[python] support uploading examples with attachments and running evals on examples with attachments #594
baskaryanAnnotations
1 warning and 2 notices
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benchmark
ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636
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Benchmark results:
python/bench/upload_example_with_large_file_attachment.py#L1
...........
WARNING: the benchmark result may be unstable
* the standard deviation (92.9 ms) is 14% of the mean (688 ms)
Try to rerun the benchmark with more runs, values and/or loops.
Run 'python -m pyperf system tune' command to reduce the system jitter.
Use pyperf stats, pyperf dump and pyperf hist to analyze results.
Use --quiet option to hide these warnings.
create_5_000_run_trees: Mean +- std dev: 688 ms +- 93 ms
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WARNING: the benchmark result may be unstable
* the standard deviation (208 ms) is 15% of the mean (1.40 sec)
Try to rerun the benchmark with more runs, values and/or loops.
Run 'python -m pyperf system tune' command to reduce the system jitter.
Use pyperf stats, pyperf dump and pyperf hist to analyze results.
Use --quiet option to hide these warnings.
create_10_000_run_trees: Mean +- std dev: 1.40 sec +- 0.21 sec
...........
WARNING: the benchmark result may be unstable
* the standard deviation (191 ms) is 14% of the mean (1.38 sec)
Try to rerun the benchmark with more runs, values and/or loops.
Run 'python -m pyperf system tune' command to reduce the system jitter.
Use pyperf stats, pyperf dump and pyperf hist to analyze results.
Use --quiet option to hide these warnings.
create_20_000_run_trees: Mean +- std dev: 1.38 sec +- 0.19 sec
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dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 706 us +- 8 us
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dumps_class_nested_py_leaf_50x100: Mean +- std dev: 25.4 ms +- 0.3 ms
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dumps_class_nested_py_leaf_100x200: Mean +- std dev: 105 ms +- 2 ms
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dumps_dataclass_nested_50x100: Mean +- std dev: 25.7 ms +- 0.5 ms
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WARNING: the benchmark result may be unstable
* the standard deviation (15.4 ms) is 22% of the mean (70.4 ms)
Try to rerun the benchmark with more runs, values and/or loops.
Run 'python -m pyperf system tune' command to reduce the system jitter.
Use pyperf stats, pyperf dump and pyperf hist to analyze results.
Use --quiet option to hide these warnings.
dumps_pydantic_nested_50x100: Mean +- std dev: 70.4 ms +- 15.4 ms
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dumps_pydanticv1_nested_50x100: Mean +- std dev: 194 ms +- 3 ms
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Comparison against main:
python/bench/upload_example_with_large_file_attachment.py#L1
+-----------------------------------------------+----------+------------------------+
| Benchmark | main | changes |
+===============================================+==========+========================+
| dumps_pydanticv1_nested_50x100 | 221 ms | 194 ms: 1.14x faster |
+-----------------------------------------------+----------+------------------------+
| create_5_000_run_trees | 724 ms | 688 ms: 1.05x faster |
+-----------------------------------------------+----------+------------------------+
| create_20_000_run_trees | 1.39 sec | 1.38 sec: 1.01x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_leaf_100x200 | 105 ms | 105 ms: 1.00x faster |
+-----------------------------------------------+----------+------------------------+
| create_10_000_run_trees | 1.40 sec | 1.40 sec: 1.00x faster |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_branch_and_leaf_200x400 | 705 us | 706 us: 1.00x slower |
+-----------------------------------------------+----------+------------------------+
| dumps_dataclass_nested_50x100 | 25.6 ms | 25.7 ms: 1.00x slower |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_leaf_50x100 | 25.1 ms | 25.4 ms: 1.01x slower |
+-----------------------------------------------+----------+------------------------+
| dumps_pydantic_nested_50x100 | 66.2 ms | 70.4 ms: 1.06x slower |
+-----------------------------------------------+----------+------------------------+
| Geometric mean | (ref) | 1.01x faster |
+-----------------------------------------------+----------+------------------------+
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