Pure python callback/event system modeled after Qt Signals

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for massad from gravatar.com massad Avatar for talley from gravatar.com talley

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD 3-Clause License)
  • Author: Talley Lambert
  • Requires: Python >=3.7
Classifiers

Project description

psygnal

License PyPI Conda Python Version CI codecov

Psygnal (pronounced "signal") is a pure python implementation of Qt-style Signals with (optional) signature and type checking, and support for threading.

Note: this library does not require Qt. It just implements a similar pattern of inter-object communication with loose coupling.

Documentation

https://psygnal.readthedocs.io/

Install

pip install psygnal

conda install -c conda-forge psygnal

Usage

A very simple example:

from psygnal import Signal

class MyObject:
    value_changed = Signal(str)
    shutting_down = Signal()

my_obj = MyObject()

@my_obj.value_changed.connect
def on_change(new_value: str):
    print(f"The value changed to {new_value}!")

my_obj.value_changed.emit('hi')

Much more detail available in the documentation!

Evented Dataclasses

A particularly nice usage of the signal pattern is to emit signals whenever a field of a dataclass changes. Psygnal provides an @evented decorator that will emit a signal whenever a field changes. It is compatible with dataclasses from the standard library, as well as attrs, and pydantic:

from psygnal import evented
from dataclasses import dataclass

@evented
@dataclass
class Person:
    name: str
    age: int = 0

person = Person('John', age=30)

# connect callbacks
@person.events.age.connect
def _on_age_change(new_age: str):
    print(f"Age changed to {new_age}")

person.age = 31  # prints: Age changed to 31

See the dataclass documentation for more details.

Benchmark history

https://www.talleylambert.com/psygnal/

Developers

Debugging

While psygnal is a pure python module, it is compiled with Cython to increase performance. To import psygnal in uncompiled mode, without deleting the shared library files from the psyngal module, set the environment variable PSYGNAL_UNCOMPILED before importing psygnal. The psygnal._compiled variable will tell you if you're running the compiled library or not.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for massad from gravatar.com massad Avatar for talley from gravatar.com talley

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD 3-Clause License)
  • Author: Talley Lambert
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

0.11.1

0.11.0

0.10.2

0.10.1

0.10.0

0.10.0rc4 pre-release

0.10.0rc3 pre-release

0.10.0rc2 pre-release

0.10.0rc1 pre-release

0.10.0rc0 pre-release

0.9.5

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.8.1

0.8.0

0.8.0rc1 pre-release

0.8.0rc0 pre-release

0.7.2

0.7.1

0.7.0

0.6.1

0.6.0.post0

This version

0.6.0

0.5.0

0.4.2

0.4.1

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.0

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

0.1.0rc3 pre-release

0.1.0rc2 pre-release

Download files

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

Source Distribution

psygnal-0.6.0.tar.gz (1.1 MB view details)

Uploaded Source

Built Distributions

psygnal-0.6.0-cp310-cp310-win_amd64.whl (660.6 kB view details)

Uploaded CPython 3.10 Windows x86-64

psygnal-0.6.0-cp310-cp310-musllinux_1_1_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

psygnal-0.6.0-cp310-cp310-musllinux_1_1_i686.whl (3.9 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

psygnal-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

psygnal-0.6.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (3.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

psygnal-0.6.0-cp310-cp310-macosx_11_0_arm64.whl (729.2 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

psygnal-0.6.0-cp310-cp310-macosx_10_9_x86_64.whl (828.7 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

psygnal-0.6.0-cp39-cp39-win_amd64.whl (661.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

psygnal-0.6.0-cp39-cp39-musllinux_1_1_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

psygnal-0.6.0-cp39-cp39-musllinux_1_1_i686.whl (4.0 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

psygnal-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

psygnal-0.6.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (3.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

psygnal-0.6.0-cp39-cp39-macosx_11_0_arm64.whl (731.9 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

psygnal-0.6.0-cp39-cp39-macosx_10_9_x86_64.whl (831.9 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

psygnal-0.6.0-cp38-cp38-win_amd64.whl (665.3 kB view details)

Uploaded CPython 3.8 Windows x86-64

psygnal-0.6.0-cp38-cp38-musllinux_1_1_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

psygnal-0.6.0-cp38-cp38-musllinux_1_1_i686.whl (4.2 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

psygnal-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

psygnal-0.6.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (4.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

psygnal-0.6.0-cp38-cp38-macosx_11_0_arm64.whl (738.3 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

psygnal-0.6.0-cp38-cp38-macosx_10_9_x86_64.whl (833.7 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

psygnal-0.6.0-cp37-cp37m-win_amd64.whl (653.4 kB view details)

Uploaded CPython 3.7m Windows x86-64

psygnal-0.6.0-cp37-cp37m-musllinux_1_1_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ x86-64

psygnal-0.6.0-cp37-cp37m-musllinux_1_1_i686.whl (3.6 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

psygnal-0.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

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

psygnal-0.6.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (3.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

psygnal-0.6.0-cp37-cp37m-macosx_10_9_x86_64.whl (811.1 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file psygnal-0.6.0.tar.gz.

File metadata

  • Download URL: psygnal-0.6.0.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for psygnal-0.6.0.tar.gz
Algorithm Hash digest
SHA256 2182d173d489a45112d060bb5599aafcc365da0e93728186b13315ce3374df2d
MD5 af3333b5d0e3a4fff8911d834ff065ef
BLAKE2b-256 2723952cb34e918b130bfcd47fa0f827ca164fabeb26cde8f4e587cb0ce075ba

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: psygnal-0.6.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 660.6 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for psygnal-0.6.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 ef44fcb974057e3047c8f7f7de97baa71527e465010e4f7911db14747ed610ff
MD5 fcaf302a24ac38a6308808b0eea25785
BLAKE2b-256 9032d5bd2ccc97ba379f402df0cbcc67d28e02c75dfc8ed3bbea753320098f61

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a63ce2134aaf67059066889ec9ff9fe03e1919669096a8e8b210621fabb3313a
MD5 46124ff1e9c16c5fe24ec36e24bd26dc
BLAKE2b-256 1a6f97a4959749dcd65d7e9b270b6e471e1d4e8792f0413977b70d5e794aeb7a

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 e290c82f8971a60d3243cefdc818fe6bb4493668fb43d80933ee28a34579f9eb
MD5 d55e7e3bb27622df4b9bd6c6ace6617c
BLAKE2b-256 aa61256087a89ac57725c74f3ee38cfcecbfdab297753e7fb17ccf06700b8988

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ade1cfad6974fa3033758a146d064d2c92182cc2d305efd8207bb1535a0270b9
MD5 2bfccc446def60eb71781fc4d66a119a
BLAKE2b-256 ecf96492797ddb47c21a42fbcc369d440352d52c23730febeafec54de8b8a8f6

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 474b0445b0875126a52d98827ea97b7432c07753a1eedc02e5aaffd51d953569
MD5 790eb6a227edd2fd3d1ab22176b0e034
BLAKE2b-256 d27f41253d8ef85f1d886a8068a297d99abd51befdae7565bfec25f1422d8dd3

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fa7ed0c39474b4a9b3440bd699c5e623e7c720cfeea879a17f0b5f619f902a29
MD5 9763bc944bcf801f9e0c374579eb4393
BLAKE2b-256 d6262331284b62bae58da921392f24048fcccccccec9244600f75c2509e164f6

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 811d55095e1f2a27969b0671491ac34ec5ad6d07b05279c2b09af4f6d8445cef
MD5 e5790beb3d83fcddc3570390c4e03afc
BLAKE2b-256 2b8efe8118417fe64b9a681b809a7e2513cb3f56fb565ce9d01be16206db3354

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: psygnal-0.6.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 661.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for psygnal-0.6.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 4684db6da760182c95d451f3a3a08d36d6f41074e86c04e41fd3193fbbdec398
MD5 7b75b26cf3d4f24d7def81c3d8bec5f8
BLAKE2b-256 05b7ea2740b442d14ce4845a96c6b509f1c53a57057eb24f306825d86764fe20

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f6e6cdf5ec26005480b7be3cacc380e880682999d74d976b25dcb5c3512b59af
MD5 c1a59078d0644b7601e56565a1fbf0ed
BLAKE2b-256 69670781fb95103a515d9c9668677bb96d348d9ca76429f8ea0da2e3cfbcdd87

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 c15810a1763c946181b3d6a06086d594f0c8f80f1ff3777584d7c1cd012cd8a3
MD5 dfe28ed40ad897aa65da423a11b0f96f
BLAKE2b-256 c4ec1927b86e9c6174569f0996b5aec53aec467203da15fbab8fb52ae5d2a311

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6d7940da6bc20468859d835a1d32210c55fb839f91e0fadaf14b2ba00a4c73be
MD5 b57bf9bbdf9a6fe96e0fa666f8bdf5b8
BLAKE2b-256 ec48e84da87bb7d630e0b2ed4e56885c04050403cf3f1b240367fc6b434ff6d5

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 916c69b550d3a973e4a8b3ae945d27d16adfe8b743545c6d774586cb5c5dd6c9
MD5 cb9fe8e49e50e44bfe3cba9ada614de7
BLAKE2b-256 47b6bbf554ae74cdac7e8cf99134f8fe0f925d28e7a05504232a12c046f06ad1

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e272a0a108ef9d18999296442435b4b21d716c6a819ce37eee440dc842051cc8
MD5 f6cfacb4a969178541a91c0dee8d28e5
BLAKE2b-256 809497f813c20c3f00647ded25124ab96092c0848d9d1a833720fad9657734a0

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e6145b5b8525e17593d3c8dfa152eb5dfd2d614778bda59d56c94b7127e3fbcd
MD5 da10f723d60a8f9f10693c00acd3470f
BLAKE2b-256 1b4ec14d2a4e5314a112a2cfb1110d7a7d381911dc31a811dbf09e9ba7944fbb

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: psygnal-0.6.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 665.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for psygnal-0.6.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 0caad3efde90bf2da9cb9074c6eac99da79ed9e3c9336c3e672006c476f9c11c
MD5 d06d054f4eead32acce32c81b78d35f1
BLAKE2b-256 50db4863819f86d9f1eefb20f275cc6314f10b4f3af4468f2fd8f72e2d240807

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 aec9ac4a458a39eabcbc89d73c0cdd8896a6f4892186b5bf5002c3ef61cbb771
MD5 c4bcdc9d7c2260255417b6334ab2819d
BLAKE2b-256 fec4474ff3f2df6d7c46bf5f6cbb3736262273affbfcf9e9188dc136e0f52f65

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 00609916da2ae85bd47e5e231235fc385bf431124754d7c31ddfc7e68ab99afe
MD5 dcb73d1ee85bcea1785a73717891f3d9
BLAKE2b-256 242dc1ec75993fa792a83a91c8125a9a2e4e84145ec7eaaaacdec848ebc5651c

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3c90623c6b67907a8f3fe629e39236d25e0cb10998df532a2a90d6d67fff75ba
MD5 c386f25e0cd41e8588599305c7e22901
BLAKE2b-256 573e86a2bde0c3a97d545f1fd1423d719ef6e1ce28603db7566997a7060b1d6e

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 3701b4d4b454ed19fb3c01a95cc215d90a204b2026b5f27b972a7d17fd247737
MD5 b679a756aa06682210449b54bdaad0d7
BLAKE2b-256 9fdae297ca793d93b4ddfeec2abb24e5b2b51a10f23a8e942a5c0e37543255d7

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 cb3896203073ee6bb1e89bc011469a28090bf27ea5163f461d7024cc224a0182
MD5 58a70cc039bac3e2499b41d1b521bd1a
BLAKE2b-256 89c95865ed4e7a40b150953c83fca6e2e935f68bb129e89106e93538b6cd4ea6

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b0fc41216f0f109794ac16c1de749613452d8accc657d8029778ba2697072a6d
MD5 e1d0cf1167327b75e70a3125f60d5e2a
BLAKE2b-256 babb341cf7f03d3d4db54b3b43ff31f82881142b50bb498db37363273010d22e

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: psygnal-0.6.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 653.4 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for psygnal-0.6.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 f6cb7aedcdb35836b810d2f0396a7005c24a441b4fb97640cafd93a20797b9d6
MD5 877c8c919d7e708bbe9e7f1fb0f9b058
BLAKE2b-256 0df3be2ee06d3ca2f8b9e5ca8e32112fb7dafe7887550b88f3a19bddf0961072

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 161cbb41a32e5ead8f2558165ec45061dc76638799926a21e044b09c98b397a5
MD5 7f1fe9b8af6751ff8cad154f29bad33a
BLAKE2b-256 1578988a94b5add3b75c26b6c32d1cea7d78af4e98b4eef4ba71d03b32607bc8

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 7887044c55be1b542a0fab56ce98ace0814e3e8440d22f979a77c4e61b4bff9a
MD5 f3a0a058247fa4412f81609d3b0af7f7
BLAKE2b-256 bd68077e0e3a287d140f304a21f760e9deaca9a0d3580b10374a756ed56d0266

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 90352a127372cd42c7c275d09b479b4308244cb14ac53c7512f6786bdc27f237
MD5 d9465adcd5789fbdeab6f4ec58ad1953
BLAKE2b-256 5b0232b208eb5baa2d2da54a9c1bcb2fb2b97af9cefaecdc81b483cae9218bce

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e65ff84f8c620a86554e0859100ea86084a04438ba20484bd428510ccdd7e5a7
MD5 91e4914ffeea0490624ecb1aafea48c7
BLAKE2b-256 6899d8b8944377ca05743d2b0507219e499a617d909127d14b58da6ab0f25d4e

See more details on using hashes here.

File details

Details for the file psygnal-0.6.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for psygnal-0.6.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 cab1ac3e91d51b51b3b04e21c37c6c223454cd49a3d38ed88c95c1c04a0b929a
MD5 bcdd9a5823e00a90c146c5cf6a0ce8df
BLAKE2b-256 d2807ba8f72e5d2e0f11b866ec47a3ad221642e88619d4f53d816bf7210e7a49

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