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 (108 ms) is 15% of the mean (724 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: 724 ms +- 108 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (183 ms) is 13% of the mean (1.42 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: 1.42 sec +- 0.18 sec ......................................... WARNING: the benchmark result may be unstable * the standard deviation (190 ms) is 14% of the mean (1.39 sec) * the maximum (2.20 sec) is 59% greater than the mean (1.39 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: 1.39 sec +- 0.19 sec ......................................... dumps_class_nested_py_branch_and_leaf_200x400: Mean +- std dev: 705 us +- 9 us ......................................... dumps_class_nested_py_leaf_50x100: Mean +- std dev: 25.4 ms +- 0.4 ms ......................................... dumps_class_nested_py_leaf_100x200: Mean +- std dev: 103 ms +- 2 ms ......................................... dumps_dataclass_nested_50x100: Mean +- std dev: 25.4 ms +- 0.3 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (15.6 ms) is 24% of the mean (65.9 ms) * the maximum (101 ms) is 53% greater than the mean (65.9 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: 65.9 ms +- 15.6 ms ......................................... WARNING: the benchmark result may be unstable * the standard deviation (30.9 ms) is 14% of the mean (221 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: 221 ms +- 31 ms