Skip to main content

Permutation and permutation groups

Project description

cycles

View build status Coverage Status PyPI version

Permutation and permutation groups

Reporting Issues

Please report all issues on github.

License

MIT

Project details


Download files

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

Source Distribution

pycycles-1.0.10.tar.gz (41.1 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pycycles-1.0.10-cp314-cp314t-win_amd64.whl (179.6 kB view details)

Uploaded CPython 3.14tWindows x86-64

pycycles-1.0.10-cp314-cp314t-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl (882.5 kB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

pycycles-1.0.10-cp314-cp314t-macosx_10_15_universal2.whl (320.8 kB view details)

Uploaded CPython 3.14tmacOS 10.15+ universal2 (ARM64, x86-64)

pycycles-1.0.10-cp314-cp314-win_amd64.whl (152.1 kB view details)

Uploaded CPython 3.14Windows x86-64

pycycles-1.0.10-cp314-cp314-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl (870.8 kB view details)

Uploaded CPython 3.14manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

pycycles-1.0.10-cp314-cp314-macosx_10_15_universal2.whl (296.1 kB view details)

Uploaded CPython 3.14macOS 10.15+ universal2 (ARM64, x86-64)

pycycles-1.0.10-cp313-cp313-win_amd64.whl (150.1 kB view details)

Uploaded CPython 3.13Windows x86-64

pycycles-1.0.10-cp313-cp313-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl (883.0 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

pycycles-1.0.10-cp313-cp313-macosx_10_13_universal2.whl (294.8 kB view details)

Uploaded CPython 3.13macOS 10.13+ universal2 (ARM64, x86-64)

pycycles-1.0.10-cp312-cp312-win_amd64.whl (150.5 kB view details)

Uploaded CPython 3.12Windows x86-64

pycycles-1.0.10-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl (890.3 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

pycycles-1.0.10-cp312-cp312-macosx_10_13_universal2.whl (297.1 kB view details)

Uploaded CPython 3.12macOS 10.13+ universal2 (ARM64, x86-64)

pycycles-1.0.10-cp311-cp311-win_amd64.whl (152.3 kB view details)

Uploaded CPython 3.11Windows x86-64

pycycles-1.0.10-cp311-cp311-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl (907.1 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

pycycles-1.0.10-cp311-cp311-macosx_10_9_universal2.whl (294.4 kB view details)

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

pycycles-1.0.10-cp310-cp310-win_amd64.whl (152.2 kB view details)

Uploaded CPython 3.10Windows x86-64

pycycles-1.0.10-cp310-cp310-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl (869.5 kB view details)

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

pycycles-1.0.10-cp310-cp310-macosx_10_9_universal2.whl (295.8 kB view details)

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

File details

Details for the file pycycles-1.0.10.tar.gz.

File metadata

  • Download URL: pycycles-1.0.10.tar.gz
  • Upload date:
  • Size: 41.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for pycycles-1.0.10.tar.gz
Algorithm Hash digest
SHA256 8e1957cd2135152320a3a9ee79cc85c720817bba910c02f03100f68297db0029
MD5 1d8fd361de6a521c0c535ff075729dc3
BLAKE2b-256 45f1863d3915594874e5f2623a198f517b628cb0492f85f1705b85b470417cd4

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp314-cp314t-win_amd64.whl.

File metadata

  • Download URL: pycycles-1.0.10-cp314-cp314t-win_amd64.whl
  • Upload date:
  • Size: 179.6 kB
  • Tags: CPython 3.14t, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for pycycles-1.0.10-cp314-cp314t-win_amd64.whl
Algorithm Hash digest
SHA256 d7b1908060d74587078946c530b0db6756d2e8c64691c2d3de133f62098e3f06
MD5 186decdc7ac8a51dda3e78fca3d07dc3
BLAKE2b-256 485b60a15b8e7818bb7b2488599ad07ddc71661c099c146786e7687564c748aa

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp314-cp314t-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for pycycles-1.0.10-cp314-cp314t-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 1cd4d6598014abe26907701cc30dd609d8cbee1554f294f1459c925f6a9966a5
MD5 e97e983485790e107a7ab4b882a93612
BLAKE2b-256 08e3ea10dce660da33c3d08e7d701cf8b9c8246177e775144227dcc34fd647b4

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp314-cp314t-macosx_10_15_universal2.whl.

File metadata

File hashes

Hashes for pycycles-1.0.10-cp314-cp314t-macosx_10_15_universal2.whl
Algorithm Hash digest
SHA256 0c3c27995770f6088cf92dfedd02d420568e6eeb213e5d7540cf23de29783b0e
MD5 3a980e7110d2016f13bfd57da9a91d73
BLAKE2b-256 c644eacb38091f6d44a140e72649ee92ca24641fb00800c0478e0010637330fd

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: pycycles-1.0.10-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 152.1 kB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for pycycles-1.0.10-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 577f70166dc67be41f3f563690440d266e8f073a0b20232bae64eb6a107a11d4
MD5 eb8be65fb02179121a61ee2f6f44a0ac
BLAKE2b-256 b15febcf1832352d9df096058c95f7a33c32620eb79916c59cdc36330e229c10

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp314-cp314-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for pycycles-1.0.10-cp314-cp314-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 532b5361d9e9e2f76669bf4c921b670e65a28d7082cc02da0def6e015cd0f58c
MD5 9cf5bb62efcbb18e178759278af8e461
BLAKE2b-256 78ac351c690e123a7dab3eed5fcaf52046ebc74571284f58d6b614d3d334ffd9

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp314-cp314-macosx_10_15_universal2.whl.

File metadata

File hashes

Hashes for pycycles-1.0.10-cp314-cp314-macosx_10_15_universal2.whl
Algorithm Hash digest
SHA256 01c7020b6c0a9e5f9d309703798e080be33bf83fda81ff082f2afec1c1eb884c
MD5 bdf740cdf0caeb67adb846af25849402
BLAKE2b-256 827a7fd1d780b2f290f423e350cb7a2dcec169c4e272d92aa6867b45270d5a13

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: pycycles-1.0.10-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 150.1 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.9

File hashes

Hashes for pycycles-1.0.10-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 9992ddc48f78b85c5fa28379e3f4e241c508a47a1212d3d806200015f6cd2c4e
MD5 a05633b233f03b15e6bf8cd66ae36179
BLAKE2b-256 c10e72db24aeb21852a91489bafd754f601387abafd634b93a7a9c3100201395

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp313-cp313-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for pycycles-1.0.10-cp313-cp313-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 411f008c05673ff93140367380ca0c65c8e620e0df13a2b1762e2d8e83d07443
MD5 5f9e9824bc777b47967f6dd16f74dc0a
BLAKE2b-256 ec6b11f1a651d6d3e387408954c1eb4bb9ee5172405eba6097c272e5fa20a645

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp313-cp313-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for pycycles-1.0.10-cp313-cp313-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 1a80c2bf00422138568f2da668acdcc5019670f6123f66e7e9c0b40f255db0c0
MD5 c698fd283823e0a74aaab81d60177fec
BLAKE2b-256 11164ab48c303e9a61790d31a8e644fd5d861cd3da2cdea49d639c78fbf29da4

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pycycles-1.0.10-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 150.5 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for pycycles-1.0.10-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 8b560ec156460ce0ea2174d8b384d448e4bb7b4c2f937827b0ca462af18a6786
MD5 0dd2999b76fe8787aa13f7e0378d7331
BLAKE2b-256 6d85619772b9050ea2c4bb559a1e2d4ac534effc47e3925df94f84eba3b45e3b

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for pycycles-1.0.10-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 433971de9400496a0c472dd903fbda2d1724e45ccd2921bd91337b44cd689ba7
MD5 8bb5c53287a03596bcab797ba9b8a608
BLAKE2b-256 c9ee41d9e96f02ea6a2d0d6ab21d18309a257115f295d5172c3eb473f504b1d9

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for pycycles-1.0.10-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 9375090bb50e986a221ac78c09d60bc21a27dd239fd464f8a4e524d2cfc633c1
MD5 ced62a16bd2f44b2f85cc61cfed4efce
BLAKE2b-256 6317ef6d86507e2d7cae599e6237d2f8973a4d7410304ab111bebfe332c5b2e1

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pycycles-1.0.10-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 152.3 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for pycycles-1.0.10-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 0e4b95aa07c0f45d36792d7b97db0458d5b10eab2aa06a8784e6da409dc7090a
MD5 9010544d699310ad1f654110327ef02d
BLAKE2b-256 41cf7f9a5b185f6b06363a00316003a3d81009acf75cb81c8f54bd330c1836d2

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp311-cp311-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for pycycles-1.0.10-cp311-cp311-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 515977a1f18fc7342ab62adf2fafd30011b045edcb8f2b3fb2df3e508a6e8432
MD5 74f327f03ef913422751fc1464bc9ae5
BLAKE2b-256 20c3791cd4cf181d8274c02e069ad83ab474ed6c8c40600e49b575443f263a9d

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycycles-1.0.10-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 a14b57f278024ca1cdc9f456baa7b96e846b41e2db4f17a793d320f946d7855c
MD5 5c203550216861048f01851299376c7e
BLAKE2b-256 3670bd199c7a8cc2d7cee7508a7af08fdeadd9fcecaa5e9d4dad71b1fd246ca6

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pycycles-1.0.10-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 152.2 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.11

File hashes

Hashes for pycycles-1.0.10-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 29514b35a5a6d6f42b693f0fb42a6ac30f5fa26fab24410c971428638f190e1e
MD5 949751d107c4dc0d7d216a434063b28b
BLAKE2b-256 58670190ecbfdcad9b14e29db28ea829e47cb222201b1b476a50aa5e724afaf3

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp310-cp310-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for pycycles-1.0.10-cp310-cp310-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 8cac33e0fae0462624138f790b7f89c4bd4aed9720fd884e3b2b241a6eb5239a
MD5 da9de06596f7a252c2326b6dc8128194
BLAKE2b-256 643561e1b09421d1e7955037f3c3f427e5007939a4e0827fe0d4bba2169e46c2

See more details on using hashes here.

File details

Details for the file pycycles-1.0.10-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pycycles-1.0.10-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 baaf01c49f69b50155c7c6486c63abdfd22e59169348303eefd73e2a887967a3
MD5 be8c0da7822597f96ae485d5ba8bc124
BLAKE2b-256 868131aa483ec2ce8644d711145d4438ffc8bb0b80f7820bd3c81b86e694b073

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page