This package performs morphological operations and can compute the Minkowski functionals and functions

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for boeleman from gravatar.com boeleman

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 or later (GPLv3+)
  • Author: Arnout Boelens
Classifiers
Report project as malware

Project description

quantimpy

Welcome to QuantImPy, a Python library for scientific image processing.

This code performs morphological operations on Numpy arrays and can compute the Minkowski functionals and functions.

This code is inspired by and partly based on the QuantIm library C/C++ library for scientific image processing.

Documentation can be found on Github.io

This library is available on pypi.org and can be installed using pip:

pip install quantimpy

If you use this package in your research, please cite it as:

Arnout M.P. Boelens, and Hamdi A. Tchelepi, QuantImPy: Minkowski functionals and functions with Python, SoftwareX, Volume 16, 2021, 100823, ISSN 2352-7110, doi: 10.1016/j.softx.2021.100823

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for boeleman from gravatar.com boeleman

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 or later (GPLv3+)
  • Author: Arnout Boelens
Classifiers

Release history Release notifications | RSS feed

This version

0.4.6

0.4.5

0.4.3

0.4.2

0.4.0

0.3.2

0.3.1

0.3.0

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.1

0.1.0

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

quantimpy-0.4.6-cp310-cp310-win_amd64.whl (435.3 kB view details)

Uploaded CPython 3.10Windows x86-64

quantimpy-0.4.6-cp310-cp310-win32.whl (359.1 kB view details)

Uploaded CPython 3.10Windows x86

quantimpy-0.4.6-cp310-cp310-musllinux_1_1_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ x86-64

quantimpy-0.4.6-cp310-cp310-musllinux_1_1_i686.whl (3.1 MB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ i686

quantimpy-0.4.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

quantimpy-0.4.6-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (3.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

quantimpy-0.4.6-cp310-cp310-macosx_10_9_x86_64.whl (627.6 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

quantimpy-0.4.6-cp39-cp39-win_amd64.whl (453.3 kB view details)

Uploaded CPython 3.9Windows x86-64

quantimpy-0.4.6-cp39-cp39-win32.whl (367.5 kB view details)

Uploaded CPython 3.9Windows x86

quantimpy-0.4.6-cp39-cp39-musllinux_1_1_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ x86-64

quantimpy-0.4.6-cp39-cp39-musllinux_1_1_i686.whl (3.2 MB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ i686

quantimpy-0.4.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

quantimpy-0.4.6-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (3.2 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

quantimpy-0.4.6-cp39-cp39-macosx_10_9_x86_64.whl (636.7 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

quantimpy-0.4.6-cp38-cp38-win_amd64.whl (459.2 kB view details)

Uploaded CPython 3.8Windows x86-64

quantimpy-0.4.6-cp38-cp38-win32.whl (373.4 kB view details)

Uploaded CPython 3.8Windows x86

quantimpy-0.4.6-cp38-cp38-musllinux_1_1_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ x86-64

quantimpy-0.4.6-cp38-cp38-musllinux_1_1_i686.whl (3.7 MB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ i686

quantimpy-0.4.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

quantimpy-0.4.6-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (3.2 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

quantimpy-0.4.6-cp38-cp38-macosx_10_9_x86_64.whl (631.4 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

quantimpy-0.4.6-cp37-cp37m-win_amd64.whl (428.0 kB view details)

Uploaded CPython 3.7mWindows x86-64

quantimpy-0.4.6-cp37-cp37m-win32.whl (352.5 kB view details)

Uploaded CPython 3.7mWindows x86

quantimpy-0.4.6-cp37-cp37m-musllinux_1_1_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.7mmusllinux: musl 1.1+ x86-64

quantimpy-0.4.6-cp37-cp37m-musllinux_1_1_i686.whl (2.8 MB view details)

Uploaded CPython 3.7mmusllinux: musl 1.1+ i686

quantimpy-0.4.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

quantimpy-0.4.6-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (2.8 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

quantimpy-0.4.6-cp37-cp37m-macosx_10_9_x86_64.whl (609.0 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

quantimpy-0.4.6-cp36-cp36m-win_amd64.whl (452.8 kB view details)

Uploaded CPython 3.6mWindows x86-64

quantimpy-0.4.6-cp36-cp36m-win32.whl (368.5 kB view details)

Uploaded CPython 3.6mWindows x86

quantimpy-0.4.6-cp36-cp36m-musllinux_1_1_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.6mmusllinux: musl 1.1+ x86-64

quantimpy-0.4.6-cp36-cp36m-musllinux_1_1_i686.whl (2.8 MB view details)

Uploaded CPython 3.6mmusllinux: musl 1.1+ i686

quantimpy-0.4.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ x86-64

quantimpy-0.4.6-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (2.8 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

quantimpy-0.4.6-cp36-cp36m-macosx_10_9_x86_64.whl (607.4 kB view details)

Uploaded CPython 3.6mmacOS 10.9+ x86-64

File details

Details for the file quantimpy-0.4.6-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: quantimpy-0.4.6-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 435.3 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.5

File hashes

Hashes for quantimpy-0.4.6-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f94643144220e8d32dd39e2963c887695230c50f1a6608db73a21b6e9624de7c
MD5 b2621ac7ea69763f3f781b6cdeeec32d
BLAKE2b-256 e0292e55969e8d610ca40b215f1a0c31157fc569917723836590909c150c4250

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp310-cp310-win32.whl.

File metadata

  • Download URL: quantimpy-0.4.6-cp310-cp310-win32.whl
  • Upload date:
  • Size: 359.1 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.5

File hashes

Hashes for quantimpy-0.4.6-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 0c445d0352e7c4d0988e6ba97b8b75a57df7ea6dfd77ddca0c0be31a6177be58
MD5 41e88ff5ba707117545bd0e9236cea4d
BLAKE2b-256 2f26904dc5bb18f73b21b950d397301fec96fd1c92d0dc89991db0fb9b954d54

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 5d93ab2dea4a8bc3a45aefa1cdd16a3e1be66c3cdacaea838b43940a9155dd84
MD5 468a95ae919ee93212ca7781643ab986
BLAKE2b-256 c2bbe111d24f75fb3dc9d3bc8ab831aed36fa7fd1f1fad8659174def09df0d0a

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 37b0cb41631b56f595d133c0ff13d1ca307926d9f18ff9947d4fac15a4055e84
MD5 8e752be939e137a7192b3661a8598549
BLAKE2b-256 dda0c29a529e321ccafab2c9dfdb6af52f5d95486f52c17baf8ee52d3234f431

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7934f6a246e157eff285ef57c7a1305d3b9b2715e6226e8ad4b88b9b9d9c3ce5
MD5 13e4e02ad12f92096429a79ed7202b1f
BLAKE2b-256 4d54cf4f31c727fa2453be247bef432963776dc33e1f5d3492561b3ca83fe2bd

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 344d47b051aff3b4620af1d254680036732f4e6f5ebec19c90f0be5e1af266d2
MD5 40092b346e1200c156698c4f660368e8
BLAKE2b-256 85403bd0e9421b18bf905cdeca6cd3f64e761bd0b527f2f58a2bfd7ae67cac40

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 aa6cfaa4a2863d7dd0eac345794ccb13168e4889fe64f450c482ee0ba067d573
MD5 1bde22c8ad477e72b92b1fe3d97151c9
BLAKE2b-256 456d480ebf4f8024da1186bfa151301c944fb22c5925d287e5ee77b389016d8d

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: quantimpy-0.4.6-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 453.3 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.5

File hashes

Hashes for quantimpy-0.4.6-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 9f30d5d066651e5aec223aad03326597f3a6974f2c6b2b3c6f2c91ee1e575e45
MD5 126f77ea2d8e0d23e1b7025eb0fa09e8
BLAKE2b-256 88ef5a16674756a19e88e60543e93a6e3b13b787a5adf42a610801167092df03

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp39-cp39-win32.whl.

File metadata

  • Download URL: quantimpy-0.4.6-cp39-cp39-win32.whl
  • Upload date:
  • Size: 367.5 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.5

File hashes

Hashes for quantimpy-0.4.6-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 c3e754f953cab0ea65bd1395e9e47081f57d93e5388a0afad99b8aaaed2b2988
MD5 e55ade16f5169f02e2e08fd5e37ad2ab
BLAKE2b-256 85d0d18239943a76491b19fefab31c2ae2f5c15e56407543cd5926b719045933

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 bf9206c9e11d2795e32346e4b2a80f5cf03579106dd6e448a3b523081004eedd
MD5 d9b8f83e8b987ab1877de8288c0fb726
BLAKE2b-256 051995645c1bf6f4688202ca5d28ff92e3e746a8a137859a218ecd2f3fa014e0

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 c8a4e14c060ffe7474b32232e9d02cf1cc7bd9f690bd5195092eef064172ab8e
MD5 dc99c9eb601fffc8eaf6ddb3cccc2478
BLAKE2b-256 089ed407af59a68c7af53007ec38738f56ca65b2082729aad49c4122a1306aa4

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 321e8406f8c5c277fa38ca4e0fbbef492c0584ecdb12682e42af5efbb292fab3
MD5 8357a85fa5187d23e51e7d59b9f05a4b
BLAKE2b-256 c3f3cfcbfea570f27c12dc3a2e5e60cd4ea58277a2980e2036f47d211e1615d2

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 00d4345f83f4d9d8549813bfe812706e16dbde8f0a332bb3f9e4304e3564b9e8
MD5 7b53bf140076c4354963064075bee5d4
BLAKE2b-256 dc13f591594e39abf50ee78e54552214b29ed51ea6f0f448e2aaf6cb0878c165

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 46239a3588882ac4441817dd1fd6dbfc92b1223f14cc6c003f36dee15959016c
MD5 485c9321ac33642dc53359c33ec83a06
BLAKE2b-256 1ca25bd808d84654057fbd17f7ca1f2e66d13472b35ae08e93ab5a229438cb87

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: quantimpy-0.4.6-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 459.2 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.5

File hashes

Hashes for quantimpy-0.4.6-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8e644372c421394ff3fc376a3038008a0ae948facdae15bb7ee97ede7cbe076c
MD5 88002970afa44c97d32deb748b0ff3a7
BLAKE2b-256 d754e297578537057c87c6e15044619099372ae040bc35fa83b5579dc4080552

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp38-cp38-win32.whl.

File metadata

  • Download URL: quantimpy-0.4.6-cp38-cp38-win32.whl
  • Upload date:
  • Size: 373.4 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.5

File hashes

Hashes for quantimpy-0.4.6-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 f3283f77ddb5e1a74263ac9e450b7ef3f6bf88c9e0331e73ad8bdbd7b434d599
MD5 a5d9ef3d22d948a057bf31d92cf51485
BLAKE2b-256 1cfba8b7a50eb71b7642235874a7ac233bb076f47bb2c132916e75374b272a16

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 24fe952b78914fb5d3748d289a1b52657e344b89b032cd3dea9e63c9f7146b4e
MD5 a3710a0f2324af141759f6e86fdc3c8f
BLAKE2b-256 6708675aa34ae3cdf7ab8992254e76771645801d6ecdd9483b1df758e801f484

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 08e4d4eaf0f342eaa0788bc6e5d087406d18edc67d25b27024dc43a82bd301fc
MD5 e421195a0bd6a6422dee294219c8a12a
BLAKE2b-256 9a934693a8d1fd8297e05afc5d25f8a52f337b454bef52fb68d55421aa2836c9

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 31c8bd8bccd6320ba8767fa1a4329f981c543ebadbcf9c3691e12dea5d3eb722
MD5 8228fb266b68bb13fea06524d5a8ca5d
BLAKE2b-256 bc9539352a2bec308a05ea5f2aa3ae5857243aaa00107c8a44e30fe915a8436e

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 5518c3c3bf1f5bcb87add2d93f33ac62117ad2c3d76826b947832ae4d41fd600
MD5 064dc7626415fb72f94c262cc35bf24c
BLAKE2b-256 a95023b91d59491b0e2b88fd0f3a145dd65323a970945940a7f8b0e543b39e87

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ef860bd42d46abb95e6328e38326ee91ad173f92b30cf77e65af585b0a2dcf8f
MD5 52d56c6c94d8f3746db58af611c8f896
BLAKE2b-256 b949f91be6d955ed8b5fdda149e3ddbce7192cbb1b8c34c591898c9f5e61dc67

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: quantimpy-0.4.6-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 428.0 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.5

File hashes

Hashes for quantimpy-0.4.6-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ca42ce6139e7bcdf0dcb98d2954c35d58590310a7ab0f8e40334c066ba39b3ff
MD5 c2aae19b1649484043f54deefcf94e66
BLAKE2b-256 3a706181fef0dda2183d2925f4b04358e2cd6b6fedab4793ca2eb423e55efd93

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp37-cp37m-win32.whl.

File metadata

  • Download URL: quantimpy-0.4.6-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 352.5 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.5

File hashes

Hashes for quantimpy-0.4.6-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 e6c542ab9aaae593f313cf94f3a240909526ee7381e5239f2474cc994b817605
MD5 dc310bfb636b9ead8a176d29d74ec881
BLAKE2b-256 5b3fe81dbb1d0da10d48795f28c7cd417c4f51ddbaa18a52ed37421651a1843f

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 86fd6a06afa9029d6823c2f80b5d2e7fc2784503af6af414039ca15841cfd1c2
MD5 52c3cc775fcae78976dbf72598a1e25f
BLAKE2b-256 c67b64bedb6cc975b56150d49ae2b1b178498e8b93fce3d434a8e9620fe46fe6

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 d9b412fa390c5e1ec524b71cf83d39b515c0d7d91af1f79306b74750f1b39d08
MD5 73cf91f3ed580ddc278713f685f0c271
BLAKE2b-256 b969c1fdda8fd4d6cc30819109ed43f46cbb42b9e14ff6131632ef2fbdd13b15

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 54d05d514acdc231603c4cb2252f828a3639c822172142368d025f7be2a1fe66
MD5 65d66b68665f24c818087033bc32c1f9
BLAKE2b-256 1b28d6c6f5b9dcefee4af385caecda70ecba1377c58cae5149e9b032e79dd62d

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 c660584482c623f9c3530682ea62e7defd1bc83db268643c4bc38da0c3dc9bee
MD5 77031677507e2d86949b1bf0bef282c3
BLAKE2b-256 f20afc2a58878af005fc92a46401f34d04adff836328ff9eecce45bb39e8fef4

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 92efb35a8fdd76a89287e80ea157c07770b6503eef5b075adcd9e91016e92af8
MD5 e27931972514d232a505f20b0017664a
BLAKE2b-256 dcaf0065a06aa15d94e5d384705961bcb0d57cc002ccd94c2525f2f4d346663b

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: quantimpy-0.4.6-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 452.8 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.5

File hashes

Hashes for quantimpy-0.4.6-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 d3319d44685d6a8a2d73cbda9bdc880cd9f1c42c73607ea6924e554a078d5f49
MD5 fa6ffe4f1dd2e99492b79251d83ecfa8
BLAKE2b-256 19741de476edccb0f4001a22df8ce7c20ac980a364f00ac7e62655279db2c96a

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp36-cp36m-win32.whl.

File metadata

  • Download URL: quantimpy-0.4.6-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 368.5 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.5

File hashes

Hashes for quantimpy-0.4.6-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 7ed75d4ab65b3eb9d16a5a6be21ce935b720f44e52425fb4a94b197b03c4aaf1
MD5 800b29f5c1236591105028249c48d91c
BLAKE2b-256 3850abb17546b22f65ecb1fda09f2a7b21621dea8073d667a6bc79c4193e0fe2

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c35a0e2d643ab2ba35aeb7a7e93f52f1b7f20315bd16be98e7d99b6f5a596d75
MD5 b1ca0a9f074223c3a5b719dea43649ce
BLAKE2b-256 951e2c22ed221591182459b477b251f55cdc7279d59dc21ededbaec25a1ac0e4

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 a8b0b596073daa03837f1a3da245214a8f35c3cdbc30b72b16392705a6436985
MD5 72d4cc97278c311b0d250def39a33139
BLAKE2b-256 1fd16e9965433ae1ca383c2af163f1e2baa1b43d3a30acb2823609c57618bbfb

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 95d9ae6d29e858e14c8dc38fa3154e078a99bb2837188a7dc8d49db0cef958c6
MD5 5150eef5afa3273b20bee6d8ae1677b8
BLAKE2b-256 431138470aa3922a45a256d2aa376d05ce0e07e52537fbef5c7da41a09ed8aa7

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 17d371804afc7df3527d3659333b3f5639b58a66f161f5d5a2400cb23ce54c6c
MD5 4a751aec1043e031bbb2a8575335013f
BLAKE2b-256 644cd3646e9a5bf2362f92d1b5fca5f17c31b43ae032f3cac0abc181faf9dcfd

See more details on using hashes here.

File details

Details for the file quantimpy-0.4.6-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for quantimpy-0.4.6-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b197cbf10f9a8a87c408eb54a766e7035eb5fa996516dff3e20d3a2ca5f54135
MD5 b34f8c5f519e6ab91d0ea8295b4264a6
BLAKE2b-256 18812ac8b1453a8af82bb12fedf1bf39bef7589bf4152e04958e17a0a2b45fa0

See more details on using hashes here.

Supported by

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