A small and insanely fast ARCFOUR (RC4) cipher implementation of Python

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for rito.0305 from gravatar.com rito.0305

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

Test Test Coverage Maintainability Documentation Status

A small and insanely fast ARCFOUR (RC4) cipher implementation of Python.

  • Strongly focused on performance; entire source code is written in C.

  • Thread-safety; you can improve further performance with multi-threading.

  • Easily installable; single file with no dependency, pre-built wheels provided.

Benchmark

Below is benchmark metrics against 3 major RC4 implementations.

Benchmark

The whole benchmark code is in ./benchmark.py.

Install

Install from PyPI

pip install arc4

Or clone the repo and do install

git clone https://github.com/manicmaniac/arc4.git
cd arc4
python setup.py install

Usage

from arc4 import ARC4

arc4 = ARC4('key')
cipher = arc4.encrypt('some plain text to encrypt')

Because RC4 is a stream cipher, you must initialize RC4 object in the beginning of each operations.

arc4 = ARC4('key')
arc4.decrypt(cipher)

Documents

Here is the API reference.

https://arc4.readthedocs.io/en/latest/

Testing

python -m unittest discover

License

This software is under the MIT License.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for rito.0305 from gravatar.com rito.0305

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

0.4.0

0.3.0

This version

0.2.0

0.1.1

0.1.0

0.0.4

0.0.3

0.0.2

0.0.1

Download files

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

Source Distribution

arc4-0.2.0.tar.gz (6.4 kB view details)

Uploaded Source

Built Distributions

arc4-0.2.0-pp38-pypy38_pp73-win_amd64.whl (9.7 kB view details)

Uploaded PyPy Windows x86-64

arc4-0.2.0-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

arc4-0.2.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl (6.2 kB view details)

Uploaded PyPy macOS 10.7+ x86-64

arc4-0.2.0-pp37-pypy37_pp73-win_amd64.whl (9.7 kB view details)

Uploaded PyPy Windows x86-64

arc4-0.2.0-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

arc4-0.2.0-pp37-pypy37_pp73-macosx_10_7_x86_64.whl (6.2 kB view details)

Uploaded PyPy macOS 10.7+ x86-64

arc4-0.2.0-pp27-pypy_73-macosx_10_7_x86_64.whl (6.2 kB view details)

Uploaded PyPy macOS 10.7+ x86-64

arc4-0.2.0-cp310-cp310-win_amd64.whl (9.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

arc4-0.2.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (19.0 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

arc4-0.2.0-cp310-cp310-macosx_10_15_x86_64.whl (6.3 kB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

arc4-0.2.0-cp39-cp39-win_amd64.whl (9.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

arc4-0.2.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.8 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

arc4-0.2.0-cp39-cp39-macosx_10_15_x86_64.whl (6.3 kB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

arc4-0.2.0-cp38-cp38-win_amd64.whl (9.6 kB view details)

Uploaded CPython 3.8 Windows x86-64

arc4-0.2.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (19.1 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

arc4-0.2.0-cp38-cp38-macosx_10_14_x86_64.whl (6.2 kB view details)

Uploaded CPython 3.8 macOS 10.14+ x86-64

arc4-0.2.0-cp37-cp37m-win_amd64.whl (9.6 kB view details)

Uploaded CPython 3.7m Windows x86-64

arc4-0.2.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (19.9 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

arc4-0.2.0-cp37-cp37m-macosx_10_14_x86_64.whl (6.2 kB view details)

Uploaded CPython 3.7m macOS 10.14+ x86-64

arc4-0.2.0-cp36-cp36m-win_amd64.whl (9.6 kB view details)

Uploaded CPython 3.6m Windows x86-64

arc4-0.2.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (19.0 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

arc4-0.2.0-cp36-cp36m-macosx_10_14_x86_64.whl (6.2 kB view details)

Uploaded CPython 3.6m macOS 10.14+ x86-64

arc4-0.2.0-cp35-cp35m-win_amd64.whl (9.5 kB view details)

Uploaded CPython 3.5m Windows x86-64

arc4-0.2.0-cp35-cp35m-macosx_10_14_x86_64.whl (6.2 kB view details)

Uploaded CPython 3.5m macOS 10.14+ x86-64

arc4-0.2.0-cp27-cp27m-macosx_10_14_x86_64.whl (6.1 kB view details)

Uploaded CPython 2.7m macOS 10.14+ x86-64

File details

Details for the file arc4-0.2.0.tar.gz.

File metadata

  • Download URL: arc4-0.2.0.tar.gz
  • Upload date:
  • Size: 6.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0.tar.gz
Algorithm Hash digest
SHA256 55e7d58ed32144e5c0e59f00dbe78b212cc0178b7231a2442c19880e9ea1e989
MD5 065af1d9fe4144b5838e9f8f35df1fa6
BLAKE2b-256 4c1058d83b3e2df8bf734821dfd6655351de75e3155f10678cf2fd8eab289424

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-pp38-pypy38_pp73-win_amd64.whl.

File metadata

  • Download URL: arc4-0.2.0-pp38-pypy38_pp73-win_amd64.whl
  • Upload date:
  • Size: 9.7 kB
  • Tags: PyPy, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 ae9ff3f01a5f19a92413a61b1993ebe8ddd1321dafb05d1869675bf53f5e697f
MD5 5f89f1c8712cb00722510ce3e10654c8
BLAKE2b-256 13bcf3593d1606a3a7dfa0ac253e761549dc78440c706e5f2262b59ab4797c63

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arc4-0.2.0-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 990c18c1dea4d7a067aa403439cc03c4673395d9d89e38b5c6d507e96e1467fe
MD5 fced2df87de9a98c5d3cd2b6b9b6a5ca
BLAKE2b-256 1608e0e539c4244b92b3464af531edff7d5a628671c7d8b127370dfee59961db

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: arc4-0.2.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: PyPy, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 7b6184a09b88aca40da18d9e6653ce2db51795b76be19ee21b0fd50decffbd86
MD5 b5352f53f79d6bc6ce0ed4037f482040
BLAKE2b-256 6a76b385b217977d0a7bdfa3c27f777c83c2eb102be8fc18e769ec96dae55f47

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-pp37-pypy37_pp73-win_amd64.whl.

File metadata

  • Download URL: arc4-0.2.0-pp37-pypy37_pp73-win_amd64.whl
  • Upload date:
  • Size: 9.7 kB
  • Tags: PyPy, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 0ebe1e9b0c0fea0852773a4a227580d07ba9a067c5c7c2d362f6205fee408327
MD5 e82cdf26915f809031d9bf444d5d76d4
BLAKE2b-256 960aa12af95468ade656b873c2042c2f199c8aa9eed1bc5aa400f9c96806bb0c

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arc4-0.2.0-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 257f2ce1f941d83ede9b680a96dddd027d4456127fb4d52c5809fdf12d65c436
MD5 19cac0f04f5372e7c19f7c60330d5068
BLAKE2b-256 a8371c711c32fd2cdf8a57abe372bcb421b888414de50ac5d5eaa93fac2773ad

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-pp37-pypy37_pp73-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: arc4-0.2.0-pp37-pypy37_pp73-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: PyPy, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-pp37-pypy37_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 a9448971fe54f3b1bb1a61a6f9ccb97cf19de274a00417f3be6023ef2f0ba8f7
MD5 2d1b84dcca165b8f8a42c78d182cfdd6
BLAKE2b-256 3f26906df7b8243ee17582d909345a95b69a628b3afcfe523c1d27d66adfbd39

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-pp27-pypy_73-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: arc4-0.2.0-pp27-pypy_73-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: PyPy, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-pp27-pypy_73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 1f04ba6437b201d36b8bc70914a9325db092b1cf9d87221a574f5c1b5ed79935
MD5 2f27d3b0bbdac80183737f4ad35205b2
BLAKE2b-256 62080ee3ac5630ea798930baac239f78b580f2a7bbd1da2f3aba90320d207a1b

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: arc4-0.2.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 9.7 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 ab9f467b65851d2fdb90718b1af332ccb62dff2fcf81f8ee45922a5ee060cf4f
MD5 ee5456b7a78a11e39ee0040ffa08a447
BLAKE2b-256 eea74f7a7fa8cbc59f49ecff5ec9e7d367c37557d0276672b18d760f5cb0e0b2

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arc4-0.2.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 09d04e124185251edbcc77b8df3f3a20a1f06f08a7c19e068f335457a3440cb2
MD5 2f9067aaf0d52761e7377ad4da63ca0c
BLAKE2b-256 79a97a6c41d74758af744a61911e6b75b71103133b925b463322a1729e18fbc1

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: arc4-0.2.0-cp310-cp310-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.3 kB
  • Tags: CPython 3.10, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 b140ef79ec03291d78d7a0ff741fc942791f82737bd9f4cf3fcfad2ca75733d3
MD5 a384420f397641ce0d16e5c390d91c4b
BLAKE2b-256 4eff1bff2fda1311aa568b6ac29eff55f3e101987316892d3669f145b04678d4

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: arc4-0.2.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 9.7 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 07abdab94f0f1b043ba704e8aa8eba54b105b139fe4f75596b6ae9b18d0eb505
MD5 d9ec94514549f387020913eba6e9bbb3
BLAKE2b-256 2434c3cb26c6d310aa9fe15a966c5893ce4b0546769752c92e5fc75ca7313213

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arc4-0.2.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2c054853b91164f5a82f957a3dff382884e22937163efbaae17b0d4bbea46366
MD5 6f40c2fffef3d1178a9e34f956ea27a8
BLAKE2b-256 d9076c7f2dc53c2c33bf4c9b0df48f6a95f3f03c8385892247d1a55f3a28daea

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: arc4-0.2.0-cp39-cp39-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.3 kB
  • Tags: CPython 3.9, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 9d77375fd5e4775977f6fff5e96ac154dc476b7c385d8f8165b212fc275db322
MD5 9ba0b5063d410caddec26340d5393d62
BLAKE2b-256 481540219f1ea6e6bf79b5ea69a7bacec1ed8bd0373c0081ae110308eddc2d41

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: arc4-0.2.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 9.6 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 71e96fdcea6095fd32c62ecf2b6b3dc4b2bafd84467c589de84e31a4891ccff7
MD5 e3d7cc3cd2a8de7ee42b6d632ce6d702
BLAKE2b-256 e5be9cba36c5e280b2d93f90c7caca39508d2930a72881a7b91f22a0283d64d6

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arc4-0.2.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cf128ecd864bb4a20ba254ad839aa731d7f517476b09c10b2150685161a6c193
MD5 2f93bb43ce2eb4096d32276ae51f1405
BLAKE2b-256 bba26dade180f18e1136dec0ec419c9c1547765e0f8cfc2efc6e9053aa3ca506

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: arc4-0.2.0-cp38-cp38-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: CPython 3.8, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 cf12fabb44f568b152b974342668a1352530a0406c6c81f37c835621571d2242
MD5 1213a2cb86428a883b6f486f5251c818
BLAKE2b-256 fd1a9dbf39e79decad13c42e2f5bb87bb821ef32d8a5a4879207a0a2172666a3

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: arc4-0.2.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 9.6 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 0db490dcef1e00015a3c1c766805650cb22697fca095bd6a8678d0c7cb021754
MD5 103450e15712ee5519b52bcf08c1aa0a
BLAKE2b-256 2c528e115ed3114aedd44bd36e23622bea654dba93a7b92529e1ce21c7edf489

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arc4-0.2.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f968f8eae0d99b614543db53f54c4679e3c13f447b20dbea0155c8e0ff02d534
MD5 24c6fa4e512b0d570c39e0d9855df450
BLAKE2b-256 24259973216ff1c56fbf53b31c1348146f492abd6bd0deddbcd0469082970cf4

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: arc4-0.2.0-cp37-cp37m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: CPython 3.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 581bad5813b161ad11f93382b079a4582bd46b32b5fae80bae416f4a9beaeb8e
MD5 4650662de7953feaf431b763f5a1cd53
BLAKE2b-256 9a6bd0e4a162ddca83b9a4cc9d45df7b8836ed6783b6c443bba0a0191737c865

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: arc4-0.2.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 9.6 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 e6bdde32746edcb6e3990b6c35843b6d231431acddcb4d6f08e3dfc53bc03dc9
MD5 ac69824d6b76607b7aac6fff75be52f0
BLAKE2b-256 9c365e6535bee4de9d07e58433f35bbd12c9a8bbc0ccb82e4a0b8a8de41fbcb0

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for arc4-0.2.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 673d2e8bbb21ac147a101048ac5b06e15efd8bd34458898f5d5c5998ee6ab82f
MD5 f5c3a7f93e0c3856d5079ef324d0985c
BLAKE2b-256 d2399380f7c30516f3aa5eda85ffcff02866edb081f32cbd98dc14265b1292e4

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp36-cp36m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: arc4-0.2.0-cp36-cp36m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: CPython 3.6m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-cp36-cp36m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 837131b72902fc2e73aaf13e2f2d65c6e4a3216a6759ebab21eedb558d54269c
MD5 8e759e829c85543ff5df5d386b66519a
BLAKE2b-256 e691ec6d022880c22a6ed98c8b4defd0672aedd8aeb7c90d6949515ee4bdcfed

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: arc4-0.2.0-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 9.5 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 d45ac7c1a5c32dab417760bcca0bad7c0097d5afc0ad0b62d90152facd1b4082
MD5 f75afd2926080bb0b46672729ec79386
BLAKE2b-256 d1cb91de92dad61db777b909ecfb440447d308fd056ccd3c51e5948fc5e3e9e7

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp35-cp35m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: arc4-0.2.0-cp35-cp35m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: CPython 3.5m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-cp35-cp35m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 a49a3848f3f7fbca40d972afee436226a6285d294b1abc8036e6de0d2c741610
MD5 87d7735fb88712f19e14fbda6a358570
BLAKE2b-256 69d1207487a078b451478e113c845eb99b28803fa142b92d2791426314daa751

See more details on using hashes here.

File details

Details for the file arc4-0.2.0-cp27-cp27m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: arc4-0.2.0-cp27-cp27m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 6.1 kB
  • Tags: CPython 2.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for arc4-0.2.0-cp27-cp27m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 a154dc0a328d2f15bc2761fa18a12f97c48c5c99e9f4be77fd3ad1f62769720e
MD5 a7a6a2b84b73c85ea86db810daff4b41
BLAKE2b-256 e998905c797c18aa9f7d5e6e1928c7fea9720afef7dc9802595806935f625947

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