Skip to main content

Python library for calculating contours of 2D quadrilateral grids

Project description

ContourPy

ContourPy is a Python library for calculating contours of 2D quadrilateral grids. It is written in C++11 and wrapped using pybind11.

It contains the 2005 and 2014 algorithms used in Matplotlib as well as a newer algorithm that includes more features and is available in both serial and multithreaded versions. It provides an easy way for Python libraries to use contouring algorithms without having to include Matplotlib as a dependency.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

contourpy-1.0.0.tar.gz (75.2 kB view details)

Uploaded Source

Built Distributions

contourpy-1.0.0-pp38-pypy38_pp73-win_amd64.whl (297.1 kB view details)

Uploaded PyPy Windows x86-64

contourpy-1.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (521.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

contourpy-1.0.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (542.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

contourpy-1.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (493.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

contourpy-1.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (443.9 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

contourpy-1.0.0-pp37-pypy37_pp73-win_amd64.whl (297.4 kB view details)

Uploaded PyPy Windows x86-64

contourpy-1.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (516.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

contourpy-1.0.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (532.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

contourpy-1.0.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (491.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

contourpy-1.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (225.0 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

contourpy-1.0.0-cp310-cp310-win_amd64.whl (158.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

contourpy-1.0.0-cp310-cp310-win32.whl (140.9 kB view details)

Uploaded CPython 3.10 Windows x86

contourpy-1.0.0-cp310-cp310-musllinux_1_1_x86_64.whl (784.5 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

contourpy-1.0.0-cp310-cp310-musllinux_1_1_i686.whl (845.6 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

contourpy-1.0.0-cp310-cp310-musllinux_1_1_aarch64.whl (759.1 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

contourpy-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (269.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

contourpy-1.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (281.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

contourpy-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (255.7 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

contourpy-1.0.0-cp310-cp310-macosx_11_0_arm64.whl (212.3 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

contourpy-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl (230.9 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

contourpy-1.0.0-cp310-cp310-macosx_10_9_universal2.whl (426.2 kB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

contourpy-1.0.0-cp39-cp39-win_amd64.whl (155.8 kB view details)

Uploaded CPython 3.9 Windows x86-64

contourpy-1.0.0-cp39-cp39-win32.whl (141.0 kB view details)

Uploaded CPython 3.9 Windows x86

contourpy-1.0.0-cp39-cp39-musllinux_1_1_x86_64.whl (785.0 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

contourpy-1.0.0-cp39-cp39-musllinux_1_1_i686.whl (845.7 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

contourpy-1.0.0-cp39-cp39-musllinux_1_1_aarch64.whl (759.6 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

contourpy-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (270.2 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

contourpy-1.0.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (280.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

contourpy-1.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (256.1 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

contourpy-1.0.0-cp39-cp39-macosx_11_0_arm64.whl (212.5 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

contourpy-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl (231.1 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

contourpy-1.0.0-cp39-cp39-macosx_10_9_universal2.whl (426.5 kB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

contourpy-1.0.0-cp38-cp38-win_amd64.whl (158.1 kB view details)

Uploaded CPython 3.8 Windows x86-64

contourpy-1.0.0-cp38-cp38-win32.whl (140.9 kB view details)

Uploaded CPython 3.8 Windows x86

contourpy-1.0.0-cp38-cp38-musllinux_1_1_x86_64.whl (784.6 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

contourpy-1.0.0-cp38-cp38-musllinux_1_1_i686.whl (845.2 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

contourpy-1.0.0-cp38-cp38-musllinux_1_1_aarch64.whl (759.6 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

contourpy-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (269.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

contourpy-1.0.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (280.4 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

contourpy-1.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (255.8 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

contourpy-1.0.0-cp38-cp38-macosx_11_0_arm64.whl (212.4 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

contourpy-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl (230.9 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

contourpy-1.0.0-cp38-cp38-macosx_10_9_universal2.whl (426.1 kB view details)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

contourpy-1.0.0-cp37-cp37m-win_amd64.whl (158.5 kB view details)

Uploaded CPython 3.7m Windows x86-64

contourpy-1.0.0-cp37-cp37m-win32.whl (141.5 kB view details)

Uploaded CPython 3.7m Windows x86

contourpy-1.0.0-cp37-cp37m-musllinux_1_1_x86_64.whl (782.4 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ x86-64

contourpy-1.0.0-cp37-cp37m-musllinux_1_1_i686.whl (845.0 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

contourpy-1.0.0-cp37-cp37m-musllinux_1_1_aarch64.whl (761.1 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

contourpy-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (267.6 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

contourpy-1.0.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (275.3 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

contourpy-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (255.2 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

contourpy-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl (225.3 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file contourpy-1.0.0.tar.gz.

File metadata

  • Download URL: contourpy-1.0.0.tar.gz
  • Upload date:
  • Size: 75.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0.tar.gz
Algorithm Hash digest
SHA256 37a040e73a5849124c04e193d39c2b930e9b544292dea40b9d6e3bfaa706450d
MD5 182a6160c4e6a8c935554a3d8a598c31
BLAKE2b-256 c19de9af25b59083a6d8122830992976ad7cfb922630989881e6a9660118fd41

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-pp38-pypy38_pp73-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.0.0-pp38-pypy38_pp73-win_amd64.whl
  • Upload date:
  • Size: 297.1 kB
  • Tags: PyPy, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 05b875a1dd766e693be5c7ffab2b38bb15d93acca9c8c2c45dc7e3939519e7d4
MD5 82496785d1069731b7d1b761430ee311
BLAKE2b-256 96e98b802dce0cedebd84705d41b32420e952e21df7cc7293cdd25e5c95fb5e9

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 521.1 kB
  • Tags: PyPy, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3a4eb6dca4840617fb1424e7eb97c7d79b3bfc6f88d6976bffa307e87ef94718
MD5 3cf2ca5fda351a8d4e130a924392b77e
BLAKE2b-256 f90ab77142d6485449911a1c9036c9b26e9a40ad7146937cb4979b825c635173

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: contourpy-1.0.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 542.4 kB
  • Tags: PyPy, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 932e9064a42e221b717dbe1da2d83145ade1aaa91eb59c80aad9db27d4ad79fc
MD5 adb260952be4ccd305577351483277be
BLAKE2b-256 39d0a30c1b5a7d2597e6d2b8f646b1de64d4bb36c535d423e0fb29a77c39c644

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: contourpy-1.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 493.3 kB
  • Tags: PyPy, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 bd29717606939202f755f8ed78e3f059b5694e55fe65785ba0a07eb87c90356a
MD5 fb5d1c499a50001d82ff26b40cf71aed
BLAKE2b-256 a58b0e0479403e44ec52b23aba6ab3b392b0b715563245dfc55540351ba06324

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 443.9 kB
  • Tags: PyPy, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 117f2cdd45e13ed5711a082c769bf2708044745862672c79b44b168531607830
MD5 b49ff3c97ba9908939ba99fd9aa483d6
BLAKE2b-256 2878cd76a5bf4c2b96abe1ee90416f1f4f2b4811326edc098714f0c22c13173a

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-pp37-pypy37_pp73-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.0.0-pp37-pypy37_pp73-win_amd64.whl
  • Upload date:
  • Size: 297.4 kB
  • Tags: PyPy, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 4f86586147d713e1c54559a73379b2798420035a17d0264a645a48c6c018dfa0
MD5 9bb7c88df371f7c4f38a498f53441418
BLAKE2b-256 894fcee38327137f0f383e7a7b76ceca6847bbc04a548398d183f08f1f0843eb

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 516.9 kB
  • Tags: PyPy, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5ee540e6efa732cc9b6967201cd62bbf73b6c1abdd8a59d8c881f8bb1f562b7e
MD5 bf8449a9e4aac60738852cb81d38ad01
BLAKE2b-256 0d8802fad0290782b544019998447bb6b5b79557f66f25c271b305519fa698be

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: contourpy-1.0.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 532.3 kB
  • Tags: PyPy, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a494fbd101b9301f4ad4bf1424636925c06f8f44ccda96c8a391eb23ff97bec4
MD5 263fffc11632f77f543518424b82aeed
BLAKE2b-256 21edc9909110d352a10885ce266aa523bc0e0c79d4e7be2f87d15ae22999241b

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: contourpy-1.0.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 491.9 kB
  • Tags: PyPy, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0e6a1a27caad86725a1c117aeb6d3ef154f415f0941eb515aedccf91d3ba0d61
MD5 99a55ee81c7640b2c7ab55fc9fec099f
BLAKE2b-256 fa9a6c7884e42be43a37500c7fee36973bd3aa169a3788e197a2635586ab0c13

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 225.0 kB
  • Tags: PyPy, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f550d3d5faf9d34cb79ef05d91a29738e4aedde6ff7052242b91c1866ceab5ab
MD5 994011244331dc83525672bf6d47779d
BLAKE2b-256 76fd5a6c85c5d840d0ab19ec2e4e5810ab29ed13e29c597eb7d4731c8ff101de

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 158.0 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 98602e424373bdf47c56d97e4b49db514a488315aaac9e6139d9201371ba34ea
MD5 5027bb24170544814b74d413ca4fa774
BLAKE2b-256 894672c07a0dd7901eaa0b8e8328266373345e3bd9976d4d8253486215aa38bb

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 140.9 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 2ede27f5d04aa73877ff1e93763f7c1d366acbc9ffe6c58b25e1ed79ed777bbb
MD5 d4cafd82339e8b6212bbffdaeeb6db7a
BLAKE2b-256 2e0f995c3e1a6916fa3d00a0ba2a19e972e4d96f5f365d8865b5655c67999d49

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp310-cp310-musllinux_1_1_x86_64.whl
  • Upload date:
  • Size: 784.5 kB
  • Tags: CPython 3.10, musllinux: musl 1.1+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c8cbd30c0551ce0864111c77b3061e670b3395b4512bd503b0d6d197408ecf12
MD5 cd294b4431efdd24f2ae76b05aa91fa7
BLAKE2b-256 2384ff6d0faafb48d58340e969492730020541387815235692364df723a6f21e

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp310-cp310-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 845.6 kB
  • Tags: CPython 3.10, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 49cab85c6352fed54c5d995e80fdc8424ea30dc3444fefff7bf685a8a58a606b
MD5 6e4d2bd505e5c00ef015fe8e6383a034
BLAKE2b-256 148b60fe79e09deb1a20f80c9fb0b272f955d79474e6a664db71a07ecfb51d0c

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp310-cp310-musllinux_1_1_aarch64.whl
  • Upload date:
  • Size: 759.1 kB
  • Tags: CPython 3.10, musllinux: musl 1.1+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 671a6646c592ef68580befa6ef01ed0133e927891003aa96a7f4100f94e13fcc
MD5 61c85de710b69d22a4312b70476077c9
BLAKE2b-256 8042a13553c6b881b89f2c566aeebac242245baddb8854e7bb555cca8e075586

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 269.1 kB
  • Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ec5b9f4193f1ed733e3544a1f63e3509acef319542be6872ee7bf9dae9e8abd1
MD5 645ada4300a3b4971dc147ccbf7bad1e
BLAKE2b-256 7c51c75ec2a947778398a6a46e1c0d88fa00714f521b0358045b52401cc8aba1

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 281.1 kB
  • Tags: CPython 3.10, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 8424dba67cf418c3fb42d1c7e87a43a0a0eb1a63f744deaa9508cbb413d15ce2
MD5 c705be86782b1fe47b5ea22995732aee
BLAKE2b-256 569761f16f9e20d2288281f8e1eaef510abc9e72c0874821ddb876833fbbbbe0

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 255.7 kB
  • Tags: CPython 3.10, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 10c0ba13581ec141fe124a60a700a7cc4005757bf53b10d28a09fea03a67b845
MD5 5cf272bd5fc0e5bbfca4daa6d949b72a
BLAKE2b-256 d59cbad658761a6e302958c2bf0b9d4a18065a7e082c049f7c5b14a34731231a

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp310-cp310-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 212.3 kB
  • Tags: CPython 3.10, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1892edb08dc8894d2c83d583b552715f041ac89388e28e2b4edb218b77f7dc50
MD5 f53757ed5783fac0a79fc8a326495392
BLAKE2b-256 f2074eaf150ae84960b92362189fe53ba92f9a6d9a6407277a562872ef3d88f8

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 230.9 kB
  • Tags: CPython 3.10, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c321d4673a8b6e8c1a8e70a2b1d05f809930e72dc5c7e010b5f06db2717f1bc5
MD5 820c7a2f419b7ad24dc3b3d75bad4d92
BLAKE2b-256 00825189638180d0e8cea463053c4c29c024ffcb1b14d8a2fae2f226528b61f9

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp310-cp310-macosx_10_9_universal2.whl
  • Upload date:
  • Size: 426.2 kB
  • Tags: CPython 3.10, macOS 10.9+ universal2 (ARM64, x86-64)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 ed7c8f06f01a7da4e58547f7f9c5572abf83b7b248cd5d10f7dfc287ff0e6307
MD5 5bfb2cb0997ae1e9d2f2c6b378f49cec
BLAKE2b-256 bab135b75c30740e16c2e5df105a34199cf61179150ae11cccbe79be564f7cb2

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 155.8 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 764541920e4ba1190310ba28ca723a82894cf409f63cf326684e0f5e9538cd4b
MD5 d579446de341ae2204835869e4d7d09f
BLAKE2b-256 2ce24d7962842ce1475eb534c0543b51a328d5756738c1cb743ffe576de0b20a

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 141.0 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 0b1d90ec22269e6315d1c3e0ab7f89174c95f78c856534d5aa5563bf2a95376e
MD5 527444ae740977fa6db6994835b61438
BLAKE2b-256 59529c86202a90d8fb6e7d1174cb45dda5e93291e579d6ab58214230602ba614

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp39-cp39-musllinux_1_1_x86_64.whl
  • Upload date:
  • Size: 785.0 kB
  • Tags: CPython 3.9, musllinux: musl 1.1+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 6cd3c8a68014961fbed7aeca6f6448b041925a041211509daca8704f70b75984
MD5 006dde1e64d4aa09318a54f214675d04
BLAKE2b-256 e6ea69f79853eeb5f9315b1bfa5fbce4c6013ee71e600fa8fb3fbc8601a517ce

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp39-cp39-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 845.7 kB
  • Tags: CPython 3.9, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 bc605c60d6e73a2638b2ecf2631bacd7174587c0d481f9a3d4ce67943767b878
MD5 eb7fdfd94555a2e5f0233fedc3967137
BLAKE2b-256 bc9a0e3733c63dffabade0a9196e75b4e45d8823045656e13ed69b209a038fb6

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp39-cp39-musllinux_1_1_aarch64.whl
  • Upload date:
  • Size: 759.6 kB
  • Tags: CPython 3.9, musllinux: musl 1.1+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 fe494ec37d92e2a06f6bd63ecac38ad94771b5ee35de7c4576b43fc4232947b5
MD5 536deade0108c13b9e42d7533f090241
BLAKE2b-256 fb0b5bffd4713be72136c2455badf85d13d1a238f29a25b91efef7c370dbdb97

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 270.2 kB
  • Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b9ae9d50b1a6483395032391c302f1faa64a5d5bf3225c8a08976ea0e1f49a30
MD5 04442f9fb02b80869b74f9c30514a417
BLAKE2b-256 48aca7a2e3c39921311e80c3f8696bcf08bc807cc00364e0ecb83826204b478b

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 280.6 kB
  • Tags: CPython 3.9, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 da96024885c6f55fe99181c2e774b9ed6ed9076e8e01a75e349fdc8e80d7f576
MD5 adaa959827365a1d295bc34c3f80a735
BLAKE2b-256 f61ed5e388a596c4363e82405e90578f806ee254e74bbe3b5bdf805cd6e552a0

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 256.1 kB
  • Tags: CPython 3.9, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7bcffb183c87b67ffff997f23db0621a9b41591f721a47eb7cec30f684f60d5e
MD5 1960cc2b60f44c5ec3ca9b0c926bf4a9
BLAKE2b-256 5019452e07d43332e3f251ee33ddd8122a179c5de6a4a372d85212eafa75fca6

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 212.5 kB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e9b7b83f7ac512ec494d2aa4c02458ff9bf17ab8ffcc9199c50c3bad68a3bff2
MD5 3229b5ec2812952febb1a25f62e3b7ad
BLAKE2b-256 e3ee4084379a674c8272c5f4cdef93453626829ed395f82c1dc9d4cb387dd3a3

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 231.1 kB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f632164e2b7e3e64025d31799027a9b78a8b28187c620caa8f43da6b5ed1ad7c
MD5 08e24eeb180c1e289c77e4544a7cf0ec
BLAKE2b-256 57ce1cf0b546a44ef0fbe554ca2f961c7c0516b788b81dcd9b703ade03ce5c17

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp39-cp39-macosx_10_9_universal2.whl
  • Upload date:
  • Size: 426.5 kB
  • Tags: CPython 3.9, macOS 10.9+ universal2 (ARM64, x86-64)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 7503da3345849e06579f58c3946a7edd618216c1538ff97ae8e596b4adc0e833
MD5 7b25d0008f625c318ce8dad8617c0d68
BLAKE2b-256 436290e117afbbda24b509b0f7814792b0671dcb5dbe7204920f00f3e3b54d1a

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 158.1 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 55ece0b353da2538652b97ffb17006f29cefa30649c2043318584876152c7a3f
MD5 cd6205d65ff3b5ac8f161f45a043721f
BLAKE2b-256 5bc4dc4d9c5ea891d692719bf2a79d1b46bcd9b737d54779cfae88ce1dc51107

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 140.9 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 f9f5ebac4c9c0f9c5e534ddd6fbd08e0799e8bb98d0ec53802a740161c4b02c9
MD5 ac48e4016f5aabff679afb887d90c04d
BLAKE2b-256 7dfc4aa964d46873b87feb0abe9e77d0a34142959819cbf905cb41bfdd7ee987

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp38-cp38-musllinux_1_1_x86_64.whl
  • Upload date:
  • Size: 784.6 kB
  • Tags: CPython 3.8, musllinux: musl 1.1+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 d1bd9bc9d431aa3b05a9656347530488b62322113fe637afc381316f6a7d4639
MD5 e6f8c13984618041f80dfdf5d6b6827f
BLAKE2b-256 d81196a009314d5896cb3c0fee4111360989e333c88061a09ecebea90458010c

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp38-cp38-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 845.2 kB
  • Tags: CPython 3.8, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 68148618c3dce5f31fb8ea2271255b8ebe74c7ae2bb0a8d7617a0030dda8a8f9
MD5 38c23bb7a7c8446bac0640c94b1495bd
BLAKE2b-256 927d141cb078957e8e6e034a623f6e10e170e28c5e31f3525611bd36eefbdd65

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp38-cp38-musllinux_1_1_aarch64.whl
  • Upload date:
  • Size: 759.6 kB
  • Tags: CPython 3.8, musllinux: musl 1.1+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 63b8d18ad6191ae9d6f0e606eb7d9bfe64206149e78c02ac1215d786077550f3
MD5 52f0ad293bdf62005ba78b5402eb3c1f
BLAKE2b-256 e1fb7eab3143075f5547b7963f19f6831c314a9b3f2c0e3aca11bf1f3b79d412

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 269.7 kB
  • Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6efea7dc5974d2dbae555c2b86f95e2dd8478e72c4673b284decf984c31d0a65
MD5 eab089f4bafb405d96f0e745150e4550
BLAKE2b-256 8f78b3365d23262b7b48730071e13cec68117ac0e686b228e12df43b03e6cb68

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 280.4 kB
  • Tags: CPython 3.8, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 1a4b03dbab53e69f66c5152b2e28801950c03ace131c62b9ffc3ed34a3bc0022
MD5 b1d2185b337d94a281d59912d12164d2
BLAKE2b-256 afc61c5502f1adb6d9ffb73a1d472bef2debbf173cacb94d4f55214a77943554

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 255.8 kB
  • Tags: CPython 3.8, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c81011e0d70a4588b09f2577699d8de5d29c9ce21ac864f2dfcf23fea43e0a4b
MD5 f5a7ec5bdbc87eaf9645396a32c20e20
BLAKE2b-256 639f367931920f242e27fa9a4af63e37e7adbcdbec9f17866501850235adfda3

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 212.4 kB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0ee59b8542d5a8ad4daa78dbfa2827ac1f4888b33c8f86892198c4c379ed9c19
MD5 7077fa869e8cbfab3521f22d0953844e
BLAKE2b-256 5e331c64c8e4f114497e5b4893c8efaeaded0a213bcea3187f4cffb0db495188

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 230.9 kB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b19b04ff987ba7e154ceb137fcca44703861990136cd65e9270e1558457a8b71
MD5 cd53e974297cd8e8c5b7a9bbdf5ec501
BLAKE2b-256 f30315fe5db87b311416a87b2fb12c8aa2dd93bedde8f280a708ee47a84c4db6

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp38-cp38-macosx_10_9_universal2.whl
  • Upload date:
  • Size: 426.1 kB
  • Tags: CPython 3.8, macOS 10.9+ universal2 (ARM64, x86-64)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 0d1b661b06812109c68456a7223a5809a226799500b548d56e04eb84d923766a
MD5 75b2cfca8e119fd1c32c2cbd0ca65f21
BLAKE2b-256 e912036e877668bf556ed3c4dbde437dc93f341de65c3675d9e3ce77c66b4add

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 158.5 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 f7511197ca9592f611266efc98f5a850a1e7aaa4b7894885888c2940c4cab94f
MD5 317d0742428fc3baafc18441de181818
BLAKE2b-256 2084f2b09ede9e5a874eb3e4c2369f3839016b6477cd6c327d7a8770d54f52ec

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 141.5 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 48ff00b1d2372f48c4dbc858e74c2b4392237034ad0be407c17ce4266ab520bc
MD5 2f796a90bc1427906a31e98da6aadb3d
BLAKE2b-256 338c914bbe2d141ac0096d09269726df6989a0a7ea78033c1099cbfdc9d387d1

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp37-cp37m-musllinux_1_1_x86_64.whl
  • Upload date:
  • Size: 782.4 kB
  • Tags: CPython 3.7m, musllinux: musl 1.1+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 aaff97d252cb8561de0dde550b3938f95ab9783661883e1759f40bae19b77d88
MD5 a4d0fb68ac4a7c7fd7f9f25f662f3566
BLAKE2b-256 cc83536623d949f2a687f9c59eeb027aaa3cf0ec1ea67d637c47e81cd744f463

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp37-cp37m-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 845.0 kB
  • Tags: CPython 3.7m, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 e2ca74802f80b0fda246f10e7d5c3f966e8cb59e1234d3eeac57ca6f2a3bb18e
MD5 94f02cf7e692b80adf5f858c7b198811
BLAKE2b-256 7a2d4a5f21a7aa273b941a54fd811851a03223cd36c25a4e9fada7c0c94b2468

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp37-cp37m-musllinux_1_1_aarch64.whl
  • Upload date:
  • Size: 761.1 kB
  • Tags: CPython 3.7m, musllinux: musl 1.1+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 7008ca78488b5ff259aebd4e717fdf5f66aa109c9fdefdd2f43fe7e4e21d5d60
MD5 da18bd7afaac4e8b265b5389a715591c
BLAKE2b-256 c729175fbe464d3984325d371482066fcc89c36c16d2d1734e80aca5eb45fc5c

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 267.6 kB
  • Tags: CPython 3.7m, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 697dee227b9052c1651fb09cf4e1e2713a09cc2b9a3ed6e0ecbabb9e49094cc4
MD5 d551a19780a9d09d736edd012d8c1c3b
BLAKE2b-256 b80cb30b71764934f3466404213938d11d88df587c944b60551d0f88ed622da7

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 275.3 kB
  • Tags: CPython 3.7m, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c41d3a5be0e4d20a3f8d25a36c254729ee45240d2b2c0084cc5b20c9e432c26b
MD5 482921c00bf165badd5657118de04aae
BLAKE2b-256 eafb4364ef5c0787c285c0e28d04d9fa98afce9f2f33e847c822e3cb8382a368

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 255.2 kB
  • Tags: CPython 3.7m, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 fd01856d7f9942bb579d06ed8ecb6fd0bb98713a3009a68b6fd3fdc8a371e5ef
MD5 8dffb48ee63a9cd5d05474bbed79b2dc
BLAKE2b-256 c01ceb27ff6ee944a69f57575289800c0d522e8526e5233c59db300571c727a4

See more details on using hashes here.

File details

Details for the file contourpy-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: contourpy-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 225.3 kB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.0 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for contourpy-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 7f7f8cad39f2a9c08250be0ef66325ae81127b47d531e9489f4b38ba83d3981a
MD5 6f889e5845f0766733ea5a0adc509c2b
BLAKE2b-256 993186128f7e8de2c5fb49c1c8fc12613ba7aadc3360983b6d44785554ce9e49

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page