Skip to main content

Python bindings for Yrs

Project description

Build Status Code style: black

pycrdt

CRDTs based on Yrs.

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-0.2.0.tar.gz (18.3 kB view details)

Uploaded Source

Built Distributions

pycrdt-0.2.0-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-0.2.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.7 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.2.0-pp39-pypy39_pp73-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (1.3 MB view details)

Uploaded PyPy macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

pycrdt-0.2.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl (650.1 kB view details)

Uploaded PyPy macOS 10.7+ x86-64

pycrdt-0.2.0-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-0.2.0-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.7 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (1.3 MB view details)

Uploaded PyPy macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

pycrdt-0.2.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl (648.8 kB view details)

Uploaded PyPy macOS 10.7+ x86-64

pycrdt-0.2.0-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-0.2.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pycrdt-0.2.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.7 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ppc64le

pycrdt-0.2.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pycrdt-0.2.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pycrdt-0.2.0-cp312-cp312-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (1.3 MB view details)

Uploaded CPython 3.12 macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

pycrdt-0.2.0-cp312-cp312-macosx_10_7_x86_64.whl (646.4 kB view details)

Uploaded CPython 3.12 macOS 10.7+ x86-64

pycrdt-0.2.0-cp311-none-win_amd64.whl (453.2 kB view details)

Uploaded CPython 3.11 Windows x86-64

pycrdt-0.2.0-cp311-none-win32.whl (431.6 kB view details)

Uploaded CPython 3.11 Windows x86

pycrdt-0.2.0-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-0.2.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pycrdt-0.2.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

pycrdt-0.2.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pycrdt-0.2.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pycrdt-0.2.0-cp311-cp311-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (1.3 MB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

pycrdt-0.2.0-cp311-cp311-macosx_10_7_x86_64.whl (648.6 kB view details)

Uploaded CPython 3.11 macOS 10.7+ x86-64

pycrdt-0.2.0-cp310-none-win_amd64.whl (453.1 kB view details)

Uploaded CPython 3.10 Windows x86-64

pycrdt-0.2.0-cp310-none-win32.whl (431.6 kB view details)

Uploaded CPython 3.10 Windows x86

pycrdt-0.2.0-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-0.2.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pycrdt-0.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pycrdt-0.2.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pycrdt-0.2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pycrdt-0.2.0-cp310-cp310-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (1.3 MB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

pycrdt-0.2.0-cp310-cp310-macosx_10_7_x86_64.whl (648.3 kB view details)

Uploaded CPython 3.10 macOS 10.7+ x86-64

pycrdt-0.2.0-cp39-none-win_amd64.whl (453.6 kB view details)

Uploaded CPython 3.9 Windows x86-64

pycrdt-0.2.0-cp39-none-win32.whl (431.8 kB view details)

Uploaded CPython 3.9 Windows x86

pycrdt-0.2.0-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-0.2.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pycrdt-0.2.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pycrdt-0.2.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pycrdt-0.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pycrdt-0.2.0-cp39-cp39-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (1.3 MB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

pycrdt-0.2.0-cp39-cp39-macosx_10_7_x86_64.whl (648.2 kB view details)

Uploaded CPython 3.9 macOS 10.7+ x86-64

pycrdt-0.2.0-cp38-none-win_amd64.whl (453.5 kB view details)

Uploaded CPython 3.8 Windows x86-64

pycrdt-0.2.0-cp38-none-win32.whl (434.1 kB view details)

Uploaded CPython 3.8 Windows x86

pycrdt-0.2.0-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-0.2.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pycrdt-0.2.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pycrdt-0.2.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pycrdt-0.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pycrdt-0.2.0-cp38-cp38-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (1.3 MB view details)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

pycrdt-0.2.0-cp38-cp38-macosx_10_7_x86_64.whl (649.7 kB view details)

Uploaded CPython 3.8 macOS 10.7+ x86-64

pycrdt-0.2.0-cp37-none-win_amd64.whl (453.7 kB view details)

Uploaded CPython 3.7 Windows x86-64

pycrdt-0.2.0-cp37-none-win32.whl (434.1 kB view details)

Uploaded CPython 3.7 Windows x86

pycrdt-0.2.0-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-0.2.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ s390x

pycrdt-0.2.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ppc64le

pycrdt-0.2.0-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARMv7l

pycrdt-0.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

pycrdt-0.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ i686

pycrdt-0.2.0-cp37-cp37m-macosx_10_7_x86_64.whl (649.7 kB view details)

Uploaded CPython 3.7m macOS 10.7+ x86-64

File details

Details for the file pycrdt-0.2.0.tar.gz.

File metadata

  • Download URL: pycrdt-0.2.0.tar.gz
  • Upload date:
  • Size: 18.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for pycrdt-0.2.0.tar.gz
Algorithm Hash digest
SHA256 a560faaf1b912db54e35046c148af8a07c2467e445d5a84ff36ee4043243f692
MD5 84958a5cb8579b4a373b99b30062cf71
BLAKE2b-256 cf5af987f4e74ebca52f824f062ef06ad52dee3ddb188eef67c5449c1f1bb24e

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 71fba35087d276729ea7970a2dab195fe31bbca9810f464b5504ddcab14807e9
MD5 7ea2797f198dc5ca531facb1c7cb47a3
BLAKE2b-256 bab3001916aa55222eaef9759d182bd324a8b2c8e1b70fb29a1ee6ab9a9a1c75

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 0a11f13addcad5b67d363962a153e7e40e5a642a7e485b347db97594663fcc7f
MD5 b3e75a58d4fe42156d59bf22b980d30c
BLAKE2b-256 f4789f0bddd6702e19504cc08b61ea50b4471a4999f89c427418ee761ab809fb

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 c0c702b3cb1c0ac5b11c6882a94f295a9807de9198c93aec3d18c4d782a78a49
MD5 164275f479e06466f8563d23812329d5
BLAKE2b-256 7cb949a2f2e9d5dc3a8a42ec0a8048f958321fb833687e14f11c25a182b47cc9

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 b02c1e4a385e3b7cd0a93f3b4363bb197a5a310a1627d1da4097d92f8c2cece0
MD5 40302d44ddf286d48040a36ced3ab1c5
BLAKE2b-256 bb2decf93845f18fa832851b3d58da4824ffb82366afb701c591819464073c49

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e8a1893c596f3709347b83be2590dc092403001d455b168626af39c3321c51de
MD5 4427121de6e142e929cd4a031a348102
BLAKE2b-256 39c953b8b77042763edfb784a72355a97216a86f7744c3da59b4cd405e9e1efe

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 4171b5e48774066e54a5bd48f3f48aa680e9564d3e3b53330cc33ac02d396ce5
MD5 113d58c73c005225a03708698eab5ac1
BLAKE2b-256 ba83d8a08a48417a8559ec47ffedb461cfa32f899a194f086650467780f98f07

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp39-pypy39_pp73-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp39-pypy39_pp73-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 0c925093a0568a675844c1cd9943e7706f1961ef76314249b06514dab20ea032
MD5 bf09175cf84a2d44b44485b9d2137ef1
BLAKE2b-256 ca838e3f692f61a6a8a2837a49cdc1efc4be7ccd15a242c73bdbd7e02d12dc61

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 b427ec3bb4848b422618a8f9458bd8fc1c42cf33ceb1a6793ef1e2e821da8f9c
MD5 b5d935ac1974e87c810b0b786311b9bd
BLAKE2b-256 2871fb226d69b028d0e171cb8a545fb70817a5c28d54369a97f4c871da4589c8

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7e887c9b7cf8833c0e499210f97adb3eb902180edb1c635f272fcc1740063241
MD5 2a56cedc64bb9e93b83cef8e837034c0
BLAKE2b-256 c0cea9685abe062a157c53bd3126361921e8bc16399f7a00e9535cce062bc8b9

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 7925221a1db030a1188425430120d15329aca0ca263291f450747be6a873d515
MD5 11cb783af60cf94afef081805c21845f
BLAKE2b-256 59be8a48231906d55bc303f3bdab250f886f3926d3fbf9df5687db756194c89b

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 559937b1a1c4f62493322d4ec79b6ce4a9381a6f13fbc80e78190c3dc278540a
MD5 b7a562fd83e64654145abf27bca280c2
BLAKE2b-256 6d842967d75a407c6c70aec721514b3d1376ad62fcdae3a84d51f5b70d1e0f05

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 28b880ed72f10e9878edf18b1270c3b709b2ecb6031d1733ba20714e89961326
MD5 01dadadd403bc86ef65e4bd67a7bb7ef
BLAKE2b-256 37c149ac1020f6b336d1edb88d2d172133fe4b7921d78ecb845a281b9cdb1159

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 346229b35ce45316515ec07ee614cc1fbc1942187fcb23d1b7aa09747523ed27
MD5 ae5fa4b0bfbe92bcf6f33b61c365cdb7
BLAKE2b-256 cac598c880f1d9106fd601dc2c1b0f44305f064416655c555de6defca2d0c3e0

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 22039368c0db3bbaf8c7b3764189865cf17b40b750cb0a06a727ca2e1a1809aa
MD5 7f8b7efc8be2db599ddeb9809438bdcf
BLAKE2b-256 a4574eee648ffc1c31fc20bd0f142a39965a89752485931964107f9c9fe10a37

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 f59fb8b46e721bf6f9c0b5e8e0326a7c7ddd04e4eb93942deee8fcb7fd46ac97
MD5 4500a8585dd9f9f6f3d1042793ab65c1
BLAKE2b-256 51bb4beb1b15d96c397b4d95e9882be2d480d21344be310bcd934723323fb6ce

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 8bae99f77b9131ae1657d1e79c72095798ad23ab65e5a9b884e08557332f0c9b
MD5 91c59d687eb41c6b1b7c6f4215c374d6
BLAKE2b-256 a83182a4161bd4a770ccee8ef9d841e90836e25ea016c566d8a5e99818e43e27

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 eb1c9801701b37f102f914f07528d8600091b568326617f34b244e182b84aa83
MD5 e967284dafcd9dd91435f27a231ba9cc
BLAKE2b-256 a810f95ce132fce1fbdf75fe6afe99a61703f9a10f1a573a34ede2627d0ffe8c

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 b25f1cc5ce8a63f378341173fd71ebbded86653a44decb0ec418733e7403f705
MD5 3148126c434ba011bf650abd11e12d28
BLAKE2b-256 f9c3c02b703f4413644e3d26d94638ec5127b0a4cb4c851b6e6be0645748582f

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 00e9319ad3ce8b7fa0b0a682538801fd629b7f0e2ba11b1164f8175a5bd3d4fe
MD5 d27b208e6060f933b9c4e204b5a98104
BLAKE2b-256 c89038e50db89ca4abc05c72f206551e2b29681e71ce3c71dcdb942c80df5ab3

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 7608e3fc53305e36874040f84a9815dd30e7931954d88e12a11407adf169cb72
MD5 4214d68c274e7f7d06dc9f033ff75a50
BLAKE2b-256 81482cd97e0a343029200a1015540f160cd54899786bd46c99f834c6bb191d9d

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ddaf417980e5631d8b4ee6fb524c6ac75553ac40b65ba0b6ad22e19ca3d4a607
MD5 872b58aa5d991dcd4357e9da3b8b5fc1
BLAKE2b-256 1baaddb7ce5588095847e41a5b4f3250c7f31ad166bfa87019220557f4ec7d9c

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 ce712cb99c7c80d8eda526ca315fb3788541c723278db1c258c613ca19626695
MD5 8e116faa931556198e8f6be005d61435
BLAKE2b-256 c5993ab4bbc760294dcfacd55f6af903685951b5cfa6f0fcd5c5fe0cc50cc7c0

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp312-cp312-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp312-cp312-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 50ebf3c6a387809c8263ddfbf91434674a76eaa049021f5234be9b8966b49a52
MD5 3ad1c3c6004d86ee1f64cdd07aac4cd2
BLAKE2b-256 cc2ce0bfd61d4e20d4ea317f4a1470713ad08ee749ff449e4b35e7db9c1c3c1c

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp312-cp312-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp312-cp312-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 d02ef78c8a813e79a600e28db1dc0bf2dfaa2c4ca7053f07603b0bbb7dfa3839
MD5 81843767f3fcb9a21433f6bdf607b191
BLAKE2b-256 0a09643d85a95ee3ef7df9f2d7d2e55917add5ac688c8e671bb834e7371b647d

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.2.0-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 453.2 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for pycrdt-0.2.0-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 4ee36835ececae3b211e2ac2f21b35e791e4d26fbd2f603d0ff3dbf077d0f8a7
MD5 4874f00c802f43b594539b134dc10e5a
BLAKE2b-256 85f47560209dc062e272358ec221d6ba4ce3b08e807c0d0e793c7787968420bf

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp311-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.2.0-cp311-none-win32.whl
  • Upload date:
  • Size: 431.6 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for pycrdt-0.2.0-cp311-none-win32.whl
Algorithm Hash digest
SHA256 f71cab29ca71ef0b2819806a69238050efc3bcd723a8376febf127108371fcee
MD5 d4189947bc96770cfee54a6c147ed20c
BLAKE2b-256 ab36364fb75f5a854639e4b3076bd028fe27e7c3a1071df68e939bc2ee092c64

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4ac2b3b87c63d563ed3d1c3607f8d216c17ed499a33fd3455e54b402a23bc713
MD5 e608c88d54688ae66cacac4474974d3e
BLAKE2b-256 3d9383b3f23b455aa6ce04c55b3a211bfd3c77d689bb22de879b119f2b2b7b9a

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 5f5b829693a72c7b470c4355bd85423258293662ba70f84c38ad1249c06789f2
MD5 3aa9109bbaab539fbedaa186798d1f8f
BLAKE2b-256 7ef061e75ad34a051d82cd7596a60b08980268aad424348f62e4f3ea2308d3bf

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 621530e93959e2e42649befbba0e6138d70eaffb2062de1c2001dc527f48f352
MD5 24f38ab7c4d0a64e1ddb0d0f7fad3f44
BLAKE2b-256 ce83100ee9647b8879dbc09f4df9c5165902b6321371a072b84c2af721a1ada9

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 bfdca5a6f0c7e78be20be2644bfd38ce8df886a0b7d5ea7888448134d5d45bf6
MD5 ad253564f082bd83d1e9205986dfcf10
BLAKE2b-256 b3122474e506ad86aec8ec09d0dd3132ebc60e0b517692a27f68ae85638cb9c9

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f995bd0450e611fca6146acfa750c76e1f75394e6810db22dc5ed40cea3c449e
MD5 4c1d939da1c4b376ee08e6bdb7a85fde
BLAKE2b-256 bc64e38ae4514ba62984f27e23a10f3f2a8d9278f1f7a30cc90f3f5273516b9a

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 aaf36c11c46f2c8ebc0c29eb525e3a8ae45db1b45de6c15318053b51645ffe30
MD5 dcb0d7df40be8450c603715424a95910
BLAKE2b-256 7fccb8fbc5e311cba72cb0cbcb3b0e241326d4bf0f456b4d484b2ac2c7d2b0c9

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp311-cp311-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp311-cp311-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 ff6e37097b7a3d083b7bae790e0b8d448bab3349321993c9575c641dbe8df058
MD5 728400ca607bc7621e140b18de5850bf
BLAKE2b-256 8a244e977f27812177188b42005c7a008c6133d09181542f87ac38691d2d7ab0

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp311-cp311-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp311-cp311-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 398197a1dfaf86a9d736c9bf982189ac609fd9592aa135744488b97bd3991abf
MD5 4fb70ed4aa466c35a809c5c01dfe1921
BLAKE2b-256 7994074b2a7bf503062dcebe3e81e125cee17b92728bdffb8bfa6febcd000a0b

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp310-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.2.0-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 453.1 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for pycrdt-0.2.0-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 f760e4f2d7c9c6f974e3d21d56fc108200369de893030789686062d946f1917e
MD5 6eb24e3f81f9890d2db7aa3cc571e232
BLAKE2b-256 5fece1964c380764d10c8649d502859eabbdbd1b9ffd267a1fbbac904d83b04f

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp310-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.2.0-cp310-none-win32.whl
  • Upload date:
  • Size: 431.6 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for pycrdt-0.2.0-cp310-none-win32.whl
Algorithm Hash digest
SHA256 f5d92f2018c38789127b016073249f2cf669d52ea16aacd05e48d3c71a19bcce
MD5 2860ae2a03883f22001b77d87de69914
BLAKE2b-256 c84c1285bf8b8f132dc03248ecbc949f1460e8d395df3bf18209064aebccbf38

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e9191f51940189e91feed9e3b2ec7702596c26e6d87128fdb93f30542f121c50
MD5 01c7a454c3ccff219a1d2b8dbed4a2b4
BLAKE2b-256 fec85ba45000662a1fa2fd002d0f3d7b5d1473d8eff6a69e0380df58a655c631

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 651d245b7e91b22d31dec9053fd3c0001bb0a6d21dce9b379fcc56f4039e84b6
MD5 b00b67441bf7f3f92e0257179bd3c406
BLAKE2b-256 a2c32fa6a7f76fe9e24586cbacad4faf16a0f6038a7ad6a4f1be7ae36d8e1cfc

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 77c38556ef98e80c4cec67a924a98b9c1c4ad1148674f6f30f3ad10efbdbf3ef
MD5 f62c39644e8fa27be9ba4f7aa36facd8
BLAKE2b-256 8c7766d95162145fdbf58195558921574522da74d7d8f9eaaa4db4685f6946de

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 a9aa703f8e605f0edb353918fc0e945a33568ff5f7b8d1da8d17563c0551219a
MD5 a889b66203316374f5bf994e0d0d176e
BLAKE2b-256 28b0bcebb746c42a8e191cc51e254262b9bc9f1895c7b25e81191f0570d6dc98

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 74fac29a26b7918b0e97526f6a03f5c53daeccd4a3bcb626d5afa1f02f1eef07
MD5 e7e080a26b35bb7a7e6e010f36b7b88a
BLAKE2b-256 86d673bee05a3f678ef41882ed1edf2ec9b59154d883de5dcff26e69661cf1b9

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 62893783f504b6038b7e135cf340cc42a365df864526f2933cbc7cdca0be4603
MD5 d612f75ff79dce19e8a469f9df4c4bf5
BLAKE2b-256 af539e60910012ca4d46066df11a78e231cd6b8ead06fa4b69ae78c74705997d

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp310-cp310-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp310-cp310-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 fa7c653a43c63297d5a178440d34fd357873bd42ef832eedc39bab71e42fbeed
MD5 9b74d2b6a2f91b019168e92e59836343
BLAKE2b-256 1de2e401fad26b6447a3dc04350ba3bf3c91ec6ee5e4c96967cc934b1d4fc43b

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp310-cp310-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 ac56c00307397997933ff24f326a3db21341803ea56e75adbf3dea0c4cf9302c
MD5 c9ca2726b1630a9d1db4a8509051f339
BLAKE2b-256 89d6dfbcaec84c139b56f70dee5f2028c28f636ecd753c428b248b18c276e3ad

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.2.0-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 453.6 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for pycrdt-0.2.0-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 88418c0e83aee50b5e305ddc1c11fbd243763b0f4274d049cf7bcf79a1b3cb88
MD5 92bdf9bfa9185f88f8d9899382bf3822
BLAKE2b-256 7e01d7efac54b3510aed8775ea33238d71529e1fedf53875e60d2cb647a341bc

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp39-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.2.0-cp39-none-win32.whl
  • Upload date:
  • Size: 431.8 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for pycrdt-0.2.0-cp39-none-win32.whl
Algorithm Hash digest
SHA256 b5fc7905a0d85c6efeeb2212ef0fcab3bf33a8a636589f99fd8aa6540f69484a
MD5 3554320469a885e7552cfe70919c7fde
BLAKE2b-256 10789432024480861f7723f3d9b625a14c0189cdab713bd7f82532544ce02037

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 467a663e21fe75aaa584b135396531de7db56d3cce058f161393b81868dadd49
MD5 dcfd899f1aa2073b5ad3f17b789e9616
BLAKE2b-256 f8ee389a4af446b1382b5e1b903e2f34aa8cedbe45fb2493323977a064d96b9b

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 f0f35a5b06c4469e3b3098a1ca4fe54d31e6b28f19868e5821553b91b597a7c0
MD5 c86d7f39d74f0127a7ed6691545aad1d
BLAKE2b-256 995de37e3d9b3bd9c72a4fafa6a6928e6c9f65082619bde25104c2abed7f15e7

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 a47564d6d24d3c80d9beb53131628d089f1cd22c3e42bf0b462add29f11bdf2e
MD5 a518490855d729d7d2f61eafdb02da4e
BLAKE2b-256 c9c9c3d31edc3d10b9cea06b6ab6f437efbc10a05680a7f9881783362a70f8d5

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 35ee6641cb1bdc3e907d2b631dc7dd79c9c8ae91cea30eef3d599100ace36a92
MD5 6920caac06041a6c4fa7b1f0e4dbb72b
BLAKE2b-256 fdcc4547c339eecc969e4e5c6854cc4905a5cec9d32cd71cf53b9f6775b48556

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 87de76753466668ba524b3b803725eb230f3db4aed9562c63b057cf8f756a221
MD5 0f2dcc9bbbafc91368e267358f1823c8
BLAKE2b-256 90d229daaa21087ba6cabbbf4c4f28a1e401e6e7c2977e2e915156e7b802ac4d

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 3aa7a4a20174dbf2ac2171aca2a653320bbb40ee9769a5ba15c3d73458f4db33
MD5 600c6ea1202182992b5312e0c63a3601
BLAKE2b-256 8b5e29bcda701c3ede83442b10353eefaa4ab17afdf8d1d1f86026d3a1bb202e

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp39-cp39-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp39-cp39-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 13072b3e091d24b3a421f8d140cfde8b00c6901b7a00b013453886b3e59aa9af
MD5 ca64c4e1ddeaedba150251e4dc4517b6
BLAKE2b-256 dd305ce29a767d2b53a0d060f5031e0e75767fc385cba0ea0e52e4535b8d1f6b

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp39-cp39-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 cde06a9f5f3080e7bda9ed6f3106575085a623290695969d71a826f776bbc701
MD5 f619a8eede8e79d1ea4d032c3b41a60f
BLAKE2b-256 2fac35dc6103d443184da66c1a31597bd96dd5b1f3e53902118ddede5ddd49fc

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.2.0-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 453.5 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for pycrdt-0.2.0-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 d686c47a47308b44521a13727b68d1cf3501c504669395d614e0579b299dd230
MD5 c8f95aa67eb3ec576eb9572802159556
BLAKE2b-256 5894c4a2875cb4f6832dc0feea923a9e8ab13ed72009cc1e06e609dd81944110

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp38-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.2.0-cp38-none-win32.whl
  • Upload date:
  • Size: 434.1 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for pycrdt-0.2.0-cp38-none-win32.whl
Algorithm Hash digest
SHA256 d5c4e3be0c98f416871b52d9116371b7ae59b36a7ee8ff2e1bbf29e78faa7322
MD5 33fec31f0990fa78a30f74573fdff00c
BLAKE2b-256 d32a284a4b909ce659a65483b1f9db5dba6bd3526966a1a10156c5df3a11f190

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3f9668415c123562199fb07ee459549e5b70d208a4f75ea9f94ceb4962e64fac
MD5 4dd3b78bd387f6e82c4518b1e0f996be
BLAKE2b-256 4e0b1d9c1983d18a334f9f03f380e662f1cc89962d8a8d6b46660c8d9adf16d6

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 2bdb1a1b049b6cd3e538f2b71e2939f728b481954873ee7f1a63cd60c62efa1b
MD5 1953153cb2db8cb61ae956fbda6219c1
BLAKE2b-256 346bbd6f19bb510fb225be1c60de50a28274c2a32bb221c22312919b54bbd895

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 3b55714a1097db14e13d7437ec871b19773fb7f2318117b748313fa207ec4ffe
MD5 13f26dfdefa947acd8bfd57ee80de559
BLAKE2b-256 0826e0e0b49aeb4ea89d30ed624e3e7aa91d607649224362e101cee1393a3be4

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 1e484452e86f6bca1cc23df3140731b06a0f44f81cd9f376fcec73a1e78ce76d
MD5 32fd73a6d14e3beeab2428e81894496b
BLAKE2b-256 172b3a89d7a18e7295c9d4d2475b596a3d675f62ebd086b1c2a6cfce6c287bac

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 042a07494b3774b0c3707df51e9ad58cc45c0e533440dc2a8579270143e33f3b
MD5 599ac2c4d889fa5ebac79f0ba2406c89
BLAKE2b-256 f9be2282bcad22f28483b737a9a87ebc7e220f1052181e13b0b3183c1174b544

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c175ffb2ee916d919f6ed50cb5d5efaed1fba0894e2ea966265f53740467a007
MD5 3c176faf7dfeaec8a71e5c99cc69d9f9
BLAKE2b-256 948c713cfe6837d9ea7e168ae89de7fffab61fcf1cda09206812bb72391cd89d

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp38-cp38-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp38-cp38-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 d7403fc415c6977ea2d40e7e0e917a4617977ed4408183f8135f2b77eeae5dc3
MD5 a390b02507b475797b34b0b426a4306a
BLAKE2b-256 a9ece5bde4c0de34d40913fe1f5f83d3a0ac944423ec25be26cc7b9568d5e8b3

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp38-cp38-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp38-cp38-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 832081fa9480b62685f02a8eaabe7c8fe92e98eb188409e54c384a183e2acc2f
MD5 3ff22293cc98b63ad40a12ab072fa894
BLAKE2b-256 17c5ae33bd899a6d84f5e88cdc2cc25ba78f1e82a4db74cb1c395ae25c641255

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp37-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.2.0-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 453.7 kB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for pycrdt-0.2.0-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 c99a05d6dd497ea72f90bc145f5f0f12d1fe59b7eaec2e8e7874bf2ab0078fef
MD5 dfe7f7f78e75057a32c8cdd4059fba26
BLAKE2b-256 c427ace25379b59ba1c7298437ea416f3f030eaf14080ac6486553281438a886

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp37-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.2.0-cp37-none-win32.whl
  • Upload date:
  • Size: 434.1 kB
  • Tags: CPython 3.7, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for pycrdt-0.2.0-cp37-none-win32.whl
Algorithm Hash digest
SHA256 b2b255aa32ad516fc8336ba53c325e16341b48d1e059570f185edf229c042061
MD5 19572d9a0b7e55cbbe065e60d8b6b182
BLAKE2b-256 92ddba2d93ca41edd70636a659b4dc41d86dabf4ed7de80dc59c0d838ced4291

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2a2beb36a95114f57aa944e4d7f440602e9ce3d1b00eec4f65fabc89e9eff84d
MD5 a2bca208ebd0dc142d71d86c40b66fed
BLAKE2b-256 e3fa615df6c80d940a423e9fdbadc18b1e11b04f2595138d324297a10a349b14

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 3bdcc8283cbd18112e2d9f9f505d00634cf0f400b1c6de751030c2d462a51d9d
MD5 b916f57590c900c0914777903e58dbcc
BLAKE2b-256 aec291cb090ce58c782536fd0f8666443558b705d90b5ef5e6a8c32846fafeba

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 7f1b9cfbc1e73f92669a5b2db5710ad46a109e6ef9146203cd13e7b0f039387c
MD5 2bbf344c2d60b5a133eaace06912c510
BLAKE2b-256 4cd5628fb5db92b077ecb87245725ef0efa933128e3e4c3aa157dc344a142ce2

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 3702b7f70319ff6314964a0629e19b86c49ba0be7d528e836a380f5a5e56641c
MD5 1089109afe8649c2186fbf32c171acfb
BLAKE2b-256 7ae1577cae0815326870f7ba53483b53d733c961bc4d1ae79d6323862439807a

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a54743b91aaa6a543928c0cc1c75ece4bd86c45553b8583ff0ea04ecdaa97be3
MD5 2c02646a55a7ed9b9024106cba853d7d
BLAKE2b-256 a32861bd904be37fa5c0a2cf7aeaa5382c032a6430516fea5af497b8bbf88897

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c21ede0172619e8b7ac7d580857bb9bed3582a22a10d0cfb2908aa47fa312cf7
MD5 f9dea7a861f140a045c7b8426d6f663e
BLAKE2b-256 0d4a395b0c0cab4dcf360454a8fa648d981dab047ac8dbe8b3a2c099177e397f

See more details on using hashes here.

File details

Details for the file pycrdt-0.2.0-cp37-cp37m-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.2.0-cp37-cp37m-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 de4ef03db190ddcfd3bcde39356957ad62974720d858a2d2638be9c441313ce2
MD5 1cf071ef490db3514461d40913ad2935
BLAKE2b-256 294d3ecadf8e2cd580eb4ae70aa6796589dd4c56f44b58145d179deeebdccfb7

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