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add attachments to evaluate #613

add attachments to evaluate

add attachments to evaluate #613

Triggered via pull request December 10, 2024 00:40
Status Success
Total duration 4m 36s
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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/evaluation/_arunner.py#L1
........... WARNING: the benchmark result may be unstable * the standard deviation (77.7 ms) is 11% of the mean (676 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: 676 ms +- 78 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (162 ms) is 12% of the mean (1.40 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: 1.40 sec +- 0.16 sec ........... WARNING: the benchmark result may be unstable * the standard deviation (152 ms) is 11% of the mean (1.36 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: 1.36 sec +- 0.15 sec ........... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 697 us +- 8 us ........... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 25.1 ms +- 0.5 ms ........... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 104 ms +- 2 ms ........... dumps_dataclass_nested_50x100: Mean +- std dev: 25.4 ms +- 0.4 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (16.6 ms) is 23% of the mean (72.3 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: 72.3 ms +- 16.6 ms ........... dumps_pydanticv1_nested_50x100: Mean +- std dev: 199 ms +- 2 ms
Comparison against main: python/langsmith/evaluation/_arunner.py#L1
+-----------------------------------------------+----------+------------------------+ | Benchmark | main | changes | +===============================================+==========+========================+ | dumps_pydanticv1_nested_50x100 | 216 ms | 199 ms: 1.09x faster | +-----------------------------------------------+----------+------------------------+ | create_5_000_run_trees | 703 ms | 676 ms: 1.04x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_branch_and_leaf_200x400 | 701 us | 697 us: 1.00x faster | +-----------------------------------------------+----------+------------------------+ | create_20_000_run_trees | 1.37 sec | 1.36 sec: 1.00x faster | +-----------------------------------------------+----------+------------------------+ | dumps_dataclass_nested_50x100 | 25.2 ms | 25.4 ms: 1.01x slower | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_50x100 | 24.8 ms | 25.1 ms: 1.01x slower | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_100x200 | 103 ms | 104 ms: 1.02x slower | +-----------------------------------------------+----------+------------------------+ | create_10_000_run_trees | 1.37 sec | 1.40 sec: 1.02x slower | +-----------------------------------------------+----------+------------------------+ | dumps_pydantic_nested_50x100 | 65.1 ms | 72.3 ms: 1.11x slower | +-----------------------------------------------+----------+------------------------+ | Geometric mean | (ref) | 1.00x slower | +-----------------------------------------------+----------+------------------------+