bcj filter library

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v2 or later (LGPLv2+) (LGPL-2.1-or-later)
  • Author: Hiroshi Miura
  • Tags lzma, bcj
  • Requires: Python >=3.6
Classifiers

Project description

https://badge.fury.io/py/pybcj.svg https://img.shields.io/conda/vn/conda-forge/pybcj https://dev.azure.com/miurahr/CodeBerg/_apis/build/status/CodeBerg-pybcj-CI?branchName=main https://coveralls.io/repos/github/miurahr/pybcj/badge.svg?branch=main

In data compression, BCJ, short for Branch-Call-Jump, refers to a technique that improves the compression of machine code of executable binaries by replacing relative branch addresses with absolute ones. This allows a LZMA compressor to identify duplicate targets and archive higher compression rate.

BCJ is used in 7-zip compression utility as default filter for executable binaries.

pybcj is a python bindings with BCJ implementation by C language. The C codes are derived from p7zip, portable 7-zip implementation. pybcj support Intel/Amd x86/x86_64, Arm/Arm64, ArmThumb, Sparc, PPC, and IA64.

Development status

A development status is considered as Beta state.

Installation

As usual, you can install pybcj using python standard pip command.

pip install pybcj

Alternatively, one can also use conda:

conda install -c conda-forge pybcj

WARNING

  • When use it on MSYS2/Mingw64 environment, please set environment variable SETUPTOOLS_USE_DISTUTILS=stdlib to install.

License

pybcj library is provided under

  • Copyright (C) 2020-2022 Hiroshi Miura

  • 7-Zip Copyright (C) 1999-2010 Igor Pavlov

  • LZMA SDK Copyright (C) 1999-2010 Igor Pavlov

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v2 or later (LGPLv2+) (LGPL-2.1-or-later)
  • Author: Hiroshi Miura
  • Tags lzma, bcj
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

1.0.2

1.0.1

This version

1.0.0

0.6.1

0.6.0

0.6.0b1 pre-release

0.5.3

0.5.2

0.5.1

0.5.0

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

pybcj-1.0.0-pp39-pypy39_pp73-win_amd64.whl (25.1 kB view details)

Uploaded PyPy Windows x86-64

pybcj-1.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pybcj-1.0.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (25.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pybcj-1.0.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (25.7 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pybcj-1.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (22.3 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pybcj-1.0.0-pp38-pypy38_pp73-win_amd64.whl (25.1 kB view details)

Uploaded PyPy Windows x86-64

pybcj-1.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pybcj-1.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (25.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pybcj-1.0.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (25.7 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pybcj-1.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (22.3 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pybcj-1.0.0-pp37-pypy37_pp73-win_amd64.whl (25.1 kB view details)

Uploaded PyPy Windows x86-64

pybcj-1.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.4 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pybcj-1.0.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (25.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pybcj-1.0.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (25.7 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pybcj-1.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (22.3 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pybcj-1.0.0-cp311-cp311-win_amd64.whl (24.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

pybcj-1.0.0-cp311-cp311-win32.whl (23.7 kB view details)

Uploaded CPython 3.11 Windows x86

pybcj-1.0.0-cp311-cp311-musllinux_1_1_x86_64.whl (54.8 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

pybcj-1.0.0-cp311-cp311-musllinux_1_1_i686.whl (52.1 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

pybcj-1.0.0-cp311-cp311-musllinux_1_1_aarch64.whl (55.4 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

pybcj-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (50.8 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pybcj-1.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (51.3 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pybcj-1.0.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (48.0 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pybcj-1.0.0-cp311-cp311-macosx_11_0_arm64.whl (23.6 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

pybcj-1.0.0-cp311-cp311-macosx_10_9_x86_64.whl (23.8 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

pybcj-1.0.0-cp311-cp311-macosx_10_9_universal2.whl (32.1 kB view details)

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

pybcj-1.0.0-cp310-cp310-win_amd64.whl (24.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

pybcj-1.0.0-cp310-cp310-win32.whl (23.7 kB view details)

Uploaded CPython 3.10 Windows x86

pybcj-1.0.0-cp310-cp310-musllinux_1_1_x86_64.whl (53.8 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

pybcj-1.0.0-cp310-cp310-musllinux_1_1_i686.whl (51.0 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

pybcj-1.0.0-cp310-cp310-musllinux_1_1_aarch64.whl (54.4 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

pybcj-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (49.8 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pybcj-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (50.2 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pybcj-1.0.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (46.9 kB view details)

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

pybcj-1.0.0-cp310-cp310-macosx_11_0_arm64.whl (23.6 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pybcj-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl (23.8 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

pybcj-1.0.0-cp310-cp310-macosx_10_9_universal2.whl (32.1 kB view details)

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

pybcj-1.0.0-cp39-cp39-win_amd64.whl (24.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

pybcj-1.0.0-cp39-cp39-win32.whl (23.7 kB view details)

Uploaded CPython 3.9 Windows x86

pybcj-1.0.0-cp39-cp39-musllinux_1_1_x86_64.whl (53.6 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

pybcj-1.0.0-cp39-cp39-musllinux_1_1_i686.whl (50.8 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

pybcj-1.0.0-cp39-cp39-musllinux_1_1_aarch64.whl (54.2 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

pybcj-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (49.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pybcj-1.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (50.0 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pybcj-1.0.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (46.7 kB view details)

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

pybcj-1.0.0-cp39-cp39-macosx_11_0_arm64.whl (23.6 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

pybcj-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl (23.8 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

pybcj-1.0.0-cp39-cp39-macosx_10_9_universal2.whl (32.1 kB view details)

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

pybcj-1.0.0-cp38-cp38-win_amd64.whl (24.7 kB view details)

Uploaded CPython 3.8 Windows x86-64

pybcj-1.0.0-cp38-cp38-win32.whl (23.7 kB view details)

Uploaded CPython 3.8 Windows x86

pybcj-1.0.0-cp38-cp38-musllinux_1_1_x86_64.whl (54.4 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

pybcj-1.0.0-cp38-cp38-musllinux_1_1_i686.whl (51.6 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

pybcj-1.0.0-cp38-cp38-musllinux_1_1_aarch64.whl (55.0 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

pybcj-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (50.8 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pybcj-1.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (51.2 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pybcj-1.0.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (47.9 kB view details)

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

pybcj-1.0.0-cp38-cp38-macosx_11_0_arm64.whl (23.6 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

pybcj-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl (23.8 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

pybcj-1.0.0-cp38-cp38-macosx_10_9_universal2.whl (32.1 kB view details)

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

pybcj-1.0.0-cp37-cp37m-win_amd64.whl (24.7 kB view details)

Uploaded CPython 3.7m Windows x86-64

pybcj-1.0.0-cp37-cp37m-win32.whl (23.7 kB view details)

Uploaded CPython 3.7m Windows x86

pybcj-1.0.0-cp37-cp37m-musllinux_1_1_x86_64.whl (54.1 kB view details)

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

pybcj-1.0.0-cp37-cp37m-musllinux_1_1_i686.whl (51.3 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

pybcj-1.0.0-cp37-cp37m-musllinux_1_1_aarch64.whl (54.5 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

pybcj-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (50.5 kB view details)

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

pybcj-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (50.9 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

pybcj-1.0.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (47.7 kB view details)

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

pybcj-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl (23.7 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

pybcj-1.0.0-cp36-cp36m-win_amd64.whl (24.6 kB view details)

Uploaded CPython 3.6m Windows x86-64

pybcj-1.0.0-cp36-cp36m-win32.whl (23.7 kB view details)

Uploaded CPython 3.6m Windows x86

pybcj-1.0.0-cp36-cp36m-musllinux_1_1_x86_64.whl (53.0 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ x86-64

pybcj-1.0.0-cp36-cp36m-musllinux_1_1_i686.whl (50.3 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

pybcj-1.0.0-cp36-cp36m-musllinux_1_1_aarch64.whl (53.5 kB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ ARM64

pybcj-1.0.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (49.4 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

pybcj-1.0.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (49.7 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

pybcj-1.0.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (46.6 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686 manylinux: glibc 2.5+ i686

pybcj-1.0.0-cp36-cp36m-macosx_10_9_x86_64.whl (23.6 kB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file pybcj-1.0.0-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 41cb315abe76b32239b319e5af6ab07df60524d800c12d83f1db476251b4aaa9
MD5 fdf8fb8ab9c8bc91b2a57908172bbc1d
BLAKE2b-256 12f1e31a6226179c3e54616a08f5a8ddb9bfbaaa3f7273545ca828ca65cd09f2

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d51179ae73614f1d2ed58a28e635b1c3f40b8e9d2f8b8f2088557a5297ce7171
MD5 819d32cafe5e744273a64f627d905708
BLAKE2b-256 5deb665a20eadcb113ce82a5eb54ace4aca1fda5070def5199128df019e7b97b

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 efd51366952c8a94637be3601062ca26b1a392dfa51cdee25af0d70ec717acd5
MD5 53b33c546bae77bd7f58196a64bc2cfc
BLAKE2b-256 dfdfb27e379b5f9a1a0aed91f327b0adeb69a87d84b467962434e9ea7fd66136

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2bb6bb882bc16b96239ab986a367be0c99473683fe3d763f91f6b75d41c9a5f6
MD5 7757876ebdf17ca72f6ef0b20634e96f
BLAKE2b-256 71c88eec726c7b910e0a86d3ed7e195a9232c168742fc728b1f282e6f724f678

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0963de2a59859f50ae4f19a75470831044f771e5a1a475dbeb21cdeacd5403dd
MD5 54861233fcb271347069cc9d7e3488fe
BLAKE2b-256 0e529570c62b863eb240fd7f027a1c435ee06cd4766d2c73a3328e4f6f12bbb5

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 83b12ed2866671d38adc306d4625f3075307c4632608fa15898759a194364942
MD5 1ad4290b99287d4693b65eda051ee4f1
BLAKE2b-256 94a32e6a45b5a9178d1619231e35fb476c7064e40a1618c059e003e1ffa4face

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a510d5e91511455c21a1f83d620a4cbecd510463fac9fa50dfbd50364ec114a6
MD5 ea99c801de59949de696a6c0ed6da165
BLAKE2b-256 56cf7d590d7d6f9694db8740a8da2508b0928fa3779de73a4003f5c605ed7318

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d5441d84e8f27d51ff22074f7a22ee47eae6ac23c5d00f2a345bed4cab6cfa33
MD5 ec794a9368538675e5c02e1f0511ce27
BLAKE2b-256 8148e74023436860cdfb997e508fdcb9b9230acad0e3e48fa16919a256e5d6dd

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 4c793f049b0cad95045b16fed4605d5a26ec3d7987e83a59bfe1cfa4630bdb6a
MD5 fdbe45c737e6790d3c00ee0645ab9b5f
BLAKE2b-256 315f000ab665793139fb314a00a8f5dddb929a21b964e7fdb135f8d6df8cf543

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 39a1f6db44e7d4f2a2471dfb566f03bc6f2e305d9b97e3f2b1972fa644b5897b
MD5 3938db0acb94e325ae0f2a176feca96b
BLAKE2b-256 a6a3d8a3cfe7259379abc1ca4d2a5a6b0dd85d8caa9e67989c1c2b9bf40357f5

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 f12fc5a0b6594aa7cfe9a7cc3dd3c359555ecd135bd0c53d89bf8bcf7a549c30
MD5 2d5f5525c309a764b32d725ed88036f5
BLAKE2b-256 78a845e7d4e00de95c9f111addb9375d773a99d4b27310f1cd3bb8f69b7ca33e

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1896924339894486c4295176c449c4802d259e78ed492696de6d78a9d8534162
MD5 b55b30439a8c567db849023a5f02d64a
BLAKE2b-256 4ae7bef25c73f56f2b29a61fe40a9cd81de2d33f8c5179e43979bb09dabffa8c

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e24847c4e5e98d8e8752be5e30c9ffe6b2966166979c6d099c50c0e38c0ce7e7
MD5 821e9a124bc92ee3a620eb29312d0399
BLAKE2b-256 0c031d3db4512dc76495e6ffff5643482bb815925973b5ee131dceedd01747d4

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 9b9c64fba5a3a3e53fe8b5fe841b1ec98411a45ea56409ea877c6cc0fbd8b4d6
MD5 474d1fe104cd956871d9b58fb4af35e2
BLAKE2b-256 66792d67396f1248e7477e01a4d610d8265ba23cfd22d8535730aa88cf8313b1

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1dac84b24e808c5c2ba2045c3cc0e6956cb1ab58a529627fcb692790928698ed
MD5 0408cdf28f902fe517eac5fa9d698d21
BLAKE2b-256 97d927f6fd9f577d18c848d85414a3961e5b3ffeb79c5d7819a772e64fe4ead6

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pybcj-1.0.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 24.7 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for pybcj-1.0.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 48a837c72c9d7ab70a215f2ccf3b6738842d4adf7cba40b079ada794b60b8944
MD5 7051d70fa3ca832daaefc7aa6624653c
BLAKE2b-256 fb6afbdaf774d829faa41bcc6a08814dd0499d6981fe37ff0943760fa36aabb3

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: pybcj-1.0.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 23.7 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for pybcj-1.0.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 e45b7a94015adb74aa583ea65448372a009ac89bef6bef0a14b399e24a2fcca5
MD5 083df7afa1e71a57f9c96f4b168677ad
BLAKE2b-256 be84323c573d2fd417351c0e0669de844f5df532c2127bd3a0ad33fbb951dc16

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c39a991bb94a2fb99dd1bb46f86f3cb1f72210f9f950bace811e48abe93854a7
MD5 cee7b1f2fffa00504b5955c64047a8fd
BLAKE2b-256 36c92465b884c61eb2db1ed157a6ac4fce8bb60d34a2e45831a5d3d6a65dd622

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 2775eeb82dc5fba9c45bb270b73c7fa610de47e64eb766a031a1883d95d64b19
MD5 fdc0e8e7642edd8e2b32407136cf8d37
BLAKE2b-256 6e2b6e893a428c5d5193e0fd6f309251a7ae60394e9f55e0f5a4811d85388572

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 79a21c7725e0ea715fd51a7cc6f01d961112067ecf61a4f757a9e228f50caf5d
MD5 653e6e9ccc6ad343b6ca08be0d6b79e7
BLAKE2b-256 31ec06d442e5987b74eedbb66ce463012842bc12af3bfda531aa580bc5408437

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f3bacc4b97bb24b71965b276ed16330dd76f5288330305cbbbf2e5db93495f18
MD5 d6106cc1e8279f90feee7db1fecc4b45
BLAKE2b-256 593c4f5c677127027d8ed56ff72e6e4f7936829c6489ae551f87544671cd9e4a

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 be3c78ccf752b777e695a0b2b0913efdf119817414ffe5f5c7208dfcee192c50
MD5 c4ba0e02e46ecc2922b7add4d5591e75
BLAKE2b-256 2f00f8ff02f7834392406b7c282e2f3d6e44a0c7dcf5377fd1a00e9bae71423b

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 146dfe790202c70a6e525c567ff346a7a07329b8b69ff7b344b1239b4765587f
MD5 06c49b235a57c9f209964ac9a058694d
BLAKE2b-256 e80f1b2123e100deb06370a008dc0ae17cb5ded324365e7c3608fc9b1d04cb5f

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b92ce922f11243a4dd9865c5453185b17a0a45d723a3a76ea622a93a40f9aa35
MD5 fbb333b559aaa1906d2a1900fea0e6c7
BLAKE2b-256 4d3003617bcfbf6d48898b6b49fe7f45999f7bec2f3b194cc346aa69ceef476a

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 7906b5ddfae2f0e71b187bf37ccbe614792f9dba308633e01ec0cc4c8a26f39d
MD5 b5672ff99fddac3ba62a392491397703
BLAKE2b-256 d2345e62605a9287db8a65186e822f23c86767a94d38ba81e18aafa6c72487fe

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 5f9c5768f8a66b56b91a31db9020fec9040c9079a09afdd74a7cec1dfa88ebf7
MD5 76fd54b3ffaa0b32d8c98eee0cd7126c
BLAKE2b-256 9305f83955f617b9885ff2926a17fe8dbb13e2fcab96c4a3a0389c470d6b84dc

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pybcj-1.0.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 24.7 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 pybcj-1.0.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 a471ce838c6ba3600bfadfd0189e39ff863b4dfe0c26b26833ffe56dd359216a
MD5 715563a93615bd73001ad5a686edb65a
BLAKE2b-256 4718c084ee4bc965a08e27831d8a94002ab48c5d34630f0ee532d0dae1e4f97b

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: pybcj-1.0.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 23.7 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 pybcj-1.0.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 8baf12e1c184d094605f0de5cb69a63a982255c763712bd8d5f9a19a9a7fd0e5
MD5 4bfaf0014b3cea3193f1808f0ad1b7d3
BLAKE2b-256 8da34b72c012bbe3721ec07c82d63aaa8afbb220c23321b28358f78d9b89a294

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 aac7f51aefab5a2db9b7bea780cef5615af2e40b1eee7518f8f69cba46b7d58f
MD5 ecece4abaa927d16fb459ec91d4988eb
BLAKE2b-256 cfee5f46536f7380dc4be5df03bc45249c31f367fdc37d7b979f336a754cd42a

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 f44bd012c861dc1d739706fcaca7774f73680bd050ac2b8d93ac485cefd31032
MD5 4710f7c3a1f92df51e9bb2ce27796e04
BLAKE2b-256 5a2dea5471fbe6853237b39967883cf9a17ce7384e0eca08d7088cb200e60087

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 7cab11dd39a658982bb2156d00f585608e9486da7fbefd71caba28e647108d7f
MD5 460efbefd2bcfb75632215f326b749fb
BLAKE2b-256 acb0a5eeca92d0cae0ce748b519f9954a6737bafcbdb5792b021a5284102d81e

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9f44c71c866dd25cb50aebd7b78f02a973bd21be7f0352f49ac7ced7c7e1e228
MD5 482449e1fd9feb0b5dfc59da08713af6
BLAKE2b-256 a6360b2f6223df9d76f1a39fe480001a201c4683ed0dfc818eab55b5c8b3019c

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 db6ba0f9f5d8a017dbd84df3729490b1510cd31322ee388e6f8f25ae4925cb9d
MD5 9c00a7e6a878fbc555c91140d3677348
BLAKE2b-256 e09fb1678796a0538e8b4b797c04b7382f829f624daa915cd4e2c115dcc2c1f9

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 8941d934af7d14de2d0154b14433896c3660d9dac6d9197e5265e043797fe94d
MD5 a56c45953a05aef02f808a47a4578b48
BLAKE2b-256 fe3d6334a46d2cfd2da343d3637e04ea8dfc654dec990c3fba5c936945b61384

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c40be25def3b808d26d31139705817f6f868afa6280fdbfb873ab7efa52dd873
MD5 6470f107ca67d6c550058fcb0a8c650a
BLAKE2b-256 d38ad7d23baa3b2bc6da09b401f4662e9cc13a4049c9cb36f8bf53e571862c95

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 971268dc11f44089cc18f946c14b1e18d555e51454bb41fdfa542b07c8c53e29
MD5 612bd0417d2ada4b36b8b536d608a6e3
BLAKE2b-256 c283121f4b27a9291885fd15e6dd40c52d66290e791658ab3359cf468d8bc5bd

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 ce9b81d71cd4af5263fc0fdd628776eff1e5368f3d5d856736ac8aaf8a4893c3
MD5 1e03cf59ff71afb6b8b3cde7c3c3fe6d
BLAKE2b-256 693d7297394230271773198817c2d1e225878a0af240fc59a1688782a6f7c298

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pybcj-1.0.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 24.7 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 pybcj-1.0.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 cddacd1157172b79d1f674cc83a2567180cba7a171f141b6a262e83426b3ac0c
MD5 d1d5654ecf23396ba97c42205063ac04
BLAKE2b-256 848393aab92354b94b643589813a54e9702ab43e7a01c1b9374c2e3cd77c175c

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: pybcj-1.0.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 23.7 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 pybcj-1.0.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 44d788fef3be74c345d7db0fb489e322c13884204cbbb78e41758e05749bdd40
MD5 3d2b14e74d149dd01ac65765463f7366
BLAKE2b-256 2da5f58fb8045cbe1626a02be2c1583c60326a2f9368678ac96577d2bd34877e

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 876545df2cd5e909ab9f2b212d8519cd670dc032b0ad6a07e5617293dfed5b94
MD5 d6fadfdb83019260d82976467eba8bf3
BLAKE2b-256 79afb8f7da2320d038a32702d34ecd8a0a8aac9d2f6a3cc86ea51547165cca3b

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 6e25c56aabdb97719ef11b4b58fa37f05c826316064ccfdc8550944ab59ce8df
MD5 56db293d3bcb0cf03e600f2aaac24f37
BLAKE2b-256 6b2545d71bf5b04627e63ba76b4019704ade6dd3a24cceaf38fea685179a8c63

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 caba93f002982c28df6bcbccf64f3d71c1e55991832fb2d0fed96a7c1befe338
MD5 c186d607708505d4652c68fbe108ae23
BLAKE2b-256 eb51e0b2d430dbda2e6c04835751bb58fb14c37e3362b0ae192813c8114f7826

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b76c151137a9a23cabe1e6186cb3017213ae1ef1c39ae27bab85616730e4d641
MD5 296014e655de134d6b632e5e32efa744
BLAKE2b-256 cd928d597b11ef10c91a9d05180a1028980c869299bf38929a4288a302ce6b9a

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9afb2243922882572a238b8b0182313719e01748a7268d61c1d78d83a4fce449
MD5 3e01db22234e2f9454dc3fb81cc944e0
BLAKE2b-256 a1708f389fccd1af65c6a5b8151c4eb2daacb65885d05d52879a925b5b514f3f

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b66742d17b1889455c4563ffa87935a2948839cb3fa233c71c4ecf9f29af1f15
MD5 cca9afcd7ff7f18ae63d10fe65cc82c2
BLAKE2b-256 d510393adbd04eeb26a710fe6a0f2bfdb8421dc36f748cf63b6c4b986e8a8be7

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 de0099f00ec60838a0b12374095621c497469a8f13163e9cbb90f84229486935
MD5 327020a39980629edc14a9310d42215b
BLAKE2b-256 6bf1abad41d2ba5852619f145e6738d9be97ca9fac9e9d629c0427e7fb9b7ff6

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3b9a73df57c823ea4ef0c73faf2131d55d18d91e396a2159d1558ce0f085dd9b
MD5 0f9cadf5d70d34fbeab9ae7052494927
BLAKE2b-256 dd7165bdc49e7b6c028a52350379fa78982c79a503487f4b7dd5deaa9d029f51

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 1f8754c933418cd74614906cc935b169afecb203dc4a8ab896369244faab02dd
MD5 c771b711fd8018f32d1f7c2ec2eacec3
BLAKE2b-256 9f67b607e1e728c8e7f5bfd117ea3b6ec658606533b9d81a6e8e7a40829a61ca

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pybcj-1.0.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 24.7 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 pybcj-1.0.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 86071dd0b9e34ba11fb9c25859669bde29f8733eea6058d4c05db1a5d1123a7d
MD5 9e5291e5da0a7dbf2643584d4281b356
BLAKE2b-256 6795b925ee588d2e6a95180b795d25d53593d94c26d0a4625766156996e6b08b

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: pybcj-1.0.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 23.7 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 pybcj-1.0.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 c5afa7099d2ac07a861fb5aeee12a6ccdc162be113ab5915af7c9d2e572d4763
MD5 f2b141a8bb0e5e35155fbf11462b0ca4
BLAKE2b-256 a7175362bd5390eac4d45451c61070a70a7bd85f97339d839d2033b54f84b024

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 3bfb00ecbf156d09a10ec3315989568408976d9e5972e30ede813c3997e12eff
MD5 1a4e6e731477c8ed7e0aa8a8209a83cb
BLAKE2b-256 1e70a9704ba28261b5d8ddd007cb02c542893b116973dcc7ac51a1d1fd9746f4

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 429b361fb27c5b7f2ed7a48bee0702758d36686486653ebb54b7a2ba82f05340
MD5 b706b56114e7f91af44c4456a49eedc1
BLAKE2b-256 86725508216608eb52c14ea774f6927807c9c523b7033761010b325a7d117428

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 12071af8ae809b42e56c422a98f43f21fc29e2ca7467650f8c785f62dffba1b4
MD5 cbb57d08b95a17c65b73f8bc793ea034
BLAKE2b-256 9bb4c30a193b5b4f02c6b0fe331c5782fe6fe17eb345c73e14d9de88f8df167d

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5861fc6dcb81e3875b5b8dba57e4bbc23249ab1b6cc5cb18acc78cee2ffb00de
MD5 c037e63f4cb768c0065ec7287b156d63
BLAKE2b-256 7582bbd4fa7ed1e432026375cd2f94267e58918cd56c4d82214c9a003de6e5e6

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f9e2bcedffef0e77a39ac6c140c52823e290bfa2230e0c85fa5a944bcc77229e
MD5 d753bc7b63eb396336e5c27d01a2f2ea
BLAKE2b-256 d1de5f2bec4b17523fe2093c3ba0334d38a907421b359e6fd2487bd95f7f9692

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 86ade209ee87e7cde2c616ff32c9c390141303dd74908ee2bc01fb948aeb2c8f
MD5 7e4eb901c9f0298939efba2bdbc215f2
BLAKE2b-256 187f1f35555a84b1d82259ee6a862977b978ade563ce663d1acff418b7121084

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3dc8a60cfb3f6943e3acf37a938d9ca8758e41ffca87abd05fcb085770d0c9e8
MD5 5533f58ff52eb0e8fcb1cf31bb77c685
BLAKE2b-256 e790c0a842ecdb81dcade2165e4914aabc0be393c4eef877ddde1c777b1360d2

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c1ff62af674e3bf303a6895a7067e34eb3561b4582ba9b06c0d1cf745feb0464
MD5 e13263e166f23c2310847d2580bf9902
BLAKE2b-256 f60de8612f925c0df188e614769aabb32407cb45ed59aa9ccf5b498171a486c8

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 3ce4b0a77fe56a6333b56b596941454827e8ff11a6546964e3fa9c2db5a9832a
MD5 aca47b2255b3a85a20b0cf410d7ba336
BLAKE2b-256 64bd766fa5431d39dbd96a48f5e26dd023377a29228571a099b64a7bf2aa532d

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pybcj-1.0.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 24.7 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for pybcj-1.0.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 24122728c53da3fcc9e6823865c1b2f2aaf2794e158b5c109e8f798cce9095cb
MD5 dd8c3d3ea1b3e1452349cbaed6dac6c3
BLAKE2b-256 da1c98bbb983b7d18dfe0404eddd961f0ca975ffbbcc417eaa249aaf6561a07c

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp37-cp37m-win32.whl.

File metadata

  • Download URL: pybcj-1.0.0-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 23.7 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for pybcj-1.0.0-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 ee102306a1388bd87cceb354db7db8091a2f6e341e64e849f5dea6bd08e2bf90
MD5 4bbe036395f63d68dfac3e5862d65490
BLAKE2b-256 629c0a35b527c82fdde7917eb8296da52b1242b79f8b82a7db5c397a6233203b

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 fbdbe6178d2b452365718aaccf5d7c8d1cfc1ae4f9b728a38bf624bf7a8a1383
MD5 4a4576da2cd3221c232c6cd794f02456
BLAKE2b-256 97e9a8e77247e871be62477b580c152bc860b55d11f801fea8c218d9d99e6873

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 31c5b9c3cb026da654b2257da92b4a76914e97f430043ddcb724129e2a71d9d8
MD5 ca22081359417dee8bf9be7d619e44ea
BLAKE2b-256 b6e50279d90d0b3912dc0b16a0534aa70018711b4e705d812a2c207d05255365

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 50be7493857514f7aa5bd622bdb50eaa1b58ef0f777d5e731d528405a8d1d021
MD5 8ffbe477a6eccb6ad063db7173e5354f
BLAKE2b-256 2e1d31e5ebe939b029208fbf5ab36c1a2d0d954f4448f703fcdec53a86dd2a1e

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ceba4b4b8b846d9e29f6e3ace2f775e035474401b8f80b561a96aebdcfa1b6d0
MD5 03aa8a614d1798bdef51fb7f411a7759
BLAKE2b-256 84c5d06902abbb03a84583601810d7a0a52d05ac0b5ab68c0faa3262cdc0e01f

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d3a5eee65da94a5d903341756ec2ca877472a88c119d02cbcdde309f1603761e
MD5 c6dd8fc59225625c0c217bfee96f1be3
BLAKE2b-256 5b0e66deb10c3e5a00b5e3e15634ef9be002efbcf1ec09c999c3a48b4870f000

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 7922a2cc93ce9161b675f0a43710fdabd1cd2b421005aae4a47ad0154c445b8e
MD5 0111e9e7198cf1226ecb1c842274afdc
BLAKE2b-256 6348fb457ee70c1555f30e170dd5bb4341a092d5cde0310421db335db678e9ab

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 55054de8292529fa5087d3f4bffb49f5f85b8c1ed7744bcebaa1d002d976983f
MD5 e3f112528ab0f5565f8979759ee98860
BLAKE2b-256 20ad8484ade089867498443d49a4ec8fa21082144643052b52e0edab81f7d22d

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: pybcj-1.0.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 24.6 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for pybcj-1.0.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 bfd08ae5afbe83a888b7a1f1638da82d0bad1c508e232c1d23e0f62b2609eff0
MD5 31f51afef67783ae3e558dc047c8b4ee
BLAKE2b-256 6a483728afe1b9aff998a7960bcdc637b55a630b1ef75d02d188c70c3f7097c9

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp36-cp36m-win32.whl.

File metadata

  • Download URL: pybcj-1.0.0-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 23.7 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for pybcj-1.0.0-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 97f9a1ab99d7988b43af62ddc9b9d22bb886adbf6ac11810bfb318f4d3b2df11
MD5 6d34e16dd5d9aa04b2a46fb96fbe3792
BLAKE2b-256 792e7fa39d98fe7f002b9a1106f61d1e5e05a776bd400d56eb20b21c2b97fb04

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 4fdfbd94182cf9e44299a6ff85534b50cbc39f57d9d5cc76263214639461ac13
MD5 3694fa69299a547a47fd1cc9983730bf
BLAKE2b-256 1b839322f832044325d9703ea57ca87a82904e9da679d855ad09e5d1d1598640

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 536ab79b6618ade03fc8a666e96ad729091bb23efdc83cb0464d44fbb0f34d34
MD5 530304398d35fa9f5b172f6febe8e026
BLAKE2b-256 ada7581472b61ecdfda85e27ce34ea32ef82f8ad3753b859bd127d175c5a9863

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp36-cp36m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp36-cp36m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 369200cc1559a094fd701540ecb0cd06cd4073bc7a77088f9ef96c3b7742e757
MD5 b1170b2c749bb29960e767c020963b60
BLAKE2b-256 1e021b4e21d0ede55aee665e22f4a6f86582f6e4b53b9a36dbab670193d4c236

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c371b6eb88709f45c97faf7867d2fc5fecefa031b734e85f3b87127dcf1e296d
MD5 2759658de4025044dabfc0b460d24f0c
BLAKE2b-256 08938d993079d1376affe740847e83fae7346b0524da19fe36e4b0e0d9557877

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2024f538f457808c5cca41044b7533cfe06d314a47410b2d4a635673843f343d
MD5 445508c69cec414e132160b52c482f7d
BLAKE2b-256 99d32e92f651b308fbd57b9f7c6c18ade3e6d39d23c10c83a860e039379c00b9

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d505c1ba201dcbebfea91698087cdba7358fb7a5d863a7eda434cd818383d876
MD5 5d6fc41bcd156af87b47a93b7702b92d
BLAKE2b-256 2571b8ca34d5e65999b42936787e8df5ee807aeac172ebf07b8ec3111be54adc

See more details on using hashes here.

File details

Details for the file pybcj-1.0.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybcj-1.0.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2ddd98eb0b63b8fdb05df8bf014a75cfa611653093c149c88a534bd0319c0929
MD5 0e5ef675407e9e3bf17470b4ff7e81c7
BLAKE2b-256 104bbd17fc1ba3320465adf8b5bf1a4975eea54f62cef9c4bc6f34c86ab0be16

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