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/

......................................... WARNING: the benchmark result may be unstable * the standard deviation (87.5 ms) is 12% of the mean (715 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: 715 ms +- 88 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (189 ms) is 13% of the mean (1.41 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: 1.41 sec +- 0.19 sec ......................................... WARNING: the benchmark result may be unstable * the standard deviation (168 ms) is 12% of the mean (1.41 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: 1.41 sec +- 0.17 sec ......................................... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 705 us +- 12 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 25.2 ms +- 0.5 ms ......................................... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 104 ms +- 2 ms ......................................... dumps_dataclass_nested_50x100: Mean +- std dev: 25.3 ms +- 0.3 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (16.8 ms) is 25% of the mean (66.8 ms) * the maximum (103 ms) is 54% greater than the mean (66.8 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: 66.8 ms +- 16.8 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (32.1 ms) is 14% of the mean (222 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: 222 ms +- 32 ms