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linux x86_64 (pythonperf2)
Geometric mean: 1.207x faster (HPT: reliability of 100.00%, 1.13x faster at 99th %ile)
Memory usage: 1.69x
missing benchmarks: aiohttp, chameleon, dask, flaskblogging, gunicorn, mypy2, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, sqlglot_optimize, sqlglot_parse, sqlglot_transpile, tornado_http
new benchmarks: async_tree_cpu_io_mixed_tg, async_tree_io_tg, async_tree_memoization_tg, async_tree_none_tg, bpe_tokeniser, connected_components, k_core, many_optionals, shortest_path, sphinx, sqlglot_v2_normalize, sqlglot_v2_optimize, sqlglot_v2_parse, sqlglot_v2_transpile, subparsers
📄table 📈time plot
Geometric mean: 1.048x slower (HPT: reliability of 91.51%, 1.00x slower at 99th %ile)
Memory usage: 1.37x
missing benchmarks: aiohttp, chameleon, dask, gunicorn, mypy2, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, sqlglot_optimize, sqlglot_parse, sqlglot_transpile, tornado_http
new benchmarks: bpe_tokeniser, connected_components, genshi_text, genshi_xml, html5lib, k_core, many_optionals, pylint, shortest_path, sphinx, sqlglot_v2_normalize, sqlglot_v2_optimize, sqlglot_v2_parse, sqlglot_v2_transpile, subparsers, thrift
📄table 📈time plot
Geometric mean: 1.048x slower (HPT: reliability of 91.75%, 1.00x slower at 99th %ile)
Memory usage: 1.33x
missing benchmarks: chameleon, djangocms, gevent_hub, gunicorn, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, sqlglot_optimize, sqlglot_parse, sqlglot_transpile, tornado_http
new benchmarks: asyncio_tcp, asyncio_tcp_ssl, pickle, pickle_dict, pickle_list, sqlglot_v2_normalize, sqlglot_v2_optimize, sqlglot_v2_parse, sqlglot_v2_transpile, unpack_sequence, unpickle, unpickle_list
📄table 📈time plot
Geometric mean: 1.107x slower (HPT: reliability of 100.00%, 1.09x slower at 99th %ile)
Memory usage: 1.20x
missing benchmarks: 🔴 djangocms
🧠memory plot 📄table 📈time plot
windows amd64 (pythonperf1)
Geometric mean: 1.204x faster (HPT: reliability of 99.99%, 1.09x faster at 99th %ile)
Memory usage: unknown
missing benchmarks: aiohttp, chameleon, dask, flaskblogging, mypy2, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, sqlglot_optimize, sqlglot_parse, sqlglot_transpile, tornado_http
new benchmarks: async_tree_cpu_io_mixed_tg, async_tree_io_tg, async_tree_memoization_tg, async_tree_none_tg, asyncio_websockets, bpe_tokeniser, connected_components, k_core, many_optionals, shortest_path, sphinx, sqlglot_v2_normalize, sqlglot_v2_optimize, sqlglot_v2_parse, sqlglot_v2_transpile, subparsers
📄table 📈time plot
Geometric mean: 1.040x faster (HPT: reliability of 77.71%, 1.00x slower at 99th %ile)
Memory usage: unknown
missing benchmarks: aiohttp, chameleon, dask, mypy2, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, sqlglot_optimize, sqlglot_parse, sqlglot_transpile, tornado_http
new benchmarks: asyncio_websockets, bpe_tokeniser, connected_components, genshi_text, genshi_xml, html5lib, k_core, many_optionals, pylint, shortest_path, sphinx, sqlglot_v2_normalize, sqlglot_v2_optimize, sqlglot_v2_parse, sqlglot_v2_transpile, subparsers, thrift
📄table 📈time plot
Geometric mean: 1.022x slower (HPT: reliability of 99.81%, 1.01x slower at 99th %ile)
Memory usage: unknown
missing benchmarks: chameleon, djangocms, gevent_hub, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, sqlglot_optimize, sqlglot_parse, sqlglot_transpile, tornado_http
new benchmarks: asyncio_tcp, asyncio_tcp_ssl, pickle, pickle_dict, pickle_list, sqlglot_v2_normalize, sqlglot_v2_optimize, sqlglot_v2_parse, sqlglot_v2_transpile, unpack_sequence, unpickle, unpickle_list
📄table 📈time plot
Geometric mean: 1.076x slower (HPT: reliability of 100.00%, 1.03x slower at 99th %ile)
Memory usage: unknown
📄table 📈time plot
windows amd64 (pythonperf1_win32)
Geometric mean: 1.353x faster (HPT: reliability of 100.00%, 1.20x faster at 99th %ile)
Memory usage: unknown
missing benchmarks: aiohttp, chameleon, dask, flaskblogging, mypy2, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, sqlglot_optimize, sqlglot_parse, sqlglot_transpile, tornado_http
new benchmarks: async_tree_cpu_io_mixed_tg, async_tree_io_tg, async_tree_memoization_tg, async_tree_none_tg, asyncio_websockets, bpe_tokeniser, connected_components, k_core, many_optionals, shortest_path, sphinx, sqlglot_v2_normalize, sqlglot_v2_optimize, sqlglot_v2_parse, sqlglot_v2_transpile, subparsers
📄table 📈time plot
Geometric mean: 1.387x faster (HPT: reliability of 100.00%, 1.30x faster at 99th %ile)
Memory usage: unknown
missing benchmarks: aiohttp, chameleon, dask, mypy2, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, sqlglot_optimize, sqlglot_parse, sqlglot_transpile, tornado_http
new benchmarks: asyncio_websockets, bpe_tokeniser, connected_components, genshi_text, genshi_xml, html5lib, k_core, many_optionals, pylint, shortest_path, sphinx, sqlglot_v2_normalize, sqlglot_v2_optimize, sqlglot_v2_parse, sqlglot_v2_transpile, subparsers, thrift
📄table 📈time plot
Geometric mean: 1.173x faster (HPT: reliability of 100.00%, 1.04x faster at 99th %ile)
Memory usage: unknown
missing benchmarks: chameleon, djangocms, gevent_hub, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, sqlglot_optimize, sqlglot_parse, sqlglot_transpile, tornado_http
new benchmarks: asyncio_tcp, asyncio_tcp_ssl, pickle, pickle_dict, pickle_list, sqlglot_v2_normalize, sqlglot_v2_optimize, sqlglot_v2_parse, sqlglot_v2_transpile, unpack_sequence, unpickle, unpickle_list
📄table 📈time plot
Geometric mean: 1.089x slower (HPT: reliability of 100.00%, 1.05x slower at 99th %ile)
Memory usage: unknown
📄table 📈time plot
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