Streamlined Cython bindings for the harfbuzz shaping engine

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for anthrotype from gravatar.com anthrotype Avatar for just from gravatar.com just Avatar for mmmmmm from gravatar.com mmmmmm

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache License 2.0
  • Author: Adrien Tétar
  • Requires: Python >=3.5

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for anthrotype from gravatar.com anthrotype Avatar for just from gravatar.com just Avatar for mmmmmm from gravatar.com mmmmmm

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache License 2.0
  • Author: Adrien Tétar
  • Requires: Python >=3.5

Release history Release notifications | RSS feed

0.42.0

0.41.1

0.41.0

0.40.1

0.40.0

0.39.5

0.39.5b1 pre-release

0.39.3

0.39.1

0.39.0

0.38.0

0.37.3

0.37.2

0.37.1.post1

0.37.1

0.37.0

0.36.0

0.35.0

0.34.0

0.33.0

0.32.0

0.31.0

This version

0.30.0

0.29.0

0.28.0

0.27.1b1 pre-release

0.27.0

0.26.0

0.25.0

0.24.1

0.24.0

0.23.0

0.22.0

0.21.0

0.20.0

0.19.0

0.18.0

0.17.1

0.17.0

0.16.1

0.16.0

0.15.0

0.14.1a2 pre-release

0.14.1a1 pre-release

0.14.0

0.13.2

0.13.1

0.13.0

0.12.0

0.11.0

0.10.0

0.9.1

0.9.0

0.8.0

0.7.0

0.6.0

0.5.1.post2

0.5.1.post1

0.5.1

0.5.0

0.4.0

0.3.1

0.3.0

0.2.2

0.2.1

0.2.0

0.1.3

0.1.2

0.1.1a2 pre-release

0.1.1a1 pre-release

0.1.0.dev0 pre-release

Download files

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

Source Distribution

uharfbuzz-0.30.0.zip (1.3 MB view details)

Uploaded Source

Built Distributions

uharfbuzz-0.30.0-pp39-pypy39_pp73-win_amd64.whl (439.5 kB view details)

Uploaded PyPy Windows x86-64

uharfbuzz-0.30.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (645.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

uharfbuzz-0.30.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (589.4 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

uharfbuzz-0.30.0-pp38-pypy38_pp73-win_amd64.whl (440.0 kB view details)

Uploaded PyPy Windows x86-64

uharfbuzz-0.30.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (653.0 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

uharfbuzz-0.30.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (589.6 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

uharfbuzz-0.30.0-pp37-pypy37_pp73-win_amd64.whl (440.0 kB view details)

Uploaded PyPy Windows x86-64

uharfbuzz-0.30.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (662.0 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

uharfbuzz-0.30.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (589.6 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

uharfbuzz-0.30.0-cp310-cp310-win_amd64.whl (448.3 kB view details)

Uploaded CPython 3.10 Windows x86-64

uharfbuzz-0.30.0-cp310-cp310-win32.whl (379.5 kB view details)

Uploaded CPython 3.10 Windows x86

uharfbuzz-0.30.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

uharfbuzz-0.30.0-cp310-cp310-macosx_11_0_arm64.whl (635.3 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

uharfbuzz-0.30.0-cp310-cp310-macosx_10_9_x86_64.whl (689.7 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

uharfbuzz-0.30.0-cp310-cp310-macosx_10_9_universal2.whl (1.3 MB view details)

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

uharfbuzz-0.30.0-cp39-cp39-win_amd64.whl (451.4 kB view details)

Uploaded CPython 3.9 Windows x86-64

uharfbuzz-0.30.0-cp39-cp39-win32.whl (382.4 kB view details)

Uploaded CPython 3.9 Windows x86

uharfbuzz-0.30.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

uharfbuzz-0.30.0-cp39-cp39-macosx_11_0_arm64.whl (638.2 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

uharfbuzz-0.30.0-cp39-cp39-macosx_10_9_x86_64.whl (693.4 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

uharfbuzz-0.30.0-cp39-cp39-macosx_10_9_universal2.whl (1.3 MB view details)

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

uharfbuzz-0.30.0-cp38-cp38-win_amd64.whl (451.4 kB view details)

Uploaded CPython 3.8 Windows x86-64

uharfbuzz-0.30.0-cp38-cp38-win32.whl (382.3 kB view details)

Uploaded CPython 3.8 Windows x86

uharfbuzz-0.30.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

uharfbuzz-0.30.0-cp38-cp38-macosx_11_0_arm64.whl (634.3 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

uharfbuzz-0.30.0-cp38-cp38-macosx_10_9_x86_64.whl (689.0 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

uharfbuzz-0.30.0-cp38-cp38-macosx_10_9_universal2.whl (1.3 MB view details)

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

uharfbuzz-0.30.0-cp37-cp37m-win_amd64.whl (449.4 kB view details)

Uploaded CPython 3.7m Windows x86-64

uharfbuzz-0.30.0-cp37-cp37m-win32.whl (381.1 kB view details)

Uploaded CPython 3.7m Windows x86

uharfbuzz-0.30.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.9 MB view details)

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

uharfbuzz-0.30.0-cp37-cp37m-macosx_10_9_x86_64.whl (687.5 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

uharfbuzz-0.30.0-cp36-cp36m-win_amd64.whl (527.1 kB view details)

Uploaded CPython 3.6m Windows x86-64

uharfbuzz-0.30.0-cp36-cp36m-win32.whl (438.5 kB view details)

Uploaded CPython 3.6m Windows x86

uharfbuzz-0.30.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.0 MB view details)

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

uharfbuzz-0.30.0-cp36-cp36m-macosx_10_9_x86_64.whl (687.6 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file uharfbuzz-0.30.0.zip.

File metadata

  • Download URL: uharfbuzz-0.30.0.zip
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for uharfbuzz-0.30.0.zip
Algorithm Hash digest
SHA256 a2e28cced389d8ddc235234d78e8a0535e2a0b6d452dab5dbc20843b6ef08219
MD5 e1a9386f6e68818d4096cc23c3a25ee8
BLAKE2b-256 c2fc1b3311f2baed1a21b57cd8a654a750fd3c34930f0d367229b7d256b57f1f

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 4e83ce9526c9dd54a512426178f4420f64daa53bb6396abd3eab02198987a70f
MD5 53559bc565618c4702ad5846e2e63908
BLAKE2b-256 9aeda48a8ef8c0d2c9a7b4e87fce0e754f615c9d178248bfd41fb0b305bcb2c1

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e7fe830f42abb023a5c66a4ec88af98ec598cb6ef59bd601e11ab2b69fc2e9da
MD5 1941dc7ec8a3280e15227de44ce59414
BLAKE2b-256 43f0258e0f47f1c7a81acb4c0e21e669317df47e213b7acc6a9fa347b5edde3a

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2922c87df3c96cad2a44219a1d5ef4806f3d809a5e306f5297b64b9e1f66782b
MD5 9770a8b10e73b582fddb7d7c328cd059
BLAKE2b-256 cb155263ad7464d2f39e9dd961a0945000dc95cbc23de0fb490f2c8f9a06a91e

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 79e93e613228b007a99f48dfa0aa7e11d2ebd194433bdcf098176eda374935aa
MD5 18fe9efb2b3397d7e31935a8b3080599
BLAKE2b-256 035f65ba31d37c0dc9d37980673c4e8e55bd60410bbb50f67f59d8e081c6c4cd

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 624995f9e03c7636248777d0bb1894cac332391905376525071d1a39f323b11f
MD5 f4afe669e1a097266ce55ae4c87feb92
BLAKE2b-256 7c1c8e2859bfa2eeebf9981084ed0396eebf0421b7ea6a6d4f7bf9495aa68150

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 cdc2a7d760295ec59c77363690aa6a3c1d7b1f16a3b6f62f5735f82edbf5a5cd
MD5 ceedf1a82b093fdb808d22d51a221bbb
BLAKE2b-256 50609006447cb39cb4bb02b79070d002b7a00d69695c0616564941a778b91978

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 1222c91900c93fc646bcece947599fdcd2716199305d25e129cf23cb8c28ce2f
MD5 708ec2d2cbea17722ad423ba080fdddf
BLAKE2b-256 0a2f0ee0003955731f0a4a60e7d67f8b73e6bd6888cc220ff5c2d7e7e7137d0f

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0a6297b233aa124a20b885b72f28e493a130a076fc6d0665a940f6f209fccda9
MD5 81d3bf1f4609ed0e630a3b6913236ed7
BLAKE2b-256 02e512fe5fb528ec450dadca669ecaa6e32699d3cfc391a4439cbdb0601f5038

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ad6fecdb9a2eef6bc7666e7f300e18f7f577868a6becef1dd82b0f15cfbdc96b
MD5 f4a95d11b24c8977ff841db3dda558fd
BLAKE2b-256 3a5071f3871cebe9588966086cf79bbe4cddc2968fb88acca51e0f0dec0e5d06

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 482932f1a6087a64b6fee3d3c326aa3d2cd5f7de1ae5dace19773d8d0c81ce1b
MD5 fbcd6af6b83ab1821c3d703a7c04835f
BLAKE2b-256 657b5ef57706a72edcdead08073ba791176ee877364063cae29991db0e49fa80

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.30.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 379.5 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for uharfbuzz-0.30.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 a7b710911445ae33729ef53f59b120953a895126c2bcd76b1afb934c86b8706b
MD5 89c1431b0c9845bbb2b684d4080787eb
BLAKE2b-256 a041123ceb6d099a02e5e4ec7cf634ac1d58f51883c2c2f97ff02016f5bf7b11

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3ec7a317bc554a140da8c556eaa6f5c31acc777158838e33161ef8c1f29e8fc2
MD5 8cf974ec82fe2d0b2b71caeed764c661
BLAKE2b-256 c7a3a376ad7216eae4145bc41d03754d6bca017f06f19fffece00dd24f3aa3ba

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 87c087532167d8626c73fde97215e0a8af56aeb80b1f3030fd4e9f5fc0d13ebd
MD5 d7bea3f4541576bfea4374cd31465407
BLAKE2b-256 1f9c4a2f234ef8c95925d665f418f9bb83cda3e291f13960b01099b88a05c565

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5ff3bd8d225f063a59f68e051f8c46d5f7b909fe24e6851d0b925772a2c6d255
MD5 01a0e1a76e0b9f506001803317d04b82
BLAKE2b-256 03bbaa273c87f4d37e96c6786a5fe0cea639bf44b7e15ad24ef3be72403a8f14

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 2f985934ecb80f0caaf778086d32a01a218c0054713bffea6bdcf6e19484f81c
MD5 5e28d26a05fbd4208890c93069fbba6f
BLAKE2b-256 58da21fcffedcfd9cf03c29ed4dcaaa331f6d0d517ae2b2a8724050b95780381

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: uharfbuzz-0.30.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 451.4 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for uharfbuzz-0.30.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 e684893741c8e62739296019c6802655b3b19bb70aa078b9f085b353f1efc8be
MD5 eb6113abd3841da30b00f6961c58c944
BLAKE2b-256 2e53b934d2ee5f7e50e1f27ea7f7081dfd8629a4abe6e7bd9c7de166d187120a

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.30.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 382.4 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for uharfbuzz-0.30.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 581b40289fae30ebd4678e4bb0af76f42d4f5c41a6a3e7fd0b92a1207607e24a
MD5 d57e5e313b459effefd31d1a84d87f24
BLAKE2b-256 612109e293bd7296d34448649189de634406ef476b9cc242c03de76985424b0e

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3ae6cab7b629c43ded7c63f075d0306c2e996274cd8ad1e3f18306aba56fefed
MD5 b81013b14aefc4c17347d4438ccb9a04
BLAKE2b-256 7b977811e2e98638a91d2a80784ad90306d6dd1c5a81e67f14d99949b584dac5

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3ad2ff5d697aead7e11215499be505dc87d542bd1fa561dabe7a89172e8968c7
MD5 4006570101159b37d38aa44cf70eadbc
BLAKE2b-256 14cfc89ff43d03d192f5765f22315b8dcbc0adcc8cd3e2a4536aa07864cfdbbc

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 864f834c397f29506dcd57083d319e93cf0ad5136d5f28ada3d0b87299c884b9
MD5 c25530cf96eb8ae8d00073a3c12d5767
BLAKE2b-256 763bc2ea04a8209427813d0544bbd6b9fa3dd5eb522fae8a8006c2f7c64c22ab

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 4239de7fefe43122df1bdc139c1b5e3e39253ac5ef0996926ea7a3457768f3c2
MD5 1dff37bb69b2c89682508ae5b114224b
BLAKE2b-256 db2b6c02ba35da266d4e251183c4e2e53f4564efecd2ef5c3f324ff48342358e

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: uharfbuzz-0.30.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 451.4 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for uharfbuzz-0.30.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 0c8e37789140c201ef746b23764893c6aa9a4a74069abc89f13fa2b6cb3e8ddb
MD5 a443be95c5002d87f9c4d3ec71a3cd9d
BLAKE2b-256 9491186afc88182745e685ea753cc97be3a636f97311219ae641a08001ee6af0

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.30.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 382.3 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for uharfbuzz-0.30.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 892755460b77d05f0609e4754e21ba3488f99d3d8fc44f9ecaca6a0fa4ca45f0
MD5 dec9106d57b9fd7b1754bfad16795f1c
BLAKE2b-256 185e5f3285c5dd67b568b729335aed676da6e72670a944c256ac725bb98bc805

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5ee2ef707b2564ebda49ddf486592927bcff8b5a9a2d872dd4e91d4fd06f6c08
MD5 4384341a3580b1355a4ca29d743004de
BLAKE2b-256 14c9591111da53d51cadc6d0bd92e345eb8d5795f1399f77cc74dd8757a115bd

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f35f985c170a257a24803d02ece18da013a55e3415170d0bbc23bf0d942d68d3
MD5 c48268e0274dcca2c22808d154c5e8a1
BLAKE2b-256 1117da3d65d83d008b225866489dee77296f33e4af03ca0fd785d7f32ef19753

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f1e4a1ec1ba4f1854296178dcb22a1a32d1da1e0b246976a6694e407111b3f8c
MD5 53b282c3929c32bd6272aaea6276f48d
BLAKE2b-256 400c27148d32c1ba29de783a28a76fd4e35ebc97548483d1c33858e5073e159c

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 8b0998375651c693fce0c3a2cfbf6ecfd45b15e9849d30ba540702518e13c563
MD5 e4877c7e84eca328fc87c6a38715c451
BLAKE2b-256 b53aa8fb72288d80f0579df1556d2f591d86339010d0a0728ad26d42e2498371

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ffcec4847e9fd65dbc635dda0675c483d5427d01210f3e865cfa2eb1fef3150e
MD5 a74b94f51ba773a80823e94876e9188c
BLAKE2b-256 2b6f63dfb5498b242b5da0abcf09edcee28619c04b7c7709c14256269d653546

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.30.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 381.1 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for uharfbuzz-0.30.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 84c1be3cf0abc9417cbb8b09935014d9d1f4abb2dbcd284084b7a7dd447a804b
MD5 c771061e14f1b89a2b1f5e2ac1ab3216
BLAKE2b-256 46efac80d78aea6aa8ddffec53e12b68fe56c771b35cca31c5d93a977427df8d

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 974bbee476c11d53ba78467d939d73fdeb733a36d5be54773809d7633e8cc86f
MD5 e272f0e3de99f17e50c23a0ddd80a2ff
BLAKE2b-256 f2abca6fea7c1f56341799a04d011b4178723e7d6e15ef00979600ce399fcccf

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0de2280e69fb56516456abb20aa78039e88526e56044fa563602d4480137f443
MD5 8feeaa858c1c3ff7c93a0044661f276c
BLAKE2b-256 4084515bff73d46ef8b672007e31695ac5a97a7258171b48822a6e7bb0f655cc

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 b735b0502cc4073abe1ce4c05ff0a2caee716f7f2c0deec11328c3fea53ac9f1
MD5 879ce52d771e4e11a58bafc864df1951
BLAKE2b-256 ee3442c03d3d8c19deeac7195f7eaf6430ab119fdee27392b167a7863e0d37ff

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp36-cp36m-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.30.0-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 438.5 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for uharfbuzz-0.30.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 d617e655f7f47f57582be7e689d8f6e9c08b5cca35384a40b1e9ee589279d372
MD5 55768e6aadeab0a71b35e2b56cf4bdfa
BLAKE2b-256 f72c819e96d2e5f9a5f3d050499afa8e1ee535cb651a1c91733d44d97e098a65

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 400aba7a3dd94ee97abd8c75c49e7b4de6b7430a55782f447ede350cd180b157
MD5 a0fac34de3b9edfcf9c37cade6afe8ef
BLAKE2b-256 ad19bc26e28293a9139c3690a35ce7c836592a8e378d4596f91b1f86dedf4773

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.30.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.30.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4f59da7e48d3adba6a9cd22ee03aedcab89a1500f35b4ba630a9ab1427422ef8
MD5 71cd7b3045dc840359ea2f6fc13b93f3
BLAKE2b-256 c92246f21b31a94160cc2a9954c79afe3d54f1455d13932a54fa72dfb76fa202

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