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autotuning_methodology

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0.1.0b1 autotuning_methodology-0.1.0b1-py3-none-any.whl

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Project: autotuning_methodology
Version: 0.1.0b1
Filename: autotuning_methodology-0.1.0b1-py3-none-any.whl
Download: [link]
Size: 45433
MD5: ab36800fed7bef2ed5314d1e21ded2d6
SHA256: b4392d0c1e24c4b49639e11a6ec504bfdbb3383675196a8172b6de1dc5d6af47
Uploaded: 2023-06-02 07:17:09 +0000

dist-info

METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: autotuning_methodology
Version: 0.1.0b1
Summary: Software package easing implementation of the guidelines of the 2023 paper 'A Methodology for Comparing Auto-Tuning Optimization Algorithms'.
Author-Email: Floris-Jan Willemsen <fjwillemsen97[at]gmail.com>
Project-Url: Bug Tracker, https://github.com/fjwillemsen/autotuning_methodology/issues
Project-Url: Documentation, https://fjwillemsen.github.io/autotuning_methodology/
Project-Url: Repository, https://github.com/fjwillemsen/autotuning_methodology
Keywords: autotuning,auto-tuning,methodology,scientific
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.9
Requires-Dist: numpy (>=1.22.4)
Requires-Dist: scikit-learn (>=1.0.2)
Requires-Dist: matplotlib (>=3.7.1)
Requires-Dist: yappi (>=1.4.0)
Requires-Dist: progressbar2 (>=4.2.0)
Requires-Dist: jsonschema (>=4.17.3)
Requires-Dist: nonconformist (>=2.1.0)
Requires-Dist: kernel_tuner (>=0.4.5)
Requires-Dist: pylint (>=2.14.4); extra == "dev"
Requires-Dist: black (>=23.3.0); extra == "dev"
Requires-Dist: sphinx (>=6.2.1); extra == "docs"
Requires-Dist: sphinx_rtd_theme (>=1.2.0); extra == "docs"
Requires-Dist: sphinx-pyproject (>=0.1.0); extra == "docs"
Requires-Dist: ruff (>=0.0.263); extra == "test"
Requires-Dist: pep440 (>=0.1.2); extra == "test"
Requires-Dist: pytest (>=7.3.1); extra == "test"
Requires-Dist: pytest-cov (>=4.0.0); extra == "test"
Requires-Dist: nox (>=2023.4.22); extra == "test"
Requires-Dist: crepes (>=0.2.0); extra == "test"
Requires-Dist: tomli (>=2.0.1); extra == "test"
Provides-Extra: dev
Provides-Extra: docs
Provides-Extra: test
Description-Content-Type: text/markdown
[Description omitted; length: 6165 characters]

WHEEL

Wheel-Version: 1.0
Generator: flit 3.9.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
autotuning_methodology/__init__.py sha256=g3Q3YLtzf_46E6wuW1A4d5HNahilwFhceUPxYOVcxEs 42
autotuning_methodology/baseline.py sha256=YUoccPtywcOQ5SA_l1CmXkacuSnMcDJXl5gvzEUsERI 16103
autotuning_methodology/caching.py sha256=VcYk4Ph01SR-79LHZ-m8DE62wjTMJ0dxX23ba6XfOGU 8418
autotuning_methodology/curves.py sha256=GrVkjiZWY4vfDDpVR8pktmeHuMd_ixGW37rOBz-XVIA 50283
autotuning_methodology/experiments.py sha256=JNYx6YP8ISkt2Pg0UUBSu6g2FpRKvENLLHC3I44hfjs 9689
autotuning_methodology/runner.py sha256=BO7n7FXPEhBBctpV9ZH93eg36Qq-KmfonZWhickCDCc 16513
autotuning_methodology/schema.json sha256=HxdBBVCY4hsrE3dsGlF5cGEKYHS6tYYgLv-CxjF40ZY 4138
autotuning_methodology/searchspace_statistics.py sha256=OU7ueGA6-90z52XJ2fbk_VuwLG1jaTgTFQStETezoxM 21440
autotuning_methodology/visualize_experiments.py sha256=FHeJalMmLE1HVjHxVSFYI70pIbRh9xlejJduDLYxyF0 47912
autotuning_methodology-0.1.0b1.dist-info/entry_points.txt sha256=GSR6-nkntWQGuOBzPR94OSVUQG4XJibjmZubiWXzylc 166
autotuning_methodology-0.1.0b1.dist-info/LICENSE sha256=F53xUaSOESu7crHw0-zm4sqFlqHkSjRz7MWSmHfMNGA 1077
autotuning_methodology-0.1.0b1.dist-info/WHEEL sha256=EZbGkh7Ie4PoZfRQ8I0ZuP9VklN_TvcZ6DSE5Uar4z4 81
autotuning_methodology-0.1.0b1.dist-info/METADATA sha256=qfYuhWHYSJ26_yvy2x0d_4OumjbSVRTDpug2DV8ej38 7995
autotuning_methodology-0.1.0b1.dist-info/RECORD — —

entry_points.txt

[console_scripts]
autotuning_experiment = autotuning_methodology.experiments:entry_point
autotuning_visualize = autotuning_methodology.visualize_experiments:entry_point