mmgroup

Implementation of the sporadic simple monster group.

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

This is the python mmgroup project.

It gives the user the capability to compute in the Monster group. In mathematics, the Monster group is the largest finite sporadic simple group.

Project Documentation see

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

Quick installation and test

For Windows 64:

pip install mmgroup
pip install pytest
python -m pytest --pyargs mmgroup -m "not slow"

For Linux and macOS with a 64-bit x64 CPU:

pip3 install mmgroup
pip3 install pytest
python3 -m pytest --pyargs mmgroup -m "not slow"

Python wheels for some other platforms may be built with the cibuildwheel tool, see

https://mmgroup.readthedocs.io/en/latest/guide.html#cibuildwheel-label

License

Distributed under the terms of the MIT license, mmgroup is free and open source software.

https://github.com/Martin-Seysen/test_repository/blob/master/LICENSE

Project details

These details have not been verified by PyPI

Project links

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

1.0.2

Feb 27, 2024

1.0.1

Feb 23, 2024

1.0.0

Jan 23, 2024

0.0.14

Jan 19, 2024

0.0.13

Oct 27, 2023

0.0.12

Jan 9, 2023

0.0.11

Oct 19, 2022

0.0.10

Oct 11, 2022

0.0.9

Sep 1, 2022

0.0.8

Jul 12, 2022

0.0.7

Dec 1, 2021

0.0.6

Dec 1, 2021

0.0.5

Aug 2, 2021

0.0.4

Jun 15, 2020

0.0.3

Jun 10, 2020

0.0.2

Jun 4, 2020

0.0.1

May 20, 2020

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

mmgroup-1.0.2-cp312-cp312-win_amd64.whl (2.0 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.12 Windows x86-64

mmgroup-1.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.2 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.12 manylinux: glibc 2.17+ x86-64

mmgroup-1.0.2-cp312-cp312-macosx_10_9_x86_64.whl (2.6 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.12 macOS 10.9+ x86-64

mmgroup-1.0.2-cp311-cp311-win_amd64.whl (2.0 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.11 Windows x86-64

mmgroup-1.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.1 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.11 manylinux: glibc 2.17+ x86-64

mmgroup-1.0.2-cp311-cp311-macosx_10_9_x86_64.whl (2.6 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.11 macOS 10.9+ x86-64

mmgroup-1.0.2-cp310-cp310-win_amd64.whl (2.0 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.10 Windows x86-64

mmgroup-1.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64

mmgroup-1.0.2-cp310-cp310-macosx_10_9_x86_64.whl (2.6 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.10 macOS 10.9+ x86-64

mmgroup-1.0.2-cp39-cp39-win_amd64.whl (2.0 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.9 Windows x86-64

mmgroup-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.9 manylinux: glibc 2.17+ x86-64

mmgroup-1.0.2-cp39-cp39-macosx_10_9_x86_64.whl (2.6 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.9 macOS 10.9+ x86-64

mmgroup-1.0.2-cp38-cp38-win_amd64.whl (2.0 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.8 Windows x86-64

mmgroup-1.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.0 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.8 manylinux: glibc 2.17+ x86-64

mmgroup-1.0.2-cp38-cp38-macosx_10_9_x86_64.whl (2.5 MB view hashes)

Uploaded Feb 27, 2024 CPython 3.8 macOS 10.9+ x86-64

Hashes for mmgroup-1.0.2-cp312-cp312-win_amd64.whl

Hashes for mmgroup-1.0.2-cp312-cp312-win_amd64.whl
Algorithm	Hash digest
SHA256	`29d246bc173504c59684500daf7092c99b00334ee2a509d14a4e759caab4fc7b`
MD5	`94057b9145a4b589b393c5802389c25a`
BLAKE2b-256	`dc11a64ee4902daa243bec92d73fc4e1efc74c73d33898edac21ee698d1ae6b5`

Hashes for mmgroup-1.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for mmgroup-1.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`fbf584b6f5ed539ce04c2e76390371bc5d6189e2b6e1e790b0c7165fe7720aef`
MD5	`036080ad813530daa8440e1d0ca24663`
BLAKE2b-256	`0a39040623033f72632cedc3a6406be797d3a607918319b7a366f86c90b99788`

Hashes for mmgroup-1.0.2-cp312-cp312-macosx_10_9_x86_64.whl

Hashes for mmgroup-1.0.2-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`25494431e2598fddf5b1fa64ede628b42b582af0a41af1d6b04fbc92a055d58f`
MD5	`fe467ac671e695174f3e7ebbfb557354`
BLAKE2b-256	`1e0fa8cb9052246caab6b770a90e2e9b397ac988e8fcee3bb7bb28faad8c14db`

Hashes for mmgroup-1.0.2-cp311-cp311-win_amd64.whl

Hashes for mmgroup-1.0.2-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`a203eee0aa7454eeaf074747ad9c2229baabbd0a7f4f8e46586075e3fafe338f`
MD5	`dc1f4329ce266ebdf4ea050e029ba301`
BLAKE2b-256	`e4cd43521764dab0f120a773d3f69f886e0cb7efb70c5875c0312531c8c58c50`

Hashes for mmgroup-1.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for mmgroup-1.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`fb99353a4195bcc591851ec7029f69f478665a9e04a208957ca69089a4df53bd`
MD5	`58346bf48c11f0e66fa6b124944e36b1`
BLAKE2b-256	`1647c79a3e1e41507a710091302a92b04b91421432995fb4b92706d46f2d480c`

Hashes for mmgroup-1.0.2-cp311-cp311-macosx_10_9_x86_64.whl

Hashes for mmgroup-1.0.2-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`cc81738f3f980f77f5d1914552d5ec9ffcbf65ef2979387c80b7c10cf0849c98`
MD5	`70866361cbe761fe8a7d4b58cb708951`
BLAKE2b-256	`4c4d4bcb56e0ea8ebbe9d3002c7ee107ed47cf3b4c8db759d6aea42e4610fcf6`

Hashes for mmgroup-1.0.2-cp310-cp310-win_amd64.whl

Hashes for mmgroup-1.0.2-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`e86400c79e27f933d69dd5689dffc1644f5ebcd75146e42db6f31c2740225718`
MD5	`3ce6006e57a0f1660d8d6bf91fc26ff1`
BLAKE2b-256	`73a2218fab114050e2c5b4130c0dda8b2c0a6b9d7c062147cb76d21beb49a31b`

Hashes for mmgroup-1.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for mmgroup-1.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`39f849325bf7be2f151706c0eca8e3d72cb76d2ad94692a92441e0f30190d9a8`
MD5	`8cc9ff40614a54acc5361bd44c283306`
BLAKE2b-256	`6959f212e1066ac7c18deb165e20a0662dffbbd02c4b59f9ccf45e4074507362`

Hashes for mmgroup-1.0.2-cp310-cp310-macosx_10_9_x86_64.whl

Hashes for mmgroup-1.0.2-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`d785fd0d0909a67216790ae088e97ae7f769e255773825a5d2a62d6afd7a3880`
MD5	`070daf0dc45300daa649acd41e400b3c`
BLAKE2b-256	`87504997cd3c8b6c68bd9cc691abaa481c647c81e8e5a95b09b1072582112448`

Hashes for mmgroup-1.0.2-cp39-cp39-win_amd64.whl

Hashes for mmgroup-1.0.2-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`e5c95c1581df495ab32f06ac1eb3b148f007bf49ba887eff47250a01c4027b30`
MD5	`52e2a5855efa695d8aa2f6fc9e8cb143`
BLAKE2b-256	`4403dd6e93a85262c365e10c8cb298078794bf3162c3eddebb8fb42e6c35b93c`

Hashes for mmgroup-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for mmgroup-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`d4921705caa1456717983b70f8a1193085d66afcb3be874a5ff6c8948c45f139`
MD5	`7f7bafddba33fb2537fd6fc320c656c7`
BLAKE2b-256	`57c1338afacba7222ab9cd5772538704584fd07a888802b4076c9859932cfc49`

Hashes for mmgroup-1.0.2-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for mmgroup-1.0.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`b39886846be7da24c14cb5a7b15f8edd16bb88ca0bb65818aa61408d3a47b32c`
MD5	`29e8ebb37de39faf686a8175662c85ce`
BLAKE2b-256	`85dbd48a022bdddd3ff605d2536d5569694f2fb842a7ad33d744bd0b0d86af86`

Hashes for mmgroup-1.0.2-cp38-cp38-win_amd64.whl

Hashes for mmgroup-1.0.2-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`9307e9321a0008ba4ce0f9621f26ffca45a11a4912d720cee110cfd78fdb889b`
MD5	`476dab66949dfd0179869572ee6c670e`
BLAKE2b-256	`1d7801ba51e73decdd4382c68c43b3fb0b188fab98621aba7cecd2da5b0d31f2`

Hashes for mmgroup-1.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for mmgroup-1.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`c4d88f61d9025a83f6eee6c760f38c65734a908102fae2fcd793920d8b31877e`
MD5	`fa495475f6a1a392a9e7db1b3334150b`
BLAKE2b-256	`1686369bae240c1d5b5418fe2ec6a08aa00973b0ae57e4d135ca58b01a1dae5f`

Hashes for mmgroup-1.0.2-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for mmgroup-1.0.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`782bed7c8d389b312965aef09dc549a726a13ce5770549bbecf8f0497fe2d7dc`
MD5	`9140fb338941e7e33e7a467f9c72373f`
BLAKE2b-256	`f1ec65d93cc43cac33f2ff44275afd18dbd3a02e34008aeaffc7b308fab44393`