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numpy-minmax

0.3.1	numpy_minmax-0.3.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	numpy_minmax-0.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
	numpy_minmax-0.3.1-cp39-cp39-win_amd64.whl
	numpy_minmax-0.3.1-cp39-cp39-musllinux_1_2_x86_64.whl
	numpy_minmax-0.3.1-cp39-cp39-musllinux_1_2_aarch64.whl
	numpy_minmax-0.3.1-cp39-cp39-macosx_11_0_arm64.whl
	numpy_minmax-0.3.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	numpy_minmax-0.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
	numpy_minmax-0.3.1-cp38-cp38-win_amd64.whl
	numpy_minmax-0.3.1-cp38-cp38-musllinux_1_2_x86_64.whl
	numpy_minmax-0.3.1-cp38-cp38-musllinux_1_2_aarch64.whl
	numpy_minmax-0.3.1-cp38-cp38-macosx_11_0_arm64.whl
	numpy_minmax-0.3.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	numpy_minmax-0.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
	numpy_minmax-0.3.1-cp312-cp312-win_amd64.whl
	numpy_minmax-0.3.1-cp312-cp312-musllinux_1_2_x86_64.whl
	numpy_minmax-0.3.1-cp312-cp312-musllinux_1_2_aarch64.whl
	numpy_minmax-0.3.1-cp312-cp312-macosx_11_0_arm64.whl
	numpy_minmax-0.3.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	numpy_minmax-0.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
	numpy_minmax-0.3.1-cp311-cp311-win_amd64.whl
	numpy_minmax-0.3.1-cp311-cp311-musllinux_1_2_x86_64.whl
	numpy_minmax-0.3.1-cp311-cp311-musllinux_1_2_aarch64.whl
	numpy_minmax-0.3.1-cp311-cp311-macosx_11_0_arm64.whl
	numpy_minmax-0.3.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	numpy_minmax-0.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
	numpy_minmax-0.3.1-cp310-cp310-win_amd64.whl
	numpy_minmax-0.3.1-cp310-cp310-musllinux_1_2_x86_64.whl
	numpy_minmax-0.3.1-cp310-cp310-musllinux_1_2_aarch64.whl
	numpy_minmax-0.3.1-cp310-cp310-macosx_11_0_arm64.whl
	numpy_minmax-0.3.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	numpy_minmax-0.3.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
	numpy_minmax-0.3.1-pp39-pypy39_pp73-win_amd64.whl
	numpy_minmax-0.3.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl
	numpy_minmax-0.3.1-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	numpy_minmax-0.3.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
	numpy_minmax-0.3.1-pp38-pypy38_pp73-win_amd64.whl
	numpy_minmax-0.3.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl

Wheel Details

Project:	numpy-minmax
Version:	0.3.1
Filename:	numpy_minmax-0.3.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Download:	[link]
Size:	30043
MD5:	`66960ac733b215f167a8f32c092c930c`
SHA256:	`9172dc55458617f8208a9fa452001ab789c10d98be8cf533419b4680ffa3b103`
Uploaded:	2024-08-15 08:11:41 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	numpy-minmax
Version:	0.3.1
Summary:	A fast python library for finding both min and max value in a NumPy array
Project-Url:	Homepage, https://github.com/nomonosound/numpy-minmax
License:	MIT License Copyright (c) 2024 Nomono Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Classifier:	Development Status :: 3 - Alpha
Classifier:	Intended Audience :: Developers
Classifier:	Intended Audience :: Science/Research
Classifier:	Topic :: Software Development :: Libraries
Classifier:	Topic :: Multimedia :: Sound/Audio
Classifier:	Topic :: Scientific/Engineering
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Programming Language :: Python :: 3.8
Classifier:	Programming Language :: Python :: 3.9
Classifier:	Programming Language :: Python :: 3.10
Classifier:	Programming Language :: Python :: 3.11
Classifier:	Programming Language :: Python :: 3.12
Requires-Dist:	cffi (>=1.0.0)
Requires-Dist:	numpy (<2,>=1.21)
Requires-Dist:	pytest; extra == "test"
Provides-Extra:	test
Description-Content-Type:	text/markdown
License-File:	LICENSE

[Description omitted; length: 1781 characters]

WHEEL

Wheel-Version:	1.0
Generator:	setuptools (72.2.0)
Root-Is-Purelib:	false
Tag:	cp39-cp39-manylinux_2_5_x86_64
Tag:	cp39-cp39-manylinux1_x86_64
Tag:	cp39-cp39-manylinux_2_17_x86_64
Tag:	cp39-cp39-manylinux2014_x86_64

RECORD

Path	Digest	Size
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numpy_minmax/_version.py	sha256=3T2H17WrgOBZPsUYedaooEHuWmrYRKyTsK0YHkCpe48	440
numpy_minmax/__init__.py	sha256=sfHiHGFCYFRbH4_MGT4Qrr2AnyhG5imCQRM5wunEAnw	1353
numpy_minmax/_minmax_cffi.py	sha256=P5sVC6QXUCtAvdQkCufCQ7N7lyJmzu2qXj-rH87HJrU	1220
numpy_minmax/_minmax.c	sha256=bFAIXxHwoOOGcnkaWH5YuvVaWsCxX1Wn7B9l1iB5g8w	10436
numpy_minmax-0.3.1.dist-info/RECORD	—	—
numpy_minmax-0.3.1.dist-info/WHEEL	sha256=EaUczHGxf8i2rIeV31XyMcMdCIUrk9HWcsWvbIn5IT4	216
numpy_minmax-0.3.1.dist-info/LICENSE	sha256=O-3x-1aaHJPorLGJUFNphc-YzgPMjhmiyTOUbODYa7o	1063
numpy_minmax-0.3.1.dist-info/top_level.txt	sha256=lWZgQ_A9X2cC4wFf4lDfOY5HQ9Rb6iPIEVxgOmvQ9Q4	33
numpy_minmax-0.3.1.dist-info/METADATA	sha256=VdmXKUy0gNebFgPAt4hA5d89vCszqAnyp2SCsfyJB44	3996

top_level.txt

_numpy_minmax

build

numpy_minmax