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python[patch]: accept simple evaluators #309

python[patch]: accept simple evaluators

python[patch]: accept simple evaluators #309

Triggered via pull request November 14, 2024 21:02
Status Success
Total duration 19m 49s
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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/evaluation/_runner.py#L1
......................................... create_5_000_run_trees: Mean +- std dev: 616 ms +- 45 ms ......................................... create_10_000_run_trees: Mean +- std dev: 1.21 sec +- 0.06 sec ......................................... create_20_000_run_trees: Mean +- std dev: 1.21 sec +- 0.06 sec ......................................... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 705 us +- 11 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 25.4 ms +- 0.2 ms ......................................... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 104 ms +- 2 ms ......................................... dumps_dataclass_nested_50x100: Mean +- std dev: 25.7 ms +- 1.0 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (16.0 ms) is 24% of the mean (66.8 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: 66.8 ms +- 16.0 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (29.2 ms) is 13% of the mean (217 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: 217 ms +- 29 ms
Comparison against main: python/langsmith/evaluation/_runner.py#L1
+-----------------------------------------------+---------+-----------------------+ | Benchmark | main | changes | +===============================================+=========+=======================+ | dumps_class_nested_py_leaf_50x100 | 25.3 ms | 25.4 ms: 1.01x slower | +-----------------------------------------------+---------+-----------------------+ | dumps_dataclass_nested_50x100 | 25.5 ms | 25.7 ms: 1.01x slower | +-----------------------------------------------+---------+-----------------------+ | dumps_class_nested_py_branch_and_leaf_200x400 | 698 us | 705 us: 1.01x slower | +-----------------------------------------------+---------+-----------------------+ | Geometric mean | (ref) | 1.00x faster | +-----------------------------------------------+---------+-----------------------+ Benchmark hidden because not significant (6): dumps_pydanticv1_nested_50x100, dumps_pydantic_nested_50x100, create_5_000_run_trees, create_10_000_run_trees, dumps_class_nested_py_leaf_100x200, create_20_000_run_trees