Python bindings for VHACD

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
Report project as malware

Project description

vhacdx

Python bindings for V-HACD

A very simple and raw python binding for V-HACD that is forked from thomwolf/pyVHACD which generates an approximate convex decomposition of a triangle mesh.

Contains a single method: output = compute_vhacd(points, faces) which take as inputs:

  • points: a (N, 3) Numpy array of double containing the coordinates of the N vertex of the mesh
  • face: a (M,) Numpy array of uint32 containing the face vertxe indices were M is 3 times the number of faces

Gives as output a list (number of convex hulls) of pairs of points-faces for each convex hull.

To install

pip install vhacdx

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta

Release history Release notifications | RSS feed

0.0.10

0.0.9

0.0.8.post2

0.0.8.post1

0.0.8.post0

0.0.8

0.0.7

This version

0.0.6

0.0.5

0.0.4

0.0.3

Download files

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

Source Distribution

vhacdx-0.0.6.tar.gz (6.2 kB view details)

Uploaded Source

Built Distributions

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

vhacdx-0.0.6-pp310-pypy310_pp73-win_amd64.whl (127.2 kB view details)

Uploaded PyPyWindows x86-64

vhacdx-0.0.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (195.9 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

vhacdx-0.0.6-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (210.5 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

vhacdx-0.0.6-pp310-pypy310_pp73-macosx_11_0_arm64.whl (142.2 kB view details)

Uploaded PyPymacOS 11.0+ ARM64

vhacdx-0.0.6-pp310-pypy310_pp73-macosx_10_9_x86_64.whl (152.1 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

vhacdx-0.0.6-pp39-pypy39_pp73-win_amd64.whl (127.4 kB view details)

Uploaded PyPyWindows x86-64

vhacdx-0.0.6-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (195.9 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

vhacdx-0.0.6-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (210.3 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

vhacdx-0.0.6-pp39-pypy39_pp73-macosx_11_0_arm64.whl (142.2 kB view details)

Uploaded PyPymacOS 11.0+ ARM64

vhacdx-0.0.6-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (152.0 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

vhacdx-0.0.6-pp38-pypy38_pp73-win_amd64.whl (127.4 kB view details)

Uploaded PyPyWindows x86-64

vhacdx-0.0.6-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (195.3 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

vhacdx-0.0.6-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (210.5 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

vhacdx-0.0.6-pp38-pypy38_pp73-macosx_11_0_arm64.whl (142.2 kB view details)

Uploaded PyPymacOS 11.0+ ARM64

vhacdx-0.0.6-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (152.1 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

vhacdx-0.0.6-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (196.2 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

vhacdx-0.0.6-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (211.3 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ i686

vhacdx-0.0.6-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (151.6 kB view details)

Uploaded PyPymacOS 10.9+ x86-64

vhacdx-0.0.6-cp312-cp312-win_amd64.whl (127.5 kB view details)

Uploaded CPython 3.12Windows x86-64

vhacdx-0.0.6-cp312-cp312-win32.whl (112.3 kB view details)

Uploaded CPython 3.12Windows x86

vhacdx-0.0.6-cp312-cp312-musllinux_1_1_x86_64.whl (718.3 kB view details)

Uploaded CPython 3.12musllinux: musl 1.1+ x86-64

vhacdx-0.0.6-cp312-cp312-musllinux_1_1_i686.whl (783.8 kB view details)

Uploaded CPython 3.12musllinux: musl 1.1+ i686

vhacdx-0.0.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (208.3 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

vhacdx-0.0.6-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (225.4 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ i686

vhacdx-0.0.6-cp312-cp312-macosx_11_0_arm64.whl (145.2 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

vhacdx-0.0.6-cp312-cp312-macosx_10_9_x86_64.whl (154.8 kB view details)

Uploaded CPython 3.12macOS 10.9+ x86-64

vhacdx-0.0.6-cp311-cp311-win_amd64.whl (128.2 kB view details)

Uploaded CPython 3.11Windows x86-64

vhacdx-0.0.6-cp311-cp311-win32.whl (112.8 kB view details)

Uploaded CPython 3.11Windows x86

vhacdx-0.0.6-cp311-cp311-musllinux_1_1_x86_64.whl (718.9 kB view details)

Uploaded CPython 3.11musllinux: musl 1.1+ x86-64

vhacdx-0.0.6-cp311-cp311-musllinux_1_1_i686.whl (784.6 kB view details)

Uploaded CPython 3.11musllinux: musl 1.1+ i686

vhacdx-0.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (208.2 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

vhacdx-0.0.6-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (225.1 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686

vhacdx-0.0.6-cp311-cp311-macosx_11_0_arm64.whl (146.8 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

vhacdx-0.0.6-cp311-cp311-macosx_10_9_x86_64.whl (157.3 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

vhacdx-0.0.6-cp310-cp310-win_amd64.whl (127.1 kB view details)

Uploaded CPython 3.10Windows x86-64

vhacdx-0.0.6-cp310-cp310-win32.whl (111.7 kB view details)

Uploaded CPython 3.10Windows x86

vhacdx-0.0.6-cp310-cp310-musllinux_1_1_x86_64.whl (717.8 kB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ x86-64

vhacdx-0.0.6-cp310-cp310-musllinux_1_1_i686.whl (783.5 kB view details)

Uploaded CPython 3.10musllinux: musl 1.1+ i686

vhacdx-0.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (206.8 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

vhacdx-0.0.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (223.9 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686

vhacdx-0.0.6-cp310-cp310-macosx_11_0_arm64.whl (145.4 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

vhacdx-0.0.6-cp310-cp310-macosx_10_9_x86_64.whl (155.8 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

vhacdx-0.0.6-cp39-cp39-win_amd64.whl (126.7 kB view details)

Uploaded CPython 3.9Windows x86-64

vhacdx-0.0.6-cp39-cp39-win32.whl (111.9 kB view details)

Uploaded CPython 3.9Windows x86

vhacdx-0.0.6-cp39-cp39-musllinux_1_1_x86_64.whl (717.9 kB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ x86-64

vhacdx-0.0.6-cp39-cp39-musllinux_1_1_i686.whl (783.5 kB view details)

Uploaded CPython 3.9musllinux: musl 1.1+ i686

vhacdx-0.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (206.7 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

vhacdx-0.0.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (224.9 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686

vhacdx-0.0.6-cp39-cp39-macosx_11_0_arm64.whl (145.5 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

vhacdx-0.0.6-cp39-cp39-macosx_10_9_x86_64.whl (155.9 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

vhacdx-0.0.6-cp38-cp38-win_amd64.whl (127.2 kB view details)

Uploaded CPython 3.8Windows x86-64

vhacdx-0.0.6-cp38-cp38-win32.whl (111.7 kB view details)

Uploaded CPython 3.8Windows x86

vhacdx-0.0.6-cp38-cp38-musllinux_1_1_x86_64.whl (717.7 kB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ x86-64

vhacdx-0.0.6-cp38-cp38-musllinux_1_1_i686.whl (783.3 kB view details)

Uploaded CPython 3.8musllinux: musl 1.1+ i686

vhacdx-0.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (206.4 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

vhacdx-0.0.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (223.8 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ i686

vhacdx-0.0.6-cp38-cp38-macosx_11_0_arm64.whl (145.3 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

vhacdx-0.0.6-cp38-cp38-macosx_10_9_x86_64.whl (155.7 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

vhacdx-0.0.6-cp37-cp37m-win_amd64.whl (127.7 kB view details)

Uploaded CPython 3.7mWindows x86-64

vhacdx-0.0.6-cp37-cp37m-win32.whl (112.8 kB view details)

Uploaded CPython 3.7mWindows x86

vhacdx-0.0.6-cp37-cp37m-musllinux_1_1_x86_64.whl (719.1 kB view details)

Uploaded CPython 3.7mmusllinux: musl 1.1+ x86-64

vhacdx-0.0.6-cp37-cp37m-musllinux_1_1_i686.whl (785.2 kB view details)

Uploaded CPython 3.7mmusllinux: musl 1.1+ i686

vhacdx-0.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (208.0 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

vhacdx-0.0.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (226.1 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ i686

vhacdx-0.0.6-cp37-cp37m-macosx_10_9_x86_64.whl (155.5 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

File details

Details for the file vhacdx-0.0.6.tar.gz.

File metadata

  • Download URL: vhacdx-0.0.6.tar.gz
  • Upload date:
  • Size: 6.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6.tar.gz
Algorithm Hash digest
SHA256 d2378bf8ad06bd202910615f3ca5bee86f507704a6b36d7a967b2dd5ac939553
MD5 e413ecb4bd606386705ceff1229eedb2
BLAKE2b-256 64782f52b6bd3f9deef059cf5aedb3ccae15200f8aaba7397b8d0ceaa1f9e743

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 b36f55ca0ed58ce9adc204adc4bad31232aa009a8560d900f13ea32fbaedb741
MD5 28ad694851ce2f5162d9a957bcabc5bb
BLAKE2b-256 18a0ee07cbeb4042b60bd3d8b15812c33236e401a92c6fba2db778ca606da0cf

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dfe525efbc11b04615f6c680dd1010041064690570030cedf0a26d25cd61df15
MD5 8f5d0e14bcaa82dfcddd8b0e97f7c7bd
BLAKE2b-256 67e086d3aec3a5f4d09a9ec873031a19b6c45deacd9bc741da3690ca4d07b31c

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 bd1cd6489f0bb99dcc28feb38bc7ab2713b3332acb99c99ec5fa2be3424188a9
MD5 310394e0bbf5d0a8d0b1269f288605be
BLAKE2b-256 0dbf079e2ea7c9fcc91cd9ff0f2b208c7f7d56e21edfaad0da9458b5d2c6b19e

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp310-pypy310_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp310-pypy310_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 08b29c03561ef6ead6f0cccd14f6c097f687638e63012853042215e6a57abcb2
MD5 0c4bbf88d6215f27f43156481dae6052
BLAKE2b-256 ab80888e49a4295f5a66e28b1265e5bdb5824862d02407d9d0314e1b76f34657

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp310-pypy310_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp310-pypy310_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 71d2d16699aa6cc61c35fb5a746f9c2328acff92205b3e38eb814cdb3cce1c09
MD5 9ca0296370b02fca9822437f572b5d3d
BLAKE2b-256 8f9ccf4c55d7d1b51a10dcd806b1082253f9f594615b8e94ee2c35e3340baf25

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 bb5f0e27f773b83e88dcfde1c67be671c04c45bedea4bcc2ae1e3df68f738558
MD5 26a285ec83081a738132ccc787b892b3
BLAKE2b-256 df40bc71964a04e2e1d57f5aa285c9403c40f19ff43b8d31a9feb71d0e9e0db1

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 78bc47c36fd014a6948898b73a6cbb4a3ca6917dfc7f8582e8e4b1c5d87e3e69
MD5 d9e17b1f440e989a864f36d1fb112327
BLAKE2b-256 ff83836fa75e325dc42b522404b015d8e4faa52b8a35653cc4907d9d2d1d874c

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d7942c657c0e70091acaf6d1c3a2219bf8c6bf68053f17d87bb5595c30ac52ca
MD5 f306aaf301ec751f7b5b75d3eb6d6cfd
BLAKE2b-256 bdb659250e76065eb904881b3d55b940a48aaaf56f2fb99ac099b38a28f15f14

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9297b466edbcf354bb3ced402fa381dc3b031b4c23926ad6e69f6d1e01accf4d
MD5 d9878e0ca4224a46fa51fbd4fa9e955c
BLAKE2b-256 4836888f21d3db4ea1068ada641bebfe576d804f220d038ae6d28a9483ef1854

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fb3bdb5387e32c1439569b4cc3d79d743664abe434ece4dc1cc6257753044aa9
MD5 a8c1e8fb2e9e3df445c6b7f965d17a16
BLAKE2b-256 a5f546bc48d6fd5b595c5cfb52b7dc5e5ea65de7a5003b861bd967cff4a33d0d

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 889c7b199c6e5d8fc34f8b8fb96c6687c94ce552ff09776d12bce05c04c55f6b
MD5 ee1548b6213e199b76aba396bbe7ff1b
BLAKE2b-256 38395357b47a05110dae1b424aa6ca8451a537c7373c4ce0af319f1a17030678

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a630fe12e01129b17ea533c9dd8135e24d8ba1cbb2fe3d699c9cd7dfb3af573e
MD5 bf305c5fa987d5660c0738042c5b119c
BLAKE2b-256 aa82e505b6162eb79f35304323fd6df5ad1493344b991885f9db404779da7324

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 961249b18ad826c7a34ff030ea987642789617ed6b04eca5e9694064070cede5
MD5 60c6289edecde9daa96dea5278ae7eb1
BLAKE2b-256 e5c5c8e9d6648335470d6c9bd0bbb2fe7a9ec3b17bc4dc73b1f754b55f748077

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp38-pypy38_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp38-pypy38_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6327684d2184ae23337cc29efad6cb1a926f9d497a01a0b5dbf48a1f8664adcd
MD5 ddc2e13e2bd02aed5899f3a8a2e1c537
BLAKE2b-256 daa23075430dfe0869803f4542d9ec71d16fdcfe89300750afc438e1c616acb4

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1ea6deb48da1345b9da0bf3e20763f68a28928e54cd31b376549abbd800f1c6f
MD5 89a78bdee3b63d557c18db504a47088d
BLAKE2b-256 54d502f3d927be6b566c2e0bff4108932320dc642f0ce76e54daedcfa62bbdb9

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 86ddb74fe42e1c293554cb9f5ac02d87b47d34c61b5be5a3e81809f9f2d7549c
MD5 b8678e93d7546eb419ef663653c4d377
BLAKE2b-256 f78631fd63563b7a1aea3da3a2023d546f0a3b028ae6e31f630315ad394a350c

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 828dcd6a5a2daf2ff65041f6d248d177c2bf381bf564789a58b0e678cb367c32
MD5 612755ca9fb0e12d331f1ca1d2d2dd83
BLAKE2b-256 7d7aff4dcfc84da0c4eb29928b5ece7208849bf1a1554394a137ad2bd3c3bfe7

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 48cbd67e3d677c7eece4351d66430d951ea61e2d8bcb974e51c6e5116585f491
MD5 5bc2c864b9629eb2ff875fd9abdc2bc3
BLAKE2b-256 6a97be80d1ece5ba707596dd14a2a9bac7b342cfdab7f220441e6607b55621a9

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 127.5 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 8aa07dfbc3f94f4a345beb684388eaf229867fccb09f9d8ca8ed7db2fa8a5bff
MD5 34bc37db7ffed3278baf29d745c74130
BLAKE2b-256 19b808a40d104b08b1a8a8222678f8219e264060e57dc3c415b2b1ff27f450f6

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp312-cp312-win32.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp312-cp312-win32.whl
  • Upload date:
  • Size: 112.3 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 f9d42a3a789e81a100d298f45c350a172bf22aacfae73bd0205fb7f6369d2f7a
MD5 5b7a30dcf5be4bb2cec0341795e9e5a5
BLAKE2b-256 7aa177b8f3b4520434687e68726592f6f1036814bd3b9b2073a10c22178b86bc

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 6371aa777ad6009871bc6586de563c909a34b3cc13f781817d72c502ecb41886
MD5 421899b8e38f2fa6b84b1ac88c35b813
BLAKE2b-256 f70bda74ecd47d5ba0ecebaddd74193d215b59455a55596e16b42a1dac68f7dd

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp312-cp312-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp312-cp312-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0229a4f7e6acc2739bf080f7fdc2f8f345f9b75a177c4653063424acf70e8484
MD5 0b75a12fbed3569692c01a507d960590
BLAKE2b-256 26ff305db8503bbe7c2ec46d802c5ec394ac970a09999897472aba809cc190a3

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 046ecf795625e0dcfba1f55842c38676e37856ada6d1f2047e3b01b129389d9d
MD5 958d23a4d978bd7aeeb6fe623f12bcac
BLAKE2b-256 d32f8d17064c1284ca09dfd1952ff97f87bab72bc6a9454c7eaba8a1581787c4

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 61c7feb5f89475a9202e03ee677b3c1a693c79e3cf0ffcea6b2e94c61cf4cff1
MD5 8d99bf60284dec4e09192a3b6e21bbf8
BLAKE2b-256 2dd881ec9f61db6d2029db6133dfc07d52dfd1fda73190df8f636ebd1bf70415

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e8a985e3929631e9ef0380324ed5ab5c53e29be1cfac25fd1de518180cc42d8d
MD5 468db49c986d6969bcd4810fb6bbd994
BLAKE2b-256 0a7876a471dde7c0d46870042e69df7be71458a9442db5fe57222d3b1d5b920e

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 092f5dfc30901fa7d7ee787c648126a84b9ae8ea657ac05d3488246f322adcf8
MD5 cd0d2e1e7aaebe1e1fd1d869174aeeee
BLAKE2b-256 cba6de2ff91949bbc10fa1f959d01147abdbe7d1e54eaee489a271f0ce05e2cb

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 128.2 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 997581f9445c22d329b9a1e22f6be8dd358850ff76501d2a437404eb771848f4
MD5 028af118804967329d419d47de10fb89
BLAKE2b-256 c328ff308129f4dcf97dd4fbbd54f63511ab0a9e17d1055c08b745e1cbe98e4d

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp311-cp311-win32.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp311-cp311-win32.whl
  • Upload date:
  • Size: 112.8 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 610880fd547ff2d94fefc8595c39f8bdf2ee4110326f5f3ffa540b952e8fd26c
MD5 8a88abf4ebe5a780368e0859d4a911be
BLAKE2b-256 cfdaf053ff843c06317782c0b5cab11555695f1c3a7e3520fc250b819ff9f3f9

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 e3adfaf68b833a70c045d7eeb3b00ab1b4462c638bf994f2d34f8c3c53e1f939
MD5 85ea32d5c237ee5038d67ea5f34ba749
BLAKE2b-256 cc9e835776f942d8326ac25e8d98c966dec8b4d77881067093e0aa23d8d957dd

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 75aa5c5dfa85e584424da43ab99fd27811df96a14b44f647888994c7517d8ef9
MD5 09f9c30473f86ff5edabdb76e3f4767e
BLAKE2b-256 c5289039cc3a0a9a5967a227e1d61d4cf159820419600ea4d3cd001d90028268

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4ba848da5309bd406788483269312169775bd6ce5da78f6584c829f850ae7a87
MD5 a019de116b37f7b4b49f4d6a84385dfd
BLAKE2b-256 9d28869192842cc37a2771392629d8b653dea21e82c917b770901ed3b40475f9

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 63d5530c405c6ecd79f5ffe03c0d341361613653db2f631b5e39d3a363d0aa7c
MD5 cf9af2847313f2fafa40a97b195ba2b1
BLAKE2b-256 f9e7ccb293a09079b71627424f9ca418e187bd2e32a5196c7701d8bdb8664fd0

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ca4e5731525c24f1ae1ad003a4f423a5aaac750689481b0116cfaa9903378007
MD5 d86530717dff6bef23ea86eae8ac5d6b
BLAKE2b-256 d6cd13277ff93f7e5acb5fdfea9686499f143189e1e3d0b29f4cb2c837f2ed58

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 75e7f40a5d05f825e658cfd45930ae343478cc8ca6abc0d8aa7db924c843f7ad
MD5 4ca48f0b1325eb3f72d0c21413df920c
BLAKE2b-256 47dd45553909432521be9cb877accc5f50eb375c50a02ffbe12756a47e12c09b

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 127.1 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 04f105d29540d56e76bc9c5c4dcfe7439f5b083b2797d9307586bd5d17594a2c
MD5 d2e3dfbe2c72236d9904626681b9ef12
BLAKE2b-256 75787a707f4bb4399f9a124ebd6b1d5d308e899b836318a38bf381cefd88c2ae

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp310-cp310-win32.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp310-cp310-win32.whl
  • Upload date:
  • Size: 111.7 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 0cd3a4eeff86f72e9270ff0953c1abd96523728855b2caf44bad544a25b767ca
MD5 3e4de2a637a1eb3709aa062993ecb321
BLAKE2b-256 23387fa36755d58dbb805ea5aee6e4819959978f79a115628c54edc417f2c23f

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 49550cc76524f95e9d69f0c9acb61d86a0e9786ebf82ecd2c327bb0c3dff6c2f
MD5 a7cfbe00d866fdd04d511396f563210f
BLAKE2b-256 54491e920a641665b358ffec56935017dd0ed68c63b7928a8d76a227beeacfac

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0064afbe68ddbf904a8d1163d3d94ab429ead3a344a2f420347c774d1b55e5d0
MD5 f18d30359d2a30837cf699a7e5430206
BLAKE2b-256 1c47f836b8a4e7256c04ad08e312c0442b499777a4953fa152d1702dd59f4732

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e2c992c36a0149fba8c3581ec7cb6711e9803c48357cea75b08c97c688dece21
MD5 1c003a254a027ff985bd3a21e998a5e7
BLAKE2b-256 7eafd3af73e45f8f2d1f3134df23f3832f2b248efadbc4a75d2de2fced454a20

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 fb886a84f94d98dcff1ef79f53b1dfed83df74115c8af7b5f614e60314bab0e3
MD5 76e0cc7242b3a316bc4d433c75d450dd
BLAKE2b-256 f388fec662aa320019663f295a495f4f760681c6f3c6dece87661468ffbb80d2

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e99083a20d972366a8c85b5dadbb2a79a7ff2297240ce123487bec9ed881ad7f
MD5 1b35b77f29109d65301daf7ccc7f7cbb
BLAKE2b-256 3b0d48548eec5e84813880904948af1f7e151a45d60a9f5c703204151bd3685f

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0002a3a07ad5a59751b84a397ab179057812af6fe46900535091e0cb46d0dbab
MD5 93e766eb9fe3b0eaf0ed41975bc3a65c
BLAKE2b-256 9757680c6103ee30267b846fdd4658c1f40980fdbf5545b78ef69d19c7069f07

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 126.7 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 144a36517224f9ee6bb45f80408aa820c65326b4393cdb7e8c63e58e20de6c08
MD5 8b6b28b6d2968aadea4979c638f1aa4e
BLAKE2b-256 079a60cd82e5ec99a48288e19462b9e23a24d4bb68617a838a93d5d13523035e

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp39-cp39-win32.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp39-cp39-win32.whl
  • Upload date:
  • Size: 111.9 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 d261dd5e3957e7f1b6cd6a8483991bb6145ad20714ed70366fcabc4b34722d97
MD5 508dbb932f85842b077bb110732e1c4c
BLAKE2b-256 225ae0ba04ccca444b4667e86faa52a5e97e7d23c79dbcbc797d2f40afebe491

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 8ed7763f8360c09945712f71ac1fd75bfa60d74e816e4ddd575a24b71c1c3df7
MD5 9dc3a600d6234277aaf85ef427d7a6e7
BLAKE2b-256 fbb24781e4160838c40fbbfbe325f8356afb06f2b7aa5561aabf2fd6a87ef094

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp39-cp39-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 783.5 kB
  • Tags: CPython 3.9, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 60fd8c71bf51acbca8b8bedfa7b87ae84f22e76403f3033840e28a5a50203f74
MD5 36650c402cd4189b3e75a6347026bffa
BLAKE2b-256 5f7ee5faa0f5b77a0633196bfe66459a1b7d516de2cfac27f5507beda03a65cc

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 07bb244822ad1912e5635ed4a540f8e73d470847de75de907136c8e42ee4d39b
MD5 954d814ee010d5f5c52357a446d9aec3
BLAKE2b-256 ff61eb1618451851cad054a05a6710e8cc652ceefffec3d026e6384a48b53ce0

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 6d5f97131a0749ec95229804f2a64b26c7d322403d87d70ef8aff5d125e64106
MD5 3031842610670f82f4ad1a7d3be75019
BLAKE2b-256 9997aca02ab5e62e8b9920bc2c2778da0f61f50d6d7ce13f851c709118add81d

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f16eca152f8df9fb302d12a7fa55ae0e36f0050f800a25b4033861f4c5186e6e
MD5 2b9854be94022dc259dd9d341afb1c33
BLAKE2b-256 dfd739d1476b8c5d08da4a7ae8dc146eec4ed78e2b5d05aa82c025d48fb792cd

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8e1ddc657f14f3439ede91881d5562a3a97555dec7e78bb339b46cc79f21c414
MD5 88646afe87e8b9a44c4fa28ea7a4afa1
BLAKE2b-256 d61fd20f4917074cde63bd8a9e4112ea6ae565385cb03c821e478b899a805812

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 127.2 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 65687d43ab97da1cc5558247742ac86f70ac154e68072bb604110a4f4d05b55f
MD5 978a8565b9ec88b9dc277eaeb0452e4b
BLAKE2b-256 7a428483df35af4791a4d02014196efa570f5cfc17a3cd2118e58dd4022983d8

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp38-cp38-win32.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp38-cp38-win32.whl
  • Upload date:
  • Size: 111.7 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 b9dc019dcfb9f3d3f3c9f10be56d8fa1f4b87e7d3cd8d010b84df83f94cc4f68
MD5 af61b55a724caef226d9a1683b019c5f
BLAKE2b-256 838e90f07465ebfeb2a930c27f92f01083b9203a9345bfd4ce4de5c8b36016d4

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a5c3508aafc8989cf0d37a7fa1adb6d4c4a7bc51d3696092303c70ba2e466ebb
MD5 ad66a24c5fcebed400e6223fcd5d5ac0
BLAKE2b-256 867f7b1a7e4a0e2698dfc3ab737b2e0908faec4855f766e90280b96bc0b8a033

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp38-cp38-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 783.3 kB
  • Tags: CPython 3.8, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 d0625cf00f8335e65de87fda69307d76ee13425e509de4c30ebb71bfee1cd221
MD5 84ce3680cbb663324827bd30eb801ee2
BLAKE2b-256 a5b6297c6416a10d84359e55eff3c72e951654d9852f207e0b6610c2228b31e8

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2a3663e21bf65987f9f3735ffd0a07d9dc35ec65c7fea62a52d353d9f10d3a47
MD5 12631d77ccf621d589e56d92fbc7dc87
BLAKE2b-256 770e2a5a82aaa62959db0e2797a9619aa69d997e9d671d1c19ecb84fc58294ae

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 370caa0d195bab4c17bfb15663e892e2f4e43383a8c0be785b5c9f5642b97629
MD5 7a6ffe77e00e4555afc84e2408d07908
BLAKE2b-256 0eae5989a8602e91c5dba6554795dc8ae1d2cc4e5c7b51ce6c8ed8578566ec60

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b5d9112b6bb069192ad3fef4bef8ae0652b45285b16957eee7482cdc47facb35
MD5 1881fd31eeab198e13d90c372c5c07d9
BLAKE2b-256 aa617a0986d99904379a4e8908ddb7d1b1034c3b6dfaf31a07162229d1ecf076

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 70885a475a9901b07a9d3c9499549be7d590baeee429cde934e87f8806bd4bb9
MD5 3f59dd22d13a59fc9d415d05d3f745de
BLAKE2b-256 836daeb512ae397112d1d3323f379d6464d53a1d2c64d39dbf093c8420ee01e0

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 127.7 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 3fbdff1f21a1d863b16fb5a407ae60238436d6a3f80c3fbdbae0d7295a2c75fe
MD5 52bdb7dc6bc68646a5448f660bd23da6
BLAKE2b-256 0da360859a3f891217c8dfff05d4f269ae4e3db8045c00b9b284ca2a20f0613b

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp37-cp37m-win32.whl.

File metadata

  • Download URL: vhacdx-0.0.6-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 112.8 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for vhacdx-0.0.6-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 e0526c4d5853af3f245e8ee1e875cc68dc5baa787525194c221380174713cde7
MD5 363658c3edee399256fb6c91c000f655
BLAKE2b-256 4ef5d2eb0104d47b7587396f6cfa8bebedd10bb89502a166b949145f5ecf9834

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 99e883a919755db908eb90f207d0989190328bc614f3d38d78f1b7f7030075c9
MD5 b4b172dcdd1f12f5775a2297354bff79
BLAKE2b-256 b6acfd845ca569ebf6c087ab32a200eb632269b594c04b6b8a31e06b506fe966

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 205c2dbcb729fedc1b6013647fc7b089ecf0f30b16d1b811f23e0d0a54c6c6f4
MD5 fc95eee6edafab427aaee3c6ccedec2f
BLAKE2b-256 527bce56b77a47e519d0ad54c4192d6145c9fc2b3aaba90f44c2a793e7dfa6c9

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5b280cf845c41578b59f25c3095b3880732bfc014299c619e4d73da130ac8523
MD5 a5bfbcfb4b00bd6c8803f3a6988c05fe
BLAKE2b-256 b013574d7ec2d05879eb11ea30a0ae0b54edacc2d20301e6b9906d2bc57d4e73

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4b122ad6101d410b8e1435b1619256a14b0552402b1a6f08d1aabeb1b4d19b41
MD5 dfd5095b089a37993408fdab1546abf7
BLAKE2b-256 8dbb0e4dc3f6a976829bae7b690cb2680ab5af7b3e500bcf0f4b6587549a86e2

See more details on using hashes here.

File details

Details for the file vhacdx-0.0.6-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for vhacdx-0.0.6-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 aea4e08dd35e5a3662817adc551a4ac5ad79eddb17325efafb98e23ae0bf2bdc
MD5 c4c2c3ed2b3ea5d8b7703584e3d57a22
BLAKE2b-256 d7961198cf36902a67c9625ec469525a39956c6772b8980fe0621f0dca243032

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