Python bindings for Yrs

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for davidbrochart from gravatar.com davidbrochart Avatar for zsailer from gravatar.com zsailer

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: David Brochart
  • Tags crdt
  • Requires: Python >=3.8
  • Provides-Extra: test, docs
Classifiers

Project description

Build Status Code Coverage

pycrdt

CRDTs based on Yrs.

Documentation is available here.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for davidbrochart from gravatar.com davidbrochart Avatar for zsailer from gravatar.com zsailer

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: David Brochart
  • Tags crdt
  • Requires: Python >=3.8
  • Provides-Extra: test, docs
Classifiers

Release history Release notifications | RSS feed

0.10.6

0.10.5

0.10.4

0.10.3

0.10.2

0.10.1

0.10.0

0.9.18

0.9.17

0.9.16

0.9.15

0.9.11

0.9.8

0.9.7

0.9.6

0.9.5

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.8.31

0.8.30

0.8.29

0.8.27

This version

0.8.26

0.8.25

0.8.24 yanked

0.8.23

0.8.22

0.8.21

0.8.20

0.8.19

0.8.18

0.8.17

0.8.16

0.8.15

0.8.14 yanked

0.8.13 yanked

Reason this release was yanked:

Bug in doc observe

0.8.11

0.8.10

0.8.9

0.8.8

0.8.7

0.8.6

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.7.3

0.7.2

0.7.1

0.7.0

0.6.1

0.5.0

0.4.3

0.4.2

0.4.1 yanked

0.4.0 yanked

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.0

0.1.0

Download files

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

Source Distribution

pycrdt-0.8.26.tar.gz (29.7 kB view details)

Uploaded Source

Built Distributions

pycrdt-0.8.26-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

pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.8.26-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-0.8.26-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

pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.8.26-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-0.8.26-cp312-none-win_amd64.whl (466.4 kB view details)

Uploaded CPython 3.12 Windows x86-64

pycrdt-0.8.26-cp312-none-win32.whl (445.9 kB view details)

Uploaded CPython 3.12 Windows x86

pycrdt-0.8.26-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.26-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pycrdt-0.8.26-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.26-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.26-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.26-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pycrdt-0.8.26-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-0.8.26-cp311-none-win_amd64.whl (469.5 kB view details)

Uploaded CPython 3.11 Windows x86-64

pycrdt-0.8.26-cp311-none-win32.whl (445.9 kB view details)

Uploaded CPython 3.11 Windows x86

pycrdt-0.8.26-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.26-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pycrdt-0.8.26-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.26-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.26-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.26-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pycrdt-0.8.26-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-0.8.26-cp310-none-win_amd64.whl (469.5 kB view details)

Uploaded CPython 3.10 Windows x86-64

pycrdt-0.8.26-cp310-none-win32.whl (445.9 kB view details)

Uploaded CPython 3.10 Windows x86

pycrdt-0.8.26-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.26-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pycrdt-0.8.26-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.26-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.26-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.26-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pycrdt-0.8.26-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-0.8.26-cp39-none-win_amd64.whl (469.9 kB view details)

Uploaded CPython 3.9 Windows x86-64

pycrdt-0.8.26-cp39-none-win32.whl (446.0 kB view details)

Uploaded CPython 3.9 Windows x86

pycrdt-0.8.26-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.26-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pycrdt-0.8.26-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.26-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.26-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.26-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pycrdt-0.8.26-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-0.8.26-cp38-none-win_amd64.whl (469.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

pycrdt-0.8.26-cp38-none-win32.whl (446.0 kB view details)

Uploaded CPython 3.8 Windows x86

pycrdt-0.8.26-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pycrdt-0.8.26-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pycrdt-0.8.26-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pycrdt-0.8.26-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.8.26-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pycrdt-0.8.26-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pycrdt-0.8.26-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-0.8.26.tar.gz.

File metadata

  • Download URL: pycrdt-0.8.26.tar.gz
  • Upload date:
  • Size: 29.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.26.tar.gz
Algorithm Hash digest
SHA256 a8daa8adad61c0f12a525bde30888a883659d6a8bdaf89c53629c127cbd61b7b
MD5 ec92140e1bd5fca3a6d93030e9ffd9dd
BLAKE2b-256 a2e1402ace6e620803fa4292b845bd4b7e4821c5967e2dbb306b991d4a4d138c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4acb250d69c5af9e648b87b33b33865e66e749002824a2ccbf1e437c00e82a59
MD5 f6e82cd99e87c3ba1ac5e2a678873868
BLAKE2b-256 2f2bcf1842dffa2eb9eda5aad750c2b1e23a49d7efca7cf255add5abcf196cb7

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 510fae8fb50d48bad2f52a41b32b5ffca05718c8ef5cac8652ef5c9d386c6ccf
MD5 de1dd93e946307ea6b8c8784a3e9e038
BLAKE2b-256 c7506d37fc6ef348886d5245c715c9f063c8fa4487ecc5348a8bd1a488753ca8

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 3e1ebefced7885e730f45db11b476ee0e0ffe4680f72fb85bf4da0e05893af67
MD5 8a30c56f0522f9d1fa1104b09b93e4b6
BLAKE2b-256 d28a15024759aed7230344f9b3806c10633c772aab209758068a05345295dede

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 bd85fc4d31e1eb8dde80935d41867a60c5dc4b6ccdf95e70ad5cf40165687f7f
MD5 40668ec76e3ded1f643733993755df24
BLAKE2b-256 41b1bddd15a6d4605828d4a7b857acb8fbea6f6a6d7b41a5c667a15153ae60a8

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 8d1881695656658370fce19ebd366642c4a240f4aea9e0c6c8635f5f98b56f6e
MD5 f1016cea166be6dc61584bc8cebe8e4d
BLAKE2b-256 5328aab2b9a7ba98382e440703e21bb956d4e1e2530e696228665462e90d551d

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 e15d0e784435e8d73fcc5a9741345173a647a409308ba8322bbc11ec6cd2a76e
MD5 4acf7c0db2401f9ad0b2d65044241907
BLAKE2b-256 71b767d471093e17dacbe9c97d09ff202bc96af97201713a587614f5fdd75fb2

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 9dbe40cc07764a7775a3d314635a4ebf0e4c0f07078d86667e1f7bf99175678c
MD5 f81f436fd6bbf0c0891c32c364814c74
BLAKE2b-256 c3e25f7180c1b06699fada9a9a119bb5d26dd4f7db9276d1ce47266c05c747cd

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1069bc803fde6a56eed2ec3dd9270607a95285e01195421c935ea247251ffc82
MD5 29dd9fbdea9788665768841c82f5b778
BLAKE2b-256 0fada96ad252a78f037d985d878cd5460105fd487f676ac40fbd21126a5e9cd5

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 d37e75a9d654704b1c70bdcf5ae42de56b36d79e49e98ae1df2357034d0dca0e
MD5 de3edb973c8b6e3bb008a05fc93ccb5b
BLAKE2b-256 3cb986cf177324ef15f60e8e54ed00a54c9eeb8ab84518d09aef8c7f76e59883

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 95070a45d506443aa09c225de7fae978803f8eeac568ef026329e51ff9d451a2
MD5 281655032f4ea1bb1d3459f513d1ad37
BLAKE2b-256 dab822c1b6250d5d3dc35a811c457caa6051a90ffdb89904e01e22fe88fb9d09

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 bd30bc546077b87a67aea15a6986d4a19c9ed15a5222fe921c1a3fc2f7484281
MD5 88a79a858060f9b9baa2c5386af7aa05
BLAKE2b-256 169e9c6ff7efbd150a4f7ca889091fa77c2c0ba7e2178b007ae11e244b7c273b

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 eb44d593e75601a83257db8a0ca0eb37af851f2172fb9cb7be87bb076aa718ea
MD5 e3e56171a899d2f331eb0992ef3c5f77
BLAKE2b-256 a1fc04eb08ba34f3a4936d16f86bd3a9cd0210fcb20596d5e8f8d2e2780749e7

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 bad0051f67958905538a71f04a90ecd884e5e63890c368220332b2804e044525
MD5 93ae4a17f9e2bbe786c7242a6657fd0c
BLAKE2b-256 33174d7a1ca2413473164f0fa8c2379daf4b4e1e9d7d8d82a44457c0cd4c0d8b

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 a8024aa6100831c83578975a32ea73b2003114fa0d47fb896bd9d3dffab0635e
MD5 fedbfaf80ee93f71f3f1c91840f0b319
BLAKE2b-256 6fd2e27ba1949b6eee836572e084a5999065b06c5bb7d53aa29c46991a4528dd

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp312-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.26-cp312-none-win_amd64.whl
  • Upload date:
  • Size: 466.4 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.26-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 74122de1daecf537784762db107b78a176ba5d8c167427f0c2b2c204d6a355ee
MD5 753c54cea9806ee36421fbea586cfee9
BLAKE2b-256 2d9c309dbb266ea70886e92b20c76b298cbad1a8076911522184360913ea59bf

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp312-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.26-cp312-none-win32.whl
  • Upload date:
  • Size: 445.9 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.26-cp312-none-win32.whl
Algorithm Hash digest
SHA256 c59925071c8fdd335f490a1fe9d507ae14e3aa6b7233c2ac84042d218c972a31
MD5 980607633c0cc4f327e2daee9137b449
BLAKE2b-256 9ba1664c89963587c0e52abb677ae32bc03610a17c6ed72bc7bea6b11ffaec5b

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9c9a67899e718ee01cc9d22c7c04807ce480bfdc966eb7802fe73718f4d9727e
MD5 b671ea2929c01af28e521594006ed45c
BLAKE2b-256 619d927c361c28360d94510b2e879adadfaccbbeb87ed7cb54e2d5d74f1e4451

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 b057e4f6dcfc4430f4f298a633e24e28071942ff31486c0496c9e72750a07dfe
MD5 7c0cb4c19dd40f19c472c6d914f0050c
BLAKE2b-256 88db5f839921408b37ebffa0607606329108dc41d7f2651cb41295219bcce068

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 cb0437940d7a949b02b89b356dd9afaa509703523c2272bb324bd4c28298128a
MD5 ce7f376e6e3af5e198922fd6834ad5f6
BLAKE2b-256 892b8a50d937e85b50534c0ef9d0b941f57dd6234c2a6042e144c9c63c15e3f6

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 42b8312d6a3b3e1449deca234410854fbd9d6e0d31b745942cd1ab7f32c8620e
MD5 93bd32505aded753718cce6ff81cae18
BLAKE2b-256 993153a7b7061ca38a9104b064215f70cb0f0325e796adaffd534ad44024625d

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 98f82fa9e2a9fb462a242ee975ddfeb7ec06415fcc829444247982ee33cc6d6d
MD5 75249b7b580292d9b3d053935a8013e2
BLAKE2b-256 86c025e36a4efefcb5dd15042aab422a12294a5615702089130132bd99266195

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 7dd088c09e55692a7e0b642ad4e31f3685da1846aa6cacf588576daaaa0af43b
MD5 412d6f6701132d003265491fdcf331d5
BLAKE2b-256 6fe036f5e415a0ef51e9c9f114eac638cd9b179adbb8c0b96cd1c75eff2074ee

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 ac399d65c0e0191c3fa008283ccf34efd7d8d4d332a74c3e3d5db4f17bca7475
MD5 5da5ad8602931fefc86451265dace7d5
BLAKE2b-256 c3bc36f9de4a58e595627401c045931aadb09cde9915607af1d26e2948275959

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.26-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 469.5 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.26-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 10b0f2f2a6208532aa71801c5a3c090ce320afb0d2f97bddb05b2ce468164f0b
MD5 a1fe31022f03fd0ea847cef2dbc136d7
BLAKE2b-256 7bdb5594486953449f9e5d2515d168c5ffefbc58f7dca54d63d679222904a248

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp311-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.26-cp311-none-win32.whl
  • Upload date:
  • Size: 445.9 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.26-cp311-none-win32.whl
Algorithm Hash digest
SHA256 09fff36a18ab777d56c818dfa6c11f27ff6903a260649c1e7528b82046b6a15d
MD5 6a204b55481f19c85da7621b93ac5ec3
BLAKE2b-256 7dbd07b327b11747f6fbdb5bc799a376a2ddc8b36b39f87aa362af29e55de788

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d87ad19ccc92e1f85609d59b2cf1d7113da85e5433b912f687f2a992e111524a
MD5 9393a849df057a06e2baeaefb57f0042
BLAKE2b-256 a44b80e79f137a07c9cfbbf1c600a056671fa3c4892fb5b279336bc67152e586

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 12f45657f0133c321778dd173743d77b80540f86d1d77d7e391e764a3625986d
MD5 effabd85ad8a80bac42112a50be48a13
BLAKE2b-256 f8f7202dc2c9bbe4d8e1feacccc483db6b0461025cbb038a01fba1c1a37667fc

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 4dd8d8d99463133e878f8ceb514a7b32f945be9e43b080e658b8f246e6d46ddb
MD5 bb815b7904451484e5f32949d4b0ab72
BLAKE2b-256 64d20b8f63d6f19fe1bdec513cbcc24958c909215d8f7009bd7504f2bec05976

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 1881f4f461ebe76de038c17a1063fe2c1489d9a69c388f23c73238053bbdc7f1
MD5 9f0309786713aaa4a9d903ccf5fec881
BLAKE2b-256 18ff6ea79ee93777de4c4e650da375c0b9a4557245a408f2476939df1dbb23e1

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cd965f3d6bdcbe5fd0777b02ce7dc6d1acca88a55da22842ef99d7a242675ab5
MD5 c70f1623ec0ab68691c996e2b111badc
BLAKE2b-256 d8fbba393199e9c364211984f68cf723bffbb362308b9fcb31655774aeae5be7

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 ba4dbe652d4bf39a7d950d8f21e5fa31d4db08afc8cd81755e091532d25558c8
MD5 e02713d0d5034d16fc680b1e76a18a8b
BLAKE2b-256 df130cf94e2d405fcd7dce5fb0dc8913dc4b736a6166c381cab879b21ec29b88

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 e6f676e2064b0bb34db1aa9283bd59a30f3330fd94f057c45fa8a810df66c76e
MD5 7e1de87260722fa3ff3992d35e46288f
BLAKE2b-256 044cfb224da50e5c510337fc81356c10219ccf9363b15dbaed336980888047f2

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp310-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.26-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 469.5 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.26-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 57162dd2ab03085c7637a4b1c8ca49df15e5a9578b85be3c7452504b9c939181
MD5 3d07c31e4903c0e81287218d250dbf49
BLAKE2b-256 0f6b8284b7686a1cd8a449884d750f6e33d712c3ee29db82f99483fec139d7d1

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp310-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.26-cp310-none-win32.whl
  • Upload date:
  • Size: 445.9 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.26-cp310-none-win32.whl
Algorithm Hash digest
SHA256 17ae621938e71419f0dd297982c6014096f9ccb5c4fa0ed9154d04bae4cd0364
MD5 7c2b0008a5c56bb22a8de99639c0a59e
BLAKE2b-256 b9c18a76162942823b70558066a98e6c52ae797a1ea61275ad06727a9599df7f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3a4f27f6116669088cc1f9bd3af01f188f006a1c8aab21829e6412b1d2550da5
MD5 46a28e2173ac608eafecf3cc0a32fe47
BLAKE2b-256 9c0958d704b12f2ef1e31bc13ea896ba8efefe2a645a78fb94f90b88381141c7

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 1ce98015a1feddee06275e687f5a1c056fe7656dd149ee5d5e828cce81d56e6a
MD5 8ee52aad77273a42cd28cd54c261b30f
BLAKE2b-256 ad1a374b54c690d3ea7bc0e1f44e203dca324b1011119f64df08a60621032a23

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 8172f20ebddb6071a375a2ef971e864a421837031d1204425beabf72d0481f97
MD5 6ea8b7e45e9a3d9f970884ca33ff10a6
BLAKE2b-256 a9f81c729897fe0cb86bdfc0b656ca5a77fedea4913714b64ccf2f513eff15f9

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 6f35a02e5c60aaa172016f11f9d453c45566627f59b7237de13d62a62901ee4b
MD5 4d00317894e2874033d47ba4dfc99e70
BLAKE2b-256 0de90386607ad0d88e645d3b7a7fc527dacfb1341a55837c598b9bc645faf256

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 598ebe98eec23764dd4c5aa9eca7b7785e7db6f03080abe32410eea463a497e3
MD5 193337582a753fa339c6e1158bac5600
BLAKE2b-256 78c4cc15a92e56a55ab7df402046d09d4efa3ce5b80967e12b56209b64fd6f90

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 e89ed856a2d8790f3f26889366840452819d46b222821345e84b53cf2cfb0aef
MD5 415bface34cad732a71f6ed81b06f943
BLAKE2b-256 742f9ef73a7946b50a2f055af619126b15705b2bc248bd21790b5413dcd48c96

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 3221099204736eb88ab277e62ecb25aaebe666c2108103261ff3d8e433710bfa
MD5 918ba6cb39c6f48767bbe867c04969e8
BLAKE2b-256 4c25649f2d9e08ed669652feeb364d0a8198519a321ccf98f711215d578a9317

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.26-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 469.9 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.26-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 535cb4f72c1164c845f41b94db53063b631fa872e36ffa866ccc5efa231fae3b
MD5 db420659570b31da52e64810f4d0cfe0
BLAKE2b-256 5462318daf915b9c780a9597edadb1bb9146bcf97f7e662cc0462b8aeaf718c4

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp39-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.26-cp39-none-win32.whl
  • Upload date:
  • Size: 446.0 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.26-cp39-none-win32.whl
Algorithm Hash digest
SHA256 ba5b4bfa67b7c4c9d8f67f71eab19d12a1d5809b629e5053c8b3f7e8916899d0
MD5 a0a4e599172c2cdfa8af627e29f2956b
BLAKE2b-256 ee9d395a0cdfa97c1254f71b74046db38099f398e6d93e843c01a83ad90a0326

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 83d1570e75240a1a42092e4376358c6b3a789cae5995331ba2c25cb173136504
MD5 7c4dd6261a110400029d4c0052dec913
BLAKE2b-256 4d8f35e3c39cc7f5c5f7ec44414a2eccc5a78213f43f090c2ee3b92a81d11b3d

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 46ded4d4c1f868cd3bb91e8e3c61143be9d3d983de2ae2dfc5ccc0994dfb44cf
MD5 07532332c4155de212192a374ac96536
BLAKE2b-256 906e46a4b59645af7b7bd738c1980242eda10c60db26e3eaededec547808edba

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 28cd17888e0f1fb7e44f13be940f837f61fff2461b4681e76cc6f83c529d6122
MD5 55449a2c0e62c1be07ee6e2fb269b443
BLAKE2b-256 615e2dc48b3136308bdf99f6bb809c0e5b65df6c4cb1a5313c76248042e9b1bd

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 a21b81b72d375a9763290612e8a1d3607bdb609057d0908938eeadf5e554dfe1
MD5 216f9f22067336a77bfad867ee87e9d8
BLAKE2b-256 386cdde7c58b48bd47c2eba8f35c798dd4a506175009746275f73a8e1d03d715

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d7e2746d538ca58497f8edcfb9e3698bdf1f56fa6817806b469db9684e5d4c49
MD5 355c2e01494cc20e0efceb68b89ad78e
BLAKE2b-256 8cc11a93fb9a828712ec2d82fc1d7092889ea9cd121653be363e9ce8282ab02c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c0fe3a1ce9f5c7d59130cc22e6034a3834b57993b3f6024c964eb08035e7a291
MD5 4711a30bce836dbb7c5bc7d82aba7e00
BLAKE2b-256 2f21034d09f46b3eeb5e92bfa786d234b7bbfe2ead5b979636c71d78894fac93

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 2283874b13c47f8679148345d86e834e0ad4d4df7619c585188ad4a2dfb35b89
MD5 e0f051cac4f9d5fd435f336042fb3c46
BLAKE2b-256 05d159b021a7505e1cdcb8c14bf27d3dc8859ed8bc9e83233ba3cb355d96f4a1

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.8.26-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 469.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.26-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 e9feaa210f49b8cef4ea8e4d1126970fc19f900c2ac3b61029d3de4c2723f326
MD5 872b231f6dcdb5b6d4a93b08aa082cf2
BLAKE2b-256 93d5d7c03193f2c0f4117f06e2eaf2f4356cf4c7166fc4abc18a70ae96932abc

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp38-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.8.26-cp38-none-win32.whl
  • Upload date:
  • Size: 446.0 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for pycrdt-0.8.26-cp38-none-win32.whl
Algorithm Hash digest
SHA256 f9ae894f3c9e94c33f415949e821559b0403618e525a1589f343b0eebdd4619d
MD5 5302a58e54c2639d8c44a2de18dd4c5b
BLAKE2b-256 b7ee911ac609e2f8c1dfeb079e17893f16e19033d81e1ca5620951535ef918c0

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3b063f2af69b7e76b30064961353085cc46fd2041d4e11634773edb3d89ef228
MD5 ebd7d9c5fcac9b74f52608e83d38fadb
BLAKE2b-256 44ee80d5d54ec97337a8e8678be82588eb56d36d4826cfac4791705187560162

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 37f1bebb31d6fa9f10406e4a102879726c687666d26d823880bb5b499db2967a
MD5 85397a5f2ee90b221f8eff4de1e123a8
BLAKE2b-256 bff0cf531258130eed3417ac1536b339b921c43d94326d6eb3fa80f04970bffb

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 ba84b05a78e0af14388da0a1bd61d697ecd4b5fe8c342b7ff5d82c1dcf63781a
MD5 82b57dee435167260635f0a984da08c6
BLAKE2b-256 f7931fcdbbf6d9bac133ed09ed03601c786b0419581036903f53db1eb7fcdf6f

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 abe03f215c4df30e414d7c76da40177285959e2ddcf395fbdfc4b8782d0f609a
MD5 66d1803b38edaaec9143defb84a002a9
BLAKE2b-256 1c0f5cebf8cd82e203b10220e64ce11539c50fa011574f64d3b03dbe1d3ced97

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4461ba7bd5e0a287a84d06dabc02a9276b2fac2e7d7294d9f28f38c0cbc52b2d
MD5 9257c94ec9ad3decf24da48265bfce4a
BLAKE2b-256 19447185a3c109f7c9eda2436ac42fe37470102b8a825df5c5159e4171cf845c

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 a8df69ad94e288ca8921c602902f9976d7eaa1625bf142abf9e317a30d77048c
MD5 313dadff8e34293800b34c55b7e33607
BLAKE2b-256 329817431567bfeb84d60a8bd889511757acee06abad1c28ff3f4aeb740a0775

See more details on using hashes here.

File details

Details for the file pycrdt-0.8.26-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.8.26-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 1ab4ff38f4a421ca53a678231eadefb1a04bb46e858f3e6c3bb75b0eb5c594a8
MD5 1cc08d48fc85b05ab43e175937f9f35b
BLAKE2b-256 031b02233d11965010a989567bb3a87bbe33fbbc5ed63991a9cda64969d0f9b8

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