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fix: Create new multipart encoder for each retry attempt #98

fix: Create new multipart encoder for each retry attempt

fix: Create new multipart encoder for each retry attempt #98

Triggered via pull request October 23, 2024 00:01
Status Success
Total duration 21m 4s
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py-bench.yml

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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: python/langsmith/client.py#L1
......................................... create_5_000_run_trees: Mean +- std dev: 569 ms +- 42 ms ......................................... create_10_000_run_trees: Mean +- std dev: 1.12 sec +- 0.06 sec ......................................... create_20_000_run_trees: Mean +- std dev: 1.13 sec +- 0.06 sec ......................................... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 765 us +- 9 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 27.1 ms +- 0.3 ms ......................................... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 112 ms +- 3 ms ......................................... dumps_dataclass_nested_50x100: Mean +- std dev: 27.5 ms +- 0.4 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (6.66 ms) is 11% of the mean (58.0 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: 58.0 ms +- 6.7 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (28.1 ms) is 13% of the mean (211 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: 211 ms +- 28 ms
Comparison against main: python/langsmith/client.py#L1
+-----------------------------------------------+---------+-----------------------+ | Benchmark | main | changes | +===============================================+=========+=======================+ | dumps_pydanticv1_nested_50x100 | 221 ms | 211 ms: 1.05x faster | +-----------------------------------------------+---------+-----------------------+ | dumps_pydantic_nested_50x100 | 60.1 ms | 58.0 ms: 1.04x faster | +-----------------------------------------------+---------+-----------------------+ | dumps_class_nested_py_leaf_50x100 | 27.6 ms | 27.1 ms: 1.02x faster | +-----------------------------------------------+---------+-----------------------+ | dumps_class_nested_py_branch_and_leaf_200x400 | 767 us | 765 us: 1.00x faster | +-----------------------------------------------+---------+-----------------------+ | Geometric mean | (ref) | 1.01x faster | +-----------------------------------------------+---------+-----------------------+ Benchmark hidden because not significant (5): create_20_000_run_trees, create_5_000_run_trees, create_10_000_run_trees, dumps_class_nested_py_leaf_100x200, dumps_dataclass_nested_50x100