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
    glyph_name = font.glyph_to_string(gid)
    cluster = info.cluster
    x_advance = pos.x_advance
    x_offset = pos.x_offset
    y_offset = pos.y_offset
    print(f"{glyph_name} gid{gid}={cluster}@{x_advance},{y_offset}+{x_advance}")

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-0.39.3.zip (1.9 MB view details)

Uploaded Source

Built Distributions

uharfbuzz-0.39.3-pp310-pypy310_pp73-win_amd64.whl (1.2 MB view details)

Uploaded PyPy Windows x86-64

uharfbuzz-0.39.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

uharfbuzz-0.39.3-pp310-pypy310_pp73-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded PyPy macOS 11.0+ ARM64

uharfbuzz-0.39.3-pp310-pypy310_pp73-macosx_10_15_x86_64.whl (1.3 MB view details)

Uploaded PyPy macOS 10.15+ x86-64

uharfbuzz-0.39.3-pp39-pypy39_pp73-win_amd64.whl (1.2 MB view details)

Uploaded PyPy Windows x86-64

uharfbuzz-0.39.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

uharfbuzz-0.39.3-pp39-pypy39_pp73-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded PyPy macOS 11.0+ ARM64

uharfbuzz-0.39.3-pp39-pypy39_pp73-macosx_10_15_x86_64.whl (1.3 MB view details)

Uploaded PyPy macOS 10.15+ x86-64

uharfbuzz-0.39.3-pp38-pypy38_pp73-win_amd64.whl (1.2 MB view details)

Uploaded PyPy Windows x86-64

uharfbuzz-0.39.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

uharfbuzz-0.39.3-pp38-pypy38_pp73-macosx_11_0_arm64.whl (1.2 MB view details)

Uploaded PyPy macOS 11.0+ ARM64

uharfbuzz-0.39.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded PyPy macOS 10.9+ x86-64

uharfbuzz-0.39.3-pp37-pypy37_pp73-win_amd64.whl (1.2 MB view details)

Uploaded PyPy Windows x86-64

uharfbuzz-0.39.3-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

uharfbuzz-0.39.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded PyPy macOS 10.9+ x86-64

uharfbuzz-0.39.3-cp312-cp312-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.12 Windows x86-64

uharfbuzz-0.39.3-cp312-cp312-win32.whl (945.5 kB view details)

Uploaded CPython 3.12 Windows x86

uharfbuzz-0.39.3-cp312-cp312-musllinux_1_2_x86_64.whl (16.0 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.2+ x86-64

uharfbuzz-0.39.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

uharfbuzz-0.39.3-cp312-cp312-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

uharfbuzz-0.39.3-cp312-cp312-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

uharfbuzz-0.39.3-cp312-cp312-macosx_10_9_universal2.whl (2.8 MB view details)

Uploaded CPython 3.12 macOS 10.9+ universal2 (ARM64, x86-64)

uharfbuzz-0.39.3-cp311-cp311-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.11 Windows x86-64

uharfbuzz-0.39.3-cp311-cp311-win32.whl (945.7 kB view details)

Uploaded CPython 3.11 Windows x86

uharfbuzz-0.39.3-cp311-cp311-musllinux_1_2_x86_64.whl (15.1 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.2+ x86-64

uharfbuzz-0.39.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

uharfbuzz-0.39.3-cp311-cp311-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

uharfbuzz-0.39.3-cp311-cp311-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

uharfbuzz-0.39.3-cp311-cp311-macosx_10_9_universal2.whl (2.8 MB view details)

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

uharfbuzz-0.39.3-cp310-cp310-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.10 Windows x86-64

uharfbuzz-0.39.3-cp310-cp310-win32.whl (944.3 kB view details)

Uploaded CPython 3.10 Windows x86

uharfbuzz-0.39.3-cp310-cp310-musllinux_1_2_x86_64.whl (15.0 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

uharfbuzz-0.39.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

uharfbuzz-0.39.3-cp310-cp310-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

uharfbuzz-0.39.3-cp310-cp310-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

uharfbuzz-0.39.3-cp310-cp310-macosx_10_9_universal2.whl (2.8 MB view details)

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

uharfbuzz-0.39.3-cp39-cp39-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.9 Windows x86-64

uharfbuzz-0.39.3-cp39-cp39-win32.whl (944.3 kB view details)

Uploaded CPython 3.9 Windows x86

uharfbuzz-0.39.3-cp39-cp39-musllinux_1_2_x86_64.whl (15.0 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

uharfbuzz-0.39.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

uharfbuzz-0.39.3-cp39-cp39-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

uharfbuzz-0.39.3-cp39-cp39-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

uharfbuzz-0.39.3-cp39-cp39-macosx_10_9_universal2.whl (2.8 MB view details)

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

uharfbuzz-0.39.3-cp38-cp38-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.8 Windows x86-64

uharfbuzz-0.39.3-cp38-cp38-win32.whl (946.8 kB view details)

Uploaded CPython 3.8 Windows x86

uharfbuzz-0.39.3-cp38-cp38-musllinux_1_2_x86_64.whl (15.0 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.2+ x86-64

uharfbuzz-0.39.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

uharfbuzz-0.39.3-cp38-cp38-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

uharfbuzz-0.39.3-cp38-cp38-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

uharfbuzz-0.39.3-cp38-cp38-macosx_10_9_universal2.whl (2.8 MB view details)

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

uharfbuzz-0.39.3-cp37-cp37m-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.7m Windows x86-64

uharfbuzz-0.39.3-cp37-cp37m-win32.whl (939.8 kB view details)

Uploaded CPython 3.7m Windows x86

uharfbuzz-0.39.3-cp37-cp37m-musllinux_1_2_x86_64.whl (14.9 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.2+ x86-64

uharfbuzz-0.39.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

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

uharfbuzz-0.39.3-cp37-cp37m-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

uharfbuzz-0.39.3-cp36-cp36m-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.6m Windows x86-64

uharfbuzz-0.39.3-cp36-cp36m-win32.whl (1.0 MB view details)

Uploaded CPython 3.6m Windows x86

uharfbuzz-0.39.3-cp36-cp36m-musllinux_1_2_x86_64.whl (14.9 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.2+ x86-64

uharfbuzz-0.39.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

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

uharfbuzz-0.39.3-cp36-cp36m-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file uharfbuzz-0.39.3.zip.

File metadata

  • Download URL: uharfbuzz-0.39.3.zip
  • Upload date:
  • Size: 1.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for uharfbuzz-0.39.3.zip
Algorithm Hash digest
SHA256 1102d9fd371cdea6a859be380a3cc554237f4cf2933bc09e98aceaeae8a42229
MD5 7e780411630aa60a47e83928ed58f16c
BLAKE2b-256 deb0a1ea87822722bb70d13a26c1ee92bfcc4c1a14fc21ada40508af09fd564f

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 7e4535327c8eb60e4e6096a85078357775f3849b020e4527cf46b825277cdd94
MD5 35b5ca7d67a95e29f8aa95d92673c88b
BLAKE2b-256 5e3fa506e0258e500176a878ec945a93ff9f63b65304840b59439ea88be26a70

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e9db098b1f84fd8f4754d8820a8bcef47de7fbd11f09aa7d092da05ded9abdcd
MD5 40c5d051db7fc8080b01380869aafcfd
BLAKE2b-256 96a161539479c69585d0d2861f7e0278cddecc7218ded4e17d20385f6d1b973c

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp310-pypy310_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp310-pypy310_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 317058b8f56e4968af3aa120ff3c2a28c55067371cfabc9f1b4122eec786ce64
MD5 c4052f15f4edcc002313198758509999
BLAKE2b-256 967d6079499439daada2c1b5740bdc7cf68f2b999b1369331db1870791806f34

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp310-pypy310_pp73-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp310-pypy310_pp73-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 bb66607da18be3cc78f9d3b109dab196f51adc030a60d9438f8a05fa9f97a072
MD5 a0d0ae4cb75866e8fd9e866238ca70bf
BLAKE2b-256 490450d0516b7aaf43099e7e182120ca59336997238b79e767b86eb169d2d23d

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 ef6985cb3093b5e15f138591f46ed722522c8f4ab17f23a08ca0154a1702c271
MD5 4658df452e98db741f9358d55f1bcd2d
BLAKE2b-256 91f29995deca1a0d972f529519682126f987983118aadbe73bb41e9e69acaacc

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 16ea9f6a4bef75929b9eb1a79905d95c228eb657308aadae5cb384ef82083e9e
MD5 fa43b79cbd3ef43b45aaca84dc53507c
BLAKE2b-256 07812322200b0d36d9f65f56d2d2d918ce8afe061ed90220480659b71dffa947

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5311aee0896e5681028ce7a3029bf119ddef9f200ff157d210263e180e10fd77
MD5 5f094c4c85889ec40b237894e85fc4f6
BLAKE2b-256 fc05570af00566953e2db94319dc2c947e008ea5740720ffc03305d0a11e2660

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp39-pypy39_pp73-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp39-pypy39_pp73-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 933ec418c6b22a5a08f925fa5b36b578807d54bfa040697ea134dc59be06b2fa
MD5 4dafb86abfa137ce701db8feaefadaad
BLAKE2b-256 fcf01ae2ee4792fcb7dfcf78c0547ebddfb09276d20f33677a78bdfc8f2d3406

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 cb6e9b4605263000d0413f29746774194340b0fcee03f3124dc6758b00ff57a2
MD5 983e93712494441c7d7e5dce02884e79
BLAKE2b-256 ea80165390c82aa2030768f9adf1b870809e0eabfda2b46f5c3e6146168fdc90

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 035d98702aceb45a81b8d3cc1b78c4c76f61ae5cb20482d74fc6ee029b9add33
MD5 360688723f37e4ab6f7686d0fcd2e281
BLAKE2b-256 27385ba7002edf7b5d758bd6b5fa20947b31de70b07c076df42e277dca870429

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp38-pypy38_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp38-pypy38_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ef6118e4bbd246dd891e4ba7d03e4f0c06b39d6c3253ba0dbaccc7ef4bf1aa78
MD5 d2150b0ae0e964184848f6a8ab6cef6f
BLAKE2b-256 1e33b820d6c48d17fabfc0216cb42801f88c4d09415080c3f5bedbdac3addb6e

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f6a675b468500ecf957bd51695812fa4216eee26604e487ceefcf28696ae62ee
MD5 ef82824e6e1c5d7903c98808fedee8e4
BLAKE2b-256 c9b31d0358df9fd5a4783efb6f046c28e99fa3a4b874a1c92c125347ce6dd92f

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 6f88a05abe5a7d85a92e1ed2b515d030452cb75c51cd8abfcfb3147bc2b09296
MD5 f71aafb65db8fe88836357ee573e06dc
BLAKE2b-256 2585050b9848220f48d9052378fc5d30792c1b774eadc5e613dca1000ebb5060

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6795a290d54f554d55d3f0056bc7f192fdff9fa9fb4446baa49734ab6b4e4a6e
MD5 fd032e7cf7b4f3931e66a3e44a626e34
BLAKE2b-256 80242adf660f0d4be81175098525d528beefb5689f5a3ddcc04b79b9f0fabea5

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c57ac0e5a6aca000e502191f379e9ea8d92e4b2b58e1931ae9ead7bd85839b8e
MD5 f0df094dbe7d32c584b9df139270a994
BLAKE2b-256 32800ff6fc54a010f6d692b6937c24da3b4020370614606c7bf66754fca1d4b3

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 e5e638d23d196b7043e1832af9f32412e45c5233a6e8296e1d1941dc70b5614d
MD5 49dc895371296fa6d32881360369510d
BLAKE2b-256 52363e7fab375dbf547913c0ff3f6b99c7d5b69e052d9a559041f7231015078c

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp312-cp312-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.39.3-cp312-cp312-win32.whl
  • Upload date:
  • Size: 945.5 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for uharfbuzz-0.39.3-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 693f848623c27457a18c371be581e125ba78e35cf8dc5ade30f8595aa3bd2ca9
MD5 861049059d7dc96a3b0834d44d35d12d
BLAKE2b-256 d722777263d140b0e5566f3397af93a613a0776abd1bf2245c7dc5e24ec06daf

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 99643ab1337962e98f04b3bdf1cd4afdfcb3a0f2d498853d10161aea04574fe8
MD5 496735d5f58e2501d356bce52de56287
BLAKE2b-256 79251472bfa3019c96a97c287ba43f8df29258411ed6aed643ebdb56bcedf34c

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 703425670bc89333ed23f635345d766b66d927b89a68597cfac1ebdc47542177
MD5 60e4a3c12c3e61e6a5fbb8dc8dad9c3d
BLAKE2b-256 c5cb7d8d8a2c7a44b03593b79c960929fb129e65477f10c931b2eb88eded4827

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9686f8d552cc3a8fe12b30e3a2add90645ec67a95fb3117cc7b1a85c0eec332b
MD5 da807d65fef22667fc9ebb7a2eaefcb5
BLAKE2b-256 62ca91c989edecc13cadb43867b88ef9ee182b5e7e19e264046662c53ca236ab

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5143939d5079e4c7af212da9d9f30e84ebda040628acb284851e3dfecd695842
MD5 94009a1fbd9ca7d59f988187af918e45
BLAKE2b-256 b5bddf5d5e25b87cd39191540cefc23ab29caec9506d1bef36cd10dfe3169c8d

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp312-cp312-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp312-cp312-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 37fbf2cf9931e00729e058b7a95edc470bb891e19e72491c8c9f04a6b1a57470
MD5 f246c6dd9f15df31ae8fedc26e2830c8
BLAKE2b-256 a4435fe2ea073fe2d5aa6bd3663968a7e2679fdae2c99fd9a472bcfe182e2670

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 f025cb66ffa0015ce27c67caaa859f34d5f674661ff3c5bb34e77d3bdfe03540
MD5 250ba1b9e1ba733c0eebb6bd8c568fd8
BLAKE2b-256 53b55e2d9c759dcd1b55a2b17f4a12b31804be7f8459fa23cf84fb418faf5577

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp311-cp311-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.39.3-cp311-cp311-win32.whl
  • Upload date:
  • Size: 945.7 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for uharfbuzz-0.39.3-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 3e3176951cbdc5b8336ea873f77190efda11791f2fcbebb779f9ff57aad799d0
MD5 9dc04c0c6455d4ee97a5168de5de4b67
BLAKE2b-256 c2fe3cbf5d39377bd47506056f1c073696f98deec6e7d9236865ed8975228de1

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 83998f498e8223e97910044211268edf6fe8ede88afa3f9caaeca536cb986c7d
MD5 c3e07cb7e9aea213c96a84970dd32c4b
BLAKE2b-256 f751bc15467a72def174d813eb5fddada918ee4085b75b4de19f3d935b94331d

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 633de16bce32d898baaf63ee8c69fff4f7b29abb985848a416417dcaf10e9b41
MD5 e9a2f6afdc2dc8639ad0dcab8da7e8fe
BLAKE2b-256 735ece45bd9a6c34e57c5e44d8bd82dbdd9152223f9671ce459cc16504d6ad16

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b563e04e50f55dac0e11518d1a6c2e925c345dd33ca40a616cc989845e39592c
MD5 7eaf007c37f2ddcd5c1f2369d3ce8e7e
BLAKE2b-256 afce1d69376a537623d355442e946ae4eff7bd9ed32ed0e07863added6d06697

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9c4b1243a2377e47af7dfb38260f2bec04239698848eebfb05ee7a4cb495fb41
MD5 e143912c8a064fc0f58a53d9c132b860
BLAKE2b-256 77c81e86e5c57bfc1fc704fc8686ba076e293714312c97d894e9a0bd90571336

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 a946bf1236be5f926591ddb3926cf0e3a4d6ddbebc170f4beb34dbb66e407daf
MD5 0a1ba95fea1917a6d456ae730f99534a
BLAKE2b-256 bdc77021b1de7368b8e9e69a6b7e2d0cc44daa0676c3ba9dc38e47e2d7374f5c

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 5b06446bbb68f9544909e158006e9c5e2fec190b5997d99af69a20e11f30d4f5
MD5 9a9206ac7698d847d00140dcfad7e44a
BLAKE2b-256 cf85467b310d6170d79f33825372143d041182ad00a6f5a9774af0a1077d262d

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp310-cp310-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.39.3-cp310-cp310-win32.whl
  • Upload date:
  • Size: 944.3 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for uharfbuzz-0.39.3-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 995cc27cf42df10736598c8d8ff45d0db68587ab914506edc621beb315c6bcfd
MD5 dd2d486e385681131baf460370482366
BLAKE2b-256 3c02b963ed13d25f65d29277c6d35f3aa8c7a5645d3f7cfc07e37073d7ee6240

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 1399ba6dcf2feb40ad7329aa593c394d9f8d2d30d279d4c92f1285fcf43a24e0
MD5 b10de12a50aa5e11419b54933f3eb14d
BLAKE2b-256 5d5d33ca286f01af0bf87757515c942a34807235940ba6a27ea75a586b603f9b

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ffa58e92d61aa6c4d9f4e7e721972871010c0d588f5972379d82fd229539cd37
MD5 351e4ddf5f47f052e8228e8d8632a475
BLAKE2b-256 3b5caeaada0d646aa98eb3bf8c8511351415c587df71892230b0230270c06e37

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2780c9e5cbd6d107267b009e18d6b91e6d07bf76fc8a3f73e675015d433437be
MD5 7567645a6eb9f4128187c6b2a9b382e1
BLAKE2b-256 6a114c765a9314301ce503330a00172c40aab590614b07afcbe713729bf133bb

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a1c2c12f075d48400368fd796d1d4100ca61e058d2ae94aabe4a0e46dcfa6869
MD5 7fb718907c04127313e6e6f6c015d57d
BLAKE2b-256 e9d32655164bfb39e36398a20d8ee705fffe8e5d3c0625b0b9ec6fd5cf04ba6f

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 fae46d9e28bce28307cfac33aac1d90de379124f0cff4d7b71a96a86c9f00ce3
MD5 00fd2efea2b3dfcca07b33a37f6a1f02
BLAKE2b-256 6d7eedb3f277318c2bda545f14d554fdcf2d0c3aed01480eb3a10d36e1c66fe3

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 f679cc88564d426de91e8ad6c5f669768a0bf400c2d49a3905711565fa7c9c77
MD5 a7a3a142beaca1c1d1dd0341db9e5b8b
BLAKE2b-256 303eb8a85d1e0ecea877afe73b339d5fd493d852b4f325c33084c8e8a4758ee7

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp39-cp39-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.39.3-cp39-cp39-win32.whl
  • Upload date:
  • Size: 944.3 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for uharfbuzz-0.39.3-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 cc050e981e490186b097faa0a0161c5620f2454ac1dca145559d38f9e2445f69
MD5 c7e3a663386c8efc7df0c3af75e6504f
BLAKE2b-256 7b5f2c4ac45a22bec831959e3c29556fa215d0d386867eea41ec5e8eb84bb544

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 7fccfe68be371aac154cce3f7dac580776b221938b77ecb7d007913b899a1963
MD5 cebc8eb534eebcf6602a0077fd1f2b02
BLAKE2b-256 d32986e2b9b0b5fa585ddb6ea3a2852a4eef3c725e53eebb74f7843d34f6eb7f

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6dd4f8dd57bb9b7a65378b2ebc4b1a654b4129325936db86f126119193865644
MD5 4d50a15a7b962ce0e1aa47d54822a1b4
BLAKE2b-256 6468ff453d8b33ff73c8df1ca2ef13e177e5d0a349d431270de5bfacf3220394

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2e3af4e575d2b08c0cdde6ab3d3e6104cf2912a287bdfd49385b537b342778bd
MD5 7a5d3b15bec0b39533d0db0bc0d8334d
BLAKE2b-256 922b9f2330f95f140226ad557b5964d48daa96cbb0d793fcad237efc401fa2c0

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2098386a59350145d252ecc7190335234c246fdabfb8b7f30ff0fd142e69f4af
MD5 5163bdcf216ee38cc0b223b14c1c2ee6
BLAKE2b-256 c1d5c843f280c563bf726adbb9cd4d16c5ac4283f6f92a1d2fcf018d91945452

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 d38b95063086a44ea06e9757eff2303f5b1ab1309d1073732b78e7a6ba385fc4
MD5 b2e8f6f6dbf47112689faf6a7a7cd024
BLAKE2b-256 ed3136c65d1e3117e2a6a7df4b1a07166f97c40b70d2475a7bc22865a370c486

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 ae166ebb5c10632eac08c94c19640940ae7f91052d810352c05b605fca61dd52
MD5 ee1e26ee00e098eb2b8df99e148a52f9
BLAKE2b-256 aa36c3c28aac37a75f44ba6c79d0305e92579306ac24afd05cc44e2aae8cb7fd

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp38-cp38-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.39.3-cp38-cp38-win32.whl
  • Upload date:
  • Size: 946.8 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for uharfbuzz-0.39.3-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 a79a93667ba9fb15a98a99798e762097e75ee5c00c7524f8862e4c8557ec2ce1
MD5 efd9b84157455d053dfdfc4de49d6295
BLAKE2b-256 5dc681101eeb6362497f7697c9226e6f8405e732c661d6ff62307af15443efbd

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 0321fd073d7d03a884975ef6f435b37fa560f961d3707b1a14bc36d2ddb2be01
MD5 7d034c3293d518d67d3ddaa42b582851
BLAKE2b-256 29cc0403a9378bd0fd68a85a105e80a4a9762b901e1463b53cd388d0cbc5586f

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2336445fb03f74a56cd4c4cc3d187f0ab274b6ff723dc93c4247bdacbae20b5e
MD5 ddde5881e82d1cf90c2667f71f2a9b7d
BLAKE2b-256 b1bf9357df2cfcee2c2ea24684023a76b3253c6f0f5dcfce7e9fdc6cc66878fa

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 777f87214b8bc5ef7eab75ee480a120fb31e610a03c3d08b60073af795ecfef9
MD5 631b2aec9d32c8d064f63b91a64648c0
BLAKE2b-256 f56b5151313c4f9381184e51f9578d84a7cf6b9a51b262162465c531e4f9224d

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1f74457f32cd53f82d619df4412861760d41178b87e5fc1586ce8d608829b4fb
MD5 6194085401c08ac98e5a2d19f89550f7
BLAKE2b-256 d83831548bf07d101024f9ed9afa96615bbb00d74d8cbee05d6717e2775b1dd8

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 71696224fdd97434577e60ff413e43b38f034ab85ea198db67dc986661be2428
MD5 21b12826365d526ff13a9b8ff800327f
BLAKE2b-256 0a57809803f6b1d926ec2e7e3f1491a1ef136115cdb339c48c40cfc4cf0f6012

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 97ba2a1c41959376cdb500e66e72dc329f08d850778deb9de5d77deae8ee7f45
MD5 dc44f9b879ff793d5f805c9ac1b00d28
BLAKE2b-256 96c3b4bd7ddd5f5fd6357c1c0f3afb3bb089fa7b838b7ee92f536f1a71d2cb71

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp37-cp37m-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.39.3-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 939.8 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for uharfbuzz-0.39.3-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 533e6176c7690fcc4b86b0bfe44ba1d60a421a9dd89e91825d6a980964164112
MD5 33272c41f1de346223c385c29822f8d8
BLAKE2b-256 924ee7a4adba646fd13c593e7cf1501b86717a52de2a038172bd142bed3dcace

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp37-cp37m-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp37-cp37m-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 c69172eb2e1fb9d18445aa70d49c1f71993950f8a7cd21c29d4bfea645f1ebd3
MD5 117a7a8d78a3f2aed168fb02fff9c2b8
BLAKE2b-256 66f543c2a06d6f47120e013f8a9b439f0423087cce0b726b360573e09aa5b96b

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 61cfa8bdc7d062d4f94a532b09107cac3a3a23cbc2f7938cccfed88170d94a60
MD5 5f787a8e13dd86f488ac1d0ce404a4cd
BLAKE2b-256 34bdb6ac0f43c9b0f112597214267c60f853923ab72b6eee44f718d6ad5f253d

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e22da46ce916ecc7b87003c0b299b3c65977221f848e556c8315c80fd328bb6d
MD5 3cb088679d12da0fc83a2baa01e091fe
BLAKE2b-256 fbbb367f871324439ac4d793c82ba7a1bff8abb4539aa77d4e78c90636709327

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 cef080bd65aaa5b64f91833348e997252b923ece18031afa70e01a2f02311abd
MD5 a02e9608c6b436d370da519d4c162beb
BLAKE2b-256 bc0086eb75ef0f44e707253f4c934ef3eaa6cacf4045a1fbf872874c41df991b

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp36-cp36m-win32.whl.

File metadata

  • Download URL: uharfbuzz-0.39.3-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for uharfbuzz-0.39.3-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 fe9a122fd18096d63cf9ac3c24bc77283c2f280c88b1347e0ef88d17d8f030e3
MD5 eabc708065d5cda2e5da14560cc6a973
BLAKE2b-256 6429f9948d014e8edfd6f536aedaa9fbe2ac40072debb3cb0bcd5e97253c93fe

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp36-cp36m-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp36-cp36m-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 639f2ce41fdba0022eee9c2ef8435e26f4fa20c451f786a0d56f6bd2e7912a4d
MD5 e82570536e9e6fccfe76ac1d63473d81
BLAKE2b-256 04f5767a453f1795b35f39a1fff26fd453de6833852ba235212a81fc5bf66dbb

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6b073e37c62e1fb99b04087e1c2acf6a35b7f31c6ef1bf729e711f98e88696f8
MD5 f3803b08f1a47766ca75b3013cbcaeda
BLAKE2b-256 3f833470d5bc0967874eb856ef04883a067b6bcf546eb6e4a72016e863afffa2

See more details on using hashes here.

File details

Details for the file uharfbuzz-0.39.3-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for uharfbuzz-0.39.3-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d9076226cf2ae5b51dc626530e3a25f6437236f4ad1db121985fc90a724620d6
MD5 97bc2b0616fd5a4eaffdc31694ea809d
BLAKE2b-256 d0a80ebb347848b23e973bcd436a57fe08867d29c6ee35111a71028fcc3c357f

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