Skip to main content

Python bindings for Yrs

Project description

Build Status Code style: black

pycrdt

CRDTs based on Yrs.

Install

pip install pycrdt

Usage

pycrdt offers the following shared data types:

  • Text: a type similar to a str.
  • Array: a type similar to a list.
  • Map: a type similar to a dict.

You can initialize them with their Python built-in counterparts:

from pycrdt import Text, Array, Map

text0 = Text("Hello")
array0 = Array([0, "foo"])
map0 = Map({"key0": "value0"})

But they are pretty useless on their own. They are just placeholders waiting to be inserted in a shared document. Only then do they really become useful:

from pycrdt import Doc

doc = Doc()
doc["text0"] = text0
doc["array0"] = array0
doc["map0"] = map0

Now you can operate on them as you would expect, for instance:

text0 += ", World!"
array0.append("bar")
map0["key1"] = "value1"

Note that an Array and a Map can hold other shared data types:

map1 = Map({"foo": 1})
array1 = Array([5, 6, 7])

array0.append(map1)
map0["key2"] = array1

Every change to doc (a modified/added/deleted value) will generate an update in the form of some encoded binary data. You can listen to these updates and send them on the wire, so that they can be applied to a remote document.

We say that text0, array0 and map0 are root types of doc. When they got inserted into doc, we gave them a name. For instance, text0 was inserted under "text0". This is how a remote document will retrieve the root types of the document, after applying the received updates:

update = doc.get_update()

# the (binary) update could travel on the wire to a remote machine

remote_doc = Doc()
remote_doc.apply_update(update)

text0 = Text()
array0 = Array()
map0 = Map()
remote_doc["text0"] = text0
remote_doc["array0"] = array0
remote_doc["map0"] = map0

You could say that there is nothing fancy here, it's just about encoding data changes so that they can be applied on another object. But this is where the magic of CRDTs comes into play. Their algorithm ensures that if some changes are done concurrently on different objects representing the same data (for instance on different machines), applying the changes will lead to the same data on all objects. Without such algorithms, this property doesn't hold due to the fact that changes depend on the order in which they are applied, and that they take time to travel on the wire.

The most common example is inserting a different character on a text editor on two machines. Say we start with a blank page on both editors, and the user on machine A inserts "a" at the same time the user on machine B inserts "b". After receiving the other user's update, if no special care is taken, machine A will show "ba" and machine B will show "ab". In other words, their document states will diverge, and thus users won't collaborate on the same document anymore. CRDTs ensure that documents don't diverge, their shared documents will eventually have the same state. It will arbitrary be "ab" or "ba", but it will be the same on both machines.

Project details


Download files

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

Source Distribution

pycrdt-0.4.1.tar.gz (23.2 kB view details)

Uploaded Source

Built Distributions

pycrdt-0.4.1-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-0.4.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.4.1-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-0.4.1-pp39-pypy39_pp73-macosx_10_7_x86_64.whl (674.2 kB view details)

Uploaded PyPy macOS 10.7+ x86-64

pycrdt-0.4.1-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-0.4.1-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ s390x

pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.7 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pycrdt-0.4.1-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-0.4.1-pp38-pypy38_pp73-macosx_10_7_x86_64.whl (674.3 kB view details)

Uploaded PyPy macOS 10.7+ x86-64

pycrdt-0.4.1-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-0.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pycrdt-0.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pycrdt-0.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pycrdt-0.4.1-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-0.4.1-cp312-cp312-macosx_10_7_x86_64.whl (669.1 kB view details)

Uploaded CPython 3.12 macOS 10.7+ x86-64

pycrdt-0.4.1-cp311-none-win_amd64.whl (477.4 kB view details)

Uploaded CPython 3.11 Windows x86-64

pycrdt-0.4.1-cp311-none-win32.whl (447.3 kB view details)

Uploaded CPython 3.11 Windows x86

pycrdt-0.4.1-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-0.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pycrdt-0.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pycrdt-0.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (1.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pycrdt-0.4.1-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-0.4.1-cp311-cp311-macosx_10_7_x86_64.whl (675.6 kB view details)

Uploaded CPython 3.11 macOS 10.7+ x86-64

pycrdt-0.4.1-cp310-none-win_amd64.whl (477.4 kB view details)

Uploaded CPython 3.10 Windows x86-64

pycrdt-0.4.1-cp310-none-win32.whl (447.3 kB view details)

Uploaded CPython 3.10 Windows x86

pycrdt-0.4.1-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-0.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pycrdt-0.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pycrdt-0.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pycrdt-0.4.1-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-0.4.1-cp310-cp310-macosx_10_7_x86_64.whl (675.5 kB view details)

Uploaded CPython 3.10 macOS 10.7+ x86-64

pycrdt-0.4.1-cp39-none-win_amd64.whl (478.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

pycrdt-0.4.1-cp39-none-win32.whl (447.3 kB view details)

Uploaded CPython 3.9 Windows x86

pycrdt-0.4.1-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-0.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pycrdt-0.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pycrdt-0.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pycrdt-0.4.1-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-0.4.1-cp39-cp39-macosx_10_7_x86_64.whl (675.2 kB view details)

Uploaded CPython 3.9 macOS 10.7+ x86-64

pycrdt-0.4.1-cp38-none-win_amd64.whl (477.7 kB view details)

Uploaded CPython 3.8 Windows x86-64

pycrdt-0.4.1-cp38-none-win32.whl (447.2 kB view details)

Uploaded CPython 3.8 Windows x86

pycrdt-0.4.1-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-0.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pycrdt-0.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pycrdt-0.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pycrdt-0.4.1-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-0.4.1-cp38-cp38-macosx_10_7_x86_64.whl (676.3 kB view details)

Uploaded CPython 3.8 macOS 10.7+ x86-64

pycrdt-0.4.1-cp37-none-win_amd64.whl (477.8 kB view details)

Uploaded CPython 3.7 Windows x86-64

pycrdt-0.4.1-cp37-none-win32.whl (447.3 kB view details)

Uploaded CPython 3.7 Windows x86

pycrdt-0.4.1-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-0.4.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ s390x

pycrdt-0.4.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ppc64le

pycrdt-0.4.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARMv7l

pycrdt-0.4.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

pycrdt-0.4.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ i686

pycrdt-0.4.1-cp37-cp37m-macosx_10_7_x86_64.whl (676.3 kB view details)

Uploaded CPython 3.7m macOS 10.7+ x86-64

File details

Details for the file pycrdt-0.4.1.tar.gz.

File metadata

  • Download URL: pycrdt-0.4.1.tar.gz
  • Upload date:
  • Size: 23.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.1.tar.gz
Algorithm Hash digest
SHA256 e4e08244157477930ffee72546bbb4d336b57c0f1ef0e1df8fa6995b748d5308
MD5 a7ca402ddd6f17b94c8cf2817b536b86
BLAKE2b-256 e64080051f53e70a3405f8d081f59f02c33359883aa06dcc92aed00f9670e834

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 992a711fc6878f1d01c3b0697b42f2dee00f8cf1c1a9a1578fe0e613c71bb40b
MD5 8ad7be80d7b2958d13bbfb99e0178e24
BLAKE2b-256 202bb7f9444df909911d9e97b3d7bfb283f84356a1ee679699c7e86f33fdfd90

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 78476a30beba4ac4beab1069df797dd33d827de57f78f30be3f39685550bb945
MD5 9c69135ddec980b7175fba73849c9d3c
BLAKE2b-256 1947933e963812b74fefd9b345bef53b8478c4d37b66d028f4409b6991ed68df

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 95763e3d765f53b0701a8715af18353f56bf2a9fd7052bb7024ce5025feff507
MD5 78f8d5f68e51b64e6b616e5f0baf5d42
BLAKE2b-256 54a7104cf0eb3a7f2792e8e16eed477fceb341a83abb774aa7a08f99fadf4f8e

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 f194243324fe2401ed8da1eb63e5168635240f9ef012e6dc65b9679e7dd665d5
MD5 d0681bc764cbe69b5e7ec08731570fb3
BLAKE2b-256 7e1a8e9f42495002c6ddab32b8708f97941a0d32249caf6ee97b3e8e9baf40e8

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c614bf680b08ae550d507a7215b0ffaaa8ba4c467b146b2ee392103aaef3484b
MD5 6cdb84e1b9d6ee8ac27e1d2faedb6a6c
BLAKE2b-256 6cd29df45d1af766367255aab975eeebbda7237c3c4613fd17ac2ee80a19839d

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 8e3e674d1aab12c6c6196acca2ca964857510301e03eaaac6d32fd182801fe53
MD5 6a4a76bc8f3f116db9994be71cf6365a
BLAKE2b-256 f6bc9bd3e461eed29d055b2254338b81960ebb9478de1f284d1868183862945f

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp39-pypy39_pp73-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp39-pypy39_pp73-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 583ae8aaef89f587edcc9147f3ba1a9a7ef1596cf838ec7a68c165223b4464c8
MD5 6c5a56e78663341a1e802587f692fe61
BLAKE2b-256 a774f81ed4e2759ce0271429fc211e399b57b2589f0dfbf36c95e364a792ecae

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp39-pypy39_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp39-pypy39_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 6ad371fa562012bc9a96d99807c86de6acc4fc18dd1c80098b25b8d91ffad9cb
MD5 86ac383bd64a4fd7bbeba37cc36b4cbf
BLAKE2b-256 db7995cfd162730f8cd1b48acc5d3e2ba8a236086a91c23e930117f0adbc89e6

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9458cf810440cdeb6d6fc2e06ece566d3160cab54e6a5f1567aee67e6029411e
MD5 0e803e8afa309f2e6cabd805d06c3fa6
BLAKE2b-256 7b5ff269f44360dd87d4e3062f1c50185ef89ce3ec17d7ed076458e3cdbed7ef

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 205a65fe735322d5027d148e9cbe086d8516905644642c32f28538ae723788d6
MD5 76d10c52ed47f7cc332b2acd0d9ad2ea
BLAKE2b-256 4a5aa1c6bcfa65a4a4cf6feb5c9676abaaceb73170ecf9c6cdcb30c6b94c5bcb

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 743891c1fe9984b485a92855f9f23a11b2aeab8bc898f622b7ee1ceebed75401
MD5 573a037c4d8fb49b57065f8c88afcc87
BLAKE2b-256 e745855a80b758d2463e8656e609b291c34dfd883b656ae9604979fc2ce83c4e

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 6b070b1914de5d6653effca907a98dadee2cf8585e0c919adc1db2fcae6b5832
MD5 b3ccca3cb445c98bcb4439984983a025
BLAKE2b-256 fcaddf4aa57107d2f8c1e3bead55ac90859fde8bc3049067b1d9a5ac22f38851

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e9fe4664938daf45ff559753a03ba533a014b8c38616e8fb432d152ae535e98d
MD5 5c41200f49aa31718c36710e791b9efb
BLAKE2b-256 6df28424b06bcd45b4becfdd93bfab8cd1b7e36942a474e285700adf7896232b

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 d4cc11ef2a2cd8ce609c0a7b2158155b427a010fd3ecf354fc73136266711e21
MD5 3c467f056198e35e63e5cd3d5170a610
BLAKE2b-256 e1b2e14d0a48ae6db25761bf333dc2b7a7507a642977358ab1547334453d23db

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp38-pypy38_pp73-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp38-pypy38_pp73-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 8da18377a59ee5c2f9598abb9f6228bd62ea5c6fcddcd12c284de751c04995c0
MD5 fb2a40026e1cb70e6be0a552a12db5b5
BLAKE2b-256 dea2d61d056d382000eb86dd2d75acb84b1b6d00f847728fa8cb48308df86e87

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-pp38-pypy38_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-pp38-pypy38_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 7e946e388e2efeef121b3f7449f0e2df7a9ed89ea41dd8f519f2f40b4a4e1421
MD5 7c1f3b87e5b253c0c8eceac0bc30d64b
BLAKE2b-256 314223803e6e89f93cad82bb0f7294d4b5ea8714af5ae6b15f385bada11026d6

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f8d8e8f2cabe69883b0cda10bbf23fa895232b7921e19b0fd51593ac56039cd3
MD5 172b19776da3cd1df0522fe88c7b142b
BLAKE2b-256 9e78e0831330062abc85c7c77a624ff11cca9763c999a6f6d99498dd3ac027e1

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 60e978e1cbec94d77496163a0b597dd076561a71813490c61c75c2715544134a
MD5 3bb9daf9a78361cf9817f411380d0513
BLAKE2b-256 dab8f18835203d6b49e51fa657fb061fceea6f3456ca6771f915f3a446334c0a

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 05302a7821040d3983560341a70cc544809b4c915633771b9a8ab1e300c46a1c
MD5 a39e8d868755bc35cdf45911285363bf
BLAKE2b-256 d2d4abbc375bd3f797bc0ded342c9329aa7bdad019f0a0813d7c579b13f3d11c

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 d8f6b9fa19a9e2eb360e5c7a4e35efda2c8795cb74d9b62180cf67af36a9867b
MD5 9d9365a97e5e59293ce81b4d8761ff24
BLAKE2b-256 b3ced03292766295071bdc0321694611bbf132f6de38b4af07e6009e621e387c

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 797cc0d526b00fd51d9c5ad7062f613fb4134a00e9883a6b348f44623b784da8
MD5 40a579f25e846b02a999298d590c9e53
BLAKE2b-256 a115afdc1eb42994aff3e6e2c7f512b2d18d9dfdc67d8bf0613b9bf0f017e5e5

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 17548d549e347e6c469a5d98c145183d714d7123f6a4afc7b4a59a4b89945747
MD5 490a249c734d89fedc880ed3536a84b9
BLAKE2b-256 b3c979047a0fb3c50a5f186a516526cfd9cabbdd163890771d74986fe5946297

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp312-cp312-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp312-cp312-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 8e4686c608032647adf0b5e21636fc013500a232d7afaa82ce13df08f0269980
MD5 f222fe164c9e55d6158c47bc11b24048
BLAKE2b-256 7dfebab8ef0e5e431e8b72440209e6a415dd8597f12e092b97cb88956f8291be

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp312-cp312-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp312-cp312-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 41c75dd35549efd6c37ddbf081828bf924e44b6fd478cbe2b3f6a014de39a46e
MD5 f3dd2623406a787410be4e930c8ec945
BLAKE2b-256 239cf644787c5c3e4351c3e35ebe9ae28be12acb7c5c4fdf64cad5a2edcbe454

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp311-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.4.1-cp311-none-win_amd64.whl
  • Upload date:
  • Size: 477.4 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.1-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 920713a9d44930ccec451db9582490d3ab26681afd77e2cd94389536095bec90
MD5 316ff7f02969945c6813c90e26b88b35
BLAKE2b-256 42bb02506e53f90030e8109fbdab93a8987c2d10d2e28ebbc7b2e65f76c4ecb9

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp311-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.4.1-cp311-none-win32.whl
  • Upload date:
  • Size: 447.3 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.1-cp311-none-win32.whl
Algorithm Hash digest
SHA256 64b3d6ce021b234efb4d1992a2ac041174ecc60c9cdf0dd420b4abbc9fca2780
MD5 05d5303695be9bf66d548015c1b6d76b
BLAKE2b-256 8b9af8ec280d26f6de565fab1b2eb10a4ebaf9a130c25874f03fdbb7830867fe

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3f28f39cc64d6686a1ee32202c37b8a43f2ffe2922759699a7a3a0f7c44d386d
MD5 409adf1974e7c96d0c1389780f832c5e
BLAKE2b-256 e219b3538ff50e6ec2c8975b8f21c43536b79396ad7038ffb2bf8f0a610d2b2c

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 122c09a4d9093fda9a0845b5e8f4296ffc7d39e04d9431dfa0739ace8d3a8458
MD5 e5ab26c1619ee860945ac243a932f7a3
BLAKE2b-256 322c8c7acfdc3775dd12eaa8b65e76b710f97122f9c33ddec8df156de8a58203

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 1bfa965b5d0b6753dfcfd2d80206e7a32f7bf3ac995585bcf764acf4fbcab6c1
MD5 d1b083c93a83ce55bbee3ff19862e396
BLAKE2b-256 9939ac46c9a85f0b0a116c593b3fe3ef80f0e5ef44dec2f9327e8ba4e8efff0d

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 385d8d12e31ec47cd3988d46bfb57b8b92d499743dc0be90c01dd89c264eb77c
MD5 0019ca919f4d7eef42e5087c76115af1
BLAKE2b-256 7ae08acc4dfb745356adc68b93f45b9fee445bfe300b9f4643005e1995626ec3

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 885e623e59901e7d7e713fd91bb187d7b6eb6e6aedf811b8f170d93ab4d0a99c
MD5 019cd72178ca4e5addd75cef89120647
BLAKE2b-256 bac87b9b62ad7ee0212462907940d5c5e10f24676757db2789a8e291548552b9

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 fec363ecf4d4168e8bf87fa4ec8a09b5716a728145655212867d716b9b0b80e2
MD5 a25d2ea20a1c91f0727a9497c2a46f6a
BLAKE2b-256 4afcac62ee7021ce9454897a0915e072f47a50c96b4c9b4237834a427402f408

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp311-cp311-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp311-cp311-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 8fd4b3f98630337038055723638a9c439959011f33dc4dfc5d7607a1dcb39c09
MD5 ace60dd3263d7f12a211b05206a118b7
BLAKE2b-256 439aed034c62630ef2db87b86abfa20cc9dc02f2503b5a7c0e0f34d7f9c8ee28

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp311-cp311-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp311-cp311-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 76a41b54af446a4886de55e13f64a70daf8a2b490ef8d88070155802ac4aa1c0
MD5 11f8dd0a6cdf4fe2da2320ac26a268cd
BLAKE2b-256 8fb5d635fa8e0a4e9b36fcd0216e9763813fe4ef3875cd44c88afb4caab7818c

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp310-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.4.1-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 477.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.1-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 494d50d7a2f4a71ea50153fe88f420a66e9fc1b184171afe5c59c24ce43577c3
MD5 89e92e5b19ea95468714d48d15b41ece
BLAKE2b-256 9982acda13e3e71823835b5155bacdd81fe4e4ccb7bdf0eb8a0959d01034b6b0

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp310-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.4.1-cp310-none-win32.whl
  • Upload date:
  • Size: 447.3 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.1-cp310-none-win32.whl
Algorithm Hash digest
SHA256 a22e55977eb6586fc79a63b5748280d42cdc58a3e88aa72ec1cc578ded5e3865
MD5 7540510a981182966c158cdf954290ea
BLAKE2b-256 e1175e1b184f3507c39d415bfdf03a6ae2529347f212a6f7a7dfd458eacbb9fa

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 25ce80b005323d99157d2b0209f00b4912b22d22512fb3fef3244036eb446c4f
MD5 67d5367aa9389f2064387cde82c0e657
BLAKE2b-256 8eee19a39910e841d8f49b97e0f727e359c472d9bf1eadca3a37c10b4987d04f

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 dd111679865d776158aa3c0af422c6501d985b55e1e757710e5b704ac315adfc
MD5 37b98e4adb17e55c3265edf15b9fbdbb
BLAKE2b-256 295a6ea592d1fbc0bdda4187c1a59981bac73d3a16c19ad185ac728489cf5aea

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 13f1cb02c91a6f4d201c3558f9fcdaada219a38e10b639368b0f1243a0c6766b
MD5 a2ebb2e97c376baf16a0d987f9c11a33
BLAKE2b-256 9ba26e11868201fc05ba0a84b1ec0a398b8e795e7dbe0acfc07b0cd27bbc9012

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 ecab3435537339f2d53e186d174a65c2222abecc1b80e3744adffa421962396b
MD5 9119b7c6dfed43f890ac53e1707e41f0
BLAKE2b-256 4f73210167330736debe2c07bf6b07921b0e87827321a16b1e6024eb6798abff

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d5addef0248f06db1f4ae885ad9c2e922a05b2044ddd3598611c8e5516cfd156
MD5 54ad09407987e55e9b7611fefc708f72
BLAKE2b-256 9275b11093732616d2f31913654df91e515b2a09ede9de6f610f7d9feeeabf48

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 a4bd69fdf6351dce44f5a5a12a916567be3b6382292a8d15917dfdd6f5aebfcc
MD5 99cc084f4610664a99d5ffb6a1960e0c
BLAKE2b-256 22d062b9e9036c8577d721188417a4e4b16b8500c1d21f5e08dffb9fbd9ff69a

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp310-cp310-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp310-cp310-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 f49105459cc7d7280f68a420accf6d4bd9be2803b6d0eabd7e3df15edadda15c
MD5 43e020cbf1a109d3779e767edcf35d0e
BLAKE2b-256 7bf92e8bd16f355bce82aea66cc12d8ce895ed9eeb7038571ab9efff0b13879f

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp310-cp310-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 670a154a95dc4027ccbe8e732bb37d355ed66a1e0158be7779aa28f0904c1dfd
MD5 ca4a9a198f5cffc69910fb3f0adfe035
BLAKE2b-256 d131335030eafcf8fb499604206c1dbfcfadee08e30b1f1e11bc6da9e7f47bc1

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp39-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.4.1-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 478.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.1-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 89aae46dcaac3c2791a017d17bb445d813740a95923bf76384a3d1c85537bd1c
MD5 5d9b83e561725276071120ad78af351b
BLAKE2b-256 72b4fdaddfa5489ce270accdde846fc09f72f755d088a2a29ea48dd3f614760a

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp39-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.4.1-cp39-none-win32.whl
  • Upload date:
  • Size: 447.3 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.1-cp39-none-win32.whl
Algorithm Hash digest
SHA256 853d2a30d702bd72fa0d61bf461494b1d5eb9d944e2ab26febcba39987fbd37d
MD5 e6abb82f3585071575ff8d59bd3a4e83
BLAKE2b-256 959d048142bd9087a9eca7fb3bc4297aa2ee5a594b19277610e0149bcc4f23dc

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 43c2eff862869d8029ba552d671e09a10212e9473e285159cd323ec32c7fbf3a
MD5 571dcdb143c89d1e8db4562c69b80884
BLAKE2b-256 bfcdb3eb119b8886f863baf9ca233ba86352c7cc27d187658448b1f59e8fc4b5

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 3f1efe32dee0d976c9fcdc53fd4b68d3cb5d33461cf29deda843171d05210f3e
MD5 3c5a33595b9153313eea62176588781c
BLAKE2b-256 f8f026bf34804efc5a595e3c19080dbb5c096d619544ca183e4f9f7a1595450d

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 ae21bc1f7667c280ab97b3c57fb44203a7c73b94b8f09f9aebc9d2836a0686e5
MD5 10759cf4ae7a71ece6c2b3cc24e16734
BLAKE2b-256 e0345ac77bc110bfbda4515de3bd4cf242b6a300b43ced0293ebccce72efb0a4

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 e4fe82949afb48b96cadd38f5b5729e81b569b4840b225baad969b19152cf50a
MD5 ece051eca1b0c6df07b6d1d719d12687
BLAKE2b-256 bc35337c2db32c186108f849a19fce3171e506891dd8e086a23957ccfe34156e

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 30d6fcfe5d3157e24fce7ea1898cdd3551841ecb7d274a8a3f8dc43864ccfa1d
MD5 151955dee357b3063ea3f25ed5982de5
BLAKE2b-256 acba813e8ce0147eedf372740cebad7a9b6a7a871f9ae5aa10838bf99eb24e51

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 859a0d2ad73c0d8b0f1017f4134e253ad0b3648d2818791911055bf2eddbd15a
MD5 b9ceb916f83335bec9a69f8f0ca7fbe5
BLAKE2b-256 7824cffbbcb2d76ed05fd407afbce19d18b9c7377d7e32b53f81e4f0bf8fb97a

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp39-cp39-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp39-cp39-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 b1e67bb528c3528be4963883c2913a2642fbb85007be60e83b099fc59fde759e
MD5 3a2646f0491fdc8e04e9e1b2ef050eb5
BLAKE2b-256 ba85ae603bd55e88bae48688d1a807c382e9d76a9a9225f4e02b356e274500eb

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp39-cp39-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 7ba4a327af6dad545094241bb30316f7d95e1026e1efa0ca3f2faa4d74877662
MD5 73f58bbd62b1a886d706689419c4c1d4
BLAKE2b-256 e2fc2d3556c823be1bf0ce48b9c0adf0c719a2bd666fb2cd596e3e8fe2fcb2ad

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp38-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.4.1-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 477.7 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.1-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 d9f4b12ba4872d89b36cb37d1e8c8b8284a3f1136e2b30ae93028cd35687b17e
MD5 78fb79660a4d8f284bcf6b03c8a4571d
BLAKE2b-256 9ff3e03e696bd4006c898dd6035f3f5466241db6ea7ecdd3327ef9100721d2c1

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp38-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.4.1-cp38-none-win32.whl
  • Upload date:
  • Size: 447.2 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.1-cp38-none-win32.whl
Algorithm Hash digest
SHA256 889bf3bf5eabdd830ff1a76e71d9120dd05945855ead0f264c311542f30f69b9
MD5 e1a439ed4a92a955888d53b43b1266dc
BLAKE2b-256 6d524d3f0aaaad0799979b66f740e5e3b167c86853fe8ba14027f852fbe21e43

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8fef27591eafb104fbffd4dc48bb0fe5d902361b815e0733d23a2fa233865e0b
MD5 0bcbc4162a5cb60eb4efabf58e680666
BLAKE2b-256 6297ae6becd82582af3590d18331b7a306912db5d03f61e9d7513bc327e007b0

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 64d696e7e6634dd94d66ccedb5530fe316626642a107281cc7762114c20bc508
MD5 935f6040533d52468d4ebbbd042460e4
BLAKE2b-256 4f3816abb9d45be7821fee523e52e327259ca37bd88a7b9aeb711e75a7feec4d

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 26c6108e0e1384222f78451bd7e6264b262e9e4a81b47415969c420c3e448d4d
MD5 aa3f273df1267b6e9c8151bff9666689
BLAKE2b-256 4b365e3dfd1e92500c1ef909048f5dfc2b58fe78ca1644b775f04f9258fc0483

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 f915cc0cfdbce0a7b68da143073d2f8e114c5c1871e78d53af82beaf75f3682a
MD5 54742362974f498c0c0f42e54b0cad77
BLAKE2b-256 217cc1a3af96d9005b33a8ae7c3ff7e2440942dc8c893e22338371a3974522f8

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 571eac7743ff8022508241eae643795174c97623b13ebfb4f98405eb89e77321
MD5 40df4c08b5f892c90ae492f52240cb0a
BLAKE2b-256 365d9eb4969def951f90d2f8c99eef3262d875a73148d50f47328c3de91ed547

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 f177468b8b17e71fbf666ddce49a5c365d7ae93157d2c12e889d4cb4fa40a2a9
MD5 f68b7cbede46e04ceb37e02ab3591ebf
BLAKE2b-256 c7632b258467aff6e1e32c3f073a2cd724f06cdd561101d88681b7ba42c8a0c3

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp38-cp38-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp38-cp38-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 230a8eac07e94ef2542eb6c71e8dfc4d2850da67f382b7ec93e07ff157c49ff4
MD5 b52907ed9e81a19def79ef3c7a2efae8
BLAKE2b-256 ffbdc9cc941cf046a2130b682c01ad13c8ccc01c9b2d72f4f9f6d73d15766026

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp38-cp38-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp38-cp38-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 6b6bba2b8d491eef86b4a74f49bf0d6595f4d6bf1d455933dce32a0be74883e9
MD5 e2400e767e7af3884a5612391ec4e37f
BLAKE2b-256 a9352eb67de80e659795ce890740eadabb937a140cd6e1fb57e38c35d05f10b5

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp37-none-win_amd64.whl.

File metadata

  • Download URL: pycrdt-0.4.1-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 477.8 kB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.1-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 8f3209454add3f560ea5e83a6258751caf123a485c42e8d14d0855c3ca9bb923
MD5 674eb0e831da66b5994d5e440faa497a
BLAKE2b-256 a73ad330458f2d819c840356c6698158dc7def610cc825484a38b893aeef7814

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp37-none-win32.whl.

File metadata

  • Download URL: pycrdt-0.4.1-cp37-none-win32.whl
  • Upload date:
  • Size: 447.3 kB
  • Tags: CPython 3.7, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for pycrdt-0.4.1-cp37-none-win32.whl
Algorithm Hash digest
SHA256 2c2ae26a0294d87782caa53f15dadfff2a7c957135013ca1c18c898027483f57
MD5 4be000314ba97a465128c63df2411682
BLAKE2b-256 d0a9e81f8c6a5ed8cfae3a486ad7bed34156260f3ca27eed3b1aa31f3cab9b1e

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 28fe2655ead4dc84efc5773ea05d93ec103e5646ed05348ff89e8af09bd42a50
MD5 4551e382447be7cbd3790d7c97dc2ec7
BLAKE2b-256 125a740e707821b7f962e6ae4fe5a23070678429c6ab25948766bb2510b09cf2

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 74629800c74aa4a3cdf90b3b576cb2029fce412b1404d92494d19c5a2fe0a49c
MD5 8166f1ca11a10f61143cd812d6ef116c
BLAKE2b-256 68a824840ef2265a315afb89d8247cc8ae857d55de09f197e48d185adbe7f6d8

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 fa51bff59c5960400f6c0aca48d83f197f12849a4aa6d945ac8da32e1d2e39dc
MD5 64755ba0067f525acd6e39afa0381e73
BLAKE2b-256 164e5cfb4e71ea3f2b8df004584a85e69a77345b38130b5d50d23c6b004be4ea

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 2589e141f90e6033e5fc575f9bf151065edad8f5878fa5171433ccd64a3405ea
MD5 c6af9afc13ee85ef9553857e6ef1581e
BLAKE2b-256 f25dbdbc4315660450071db3f53ae6af62f260f0c55598531da64f323c0898c3

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0f42b4c9b02c2140de20e5100bfdc55839349fc495b42ac40f6486d3ae376483
MD5 988d0654f6a096ba587303009c60caf4
BLAKE2b-256 088df6b3e730b8fb4fc6d0b9752cc420338aab113f95990bfd0188e92849d1de

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 cc50f0c8de716c12adafa3ec3ca948e4e59f50c5d6f1f73a72efcaf9f9c5a424
MD5 2514825c489e039098935a484e2ed4e8
BLAKE2b-256 4abc02a44d5d0014c00f9797fa524eaf072a9bcb8ec1939aac103a4e00db4a63

See more details on using hashes here.

File details

Details for the file pycrdt-0.4.1-cp37-cp37m-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pycrdt-0.4.1-cp37-cp37m-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 c97dde93be1d180857fe9fce64d665d1ab1e6cd0c8725173bf066cb350bd7659
MD5 75546d45a3f18ba4757ad30d3931c07f
BLAKE2b-256 3f0270380ef3768fe55d61dcbf382e23be7afe0488c67621894b25549440ae58

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