add ability to run experiments in parallel with different hyper params #123
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1 warning and 2 notices
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/Makefile#L1
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create_5_000_run_trees: Mean +- std dev: 564 ms +- 42 ms
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create_10_000_run_trees: Mean +- std dev: 1.11 sec +- 0.05 sec
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create_20_000_run_trees: Mean +- std dev: 1.11 sec +- 0.06 sec
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dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 763 us +- 11 us
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dumps_class_nested_py_leaf_50x100: Mean +- std dev: 26.9 ms +- 0.3 ms
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dumps_class_nested_py_leaf_100x200: Mean +- std dev: 111 ms +- 3 ms
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dumps_dataclass_nested_50x100: Mean +- std dev: 27.2 ms +- 0.3 ms
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WARNING: the benchmark result may be unstable
* the standard deviation (6.91 ms) is 12% of the mean (58.1 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: 58.1 ms +- 6.9 ms
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WARNING: the benchmark result may be unstable
* the standard deviation (30.6 ms) is 14% of the mean (216 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: 216 ms +- 31 ms
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Comparison against main:
python/Makefile#L1
+-----------------------------------+----------+------------------------+
| Benchmark | main | changes |
+===================================+==========+========================+
| create_10_000_run_trees | 1.13 sec | 1.11 sec: 1.01x faster |
+-----------------------------------+----------+------------------------+
| dumps_class_nested_py_leaf_50x100 | 26.8 ms | 26.9 ms: 1.00x slower |
+-----------------------------------+----------+------------------------+
| Geometric mean | (ref) | 1.00x slower |
+-----------------------------------+----------+------------------------+
Benchmark hidden because not significant (7): create_5_000_run_trees, create_20_000_run_trees, dumps_class_nested_py_branch_and_leaf_200x400, dumps_dataclass_nested_50x100, dumps_class_nested_py_leaf_100x200, dumps_pydantic_nested_50x100, dumps_pydanticv1_nested_50x100
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