Skip to main content

Python bindings for Yrs

Project description

Build Status Code style: black

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

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-0.8.1.tar.gz (27.1 kB view details)

Uploaded Source

Built Distributions

pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.7 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.8.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl (653.7 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

pycrdt-0.8.1-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 MB view details)

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

pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.8.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl (654.0 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

pycrdt-0.8.1-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 MB view details)

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

pycrdt-0.8.1-cp312-none-win_amd64.whl (478.2 kB view details)

Uploaded CPython 3.12 Windows x86-64

pycrdt-0.8.1-cp312-none-win32.whl (457.3 kB view details)

Uploaded CPython 3.12 Windows x86

pycrdt-0.8.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pycrdt-0.8.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pycrdt-0.8.1-cp312-cp312-macosx_10_12_x86_64.whl (653.6 kB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

pycrdt-0.8.1-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 MB view details)

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

pycrdt-0.8.1-cp311-none-win_amd64.whl (479.6 kB view details)

Uploaded CPython 3.11 Windows x86-64

pycrdt-0.8.1-cp311-none-win32.whl (458.7 kB view details)

Uploaded CPython 3.11 Windows x86

pycrdt-0.8.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pycrdt-0.8.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (1.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pycrdt-0.8.1-cp311-cp311-macosx_10_12_x86_64.whl (654.1 kB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

pycrdt-0.8.1-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 MB view details)

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

pycrdt-0.8.1-cp310-none-win_amd64.whl (479.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

pycrdt-0.8.1-cp310-none-win32.whl (458.8 kB view details)

Uploaded CPython 3.10 Windows x86

pycrdt-0.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pycrdt-0.8.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pycrdt-0.8.1-cp310-cp310-macosx_10_12_x86_64.whl (654.1 kB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

pycrdt-0.8.1-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 MB view details)

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

pycrdt-0.8.1-cp39-none-win_amd64.whl (480.8 kB view details)

Uploaded CPython 3.9 Windows x86-64

pycrdt-0.8.1-cp39-none-win32.whl (459.0 kB view details)

Uploaded CPython 3.9 Windows x86

pycrdt-0.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pycrdt-0.8.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pycrdt-0.8.1-cp39-cp39-macosx_10_12_x86_64.whl (654.5 kB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

pycrdt-0.8.1-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 MB view details)

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

pycrdt-0.8.1-cp38-none-win_amd64.whl (479.5 kB view details)

Uploaded CPython 3.8 Windows x86-64

pycrdt-0.8.1-cp38-none-win32.whl (458.7 kB view details)

Uploaded CPython 3.8 Windows x86

pycrdt-0.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pycrdt-0.8.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pycrdt-0.8.1-cp38-cp38-macosx_10_12_x86_64.whl (654.3 kB view details)

Uploaded CPython 3.8 macOS 10.12+ x86-64

pycrdt-0.8.1-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 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-0.8.1.tar.gz.

File metadata

  • Download URL: pycrdt-0.8.1.tar.gz
  • Upload date:
  • Size: 27.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for pycrdt-0.8.1.tar.gz
Algorithm Hash digest
SHA256 cdcce2a883b01ac43b4e00687319699b274f9dcfb68cd29ae004cc5f08dbcff3
MD5 9d18c67570b2e3ef747366cf549a095c
BLAKE2b-256 4a0559184b41df2e838ce28fe7ce6b2c86128fafb89b985ef5f73ac05d47d645

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a0e57dc1e94e33ff1522b8a6d6db1beffcf690ffa2bc05914f152deb63586794
MD5 f21b79b31f44bc87230bed46564e9e3e
BLAKE2b-256 7410597eefba23fa674cedb497e4aa7124f8e4ff68b60072f65d4192b38f8836

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e827ff0ed54c1e102e3fa25520a85a1f3a169c9e5685e194f536465c15b5934d
MD5 129617aae7dafa97c96f4079ce58221d
BLAKE2b-256 a895fa5b6cb0511aba82868f92cdd962648c5669175a338c479b80e07536eb06

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 75dd86ef0c6029bf6ae35954348bcefeb3df01372c41cd5c5cb94a2f0853993e
MD5 985c18d6ea1278dc8fb63dc266cd3e74
BLAKE2b-256 f41f0913eb17ca0c65b5dd8b3f59a0275f6f00b7ba8b9936886e4fdfd6406088

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 2e72727ef7b64f58eb2bf5e9f4c8704e2b3dd74218387e7109039d2c520b74da
MD5 f22cc38020a799a7e4895a7319878eb9
BLAKE2b-256 3b9029e679449e5c74de766944919123021ed79b5b64a2d9c82bd48093866ad3

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 8f8ab877143cd5c218e928cb00cb25932fbf21138915e6fbe6931a8711033cab
MD5 fedfea113e1170012e010c630b05510e
BLAKE2b-256 06a1675f0949889bd93e9963f27b5e9b38459e4824a2ca5881cc962b6dfbab84

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 34a50465d3903c276921ca6d22c685d979f903834b1d13ef6b5bd07a2dbffc78
MD5 03a6d77893742a34c4b43414ff3cd314
BLAKE2b-256 fc18a7a6a6e672e8e39b091a1cdc974ea57a0a41a49f0b769240ba1c07813ba9

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 61febc4307d439445ca0f2e44e4023e9f1c524a194c0b0bdb882633efaabd20c
MD5 f967796772f7835b600cdfef9e544bad
BLAKE2b-256 7ae07c645ee3b81f7134d910111e5ed65f65c44a5ee0ecd3e4107c1dc62603b6

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 605ba8d0d0436716125ef1d51002ead0ed553afa06a2d0767766d35a29a05ab5
MD5 781c662538a29b847fc7962d889a3b39
BLAKE2b-256 9a5f1ffb97675b1589f4aba3087c940fe22b3568f2544289d33d479a31e4d4e8

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a4f088cbf4c28ac498bade0ad5a8dec32412369e315a4341f5106754c95cf4eb
MD5 0b1ec35d4ac63e23e112fed788427e76
BLAKE2b-256 40871673702abf6f7862ab2d36a654b4ed45d53d002759337795218a9762455c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 30996440c295e13294c6d69b228afc63aa06389e3effcd86e2f72a712d1b1ae7
MD5 3274c808f21c5b599a4628a520f691b2
BLAKE2b-256 0ee84bd45b4481a0623d7fdab238a9eded6f3beee71dc326732d4a965269dd13

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 6aec0fdc0019a5d014b8e5cfa71fe144ae2dd054733980c53cd8909ec27220a6
MD5 7a06e734dd3c0ac5bff15779aa57a413
BLAKE2b-256 ef3ac734ddb60bc27e6cca6e1d229350c4c65071d3eac26ee92e878a42e3a104

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 84601bd0250965ced848fbce116611cb662ae2ef9ebf11e7c8fef7ce079d1b26
MD5 b2a307dd2ea4e43f94d9f6b3a6fb3d14
BLAKE2b-256 7223aedc7a889287d54d58d591de43be52854532f629d270d679774e360dbd39

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9bc0a81d8cb3081c4c0e5bd4cbe9a7ff03d0e511e93647e9c126ffb9812762ef
MD5 4cb3d26afe1f87d0b1830a8a9226898e
BLAKE2b-256 d92d2a7deb2b88d5f2c6c9ca796492172232538776e9373d8c1095b3288cb481

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 547d186fd8ab44aef214a31c52e7c4337e70392330e1f998931ee0d2474f2fd7
MD5 4fe23386e006a025443a735fe636d490
BLAKE2b-256 c02c8dac127db294afe5e3b63a88623d9ed476a10cefd901bb29e4262e2de4d2

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 d506c00f19826a633e850164349c7130c5001d7199344070a1bce80cc133f6e8
MD5 68e159110ace65e3daf492f11e9fa532
BLAKE2b-256 a9432ae9f95dccaab86fb5ff6019ac5cc3e2d14619fe77771dbb4564407cc686

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 f622b0b5cc19454f153ac667b47edaeb3094d36359eba9de36cef02219a0c046
MD5 81bed5a3088cabfae3baed2dc69afa9f
BLAKE2b-256 ff92c65e273bd73d3c3a402f769ac2c4d7c41f70d119b0824b742ea7bc06f9fb

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp312-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.1-cp312-none-win_amd64.whl
  • Upload date:
  • Size: 478.2 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-0.8.1-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 5084d706e36155cc25c84c2d6b8e0445f6d9813a803942d9505d54b6da8be7d2
MD5 2210a9b53f6f70ec42b710190a49fa4e
BLAKE2b-256 815c5db61441907686e774fa7dc49a5cf82e9013fecfd579a99adf258158222b

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp312-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.1-cp312-none-win32.whl
  • Upload date:
  • Size: 457.3 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-0.8.1-cp312-none-win32.whl
Algorithm Hash digest
SHA256 6150f6abda353ed17e73ede30981a1d925d92a32da4122f047068bd8ebc1e43b
MD5 e9e29d939ff3e1bee4efe5c8fd0a312c
BLAKE2b-256 39275061529ee05aad021e53fcf68e3732b52755e8aa0ab6a4067266b5fd1465

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7180738aaa95a7b4cd12c17904ca526270ca526b0bc2e2de33a12ed602a5b700
MD5 ec8921584b12b7a606ca197c38c4e868
BLAKE2b-256 ac45d79cd8a23f1c0723fc6cc380faea12a83d1c8579426d597aa874a9f93b69

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 396da63dd7b2dcb63206076d9ab8bd4f6718fed00736c104407ddaf949ec9724
MD5 68478929f6c3ad4be4832c76e250dc33
BLAKE2b-256 17bfa3e220f45c5f91732b7a2682210eb963e47110cd88f53d43ae17c01f4db2

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 fa62c6f6f4ce4059650f72cc3a7411b98c91693d98b6d118a29499a490539980
MD5 5f78a40004bdccd4faa3c8c8eec4e0b6
BLAKE2b-256 8d5b1fca43d49d7ee126a2e537a30775c47edc7d8b92346986b1a764f097967e

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 d2d352bb5210b1eccc1c3057d88766daab02cb7fe9b072e3444523d60ca77a5c
MD5 1cabbdf8b932190e9cc1dbba9c73da30
BLAKE2b-256 94ad97817785020bd7888e4eb2ae0d47a9120257f6b1595f4fc04330100a316b

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4101de2b86a5a5b01b565f1a4dccceadd3d15035dfd950d50f1a45b3e76e4fdd
MD5 2e34b562eb5c00ecd44765a2d43a87e9
BLAKE2b-256 3d0519f9d0b42409465e3e7126858a22cc81c010527a802842f024effebfbbff

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 00b67c110526793d9ac811ea5eed9b88e023ec0985949350c9e304bc21644b54
MD5 88ba902301c2867efe8f36b7d2b5ed49
BLAKE2b-256 56304178c5bd365137bd7c17650ea789273ab6ac008b9414f98c30670027a1d1

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 d4d6c5f8a68237c7a2e78491a919f117b009baf7c009f7d08870b271d359145a
MD5 2caf2d3b83a7461d65aec7038d6578b5
BLAKE2b-256 38311e70f827f03e918d332e23a6f8bbb63461f09e3a5694543770111ace20d1

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 08a710784462ec65501b1736e000d9aab9b727e23eb8c9e754ba73cfd6be5696
MD5 320a420e8494c26e160531fdaa94f6f8
BLAKE2b-256 a75280ad0f312958c6bb18dcb7d844dedba07754c0dd2fb3c4c7e16f6b887448

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.1-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 479.6 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-0.8.1-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 c92b64b6e108b734c03648897f06a310fce4c956c032300326c33620e9084cea
MD5 c0d05e204d150bb22b2259e3f7af024f
BLAKE2b-256 fd0b2f4d67e087ea95013bfe57dc4f625258fdc2ec6166b5df2747917af734aa

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp311-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.1-cp311-none-win32.whl
  • Upload date:
  • Size: 458.7 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-0.8.1-cp311-none-win32.whl
Algorithm Hash digest
SHA256 cc6a66671bd72311a3dc28489e28e8d5cd3a7bfa895689f43b8d120f3745be20
MD5 309fbe0404569951f154897976afa183
BLAKE2b-256 3eac94145117329a9d3b4694cf21b954cff675a83b4df20ff50efb023176b53a

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c33c731678165c902fda6f108a3ac784683bb8425bb0250ca73b3d3a4df43c79
MD5 abaa61e525fc0a150634c6f5cdd45283
BLAKE2b-256 db4961b61fb1905942ef2ff9e2dec54c2492bec9f2d3a8a5a50a0f69445ca33c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 a988bd0ab8a7af0200db9bc109f4bdd34923dbc0db7deb7a59bf268ec616b441
MD5 78cc066b8b2acc28ade72b70d40117b4
BLAKE2b-256 c091b345f557e733bd89954f86b84ec53d77252b6c93e4b235b5c9f1a3d24400

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 c066b518d6c435bb2fb2fd1b0254467493b86116850f44541bb1b4d523b959d6
MD5 cdb3c2a09e09b068e32c60c4510dbad0
BLAKE2b-256 233eff1d225f1bf7bb3171e071f7178935ce1db4973217737f2be2973e348b9d

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 3b2be6b818f87968b48a4fd78c6546e151549d599f319f75955e0bc9508ef86f
MD5 17ffd374c5fa10a7623793db6d2642e4
BLAKE2b-256 31bb08ce7a3d41c64b8c350450e2ec79a399576db65b214628f714a85634f3e9

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9777553a621d4e9fc992d6707237a9fa5db34e793328a7ce7ed97cc981ff52ea
MD5 bbf5af4b2c2c245eec234392a1b97544
BLAKE2b-256 2776ac44a3f3cb04cd805098df1559ab5002453b2d7d0cd8b8128145837f5334

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 1d6a624fa51f9881483983af39b8b48a42de1fd92ba0d4ecf4569ae91cc6fc5b
MD5 885c266591263d9d9b1ce89886137f2b
BLAKE2b-256 2e872b89c7e66c8662fa1f76a5a973854578be52d90993b2c7f9430ef20b32ff

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 cc2bb8f0e8e7de3dbfd488721a2f808f7433f20db5d70d23673bc3591449ff99
MD5 517f1bd437ee82d84eba9cd7b42e02b8
BLAKE2b-256 1e3ad22af1b2d510e65700ebab165431f371ee05843759896954e9724aad8846

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 25874c058ec7bd7069a99000dc8c5c581cd35488628ac2ca704f61ac280444fd
MD5 1e83074bd3a285e9638702275e7c0895
BLAKE2b-256 87ca14d6d4469b7f99e804d224bb67ae8745bc05bc7044c4b401e5b0b63bbb5c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp310-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.1-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 479.7 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-0.8.1-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 bfa22b4b908018f091e744c6113bb68bc76984b3ea41edab9a8413b3793d5efa
MD5 24a1d04283b5e0c772fbf99e636366ab
BLAKE2b-256 5a13cd1d59b3bdfc9149654077f3da9b0ccbb4752ce76a61fbdf89be856ffa1f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp310-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.1-cp310-none-win32.whl
  • Upload date:
  • Size: 458.8 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-0.8.1-cp310-none-win32.whl
Algorithm Hash digest
SHA256 9703695bbbd10cc8ce11e5e73a4ded88e7cb8736927416ecb155f499d0b5cd94
MD5 5f842299c4766da0cf849075f5a44b12
BLAKE2b-256 760fe35861442e1862fe1f14dda5025bc61779e238d074d04d3d15901189ff8d

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fac8caac14807b3658e50266be9de8b9de2e8f2cdddf3ab9dc8ccd2000f468e6
MD5 dab94f867fa7181b174fbe563e34b43e
BLAKE2b-256 e57b2465e3177ee0a6f6717b5418ef264d305eace30c8e1bf9803d685ee3c0e2

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 9a4e14a714c0b39e2454abaf25b5c0ff5303e485c03853006dcf6bb644c85c98
MD5 8779ce472d303af0fa194809c62b22d1
BLAKE2b-256 fdc5b0e7a8685c2d4253d07fd9d279e604b3646430ab5b57f299c60ed1b9f30e

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 3b6e518c433dc5680341a124e6bd0bb7c5b7453ea125f651defd3a35076b1c1d
MD5 fbedf53b717580db7b707a815bcfca12
BLAKE2b-256 a788bc8cff2ca443213eeaf97b794b9da8461448d59204478bd10b4b7e29ddeb

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 2f6fe445651cd03698aaf85d1dc5de3e14ca396e1e5fc5abd964119a9aa6c748
MD5 84a4b6e2f9c4895567bfc9f2d9aa7844
BLAKE2b-256 6360a23cb32145f891e3639f1ad8704826c3acf16898e3bc20ae60f22dafdd7c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a47f2c52d9c885b0309abc8b88721458c08a496cb3703d0d685fdfe5db023da0
MD5 761c40816d1034a0da490a1ac6e4e95b
BLAKE2b-256 e07c61034355be7ac5895caa416a5bb3484e593c49196c88fb7fb90fc7a75ecc

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 801e9cc01e0f713ea442313d622574f8388015d1afc442dea059ba440b996b38
MD5 684c6937cbb9c2a629593d59c28e9d9b
BLAKE2b-256 25d809018f311e606361d75f3631a420c26ac5a134c67a52c96ceedba1330251

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 6bcd14937dc4c0617d9682d03e5d545066bb5524250885ae2257fd9b20f9fbf6
MD5 d26ddbe15d21da0504e4b59ffaa2b574
BLAKE2b-256 ecdb64fb9b09b87a045b690088ba0b9fc2ea09c87564e0ce77652d810509b223

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 d8e7ee7696b6ff915d980083d2adb337b7fb45b0342b9a54bdee682135a9790b
MD5 f3a8ced422c68636dbb369c66f61d450
BLAKE2b-256 586cf1742e2196ee0a3e58e6dfea872b7d031db40dc6b41ee2f7be01fcb58e43

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.1-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 480.8 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-0.8.1-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 962650efee67d73b827f4c7d94f60b405f7d1ae4f528d235ffdef38d1e20d596
MD5 c24bd22124d76c7f4afeefe0b0747310
BLAKE2b-256 b255baf59179b5b4ff392df4bb865fb2efa5f12d68051874afd1dd9bee299701

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp39-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.1-cp39-none-win32.whl
  • Upload date:
  • Size: 459.0 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-0.8.1-cp39-none-win32.whl
Algorithm Hash digest
SHA256 e8aac17d8b2fb7c30a9164b1ccce62eeebfbeed33d43832693200a007c8a30c6
MD5 52b350e10b143b68221f44e3ac269ba9
BLAKE2b-256 4fbd7d9e3ae8b37a75b74d2ef451eff3f1b59b75a0be938a210875ed20446420

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 986c63b8efa186dc73821813dd5344c433f2ff2f4a0cd3ba45be12eec4b7af22
MD5 07a037448ec3479dd40cf2a75b06b84d
BLAKE2b-256 94e37b4ab1dbe442f18f4750efdce6a03b0586feb3968ae364655a3411455f80

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 aee67874414e6dab04538a131adaf3d0f5a2daae968c8ce1835c34f58ce89af2
MD5 b5b713dbded95d0f266b55ec250f31f3
BLAKE2b-256 2c0a853f69f90cf4135a13a12f2849644862fa8148a34429a4600c2126d7eee6

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 75920e57efdb93c0cb2f095f7303981a38fde14ae1269553cfe9f1fda9551ce5
MD5 51967a2d3263580c86c09806bb0ea7a2
BLAKE2b-256 757bfcd5cdc957753bb59199e8a74551f7792b8acfc7dae70d8cd98ae175ffbf

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 04b19eaaa662a30a23a8486b86824dcda2715d463c20b82f1a804848b3f5451b
MD5 325897ef476c81651146e17ffe8ac364
BLAKE2b-256 3c1f33b71a1b90a346114707a70c931708c4f1972b94af8d20a5a8cfa3075e76

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 312359eb353219c7978c17cad420f0e3565fa9fd21ff027600173e064e2ba90f
MD5 b237ec53c6ce17e69fd82a4e9ebc0ef9
BLAKE2b-256 18357d72dad09a1415e99a972d44b4d5481b6a5f42c23f1adc6c27a23ff92987

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 de3e9926d00d00b6a8c1ff669dffbd2d06ff521a56033a0697c9bb70b3d80ed6
MD5 e9736edf416993576840b1a9392fc0fa
BLAKE2b-256 9367ea4a944c2f0f84ed40c9dc0a86ecefc0bde7848aea7d9324748ee750f1f2

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 cae2d30f77b6715b4c668224047f7a3db5868928dacb6a6933bd464605ffe3d7
MD5 6a81aada9fda6bf8a7ef9f300709c423
BLAKE2b-256 cdd6c3df9d323b05947295ef36622926b0b75e7affdaa6556b02dd8f82f65584

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 b4731e2d1bfee7b6bc8e78a486a0f6e039173754a0815692791834c61e9b8415
MD5 000c86ba60143b95f5a906732969c77e
BLAKE2b-256 5aa08ab74744061a3b6300bb7d87fbf7b01632ef4dcd67f0ccf405fe03c0b73a

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.1-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 479.5 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-0.8.1-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 9783f8d0b4d3e08e2332d4451a0af4821c663ee39b93d2ceb6a8244ebe90248b
MD5 7a594ffb47e4f096db789a5a8764bbb9
BLAKE2b-256 1ab0a9905a4814f8e5153047e971db165f7ecd377a09593aafd4f4adad832091

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp38-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.1-cp38-none-win32.whl
  • Upload date:
  • Size: 458.7 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-0.8.1-cp38-none-win32.whl
Algorithm Hash digest
SHA256 cc7bdd6a19a9e250cd628a9e80ac19f386ad86f04d5c5c659a6c7e0bc00f7933
MD5 cd313e4dc50473559cf5188def58a5ca
BLAKE2b-256 85947d66dc28e110aacefb9db773cec96e3a2f71b752b5cab1fcf67e6b796248

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2816ce1eebec39b9f1ed1da867adaba827593c1643547b944e1de4a04673e7b6
MD5 0e61cb70bdc9661db4b2e8e9c71fbace
BLAKE2b-256 eebd36464bb09a1415d4cf0bd3f820bdba0b05f4084b57e7a4acbc908f4de7bd

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 798072ebc1389e186f892788c2ef8d52055f842ddf292a7e9c55284f5cc685ca
MD5 be693fbbd024fbeb8c01a40aa8a6fe63
BLAKE2b-256 41c65ca5a3f4564c6f2b7c03113f94ffa3713f634f61eb0c7dea911762218060

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 64ae4d684846c5ad9106771cfb3ede26989f7347f17004cdd270de6815de2ed6
MD5 918d8654eb56bb3e571e8a604dbcce30
BLAKE2b-256 17ed8481e004900d8412c50bc8013cda0203281612dae984b9f7ac14c3a48848

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 4438071cb0e14bef991d9127c2ff7dd46f10b2f6f91726e6e24cc9be81b43fa3
MD5 680bc58b1245b0fb621db408dae2a8a6
BLAKE2b-256 de8cfd3c08af5a9145c56da0df2b93be979f2af8592c069cec523b3852301d1c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2c3aaffcb4343ae8b19e318ac5a9edcb3e2630569440d5fb313c925566ac98d1
MD5 141e1ecb0f2dcf87f326d9679f45c934
BLAKE2b-256 c9a257acbafcc4d2b021e2a1985f8c88d6917159ce8ee5b107020b30874fb329

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 23a5a6c651f9531253a26243ab903bfd053825bd0e9504c1e33cd9a5be353184
MD5 4c64919b76a202847831c264551f4d37
BLAKE2b-256 bc98221b94192bcf72e4e1be1a0c0a77d9b3891931b6154d44dbb12ddfd0f4d1

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp38-cp38-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 2c625bbb8ccb40659c20a08280b2bd2f9177978f7e77f2f9a13708b7c466323e
MD5 905836233732c85c0498a8dfb9b636b9
BLAKE2b-256 52962e7af5ff560d87519d28c38aada99e6fc22619cb6b1e6c7bbd17df2a4d25

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.1-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.1-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 224c3ead1679bb2abb7aac092d8a5fc4fee1024205ed9fd93b69599fbfd54112
MD5 abc5bb5b381f095cd3603f4135153659
BLAKE2b-256 025b1057e4a0738479f7c2fc910b874cbf1b1d2ad3ce9d92e9ebf07f09092940

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