Skip to main content

Python bindings for Yrs

Project description

Build Status Code style: black

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-0.4.3.tar.gz (24.6 kB view details)

Uploaded Source

Built Distributions

pycrdt-0.4.3-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-0.4.3-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.4.3-pp39-pypy39_pp73-macosx_10_12_x86_64.whl (650.7 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

pycrdt-0.4.3-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-0.4.3-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-0.4.3-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.4.3-pp38-pypy38_pp73-macosx_10_12_x86_64.whl (651.0 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

pycrdt-0.4.3-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-0.4.3-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-0.4.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pycrdt-0.4.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.3-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pycrdt-0.4.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pycrdt-0.4.3-cp312-cp312-macosx_10_12_x86_64.whl (648.2 kB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

pycrdt-0.4.3-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-0.4.3-cp311-none-win_amd64.whl (474.6 kB view details)

Uploaded CPython 3.11 Windows x86-64

pycrdt-0.4.3-cp311-none-win32.whl (447.7 kB view details)

Uploaded CPython 3.11 Windows x86

pycrdt-0.4.3-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-0.4.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pycrdt-0.4.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.3-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pycrdt-0.4.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pycrdt-0.4.3-cp311-cp311-macosx_10_12_x86_64.whl (650.1 kB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

pycrdt-0.4.3-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-0.4.3-cp310-none-win_amd64.whl (474.6 kB view details)

Uploaded CPython 3.10 Windows x86-64

pycrdt-0.4.3-cp310-none-win32.whl (447.8 kB view details)

Uploaded CPython 3.10 Windows x86

pycrdt-0.4.3-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-0.4.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pycrdt-0.4.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.3-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pycrdt-0.4.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pycrdt-0.4.3-cp310-cp310-macosx_10_12_x86_64.whl (650.1 kB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

pycrdt-0.4.3-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-0.4.3-cp39-none-win_amd64.whl (475.1 kB view details)

Uploaded CPython 3.9 Windows x86-64

pycrdt-0.4.3-cp39-none-win32.whl (447.1 kB view details)

Uploaded CPython 3.9 Windows x86

pycrdt-0.4.3-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-0.4.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pycrdt-0.4.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.3-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pycrdt-0.4.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pycrdt-0.4.3-cp39-cp39-macosx_10_12_x86_64.whl (649.6 kB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

pycrdt-0.4.3-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-0.4.3-cp38-none-win_amd64.whl (475.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

pycrdt-0.4.3-cp38-none-win32.whl (447.5 kB view details)

Uploaded CPython 3.8 Windows x86

pycrdt-0.4.3-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-0.4.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pycrdt-0.4.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.3-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pycrdt-0.4.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pycrdt-0.4.3-cp38-cp38-macosx_10_12_x86_64.whl (649.9 kB view details)

Uploaded CPython 3.8 macOS 10.12+ x86-64

pycrdt-0.4.3-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

pycrdt-0.4.3-cp37-none-win_amd64.whl (475.0 kB view details)

Uploaded CPython 3.7 Windows x86-64

pycrdt-0.4.3-cp37-none-win32.whl (447.8 kB view details)

Uploaded CPython 3.7 Windows x86

pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

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

pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ s390x

pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

pycrdt-0.4.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (1.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ i686

pycrdt-0.4.3-cp37-cp37m-macosx_10_12_x86_64.whl (650.0 kB view details)

Uploaded CPython 3.7m macOS 10.12+ x86-64

File details

Details for the file pycrdt-0.4.3.tar.gz.

File metadata

  • Download URL: pycrdt-0.4.3.tar.gz
  • Upload date:
  • Size: 24.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.3.tar.gz
Algorithm Hash digest
SHA256 84383d489d62440dc1ae6028181f526da0bed8416ceda283e607e1379c7fb52b
MD5 2c2cdefea6e474c2ee34074cd065869b
BLAKE2b-256 91e2f687c83a13344a09e8f5c02aa0d75814d96b47c72f2c34cc174d42cf36dc

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 581aa93dda3c2d417d4c052134320a757627c31d7f301f4214a4c0da425ffcdb
MD5 5a745402b9e31b973696450d82d794c8
BLAKE2b-256 f52bf26a6392d9f28d640192d844dc319fd65bec02a6f17686038f25bfb4ca27

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 b4070b49f22e66da8f953852e851554ac341d565e76f6e329146b29c5533c394
MD5 d06154c638651a09da3dbed479544447
BLAKE2b-256 36a206525bfeb97935d10f1793e01d107ac0e816badc8e9143f4be3e97f5d1cb

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 e29f671eb6f46b3ba43242afa1ab254b2e0a8846f1f3d9c2400f7053ec20b79c
MD5 b65cf8d8547cbeaa96d34da0d0ce7fc5
BLAKE2b-256 52731726fe01f02871556679f9251fbd89b59712b1d9a45169b71f0ae41f55af

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 f8aef013cd1ae5447961582aba11e4d3c0a3f2beb913b8d5cb94e5d31d9a2c68
MD5 d6d73c2ffea11ce2163f0f09ee6ea3a4
BLAKE2b-256 ad8fa72742a2128acc978c7f7fbcec7cd85cdfb672ac45b20b67a7360b45db0a

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3a992d14fddb17d429189498f15419524beadd5171e10a1332fdcbd4b31be5d0
MD5 e59ab168f83e1bb7ed8a0102f83061eb
BLAKE2b-256 afae81cb5e7646d85aaeee95092e4b43272d4d37d3159e051f1a6862373df098

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 edc0f1544211444b9a61ed3fc81d6f10a23d42eb26f80df97c975ca9d0b1414d
MD5 6e72eceea8c83763637a7e2524c86e7e
BLAKE2b-256 110d83ced80ea3fbd6b853db65f298908a1dbbb36094dbd665223f6353b7affd

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp39-pypy39_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp39-pypy39_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 6df1cd21ae9aa920115ff9f108bd09a7a882f807627a87abfb38ccf0fffa2410
MD5 67e3ce7f2bdebe7ea390e0ca2dd68d12
BLAKE2b-256 350eecfacd9861733cd6db0c5773f199180183ccd05ca57ff7a0904eed923f69

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 5e11508733acac591c3d7053b3b10d88f1d4431e6d1fb8ac578cddac88cb4e27
MD5 dbdf1bdc2e0d506da79f8ac3cdbde185
BLAKE2b-256 c0bc9f03b7a89b625098b308646ca5f8bbc4ac8092a9065fd017b3273100ef3c

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a50dd04df295d129d11a3a7674be29d137fab193ddf430b7ce6036e90bc4b29c
MD5 7c13f16b8d554dab4f60d36d41f76c4a
BLAKE2b-256 82572b5921e23f65205f9c33368fe55805968580fb03250ae20a4f592486111b

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 4dadc09d5dec0d339cbe65bc4cbd41ad5285aa57cd88cf4347775dca12c3c50d
MD5 a6c5198f1ed632eaaff47b522d445624
BLAKE2b-256 8bca4f2599d7e2655bb3ff91fda1a27826fae10618ef0ef17e33acfbcd5e962c

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 eab29e04cfdd433fed3a7d8d78b80b689c152d19370b353b33fa5962bdce6126
MD5 827a07d3f714fa3a4bf05e1e5582153d
BLAKE2b-256 76fd9a407ec84993842ddfcec8c355ff1b93a73f21e33d195f6113cb32b4f248

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 0a95da73dfd994d8c6b39143e26fa35850d2e38a41c7c46e30278a57c1c3f6ba
MD5 dc63a88f66bc475e4c0f75003daadd0a
BLAKE2b-256 3cd90ab44529a6c27da97e9735b5e47eb456466e1cf06aa0d7ed0036e74244b3

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c55f38aa5c67b3f524db4a437a13b4343ee02c0b5526bdc2dfe89a09a5e32507
MD5 7e9b410d846031fa9015104a03933171
BLAKE2b-256 40e58f12636a821a801d7b6309c7670bd1322d66ab02b40ce9f2b7c8c5cc56ba

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 fecdc916b2ad6ba064065e833f2998e76b4e1f72901e20b413451f38ac5068bf
MD5 0bf55e569391a5a3556e5e5063f0411a
BLAKE2b-256 27eb1b9f46ac41cc71dbf6fef2a7fb3d92ef21adf8a838f29c778a9d177273a9

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp38-pypy38_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp38-pypy38_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 57fa38ed84e3ec412839848b074f6dc5c90a4e748ccdbd30d9bc709ef144908b
MD5 67c2319822213fa0374c95f84d57bc46
BLAKE2b-256 69987cefa4321a58ab52be25d26773d4982441dba68c1cba58f5675aa4397f07

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 5ce4915f42f035c9fce0c2aa47763087cb061168a23998959c521732275c82f9
MD5 016e6f88af2c26643e4c03af4f877ab2
BLAKE2b-256 5b23990272ea241a983ac76a533714742e48a83593712b7d5e225f6b13aede3e

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 935c1124be2e1bf9b955f0ffb2cdb63319693b79d5b7daf6835559a59671af0e
MD5 8611136c0dd0a0cdf3fb2d42a3be7e58
BLAKE2b-256 f636856ba8594115e14e857043564c83eab9aa411ee1e035ec476e9035222c3d

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 85839ffda30c975513f4b78689a2516cf56912750550ca80e4b529720892a744
MD5 72a20dd7774b3113e2da90f6aaa964b9
BLAKE2b-256 8ab79c3f0ee0d43cd5bb7559919d3cc9d0eb9b959d16321cd41f0d3e1419ab87

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 e4fd0e888cca1b18507743007c53de150f3a43c4af4010f98d789d25134fa3ee
MD5 de792bd7c2e2a7ea7bd4bc55853bb03c
BLAKE2b-256 fef8b0b4b8b907cb33da5e701acbf7036e1859b42d09416742d37eb583599b98

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 aa0e637c46aec385a9d2ab060913e11c11d53411e3776b950ae43a9f885ad8dc
MD5 1d8e4eb45687f4d3dbd8a7a090b86651
BLAKE2b-256 c975deb14685799622490d8281f38c4c9f9600c0eae16a953971ca40b326678a

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 88f3d906813fcdc7610770c3331042dfc4861f74b0e24a2faae46f952dce3732
MD5 83139b45db730e2d0bb7407e91e3a7d1
BLAKE2b-256 a6e931c2a3a8ec82129b310c673dde4a08c0f49e8f9c9e25381bf3e79bbd5dad

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 31420dbf5e97b574491dd5ce57e0230e9853b123a1a3f1e5801aee2a75b6c73a
MD5 1c09c4fa95aa4c745b5fab3727eec470
BLAKE2b-256 2cf888d7f8b5332bb8970e06ae2a1a8a827596071e61c6dcf2ef9c0574e21c5f

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 7c3d358d91022e1777559078e8902760d6da8a7908780f658c9053cd21c62bf0
MD5 a7bb5b6144ffa325c50646b69619066f
BLAKE2b-256 b38808541d48ec5969e790e2e6cbae461c879b6474ebeb7bbf98ae9dbb92129b

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 0f2703c8b5c4746ca7ee93f823c5f8d5b21e714c0b4e4cc92832a35cfa20b987
MD5 90aa02a118d67a61d667fd12a0632bf1
BLAKE2b-256 99c8e1796cf3ddc788027e82f6c5c70cb3ccdb181447dfef74d02185da8dd226

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.4.3-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 474.6 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.3-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 35d262a3b8f5acbc43caffc174c4bfbab0e6b978ca3b927a121dd95aac932bbc
MD5 ae08c3a45e67bd0612262ba733766e69
BLAKE2b-256 026848edc6a9bd6218844ef5007c673d63aa7a71467ede1e679b00b9cda00a34

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp311-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.4.3-cp311-none-win32.whl
  • Upload date:
  • Size: 447.7 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.3-cp311-none-win32.whl
Algorithm Hash digest
SHA256 f38dc49b79d312455f8eaacf98d8f98d707f1c7261c2ba5989b5540409077f91
MD5 3a08f1da86ff9102b50fd5262325f128
BLAKE2b-256 6b7e079869cbd4149190bfefff8e4adeaf7e21b8eefc96bf77ebc31172e515da

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c6903ccfdc9f4c87a87c52c6bafd26bd40db2f1547ce51f4d6b6f620dd653054
MD5 e5ea9aae6998b4e663b3844904359b7d
BLAKE2b-256 ce61d3f6cf38e2e26ee418d9984d8d769f073a63fce8af59674b40b43c48e30b

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 ce9e7181af1fb477643fffba291e84b9b837d6ca7999a3c0c81e871f576a1bab
MD5 59aa8f76ec2a18ad7ecd93082d48eb08
BLAKE2b-256 5eb8495929553183210c7779b7f776cdc223e171fe17ae009e53590c9c7d3569

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 b249e7414b9b51743cdc58b3e52b154a5db9260bed302d8f38336f9a100b8812
MD5 5dd1b37cd9e45a6c600b2ba3b0e61a8f
BLAKE2b-256 b831dc4a1f3479e284a9bf5d380b167a88e37e13b83e6061cdf8702166bc0a8d

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 0ec4dbdc67263e749fe207fe7cdf55bc41c03abd2bf9ef115bc3118f641cbd19
MD5 02c2a151c68a690ee9a9ca6410991c1e
BLAKE2b-256 aa58113622a86b5ff20b12aa8d97f7e2c6d97adbeadf20e31e9e3696720a82b4

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f32cfde951a95ed013c80c70bb07db4b5c42b86730215ec163f4138795271ce2
MD5 2671a016dd4e1346d4e42a760e956801
BLAKE2b-256 254d3f9b89c4de0b6bc2667f1a9280840f8fd0813eff8f2e558666a9684d23cd

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 53f31f068024a5b6ec5c5050a3d5df8d52da94fe600f85eff9a3cc359fcb4a8a
MD5 5a4b925212cd3602560c94817828b60c
BLAKE2b-256 13a07284d5bd172bf02b2e482d5e8bc68fb0aeec0847051e638f26b6321ea37c

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 15528f8f976901047c4f67447d1c2b4cc286a12a10fbe2b12ab9817d8f662e6c
MD5 845e17000a8d1a8199adbb54836d5a4c
BLAKE2b-256 1991f1a046e637e11c4c1330073c54a2568dea35dbcf8393a7e56de3cafdd648

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 56e3f60d668feb9cd36660b0395ea64a902d18beb7d4561afb10987ae0b6910f
MD5 9ec946f690002e2d5e54ddde6b015ebd
BLAKE2b-256 61566151ecf70ecbe7bfd899990723d846cba591035a6d70b0849adb2192f184

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp310-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.4.3-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 474.6 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.3-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 dd83cb6b9368e8819728742f2f20cfcdd7cd82351b41d3734008f4c7e3d9538b
MD5 e0799d6b37e7363e39421699049fa71b
BLAKE2b-256 39c4b9cc261f4923490a62512f67af6350daa500fa81f69bdbc72e285f0cdb16

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp310-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.4.3-cp310-none-win32.whl
  • Upload date:
  • Size: 447.8 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.3-cp310-none-win32.whl
Algorithm Hash digest
SHA256 bedbe79eb65e6bba865c54c41e5e80c674026ecc9e3f3e8556e6b008a7378ca6
MD5 7b9170ac2a6f72eed6ac131961a23f00
BLAKE2b-256 67248cbdd73664d72051b0a109e332192b5986ed13dadfdc6cdbb030702fedd2

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0222c0de059f6be325347e01ea36174ef47ce6f79378cb5716742ae1106332b5
MD5 13d5a8c5708787b5f119aed3458060c6
BLAKE2b-256 97e9385e8f389f10acb3e2614d9d96f4293824b88bc29f7867ce612aa0e3503c

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 7f95da4121a48ad5e7a7a849bb20eb94b6878e351d7cc2b4ddde860a55bbfcba
MD5 ad923b3454a926495a64d9c56c1a0f41
BLAKE2b-256 6797f574a462ee2ae4cc0f750b8639b47f056dda81cacc982d7b45df99a4c8b0

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 1c5f43adf7a513d06a51928f6c720266654d316f2c49b7db1e6b356cf171286c
MD5 2dca6634d39d3a7078e2729685a1cc87
BLAKE2b-256 630bb02b6d12543eb908086f4aa78694e705299c8752612ecf7fb07981ba9dac

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 7fdb97ece98bf6f6ff3dad936e58204062b6d0fadab661fb35392e250f0f853f
MD5 f4da635d5987495e8c6b99fea991ccb6
BLAKE2b-256 3a992c72c9ed1479e629acfb4d7630671b1fbc86a1b6d1782a0a8346e727eb9b

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e2b3cabb1b4335991640f7a847f67c96a16c87698d958d5f75469c747edabcc9
MD5 14985a1650bfae1632e293fdc56e95a7
BLAKE2b-256 f1bc0f97b754a0b02b3be2bf0f528c666dd84781ccde187805f210e892e221c4

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 9e00bd2f5e60570362607ed933a78b8c754739c3839d587e36b52ef2fa1bf7b7
MD5 bf100c6893b814f38999ce54c36319c0
BLAKE2b-256 8832938fef24072c3bdea9514580dcde1f9261d6e5b69344b1eddead11fa56e2

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 d6ae379fc3a47fbbac2188cdcf2654e9c2616baf751c11a6db42291a1cf5721d
MD5 9d81716583410cb6c65844fe14d23337
BLAKE2b-256 41dc90f2b473b2d3c4193b2bb16529f392fa06e019a1ed14c212ae0a0c1534d1

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 eecab2b27de5fbeca18abd6e46e5a4be9de9408ea95201701c7c9844cd95f545
MD5 1c06efb7d8f9b39cba49538d92ba405e
BLAKE2b-256 501961e2bb8f361e280759fe410b7aff700d6578e65b01d97cec1ca72cfe5536

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.4.3-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 475.1 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.3-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 f46662e5f00a3594550ed9323ec924f2da9bca09eaffb0b957a42fadb3e0e6f7
MD5 545996b581062e10fc3b7ce179058a37
BLAKE2b-256 92eaa02bb59aaeb8f745cb623e841fbc2c5ddbb715b025aa0b67bb0a298ba73c

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp39-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.4.3-cp39-none-win32.whl
  • Upload date:
  • Size: 447.1 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.3-cp39-none-win32.whl
Algorithm Hash digest
SHA256 c3177e1db86abfe6d2c0c52a2ba1dc8574d8120a6fd7e280a0fb361b9180f160
MD5 0e93e6c78b9db5eef0603b7275fe62f3
BLAKE2b-256 40ce77fa824b521da57ef5fe38fee5fbc83e75296fa0210bdef51c2dcf0d04d3

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7241fc223e8988e6f096d1315dfe4ece1e0d55ed05a1d9d6f75fe33fe8b8d350
MD5 14b262a37d53eb187dc68b96eff7f981
BLAKE2b-256 95c3cb5a01cc724f0c7b0f1430e17a689da52bbfc102ec5874cb57677d51baaa

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 3c1f2c832a9ccbcf33d0c971d07595868f80c1b34f1fb6c3f5adff7d36bcb8f2
MD5 0ef539927ec795c65eb9a7eb4bd9b6a7
BLAKE2b-256 75597928892d642fac6faeff385cfa91bdd0136585a67092531e1d10876b835b

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 15facbb0c0141a09147f9abd154ff90a9aebd10dca58bb4dee49e27f4816bc54
MD5 50f1a7c1610ce7158baf392effd1bd61
BLAKE2b-256 079d46c4eef00192a57781b736fbb027b7cde5fa93820f908b6ecda46434193b

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 2d4696784c5d3b4d1d7e3250c41b9257848c229cd3a8bb4b30fff746d89b1132
MD5 14e194c3a730a24a4e3df3e60e724444
BLAKE2b-256 d0739c1b7891ceae55c40367edded9196cc60f667b4353bd1f9b685e5dd1f623

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f174352485c8aed97637b61365ce97c7684ef04ceb455884238ffce1fc1751b5
MD5 d09bc16f3301127ef3d971bf25637a78
BLAKE2b-256 53c20a1b252f104642aac6411870809b971f4204de90e77fabe66b7868bde606

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 d95c7ac370a4717e42caeaf6a8431d26fcd599e22879fdc16a594029d0867771
MD5 85323f20ac9fb36861000420ddcc3958
BLAKE2b-256 603169b95dd734ad367737e79b976f87dd3d1f99a6abea3310078120adb08334

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 e197945e8b3bef7c9ef64baecf31e93c0d50d5fa2c108debb0b9a3d38d7939ce
MD5 3d21cafb2d5d53f5c4b07572432f4c77
BLAKE2b-256 79acb58f34d27f6bfad07614169439749a0681e92f82c501e844ab70db96a0ea

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 f58b5090378353b82c96753a23a9d2e7bd20fea71f1c8b76b2398a27fef88bb3
MD5 bc6010f19ddcac36f97f711014597b88
BLAKE2b-256 409bdb4d166ac59acc1cb2416e6f2a7951b2df1b77f861023af09c424fbb7aab

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.4.3-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 475.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.3-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 eaae1d1e5ee78714f6abc7181f53be108713ef66032add97ff938504ff5cfa9e
MD5 9b6161c902e23b0e13a386755b80875e
BLAKE2b-256 0df7b1190fc3a0a2edcdb1bfc4df42f7851dbd9da66ddc7f31fa43d96bf08add

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp38-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.4.3-cp38-none-win32.whl
  • Upload date:
  • Size: 447.5 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.3-cp38-none-win32.whl
Algorithm Hash digest
SHA256 3167e1c6d5ea7e13f0a0df060ebe074e5e989d318b7c98d76afae8fdb706b69c
MD5 6f7f8236d8b2739b12598a698ca5b9eb
BLAKE2b-256 a0925707a6da07ab1085b194883be7e3f4055c4fc65a3c64f7d18bda6f61abf7

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bd816f31743319d4edcf5372530876fbaaa4b2d0760042201aa27728f9b31e86
MD5 2657a2f7369f5065b957503071654b09
BLAKE2b-256 9b04197d65d249c2d36df5a07a65cac2b4cb7b5fc9941ef5473e6a56c627f22a

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 6fc779d8e5eee3f2e502783764bf461e2e0652da135c7a5b9991d7cec343be3a
MD5 6521faddf722e30bcc5aa8763272dcd4
BLAKE2b-256 808ceeab9ebb9635de4f5e0b06871d5e09b4baaca970c28de20d0af7346bb1cc

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 c0efe0eb9d1c68d4e3aee1706e5355853a5091739e93f92abd3820f07669cb2f
MD5 86338d62b5389458cc9e42509a7c3e6e
BLAKE2b-256 ca93a13bade197e005df2738769f2e468ba7912933db016ab8a14599793c16f6

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 7d4c01dbb8eb599b21731e1da8ea5d8b49872360b5779f3e97c0ebb7ade16299
MD5 efddfc99d0bf38ddb81da7878d1d38fe
BLAKE2b-256 6fb4edfd32c8b15449844445fdd803d6b253cd140af782de7380ab2d6fff0dce

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e02046cf767aa1bf535ae194fa21fa5e645730676e5c42f3f57f3a289a6de62a
MD5 ba5efa8e33b524a6fec56cce16cf332a
BLAKE2b-256 ceedcc134a1645e1fc6cf35eecae9083a6dd78cbec2c8b8f99853356550f0152

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 08a4e77fb29b467e8d2e51ad17533a6a5aea922b4e5534b158ce663085f504ab
MD5 3de7a7fa5df053e5e49286888b4619cb
BLAKE2b-256 bd294627debbebfb57dc1c06abbda57e183484e6e85aa34dcd76de3eee95aacd

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp38-cp38-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 a66078507162ca420a4130248029ac82e0b06f4ed78c8ce4c38e097bb245e646
MD5 964350dae910e42bab69bd985c027d35
BLAKE2b-256 c5297ba34bd5c5048ea91f7ae397ad1772c0c6e5d57ab532dfbc89599b473bf3

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 53c86ad411779cf34d8f3f9bb13dbeed3863453fbe6671ca929d64f40edb1caf
MD5 9ba64ad69d209b2b9ebc1af1ae81a224
BLAKE2b-256 53c3298bad9b5cdce60451ae93083cc575e86d35c72b734507e5a5a5c2ba3f1a

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp37-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.4.3-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 475.0 kB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.3-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 06e452de262f5cfa39016e2aa310e2f2154c937a4bc0d32be76a8d1d6c5161aa
MD5 c229e77edfd8aca1d467366810502ee2
BLAKE2b-256 deede5aa0cf34da0436963369d1d886de57fb878b4b47b47c67f231c571ec908

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp37-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.4.3-cp37-none-win32.whl
  • Upload date:
  • Size: 447.8 kB
  • Tags: CPython 3.7, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.3-cp37-none-win32.whl
Algorithm Hash digest
SHA256 1365dcdf8083a1a10dc6a5c19306ef077fdbd142fa017e028650e449dc0c2dc7
MD5 b3e0901510db97c6ca5131e09bade3e9
BLAKE2b-256 2d16df18ea90029cc931656299d14d01fb93d85002e2b1228e458037ca5caf14

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 274c4da1614435b18b2ee08ec9d89a883e69cf90d0124ff1188a370b953d3882
MD5 a2ed994a4a73c80d48b81fba41968cc8
BLAKE2b-256 6728bd0bc160acbfdc7b540d2dd557c1e792400e414acdb1247334da044583ad

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 38d94bc6af099fe25ecad638128ada6c5881331f1895e7c1f2aeb2e02f0258c5
MD5 5002939714b910f84691284ca8950908
BLAKE2b-256 c893aeeed8e4ec3af0873b48a2c462d08f80d4decff1750f3d54d6b27eae322d

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 bb99356356a786690d0df0ea9e8ed5f77c067faa077dd9f8b791626fca09fa6f
MD5 33584f5d3e26eb01397e2b4fb405c582
BLAKE2b-256 a6dcd5efbca60a1b5efc53dd89dd0520bba451395d41e7640c52e28add5087b2

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 f88f172eefb45a45b1d39f784a80ba76b433e4d7d5868097c188db70b07aa0ca
MD5 142c0d87e4076b79420f24fb14538ca2
BLAKE2b-256 cc8a08b970e1383806199ebe37473f86f8b68520ab1768ae57dabccc2eeb80ff

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 fea81a60b9b7a8d2c988306c194e5dbe69a2ee457dbca5f0725a0dc107cf7d08
MD5 896be4e032f8c9d6026652931fb1d73f
BLAKE2b-256 0a671ab1ca359cab4121d555a5f42eb5c5d6f1fd18c4db7571f6d6cbf2fcace0

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 ea041aec62d7eac4c62c5383ebafdb8c38e6ecaec34cc6fb94e20856ad3a5960
MD5 461c4f08938d5c3e24a17248f65141c3
BLAKE2b-256 bfe6912c6089cf521b40cc9ff8938b77dad743e211fb72156af23f86719b1cd4

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.3-cp37-cp37m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.3-cp37-cp37m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 e721781628fe80db76f30ebd73dda4cda8f6a0f691c369241f4cfbe4efa80bd0
MD5 5902f4d00101617194031ab9f954b729
BLAKE2b-256 eb0a65312fe8690429c243c17bed0ae738732373566e07369dc4ba996d759e12

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