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Geometric mean: 1.124x faster (HPT: reliability of 100.00%, 1.10x faster at 99th %ile)
Memory usage: 1.19x
missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, flaskblogging, gunicorn, mypy2, pickle, pickle_dict, pickle_list, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, sqlglot_optimize, sqlglot_parse, sqlglot_transpile, tornado_http, unpack_sequence, unpickle, unpickle_list
new benchmarks: 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: 1.086x faster (HPT: reliability of 100.00%, 1.07x faster at 99th %ile)
Memory usage: 1.18x
missing benchmarks: aiohttp, asyncio_tcp, asyncio_tcp_ssl, chameleon, dask, flaskblogging, gunicorn, pickle, pickle_dict, pickle_list, sqlglot_normalize, sqlglot_optimize, sqlglot_parse, sqlglot_transpile, tornado_http, unpack_sequence, unpickle, unpickle_list
new benchmarks: 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: 1.147x faster (HPT: reliability of 100.00%, 1.07x faster at 99th %ile)
Memory usage: 1.14x
missing benchmarks: chameleon, djangocms, gevent_hub, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, sqlglot_optimize, sqlglot_parse, sqlglot_transpile, tornado_http
new benchmarks: sqlglot_v2_normalize, sqlglot_v2_optimize, sqlglot_v2_parse, sqlglot_v2_transpile
📄table 📈time plot
Geometric mean: 1.064x faster (HPT: reliability of 100.00%, 1.02x faster at 99th %ile)
Memory usage: 1.09x
missing benchmarks: chameleon, djangocms, gevent_hub, sqlalchemy_declarative, sqlalchemy_imperative, sqlglot_normalize, sqlglot_optimize, sqlglot_parse, sqlglot_transpile, tornado_http
new benchmarks: sqlglot_v2_normalize, sqlglot_v2_optimize, sqlglot_v2_parse, sqlglot_v2_transpile
📄table 📈time plot
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