No project description provided

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for davidbrochart from gravatar.com davidbrochart Avatar for dmonad from gravatar.com dmonad Avatar for pierrotsmnrd from gravatar.com pierrotsmnrd Avatar for waidhoferj from gravatar.com waidhoferj

Unverified details

These details have not been verified by PyPI
Project links
Meta

Project description

Ypy

Ypy is a Python binding for Y-CRDT. It provides distributed data types that enable real-time collaboration between devices. Ypy can sync data with any other platform that has a Y-CRDT binding, allowing for seamless cross-domain communication. The library is a thin wrapper around Yrs, taking advantage of the safety and performance of Rust.

🧪 Project is still experimental. Expect the API to change before a version 1.0 stable release.

Installation

pip install y-py

Getting Started

Ypy provides many of the same shared data types as Yjs. All objects are shared within a YDoc and get modified within a transaction block.

import y_py as Y

d1 = Y.YDoc()
# Create a new YText object in the YDoc
text = d1.get_text('test')
# Start a transaction in order to update the text
with d1.begin_transaction() as txn:
    # Add text contents
    text.push(txn, "hello world!")

# Create another document
d2 = Y.YDoc()
# Share state with the original document
state_vector = Y.encode_state_vector(d2)
diff = Y.encode_state_as_update(d1, state_vector)
Y.apply_update(d2, diff)

value = str(d2.get_text('test'))

assert value == "hello world!"

Development Setup

  1. Install Rust and Python
  2. Install maturin in order to build Ypy
pip install maturin
  1. Create a development build of the library maturin develop

Tests

All tests are located in /tests. You can run them with pytest.

pytest

Build Ypy :

Build the library as a wheel and store them in target/wheels :

maturin build

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for davidbrochart from gravatar.com davidbrochart Avatar for dmonad from gravatar.com dmonad Avatar for pierrotsmnrd from gravatar.com pierrotsmnrd Avatar for waidhoferj from gravatar.com waidhoferj

Unverified details

These details have not been verified by PyPI
Project links
Meta

Release history Release notifications | RSS feed

0.7.0a1 pre-release

0.6.2

0.6.0

0.5.9

0.5.8 yanked

Reason this release was yanked:

Should have been 0.6.0

0.5.5 yanked

Reason this release was yanked:

Inconsistent wheels

0.5.4

0.5.3

This version

0.5.2

0.5.0

0.4.6

0.4.4

0.4.3

0.4.2

0.4.0

0.3.0

0.2.3

0.2.2

0.1.3

0.1.2

0.1.1

Download files

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

Source Distribution

y_py-0.5.2.tar.gz (37.9 kB view details)

Uploaded Source

Built Distributions

y_py-0.5.2-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.5 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ x86-64

y_py-0.5.2-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

y_py-0.5.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ x86-64

y_py-0.5.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

y_py-0.5.2-cp310-none-win_amd64.whl (529.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

y_py-0.5.2-cp310-none-win32.whl (496.6 kB view details)

Uploaded CPython 3.10 Windows x86

y_py-0.5.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ x86-64

y_py-0.5.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

y_py-0.5.2-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

y_py-0.5.2-cp310-cp310-macosx_10_7_x86_64.whl (669.7 kB view details)

Uploaded CPython 3.10 macOS 10.7+ x86-64

y_py-0.5.2-cp39-none-win_amd64.whl (530.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

y_py-0.5.2-cp39-none-win32.whl (496.8 kB view details)

Uploaded CPython 3.9 Windows x86

y_py-0.5.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ x86-64

y_py-0.5.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

y_py-0.5.2-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

y_py-0.5.2-cp39-cp39-macosx_10_7_x86_64.whl (670.2 kB view details)

Uploaded CPython 3.9 macOS 10.7+ x86-64

y_py-0.5.2-cp38-none-win_amd64.whl (529.8 kB view details)

Uploaded CPython 3.8 Windows x86-64

y_py-0.5.2-cp38-none-win32.whl (496.4 kB view details)

Uploaded CPython 3.8 Windows x86

y_py-0.5.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ x86-64

y_py-0.5.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

y_py-0.5.2-cp37-none-win_amd64.whl (529.7 kB view details)

Uploaded CPython 3.7 Windows x86-64

y_py-0.5.2-cp37-none-win32.whl (496.4 kB view details)

Uploaded CPython 3.7 Windows x86

y_py-0.5.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ x86-64

y_py-0.5.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (1.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ i686

y_py-0.5.2-cp37-cp37m-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl (1.3 MB view details)

Uploaded CPython 3.7m macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64

y_py-0.5.2-cp37-cp37m-macosx_10_7_x86_64.whl (669.9 kB view details)

Uploaded CPython 3.7m macOS 10.7+ x86-64

File details

Details for the file y_py-0.5.2.tar.gz.

File metadata

  • Download URL: y_py-0.5.2.tar.gz
  • Upload date:
  • Size: 37.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for y_py-0.5.2.tar.gz
Algorithm Hash digest
SHA256 313a13c0fbf2569c15ba20c53c893481f86df0e1fbc02e8a0ec6c72c77ee760c
MD5 8cfe1ec499b177231fc4d1e5dc48715d
BLAKE2b-256 638feb1bb56352a51e892481c86e2ab8220c73bb9cb6a67d7e765a39dc79b2d9

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6ce3d7d8121a2803947d45b6afc53f66d2d6eb8a6f3f37eb459470acf6591612
MD5 cd4e3ffbc2f01bb49c4095d43d8e1544
BLAKE2b-256 7927a76cdd0b04ab0361b146146965f73cc6d5aaa428ce1e5bdd19a5a47e6b86

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 1c0f69e3badfc789eb9e5788c848dd02226aa6edd15aea2982271a2f43a4358a
MD5 877a556092f67543cd0ea1a62e75b9f0
BLAKE2b-256 32b0c5c25c28e6fc8e9d8e7d778313c8c29a119289010de588bf3c9f4b57e14a

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6d5e1bbe2b8f71a1283ab0f665d6fbfadb62c24923ed0db443c8a03ce786a6ed
MD5 2b8d375cb4993663e4547a212d1dfb3c
BLAKE2b-256 d25cbad88bf2a1486dc79fc61d49960d42d016777b2304368160d4fe7cbb4881

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 63512b6f5492b5382a53c9ac4890343c1113157c40c637563969941d7ed30712
MD5 daa4ec12ea11c678d40788aeba6292f7
BLAKE2b-256 2e3ca0043c27df29d6a871b5b5261225ce934b3fb22aedf3fd2adbc27f3592f5

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp310-none-win_amd64.whl.

File metadata

  • Download URL: y_py-0.5.2-cp310-none-win_amd64.whl
  • Upload date:
  • Size: 529.7 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for y_py-0.5.2-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 4e36ab81d22a960bb118bbd90f0edf43173825c4d10a2dbe676611721aa8cdcc
MD5 deed6127acc0ce4ce870edb9003539f7
BLAKE2b-256 9897781810ef051c2a25f817c0df6dbbcdcb7f0bc0d6ba884b57bc97ad9702c6

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp310-none-win32.whl.

File metadata

  • Download URL: y_py-0.5.2-cp310-none-win32.whl
  • Upload date:
  • Size: 496.6 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for y_py-0.5.2-cp310-none-win32.whl
Algorithm Hash digest
SHA256 48e208a94ce6a703973d4158b5412f7f2b85905fa4c97050ecaedffaf42c7596
MD5 e6c375e39bff5093e74f6b9e358043b0
BLAKE2b-256 e6ab655fad66ac536631a0ba775bde03ec538068f2e0113045989f6ac9e4f718

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0fa2280e9ebb6ccfc330cbee688565badd0c47acc6dc535cba0ba88090d63819
MD5 a61f750240b745cb03b45c79e4706f1a
BLAKE2b-256 8ebc4eca8d9a3b6daad279c2e67e0a8f347d74974ec9354aece5cad602f856b7

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 4ea8330c525d7af2d819e665e6dbc7028e921122507687ad1764de3383c38a09
MD5 9cbb5dddb1b781e977ff12cbeba8cd77
BLAKE2b-256 e88ed9c2fb4e8b43284d6db7a5dc0376c946a90fd870cc27030d965448c81341

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp310-cp310-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp310-cp310-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 aff9f405d0d2a4a3ed608297611ac2e38dbc6c8d2ee8cff140534c791a28c016
MD5 1c9dbe5ed457f94eac8f00fdcdc78d5e
BLAKE2b-256 3e4eb2e1d6e37d1c439c6f10d2155785c3bd341152a9a6d039c8849bb9c32bf0

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp310-cp310-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 9cce3910a765c5de8e6dd50e55583e3376e118b6038f290db5ed2e256b54ea37
MD5 6db2b2a803443de71cf93de787d4cd4f
BLAKE2b-256 0ca40bcd0459bf330fdae245d9d7ec5c18a5b4cf92fc5168922ea81faafd84fe

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp39-none-win_amd64.whl.

File metadata

  • Download URL: y_py-0.5.2-cp39-none-win_amd64.whl
  • Upload date:
  • Size: 530.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for y_py-0.5.2-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 d9082daf3e16e159cd66a042e7a2f7b76e924e903978502c7090e18aa6a54e1e
MD5 b007207b7bee702dc7dd182cfe19ccac
BLAKE2b-256 ee61fa2fc33a9073066167f5005715dc96a8fb950cfbe1c543b1d41f20d32f2e

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp39-none-win32.whl.

File metadata

  • Download URL: y_py-0.5.2-cp39-none-win32.whl
  • Upload date:
  • Size: 496.8 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for y_py-0.5.2-cp39-none-win32.whl
Algorithm Hash digest
SHA256 7a7fe9a5f59f7d3deade786bcbbd65fa830faa91c869288e02993e2a7c54ce0c
MD5 dfcbec1882974f1463b675c24b735f68
BLAKE2b-256 bb04f0be63f307fce119eb06afe81685e2b025073f411a170e18d47de44a59d9

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 409a8e1983ead82d56681cfdc3a02f177912cd4fd27c99fcf5c3273966a3b3d4
MD5 15af90976a243ad9e6431c91452f9b59
BLAKE2b-256 84cb8954dbdedd6dee3905b7766ad7de1c7361fe7d45a5d3139e8197b410df11

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 0a1134978f20cf6b7648151f9d58677665b67dbc828157d79deba5ee4e5a184a
MD5 5bce1f96c404e614e7eb5a0c09103b5b
BLAKE2b-256 ac6477a9ad407f640639859240c43b538eb09f677dded8cc4225107ee8dff6a3

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp39-cp39-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp39-cp39-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 7398e22b9602f9ba36ba26e58dba9f8d9736d588c9aacdca8907c2a2587eafd9
MD5 899c20e877d9bb1691fe136d88fd8662
BLAKE2b-256 3bbea4d127140b0587d7898f48125b71ecd44732d04946c9b6ce646ccc7e476e

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp39-cp39-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 65a79e9fa1839109d26896100f89232785e77e72cd7d54c9f005132c6c58e1f0
MD5 d12616e1cb992f35548f88296cd729bc
BLAKE2b-256 ac8f7d6f1bda5aeb0844b23ebce590661cae05539302e2cacf3e9b1e1bab3ec5

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp38-none-win_amd64.whl.

File metadata

  • Download URL: y_py-0.5.2-cp38-none-win_amd64.whl
  • Upload date:
  • Size: 529.8 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for y_py-0.5.2-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 7b0dbd129bce5e1fdb4ce12895e81483c3cd452ace25ab185b23b7d0d4878963
MD5 de140911b68224545843f57022d63efe
BLAKE2b-256 3a90f73b56fd71cc6ce0b8e623eb3b560cb98a688b569a393f4caa6a54fda57a

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp38-none-win32.whl.

File metadata

  • Download URL: y_py-0.5.2-cp38-none-win32.whl
  • Upload date:
  • Size: 496.4 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for y_py-0.5.2-cp38-none-win32.whl
Algorithm Hash digest
SHA256 7d871fec96f9a1a90e0ef323a09fb97d959c902c0c16c845d12ac4ac0cba0c26
MD5 1865fb7608ca67fe43191150387fb27f
BLAKE2b-256 8b9512f614da708d6418652c73ed9342fcd9b4d16e511a2b983514811c9b8f51

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6b001bf44e55ccbfef8627b6945a4ead397fd7fea8f3861937d81e900b517659
MD5 46ac21de76e5c10c96822975bbd0c707
BLAKE2b-256 4d02b46f2792382374eabe1fdf9aa3c829d21fa61e3895aad825d970f41596d6

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 9e7692141df7412a5a8ebaff54a3b37c49824913c34d7bf5dac9ef78b36d696f
MD5 c4d3921957e42de4cb388038dc75f1f1
BLAKE2b-256 c4cfa6d0cc2722c4839209d147c08ff6e81b1dcf9b0f91d4f35fc7822c9fde5d

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp37-none-win_amd64.whl.

File metadata

  • Download URL: y_py-0.5.2-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 529.7 kB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for y_py-0.5.2-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 6252e728ce09be3640569e4add99be5b6f864af92c89a62a49f9b609bcad5474
MD5 547feebc4c52bd21b3088d096514f5e4
BLAKE2b-256 72908ee7279db7edc18c0d1808da2059ba160480703a7e67e30a21c3ec7a6053

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp37-none-win32.whl.

File metadata

  • Download URL: y_py-0.5.2-cp37-none-win32.whl
  • Upload date:
  • Size: 496.4 kB
  • Tags: CPython 3.7, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for y_py-0.5.2-cp37-none-win32.whl
Algorithm Hash digest
SHA256 1e585c0a2cdadabb6ed3b6145014aa5be4dd81ca5de68b9dadda9074db9fc3a6
MD5 8a0d4fd1fd55d2195579ee3cfe879513
BLAKE2b-256 98403f5bf70347af8b3b9b904f474f9f86a88f2c5436ae23d1047bb3a0db846e

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0b9e11b9cbb03ae9b6ecc7423e558d625d593d880656e9a7c665766dba9b2c0e
MD5 7628dad98bd005e419cdf2b25f97f509
BLAKE2b-256 d7ade17f3fbe41ba469132ef583e2daedd7ab1e101a6b49dcdc61c2b098e90a2

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 9d45f3db288d9e5782f915060e54fb97c70c808f740bea60bdfba15d75073f5e
MD5 3735c3a6e7a23205f3b968ca602c179c
BLAKE2b-256 f7d77628546ad98ef7b32aac1615612afe2c22cfc47db4e14871fbfb41cca303

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp37-cp37m-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp37-cp37m-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 e5529e9a3f90188343a4146352528d69ac534280091a0913ae072bf92baedd55
MD5 c5810aebd1ab8b2d1859061bbf215378
BLAKE2b-256 9bebc541218ddd95506490ebe7dd19ecf871dcda1e70d4afe0951b7bd82f268b

See more details on using hashes here.

File details

Details for the file y_py-0.5.2-cp37-cp37m-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for y_py-0.5.2-cp37-cp37m-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 7de6d76622714efcb2e1232fcb6cdde7d9a4438e6dbb509dbe7cd7e9f5aa3383
MD5 b169acb5acd35fd46dddc0c6cce05522
BLAKE2b-256 a094349108c97eb04592eb05520ff37b6f85fd4e770293e2e481e59eec557719

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