Skip to main content

Python bindings for libgfxd

Project description

pygfxd

Python bindings for libgfxd

Refer to the original documentation and function docstrings for usage.

Before running the library, run make to build the libgfxd native code as a shared object.

Example in test.py, however sample data is not provided, please source some yourself.

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

pygfxd-1.0.5.tar.gz (54.6 kB view details)

Uploaded Source

Built Distributions

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

pygfxd-1.0.5-cp314-cp314t-win_amd64.whl (56.0 kB view details)

Uploaded CPython 3.14tWindows x86-64

pygfxd-1.0.5-cp314-cp314t-win32.whl (51.7 kB view details)

Uploaded CPython 3.14tWindows x86

pygfxd-1.0.5-cp314-cp314t-musllinux_1_2_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.14tmusllinux: musl 1.2+ x86-64

pygfxd-1.0.5-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pygfxd-1.0.5-cp314-cp314t-macosx_11_0_arm64.whl (91.1 kB view details)

Uploaded CPython 3.14tmacOS 11.0+ ARM64

pygfxd-1.0.5-cp314-cp314t-macosx_10_15_x86_64.whl (87.9 kB view details)

Uploaded CPython 3.14tmacOS 10.15+ x86-64

pygfxd-1.0.5-cp314-cp314t-macosx_10_15_universal2.whl (168.7 kB view details)

Uploaded CPython 3.14tmacOS 10.15+ universal2 (ARM64, x86-64)

pygfxd-1.0.5-cp314-cp314-win_amd64.whl (56.0 kB view details)

Uploaded CPython 3.14Windows x86-64

pygfxd-1.0.5-cp314-cp314-win32.whl (51.7 kB view details)

Uploaded CPython 3.14Windows x86

pygfxd-1.0.5-cp314-cp314-musllinux_1_2_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.14musllinux: musl 1.2+ x86-64

pygfxd-1.0.5-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pygfxd-1.0.5-cp314-cp314-macosx_11_0_arm64.whl (91.1 kB view details)

Uploaded CPython 3.14macOS 11.0+ ARM64

pygfxd-1.0.5-cp314-cp314-macosx_10_15_x86_64.whl (87.9 kB view details)

Uploaded CPython 3.14macOS 10.15+ x86-64

pygfxd-1.0.5-cp314-cp314-macosx_10_15_universal2.whl (168.7 kB view details)

Uploaded CPython 3.14macOS 10.15+ universal2 (ARM64, x86-64)

pygfxd-1.0.5-cp313-cp313-win_amd64.whl (54.8 kB view details)

Uploaded CPython 3.13Windows x86-64

pygfxd-1.0.5-cp313-cp313-win32.whl (49.9 kB view details)

Uploaded CPython 3.13Windows x86

pygfxd-1.0.5-cp313-cp313-musllinux_1_2_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

pygfxd-1.0.5-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pygfxd-1.0.5-cp313-cp313-macosx_11_0_arm64.whl (91.1 kB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

pygfxd-1.0.5-cp313-cp313-macosx_10_13_x86_64.whl (87.9 kB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

pygfxd-1.0.5-cp313-cp313-macosx_10_13_universal2.whl (168.7 kB view details)

Uploaded CPython 3.13macOS 10.13+ universal2 (ARM64, x86-64)

pygfxd-1.0.5-cp312-cp312-win_amd64.whl (54.8 kB view details)

Uploaded CPython 3.12Windows x86-64

pygfxd-1.0.5-cp312-cp312-win32.whl (49.9 kB view details)

Uploaded CPython 3.12Windows x86

pygfxd-1.0.5-cp312-cp312-musllinux_1_2_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

pygfxd-1.0.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pygfxd-1.0.5-cp312-cp312-macosx_11_0_arm64.whl (91.1 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

pygfxd-1.0.5-cp312-cp312-macosx_10_13_x86_64.whl (87.9 kB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

pygfxd-1.0.5-cp312-cp312-macosx_10_13_universal2.whl (168.7 kB view details)

Uploaded CPython 3.12macOS 10.13+ universal2 (ARM64, x86-64)

pygfxd-1.0.5-cp311-cp311-win_amd64.whl (54.8 kB view details)

Uploaded CPython 3.11Windows x86-64

pygfxd-1.0.5-cp311-cp311-win32.whl (49.9 kB view details)

Uploaded CPython 3.11Windows x86

pygfxd-1.0.5-cp311-cp311-musllinux_1_2_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

pygfxd-1.0.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pygfxd-1.0.5-cp311-cp311-macosx_11_0_arm64.whl (91.1 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pygfxd-1.0.5-cp311-cp311-macosx_10_9_x86_64.whl (87.9 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

pygfxd-1.0.5-cp311-cp311-macosx_10_9_universal2.whl (168.7 kB view details)

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

pygfxd-1.0.5-cp310-cp310-win_amd64.whl (54.8 kB view details)

Uploaded CPython 3.10Windows x86-64

pygfxd-1.0.5-cp310-cp310-win32.whl (49.9 kB view details)

Uploaded CPython 3.10Windows x86

pygfxd-1.0.5-cp310-cp310-musllinux_1_2_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

pygfxd-1.0.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pygfxd-1.0.5-cp310-cp310-macosx_11_0_arm64.whl (91.1 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

pygfxd-1.0.5-cp310-cp310-macosx_10_9_x86_64.whl (87.9 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

pygfxd-1.0.5-cp310-cp310-macosx_10_9_universal2.whl (168.7 kB view details)

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

pygfxd-1.0.5-cp39-cp39-win_amd64.whl (54.8 kB view details)

Uploaded CPython 3.9Windows x86-64

pygfxd-1.0.5-cp39-cp39-win32.whl (49.9 kB view details)

Uploaded CPython 3.9Windows x86

pygfxd-1.0.5-cp39-cp39-musllinux_1_2_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ x86-64

pygfxd-1.0.5-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pygfxd-1.0.5-cp39-cp39-macosx_11_0_arm64.whl (91.1 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

pygfxd-1.0.5-cp39-cp39-macosx_10_9_x86_64.whl (87.9 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

pygfxd-1.0.5-cp39-cp39-macosx_10_9_universal2.whl (168.7 kB view details)

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

pygfxd-1.0.5-cp38-cp38-win_amd64.whl (54.7 kB view details)

Uploaded CPython 3.8Windows x86-64

pygfxd-1.0.5-cp38-cp38-win32.whl (49.9 kB view details)

Uploaded CPython 3.8Windows x86

pygfxd-1.0.5-cp38-cp38-musllinux_1_2_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ x86-64

pygfxd-1.0.5-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pygfxd-1.0.5-cp38-cp38-macosx_11_0_arm64.whl (90.9 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

pygfxd-1.0.5-cp38-cp38-macosx_10_9_x86_64.whl (87.7 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

pygfxd-1.0.5-cp38-cp38-macosx_10_9_universal2.whl (168.5 kB view details)

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

File details

Details for the file pygfxd-1.0.5.tar.gz.

File metadata

  • Download URL: pygfxd-1.0.5.tar.gz
  • Upload date:
  • Size: 54.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5.tar.gz
Algorithm Hash digest
SHA256 b31f5f862dccc2e0faa605cc16cd63a22feb3244c07a2063037421fcd3f67145
MD5 c5a5d2317d6a6a4f6dee95391784baad
BLAKE2b-256 179498ab685e4f62c39db84c2c5fed714e1c04bcbd934ccf35e231a5219946a7

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314t-win_amd64.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp314-cp314t-win_amd64.whl
  • Upload date:
  • Size: 56.0 kB
  • Tags: CPython 3.14t, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314t-win_amd64.whl
Algorithm Hash digest
SHA256 7560f78fc3ace0e4f309a1cd835e47bc4ca2b1617cc552a11a77c2e1fb468cf4
MD5 18fd64321df9046b65cf2423888706db
BLAKE2b-256 7d06f5a42c801389383e6f8378690f18ff115b45627cf7608178300af619a186

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314t-win32.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp314-cp314t-win32.whl
  • Upload date:
  • Size: 51.7 kB
  • Tags: CPython 3.14t, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314t-win32.whl
Algorithm Hash digest
SHA256 597123d5575a41c74b28586c24305c7d986b8910e6a63420a4e77c89660a0054
MD5 861f65dee5ef7364388cf6d972c8c55d
BLAKE2b-256 ba94388403acb4d3792e80d62cb650ed51e32c03ba4f51fbde0455a084dc44b8

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314t-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314t-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 bb5d5189b96f2a49f15a6c008958ab559c4ab02b44bffe7e13b6a72445fc6edd
MD5 9485c366e65b2aa5cdf3220f50f07051
BLAKE2b-256 a635cbf8bbef44c60da7b525a8a6309ed08d26ea599e39118edfe48c3dd7b534

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 23a0a57c6626b63cb39225d9670fcb27c891a1842b8d683a9f6041a1635687c5
MD5 6724a42d9dde17e6cd367e6f78b10009
BLAKE2b-256 c05da3131feb944e5d6d76e59808c80e3f2b9785c47a78c8be2755bea9007e64

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314t-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314t-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 366abceef52a09520772aabe6dbaa64c9b21373b995c87c5bd9c6c347d0f3ce4
MD5 ade76b1501ba6aaaa4bb5e051a049c15
BLAKE2b-256 34708e32cf66c983cd072c3e61fec47aba2ca5c88bfa13ab442c32187265f787

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314t-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314t-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 239012270bc9442d61e775495b4ef100238a77d75273c237740718a475bb8739
MD5 ec1acda4f95f0f19ec70a555dbd2784e
BLAKE2b-256 2f7cbdb92191396bbf62565ab9d6f16d62ee0d1cb04b494db0643e3877235125

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314t-macosx_10_15_universal2.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314t-macosx_10_15_universal2.whl
Algorithm Hash digest
SHA256 129ddf28ef6564d53b6a677e1a2fc46ca99d1043fa4a0e60f65ed28b610b232d
MD5 74aadb6092c0e9b751fa00d278b7f53f
BLAKE2b-256 356f50f1c2d46c6e991841d82dc7d20935b04d9d23eccd75baceb3ae52c20c03

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 56.0 kB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 99a4cf6aa86d1dfb3f5ae1bc7115ef159271947b8abdbaf6da8b87e7a850ecd8
MD5 47d6d63c9a3ce00127bea2ea171129e1
BLAKE2b-256 2cfce99355b61971c1cc32eac8446d0968cea22ffdf2f699812f5f79d3febfee

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314-win32.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp314-cp314-win32.whl
  • Upload date:
  • Size: 51.7 kB
  • Tags: CPython 3.14, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314-win32.whl
Algorithm Hash digest
SHA256 9f9c642ca5553bb4031e260665788c1e624d4af53f0ccd2531e2f13c3a1ea1ae
MD5 215ad4097682253ada133b19cb89c5a2
BLAKE2b-256 eeb1b296b97d4fec032d57d7b2ed863d176d59566f55efb85c83ab2f914485b1

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 9130852b42cf50ef34b1a01de7d02a12e808084efca64833f7cc70ac21f8c437
MD5 099131623f8cc143e82bf9834bd507a5
BLAKE2b-256 1fd7c4fb87da3a95b1f64e6116661f5cafb694eb9a7b238101653d75aa5375ad

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 2907678612b087e06c9aaf2306cc1791c07ecf956a18615fa6e460a9f8bb94f2
MD5 c4195b8cec19660a04e2716f0e827a36
BLAKE2b-256 04713675d5d47bdf779d2c53119f5a88904d1a14e749083ff3e4cf9fa61bb9b8

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a1ea2f1b84ecad246042dc6be61304e71b2f8e062c86588fa673823e9575a89c
MD5 33de686ac0f0de41d09502ac48508b81
BLAKE2b-256 8d3086818688d572c7a463723655a63a232f7a7294f59f377e43ff8b56fe12fd

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 46e3e208e6bef8ab9fdf83bb14c799ea38fd5f7f3d8dd05eab0d225e2bb13118
MD5 952831f82b1b4041825afd9102eefb32
BLAKE2b-256 972ce4fb02401d68af973a2efb7da83e65ed8bde3d12f237746b0bb9d0bde1c2

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp314-cp314-macosx_10_15_universal2.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp314-cp314-macosx_10_15_universal2.whl
Algorithm Hash digest
SHA256 3387b391f8bc3e59b249adbca4403342d12c3223e72dd768ba6df5e1dbf61fcc
MD5 63cc35021d6519423bee8380315caab6
BLAKE2b-256 a54a194f95013743571ce07483b8782cf2caae046f3d9c6e4e4133f6a30365ee

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 54.8 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 daca1a94c82e8719f59412212648a7166dbd5ab8dd8cad54adb059fdcd6fd71c
MD5 0bce93acc3883d41370a02830ad35b7b
BLAKE2b-256 57987d2579d01706291a5b6eea9abdc902eff997600eed016d85cc1b09f0de4d

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp313-cp313-win32.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp313-cp313-win32.whl
  • Upload date:
  • Size: 49.9 kB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 5151b451006f1aba4b30e42e967ed9c8b50f61b06f310029be43923f131f25cf
MD5 22eda61b47c0b9073f3f45def816fa6f
BLAKE2b-256 5b20b9a808f2cdf5300a881db488778863f75c8db80737ff343ded30588d7320

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 de34f204e160218a5169f678bdb668aaa6dfc16e5119ec433194565296102159
MD5 db4ab2c111dbe7d246e6e1ce0d6d42eb
BLAKE2b-256 e86b3c1b2c90d3ca141b289160cf9b7cc34bcca177d35a74c17f316126f17772

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e2ecb3dc453447f194c3f84e5839f0e9d1f60e4835bb36f65abc134a3b4a0e19
MD5 e697968719b80bffcf7f19727c09e937
BLAKE2b-256 5b413f95238e0cfe5026b151c2ab36c3f81c893837d2de452f9c820f9200c6df

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d22081e20ee55a2bb973f25b717034b3078c1c3b45d4084cb42eb28007deeda5
MD5 1072703df8b19fffaf25c48fcccd5887
BLAKE2b-256 e1871efe4e2948a18782d104318abed5ff99a17b33ecb53b632c8837399865d5

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 9b2950c7adaec785d3ba933e5400c28473f329b3e3f731d78131b37b93d8f8c2
MD5 a7a10c803c5ac927af0644f0128939e2
BLAKE2b-256 931ee4823430188b725480f2d565a8bd82978e3d77d2891e2efae671799a52f4

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp313-cp313-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp313-cp313-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 e692ecadc106e8ddbea30820bc568951734827bd17128b0b42ec87298edca596
MD5 cdc695dbe0fc75e2a7f301c6a3c95db7
BLAKE2b-256 3534716f602c897d5d7550b198264c1a5d9cb64d2d52f5d4c96b69ae5512f177

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 54.8 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 0f68e50725f169e16a15e16b361f531fea4a08d00066da5d02fcd707a2790666
MD5 d8e270a592ae75766058f128322b5844
BLAKE2b-256 14a01332b12f4c49bcb61d1e5a5dd684043b8ea2a96a4f1b9b58b7aae86fbeca

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp312-cp312-win32.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp312-cp312-win32.whl
  • Upload date:
  • Size: 49.9 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 02bbae124e7230f063328024b7f1d6fd27cdf6153e3eb650b70a6c7cead35b32
MD5 071182967cb2269bfa9cf78b7ab2c75f
BLAKE2b-256 8bc1854d4adc01e731199205e1c51ad4815875462d4e114fffb8ad14f54a5d82

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 eb0f8a68475b4abd5bf856062d7a765597184e25901e63d7e9e3cb49892cbbe6
MD5 a3f4892b2f532bed758cd77c9ffbcb87
BLAKE2b-256 377b4f9965a8ed8074fe75fffc681c2753328a3624ea6a60f12a0032b15f3b63

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 f6574df3cce49105d3841d3fb47f7ad1a61afe18ba3d0c1c2bade1437778728c
MD5 76dda63ecc69dce6d7d2c1018841bc41
BLAKE2b-256 2656bde9f016d2353fa810166c1082c4e51d56e17ab465dc4183eb2d31519f36

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9bcce06f4c479aa1168a2f869526a67f0fffbb6fa678ada9b2e9501488b10700
MD5 b78ad217d4d9541807ffa69c1680506c
BLAKE2b-256 a2112478b82ec6c417de67065ace06a866c3c869561eab273fbcbccb12ea49d2

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 cbc364485dd6605c73ced3192c0ae91305d506e8f832a44296307d333307a12f
MD5 ec16ed60be7de7ac494d3f8645e88c89
BLAKE2b-256 d984a5009d4abc810d96c5aa0bbc4265ce58951b34af084609f684470507a762

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 22d9f0af2d60b5ffd7ab84e81ceba66afadc0b9e0cdd22484359decf34215928
MD5 102e4e06fc447fcebe4c0334ab5e0ebe
BLAKE2b-256 dabed3a5c965383cfc25ef599fa38d72f75e60a3ff1b42faf33c71f7eff20df5

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 54.8 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 f9c3290c5c734001bc7c1235c6d7092e81a21d70cfb9b1847cd7096828bba072
MD5 35b0e6dbcbac0c2038647cf344b66750
BLAKE2b-256 3308156a47a928d70750ad59bfd760b22d15980d745902a71b2894072b1aa08c

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp311-cp311-win32.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp311-cp311-win32.whl
  • Upload date:
  • Size: 49.9 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 7a0245c2081d7b9917039451dcfed4d82edda5f9e887bead6c5debb808dcf033
MD5 7de9a5575e5939603280dbacf007c3db
BLAKE2b-256 f2f674e6a8c90cad416c08fba5346fef31fd928d5e04cf84f570343b35daaae3

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 97b3782dd938ab3d2be00bfcd3fef271cbe40d01b2a648f0e18dedfaba8c981d
MD5 edb5864682948e594a2de7759800bcfd
BLAKE2b-256 cdb471c2f0a13fde5b8a981a9841552d2c0c1b2dd45c1fe84537e5a3809fd5e5

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 807f6f28ee75f72e4ac7105bd3dc86b7b9e440b0e6c1184eebfc6407641d227f
MD5 5cd109db5defe9e163871d766c8e101e
BLAKE2b-256 dc447526636d41eaa9aed98fed5a731d1059ce7779b8d6322fd77d54f250c7b9

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1c1d726c9a0215e8d0f6ee1b4849afc4c0ca43a35e6c679c2ef1cde490ef9983
MD5 7d0f268268e93828844be4fcf3151b85
BLAKE2b-256 360130ceb2e2faa67442ecddb63b8d50705c290ff75396ab2554767fc33b4b7e

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5cf1ea53ff6fe4b36ecc660d3e393a8fcbb576a2e810916c5668d89df1867bfe
MD5 6c97227a49eb1734829c7b0dd4707068
BLAKE2b-256 682f9b624ad4bb5fe402bbebb1d9b801e7735f14323f3e2dc1ea41e63be565f1

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 5b87de178d3d54a112a63c0f38f26fd9515806de26174596a438aa07c37bea82
MD5 a0a14999559512e6f4bd6235ee5ade0a
BLAKE2b-256 e91680b153e024900aa4a64747e0ae2f3891d33541a28b82d026e0f7c48249ff

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 54.8 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 e5c83e0714f0c49544829ba73f842bb59d926f5f41d48cbb5460676c68aa7ed4
MD5 1a96adbb6f9e12765f12f1518808fe7a
BLAKE2b-256 689caeb095f24b7bb8f4b412058dc49bd84a529601937647d6381444e8f08277

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp310-cp310-win32.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp310-cp310-win32.whl
  • Upload date:
  • Size: 49.9 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 839b5f04305ddc78154270167fe779d9ce6011086ed7a281a6d1fcde200ee043
MD5 9a2104a6764ba1ba26e0a466c61b8631
BLAKE2b-256 e6a28edd9640595bddd371388c1137340f9c7e89f975a816e85fad2703074dc5

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 5c213d86deba9e0a4f871a98099b760e4448c929e3e14fc12048e689a11bda9e
MD5 1b485f8eed31c407c677aad8ee181b31
BLAKE2b-256 77bfc307fab713a027ed11e5570072cb277e29b6589ae782df69460f87c9beb0

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 2835db71253fb1a77b3057e228e96eff28b0b7b6fd56f6039ffdea7365ebd095
MD5 cd5ab200b12577e6952aadb9b8b90c60
BLAKE2b-256 64bc21ab60785585993e91e453e563306e0df92438234fadcd735ddc79c89e5e

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 78911005f7694aa7db00949cd9238b8075cefee748b44c088069837173d0e640
MD5 b8458bd7af7bc85dc8c6491d28407e49
BLAKE2b-256 72d2cbcf716e6b37de12f06c2daea1e6c11a9171cf5b2f060005f6fd37f7c147

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 44c6b87613f9876ab6fd65aed82b47406da061bd38d0257306bf1126c5a1b8e1
MD5 ea47f21d168cb43930cdd0087d30253e
BLAKE2b-256 8462b034d6bba023d96a507028f6114a5bc1451cb9880759be59a5424f3347b5

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 5b7219df830855454064f4effc86c8a5584ef7eeb5092e6bcc9158d3c1bfe278
MD5 50056db873b603c711985981527b3810
BLAKE2b-256 68798dc6a73df27dc211150b1ccc50bb6537e06ddff91eb3f4c7cc149a8eebd9

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 54.8 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d4599e7e1a30797fbeb31ec43b908e63dc5e553aaabaf27559193d82ce2f6d41
MD5 e6bedd2c47ee028e5107f65079bca08b
BLAKE2b-256 95d7e0a38b7c98b497feec999eaa5bcb6ebf353c36bc1495b069ff9eadc9a9ce

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp39-cp39-win32.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp39-cp39-win32.whl
  • Upload date:
  • Size: 49.9 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 0bf8cefa9dd071aa13a510053dd5643a36ef939320f2c7860e2b46a25d6edccf
MD5 3e384addb6ee9b626612b743e21428f9
BLAKE2b-256 0d3a4d876adb0998aacbd8209fbf2e82f4ad39ee7453e03e064e8bdc8ef5719b

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 cdd738c751bd8f4db91c131195fcef6daf6a489ace4fd76cafa8100e1be1b1d3
MD5 fe910760011472560f77239f15b9df1c
BLAKE2b-256 faad62faa5e36d577d40181b5e48a58e415a6911b57a0936fadc61cc3e56f121

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 15d48596ee4846b8667481f93edc0e4e951e66ce12d13afbe562a830cba54a0c
MD5 be152c2e33c4e49b1fcf5f36cb9ad077
BLAKE2b-256 44dc96cb5aa960fbe2e5959611165e0d9b916beabd3ecd4cf12426eb1c68396c

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 10bc0a7c16e39e8d3743a84db99957493cc3d95ce90d67c21af0a5f8f52d1e9f
MD5 3cfdd6c40b14151e2e6650138bdf4fd9
BLAKE2b-256 0bc1dd255f9fd166fab66f8dd1a4070a3744eea851644fc0ee19af237a60eae7

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0a7f85553b84062e315643ea4ffcc57d65d6cb7b197eebb04d6ef4634c7177fc
MD5 5c5d75032b4033e2c5f0dae013a4ac5c
BLAKE2b-256 16256ba2f8cb4fb41321dc423b2d640672ba41dc86b5f180e3320361227f451a

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 0b5cc4efb707049f65586c7233894e08811a425d49b3dde0b8c1cc4c48e5992c
MD5 9e50c6dece6b1d6eb6ee2e36dabd004f
BLAKE2b-256 9cfb09f87839f5104b855b302b1d51b2a70767115a2264962a5e44b3244bf5d1

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 54.7 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 318f9614819f82df254fa744250f41babcf82ee51be901626c9e197c4b354484
MD5 f329526f712b60039030d59b95cdaeb1
BLAKE2b-256 171e9cd40d8f5fc9d4ca810d5c2490a69db0d68823518ea5d717bdd880fed577

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp38-cp38-win32.whl.

File metadata

  • Download URL: pygfxd-1.0.5-cp38-cp38-win32.whl
  • Upload date:
  • Size: 49.9 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pygfxd-1.0.5-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 5b404145a77c60a71cc1a1eb4810fa9f7d64ba5c21312f3bde448d9da0adf69b
MD5 f231209e593c995bce10878e1430c602
BLAKE2b-256 1215deb090569c107d8def0f789d40598412a57f08fe23bdb0398a9f5539c12c

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 bd2e9f2600e9b2ac569b51a80a8064711949e684491d528abf8cb79bf4c2905d
MD5 1507c40da9f51ff5c563596fff7858db
BLAKE2b-256 61b07cb63a2d861ef8771e3e072341a1b60db3a99d5cd24262111bdb51d7fafc

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 95f9549638e8e7fea2d1e0767c8f6ff75c2f70bc1d3feba1f9f52a00bfeb9325
MD5 83935a3d107483cf10bbc37812ea541e
BLAKE2b-256 a17e598ec1fbf6e315505d55f5c1f3bfbfb6ad3b7d80e932e86e0cc132672db1

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 41b256dda3764ca15aa09bf9627b3a11701f90dfa4d1deae9be1ceeb5d37ceb3
MD5 30d08b93725906323263490174d41029
BLAKE2b-256 bc42646f59da7cb509f6ae66d6906f1d78cc7c9acb37522beed2e6889415a7bd

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d55ec3b99cfcf59729ece65e0967d189898e274e665f2dda6b3b1c601bb49009
MD5 e44aa6760ff1e660930958f667e561a6
BLAKE2b-256 8ccab57be1384c1962737ea8de780cea4f9b7d72991628a82caa3fdccac3df27

See more details on using hashes here.

File details

Details for the file pygfxd-1.0.5-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pygfxd-1.0.5-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 21075e71aab2e242ba71e4c20d84da390fc70cee65c06952fb6b575a2b1d6ae7
MD5 8e7ff83d3a60dd6e075074aeaf269c83
BLAKE2b-256 e2ec6a52293d627a88b67d1b0b8170cc76aa59330ca29e25711f3f4d5b615996

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