serialize instead of deepcopy for performance gains #115
efriisAnnotations
1 warning and 2 notices
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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/
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Benchmark results:
python/langsmith/_internal/_background_thread.py#L1
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create_5_000_run_trees: Mean +- std dev: 704 ms +- 56 ms
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create_10_000_run_trees: Mean +- std dev: 1.32 sec +- 0.07 sec
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create_20_000_run_trees: Mean +- std dev: 1.33 sec +- 0.08 sec
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dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 771 us +- 9 us
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dumps_class_nested_py_leaf_50x100: Mean +- std dev: 27.3 ms +- 0.3 ms
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dumps_class_nested_py_leaf_100x200: Mean +- std dev: 112 ms +- 2 ms
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dumps_dataclass_nested_50x100: Mean +- std dev: 27.6 ms +- 0.3 ms
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WARNING: the benchmark result may be unstable
* the standard deviation (7.25 ms) is 12% of the mean (60.8 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: 60.8 ms +- 7.3 ms
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WARNING: the benchmark result may be unstable
* the standard deviation (32.4 ms) is 15% of the mean (220 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: 220 ms +- 32 ms
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Comparison against main:
python/langsmith/_internal/_background_thread.py#L1
+-----------------------------------------------+----------+------------------------+
| Benchmark | main | changes |
+===============================================+==========+========================+
| dumps_class_nested_py_branch_and_leaf_200x400 | 763 us | 771 us: 1.01x slower |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_leaf_100x200 | 111 ms | 112 ms: 1.01x slower |
+-----------------------------------------------+----------+------------------------+
| dumps_dataclass_nested_50x100 | 27.1 ms | 27.6 ms: 1.02x slower |
+-----------------------------------------------+----------+------------------------+
| dumps_class_nested_py_leaf_50x100 | 26.8 ms | 27.3 ms: 1.02x slower |
+-----------------------------------------------+----------+------------------------+
| dumps_pydantic_nested_50x100 | 57.8 ms | 60.8 ms: 1.05x slower |
+-----------------------------------------------+----------+------------------------+
| create_10_000_run_trees | 1.13 sec | 1.32 sec: 1.18x slower |
+-----------------------------------------------+----------+------------------------+
| create_20_000_run_trees | 1.11 sec | 1.33 sec: 1.20x slower |
+-----------------------------------------------+----------+------------------------+
| create_5_000_run_trees | 565 ms | 704 ms: 1.24x slower |
+-----------------------------------------------+----------+------------------------+
| Geometric mean | (ref) | 1.08x slower |
+-----------------------------------------------+----------+------------------------+
Benchmark hidden because not significant (1): dumps_pydanticv1_nested_50x100
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