Skip to main content

Python bindings for Yrs

Project description

Build Status Code Coverage Code style: black

⚠️ This project is still in an incubating phase (i.e. it's not ready for production yet) ⚠️

pycrdt

CRDTs based on Yrs.

Documentation is available here.

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

pycrdt-0.8.8.tar.gz (28.9 kB view details)

Uploaded Source

Built Distributions

pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.8.8-pp39-pypy39_pp73-macosx_10_12_x86_64.whl (610.8 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

pycrdt-0.8.8-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded PyPy macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.8.8-pp38-pypy38_pp73-macosx_10_12_x86_64.whl (611.1 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

pycrdt-0.8.8-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded PyPy macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

pycrdt-0.8.8-cp312-none-win_amd64.whl (462.9 kB view details)

Uploaded CPython 3.12 Windows x86-64

pycrdt-0.8.8-cp312-none-win32.whl (442.6 kB view details)

Uploaded CPython 3.12 Windows x86

pycrdt-0.8.8-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

pycrdt-0.8.8-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pycrdt-0.8.8-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.8-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.8-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pycrdt-0.8.8-cp312-cp312-macosx_10_12_x86_64.whl (609.2 kB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

pycrdt-0.8.8-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded CPython 3.12 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

pycrdt-0.8.8-cp311-none-win_amd64.whl (461.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

pycrdt-0.8.8-cp311-none-win32.whl (443.8 kB view details)

Uploaded CPython 3.11 Windows x86

pycrdt-0.8.8-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

pycrdt-0.8.8-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pycrdt-0.8.8-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.8-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.8-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pycrdt-0.8.8-cp311-cp311-macosx_10_12_x86_64.whl (608.8 kB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

pycrdt-0.8.8-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded CPython 3.11 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

pycrdt-0.8.8-cp310-none-win_amd64.whl (461.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

pycrdt-0.8.8-cp310-none-win32.whl (443.7 kB view details)

Uploaded CPython 3.10 Windows x86

pycrdt-0.8.8-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

pycrdt-0.8.8-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pycrdt-0.8.8-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.8-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.8-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pycrdt-0.8.8-cp310-cp310-macosx_10_12_x86_64.whl (608.7 kB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

pycrdt-0.8.8-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded CPython 3.10 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

pycrdt-0.8.8-cp39-none-win_amd64.whl (461.9 kB view details)

Uploaded CPython 3.9 Windows x86-64

pycrdt-0.8.8-cp39-none-win32.whl (443.9 kB view details)

Uploaded CPython 3.9 Windows x86

pycrdt-0.8.8-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

pycrdt-0.8.8-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pycrdt-0.8.8-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.8-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.8-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pycrdt-0.8.8-cp39-cp39-macosx_10_12_x86_64.whl (609.7 kB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

pycrdt-0.8.8-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded CPython 3.9 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

pycrdt-0.8.8-cp38-none-win_amd64.whl (460.8 kB view details)

Uploaded CPython 3.8 Windows x86-64

pycrdt-0.8.8-cp38-none-win32.whl (443.9 kB view details)

Uploaded CPython 3.8 Windows x86

pycrdt-0.8.8-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

pycrdt-0.8.8-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pycrdt-0.8.8-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.8-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.8-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pycrdt-0.8.8-cp38-cp38-macosx_10_12_x86_64.whl (608.8 kB view details)

Uploaded CPython 3.8 macOS 10.12+ x86-64

pycrdt-0.8.8-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.2 MB view details)

Uploaded CPython 3.8 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

File details

Details for the file pycrdt-0.8.8.tar.gz.

File metadata

  • Download URL: pycrdt-0.8.8.tar.gz
  • Upload date:
  • Size: 28.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pycrdt-0.8.8.tar.gz
Algorithm Hash digest
SHA256 445f92dc6d55e9e9f6a3e8a741f0722a6d6635647bd014cff7976f0bbf669def
MD5 98468d9a5a537e045add8ce6cb591409
BLAKE2b-256 93230799d6c98c5ba4abf174c18a0b275626e439d9c9583ce663a124bf4d53e3

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c7b559ede34a78e2f89f7f3525aaec8dfcd0b040cfa31e9b8dbd6f5548740f25
MD5 a7c736274e124347a8af89ea48ea98b2
BLAKE2b-256 0411c04451cb84d0450d8b4bb504e07d66bcb1c2ea0d7d67bdc21d29e6b5c953

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 c8928cecbf3ae5f06f83fe1d5dcaf9276fd22eb3f5290c9f5eb8bc89fa276ac3
MD5 5e2b2066e140d430c391e1e7290abe72
BLAKE2b-256 e86c7e7145fc137bab956c4b4323985b6be053fe6bdf6a8b600d223187d3c726

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 99c408dea8b109aa553f65569e9314aec620847103e756be12ce9ce9f9c49b30
MD5 c134f3314eabbb37c78cb84ae3f377f4
BLAKE2b-256 7ccdac8309239d3b8aea071bfe43612b321f125cc72808743359bdcca3392940

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 051099c48118d81c17e9d7d2845c2ca9d03dbc36b44e3eccbd61149bea440d6a
MD5 6ff5a22f376a52b2795f20a3526d13e0
BLAKE2b-256 4f9c58a50e086cd2060d5818a5a4b7826915f5ab849e40dc942ff0342d192ccc

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 be4130c4ba5766b5ace55b499ab44925cd01325e146e75a4453ad3209504c969
MD5 410c0292a418ae927c25af623e21de8a
BLAKE2b-256 73a1f99f56faeecde959031e472d0dc2564f31af86059edb7f9b7f737ed2ec8e

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 174278bcca8b99734eeba2ef74e84f11c487dd7f18096e01c67eb84d34b1ee0b
MD5 13c0d73fab9d6b5e440778fb80075134
BLAKE2b-256 c711d2d185befa3eac451f808c0e5c9c1b0c1e33a8976fc71cefadddf2b67936

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp39-pypy39_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp39-pypy39_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 c7435c7054c1e76bc70769283b7e985cfa4f920f0081a4e36980a3a06bcc3b05
MD5 d2569047c89f425be15fbc8c2bc14d0c
BLAKE2b-256 c1175030f6f85983ef567781820db5c33f40cb41aef81a98048cce28903d7e8f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 208abdbf45dc3cc8580a30ee230cf62b66c51be24228a5f1c2068ff6a80a3907
MD5 3abf703ee2402931f70af385be92fc90
BLAKE2b-256 38ffcc6923c04f27335299e4d128a0f4f946554959215697935e00c924fd135e

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ebb4df1efcf5d3d30d03e81ff0c541f553d907c3810e1c945e5b5a750d52f018
MD5 29260468ab3cd68e3268bcea240bccb0
BLAKE2b-256 2e2094e129dfc282e2e568c016001bfcc12e149ddbb795d09080b446e66a2db1

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 da533c2190b56b3a4b9ea8aa85e363b821dae644e786f3ff4d1a631b91c954f8
MD5 2e08ad833244fc14a45d656d3ff299b7
BLAKE2b-256 a48c03d293db0e7528978371632df7b31a60c1fa707ed34d6d991054af20b612

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 912c3b75bc3828ca921553d4d58f55550c055e25a0f02565458d4288161fa415
MD5 b326de01c873a850348df3ed4816da27
BLAKE2b-256 d2b6715113fc8bdb2b5e612c81670e3d32a83534bc6aebc7dfc20b56cc311847

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 770a65553b9c2d865c1604a4756d0160e7974b256a9838d8dfc8326cd905b89d
MD5 309920f68f92a66de65acc47ddf336e7
BLAKE2b-256 a271c1327e5456cd801df3e6f16680c49dcc2300ed12c764997aab0ee9145647

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e025a868ad615f9fa6e5ef75397241085146b97876e76f144d33f299fd53d40c
MD5 22265367b1156406ea20acbc0f325d66
BLAKE2b-256 348d05cb123d08dbbb1894ecff79944fb9a2d44b12e68339da56fb713d41fb02

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 bc427d48cc21930fa5325c4ac8cbf2767285b7bf6296016f1c48bc262be6b312
MD5 88a9b4a4fd5a2a4f9d1b2ffdf0526ce9
BLAKE2b-256 5a65957e670696f32d64e8a1fc7ae664c095e3ed388d554967b9689119183374

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp38-pypy38_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp38-pypy38_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 d20bea1d264763aa099638cd640aae21bd3cf8a94d1f5df9edc653f157688a7f
MD5 9162397caba6c802e2c35cad2a6ed3d1
BLAKE2b-256 26a30789ccaebc1d4a9ac2b8dd4cf4c9e88aed83ac44f75592aa674efaa15685

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 933cd3ae1971a7def736d5a711c2e26bd77b7dc69571e432040ec7c0e15d474e
MD5 540771d92e2d437c42dae5fc7863140e
BLAKE2b-256 632cd56ceda71de50e1b5cf5e0ba5c92ad7ab81693ce00487c9b6562b9c65f95

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp312-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.8-cp312-none-win_amd64.whl
  • Upload date:
  • Size: 462.9 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pycrdt-0.8.8-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 eaddd257ed2e83b26a93f919a3d4b736805004fcbd90a423ac723e663b9f8eae
MD5 e22d9463a8f5824a2d8650df3216de73
BLAKE2b-256 a4dd7b2cc6210148de11aa14d1c7ec89361aa14699ad0eb64798a68aafe34291

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp312-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.8-cp312-none-win32.whl
  • Upload date:
  • Size: 442.6 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pycrdt-0.8.8-cp312-none-win32.whl
Algorithm Hash digest
SHA256 8dd1dba894dba9b67d2722f21f0063201452c51ef9fc0aeb73da0d01bce1c7d1
MD5 b34df2a7852c31a3781991853d9632db
BLAKE2b-256 b0a0f523fde1ad4588adbfefffd6a0fc1ebcb00e41d9fb512c4b07a91c3656d0

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 808796e7d60d058b67e235b45fc64dddbc9eea481be9262b0593ff92559bc5a9
MD5 216de734561e6a75d6767dda65ef4e53
BLAKE2b-256 178c358f107ed3ba9f27ef04b55739d4ac3ff95e86c4751426169590652d8e72

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 ba08fb5f6a5dd5c852bff229ec060547b472cc8b2eb018434f5548d2f2c33aa5
MD5 f152ea4c5ffdf0161f756a2b90bc4da3
BLAKE2b-256 1e858608c5e65289e13324a4c6d874dcfdde28a1c07743be1d35bac8d19716dc

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 ede11fa6504c5feef17f01a630dc57e04e90a980ab91f77d7a9ff9aec05a833a
MD5 62f0065fd2d98d666b8c47d5da54bc98
BLAKE2b-256 be838305636b302268ed6d0e907b32dfad52fc77e2f7ce21c900075c939b3b57

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 a1df7a52a6627f85800639c0edf3fe578de6851524bc4b988f6f1a19bbaafb5c
MD5 60ccbb994fa022c3c3450157aa1dc518
BLAKE2b-256 55c7bd98722515f85deec706e10f6c9be8187c7b5f4fac329ce1bd1c992c584e

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2acc08e5c8181a1abfb8bf2cb61485a29da8b3048e6f859090a64ec722bca803
MD5 5c3705f567571792134f0ba5c897b965
BLAKE2b-256 002278e14a887c43f07595fc499974b07ecd0bd6d27a3e666c546cc3c1163d36

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 9fbfb66a3c0b7000ecabce8d1fb1ad13e2738006ec3f82dfe8488e62ea76085c
MD5 a1d5ec0ba3e37ac3c06384314bfb4fb8
BLAKE2b-256 4f62bd96b59096b8a2597a0eed26add99058491103f3e6bd31a4e85fe7ef84a5

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 2a70298862f91f0db88f3e1d73e3a4ce8074d7c475f64b9be8b43c779aa636f4
MD5 00eb033ec6013cc3e0f87c96648a92cc
BLAKE2b-256 90def78e885daa4734e92e6f61694ff01152f9faf6c12aa75a3040a5d2f9cd63

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 15fa0a65055305a3b88973f43c932a93540a78b4b7c7f783d51d83074bfe37ed
MD5 64cf87a2a2a252d069e5f220790ce83c
BLAKE2b-256 984a5600a66c1df613f70e6a888b1b66ba934e4f0652061dbfc13b23b7c4f03e

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.8-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 461.7 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pycrdt-0.8.8-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 f04fc452fc39af80a1207a1d4d3af445c8e81e75b8d442e3f8bc6a6dd7e279dd
MD5 325fbdd4fbe0f166f97c600853a2b793
BLAKE2b-256 1702fd8c87a20ca6219a04bf616f3e6a4a22e7d1ad029a9e60fd35ad9601ba90

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp311-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.8-cp311-none-win32.whl
  • Upload date:
  • Size: 443.8 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pycrdt-0.8.8-cp311-none-win32.whl
Algorithm Hash digest
SHA256 e64bb2fb2178942fbaad2c6e606a74ecaff5f8fef6e589f6178b603b004fb8eb
MD5 4153bda6d2deae244d59462b1a76c6be
BLAKE2b-256 a6408bbdf6a051fb810ff6061368e947729ac9dd05925fd86096a54f66f9222a

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 baea9cca29cfaf4d827713791b513255ebf1e458b82fe46d09aa5bf6c2fde1ed
MD5 5e76091620d9d6037b0c54e9e24f4d9e
BLAKE2b-256 76d3e8b2223b1851294e66376388c534589aebaec860dbd8ab6ce2e241888217

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 f98b14c3077bbfe2675c2ac4914f1083089e3697e0d3ded1999a4ed30469964a
MD5 6b7cfe0a7d688967e9fb6792ccd1d85a
BLAKE2b-256 1548d69b8a5e8a2a3ef54919d2f8a23e0266e6a4326e5c32d47d01f805c4b116

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 ddd3f09529d2209cd36813d5b9187fbd039afe2cd65d6585252040eeb4c03b3f
MD5 5ecd2b6b9219218b34a6d7913021112a
BLAKE2b-256 71b2071f4efe0a040bce119eea30ef951843945a8e6a561ec02ef0d4fab3f5f5

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 65ea41352143dcd820e7cd03a6ae1a0e76cad792de8f6e0228bbc8334ad2cd9a
MD5 0ad349f4ae2b241291c07ab97b8de246
BLAKE2b-256 dbbecd182c960d01918218f70f4bda29927ede966aeb0227541285c41acae0d0

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 78aad3fc4a9b59d9941effa443a863ccdbbb4bd1c8b41a15447ccf2465a1050e
MD5 49835751cd9cd9f50238f6e87ee8208a
BLAKE2b-256 ad17e39ec48034c6c9f4563875d605023b6d8b3c4739935e9df105d26240bf8f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 6f8a4ccf46ed0476f37f6f3229ffc97cc515a72a69ed3f216c4bf8162e588fd1
MD5 0682949e0a7c2b554bf15c7c454d1a44
BLAKE2b-256 04888de5044cb2e21d9e36766fb65b15a6d265fddbd792dbb363e8f3125f6c2d

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 4f79d5645a95d4aac8a55c56d2191e0fd27df5584d0e6dc5b103b1f1903aa3f0
MD5 6dc9d93efffbf2c5db00dbb79c76d1d9
BLAKE2b-256 343a2c023da5c25a4c92c02f26917a94fc6c874ffe84d260fc78c20ec4250fd4

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 1d9a22a35934a2f3b10590c18da364e9d58439f89cb9b26d01e81a705fd4c15a
MD5 bfc47be487913a872c91ee2f4b53d65a
BLAKE2b-256 7fe6ce34d44ff2453304196ad59d4fb573024481dab0fad62147a5eeeb16ce1f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp310-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.8-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 461.7 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pycrdt-0.8.8-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 fc517ae165e264d495239cc3fa8e00a1c04677cc3bf2b5230fbc6c21ae74a34a
MD5 a5742f4ee3fc93f6521f4e29d78294c4
BLAKE2b-256 16db0027229892bfbdc2558606390ee38bca17fe20691d680cb06d7bb5ebee77

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp310-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.8-cp310-none-win32.whl
  • Upload date:
  • Size: 443.7 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pycrdt-0.8.8-cp310-none-win32.whl
Algorithm Hash digest
SHA256 dd64d6d8b488f16d59562ee6d384221ea286412cad67e360393e83f1ee312614
MD5 0b92079e0f1b75999da7c5625b7b66da
BLAKE2b-256 4d4b595ec5df2d8eb069d6c4036f49847c6d60f9cabf3b7f6a36a06b680d3242

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 35100a98a89f98339409809885248a75dd5a791cc85768e709f5db97531f41eb
MD5 f4011f6e39170c34e3c9c9c933feb63c
BLAKE2b-256 d4ecff03d25d8450fcea8068d0c9aba72911aa38417a1172c25e126e3d6aaff0

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e706aab7abec7f32d9ee328a6bdad8a3a08804ed8d389c6f3d78f4a63fbfa7a3
MD5 b7849eb51277c72d591ddcfc59fc5c5b
BLAKE2b-256 94888374e77d69757e9821b3e83237034079e6d739e773c340f4882a84912ec3

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 bde07ea5349c71beea17967183a9591a6fff0fd17ced31f08ca66913efa2249e
MD5 9eac65a968487431fccc75f877b97bfc
BLAKE2b-256 9551d069450fdd8e39859132f808b4486dd69bcb163b5f03133d6ab1c18f7f37

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 c2a410f85d660fdcab504e2986603faf16ab32c527ded01fe4b2b16a06d03e77
MD5 34dc9b7dff3e0307aa2aa439c397cbaa
BLAKE2b-256 f2ba24c10c9c35ba84b86b2ab29734b0926a530edc5949d22b0000e156b3875c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 616e608453899307622c0f378496acd47db089114a7a3b6d2bd79b24fea8417a
MD5 4bb278505d0c37c9e480bfe494759406
BLAKE2b-256 3e367c979ec5a96c675a9df75d9c49128bb13eeb0e7702db9acb64efbcb0ad7f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 ea3129d088e834c7bac4bd1dc0c6b0c71f6bc90baf4d07a511a2aa60ab5430f2
MD5 96a8e7f13dd1124bd272d099702af5f7
BLAKE2b-256 70fc144d662130c37af2d515fae3e2c25f8aa88029b0d16c20908f8da5acb851

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 05f3fd00f8531fb109b735b2830eb50d0956ff5ab9e3962bcfdce87290ee3c8f
MD5 67855ce18a3b1a94252805326fca7034
BLAKE2b-256 411d1e57e7e684f6d249ec611d66e1c9eb04d40369e2aadd0d4155d66a4053a5

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 fee749416a00a0e7b67a125ca9e78c3d8295c596e25fdb380da2b3f3491f1429
MD5 52bbf52f0e1c52aa648e44046d9fb0c3
BLAKE2b-256 d08b7451f2f9564018e63010bca9a3a41b9d1452676a6ee8b89a0ce37ed337e8

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.8-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 461.9 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pycrdt-0.8.8-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 6232d39a0d8751c2130b12944cdd73532f625fc69e598577f619e917501fa421
MD5 43f33f19399eea0eebf1710836acfa40
BLAKE2b-256 94486010941bbbc37074ca79aa5b463e866b055a143f55f29ef0346b5f7dc7d2

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp39-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.8-cp39-none-win32.whl
  • Upload date:
  • Size: 443.9 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pycrdt-0.8.8-cp39-none-win32.whl
Algorithm Hash digest
SHA256 262bcb4bba4de3ece436e90b8268b48778e3e9d7f1e804c22bd87f2a38b0562e
MD5 1f85edcc023f8e92822464afa794108c
BLAKE2b-256 51b7180c4f7fa348f8650b7a83c132ae03b2e020fd11a02b5f252ce04cb99558

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 eaf8819a618302739ac2023697e6b7c4d70719ee95d8e62cdc015e0f8cb8beeb
MD5 14c7e5c59699404b75f66548e9415601
BLAKE2b-256 d38af4f08ebaea66552a60f942db8ac8016b03de95020bc0332055a16f2736bc

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 9de64ff979cf29dd4f9ce7025a3a5bfb33355ea245d90fbdc69ec890adc93002
MD5 0100da3d737212789aacab70a14503c5
BLAKE2b-256 e20d1cbd6b56ef01d21d401d6ba5b7c3123009da49bc22feb97b2d6070867bf2

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 d8b366cb552a1a8522ff262f532efeb9fdab687aa86d532584b7aee2110f0087
MD5 3e25701984264055eaf772d16022307a
BLAKE2b-256 912802fcf6d96d593c356d3b4569e06ce1b4f14a7e00f210a2c2625bb19e2492

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 3f7f1749c7f3e4f18f8d790af21ec9ba3b0d95f91d986eeb1a9e9d899bd63ffa
MD5 bf1fc5e2fedd1907822277abb727603b
BLAKE2b-256 59b8dbd0c97340f2bc27cf986a895269865216f05240840dece92ca7a2c245a0

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cec82160d9756a0987e9e3b6f710171483b2576378a28842549f7214193ef51f
MD5 8d58ece3d999a31d8622a8cf128fd702
BLAKE2b-256 7e42ab2838bb5ccfc0f90e72f2fa282e5978b02e71610fcf9f306e61e0603015

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 3a65d498eaea3cb049c0b7a87bc153737a59efb46a1e43b2f03d5910fc3a3488
MD5 6bbc46317b9616d8455fffe758337191
BLAKE2b-256 871f883180d0e23e8847fd942be50c8dec2029a5cc14224b040796a6893fb10c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 9fe52374c16a631433d744d082d4f80517069204285070361bc50a64e810ef67
MD5 de44b1d230a4afae23d38c65443ac928
BLAKE2b-256 0048e261db069a4bd16695b7463f220d5f2b4480f4efcff9c56c311a5158bddd

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 6d212c2a6f4725b94a394345cd6d5dc3ec321905c6df0e72486e37868d3ba246
MD5 c5a501f3a161545bf29a894a35dfc4fe
BLAKE2b-256 63483cc2415c16134e0b1f8f13df83ff48348d1ce4138a985a03626952134e5f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.8-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 460.8 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pycrdt-0.8.8-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 5cf675f8a83fd9c442dcdbe181965da30845171cc816870be98c193296373b54
MD5 52a1c93c50952ce80d5f6871a25b8ce3
BLAKE2b-256 cf11a9b74086e141ddaa30d50163ec736a8e8b60dd605e6bf937556758160e31

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp38-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.8-cp38-none-win32.whl
  • Upload date:
  • Size: 443.9 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pycrdt-0.8.8-cp38-none-win32.whl
Algorithm Hash digest
SHA256 6e3a2412acd1cb36db355f673883fe86647bf7b066fe0df79072ef6e7752733e
MD5 07380255c61b205f113f1daae7f3e939
BLAKE2b-256 bd787f85cc3683b1e8d3a8ea1d115e382f612404d38cd27023386f86a5ca348a

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4411a56fe456cb2fa1a3562aef70c3ab3331fb76f9dae1a92160dc977c6fad0c
MD5 5f7538a15440d2ed399241e2e84eb42a
BLAKE2b-256 bf6bb89cc492bb6d080c471fc8cf439e4be9952f1d1550d32a5a267baf61df75

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 30197b8a78788d1b2724395dedcedc94f5d78a1eea4382eb6029dd796e570e43
MD5 0ebffacec6c3d28ab8e9824713b8f363
BLAKE2b-256 b1b8916c93a83e43f918b670f6aac219f8382615acbdbb9d0210dab32253036c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 fc6b079158b1216899f6379466675ba06f0b8e5bfe8006c32824313f3595b94b
MD5 683b3a589c04b540d3a2337ecf8727f7
BLAKE2b-256 e9f4a25b44bedc346fb6f9133566ef4a81664eac4d72dabda6a830d44ee1fd46

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 4e953857051ba75ceb0dccada4b3bba9439d778c1ddabeb82afe81718098c5f2
MD5 e187e629279a279b6aeb1975843ec708
BLAKE2b-256 567e9d4671a582af3c0228564911e92f83b7e0adc46e001fee2a32b2c8efe816

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6d06106f92e5e4adeb3788a44317d2f8564aeedea77c710ff63415e0e5e34bf7
MD5 5035c1ec4249eeb6d5735ef646b899ea
BLAKE2b-256 8d1407b96fb85e21d18dd59df330feb4ab835f2825e0909ff3d953b2e8fa7773

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 40a2f6918793cd3a0131f8c4b43bfd3440d8e876cc5c7efaac0be12efd734673
MD5 ab595ade10d231982a326be8271ddac5
BLAKE2b-256 8a0682fda1685415cfe941167b59d8c49762dd8f7bb02694140a852ea75c0930

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp38-cp38-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 ba29e83e586a8aafef36936851b1615d976325e9652380fc33f588aa96f971b7
MD5 04ff8a3576d17ad124ca6803fb5b4350
BLAKE2b-256 3cf895bdbc50d3c00be648e3e69cb9003ff1bf3d09cf8ef1b617e1d396c9528f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.8-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.8-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 c494135dcb7343ebf6fb669552927238e30196392d75150764017ab129b2bd2f
MD5 a4daceab8585bc594893bdcff1ba2ed9
BLAKE2b-256 511b771663eb089a90170bb0044585864195156f049bcff1a7f45ab7d1d42109

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