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docs: update ref for list_examples #706

docs: update ref for list_examples

docs: update ref for list_examples #706

Triggered via pull request December 19, 2024 21:24
Status Success
Total duration 4m 54s
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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/client.py#L1
........... WARNING: the benchmark result may be unstable * the standard deviation (69.8 ms) is 10% of the mean (669 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: 669 ms +- 70 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (162 ms) is 11% of the mean (1.43 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: 1.43 sec +- 0.16 sec ........... WARNING: the benchmark result may be unstable * the standard deviation (146 ms) is 11% of the mean (1.37 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: 1.37 sec +- 0.15 sec ........... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 688 us +- 9 us ........... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 24.8 ms +- 0.2 ms ........... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 103 ms +- 2 ms ........... dumps_dataclass_nested_50x100: Mean +- std dev: 25.2 ms +- 0.3 ms ........... WARNING: the benchmark result may be unstable * the standard deviation (15.3 ms) is 22% of the mean (71.3 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: 71.3 ms +- 15.3 ms ........... dumps_pydanticv1_nested_50x100: Mean +- std dev: 198 ms +- 2 ms
Comparison against main: python/langsmith/client.py#L1
+-----------------------------------------------+----------+------------------------+ | Benchmark | main | changes | +===============================================+==========+========================+ | dumps_pydanticv1_nested_50x100 | 220 ms | 198 ms: 1.11x faster | +-----------------------------------------------+----------+------------------------+ | create_5_000_run_trees | 731 ms | 669 ms: 1.09x faster | +-----------------------------------------------+----------+------------------------+ | dumps_dataclass_nested_50x100 | 25.5 ms | 25.2 ms: 1.02x faster | +-----------------------------------------------+----------+------------------------+ | create_20_000_run_trees | 1.39 sec | 1.37 sec: 1.01x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_50x100 | 25.1 ms | 24.8 ms: 1.01x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_leaf_100x200 | 104 ms | 103 ms: 1.01x faster | +-----------------------------------------------+----------+------------------------+ | dumps_class_nested_py_branch_and_leaf_200x400 | 690 us | 688 us: 1.00x faster | +-----------------------------------------------+----------+------------------------+ | create_10_000_run_trees | 1.41 sec | 1.43 sec: 1.02x slower | +-----------------------------------------------+----------+------------------------+ | dumps_pydantic_nested_50x100 | 65.9 ms | 71.3 ms: 1.08x slower | +-----------------------------------------------+----------+------------------------+ | Geometric mean | (ref) | 1.02x faster | +-----------------------------------------------+----------+------------------------+