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.

Latest release PyPI version conda-forge version anaconda version
Downloads PyPi downloads conda-forge downloads
Python version Platforms

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-1.0.6.tar.gz (12.2 MB view details)

Uploaded Source

Built Distributions

contourpy-1.0.6-pp39-pypy39_pp73-win_amd64.whl (163.4 kB view details)

Uploaded PyPy Windows x86-64

contourpy-1.0.6-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (250.5 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

contourpy-1.0.6-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (262.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

contourpy-1.0.6-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (238.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

contourpy-1.0.6-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (235.0 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

contourpy-1.0.6-pp38-pypy38_pp73-win_amd64.whl (163.2 kB view details)

Uploaded PyPy Windows x86-64

contourpy-1.0.6-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (251.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

contourpy-1.0.6-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (263.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

contourpy-1.0.6-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (239.5 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

contourpy-1.0.6-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (235.1 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

contourpy-1.0.6-pp37-pypy37_pp73-win_amd64.whl (163.1 kB view details)

Uploaded PyPy Windows x86-64

contourpy-1.0.6-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (251.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

contourpy-1.0.6-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (263.6 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

contourpy-1.0.6-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (239.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

contourpy-1.0.6-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (235.0 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

contourpy-1.0.6-cp311-cp311-win_amd64.whl (163.6 kB view details)

Uploaded CPython 3.11 Windows x86-64

contourpy-1.0.6-cp311-cp311-win32.whl (144.0 kB view details)

Uploaded CPython 3.11 Windows x86

contourpy-1.0.6-cp311-cp311-musllinux_1_1_x86_64.whl (810.2 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

contourpy-1.0.6-cp311-cp311-musllinux_1_1_i686.whl (867.3 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

contourpy-1.0.6-cp311-cp311-musllinux_1_1_aarch64.whl (783.4 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

contourpy-1.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (296.1 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

contourpy-1.0.6-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (302.0 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

contourpy-1.0.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (278.7 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

contourpy-1.0.6-cp311-cp311-macosx_11_0_arm64.whl (225.8 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

contourpy-1.0.6-cp311-cp311-macosx_10_9_x86_64.whl (240.6 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

contourpy-1.0.6-cp311-cp311-macosx_10_9_universal2.whl (448.7 kB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

contourpy-1.0.6-cp310-cp310-win_amd64.whl (163.6 kB view details)

Uploaded CPython 3.10 Windows x86-64

contourpy-1.0.6-cp310-cp310-win32.whl (144.1 kB view details)

Uploaded CPython 3.10 Windows x86

contourpy-1.0.6-cp310-cp310-musllinux_1_1_x86_64.whl (810.1 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

contourpy-1.0.6-cp310-cp310-musllinux_1_1_i686.whl (867.2 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

contourpy-1.0.6-cp310-cp310-musllinux_1_1_aarch64.whl (783.4 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

contourpy-1.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (296.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

contourpy-1.0.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (302.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

contourpy-1.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (278.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

contourpy-1.0.6-cp310-cp310-macosx_11_0_arm64.whl (225.9 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

contourpy-1.0.6-cp310-cp310-macosx_10_9_x86_64.whl (240.6 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

contourpy-1.0.6-cp310-cp310-macosx_10_9_universal2.whl (448.8 kB view details)

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

contourpy-1.0.6-cp39-cp39-win_amd64.whl (161.3 kB view details)

Uploaded CPython 3.9 Windows x86-64

contourpy-1.0.6-cp39-cp39-win32.whl (144.2 kB view details)

Uploaded CPython 3.9 Windows x86

contourpy-1.0.6-cp39-cp39-musllinux_1_1_x86_64.whl (810.4 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

contourpy-1.0.6-cp39-cp39-musllinux_1_1_i686.whl (866.2 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

contourpy-1.0.6-cp39-cp39-musllinux_1_1_aarch64.whl (780.6 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

contourpy-1.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (296.3 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

contourpy-1.0.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (302.2 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

contourpy-1.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (280.3 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

contourpy-1.0.6-cp39-cp39-macosx_11_0_arm64.whl (226.0 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

contourpy-1.0.6-cp39-cp39-macosx_10_9_x86_64.whl (240.8 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

contourpy-1.0.6-cp39-cp39-macosx_10_9_universal2.whl (449.1 kB view details)

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

contourpy-1.0.6-cp38-cp38-win_amd64.whl (163.5 kB view details)

Uploaded CPython 3.8 Windows x86-64

contourpy-1.0.6-cp38-cp38-win32.whl (144.1 kB view details)

Uploaded CPython 3.8 Windows x86

contourpy-1.0.6-cp38-cp38-musllinux_1_1_x86_64.whl (810.0 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

contourpy-1.0.6-cp38-cp38-musllinux_1_1_i686.whl (866.4 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

contourpy-1.0.6-cp38-cp38-musllinux_1_1_aarch64.whl (783.7 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

contourpy-1.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (296.0 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

contourpy-1.0.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (301.9 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

contourpy-1.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (278.8 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

contourpy-1.0.6-cp38-cp38-macosx_11_0_arm64.whl (225.7 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

contourpy-1.0.6-cp38-cp38-macosx_10_9_x86_64.whl (240.6 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

contourpy-1.0.6-cp38-cp38-macosx_10_9_universal2.whl (448.6 kB view details)

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

contourpy-1.0.6-cp37-cp37m-win_amd64.whl (163.2 kB view details)

Uploaded CPython 3.7m Windows x86-64

contourpy-1.0.6-cp37-cp37m-win32.whl (145.3 kB view details)

Uploaded CPython 3.7m Windows x86

contourpy-1.0.6-cp37-cp37m-musllinux_1_1_x86_64.whl (803.2 kB view details)

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

contourpy-1.0.6-cp37-cp37m-musllinux_1_1_i686.whl (859.4 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

contourpy-1.0.6-cp37-cp37m-musllinux_1_1_aarch64.whl (781.5 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

contourpy-1.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (292.8 kB view details)

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

contourpy-1.0.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (293.2 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

contourpy-1.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (281.4 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

contourpy-1.0.6-cp37-cp37m-macosx_10_9_x86_64.whl (234.7 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file contourpy-1.0.6.tar.gz.

File metadata

  • Download URL: contourpy-1.0.6.tar.gz
  • Upload date:
  • Size: 12.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for contourpy-1.0.6.tar.gz
Algorithm Hash digest
SHA256 6e459ebb8bb5ee4c22c19cc000174f8059981971a33ce11e17dddf6aca97a142
MD5 0ed85863802b1323708b400ae7e7bbd7
BLAKE2b-256 8f4f8a5789867f2a928fd9b32e7e8d4bc0f27a765aa7056989e7427f2c2a1966

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 9b0e7fe7f949fb719b206548e5cde2518ffb29936afa4303d8a1c4db43dcb675
MD5 65e8bb86fc97d672172d0a92fb3fba8a
BLAKE2b-256 2da258cd0d944669a0f20ef55001008c47108723bbd658ad1e7b4a57e727e3bc

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 84c593aeff7a0171f639da92cb86d24954bbb61f8a1b530f74eb750a14685832
MD5 7cf3e9af0d72f058c4ef978e53644976
BLAKE2b-256 eba9d0eacc00223ed434f210e4c825127a9f72fa99484611377fd0698515053f

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 0236875c5a0784215b49d00ebbe80c5b6b5d5244b3655a36dda88105334dea17
MD5 316d740e86e24d7d0d8106aaea08e947
BLAKE2b-256 e4b564ad0efc0998bebb6bbb4df222312c168487fbbd6d4aed5fac82e4473f73

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0b97454ed5b1368b66ed414c754cba15b9750ce69938fc6153679787402e4cdf
MD5 397cc03367e2683167ec2556c0b1b919
BLAKE2b-256 0d79bc9e0e7090b7c811bafa939d68b9bfebe2b2fc5c72ebf89bcd2e6bb497d0

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 7ee394502026d68652c2824348a40bf50f31351a668977b51437131a90d777ea
MD5 d58025e29508259114f3a2542269d0f6
BLAKE2b-256 cd5c92aa30d796e3265e4d8b7c3750eb07a16e7058f2a069feca64556c6272e8

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 5641927cc5ae66155d0c80195dc35726eae060e7defc18b7ab27600f39dd1fe7
MD5 05c096252f1151ff695fd3868c2dc5b4
BLAKE2b-256 8052167e4becd9ee2068ad0afd9ab62579ab15889d895b3ca07d052d57d7a5d3

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1b1ee48a130da4dd0eb8055bbab34abf3f6262957832fd575e0cab4979a15a41
MD5 389a73cba79240e53c0a42a02d58931b
BLAKE2b-256 6b1b55dd9331ad9edd40415128b4b00bd76fe3607d4cd8f17c1f4776d9807311

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c38c6536c2d71ca2f7e418acaf5bca30a3af7f2a2fa106083c7d738337848dbe
MD5 0ebe7a9c90bcf37908ba5b36f21fa88f
BLAKE2b-256 febb4f83fb229f67a6006cdfb72db4499f2a274700d418433a9b290cbbf420e7

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 211dfe2bd43bf5791d23afbe23a7952e8ac8b67591d24be3638cabb648b3a6eb
MD5 12209b529aafa2e5027ce0c7d040d976
BLAKE2b-256 05f0adc75b266176d7d05d4ca9a84ab07f5db14d5b91363ef7565c9bb39e4b72

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c1baa49ab9fedbf19d40d93163b7d3e735d9cd8d5efe4cce9907902a6dad391f
MD5 0e2430e4617c0677910727e2e8ad8c9a
BLAKE2b-256 b4b9a1371f75c45aec6e936e5035f84f5277c3474bddf573225c237d90f27abf

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 f6ca38dd8d988eca8f07305125dec6f54ac1c518f1aaddcc14d08c01aebb6efc
MD5 a79651e4dfff4a0988786dd165db7528
BLAKE2b-256 3dd23e4e6eeefbf64bdb392f094ae4aef6190692100d0a75ba23747a14865afd

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dcd556c8fc37a342dd636d7eef150b1399f823a4462f8c968e11e1ebeabee769
MD5 7c6b03ff458ac89ae80e1535b3b7d26b
BLAKE2b-256 378796e9af4d4ae73341c963f33ef36ba6be759619162b82a46becc75e7ad577

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 0537cc1195245bbe24f2913d1f9211b8f04eb203de9044630abd3664c6cc339c
MD5 450cb694dc82bc8c8839dc6e8685fa46
BLAKE2b-256 59d18169d34a7285de44e12bf1be13ca6844991d5445c16b067896ca4873e747

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4081918147fc4c29fad328d5066cfc751da100a1098398742f9f364be63803fc
MD5 b2a823667f410d7f55b5def7ef9f6ed0
BLAKE2b-256 c507a05606be5ba64994e9687b832f3e8c899ffc0a42a63712b228ac61e760d3

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d912f0154a20a80ea449daada904a7eb6941c83281a9fab95de50529bfc3a1da
MD5 93ed953fae1e0fa5cd0ad6b63a0e7bc0
BLAKE2b-256 05535a17574b66a7ca4f9a210b6ec99758245295e6dfd6cec8cf6397b1ed9375

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 d2eff2af97ea0b61381828b1ad6cd249bbd41d280e53aea5cccd7b2b31b8225c
MD5 8f649e7f219a29515a110c61a44335c5
BLAKE2b-256 5658335fb4c504037d9473cb89360cc900e02ad72bb80090cb3128ec16eb9185

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp311-cp311-win32.whl.

File metadata

  • Download URL: contourpy-1.0.6-cp311-cp311-win32.whl
  • Upload date:
  • Size: 144.0 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for contourpy-1.0.6-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 0e4854cc02006ad6684ce092bdadab6f0912d131f91c2450ce6dbdea78ee3c0b
MD5 f8f7d6eae943453d0740d305a7d9db75
BLAKE2b-256 f43b0711f5fbae856ad1a0bd1cb06fd75e6455ca40c2d741b3cdbaefdf398a3a

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b98c820608e2dca6442e786817f646d11057c09a23b68d2b3737e6dcb6e4a49b
MD5 0b5a3cbc3e62aa6f8414e48c491b9cb8
BLAKE2b-256 aaefeef36ad08cedb580f382c649bb1e00f0a27d818ad65ff2cc8ca9531bf844

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 375d81366afd547b8558c4720337218345148bc2fcffa3a9870cab82b29667f2
MD5 10c89b18ad3a08aa298f816b9d134ee8
BLAKE2b-256 a2ea4ae24f51eb71ae812c77d4ab3437e2032dc2c474253ad612b204d1815dea

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 e43255a83835a129ef98f75d13d643844d8c646b258bebd11e4a0975203e018f
MD5 3b4ac2533db2b13f0181782586ebe874
BLAKE2b-256 24ce464217dbfdfc19f0fcac95fa808fe345e3668473342367dcea43eb2c0165

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c78bfbc1a7bff053baf7e508449d2765964d67735c909b583204e3240a2aca45
MD5 84d14e9d085d0cb9234bcca5a700adfa
BLAKE2b-256 75bf9bf3afc7a4e1f635b93614038cfa18d5e3ffdde470d0ab491127fe060597

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 358f6364e4873f4d73360b35da30066f40387dd3c427a3e5432c6b28dd24a8fa
MD5 2615c91322923d62af7c7571e324d57a
BLAKE2b-256 a6ab534edea5f188f643dbb1678cb2eb2309da892e2e76f1007b48d448fff0c6

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 50627bf76abb6ba291ad08db583161939c2c5fab38c38181b7833423ab9c7de3
MD5 0f37eb5958faf002e8d8a66e23285c99
BLAKE2b-256 0e8f9171764771ba51be1b28fbfbb9f827b90f112235ed3116f078bac8748701

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b64f747e92af7da3b85631a55d68c45a2d728b4036b03cdaba4bd94bcc85bd6f
MD5 d2b894fc73ccab2578ff0607a1fc4f4b
BLAKE2b-256 e7ef92d18ae3ec8fb2051ad6f7bad3c357cdac70097d37e687da75c333a6bea2

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 46deb310a276cc5c1fd27958e358cce68b1e8a515fa5a574c670a504c3a3fe30
MD5 a6123a2705560a09aa27c44ddca39d94
BLAKE2b-256 2c4f68516884f6b4c89b1f42225fbd3e5cf5c20616f8a66d1264a5c561f5c846

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 913bac9d064cff033cf3719e855d4f1db9f1c179e0ecf3ba9fdef21c21c6a16a
MD5 a8464f6843790daa8d60ed8c28bd4ad3
BLAKE2b-256 5f20d7f8a227aa690583de3065216393b7be43d153f3a02d0fc814bf2f2fd7a4

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 eadad75bf91897f922e0fb3dca1b322a58b1726a953f98c2e5f0606bd8408621
MD5 e06b30a208773d9acd4ad2795302ce10
BLAKE2b-256 5f201599119177260b7000332737398bb646647598fc6993aba5ab7a1a7dc50a

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp310-cp310-win32.whl.

File metadata

  • Download URL: contourpy-1.0.6-cp310-cp310-win32.whl
  • Upload date:
  • Size: 144.1 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for contourpy-1.0.6-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 12a7dc8439544ed05c6553bf026d5e8fa7fad48d63958a95d61698df0e00092b
MD5 58deba32f98b9a572c1078535507c02a
BLAKE2b-256 91c7e61b6131f59bc27c24b2701ba6270f61331afd84e8f0ab2efd37946b201f

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f33da6b5d19ad1bb5e7ad38bb8ba5c426d2178928bc2b2c44e8823ea0ecb6ff3
MD5 b7a01ebf19d8b09c8654deb21cb582a0
BLAKE2b-256 d92c9955783c1f40a8d2552b3646948a4f9fabb64445735dcdc9e73f30d2d877

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 08e8d09d96219ace6cb596506fb9b64ea5f270b2fb9121158b976d88871fcfd1
MD5 bed37777d367edf4ff3087d08fda3879
BLAKE2b-256 a11d9a3b68e57a48336137e404dbeac8cef03525d16ea9e2f0a67d09b950ca35

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 9fc4e7973ed0e1fe689435842a6e6b330eb7ccc696080dda9a97b1a1b78e41db
MD5 9ae962bd89edd2413d481000fe417844
BLAKE2b-256 cf41fe92c046082ebd9311720dddba6bbe417fe733daa4e117185f0a23d9baaa

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1c0e1308307a75e07d1f1b5f0f56b5af84538a5e9027109a7bcf6cb47c434e72
MD5 75dd7c2dd42fb48aa1c3a3e8eccc7b4c
BLAKE2b-256 1c110c1e2179d085dae1392de1c7ee4ad47dd5537b1bd16c31411dee03f2cbf5

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f4052a8a4926d4468416fc7d4b2a7b2a3e35f25b39f4061a7e2a3a2748c4fc48
MD5 58a894ff0ebddba524808ee9e55af119
BLAKE2b-256 048d2480368c04465982c9b247a1ea09436bf5682c81c895c1343f817dc3bafa

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d8834c14b8c3dd849005e06703469db9bf96ba2d66a3f88ecc539c9a8982e0ee
MD5 9cb8fc63d296fd47f600db78b78ab558
BLAKE2b-256 d47ff4cb34ba3805185b36a3911e1b0377638c9ca8c51cadee81bee1e15a83f9

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b3b1bd7577c530eaf9d2bc52d1a93fef50ac516a8b1062c3d1b9bcec9ebe329b
MD5 b82321d493dbb81a25e2ac09ad005555
BLAKE2b-256 fe5afddb91bffed21153b5ccda2478b0f44490e1d1cf167af893d3342b8cbf70

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 78ced51807ccb2f45d4ea73aca339756d75d021069604c2fccd05390dc3c28eb
MD5 40957b46fc8d5796fa8ba3b1e4bae7fe
BLAKE2b-256 bf208c8a490cdbf93a48ff7f0e54f1792c503ad9454d88c9ff8a044d69e83c80

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 613c665529899b5d9fade7e5d1760111a0b011231277a0d36c49f0d3d6914bd6
MD5 b58bb9cf3681ec40266289d3391caa82
BLAKE2b-256 e865de497982e1898001ba2865e9c370942aa6d9986899462817002b741b98ee

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.0.6-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 161.3 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for contourpy-1.0.6-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a457ee72d9032e86730f62c5eeddf402e732fdf5ca8b13b41772aa8ae13a4563
MD5 bfa4c140604f31c85cb2b3e0db756578
BLAKE2b-256 a64305ca3815a88650734860766e4d25a98ee7b8bf9d5f4fe280438c07ba5f4f

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp39-cp39-win32.whl.

File metadata

  • Download URL: contourpy-1.0.6-cp39-cp39-win32.whl
  • Upload date:
  • Size: 144.2 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for contourpy-1.0.6-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 e1739496c2f0108013629aa095cc32a8c6363444361960c07493818d0dea2da4
MD5 5062103b9a011b617c04c7c44b725b1a
BLAKE2b-256 7312b919e4a9e9b6f2e948420f61f3bec6b3f474bd1936c78dfebbc3f312e22a

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a628bba09ba72e472bf7b31018b6281fd4cc903f0888049a3724afba13b6e0b8
MD5 d898599a18518eaedf0d3a9f14e5d5c5
BLAKE2b-256 c103e2a58d7c5d66c399f04f9cbaf1164301a96ec25536d713e73de83c02bdf0

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 75a2e638042118118ab39d337da4c7908c1af74a8464cad59f19fbc5bbafec9b
MD5 a0d06321a0ad6c1f643c782c029d0de3
BLAKE2b-256 ba1b444744b2910e78d790bc2745bb524f4a2c19a3c0c5f00a5803191fa50d78

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 494efed2c761f0f37262815f9e3c4bb9917c5c69806abdee1d1cb6611a7174a0
MD5 1864df02c95354d8a99755709ec0baee
BLAKE2b-256 2a6a2d8d987aa96041e06309ad42093dad90d6b798e42d471cc309d440f8c419

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1dedf4c64185a216c35eb488e6f433297c660321275734401760dafaeb0ad5c2
MD5 7a88b4dacc35b2843878b866d49c7c84
BLAKE2b-256 2fb23787a2993307d8305d693594b2e0f3a0fc95b4e064ad4582324487fc848a

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 8468b40528fa1e15181cccec4198623b55dcd58306f8815a793803f51f6c474a
MD5 50c047ecf657eb5127a3c6fb2d7ecf8d
BLAKE2b-256 14afe9de42772222a99b5f04cf0de4fe1a7eab10e912cfa195d040065a609081

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0b1e66346acfb17694d46175a0cea7d9036f12ed0c31dfe86f0f405eedde2bdd
MD5 d5f49ba674073b043f0a024883a1d215
BLAKE2b-256 34e31eff8cba9502444c1ce972e483ae9e54c15b3e45cb5048fa7913e1d879fb

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 344cb3badf6fc7316ad51835f56ac387bdf86c8e1b670904f18f437d70da4183
MD5 f87a37be4309fef083663511ec681225
BLAKE2b-256 cba4f7b1ad1df4bce900c1d61a10a7fb687ae5337dcd0e401e26750f1225b0d1

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6f56515e7c6fae4529b731f6c117752247bef9cdad2b12fc5ddf8ca6a50965a5
MD5 9832d25816069c48ff1558bf5c2ffc9f
BLAKE2b-256 1e512350849a5e4feece3213cfbcba1e78a1cf3797051a65ae54eedfe5a889c4

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 aa4674cf3fa2bd9c322982644967f01eed0c91bb890f624e0e0daf7a5c3383e9
MD5 ffb28a0d080a88c2fa2d167cd40a59a9
BLAKE2b-256 595a4a8e358dd75d159af1be4caa422b61acf5ba39deb00c1d8ca8a25fe57f81

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.0.6-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 163.5 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for contourpy-1.0.6-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 9bc407a6af672da20da74823443707e38ece8b93a04009dca25856c2d9adadb1
MD5 f358a3274ad21f23da8b5326daf55be7
BLAKE2b-256 264dc96bf0e00cc63c7131df227705c716516ab57e9852c6415b4c3322cc9fa7

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp38-cp38-win32.whl.

File metadata

  • Download URL: contourpy-1.0.6-cp38-cp38-win32.whl
  • Upload date:
  • Size: 144.1 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for contourpy-1.0.6-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 444fb776f58f4906d8d354eb6f6ce59d0a60f7b6a720da6c1ccb839db7c80eb9
MD5 508ad7da0ed157fb304e36a55646c834
BLAKE2b-256 d620f58fb7f4128ed236ddc186989bca0bc198da1bb2ac0642998599867ee18c

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 208bc904889c910d95aafcf7be9e677726df9ef71e216780170dbb7e37d118fa
MD5 9c52e2d15cefecec854faca44f46ea09
BLAKE2b-256 2e41f1f7bb79e1a27b608b51ed0efebe449b145edcfdb7df14c5157fc824ec5b

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 b48d94386f1994db7c70c76b5808c12e23ed7a4ee13693c2fc5ab109d60243c0
MD5 4d8f244bfaa881328f35bbf4e547577c
BLAKE2b-256 466218dc65adabc29d79136f0e249c61b873d4465ea1670953bb1727e725fa6f

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 03d1b9c6b44a9e30d554654c72be89af94fab7510b4b9f62356c64c81cec8b7d
MD5 3e69e58003e55584907c4b9a0e581c19
BLAKE2b-256 ac83ad082b5278073cfff2444f0e5cd585ea72cc20446bc7209eb13825f58e0a

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 acd2bd02f1a7adff3a1f33e431eb96ab6d7987b039d2946a9b39fe6fb16a1036
MD5 868f7fe6ff84f3b02c7492dd102896b4
BLAKE2b-256 3cefc5bdaf0394e68cf8f266f4939e6365d9fffbf68899819cc07382525318a0

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 9e8e686a6db92a46111a1ee0ee6f7fbfae4048f0019de207149f43ac1812cf95
MD5 b78e180276a2b5f0f92a5d7aee49adf8
BLAKE2b-256 9d0359a8bc2bf42235fb2e2e45151e1987a2697196ac79bccd3888d9599b4caf

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a79d239fc22c3b8d9d3de492aa0c245533f4f4c7608e5749af866949c0f1b1b9
MD5 2198fce87a91454eaf9b33e74a186f62
BLAKE2b-256 78a656b90559643d378187930976116d95c9f7b078836b09636a09dd26dfad11

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e13b31d1b4b68db60b3b29f8e337908f328c7f05b9add4b1b5c74e0691180109
MD5 ff4b3b71de6ef2591403a2f97586cbd3
BLAKE2b-256 7ee16647630f1f5a543e13bd407fdd74aae92b8032a5967e9649c00b6eda2bf8

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 dbe6fe7a1166b1ddd7b6d887ea6fa8389d3f28b5ed3f73a8f40ece1fc5a3d340
MD5 f06397f2b958d1d23c230ec4b2bbafe4
BLAKE2b-256 86b37d8fead8b83bd4a4608d42a7eab90fb1c52a8834c47cc6c82a2c6c3a00f2

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 e626cefff8491bce356221c22af5a3ea528b0b41fbabc719c00ae233819ea0bf
MD5 68a6174485910fd9b6ed7963dc44174c
BLAKE2b-256 56824ad76d2bc8cb0aa7d2e95a88596f1c0ea3315c002dd931d98cfd81208d8a

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: contourpy-1.0.6-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 163.2 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for contourpy-1.0.6-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 06ca79e1efbbe2df795822df2fa173d1a2b38b6e0f047a0ec7903fbca1d1847e
MD5 c49eb0a3ee231a1c8d23958d32891023
BLAKE2b-256 e16c93fe3b212eefa278aff7788b043e49f05b6c73e4b5dd2ea95a5853ef2a47

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp37-cp37m-win32.whl.

File metadata

  • Download URL: contourpy-1.0.6-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 145.3 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for contourpy-1.0.6-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 3a1917d3941dd58732c449c810fa7ce46cc305ce9325a11261d740118b85e6f3
MD5 36cbabe57936b1c20a7385ba10fc267d
BLAKE2b-256 ff4f31ea5c2a2d770e54ee6c120966c29a2de405c533cadea7d1c90d89aebba8

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 cd2bc0c8f2e8de7dd89a7f1c10b8844e291bca17d359373203ef2e6100819edd
MD5 4864fef88c151773085b3d0e26c5c886
BLAKE2b-256 ee256649fd5dddfe5751f58e7c0f12a2a3b2d96fa07f0fd2a7ecb6d61f1f077c

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 da1ef35fd79be2926ba80fbb36327463e3656c02526e9b5b4c2b366588b74d9a
MD5 354d9ea6b6f8f3d763809f0b6951c243
BLAKE2b-256 f3f285182592a1470f1a201888816ac6b52b3150af25b2e0ae422a5cc23a3c79

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 730c27978a0003b47b359935478b7d63fd8386dbb2dcd36c1e8de88cbfc1e9de
MD5 d8ff8e2ba2f8b028211586df464b00ca
BLAKE2b-256 3510ea865564610d3ea124a845432b56147d7a8443e37cc1bc2069d107b17956

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9447c45df407d3ecb717d837af3b70cfef432138530712263730783b3d016512
MD5 90e3f51d8ede0d283a09fe43f31697f5
BLAKE2b-256 68c1e6edbec5de1ada62ebb90c6bf11e8bec7ca1354306641253f7b162ef4349

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 371f6570a81dfdddbb837ba432293a63b4babb942a9eb7aaa699997adfb53278
MD5 4a42f5ff2fda7979f0a2c9042499696c
BLAKE2b-256 fb8305cf039a226a6997ba50608e88fb0b5434e001eb472d4201b97e601ebd22

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 341330ed19074f956cb20877ad8d2ae50e458884bfa6a6df3ae28487cc76c768
MD5 75bf907a253291bed0f718269c5f7827
BLAKE2b-256 397000ae3efde24c6f336211c6b2069538e1d161a869c00b734c5c1b3d2e88e7

See more details on using hashes here.

File details

Details for the file contourpy-1.0.6-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for contourpy-1.0.6-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5b117d29433fc8393b18a696d794961464e37afb34a6eeb8b2c37b5f4128a83e
MD5 820e9185f4e80bdb6df3ad32e4863d26
BLAKE2b-256 143ebf4e52c7325fba62d6ae236f3fd53efb36a76462550d494dabc28b8cd7fd

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