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[python] support uploading examples with attachments and running evals on examples with attachments #353

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[python] support uploading examples with attachments and running evals on examples with attachments

[python] support uploading examples with attachments and running evals on examples with attachments #353

Triggered via pull request November 18, 2024 23:28
@isahers1isahers1
synchronize #1209
isaac/multipartstuff
Status Success
Total duration 19m 21s
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on: pull_request
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The following actions use a deprecated Node.js version and will be forced to run on node20: actions/cache@v3. For more info: https://github.blog/changelog/2024-03-07-github-actions-all-actions-will-run-on-node20-instead-of-node16-by-default/
Benchmark results: .github/actions/python-integration-tests/action.yml#L1
......................................... WARNING: the benchmark result may be unstable * the standard deviation (99.8 ms) is 14% of the mean (713 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: 713 ms +- 100 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (163 ms) is 12% of the mean (1.39 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: 1.39 sec +- 0.16 sec ......................................... WARNING: the benchmark result may be unstable * the standard deviation (198 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 +- 0.20 sec ......................................... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 705 us +- 10 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 25.3 ms +- 0.3 ms ......................................... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 105 ms +- 3 ms ......................................... dumps_dataclass_nested_50x100: Mean +- std dev: 25.6 ms +- 0.3 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (15.1 ms) is 23% of the mean (64.5 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: 64.5 ms +- 15.1 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (29.4 ms) is 14% of the mean (216 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_pydanticv1_nested_50x100: Mean +- std dev: 216 ms +- 29 ms
Comparison against main: .github/actions/python-integration-tests/action.yml#L1
+-----------------------------------------------+---------+-----------------------+ | Benchmark | main | changes | +===============================================+=========+=======================+ | dumps_pydantic_nested_50x100 | 71.3 ms | 64.5 ms: 1.10x faster | +-----------------------------------------------+---------+-----------------------+ | dumps_pydanticv1_nested_50x100 | 231 ms | 216 ms: 1.07x faster | +-----------------------------------------------+---------+-----------------------+ | dumps_dataclass_nested_50x100 | 25.7 ms | 25.6 ms: 1.00x faster | +-----------------------------------------------+---------+-----------------------+ | dumps_class_nested_py_branch_and_leaf_200x400 | 700 us | 705 us: 1.01x slower | +-----------------------------------------------+---------+-----------------------+ | Geometric mean | (ref) | 1.02x faster | +-----------------------------------------------+---------+-----------------------+ Benchmark hidden because not significant (5): create_10_000_run_trees, create_5_000_run_trees, create_20_000_run_trees, dumps_class_nested_py_leaf_50x100, dumps_class_nested_py_leaf_100x200