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fix time for runs in convert_runs_test #680

fix time for runs in convert_runs_test

fix time for runs in convert_runs_test #680

Triggered via pull request December 13, 2024 23:11
Status Success
Total duration 7m 6s
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py-bench.yml

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benchmark
ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636
Benchmark results: python/langsmith/beta/_evals.py#L1
........... WARNING: the benchmark result may be unstable * the standard deviation (84.7 ms) is 12% of the mean (693 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: 693 ms +- 85 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (200 ms) is 15% 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_10_000_run_trees: Mean +- std dev: 1.38 sec +- 0.20 sec ........... WARNING: the benchmark result may be unstable * the standard deviation (213 ms) is 15% of the mean (1.47 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: 1.47 sec +- 0.21 sec ........... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 695 us +- 11 us ........... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 25.2 ms +- 0.3 ms ........... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 104 ms +- 2 ms ........... dumps_dataclass_nested_50x100: Mean +- std dev: 25.5 ms +- 0.2 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (17.6 ms) is 23% of the mean (74.9 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: 74.9 ms +- 17.6 ms ........... dumps_pydanticv1_nested_50x100: Mean +- std dev: 202 ms +- 3 ms
Comparison against main: python/langsmith/beta/_evals.py#L1
+-----------------------------------------------+----------+------------------------+ | Benchmark | main | changes | +===============================================+==========+========================+ | dumps_pydanticv1_nested_50x100 | 217 ms | 202 ms: 1.07x faster | +-----------------------------------------------+----------+------------------------+ | create_5_000_run_trees | 721 ms | 693 ms: 1.04x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_branch_and_leaf_200x400 | 695 us | 695 us: 1.00x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_100x200 | 103 ms | 104 ms: 1.00x slower | +-----------------------------------------------+----------+------------------------+ | create_10_000_run_trees | 1.37 sec | 1.38 sec: 1.01x slower | +-----------------------------------------------+----------+------------------------+ | dumps_dataclass_nested_50x100 | 25.2 ms | 25.5 ms: 1.01x slower | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_50x100 | 24.8 ms | 25.2 ms: 1.01x slower | +-----------------------------------------------+----------+------------------------+ | create_20_000_run_trees | 1.36 sec | 1.47 sec: 1.07x slower | +-----------------------------------------------+----------+------------------------+ | dumps_pydantic_nested_50x100 | 64.9 ms | 74.9 ms: 1.16x slower | +-----------------------------------------------+----------+------------------------+ | Geometric mean | (ref) | 1.02x slower | +-----------------------------------------------+----------+------------------------+