From 297b70625ab139889ad49e6699a1663b47199405 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Alexandre=20D=C3=A9fossez?= Date: Wed, 18 Sep 2024 12:13:43 +0200 Subject: [PATCH 01/24] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index cd774ba..dda1800 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,11 @@ -# Moshi: a speech-text fundation model for real time dialogue +# Moshi: a speech-text foundation model for real time dialogue ![precommit badge](https://github.com/kyutai-labs/moshi/workflows/precommit/badge.svg) ![rust ci badge](https://github.com/kyutai-labs/moshi/workflows/Rust%20CI/badge.svg) [Moshi][moshi] is a speech-text foundation model and **full-duplex** spoken dialogue framework. - It uses [Mimi][moshi], a state-of-the-art streaming neural audio codec. Mimi operates at 12.5 Hz, and compresses - audio down to 1.1 kbps, in a fully streaming manner (latency of 80ms, the frame size), + It uses [Mimi][moshi], a state-of-the-art streaming neural audio codec. Mimi processes 24 kHz audio, down to a 12.5 Hz representation + with a bandwidth of 1.1 kbps, in a fully streaming manner (latency of 80ms, the frame size), yet performs better than existing, non-streaming, codec like [SpeechTokenizer](https://github.com/ZhangXInFD/SpeechTokenizer) (50 Hz, 4 kbps), or [SemantiCodec](https://github.com/haoheliu/SemantiCodec-inference) (50 Hz, 1kbps). From e5077717cfad37431db62f56b7e4917c2672129c Mon Sep 17 00:00:00 2001 From: Manu Orsini <166398341+manukyutai@users.noreply.github.com> Date: Wed, 18 Sep 2024 12:21:29 +0200 Subject: [PATCH 02/24] Update README.md --- moshi/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/moshi/README.md b/moshi/README.md index 03b8527..6b66319 100644 --- a/moshi/README.md +++ b/moshi/README.md @@ -68,7 +68,7 @@ from moshi.models import loaders mimi_weight = hf_hub_download(loaders.DEFAULT_REPO, loaders.MIMI_NAME) mimi = loaders.get_mimi(mimi_weight, device='cpu') -mimi.set_num_codebooks(8) # up to 32. +mimi.set_num_codebooks(8) # up to 32 for mimi, but limited to 8 for moshi. wav = torch.randn(1, 1, 24000 * 10) # should be [B, C=1, T] with torch.no_grad(): From 043560734231fbdd03f7c66afff696f2b72fa85c Mon Sep 17 00:00:00 2001 From: amelie Date: Wed, 18 Sep 2024 12:43:34 +0200 Subject: [PATCH 03/24] typos review --- CONTRIBUTING.md | 6 ++-- README.md | 62 ++++++++++++++++++-------------------- moshi/README.md | 6 ++-- moshi_mlx/README.md | 4 +-- scripts/moshi_benchmark.py | 2 +- scripts/test_mimi.py | 4 +-- 6 files changed, 39 insertions(+), 45 deletions(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index af18af5..40022a1 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -4,14 +4,14 @@ Moshi is the implementation of a research paper. Therefore, we do not plan on accepting many pull requests for new features. -We certainly welcome them for bug fixes. +However, we certainly welcome them for bug fixes. 1. Fork the repo and create your branch from `main`. -2. If you've changed APIs, update the documentation. +2. If you have changed APIs, update the documentation accordingly. 3. Ensure pre-commit hooks pass properly, in particular the linting and typing. 4. Accept the Contributor License Agreement (see after). -Note that in general we will not accept refactoring of the code. +Note that in general, we will not accept refactoring of the code. ## Contributor License Agreement ("CLA") diff --git a/README.md b/README.md index dda1800..edfa250 100644 --- a/README.md +++ b/README.md @@ -9,19 +9,17 @@ yet performs better than existing, non-streaming, codec like [SpeechTokenizer](https://github.com/ZhangXInFD/SpeechTokenizer) (50 Hz, 4 kbps), or [SemantiCodec](https://github.com/haoheliu/SemantiCodec-inference) (50 Hz, 1kbps). - Moshi models **two streams of audio**: one corresponds to Moshi, and one to the user. + Moshi models **two streams of audio**: one corresponds to Moshi, and the other one to the user. At inference, the stream from the user is taken from the audio input, -and the one for Moshi is sampled from. Along that, Moshi predicts text tokens corresponding to its own speech, its **inner monologue**, -which greatly improves the quality of its generation. A small depth transformer models inter codebook dependencies for a given step, +and the one for Moshi is sampled from the model's output. Along these two audio streams, Moshi predicts text tokens corresponding to its own speech, its **inner monologue**, +which greatly improves the quality of its generation. A small Depth Transformer models inter codebook dependencies for a given step, while a large, 7B parameter Transformer models the temporal dependencies. Moshi achieves a theoretical latency of 160ms (80ms for the frame size of Mimi + 80ms of acoustic delay), with a practical overall latency as low as 200ms. [Talk to Moshi](https://moshi.chat) now on our live demo.

-Schema representing the structure Moshi. Moshi models two streams of audio:
-    one corresponds to Moshi, and one to the user. At inference, the one from the user is taken from the audio input,
-    and the one for Moshi is sampled from. Along that, Moshi predicts text tokens corresponding to its own speech
-    for improved accuracy. A small depth transformer models inter codebook dependencies for a given step.

Mimi builds on previous neural audio codecs such as [SoundStream](https://arxiv.org/abs/2107.03312) @@ -32,23 +30,21 @@ Similarly to SpeechTokenizer, Mimi uses a distillation loss so that the first co a self-supervised representation from [WavLM](https://arxiv.org/abs/2110.13900). Interestingly, while Mimi is fully causal and streaming, it learns to match sufficiently well the non causal representation from WavLM, without introducing any delays. Finally, and similary to [EBEN](https://arxiv.org/pdf/2210.14090), Mimi -uses **only an adversarial training loss**, along with feature matching, showing strong improvements in terms of subjective quality -despite its low bitrate. +uses **only an adversarial training loss**, along with feature matching, showing strong improvements in terms of subjective quality despite its low bitrate.

-Schema representing the structure Moshi. Moshi models two streams of audio:
-    one corresponds to Moshi, and one to the user. At inference, the one from the user is taken from the audio input,
-    and the one for Moshi is sampled from. Along that, Moshi predicts text tokens corresponding to its own speech
-    for improved accuracy. A small depth transformer models inter codebook dependencies for a given step.

## Organisation of the repository There are three separate versions of the moshi inference stack in this repo. -- The python version using PyTorch is in the [`moshi/`](moshi/) directory. -- The python version using MLX for M series Macs is in the [`moshi_mlx/`](moshi_mlx/) directory. -- The rust version used in production is in the [`rust/`](rust/) directory. +- The Python version using PyTorch is in the [`moshi/`](moshi/) directory. +- The Python version using MLX for M series Macs is in the [`moshi_mlx/`](moshi_mlx/) directory. +- The Rust version used in production is in the [`rust/`](rust/) directory. This contains in particular a Mimi implementation in Rust, with Python bindings available as `rustymimi`. @@ -63,7 +59,7 @@ We release three models: - Moshi fine-tuned on a female synthetic voice (Moshika). Depending on the backend, the file format and quantization available will vary. Here is the list -of the HuggingFace repo with each model. Mimi is bundled in any of those, and always use the same checkpoint format. +of the HuggingFace repo with each model. Mimi is bundled in each of those, and always use the same checkpoint format. - Moshika for PyTorch (bf16): [kmhf/moshika-pytorch-bf16](https://huggingface.co/kmhf/moshika-pytorch-bf16). - Moshiko for PyTorch (bf16): [kmhf/moshiko-pytorch-bf16](https://huggingface.co/kmhf/moshiko-pytorch-bf16). @@ -88,10 +84,10 @@ pip install rustymimi # mimi, rust implementation with Python bindings from PyP ``` While we hope that the present codebase will work on Windows, we do not provide official support for it. -We have tested the MLX version with MacBook Pro M3. At the moment, we do not support quantization +We have tested the MLX version on a MacBook Pro M3. At the moment, we do not support quantization for the PyTorch version, so you will need a GPU with a significant amount of memory (24GB). -For using the rust backend, you will need a recent version of the [Rust toolchain](https://rustup.rs/). +For using the Rust backend, you will need a recent version of the [Rust toolchain](https://rustup.rs/). To compile GPU support, you will also need the [CUDA](https://developer.nvidia.com/cuda-toolkit) properly installed for your GPU, in particular with `nvcc`. ## Development @@ -126,12 +122,12 @@ python -m moshi.server [--gradio-tunnel] [--hf-repo kmhf/moshika-pytorch-bf16] And then access the web UI on [localhost:8998](http://localhost:8998). If your GPU is on a distant machine with no direct access, `--gradio-tunnel` will create a tunnel with a URL accessible from anywhere. Keep in mind that this tunnel goes through the US and can add significant latency (up to 500ms from Europe). -You can use `--gradio-tunnel-token` to set a fixed secret and reuse the same address over time. +You can use `--gradio-tunnel-token` to set a fixed secret token and reuse the same address over time. Alternatively, you might want to use SSH to redirect your connection. You can use `--hf-repo` to select a different pretrained model, by setting the proper Hugging Face repository. -Accessing a server that is not localhost via http may cause issues around using +Accessing a server that is not localhost via http may cause issues with using the microphone in the web UI (in some browsers this is only allowed using https). @@ -139,7 +135,7 @@ A local client is also available, as ```bash python -m moshi.client [--url URL_TO_GRADIO] ``` -However note, that unlike the web browser, this client is bare bone. It doesn't do any echo cancellation, +However note that, unlike the web browser, this client is barebone: It does not perform any echo cancellation, nor does it try to compensate for a growing lag by skipping frames. For more information, in particular on how to use the API directly, please @@ -157,15 +153,15 @@ python -m moshi_mlx.local -q 8 --hf-repo kmhf/moshika-mlx-q8 # be careful to always match the `-q` and `--hf-repo` flag. ``` -This uses a command line interface, which is bare bone. It doesn't do any echo cancellation, +This command line interface is also barebone. It does not perform any echo cancellation, nor does it try to compensate for a growing lag by skipping frames. -Alternatively you can use `python -m moshi_mlx.local_web` to use -the web UI, connection is via http on [localhost:8998](http://localhost:8998). +Alternatively you can run `python -m moshi_mlx.local_web` to use +the web UI, the connection is via http and will be at [localhost:8998](http://localhost:8998). ## Rust -In order to run the rust inference server, use the following command from within +In order to run the Rust inference server, use the following command from within the `rust` directory: ```bash @@ -175,22 +171,22 @@ cargo run --features cuda --bin moshi-backend -r -- --config moshi-backend/confi When using macOS, you can replace `--features cuda` with `--features metal`. Alternatively you can use `config-q8.json` rather than `config.json` to use the -quantified q8 model. You can select a different pretrained model, e.g. Moshika, +quantized q8 model. You can select a different pretrained model, e.g. Moshika, by changing the `"hf_repo"` key in either file. Once the server has printed 'standalone worker listening', you can use the web -UI. By default the rust version uses https so it will be at +UI. By default the Rust server uses https so it will be at [localhost:8998](https://localhost:8998). -You will get some warnings about the site being unsafe. When using chrome you -can bypass it by selecting "Details" or "Advanced", then "Visit this unsafe +You will get warnings about the site being unsafe. When using chrome you +can bypass these by selecting "Details" or "Advanced", then "Visit this unsafe site" or "Proceed to localhost (unsafe)". ## Clients -We recommend using the web UI as it provides some echo cancellation that helps -the overall model quality. Alternatively we provide some command line interfaces -for the rust and python versions, the protocol is the same as with the web UI so +We recommend using the web UI as it provides additional echo cancellation that helps +the overall model quality. Alternatively, we provide command line interfaces +for the Rust and Python versions, the protocol is the same as with the web UI so there is nothing to change on the server side. ### Rust Command Line diff --git a/moshi/README.md b/moshi/README.md index 03b8527..5c14665 100644 --- a/moshi/README.md +++ b/moshi/README.md @@ -40,12 +40,12 @@ python -m moshi.server [--gradio-tunnel] And then access the web UI on [localhost:8998](http://localhost:8998). If your GPU is on a distant machine with no direct access, `--gradio-tunnel` will create a tunnel with a URL accessible from anywhere. Keep in mind that this tunnel goes through the US and can add significant latency (up to 500ms from Europe). -You can use `--gradio-tunnel-token` to set a fixed secret and reuse the same address over time. +You can use `--gradio-tunnel-token` to set a fixed secret token and reuse the same address over time. Alternatively, you might want to use SSH to redirect your connection. You can use `--hf-repo` to select a different pretrained model, by setting the proper Hugging Face repository. -Accessing a server that is not localhost via http may cause issues around using +Accessing a server that is not localhost via http may cause issues with using the microphone in the web UI (in some browsers this is only allowed using https). @@ -53,7 +53,7 @@ A local client is also available, as ```bash python -m moshi.client [--url URL_TO_GRADIO] ``` -However note, that unlike the web browser, this client is bare bone. It doesn't do any echo cancellation, +However note, that unlike the web browser, this client is barebone. It does not perform any echo cancellation, nor does it try to compensate for a growing lag by skipping frames. diff --git a/moshi_mlx/README.md b/moshi_mlx/README.md index 73dca2c..7e479b6 100644 --- a/moshi_mlx/README.md +++ b/moshi_mlx/README.md @@ -29,11 +29,11 @@ python -m moshi_mlx.local -q 4 # weights quantized to 4 bits python -m moshi_mlx.local -q 8 # weights quantized to 8 bits ``` -This uses a command line interface, which is bare bone. It doesn't do any echo cancellation, +This uses a command line interface, which is barebone. It does not perform any echo cancellation, nor does it try to compensate for a growing lag by skipping frames. Alternatively you can use `python -m moshi_mlx.local_web` to use -the web UI, connection is via http on [localhost:8998](http://localhost:8998). +the web UI, the connection is via http, at [localhost:8998](http://localhost:8998). ## License diff --git a/scripts/moshi_benchmark.py b/scripts/moshi_benchmark.py index a70b984..081e9d0 100644 --- a/scripts/moshi_benchmark.py +++ b/scripts/moshi_benchmark.py @@ -24,7 +24,7 @@ parser.add_argument("--mimi-weight", type=str, default=loaders.MIMI_V0_1, help="Name of the Mimi checkpoint in the given HF repo, or path to a local file.") parser.add_argument("--hf-repo", type=str, default=loaders.HF_REPO, - help="HF repo to look into, defaults to Kyutai official one.") + help="HF repo to look into, defaults to Kyutai's official one.") parser.add_argument("--steps", default=100, type=int) parser.add_argument("--profile", action="store_true") parser.add_argument("--device", type=str, default='cuda') diff --git a/scripts/test_mimi.py b/scripts/test_mimi.py index 5aefdfa..be63e1c 100644 --- a/scripts/test_mimi.py +++ b/scripts/test_mimi.py @@ -5,8 +5,6 @@ import argparse import numpy as np import time -from pathlib import Path -import sentencepiece import rustymimi @@ -18,7 +16,7 @@ def main(): args = parser.parse_args() steps = args.steps - model = mimi.Tokenizer(str(args.model)) + model = rustymimi.Tokenizer(str(args.model)) print(model) start_time = 0 From c127e062b5be12152859483508c07c0fc209057a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Alexandre=20D=C3=A9fossez?= Date: Wed, 18 Sep 2024 13:12:58 +0200 Subject: [PATCH 04/24] Cla (#44) * cla test * update * trying again pr template --- .github/PULL_REQUEST_TEMPLATE.md | 1 + CONTRIBUTING.md | 30 ++++++++++++++++++++++++++++-- 2 files changed, 29 insertions(+), 2 deletions(-) create mode 100644 .github/PULL_REQUEST_TEMPLATE.md diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md new file mode 100644 index 0000000..7d64535 --- /dev/null +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -0,0 +1 @@ +Test hello youpi diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index af18af5..c4109cf 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -16,8 +16,34 @@ Note that in general we will not accept refactoring of the code. ## Contributor License Agreement ("CLA") -In order to accept your pull request, we need you to submit a Contributtor License Agreement. -As this CLA is not ready yet, we will delay acceptance of your PR. +In order to accept your pull request, we need you to submit a Contributor License Agreement. + +If you agree with the full CLA provided in the next paragraph, copy the following statement in your PR, changing your Github Handle: + +> I, {your GitHub handle}, confirm that I have read and understood the terms of the CLA of Kyutai-labs, as outlined in the repository's CONTRIBUTING.md, and I agree to be bound by these terms. + +The full CLA is provided as follows: + +> I, {your GitHub handle}, hereby grant to Kyutai-labs a perpetual, worldwide, non-exclusive, royalty-free, +> irrevocable license to use, modify, distribute, and sublicense my Contributions. + +> I understand and accept that Contributions are limited to modifications, improvements, or changes +> to the project’s source code submitted via pull requests. I accept that Kyutai-labs has full discretion to +> review, accept, reject, or request changes to any Contributions I submit, and that submitting +> a pull request does not guarantee its inclusion in the project. + +> By submitting a Contribution, I grant Kyutai-labs a perpetual, worldwide license to use, modify, +> reproduce, distribute, and create derivative works based on my Contributions. +> I also agree to assign all patent rights for any inventions or improvements that arise from my Contributions, +> giving the Kyutai-labs full rights to file for and enforce patents. +> I understand that the Kyutai-labs may commercialize, relicense, or exploit the project and my Contributions without further notice or obligation to me. +> I confirm that my Contributions are original and that I have the legal right to grant this license. +> If my Contributions include third-party materials, I will ensure that I have the necessary permissions +> and will disclose this information. I accept that once my Contributions are integrated, they may be altered or removed at the Kyutai-labs’s discretion. + +> I acknowledge that I am making these Contributions voluntarily and will not receive any compensation. +> Furthermore, I understand that all Contributions, including mine, are provided on an "as-is" basis, with no warranties. +> By submitting a pull request, I agree to be bound by these terms. ## Issues From f5c7d62c5a5d2ed7778f22513719566c2974723e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Alexandre=20D=C3=A9fossez?= Date: Wed, 18 Sep 2024 13:15:38 +0200 Subject: [PATCH 05/24] Adding Cla (#45) * cla test * update * trying again pr template From d58ed8b7037f90b7010e393b4a84bf3d77932484 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Alexandre=20D=C3=A9fossez?= Date: Wed, 18 Sep 2024 13:17:03 +0200 Subject: [PATCH 06/24] fix --- moshi/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/moshi/README.md b/moshi/README.md index 99bc8fe..0dc810c 100644 --- a/moshi/README.md +++ b/moshi/README.md @@ -111,7 +111,7 @@ pre-commit install Once locally installed, Mimi can be tested with the following command, from **the root** of the repository, ```bash wget https://github.com/metavoiceio/metavoice-src/raw/main/assets/bria.mp3 -python scripts/mimi_test.py +python scripts/mimi_streaming_test.py ``` From 4b301348a2dd035c6ad5df72f86eb99816488038 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Alexandre=20D=C3=A9fossez?= Date: Wed, 18 Sep 2024 13:22:14 +0200 Subject: [PATCH 07/24] template --- .github/PULL_REQUEST_TEMPLATE.md | 10 +++++++++- CONTRIBUTING.md | 3 ++- 2 files changed, 11 insertions(+), 2 deletions(-) diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md index 7d64535..52c082d 100644 --- a/.github/PULL_REQUEST_TEMPLATE.md +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -1 +1,9 @@ -Test hello youpi +## Checklist + +- [] Read CONTRIBUTING.md, and accept the CLA by including the provided snippet. We will not accept PR without this. +- [] Run pre-commit hook. +- [] If you changed Rust code, run `cargo check`, `cargo clippy`, `cargo test`. + +## PR Description + + diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index e58e010..2621176 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -9,7 +9,8 @@ However, we certainly welcome them for bug fixes. 1. Fork the repo and create your branch from `main`. 2. If you have changed APIs, update the documentation accordingly. 3. Ensure pre-commit hooks pass properly, in particular the linting and typing. -4. Accept the Contributor License Agreement (see after). +4. When changing the Rust code, run `cargo check`, `cargo clippy`, `cargo test`. +5. Accept the Contributor License Agreement (see after). Note that in general, we will not accept refactoring of the code. From 1dfc522134532da9e6843503ab89f79376cb227e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Alexandre=20D=C3=A9fossez?= Date: Wed, 18 Sep 2024 13:23:02 +0200 Subject: [PATCH 08/24] fix checklist --- .github/PULL_REQUEST_TEMPLATE.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md index 52c082d..b66b039 100644 --- a/.github/PULL_REQUEST_TEMPLATE.md +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -1,8 +1,8 @@ ## Checklist -- [] Read CONTRIBUTING.md, and accept the CLA by including the provided snippet. We will not accept PR without this. -- [] Run pre-commit hook. -- [] If you changed Rust code, run `cargo check`, `cargo clippy`, `cargo test`. +- [ ] Read CONTRIBUTING.md, and accept the CLA by including the provided snippet. We will not accept PR without this. +- [ ] Run pre-commit hook. +- [ ] If you changed Rust code, run `cargo check`, `cargo clippy`, `cargo test`. ## PR Description From cdfa787b056c07cda160b2dcf3a98fe40429c3d8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Alexandre=20D=C3=A9fossez?= Date: Wed, 18 Sep 2024 13:24:39 +0200 Subject: [PATCH 09/24] test debug info --- .github/actions/moshi_build/action.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/actions/moshi_build/action.yml b/.github/actions/moshi_build/action.yml index 2be3812..16bee44 100755 --- a/.github/actions/moshi_build/action.yml +++ b/.github/actions/moshi_build/action.yml @@ -22,6 +22,6 @@ runs: - name: Setup env shell: bash run: | - . env/bin/activate + source env/bin/activate || ( echo "FAILED" && ls && ls env && exit 1) pre-commit install pip install -e './moshi[dev]' From 50edf174d1aae9f461a9526b07d1684b3aaf862f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Alexandre=20D=C3=A9fossez?= Date: Wed, 18 Sep 2024 13:25:49 +0200 Subject: [PATCH 10/24] fix moshi --- moshi.png | Bin 565092 -> 524198 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/moshi.png b/moshi.png index 0e6c73189309193c3152fe7da7e59a5e9aa359dc..e2dfdfe5b1d6393d49705cade5168f32add056ff 100644 GIT binary patch literal 524198 zcmeFZcRZH;|355IBB4T2h^u51vPWhqd+)N&kdeK0Dh)!*$R;8)d#?&bA$t?aCR^tH zI=V{d>2qE8~x;T@qWMd>-l=Vj|WN$vc!Z`gg7`j#Fs8gslbm& z9GrcG1pDBf@wbZXI5>N*noCM5U6PcfQ?j!$GrwVqgLC$=VhPj)dkX{JW`*Vo7H;n zKI^g1Q}J*3V(TRwxln#@|Je7l5?>>6=J6#J6%^$z*RwpCJl^;H+{t6=txxX1xAS3G zoteJYZyR`1#H@l`%%jI!jK5rXr4LoF;`nXWLw7MD?@673sjqq*^(_YRkb;BP77i5| zjw*lEkKiU2%@$}IY+3v0aZawBe&v<+X?ZWYbyYUEm%a-{@=KHZ*4=_Mw8D&OuM!&( za{U!{*yIkW$z4wWPBEb`YYIoD32sQ%?mPGX&7jjAKk-9U0)e<{58o;tqOTX5G?F>jtaF@K!c%;T5mOZP2`?x75l_#8}&I{7jumxl0sr~aPeW!6bYGTR@w zy39hYANDUhRQ@qI;-! zUd!w`i?jFV`?xqb_sntdetkv(ejz542>o>j2U|f74rga)c4uyO z8#@#Smwqwc}8{3)NI+)v7(;?TrW@O{& zAVN=%+-T>|-|IAWG5>QXYx`f@f(>#Yzv19w=j7PAHhfhWc~?-$+{N^Uwv@RQ$PDfw 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