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-0.6.1.tar.gz (25.6 kB view details)

Uploaded Source

Built Distributions

pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.6.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl (651.4 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

pycrdt-0.6.1-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 MB view details)

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

pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.6.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl (652.0 kB view details)

Uploaded PyPy macOS 10.12+ x86-64

pycrdt-0.6.1-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 MB view details)

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

pycrdt-0.6.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pycrdt-0.6.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pycrdt-0.6.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ppc64le

pycrdt-0.6.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.6.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pycrdt-0.6.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pycrdt-0.6.1-cp312-cp312-macosx_10_12_x86_64.whl (649.4 kB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

pycrdt-0.6.1-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 MB view details)

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

pycrdt-0.6.1-cp311-none-win_amd64.whl (475.3 kB view details)

Uploaded CPython 3.11 Windows x86-64

pycrdt-0.6.1-cp311-none-win32.whl (444.8 kB view details)

Uploaded CPython 3.11 Windows x86

pycrdt-0.6.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pycrdt-0.6.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pycrdt-0.6.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

pycrdt-0.6.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.6.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pycrdt-0.6.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pycrdt-0.6.1-cp311-cp311-macosx_10_12_x86_64.whl (650.1 kB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

pycrdt-0.6.1-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 MB view details)

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

pycrdt-0.6.1-cp310-none-win_amd64.whl (475.2 kB view details)

Uploaded CPython 3.10 Windows x86-64

pycrdt-0.6.1-cp310-none-win32.whl (444.8 kB view details)

Uploaded CPython 3.10 Windows x86

pycrdt-0.6.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pycrdt-0.6.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pycrdt-0.6.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pycrdt-0.6.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.6.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pycrdt-0.6.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pycrdt-0.6.1-cp310-cp310-macosx_10_12_x86_64.whl (650.2 kB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

pycrdt-0.6.1-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 MB view details)

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

pycrdt-0.6.1-cp39-none-win_amd64.whl (475.8 kB view details)

Uploaded CPython 3.9 Windows x86-64

pycrdt-0.6.1-cp39-none-win32.whl (444.2 kB view details)

Uploaded CPython 3.9 Windows x86

pycrdt-0.6.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pycrdt-0.6.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pycrdt-0.6.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pycrdt-0.6.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.6.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pycrdt-0.6.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pycrdt-0.6.1-cp39-cp39-macosx_10_12_x86_64.whl (649.9 kB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

pycrdt-0.6.1-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 MB view details)

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

pycrdt-0.6.1-cp38-none-win_amd64.whl (476.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

pycrdt-0.6.1-cp38-none-win32.whl (444.5 kB view details)

Uploaded CPython 3.8 Windows x86

pycrdt-0.6.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pycrdt-0.6.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pycrdt-0.6.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pycrdt-0.6.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.6.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pycrdt-0.6.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pycrdt-0.6.1-cp38-cp38-macosx_10_12_x86_64.whl (650.2 kB view details)

Uploaded CPython 3.8 macOS 10.12+ x86-64

pycrdt-0.6.1-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (1.3 MB view details)

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

pycrdt-0.6.1-cp37-none-win_amd64.whl (475.9 kB view details)

Uploaded CPython 3.7 Windows x86-64

pycrdt-0.6.1-cp37-none-win32.whl (444.8 kB view details)

Uploaded CPython 3.7 Windows x86

pycrdt-0.6.1-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-0.6.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ s390x

pycrdt-0.6.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ppc64le

pycrdt-0.6.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARMv7l

pycrdt-0.6.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

pycrdt-0.6.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ i686

pycrdt-0.6.1-cp37-cp37m-macosx_10_12_x86_64.whl (650.3 kB view details)

Uploaded CPython 3.7m macOS 10.12+ x86-64

File details

Details for the file pycrdt-0.6.1.tar.gz.

File metadata

  • Download URL: pycrdt-0.6.1.tar.gz
  • Upload date:
  • Size: 25.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.6.1.tar.gz
Algorithm Hash digest
SHA256 7c2595a462dafa0c8c01735fa3d85e19c881fed2665da98a5461a97020786276
MD5 98ff19c00ba74c706a851ac9947d7b38
BLAKE2b-256 c19b54ae1af7e99eb1028af5a2ada0a8854f7eeb87d5b963897e0e5199277266

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 656007139d29de3bb71df619c0c6d1205ce4fe3923a18a463d449cfd6cda56ec
MD5 34bbe0d0d7f152f0b785864f3dee6df5
BLAKE2b-256 73772b2f138b5719796c91738c1b6def5dd07cbda47cd0503978968699ea2e59

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e425c94fdcd611b60ad31a7ad62f17cad802ebd0120ec396b810a1127dfcf572
MD5 e3ac27f612e4e62eafb160e11afc3302
BLAKE2b-256 8b93d930e2294ef16ff6042f59e3e95fe7d7554c7e923a592c50a7af51f682ce

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 86bc0366d3109dadc2aa28cc9b3ea5d71c43b14e85a115a19e74b19f932ad91a
MD5 8c1a5a7b59c1e55bd32c5bd3d97e9393
BLAKE2b-256 41242799011915095901b6b4f9cac36e3db11b7bcec4d67df2a7ad460fed093b

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 1ce87cf2ae9b4ede326bc90a9d126b62c95a7b3a463be1d2e6782f9acf875a6f
MD5 90accd3eee9ab2a9b6ddde439536813c
BLAKE2b-256 76f19a64355a17d6ac40b2075f0d9e06ee5a5a306a9fef27b001348391a074f7

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 84355b2a0b3bb1b0a84bcb06925d09a41ce4599993f3e3f020892412fb68cb6f
MD5 34931ff0d84d285051afcde40533ca34
BLAKE2b-256 4d61c8a592c51a04a37de25e79a86473329e4da853247352cb72ae615a321f17

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 d181ca4c00e5bb31a7c8cb150c7681e66c8ce6912ed6e7ec9c99f60a36f60254
MD5 5a3b36e201d217c7eb869e6de39c2f9b
BLAKE2b-256 93c00cdf712a11b5b992beef48c1854d990bdd791f90429ab63c5efe2058a7d1

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 7a60ed682c980488b7c3ce58ade2726a0cba7e417fbdf3ed9368bdddee0a67ae
MD5 d4f696c54d6da5262c204de592f1a4f9
BLAKE2b-256 5fb42fbd881b584313c7b0e49f4ab74c8feafa02d1aa0f69e3e2c31b6f94d776

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp39-pypy39_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 8a128233a3dc93222f6ffd6c3fcfa780863881a1582dd91de82ec06be87fd0ef
MD5 d9af3b87df054a78791dcb763cd52ceb
BLAKE2b-256 b19eb5bf636a8fc117024042d1633609f962f5c42f6d10d7d47b630e1b880e4f

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c30a5aa89c54a4bd67b434e861eb6f85899ef02e123f7b82b9da48ed18d9bda4
MD5 2a5f8b21e6461d5e2dd8dc73c96985b3
BLAKE2b-256 ba88a59640ace6eb7d9396c34794b16c6a5f3d3d85424b8a6cd21115601cbe20

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e1ca6f8b6d1c3e81e60568dbdce752470f4be6c825c68535566dab1fbda0216a
MD5 1f862df782d2d817185798c2d0d87b4c
BLAKE2b-256 6183fbb4ef7274b766461f230d538869bdf81e9e7dae44dd09e7af70995f72bb

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 c7bbeabc9e2ed43c4231a4ee06efde9a03ec39fa44306ce6e3279a819f6544e0
MD5 adae4795bbe68137811db1a1a1da5e34
BLAKE2b-256 bd54acdcb10b7ca8c0d94666680e5be8022a7e00ce9c5c4a8b8e6eab1e3db1c3

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 e0708f26596721c6e4e0b91ae83f7ea323efc7a666a6f8c44f328a7ec4986b6f
MD5 dc03fd292d496a941d223b364da85d86
BLAKE2b-256 5b9ac9388c0872d3009a32c8ad6165f049ef684bd8cfa0d610203162acafada0

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2d6408b602d64d537808dc4c319f13ba2b117209d323f5673abdbf9f4fac9856
MD5 9d07e698d89f658be2538ed4bd4b9f34
BLAKE2b-256 27f775dcc2c4e90ba08be3aae23fe79ebe7588c2ac4fe6ffe02d6a94dd0d9e78

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 919a6bb2b51887f9877c5308b96e783c886e362abb3171d4debb688718237113
MD5 a99ab001edf524034a8f1100715f5115
BLAKE2b-256 6c4be37f1cbd93950ff4d983a328ecb4b31abbac8b3d59d52a70d701a9414cd8

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 866be288f5de517c7c4cf6ee16da0148d5657d099dd1e3958dcd9f2e369c2a14
MD5 7c07d06e74372a7b971301fd795b05e4
BLAKE2b-256 5506a543c40ee363b8ac34a11014e371d90f422b61ac18e00fc3df2e33af2b60

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-pp38-pypy38_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 6bbc46983a763a40b7b23d02c65f240021ff944cbfc3e32cef6cb79dae399306
MD5 7d3061139e3ca0c00e92a8c80da858ce
BLAKE2b-256 79421cca6cf6b162faead0a10572896fe2cb78376ed5cf724e83d4d3c11ece4e

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 86a62393faa62b9ddb0ae73cb87b71cdea0529cd349ff4dade791b271b698166
MD5 b08dc90e1dc6b6db940309ed8f8d54ee
BLAKE2b-256 62206054891eb93b9b98c117b6f25bf775fbc6fd83624b16bfbbb2a4c37cc172

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 04ef09d2141d7d03ea7a473b4121a37ad9c9ee2ba98bf3abc296af48d048d223
MD5 50c917038a73c5e206466350365e6ffb
BLAKE2b-256 aba03cd825feefe0efe76726484402f89c18b879bc67c5b458043feb5edfbbcc

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 5c77e3f56e1a402082772412dca14347f5d883961532a412157612545c11dfc5
MD5 52c4bc241d63100cfb9403be09023063
BLAKE2b-256 1dde40fb887038b3a35aad1457aa1a0cc7b3aa0c56ef0aa8a08df6d3761e6bd5

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 461334f23e226dae468a40d50fec092f34eed0ad411d7676bdefde09a372eb8b
MD5 1ec2466ac96c11bdfe043ec85c53b386
BLAKE2b-256 d7115ce4105986c24c09b60e5b532e9a940a8a6a29a2c4d65f7a04b2a3e8cc16

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b0634e568da5f62677a2bf24e4dd04a38d90dd8aeb01a7cd2df053feec8a056b
MD5 5864358c503668b5e2d8088280417367
BLAKE2b-256 88104761e0152b14ce5251a5525099c7d420d59337a0373543b7923988acfc71

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c80b999f96c845992f50270c17f5100f9b9082695edec8ff2d0ba519c5671a2c
MD5 8eca19da4d8f95214edee9df97a20bb3
BLAKE2b-256 d249bd99751584feb42f13852d87fca7b73aff46dc637a257292395217084257

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 dc387576dbd063353c2454123bddc55bd76023ac63fa6ed24cb87bd1d2724c80
MD5 49a851e2bfe422b13ab914335d1f57a1
BLAKE2b-256 e7147e1c9607ea4abd2d8c7fcef9dc8e854508b5ce6fd4455ba6ba8b09df87bc

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 46eca4e9c217d1e78f718de0f53bb0b549963ac9a8681014cda7fee86a9d159c
MD5 2c95a6e2b71b044472bddce5ffe4eba8
BLAKE2b-256 dc05581913f87c2eb0a44c91829b60286abc7fddad99efff344f0a8c1d7ab1a5

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.6.1-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 475.3 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-0.6.1-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 29b6a1d3cb07e144dd62e59b1321955b1a46df685ebb3ba6617ce6fbfa03833a
MD5 69fb8dd26d897badf10744764fb0c548
BLAKE2b-256 9dd697697dc403bc4cf38d7471885560bec8e6b7494d486ba0805175ffe37fcb

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp311-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.6.1-cp311-none-win32.whl
  • Upload date:
  • Size: 444.8 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-0.6.1-cp311-none-win32.whl
Algorithm Hash digest
SHA256 38b22187cf8af8ab40970c0d948e1fe85c64e6fcee1de752af128100cdf68808
MD5 a657eacec28614fee3745428a99a7d58
BLAKE2b-256 6eb99178d2d07ed7b48afb81117448f7dcfe1e9f05f22b1abba6084a821d7304

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1ad6e08ad696c2e354eadc4e76d1eb6d5b182f7f02d707b45d3bab173b70b0b4
MD5 ab95557e5ab63adea3f876c275a92170
BLAKE2b-256 68148f8778ad25c78bb4f77267bc5a2d850899b16c26b057a05fe5e70bc169b9

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 2d0b80ef958237b853d696c6f1fad7dff83560298841f1d9634b0e3b57aca658
MD5 a52608753385b3bd49d6c75d8fc90f1f
BLAKE2b-256 8678b10a09f421ac6af89a2afb3ed45762ef7337d2677ad5d185e205e43d0c9e

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 a289a93ab5a666c65b571c76491c3e7a007609a8fd1021634ca970cf191c9065
MD5 29ba85c3dd6eef4a73b08517604cf50f
BLAKE2b-256 fc609eff222a8b8a4c7aa2fa293b0b713069679444fe99e44e4aee4928b14dd7

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 83febfe60db8fd93ac2abe98c69dc984447f4df90fc3af12a402ec072f156799
MD5 296caf0ea7a434ec4a282fe71d58e1c1
BLAKE2b-256 b985389bc5217211bc88b15db8e8eb8d7403a7c4773c9d0328ccef867f71eb19

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 40ca1b285078118eb213bdbf35db951d4b05fb1b0de111f090068c50890b7efa
MD5 76052f359af2d5b16b425c76980b4ded
BLAKE2b-256 9209665bb55000d1f2ae91870e629c4eb5ef9bc429e41b5a70aae5f8fe2751c9

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 d8986cc2be45d725ec86a1318e200d3c1b71b592bd45fa98d1e93db4b20267d5
MD5 2ee0f6fc030e73ad6aee261daf323c36
BLAKE2b-256 6a93b9ac8138db2d979a9402ae12fb8dac24bf2264d4aa60b75e218e52390b4c

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 df40d1d529a8d6d943d61432da2450bd1d967bee6aee61debedf8d4f89e7daee
MD5 61903862ca66c35f7b4ecd9a2d330d69
BLAKE2b-256 58c9323b3faeca5147dd09f9dcf2cb2509c78d8d608ddbf9bb1b9046654fea56

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 9bd157e4ebfa6903012bade230b48c5690e376eba9c890093671ad11fde2d8c8
MD5 62b9157e1381894dbd97f8c19d777999
BLAKE2b-256 6de287b33fb08f55f340eebd2e6914058eac79b93ab22d73f0a99bc8985f1ff8

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp310-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.6.1-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 475.2 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-0.6.1-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 04875399c2227f6eee1d82a42fe333c1ba4f8a7224dda577acde7f0b1dffd042
MD5 8b1ca657df6a8ace7e1b58b36327c740
BLAKE2b-256 e403a97e32a463d714f8c41e14c9e8c907a52ef734ec227842c79f90b962adc5

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp310-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.6.1-cp310-none-win32.whl
  • Upload date:
  • Size: 444.8 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-0.6.1-cp310-none-win32.whl
Algorithm Hash digest
SHA256 3130e1d15d659a608d8a583cb0d9caf3f2cb893393ff1cbb1bd4f270e40d96a9
MD5 31af24e7262958c9e4d488982c7b1f48
BLAKE2b-256 2d4d9c4ace8b7cb13492a900e8abef90296e53b7f27bf2062359b479b0053c6a

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 536d6aa53d7fbaca21cf010d285369aa7811c6ff0e2d5c3bce182778f0eb0a31
MD5 198c4a70ea24d8f48f879506688620a3
BLAKE2b-256 7fa83f65faac6d0124c27b96dcca9a561743edecb33fe83ab896062422558888

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 114b9614024d809ad465189356990bc17909ea34d0ee6676a94fd419584e73d5
MD5 6ee5a588e35acd9f4236b61f58d700a2
BLAKE2b-256 03c4d27a9272b91c2d2d229336f400e4ce136bc3a7f5c6be20cc41674a596928

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 d9ff3bc915246482c470e1379299816e1676a9227364e48d298586b2867b78a4
MD5 a6eb257a8f3caacee6d28a69acc85983
BLAKE2b-256 7fc0692f2faab01b4b2296aba6b106084a2731d5ec43601c047f22d64d076817

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 70a91d58d6115c8df1e46c716823124864fd923ce4eeb09be2d284a795900e95
MD5 6b0397f870c87dce4de8d33acb5676ca
BLAKE2b-256 68f27fc715867eb7142fe44a546d925b5982a10c53e082761f77a9b3d1acf5a5

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 93192318e47c19a17273edbcd174b421f95bca974f9e03b67b472cb75b9923e2
MD5 7ebb1d1b0b435e40f91a0ca85014046b
BLAKE2b-256 d33ed13a32ed11e7533ad1056bf9546c9be28237e36abff3cbcb4d14887206c4

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 7983117e194b2f2cd950bc775ccb7e6474e631121250a41b02aaac11ab3a1aa7
MD5 c9dbde0af0c449f2a0e6876367dad9c5
BLAKE2b-256 fbfd12e2ea72d93e6cd81c1b5ce48bffaa791679bc045f13baf547644a3be2bb

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 93a26d8540bcb68f89f95c6069c685e54b04427c222354713aaa52b793622876
MD5 69c4e0442fa4590a39bc7b145641d5f0
BLAKE2b-256 a01d22d1c850be04cded68f726bab7dd0f68813ab7bf8503506137af55700038

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 70b64c133899fac5a89840b27adedddfa42cf8d4022bb343f7b383c17b1cb415
MD5 211d0b7ff9a7626b2b0d2ed1ff357517
BLAKE2b-256 62df04ef4b04f9f1519de969593b8fb749ca9c1857544b1cfa901686b8ce8ffd

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.6.1-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 475.8 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-0.6.1-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 131d0cc82f29e1af571255ea6d001ee1851936c9ccb237a6d646b640120c37ef
MD5 9f210588e42d11ef181766fb3106ab7b
BLAKE2b-256 440f91c783f10e6d4ff08c27e56485b5650730935e8978762d5be10b4f6cb5a6

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp39-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.6.1-cp39-none-win32.whl
  • Upload date:
  • Size: 444.2 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-0.6.1-cp39-none-win32.whl
Algorithm Hash digest
SHA256 e2ecccbff0b8610e0d6425ca20409bb6b029a191926b667aca9678c5b83a8617
MD5 36c7de4747fac971c4b2c2a9b08c76bd
BLAKE2b-256 5ec02d3863c8f6802a62f5dc7d9bb048789e2021dfc27444edee771c1a1f5f52

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 428466d52c259718adc51afe0c7eba1b6d26142257b0c87d80bcc7176d15bb55
MD5 9ba1ce5c5f7ac142f2c63dce210e7291
BLAKE2b-256 4d573d128cf60b426b265655552c59689fbaf19b637880590539e2c5678bd832

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 9e1602c64fde4351b8ecce6aa44131e9785281d422ede4059f0ac184557b8674
MD5 efcd3dfb32287470f6a0ba6179f590a1
BLAKE2b-256 f8f1dfcfbb4af7c69bd02c64845cb73d80875f62ca71b8a32ff082a3f9921d3d

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 3120cbc256962408192933b51a079feb02ca8d71553dbfe2eb3428f3233a39cf
MD5 5984daaa96a727c573566af23f24a93a
BLAKE2b-256 ec68816397376f49e20748f03d24ff2e9b5c386e05d85b23119d13da66603d78

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 8743eb9995d7a34cd63256b28342ee86eba57f204a8cd51edfeb17b48fca36e3
MD5 2a9b6404073dc73ebe398cfd8c2ab7d2
BLAKE2b-256 4fb8e791d3b4e65fa11d06e48fa089bb6a8efc5c5d749d7ad63d1e132d311af0

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ad8408d168fdf1aab03e3e35d227c2b6a870ff7cf3f53b85026044e357d5cef8
MD5 cb7ef741703c58bfcce492b24a581e29
BLAKE2b-256 6a9b71443aa27ec2453134b499d703c08d61e9df8e0c57f996d5b5f269a1083e

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 6845205e1e5b0af02a60c65052ecdd36d51dc804d780cb4773d52b63c414ea47
MD5 717eabbe9edb4f26db97a197910aad2e
BLAKE2b-256 b3b2af2d0a0db28b09cd1145dc0804a720432c11ff2fa119dc732347cc58539e

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 c16798322212f03f17fdd8e1741edabfb3a19ce292ba4be17013f6187b410ff8
MD5 0a63b4860bd91698c29862cedfe96827
BLAKE2b-256 fe3a50e0b6df9dd10323fd10231b7b5558d5afc425a49d0e8219804a2ca079fe

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 7a74d5801a216f4a4c6c6c41e5ee00a3f4e95a882c798658bf1242b8c4ed6a4f
MD5 f243e2fd51754c02b78adf5adaa2e82b
BLAKE2b-256 3b4ebc90816da8d0705cb467f2c83c76acbc2eb7fec39a94d34e766831926bdd

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.6.1-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 476.0 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-0.6.1-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 dda88dcee2491e8765ad25df297e8fe1c7fd9c3b43fbe65e28ec46201cab7cd2
MD5 f0da1436572c47afc96e8fd45b5ed737
BLAKE2b-256 6075ebd03873dbc191519a0d79b9978837a04902cb660cd713eef039182fbf4e

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp38-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.6.1-cp38-none-win32.whl
  • Upload date:
  • Size: 444.5 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-0.6.1-cp38-none-win32.whl
Algorithm Hash digest
SHA256 d21ddd8d6478778953d824f6874177de8c6970f116835d22a9ce270715432aff
MD5 c542f7cd5e5995b04973d48cadce3bc7
BLAKE2b-256 42c2a0815396c8c6eab95222be81a6707924827bf38ea634d06da796b630a1cf

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6b7277aacc5d977e294df968847e394cd41bc8b2ab2791f4f29272864ee8e21e
MD5 b69443bcbe8ee97bcc45af0050268aec
BLAKE2b-256 c0811b6d2cdf25f5153fb70e049823239826a3384a9f17c7b61347856a94176a

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 03fd982775b914952a301fcb0cf7640d9bb7795a4483ae3ee304195176d7732e
MD5 340c1b2c03b265a716257383071bbe4a
BLAKE2b-256 be47f2c9f4a4c70726bd4617274bfd2d2247caea710a3593be1f854375fcd334

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 c08d0af756346b7d6cda29e6e3e0ff854c835af336d5682ba4047b87edf82ceb
MD5 57cc8817d949488ad9950827926a2ca2
BLAKE2b-256 28dbeac04a3443a45e006b3295ea98a348152a445057112f1d55cd79a2cc35ab

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 6853b9150ab0bdb30ad7a67565dfa15c5e4d0c3a93f3beef715c3d9c8af04f7b
MD5 14ec6be2412c47c8d19eb638b9bbb26b
BLAKE2b-256 4aa23b1192158d39d7caca963835a587193445933776987957e1df5d22143edb

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 02c8dd23c4f5a02db037081d0154547192fa2d1a32ac6ed28ae95dfbdd3adc6f
MD5 1f8aceed8b77812ab1625efb9d62a02e
BLAKE2b-256 e9c919afa03a8c3111d9ff625c14ba2017d88fd30c896c34d3ac8ae388870cb9

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 d33748ba069da61db7aceac06b8e530d019b5d527920b5798b2c5823f8d9ed78
MD5 f7384093da9afe6dc8e158e2b4920ca5
BLAKE2b-256 10041721c6085506fb234195bff05cca58fa3068696fc512a8b8b3d606cb548a

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp38-cp38-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 5b3dd4cd1dfbc3a4a7b1e5db471e27a14a204f3ebc68924ab7be2148f8fe704e
MD5 1be33f6c1793a6c6eb1faff9edbe16e1
BLAKE2b-256 727a64362d60d46deda2b17ba08e17a2561e94ba8736567fa0a149eb9af2f248

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp38-cp38-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 c1aa27a6ed151eeb74272ed9fd97af60fb44a1525c1797d2b40633603e1ef26e
MD5 8b473a9eb6e994887999a8cab4058fe2
BLAKE2b-256 d4d08a97ba961444c31334518b35934a04871f92e243170227bcf352906d8c4c

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp37-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.6.1-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 475.9 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-0.6.1-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 9af976b8afe61914e5ab1792ae4db82789c0a2728fdebc6d79bb3967e769acf6
MD5 6d0c1ca522bb6db3a1a896f5f11b65a4
BLAKE2b-256 52ba7491f9b7f06e4b24137f19427907fcd48940a954242e23ccbb127775eba0

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp37-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.6.1-cp37-none-win32.whl
  • Upload date:
  • Size: 444.8 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-0.6.1-cp37-none-win32.whl
Algorithm Hash digest
SHA256 208005419ae5b0e6eee14b17319f089bd2ff310730dbb7ebe493fe70093ae531
MD5 19ff0cb4391232ecb013288f5e4a83aa
BLAKE2b-256 e3f5a442ed314cf1a93057d4fb888b3ad3374884b7a74a01f843802eb8a2d966

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 38fffa0058226580681da43019407279be862212f717d2a533861ead92e78f38
MD5 5e640bdb4f9c8cd37d9abaf6e74bbed0
BLAKE2b-256 95f0957bd28f39303cec942995b36bf2fbfd443cb056eb7f59f8b0bd9a93b374

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 b3d2e8199297f4bce5951c35476589c55cddeb822f5410c4fe54d160f1ceca51
MD5 89a3b056f9d90afff28247e289def312
BLAKE2b-256 5922e10c3f675b4ebc5c9100a61f8d48e000cfbcbeed52f704121e4fe3e3bb6a

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 0cb861ed10d28b315f7e444c9424c83a981632028398629c90d8f11ef92a9eed
MD5 b8dd3caf0ecfeb8cb25567a8e874c625
BLAKE2b-256 bd58da491651409dd3c6b3eb6fec3688434b321330181db54ba243c1f24d30d0

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 6ebc6ef2a33a20adcd41e0f5398218d450d58090d205702912760cf65c8b601c
MD5 7a7641d0b88559bbf3c5ff5fbe63b62c
BLAKE2b-256 2a589dc269809c660b0d1dcb195a41d9dab310a81f093213230349322fff4e4e

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 fad7433a1ef33b0d20e096353ef6edf0b9ce9c5cb3cc324bc72aeddb09bb7cc5
MD5 094b38bf815ca5eb0b627c353673a89a
BLAKE2b-256 8664770c7db9cf3c8ca1dd2dfbf5650c99fdf50b4e2f4b292888d5154e7a4030

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 6532e9f2dcf74823b0ad4b11f2a490ac5c4c96e2853c8e99316a0d9d52c12db0
MD5 18342bb296798683a3b9abde5bfa1f02
BLAKE2b-256 2b3f53eaf6920d7a0eb3f3f800cc6b19eb89ad98f7cf1b43b48ee6b2519e38f3

See more details on using hashes here.

File details

Details for the file pycrdt-0.6.1-cp37-cp37m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.6.1-cp37-cp37m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 0a11d9d1025ee9bac43fc7a16387f2727031a07c886bde17a8bff4f3569354d8
MD5 04c084818b5d8da85e6c8643ef7c6b34
BLAKE2b-256 97b129c733babcb11e119fe0a966d5622f9103ea80fc9a6487d115c268098f1e

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