Skip to main content

Python bindings for Yrs

Project description

Build Status Code Coverage

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-0.9.2.tar.gz (31.8 kB view details)

Uploaded Source

Built Distributions

pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (738.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (882.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (805.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (748.5 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (742.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl (786.4 kB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.9.2-pp310-pypy310_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-0.9.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (740.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (883.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (806.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (751.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (743.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (787.2 kB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.9.2-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-0.9.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (740.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (883.2 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (806.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (751.7 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (743.5 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (787.5 kB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.9.2-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-0.9.2-cp312-none-win_amd64.whl (519.9 kB view details)

Uploaded CPython 3.12 Windows x86-64

pycrdt-0.9.2-cp312-none-win32.whl (501.6 kB view details)

Uploaded CPython 3.12 Windows x86

pycrdt-0.9.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (735.4 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pycrdt-0.9.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (870.0 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pycrdt-0.9.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (801.7 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (739.8 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (736.0 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pycrdt-0.9.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (783.1 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pycrdt-0.9.2-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-0.9.2-cp311-none-win_amd64.whl (532.8 kB view details)

Uploaded CPython 3.11 Windows x86-64

pycrdt-0.9.2-cp311-none-win32.whl (503.4 kB view details)

Uploaded CPython 3.11 Windows x86

pycrdt-0.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (740.1 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pycrdt-0.9.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (881.6 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pycrdt-0.9.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (805.3 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (747.9 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (739.2 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pycrdt-0.9.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (784.1 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pycrdt-0.9.2-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-0.9.2-cp310-none-win_amd64.whl (532.6 kB view details)

Uploaded CPython 3.10 Windows x86-64

pycrdt-0.9.2-cp310-none-win32.whl (503.5 kB view details)

Uploaded CPython 3.10 Windows x86

pycrdt-0.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (740.3 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pycrdt-0.9.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (882.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pycrdt-0.9.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (805.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (747.8 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (739.5 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pycrdt-0.9.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (784.0 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pycrdt-0.9.2-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-0.9.2-cp39-none-win_amd64.whl (533.1 kB view details)

Uploaded CPython 3.9 Windows x86-64

pycrdt-0.9.2-cp39-none-win32.whl (503.9 kB view details)

Uploaded CPython 3.9 Windows x86

pycrdt-0.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (740.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pycrdt-0.9.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (883.1 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pycrdt-0.9.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (805.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (749.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (740.3 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pycrdt-0.9.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (784.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pycrdt-0.9.2-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-0.9.2-cp38-none-win_amd64.whl (532.3 kB view details)

Uploaded CPython 3.8 Windows x86-64

pycrdt-0.9.2-cp38-none-win32.whl (503.8 kB view details)

Uploaded CPython 3.8 Windows x86

pycrdt-0.9.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (740.5 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pycrdt-0.9.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (882.8 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pycrdt-0.9.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (805.2 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pycrdt-0.9.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (749.1 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.9.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (739.6 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pycrdt-0.9.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (784.6 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pycrdt-0.9.2-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-0.9.2.tar.gz.

File metadata

  • Download URL: pycrdt-0.9.2.tar.gz
  • Upload date:
  • Size: 31.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for pycrdt-0.9.2.tar.gz
Algorithm Hash digest
SHA256 0dff18979ef080ae4589727bc9eaff64b6da3f11c16c86c677d42136ed65fec2
MD5 2396a156fbd38b891f4af59225cf4228
BLAKE2b-256 2783e8605045b87d4c2aa55a93f3ffd61a428bb92c0ac02e6efe41b8a75e00fe

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7a17891a1758fd634c7a4cdeb47fa49027c5b25df6f896bd98c945a1a7530a1f
MD5 78943b89bd4846ae376323aab9f55f46
BLAKE2b-256 4e973b93b37d8ac2ef13961e56d931bdd650d714f134a5d346f9a0312b86fabf

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 3034e8a07231099076c088dc32a1a8c2d908b8d9545baffe00a5aa966c89d1d8
MD5 3f63d9fee058ba51e69229290521f68e
BLAKE2b-256 ce57b7d32f5d62cd68fb85ea31ccb3217fae531e133521e0b8281649bafcba18

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 dfd234cc803be59a55b96977530c4d1e751e5e7999cbebaa307821c149d901b4
MD5 b2e3266d292983e83c8a223622bf1ae2
BLAKE2b-256 b1b8091eb21cac2ba901e06170593ca0eee2d1d2ec2c35fd6ec68c0b387bc6ea

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 94ff0a0865d142c761c75e8ab6acb82739dc256a5da59fcd3214c0fc0ba0ce2a
MD5 6109bf2814ae73ff416ab4d41b9dc147
BLAKE2b-256 b0914090418575e1e8e82ea066d1a29aecf25e77d0dd73a5368103d513a3523f

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 907a9051e8d4cade73ed023e269c7c7e92d7a874b09fed46deaca7bc425c0446
MD5 303198968ecef7c6c0396d5b32cce948
BLAKE2b-256 3a91d0af50b85617e7c2b597ac00a2247fd1ff4be7e4e3c2c45b8c9b0ff6750d

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 731f2b52dbbf81e496a47fb6850ec788dd8c443e9ab59282aebbf59d5858bcd8
MD5 1ebf8c9a805825b977cbd84312921bc5
BLAKE2b-256 6b9c8c19d3c8a2abf5015c7962bd65a576b337478a08d83a64e0ad8465fea9fb

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp310-pypy310_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp310-pypy310_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 d90d73c70f91d6aae80a35ecc2a5343fde739c9e23270f775c31a8fdc38136a4
MD5 25700bac40f073d989aa4d6c20f02ac7
BLAKE2b-256 f5dfdc3aa9fe33cd842f5213dbf1721ca680effa5738d71883118ada9a3b3040

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 598b9308015cf79ab80c996ae2e83f67ad4e84344442e224c39c395d0b31b4b3
MD5 0f74e25fabada520b04e00ff6ea0bd4e
BLAKE2b-256 5e3cf342f06440d8bbf77cf3c9357902571dcac9be155574be781c31454d8244

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 53f442f4f28361887e1d1d08fb07a0f8a014bafb2f533502985964ee9e31efcc
MD5 1b94571e4cd58b02f8257e701421dffa
BLAKE2b-256 5f0a3e34ed0251581b48f2556f91accaba16640d8e0379518e69beb0a0015830

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 fff22ac7392aa7a647282dd207d92722fd084f625900b9d0166d2e2438b47a15
MD5 5b7529030e6756e931c6ac15e3eff96b
BLAKE2b-256 bdd87d12c213a225f28d3a875afd55c3cf4079b8fb9beed5f0adfed8384cc55e

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 59e2b73f0c5fd2ddf49b6026064cf6059d5dfc251798603f0085c3b327a7dd51
MD5 4dc502e6aade3adaf73fab83cc87fd00
BLAKE2b-256 f3d33dec143f95aefe1d46fd3594d1f189ebd9729e7874db390f765d00fb1996

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4ec9b3803c0ee2b175f3f7e59005fb43bf01c6d2d8c330e93be7e0e764920a31
MD5 dc549715bb284a83e910b51a295c1ee2
BLAKE2b-256 5db15af8629ecd5a23c722320f1378539bde0f1215ba9d90f3f7d9c10fc746b2

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 b57463892293ef1e03afe19515f5ffa8d9571b26ea31b49174089d3b084d0b68
MD5 012144a6d9d802213886c9004cdf37c0
BLAKE2b-256 22d4f2d4c40f7470581ec71e134078e1de253f8fc6248071c29837d31b18cdf0

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 200078650d3617b29b9b009e4497cca21ec9d6b3da63b4ac1007cf65f2ed747d
MD5 96d55ce2001ff68b7eaf8551dd027f91
BLAKE2b-256 523e522cef88e290ce06e7fd9e8fa74c9f9227767cb82f8ac6cfb00e6ea2f226

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c9d7ee2c84fb0c1145e6995c1399309a76395c1cd222e7b13884939e384dd35a
MD5 9deb4393edc908b73c6e3d822185244d
BLAKE2b-256 7f6ef55ef02b6361741701156b3a48c644f06a95bfcf9ca8a636bdd1508dfb5b

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 421cec323fad615f4a0b1fa919cdaea568ac1ba343822640fa10cee43474e980
MD5 b041530b8443e5889aec6661947c2d29
BLAKE2b-256 9128355199a2e2692791471e7b8a3a03e7f58a67e12c96ac700cce8a4f1b527d

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 fc5741ab724fc725fc8e41c641652316fd117bf71225e3273e26201e9aed62b4
MD5 ce3808a7c10d6ffd17ca695c809697d4
BLAKE2b-256 54976b3fec1ea9037601c64aed770a540b913e2c60683a3958c43a30da5fa41e

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 61d6ec0ba46b103329e2fbe354e71b654849ba3a3c9e742413f153176b207cfa
MD5 8d058179cb8b1142ab2499a931fb0197
BLAKE2b-256 eea7113ea8b9ab8b7bf99d57bce172a1a798039169422d9e4722d920bc072ff9

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7d6e902fbc01c46e8b9374b352f76d810a1429cf51dc3e56f73f469e1afd03ed
MD5 39e4e47814f5faca1bb3621a5cf31264
BLAKE2b-256 cff617059dee732d827f2ab0805183332ed715db1877ac78ee09f5cb6c73e090

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 e87e7c42903284e74a843a455854e0e9538c56fee4ec5ec72d457f7a335f0d21
MD5 75773050a5f4af211bb1b78bcbb46114
BLAKE2b-256 fa62492687e00555bfa8405ecfcc909a547a711dcdff6df0cff3265aa59d6924

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 b1a25c96c43fbd4b656a521c6806c759735258e6c376d8934b66328032b62af6
MD5 73b47ce16a12d6aa84254e468d4fe955
BLAKE2b-256 a2b2825e4efc18304511963dd8c9620ae14794a8c3d3b61d166b7560668457ef

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp312-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.9.2-cp312-none-win_amd64.whl
  • Upload date:
  • Size: 519.9 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for pycrdt-0.9.2-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 4c4fc3e87971f4209d0a102459fc8309d6eb99167425e853cbab63a410ee8c64
MD5 d04921bc750d5317b4f76fc3c2871271
BLAKE2b-256 4e9703a9e99c03959e27b25a33c35ce4bf3b7b0d92e09679d76d4214dcd7db4a

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp312-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.9.2-cp312-none-win32.whl
  • Upload date:
  • Size: 501.6 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for pycrdt-0.9.2-cp312-none-win32.whl
Algorithm Hash digest
SHA256 8b37e9859fe8059dfb8c51643ed2b6716c03f1b250c61f4242445410a11b89b3
MD5 7324da5a737f16ddfd65102d24f81475
BLAKE2b-256 d31ca5bd43698c3be45110af4c4e471455c4f8f1fd34a5635c94fa4cc4ea9acd

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6d3de5e5ea78a7d974b9d9153f72727b069ade7cca5e01c2e02db46148005cba
MD5 c78c8d626c9586632228b038118d55ab
BLAKE2b-256 3f33c12b1a0445ac9e28cbd1a895ed11b8810225d0ee9968408ca053bc83fe62

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 99ad4d743f92997336fabba1ec947ab3abbb990cbca8d66bf2c27269c7d332a1
MD5 5bf4cbfa345f7c025c540e2d7c242bfe
BLAKE2b-256 f87df9562a1a4ac16ab094d05de2c2793986b439b4822678293dff9f20b44ac6

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 3fc39a43916b8088c815971b779b7f8bfd736cbf871727994020fb60068767ba
MD5 d478ca79c98cdd00a238925de2e12b4a
BLAKE2b-256 922b40c08b2c85e667f6de5e745eab53843221c5a948433eabb35afb6dc018fc

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 031a8994b1e4a1b32a9aa0ad883401d8ab9cefddfd0bf0d761f3bc3b6f0eb88b
MD5 28ec9136657dba5963bd33d03db5c16f
BLAKE2b-256 85cab5f76bf7d70f3b825e9a1fc146492435e284b035f238e3fce0d6a7e27e43

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d100f81ad7daad88e748a2035d3e386c60547c3390289fa9591150e8b50b523c
MD5 c5353785b52b8320c5d92ba2282fe116
BLAKE2b-256 6a4a9140e4eb07e5544adc53707a10612d4b6478be982a1d7905a8b3cfa145c0

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c96769206568cd738d1cf47c647fd9051640c7e2812293dff2b9a19643b409a2
MD5 070fca255b531a7e3423785452dd3d76
BLAKE2b-256 c37dd3f6405c5a4dae121a144a726da4693c047f42909036aa346beb3f849533

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 093c03680e33f4b63ece7a00ce72cb4faf13e65892fa60059817a0b86c51ab94
MD5 3b8e223bf616930c2b365963e36cc9ff
BLAKE2b-256 b5bc29d65da2a022bf038bd8599f088b024fbce6ce528f0005d5f4804aa662ce

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.9.2-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 532.8 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for pycrdt-0.9.2-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 50bb7b832f33cb43ea3648efc3fd17cd39e9ed863bea252b1863e3e4f1127dab
MD5 15e8c2ac54cf78203c32349fd851f50a
BLAKE2b-256 8b755a2384b7a212ddef544110333c63aeb50a21c491458a75cb4ae8dc62821d

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp311-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.9.2-cp311-none-win32.whl
  • Upload date:
  • Size: 503.4 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for pycrdt-0.9.2-cp311-none-win32.whl
Algorithm Hash digest
SHA256 105c406905b89005b0b01818f5a5bb463041c0c7fa646e55ace047514bbdb11f
MD5 d21628efd01d314e46e2c7313d270957
BLAKE2b-256 0d339d0bada51fb89284b48fc29bf595d028cd8a8968b388e94df73ae365577c

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 12a26c209e830fcf72c0430c036978fca87021f78a96512a2e8c99660c2dd2f6
MD5 d420418be12a2b6a07f919711797feb8
BLAKE2b-256 055ddf018c5f429f591cc1fc44c2f3b5ba25fbab1a6d1d0b1766fea8e39ef095

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 7009b5c3b7a51eaf8bb5da093f69b6afdbd09e6ce06095d57263eb82cba7fd06
MD5 44be052c9e2db7bc3648d66ba4629ce8
BLAKE2b-256 64578a643b705c9c8e7240fb17d61daea9cc72704c4b6bf5547ef2d63fc600ec

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 0242e5942a9ad4b803bd62fb01cbb7c501a603014f7a9d3375b6cb03e476a739
MD5 746c42f36b00b12717a5d5f5a6030699
BLAKE2b-256 92ad1dbcacedc0f4e6dc56d5f8780d202b3776cdc8a005fe80d948e598a8f403

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 7c65eb32c8a146487f3b21adf951cd20ebb1ae1157cded540b0c075804c2ca04
MD5 e8cb2fedfcedd158f0672803ebc5cbe6
BLAKE2b-256 e85d1bd0a63809f7d40ce4a045f61a80d0a5357b031b7ceed434aeb159278303

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5c167d427503cccd00b6623d2cc2ce81b293420f7c9a536ced67b9b91981d73f
MD5 9949dce4ee15e1e3274569c01b550d6d
BLAKE2b-256 31d90d89aca62922cf1e9d62cb9171b162725c9d19c6da4c5ead00e4b3e69861

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 526578ea4df12b4108dc2c87b0a84e0c9e4cd157003a09b0178b72c1f4e0a5a1
MD5 1bc912cb293c39496e159a854b02ac37
BLAKE2b-256 601877dbcad92ce35d5c659a48cc4c9810bae9b5147f20c6f1f4c489ce7048e5

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 b9b9f193c04ee2efedffc8a77360577b0f361ba3909523a1aaaf2d4111942712
MD5 b491aa79e78477ebf4780353c7afb79a
BLAKE2b-256 a9800bcb95dc67842487f02b3e8cfd1f6edf78750988350b0696e42501eae1c0

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp310-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.9.2-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 532.6 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for pycrdt-0.9.2-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 6de049e29cb58bd9448d017f3410f04c2f42c23c7a49fd8caeec196b54b35b29
MD5 37b88adc739b2e691c9599a3447f4ec0
BLAKE2b-256 66f513d78b05ddf4e565a91cfff58d524a13127010022d8d1f7e7bf2ce2a61e0

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp310-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.9.2-cp310-none-win32.whl
  • Upload date:
  • Size: 503.5 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for pycrdt-0.9.2-cp310-none-win32.whl
Algorithm Hash digest
SHA256 d8a625c4f4c4933dded4bea76412de9129e237a27de285d4b76b7959d40a0f77
MD5 a36ab3328976ba92a72577ec0bac801d
BLAKE2b-256 fdf4a5e48424cc62aceb13f6dffe0e8cf87a1f81fc22d5de8a28defe8140daa5

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a90decbf00fd9ed5813e9bed86bf05ea5aa04a573685402e26f61458cbf29f19
MD5 c175b30b5f520b2d622f91c5baf5b394
BLAKE2b-256 b9d86ab032456f54abaab20aa5260ab36138e7815e768670c887fadcaffaf5b7

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 992756ef6e86e188c99d36de36179d8b9a9b2c0596aefa25be27bf658f6eea4c
MD5 aef736f9cd1f47377f33cfb5511e2a85
BLAKE2b-256 8a0af1a29534009524ad0eed8e0474ba1795464d90cd2604b7242e093ac76e5b

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 98873e7a12808545d38d8e58fe422df4078ca168bdb683eefead26a9ed3758bf
MD5 25956d34a049f7b261233c27bf84ac57
BLAKE2b-256 f2bb99099652dd7346b61be99ef157a9e306caa8577c43282d4cd0bf933433aa

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 6b0b6cfa6d9c52e4a03e70b54196312a2e2cd7ab3cb1e3879fb4abd6ec287b37
MD5 4530308b4a0f38febc17a9010c06ed4c
BLAKE2b-256 74c44dc67a6f9049c705a2cd74376e8f05f0477bf6afcdace3c91875d21a0c8d

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0da6baef61e10f2655ea292b2181336f80bb69c36fad4831f023cd6b5c8f2dce
MD5 788c60c7961fdfc5c5f63b7d53e73d0e
BLAKE2b-256 0fb02056b1e94f224554e71753a77f6bd7f858c96064cf4e267163ce6e150566

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 f496331b0353b23c978c6389c5b3169c922bf90d36cbd2f42d88bc516747f443
MD5 26d3c5627d417631554106f6646b2a49
BLAKE2b-256 1c2345d8374393abf254c7e71fb6eab3939f70a430bdf40dc3f1bc15de9b20e6

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 b0b8152f81581b7d228869d713a88404c4d28d581a7a2d68937ee690f469c4ae
MD5 d9013a36cb5df6fa59771a9e396e07a5
BLAKE2b-256 957129d67f024d6becef55cc17c1526ae019d48523b0fec05dcded2650113ac2

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.9.2-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 533.1 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for pycrdt-0.9.2-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 1985bc4c6f44c58ef50f6d704d7219a71839f9fae7738a8fdb9d4c17288446b2
MD5 48fcc2f0bbfed93eb18a55ea22ce71b4
BLAKE2b-256 befd585d51156c73e0be2d5d50c95e13ca27243e0cab9495f249b2d16d82f858

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp39-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.9.2-cp39-none-win32.whl
  • Upload date:
  • Size: 503.9 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for pycrdt-0.9.2-cp39-none-win32.whl
Algorithm Hash digest
SHA256 afff872e603dc900d9aba8f61beb38c95d4c59ceddfb4128e1f5ba1348b4aaae
MD5 2e863bf22b2351a5efbd2389842e0f7e
BLAKE2b-256 ddef8155eeb51b94cfa7b04534f33a542f3eac931075191daffe9e415b1be819

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dd2a75158abe810957263e90c1b8a86b72ef271cca334a2a7981c143d2b54ad3
MD5 acdf457b278d121f20f30d4dc4416617
BLAKE2b-256 f79b4a18869bd0e88f491a9af028ea7f95be15a2b993a0ea205b96ffdc94395f

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 a5cb1bd5446844958c9d9c6b2a2ed656b6ec6db709fd8791312e433ff664e895
MD5 0ecb0639b39b8b2141fc7f8ff1c11ae7
BLAKE2b-256 1783892ab4615b0563aabc39c5463c17f5f5e9ce446ad07449a878f1b5159131

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 8bf68e8247b69552bf9616c50b57c7134528d8d9cbe7f570ae7830f849e02d5e
MD5 5b7e95eea741a4d8ec5ca4ccceb9e0e5
BLAKE2b-256 57c885e41ff43219897c4849581a936b8f949eba52dd7fd952c9b87587df9685

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 715cf85ad5148ffe47aca855dd06db70c73e87429d0e17bf777beb99d29f36e1
MD5 eea24bb2f3f77473fd38f661011e8b80
BLAKE2b-256 1bbad83601a2d60701eaa6b869316777c0382c3a75586ba0b73ee5ce84f67552

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9c8f0b0e26c6bc77d473289eb5f1f0fbd009043db0c07514b2a4311591820a62
MD5 d58c8396f19746f17c4cceec81652af8
BLAKE2b-256 d17822725149779af7b92bab0dfe1ec4f0c843922bcec1db4d56aaefc53d1a30

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c6856804a0929eff4175395089b4a014b69912699b435bc1ee1e4c8a4c5ff899
MD5 dd39f1c2e95423162fb77cf012247771
BLAKE2b-256 b9bee3b1d41ad6c9610b900e7b596bc3f60982d489c402316304c8c2521605dd

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 8772db5a6eb00f5a6b8e9b9961eb07b4faef10ce01be6b800ceb943d241821d1
MD5 65b65087e800e8c069a92fc315a06da0
BLAKE2b-256 3956cf4003eef16cd6c615ac55dee0842a5a5b87d2f9e65f804192c8ec9fd7a3

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.9.2-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 532.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for pycrdt-0.9.2-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 99fd0cbbcde90a30e5ecaeb9c154b9e7657f12ebd5e3523f54c7150236fe43f8
MD5 f9704cbe8bf3eea0f1cc76d4b61348c5
BLAKE2b-256 9897fc84781afb73ca405b63ce8927147fb845687fdf03c02de3f4ba9ec4118b

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp38-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.9.2-cp38-none-win32.whl
  • Upload date:
  • Size: 503.8 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for pycrdt-0.9.2-cp38-none-win32.whl
Algorithm Hash digest
SHA256 b421309c23eee68ae18d53f3764047dc1c8047f29942d62cbcd2e15505d3dfcc
MD5 a1acc114131d6b3ed47321d07c5bf01b
BLAKE2b-256 6d980e16d2c4a1514741d6f4edfb4afe1cff8c8a8453f1228438028eff918b03

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 711cb96b73c459b708ee7719250cbfc3afc97491f47b1bf5ef326ffc2fa60d49
MD5 a384cc79386abfcaa0ab504f90000d20
BLAKE2b-256 856c12153acce7c9996325970fa195effe2d613590d8cc5b837c5bdfe9bc24c8

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 055ad5c8aed14040b65d6666c0039346abb7559e52d3b4253e0231eb69befd84
MD5 73cd0600a9c77b867ec4db2e9b573ac1
BLAKE2b-256 8f7d18eba26d2bc4c8777f4e3480f5fc799b0beb8e1e7360600705d94c087dc9

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 b2e8ff11af06ae7d747ca5a993090d60a39e42b79369bb5b631c922a3f8e40a3
MD5 eac7dded6bf4ee55e24405095d4493be
BLAKE2b-256 135980cbdb17be7112ced6cec4190f8be9b9bba825da5ec01231bdbc10c97f4f

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 fdc18d387e0c43248ca9b08b9f292edbf539b5fd5054d9cf56f2b91b1b144ee0
MD5 133a5bbb2b5795faa26f01fde915369a
BLAKE2b-256 d1f55c3be45c7cdff76eb80c39c486878c33d1f85a02ecfeb072e7b76d917007

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 58655bbf7bfba92aeb1b6760fd0fbb860ceb7e541e7cde307db2a494d6b4cc65
MD5 728b8b80a584f0d94580d5ab4d0bb482
BLAKE2b-256 f4a88a518a5669cb56fa9e33e4f85a1d238a1b0dcacde188f10176991f8427d8

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 766013b7b6ca62be3b537cbc3f7bd257fbc5ad0c82fca2a516b460383ef0db5d
MD5 85e1dfc534d51c466f10edf8ba620268
BLAKE2b-256 457428ddfeaa8215b7a56d108b0cd8dba791b40b738aea25f2a434a8d592a198

See more details on using hashes here.

File details

Details for the file pycrdt-0.9.2-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.9.2-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 54fdf889253493ce834b5b33e6a498e64fd8a2c056c65cf95fa320316c2b6e7e
MD5 bd405a8056a7f3ef9353d22bb1c4ec70
BLAKE2b-256 79e0210464cac259ed15781397bd5319fbbc71d830ec767adcc04e9cb55eaad4

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