Skip to content

Fix serialization of pydantic.BaseModel fields with pathlib.Path dict keys #184

Fix serialization of pydantic.BaseModel fields with pathlib.Path dict keys

Fix serialization of pydantic.BaseModel fields with pathlib.Path dict keys #184

Re-run triggered November 5, 2024 18:56
Status Success
Total duration 19m 12s
Artifacts

py-bench.yml

on: pull_request
Fit to window
Zoom out
Zoom in

Annotations

1 warning and 2 notices
benchmark
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/_internal/_serde.py#L1
......................................... create_5_000_run_trees: Mean +- std dev: 621 ms +- 49 ms ......................................... create_10_000_run_trees: Mean +- std dev: 1.21 sec +- 0.06 sec ......................................... create_20_000_run_trees: Mean +- std dev: 1.19 sec +- 0.05 sec ......................................... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 818 us +- 8 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 29.0 ms +- 0.4 ms ......................................... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 118 ms +- 3 ms ......................................... dumps_dataclass_nested_50x100: Mean +- std dev: 28.9 ms +- 0.3 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (14.8 ms) is 22% of the mean (68.3 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: 68.3 ms +- 14.8 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (28.8 ms) is 13% of the mean (221 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: 221 ms +- 29 ms
Comparison against main: python/langsmith/_internal/_serde.py#L1
+-----------------------------------------------+---------+-----------------------+ | Benchmark | main | changes | +===============================================+=========+=======================+ | dumps_dataclass_nested_50x100 | 27.2 ms | 28.9 ms: 1.06x slower | +-----------------------------------------------+---------+-----------------------+ | dumps_class_nested_py_branch_and_leaf_200x400 | 766 us | 818 us: 1.07x slower | +-----------------------------------------------+---------+-----------------------+ | dumps_class_nested_py_leaf_100x200 | 111 ms | 118 ms: 1.07x slower | +-----------------------------------------------+---------+-----------------------+ | dumps_class_nested_py_leaf_50x100 | 26.8 ms | 29.0 ms: 1.08x slower | +-----------------------------------------------+---------+-----------------------+ | dumps_pydantic_nested_50x100 | 58.5 ms | 68.3 ms: 1.17x slower | +-----------------------------------------------+---------+-----------------------+ | Geometric mean | (ref) | 1.05x slower | +-----------------------------------------------+---------+-----------------------+ Benchmark hidden because not significant (4): create_5_000_run_trees, create_20_000_run_trees, dumps_pydanticv1_nested_50x100, create_10_000_run_trees