptsse": 142, "ptta2se7": 142, "ptta3": 142, "pttasi": 142, "pttate5": 142, "pttc3": 142, "pttcti2": 142, "ptte": 142, "ptte2": 142, "ptti": 142, "ptti3": 142, "pttige": 142, "pttisi": 142, "pttizr": 142, "pttl2": 142, "ptv": 142, "ptv3": 142, "pty": 142, "pty2": 142, "pty2ge6": 142, "pty2zn": 142, "pty3": 142, "ptya": 142, "ptyge": 142, "ptyge2": 142, "ptyp": 142, "ptysb": 142, "ptysi": 142, "ptzn": 142, "ptzn3": 142, "ptzr": 142, "ptzr6sb2": 142, "ptzrsi": 142, "public": 135, "publicli": 147, "publish": [32, 98, 137, 147], "pull": 141, "purpos": [32, 98, 121, 122, 128, 137, 147, 153, 154, 156, 158], "push": 147, "put": [121, 122, 132, 138, 147], "py": [15, 19, 40, 129, 132, 133, 138, 140, 141, 142, 144, 147, 148, 149, 151, 153, 154, 156, 157], "pyg": [17, 135], "pyg2_data_transform": 17, "pyg_lib": 135, "pymatgen": [129, 158], "pypi": 135, "pyplot": [132, 134, 138, 144, 147, 149, 151, 153, 156], "pyrit": 132, "pythia": 8, "python": [17, 41, 114, 129, 130, 132, 133, 134, 135, 138, 140, 141, 142, 144, 145, 147, 149, 151, 153, 154, 155, 156, 158], "python3": [132, 133, 134, 138, 142, 144, 147, 149, 151, 153, 154, 156, 157], "pytorch": [1, 32, 80, 81, 121, 122, 133, 135, 141, 146, 147, 148], "pytorch_cuda_alloc_conf": 133, "pytorch_ema": 110, "pytorch_geometr": 32, "pyyaml": 142, "q": [91, 147], "qint_graph": [80, 81, 83, 133], "qint_tag": [80, 81, 132, 147, 157], "qm9": [8, 147, 149], "qmof": 24, "qmof_khot_embed": [0, 22, 25, 30], "qua": 134, "quad_idx": [80, 81, 91, 133], "quad_interact": [80, 81, 91, 132, 147, 157], "quadrat": 158, "quadruplet": [19, 60, 73, 80, 81, 83, 87, 91, 140, 147, 158], "quadrupletinteract": 91, "qualit": [132, 147], "quantiti": 147, "quantum": [100, 134, 147], "queri": [19, 25, 128, 156], "question": [66, 79, 94, 99, 140, 146], "queue": 157, "quick": 147, "quickli": 151, "quickstart": 145, "quit": [140, 147, 153, 156], "r": [4, 8, 59, 66, 72, 79, 86, 94, 129, 130, 132, 134, 142, 147, 149, 151, 153, 156], "r_ab": 94, "r_ab_proj": 94, "r_ac": 94, "r_cut": 154, "r_data_kei": [121, 122], "r_distanc": [121, 122, 138, 147, 148], "r_edg": [121, 122, 148], "r_energi": [19, 25, 121, 122, 128, 132, 134, 138, 147, 148, 157], "r_fix": [121, 122, 138, 147, 148], "r_forc": [19, 25, 121, 122, 128, 132, 134, 138, 147, 148, 157], "r_ij": 98, "r_pbc": [121, 122], "r_properti": [121, 122], "r_stress": [19, 25, 121, 122], "rad_basi": [87, 91, 133], "rad_w1": 87, "radial": [32, 36, 38, 42, 43, 49, 54, 55, 63, 65, 67, 68, 76, 78, 80, 81, 84, 87, 88, 91, 93], "radial_basi": [0, 55, 62, 65, 68, 75, 78, 81, 90, 93, 95, 133, 147], "radial_basis_aeaint": 133, "radial_funct": [0, 30, 38, 95], "radialbasi": [64, 65, 77, 78, 92, 93, 147], "radialfunct": 42, "radii": [20, 147, 149], "radiu": [17, 21, 80, 81, 121, 122, 138, 147, 148], "radius_graph_pbc": 17, "rag": 156, "ragged_rang": [66, 79, 94], "rais": [9, 15, 19, 25, 133], "ram": 151, "random": [15, 19, 25, 45, 46, 56, 69, 82, 126, 127, 128, 129, 130, 132, 133, 134, 138, 147, 151, 154], "random1981709": 129, "random2181546": 129, "random533137": 129, "random_adslab": [151, 154], "random_site_heuristic_plac": [151, 154], "random_st": 156, "randomli": [14, 132], "randomrot": 14, "rang": [41, 66, 79, 94, 133, 134, 147, 149, 151, 156, 158], "rank": [1, 45, 46, 126, 127, 147], "rate": [17, 34, 36, 38, 48, 49, 119, 132, 141, 142, 147, 149], "rather": [25, 26, 34, 128, 154], "rattl": [129, 134, 139, 144, 156, 158], "raw": [32, 80, 81, 87, 129, 130, 147, 148, 149], "raw_data": [138, 148], "raw_slab": [147, 149], "raw_slab_energi": [147, 149], "rb": [132, 142, 149, 151], "rb2": 142, "rb2as3": 142, "rb2cl6se": 142, "rb2cl6te": 142, "rb2ge2s5": 142, "rb2ges3": 142, "rb2gese3": 142, "rb2p3": 142, "rb2s3": 142, "rb2s5": 142, "rb2s7sb4": 142, "rb2se": 142, "rb2se3": 142, "rb2se4t": 142, "rb2sncl6": 142, "rb2snse3": 142, "rb2tccl6": 142, "rb2te": 142, "rb2te3": 142, "rb2te5": 142, "rb2vcl6": 142, "rb2wcl6": 142, "rb2ws4": 142, "rb2wse4": 142, "rb2zn5as4": 142, "rb2zncl4": 142, "rb2znh4": 142, "rb2zrte3": 142, "rb3ascl6": 142, "rb3asse4": 142, "rb3h12n5": 142, "rb3s3sb": 142, "rb3sb": 142, "rb3sbse4": 142, "rb3sccl6": 142, "rb3tas4": 142, "rb3ycl6": 142, "rb3znh5": 142, "rb5re3s7": 142, "rb5tc3s7": 142, "rba": 142, "rbas3ge3": 142, "rbcl": 142, "rbcl3ge": 142, "rbcl6sb": 142, "rbf": [32, 54, 55, 57, 60, 61, 63, 64, 67, 68, 70, 73, 74, 76, 77, 80, 81, 92, 97, 98, 132, 147, 157], "rbf3": [63, 76], "rbf_h": [63, 76], "rbf_spheric": [80, 81], "rbf_w1": [60, 73], "rbfh_ij": 98, "rbge": 142, "rbge2n3": 142, "rbh": 142, "rbh2n": 142, "rbn3": 142, "rbn3si2": 142, "rbp11": 142, "rbpse6": 142, "rbrecl4": 142, "rbrh2as2": 142, "rbrh2p2": 142, "rbru2as2": 142, "rbru2p2": 142, "rbs2sb": 142, "rbsb": 142, "rbsb2": 142, "rbsb2se4": 142, "rbsb3se5": 142, "rbsc5te8": 142, "rbsccl3": 142, "rbse": 142, "rbsncl3": 142, "rbsr2cl5": 142, "rbsrcl3": 142, "rbte": 142, "rbte6": 142, "rbtis2": 142, "rbtlcl3": 142, "rbvn2": 142, "rbys2": 142, "rbzn4as3": 142, "rbzn4p3": 142, "rcparam": [147, 149], "re": [17, 33, 34, 36, 37, 38, 49, 129, 132, 133, 134, 142, 144, 147, 151, 153, 154], "re1": 153, "re2": 153, "re24sc5": 142, "re24ti5": 142, "re24zr5": 142, "re2c": 142, "re2n": 142, "re2p": 142, "re2sc": 142, "re2tati": 142, "re2tiv": 142, "re2tiw": 142, "re2zr": 142, "re3": 153, "re3as7": 142, "re3clse4": 142, "re3ge7": 142, "re3n": 142, "re3rh": 142, "re3ru": 142, "re3tc": 142, "re3vzr2": 142, "re3y2si5": 142, "re4as5s4": 142, "re4si7": 142, "re4ysi2": 142, "reach": [143, 147], "reaction": [147, 149, 151, 153, 158], "read": [17, 19, 25, 128, 129, 132, 138, 139, 142, 146, 148, 151, 154], "read_json": [66, 79], "read_trajectory_extract_featur": [138, 147], "read_value_json": [66, 79], "readabl": [19, 25], "readchar": 142, "reader": [128, 147], "readi": 129, "readili": [129, 158], "readm": [129, 147], "readonli": [25, 26], "readout": 100, "readthedoc": [142, 156], "real": [59, 72, 86], "real_sph_harm": [59, 72, 86], "realiti": [147, 149], "realli": [151, 154], "realxat": [147, 149], "reason": [19, 25, 27, 28, 119, 128, 132, 133, 134, 147, 153, 154, 157], "reax_energi": 134, "reaxff": 134, "recal": [147, 154], "recalcul": 140, "recent": [132, 133, 157, 158], "reciproc": 132, "recl3": 142, "recl4n": 142, "recl6": 142, "recl9p": 142, "recogn": 1, "recommend": [19, 25, 128, 133, 135, 138, 140, 147, 151, 157], "recomput": [140, 142], "reconstruct": [129, 151], "record": [17, 159], "recreat": 132, "recurs": [17, 19, 25, 128], "red": 156, "reddish": 156, "reddit": 98, "redirect": [132, 133, 134, 157], "redirect_stdout": 133, "reduc": [51, 52, 56, 59, 69, 72, 82, 86, 98, 128, 147, 154, 156], "reduce_from_model_parallel_region": 4, "reducefrommodelparallelregion": 4, "reducelronplateau": [132, 147, 157], "reduct": [112, 151, 153], "redund": 154, "redux": 8, "ref": [116, 117, 129, 153], "refdata": 153, "refer": [36, 38, 129, 138, 140, 141, 142, 149, 150, 151, 153, 156], "referenc": [129, 139, 140, 142, 147, 149, 151, 153, 154], "reference_energi": 129, "refin": 132, "refit": 140, "reformul": [60, 73, 87], "refresh": 132, "regardless": [147, 149], "rege2": 142, "region": 156, "regist": [8, 31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "register_buff": 147, "register_dataset": 8, "register_logg": 8, "register_model": [8, 147], "register_task": 8, "register_train": 8, "registri": [0, 6, 30, 147], "regress": [132, 134, 147, 157], "regress_forc": [32, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103, 132, 133, 147, 157], "regular": [31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 82, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 147], "regularli": 158, "rel": [36, 38, 39, 49, 128, 130, 132, 147, 153], "relat": [146, 147, 151, 156, 158], "relax": [0, 6, 17, 19, 25, 27, 28, 30, 45, 46, 126, 127, 132, 133, 134, 139, 144, 146, 149, 150, 152, 156, 157, 158], "relax_dataset": [141, 147, 157], "relax_opt": [11, 141, 147], "relaxation1": [19, 25, 128], "relaxation2": [19, 25, 128], "relaxation_idx": [151, 154], "relaxation_step": [141, 147], "relaxationtask": [123, 124], "relaxed_atom": [151, 154], "relaxed_energi": [147, 149], "relaxed_energy_ml": [151, 154], "relaxed_posit": [141, 147], "relaxed_struc": [138, 147], "releas": [129, 139, 142, 146, 147], "relev": [80, 81, 91, 142, 147, 151], "reli": [141, 142], "reliabl": 147, "relianc": 147, "relu": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "remain": [132, 147, 156], "remark": 156, "remov": [1, 8, 15, 80, 81, 129, 132, 133, 134, 138, 147, 157], "ren": 142, "ren2": 142, "renam": [18, 141], "rename_data_object_kei": 18, "renew": 147, "reorder": [54, 55, 67, 68, 80, 81], "reorder_idx": [54, 55, 67, 68, 80, 81, 97, 98], "reorder_symmetric_edg": [54, 55, 67, 68], "reorder_tensor": [97, 98], "reorder_tensors_invneg": [97, 98], "rep3": 142, "repeat": [41, 66, 79, 94, 99, 147, 149, 154, 156], "repeat_block": [66, 79, 94, 99], "repeat_inc": [66, 79, 94, 99], "repetit": [66, 79, 94, 99], "repl": 142, "replac": [134, 135, 147], "repo": [138, 145, 147, 148, 151, 154, 158], "report": [5, 132, 146, 152], "repositori": [129, 150], "repr": [14, 40, 41, 44, 97, 98], "repres": [4, 25, 27, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 147, 149, 158], "represent": [33, 34, 37, 41, 44, 49, 51, 53, 56, 69, 82, 105, 121, 122, 132, 156], "reproduc": [132, 133, 134, 144, 147, 151, 153, 154], "reproducibli": 132, "request": [134, 142], "requir": [1, 4, 87, 129, 133, 134, 141, 142, 148, 150, 153, 156], "rerhti2": 142, "rerhzr2": 142, "reru3": 142, "rerun": 156, "reruti2": 142, "reruv2": 142, "res2": 142, "rescal": [39, 59, 72, 86], "rescale_factor": 39, "rescge2": 142, "resctc2": 142, "rese2": 142, "research": [129, 130, 131, 139, 142, 146, 147, 149, 158, 159], "reserv": 133, "reserved_kei": 26, "reset": 98, "reset_": [116, 117], "reset_index": [151, 154], "reset_paramet": [32, 57, 58, 60, 70, 71, 73, 85, 87, 97, 98], "reshap": [44, 53, 94, 121, 122, 133], "residu": [32, 34, 54, 55, 57, 58, 63, 67, 68, 70, 71, 76, 80, 81, 84, 85, 91, 157], "residuallay": [58, 71, 85], "resolut": [33, 36, 38, 39, 43, 44, 49, 51, 52, 101, 103], "resolv": [98, 134], "resort": 134, "resourc": [98, 128, 148, 153], "respect": [98, 100, 141, 147], "respons": [19, 134, 142], "resr3n3": 142, "resrn2": 142, "resrn3": 142, "rest": [133, 141, 147], "restor": [110, 113], "restrict": [32, 98, 137, 147], "result": [4, 9, 19, 25, 66, 79, 94, 110, 129, 132, 134, 140, 141, 144, 147, 152, 153, 154, 156, 158], "results_dir": [134, 141, 147], "results_fil": [125, 126, 127, 133, 147], "resum": 1, "reta": 142, "reta2tc": 142, "reta2ti": 142, "reta2w": 142, "retain": 156, "retasi": 142, "retc2ti": 142, "retcti2": 142, "retcv2": 142, "reti": 142, "reti2": 142, "reti2zn": 142, "retin3": 142, "retisi": 142, "retri": 142, "retriev": [4, 8, 132, 134, 156], "return": [1, 4, 8, 14, 15, 17, 19, 25, 27, 31, 32, 33, 34, 36, 37, 38, 40, 41, 43, 44, 54, 55, 57, 58, 59, 60, 61, 63, 66, 67, 68, 70, 71, 72, 73, 74, 76, 79, 80, 81, 83, 84, 85, 86, 87, 88, 91, 92, 94, 95, 96, 97, 98, 99, 103, 104, 106, 107, 110, 112, 116, 117, 121, 122, 133, 138, 142, 147, 149, 153, 154, 156], "return_adj": 83, "return_agg_idx": 83, "return_dict": 17, "return_distance_vec": [17, 147], "return_embed": 156, "return_offset": [17, 147], "reus": 140, "rev2w": 142, "rev3": 142, "reyn3": 142, "rezn2n3": 142, "rezr2": 142, "rh": [142, 153], "rh1": 153, "rh12as7": 142, "rh12y2p7": 142, "rh12zr2p7": 142, "rh15te16": 142, "rh2": 153, "rh20si13": 142, "rh2a": 142, "rh2ge": 142, "rh2ge3s3": 142, "rh2ge3se3": 142, "rh2p": 142, "rh2s3": 142, "rh2sb": 142, "rh2scge": 142, "rh2scsb": 142, "rh2scsi": 142, "rh2scsn": 142, "rh2sctl": 142, "rh2sczn": 142, "rh2se3": 142, "rh2si": 142, "rh2sn": 142, "rh2snti": 142, "rh2snv": 142, "rh2sny": 142, "rh2snzn": 142, "rh2snzr": 142, "rh2sr": 142, "rh2sras2": 142, "rh2srge2": 142, "rh2srp2": 142, "rh2ta": 142, "rh2tige": 142, "rh2tizn": 142, "rh2vzn": 142, "rh2y": 142, "rh2y3ge2": 142, "rh2y3si2": 142, "rh2y3si3": 142, "rh2yge2": 142, "rh2ysi2": 142, "rh2yzn": 142, "rh2zn11": 142, "rh2znge": 142, "rh2znsi": 142, "rh2znzr": 142, "rh3p2": 142, "rh3ru": 142, "rh3s4": 142, "rh3sb": 142, "rh3sc": 142, "rh3scsi7": 142, "rh3se8": 142, "rh3si2": 142, "rh3si4": 142, "rh3sn": 142, "rh3sn2s2": 142, "rh3sn5y2": 142, "rh3ta": 142, "rh3tc": 142, "rh3te2": 142, "rh3te4": 142, "rh3te8": 142, "rh3ti": 142, "rh3tl2s2": 142, "rh3v": 142, "rh3w": 142, "rh3y": 142, "rh3y2g": 142, "rh3y2ge5": 142, "rh3y2si5": 142, "rh3y7": 142, "rh3ysi2": 142, "rh3zn": 142, "rh3zr": 142, "rh4asp": 142, "rh4p3": 142, "rh4ru": 142, "rh4sc5si10": 142, "rh4si5": 142, "rh4y3ge13": 142, "rh4y5ge10": 142, "rh4yge2": 142, "rh5ge3": 142, "rh5si3": 142, "rh5sr8": 142, "rh5ti3": 142, "rh5v3": 142, "rh5y": 142, "rh5zr3": 142, "rh6scp4": 142, "rh6sras4": 142, "rh7sc4ge6": 142, "rh7sr2p6": 142, "rh9te16": 142, "rh9y4si5": 142, "rha": 142, "rhas2": 142, "rhas3": 142, "rhass": 142, "rhassb": 142, "rhast": 142, "rhcl3": 142, "rhcl3te6": 142, "rhcl7te7": 142, "rhclte": 142, "rhge": 142, "rhge4": 142, "rhgete": 142, "rhh": 142, "rhp": 142, "rhp2": 142, "rhp3": 142, "rhp3si3": 142, "rhpse": 142, "rhru": 142, "rhru3": 142, "rhrus4": 142, "rhrusc2": 142, "rhruti2": 142, "rhruy2": 142, "rhs2": 142, "rhsb3": 142, "rhsbse": 142, "rhsbte": 142, "rhsc": 142, "rhsc3si3": 142, "rhsc6te2": 142, "rhscge": 142, "rhscsi": 142, "rhscsi2": 142, "rhscte": 142, "rhse": 142, "rhse2": 142, "rhsi": 142, "rhsn": 142, "rhsn2": 142, "rhsn4": 142, "rhsnta": 142, "rhsnti": 142, "rhsnzr": 142, "rhsr2": 142, "rhsr2h5": 142, "rhsr3n3": 142, "rhssb": 142, "rhta3s6": 142, "rhtage": 142, "rhtap": 142, "rhtasi": 142, "rhtate4": 142, "rhtc": 142, "rhtc3": 142, "rhtcti2": 142, "rhtczr2": 142, "rhte": 142, "rhte2": 142, "rhti": 142, "rhti2": 142, "rhti5sb2": 142, "rhtia": 142, "rhtige": 142, "rhtisi": 142, "rhtizr": 142, "rhv": 142, "rhv3": 142, "rhva": 142, "rhvsb": 142, "rhy": 142, "rhy2si2": 142, "rhy2si3": 142, "rhy2zn": 142, "rhy3si3": 142, "rhyge": 142, "rhysi": 142, "rhyzn": 142, "rhzn": 142, "rhzn13": 142, "rhzn3": 142, "rhzr": 142, "rhzr2": 142, "rhzr3": 142, "rhzrge": 142, "rhzrge2": 142, "rhzrp": 142, "rhzrsb": 142, "richard": [130, 139], "right": [32, 98, 137, 147, 153, 154], "rise": 147, "rivier": [129, 139, 146, 147], "rizvi": [130, 139], "rm": [132, 147, 149, 157], "rms_norm_sh": [36, 38, 49], "role": 147, "root": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 17, 18, 19, 23, 24, 27, 28, 30, 31, 32, 40, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 132, 133, 134, 144, 147, 151, 153, 154, 157], "rot_i": 105, "rot_mat3x3": [44, 53], "rot_x": 105, "rot_z": 105, "rotat": [14, 39, 44, 49, 53, 101, 103, 105, 133, 144, 147, 149, 153, 158], "rotate_inv": [44, 53], "rotateinv": 105, "rotatewign": 105, "rotationmatrix": 105, "rotationtowignerdmatrix": [44, 53, 105], "roughli": [156, 158], "round": [17, 154], "routin": 142, "row": [25, 26, 132, 134, 151, 154, 156, 157], "row_idx": 154, "rpbe": [132, 153], "ru": 142, "ru12sc2p7": 142, "ru2ge3": 142, "ru2i": 142, "ru2p": 142, "ru2s3s": 142, "ru2sc": 142, "ru2scsb": 142, "ru2scsn": 142, "ru2scta": 142, "ru2scti": 142, "ru2scv": 142, "ru2sczr": 142, "ru2si": 142, "ru2si3": 142, "ru2sn3": 142, "ru2snta": 142, "ru2snti": 142, "ru2snv": 142, "ru2snzr": 142, "ru2sras2": 142, "ru2srge2": 142, "ru2srp2": 142, "ru2srsb2": 142, "ru2ta3": 142, "ru2tag": 142, "ru2tai": 142, "ru2tati": 142, "ru2tazn": 142, "ru2tig": 142, "ru2tisi": 142, "ru2tiv": 142, "ru2vg": 142, "ru2vsi": 142, "ru2vzn": 142, "ru2wzn": 142, "ru2y3": 142, "ru2y5": 142, "ru2yge2": 142, "ru2yp2": 142, "ru2ysi2": 142, "ru2yzr": 142, "ru2zr": 142, "ru2zrg": 142, "ru2zrsb": 142, "ru2zrsi": 142, "ru3sc5": 142, "ru3sn7": 142, "ru3ta": 142, "ru3tc": 142, "ru3v": 142, "ru3w": 142, "ru3y2ge5": 142, "ru3ysi2": 142, "ru3zn11sb": 142, "ru4si3": 142, "ru4sn6i": 142, "ru4srsb12": 142, "ru5si3": 142, "ru6scp4": 142, "ru7sc4ge6": 142, "rua": 142, "ruas2": 142, "ruasp": 142, "ruass": 142, "ruassb": 142, "ruast": 142, "rucl2te8": 142, "rucl3": 142, "rucl8s3": 142, "ruge": 142, "run": [11, 13, 15, 45, 46, 54, 55, 67, 68, 98, 119, 123, 124, 125, 126, 127, 128, 129, 133, 134, 138, 139, 141, 142, 144, 145, 146, 148, 149, 150, 152, 153, 155, 156, 158], "run_dir": [45, 46, 125, 126, 127, 147, 157], "run_relax": [126, 127, 147], "runner": [132, 134, 147, 157, 158], "runtim": 1, "runtime_check": 1, "runtimeerror": [8, 123, 124, 133, 157], "runtimewarn": 151, "ruo2": 132, "rup": 142, "rup2": 142, "rup3": 142, "rup4": 142, "rup4si4": 142, "rups": 142, "rus2": 142, "rusb": 142, "rusb2": 142, "rusb2t": 142, "rusbs": 142, "rusbt": 142, "rusc": 142, "rusc2si2": 142, "rusc2zn": 142, "ruscg": 142, "ruscp": 142, "ruscsi": 142, "ruse2": 142, "ruset": 142, "rusi": 142, "rusi2": 142, "rusn2": 142, "rusr2h6": 142, "rusr2n2": 142, "rusr2n3": 142, "rusr3n3": 142, "russ": 142, "russb": 142, "rusty1": 32, "ruta": 142, "ruta2tc": 142, "ruta2v": 142, "ruta2w": 142, "ruta3": 142, "rutap": 142, "rutasb": 142, "rutasi": 142, "rutc": 142, "rutc3": 142, "rutcti2": 142, "rutcv2": 142, "rutczr2": 142, "rute2": 142, "ruti": 142, "rutia": 142, "rutil": 132, "rutip": 142, "rutisb": 142, "rutisi": 142, "rutit": 142, "ruv": 142, "ruv3": 142, "ruv3zr2": 142, "ruvsb": 142, "ruy2ge2": 142, "ruy2zn": 142, "ruy3": 142, "ruysi": 142, "ruzn3": 142, "ruzr": 142, "ruzr5sb3": 142, "ruzr6te2": 142, "ruzra": 142, "ruzrg": 142, "ruzrp": 142, "ruzrsb": 142, "ruzrsi": 142, "rx": [151, 154], "rx_energi": [151, 154], "rx_id": [151, 154], "s18sb11": 142, "s2": [36, 38, 49], "s27sb17": 142, "s2activ": 33, "s2ef": [25, 27, 28, 45, 46, 126, 127, 140, 148, 150], "s2ef_predict": 141, "s2ef_result": 147, "s2ef_s2ef_result": 147, "s2si": 142, "s3": 134, "s3sb2": 142, "s3sb4se3": 142, "s4si": 142, "s5sb2": 142, "s7se": 142, "sad": 133, "sake": 147, "salvador": 132, "same": [17, 25, 27, 28, 34, 36, 38, 40, 49, 83, 94, 98, 110, 129, 134, 140, 141, 142, 147, 148, 149, 153, 154, 156], "same_idx": 154, "sampl": [0, 1, 14, 25, 27, 30, 32, 34, 36, 38, 51, 52, 95, 101, 103, 133, 141, 154], "sample_cuco": 138, "sample_ml_relax": 147, "sampler": [1, 25, 27, 125, 126, 147], "san": [147, 149], "saniti": 147, "satisfi": 142, "sauceda": [64, 77, 92], "save": [4, 11, 25, 26, 45, 46, 110, 121, 122, 125, 126, 127, 128, 132, 134, 140, 141, 142, 147, 148, 151, 156, 157], "save_checkpoint": 17, "save_count": 149, "save_experiment_log": 17, "save_for_backward": 4, "save_for_forward": 4, "save_full_traj": [11, 13], "save_result": [125, 126], "saved_tensor": 4, "sb": 142, "sb2se2t": 142, "sb2se3": 142, "sb2sete2": 142, "sb2te3": 142, "sb4se3te3": 142, "sb8te3": 142, "sbf": [32, 80, 81, 87, 93, 132, 147, 157], "sbf_basis_qint": 133, "sbf_hparam": 133, "sbf_name": 133, "sbte2": 142, "sc": 142, "sc2cl2n": 142, "sc2h5": 142, "sc2s3": 142, "sc2sb": 142, "sc2se3": 142, "sc2srs4": 142, "sc2srte4": 142, "sc2tctl": 142, "sc2tczn": 142, "sc2te3": 142, "sc2tlzn": 142, "sc2v3si4": 142, "sc2w3si4": 142, "sc2zns4": 142, "sc2znse4": 142, "sc2zr": 142, "sc3as2": 142, "sc3p": 142, "sc3p2": 142, "sc3sb": 142, "sc3sn": 142, "sc3sr3n5": 142, "sc3tc": 142, "sc3tl": 142, "sc3v2si3": 142, "sc3yn4": 142, "sc4cl6n": 142, "sc4n2s3": 142, "sc5as3": 142, "sc5cl8": 142, "sc5ge3": 142, "sc5ge4": 142, "sc5sb3": 142, "sc5si3": 142, "sc5sn3": 142, "sc5y5si6": 142, "sc5zr4n10": 142, "sc6sn5": 142, "sc7cl10": 142, "sc7cl12": 142, "sc7cl12n": 142, "sc7p3": 142, "sca": 142, "scaffold": 146, "scalabl": 147, "scalar": [36, 38, 39, 49, 147], "scale": [0, 19, 25, 30, 40, 54, 55, 58, 67, 68, 71, 80, 81, 85, 89, 92, 93, 111, 128, 134, 139, 147, 151, 158], "scale_backprop_forc": [80, 81], "scale_basi": [80, 81, 92, 93, 133], "scale_cbf_sum": 147, "scale_factor": [0, 30, 40, 111, 116], "scale_fil": [54, 55, 67, 68, 80, 81, 97, 98, 114, 140, 147], "scale_num_block": [67, 68], "scale_rbf": 147, "scale_sum": 147, "scaled_silu": [36, 38, 49], "scaledict": 114, "scaledsigmoid": 33, "scaledsilu": [33, 58, 71, 85], "scaledsmoothleakyrelu": 33, "scaledswiglu": 33, "scalefactor": [116, 117], "scaler": 133, "scaling_factor": 147, "scatter": [140, 147, 151, 156], "scatter_atom": [67, 68], "scatter_det": [17, 140], "scatter_sum": 70, "scatter_to_model_parallel_region": 4, "scattertomodelparallelregion": 4, "sccl": 142, "sccl3": 142, "scclh": 142, "scge": 142, "scge2": 142, "sch2": 142, "sch3": 142, "schedul": [0, 30, 48, 111, 132, 133, 147, 151, 153, 154, 157], "scheduler_param": 48, "scheme": [98, 141, 147, 151, 154], "schnet": [0, 30, 95, 134, 139, 141, 144, 146, 147, 158], "schnetwrap": 100, "sch\u00fctt": [64, 77, 92, 97, 98], "scientif": 147, "scipi": [151, 154], "scn": [0, 30, 95, 133, 134, 139, 142, 144, 146, 158], "scp": 142, "scpd3": 151, "scrap": 154, "scratch": 132, "screen": [143, 147], "script": [129, 138, 141, 142, 147, 148, 157, 158], "scsb": 142, "scsi": 142, "scsn2": 142, "scsn3": 142, "sctan2": 142, "sctatc2": 142, "sctc2": 142, "sctc2w": 142, "sctc2zr": 142, "sctc3": 142, "scte": 142, "scti9n9": 142, "sctls2": 142, "sctlse2": 142, "sctlte2": 142, "scv4si3": 142, "scyn2": 142, "scys2": 142, "scys3": 142, "scyzn2": 142, "sczn": 142, "sczn12": 142, "sczn2": 142, "sczn3": 142, "sczr": 142, "sczr3": 142, "sdata": 153, "sdiskusag": 158, "se": 151, "se2si": 142, "se2t": 142, "search": [19, 25, 121, 122, 128, 147, 151, 153, 155], "sec": 140, "second": [17, 87, 132, 134, 135, 147, 151, 153, 156, 158], "section": [119, 129, 132, 139, 142, 147, 151, 152, 153, 155], "see": [1, 4, 19, 25, 26, 34, 95, 96, 98, 129, 132, 133, 134, 138, 139, 140, 141, 142, 144, 146, 147, 149, 151, 152, 153, 154, 155, 156, 157], "seed": [9, 15, 45, 46, 125, 126, 127, 132, 133, 134, 140, 144, 147, 151, 153, 154, 156, 157], "seek": [147, 149], "seem": [54, 55, 67, 68, 132, 133, 135, 147], "seen": [134, 147], "select": [17, 19, 25, 26, 36, 38, 80, 81, 98, 128, 133, 134, 142, 158], "select_arg": [19, 25, 128, 134], "select_edg": [54, 55, 67, 68], "select_symmetric_edg": [54, 55, 67, 68, 80, 81, 97, 98], "self": [1, 9, 14, 19, 25, 26, 31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 85, 92, 97, 98, 103, 104, 106, 107, 112, 116, 117, 129, 133, 138, 147, 156, 157], "sell": [32, 98, 137, 147], "semi": [56, 69, 82], "seml": 17, "send": 157, "sens": 147, "sent": 134, "sep": 17, "separ": [4, 17, 34, 36, 38, 40, 49, 83, 98, 100, 132, 141, 151], "separables2activ": 33, "sequenc": [121, 122, 156], "sequenti": [107, 147], "serial": [25, 26], "serv": [19, 25, 141, 147], "server": [19, 25, 141, 146], "set": [1, 4, 9, 19, 25, 33, 34, 36, 37, 38, 51, 52, 98, 100, 101, 103, 105, 110, 121, 122, 128, 129, 130, 131, 133, 134, 135, 140, 141, 142, 144, 149, 151, 153, 154, 155, 156, 158], "set_": [116, 117], "set_axis_off": [144, 151, 153], "set_calcul": [132, 133, 134, 138, 144, 147, 148, 149, 153, 156], "set_constraint": [138, 147, 148, 149, 153], "set_cutoff": [80, 81], "set_embed": [44, 53], "set_epoch_and_start_iter": 1, "set_figheight": 151, "set_figwidth": 151, "set_lmax": 53, "set_lmax_mmax": [44, 53], "set_max_neighbor": [80, 81], "set_pbc": [138, 147, 148, 149], "set_posit": 13, "set_se": [125, 126], "set_tag": [132, 133, 147, 149, 156], "set_titl": [147, 149, 151], "set_wign": 44, "set_xlabel": 151, "set_xlim": 151, "set_ylabel": [151, 156], "set_ylim": 151, "sete": 142, "setformatt": 157, "setlevel": 157, "setup": [2, 124, 132, 133, 140, 151, 153, 154, 155, 158], "setup_context": 4, "setup_experimental_import": 17, "setup_gp": 4, "setup_import": [17, 147], "setup_log": [17, 147], "setuptool": 142, "sever": [129, 132, 146, 147, 148, 149, 150, 157, 158], "severitylevelbetween": [17, 157], "sfcc": 153, "sh": 142, "sha256": 134, "shall": [32, 98, 137, 147], "shanno": 147, "shape": [32, 33, 40, 54, 55, 57, 60, 61, 63, 66, 67, 68, 70, 73, 74, 76, 79, 80, 81, 83, 84, 87, 88, 91, 94, 99, 100, 132, 133, 138, 147, 156], "shape_bas": 156, "shard": [25, 27], "share": [17, 36, 38, 49, 83, 158], "share_atom_edge_embed": [36, 38], "sharei": 151, "shell": [121, 132, 158], "shift": [129, 142], "ship": 142, "shoghi": [130, 139], "sholl": [131, 139], "shortli": 132, "should": [4, 9, 15, 17, 19, 25, 27, 31, 32, 33, 34, 36, 37, 38, 40, 44, 54, 55, 58, 67, 68, 71, 80, 81, 85, 92, 98, 103, 104, 106, 107, 110, 112, 116, 117, 133, 134, 142, 145, 146, 147, 151, 153, 154, 156, 157], "show": [51, 52, 101, 103, 132, 134, 138, 142, 147, 151, 154, 156, 157, 158], "show_timing_info": [51, 52, 101, 103], "showcas": 158, "shown": [9, 133, 147], "shuaibi": [129, 130, 139, 142, 146, 147], "shuffl": [1, 125, 126, 132], "si": [142, 147, 149, 153], "si2ti2y2": 129, "sid": [121, 122, 130, 138, 147, 148], "siddharth": [129, 130, 139, 146, 147], "sigma": 132, "sigmoid": [36, 38, 51, 52, 101, 103], "sigmoidsmear": 104, "sign": 147, "signatur": [1, 134], "signedhead": 134, "signific": [19, 25, 146, 156], "significantli": 147, "sihoon": [131, 139], "silu": [32, 36, 38, 42, 49, 51, 52, 80, 81, 85, 101, 103, 132, 147, 157], "silusmear": 104, "similar": [40, 129, 141, 147, 153, 154, 156], "similarli": [142, 147], "similiar": 147, "simpl": [1, 56, 69, 82, 132, 135, 144, 147, 155, 158], "simpleatomedgemodel": 147, "simpler": 134, "simpli": [9, 19, 25, 128, 156, 157], "simplic": 149, "simplifi": 141, "simul": [9, 143, 144, 147, 149, 158], "simular": 154, "sin": 158, "sinc": [9, 25, 26, 27, 28, 36, 38, 44, 54, 55, 67, 68, 80, 81, 97, 98, 132, 140, 142, 146, 151, 153, 154], "sind": 134, "sine": 107, "sinesmear": 107, "singl": [25, 27, 28, 33, 34, 37, 59, 72, 86, 121, 122, 129, 130, 131, 133, 138, 141, 147], "single_point_lmdb": 147, "singlepoint": 132, "singlepointcalcul": [132, 142, 147, 149, 151], "singlepointdftcalcul": 151, "singlepointlmdb": [45, 46, 126, 127, 138, 141], "singlepointlmdbdataset": [25, 27, 138], "siqu": [58, 71], "siren": 107, "site": [132, 133, 134, 138, 142, 144, 147, 149, 151, 154, 156, 157], "six": [9, 142], "size": [1, 4, 25, 27, 32, 39, 43, 44, 49, 51, 53, 54, 55, 57, 58, 60, 61, 63, 66, 67, 68, 70, 71, 73, 74, 76, 79, 80, 81, 84, 85, 87, 88, 91, 94, 99, 128, 129, 130, 131, 133, 134, 138, 141, 144, 147, 148, 149, 158], "skew": 132, "skip": [1, 4, 32, 54, 55, 63, 67, 68, 76, 80, 81, 91, 133, 134, 135, 147, 149, 151, 153, 154], "skip_alwai": 19, "skip_if_nonzero": 19, "slab": [17, 129, 130, 133, 142, 144, 147, 149, 152, 153, 158], "slab_": 153, "slab_sid": 130, "slabmetadata": 142, "slice": [40, 98], "slightli": 133, "slope": [106, 151], "slope_stderr": 151, "slow": [19, 25, 147], "slowdown": 129, "slower": [134, 140, 151], "slurm": [45, 46, 125, 126, 127, 132, 134, 141, 147, 157], "slurm_mem": 157, "slurm_partit": 157, "slurm_timeout": 157, "small": [17, 19, 25, 128, 131, 133, 134, 147, 153, 154, 156], "smaller": [128, 133, 147], "smallest": 1, "smear": [0, 30, 95, 101, 107], "smooth": [32, 64, 77, 92], "smoothleakyrelu": 33, "sn": 142, "sn13zr20": 142, "sn2gete3": 142, "sn2o4": [132, 157], "sn2s2se": 142, "sn2s3": 142, "sn2s4si": 142, "sn2s5sb2": 142, "sn2sr3s7": 142, "sn2sr5as6": 142, "sn2sras2": 142, "sn2srzn2": 142, "sn2sse": 142, "sn2tas2": 142, "sn2tl2s3": 142, "sn2tl2s5": 142, "sn2y": 142, "sn2zr": 142, "sn3as4": 142, "sn3sete2": 142, "sn3sr": 142, "sn3sr14as12": 142, "sn3srsb4": 142, "sn3ti2": 142, "sn3ti5": 142, "sn3y": 142, "sn3znzr5": 142, "sn3zr5": 142, "sn3zr5n": 142, "sn3zr5se": 142, "sn3zr5si": 142, "sn4as3": 142, "sn4o8": [132, 157], "sn4p3": 142, "sn4s13sb6": 142, "sn4se3t": 142, "sn4sr": 142, "sn4zr3sb2": 142, "sn4zr5": 142, "sn5cl2s4": 142, "sn5sr3": 142, "sn5ti3s12": 142, "sn5ti6": 142, "sn5tl4s12": 142, "sn6v6y": 142, "sn7zr10": 142, "sna": 142, "sncl2": 142, "sncl4": 142, "sncl9p": 142, "sngen2": 142, "snges3": 142, "sngese2": 142, "snn10si7": 142, "sno2": 132, "snp": 142, "snp2s6": 142, "snp3": 142, "snps3": 142, "snpse3": 142, "sns2": 142, "sns7sb4": 142, "snsb2te4": 142, "snse": 142, "snse2": 142, "snsr": 142, "snsr2": 142, "snsr2s4": 142, "snsr2s5": 142, "snsr4n4": 142, "snsrn2": 142, "snsrp": 142, "snsrzn": 142, "snsse": 142, "snta3": 142, "snta3s6": 142, "sntas2": 142, "sntc2ti": 142, "snte": 142, "snti2": 142, "snti2c": 142, "snti3": 142, "snti3c2": 142, "snti3h": 142, "sntisb": 142, "sntl2te5": 142, "sntl4s3": 142, "sntl4s4": 142, "sntl4te3": 142, "snv3": 142, "snv6si": 142, "snyge": 142, "snyzn": 142, "snzn4n4": 142, "snznas2": 142, "snznn2": 142, "snznp2": 142, "snznsb2": 142, "snzr2": 142, "snzr3": 142, "snzr5": 142, "snzrs3": 142, "snzrte": 142, "so": [9, 17, 19, 25, 32, 36, 38, 43, 49, 51, 52, 80, 81, 82, 94, 97, 98, 121, 122, 132, 134, 137, 140, 147, 151, 153, 154, 156, 157], "so2_convolut": 43, "so2_linear": 43, "so2_m_convolut": 43, "so2_op": [0, 30, 38, 95], "so2block": 51, "so2conv": 51, "so2equivariantgraphattent": 49, "so3": [0, 30, 38, 51, 52, 95], "so3_edge_rot": 51, "so3_embed": [43, 44, 53], "so3_grid": [33, 36, 38, 44, 49, 51, 53], "so3_linear": 44, "so3_linearv2": 44, "so3_rot": [39, 44, 49, 53], "soap": 154, "soap_desc": 154, "soap_ex": 154, "societ": 147, "softplu": [64, 77, 92], "softwar": [32, 98, 137, 150], "solar": 147, "solut": [56, 69, 82, 133, 147], "solv": [139, 147], "some": [7, 15, 54, 55, 67, 68, 80, 81, 97, 98, 121, 122, 132, 134, 140, 141, 143, 147, 149, 151, 153, 158, 159], "someth": [133, 156], "sometim": 133, "somewhat": [132, 151, 153], "soon": [132, 133, 144], "sorbent": [131, 139], "sort": [17, 25, 26, 94], "sort_valu": 154, "sourc": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 25, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 147, 148], "source_el": [51, 103], "source_to_target": 98, "sout": 158, "sp": [151, 154], "space": [25, 26, 132, 156], "sparsetensor": [83, 94], "spatial": 154, "speci": [153, 154], "special": 8, "species_numb": 153, "specif": [14, 25, 26, 44, 53, 98, 132, 135, 141, 142, 147, 149, 158], "specifi": [17, 18, 19, 25, 48, 83, 98, 119, 130, 133, 134, 140, 141, 147, 153, 156, 157], "specific_mil": [151, 154], "specifii": 147, "spectra": [97, 98], "spectral": 156, "speed": [138, 147, 151, 154], "speedup": [25, 27, 98], "sph": [59, 60, 72, 73, 86, 87, 107], "sph_basi": [87, 133], "sph_harm_prefactor": [59, 72, 86], "sphere": [36, 38, 51, 52, 59, 72, 86, 101, 103], "sphere_basi": 40, "sphere_channel": [36, 38, 39, 43, 49, 51, 52, 101, 103], "sphere_channels_reduc": [101, 103], "sphere_point": 51, "spheric": [32, 36, 38, 39, 43, 44, 49, 51, 52, 53, 59, 64, 72, 77, 80, 81, 86, 87, 91, 92, 93, 101, 103, 105], "spherical_basi": [0, 55, 62, 68, 75, 81, 90, 95, 133], "spherical_bessel_formula": [59, 72, 86], "spherical_harmon": [0, 30, 95, 101, 132, 147, 157], "sphericalbasislay": [93, 133], "sphericalbesselbasi": [64, 77, 92], "sphericalchannelnetwork": [101, 103], "sphericalharmonicshelp": 105, "sphericalsmear": 107, "sphharm": 103, "sphharm_list": 103, "sphinx": 0, "spike": 147, "spinconv": [134, 139, 144, 146, 158], "split": [5, 7, 15, 125, 126, 127, 129, 130, 131, 133, 134, 138, 139, 141, 147, 151, 154, 155], "split_siz": 129, "spookynet": [64, 77, 92], "sq": 151, "sqlite": [19, 25, 121, 122], "sqlite3databas": [121, 122], "sqrt": [58, 71, 85, 151], "squar": [40, 151], "squareform": 154, "squeez": 147, "sr": 142, "sr2cln": 142, "sr2ge": 142, "sr2gen2": 142, "sr2ges4": 142, "sr2gese4": 142, "sr2hn": 142, "sr2n": 142, "sr2n8si5": 142, "sr2s4si": 142, "sr2sb": 142, "sr2si": 142, "sr2si3": 142, "sr2sse": 142, "sr2zn2as3": 142, "sr2zn5si3": 142, "sr2znas2": 142, "sr2znn2": 142, "sr2znp2": 142, "sr2zns3": 142, "sr3as4": 142, "sr3as4si2": 142, "sr3asn": 142, "sr3np": 142, "sr3nsb": 142, "sr3p14": 142, "sr3p4": 142, "sr3psb": 142, "sr3tan3": 142, "sr3vn3": 142, "sr3wn3": 142, "sr4gen4": 142, "sr4s3se": 142, "sr4sse3": 142, "sr4tin4": 142, "sr4vn4": 142, "sr4zn3si5": 142, "sr4zrn4": 142, "sr5as3": 142, "sr5assb2": 142, "sr5ge3": 142, "sr5si3": 142, "sr5ti2n6": 142, "sr6ge5n2": 142, "sr7cl2h12": 142, "sra": 142, "sras2s4": 142, "sras3": 142, "src": [2, 19, 25, 70, 94, 128, 132, 134, 138, 140, 141, 147, 151, 157], "src_id": [142, 151], "srcl2": 142, "srclh": 142, "srge": 142, "srge2": 142, "srge3": 142, "srge7n10": 142, "srgesi": 142, "srh2": 142, "srh4n2": 142, "srhn": 142, "sriram": [129, 130, 131, 139, 146, 147], "srn": 142, "srn10si7": 142, "srn2": 142, "srn2si": 142, "srn6": 142, "srn8si6": 142, "srp": 142, "srp2": 142, "srp3": 142, "srps3": 142, "srpse3": 142, "srs2": 142, "srs3": 142, "srsb2": 142, "srse": 142, "srsi": 142, "srsi2": 142, "srsi6": 142, "srtcn3": 142, "srte": 142, "srtis3": 142, "srtl": 142, "srtl2": 142, "srtl3": 142, "srvn2": 142, "srwn3": 142, "sry2s4": 142, "sry2se4": 142, "srzn": 142, "srzn11": 142, "srzn2": 142, "srzn2as2": 142, "srzn2ge2": 142, "srzn2n2": 142, "srzn2p2": 142, "srzn2sb2": 142, "srzn5": 142, "srzncl4": 142, "srznge": 142, "srznsb2": 142, "srznsi": 142, "srzrn2": 142, "srzrs3": 142, "srzrse3": 142, "ssi": 142, "ssp": 107, "sswap": 158, "ssxm": 151, "ssxym": 151, "ssym": 151, "stabil": [80, 81, 92, 93, 132, 140], "stabl": [141, 142, 151, 153, 156], "stack": [54, 55, 67, 68, 80, 81, 121, 122], "stackoverflow": [66, 79, 94, 99], "stage": [147, 157], "stamp": [132, 141], "standard": [9, 125, 126, 141, 147, 153], "start": [1, 25, 27, 28, 66, 79, 82, 92, 94, 99, 104, 107, 132, 133, 134, 145, 147, 150, 152, 153, 155, 157, 158], "start_idx": [66, 79, 94, 99], "start_it": 1, "start_iter": 1, "start_lmax": [44, 53, 105], "startup": [19, 25, 128], "stat": [109, 116, 117, 151], "state": [1, 17, 25, 27, 28, 45, 46, 56, 69, 82, 110, 126, 127, 132, 141, 146, 147, 149, 153, 158], "state_dict": [17, 110, 113, 116, 117], "statefuldistributedsampl": 1, "static": [1, 4, 19, 25, 125, 126], "staticmethod": 4, "statist": 140, "statu": [142, 145], "std": [37, 113, 133, 147], "std_balance_degre": 40, "stderr": 157, "stdev": 147, "stdout": [134, 157], "steer": 147, "stem": 83, "step": [5, 7, 11, 13, 48, 110, 119, 129, 132, 138, 142, 144, 148, 149, 150, 151, 154], "stephan": 147, "still": [1, 132, 134, 147, 153, 156, 157], "stitch": 129, "stochast": 34, "stoichiometri": 153, "stop": [92, 104, 129, 133, 147], "storag": [19, 25, 129, 147, 157], "store": [4, 8, 17, 19, 20, 21, 25, 26, 27, 28, 110, 129, 131, 132, 138, 141, 147, 153, 158], "str": [1, 2, 5, 7, 8, 9, 11, 13, 14, 16, 17, 18, 19, 25, 26, 32, 34, 36, 38, 40, 41, 44, 45, 46, 49, 51, 52, 54, 55, 57, 58, 61, 63, 64, 66, 67, 68, 70, 71, 74, 76, 77, 79, 80, 81, 84, 85, 88, 91, 92, 95, 96, 97, 98, 100, 101, 102, 103, 106, 107, 109, 112, 114, 115, 116, 117, 121, 122, 125, 126, 127], "strain": 134, "strang": 147, "stream": 134, "streamlin": 132, "stress": [9, 121, 122, 132, 146], "strict": [17, 36, 38, 154], "stricter": [80, 81], "strictli": [1, 17], "string": [8, 9, 15, 17, 19, 25, 33, 34, 37, 59, 72, 86, 98, 100, 121, 122, 132, 158], "stringio": 133, "strip": [132, 134], "strongli": [134, 147], "structur": [1, 11, 17, 19, 25, 27, 28, 31, 32, 33, 34, 37, 40, 44, 45, 46, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 126, 127, 132, 134, 139, 140, 146, 149, 151, 153, 156, 158], "strucutr": 147, "studi": [147, 149, 158], "stuff": 154, "style": [25, 27, 147], "sub": [80, 81, 141, 147, 149], "subclass": [1, 4, 9, 25, 27, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117], "subdir": [138, 147], "subdirectori": 17, "subject": [32, 98, 137, 147], "sublicens": [32, 98, 137, 147], "submiss": [142, 146], "submission_fil": 141, "submit": [141, 142, 143, 157], "submitit": [141, 157], "submodul": [31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 117], "subplot": [144, 147, 149, 151, 153, 156], "subselect": [36, 38, 80, 81], "subselect_edg": [80, 81], "subselect_graph": [80, 81], "subsequ": [57, 60, 61, 70, 73, 74, 84, 87, 88, 151, 157], "subset": [43, 129, 134, 147], "subset_db": 134, "subsplit": [129, 130, 147], "substanti": [32, 98, 132, 137, 147, 158], "subsubdirectori": 17, "subsurfac": [138, 147, 148, 149], "subtl": 153, "subtract": [36, 38, 66, 79, 94, 133, 138, 147], "subtyp": 1, "success": [141, 142, 147, 158], "sudden": 17, "suffici": [128, 132, 147, 156], "suffix": [125, 126], "suggest": [134, 147, 153], "suit": [147, 157], "suitabl": 98, "sum": [17, 39, 98, 147, 154, 156], "sum_": 100, "sum_i": 147, "sum_j": 147, "summar": [139, 147], "summat": [60, 65, 73, 78, 87], "summit": 157, "super": [31, 32, 33, 34, 37, 40, 41, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 147], "supplement": 158, "suppli": [141, 151, 154], "support": [25, 27, 83, 128, 132, 138, 141, 146, 147, 153], "supposedli": 134, "suppress": [133, 141, 153], "sure": [4, 56, 69, 82, 129, 135, 140, 146, 147, 151, 153, 154], "surfac": [80, 81, 129, 130, 138, 139, 140, 147, 148, 149, 152, 153, 154, 156], "surpris": [132, 134], "surrog": [147, 158], "surviv": 34, "svmem": 158, "swap": [91, 158], "swap_output": 91, "sweep_fil": 17, "sweep_yml": 157, "swiglu": 33, "swish": [54, 55, 58, 67, 68, 71], "sxx": 132, "sxy": 132, "sxz": 132, "sy": 151, "syi": 132, "sym": 32, "symbol": [129, 132, 142, 151, 153, 156], "symlink": 129, "symmetr": [54, 55, 67, 68, 80, 81, 91, 97, 98], "symmetri": 158, "symmetric_edge_symmetr": [97, 98, 132, 133, 144, 157], "symmetric_mp": 91, "symmetrize_edg": [80, 81, 97, 98], "sympi": [59, 72, 86], "sync": [138, 147], "synchron": 2, "syntax": [25, 26, 156], "system": [11, 15, 132, 133, 135, 138, 141, 144, 147, 148, 149, 152, 154, 156, 157, 158], "system_chang": [9, 133], "system_id": [129, 142], "system_path": [138, 147], "systemat": 153, "syz": 132, "szz": 132, "t": [1, 4, 8, 9, 19, 25, 36, 38, 54, 55, 63, 66, 67, 68, 76, 79, 80, 81, 94, 132, 134, 140, 149, 151, 153, 154, 156, 157], "t0": [132, 134, 151, 153], "t4": [134, 139, 144, 158], "t8": 147, "t_co": [25, 27], "ta": 142, "ta10s3s": 142, "ta11se8si2": 142, "ta2": 142, "ta2a": 142, "ta2h": 142, "ta2n": 142, "ta2n3": 142, "ta2p": 142, "ta2s": 142, "ta2se3": 142, "ta2si": 142, "ta2tcw": 142, "ta2te3": 142, "ta2tiw": 142, "ta2tl4s11": 142, "ta2v3g": 142, "ta2v3si": 142, "ta3a": 142, "ta3g": 142, "ta3n5": 142, "ta3p": 142, "ta3s2": 142, "ta3sb": 142, "ta3si": 142, "ta3site6": 142, "ta3vs6": 142, "ta3w": 142, "ta3ws8": 142, "ta4n5": 142, "ta4ss": 142, "ta5as4": 142, "ta5ge3": 142, "ta5n6": 142, "ta5nsi3": 142, "ta5s8": 142, "ta5sb4": 142, "ta5si3": 142, "ta6": 142, "ta6zn7": 142, "ta7s12": 142, "taa": 142, "taas2": 142, "taassi": 142, "tabl": 139, "tacl10p": 142, "tacl4": 142, "tacl6te2": 142, "tacl9t": 142, "tag": [19, 25, 80, 81, 121, 122, 132, 134, 138, 140, 142, 148, 151, 153, 156], "tage2": 142, "tagesi": 142, "tah2": 142, "tail": [132, 157], "take": [19, 57, 59, 70, 72, 84, 86, 98, 121, 122, 132, 134, 141, 142, 145, 146, 147, 148, 149, 151, 153, 154, 156, 157, 158], "taken": [129, 134], "tan": 142, "tap": [101, 103, 105, 142], "tar": [129, 130, 131, 147], "tarbal": 129, "target": [36, 38, 54, 55, 57, 66, 67, 68, 70, 79, 80, 81, 94, 100, 109, 112, 150], "target_constant_shap": 29, "target_el": [51, 103], "target_extens": 29, "target_kei": 133, "target_mean": [141, 147], "target_metadata_guess": [0, 25, 30], "target_neighbor_idx": 91, "target_per_atom": 29, "target_s": 4, "target_sampl": 29, "target_std": [141, 147], "target_to_sourc": 98, "tas2": 142, "tas3": 142, "tasb2": 142, "tase2": 142, "tase3": 142, "tasi2": 142, "task": [0, 8, 25, 27, 28, 30, 45, 46, 109, 121, 122, 125, 126, 127, 132, 134, 138, 140, 141, 146, 148, 150, 155], "task_metr": 109, "task_primary_metr": 109, "tass": 142, "tatc": 142, "tatc2g": 142, "tate": 147, "tate2": 142, "tate4": 142, "tatise4": 142, "tatite4": 142, "tatl3s4": 142, "tatl3se4": 142, "tav2": 142, "tavh4": 142, "tavp": 142, "tavsi4": 142, "taw": 142, "taw3": 142, "taw4si10": 142, "tawse4": 142, "tazn2": 142, "tazn2n3": 142, "tazn3": 142, "tazr4ge4": 142, "tazrte4": 142, "tb": [25, 26], "tc": 142, "tc2as3": 142, "tc2p3": 142, "tc2tige": 142, "tc2tisb": 142, "tc2tisi": 142, "tc2tiv": 142, "tc2tiw": 142, "tc2vge": 142, "tc2vsi": 142, "tc2wzr": 142, "tc2y": 142, "tc2zr": 142, "tc3n": 142, "tc3p": 142, "tc4si7": 142, "tccl3": 142, "tccl4": 142, "tcn": 142, "tcp3": 142, "tcp4": 142, "tcs2": 142, "tcsi": 142, "tcti": 142, "tcti2zn": 142, "tcv": 142, "tcyn3": 142, "tczn7": 142, "te": 142, "techniqu": 147, "technologi": 147, "tell": [128, 133], "temperatur": 17, "temporarili": 110, "ten": 142, "tenac": 142, "tend": [132, 153], "tensor": [1, 2, 4, 9, 13, 17, 33, 34, 37, 43, 44, 49, 50, 51, 53, 54, 55, 56, 57, 60, 61, 63, 64, 66, 67, 68, 69, 70, 71, 73, 74, 76, 77, 79, 80, 81, 82, 83, 84, 87, 88, 91, 92, 94, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 109, 112, 113, 116, 117, 121, 122, 133, 138, 147, 148, 156, 157], "tensor_ord": [80, 81], "tensorboard": [7, 132, 134, 141, 147, 157], "tensorboardlogg": 7, "tensorflow": [34, 146], "tensori": [97, 98], "term": 132, "termin": [11, 132, 134, 157], "test": [5, 15, 19, 25, 128, 129, 130, 131, 134, 135, 138, 140, 141, 149, 151, 155], "test_dataset": [132, 147, 157], "test_id": 129, "test_load": 147, "test_metr": 5, "test_ood_ad": 129, "test_ood_both": 129, "test_ood_cat": 129, "text": [129, 147, 149], "than": [11, 17, 25, 26, 34, 128, 129, 140, 141, 147, 148, 153, 154, 156], "thei": [1, 4, 9, 17, 83, 128, 132, 133, 134, 138, 141, 142, 143, 147, 149, 151, 153, 154, 156, 158], "them": [15, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 121, 122, 129, 131, 132, 133, 134, 140, 143, 147, 149, 151, 154, 156, 158], "theori": [129, 147, 151, 153, 158], "thermochem": 153, "thermodynam": 153, "theta": [59, 72, 86, 98, 100], "thi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 17, 18, 19, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 36, 37, 38, 40, 44, 45, 46, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 110, 111, 112, 113, 116, 117, 119, 121, 122, 124, 125, 127, 128, 129, 130, 132, 133, 134, 137, 138, 139, 140, 141, 142, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157], "thibaut": [129, 139, 146, 147], "thick": 153, "thing": [19, 132, 133, 134, 147, 151, 154, 158], "think": 151, "third": 132, "thoroughli": 132, "those": [36, 38, 132, 138, 141, 147, 150, 151, 154, 158], "though": [4, 132, 133, 134, 151, 153], "thought": 147, "thread": 24, "three": [132, 141, 147, 156, 158], "threshold": 29, "through": [19, 25, 27, 28, 132, 146, 147, 153, 154], "throughout": [142, 147], "throughput": [128, 138], "throw": [19, 147, 149], "throw_on_error": 1, "thu": [26, 147, 158], "ti": [132, 142], "ti11se4": 142, "ti13s24": 142, "ti13sb3": 142, "ti19se20": 142, "ti2": 142, "ti20ge9sb3": 142, "ti20h2n17": 142, "ti20sb9se3": 142, "ti20se19": 142, "ti2asp": 142, "ti2c": 142, "ti2cg": 142, "ti2csi": 142, "ti2h": 142, "ti2h3": 142, "ti2n": 142, "ti2n2": 142, "ti2o4": 132, "ti2psb": 142, "ti2pte2": 142, "ti2s": 142, "ti2s3": 142, "ti2sb": 142, "ti2se3": 142, "ti2te3": 142, "ti2vs4": 142, "ti2vse4": 142, "ti2vte4": 142, "ti2w3as4": 142, "ti2wsi6": 142, "ti2ys4": 142, "ti2zn": 142, "ti2znn": 142, "ti2zns4": 142, "ti2zr3si3": 142, "ti2zrh4": 142, "ti3a": 142, "ti3c2": 142, "ti3c2g": 142, "ti3c2si": 142, "ti3g": 142, "ti3n2": 142, "ti3p": 142, "ti3s4se2": 142, "ti3sb": 142, "ti3se2te2": 142, "ti3se4": 142, "ti3si": 142, "ti3te4": 142, "ti3tln": 142, "ti3v2si3": 142, "ti3vs4": 142, "ti3vs6": 142, "ti3zn": 142, "ti3zn3c": 142, "ti3zn3n": 142, "ti3znn": 142, "ti3zras2": 142, "ti4as3": 142, "ti4h3": 142, "ti4h5": 142, "ti4h7": 142, "ti4p3": 142, "ti4zns8": 142, "ti5as3": 142, "ti5csi3": 142, "ti5ge3": 142, "ti5ge4": 142, "ti5p3": 142, "ti5s8": 142, "ti5sb2si": 142, "ti5sb3": 142, "ti5se4": 142, "ti5si3": 142, "ti5si4": 142, "ti5te4": 142, "ti5te8": 142, "ti6ge5": 142, "ti7p4": 142, "ti8c5": 142, "ti8n5": 142, "ti8s3": 142, "ti9se2": 142, "tia": 142, "tian": 146, "tias2": 142, "tiast": 142, "tic": 142, "ticl": 142, "ticl2": 142, "ticl3": 142, "ticl4": 142, "ticl9p": 142, "ticln": 142, "tige2": 142, "tiges3": 142, "tigesb": 142, "tigete6": 142, "tight_layout": [151, 156], "tightli": 147, "tih": 142, "tih2": 142, "till": 17, "time": [17, 19, 25, 51, 52, 101, 103, 110, 132, 133, 134, 141, 144, 147, 149, 151, 153, 154, 157], "timestamp": [132, 141], "timestamp_id": [45, 46, 125, 126, 127, 147, 157], "timm": 34, "tin": 142, "tin3p": 142, "tini": 151, "tinit": 151, "tio2": 132, "tip": 142, "tip2": 142, "tip2s6": 142, "tis2": 142, "tis3": 142, "tisb": 142, "tisb2": 142, "tise": 142, "tise2": 142, "tiset": 142, "tisi": 142, "tisi2": 142, "tiss": 142, "tist": 142, "tite": 142, "tite2": 142, "titl": [17, 129, 130, 131, 132, 139, 142, 146, 147, 149], "titles": [147, 149], "tiv2te4": 142, "tiv4si3": 142, "tivas2": 142, "tivh4": 142, "tivn2": 142, "tivp": 142, "tivs2": 142, "tivse4": 142, "tiw": 142, "tiw3p4": 142, "tiw4zr": 142, "tiwp2": 142, "tiyg": 142, "tiysi": 142, "tizn": 142, "tizn16": 142, "tizn2": 142, "tizn3": 142, "tizn4n4": 142, "tiznn2": 142, "tizra": 142, "tizrn2": 142, "tizrs4": 142, "tizrs6": 142, "tizrse4": 142, "tizrte4": 142, "tl": 142, "tl2": 142, "tl2cl6te": 142, "tl2ge2s5": 142, "tl2ge2se5": 142, "tl2ges3": 142, "tl2gese3": 142, "tl2s3si": 142, "tl2se3": 142, "tl2se3si": 142, "tl2te3": 142, "tl2wcl6": 142, "tl3ass3": 142, "tl3asse3": 142, "tl3asse4": 142, "tl3pse4": 142, "tl3s3sb": 142, "tl3s4sb": 142, "tl3sb": 142, "tl3sbse3": 142, "tl3site3": 142, "tl3vs4": 142, "tl3vse4": 142, "tl3y": 142, "tl4ges4": 142, "tl4gese4": 142, "tl4s3": 142, "tl4s4si": 142, "tl4se4si": 142, "tl5se3": 142, "tl5y3": 142, "tl6": 142, "tl6cl4": 142, "tl7sb2": 142, "tl9sbse6": 142, "tl9sbte6": 142, "tlass2": 142, "tlcl": 142, "tlcl2": 142, "tlcl3": 142, "tlcl3ge": 142, "tlp5": 142, "tlps3": 142, "tls2sb": 142, "tlsbse2": 142, "tlsbte2": 142, "tlse": 142, "tlte": 142, "tlv12s16": 142, "tlv5s8": 142, "tlv5se8": 142, "tlvcl3": 142, "tly": 142, "tly2zn": 142, "tly3": 142, "tlys2": 142, "tlyse2": 142, "tlzn2sb2": 142, "tlzr3": 142, "tmp": [132, 133, 134, 144, 147, 151, 153, 154, 156, 157, 158], "to_ase_atom": 142, "to_grid": [44, 53], "to_json": 142, "to_outedg": 83, "toatom": 134, "todai": [147, 158], "todo": 133, "togeth": [132, 156], "togrid": 105, "toi": [149, 150], "toler": 17, "tolist": [1, 151, 154], "too": [31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 132, 134, 146, 147, 156, 157], "tool": [128, 156], "top": [129, 132, 142, 147, 153], "topic": 150, "topologi": 131, "torch": [1, 2, 4, 13, 17, 19, 25, 27, 28, 31, 32, 33, 34, 37, 39, 40, 41, 42, 43, 44, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 91, 92, 93, 94, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 109, 110, 112, 113, 114, 116, 117, 118, 119, 121, 122, 125, 126, 132, 133, 134, 135, 138, 140, 141, 144, 147, 148, 151, 153, 154, 156, 157, 158], "torch_doctest_autograd": 4, "torch_geometr": [1, 13, 17, 18, 25, 27, 98, 100, 120, 121, 122, 147, 148, 157], "torch_scatt": [70, 135, 147], "torch_spars": [94, 135], "torchaudio": 135, "torchcalc": 13, "torchvis": 135, "tort": [32, 98, 137, 147], "total": [59, 72, 83, 86, 87, 129, 133, 134, 138, 147, 153, 158], "total_energi": 132, "total_fram": 147, "toward": 147, "toy_c3h8": 147, "toy_c3h8_relax": [147, 149], "tpu": 34, "tqdm": [19, 25, 133, 134, 138, 142, 147, 151, 153, 156], "tqdmwarn": [142, 156], "tr": 135, "traceback": [133, 157], "track": [45, 46, 121, 122, 126, 127], "trade": 132, "tradit": 147, "train": [1, 5, 8, 9, 15, 19, 25, 31, 32, 33, 34, 36, 37, 38, 40, 44, 45, 46, 48, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 125, 126, 127, 128, 129, 130, 131, 133, 134, 138, 139, 148, 150, 151, 153, 154, 155, 156, 158], "train_100": 147, "train_10k": 147, "train_dataset": 147, "train_metr": 5, "train_on_free_atom": [132, 147, 157], "train_on_oc20_total_energi": [140, 141], "train_set": 134, "train_src": 147, "train_test_val_split": [15, 132, 157], "trainabl": 92, "trainer": [0, 8, 9, 30, 38, 95, 115, 124, 132, 141, 148, 156, 157], "training_st": [125, 126, 157], "traintask": [8, 123, 124, 157], "traj": [19, 25, 128, 134, 138, 147, 148, 149, 151, 154], "traj_dir": [13, 17, 141, 147], "traj_id": 130, "traj_nam": 13, "traj_path": [138, 147], "trajcetori": [138, 147], "trajectori": [11, 25, 27, 28, 131, 138, 141, 148, 152], "trajectory_lmdb": 147, "trajectorylmdb": [138, 141], "trajectorylmdbdataset": [25, 27, 138], "tran": [129, 130, 139, 146, 147], "transblockv2": 49, "transfer": 147, "transferr": 158, "transform": [0, 6, 11, 13, 19, 25, 27, 28, 30, 32, 36, 38, 40, 54, 55, 63, 67, 68, 76, 80, 81, 87, 91, 111, 147], "transform_arg": [19, 25], "transform_funct": [19, 25], "transformer_block": [0, 30, 38, 95], "transit": [147, 153], "translat": [133, 158], "treat": 19, "tree": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 27, 28, 30, 31, 32, 33, 34, 37, 40, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 112, 113, 116, 117, 121, 122, 124, 125, 127], "trend": 147, "tri": 133, "tricki": 151, "trim_tensor": 4, "trip_idx_a2": [80, 81, 91, 133], "trip_idx_e2": [80, 81, 91, 133], "trip_idx_e2a": [80, 81, 91, 133], "trip_in_to_quad": 83, "trip_interact": 147, "trip_out_to_quad": [83, 133], "tripinteraction_2_had_rbf": 147, "tripinteraction_2_sum_cbf": 147, "tripinteraction_3_had_rbf": 147, "tripinteraction_3_sum_cbf": 147, "tripinteraction_4_had_rbf": 147, "tripinteraction_4_sum_cbf": 147, "tripinteraction_5_had_rbf": 147, "tripinteraction_5_sum_cbf": 147, "triplet": [19, 32, 54, 55, 60, 63, 67, 68, 73, 76, 83, 87, 91, 158], "triplet_in": 83, "triplet_out": 83, "tripletinteract": [63, 76, 91], "tructur": 147, "true": [1, 4, 8, 9, 13, 17, 19, 25, 26, 32, 33, 36, 38, 39, 40, 43, 44, 49, 51, 52, 54, 55, 57, 58, 59, 66, 67, 68, 70, 71, 72, 79, 80, 81, 83, 84, 85, 86, 89, 91, 94, 97, 98, 99, 100, 101, 103, 116, 117, 121, 122, 125, 126, 127, 128, 129, 132, 133, 134, 138, 140, 141, 142, 147, 148, 149, 151, 153, 154, 156, 157], "truth": 8, "try": [128, 133, 147, 153, 157], "ttt": [132, 134, 157], "ttv": 15, "tu": 32, "tum": 17, "tune": [5, 134, 145, 147, 153, 155, 156, 158], "tune_report": 5, "tupl": [4, 14, 15, 17, 25, 26, 57, 66, 70, 73, 79, 87, 94, 98, 129, 130, 147, 156], "turn": [19, 129], "tutori": [98, 132, 134, 138, 141, 144, 145, 146, 149, 152, 153, 155, 157], "tutorial_data": 147, "tutorial_util": [0, 6, 30, 132, 134, 147, 157, 158], "twice": [87, 134], "two": [4, 17, 19, 25, 80, 81, 91, 117, 128, 132, 141, 142, 147, 151, 156, 158], "txie": 24, "txn": [138, 147], "txt": [129, 132, 134, 151, 157], "type": [0, 1, 4, 6, 17, 19, 25, 27, 30, 36, 38, 40, 44, 45, 46, 49, 53, 57, 59, 60, 61, 63, 66, 70, 72, 73, 74, 76, 79, 80, 81, 83, 84, 86, 87, 88, 91, 94, 107, 121, 122, 126, 127, 129, 133, 147, 149, 156, 157], "typeddict": 117, "typedstorag": [147, 157], "typeerror": 157, "typic": [87, 110, 147, 149, 153, 158], "typing_extens": [25, 26], "u": [141, 147], "ui_url": 142, "ulissi": [129, 130, 131, 139, 142, 146, 147], "ultim": [147, 157], "um": 156, "umap": 156, "umap_": 156, "umbrella": 158, "unavaial": 21, "unavail": [20, 149], "uncertainti": 147, "uncom": 147, "uncompress": [129, 130, 131], "under": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 17, 18, 19, 23, 24, 25, 26, 27, 28, 30, 31, 32, 44, 45, 46, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 111, 113, 121, 122, 124, 125, 127, 129, 130, 131, 139, 142, 146, 147, 156], "undergon": 146, "underli": [98, 129], "understand": [148, 150], "underwai": 147, "undesir": 17, "unfamiliar": 142, "unfortun": 147, "unhash": [147, 149], "uniform": [36, 38], "uniform_atoms_length": 29, "unintend": 147, "uninteract": 129, "uniqu": [8, 54, 55, 67, 68, 121, 122, 129, 138, 140, 141, 142, 147, 148, 154], "unit": [17, 51, 52, 57, 58, 59, 66, 70, 71, 72, 79, 83, 84, 85, 86, 94, 101, 103, 129, 142], "units_in": [57, 70, 84], "units_out": [60, 73], "univers": 147, "unk": [64, 77, 92], "unknown": [132, 134, 157], "unless": 157, "unlik": [147, 149], "unnecessari": 135, "unphys": 156, "unrecogn": [132, 144], "unrefer": 140, "unregist": 8, "unscal": 89, "unseen": 129, "unspecifi": 133, "unstabl": 94, "unsur": 147, "until": 147, "untyped_storag": [147, 157], "untypedstorag": [147, 157], "unus": 100, "up": [4, 17, 59, 72, 80, 81, 86, 89, 135, 146, 147, 149, 151, 153, 154, 156], "updat": [13, 15, 17, 57, 70, 84, 89, 91, 98, 109, 110, 129, 132, 133, 134, 141, 142, 144, 147, 149, 151, 153, 154, 156, 157], "update_best": [125, 126, 157], "update_config": 17, "update_dict": 7, "update_graph": 13, "update_json": [66, 79], "update_mask": 13, "upload": 141, "upon": [36, 38, 129], "upper": 151, "upsampl": [101, 103], "upward": 141, "url": [32, 135, 142], "urllib3": 142, "us": [1, 4, 8, 11, 15, 17, 19, 21, 25, 26, 27, 28, 32, 34, 36, 38, 39, 40, 41, 43, 44, 45, 46, 48, 49, 51, 52, 53, 54, 55, 57, 58, 61, 63, 65, 67, 68, 70, 71, 74, 76, 78, 80, 81, 83, 84, 85, 87, 88, 89, 91, 94, 97, 98, 100, 101, 103, 105, 110, 114, 121, 122, 125, 126, 127, 129, 130, 131, 132, 133, 134, 135, 137, 138, 139, 140, 141, 142, 143, 146, 148, 149, 150, 152, 154, 156, 157, 158], "usabl": [19, 129], "usag": [4, 8, 98, 147, 158], "use_atom_edge_embed": [36, 38, 39, 49], "use_attn_renorm": [36, 38, 49], "use_cosin": 107, "use_deterministic_algorithm": 140, "use_energy_lin_ref": [36, 38], "use_gate_act": [36, 38, 49], "use_grid": [51, 52, 101, 103], "use_grid_mlp": [36, 38, 49], "use_lock_fil": [25, 26], "use_m_share_rad": [36, 38, 49], "use_num_upd": 110, "use_pbc": [31, 32, 36, 38, 51, 52, 54, 55, 67, 68, 80, 81, 97, 98, 100, 101, 103], "use_phi": [59, 72, 86], "use_s2_act_attn": [36, 38, 49], "use_sep_s2_act": [36, 38, 49], "use_theta": [59, 72, 86], "use_tqdm": [19, 25], "usecas": [19, 25], "user": [19, 25, 129, 132, 133, 134, 142, 144, 147, 151, 153, 154, 156, 157], "user_global_n": 138, "user_instal": [142, 156], "user_n": 138, "userwarn": [132, 133, 134, 138, 144, 147, 149, 151, 153, 154, 156, 157], "usetex": [147, 149], "usual": [110, 132, 140, 147, 153, 158], "utexa": 129, "utf": 134, "util": [0, 1, 6, 9, 19, 25, 27, 28, 30, 55, 68, 81, 95, 97, 111, 116, 119, 125, 126, 128, 133, 134, 138, 141, 147, 148, 151, 154, 157, 158], "uuid": 142, "uyttendael": [131, 139, 142], "v": [98, 117, 121, 122, 132, 142, 147, 152], "v10ge3si3": 142, "v12p7": 142, "v2asc": 142, "v2c": 142, "v2cge": 142, "v2h": 142, "v2n": 142, "v2n3": 142, "v2p": 142, "v2p4s13": 142, "v2se9": 142, "v2zns4": 142, "v3": 142, "v32n3": 142, "v3a": 142, "v3as2": 142, "v3asc": 142, "v3asn": 142, "v3cge": 142, "v3ge": 142, "v3gen": 142, "v3np": 142, "v3p": 142, "v3p4s12": 142, "v3s4": 142, "v3s5": 142, "v3se4": 142, "v3te4": 142, "v3zn2n": 142, "v3zr2ge4": 142, "v3zr2si": 142, "v4as3": 142, "v4ges8": 142, "v4gese8": 142, "v4n3": 142, "v4p3": 142, "v4zn5": 142, "v4zns8": 142, "v5as3": 142, "v5ge3": 142, "v5np3": 142, "v5p3": 142, "v5s4": 142, "v5s8": 142, "v5sb4": 142, "v5se4": 142, "v5se8": 142, "v5si3": 142, "v5te4": 142, "v5te8": 142, "v5w5si6": 142, "v5zr7n2": 142, "v6c5": 142, "v6gesi": 142, "v6si5": 142, "v6zr2sb9": 142, "v7s8": 142, "v8c7": 142, "v8n": 142, "v9te8": 142, "v_qint_st": [80, 81], "v_st": [66, 79, 80, 81, 94, 147], "va": 142, "vacuum": [133, 134, 138, 144, 147, 148, 149, 153], "val": [5, 15, 17, 125, 126, 127, 128, 129, 131, 139, 140, 141, 147, 154, 155], "val_20": 147, "val_2k": 147, "val_dataset": [132, 147, 157], "val_id": [129, 141], "val_load": 157, "val_loss": 5, "val_metr": [5, 125, 126, 157], "val_ood_ad": 129, "val_ood_both": 129, "val_ood_cat": 129, "val_src": 147, "valenc": 21, "valid": [4, 15, 36, 38, 110, 125, 126, 129, 130, 131, 132, 141, 150, 157], "validatetask": [123, 124], "valu": [4, 7, 8, 15, 17, 21, 36, 38, 49, 64, 77, 80, 81, 82, 83, 87, 92, 93, 98, 114, 117, 121, 122, 129, 130, 132, 133, 140, 142, 147, 149, 152, 154, 156], "var": [56, 69, 82], "vari": 156, "variabl": [31, 32, 33, 34, 37, 40, 44, 58, 59, 71, 72, 85, 86, 92, 98, 103, 104, 106, 107, 112, 116, 117, 132, 141, 154, 156], "varianc": [56, 69, 82, 140], "variance_in": 117, "variance_out": 117, "variant": [54, 55, 67, 68], "varieti": [19, 25, 147, 156, 158], "variou": [7, 8, 129, 131, 139, 146, 147], "vas2": 142, "vasp": [132, 142], "vasp_flag": 154, "vc": 142, "vcl2": 142, "vcl3": 142, "vcl4": 142, "vcl5": 142, "vcl9p": 142, "vdict": 156, "ve": [34, 138, 146, 147, 149], "vec": 98, "vec_j": 98, "vector": [36, 38, 40, 49, 66, 79, 94, 99, 121, 122, 133, 147, 149, 154, 155, 158], "vector_reject": 94, "verbos": [25, 26, 153], "veri": [1, 132, 133, 134, 138, 147, 154, 156], "version": [130, 131, 135, 153, 158], "vge2": 142, "vgesi": 142, "vh": 142, "vh2": 142, "via": [83, 98, 117, 141, 157, 158], "video": 136, "videos_dir": 149, "view": 132, "view_x3d_n": 154, "virtual": 158, "visibl": 41, "visibledeprecationwarn": 156, "visit": [132, 142], "visual": [142, 144, 150, 151, 153, 154, 156], "vjp": 4, "vn": 142, "vo2": 132, "vol": 132, "volum": [21, 132, 134, 147, 149, 157], "vp": 142, "vp2": 142, "vp4": 142, "vs2": 142, "vs4": 142, "vse": 142, "vse2": 142, "vsi2": 142, "vstack": 154, "vte2": 142, "vw": 142, "vw3": 142, "vwzr": 142, "vzn2n3": 142, "vzn3": 142, "vzrge": 142, "vzrp": 142, "w": [4, 56, 69, 82, 94, 142, 147, 149, 153, 157], "w0": 107, "w2as3": 142, "w2c": 142, "w2cl8n": 142, "w2n3": 142, "w2s3se": 142, "w2s3te": 142, "w2se3t": 142, "w2sete3": 142, "w2sse3": 142, "w2ste3": 142, "w2zr": 142, "w3p": 142, "w3s2se4": 142, "w3s2te4": 142, "w3s4se2": 142, "w3s4te2": 142, "w3se2te4": 142, "w3se4te2": 142, "w4cl11p": 142, "w5si3": 142, "w9c4": 142, "wa": [19, 25, 27, 28, 98, 110, 129, 132, 133, 138, 142, 146, 147, 153, 154, 156, 158], "wai": [1, 4, 19, 25, 31, 32, 33, 34, 37, 40, 44, 56, 58, 69, 71, 82, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 125, 126, 128, 132, 133, 142, 150, 151, 154, 156, 157], "walk": 147, "walkthrough": 147, "wandb": [7, 8, 45, 46, 125, 126, 127, 132, 134, 147, 157], "wandblogg": [7, 8], "wander": 142, "want": [1, 9, 19, 25, 128, 132, 143, 144, 147, 151, 153, 157, 158], "warmup_epoch": 48, "warmup_factor": 48, "warmup_lr_lambda": [17, 119], "warmup_step": [17, 147], "warn": [8, 19, 25, 118, 132, 134, 144, 147, 149, 151, 153, 154, 156, 157], "warranti": [32, 98, 137, 147], "wartim": 147, "was2": 142, "wasg": 142, "wasnt": 154, "wast": 154, "watch": [7, 151], "water": 153, "wb": 134, "wc": 142, "wcl2": 142, "wcl3": 142, "wcl4": 142, "wcl6": 142, "wcl6te2": 142, "wcl9te": 142, "wcwidth": 142, "we": [1, 17, 25, 26, 33, 36, 38, 40, 44, 48, 54, 55, 67, 68, 80, 81, 97, 98, 128, 129, 130, 131, 132, 133, 134, 135, 138, 140, 141, 143, 144, 145, 146, 147, 149, 150, 151, 153, 154, 156, 157, 158], "weaker": 153, "webpag": [147, 149], "weight": [31, 36, 38, 40, 49, 56, 60, 69, 73, 82, 87], "weight_decai": [132, 133, 144, 157], "weight_init": [36, 38], "weihua": [129, 139, 146, 147], "well": [139, 141, 147, 148, 151, 153, 154, 158], "were": [4, 129, 139, 147, 149, 158], "west": 134, "wget": [134, 147], "what": [9, 132, 133, 144, 147, 149, 151, 153, 154, 156, 157, 158], "when": [1, 8, 11, 19, 25, 31, 32, 33, 34, 36, 37, 38, 39, 40, 44, 49, 56, 58, 69, 71, 80, 81, 82, 85, 87, 92, 98, 103, 104, 106, 107, 110, 112, 116, 117, 121, 122, 129, 132, 133, 142, 147, 151, 154, 156, 158], "whenev": 142, "where": [19, 25, 36, 38, 45, 46, 59, 72, 86, 98, 121, 122, 126, 127, 129, 130, 133, 134, 140, 141, 147, 149, 153, 154, 156, 158], "whether": [4, 5, 11, 17, 31, 32, 33, 34, 36, 37, 38, 39, 40, 44, 49, 54, 55, 58, 65, 66, 67, 68, 71, 78, 79, 80, 81, 83, 85, 91, 92, 93, 94, 98, 99, 100, 103, 104, 106, 107, 110, 112, 116, 117, 129, 137, 141, 147, 149], "which": [8, 9, 14, 17, 19, 25, 27, 40, 59, 72, 80, 81, 83, 86, 94, 98, 110, 128, 129, 132, 133, 134, 139, 140, 141, 142, 147, 149, 151, 153, 154, 156, 157, 158], "while": [132, 134, 140, 142, 147, 158], "white": 147, "whl": 135, "who": [128, 138], "whole": [134, 153], "whom": [32, 98, 137, 147], "whose": [8, 17], "why": 156, "wide": [147, 158], "widespread": 147, "width": [51, 52, 101, 103], "wigner": [0, 30, 38, 39, 44, 49, 53, 95, 105], "wigner_d": [50, 53, 105], "wiki": [19, 25, 129, 147, 149], "wildcard": [19, 25, 128], "wind": 147, "wire": 147, "wish": [138, 141, 147], "within": [14, 36, 38, 49, 121, 122, 147, 148, 149, 154], "without": [19, 32, 45, 46, 57, 70, 84, 98, 110, 119, 126, 127, 128, 134, 136, 137, 142, 147], "wn": 142, "wn2": 142, "wood": [129, 130, 139, 142, 146, 147], "work": [19, 25, 27, 94, 132, 133, 134, 146, 147, 148, 153, 155, 157, 158], "worker": [129, 141, 147], "workflow": [142, 147], "workshop": [150, 151, 158], "world": [2, 147], "world_siz": 157, "worri": 138, "wors": 147, "worth": [54, 55, 67, 68, 134, 140], "would": [94, 134, 141, 142, 147, 149, 151, 153, 154], "wp": 142, "wp2": 142, "wrap": [133, 142], "wrapper": [5, 100], "write": [13, 15, 121, 122, 128, 132, 134, 142, 147, 148, 149], "write_json": [66, 79], "write_po": [141, 147], "write_vasp_input_fil": 154, "write_xyz": [147, 149], "written": [19, 25, 26, 121, 122, 141, 142, 154], "ws2": 142, "wse2": 142, "wsete": 142, "wsi2": 142, "wsse": 142, "wste": 142, "wte2": 142, "www": 98, "wyn3": 142, "wzn3n4": 142, "x": [1, 2, 16, 31, 32, 33, 34, 37, 40, 41, 43, 44, 49, 51, 58, 59, 66, 71, 72, 79, 85, 86, 92, 94, 98, 100, 103, 104, 105, 106, 107, 112, 116, 117, 134, 147, 149, 151, 153], "x1": 156, "x2": 156, "x3": 156, "x3dase": 154, "x64": [132, 133, 134, 138, 142, 144, 147, 149, 151, 153, 154, 156, 157, 158], "x86_64": 158, "x_e": [147, 156], "x_e_i": 147, "x_edg": [43, 51, 103], "x_f": [147, 156], "x_grid": [44, 53, 105], "x_i": 98, "x_j": 98, "x_m": [43, 51], "x_pt": 51, "xc": [132, 134], "xdoctest": [1, 4], "xh_j": 98, "xiaohan": [131, 139], "xie": 146, "xlabel": [17, 132, 134, 138, 147, 149, 153, 156], "xtick": [147, 149], "xu": 153, "xyz": [19, 25, 107, 128, 129, 130], "xz": 129, "xzvf": 147, "y": [59, 66, 72, 79, 86, 94, 138, 140, 142, 147, 149, 151, 153, 156, 157], "y10ge3si3": 142, "y10h21": 142, "y2ass": 142, "y2cl3n": 142, "y2p": 142, "y2s2te": 142, "y2s3": 142, "y2te3": 142, "y2zn17": 142, "y2zn3n4": 142, "y2zns4": 142, "y2zrs5": 142, "y3ge4": 142, "y3ge5": 142, "y3ge6n11": 142, "y3h": 142, "y3h2": 142, "y3s2si": 142, "y3sb": 142, "y3zn11": 142, "y4asse3": 142, "y4n2s3": 142, "y4n2se3": 142, "y4n2te3": 142, "y4sb3": 142, "y4zrsi3": 142, "y5ge2sb2": 142, "y5ge3": 142, "y5hsi3": 142, "y5s7": 142, "y5sb2si2": 142, "y_init": [138, 147], "y_lm_real": [59, 72, 86], "y_relax": [128, 138, 147], "ya": 142, "yaml": [140, 147], "yang": 156, "yass": 142, "ycl": 142, "ycl3": 142, "year": [129, 130, 131, 139, 142, 146, 158], "yet": [147, 156], "yge": 142, "yge3": 142, "yh2": 142, "yh3": 142, "yhse": 142, "yield": [1, 25, 27], "ylabel": [17, 132, 134, 147, 149, 153, 156], "yml": [15, 48, 132, 133, 134, 135, 140, 141, 147, 157], "yn": 142, "yoon": [129, 139, 146, 147], "you": [1, 4, 15, 19, 25, 31, 32, 33, 34, 36, 37, 38, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 128, 129, 132, 134, 135, 138, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 151, 153, 154, 156, 157, 158], "your": [4, 19, 25, 31, 32, 33, 34, 37, 40, 44, 58, 71, 85, 92, 98, 103, 104, 106, 107, 112, 116, 117, 128, 129, 130, 132, 135, 138, 140, 141, 142, 143, 144, 146, 150, 153, 154, 157], "yourself": 138, "yp": 142, "yp5": 142, "ysb": 142, "yscale": [138, 147], "yse": 142, "yse2": 142, "ysi": 142, "ysi2": 142, "ysi3": 142, "yte": 142, "yte2": 142, "yte3": 142, "ytick": [147, 149], "yu": [131, 139], "yzn": 142, "yzn12": 142, "yzn2": 142, "yzn3": 142, "yzn3p3": 142, "yzn5": 142, "yznge": 142, "yznsi": 142, "yzrs2": 142, "yzrsb": 142, "z": [32, 59, 61, 72, 74, 86, 88, 100, 147, 149, 153], "zachari": [129, 130, 131, 139, 142, 146, 147], "zero": [9, 19, 59, 72, 86, 147, 149], "zero_m_onli": [59, 72, 86, 133], "zhou": 151, "zitnick": [129, 130, 136, 139, 142, 146, 147], "zn": 142, "zn16zr": 142, "zn2cln": 142, "zn2ges4": 142, "zn2gese4": 142, "zn2n3p": 142, "zn2n3sb": 142, "zn2p3s9": 142, "zn2sete": 142, "zn2sse": 142, "zn2zr": 142, "zn2zr3": 142, "zn2zrge": 142, "zn3as2": 142, "zn3n2": 142, "zn3p2s8": 142, "zn3zr": 142, "zn4zr5si4": 142, "zn4zrn4": 142, "zn5s4se": 142, "zn5se4t": 142, "zn5sse4": 142, "zna": 142, "znas2": 142, "znas2g": 142, "znas2si": 142, "zncl2": 142, "zncn2": 142, "zngen2": 142, "zngep2": 142, "znn2si": 142, "znp2": 142, "znp2si": 142, "znp4": 142, "znps3": 142, "zns2": 142, "znsb": 142, "znse": 142, "znte": 142, "znzr": 142, "znzr2": 142, "znzr3": 142, "znzr3n": 142, "znzrn2": 142, "zone": 147, "zr": 142, "zr10hn8": 142, "zr21s8": 142, "zr24hp8": 142, "zr2as3": 142, "zr2as3s": 142, "zr2n": 142, "zr2n2": 142, "zr2n2se": 142, "zr2p3": 142, "zr2psb": 142, "zr2pte2": 142, "zr2s3se3": 142, "zr2sb": 142, "zr2se": 142, "zr2se3": 142, "zr2si": 142, "zr2te3": 142, "zr3a": 142, "zr3as2": 142, "zr3as5g": 142, "zr3ge": 142, "zr3n2": 142, "zr3n4": 142, "zr3s4": 142, "zr3sb": 142, "zr3se4": 142, "zr3si": 142, "zr3si2": 142, "zr3te": 142, "zr4gesb7": 142, "zr4sb5si3": 142, "zr5assb3": 142, "zr5ge3": 142, "zr5gesb3": 142, "zr5nsi3": 142, "zr5p2te4": 142, "zr5psb3": 142, "zr5s8": 142, "zr5sb3": 142, "zr5sb3se": 142, "zr5sb3si": 142, "zr5si3": 142, "zr5si4": 142, "zr5te4": 142, "zr7p4": 142, "zra": 142, "zras2": 142, "zrasg": 142, "zrassi": 142, "zrcl": 142, "zrcl12se2": 142, "zrcl2": 142, "zrcl3": 142, "zrcl4": 142, "zrclh": 142, "zrcln": 142, "zrge": 142, "zrge2": 142, "zrgesb": 142, "zrgese": 142, "zrgete": 142, "zrgete4": 142, "zrh": 142, "zrh2": 142, "zrn": 142, "zrp": 142, "zrp2": 142, "zrp2s6": 142, "zrs2": 142, "zrs3": 142, "zrsb": 142, "zrsb2": 142, "zrse": 142, "zrse2": 142, "zrse3": 142, "zrsesi": 142, "zrsi": 142, "zrsi2": 142, "zrsite": 142, "zrsse": 142, "zrssi": 142, "zrte": 142, "zrte2": 142, "zrte3": 142, "zrte5": 142, "zsxldmrm3d8": 147, "zulissi": 147, "\u00e5": 139, "\u03b8": 133, "\u03b8_cabd": [93, 133], "\u03d1": 133}, "titles": ["API Reference", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.data_parallel</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.distutils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.flags</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.gp_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.hpo_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.logger</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.registry</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.relaxation.ase_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.relaxation</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.relaxation.ml_relaxation</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.relaxation.optimizers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.relaxation.optimizers.lbfgs_torch</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.transforms</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.tutorial_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.typing</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.common.utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets._utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.ase_datasets</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.embeddings.atomic_radii</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.embeddings.continuous_embeddings</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.embeddings</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.embeddings.khot_embeddings</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.embeddings.qmof_khot_embeddings</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.lmdb_database</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.lmdb_dataset</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.oc22_lmdb_dataset</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.datasets.target_metadata_guesser</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.base</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.dimenet_plus_plus</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.activation</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.drop</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.edge_rot_mat</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.equiformer_v2_oc20</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.gaussian_rbf</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.input_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.layer_norm</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.module_list</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.radial_function</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.so2_ops</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.so3</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.trainers.energy_trainer</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.trainers.forces_trainer</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.trainers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.trainers.lr_scheduler</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.transformer_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.equiformer_v2.wigner</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.escn.escn</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.escn</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.escn.so3</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.gemnet</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.initializers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.atom_update_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.base_layers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.basis_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.efficient</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.embedding_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.interaction_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.radial_basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.layers.spherical_basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet.utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.gemnet</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.initializers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.atom_update_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.base_layers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.basis_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.efficient</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.embedding_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.interaction_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.radial_basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.layers.spherical_basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_gp.utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.gemnet_oc</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.initializers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.interaction_indices</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.atom_update_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.base_layers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.basis_utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.efficient</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.embedding_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.force_scaler</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.interaction_block</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.radial_basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.layers.spherical_basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.gemnet_oc.utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.model_registry</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.painn</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.painn.painn</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.painn.utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.schnet</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.scn</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.scn.sampling</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.scn.scn</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.scn.smearing</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.scn.spherical_harmonics</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.utils.activations</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.utils.basis</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.models.utils</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.evaluator</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.exponential_moving_average</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.loss</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.normalizer</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.scaling.compat</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.scaling.fit</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.scaling</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.scaling.scale_factor</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.scaling.util</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.scheduler</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.modules.transforms</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.preprocessing.atoms_to_graphs</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.preprocessing</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.tasks</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.tasks.task</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.trainers.base_trainer</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.trainers</span></code>", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">ocpmodels.trainers.ocp_trainer</span></code>", "Making and using ASE datasets", "Open Catalyst 2020 (OC20)", "Open Catalyst 2022 (OC22)", "Open Direct Air Capture 2023 (ODAC23)", "Fine tuning a model", "Common gotchas with OCP", "Fast batched inference", "Installation", "Why model atoms for climate?", "License", "Making LMDB Datasets (original format)", "Pretrained model checkpoints", "Model FAQ", "Training and evaluating custom models on OCP datasets", "ocpapi", "Studies that have leveraged OCP models", "Using pre-trained models in ASE", "Notebook execution times", "<code class=\"docutils literal notranslate\"><span class=\"pre\">ocp</span></code> by Open Catalyst Project", "Open Catalyst Project Tutorial Notebook", "OCP Data Preprocessing Tutorial", "OCP Data Visualization", "Legacy [deprecated] Tutorials", "Using OCP to enumerate adsorbates on alloy catalyst surfaces", "Screening catalysts with OCP", "Simple simulations using the OCP ASE calculator", "AdsorbML tutorial", "Advanced OCP usage", "Working with embeddings", "Fine-tuning with Python", "Intro and background on OCP and DFT", "Technical presentations"], "titleterms": {"1": 129, "1min": 147, "2": 129, "2020": [129, 139], "2021": 129, "2022": [130, 139], "2023": [131, 139], "6b": 151, "A": 156, "ASE": [128, 134, 144, 153], "The": [133, 134], "To": 133, "_util": 18, "about": [142, 158], "abstract": 158, "acknowledg": 146, "across": 153, "activ": [33, 106], "ad": 148, "addit": [147, 148], "adsorb": [129, 142, 151, 154], "adsorbml": 154, "adsorpt": [147, 153], "advanc": [138, 142, 155], "air": [131, 139], "all": [142, 151], "alloi": 151, "an": [128, 140, 147, 151], "api": 0, "approv": 142, "ar": 140, "argument": 133, "ase": 142, "ase_dataset": 19, "ase_util": 9, "async": 142, "atom": [133, 136, 142, 147, 148, 149, 156], "atom_update_block": [57, 70, 84], "atomic_radii": 20, "atoms_to_graph": 121, "atomstograph": 138, "attribut": [3, 4, 8, 16, 26, 27, 32, 36, 50, 53, 95, 96, 105, 109, 114, 117, 121], "audienc": 147, "background": [147, 158], "bader": 129, "base": 31, "base_lay": [58, 71, 85], "base_train": 125, "basi": 107, "basis_util": [59, 72, 86], "batch": 134, "best": 147, "boundari": [147, 149], "bulk": [142, 156], "calc": 147, "calcul": [134, 147, 153], "can": 133, "captur": [131, 139], "catalyst": [129, 130, 139, 146, 147, 151, 152], "cell": [147, 149, 153], "chang": 142, "changelog": 129, "charg": [129, 131], "checkpoint": [132, 139, 147, 158], "cite": [129, 130, 131, 142, 146], "class": [1, 3, 4, 7, 8, 9, 13, 14, 17, 19, 25, 26, 27, 28, 31, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 51, 52, 53, 54, 55, 57, 58, 60, 61, 63, 64, 65, 67, 68, 70, 71, 73, 74, 76, 77, 78, 80, 81, 84, 85, 87, 88, 89, 91, 92, 93, 97, 98, 100, 101, 103, 104, 105, 106, 107, 109, 110, 112, 113, 116, 117, 119, 120, 121, 122, 123, 124, 125, 126, 127], "climat": [136, 147], "cluster": 156, "cmd": 147, "co": [138, 148], "code": 157, "command": [141, 147], "common": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 133], "compar": [134, 151], "compat": 114, "comput": 158, "conda": 135, "condit": [147, 149], "config": [141, 147], "configur": [132, 151, 154], "constraint": [147, 149], "content": [1, 2, 3, 4, 5, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 109, 110, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 147, 149], "continuous_embed": 21, "converg": 153, "convert": [142, 148], "correl": 153, "cos\u03c6_cab": 140, "cpu": 135, "creat": [141, 147], "cu": [138, 148, 156], "custom": 141, "data": [129, 130, 138, 140, 146, 147, 148, 149, 157], "data_parallel": 1, "databas": 128, "dataset": [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 128, 129, 138, 141, 147, 148, 158], "ddec": 131, "dedupl": 154, "defin": 147, "deprec": 150, "determinist": 140, "dev": 147, "develop": [135, 147], "dft": 158, "diagnost": 156, "differ": 133, "dimenet_plus_plu": 32, "direct": [131, 139], "discuss": 146, "distutil": 2, "do": 140, "don": 133, "download": [129, 130, 146, 147], "driven": 147, "drop": 34, "dt": 140, "easi": 135, "edg": 147, "edge_rot_mat": 35, "effect": 153, "effici": [60, 73, 87], "efwt": 139, "embed": [20, 21, 22, 23, 24, 147, 156], "embedding_block": [61, 74, 88], "enabl": 135, "energi": [129, 130, 131, 133, 138, 140, 141, 147, 149, 153], "energy_train": 45, "entiti": 133, "enumer": [151, 154], "environ": 158, "equat": 156, "equiformer_v2": [33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50], "equiformer_v2_oc20": 36, "error": 140, "escn": [51, 52, 53], "evalai": 141, "evalu": [109, 141, 146], "exampl": [151, 156], "execut": 145, "exercis": 153, "exponential_moving_averag": 110, "extractor": 138, "factor": 140, "faq": 140, "fast": [134, 135], "featur": 138, "feb": 129, "figur": 151, "file": [128, 132, 138, 141, 154], "fine": [132, 157], "fit": [115, 140], "fix": [147, 149], "flag": 3, "forc": [129, 130, 131, 133, 138, 139, 141, 147, 149], "force_scal": 89, "forces_train": 46, "format": [138, 142], "four": 133, "from": [133, 140, 141], "function": [1, 2, 4, 5, 8, 9, 11, 15, 16, 17, 18, 19, 25, 27, 29, 34, 35, 37, 40, 48, 50, 56, 59, 66, 69, 70, 72, 79, 82, 83, 86, 94, 95, 96, 99, 102, 105, 109, 114, 115, 117, 118, 120], "ga": 133, "gaussian_rbf": 37, "gemnet": [54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 140, 147], "gemnet_gp": [67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79], "gemnet_oc": [80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94], "gener": [138, 147, 148, 149], "get": [133, 135, 141], "goal": 158, "gotcha": 133, "gp_util": 4, "gpu": 135, "have": 143, "how": 140, "hpo_util": 5, "i": [133, 140], "identifi": 133, "impact": 147, "import": 147, "incorpor": 147, "individu": 156, "infer": [134, 135], "info": 148, "inform": [129, 130], "initi": [56, 69, 82, 129, 130, 131, 138, 141, 147], "input": 154, "input_block": 39, "instal": [135, 142, 146], "interact": [138, 147], "interaction_block": [63, 76, 91], "interaction_indic": 83, "intro": 158, "introduct": [151, 158], "is2r": [129, 130, 131, 138, 139, 141, 147], "job": 132, "joint": 141, "khot_embed": 23, "larg": 133, "layer": [57, 58, 59, 60, 61, 62, 63, 64, 65, 70, 71, 72, 73, 74, 75, 76, 77, 78, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 153], "layer_norm": 40, "lbfgs_torch": 13, "least": 133, "legaci": 150, "leverag": 143, "licens": [137, 142, 146], "limit": 147, "line": [141, 147], "literatur": 151, "lmdb": [138, 147], "lmdb_databas": 26, "lmdb_dataset": 27, "load": 147, "logger": 7, "loss": 112, "lr_schedul": 48, "m": 140, "machin": 135, "main": 134, "make": [128, 132, 138, 147, 151], "map": [129, 130], "march": 129, "messag": 147, "metal": 153, "method": 142, "miscellan": 133, "ml": [147, 151, 154], "ml_relax": 11, "model": [31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 132, 133, 135, 136, 139, 140, 141, 142, 143, 144, 146, 147, 158], "model_registri": 96, "modul": [1, 2, 3, 4, 5, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 50, 51, 53, 54, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 69, 70, 71, 72, 73, 74, 76, 77, 78, 79, 80, 82, 83, 84, 85, 86, 87, 88, 89, 91, 92, 93, 94, 96, 98, 99, 100, 102, 103, 104, 105, 106, 107, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 124, 125, 127], "module_list": 41, "molecul": 133, "multi": 128, "my": 140, "name": 147, "need": 133, "next": [147, 153], "normal": [113, 147], "note": 142, "notebook": [133, 145, 147], "number": [147, 149, 153], "object": [142, 147, 148], "obtain": 151, "oc": 140, "oc20": [129, 130, 139, 140, 141, 147], "oc22": [130, 139, 141], "oc22_lmdb_dataset": 28, "ocp": [133, 140, 141, 143, 146, 147, 148, 149, 151, 152, 153, 155, 158], "ocp_train": 127, "ocpapi": 142, "ocpmodel": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127], "oct": 129, "odac23": [131, 139], "onli": [135, 139], "open": [129, 130, 131, 139, 146, 147], "optim": [12, 13, 139], "option": [129, 130, 147, 154], "origin": 138, "other": 142, "out": [140, 151], "outofmemoryerror": 133, "over": 142, "overrid": 141, "overview": 147, "own": 147, "packag": [22, 25, 30, 38, 52, 55, 68, 81, 95, 97, 101, 116, 122, 123, 126], "painn": [97, 98, 99], "paper": 151, "paramet": 141, "pariti": 151, "pars": [151, 154], "pass": 147, "pbc": [147, 149], "per": 129, "period": [147, 149], "persist": 142, "phase": 133, "pip": 135, "plot": [147, 151], "post": [151, 154], "pre": 144, "predict": [140, 141, 147], "prefer": [135, 147], "preprocess": [121, 122, 129, 148], "prerequisit": 147, "present": 159, "pretrain": [139, 146, 147], "process": [151, 154], "profil": 147, "project": [146, 147], "prompt": 142, "py": 134, "python": 157, "qmof_khot_embed": 24, "quickstart": 142, "radial_basi": [64, 77, 92], "radial_funct": 42, "read": [147, 149], "readabl": 128, "refer": [0, 130, 147], "registri": 8, "relax": [9, 10, 11, 12, 13, 129, 130, 131, 138, 141, 142, 147, 148, 151, 153, 154], "report": 151, "repositori": 147, "request": 133, "requir": 147, "resourc": [147, 149], "result": [133, 142, 151], "run": [132, 140, 147, 151, 154, 157], "s2ef": [129, 130, 131, 138, 139, 141, 147], "sampl": [102, 147, 149], "save": [133, 149], "scale": [114, 115, 116, 117, 118, 140], "scale_factor": 117, "schedul": 119, "schnet": 100, "scn": [101, 102, 103, 104, 105], "screen": 152, "search": [142, 156], "self": 140, "septemb": 129, "set": [132, 147, 157], "setup": 157, "should": 140, "simpl": [153, 156], "simul": [133, 153], "singl": [128, 151], "site": 153, "size": 153, "skip": 142, "slab": [151, 154], "slower": 135, "smear": 104, "so2_op": 43, "so3": [44, 53], "softwar": 147, "some": 133, "sph_basi": 140, "spherical_basi": [65, 78, 93, 140], "spherical_harmon": 105, "split": [132, 157], "start": [135, 141], "state": 156, "step": [147, 153], "stochast": 133, "structur": [128, 129, 130, 131, 138, 141, 142, 147, 154], "studi": [143, 153], "submiss": 141, "submodul": [6, 10, 12, 22, 25, 38, 47, 52, 55, 62, 68, 75, 81, 90, 95, 97, 101, 108, 111, 116, 122, 123, 126], "subpackag": [6, 10, 25, 30, 38, 55, 68, 81, 95, 111], "sum": 133, "summari": 153, "support": 142, "surfac": [142, 151], "symbol": [147, 149], "system": [129, 130, 151], "t": [133, 147], "tag": [133, 147, 149], "target": 147, "target_metadata_guess": 29, "task": [123, 124, 129, 130, 131, 147, 157, 158], "technic": 159, "test": [132, 147, 157], "thi": 158, "throw": 140, "time": 145, "toi": [138, 147, 148], "too": 133, "total": [130, 139, 140, 141], "train": [132, 135, 140, 141, 144, 146, 147, 157], "trainer": [45, 46, 47, 48, 125, 126, 127, 133, 147], "trajectori": [129, 130, 147, 149, 151, 154], "transform": [14, 120], "transformer_block": 49, "trend": 153, "triplet": 147, "try": 140, "tune": [132, 157], "tutori": [147, 148, 150, 154, 158], "tutorial_util": 15, "type": [16, 142], "ui": 142, "unabl": 133, "understand": [147, 149], "unit": [147, 149, 153], "unrecogn": 133, "up": 132, "us": [128, 144, 147, 151, 153], "usag": [138, 142, 155], "util": [17, 66, 79, 94, 99, 106, 107, 108, 118], "v": 151, "val": [132, 157], "valid": 147, "valu": 151, "vasp": 154, "vector": 156, "version": 129, "video": [149, 158], "view": [142, 147, 149], "visual": [147, 149], "wai": [134, 147], "walkthrough": 158, "want": 133, "warn": 133, "web": 142, "weight": 146, "what": 140, "why": 136, "wigner": 50, "wildli": 133, "work": [151, 156], "write": [138, 154], "yaml": [132, 141], "you": 133, "your": [133, 147, 148], "zero": 133, "\u03b8_cabd": 140}})
\ No newline at end of file
diff --git a/tutorials/NRR/NRR_example.html b/tutorials/NRR/NRR_example.html
index d0d42a7a4..9552b3409 100644
--- a/tutorials/NRR/NRR_example.html
+++ b/tutorials/NRR/NRR_example.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../_static/copybutton.js?v=f281be69"></script>
@@ -710,7 +710,7 @@ <h2>Work out a single example<a class="headerlink" href="#work-out-a-single-exam
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/607f0166a64aed08effeb0d2f3ff7b746454a1b5da3bc3e6aa9e9da4b8cc81a3.png" src="../../_images/607f0166a64aed08effeb0d2f3ff7b746454a1b5da3bc3e6aa9e9da4b8cc81a3.png" />
+<img alt="../../_images/dff1fbc3de1f6dc1e221f96257bc74db5d1a0965e76810d25d53f2c0c1315fb3.png" src="../../_images/dff1fbc3de1f6dc1e221f96257bc74db5d1a0965e76810d25d53f2c0c1315fb3.png" />
 </div>
 </div>
 <section id="run-an-ml-relaxation">
@@ -728,6 +728,9 @@ <h3>Run an ML relaxation<a class="headerlink" href="#run-an-ml-relaxation" title
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 </pre></div>
@@ -760,52 +763,40 @@ <h3>Run an ML relaxation<a class="headerlink" href="#run-an-ml-relaxation" title
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
-BFGS:    0 23:28:17        0.477448        1.6483
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 23:28:18        0.424099        1.4773
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 23:28:20        0.501018        3.2235
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 23:28:21        0.310378        0.7199
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 23:28:22        0.291162        0.3074
+BFGS:    0 17:00:09        0.620906        0.3817
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 23:28:24        0.285014        0.4345
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 17:00:11        0.607311        0.3629
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 23:28:25        0.279084        0.4730
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 17:00:12        0.532335        0.2369
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 23:28:26        0.243226        0.3165
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 17:00:13        0.529413        0.2020
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 23:28:28        0.243100        0.1573
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 17:00:15        0.517112        0.1047
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 23:28:29        0.244309        0.1305
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 17:00:16        0.515422        0.1019
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 23:28:31        0.243514        0.1673
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 17:00:18        0.514482        0.0995
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 23:28:32        0.238116        0.1953
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 17:00:19        0.515205        0.0999
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 23:28:33        0.229609        0.1543
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 17:00:20        0.513421        0.0980
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 23:28:35        0.226417        0.0564
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 17:00:22        0.511801        0.0819
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 23:28:36        0.226542        0.0216
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 17:00:23        0.507528        0.0410
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time 20.7 seconds
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Elapsed time 15.1 seconds
 </pre></div>
 </div>
 </div>
@@ -935,42 +926,42 @@ <h1>Run all the systems<a class="headerlink" href="#run-all-the-systems" title="
 Running data/oqmd-349719_H/0
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 40.2 seconds for data/oqmd-349719_H/0
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 26.8 seconds for data/oqmd-349719_H/0
 Running data/oqmd-349719_H/1
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 18.6 seconds for data/oqmd-349719_H/1
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 55.8 seconds for data/oqmd-349719_H/1
 Running data/oqmd-349719_H/2
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 13.3 seconds for data/oqmd-349719_H/2
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 16.1 seconds for data/oqmd-349719_H/2
 Running data/oqmd-349719_H/3
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 55.7 seconds for data/oqmd-349719_H/3
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 55.3 seconds for data/oqmd-349719_H/3
 Running data/oqmd-349719_NNH/0
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 127.6 seconds for data/oqmd-349719_NNH/0
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 139.7 seconds for data/oqmd-349719_NNH/0
 Running data/oqmd-349719_NNH/1
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 138.7 seconds for data/oqmd-349719_NNH/1
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 139.0 seconds for data/oqmd-349719_NNH/1
 Running data/oqmd-349719_NNH/2
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 139.6 seconds for data/oqmd-349719_NNH/2
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 114.4 seconds for data/oqmd-349719_NNH/2
 Running data/oqmd-349719_NNH/3
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [11:09&lt;00:00, 669.24s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [11:27&lt;00:00, 687.91s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [11:09&lt;00:00, 669.24s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [11:27&lt;00:00, 687.91s/it]
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 133.9 seconds for data/oqmd-349719_NNH/3
-Elapsed time: 669.2 seconds
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  Elapsed time: 139.3 seconds for data/oqmd-349719_NNH/3
+Elapsed time: 687.9 seconds
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -1161,7 +1152,7 @@ <h1>Make parity plots for values obtained by ML v. reported in the paper<a class
   slope_stderr = np.sqrt((1 - r**2) * ssym / ssxm / df)
 </pre></div>
 </div>
-<img alt="../../_images/870ff688994fc3d778678cdb65ee393783111647d8570539540a9dd6f964dddc.png" src="../../_images/870ff688994fc3d778678cdb65ee393783111647d8570539540a9dd6f964dddc.png" />
+<img alt="../../_images/48b93de6c90cd9cc12e813f797569351dea54e1d152bbc1c37d3d108af52e799.png" src="../../_images/48b93de6c90cd9cc12e813f797569351dea54e1d152bbc1c37d3d108af52e799.png" />
 </div>
 </div>
 </section>
@@ -1215,7 +1206,7 @@ <h1>Make figure 6b and compare to literature results<a class="headerlink" href="
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/79f404471d0a96304761c63c7a1882bf283d1c61c675e293e8320628657e13d3.png" src="../../_images/79f404471d0a96304761c63c7a1882bf283d1c61c675e293e8320628657e13d3.png" />
+<img alt="../../_images/adb891328fabd0a89c888b81b387960f8a0bbbd4cd66ed19728fc7893d09b3bd.png" src="../../_images/adb891328fabd0a89c888b81b387960f8a0bbbd4cd66ed19728fc7893d09b3bd.png" />
 </div>
 </div>
 </section>
diff --git a/tutorials/NRR/NRR_toc.html b/tutorials/NRR/NRR_toc.html
index 4bc9a4443..d844c200e 100644
--- a/tutorials/NRR/NRR_toc.html
+++ b/tutorials/NRR/NRR_toc.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../_static/copybutton.js?v=f281be69"></script>
diff --git a/tutorials/OCP-introduction.html b/tutorials/OCP-introduction.html
index 73a17c194..74db2adbf 100644
--- a/tutorials/OCP-introduction.html
+++ b/tutorials/OCP-introduction.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
@@ -646,6 +646,9 @@ <h1>Calculating adsorption energies<a class="headerlink" href="#calculating-adso
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 </pre></div>
@@ -688,55 +691,55 @@ <h1>Calculating adsorption energies<a class="headerlink" href="#calculating-adso
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
-BFGS:    0 23:39:57        1.213985        1.6309
+BFGS:    0 17:12:02        1.213988        1.6309
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 23:39:57        1.072814        0.9064
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 17:12:02        1.072816        0.9064
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 23:39:58        0.981515        0.6399
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 17:12:03        0.981516        0.6399
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 23:39:59        0.960240        0.6899
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 17:12:04        0.960243        0.6899
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 23:39:59        0.880961        0.5561
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 17:12:04        0.880960        0.5561
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 23:40:00        0.835159        0.3768
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 17:12:05        0.835476        0.3767
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 23:40:01        0.825380        0.4238
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 17:12:06        0.823640        0.4223
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 23:40:01        0.812572        0.5151
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 17:12:06        0.814738        0.5172
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 23:40:02        0.824243        0.8787
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 17:12:07        0.826170        0.8904
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 23:40:03        0.779325        0.3517
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 17:12:08        0.779489        0.3545
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 23:40:03        0.770538        0.1987
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 17:12:08        0.770659        0.2021
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 23:40:04        0.757402        0.1238
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 17:12:09        0.757570        0.1226
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 23:40:05        0.755143        0.1129
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 17:12:10        0.756258        0.1125
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 23:40:06        0.754068        0.1039
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 17:12:10        0.754059        0.1046
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 23:40:06        0.755047        0.0847
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 17:12:11        0.755130        0.0867
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 23:40:07        0.757410        0.0492
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 17:12:12        0.757431        0.0487
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-2.272590010166168
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-2.2725686717033384
 </pre></div>
 </div>
 </div>
@@ -756,7 +759,7 @@ <h1>Calculating adsorption energies<a class="headerlink" href="#calculating-adso
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/1c00a60ec6825804ceaf2cd92498f6edea6a10e85281888a20b9794ce2c728e1.png" src="../_images/1c00a60ec6825804ceaf2cd92498f6edea6a10e85281888a20b9794ce2c728e1.png" />
+<img alt="../_images/8856f2fef112cf2b683e065c74d773c45c49d9abcac65f859abc611f8b1fc759.png" src="../_images/8856f2fef112cf2b683e065c74d773c45c49d9abcac65f859abc611f8b1fc759.png" />
 </div>
 </div>
 <p>How did we do? We need a reference point. In the paper below, there is an atomic adsorption energy for O on Pt(111) of about -4.264 eV. This is for the reaction O + * -&gt; O*. To convert this to the dissociative adsorption energy, we have to add the reaction:</p>
@@ -866,22 +869,22 @@ <h1>Trends in adsorption energies across metals.<a class="headerlink" href="#tre
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
-BFGS:    0 23:40:08        0.720972        0.2180
+BFGS:    0 17:12:13        0.720971        0.2180
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 23:40:09        0.717580        0.1822
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 17:12:14        0.717582        0.1822
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 23:40:09        0.707525        0.0674
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 17:12:14        0.707524        0.0674
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 23:40:10        0.705301        0.0621
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 17:12:15        0.705302        0.0621
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 23:40:10        0.701210        0.0498
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 17:12:16        0.701210        0.0498
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-4.908789799213409
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-4.908790037631988
 </pre></div>
 </div>
 </div>
@@ -944,10 +947,10 @@ <h2>Site correlations<a class="headerlink" href="#site-correlations" title="Link
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.19s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.22s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.20s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.22s/it]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -956,10 +959,10 @@ <h2>Site correlations<a class="headerlink" href="#site-correlations" title="Link
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.81s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.68s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.82s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.68s/it]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -971,10 +974,10 @@ <h2>Site correlations<a class="headerlink" href="#site-correlations" title="Link
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:02&lt;00:00,  2.15s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:02&lt;00:00,  2.23s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:02&lt;00:00,  2.15s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:02&lt;00:00,  2.23s/it]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -983,10 +986,10 @@ <h2>Site correlations<a class="headerlink" href="#site-correlations" title="Link
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.73s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.88s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.73s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.88s/it]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -998,10 +1001,10 @@ <h2>Site correlations<a class="headerlink" href="#site-correlations" title="Link
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.27s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.39s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.27s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.39s/it]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -1010,10 +1013,10 @@ <h2>Site correlations<a class="headerlink" href="#site-correlations" title="Link
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.91s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.77s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.91s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:03&lt;00:00,  3.77s/it]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -1025,10 +1028,10 @@ <h2>Site correlations<a class="headerlink" href="#site-correlations" title="Link
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:02&lt;00:00,  2.68s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:02&lt;00:00,  2.63s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:02&lt;00:00,  2.69s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:02&lt;00:00,  2.63s/it]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -1037,10 +1040,10 @@ <h2>Site correlations<a class="headerlink" href="#site-correlations" title="Link
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.67s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.62s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.67s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.62s/it]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -1052,10 +1055,10 @@ <h2>Site correlations<a class="headerlink" href="#site-correlations" title="Link
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:00&lt;00:00,  2.03it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:00&lt;00:00,  2.01it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:00&lt;00:00,  2.03it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:00&lt;00:00,  2.01it/s]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -1064,10 +1067,10 @@ <h2>Site correlations<a class="headerlink" href="#site-correlations" title="Link
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:00&lt;00:00,  2.07it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:00&lt;00:00,  2.05it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:00&lt;00:00,  2.07it/s]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:00&lt;00:00,  2.05it/s]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -1079,10 +1082,10 @@ <h2>Site correlations<a class="headerlink" href="#site-correlations" title="Link
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.61s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.68s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.61s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.68s/it]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
@@ -1091,16 +1094,16 @@ <h2>Site correlations<a class="headerlink" href="#site-correlations" title="Link
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>  0%|          | 0/1 [00:00&lt;?, ?it/s]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.00s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.03s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.00s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>100%|██████████| 1/1 [00:01&lt;00:00,  1.03s/it]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;Elapsed time = 28.033262729644775 seconds&#39;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&#39;Elapsed time = 28.142574787139893 seconds&#39;
 </pre></div>
 </div>
 </div>
diff --git a/tutorials/adsorbml_walkthrough.html b/tutorials/adsorbml_walkthrough.html
index 26c80dcc5..e6b567a42 100644
--- a/tutorials/adsorbml_walkthrough.html
+++ b/tutorials/adsorbml_walkthrough.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
@@ -662,6 +662,9 @@ <h2>Run ML relaxations:<a class="headerlink" href="#run-ml-relaxations" title="L
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>WARNING:root:Detected old config, converting to new format. Consider updating to avoid potential incompatibilities.
+</pre></div>
+</div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available.  Disabling.
   warnings.warn(
 </pre></div>
@@ -677,701 +680,662 @@ <h2>Run ML relaxations:<a class="headerlink" href="#run-ml-relaxations" title="L
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
-BFGS:    0 23:44:15       -0.385273        1.9034
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 23:44:17       -0.388793        2.3130
+BFGS:    0 17:16:18       -0.314279        1.3483
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 23:44:20       -0.423652        0.8222
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 17:16:21       -0.326945        1.6095
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 23:44:22       -0.451181        0.8067
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 17:16:24       -0.363769        1.1444
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 23:44:25       -0.505308        1.2177
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 17:16:26       -0.487385        0.8604
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 23:44:28       -0.541999        0.2329
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 17:16:29       -0.496435        0.2695
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 23:44:30       -0.542559        0.1822
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 17:16:31       -0.499728        0.1894
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 23:44:33       -0.543607        0.3341
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 17:16:34       -0.507074        0.2228
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 23:44:36       -0.546713        0.3546
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 17:16:37       -0.510538        0.2366
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 23:44:38       -0.552885        0.2670
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 17:16:39       -0.514093        0.1331
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 23:44:41       -0.556035        0.1269
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 17:16:42       -0.516145        0.1023
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 23:44:43       -0.557794        0.1174
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 17:16:44       -0.517546        0.1551
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 23:44:46       -0.558438        0.1777
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 17:16:47       -0.520289        0.1839
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 23:44:49       -0.559684        0.2241
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 17:16:50       -0.522068        0.1240
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 23:44:51       -0.561281        0.1862
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 17:16:52       -0.522444        0.0750
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 23:44:54       -0.561468        0.1576
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 17:16:55       -0.522692        0.0579
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 23:44:56       -0.563355        0.0829
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 17:16:57       -0.521902        0.0616
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 23:44:59       -0.563967        0.0553
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 17:17:00       -0.521902        0.0638
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 23:45:02       -0.564756        0.0758
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 17:17:03       -0.522875        0.0572
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 23:45:04       -0.565873        0.0944
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 17:17:05       -0.523744        0.0519
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 23:45:07       -0.566937        0.0524
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   21 23:45:09       -0.566613        0.0482
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 17:17:08       -0.524056        0.0497
 </pre></div>
 </div>
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
-BFGS:    0 23:45:12       -0.421790        1.8631
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 23:45:15       -0.417559        2.2760
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 23:45:17       -0.451286        0.7574
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 23:45:20       -0.472460        0.7293
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 23:45:22       -0.516148        1.2300
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 23:45:25       -0.546507        0.5352
+BFGS:    0 17:17:10       -0.378206        1.9025
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 23:45:28       -0.550224        0.1913
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 17:17:13       -0.381953        2.3115
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 23:45:30       -0.551118        0.2083
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 17:17:16       -0.417464        0.8322
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 23:45:33       -0.551656        0.3028
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 17:17:18       -0.446864        0.8204
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 23:45:36       -0.554246        0.3125
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 17:17:21       -0.503489        1.2186
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 23:45:38       -0.558398        0.2115
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 17:17:23       -0.541597        0.2489
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 23:45:41       -0.561715        0.0817
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 17:17:26       -0.542035        0.1898
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 23:45:43       -0.562628        0.1287
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 17:17:28       -0.542880        0.2036
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 23:45:46       -0.562828        0.2130
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 17:17:31       -0.545650        0.2915
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 23:45:49       -0.563533        0.2050
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 17:17:34       -0.551138        0.3290
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 23:45:51       -0.563671        0.1541
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 17:17:36       -0.554650        0.2411
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 23:45:54       -0.564311        0.1122
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 17:17:39       -0.557166        0.1155
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 23:45:56       -0.565217        0.0343
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 17:17:41       -0.557593        0.1569
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
-BFGS:    0 23:45:59       -0.225395        1.0801
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 23:46:02       -0.257795        1.4986
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 23:46:04       -0.352847        1.7934
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 23:46:07       -0.434441        1.4851
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 23:46:10       -0.469657        0.6891
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 23:46:12       -0.488371        0.3204
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 17:17:44       -0.558507        0.2124
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 23:46:15       -0.495317        0.2079
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 17:17:47       -0.560791        0.2056
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 23:46:17       -0.496949        0.1966
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 17:17:49       -0.561715        0.2070
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 23:46:20       -0.512831        0.3226
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 17:17:52       -0.563287        0.0808
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 23:46:23       -0.515842        0.2039
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 17:17:55       -0.563810        0.0554
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 23:46:25       -0.518122        0.1125
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 17:17:57       -0.563461        0.0891
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 23:46:28       -0.519580        0.1934
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 17:18:00       -0.564809        0.1261
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 23:46:30       -0.522479        0.2882
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 17:18:02       -0.565799        0.1170
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 23:46:33       -0.525015        0.3072
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   21 17:18:05       -0.566588        0.0476
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 23:46:36       -0.527205        0.2515
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
+BFGS:    0 17:18:07       -0.238447        1.1210
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 23:46:38       -0.527546        0.1555
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 17:18:10       -0.269767        1.4809
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 23:46:41       -0.527618        0.0544
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 17:18:13       -0.368865        1.8443
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 23:46:44       -0.528900        0.1334
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 17:18:15       -0.439638        1.4658
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 23:46:46       -0.530425        0.1374
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 17:18:18       -0.478499        0.6133
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 23:46:49       -0.532563        0.0730
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 17:18:21       -0.495973        0.2803
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 23:46:51       -0.533921        0.0136
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 17:18:23       -0.501669        0.1499
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
-BFGS:    0 23:46:54       -0.336946        1.3237
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 17:18:26       -0.502486        0.1358
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 23:46:57       -0.348126        1.6750
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 17:18:29       -0.516600        0.1405
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 23:46:59       -0.379824        1.0771
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 17:18:31       -0.521441        0.1567
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 23:47:02       -0.493608        0.8563
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 17:18:34       -0.522889        0.0829
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 23:47:04       -0.496242        0.2453
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 17:18:36       -0.526451        0.1917
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 23:47:07       -0.496632        0.2896
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 17:18:39       -0.529097        0.2581
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 23:47:10       -0.498538        0.5109
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 17:18:42       -0.529981        0.1911
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 23:47:12       -0.503504        0.5665
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 17:18:44       -0.529493        0.1056
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 23:47:15       -0.509114        0.3775
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 17:18:47       -0.527811        0.0506
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 23:47:18       -0.513266        0.1272
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 17:18:50       -0.528620        0.0966
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 23:47:20       -0.515592        0.1843
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 17:18:52       -0.531379        0.1485
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 23:47:23       -0.517095        0.3544
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 17:18:55       -0.533375        0.0895
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 23:47:25       -0.516763        0.3016
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 17:18:57       -0.534746        0.0151
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 23:47:28       -0.516922        0.1569
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
+BFGS:    0 17:19:00       -0.437712        1.8577
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 23:47:31       -0.517887        0.0957
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 17:19:03       -0.432793        2.2757
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 23:47:33       -0.519434        0.0797
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 17:19:05       -0.464414        0.7277
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 23:47:36       -0.520147        0.1167
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 17:19:08       -0.483392        0.6864
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 23:47:38       -0.520742        0.1271
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 17:19:10       -0.523191        1.2096
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 23:47:41       -0.522055        0.0967
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 17:19:13       -0.549425        0.6175
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 23:47:44       -0.522311        0.0347
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 17:19:15       -0.552598        0.1933
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
-BFGS:    0 23:47:46       -0.214117        0.9792
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 17:19:18       -0.553629        0.1477
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 23:47:49       -0.232712        0.9890
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 17:19:21       -0.553870        0.2443
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 23:47:51       -0.332095        2.0609
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 17:19:23       -0.556003        0.2661
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 23:47:54       -0.353146        3.1620
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 17:19:26       -0.560211        0.1884
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 23:47:57       -0.415581        0.7819
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 17:19:29       -0.562310        0.0787
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 23:47:59       -0.428986        0.3489
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 17:19:31       -0.562350        0.0865
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 23:48:02       -0.443968        0.4338
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 17:19:34       -0.562813        0.2073
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 23:48:04       -0.456084        0.4626
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 17:19:36       -0.563548        0.2221
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 23:48:07       -0.476238        0.3224
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 17:19:39       -0.565715        0.1338
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 23:48:10       -0.480666        0.2178
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 17:19:42       -0.566155        0.0811
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 23:48:12       -0.482796        0.2617
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 17:19:44       -0.566853        0.0258
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 23:48:15       -0.483183        0.1613
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 23:48:18       -0.485238        0.2516
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
+BFGS:    0 17:19:47       -0.162617        0.7830
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 23:48:20       -0.488411        0.3699
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 17:19:49       -0.179749        0.6765
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 23:48:23       -0.494367        0.2887
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 17:19:52       -0.271123        3.9813
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 23:48:25       -0.499439        0.1724
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 17:19:55       -0.330951        0.6527
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 23:48:28       -0.503282        0.2153
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 17:19:57       -0.370952        0.5756
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 23:48:31       -0.503121        0.2809
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 17:20:00       -0.391597        0.9161
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 23:48:33       -0.505273        0.4074
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 17:20:02       -0.402559        0.4917
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 23:48:36       -0.510288        0.2925
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 17:20:05       -0.425297        0.4923
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 23:48:38       -0.514103        0.0862
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 17:20:08       -0.461578        0.2829
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   21 23:48:41       -0.514731        0.1036
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 17:20:10       -0.462205        0.9167
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   22 23:48:44       -0.515534        0.0914
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 17:20:13       -0.470004        0.3207
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   23 23:48:46       -0.516142        0.1166
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 17:20:15       -0.474994        0.1842
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   24 23:48:49       -0.516862        0.0695
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 17:20:18       -0.484130        0.2493
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   25 23:48:52       -0.515790        0.0677
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 17:20:21       -0.488522        0.1656
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   26 23:48:54       -0.515355        0.0456
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 17:20:23       -0.490525        0.2042
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
-BFGS:    0 23:48:57       -0.255172        1.0973
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 17:20:26       -0.491820        0.2721
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 23:48:59       -0.267088        1.3148
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 17:20:28       -0.495016        0.1706
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 23:49:02       -0.309077        1.3754
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 17:20:31       -0.497451        0.0572
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 23:49:05       -0.227502        3.7478
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 17:20:34       -0.497387        0.0787
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 23:49:07       -0.408026        0.7020
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 17:20:36       -0.497672        0.0937
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 23:49:10       -0.432364        0.3755
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 17:20:39       -0.497697        0.1035
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 23:49:13       -0.446026        0.5010
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   21 17:20:42       -0.496560        0.1013
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 23:49:15       -0.449907        0.4162
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   22 17:20:44       -0.494939        0.0645
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 23:49:18       -0.472079        0.3766
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   23 17:20:47       -0.495382        0.0511
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 23:49:21       -0.482175        0.2650
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   24 17:20:49       -0.495412        0.0618
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 23:49:23       -0.484983        0.2080
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   25 17:20:52       -0.494274        0.0745
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 23:49:26       -0.489540        0.2089
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   26 17:20:55       -0.491994        0.1245
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 23:49:29       -0.494935        0.2563
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   27 17:20:57       -0.492203        0.2179
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 23:49:31       -0.503804        0.2571
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   28 17:21:00       -0.493353        0.1517
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 23:49:34       -0.510081        0.1948
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   29 17:21:03       -0.493030        0.0589
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 23:49:36       -0.512915        0.1571
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   30 17:21:05       -0.493315        0.0717
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 23:49:39       -0.515219        0.1610
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   31 17:21:08       -0.494112        0.1081
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 23:49:42       -0.519784        0.2021
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   32 17:21:11       -0.498009        0.1085
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 23:49:44       -0.525295        0.1784
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   33 17:21:13       -0.496992        0.1031
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 23:49:47       -0.527538        0.1049
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   34 17:21:16       -0.498501        0.0680
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 23:49:49       -0.526621        0.0751
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   35 17:21:19       -0.499299        0.1226
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   21 23:49:52       -0.525974        0.1026
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   36 17:21:21       -0.500829        0.1748
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   22 23:49:55       -0.527327        0.1706
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   37 17:21:24       -0.502838        0.2257
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   23 23:49:57       -0.528690        0.2124
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   38 17:21:27       -0.505447        0.1832
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   24 23:50:00       -0.530603        0.2093
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   39 17:21:29       -0.507045        0.1037
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   25 23:50:03       -0.532032        0.1403
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   40 17:21:32       -0.508046        0.0597
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   26 23:50:05       -0.533670        0.0858
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   41 17:21:35       -0.508881        0.0899
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   27 23:50:08       -0.534634        0.1516
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   42 17:21:37       -0.509831        0.1216
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   28 23:50:10       -0.536203        0.2392
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   43 17:21:40       -0.512332        0.1416
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   29 23:50:13       -0.541574        0.2671
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   44 17:21:42       -0.512151        0.1237
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   30 23:50:16       -0.548306        0.1938
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   45 17:21:45       -0.513281        0.1219
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   31 23:50:18       -0.550218        0.1128
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   46 17:21:47       -0.516038        0.2187
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   32 23:50:21       -0.551443        0.1208
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   47 17:21:50       -0.516747        0.0989
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   33 23:50:23       -0.551260        0.1224
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   48 17:21:53       -0.518681        0.1400
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   34 23:50:26       -0.553854        0.1233
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   49 17:21:55       -0.522530        0.2700
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   35 23:50:29       -0.555804        0.0975
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   50 17:21:58       -0.527941        0.0503
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   36 23:50:31       -0.556268        0.0773
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   51 17:22:01       -0.529013        0.1571
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   37 23:50:34       -0.558275        0.0763
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   52 17:22:03       -0.531583        0.0576
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   38 23:50:37       -0.559335        0.1003
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   53 17:22:06       -0.531162        0.0716
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   39 23:50:39       -0.561021        0.0758
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   54 17:22:08       -0.531427        0.0608
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   40 23:50:42       -0.561478        0.0734
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   55 17:22:11       -0.532436        0.0401
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   41 23:50:44       -0.561629        0.0587
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
+BFGS:    0 17:22:13       -0.316384        1.2008
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   42 23:50:47       -0.561234        0.0448
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 17:22:16       -0.328170        1.4975
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
-BFGS:    0 23:50:50       -0.220966        0.8626
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 17:22:19       -0.365832        1.2701
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 23:50:52       -0.241663        0.9065
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 17:22:21       -0.386388        1.7392
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 23:50:55       -0.383642        2.3555
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 17:22:24       -0.473436        0.4889
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 23:50:58       -0.419855        1.1664
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 17:22:27       -0.487045        0.2610
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 23:51:00       -0.430072        0.8359
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 17:22:29       -0.492246        0.2998
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 23:51:03       -0.434349        0.2821
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 17:22:32       -0.494828        0.3014
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 23:51:06       -0.440345        0.2795
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 17:22:34       -0.507246        0.1747
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 23:51:08       -0.451975        0.6112
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 17:22:37       -0.510282        0.1366
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 23:51:11       -0.459128        0.5875
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 17:22:40       -0.512054        0.1195
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 23:51:14       -0.465246        0.2253
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 17:22:42       -0.514155        0.1386
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 23:51:16       -0.467927        0.1523
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 17:22:45       -0.517905        0.1593
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 23:51:19       -0.471494        0.3535
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 17:22:48       -0.521158        0.1398
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 23:51:22       -0.475163        0.4396
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 17:22:50       -0.522202        0.0730
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 23:51:24       -0.477684        0.3228
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 17:22:53       -0.522710        0.0645
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 23:51:27       -0.478761        0.1819
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 17:22:55       -0.522754        0.0676
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 23:51:29       -0.478740        0.1062
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 17:22:58       -0.523755        0.0527
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 23:51:32       -0.478565        0.2411
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 17:23:01       -0.524070        0.0306
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 23:51:35       -0.479127        0.3944
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
+BFGS:    0 17:23:03       -0.353798        1.3833
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 23:51:37       -0.480440        0.4614
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 17:23:06       -0.358257        1.7410
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 23:51:40       -0.483070        0.3857
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 17:23:09       -0.388870        1.0838
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 23:51:43       -0.482609        0.1807
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 17:23:11       -0.496848        1.3407
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   21 23:51:45       -0.483820        0.2384
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 17:23:14       -0.504791        0.5213
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   22 23:51:48       -0.484935        0.2814
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 17:23:17       -0.504965        0.2225
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   23 23:51:51       -0.487025        0.3939
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 17:23:19       -0.506090        0.3864
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   24 23:51:53       -0.491110        1.1111
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 17:23:22       -0.511376        0.5397
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   25 23:51:56       -0.492640        0.3196
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 17:23:25       -0.516668        0.4109
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   26 23:51:59       -0.496042        0.1429
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 17:23:27       -0.520775        0.1802
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   27 23:52:01       -0.500461        0.3067
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 17:23:30       -0.522567        0.1940
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   28 23:52:04       -0.502556        0.3355
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 17:23:32       -0.524561        0.4269
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   29 23:52:07       -0.507075        0.2547
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 17:23:35       -0.529038        0.5705
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   30 23:52:09       -0.512156        0.1289
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 17:23:38       -0.532225        0.4107
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   31 23:52:12       -0.517744        0.1165
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 17:23:40       -0.532746        0.1621
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   32 23:52:14       -0.519686        0.1570
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 17:23:43       -0.533309        0.1044
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   33 23:52:17       -0.521133        0.1164
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 17:23:46       -0.532772        0.1913
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   34 23:52:20       -0.522163        0.0872
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 17:23:48       -0.533556        0.2569
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   35 23:52:22       -0.522638        0.0871
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 17:23:51       -0.532850        0.2298
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   36 23:52:25       -0.523987        0.0968
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 17:23:53       -0.534451        0.1199
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   37 23:52:28       -0.525652        0.0995
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 17:23:56       -0.534446        0.0829
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   38 23:52:30       -0.526533        0.0894
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   21 17:23:58       -0.534717        0.2935
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   39 23:52:33       -0.525831        0.1221
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   22 17:24:01       -0.535528        0.4560
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   40 23:52:35       -0.527376        0.1774
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   23 17:24:04       -0.537712        0.5942
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   41 23:52:38       -0.528002        0.1993
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   24 17:24:06       -0.542416        0.5410
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   42 23:52:41       -0.528414        0.2098
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   25 17:24:09       -0.545373        0.1554
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   43 23:52:43       -0.530255        0.1543
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   26 17:24:11       -0.546319        0.1468
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   44 23:52:46       -0.528896        0.1381
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   27 17:24:14       -0.547317        0.2940
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   45 23:52:49       -0.529448        0.1888
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   28 17:24:17       -0.550504        0.3749
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   46 23:52:51       -0.530077        0.3882
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   29 17:24:19       -0.555296        0.2536
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   47 23:52:54       -0.535918        0.6416
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   30 17:24:22       -0.559202        0.0751
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   48 23:52:57       -0.544227        0.4152
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   31 17:24:24       -0.559705        0.0932
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   49 23:52:59       -0.549548        0.1162
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   32 17:24:27       -0.560668        0.1739
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   50 23:53:02       -0.550992        0.0888
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   33 17:24:30       -0.563086        0.2336
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   51 23:53:05       -0.550503        0.1263
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   34 17:24:32       -0.564583        0.2062
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   52 23:53:07       -0.551297        0.1411
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   35 17:24:35       -0.567026        0.1012
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   53 23:53:10       -0.553491        0.1341
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   36 17:24:38       -0.567894        0.0438
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   54 23:53:13       -0.555600        0.1012
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
+BFGS:    0 17:24:40       -0.206213        0.9706
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   55 23:53:15       -0.558465        0.0750
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 17:24:43       -0.232795        0.9354
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   56 23:53:18       -0.559772        0.0827
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 17:24:45       -0.407111        2.0599
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   57 23:53:21       -0.560950        0.0987
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 17:24:48       -0.430380        1.3600
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   58 23:53:23       -0.562293        0.1069
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 17:24:51       -0.441540        0.2410
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   59 23:53:26       -0.563725        0.0737
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 17:24:53       -0.446031        0.2365
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   60 23:53:28       -0.563780        0.0442
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 17:24:56       -0.451541        0.3105
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>      Step     Time          Energy         fmax
-BFGS:    0 23:53:31       -0.140931        0.7623
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 17:24:59       -0.461660        0.4015
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    1 23:53:34       -0.167293        1.0996
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 17:25:01       -0.467786        0.2777
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    2 23:53:36       -0.365784        1.5416
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 17:25:04       -0.469911        0.1109
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    3 23:53:39       -0.042859        6.8293
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 17:25:07       -0.471224        0.1882
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    4 23:53:41       -0.408354        0.8542
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 17:25:09       -0.474261        0.3252
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    5 23:53:44       -0.428583        0.5868
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 17:25:12       -0.477767        0.3135
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    6 23:53:46       -0.449264        1.5967
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 17:25:15       -0.479835        0.1909
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    7 23:53:49       -0.463081        0.7710
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 17:25:17       -0.480334        0.0814
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    8 23:53:52       -0.478356        0.3922
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 17:25:20       -0.481932        0.1299
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:    9 23:53:54       -0.507217        0.2060
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 17:25:23       -0.483926        0.2245
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   10 23:53:57       -0.510037        0.4338
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 17:25:25       -0.486472        0.2768
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   11 23:54:00       -0.511450        0.2481
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   18 17:25:28       -0.488877        0.1661
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   12 23:54:02       -0.514950        0.1302
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   19 17:25:30       -0.491119        0.0558
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   13 23:54:05       -0.515782        0.1365
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   20 17:25:33       -0.491923        0.0857
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   14 23:54:08       -0.517234        0.1328
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   21 17:25:36       -0.493323        0.1287
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   15 23:54:10       -0.519668        0.1065
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   22 17:25:38       -0.493921        0.1286
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   16 23:54:13       -0.521899        0.0659
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   23 17:25:41       -0.493278        0.0751
 </pre></div>
 </div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   17 23:54:16       -0.522389        0.0406
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>BFGS:   24 17:25:44       -0.493316        0.0477
 </pre></div>
 </div>
 </div>
@@ -1450,56 +1414,56 @@ <h2>Parse the trajectories and post-process<a class="headerlink" href="#parse-th
       <th>0</th>
       <td>6</td>
       <td>(Atom('Cu', [1.3000465215529733, 2.25174662753...</td>
-      <td>-0.563780</td>
+      <td>-0.567894</td>
       <td>False</td>
     </tr>
     <tr>
       <th>1</th>
       <td>3</td>
       <td>(Atom('Cu', [1.3000465215529733, 2.25174662753...</td>
-      <td>-0.522311</td>
+      <td>-0.566853</td>
       <td>False</td>
     </tr>
     <tr>
       <th>2</th>
       <td>1</td>
       <td>(Atom('Cu', [1.3000465215529733, 2.25174662753...</td>
-      <td>-0.565217</td>
+      <td>-0.566588</td>
       <td>False</td>
     </tr>
     <tr>
       <th>3</th>
       <td>4</td>
       <td>(Atom('Cu', [1.3000465215529733, 2.25174662753...</td>
-      <td>-0.515355</td>
+      <td>-0.532436</td>
       <td>False</td>
     </tr>
     <tr>
       <th>4</th>
       <td>2</td>
       <td>(Atom('Cu', [1.3000465215529733, 2.25174662753...</td>
-      <td>-0.533921</td>
+      <td>-0.534746</td>
       <td>False</td>
     </tr>
     <tr>
       <th>5</th>
       <td>7</td>
       <td>(Atom('Cu', [1.3000465215529733, 2.25174662753...</td>
-      <td>-0.522389</td>
+      <td>-0.493316</td>
       <td>False</td>
     </tr>
     <tr>
       <th>6</th>
       <td>0</td>
       <td>(Atom('Cu', [1.3000465215529733, 2.25174662753...</td>
-      <td>-0.566613</td>
+      <td>-0.524056</td>
       <td>False</td>
     </tr>
     <tr>
       <th>7</th>
       <td>5</td>
       <td>(Atom('Cu', [1.3000465215529733, 2.25174662753...</td>
-      <td>-0.561234</td>
+      <td>-0.524070</td>
       <td>False</td>
     </tr>
   </tbody>
@@ -1616,7 +1580,7 @@ <h2>(Optional) Deduplicate structures<a class="headerlink" href="#optional-dedup
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The lowest 5 energies are: [-0.567 -0.534 -0.522]
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>The lowest 5 energies are: [-0.568 -0.535 -0.524 -0.493]
 </pre></div>
 </div>
 <div class="output text_html"><div>
@@ -1646,27 +1610,35 @@ <h2>(Optional) Deduplicate structures<a class="headerlink" href="#optional-dedup
   </thead>
   <tbody>
     <tr>
-      <th>6</th>
-      <td>6</td>
+      <th>0</th>
       <td>0</td>
+      <td>6</td>
       <td>(Atom('Cu', [1.3000465215529733, 2.25174662753...</td>
-      <td>-0.566613</td>
+      <td>-0.567894</td>
       <td>False</td>
     </tr>
     <tr>
-      <th>1</th>
-      <td>1</td>
-      <td>3</td>
+      <th>4</th>
+      <td>4</td>
+      <td>2</td>
       <td>(Atom('Cu', [1.3000465215529733, 2.25174662753...</td>
-      <td>-0.522311</td>
+      <td>-0.534746</td>
       <td>False</td>
     </tr>
     <tr>
-      <th>4</th>
-      <td>4</td>
-      <td>2</td>
+      <th>5</th>
+      <td>5</td>
+      <td>7</td>
+      <td>(Atom('Cu', [1.3000465215529733, 2.25174662753...</td>
+      <td>-0.493316</td>
+      <td>False</td>
+    </tr>
+    <tr>
+      <th>7</th>
+      <td>7</td>
+      <td>5</td>
       <td>(Atom('Cu', [1.3000465215529733, 2.25174662753...</td>
-      <td>-0.533921</td>
+      <td>-0.524070</td>
       <td>False</td>
     </tr>
   </tbody>
diff --git a/tutorials/advanced/advanced_toc.html b/tutorials/advanced/advanced_toc.html
index d66d3e8e7..c3642944a 100644
--- a/tutorials/advanced/advanced_toc.html
+++ b/tutorials/advanced/advanced_toc.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../_static/copybutton.js?v=f281be69"></script>
diff --git a/tutorials/advanced/embeddings.html b/tutorials/advanced/embeddings.html
index 0103189e9..fdc13c21c 100644
--- a/tutorials/advanced/embeddings.html
+++ b/tutorials/advanced/embeddings.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../_static/copybutton.js?v=f281be69"></script>
diff --git a/tutorials/advanced/fine-tuning-in-python.html b/tutorials/advanced/fine-tuning-in-python.html
index 5f40fb175..bb60e5bf7 100644
--- a/tutorials/advanced/fine-tuning-in-python.html
+++ b/tutorials/advanced/fine-tuning-in-python.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../../_static/doctools.js?v=888ff710"></script>
+    <script src="../../_static/doctools.js?v=9a2dae69"></script>
     <script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../../_static/copybutton.js?v=f281be69"></script>
@@ -619,26 +619,26 @@ <h1>Fine-tuning with Python<a class="headerlink" href="#fine-tuning-with-python"
 </div>
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>id|age|user  |formula|calculator| energy|natoms| fmax|pbc| volume|charge|   mass
- 1|85m|runner|Sn2O4  |unknown   |-41.359|     6|0.045|TTT| 64.258| 0.000|301.416
- 2|85m|runner|Sn2O4  |unknown   |-41.853|     6|0.025|TTT| 66.526| 0.000|301.416
- 3|85m|runner|Sn2O4  |unknown   |-42.199|     6|0.010|TTT| 68.794| 0.000|301.416
- 4|85m|runner|Sn2O4  |unknown   |-42.419|     6|0.006|TTT| 71.062| 0.000|301.416
- 5|85m|runner|Sn2O4  |unknown   |-42.534|     6|0.011|TTT| 73.330| 0.000|301.416
- 6|85m|runner|Sn2O4  |unknown   |-42.562|     6|0.029|TTT| 75.598| 0.000|301.416
- 7|85m|runner|Sn2O4  |unknown   |-42.518|     6|0.033|TTT| 77.866| 0.000|301.416
- 8|85m|runner|Sn2O4  |unknown   |-42.415|     6|0.010|TTT| 80.134| 0.000|301.416
- 9|85m|runner|Sn2O4  |unknown   |-42.266|     6|0.006|TTT| 82.402| 0.000|301.416
-10|85m|runner|Sn2O4  |unknown   |-42.083|     6|0.017|TTT| 84.670| 0.000|301.416
-11|85m|runner|Sn4O8  |unknown   |-81.424|    12|0.012|TTT|117.473| 0.000|602.832
-12|85m|runner|Sn4O8  |unknown   |-82.437|    12|0.005|TTT|121.620| 0.000|602.832
-13|85m|runner|Sn4O8  |unknown   |-83.147|    12|0.015|TTT|125.766| 0.000|602.832
-14|85m|runner|Sn4O8  |unknown   |-83.599|    12|0.047|TTT|129.912| 0.000|602.832
-15|85m|runner|Sn4O8  |unknown   |-83.831|    12|0.081|TTT|134.058| 0.000|602.832
-16|85m|runner|Sn4O8  |unknown   |-83.898|    12|0.001|TTT|138.204| 0.000|602.832
-17|85m|runner|Sn4O8  |unknown   |-83.805|    12|0.001|TTT|142.350| 0.000|602.832
-18|85m|runner|Sn4O8  |unknown   |-83.586|    12|0.002|TTT|146.496| 0.000|602.832
-19|85m|runner|Sn4O8  |unknown   |-83.262|    12|0.002|TTT|150.642| 0.000|602.832
-20|85m|runner|Sn4O8  |unknown   |-82.851|    12|0.013|TTT|154.788| 0.000|602.832
+ 1|58m|runner|Sn2O4  |unknown   |-41.359|     6|0.045|TTT| 64.258| 0.000|301.416
+ 2|58m|runner|Sn2O4  |unknown   |-41.853|     6|0.025|TTT| 66.526| 0.000|301.416
+ 3|58m|runner|Sn2O4  |unknown   |-42.199|     6|0.010|TTT| 68.794| 0.000|301.416
+ 4|58m|runner|Sn2O4  |unknown   |-42.419|     6|0.006|TTT| 71.062| 0.000|301.416
+ 5|58m|runner|Sn2O4  |unknown   |-42.534|     6|0.011|TTT| 73.330| 0.000|301.416
+ 6|58m|runner|Sn2O4  |unknown   |-42.562|     6|0.029|TTT| 75.598| 0.000|301.416
+ 7|58m|runner|Sn2O4  |unknown   |-42.518|     6|0.033|TTT| 77.866| 0.000|301.416
+ 8|58m|runner|Sn2O4  |unknown   |-42.415|     6|0.010|TTT| 80.134| 0.000|301.416
+ 9|58m|runner|Sn2O4  |unknown   |-42.266|     6|0.006|TTT| 82.402| 0.000|301.416
+10|58m|runner|Sn2O4  |unknown   |-42.083|     6|0.017|TTT| 84.670| 0.000|301.416
+11|58m|runner|Sn4O8  |unknown   |-81.424|    12|0.012|TTT|117.473| 0.000|602.832
+12|58m|runner|Sn4O8  |unknown   |-82.437|    12|0.005|TTT|121.620| 0.000|602.832
+13|58m|runner|Sn4O8  |unknown   |-83.147|    12|0.015|TTT|125.766| 0.000|602.832
+14|58m|runner|Sn4O8  |unknown   |-83.599|    12|0.047|TTT|129.912| 0.000|602.832
+15|58m|runner|Sn4O8  |unknown   |-83.831|    12|0.081|TTT|134.058| 0.000|602.832
+16|58m|runner|Sn4O8  |unknown   |-83.898|    12|0.001|TTT|138.204| 0.000|602.832
+17|58m|runner|Sn4O8  |unknown   |-83.805|    12|0.001|TTT|142.350| 0.000|602.832
+18|58m|runner|Sn4O8  |unknown   |-83.586|    12|0.002|TTT|146.496| 0.000|602.832
+19|58m|runner|Sn4O8  |unknown   |-83.262|    12|0.002|TTT|150.642| 0.000|602.832
+20|58m|runner|Sn4O8  |unknown   |-82.851|    12|0.013|TTT|154.788| 0.000|602.832
 Rows: 295 (showing first 20)
 </pre></div>
 </div>
@@ -697,8 +697,8 @@ <h1>Setup the training code<a class="headerlink" href="#setup-the-training-code"
                            <span class="s1">&#39;dataset&#39;</span><span class="p">,</span> <span class="s1">&#39;test_dataset&#39;</span><span class="p">,</span> <span class="s1">&#39;val_dataset&#39;</span><span class="p">],</span>
                    <span class="n">update</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;gpus&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
                            <span class="s1">&#39;task.dataset&#39;</span><span class="p">:</span> <span class="s1">&#39;ase_db&#39;</span><span class="p">,</span>
-                           <span class="s1">&#39;optim.eval_every&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
-                           <span class="s1">&#39;optim.max_epochs&#39;</span><span class="p">:</span> <span class="mi">4</span><span class="p">,</span>
+                           <span class="s1">&#39;optim.eval_every&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">,</span>
+                           <span class="s1">&#39;optim.max_epochs&#39;</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
                            <span class="s1">&#39;optim.batch_size&#39;</span><span class="p">:</span> <span class="mi">4</span><span class="p">,</span>
                            <span class="s1">&#39;logger&#39;</span><span class="p">:</span> <span class="s1">&#39;tensorboard&#39;</span><span class="p">,</span> <span class="c1"># don&#39;t use wandb unless you already are logged in </span>
                            <span class="c1"># Train data</span>
@@ -837,13 +837,13 @@ <h2>Setup the training task<a class="headerlink" href="#setup-the-training-task"
   &#39;ema_decay&#39;: 0.999,
   &#39;energy_coefficient&#39;: 1,
   &#39;eval_batch_size&#39;: 16,
-  &#39;eval_every&#39;: 1,
+  &#39;eval_every&#39;: 10,
   &#39;factor&#39;: 0.8,
   &#39;force_coefficient&#39;: 1,
   &#39;load_balancing&#39;: &#39;atoms&#39;,
   &#39;loss_energy&#39;: &#39;mae&#39;,
   &#39;lr_initial&#39;: 0.0005,
-  &#39;max_epochs&#39;: 4,
+  &#39;max_epochs&#39;: 1,
   &#39;mode&#39;: &#39;min&#39;,
   &#39;num_workers&#39;: 2,
   &#39;optimizer&#39;: &#39;AdamW&#39;,
@@ -932,3328 +932,20 @@ <h1>Run the training task<a class="headerlink" href="#run-the-training-task" tit
   storage = elem.storage()._new_shared(numel)
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.03s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.21s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.23s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.31s/it]
 </pre></div>
 </div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.38s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:02&lt;00:02,  2.82s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:05&lt;00:00,  2.69s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:05&lt;00:00,  2.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/work/ocp/ocp/ocpmodels/trainers/ocp_trainer.py:510: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify &#39;dtype=object&#39; when creating the ndarray.
-  predictions[key] = np.array(predictions[key])
-/home/runner/work/ocp/ocp/ocpmodels/trainers/base_trainer.py:840: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify &#39;dtype=object&#39; when creating the ndarray.
-  np.array(gather_results[k])[idx]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.19s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.49s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.65s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.28s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.51s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.70s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.51s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.60s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.82s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.34s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.46s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.67s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.54s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.64s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.85s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.42s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.56s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.77s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.41s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.60s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.81s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.60s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.61s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.85s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.65s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.60s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.85s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.54s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.57s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.80s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.75s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.98s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.61s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.87s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.73s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.98s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.95s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.75s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.04s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.81s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.66s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.92s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.49s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.67s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.88s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.64s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.70s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.94s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.70s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.98s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.68s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.69s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.95s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.69s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.77s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.01s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  4.00s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.64s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.98s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.64s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.91s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.67s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.75s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.98s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.86s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.03s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.00s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.78s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.64s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.90s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.94s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.79s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.06s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.72s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.69s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.93s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.62s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.68s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.91s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.75s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.01s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.81s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.90s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.75s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.81s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.72s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.99s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.86s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.75s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.81s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.72s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.98s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  5.00s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.03s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.99s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.80s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  4.00s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.97s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.10s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.93s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.10s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.98s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.91s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.19s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.08s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.91s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.20s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.93s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.80s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.07s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.70s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.00s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.80s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.84s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.11s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.89s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.16s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.08s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.89s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.18s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.71s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.98s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.84s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.84s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.11s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.91s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.03s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.82s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.73s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.01s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.97s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.78s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.06s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.98s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.75s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.04s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.93s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.79s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.06s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.77s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.69s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.97s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.00s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.80s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.10s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.97s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.81s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.09s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.93s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.86s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.10s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.99s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.11s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.06s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.12s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.07s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.81s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.11s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.89s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.67s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.98s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.70s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.96s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.95s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.77s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.06s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  5.00s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.04s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.87s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.71s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.99s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.96s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.73s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.77s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.99s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.95s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.77s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.06s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.68s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.71s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.97s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.79s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.77s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.04s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.03s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.92s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.22s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.79s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.10s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.93s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.73s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.00s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.05s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.80s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.69s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.95s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.92s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.80s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.10s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.90s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.75s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.04s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.60s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.72s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.95s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.62s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.66s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.92s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.80s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.82s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.08s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.69s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.00s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.84s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.10s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:03&lt;00:03,  3.73s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.08s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.19s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.59s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.65s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.88s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.82s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.03s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.96s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.80s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.09s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.80s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.71s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.99s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.92s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.78s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.08s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.64s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.67s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.91s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.92s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.78s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.06s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.93s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.72s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.00s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.43s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.58s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.80s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.85s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.91s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.18s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.94s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.24s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.80s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.79s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.06s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.99s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.88s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.17s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.98s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.86s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.16s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.94s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.25s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.81s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.13s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.01s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.92s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.23s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.92s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.71s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.01s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.11s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.15s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.94s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.04s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.93s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.12s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.04s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.03s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.78s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.10s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.06s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.84s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.14s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.95s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.79s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.09s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.06s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.14s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.87s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.73s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.00s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.13s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.88s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.17s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.00s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.81s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.10s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.84s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.73s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.01s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.87s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.14s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.89s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.78s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.05s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.03s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.82s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.14s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.10s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.84s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.15s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.99s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.06s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.26s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.94s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.25s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.14s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.73s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.00s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.97s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.79s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.08s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.67s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.72s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.97s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.82s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.68s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.96s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.91s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.02s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:05&lt;00:05,  5.10s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  3.92s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.23s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.92s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.03s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.88s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.82s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.09s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.89s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.72s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.01s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.93s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.81s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.09s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.71s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.97s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.83s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.74s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.01s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.88s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.76s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:08&lt;00:00,  4.04s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.49s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.60s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.82s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.67s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.69s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.94s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.73s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.67s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.93s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.60s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.71s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.94s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:   0%|          | 0/2 [00:00&lt;?, ?it/s]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
-  storage = elem.storage()._new_shared(numel)
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0:  50%|█████     | 1/2 [00:04&lt;00:04,  4.47s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.64s/it]
-</pre></div>
-</div>
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:07&lt;00:00,  3.85s/it]
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>device 0: 100%|██████████| 2/2 [00:06&lt;00:00,  3.49s/it]
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
 </pre></div>
 </div>
 <div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="gt">---------------------------------------------------------------------------</span>
-<span class="ne">KeyboardInterrupt</span><span class="g g-Whitespace">                         </span>Traceback (most recent call last)
+<span class="ne">TypeError</span><span class="g g-Whitespace">                                 </span>Traceback (most recent call last)
 <span class="n">Cell</span> <span class="n">In</span><span class="p">[</span><span class="mi">9</span><span class="p">],</span> <span class="n">line</span> <span class="mi">6</span>
 <span class="g g-Whitespace">      </span><span class="mi">4</span> <span class="n">trainer</span> <span class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span class="n">trainer</span>
 <span class="g g-Whitespace">      </span><span class="mi">5</span> <span class="n">task</span><span class="o">.</span><span class="n">setup</span><span class="p">(</span><span class="n">trainer</span><span class="p">)</span>
@@ -4268,73 +960,42 @@ <h1>Run the training task<a class="headerlink" href="#run-the-training-task" tit
 <span class="g g-Whitespace">     </span><span class="mi">54</span>     <span class="k">except</span> <span class="ne">RuntimeError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
 <span class="g g-Whitespace">     </span><span class="mi">55</span>         <span class="bp">self</span><span class="o">.</span><span class="n">_process_error</span><span class="p">(</span><span class="n">e</span><span class="p">)</span>
 
-<span class="nn">File ~/work/ocp/ocp/ocpmodels/trainers/ocp_trainer.py:191,</span> in <span class="ni">OCPTrainer.train</span><span class="nt">(self, disable_eval_tqdm)</span>
-<span class="g g-Whitespace">    </span><span class="mi">184</span>     <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">log</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">185</span>         <span class="n">log_dict</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">186</span>         <span class="n">step</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">step</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">187</span>         <span class="n">split</span><span class="o">=</span><span class="s2">&quot;train&quot;</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">188</span>     <span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">190</span> <span class="k">if</span> <span class="n">checkpoint_every</span> <span class="o">!=</span> <span class="o">-</span><span class="mi">1</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">step</span> <span class="o">%</span> <span class="n">checkpoint_every</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">191</span>     <span class="bp">self</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">checkpoint_file</span><span class="o">=</span><span class="s2">&quot;checkpoint.pt&quot;</span><span class="p">,</span> <span class="n">training_state</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">193</span> <span class="c1"># Evaluate on val set every `eval_every` iterations.</span>
-<span class="g g-Whitespace">    </span><span class="mi">194</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">step</span> <span class="o">%</span> <span class="n">eval_every</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
-
-<span class="nn">File ~/work/ocp/ocp/ocpmodels/trainers/base_trainer.py:611,</span> in <span class="ni">BaseTrainer.save</span><span class="nt">(self, metrics, checkpoint_file, training_state)</span>
-<span class="g g-Whitespace">    </span><span class="mi">609</span> <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_debug</span> <span class="ow">and</span> <span class="n">distutils</span><span class="o">.</span><span class="n">is_master</span><span class="p">():</span>
-<span class="g g-Whitespace">    </span><span class="mi">610</span>     <span class="k">if</span> <span class="n">training_state</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">611</span>         <span class="k">return</span> <span class="n">save_checkpoint</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">612</span>             <span class="p">{</span>
-<span class="g g-Whitespace">    </span><span class="mi">613</span>                 <span class="s2">&quot;epoch&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">epoch</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">614</span>                 <span class="s2">&quot;step&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">step</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">615</span>                 <span class="s2">&quot;state_dict&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">state_dict</span><span class="p">(),</span>
-<span class="g g-Whitespace">    </span><span class="mi">616</span>                 <span class="s2">&quot;optimizer&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">state_dict</span><span class="p">(),</span>
-<span class="g g-Whitespace">    </span><span class="mi">617</span>                 <span class="s2">&quot;scheduler&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">scheduler</span><span class="o">.</span><span class="n">scheduler</span><span class="o">.</span><span class="n">state_dict</span><span class="p">()</span>
-<span class="g g-Whitespace">    </span><span class="mi">618</span>                 <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">scheduler</span><span class="o">.</span><span class="n">scheduler_type</span> <span class="o">!=</span> <span class="s2">&quot;Null&quot;</span>
-<span class="g g-Whitespace">    </span><span class="mi">619</span>                 <span class="k">else</span> <span class="kc">None</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">620</span>                 <span class="s2">&quot;normalizers&quot;</span><span class="p">:</span> <span class="p">{</span>
-<span class="g g-Whitespace">    </span><span class="mi">621</span>                     <span class="n">key</span><span class="p">:</span> <span class="n">value</span><span class="o">.</span><span class="n">state_dict</span><span class="p">()</span>
-<span class="nn">    622                     for key, value</span> in <span class="ni">self.normalizers.items</span><span class="nt">()</span>
-<span class="g g-Whitespace">    </span><span class="mi">623</span>                 <span class="p">},</span>
-<span class="g g-Whitespace">    </span><span class="mi">624</span>                 <span class="s2">&quot;config&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">625</span>                 <span class="s2">&quot;val_metrics&quot;</span><span class="p">:</span> <span class="n">metrics</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">626</span>                 <span class="s2">&quot;ema&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">ema</span><span class="o">.</span><span class="n">state_dict</span><span class="p">()</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">ema</span> <span class="k">else</span> <span class="kc">None</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">627</span>                 <span class="s2">&quot;amp&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">scaler</span><span class="o">.</span><span class="n">state_dict</span><span class="p">()</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">scaler</span> <span class="k">else</span> <span class="kc">None</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">628</span>                 <span class="s2">&quot;best_val_metric&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">best_val_metric</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">629</span>                 <span class="s2">&quot;primary_metric&quot;</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">evaluation_metrics</span><span class="o">.</span><span class="n">get</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">630</span>                     <span class="s2">&quot;primary_metric&quot;</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">631</span>                     <span class="bp">self</span><span class="o">.</span><span class="n">evaluator</span><span class="o">.</span><span class="n">task_primary_metric</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">name</span><span class="p">],</span>
-<span class="g g-Whitespace">    </span><span class="mi">632</span>                 <span class="p">),</span>
-<span class="g g-Whitespace">    </span><span class="mi">633</span>             <span class="p">},</span>
-<span class="g g-Whitespace">    </span><span class="mi">634</span>             <span class="n">checkpoint_dir</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="p">[</span><span class="s2">&quot;cmd&quot;</span><span class="p">][</span><span class="s2">&quot;checkpoint_dir&quot;</span><span class="p">],</span>
-<span class="g g-Whitespace">    </span><span class="mi">635</span>             <span class="n">checkpoint_file</span><span class="o">=</span><span class="n">checkpoint_file</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">636</span>         <span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">637</span>     <span class="k">else</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">638</span>         <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">ema</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
-
-<span class="nn">File ~/work/ocp/ocp/ocpmodels/common/utils.py:67,</span> in <span class="ni">save_checkpoint</span><span class="nt">(state, checkpoint_dir, checkpoint_file)</span>
-<span class="g g-Whitespace">     </span><span class="mi">61</span> <span class="k">def</span> <span class="nf">save_checkpoint</span><span class="p">(</span>
-<span class="g g-Whitespace">     </span><span class="mi">62</span>     <span class="n">state</span><span class="p">,</span>
-<span class="g g-Whitespace">     </span><span class="mi">63</span>     <span class="n">checkpoint_dir</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">&quot;checkpoints/&quot;</span><span class="p">,</span>
-<span class="g g-Whitespace">     </span><span class="mi">64</span>     <span class="n">checkpoint_file</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">&quot;checkpoint.pt&quot;</span><span class="p">,</span>
-<span class="g g-Whitespace">     </span><span class="mi">65</span> <span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">str</span><span class="p">:</span>
-<span class="g g-Whitespace">     </span><span class="mi">66</span>     <span class="n">filename</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">checkpoint_dir</span><span class="p">,</span> <span class="n">checkpoint_file</span><span class="p">)</span>
-<span class="ne">---&gt; </span><span class="mi">67</span>     <span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">state</span><span class="p">,</span> <span class="n">filename</span><span class="p">)</span>
-<span class="g g-Whitespace">     </span><span class="mi">68</span>     <span class="k">return</span> <span class="n">filename</span>
-
-<span class="nn">File /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/serialization.py:628,</span> in <span class="ni">save</span><span class="nt">(obj, f, pickle_module, pickle_protocol, _use_new_zipfile_serialization, _disable_byteorder_record)</span>
-<span class="g g-Whitespace">    </span><span class="mi">625</span> <span class="n">_check_save_filelike</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">627</span> <span class="k">if</span> <span class="n">_use_new_zipfile_serialization</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">628</span>     <span class="k">with</span> <span class="n">_open_zipfile_writer</span><span class="p">(</span><span class="n">f</span><span class="p">)</span> <span class="k">as</span> <span class="n">opened_zipfile</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">629</span>         <span class="n">_save</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">opened_zipfile</span><span class="p">,</span> <span class="n">pickle_module</span><span class="p">,</span> <span class="n">pickle_protocol</span><span class="p">,</span> <span class="n">_disable_byteorder_record</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">630</span>         <span class="k">return</span>
-
-<span class="nn">File /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/serialization.py:476,</span> in <span class="ni">_open_zipfile_writer_file.__exit__</span><span class="nt">(self, *args)</span>
-<span class="g g-Whitespace">    </span><span class="mi">475</span> <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">476</span>     <span class="bp">self</span><span class="o">.</span><span class="n">file_like</span><span class="o">.</span><span class="n">write_end_of_file</span><span class="p">()</span>
-<span class="g g-Whitespace">    </span><span class="mi">477</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">file_stream</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">478</span>         <span class="bp">self</span><span class="o">.</span><span class="n">file_stream</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
-
-<span class="ne">KeyboardInterrupt</span>: 
+<span class="nn">File ~/work/ocp/ocp/ocpmodels/trainers/ocp_trainer.py:200,</span> in <span class="ni">OCPTrainer.train</span><span class="nt">(self, disable_eval_tqdm)</span>
+<span class="g g-Whitespace">    </span><span class="mi">195</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">val_loader</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">196</span>     <span class="n">val_metrics</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">validate</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">197</span>         <span class="n">split</span><span class="o">=</span><span class="s2">&quot;val&quot;</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">198</span>         <span class="n">disable_tqdm</span><span class="o">=</span><span class="n">disable_eval_tqdm</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">199</span>     <span class="p">)</span>
+<span class="ne">--&gt; </span><span class="mi">200</span>     <span class="bp">self</span><span class="o">.</span><span class="n">update_best</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">201</span>         <span class="n">primary_metric</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">202</span>         <span class="n">val_metrics</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">203</span>         <span class="n">disable_eval_tqdm</span><span class="o">=</span><span class="n">disable_eval_tqdm</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">204</span>     <span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">206</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="p">[</span><span class="s2">&quot;task&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;eval_relaxations&quot;</span><span class="p">,</span> <span class="kc">False</span><span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">207</span>     <span class="k">if</span> <span class="s2">&quot;relax_dataset&quot;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="p">[</span><span class="s2">&quot;task&quot;</span><span class="p">]:</span>
+
+<span class="nn">File ~/work/ocp/ocp/ocpmodels/trainers/base_trainer.py:667,</span> in <span class="ni">BaseTrainer.update_best</span><span class="nt">(self, primary_metric, val_metrics, disable_eval_tqdm)</span>
+<span class="g g-Whitespace">    </span><span class="mi">660</span> <span class="k">def</span> <span class="nf">update_best</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">661</span>     <span class="bp">self</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">662</span>     <span class="n">primary_metric</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">663</span>     <span class="n">val_metrics</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">664</span>     <span class="n">disable_eval_tqdm</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">665</span> <span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">666</span>     <span class="k">if</span> <span class="p">(</span>
+<span class="ne">--&gt; </span><span class="mi">667</span>         <span class="s2">&quot;mae&quot;</span> <span class="ow">in</span> <span class="n">primary_metric</span>
+<span class="g g-Whitespace">    </span><span class="mi">668</span>         <span class="ow">and</span> <span class="n">val_metrics</span><span class="p">[</span><span class="n">primary_metric</span><span class="p">][</span><span class="s2">&quot;metric&quot;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">best_val_metric</span>
+<span class="g g-Whitespace">    </span><span class="mi">669</span>     <span class="p">)</span> <span class="ow">or</span> <span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">670</span>         <span class="s2">&quot;mae&quot;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">primary_metric</span>
+<span class="g g-Whitespace">    </span><span class="mi">671</span>         <span class="ow">and</span> <span class="n">val_metrics</span><span class="p">[</span><span class="n">primary_metric</span><span class="p">][</span><span class="s2">&quot;metric&quot;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">best_val_metric</span>
+<span class="g g-Whitespace">    </span><span class="mi">672</span>     <span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">673</span>         <span class="bp">self</span><span class="o">.</span><span class="n">best_val_metric</span> <span class="o">=</span> <span class="n">val_metrics</span><span class="p">[</span><span class="n">primary_metric</span><span class="p">][</span><span class="s2">&quot;metric&quot;</span><span class="p">]</span>
+<span class="g g-Whitespace">    </span><span class="mi">674</span>         <span class="bp">self</span><span class="o">.</span><span class="n">save</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">675</span>             <span class="n">metrics</span><span class="o">=</span><span class="n">val_metrics</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">676</span>             <span class="n">checkpoint_file</span><span class="o">=</span><span class="s2">&quot;best_checkpoint.pt&quot;</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">677</span>             <span class="n">training_state</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">678</span>         <span class="p">)</span>
+
+<span class="ne">TypeError</span>: argument of type &#39;NoneType&#39; is not iterable
 </pre></div>
 </div>
 </div>
diff --git a/tutorials/intro.html b/tutorials/intro.html
index 4e548cec7..5c6e59baf 100644
--- a/tutorials/intro.html
+++ b/tutorials/intro.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>
@@ -662,7 +662,7 @@ <h1>About the compute environment<a class="headerlink" href="#about-the-compute-
 <div class="cell_output docutils container">
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.11.9/x64/bin/python 3.11.9 (main, Apr  2 2024, 15:19:53) [GCC 11.4.0]
 ocp is installed at /home/runner/work/ocp/ocp
-ocp repo is at git commit: 46df531
+ocp repo is at git commit: 3edcf80
 numba: 0.59.1
 numpy: 1.23.5
 ase: 3.22.1
@@ -675,9 +675,9 @@ <h1>About the compute environment<a class="headerlink" href="#about-the-compute-
 
 Platform: Linux-6.5.0-1018-azure-x86_64-with-glibc2.35
   Processor: x86_64
-  Virtual memory: svmem(total=16757346304, available=14805020672, percent=11.7, used=1573117952, free=13703266304, active=912719872, inactive=1654480896, buffers=22343680, cached=1458618368, shared=15974400, slab=279277568)
-  Swap memory: sswap(total=4294963200, used=267395072, free=4027568128, percent=6.2, sin=41222144, sout=286040064)
-  Disk usage: sdiskusage(total=77851254784, used=69175021568, free=8659456000, percent=88.9)
+  Virtual memory: svmem(total=16757346304, available=14569668608, percent=13.1, used=1765392384, free=12687323136, active=1376759808, inactive=2180767744, buffers=34123776, cached=2270507008, shared=25518080, slab=316727296)
+  Swap memory: sswap(total=4294963200, used=47722496, free=4247240704, percent=1.1, sin=61440, sout=46948352)
+  Disk usage: sdiskusage(total=77851254784, used=68861968384, free=8972509184, percent=88.5)
 </pre></div>
 </div>
 </div>
diff --git a/videos/technical_talks.html b/videos/technical_talks.html
index 0755dbaea..421169143 100644
--- a/videos/technical_talks.html
+++ b/videos/technical_talks.html
@@ -34,7 +34,7 @@
     <link rel="stylesheet" type="text/css" href="../_static/copybutton.css?v=76b2166b" />
     <link rel="stylesheet" type="text/css" href="../_static/mystnb.4510f1fc1dee50b3e5859aac5469c37c29e427902b24a333a5f9fcb2f0b3ac41.css" />
     <link rel="stylesheet" type="text/css" href="../_static/sphinx-thebe.css?v=4fa983c6" />
-    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=eafc0fe6" />
+    <link rel="stylesheet" type="text/css" href="../_static/graphviz.css?v=fd3f3429" />
     <link rel="stylesheet" type="text/css" href="../_static/design-style.1e8bd061cd6da7fc9cf755528e8ffc24.min.css?v=0a3b3ea7" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
@@ -43,7 +43,7 @@
   <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script src="../_static/documentation_options.js?v=9eb32ce0"></script>
-    <script src="../_static/doctools.js?v=888ff710"></script>
+    <script src="../_static/doctools.js?v=9a2dae69"></script>
     <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../_static/clipboard.min.js?v=a7894cd8"></script>
     <script src="../_static/copybutton.js?v=f281be69"></script>