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Allow users to add metadata on end() #87

Allow users to add metadata on end()

Allow users to add metadata on end() #87

Triggered via pull request October 11, 2024 19:11
Status Success
Total duration 18m 44s
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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: js/src/run_trees.ts#L1
......................................... create_5_000_run_trees: Mean +- std dev: 576 ms +- 45 ms ......................................... create_10_000_run_trees: Mean +- std dev: 1.15 sec +- 0.06 sec ......................................... create_20_000_run_trees: Mean +- std dev: 1.14 sec +- 0.06 sec ......................................... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 768 us +- 10 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 26.9 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 (16.5 ms) is 27% of the mean (61.3 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: 61.3 ms +- 16.5 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (32.1 ms) is 15% of the mean (219 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: 219 ms +- 32 ms
Comparison against main: js/src/run_trees.ts#L1
+------------------------------------+----------+------------------------+ | Benchmark | main | changes | +====================================+==========+========================+ | dumps_class_nested_py_leaf_50x100 | 27.3 ms | 26.9 ms: 1.01x faster | +------------------------------------+----------+------------------------+ | dumps_dataclass_nested_50x100 | 27.8 ms | 27.5 ms: 1.01x faster | +------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_100x200 | 113 ms | 112 ms: 1.01x faster | +------------------------------------+----------+------------------------+ | create_20_000_run_trees | 1.12 sec | 1.14 sec: 1.02x slower | +------------------------------------+----------+------------------------+ | create_10_000_run_trees | 1.12 sec | 1.15 sec: 1.02x slower | +------------------------------------+----------+------------------------+ | Geometric mean | (ref) | 1.01x slower | +------------------------------------+----------+------------------------+ Benchmark hidden because not significant (4): dumps_class_nested_py_branch_and_leaf_200x400, dumps_pydanticv1_nested_50x100, create_5_000_run_trees, dumps_pydantic_nested_50x100