Skip to main content

Streamlined Cython bindings for the harfbuzz shaping engine

Project description

Githun CI Status PyPI

uharfbuzz

Streamlined Cython bindings for the HarfBuzz shaping engine.

Example

import sys

import uharfbuzz as hb


fontfile = sys.argv[1]
text = sys.argv[2]

blob = hb.Blob.from_file_path(fontfile)
face = hb.Face(blob)
font = hb.Font(face)

buf = hb.Buffer()
buf.add_str(text)
buf.guess_segment_properties()

features = {"kern": True, "liga": True}
hb.shape(font, buf, features)

infos = buf.glyph_infos
positions = buf.glyph_positions

for info, pos in zip(infos, positions):
    gid = info.codepoint
    cluster = info.cluster
    x_advance = pos.x_advance
    x_offset = pos.x_offset
    y_offset = pos.y_offset
    print(f"gid{gid}={cluster}@{x_advance},{x_offset}+{y_offset}")

How to make a release

Use git tag -a to make a new annotated tag, or git tag -s for a GPG-signed annotated tag, if you prefer.

Name the new tag with with a leading ‘v’ followed by three MAJOR.MINOR.PATCH digits, like in semantic versioning. Look at the existing tags for examples.

In the tag message write some short release notes describing the changes since the previous tag. The subject line will be the release name and the message body will be the release notes.

Finally, push the tag to the remote repository (e.g. assuming upstream is called origin):

$ git push origin v0.4.3

This will trigger the CI to build the distribution packages and upload them to the Python Package Index automatically, if all the tests pass successfully. The CI will also automatically create a new Github Release and use the content of the annotated git tag for the release notes.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

uharfbuzz-0.32.0.zip (1.3 MB view details)

Uploaded Source

Built Distributions

uharfbuzz-0.32.0-pp39-pypy39_pp73-win_amd64.whl (449.8 kB view details)

Uploaded PyPy Windows x86-64

uharfbuzz-0.32.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (642.6 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

uharfbuzz-0.32.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (605.2 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

uharfbuzz-0.32.0-pp38-pypy38_pp73-win_amd64.whl (450.1 kB view details)

Uploaded PyPy Windows x86-64

uharfbuzz-0.32.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (650.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

uharfbuzz-0.32.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (605.4 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

uharfbuzz-0.32.0-pp37-pypy37_pp73-win_amd64.whl (450.1 kB view details)

Uploaded PyPy Windows x86-64

uharfbuzz-0.32.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (659.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

uharfbuzz-0.32.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (605.5 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

uharfbuzz-0.32.0-cp311-cp311-win_amd64.whl (457.1 kB view details)

Uploaded CPython 3.11 Windows x86-64

uharfbuzz-0.32.0-cp311-cp311-win32.whl (383.9 kB view details)

Uploaded CPython 3.11 Windows x86

uharfbuzz-0.32.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

uharfbuzz-0.32.0-cp311-cp311-macosx_11_0_arm64.whl (644.4 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

uharfbuzz-0.32.0-cp311-cp311-macosx_10_9_x86_64.whl (700.9 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

uharfbuzz-0.32.0-cp311-cp311-macosx_10_9_universal2.whl (1.3 MB view details)

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

uharfbuzz-0.32.0-cp310-cp310-win_amd64.whl (458.2 kB view details)

Uploaded CPython 3.10 Windows x86-64

uharfbuzz-0.32.0-cp310-cp310-win32.whl (384.2 kB view details)

Uploaded CPython 3.10 Windows x86

uharfbuzz-0.32.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

uharfbuzz-0.32.0-cp310-cp310-macosx_11_0_arm64.whl (645.6 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

uharfbuzz-0.32.0-cp310-cp310-macosx_10_9_x86_64.whl (702.5 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

uharfbuzz-0.32.0-cp310-cp310-macosx_10_9_universal2.whl (1.4 MB view details)

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

uharfbuzz-0.32.0-cp39-cp39-win_amd64.whl (461.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

uharfbuzz-0.32.0-cp39-cp39-win32.whl (386.9 kB view details)

Uploaded CPython 3.9 Windows x86

uharfbuzz-0.32.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

uharfbuzz-0.32.0-cp39-cp39-macosx_11_0_arm64.whl (648.8 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

uharfbuzz-0.32.0-cp39-cp39-macosx_10_9_x86_64.whl (707.1 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

uharfbuzz-0.32.0-cp39-cp39-macosx_10_9_universal2.whl (1.4 MB view details)

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

uharfbuzz-0.32.0-cp38-cp38-win_amd64.whl (461.7 kB view details)

Uploaded CPython 3.8 Windows x86-64

uharfbuzz-0.32.0-cp38-cp38-win32.whl (386.9 kB view details)

Uploaded CPython 3.8 Windows x86

uharfbuzz-0.32.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

uharfbuzz-0.32.0-cp38-cp38-macosx_11_0_arm64.whl (644.6 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

uharfbuzz-0.32.0-cp38-cp38-macosx_10_9_x86_64.whl (701.8 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

uharfbuzz-0.32.0-cp38-cp38-macosx_10_9_universal2.whl (1.3 MB view details)

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

uharfbuzz-0.32.0-cp37-cp37m-win_amd64.whl (459.2 kB view details)

Uploaded CPython 3.7m Windows x86-64

uharfbuzz-0.32.0-cp37-cp37m-win32.whl (385.7 kB view details)

Uploaded CPython 3.7m Windows x86

uharfbuzz-0.32.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.7 MB view details)

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

uharfbuzz-0.32.0-cp37-cp37m-macosx_10_9_x86_64.whl (699.9 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

uharfbuzz-0.32.0-cp36-cp36m-win_amd64.whl (529.6 kB view details)

Uploaded CPython 3.6m Windows x86-64

uharfbuzz-0.32.0-cp36-cp36m-win32.whl (436.9 kB view details)

Uploaded CPython 3.6m Windows x86

uharfbuzz-0.32.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

uharfbuzz-0.32.0-cp36-cp36m-macosx_10_9_x86_64.whl (700.2 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file uharfbuzz-0.32.0.zip.

File metadata

  • Download URL: uharfbuzz-0.32.0.zip
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for uharfbuzz-0.32.0.zip
Algorithm Hash digest
SHA256 209ac2abe706b6129e160dd4a18aeae813c09e10e43c116e67a76fb025cb8cbc
MD5 26c7d360f74dcaf3523593bdc5a4d334
BLAKE2b-256 d030dab91f5214047b4e72e6f9b2e1d9d6c5929583858301ff939e7941a23640

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 2652a046d31c842434d9155f621353fd604b89ca5a98a8189ac678f7351cbc76
MD5 819ac8952cdaeda0124ae5b04c181b83
BLAKE2b-256 b6acfe0f53e696a0d855dfa2bdef88d41fcbf4abac6f136d15f91a8f27a457a3

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e83068ac19d321d08fb5780929d00d5310eb0bacc980ed3fed8ef6dfcc75199b
MD5 9c8d4357a0d2f07908cbf3c97aac0904
BLAKE2b-256 8c2b30f5d2ea05f51af04e3d2a43e298523ed7e518eaf54af198c0963eee6aaf

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f12f451fc46b993e5313698296607923f08b6f198ce4a493293b3d6be7dd22e6
MD5 5e3b1eac4f79c3372fea74e6280ebb46
BLAKE2b-256 c60972d87c4e0f41227004f7c03ef7fc7e2c47b56cd648708376390cb0a1688a

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 32c5decfd36225c1726b9a32ff126b75616134d29d900addeb3de6a53605870b
MD5 3f1a777edf192050927385b955dcc3d4
BLAKE2b-256 199141893e6e0389691dc23685c190dfab5406c2502d02e250ba352dd4582b51

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a17ee362791ad3d8cf18509845b2501d5cb766279c54798704f5eedf7c3f19b3
MD5 aadddb01773ed44e6e9f4608466d58f2
BLAKE2b-256 30df98aae9d7aa0d78f9a8ce45b3a2c578cc143ba880a44dec47685206dbd00b

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 faf80398c8aff75a95a24f2e2633f0bc1bf29b49a2056017ee1dee443fd5caa0
MD5 648dfad6c7ce0893168a55c08e81747a
BLAKE2b-256 ef188b07265bc9f805223755c57505985f3e02b41f9f077ef261bf1ffbc676ec

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 fbecf72e22b3f6f8c498f87356c90a7de5eea9670f297caa5565be1d84945bb2
MD5 7e9ac89c50f5e3ad4d3ec37430b0d4ba
BLAKE2b-256 f83bea3d3da2eb5ea347e6711da6c64d606378a1d1d610ccafdc0554e3120a18

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a8a3499e766b925b79d26adab17a5e9ead11ace1eaa9830df11cf68061b42b60
MD5 ec7fc19a47f2571b40e08c5c4b11d636
BLAKE2b-256 4539c72d21194d76e991275ca026771b24d4322f76cd2794dc7af91146442747

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6a4e01d8df0f3b1a5f0dacd6fdaacd5ab7957c3637fc1b40ceb369093161c92e
MD5 f40d1cc16764dc7511e8b10598567122
BLAKE2b-256 77eca0b34454890c352a443eb9dad5ed1e98da27274253ef2fb5ecdbebad2c6b

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 b81ead7fa91b66b43a7caa57e70943539028ca781ee3d267665b592fc68851a9
MD5 69d9d78d190c5ddbec9afea8b8ac9104
BLAKE2b-256 66fbe0e6245f272745fb8829192e4786984af61a72ae8aef4429ca4606f35ca2

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.32.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 383.9 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for uharfbuzz-0.32.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 790827fe825b69e5b89e17323f25a3f5223b428168099ca6203caf9fafaf8bcb
MD5 8261da66116a642f65ebf385457b1efb
BLAKE2b-256 a5dbc475a810a2604436c88c5d935de4563432db58d0ff0177cec473a0ae72de

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5bac3198b5c543650dccb9b3d92db8f3e124683b966c095b16f6fac93564341f
MD5 d5bb5d99be7d5066efbbf9389f173fa8
BLAKE2b-256 1d02a3ebf0ef46d95252b21e609599952c0b318d298b72abf7238913e1e34acf

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 facfb1cad8779b9fbf16a19f1675d175b6936570009fc16909634a3d83870bca
MD5 8318e962869cd15ca2f50350e88c80d0
BLAKE2b-256 aa600d65605f7fe79f332f58fc9b09e6565644bf51ab858f290aa9e4d39f7d9d

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 95f1b9e78b0b51f02b75d3dde3bd0bec5cffac96b60f27eb30505c92f7b54c91
MD5 c6a2b9140a1d2d7cef64ba375657b61d
BLAKE2b-256 f181a6ea2b7d8ac328531b097cde21e02dc2a1cfba47fdd50f5e28508f11ef60

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 242051369f8cf61df385e7b3b497e653bdf7698cea7ae39f75f4465cd7dc8ac2
MD5 2b047c5ada8e7fe40897d53f07a035ce
BLAKE2b-256 da8656d55de680aa80542a9b388ab4e72abf576bffe90bb2b8280958ae605a29

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 52de9122f3961dc65f6fc9374b07b8ea3ea9c79b618d8c8b006f8f1f9fdf1e02
MD5 eee55ffc5562113f16664c7d0c7afd6b
BLAKE2b-256 48d17b806aad4b28876226a6edfe6595f93aa6a8041c978908a3f42d8f925b00

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.32.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 384.2 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for uharfbuzz-0.32.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 24efef8f6b039d7834d6b8d0828b4ce89bc9be57abd2d5ea2027997cbbb93eff
MD5 e2025b3f668c1b9f6fc26bf8f7bd9dcb
BLAKE2b-256 5df105eb403851ae4e2f67d5d6e65f25503e84e5267498ee5bc3d37f058d2b74

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e9648daf8717bd150affc338f6937b167b94bec1264175ea62199d8a710e7b4a
MD5 03f2d2132026b2e25e5daba337e10666
BLAKE2b-256 28765ac25053582349f4f9479606e48a1584e110f08cb9d3a8ae11be09f78cb7

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 86cc96e4186fa3e80b91e7ef76094605e8b5c2bcfecaf4fff94453c6eb0ef82e
MD5 2db54e29ef148349905c11ff0a94c565
BLAKE2b-256 4091a73695152c8c8f3e22ecb92a26ef9281fe1ef83645fd958f14d388facc6a

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3ff0376cc775276777ce9e788f5ca7c78a3ef46041613e184a88629d4c15bae6
MD5 1b89aff8e1233bc974391f86bb816b2f
BLAKE2b-256 46389bbf72fec126a48fb6481fd088c47c7f38114bd8c067b5687a80fd2ccc2c

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 151603a44e1d6441777ccef28698d9285919882c0daf9d942868fdb7a9682a65
MD5 38d4e938a9145e0cdf1e394130c4f977
BLAKE2b-256 d6064e91f9452e12b52b234e9105978a866bebe8b22a4a10c902b964f6557af7

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: uharfbuzz-0.32.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 461.7 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for uharfbuzz-0.32.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 59ac2f51354e604963f26dbe22e337544562b90ea78a9850361b124b04337ef0
MD5 fd48aae450df2df47569e7788aaa13eb
BLAKE2b-256 77dd2887a44777a3d8b8a10bed0985f08bc7cea168d4af667cc9ef853ccb0835

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.32.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 386.9 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for uharfbuzz-0.32.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 143e3f9050cb2d16926a10d161fc0beb276a00b7acb570ab165f6e9ead5806d3
MD5 bd1955b660793a1d9fcbbf96605d4502
BLAKE2b-256 f690adfd31fdd78acf9d3cafb88b11174387f08752a414bd42f04d5091ea1b6f

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 55baec4f951dae377099f4a91e10a18f65fd80012cf723e7cbd85c088ef94d35
MD5 75a21e18d697fae0d625a07fdf0ce242
BLAKE2b-256 635c6bf81f3d66ef983a2dea0f4575bbbe7454c31dc43830b8664d7d5e21a93d

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2c7f140b9e7cf30081a5b617c752790b6ff0c4b016bac7784a51ff574a7166ee
MD5 1d64c2ab388020ffe96b0c01617c8559
BLAKE2b-256 34736ad6b6962ef5e798e03d12203617029aaecbaa8fdae4c7cbca272bc9449f

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bab7313490fb1cee2e60d2388e7bf60aae750aaa4a443e242937da3b2fd8066b
MD5 134d610b0be789688788d2090d84bb0f
BLAKE2b-256 fe4236aeb7d1a411fe337a6c3b61dd002f91bcf8d67b9067935e50786a681a30

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 32139f2d5df48230a3a39c6ffc3e0654ddd7b78dd6175e48b3bddef38a6001d1
MD5 1f5a29243f005dcd86508383eda02971
BLAKE2b-256 cbd386418a4626236c5f79cffddd1283a8d229e969b89413486a10e30dbbfeda

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: uharfbuzz-0.32.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 461.7 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for uharfbuzz-0.32.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 659076f5fe844857b69699484c25499fb640d11f8ca635d1dfd7774f1c4e5fa5
MD5 52a2b4c6317a893c9f938b7a25e956c4
BLAKE2b-256 f9417bea02dfc4dcd810f8ffd672f495da619ba74736f2ad7df6a5e586fdf55a

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.32.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 386.9 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for uharfbuzz-0.32.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 18357ca239614d771d59978eb36612a2b1e33e514511c11eee0acf763afeb2b0
MD5 710b01d094b72de004c557dc1fcc2647
BLAKE2b-256 4c053720875dd94ecb277544a08029de28a66447009815d61740a5606930d12c

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 04cdc453977759569c8adf1a6d2fde02e95caaf7a8ce9c41054aabf5a88446b9
MD5 e06d011e78948c7558962b6457003b9d
BLAKE2b-256 273ba8d5edbc4b428169c41ea75122280090454a42505bfbec494392884da73c

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 372d3cdda722875b8c97b42e6987160c3328fddf8d439b94742d5e5555207df7
MD5 716b5fac71b81a248839954505859ece
BLAKE2b-256 8fcad780aa5b3dd12c09b9e07a8a57053af3f9f7804e4d898e6013163164a8d6

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b794bdc63ef805f26246a9694d4936162101d4be89ed156f1c08060c42a88006
MD5 39fc7c3a24a6ea515a365f6ceae16962
BLAKE2b-256 9a47a087b7f58603feae79c02bfd1f156f93372fd99f29d33c21f8337b8a5c5a

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 66836f87e47ba2ca34b7691016c7bf8fa3c44448382da90e2684412d53daf4d5
MD5 1b499aaad8df10d34626dbc74b9ec05c
BLAKE2b-256 a61262c4ce7b5c438e8fb27e2735490ba2ee6bf17641b21bbf1134aa53ab401f

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 c14360e3347b1b34efa98a0dba5fed0863b71f222b2b14e221c76503f78a6ce1
MD5 fb67691e265ad407fb7e7426f0c430f7
BLAKE2b-256 b2d78929a32c7728f94cfef65217908c5d63042d6d7a9429745bcc1ce5e8eb1a

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.32.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 385.7 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for uharfbuzz-0.32.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 772c8b48b82a7eeb93e722badf9dd09921e1d65ff52f8224d51130fcb86aa1d6
MD5 8aa19cb07ffa67f2948173bc65db7640
BLAKE2b-256 0b6d71d5d65984e698dea9ca64c53d9021862ab3d92cec9eafc08ee02f62aa09

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8f61e4cf32e3e5c75086a67638053053036a2e7172fc61ddff0f66ec9ca242b2
MD5 811963a7e7082a0cd8efcbaa9bf4dbbd
BLAKE2b-256 ac6dd3d212c9c3254b03778036c9b35a9608e86beff748ae0e5d56046bf57acb

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 17373daf08faf0044770f74dc06cd1f589e7306f6b737b15dacf1a5f997cb730
MD5 a1fd2626716650c64be699654a38be87
BLAKE2b-256 64e5198905311318c48fb0868336c6c5302d4d76ec1e698425d52f4117b3ee55

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 fbaba7b4834573f689012e7bf002948cf71da03ef4adff0f638bde7f6397c775
MD5 fbdb36472c2627717c5c6777acc3ffaa
BLAKE2b-256 b9b87f7fde1b80d062b77ad1fc4560bbdc03437945e15d3e0dee8c2c859fe1aa

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp36-cp36m-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.32.0-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 436.9 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for uharfbuzz-0.32.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 5694e2aed81fc5f541a2ebc3aa53b967cc48898520556bcad7fbcd352d21d5da
MD5 a1a04c5c3ab94aa5a94423af710a0c93
BLAKE2b-256 54d25da7e216fcb81aecc439af13ff369c1b367d5c28394a169bff2ce43c6368

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 726faa21f51b18f3fb9d9f6b488d8d49a6016b4cbb7733c01dff6da437181e40
MD5 53034af5e368fdb5771fc6c0ef4dcc36
BLAKE2b-256 247409fbf0ed208551a1039c1261653e98fb8b02c0daa799c7f5e7ab40fb2512

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.32.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.32.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 258ef5ffc57de465c2433648923afaf5589ca39cf0df2c6c65c52f353bc35f07
MD5 061bef141ede9ee64dc28d806226b3bc
BLAKE2b-256 bde3bf51890a01a4d4dc185ae6e48dd276d3ef8b9b7ae86f24f780170d512216

See more details on using hashes here.

Supported by

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