Results fork: python version: 3.14.0a1+ config: commit hash: f6cc7c8 commit date: 2024-10-26T23:40:31+02:00 commit merge base: 26d627779f79d8d5650fe7be348432eccc28f8f9 ref: f6cc7c8bd01d8468af70 linux x86_64 (vultr) GitHub Action run cpu model: Intel(R) Xeon(R) E-2286G CPU @ 4.00GHz platform: Linux-6.8.0-45-generic-x86_64-with-glibc2.39 pystats raw pystats table raw results vs. 3.12.6 Geometric mean: 1.00x faster (HPT: reliability of 99.56%, 1.00x faster at 99th %ile) Memory usage: 1.02x missing benchmarks: aiohttp, async_tree_cpu_io_mixed, async_tree_cpu_io_mixed_tg, async_tree_io, async_tree_io_tg, async_tree_memoization, async_tree_memoization_tg, async_tree_none, async_tree_none_tg, chameleon, dask, flaskblogging, gunicorn, mypy2, sqlalchemy_declarative, sqlalchemy_imperative 📄table 📈time plot vs. 3.13.0rc2 Geometric mean: 1.01x slower (HPT: reliability of 73.50%, 1.00x faster at 99th %ile) Memory usage: 1.00x missing benchmarks: aiohttp, async_tree_cpu_io_mixed, async_tree_cpu_io_mixed_tg, async_tree_io, async_tree_io_tg, async_tree_memoization, async_tree_memoization_tg, async_tree_none, async_tree_none_tg, chameleon, dask, flaskblogging, gunicorn 📄table 📈time plot
